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Carey of Battery Park City Authority reflects on the events of the past year, thanks supporters, and encourages a return to normalcy.-2041694151/block//slider-buttons-level1":"steve-tiddlywiki-exploration","$:/temp/appear/Hyper211407297/block//dataset":"steve-tiddlywiki-exploration","$:/temp/appear/Hyper947816403/block//dataset":"steve-tiddlywiki-exploration","$:/temp/appear/Identify and Define Analysis Tags-1738796007/block//define":"steve-tiddlywiki-exploration","$:/temp/appear/Identify and Define Analysis 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TiddlyWiki?-1434962192/block//software":"steve-tiddlywiki-exploration","$:/temp/appear/What is TiddlyWiki?-672006115/block//challenge":"steve-tiddlywiki-exploration","$:/temp/appear/What is TiddlyWiki?-672006115/block//free":"steve-tiddlywiki-exploration","$:/temp/appear/What is TiddlyWiki?-672006115/block//hypertext":"steve-tiddlywiki-exploration","$:/temp/appear/What is TiddlyWiki?-672006115/block//software":"steve-tiddlywiki-exploration","$:/temp/appear/What is TiddlyWiki?720385555/block//dataset":"steve-tiddlywiki-exploration","$:/temp/appear/Wiki211407297/block//dataset":"steve-tiddlywiki-exploration","$:/temp/appear/Wiki720385555/block//dataset":"steve-tiddlywiki-exploration","$:/temp/appear/Witnessing-142613885/block//slider-buttons-level1":"steve-tiddlywiki-exploration","$:/temp/appear/Witnessing264853545/block//slider-buttons-level1":"steve-tiddlywiki-exploration","$:/temp/appear/Writing 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listing of sites & pages":"steve-tiddlywiki-exploration","4.36.67.70":"steve-tiddlywiki-exploration","45thpeacemakers.de4est.com":"steve-tiddlywiki-exploration","64.156.27.17":"steve-tiddlywiki-exploration","66.40.240.240":"steve-tiddlywiki-exploration","911 Blog Links":"steve-tiddlywiki-exploration","911 Blogs To Explore":"steve-tiddlywiki-exploration","911blog":"steve-tiddlywiki-exploration","911blog templates":"steve-tiddlywiki-exploration","911site template":"steve-tiddlywiki-exploration","911sitenote template":"steve-tiddlywiki-exploration","911sites":"steve-tiddlywiki-exploration","A Web page that anyone can write":"steve-tiddlywiki-exploration","A collection of images gathered on the Terror Hits Home site's splash page.":"steve-tiddlywiki-exploration","A fire truck covered in debris at ground zero.":"steve-tiddlywiki-exploration","A flag hanging in the damaged Pentagon became a symbol of the Marine Corps' strength.":"steve-tiddlywiki-exploration","A list of the released names of the flight attendants who died on American Airlines Flight 11":"steve-tiddlywiki-exploration","A list of the released names of the flight attendants who died on American Airlines Flight 77":"steve-tiddlywiki-exploration","A list of the released names of those passengers who died on American Airlines Flight 11":"steve-tiddlywiki-exploration","A list of the released names of those passengers who died on American Airlines Flight 77":"steve-tiddlywiki-exploration","A new article stating that the attacks weren't just the terrorists' fault, it was our government's too.":"steve-tiddlywiki-exploration","A platform for writing, reading, thinking, teaching, learning":"steve-tiddlywiki-exploration","A priest in California created this banner for the Episcopal Church Center in New York.":"steve-tiddlywiki-exploration","A rector of Parish of Trinity Church writes about how the world has changed and a poignant moment when his colleague rang the bell at St. Paul's Chapel, located at Ground Zero on Friday, September 14, 2001.":"steve-tiddlywiki-exploration","A shot of pedestrians shortly after the attacks among debris from the towers.":"steve-tiddlywiki-exploration","A site hosting photos of the 9/11 attacks.":"steve-tiddlywiki-exploration","A tribute to the rescue workers - a poem over a graphic depicting a firefighter bowing his head with two angels.":"steve-tiddlywiki-exploration","A website showing before and after pictures of World Trade Center displays a photo of the twin towers before the 9/11 attacks.":"steve-tiddlywiki-exploration","AZSites LLC.":"steve-tiddlywiki-exploration","Actors and networks are monads":"steve-tiddlywiki-exploration","Actors are defined by networks. Networks are defined by actors.":"steve-tiddlywiki-exploration","Add metadata fields to be applied to identified objects in entirely new study":"steve-tiddlywiki-exploration","Add-on":"steve-tiddlywiki-exploration","Advising":"steve-tiddlywiki-exploration","Advocating":"steve-tiddlywiki-exploration","Aerial photo of Ground Zero shows the proximity of St. Paul's Chapel and Trinity Church.":"steve-tiddlywiki-exploration","Afghan Women's Mission urges US Goverment to resist military response":"steve-tiddlywiki-exploration","After the U.S. war on terror is declared popularity for Osama Bin Laden increases.":"steve-tiddlywiki-exploration","After the attacks, the Marine Corps reported an increase in the number of Marines returning to active duty.":"steve-tiddlywiki-exploration","Ahlul Bayt Digital Islamic Library Project":"steve-tiddlywiki-exploration","Airwise News":"steve-tiddlywiki-exploration","Airwise News followed developments in airport security, such as the deployment of National Guard troops at the end of September.":"steve-tiddlywiki-exploration","Airwise News published updated flight schedules for major U.S. airlines after the attacks.":"steve-tiddlywiki-exploration","Airwise News reported large layoffs by airlines in the weeks after the attacks.":"steve-tiddlywiki-exploration","Alam, Fareena":"steve-tiddlywiki-exploration","Alternative To? Replacement for?":"steve-tiddlywiki-exploration","American Airlines":"steve-tiddlywiki-exploration","American Airlines dispatches teams to help families of those affected by tragedy":"steve-tiddlywiki-exploration","American Airlines established a separate page with updates related to the terrorist attacks and plane hijackings.":"steve-tiddlywiki-exploration","American Airlines release a partial list of the victims involved in the 9/11 attack":"steve-tiddlywiki-exploration","American: Airlines announced that all airplanes had been accounted for and safe.":"steve-tiddlywiki-exploration","An unknown producer created this page to explain what he suspects about Flight 93.  He provides evidence he has found that leads him to believe that the government has not provided the public with the whole story.":"steve-tiddlywiki-exploration","Andrew Horwitz believed that September 11 represented a major shift in American politics.":"steve-tiddlywiki-exploration","Andrew Horwitz recorded in his blog his desire to help others.":"steve-tiddlywiki-exploration","Andrew Horwitz treated the first anniversary of September 11 as a day of reflection on the shock and confusion of the tragedy and what followed.":"steve-tiddlywiki-exploration","Andrew Horwitz witnessed the tragedy firsthand and recorded his disbelief and shock as events unfolded on September 11.":"steve-tiddlywiki-exploration","Andrew Horwitz' blog dedicated a separate page of entries to the disaster at the World Trade Center.":"steve-tiddlywiki-exploration","Andrew Horwitz' blog revealed an interest in learning more about the World Trade Center and how this tragedy could have occurred.":"steve-tiddlywiki-exploration","Anhold, Jon":"steve-tiddlywiki-exploration","Anti-military":"steve-tiddlywiki-exploration","Appropriating":"steve-tiddlywiki-exploration","Arab American Jounal posted article reporting on leaders appealing to people to not lump all Arabs/Muslims with the terrorists and their perspectives.":"steve-tiddlywiki-exploration","Arab American Jounal posted summary of individual rights as provided by the National Lawyer's Guild.":"steve-tiddlywiki-exploration","Arab American Journal posted Attorney General's statement regarding Arabs and Muslims":"steve-tiddlywiki-exploration","Arab American Journal posted prayers for peace from several different religions.":"steve-tiddlywiki-exploration","Arab American Journal posted response to support offered to its community.":"steve-tiddlywiki-exploration","Arab American Journal posts patriotic content":"steve-tiddlywiki-exploration","Arlington National Cemetery":"steve-tiddlywiki-exploration","Articles categorized by source on the Evergreen State College library site.":"steve-tiddlywiki-exploration","Artist posted patriotic images":"steve-tiddlywiki-exploration","As early as the evening of September 11th, search and rescue dogs were used to search for survivors.":"steve-tiddlywiki-exploration","As the war on terror begins overseas, American Muslims face tensions at home.":"steve-tiddlywiki-exploration","Assessment & Presentation of Set of Observed Pages":"steve-tiddlywiki-exploration","Assisting":"steve-tiddlywiki-exploration","At the end of September, the FBI released photos of the 19 hijackers of the four planes that crashed on 9/11.":"steve-tiddlywiki-exploration","BPC's Emergency Information site allows users to check names of people reported safe or missing.  They can also upload information about the status of safe or missing people.":"steve-tiddlywiki-exploration","Background":"steve-tiddlywiki-exploration","Battery Park City":"steve-tiddlywiki-exploration","Battery Park City's site links helpful information to its residents about environmental concerns caused by debris from the 9/11 attacks.":"steve-tiddlywiki-exploration","Ben Fritz, one of the three founders of spinsanity, reports on a New York Post editorial board blaming the Clinton administration, and the Monica Lewinsky affair for the 9/11 terrorist attacks.":"steve-tiddlywiki-exploration","Ben Fritz, one of the three founders of spinsanity, reports on a column written by Robert Scheer claiming it to be invalid.":"steve-tiddlywiki-exploration","Ben Fritz, one of the three founders of spinsanity, reports on an article in the Washington Post written by Jim Hoagland that uses victims as a rhetoric shield to make is position more powerful.":"steve-tiddlywiki-exploration","Ben Fritz, one of the three founders of spinsanity, writes an article about the importance of rational thinking after the terrorist attacks.":"steve-tiddlywiki-exploration","Blogger posted various quotes in response to 9/11.":"steve-tiddlywiki-exploration","Bloggers such as Andrew Horwitz reported their feelings of shock and dismay on September 11.":"steve-tiddlywiki-exploration","Both WTC in NYC are hit by planes on 9/11/01":"steve-tiddlywiki-exploration","Branch":"steve-tiddlywiki-exploration","Brendan Nyhan, one of the three founders of spinsanity reports on Andrew Sullivans attack of leftist opponents of the \"war on terrorism\".":"steve-tiddlywiki-exploration","British Prime Minister Tony Blair's webpage spelled out the case against Osama bin Laden.":"steve-tiddlywiki-exploration","Bryan Keefer, one of the three founders of spinsanity, writes about Ann Coulter's positions on profiling, and deportation.":"steve-tiddlywiki-exploration","Bryan Keefer, one of the three founders of spinsanity, writes an article about Michael Kelly's position on American's against the war on terror being pro-terrorist.":"steve-tiddlywiki-exploration","Business":"steve-tiddlywiki-exploration","Catholic University Students held candlelight vigil for victims.":"steve-tiddlywiki-exploration","Catholic University of America":"steve-tiddlywiki-exploration","Charity/Civic":"steve-tiddlywiki-exploration","Christopher Fahey shows photos taken from his roof in time sequence as the smoke became closer and denser.":"steve-tiddlywiki-exploration","Civilian casualities of the war in Afghanistan.":"steve-tiddlywiki-exploration","Columbia Business School":"steve-tiddlywiki-exploration","Commondreams.org reports on prospects for Afghanistan's future":"steve-tiddlywiki-exploration","Compassionate Friends -Atlanta Georgia Area Chapters":"steve-tiddlywiki-exploration","Components":"steve-tiddlywiki-exploration","Condemming":"steve-tiddlywiki-exploration","Connecting with others was an important coping activity after September 11.":"steve-tiddlywiki-exploration","CourtLink Corporation":"steve-tiddlywiki-exploration","Create Cell Tiddlers":"steve-tiddlywiki-exploration","Crediting terrorists by calling a 'crime' a 'war'.":"steve-tiddlywiki-exploration","Crosstab of Objects Sharing Two Characteristics":"steve-tiddlywiki-exploration","Cynthia Malaraan captures images of the planes hitting the World Trade Center from her bedroom window.":"steve-tiddlywiki-exploration","Cynthia Malaraan displays a collection of photos to memorialize the view of the NYC skyline from her bedroom window before the attacks.":"steve-tiddlywiki-exploration","Cynthia Malaraan displays photos of the changed NYC skyline and the 9/11 memorial lights shining into the sky.  She also explains how the attacks caused the intent of her website to evolve.":"steve-tiddlywiki-exploration","Cynthia Malaraan explains that her series of paintings are inspired by her memory of the skyline from her bedroom window before the 9/11 attacks.":"steve-tiddlywiki-exploration","Cynthia Malaraan reflects on 9/11 one year later.  She displays patriotism and hope with her own painting of the United States flag.":"steve-tiddlywiki-exploration","Cynthia Malaran reflects on 9/11 and how it hurts her to view the many missing persons fliers throughout NYC.":"steve-tiddlywiki-exploration","Data and Analysis Preparation":"steve-tiddlywiki-exploration","David Pawson posted a sarcastic response to an email sent him about the significance of the number eleven.":"steve-tiddlywiki-exploration","David Pawson posted a story mocking the fear of anthrax contamination.":"steve-tiddlywiki-exploration","Debris from the towers after the attack measure over an inch off the ground; papers and even personal belongings are blasted far away from ground zero.":"steve-tiddlywiki-exploration","Dedicated":"steve-tiddlywiki-exploration","Demo 1: Producer Actions in the post-September 11 Web Sphere":"steve-tiddlywiki-exploration","Demo 2: Identifying and analyzing archived Web pages":"steve-tiddlywiki-exploration","Demo 3: Integrating TiddlyWiki with the ODU Toolkit":"steve-tiddlywiki-exploration","Demo 4: Images after September 11":"steve-tiddlywiki-exploration","Demonstrations":"steve-tiddlywiki-exploration","Department of Civil Engineering at The University of Sydney":"steve-tiddlywiki-exploration","Descriptions and photos of the missing were posted online.":"steve-tiddlywiki-exploration","Digital Methods and Monadic Exploration":"steve-tiddlywiki-exploration","Digital Methods and Monadic Thinking":"steve-tiddlywiki-exploration","Digital Text Cycles":"steve-tiddlywiki-exploration","Digital traces afford navigation through overlapping monads constructed through shared tags":"steve-tiddlywiki-exploration","DoughertyWebImages":"steve-tiddlywiki-exploration","DoughertyWebImages template":"steve-tiddlywiki-exploration","Dr. Muqtedar Khan called upon American Muslims to address extremist Islamic philosophies.":"steve-tiddlywiki-exploration","Dr. Muqtedar Khan published a column advocating for unconditional condemnation and political and social unity.":"steve-tiddlywiki-exploration","Dr. Muqtedar Khan published an article explaining relevant details of Muslim theology and issues with the US.":"steve-tiddlywiki-exploration","Dr. Muqtedar Khan published article demanding Muslims step up and not tolerate extemist activity and expand their perspectives.":"steve-tiddlywiki-exploration","Draft of '$:/core/ui/Buttons/home'":"steve-tiddlywiki-exploration","Draft of '$:/core/ui/PageTemplate/pagecontrols'":"steve-tiddlywiki-exploration","Draft of '$:/plugins/eucaly/popuptagger/macros'":"steve-tiddlywiki-exploration","Draft of '$:/plugins/tongerner/toolbar/sidebar-button'":"steve-tiddlywiki-exploration","Draft of '911 Blog Links'":"steve-tiddlywiki-exploration","Draft of 'Digital Methods and Monadic Thinking' by steve":"steve-tiddlywiki-exploration","Draft of 'Emphasized theme'":"steve-tiddlywiki-exploration","Draft of 'Navigation to Pages Sharing Two Characteristics'":"steve-tiddlywiki-exploration","Draft of 'New Tiddler 1'":"steve-tiddlywiki-exploration","Draft of 'New Tiddler 2'":"steve-tiddlywiki-exploration","Draft of 'Web images after September 11, 2001'":"steve-tiddlywiki-exploration","Draft of 'Web pages tagged Branch and Charity/Civic'":"steve-tiddlywiki-exploration","EduHound":"steve-tiddlywiki-exploration","EduHound creates a ribbon for others to download in support of the USA (patriotism)":"steve-tiddlywiki-exploration","EduHound expresses sympathy for those touched by the events of September 11":"steve-tiddlywiki-exploration","EduHound links to sites to help educators with the tragedy":"steve-tiddlywiki-exploration","EduHound posts a flag graphic on their website to symbolize patriotism":"steve-tiddlywiki-exploration","EduHound provides links to news sites about the events of September 11":"steve-tiddlywiki-exploration","EduHound provides links to sites where someone can lend aid to those affected by the tragedy.":"steve-tiddlywiki-exploration","Education Week":"steve-tiddlywiki-exploration","Educational":"steve-tiddlywiki-exploration","Electronic Privacy Information Center":"steve-tiddlywiki-exploration","Embeds the grammar of hypertext in the punctuation of writing":"steve-tiddlywiki-exploration","Emphasized theme":"steve-tiddlywiki-exploration","Engaging in Web Sphere Analysis using Monadic Thinking":"steve-tiddlywiki-exploration","Epiphany Lutheran Church":"steve-tiddlywiki-exploration","Episcopal St. Paul's Chapel, located yards from Ground Zero, became a haven for rescue workers providing food, supplies, chiropractic services, and more.":"steve-tiddlywiki-exploration","Events of September 11 presented new challenges to teachers nationwide and required creative ways to help students to cope with the tragedy.":"steve-tiddlywiki-exploration","Evergreen State College":"steve-tiddlywiki-exploration","Evergreen State College linked to a photo gallery of the Pentagon attack.":"steve-tiddlywiki-exploration","Evergreen State College linked to the Department of Defense's Casualty Update reports.":"steve-tiddlywiki-exploration","Explaining":"steve-tiddlywiki-exploration","Fahey, Christopher":"steve-tiddlywiki-exploration","Fareena Alam, a British Muslim journalist, expressed her reaction to the attacks in an interview with Newsweek.":"steve-tiddlywiki-exploration","Fareena Alam, a British Muslim journalist, suggested that the world not jump to the conclusion that Muslims were responsible for 9/11.":"steve-tiddlywiki-exploration","Filtering":"steve-tiddlywiki-exploration","Fire fighters walk through all the dust, building materials, and debris which cover everything surrounding the twin towers after the attack.":"steve-tiddlywiki-exploration","Foot_Schneider.pdf":"steve-tiddlywiki-exploration","For the Westboro Baptist Church, the tragedy of September 11 was further evidence supporting their belief that God hates America.":"steve-tiddlywiki-exploration","Four Words":"steve-tiddlywiki-exploration","From her office window, photographer Sara Schwittek was able to photograph the events of 9/11.  This image shows the explosions following the impact of the airplanes.":"steve-tiddlywiki-exploration","From her office window, photographer Sara Schwittek was able to photograph the events of 9/11.  This image shows the impact of the first plane.":"steve-tiddlywiki-exploration","From her office window, photographer Sara Schwittek was able to photograph the events of 9/11.  This image shows the smoldering remains of the World Trade Center at 7 AM the following morning.":"steve-tiddlywiki-exploration","FrontSlide":"steve-tiddlywiki-exploration","Galleries of quilts that were donated to raise money for the Families of Freedom Scholarship Fund. The quilts are categorized as Symbolic, Patriotic, or Spiritual.":"steve-tiddlywiki-exploration","Gallery of patriotic quilts that were donated to raise money for the Families of Freedom Scholarship Fund.":"steve-tiddlywiki-exploration","Gallery of spiritual quilts that were donated to raise money for the Families of Freedom Scholarship Fund.":"steve-tiddlywiki-exploration","Gallery of symbolic quilts that were donated to raise money for the Families of Freedom Scholarship Fund.":"steve-tiddlywiki-exploration","Gary Hunt's \"Outpost of Freedom\" believed that the events of September 11 should be understood in relation to instances of government intrusion such as the siege of the Branch Davidians in Waco in 1993.":"steve-tiddlywiki-exploration","Get Started with TiddlyWiki":"steve-tiddlywiki-exploration","Get started with TiddlyWiki":"steve-tiddlywiki-exploration","Government":"steve-tiddlywiki-exploration","Governor Pataki moved quickly to provide financial assistance to New Yorkers affected by 9/11.":"steve-tiddlywiki-exploration","Graphic":"steve-tiddlywiki-exploration","GroundZero was a memorial site built but Native New Yorker, Tony Tonns.":"steve-tiddlywiki-exploration","HERE IS NEW YORK asks for volunteers to help with their image archive.":"steve-tiddlywiki-exploration","HERE IS NEW YORK explains their purpose of selling photographs to benefit children affected by the tragedy.":"steve-tiddlywiki-exploration","HERE IS NEW YORK gives directions for uploading photos.":"steve-tiddlywiki-exploration","HERE IS NEW YORK is established as an exhibition to display photos from the tragedy.":"steve-tiddlywiki-exploration","Haller, John":"steve-tiddlywiki-exploration","HashTag Macro":"steve-tiddlywiki-exploration","HelloThere":"steve-tiddlywiki-exploration","Here is New York":"steve-tiddlywiki-exploration","HillesundTextCycle.pdf":"steve-tiddlywiki-exploration","Hindu Unity":"steve-tiddlywiki-exploration","Hindu Unity warned that the religion of Islam itself, not only fundamentalism, posed a threat.":"steve-tiddlywiki-exploration","Home page of the United Way America is demonstrating ways of helping and a list of major donors to the September 11th Fund.":"steve-tiddlywiki-exploration","Hoover Institution hosts articles from Hoover fellows condemning the terrorist attacks.  A quote from Abraham Sofaer from The San Fransico Chronicle article is shown.":"steve-tiddlywiki-exploration","Hoover Institution hosts articles from Hoover fellows condemning the terrorist attacks.  Quotes from Shelby Steele (The Wall Street Journal), and Thomas Sowell (The Washington Times) are shown.":"steve-tiddlywiki-exploration","Hoover Institution hosts articles from Hoover fellows condemning the terrorist attacks.  Quotes from Steve Johnson (The San Jose Mercury News), and The Baltimore Sun are shown.":"steve-tiddlywiki-exploration","Hoover Institution hosts articles from Hoover fellows condemning the terrorist attacks.  Quotes from Thomas Sowell (The Washington Times), and Marc Sandalow (The San Francisco Chronicle) are shown.":"steve-tiddlywiki-exploration","Hoover Institution hosts articles from Hoover fellows condemning the terrorist attacks. Quotes from Susan Sward, Elizabeth Fernandez, and Bill Wallace (The San Francisco Chronicle), as well as Ronald Brownstein (The Los Angeles Times) are shown.":"steve-tiddlywiki-exploration","Hoover Institution on War, Revolution and Peace":"steve-tiddlywiki-exploration","Horwitz, Andrew":"steve-tiddlywiki-exploration","Hosting":"steve-tiddlywiki-exploration","Hugh L. Carey of Battery Park City Authority reflects on the events of the past year, thanks supporters, and encourages a return to normalcy.":"steve-tiddlywiki-exploration","Hunt, Gary":"steve-tiddlywiki-exploration","Hyper":"steve-tiddlywiki-exploration","Iconic image of fallen towers posted at entrance to website.":"steve-tiddlywiki-exploration","Identify and Define Analysis Tags":"steve-tiddlywiki-exploration","Images of September 11 on the Web":"steve-tiddlywiki-exploration","ImportedRows":"steve-tiddlywiki-exploration","In response to superstition about the significance of the number eleven, David Pawson posted a widely circulated sarcastic piece.":"steve-tiddlywiki-exploration","In the days after September 11 the NY.com site hosted a list of possible missing persons from the World Trade Center. It relied on visitor participation to update information.":"steve-tiddlywiki-exploration","In the days following September 11 the NY.com site created a list of the missing at the World Trade Center to help people find each other.":"steve-tiddlywiki-exploration","In the days following the attack, the Westboro Baptist Church was among those who interpreted events in line with their beliefs.":"steve-tiddlywiki-exploration","In this new article a columnist writes the attacks of 9/11 are crimes, not grounds for war.":"steve-tiddlywiki-exploration","In this webshot the producer discusses the evidence that leads him to believe that the military was involved in bringing down Flight 93.":"steve-tiddlywiki-exploration","In this webshot, the producer discusses the probability that a bomb exploded on Flight 93.":"steve-tiddlywiki-exploration","In this webshot, the producer discusses the probability that the passengers of Flight 93 worked together to overpower the terrorists.":"steve-tiddlywiki-exploration","Individual/Volunteer":"steve-tiddlywiki-exploration","Informing":"steve-tiddlywiki-exploration","Jessamyn West was among those whose flight was grounded after September 11.":"steve-tiddlywiki-exploration","Jewish Family & Life Media Inc.":"steve-tiddlywiki-exploration","JewzNewz.com suggests in their \"Take Action\" section, that every Jewish home have a Yahreit candle burning memorializing the loss of life during the 9/11 attacks.":"steve-tiddlywiki-exploration","Joe Sobran is blaming the United State's foreign policy for the attacks and hopes for peace. Sobran is thankful Al Gore wasn't our president.":"steve-tiddlywiki-exploration","Joe Sobran responded to angry emails he received about his columns.":"steve-tiddlywiki-exploration","John Haller created WorldTradeCenterAftermath.com as a central resource for emergency , victim assistance, and donations contact information.":"steve-tiddlywiki-exploration","John Labriola gives a first-hand account of his story.":"steve-tiddlywiki-exploration","John Labriola links to the red cross for help":"steve-tiddlywiki-exploration","John Labriola provides a quote from The Art of Happiness written by the Dalai Lama.":"steve-tiddlywiki-exploration","Jon Anhold creates a website to collect eyewitness photos, provide a guestbook to upload sentiments, and links to organizations that need monetary support.":"steve-tiddlywiki-exploration","Jon Anhold hosts a cartoon showing us how the attacks have pulled the country together and made it stronger.":"steve-tiddlywiki-exploration","Jon Anhold hosts a photographic of the second plane about to collide with the World Trade Center.":"steve-tiddlywiki-exploration","Jon Anhold hosts a picture of the Anchorage Daily News front page for 9/11/2001.":"steve-tiddlywiki-exploration","Jon Anhold hosts a television screen shot of CNN's live coverage of the terrorist attacks.":"steve-tiddlywiki-exploration","Journal of Arab Students":"steve-tiddlywiki-exploration","Kendall Clark report on how Bush will use US Code Title 10 to move swiftly on the war against terrorism":"steve-tiddlywiki-exploration","Key challenges for scholars working with archived web pages":"steve-tiddlywiki-exploration","Khan, Muqtedar":"steve-tiddlywiki-exploration","King, Cory R":"steve-tiddlywiki-exploration","Kolb2009OtherSpaces":"steve-tiddlywiki-exploration","Labriola, John":"steve-tiddlywiki-exploration","Layout adjustment plugin":"steve-tiddlywiki-exploration","Learning Hypertextually":"steve-tiddlywiki-exploration","Librarian Jessamyn West's blog dealt with September 11 by linking to resources, especially those library and information-gathering themed.":"steve-tiddlywiki-exploration","Librarian Jessamyn West's blog linked to resources and other sites' perspectives on the tragedy.":"steve-tiddlywiki-exploration","Linking":"steve-tiddlywiki-exploration","Links to resources for those looking to volunteer, donate money, or need assistance.":"steve-tiddlywiki-exploration","Live":"steve-tiddlywiki-exploration","Lonely Planet":"steve-tiddlywiki-exploration","MIT Community reacts to 9/11 events by publishing links to resources to help fundraise, volunteer, or participate in discusion board.":"steve-tiddlywiki-exploration","MIT builds replica of World Trade Center wall for community to honor and memorialize victims with flowers or to take time to reflect on 9/11 tragedy.":"steve-tiddlywiki-exploration","MIT community reacts to 9/11 events by creating a linked page of resources and scheduled activities.":"steve-tiddlywiki-exploration","Malaraan, Cynthia":"steve-tiddlywiki-exploration","Many New York State security concerns arose after the attack.":"steve-tiddlywiki-exploration","Many organization offered help and support to students, parents and teachers.":"steve-tiddlywiki-exploration","Many photos of the attack, taken from various sources, were published online.":"steve-tiddlywiki-exploration","Massachusetts Institute of Technology":"steve-tiddlywiki-exploration","Masterclass":"steve-tiddlywiki-exploration","Memorial page from the Arab American Journal":"steve-tiddlywiki-exploration","Memorial site posted collection of links to similar sites.":"steve-tiddlywiki-exploration","Memorializing":"steve-tiddlywiki-exploration","Message of sympathy and response by American Airlines.":"steve-tiddlywiki-exploration","Monachos":"steve-tiddlywiki-exploration","Monachos is providing links to prayers and hymns to help people cope with the tragedy.":"steve-tiddlywiki-exploration","Monachos.net offers Orthodox responses to the attacks, including prayers and hymns.":"steve-tiddlywiki-exploration","Monadic Exploration":"steve-tiddlywiki-exploration","Monads are expressed as different ways of navigating through data sets":"steve-tiddlywiki-exploration","Mosque invited non-Muslims to attend lecture.":"steve-tiddlywiki-exploration","Multi-dimensional":"steve-tiddlywiki-exploration","NY.com":"steve-tiddlywiki-exploration","NYCstories.com":"steve-tiddlywiki-exploration","NYS Emergency Management Office":"steve-tiddlywiki-exploration","NYS Emergency Management Office posted links to relevant third-party sites for further information and assistance.":"steve-tiddlywiki-exploration","NYS Emergency Management office posted recovery assistance resources for public assistance workers.":"steve-tiddlywiki-exploration","NYS Emergency Management site posted initial statement from Govenor Pataki regarding the World Trade Center attack.":"steve-tiddlywiki-exploration","NYS Emergency Management site posted relevant phone numbers.":"steve-tiddlywiki-exploration","National Underwriter Company":"steve-tiddlywiki-exploration","Nausea Manifesto":"steve-tiddlywiki-exploration","New Tiddler":"steve-tiddlywiki-exploration","New York State Division of Military and Naval Affairs":"steve-tiddlywiki-exploration","New York State continued to issue security alerts weeks after the attacks.":"steve-tiddlywiki-exploration","New York World Trade Center Memorial":"steve-tiddlywiki-exploration","New York World Trade Center Memorial displaying patriotic imagery and links to news and the Salvation Army's Crisis website.":"steve-tiddlywiki-exploration","New York World Trade Center Memorial is providing links to other memorial websites.":"steve-tiddlywiki-exploration","News article reacting to President George W. Bush's national address after 9/11.":"steve-tiddlywiki-exploration","O'Brien, Heather Anne Davis":"steve-tiddlywiki-exploration","OCRT encourages assistance in the form of donations to the September 11th Fund by United Way.":"steve-tiddlywiki-exploration","OCRT encourages religious tolerance and condemns the actions of those responsible for the attack.":"steve-tiddlywiki-exploration","Object-oriented Historiography":"steve-tiddlywiki-exploration","On September 11th, Airwise News reported that the Federal Aviation Administration had halted operations at U.S. airports.":"steve-tiddlywiki-exploration","On September 21, Airwise News reported a $15 billion government compensation plan to bolster the airlines and offer some liability protection.":"steve-tiddlywiki-exploration","On her official homepage, Senator Hillary Rodham Clinton made useful information available to those who wished to assist others after the tragedy.":"steve-tiddlywiki-exploration","On her official website, Senator Hillary Rodham Clinton posted the text of her statements in Congress commemorating the efforts of New Yorkers who responded to the tragedy.":"steve-tiddlywiki-exploration","On the first anniversary of September 11 Andrew Horwitz reflected on his sense of gratitude for being alive, for sharing stories with others.":"steve-tiddlywiki-exploration","Online directories and memorials tracked those missing after 9/11.":"steve-tiddlywiki-exploration","Ontario Consultants on Religious Tolerance":"steve-tiddlywiki-exploration","Open Source":"steve-tiddlywiki-exploration","Outline":"steve-tiddlywiki-exploration","Pataki posted messages of support from iloveny.com on site.":"steve-tiddlywiki-exploration","Patriotic and memorial graphics were published for visitors to upload to their own sites.":"steve-tiddlywiki-exploration","Pawson, David":"steve-tiddlywiki-exploration","People's Poetry Gathering":"steve-tiddlywiki-exploration","People's Poetry Gathering hosts a collection of poetry about the 9/11 tragedy and supplies upload links for contributors.":"steve-tiddlywiki-exploration","Personal blog reflecting on events":"steve-tiddlywiki-exploration","Pet owners were sometimes able to return to their homes in closed areas downtown to rescue their animals.":"steve-tiddlywiki-exploration","Photo":"steve-tiddlywiki-exploration","Photo of St. Paul's Chapel with firefighters gathering in the debris. Note: image missing from archived site was found on current Trinity site: http://www.trinitywallstreet.org/news/photos/5":"steve-tiddlywiki-exploration","Photo of demonstration":"steve-tiddlywiki-exploration","Photo showing Trinity Church in the foreground and the World Trade Center in the background.\nNote: image missing from archived site was found on current Trinity site: http://www.trinitywallstreet.org/news/photos/5":"steve-tiddlywiki-exploration","Photo showing the collapse of the South Tower from a nearby building. Note: image missing from archived site was found on current Trinity site: http://www.trinitywallstreet.org/news/photos/5":"steve-tiddlywiki-exploration","Photographer Sara Schwittek captures images of fliers requesting blood, information, and supplies.":"steve-tiddlywiki-exploration","Photographer Sara Schwittek captures images of patriotism and remembrance.":"steve-tiddlywiki-exploration","Photographer's pictures witnessing the first plane crashing into the towers.":"steve-tiddlywiki-exploration","Photos of President Bush and smoke billowing out of the World Trade Centers are part of a collection of images Evergreen State College compiled.":"steve-tiddlywiki-exploration","Pipes, Daniel":"steve-tiddlywiki-exploration","Poll illustrates opinion of around the world in/out of favor with a trial or a counter attack.":"steve-tiddlywiki-exploration","Popup Tagger Tiddler":"steve-tiddlywiki-exploration","Practices":"steve-tiddlywiki-exploration","Present":"steve-tiddlywiki-exploration","President George W. Bush's speech makes good points about the 'enemy' shortly before declaring a war.":"steve-tiddlywiki-exploration","Press release from US Commission on Civil Rights":"steve-tiddlywiki-exploration","Principles of monadic thinking":"steve-tiddlywiki-exploration","Producer":"steve-tiddlywiki-exploration","Project Pitch":"steve-tiddlywiki-exploration","Prosthetic Monkey":"steve-tiddlywiki-exploration","Public Interest/Advocacy":"steve-tiddlywiki-exploration","Published photos honoring those who served as first responders.":"steve-tiddlywiki-exploration","Publishing":"steve-tiddlywiki-exploration","Quilt4America":"steve-tiddlywiki-exploration","Quilt4America publishes an idea to help memorialize victims by creating quilts designed by the American public. Quilts are then given to families in honor of their loved ones.":"steve-tiddlywiki-exploration","Quilts.com raises funds for victims of the tragedy.":"steve-tiddlywiki-exploration","Rayhawk.com":"steve-tiddlywiki-exploration","Reading Hypertextually":"steve-tiddlywiki-exploration","Readings":"steve-tiddlywiki-exploration","Readings template":"steve-tiddlywiki-exploration","Reflecting":"steve-tiddlywiki-exploration","Reflections on #dmi17":"steve-tiddlywiki-exploration","Religious":"steve-tiddlywiki-exploration","RenameTags":"steve-tiddlywiki-exploration","Reporting":"steve-tiddlywiki-exploration","Research Question 1":"steve-tiddlywiki-exploration","Research Question 2":"steve-tiddlywiki-exploration","Research Question 3":"steve-tiddlywiki-exploration","Research Question 4":"steve-tiddlywiki-exploration","Research Question 5":"steve-tiddlywiki-exploration","Research Question 6":"steve-tiddlywiki-exploration","Research Questions":"steve-tiddlywiki-exploration","Resources":"steve-tiddlywiki-exploration","SEE/Afghan Women's Mission":"steve-tiddlywiki-exploration","Schwittek, Sara":"steve-tiddlywiki-exploration","Senator Hillary Rodham Clinton":"steve-tiddlywiki-exploration","Senator Hillary Rodham Clinton echoed the the sentiment of unity many felt in the days after the tragedy. She voiced her support for the Bush administration's response to September 11, repeating the refrain, \"You are with [us] or you are not.\"":"steve-tiddlywiki-exploration","Senator Hillary Rodham Clinton's official webpage displayed numerous links, phone numbers, and other useful information for finding loved ones or assisting recovery after the tragedy.":"steve-tiddlywiki-exploration","September 11th Victims' Relief Fund":"steve-tiddlywiki-exploration","September11":"steve-tiddlywiki-exploration","Simultaneous declarations of war by President George W. Bush and Osama bin Laden.":"steve-tiddlywiki-exploration","Single Page Application":"steve-tiddlywiki-exploration","Sit posted feed from webcam aimed at Ground Zero.":"steve-tiddlywiki-exploration","Site Listings by Attribute":"steve-tiddlywiki-exploration","Site Listings by Attribute 1":"steve-tiddlywiki-exploration","Site chronologically listing the events that transpired on September 11, 2001.":"steve-tiddlywiki-exploration","Site featured images of missing persons with associated contact information.":"steve-tiddlywiki-exploration","Site posted links to 3rd party donation sites.":"steve-tiddlywiki-exploration","Site posted various links to 911 missing person resources.":"steve-tiddlywiki-exploration","Sites linked to patriotic music and information about the American flag.":"steve-tiddlywiki-exploration","Sites listed hotline phone numbers in New York City to help find the missing.":"steve-tiddlywiki-exploration","Sites posted photos of victims.":"steve-tiddlywiki-exploration","Sites such as Gary Hunt's \"Outpost of Freedom\" argued that September 11 was the consequence of the United States' actions throughout the world.":"steve-tiddlywiki-exploration","Situating the Case":"steve-tiddlywiki-exploration","Slide1":"steve-tiddlywiki-exploration","SlideShowMacros":"steve-tiddlywiki-exploration","Slideshows":"steve-tiddlywiki-exploration","Snark":"steve-tiddlywiki-exploration","Sobran, Joe":"steve-tiddlywiki-exploration","Soon after the attack, Senator Hillary Clinton's webpage posted messages of condolence that likened the tragedy to the surprise attack at Pearl Harbor.":"steve-tiddlywiki-exploration","Splash page of the New York World Trade Center Memorial. Visitors are encouraged to leave messages for the victims family and friends.":"steve-tiddlywiki-exploration","Splash page of the Why Project - a site devoted to art about the attacks.":"steve-tiddlywiki-exploration","St. Paul's Chapel spawns a new congregation as rescue workers seek nourishment - both physical and spiritual.":"steve-tiddlywiki-exploration","Stott, Reid":"steve-tiddlywiki-exploration","Strategic Forecasting LLC":"steve-tiddlywiki-exploration","Stray animals around the World Trade Center site were rescued by the AnimalAid program, established by United Animal Nations.":"steve-tiddlywiki-exploration","Symbols often speaks more than words. United In Memory: 11 September 2001 symbol represents many efforts directed to remember and reflect on the events that happened on 9/11/01.":"steve-tiddlywiki-exploration","Syndicated columnist, Joe Sobran, writes about how the terrorist attacks were a reaction to US foreign policy.":"steve-tiddlywiki-exploration","Table Attributes":"steve-tiddlywiki-exploration","TableTiddlers Template":"steve-tiddlywiki-exploration","Tagging":"steve-tiddlywiki-exploration","Teachers respond to tragic events trying to provide their care to children and ensure safety":"steve-tiddlywiki-exploration","Teaching Hypertextually":"steve-tiddlywiki-exploration","Techniques":"steve-tiddlywiki-exploration","Templating":"steve-tiddlywiki-exploration","Terror Hits Home":"steve-tiddlywiki-exploration","Text":"steve-tiddlywiki-exploration","Text Hyper Wiki Tiddly":"steve-tiddlywiki-exploration","Text in this webshot describes the materials and structural system of the Twin Towers.  A graphic illustrates a typical floor plan within the building.":"steve-tiddlywiki-exploration","Text in this webshot suggests one possible explantion as to why the supports of the building collapsed after the planes hit the Twin Towers.":"steve-tiddlywiki-exploration","TextStretch":"steve-tiddlywiki-exploration","The Ahlul Bayt Digital Islamic Library Project answered questions about Islam and terror, and demonstrated that the attacks of September 11 were un-Islamic.":"steve-tiddlywiki-exploration","The Ahlul Bayt Digital Islamic Library Project condemned the terrorist attacks as un-Islamic, citing the Quran to support its contention.":"steve-tiddlywiki-exploration","The Ahlul Bayt Digital Islamic Library Project displayed the sentiment of former President George H.W. Bush condemning anti-Muslim and anti-Arab prejudice.":"steve-tiddlywiki-exploration","The Ahlul Bayt Digital Islamic Library Project provided links to text and images demonstrating that terrorism is un-Islamic and showing the sympathy that Muslims throughout the world felt for America's loss.":"steve-tiddlywiki-exploration","The Ahlul Bayt Digital Islamic Library Project showed how Palestinian children grieved for America after September 11.":"steve-tiddlywiki-exploration","The Ahlul Bayt Digital Islamic Library Project showed how Palestinian children shared America's grief after the tragedy.":"steve-tiddlywiki-exploration","The Ahlul Bayt Digital Islamic Library Project showed how Palestinians grieved for America after September 11.":"steve-tiddlywiki-exploration","The Ahlul Bayt Digital Islamic Library Project showed images of Palestinians grieving for America after September 11.":"steve-tiddlywiki-exploration","The Ahlul Bayt Digital Islamic Library Project showed images of unity between Muslims and Americans.":"steve-tiddlywiki-exploration","The Ahlul Bayt Digital Islamic Library Project showed the ways Muslims around the world grieved for America after September 11.":"steve-tiddlywiki-exploration","The Ahlul Bayt Digital Islamic Library Project, a site devoted to teaching visitors about Islam, published its response to the tragedy on a separate set of pages.":"steve-tiddlywiki-exploration","The British Muslim Fareena Alam posted a Department of State chart showing that in 1997, Latin America, not the Middle East, was responsible for most global terrorism against the U.S.":"steve-tiddlywiki-exploration","The British Muslim Fareena Alam re-published many articles on her website questioning who was really responsible for the attacks.":"steve-tiddlywiki-exploration","The Catholic University of America hosted a lecture about Islam.":"steve-tiddlywiki-exploration","The Catholic University of America published the speeches made at their vigil.":"steve-tiddlywiki-exploration","The Catholic University of American sent a letter to parents detailing their response to the Anthrax threat.":"steve-tiddlywiki-exploration","The Chief Executive of American Airlines recorded messages for employees, and the airline posted the text of the messages with a phone number for those who wished to hear the message.":"steve-tiddlywiki-exploration","The Columbia Business School reports that their entire student body, staff, and faculty are safe, and lists a variety of useful information regarding the return to normalcy after the 9/11 attacks.":"steve-tiddlywiki-exploration","The Compassionate Friends chapter in Atlanta, Georgia reaches out to memorialize the victims of 9/11.":"steve-tiddlywiki-exploration","The Compassionate Friends of Atlanta, Georgia appropriate photos showing the workers at Ground Zero":"steve-tiddlywiki-exploration","The Compassionate Friends of Atlanta, Georgia share the front page of a newsletter from another organization.":"steve-tiddlywiki-exploration","The Compassionate Friends of Atlanta, Georgia, displays a flag in solidarity of the tragedy.":"steve-tiddlywiki-exploration","The Compassionate Friends of Atlanta, Georgia, displays a photo combining a crying eagle with the Twin Towers.":"steve-tiddlywiki-exploration","The Department of Justice warned that they would prosecute those who perpetrated false anthrax threats.":"steve-tiddlywiki-exploration","The Department of Justice was responsible for enforcement of the new anti-terrorism legislation passed in the end of October.":"steve-tiddlywiki-exploration","The Episcopal Church":"steve-tiddlywiki-exploration","The Episcopal Church organizes a relief effort for the rescue workers.":"steve-tiddlywiki-exploration","The Episcopal Church posted this video of the Seamen's Church Institute which provided meals, socks, aspirin, shirts, for the rescue workers at Ground Zero hours after the attacks.":"steve-tiddlywiki-exploration","The Episcopal Church responds to the attacks.":"steve-tiddlywiki-exploration","The Families of Freedom Scholarship Fund is raising funds for the children and spouses of the victims.":"steve-tiddlywiki-exploration","The Federal Bureau of Investigation released names of the 19 hijackers of the planes that crashed on 9/11, and requested information through a hotline.":"steve-tiddlywiki-exploration","The Interfaith Alliance posted observations of reactions.":"steve-tiddlywiki-exploration","The Interfaith Alliance urged people to embrace nonviolence, privately and publicly, and organize interfaith vigils.":"steve-tiddlywiki-exploration","The Journal of Arab Students advised Arab students after the September 11 attacks.":"steve-tiddlywiki-exploration","The Journal of Arab Students condemned the attacks on its front page.":"steve-tiddlywiki-exploration","The Journal of Arab Students invited students to attend a memorial for the victims of the September 11 tragedy.":"steve-tiddlywiki-exploration","The Lonely Planet, publisher of travel guides, hosted a discussion board devoted to the topic of September 11.":"steve-tiddlywiki-exploration","The NY.com site links to survivor lists at the nyc.gov site as well as other useful information for helping survivors and relief.":"steve-tiddlywiki-exploration","The New York State National Guard was mobilized in response to the attack.":"steve-tiddlywiki-exploration","The New York World Trade Center Memorial site providing a memorial message and link to message board.":"steve-tiddlywiki-exploration","The Outpost of Freedom argued that the World Trade Center was the symbol of American world governance and the Pentagon a symbol of the misuse of power.":"steve-tiddlywiki-exploration","The Outpost of Freedom argued that the first responders, firefighters and police, impeded the ability of victims to escape the collapsing World Trade Center.":"steve-tiddlywiki-exploration","The Outpost of Freedom did not believe the United States had the legal authority to retaliate against Osama bin Laden.":"steve-tiddlywiki-exploration","The September 11 Victims' Relief Fund gave an address where aid could be mailed.":"steve-tiddlywiki-exploration","The September 11 Victims' Relief Fund links to stories in the news about itself.":"steve-tiddlywiki-exploration","The September 11th Victims' Relief Fund was established \"to serve the long term needs of the victims.\"":"steve-tiddlywiki-exploration","The Topps Company known for sports cards, creates a line of Enduring Freedom Picture Cards.":"steve-tiddlywiki-exploration","The Trinity Parish, which includes the Trinity Church and St. Paul's chapel, is adjacent to Ground Zero. The church buildings and people were important in assisting the emergency workers.":"steve-tiddlywiki-exploration","The USO is asking for donations so they can support the US Armed Forces.":"steve-tiddlywiki-exploration","The USO is describing the difficulties our troops face with the war on terrorism and how the USO is responding.":"steve-tiddlywiki-exploration","The USO is providing options for people to donate to benefit the troops.":"steve-tiddlywiki-exploration","The USO is providing services to the troops, their families and communities.":"steve-tiddlywiki-exploration","The United Methodist News Service published many online stories about the ways September 11 affected the lives of Methodists, and how Methodists should respond to the tragedy.":"steve-tiddlywiki-exploration","The United States Marine Corps posted a contact number for people to call for information after the tragedy.":"steve-tiddlywiki-exploration","The United Way is offering ways to help, shown here Give to the September 11th Fund.":"steve-tiddlywiki-exploration","The United Way is offering ways to help, shown here Talk to Children and Teens.":"steve-tiddlywiki-exploration","The United Way is offering ways to help, shown here promoting tolerance.":"steve-tiddlywiki-exploration","The United Way is offering ways to help, shown here supporting your local United Way.":"steve-tiddlywiki-exploration","The United Way is offering ways to help, shown here volunteering.":"steve-tiddlywiki-exploration","The United Way's list of major donors to the September 11th Fund and the amount that company has committed to give.":"steve-tiddlywiki-exploration","The Web as an Object of Study":"steve-tiddlywiki-exploration","The Westboro Baptist Church codified its belief that God hated America because of its tolerance for homosexuality in parodies of well-known songs.":"steve-tiddlywiki-exploration","The Westboro Baptist Church posted information about its protests in the wake of September 11. The group blamed tolerance of homosexuality for causing the tragedy.":"steve-tiddlywiki-exploration","The Westboro Baptist Church provided a simple interpretation of events: September 11 happened because God hates America because of its sins.":"steve-tiddlywiki-exploration","The Westboro Baptist Church sought to interpret the tragedy using Biblical verses to support the notion that September 11 was punishment from God.":"steve-tiddlywiki-exploration","The Women's International League for Peace and Freedom asked its members to contact Congresspersons on October 10 to urge peaceful responses to the tragedy.":"steve-tiddlywiki-exploration","The Women's International League for Peace and Freedom posted contact information to combat discrimination following Septmeber 11.":"steve-tiddlywiki-exploration","The Women's International League for Peace and Freedom provided resources to urge leaders to respond peacefully to the tragedy of September 11.":"steve-tiddlywiki-exploration","The Women's International League for Peace and Freedom wrote to President Bush and Congress advocating a nonmilitary response to September 11.":"steve-tiddlywiki-exploration","The Women's International League for Peace and Justice opposed war and racism and promoted the values of freedom for all and peaceful responses to terror.":"steve-tiddlywiki-exploration","The World Trade Center Memorial site published memorial text and images from all over the world.":"steve-tiddlywiki-exploration","The group Hindu Unity accused Pakistan of supporting the attacks.":"steve-tiddlywiki-exploration","The group Hindu Unity compared the actions of Indian Hindus with Pakistani Muslims, suggesting that Hindus supported the United States, while Muslims opposed them.":"steve-tiddlywiki-exploration","The group Hindu Unity condemned Oprah Winfrey for supporting donations to Afghan children, claiming that the children were future terrorists.":"steve-tiddlywiki-exploration","The group Hindu Unity condemned the attacks and warned against the danger of Islam.":"steve-tiddlywiki-exploration","The home page of quilter Carolyn Lee Vehslage highlighting the recent benefit auction for the Families of Freedom Scholarship Fund.":"steve-tiddlywiki-exploration","The site NY.com briefly maintained a list of survivors and missing persons on its pages, but by September 15 had had to remove the list.":"steve-tiddlywiki-exploration","The whole is always smaller than its parts":"steve-tiddlywiki-exploration","There are many forms of grieving and reflecting on difficult, uncomprehending events. Thinking and using thoughts expressed by others may be helpful way of dealing with the tragedy of terrorist attacks.":"steve-tiddlywiki-exploration","There were multiple sites with images of memorial ribbons.":"steve-tiddlywiki-exploration","These photos are part of a collection of images Evergreen State College compiled.":"steve-tiddlywiki-exploration","Thinking Hypertextually":"steve-tiddlywiki-exploration","This graphic illustrates what engineers think may have caused the steel structure of the World Trade Center to collapse.":"steve-tiddlywiki-exploration","This page shares links to a variety of folklore surrounding the 9/11 terrorist attacks.":"steve-tiddlywiki-exploration","This site allows people to submit stories about their own 9/11 experiences.":"steve-tiddlywiki-exploration","This webshot displays United Airlines' first official statement after the occurrence of the attacks on 9/11.":"steve-tiddlywiki-exploration","This webshot displays United Airlines' second official statement only hours after the occurrence of the attacks on 9/11.":"steve-tiddlywiki-exploration","This webshot displays a link to an explanation of why the World Trade Center may have collapsed from the perspective of engineers.":"steve-tiddlywiki-exploration","This webshot displays a portion of the meeting minutes for Battery Park City's Residents Association.  Questions are answered about rent for tenants displaced by damage from 9/11, repairs and cleaning of apartments, and when apartments will be ready for occupancy.":"steve-tiddlywiki-exploration","This webshot displays a ten point statement created by the Electronic Privacy of Information Center that urges lawmakers to protect the civil liberties that define the American way of life.":"steve-tiddlywiki-exploration","This webshot displays information regarding the 9/11 crashes and assistance that would be provided to families of victims.":"steve-tiddlywiki-exploration","This webshot displays part of the list of law professors that support the Electronic Privacy Information Center in the protection of freedom.":"steve-tiddlywiki-exploration","This webshot displays part of the list of organizations that support the Electronic Privacy Information Center in the protection of freedom.":"steve-tiddlywiki-exploration","This webshot displays the form that people can fill out to endorse the defense of freedoms in the United States.":"steve-tiddlywiki-exploration","This webshot illustrates that the Electronic Privacy Information Center or EPIC feels that despite recent attacks, Americans should be aware and work to maintain their freedom of privacy.":"steve-tiddlywiki-exploration","This webshot includes stories from eyewitnesses of the Flight 93 crash.":"steve-tiddlywiki-exploration","This webshot introduces Cynthia Malaraan's website which uses imagery and a diary to pay tribute to the changes in NYC caused by the 9/11 attacks.":"steve-tiddlywiki-exploration","This webshot provides general information about the engineering and construction of the Twin Towers.":"steve-tiddlywiki-exploration","Three-D model of Ground Zero with St. Paul's Chapel highlighted.":"steve-tiddlywiki-exploration","Throughout the Fall of 2001, Senator Hillary Rodham Clinton's office actively made information available and assisted relief efforts throughout the various tragedies of September 11, the anthrax scare, and the crash of Flight 587 in Queens, NY.":"steve-tiddlywiki-exploration","Tiddlers":"steve-tiddlywiki-exploration","Tiddly":"steve-tiddlywiki-exploration","TiddlyWiki: A Tool for Monadic Exploration":"steve-tiddlywiki-exploration","Timeline of events on September 11th, 2001 from 10:10AM-10:48AM":"steve-tiddlywiki-exploration","Timeline of events on September 11th, 2001 from 10:53AM-12:04PM":"steve-tiddlywiki-exploration","Timeline of events on September 11th, 2001 from 12:13PM-1:50PM":"steve-tiddlywiki-exploration","Timeline of events on September 11th, 2001 from 2:00PM-8:45PM":"steve-tiddlywiki-exploration","Timeline of events on September 11th, 2001 from 8:45AM-9:22AM":"steve-tiddlywiki-exploration","Timeline of events on September 11th, 2001 from 9:22AM-10:08AM":"steve-tiddlywiki-exploration","Tonns, Tony":"steve-tiddlywiki-exploration","Tony Tonns set up Ground Zero to memorialize those who lost their lives.":"steve-tiddlywiki-exploration","Toolbar plugin":"steve-tiddlywiki-exploration","TopTopMenu":"steve-tiddlywiki-exploration","Topps Company, Inc":"steve-tiddlywiki-exploration","Toward the Tabular Text":"steve-tiddlywiki-exploration","Transcluding":"steve-tiddlywiki-exploration","U. S. Department of Justice":"steve-tiddlywiki-exploration","Union United Methodist Church":"steve-tiddlywiki-exploration","United Air Lines, Inc":"steve-tiddlywiki-exploration","United Airlines expresses very limited information regarding the 9/11 attacks.  They give their condolences to those affected by the attacks and provide hotlines for those who want more information.":"steve-tiddlywiki-exploration","United Airlines provides links to information about two flights that were involved in 9/11.":"steve-tiddlywiki-exploration","United Animal Nations":"steve-tiddlywiki-exploration","United Animal Nations provided assistance for animals and pet owners affected by the World Trade Center collapse, as well as for search and rescue dogs.":"steve-tiddlywiki-exploration","United Methodist News Service":"steve-tiddlywiki-exploration","United Service Organizations (USO)":"steve-tiddlywiki-exploration","United States Marine Corps":"steve-tiddlywiki-exploration","United Way of America":"steve-tiddlywiki-exploration","United Way's role in the recovery effort and ways to give.":"steve-tiddlywiki-exploration","Unknown,":"steve-tiddlywiki-exploration","Untitled":"steve-tiddlywiki-exploration","Untitled 1":"steve-tiddlywiki-exploration","Uptoolbar plugin":"steve-tiddlywiki-exploration","Varieties of Hypertext":"steve-tiddlywiki-exploration","Viewing Archived Pages in Context":"steve-tiddlywiki-exploration","Visible evidence speaks even more profoundly to reality if the terrorist attacks":"steve-tiddlywiki-exploration","War actions create more damage, instead should we try to capture and prosecute Bin Laden.":"steve-tiddlywiki-exploration","War will come at a cost of our freedom, but isn't the war about preserving our freedom? Paradox.":"steve-tiddlywiki-exploration","Web Campaigning: Web Sphere Analysis":"steve-tiddlywiki-exploration","Web images after September 11, 2001":"steve-tiddlywiki-exploration","Web pages tagged Add-on and Educational":"steve-tiddlywiki-exploration","Web pages tagged Add-on and Government":"steve-tiddlywiki-exploration","Web pages tagged Add-on and Public Interest/Advocacy":"steve-tiddlywiki-exploration","Web pages tagged Add-on and Publishing":"steve-tiddlywiki-exploration","Web pages tagged Appropriating and Photo":"steve-tiddlywiki-exploration","Web pages tagged Branch and Charity/Civic":"steve-tiddlywiki-exploration","Web pages tagged Branch and Educational":"steve-tiddlywiki-exploration","Web pages tagged Branch and Government":"steve-tiddlywiki-exploration","Web pages tagged Branch and Public Interest/Advocacy":"steve-tiddlywiki-exploration","Web pages tagged Business and Add-on":"steve-tiddlywiki-exploration","Web pages tagged Business and Appropriating":"steve-tiddlywiki-exploration","Web pages tagged Business and Assisting":"steve-tiddlywiki-exploration","Web pages tagged Business and Hosting":"steve-tiddlywiki-exploration","Web pages tagged Charity/Civic and Appropriating":"steve-tiddlywiki-exploration","Web pages tagged Dedicated and Business":"steve-tiddlywiki-exploration","Web pages tagged Dedicated and Educational":"steve-tiddlywiki-exploration","Web pages tagged Educational and Branch":"steve-tiddlywiki-exploration","Web pages tagged Educational and Hosting":"steve-tiddlywiki-exploration","Web pages tagged Educational and Publishing":"steve-tiddlywiki-exploration","Web pages tagged Government and Add-on":"steve-tiddlywiki-exploration","Web pages tagged Individual/Volunteer and Appropriating":"steve-tiddlywiki-exploration","Web pages tagged Individual/Volunteer and Hosting":"steve-tiddlywiki-exploration","Web pages tagged Publishing and Graphic":"steve-tiddlywiki-exploration","Web pages tagged September11 and Anti-military":"steve-tiddlywiki-exploration","Web pages tagged September11 and Snark":"steve-tiddlywiki-exploration","Web-action":"steve-tiddlywiki-exploration","Web-as-Object-of-Study.pdf":"steve-tiddlywiki-exploration","WebArchiveInterface Macros":"steve-tiddlywiki-exploration","Webshot illustrates a producer publishing text condeming terrorism using a religious viewpoint.":"steve-tiddlywiki-exploration","Webshot illustrates a producer publishing text informing how people may join volunteer efforts or contribute to disaster relief fund":"steve-tiddlywiki-exploration","Webshot illustrates a producer publishing text reflecting on the 9/11 tragedy in behalf of the Council of Bishops for The United Methodist Church.":"steve-tiddlywiki-exploration","Webshot shows quotes from various officials reporting on 'hate' crimes around the U.S. after the attacks":"steve-tiddlywiki-exploration","Website display a picture from ground view of the attack on the World Trade Center.":"steve-tiddlywiki-exploration","Website displaying photos of the aftermath of the 9/11 attacks.":"steve-tiddlywiki-exploration","Website displays photos of the second plane approaching and hitting the second tower.":"steve-tiddlywiki-exploration","West, Bob":"steve-tiddlywiki-exploration","West, Jessamyn":"steve-tiddlywiki-exploration","Westboro Baptist Church":"steve-tiddlywiki-exploration","What is TiddlyWiki?":"steve-tiddlywiki-exploration","While there was a high death toll from the attack, does it mean a war is necessary?":"steve-tiddlywiki-exploration","Why Project":"steve-tiddlywiki-exploration","Wiki":"steve-tiddlywiki-exploration","Wiki Notes":"steve-tiddlywiki-exploration","Witnessing":"steve-tiddlywiki-exploration","Women's International League for Peace and Freedom":"steve-tiddlywiki-exploration","World Trade Aftermath site listed missing persons hotlines/phone numbers.":"steve-tiddlywiki-exploration","World Trade Center Memorial":"steve-tiddlywiki-exploration","WorldTradeAftermath.com posted ways to donate and/or volunteer and support.":"steve-tiddlywiki-exploration","Writing Hypertextually":"steve-tiddlywiki-exploration","abc.net.au":"steve-tiddlywiki-exploration","abunimah.org":"steve-tiddlywiki-exploration","acidlogic.com":"steve-tiddlywiki-exploration","afireinside.8m.com":"steve-tiddlywiki-exploration","afterchaos.com":"steve-tiddlywiki-exploration","al-islam.org":"steve-tiddlywiki-exploration","alltheweb.com":"steve-tiddlywiki-exploration","analysis-field template":"steve-tiddlywiki-exploration","angel-art.net":"steve-tiddlywiki-exploration","annie.newdream.net":"steve-tiddlywiki-exploration","appropriating Add-on":"steve-tiddlywiki-exploration","appropriating Branch":"steve-tiddlywiki-exploration","appropriating Dedicated":"steve-tiddlywiki-exploration","appropriating 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Replacement for?":"\"d90cd3ce5b6094843f68a58c224fe59e\"","American Airlines":"\"3f823d1eee85ef4d110e42cf05f65899\"","American Airlines dispatches teams to help families of those affected by tragedy":"\"52b3104c05fdfce5f9350e5253cc788a\"","American Airlines established a separate page with updates related to the terrorist attacks and plane hijackings.":"\"a1e0e4277d07a850d69fd84f629ed234\"","American Airlines release a partial list of the victims involved in the 9/11 attack":"\"09c468dbc3ecaf5b7c83a0f8785cc81c\"","American: Airlines announced that all airplanes had been accounted for and safe.":"\"5c977c292b824daea52759fffd285873\"","An unknown producer created this page to explain what he suspects about Flight 93.  He provides evidence he has found that leads him to believe that the government has not provided the public with the whole story.":"\"71e8fed08a52db2b273791dfb6c7a91a\"","Andrew Horwitz believed that September 11 represented a major shift in American politics.":"\"fbf58b2286d682e28f8c51a0872fb788\"","Andrew Horwitz recorded in his blog his desire to help others.":"\"06231d501bb5b1e43991a42168b75863\"","Andrew Horwitz treated the first anniversary of September 11 as a day of reflection on the shock and confusion of the tragedy and what followed.":"\"9fc3ee486112bc4d16eb65ea53c65a34\"","Andrew Horwitz witnessed the tragedy firsthand and recorded his disbelief and shock as events unfolded on September 11.":"\"5fa2b154a9baa1ce9ebc46e83475860d\"","Andrew Horwitz' blog dedicated a separate page of entries to the disaster at the World Trade Center.":"\"012233fa3976e47a2e67c58cba3aa5e3\"","Andrew Horwitz' blog revealed an interest in learning more about the World Trade Center and how this tragedy could have occurred.":"\"3df10f93d22384f50b434a7624795658\"","Anhold, Jon":"\"adfd468fcf5d29e3b66e41ba5f537c43\"","Anti-military":"\"8e6b0c33d6cdf5b3022b60072b056551\"","Appropriating":"\"9f02a5f16cbc632863407a462f9f6333\"","Arab American Jounal posted article reporting on leaders appealing to people to not lump all Arabs/Muslims with the terrorists and their perspectives.":"\"8fc596a457f0b7c734df8fdd59d1fbcd\"","Arab American Jounal posted summary of individual rights as provided by the National Lawyer's Guild.":"\"7298ef8baf8c39710550654ee1348698\"","Arab American Journal posted Attorney General's statement regarding Arabs and Muslims":"\"905a9b3dc109ed23947db0b68f831a51\"","Arab American Journal posted prayers for peace from several different religions.":"\"2faa02755c425db410ba3473fc0cfa13\"","Arab American Journal posted response to support offered to its community.":"\"7f50282e6d51286a026b57476d3f6d93\"","Arab American Journal posts patriotic content":"\"0d651044633a62e3369cfa5ba442b5e9\"","Arlington National Cemetery":"\"654e8e54fa77c8725124b0e35af2ba81\"","Articles categorized by source on the Evergreen State College library site.":"\"2c67910cc308bc070b76da09dff8aeb8\"","Artist posted patriotic images":"\"343cc05af970257245e4caf69f06508c\"","As early as the evening of September 11th, search and rescue dogs were used to search for survivors.":"\"bf3b190e72981e4f91dfaa73ec88f1d6\"","As the war on terror begins overseas, American Muslims face tensions at home.":"\"093f9380fb65c54eb89c97068696a1eb\"","Assessment & Presentation of Set of Observed Pages":"\"47197fccfaf7467ba655dd1929cfadc7\"","Assisting":"\"812fc245e6d890d6af79b5a0dc34cfcd\"","At the end of September, the FBI released photos of the 19 hijackers of the four planes that crashed on 9/11.":"\"601d69079b614d736253600509bac085\"","BPC's Emergency Information site allows users to check names of people reported safe or missing.  They can also upload information about the status of safe or missing people.":"\"20ce23b931089bd935c8a1930524710d\"","Background":"\"81394217cfa8a40faef60d621746e025\"","Battery Park City":"\"93146b84756b661ffac82879aea90ee6\"","Battery Park City's site links helpful information to its residents about environmental concerns caused by debris from the 9/11 attacks.":"\"3d529d7f7fe8a82e1e82261c70be9609\"","Ben Fritz, one of the three founders of spinsanity, reports on a New York Post editorial board blaming the Clinton administration, and the Monica Lewinsky affair for the 9/11 terrorist attacks.":"\"b632d4078683a10854543a4e9a7fdd20\"","Ben Fritz, one of the three founders of spinsanity, reports on a column written by Robert Scheer claiming it to be invalid.":"\"aaf0086f4f3536274891f4ad78dfc180\"","Ben Fritz, one of the three founders of spinsanity, reports on an article in the Washington Post written by Jim Hoagland that uses victims as a rhetoric shield to make is position more powerful.":"\"cbe22f4a31373b929665d9c2e51c3c05\"","Ben Fritz, one of the three founders of spinsanity, writes an article about the importance of rational thinking after the terrorist attacks.":"\"dc5d85f18f22e517943205ee79f16109\"","Blogger posted various quotes in response to 9/11.":"\"ba925d07df0d24e583e7f02ee009a369\"","Bloggers such as Andrew Horwitz reported their feelings of shock and dismay on September 11.":"\"e24cdc49f8c5f696637abb9abbd15a07\"","Both WTC in NYC are hit by planes on 9/11/01":"\"0a848224522d54b1f67f3b107908f1aa\"","Branch":"\"88609334703b38f73f3cd96e2a023fac\"","Brendan Nyhan, one of the three founders of spinsanity reports on Andrew Sullivans attack of leftist opponents of the \"war on terrorism\".":"\"e418969a199b0c62a7914aa842f50bca\"","British Prime Minister Tony Blair's webpage spelled out the case against Osama bin Laden.":"\"b81fd485db7963d594551a62ed21fd68\"","Bryan Keefer, one of the three founders of spinsanity, writes about Ann Coulter's positions on profiling, and deportation.":"\"02f130ad54a918dd5847fea05498bdb3\"","Bryan Keefer, one of the three founders of spinsanity, writes an article about Michael Kelly's position on American's against the war on terror being pro-terrorist.":"\"f0b31937893b2dfd379983ca972ff237\"","Business":"\"9766351db89d08b177ad50a784088fce\"","Catholic University Students held candlelight vigil for victims.":"\"98326a67b57d59960eb0437808f8fe70\"","Catholic University of America":"\"0515f9e4893dee1c0e0331934665989c\"","Charity/Civic":"\"e20fc71f8f0e69e0a60bf18bb3e691f5\"","Christopher Fahey shows photos taken from his roof in time sequence as the smoke became closer and denser.":"\"e43cd18bd50530b4320219206cd478aa\"","Civilian casualities of the war in Afghanistan.":"\"717ce3d93ac3d5dcac7332d223f73c12\"","Columbia Business School":"\"2d74ab27a98898bf0429b3e8f0f27a9d\"","Commondreams.org reports on prospects for Afghanistan's future":"\"6aa05f37c4394087389b6183d0428fac\"","Compassionate Friends -Atlanta Georgia Area Chapters":"\"00cb9b1fe1a6df01fcc55ccce07355b4\"","Components":"\"b47dd2a33e63e9037a5c11958fd197ab\"","Condemming":"\"4940858b80e0accac57bd1df551f1dbb\"","Connecting with others was an important coping activity after September 11.":"\"522cb2ff557fecd80c8442b6e69d28bf\"","CourtLink Corporation":"\"d755b1afd38e0ee0e89e9dc1053d1bef\"","Create Cell Tiddlers":"\"d224800fdfb2202d40244d1909617ee7\"","Crediting terrorists by calling a 'crime' a 'war'.":"\"1a23dc40d9c9e9d3e49b60c698189163\"","Crosstab of Objects Sharing Two Characteristics":"\"ab5cb7b7677be1622f63b9ea18c9ef84\"","Cynthia Malaraan captures images of the planes hitting the World Trade Center from her bedroom window.":"\"f855420b077fc8b3ac15ca0d428d9d00\"","Cynthia Malaraan displays a collection of photos to memorialize the view of the NYC skyline from her bedroom window before the attacks.":"\"5dd84c368855a1355c290e7201cfe85d\"","Cynthia Malaraan displays photos of the changed NYC skyline and the 9/11 memorial lights shining into the sky.  She also explains how the attacks caused the intent of her website to evolve.":"\"bc0a2ab9e1190c5094313738c64fbdc7\"","Cynthia Malaraan explains that her series of paintings are inspired by her memory of the skyline from her bedroom window before the 9/11 attacks.":"\"c0cef2b9d830bdfd4507ecf58a8c6d77\"","Cynthia Malaraan reflects on 9/11 one year later.  She displays patriotism and hope with her own painting of the United States flag.":"\"d7c9db64dae379217d65a411f4e60de8\"","Cynthia Malaran reflects on 9/11 and how it hurts her to view the many missing persons fliers throughout NYC.":"\"71dd8174ef4944cfacfb2e6c57b97bff\"","Data and Analysis Preparation":"\"e092b3ca55ad856bb4eba9e519a39717\"","David Pawson posted a sarcastic response to an email sent him about the significance of the number eleven.":"\"7386d7378a1f8f241167def60e928532\"","David Pawson posted a story mocking the fear of anthrax contamination.":"\"2878fbdb1647a0a0bae264a56fd333e4\"","Debris from the towers after the attack measure over an inch off the ground; papers and even personal belongings are blasted far away from ground zero.":"\"9c9951f35395f4098398e47dfd34ad96\"","Dedicated":"\"c3556c5477b4c5344bce36e956642d55\"","Demo 1: Producer Actions in the post-September 11 Web Sphere":"\"c1ca0c67f2891c3619ace8ff40156fe5\"","Demo 2: Identifying and analyzing archived Web pages":"\"4e00bb8400aec40fe71a573c97e9a8b3\"","Demo 3: Integrating TiddlyWiki with the ODU Toolkit":"\"ddceb6d75d715f3ba02c975b255f0fa6\"","Demo 4: Images after September 11":"\"e44840a92e1c2f7f4026d8292ef7df98\"","Demonstrations":"\"799cd9f00aa3897a53ff22901052fb43\"","Department of Civil Engineering at The University of Sydney":"\"3b78e812c3adef2fa5b6e2fe47791047\"","Descriptions and photos of the missing were posted online.":"\"0f61a37428cd49da37367edad4e6e667\"","Digital Methods and Monadic Exploration":"\"9d4906235a3aee1ecfdbd5f9d0ae8a57\"","Digital Methods and Monadic Thinking":"\"ea000ed5c90c4f104a226c4dfc8e0463\"","Digital Text Cycles":"\"dfd1b25467f71a543576bc4f63cefb03\"","Digital traces afford navigation through overlapping monads constructed through shared tags":"\"763d40f3b11998d29e23ced3757dc303\"","DoughertyWebImages":"\"441b2f20bfeac575bf7324654f2f54cf\"","DoughertyWebImages template":"\"2ba4854458eed2cd0175576eb2b57d14\"","Dr. Muqtedar Khan called upon American Muslims to address extremist Islamic philosophies.":"\"5adb78f918967e76cf497543c02dc15e\"","Dr. Muqtedar Khan published a column advocating for unconditional condemnation and political and social unity.":"\"28b13c5c2ebfb66a757732c3819bfecb\"","Dr. Muqtedar Khan published an article explaining relevant details of Muslim theology and issues with the US.":"\"5ad07809634764fa845c6e071e1adc5f\"","Dr. Muqtedar Khan published article demanding Muslims step up and not tolerate extemist activity and expand their perspectives.":"\"f2b1ae3fabad8bc994117c1ec69961f0\"","Draft of '$:/core/ui/Buttons/home'":"\"04556f36b2d419215851e516463953ab\"","Draft of '$:/core/ui/PageTemplate/pagecontrols'":"\"964ecb6d7dcfe4ac5be924f2aef1aef3\"","Draft of '$:/plugins/eucaly/popuptagger/macros'":"\"697888feef4154d05038e4119cb94e85\"","Draft of '$:/plugins/tongerner/toolbar/sidebar-button'":"\"1db3c51ce6ac5e6142acc415b660ab1d\"","Draft of '911 Blog Links'":"\"7b01ca6166d1da0d3648671b7bebb17d\"","Draft of 'Digital Methods and Monadic Thinking' by steve":"\"a76c097f7be803c60e72c8662a7b70f3\"","Draft of 'Emphasized theme'":"\"617503a4a038b01e725b1792653c1743\"","Draft of 'Navigation to Pages Sharing Two Characteristics'":"\"4cfdd865a0ceaeae6b6b7c69693aef61\"","Draft of 'New Tiddler 1'":"\"25b65c3fe9e247eb88a8b206e7249af0\"","Draft of 'New Tiddler 2'":"\"36293c6d8ff0b00727305a24a6fd2853\"","Draft of 'Web images after September 11, 2001'":"\"1f14dfbd8e96fc160b76d08601606371\"","Draft of 'Web pages tagged Branch and Charity/Civic'":"\"8bec10e6ab27177d5e785a3caca20113\"","EduHound":"\"10fb58ab547422a5441678c75712d452\"","EduHound creates a ribbon for others to download in support of the USA (patriotism)":"\"e32fc5f3c5d4b91e2bb2281b4aebe7af\"","EduHound expresses sympathy for those touched by the events of September 11":"\"ee4fb2cfdd0a14c0b2a5e7a9625bf165\"","EduHound links to sites to help educators with the tragedy":"\"01b676c333b81faeef0dd04794e634f6\"","EduHound posts a flag graphic on their website to symbolize patriotism":"\"61ba9da9c288a506e00ad535c6801de8\"","EduHound provides links to news sites about the events of September 11":"\"c38c35e2479c75d2093b1ea979a27583\"","EduHound provides links to sites where someone can lend aid to those affected by the tragedy.":"\"c17a53c45c4e4b156ca755d176756eae\"","Education Week":"\"e3610dc3cea93cb5f8c8a1548a592017\"","Educational":"\"5dc27fa4d67ff1100c6170e12ebb5f86\"","Electronic Privacy Information Center":"\"0969ab75460684a300ab82fa6b4ea122\"","Embeds the grammar of hypertext in the punctuation of writing":"\"18599a109a988826e2713904472a0937\"","Emphasized theme":"\"004f56e155ab8ea9140478f522912455\"","Engaging in Web Sphere Analysis using Monadic Thinking":"\"17634a55863cfcf4ddb2d7a8d09fdf62\"","Epiphany Lutheran Church":"\"a39add30c5bf8e915156ebbc762d3b10\"","Episcopal St. Paul's Chapel, located yards from Ground Zero, became a haven for rescue workers providing food, supplies, chiropractic services, and more.":"\"a59286ed1a293bfdeab26c3f34f58e7d\"","Events of September 11 presented new challenges to teachers nationwide and required creative ways to help students to cope with the tragedy.":"\"6fcbe7a7fe1bc16794c28c7b09dedb7d\"","Evergreen State College":"\"47f9d5611365add465e186c199b5310d\"","Evergreen State College linked to a photo gallery of the Pentagon attack.":"\"1c2a753ef8b35d3b47d73164e8e36f8f\"","Evergreen State College linked to the Department of Defense's Casualty Update reports.":"\"36a98af340095417224dd7d462718447\"","Explaining":"\"e1f333a2e671579e2061cf835a02cc8f\"","Fahey, Christopher":"\"7018b33bdaa8a7e9d56c22ae35435016\"","Fareena Alam, a British Muslim journalist, expressed her reaction to the attacks in an interview with Newsweek.":"\"6fc0dc5a2800fbcc84671e44ee9f7c5c\"","Fareena Alam, a British Muslim journalist, suggested that the world not jump to the conclusion that Muslims were responsible for 9/11.":"\"b9a074fe7236950ad029edd4c094f9ca\"","Filtering":"\"13184b65fead02ddc0cec147aa180332\"","Fire fighters walk through all the dust, building materials, and debris which cover everything surrounding the twin towers after the attack.":"\"495f79bd6b55a1a62b6d6cb902e85c5d\"","Foot_Schneider.pdf":"\"25d3fc1936588ea623cfa26cc0c9a5d7\"","For the Westboro Baptist Church, the tragedy of September 11 was further evidence supporting their belief that God hates America.":"\"393bad84b9906ce2b15189ed743c89f7\"","Four Words":"\"fedd6b31d4d1946817664f8a7c7383e0\"","From her office window, photographer Sara Schwittek was able to photograph the events of 9/11.  This image shows the explosions following the impact of the airplanes.":"\"b4e5551b481e862e859c6d830c8f8119\"","From her office window, photographer Sara Schwittek was able to photograph the events of 9/11.  This image shows the impact of the first plane.":"\"bb607f31b6efe1785f14c0deac5d2644\"","From her office window, photographer Sara Schwittek was able to photograph the events of 9/11.  This image shows the smoldering remains of the World Trade Center at 7 AM the following morning.":"\"ec9b3a793ceb050149e1355afdbf2251\"","FrontSlide":"\"7c99ad51f632e84b2762619b17c3f83b\"","Galleries of quilts that were donated to raise money for the Families of Freedom Scholarship Fund. The quilts are categorized as Symbolic, Patriotic, or Spiritual.":"\"5a120489e434b7b09b61fb99098e0da3\"","Gallery of patriotic quilts that were donated to raise money for the Families of Freedom Scholarship Fund.":"\"fd97700e43fb9bbf7d4a1bd669a8a5d5\"","Gallery of spiritual quilts that were donated to raise money for the Families of Freedom Scholarship Fund.":"\"85ccdd83876096c518c3aedb82c46a36\"","Gallery of symbolic quilts that were donated to raise money for the Families of Freedom Scholarship Fund.":"\"3dd9d749bb073e4687fda85e493bfc10\"","Gary Hunt's \"Outpost of Freedom\" believed that the events of September 11 should be understood in relation to instances of government intrusion such as the siege of the Branch Davidians in Waco in 1993.":"\"b7605d87ef55f3e36ed37237bec6626d\"","Get Started with TiddlyWiki":"\"ea499b90e4ea1bf35df7927b1f92c269\"","Get started with TiddlyWiki":"\"5b87a246bab93619f4229d3a1de7333a\"","Government":"\"e3f9175025885953046b3d007a2a9d6e\"","Governor Pataki moved quickly to provide financial assistance to New Yorkers affected by 9/11.":"\"d40428b57c8105d5314f42e0ed76b71d\"","Graphic":"\"305d0e40cc7c8228374c4affbed0ad25\"","GroundZero was a memorial site built but Native New Yorker, Tony Tonns.":"\"546aaddf0e4217074f92fc1f0d0f2eee\"","HERE IS NEW YORK asks for volunteers to help with their image archive.":"\"05852569536bea12331aa24492efd6bc\"","HERE IS NEW YORK explains their purpose of selling photographs to benefit children affected by the tragedy.":"\"cbb3a1b11d3fa2e9bb886c795f45951f\"","HERE IS NEW YORK gives directions for uploading photos.":"\"a767f5f0464fd27f62808d974ff6319b\"","HERE IS NEW YORK is established as an exhibition to display photos from the tragedy.":"\"23abf80db9084a9510b153569a3c4081\"","Haller, John":"\"06af3340847c18321d94c223c27add2b\"","HashTag Macro":"\"2379b333467166c0708d7ca51b560dd9\"","HelloThere":"\"2caf89a3124100b9249c0bb282e3b584\"","Here is New York":"\"7de573ef5c60aac0dfd431742b5336d0\"","HillesundTextCycle.pdf":"\"a519c41c5b8d4ab4669e73219ce64055\"","Hindu Unity":"\"17e4ce321bdf22acdd86f7bb130c6c9d\"","Hindu Unity warned that the religion of Islam itself, not only fundamentalism, posed a threat.":"\"a33076ca9bbf238cba1be011b4a576d3\"","Home page of the United Way America is demonstrating ways of helping and a list of major donors to the September 11th Fund.":"\"8d3750f87b5887fde5cba40a9f2e042b\"","Hoover Institution hosts articles from Hoover fellows condemning the terrorist attacks.  A quote from Abraham Sofaer from The San Fransico Chronicle article is shown.":"\"71c82feeb4cbba6d9fe810240829eeef\"","Hoover Institution hosts articles from Hoover fellows condemning the terrorist attacks.  Quotes from Shelby Steele (The Wall Street Journal), and Thomas Sowell (The Washington Times) are shown.":"\"e724c59e3fb59750ceb425628ee862f6\"","Hoover Institution hosts articles from Hoover fellows condemning the terrorist attacks.  Quotes from Steve Johnson (The San Jose Mercury News), and The Baltimore Sun are shown.":"\"03a2c1de248b90a12bd11d01bb8020c4\"","Hoover Institution hosts articles from Hoover fellows condemning the terrorist attacks.  Quotes from Thomas Sowell (The Washington Times), and Marc Sandalow (The San Francisco Chronicle) are shown.":"\"9eb0c5c5e9128552a96cf7bce4465fe6\"","Hoover Institution hosts articles from Hoover fellows condemning the terrorist attacks. Quotes from Susan Sward, Elizabeth Fernandez, and Bill Wallace (The San Francisco Chronicle), as well as Ronald Brownstein (The Los Angeles Times) are shown.":"\"cb0c9515a2c73f8a6a7c4d9408562138\"","Hoover Institution on War, Revolution and Peace":"\"4c1da04592e6c93fd2a59f83cfd43053\"","Horwitz, Andrew":"\"486c2e29d52173b467ebf5a1e4b1bd92\"","Hosting":"\"79cc3fe96f7f53d5003c404d3df18d6b\"","Hugh L. Carey of Battery Park City Authority reflects on the events of the past year, thanks supporters, and encourages a return to normalcy.":"\"0e184e6a645e88d4bc4101767029d452\"","Hunt, Gary":"\"2f91f469f8a2d46ca46151369bf7eff6\"","Hyper":"\"b3df7718667e2e4731d34be274fbe4e7\"","Iconic image of fallen towers posted at entrance to website.":"\"3e2cd31d3dd8c4c90e72a07088cc1436\"","Identify and Define Analysis Tags":"\"9e6dbf1104ddf33ac955f1a706811c2c\"","Images of September 11 on the Web":"\"be693f36dd68036c4c5874baac39ec3d\"","ImportedRows":"\"673dd0df72eddc77cbf1bd448fe0763a\"","In response to superstition about the significance of the number eleven, David Pawson posted a widely circulated sarcastic piece.":"\"1e4c7fc70e958d82557f25f8f7ff7cd0\"","In the days after September 11 the NY.com site hosted a list of possible missing persons from the World Trade Center. It relied on visitor participation to update information.":"\"4bd01e088c909e2526f21d0d7e11c142\"","In the days following September 11 the NY.com site created a list of the missing at the World Trade Center to help people find each other.":"\"22ce23244d356f4dcaa16945b544453c\"","In the days following the attack, the Westboro Baptist Church was among those who interpreted events in line with their beliefs.":"\"191b7250c7b88b75c1ee88f9c3a8b8b5\"","In this new article a columnist writes the attacks of 9/11 are crimes, not grounds for war.":"\"55241cc0d7729e9e81d7916c3009f2dd\"","In this webshot the producer discusses the evidence that leads him to believe that the military was involved in bringing down Flight 93.":"\"d820b8c1e1e0e5633b594bca1b3a095f\"","In this webshot, the producer discusses the probability that a bomb exploded on Flight 93.":"\"d80bc12a246e5d60726395c8d6351e53\"","In this webshot, the producer discusses the probability that the passengers of Flight 93 worked together to overpower the terrorists.":"\"8a56505fa55f04e63417a11223ffa27d\"","Individual/Volunteer":"\"39bdf5a5f2af11c6380d9ee49b49c2f5\"","Informing":"\"4555771006ad045553163f5309dbc0c2\"","Jessamyn West was among those whose flight was grounded after September 11.":"\"1edbac1dd57b67101294eace275b85c1\"","Jewish Family & Life Media Inc.":"\"ed648e4c2a3ec1054b0a823439625587\"","JewzNewz.com suggests in their \"Take Action\" section, that every Jewish home have a Yahreit candle burning memorializing the loss of life during the 9/11 attacks.":"\"153139af76054efd78fd2bf02d17f759\"","Joe Sobran is blaming the United State's foreign policy for the attacks and hopes for peace. Sobran is thankful Al Gore wasn't our president.":"\"4b074f0ca2387bceeca237bc070cea24\"","Joe Sobran responded to angry emails he received about his columns.":"\"a114ff01cf78cc6f608ea87c75d18adf\"","John Haller created WorldTradeCenterAftermath.com as a central resource for emergency , victim assistance, and donations contact information.":"\"6c3f0a8b478fd5a949622be754203003\"","John Labriola gives a first-hand account of his story.":"\"6840bcd16cb5c9538dbe1007a94e1713\"","John Labriola links to the red cross for help":"\"614cd328adfd0de238dcd57dc9ed885a\"","John Labriola provides a quote from The Art of Happiness written by the Dalai Lama.":"\"7ca33ccaf6631c9bd0f27e07443927f7\"","Jon Anhold creates a website to collect eyewitness photos, provide a guestbook to upload sentiments, and links to organizations that need monetary support.":"\"6e204f56a13e79890495c1c24631b334\"","Jon Anhold hosts a cartoon showing us how the attacks have pulled the country together and made it stronger.":"\"a9e3e797c6c404902704f43e270ed680\"","Jon Anhold hosts a photographic of the second plane about to collide with the World Trade Center.":"\"98381516d9b78fb9c13681059c697ee4\"","Jon Anhold hosts a picture of the Anchorage Daily News front page for 9/11/2001.":"\"df0aaf0c08aecb560b8af7742120f171\"","Jon Anhold hosts a television screen shot of CNN's live coverage of the terrorist attacks.":"\"a787e078c16fad1aa557410b26a426f2\"","Journal of Arab Students":"\"11c8c17cc98a88f48ae8a25fc5ebcb10\"","Kendall Clark report on how Bush will use US Code Title 10 to move swiftly on the war against terrorism":"\"2d844f5f9c0469eef793defc2820408c\"","Key challenges for scholars working with archived web pages":"\"4a1b5c825ef691f464cc46827923ec05\"","Khan, Muqtedar":"\"703b36d977d222fcf8974083117dff58\"","King, Cory R":"\"c92bf0b7379b1d1121bf6747570ee812\"","Kolb2009OtherSpaces":"\"2fa58e1b93745243a7d333b1d4b15b9f\"","Labriola, John":"\"11bca8a03c1a4f2dd853e6d774a79668\"","Layout adjustment plugin":"\"8ff5e408ddff72ed3503196928311a78\"","Learning Hypertextually":"\"f048bd5a77e2340edf93da9d2dab4f77\"","Librarian Jessamyn West's blog dealt with September 11 by linking to resources, especially those library and information-gathering themed.":"\"17d1ef9ca3e4d762cef369c43a2fcea0\"","Librarian Jessamyn West's blog linked to resources and other sites' perspectives on the tragedy.":"\"ecf523e5411cb319f1928e3501ddb41d\"","Linking":"\"1e1833d2c60a914f43ef9f035aca898a\"","Links to resources for those looking to volunteer, donate money, or need assistance.":"\"aec4f1a1ae9ecc6fb89aa0be0f89858f\"","Live":"\"5d042e58d635ae10e2338aaec8905516\"","Lonely Planet":"\"02583b9d454e57efaa9df4013abd339c\"","MIT Community reacts to 9/11 events by publishing links to resources to help fundraise, volunteer, or participate in discusion board.":"\"b04d8863defd0d4a886d0e48cec21732\"","MIT builds replica of World Trade Center wall for community to honor and memorialize victims with flowers or to take time to reflect on 9/11 tragedy.":"\"c772e6ed986acf487b11c406bcf6712e\"","MIT community reacts to 9/11 events by creating a linked page of resources and scheduled activities.":"\"7a299715c5d3ad6aff91ab64a7e9fd4a\"","Malaraan, Cynthia":"\"ccaf7cd137504f76b2d4a4fc4d62d4d7\"","Many New York State security concerns arose after the attack.":"\"f7193045c17ac6070cfe214e04da7034\"","Many organization offered help and support to students, parents and teachers.":"\"68404f12ba8a13c83105a9b8ad663d60\"","Many photos of the attack, taken from various sources, were published online.":"\"aeb24653ed8a18190677149c1ceb606b\"","Massachusetts Institute of Technology":"\"b63cfbb01821fb8740c3fb702f62a665\"","Masterclass":"\"b69d60ae4003b2d3c76b21216ffb9c88\"","Memorial page from the Arab American Journal":"\"e938ba9c44a51b6db4d6736117e5223b\"","Memorial site posted collection of links to similar sites.":"\"0e9c348162c15d3dd62cf58bdc31b8cb\"","Memorializing":"\"cd3aefcc89226fdc15ba5794cbd748c0\"","Message of sympathy and response by American Airlines.":"\"9866864aa9167ddcab97c2c43f50ad2f\"","Monachos":"\"c4154b2df790b66d4f701e28a09698a0\"","Monachos is providing links to prayers and hymns to help people cope with the tragedy.":"\"a35212ccb09cd2dcce534f53ccbc1a39\"","Monachos.net offers Orthodox responses to the attacks, including prayers and hymns.":"\"bebeb149650e3ba61aa9b1d455115665\"","Monadic Exploration":"\"348ffddcbda3fb51d968e539458ea0f8\"","Monads are expressed as different ways of navigating through data sets":"\"8812c04ec9c1fc50befb783f5bf9f2ff\"","Mosque invited non-Muslims to attend lecture.":"\"ffe1324087196e262c3759a3f1364031\"","Multi-dimensional":"\"61ce52cb2b7179850b318795f8849738\"","NY.com":"\"3bd21c0a9644117cbdc13f277db9677e\"","NYCstories.com":"\"409539ec291465aa6f3a7b963931c854\"","NYS Emergency Management Office":"\"d5560ed6eb1c114ea20137f3928f5a1d\"","NYS Emergency Management Office posted links to relevant third-party sites for further information and assistance.":"\"9037c6974cdb3d8db85629de1aa94477\"","NYS Emergency Management office posted recovery assistance resources for public assistance workers.":"\"0762d8f029ba64f202dc84ee613d7669\"","NYS Emergency Management site posted initial statement from Govenor Pataki regarding the World Trade Center attack.":"\"1224c2ac33c7d9be2d1b62f410f5e0a0\"","NYS Emergency Management site posted relevant phone numbers.":"\"6389bdf870de5feb425d4560ee956c70\"","National Underwriter Company":"\"ad89d3c7cd5b96f23dc023652d223a4e\"","Nausea Manifesto":"\"dc4967e596a065ced6000a9518f39652\"","New Tiddler":"\"c647c6f25540833ffcb5909477fbe88e\"","New York State Division of Military and Naval Affairs":"\"e12acfddf9cfb18592bb4c7b7a01e50d\"","New York State continued to issue security alerts weeks after the attacks.":"\"ae4bea2353e8246c7aaf480622e80fc8\"","New York World Trade Center Memorial":"\"7f6096cc3ba9bda9e09608527549f649\"","New York World Trade Center Memorial displaying patriotic imagery and links to news and the Salvation Army's Crisis website.":"\"53e32d123f45fdf93da7ee39c70df246\"","New York World Trade Center Memorial is providing links to other memorial websites.":"\"f34e391f3fd764090df735d5638b092d\"","News article reacting to President George W. Bush's national address after 9/11.":"\"c05ab52cdff2875be3b9e5b612762b4f\"","O'Brien, Heather Anne Davis":"\"45184a9aa7442269a8ea069dc0ebfa4c\"","OCRT encourages assistance in the form of donations to the September 11th Fund by United Way.":"\"6bc4f52ea2224617b3fa8b965daf703b\"","OCRT encourages religious tolerance and condemns the actions of those responsible for the attack.":"\"5eb3939e804421afd5ce9c707de440b1\"","Object-oriented Historiography":"\"37347e598421eabce24ec13cb3a5e0dc\"","On September 11th, Airwise News reported that the Federal Aviation Administration had halted operations at U.S. airports.":"\"1ddabec559e13c813b830378a937989d\"","On September 21, Airwise News reported a $15 billion government compensation plan to bolster the airlines and offer some liability protection.":"\"5d22b536b4f37ec7c1b22f0904a30122\"","On her official homepage, Senator Hillary Rodham Clinton made useful information available to those who wished to assist others after the tragedy.":"\"c261f025902b2dd9f8b2adfb81aab251\"","On her official website, Senator Hillary Rodham Clinton posted the text of her statements in Congress commemorating the efforts of New Yorkers who responded to the tragedy.":"\"76f80c9d2ec9362e33c3753702889773\"","On the first anniversary of September 11 Andrew Horwitz reflected on his sense of gratitude for being alive, for sharing stories with others.":"\"1622a603663de960de6ee6bef737cee7\"","Online directories and memorials tracked those missing after 9/11.":"\"df388da14acac5bae9c8305567fa2360\"","Ontario Consultants on Religious Tolerance":"\"8066b6974a3b3dae314f21dfd07c81fe\"","Open Source":"\"ec7ec6deaf1c830570262bfe786ef33a\"","Outline":"\"8d7eb6ed9d56341f15f2074ee00863cc\"","Pataki posted messages of support from iloveny.com on site.":"\"b6ad6cb9e2498554e357829388525f92\"","Patriotic and memorial graphics were published for visitors to upload to their own sites.":"\"6db99cb67ec213fd3267032c650259a0\"","Pawson, David":"\"5aeafd22b2e9ab83cb00a0fc4812c7d6\"","People's Poetry Gathering":"\"89c0267446925eca774786486b8a0693\"","People's Poetry Gathering hosts a collection of poetry about the 9/11 tragedy and supplies upload links for contributors.":"\"41706f1368f359b331b6638bb8e0c726\"","Personal blog reflecting on events":"\"54907af809d6634f4f509271947358ce\"","Pet owners were sometimes able to return to their homes in closed areas downtown to rescue their animals.":"\"cfdab21bf86a327f1a2255a5890330b1\"","Photo":"\"a02d211dc4494ebeec6b0459da61b9ec\"","Photo of St. Paul's Chapel with firefighters gathering in the debris. Note: image missing from archived site was found on current Trinity site: http://www.trinitywallstreet.org/news/photos/5":"\"b1d671f892216db1e738e8cb1272304c\"","Photo of demonstration":"\"566e4f2fc0b08cabc9ac04483bd9d51f\"","Photo showing Trinity Church in the foreground and the World Trade Center in the background.\nNote: image missing from archived site was found on current Trinity site: http://www.trinitywallstreet.org/news/photos/5":"\"4879ccd1284ac84b49da7003b6f26542\"","Photo showing the collapse of the South Tower from a nearby building. Note: image missing from archived site was found on current Trinity site: http://www.trinitywallstreet.org/news/photos/5":"\"f6abf46f61167295f46e4b3946f909bf\"","Photographer Sara Schwittek captures images of fliers requesting blood, information, and supplies.":"\"39fbabe48403101ccf8065f4f1df2913\"","Photographer Sara Schwittek captures images of patriotism and remembrance.":"\"993b17f30a35f9eff0a81f1ac0cbb1ec\"","Photographer's pictures witnessing the first plane crashing into the towers.":"\"25507b885bd87fbd9e6dd19c931db12c\"","Photos of President Bush and smoke billowing out of the World Trade Centers are part of a collection of images Evergreen State College compiled.":"\"1268ee43476a0a750d9ce8ca65523b0e\"","Pipes, Daniel":"\"4d8dbc5ddc685db8c3d2772975b8d4f7\"","Poll illustrates opinion of around the world in/out of favor with a trial or a counter attack.":"\"5851ec84c7380e4684f9193496c9ffbc\"","Popup Tagger Tiddler":"\"b60fbc4098882ade48a7db6825f54a9a\"","Practices":"\"dd5ba851a89e5cd26b4c5b30dcda8ab9\"","Present":"\"0682682a35bea442c9bc33c833e448bc\"","President George W. Bush's speech makes good points about the 'enemy' shortly before declaring a war.":"\"b17952cc332c8ad2ef88e8f2082c4eba\"","Press release from US Commission on Civil Rights":"\"5b47989b29a6e380bffc737e1d6d8d17\"","Principles of monadic thinking":"\"d8a2186f6876cbd978d3ae1a3eaa6bee\"","Producer":"\"26f03fd745b9042658125de4b2f7bcbd\"","Project Pitch":"\"725f82df5ed1a54aa9e99a9c20eae0ad\"","Prosthetic Monkey":"\"1ad59151a4082cb43b90bed9b2dd07ad\"","Public Interest/Advocacy":"\"a66cb736281d61144157098ffa8d034d\"","Published photos honoring those who served as first responders.":"\"e8b6f3728ca622cb9067960efec1915c\"","Publishing":"\"e6f993a79f93de707197c581f400ecb6\"","Quilt4America":"\"8bab39ceaa922a107b760daebd643230\"","Quilt4America publishes an idea to help memorialize victims by creating quilts designed by the American public. Quilts are then given to families in honor of their loved ones.":"\"76a3a9483a6928db94b1c2585cc9ab8a\"","Quilts.com raises funds for victims of the tragedy.":"\"2f43025348bc1a8e580ad075e4b4702f\"","Rayhawk.com":"\"1e3a2ac6e8848b8c42117be47dff2f5f\"","Reading Hypertextually":"\"fe37719887be4bc3586eef31a7b3707b\"","Readings":"\"b5de4f552cb6ee300d0d943daf18d382\"","Readings template":"\"6860b2874818c878f642cd7cc58319ce\"","Reflecting":"\"c0d802e85574e3a85f4147581c3c129e\"","Reflections on #dmi17":"\"1fe95053a2f7f505f0691c9099f918ba\"","Religious":"\"45c1275c3fc5ba624394b013558abf56\"","RenameTags":"\"6bb61e62ce7e37cb3b26e9ab4565a64e\"","Reporting":"\"7caa5d4476a0f26cb6c92da5d062cab1\"","Research Question 1":"\"513eb8bf1785a4481578fd8402b4968f\"","Research Question 2":"\"30980455139f16aa2b53efc5bb28e08a\"","Research Question 3":"\"831648ce61565ddea0fedbac27f6a0e8\"","Research Question 4":"\"3fae476b8c124dd5d6879b9da326429e\"","Research Question 5":"\"0b691db8fdfdf2594dc9ef146e53cecd\"","Research Question 6":"\"0c68e5a2ca921678385ebf88c1aa7990\"","Research Questions":"\"ad1298f6998fc5184280b20a10e65d2c\"","Resources":"\"4986e1125a0ecd39608d598b90637266\"","SEE/Afghan Women's Mission":"\"92cb7e05768465f0af068ad663cf2385\"","Schwittek, Sara":"\"26b541c1f9436f482837daa65665698c\"","Senator Hillary Rodham Clinton":"\"958ef43e5753bad53da46a83f8493b4a\"","Senator Hillary Rodham Clinton echoed the the sentiment of unity many felt in the days after the tragedy. She voiced her support for the Bush administration's response to September 11, repeating the refrain, \"You are with [us] or you are not.\"":"\"fc7b577b81896deeb8e745bb24ca3ed7\"","Senator Hillary Rodham Clinton's official webpage displayed numerous links, phone numbers, and other useful information for finding loved ones or assisting recovery after the tragedy.":"\"ddb89dc345666947b019c505f939ac9f\"","September 11th Victims' Relief Fund":"\"84c8a54d68549faafee6573131999782\"","September11":"\"c12ef1e26e13f4c0e59636035fef9411\"","Simultaneous declarations of war by President George W. Bush and Osama bin Laden.":"\"d917d0992e53af13f5a96630b21bd5b8\"","Single Page Application":"\"32a63bebe9bf044a1acaf082d915d6ac\"","Sit posted feed from webcam aimed at Ground Zero.":"\"efdf44b81b2e140e1e00ed4c1005f2fa\"","Site Listings by Attribute":"\"71cbfadffb4ae3aac4bc3b0302083d74\"","Site Listings by Attribute 1":"\"d9c1bc95813dca575866dcac4bc3f26a\"","Site chronologically listing the events that transpired on September 11, 2001.":"\"2d351ecb0ebb3df278fafb860ed17a5a\"","Site featured images of missing persons with associated contact information.":"\"8bf25a2f2fc96424e18a0259516a5d17\"","Site posted links to 3rd party donation sites.":"\"87ee4b362ac7ddcd1d1603337e78ccf9\"","Site posted various links to 911 missing person resources.":"\"72d51470f34b48180503966da0717847\"","Sites linked to patriotic music and information about the American flag.":"\"2e372555eebf654d4867661822e9f79a\"","Sites listed hotline phone numbers in New York City to help find the missing.":"\"aa4af0920f9f923d985f95be12e62c5c\"","Sites posted photos of victims.":"\"1b481b3262d60223e2574de0ab354059\"","Sites such as Gary Hunt's \"Outpost of Freedom\" argued that September 11 was the consequence of the United States' actions throughout the world.":"\"6c00e1745f5f570ef137ffdf866da3af\"","Situating the Case":"\"dc9a3cc47b4dde8f99c18bf3ab1f940f\"","Slide1":"\"1b399c7f6131179d3a37cbc12bae9b19\"","SlideShowMacros":"\"fbff71941d46bb851b3111728843b87c\"","Slideshows":"\"5ed28ee9871d530a9d1764a521845e09\"","Snark":"\"a505ef7c955d59202272a6e92a91e6dc\"","Sobran, Joe":"\"38bea72efa65db9c542be79e6202cd08\"","Soon after the attack, Senator Hillary Clinton's webpage posted messages of condolence that likened the tragedy to the surprise attack at Pearl Harbor.":"\"1c49e2673390fdedba6733a2140b6dcc\"","Splash page of the New York World Trade Center Memorial. Visitors are encouraged to leave messages for the victims family and friends.":"\"e45077af28819ada76c5a1b284cdbf66\"","Splash page of the Why Project - a site devoted to art about the attacks.":"\"382e959b6cc319c251fe25b850bbc8a3\"","St. Paul's Chapel spawns a new congregation as rescue workers seek nourishment - both physical and spiritual.":"\"53d1b7723542bcbfd7e76d578618ea06\"","Stott, Reid":"\"9a2a89d0db3550f6ba935fa513566626\"","Strategic Forecasting LLC":"\"de892d6f6b4c2207dd01e3547747d0b9\"","Stray animals around the World Trade Center site were rescued by the AnimalAid program, established by United Animal Nations.":"\"a217ccce5c50382f2be3f03337800d69\"","Symbols often speaks more than words. United In Memory: 11 September 2001 symbol represents many efforts directed to remember and reflect on the events that happened on 9/11/01.":"\"31aa7d74479130ca2c55684769abcd30\"","Syndicated columnist, Joe Sobran, writes about how the terrorist attacks were a reaction to US foreign policy.":"\"0c8f1e4dcf732a68fb76792ccdbfd0c6\"","Table Attributes":"\"9fde992ce2143771a5f24a8944ce29e8\"","TableTiddlers Template":"\"500b4f99ad034fff746f100e93a32bfc\"","Tagging":"\"5e2f41d40d723a2ee5c9f3d448c4142a\"","Teachers respond to tragic events trying to provide their care to children and ensure safety":"\"4bf354226282b25b80aaef3c89685d9d\"","Teaching Hypertextually":"\"0c6a744e61deafc2a3ccf39161066268\"","Techniques":"\"bb5b125c08e2d444ea56ab17a0104fcd\"","Templating":"\"c74833381b9661c2209bb1aced72be15\"","Terror Hits Home":"\"1cedf9bc9257a57164de6f608aabbd17\"","Text":"\"3932be6c8661fc35b166995d829ad77e\"","Text Hyper Wiki Tiddly":"\"2dc4ea432d1fd0dd322649e53a2cbc69\"","Text in this webshot describes the materials and structural system of the Twin Towers.  A graphic illustrates a typical floor plan within the building.":"\"ca405414bf7539b49b65486953cab742\"","Text in this webshot suggests one possible explantion as to why the supports of the building collapsed after the planes hit the Twin Towers.":"\"5b43d3485489a355c612e197b670a033\"","TextStretch":"\"9c4e6114fc00ce5ea6ae6a0b31346e16\"","The Ahlul Bayt Digital Islamic Library Project answered questions about Islam and terror, and demonstrated that the attacks of September 11 were un-Islamic.":"\"65c23867c935236ef7f78c018033a5f1\"","The Ahlul Bayt Digital Islamic Library Project condemned the terrorist attacks as un-Islamic, citing the Quran to support its contention.":"\"d87f9c250bc0405f314d61c1d6e8c2c3\"","The Ahlul Bayt Digital Islamic Library Project displayed the sentiment of former President George H.W. Bush condemning anti-Muslim and anti-Arab prejudice.":"\"b521143b7fd105079623c1de54381f04\"","The Ahlul Bayt Digital Islamic Library Project provided links to text and images demonstrating that terrorism is un-Islamic and showing the sympathy that Muslims throughout the world felt for America's loss.":"\"07d226a8018aec0d46a20c2f920580aa\"","The Ahlul Bayt Digital Islamic Library Project showed how Palestinian children grieved for America after September 11.":"\"0a07cd4fcedbc6e918c2fc3476d397bc\"","The Ahlul Bayt Digital Islamic Library Project showed how Palestinian children shared America's grief after the tragedy.":"\"67738eb952773c375d8ccea7810feca0\"","The Ahlul Bayt Digital Islamic Library Project showed how Palestinians grieved for America after September 11.":"\"8edc7cf91606aefa54a27e8c3e68e167\"","The Ahlul Bayt Digital Islamic Library Project showed images of Palestinians grieving for America after September 11.":"\"a4984596f7f55384f1acceb1b74e0041\"","The Ahlul Bayt Digital Islamic Library Project showed images of unity between Muslims and Americans.":"\"a6df0dc4bbea7fbc07acc34e9b07d9ab\"","The Ahlul Bayt Digital Islamic Library Project showed the ways Muslims around the world grieved for America after September 11.":"\"1a03c4cb9360d077902ad0b94f082ed6\"","The Ahlul Bayt Digital Islamic Library Project, a site devoted to teaching visitors about Islam, published its response to the tragedy on a separate set of pages.":"\"2e0a3f9bf92907e1af337a115b9ea16d\"","The British Muslim Fareena Alam posted a Department of State chart showing that in 1997, Latin America, not the Middle East, was responsible for most global terrorism against the U.S.":"\"24ecb212eed7bc0bdb7c0050c3524032\"","The British Muslim Fareena Alam re-published many articles on her website questioning who was really responsible for the attacks.":"\"1cd9914ca1a8876145de3481bf57af5e\"","The Catholic University of America hosted a lecture about Islam.":"\"73ce9350d039340a925997702bd56bdc\"","The Catholic University of America published the speeches made at their vigil.":"\"16fdc51ab1e538c3be3ef4c8c5279914\"","The Catholic University of American sent a letter to parents detailing their response to the Anthrax threat.":"\"1ee864b734b6efa1c4d75e2caa53d271\"","The Chief Executive of American Airlines recorded messages for employees, and the airline posted the text of the messages with a phone number for those who wished to hear the message.":"\"b8dada7f202487480494fbdf03210940\"","The Columbia Business School reports that their entire student body, staff, and faculty are safe, and lists a variety of useful information regarding the return to normalcy after the 9/11 attacks.":"\"06e8cecf0a97b8114cd5e65b204c3044\"","The Compassionate Friends chapter in Atlanta, Georgia reaches out to memorialize the victims of 9/11.":"\"c6a2c5d3b09dd42a9944dc4fc46f17d1\"","The Compassionate Friends of Atlanta, Georgia appropriate photos showing the workers at Ground Zero":"\"536e3bd7deb1917704f6a074055559b8\"","The Compassionate Friends of Atlanta, Georgia share the front page of a newsletter from another organization.":"\"6f95da45e7fce8d8605dd5571c4336f7\"","The Compassionate Friends of Atlanta, Georgia, displays a flag in solidarity of the tragedy.":"\"a06f10fce8e39b8e21d7c08848212d6a\"","The Compassionate Friends of Atlanta, Georgia, displays a photo combining a crying eagle with the Twin Towers.":"\"f2860e3d10a9d7a750c63d99c4f83e00\"","The Department of Justice warned that they would prosecute those who perpetrated false anthrax threats.":"\"05c256663ca80cc87ffab8f93eb140c5\"","The Department of Justice was responsible for enforcement of the new anti-terrorism legislation passed in the end of October.":"\"55807a296a65f603cf4f6780adcaa577\"","The Episcopal Church":"\"3ae2de09c4624839c475274cd277d17e\"","The Episcopal Church organizes a relief effort for the rescue workers.":"\"9f94d763061638ef6e057817eb3a7d81\"","The Episcopal Church posted this video of the Seamen's Church Institute which provided meals, socks, aspirin, shirts, for the rescue workers at Ground Zero hours after the attacks.":"\"eaf624cc41b7eb359900c3051bb202f9\"","The Episcopal Church responds to the attacks.":"\"ab66a7f2cb217c80ff98198bf963206f\"","The Families of Freedom Scholarship Fund is raising funds for the children and spouses of the victims.":"\"a5835bcb71e775b621f0e03208240b54\"","The Federal Bureau of Investigation released names of the 19 hijackers of the planes that crashed on 9/11, and requested information through a hotline.":"\"60626b77818ad2650dbbb0bd6b3b67c0\"","The Interfaith Alliance posted observations of reactions.":"\"d3a95184fb36e92b68eb728fe5f2d27a\"","The Interfaith Alliance urged people to embrace nonviolence, privately and publicly, and organize interfaith vigils.":"\"a217bbed3b11fd47b6e69be2a63652a1\"","The Journal of Arab Students advised Arab students after the September 11 attacks.":"\"5730988a8b5ad3ecc56b23ed928f919f\"","The Journal of Arab Students condemned the attacks on its front page.":"\"3056768d65de336a93caacde8d76b30d\"","The Journal of Arab Students invited students to attend a memorial for the victims of the September 11 tragedy.":"\"2d3ef719fb1e667a4ba3528f40d31591\"","The Lonely Planet, publisher of travel guides, hosted a discussion board devoted to the topic of September 11.":"\"ac335c54e34abcd95e789bf6131d5e4b\"","The NY.com site links to survivor lists at the nyc.gov site as well as other useful information for helping survivors and relief.":"\"caa02d11f006b819f81388c4f698f793\"","The New York State National Guard was mobilized in response to the attack.":"\"27ec3aea72bd66020c1aa4bc4fa28ddd\"","The New York World Trade Center Memorial site providing a memorial message and link to message board.":"\"37233dce1cb2651a760545c89c220faa\"","The Outpost of Freedom argued that the World Trade Center was the symbol of American world governance and the Pentagon a symbol of the misuse of power.":"\"dc76e8b36b079c411c66aec0bac923a7\"","The Outpost of Freedom argued that the first responders, firefighters and police, impeded the ability of victims to escape the collapsing World Trade Center.":"\"540fb33dbc6f625e27616390d21739ba\"","The Outpost of Freedom did not believe the United States had the legal authority to retaliate against Osama bin Laden.":"\"bb52780a5682c3a02496391e0c898b96\"","The September 11 Victims' Relief Fund gave an address where aid could be mailed.":"\"962aa93f6c35a1c852918af4ee31b365\"","The September 11 Victims' Relief Fund links to stories in the news about itself.":"\"f1b4805625bb73cc2cf94289cfeb3cb0\"","The September 11th Victims' Relief Fund was established \"to serve the long term needs of the victims.\"":"\"b036c40e115dd0187f228beea4aba402\"","The Topps Company known for sports cards, creates a line of Enduring Freedom Picture Cards.":"\"b4290bdfc7be4e64c5186dec898fb76f\"","The Trinity Parish, which includes the Trinity Church and St. Paul's chapel, is adjacent to Ground Zero. The church buildings and people were important in assisting the emergency workers.":"\"ab93e5df258499d3309094bc01ecd8a2\"","The USO is asking for donations so they can support the US Armed Forces.":"\"12b400237d88055842a6a2dcc0e3d87d\"","The USO is describing the difficulties our troops face with the war on terrorism and how the USO is responding.":"\"5469c58886f90f403e164cb185f53900\"","The USO is providing options for people to donate to benefit the troops.":"\"bf66625faf15b04ee150346812129fc5\"","The USO is providing services to the troops, their families and communities.":"\"0861ab57fcae24cab05ee898e8659344\"","The United Methodist News Service published many online stories about the ways September 11 affected the lives of Methodists, and how Methodists should respond to the tragedy.":"\"66e2644829745f85f50c8304d38e0912\"","The United States Marine Corps posted a contact number for people to call for information after the tragedy.":"\"5fcca7def13568b4d4947dfd8ab89689\"","The United Way is offering ways to help, shown here Give to the September 11th Fund.":"\"47e00f7e90a9d3bb7884b4bee79f9558\"","The United Way is offering ways to help, shown here Talk to Children and Teens.":"\"453064ec763811950b8057a1dedba382\"","The United Way is offering ways to help, shown here promoting tolerance.":"\"25c7344aff1f6a675353b2fa6ebbbdf6\"","The United Way is offering ways to help, shown here supporting your local United Way.":"\"606c581d39a48544a3e6c18e38623079\"","The United Way is offering ways to help, shown here volunteering.":"\"2ec880bb8d1d01f61b3fb8edc37457cc\"","The United Way's list of major donors to the September 11th Fund and the amount that company has committed to give.":"\"de09d05426610a943f5e15a18650b8e8\"","The Web as an Object of Study":"\"06414cda1c05e2cf8561bfe22c610ef7\"","The Westboro Baptist Church codified its belief that God hated America because of its tolerance for homosexuality in parodies of well-known songs.":"\"f6c5b1b839425b571c7f89eb51be37ef\"","The Westboro Baptist Church posted information about its protests in the wake of September 11. The group blamed tolerance of homosexuality for causing the tragedy.":"\"1f74d102814bcfdea9c122fa5d9e38da\"","The Westboro Baptist Church provided a simple interpretation of events: September 11 happened because God hates America because of its sins.":"\"e45973a98977888c2532697d52f65c7b\"","The Westboro Baptist Church sought to interpret the tragedy using Biblical verses to support the notion that September 11 was punishment from God.":"\"db81f6fe8de318524bf98a84324f893b\"","The Women's International League for Peace and Freedom asked its members to contact Congresspersons on October 10 to urge peaceful responses to the tragedy.":"\"c266879e18b8cc201ea7eb4e75dcea77\"","The Women's International League for Peace and Freedom posted contact information to combat discrimination following Septmeber 11.":"\"ec9a28d229d0c2bc3bfd30364b50e459\"","The Women's International League for Peace and Freedom provided resources to urge leaders to respond peacefully to the tragedy of September 11.":"\"0cccf58498507c5c8339c9bd7421b49c\"","The Women's International League for Peace and Freedom wrote to President Bush and Congress advocating a nonmilitary response to September 11.":"\"a83336240cec52a94fe16581ebd629c5\"","The Women's International League for Peace and Justice opposed war and racism and promoted the values of freedom for all and peaceful responses to terror.":"\"6816c35ca8d32a29cdd6e6e4ba2d79e5\"","The World Trade Center Memorial site published memorial text and images from all over the world.":"\"70108717224a9a641bee035c4721537b\"","The group Hindu Unity accused Pakistan of supporting the attacks.":"\"fccfc84fa022eda9367b231e6683f676\"","The group Hindu Unity compared the actions of Indian Hindus with Pakistani Muslims, suggesting that Hindus supported the United States, while Muslims opposed them.":"\"bf982c396b3ccf5f8aed9dbe0f2df727\"","The group Hindu Unity condemned Oprah Winfrey for supporting donations to Afghan children, claiming that the children were future terrorists.":"\"b7eaeed6840b83219aad298890a5f5c4\"","The group Hindu Unity condemned the attacks and warned against the danger of Islam.":"\"d413dfaf38e9851df7fe21ca6625d168\"","The home page of quilter Carolyn Lee Vehslage highlighting the recent benefit auction for the Families of Freedom Scholarship Fund.":"\"24044344fabb9551c78b0d0b3f362411\"","The site NY.com briefly maintained a list of survivors and missing persons on its pages, but by September 15 had had to remove the list.":"\"fa31873c0450367cb29b14cb5bd3137c\"","The whole is always smaller than its parts":"\"48d2e0971feae3fffb53e83455bbff79\"","There are many forms of grieving and reflecting on difficult, uncomprehending events. Thinking and using thoughts expressed by others may be helpful way of dealing with the tragedy of terrorist attacks.":"\"d326ebbca0ed2db12113483396c49b12\"","There were multiple sites with images of memorial ribbons.":"\"20a105a4cfa7ac0d4ba6f5341fdf5249\"","These photos are part of a collection of images Evergreen State College compiled.":"\"d3753b5703a5d1e6e318d188f3cf89ee\"","Thinking Hypertextually":"\"644443dcfd7b158d3f714649934f26eb\"","This graphic illustrates what engineers think may have caused the steel structure of the World Trade Center to collapse.":"\"f9205bc05d9e2c0fbb2eabf34761caa2\"","This page shares links to a variety of folklore surrounding the 9/11 terrorist attacks.":"\"170787ca33b0019a71d84036ff3518fb\"","This site allows people to submit stories about their own 9/11 experiences.":"\"6f8bb66f35439168084ca2fece6466f4\"","This webshot displays United Airlines' first official statement after the occurrence of the attacks on 9/11.":"\"9ff777e06a53a17d28fdd9bc9f6a5579\"","This webshot displays United Airlines' second official statement only hours after the occurrence of the attacks on 9/11.":"\"951fe43b1289411d02fadabbd4524cd6\"","This webshot displays a link to an explanation of why the World Trade Center may have collapsed from the perspective of engineers.":"\"dda4e46b3f9e08075349ab873402800e\"","This webshot displays a portion of the meeting minutes for Battery Park City's Residents Association.  Questions are answered about rent for tenants displaced by damage from 9/11, repairs and cleaning of apartments, and when apartments will be ready for occupancy.":"\"b90c36fa61dad581f064f6b7583f50d5\"","This webshot displays a ten point statement created by the Electronic Privacy of Information Center that urges lawmakers to protect the civil liberties that define the American way of life.":"\"8729a30bf4f0b7e80e3be7b8c978fb18\"","This webshot displays information regarding the 9/11 crashes and assistance that would be provided to families of victims.":"\"376d87e7ef6cbe98daef477baeeaf118\"","This webshot displays part of the list of law professors that support the Electronic Privacy Information Center in the protection of freedom.":"\"3353a7e01aee7aec0c41e802f269c4e9\"","This webshot displays part of the list of organizations that support the Electronic Privacy Information Center in the protection of freedom.":"\"0b159ec394b22fc91ff0c1de4f539812\"","This webshot displays the form that people can fill out to endorse the defense of freedoms in the United States.":"\"213260e991c328e4bbe552bc6b491986\"","This webshot illustrates that the Electronic Privacy Information Center or EPIC feels that despite recent attacks, Americans should be aware and work to maintain their freedom of privacy.":"\"dba2cd41d9fc1341ff6cbd384fc57576\"","This webshot includes stories from eyewitnesses of the Flight 93 crash.":"\"1267d31cc7cf16ef182c19c33fd400cf\"","This webshot introduces Cynthia Malaraan's website which uses imagery and a diary to pay tribute to the changes in NYC caused by the 9/11 attacks.":"\"9eb7f8154f40e1cee6ee321c9c9474ac\"","This webshot provides general information about the engineering and construction of the Twin Towers.":"\"458c5c6b69103edda45824a9cd9f7b39\"","Three-D model of Ground Zero with St. Paul's Chapel highlighted.":"\"fd128a923eb5b0f93bc92967ea74c646\"","Throughout the Fall of 2001, Senator Hillary Rodham Clinton's office actively made information available and assisted relief efforts throughout the various tragedies of September 11, the anthrax scare, and the crash of Flight 587 in Queens, NY.":"\"cc752d90f83bdf4171b7709730756aa9\"","Tiddlers":"\"9b3696eeb10c552ca8d462b415fb17bd\"","Tiddly":"\"206ec3b1b36892f31482a2e1702bac0b\"","TiddlyWiki: A Tool for Monadic Exploration":"\"963d016762f5d29770ae7ce5e22be172\"","Timeline of events on September 11th, 2001 from 10:10AM-10:48AM":"\"d2343482c07e185da4215fe30a636691\"","Timeline of events on September 11th, 2001 from 10:53AM-12:04PM":"\"fcf810f58c69f30807e83f9e7d16497a\"","Timeline of events on September 11th, 2001 from 12:13PM-1:50PM":"\"ecb78f355d68f32828347c632384a846\"","Timeline of events on September 11th, 2001 from 2:00PM-8:45PM":"\"a045d5c57d8ea2c325f44bba05946f6a\"","Timeline of events on September 11th, 2001 from 8:45AM-9:22AM":"\"a1c64af24a7dc42362de21dc35b47c93\"","Timeline of events on September 11th, 2001 from 9:22AM-10:08AM":"\"d975256b7f5ab6a634b0ce3e8e05febe\"","Tonns, Tony":"\"ee10eb0487063ae414c750b080f9d607\"","Tony Tonns set up Ground Zero to memorialize those who lost their lives.":"\"ad1d708b13f152f690e1edcdec774747\"","Toolbar plugin":"\"c8ec165a08a143341ee15b042ee114cd\"","TopTopMenu":"\"ca6d28f317dc76442cb8d36a4318a475\"","Topps Company, Inc":"\"e0ab2a2f35ab41c555d02703af4c6310\"","Toward the Tabular Text":"\"bade37a15a19b26a91e0718770d1b092\"","Transcluding":"\"dada2485b95100b1f5ffd8169b513f60\"","U. S. Department of Justice":"\"b0c42c294ef8e41919319e229193b29f\"","Union United Methodist Church":"\"ab61de9007d3c6ebe84294a7f0cf77f7\"","United Air Lines, Inc":"\"81c218e6a8d07264c7c6d69cc6e80fee\"","United Airlines expresses very limited information regarding the 9/11 attacks.  They give their condolences to those affected by the attacks and provide hotlines for those who want more information.":"\"2d2dea3f165af33a89e6183a4bfd3735\"","United Airlines provides links to information about two flights that were involved in 9/11.":"\"201e89043a3e376db2820a947e5bfd78\"","United Animal Nations":"\"e961d1e8ee7120329fd773fd788b56aa\"","United Animal Nations provided assistance for animals and pet owners affected by the World Trade Center collapse, as well as for search and rescue dogs.":"\"c79979f31e0260e25b01fef47d90c354\"","United Methodist News Service":"\"ff57c7c4441677148555358edae18563\"","United Service Organizations (USO)":"\"b8c15d385aa6da956a435d7d38e676d1\"","United States Marine Corps":"\"3f6408d4b56d72c0b515f76e7db4eb3a\"","United Way of America":"\"9c4347fed88ece8a1c6dbf7d951c1f4a\"","United Way's role in the recovery effort and ways to give.":"\"b19705879028b94289c98bfa81fbbd03\"","Unknown,":"\"36acff853a2a089c5e7a73ed543ac472\"","Untitled":"\"8737c8c3e40c502da9daf4f95a6042d0\"","Untitled 1":"\"2bacb66b5b092ac54a6bb570b6fa7154\"","Uptoolbar plugin":"\"7ef9e6deda720f8a30de2d9dd1dbec07\"","Varieties of Hypertext":"\"e1cef6e5d02c7832ca345e375f601db6\"","Viewing Archived Pages in Context":"\"1c73b6c51ed98bb9c8b70d896c04467c\"","Visible evidence speaks even more profoundly to reality if the terrorist attacks":"\"9123b838857ccf10531df87717d5e0b9\"","War actions create more damage, instead should we try to capture and prosecute Bin Laden.":"\"466d17e51d7208d2e74ef43aa9d0955f\"","War will come at a cost of our freedom, but isn't the war about preserving our freedom? Paradox.":"\"7e004be97d2769c1ae75cb89d79743a2\"","Web Campaigning: Web Sphere Analysis":"\"f18c7cca6fd6b7ffd802baa39e8312fc\"","Web images after September 11, 2001":"\"3d43a7ca5aee21ba4d0abcf08497a4e6\"","Web pages tagged Add-on and Educational":"\"907c62c0b39dfd0c1431a633fe3dd9f5\"","Web pages tagged Add-on and Government":"\"06c3dd595b263f37f141db332b7ef74c\"","Web pages tagged Add-on and Public Interest/Advocacy":"\"400f3a0c518c29071ee7f58db517c49a\"","Web pages tagged Add-on and Publishing":"\"3b4e409a3854c69a47452807a07f0fcd\"","Web pages tagged Appropriating and Photo":"\"7df5a0a2861215eb21b19d5d06282ae6\"","Web pages tagged Branch and Charity/Civic":"\"6505f91f981231b3b1b59949ffef6e5b\"","Web pages tagged Branch and Educational":"\"96d309a81b7189599a47fad59a04c9d8\"","Web pages tagged Branch and Government":"\"56cf2eeabc5a9d1199970f0a4238f89c\"","Web pages tagged Branch and Public Interest/Advocacy":"\"e2617c61da94063492876e709d3dfc6b\"","Web pages tagged Business and Add-on":"\"56f3c121756d849f47ad6dfe285a6cb9\"","Web pages tagged Business and Appropriating":"\"5e9d5ef80c467cff796bdd76e27c7348\"","Web pages tagged Business and Assisting":"\"48c3bafa3045a9131ace950da653a715\"","Web pages tagged Business and Hosting":"\"0014d0776552cde5c9c0b98fdd42f9c0\"","Web pages tagged Charity/Civic and Appropriating":"\"ba4d2b0b010ecaf5b07409bfa56cdf07\"","Web pages tagged Dedicated and Business":"\"cd72bda2b8184fb35b330cb36f3791bb\"","Web pages tagged Dedicated and Educational":"\"b8e4feabb1e37d6dd22e7b28001c98f2\"","Web pages tagged Educational and Branch":"\"d58682773a92e0eb12cc7d769fbf6918\"","Web pages tagged Educational and Hosting":"\"f0d5dcd36ffe3cd821680457664b60c2\"","Web pages tagged Educational and Publishing":"\"2c5c69b7be098ce4c9a32430f364b14c\"","Web pages tagged Government and Add-on":"\"ca95ee32d8415c1f70512be807e776e0\"","Web pages tagged Individual/Volunteer and Appropriating":"\"4fd24cdda859699d1b80399a59956afb\"","Web pages tagged Individual/Volunteer and Hosting":"\"9c3a7b159df7f786a7c10510f5016bda\"","Web pages tagged Publishing and Graphic":"\"685a2d10e506f55aa82c888c375a7db3\"","Web pages tagged September11 and Anti-military":"\"8d7daa28a4d062a5df862396a627c635\"","Web pages tagged September11 and Snark":"\"826fc1d7fb870a87c820fa7d4722f354\"","Web-action":"\"97bf170b188e1e9c24c8807374d9cf24\"","Web-as-Object-of-Study.pdf":"\"cbfce7429bfd210671278b0a72c77760\"","WebArchiveInterface Macros":"\"067a93f2e8ed5aa3bbca0739252d78a0\"","Webshot illustrates a producer publishing text condeming terrorism using a religious viewpoint.":"\"96ba742d38676d481ce378c377fe83e1\"","Webshot illustrates a producer publishing text informing how people may join volunteer efforts or contribute to disaster relief fund":"\"d3e2a5699c31c639dbd55b840fa8c1c7\"","Webshot illustrates a producer publishing text reflecting on the 9/11 tragedy in behalf of the Council of Bishops for The United Methodist Church.":"\"8973851def899127859ce564c3cd52e7\"","Webshot shows quotes from various officials reporting on 'hate' crimes around the U.S. after the attacks":"\"06d963484b63b146c9247fbf4bd9b63b\"","Website display a picture from ground view of the attack on the World Trade Center.":"\"753a212476fc849aec86ff5667d08148\"","Website displaying photos of the aftermath of the 9/11 attacks.":"\"5422e0c8f7df6b989719905fa046b821\"","Website displays photos of the second plane approaching and hitting the second tower.":"\"d9a5cc52b9561eac190595c6b3e43816\"","West, Bob":"\"5d7074cf7f81e57e7f769a997241dc95\"","West, Jessamyn":"\"6e6dbfdd12e9e1ad86090000baa9a186\"","Westboro Baptist Church":"\"0da28277430967fcdf70f33a3910df81\"","What is TiddlyWiki?":"\"23120baf13286a53fc8ce3373449eb05\"","While there was a high death toll from the attack, does it mean a war is necessary?":"\"90ca9ec671b6c17f84cc01382f06c8a4\"","Why 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Add-on":"\"98a2a12644bfca11415baf74e71d20ce\"","following Branch":"\"9da9aef0410107a73759726b0255c150\"","following Dedicated":"\"aacb607ee6807c881dff8b2870b623d4\"","following Unknown":"\"be5c1b4d0f963954b371252a7a37698a\"","fray.com":"\"65558cc92948586396438b9caa1d0c62\"","gemm.com":"\"28a8fa6eb45b61cd9498d0259c24604d\"","genehack.org":"\"45e7a36737e1905dffd06b7f820affcd\"","geocities.com":"\"a917e0863314be07d07f6b392820f950\"","goodnewsaboutgod.com":"\"5607ced05bbdfc1a73fe2f64d26c2354\"","home.earthlink.net":"\"65287191d46a0fff1a84baa2de99cc1a\"","hosting Add-on":"\"24d8bbc03382236446808b6e66109a03\"","hosting Branch":"\"8764d73162df3e5c176518ac22848428\"","hosting Dedicated":"\"971340ad11249ffe4b21a0e97407dca7\"","hosting Unknown":"\"0fa0c80e16898d7f23b6c6bd3f6d5c38\"","islamic-city.com":"\"47fc7d95cce4d29c6b2670419d2ce0fe\"","jfg.girlscouts.org":"\"d2bdb431125f0ee13853f6c8d3cf53ff\"","jish.nu":"\"76b6aad363c82833fb17cf5bd1b8674c\"","justicemail.com":"\"c1abbbbe36749d8197767d1b31bb93ac\"","kottke.org":"\"8d4de162d95d050b148cf47d2e8df978\"","lawandeverythingelse.com":"\"6d784fef82c7c384a334d28b4d422d83\"","lightacandle.sol.dk":"\"aa120499be878ecf45a28fd61a4c353f\"","linking Add-on":"\"a7652c447ce6a76eac203af63a7afdaa\"","linking Branch":"\"c7f3bcbe210bbdee05e7fd07ade53b74\"","linking Dedicated":"\"2f6549dc45ad6fdabb99c4e8a97da02e\"","linking Unknown":"\"3cf5da798063c7cd70e4a61269d2c983\"","local host wayback page":"\"1fb438f3fd85b6170548f5b53baeadc4\"","manson.exodus.net":"\"debe6baa120b48eb8a70abf564525817\"","medium":"\"362aecbe587c66fbf22e0ef5752569d6\"","menic.utexas.edu":"\"f080c51b6862e8de60f69e186ff8667c\"","my.webmd.com/roundtable_topic":"\"464e1982e7cf3f90fe0814ca57218a93\"","mystory.inter.net":"\"5f87080abaa2a800844593145be694d8\"","navbar":"\"7c5a168895004b7470778f0ee41f6002\"","ncccusa.org":"\"7cef61acc992621858e9aed3431633dd\"","nebraskasynod.org":"\"7721eabab8177d1cea1c07fb695f86ed\"","news.bbc.co.uk":"\"e57c9fe4dc1343b08b7984439b5ad345\"","origurl":"\"0cfd4a48c0d8029395ff43d1496af9ff\"","pages.prodigy.net":"\"e3b84ad7330bfead9a9b0058aede5e83\"","papertoys.com":"\"922e6de1a0084484a0f455b0c8caffaf\"","pew-internet-report.pdf":"\"13549bb121aa59078286e5c0fe9152ba\"","producer":"\"f4a7419624f12269bae65a07dce15c63\"","producer-approach":"\"24eeebec2aa7b984e4463cb531b636f7\"","producer-name":"\"a37facf6b446817785bb5467ea8f19fd\"","producer-type":"\"9bb67ee3b3dfe1f96eccda0c521a072a\"","pub84.ezboard.com":"\"edab93a7f38759c912fe6907ff0b085e\"","publishing Add-on":"\"438820423b95c81ee1e9404e336ae8db\"","publishing Branch":"\"12362221d5cebf4ff033bd522fd762b0\"","publishing Dedicated":"\"e3afe917b1d4221e5b785eb3648f65f5\"","publishing Unknown":"\"02a9fbb98e0c2f6f28c9236ea03ee175\"","publishingUnknown":"\"9c669a8caf6ba478e74c110ca0ca538c\"","remember.worldatwar.org":"\"d191673ef83ed37a1404cfdacc8d66ad\"","safe.millennium.berkeley.edu":"\"1d0e93345f1df35bc3a902cbcea6cf77\"","scripting.com":"\"0a249af515724def2d5b638e1f98556b\"","show":"\"0887b4342192d5fb6abc6c8d8ac23a7c\"","showdox":"\"10264c646511f26150da9e04e2cea6d3\"","specials.msn.com":"\"adad54fe291c8936c9bbf1d11c5d3b33\"","spinsanity":"\"f8c47b4db72921f12f939a92e80b4f10\"","stylesheet":"\"d2e678d96643d4220c2e603595cfbfc0\"","sunews.syr.edu":"\"9cb29038f0ccc4572428fe085f4b352e\"","tabletalk.salon.com":"\"f406ab9989f853d8fda62609c8e7ddbb\"","tags":"\"45d45ecc13b0f2f2abf26622166df6aa\"","temp blog post for testing":"\"644b1c17ece74c5b3db36eca2d1d0b14\"","terror.joshstorz.com":"\"65f749b6a4529492aa9321a61665a525\"","thankyou.fast-networks.net":"\"a4750e7de25d8272d457a7d79b2729d1\"","thegospelzone.com":"\"48455ec57999b2eeecf7e50d2adae82a\"","thetruereligion.org":"\"8d182cb3fcaff2c9b746d544bef62428\"","title":"\"2869c00a72ef1b8b61bd3b5f719eb5bf\"","us.geocities.yahoo.com":"\"c7de83dc93b26c84e55620a0c49b66cc\"","vandendorpe15.pdf":"\"08a25a61cf117639add76f47f91dcc75\"","vandendorpe8.pdf":"\"40ffaa72880ee08153d81ac003f81ae4\"","web-action":"\"b838fb2d79d9102f15706b01f8f4d6f6\"","web-campaigning-pp27-35.pdf":"\"37290ffb40263ba3c750001cdc198a91\"","web.mit.edu":"\"fe0149957ba99feb8c311f3f9d06a845\"","wherewereyou.org":"\"4e7f1b4e723fc2620a9014d18de15e46\"","worldtradeaftermath.com":"\"88f37ad23dcfa35358d167d11b918854\"","wtc.blogspot.com":"\"638f3839cf0b0dd617192b8cfd5afdae\"","wtc.chats.co.il":"\"93197efe45e368de578389111cfdef04\"","ww.blahblahblog.com":"\"5ad26b968d1027ce1c719bea0166960d\"","www.99dogs.com":"\"e5c32102d7832f3902d06db1d5f04126\"","www.abc.net.au":"\"6eede4e626418de4577ebbcc7f4d8c0f\"","www.afghan-network.net":"\"f9db947774df078bdd209c4e78133d25\"","www.alhewar.com":"\"ecb568f4a04f7785e9a5004d819cdebb\"","www.ambushsite.com":"\"7f8ad2e789de062a5f277a1d921b29f8\"","www.appleseeds.org":"\"261bf828b0e7753f4cefbc2bfdaffdd5\"","www.arabamerican.com":"\"53384fdb60afd0e308197376e167606d\"","www.attackonusa.f2s.com":"\"03498acda19a241ffc39fd0585fc0138\"","www.bettingonamerica.com":"\"1b251e0ad70fd1e021e52fda24a4a0d9\"","www.broward.org":"\"4c22b5b123836f257a8d60fe19f14aed\"","www.browardschools.com":"\"31677bf1dbc921ba3d2c892fd8075c36\"","www.cjf.org":"\"5b8222635589b5e25fb473f185248a29\"","www.deafdate.com":"\"07d2cd5023089fafdd8a320f0db8bc0c\"","www.disastercenter.com":"\"2d550b9093bae74f2d7ed44976e2775e\"","www.edc.org":"\"29a5d4d10cded347a07018fb7414954e\"","www.educateamerica.org":"\"17a5ee5abc5caace8d97a3a803547525\"","www.episcopalchurch.org":"\"4bb5d574c6e161651448af2934e08a97\"","www.fourthturning.com":"\"e26735903464eae6407b85612267e2ba\"","www.geocities.com/american_freedom_91101/":"\"8a4d9357d163ccffce84771d32d85d6f\"","www.geocities.com/athnsios":"\"fbbc36594ad4eb2ee871003b5f4c6f03\"","www.griefnet.org":"\"15cc1dad9cf14a08833342b10e5579da\"","www.harbus.org":"\"a8190212b3493850fc711655041438fe\"","www.heartlight.org":"\"152a0988ae69ab68c2f13d686a39494b\"","www.hezb-e-islami.org":"\"09c6d69a952b7b0a6153edba51cb18ae\"","www.hinduonnet.com":"\"8706b198bcede9cd2c554659c1013de1\"","www.howard.edu":"\"ff479570ad54df3487b54e05d85a8bc5\"","www.iuinfo.indiana.edu":"\"1f09f1bd9747328d351a5aa7759f8661\"","www.javaranch.com":"\"80a9337b05686a737c8980e4734693e2\"","www.jish.nu":"\"7f12550e1fbb62cb69a6b824f39f3e01\"","www.likeanorb.com":"\"aa150d9012d979469a127e827b008826\"","www.middleeastwire.com":"\"094690fbb9827684a76fa1d714727dd7\"","www.nacc.org":"\"94237b5f4ae0df222b50312ce56590de\"","www.newsday.com":"\"ff4e496e7d0a4f8a263767f4adce22cd\"","www.newyorkworldtradecentermemorial.com":"\"8730ef0855d40351c75c341388e03cc7\"","www.paul.dube.net":"\"bcb1ad38ad1b02a18c5dce36803383ac\"","www.pentagondisaster.com":"\"60ce5057d39e292664175715c931d28c\"","www.powerlineblog.com/archives/2017/06/update-and-thoughts-on-the-scalise-shooting.php":"\"9ba5c1ac497d62d47b0c9b5d1ccde5be\"","www.poynter.org":"\"93c366bc997b0fa207e79863245d807b\"","www.ravelly.com":"\"186d0c4849ade1f3d1b1ea0fbe7ff59e\"","www.september11news.com":"\"f694cdfea8fa90c8348592b6a8d4f4e2\"","www.sfsu.edu":"\"4dabec53f0aaf913c67980a8a147aab9\"","www.siworld.com":"\"88399951d83b9ed1629a8bc9fed74d09\"","www.specwarnet.com":"\"40721fa02dda1a811460f45d3a4928b0\"","www.sun.com":"\"73f2611f846892db167eb69c22ff0133\"","www.theguestbook.com":"\"d960b91148787749d06c15a9211c627a\"","www.thewallsonline.com":"\"909cf90e576244669ffba8a88159957d\"","www.virtualmiracles.com":"\"209f8e9dcd2e053ab313354bd4871908\"","www.witchvox.com":"\"4d9369955130c254033777c8e58b07fe\"","www.witchvox.net":"\"c3d77c2d1ead3ab9dedbbee1377fdbcd\"","www.worldtradecentermemorial.com":"\"82a6ac513ce26d07b1280ce843b4abc2\"","www.wtcbombings.com":"\"96e3e7945d30ce61ee7a6e4670321ec2\"","www.wtchope.org":"\"fe00f3517dd211e5313d99dda47b90a7\"","www.wtcmemorialquilt.com":"\"fe97105b2fcfecbd3284dca064d99b97\"","www.zahov1.f2s.com":"\"96169c4899ce6e9194aa6662edb598d3\"","www2.arch.ttu.edu":"\"0fb786b2dc1b69afa80b30fff2bc4d86\"","www2b.abc.net.au":"\"6fa7d593ff7c06917f55ed208952931e\"","xymphora.blogspot.com":"\"be57369ac4bf788b27a4a976d120c6a3\""}

https://3ra8f69t8l.execute-api.eu-west-2.amazonaws.com/prod/

7dt020qa8e7mu1oqeqqc0sdss4

eu-west-2:a8912c43-2425-4dc8-b508-26f00b4c2342

steve-tiddlywiki-exploration

eu-west-2

eu-west-2_ozdiUBB1W

howdy

/*\
title: $:/.tb/macros/calc
type: application/javascript
module-type: macro

Computes a (Field) value +,-,*,/ a provided value.

\*/
(function(){

/*jslint node: true, browser: true */
/*global $tw: false */
"use strict";

/*
Information about this macro
*/

exports.name = "calc";

exports.params = [
	{name: "value"},
	{name: "operation"},
	{name: "until"},
	{name: "beyond"},
	{name: "decimals"},
	{name: "tiddler"},
	{name: "by"}
];

/*
Run the macro
*/
exports.run = function(value, operation, until, beyond, decimals, tiddler, by) {
	if(!value) {
		return;
	}
	if("" === operation){
		operation = "+";
	}
	var
		curr,dec,init,initMatch,op,opGiven,r,result,val,
		regInit = /^((?:[0-9]+)|(?:(?:[0-9]*)[\.,\,](?:[0-9]*))){1}[=][>](.*)/mg,
		ops = ["+","-","*","/"];
	initMatch = regInit.exec(value);
	if(initMatch) {
		init = initMatch[1].replace(/[\,]/,".");
		value = initMatch[2];
	}
	curr = parseFloat(
		isNaN(parseFloat(value)) ?
		this.wiki.getTextReference(value, init || "NaN", tiddler || this.getVariable("currentTiddler")) :
		value
	);
	until = parseFloat(until);
	decimals = parseInt(decimals);

	op = operation.charAt(0);
	opGiven = ops.indexOf(op) >= 0;
	if(!opGiven) {
		op = "+";
	}
	initMatch = regInit.exec(by);
	if(initMatch) {
		init = initMatch[1].replace(/[\,]/,".");
		by = initMatch[2];
	}
	val = parseFloat(
		isNaN(parseFloat(by)) ?
		this.wiki.getTextReference(by, init || "NaN", tiddler || this.getVariable("currentTiddler")) :
		by
	);
	if(by === "") {
		val = opGiven ?
			(operation.length < 2 ? 0 : parseFloat(operation.substr(1))) :
			parseFloat(operation);
	}
	if(isNaN(curr)) {
		result = "NaN";
	} else {
		switch (op){
			case "-": result = curr - val; break;
			case "*": result = curr * val; break;
			case "/": result = curr / val; break;
			case "+":
				/* falls through */
			default: result = curr + val;
		}
		if(!isNaN(until)) {
			if (!(
				"+" == op || "*" == op ?
				result <= until :
				result >= until
			)) {
				if("true" == beyond) {
					result = true;
				} else {
					result = until;
				}
			}
			if(beyond && result !== true) {
				result = false;
			}
		}
	}

	if(!isNaN(result)){
		r = result.toString();
		dec = r.indexOf('.');
		if(dec > -1){
			dec = r.substr(dec).length;
			if(
				!isNaN(decimals) && dec > decimals ||
				isNaN(decimals) && dec > 2
			){
				result = result.toFixed(isNaN(decimals) ? 2 : decimals);
			}
		}
	}
	return result.toString();
};

})();

/*\
title: $:/.tb/modules/startup/hide-sidebar.js
type: application/javascript
module-type: startup
created: 20151010151732122
creator: Tobias Beer
modified: 20151010151750739

Hides the sidebar on startup when the config tiddler [[$:/config/hide-sidebar-on-startup]] contains "yes"

\*/
(function(){

/*jslint node: true, browser: true */
/*global $tw: false */
"use strict";

// Export name and synchronous status
exports.name = "hide-sidebar-on-startup";
exports.platforms = ["browser"];
exports.after = ["startup"];
exports.synchronous = true;

exports.startup = function() {
	var conf = $tw.wiki.getTiddler("$:/config/HideSidebarOnStartup"),
		value = (conf ? conf.getFieldString("text") : "").toLowerCase(),
		state = value == "yes" ? "no" : "yes";
	$tw.wiki.setText("$:/state/sidebar", "text", undefined, state);
};

})();

<div class="tc-control-panel">
<<tabs "[all[shadows+tiddlers]tag[$:/tags/ControlPanel]!has[draft.of]]" "$:/core/ui/ControlPanel/Info">>
</div>

Masterclass

{{$:/_Menu/Home/Configuration/Options}}
Templates:
<<list-links filter:"[tag[$:/tags/ViewTemplate]]">>

The following tiddlers were imported:

# [[Untitled 2]]

Steven M. Schneider || SUNY Poly || @stevesuny

TiddlyWiki: A Tool for Monadic Exploration

* ''Tiddler titles:'' <$radio  tiddler="$:/core/ui/ViewTemplate/title" field="tags" value="">Hide</$radio>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;<$radio  tiddler="$:/core/ui/ViewTemplate/title" field="tags" value="$:/tags/ViewTemplate">Show</$radio>
* ''Tiddler subtitles:'' <$radio  tiddler="$:/core/ui/ViewTemplate/subtitle" field="tags" value="">Hide</$radio>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;<$radio  tiddler="$:/core/ui/ViewTemplate/subtitle" field="tags" value="$:/tags/ViewTemplate">Show</$radio>
* ''Tiddler tags:'' <$radio  tiddler="$:/core/ui/ViewTemplate/tags" field="tags" value="">Hide</$radio>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;<$radio  tiddler="$:/core/ui/ViewTemplate/tags" field="tags" value="$:/tags/ViewTemplate">Show</$radio>

<hr>

[img width="10px"[$:/_Icon/code-elements]] <small>''Tab source:'' [[$:/_Menu/Home/Configuration/Options]]</small>

<pre>
.stretch-closed {
  display:inline-block;
  padding: 0 3px 0 2px;
  margin:0px -2px 0 -1px;
  line-height:96%;
  background: none;
  border: 1px solid lightgray; 
/*  box-shadow: inset 0 0 5px #b3b3b3; */
  margin-right:2px; 
}

.stretch-open {
  display:inline-block;
  padding: 0px 3px; /*0 3*/
  margin:0 -2px;
  background:#f4f4f4;
  border: 1px solid transparent; border-bottom:1px solid silver;
}

.stretch-outline {
   display:inline-block;
/* box-shadow: inset 0 0 2px gray; */
   padding-right:2px; padding-left:0px; /*2*/
   -webkit-animation: revealoutline 3.5s ease 1 running;
   animation: revealoutline 3.5s ease 1 running;
   outline: solid 0px red; 
   outline-offset:1px;
/* margin-right:0px; */
}

@-webkit-keyframes revealoutline {
  0%  { outline: transparent solid 1px; }
  25.0%  { outline: silver solid 1px; }
  50.0%  { outline: silver solid 1px; }
  100.0%  { outline: transparent solid 1px; }
}
@keyframes revealoutline {
  0%  {outline: transparent solid 1px; }
  25.0%  { outline: silver solid 1px; }
  50.0%  { outline: silver solid 1px; }
  100.0%  { outline: transparent solid 1px; }
}

.stretch-open:hover + .stretch-outline { outline:silver solid 1px; }

.stretch-content { 
  padding: 0 0px; /*0 3 */
  white-space: pre-wrap; 
/*   margin-right:-6px;  -6 */
   -webkit-animation: revealcontent .4s ease 1 running;
   animation: revealcontent .4s ease 1 running;
   opacity:1;
}

@-webkit-keyframes revealcontent {
  0%  {opacity:0;} 100.0% {opacity:1;}
}
@keyframes revealcontent {
  0%  {opacity:0;} 100.0% {opacity:1;}
}

</pre>

\define cont() $(content)$

\define stretch(label, restornothing, content)
<$vars restornothing="""$restornothing$""" content="""$content$""">
<$set name="contentToReveal" filter="[<content>regexp[^$]]"
          value=<<restornothing>> emptyValue=<<content>>>
<$set name="rest" filter="[<content>regexp[^$]]"
          value="" emptyValue=<<restornothing>>>
<$set name="qualstate" value=<<qualify "$:/state/$label$">> >
   <$reveal type="nomatch" state=<<qualstate>> text="show" animate="yes">
      <$button set=<<qualstate>> setTo="show" class="stretch-closed" >
         <$list filter="[[$label$]splitbefore[_]removesuffix[_]] [[$label$]splitbefore[_]] +[first[]]" variable="lab"><<lab>></$list>
      </$button>"""<<rest>>"""
   </$reveal><$reveal type="match" state=<<qualstate>> text="show" animate="yes">
      <$button set=<<qualstate>> setTo="hide" class="stretch-open" >
         <$action-setfield $tiddler=<<qualstate>>/>
         <$list filter="[[$label$]splitbefore[_]removesuffix[_]] [[$label$]splitbefore[_]] +[first[]]" variable="lab"><<lab>></$list>
      </$button> """<<rest>>"""<span class="stretch-outline">
         <span class="stretch-content"><<contentToReveal>></span>
      </span></$reveal>
</$set>
</$set>
</$set>
</$vars>
\end

\define ref(content:"empty")
<$macrocall $name="strex" content="""$content$""" label="&#x200b;" start="start" end="&#x200b;" class="hint numbers"/> 
\end

\define strex(content:"TextStretch", label:"…", start:"[", end:"]", class:"", id:"_false_")
<$vars content="""$content$""" id="""$id$""">
<$set name="uid" filter="[<id>!prefix[_false_]]" value=<<id>> emptyValue=<<content>> >
<span class="strex-container $class$"><$macrocall $name="strexx" content=<<content>> label="""$label$""" start="""$start$""" end="""$end$""" class="""$class$""" uid=<<uid>>/></span>
</$set>
</$vars>
\end

\define strexx(content, label, start, end, class, uid)
<$set name="xuid" filter="[<uid>prefix[_false_]]" value="error: xuid hashing" emptyValue=<<HashStr """$uid$""">> >
<$macrocall $name="strexxx" content="""$content$""" label="""$label$""" start="""$start$""" end="""$end$""" class="""$class$""" xuid=<<xuid>>/>
</$set>
\end

\define strexxx(content, label, start, end, class, xuid)
<$vars content="""$content$""" label="""$label$""" start="""$start$""" end="""$end$""" class="""$class$""" xuid="""$xuid$""">
<$set name="qualstate" value=<<qualify "$:/state/strex_$xuid$_">> >
<$vars openclass="strex-open $class$" contentclass="strex-content $class$" startclass="strex-close strex-start $class$" endclass="strex-close strex-end $class$">
<$reveal type="nomatch" state=<<qualstate>> text="visible" animate="yes"><$button set=<<qualstate>> setTo="visible" class=<<openclass>> tooltip="show text part"><<label>></$button></$reveal><$reveal type="match" state=<<qualstate>> text="visible" animate="yes">
<span class="strex-all $class$"><span class="strex-inner $class$"><$button class=<<startclass>> tooltip="hide text part">$start$<$action-deletetiddler $tiddler=<<qualstate>>/></$button><span class=<<contentclass>> > <<content>> </span></span><$button class=<<endclass>> tooltip="hide text part">$end$<$action-deletetiddler $tiddler=<<qualstate>>/></$button></span></$reveal>
</$vars>
</$set>
</$vars>
\end

<!-- step 1 (x): check for id, replace with content if param is empty -->
<!-- step 2 (xx): hash id -->
<!-- step 3 (xxx): generate output, use state with hashed id -->

/* strex standard styling */

.strex-container, .strex-container .tc-reveal, .strex-all {
   position:relative;
}

.strex-open, .strex-start, .strex-end {
  color: <<colour tiddler-link-foreground>>;
  padding: 0 6px 3px 6px;
  line-height: 96%;
  background-color: #f0f0f0;
  border: 1px solid lightgray; 
}

.strex-open:hover, .strex-start:hover, .strex-end:hover {
  border: 1px solid black; 
}

.strex-open:active, .strex-start:active, .strex-end:active, 
.strex-open:focus, .strex-start:focus, .strex-end:focus {
  border: 1px solid lightgray; 
}

.strex-content .tc-reveal .strex-close {
  color: <<colour foreground>>;
}

.strex-content { 
  color: #561715;
  display:inline;
  -webkit-animation: expandtext 1s ease 0s running;
  animation-name: expandtext;
  animation-duration: 1s;
  animation-timing-function: ease;
  animation-delay: 0s;
  animation-iteration-count: 1;
  animation-direction: normal;
}
.strex-content .tc-reveal .strex-content { 
  color: #766;
}


/* * * * * * * * * * * *
** Footnotes with Numbers
* * * * * * * * * * * * */

body {
   counter-reset: notenr;  /* set counter to 0 */
}
div .tc-tiddler-frame {
   counter-reset: tidnotenr;
}
.strex-container.storynumbers {
   counter-increment: notenr; /* counter +1 */
}
.strex-container.numbers {
   counter-increment: tidnotenr;
}
button.strex-open.storynumbers::before, 
button.strex-start.storynumbers::before {
   content: counter(notenr); /* Display the counter */
   font-size: xx-small;
   vertical-align: top;
}
button.strex-end.storynumbers::after {
   content: counter(notenr);
   font-size: xx-small;
   vertical-align: top;
}
button.strex-open.numbers::before, 
button.strex-start.numbers::before {
   content: counter(tidnotenr);
}
button.strex-end.numbers::after {
   content: counter(tidnotenr);
}


/* Footer Collection as Numbered List `<ol>` */

.footnotes p ol {
    list-style-type: none;
    margin: 0;
    padding: 0;
    counter-reset: li-counter;
}

.footnotes p ol span > li {
   position: relative;
   margin-bottom: 0.6em;
   margin-left: 2.25rem;
   padding: 0.2em;
   background-color: <<colour sidebar-tab-background-selected>>;
   min-height: 2.1em;
}

.footnotes p ol span > li:before {
   position: absolute;
   top: 0;
   width: 1.75rem;
   height: 1.75rem;
   font-size: 0.75rem;
   line-height: 1;
   text-align: right;
   color: <<colour sidebar-tab-foreground>>;
   background-color: <<colour sidebar-tab-background>>;
   content: counter(li-counter);
   counter-increment: li-counter;
   padding: 0.1em 0.2em 0.2em 0.1em;
   margin-left: -2.5rem;
}


/* * * * * * * * * * * *
** Special Styles
* * * * * * * * * * * * */

/* hidden parts */

.strex-content.nocontent, .strex-start.nostart, .strex-end.noend, .strex-close.noclose {
  display: none;
}


/* standard text color */

.strex-content.standardcolor {
  color: <<colour foreground>>;
}

/* block */

.strex-content.block, .strex-inner.blockinner, 
.strex-container.blockcontainer {
   display: block;
}

/* hint */

.strex-inner.hint {
    position: absolute;
    min-width: 220px;
    background-color: rgb(252, 254, 211);
    border: 1px solid black;
    box-shadow: 5px 5px 10px #aaa;
    padding: 15px 13px 12px 15px;
    margin: 24px 0 0 -5px;
    z-index: 998;
}

.strexXX-inner.hint {
    display: block;
}
.strex-start.hint {
   letter-spacing: -0.5em;
   color: rgba(1,1,1,0) !important;
   background-color: transparent;
   border: 0;
   position: absolute;
   padding: 0 6px 3px;
   right: 10px;
   top: 5px;
}
.strex-inner.hint button::before {
   content: " &#215;";
   font-size: 1.2em;
   color: <<colour tiddler-link-foreground>>;
}
.strex-content.hint {
   padding-right: 10px;
}

/* note top right */

.strex-inner.note {
   background-color: rgb(252, 254, 211);
   border: 1px solid black;
   box-shadow: 5px 5px 10px #aaa;
   display: block;
   min-width: 220px;
   padding: 26px 10px 15px 15px;
   position: fixed;
   right: 5%;
   top: 5%;
   z-index: 998;
}
.strex-start.note {
   position: absolute;
   padding: 0 6px 3px;
   right: 5px;
   top: 5px;
}
.strex-content.note {
   padding-right: 10px;
}

/* note flex */

.strex-inner.noteflex {
   background-color: rgb(252, 254, 211);
   border: 1px solid black;
   box-shadow: 5px 5px 10px #aaa;
   display: flex;
   flex-flow: column wrap;
   min-width: 220px;
   padding: 10px 15px 15px 15px;
   position: fixed;
   right: 5%;
   top: 5%;
   z-index: 999;
   justify-content: center;
}
.strex-start.noteflex {
   display: flex;
   order: 2;
   margin: 10px auto 1px;
   order: 2;
   padding: 3px 10px 5px;
}
.strex-content.noteflex {
   display: flex;
   order: 1;
   margin-top: 8px;
   width: 100%;
}


/* * * * * * * * * * * *
** stretch animation
* * * * * * * * * * * * */

@keyframes expandtext {
  0% { 
      letter-spacing: -0.48em; 
      rotateY(88deg);
      opacity: 0;
  }
  70.0% {
      opacity: 0.35;
  }
  100.0% {
      letter-spacing: 0; 
      rotateY(0deg);
      opacity: 1;
  }
}

@-webkit-keyframes expandtext {
  0% { 
      letter-spacing: -0.48em; 
      rotateY(88deg);
      opacity: 0;
  }
  100.0% {
      letter-spacing: 0; 
      rotateY(0deg);
      opacity: 1;
  }
}

/*\
title: $:/core/modules/macros/HashStr.js
type: application/javascript
module-type: macro

Generate a numeric hash from a string
uses $:/core/modules/utils/utils.js
\*/

(function(){
   /*jslint node: true, browser: true */
   /*global $tw: false */
   "use strict";

/*
Information about this macro
*/
   exports.name = "HashStr";
   exports.params = [
      {name: "str"}
   ];

/*
Run the macro
*/
   exports.run = function(str) {
      var hash = $tw.utils.hashString(str);
      return hash;
   };
})();

Enable/disable editor toolbar ,,<$checkbox tiddler="$:/config/TextEditor/EnableToolbar" field="text" checked="yes" unchecked="no" default="yes"> <$link to="$:/config/TextEditor/EnableToolbar"></$link> </$checkbox>,,&nbsp;&nbsp;&nbsp;Toggle preview <$reveal state="$:/state/showeditpreview" type="nomatch" text="no">
<$button set="$:/state/showeditpreview" setTo="no" tooltip="Hide preview" class="tc-btn-invisible">{{$:/core/images/preview-open}}</$button>
</$reveal>
<$reveal state="$:/state/showeditpreview" type="match" text="no">
<$button set="$:/state/showeditpreview" setTo="yes" tooltip="Show preview" class="tc-btn-invisible">{{$:/core/images/preview-closed}}</$button>
</$reveal>

\define save_refresh()
<$action-sendmessage $message="tm-save-wiki"/>
<$action-sendmessage $message="tm-browser-refresh"/>
\end

<$reveal state="$:/config/Plugins/Disabled/$:/plugins/tongerner/toolbar" type="nomatch" text="no">
<$button set="$:/config/Plugins/Disabled/$:/plugins/tongerner/toolbar" setTo="no" tooltip="Enable toolbar" class="tc-btn-invisible" actions=<<save_refresh>>><$transclude tiddler="$:/plugins/tongerner/toolbar" subtiddler="$:/plugins/tongerner/toolbar/images/enable-toolbar"/>
</$button>
</$reveal>
<$reveal state="$:/config/Plugins/Disabled/$:/plugins/tongerner/toolbar" type="match" text="no">
<$button set="$:/config/Plugins/Disabled/$:/plugins/tongerner/toolbar" setTo="yes" tooltip="Disable toolbar" class="tc-btn-invisible" actions=<<save_refresh>>>{{$:/plugins/tongerner/toolbar/images/disable-toolbar}}
</$button>
</$reveal>

ProducerApproach

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$:/_ExcelImporter/ImportSpecifiers/Workbook 1

\define control-panel-button(class)
<$button to="$:/AdvancedSearch" tooltip={{$:/language/Buttons/AdvancedSearch/Hint}} aria-label={{$:/language/Buttons/AdvancedSearch/Caption}} class="""$(tv-config-toolbar-class)$ $class$""">
<$list filter="[<tv-config-toolbar-icons>prefix[yes]]">
{{$:/core/images/advanced-search-button}}
</$list>
<$list filter="[<tv-config-toolbar-text>prefix[yes]]">
<span class="tc-btn-text"><$text text={{$:/language/Buttons/AdvancedSearch/Caption}}/></span>
</$list>
</$button>
\end

<$list filter="[list[$:/StoryList]] +[field:title[$:/AdvancedSearch]]" emptyMessage=<<control-panel-button>>>
<<control-panel-button "tc-selected">>
</$list>

<$button message="tm-home" tooltip={{$:/language/Buttons/Home/Hint}} aria-label={{$:/language/Buttons/Home/Caption}} class=<<tv-config-toolbar-class>>>
<$list filter="[<tv-config-toolbar-icons>prefix[yes]]">
{{$:/core/images/home-button}}
</$list>
<$list filter="[<tv-config-toolbar-text>prefix[yes]]">
<span class="tc-btn-text"><$text text={{$:/language/Buttons/Home/Caption}}/></span>
</$list>
<$action-listops $tiddler="$:/core/ui/ViewTemplate/next" $field="tags" $filter="[[]]"/>
<$action-listops $tiddler="$:/core/ui/ViewTemplate/prev" $field="tags" $filter="[[]]"/>
</$button>

\define config-title()
$:/config/TopLeftBarButtons/Visibility/$(listItem)$
\end

<$view field="title"/>
<span class="tc-topbar tc-topbar-left">
<$list filter="[all[shadows+tiddlers]tag[$:/tags/TopLeftBar]!has[draft.of]]" variable="listItem">
<$reveal type="nomatch" state=<<config-title>> text="hide">
<$transclude tiddler=<<listItem>>/>
</$reveal>
</$list>
</span>

<$reveal state="$:/state/sidebar" type="match" text="yes">
<$button set="$:/state/sidebar" setTo="fluid-width" tooltip="Fluid-width" class="tc-btn-invisible">{{$:/core/images/right-arrow}}</$button>
</$reveal>

<$reveal state="$:/state/sidebar" type="match" text="fluid-width">
<$button set="$:/state/sidebar" setTo="no" tooltip={{$:/language/Buttons/HideSideBar/Hint}} aria-label={{$:/language/Buttons/HideSideBar/Caption}} class="tc-btn-invisible">{{$:/core/images/chevron-right}}</$button>
</$reveal>

<$reveal state="$:/state/sidebar" type="match" text="no">
<$button set="$:/state/sidebar" setTo="yes" tooltip={{$:/language/Buttons/ShowSideBar/Hint}} aria-label={{$:/language/Buttons/ShowSideBar/Caption}} class="tc-btn-invisible">{{$:/core/images/chevron-left}}</$button>
</$reveal>

<div class="tc-next" style="margin-left:-30px;margin-top:0px;">
<$list filter="[all[current]next[$:/StoryList]]">
<$link to={{!!title}}>
{{$:/core/images/down-arrow}}
</$link>
</$list>
</div>

<div class="tc-next" style="margin-left:-30px;margin-top:0px;">
<$list filter="[all[current]previous[$:/StoryList]]">
<$link to={{!!title}}>
{{$:/core/images/up-arrow}}
</$link>
</$list>
</div>

<$reveal type="nomatch" state=<<folded-state>> text="hide" tag="div" retain="yes" animate="yes">
<div class="tc-subtitle">
<$link to={{!!modifier}}>
<$view field="modifier"/>
</$link> <$view field="modified" format="date" template={{$:/language/Tiddler/DateFormat}}/>
</div>
</$reveal>

medium

web-action

\define TagGridMakeBasicButton(prefix)
<div 
    style='position:relative;'
>
<$button
    popup=<<qualify """$:/temp/popup/$prefix$$(RowTag)$$(ColumnTag)$""">>
    class='tc-btn-invisible'
    style='width:100%;height:100%'
>
    <$list
        filter='[[$prefix$]!prefix[columns]!prefix[rows]]'
        emptyMessage="""$(RowTag)$$(ColumnTag)$"""
    >
        <$count 
            filter="""$(InputTiddlerList)$ +[tag<RowTag>tag<ColumnTag>]"""
        />
    </$list>
</$button>
<$reveal
    type='popup'
    state=<<qualify """$:/temp/popup/$prefix$$(RowTag)$$(ColumnTag)$""">>
    class='tc-popup-keep'
>
    <div class='tc-drop-down' style='position:absolute;'>
        Tiddlers:
        <$list
            filter="""[[$prefix$]prefix[column]]"""
        >
            <$list
                filter="""$(InputTiddlerList)$ +[tag<ColumnTag>]"""
            >

            </$list>
        </$list>
        <$list
            filter="""[[$prefix$]prefix[rows]]"""
        >
            <$list
                filter="""$(InputTiddlerList)$ +[tag<RowTag>]"""
            >

            </$list>
        </$list>
        <$list
            filter="""$(InputTiddlerList)$ +[tag<RowTag>tag<ColumnTag>]"""
        >

        </$list>
        <hr>
        <$button
            class='tc-btn-invisible'
        >
            Open All
            <$list
                filter="""$(InputTiddlerList)$ +[tag<RowTag>tag<ColumnTag>]"""
            >
                <$action-navigate 
                    $to=<<currentTiddler>>
                />
            </$list>
        </$button>
        <hr>
        <$button
            class='tc-btn-invisible'
        >
            Make new tiddler with tags<br>
            <$list
                filter='[<RowTag>][<ColumnTag>]+[limit[1]]'
            >
                __<<currentTiddler>>__
                <$list
                    filter='[<currentTiddler>!prefix<ColumnTag>]'
                >
                    __<<ColumnTag>>__
                </$list>
            </$list>
            <$set
                name=TiddlerTags
                filter='[<RowTag>][<ColumnTag>]'
            >
                <$action-sendmessage 
                    $message="tm-new-tiddler" 
                    tags=<<TiddlerTags>>
                />
            </$set>
        </$button>
    </div>
</$reveal>
</div>
\end

\define TagGridCountTiddlers()
<$count 
    filter="""$(InputTiddlerList)$ +[tag<RowTag>tag<ColumnTag>]"""
/>
\end

\define TagGrid(RowFilter:"[!is[system]tags[]limit[5]]" ColumnFilter:"[!is[system]tags[]limit[5]]" InputTiddlers:"[!is[system]]" ShowColumnTitle:true UseTagPills:false class cells)
<$set 
    name=RowTagList 
    filter="""$RowFilter$"""
>
    <$set 
        name=ColumnTagList 
        filter="""$ColumnFilter$"""
    >
        <$set
            name=InputTiddlerList
            filter="""$InputTiddlers$"""
        >
            <table
                class="""$class$"""
            >
                <$list
                    filter='[[$ShowColumnTitle$]prefix[true]]'
                >
                    <tr>
                        <th>
                        </th>
                        <$list 
                            filter=<<ColumnTagList>>
                            variable=ColumnTag
                        >
                            <th>
                                <$list
                                    filter='[[$UseTagPills$]prefix[true]]'
                                    emptyMessage="""<<TagGridMakeBasicButton columns>>"""
                                >
                                    <$macrocall
                                        $name=tag
                                        tag=<<ColumnTag>>
                                    />
                                </$list>
                            </th>
                        </$list>
                    </tr>
                </$list>
                <$list 
                    filter=<<RowTagList>> 
                    variable=RowTag
                >
                    <tr>
                        <th>
                            <$list
                                filter='[[$UseTagPills$]prefix[true]]'
                                emptyMessage="""<<TagGridMakeBasicButton rows>>"""
                            >
                                <$macrocall
                                    $name=tag
                                    tag=<<RowTag>>
                                />
                            </$list>
                        </th>
                        <$list 
                            filter=<<ColumnTagList>> 
                            variable=ColumnTag
                        >
                            <td>
                                <$list 
                                    filter='[[$cells$]has[title]has[text]]'
                                    template="""$cells$"""
                                    emptyMessage=<<TagGridMakeBasicButton>>
                                />
                            </td>
                        </$list>
                    </tr>
                </$list>
            </table>
        </$set>
    </$set>
</$set>
\end

This is a macro that will display a grid showing tags on both the columns and rows.
Each cell in the grid is the number of tiddlers that have both the tag for the column and the tag for the row.
You can change what the cells display by using a template.

Macro Tiddler: [[$:/inmysocks/Macros/TagGridMacro]]

Other support tiddlers you may want:

<$list
    filter='[prefix[$:/inmysocks/Macros/TagGridMacro/]]'
>

</$list>

Usage:

```
<<TagGrid RowFilter:"[!is[system]limit[5]]" ColmunFilter:"[!is[system]limit[5]]" InputTiddlers:"[!is[system]]" ShowColumnTitle:true UseTagPills:false class:tag-grid-default cells:default>>
```

|!Name |!Description |
|`RowFilter` |This is a filter that determines which tags are used to make the rows of the table. Default: `[!is[system]limit[5]]` |
|`ColumnFilter` |This is a filter that determines which tags are used to make the columns of the table. Default: `[!is[system]limit[5]]` |
|`InputTiddlers` |This is a filter. Only tiddlers returned by this filter will be returned by the count in the table. If you use the `cells` parameter below than you will need to setup whatever is needed to make this parameter function in the template tiddler you create. Default: `[!is[system]]` |
|`ShowColumnTitle` |This sets if the tag names are listed on each column. The table can get very wide if this is true. Options are `true` and `false`. Default `true` |
|`UseTagPills` |This sets if the row and colmun headers show tag pills instead of just the name. This is false by default because if you have the same tag in both the columns and in the rows than both pills will show a dropdown when you click on one. Options are `true` and `false`. Default: `false` |
|`class` |This is an optional css class to be used by the table. No default. |
|`cells` |This is an optional name of a tiddler to use as a template in each cell. If nothing is given, it lists the number of tiddlers that have both the column and the row tags. No default value. |

It looks like this by default (click on a cell or colmun or row header to see what it does):

Code: `<<TagGrid>>`

<<TagGrid>>

And using tag pills:

Code: `<<TagGrid UseTagPills:true>>`

<<TagGrid UseTagPills:true>>

Using the [[CountButton|$:/inmysocks/Macros/TagGridMacro/BasicCount]] cell template (clicking on a cell does nothing):

Code: `<<TagGrid cells:"""$:/inmysocks/Macros/TagGridMacro/BasicCount""">>`

<<TagGrid cells:"""$:/inmysocks/Macros/TagGridMacro/BasicCount""">>

Using the [[BasicList|$:/inmysocks/Macros/TagGridMacro/BasicCount]] cell template:

Code: `<<TagGrid cells:"""$:/inmysocks/Macros/TagGridMacro/BasicList""">>`

<<TagGrid cells:"""$:/inmysocks/Macros/TagGridMacro/BasicList""">>

\define thisMakeButton()
<$count 
    filter="""$(InputTiddlerList)$ +[tag<RowTag>tag<ColumnTag>]"""
/>
\end

<div 
    style='position:relative;'
>
<<thisMakeButton>>
</div>

\define thisMakeButton()
<$list filter='$(InputTiddlerList)$ +[tag<RowTag>tag<ColumnTag>]'>
<$link><$view field='title'/></$link><br>
</$list>
\end

<div 
    style='position:relative;'
>
<<thisMakeButton>>
</div>

911sitenote

911-blogs

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$:/palettes/Bluish

: Shades of blue
blue11: #0044BB
blue10: #1755C1
blue09: #2E66C7
blue08: #4677CE
blue07: #5D88D4
blue06: #7499DA
blue05: #8BAAE0
blue04: #A2BBE6
blue03: #B9CCEC
blue02: #D1DDF3
blue01: #E8EEF9

: Other colors
blue: #006DEC
lightblue: #007DFF
darkblue: #000080
brown: #884411
black: #000000
white: #FFFFFF
red: #FF0000

: General
foreground: <<colour blue11>>
background: <<colour white>>
page background: #FAFBFD
muted-foreground: <<colour blue03>>
very-muted-foreground: #888888
primary: #5778d8
dirty-indicator: <<colour red>>

: Title
tiddler-title-foreground: <<colour foreground>>

: Tiddler
tiddler-background: #FEFEFE
tiddler-controls-foreground: <<colour blue02>>

: Buttons
tiddler-controls-foreground-hover: <<colour blue11>>
tiddler-controls-foreground-selected: <<colour blue11>>
sidebar-controls-foreground-hover: <<colour blue11>>
sidebar-controls-foreground: <<colour blue02>>
button-background: <<colour blue02>>
sidebar-button-foreground: <<colour blue11>>

: Close all + 'x'
sidebar-muted-foreground-hover: <<colour blue11>>

: Tags
tag-background: <<colour blue06>>

: Tabs
tab-foreground: <<colour foreground>>
tab-background: <<colour white>>
tab-border: <<colour blue02>>

tab-foreground-selected: <<colour foreground>>
tab-background-selected: <<colour blue02>>
tab-border-selected: <<colour blue04>>

tab-divider: <<colour blue02>>

untagged-background: <<colour blue06>>

{"tiddlers":{"$:/plugins/eucaly/popuptagger/config":{"_active":"on","created":"20140913215723814","creator":"EucalyJ","modified":"20140923134103805","modifier":"EucalyJ","tags":"$:/_popuptagger $:/_macros","title":"$:/plugins/eucaly/popuptagger/config","type":"text/vnd.tiddlywiki","text":"$:/plugins/eucaly/popuptagger/TagBar"},"$:/plugins/eucaly/popuptagger/ControlPage":{"created":"20140913163723059","creator":"EucalyJ","modified":"20140922055743981","modifier":"EucalyJ","tags":"$:/_macros $:/_popuptagger $:/_UI","title":"$:/plugins/eucaly/popuptagger/ControlPage","type":"text/vnd.tiddlywiki","text":"\\define if-match-else(A,B,C=\"\",D,E)\n<$reveal type=\"match\" state=\"$A$\" text=$B$ default=$C$>\n\t$D$\n</$reveal>\n<$reveal type=\"nomatch\" state=\"$A$\" text=$B$ default=$C$>\n\t$E$\n</$reveal>\n\\end\n\n\\define if-matchB-blank-default(A,B,C=\"\",D)\n<$reveal type=\"match\" state=\"$A$\" text=\"$B$\" default=\"\">\n\t$D$\n</$reveal>\n\\end\n\n* `**` In this tiddler, all PopupTagger(s) are displayed (view filters are ignored).\n\n<$reveal state=\"$:/plugins/eucaly/popuptagger/config!!_active\" type=\"nomatch\" text=\"off\" default=\"\">\n~PopupTagger ''Enabled''\n</$reveal>\n<$reveal state=\"$:/plugins/eucaly/popuptagger/config!!_active\" type=\"match\" text=\"off\" default=\"\">\n~PopupTagger `Disabled`\n</$reveal> <<PopupTaggerSwitch>>\n\n<h3> Available ~PopupTagger(s)</h3>\n<table>\n<tr align=\"center\">\n<th>Debug</th>\n<th>Active</th>\n<th>Tag<br/>Edit</th>\n<th>Tag<br/>Table</th>\n<th>Tag<br/>Bar</th>\n<th>\n\t<p>~PopupTagger(s) <$button message=\"tm-new-tiddler\" param=\"$:/plugins/eucaly/popuptagger/TagBar\">Add</$button></p>\n</th></tr>\n<$list filter=\"[all[shadows+tiddlers]tag[$:/tags/ViewTemplate]tag[$:/_popuptagger]]\" >\n<tr>\n\t<$list filter=\"_debug _active _edittag _tagtable _tagpopup\"] variable=\"field\">\n<td align=\"center\">\n\t\t<$checkbox field=<<field>> checked=\"on\" unchecked=\"off\" default=\"on\"/>\n</td>\n\t</$list>\n<td>\n\t<p><$radio tiddler=\"$:/plugins/eucaly/popuptagger/config\" value={{!!title}}/> <$link to={{!!title}}><$text text={{!!title}}/></$link>\n\t<$macrocall $name=\"if-matchB-blank-default\" \nA=\"$:/plugins/eucaly/popuptagger/config\" \nB={{!!title}}\nD=\"<br/>@@color:red;=>@@ Configure as below\" \n/>\n<$reveal type=\"nomatch\" state=\"$:/plugins/eucaly/popuptagger/config\" text={{!!title}} default=\"\">\n<br/>Parent Tags : ''<$view field=\"taggroup\"/>''\n<br/>View Filter : ''<$view field=\"view-filter\"/>''\n<br/>List After : ''<$view field=\"list-after\"/>''\n</$reveal>\n</p>\n</td></tr>\n</$list>\n</table><br/>\n\n<$list filter=\"[title{$:/plugins/eucaly/popuptagger/config}]\" >\n<h3> Configure ~PopupTagger -- [ <$text text={{!!title}}/> ]</h3>\n\n<ul>\n<li> Parent Tags : ''<$view field=\"taggroup\"/>''\n<$linkcatcher message=\"tm-navigate\" set=<<qualify $:/state/tab>> setTo=\"$:/plugins/eucaly/popuptagger/tab-taggroup\">\n\t<$button set=\"$:/temp/pptg-taggroup!!tags\" setTo={{!!taggroup}} to=<<InPlace>> >Verify</$button>\n</$linkcatcher>\n</li>\n<ul><li>\n\t<$reveal type=\"nomatch\" state=<<qualify $:/state/tab>> text=\"$:/plugins/eucaly/popuptagger/tab-taggroup\" default=\"\">\n\t\tconfig with <$button set=<<qualify $:/state/tab>> setTo=\"$:/plugins/eucaly/popuptagger/tab-taggroup\"> \n        Parent Tags </$button> tab below\n\t</$reveal>\n\t<$reveal type=\"match\" state=<<qualify $:/state/tab>> text=\"$:/plugins/eucaly/popuptagger/tab-taggroup\" default=\"\">\n\t\tnew value -- \n\t\t<<if-match-else \"!!taggroup\" {{$:/temp/pptg-taggroup!!tags}} {{!!taggroup}}\n\t\t\"@@color:blue;no changed@@ --\"\n\t\t\"\"\"@@color:blue;<$text text={{$:/temp/pptg-taggroup!!tags}}/>@@ --\n\t\t<$list filter=\"[{$:/temp/pptg-taggroup!!tags}regexp[\\S]first[]]\" variable=\"text1\">\t<!-- not empty -->\n\t\t\t<$button set=\"!!taggroup\" setTo={{$:/temp/pptg-taggroup!!tags}}>Proceed</$button>\n\t\t</$list>\n\t\t\"\"\">>\n\t</$reveal>\n</li></ul><br/>\n\n<li> View Filter : ''<$text text={{!!view-filter}}/>''\n<$linkcatcher message=\"tm-navigate\" set=<<qualify $:/state/tab>> setTo=\"$:/core/ui/AdvancedSearch/Filter\">\n\t<$button set=\"$:/temp/advancedsearch\" setTo={{!!view-filter}} to=<<InPlace>> >Verify</$button>\n</$linkcatcher>\n</li>\n<ul><li>\n\t<$reveal type=\"nomatch\" state=<<qualify $:/state/tab>> text=\"$:/core/ui/AdvancedSearch/Filter\" default=\"\">\n\t\tconfig and verify with <$button set=<<qualify $:/state/tab>> setTo=\"$:/core/ui/AdvancedSearch/Filter\"> \n        Filter </$button> tab below\n\t</$reveal>\n\t<$reveal type=\"match\" state=<<qualify $:/state/tab>> text=\"$:/core/ui/AdvancedSearch/Filter\" default=\"\">\n\t\tnew value -- \n\t\t<<if-match-else \"!!view-filter\" {{$:/temp/advancedsearch}} {{$(pptg-tool-base)$!!view-filter}} \n\t\t\"@@color:blue;no changed@@ --\"\n\t\t\"\"\"@@color:blue;{{$:/temp/advancedsearch}}@@ --\n\t\t<$list filter=\"[{$:/temp/advancedsearch}regexp[\\S]first[]]\" variable=\"text1\">\t<!-- not empty -->\n\t\t\t<$button set=\"!!view-filter\" setTo={{$:/temp/advancedsearch}}>Proceed</$button>\n\t\t</$list>        \n\t\t\"\"\">>\n\t</$reveal>\n</li></ul><br/>\n\n<li> Location -- list after :\n<$select field=\"list-after\" default=\"\">\n\t<$list filter=\"[all[shadows+tiddlers]tag[$:/tags/ViewTemplate]] -[[$(pptg-tool-base)$]]\">\n\t\t<option value=<<currentTiddler>>><$view field=\"title\"/></option>\n\t</$list>\n\t<option value=\"\">== none ==</option>\n</$select></li>\n</ul>\n</$list>\n<<tabs \"$:/plugins/eucaly/popuptagger/readme $:/plugins/eucaly/popuptagger/tab-taggroup $:/core/ui/AdvancedSearch/Filter\" \"$:/plugins/eucaly/popuptagger/readme\" \"$:/state/tab\">>"},"$:/plugins/eucaly/popuptagger/history":{"caption":"History","created":"20140905163101231","creator":"EucalyJ","lastupdate":"20141004","modified":"20141004021938843","modifier":"EucalyJ","tags":"$:/_readme $:/_popuptagger","title":"$:/plugins/eucaly/popuptagger/history","type":"text/vnd.tiddlywiki","text":"!!!History\n* 20141004 / ''0.1.4'' \n** add `Verify` button for Parent Tags in [[ControlPage|$:/plugins/eucaly/popuptagger/ControlPage]]\n** fix `New Tag` button when parent tag contains `!`\n* 20140921 / update icons\n* 20140914 / ''0.1.3'' ( 32K / 17.8K )\n** Global switch `<<PopupTaggerSwitch>>`\n** Reshape with central [[ControlPage|$:/plugins/eucaly/popuptagger/ControlPage]]\n** No need user-provided \"pptg-tool-base\"\n** ==== coding details ====\n** only necessary macros are global\n** `InPlace.js` -- extended from  TitleMe\n* 20140913 / ''0.1.2'' ( 24K / 11.4K ) -- for 5.0.17-beta ~\n** stylesheet tagged with {{$:/tags/Stylesheet||$:/core/ui/TagTemplate}}\n** sync ''~TagBar'' / ''~TagTable'' with the same column layout\n** add \"edit button\" for child tag\n** change to <$button to=\"\" class=<<tv-config-toolbar-class>>> {{$:/core/images/options-button}} </$button>  [[$:/core/images/options-button]]\n** show PopupTagger config in one place\n** ==== coding details ====\n** Change ButtonWidget `title` attribute to `tooltip`\n** reduce `<$list>` use\n** use `listItem` to detect body / tagbar\n** use `storyTiddler`, `transclusion`, `listItem` variable for debug\n* 20140908 / ''0.1.1'' ( 14.8K / 10.2K )\n** Add ''~TagTable''\n** `<<PopupTaggerAuto>>` provides handy setup process\n** Each element can be enabled / disabled\n* 20140906 / ''0.0.1'' ( 4.5K / 2.2K ) -- not released\n** `<<PopupTaggerBar>>` -- global for all tiddlers\n** `<<PopupTaggerBarIf>>` -- selective, but might need some tweak for filter setup\n* 20140905 -- working draft\n"},"$:/plugins/eucaly/popuptagger/icon":{"created":"20140921105653585","creator":"EucalyJ","modified":"20140921105712528","modifier":"EucalyJ","ref":"tagx3-ON.svg","tags":"$:/tags/Image $:/_popuptagger","title":"$:/plugins/eucaly/popuptagger/icon","type":"text/vnd.tiddlywiki","text":"<svg  class=\"tc-close-all-button tc-image-button\" width=\"22pt\" height=\"22pt\" viewBox=\"0 0 128 128\">\n\t<g transform=\"translate(0,-924.36)\">\n\t\t<path d=\"m115.92 980.32a4.0004 4.0004 0 0 0 -2.75 1.21l-60 60.07a4.0004 4.0004 0 0 0 -0.01 0c-1.774 1.8-5.403 3.1-9.16 3.1s-7.385-1.3-9.16-3.1a4.0004 4.0004 0 0 0 -0.01 0l-24-24a4.0004 4.0004 0 1 0 -5.6561 5.6l23.988 24c3.882 3.9 9.425 5.5 14.84 5.5s10.959-1.6 14.84-5.5l59.99-60.01a4.0004 4.0004 0 0 0 -2.91 -6.87z\"/>\n\t\t<path d=\"m115.92 998.36a4.0004 4.0004 0 0 0 -2.75 1.21l-43.998 44.03a4.0004 4.0004 0 1 0 5.656 5.6l44.002-44a4.0004 4.0004 0 0 0 -2.91 -6.84z\"/>\n\t\t<path d=\"m83.105 0.5c-3.975 0-7.795 1.5904-10.605 4.4004l-60.504 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$:/_popuptagger","title":"$:/plugins/eucaly/popuptagger/img/tagOff","type":"text/vnd.tiddlywiki","text":"<svg  class=\"tc-close-all-button tc-image-button\" width=\"22pt\" height=\"22pt\" viewBox=\"0 0 128 128\">\n\t<path d=\"M 79.105 4.5 C 75.131 4.5 71.312 6.0842 68.502 8.8945 L 12 65.395 C 6.2043 71.19 6.2043 80.814 12 86.609 L 41.395 115.99 C 47.19 121.79 56.81 121.79 62.605 115.99 L 119.1 59.504 C 121.91 56.694 123.5 52.873 123.5 48.896 L 123.5 30 L 123.5 19.504 C 123.5 11.309 116.69 4.5048 108.5 4.5039 L 98.154 4.5039 C 98.103 4.5036 98.052 4.5 98 4.5 C 97.948 4.5 97.897 4.5036 97.846 4.5039 L 79.107 4.5039 L 79.105 4.5 z M 98 19.5 C 103.86 19.5 108.45 24.071 108.5 29.92 L 108.5 30.08 C 108.45 35.929 103.86 40.5 98 40.5 C 92.112 40.5 87.5 35.888 87.5 30 C 87.5 24.112 92.112 19.5 98 19.5 z M 72.869 25.736 C 72.631 27.125 72.5 28.548 72.5 30 C 72.5 43.994 84.006 55.5 98 55.5 C 99.449 55.5 100.87 55.37 102.25 55.133 L 52 105.39 L 22.605 76.002 L 72.869 25.736 z \"/>\n</svg>\n\n"},"$:/plugins/eucaly/popuptagger/img/tagOn":{"created":"20140915084642817","creator":"EucalyJ","modified":"20140921105742282","modifier":"EucalyJ","ref":"tagx3-ON.svg","tags":"$:/tags/Image $:/_popuptagger","title":"$:/plugins/eucaly/popuptagger/img/tagOn","type":"text/vnd.tiddlywiki","text":"{{$:/plugins/eucaly/popuptagger/icon}}"},"$:/plugins/eucaly/popuptagger/inplace.js":{"created":"20140913152220978","creator":"EucalyJ","modified":"20140913154217527","modifier":"EucalyJ","module-type":"macro","tags":"$:/_js $:/_popuptagger","title":"$:/plugins/eucaly/popuptagger/inplace.js","type":"application/javascript","text":"/*\\\n$:/plugins/eucaly/popuptagger/inplace.js\ntype: application/javascript\nmodule-type: macro\n\n!!! Feature\nThis InPlace macro returns in-place field vaule of source tiddler (even in a transclude hierarchy)\n\n!!! Usage\n<<InPlace fieldName:\"title\">>\n* returns the field vaule of source tiddler\n* default field is title\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.name = \"InPlace\";\n\nexports.params = [{ name: \"fieldName\" }\n];\n\n/*\nRun the macro\n*/\nexports.run = function(fieldName) {\n    var output = \"\",\n\tvariable_name = \"transclusion\",\n    meRegex = /\\{[^|]*\\|([^|]*)\\|/,\n    p = this,\n    v0 = \"\";\n    while (p)\n    {\n        var v = p.getVariable(variable_name);\n\t\tif ( v && v!=v0 )\n        {\n        \tvar match = meRegex.exec(v);\n            if (match && match.length>1)\n            {\n\t\t\t\toutput = match[1];\n                if (fieldName)\n                {\nvar tiddler = this.wiki.getTiddler(output);\nif(tiddler) {\n\toutput = tiddler.getFieldString(fieldName);\n}\n                }\n                break;\n\t\t\t}\n\t\t}\n\t\tp = p.parentWidget;\n    }\n\treturn output;\n};\n\n})();"},"$:/plugins/eucaly/popuptagger/macros/auto":{"created":"20140907013822226","creator":"EucalyJ","modified":"20140914012228717","modifier":"EucalyJ","tags":"$:/_macros $:/_popuptagger","title":"$:/plugins/eucaly/popuptagger/macros/auto","type":"text/vnd.tiddlywiki","text":"\\define pptg-debug(src)\n<$reveal type=\"nomatch\" state=\"$(pptg-tool-base)$!!_debug\" text=\"off\" default=\"on\">\n^^<$link to=\"\" tooltip=<<TitleMe>> >me</$link>\n<$link to=\"\" tooltip=<<trace-variable \"storyTiddler\">> >story</$link>\n<$link to=\"\" tooltip=<<trace-variable \"currentTiddler\">> >current</$link>\n<$link to=\"\" tooltip=<<trace-variable \"transclusion\" \"<br/>\">> >trans</$link>\n<$link to=\"\" tooltip=<<trace-variable \"listItem\">> >listItem</$link>^^\n\t$src$ \n</$reveal>\n\\end\n\n\\define pptg-tagbar()\n<!-- is tool-base itself -->\n<$reveal type=\"match\" state=\"$(pptg-tool-base)$!!title\" text=<<storyTiddler>> default=\"\">\n\t<<pptg-debug \"\"\"@@color:orange;(21-tool-base)@@ ^^@@color:#860;<$text text=\"$(pptg-tool-base)$\">@@^^\"\"\">> \n\t<<PopupTagger>>\n</$reveal>\n<!-- NOT tool-base itself -->\n<$reveal type=\"nomatch\" state=\"$(pptg-tool-base)$!!title\" text=<<storyTiddler>> default=\"\">\n\t<<pptg-debug \"\"\"@@color:#080;(26-tagbar)@@ ^^<$text text=\"$(pptg-tool-base)$\">^^\"\"\">>\n\t<!-- if ControlPage -->\n\t<$reveal type=\"match\" state=\"!!title\" text=\"$:/plugins/eucaly/popuptagger/ControlPage\" default=\"\">\n\t\t<<PopupTagger>>\n\t</$reveal>\n\t<!-- normal tillders -->\n\t<$reveal type=\"nomatch\" state=\"!!title\" text=\"$:/plugins/eucaly/popuptagger/ControlPage\" default=\"\">\n\t\t<<PopupTaggerIf>>\n</$reveal></$reveal>\n\\end\n\n\\define pptg-body()\n<!-- is tool-base itself -->\n<$reveal type=\"match\" state=\"$(pptg-tool-base)$!!title\" text=<<storyTiddler>> default=\"\">\n<br/>\n\t<h3>This is a __~PopupTagger tiddler__, you can visit [[PopupTagger ControlPage|$:/plugins/eucaly/popuptagger/ControlPage]]  to check the configuration.</h3>\n</$reveal>\n<!-- NOT tool-base itself -->\n<$reveal type=\"nomatch\" state=\"$(pptg-tool-base)$!!title\" text=<<storyTiddler>> default=\"\">\n\t<<pptg-tool-base-warning>>\n</$reveal>\n\\end\n\n\\define pptg-tool-base-warning()\n<<pptg-debug \"@@color:red;(58-tool-base-warning)@@<br/>\">>\n@@color:red;There's something wrong with ~popupTagger ...@@\n<ul>\n<li>`pptg-tool-base` -- <<InPlace>></li>\n<li>while `new title` -- <<storyTiddler>></li>\n</ul>\n\\end"},"$:/plugins/eucaly/popuptagger/macros/render":{"created":"20140914011146334","creator":"EucalyJ","modified":"20141004020308447","modifier":"EucalyJ","tags":"$:/_macros $:/_popuptagger","title":"$:/plugins/eucaly/popuptagger/macros/render","type":"text/vnd.tiddlywiki","text":"\\define pptg-tagPopup()\n<$button popup=<<qualify $:/temp/$(tagG)$>> tooltip=\"Select tags\" class=\"tc-btn-invisible\">\n    ▼ $(tagG)$</$button>\n<$reveal type=popup state=<<qualify $:/temp/$(tagG)$>> >\n\t<div class=\"tc-popup tc-tiddler-info\">\n\t\t<<pptg-tagColumn>>\n\t</div>\n</$reveal>\n\\end\n\n\\define pptg-tagColumn()\n<!-- cannot use {{$(tagG)$||$:/core/ui/TagTemplate}} here, because of popup conflict -->\n<p>$(tagG)$ ( <$count filter=\"[[$(tagG)$]tagging[]!prefix[$:/temp]!has[draft.of]]\"/> )</p>\n<hr/>\n<p><$list filter=\"[tag[$(tagG)$]!prefix[$:/temp]!has[draft.of]sort[]]\" variable=\"tagA\">\n\t<$button message=\"tm-edit-tiddler\" param=<<tagA>> class=<<tv-config-toolbar-class>>>\n\t\t{{$:/core/images/edit-button}}</$button>\n\t<$checkbox tiddler=\"$(currentTiddler)$\" tag=<<tagA>>> <<tagA>></$checkbox><br/> \n</$list>\n<$list filter=\"[[$(tagG)$]regexp:title[!]]\" variable=\"test3\" emptyMessage=\"\"\"<$button set=\"new $(tagG)$ tag!!tags\" setTo=\"$(tagG)$\">New Tag</$button>\"\"\">\n<$button set=\"new tag!!tags\" setTo=\"$(tagG)$\">New Tag</$button>\n</$list></p>\n\\end\n\n\\define pptg-render()\n<div class=\"tc-popuptagger\">\n<!-- TagBar itself -->\n\t<$reveal type=\"match\" state=\"$(pptg-tool-base)$!!title\" text={{!!title}} default=\"\">\n\t\t@@color:red;=>@@\n\t</$reveal>\n<!-- in ControlPage & TagBar is selected -->\n\t<$reveal type=\"match\" state=\"$:/plugins/eucaly/popuptagger/ControlPage!!title\" text=<<storyTiddler>> default=\"\">\n\t\t<$reveal type=\"match\" state=\"$:/plugins/eucaly/popuptagger/config\" text=\"$(pptg-tool-base)$\" default=\"\">\n\t\t\t@@color:red;=>@@\n\t</$reveal></$reveal>    \n<$reveal type=\"nomatch\" state=\"$(pptg-tool-base)$!!_active\" text=\"off\" default=\"on\">\n\t<$linkcatcher message=\"tm-navigate\" set=\"$:/plugins/eucaly/popuptagger/config\" setTo=<<InPlace>> >\n\t<$button to=\"$:/plugins/eucaly/popuptagger/ControlPage\" tooltip=\"Config PopupTagger - $(pptg-tool-base)$\" class=<<tv-config-toolbar-class>> >\n\t\t{{$:/core/images/options-button}}</$button>\n\t</$linkcatcher>\n\t<$reveal type=\"nomatch\" state=\"$(pptg-tool-base)$!!_edittag\" text=\"off\" default=\"on\">\n\t\t<$reveal type=\"nomatch\" state=\"$:/state/popuptagger/EditTags\" text=<<qualify $:/temp/EditTags>> default=\"\">\n\t\t\t<$button set=\"$:/state/popuptagger/EditTags\" setTo=<<qualify $:/temp/EditTags>> tooltip=\"Edit tags\">Edit Tags</$button>\n\t\t</$reveal>\n\t\t<$reveal type=\"match\" state=\"$:/state/popuptagger/EditTags\" text=<<qualify $:/temp/EditTags>> default=\"\">\n\t\t\t<$button tooltip=\"Hide tags\" set=\"$:/state/popuptagger/EditTags\" setTo=\"\">Hide Tags</$button>\n\t\t</$reveal>\n\t\t/\n\t</$reveal>\n\t<$reveal type=\"nomatch\" state=\"$(pptg-tool-base)$!!_tagtable\" text=\"off\" default=\"on\">\n\t\t<<pptg-tagTable>>\n\t</$reveal>\n\t<$reveal type=\"nomatch\" state=\"$(pptg-tool-base)$!!_tagpopup\" text=\"off\" default=\"on\">\n\t\t<$list filter=<<InPlace \"taggroup\">> variable=\"tagG\">\n\t\t\t<<pptg-tagPopup>>\n\t\t</$list>\n\t</$reveal>\n\t<$reveal type=\"nomatch\" state=\"$(pptg-tool-base)$!!_edittag\" text=\"off\" default=\"on\">\n\t\t<$reveal type=\"match\" state=\"$:/state/popuptagger/EditTags\" text=<<qualify $:/temp/EditTags>> default=\"\">\n\t\t\t<p><$edit field=\"tags\"/></p>\n\t</$reveal></$reveal>\n</$reveal>\n</div>\n\\end\n\n\\define pptg-tagTable()\n<$reveal type=popup state=<<qualify $:/temp/tagTable>> >\n<div class=\"tc-popup tc-tiddler-info\">\n\t<table><tr valign=\"top\">\n\t\t<$list filter=<<InPlace \"taggroup\">> variable=\"tagG\">\n\t\t\t<td><<pptg-tagColumn>></td>\n\t\t</$list>\n\t</tr></table>\n</div></$reveal> \n<$button popup=<<qualify $:/temp/tagTable>> tooltip=\"Tag Table\">Tag Table</$button>\n\\end"},"$:/plugins/eucaly/popuptagger/macros":{"created":"20140905060129591","creator":"EucalyJ","modified":"20140914024929144","modifier":"EucalyJ","tags":"$:/_macros $:/_popuptagger $:/tags/Macro","title":"$:/plugins/eucaly/popuptagger/macros","type":"text/vnd.tiddlywiki","text":"\\define PopupTagger()\n<$reveal state=\"$:/plugins/eucaly/popuptagger/config!!_active\" type=\"nomatch\" text=\"off\" default=\"\">\n<$importvariables filter=\"[all[shadows+tiddlers]prefix[$:/plugins/eucaly/popuptagger/macros/]]\">\n<$set name=\"pptg-tool-base\" value=<<InPlace>> >\n\t<<pptg-render>>\n</$set>\n</$importvariables>\n</$reveal>\n\\end\n\n\\define PopupTaggerIf()\n<$list filter=<<InPlace \"view-filter\">> variable=\"t1\">\n<$list filter=\"[<t1>is[current]!has[draft.of]first[]]\" variable=\"t2\">\n\t<<PopupTagger>>\n</$list></$list>\n\\end\n\n\\define PopupTaggerAuto()\n<$importvariables filter=\"[all[shadows+tiddlers]prefix[$:/plugins/eucaly/popuptagger/macros/]]\">\n<$set name=\"pptg-tool-base\" value=<<InPlace>> >\n<$list filter=\"[title<InPlace>!field:title<listItem>]\" variable=\"test14\">\n<div class=\"tc-popuptagger-body\">\t<!-- body only -->\n\t<<pptg-debug \"@@color:#080;(09-body-only)@@\">>\n\t<<pptg-body>>\n</div>\n</$list>\n\n<$list filter=\"[title<InPlace>field:title<listItem>]\" variable=\"test23\">\n<div class=\"tc-popuptagger\">\t\t<!-- tagbar only -->\n\t<<pptg-debug \"@@color:orange;(13-tagbar-only)@@\">>\n\t<<pptg-tagbar>>\n</div>\n</$list>\n</$set>\n</$importvariables>\n\\end\n\n\\define PopupTaggerSwitch()\n<span class=\"tc-popuptagger-switch\">\n<$reveal state=\"$:/plugins/eucaly/popuptagger/config!!_active\" type=\"nomatch\" text=\"off\" default=\"\">\n<$button set=\"$:/plugins/eucaly/popuptagger/config!!_active\" setTo=\"off\" tooltip=\"Hide PopupTagger\" class=<<tv-config-toolbar-class>> >{{$:/plugins/eucaly/popuptagger/img/tagOn}}</$button>\n</$reveal>\n<$reveal state=\"$:/plugins/eucaly/popuptagger/config!!_active\" type=\"match\" text=\"off\" default=\"\">\n<$button set=\"$:/plugins/eucaly/popuptagger/config!!_active\" setTo=\"on\" tooltip=\"Show PopupTagger\" class=<<tv-config-toolbar-class>> >{{$:/plugins/eucaly/popuptagger/img/tagOff}}</$button>\n</$reveal>\n</span>\n\\end\n"},"$:/plugins/eucaly/popuptagger/readme":{"caption":"~PopupTagger","created":"20140905151516651","creator":"EucalyJ","lastupdate":"20141004","modified":"20141004021911667","modifier":"EucalyJ","tags":"$:/_readme $:/_popuptagger","title":"$:/plugins/eucaly/popuptagger/readme","type":"text/vnd.tiddlywiki","text":"!![[PopupTagger Plugin|$:/plugins/eucaly/popuptagger/readme]]\n<hr>\n\nThis ''PopupTagger'' plugin provides ''~TagTable'' and ''~TagBar with popup list of tags'' for [[TiddlyWiki 5|http://tiddlywiki.com/]]. \n<p>** Inspired by [[MonkeyTaggerMacro|http://tiddlywiki.squize.org/#MonkeyTaggerMacro]] (~TiddlyWiki classic)</p>\n\n!!!Features\n\n# ''~TagBar'' with ''popup list of tags''\n# ''~TagTable'' for quick tagging \n# ''~TagEdit'' enables ''tag editing'' as in ~TiddlyWiki classic\n# Shortcut <$button class=<<tv-config-toolbar-class>>> {{$:/core/images/options-button}}</$button> for ''~PopupTagger'' setting\n# ''Global switch'' `<<PopupTaggerSwitch>>` <<PopupTaggerSwitch>>\n# ''Handy setup process'' -- central [[ControlPage|$:/plugins/eucaly/popuptagger/ControlPage]]\n#* Each element can be enabled / disabled\n#* ''Custom parent tags'' to generate ''~TagBar'' and ''~TagTable''\n#* ~PopupTagger could be ''selectively available'' for certain tiddlers only -- thanks to `<$list>` filter\n#* ''Custom ~PopupTagger location'' -- thanks to `list-after` field\n# ** all above tag operations is ''real-time'' in ''View Mode''\n\n!!!Install\n* Drag&Drop package -- [[$:/plugins/eucaly/popuptagger]] (with documentation)<!--, or\n* Drag&Drop the macros <$list filter=\"[all[shadows+tiddlers]tag[$:/_macros]tag[$:/_popuptagger]!has[draft.of]sort[]]\">\n\n* <$link to={{!!title}}>{{!!title}}</$link>\n</$list>-->\n\n!!!Usage\n\n* You may start with some tag trees like :\n<<<\n{{$:/plugins/eucaly/popuptagger/img/tag-tree.png}}\n<<<\n# Goto central [[ControlPage|$:/plugins/eucaly/popuptagger/ControlPage]] ( [[$:/plugins/eucaly/popuptagger/ControlPage]] )\n# Check for available ~PopupTagger, or\n# Press `Add` button\n#* Rename the new ~PopupTagger tiddler, in order not to overwrite the [[PopupTagger template|$:/plugins/eucaly/popuptagger/TagBar]]\n#* ~~Modify `\\define pptg-tool-base()` macro definition to sync with the new title~~\n#* ~~In addition to that,~~ please keep `<<PopupTaggerAuto>>` macro call there.\n# Follow the `Configure` section provided in [[ControlPage|$:/plugins/eucaly/popuptagger/ControlPage]]\n# ''Global switch'' `<<PopupTaggerSwitch>>` <<PopupTaggerSwitch>> is available in [[ControlPage|$:/plugins/eucaly/popuptagger/ControlPage]], and can be added to else where as you like.\n* ** If you like to conduct a ''manual setup'', you may try `<<PopupTagger>>` or `<<PopupTaggerIf>>` macro call, instead of `<<xxxAuto>>`\n\n!!!Filter Example\n\n| <p>[tag[`$:/_readme`]] [tag[`$:/_UI`]]</p> |tagged `$:/_readme` or `$:/_UI` |\n| <p>[tag[`$:/_macros`]tag[`$:/_popuptagger`]]</p> |tagged `$:/_macros` and `$:/_popuptagger` |\n| <p>[creator/`eucaly`/(i)]</p> |with creator name contains `eucaly` |\n\n"},"$:/plugins/eucaly/popuptagger/StyleSheet":{"created":"20140906125324508","creator":"EucalyJ","modified":"20140912233930702","modifier":"EucalyJ","tags":"$:/tags/Stylesheet $:/_popuptagger $:/_macros","title":"$:/plugins/eucaly/popuptagger/StyleSheet","type":"text/css","text":".tc-popuptagger\n{\n\tbackground-color: #eee;\n}\n\n.tc-tiddler-body .tc-popuptagger\n{\n\tdisplay:none;\n}\n\n.tc-popuptagger-body\n{\n\tdisplay:none;\n}\n\n.tc-tiddler-body .tc-popuptagger-body\n{\n\tdisplay:inline;\n}\n\n.tc-popuptagger-body input\n{\n\twidth: 60%\n}\n\n.tc-popuptagger-checked\n{\n\tbackground-color: #8f8;\n}"},"$:/plugins/eucaly/popuptagger/tab-taggroup":{"caption":"Parent Tags","created":"20140907071901381","creator":"EucalyJ","modified":"20140914012411928","modifier":"EucalyJ","tags":"$:/_macros $:/_popuptagger","title":"$:/plugins/eucaly/popuptagger/tab-taggroup","type":"text/vnd.tiddlywiki","text":"!!!!Parent Tags \n\n<table>\n\t<$list filter=\"[all[shadows+tiddlers]tags[]tags[]]\">\n\t\t<tr>\n\t\t<td><$checkbox tiddler=\"$:/temp/pptg-taggroup\" tag={{!!title}}/></td>\n\t\t<td align=\"left\">{{!!title}}\n        ( <$count filter=\"[{!!title}tagging[]!prefix[$:/temp]!has[draft.of]]\"/> )</td>\n\t\t</tr>\n\t</$list>\n</table>\n\nor edit in below -- <$button set=\"$:/temp/pptg-taggroup!!tags\" setTo=\"\">Clear</$button>\n{{$:/temp/pptg-taggroup||$:/core/ui/EditTemplate/tags}}\n<$edit tiddler=\"$:/temp/pptg-taggroup\" field=\"tags\"/>\n\nIf below result looks OK, please press `Proceed` above.\n<table><tr valign=\"top\">\n\t<$list filter=\"[list[$:/temp/pptg-taggroup!!tags]]\">\n\t\t<td><p>''{{!!title}}'' ( <$count filter=\"[{!!title}tagging[]!prefix[$:/temp]]\"/> )</p>\n\t\t\t<$list filter=\"[{!!title}tagging[]!prefix[$:/temp]sort[]]\">\n\t\t\t\t{{!!title}}<br/>\n\t\t\t</$list></td>\n\t</$list>\n</tr></table>"},"$:/plugins/eucaly/popuptagger/TagBar":{"_active":"on","_debug":"off","_edittag":"on","_tagpopup":"off","_tagtable":"on","created":"20140905024853346","creator":"EucalyJ","list-after":"$:/core/ui/ViewTemplate/tags","modified":"20140921091502881","modifier":"EucalyJ","taggroup":"$:/plugins/eucaly $:/_doc-type $:/_doc-edition toc","tags":"$:/tags/ViewTemplate $:/_UI $:/_popuptagger $:/_macros","title":"$:/plugins/eucaly/popuptagger/TagBar","type":"text/vnd.tiddlywiki","view-filter":"[all[tiddlers+shadows]regexp:creator[eucaly(?i)]]","text":"<<PopupTaggerAuto>>"}}}

\define if-match-else(A,B,C="",D,E)
<$reveal type="match" state="$A$" text=$B$ default=$C$>
	$D$
</$reveal>
<$reveal type="nomatch" state="$A$" text=$B$ default=$C$>
	$E$
</$reveal>
\end

\define if-matchB-blank-default(A,B,C="",D)
<$reveal type="match" state="$A$" text="$B$" default="">
	$D$
</$reveal>
\end

* `**` In this tiddler, all PopupTagger(s) are displayed (view filters are ignored).

<$reveal state="$:/plugins/eucaly/popuptagger/config!!_active" type="nomatch" text="off" default="">
~PopupTagger ''Enabled''
</$reveal>
<$reveal state="$:/plugins/eucaly/popuptagger/config!!_active" type="match" text="off" default="">
~PopupTagger `Disabled`
</$reveal> <<PopupTaggerSwitch>>

<h3> Available ~PopupTagger(s)</h3>
<table>
<tr align="center">
<th>Debug</th>
<th>Active</th>
<th>Tag<br/>Edit</th>
<th>Tag<br/>Table</th>
<th>Tag<br/>Bar</th>
<th>
	<p>~PopupTagger(s) <$button message="tm-new-tiddler" param="$:/plugins/eucaly/popuptagger/TagBar">Add</$button></p>
</th></tr>
<$list filter="[all[shadows+tiddlers]tag[$:/tags/ViewTemplate]tag[$:/_popuptagger]]" >
<tr>
	<$list filter="_debug _active _edittag _tagtable _tagpopup"] variable="field">
<td align="center">
		<$checkbox field=<<field>> checked="on" unchecked="off" default="on"/>
</td>
	</$list>
<td>
	<p><$radio tiddler="$:/plugins/eucaly/popuptagger/config" value={{!!title}}/> <$link to={{!!title}}><$text text={{!!title}}/></$link>
	<$macrocall $name="if-matchB-blank-default" 
A="$:/plugins/eucaly/popuptagger/config" 
B={{!!title}}
D="<br/>@@color:red;=>@@ Configure as below" 
/>
<$reveal type="nomatch" state="$:/plugins/eucaly/popuptagger/config" text={{!!title}} default="">
<br/>Parent Tags : ''<$view field="taggroup"/>''
<br/>View Filter : ''<$view field="view-filter"/>''
<br/>List After : ''<$view field="list-after"/>''
</$reveal>
</p>
</td></tr>
</$list>
</table><br/>

<$list filter="[title{$:/plugins/eucaly/popuptagger/config}]" >
<h3> Configure ~PopupTagger -- [ <$text text={{!!title}}/> ]</h3>

<ul>
<li> Parent Tags : ''<$view field="taggroup"/>''
<$linkcatcher message="tm-navigate" set=<<qualify $:/state/tab>> setTo="$:/plugins/eucaly/popuptagger/tab-taggroup">
	<$button set="$:/temp/pptg-taggroup!!tags" setTo={{!!taggroup}} to=<<InPlace>> >Verify</$button>
</$linkcatcher>
</li>
<ul><li>
	<$reveal type="nomatch" state=<<qualify $:/state/tab>> text="$:/plugins/eucaly/popuptagger/tab-taggroup" default="">
		config with <$button set=<<qualify $:/state/tab>> setTo="$:/plugins/eucaly/popuptagger/tab-taggroup"> 
        Parent Tags </$button> tab below
	</$reveal>
	<$reveal type="match" state=<<qualify $:/state/tab>> text="$:/plugins/eucaly/popuptagger/tab-taggroup" default="">
		new value -- 
		<<if-match-else "!!taggroup" {{$:/temp/pptg-taggroup!!tags}} {{!!taggroup}}
		"@@color:blue;no changed@@ --"
		"""@@color:blue;<$text text={{$:/temp/pptg-taggroup!!tags}}/>@@ --
		<$list filter="[{$:/temp/pptg-taggroup!!tags}regexp[\S]first[]]" variable="text1">	<!-- not empty -->
			<$button set="!!taggroup" setTo={{$:/temp/pptg-taggroup!!tags}}>Proceed</$button>
		</$list>
		""">>
	</$reveal>
</li></ul><br/>

<li> View Filter : ''<$text text={{!!view-filter}}/>''
<$linkcatcher message="tm-navigate" set=<<qualify $:/state/tab>> setTo="$:/core/ui/AdvancedSearch/Filter">
	<$button set="$:/temp/advancedsearch" setTo={{!!view-filter}} to=<<InPlace>> >Verify</$button>
</$linkcatcher>
</li>
<ul><li>
	<$reveal type="nomatch" state=<<qualify $:/state/tab>> text="$:/core/ui/AdvancedSearch/Filter" default="">
		config and verify with <$button set=<<qualify $:/state/tab>> setTo="$:/core/ui/AdvancedSearch/Filter"> 
        Filter </$button> tab below
	</$reveal>
	<$reveal type="match" state=<<qualify $:/state/tab>> text="$:/core/ui/AdvancedSearch/Filter" default="">
		new value -- 
		<<if-match-else "!!view-filter" {{$:/temp/advancedsearch}} {{$(pptg-tool-base)$!!view-filter}} 
		"@@color:blue;no changed@@ --"
		"""@@color:blue;{{$:/temp/advancedsearch}}@@ --
		<$list filter="[{$:/temp/advancedsearch}regexp[\S]first[]]" variable="text1">	<!-- not empty -->
			<$button set="!!view-filter" setTo={{$:/temp/advancedsearch}}>Proceed</$button>
		</$list>        
		""">>
	</$reveal>
</li></ul><br/>

<li> Location -- list after :
<$select field="list-after" default="">
	<$list filter="[all[shadows+tiddlers]tag[$:/tags/ViewTemplate]] -[[$(pptg-tool-base)$]]">
		<option value=<<currentTiddler>>><$view field="title"/></option>
	</$list>
	<option value="">== none ==</option>
</$select></li>
</ul>
</$list>
<<tabs "$:/plugins/eucaly/popuptagger/readme $:/plugins/eucaly/popuptagger/tab-taggroup $:/core/ui/AdvancedSearch/Filter" "$:/plugins/eucaly/popuptagger/readme" "$:/state/tab">>

<<PopupTaggerAuto>>

<<PopupTaggerAuto>>

$:/plugins/eucaly/popuptagger/TagBar 1

{
    "tiddlers": {
        "ActionIncrementWidget": {
            "caption": "action-increment",
            "inc_field1": "0",
            "inc_field2": "pre-00000",
            "tags": "Widgets ActionWidgets",
            "title": "ActionIncrementWidget",
            "type": "text/vnd.tiddlywiki",
            "text": "! Introduction\n\nThe ''action-increment'' widget is an [[action widget|ActionWidgets]] that increments a value in a specified field of a tiddler. ActionWidgets are used within triggering widgets such as the ButtonWidget.\n\n! Content and Attributes\n\nThe ''action-increment'' widget is invisible. Any content within it is ignored.\n\n|!Attribute |!Description |\n|$tiddler |The title of the tiddler with the field to be incremented (if not provided defaults to the [[WidgetVariable: currentTiddler]] |\n|$field |Name of a field to increment (if not provided defaults to `inc_field`) |\n|$increment |The increment amount, this can be negative (if not provided defaults to 1) |\n|$length |(optional) The minimum length of the numeric output, if the output would be shorter than this value zero padding is used. |\n|$prefix |(optional) The prefix to append to the output. |\n|$initial |(optional) The inital value assumed if the field doesn't exist (if none is given 0 is assumed) |\n\n! Examples\n\nHere is an example of a button that increments the field `inc_field1` by 1 each time it is pressed.\n\n<$macrocall $name='wikitext-example-without-html'\nsrc='<$button>\n<$action-increment $field=inc_field1/>\nIncrement\n</$button>\nCurrent Value: {{!!inc_field1}}'/>\n\nHere is an example of a button that increments a value that uses a prefix and minimum length\n\n<$macrocall $name='wikitext-example-without-html'\nsrc='<$button>\n<$action-increment $field=inc_field2 $length=5 $prefix=\"pre-\"/>\nIncrement\n</$button>\nCurrent Value: {{!!inc_field2}}'/>\n\n"
        },
        "$:/plugins/inmysocks/MathyThing/action-increment.js": {
            "text": "/*\\\ntitle: $:/plugins/inmysocks/MathyThing/action-increment.js\ntype: application/javascript\nmodule-type: widget\n\nAction widget that increments a number in a field.\n\n\\*/\n\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar IncrementWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nIncrementWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nIncrementWidget.prototype.render = function(parent,nextSibling) {\n\tthis.computeAttributes();\n\tthis.execute();\n};\n\n/*\nCompute the internal state of the widget\n*/\nIncrementWidget.prototype.execute = function() {\n\tthis.actionTiddler = this.getAttribute(\"$tiddler\",this.getVariable(\"currentTiddler\"));\n\tthis.actionField = this.getAttribute(\"$field\",\"inc_field\");\n\tthis.actionIndex = this.getAttribute(\"$index\");\n\tthis.padLength = this.getAttribute(\"$length\",\"0\");\n\tthis.prefixValue = this.getAttribute(\"$prefix\")\n\tthis.initialValue = this.getAttribute(\"$initial\",\"0\")\n\n\tvar incVal = this.getAttribute(\"$increment\",1);\n\tvar tiddler = this.wiki.getTiddler(this.actionTiddler);\n\tvar fieldString = tiddler.getFieldString(this.actionField);\n\n\t//If there is no value in the field create the initial value, with a prefix and zero padding if needed.\n\tif(fieldString) {\n\t} else if(this.prefixValue) {\n\t\tif(this.padLength) {\n\t\t\tfieldString = this.prefixValue+$tw.utils.pad(this.initialValue,this.padLength);\n\t\t} else {\n\t\t\tfieldString = this.prefixValue+this.initialValue;\n\t\t}\n\t} else if(this.padLength) {\n\t\t\tfieldString = $tw.utils.pad(this.initialValue,this.padLength);\n\t} else {\n\t\t\tfieldString = this.initialValue;\n\t}\n\t\n\t//Get the current numeric value in the field by removing the prefix if one is given.\n\tif(this.prefixValue) {\n\t\tvar currentValue = fieldString.slice(this.prefixValue.length,fieldString.length);\n\t} else {\n\t\tvar currentValue = fieldString;\n\t}\n\n\t//If either the existing value or the increment value are not numbers leave the field alone, otherwise increment the value.\n\tif(!isNaN(parseFloat(currentValue)) && isFinite(currentValue) && !isNaN(parseFloat(incVal)) && isFinite(incVal)) { \n\t\tvar output = Number(currentValue) + Number(incVal);\n\t\tif(this.padLength) {\n\t\t\tthis.actionValue = $tw.utils.pad(output,this.padLength)\n\t\t} else {\n\t\t\tthis.actionValue = output;\n\t\t} \n\t\tif(this.prefixValue) {\n\t\t\tthis.actionValue = String(this.prefixValue)+String(this.actionValue);\n\t\t}\n\t} else {\n\t\tthis.actionValue = String(currentValue);\n\t}\n};\n\n/*\nRefresh the widget by ensuring our attributes are up to date\n*/\nIncrementWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes();\n\tif(changedAttributes[\"$tiddler\"] || changedAttributes[\"$field\"] || changedAttributes[\"$index\"] || changedAttributes[\"$increment\"] || changedAttributes[\"$length\"]) {\n\t\tthis.refreshSelf();\n\t\treturn true;\n\t}\n\treturn this.refreshChildren(changedTiddlers);\n};\n\n/*\nInvoke the action associated with this widget\n*/\nIncrementWidget.prototype.invokeAction = function(triggeringWidget,event) {\n\tif(typeof this.actionValue === \"string\") {\n\t\tthis.wiki.setText(this.actionTiddler,this.actionField,this.actionIndex,this.actionValue);\t\t\n\t}\n\treturn true; // Action was invoked\n};\n\nexports[\"action-increment\"] = IncrementWidget;\n\n})();",
            "title": "$:/plugins/inmysocks/MathyThing/action-increment.js",
            "type": "application/javascript",
            "module-type": "widget"
        },
        "$:/plugins/inymsocks/MathyThing/action-prodfield.js": {
            "text": "/*\\\ntitle: $:/plugins/inymsocks/MathyThing/action-prodfield.js\ntype: application/javascript\nmodule-type: widget\n\nMultiply the values in a specified field and store the result in another field\n\n<$prodfield filter='[tag[prod]]' prodfield='prod_field' storefield='store_field'/>\n\nThis is an edited version of the list widget from TiddlyWiki5\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar ActionProdFieldWidget = function(parseTreeNode,options) {\n\t// Main initialisation inherited from widget.js\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nActionProdFieldWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nActionProdFieldWidget.prototype.render = function(parent,nextSibling) {\n\tthis.computeAttributes();\n\tthis.execute();\n};\n\n/*\nCompute the internal state of the widget\n*/\nActionProdFieldWidget.prototype.execute = function() {\n\t// Get attributes\n\tthis.actionTiddler = this.getAttribute(\"$tiddler\",this.getVariable(\"currentTiddler\"));\n\tthis.prodField = this.getAttribute(\"$prodfield\");\n\tthis.storeField = this.getAttribute(\"$storefield\",\"store_field\");\n\tthis.storeIndex = this.getAttribute(\"$index\");\n\tthis.defaultValue = this.getAttribute(\"$defaultvalue\",0);\n\t// Compose the list elements\n\tthis.list = this.getTiddlerList();\n\t// Get current value\n\tthis.storetiddler = this.wiki.getTiddler(this.actionTiddler);\n\tvar currentState = this.storetiddler.getFieldString(this.storeField);\n\t// Check for an empty list, if the list isn't empty compute the product\n\tif(this.list.length === 0) {\n\t\toutput = this.defaultValue; //return the default value when there is nothing to product, if it isn't set than return 0\n\t} else {\n\t\tvar output = 1;\n\t\tfor (var i = 0; i < this.list.length; i++) {\n\t\t\tvar tidtitle = this.list[i];\n\t\t\tvar tiddler = this.wiki.getTiddler(tidtitle);\n\t\t\t// check to make sure that the field contains a number before using it in the product\n\t\t\tif ( !isNaN(parseFloat(tiddler.getFieldString(this.prodField))) && isFinite(tiddler.getFieldString(this.prodField)) ) {\n\t\t\t\toutput = output * Number(tiddler.getFieldString(this.prodField));\n\t\t\t}\n\t\t}\n\t}\n        // If the product has changed then write to the field\n\tthis.output = String(output);\n};\n\n/*\nSelectively refreshes the widget if needed. Returns true if the widget or any of its children needed re-rendering\n*/\nActionProdFieldWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes();\n\tvar output = 1;\n\tthis.list = this.getTiddlerList();\n\tfor (var i = 0; i < this.list.length; i++) {\n\t\tvar tidtitle = this.list[i];\n\t\tvar tiddler = this.wiki.getTiddler(tidtitle);\n\t\tif ( !isNaN(parseFloat(tiddler.getFieldString(this.prodField))) && isFinite(tiddler.getFieldString(this.prodField)) ) {\n\t  \t\toutput = output * Number(tiddler.getFieldString(this.prodField));\n\t\t}\n\t}\n\tthis.storetiddler = this.wiki.getTiddler(this.actionTiddler);\n\t// Completely rerender if any of our attributes have changed\n\tif (String(output) != String(this.storetiddler.getFieldString(this.storeField))) {\n\t\tthis.refreshSelf();\n\t\treturn true;\n\t} else if(this.stateTitle && changedTiddlers[this.stateTitle]) {\n\t\tthis.readState();\n\t\treturn true;\n\t}\n\treturn false;\n};\n\nActionProdFieldWidget.prototype.getTiddlerList = function() {\n\tvar defaultFilter = \"[!is[system]is[system]]\"; // this will always return an empty list and is always valid, so default behavior is to return an empty list\n\treturn this.wiki.filterTiddlers(this.getAttribute(\"$filter\",defaultFilter),this);\n};\n\n/*\nInvoke the action associated with this widget\n*/\nActionProdFieldWidget.prototype.invokeAction = function(triggeringWidget,event) {\n\tif (this.output === String(this.storetiddler.getFieldString(this.storeField))) {\n\t} else {\n\t\tthis.wiki.setText(this.actionTiddler,this.storeField,this.storeIndex,this.output);\n\t}\n\treturn true; // Action was invoked\n};\n\nexports[\"action-prodfield\"] = ActionProdFieldWidget;\n\n})();\n",
            "title": "$:/plugins/inymsocks/MathyThing/action-prodfield.js",
            "type": "application/javascript",
            "module-type": "widget"
        },
        "$:/plugins/inymsocks/MathyThing/action-prodfield2.js": {
            "text": "/*\\\ntitle: $:/plugins/inymsocks/MathyThing/action-prodfield2.js\ntype: application/javascript\nmodule-type: widget\n\nMultiply the values in two specified fields and store the result in another field\n\n<$prodfield2 filter='[tag[prod]]' prodfield='prod_field' prodfield2='prod_field2' storefield='store_field'/>\n\nThis is an edited version of the list widget from TiddlyWiki5\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar ActionProdFieldWidget2 = function(parseTreeNode,options) {\n\t// Main initialisation inherited from widget.js\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nActionProdFieldWidget2.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nActionProdFieldWidget2.prototype.render = function(parent,nextSibling) {\n\tthis.computeAttributes();\n\tthis.execute();\n};\n\n/*\nCompute the internal state of the widget\n*/\nActionProdFieldWidget2.prototype.execute = function() {\n\t// Get attributes\n\tthis.actionTiddler = this.getAttribute(\"$tiddler\",0);\n\tthis.prodField = this.getAttribute(\"$prodfield\");\n\tthis.prodField2 = this.getAttribute(\"$prodfield2\");\n\tthis.storeField = this.getAttribute(\"$storefield\",\"store_field\");\n\tthis.storeIndex = this.getAttribute(\"$index\");\n\tthis.defaultValue = this.getAttribute(\"$defaultvalue\",0);\n\t// Compose the list elements\n\tthis.list = this.getTiddlerList();\n};\n\n/*\nSelectively refreshes the widget if needed. Returns true if the widget or any of its children needed re-rendering\n*/\nActionProdFieldWidget2.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes();\n\tthis.list = this.getTiddlerList();\n\tfor (var i = 0; i < this.list.length; i++) {\n\t\tvar output = 1;\n\t\tvar tidtitle = this.list[i];\n\t\tvar tiddler = this.wiki.getTiddler(tidtitle);\n\t\tif ( !isNaN(parseFloat(tiddler.getFieldString(this.prodField))) && isFinite(tiddler.getFieldString(this.prodField)) && !isNaN(parseFloat(tiddler.getFieldString(this.prodField2))) && isFinite(tiddler.getFieldString(this.prodField2)) ) {\n\t  \t\toutput = Number(tiddler.getFieldString(this.prodField)) * Number(tiddler.getFieldString(this.prodField2));\n\t\t}\n\t\t// Completely rerender if any of our attributes have changed\n\t\tif ( this.actionTiddler === 0 ) {\n\t\t\tif (String(output) != String(tiddler.getFieldString(this.storeField))) {\n\t\t\t\tthis.refreshSelf();\n\t\t\t\treturn true;\n\t\t\t} else if(this.stateTitle && changedTiddlers[this.stateTitle]) {\n\t\t\t\tthis.readState();\n\t\t\t\treturn true;\n\t\t\t}\n\t\t} else {\n\t\t\tvar tiddler2 = this.wiki.getTiddler(this.actionTiddler);\n\t\t\tif (String(output) != String(tiddler2.getFieldString(this.storeField))) {\n\t\t\t\tthis.refreshSelf();\n\t\t\t\treturn true;\n\t\t\t} else if(this.stateTitle && changedTiddlers[this.stateTitle]) {\n\t\t\t\tthis.readState();\n\t\t\t\treturn true;\n\t\t\t}\n\t\t}\n\t}\n\treturn false;\n};\n\nActionProdFieldWidget2.prototype.getTiddlerList = function() {\n\tvar defaultFilter = \"[!is[system]is[system]]\"; // this will always return an empty list and is always valid, so default behavior is to return an empty list\n\treturn this.wiki.filterTiddlers(this.getAttribute(\"$filter\",defaultFilter),this);\n};\n\n/*\nInvoke the action associated with this widget\n*/\nActionProdFieldWidget2.prototype.invokeAction = function(triggeringWidget,event) {\n\t// Check for an empty list, if the list isn't empty compute the product\n\tif(this.list.length === 0) {\n\t\toutput = this.defaultValue; //return the default value when there is nothing to product, if it isn't set than return 0\n\t} else {\n\t\tfor (var i = 0; i < this.list.length; i++) {\n\t\t\tvar output = 1;\n\t\t\tvar tidtitle = this.list[i];\n\t\t\tvar tiddler = this.wiki.getTiddler(tidtitle);\n\t\t\t// check to make sure that the field contains a number before using it in the product\n\t\t\tif ( !isNaN(parseFloat(tiddler.getFieldString(this.prodField))) && isFinite(tiddler.getFieldString(this.prodField)) && !isNaN(parseFloat(tiddler.getFieldString(this.prodField2))) && isFinite(tiddler.getFieldString(this.prodField2)) ) {\n\t\t\t\toutput = Number(tiddler.getFieldString(this.prodField)) * Number(tiddler.getFieldString(this.prodField2));\n\t\t\t}\n\t\t\t // If the product has changed then write to the field\n\t\t\tthis.output = String(output);\n\t\t\tif ( this.actionTiddler === 0 ) {\n\t\t\t\tif (this.output === String(tiddler.getFieldString(this.storeField))) {\n\t\t\t\t} else {\n\t\t\t\t\tthis.wiki.setText(tidtitle,this.storeField,this.storeIndex,this.output);\n\t\t\t\t}\n\t\t\t} else {\n\t\t\t\tvar tiddler2 = this.wiki.getTiddler(this.actionTiddler);\n\t\t\t\tif (this.output === String(tiddler2.getFieldString(this.storeField))) {\n\t\t\t\t} else {\n\t\t\t\t\tthis.wiki.setText(this.actionTiddler,this.storeField,this.storeIndex,this.output);\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t}\n\treturn true; // Action was invoked\n};\n\nexports[\"action-prodfield2\"] = ActionProdFieldWidget2;\n\n})();\n",
            "title": "$:/plugins/inymsocks/MathyThing/action-prodfield2.js",
            "type": "application/javascript",
            "module-type": "widget"
        },
        "$:/plugins/inmysocks/MathyThing/action-storecount.js": {
            "text": "/*\\\ntitle: $:/plugins/inmysocks/MathyThing/action-storecount.js\ntype: application/javascript\nmodule-type: widget\n\nCount widget\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar MyCountWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nMyCountWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nMyCountWidget.prototype.render = function(parent,nextSibling) {\n\tthis.computeAttributes();\n\tthis.execute();\n};\n\n/*\nCompute the internal state of the widget\n*/\nMyCountWidget.prototype.execute = function() {\n\tthis.actionTiddler = this.getAttribute(\"$tiddler\",this.getVariable(\"currentTiddler\"));\n\tthis.actionField = this.getAttribute(\"$field\",\"store_field\");\n\tthis.actionIndex = this.getAttribute(\"$index\");\n\tthis.filter = this.getAttribute(\"$filter\");\n\tthis.defaultVal = this.getAttribute(\"$default\",0);\n\t\n\t// Execute the filter\n\tif(this.filter) {\n\t\tthis.currentCount = this.wiki.filterTiddlers(this.filter,this).length;\n\t} else {\n\t\tthis.currentCount = this.defaultVal;\n\t}\n\tthis.actionValue = this.currentCount.toString();\n};\n\n/*\nRefresh the widget by ensuring our attributes are up to date\n*/\nMyCountWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes();\n\tif(changedAttributes[\"$tiddler\"] || changedAttributes[\"$field\"] || changedAttributes[\"$index\"] || changedAttributes[\"$lower\"] || changedAttributes[\"$upper\"] || changedAttributes[\"$step\"]) {\n\t\tthis.refreshSelf();\n\t\treturn true;\n\t}\n\treturn this.refreshChildren(changedTiddlers);\n};\n\n/*\nInvoke the action associated with this widget\n*/\nMyCountWidget.prototype.invokeAction = function(triggeringWidget,event) {\n\tvar self = this;\n\tif(typeof this.actionValue === \"string\") {\n\t\tthis.wiki.setText(this.actionTiddler,this.actionField,this.actionIndex,this.actionValue);\t\t\n\t}\n\treturn true; // Action was invoked\n};\n\nexports[\"action-storecount\"] = MyCountWidget;\n\n})();",
            "title": "$:/plugins/inmysocks/MathyThing/action-storecount.js",
            "type": "application/javascript",
            "module-type": "widget"
        },
        "$:/plugins/inymsocks/MathyThing/action-sumfield.js": {
            "text": "/*\\\ntitle: $:/plugins/inymsocks/MathyThing/action-sumfield.js\ntype: application/javascript\nmodule-type: widget\n\nSum the values in a specified field and store the result in another field\n\n<$sumfield filter='[tag[sum]]' sumfield='sum_field' storefield='store_field'/>\n\nThis is an edited version of the list widget from TiddlyWiki5\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar ActionSumFieldWidget = function(parseTreeNode,options) {\n\t// Main initialisation inherited from widget.js\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nActionSumFieldWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nActionSumFieldWidget.prototype.render = function(parent,nextSibling) {\n\tthis.computeAttributes();\n\tthis.execute();\n};\n\n/*\nCompute the internal state of the widget\n*/\nActionSumFieldWidget.prototype.execute = function() {\n\t// Get attributes\n\tthis.actionTiddler = this.getAttribute(\"$tiddler\",this.getVariable(\"currentTiddler\"));\n\tthis.sumField = this.getAttribute(\"$sumfield\");\n\tthis.storeField = this.getAttribute(\"$storefield\",\"store_field\");\n\tthis.storeIndex = this.getAttribute(\"$index\");\n\tthis.defaultValue = this.getAttribute(\"$defaultvalue\",0);\n\t// Compose the list elements\n\tthis.list = this.getTiddlerList();\n\t// Get current value\n\tthis.storetiddler = this.wiki.getTiddler(this.actionTiddler);\n\tvar currentState = this.storetiddler.getFieldString(this.storeField);\n\t// Check for an empty list, if the list isn't empty compute the sum\n\tif(this.list.length === 0) {\n\t  output = this.defaultValue; //return the default value when there is nothing to sum, if it isn't set than return 0\n\t} else {\n\t  var output = 0;\n\t  for (var i = 0; i < this.list.length; i++) {\n\t    var tidtitle = this.list[i];\n\t    var tiddler = this.wiki.getTiddler(tidtitle);\n\t    if ( !isNaN(parseFloat(tiddler.getFieldString(this.sumField))) && isFinite(tiddler.getFieldString(this.sumField)) ) {\n\t    \toutput = output + Number(tiddler.getFieldString(this.sumField));\n\t\t}\n\t  }\n\t}\n        // If the sum has changed then write to the field\n\tthis.output = String(output);\n};\n\n/*\nSelectively refreshes the widget if needed. Returns true if the widget or any of its children needed re-rendering\n*/\nActionSumFieldWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes();\n\tvar output = 0;\n\tthis.list = this.getTiddlerList();\n\tfor (var i = 0; i < this.list.length; i++) {\n\t  var tidtitle = this.list[i];\n\t  var tiddler = this.wiki.getTiddler(tidtitle);\n\t  if ( !isNaN(parseFloat(tiddler.getFieldString(this.sumField))) && isFinite(tiddler.getFieldString(this.sumField)) ) {\n\t  \toutput = output + Number(tiddler.getFieldString(this.sumField));\n\t  }\n\t}\n\tthis.storetiddler = this.wiki.getTiddler(this.actionTiddler);\n\t// Completely rerender if any of our attributes have changed\n\tif (String(output) != String(this.storetiddler.getFieldString(this.storeField))) {\n\t\tthis.refreshSelf();\n\t\treturn true;\n\t} else if(this.stateTitle && changedTiddlers[this.stateTitle]) {\n\t\tthis.readState();\n\t\treturn true;\n\t}\n\treturn false;\n};\n\nActionSumFieldWidget.prototype.getTiddlerList = function() {\n\tvar defaultFilter = \"[!is[system]is[system]]\"; // this will always return an empty list and is always valid, so default behavior is to return an empty list\n\treturn this.wiki.filterTiddlers(this.getAttribute(\"$filter\",defaultFilter),this);\n};\n\n/*\nInvoke the action associated with this widget\n*/\nActionSumFieldWidget.prototype.invokeAction = function(triggeringWidget,event) {\n\tif (this.output === String(this.storetiddler.getFieldString(this.storeField))) {\n\t} else {\n\t  this.wiki.setText(this.actionTiddler,this.storeField,this.storeIndex,this.output);\n\t}\n\treturn true; // Action was invoked\n};\n\nexports[\"action-sumfield\"] = ActionSumFieldWidget;\n\n})();\n",
            "title": "$:/plugins/inymsocks/MathyThing/action-sumfield.js",
            "type": "application/javascript",
            "module-type": "widget"
        },
        "$:/plugins/inymsocks/MathyThing/action-sumfield2.js": {
            "text": "/*\\\ntitle: $:/plugins/inymsocks/MathyThing/action-sumfield2.js\ntype: application/javascript\nmodule-type: widget\n\nAdd the values in two specified fields and store the result in another field\n\n<$sumfield2 filter='[tag[sum]]' sumfield='sum_field' sumfield2='sum_field2' storefield='store_field'/>\n\nThis is an edited version of the list widget from TiddlyWiki5\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar ActionSumFieldWidget2 = function(parseTreeNode,options) {\n\t// Main initialisation inherited from widget.js\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nActionSumFieldWidget2.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nActionSumFieldWidget2.prototype.render = function(parent,nextSibling) {\n\tthis.computeAttributes();\n\tthis.execute();\n};\n\n/*\nCompute the internal state of the widget\n*/\nActionSumFieldWidget2.prototype.execute = function() {\n\t// Get attributes\n\tthis.actionTiddler = this.getAttribute(\"$tiddler\",0);\n\tthis.sumField = this.getAttribute(\"$sumfield\");\n\tthis.sumField2 = this.getAttribute(\"$sumfield2\");\n\tthis.storeField = this.getAttribute(\"$storefield\",\"store_field\");\n\tthis.storeIndex = this.getAttribute(\"$index\");\n\tthis.defaultValue = this.getAttribute(\"$defaultvalue\",0);\n\t// Compose the list elements\n\tthis.list = this.getTiddlerList();\n};\n\n/*\nSelectively refreshes the widget if needed. Returns true if the widget or any of its children needed re-rendering\n*/\nActionSumFieldWidget2.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes();\n\tthis.list = this.getTiddlerList();\n\tfor (var i = 0; i < this.list.length; i++) {\n\t\tvar output = 1;\n\t\tvar tidtitle = this.list[i];\n\t\tvar tiddler = this.wiki.getTiddler(tidtitle);\n\t\tif ( !isNaN(parseFloat(tiddler.getFieldString(this.sumField))) && isFinite(tiddler.getFieldString(this.sumField)) && !isNaN(parseFloat(tiddler.getFieldString(this.sumField2))) && isFinite(tiddler.getFieldString(this.sumField2)) ) {\n\t  \t\toutput = Number(tiddler.getFieldString(this.sumField)) + Number(tiddler.getFieldString(this.sumField2));\n\t\t}\n\t\t// Completely rerender if any of our attributes have changed\n\t\tif ( this.actionTiddler === 0 ) {\n\t\t\tif (String(output) != String(tiddler.getFieldString(this.storeField))) {\n\t\t\t\tthis.refreshSelf();\n\t\t\t\treturn true;\n\t\t\t} else if(this.stateTitle && changedTiddlers[this.stateTitle]) {\n\t\t\t\tthis.readState();\n\t\t\t\treturn true;\n\t\t\t}\n\t\t} else {\n\t\t\tvar tiddler2 = this.wiki.getTiddler(this.actionTiddler);\n\t\t\tif (String(output) != String(tiddler2.getFieldString(this.storeField))) {\n\t\t\t\tthis.refreshSelf();\n\t\t\t\treturn true;\n\t\t\t} else if(this.stateTitle && changedTiddlers[this.stateTitle]) {\n\t\t\t\tthis.readState();\n\t\t\t\treturn true;\n\t\t\t}\n\t\t}\n\t}\n\treturn false;\n};\n\nActionSumFieldWidget2.prototype.getTiddlerList = function() {\n\tvar defaultFilter = \"[!is[system]is[system]]\"; // this will always return an empty list and is always valid, so default behavior is to return an empty list\n\treturn this.wiki.filterTiddlers(this.getAttribute(\"$filter\",defaultFilter),this);\n};\n\n/*\nInvoke the action associated with this widget\n*/\nActionSumFieldWidget2.prototype.invokeAction = function(triggeringWidget,event) {\n\t// Check for an empty list, if the list isn't empty compute the sum\n\tif(this.list.length === 0) {\n\t\toutput = this.defaultValue; //return the default value when there is nothing to sum, if it isn't set than return 0\n\t} else {\n\t\tfor (var i = 0; i < this.list.length; i++) {\n\t\t\tvar output = 1;\n\t\t\tvar tidtitle = this.list[i];\n\t\t\tvar tiddler = this.wiki.getTiddler(tidtitle);\n\t\t\t// check to make sure that the field contains a number before using it in the sum\n\t\t\tif ( !isNaN(parseFloat(tiddler.getFieldString(this.sumField))) && isFinite(tiddler.getFieldString(this.sumField)) && !isNaN(parseFloat(tiddler.getFieldString(this.sumField2))) && isFinite(tiddler.getFieldString(this.sumField2)) ) {\n\t\t\t\toutput = Number(tiddler.getFieldString(this.sumField)) + Number(tiddler.getFieldString(this.sumField2));\n\t\t\t}\n\t\t\t // If the sum has changed then write to the field\n\t\t\tthis.output = String(output);\n\t\t\tif ( this.actionTiddler === 0 ) {\n\t\t\t\tif (this.output === String(tiddler.getFieldString(this.storeField))) {\n\t\t\t\t} else {\n\t\t\t\t\t\tthis.wiki.setText(tidtitle,this.storeField,this.storeIndex,this.output);\n\t\t\t\t} \n\t\t\t} else {\n\t\t\t\tvar tiddler2 = this.wiki.getTiddler(this.actionTiddler);\n\t\t\t\tif (this.output === String(tiddler2.getFieldString(this.storeField))) {\n\t\t\t\t} else {\n\t\t\t\t\tthis.wiki.setText(this.actionTiddler,this.storeField,this.storeIndex,this.output);\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t}\n\treturn true; // Action was invoked\n};\n\nexports[\"action-sumfield2\"] = ActionSumFieldWidget2;\n\n})();\n",
            "title": "$:/plugins/inymsocks/MathyThing/action-sumfield2.js",
            "type": "application/javascript",
            "module-type": "widget"
        },
        "$:/plugins/inmysocks/MathyThing/readme": {
            "title": "$:/plugins/inmysocks/MathyThing/readme",
            "type": "text/vnd.tiddlywiki",
            "text": "!TW5-MathyThing\n\n\na math plugin for TiddlyWiki5\n\nCurrently this plugin contains:\n\n*The action-storecount widget\n*The action-increment widget\n*The action-sumfield widget\n*The action-sumfield2 widget\n*The action-prodfield widget\n*The action-prodfield2 widget\n\n---\n\n''The action-storecount widget'' - an action widget with similar functionality to the count widget. It takes a filter and will count the number of matching tiddlers and, on a button press or other initiating event, store the output in the designated field. It was created by combining the action-setfield and count widgets.\n\nUsage:\n\n`<$action-storecount $filter=<<someFilter>> $tiddler=someTiddler $field=someField/>`\n\nSince it is a modification of the action-setfield widget and I haven't modifed this part, you may be able to store the output at the given index of a data tiddler, but I haven't tested that yet.\n\n---\n\n''The action-increment widget'' - a widget that increments a value in a field by a given amount\n\nNote: Both the field and the increment value have to be numeric and exist. If you specifiy an empty field, or a field with a non-numeric value, than the widget won't do anything. The prefix string doesn't count toward as 'non-numeric' for this.\n\nUsage:\n\n`<$action-increment $tiddler=someTiddler $field=fieldToIncrement $increment=incrementValue $length=zeroPadLength $prefix=outputPrefix $intial=initialValue/>`\n\n*$tiddler defaults to `<<currentTiddler>>`\n*$field defaults to make_sure_you_give_a_field_parameter\n*$increment defaults to 1\n*$length has no default, if no length is given than the output will have no zero padding\n*$prefix has no default, if no prefix is given the output isn't given a prefix\n*$initial defaults to 0\n\nNote: the `$length` input specifies the minimum length, so if your `$length` is set to 1 and your stored value is 10 the `$length` input does nothing. The `$length` is also independent of the `$prefix`.\n\nIt will take the value of someField and replace it with the value someField+someIncrement\n\nThere is no requirement that either value be positive or an integer.\n\n---\n\n\n''The action-storecount widget'' - a widget with similar functionality to the count widget. It takes a filter and will count the number of matching tiddlers and store the output in the designated field. It was created by modifying the sumfield widget below.\n\nUsage:\n\n`<$action-storecount $filter=<<someFilter>> $tiddler=someTiddler $field=someField/>`\n\nSince it is a modification of the action-setfield widget and I haven't modifed this part, you may be able to store the output at the given index of a data tiddler, but I haven't tested that yet.\n\n---\n\n\n''The sumfield widget'' - a widget that was made by modifying the list widget. It takes a filter and a given field and sums together everything in that field in the filtered tiddlers.\n\nUsage:\n\n`<$action-sumfield $filter=<<someFilter>> $sumfield=sumField $tiddler=storeTiddler $storefield=storeField $defaultvalue=defaultValue/>`\n\nIt will take each tiddler listed when using `<<someFilter>>` and take the value in sumField from each of the tiddlers and sum them, the result will be placed in the storeField of the tiddler storeTiddler. If there aren't any numbers to sum than it will display defaultValue.\n\ntiddler defaults to `<<currentTiddler>>` and defaultValue defaults to 0 if they aren't given inputs.\n\nIf one of the fields contains a non-numeric value than it is ignored. This includes empty fields.\n\n---\n\n\n''The action-sumfield2 widget'' - a widget that was made by modifying the list widget. It takes a filter and a given field and sums together two fields in the filtered tiddlers and stores the value in a third field.\n\nUsage:\n\n`<$action-sumfield2 $filter=<<someFilter>> $sumfield=sumField $sumfield2=sumField2 $storefield=storeField $defaultvalue=defaultValue/>`\n\nIt will take each tiddler listed when using `<<someFilter>>` and take the value in sumField to the value in sumField2 in each of the tiddlers and the result will be placed in the storeField of each tiddler. If there aren't any numbers to sum than it will display defaultValue.\n\ntiddler defaults to `<<currentTiddler>>` and defaultValue defaults to 0 if they aren't given inputs.\n\nIf one of the fields contains a non-numeric value than it is ignored. This includes empty fields.\n\n---\n\n\n''The action-prodfield widget'' - a widget that was made by modifying the list widget. It takes a filter and a given field and takes the product of everything in that field in the filtered tiddlers.\n\nUsage:\n\n`<$action-prodfield $filter=<<someFilter>> $prodfield=prodField $tiddler=storeTiddler $storefield=storeField $defaultvalue=defaultValue/>`\n\nIt will take each tiddler listed when using `<<someFilter>>` and take the value in prodField from each of the tiddlers and take their product, the result will be placed in the storeField of the tiddler storeTiddler. If there aren't any numbers to sum than it will display defaultValue. \n\ntiddler defaults to `<<currentTiddler>>` and defaultValue defaults to 0 if they aren't given inputs.\n\nIf one of the fields contains a non-numeric value than it is ignored. This includes empty fields.\n\n---\n\n\n''The action-prodfield2 widget'' - a widget that was made by modifying the list widget. It takes a filter and a given two fields takes the product of those fields in the filtered tiddlers, then stores the result in a third field in each tiddler.\n\nUsage:\n\n`<$action-prodfield2 $filter=<<someFilter>> $prodfield=prodField $prodfield2=prodField2 $storefield=storeField $defaultvalue=defaultValue/>`\n\nIt will take each tiddler listed when using `<<someFilter>>` and multiply the values in prodField and prodField2 in each of the tiddlers and the result will be placed in the storeField of each tiddler. If there aren't any numbers to sum than it will display defaultValue. \n\ntiddler defaults to `<<currentTiddler>>` and defaultValue defaults to 0 if they aren't given inputs.\n\nIf one of the fields contains a non-numeric value than it is ignored. This includes empty fields."
        }
    }
}

/*\
title: $:/plugins/inmysocks/MathyThing/action-increment.js
type: application/javascript
module-type: widget

Action widget that increments a number in a field.

\*/

(function(){

/*jslint node: true, browser: true */
/*global $tw: false */
"use strict";

var Widget = require("$:/core/modules/widgets/widget.js").widget;

var IncrementWidget = function(parseTreeNode,options) {
	this.initialise(parseTreeNode,options);
};

/*
Inherit from the base widget class
*/
IncrementWidget.prototype = new Widget();

/*
Render this widget into the DOM
*/
IncrementWidget.prototype.render = function(parent,nextSibling) {
	this.computeAttributes();
	this.execute();
};

/*
Compute the internal state of the widget
*/
IncrementWidget.prototype.execute = function() {
	this.actionTiddler = this.getAttribute("$tiddler",this.getVariable("currentTiddler"));
	this.actionField = this.getAttribute("$field","inc_field");
	this.actionIndex = this.getAttribute("$index");
	this.padLength = this.getAttribute("$length","0");
	this.prefixValue = this.getAttribute("$prefix")
	this.initialValue = this.getAttribute("$initial","0")

	var incVal = this.getAttribute("$increment",1);
	var tiddler = this.wiki.getTiddler(this.actionTiddler);
	var fieldString = tiddler.getFieldString(this.actionField);

	//If there is no value in the field create the initial value, with a prefix and zero padding if needed.
	if(fieldString) {
	} else if(this.prefixValue) {
		if(this.padLength) {
			fieldString = this.prefixValue+$tw.utils.pad(this.initialValue,this.padLength);
		} else {
			fieldString = this.prefixValue+this.initialValue;
		}
	} else if(this.padLength) {
			fieldString = $tw.utils.pad(this.initialValue,this.padLength);
	} else {
			fieldString = this.initialValue;
	}
	
	//Get the current numeric value in the field by removing the prefix if one is given.
	if(this.prefixValue) {
		var currentValue = fieldString.slice(this.prefixValue.length,fieldString.length);
	} else {
		var currentValue = fieldString;
	}

	//If either the existing value or the increment value are not numbers leave the field alone, otherwise increment the value.
	if(!isNaN(parseFloat(currentValue)) && isFinite(currentValue) && !isNaN(parseFloat(incVal)) && isFinite(incVal)) { 
		var output = Number(currentValue) + Number(incVal);
		if(this.padLength) {
			this.actionValue = $tw.utils.pad(output,this.padLength)
		} else {
			this.actionValue = output;
		} 
		if(this.prefixValue) {
			this.actionValue = String(this.prefixValue)+String(this.actionValue);
		}
	} else {
		this.actionValue = String(currentValue);
	}
};

/*
Refresh the widget by ensuring our attributes are up to date
*/
IncrementWidget.prototype.refresh = function(changedTiddlers) {
	var changedAttributes = this.computeAttributes();
	if(changedAttributes["$tiddler"] || changedAttributes["$field"] || changedAttributes["$index"] || changedAttributes["$increment"] || changedAttributes["$length"]) {
		this.refreshSelf();
		return true;
	}
	return this.refreshChildren(changedTiddlers);
};

/*
Invoke the action associated with this widget
*/
IncrementWidget.prototype.invokeAction = function(triggeringWidget,event) {
	if(typeof this.actionValue === "string") {
		this.wiki.setText(this.actionTiddler,this.actionField,this.actionIndex,this.actionValue);		
	}
	return true; // Action was invoked
};

exports["action-increment"] = IncrementWidget;

})();

{
    "tiddlers": {
        "$:/plugins/tiddlywiki/xlsx-utils/controls": {
            "title": "$:/plugins/tiddlywiki/xlsx-utils/controls",
            "caption": "XLSX Utilities",
            "tags": "$:/tags/ControlPanel",
            "text": "\\define help-button(state)\n<$button popup=\"\"\"$:/state/expand-help/$state$\"\"\" class=\"tc-btn-invisible tc-popup-keep\">\n{{$:/core/images/help}}\n</$button>\n\\end\n\n\\define help-content(type,state)\n<$reveal tag=\"span\" state=\"\"\"$:/state/expand-help/$state$\"\"\" type=\"popup\" position=\"below\">\n<div class=\"tc-drop-down tc-popup-keep\" style=\"padding: 0.5em; max-width: 30em; white-space: normal;\">\n<$transclude tiddler=\"\"\"$:/plugins/tiddlywiki/xlsx-utils/docs/$type$\"\"\" mode=\"block\"/>\n</div>\n</$reveal>\n\\end\n\n\\define renameProxyTitle()\n$:/state/plugins/tiddlywiki/xlsx-utils/rename-$(currentTiddler)$\n\\end\n\n\\define rename-current-tiddler()\n<$edit-text tag=\"input\" tiddler=<<renameProxyTitle>> placeholder=\"Rename\" default=<<currentTiddler>> size=\"50\"/>\n<$reveal type=\"nomatch\" state=\"\"\"$(renameProxyTitle)$\"\"\" text=<<currentTiddler>> default=<<currentTiddler>> tag=\"span\">\n<$button>\n<$action-deletetiddler $tiddler=<<renameProxyTitle>>/>\ncancel\n</$button>\n<$button>\n<$action-sendmessage $message=\"tm-rename-tiddler\" from=<<currentTiddler>> to={{$(renameProxyTitle)$}}/>\n<$action-deletetiddler $tiddler=<<renameProxyTitle>>/>\nrename\n</$button>\n<$set name=\"proxy-title\" value={{$(renameProxyTitle)$}}>\n<$list filter=\"\"\"[<proxy-title>is[tiddler]]\"\"\">\nWarning: tiddler already exists\n</$list>\n</$set>\n</$reveal>\n\\end\n\n\\define expand-collapse-button(state)\n<$reveal state=\"\"\"$:/state/expand/$state$\"\"\" type=\"match\" text=\"yes\" default=\"no\" tag=\"span\">\n<$button class=\"tc-btn-invisible\">\n<$action-setfield $tiddler=\"\"\"$:/state/expand/$state$\"\"\" $value=\"no\"/>\n{{$:/core/images/down-arrow}}\n</$button>\n</$reveal>\n<$reveal state=\"\"\"$:/state/expand/$state$\"\"\" type=\"nomatch\" text=\"yes\" default=\"no\" tag=\"span\">\n<$button class=\"tc-btn-invisible\">\n<$action-setfield $tiddler=\"\"\"$:/state/expand/$state$\"\"\" $value=\"yes\"/>\n{{$:/core/images/right-arrow}}\n</$button>\n</$reveal>\n\\end\n\n\\define expand-collapse-content(state,content,class)\n<$reveal state=\"\"\"$:/state/expand/$state$\"\"\" type=\"match\" text=\"yes\" default=\"no\" tag=\"div\" class=\"\"\"$class$\"\"\" animate=\"yes\" retain=\"yes\">\n$content$\n</$reveal>\n\\end\n\n\\define up-down-buttons(parent,child)\n<$list filter=\"[list<$parent$>butfirst[]field:title<$child$>limit[1]]\" variable=\"listItem\">\n<$button class=\"tc-btn-invisible\">\n<$action-listops $tiddler=<<$parent$>> $subfilter=\"+[move:-1<$child$>]\"/>\n{{$:/core/images/chevron-up}}\n</$button>\n</$list>\n<$list filter=\"[list<$parent$>butlast[]field:title<$child$>limit[1]]\" variable=\"listItem\">\n<$button class=\"tc-btn-invisible\">\n<$action-listops $tiddler=<<$parent$>> $subfilter=\"+[move:1<$child$>]\"/>\n{{$:/core/images/chevron-down}}\n</$button>\n</$list>\n\\end\n\n\\define edit-button(state)\n<$reveal state=\"\"\"$:/state/edit/$state$\"\"\" type=\"nomatch\" text=\"yes\" default=\"no\" tag=\"span\">\n<$button class=\"tc-btn-invisible\">\n<$action-setfield $tiddler=\"\"\"$:/state/edit/$state$\"\"\" $value=\"yes\"/>\n<$action-setfield $tiddler=\"\"\"$:/state/expand/$state$\"\"\" $value=\"yes\"/>\n{{$:/core/images/edit-button}}\n</$button>\n</$reveal>\n<$reveal state=\"\"\"$:/state/edit/$state$\"\"\" type=\"match\" text=\"yes\" default=\"no\" tag=\"span\">\n<$button class=\"tc-btn-invisible\">\n<$action-setfield $tiddler=\"\"\"$:/state/edit/$state$\"\"\" $value=\"no\"/>\n{{$:/core/images/done-button}} Finish editing\n</$button>\n</$reveal>\n\\end\n\n\\define delete-item-button(filter,parent,title,prompt)\n<$button class=\"tc-btn-invisible\">\n<$action-deletetiddler $filter=\"\"\"$filter$\"\"\"/>\n<$action-listops $tiddler=\"\"\"$parent$\"\"\" $subfilter=\"-[[$title$]]\"/>\n{{$:/core/images/delete-button}}$prompt$\n</$button>\n\\end\n\n\\define edit-field()\n<$select tiddler=<<field>> field=\"import-field-list-op\" default=\"none\">\n<option value=\"none\">Set field</option>\n<option value=\"append\">Append to list field</option>\n</$select>\n<$edit-text tiddler=<<field>> field=\"import-field-name\" size=\"10\" tag=\"input\" placeholder=\"field name\"default=\"\"/>\n<$reveal state=\"\"\"$(field)$!!import-field-list-op\"\"\" type=\"match\" text=\"none\" default=\"none\" tag=\"span\">\nto\n</$reveal>\n<$reveal state=\"\"\"$(field)$!!import-field-list-op\"\"\" type=\"match\" text=\"append\" default=\"none\" tag=\"span\">\nthe\n</$reveal>\n<$select tiddler=<<field>> field=\"import-field-type\" default=\"string\">\n<option value=\"date\">date</option>\n<option value=\"string\">string</option>\n</$select>\n<$select tiddler=<<field>> field=\"import-field-source\" default=\"column\">\n<option value=\"column\">from column</option>\n<option value=\"constant\">constant</option>\n</$select>\n<$reveal state=\"\"\"$(field)$!!import-field-source\"\"\" type=\"match\" text=\"column\" default=\"column\" tag=\"span\">\n<$edit-text tiddler=<<field>> field=\"import-field-column\" tag=\"input\" placeholder=\"column\" default=\"\"/>\nprefixed\n<$edit-text tiddler=<<field>> field=\"import-field-prefix\" tag=\"input\" placeholder=\"prefix\" default=\"\"/>,\nsuffixed\n<$edit-text tiddler=<<field>> field=\"import-field-suffix\" tag=\"input\" placeholder=\"suffix\" default=\"\"/>\n</$reveal>\n<$reveal state=\"\"\"$(field)$!!import-field-source\"\"\" type=\"match\" text=\"constant\" default=\"column\" tag=\"span\">\n<$edit-text tiddler=<<field>> field=\"import-field-value\" tag=\"input\" placeholder=\"constant\" default=\"\"/>\n</$reveal>\n<$checkbox tiddler=<<field>> field=\"import-field-skip-tiddler-if-blank\" checked=\"yes\" unchecked=\"no\" default=\"no\">\nSkip this tiddler when field blank\n<br/>\nTitle:\n<$tiddler tiddler=<<field>>>\n<<rename-current-tiddler>>\n</$tiddler>\n\\end\n\n\\define view-field()\n<$link to=<<field>>>\n<$list filter=\"[<field>!has[import-field-list-op]]\" variable=\"listItem\">\nSet field ''<$view tiddler=<<field>> field=\"import-field-name\"/>'' to\n</$list>\n<$list filter=\"[<field>get[import-field-list-op]prefix[append]]\" variable=\"listItem\">\nAppend to list field ''<$view tiddler=<<field>> field=\"import-field-name\"/>''\n</$list>\n<$list filter=\"[<field>has[import-field-prefix]]\" variable=\"listItem\">\n''<code><$view tiddler=<<field>> field=\"import-field-prefix\"/></code>'' +\n</$list>\n<$list filter=\"[<field>get[import-field-type]prefix[date]]\" variable=\"listItem\">\ndate\n</$list>\n<$list filter=\"[<field>get[import-field-source]prefix[column]]\" variable=\"listItem\">\nvalue from column ''<$view tiddler=<<field>> field=\"import-field-column\"/>''\n</$list>\n<$list filter=\"[<field>get[import-field-source]prefix[constant]]\" variable=\"listItem\">\nconstant ''<code><$view tiddler=<<field>> field=\"import-field-value\"/></code>''\n</$list>\n<$list filter=\"[<field>has[import-field-suffix]]\" variable=\"listItem\">\n+ ''<code><$view tiddler=<<field>> field=\"import-field-suffix\"/></code>''\n</$list>\n</$link>\n\\end\n\n\\define list-fields()\n<ul class=\"tc-import-spec-row-list\">\n<$list filter=\"[list<row>]\" variable=\"field\" emptyMessage=\"<div>(No field import specifiers)</div>\">\n<li class=\"tc-import-spec-field-wrapper\">\n<$reveal state=\"\"\"$:/state/edit/$(row)$\"\"\" type=\"match\" text=\"yes\" default=\"no\" tag=\"span\">\n<<edit-field>>\n<<up-down-buttons parent:\"row\" child:\"field\">>\n<$macrocall $name=\"delete-item-button\" filter=\"[<field>]\" parent=<<row>> title=<<field>>/>\n</$reveal>\n<$reveal state=\"\"\"$:/state/edit/$(row)$\"\"\" type=\"nomatch\" text=\"yes\" default=\"no\" tag=\"span\">\n<<view-field>>\n</$reveal>\n</li>\n</$list>\n</ul>\n\\end\n\n\\define view-row-content()\n<$reveal state=\"\"\"$:/state/edit/$(row)$\"\"\" type=\"match\" text=\"yes\" default=\"no\" tag=\"ul\" class=\"tc-import-spec-row-controls\" animate=\"yes\" retain=\"yes\">\n<li>\n<$macrocall $name=\"delete-item-button\" filter=\"[<row>] [<row>getlist[]]\" parent=<<sheet>> title=<<row>> prompt=\" Delete this row\"/>\n</li>\n<li>\nTitle:\n<$tiddler tiddler=<<row>>>\n<<rename-current-tiddler>>\n</$tiddler>\n</li>\n<li>\nRow type:\n<$select tiddler=<<row>> field=\"import-row-type\" default=\"by-field\">\n<option value=\"by-field\">By field</option>\n<option value=\"by-column\">By column</option>\n</$select>\n</li>\n<li>\n<$button class=\"tc-btn-invisible\">\n<$action-createtiddler $basetitle=\"$:/_ExcelImporter/ImportSpecifiers/Field\" $savetitle=\"$:/temp/newtiddler\" import-spec-role=\"field\" import-field-name=\"fieldname\" import-field-type=\"string\" import-field-source=\"column\" import-field-column=\"Column Name\" />\n<$action-listops $tiddler=<<row>> $subfilter=\"[{$:/temp/newtiddler}] +[putfirst[]]\"/>\n{{$:/core/images/new-button}} Add new field\n</$button>\n</li>\n</$reveal>\n<<list-fields>>\n\\end\n\n\\define view-row()\n<div class=\"tc-import-spec-row-wrapper\">\n<h5>\n<$macrocall $name=\"expand-collapse-button\" state=<<row>>/>\nEach row: <$list filter=\"[list<row>import-field-name[title]]\" variable=\"field\" emptyMessage=\"\n<$link to=<<field>>>(title field not set)</$link>\"><<view-field>></$list>\n<$macrocall $name=\"edit-button\" state=<<row>>/>\n<<up-down-buttons parent:\"sheet\" child:\"row\">>\n<$macrocall $name=\"help-button\" state=<<row>>/>\n</h5>\n<$macrocall $name=\"help-content\" type=\"row\" state=<<row>>/>\n<$macrocall $name=\"expand-collapse-content\" state=<<row>> content=<<view-row-content>> class=\"tc-import-spec-row\"/>\n</div>\n\\end\n\n\\define list-rows()\n<div class=\"tc-import-spec-sheet-list\">\n<$list filter=\"[list<sheet>]\" variable=\"row\" emptyMessage=\"<div>(No row import specifiers)</div>\">\n<<view-row>>\n</$list>\n\\end\n\n\\define view-sheet-content()\n<$reveal state=\"\"\"$:/state/edit/$(sheet)$\"\"\" type=\"match\" text=\"yes\" default=\"no\" tag=\"ul\" class=\"tc-import-spec-sheet-controls\" animate=\"yes\" retain=\"yes\">\n<li>\n<$macrocall $name=\"delete-item-button\" filter=\"[<sheet>] [<sheet>getlist[]] [<sheet>getlist[]getlist[]]\" parent=<<workbook>> title=<<sheet>> prompt=\" Delete this sheet\"/>\n</li>\n<li>\nTitle:\n<$tiddler tiddler=<<sheet>>>\n<<rename-current-tiddler>>\n</$tiddler>\n</li>\n<li>\nImport sheet name:\n<$edit-text tiddler=<<sheet>> field=\"import-sheet-name\" size=\"50\"/>\n</li>\n<li>\n<$button class=\"tc-btn-invisible\">\n<$action-createtiddler $basetitle=\"$:/_ExcelImporter/ImportSpecifiers/Row\" $savetitle=\"$:/temp/newtiddler\" import-spec-role=\"row\"/>\n<$action-listops $tiddler=<<sheet>> $subfilter=\"[{$:/temp/newtiddler}] +[putfirst[]]\"/>\n<$action-setfield $tiddler={{{ [{$:/temp/newtiddler}addprefix[$:/state/edit/]] }}} $value=\"yes\"/>\n<$action-setfield $tiddler={{{ [{$:/temp/newtiddler}addprefix[$:/state/expand/]] }}} $value=\"yes\"/>\n{{$:/core/images/new-button}} Add new row\n</$button>\n</li>\n</$reveal>\n<<list-rows>>\n\\end\n\n\\define view-sheet()\n<div class=\"tc-import-spec-sheet-wrapper\">\n<h4>\n<$macrocall $name=\"expand-collapse-button\" state=<<sheet>>/>\nSheet: <$link to=<<sheet>>><$view tiddler=<<sheet>> field=\"import-sheet-name\"/></$link>\n<$macrocall $name=\"edit-button\" state=<<sheet>>/>\n<<up-down-buttons parent:\"workbook\" child:\"sheet\">>\n<$macrocall $name=\"help-button\" state=<<sheet>>/>\n</h4>\n<$macrocall $name=\"help-content\" type=\"sheet\" state=<<sheet>>/>\n<$macrocall $name=\"expand-collapse-content\" state=<<sheet>> content=<<view-sheet-content>> class=\"tc-import-spec-sheet\"/>\n</div>\n\\end\n\n\\define list-sheets()\n<div class=\"tc-import-spec-workbook-list\">\n<$list filter=\"[list<workbook>]\" variable=\"sheet\" emptyMessage=\"<div>(No sheet import specifiers)</div>\">\n<<view-sheet>>\n</$list>\n</div>\n\\end\n\n\\define view-workbook-content()\n<$reveal state=\"\"\"$:/state/edit/$(workbook)$\"\"\" type=\"match\" text=\"yes\" default=\"no\" tag=\"ul\" class=\"tc-import-spec-workbook-controls\" animate=\"yes\" retain=\"yes\">\n<li>\n<$macrocall $name=\"delete-item-button\" filter=\"[<workbook>] [<workbook>getlist[]] [<workbook>getlist[]getlist[]] [<workbook>getlist[]getlist[]getlist[]]\" prompt=\" Delete this workbook\"/>\n</li>\n<li>\nTitle:\n<$tiddler tiddler=<<workbook>>>\n<<rename-current-tiddler>>\n</$tiddler>\n</li>\n<li>\nCaption:\n<$edit-text tiddler=<<workbook>> field=\"caption\" size=\"50\"/>\n</li>\n<li>\n<$button class=\"tc-btn-invisible\">\n<$action-createtiddler $basetitle=\"$:/_ExcelImporter/ImportSpecifiers/Sheet\" $savetitle=\"$:/temp/newtiddler\" import-spec-role=\"sheet\" import-sheet-name=\"Sheet name\"/>\n<$action-listops $tiddler=<<workbook>> $subfilter=\"[{$:/temp/newtiddler}] +[putfirst[]]\"/>\n<$action-setfield $tiddler={{{ [{$:/temp/newtiddler}addprefix[$:/state/edit/]] }}} $value=\"yes\"/>\n<$action-setfield $tiddler={{{ [{$:/temp/newtiddler}addprefix[$:/state/expand/]] }}} $value=\"yes\"/>\n{{$:/core/images/new-button}} Add new sheet\n</$button>\n</li>\n</$reveal>\n<<list-sheets>>\n\\end\n\n\\define view-workbook()\n<div class=\"tc-import-spec-workbook-wrapper\">\n<h3>\n<$macrocall $name=\"expand-collapse-button\" state=<<workbook>>/>\nWorkbook: <$link to=<<workbook>>><$view tiddler=<<workbook>> field=\"caption\"/></$link>\n<$macrocall $name=\"edit-button\" state=<<workbook>>/>\n<$macrocall $name=\"help-button\" state=<<workbook>>/>\n</h3>\n<$macrocall $name=\"help-content\" type=\"workbook\" state=<<workbook>>/>\n<$macrocall $name=\"expand-collapse-content\" state=<<workbook>> content=<<view-workbook-content>> class=\"tc-import-spec-workbook\"/>\n</div>\n\\end\n\n\\define list-workbooks()\n<ul class=\"tc-import-spec-editor-controls\">\n<li>\n<$button class=\"tc-btn-invisible\">\n<$action-createtiddler $basetitle=\"$:/_ExcelImporter/ImportSpecifiers/Workbook\" $savetitle=\"$:/temp/newtiddler\" import-spec-role=\"workbook\" caption=\"New workbook\"/>\n<$action-setfield $tiddler={{{ [{$:/temp/newtiddler}addprefix[$:/state/edit/]] }}} $value=\"yes\"/>\n<$action-setfield $tiddler={{{ [{$:/temp/newtiddler}addprefix[$:/state/expand/]] }}} $value=\"yes\"/>\n{{$:/core/images/new-button}} Add new workbook\n</$button>\n</li>\n</ul>\n<div class=\"tc-import-spec-editor-list\">\n<$list filter=\"[all[shadows+tiddlers]import-spec-role[workbook]sort[caption]]\" variable=\"workbook\">\n<<view-workbook>>\n</$list>\n</div>\n\\end\n\n<h1>\nControls for XLSX Spreadsheet Utilities\n</h1>\n\n<div class=\"tc-import-spec-selector\">\n<h2>\nCurrent Import Specification\n</h2>\n<$list filter=\"[all[shadows+tiddlers]import-spec-role[workbook]limit[1]]\" emptyMessage=\"\"\"\nThere are no import specifications available. Use the controls below to create one\n\"\"\">\nThis is the import specification that will be used for the next import of an `.XLSX` file\n<$select tiddler=\"$:/config/plugins/tiddlywiki/xlsx-utils/default-import-spec\">\n<$list filter=\"[all[shadows+tiddlers]import-spec-role[workbook]sort[caption]]\">\n<option value=<<currentTiddler>>><$text text={{!!caption}}/></option>\n</$list>\n</$select>\n</$list>\n</div>\n\n<div class=\"tc-import-spec-editor-wrapper\">\n<h2>\n Import Specifications\n<$macrocall $name=\"help-button\" state=\"\"/>\n</h2>\n<$macrocall $name=\"help-content\" type=\"editor\" state=\"\"/>\n<div class=\"tc-import-spec-editor\">\n<<list-workbooks>>\n</div>\n</div>\n"
        },
        "$:/plugins/tiddlywiki/xlsx-utils/deserializer.js": {
            "text": "/*\\\ntitle: $:/plugins/tiddlywiki/xlsx-utils/deserializer.js\ntype: application/javascript\nmodule-type: tiddlerdeserializer\n\nXLSX file deserializer\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nParse an XLSX file into tiddlers\n*/\nexports[\"application/vnd.openxmlformats-officedocument.spreadsheetml.sheet\"] = function(text,fields) {\n\t// Collect output tiddlers in an array\n\tvar results = [],\n\t\tXLSXImporter = require(\"$:/plugins/tiddlywiki/xlsx-utils/importer.js\").XLSXImporter,\n\t\timporter = new XLSXImporter({\n\t\t\ttext: text\n\t\t});\n\t// Return the output tiddlers\n\treturn importer.getResults();\n};\n\n})();\n",
            "title": "$:/plugins/tiddlywiki/xlsx-utils/deserializer.js",
            "type": "application/javascript",
            "module-type": "tiddlerdeserializer"
        },
        "$:/plugins/tiddlywiki/xlsx-utils/docs/editor": {
            "title": "$:/plugins/tiddlywiki/xlsx-utils/docs/editor",
            "text": "!!! Import Specifications\n\nImport specifications govern how spreadsheets are converted into individual tiddlers.\n\nEach \"workbook\" describes how spreadsheets of a particular format should be converted.\n"
        },
        "$:/plugins/tiddlywiki/xlsx-utils/docs/row": {
            "title": "$:/plugins/tiddlywiki/xlsx-utils/docs/row",
            "text": "!!! Row Import Specifications\n\nEach row import specification describes how one tiddler should be extracted from each row of the current sheet.\n\nNote that using multiple row import specifications within a sheet enables multiple tiddlers to be created from each row of the sheet.\n\nRows contain a list of field import specifications that describe how each field of the tiddler should be created.\n\n!!! Field Import Specifications\n\nField import specifications describe the value given to a particular field of a tiddler.\n\nThey follow a rich syntax for describing how each field of the tiddler is created. For example:\n\n* Set field `title` to string from column `Organization`\n* Set field `role` to string constant `organization`\n* Append to list field `list` the string from column `Country` prefixed with `Map:`\n\n"
        },
        "$:/plugins/tiddlywiki/xlsx-utils/docs/sheet": {
            "title": "$:/plugins/tiddlywiki/xlsx-utils/docs/sheet",
            "text": "!!! Sheet Import Specifications\n\nEach sheet import specification describes how a named sheet within a workbook should be converted into individual tiddlers.\n\nSheets contain a list of row import specifications that describe how individual rows of the sheet should be handled.\n\nEach sheet has the name of the sheet that it handles.\n\nNote that the first row of each sheet is interpreted as the title of each column.\n"
        },
        "$:/plugins/tiddlywiki/xlsx-utils/docs/workbook": {
            "title": "$:/plugins/tiddlywiki/xlsx-utils/docs/workbook",
            "text": "!!! Workbook Import Specifications\n\nEach workbook import specification describes how spreadsheets of a particular format should be converted into individual tiddlers.\n\nCreate a new workbook for each type of spreadsheet that you will be working with.\n\nWorkbooks contain a list of sheet import specifications that describe how individual sheets of the workbook should be handled.\n\nEach workbook has a caption that you can use to describe its purpose.\n"
        },
        "$:/plugins/tiddlywiki/xlsx-utils/xlsx.js": {
            "text": "var old_exports = exports,JSZip = require(\"$:/plugins/tiddlywiki/jszip/jszip.js\");exports = {};if($tw.browser){module.exports=undefined;};/* xlsx.js (C) 2013-2015 SheetJS -- http://sheetjs.com */\n/* vim: set ts=2: */\n/*jshint -W041 */\n/*jshint funcscope:true, eqnull:true */\nvar XLSX = {};\n(function make_xlsx(XLSX){\nXLSX.version = '0.8.0';\nvar current_codepage = 1200, current_cptable;\nif(typeof module !== \"undefined\" && typeof require !== 'undefined') {\n\tif(typeof cptable === 'undefined') cptable = require('./dist/cpexcel');\n\tcurrent_cptable = cptable[current_codepage];\n}\nfunction reset_cp() { set_cp(1200); }\nvar set_cp = function(cp) { current_codepage = cp; };\n\nfunction char_codes(data) { var o = []; for(var i = 0, len = data.length; i < len; ++i) o[i] = data.charCodeAt(i); return o; }\nvar debom_xml = function(data) { return data; };\n\nvar _getchar = function _gc1(x) { return String.fromCharCode(x); };\nif(typeof cptable !== 'undefined') {\n\tset_cp = function(cp) { current_codepage = cp; current_cptable = cptable[cp]; };\n\tdebom_xml = function(data) {\n\t\tif(data.charCodeAt(0) === 0xFF && data.charCodeAt(1) === 0xFE) { return cptable.utils.decode(1200, char_codes(data.substr(2))); }\n\t\treturn data;\n\t};\n\t_getchar = function _gc2(x) {\n\t\tif(current_codepage === 1200) return String.fromCharCode(x);\n\t\treturn cptable.utils.decode(current_codepage, [x&255,x>>8])[0];\n\t};\n}\nvar Base64 = (function make_b64(){\n\tvar map = \"ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz0123456789+/=\";\n\treturn {\n\t\tencode: function(input, utf8) {\n\t\t\tvar o = \"\";\n\t\t\tvar c1, c2, c3, e1, e2, e3, e4;\n\t\t\tfor(var i = 0; i < input.length; ) {\n\t\t\t\tc1 = input.charCodeAt(i++);\n\t\t\t\tc2 = input.charCodeAt(i++);\n\t\t\t\tc3 = input.charCodeAt(i++);\n\t\t\t\te1 = c1 >> 2;\n\t\t\t\te2 = (c1 & 3) << 4 | c2 >> 4;\n\t\t\t\te3 = (c2 & 15) << 2 | c3 >> 6;\n\t\t\t\te4 = c3 & 63;\n\t\t\t\tif (isNaN(c2)) { e3 = e4 = 64; }\n\t\t\t\telse if (isNaN(c3)) { e4 = 64; }\n\t\t\t\to += map.charAt(e1) + map.charAt(e2) + map.charAt(e3) + map.charAt(e4);\n\t\t\t}\n\t\t\treturn o;\n\t\t},\n\t\tdecode: function b64_decode(input, utf8) {\n\t\t\tvar o = \"\";\n\t\t\tvar c1, c2, c3;\n\t\t\tvar e1, e2, e3, e4;\n\t\t\tinput = input.replace(/[^A-Za-z0-9\\+\\/\\=]/g, \"\");\n\t\t\tfor(var i = 0; i < input.length;) {\n\t\t\t\te1 = map.indexOf(input.charAt(i++));\n\t\t\t\te2 = map.indexOf(input.charAt(i++));\n\t\t\t\te3 = map.indexOf(input.charAt(i++));\n\t\t\t\te4 = map.indexOf(input.charAt(i++));\n\t\t\t\tc1 = e1 << 2 | e2 >> 4;\n\t\t\t\tc2 = (e2 & 15) << 4 | e3 >> 2;\n\t\t\t\tc3 = (e3 & 3) << 6 | e4;\n\t\t\t\to += String.fromCharCode(c1);\n\t\t\t\tif (e3 != 64) { o += String.fromCharCode(c2); }\n\t\t\t\tif (e4 != 64) { o += String.fromCharCode(c3); }\n\t\t\t}\n\t\t\treturn o;\n\t\t}\n\t};\n})();\nvar has_buf = (typeof Buffer !== 'undefined');\n\nfunction new_raw_buf(len) {\n\t/* jshint -W056 */\n\treturn new (has_buf ? Buffer : Array)(len);\n\t/* jshint +W056 */\n}\n\nfunction s2a(s) {\n\tif(has_buf) return new Buffer(s, \"binary\");\n\treturn s.split(\"\").map(function(x){ return x.charCodeAt(0) & 0xff; });\n}\n\nvar bconcat = function(bufs) { return [].concat.apply([], bufs); };\n\nvar chr0 = /\\u0000/g, chr1 = /[\\u0001-\\u0006]/;\n/* ssf.js (C) 2013-2014 SheetJS -- http://sheetjs.com */\n/*jshint -W041 */\nvar SSF = {};\nvar make_ssf = function make_ssf(SSF){\nSSF.version = '0.8.1';\nfunction _strrev(x) { var o = \"\", i = x.length-1; while(i>=0) o += x.charAt(i--); return o; }\nfunction fill(c,l) { var o = \"\"; while(o.length < l) o+=c; return o; }\nfunction pad0(v,d){var t=\"\"+v; return t.length>=d?t:fill('0',d-t.length)+t;}\nfunction pad_(v,d){var t=\"\"+v;return t.length>=d?t:fill(' ',d-t.length)+t;}\nfunction rpad_(v,d){var t=\"\"+v; return t.length>=d?t:t+fill(' ',d-t.length);}\nfunction pad0r1(v,d){var t=\"\"+Math.round(v); return t.length>=d?t:fill('0',d-t.length)+t;}\nfunction pad0r2(v,d){var t=\"\"+v; return t.length>=d?t:fill('0',d-t.length)+t;}\nvar p2_32 = Math.pow(2,32);\nfunction pad0r(v,d){if(v>p2_32||v<-p2_32) return pad0r1(v,d); var i = Math.round(v); return pad0r2(i,d); }\nfunction isgeneral(s, i) { return s.length >= 7 + i && (s.charCodeAt(i)|32) === 103 && (s.charCodeAt(i+1)|32) === 101 && (s.charCodeAt(i+2)|32) === 110 && (s.charCodeAt(i+3)|32) === 101 && (s.charCodeAt(i+4)|32) === 114 && (s.charCodeAt(i+5)|32) === 97 && (s.charCodeAt(i+6)|32) === 108; }\n/* Options */\nvar opts_fmt = [\n\t[\"date1904\", 0],\n\t[\"output\", \"\"],\n\t[\"WTF\", false]\n];\nfunction fixopts(o){\n\tfor(var y = 0; y != opts_fmt.length; ++y) if(o[opts_fmt[y][0]]===undefined) o[opts_fmt[y][0]]=opts_fmt[y][1];\n}\nSSF.opts = opts_fmt;\nvar table_fmt = {\n\t0:  'General',\n\t1:  '0',\n\t2:  '0.00',\n\t3:  '#,##0',\n\t4:  '#,##0.00',\n\t9:  '0%',\n\t10: '0.00%',\n\t11: '0.00E+00',\n\t12: '# ?/?',\n\t13: '# ??/??',\n\t14: 'm/d/yy',\n\t15: 'd-mmm-yy',\n\t16: 'd-mmm',\n\t17: 'mmm-yy',\n\t18: 'h:mm AM/PM',\n\t19: 'h:mm:ss AM/PM',\n\t20: 'h:mm',\n\t21: 'h:mm:ss',\n\t22: 'm/d/yy h:mm',\n\t37: '#,##0 ;(#,##0)',\n\t38: '#,##0 ;[Red](#,##0)',\n\t39: '#,##0.00;(#,##0.00)',\n\t40: '#,##0.00;[Red](#,##0.00)',\n\t45: 'mm:ss',\n\t46: '[h]:mm:ss',\n\t47: 'mmss.0',\n\t48: '##0.0E+0',\n\t49: '@',\n\t56: '\"上午/下午 \"hh\"時\"mm\"分\"ss\"秒 \"',\n\t65535: 'General'\n};\nvar days = [\n\t['Sun', 'Sunday'],\n\t['Mon', 'Monday'],\n\t['Tue', 'Tuesday'],\n\t['Wed', 'Wednesday'],\n\t['Thu', 'Thursday'],\n\t['Fri', 'Friday'],\n\t['Sat', 'Saturday']\n];\nvar months = [\n\t['J', 'Jan', 'January'],\n\t['F', 'Feb', 'February'],\n\t['M', 'Mar', 'March'],\n\t['A', 'Apr', 'April'],\n\t['M', 'May', 'May'],\n\t['J', 'Jun', 'June'],\n\t['J', 'Jul', 'July'],\n\t['A', 'Aug', 'August'],\n\t['S', 'Sep', 'September'],\n\t['O', 'Oct', 'October'],\n\t['N', 'Nov', 'November'],\n\t['D', 'Dec', 'December']\n];\nfunction frac(x, D, mixed) {\n\tvar sgn = x < 0 ? -1 : 1;\n\tvar B = x * sgn;\n\tvar P_2 = 0, P_1 = 1, P = 0;\n\tvar Q_2 = 1, Q_1 = 0, Q = 0;\n\tvar A = Math.floor(B);\n\twhile(Q_1 < D) {\n\t\tA = Math.floor(B);\n\t\tP = A * P_1 + P_2;\n\t\tQ = A * Q_1 + Q_2;\n\t\tif((B - A) < 0.0000000005) break;\n\t\tB = 1 / (B - A);\n\t\tP_2 = P_1; P_1 = P;\n\t\tQ_2 = Q_1; Q_1 = Q;\n\t}\n\tif(Q > D) { Q = Q_1; P = P_1; }\n\tif(Q > D) { Q = Q_2; P = P_2; }\n\tif(!mixed) return [0, sgn * P, Q];\n\tif(Q===0) throw \"Unexpected state: \"+P+\" \"+P_1+\" \"+P_2+\" \"+Q+\" \"+Q_1+\" \"+Q_2;\n\tvar q = Math.floor(sgn * P/Q);\n\treturn [q, sgn*P - q*Q, Q];\n}\nfunction general_fmt_int(v, opts) { return \"\"+v; }\nSSF._general_int = general_fmt_int;\nvar general_fmt_num = (function make_general_fmt_num() {\nvar gnr1 = /\\.(\\d*[1-9])0+$/, gnr2 = /\\.0*$/, gnr4 = /\\.(\\d*[1-9])0+/, gnr5 = /\\.0*[Ee]/, gnr6 = /(E[+-])(\\d)$/;\nfunction gfn2(v) {\n\tvar w = (v<0?12:11);\n\tvar o = gfn5(v.toFixed(12)); if(o.length <= w) return o;\n\to = v.toPrecision(10); if(o.length <= w) return o;\n\treturn v.toExponential(5);\n}\nfunction gfn3(v) {\n\tvar o = v.toFixed(11).replace(gnr1,\".$1\");\n\tif(o.length > (v<0?12:11)) o = v.toPrecision(6);\n\treturn o;\n}\nfunction gfn4(o) {\n\tfor(var i = 0; i != o.length; ++i) if((o.charCodeAt(i) | 0x20) === 101) return o.replace(gnr4,\".$1\").replace(gnr5,\"E\").replace(\"e\",\"E\").replace(gnr6,\"$10$2\");\n\treturn o;\n}\nfunction gfn5(o) {\n\t//for(var i = 0; i != o.length; ++i) if(o.charCodeAt(i) === 46) return o.replace(gnr2,\"\").replace(gnr1,\".$1\");\n\t//return o;\n\treturn o.indexOf(\".\") > -1 ? o.replace(gnr2,\"\").replace(gnr1,\".$1\") : o;\n}\nreturn function general_fmt_num(v, opts) {\n\tvar V = Math.floor(Math.log(Math.abs(v))*Math.LOG10E), o;\n\tif(V >= -4 && V <= -1) o = v.toPrecision(10+V);\n\telse if(Math.abs(V) <= 9) o = gfn2(v);\n\telse if(V === 10) o = v.toFixed(10).substr(0,12);\n\telse o = gfn3(v);\n\treturn gfn5(gfn4(o));\n};})();\nSSF._general_num = general_fmt_num;\nfunction general_fmt(v, opts) {\n\tswitch(typeof v) {\n\t\tcase 'string': return v;\n\t\tcase 'boolean': return v ? \"TRUE\" : \"FALSE\";\n\t\tcase 'number': return (v|0) === v ? general_fmt_int(v, opts) : general_fmt_num(v, opts);\n\t}\n\tthrow new Error(\"unsupported value in General format: \" + v);\n}\nSSF._general = general_fmt;\nfunction fix_hijri(date, o) { return 0; }\nfunction parse_date_code(v,opts,b2) {\n\tif(v > 2958465 || v < 0) return null;\n\tvar date = (v|0), time = Math.floor(86400 * (v - date)), dow=0;\n\tvar dout=[];\n\tvar out={D:date, T:time, u:86400*(v-date)-time,y:0,m:0,d:0,H:0,M:0,S:0,q:0};\n\tif(Math.abs(out.u) < 1e-6) out.u = 0;\n\tfixopts(opts != null ? opts : (opts=[]));\n\tif(opts.date1904) date += 1462;\n\tif(out.u > 0.999) {\n\t\tout.u = 0;\n\t\tif(++time == 86400) { time = 0; ++date; }\n\t}\n\tif(date === 60) {dout = b2 ? [1317,10,29] : [1900,2,29]; dow=3;}\n\telse if(date === 0) {dout = b2 ? [1317,8,29] : [1900,1,0]; dow=6;}\n\telse {\n\t\tif(date > 60) --date;\n\t\t/* 1 = Jan 1 1900 */\n\t\tvar d = new Date(1900,0,1);\n\t\td.setDate(d.getDate() + date - 1);\n\t\tdout = [d.getFullYear(), d.getMonth()+1,d.getDate()];\n\t\tdow = d.getDay();\n\t\tif(date < 60) dow = (dow + 6) % 7;\n\t\tif(b2) dow = fix_hijri(d, dout);\n\t}\n\tout.y = dout[0]; out.m = dout[1]; out.d = dout[2];\n\tout.S = time % 60; time = Math.floor(time / 60);\n\tout.M = time % 60; time = Math.floor(time / 60);\n\tout.H = time;\n\tout.q = dow;\n\treturn out;\n}\nSSF.parse_date_code = parse_date_code;\n/*jshint -W086 */\nfunction write_date(type, fmt, val, ss0) {\n\tvar o=\"\", ss=0, tt=0, y = val.y, out, outl = 0;\n\tswitch(type) {\n\t\tcase 98: /* 'b' buddhist year */\n\t\t\ty = val.y + 543;\n\t\t\t/* falls through */\n\t\tcase 121: /* 'y' year */\n\t\tswitch(fmt.length) {\n\t\t\tcase 1: case 2: out = y % 100; outl = 2; break;\n\t\t\tdefault: out = y % 10000; outl = 4; break;\n\t\t} break;\n\t\tcase 109: /* 'm' month */\n\t\tswitch(fmt.length) {\n\t\t\tcase 1: case 2: out = val.m; outl = fmt.length; break;\n\t\t\tcase 3: return months[val.m-1][1];\n\t\t\tcase 5: return months[val.m-1][0];\n\t\t\tdefault: return months[val.m-1][2];\n\t\t} break;\n\t\tcase 100: /* 'd' day */\n\t\tswitch(fmt.length) {\n\t\t\tcase 1: case 2: out = val.d; outl = fmt.length; break;\n\t\t\tcase 3: return days[val.q][0];\n\t\t\tdefault: return days[val.q][1];\n\t\t} break;\n\t\tcase 104: /* 'h' 12-hour */\n\t\tswitch(fmt.length) {\n\t\t\tcase 1: case 2: out = 1+(val.H+11)%12; outl = fmt.length; break;\n\t\t\tdefault: throw 'bad hour format: ' + fmt;\n\t\t} break;\n\t\tcase 72: /* 'H' 24-hour */\n\t\tswitch(fmt.length) {\n\t\t\tcase 1: case 2: out = val.H; outl = fmt.length; break;\n\t\t\tdefault: throw 'bad hour format: ' + fmt;\n\t\t} break;\n\t\tcase 77: /* 'M' minutes */\n\t\tswitch(fmt.length) {\n\t\t\tcase 1: case 2: out = val.M; outl = fmt.length; break;\n\t\t\tdefault: throw 'bad minute format: ' + fmt;\n\t\t} break;\n\t\tcase 115: /* 's' seconds */\n\t\tif(val.u === 0) switch(fmt) {\n\t\t\tcase 's': case 'ss': return pad0(val.S, fmt.length);\n\t\t\tcase '.0': case '.00': case '.000':\n\t\t}\n\t\tswitch(fmt) {\n\t\t\tcase 's': case 'ss': case '.0': case '.00': case '.000':\n\t\t\t\tif(ss0 >= 2) tt = ss0 === 3 ? 1000 : 100;\n\t\t\t\telse tt = ss0 === 1 ? 10 : 1;\n\t\t\t\tss = Math.round((tt)*(val.S + val.u));\n\t\t\t\tif(ss >= 60*tt) ss = 0;\n\t\t\t\tif(fmt === 's') return ss === 0 ? \"0\" : \"\"+ss/tt;\n\t\t\t\to = pad0(ss,2 + ss0);\n\t\t\t\tif(fmt === 'ss') return o.substr(0,2);\n\t\t\t\treturn \".\" + o.substr(2,fmt.length-1);\n\t\t\tdefault: throw 'bad second format: ' + fmt;\n\t\t}\n\t\tcase 90: /* 'Z' absolute time */\n\t\tswitch(fmt) {\n\t\t\tcase '[h]': case '[hh]': out = val.D*24+val.H; break;\n\t\t\tcase '[m]': case '[mm]': out = (val.D*24+val.H)*60+val.M; break;\n\t\t\tcase '[s]': case '[ss]': out = ((val.D*24+val.H)*60+val.M)*60+Math.round(val.S+val.u); break;\n\t\t\tdefault: throw 'bad abstime format: ' + fmt;\n\t\t} outl = fmt.length === 3 ? 1 : 2; break;\n\t\tcase 101: /* 'e' era */\n\t\t\tout = y; outl = 1;\n\t}\n\tif(outl > 0) return pad0(out, outl); else return \"\";\n}\n/*jshint +W086 */\nfunction commaify(s) {\n\tif(s.length <= 3) return s;\n\tvar j = (s.length % 3), o = s.substr(0,j);\n\tfor(; j!=s.length; j+=3) o+=(o.length > 0 ? \",\" : \"\") + s.substr(j,3);\n\treturn o;\n}\nvar write_num = (function make_write_num(){\nvar pct1 = /%/g;\nfunction write_num_pct(type, fmt, val){\n\tvar sfmt = fmt.replace(pct1,\"\"), mul = fmt.length - sfmt.length;\n\treturn write_num(type, sfmt, val * Math.pow(10,2*mul)) + fill(\"%\",mul);\n}\nfunction write_num_cm(type, fmt, val){\n\tvar idx = fmt.length - 1;\n\twhile(fmt.charCodeAt(idx-1) === 44) --idx;\n\treturn write_num(type, fmt.substr(0,idx), val / Math.pow(10,3*(fmt.length-idx)));\n}\nfunction write_num_exp(fmt, val){\n\tvar o;\n\tvar idx = fmt.indexOf(\"E\") - fmt.indexOf(\".\") - 1;\n\tif(fmt.match(/^#+0.0E\\+0$/)) {\n\t\tvar period = fmt.indexOf(\".\"); if(period === -1) period=fmt.indexOf('E');\n\t\tvar ee = Math.floor(Math.log(Math.abs(val))*Math.LOG10E)%period;\n\t\tif(ee < 0) ee += period;\n\t\to = (val/Math.pow(10,ee)).toPrecision(idx+1+(period+ee)%period);\n\t\tif(o.indexOf(\"e\") === -1) {\n\t\t\tvar fakee = Math.floor(Math.log(Math.abs(val))*Math.LOG10E);\n\t\t\tif(o.indexOf(\".\") === -1) o = o[0] + \".\" + o.substr(1) + \"E+\" + (fakee - o.length+ee);\n\t\t\telse o += \"E+\" + (fakee - ee);\n\t\t\twhile(o.substr(0,2) === \"0.\") {\n\t\t\t\to = o[0] + o.substr(2,period) + \".\" + o.substr(2+period);\n\t\t\t\to = o.replace(/^0+([1-9])/,\"$1\").replace(/^0+\\./,\"0.\");\n\t\t\t}\n\t\t\to = o.replace(/\\+-/,\"-\");\n\t\t}\n\t\to = o.replace(/^([+-]?)(\\d*)\\.(\\d*)[Ee]/,function($$,$1,$2,$3) { return $1 + $2 + $3.substr(0,(period+ee)%period) + \".\" + $3.substr(ee) + \"E\"; });\n\t} else o = val.toExponential(idx);\n\tif(fmt.match(/E\\+00$/) && o.match(/e[+-]\\d$/)) o = o.substr(0,o.length-1) + \"0\" + o[o.length-1];\n\tif(fmt.match(/E\\-/) && o.match(/e\\+/)) o = o.replace(/e\\+/,\"e\");\n\treturn o.replace(\"e\",\"E\");\n}\nvar frac1 = /# (\\?+)( ?)\\/( ?)(\\d+)/;\nfunction write_num_f1(r, aval, sign) {\n\tvar den = parseInt(r[4]), rr = Math.round(aval * den), base = Math.floor(rr/den);\n\tvar myn = (rr - base*den), myd = den;\n\treturn sign + (base === 0 ? \"\" : \"\"+base) + \" \" + (myn === 0 ? fill(\" \", r[1].length + 1 + r[4].length) : pad_(myn,r[1].length) + r[2] + \"/\" + r[3] + pad0(myd,r[4].length));\n}\nfunction write_num_f2(r, aval, sign) {\n\treturn sign + (aval === 0 ? \"\" : \"\"+aval) + fill(\" \", r[1].length + 2 + r[4].length);\n}\nvar dec1 = /^#*0*\\.(0+)/;\nvar closeparen = /\\).*[0#]/;\nvar phone = /\\(###\\) ###\\\\?-####/;\nfunction hashq(str) {\n\tvar o = \"\", cc;\n\tfor(var i = 0; i != str.length; ++i) switch((cc=str.charCodeAt(i))) {\n\t\tcase 35: break;\n\t\tcase 63: o+= \" \"; break;\n\t\tcase 48: o+= \"0\"; break;\n\t\tdefault: o+= String.fromCharCode(cc);\n\t}\n\treturn o;\n}\nfunction rnd(val, d) { var dd = Math.pow(10,d); return \"\"+(Math.round(val * dd)/dd); }\nfunction dec(val, d) { return Math.round((val-Math.floor(val))*Math.pow(10,d)); }\nfunction flr(val) { if(val < 2147483647 && val > -2147483648) return \"\"+(val >= 0 ? (val|0) : (val-1|0)); return \"\"+Math.floor(val); }\nfunction write_num_flt(type, fmt, val) {\n\tif(type.charCodeAt(0) === 40 && !fmt.match(closeparen)) {\n\t\tvar ffmt = fmt.replace(/\\( */,\"\").replace(/ \\)/,\"\").replace(/\\)/,\"\");\n\t\tif(val >= 0) return write_num_flt('n', ffmt, val);\n\t\treturn '(' + write_num_flt('n', ffmt, -val) + ')';\n\t}\n\tif(fmt.charCodeAt(fmt.length - 1) === 44) return write_num_cm(type, fmt, val);\n\tif(fmt.indexOf('%') !== -1) return write_num_pct(type, fmt, val);\n\tif(fmt.indexOf('E') !== -1) return write_num_exp(fmt, val);\n\tif(fmt.charCodeAt(0) === 36) return \"$\"+write_num_flt(type,fmt.substr(fmt[1]==' '?2:1),val);\n\tvar o, oo;\n\tvar r, ri, ff, aval = Math.abs(val), sign = val < 0 ? \"-\" : \"\";\n\tif(fmt.match(/^00+$/)) return sign + pad0r(aval,fmt.length);\n\tif(fmt.match(/^[#?]+$/)) {\n\t\to = pad0r(val,0); if(o === \"0\") o = \"\";\n\t\treturn o.length > fmt.length ? o : hashq(fmt.substr(0,fmt.length-o.length)) + o;\n\t}\n\tif((r = fmt.match(frac1)) !== null) return write_num_f1(r, aval, sign);\n\tif(fmt.match(/^#+0+$/) !== null) return sign + pad0r(aval,fmt.length - fmt.indexOf(\"0\"));\n\tif((r = fmt.match(dec1)) !== null) {\n\t\to = rnd(val, r[1].length).replace(/^([^\\.]+)$/,\"$1.\"+r[1]).replace(/\\.$/,\".\"+r[1]).replace(/\\.(\\d*)$/,function($$, $1) { return \".\" + $1 + fill(\"0\", r[1].length-$1.length); });\n\t\treturn fmt.indexOf(\"0.\") !== -1 ? o : o.replace(/^0\\./,\".\");\n\t}\n\tfmt = fmt.replace(/^#+([0.])/, \"$1\");\n\tif((r = fmt.match(/^(0*)\\.(#*)$/)) !== null) {\n\t\treturn sign + rnd(aval, r[2].length).replace(/\\.(\\d*[1-9])0*$/,\".$1\").replace(/^(-?\\d*)$/,\"$1.\").replace(/^0\\./,r[1].length?\"0.\":\".\");\n\t}\n\tif((r = fmt.match(/^#,##0(\\.?)$/)) !== null) return sign + commaify(pad0r(aval,0));\n\tif((r = fmt.match(/^#,##0\\.([#0]*0)$/)) !== null) {\n\t\treturn val < 0 ? \"-\" + write_num_flt(type, fmt, -val) : commaify(\"\"+(Math.floor(val))) + \".\" + pad0(dec(val, r[1].length),r[1].length);\n\t}\n\tif((r = fmt.match(/^#,#*,#0/)) !== null) return write_num_flt(type,fmt.replace(/^#,#*,/,\"\"),val);\n\tif((r = fmt.match(/^([0#]+)(\\\\?-([0#]+))+$/)) !== null) {\n\t\to = _strrev(write_num_flt(type, fmt.replace(/[\\\\-]/g,\"\"), val));\n\t\tri = 0;\n\t\treturn _strrev(_strrev(fmt.replace(/\\\\/g,\"\")).replace(/[0#]/g,function(x){return ri<o.length?o[ri++]:x==='0'?'0':\"\";}));\n\t}\n\tif(fmt.match(phone) !== null) {\n\t\to = write_num_flt(type, \"##########\", val);\n\t\treturn \"(\" + o.substr(0,3) + \") \" + o.substr(3, 3) + \"-\" + o.substr(6);\n\t}\n\tvar oa = \"\";\n\tif((r = fmt.match(/^([#0?]+)( ?)\\/( ?)([#0?]+)/)) !== null) {\n\t\tri = Math.min(r[4].length,7);\n\t\tff = frac(aval, Math.pow(10,ri)-1, false);\n\t\to = \"\" + sign;\n\t\toa = write_num(\"n\", r[1], ff[1]);\n\t\tif(oa[oa.length-1] == \" \") oa = oa.substr(0,oa.length-1) + \"0\";\n\t\to += oa + r[2] + \"/\" + r[3];\n\t\toa = rpad_(ff[2],ri);\n\t\tif(oa.length < r[4].length) oa = hashq(r[4].substr(r[4].length-oa.length)) + oa;\n\t\to += oa;\n\t\treturn o;\n\t}\n\tif((r = fmt.match(/^# ([#0?]+)( ?)\\/( ?)([#0?]+)/)) !== null) {\n\t\tri = Math.min(Math.max(r[1].length, r[4].length),7);\n\t\tff = frac(aval, Math.pow(10,ri)-1, true);\n\t\treturn sign + (ff[0]||(ff[1] ? \"\" : \"0\")) + \" \" + (ff[1] ? pad_(ff[1],ri) + r[2] + \"/\" + r[3] + rpad_(ff[2],ri): fill(\" \", 2*ri+1 + r[2].length + r[3].length));\n\t}\n\tif((r = fmt.match(/^[#0?]+$/)) !== null) {\n\t\to = pad0r(val, 0);\n\t\tif(fmt.length <= o.length) return o;\n\t\treturn hashq(fmt.substr(0,fmt.length-o.length)) + o;\n\t}\n  if((r = fmt.match(/^([#0?]+)\\.([#0]+)$/)) !== null) {\n\t\to = \"\" + val.toFixed(Math.min(r[2].length,10)).replace(/([^0])0+$/,\"$1\");\n\t\tri = o.indexOf(\".\");\n\t\tvar lres = fmt.indexOf(\".\") - ri, rres = fmt.length - o.length - lres;\n\t\treturn hashq(fmt.substr(0,lres) + o + fmt.substr(fmt.length-rres));\n\t}\n\tif((r = fmt.match(/^00,000\\.([#0]*0)$/)) !== null) {\n\t\tri = dec(val, r[1].length);\n\t\treturn val < 0 ? \"-\" + write_num_flt(type, fmt, -val) : commaify(flr(val)).replace(/^\\d,\\d{3}$/,\"0$&\").replace(/^\\d*$/,function($$) { return \"00,\" + ($$.length < 3 ? pad0(0,3-$$.length) : \"\") + $$; }) + \".\" + pad0(ri,r[1].length);\n\t}\n\tswitch(fmt) {\n\t\tcase \"#,###\": var x = commaify(pad0r(aval,0)); return x !== \"0\" ? sign + x : \"\";\n\t\tdefault:\n\t}\n\tthrow new Error(\"unsupported format |\" + fmt + \"|\");\n}\nfunction write_num_cm2(type, fmt, val){\n\tvar idx = fmt.length - 1;\n\twhile(fmt.charCodeAt(idx-1) === 44) --idx;\n\treturn write_num(type, fmt.substr(0,idx), val / Math.pow(10,3*(fmt.length-idx)));\n}\nfunction write_num_pct2(type, fmt, val){\n\tvar sfmt = fmt.replace(pct1,\"\"), mul = fmt.length - sfmt.length;\n\treturn write_num(type, sfmt, val * Math.pow(10,2*mul)) + fill(\"%\",mul);\n}\nfunction write_num_exp2(fmt, val){\n\tvar o;\n\tvar idx = fmt.indexOf(\"E\") - fmt.indexOf(\".\") - 1;\n\tif(fmt.match(/^#+0.0E\\+0$/)) {\n\t\tvar period = fmt.indexOf(\".\"); if(period === -1) period=fmt.indexOf('E');\n\t\tvar ee = Math.floor(Math.log(Math.abs(val))*Math.LOG10E)%period;\n\t\tif(ee < 0) ee += period;\n\t\to = (val/Math.pow(10,ee)).toPrecision(idx+1+(period+ee)%period);\n\t\tif(!o.match(/[Ee]/)) {\n\t\t\tvar fakee = Math.floor(Math.log(Math.abs(val))*Math.LOG10E);\n\t\t\tif(o.indexOf(\".\") === -1) o = o[0] + \".\" + o.substr(1) + \"E+\" + (fakee - o.length+ee);\n\t\t\telse o += \"E+\" + (fakee - ee);\n\t\t\to = o.replace(/\\+-/,\"-\");\n\t\t}\n\t\to = o.replace(/^([+-]?)(\\d*)\\.(\\d*)[Ee]/,function($$,$1,$2,$3) { return $1 + $2 + $3.substr(0,(period+ee)%period) + \".\" + $3.substr(ee) + \"E\"; });\n\t} else o = val.toExponential(idx);\n\tif(fmt.match(/E\\+00$/) && o.match(/e[+-]\\d$/)) o = o.substr(0,o.length-1) + \"0\" + o[o.length-1];\n\tif(fmt.match(/E\\-/) && o.match(/e\\+/)) o = o.replace(/e\\+/,\"e\");\n\treturn o.replace(\"e\",\"E\");\n}\nfunction write_num_int(type, fmt, val) {\n\tif(type.charCodeAt(0) === 40 && !fmt.match(closeparen)) {\n\t\tvar ffmt = fmt.replace(/\\( */,\"\").replace(/ \\)/,\"\").replace(/\\)/,\"\");\n\t\tif(val >= 0) return write_num_int('n', ffmt, val);\n\t\treturn '(' + write_num_int('n', ffmt, -val) + ')';\n\t}\n\tif(fmt.charCodeAt(fmt.length - 1) === 44) return write_num_cm2(type, fmt, val);\n\tif(fmt.indexOf('%') !== -1) return write_num_pct2(type, fmt, val);\n\tif(fmt.indexOf('E') !== -1) return write_num_exp2(fmt, val);\n\tif(fmt.charCodeAt(0) === 36) return \"$\"+write_num_int(type,fmt.substr(fmt[1]==' '?2:1),val);\n\tvar o;\n\tvar r, ri, ff, aval = Math.abs(val), sign = val < 0 ? \"-\" : \"\";\n\tif(fmt.match(/^00+$/)) return sign + pad0(aval,fmt.length);\n\tif(fmt.match(/^[#?]+$/)) {\n\t\to = (\"\"+val); if(val === 0) o = \"\";\n\t\treturn o.length > fmt.length ? o : hashq(fmt.substr(0,fmt.length-o.length)) + o;\n\t}\n\tif((r = fmt.match(frac1)) !== null) return write_num_f2(r, aval, sign);\n\tif(fmt.match(/^#+0+$/) !== null) return sign + pad0(aval,fmt.length - fmt.indexOf(\"0\"));\n\tif((r = fmt.match(dec1)) !== null) {\n\t\to = (\"\"+val).replace(/^([^\\.]+)$/,\"$1.\"+r[1]).replace(/\\.$/,\".\"+r[1]).replace(/\\.(\\d*)$/,function($$, $1) { return \".\" + $1 + fill(\"0\", r[1].length-$1.length); });\n\t\treturn fmt.indexOf(\"0.\") !== -1 ? o : o.replace(/^0\\./,\".\");\n\t}\n\tfmt = fmt.replace(/^#+([0.])/, \"$1\");\n\tif((r = fmt.match(/^(0*)\\.(#*)$/)) !== null) {\n\t\treturn sign + (\"\"+aval).replace(/\\.(\\d*[1-9])0*$/,\".$1\").replace(/^(-?\\d*)$/,\"$1.\").replace(/^0\\./,r[1].length?\"0.\":\".\");\n\t}\n\tif((r = fmt.match(/^#,##0(\\.?)$/)) !== null) return sign + commaify((\"\"+aval));\n\tif((r = fmt.match(/^#,##0\\.([#0]*0)$/)) !== null) {\n\t\treturn val < 0 ? \"-\" + write_num_int(type, fmt, -val) : commaify((\"\"+val)) + \".\" + fill('0',r[1].length);\n\t}\n\tif((r = fmt.match(/^#,#*,#0/)) !== null) return write_num_int(type,fmt.replace(/^#,#*,/,\"\"),val);\n\tif((r = fmt.match(/^([0#]+)(\\\\?-([0#]+))+$/)) !== null) {\n\t\to = _strrev(write_num_int(type, fmt.replace(/[\\\\-]/g,\"\"), val));\n\t\tri = 0;\n\t\treturn _strrev(_strrev(fmt.replace(/\\\\/g,\"\")).replace(/[0#]/g,function(x){return ri<o.length?o[ri++]:x==='0'?'0':\"\";}));\n\t}\n\tif(fmt.match(phone) !== null) {\n\t\to = write_num_int(type, \"##########\", val);\n\t\treturn \"(\" + o.substr(0,3) + \") \" + o.substr(3, 3) + \"-\" + o.substr(6);\n\t}\n\tvar oa = \"\";\n\tif((r = fmt.match(/^([#0?]+)( ?)\\/( ?)([#0?]+)/)) !== null) {\n\t\tri = Math.min(r[4].length,7);\n\t\tff = frac(aval, Math.pow(10,ri)-1, false);\n\t\to = \"\" + sign;\n\t\toa = write_num(\"n\", r[1], ff[1]);\n\t\tif(oa[oa.length-1] == \" \") oa = oa.substr(0,oa.length-1) + \"0\";\n\t\to += oa + r[2] + \"/\" + r[3];\n\t\toa = rpad_(ff[2],ri);\n\t\tif(oa.length < r[4].length) oa = hashq(r[4].substr(r[4].length-oa.length)) + oa;\n\t\to += oa;\n\t\treturn o;\n\t}\n\tif((r = fmt.match(/^# ([#0?]+)( ?)\\/( ?)([#0?]+)/)) !== null) {\n\t\tri = Math.min(Math.max(r[1].length, r[4].length),7);\n\t\tff = frac(aval, Math.pow(10,ri)-1, true);\n\t\treturn sign + (ff[0]||(ff[1] ? \"\" : \"0\")) + \" \" + (ff[1] ? pad_(ff[1],ri) + r[2] + \"/\" + r[3] + rpad_(ff[2],ri): fill(\" \", 2*ri+1 + r[2].length + r[3].length));\n\t}\n\tif((r = fmt.match(/^[#0?]+$/)) !== null) {\n\t\to = \"\" + val;\n\t\tif(fmt.length <= o.length) return o;\n\t\treturn hashq(fmt.substr(0,fmt.length-o.length)) + o;\n\t}\n\tif((r = fmt.match(/^([#0]+)\\.([#0]+)$/)) !== null) {\n\t\to = \"\" + val.toFixed(Math.min(r[2].length,10)).replace(/([^0])0+$/,\"$1\");\n\t\tri = o.indexOf(\".\");\n\t\tvar lres = fmt.indexOf(\".\") - ri, rres = fmt.length - o.length - lres;\n\t\treturn hashq(fmt.substr(0,lres) + o + fmt.substr(fmt.length-rres));\n\t}\n\tif((r = fmt.match(/^00,000\\.([#0]*0)$/)) !== null) {\n\t\treturn val < 0 ? \"-\" + write_num_int(type, fmt, -val) : commaify(\"\"+val).replace(/^\\d,\\d{3}$/,\"0$&\").replace(/^\\d*$/,function($$) { return \"00,\" + ($$.length < 3 ? pad0(0,3-$$.length) : \"\") + $$; }) + \".\" + pad0(0,r[1].length);\n\t}\n\tswitch(fmt) {\n\t\tcase \"#,###\": var x = commaify(\"\"+aval); return x !== \"0\" ? sign + x : \"\";\n\t\tdefault:\n\t}\n\tthrow new Error(\"unsupported format |\" + fmt + \"|\");\n}\nreturn function write_num(type, fmt, val) {\n\treturn (val|0) === val ? write_num_int(type, fmt, val) : write_num_flt(type, fmt, val);\n};})();\nfunction split_fmt(fmt) {\n\tvar out = [];\n\tvar in_str = false, cc;\n\tfor(var i = 0, j = 0; i < fmt.length; ++i) switch((cc=fmt.charCodeAt(i))) {\n\t\tcase 34: /* '\"' */\n\t\t\tin_str = !in_str; break;\n\t\tcase 95: case 42: case 92: /* '_' '*' '\\\\' */\n\t\t\t++i; break;\n\t\tcase 59: /* ';' */\n\t\t\tout[out.length] = fmt.substr(j,i-j);\n\t\t\tj = i+1;\n\t}\n\tout[out.length] = fmt.substr(j);\n\tif(in_str === true) throw new Error(\"Format |\" + fmt + \"| unterminated string \");\n\treturn out;\n}\nSSF._split = split_fmt;\nvar abstime = /\\[[HhMmSs]*\\]/;\nfunction eval_fmt(fmt, v, opts, flen) {\n\tvar out = [], o = \"\", i = 0, c = \"\", lst='t', q, dt, j, cc;\n\tvar hr='H';\n\t/* Tokenize */\n\twhile(i < fmt.length) {\n\t\tswitch((c = fmt[i])) {\n\t\t\tcase 'G': /* General */\n\t\t\t\tif(!isgeneral(fmt, i)) throw new Error('unrecognized character ' + c + ' in ' +fmt);\n\t\t\t\tout[out.length] = {t:'G', v:'General'}; i+=7; break;\n\t\t\tcase '\"': /* Literal text */\n\t\t\t\tfor(o=\"\";(cc=fmt.charCodeAt(++i)) !== 34 && i < fmt.length;) o += String.fromCharCode(cc);\n\t\t\t\tout[out.length] = {t:'t', v:o}; ++i; break;\n\t\t\tcase '\\\\': var w = fmt[++i], t = (w === \"(\" || w === \")\") ? w : 't';\n\t\t\t\tout[out.length] = {t:t, v:w}; ++i; break;\n\t\t\tcase '_': out[out.length] = {t:'t', v:\" \"}; i+=2; break;\n\t\t\tcase '@': /* Text Placeholder */\n\t\t\t\tout[out.length] = {t:'T', v:v}; ++i; break;\n\t\t\tcase 'B': case 'b':\n\t\t\t\tif(fmt[i+1] === \"1\" || fmt[i+1] === \"2\") {\n          if(dt==null) { dt=parse_date_code(v, opts, fmt[i+1] === \"2\"); if(dt==null) return \"\"; }\n\t\t\t\t\tout[out.length] = {t:'X', v:fmt.substr(i,2)}; lst = c; i+=2; break;\n\t\t\t\t}\n\t\t\t\t/* falls through */\n\t\t\tcase 'M': case 'D': case 'Y': case 'H': case 'S': case 'E':\n\t\t\t\tc = c.toLowerCase();\n\t\t\t\t/* falls through */\n\t\t\tcase 'm': case 'd': case 'y': case 'h': case 's': case 'e': case 'g':\n\t\t\t\tif(v < 0) return \"\";\n\t\t\t\tif(dt==null) { dt=parse_date_code(v, opts); if(dt==null) return \"\"; }\n\t\t\t\to = c; while(++i<fmt.length && fmt[i].toLowerCase() === c) o+=c;\n\t\t\t\tif(c === 'm' && lst.toLowerCase() === 'h') c = 'M'; /* m = minute */\n\t\t\t\tif(c === 'h') c = hr;\n\t\t\t\tout[out.length] = {t:c, v:o}; lst = c; break;\n\t\t\tcase 'A':\n\t\t\t\tq={t:c, v:\"A\"};\n\t\t\t\tif(dt==null) dt=parse_date_code(v, opts);\n        if(fmt.substr(i, 3) === \"A/P\") { if(dt!=null) q.v = dt.H >= 12 ? \"P\" : \"A\"; q.t = 'T'; hr='h';i+=3;}\n        else if(fmt.substr(i,5) === \"AM/PM\") { if(dt!=null) q.v = dt.H >= 12 ? \"PM\" : \"AM\"; q.t = 'T'; i+=5; hr='h'; }\n\t\t\t\telse { q.t = \"t\"; ++i; }\n\t\t\t\tif(dt==null && q.t === 'T') return \"\";\n\t\t\t\tout[out.length] = q; lst = c; break;\n\t\t\tcase '[':\n\t\t\t\to = c;\n\t\t\t\twhile(fmt[i++] !== ']' && i < fmt.length) o += fmt[i];\n\t\t\t\tif(o.substr(-1) !== ']') throw 'unterminated \"[\" block: |' + o + '|';\n\t\t\t\tif(o.match(abstime)) {\n\t\t\t\t\tif(dt==null) { dt=parse_date_code(v, opts); if(dt==null) return \"\"; }\n\t\t\t\t\tout[out.length] = {t:'Z', v:o.toLowerCase()};\n\t\t\t\t} else { o=\"\"; }\n\t\t\t\tbreak;\n\t\t\t/* Numbers */\n\t\t\tcase '.':\n\t\t\t\tif(dt != null) {\n\t\t\t\t\to = c; while((c=fmt[++i]) === \"0\") o += c;\n\t\t\t\t\tout[out.length] = {t:'s', v:o}; break;\n\t\t\t\t}\n\t\t\t\t/* falls through */\n\t\t\tcase '0': case '#':\n\t\t\t\to = c; while(\"0#?.,E+-%\".indexOf(c=fmt[++i]) > -1 || c=='\\\\' && fmt[i+1] == \"-\" && \"0#\".indexOf(fmt[i+2])>-1) o += c;\n\t\t\t\tout[out.length] = {t:'n', v:o}; break;\n\t\t\tcase '?':\n\t\t\t\to = c; while(fmt[++i] === c) o+=c;\n\t\t\t\tq={t:c, v:o}; out[out.length] = q; lst = c; break;\n\t\t\tcase '*': ++i; if(fmt[i] == ' ' || fmt[i] == '*') ++i; break; // **\n\t\t\tcase '(': case ')': out[out.length] = {t:(flen===1?'t':c), v:c}; ++i; break;\n\t\t\tcase '1': case '2': case '3': case '4': case '5': case '6': case '7': case '8': case '9':\n\t\t\t\to = c; while(\"0123456789\".indexOf(fmt[++i]) > -1) o+=fmt[i];\n\t\t\t\tout[out.length] = {t:'D', v:o}; break;\n\t\t\tcase ' ': out[out.length] = {t:c, v:c}; ++i; break;\n\t\t\tdefault:\n\t\t\t\tif(\",$-+/():!^&'~{}<>=€acfijklopqrtuvwxz\".indexOf(c) === -1) throw new Error('unrecognized character ' + c + ' in ' + fmt);\n\t\t\t\tout[out.length] = {t:'t', v:c}; ++i; break;\n\t\t}\n\t}\n\tvar bt = 0, ss0 = 0, ssm;\n\tfor(i=out.length-1, lst='t'; i >= 0; --i) {\n\t\tswitch(out[i].t) {\n\t\t\tcase 'h': case 'H': out[i].t = hr; lst='h'; if(bt < 1) bt = 1; break;\n\t\t\tcase 's':\n\t\t\t\tif((ssm=out[i].v.match(/\\.0+$/))) ss0=Math.max(ss0,ssm[0].length-1);\n\t\t\t\tif(bt < 3) bt = 3;\n\t\t\t/* falls through */\n\t\t\tcase 'd': case 'y': case 'M': case 'e': lst=out[i].t; break;\n\t\t\tcase 'm': if(lst === 's') { out[i].t = 'M'; if(bt < 2) bt = 2; } break;\n\t\t\tcase 'X': if(out[i].v === \"B2\");\n\t\t\t\tbreak;\n\t\t\tcase 'Z':\n\t\t\t\tif(bt < 1 && out[i].v.match(/[Hh]/)) bt = 1;\n\t\t\t\tif(bt < 2 && out[i].v.match(/[Mm]/)) bt = 2;\n\t\t\t\tif(bt < 3 && out[i].v.match(/[Ss]/)) bt = 3;\n\t\t}\n\t}\n\tswitch(bt) {\n\t\tcase 0: break;\n\t\tcase 1:\n\t\t\tif(dt.u >= 0.5) { dt.u = 0; ++dt.S; }\n\t\t\tif(dt.S >=  60) { dt.S = 0; ++dt.M; }\n\t\t\tif(dt.M >=  60) { dt.M = 0; ++dt.H; }\n\t\t\tbreak;\n\t\tcase 2:\n\t\t\tif(dt.u >= 0.5) { dt.u = 0; ++dt.S; }\n\t\t\tif(dt.S >=  60) { dt.S = 0; ++dt.M; }\n\t\t\tbreak;\n\t}\n\t/* replace fields */\n\tvar nstr = \"\", jj;\n\tfor(i=0; i < out.length; ++i) {\n\t\tswitch(out[i].t) {\n\t\t\tcase 't': case 'T': case ' ': case 'D': break;\n\t\t\tcase 'X': out[i] = undefined; break;\n\t\t\tcase 'd': case 'm': case 'y': case 'h': case 'H': case 'M': case 's': case 'e': case 'b': case 'Z':\n\t\t\t\tout[i].v = write_date(out[i].t.charCodeAt(0), out[i].v, dt, ss0);\n\t\t\t\tout[i].t = 't'; break;\n\t\t\tcase 'n': case '(': case '?':\n\t\t\t\tjj = i+1;\n\t\t\t\twhile(out[jj] != null && (\n\t\t\t\t\t(c=out[jj].t) === \"?\" || c === \"D\" ||\n\t\t\t\t\t(c === \" \" || c === \"t\") && out[jj+1] != null && (out[jj+1].t === '?' || out[jj+1].t === \"t\" && out[jj+1].v === '/') ||\n\t\t\t\t\tout[i].t === '(' && (c === ' ' || c === 'n' || c === ')') ||\n\t\t\t\t\tc === 't' && (out[jj].v === '/' || '$€'.indexOf(out[jj].v) > -1 || out[jj].v === ' ' && out[jj+1] != null && out[jj+1].t == '?')\n\t\t\t\t)) {\n\t\t\t\t\tout[i].v += out[jj].v;\n\t\t\t\t\tout[jj] = undefined; ++jj;\n\t\t\t\t}\n\t\t\t\tnstr += out[i].v;\n\t\t\t\ti = jj-1; break;\n\t\t\tcase 'G': out[i].t = 't'; out[i].v = general_fmt(v,opts); break;\n\t\t}\n\t}\n\tvar vv = \"\", myv, ostr;\n\tif(nstr.length > 0) {\n\t\tmyv = (v<0&&nstr.charCodeAt(0) === 45 ? -v : v); /* '-' */\n\t\tostr = write_num(nstr.charCodeAt(0) === 40 ? '(' : 'n', nstr, myv); /* '(' */\n\t\tjj=ostr.length-1;\n\t\tvar decpt = out.length;\n\t\tfor(i=0; i < out.length; ++i) if(out[i] != null && out[i].v.indexOf(\".\") > -1) { decpt = i; break; }\n\t\tvar lasti=out.length;\n\t\tif(decpt === out.length && ostr.indexOf(\"E\") === -1) {\n\t\t\tfor(i=out.length-1; i>= 0;--i) {\n\t\t\t\tif(out[i] == null || 'n?('.indexOf(out[i].t) === -1) continue;\n\t\t\t\tif(jj>=out[i].v.length-1) { jj -= out[i].v.length; out[i].v = ostr.substr(jj+1, out[i].v.length); }\n\t\t\t\telse if(jj < 0) out[i].v = \"\";\n\t\t\t\telse { out[i].v = ostr.substr(0, jj+1); jj = -1; }\n\t\t\t\tout[i].t = 't';\n\t\t\t\tlasti = i;\n\t\t\t}\n\t\t\tif(jj>=0 && lasti<out.length) out[lasti].v = ostr.substr(0,jj+1) + out[lasti].v;\n\t\t}\n\t\telse if(decpt !== out.length && ostr.indexOf(\"E\") === -1) {\n\t\t\tjj = ostr.indexOf(\".\")-1;\n\t\t\tfor(i=decpt; i>= 0; --i) {\n\t\t\t\tif(out[i] == null || 'n?('.indexOf(out[i].t) === -1) continue;\n\t\t\t\tj=out[i].v.indexOf(\".\")>-1&&i===decpt?out[i].v.indexOf(\".\")-1:out[i].v.length-1;\n\t\t\t\tvv = out[i].v.substr(j+1);\n\t\t\t\tfor(; j>=0; --j) {\n\t\t\t\t\tif(jj>=0 && (out[i].v[j] === \"0\" || out[i].v[j] === \"#\")) vv = ostr[jj--] + vv;\n\t\t\t\t}\n\t\t\t\tout[i].v = vv;\n\t\t\t\tout[i].t = 't';\n\t\t\t\tlasti = i;\n\t\t\t}\n\t\t\tif(jj>=0 && lasti<out.length) out[lasti].v = ostr.substr(0,jj+1) + out[lasti].v;\n\t\t\tjj = ostr.indexOf(\".\")+1;\n\t\t\tfor(i=decpt; i<out.length; ++i) {\n\t\t\t\tif(out[i] == null || 'n?('.indexOf(out[i].t) === -1 && i !== decpt ) continue;\n\t\t\t\tj=out[i].v.indexOf(\".\")>-1&&i===decpt?out[i].v.indexOf(\".\")+1:0;\n\t\t\t\tvv = out[i].v.substr(0,j);\n\t\t\t\tfor(; j<out[i].v.length; ++j) {\n\t\t\t\t\tif(jj<ostr.length) vv += ostr[jj++];\n\t\t\t\t}\n\t\t\t\tout[i].v = vv;\n\t\t\t\tout[i].t = 't';\n\t\t\t\tlasti = i;\n\t\t\t}\n\t\t}\n\t}\n\tfor(i=0; i<out.length; ++i) if(out[i] != null && 'n(?'.indexOf(out[i].t)>-1) {\n\t\tmyv = (flen >1 && v < 0 && i>0 && out[i-1].v === \"-\" ? -v:v);\n\t\tout[i].v = write_num(out[i].t, out[i].v, myv);\n\t\tout[i].t = 't';\n\t}\n\tvar retval = \"\";\n\tfor(i=0; i !== out.length; ++i) if(out[i] != null) retval += out[i].v;\n\treturn retval;\n}\nSSF._eval = eval_fmt;\nvar cfregex = /\\[[=<>]/;\nvar cfregex2 = /\\[([=<>]*)(-?\\d+\\.?\\d*)\\]/;\nfunction chkcond(v, rr) {\n\tif(rr == null) return false;\n\tvar thresh = parseFloat(rr[2]);\n\tswitch(rr[1]) {\n\t\tcase \"=\":  if(v == thresh) return true; break;\n\t\tcase \">\":  if(v >  thresh) return true; break;\n\t\tcase \"<\":  if(v <  thresh) return true; break;\n\t\tcase \"<>\": if(v != thresh) return true; break;\n\t\tcase \">=\": if(v >= thresh) return true; break;\n\t\tcase \"<=\": if(v <= thresh) return true; break;\n\t}\n\treturn false;\n}\nfunction choose_fmt(f, v) {\n\tvar fmt = split_fmt(f);\n\tvar l = fmt.length, lat = fmt[l-1].indexOf(\"@\");\n\tif(l<4 && lat>-1) --l;\n\tif(fmt.length > 4) throw \"cannot find right format for |\" + fmt + \"|\";\n\tif(typeof v !== \"number\") return [4, fmt.length === 4 || lat>-1?fmt[fmt.length-1]:\"@\"];\n\tswitch(fmt.length) {\n\t\tcase 1: fmt = lat>-1 ? [\"General\", \"General\", \"General\", fmt[0]] : [fmt[0], fmt[0], fmt[0], \"@\"]; break;\n\t\tcase 2: fmt = lat>-1 ? [fmt[0], fmt[0], fmt[0], fmt[1]] : [fmt[0], fmt[1], fmt[0], \"@\"]; break;\n\t\tcase 3: fmt = lat>-1 ? [fmt[0], fmt[1], fmt[0], fmt[2]] : [fmt[0], fmt[1], fmt[2], \"@\"]; break;\n\t\tcase 4: break;\n\t}\n\tvar ff = v > 0 ? fmt[0] : v < 0 ? fmt[1] : fmt[2];\n\tif(fmt[0].indexOf(\"[\") === -1 && fmt[1].indexOf(\"[\") === -1) return [l, ff];\n\tif(fmt[0].match(cfregex) != null || fmt[1].match(cfregex) != null) {\n\t\tvar m1 = fmt[0].match(cfregex2);\n\t\tvar m2 = fmt[1].match(cfregex2);\n\t\treturn chkcond(v, m1) ? [l, fmt[0]] : chkcond(v, m2) ? [l, fmt[1]] : [l, fmt[m1 != null && m2 != null ? 2 : 1]];\n\t}\n\treturn [l, ff];\n}\nfunction format(fmt,v,o) {\n\tfixopts(o != null ? o : (o=[]));\n\tvar sfmt = \"\";\n\tswitch(typeof fmt) {\n\t\tcase \"string\": sfmt = fmt; break;\n\t\tcase \"number\": sfmt = (o.table != null ? o.table : table_fmt)[fmt]; break;\n\t}\n\tif(isgeneral(sfmt,0)) return general_fmt(v, o);\n\tvar f = choose_fmt(sfmt, v);\n\tif(isgeneral(f[1])) return general_fmt(v, o);\n\tif(v === true) v = \"TRUE\"; else if(v === false) v = \"FALSE\";\n\telse if(v === \"\" || v == null) return \"\";\n\treturn eval_fmt(f[1], v, o, f[0]);\n}\nSSF._table = table_fmt;\nSSF.load = function load_entry(fmt, idx) { table_fmt[idx] = fmt; };\nSSF.format = format;\nSSF.get_table = function get_table() { return table_fmt; };\nSSF.load_table = function load_table(tbl) { for(var i=0; i!=0x0188; ++i) if(tbl[i] !== undefined) SSF.load(tbl[i], i); };\n};\nmake_ssf(SSF);\n/* map from xlml named formats to SSF TODO: localize */\nvar XLMLFormatMap = {\n\t\"General Number\": \"General\",\n\t\"General Date\": SSF._table[22],\n\t\"Long Date\": \"dddd, mmmm dd, yyyy\",\n\t\"Medium Date\": SSF._table[15],\n\t\"Short Date\": SSF._table[14],\n\t\"Long Time\": SSF._table[19],\n\t\"Medium Time\": SSF._table[18],\n\t\"Short Time\": SSF._table[20],\n\t\"Currency\": '\"$\"#,##0.00_);[Red]\\\\(\"$\"#,##0.00\\\\)',\n\t\"Fixed\": SSF._table[2],\n\t\"Standard\": SSF._table[4],\n\t\"Percent\": SSF._table[10],\n\t\"Scientific\": SSF._table[11],\n\t\"Yes/No\": '\"Yes\";\"Yes\";\"No\";@',\n\t\"True/False\": '\"True\";\"True\";\"False\";@',\n\t\"On/Off\": '\"Yes\";\"Yes\";\"No\";@'\n};\n\nvar DO_NOT_EXPORT_CFB = true;\n/* cfb.js (C) 2013-2014 SheetJS -- http://sheetjs.com */\n/* vim: set ts=2: */\n/*jshint eqnull:true */\n\n/* [MS-CFB] v20130118 */\nvar CFB = (function _CFB(){\nvar exports = {};\nexports.version = '0.10.2';\nfunction parse(file) {\nvar mver = 3; // major version\nvar ssz = 512; // sector size\nvar nmfs = 0; // number of mini FAT sectors\nvar ndfs = 0; // number of DIFAT sectors\nvar dir_start = 0; // first directory sector location\nvar minifat_start = 0; // first mini FAT sector location\nvar difat_start = 0; // first mini FAT sector location\n\nvar fat_addrs = []; // locations of FAT sectors\n\n/* [MS-CFB] 2.2 Compound File Header */\nvar blob = file.slice(0,512);\nprep_blob(blob, 0);\n\n/* major version */\nvar mv = check_get_mver(blob);\nmver = mv[0];\nswitch(mver) {\n\tcase 3: ssz = 512; break; case 4: ssz = 4096; break;\n\tdefault: throw \"Major Version: Expected 3 or 4 saw \" + mver;\n}\n\n/* reprocess header */\nif(ssz !== 512) { blob = file.slice(0,ssz); prep_blob(blob, 28 /* blob.l */); }\n/* Save header for final object */\nvar header = file.slice(0,ssz);\n\ncheck_shifts(blob, mver);\n\n// Number of Directory Sectors\nvar nds = blob.read_shift(4, 'i');\nif(mver === 3 && nds !== 0) throw '# Directory Sectors: Expected 0 saw ' + nds;\n\n// Number of FAT Sectors\n//var nfs = blob.read_shift(4, 'i');\nblob.l += 4;\n\n// First Directory Sector Location\ndir_start = blob.read_shift(4, 'i');\n\n// Transaction Signature\nblob.l += 4;\n\n// Mini Stream Cutoff Size\nblob.chk('00100000', 'Mini Stream Cutoff Size: ');\n\n// First Mini FAT Sector Location\nminifat_start = blob.read_shift(4, 'i');\n\n// Number of Mini FAT Sectors\nnmfs = blob.read_shift(4, 'i');\n\n// First DIFAT sector location\ndifat_start = blob.read_shift(4, 'i');\n\n// Number of DIFAT Sectors\nndfs = blob.read_shift(4, 'i');\n\n// Grab FAT Sector Locations\nfor(var q, j = 0; j < 109; ++j) { /* 109 = (512 - blob.l)>>>2; */\n\tq = blob.read_shift(4, 'i');\n\tif(q<0) break;\n\tfat_addrs[j] = q;\n}\n\n/** Break the file up into sectors */\nvar sectors = sectorify(file, ssz);\n\nsleuth_fat(difat_start, ndfs, sectors, ssz, fat_addrs);\n\n/** Chains */\nvar sector_list = make_sector_list(sectors, dir_start, fat_addrs, ssz);\n\nsector_list[dir_start].name = \"!Directory\";\nif(nmfs > 0 && minifat_start !== ENDOFCHAIN) sector_list[minifat_start].name = \"!MiniFAT\";\nsector_list[fat_addrs[0]].name = \"!FAT\";\nsector_list.fat_addrs = fat_addrs;\nsector_list.ssz = ssz;\n\n/* [MS-CFB] 2.6.1 Compound File Directory Entry */\nvar files = {}, Paths = [], FileIndex = [], FullPaths = [], FullPathDir = {};\nread_directory(dir_start, sector_list, sectors, Paths, nmfs, files, FileIndex);\n\nbuild_full_paths(FileIndex, FullPathDir, FullPaths, Paths);\n\nvar root_name = Paths.shift();\nPaths.root = root_name;\n\n/* [MS-CFB] 2.6.4 (Unicode 3.0.1 case conversion) */\nvar find_path = make_find_path(FullPaths, Paths, FileIndex, files, root_name);\n\nreturn {\n\traw: {header: header, sectors: sectors},\n\tFileIndex: FileIndex,\n\tFullPaths: FullPaths,\n\tFullPathDir: FullPathDir,\n\tfind: find_path\n};\n} // parse\n\n/* [MS-CFB] 2.2 Compound File Header -- read up to major version */\nfunction check_get_mver(blob) {\n\t// header signature 8\n\tblob.chk(HEADER_SIGNATURE, 'Header Signature: ');\n\n\t// clsid 16\n\tblob.chk(HEADER_CLSID, 'CLSID: ');\n\n\t// minor version 2\n\tvar mver = blob.read_shift(2, 'u');\n\n\treturn [blob.read_shift(2,'u'), mver];\n}\nfunction check_shifts(blob, mver) {\n\tvar shift = 0x09;\n\n\t// Byte Order\n\tblob.chk('feff', 'Byte Order: ');\n\n\t// Sector Shift\n\tswitch((shift = blob.read_shift(2))) {\n\t\tcase 0x09: if(mver !== 3) throw 'MajorVersion/SectorShift Mismatch'; break;\n\t\tcase 0x0c: if(mver !== 4) throw 'MajorVersion/SectorShift Mismatch'; break;\n\t\tdefault: throw 'Sector Shift: Expected 9 or 12 saw ' + shift;\n\t}\n\n\t// Mini Sector Shift\n\tblob.chk('0600', 'Mini Sector Shift: ');\n\n\t// Reserved\n\tblob.chk('000000000000', 'Reserved: ');\n}\n\n/** Break the file up into sectors */\nfunction sectorify(file, ssz) {\n\tvar nsectors = Math.ceil(file.length/ssz)-1;\n\tvar sectors = new Array(nsectors);\n\tfor(var i=1; i < nsectors; ++i) sectors[i-1] = file.slice(i*ssz,(i+1)*ssz);\n\tsectors[nsectors-1] = file.slice(nsectors*ssz);\n\treturn sectors;\n}\n\n/* [MS-CFB] 2.6.4 Red-Black Tree */\nfunction build_full_paths(FI, FPD, FP, Paths) {\n\tvar i = 0, L = 0, R = 0, C = 0, j = 0, pl = Paths.length;\n\tvar dad = new Array(pl), q = new Array(pl);\n\n\tfor(; i < pl; ++i) { dad[i]=q[i]=i; FP[i]=Paths[i]; }\n\n\tfor(; j < q.length; ++j) {\n\t\ti = q[j];\n\t\tL = FI[i].L; R = FI[i].R; C = FI[i].C;\n\t\tif(dad[i] === i) {\n\t\t\tif(L !== -1 /*NOSTREAM*/ && dad[L] !== L) dad[i] = dad[L];\n\t\t\tif(R !== -1 && dad[R] !== R) dad[i] = dad[R];\n\t\t}\n\t\tif(C !== -1 /*NOSTREAM*/) dad[C] = i;\n\t\tif(L !== -1) { dad[L] = dad[i]; q.push(L); }\n\t\tif(R !== -1) { dad[R] = dad[i]; q.push(R); }\n\t}\n\tfor(i=1; i !== pl; ++i) if(dad[i] === i) {\n\t\tif(R !== -1 /*NOSTREAM*/ && dad[R] !== R) dad[i] = dad[R];\n\t\telse if(L !== -1 && dad[L] !== L) dad[i] = dad[L];\n\t}\n\n\tfor(i=1; i < pl; ++i) {\n\t\tif(FI[i].type === 0 /* unknown */) continue;\n\t\tj = dad[i];\n\t\tif(j === 0) FP[i] = FP[0] + \"/\" + FP[i];\n\t\telse while(j !== 0) {\n\t\t\tFP[i] = FP[j] + \"/\" + FP[i];\n\t\t\tj = dad[j];\n\t\t}\n\t\tdad[i] = 0;\n\t}\n\n\tFP[0] += \"/\";\n\tfor(i=1; i < pl; ++i) {\n\t\tif(FI[i].type !== 2 /* stream */) FP[i] += \"/\";\n\t\tFPD[FP[i]] = FI[i];\n\t}\n}\n\n/* [MS-CFB] 2.6.4 */\nfunction make_find_path(FullPaths, Paths, FileIndex, files, root_name) {\n\tvar UCFullPaths = new Array(FullPaths.length);\n\tvar UCPaths = new Array(Paths.length), i;\n\tfor(i = 0; i < FullPaths.length; ++i) UCFullPaths[i] = FullPaths[i].toUpperCase().replace(chr0,'').replace(chr1,'!');\n\tfor(i = 0; i < Paths.length; ++i) UCPaths[i] = Paths[i].toUpperCase().replace(chr0,'').replace(chr1,'!');\n\treturn function find_path(path) {\n\t\tvar k;\n\t\tif(path.charCodeAt(0) === 47 /* \"/\" */) { k=true; path = root_name + path; }\n\t\telse k = path.indexOf(\"/\") !== -1;\n\t\tvar UCPath = path.toUpperCase().replace(chr0,'').replace(chr1,'!');\n\t\tvar w = k === true ? UCFullPaths.indexOf(UCPath) : UCPaths.indexOf(UCPath);\n\t\tif(w === -1) return null;\n\t\treturn k === true ? FileIndex[w] : files[Paths[w]];\n\t};\n}\n\n/** Chase down the rest of the DIFAT chain to build a comprehensive list\n    DIFAT chains by storing the next sector number as the last 32 bytes */\nfunction sleuth_fat(idx, cnt, sectors, ssz, fat_addrs) {\n\tvar q;\n\tif(idx === ENDOFCHAIN) {\n\t\tif(cnt !== 0) throw \"DIFAT chain shorter than expected\";\n\t} else if(idx !== -1 /*FREESECT*/) {\n\t\tvar sector = sectors[idx], m = (ssz>>>2)-1;\n\t\tfor(var i = 0; i < m; ++i) {\n\t\t\tif((q = __readInt32LE(sector,i*4)) === ENDOFCHAIN) break;\n\t\t\tfat_addrs.push(q);\n\t\t}\n\t\tsleuth_fat(__readInt32LE(sector,ssz-4),cnt - 1, sectors, ssz, fat_addrs);\n\t}\n}\n\n/** Follow the linked list of sectors for a given starting point */\nfunction get_sector_list(sectors, start, fat_addrs, ssz, chkd) {\n\tvar sl = sectors.length;\n\tvar buf, buf_chain;\n\tif(!chkd) chkd = new Array(sl);\n\tvar modulus = ssz - 1, j, jj;\n\tbuf = [];\n\tbuf_chain = [];\n\tfor(j=start; j>=0;) {\n\t\tchkd[j] = true;\n\t\tbuf[buf.length] = j;\n\t\tbuf_chain.push(sectors[j]);\n\t\tvar addr = fat_addrs[Math.floor(j*4/ssz)];\n\t\tjj = ((j*4) & modulus);\n\t\tif(ssz < 4 + jj) throw \"FAT boundary crossed: \" + j + \" 4 \"+ssz;\n\t\tj = __readInt32LE(sectors[addr], jj);\n\t}\n\treturn {nodes: buf, data:__toBuffer([buf_chain])};\n}\n\n/** Chase down the sector linked lists */\nfunction make_sector_list(sectors, dir_start, fat_addrs, ssz) {\n\tvar sl = sectors.length, sector_list = new Array(sl);\n\tvar chkd = new Array(sl), buf, buf_chain;\n\tvar modulus = ssz - 1, i, j, k, jj;\n\tfor(i=0; i < sl; ++i) {\n\t\tbuf = [];\n\t\tk = (i + dir_start); if(k >= sl) k-=sl;\n\t\tif(chkd[k] === true) continue;\n\t\tbuf_chain = [];\n\t\tfor(j=k; j>=0;) {\n\t\t\tchkd[j] = true;\n\t\t\tbuf[buf.length] = j;\n\t\t\tbuf_chain.push(sectors[j]);\n\t\t\tvar addr = fat_addrs[Math.floor(j*4/ssz)];\n\t\t\tjj = ((j*4) & modulus);\n\t\t\tif(ssz < 4 + jj) throw \"FAT boundary crossed: \" + j + \" 4 \"+ssz;\n\t\t\tj = __readInt32LE(sectors[addr], jj);\n\t\t}\n\t\tsector_list[k] = {nodes: buf, data:__toBuffer([buf_chain])};\n\t}\n\treturn sector_list;\n}\n\n/* [MS-CFB] 2.6.1 Compound File Directory Entry */\nfunction read_directory(dir_start, sector_list, sectors, Paths, nmfs, files, FileIndex) {\n\tvar blob;\n\tvar minifat_store = 0, pl = (Paths.length?2:0);\n\tvar sector = sector_list[dir_start].data;\n\tvar i = 0, namelen = 0, name, o, ctime, mtime;\n\tfor(; i < sector.length; i+= 128) {\n\t\tblob = sector.slice(i, i+128);\n\t\tprep_blob(blob, 64);\n\t\tnamelen = blob.read_shift(2);\n\t\tif(namelen === 0) continue;\n\t\tname = __utf16le(blob,0,namelen-pl);\n\t\tPaths.push(name);\n\t\to = {\n\t\t\tname:  name,\n\t\t\ttype:  blob.read_shift(1),\n\t\t\tcolor: blob.read_shift(1),\n\t\t\tL:     blob.read_shift(4, 'i'),\n\t\t\tR:     blob.read_shift(4, 'i'),\n\t\t\tC:     blob.read_shift(4, 'i'),\n\t\t\tclsid: blob.read_shift(16),\n\t\t\tstate: blob.read_shift(4, 'i')\n\t\t};\n\t\tctime = blob.read_shift(2) + blob.read_shift(2) + blob.read_shift(2) + blob.read_shift(2);\n\t\tif(ctime !== 0) {\n\t\t\to.ctime = ctime; o.ct = read_date(blob, blob.l-8);\n\t\t}\n\t\tmtime = blob.read_shift(2) + blob.read_shift(2) + blob.read_shift(2) + blob.read_shift(2);\n\t\tif(mtime !== 0) {\n\t\t\to.mtime = mtime; o.mt = read_date(blob, blob.l-8);\n\t\t}\n\t\to.start = blob.read_shift(4, 'i');\n\t\to.size = blob.read_shift(4, 'i');\n\t\tif(o.type === 5) { /* root */\n\t\t\tminifat_store = o.start;\n\t\t\tif(nmfs > 0 && minifat_store !== ENDOFCHAIN) sector_list[minifat_store].name = \"!StreamData\";\n\t\t\t/*minifat_size = o.size;*/\n\t\t} else if(o.size >= 4096 /* MSCSZ */) {\n\t\t\to.storage = 'fat';\n\t\t\tif(sector_list[o.start] === undefined) sector_list[o.start] = get_sector_list(sectors, o.start, sector_list.fat_addrs, sector_list.ssz);\n\t\t\tsector_list[o.start].name = o.name;\n\t\t\to.content = sector_list[o.start].data.slice(0,o.size);\n\t\t\tprep_blob(o.content, 0);\n\t\t} else {\n\t\t\to.storage = 'minifat';\n\t\t\tif(minifat_store !== ENDOFCHAIN && o.start !== ENDOFCHAIN) {\n\t\t\t\to.content = sector_list[minifat_store].data.slice(o.start*MSSZ,o.start*MSSZ+o.size);\n\t\t\t\tprep_blob(o.content, 0);\n\t\t\t}\n\t\t}\n\t\tfiles[name] = o;\n\t\tFileIndex.push(o);\n\t}\n}\n\nfunction read_date(blob, offset) {\n\treturn new Date(( ( (__readUInt32LE(blob,offset+4)/1e7)*Math.pow(2,32)+__readUInt32LE(blob,offset)/1e7 ) - 11644473600)*1000);\n}\n\nvar fs;\nfunction readFileSync(filename, options) {\n\tif(fs === undefined) fs = require('fs');\n\treturn parse(fs.readFileSync(filename), options);\n}\n\nfunction readSync(blob, options) {\n\tswitch(options !== undefined && options.type !== undefined ? options.type : \"base64\") {\n\t\tcase \"file\": return readFileSync(blob, options);\n\t\tcase \"base64\": return parse(s2a(Base64.decode(blob)), options);\n\t\tcase \"binary\": return parse(s2a(blob), options);\n\t}\n\treturn parse(blob);\n}\n\n/** CFB Constants */\nvar MSSZ = 64; /* Mini Sector Size = 1<<6 */\n//var MSCSZ = 4096; /* Mini Stream Cutoff Size */\n/* 2.1 Compound File Sector Numbers and Types */\nvar ENDOFCHAIN = -2;\n/* 2.2 Compound File Header */\nvar HEADER_SIGNATURE = 'd0cf11e0a1b11ae1';\nvar HEADER_CLSID = '00000000000000000000000000000000';\nvar consts = {\n\t/* 2.1 Compund File Sector Numbers and Types */\n\tMAXREGSECT: -6,\n\tDIFSECT: -4,\n\tFATSECT: -3,\n\tENDOFCHAIN: ENDOFCHAIN,\n\tFREESECT: -1,\n\t/* 2.2 Compound File Header */\n\tHEADER_SIGNATURE: HEADER_SIGNATURE,\n\tHEADER_MINOR_VERSION: '3e00',\n\tMAXREGSID: -6,\n\tNOSTREAM: -1,\n\tHEADER_CLSID: HEADER_CLSID,\n\t/* 2.6.1 Compound File Directory Entry */\n\tEntryTypes: ['unknown','storage','stream','lockbytes','property','root']\n};\n\nexports.read = readSync;\nexports.parse = parse;\nexports.utils = {\n\tReadShift: ReadShift,\n\tCheckField: CheckField,\n\tprep_blob: prep_blob,\n\tbconcat: bconcat,\n\tconsts: consts\n};\n\nreturn exports;\n})();\n\nif(typeof require !== 'undefined' && typeof module !== 'undefined' && typeof DO_NOT_EXPORT_CFB === 'undefined') { module.exports = CFB; }\nfunction isval(x) { return x !== undefined && x !== null; }\n\nfunction keys(o) { return Object.keys(o); }\n\nfunction evert_key(obj, key) {\n\tvar o = [], K = keys(obj);\n\tfor(var i = 0; i !== K.length; ++i) o[obj[K[i]][key]] = K[i];\n\treturn o;\n}\n\nfunction evert(obj) {\n\tvar o = [], K = keys(obj);\n\tfor(var i = 0; i !== K.length; ++i) o[obj[K[i]]] = K[i];\n\treturn o;\n}\n\nfunction evert_num(obj) {\n\tvar o = [], K = keys(obj);\n\tfor(var i = 0; i !== K.length; ++i) o[obj[K[i]]] = parseInt(K[i],10);\n\treturn o;\n}\n\nfunction evert_arr(obj) {\n\tvar o = [], K = keys(obj);\n\tfor(var i = 0; i !== K.length; ++i) {\n\t\tif(o[obj[K[i]]] == null) o[obj[K[i]]] = [];\n\t\to[obj[K[i]]].push(K[i]);\n\t}\n\treturn o;\n}\n\n/* TODO: date1904 logic */\nfunction datenum(v, date1904) {\n\tif(date1904) v+=1462;\n\tvar epoch = Date.parse(v);\n\treturn (epoch + 2209161600000) / (24 * 60 * 60 * 1000);\n}\n\nfunction cc2str(arr) {\n\tvar o = \"\";\n\tfor(var i = 0; i != arr.length; ++i) o += String.fromCharCode(arr[i]);\n\treturn o;\n}\n\nfunction getdata(data) {\n\tif(!data) return null;\n\tif(data.name.substr(-4) === \".bin\") {\n\t\tif(data.data) return char_codes(data.data);\n\t\tif(data.asNodeBuffer && has_buf) return data.asNodeBuffer();\n\t\tif(data._data && data._data.getContent) return Array.prototype.slice.call(data._data.getContent());\n\t} else {\n\t\tif(data.data) return data.name.substr(-4) !== \".bin\" ? debom_xml(data.data) : char_codes(data.data);\n\t\tif(data.asNodeBuffer && has_buf) return debom_xml(data.asNodeBuffer().toString('binary'));\n\t\tif(data.asBinary) return debom_xml(data.asBinary());\n\t\tif(data._data && data._data.getContent) return debom_xml(cc2str(Array.prototype.slice.call(data._data.getContent(),0)));\n\t}\n\treturn null;\n}\n\nfunction safegetzipfile(zip, file) {\n\tvar f = file; if(zip.files[f]) return zip.files[f];\n\tf = file.toLowerCase(); if(zip.files[f]) return zip.files[f];\n\tf = f.replace(/\\//g,'\\\\'); if(zip.files[f]) return zip.files[f];\n\treturn null;\n}\n\nfunction getzipfile(zip, file) {\n\tvar o = safegetzipfile(zip, file);\n\tif(o == null) throw new Error(\"Cannot find file \" + file + \" in zip\");\n\treturn o;\n}\n\nfunction getzipdata(zip, file, safe) {\n\tif(!safe) return getdata(getzipfile(zip, file));\n\tif(!file) return null;\n\ttry { return getzipdata(zip, file); } catch(e) { return null; }\n}\n\nvar _fs, jszip;\nif(typeof JSZip !== 'undefined') jszip = JSZip;\nif (typeof exports !== 'undefined') {\n\tif (typeof module !== 'undefined' && module.exports) {\n\t\tif(has_buf && typeof jszip === 'undefined') jszip = require('js'+'zip');\n\t\tif(typeof jszip === 'undefined') jszip = require('./js'+'zip').JSZip;\n\t\t_fs = require('f'+'s');\n\t}\n}\nvar attregexg=/([\\w:]+)=((?:\")([^\"]*)(?:\")|(?:')([^']*)(?:'))/g;\nvar tagregex=/<[^>]*>/g;\nvar nsregex=/<\\w*:/, nsregex2 = /<(\\/?)\\w+:/;\nfunction parsexmltag(tag, skip_root) {\n\tvar z = [];\n\tvar eq = 0, c = 0;\n\tfor(; eq !== tag.length; ++eq) if((c = tag.charCodeAt(eq)) === 32 || c === 10 || c === 13) break;\n\tif(!skip_root) z[0] = tag.substr(0, eq);\n\tif(eq === tag.length) return z;\n\tvar m = tag.match(attregexg), j=0, w=\"\", v=\"\", i=0, q=\"\", cc=\"\";\n\tif(m) for(i = 0; i != m.length; ++i) {\n\t\tcc = m[i];\n\t\tfor(c=0; c != cc.length; ++c) if(cc.charCodeAt(c) === 61) break;\n\t\tq = cc.substr(0,c); v = cc.substring(c+2, cc.length-1);\n\t\tfor(j=0;j!=q.length;++j) if(q.charCodeAt(j) === 58) break;\n\t\tif(j===q.length) z[q] = v;\n\t\telse z[(j===5 && q.substr(0,5)===\"xmlns\"?\"xmlns\":\"\")+q.substr(j+1)] = v;\n\t}\n\treturn z;\n}\nfunction strip_ns(x) { return x.replace(nsregex2, \"<$1\"); }\n\nvar encodings = {\n\t'&quot;': '\"',\n\t'&apos;': \"'\",\n\t'&gt;': '>',\n\t'&lt;': '<',\n\t'&amp;': '&'\n};\nvar rencoding = evert(encodings);\nvar rencstr = \"&<>'\\\"\".split(\"\");\n\n// TODO: CP remap (need to read file version to determine OS)\nvar unescapexml = (function() {\n\tvar encregex = /&[a-z]*;/g, coderegex = /_x([\\da-fA-F]+)_/g;\n\treturn function unescapexml(text){\n\t\tvar s = text + '';\n\t\treturn s.replace(encregex, function($$) { return encodings[$$]; }).replace(coderegex,function(m,c) {return String.fromCharCode(parseInt(c,16));});\n\t};\n})();\n\nvar decregex=/[&<>'\"]/g, charegex = /[\\u0000-\\u0008\\u000b-\\u001f]/g;\nfunction escapexml(text){\n\tvar s = text + '';\n\treturn s.replace(decregex, function(y) { return rencoding[y]; }).replace(charegex,function(s) { return \"_x\" + (\"000\"+s.charCodeAt(0).toString(16)).substr(-4) + \"_\";});\n}\n\n/* TODO: handle codepages */\nvar xlml_fixstr = (function() {\n\tvar entregex = /&#(\\d+);/g;\n\tfunction entrepl($$,$1) { return String.fromCharCode(parseInt($1,10)); }\n\treturn function xlml_fixstr(str) { return str.replace(entregex,entrepl); };\n})();\n\nfunction parsexmlbool(value, tag) {\n\tswitch(value) {\n\t\tcase '1': case 'true': case 'TRUE': return true;\n\t\t/* case '0': case 'false': case 'FALSE':*/\n\t\tdefault: return false;\n\t}\n}\n\nvar utf8read = function utf8reada(orig) {\n\tvar out = \"\", i = 0, c = 0, d = 0, e = 0, f = 0, w = 0;\n\twhile (i < orig.length) {\n\t\tc = orig.charCodeAt(i++);\n\t\tif (c < 128) { out += String.fromCharCode(c); continue; }\n\t\td = orig.charCodeAt(i++);\n\t\tif (c>191 && c<224) { out += String.fromCharCode(((c & 31) << 6) | (d & 63)); continue; }\n\t\te = orig.charCodeAt(i++);\n\t\tif (c < 240) { out += String.fromCharCode(((c & 15) << 12) | ((d & 63) << 6) | (e & 63)); continue; }\n\t\tf = orig.charCodeAt(i++);\n\t\tw = (((c & 7) << 18) | ((d & 63) << 12) | ((e & 63) << 6) | (f & 63))-65536;\n\t\tout += String.fromCharCode(0xD800 + ((w>>>10)&1023));\n\t\tout += String.fromCharCode(0xDC00 + (w&1023));\n\t}\n\treturn out;\n};\n\n\nif(has_buf) {\n\tvar utf8readb = function utf8readb(data) {\n\t\tvar out = new Buffer(2*data.length), w, i, j = 1, k = 0, ww=0, c;\n\t\tfor(i = 0; i < data.length; i+=j) {\n\t\t\tj = 1;\n\t\t\tif((c=data.charCodeAt(i)) < 128) w = c;\n\t\t\telse if(c < 224) { w = (c&31)*64+(data.charCodeAt(i+1)&63); j=2; }\n\t\t\telse if(c < 240) { w=(c&15)*4096+(data.charCodeAt(i+1)&63)*64+(data.charCodeAt(i+2)&63); j=3; }\n\t\t\telse { j = 4;\n\t\t\t\tw = (c & 7)*262144+(data.charCodeAt(i+1)&63)*4096+(data.charCodeAt(i+2)&63)*64+(data.charCodeAt(i+3)&63);\n\t\t\t\tw -= 65536; ww = 0xD800 + ((w>>>10)&1023); w = 0xDC00 + (w&1023);\n\t\t\t}\n\t\t\tif(ww !== 0) { out[k++] = ww&255; out[k++] = ww>>>8; ww = 0; }\n\t\t\tout[k++] = w%256; out[k++] = w>>>8;\n\t\t}\n\t\tout.length = k;\n\t\treturn out.toString('ucs2');\n\t};\n\tvar corpus = \"foo bar baz\\u00e2\\u0098\\u0083\\u00f0\\u009f\\u008d\\u00a3\";\n\tif(utf8read(corpus) == utf8readb(corpus)) utf8read = utf8readb;\n\tvar utf8readc = function utf8readc(data) { return Buffer(data, 'binary').toString('utf8'); };\n\tif(utf8read(corpus) == utf8readc(corpus)) utf8read = utf8readc;\n}\n\n// matches <foo>...</foo> extracts content\nvar matchtag = (function() {\n\tvar mtcache = {};\n\treturn function matchtag(f,g) {\n\t\tvar t = f+\"|\"+g;\n\t\tif(mtcache[t] !== undefined) return mtcache[t];\n\t\treturn (mtcache[t] = new RegExp('<(?:\\\\w+:)?'+f+'(?: xml:space=\"preserve\")?(?:[^>]*)>([^\\u2603]*)</(?:\\\\w+:)?'+f+'>',(g||\"\")));\n\t};\n})();\n\nvar vtregex = (function(){ var vt_cache = {};\n\treturn function vt_regex(bt) {\n\t\tif(vt_cache[bt] !== undefined) return vt_cache[bt];\n\t\treturn (vt_cache[bt] = new RegExp(\"<vt:\" + bt + \">(.*?)</vt:\" + bt + \">\", 'g') );\n};})();\nvar vtvregex = /<\\/?vt:variant>/g, vtmregex = /<vt:([^>]*)>(.*)</;\nfunction parseVector(data) {\n\tvar h = parsexmltag(data);\n\n\tvar matches = data.match(vtregex(h.baseType))||[];\n\tif(matches.length != h.size) throw \"unexpected vector length \" + matches.length + \" != \" + h.size;\n\tvar res = [];\n\tmatches.forEach(function(x) {\n\t\tvar v = x.replace(vtvregex,\"\").match(vtmregex);\n\t\tres.push({v:v[2], t:v[1]});\n\t});\n\treturn res;\n}\n\nvar wtregex = /(^\\s|\\s$|\\n)/;\nfunction writetag(f,g) {return '<' + f + (g.match(wtregex)?' xml:space=\"preserve\"' : \"\") + '>' + g + '</' + f + '>';}\n\nfunction wxt_helper(h) { return keys(h).map(function(k) { return \" \" + k + '=\"' + h[k] + '\"';}).join(\"\"); }\nfunction writextag(f,g,h) { return '<' + f + (isval(h) ? wxt_helper(h) : \"\") + (isval(g) ? (g.match(wtregex)?' xml:space=\"preserve\"' : \"\") + '>' + g + '</' + f : \"/\") + '>';}\n\nfunction write_w3cdtf(d, t) { try { return d.toISOString().replace(/\\.\\d*/,\"\"); } catch(e) { if(t) throw e; } }\n\nfunction write_vt(s) {\n\tswitch(typeof s) {\n\t\tcase 'string': return writextag('vt:lpwstr', s);\n\t\tcase 'number': return writextag((s|0)==s?'vt:i4':'vt:r8', String(s));\n\t\tcase 'boolean': return writextag('vt:bool',s?'true':'false');\n\t}\n\tif(s instanceof Date) return writextag('vt:filetime', write_w3cdtf(s));\n\tthrow new Error(\"Unable to serialize \" + s);\n}\n\nvar XML_HEADER = '<?xml version=\"1.0\" encoding=\"UTF-8\" standalone=\"yes\"?>\\r\\n';\nvar XMLNS = {\n\t'dc': 'http://purl.org/dc/elements/1.1/',\n\t'dcterms': 'http://purl.org/dc/terms/',\n\t'dcmitype': 'http://purl.org/dc/dcmitype/',\n\t'mx': 'http://schemas.microsoft.com/office/mac/excel/2008/main',\n\t'r': 'http://schemas.openxmlformats.org/officeDocument/2006/relationships',\n\t'sjs': 'http://schemas.openxmlformats.org/package/2006/sheetjs/core-properties',\n\t'vt': 'http://schemas.openxmlformats.org/officeDocument/2006/docPropsVTypes',\n\t'xsi': 'http://www.w3.org/2001/XMLSchema-instance',\n\t'xsd': 'http://www.w3.org/2001/XMLSchema'\n};\n\nXMLNS.main = [\n\t'http://schemas.openxmlformats.org/spreadsheetml/2006/main',\n\t'http://purl.oclc.org/ooxml/spreadsheetml/main',\n\t'http://schemas.microsoft.com/office/excel/2006/main',\n\t'http://schemas.microsoft.com/office/excel/2006/2'\n];\n\nfunction readIEEE754(buf, idx, isLE, nl, ml) {\n\tif(isLE === undefined) isLE = true;\n\tif(!nl) nl = 8;\n\tif(!ml && nl === 8) ml = 52;\n\tvar e, m, el = nl * 8 - ml - 1, eMax = (1 << el) - 1, eBias = eMax >> 1;\n\tvar bits = -7, d = isLE ? -1 : 1, i = isLE ? (nl - 1) : 0, s = buf[idx + i];\n\n\ti += d;\n\te = s & ((1 << (-bits)) - 1); s >>>= (-bits); bits += el;\n\tfor (; bits > 0; e = e * 256 + buf[idx + i], i += d, bits -= 8);\n\tm = e & ((1 << (-bits)) - 1); e >>>= (-bits); bits += ml;\n\tfor (; bits > 0; m = m * 256 + buf[idx + i], i += d, bits -= 8);\n\tif (e === eMax) return m ? NaN : ((s ? -1 : 1) * Infinity);\n\telse if (e === 0) e = 1 - eBias;\n\telse { m = m + Math.pow(2, ml); e = e - eBias; }\n\treturn (s ? -1 : 1) * m * Math.pow(2, e - ml);\n}\n\nvar __toBuffer, ___toBuffer;\n__toBuffer = ___toBuffer = function toBuffer_(bufs) { var x = []; for(var i = 0; i < bufs[0].length; ++i) { x.push.apply(x, bufs[0][i]); } return x; };\nvar __utf16le, ___utf16le;\n__utf16le = ___utf16le = function utf16le_(b,s,e) { var ss=[]; for(var i=s; i<e; i+=2) ss.push(String.fromCharCode(__readUInt16LE(b,i))); return ss.join(\"\"); };\nvar __hexlify, ___hexlify;\n__hexlify = ___hexlify = function hexlify_(b,s,l) { return b.slice(s,(s+l)).map(function(x){return (x<16?\"0\":\"\") + x.toString(16);}).join(\"\"); };\nvar __utf8, ___utf8;\n__utf8 = ___utf8 = function(b,s,e) { var ss=[]; for(var i=s; i<e; i++) ss.push(String.fromCharCode(__readUInt8(b,i))); return ss.join(\"\"); };\nvar __lpstr, ___lpstr;\n__lpstr = ___lpstr = function lpstr_(b,i) { var len = __readUInt32LE(b,i); return len > 0 ? __utf8(b, i+4,i+4+len-1) : \"\";};\nvar __lpwstr, ___lpwstr;\n__lpwstr = ___lpwstr = function lpwstr_(b,i) { var len = 2*__readUInt32LE(b,i); return len > 0 ? __utf8(b, i+4,i+4+len-1) : \"\";};\nvar __double, ___double;\n__double = ___double = function(b, idx) { return readIEEE754(b, idx);};\n\nvar is_buf = function is_buf_a(a) { return Array.isArray(a); };\nif(has_buf) {\n\t__utf16le = function utf16le_b(b,s,e) { if(!Buffer.isBuffer(b)) return ___utf16le(b,s,e); return b.toString('utf16le',s,e); };\n\t__hexlify = function(b,s,l) { return Buffer.isBuffer(b) ? b.toString('hex',s,s+l) : ___hexlify(b,s,l); };\n\t__lpstr = function lpstr_b(b,i) { if(!Buffer.isBuffer(b)) return ___lpstr(b, i); var len = b.readUInt32LE(i); return len > 0 ? b.toString('utf8',i+4,i+4+len-1) : \"\";};\n\t__lpwstr = function lpwstr_b(b,i) { if(!Buffer.isBuffer(b)) return ___lpwstr(b, i); var len = 2*b.readUInt32LE(i); return b.toString('utf16le',i+4,i+4+len-1);};\n\t__utf8 = function utf8_b(s,e) { return this.toString('utf8',s,e); };\n\t__toBuffer = function(bufs) { return (bufs[0].length > 0 && Buffer.isBuffer(bufs[0][0])) ? Buffer.concat(bufs[0]) : ___toBuffer(bufs);};\n\tbconcat = function(bufs) { return Buffer.isBuffer(bufs[0]) ? Buffer.concat(bufs) : [].concat.apply([], bufs); };\n\t__double = function double_(b,i) { if(Buffer.isBuffer(b)) return b.readDoubleLE(i); return ___double(b,i); };\n\tis_buf = function is_buf_b(a) { return Buffer.isBuffer(a) || Array.isArray(a); };\n}\n\n/* from js-xls */\nif(typeof cptable !== 'undefined') {\n\t__utf16le = function(b,s,e) { return cptable.utils.decode(1200, b.slice(s,e)); };\n\t__utf8 = function(b,s,e) { return cptable.utils.decode(65001, b.slice(s,e)); };\n\t__lpstr = function(b,i) { var len = __readUInt32LE(b,i); return len > 0 ? cptable.utils.decode(current_codepage, b.slice(i+4, i+4+len-1)) : \"\";};\n\t__lpwstr = function(b,i) { var len = 2*__readUInt32LE(b,i); return len > 0 ? cptable.utils.decode(1200, b.slice(i+4,i+4+len-1)) : \"\";};\n}\n\nvar __readUInt8 = function(b, idx) { return b[idx]; };\nvar __readUInt16LE = function(b, idx) { return b[idx+1]*(1<<8)+b[idx]; };\nvar __readInt16LE = function(b, idx) { var u = b[idx+1]*(1<<8)+b[idx]; return (u < 0x8000) ? u : (0xffff - u + 1) * -1; };\nvar __readUInt32LE = function(b, idx) { return b[idx+3]*(1<<24)+(b[idx+2]<<16)+(b[idx+1]<<8)+b[idx]; };\nvar __readInt32LE = function(b, idx) { return (b[idx+3]<<24)|(b[idx+2]<<16)|(b[idx+1]<<8)|b[idx]; };\n\nvar ___unhexlify = function(s) { return s.match(/../g).map(function(x) { return parseInt(x,16);}); };\nvar __unhexlify = typeof Buffer !== \"undefined\" ? function(s) { return Buffer.isBuffer(s) ? new Buffer(s, 'hex') : ___unhexlify(s); } : ___unhexlify;\n\nfunction ReadShift(size, t) {\n\tvar o=\"\", oI, oR, oo=[], w, vv, i, loc;\n\tswitch(t) {\n\t\tcase 'dbcs':\n\t\t\tloc = this.l;\n\t\t\tif(has_buf && Buffer.isBuffer(this)) o = this.slice(this.l, this.l+2*size).toString(\"utf16le\");\n\t\t\telse for(i = 0; i != size; ++i) { o+=String.fromCharCode(__readUInt16LE(this, loc)); loc+=2; }\n\t\t\tsize *= 2;\n\t\t\tbreak;\n\n\t\tcase 'utf8': o = __utf8(this, this.l, this.l + size); break;\n\t\tcase 'utf16le': size *= 2; o = __utf16le(this, this.l, this.l + size); break;\n\n\t\t/* [MS-OLEDS] 2.1.4 LengthPrefixedAnsiString */\n\t\tcase 'lpstr': o = __lpstr(this, this.l); size = 5 + o.length; break;\n\t\t/* [MS-OLEDS] 2.1.5 LengthPrefixedUnicodeString */\n\t\tcase 'lpwstr': o = __lpwstr(this, this.l); size = 5 + o.length; if(o[o.length-1] == '\\u0000') size += 2; break;\n\n\t\tcase 'cstr': size = 0; o = \"\";\n\t\t\twhile((w=__readUInt8(this, this.l + size++))!==0) oo.push(_getchar(w));\n\t\t\to = oo.join(\"\"); break;\n\t\tcase 'wstr': size = 0; o = \"\";\n\t\t\twhile((w=__readUInt16LE(this,this.l +size))!==0){oo.push(_getchar(w));size+=2;}\n\t\t\tsize+=2; o = oo.join(\"\"); break;\n\n\t\t/* sbcs and dbcs support continue records in the SST way TODO codepages */\n\t\tcase 'dbcs-cont': o = \"\"; loc = this.l;\n\t\t\tfor(i = 0; i != size; ++i) {\n\t\t\t\tif(this.lens && this.lens.indexOf(loc) !== -1) {\n\t\t\t\t\tw = __readUInt8(this, loc);\n\t\t\t\t\tthis.l = loc + 1;\n\t\t\t\t\tvv = ReadShift.call(this, size-i, w ? 'dbcs-cont' : 'sbcs-cont');\n\t\t\t\t\treturn oo.join(\"\") + vv;\n\t\t\t\t}\n\t\t\t\too.push(_getchar(__readUInt16LE(this, loc)));\n\t\t\t\tloc+=2;\n\t\t\t} o = oo.join(\"\"); size *= 2; break;\n\n\t\tcase 'sbcs-cont': o = \"\"; loc = this.l;\n\t\t\tfor(i = 0; i != size; ++i) {\n\t\t\t\tif(this.lens && this.lens.indexOf(loc) !== -1) {\n\t\t\t\t\tw = __readUInt8(this, loc);\n\t\t\t\t\tthis.l = loc + 1;\n\t\t\t\t\tvv = ReadShift.call(this, size-i, w ? 'dbcs-cont' : 'sbcs-cont');\n\t\t\t\t\treturn oo.join(\"\") + vv;\n\t\t\t\t}\n\t\t\t\too.push(_getchar(__readUInt8(this, loc)));\n\t\t\t\tloc+=1;\n\t\t\t} o = oo.join(\"\"); break;\n\n\t\tdefault:\n\tswitch(size) {\n\t\tcase 1: oI = __readUInt8(this, this.l); this.l++; return oI;\n\t\tcase 2: oI = (t === 'i' ? __readInt16LE : __readUInt16LE)(this, this.l); this.l += 2; return oI;\n\t\tcase 4:\n\t\t\tif(t === 'i' || (this[this.l+3] & 0x80)===0) { oI = __readInt32LE(this, this.l); this.l += 4; return oI; }\n\t\t\telse { oR = __readUInt32LE(this, this.l); this.l += 4; return oR; } break;\n\t\tcase 8: if(t === 'f') { oR = __double(this, this.l); this.l += 8; return oR; }\n\t\t/* falls through */\n\t\tcase 16: o = __hexlify(this, this.l, size); break;\n\t}}\n\tthis.l+=size; return o;\n}\n\nfunction WriteShift(t, val, f) {\n\tvar size, i;\n\tif(f === 'dbcs') {\n\t\tfor(i = 0; i != val.length; ++i) this.writeUInt16LE(val.charCodeAt(i), this.l + 2 * i);\n\t\tsize = 2 * val.length;\n\t} else switch(t) {\n\t\tcase  1: size = 1; this[this.l] = val&255; break;\n\t\tcase  3: size = 3; this[this.l+2] = val & 255; val >>>= 8; this[this.l+1] = val&255; val >>>= 8; this[this.l] = val&255; break;\n\t\tcase  4: size = 4; this.writeUInt32LE(val, this.l); break;\n\t\tcase  8: size = 8; if(f === 'f') { this.writeDoubleLE(val, this.l); break; }\n\t\t/* falls through */\n\t\tcase 16: break;\n\t\tcase -4: size = 4; this.writeInt32LE(val, this.l); break;\n\t}\n\tthis.l += size; return this;\n}\n\nfunction CheckField(hexstr, fld) {\n\tvar m = __hexlify(this,this.l,hexstr.length>>1);\n\tif(m !== hexstr) throw fld + 'Expected ' + hexstr + ' saw ' + m;\n\tthis.l += hexstr.length>>1;\n}\n\nfunction prep_blob(blob, pos) {\n\tblob.l = pos;\n\tblob.read_shift = ReadShift;\n\tblob.chk = CheckField;\n\tblob.write_shift = WriteShift;\n}\n\nfunction parsenoop(blob, length) { blob.l += length; }\n\nfunction writenoop(blob, length) { blob.l += length; }\n\nfunction new_buf(sz) {\n\tvar o = new_raw_buf(sz);\n\tprep_blob(o, 0);\n\treturn o;\n}\n\n/* [MS-XLSB] 2.1.4 Record */\nfunction recordhopper(data, cb, opts) {\n\tvar tmpbyte, cntbyte, length;\n\tprep_blob(data, data.l || 0);\n\twhile(data.l < data.length) {\n\t\tvar RT = data.read_shift(1);\n\t\tif(RT & 0x80) RT = (RT & 0x7F) + ((data.read_shift(1) & 0x7F)<<7);\n\t\tvar R = XLSBRecordEnum[RT] || XLSBRecordEnum[0xFFFF];\n\t\ttmpbyte = data.read_shift(1);\n\t\tlength = tmpbyte & 0x7F;\n\t\tfor(cntbyte = 1; cntbyte <4 && (tmpbyte & 0x80); ++cntbyte) length += ((tmpbyte = data.read_shift(1)) & 0x7F)<<(7*cntbyte);\n\t\tvar d = R.f(data, length, opts);\n\t\tif(cb(d, R, RT)) return;\n\t}\n}\n\n/* control buffer usage for fixed-length buffers */\nfunction buf_array() {\n\tvar bufs = [], blksz = 2048;\n\tvar newblk = function ba_newblk(sz) {\n\t\tvar o = new_buf(sz);\n\t\tprep_blob(o, 0);\n\t\treturn o;\n\t};\n\n\tvar curbuf = newblk(blksz);\n\n\tvar endbuf = function ba_endbuf() {\n\t\tcurbuf.length = curbuf.l;\n\t\tif(curbuf.length > 0) bufs.push(curbuf);\n\t\tcurbuf = null;\n\t};\n\n\tvar next = function ba_next(sz) {\n\t\tif(sz < curbuf.length - curbuf.l) return curbuf;\n\t\tendbuf();\n\t\treturn (curbuf = newblk(Math.max(sz+1, blksz)));\n\t};\n\n\tvar end = function ba_end() {\n\t\tendbuf();\n\t\treturn __toBuffer([bufs]);\n\t};\n\n\tvar push = function ba_push(buf) { endbuf(); curbuf = buf; next(blksz); };\n\n\treturn { next:next, push:push, end:end, _bufs:bufs };\n}\n\nfunction write_record(ba, type, payload, length) {\n\tvar t = evert_RE[type], l;\n\tif(!length) length = XLSBRecordEnum[t].p || (payload||[]).length || 0;\n\tl = 1 + (t >= 0x80 ? 1 : 0) + 1 + length;\n\tif(length >= 0x80) ++l; if(length >= 0x4000) ++l; if(length >= 0x200000) ++l;\n\tvar o = ba.next(l);\n\tif(t <= 0x7F) o.write_shift(1, t);\n\telse {\n\t\to.write_shift(1, (t & 0x7F) + 0x80);\n\t\to.write_shift(1, (t >> 7));\n\t}\n\tfor(var i = 0; i != 4; ++i) {\n\t\tif(length >= 0x80) { o.write_shift(1, (length & 0x7F)+0x80); length >>= 7; }\n\t\telse { o.write_shift(1, length); break; }\n\t}\n\tif(length > 0 && is_buf(payload)) ba.push(payload);\n}\n/* XLS ranges enforced */\nfunction shift_cell_xls(cell, tgt) {\n\tif(tgt.s) {\n\t\tif(cell.cRel) cell.c += tgt.s.c;\n\t\tif(cell.rRel) cell.r += tgt.s.r;\n\t} else {\n\t\tcell.c += tgt.c;\n\t\tcell.r += tgt.r;\n\t}\n\tcell.cRel = cell.rRel = 0;\n\twhile(cell.c >= 0x100) cell.c -= 0x100;\n\twhile(cell.r >= 0x10000) cell.r -= 0x10000;\n\treturn cell;\n}\n\nfunction shift_range_xls(cell, range) {\n\tcell.s = shift_cell_xls(cell.s, range.s);\n\tcell.e = shift_cell_xls(cell.e, range.s);\n\treturn cell;\n}\n\nvar OFFCRYPTO = {};\nvar make_offcrypto = function(O, _crypto) {\n\tvar crypto;\n\tif(typeof _crypto !== 'undefined') crypto = _crypto;\n\telse if(typeof require !== 'undefined') {\n\t\ttry { crypto = require('cry'+'pto'); }\n\t\tcatch(e) { crypto = null; }\n\t}\n\n\tO.rc4 = function(key, data) {\n\t\tvar S = new Array(256);\n\t\tvar c = 0, i = 0, j = 0, t = 0;\n\t\tfor(i = 0; i != 256; ++i) S[i] = i;\n\t\tfor(i = 0; i != 256; ++i) {\n\t\t\tj = (j + S[i] + (key[i%key.length]).charCodeAt(0))&255;\n\t\t\tt = S[i]; S[i] = S[j]; S[j] = t;\n\t\t}\n\t\ti = j = 0; out = Buffer(data.length);\n\t\tfor(c = 0; c != data.length; ++c) {\n\t\t\ti = (i + 1)&255;\n\t\t\tj = (j + S[i])%256;\n\t\t\tt = S[i]; S[i] = S[j]; S[j] = t;\n\t\t\tout[c] = (data[c] ^ S[(S[i]+S[j])&255]);\n\t\t}\n\t\treturn out;\n\t};\n\n\tif(crypto) {\n\t\tO.md5 = function(hex) { return crypto.createHash('md5').update(hex).digest('hex'); };\n\t} else {\n\t\tO.md5 = function(hex) { throw \"unimplemented\"; };\n\t}\n};\nmake_offcrypto(OFFCRYPTO, typeof crypto !== \"undefined\" ? crypto : undefined);\n\n\n/* [MS-XLSB] 2.5.143 */\nfunction parse_StrRun(data, length) {\n\treturn { ich: data.read_shift(2), ifnt: data.read_shift(2) };\n}\n\n/* [MS-XLSB] 2.1.7.121 */\nfunction parse_RichStr(data, length) {\n\tvar start = data.l;\n\tvar flags = data.read_shift(1);\n\tvar str = parse_XLWideString(data);\n\tvar rgsStrRun = [];\n\tvar z = { t: str, h: str };\n\tif((flags & 1) !== 0) { /* fRichStr */\n\t\t/* TODO: formatted string */\n\t\tvar dwSizeStrRun = data.read_shift(4);\n\t\tfor(var i = 0; i != dwSizeStrRun; ++i) rgsStrRun.push(parse_StrRun(data));\n\t\tz.r = rgsStrRun;\n\t}\n\telse z.r = \"<t>\" + escapexml(str) + \"</t>\";\n\tif((flags & 2) !== 0) { /* fExtStr */\n\t\t/* TODO: phonetic string */\n\t}\n\tdata.l = start + length;\n\treturn z;\n}\nfunction write_RichStr(str, o) {\n\t/* TODO: formatted string */\n\tif(o == null) o = new_buf(5+2*str.t.length);\n\to.write_shift(1,0);\n\twrite_XLWideString(str.t, o);\n\treturn o;\n}\n\n/* [MS-XLSB] 2.5.9 */\nfunction parse_XLSBCell(data) {\n\tvar col = data.read_shift(4);\n\tvar iStyleRef = data.read_shift(2);\n\tiStyleRef += data.read_shift(1) <<16;\n\tvar fPhShow = data.read_shift(1);\n\treturn { c:col, iStyleRef: iStyleRef };\n}\nfunction write_XLSBCell(cell, o) {\n\tif(o == null) o = new_buf(8);\n\to.write_shift(-4, cell.c);\n\to.write_shift(3, cell.iStyleRef === undefined ? cell.iStyleRef : cell.s);\n\to.write_shift(1, 0); /* fPhShow */\n\treturn o;\n}\n\n\n/* [MS-XLSB] 2.5.21 */\nfunction parse_XLSBCodeName (data, length) { return parse_XLWideString(data, length); }\n\n/* [MS-XLSB] 2.5.166 */\nfunction parse_XLNullableWideString(data) {\n\tvar cchCharacters = data.read_shift(4);\n\treturn cchCharacters === 0 || cchCharacters === 0xFFFFFFFF ? \"\" : data.read_shift(cchCharacters, 'dbcs');\n}\nfunction write_XLNullableWideString(data, o) {\n\tif(!o) o = new_buf(127);\n\to.write_shift(4, data.length > 0 ? data.length : 0xFFFFFFFF);\n\tif(data.length > 0) o.write_shift(0, data, 'dbcs');\n\treturn o;\n}\n\n/* [MS-XLSB] 2.5.168 */\nfunction parse_XLWideString(data) {\n\tvar cchCharacters = data.read_shift(4);\n\treturn cchCharacters === 0 ? \"\" : data.read_shift(cchCharacters, 'dbcs');\n}\nfunction write_XLWideString(data, o) {\n\tif(o == null) o = new_buf(4+2*data.length);\n\to.write_shift(4, data.length);\n\tif(data.length > 0) o.write_shift(0, data, 'dbcs');\n\treturn o;\n}\n\n/* [MS-XLSB] 2.5.114 */\nvar parse_RelID = parse_XLNullableWideString;\nvar write_RelID = write_XLNullableWideString;\n\n\n/* [MS-XLSB] 2.5.122 */\n/* [MS-XLS] 2.5.217 */\nfunction parse_RkNumber(data) {\n\tvar b = data.slice(data.l, data.l+4);\n\tvar fX100 = b[0] & 1, fInt = b[0] & 2;\n\tdata.l+=4;\n\tb[0] &= 0xFC; // b[0] &= ~3;\n\tvar RK = fInt === 0 ? __double([0,0,0,0,b[0],b[1],b[2],b[3]],0) : __readInt32LE(b,0)>>2;\n\treturn fX100 ? RK/100 : RK;\n}\n\n/* [MS-XLSB] 2.5.153 */\nfunction parse_UncheckedRfX(data) {\n\tvar cell = {s: {}, e: {}};\n\tcell.s.r = data.read_shift(4);\n\tcell.e.r = data.read_shift(4);\n\tcell.s.c = data.read_shift(4);\n\tcell.e.c = data.read_shift(4);\n\treturn cell;\n}\n\nfunction write_UncheckedRfX(r, o) {\n\tif(!o) o = new_buf(16);\n\to.write_shift(4, r.s.r);\n\to.write_shift(4, r.e.r);\n\to.write_shift(4, r.s.c);\n\to.write_shift(4, r.e.c);\n\treturn o;\n}\n\n/* [MS-XLSB] 2.5.171 */\n/* [MS-XLS] 2.5.342 */\nfunction parse_Xnum(data, length) { return data.read_shift(8, 'f'); }\nfunction write_Xnum(data, o) { return (o || new_buf(8)).write_shift(8, 'f', data); }\n\n/* [MS-XLSB] 2.5.198.2 */\nvar BErr = {\n\t0x00: \"#NULL!\",\n\t0x07: \"#DIV/0!\",\n\t0x0F: \"#VALUE!\",\n\t0x17: \"#REF!\",\n\t0x1D: \"#NAME?\",\n\t0x24: \"#NUM!\",\n\t0x2A: \"#N/A\",\n\t0x2B: \"#GETTING_DATA\",\n\t0xFF: \"#WTF?\"\n};\nvar RBErr = evert_num(BErr);\n\n/* [MS-XLSB] 2.4.321 BrtColor */\nfunction parse_BrtColor(data, length) {\n\tvar out = {};\n\tvar d = data.read_shift(1);\n\tout.fValidRGB = d & 1;\n\tout.xColorType = d >>> 1;\n\tout.index = data.read_shift(1);\n\tout.nTintAndShade = data.read_shift(2, 'i');\n\tout.bRed   = data.read_shift(1);\n\tout.bGreen = data.read_shift(1);\n\tout.bBlue  = data.read_shift(1);\n\tout.bAlpha = data.read_shift(1);\n}\n\n/* [MS-XLSB] 2.5.52 */\nfunction parse_FontFlags(data, length) {\n\tvar d = data.read_shift(1);\n\tdata.l++;\n\tvar out = {\n\t\tfItalic: d & 0x2,\n\t\tfStrikeout: d & 0x8,\n\t\tfOutline: d & 0x10,\n\t\tfShadow: d & 0x20,\n\t\tfCondense: d & 0x40,\n\t\tfExtend: d & 0x80\n\t};\n\treturn out;\n}\n/* [MS-OLEPS] 2.2 PropertyType */\n{\n\tvar VT_EMPTY    = 0x0000;\n\tvar VT_NULL     = 0x0001;\n\tvar VT_I2       = 0x0002;\n\tvar VT_I4       = 0x0003;\n\tvar VT_R4       = 0x0004;\n\tvar VT_R8       = 0x0005;\n\tvar VT_CY       = 0x0006;\n\tvar VT_DATE     = 0x0007;\n\tvar VT_BSTR     = 0x0008;\n\tvar VT_ERROR    = 0x000A;\n\tvar VT_BOOL     = 0x000B;\n\tvar VT_VARIANT  = 0x000C;\n\tvar VT_DECIMAL  = 0x000E;\n\tvar VT_I1       = 0x0010;\n\tvar VT_UI1      = 0x0011;\n\tvar VT_UI2      = 0x0012;\n\tvar VT_UI4      = 0x0013;\n\tvar VT_I8       = 0x0014;\n\tvar VT_UI8      = 0x0015;\n\tvar VT_INT      = 0x0016;\n\tvar VT_UINT     = 0x0017;\n\tvar VT_LPSTR    = 0x001E;\n\tvar VT_LPWSTR   = 0x001F;\n\tvar VT_FILETIME = 0x0040;\n\tvar VT_BLOB     = 0x0041;\n\tvar VT_STREAM   = 0x0042;\n\tvar VT_STORAGE  = 0x0043;\n\tvar VT_STREAMED_Object  = 0x0044;\n\tvar VT_STORED_Object    = 0x0045;\n\tvar VT_BLOB_Object      = 0x0046;\n\tvar VT_CF       = 0x0047;\n\tvar VT_CLSID    = 0x0048;\n\tvar VT_VERSIONED_STREAM = 0x0049;\n\tvar VT_VECTOR   = 0x1000;\n\tvar VT_ARRAY    = 0x2000;\n\n\tvar VT_STRING   = 0x0050; // 2.3.3.1.11 VtString\n\tvar VT_USTR     = 0x0051; // 2.3.3.1.12 VtUnalignedString\n\tvar VT_CUSTOM   = [VT_STRING, VT_USTR];\n}\n\n/* [MS-OSHARED] 2.3.3.2.2.1 Document Summary Information PIDDSI */\nvar DocSummaryPIDDSI = {\n\t0x01: { n: 'CodePage', t: VT_I2 },\n\t0x02: { n: 'Category', t: VT_STRING },\n\t0x03: { n: 'PresentationFormat', t: VT_STRING },\n\t0x04: { n: 'ByteCount', t: VT_I4 },\n\t0x05: { n: 'LineCount', t: VT_I4 },\n\t0x06: { n: 'ParagraphCount', t: VT_I4 },\n\t0x07: { n: 'SlideCount', t: VT_I4 },\n\t0x08: { n: 'NoteCount', t: VT_I4 },\n\t0x09: { n: 'HiddenCount', t: VT_I4 },\n\t0x0a: { n: 'MultimediaClipCount', t: VT_I4 },\n\t0x0b: { n: 'Scale', t: VT_BOOL },\n\t0x0c: { n: 'HeadingPair', t: VT_VECTOR | VT_VARIANT },\n\t0x0d: { n: 'DocParts', t: VT_VECTOR | VT_LPSTR },\n\t0x0e: { n: 'Manager', t: VT_STRING },\n\t0x0f: { n: 'Company', t: VT_STRING },\n\t0x10: { n: 'LinksDirty', t: VT_BOOL },\n\t0x11: { n: 'CharacterCount', t: VT_I4 },\n\t0x13: { n: 'SharedDoc', t: VT_BOOL },\n\t0x16: { n: 'HLinksChanged', t: VT_BOOL },\n\t0x17: { n: 'AppVersion', t: VT_I4, p: 'version' },\n\t0x1A: { n: 'ContentType', t: VT_STRING },\n\t0x1B: { n: 'ContentStatus', t: VT_STRING },\n\t0x1C: { n: 'Language', t: VT_STRING },\n\t0x1D: { n: 'Version', t: VT_STRING },\n\t0xFF: {}\n};\n\n/* [MS-OSHARED] 2.3.3.2.1.1 Summary Information Property Set PIDSI */\nvar SummaryPIDSI = {\n\t0x01: { n: 'CodePage', t: VT_I2 },\n\t0x02: { n: 'Title', t: VT_STRING },\n\t0x03: { n: 'Subject', t: VT_STRING },\n\t0x04: { n: 'Author', t: VT_STRING },\n\t0x05: { n: 'Keywords', t: VT_STRING },\n\t0x06: { n: 'Comments', t: VT_STRING },\n\t0x07: { n: 'Template', t: VT_STRING },\n\t0x08: { n: 'LastAuthor', t: VT_STRING },\n\t0x09: { n: 'RevNumber', t: VT_STRING },\n\t0x0A: { n: 'EditTime', t: VT_FILETIME },\n\t0x0B: { n: 'LastPrinted', t: VT_FILETIME },\n\t0x0C: { n: 'CreatedDate', t: VT_FILETIME },\n\t0x0D: { n: 'ModifiedDate', t: VT_FILETIME },\n\t0x0E: { n: 'PageCount', t: VT_I4 },\n\t0x0F: { n: 'WordCount', t: VT_I4 },\n\t0x10: { n: 'CharCount', t: VT_I4 },\n\t0x11: { n: 'Thumbnail', t: VT_CF },\n\t0x12: { n: 'ApplicationName', t: VT_LPSTR },\n\t0x13: { n: 'DocumentSecurity', t: VT_I4 },\n\t0xFF: {}\n};\n\n/* [MS-OLEPS] 2.18 */\nvar SpecialProperties = {\n\t0x80000000: { n: 'Locale', t: VT_UI4 },\n\t0x80000003: { n: 'Behavior', t: VT_UI4 },\n\t0x72627262: {}\n};\n\n(function() {\n\tfor(var y in SpecialProperties) if(SpecialProperties.hasOwnProperty(y))\n\tDocSummaryPIDDSI[y] = SummaryPIDSI[y] = SpecialProperties[y];\n})();\n\n/* [MS-XLS] 2.4.63 Country/Region codes */\nvar CountryEnum = {\n\t0x0001: \"US\", // United States\n\t0x0002: \"CA\", // Canada\n\t0x0003: \"\", // Latin America (except Brazil)\n\t0x0007: \"RU\", // Russia\n\t0x0014: \"EG\", // Egypt\n\t0x001E: \"GR\", // Greece\n\t0x001F: \"NL\", // Netherlands\n\t0x0020: \"BE\", // Belgium\n\t0x0021: \"FR\", // France\n\t0x0022: \"ES\", // Spain\n\t0x0024: \"HU\", // Hungary\n\t0x0027: \"IT\", // Italy\n\t0x0029: \"CH\", // Switzerland\n\t0x002B: \"AT\", // Austria\n\t0x002C: \"GB\", // United Kingdom\n\t0x002D: \"DK\", // Denmark\n\t0x002E: \"SE\", // Sweden\n\t0x002F: \"NO\", // Norway\n\t0x0030: \"PL\", // Poland\n\t0x0031: \"DE\", // Germany\n\t0x0034: \"MX\", // Mexico\n\t0x0037: \"BR\", // Brazil\n\t0x003d: \"AU\", // Australia\n\t0x0040: \"NZ\", // New Zealand\n\t0x0042: \"TH\", // Thailand\n\t0x0051: \"JP\", // Japan\n\t0x0052: \"KR\", // Korea\n\t0x0054: \"VN\", // Viet Nam\n\t0x0056: \"CN\", // China\n\t0x005A: \"TR\", // Turkey\n\t0x0069: \"JS\", // Ramastan\n\t0x00D5: \"DZ\", // Algeria\n\t0x00D8: \"MA\", // Morocco\n\t0x00DA: \"LY\", // Libya\n\t0x015F: \"PT\", // Portugal\n\t0x0162: \"IS\", // Iceland\n\t0x0166: \"FI\", // Finland\n\t0x01A4: \"CZ\", // Czech Republic\n\t0x0376: \"TW\", // Taiwan\n\t0x03C1: \"LB\", // Lebanon\n\t0x03C2: \"JO\", // Jordan\n\t0x03C3: \"SY\", // Syria\n\t0x03C4: \"IQ\", // Iraq\n\t0x03C5: \"KW\", // Kuwait\n\t0x03C6: \"SA\", // Saudi Arabia\n\t0x03CB: \"AE\", // United Arab Emirates\n\t0x03CC: \"IL\", // Israel\n\t0x03CE: \"QA\", // Qatar\n\t0x03D5: \"IR\", // Iran\n\t0xFFFF: \"US\"  // United States\n};\n\n/* [MS-XLS] 2.5.127 */\nvar XLSFillPattern = [\n\tnull,\n\t'solid',\n\t'mediumGray',\n\t'darkGray',\n\t'lightGray',\n\t'darkHorizontal',\n\t'darkVertical',\n\t'darkDown',\n\t'darkUp',\n\t'darkGrid',\n\t'darkTrellis',\n\t'lightHorizontal',\n\t'lightVertical',\n\t'lightDown',\n\t'lightUp',\n\t'lightGrid',\n\t'lightTrellis',\n\t'gray125',\n\t'gray0625'\n];\n\nfunction rgbify(arr) { return arr.map(function(x) { return [(x>>16)&255,(x>>8)&255,x&255]; }); }\n\n/* [MS-XLS] 2.5.161 */\nvar XLSIcv = rgbify([\n\t/* Color Constants */\n\t0x000000,\n\t0xFFFFFF,\n\t0xFF0000,\n\t0x00FF00,\n\t0x0000FF,\n\t0xFFFF00,\n\t0xFF00FF,\n\t0x00FFFF,\n\n\t/* Defaults */\n\t0x000000,\n\t0xFFFFFF,\n\t0xFF0000,\n\t0x00FF00,\n\t0x0000FF,\n\t0xFFFF00,\n\t0xFF00FF,\n\t0x00FFFF,\n\n\t0x800000,\n\t0x008000,\n\t0x000080,\n\t0x808000,\n\t0x800080,\n\t0x008080,\n\t0xC0C0C0,\n\t0x808080,\n\t0x9999FF,\n\t0x993366,\n\t0xFFFFCC,\n\t0xCCFFFF,\n\t0x660066,\n\t0xFF8080,\n\t0x0066CC,\n\t0xCCCCFF,\n\n\t0x000080,\n\t0xFF00FF,\n\t0xFFFF00,\n\t0x00FFFF,\n\t0x800080,\n\t0x800000,\n\t0x008080,\n\t0x0000FF,\n\t0x00CCFF,\n\t0xCCFFFF,\n\t0xCCFFCC,\n\t0xFFFF99,\n\t0x99CCFF,\n\t0xFF99CC,\n\t0xCC99FF,\n\t0xFFCC99,\n\n\t0x3366FF,\n\t0x33CCCC,\n\t0x99CC00,\n\t0xFFCC00,\n\t0xFF9900,\n\t0xFF6600,\n\t0x666699,\n\t0x969696,\n\t0x003366,\n\t0x339966,\n\t0x003300,\n\t0x333300,\n\t0x993300,\n\t0x993366,\n\t0x333399,\n\t0x333333,\n\n\t/* Sheet */\n\t0xFFFFFF,\n\t0x000000\n]);\n\n/* Parts enumerated in OPC spec, MS-XLSB and MS-XLSX */\n/* 12.3 Part Summary <SpreadsheetML> */\n/* 14.2 Part Summary <DrawingML> */\n/* [MS-XLSX] 2.1 Part Enumerations */\n/* [MS-XLSB] 2.1.7 Part Enumeration */\nvar ct2type = {\n\t/* Workbook */\n\t\"application/vnd.openxmlformats-officedocument.spreadsheetml.sheet.main+xml\": \"workbooks\",\n\n\t/* Worksheet */\n\t\"application/vnd.ms-excel.binIndexWs\": \"TODO\", /* Binary Index */\n\n\t/* Chartsheet */\n\t\"application/vnd.ms-excel.chartsheet\": \"TODO\",\n\t\"application/vnd.openxmlformats-officedocument.spreadsheetml.chartsheet+xml\": \"TODO\",\n\n\t/* Dialogsheet */\n\t\"application/vnd.ms-excel.dialogsheet\": \"TODO\",\n\t\"application/vnd.openxmlformats-officedocument.spreadsheetml.dialogsheet+xml\": \"TODO\",\n\n\t/* Macrosheet */\n\t\"application/vnd.ms-excel.macrosheet\": \"TODO\",\n\t\"application/vnd.ms-excel.macrosheet+xml\": \"TODO\",\n\t\"application/vnd.ms-excel.intlmacrosheet\": \"TODO\",\n\t\"application/vnd.ms-excel.binIndexMs\": \"TODO\", /* Binary Index */\n\n\t/* File Properties */\n\t\"application/vnd.openxmlformats-package.core-properties+xml\": \"coreprops\",\n\t\"application/vnd.openxmlformats-officedocument.custom-properties+xml\": \"custprops\",\n\t\"application/vnd.openxmlformats-officedocument.extended-properties+xml\": \"extprops\",\n\n\t/* Custom Data Properties */\n\t\"application/vnd.openxmlformats-officedocument.customXmlProperties+xml\": \"TODO\",\n\n\t/* Comments */\n\t\"application/vnd.ms-excel.comments\": \"comments\",\n\t\"application/vnd.openxmlformats-officedocument.spreadsheetml.comments+xml\": \"comments\",\n\n\t/* PivotTable */\n\t\"application/vnd.ms-excel.pivotTable\": \"TODO\",\n\t\"application/vnd.openxmlformats-officedocument.spreadsheetml.pivotTable+xml\": \"TODO\",\n\n\t/* Calculation Chain */\n\t\"application/vnd.ms-excel.calcChain\": \"calcchains\",\n\t\"application/vnd.openxmlformats-officedocument.spreadsheetml.calcChain+xml\": \"calcchains\",\n\n\t/* Printer Settings */\n\t\"application/vnd.openxmlformats-officedocument.spreadsheetml.printerSettings\": \"TODO\",\n\n\t/* ActiveX */\n\t\"application/vnd.ms-office.activeX\": \"TODO\",\n\t\"application/vnd.ms-office.activeX+xml\": \"TODO\",\n\n\t/* Custom Toolbars */\n\t\"application/vnd.ms-excel.attachedToolbars\": \"TODO\",\n\n\t/* External Data Connections */\n\t\"application/vnd.ms-excel.connections\": \"TODO\",\n\t\"application/vnd.openxmlformats-officedocument.spreadsheetml.connections+xml\": \"TODO\",\n\n\t/* External Links */\n\t\"application/vnd.ms-excel.externalLink\": \"TODO\",\n\t\"application/vnd.openxmlformats-officedocument.spreadsheetml.externalLink+xml\": \"TODO\",\n\n\t/* Metadata */\n\t\"application/vnd.ms-excel.sheetMetadata\": \"TODO\",\n\t\"application/vnd.openxmlformats-officedocument.spreadsheetml.sheetMetadata+xml\": \"TODO\",\n\n\t/* PivotCache */\n\t\"application/vnd.ms-excel.pivotCacheDefinition\": \"TODO\",\n\t\"application/vnd.ms-excel.pivotCacheRecords\": \"TODO\",\n\t\"application/vnd.openxmlformats-officedocument.spreadsheetml.pivotCacheDefinition+xml\": \"TODO\",\n\t\"application/vnd.openxmlformats-officedocument.spreadsheetml.pivotCacheRecords+xml\": \"TODO\",\n\n\t/* Query Table */\n\t\"application/vnd.ms-excel.queryTable\": \"TODO\",\n\t\"application/vnd.openxmlformats-officedocument.spreadsheetml.queryTable+xml\": \"TODO\",\n\n\t/* Shared Workbook */\n\t\"application/vnd.ms-excel.userNames\": \"TODO\",\n\t\"application/vnd.ms-excel.revisionHeaders\": \"TODO\",\n\t\"application/vnd.ms-excel.revisionLog\": \"TODO\",\n\t\"application/vnd.openxmlformats-officedocument.spreadsheetml.revisionHeaders+xml\": \"TODO\",\n\t\"application/vnd.openxmlformats-officedocument.spreadsheetml.revisionLog+xml\": \"TODO\",\n\t\"application/vnd.openxmlformats-officedocument.spreadsheetml.userNames+xml\": \"TODO\",\n\n\t/* Single Cell Table */\n\t\"application/vnd.ms-excel.tableSingleCells\": \"TODO\",\n\t\"application/vnd.openxmlformats-officedocument.spreadsheetml.tableSingleCells+xml\": \"TODO\",\n\n\t/* Slicer */\n\t\"application/vnd.ms-excel.slicer\": \"TODO\",\n\t\"application/vnd.ms-excel.slicerCache\": \"TODO\",\n\t\"application/vnd.ms-excel.slicer+xml\": \"TODO\",\n\t\"application/vnd.ms-excel.slicerCache+xml\": \"TODO\",\n\n\t/* Sort Map */\n\t\"application/vnd.ms-excel.wsSortMap\": \"TODO\",\n\n\t/* Table */\n\t\"application/vnd.ms-excel.table\": \"TODO\",\n\t\"application/vnd.openxmlformats-officedocument.spreadsheetml.table+xml\": \"TODO\",\n\n\t/* Themes */\n\t\"application/vnd.openxmlformats-officedocument.theme+xml\": \"themes\",\n\n\t/* Timeline */\n\t\"application/vnd.ms-excel.Timeline+xml\": \"TODO\", /* verify */\n\t\"application/vnd.ms-excel.TimelineCache+xml\": \"TODO\", /* verify */\n\n\t/* VBA */\n\t\"application/vnd.ms-office.vbaProject\": \"vba\",\n\t\"application/vnd.ms-office.vbaProjectSignature\": \"vba\",\n\n\t/* Volatile Dependencies */\n\t\"application/vnd.ms-office.volatileDependencies\": \"TODO\",\n\t\"application/vnd.openxmlformats-officedocument.spreadsheetml.volatileDependencies+xml\": \"TODO\",\n\n\t/* Control Properties */\n\t\"application/vnd.ms-excel.controlproperties+xml\": \"TODO\",\n\n\t/* Data Model */\n\t\"application/vnd.openxmlformats-officedocument.model+data\": \"TODO\",\n\n\t/* Survey */\n\t\"application/vnd.ms-excel.Survey+xml\": \"TODO\",\n\n\t/* Drawing */\n\t\"application/vnd.openxmlformats-officedocument.drawing+xml\": \"TODO\",\n\t\"application/vnd.openxmlformats-officedocument.drawingml.chart+xml\": \"TODO\",\n\t\"application/vnd.openxmlformats-officedocument.drawingml.chartshapes+xml\": \"TODO\",\n\t\"application/vnd.openxmlformats-officedocument.drawingml.diagramColors+xml\": \"TODO\",\n\t\"application/vnd.openxmlformats-officedocument.drawingml.diagramData+xml\": \"TODO\",\n\t\"application/vnd.openxmlformats-officedocument.drawingml.diagramLayout+xml\": \"TODO\",\n\t\"application/vnd.openxmlformats-officedocument.drawingml.diagramStyle+xml\": \"TODO\",\n\n\t/* VML */\n\t\"application/vnd.openxmlformats-officedocument.vmlDrawing\": \"TODO\",\n\n\t\"application/vnd.openxmlformats-package.relationships+xml\": \"rels\",\n\t\"application/vnd.openxmlformats-officedocument.oleObject\": \"TODO\",\n\n\t\"sheet\": \"js\"\n};\n\nvar CT_LIST = (function(){\n\tvar o = {\n\t\tworkbooks: {\n\t\t\txlsx: \"application/vnd.openxmlformats-officedocument.spreadsheetml.sheet.main+xml\",\n\t\t\txlsm: \"application/vnd.ms-excel.sheet.macroEnabled.main+xml\",\n\t\t\txlsb: \"application/vnd.ms-excel.sheet.binary.macroEnabled.main\",\n\t\t\txltx: \"application/vnd.openxmlformats-officedocument.spreadsheetml.template.main+xml\"\n\t\t},\n\t\tstrs: { /* Shared Strings */\n\t\t\txlsx: \"application/vnd.openxmlformats-officedocument.spreadsheetml.sharedStrings+xml\",\n\t\t\txlsb: \"application/vnd.ms-excel.sharedStrings\"\n\t\t},\n\t\tsheets: {\n\t\t\txlsx: \"application/vnd.openxmlformats-officedocument.spreadsheetml.worksheet+xml\",\n\t\t\txlsb: \"application/vnd.ms-excel.worksheet\"\n\t\t},\n\t\tstyles: {/* Styles */\n\t\t\txlsx: \"application/vnd.openxmlformats-officedocument.spreadsheetml.styles+xml\",\n\t\t\txlsb: \"application/vnd.ms-excel.styles\"\n\t\t}\n\t};\n\tkeys(o).forEach(function(k) { if(!o[k].xlsm) o[k].xlsm = o[k].xlsx; });\n\tkeys(o).forEach(function(k){ keys(o[k]).forEach(function(v) { ct2type[o[k][v]] = k; }); });\n\treturn o;\n})();\n\nvar type2ct = evert_arr(ct2type);\n\nXMLNS.CT = 'http://schemas.openxmlformats.org/package/2006/content-types';\n\nfunction parse_ct(data, opts) {\n\tvar ctext = {};\n\tif(!data || !data.match) return data;\n\tvar ct = { workbooks: [], sheets: [], calcchains: [], themes: [], styles: [],\n\t\tcoreprops: [], extprops: [], custprops: [], strs:[], comments: [], vba: [],\n\t\tTODO:[], rels:[], xmlns: \"\" };\n\t(data.match(tagregex)||[]).forEach(function(x) {\n\t\tvar y = parsexmltag(x);\n\t\tswitch(y[0].replace(nsregex,\"<\")) {\n\t\t\tcase '<?xml': break;\n\t\t\tcase '<Types': ct.xmlns = y['xmlns' + (y[0].match(/<(\\w+):/)||[\"\",\"\"])[1] ]; break;\n\t\t\tcase '<Default': ctext[y.Extension] = y.ContentType; break;\n\t\t\tcase '<Override':\n\t\t\t\tif(ct[ct2type[y.ContentType]] !== undefined) ct[ct2type[y.ContentType]].push(y.PartName);\n\t\t\t\telse if(opts.WTF) console.error(y);\n\t\t\t\tbreak;\n\t\t}\n\t});\n\tif(ct.xmlns !== XMLNS.CT) throw new Error(\"Unknown Namespace: \" + ct.xmlns);\n\tct.calcchain = ct.calcchains.length > 0 ? ct.calcchains[0] : \"\";\n\tct.sst = ct.strs.length > 0 ? ct.strs[0] : \"\";\n\tct.style = ct.styles.length > 0 ? ct.styles[0] : \"\";\n\tct.defaults = ctext;\n\tdelete ct.calcchains;\n\treturn ct;\n}\n\nvar CTYPE_XML_ROOT = writextag('Types', null, {\n\t'xmlns': XMLNS.CT,\n\t'xmlns:xsd': XMLNS.xsd,\n\t'xmlns:xsi': XMLNS.xsi\n});\n\nvar CTYPE_DEFAULTS = [\n\t['xml', 'application/xml'],\n\t['bin', 'application/vnd.ms-excel.sheet.binary.macroEnabled.main'],\n\t['rels', type2ct.rels[0]]\n].map(function(x) {\n\treturn writextag('Default', null, {'Extension':x[0], 'ContentType': x[1]});\n});\n\nfunction write_ct(ct, opts) {\n\tvar o = [], v;\n\to[o.length] = (XML_HEADER);\n\to[o.length] = (CTYPE_XML_ROOT);\n\to = o.concat(CTYPE_DEFAULTS);\n\tvar f1 = function(w) {\n\t\tif(ct[w] && ct[w].length > 0) {\n\t\t\tv = ct[w][0];\n\t\t\to[o.length] = (writextag('Override', null, {\n\t\t\t\t'PartName': (v[0] == '/' ? \"\":\"/\") + v,\n\t\t\t\t'ContentType': CT_LIST[w][opts.bookType || 'xlsx']\n\t\t\t}));\n\t\t}\n\t};\n\tvar f2 = function(w) {\n\t\tct[w].forEach(function(v) {\n\t\t\to[o.length] = (writextag('Override', null, {\n\t\t\t\t'PartName': (v[0] == '/' ? \"\":\"/\") + v,\n\t\t\t\t'ContentType': CT_LIST[w][opts.bookType || 'xlsx']\n\t\t\t}));\n\t\t});\n\t};\n\tvar f3 = function(t) {\n\t\t(ct[t]||[]).forEach(function(v) {\n\t\t\to[o.length] = (writextag('Override', null, {\n\t\t\t\t'PartName': (v[0] == '/' ? \"\":\"/\") + v,\n\t\t\t\t'ContentType': type2ct[t][0]\n\t\t\t}));\n\t\t});\n\t};\n\tf1('workbooks');\n\tf2('sheets');\n\tf3('themes');\n\t['strs', 'styles'].forEach(f1);\n\t['coreprops', 'extprops', 'custprops'].forEach(f3);\n\tif(o.length>2){ o[o.length] = ('</Types>'); o[1]=o[1].replace(\"/>\",\">\"); }\n\treturn o.join(\"\");\n}\n/* 9.3.2 OPC Relationships Markup */\nvar RELS = {\n\tWB: \"http://schemas.openxmlformats.org/officeDocument/2006/relationships/officeDocument\",\n\tSHEET: \"http://sheetjs.openxmlformats.org/officeDocument/2006/relationships/officeDocument\"\n};\n\nfunction parse_rels(data, currentFilePath) {\n\tif (!data) return data;\n\tif (currentFilePath.charAt(0) !== '/') {\n\t\tcurrentFilePath = '/'+currentFilePath;\n\t}\n\tvar rels = {};\n\tvar hash = {};\n\tvar resolveRelativePathIntoAbsolute = function (to) {\n\t\tvar toksFrom = currentFilePath.split('/');\n\t\ttoksFrom.pop(); // folder path\n\t\tvar toksTo = to.split('/');\n\t\tvar reversed = [];\n\t\twhile (toksTo.length !== 0) {\n\t\t\tvar tokTo = toksTo.shift();\n\t\t\tif (tokTo === '..') {\n\t\t\t\ttoksFrom.pop();\n\t\t\t} else if (tokTo !== '.') {\n\t\t\t\ttoksFrom.push(tokTo);\n\t\t\t}\n\t\t}\n\t\treturn toksFrom.join('/');\n\t};\n\n\tdata.match(tagregex).forEach(function(x) {\n\t\tvar y = parsexmltag(x);\n\t\t/* 9.3.2.2 OPC_Relationships */\n\t\tif (y[0] === '<Relationship') {\n\t\t\tvar rel = {}; rel.Type = y.Type; rel.Target = y.Target; rel.Id = y.Id; rel.TargetMode = y.TargetMode;\n\t\t\tvar canonictarget = y.TargetMode === 'External' ? y.Target : resolveRelativePathIntoAbsolute(y.Target);\n\t\t\trels[canonictarget] = rel;\n\t\t\thash[y.Id] = rel;\n\t\t}\n\t});\n\trels[\"!id\"] = hash;\n\treturn rels;\n}\n\nXMLNS.RELS = 'http://schemas.openxmlformats.org/package/2006/relationships';\n\nvar RELS_ROOT = writextag('Relationships', null, {\n\t//'xmlns:ns0': XMLNS.RELS,\n\t'xmlns': XMLNS.RELS\n});\n\n/* TODO */\nfunction write_rels(rels) {\n\tvar o = [];\n\to[o.length] = (XML_HEADER);\n\to[o.length] = (RELS_ROOT);\n\tkeys(rels['!id']).forEach(function(rid) { var rel = rels['!id'][rid];\n\t\to[o.length] = (writextag('Relationship', null, rel));\n\t});\n\tif(o.length>2){ o[o.length] = ('</Relationships>'); o[1]=o[1].replace(\"/>\",\">\"); }\n\treturn o.join(\"\");\n}\n/* ECMA-376 Part II 11.1 Core Properties Part */\n/* [MS-OSHARED] 2.3.3.2.[1-2].1 (PIDSI/PIDDSI) */\nvar CORE_PROPS = [\n\t[\"cp:category\", \"Category\"],\n\t[\"cp:contentStatus\", \"ContentStatus\"],\n\t[\"cp:keywords\", \"Keywords\"],\n\t[\"cp:lastModifiedBy\", \"LastAuthor\"],\n\t[\"cp:lastPrinted\", \"LastPrinted\"],\n\t[\"cp:revision\", \"RevNumber\"],\n\t[\"cp:version\", \"Version\"],\n\t[\"dc:creator\", \"Author\"],\n\t[\"dc:description\", \"Comments\"],\n\t[\"dc:identifier\", \"Identifier\"],\n\t[\"dc:language\", \"Language\"],\n\t[\"dc:subject\", \"Subject\"],\n\t[\"dc:title\", \"Title\"],\n\t[\"dcterms:created\", \"CreatedDate\", 'date'],\n\t[\"dcterms:modified\", \"ModifiedDate\", 'date']\n];\n\nXMLNS.CORE_PROPS = \"http://schemas.openxmlformats.org/package/2006/metadata/core-properties\";\nRELS.CORE_PROPS  = 'http://schemas.openxmlformats.org/package/2006/relationships/metadata/core-properties';\n\nvar CORE_PROPS_REGEX = (function() {\n\tvar r = new Array(CORE_PROPS.length);\n\tfor(var i = 0; i < CORE_PROPS.length; ++i) {\n\t\tvar f = CORE_PROPS[i];\n\t\tvar g = \"(?:\"+ f[0].substr(0,f[0].indexOf(\":\")) +\":)\"+ f[0].substr(f[0].indexOf(\":\")+1);\n\t\tr[i] = new RegExp(\"<\" + g + \"[^>]*>(.*)<\\/\" + g + \">\");\n\t}\n\treturn r;\n})();\n\nfunction parse_core_props(data) {\n\tvar p = {};\n\n\tfor(var i = 0; i < CORE_PROPS.length; ++i) {\n\t\tvar f = CORE_PROPS[i], cur = data.match(CORE_PROPS_REGEX[i]);\n\t\tif(cur != null && cur.length > 0) p[f[1]] = cur[1];\n\t\tif(f[2] === 'date' && p[f[1]]) p[f[1]] = new Date(p[f[1]]);\n\t}\n\n\treturn p;\n}\n\nvar CORE_PROPS_XML_ROOT = writextag('cp:coreProperties', null, {\n\t//'xmlns': XMLNS.CORE_PROPS,\n\t'xmlns:cp': XMLNS.CORE_PROPS,\n\t'xmlns:dc': XMLNS.dc,\n\t'xmlns:dcterms': XMLNS.dcterms,\n\t'xmlns:dcmitype': XMLNS.dcmitype,\n\t'xmlns:xsi': XMLNS.xsi\n});\n\nfunction cp_doit(f, g, h, o, p) {\n\tif(p[f] != null || g == null || g === \"\") return;\n\tp[f] = g;\n\to[o.length] = (h ? writextag(f,g,h) : writetag(f,g));\n}\n\nfunction write_core_props(cp, opts) {\n\tvar o = [XML_HEADER, CORE_PROPS_XML_ROOT], p = {};\n\tif(!cp) return o.join(\"\");\n\n\n\tif(cp.CreatedDate != null) cp_doit(\"dcterms:created\", typeof cp.CreatedDate === \"string\" ? cp.CreatedDate : write_w3cdtf(cp.CreatedDate, opts.WTF), {\"xsi:type\":\"dcterms:W3CDTF\"}, o, p);\n\tif(cp.ModifiedDate != null) cp_doit(\"dcterms:modified\", typeof cp.ModifiedDate === \"string\" ? cp.ModifiedDate : write_w3cdtf(cp.ModifiedDate, opts.WTF), {\"xsi:type\":\"dcterms:W3CDTF\"}, o, p);\n\n\tfor(var i = 0; i != CORE_PROPS.length; ++i) { var f = CORE_PROPS[i]; cp_doit(f[0], cp[f[1]], null, o, p); }\n\tif(o.length>2){ o[o.length] = ('</cp:coreProperties>'); o[1]=o[1].replace(\"/>\",\">\"); }\n\treturn o.join(\"\");\n}\n/* 15.2.12.3 Extended File Properties Part */\n/* [MS-OSHARED] 2.3.3.2.[1-2].1 (PIDSI/PIDDSI) */\nvar EXT_PROPS = [\n\t[\"Application\", \"Application\", \"string\"],\n\t[\"AppVersion\", \"AppVersion\", \"string\"],\n\t[\"Company\", \"Company\", \"string\"],\n\t[\"DocSecurity\", \"DocSecurity\", \"string\"],\n\t[\"Manager\", \"Manager\", \"string\"],\n\t[\"HyperlinksChanged\", \"HyperlinksChanged\", \"bool\"],\n\t[\"SharedDoc\", \"SharedDoc\", \"bool\"],\n\t[\"LinksUpToDate\", \"LinksUpToDate\", \"bool\"],\n\t[\"ScaleCrop\", \"ScaleCrop\", \"bool\"],\n\t[\"HeadingPairs\", \"HeadingPairs\", \"raw\"],\n\t[\"TitlesOfParts\", \"TitlesOfParts\", \"raw\"]\n];\n\nXMLNS.EXT_PROPS = \"http://schemas.openxmlformats.org/officeDocument/2006/extended-properties\";\nRELS.EXT_PROPS  = 'http://schemas.openxmlformats.org/officeDocument/2006/relationships/extended-properties';\n\nfunction parse_ext_props(data, p) {\n\tvar q = {}; if(!p) p = {};\n\n\tEXT_PROPS.forEach(function(f) {\n\t\tswitch(f[2]) {\n\t\t\tcase \"string\": p[f[1]] = (data.match(matchtag(f[0]))||[])[1]; break;\n\t\t\tcase \"bool\": p[f[1]] = (data.match(matchtag(f[0]))||[])[1] === \"true\"; break;\n\t\t\tcase \"raw\":\n\t\t\t\tvar cur = data.match(new RegExp(\"<\" + f[0] + \"[^>]*>(.*)<\\/\" + f[0] + \">\"));\n\t\t\t\tif(cur && cur.length > 0) q[f[1]] = cur[1];\n\t\t\t\tbreak;\n\t\t}\n\t});\n\n\tif(q.HeadingPairs && q.TitlesOfParts) {\n\t\tvar v = parseVector(q.HeadingPairs);\n\t\tvar j = 0, widx = 0;\n\t\tfor(var i = 0; i !== v.length; ++i) {\n\t\t\tswitch(v[i].v) {\n\t\t\t\tcase \"Worksheets\": widx = j; p.Worksheets = +(v[++i].v); break;\n\t\t\t\tcase \"Named Ranges\": ++i; break; // TODO: Handle Named Ranges\n\t\t\t}\n\t\t}\n\t\tvar parts = parseVector(q.TitlesOfParts).map(function(x) { return utf8read(x.v); });\n\t\tp.SheetNames = parts.slice(widx, widx + p.Worksheets);\n\t}\n\treturn p;\n}\n\nvar EXT_PROPS_XML_ROOT = writextag('Properties', null, {\n\t'xmlns': XMLNS.EXT_PROPS,\n\t'xmlns:vt': XMLNS.vt\n});\n\nfunction write_ext_props(cp, opts) {\n\tvar o = [], p = {}, W = writextag;\n\tif(!cp) cp = {};\n\tcp.Application = \"SheetJS\";\n\to[o.length] = (XML_HEADER);\n\to[o.length] = (EXT_PROPS_XML_ROOT);\n\n\tEXT_PROPS.forEach(function(f) {\n\t\tif(cp[f[1]] === undefined) return;\n\t\tvar v;\n\t\tswitch(f[2]) {\n\t\t\tcase 'string': v = cp[f[1]]; break;\n\t\t\tcase 'bool': v = cp[f[1]] ? 'true' : 'false'; break;\n\t\t}\n\t\tif(v !== undefined) o[o.length] = (W(f[0], v));\n\t});\n\n\t/* TODO: HeadingPairs, TitlesOfParts */\n\to[o.length] = (W('HeadingPairs', W('vt:vector', W('vt:variant', '<vt:lpstr>Worksheets</vt:lpstr>')+W('vt:variant', W('vt:i4', String(cp.Worksheets))), {size:2, baseType:\"variant\"})));\n\to[o.length] = (W('TitlesOfParts', W('vt:vector', cp.SheetNames.map(function(s) { return \"<vt:lpstr>\" + s + \"</vt:lpstr>\"; }).join(\"\"), {size: cp.Worksheets, baseType:\"lpstr\"})));\n\tif(o.length>2){ o[o.length] = ('</Properties>'); o[1]=o[1].replace(\"/>\",\">\"); }\n\treturn o.join(\"\");\n}\n/* 15.2.12.2 Custom File Properties Part */\nXMLNS.CUST_PROPS = \"http://schemas.openxmlformats.org/officeDocument/2006/custom-properties\";\nRELS.CUST_PROPS  = 'http://schemas.openxmlformats.org/officeDocument/2006/relationships/custom-properties';\n\nvar custregex = /<[^>]+>[^<]*/g;\nfunction parse_cust_props(data, opts) {\n\tvar p = {}, name;\n\tvar m = data.match(custregex);\n\tif(m) for(var i = 0; i != m.length; ++i) {\n\t\tvar x = m[i], y = parsexmltag(x);\n\t\tswitch(y[0]) {\n\t\t\tcase '<?xml': break;\n\t\t\tcase '<Properties':\n\t\t\t\tif(y.xmlns !== XMLNS.CUST_PROPS) throw \"unrecognized xmlns \" + y.xmlns;\n\t\t\t\tif(y.xmlnsvt && y.xmlnsvt !== XMLNS.vt) throw \"unrecognized vt \" + y.xmlnsvt;\n\t\t\t\tbreak;\n\t\t\tcase '<property': name = y.name; break;\n\t\t\tcase '</property>': name = null; break;\n\t\t\tdefault: if (x.indexOf('<vt:') === 0) {\n\t\t\t\tvar toks = x.split('>');\n\t\t\t\tvar type = toks[0].substring(4), text = toks[1];\n\t\t\t\t/* 22.4.2.32 (CT_Variant). Omit the binary types from 22.4 (Variant Types) */\n\t\t\t\tswitch(type) {\n\t\t\t\t\tcase 'lpstr': case 'lpwstr': case 'bstr': case 'lpwstr':\n\t\t\t\t\t\tp[name] = unescapexml(text);\n\t\t\t\t\t\tbreak;\n\t\t\t\t\tcase 'bool':\n\t\t\t\t\t\tp[name] = parsexmlbool(text, '<vt:bool>');\n\t\t\t\t\t\tbreak;\n\t\t\t\t\tcase 'i1': case 'i2': case 'i4': case 'i8': case 'int': case 'uint':\n\t\t\t\t\t\tp[name] = parseInt(text, 10);\n\t\t\t\t\t\tbreak;\n\t\t\t\t\tcase 'r4': case 'r8': case 'decimal':\n\t\t\t\t\t\tp[name] = parseFloat(text);\n\t\t\t\t\t\tbreak;\n\t\t\t\t\tcase 'filetime': case 'date':\n\t\t\t\t\t\tp[name] = new Date(text);\n\t\t\t\t\t\tbreak;\n\t\t\t\t\tcase 'cy': case 'error':\n\t\t\t\t\t\tp[name] = unescapexml(text);\n\t\t\t\t\t\tbreak;\n\t\t\t\t\tdefault:\n\t\t\t\t\t\tif(typeof console !== 'undefined') console.warn('Unexpected', x, type, toks);\n\t\t\t\t}\n\t\t\t} else if(x.substr(0,2) === \"</\") {\n\t\t\t} else if(opts.WTF) throw new Error(x);\n\t\t}\n\t}\n\treturn p;\n}\n\nvar CUST_PROPS_XML_ROOT = writextag('Properties', null, {\n\t'xmlns': XMLNS.CUST_PROPS,\n\t'xmlns:vt': XMLNS.vt\n});\n\nfunction write_cust_props(cp, opts) {\n\tvar o = [XML_HEADER, CUST_PROPS_XML_ROOT];\n\tif(!cp) return o.join(\"\");\n\tvar pid = 1;\n\tkeys(cp).forEach(function custprop(k) { ++pid;\n\t\to[o.length] = (writextag('property', write_vt(cp[k]), {\n\t\t\t'fmtid': '{D5CDD505-2E9C-101B-9397-08002B2CF9AE}',\n\t\t\t'pid': pid,\n\t\t\t'name': k\n\t\t}));\n\t});\n\tif(o.length>2){ o[o.length] = '</Properties>'; o[1]=o[1].replace(\"/>\",\">\"); }\n\treturn o.join(\"\");\n}\nfunction xlml_set_prop(Props, tag, val) {\n\t/* TODO: Normalize the properties */\n\tswitch(tag) {\n\t\tcase 'Description': tag = 'Comments'; break;\n\t}\n\tProps[tag] = val;\n}\n\n/* [MS-DTYP] 2.3.3 FILETIME */\n/* [MS-OLEDS] 2.1.3 FILETIME (Packet Version) */\n/* [MS-OLEPS] 2.8 FILETIME (Packet Version) */\nfunction parse_FILETIME(blob) {\n\tvar dwLowDateTime = blob.read_shift(4), dwHighDateTime = blob.read_shift(4);\n\treturn new Date(((dwHighDateTime/1e7*Math.pow(2,32) + dwLowDateTime/1e7) - 11644473600)*1000).toISOString().replace(/\\.000/,\"\");\n}\n\n/* [MS-OSHARED] 2.3.3.1.4 Lpstr */\nfunction parse_lpstr(blob, type, pad) {\n\tvar str = blob.read_shift(0, 'lpstr');\n\tif(pad) blob.l += (4 - ((str.length+1) & 3)) & 3;\n\treturn str;\n}\n\n/* [MS-OSHARED] 2.3.3.1.6 Lpwstr */\nfunction parse_lpwstr(blob, type, pad) {\n\tvar str = blob.read_shift(0, 'lpwstr');\n\tif(pad) blob.l += (4 - ((str.length+1) & 3)) & 3;\n\treturn str;\n}\n\n\n/* [MS-OSHARED] 2.3.3.1.11 VtString */\n/* [MS-OSHARED] 2.3.3.1.12 VtUnalignedString */\nfunction parse_VtStringBase(blob, stringType, pad) {\n\tif(stringType === 0x1F /*VT_LPWSTR*/) return parse_lpwstr(blob);\n\treturn parse_lpstr(blob, stringType, pad);\n}\n\nfunction parse_VtString(blob, t, pad) { return parse_VtStringBase(blob, t, pad === false ? 0: 4); }\nfunction parse_VtUnalignedString(blob, t) { if(!t) throw new Error(\"dafuq?\"); return parse_VtStringBase(blob, t, 0); }\n\n/* [MS-OSHARED] 2.3.3.1.9 VtVecUnalignedLpstrValue */\nfunction parse_VtVecUnalignedLpstrValue(blob) {\n\tvar length = blob.read_shift(4);\n\tvar ret = [];\n\tfor(var i = 0; i != length; ++i) ret[i] = blob.read_shift(0, 'lpstr');\n\treturn ret;\n}\n\n/* [MS-OSHARED] 2.3.3.1.10 VtVecUnalignedLpstr */\nfunction parse_VtVecUnalignedLpstr(blob) {\n\treturn parse_VtVecUnalignedLpstrValue(blob);\n}\n\n/* [MS-OSHARED] 2.3.3.1.13 VtHeadingPair */\nfunction parse_VtHeadingPair(blob) {\n\tvar headingString = parse_TypedPropertyValue(blob, VT_USTR);\n\tvar headerParts = parse_TypedPropertyValue(blob, VT_I4);\n\treturn [headingString, headerParts];\n}\n\n/* [MS-OSHARED] 2.3.3.1.14 VtVecHeadingPairValue */\nfunction parse_VtVecHeadingPairValue(blob) {\n\tvar cElements = blob.read_shift(4);\n\tvar out = [];\n\tfor(var i = 0; i != cElements / 2; ++i) out.push(parse_VtHeadingPair(blob));\n\treturn out;\n}\n\n/* [MS-OSHARED] 2.3.3.1.15 VtVecHeadingPair */\nfunction parse_VtVecHeadingPair(blob) {\n\t// NOTE: When invoked, wType & padding were already consumed\n\treturn parse_VtVecHeadingPairValue(blob);\n}\n\n/* [MS-OLEPS] 2.18.1 Dictionary (uses 2.17, 2.16) */\nfunction parse_dictionary(blob,CodePage) {\n\tvar cnt = blob.read_shift(4);\n\tvar dict = {};\n\tfor(var j = 0; j != cnt; ++j) {\n\t\tvar pid = blob.read_shift(4);\n\t\tvar len = blob.read_shift(4);\n\t\tdict[pid] = blob.read_shift(len, (CodePage === 0x4B0 ?'utf16le':'utf8')).replace(chr0,'').replace(chr1,'!');\n\t}\n\tif(blob.l & 3) blob.l = (blob.l>>2+1)<<2;\n\treturn dict;\n}\n\n/* [MS-OLEPS] 2.9 BLOB */\nfunction parse_BLOB(blob) {\n\tvar size = blob.read_shift(4);\n\tvar bytes = blob.slice(blob.l,blob.l+size);\n\tif(size & 3 > 0) blob.l += (4 - (size & 3)) & 3;\n\treturn bytes;\n}\n\n/* [MS-OLEPS] 2.11 ClipboardData */\nfunction parse_ClipboardData(blob) {\n\t// TODO\n\tvar o = {};\n\to.Size = blob.read_shift(4);\n\t//o.Format = blob.read_shift(4);\n\tblob.l += o.Size;\n\treturn o;\n}\n\n/* [MS-OLEPS] 2.14 Vector and Array Property Types */\nfunction parse_VtVector(blob, cb) {\n\t/* [MS-OLEPS] 2.14.2 VectorHeader */\n/*\tvar Length = blob.read_shift(4);\n\tvar o = [];\n\tfor(var i = 0; i != Length; ++i) {\n\t\to.push(cb(blob));\n\t}\n\treturn o;*/\n}\n\n/* [MS-OLEPS] 2.15 TypedPropertyValue */\nfunction parse_TypedPropertyValue(blob, type, _opts) {\n\tvar t = blob.read_shift(2), ret, opts = _opts||{};\n\tblob.l += 2;\n\tif(type !== VT_VARIANT)\n\tif(t !== type && VT_CUSTOM.indexOf(type)===-1) throw new Error('Expected type ' + type + ' saw ' + t);\n\tswitch(type === VT_VARIANT ? t : type) {\n\t\tcase 0x02 /*VT_I2*/: ret = blob.read_shift(2, 'i'); if(!opts.raw) blob.l += 2; return ret;\n\t\tcase 0x03 /*VT_I4*/: ret = blob.read_shift(4, 'i'); return ret;\n\t\tcase 0x0B /*VT_BOOL*/: return blob.read_shift(4) !== 0x0;\n\t\tcase 0x13 /*VT_UI4*/: ret = blob.read_shift(4); return ret;\n\t\tcase 0x1E /*VT_LPSTR*/: return parse_lpstr(blob, t, 4).replace(chr0,'');\n\t\tcase 0x1F /*VT_LPWSTR*/: return parse_lpwstr(blob);\n\t\tcase 0x40 /*VT_FILETIME*/: return parse_FILETIME(blob);\n\t\tcase 0x41 /*VT_BLOB*/: return parse_BLOB(blob);\n\t\tcase 0x47 /*VT_CF*/: return parse_ClipboardData(blob);\n\t\tcase 0x50 /*VT_STRING*/: return parse_VtString(blob, t, !opts.raw && 4).replace(chr0,'');\n\t\tcase 0x51 /*VT_USTR*/: return parse_VtUnalignedString(blob, t, 4).replace(chr0,'');\n\t\tcase 0x100C /*VT_VECTOR|VT_VARIANT*/: return parse_VtVecHeadingPair(blob);\n\t\tcase 0x101E /*VT_LPSTR*/: return parse_VtVecUnalignedLpstr(blob);\n\t\tdefault: throw new Error(\"TypedPropertyValue unrecognized type \" + type + \" \" + t);\n\t}\n}\n/* [MS-OLEPS] 2.14.2 VectorHeader */\n/*function parse_VTVectorVariant(blob) {\n\tvar Length = blob.read_shift(4);\n\n\tif(Length & 1 !== 0) throw new Error(\"VectorHeader Length=\" + Length + \" must be even\");\n\tvar o = [];\n\tfor(var i = 0; i != Length; ++i) {\n\t\to.push(parse_TypedPropertyValue(blob, VT_VARIANT));\n\t}\n\treturn o;\n}*/\n\n/* [MS-OLEPS] 2.20 PropertySet */\nfunction parse_PropertySet(blob, PIDSI) {\n\tvar start_addr = blob.l;\n\tvar size = blob.read_shift(4);\n\tvar NumProps = blob.read_shift(4);\n\tvar Props = [], i = 0;\n\tvar CodePage = 0;\n\tvar Dictionary = -1, DictObj;\n\tfor(i = 0; i != NumProps; ++i) {\n\t\tvar PropID = blob.read_shift(4);\n\t\tvar Offset = blob.read_shift(4);\n\t\tProps[i] = [PropID, Offset + start_addr];\n\t}\n\tvar PropH = {};\n\tfor(i = 0; i != NumProps; ++i) {\n\t\tif(blob.l !== Props[i][1]) {\n\t\t\tvar fail = true;\n\t\t\tif(i>0 && PIDSI) switch(PIDSI[Props[i-1][0]].t) {\n\t\t\t\tcase 0x02 /*VT_I2*/: if(blob.l +2 === Props[i][1]) { blob.l+=2; fail = false; } break;\n\t\t\t\tcase 0x50 /*VT_STRING*/: if(blob.l <= Props[i][1]) { blob.l=Props[i][1]; fail = false; } break;\n\t\t\t\tcase 0x100C /*VT_VECTOR|VT_VARIANT*/: if(blob.l <= Props[i][1]) { blob.l=Props[i][1]; fail = false; } break;\n\t\t\t}\n\t\t\tif(!PIDSI && blob.l <= Props[i][1]) { fail=false; blob.l = Props[i][1]; }\n\t\t\tif(fail) throw new Error(\"Read Error: Expected address \" + Props[i][1] + ' at ' + blob.l + ' :' + i);\n\t\t}\n\t\tif(PIDSI) {\n\t\t\tvar piddsi = PIDSI[Props[i][0]];\n\t\t\tPropH[piddsi.n] = parse_TypedPropertyValue(blob, piddsi.t, {raw:true});\n\t\t\tif(piddsi.p === 'version') PropH[piddsi.n] = String(PropH[piddsi.n] >> 16) + \".\" + String(PropH[piddsi.n] & 0xFFFF);\n\t\t\tif(piddsi.n == \"CodePage\") switch(PropH[piddsi.n]) {\n\t\t\t\tcase 0: PropH[piddsi.n] = 1252;\n\t\t\t\t\t/* falls through */\n\t\t\t\tcase 10000: // OSX Roman\n\t\t\t\tcase 1252: // Windows Latin\n\n\t\t\t\tcase 874: // SB Windows Thai\n\t\t\t\tcase 1250: // SB Windows Central Europe\n\t\t\t\tcase 1251: // SB Windows Cyrillic\n\t\t\t\tcase 1253: // SB Windows Greek\n\t\t\t\tcase 1254: // SB Windows Turkish\n\t\t\t\tcase 1255: // SB Windows Hebrew\n\t\t\t\tcase 1256: // SB Windows Arabic\n\t\t\t\tcase 1257: // SB Windows Baltic\n\t\t\t\tcase 1258: // SB Windows Vietnam\n\n\t\t\t\tcase 932: // DB Windows Japanese Shift-JIS\n\t\t\t\tcase 936: // DB Windows Simplified Chinese GBK\n\t\t\t\tcase 949: // DB Windows Korean\n\t\t\t\tcase 950: // DB Windows Traditional Chinese Big5\n\n\t\t\t\tcase 1200: // UTF16LE\n\t\t\t\tcase 1201: // UTF16BE\n\t\t\t\tcase 65000: case -536: // UTF-7\n\t\t\t\tcase 65001: case -535: // UTF-8\n\t\t\t\t\tset_cp(CodePage = PropH[piddsi.n]); break;\n\t\t\t\tdefault: throw new Error(\"Unsupported CodePage: \" + PropH[piddsi.n]);\n\t\t\t}\n\t\t} else {\n\t\t\tif(Props[i][0] === 0x1) {\n\t\t\t\tCodePage = PropH.CodePage = parse_TypedPropertyValue(blob, VT_I2);\n\t\t\t\tset_cp(CodePage);\n\t\t\t\tif(Dictionary !== -1) {\n\t\t\t\t\tvar oldpos = blob.l;\n\t\t\t\t\tblob.l = Props[Dictionary][1];\n\t\t\t\t\tDictObj = parse_dictionary(blob,CodePage);\n\t\t\t\t\tblob.l = oldpos;\n\t\t\t\t}\n\t\t\t} else if(Props[i][0] === 0) {\n\t\t\t\tif(CodePage === 0) { Dictionary = i; blob.l = Props[i+1][1]; continue; }\n\t\t\t\tDictObj = parse_dictionary(blob,CodePage);\n\t\t\t} else {\n\t\t\t\tvar name = DictObj[Props[i][0]];\n\t\t\t\tvar val;\n\t\t\t\t/* [MS-OSHARED] 2.3.3.2.3.1.2 + PROPVARIANT */\n\t\t\t\tswitch(blob[blob.l]) {\n\t\t\t\t\tcase 0x41 /*VT_BLOB*/: blob.l += 4; val = parse_BLOB(blob); break;\n\t\t\t\t\tcase 0x1E /*VT_LPSTR*/: blob.l += 4; val = parse_VtString(blob, blob[blob.l-4]); break;\n\t\t\t\t\tcase 0x1F /*VT_LPWSTR*/: blob.l += 4; val = parse_VtString(blob, blob[blob.l-4]); break;\n\t\t\t\t\tcase 0x03 /*VT_I4*/: blob.l += 4; val = blob.read_shift(4, 'i'); break;\n\t\t\t\t\tcase 0x13 /*VT_UI4*/: blob.l += 4; val = blob.read_shift(4); break;\n\t\t\t\t\tcase 0x05 /*VT_R8*/: blob.l += 4; val = blob.read_shift(8, 'f'); break;\n\t\t\t\t\tcase 0x0B /*VT_BOOL*/: blob.l += 4; val = parsebool(blob, 4); break;\n\t\t\t\t\tcase 0x40 /*VT_FILETIME*/: blob.l += 4; val = new Date(parse_FILETIME(blob)); break;\n\t\t\t\t\tdefault: throw new Error(\"unparsed value: \" + blob[blob.l]);\n\t\t\t\t}\n\t\t\t\tPropH[name] = val;\n\t\t\t}\n\t\t}\n\t}\n\tblob.l = start_addr + size; /* step ahead to skip padding */\n\treturn PropH;\n}\n\n/* [MS-OLEPS] 2.21 PropertySetStream */\nfunction parse_PropertySetStream(file, PIDSI) {\n\tvar blob = file.content;\n\tprep_blob(blob, 0);\n\n\tvar NumSets, FMTID0, FMTID1, Offset0, Offset1;\n\tblob.chk('feff', 'Byte Order: ');\n\n\tvar vers = blob.read_shift(2); // TODO: check version\n\tvar SystemIdentifier = blob.read_shift(4);\n\tblob.chk(CFB.utils.consts.HEADER_CLSID, 'CLSID: ');\n\tNumSets = blob.read_shift(4);\n\tif(NumSets !== 1 && NumSets !== 2) throw \"Unrecognized #Sets: \" + NumSets;\n\tFMTID0 = blob.read_shift(16); Offset0 = blob.read_shift(4);\n\n\tif(NumSets === 1 && Offset0 !== blob.l) throw \"Length mismatch\";\n\telse if(NumSets === 2) { FMTID1 = blob.read_shift(16); Offset1 = blob.read_shift(4); }\n\tvar PSet0 = parse_PropertySet(blob, PIDSI);\n\n\tvar rval = { SystemIdentifier: SystemIdentifier };\n\tfor(var y in PSet0) rval[y] = PSet0[y];\n\t//rval.blob = blob;\n\trval.FMTID = FMTID0;\n\t//rval.PSet0 = PSet0;\n\tif(NumSets === 1) return rval;\n\tif(blob.l !== Offset1) throw \"Length mismatch 2: \" + blob.l + \" !== \" + Offset1;\n\tvar PSet1;\n\ttry { PSet1 = parse_PropertySet(blob, null); } catch(e) { }\n\tfor(y in PSet1) rval[y] = PSet1[y];\n\trval.FMTID = [FMTID0, FMTID1]; // TODO: verify FMTID0/1\n\treturn rval;\n}\n\n\nfunction parsenoop2(blob, length) { blob.read_shift(length); return null; }\n\nfunction parslurp(blob, length, cb) {\n\tvar arr = [], target = blob.l + length;\n\twhile(blob.l < target) arr.push(cb(blob, target - blob.l));\n\tif(target !== blob.l) throw new Error(\"Slurp error\");\n\treturn arr;\n}\n\nfunction parslurp2(blob, length, cb) {\n\tvar arr = [], target = blob.l + length, len = blob.read_shift(2);\n\twhile(len-- !== 0) arr.push(cb(blob, target - blob.l));\n\tif(target !== blob.l) throw new Error(\"Slurp error\");\n\treturn arr;\n}\n\nfunction parsebool(blob, length) { return blob.read_shift(length) === 0x1; }\n\nfunction parseuint16(blob) { return blob.read_shift(2, 'u'); }\nfunction parseuint16a(blob, length) { return parslurp(blob,length,parseuint16);}\n\n/* --- 2.5 Structures --- */\n\n/* [MS-XLS] 2.5.14 Boolean */\nvar parse_Boolean = parsebool;\n\n/* [MS-XLS] 2.5.10 Bes (boolean or error) */\nfunction parse_Bes(blob) {\n\tvar v = blob.read_shift(1), t = blob.read_shift(1);\n\treturn t === 0x01 ? v : v === 0x01;\n}\n\n/* [MS-XLS] 2.5.240 ShortXLUnicodeString */\nfunction parse_ShortXLUnicodeString(blob, length, opts) {\n\tvar cch = blob.read_shift(1);\n\tvar width = 1, encoding = 'sbcs-cont';\n\tvar cp = current_codepage;\n\tif(opts && opts.biff >= 8) current_codepage = 1200;\n\tif(opts === undefined || opts.biff !== 5) {\n\t\tvar fHighByte = blob.read_shift(1);\n\t\tif(fHighByte) { width = 2; encoding = 'dbcs-cont'; }\n\t}\n\tvar o = cch ? blob.read_shift(cch, encoding) : \"\";\n\tcurrent_codepage = cp;\n\treturn o;\n}\n\n/* 2.5.293 XLUnicodeRichExtendedString */\nfunction parse_XLUnicodeRichExtendedString(blob) {\n\tvar cp = current_codepage;\n\tcurrent_codepage = 1200;\n\tvar cch = blob.read_shift(2), flags = blob.read_shift(1);\n\tvar fHighByte = flags & 0x1, fExtSt = flags & 0x4, fRichSt = flags & 0x8;\n\tvar width = 1 + (flags & 0x1); // 0x0 -> utf8, 0x1 -> dbcs\n\tvar cRun, cbExtRst;\n\tvar z = {};\n\tif(fRichSt) cRun = blob.read_shift(2);\n\tif(fExtSt) cbExtRst = blob.read_shift(4);\n\tvar encoding = (flags & 0x1) ? 'dbcs-cont' : 'sbcs-cont';\n\tvar msg = cch === 0 ? \"\" : blob.read_shift(cch, encoding);\n\tif(fRichSt) blob.l += 4 * cRun; //TODO: parse this\n\tif(fExtSt) blob.l += cbExtRst; //TODO: parse this\n\tz.t = msg;\n\tif(!fRichSt) { z.raw = \"<t>\" + z.t + \"</t>\"; z.r = z.t; }\n\tcurrent_codepage = cp;\n\treturn z;\n}\n\n/* 2.5.296 XLUnicodeStringNoCch */\nfunction parse_XLUnicodeStringNoCch(blob, cch, opts) {\n\tvar retval;\n\tvar fHighByte = blob.read_shift(1);\n\tif(fHighByte===0) { retval = blob.read_shift(cch, 'sbcs-cont'); }\n\telse { retval = blob.read_shift(cch, 'dbcs-cont'); }\n\treturn retval;\n}\n\n/* 2.5.294 XLUnicodeString */\nfunction parse_XLUnicodeString(blob, length, opts) {\n\tvar cch = blob.read_shift(opts !== undefined && opts.biff > 0 && opts.biff < 8 ? 1 : 2);\n\tif(cch === 0) { blob.l++; return \"\"; }\n\treturn parse_XLUnicodeStringNoCch(blob, cch, opts);\n}\n/* BIFF5 override */\nfunction parse_XLUnicodeString2(blob, length, opts) {\n\tif(opts.biff !== 5 && opts.biff !== 2) return parse_XLUnicodeString(blob, length, opts);\n\tvar cch = blob.read_shift(1);\n\tif(cch === 0) { blob.l++; return \"\"; }\n\treturn blob.read_shift(cch, 'sbcs-cont');\n}\n\n/* [MS-XLS] 2.5.61 ControlInfo */\nvar parse_ControlInfo = parsenoop;\n\n/* [MS-OSHARED] 2.3.7.6 URLMoniker TODO: flags */\nvar parse_URLMoniker = function(blob, length) {\n\tvar len = blob.read_shift(4), start = blob.l;\n\tvar extra = false;\n\tif(len > 24) {\n\t\t/* look ahead */\n\t\tblob.l += len - 24;\n\t\tif(blob.read_shift(16) === \"795881f43b1d7f48af2c825dc4852763\") extra = true;\n\t\tblob.l = start;\n\t}\n\tvar url = blob.read_shift((extra?len-24:len)>>1, 'utf16le').replace(chr0,\"\");\n\tif(extra) blob.l += 24;\n\treturn url;\n};\n\n/* [MS-OSHARED] 2.3.7.8 FileMoniker TODO: all fields */\nvar parse_FileMoniker = function(blob, length) {\n\tvar cAnti = blob.read_shift(2);\n\tvar ansiLength = blob.read_shift(4);\n\tvar ansiPath = blob.read_shift(ansiLength, 'cstr');\n\tvar endServer = blob.read_shift(2);\n\tvar versionNumber = blob.read_shift(2);\n\tvar cbUnicodePathSize = blob.read_shift(4);\n\tif(cbUnicodePathSize === 0) return ansiPath.replace(/\\\\/g,\"/\");\n\tvar cbUnicodePathBytes = blob.read_shift(4);\n\tvar usKeyValue = blob.read_shift(2);\n\tvar unicodePath = blob.read_shift(cbUnicodePathBytes>>1, 'utf16le').replace(chr0,\"\");\n\treturn unicodePath;\n};\n\n/* [MS-OSHARED] 2.3.7.2 HyperlinkMoniker TODO: all the monikers */\nvar parse_HyperlinkMoniker = function(blob, length) {\n\tvar clsid = blob.read_shift(16); length -= 16;\n\tswitch(clsid) {\n\t\tcase \"e0c9ea79f9bace118c8200aa004ba90b\": return parse_URLMoniker(blob, length);\n\t\tcase \"0303000000000000c000000000000046\": return parse_FileMoniker(blob, length);\n\t\tdefault: throw \"unsupported moniker \" + clsid;\n\t}\n};\n\n/* [MS-OSHARED] 2.3.7.9 HyperlinkString */\nvar parse_HyperlinkString = function(blob, length) {\n\tvar len = blob.read_shift(4);\n\tvar o = blob.read_shift(len, 'utf16le').replace(chr0, \"\");\n\treturn o;\n};\n\n/* [MS-OSHARED] 2.3.7.1 Hyperlink Object TODO: unify params with XLSX */\nvar parse_Hyperlink = function(blob, length) {\n\tvar end = blob.l + length;\n\tvar sVer = blob.read_shift(4);\n\tif(sVer !== 2) throw new Error(\"Unrecognized streamVersion: \" + sVer);\n\tvar flags = blob.read_shift(2);\n\tblob.l += 2;\n\tvar displayName, targetFrameName, moniker, oleMoniker, location, guid, fileTime;\n\tif(flags & 0x0010) displayName = parse_HyperlinkString(blob, end - blob.l);\n\tif(flags & 0x0080) targetFrameName = parse_HyperlinkString(blob, end - blob.l);\n\tif((flags & 0x0101) === 0x0101) moniker = parse_HyperlinkString(blob, end - blob.l);\n\tif((flags & 0x0101) === 0x0001) oleMoniker = parse_HyperlinkMoniker(blob, end - blob.l);\n\tif(flags & 0x0008) location = parse_HyperlinkString(blob, end - blob.l);\n\tif(flags & 0x0020) guid = blob.read_shift(16);\n\tif(flags & 0x0040) fileTime = parse_FILETIME(blob, 8);\n\tblob.l = end;\n\tvar target = (targetFrameName||moniker||oleMoniker);\n\tif(location) target+=\"#\"+location;\n\treturn {Target: target};\n};\n\n/* 2.5.178 LongRGBA */\nfunction parse_LongRGBA(blob, length) { var r = blob.read_shift(1), g = blob.read_shift(1), b = blob.read_shift(1), a = blob.read_shift(1); return [r,g,b,a]; }\n\n/* 2.5.177 LongRGB */\nfunction parse_LongRGB(blob, length) { var x = parse_LongRGBA(blob, length); x[3] = 0; return x; }\n\n\n/* --- MS-XLS --- */\n\n/* 2.5.19 */\nfunction parse_XLSCell(blob, length) {\n\tvar rw = blob.read_shift(2); // 0-indexed\n\tvar col = blob.read_shift(2);\n\tvar ixfe = blob.read_shift(2);\n\treturn {r:rw, c:col, ixfe:ixfe};\n}\n\n/* 2.5.134 */\nfunction parse_frtHeader(blob) {\n\tvar rt = blob.read_shift(2);\n\tvar flags = blob.read_shift(2); // TODO: parse these flags\n\tblob.l += 8;\n\treturn {type: rt, flags: flags};\n}\n\n\n\nfunction parse_OptXLUnicodeString(blob, length, opts) { return length === 0 ? \"\" : parse_XLUnicodeString2(blob, length, opts); }\n\n/* 2.5.158 */\nvar HIDEOBJENUM = ['SHOWALL', 'SHOWPLACEHOLDER', 'HIDEALL'];\nvar parse_HideObjEnum = parseuint16;\n\n/* 2.5.344 */\nfunction parse_XTI(blob, length) {\n\tvar iSupBook = blob.read_shift(2), itabFirst = blob.read_shift(2,'i'), itabLast = blob.read_shift(2,'i');\n\treturn [iSupBook, itabFirst, itabLast];\n}\n\n/* 2.5.218 */\nfunction parse_RkRec(blob, length) {\n\tvar ixfe = blob.read_shift(2);\n\tvar RK = parse_RkNumber(blob);\n\t//console.log(\"::\", ixfe, RK,\";;\");\n\treturn [ixfe, RK];\n}\n\n/* 2.5.1 */\nfunction parse_AddinUdf(blob, length) {\n\tblob.l += 4; length -= 4;\n\tvar l = blob.l + length;\n\tvar udfName = parse_ShortXLUnicodeString(blob, length);\n\tvar cb = blob.read_shift(2);\n\tl -= blob.l;\n\tif(cb !== l) throw \"Malformed AddinUdf: padding = \" + l + \" != \" + cb;\n\tblob.l += cb;\n\treturn udfName;\n}\n\n/* 2.5.209 TODO: Check sizes */\nfunction parse_Ref8U(blob, length) {\n\tvar rwFirst = blob.read_shift(2);\n\tvar rwLast = blob.read_shift(2);\n\tvar colFirst = blob.read_shift(2);\n\tvar colLast = blob.read_shift(2);\n\treturn {s:{c:colFirst, r:rwFirst}, e:{c:colLast,r:rwLast}};\n}\n\n/* 2.5.211 */\nfunction parse_RefU(blob, length) {\n\tvar rwFirst = blob.read_shift(2);\n\tvar rwLast = blob.read_shift(2);\n\tvar colFirst = blob.read_shift(1);\n\tvar colLast = blob.read_shift(1);\n\treturn {s:{c:colFirst, r:rwFirst}, e:{c:colLast,r:rwLast}};\n}\n\n/* 2.5.207 */\nvar parse_Ref = parse_RefU;\n\n/* 2.5.143 */\nfunction parse_FtCmo(blob, length) {\n\tblob.l += 4;\n\tvar ot = blob.read_shift(2);\n\tvar id = blob.read_shift(2);\n\tvar flags = blob.read_shift(2);\n\tblob.l+=12;\n\treturn [id, ot, flags];\n}\n\n/* 2.5.149 */\nfunction parse_FtNts(blob, length) {\n\tvar out = {};\n\tblob.l += 4;\n\tblob.l += 16; // GUID TODO\n\tout.fSharedNote = blob.read_shift(2);\n\tblob.l += 4;\n\treturn out;\n}\n\n/* 2.5.142 */\nfunction parse_FtCf(blob, length) {\n\tvar out = {};\n\tblob.l += 4;\n\tblob.cf = blob.read_shift(2);\n\treturn out;\n}\n\n/* 2.5.140 - 2.5.154 and friends */\nvar FtTab = {\n\t0x15: parse_FtCmo,\n\t0x13: parsenoop,                                /* FtLbsData */\n\t0x12: function(blob, length) { blob.l += 12; }, /* FtCblsData */\n\t0x11: function(blob, length) { blob.l += 8; },  /* FtRboData */\n\t0x10: parsenoop,                                /* FtEdoData */\n\t0x0F: parsenoop,                                /* FtGboData */\n\t0x0D: parse_FtNts,                              /* FtNts */\n\t0x0C: function(blob, length) { blob.l += 24; }, /* FtSbs */\n\t0x0B: function(blob, length) { blob.l += 10; }, /* FtRbo */\n\t0x0A: function(blob, length) { blob.l += 16; }, /* FtCbls */\n\t0x09: parsenoop,                                /* FtPictFmla */\n\t0x08: function(blob, length) { blob.l += 6; },  /* FtPioGrbit */\n\t0x07: parse_FtCf,                               /* FtCf */\n\t0x06: function(blob, length) { blob.l += 6; },  /* FtGmo */\n\t0x04: parsenoop,                                /* FtMacro */\n\t0x00: function(blob, length) { blob.l += 4; }   /* FtEnding */\n};\nfunction parse_FtArray(blob, length, ot) {\n\tvar s = blob.l;\n\tvar fts = [];\n\twhile(blob.l < s + length) {\n\t\tvar ft = blob.read_shift(2);\n\t\tblob.l-=2;\n\t\ttry {\n\t\t\tfts.push(FtTab[ft](blob, s + length - blob.l));\n\t\t} catch(e) { blob.l = s + length; return fts; }\n\t}\n\tif(blob.l != s + length) blob.l = s + length; //throw \"bad Object Ft-sequence\";\n\treturn fts;\n}\n\n/* 2.5.129 */\nvar parse_FontIndex = parseuint16;\n\n/* --- 2.4 Records --- */\n\n/* 2.4.21 */\nfunction parse_BOF(blob, length) {\n\tvar o = {};\n\to.BIFFVer = blob.read_shift(2); length -= 2;\n\tswitch(o.BIFFVer) {\n\t\tcase 0x0600: /* BIFF8 */\n\t\tcase 0x0500: /* BIFF5 */\n\t\tcase 0x0002: case 0x0007: /* BIFF2 */\n\t\t\tbreak;\n\t\tdefault: throw \"Unexpected BIFF Ver \" + o.BIFFVer;\n\t}\n\tblob.read_shift(length);\n\treturn o;\n}\n\n\n/* 2.4.146 */\nfunction parse_InterfaceHdr(blob, length) {\n\tif(length === 0) return 0x04b0;\n\tvar q;\n\tif((q=blob.read_shift(2))!==0x04b0) throw 'InterfaceHdr codePage ' + q;\n\treturn 0x04b0;\n}\n\n\n/* 2.4.349 */\nfunction parse_WriteAccess(blob, length, opts) {\n\tif(opts.enc) { blob.l += length; return \"\"; }\n\tvar l = blob.l;\n\t// TODO: make sure XLUnicodeString doesnt overrun\n\tvar UserName = parse_XLUnicodeString(blob, 0, opts);\n\tblob.read_shift(length + l - blob.l);\n\treturn UserName;\n}\n\n/* 2.4.28 */\nfunction parse_BoundSheet8(blob, length, opts) {\n\tvar pos = blob.read_shift(4);\n\tvar hidden = blob.read_shift(1) >> 6;\n\tvar dt = blob.read_shift(1);\n\tswitch(dt) {\n\t\tcase 0: dt = 'Worksheet'; break;\n\t\tcase 1: dt = 'Macrosheet'; break;\n\t\tcase 2: dt = 'Chartsheet'; break;\n\t\tcase 6: dt = 'VBAModule'; break;\n\t}\n\tvar name = parse_ShortXLUnicodeString(blob, 0, opts);\n\tif(name.length === 0) name = \"Sheet1\";\n\treturn { pos:pos, hs:hidden, dt:dt, name:name };\n}\n\n/* 2.4.265 TODO */\nfunction parse_SST(blob, length) {\n\tvar cnt = blob.read_shift(4);\n\tvar ucnt = blob.read_shift(4);\n\tvar strs = [];\n\tfor(var i = 0; i != ucnt; ++i) {\n\t\tstrs.push(parse_XLUnicodeRichExtendedString(blob));\n\t}\n\tstrs.Count = cnt; strs.Unique = ucnt;\n\treturn strs;\n}\n\n/* 2.4.107 */\nfunction parse_ExtSST(blob, length) {\n\tvar extsst = {};\n\textsst.dsst = blob.read_shift(2);\n\tblob.l += length-2;\n\treturn extsst;\n}\n\n\n/* 2.4.221 TODO*/\nfunction parse_Row(blob, length) {\n\tvar rw = blob.read_shift(2), col = blob.read_shift(2), Col = blob.read_shift(2), rht = blob.read_shift(2);\n\tblob.read_shift(4); // reserved(2), unused(2)\n\tvar flags = blob.read_shift(1); // various flags\n\tblob.read_shift(1); // reserved\n\tblob.read_shift(2); //ixfe, other flags\n\treturn {r:rw, c:col, cnt:Col-col};\n}\n\n\n/* 2.4.125 */\nfunction parse_ForceFullCalculation(blob, length) {\n\tvar header = parse_frtHeader(blob);\n\tif(header.type != 0x08A3) throw \"Invalid Future Record \" + header.type;\n\tvar fullcalc = blob.read_shift(4);\n\treturn fullcalc !== 0x0;\n}\n\n\nvar parse_CompressPictures = parsenoop2; /* 2.4.55 Not interesting */\n\n\n\n/* 2.4.215 rt */\nfunction parse_RecalcId(blob, length) {\n\tblob.read_shift(2);\n\treturn blob.read_shift(4);\n}\n\n/* 2.4.87 */\nfunction parse_DefaultRowHeight (blob, length) {\n\tvar f = blob.read_shift(2), miyRw;\n\tmiyRw = blob.read_shift(2); // flags & 0x02 -> hidden, else empty\n\tvar fl = {Unsynced:f&1,DyZero:(f&2)>>1,ExAsc:(f&4)>>2,ExDsc:(f&8)>>3};\n\treturn [fl, miyRw];\n}\n\n/* 2.4.345 TODO */\nfunction parse_Window1(blob, length) {\n\tvar xWn = blob.read_shift(2), yWn = blob.read_shift(2), dxWn = blob.read_shift(2), dyWn = blob.read_shift(2);\n\tvar flags = blob.read_shift(2), iTabCur = blob.read_shift(2), iTabFirst = blob.read_shift(2);\n\tvar ctabSel = blob.read_shift(2), wTabRatio = blob.read_shift(2);\n\treturn { Pos: [xWn, yWn], Dim: [dxWn, dyWn], Flags: flags, CurTab: iTabCur,\n\t\tFirstTab: iTabFirst, Selected: ctabSel, TabRatio: wTabRatio };\n}\n\n/* 2.4.122 TODO */\nfunction parse_Font(blob, length, opts) {\n\tblob.l += 14;\n\tvar name = parse_ShortXLUnicodeString(blob, 0, opts);\n\treturn name;\n}\n\n/* 2.4.149 */\nfunction parse_LabelSst(blob, length) {\n\tvar cell = parse_XLSCell(blob);\n\tcell.isst = blob.read_shift(4);\n\treturn cell;\n}\n\n/* 2.4.148 */\nfunction parse_Label(blob, length, opts) {\n\tvar cell = parse_XLSCell(blob, 6);\n\tvar str = parse_XLUnicodeString(blob, length-6, opts);\n\tcell.val = str;\n\treturn cell;\n}\n\n/* 2.4.126 Number Formats */\nfunction parse_Format(blob, length, opts) {\n\tvar ifmt = blob.read_shift(2);\n\tvar fmtstr = parse_XLUnicodeString2(blob, 0, opts);\n\treturn [ifmt, fmtstr];\n}\n\n/* 2.4.90 */\nfunction parse_Dimensions(blob, length) {\n\tvar w = length === 10 ? 2 : 4;\n\tvar r = blob.read_shift(w), R = blob.read_shift(w),\n\t    c = blob.read_shift(2), C = blob.read_shift(2);\n\tblob.l += 2;\n\treturn {s: {r:r, c:c}, e: {r:R, c:C}};\n}\n\n/* 2.4.220 */\nfunction parse_RK(blob, length) {\n\tvar rw = blob.read_shift(2), col = blob.read_shift(2);\n\tvar rkrec = parse_RkRec(blob);\n\treturn {r:rw, c:col, ixfe:rkrec[0], rknum:rkrec[1]};\n}\n\n/* 2.4.175 */\nfunction parse_MulRk(blob, length) {\n\tvar target = blob.l + length - 2;\n\tvar rw = blob.read_shift(2), col = blob.read_shift(2);\n\tvar rkrecs = [];\n\twhile(blob.l < target) rkrecs.push(parse_RkRec(blob));\n\tif(blob.l !== target) throw \"MulRK read error\";\n\tvar lastcol = blob.read_shift(2);\n\tif(rkrecs.length != lastcol - col + 1) throw \"MulRK length mismatch\";\n\treturn {r:rw, c:col, C:lastcol, rkrec:rkrecs};\n}\n\n/* 2.5.20 2.5.249 TODO */\nfunction parse_CellStyleXF(blob, length, style) {\n\tvar o = {};\n\tvar a = blob.read_shift(4), b = blob.read_shift(4);\n\tvar c = blob.read_shift(4), d = blob.read_shift(2);\n\to.patternType = XLSFillPattern[c >> 26];\n\to.icvFore = d & 0x7F;\n\to.icvBack = (d >> 7) & 0x7F;\n\treturn o;\n}\nfunction parse_CellXF(blob, length) {return parse_CellStyleXF(blob,length,0);}\nfunction parse_StyleXF(blob, length) {return parse_CellStyleXF(blob,length,1);}\n\n/* 2.4.353 TODO: actually do this right */\nfunction parse_XF(blob, length) {\n\tvar o = {};\n\to.ifnt = blob.read_shift(2); o.ifmt = blob.read_shift(2); o.flags = blob.read_shift(2);\n\to.fStyle = (o.flags >> 2) & 0x01;\n\tlength -= 6;\n\to.data = parse_CellStyleXF(blob, length, o.fStyle);\n\treturn o;\n}\n\n/* 2.4.134 */\nfunction parse_Guts(blob, length) {\n\tblob.l += 4;\n\tvar out = [blob.read_shift(2), blob.read_shift(2)];\n\tif(out[0] !== 0) out[0]--;\n\tif(out[1] !== 0) out[1]--;\n\tif(out[0] > 7 || out[1] > 7) throw \"Bad Gutters: \" + out;\n\treturn out;\n}\n\n/* 2.4.24 */\nfunction parse_BoolErr(blob, length) {\n\tvar cell = parse_XLSCell(blob, 6);\n\tvar val = parse_Bes(blob, 2);\n\tcell.val = val;\n\tcell.t = (val === true || val === false) ? 'b' : 'e';\n\treturn cell;\n}\n\n/* 2.4.180 Number */\nfunction parse_Number(blob, length) {\n\tvar cell = parse_XLSCell(blob, 6);\n\tvar xnum = parse_Xnum(blob, 8);\n\tcell.val = xnum;\n\treturn cell;\n}\n\nvar parse_XLHeaderFooter = parse_OptXLUnicodeString; // TODO: parse 2.4.136\n\n/* 2.4.271 */\nfunction parse_SupBook(blob, length, opts) {\n\tvar end = blob.l + length;\n\tvar ctab = blob.read_shift(2);\n\tvar cch = blob.read_shift(2);\n\tvar virtPath;\n\tif(cch >=0x01 && cch <=0xff) virtPath = parse_XLUnicodeStringNoCch(blob, cch);\n\tvar rgst = blob.read_shift(end - blob.l);\n\topts.sbcch = cch;\n\treturn [cch, ctab, virtPath, rgst];\n}\n\n/* 2.4.105 TODO */\nfunction parse_ExternName(blob, length, opts) {\n\tvar flags = blob.read_shift(2);\n\tvar body;\n\tvar o = {\n\t\tfBuiltIn: flags & 0x01,\n\t\tfWantAdvise: (flags >>> 1) & 0x01,\n\t\tfWantPict: (flags >>> 2) & 0x01,\n\t\tfOle: (flags >>> 3) & 0x01,\n\t\tfOleLink: (flags >>> 4) & 0x01,\n\t\tcf: (flags >>> 5) & 0x3FF,\n\t\tfIcon: flags >>> 15 & 0x01\n\t};\n\tif(opts.sbcch === 0x3A01) body = parse_AddinUdf(blob, length-2);\n\t//else throw new Error(\"unsupported SupBook cch: \" + opts.sbcch);\n\to.body = body || blob.read_shift(length-2);\n\treturn o;\n}\n\n/* 2.4.150 TODO */\nfunction parse_Lbl(blob, length, opts) {\n\tif(opts.biff < 8) return parse_Label(blob, length, opts);\n\tvar target = blob.l + length;\n\tvar flags = blob.read_shift(2);\n\tvar chKey = blob.read_shift(1);\n\tvar cch = blob.read_shift(1);\n\tvar cce = blob.read_shift(2);\n\tblob.l += 2;\n\tvar itab = blob.read_shift(2);\n\tblob.l += 4;\n\tvar name = parse_XLUnicodeStringNoCch(blob, cch, opts);\n\tvar rgce = parse_NameParsedFormula(blob, target - blob.l, opts, cce);\n\treturn {\n\t\tchKey: chKey,\n\t\tName: name,\n\t\trgce: rgce\n\t};\n}\n\n/* 2.4.106 TODO: verify supbook manipulation */\nfunction parse_ExternSheet(blob, length, opts) {\n\tif(opts.biff < 8) return parse_ShortXLUnicodeString(blob, length, opts);\n\tvar o = parslurp2(blob,length,parse_XTI);\n\tvar oo = [];\n\tif(opts.sbcch === 0x0401) {\n\t\tfor(var i = 0; i != o.length; ++i) oo.push(opts.snames[o[i][1]]);\n\t\treturn oo;\n\t}\n\telse return o;\n}\n\n/* 2.4.260 */\nfunction parse_ShrFmla(blob, length, opts) {\n\tvar ref = parse_RefU(blob, 6);\n\tblob.l++;\n\tvar cUse = blob.read_shift(1);\n\tlength -= 8;\n\treturn [parse_SharedParsedFormula(blob, length, opts), cUse];\n}\n\n/* 2.4.4 TODO */\nfunction parse_Array(blob, length, opts) {\n\tvar ref = parse_Ref(blob, 6);\n\tblob.l += 6; length -= 12; /* TODO: fAlwaysCalc */\n\treturn [ref, parse_ArrayParsedFormula(blob, length, opts, ref)];\n}\n\n/* 2.4.173 */\nfunction parse_MTRSettings(blob, length) {\n\tvar fMTREnabled = blob.read_shift(4) !== 0x00;\n\tvar fUserSetThreadCount = blob.read_shift(4) !== 0x00;\n\tvar cUserThreadCount = blob.read_shift(4);\n\treturn [fMTREnabled, fUserSetThreadCount, cUserThreadCount];\n}\n\n/* 2.5.186 TODO: BIFF5 */\nfunction parse_NoteSh(blob, length, opts) {\n\tif(opts.biff < 8) return;\n\tvar row = blob.read_shift(2), col = blob.read_shift(2);\n\tvar flags = blob.read_shift(2), idObj = blob.read_shift(2);\n\tvar stAuthor = parse_XLUnicodeString2(blob, 0, opts);\n\tif(opts.biff < 8) blob.read_shift(1);\n\treturn [{r:row,c:col}, stAuthor, idObj, flags];\n}\n\n/* 2.4.179 */\nfunction parse_Note(blob, length, opts) {\n\t/* TODO: Support revisions */\n\treturn parse_NoteSh(blob, length, opts);\n}\n\n/* 2.4.168 */\nfunction parse_MergeCells(blob, length) {\n\tvar merges = [];\n\tvar cmcs = blob.read_shift(2);\n\twhile (cmcs--) merges.push(parse_Ref8U(blob,length));\n\treturn merges;\n}\n\n/* 2.4.181 TODO: parse all the things! */\nfunction parse_Obj(blob, length) {\n\tvar cmo = parse_FtCmo(blob, 22); // id, ot, flags\n\tvar fts = parse_FtArray(blob, length-22, cmo[1]);\n\treturn { cmo: cmo, ft:fts };\n}\n\n/* 2.4.329 TODO: parse properly */\nfunction parse_TxO(blob, length, opts) {\n\tvar s = blob.l;\ntry {\n\tblob.l += 4;\n\tvar ot = (opts.lastobj||{cmo:[0,0]}).cmo[1];\n\tvar controlInfo;\n\tif([0,5,7,11,12,14].indexOf(ot) == -1) blob.l += 6;\n\telse controlInfo = parse_ControlInfo(blob, 6, opts);\n\tvar cchText = blob.read_shift(2);\n\tvar cbRuns = blob.read_shift(2);\n\tvar ifntEmpty = parse_FontIndex(blob, 2);\n\tvar len = blob.read_shift(2);\n\tblob.l += len;\n\t//var fmla = parse_ObjFmla(blob, s + length - blob.l);\n\n\tvar texts = \"\";\n\tfor(var i = 1; i < blob.lens.length-1; ++i) {\n\t\tif(blob.l-s != blob.lens[i]) throw \"TxO: bad continue record\";\n\t\tvar hdr = blob[blob.l];\n\t\tvar t = parse_XLUnicodeStringNoCch(blob, blob.lens[i+1]-blob.lens[i]-1);\n\t\ttexts += t;\n\t\tif(texts.length >= (hdr ? cchText : 2*cchText)) break;\n\t}\n\tif(texts.length !== cchText && texts.length !== cchText*2) {\n\t\tthrow \"cchText: \" + cchText + \" != \" + texts.length;\n\t}\n\n\tblob.l = s + length;\n\t/* 2.5.272 TxORuns */\n//\tvar rgTxoRuns = [];\n//\tfor(var j = 0; j != cbRuns/8-1; ++j) blob.l += 8;\n//\tvar cchText2 = blob.read_shift(2);\n//\tif(cchText2 !== cchText) throw \"TxOLastRun mismatch: \" + cchText2 + \" \" + cchText;\n//\tblob.l += 6;\n//\tif(s + length != blob.l) throw \"TxO \" + (s + length) + \", at \" + blob.l;\n\treturn { t: texts };\n} catch(e) { blob.l = s + length; return { t: texts||\"\" }; }\n}\n\n/* 2.4.140 */\nvar parse_HLink = function(blob, length) {\n\tvar ref = parse_Ref8U(blob, 8);\n\tblob.l += 16; /* CLSID */\n\tvar hlink = parse_Hyperlink(blob, length-24);\n\treturn [ref, hlink];\n};\n\n/* 2.4.141 */\nvar parse_HLinkTooltip = function(blob, length) {\n\tvar end = blob.l + length;\n\tblob.read_shift(2);\n\tvar ref = parse_Ref8U(blob, 8);\n\tvar wzTooltip = blob.read_shift((length-10)/2, 'dbcs-cont');\n\twzTooltip = wzTooltip.replace(chr0,\"\");\n\treturn [ref, wzTooltip];\n};\n\n/* 2.4.63 */\nfunction parse_Country(blob, length) {\n\tvar o = [], d;\n\td = blob.read_shift(2); o[0] = CountryEnum[d] || d;\n\td = blob.read_shift(2); o[1] = CountryEnum[d] || d;\n\treturn o;\n}\n\n/* 2.4.50 ClrtClient */\nfunction parse_ClrtClient(blob, length) {\n\tvar ccv = blob.read_shift(2);\n\tvar o = [];\n\twhile(ccv-->0) o.push(parse_LongRGB(blob, 8));\n\treturn o;\n}\n\n/* 2.4.188 */\nfunction parse_Palette(blob, length) {\n\tvar ccv = blob.read_shift(2);\n\tvar o = [];\n\twhile(ccv-->0) o.push(parse_LongRGB(blob, 8));\n\treturn o;\n}\n\n/* 2.4.354 */\nfunction parse_XFCRC(blob, length) {\n\tblob.l += 2;\n\tvar o = {cxfs:0, crc:0};\n\to.cxfs = blob.read_shift(2);\n\to.crc = blob.read_shift(4);\n\treturn o;\n}\n\n\nvar parse_Style = parsenoop;\nvar parse_StyleExt = parsenoop;\n\nvar parse_ColInfo = parsenoop;\n\nvar parse_Window2 = parsenoop;\n\n\nvar parse_Backup = parsebool; /* 2.4.14 */\nvar parse_Blank = parse_XLSCell; /* 2.4.20 Just the cell */\nvar parse_BottomMargin = parse_Xnum; /* 2.4.27 */\nvar parse_BuiltInFnGroupCount = parseuint16; /* 2.4.30 0x0E or 0x10 but excel 2011 generates 0x11? */\nvar parse_CalcCount = parseuint16; /* 2.4.31 #Iterations */\nvar parse_CalcDelta = parse_Xnum; /* 2.4.32 */\nvar parse_CalcIter = parsebool;  /* 2.4.33 1=iterative calc */\nvar parse_CalcMode = parseuint16; /* 2.4.34 0=manual, 1=auto (def), 2=table */\nvar parse_CalcPrecision = parsebool; /* 2.4.35 */\nvar parse_CalcRefMode = parsenoop2; /* 2.4.36 */\nvar parse_CalcSaveRecalc = parsebool; /* 2.4.37 */\nvar parse_CodePage = parseuint16; /* 2.4.52 */\nvar parse_Compat12 = parsebool; /* 2.4.54 true = no compatibility check */\nvar parse_Date1904 = parsebool; /* 2.4.77 - 1=1904,0=1900 */\nvar parse_DefColWidth = parseuint16; /* 2.4.89 */\nvar parse_DSF = parsenoop2; /* 2.4.94 -- MUST be ignored */\nvar parse_EntExU2 = parsenoop2; /* 2.4.102 -- Explicitly says to ignore */\nvar parse_EOF = parsenoop2; /* 2.4.103 */\nvar parse_Excel9File = parsenoop2; /* 2.4.104 -- Optional and unused */\nvar parse_FeatHdr = parsenoop2; /* 2.4.112 */\nvar parse_FontX = parseuint16; /* 2.4.123 */\nvar parse_Footer = parse_XLHeaderFooter; /* 2.4.124 */\nvar parse_GridSet = parseuint16; /* 2.4.132, =1 */\nvar parse_HCenter = parsebool; /* 2.4.135 sheet centered horizontal on print */\nvar parse_Header = parse_XLHeaderFooter; /* 2.4.136 */\nvar parse_HideObj = parse_HideObjEnum; /* 2.4.139 */\nvar parse_InterfaceEnd = parsenoop2; /* 2.4.145 -- noop */\nvar parse_LeftMargin = parse_Xnum; /* 2.4.151 */\nvar parse_Mms = parsenoop2; /* 2.4.169 -- Explicitly says to ignore */\nvar parse_ObjProtect = parsebool; /* 2.4.183 -- must be 1 if present */\nvar parse_Password = parseuint16; /* 2.4.191 */\nvar parse_PrintGrid = parsebool; /* 2.4.202 */\nvar parse_PrintRowCol = parsebool; /* 2.4.203 */\nvar parse_PrintSize = parseuint16; /* 2.4.204 0:3 */\nvar parse_Prot4Rev = parsebool; /* 2.4.205 */\nvar parse_Prot4RevPass = parseuint16; /* 2.4.206 */\nvar parse_Protect = parsebool; /* 2.4.207 */\nvar parse_RefreshAll = parsebool; /* 2.4.217 -- must be 0 if not template */\nvar parse_RightMargin = parse_Xnum; /* 2.4.219 */\nvar parse_RRTabId = parseuint16a; /* 2.4.241 */\nvar parse_ScenarioProtect = parsebool; /* 2.4.245 */\nvar parse_Scl = parseuint16a; /* 2.4.247 num, den */\nvar parse_String = parse_XLUnicodeString; /* 2.4.268 */\nvar parse_SxBool = parsebool; /* 2.4.274 */\nvar parse_TopMargin = parse_Xnum; /* 2.4.328 */\nvar parse_UsesELFs = parsebool; /* 2.4.337 -- should be 0 */\nvar parse_VCenter = parsebool; /* 2.4.342 */\nvar parse_WinProtect = parsebool; /* 2.4.347 */\nvar parse_WriteProtect = parsenoop; /* 2.4.350 empty record */\n\n\n/* ---- */\nvar parse_VerticalPageBreaks = parsenoop;\nvar parse_HorizontalPageBreaks = parsenoop;\nvar parse_Selection = parsenoop;\nvar parse_Continue = parsenoop;\nvar parse_Pane = parsenoop;\nvar parse_Pls = parsenoop;\nvar parse_DCon = parsenoop;\nvar parse_DConRef = parsenoop;\nvar parse_DConName = parsenoop;\nvar parse_XCT = parsenoop;\nvar parse_CRN = parsenoop;\nvar parse_FileSharing = parsenoop;\nvar parse_Uncalced = parsenoop;\nvar parse_Template = parsenoop;\nvar parse_Intl = parsenoop;\nvar parse_WsBool = parsenoop;\nvar parse_Sort = parsenoop;\nvar parse_Sync = parsenoop;\nvar parse_LPr = parsenoop;\nvar parse_DxGCol = parsenoop;\nvar parse_FnGroupName = parsenoop;\nvar parse_FilterMode = parsenoop;\nvar parse_AutoFilterInfo = parsenoop;\nvar parse_AutoFilter = parsenoop;\nvar parse_Setup = parsenoop;\nvar parse_ScenMan = parsenoop;\nvar parse_SCENARIO = parsenoop;\nvar parse_SxView = parsenoop;\nvar parse_Sxvd = parsenoop;\nvar parse_SXVI = parsenoop;\nvar parse_SxIvd = parsenoop;\nvar parse_SXLI = parsenoop;\nvar parse_SXPI = parsenoop;\nvar parse_DocRoute = parsenoop;\nvar parse_RecipName = parsenoop;\nvar parse_MulBlank = parsenoop;\nvar parse_SXDI = parsenoop;\nvar parse_SXDB = parsenoop;\nvar parse_SXFDB = parsenoop;\nvar parse_SXDBB = parsenoop;\nvar parse_SXNum = parsenoop;\nvar parse_SxErr = parsenoop;\nvar parse_SXInt = parsenoop;\nvar parse_SXString = parsenoop;\nvar parse_SXDtr = parsenoop;\nvar parse_SxNil = parsenoop;\nvar parse_SXTbl = parsenoop;\nvar parse_SXTBRGIITM = parsenoop;\nvar parse_SxTbpg = parsenoop;\nvar parse_ObProj = parsenoop;\nvar parse_SXStreamID = parsenoop;\nvar parse_DBCell = parsenoop;\nvar parse_SXRng = parsenoop;\nvar parse_SxIsxoper = parsenoop;\nvar parse_BookBool = parsenoop;\nvar parse_DbOrParamQry = parsenoop;\nvar parse_OleObjectSize = parsenoop;\nvar parse_SXVS = parsenoop;\nvar parse_BkHim = parsenoop;\nvar parse_MsoDrawingGroup = parsenoop;\nvar parse_MsoDrawing = parsenoop;\nvar parse_MsoDrawingSelection = parsenoop;\nvar parse_PhoneticInfo = parsenoop;\nvar parse_SxRule = parsenoop;\nvar parse_SXEx = parsenoop;\nvar parse_SxFilt = parsenoop;\nvar parse_SxDXF = parsenoop;\nvar parse_SxItm = parsenoop;\nvar parse_SxName = parsenoop;\nvar parse_SxSelect = parsenoop;\nvar parse_SXPair = parsenoop;\nvar parse_SxFmla = parsenoop;\nvar parse_SxFormat = parsenoop;\nvar parse_SXVDEx = parsenoop;\nvar parse_SXFormula = parsenoop;\nvar parse_SXDBEx = parsenoop;\nvar parse_RRDInsDel = parsenoop;\nvar parse_RRDHead = parsenoop;\nvar parse_RRDChgCell = parsenoop;\nvar parse_RRDRenSheet = parsenoop;\nvar parse_RRSort = parsenoop;\nvar parse_RRDMove = parsenoop;\nvar parse_RRFormat = parsenoop;\nvar parse_RRAutoFmt = parsenoop;\nvar parse_RRInsertSh = parsenoop;\nvar parse_RRDMoveBegin = parsenoop;\nvar parse_RRDMoveEnd = parsenoop;\nvar parse_RRDInsDelBegin = parsenoop;\nvar parse_RRDInsDelEnd = parsenoop;\nvar parse_RRDConflict = parsenoop;\nvar parse_RRDDefName = parsenoop;\nvar parse_RRDRstEtxp = parsenoop;\nvar parse_LRng = parsenoop;\nvar parse_CUsr = parsenoop;\nvar parse_CbUsr = parsenoop;\nvar parse_UsrInfo = parsenoop;\nvar parse_UsrExcl = parsenoop;\nvar parse_FileLock = parsenoop;\nvar parse_RRDInfo = parsenoop;\nvar parse_BCUsrs = parsenoop;\nvar parse_UsrChk = parsenoop;\nvar parse_UserBView = parsenoop;\nvar parse_UserSViewBegin = parsenoop; // overloaded\nvar parse_UserSViewEnd = parsenoop;\nvar parse_RRDUserView = parsenoop;\nvar parse_Qsi = parsenoop;\nvar parse_CondFmt = parsenoop;\nvar parse_CF = parsenoop;\nvar parse_DVal = parsenoop;\nvar parse_DConBin = parsenoop;\nvar parse_Lel = parsenoop;\nvar parse_XLSCodeName = parse_XLUnicodeString;\nvar parse_SXFDBType = parsenoop;\nvar parse_ObNoMacros = parsenoop;\nvar parse_Dv = parsenoop;\nvar parse_Index = parsenoop;\nvar parse_Table = parsenoop;\nvar parse_BigName = parsenoop;\nvar parse_ContinueBigName = parsenoop;\nvar parse_WebPub = parsenoop;\nvar parse_QsiSXTag = parsenoop;\nvar parse_DBQueryExt = parsenoop;\nvar parse_ExtString = parsenoop;\nvar parse_TxtQry = parsenoop;\nvar parse_Qsir = parsenoop;\nvar parse_Qsif = parsenoop;\nvar parse_RRDTQSIF = parsenoop;\nvar parse_OleDbConn = parsenoop;\nvar parse_WOpt = parsenoop;\nvar parse_SXViewEx = parsenoop;\nvar parse_SXTH = parsenoop;\nvar parse_SXPIEx = parsenoop;\nvar parse_SXVDTEx = parsenoop;\nvar parse_SXViewEx9 = parsenoop;\nvar parse_ContinueFrt = parsenoop;\nvar parse_RealTimeData = parsenoop;\nvar parse_ChartFrtInfo = parsenoop;\nvar parse_FrtWrapper = parsenoop;\nvar parse_StartBlock = parsenoop;\nvar parse_EndBlock = parsenoop;\nvar parse_StartObject = parsenoop;\nvar parse_EndObject = parsenoop;\nvar parse_CatLab = parsenoop;\nvar parse_YMult = parsenoop;\nvar parse_SXViewLink = parsenoop;\nvar parse_PivotChartBits = parsenoop;\nvar parse_FrtFontList = parsenoop;\nvar parse_SheetExt = parsenoop;\nvar parse_BookExt = parsenoop;\nvar parse_SXAddl = parsenoop;\nvar parse_CrErr = parsenoop;\nvar parse_HFPicture = parsenoop;\nvar parse_Feat = parsenoop;\nvar parse_DataLabExt = parsenoop;\nvar parse_DataLabExtContents = parsenoop;\nvar parse_CellWatch = parsenoop;\nvar parse_FeatHdr11 = parsenoop;\nvar parse_Feature11 = parsenoop;\nvar parse_DropDownObjIds = parsenoop;\nvar parse_ContinueFrt11 = parsenoop;\nvar parse_DConn = parsenoop;\nvar parse_List12 = parsenoop;\nvar parse_Feature12 = parsenoop;\nvar parse_CondFmt12 = parsenoop;\nvar parse_CF12 = parsenoop;\nvar parse_CFEx = parsenoop;\nvar parse_AutoFilter12 = parsenoop;\nvar parse_ContinueFrt12 = parsenoop;\nvar parse_MDTInfo = parsenoop;\nvar parse_MDXStr = parsenoop;\nvar parse_MDXTuple = parsenoop;\nvar parse_MDXSet = parsenoop;\nvar parse_MDXProp = parsenoop;\nvar parse_MDXKPI = parsenoop;\nvar parse_MDB = parsenoop;\nvar parse_PLV = parsenoop;\nvar parse_DXF = parsenoop;\nvar parse_TableStyles = parsenoop;\nvar parse_TableStyle = parsenoop;\nvar parse_TableStyleElement = parsenoop;\nvar parse_NamePublish = parsenoop;\nvar parse_NameCmt = parsenoop;\nvar parse_SortData = parsenoop;\nvar parse_GUIDTypeLib = parsenoop;\nvar parse_FnGrp12 = parsenoop;\nvar parse_NameFnGrp12 = parsenoop;\nvar parse_HeaderFooter = parsenoop;\nvar parse_CrtLayout12 = parsenoop;\nvar parse_CrtMlFrt = parsenoop;\nvar parse_CrtMlFrtContinue = parsenoop;\nvar parse_ShapePropsStream = parsenoop;\nvar parse_TextPropsStream = parsenoop;\nvar parse_RichTextStream = parsenoop;\nvar parse_CrtLayout12A = parsenoop;\nvar parse_Units = parsenoop;\nvar parse_Chart = parsenoop;\nvar parse_Series = parsenoop;\nvar parse_DataFormat = parsenoop;\nvar parse_LineFormat = parsenoop;\nvar parse_MarkerFormat = parsenoop;\nvar parse_AreaFormat = parsenoop;\nvar parse_PieFormat = parsenoop;\nvar parse_AttachedLabel = parsenoop;\nvar parse_SeriesText = parsenoop;\nvar parse_ChartFormat = parsenoop;\nvar parse_Legend = parsenoop;\nvar parse_SeriesList = parsenoop;\nvar parse_Bar = parsenoop;\nvar parse_Line = parsenoop;\nvar parse_Pie = parsenoop;\nvar parse_Area = parsenoop;\nvar parse_Scatter = parsenoop;\nvar parse_CrtLine = parsenoop;\nvar parse_Axis = parsenoop;\nvar parse_Tick = parsenoop;\nvar parse_ValueRange = parsenoop;\nvar parse_CatSerRange = parsenoop;\nvar parse_AxisLine = parsenoop;\nvar parse_CrtLink = parsenoop;\nvar parse_DefaultText = parsenoop;\nvar parse_Text = parsenoop;\nvar parse_ObjectLink = parsenoop;\nvar parse_Frame = parsenoop;\nvar parse_Begin = parsenoop;\nvar parse_End = parsenoop;\nvar parse_PlotArea = parsenoop;\nvar parse_Chart3d = parsenoop;\nvar parse_PicF = parsenoop;\nvar parse_DropBar = parsenoop;\nvar parse_Radar = parsenoop;\nvar parse_Surf = parsenoop;\nvar parse_RadarArea = parsenoop;\nvar parse_AxisParent = parsenoop;\nvar parse_LegendException = parsenoop;\nvar parse_ShtProps = parsenoop;\nvar parse_SerToCrt = parsenoop;\nvar parse_AxesUsed = parsenoop;\nvar parse_SBaseRef = parsenoop;\nvar parse_SerParent = parsenoop;\nvar parse_SerAuxTrend = parsenoop;\nvar parse_IFmtRecord = parsenoop;\nvar parse_Pos = parsenoop;\nvar parse_AlRuns = parsenoop;\nvar parse_BRAI = parsenoop;\nvar parse_SerAuxErrBar = parsenoop;\nvar parse_SerFmt = parsenoop;\nvar parse_Chart3DBarShape = parsenoop;\nvar parse_Fbi = parsenoop;\nvar parse_BopPop = parsenoop;\nvar parse_AxcExt = parsenoop;\nvar parse_Dat = parsenoop;\nvar parse_PlotGrowth = parsenoop;\nvar parse_SIIndex = parsenoop;\nvar parse_GelFrame = parsenoop;\nvar parse_BopPopCustom = parsenoop;\nvar parse_Fbi2 = parsenoop;\n\n/* --- Specific to versions before BIFF8 --- */\nfunction parse_BIFF5String(blob) {\n\tvar len = blob.read_shift(1);\n\treturn blob.read_shift(len, 'sbcs-cont');\n}\n\n/* BIFF2_??? where ??? is the name from [XLS] */\nfunction parse_BIFF2STR(blob, length, opts) {\n\tvar cell = parse_XLSCell(blob, 6);\n\t++blob.l;\n\tvar str = parse_XLUnicodeString2(blob, length-7, opts);\n\tcell.val = str;\n\treturn cell;\n}\n\nfunction parse_BIFF2NUM(blob, length, opts) {\n\tvar cell = parse_XLSCell(blob, 6);\n\t++blob.l;\n\tvar num = parse_Xnum(blob, 8);\n\tcell.val = num;\n\treturn cell;\n}\n\n/* 18.4.1 charset to codepage mapping */\nvar CS2CP = {\n\t0:    1252, /* ANSI */\n\t1:   65001, /* DEFAULT */\n\t2:   65001, /* SYMBOL */\n\t77:  10000, /* MAC */\n\t128:   932, /* SHIFTJIS */\n\t129:   949, /* HANGUL */\n\t130:  1361, /* JOHAB */\n\t134:   936, /* GB2312 */\n\t136:   950, /* CHINESEBIG5 */\n\t161:  1253, /* GREEK */\n\t162:  1254, /* TURKISH */\n\t163:  1258, /* VIETNAMESE */\n\t177:  1255, /* HEBREW */\n\t178:  1256, /* ARABIC */\n\t186:  1257, /* BALTIC */\n\t204:  1251, /* RUSSIAN */\n\t222:   874, /* THAI */\n\t238:  1250, /* EASTEUROPE */\n\t255:  1252, /* OEM */\n\t69:   6969  /* MISC */\n};\n\n/* Parse a list of <r> tags */\nvar parse_rs = (function parse_rs_factory() {\n\tvar tregex = matchtag(\"t\"), rpregex = matchtag(\"rPr\"), rregex = /<r>/g, rend = /<\\/r>/, nlregex = /\\r\\n/g;\n\t/* 18.4.7 rPr CT_RPrElt */\n\tvar parse_rpr = function parse_rpr(rpr, intro, outro) {\n\t\tvar font = {}, cp = 65001;\n\t\tvar m = rpr.match(tagregex), i = 0;\n\t\tif(m) for(;i!=m.length; ++i) {\n\t\t\tvar y = parsexmltag(m[i]);\n\t\t\tswitch(y[0]) {\n\t\t\t\t/* 18.8.12 condense CT_BooleanProperty */\n\t\t\t\t/* ** not required . */\n\t\t\t\tcase '<condense': break;\n\t\t\t\t/* 18.8.17 extend CT_BooleanProperty */\n\t\t\t\t/* ** not required . */\n\t\t\t\tcase '<extend': break;\n\t\t\t\t/* 18.8.36 shadow CT_BooleanProperty */\n\t\t\t\t/* ** not required . */\n\t\t\t\tcase '<shadow':\n\t\t\t\t\t/* falls through */\n\t\t\t\tcase '<shadow/>': break;\n\n\t\t\t\t/* 18.4.1 charset CT_IntProperty TODO */\n\t\t\t\tcase '<charset':\n\t\t\t\t\tif(y.val == '1') break;\n\t\t\t\t\tcp = CS2CP[parseInt(y.val, 10)];\n\t\t\t\t\tbreak;\n\n\t\t\t\t/* 18.4.2 outline CT_BooleanProperty TODO */\n\t\t\t\tcase '<outline':\n\t\t\t\t\t/* falls through */\n\t\t\t\tcase '<outline/>': break;\n\n\t\t\t\t/* 18.4.5 rFont CT_FontName */\n\t\t\t\tcase '<rFont': font.name = y.val; break;\n\n\t\t\t\t/* 18.4.11 sz CT_FontSize */\n\t\t\t\tcase '<sz': font.sz = y.val; break;\n\n\t\t\t\t/* 18.4.10 strike CT_BooleanProperty */\n\t\t\t\tcase '<strike':\n\t\t\t\t\tif(!y.val) break;\n\t\t\t\t\t/* falls through */\n\t\t\t\tcase '<strike/>': font.strike = 1; break;\n\t\t\t\tcase '</strike>': break;\n\n\t\t\t\t/* 18.4.13 u CT_UnderlineProperty */\n\t\t\t\tcase '<u':\n\t\t\t\t\tif(!y.val) break;\n\t\t\t\t\t/* falls through */\n\t\t\t\tcase '<u/>': font.u = 1; break;\n\t\t\t\tcase '</u>': break;\n\n\t\t\t\t/* 18.8.2 b */\n\t\t\t\tcase '<b':\n\t\t\t\t\tif(!y.val) break;\n\t\t\t\t\t/* falls through */\n\t\t\t\tcase '<b/>': font.b = 1; break;\n\t\t\t\tcase '</b>': break;\n\n\t\t\t\t/* 18.8.26 i */\n\t\t\t\tcase '<i':\n\t\t\t\t\tif(!y.val) break;\n\t\t\t\t\t/* falls through */\n\t\t\t\tcase '<i/>': font.i = 1; break;\n\t\t\t\tcase '</i>': break;\n\n\t\t\t\t/* 18.3.1.15 color CT_Color TODO: tint, theme, auto, indexed */\n\t\t\t\tcase '<color':\n\t\t\t\t\tif(y.rgb) font.color = y.rgb.substr(2,6);\n\t\t\t\t\tbreak;\n\n\t\t\t\t/* 18.8.18 family ST_FontFamily */\n\t\t\t\tcase '<family': font.family = y.val; break;\n\n\t\t\t\t/* 18.4.14 vertAlign CT_VerticalAlignFontProperty TODO */\n\t\t\t\tcase '<vertAlign': break;\n\n\t\t\t\t/* 18.8.35 scheme CT_FontScheme TODO */\n\t\t\t\tcase '<scheme': break;\n\n\t\t\t\tdefault:\n\t\t\t\t\tif(y[0].charCodeAt(1) !== 47) throw 'Unrecognized rich format ' + y[0];\n\t\t\t}\n\t\t}\n\t\t/* TODO: These should be generated styles, not inline */\n\t\tvar style = [];\n\t\tif(font.b) style.push(\"font-weight: bold;\");\n\t\tif(font.i) style.push(\"font-style: italic;\");\n\t\tintro.push('<span style=\"' + style.join(\"\") + '\">');\n\t\toutro.push(\"</span>\");\n\t\treturn cp;\n\t};\n\n\t/* 18.4.4 r CT_RElt */\n\tfunction parse_r(r) {\n\t\tvar terms = [[],\"\",[]];\n\t\t/* 18.4.12 t ST_Xstring */\n\t\tvar t = r.match(tregex), cp = 65001;\n\t\tif(!isval(t)) return \"\";\n\t\tterms[1] = t[1];\n\n\t\tvar rpr = r.match(rpregex);\n\t\tif(isval(rpr)) cp = parse_rpr(rpr[1], terms[0], terms[2]);\n\n\t\treturn terms[0].join(\"\") + terms[1].replace(nlregex,'<br/>') + terms[2].join(\"\");\n\t}\n\treturn function parse_rs(rs) {\n\t\treturn rs.replace(rregex,\"\").split(rend).map(parse_r).join(\"\");\n\t};\n})();\n\n/* 18.4.8 si CT_Rst */\nvar sitregex = /<t[^>]*>([^<]*)<\\/t>/g, sirregex = /<r>/;\nfunction parse_si(x, opts) {\n\tvar html = opts ? opts.cellHTML : true;\n\tvar z = {};\n\tif(!x) return null;\n\tvar y;\n\t/* 18.4.12 t ST_Xstring (Plaintext String) */\n\tif(x.charCodeAt(1) === 116) {\n\t\tz.t = utf8read(unescapexml(x.substr(x.indexOf(\">\")+1).split(/<\\/t>/)[0]));\n\t\tz.r = x;\n\t\tif(html) z.h = z.t;\n\t}\n\t/* 18.4.4 r CT_RElt (Rich Text Run) */\n\telse if((y = x.match(sirregex))) {\n\t\tz.r = x;\n\t\tz.t = utf8read(unescapexml(x.match(sitregex).join(\"\").replace(tagregex,\"\")));\n\t\tif(html) z.h = parse_rs(x);\n\t}\n\t/* 18.4.3 phoneticPr CT_PhoneticPr (TODO: needed for Asian support) */\n\t/* 18.4.6 rPh CT_PhoneticRun (TODO: needed for Asian support) */\n\treturn z;\n}\n\n/* 18.4 Shared String Table */\nvar sstr0 = /<sst([^>]*)>([\\s\\S]*)<\\/sst>/;\nvar sstr1 = /<(?:si|sstItem)>/g;\nvar sstr2 = /<\\/(?:si|sstItem)>/;\nfunction parse_sst_xml(data, opts) {\n\tvar s = [], ss;\n\t/* 18.4.9 sst CT_Sst */\n\tvar sst = data.match(sstr0);\n\tif(isval(sst)) {\n\t\tss = sst[2].replace(sstr1,\"\").split(sstr2);\n\t\tfor(var i = 0; i != ss.length; ++i) {\n\t\t\tvar o = parse_si(ss[i], opts);\n\t\t\tif(o != null) s[s.length] = o;\n\t\t}\n\t\tsst = parsexmltag(sst[1]); s.Count = sst.count; s.Unique = sst.uniqueCount;\n\t}\n\treturn s;\n}\n\nRELS.SST = \"http://schemas.openxmlformats.org/officeDocument/2006/relationships/sharedStrings\";\nvar straywsregex = /^\\s|\\s$|[\\t\\n\\r]/;\nfunction write_sst_xml(sst, opts) {\n\tif(!opts.bookSST) return \"\";\n\tvar o = [XML_HEADER];\n\to[o.length] = (writextag('sst', null, {\n\t\txmlns: XMLNS.main[0],\n\t\tcount: sst.Count,\n\t\tuniqueCount: sst.Unique\n\t}));\n\tfor(var i = 0; i != sst.length; ++i) { if(sst[i] == null) continue;\n\t\tvar s = sst[i];\n\t\tvar sitag = \"<si>\";\n\t\tif(s.r) sitag += s.r;\n\t\telse {\n\t\t\tsitag += \"<t\";\n\t\t\tif(s.t.match(straywsregex)) sitag += ' xml:space=\"preserve\"';\n\t\t\tsitag += \">\" + escapexml(s.t) + \"</t>\";\n\t\t}\n\t\tsitag += \"</si>\";\n\t\to[o.length] = (sitag);\n\t}\n\tif(o.length>2){ o[o.length] = ('</sst>'); o[1]=o[1].replace(\"/>\",\">\"); }\n\treturn o.join(\"\");\n}\n/* [MS-XLSB] 2.4.219 BrtBeginSst */\nfunction parse_BrtBeginSst(data, length) {\n\treturn [data.read_shift(4), data.read_shift(4)];\n}\n\n/* [MS-XLSB] 2.1.7.45 Shared Strings */\nfunction parse_sst_bin(data, opts) {\n\tvar s = [];\n\tvar pass = false;\n\trecordhopper(data, function hopper_sst(val, R, RT) {\n\t\tswitch(R.n) {\n\t\t\tcase 'BrtBeginSst': s.Count = val[0]; s.Unique = val[1]; break;\n\t\t\tcase 'BrtSSTItem': s.push(val); break;\n\t\t\tcase 'BrtEndSst': return true;\n\t\t\t/* TODO: produce a test case with a future record */\n\t\t\tcase 'BrtFRTBegin': pass = true; break;\n\t\t\tcase 'BrtFRTEnd': pass = false; break;\n\t\t\tdefault: if(!pass || opts.WTF) throw new Error(\"Unexpected record \" + RT + \" \" + R.n);\n\t\t}\n\t});\n\treturn s;\n}\n\nfunction write_BrtBeginSst(sst, o) {\n\tif(!o) o = new_buf(8);\n\to.write_shift(4, sst.Count);\n\to.write_shift(4, sst.Unique);\n\treturn o;\n}\n\nvar write_BrtSSTItem = write_RichStr;\n\nfunction write_sst_bin(sst, opts) {\n\tvar ba = buf_array();\n\twrite_record(ba, \"BrtBeginSst\", write_BrtBeginSst(sst));\n\tfor(var i = 0; i < sst.length; ++i) write_record(ba, \"BrtSSTItem\", write_BrtSSTItem(sst[i]));\n\twrite_record(ba, \"BrtEndSst\");\n\treturn ba.end();\n}\nfunction _JS2ANSI(str) { if(typeof cptable !== 'undefined') return cptable.utils.encode(1252, str); return str.split(\"\").map(function(x) { return x.charCodeAt(0); }); }\n\n/* [MS-OFFCRYPTO] 2.1.4 Version */\nfunction parse_Version(blob, length) {\n\tvar o = {};\n\to.Major = blob.read_shift(2);\n\to.Minor = blob.read_shift(2);\n\treturn o;\n}\n/* [MS-OFFCRYPTO] 2.3.2 Encryption Header */\nfunction parse_EncryptionHeader(blob, length) {\n\tvar o = {};\n\to.Flags = blob.read_shift(4);\n\n\t// Check if SizeExtra is 0x00000000\n\tvar tmp = blob.read_shift(4);\n\tif(tmp !== 0) throw 'Unrecognized SizeExtra: ' + tmp;\n\n\to.AlgID = blob.read_shift(4);\n\tswitch(o.AlgID) {\n\t\tcase 0: case 0x6801: case 0x660E: case 0x660F: case 0x6610: break;\n\t\tdefault: throw 'Unrecognized encryption algorithm: ' + o.AlgID;\n\t}\n\tparsenoop(blob, length-12);\n\treturn o;\n}\n\n/* [MS-OFFCRYPTO] 2.3.3 Encryption Verifier */\nfunction parse_EncryptionVerifier(blob, length) {\n\treturn parsenoop(blob, length);\n}\n/* [MS-OFFCRYPTO] 2.3.5.1 RC4 CryptoAPI Encryption Header */\nfunction parse_RC4CryptoHeader(blob, length) {\n\tvar o = {};\n\tvar vers = o.EncryptionVersionInfo = parse_Version(blob, 4); length -= 4;\n\tif(vers.Minor != 2) throw 'unrecognized minor version code: ' + vers.Minor;\n\tif(vers.Major > 4 || vers.Major < 2) throw 'unrecognized major version code: ' + vers.Major;\n\to.Flags = blob.read_shift(4); length -= 4;\n\tvar sz = blob.read_shift(4); length -= 4;\n\to.EncryptionHeader = parse_EncryptionHeader(blob, sz); length -= sz;\n\to.EncryptionVerifier = parse_EncryptionVerifier(blob, length);\n\treturn o;\n}\n/* [MS-OFFCRYPTO] 2.3.6.1 RC4 Encryption Header */\nfunction parse_RC4Header(blob, length) {\n\tvar o = {};\n\tvar vers = o.EncryptionVersionInfo = parse_Version(blob, 4); length -= 4;\n\tif(vers.Major != 1 || vers.Minor != 1) throw 'unrecognized version code ' + vers.Major + ' : ' + vers.Minor;\n\to.Salt = blob.read_shift(16);\n\to.EncryptedVerifier = blob.read_shift(16);\n\to.EncryptedVerifierHash = blob.read_shift(16);\n\treturn o;\n}\n\n/* [MS-OFFCRYPTO] 2.3.7.1 Binary Document Password Verifier Derivation */\nfunction crypto_CreatePasswordVerifier_Method1(Password) {\n\tvar Verifier = 0x0000, PasswordArray;\n\tvar PasswordDecoded = _JS2ANSI(Password);\n\tvar len = PasswordDecoded.length + 1, i, PasswordByte;\n\tvar Intermediate1, Intermediate2, Intermediate3;\n\tPasswordArray = new_raw_buf(len);\n\tPasswordArray[0] = PasswordDecoded.length;\n\tfor(i = 1; i != len; ++i) PasswordArray[i] = PasswordDecoded[i-1];\n\tfor(i = len-1; i >= 0; --i) {\n\t\tPasswordByte = PasswordArray[i];\n\t\tIntermediate1 = ((Verifier & 0x4000) === 0x0000) ? 0 : 1;\n\t\tIntermediate2 = (Verifier << 1) & 0x7FFF;\n\t\tIntermediate3 = Intermediate1 | Intermediate2;\n\t\tVerifier = Intermediate3 ^ PasswordByte;\n\t}\n\treturn Verifier ^ 0xCE4B;\n}\n\n/* [MS-OFFCRYPTO] 2.3.7.2 Binary Document XOR Array Initialization */\nvar crypto_CreateXorArray_Method1 = (function() {\n\tvar PadArray = [0xBB, 0xFF, 0xFF, 0xBA, 0xFF, 0xFF, 0xB9, 0x80, 0x00, 0xBE, 0x0F, 0x00, 0xBF, 0x0F, 0x00];\n\tvar InitialCode = [0xE1F0, 0x1D0F, 0xCC9C, 0x84C0, 0x110C, 0x0E10, 0xF1CE, 0x313E, 0x1872, 0xE139, 0xD40F, 0x84F9, 0x280C, 0xA96A, 0x4EC3];\n\tvar XorMatrix = [0xAEFC, 0x4DD9, 0x9BB2, 0x2745, 0x4E8A, 0x9D14, 0x2A09, 0x7B61, 0xF6C2, 0xFDA5, 0xEB6B, 0xC6F7, 0x9DCF, 0x2BBF, 0x4563, 0x8AC6, 0x05AD, 0x0B5A, 0x16B4, 0x2D68, 0x5AD0, 0x0375, 0x06EA, 0x0DD4, 0x1BA8, 0x3750, 0x6EA0, 0xDD40, 0xD849, 0xA0B3, 0x5147, 0xA28E, 0x553D, 0xAA7A, 0x44D5, 0x6F45, 0xDE8A, 0xAD35, 0x4A4B, 0x9496, 0x390D, 0x721A, 0xEB23, 0xC667, 0x9CEF, 0x29FF, 0x53FE, 0xA7FC, 0x5FD9, 0x47D3, 0x8FA6, 0x0F6D, 0x1EDA, 0x3DB4, 0x7B68, 0xF6D0, 0xB861, 0x60E3, 0xC1C6, 0x93AD, 0x377B, 0x6EF6, 0xDDEC, 0x45A0, 0x8B40, 0x06A1, 0x0D42, 0x1A84, 0x3508, 0x6A10, 0xAA51, 0x4483, 0x8906, 0x022D, 0x045A, 0x08B4, 0x1168, 0x76B4, 0xED68, 0xCAF1, 0x85C3, 0x1BA7, 0x374E, 0x6E9C, 0x3730, 0x6E60, 0xDCC0, 0xA9A1, 0x4363, 0x86C6, 0x1DAD, 0x3331, 0x6662, 0xCCC4, 0x89A9, 0x0373, 0x06E6, 0x0DCC, 0x1021, 0x2042, 0x4084, 0x8108, 0x1231, 0x2462, 0x48C4];\n\tvar Ror = function(Byte) { return ((Byte/2) | (Byte*128)) & 0xFF; };\n\tvar XorRor = function(byte1, byte2) { return Ror(byte1 ^ byte2); };\n\tvar CreateXorKey_Method1 = function(Password) {\n\t\tvar XorKey = InitialCode[Password.length - 1];\n\t\tvar CurrentElement = 0x68;\n\t\tfor(var i = Password.length-1; i >= 0; --i) {\n\t\t\tvar Char = Password[i];\n\t\t\tfor(var j = 0; j != 7; ++j) {\n\t\t\t\tif(Char & 0x40) XorKey ^= XorMatrix[CurrentElement];\n\t\t\t\tChar *= 2; --CurrentElement;\n\t\t\t}\n\t\t}\n\t\treturn XorKey;\n\t};\n\treturn function(password) {\n\t\tvar Password = _JS2ANSI(password);\n\t\tvar XorKey = CreateXorKey_Method1(Password);\n\t\tvar Index = Password.length;\n\t\tvar ObfuscationArray = new_raw_buf(16);\n\t\tfor(var i = 0; i != 16; ++i) ObfuscationArray[i] = 0x00;\n\t\tvar Temp, PasswordLastChar, PadIndex;\n\t\tif((Index & 1) === 1) {\n\t\t\tTemp = XorKey >> 8;\n\t\t\tObfuscationArray[Index] = XorRor(PadArray[0], Temp);\n\t\t\t--Index;\n\t\t\tTemp = XorKey & 0xFF;\n\t\t\tPasswordLastChar = Password[Password.length - 1];\n\t\t\tObfuscationArray[Index] = XorRor(PasswordLastChar, Temp);\n\t\t}\n\t\twhile(Index > 0) {\n\t\t\t--Index;\n\t\t\tTemp = XorKey >> 8;\n\t\t\tObfuscationArray[Index] = XorRor(Password[Index], Temp);\n\t\t\t--Index;\n\t\t\tTemp = XorKey & 0xFF;\n\t\t\tObfuscationArray[Index] = XorRor(Password[Index], Temp);\n\t\t}\n\t\tIndex = 15;\n\t\tPadIndex = 15 - Password.length;\n\t\twhile(PadIndex > 0) {\n\t\t\tTemp = XorKey >> 8;\n\t\t\tObfuscationArray[Index] = XorRor(PadArray[PadIndex], Temp);\n\t\t\t--Index;\n\t\t\t--PadIndex;\n\t\t\tTemp = XorKey & 0xFF;\n\t\t\tObfuscationArray[Index] = XorRor(Password[Index], Temp);\n\t\t\t--Index;\n\t\t\t--PadIndex;\n\t\t}\n\t\treturn ObfuscationArray;\n\t};\n})();\n\n/* [MS-OFFCRYPTO] 2.3.7.3 Binary Document XOR Data Transformation Method 1 */\nvar crypto_DecryptData_Method1 = function(password, Data, XorArrayIndex, XorArray, O) {\n\t/* If XorArray is set, use it; if O is not set, make changes in-place */\n\tif(!O) O = Data;\n\tif(!XorArray) XorArray = crypto_CreateXorArray_Method1(password);\n\tvar Index, Value;\n\tfor(Index = 0; Index != Data.length; ++Index) {\n\t\tValue = Data[Index];\n\t\tValue ^= XorArray[XorArrayIndex];\n\t\tValue = ((Value>>5) | (Value<<3)) & 0xFF;\n\t\tO[Index] = Value;\n\t\t++XorArrayIndex;\n\t}\n\treturn [O, XorArrayIndex, XorArray];\n};\n\nvar crypto_MakeXorDecryptor = function(password) {\n\tvar XorArrayIndex = 0, XorArray = crypto_CreateXorArray_Method1(password);\n\treturn function(Data) {\n\t\tvar O = crypto_DecryptData_Method1(null, Data, XorArrayIndex, XorArray);\n\t\tXorArrayIndex = O[1];\n\t\treturn O[0];\n\t};\n};\n\n/* 2.5.343 */\nfunction parse_XORObfuscation(blob, length, opts, out) {\n\tvar o = { key: parseuint16(blob), verificationBytes: parseuint16(blob) };\n\tif(opts.password) o.verifier = crypto_CreatePasswordVerifier_Method1(opts.password);\n\tout.valid = o.verificationBytes === o.verifier;\n\tif(out.valid) out.insitu_decrypt = crypto_MakeXorDecryptor(opts.password);\n\treturn o;\n}\n\n/* 2.4.117 */\nfunction parse_FilePassHeader(blob, length, oo) {\n\tvar o = oo || {}; o.Info = blob.read_shift(2); blob.l -= 2;\n\tif(o.Info === 1) o.Data = parse_RC4Header(blob, length);\n\telse o.Data = parse_RC4CryptoHeader(blob, length);\n\treturn o;\n}\nfunction parse_FilePass(blob, length, opts) {\n\tvar o = { Type: blob.read_shift(2) }; /* wEncryptionType */\n\tif(o.Type) parse_FilePassHeader(blob, length-2, o);\n\telse parse_XORObfuscation(blob, length-2, opts, o);\n\treturn o;\n}\n\n\nfunction hex2RGB(h) {\n\tvar o = h.substr(h[0]===\"#\"?1:0,6);\n\treturn [parseInt(o.substr(0,2),16),parseInt(o.substr(0,2),16),parseInt(o.substr(0,2),16)];\n}\nfunction rgb2Hex(rgb) {\n\tfor(var i=0,o=1; i!=3; ++i) o = o*256 + (rgb[i]>255?255:rgb[i]<0?0:rgb[i]);\n\treturn o.toString(16).toUpperCase().substr(1);\n}\n\nfunction rgb2HSL(rgb) {\n\tvar R = rgb[0]/255, G = rgb[1]/255, B=rgb[2]/255;\n\tvar M = Math.max(R, G, B), m = Math.min(R, G, B), C = M - m;\n\tif(C === 0) return [0, 0, R];\n\n\tvar H6 = 0, S = 0, L2 = (M + m);\n\tS = C / (L2 > 1 ? 2 - L2 : L2);\n\tswitch(M){\n\t\tcase R: H6 = ((G - B) / C + 6)%6; break;\n\t\tcase G: H6 = ((B - R) / C + 2); break;\n\t\tcase B: H6 = ((R - G) / C + 4); break;\n\t}\n\treturn [H6 / 6, S, L2 / 2];\n}\n\nfunction hsl2RGB(hsl){\n\tvar H = hsl[0], S = hsl[1], L = hsl[2];\n\tvar C = S * 2 * (L < 0.5 ? L : 1 - L), m = L - C/2;\n\tvar rgb = [m,m,m], h6 = 6*H;\n\n\tvar X;\n\tif(S !== 0) switch(h6|0) {\n\t\tcase 0: case 6: X = C * h6; rgb[0] += C; rgb[1] += X; break;\n\t\tcase 1: X = C * (2 - h6);   rgb[0] += X; rgb[1] += C; break;\n\t\tcase 2: X = C * (h6 - 2);   rgb[1] += C; rgb[2] += X; break;\n\t\tcase 3: X = C * (4 - h6);   rgb[1] += X; rgb[2] += C; break;\n\t\tcase 4: X = C * (h6 - 4);   rgb[2] += C; rgb[0] += X; break;\n\t\tcase 5: X = C * (6 - h6);   rgb[2] += X; rgb[0] += C; break;\n\t}\n\tfor(var i = 0; i != 3; ++i) rgb[i] = Math.round(rgb[i]*255);\n\treturn rgb;\n}\n\n/* 18.8.3 bgColor tint algorithm */\nfunction rgb_tint(hex, tint) {\n\tif(tint === 0) return hex;\n\tvar hsl = rgb2HSL(hex2RGB(hex));\n\tif (tint < 0) hsl[2] = hsl[2] * (1 + tint);\n\telse hsl[2] = 1 - (1 - hsl[2]) * (1 - tint);\n\treturn rgb2Hex(hsl2RGB(hsl));\n}\n\n/* 18.3.1.13 width calculations */\nvar DEF_MDW = 7, MAX_MDW = 15, MIN_MDW = 1, MDW = DEF_MDW;\nfunction width2px(width) { return (( width + ((128/MDW)|0)/256 )* MDW )|0; }\nfunction px2char(px) { return (((px - 5)/MDW * 100 + 0.5)|0)/100; }\nfunction char2width(chr) { return (((chr * MDW + 5)/MDW*256)|0)/256; }\nfunction cycle_width(collw) { return char2width(px2char(width2px(collw))); }\nfunction find_mdw(collw, coll) {\n\tif(cycle_width(collw) != collw) {\n\t\tfor(MDW=DEF_MDW; MDW>MIN_MDW; --MDW) if(cycle_width(collw) === collw) break;\n\t\tif(MDW === MIN_MDW) for(MDW=DEF_MDW+1; MDW<MAX_MDW; ++MDW) if(cycle_width(collw) === collw) break;\n\t\tif(MDW === MAX_MDW) MDW = DEF_MDW;\n\t}\n}\n\n/* [MS-EXSPXML3] 2.4.54 ST_enmPattern */\nvar XLMLPatternTypeMap = {\n\t\"None\": \"none\",\n\t\"Solid\": \"solid\",\n\t\"Gray50\": \"mediumGray\",\n\t\"Gray75\": \"darkGray\",\n\t\"Gray25\": \"lightGray\",\n\t\"HorzStripe\": \"darkHorizontal\",\n\t\"VertStripe\": \"darkVertical\",\n\t\"ReverseDiagStripe\": \"darkDown\",\n\t\"DiagStripe\": \"darkUp\",\n\t\"DiagCross\": \"darkGrid\",\n\t\"ThickDiagCross\": \"darkTrellis\",\n\t\"ThinHorzStripe\": \"lightHorizontal\",\n\t\"ThinVertStripe\": \"lightVertical\",\n\t\"ThinReverseDiagStripe\": \"lightDown\",\n\t\"ThinHorzCross\": \"lightGrid\"\n};\n\nvar styles = {}; // shared styles\n\nvar themes = {}; // shared themes\n\n/* 18.8.21 fills CT_Fills */\nfunction parse_fills(t, opts) {\n\tstyles.Fills = [];\n\tvar fill = {};\n\tt[0].match(tagregex).forEach(function(x) {\n\t\tvar y = parsexmltag(x);\n\t\tswitch(y[0]) {\n\t\t\tcase '<fills': case '<fills>': case '</fills>': break;\n\n\t\t\t/* 18.8.20 fill CT_Fill */\n\t\t\tcase '<fill>': break;\n\t\t\tcase '</fill>': styles.Fills.push(fill); fill = {}; break;\n\n\t\t\t/* 18.8.32 patternFill CT_PatternFill */\n\t\t\tcase '<patternFill':\n\t\t\t\tif(y.patternType) fill.patternType = y.patternType;\n\t\t\t\tbreak;\n\t\t\tcase '<patternFill/>': case '</patternFill>': break;\n\n\t\t\t/* 18.8.3 bgColor CT_Color */\n\t\t\tcase '<bgColor':\n\t\t\t\tif(!fill.bgColor) fill.bgColor = {};\n\t\t\t\tif(y.indexed) fill.bgColor.indexed = parseInt(y.indexed, 10);\n\t\t\t\tif(y.theme) fill.bgColor.theme = parseInt(y.theme, 10);\n\t\t\t\tif(y.tint) fill.bgColor.tint = parseFloat(y.tint);\n\t\t\t\t/* Excel uses ARGB strings */\n\t\t\t\tif(y.rgb) fill.bgColor.rgb = y.rgb.substring(y.rgb.length - 6);\n\t\t\t\tbreak;\n\t\t\tcase '<bgColor/>': case '</bgColor>': break;\n\n\t\t\t/* 18.8.19 fgColor CT_Color */\n\t\t\tcase '<fgColor':\n\t\t\t\tif(!fill.fgColor) fill.fgColor = {};\n\t\t\t\tif(y.theme) fill.fgColor.theme = parseInt(y.theme, 10);\n\t\t\t\tif(y.tint) fill.fgColor.tint = parseFloat(y.tint);\n\t\t\t\t/* Excel uses ARGB strings */\n\t\t\t\tif(y.rgb) fill.fgColor.rgb = y.rgb.substring(y.rgb.length - 6);\n\t\t\t\tbreak;\n\t\t\tcase '<fgColor/>': case '</fgColor>': break;\n\n\t\t\tdefault: if(opts.WTF) throw 'unrecognized ' + y[0] + ' in fills';\n\t\t}\n\t});\n}\n\n/* 18.8.31 numFmts CT_NumFmts */\nfunction parse_numFmts(t, opts) {\n\tstyles.NumberFmt = [];\n\tvar k = keys(SSF._table);\n\tfor(var i=0; i < k.length; ++i) styles.NumberFmt[k[i]] = SSF._table[k[i]];\n\tvar m = t[0].match(tagregex);\n\tfor(i=0; i < m.length; ++i) {\n\t\tvar y = parsexmltag(m[i]);\n\t\tswitch(y[0]) {\n\t\t\tcase '<numFmts': case '</numFmts>': case '<numFmts/>': case '<numFmts>': break;\n\t\t\tcase '<numFmt': {\n\t\t\t\tvar f=unescapexml(utf8read(y.formatCode)), j=parseInt(y.numFmtId,10);\n\t\t\t\tstyles.NumberFmt[j] = f; if(j>0) SSF.load(f,j);\n\t\t\t} break;\n\t\t\tdefault: if(opts.WTF) throw 'unrecognized ' + y[0] + ' in numFmts';\n\t\t}\n\t}\n}\n\nfunction write_numFmts(NF, opts) {\n\tvar o = [\"<numFmts>\"];\n\t[[5,8],[23,26],[41,44],[63,66],[164,392]].forEach(function(r) {\n\t\tfor(var i = r[0]; i <= r[1]; ++i) if(NF[i] !== undefined) o[o.length] = (writextag('numFmt',null,{numFmtId:i,formatCode:escapexml(NF[i])}));\n\t});\n\tif(o.length === 1) return \"\";\n\to[o.length] = (\"</numFmts>\");\n\to[0] = writextag('numFmts', null, { count:o.length-2 }).replace(\"/>\", \">\");\n\treturn o.join(\"\");\n}\n\n/* 18.8.10 cellXfs CT_CellXfs */\nfunction parse_cellXfs(t, opts) {\n\tstyles.CellXf = [];\n\tt[0].match(tagregex).forEach(function(x) {\n\t\tvar y = parsexmltag(x);\n\t\tswitch(y[0]) {\n\t\t\tcase '<cellXfs': case '<cellXfs>': case '<cellXfs/>': case '</cellXfs>': break;\n\n\t\t\t/* 18.8.45 xf CT_Xf */\n\t\t\tcase '<xf': delete y[0];\n\t\t\t\tif(y.numFmtId) y.numFmtId = parseInt(y.numFmtId, 10);\n\t\t\t\tif(y.fillId) y.fillId = parseInt(y.fillId, 10);\n\t\t\t\tstyles.CellXf.push(y); break;\n\t\t\tcase '</xf>': break;\n\n\t\t\t/* 18.8.1 alignment CT_CellAlignment */\n\t\t\tcase '<alignment': case '<alignment/>': break;\n\n\t\t\t/* 18.8.33 protection CT_CellProtection */\n\t\t\tcase '<protection': case '</protection>': case '<protection/>': break;\n\n\t\t\tcase '<extLst': case '</extLst>': break;\n\t\t\tcase '<ext': break;\n\t\t\tdefault: if(opts.WTF) throw 'unrecognized ' + y[0] + ' in cellXfs';\n\t\t}\n\t});\n}\n\nfunction write_cellXfs(cellXfs) {\n\tvar o = [];\n\to[o.length] = (writextag('cellXfs',null));\n\tcellXfs.forEach(function(c) { o[o.length] = (writextag('xf', null, c)); });\n\to[o.length] = (\"</cellXfs>\");\n\tif(o.length === 2) return \"\";\n\to[0] = writextag('cellXfs',null, {count:o.length-2}).replace(\"/>\",\">\");\n\treturn o.join(\"\");\n}\n\n/* 18.8 Styles CT_Stylesheet*/\nvar parse_sty_xml= (function make_pstyx() {\nvar numFmtRegex = /<numFmts([^>]*)>.*<\\/numFmts>/;\nvar cellXfRegex = /<cellXfs([^>]*)>.*<\\/cellXfs>/;\nvar fillsRegex = /<fills([^>]*)>.*<\\/fills>/;\n\nreturn function parse_sty_xml(data, opts) {\n\t/* 18.8.39 styleSheet CT_Stylesheet */\n\tvar t;\n\n\t/* numFmts CT_NumFmts ? */\n\tif((t=data.match(numFmtRegex))) parse_numFmts(t, opts);\n\n\t/* fonts CT_Fonts ? */\n\t/*if((t=data.match(/<fonts([^>]*)>.*<\\/fonts>/))) parse_fonts(t, opts);*/\n\n\t/* fills CT_Fills */\n\tif((t=data.match(fillsRegex))) parse_fills(t, opts);\n\n\t/* borders CT_Borders ? */\n\t/* cellStyleXfs CT_CellStyleXfs ? */\n\n\t/* cellXfs CT_CellXfs ? */\n\tif((t=data.match(cellXfRegex))) parse_cellXfs(t, opts);\n\n\t/* dxfs CT_Dxfs ? */\n\t/* tableStyles CT_TableStyles ? */\n\t/* colors CT_Colors ? */\n\t/* extLst CT_ExtensionList ? */\n\n\treturn styles;\n};\n})();\n\nvar STYLES_XML_ROOT = writextag('styleSheet', null, {\n\t'xmlns': XMLNS.main[0],\n\t'xmlns:vt': XMLNS.vt\n});\n\nRELS.STY = \"http://schemas.openxmlformats.org/officeDocument/2006/relationships/styles\";\n\nfunction write_sty_xml(wb, opts) {\n\tvar o = [XML_HEADER, STYLES_XML_ROOT], w;\n\tif((w = write_numFmts(wb.SSF)) != null) o[o.length] = w;\n\to[o.length] = ('<fonts count=\"1\"><font><sz val=\"12\"/><color theme=\"1\"/><name val=\"Calibri\"/><family val=\"2\"/><scheme val=\"minor\"/></font></fonts>');\n\to[o.length] = ('<fills count=\"2\"><fill><patternFill patternType=\"none\"/></fill><fill><patternFill patternType=\"gray125\"/></fill></fills>');\n\to[o.length] = ('<borders count=\"1\"><border><left/><right/><top/><bottom/><diagonal/></border></borders>');\n\to[o.length] = ('<cellStyleXfs count=\"1\"><xf numFmtId=\"0\" fontId=\"0\" fillId=\"0\" borderId=\"0\"/></cellStyleXfs>');\n\tif((w = write_cellXfs(opts.cellXfs))) o[o.length] = (w);\n\to[o.length] = ('<cellStyles count=\"1\"><cellStyle name=\"Normal\" xfId=\"0\" builtinId=\"0\"/></cellStyles>');\n\to[o.length] = ('<dxfs count=\"0\"/>');\n\to[o.length] = ('<tableStyles count=\"0\" defaultTableStyle=\"TableStyleMedium9\" defaultPivotStyle=\"PivotStyleMedium4\"/>');\n\n\tif(o.length>2){ o[o.length] = ('</styleSheet>'); o[1]=o[1].replace(\"/>\",\">\"); }\n\treturn o.join(\"\");\n}\n/* [MS-XLSB] 2.4.651 BrtFmt */\nfunction parse_BrtFmt(data, length) {\n\tvar ifmt = data.read_shift(2);\n\tvar stFmtCode = parse_XLWideString(data,length-2);\n\treturn [ifmt, stFmtCode];\n}\n\n/* [MS-XLSB] 2.4.653 BrtFont TODO */\nfunction parse_BrtFont(data, length) {\n\tvar out = {flags:{}};\n\tout.dyHeight = data.read_shift(2);\n\tout.grbit = parse_FontFlags(data, 2);\n\tout.bls = data.read_shift(2);\n\tout.sss = data.read_shift(2);\n\tout.uls = data.read_shift(1);\n\tout.bFamily = data.read_shift(1);\n\tout.bCharSet = data.read_shift(1);\n\tdata.l++;\n\tout.brtColor = parse_BrtColor(data, 8);\n\tout.bFontScheme = data.read_shift(1);\n\tout.name = parse_XLWideString(data, length - 21);\n\n\tout.flags.Bold = out.bls === 0x02BC;\n\tout.flags.Italic = out.grbit.fItalic;\n\tout.flags.Strikeout = out.grbit.fStrikeout;\n\tout.flags.Outline = out.grbit.fOutline;\n\tout.flags.Shadow = out.grbit.fShadow;\n\tout.flags.Condense = out.grbit.fCondense;\n\tout.flags.Extend = out.grbit.fExtend;\n\tout.flags.Sub = out.sss & 0x2;\n\tout.flags.Sup = out.sss & 0x1;\n\treturn out;\n}\n\n/* [MS-XLSB] 2.4.816 BrtXF */\nfunction parse_BrtXF(data, length) {\n\tvar ixfeParent = data.read_shift(2);\n\tvar ifmt = data.read_shift(2);\n\tparsenoop(data, length-4);\n\treturn {ixfe:ixfeParent, ifmt:ifmt };\n}\n\n/* [MS-XLSB] 2.1.7.50 Styles */\nfunction parse_sty_bin(data, opts) {\n\tstyles.NumberFmt = [];\n\tfor(var y in SSF._table) styles.NumberFmt[y] = SSF._table[y];\n\n\tstyles.CellXf = [];\n\tvar state = \"\"; /* TODO: this should be a stack */\n\tvar pass = false;\n\trecordhopper(data, function hopper_sty(val, R, RT) {\n\t\tswitch(R.n) {\n\t\t\tcase 'BrtFmt':\n\t\t\t\tstyles.NumberFmt[val[0]] = val[1]; SSF.load(val[1], val[0]);\n\t\t\t\tbreak;\n\t\t\tcase 'BrtFont': break; /* TODO */\n\t\t\tcase 'BrtKnownFonts': break; /* TODO */\n\t\t\tcase 'BrtFill': break; /* TODO */\n\t\t\tcase 'BrtBorder': break; /* TODO */\n\t\t\tcase 'BrtXF':\n\t\t\t\tif(state === \"CELLXFS\") {\n\t\t\t\t\tstyles.CellXf.push(val);\n\t\t\t\t}\n\t\t\t\tbreak; /* TODO */\n\t\t\tcase 'BrtStyle': break; /* TODO */\n\t\t\tcase 'BrtDXF': break; /* TODO */\n\t\t\tcase 'BrtMRUColor': break; /* TODO */\n\t\t\tcase 'BrtIndexedColor': break; /* TODO */\n\t\t\tcase 'BrtBeginStyleSheet': break;\n\t\t\tcase 'BrtEndStyleSheet': break;\n\t\t\tcase 'BrtBeginTableStyle': break;\n\t\t\tcase 'BrtTableStyleElement': break;\n\t\t\tcase 'BrtEndTableStyle': break;\n\t\t\tcase 'BrtBeginFmts': state = \"FMTS\"; break;\n\t\t\tcase 'BrtEndFmts': state = \"\"; break;\n\t\t\tcase 'BrtBeginFonts': state = \"FONTS\"; break;\n\t\t\tcase 'BrtEndFonts': state = \"\"; break;\n\t\t\tcase 'BrtACBegin': state = \"ACFONTS\"; break;\n\t\t\tcase 'BrtACEnd': state = \"\"; break;\n\t\t\tcase 'BrtBeginFills': state = \"FILLS\"; break;\n\t\t\tcase 'BrtEndFills': state = \"\"; break;\n\t\t\tcase 'BrtBeginBorders': state = \"BORDERS\"; break;\n\t\t\tcase 'BrtEndBorders': state = \"\"; break;\n\t\t\tcase 'BrtBeginCellStyleXFs': state = \"CELLSTYLEXFS\"; break;\n\t\t\tcase 'BrtEndCellStyleXFs': state = \"\"; break;\n\t\t\tcase 'BrtBeginCellXFs': state = \"CELLXFS\"; break;\n\t\t\tcase 'BrtEndCellXFs': state = \"\"; break;\n\t\t\tcase 'BrtBeginStyles': state = \"STYLES\"; break;\n\t\t\tcase 'BrtEndStyles': state = \"\"; break;\n\t\t\tcase 'BrtBeginDXFs': state = \"DXFS\"; break;\n\t\t\tcase 'BrtEndDXFs': state = \"\"; break;\n\t\t\tcase 'BrtBeginTableStyles': state = \"TABLESTYLES\"; break;\n\t\t\tcase 'BrtEndTableStyles': state = \"\"; break;\n\t\t\tcase 'BrtBeginColorPalette': state = \"COLORPALETTE\"; break;\n\t\t\tcase 'BrtEndColorPalette': state = \"\"; break;\n\t\t\tcase 'BrtBeginIndexedColors': state = \"INDEXEDCOLORS\"; break;\n\t\t\tcase 'BrtEndIndexedColors': state = \"\"; break;\n\t\t\tcase 'BrtBeginMRUColors': state = \"MRUCOLORS\"; break;\n\t\t\tcase 'BrtEndMRUColors': state = \"\"; break;\n\t\t\tcase 'BrtFRTBegin': pass = true; break;\n\t\t\tcase 'BrtFRTEnd': pass = false; break;\n\t\t\tcase 'BrtBeginStyleSheetExt14': break;\n\t\t\tcase 'BrtBeginSlicerStyles': break;\n\t\t\tcase 'BrtEndSlicerStyles': break;\n\t\t\tcase 'BrtBeginTimelineStylesheetExt15': break;\n\t\t\tcase 'BrtEndTimelineStylesheetExt15': break;\n\t\t\tcase 'BrtBeginTimelineStyles': break;\n\t\t\tcase 'BrtEndTimelineStyles': break;\n\t\t\tcase 'BrtEndStyleSheetExt14': break;\n\t\t\tdefault: if(!pass || opts.WTF) throw new Error(\"Unexpected record \" + RT + \" \" + R.n);\n\t\t}\n\t});\n\treturn styles;\n}\n\n/* [MS-XLSB] 2.1.7.50 Styles */\nfunction write_sty_bin(data, opts) {\n\tvar ba = buf_array();\n\twrite_record(ba, \"BrtBeginStyleSheet\");\n\t/* [FMTS] */\n\t/* [FONTS] */\n\t/* [FILLS] */\n\t/* [BORDERS] */\n\t/* CELLSTYLEXFS */\n\t/* CELLXFS*/\n\t/* STYLES */\n\t/* DXFS */\n\t/* TABLESTYLES */\n\t/* [COLORPALETTE] */\n\t/* FRTSTYLESHEET*/\n\twrite_record(ba, \"BrtEndStyleSheet\");\n\treturn ba.end();\n}\nRELS.THEME = \"http://schemas.openxmlformats.org/officeDocument/2006/relationships/theme\";\n\n/* 20.1.6.2 clrScheme CT_ColorScheme */\nfunction parse_clrScheme(t, opts) {\n\tthemes.themeElements.clrScheme = [];\n\tvar color = {};\n\tt[0].match(tagregex).forEach(function(x) {\n\t\tvar y = parsexmltag(x);\n\t\tswitch(y[0]) {\n\t\t\tcase '<a:clrScheme': case '</a:clrScheme>': break;\n\n\t\t\t/* 20.1.2.3.32 srgbClr CT_SRgbColor */\n\t\t\tcase '<a:srgbClr': color.rgb = y.val; break;\n\n\t\t\t/* 20.1.2.3.33 sysClr CT_SystemColor */\n\t\t\tcase '<a:sysClr': color.rgb = y.lastClr; break;\n\n\t\t\t/* 20.1.4.1.9 dk1 (Dark 1) */\n\t\t\tcase '<a:dk1>':\n\t\t\tcase '</a:dk1>':\n\t\t\t/* 20.1.4.1.10 dk2 (Dark 2) */\n\t\t\tcase '<a:dk2>':\n\t\t\tcase '</a:dk2>':\n\t\t\t/* 20.1.4.1.22 lt1 (Light 1) */\n\t\t\tcase '<a:lt1>':\n\t\t\tcase '</a:lt1>':\n\t\t\t/* 20.1.4.1.23 lt2 (Light 2) */\n\t\t\tcase '<a:lt2>':\n\t\t\tcase '</a:lt2>':\n\t\t\t/* 20.1.4.1.1 accent1 (Accent 1) */\n\t\t\tcase '<a:accent1>':\n\t\t\tcase '</a:accent1>':\n\t\t\t/* 20.1.4.1.2 accent2 (Accent 2) */\n\t\t\tcase '<a:accent2>':\n\t\t\tcase '</a:accent2>':\n\t\t\t/* 20.1.4.1.3 accent3 (Accent 3) */\n\t\t\tcase '<a:accent3>':\n\t\t\tcase '</a:accent3>':\n\t\t\t/* 20.1.4.1.4 accent4 (Accent 4) */\n\t\t\tcase '<a:accent4>':\n\t\t\tcase '</a:accent4>':\n\t\t\t/* 20.1.4.1.5 accent5 (Accent 5) */\n\t\t\tcase '<a:accent5>':\n\t\t\tcase '</a:accent5>':\n\t\t\t/* 20.1.4.1.6 accent6 (Accent 6) */\n\t\t\tcase '<a:accent6>':\n\t\t\tcase '</a:accent6>':\n\t\t\t/* 20.1.4.1.19 hlink (Hyperlink) */\n\t\t\tcase '<a:hlink>':\n\t\t\tcase '</a:hlink>':\n\t\t\t/* 20.1.4.1.15 folHlink (Followed Hyperlink) */\n\t\t\tcase '<a:folHlink>':\n\t\t\tcase '</a:folHlink>':\n\t\t\t\tif (y[0][1] === '/') {\n\t\t\t\t\tthemes.themeElements.clrScheme.push(color);\n\t\t\t\t\tcolor = {};\n\t\t\t\t} else {\n\t\t\t\t\tcolor.name = y[0].substring(3, y[0].length - 1);\n\t\t\t\t}\n\t\t\t\tbreak;\n\n\t\t\tdefault: if(opts.WTF) throw 'unrecognized ' + y[0] + ' in clrScheme';\n\t\t}\n\t});\n}\n\n/* 20.1.4.1.18 fontScheme CT_FontScheme */\nfunction parse_fontScheme(t, opts) { }\n\n/* 20.1.4.1.15 fmtScheme CT_StyleMatrix */\nfunction parse_fmtScheme(t, opts) { }\n\nvar clrsregex = /<a:clrScheme([^>]*)>[^\\u2603]*<\\/a:clrScheme>/;\nvar fntsregex = /<a:fontScheme([^>]*)>[^\\u2603]*<\\/a:fontScheme>/;\nvar fmtsregex = /<a:fmtScheme([^>]*)>[^\\u2603]*<\\/a:fmtScheme>/;\n\n/* 20.1.6.10 themeElements CT_BaseStyles */\nfunction parse_themeElements(data, opts) {\n\tthemes.themeElements = {};\n\n\tvar t;\n\n\t[\n\t\t/* clrScheme CT_ColorScheme */\n\t\t['clrScheme', clrsregex, parse_clrScheme],\n\t\t/* fontScheme CT_FontScheme */\n\t\t['fontScheme', fntsregex, parse_fontScheme],\n\t\t/* fmtScheme CT_StyleMatrix */\n\t\t['fmtScheme', fmtsregex, parse_fmtScheme]\n\t].forEach(function(m) {\n\t\tif(!(t=data.match(m[1]))) throw m[0] + ' not found in themeElements';\n\t\tm[2](t, opts);\n\t});\n}\n\nvar themeltregex = /<a:themeElements([^>]*)>[^\\u2603]*<\\/a:themeElements>/;\n\n/* 14.2.7 Theme Part */\nfunction parse_theme_xml(data, opts) {\n\t/* 20.1.6.9 theme CT_OfficeStyleSheet */\n\tif(!data || data.length === 0) return themes;\n\n\tvar t;\n\n\t/* themeElements CT_BaseStyles */\n\tif(!(t=data.match(themeltregex))) throw 'themeElements not found in theme';\n\tparse_themeElements(t[0], opts);\n\n\treturn themes;\n}\n\nfunction write_theme() { return '<?xml version=\"1.0\" encoding=\"UTF-8\" standalone=\"yes\"?>\\n<a:theme xmlns:a=\"http://schemas.openxmlformats.org/drawingml/2006/main\" name=\"Office Theme\"><a:themeElements><a:clrScheme name=\"Office\"><a:dk1><a:sysClr val=\"windowText\" lastClr=\"000000\"/></a:dk1><a:lt1><a:sysClr val=\"window\" lastClr=\"FFFFFF\"/></a:lt1><a:dk2><a:srgbClr val=\"1F497D\"/></a:dk2><a:lt2><a:srgbClr val=\"EEECE1\"/></a:lt2><a:accent1><a:srgbClr val=\"4F81BD\"/></a:accent1><a:accent2><a:srgbClr val=\"C0504D\"/></a:accent2><a:accent3><a:srgbClr val=\"9BBB59\"/></a:accent3><a:accent4><a:srgbClr val=\"8064A2\"/></a:accent4><a:accent5><a:srgbClr val=\"4BACC6\"/></a:accent5><a:accent6><a:srgbClr val=\"F79646\"/></a:accent6><a:hlink><a:srgbClr val=\"0000FF\"/></a:hlink><a:folHlink><a:srgbClr val=\"800080\"/></a:folHlink></a:clrScheme><a:fontScheme name=\"Office\"><a:majorFont><a:latin typeface=\"Cambria\"/><a:ea typeface=\"\"/><a:cs typeface=\"\"/><a:font script=\"Jpan\" typeface=\"ＭＳ Ｐゴシック\"/><a:font script=\"Hang\" typeface=\"맑은 고딕\"/><a:font script=\"Hans\" typeface=\"宋体\"/><a:font script=\"Hant\" typeface=\"新細明體\"/><a:font script=\"Arab\" typeface=\"Times New Roman\"/><a:font script=\"Hebr\" typeface=\"Times New Roman\"/><a:font script=\"Thai\" typeface=\"Tahoma\"/><a:font script=\"Ethi\" typeface=\"Nyala\"/><a:font script=\"Beng\" typeface=\"Vrinda\"/><a:font script=\"Gujr\" typeface=\"Shruti\"/><a:font script=\"Khmr\" typeface=\"MoolBoran\"/><a:font script=\"Knda\" typeface=\"Tunga\"/><a:font script=\"Guru\" typeface=\"Raavi\"/><a:font script=\"Cans\" typeface=\"Euphemia\"/><a:font script=\"Cher\" typeface=\"Plantagenet Cherokee\"/><a:font script=\"Yiii\" typeface=\"Microsoft Yi Baiti\"/><a:font script=\"Tibt\" typeface=\"Microsoft Himalaya\"/><a:font script=\"Thaa\" typeface=\"MV Boli\"/><a:font script=\"Deva\" typeface=\"Mangal\"/><a:font script=\"Telu\" typeface=\"Gautami\"/><a:font script=\"Taml\" typeface=\"Latha\"/><a:font script=\"Syrc\" typeface=\"Estrangelo Edessa\"/><a:font script=\"Orya\" typeface=\"Kalinga\"/><a:font script=\"Mlym\" typeface=\"Kartika\"/><a:font script=\"Laoo\" typeface=\"DokChampa\"/><a:font script=\"Sinh\" typeface=\"Iskoola Pota\"/><a:font script=\"Mong\" typeface=\"Mongolian Baiti\"/><a:font script=\"Viet\" typeface=\"Times New Roman\"/><a:font script=\"Uigh\" typeface=\"Microsoft Uighur\"/><a:font script=\"Geor\" typeface=\"Sylfaen\"/></a:majorFont><a:minorFont><a:latin typeface=\"Calibri\"/><a:ea typeface=\"\"/><a:cs typeface=\"\"/><a:font script=\"Jpan\" typeface=\"ＭＳ Ｐゴシック\"/><a:font script=\"Hang\" typeface=\"맑은 고딕\"/><a:font script=\"Hans\" typeface=\"宋体\"/><a:font script=\"Hant\" typeface=\"新細明體\"/><a:font script=\"Arab\" typeface=\"Arial\"/><a:font script=\"Hebr\" typeface=\"Arial\"/><a:font script=\"Thai\" typeface=\"Tahoma\"/><a:font script=\"Ethi\" typeface=\"Nyala\"/><a:font script=\"Beng\" typeface=\"Vrinda\"/><a:font script=\"Gujr\" typeface=\"Shruti\"/><a:font script=\"Khmr\" typeface=\"DaunPenh\"/><a:font script=\"Knda\" typeface=\"Tunga\"/><a:font script=\"Guru\" typeface=\"Raavi\"/><a:font script=\"Cans\" typeface=\"Euphemia\"/><a:font script=\"Cher\" typeface=\"Plantagenet Cherokee\"/><a:font script=\"Yiii\" typeface=\"Microsoft Yi Baiti\"/><a:font script=\"Tibt\" typeface=\"Microsoft Himalaya\"/><a:font script=\"Thaa\" typeface=\"MV Boli\"/><a:font script=\"Deva\" typeface=\"Mangal\"/><a:font script=\"Telu\" typeface=\"Gautami\"/><a:font script=\"Taml\" typeface=\"Latha\"/><a:font script=\"Syrc\" typeface=\"Estrangelo Edessa\"/><a:font script=\"Orya\" typeface=\"Kalinga\"/><a:font script=\"Mlym\" typeface=\"Kartika\"/><a:font script=\"Laoo\" typeface=\"DokChampa\"/><a:font script=\"Sinh\" typeface=\"Iskoola Pota\"/><a:font script=\"Mong\" typeface=\"Mongolian Baiti\"/><a:font script=\"Viet\" typeface=\"Arial\"/><a:font script=\"Uigh\" typeface=\"Microsoft Uighur\"/><a:font script=\"Geor\" typeface=\"Sylfaen\"/></a:minorFont></a:fontScheme><a:fmtScheme name=\"Office\"><a:fillStyleLst><a:solidFill><a:schemeClr val=\"phClr\"/></a:solidFill><a:gradFill rotWithShape=\"1\"><a:gsLst><a:gs pos=\"0\"><a:schemeClr val=\"phClr\"><a:tint val=\"50000\"/><a:satMod val=\"300000\"/></a:schemeClr></a:gs><a:gs pos=\"35000\"><a:schemeClr val=\"phClr\"><a:tint val=\"37000\"/><a:satMod val=\"300000\"/></a:schemeClr></a:gs><a:gs pos=\"100000\"><a:schemeClr val=\"phClr\"><a:tint val=\"15000\"/><a:satMod val=\"350000\"/></a:schemeClr></a:gs></a:gsLst><a:lin ang=\"16200000\" scaled=\"1\"/></a:gradFill><a:gradFill rotWithShape=\"1\"><a:gsLst><a:gs pos=\"0\"><a:schemeClr val=\"phClr\"><a:tint val=\"100000\"/><a:shade val=\"100000\"/><a:satMod val=\"130000\"/></a:schemeClr></a:gs><a:gs pos=\"100000\"><a:schemeClr val=\"phClr\"><a:tint val=\"50000\"/><a:shade val=\"100000\"/><a:satMod val=\"350000\"/></a:schemeClr></a:gs></a:gsLst><a:lin ang=\"16200000\" scaled=\"0\"/></a:gradFill></a:fillStyleLst><a:lnStyleLst><a:ln w=\"9525\" cap=\"flat\" cmpd=\"sng\" algn=\"ctr\"><a:solidFill><a:schemeClr val=\"phClr\"><a:shade val=\"95000\"/><a:satMod val=\"105000\"/></a:schemeClr></a:solidFill><a:prstDash val=\"solid\"/></a:ln><a:ln w=\"25400\" cap=\"flat\" cmpd=\"sng\" algn=\"ctr\"><a:solidFill><a:schemeClr val=\"phClr\"/></a:solidFill><a:prstDash val=\"solid\"/></a:ln><a:ln w=\"38100\" cap=\"flat\" cmpd=\"sng\" algn=\"ctr\"><a:solidFill><a:schemeClr val=\"phClr\"/></a:solidFill><a:prstDash val=\"solid\"/></a:ln></a:lnStyleLst><a:effectStyleLst><a:effectStyle><a:effectLst><a:outerShdw blurRad=\"40000\" dist=\"20000\" dir=\"5400000\" rotWithShape=\"0\"><a:srgbClr val=\"000000\"><a:alpha val=\"38000\"/></a:srgbClr></a:outerShdw></a:effectLst></a:effectStyle><a:effectStyle><a:effectLst><a:outerShdw blurRad=\"40000\" dist=\"23000\" dir=\"5400000\" rotWithShape=\"0\"><a:srgbClr val=\"000000\"><a:alpha val=\"35000\"/></a:srgbClr></a:outerShdw></a:effectLst></a:effectStyle><a:effectStyle><a:effectLst><a:outerShdw blurRad=\"40000\" dist=\"23000\" dir=\"5400000\" rotWithShape=\"0\"><a:srgbClr val=\"000000\"><a:alpha val=\"35000\"/></a:srgbClr></a:outerShdw></a:effectLst><a:scene3d><a:camera prst=\"orthographicFront\"><a:rot lat=\"0\" lon=\"0\" rev=\"0\"/></a:camera><a:lightRig rig=\"threePt\" dir=\"t\"><a:rot lat=\"0\" lon=\"0\" rev=\"1200000\"/></a:lightRig></a:scene3d><a:sp3d><a:bevelT w=\"63500\" h=\"25400\"/></a:sp3d></a:effectStyle></a:effectStyleLst><a:bgFillStyleLst><a:solidFill><a:schemeClr val=\"phClr\"/></a:solidFill><a:gradFill rotWithShape=\"1\"><a:gsLst><a:gs pos=\"0\"><a:schemeClr val=\"phClr\"><a:tint val=\"40000\"/><a:satMod val=\"350000\"/></a:schemeClr></a:gs><a:gs pos=\"40000\"><a:schemeClr val=\"phClr\"><a:tint val=\"45000\"/><a:shade val=\"99000\"/><a:satMod val=\"350000\"/></a:schemeClr></a:gs><a:gs pos=\"100000\"><a:schemeClr val=\"phClr\"><a:shade val=\"20000\"/><a:satMod val=\"255000\"/></a:schemeClr></a:gs></a:gsLst><a:path path=\"circle\"><a:fillToRect l=\"50000\" t=\"-80000\" r=\"50000\" b=\"180000\"/></a:path></a:gradFill><a:gradFill rotWithShape=\"1\"><a:gsLst><a:gs pos=\"0\"><a:schemeClr val=\"phClr\"><a:tint val=\"80000\"/><a:satMod val=\"300000\"/></a:schemeClr></a:gs><a:gs pos=\"100000\"><a:schemeClr val=\"phClr\"><a:shade val=\"30000\"/><a:satMod val=\"200000\"/></a:schemeClr></a:gs></a:gsLst><a:path path=\"circle\"><a:fillToRect l=\"50000\" t=\"50000\" r=\"50000\" b=\"50000\"/></a:path></a:gradFill></a:bgFillStyleLst></a:fmtScheme></a:themeElements><a:objectDefaults><a:spDef><a:spPr/><a:bodyPr/><a:lstStyle/><a:style><a:lnRef idx=\"1\"><a:schemeClr val=\"accent1\"/></a:lnRef><a:fillRef idx=\"3\"><a:schemeClr val=\"accent1\"/></a:fillRef><a:effectRef idx=\"2\"><a:schemeClr val=\"accent1\"/></a:effectRef><a:fontRef idx=\"minor\"><a:schemeClr val=\"lt1\"/></a:fontRef></a:style></a:spDef><a:lnDef><a:spPr/><a:bodyPr/><a:lstStyle/><a:style><a:lnRef idx=\"2\"><a:schemeClr val=\"accent1\"/></a:lnRef><a:fillRef idx=\"0\"><a:schemeClr val=\"accent1\"/></a:fillRef><a:effectRef idx=\"1\"><a:schemeClr val=\"accent1\"/></a:effectRef><a:fontRef idx=\"minor\"><a:schemeClr val=\"tx1\"/></a:fontRef></a:style></a:lnDef></a:objectDefaults><a:extraClrSchemeLst/></a:theme>'; }\n/* [MS-XLS] 2.4.326 TODO: payload is a zip file */\nfunction parse_Theme(blob, length) {\n\tvar dwThemeVersion = blob.read_shift(4);\n\tif(dwThemeVersion === 124226) return;\n\tblob.l += length-4;\n}\n\n/* 2.5.49 */\nfunction parse_ColorTheme(blob, length) { return blob.read_shift(4); }\n\n/* 2.5.155 */\nfunction parse_FullColorExt(blob, length) {\n\tvar o = {};\n\to.xclrType = blob.read_shift(2);\n\to.nTintShade = blob.read_shift(2);\n\tswitch(o.xclrType) {\n\t\tcase 0: blob.l += 4; break;\n\t\tcase 1: o.xclrValue = parse_IcvXF(blob, 4); break;\n\t\tcase 2: o.xclrValue = parse_LongRGBA(blob, 4); break;\n\t\tcase 3: o.xclrValue = parse_ColorTheme(blob, 4); break;\n\t\tcase 4: blob.l += 4; break;\n\t}\n\tblob.l += 8;\n\treturn o;\n}\n\n/* 2.5.164 TODO: read 7 bits*/\nfunction parse_IcvXF(blob, length) {\n\treturn parsenoop(blob, length);\n}\n\n/* 2.5.280 */\nfunction parse_XFExtGradient(blob, length) {\n\treturn parsenoop(blob, length);\n}\n\n/* 2.5.108 */\nfunction parse_ExtProp(blob, length) {\n\tvar extType = blob.read_shift(2);\n\tvar cb = blob.read_shift(2);\n\tvar o = [extType];\n\tswitch(extType) {\n\t\tcase 0x04: case 0x05: case 0x07: case 0x08:\n\t\tcase 0x09: case 0x0A: case 0x0B: case 0x0D:\n\t\t\to[1] = parse_FullColorExt(blob, cb); break;\n\t\tcase 0x06: o[1] = parse_XFExtGradient(blob, cb); break;\n\t\tcase 0x0E: case 0x0F: o[1] = blob.read_shift(cb === 5 ? 1 : 2); break;\n\t\tdefault: throw new Error(\"Unrecognized ExtProp type: \" + extType + \" \" + cb);\n\t}\n\treturn o;\n}\n\n/* 2.4.355 */\nfunction parse_XFExt(blob, length) {\n\tvar end = blob.l + length;\n\tblob.l += 2;\n\tvar ixfe = blob.read_shift(2);\n\tblob.l += 2;\n\tvar cexts = blob.read_shift(2);\n\tvar ext = [];\n\twhile(cexts-- > 0) ext.push(parse_ExtProp(blob, end-blob.l));\n\treturn {ixfe:ixfe, ext:ext};\n}\n\n/* xf is an XF, see parse_XFExt for xfext */\nfunction update_xfext(xf, xfext) {\n\txfext.forEach(function(xfe) {\n\t\tswitch(xfe[0]) { /* 2.5.108 extPropData */\n\t\t\tcase 0x04: break; /* foreground color */\n\t\t\tcase 0x05: break; /* background color */\n\t\t\tcase 0x07: case 0x08: case 0x09: case 0x0a: break;\n\t\t\tcase 0x0d: break; /* text color */\n\t\t\tcase 0x0e: break; /* font scheme */\n\t\t\tdefault: throw \"bafuq\" + xfe[0].toString(16);\n\t\t}\n\t});\n}\n\n/* 18.6 Calculation Chain */\nfunction parse_cc_xml(data, opts) {\n\tvar d = [];\n\tvar l = 0, i = 1;\n\t(data.match(tagregex)||[]).forEach(function(x) {\n\t\tvar y = parsexmltag(x);\n\t\tswitch(y[0]) {\n\t\t\tcase '<?xml': break;\n\t\t\t/* 18.6.2  calcChain CT_CalcChain 1 */\n\t\t\tcase '<calcChain': case '<calcChain>': case '</calcChain>': break;\n\t\t\t/* 18.6.1  c CT_CalcCell 1 */\n\t\t\tcase '<c': delete y[0]; if(y.i) i = y.i; else y.i = i; d.push(y); break;\n\t\t}\n\t});\n\treturn d;\n}\n\nfunction write_cc_xml(data, opts) { }\n/* [MS-XLSB] 2.6.4.1 */\nfunction parse_BrtCalcChainItem$(data, length) {\n\tvar out = {};\n\tout.i = data.read_shift(4);\n\tvar cell = {};\n\tcell.r = data.read_shift(4);\n\tcell.c = data.read_shift(4);\n\tout.r = encode_cell(cell);\n\tvar flags = data.read_shift(1);\n\tif(flags & 0x2) out.l = '1';\n\tif(flags & 0x8) out.a = '1';\n\treturn out;\n}\n\n/* 18.6 Calculation Chain */\nfunction parse_cc_bin(data, opts) {\n\tvar out = [];\n\tvar pass = false;\n\trecordhopper(data, function hopper_cc(val, R, RT) {\n\t\tswitch(R.n) {\n\t\t\tcase 'BrtCalcChainItem$': out.push(val); break;\n\t\t\tcase 'BrtBeginCalcChain$': break;\n\t\t\tcase 'BrtEndCalcChain$': break;\n\t\t\tdefault: if(!pass || opts.WTF) throw new Error(\"Unexpected record \" + RT + \" \" + R.n);\n\t\t}\n\t});\n\treturn out;\n}\n\nfunction write_cc_bin(data, opts) { }\n\nfunction parse_comments(zip, dirComments, sheets, sheetRels, opts) {\n\tfor(var i = 0; i != dirComments.length; ++i) {\n\t\tvar canonicalpath=dirComments[i];\n\t\tvar comments=parse_cmnt(getzipdata(zip, canonicalpath.replace(/^\\//,''), true), canonicalpath, opts);\n\t\tif(!comments || !comments.length) continue;\n\t\t// find the sheets targeted by these comments\n\t\tvar sheetNames = keys(sheets);\n\t\tfor(var j = 0; j != sheetNames.length; ++j) {\n\t\t\tvar sheetName = sheetNames[j];\n\t\t\tvar rels = sheetRels[sheetName];\n\t\t\tif(rels) {\n\t\t\t\tvar rel = rels[canonicalpath];\n\t\t\t\tif(rel) insertCommentsIntoSheet(sheetName, sheets[sheetName], comments);\n\t\t\t}\n\t\t}\n\t}\n}\n\nfunction insertCommentsIntoSheet(sheetName, sheet, comments) {\n\tcomments.forEach(function(comment) {\n\t\tvar cell = sheet[comment.ref];\n\t\tif (!cell) {\n\t\t\tcell = {};\n\t\t\tsheet[comment.ref] = cell;\n\t\t\tvar range = safe_decode_range(sheet[\"!ref\"]||\"BDWGO1000001:A1\");\n\t\t\tvar thisCell = decode_cell(comment.ref);\n\t\t\tif(range.s.r > thisCell.r) range.s.r = thisCell.r;\n\t\t\tif(range.e.r < thisCell.r) range.e.r = thisCell.r;\n\t\t\tif(range.s.c > thisCell.c) range.s.c = thisCell.c;\n\t\t\tif(range.e.c < thisCell.c) range.e.c = thisCell.c;\n\t\t\tvar encoded = encode_range(range);\n\t\t\tif (encoded !== sheet[\"!ref\"]) sheet[\"!ref\"] = encoded;\n\t\t}\n\n\t\tif (!cell.c) cell.c = [];\n\t\tvar o = {a: comment.author, t: comment.t, r: comment.r};\n\t\tif(comment.h) o.h = comment.h;\n\t\tcell.c.push(o);\n\t});\n}\n\n/* 18.7.3 CT_Comment */\nfunction parse_comments_xml(data, opts) {\n\tif(data.match(/<(?:\\w+:)?comments *\\/>/)) return [];\n\tvar authors = [];\n\tvar commentList = [];\n\tdata.match(/<(?:\\w+:)?authors>([^\\u2603]*)<\\/(?:\\w+:)?authors>/)[1].split(/<\\/\\w*:?author>/).forEach(function(x) {\n\t\tif(x === \"\" || x.trim() === \"\") return;\n\t\tauthors.push(x.match(/<(?:\\w+:)?author[^>]*>(.*)/)[1]);\n\t});\n\t(data.match(/<(?:\\w+:)?commentList>([^\\u2603]*)<\\/(?:\\w+:)?commentList>/)||[\"\",\"\"])[1].split(/<\\/\\w*:?comment>/).forEach(function(x, index) {\n\t\tif(x === \"\" || x.trim() === \"\") return;\n\t\tvar y = parsexmltag(x.match(/<(?:\\w+:)?comment[^>]*>/)[0]);\n\t\tvar comment = { author: y.authorId && authors[y.authorId] ? authors[y.authorId] : undefined, ref: y.ref, guid: y.guid };\n\t\tvar cell = decode_cell(y.ref);\n\t\tif(opts.sheetRows && opts.sheetRows <= cell.r) return;\n\t\tvar textMatch = x.match(/<text>([^\\u2603]*)<\\/text>/);\n\t\tif (!textMatch || !textMatch[1]) return; // a comment may contain an empty text tag.\n\t\tvar rt = parse_si(textMatch[1]);\n\t\tcomment.r = rt.r;\n\t\tcomment.t = rt.t;\n\t\tif(opts.cellHTML) comment.h = rt.h;\n\t\tcommentList.push(comment);\n\t});\n\treturn commentList;\n}\n\nfunction write_comments_xml(data, opts) { }\n/* [MS-XLSB] 2.4.28 BrtBeginComment */\nfunction parse_BrtBeginComment(data, length) {\n\tvar out = {};\n\tout.iauthor = data.read_shift(4);\n\tvar rfx = parse_UncheckedRfX(data, 16);\n\tout.rfx = rfx.s;\n\tout.ref = encode_cell(rfx.s);\n\tdata.l += 16; /*var guid = parse_GUID(data); */\n\treturn out;\n}\n\n/* [MS-XLSB] 2.4.324 BrtCommentAuthor */\nvar parse_BrtCommentAuthor = parse_XLWideString;\n\n/* [MS-XLSB] 2.4.325 BrtCommentText */\nvar parse_BrtCommentText = parse_RichStr;\n\n/* [MS-XLSB] 2.1.7.8 Comments */\nfunction parse_comments_bin(data, opts) {\n\tvar out = [];\n\tvar authors = [];\n\tvar c = {};\n\tvar pass = false;\n\trecordhopper(data, function hopper_cmnt(val, R, RT) {\n\t\tswitch(R.n) {\n\t\t\tcase 'BrtCommentAuthor': authors.push(val); break;\n\t\t\tcase 'BrtBeginComment': c = val; break;\n\t\t\tcase 'BrtCommentText': c.t = val.t; c.h = val.h; c.r = val.r; break;\n\t\t\tcase 'BrtEndComment':\n\t\t\t\tc.author = authors[c.iauthor];\n\t\t\t\tdelete c.iauthor;\n\t\t\t\tif(opts.sheetRows && opts.sheetRows <= c.rfx.r) break;\n\t\t\t\tdelete c.rfx; out.push(c); break;\n\t\t\tcase 'BrtBeginComments': break;\n\t\t\tcase 'BrtEndComments': break;\n\t\t\tcase 'BrtBeginCommentAuthors': break;\n\t\t\tcase 'BrtEndCommentAuthors': break;\n\t\t\tcase 'BrtBeginCommentList': break;\n\t\t\tcase 'BrtEndCommentList': break;\n\t\t\tdefault: if(!pass || opts.WTF) throw new Error(\"Unexpected record \" + RT + \" \" + R.n);\n\t\t}\n\t});\n\treturn out;\n}\n\nfunction write_comments_bin(data, opts) { }\n/* TODO: it will be useful to parse the function str */\nvar rc_to_a1 = (function(){\n\tvar rcregex = /(^|[^A-Za-z])R(\\[?)(-?\\d+|)\\]?C(\\[?)(-?\\d+|)\\]?/g;\n\tvar rcbase;\n\tfunction rcfunc($$,$1,$2,$3,$4,$5) {\n\t\tvar R = $3.length>0?parseInt($3,10)|0:0, C = $5.length>0?parseInt($5,10)|0:0;\n\t\tif(C<0 && $4.length === 0) C=0;\n\t\tif($4.length > 0) C += rcbase.c;\n\t\tif($2.length > 0) R += rcbase.r;\n\t\treturn $1 + encode_col(C) + encode_row(R);\n\t}\n\treturn function rc_to_a1(fstr, base) {\n\t\trcbase = base;\n\t\treturn fstr.replace(rcregex, rcfunc);\n\t};\n})();\n\n/* --- formula references point to MS-XLS --- */\n/* Small helpers */\nfunction parseread(l) { return function(blob, length) { blob.l+=l; return; }; }\nfunction parseread1(blob, length) { blob.l+=1; return; }\n\n/* Rgce Helpers */\n\n/* 2.5.51 */\nfunction parse_ColRelU(blob, length) {\n\tvar c = blob.read_shift(2);\n\treturn [c & 0x3FFF, (c >> 14) & 1, (c >> 15) & 1];\n}\n\n/* 2.5.198.105 */\nfunction parse_RgceArea(blob, length) {\n\tvar r=blob.read_shift(2), R=blob.read_shift(2);\n\tvar c=parse_ColRelU(blob, 2);\n\tvar C=parse_ColRelU(blob, 2);\n\treturn { s:{r:r, c:c[0], cRel:c[1], rRel:c[2]}, e:{r:R, c:C[0], cRel:C[1], rRel:C[2]} };\n}\n\n/* 2.5.198.105 TODO */\nfunction parse_RgceAreaRel(blob, length) {\n\tvar r=blob.read_shift(2), R=blob.read_shift(2);\n\tvar c=parse_ColRelU(blob, 2);\n\tvar C=parse_ColRelU(blob, 2);\n\treturn { s:{r:r, c:c[0], cRel:c[1], rRel:c[2]}, e:{r:R, c:C[0], cRel:C[1], rRel:C[2]} };\n}\n\n/* 2.5.198.109 */\nfunction parse_RgceLoc(blob, length) {\n\tvar r = blob.read_shift(2);\n\tvar c = parse_ColRelU(blob, 2);\n\treturn {r:r, c:c[0], cRel:c[1], rRel:c[2]};\n}\n\n/* 2.5.198.111 */\nfunction parse_RgceLocRel(blob, length) {\n\tvar r = blob.read_shift(2);\n\tvar cl = blob.read_shift(2);\n\tvar cRel = (cl & 0x8000) >> 15, rRel = (cl & 0x4000) >> 14;\n\tcl &= 0x3FFF;\n\tif(cRel !== 0) while(cl >= 0x100) cl -= 0x100;\n\treturn {r:r,c:cl,cRel:cRel,rRel:rRel};\n}\n\n/* Ptg Tokens */\n\n/* 2.5.198.27 */\nfunction parse_PtgArea(blob, length) {\n\tvar type = (blob[blob.l++] & 0x60) >> 5;\n\tvar area = parse_RgceArea(blob, 8);\n\treturn [type, area];\n}\n\n/* 2.5.198.28 */\nfunction parse_PtgArea3d(blob, length) {\n\tvar type = (blob[blob.l++] & 0x60) >> 5;\n\tvar ixti = blob.read_shift(2);\n\tvar area = parse_RgceArea(blob, 8);\n\treturn [type, ixti, area];\n}\n\n/* 2.5.198.29 */\nfunction parse_PtgAreaErr(blob, length) {\n\tvar type = (blob[blob.l++] & 0x60) >> 5;\n\tblob.l += 8;\n\treturn [type];\n}\n/* 2.5.198.30 */\nfunction parse_PtgAreaErr3d(blob, length) {\n\tvar type = (blob[blob.l++] & 0x60) >> 5;\n\tvar ixti = blob.read_shift(2);\n\tblob.l += 8;\n\treturn [type, ixti];\n}\n\n/* 2.5.198.31 */\nfunction parse_PtgAreaN(blob, length) {\n\tvar type = (blob[blob.l++] & 0x60) >> 5;\n\tvar area = parse_RgceAreaRel(blob, 8);\n\treturn [type, area];\n}\n\n/* 2.5.198.32 -- ignore this and look in PtgExtraArray for shape + values */\nfunction parse_PtgArray(blob, length) {\n\tvar type = (blob[blob.l++] & 0x60) >> 5;\n\tblob.l += 7;\n\treturn [type];\n}\n\n/* 2.5.198.33 */\nfunction parse_PtgAttrBaxcel(blob, length) {\n\tvar bitSemi = blob[blob.l+1] & 0x01; /* 1 = volatile */\n\tvar bitBaxcel = 1;\n\tblob.l += 4;\n\treturn [bitSemi, bitBaxcel];\n}\n\n/* 2.5.198.34 */\nfunction parse_PtgAttrChoose(blob, length) {\n\tblob.l +=2;\n\tvar offset = blob.read_shift(2);\n\tvar o = [];\n\t/* offset is 1 less than the number of elements */\n\tfor(var i = 0; i <= offset; ++i) o.push(blob.read_shift(2));\n\treturn o;\n}\n\n/* 2.5.198.35 */\nfunction parse_PtgAttrGoto(blob, length) {\n\tvar bitGoto = (blob[blob.l+1] & 0xFF) ? 1 : 0;\n\tblob.l += 2;\n\treturn [bitGoto, blob.read_shift(2)];\n}\n\n/* 2.5.198.36 */\nfunction parse_PtgAttrIf(blob, length) {\n\tvar bitIf = (blob[blob.l+1] & 0xFF) ? 1 : 0;\n\tblob.l += 2;\n\treturn [bitIf, blob.read_shift(2)];\n}\n\n/* 2.5.198.37 */\nfunction parse_PtgAttrSemi(blob, length) {\n\tvar bitSemi = (blob[blob.l+1] & 0xFF) ? 1 : 0;\n\tblob.l += 4;\n\treturn [bitSemi];\n}\n\n/* 2.5.198.40 (used by PtgAttrSpace and PtgAttrSpaceSemi) */\nfunction parse_PtgAttrSpaceType(blob, length) {\n\tvar type = blob.read_shift(1), cch = blob.read_shift(1);\n\treturn [type, cch];\n}\n\n/* 2.5.198.38 */\nfunction parse_PtgAttrSpace(blob, length) {\n\tblob.read_shift(2);\n\treturn parse_PtgAttrSpaceType(blob, 2);\n}\n\n/* 2.5.198.39 */\nfunction parse_PtgAttrSpaceSemi(blob, length) {\n\tblob.read_shift(2);\n\treturn parse_PtgAttrSpaceType(blob, 2);\n}\n\n/* 2.5.198.84 TODO */\nfunction parse_PtgRef(blob, length) {\n\tvar ptg = blob[blob.l] & 0x1F;\n\tvar type = (blob[blob.l] & 0x60)>>5;\n\tblob.l += 1;\n\tvar loc = parse_RgceLoc(blob,4);\n\treturn [type, loc];\n}\n\n/* 2.5.198.88 TODO */\nfunction parse_PtgRefN(blob, length) {\n\tvar ptg = blob[blob.l] & 0x1F;\n\tvar type = (blob[blob.l] & 0x60)>>5;\n\tblob.l += 1;\n\tvar loc = parse_RgceLocRel(blob,4);\n\treturn [type, loc];\n}\n\n/* 2.5.198.85 TODO */\nfunction parse_PtgRef3d(blob, length) {\n\tvar ptg = blob[blob.l] & 0x1F;\n\tvar type = (blob[blob.l] & 0x60)>>5;\n\tblob.l += 1;\n\tvar ixti = blob.read_shift(2); // XtiIndex\n\tvar loc = parse_RgceLoc(blob,4);\n\treturn [type, ixti, loc];\n}\n\n\n/* 2.5.198.62 TODO */\nfunction parse_PtgFunc(blob, length) {\n\tvar ptg = blob[blob.l] & 0x1F;\n\tvar type = (blob[blob.l] & 0x60)>>5;\n\tblob.l += 1;\n\tvar iftab = blob.read_shift(2);\n\treturn [FtabArgc[iftab], Ftab[iftab]];\n}\n/* 2.5.198.63 TODO */\nfunction parse_PtgFuncVar(blob, length) {\n\tblob.l++;\n\tvar cparams = blob.read_shift(1), tab = parsetab(blob);\n\treturn [cparams, (tab[0] === 0 ? Ftab : Cetab)[tab[1]]];\n}\n\nfunction parsetab(blob, length) {\n\treturn [blob[blob.l+1]>>7, blob.read_shift(2) & 0x7FFF];\n}\n\n/* 2.5.198.41 */\nvar parse_PtgAttrSum = parseread(4);\n/* 2.5.198.43 */\nvar parse_PtgConcat = parseread1;\n\n/* 2.5.198.58 */\nfunction parse_PtgExp(blob, length) {\n\tblob.l++;\n\tvar row = blob.read_shift(2);\n\tvar col = blob.read_shift(2);\n\treturn [row, col];\n}\n\n/* 2.5.198.57 */\nfunction parse_PtgErr(blob, length) { blob.l++; return BErr[blob.read_shift(1)]; }\n\n/* 2.5.198.66 TODO */\nfunction parse_PtgInt(blob, length) { blob.l++; return blob.read_shift(2); }\n\n/* 2.5.198.42 */\nfunction parse_PtgBool(blob, length) { blob.l++; return blob.read_shift(1)!==0;}\n\n/* 2.5.198.79 */\nfunction parse_PtgNum(blob, length) { blob.l++; return parse_Xnum(blob, 8); }\n\n/* 2.5.198.89 */\nfunction parse_PtgStr(blob, length) { blob.l++; return parse_ShortXLUnicodeString(blob); }\n\n/* 2.5.192.112 + 2.5.192.11{3,4,5,6,7} */\nfunction parse_SerAr(blob) {\n\tvar val = [];\n\tswitch((val[0] = blob.read_shift(1))) {\n\t\t/* 2.5.192.113 */\n\t\tcase 0x04: /* SerBool -- boolean */\n\t\t\tval[1] = parsebool(blob, 1) ? 'TRUE' : 'FALSE';\n\t\t\tblob.l += 7; break;\n\t\t/* 2.5.192.114 */\n\t\tcase 0x10: /* SerErr -- error */\n\t\t\tval[1] = BErr[blob[blob.l]];\n\t\t\tblob.l += 8; break;\n\t\t/* 2.5.192.115 */\n\t\tcase 0x00: /* SerNil -- honestly, I'm not sure how to reproduce this */\n\t\t\tblob.l += 8; break;\n\t\t/* 2.5.192.116 */\n\t\tcase 0x01: /* SerNum -- Xnum */\n\t\t\tval[1] = parse_Xnum(blob, 8); break;\n\t\t/* 2.5.192.117 */\n\t\tcase 0x02: /* SerStr -- XLUnicodeString (<256 chars) */\n\t\t\tval[1] = parse_XLUnicodeString(blob); break;\n\t\t// default: throw \"Bad SerAr: \" + val[0]; /* Unreachable */\n\t}\n\treturn val;\n}\n\n/* 2.5.198.61 */\nfunction parse_PtgExtraMem(blob, cce) {\n\tvar count = blob.read_shift(2);\n\tvar out = [];\n\tfor(var i = 0; i != count; ++i) out.push(parse_Ref8U(blob, 8));\n\treturn out;\n}\n\n/* 2.5.198.59 */\nfunction parse_PtgExtraArray(blob) {\n\tvar cols = 1 + blob.read_shift(1); //DColByteU\n\tvar rows = 1 + blob.read_shift(2); //DRw\n\tfor(var i = 0, o=[]; i != rows && (o[i] = []); ++i)\n\t\tfor(var j = 0; j != cols; ++j) o[i][j] = parse_SerAr(blob);\n\treturn o;\n}\n\n/* 2.5.198.76 */\nfunction parse_PtgName(blob, length) {\n\tvar type = (blob.read_shift(1) >>> 5) & 0x03;\n\tvar nameindex = blob.read_shift(4);\n\treturn [type, 0, nameindex];\n}\n\n/* 2.5.198.77 */\nfunction parse_PtgNameX(blob, length) {\n\tvar type = (blob.read_shift(1) >>> 5) & 0x03;\n\tvar ixti = blob.read_shift(2); // XtiIndex\n\tvar nameindex = blob.read_shift(4);\n\treturn [type, ixti, nameindex];\n}\n\n/* 2.5.198.70 */\nfunction parse_PtgMemArea(blob, length) {\n\tvar type = (blob.read_shift(1) >>> 5) & 0x03;\n\tblob.l += 4;\n\tvar cce = blob.read_shift(2);\n\treturn [type, cce];\n}\n\n/* 2.5.198.72 */\nfunction parse_PtgMemFunc(blob, length) {\n\tvar type = (blob.read_shift(1) >>> 5) & 0x03;\n\tvar cce = blob.read_shift(2);\n\treturn [type, cce];\n}\n\n\n/* 2.5.198.86 */\nfunction parse_PtgRefErr(blob, length) {\n\tvar type = (blob.read_shift(1) >>> 5) & 0x03;\n\tblob.l += 4;\n\treturn [type];\n}\n\n/* 2.5.198.26 */\nvar parse_PtgAdd = parseread1;\n/* 2.5.198.45 */\nvar parse_PtgDiv = parseread1;\n/* 2.5.198.56 */\nvar parse_PtgEq = parseread1;\n/* 2.5.198.64 */\nvar parse_PtgGe = parseread1;\n/* 2.5.198.65 */\nvar parse_PtgGt = parseread1;\n/* 2.5.198.67 */\nvar parse_PtgIsect = parseread1;\n/* 2.5.198.68 */\nvar parse_PtgLe = parseread1;\n/* 2.5.198.69 */\nvar parse_PtgLt = parseread1;\n/* 2.5.198.74 */\nvar parse_PtgMissArg = parseread1;\n/* 2.5.198.75 */\nvar parse_PtgMul = parseread1;\n/* 2.5.198.78 */\nvar parse_PtgNe = parseread1;\n/* 2.5.198.80 */\nvar parse_PtgParen = parseread1;\n/* 2.5.198.81 */\nvar parse_PtgPercent = parseread1;\n/* 2.5.198.82 */\nvar parse_PtgPower = parseread1;\n/* 2.5.198.83 */\nvar parse_PtgRange = parseread1;\n/* 2.5.198.90 */\nvar parse_PtgSub = parseread1;\n/* 2.5.198.93 */\nvar parse_PtgUminus = parseread1;\n/* 2.5.198.94 */\nvar parse_PtgUnion = parseread1;\n/* 2.5.198.95 */\nvar parse_PtgUplus = parseread1;\n\n/* 2.5.198.71 */\nvar parse_PtgMemErr = parsenoop;\n/* 2.5.198.73 */\nvar parse_PtgMemNoMem = parsenoop;\n/* 2.5.198.87 */\nvar parse_PtgRefErr3d = parsenoop;\n/* 2.5.198.92 */\nvar parse_PtgTbl = parsenoop;\n\n/* 2.5.198.25 */\nvar PtgTypes = {\n\t0x01: { n:'PtgExp', f:parse_PtgExp },\n\t0x02: { n:'PtgTbl', f:parse_PtgTbl },\n\t0x03: { n:'PtgAdd', f:parse_PtgAdd },\n\t0x04: { n:'PtgSub', f:parse_PtgSub },\n\t0x05: { n:'PtgMul', f:parse_PtgMul },\n\t0x06: { n:'PtgDiv', f:parse_PtgDiv },\n\t0x07: { n:'PtgPower', f:parse_PtgPower },\n\t0x08: { n:'PtgConcat', f:parse_PtgConcat },\n\t0x09: { n:'PtgLt', f:parse_PtgLt },\n\t0x0A: { n:'PtgLe', f:parse_PtgLe },\n\t0x0B: { n:'PtgEq', f:parse_PtgEq },\n\t0x0C: { n:'PtgGe', f:parse_PtgGe },\n\t0x0D: { n:'PtgGt', f:parse_PtgGt },\n\t0x0E: { n:'PtgNe', f:parse_PtgNe },\n\t0x0F: { n:'PtgIsect', f:parse_PtgIsect },\n\t0x10: { n:'PtgUnion', f:parse_PtgUnion },\n\t0x11: { n:'PtgRange', f:parse_PtgRange },\n\t0x12: { n:'PtgUplus', f:parse_PtgUplus },\n\t0x13: { n:'PtgUminus', f:parse_PtgUminus },\n\t0x14: { n:'PtgPercent', f:parse_PtgPercent },\n\t0x15: { n:'PtgParen', f:parse_PtgParen },\n\t0x16: { n:'PtgMissArg', f:parse_PtgMissArg },\n\t0x17: { n:'PtgStr', f:parse_PtgStr },\n\t0x1C: { n:'PtgErr', f:parse_PtgErr },\n\t0x1D: { n:'PtgBool', f:parse_PtgBool },\n\t0x1E: { n:'PtgInt', f:parse_PtgInt },\n\t0x1F: { n:'PtgNum', f:parse_PtgNum },\n\t0x20: { n:'PtgArray', f:parse_PtgArray },\n\t0x21: { n:'PtgFunc', f:parse_PtgFunc },\n\t0x22: { n:'PtgFuncVar', f:parse_PtgFuncVar },\n\t0x23: { n:'PtgName', f:parse_PtgName },\n\t0x24: { n:'PtgRef', f:parse_PtgRef },\n\t0x25: { n:'PtgArea', f:parse_PtgArea },\n\t0x26: { n:'PtgMemArea', f:parse_PtgMemArea },\n\t0x27: { n:'PtgMemErr', f:parse_PtgMemErr },\n\t0x28: { n:'PtgMemNoMem', f:parse_PtgMemNoMem },\n\t0x29: { n:'PtgMemFunc', f:parse_PtgMemFunc },\n\t0x2A: { n:'PtgRefErr', f:parse_PtgRefErr },\n\t0x2B: { n:'PtgAreaErr', f:parse_PtgAreaErr },\n\t0x2C: { n:'PtgRefN', f:parse_PtgRefN },\n\t0x2D: { n:'PtgAreaN', f:parse_PtgAreaN },\n\t0x39: { n:'PtgNameX', f:parse_PtgNameX },\n\t0x3A: { n:'PtgRef3d', f:parse_PtgRef3d },\n\t0x3B: { n:'PtgArea3d', f:parse_PtgArea3d },\n\t0x3C: { n:'PtgRefErr3d', f:parse_PtgRefErr3d },\n\t0x3D: { n:'PtgAreaErr3d', f:parse_PtgAreaErr3d },\n\t0xFF: {}\n};\n/* These are duplicated in the PtgTypes table */\nvar PtgDupes = {\n\t0x40: 0x20, 0x60: 0x20,\n\t0x41: 0x21, 0x61: 0x21,\n\t0x42: 0x22, 0x62: 0x22,\n\t0x43: 0x23, 0x63: 0x23,\n\t0x44: 0x24, 0x64: 0x24,\n\t0x45: 0x25, 0x65: 0x25,\n\t0x46: 0x26, 0x66: 0x26,\n\t0x47: 0x27, 0x67: 0x27,\n\t0x48: 0x28, 0x68: 0x28,\n\t0x49: 0x29, 0x69: 0x29,\n\t0x4A: 0x2A, 0x6A: 0x2A,\n\t0x4B: 0x2B, 0x6B: 0x2B,\n\t0x4C: 0x2C, 0x6C: 0x2C,\n\t0x4D: 0x2D, 0x6D: 0x2D,\n\t0x59: 0x39, 0x79: 0x39,\n\t0x5A: 0x3A, 0x7A: 0x3A,\n\t0x5B: 0x3B, 0x7B: 0x3B,\n\t0x5C: 0x3C, 0x7C: 0x3C,\n\t0x5D: 0x3D, 0x7D: 0x3D\n};\n(function(){for(var y in PtgDupes) PtgTypes[y] = PtgTypes[PtgDupes[y]];})();\n\nvar Ptg18 = {};\nvar Ptg19 = {\n\t0x01: { n:'PtgAttrSemi', f:parse_PtgAttrSemi },\n\t0x02: { n:'PtgAttrIf', f:parse_PtgAttrIf },\n\t0x04: { n:'PtgAttrChoose', f:parse_PtgAttrChoose },\n\t0x08: { n:'PtgAttrGoto', f:parse_PtgAttrGoto },\n\t0x10: { n:'PtgAttrSum', f:parse_PtgAttrSum },\n\t0x20: { n:'PtgAttrBaxcel', f:parse_PtgAttrBaxcel },\n\t0x40: { n:'PtgAttrSpace', f:parse_PtgAttrSpace },\n\t0x41: { n:'PtgAttrSpaceSemi', f:parse_PtgAttrSpaceSemi },\n\t0xFF: {}\n};\n\n/* 2.4.127 TODO */\nfunction parse_Formula(blob, length, opts) {\n\tvar cell = parse_XLSCell(blob, 6);\n\tvar val = parse_FormulaValue(blob,8);\n\tvar flags = blob.read_shift(1);\n\tblob.read_shift(1);\n\tvar chn = blob.read_shift(4);\n\tvar cbf = \"\";\n\tif(opts.biff === 5) blob.l += length-20;\n\telse cbf = parse_XLSCellParsedFormula(blob, length-20, opts);\n\treturn {cell:cell, val:val[0], formula:cbf, shared: (flags >> 3) & 1, tt:val[1]};\n}\n\n/* 2.5.133 TODO: how to emit empty strings? */\nfunction parse_FormulaValue(blob) {\n\tvar b;\n\tif(__readUInt16LE(blob,blob.l + 6) !== 0xFFFF) return [parse_Xnum(blob),'n'];\n\tswitch(blob[blob.l]) {\n\t\tcase 0x00: blob.l += 8; return [\"String\", 's'];\n\t\tcase 0x01: b = blob[blob.l+2] === 0x1; blob.l += 8; return [b,'b'];\n\t\tcase 0x02: b = blob[blob.l+2]; blob.l += 8; return [b,'e'];\n\t\tcase 0x03: blob.l += 8; return [\"\",'s'];\n\t}\n}\n\n/* 2.5.198.103 */\nfunction parse_RgbExtra(blob, length, rgce, opts) {\n\tif(opts.biff < 8) return parsenoop(blob, length);\n\tvar target = blob.l + length;\n\tvar o = [];\n\tfor(var i = 0; i !== rgce.length; ++i) {\n\t\tswitch(rgce[i][0]) {\n\t\t\tcase 'PtgArray': /* PtgArray -> PtgExtraArray */\n\t\t\t\trgce[i][1] = parse_PtgExtraArray(blob);\n\t\t\t\to.push(rgce[i][1]);\n\t\t\t\tbreak;\n\t\t\tcase 'PtgMemArea': /* PtgMemArea -> PtgExtraMem */\n\t\t\t\trgce[i][2] = parse_PtgExtraMem(blob, rgce[i][1]);\n\t\t\t\to.push(rgce[i][2]);\n\t\t\t\tbreak;\n\t\t\tdefault: break;\n\t\t}\n\t}\n\tlength = target - blob.l;\n\tif(length !== 0) o.push(parsenoop(blob, length));\n\treturn o;\n}\n\n/* 2.5.198.21 */\nfunction parse_NameParsedFormula(blob, length, opts, cce) {\n\tvar target = blob.l + length;\n\tvar rgce = parse_Rgce(blob, cce);\n\tvar rgcb;\n\tif(target !== blob.l) rgcb = parse_RgbExtra(blob, target - blob.l, rgce, opts);\n\treturn [rgce, rgcb];\n}\n\n/* 2.5.198.3 TODO */\nfunction parse_XLSCellParsedFormula(blob, length, opts) {\n\tvar target = blob.l + length;\n\tvar rgcb, cce = blob.read_shift(2); // length of rgce\n\tif(cce == 0xFFFF) return [[],parsenoop(blob, length-2)];\n\tvar rgce = parse_Rgce(blob, cce);\n\tif(length !== cce + 2) rgcb = parse_RgbExtra(blob, length - cce - 2, rgce, opts);\n\treturn [rgce, rgcb];\n}\n\n/* 2.5.198.118 TODO */\nfunction parse_SharedParsedFormula(blob, length, opts) {\n\tvar target = blob.l + length;\n\tvar rgcb, cce = blob.read_shift(2); // length of rgce\n\tvar rgce = parse_Rgce(blob, cce);\n\tif(cce == 0xFFFF) return [[],parsenoop(blob, length-2)];\n\tif(length !== cce + 2) rgcb = parse_RgbExtra(blob, target - cce - 2, rgce, opts);\n\treturn [rgce, rgcb];\n}\n\n/* 2.5.198.1 TODO */\nfunction parse_ArrayParsedFormula(blob, length, opts, ref) {\n\tvar target = blob.l + length;\n\tvar rgcb, cce = blob.read_shift(2); // length of rgce\n\tif(cce == 0xFFFF) return [[],parsenoop(blob, length-2)];\n\tvar rgce = parse_Rgce(blob, cce);\n\tif(length !== cce + 2) rgcb = parse_RgbExtra(blob, target - cce - 2, rgce, opts);\n\treturn [rgce, rgcb];\n}\n\n/* 2.5.198.104 */\nfunction parse_Rgce(blob, length) {\n\tvar target = blob.l + length;\n\tvar R, id, ptgs = [];\n\twhile(target != blob.l) {\n\t\tlength = target - blob.l;\n\t\tid = blob[blob.l];\n\t\tR = PtgTypes[id];\n\t\t//console.log(\"ptg\", id, R)\n\t\tif(id === 0x18 || id === 0x19) {\n\t\t\tid = blob[blob.l + 1];\n\t\t\tR = (id === 0x18 ? Ptg18 : Ptg19)[id];\n\t\t}\n\t\tif(!R || !R.f) { ptgs.push(parsenoop(blob, length)); }\n\t\telse { ptgs.push([R.n, R.f(blob, length)]); }\n\t}\n\treturn ptgs;\n}\n\nfunction mapper(x) { return x.map(function f2(y) { return y[1];}).join(\",\");}\n\n/* 2.2.2 + Magic TODO */\nfunction stringify_formula(formula, range, cell, supbooks, opts) {\n\tif(opts !== undefined && opts.biff === 5) return \"BIFF5??\";\n\tvar _range = range !== undefined ? range : {s:{c:0, r:0}};\n\tvar stack = [], e1, e2, type, c, ixti, nameidx, r;\n\tif(!formula[0] || !formula[0][0]) return \"\";\n\t//console.log(\"--\",cell,formula[0])\n\tfor(var ff = 0, fflen = formula[0].length; ff < fflen; ++ff) {\n\t\tvar f = formula[0][ff];\n\t\t//console.log(\"++\",f, stack)\n\t\tswitch(f[0]) {\n\t\t/* 2.2.2.1 Unary Operator Tokens */\n\t\t\t/* 2.5.198.93 */\n\t\t\tcase 'PtgUminus': stack.push(\"-\" + stack.pop()); break;\n\t\t\t/* 2.5.198.95 */\n\t\t\tcase 'PtgUplus': stack.push(\"+\" + stack.pop()); break;\n\t\t\t/* 2.5.198.81 */\n\t\t\tcase 'PtgPercent': stack.push(stack.pop() + \"%\"); break;\n\n\t\t/* 2.2.2.1 Binary Value Operator Token */\n\t\t\t/* 2.5.198.26 */\n\t\t\tcase 'PtgAdd':\n\t\t\t\te1 = stack.pop(); e2 = stack.pop();\n\t\t\t\tstack.push(e2+\"+\"+e1);\n\t\t\t\tbreak;\n\t\t\t/* 2.5.198.90 */\n\t\t\tcase 'PtgSub':\n\t\t\t\te1 = stack.pop(); e2 = stack.pop();\n\t\t\t\tstack.push(e2+\"-\"+e1);\n\t\t\t\tbreak;\n\t\t\t/* 2.5.198.75 */\n\t\t\tcase 'PtgMul':\n\t\t\t\te1 = stack.pop(); e2 = stack.pop();\n\t\t\t\tstack.push(e2+\"*\"+e1);\n\t\t\t\tbreak;\n\t\t\t/* 2.5.198.45 */\n\t\t\tcase 'PtgDiv':\n\t\t\t\te1 = stack.pop(); e2 = stack.pop();\n\t\t\t\tstack.push(e2+\"/\"+e1);\n\t\t\t\tbreak;\n\t\t\t/* 2.5.198.82 */\n\t\t\tcase 'PtgPower':\n\t\t\t\te1 = stack.pop(); e2 = stack.pop();\n\t\t\t\tstack.push(e2+\"^\"+e1);\n\t\t\t\tbreak;\n\t\t\t/* 2.5.198.43 */\n\t\t\tcase 'PtgConcat':\n\t\t\t\te1 = stack.pop(); e2 = stack.pop();\n\t\t\t\tstack.push(e2+\"&\"+e1);\n\t\t\t\tbreak;\n\t\t\t/* 2.5.198.69 */\n\t\t\tcase 'PtgLt':\n\t\t\t\te1 = stack.pop(); e2 = stack.pop();\n\t\t\t\tstack.push(e2+\"<\"+e1);\n\t\t\t\tbreak;\n\t\t\t/* 2.5.198.68 */\n\t\t\tcase 'PtgLe':\n\t\t\t\te1 = stack.pop(); e2 = stack.pop();\n\t\t\t\tstack.push(e2+\"<=\"+e1);\n\t\t\t\tbreak;\n\t\t\t/* 2.5.198.56 */\n\t\t\tcase 'PtgEq':\n\t\t\t\te1 = stack.pop(); e2 = stack.pop();\n\t\t\t\tstack.push(e2+\"=\"+e1);\n\t\t\t\tbreak;\n\t\t\t/* 2.5.198.64 */\n\t\t\tcase 'PtgGe':\n\t\t\t\te1 = stack.pop(); e2 = stack.pop();\n\t\t\t\tstack.push(e2+\">=\"+e1);\n\t\t\t\tbreak;\n\t\t\t/* 2.5.198.65 */\n\t\t\tcase 'PtgGt':\n\t\t\t\te1 = stack.pop(); e2 = stack.pop();\n\t\t\t\tstack.push(e2+\">\"+e1);\n\t\t\t\tbreak;\n\t\t\t/* 2.5.198.78 */\n\t\t\tcase 'PtgNe':\n\t\t\t\te1 = stack.pop(); e2 = stack.pop();\n\t\t\t\tstack.push(e2+\"<>\"+e1);\n\t\t\t\tbreak;\n\n\t\t/* 2.2.2.1 Binary Reference Operator Token */\n\t\t\t/* 2.5.198.67 */\n\t\t\tcase 'PtgIsect':\n\t\t\t\te1 = stack.pop(); e2 = stack.pop();\n\t\t\t\tstack.push(e2+\" \"+e1);\n\t\t\t\tbreak;\n\t\t\tcase 'PtgUnion':\n\t\t\t\te1 = stack.pop(); e2 = stack.pop();\n\t\t\t\tstack.push(e2+\",\"+e1);\n\t\t\t\tbreak;\n\t\t\tcase 'PtgRange': break;\n\n\t\t/* 2.2.2.3 Control Tokens \"can be ignored\" */\n\t\t\t/* 2.5.198.34 */\n\t\t\tcase 'PtgAttrChoose': break;\n\t\t\t/* 2.5.198.35 */\n\t\t\tcase 'PtgAttrGoto': break;\n\t\t\t/* 2.5.198.36 */\n\t\t\tcase 'PtgAttrIf': break;\n\n\n\t\t\t/* 2.5.198.84 */\n\t\t\tcase 'PtgRef':\n\t\t\t\ttype = f[1][0]; c = shift_cell_xls(decode_cell(encode_cell(f[1][1])), _range);\n\t\t\t\tstack.push(encode_cell(c));\n\t\t\t\tbreak;\n\t\t\t/* 2.5.198.88 */\n\t\t\tcase 'PtgRefN':\n\t\t\t\ttype = f[1][0]; c = shift_cell_xls(decode_cell(encode_cell(f[1][1])), cell);\n\t\t\t\tstack.push(encode_cell(c));\n\t\t\t\tbreak;\n\t\t\tcase 'PtgRef3d': // TODO: lots of stuff\n\t\t\t\ttype = f[1][0]; ixti = f[1][1]; c = shift_cell_xls(f[1][2], _range);\n\t\t\t\tstack.push(supbooks[1][ixti+1]+\"!\"+encode_cell(c));\n\t\t\t\tbreak;\n\n\t\t/* Function Call */\n\t\t\t/* 2.5.198.62 */\n\t\t\tcase 'PtgFunc':\n\t\t\t/* 2.5.198.63 */\n\t\t\tcase 'PtgFuncVar':\n\t\t\t\t/* f[1] = [argc, func] */\n\t\t\t\tvar argc = f[1][0], func = f[1][1];\n\t\t\t\tif(!argc) argc = 0;\n\t\t\t\tvar args = stack.slice(-argc);\n\t\t\t\tstack.length -= argc;\n\t\t\t\tif(func === 'User') func = args.shift();\n\t\t\t\tstack.push(func + \"(\" + args.join(\",\") + \")\");\n\t\t\t\tbreak;\n\n\t\t\t/* 2.5.198.42 */\n\t\t\tcase 'PtgBool': stack.push(f[1] ? \"TRUE\" : \"FALSE\"); break;\n\t\t\t/* 2.5.198.66 */\n\t\t\tcase 'PtgInt': stack.push(f[1]); break;\n\t\t\t/* 2.5.198.79 TODO: precision? */\n\t\t\tcase 'PtgNum': stack.push(String(f[1])); break;\n\t\t\t/* 2.5.198.89 */\n\t\t\tcase 'PtgStr': stack.push('\"' + f[1] + '\"'); break;\n\t\t\t/* 2.5.198.57 */\n\t\t\tcase 'PtgErr': stack.push(f[1]); break;\n\t\t\t/* 2.5.198.27 TODO: fixed points */\n\t\t\tcase 'PtgArea':\n\t\t\t\ttype = f[1][0]; r = shift_range_xls(f[1][1], _range);\n\t\t\t\tstack.push(encode_range(r));\n\t\t\t\tbreak;\n\t\t\t/* 2.5.198.28 */\n\t\t\tcase 'PtgArea3d': // TODO: lots of stuff\n\t\t\t\ttype = f[1][0]; ixti = f[1][1]; r = f[1][2];\n\t\t\t\tstack.push(supbooks[1][ixti+1]+\"!\"+encode_range(r));\n\t\t\t\tbreak;\n\t\t\t/* 2.5.198.41 */\n\t\t\tcase 'PtgAttrSum':\n\t\t\t\tstack.push(\"SUM(\" + stack.pop() + \")\");\n\t\t\t\tbreak;\n\n\t\t/* Expression Prefixes */\n\t\t\t/* 2.5.198.37 */\n\t\t\tcase 'PtgAttrSemi': break;\n\n\t\t\t/* 2.5.97.60 TODO: do something different for revisions */\n\t\t\tcase 'PtgName':\n\t\t\t\t/* f[1] = type, 0, nameindex */\n\t\t\t\tnameidx = f[1][2];\n\t\t\t\tvar lbl = supbooks[0][nameidx];\n\t\t\t\tvar name = lbl.Name;\n\t\t\t\tif(name in XLSXFutureFunctions) name = XLSXFutureFunctions[name];\n\t\t\t\tstack.push(name);\n\t\t\t\tbreak;\n\n\t\t\t/* 2.5.97.61 TODO: do something different for revisions */\n\t\t\tcase 'PtgNameX':\n\t\t\t\t/* f[1] = type, ixti, nameindex */\n\t\t\t\tvar bookidx = f[1][1]; nameidx = f[1][2]; var externbook;\n\t\t\t\t/* TODO: Properly handle missing values */\n\t\t\t\tif(supbooks[bookidx+1]) externbook = supbooks[bookidx+1][nameidx];\n\t\t\t\telse if(supbooks[bookidx-1]) externbook = supbooks[bookidx-1][nameidx];\n\t\t\t\tif(!externbook) externbook = {body: \"??NAMEX??\"};\n\t\t\t\tstack.push(externbook.body);\n\t\t\t\tbreak;\n\n\t\t/* 2.2.2.4 Display Tokens */\n\t\t\t/* 2.5.198.80 */\n\t\t\tcase 'PtgParen': stack.push('(' + stack.pop() + ')'); break;\n\n\t\t\t/* 2.5.198.86 */\n\t\t\tcase 'PtgRefErr': stack.push('#REF!'); break;\n\n\t\t/* */\n\t\t\t/* 2.5.198.58 TODO */\n\t\t\tcase 'PtgExp':\n\t\t\t\tc = {c:f[1][1],r:f[1][0]};\n\t\t\t\tvar q = {c: cell.c, r:cell.r};\n\t\t\t\tif(supbooks.sharedf[encode_cell(c)]) {\n\t\t\t\t\tvar parsedf = (supbooks.sharedf[encode_cell(c)]);\n\t\t\t\t\tstack.push(stringify_formula(parsedf, _range, q, supbooks, opts));\n\t\t\t\t}\n\t\t\t\telse {\n\t\t\t\t\tvar fnd = false;\n\t\t\t\t\tfor(e1=0;e1!=supbooks.arrayf.length; ++e1) {\n\t\t\t\t\t\t/* TODO: should be something like range_has */\n\t\t\t\t\t\te2 = supbooks.arrayf[e1];\n\t\t\t\t\t\tif(c.c < e2[0].s.c || c.c > e2[0].e.c) continue;\n\t\t\t\t\t\tif(c.r < e2[0].s.r || c.r > e2[0].e.r) continue;\n\t\t\t\t\t\tstack.push(stringify_formula(e2[1], _range, q, supbooks, opts));\n\t\t\t\t\t}\n\t\t\t\t\tif(!fnd) stack.push(f[1]);\n\t\t\t\t}\n\t\t\t\tbreak;\n\n\t\t\t/* 2.5.198.32 TODO */\n\t\t\tcase 'PtgArray':\n\t\t\t\tstack.push(\"{\" + f[1].map(mapper).join(\";\") + \"}\");\n\t\t\t\tbreak;\n\n\t\t/* 2.2.2.5 Mem Tokens */\n\t\t\t/* 2.5.198.70 TODO: confirm this is a non-display */\n\t\t\tcase 'PtgMemArea':\n\t\t\t\t//stack.push(\"(\" + f[2].map(encode_range).join(\",\") + \")\");\n\t\t\t\tbreak;\n\n\t\t\t/* 2.5.198.38 TODO */\n\t\t\tcase 'PtgAttrSpace': break;\n\n\t\t\t/* 2.5.198.92 TODO */\n\t\t\tcase 'PtgTbl': break;\n\n\t\t\t/* 2.5.198.71 */\n\t\t\tcase 'PtgMemErr': break;\n\n\t\t\t/* 2.5.198.74 */\n\t\t\tcase 'PtgMissArg':\n\t\t\t\tstack.push(\"\");\n\t\t\t\tbreak;\n\n\t\t\t/* 2.5.198.29 TODO */\n\t\t\tcase 'PtgAreaErr': break;\n\n\t\t\t/* 2.5.198.31 TODO */\n\t\t\tcase 'PtgAreaN': stack.push(\"\"); break;\n\n\t\t\t/* 2.5.198.87 TODO */\n\t\t\tcase 'PtgRefErr3d': break;\n\n\t\t\t/* 2.5.198.72 TODO */\n\t\t\tcase 'PtgMemFunc': break;\n\n\t\t\tdefault: throw 'Unrecognized Formula Token: ' + f;\n\t\t}\n\t\t//console.log(\"::\",f, stack)\n\t}\n\t//console.log(\"--\",stack);\n\treturn stack[0];\n}\n\n/* [MS-XLSB] 2.5.97.4 CellParsedFormula TODO: use similar logic to js-xls */\nfunction parse_XLSBCellParsedFormula(data, length) {\n\tvar cce = data.read_shift(4);\n\treturn parsenoop(data, length-4);\n}\n/* [MS-XLS] 2.5.198.44 */\nvar PtgDataType = {\n\t0x1: \"REFERENCE\", // reference to range\n\t0x2: \"VALUE\", // single value\n\t0x3: \"ARRAY\" // array of values\n};\n\n/* [MS-XLS] 2.5.198.4 */\nvar Cetab = {\n\t0x0000: 'BEEP',\n\t0x0001: 'OPEN',\n\t0x0002: 'OPEN.LINKS',\n\t0x0003: 'CLOSE.ALL',\n\t0x0004: 'SAVE',\n\t0x0005: 'SAVE.AS',\n\t0x0006: 'FILE.DELETE',\n\t0x0007: 'PAGE.SETUP',\n\t0x0008: 'PRINT',\n\t0x0009: 'PRINTER.SETUP',\n\t0x000A: 'QUIT',\n\t0x000B: 'NEW.WINDOW',\n\t0x000C: 'ARRANGE.ALL',\n\t0x000D: 'WINDOW.SIZE',\n\t0x000E: 'WINDOW.MOVE',\n\t0x000F: 'FULL',\n\t0x0010: 'CLOSE',\n\t0x0011: 'RUN',\n\t0x0016: 'SET.PRINT.AREA',\n\t0x0017: 'SET.PRINT.TITLES',\n\t0x0018: 'SET.PAGE.BREAK',\n\t0x0019: 'REMOVE.PAGE.BREAK',\n\t0x001A: 'FONT',\n\t0x001B: 'DISPLAY',\n\t0x001C: 'PROTECT.DOCUMENT',\n\t0x001D: 'PRECISION',\n\t0x001E: 'A1.R1C1',\n\t0x001F: 'CALCULATE.NOW',\n\t0x0020: 'CALCULATION',\n\t0x0022: 'DATA.FIND',\n\t0x0023: 'EXTRACT',\n\t0x0024: 'DATA.DELETE',\n\t0x0025: 'SET.DATABASE',\n\t0x0026: 'SET.CRITERIA',\n\t0x0027: 'SORT',\n\t0x0028: 'DATA.SERIES',\n\t0x0029: 'TABLE',\n\t0x002A: 'FORMAT.NUMBER',\n\t0x002B: 'ALIGNMENT',\n\t0x002C: 'STYLE',\n\t0x002D: 'BORDER',\n\t0x002E: 'CELL.PROTECTION',\n\t0x002F: 'COLUMN.WIDTH',\n\t0x0030: 'UNDO',\n\t0x0031: 'CUT',\n\t0x0032: 'COPY',\n\t0x0033: 'PASTE',\n\t0x0034: 'CLEAR',\n\t0x0035: 'PASTE.SPECIAL',\n\t0x0036: 'EDIT.DELETE',\n\t0x0037: 'INSERT',\n\t0x0038: 'FILL.RIGHT',\n\t0x0039: 'FILL.DOWN',\n\t0x003D: 'DEFINE.NAME',\n\t0x003E: 'CREATE.NAMES',\n\t0x003F: 'FORMULA.GOTO',\n\t0x0040: 'FORMULA.FIND',\n\t0x0041: 'SELECT.LAST.CELL',\n\t0x0042: 'SHOW.ACTIVE.CELL',\n\t0x0043: 'GALLERY.AREA',\n\t0x0044: 'GALLERY.BAR',\n\t0x0045: 'GALLERY.COLUMN',\n\t0x0046: 'GALLERY.LINE',\n\t0x0047: 'GALLERY.PIE',\n\t0x0048: 'GALLERY.SCATTER',\n\t0x0049: 'COMBINATION',\n\t0x004A: 'PREFERRED',\n\t0x004B: 'ADD.OVERLAY',\n\t0x004C: 'GRIDLINES',\n\t0x004D: 'SET.PREFERRED',\n\t0x004E: 'AXES',\n\t0x004F: 'LEGEND',\n\t0x0050: 'ATTACH.TEXT',\n\t0x0051: 'ADD.ARROW',\n\t0x0052: 'SELECT.CHART',\n\t0x0053: 'SELECT.PLOT.AREA',\n\t0x0054: 'PATTERNS',\n\t0x0055: 'MAIN.CHART',\n\t0x0056: 'OVERLAY',\n\t0x0057: 'SCALE',\n\t0x0058: 'FORMAT.LEGEND',\n\t0x0059: 'FORMAT.TEXT',\n\t0x005A: 'EDIT.REPEAT',\n\t0x005B: 'PARSE',\n\t0x005C: 'JUSTIFY',\n\t0x005D: 'HIDE',\n\t0x005E: 'UNHIDE',\n\t0x005F: 'WORKSPACE',\n\t0x0060: 'FORMULA',\n\t0x0061: 'FORMULA.FILL',\n\t0x0062: 'FORMULA.ARRAY',\n\t0x0063: 'DATA.FIND.NEXT',\n\t0x0064: 'DATA.FIND.PREV',\n\t0x0065: 'FORMULA.FIND.NEXT',\n\t0x0066: 'FORMULA.FIND.PREV',\n\t0x0067: 'ACTIVATE',\n\t0x0068: 'ACTIVATE.NEXT',\n\t0x0069: 'ACTIVATE.PREV',\n\t0x006A: 'UNLOCKED.NEXT',\n\t0x006B: 'UNLOCKED.PREV',\n\t0x006C: 'COPY.PICTURE',\n\t0x006D: 'SELECT',\n\t0x006E: 'DELETE.NAME',\n\t0x006F: 'DELETE.FORMAT',\n\t0x0070: 'VLINE',\n\t0x0071: 'HLINE',\n\t0x0072: 'VPAGE',\n\t0x0073: 'HPAGE',\n\t0x0074: 'VSCROLL',\n\t0x0075: 'HSCROLL',\n\t0x0076: 'ALERT',\n\t0x0077: 'NEW',\n\t0x0078: 'CANCEL.COPY',\n\t0x0079: 'SHOW.CLIPBOARD',\n\t0x007A: 'MESSAGE',\n\t0x007C: 'PASTE.LINK',\n\t0x007D: 'APP.ACTIVATE',\n\t0x007E: 'DELETE.ARROW',\n\t0x007F: 'ROW.HEIGHT',\n\t0x0080: 'FORMAT.MOVE',\n\t0x0081: 'FORMAT.SIZE',\n\t0x0082: 'FORMULA.REPLACE',\n\t0x0083: 'SEND.KEYS',\n\t0x0084: 'SELECT.SPECIAL',\n\t0x0085: 'APPLY.NAMES',\n\t0x0086: 'REPLACE.FONT',\n\t0x0087: 'FREEZE.PANES',\n\t0x0088: 'SHOW.INFO',\n\t0x0089: 'SPLIT',\n\t0x008A: 'ON.WINDOW',\n\t0x008B: 'ON.DATA',\n\t0x008C: 'DISABLE.INPUT',\n\t0x008E: 'OUTLINE',\n\t0x008F: 'LIST.NAMES',\n\t0x0090: 'FILE.CLOSE',\n\t0x0091: 'SAVE.WORKBOOK',\n\t0x0092: 'DATA.FORM',\n\t0x0093: 'COPY.CHART',\n\t0x0094: 'ON.TIME',\n\t0x0095: 'WAIT',\n\t0x0096: 'FORMAT.FONT',\n\t0x0097: 'FILL.UP',\n\t0x0098: 'FILL.LEFT',\n\t0x0099: 'DELETE.OVERLAY',\n\t0x009B: 'SHORT.MENUS',\n\t0x009F: 'SET.UPDATE.STATUS',\n\t0x00A1: 'COLOR.PALETTE',\n\t0x00A2: 'DELETE.STYLE',\n\t0x00A3: 'WINDOW.RESTORE',\n\t0x00A4: 'WINDOW.MAXIMIZE',\n\t0x00A6: 'CHANGE.LINK',\n\t0x00A7: 'CALCULATE.DOCUMENT',\n\t0x00A8: 'ON.KEY',\n\t0x00A9: 'APP.RESTORE',\n\t0x00AA: 'APP.MOVE',\n\t0x00AB: 'APP.SIZE',\n\t0x00AC: 'APP.MINIMIZE',\n\t0x00AD: 'APP.MAXIMIZE',\n\t0x00AE: 'BRING.TO.FRONT',\n\t0x00AF: 'SEND.TO.BACK',\n\t0x00B9: 'MAIN.CHART.TYPE',\n\t0x00BA: 'OVERLAY.CHART.TYPE',\n\t0x00BB: 'SELECT.END',\n\t0x00BC: 'OPEN.MAIL',\n\t0x00BD: 'SEND.MAIL',\n\t0x00BE: 'STANDARD.FONT',\n\t0x00BF: 'CONSOLIDATE',\n\t0x00C0: 'SORT.SPECIAL',\n\t0x00C1: 'GALLERY.3D.AREA',\n\t0x00C2: 'GALLERY.3D.COLUMN',\n\t0x00C3: 'GALLERY.3D.LINE',\n\t0x00C4: 'GALLERY.3D.PIE',\n\t0x00C5: 'VIEW.3D',\n\t0x00C6: 'GOAL.SEEK',\n\t0x00C7: 'WORKGROUP',\n\t0x00C8: 'FILL.GROUP',\n\t0x00C9: 'UPDATE.LINK',\n\t0x00CA: 'PROMOTE',\n\t0x00CB: 'DEMOTE',\n\t0x00CC: 'SHOW.DETAIL',\n\t0x00CE: 'UNGROUP',\n\t0x00CF: 'OBJECT.PROPERTIES',\n\t0x00D0: 'SAVE.NEW.OBJECT',\n\t0x00D1: 'SHARE',\n\t0x00D2: 'SHARE.NAME',\n\t0x00D3: 'DUPLICATE',\n\t0x00D4: 'APPLY.STYLE',\n\t0x00D5: 'ASSIGN.TO.OBJECT',\n\t0x00D6: 'OBJECT.PROTECTION',\n\t0x00D7: 'HIDE.OBJECT',\n\t0x00D8: 'SET.EXTRACT',\n\t0x00D9: 'CREATE.PUBLISHER',\n\t0x00DA: 'SUBSCRIBE.TO',\n\t0x00DB: 'ATTRIBUTES',\n\t0x00DC: 'SHOW.TOOLBAR',\n\t0x00DE: 'PRINT.PREVIEW',\n\t0x00DF: 'EDIT.COLOR',\n\t0x00E0: 'SHOW.LEVELS',\n\t0x00E1: 'FORMAT.MAIN',\n\t0x00E2: 'FORMAT.OVERLAY',\n\t0x00E3: 'ON.RECALC',\n\t0x00E4: 'EDIT.SERIES',\n\t0x00E5: 'DEFINE.STYLE',\n\t0x00F0: 'LINE.PRINT',\n\t0x00F3: 'ENTER.DATA',\n\t0x00F9: 'GALLERY.RADAR',\n\t0x00FA: 'MERGE.STYLES',\n\t0x00FB: 'EDITION.OPTIONS',\n\t0x00FC: 'PASTE.PICTURE',\n\t0x00FD: 'PASTE.PICTURE.LINK',\n\t0x00FE: 'SPELLING',\n\t0x0100: 'ZOOM',\n\t0x0103: 'INSERT.OBJECT',\n\t0x0104: 'WINDOW.MINIMIZE',\n\t0x0109: 'SOUND.NOTE',\n\t0x010A: 'SOUND.PLAY',\n\t0x010B: 'FORMAT.SHAPE',\n\t0x010C: 'EXTEND.POLYGON',\n\t0x010D: 'FORMAT.AUTO',\n\t0x0110: 'GALLERY.3D.BAR',\n\t0x0111: 'GALLERY.3D.SURFACE',\n\t0x0112: 'FILL.AUTO',\n\t0x0114: 'CUSTOMIZE.TOOLBAR',\n\t0x0115: 'ADD.TOOL',\n\t0x0116: 'EDIT.OBJECT',\n\t0x0117: 'ON.DOUBLECLICK',\n\t0x0118: 'ON.ENTRY',\n\t0x0119: 'WORKBOOK.ADD',\n\t0x011A: 'WORKBOOK.MOVE',\n\t0x011B: 'WORKBOOK.COPY',\n\t0x011C: 'WORKBOOK.OPTIONS',\n\t0x011D: 'SAVE.WORKSPACE',\n\t0x0120: 'CHART.WIZARD',\n\t0x0121: 'DELETE.TOOL',\n\t0x0122: 'MOVE.TOOL',\n\t0x0123: 'WORKBOOK.SELECT',\n\t0x0124: 'WORKBOOK.ACTIVATE',\n\t0x0125: 'ASSIGN.TO.TOOL',\n\t0x0127: 'COPY.TOOL',\n\t0x0128: 'RESET.TOOL',\n\t0x0129: 'CONSTRAIN.NUMERIC',\n\t0x012A: 'PASTE.TOOL',\n\t0x012E: 'WORKBOOK.NEW',\n\t0x0131: 'SCENARIO.CELLS',\n\t0x0132: 'SCENARIO.DELETE',\n\t0x0133: 'SCENARIO.ADD',\n\t0x0134: 'SCENARIO.EDIT',\n\t0x0135: 'SCENARIO.SHOW',\n\t0x0136: 'SCENARIO.SHOW.NEXT',\n\t0x0137: 'SCENARIO.SUMMARY',\n\t0x0138: 'PIVOT.TABLE.WIZARD',\n\t0x0139: 'PIVOT.FIELD.PROPERTIES',\n\t0x013A: 'PIVOT.FIELD',\n\t0x013B: 'PIVOT.ITEM',\n\t0x013C: 'PIVOT.ADD.FIELDS',\n\t0x013E: 'OPTIONS.CALCULATION',\n\t0x013F: 'OPTIONS.EDIT',\n\t0x0140: 'OPTIONS.VIEW',\n\t0x0141: 'ADDIN.MANAGER',\n\t0x0142: 'MENU.EDITOR',\n\t0x0143: 'ATTACH.TOOLBARS',\n\t0x0144: 'VBAActivate',\n\t0x0145: 'OPTIONS.CHART',\n\t0x0148: 'VBA.INSERT.FILE',\n\t0x014A: 'VBA.PROCEDURE.DEFINITION',\n\t0x0150: 'ROUTING.SLIP',\n\t0x0152: 'ROUTE.DOCUMENT',\n\t0x0153: 'MAIL.LOGON',\n\t0x0156: 'INSERT.PICTURE',\n\t0x0157: 'EDIT.TOOL',\n\t0x0158: 'GALLERY.DOUGHNUT',\n\t0x015E: 'CHART.TREND',\n\t0x0160: 'PIVOT.ITEM.PROPERTIES',\n\t0x0162: 'WORKBOOK.INSERT',\n\t0x0163: 'OPTIONS.TRANSITION',\n\t0x0164: 'OPTIONS.GENERAL',\n\t0x0172: 'FILTER.ADVANCED',\n\t0x0175: 'MAIL.ADD.MAILER',\n\t0x0176: 'MAIL.DELETE.MAILER',\n\t0x0177: 'MAIL.REPLY',\n\t0x0178: 'MAIL.REPLY.ALL',\n\t0x0179: 'MAIL.FORWARD',\n\t0x017A: 'MAIL.NEXT.LETTER',\n\t0x017B: 'DATA.LABEL',\n\t0x017C: 'INSERT.TITLE',\n\t0x017D: 'FONT.PROPERTIES',\n\t0x017E: 'MACRO.OPTIONS',\n\t0x017F: 'WORKBOOK.HIDE',\n\t0x0180: 'WORKBOOK.UNHIDE',\n\t0x0181: 'WORKBOOK.DELETE',\n\t0x0182: 'WORKBOOK.NAME',\n\t0x0184: 'GALLERY.CUSTOM',\n\t0x0186: 'ADD.CHART.AUTOFORMAT',\n\t0x0187: 'DELETE.CHART.AUTOFORMAT',\n\t0x0188: 'CHART.ADD.DATA',\n\t0x0189: 'AUTO.OUTLINE',\n\t0x018A: 'TAB.ORDER',\n\t0x018B: 'SHOW.DIALOG',\n\t0x018C: 'SELECT.ALL',\n\t0x018D: 'UNGROUP.SHEETS',\n\t0x018E: 'SUBTOTAL.CREATE',\n\t0x018F: 'SUBTOTAL.REMOVE',\n\t0x0190: 'RENAME.OBJECT',\n\t0x019C: 'WORKBOOK.SCROLL',\n\t0x019D: 'WORKBOOK.NEXT',\n\t0x019E: 'WORKBOOK.PREV',\n\t0x019F: 'WORKBOOK.TAB.SPLIT',\n\t0x01A0: 'FULL.SCREEN',\n\t0x01A1: 'WORKBOOK.PROTECT',\n\t0x01A4: 'SCROLLBAR.PROPERTIES',\n\t0x01A5: 'PIVOT.SHOW.PAGES',\n\t0x01A6: 'TEXT.TO.COLUMNS',\n\t0x01A7: 'FORMAT.CHARTTYPE',\n\t0x01A8: 'LINK.FORMAT',\n\t0x01A9: 'TRACER.DISPLAY',\n\t0x01AE: 'TRACER.NAVIGATE',\n\t0x01AF: 'TRACER.CLEAR',\n\t0x01B0: 'TRACER.ERROR',\n\t0x01B1: 'PIVOT.FIELD.GROUP',\n\t0x01B2: 'PIVOT.FIELD.UNGROUP',\n\t0x01B3: 'CHECKBOX.PROPERTIES',\n\t0x01B4: 'LABEL.PROPERTIES',\n\t0x01B5: 'LISTBOX.PROPERTIES',\n\t0x01B6: 'EDITBOX.PROPERTIES',\n\t0x01B7: 'PIVOT.REFRESH',\n\t0x01B8: 'LINK.COMBO',\n\t0x01B9: 'OPEN.TEXT',\n\t0x01BA: 'HIDE.DIALOG',\n\t0x01BB: 'SET.DIALOG.FOCUS',\n\t0x01BC: 'ENABLE.OBJECT',\n\t0x01BD: 'PUSHBUTTON.PROPERTIES',\n\t0x01BE: 'SET.DIALOG.DEFAULT',\n\t0x01BF: 'FILTER',\n\t0x01C0: 'FILTER.SHOW.ALL',\n\t0x01C1: 'CLEAR.OUTLINE',\n\t0x01C2: 'FUNCTION.WIZARD',\n\t0x01C3: 'ADD.LIST.ITEM',\n\t0x01C4: 'SET.LIST.ITEM',\n\t0x01C5: 'REMOVE.LIST.ITEM',\n\t0x01C6: 'SELECT.LIST.ITEM',\n\t0x01C7: 'SET.CONTROL.VALUE',\n\t0x01C8: 'SAVE.COPY.AS',\n\t0x01CA: 'OPTIONS.LISTS.ADD',\n\t0x01CB: 'OPTIONS.LISTS.DELETE',\n\t0x01CC: 'SERIES.AXES',\n\t0x01CD: 'SERIES.X',\n\t0x01CE: 'SERIES.Y',\n\t0x01CF: 'ERRORBAR.X',\n\t0x01D0: 'ERRORBAR.Y',\n\t0x01D1: 'FORMAT.CHART',\n\t0x01D2: 'SERIES.ORDER',\n\t0x01D3: 'MAIL.LOGOFF',\n\t0x01D4: 'CLEAR.ROUTING.SLIP',\n\t0x01D5: 'APP.ACTIVATE.MICROSOFT',\n\t0x01D6: 'MAIL.EDIT.MAILER',\n\t0x01D7: 'ON.SHEET',\n\t0x01D8: 'STANDARD.WIDTH',\n\t0x01D9: 'SCENARIO.MERGE',\n\t0x01DA: 'SUMMARY.INFO',\n\t0x01DB: 'FIND.FILE',\n\t0x01DC: 'ACTIVE.CELL.FONT',\n\t0x01DD: 'ENABLE.TIPWIZARD',\n\t0x01DE: 'VBA.MAKE.ADDIN',\n\t0x01E0: 'INSERTDATATABLE',\n\t0x01E1: 'WORKGROUP.OPTIONS',\n\t0x01E2: 'MAIL.SEND.MAILER',\n\t0x01E5: 'AUTOCORRECT',\n\t0x01E9: 'POST.DOCUMENT',\n\t0x01EB: 'PICKLIST',\n\t0x01ED: 'VIEW.SHOW',\n\t0x01EE: 'VIEW.DEFINE',\n\t0x01EF: 'VIEW.DELETE',\n\t0x01FD: 'SHEET.BACKGROUND',\n\t0x01FE: 'INSERT.MAP.OBJECT',\n\t0x01FF: 'OPTIONS.MENONO',\n\t0x0205: 'MSOCHECKS',\n\t0x0206: 'NORMAL',\n\t0x0207: 'LAYOUT',\n\t0x0208: 'RM.PRINT.AREA',\n\t0x0209: 'CLEAR.PRINT.AREA',\n\t0x020A: 'ADD.PRINT.AREA',\n\t0x020B: 'MOVE.BRK',\n\t0x0221: 'HIDECURR.NOTE',\n\t0x0222: 'HIDEALL.NOTES',\n\t0x0223: 'DELETE.NOTE',\n\t0x0224: 'TRAVERSE.NOTES',\n\t0x0225: 'ACTIVATE.NOTES',\n\t0x026C: 'PROTECT.REVISIONS',\n\t0x026D: 'UNPROTECT.REVISIONS',\n\t0x0287: 'OPTIONS.ME',\n\t0x028D: 'WEB.PUBLISH',\n\t0x029B: 'NEWWEBQUERY',\n\t0x02A1: 'PIVOT.TABLE.CHART',\n\t0x02F1: 'OPTIONS.SAVE',\n\t0x02F3: 'OPTIONS.SPELL',\n\t0x0328: 'HIDEALL.INKANNOTS'\n};\n\n/* [MS-XLS] 2.5.198.17 */\nvar Ftab = {\n\t0x0000: 'COUNT',\n\t0x0001: 'IF',\n\t0x0002: 'ISNA',\n\t0x0003: 'ISERROR',\n\t0x0004: 'SUM',\n\t0x0005: 'AVERAGE',\n\t0x0006: 'MIN',\n\t0x0007: 'MAX',\n\t0x0008: 'ROW',\n\t0x0009: 'COLUMN',\n\t0x000A: 'NA',\n\t0x000B: 'NPV',\n\t0x000C: 'STDEV',\n\t0x000D: 'DOLLAR',\n\t0x000E: 'FIXED',\n\t0x000F: 'SIN',\n\t0x0010: 'COS',\n\t0x0011: 'TAN',\n\t0x0012: 'ATAN',\n\t0x0013: 'PI',\n\t0x0014: 'SQRT',\n\t0x0015: 'EXP',\n\t0x0016: 'LN',\n\t0x0017: 'LOG10',\n\t0x0018: 'ABS',\n\t0x0019: 'INT',\n\t0x001A: 'SIGN',\n\t0x001B: 'ROUND',\n\t0x001C: 'LOOKUP',\n\t0x001D: 'INDEX',\n\t0x001E: 'REPT',\n\t0x001F: 'MID',\n\t0x0020: 'LEN',\n\t0x0021: 'VALUE',\n\t0x0022: 'TRUE',\n\t0x0023: 'FALSE',\n\t0x0024: 'AND',\n\t0x0025: 'OR',\n\t0x0026: 'NOT',\n\t0x0027: 'MOD',\n\t0x0028: 'DCOUNT',\n\t0x0029: 'DSUM',\n\t0x002A: 'DAVERAGE',\n\t0x002B: 'DMIN',\n\t0x002C: 'DMAX',\n\t0x002D: 'DSTDEV',\n\t0x002E: 'VAR',\n\t0x002F: 'DVAR',\n\t0x0030: 'TEXT',\n\t0x0031: 'LINEST',\n\t0x0032: 'TREND',\n\t0x0033: 'LOGEST',\n\t0x0034: 'GROWTH',\n\t0x0035: 'GOTO',\n\t0x0036: 'HALT',\n\t0x0037: 'RETURN',\n\t0x0038: 'PV',\n\t0x0039: 'FV',\n\t0x003A: 'NPER',\n\t0x003B: 'PMT',\n\t0x003C: 'RATE',\n\t0x003D: 'MIRR',\n\t0x003E: 'IRR',\n\t0x003F: 'RAND',\n\t0x0040: 'MATCH',\n\t0x0041: 'DATE',\n\t0x0042: 'TIME',\n\t0x0043: 'DAY',\n\t0x0044: 'MONTH',\n\t0x0045: 'YEAR',\n\t0x0046: 'WEEKDAY',\n\t0x0047: 'HOUR',\n\t0x0048: 'MINUTE',\n\t0x0049: 'SECOND',\n\t0x004A: 'NOW',\n\t0x004B: 'AREAS',\n\t0x004C: 'ROWS',\n\t0x004D: 'COLUMNS',\n\t0x004E: 'OFFSET',\n\t0x004F: 'ABSREF',\n\t0x0050: 'RELREF',\n\t0x0051: 'ARGUMENT',\n\t0x0052: 'SEARCH',\n\t0x0053: 'TRANSPOSE',\n\t0x0054: 'ERROR',\n\t0x0055: 'STEP',\n\t0x0056: 'TYPE',\n\t0x0057: 'ECHO',\n\t0x0058: 'SET.NAME',\n\t0x0059: 'CALLER',\n\t0x005A: 'DEREF',\n\t0x005B: 'WINDOWS',\n\t0x005C: 'SERIES',\n\t0x005D: 'DOCUMENTS',\n\t0x005E: 'ACTIVE.CELL',\n\t0x005F: 'SELECTION',\n\t0x0060: 'RESULT',\n\t0x0061: 'ATAN2',\n\t0x0062: 'ASIN',\n\t0x0063: 'ACOS',\n\t0x0064: 'CHOOSE',\n\t0x0065: 'HLOOKUP',\n\t0x0066: 'VLOOKUP',\n\t0x0067: 'LINKS',\n\t0x0068: 'INPUT',\n\t0x0069: 'ISREF',\n\t0x006A: 'GET.FORMULA',\n\t0x006B: 'GET.NAME',\n\t0x006C: 'SET.VALUE',\n\t0x006D: 'LOG',\n\t0x006E: 'EXEC',\n\t0x006F: 'CHAR',\n\t0x0070: 'LOWER',\n\t0x0071: 'UPPER',\n\t0x0072: 'PROPER',\n\t0x0073: 'LEFT',\n\t0x0074: 'RIGHT',\n\t0x0075: 'EXACT',\n\t0x0076: 'TRIM',\n\t0x0077: 'REPLACE',\n\t0x0078: 'SUBSTITUTE',\n\t0x0079: 'CODE',\n\t0x007A: 'NAMES',\n\t0x007B: 'DIRECTORY',\n\t0x007C: 'FIND',\n\t0x007D: 'CELL',\n\t0x007E: 'ISERR',\n\t0x007F: 'ISTEXT',\n\t0x0080: 'ISNUMBER',\n\t0x0081: 'ISBLANK',\n\t0x0082: 'T',\n\t0x0083: 'N',\n\t0x0084: 'FOPEN',\n\t0x0085: 'FCLOSE',\n\t0x0086: 'FSIZE',\n\t0x0087: 'FREADLN',\n\t0x0088: 'FREAD',\n\t0x0089: 'FWRITELN',\n\t0x008A: 'FWRITE',\n\t0x008B: 'FPOS',\n\t0x008C: 'DATEVALUE',\n\t0x008D: 'TIMEVALUE',\n\t0x008E: 'SLN',\n\t0x008F: 'SYD',\n\t0x0090: 'DDB',\n\t0x0091: 'GET.DEF',\n\t0x0092: 'REFTEXT',\n\t0x0093: 'TEXTREF',\n\t0x0094: 'INDIRECT',\n\t0x0095: 'REGISTER',\n\t0x0096: 'CALL',\n\t0x0097: 'ADD.BAR',\n\t0x0098: 'ADD.MENU',\n\t0x0099: 'ADD.COMMAND',\n\t0x009A: 'ENABLE.COMMAND',\n\t0x009B: 'CHECK.COMMAND',\n\t0x009C: 'RENAME.COMMAND',\n\t0x009D: 'SHOW.BAR',\n\t0x009E: 'DELETE.MENU',\n\t0x009F: 'DELETE.COMMAND',\n\t0x00A0: 'GET.CHART.ITEM',\n\t0x00A1: 'DIALOG.BOX',\n\t0x00A2: 'CLEAN',\n\t0x00A3: 'MDETERM',\n\t0x00A4: 'MINVERSE',\n\t0x00A5: 'MMULT',\n\t0x00A6: 'FILES',\n\t0x00A7: 'IPMT',\n\t0x00A8: 'PPMT',\n\t0x00A9: 'COUNTA',\n\t0x00AA: 'CANCEL.KEY',\n\t0x00AB: 'FOR',\n\t0x00AC: 'WHILE',\n\t0x00AD: 'BREAK',\n\t0x00AE: 'NEXT',\n\t0x00AF: 'INITIATE',\n\t0x00B0: 'REQUEST',\n\t0x00B1: 'POKE',\n\t0x00B2: 'EXECUTE',\n\t0x00B3: 'TERMINATE',\n\t0x00B4: 'RESTART',\n\t0x00B5: 'HELP',\n\t0x00B6: 'GET.BAR',\n\t0x00B7: 'PRODUCT',\n\t0x00B8: 'FACT',\n\t0x00B9: 'GET.CELL',\n\t0x00BA: 'GET.WORKSPACE',\n\t0x00BB: 'GET.WINDOW',\n\t0x00BC: 'GET.DOCUMENT',\n\t0x00BD: 'DPRODUCT',\n\t0x00BE: 'ISNONTEXT',\n\t0x00BF: 'GET.NOTE',\n\t0x00C0: 'NOTE',\n\t0x00C1: 'STDEVP',\n\t0x00C2: 'VARP',\n\t0x00C3: 'DSTDEVP',\n\t0x00C4: 'DVARP',\n\t0x00C5: 'TRUNC',\n\t0x00C6: 'ISLOGICAL',\n\t0x00C7: 'DCOUNTA',\n\t0x00C8: 'DELETE.BAR',\n\t0x00C9: 'UNREGISTER',\n\t0x00CC: 'USDOLLAR',\n\t0x00CD: 'FINDB',\n\t0x00CE: 'SEARCHB',\n\t0x00CF: 'REPLACEB',\n\t0x00D0: 'LEFTB',\n\t0x00D1: 'RIGHTB',\n\t0x00D2: 'MIDB',\n\t0x00D3: 'LENB',\n\t0x00D4: 'ROUNDUP',\n\t0x00D5: 'ROUNDDOWN',\n\t0x00D6: 'ASC',\n\t0x00D7: 'DBCS',\n\t0x00D8: 'RANK',\n\t0x00DB: 'ADDRESS',\n\t0x00DC: 'DAYS360',\n\t0x00DD: 'TODAY',\n\t0x00DE: 'VDB',\n\t0x00DF: 'ELSE',\n\t0x00E0: 'ELSE.IF',\n\t0x00E1: 'END.IF',\n\t0x00E2: 'FOR.CELL',\n\t0x00E3: 'MEDIAN',\n\t0x00E4: 'SUMPRODUCT',\n\t0x00E5: 'SINH',\n\t0x00E6: 'COSH',\n\t0x00E7: 'TANH',\n\t0x00E8: 'ASINH',\n\t0x00E9: 'ACOSH',\n\t0x00EA: 'ATANH',\n\t0x00EB: 'DGET',\n\t0x00EC: 'CREATE.OBJECT',\n\t0x00ED: 'VOLATILE',\n\t0x00EE: 'LAST.ERROR',\n\t0x00EF: 'CUSTOM.UNDO',\n\t0x00F0: 'CUSTOM.REPEAT',\n\t0x00F1: 'FORMULA.CONVERT',\n\t0x00F2: 'GET.LINK.INFO',\n\t0x00F3: 'TEXT.BOX',\n\t0x00F4: 'INFO',\n\t0x00F5: 'GROUP',\n\t0x00F6: 'GET.OBJECT',\n\t0x00F7: 'DB',\n\t0x00F8: 'PAUSE',\n\t0x00FB: 'RESUME',\n\t0x00FC: 'FREQUENCY',\n\t0x00FD: 'ADD.TOOLBAR',\n\t0x00FE: 'DELETE.TOOLBAR',\n\t0x00FF: 'User',\n\t0x0100: 'RESET.TOOLBAR',\n\t0x0101: 'EVALUATE',\n\t0x0102: 'GET.TOOLBAR',\n\t0x0103: 'GET.TOOL',\n\t0x0104: 'SPELLING.CHECK',\n\t0x0105: 'ERROR.TYPE',\n\t0x0106: 'APP.TITLE',\n\t0x0107: 'WINDOW.TITLE',\n\t0x0108: 'SAVE.TOOLBAR',\n\t0x0109: 'ENABLE.TOOL',\n\t0x010A: 'PRESS.TOOL',\n\t0x010B: 'REGISTER.ID',\n\t0x010C: 'GET.WORKBOOK',\n\t0x010D: 'AVEDEV',\n\t0x010E: 'BETADIST',\n\t0x010F: 'GAMMALN',\n\t0x0110: 'BETAINV',\n\t0x0111: 'BINOMDIST',\n\t0x0112: 'CHIDIST',\n\t0x0113: 'CHIINV',\n\t0x0114: 'COMBIN',\n\t0x0115: 'CONFIDENCE',\n\t0x0116: 'CRITBINOM',\n\t0x0117: 'EVEN',\n\t0x0118: 'EXPONDIST',\n\t0x0119: 'FDIST',\n\t0x011A: 'FINV',\n\t0x011B: 'FISHER',\n\t0x011C: 'FISHERINV',\n\t0x011D: 'FLOOR',\n\t0x011E: 'GAMMADIST',\n\t0x011F: 'GAMMAINV',\n\t0x0120: 'CEILING',\n\t0x0121: 'HYPGEOMDIST',\n\t0x0122: 'LOGNORMDIST',\n\t0x0123: 'LOGINV',\n\t0x0124: 'NEGBINOMDIST',\n\t0x0125: 'NORMDIST',\n\t0x0126: 'NORMSDIST',\n\t0x0127: 'NORMINV',\n\t0x0128: 'NORMSINV',\n\t0x0129: 'STANDARDIZE',\n\t0x012A: 'ODD',\n\t0x012B: 'PERMUT',\n\t0x012C: 'POISSON',\n\t0x012D: 'TDIST',\n\t0x012E: 'WEIBULL',\n\t0x012F: 'SUMXMY2',\n\t0x0130: 'SUMX2MY2',\n\t0x0131: 'SUMX2PY2',\n\t0x0132: 'CHITEST',\n\t0x0133: 'CORREL',\n\t0x0134: 'COVAR',\n\t0x0135: 'FORECAST',\n\t0x0136: 'FTEST',\n\t0x0137: 'INTERCEPT',\n\t0x0138: 'PEARSON',\n\t0x0139: 'RSQ',\n\t0x013A: 'STEYX',\n\t0x013B: 'SLOPE',\n\t0x013C: 'TTEST',\n\t0x013D: 'PROB',\n\t0x013E: 'DEVSQ',\n\t0x013F: 'GEOMEAN',\n\t0x0140: 'HARMEAN',\n\t0x0141: 'SUMSQ',\n\t0x0142: 'KURT',\n\t0x0143: 'SKEW',\n\t0x0144: 'ZTEST',\n\t0x0145: 'LARGE',\n\t0x0146: 'SMALL',\n\t0x0147: 'QUARTILE',\n\t0x0148: 'PERCENTILE',\n\t0x0149: 'PERCENTRANK',\n\t0x014A: 'MODE',\n\t0x014B: 'TRIMMEAN',\n\t0x014C: 'TINV',\n\t0x014E: 'MOVIE.COMMAND',\n\t0x014F: 'GET.MOVIE',\n\t0x0150: 'CONCATENATE',\n\t0x0151: 'POWER',\n\t0x0152: 'PIVOT.ADD.DATA',\n\t0x0153: 'GET.PIVOT.TABLE',\n\t0x0154: 'GET.PIVOT.FIELD',\n\t0x0155: 'GET.PIVOT.ITEM',\n\t0x0156: 'RADIANS',\n\t0x0157: 'DEGREES',\n\t0x0158: 'SUBTOTAL',\n\t0x0159: 'SUMIF',\n\t0x015A: 'COUNTIF',\n\t0x015B: 'COUNTBLANK',\n\t0x015C: 'SCENARIO.GET',\n\t0x015D: 'OPTIONS.LISTS.GET',\n\t0x015E: 'ISPMT',\n\t0x015F: 'DATEDIF',\n\t0x0160: 'DATESTRING',\n\t0x0161: 'NUMBERSTRING',\n\t0x0162: 'ROMAN',\n\t0x0163: 'OPEN.DIALOG',\n\t0x0164: 'SAVE.DIALOG',\n\t0x0165: 'VIEW.GET',\n\t0x0166: 'GETPIVOTDATA',\n\t0x0167: 'HYPERLINK',\n\t0x0168: 'PHONETIC',\n\t0x0169: 'AVERAGEA',\n\t0x016A: 'MAXA',\n\t0x016B: 'MINA',\n\t0x016C: 'STDEVPA',\n\t0x016D: 'VARPA',\n\t0x016E: 'STDEVA',\n\t0x016F: 'VARA',\n\t0x0170: 'BAHTTEXT',\n\t0x0171: 'THAIDAYOFWEEK',\n\t0x0172: 'THAIDIGIT',\n\t0x0173: 'THAIMONTHOFYEAR',\n\t0x0174: 'THAINUMSOUND',\n\t0x0175: 'THAINUMSTRING',\n\t0x0176: 'THAISTRINGLENGTH',\n\t0x0177: 'ISTHAIDIGIT',\n\t0x0178: 'ROUNDBAHTDOWN',\n\t0x0179: 'ROUNDBAHTUP',\n\t0x017A: 'THAIYEAR',\n\t0x017B: 'RTD'\n};\nvar FtabArgc = {\n\t0x0002: 1, /* ISNA */\n\t0x0003: 1, /* ISERROR */\n\t0x000F: 1, /* SIN */\n\t0x0010: 1, /* COS */\n\t0x0011: 1, /* TAN */\n\t0x0012: 1, /* ATAN */\n\t0x0014: 1, /* SQRT */\n\t0x0015: 1, /* EXP */\n\t0x0016: 1, /* LN */\n\t0x0017: 1, /* LOG10 */\n\t0x0018: 1, /* ABS */\n\t0x0019: 1, /* INT */\n\t0x001A: 1, /* SIGN */\n\t0x001B: 2, /* ROUND */\n\t0x001E: 2, /* REPT */\n\t0x001F: 3, /* MID */\n\t0x0020: 1, /* LEN */\n\t0x0021: 1, /* VALUE */\n\t0x0026: 1, /* NOT */\n\t0x0027: 2, /* MOD */\n\t0x0028: 3, /* DCOUNT */\n\t0x0029: 3, /* DSUM */\n\t0x002A: 3, /* DAVERAGE */\n\t0x002B: 3, /* DMIN */\n\t0x002C: 3, /* DMAX */\n\t0x002D: 3, /* DSTDEV */\n\t0x002F: 3, /* DVAR */\n\t0x0030: 2, /* TEXT */\n\t0x0035: 1, /* GOTO */\n\t0x003D: 3, /* MIRR */\n\t0x0041: 3, /* DATE */\n\t0x0042: 3, /* TIME */\n\t0x0043: 1, /* DAY */\n\t0x0044: 1, /* MONTH */\n\t0x0045: 1, /* YEAR */\n\t0x0047: 1, /* HOUR */\n\t0x0048: 1, /* MINUTE */\n\t0x0049: 1, /* SECOND */\n\t0x004B: 1, /* AREAS */\n\t0x004C: 1, /* ROWS */\n\t0x004D: 1, /* COLUMNS */\n\t0x004F: 2, /* ABSREF */\n\t0x0050: 2, /* RELREF */\n\t0x0053: 1, /* TRANSPOSE */\n\t0x0056: 1, /* TYPE */\n\t0x005A: 1, /* DEREF */\n\t0x0061: 2, /* ATAN2 */\n\t0x0062: 1, /* ASIN */\n\t0x0063: 1, /* ACOS */\n\t0x0069: 1, /* ISREF */\n\t0x006F: 1, /* CHAR */\n\t0x0070: 1, /* LOWER */\n\t0x0071: 1, /* UPPER */\n\t0x0072: 1, /* PROPER */\n\t0x0075: 2, /* EXACT */\n\t0x0076: 1, /* TRIM */\n\t0x0077: 4, /* REPLACE */\n\t0x0079: 1, /* CODE */\n\t0x007E: 1, /* ISERR */\n\t0x007F: 1, /* ISTEXT */\n\t0x0080: 1, /* ISNUMBER */\n\t0x0081: 1, /* ISBLANK */\n\t0x0082: 1, /* T */\n\t0x0083: 1, /* N */\n\t0x0085: 1, /* FCLOSE */\n\t0x0086: 1, /* FSIZE */\n\t0x0087: 1, /* FREADLN */\n\t0x0088: 2, /* FREAD */\n\t0x0089: 2, /* FWRITELN */\n\t0x008A: 2, /* FWRITE */\n\t0x008C: 1, /* DATEVALUE */\n\t0x008D: 1, /* TIMEVALUE */\n\t0x008E: 3, /* SLN */\n\t0x008F: 4, /* SYD */\n\t0x00A2: 1, /* CLEAN */\n\t0x00A3: 1, /* MDETERM */\n\t0x00A4: 1, /* MINVERSE */\n\t0x00A5: 2, /* MMULT */\n\t0x00AC: 1, /* WHILE */\n\t0x00AF: 2, /* INITIATE */\n\t0x00B0: 2, /* REQUEST */\n\t0x00B1: 3, /* POKE */\n\t0x00B2: 2, /* EXECUTE */\n\t0x00B3: 1, /* TERMINATE */\n\t0x00B8: 1, /* FACT */\n\t0x00BD: 3, /* DPRODUCT */\n\t0x00BE: 1, /* ISNONTEXT */\n\t0x00C3: 3, /* DSTDEVP */\n\t0x00C4: 3, /* DVARP */\n\t0x00C6: 1, /* ISLOGICAL */\n\t0x00C7: 3, /* DCOUNTA */\n\t0x00C9: 1, /* UNREGISTER */\n\t0x00CF: 4, /* REPLACEB */\n\t0x00D2: 3, /* MIDB */\n\t0x00D3: 1, /* LENB */\n\t0x00D4: 2, /* ROUNDUP */\n\t0x00D5: 2, /* ROUNDDOWN */\n\t0x00D6: 1, /* ASC */\n\t0x00D7: 1, /* DBCS */\n\t0x00E5: 1, /* SINH */\n\t0x00E6: 1, /* COSH */\n\t0x00E7: 1, /* TANH */\n\t0x00E8: 1, /* ASINH */\n\t0x00E9: 1, /* ACOSH */\n\t0x00EA: 1, /* ATANH */\n\t0x00EB: 3, /* DGET */\n\t0x00F4: 1, /* INFO */\n\t0x00FC: 2, /* FREQUENCY */\n\t0x0101: 1, /* EVALUATE */\n\t0x0105: 1, /* ERROR.TYPE */\n\t0x010F: 1, /* GAMMALN */\n\t0x0111: 4, /* BINOMDIST */\n\t0x0112: 2, /* CHIDIST */\n\t0x0113: 2, /* CHIINV */\n\t0x0114: 2, /* COMBIN */\n\t0x0115: 3, /* CONFIDENCE */\n\t0x0116: 3, /* CRITBINOM */\n\t0x0117: 1, /* EVEN */\n\t0x0118: 3, /* EXPONDIST */\n\t0x0119: 3, /* FDIST */\n\t0x011A: 3, /* FINV */\n\t0x011B: 1, /* FISHER */\n\t0x011C: 1, /* FISHERINV */\n\t0x011D: 2, /* FLOOR */\n\t0x011E: 4, /* GAMMADIST */\n\t0x011F: 3, /* GAMMAINV */\n\t0x0120: 2, /* CEILING */\n\t0x0121: 4, /* HYPGEOMDIST */\n\t0x0122: 3, /* LOGNORMDIST */\n\t0x0123: 3, /* LOGINV */\n\t0x0124: 3, /* NEGBINOMDIST */\n\t0x0125: 4, /* NORMDIST */\n\t0x0126: 1, /* NORMSDIST */\n\t0x0127: 3, /* NORMINV */\n\t0x0128: 1, /* NORMSINV */\n\t0x0129: 3, /* STANDARDIZE */\n\t0x012A: 1, /* ODD */\n\t0x012B: 2, /* PERMUT */\n\t0x012C: 3, /* POISSON */\n\t0x012D: 3, /* TDIST */\n\t0x012E: 4, /* WEIBULL */\n\t0x012F: 2, /* SUMXMY2 */\n\t0x0130: 2, /* SUMX2MY2 */\n\t0x0131: 2, /* SUMX2PY2 */\n\t0x0132: 2, /* CHITEST */\n\t0x0133: 2, /* CORREL */\n\t0x0134: 2, /* COVAR */\n\t0x0135: 3, /* FORECAST */\n\t0x0136: 2, /* FTEST */\n\t0x0137: 2, /* INTERCEPT */\n\t0x0138: 2, /* PEARSON */\n\t0x0139: 2, /* RSQ */\n\t0x013A: 2, /* STEYX */\n\t0x013B: 2, /* SLOPE */\n\t0x013C: 4, /* TTEST */\n\t0x0145: 2, /* LARGE */\n\t0x0146: 2, /* SMALL */\n\t0x0147: 2, /* QUARTILE */\n\t0x0148: 2, /* PERCENTILE */\n\t0x014B: 2, /* TRIMMEAN */\n\t0x014C: 2, /* TINV */\n\t0x0151: 2, /* POWER */\n\t0x0156: 1, /* RADIANS */\n\t0x0157: 1, /* DEGREES */\n\t0x015A: 2, /* COUNTIF */\n\t0x015B: 1, /* COUNTBLANK */\n\t0x015E: 4, /* ISPMT */\n\t0x015F: 3, /* DATEDIF */\n\t0x0160: 1, /* DATESTRING */\n\t0x0161: 2, /* NUMBERSTRING */\n\t0x0168: 1, /* PHONETIC */\n\t0x0170: 1, /* BAHTTEXT */\n\t0x0171: 1, /* THAIDAYOFWEEK */\n\t0x0172: 1, /* THAIDIGIT */\n\t0x0173: 1, /* THAIMONTHOFYEAR */\n\t0x0174: 1, /* THAINUMSOUND */\n\t0x0175: 1, /* THAINUMSTRING */\n\t0x0176: 1, /* THAISTRINGLENGTH */\n\t0x0177: 1, /* ISTHAIDIGIT */\n\t0x0178: 1, /* ROUNDBAHTDOWN */\n\t0x0179: 1, /* ROUNDBAHTUP */\n\t0x017A: 1, /* THAIYEAR */\n\t0xFFFF: 0\n};\n/* [MS-XLSX] 2.2.3 Functions */\nvar XLSXFutureFunctions = {\n\t\"_xlfn.ACOT\": \"ACOT\",\n\t\"_xlfn.ACOTH\": \"ACOTH\",\n\t\"_xlfn.AGGREGATE\": \"AGGREGATE\",\n\t\"_xlfn.ARABIC\": \"ARABIC\",\n\t\"_xlfn.AVERAGEIF\": \"AVERAGEIF\",\n\t\"_xlfn.AVERAGEIFS\": \"AVERAGEIFS\",\n\t\"_xlfn.BASE\": \"BASE\",\n\t\"_xlfn.BETA.DIST\": \"BETA.DIST\",\n\t\"_xlfn.BETA.INV\": \"BETA.INV\",\n\t\"_xlfn.BINOM.DIST\": \"BINOM.DIST\",\n\t\"_xlfn.BINOM.DIST.RANGE\": \"BINOM.DIST.RANGE\",\n\t\"_xlfn.BINOM.INV\": \"BINOM.INV\",\n\t\"_xlfn.BITAND\": \"BITAND\",\n\t\"_xlfn.BITLSHIFT\": \"BITLSHIFT\",\n\t\"_xlfn.BITOR\": \"BITOR\",\n\t\"_xlfn.BITRSHIFT\": \"BITRSHIFT\",\n\t\"_xlfn.BITXOR\": \"BITXOR\",\n\t\"_xlfn.CEILING.MATH\": \"CEILING.MATH\",\n\t\"_xlfn.CEILING.PRECISE\": \"CEILING.PRECISE\",\n\t\"_xlfn.CHISQ.DIST\": \"CHISQ.DIST\",\n\t\"_xlfn.CHISQ.DIST.RT\": \"CHISQ.DIST.RT\",\n\t\"_xlfn.CHISQ.INV\": \"CHISQ.INV\",\n\t\"_xlfn.CHISQ.INV.RT\": \"CHISQ.INV.RT\",\n\t\"_xlfn.CHISQ.TEST\": \"CHISQ.TEST\",\n\t\"_xlfn.COMBINA\": \"COMBINA\",\n\t\"_xlfn.CONFIDENCE.NORM\": \"CONFIDENCE.NORM\",\n\t\"_xlfn.CONFIDENCE.T\": \"CONFIDENCE.T\",\n\t\"_xlfn.COT\": \"COT\",\n\t\"_xlfn.COTH\": \"COTH\",\n\t\"_xlfn.COUNTIFS\": \"COUNTIFS\",\n\t\"_xlfn.COVARIANCE.P\": \"COVARIANCE.P\",\n\t\"_xlfn.COVARIANCE.S\": \"COVARIANCE.S\",\n\t\"_xlfn.CSC\": \"CSC\",\n\t\"_xlfn.CSCH\": \"CSCH\",\n\t\"_xlfn.DAYS\": \"DAYS\",\n\t\"_xlfn.DECIMAL\": \"DECIMAL\",\n\t\"_xlfn.ECMA.CEILING\": \"ECMA.CEILING\",\n\t\"_xlfn.ERF.PRECISE\": \"ERF.PRECISE\",\n\t\"_xlfn.ERFC.PRECISE\": \"ERFC.PRECISE\",\n\t\"_xlfn.EXPON.DIST\": \"EXPON.DIST\",\n\t\"_xlfn.F.DIST\": \"F.DIST\",\n\t\"_xlfn.F.DIST.RT\": \"F.DIST.RT\",\n\t\"_xlfn.F.INV\": \"F.INV\",\n\t\"_xlfn.F.INV.RT\": \"F.INV.RT\",\n\t\"_xlfn.F.TEST\": \"F.TEST\",\n\t\"_xlfn.FILTERXML\": \"FILTERXML\",\n\t\"_xlfn.FLOOR.MATH\": \"FLOOR.MATH\",\n\t\"_xlfn.FLOOR.PRECISE\": \"FLOOR.PRECISE\",\n\t\"_xlfn.FORMULATEXT\": \"FORMULATEXT\",\n\t\"_xlfn.GAMMA\": \"GAMMA\",\n\t\"_xlfn.GAMMA.DIST\": \"GAMMA.DIST\",\n\t\"_xlfn.GAMMA.INV\": \"GAMMA.INV\",\n\t\"_xlfn.GAMMALN.PRECISE\": \"GAMMALN.PRECISE\",\n\t\"_xlfn.GAUSS\": \"GAUSS\",\n\t\"_xlfn.HYPGEOM.DIST\": \"HYPGEOM.DIST\",\n\t\"_xlfn.IFNA\": \"IFNA\",\n\t\"_xlfn.IFERROR\": \"IFERROR\",\n\t\"_xlfn.IMCOSH\": \"IMCOSH\",\n\t\"_xlfn.IMCOT\": \"IMCOT\",\n\t\"_xlfn.IMCSC\": \"IMCSC\",\n\t\"_xlfn.IMCSCH\": \"IMCSCH\",\n\t\"_xlfn.IMSEC\": \"IMSEC\",\n\t\"_xlfn.IMSECH\": \"IMSECH\",\n\t\"_xlfn.IMSINH\": \"IMSINH\",\n\t\"_xlfn.IMTAN\": \"IMTAN\",\n\t\"_xlfn.ISFORMULA\": \"ISFORMULA\",\n\t\"_xlfn.ISO.CEILING\": \"ISO.CEILING\",\n\t\"_xlfn.ISOWEEKNUM\": \"ISOWEEKNUM\",\n\t\"_xlfn.LOGNORM.DIST\": \"LOGNORM.DIST\",\n\t\"_xlfn.LOGNORM.INV\": \"LOGNORM.INV\",\n\t\"_xlfn.MODE.MULT\": \"MODE.MULT\",\n\t\"_xlfn.MODE.SNGL\": \"MODE.SNGL\",\n\t\"_xlfn.MUNIT\": \"MUNIT\",\n\t\"_xlfn.NEGBINOM.DIST\": \"NEGBINOM.DIST\",\n\t\"_xlfn.NETWORKDAYS.INTL\": \"NETWORKDAYS.INTL\",\n\t\"_xlfn.NIGBINOM\": \"NIGBINOM\",\n\t\"_xlfn.NORM.DIST\": \"NORM.DIST\",\n\t\"_xlfn.NORM.INV\": \"NORM.INV\",\n\t\"_xlfn.NORM.S.DIST\": \"NORM.S.DIST\",\n\t\"_xlfn.NORM.S.INV\": \"NORM.S.INV\",\n\t\"_xlfn.NUMBERVALUE\": \"NUMBERVALUE\",\n\t\"_xlfn.PDURATION\": \"PDURATION\",\n\t\"_xlfn.PERCENTILE.EXC\": \"PERCENTILE.EXC\",\n\t\"_xlfn.PERCENTILE.INC\": \"PERCENTILE.INC\",\n\t\"_xlfn.PERCENTRANK.EXC\": \"PERCENTRANK.EXC\",\n\t\"_xlfn.PERCENTRANK.INC\": \"PERCENTRANK.INC\",\n\t\"_xlfn.PERMUTATIONA\": \"PERMUTATIONA\",\n\t\"_xlfn.PHI\": \"PHI\",\n\t\"_xlfn.POISSON.DIST\": \"POISSON.DIST\",\n\t\"_xlfn.QUARTILE.EXC\": \"QUARTILE.EXC\",\n\t\"_xlfn.QUARTILE.INC\": \"QUARTILE.INC\",\n\t\"_xlfn.QUERYSTRING\": \"QUERYSTRING\",\n\t\"_xlfn.RANK.AVG\": \"RANK.AVG\",\n\t\"_xlfn.RANK.EQ\": \"RANK.EQ\",\n\t\"_xlfn.RRI\": \"RRI\",\n\t\"_xlfn.SEC\": \"SEC\",\n\t\"_xlfn.SECH\": \"SECH\",\n\t\"_xlfn.SHEET\": \"SHEET\",\n\t\"_xlfn.SHEETS\": \"SHEETS\",\n\t\"_xlfn.SKEW.P\": \"SKEW.P\",\n\t\"_xlfn.STDEV.P\": \"STDEV.P\",\n\t\"_xlfn.STDEV.S\": \"STDEV.S\",\n\t\"_xlfn.SUMIFS\": \"SUMIFS\",\n\t\"_xlfn.T.DIST\": \"T.DIST\",\n\t\"_xlfn.T.DIST.2T\": \"T.DIST.2T\",\n\t\"_xlfn.T.DIST.RT\": \"T.DIST.RT\",\n\t\"_xlfn.T.INV\": \"T.INV\",\n\t\"_xlfn.T.INV.2T\": \"T.INV.2T\",\n\t\"_xlfn.T.TEST\": \"T.TEST\",\n\t\"_xlfn.UNICHAR\": \"UNICHAR\",\n\t\"_xlfn.UNICODE\": \"UNICODE\",\n\t\"_xlfn.VAR.P\": \"VAR.P\",\n\t\"_xlfn.VAR.S\": \"VAR.S\",\n\t\"_xlfn.WEBSERVICE\": \"WEBSERVICE\",\n\t\"_xlfn.WEIBULL.DIST\": \"WEIBULL.DIST\",\n\t\"_xlfn.WORKDAY.INTL\": \"WORKDAY.INTL\",\n\t\"_xlfn.XOR\": \"XOR\",\n\t\"_xlfn.Z.TEST\": \"Z.TEST\"\n};\n\nvar strs = {}; // shared strings\nvar _ssfopts = {}; // spreadsheet formatting options\n\nRELS.WS = \"http://schemas.openxmlformats.org/officeDocument/2006/relationships/worksheet\";\n\nfunction get_sst_id(sst, str) {\n\tfor(var i = 0, len = sst.length; i < len; ++i) if(sst[i].t === str) { sst.Count ++; return i; }\n\tsst[len] = {t:str}; sst.Count ++; sst.Unique ++; return len;\n}\n\nfunction get_cell_style(styles, cell, opts) {\n\tvar z = opts.revssf[cell.z != null ? cell.z : \"General\"];\n\tfor(var i = 0, len = styles.length; i != len; ++i) if(styles[i].numFmtId === z) return i;\n\tstyles[len] = {\n\t\tnumFmtId:z,\n\t\tfontId:0,\n\t\tfillId:0,\n\t\tborderId:0,\n\t\txfId:0,\n\t\tapplyNumberFormat:1\n\t};\n\treturn len;\n}\n\nfunction safe_format(p, fmtid, fillid, opts) {\n\ttry {\n\t\tif(p.t === 'e') p.w = p.w || BErr[p.v];\n\t\telse if(fmtid === 0) {\n\t\t\tif(p.t === 'n') {\n\t\t\t\tif((p.v|0) === p.v) p.w = SSF._general_int(p.v,_ssfopts);\n\t\t\t\telse p.w = SSF._general_num(p.v,_ssfopts);\n\t\t\t}\n\t\t\telse if(p.t === 'd') {\n\t\t\t\tvar dd = datenum(p.v);\n\t\t\t\tif((dd|0) === dd) p.w = SSF._general_int(dd,_ssfopts);\n\t\t\t\telse p.w = SSF._general_num(dd,_ssfopts);\n\t\t\t}\n\t\t\telse if(p.v === undefined) return \"\";\n\t\t\telse p.w = SSF._general(p.v,_ssfopts);\n\t\t}\n\t\telse if(p.t === 'd') p.w = SSF.format(fmtid,datenum(p.v),_ssfopts);\n\t\telse p.w = SSF.format(fmtid,p.v,_ssfopts);\n\t\tif(opts.cellNF) p.z = SSF._table[fmtid];\n\t} catch(e) { if(opts.WTF) throw e; }\n\tif(fillid) try {\n\t\tp.s = styles.Fills[fillid];\n\t\tif (p.s.fgColor && p.s.fgColor.theme) {\n\t\t\tp.s.fgColor.rgb = rgb_tint(themes.themeElements.clrScheme[p.s.fgColor.theme].rgb, p.s.fgColor.tint || 0);\n\t\t\tif(opts.WTF) p.s.fgColor.raw_rgb = themes.themeElements.clrScheme[p.s.fgColor.theme].rgb;\n\t\t}\n\t\tif (p.s.bgColor && p.s.bgColor.theme) {\n\t\t\tp.s.bgColor.rgb = rgb_tint(themes.themeElements.clrScheme[p.s.bgColor.theme].rgb, p.s.bgColor.tint || 0);\n\t\t\tif(opts.WTF) p.s.bgColor.raw_rgb = themes.themeElements.clrScheme[p.s.bgColor.theme].rgb;\n\t\t}\n\t} catch(e) { if(opts.WTF) throw e; }\n}\nfunction parse_ws_xml_dim(ws, s) {\n\tvar d = safe_decode_range(s);\n\tif(d.s.r<=d.e.r && d.s.c<=d.e.c && d.s.r>=0 && d.s.c>=0) ws[\"!ref\"] = encode_range(d);\n}\nvar mergecregex = /<mergeCell ref=\"[A-Z0-9:]+\"\\s*\\/>/g;\nvar sheetdataregex = /<(?:\\w+:)?sheetData>([^\\u2603]*)<\\/(?:\\w+:)?sheetData>/;\nvar hlinkregex = /<hyperlink[^>]*\\/>/g;\nvar dimregex = /\"(\\w*:\\w*)\"/;\nvar colregex = /<col[^>]*\\/>/g;\n/* 18.3 Worksheets */\nfunction parse_ws_xml(data, opts, rels) {\n\tif(!data) return data;\n\t/* 18.3.1.99 worksheet CT_Worksheet */\n\tvar s = {};\n\n\t/* 18.3.1.35 dimension CT_SheetDimension ? */\n\tvar ridx = data.indexOf(\"<dimension\");\n\tif(ridx > 0) {\n\t\tvar ref = data.substr(ridx,50).match(dimregex);\n\t\tif(ref != null) parse_ws_xml_dim(s, ref[1]);\n\t}\n\n\t/* 18.3.1.55 mergeCells CT_MergeCells */\n\tvar mergecells = [];\n\tif(data.indexOf(\"</mergeCells>\")!==-1) {\n\t\tvar merges = data.match(mergecregex);\n\t\tfor(ridx = 0; ridx != merges.length; ++ridx)\n\t\t\tmergecells[ridx] = safe_decode_range(merges[ridx].substr(merges[ridx].indexOf(\"\\\"\")+1));\n\t}\n\n\t/* 18.3.1.17 cols CT_Cols */\n\tvar columns = [];\n\tif(opts.cellStyles && data.indexOf(\"</cols>\")!==-1) {\n\t\t/* 18.3.1.13 col CT_Col */\n\t\tvar cols = data.match(colregex);\n\t\tparse_ws_xml_cols(columns, cols);\n\t}\n\n\tvar refguess = {s: {r:1000000, c:1000000}, e: {r:0, c:0} };\n\n\t/* 18.3.1.80 sheetData CT_SheetData ? */\n\tvar mtch=data.match(sheetdataregex);\n\tif(mtch) parse_ws_xml_data(mtch[1], s, opts, refguess);\n\n\t/* 18.3.1.48 hyperlinks CT_Hyperlinks */\n\tif(data.indexOf(\"</hyperlinks>\")!==-1) parse_ws_xml_hlinks(s, data.match(hlinkregex), rels);\n\n\tif(!s[\"!ref\"] && refguess.e.c >= refguess.s.c && refguess.e.r >= refguess.s.r) s[\"!ref\"] = encode_range(refguess);\n\tif(opts.sheetRows > 0 && s[\"!ref\"]) {\n\t\tvar tmpref = safe_decode_range(s[\"!ref\"]);\n\t\tif(opts.sheetRows < +tmpref.e.r) {\n\t\t\ttmpref.e.r = opts.sheetRows - 1;\n\t\t\tif(tmpref.e.r > refguess.e.r) tmpref.e.r = refguess.e.r;\n\t\t\tif(tmpref.e.r < tmpref.s.r) tmpref.s.r = tmpref.e.r;\n\t\t\tif(tmpref.e.c > refguess.e.c) tmpref.e.c = refguess.e.c;\n\t\t\tif(tmpref.e.c < tmpref.s.c) tmpref.s.c = tmpref.e.c;\n\t\t\ts[\"!fullref\"] = s[\"!ref\"];\n\t\t\ts[\"!ref\"] = encode_range(tmpref);\n\t\t}\n\t}\n\tif(mergecells.length > 0) s[\"!merges\"] = mergecells;\n\tif(columns.length > 0) s[\"!cols\"] = columns;\n\treturn s;\n}\n\nfunction write_ws_xml_merges(merges) {\n\tif(merges.length == 0) return \"\";\n\tvar o = '<mergeCells count=\"' + merges.length + '\">';\n\tfor(var i = 0; i != merges.length; ++i) o += '<mergeCell ref=\"' + encode_range(merges[i]) + '\"/>';\n\treturn o + '</mergeCells>';\n}\n\nfunction parse_ws_xml_hlinks(s, data, rels) {\n\tfor(var i = 0; i != data.length; ++i) {\n\t\tvar val = parsexmltag(data[i], true);\n\t\tif(!val.ref) return;\n\t\tvar rel = rels ? rels['!id'][val.id] : null;\n\t\tif(rel) {\n\t\t\tval.Target = rel.Target;\n\t\t\tif(val.location) val.Target += \"#\"+val.location;\n\t\t\tval.Rel = rel;\n\t\t} else {\n\t\t\tval.Target = val.location;\n\t\t\trel = {Target: val.location, TargetMode: 'Internal'};\n\t\t\tval.Rel = rel;\n\t\t}\n\t\tvar rng = safe_decode_range(val.ref);\n\t\tfor(var R=rng.s.r;R<=rng.e.r;++R) for(var C=rng.s.c;C<=rng.e.c;++C) {\n\t\t\tvar addr = encode_cell({c:C,r:R});\n\t\t\tif(!s[addr]) s[addr] = {t:\"stub\",v:undefined};\n\t\t\ts[addr].l = val;\n\t\t}\n\t}\n}\n\nfunction parse_ws_xml_cols(columns, cols) {\n\tvar seencol = false;\n\tfor(var coli = 0; coli != cols.length; ++coli) {\n\t\tvar coll = parsexmltag(cols[coli], true);\n\t\tvar colm=parseInt(coll.min, 10)-1, colM=parseInt(coll.max,10)-1;\n\t\tdelete coll.min; delete coll.max;\n\t\tif(!seencol && coll.width) { seencol = true; find_mdw(+coll.width, coll); }\n\t\tif(coll.width) {\n\t\t\tcoll.wpx = width2px(+coll.width);\n\t\t\tcoll.wch = px2char(coll.wpx);\n\t\t\tcoll.MDW = MDW;\n\t\t}\n\t\twhile(colm <= colM) columns[colm++] = coll;\n\t}\n}\n\nfunction write_ws_xml_cols(ws, cols) {\n\tvar o = [\"<cols>\"], col, width;\n\tfor(var i = 0; i != cols.length; ++i) {\n\t\tif(!(col = cols[i])) continue;\n\t\tvar p = {min:i+1,max:i+1};\n\t\t/* wch (chars), wpx (pixels) */\n\t\twidth = -1;\n\t\tif(col.wpx) width = px2char(col.wpx);\n\t\telse if(col.wch) width = col.wch;\n\t\tif(width > -1) { p.width = char2width(width); p.customWidth= 1; }\n\t\to[o.length] = (writextag('col', null, p));\n\t}\n\to[o.length] = \"</cols>\";\n\treturn o.join(\"\");\n}\n\nfunction write_ws_xml_cell(cell, ref, ws, opts, idx, wb) {\n\tif(cell.v === undefined) return \"\";\n\tvar vv = \"\";\n\tvar oldt = cell.t, oldv = cell.v;\n\tswitch(cell.t) {\n\t\tcase 'b': vv = cell.v ? \"1\" : \"0\"; break;\n\t\tcase 'n': vv = ''+cell.v; break;\n\t\tcase 'e': vv = BErr[cell.v]; break;\n\t\tcase 'd':\n\t\t\tif(opts.cellDates) vv = new Date(cell.v).toISOString();\n\t\t\telse {\n\t\t\t\tcell.t = 'n';\n\t\t\t\tvv = ''+(cell.v = datenum(cell.v));\n\t\t\t\tif(typeof cell.z === 'undefined') cell.z = SSF._table[14];\n\t\t\t}\n\t\t\tbreak;\n\t\tdefault: vv = cell.v; break;\n\t}\n\tvar v = writetag('v', escapexml(vv)), o = {r:ref};\n\t/* TODO: cell style */\n\tvar os = get_cell_style(opts.cellXfs, cell, opts);\n\tif(os !== 0) o.s = os;\n\tswitch(cell.t) {\n\t\tcase 'n': break;\n\t\tcase 'd': o.t = \"d\"; break;\n\t\tcase 'b': o.t = \"b\"; break;\n\t\tcase 'e': o.t = \"e\"; break;\n\t\tdefault:\n\t\t\tif(opts.bookSST) {\n\t\t\t\tv = writetag('v', ''+get_sst_id(opts.Strings, cell.v));\n\t\t\t\to.t = \"s\"; break;\n\t\t\t}\n\t\t\to.t = \"str\"; break;\n\t}\n\tif(cell.t != oldt) { cell.t = oldt; cell.v = oldv; }\n\treturn writextag('c', v, o);\n}\n\nvar parse_ws_xml_data = (function parse_ws_xml_data_factory() {\n\tvar cellregex = /<(?:\\w+:)?c[ >]/, rowregex = /<\\/(?:\\w+:)?row>/;\n\tvar rregex = /r=[\"']([^\"']*)[\"']/, isregex = /<is>([\\S\\s]*?)<\\/is>/;\n\tvar match_v = matchtag(\"v\"), match_f = matchtag(\"f\");\n\nreturn function parse_ws_xml_data(sdata, s, opts, guess) {\n\tvar ri = 0, x = \"\", cells = [], cref = [], idx = 0, i=0, cc=0, d=\"\", p;\n\tvar tag, tagr = 0, tagc = 0;\n\tvar sstr;\n\tvar fmtid = 0, fillid = 0, do_format = Array.isArray(styles.CellXf), cf;\n\tfor(var marr = sdata.split(rowregex), mt = 0, marrlen = marr.length; mt != marrlen; ++mt) {\n\t\tx = marr[mt].trim();\n\t\tvar xlen = x.length;\n\t\tif(xlen === 0) continue;\n\n\t\t/* 18.3.1.73 row CT_Row */\n\t\tfor(ri = 0; ri < xlen; ++ri) if(x.charCodeAt(ri) === 62) break; ++ri;\n\t\ttag = parsexmltag(x.substr(0,ri), true);\n\t\t/* SpreadSheetGear uses implicit r/c */\n\t\ttagr = typeof tag.r !== 'undefined' ? parseInt(tag.r, 10) : tagr+1; tagc = -1;\n\t\tif(opts.sheetRows && opts.sheetRows < tagr) continue;\n\t\tif(guess.s.r > tagr - 1) guess.s.r = tagr - 1;\n\t\tif(guess.e.r < tagr - 1) guess.e.r = tagr - 1;\n\n\t\t/* 18.3.1.4 c CT_Cell */\n\t\tcells = x.substr(ri).split(cellregex);\n\t\tfor(ri = typeof tag.r === 'undefined' ? 0 : 1; ri != cells.length; ++ri) {\n\t\t\tx = cells[ri].trim();\n\t\t\tif(x.length === 0) continue;\n\t\t\tcref = x.match(rregex); idx = ri; i=0; cc=0;\n\t\t\tx = \"<c \" + (x.substr(0,1)==\"<\"?\">\":\"\") + x;\n\t\t\tif(cref !== null && cref.length === 2) {\n\t\t\t\tidx = 0; d=cref[1];\n\t\t\t\tfor(i=0; i != d.length; ++i) {\n\t\t\t\t\tif((cc=d.charCodeAt(i)-64) < 1 || cc > 26) break;\n\t\t\t\t\tidx = 26*idx + cc;\n\t\t\t\t}\n\t\t\t\t--idx;\n\t\t\t\ttagc = idx;\n\t\t\t} else ++tagc;\n\t\t\tfor(i = 0; i != x.length; ++i) if(x.charCodeAt(i) === 62) break; ++i;\n\t\t\ttag = parsexmltag(x.substr(0,i), true);\n\t\t\tif(!tag.r) tag.r = utils.encode_cell({r:tagr-1, c:tagc});\n\t\t\td = x.substr(i);\n\t\t\tp = {t:\"\"};\n\n\t\t\tif((cref=d.match(match_v))!== null && cref[1] !== '') p.v=unescapexml(cref[1]);\n\t\t\tif(opts.cellFormula && (cref=d.match(match_f))!== null) p.f=unescapexml(cref[1]);\n\n\t\t\t/* SCHEMA IS ACTUALLY INCORRECT HERE.  IF A CELL HAS NO T, EMIT \"\" */\n\t\t\tif(tag.t === undefined && p.v === undefined) {\n\t\t\t\tif(!opts.sheetStubs) continue;\n\t\t\t\tp.t = \"stub\";\n\t\t\t}\n\t\t\telse p.t = tag.t || \"n\";\n\t\t\tif(guess.s.c > idx) guess.s.c = idx;\n\t\t\tif(guess.e.c < idx) guess.e.c = idx;\n\t\t\t/* 18.18.11 t ST_CellType */\n\t\t\tswitch(p.t) {\n\t\t\t\tcase 'n': p.v = parseFloat(p.v); break;\n\t\t\t\tcase 's':\n\t\t\t\t\tsstr = strs[parseInt(p.v, 10)];\n\t\t\t\t\tp.v = sstr.t;\n\t\t\t\t\tp.r = sstr.r;\n\t\t\t\t\tif(opts.cellHTML) p.h = sstr.h;\n\t\t\t\t\tbreak;\n\t\t\t\tcase 'str':\n\t\t\t\t\tp.t = \"s\";\n\t\t\t\t\tp.v = (p.v!=null) ? utf8read(p.v) : '';\n\t\t\t\t\tif(opts.cellHTML) p.h = p.v;\n\t\t\t\t\tbreak;\n\t\t\t\tcase 'inlineStr':\n\t\t\t\t\tcref = d.match(isregex);\n\t\t\t\t\tp.t = 's';\n\t\t\t\t\tif(cref !== null) { sstr = parse_si(cref[1]); p.v = sstr.t; } else p.v = \"\";\n\t\t\t\t\tbreak; // inline string\n\t\t\t\tcase 'b': p.v = parsexmlbool(p.v); break;\n\t\t\t\tcase 'd':\n\t\t\t\t\tif(!opts.cellDates) { p.v = datenum(p.v); p.t = 'n'; }\n\t\t\t\t\tbreak;\n\t\t\t\t/* error string in .v, number in .v */\n\t\t\t\tcase 'e': p.w = p.v; p.v = RBErr[p.v]; break;\n\t\t\t}\n\t\t\t/* formatting */\n\t\t\tfmtid = fillid = 0;\n\t\t\tif(do_format && tag.s !== undefined) {\n\t\t\t\tcf = styles.CellXf[tag.s];\n\t\t\t\tif(cf != null) {\n\t\t\t\t\tif(cf.numFmtId != null) fmtid = cf.numFmtId;\n\t\t\t\t\tif(opts.cellStyles && cf.fillId != null) fillid = cf.fillId;\n\t\t\t\t}\n\t\t\t}\n\t\t\tsafe_format(p, fmtid, fillid, opts);\n\t\t\ts[tag.r] = p;\n\t\t}\n\t}\n}; })();\n\nfunction write_ws_xml_data(ws, opts, idx, wb) {\n\tvar o = [], r = [], range = safe_decode_range(ws['!ref']), cell, ref, rr = \"\", cols = [], R, C;\n\tfor(C = range.s.c; C <= range.e.c; ++C) cols[C] = encode_col(C);\n\tfor(R = range.s.r; R <= range.e.r; ++R) {\n\t\tr = [];\n\t\trr = encode_row(R);\n\t\tfor(C = range.s.c; C <= range.e.c; ++C) {\n\t\t\tref = cols[C] + rr;\n\t\t\tif(ws[ref] === undefined) continue;\n\t\t\tif((cell = write_ws_xml_cell(ws[ref], ref, ws, opts, idx, wb)) != null) r.push(cell);\n\t\t}\n\t\tif(r.length > 0) o[o.length] = (writextag('row', r.join(\"\"), {r:rr}));\n\t}\n\treturn o.join(\"\");\n}\n\nvar WS_XML_ROOT = writextag('worksheet', null, {\n\t'xmlns': XMLNS.main[0],\n\t'xmlns:r': XMLNS.r\n});\n\nfunction write_ws_xml(idx, opts, wb) {\n\tvar o = [XML_HEADER, WS_XML_ROOT];\n\tvar s = wb.SheetNames[idx], sidx = 0, rdata = \"\";\n\tvar ws = wb.Sheets[s];\n\tif(ws === undefined) ws = {};\n\tvar ref = ws['!ref']; if(ref === undefined) ref = 'A1';\n\to[o.length] = (writextag('dimension', null, {'ref': ref}));\n\n\tif(ws['!cols'] !== undefined && ws['!cols'].length > 0) o[o.length] = (write_ws_xml_cols(ws, ws['!cols']));\n\to[sidx = o.length] = '<sheetData/>';\n\tif(ws['!ref'] !== undefined) {\n\t\trdata = write_ws_xml_data(ws, opts, idx, wb);\n\t\tif(rdata.length > 0) o[o.length] = (rdata);\n\t}\n\tif(o.length>sidx+1) { o[o.length] = ('</sheetData>'); o[sidx]=o[sidx].replace(\"/>\",\">\"); }\n\n\tif(ws['!merges'] !== undefined && ws['!merges'].length > 0) o[o.length] = (write_ws_xml_merges(ws['!merges']));\n\n\tif(o.length>2) { o[o.length] = ('</worksheet>'); o[1]=o[1].replace(\"/>\",\">\"); }\n\treturn o.join(\"\");\n}\n\n/* [MS-XLSB] 2.4.718 BrtRowHdr */\nfunction parse_BrtRowHdr(data, length) {\n\tvar z = [];\n\tz.r = data.read_shift(4);\n\tdata.l += length-4;\n\treturn z;\n}\n\n/* [MS-XLSB] 2.4.812 BrtWsDim */\nvar parse_BrtWsDim = parse_UncheckedRfX;\nvar write_BrtWsDim = write_UncheckedRfX;\n\n/* [MS-XLSB] 2.4.815 BrtWsProp */\nfunction parse_BrtWsProp(data, length) {\n\tvar z = {};\n\t/* TODO: pull flags */\n\tdata.l += 19;\n\tz.name = parse_XLSBCodeName(data, length - 19);\n\treturn z;\n}\n\n/* [MS-XLSB] 2.4.303 BrtCellBlank */\nfunction parse_BrtCellBlank(data, length) {\n\tvar cell = parse_XLSBCell(data);\n\treturn [cell];\n}\nfunction write_BrtCellBlank(cell, val, o) {\n\tif(o == null) o = new_buf(8);\n\treturn write_XLSBCell(val, o);\n}\n\n\n/* [MS-XLSB] 2.4.304 BrtCellBool */\nfunction parse_BrtCellBool(data, length) {\n\tvar cell = parse_XLSBCell(data);\n\tvar fBool = data.read_shift(1);\n\treturn [cell, fBool, 'b'];\n}\n\n/* [MS-XLSB] 2.4.305 BrtCellError */\nfunction parse_BrtCellError(data, length) {\n\tvar cell = parse_XLSBCell(data);\n\tvar fBool = data.read_shift(1);\n\treturn [cell, fBool, 'e'];\n}\n\n/* [MS-XLSB] 2.4.308 BrtCellIsst */\nfunction parse_BrtCellIsst(data, length) {\n\tvar cell = parse_XLSBCell(data);\n\tvar isst = data.read_shift(4);\n\treturn [cell, isst, 's'];\n}\n\n/* [MS-XLSB] 2.4.310 BrtCellReal */\nfunction parse_BrtCellReal(data, length) {\n\tvar cell = parse_XLSBCell(data);\n\tvar value = parse_Xnum(data);\n\treturn [cell, value, 'n'];\n}\n\n/* [MS-XLSB] 2.4.311 BrtCellRk */\nfunction parse_BrtCellRk(data, length) {\n\tvar cell = parse_XLSBCell(data);\n\tvar value = parse_RkNumber(data);\n\treturn [cell, value, 'n'];\n}\n\n/* [MS-XLSB] 2.4.314 BrtCellSt */\nfunction parse_BrtCellSt(data, length) {\n\tvar cell = parse_XLSBCell(data);\n\tvar value = parse_XLWideString(data);\n\treturn [cell, value, 'str'];\n}\n\n/* [MS-XLSB] 2.4.647 BrtFmlaBool */\nfunction parse_BrtFmlaBool(data, length, opts) {\n\tvar cell = parse_XLSBCell(data);\n\tvar value = data.read_shift(1);\n\tvar o = [cell, value, 'b'];\n\tif(opts.cellFormula) {\n\t\tvar formula = parse_XLSBCellParsedFormula(data, length-9);\n\t\to[3] = \"\"; /* TODO */\n\t}\n\telse data.l += length-9;\n\treturn o;\n}\n\n/* [MS-XLSB] 2.4.648 BrtFmlaError */\nfunction parse_BrtFmlaError(data, length, opts) {\n\tvar cell = parse_XLSBCell(data);\n\tvar value = data.read_shift(1);\n\tvar o = [cell, value, 'e'];\n\tif(opts.cellFormula) {\n\t\tvar formula = parse_XLSBCellParsedFormula(data, length-9);\n\t\to[3] = \"\"; /* TODO */\n\t}\n\telse data.l += length-9;\n\treturn o;\n}\n\n/* [MS-XLSB] 2.4.649 BrtFmlaNum */\nfunction parse_BrtFmlaNum(data, length, opts) {\n\tvar cell = parse_XLSBCell(data);\n\tvar value = parse_Xnum(data);\n\tvar o = [cell, value, 'n'];\n\tif(opts.cellFormula) {\n\t\tvar formula = parse_XLSBCellParsedFormula(data, length - 16);\n\t\to[3] = \"\"; /* TODO */\n\t}\n\telse data.l += length-16;\n\treturn o;\n}\n\n/* [MS-XLSB] 2.4.650 BrtFmlaString */\nfunction parse_BrtFmlaString(data, length, opts) {\n\tvar start = data.l;\n\tvar cell = parse_XLSBCell(data);\n\tvar value = parse_XLWideString(data);\n\tvar o = [cell, value, 'str'];\n\tif(opts.cellFormula) {\n\t\tvar formula = parse_XLSBCellParsedFormula(data, start + length - data.l);\n\t}\n\telse data.l = start + length;\n\treturn o;\n}\n\n/* [MS-XLSB] 2.4.676 BrtMergeCell */\nvar parse_BrtMergeCell = parse_UncheckedRfX;\n\n/* [MS-XLSB] 2.4.656 BrtHLink */\nfunction parse_BrtHLink(data, length, opts) {\n\tvar end = data.l + length;\n\tvar rfx = parse_UncheckedRfX(data, 16);\n\tvar relId = parse_XLNullableWideString(data);\n\tvar loc = parse_XLWideString(data);\n\tvar tooltip = parse_XLWideString(data);\n\tvar display = parse_XLWideString(data);\n\tdata.l = end;\n\treturn {rfx:rfx, relId:relId, loc:loc, tooltip:tooltip, display:display};\n}\n\n/* [MS-XLSB] 2.1.7.61 Worksheet */\nfunction parse_ws_bin(data, opts, rels) {\n\tif(!data) return data;\n\tif(!rels) rels = {'!id':{}};\n\tvar s = {};\n\n\tvar ref;\n\tvar refguess = {s: {r:1000000, c:1000000}, e: {r:0, c:0} };\n\n\tvar pass = false, end = false;\n\tvar row, p, cf, R, C, addr, sstr, rr;\n\tvar mergecells = [];\n\trecordhopper(data, function ws_parse(val, R) {\n\t\tif(end) return;\n\t\tswitch(R.n) {\n\t\t\tcase 'BrtWsDim': ref = val; break;\n\t\t\tcase 'BrtRowHdr':\n\t\t\t\trow = val;\n\t\t\t\tif(opts.sheetRows && opts.sheetRows <= row.r) end=true;\n\t\t\t\trr = encode_row(row.r);\n\t\t\t\tbreak;\n\n\t\t\tcase 'BrtFmlaBool':\n\t\t\tcase 'BrtFmlaError':\n\t\t\tcase 'BrtFmlaNum':\n\t\t\tcase 'BrtFmlaString':\n\t\t\tcase 'BrtCellBool':\n\t\t\tcase 'BrtCellError':\n\t\t\tcase 'BrtCellIsst':\n\t\t\tcase 'BrtCellReal':\n\t\t\tcase 'BrtCellRk':\n\t\t\tcase 'BrtCellSt':\n\t\t\t\tp = {t:val[2]};\n\t\t\t\tswitch(val[2]) {\n\t\t\t\t\tcase 'n': p.v = val[1]; break;\n\t\t\t\t\tcase 's': sstr = strs[val[1]]; p.v = sstr.t; p.r = sstr.r; break;\n\t\t\t\t\tcase 'b': p.v = val[1] ? true : false; break;\n\t\t\t\t\tcase 'e': p.v = val[1]; p.w = BErr[p.v]; break;\n\t\t\t\t\tcase 'str': p.t = 's'; p.v = utf8read(val[1]); break;\n\t\t\t\t}\n\t\t\t\tif(opts.cellFormula && val.length > 3) p.f = val[3];\n\t\t\t\tif((cf = styles.CellXf[val[0].iStyleRef])) safe_format(p,cf.ifmt,null,opts);\n\t\t\t\ts[encode_col(C=val[0].c) + rr] = p;\n\t\t\t\tif(refguess.s.r > row.r) refguess.s.r = row.r;\n\t\t\t\tif(refguess.s.c > C) refguess.s.c = C;\n\t\t\t\tif(refguess.e.r < row.r) refguess.e.r = row.r;\n\t\t\t\tif(refguess.e.c < C) refguess.e.c = C;\n\t\t\t\tbreak;\n\n\t\t\tcase 'BrtCellBlank': if(!opts.sheetStubs) break;\n\t\t\t\tp = {t:'s',v:undefined};\n\t\t\t\ts[encode_col(C=val[0].c) + rr] = p;\n\t\t\t\tif(refguess.s.r > row.r) refguess.s.r = row.r;\n\t\t\t\tif(refguess.s.c > C) refguess.s.c = C;\n\t\t\t\tif(refguess.e.r < row.r) refguess.e.r = row.r;\n\t\t\t\tif(refguess.e.c < C) refguess.e.c = C;\n\t\t\t\tbreak;\n\n\t\t\t/* Merge Cells */\n\t\t\tcase 'BrtBeginMergeCells': break;\n\t\t\tcase 'BrtEndMergeCells': break;\n\t\t\tcase 'BrtMergeCell': mergecells.push(val); break;\n\n\t\t\tcase 'BrtHLink':\n\t\t\t\tvar rel = rels['!id'][val.relId];\n\t\t\t\tif(rel) {\n\t\t\t\t\tval.Target = rel.Target;\n\t\t\t\t\tif(val.loc) val.Target += \"#\"+val.loc;\n\t\t\t\t\tval.Rel = rel;\n\t\t\t\t}\n\t\t\t\tfor(R=val.rfx.s.r;R<=val.rfx.e.r;++R) for(C=val.rfx.s.c;C<=val.rfx.e.c;++C) {\n\t\t\t\t\taddr = encode_cell({c:C,r:R});\n\t\t\t\t\tif(!s[addr]) s[addr] = {t:'s',v:undefined};\n\t\t\t\t\ts[addr].l = val;\n\t\t\t\t}\n\t\t\t\tbreak;\n\n\t\t\tcase 'BrtArrFmla': break; // TODO\n\t\t\tcase 'BrtShrFmla': break; // TODO\n\t\t\tcase 'BrtBeginSheet': break;\n\t\t\tcase 'BrtWsProp': break; // TODO\n\t\t\tcase 'BrtSheetCalcProp': break; // TODO\n\t\t\tcase 'BrtBeginWsViews': break; // TODO\n\t\t\tcase 'BrtBeginWsView': break; // TODO\n\t\t\tcase 'BrtPane': break; // TODO\n\t\t\tcase 'BrtSel': break; // TODO\n\t\t\tcase 'BrtEndWsView': break; // TODO\n\t\t\tcase 'BrtEndWsViews': break; // TODO\n\t\t\tcase 'BrtACBegin': break; // TODO\n\t\t\tcase 'BrtRwDescent': break; // TODO\n\t\t\tcase 'BrtACEnd': break; // TODO\n\t\t\tcase 'BrtWsFmtInfoEx14': break; // TODO\n\t\t\tcase 'BrtWsFmtInfo': break; // TODO\n\t\t\tcase 'BrtBeginColInfos': break; // TODO\n\t\t\tcase 'BrtColInfo': break; // TODO\n\t\t\tcase 'BrtEndColInfos': break; // TODO\n\t\t\tcase 'BrtBeginSheetData': break; // TODO\n\t\t\tcase 'BrtEndSheetData': break; // TODO\n\t\t\tcase 'BrtSheetProtection': break; // TODO\n\t\t\tcase 'BrtPrintOptions': break; // TODO\n\t\t\tcase 'BrtMargins': break; // TODO\n\t\t\tcase 'BrtPageSetup': break; // TODO\n\t\t\tcase 'BrtFRTBegin': pass = true; break;\n\t\t\tcase 'BrtFRTEnd': pass = false; break;\n\t\t\tcase 'BrtEndSheet': break; // TODO\n\t\t\tcase 'BrtDrawing': break; // TODO\n\t\t\tcase 'BrtLegacyDrawing': break; // TODO\n\t\t\tcase 'BrtLegacyDrawingHF': break; // TODO\n\t\t\tcase 'BrtPhoneticInfo': break; // TODO\n\t\t\tcase 'BrtBeginHeaderFooter': break; // TODO\n\t\t\tcase 'BrtEndHeaderFooter': break; // TODO\n\t\t\tcase 'BrtBrk': break; // TODO\n\t\t\tcase 'BrtBeginRwBrk': break; // TODO\n\t\t\tcase 'BrtEndRwBrk': break; // TODO\n\t\t\tcase 'BrtBeginColBrk': break; // TODO\n\t\t\tcase 'BrtEndColBrk': break; // TODO\n\t\t\tcase 'BrtBeginUserShViews': break; // TODO\n\t\t\tcase 'BrtBeginUserShView': break; // TODO\n\t\t\tcase 'BrtEndUserShView': break; // TODO\n\t\t\tcase 'BrtEndUserShViews': break; // TODO\n\t\t\tcase 'BrtBkHim': break; // TODO\n\t\t\tcase 'BrtBeginOleObjects': break; // TODO\n\t\t\tcase 'BrtOleObject': break; // TODO\n\t\t\tcase 'BrtEndOleObjects': break; // TODO\n\t\t\tcase 'BrtBeginListParts': break; // TODO\n\t\t\tcase 'BrtListPart': break; // TODO\n\t\t\tcase 'BrtEndListParts': break; // TODO\n\t\t\tcase 'BrtBeginSortState': break; // TODO\n\t\t\tcase 'BrtBeginSortCond': break; // TODO\n\t\t\tcase 'BrtEndSortCond': break; // TODO\n\t\t\tcase 'BrtEndSortState': break; // TODO\n\t\t\tcase 'BrtBeginConditionalFormatting': break; // TODO\n\t\t\tcase 'BrtEndConditionalFormatting': break; // TODO\n\t\t\tcase 'BrtBeginCFRule': break; // TODO\n\t\t\tcase 'BrtEndCFRule': break; // TODO\n\t\t\tcase 'BrtBeginDVals': break; // TODO\n\t\t\tcase 'BrtDVal': break; // TODO\n\t\t\tcase 'BrtEndDVals': break; // TODO\n\t\t\tcase 'BrtRangeProtection': break; // TODO\n\t\t\tcase 'BrtBeginDCon': break; // TODO\n\t\t\tcase 'BrtEndDCon': break; // TODO\n\t\t\tcase 'BrtBeginDRefs': break;\n\t\t\tcase 'BrtDRef': break;\n\t\t\tcase 'BrtEndDRefs': break;\n\n\t\t\t/* ActiveX */\n\t\t\tcase 'BrtBeginActiveXControls': break;\n\t\t\tcase 'BrtActiveX': break;\n\t\t\tcase 'BrtEndActiveXControls': break;\n\n\t\t\t/* AutoFilter */\n\t\t\tcase 'BrtBeginAFilter': break;\n\t\t\tcase 'BrtEndAFilter': break;\n\t\t\tcase 'BrtBeginFilterColumn': break;\n\t\t\tcase 'BrtBeginFilters': break;\n\t\t\tcase 'BrtFilter': break;\n\t\t\tcase 'BrtEndFilters': break;\n\t\t\tcase 'BrtEndFilterColumn': break;\n\t\t\tcase 'BrtDynamicFilter': break;\n\t\t\tcase 'BrtTop10Filter': break;\n\t\t\tcase 'BrtBeginCustomFilters': break;\n\t\t\tcase 'BrtCustomFilter': break;\n\t\t\tcase 'BrtEndCustomFilters': break;\n\n\t\t\t/* Smart Tags */\n\t\t\tcase 'BrtBeginSmartTags': break;\n\t\t\tcase 'BrtBeginCellSmartTags': break;\n\t\t\tcase 'BrtBeginCellSmartTag': break;\n\t\t\tcase 'BrtCellSmartTagProperty': break;\n\t\t\tcase 'BrtEndCellSmartTag': break;\n\t\t\tcase 'BrtEndCellSmartTags': break;\n\t\t\tcase 'BrtEndSmartTags': break;\n\n\t\t\t/* Cell Watch */\n\t\t\tcase 'BrtBeginCellWatches': break;\n\t\t\tcase 'BrtCellWatch': break;\n\t\t\tcase 'BrtEndCellWatches': break;\n\n\t\t\t/* Table */\n\t\t\tcase 'BrtTable': break;\n\n\t\t\t/* Ignore Cell Errors */\n\t\t\tcase 'BrtBeginCellIgnoreECs': break;\n\t\t\tcase 'BrtCellIgnoreEC': break;\n\t\t\tcase 'BrtEndCellIgnoreECs': break;\n\n\t\t\tdefault: if(!pass || opts.WTF) throw new Error(\"Unexpected record \" + R.n);\n\t\t}\n\t}, opts);\n\tif(!s[\"!ref\"] && (refguess.s.r < 1000000 || ref.e.r > 0 || ref.e.c > 0 || ref.s.r > 0 || ref.s.c > 0)) s[\"!ref\"] = encode_range(ref);\n\tif(opts.sheetRows && s[\"!ref\"]) {\n\t\tvar tmpref = safe_decode_range(s[\"!ref\"]);\n\t\tif(opts.sheetRows < +tmpref.e.r) {\n\t\t\ttmpref.e.r = opts.sheetRows - 1;\n\t\t\tif(tmpref.e.r > refguess.e.r) tmpref.e.r = refguess.e.r;\n\t\t\tif(tmpref.e.r < tmpref.s.r) tmpref.s.r = tmpref.e.r;\n\t\t\tif(tmpref.e.c > refguess.e.c) tmpref.e.c = refguess.e.c;\n\t\t\tif(tmpref.e.c < tmpref.s.c) tmpref.s.c = tmpref.e.c;\n\t\t\ts[\"!fullref\"] = s[\"!ref\"];\n\t\t\ts[\"!ref\"] = encode_range(tmpref);\n\t\t}\n\t}\n\tif(mergecells.length > 0) s[\"!merges\"] = mergecells;\n\treturn s;\n}\n\n/* TODO: something useful -- this is a stub */\nfunction write_ws_bin_cell(ba, cell, R, C, opts) {\n\tif(cell.v === undefined) return \"\";\n\tvar vv = \"\";\n\tswitch(cell.t) {\n\t\tcase 'b': vv = cell.v ? \"1\" : \"0\"; break;\n\t\tcase 'n': case 'e': vv = ''+cell.v; break;\n\t\tdefault: vv = cell.v; break;\n\t}\n\tvar o = {r:R, c:C};\n\t/* TODO: cell style */\n\to.s = get_cell_style(opts.cellXfs, cell, opts);\n\tswitch(cell.t) {\n\t\tcase 's': case 'str':\n\t\t\tif(opts.bookSST) {\n\t\t\t\tvv = get_sst_id(opts.Strings, cell.v);\n\t\t\t\to.t = \"s\"; break;\n\t\t\t}\n\t\t\to.t = \"str\"; break;\n\t\tcase 'n': break;\n\t\tcase 'b': o.t = \"b\"; break;\n\t\tcase 'e': o.t = \"e\"; break;\n\t}\n\twrite_record(ba, \"BrtCellBlank\", write_BrtCellBlank(cell, o));\n}\n\nfunction write_CELLTABLE(ba, ws, idx, opts, wb) {\n\tvar range = safe_decode_range(ws['!ref'] || \"A1\"), ref, rr = \"\", cols = [];\n\twrite_record(ba, 'BrtBeginSheetData');\n\tfor(var R = range.s.r; R <= range.e.r; ++R) {\n\t\trr = encode_row(R);\n\t\t/* [ACCELLTABLE] */\n\t\t/* BrtRowHdr */\n\t\tfor(var C = range.s.c; C <= range.e.c; ++C) {\n\t\t\t/* *16384CELL */\n\t\t\tif(R === range.s.r) cols[C] = encode_col(C);\n\t\t\tref = cols[C] + rr;\n\t\t\tif(!ws[ref]) continue;\n\t\t\t/* write cell */\n\t\t\twrite_ws_bin_cell(ba, ws[ref], R, C, opts);\n\t\t}\n\t}\n\twrite_record(ba, 'BrtEndSheetData');\n}\n\nfunction write_ws_bin(idx, opts, wb) {\n\tvar ba = buf_array();\n\tvar s = wb.SheetNames[idx], ws = wb.Sheets[s] || {};\n\tvar r = safe_decode_range(ws['!ref'] || \"A1\");\n\twrite_record(ba, \"BrtBeginSheet\");\n\t/* [BrtWsProp] */\n\twrite_record(ba, \"BrtWsDim\", write_BrtWsDim(r));\n\t/* [WSVIEWS2] */\n\t/* [WSFMTINFO] */\n\t/* *COLINFOS */\n\twrite_CELLTABLE(ba, ws, idx, opts, wb);\n\t/* [BrtSheetCalcProp] */\n\t/* [[BrtSheetProtectionIso] BrtSheetProtection] */\n\t/* *([BrtRangeProtectionIso] BrtRangeProtection) */\n\t/* [SCENMAN] */\n\t/* [AUTOFILTER] */\n\t/* [SORTSTATE] */\n\t/* [DCON] */\n\t/* [USERSHVIEWS] */\n\t/* [MERGECELLS] */\n\t/* [BrtPhoneticInfo] */\n\t/* *CONDITIONALFORMATTING */\n\t/* [DVALS] */\n\t/* *BrtHLink */\n\t/* [BrtPrintOptions] */\n\t/* [BrtMargins] */\n\t/* [BrtPageSetup] */\n\t/* [HEADERFOOTER] */\n\t/* [RWBRK] */\n\t/* [COLBRK] */\n\t/* *BrtBigName */\n\t/* [CELLWATCHES] */\n\t/* [IGNOREECS] */\n\t/* [SMARTTAGS] */\n\t/* [BrtDrawing] */\n\t/* [BrtLegacyDrawing] */\n\t/* [BrtLegacyDrawingHF] */\n\t/* [BrtBkHim] */\n\t/* [OLEOBJECTS] */\n\t/* [ACTIVEXCONTROLS] */\n\t/* [WEBPUBITEMS] */\n\t/* [LISTPARTS] */\n\t/* FRTWORKSHEET */\n\twrite_record(ba, \"BrtEndSheet\");\n\treturn ba.end();\n}\n/* 18.2.28 (CT_WorkbookProtection) Defaults */\nvar WBPropsDef = [\n\t['allowRefreshQuery', '0'],\n\t['autoCompressPictures', '1'],\n\t['backupFile', '0'],\n\t['checkCompatibility', '0'],\n\t['codeName', ''],\n\t['date1904', '0'],\n\t['dateCompatibility', '1'],\n\t//['defaultThemeVersion', '0'],\n\t['filterPrivacy', '0'],\n\t['hidePivotFieldList', '0'],\n\t['promptedSolutions', '0'],\n\t['publishItems', '0'],\n\t['refreshAllConnections', false],\n\t['saveExternalLinkValues', '1'],\n\t['showBorderUnselectedTables', '1'],\n\t['showInkAnnotation', '1'],\n\t['showObjects', 'all'],\n\t['showPivotChartFilter', '0']\n\t//['updateLinks', 'userSet']\n];\n\n/* 18.2.30 (CT_BookView) Defaults */\nvar WBViewDef = [\n\t['activeTab', '0'],\n\t['autoFilterDateGrouping', '1'],\n\t['firstSheet', '0'],\n\t['minimized', '0'],\n\t['showHorizontalScroll', '1'],\n\t['showSheetTabs', '1'],\n\t['showVerticalScroll', '1'],\n\t['tabRatio', '600'],\n\t['visibility', 'visible']\n\t//window{Height,Width}, {x,y}Window\n];\n\n/* 18.2.19 (CT_Sheet) Defaults */\nvar SheetDef = [\n\t['state', 'visible']\n];\n\n/* 18.2.2  (CT_CalcPr) Defaults */\nvar CalcPrDef = [\n\t['calcCompleted', 'true'],\n\t['calcMode', 'auto'],\n\t['calcOnSave', 'true'],\n\t['concurrentCalc', 'true'],\n\t['fullCalcOnLoad', 'false'],\n\t['fullPrecision', 'true'],\n\t['iterate', 'false'],\n\t['iterateCount', '100'],\n\t['iterateDelta', '0.001'],\n\t['refMode', 'A1']\n];\n\n/* 18.2.3 (CT_CustomWorkbookView) Defaults */\nvar CustomWBViewDef = [\n\t['autoUpdate', 'false'],\n\t['changesSavedWin', 'false'],\n\t['includeHiddenRowCol', 'true'],\n\t['includePrintSettings', 'true'],\n\t['maximized', 'false'],\n\t['minimized', 'false'],\n\t['onlySync', 'false'],\n\t['personalView', 'false'],\n\t['showComments', 'commIndicator'],\n\t['showFormulaBar', 'true'],\n\t['showHorizontalScroll', 'true'],\n\t['showObjects', 'all'],\n\t['showSheetTabs', 'true'],\n\t['showStatusbar', 'true'],\n\t['showVerticalScroll', 'true'],\n\t['tabRatio', '600'],\n\t['xWindow', '0'],\n\t['yWindow', '0']\n];\n\nfunction push_defaults_array(target, defaults) {\n\tfor(var j = 0; j != target.length; ++j) { var w = target[j];\n\t\tfor(var i=0; i != defaults.length; ++i) { var z = defaults[i];\n\t\t\tif(w[z[0]] == null) w[z[0]] = z[1];\n\t\t}\n\t}\n}\nfunction push_defaults(target, defaults) {\n\tfor(var i = 0; i != defaults.length; ++i) { var z = defaults[i];\n\t\tif(target[z[0]] == null) target[z[0]] = z[1];\n\t}\n}\n\nfunction parse_wb_defaults(wb) {\n\tpush_defaults(wb.WBProps, WBPropsDef);\n\tpush_defaults(wb.CalcPr, CalcPrDef);\n\n\tpush_defaults_array(wb.WBView, WBViewDef);\n\tpush_defaults_array(wb.Sheets, SheetDef);\n\n\t_ssfopts.date1904 = parsexmlbool(wb.WBProps.date1904, 'date1904');\n}\n/* 18.2 Workbook */\nvar wbnsregex = /<\\w+:workbook/;\nfunction parse_wb_xml(data, opts) {\n\tvar wb = { AppVersion:{}, WBProps:{}, WBView:[], Sheets:[], CalcPr:{}, xmlns: \"\" };\n\tvar pass = false, xmlns = \"xmlns\";\n\tdata.match(tagregex).forEach(function xml_wb(x) {\n\t\tvar y = parsexmltag(x);\n\t\tswitch(strip_ns(y[0])) {\n\t\t\tcase '<?xml': break;\n\n\t\t\t/* 18.2.27 workbook CT_Workbook 1 */\n\t\t\tcase '<workbook':\n\t\t\t\tif(x.match(wbnsregex)) xmlns = \"xmlns\" + x.match(/<(\\w+):/)[1];\n\t\t\t\twb.xmlns = y[xmlns];\n\t\t\t\tbreak;\n\t\t\tcase '</workbook>': break;\n\n\t\t\t/* 18.2.13 fileVersion CT_FileVersion ? */\n\t\t\tcase '<fileVersion': delete y[0]; wb.AppVersion = y; break;\n\t\t\tcase '<fileVersion/>': break;\n\n\t\t\t/* 18.2.12 fileSharing CT_FileSharing ? */\n\t\t\tcase '<fileSharing': case '<fileSharing/>': break;\n\n\t\t\t/* 18.2.28 workbookPr CT_WorkbookPr ? */\n\t\t\tcase '<workbookPr': delete y[0]; wb.WBProps = y; break;\n\t\t\tcase '<workbookPr/>': delete y[0]; wb.WBProps = y; break;\n\n\t\t\t/* 18.2.29 workbookProtection CT_WorkbookProtection ? */\n\t\t\tcase '<workbookProtection': break;\n\t\t\tcase '<workbookProtection/>': break;\n\n\t\t\t/* 18.2.1  bookViews CT_BookViews ? */\n\t\t\tcase '<bookViews>': case '</bookViews>': break;\n\t\t\t/* 18.2.30   workbookView CT_BookView + */\n\t\t\tcase '<workbookView': delete y[0]; wb.WBView.push(y); break;\n\n\t\t\t/* 18.2.20 sheets CT_Sheets 1 */\n\t\t\tcase '<sheets>': case '</sheets>': break; // aggregate sheet\n\t\t\t/* 18.2.19   sheet CT_Sheet + */\n\t\t\tcase '<sheet': delete y[0]; y.name = utf8read(y.name); wb.Sheets.push(y); break;\n\n\t\t\t/* 18.2.15 functionGroups CT_FunctionGroups ? */\n\t\t\tcase '<functionGroups': case '<functionGroups/>': break;\n\t\t\t/* 18.2.14   functionGroup CT_FunctionGroup + */\n\t\t\tcase '<functionGroup': break;\n\n\t\t\t/* 18.2.9  externalReferences CT_ExternalReferences ? */\n\t\t\tcase '<externalReferences': case '</externalReferences>': case '<externalReferences>': break;\n\t\t\t/* 18.2.8    externalReference CT_ExternalReference + */\n\t\t\tcase '<externalReference': break;\n\n\t\t\t/* 18.2.6  definedNames CT_DefinedNames ? */\n\t\t\tcase '<definedNames/>': break;\n\t\t\tcase '<definedNames>': case '<definedNames': pass=true; break;\n\t\t\tcase '</definedNames>': pass=false; break;\n\t\t\t/* 18.2.5    definedName CT_DefinedName + */\n\t\t\tcase '<definedName': case '<definedName/>': case '</definedName>': break;\n\n\t\t\t/* 18.2.2  calcPr CT_CalcPr ? */\n\t\t\tcase '<calcPr': delete y[0]; wb.CalcPr = y; break;\n\t\t\tcase '<calcPr/>': delete y[0]; wb.CalcPr = y; break;\n\n\t\t\t/* 18.2.16 oleSize CT_OleSize ? (ref required) */\n\t\t\tcase '<oleSize': break;\n\n\t\t\t/* 18.2.4  customWorkbookViews CT_CustomWorkbookViews ? */\n\t\t\tcase '<customWorkbookViews>': case '</customWorkbookViews>': case '<customWorkbookViews': break;\n\t\t\t/* 18.2.3    customWorkbookView CT_CustomWorkbookView + */\n\t\t\tcase '<customWorkbookView': case '</customWorkbookView>': break;\n\n\t\t\t/* 18.2.18 pivotCaches CT_PivotCaches ? */\n\t\t\tcase '<pivotCaches>': case '</pivotCaches>': case '<pivotCaches': break;\n\t\t\t/* 18.2.17 pivotCache CT_PivotCache ? */\n\t\t\tcase '<pivotCache': break;\n\n\t\t\t/* 18.2.21 smartTagPr CT_SmartTagPr ? */\n\t\t\tcase '<smartTagPr': case '<smartTagPr/>': break;\n\n\t\t\t/* 18.2.23 smartTagTypes CT_SmartTagTypes ? */\n\t\t\tcase '<smartTagTypes': case '<smartTagTypes>': case '</smartTagTypes>': break;\n\t\t\t/* 18.2.22   smartTagType CT_SmartTagType ? */\n\t\t\tcase '<smartTagType': break;\n\n\t\t\t/* 18.2.24 webPublishing CT_WebPublishing ? */\n\t\t\tcase '<webPublishing': case '<webPublishing/>': break;\n\n\t\t\t/* 18.2.11 fileRecoveryPr CT_FileRecoveryPr ? */\n\t\t\tcase '<fileRecoveryPr': case '<fileRecoveryPr/>': break;\n\n\t\t\t/* 18.2.26 webPublishObjects CT_WebPublishObjects ? */\n\t\t\tcase '<webPublishObjects>': case '<webPublishObjects': case '</webPublishObjects>': break;\n\t\t\t/* 18.2.25 webPublishObject CT_WebPublishObject ? */\n\t\t\tcase '<webPublishObject': break;\n\n\t\t\t/* 18.2.10 extLst CT_ExtensionList ? */\n\t\t\tcase '<extLst>': case '</extLst>': case '<extLst/>': break;\n\t\t\t/* 18.2.7    ext CT_Extension + */\n\t\t\tcase '<ext': pass=true; break; //TODO: check with versions of excel\n\t\t\tcase '</ext>': pass=false; break;\n\n\t\t\t/* Others */\n\t\t\tcase '<ArchID': break;\n\t\t\tcase '<AlternateContent': pass=true; break;\n\t\t\tcase '</AlternateContent>': pass=false; break;\n\n\t\t\tdefault: if(!pass && opts.WTF) throw 'unrecognized ' + y[0] + ' in workbook';\n\t\t}\n\t});\n\tif(XMLNS.main.indexOf(wb.xmlns) === -1) throw new Error(\"Unknown Namespace: \" + wb.xmlns);\n\n\tparse_wb_defaults(wb);\n\n\treturn wb;\n}\n\nvar WB_XML_ROOT = writextag('workbook', null, {\n\t'xmlns': XMLNS.main[0],\n\t//'xmlns:mx': XMLNS.mx,\n\t//'xmlns:s': XMLNS.main[0],\n\t'xmlns:r': XMLNS.r\n});\n\nfunction safe1904(wb) {\n\t/* TODO: store date1904 somewhere else */\n\ttry { return parsexmlbool(wb.Workbook.WBProps.date1904) ? \"true\" : \"false\"; } catch(e) { return \"false\"; }\n}\n\nfunction write_wb_xml(wb, opts) {\n\tvar o = [XML_HEADER];\n\to[o.length] = WB_XML_ROOT;\n\to[o.length] = (writextag('workbookPr', null, {date1904:safe1904(wb)}));\n\to[o.length] = \"<sheets>\";\n\tfor(var i = 0; i != wb.SheetNames.length; ++i)\n\t\to[o.length] = (writextag('sheet',null,{name:wb.SheetNames[i].substr(0,31), sheetId:\"\"+(i+1), \"r:id\":\"rId\"+(i+1)}));\n\to[o.length] = \"</sheets>\";\n\tif(o.length>2){ o[o.length] = '</workbook>'; o[1]=o[1].replace(\"/>\",\">\"); }\n\treturn o.join(\"\");\n}\n/* [MS-XLSB] 2.4.301 BrtBundleSh */\nfunction parse_BrtBundleSh(data, length) {\n\tvar z = {};\n\tz.hsState = data.read_shift(4); //ST_SheetState\n\tz.iTabID = data.read_shift(4);\n\tz.strRelID = parse_RelID(data,length-8);\n\tz.name = parse_XLWideString(data);\n\treturn z;\n}\nfunction write_BrtBundleSh(data, o) {\n\tif(!o) o = new_buf(127);\n\to.write_shift(4, data.hsState);\n\to.write_shift(4, data.iTabID);\n\twrite_RelID(data.strRelID, o);\n\twrite_XLWideString(data.name.substr(0,31), o);\n\treturn o;\n}\n\n/* [MS-XLSB] 2.4.807 BrtWbProp */\nfunction parse_BrtWbProp(data, length) {\n\tdata.read_shift(4);\n\tvar dwThemeVersion = data.read_shift(4);\n\tvar strName = (length > 8) ? parse_XLWideString(data) : \"\";\n\treturn [dwThemeVersion, strName];\n}\nfunction write_BrtWbProp(data, o) {\n\tif(!o) o = new_buf(8);\n\to.write_shift(4, 0);\n\to.write_shift(4, 0);\n\treturn o;\n}\n\nfunction parse_BrtFRTArchID$(data, length) {\n\tvar o = {};\n\tdata.read_shift(4);\n\to.ArchID = data.read_shift(4);\n\tdata.l += length - 8;\n\treturn o;\n}\n\n/* [MS-XLSB] 2.1.7.60 Workbook */\nfunction parse_wb_bin(data, opts) {\n\tvar wb = { AppVersion:{}, WBProps:{}, WBView:[], Sheets:[], CalcPr:{}, xmlns: \"\" };\n\tvar pass = false, z;\n\n\trecordhopper(data, function hopper_wb(val, R) {\n\t\tswitch(R.n) {\n\t\t\tcase 'BrtBundleSh': wb.Sheets.push(val); break;\n\n\t\t\tcase 'BrtBeginBook': break;\n\t\t\tcase 'BrtFileVersion': break;\n\t\t\tcase 'BrtWbProp': break;\n\t\t\tcase 'BrtACBegin': break;\n\t\t\tcase 'BrtAbsPath15': break;\n\t\t\tcase 'BrtACEnd': break;\n\t\t\tcase 'BrtWbFactoid': break;\n\t\t\t/*case 'BrtBookProtectionIso': break;*/\n\t\t\tcase 'BrtBookProtection': break;\n\t\t\tcase 'BrtBeginBookViews': break;\n\t\t\tcase 'BrtBookView': break;\n\t\t\tcase 'BrtEndBookViews': break;\n\t\t\tcase 'BrtBeginBundleShs': break;\n\t\t\tcase 'BrtEndBundleShs': break;\n\t\t\tcase 'BrtBeginFnGroup': break;\n\t\t\tcase 'BrtEndFnGroup': break;\n\t\t\tcase 'BrtBeginExternals': break;\n\t\t\tcase 'BrtSupSelf': break;\n\t\t\tcase 'BrtSupBookSrc': break;\n\t\t\tcase 'BrtExternSheet': break;\n\t\t\tcase 'BrtEndExternals': break;\n\t\t\tcase 'BrtName': break;\n\t\t\tcase 'BrtCalcProp': break;\n\t\t\tcase 'BrtUserBookView': break;\n\t\t\tcase 'BrtBeginPivotCacheIDs': break;\n\t\t\tcase 'BrtBeginPivotCacheID': break;\n\t\t\tcase 'BrtEndPivotCacheID': break;\n\t\t\tcase 'BrtEndPivotCacheIDs': break;\n\t\t\tcase 'BrtWebOpt': break;\n\t\t\tcase 'BrtFileRecover': break;\n\t\t\tcase 'BrtFileSharing': break;\n\t\t\t/*case 'BrtBeginWebPubItems': break;\n\t\t\tcase 'BrtBeginWebPubItem': break;\n\t\t\tcase 'BrtEndWebPubItem': break;\n\t\t\tcase 'BrtEndWebPubItems': break;*/\n\n\t\t\t/* Smart Tags */\n\t\t\tcase 'BrtBeginSmartTagTypes': break;\n\t\t\tcase 'BrtSmartTagType': break;\n\t\t\tcase 'BrtEndSmartTagTypes': break;\n\n\t\t\tcase 'BrtFRTBegin': pass = true; break;\n\t\t\tcase 'BrtFRTArchID$': break;\n\t\t\tcase 'BrtWorkBookPr15': break;\n\t\t\tcase 'BrtFRTEnd': pass = false; break;\n\t\t\tcase 'BrtEndBook': break;\n\t\t\tdefault: if(!pass || opts.WTF) throw new Error(\"Unexpected record \" + R.n);\n\t\t}\n\t});\n\n\tparse_wb_defaults(wb);\n\n\treturn wb;\n}\n\n/* [MS-XLSB] 2.1.7.60 Workbook */\nfunction write_BUNDLESHS(ba, wb, opts) {\n\twrite_record(ba, \"BrtBeginBundleShs\");\n\tfor(var idx = 0; idx != wb.SheetNames.length; ++idx) {\n\t\tvar d = { hsState: 0, iTabID: idx+1, strRelID: 'rId' + (idx+1), name: wb.SheetNames[idx] };\n\t\twrite_record(ba, \"BrtBundleSh\", write_BrtBundleSh(d));\n\t}\n\twrite_record(ba, \"BrtEndBundleShs\");\n}\n\n/* [MS-XLSB] 2.4.643 BrtFileVersion */\nfunction write_BrtFileVersion(data, o) {\n\tif(!o) o = new_buf(127);\n\tfor(var i = 0; i != 4; ++i) o.write_shift(4, 0);\n\twrite_XLWideString(\"SheetJS\", o);\n\twrite_XLWideString(XLSX.version, o);\n\twrite_XLWideString(XLSX.version, o);\n\twrite_XLWideString(\"7262\", o);\n\to.length = o.l;\n\treturn o;\n}\n\n/* [MS-XLSB] 2.1.7.60 Workbook */\nfunction write_BOOKVIEWS(ba, wb, opts) {\n\twrite_record(ba, \"BrtBeginBookViews\");\n\t/* 1*(BrtBookView *FRT) */\n\twrite_record(ba, \"BrtEndBookViews\");\n}\n\n/* [MS-XLSB] 2.4.302 BrtCalcProp */\nfunction write_BrtCalcProp(data, o) {\n\tif(!o) o = new_buf(26);\n\to.write_shift(4,0); /* force recalc */\n\to.write_shift(4,1);\n\to.write_shift(4,0);\n\twrite_Xnum(0, o);\n\to.write_shift(-4, 1023);\n\to.write_shift(1, 0x33);\n\to.write_shift(1, 0x00);\n\treturn o;\n}\n\nfunction write_BrtFileRecover(data, o) {\n\tif(!o) o = new_buf(1);\n\to.write_shift(1,0);\n\treturn o;\n}\n\n/* [MS-XLSB] 2.1.7.60 Workbook */\nfunction write_wb_bin(wb, opts) {\n\tvar ba = buf_array();\n\twrite_record(ba, \"BrtBeginBook\");\n\twrite_record(ba, \"BrtFileVersion\", write_BrtFileVersion());\n\t/* [[BrtFileSharingIso] BrtFileSharing] */\n\twrite_record(ba, \"BrtWbProp\", write_BrtWbProp());\n\t/* [ACABSPATH] */\n\t/* [[BrtBookProtectionIso] BrtBookProtection] */\n\twrite_BOOKVIEWS(ba, wb, opts);\n\twrite_BUNDLESHS(ba, wb, opts);\n\t/* [FNGROUP] */\n\t/* [EXTERNALS] */\n\t/* *BrtName */\n\twrite_record(ba, \"BrtCalcProp\", write_BrtCalcProp());\n\t/* [BrtOleSize] */\n\t/* *(BrtUserBookView *FRT) */\n\t/* [PIVOTCACHEIDS] */\n\t/* [BrtWbFactoid] */\n\t/* [SMARTTAGTYPES] */\n\t/* [BrtWebOpt] */\n\twrite_record(ba, \"BrtFileRecover\", write_BrtFileRecover());\n\t/* [WEBPUBITEMS] */\n\t/* [CRERRS] */\n\t/* FRTWORKBOOK */\n\twrite_record(ba, \"BrtEndBook\");\n\n\treturn ba.end();\n}\nfunction parse_wb(data, name, opts) {\n\treturn (name.substr(-4)===\".bin\" ? parse_wb_bin : parse_wb_xml)(data, opts);\n}\n\nfunction parse_ws(data, name, opts, rels) {\n\treturn (name.substr(-4)===\".bin\" ? parse_ws_bin : parse_ws_xml)(data, opts, rels);\n}\n\nfunction parse_sty(data, name, opts) {\n\treturn (name.substr(-4)===\".bin\" ? parse_sty_bin : parse_sty_xml)(data, opts);\n}\n\nfunction parse_theme(data, name, opts) {\n\treturn parse_theme_xml(data, opts);\n}\n\nfunction parse_sst(data, name, opts) {\n\treturn (name.substr(-4)===\".bin\" ? parse_sst_bin : parse_sst_xml)(data, opts);\n}\n\nfunction parse_cmnt(data, name, opts) {\n\treturn (name.substr(-4)===\".bin\" ? parse_comments_bin : parse_comments_xml)(data, opts);\n}\n\nfunction parse_cc(data, name, opts) {\n\treturn (name.substr(-4)===\".bin\" ? parse_cc_bin : parse_cc_xml)(data, opts);\n}\n\nfunction write_wb(wb, name, opts) {\n\treturn (name.substr(-4)===\".bin\" ? write_wb_bin : write_wb_xml)(wb, opts);\n}\n\nfunction write_ws(data, name, opts, wb) {\n\treturn (name.substr(-4)===\".bin\" ? write_ws_bin : write_ws_xml)(data, opts, wb);\n}\n\nfunction write_sty(data, name, opts) {\n\treturn (name.substr(-4)===\".bin\" ? write_sty_bin : write_sty_xml)(data, opts);\n}\n\nfunction write_sst(data, name, opts) {\n\treturn (name.substr(-4)===\".bin\" ? write_sst_bin : write_sst_xml)(data, opts);\n}\n/*\nfunction write_cmnt(data, name, opts) {\n\treturn (name.substr(-4)===\".bin\" ? write_comments_bin : write_comments_xml)(data, opts);\n}\n\nfunction write_cc(data, name, opts) {\n\treturn (name.substr(-4)===\".bin\" ? write_cc_bin : write_cc_xml)(data, opts);\n}\n*/\nvar attregexg2=/([\\w:]+)=((?:\")([^\"]*)(?:\")|(?:')([^']*)(?:'))/g;\nvar attregex2=/([\\w:]+)=((?:\")(?:[^\"]*)(?:\")|(?:')(?:[^']*)(?:'))/;\nvar _chr = function(c) { return String.fromCharCode(c); };\nfunction xlml_parsexmltag(tag, skip_root) {\n\tvar words = tag.split(/\\s+/);\n\tvar z = []; if(!skip_root) z[0] = words[0];\n\tif(words.length === 1) return z;\n\tvar m = tag.match(attregexg2), y, j, w, i;\n\tif(m) for(i = 0; i != m.length; ++i) {\n\t\ty = m[i].match(attregex2);\n\t\tif((j=y[1].indexOf(\":\")) === -1) z[y[1]] = y[2].substr(1,y[2].length-2);\n\t\telse {\n\t\t\tif(y[1].substr(0,6) === \"xmlns:\") w = \"xmlns\"+y[1].substr(6);\n\t\t\telse w = y[1].substr(j+1);\n\t\t\tz[w] = y[2].substr(1,y[2].length-2);\n\t\t}\n\t}\n\treturn z;\n}\nfunction xlml_parsexmltagobj(tag) {\n\tvar words = tag.split(/\\s+/);\n\tvar z = {};\n\tif(words.length === 1) return z;\n\tvar m = tag.match(attregexg2), y, j, w, i;\n\tif(m) for(i = 0; i != m.length; ++i) {\n\t\ty = m[i].match(attregex2);\n\t\tif((j=y[1].indexOf(\":\")) === -1) z[y[1]] = y[2].substr(1,y[2].length-2);\n\t\telse {\n\t\t\tif(y[1].substr(0,6) === \"xmlns:\") w = \"xmlns\"+y[1].substr(6);\n\t\t\telse w = y[1].substr(j+1);\n\t\t\tz[w] = y[2].substr(1,y[2].length-2);\n\t\t}\n\t}\n\treturn z;\n}\n\n// ----\n\nfunction xlml_format(format, value) {\n\tvar fmt = XLMLFormatMap[format] || unescapexml(format);\n\tif(fmt === \"General\") return SSF._general(value);\n\treturn SSF.format(fmt, value);\n}\n\nfunction xlml_set_custprop(Custprops, Rn, cp, val) {\n\tswitch((cp[0].match(/dt:dt=\"([\\w.]+)\"/)||[\"\",\"\"])[1]) {\n\t\tcase \"boolean\": val = parsexmlbool(val); break;\n\t\tcase \"i2\": case \"int\": val = parseInt(val, 10); break;\n\t\tcase \"r4\": case \"float\": val = parseFloat(val); break;\n\t\tcase \"date\": case \"dateTime.tz\": val = new Date(val); break;\n\t\tcase \"i8\": case \"string\": case \"fixed\": case \"uuid\": case \"bin.base64\": break;\n\t\tdefault: throw \"bad custprop:\" + cp[0];\n\t}\n\tCustprops[unescapexml(Rn[3])] = val;\n}\n\nfunction safe_format_xlml(cell, nf, o) {\n\ttry {\n\t\tif(cell.t === 'e') { cell.w = cell.w || BErr[cell.v]; }\n\t\telse if(nf === \"General\") {\n\t\t\tif(cell.t === 'n') {\n\t\t\t\tif((cell.v|0) === cell.v) cell.w = SSF._general_int(cell.v);\n\t\t\t\telse cell.w = SSF._general_num(cell.v);\n\t\t\t}\n\t\t\telse cell.w = SSF._general(cell.v);\n\t\t}\n\t\telse cell.w = xlml_format(nf||\"General\", cell.v);\n\t\tif(o.cellNF) cell.z = XLMLFormatMap[nf]||nf||\"General\";\n\t} catch(e) { if(o.WTF) throw e; }\n}\n\nfunction process_style_xlml(styles, stag, opts) {\n\tif(opts.cellStyles) {\n\t\tif(stag.Interior) {\n\t\t\tvar I = stag.Interior;\n\t\t\tif(I.Pattern) I.patternType = XLMLPatternTypeMap[I.Pattern] || I.Pattern;\n\t\t}\n\t}\n\tstyles[stag.ID] = stag;\n}\n\n/* TODO: there must exist some form of OSP-blessed spec */\nfunction parse_xlml_data(xml, ss, data, cell, base, styles, csty, row, o) {\n\tvar nf = \"General\", sid = cell.StyleID, S = {}; o = o || {};\n\tvar interiors = [];\n\tif(sid === undefined && row) sid = row.StyleID;\n\tif(sid === undefined && csty) sid = csty.StyleID;\n\twhile(styles[sid] !== undefined) {\n\t\tif(styles[sid].nf) nf = styles[sid].nf;\n\t\tif(styles[sid].Interior) interiors.push(styles[sid].Interior);\n\t\tif(!styles[sid].Parent) break;\n\t\tsid = styles[sid].Parent;\n\t}\n\tswitch(data.Type) {\n\t\tcase 'Boolean':\n\t\t\tcell.t = 'b';\n\t\t\tcell.v = parsexmlbool(xml);\n\t\t\tbreak;\n\t\tcase 'String':\n\t\t\tcell.t = 's'; cell.r = xlml_fixstr(unescapexml(xml));\n\t\t\tcell.v = xml.indexOf(\"<\") > -1 ? ss : cell.r;\n\t\t\tbreak;\n\t\tcase 'DateTime':\n\t\t\tcell.v = (Date.parse(xml) - new Date(Date.UTC(1899, 11, 30))) / (24 * 60 * 60 * 1000);\n\t\t\tif(cell.v !== cell.v) cell.v = unescapexml(xml);\n\t\t\telse if(cell.v >= 1 && cell.v<60) cell.v = cell.v -1;\n\t\t\tif(!nf || nf == \"General\") nf = \"yyyy-mm-dd\";\n\t\t\t/* falls through */\n\t\tcase 'Number':\n\t\t\tif(cell.v === undefined) cell.v=+xml;\n\t\t\tif(!cell.t) cell.t = 'n';\n\t\t\tbreak;\n\t\tcase 'Error': cell.t = 'e'; cell.v = RBErr[xml]; cell.w = xml; break;\n\t\tdefault: cell.t = 's'; cell.v = xlml_fixstr(ss); break;\n\t}\n\tsafe_format_xlml(cell, nf, o);\n\tif(o.cellFormula != null && cell.Formula) {\n\t\tcell.f = rc_to_a1(unescapexml(cell.Formula), base);\n\t\tcell.Formula = undefined;\n\t}\n\tif(o.cellStyles) {\n\t\tinteriors.forEach(function(x) {\n\t\t\tif(!S.patternType && x.patternType) S.patternType = x.patternType;\n\t\t});\n\t\tcell.s = S;\n\t}\n\tcell.ixfe = cell.StyleID !== undefined ? cell.StyleID : 'Default';\n}\n\nfunction xlml_clean_comment(comment) {\n\tcomment.t = comment.v;\n\tcomment.v = comment.w = comment.ixfe = undefined;\n}\n\nfunction xlml_normalize(d) {\n\tif(has_buf && Buffer.isBuffer(d)) return d.toString('utf8');\n\tif(typeof d === 'string') return d;\n\tthrow \"badf\";\n}\n\n/* TODO: Everything */\nvar xlmlregex = /<(\\/?)([a-z0-9]*:|)(\\w+)[^>]*>/mg;\nfunction parse_xlml_xml(d, opts) {\n\tvar str = xlml_normalize(d);\n\tvar Rn;\n\tvar state = [], tmp;\n\tvar sheets = {}, sheetnames = [], cursheet = {}, sheetname = \"\";\n\tvar table = {}, cell = {}, row = {}, dtag, didx;\n\tvar c = 0, r = 0;\n\tvar refguess = {s: {r:1000000, c:1000000}, e: {r:0, c:0} };\n\tvar styles = {}, stag = {};\n\tvar ss = \"\", fidx = 0;\n\tvar mergecells = [];\n\tvar Props = {}, Custprops = {}, pidx = 0, cp = {};\n\tvar comments = [], comment = {};\n\tvar cstys = [], csty;\n\txlmlregex.lastIndex = 0;\n\twhile((Rn = xlmlregex.exec(str))) switch(Rn[3]) {\n\t\tcase 'Data':\n\t\t\tif(state[state.length-1][1]) break;\n\t\t\tif(Rn[1]==='/') parse_xlml_data(str.slice(didx, Rn.index), ss, dtag, state[state.length-1][0]==\"Comment\"?comment:cell, {c:c,r:r}, styles, cstys[c], row, opts);\n\t\t\telse { ss = \"\"; dtag = xlml_parsexmltag(Rn[0]); didx = Rn.index + Rn[0].length; }\n\t\t\tbreak;\n\t\tcase 'Cell':\n\t\t\tif(Rn[1]==='/'){\n\t\t\t\tif(comments.length > 0) cell.c = comments;\n\t\t\t\tif((!opts.sheetRows || opts.sheetRows > r) && cell.v !== undefined) cursheet[encode_col(c) + encode_row(r)] = cell;\n\t\t\t\tif(cell.HRef) {\n\t\t\t\t\tcell.l = {Target:cell.HRef, tooltip:cell.HRefScreenTip};\n\t\t\t\t\tcell.HRef = cell.HRefScreenTip = undefined;\n\t\t\t\t}\n\t\t\t\tif(cell.MergeAcross || cell.MergeDown) {\n\t\t\t\t\tvar cc = c + (parseInt(cell.MergeAcross,10)|0);\n\t\t\t\t\tvar rr = r + (parseInt(cell.MergeDown,10)|0);\n\t\t\t\t\tmergecells.push({s:{c:c,r:r},e:{c:cc,r:rr}});\n\t\t\t\t}\n\t\t\t\t++c;\n\t\t\t\tif(cell.MergeAcross) c += +cell.MergeAcross;\n\t\t\t} else {\n\t\t\t\tcell = xlml_parsexmltagobj(Rn[0]);\n\t\t\t\tif(cell.Index) c = +cell.Index - 1;\n\t\t\t\tif(c < refguess.s.c) refguess.s.c = c;\n\t\t\t\tif(c > refguess.e.c) refguess.e.c = c;\n\t\t\t\tif(Rn[0].substr(-2) === \"/>\") ++c;\n\t\t\t\tcomments = [];\n\t\t\t}\n\t\t\tbreak;\n\t\tcase 'Row':\n\t\t\tif(Rn[1]==='/' || Rn[0].substr(-2) === \"/>\") {\n\t\t\t\tif(r < refguess.s.r) refguess.s.r = r;\n\t\t\t\tif(r > refguess.e.r) refguess.e.r = r;\n\t\t\t\tif(Rn[0].substr(-2) === \"/>\") {\n\t\t\t\t\trow = xlml_parsexmltag(Rn[0]);\n\t\t\t\t\tif(row.Index) r = +row.Index - 1;\n\t\t\t\t}\n\t\t\t\tc = 0; ++r;\n\t\t\t} else {\n\t\t\t\trow = xlml_parsexmltag(Rn[0]);\n\t\t\t\tif(row.Index) r = +row.Index - 1;\n\t\t\t}\n\t\t\tbreak;\n\t\tcase 'Worksheet': /* TODO: read range from FullRows/FullColumns */\n\t\t\tif(Rn[1]==='/'){\n\t\t\t\tif((tmp=state.pop())[0]!==Rn[3]) throw \"Bad state: \"+tmp;\n\t\t\t\tsheetnames.push(sheetname);\n\t\t\t\tif(refguess.s.r <= refguess.e.r && refguess.s.c <= refguess.e.c) cursheet[\"!ref\"] = encode_range(refguess);\n\t\t\t\tif(mergecells.length) cursheet[\"!merges\"] = mergecells;\n\t\t\t\tsheets[sheetname] = cursheet;\n\t\t\t} else {\n\t\t\t\trefguess = {s: {r:1000000, c:1000000}, e: {r:0, c:0} };\n\t\t\t\tr = c = 0;\n\t\t\t\tstate.push([Rn[3], false]);\n\t\t\t\ttmp = xlml_parsexmltag(Rn[0]);\n\t\t\t\tsheetname = tmp.Name;\n\t\t\t\tcursheet = {};\n\t\t\t\tmergecells = [];\n\t\t\t}\n\t\t\tbreak;\n\t\tcase 'Table':\n\t\t\tif(Rn[1]==='/'){if((tmp=state.pop())[0]!==Rn[3]) throw \"Bad state: \"+tmp;}\n\t\t\telse if(Rn[0].slice(-2) == \"/>\") break;\n\t\t\telse {\n\t\t\t\ttable = xlml_parsexmltag(Rn[0]);\n\t\t\t\tstate.push([Rn[3], false]);\n\t\t\t\tcstys = [];\n\t\t\t}\n\t\t\tbreak;\n\n\t\tcase 'Style':\n\t\t\tif(Rn[1]==='/') process_style_xlml(styles, stag, opts);\n\t\t\telse stag = xlml_parsexmltag(Rn[0]);\n\t\t\tbreak;\n\n\t\tcase 'NumberFormat':\n\t\t\tstag.nf = xlml_parsexmltag(Rn[0]).Format || \"General\";\n\t\t\tbreak;\n\n\t\tcase 'Column':\n\t\t\tif(state[state.length-1][0] !== 'Table') break;\n\t\t\tcsty = xlml_parsexmltag(Rn[0]);\n\t\t\tcstys[(csty.Index-1||cstys.length)] = csty;\n\t\t\tfor(var i = 0; i < +csty.Span; ++i) cstys[cstys.length] = csty;\n\t\t\tbreak;\n\n\t\tcase 'NamedRange': break;\n\t\tcase 'NamedCell': break;\n\t\tcase 'B': break;\n\t\tcase 'I': break;\n\t\tcase 'U': break;\n\t\tcase 'S': break;\n\t\tcase 'Sub': break;\n\t\tcase 'Sup': break;\n\t\tcase 'Span': break;\n\t\tcase 'Border': break;\n\t\tcase 'Alignment': break;\n\t\tcase 'Borders': break;\n\t\tcase 'Font':\n\t\t\tif(Rn[0].substr(-2) === \"/>\") break;\n\t\t\telse if(Rn[1]===\"/\") ss += str.slice(fidx, Rn.index);\n\t\t\telse fidx = Rn.index + Rn[0].length;\n\t\t\tbreak;\n\t\tcase 'Interior':\n\t\t\tif(!opts.cellStyles) break;\n\t\t\tstag.Interior = xlml_parsexmltag(Rn[0]);\n\t\t\tbreak;\n\t\tcase 'Protection': break;\n\n\t\tcase 'Author':\n\t\tcase 'Title':\n\t\tcase 'Description':\n\t\tcase 'Created':\n\t\tcase 'Keywords':\n\t\tcase 'Subject':\n\t\tcase 'Category':\n\t\tcase 'Company':\n\t\tcase 'LastAuthor':\n\t\tcase 'LastSaved':\n\t\tcase 'LastPrinted':\n\t\tcase 'Version':\n\t\tcase 'Revision':\n\t\tcase 'TotalTime':\n\t\tcase 'HyperlinkBase':\n\t\tcase 'Manager':\n\t\t\tif(Rn[0].substr(-2) === \"/>\") break;\n\t\t\telse if(Rn[1]===\"/\") xlml_set_prop(Props, Rn[3], str.slice(pidx, Rn.index));\n\t\t\telse pidx = Rn.index + Rn[0].length;\n\t\t\tbreak;\n\t\tcase 'Paragraphs': break;\n\n\t\tcase 'Styles':\n\t\tcase 'Workbook':\n\t\t\tif(Rn[1]==='/'){if((tmp=state.pop())[0]!==Rn[3]) throw \"Bad state: \"+tmp;}\n\t\t\telse state.push([Rn[3], false]);\n\t\t\tbreak;\n\n\t\tcase 'Comment':\n\t\t\tif(Rn[1]==='/'){\n\t\t\t\tif((tmp=state.pop())[0]!==Rn[3]) throw \"Bad state: \"+tmp;\n\t\t\t\txlml_clean_comment(comment);\n\t\t\t\tcomments.push(comment);\n\t\t\t} else {\n\t\t\t\tstate.push([Rn[3], false]);\n\t\t\t\ttmp = xlml_parsexmltag(Rn[0]);\n\t\t\t\tcomment = {a:tmp.Author};\n\t\t\t}\n\t\t\tbreak;\n\n\t\tcase 'Name': break;\n\n\t\tcase 'ComponentOptions':\n\t\tcase 'DocumentProperties':\n\t\tcase 'CustomDocumentProperties':\n\t\tcase 'OfficeDocumentSettings':\n\t\tcase 'PivotTable':\n\t\tcase 'PivotCache':\n\t\tcase 'Names':\n\t\tcase 'MapInfo':\n\t\tcase 'PageBreaks':\n\t\tcase 'QueryTable':\n\t\tcase 'DataValidation':\n\t\tcase 'AutoFilter':\n\t\tcase 'Sorting':\n\t\tcase 'Schema':\n\t\tcase 'data':\n\t\tcase 'ConditionalFormatting':\n\t\tcase 'SmartTagType':\n\t\tcase 'SmartTags':\n\t\tcase 'ExcelWorkbook':\n\t\tcase 'WorkbookOptions':\n\t\tcase 'WorksheetOptions':\n\t\t\tif(Rn[1]==='/'){if((tmp=state.pop())[0]!==Rn[3]) throw \"Bad state: \"+tmp;}\n\t\t\telse if(Rn[0].charAt(Rn[0].length-2) !== '/') state.push([Rn[3], true]);\n\t\t\tbreak;\n\n\t\tdefault:\n\t\t\tvar seen = true;\n\t\t\tswitch(state[state.length-1][0]) {\n\t\t\t\t/* OfficeDocumentSettings */\n\t\t\t\tcase 'OfficeDocumentSettings': switch(Rn[3]) {\n\t\t\t\t\tcase 'AllowPNG': break;\n\t\t\t\t\tcase 'RemovePersonalInformation': break;\n\t\t\t\t\tcase 'DownloadComponents': break;\n\t\t\t\t\tcase 'LocationOfComponents': break;\n\t\t\t\t\tcase 'Colors': break;\n\t\t\t\t\tcase 'Color': break;\n\t\t\t\t\tcase 'Index': break;\n\t\t\t\t\tcase 'RGB': break;\n\t\t\t\t\tcase 'PixelsPerInch': break;\n\t\t\t\t\tcase 'TargetScreenSize': break;\n\t\t\t\t\tcase 'ReadOnlyRecommended': break;\n\t\t\t\t\tdefault: seen = false;\n\t\t\t\t} break;\n\n\t\t\t\t/* ComponentOptions */\n\t\t\t\tcase 'ComponentOptions': switch(Rn[3]) {\n\t\t\t\t\tcase 'Toolbar': break;\n\t\t\t\t\tcase 'HideOfficeLogo': break;\n\t\t\t\t\tcase 'SpreadsheetAutoFit': break;\n\t\t\t\t\tcase 'Label': break;\n\t\t\t\t\tcase 'Caption': break;\n\t\t\t\t\tcase 'MaxHeight': break;\n\t\t\t\t\tcase 'MaxWidth': break;\n\t\t\t\t\tcase 'NextSheetNumber': break;\n\t\t\t\t\tdefault: seen = false;\n\t\t\t\t} break;\n\n\t\t\t\t/* ExcelWorkbook */\n\t\t\t\tcase 'ExcelWorkbook': switch(Rn[3]) {\n\t\t\t\t\tcase 'WindowHeight': break;\n\t\t\t\t\tcase 'WindowWidth': break;\n\t\t\t\t\tcase 'WindowTopX': break;\n\t\t\t\t\tcase 'WindowTopY': break;\n\t\t\t\t\tcase 'TabRatio': break;\n\t\t\t\t\tcase 'ProtectStructure': break;\n\t\t\t\t\tcase 'ProtectWindows': break;\n\t\t\t\t\tcase 'ActiveSheet': break;\n\t\t\t\t\tcase 'DisplayInkNotes': break;\n\t\t\t\t\tcase 'FirstVisibleSheet': break;\n\t\t\t\t\tcase 'SupBook': break;\n\t\t\t\t\tcase 'SheetName': break;\n\t\t\t\t\tcase 'SheetIndex': break;\n\t\t\t\t\tcase 'SheetIndexFirst': break;\n\t\t\t\t\tcase 'SheetIndexLast': break;\n\t\t\t\t\tcase 'Dll': break;\n\t\t\t\t\tcase 'AcceptLabelsInFormulas': break;\n\t\t\t\t\tcase 'DoNotSaveLinkValues': break;\n\t\t\t\t\tcase 'Date1904': break;\n\t\t\t\t\tcase 'Iteration': break;\n\t\t\t\t\tcase 'MaxIterations': break;\n\t\t\t\t\tcase 'MaxChange': break;\n\t\t\t\t\tcase 'Path': break;\n\t\t\t\t\tcase 'Xct': break;\n\t\t\t\t\tcase 'Count': break;\n\t\t\t\t\tcase 'SelectedSheets': break;\n\t\t\t\t\tcase 'Calculation': break;\n\t\t\t\t\tcase 'Uncalced': break;\n\t\t\t\t\tcase 'StartupPrompt': break;\n\t\t\t\t\tcase 'Crn': break;\n\t\t\t\t\tcase 'ExternName': break;\n\t\t\t\t\tcase 'Formula': break;\n\t\t\t\t\tcase 'ColFirst': break;\n\t\t\t\t\tcase 'ColLast': break;\n\t\t\t\t\tcase 'WantAdvise': break;\n\t\t\t\t\tcase 'Boolean': break;\n\t\t\t\t\tcase 'Error': break;\n\t\t\t\t\tcase 'Text': break;\n\t\t\t\t\tcase 'OLE': break;\n\t\t\t\t\tcase 'NoAutoRecover': break;\n\t\t\t\t\tcase 'PublishObjects': break;\n\t\t\t\t\tcase 'DoNotCalculateBeforeSave': break;\n\t\t\t\t\tcase 'Number': break;\n\t\t\t\t\tcase 'RefModeR1C1': break;\n\t\t\t\t\tcase 'EmbedSaveSmartTags': break;\n\t\t\t\t\tdefault: seen = false;\n\t\t\t\t} break;\n\n\t\t\t\t/* WorkbookOptions */\n\t\t\t\tcase 'WorkbookOptions': switch(Rn[3]) {\n\t\t\t\t\tcase 'OWCVersion': break;\n\t\t\t\t\tcase 'Height': break;\n\t\t\t\t\tcase 'Width': break;\n\t\t\t\t\tdefault: seen = false;\n\t\t\t\t} break;\n\n\t\t\t\t/* WorksheetOptions */\n\t\t\t\tcase 'WorksheetOptions': switch(Rn[3]) {\n\t\t\t\t\tcase 'Unsynced': break;\n\t\t\t\t\tcase 'Visible': break;\n\t\t\t\t\tcase 'Print': break;\n\t\t\t\t\tcase 'Panes': break;\n\t\t\t\t\tcase 'Scale': break;\n\t\t\t\t\tcase 'Pane': break;\n\t\t\t\t\tcase 'Number': break;\n\t\t\t\t\tcase 'Layout': break;\n\t\t\t\t\tcase 'Header': break;\n\t\t\t\t\tcase 'Footer': break;\n\t\t\t\t\tcase 'PageSetup': break;\n\t\t\t\t\tcase 'PageMargins': break;\n\t\t\t\t\tcase 'Selected': break;\n\t\t\t\t\tcase 'ProtectObjects': break;\n\t\t\t\t\tcase 'EnableSelection': break;\n\t\t\t\t\tcase 'ProtectScenarios': break;\n\t\t\t\t\tcase 'ValidPrinterInfo': break;\n\t\t\t\t\tcase 'HorizontalResolution': break;\n\t\t\t\t\tcase 'VerticalResolution': break;\n\t\t\t\t\tcase 'NumberofCopies': break;\n\t\t\t\t\tcase 'ActiveRow': break;\n\t\t\t\t\tcase 'ActiveCol': break;\n\t\t\t\t\tcase 'ActivePane': break;\n\t\t\t\t\tcase 'TopRowVisible': break;\n\t\t\t\t\tcase 'TopRowBottomPane': break;\n\t\t\t\t\tcase 'LeftColumnVisible': break;\n\t\t\t\t\tcase 'LeftColumnRightPane': break;\n\t\t\t\t\tcase 'FitToPage': break;\n\t\t\t\t\tcase 'RangeSelection': break;\n\t\t\t\t\tcase 'PaperSizeIndex': break;\n\t\t\t\t\tcase 'PageLayoutZoom': break;\n\t\t\t\t\tcase 'PageBreakZoom': break;\n\t\t\t\t\tcase 'FilterOn': break;\n\t\t\t\t\tcase 'DoNotDisplayGridlines': break;\n\t\t\t\t\tcase 'SplitHorizontal': break;\n\t\t\t\t\tcase 'SplitVertical': break;\n\t\t\t\t\tcase 'FreezePanes': break;\n\t\t\t\t\tcase 'FrozenNoSplit': break;\n\t\t\t\t\tcase 'FitWidth': break;\n\t\t\t\t\tcase 'FitHeight': break;\n\t\t\t\t\tcase 'CommentsLayout': break;\n\t\t\t\t\tcase 'Zoom': break;\n\t\t\t\t\tcase 'LeftToRight': break;\n\t\t\t\t\tcase 'Gridlines': break;\n\t\t\t\t\tcase 'AllowSort': break;\n\t\t\t\t\tcase 'AllowFilter': break;\n\t\t\t\t\tcase 'AllowInsertRows': break;\n\t\t\t\t\tcase 'AllowDeleteRows': break;\n\t\t\t\t\tcase 'AllowInsertCols': break;\n\t\t\t\t\tcase 'AllowDeleteCols': break;\n\t\t\t\t\tcase 'AllowInsertHyperlinks': break;\n\t\t\t\t\tcase 'AllowFormatCells': break;\n\t\t\t\t\tcase 'AllowSizeCols': break;\n\t\t\t\t\tcase 'AllowSizeRows': break;\n\t\t\t\t\tcase 'NoSummaryRowsBelowDetail': break;\n\t\t\t\t\tcase 'TabColorIndex': break;\n\t\t\t\t\tcase 'DoNotDisplayHeadings': break;\n\t\t\t\t\tcase 'ShowPageLayoutZoom': break;\n\t\t\t\t\tcase 'NoSummaryColumnsRightDetail': break;\n\t\t\t\t\tcase 'BlackAndWhite': break;\n\t\t\t\t\tcase 'DoNotDisplayZeros': break;\n\t\t\t\t\tcase 'DisplayPageBreak': break;\n\t\t\t\t\tcase 'RowColHeadings': break;\n\t\t\t\t\tcase 'DoNotDisplayOutline': break;\n\t\t\t\t\tcase 'NoOrientation': break;\n\t\t\t\t\tcase 'AllowUsePivotTables': break;\n\t\t\t\t\tcase 'ZeroHeight': break;\n\t\t\t\t\tcase 'ViewableRange': break;\n\t\t\t\t\tcase 'Selection': break;\n\t\t\t\t\tcase 'ProtectContents': break;\n\t\t\t\t\tdefault: seen = false;\n\t\t\t\t} break;\n\n\t\t\t\t/* PivotTable */\n\t\t\t\tcase 'PivotTable': case 'PivotCache': switch(Rn[3]) {\n\t\t\t\t\tcase 'ImmediateItemsOnDrop': break;\n\t\t\t\t\tcase 'ShowPageMultipleItemLabel': break;\n\t\t\t\t\tcase 'CompactRowIndent': break;\n\t\t\t\t\tcase 'Location': break;\n\t\t\t\t\tcase 'PivotField': break;\n\t\t\t\t\tcase 'Orientation': break;\n\t\t\t\t\tcase 'LayoutForm': break;\n\t\t\t\t\tcase 'LayoutSubtotalLocation': break;\n\t\t\t\t\tcase 'LayoutCompactRow': break;\n\t\t\t\t\tcase 'Position': break;\n\t\t\t\t\tcase 'PivotItem': break;\n\t\t\t\t\tcase 'DataType': break;\n\t\t\t\t\tcase 'DataField': break;\n\t\t\t\t\tcase 'SourceName': break;\n\t\t\t\t\tcase 'ParentField': break;\n\t\t\t\t\tcase 'PTLineItems': break;\n\t\t\t\t\tcase 'PTLineItem': break;\n\t\t\t\t\tcase 'CountOfSameItems': break;\n\t\t\t\t\tcase 'Item': break;\n\t\t\t\t\tcase 'ItemType': break;\n\t\t\t\t\tcase 'PTSource': break;\n\t\t\t\t\tcase 'CacheIndex': break;\n\t\t\t\t\tcase 'ConsolidationReference': break;\n\t\t\t\t\tcase 'FileName': break;\n\t\t\t\t\tcase 'Reference': break;\n\t\t\t\t\tcase 'NoColumnGrand': break;\n\t\t\t\t\tcase 'NoRowGrand': break;\n\t\t\t\t\tcase 'BlankLineAfterItems': break;\n\t\t\t\t\tcase 'Hidden': break;\n\t\t\t\t\tcase 'Subtotal': break;\n\t\t\t\t\tcase 'BaseField': break;\n\t\t\t\t\tcase 'MapChildItems': break;\n\t\t\t\t\tcase 'Function': break;\n\t\t\t\t\tcase 'RefreshOnFileOpen': break;\n\t\t\t\t\tcase 'PrintSetTitles': break;\n\t\t\t\t\tcase 'MergeLabels': break;\n\t\t\t\t\tcase 'DefaultVersion': break;\n\t\t\t\t\tcase 'RefreshName': break;\n\t\t\t\t\tcase 'RefreshDate': break;\n\t\t\t\t\tcase 'RefreshDateCopy': break;\n\t\t\t\t\tcase 'VersionLastRefresh': break;\n\t\t\t\t\tcase 'VersionLastUpdate': break;\n\t\t\t\t\tcase 'VersionUpdateableMin': break;\n\t\t\t\t\tcase 'VersionRefreshableMin': break;\n\t\t\t\t\tcase 'Calculation': break;\n\t\t\t\t\tdefault: seen = false;\n\t\t\t\t} break;\n\n\t\t\t\t/* PageBreaks */\n\t\t\t\tcase 'PageBreaks': switch(Rn[3]) {\n\t\t\t\t\tcase 'ColBreaks': break;\n\t\t\t\t\tcase 'ColBreak': break;\n\t\t\t\t\tcase 'RowBreaks': break;\n\t\t\t\t\tcase 'RowBreak': break;\n\t\t\t\t\tcase 'ColStart': break;\n\t\t\t\t\tcase 'ColEnd': break;\n\t\t\t\t\tcase 'RowEnd': break;\n\t\t\t\t\tdefault: seen = false;\n\t\t\t\t} break;\n\n\t\t\t\t/* AutoFilter */\n\t\t\t\tcase 'AutoFilter': switch(Rn[3]) {\n\t\t\t\t\tcase 'AutoFilterColumn': break;\n\t\t\t\t\tcase 'AutoFilterCondition': break;\n\t\t\t\t\tcase 'AutoFilterAnd': break;\n\t\t\t\t\tcase 'AutoFilterOr': break;\n\t\t\t\t\tdefault: seen = false;\n\t\t\t\t} break;\n\n\t\t\t\t/* QueryTable */\n\t\t\t\tcase 'QueryTable': switch(Rn[3]) {\n\t\t\t\t\tcase 'Id': break;\n\t\t\t\t\tcase 'AutoFormatFont': break;\n\t\t\t\t\tcase 'AutoFormatPattern': break;\n\t\t\t\t\tcase 'QuerySource': break;\n\t\t\t\t\tcase 'QueryType': break;\n\t\t\t\t\tcase 'EnableRedirections': break;\n\t\t\t\t\tcase 'RefreshedInXl9': break;\n\t\t\t\t\tcase 'URLString': break;\n\t\t\t\t\tcase 'HTMLTables': break;\n\t\t\t\t\tcase 'Connection': break;\n\t\t\t\t\tcase 'CommandText': break;\n\t\t\t\t\tcase 'RefreshInfo': break;\n\t\t\t\t\tcase 'NoTitles': break;\n\t\t\t\t\tcase 'NextId': break;\n\t\t\t\t\tcase 'ColumnInfo': break;\n\t\t\t\t\tcase 'OverwriteCells': break;\n\t\t\t\t\tcase 'DoNotPromptForFile': break;\n\t\t\t\t\tcase 'TextWizardSettings': break;\n\t\t\t\t\tcase 'Source': break;\n\t\t\t\t\tcase 'Number': break;\n\t\t\t\t\tcase 'Decimal': break;\n\t\t\t\t\tcase 'ThousandSeparator': break;\n\t\t\t\t\tcase 'TrailingMinusNumbers': break;\n\t\t\t\t\tcase 'FormatSettings': break;\n\t\t\t\t\tcase 'FieldType': break;\n\t\t\t\t\tcase 'Delimiters': break;\n\t\t\t\t\tcase 'Tab': break;\n\t\t\t\t\tcase 'Comma': break;\n\t\t\t\t\tcase 'AutoFormatName': break;\n\t\t\t\t\tcase 'VersionLastEdit': break;\n\t\t\t\t\tcase 'VersionLastRefresh': break;\n\t\t\t\t\tdefault: seen = false;\n\t\t\t\t} break;\n\n\t\t\t\t/* Sorting */\n\t\t\t\tcase 'Sorting':\n\t\t\t\t/* ConditionalFormatting */\n\t\t\t\tcase 'ConditionalFormatting':\n\t\t\t\t/* DataValidation */\n\t\t\t\tcase 'DataValidation': switch(Rn[3]) {\n\t\t\t\t\tcase 'Range': break;\n\t\t\t\t\tcase 'Type': break;\n\t\t\t\t\tcase 'Min': break;\n\t\t\t\t\tcase 'Max': break;\n\t\t\t\t\tcase 'Sort': break;\n\t\t\t\t\tcase 'Descending': break;\n\t\t\t\t\tcase 'Order': break;\n\t\t\t\t\tcase 'CaseSensitive': break;\n\t\t\t\t\tcase 'Value': break;\n\t\t\t\t\tcase 'ErrorStyle': break;\n\t\t\t\t\tcase 'ErrorMessage': break;\n\t\t\t\t\tcase 'ErrorTitle': break;\n\t\t\t\t\tcase 'CellRangeList': break;\n\t\t\t\t\tcase 'InputMessage': break;\n\t\t\t\t\tcase 'InputTitle': break;\n\t\t\t\t\tcase 'ComboHide': break;\n\t\t\t\t\tcase 'InputHide': break;\n\t\t\t\t\tcase 'Condition': break;\n\t\t\t\t\tcase 'Qualifier': break;\n\t\t\t\t\tcase 'UseBlank': break;\n\t\t\t\t\tcase 'Value1': break;\n\t\t\t\t\tcase 'Value2': break;\n\t\t\t\t\tcase 'Format': break;\n\t\t\t\t\tdefault: seen = false;\n\t\t\t\t} break;\n\n\t\t\t\t/* MapInfo (schema) */\n\t\t\t\tcase 'MapInfo': case 'Schema': case 'data': switch(Rn[3]) {\n\t\t\t\t\tcase 'Map': break;\n\t\t\t\t\tcase 'Entry': break;\n\t\t\t\t\tcase 'Range': break;\n\t\t\t\t\tcase 'XPath': break;\n\t\t\t\t\tcase 'Field': break;\n\t\t\t\t\tcase 'XSDType': break;\n\t\t\t\t\tcase 'FilterOn': break;\n\t\t\t\t\tcase 'Aggregate': break;\n\t\t\t\t\tcase 'ElementType': break;\n\t\t\t\t\tcase 'AttributeType': break;\n\t\t\t\t/* These are from xsd (XML Schema Definition) */\n\t\t\t\t\tcase 'schema':\n\t\t\t\t\tcase 'element':\n\t\t\t\t\tcase 'complexType':\n\t\t\t\t\tcase 'datatype':\n\t\t\t\t\tcase 'all':\n\t\t\t\t\tcase 'attribute':\n\t\t\t\t\tcase 'extends': break;\n\n\t\t\t\t\tcase 'row': break;\n\t\t\t\t\tdefault: seen = false;\n\t\t\t\t} break;\n\n\t\t\t\t/* SmartTags (can be anything) */\n\t\t\t\tcase 'SmartTags': break;\n\n\t\t\t\tdefault: seen = false; break;\n\t\t\t}\n\t\t\tif(seen) break;\n\t\t\t/* CustomDocumentProperties */\n\t\t\tif(!state[state.length-1][1]) throw 'Unrecognized tag: ' + Rn[3] + \"|\" + state.join(\"|\");\n\t\t\tif(state[state.length-1][0]==='CustomDocumentProperties') {\n\t\t\t\tif(Rn[0].substr(-2) === \"/>\") break;\n\t\t\t\telse if(Rn[1]===\"/\") xlml_set_custprop(Custprops, Rn, cp, str.slice(pidx, Rn.index));\n\t\t\t\telse { cp = Rn; pidx = Rn.index + Rn[0].length; }\n\t\t\t\tbreak;\n\t\t\t}\n\t\t\tif(opts.WTF) throw 'Unrecognized tag: ' + Rn[3] + \"|\" + state.join(\"|\");\n\t}\n\tvar out = {};\n\tif(!opts.bookSheets && !opts.bookProps) out.Sheets = sheets;\n\tout.SheetNames = sheetnames;\n\tout.SSF = SSF.get_table();\n\tout.Props = Props;\n\tout.Custprops = Custprops;\n\treturn out;\n}\n\nfunction parse_xlml(data, opts) {\n\tfix_read_opts(opts=opts||{});\n\tswitch(opts.type||\"base64\") {\n\t\tcase \"base64\": return parse_xlml_xml(Base64.decode(data), opts);\n\t\tcase \"binary\": case \"buffer\": case \"file\": return parse_xlml_xml(data, opts);\n\t\tcase \"array\": return parse_xlml_xml(data.map(_chr).join(\"\"), opts);\n\t}\n}\n\nfunction write_xlml(wb, opts) { }\n\n/* [MS-OLEDS] 2.3.8 CompObjStream */\nfunction parse_compobj(obj) {\n\tvar v = {};\n\tvar o = obj.content;\n\n\t/* [MS-OLEDS] 2.3.7 CompObjHeader -- All fields MUST be ignored */\n\tvar l = 28, m;\n\tm = __lpstr(o, l);\n\tl += 4 + __readUInt32LE(o,l);\n\tv.UserType = m;\n\n\t/* [MS-OLEDS] 2.3.1 ClipboardFormatOrAnsiString */\n\tm = __readUInt32LE(o,l); l+= 4;\n\tswitch(m) {\n\t\tcase 0x00000000: break;\n\t\tcase 0xffffffff: case 0xfffffffe: l+=4; break;\n\t\tdefault:\n\t\t\tif(m > 0x190) throw new Error(\"Unsupported Clipboard: \" + m.toString(16));\n\t\t\tl += m;\n\t}\n\n\tm = __lpstr(o, l); l += m.length === 0 ? 0 : 5 + m.length; v.Reserved1 = m;\n\n\tif((m = __readUInt32LE(o,l)) !== 0x71b2e9f4) return v;\n\tthrow \"Unsupported Unicode Extension\";\n}\n\n/* 2.4.58 Continue logic */\nfunction slurp(R, blob, length, opts) {\n\tvar l = length;\n\tvar bufs = [];\n\tvar d = blob.slice(blob.l,blob.l+l);\n\tif(opts && opts.enc && opts.enc.insitu_decrypt) switch(R.n) {\n\tcase 'BOF': case 'FilePass': case 'FileLock': case 'InterfaceHdr': case 'RRDInfo': case 'RRDHead': case 'UsrExcl': break;\n\tdefault:\n\t\tif(d.length === 0) break;\n\t\topts.enc.insitu_decrypt(d);\n\t}\n\tbufs.push(d);\n\tblob.l += l;\n\tvar next = (XLSRecordEnum[__readUInt16LE(blob,blob.l)]);\n\twhile(next != null && next.n === 'Continue') {\n\t\tl = __readUInt16LE(blob,blob.l+2);\n\t\tbufs.push(blob.slice(blob.l+4,blob.l+4+l));\n\t\tblob.l += 4+l;\n\t\tnext = (XLSRecordEnum[__readUInt16LE(blob, blob.l)]);\n\t}\n\tvar b = bconcat(bufs);\n\tprep_blob(b, 0);\n\tvar ll = 0; b.lens = [];\n\tfor(var j = 0; j < bufs.length; ++j) { b.lens.push(ll); ll += bufs[j].length; }\n\treturn R.f(b, b.length, opts);\n}\n\nfunction safe_format_xf(p, opts, date1904) {\n\tif(!p.XF) return;\n\ttry {\n\t\tvar fmtid = p.XF.ifmt||0;\n\t\tif(p.t === 'e') { p.w = p.w || BErr[p.v]; }\n\t\telse if(fmtid === 0) {\n\t\t\tif(p.t === 'n') {\n\t\t\t\tif((p.v|0) === p.v) p.w = SSF._general_int(p.v);\n\t\t\t\telse p.w = SSF._general_num(p.v);\n\t\t\t}\n\t\t\telse p.w = SSF._general(p.v);\n\t\t}\n\t\telse p.w = SSF.format(fmtid,p.v, {date1904:date1904||false});\n\t\tif(opts.cellNF) p.z = SSF._table[fmtid];\n\t} catch(e) { if(opts.WTF) throw e; }\n}\n\nfunction make_cell(val, ixfe, t) {\n\treturn {v:val, ixfe:ixfe, t:t};\n}\n\n// 2.3.2\nfunction parse_workbook(blob, options) {\n\tvar wb = {opts:{}};\n\tvar Sheets = {};\n\tvar out = {};\n\tvar Directory = {};\n\tvar found_sheet = false;\n\tvar range = {};\n\tvar last_formula = null;\n\tvar sst = [];\n\tvar cur_sheet = \"\";\n\tvar Preamble = {};\n\tvar lastcell, last_cell, cc, cmnt, rng, rngC, rngR;\n\tvar shared_formulae = {};\n\tvar array_formulae = []; /* TODO: something more clever */\n\tvar temp_val;\n\tvar country;\n\tvar cell_valid = true;\n\tvar XFs = []; /* XF records */\n\tvar palette = [];\n\tvar get_rgb = function getrgb(icv) {\n\t\tif(icv < 8) return XLSIcv[icv];\n\t\tif(icv < 64) return palette[icv-8] || XLSIcv[icv];\n\t\treturn XLSIcv[icv];\n\t};\n\tvar process_cell_style = function pcs(cell, line) {\n\t\tvar xfd = line.XF.data;\n\t\tif(!xfd || !xfd.patternType) return;\n\t\tline.s = {};\n\t\tline.s.patternType = xfd.patternType;\n\t\tvar t;\n\t\tif((t = rgb2Hex(get_rgb(xfd.icvFore)))) { line.s.fgColor = {rgb:t}; }\n\t\tif((t = rgb2Hex(get_rgb(xfd.icvBack)))) { line.s.bgColor = {rgb:t}; }\n\t};\n\tvar addcell = function addcell(cell, line, options) {\n\t\tif(!cell_valid) return;\n\t\tif(options.cellStyles && line.XF && line.XF.data) process_cell_style(cell, line);\n\t\tlastcell = cell;\n\t\tlast_cell = encode_cell(cell);\n\t\tif(range.s) {\n\t\t\tif(cell.r < range.s.r) range.s.r = cell.r;\n\t\t\tif(cell.c < range.s.c) range.s.c = cell.c;\n\t\t}\n\t\tif(range.e) {\n\t\t\tif(cell.r + 1 > range.e.r) range.e.r = cell.r + 1;\n\t\t\tif(cell.c + 1 > range.e.c) range.e.c = cell.c + 1;\n\t\t}\n\t\tif(options.sheetRows && lastcell.r >= options.sheetRows) cell_valid = false;\n\t\telse out[last_cell] = line;\n\t};\n\tvar opts = {\n\t\tenc: false, // encrypted\n\t\tsbcch: 0, // cch in the preceding SupBook\n\t\tsnames: [], // sheetnames\n\t\tsharedf: shared_formulae, // shared formulae by address\n\t\tarrayf: array_formulae, // array formulae array\n\t\trrtabid: [], // RRTabId\n\t\tlastuser: \"\", // Last User from WriteAccess\n\t\tbiff: 8, // BIFF version\n\t\tcodepage: 0, // CP from CodePage record\n\t\twinlocked: 0, // fLockWn from WinProtect\n\t\twtf: false\n\t};\n\tif(options.password) opts.password = options.password;\n\tvar mergecells = [];\n\tvar objects = [];\n\tvar supbooks = [[]]; // 1-indexed, will hold extern names\n\tvar sbc = 0, sbci = 0, sbcli = 0;\n\tsupbooks.SheetNames = opts.snames;\n\tsupbooks.sharedf = opts.sharedf;\n\tsupbooks.arrayf = opts.arrayf;\n\tvar last_Rn = '';\n\tvar file_depth = 0; /* TODO: make a real stack */\n\n\t/* explicit override for some broken writers */\n\topts.codepage = 1200;\n\tset_cp(1200);\n\n\twhile(blob.l < blob.length - 1) {\n\t\tvar s = blob.l;\n\t\tvar RecordType = blob.read_shift(2);\n\t\tif(RecordType === 0 && last_Rn === 'EOF') break;\n\t\tvar length = (blob.l === blob.length ? 0 : blob.read_shift(2)), y;\n\t\tvar R = XLSRecordEnum[RecordType];\n\t\tif(R && R.f) {\n\t\t\tif(options.bookSheets) {\n\t\t\t\tif(last_Rn === 'BoundSheet8' && R.n !== 'BoundSheet8') break;\n\t\t\t}\n\t\t\tlast_Rn = R.n;\n\t\t\tif(R.r === 2 || R.r == 12) {\n\t\t\t\tvar rt = blob.read_shift(2); length -= 2;\n\t\t\t\tif(!opts.enc && rt !== RecordType) throw \"rt mismatch\";\n\t\t\t\tif(R.r == 12){ blob.l += 10; length -= 10; } // skip FRT\n\t\t\t}\n\t\t\t//console.error(R,blob.l,length,blob.length);\n\t\t\tvar val;\n\t\t\tif(R.n === 'EOF') val = R.f(blob, length, opts);\n\t\t\telse val = slurp(R, blob, length, opts);\n\t\t\tvar Rn = R.n;\n\t\t\t/* BIFF5 overrides */\n\t\t\tif(opts.biff === 5 || opts.biff === 2) switch(Rn) {\n\t\t\t\tcase 'Lbl': Rn = 'Label'; break;\n\t\t\t}\n\t\t\t/* nested switch statements to workaround V8 128 limit */\n\t\t\tswitch(Rn) {\n\t\t\t\t/* Workbook Options */\n\t\t\t\tcase 'Date1904': wb.opts.Date1904 = val; break;\n\t\t\t\tcase 'WriteProtect': wb.opts.WriteProtect = true; break;\n\t\t\t\tcase 'FilePass':\n\t\t\t\t\tif(!opts.enc) blob.l = 0;\n\t\t\t\t\topts.enc = val;\n\t\t\t\t\tif(opts.WTF) console.error(val);\n\t\t\t\t\tif(!options.password) throw new Error(\"File is password-protected\");\n\t\t\t\t\tif(val.Type !== 0) throw new Error(\"Encryption scheme unsupported\");\n\t\t\t\t\tif(!val.valid) throw new Error(\"Password is incorrect\");\n\t\t\t\t\tbreak;\n\t\t\t\tcase 'WriteAccess': opts.lastuser = val; break;\n\t\t\t\tcase 'FileSharing': break; //TODO\n\t\t\t\tcase 'CodePage':\n\t\t\t\t\t/* overrides based on test cases */\n\t\t\t\t\tif(val === 0x5212) val = 1200;\n\t\t\t\t\telse if(val === 0x8001) val = 1252;\n\t\t\t\t\topts.codepage = val;\n\t\t\t\t\tset_cp(val);\n\t\t\t\t\tbreak;\n\t\t\t\tcase 'RRTabId': opts.rrtabid = val; break;\n\t\t\t\tcase 'WinProtect': opts.winlocked = val; break;\n\t\t\t\tcase 'Template': break; // TODO\n\t\t\t\tcase 'RefreshAll': wb.opts.RefreshAll = val; break;\n\t\t\t\tcase 'BookBool': break; // TODO\n\t\t\t\tcase 'UsesELFs': /* if(val) console.error(\"Unsupported ELFs\"); */ break;\n\t\t\t\tcase 'MTRSettings': {\n\t\t\t\t\tif(val[0] && val[1]) throw \"Unsupported threads: \" + val;\n\t\t\t\t} break; // TODO: actually support threads\n\t\t\t\tcase 'CalcCount': wb.opts.CalcCount = val; break;\n\t\t\t\tcase 'CalcDelta': wb.opts.CalcDelta = val; break;\n\t\t\t\tcase 'CalcIter': wb.opts.CalcIter = val; break;\n\t\t\t\tcase 'CalcMode': wb.opts.CalcMode = val; break;\n\t\t\t\tcase 'CalcPrecision': wb.opts.CalcPrecision = val; break;\n\t\t\t\tcase 'CalcSaveRecalc': wb.opts.CalcSaveRecalc = val; break;\n\t\t\t\tcase 'CalcRefMode': opts.CalcRefMode = val; break; // TODO: implement R1C1\n\t\t\t\tcase 'Uncalced': break;\n\t\t\t\tcase 'ForceFullCalculation': wb.opts.FullCalc = val; break;\n\t\t\t\tcase 'WsBool': break; // TODO\n\t\t\t\tcase 'XF': XFs.push(val); break;\n\t\t\t\tcase 'ExtSST': break; // TODO\n\t\t\t\tcase 'BookExt': break; // TODO\n\t\t\t\tcase 'RichTextStream': break;\n\t\t\t\tcase 'BkHim': break;\n\n\t\t\t\tcase 'SupBook': supbooks[++sbc] = [val]; sbci = 0; break;\n\t\t\t\tcase 'ExternName': supbooks[sbc][++sbci] = val; break;\n\t\t\t\tcase 'Index': break; // TODO\n\t\t\t\tcase 'Lbl': supbooks[0][++sbcli] = val; break;\n\t\t\t\tcase 'ExternSheet': supbooks[sbc] = supbooks[sbc].concat(val); sbci += val.length; break;\n\n\t\t\t\tcase 'Protect': out[\"!protect\"] = val; break; /* for sheet or book */\n\t\t\t\tcase 'Password': if(val !== 0 && opts.WTF) console.error(\"Password verifier: \" + val); break;\n\t\t\t\tcase 'Prot4Rev': case 'Prot4RevPass': break; /*TODO: Revision Control*/\n\n\t\t\t\tcase 'BoundSheet8': {\n\t\t\t\t\tDirectory[val.pos] = val;\n\t\t\t\t\topts.snames.push(val.name);\n\t\t\t\t} break;\n\t\t\t\tcase 'EOF': {\n\t\t\t\t\tif(--file_depth) break;\n\t\t\t\t\tif(range.e) {\n\t\t\t\t\t\tout[\"!range\"] = range;\n\t\t\t\t\t\tif(range.e.r > 0 && range.e.c > 0) {\n\t\t\t\t\t\t\trange.e.r--; range.e.c--;\n\t\t\t\t\t\t\tout[\"!ref\"] = encode_range(range);\n\t\t\t\t\t\t\trange.e.r++; range.e.c++;\n\t\t\t\t\t\t}\n\t\t\t\t\t\tif(mergecells.length > 0) out[\"!merges\"] = mergecells;\n\t\t\t\t\t\tif(objects.length > 0) out[\"!objects\"] = objects;\n\t\t\t\t\t}\n\t\t\t\t\tif(cur_sheet === \"\") Preamble = out; else Sheets[cur_sheet] = out;\n\t\t\t\t\tout = {};\n\t\t\t\t} break;\n\t\t\t\tcase 'BOF': {\n\t\t\t\t\tif(opts.biff !== 8);\n\t\t\t\t\telse if(val.BIFFVer === 0x0500) opts.biff = 5;\n\t\t\t\t\telse if(val.BIFFVer === 0x0002) opts.biff = 2;\n\t\t\t\t\telse if(val.BIFFVer === 0x0007) opts.biff = 2;\n\t\t\t\t\tif(file_depth++) break;\n\t\t\t\t\tcell_valid = true;\n\t\t\t\t\tout = {};\n\t\t\t\t\tif(opts.biff === 2) {\n\t\t\t\t\t\tif(cur_sheet === \"\") cur_sheet = \"Sheet1\";\n\t\t\t\t\t\trange = {s:{r:0,c:0},e:{r:0,c:0}};\n\t\t\t\t\t}\n\t\t\t\t\telse cur_sheet = (Directory[s] || {name:\"\"}).name;\n\t\t\t\t\tmergecells = [];\n\t\t\t\t\tobjects = [];\n\t\t\t\t} break;\n\t\t\t\tcase 'Number': case 'BIFF2NUM': {\n\t\t\t\t\ttemp_val = {ixfe: val.ixfe, XF: XFs[val.ixfe], v:val.val, t:'n'};\n\t\t\t\t\tif(temp_val.XF) safe_format_xf(temp_val, options, wb.opts.Date1904);\n\t\t\t\t\taddcell({c:val.c, r:val.r}, temp_val, options);\n\t\t\t\t} break;\n\t\t\t\tcase 'BoolErr': {\n\t\t\t\t\ttemp_val = {ixfe: val.ixfe, XF: XFs[val.ixfe], v:val.val, t:val.t};\n\t\t\t\t\tif(temp_val.XF) safe_format_xf(temp_val, options, wb.opts.Date1904);\n\t\t\t\t\taddcell({c:val.c, r:val.r}, temp_val, options);\n\t\t\t\t} break;\n\t\t\t\tcase 'RK': {\n\t\t\t\t\ttemp_val = {ixfe: val.ixfe, XF: XFs[val.ixfe], v:val.rknum, t:'n'};\n\t\t\t\t\tif(temp_val.XF) safe_format_xf(temp_val, options, wb.opts.Date1904);\n\t\t\t\t\taddcell({c:val.c, r:val.r}, temp_val, options);\n\t\t\t\t} break;\n\t\t\t\tcase 'MulRk': {\n\t\t\t\t\tfor(var j = val.c; j <= val.C; ++j) {\n\t\t\t\t\t\tvar ixfe = val.rkrec[j-val.c][0];\n\t\t\t\t\t\ttemp_val= {ixfe:ixfe, XF:XFs[ixfe], v:val.rkrec[j-val.c][1], t:'n'};\n\t\t\t\t\t\tif(temp_val.XF) safe_format_xf(temp_val, options, wb.opts.Date1904);\n\t\t\t\t\t\taddcell({c:j, r:val.r}, temp_val, options);\n\t\t\t\t\t}\n\t\t\t\t} break;\n\t\t\t\tcase 'Formula': {\n\t\t\t\t\tswitch(val.val) {\n\t\t\t\t\t\tcase 'String': last_formula = val; break;\n\t\t\t\t\t\tcase 'Array Formula': throw \"Array Formula unsupported\";\n\t\t\t\t\t\tdefault:\n\t\t\t\t\t\t\ttemp_val = {v:val.val, ixfe:val.cell.ixfe, t:val.tt};\n\t\t\t\t\t\t\ttemp_val.XF = XFs[temp_val.ixfe];\n\t\t\t\t\t\t\tif(options.cellFormula) temp_val.f = \"=\"+stringify_formula(val.formula,range,val.cell,supbooks, opts);\n\t\t\t\t\t\t\tif(temp_val.XF) safe_format_xf(temp_val, options, wb.opts.Date1904);\n\t\t\t\t\t\t\taddcell(val.cell, temp_val, options);\n\t\t\t\t\t\t\tlast_formula = val;\n\t\t\t\t\t}\n\t\t\t\t} break;\n\t\t\t\tcase 'String': {\n\t\t\t\t\tif(last_formula) {\n\t\t\t\t\t\tlast_formula.val = val;\n\t\t\t\t\t\ttemp_val = {v:last_formula.val, ixfe:last_formula.cell.ixfe, t:'s'};\n\t\t\t\t\t\ttemp_val.XF = XFs[temp_val.ixfe];\n\t\t\t\t\t\tif(options.cellFormula) temp_val.f = \"=\"+stringify_formula(last_formula.formula, range, last_formula.cell, supbooks, opts);\n\t\t\t\t\t\tif(temp_val.XF) safe_format_xf(temp_val, options, wb.opts.Date1904);\n\t\t\t\t\t\taddcell(last_formula.cell, temp_val, options);\n\t\t\t\t\t\tlast_formula = null;\n\t\t\t\t\t}\n\t\t\t\t} break;\n\t\t\t\tcase 'Array': {\n\t\t\t\t\tarray_formulae.push(val);\n\t\t\t\t} break;\n\t\t\t\tcase 'ShrFmla': {\n\t\t\t\t\tif(!cell_valid) break;\n\t\t\t\t\t//if(options.cellFormula) out[last_cell].f = stringify_formula(val[0], range, lastcell, supbooks, opts);\n\t\t\t\t\t/* TODO: capture range */\n\t\t\t\t\tshared_formulae[encode_cell(last_formula.cell)]= val[0];\n\t\t\t\t} break;\n\t\t\t\tcase 'LabelSst':\n\t\t\t\t\t//temp_val={v:sst[val.isst].t, ixfe:val.ixfe, t:'s'};\n\t\t\t\t\ttemp_val=make_cell(sst[val.isst].t, val.ixfe, 's');\n\t\t\t\t\ttemp_val.XF = XFs[temp_val.ixfe];\n\t\t\t\t\tif(temp_val.XF) safe_format_xf(temp_val, options, wb.opts.Date1904);\n\t\t\t\t\taddcell({c:val.c, r:val.r}, temp_val, options);\n\t\t\t\t\tbreak;\n\t\t\t\tcase 'Label': case 'BIFF2STR':\n\t\t\t\t\t/* Some writers erroneously write Label */\n\t\t\t\t\ttemp_val=make_cell(val.val, val.ixfe, 's');\n\t\t\t\t\ttemp_val.XF = XFs[temp_val.ixfe];\n\t\t\t\t\tif(temp_val.XF) safe_format_xf(temp_val, options, wb.opts.Date1904);\n\t\t\t\t\taddcell({c:val.c, r:val.r}, temp_val, options);\n\t\t\t\t\tbreak;\n\t\t\t\tcase 'Dimensions': {\n\t\t\t\t\tif(file_depth === 1) range = val; /* TODO: stack */\n\t\t\t\t} break;\n\t\t\t\tcase 'SST': {\n\t\t\t\t\tsst = val;\n\t\t\t\t} break;\n\t\t\t\tcase 'Format': { /* val = [id, fmt] */\n\t\t\t\t\tSSF.load(val[1], val[0]);\n\t\t\t\t} break;\n\n\t\t\t\tcase 'MergeCells': mergecells = mergecells.concat(val); break;\n\n\t\t\t\tcase 'Obj': objects[val.cmo[0]] = opts.lastobj = val; break;\n\t\t\t\tcase 'TxO': opts.lastobj.TxO = val; break;\n\n\t\t\t\tcase 'HLink': {\n\t\t\t\t\tfor(rngR = val[0].s.r; rngR <= val[0].e.r; ++rngR)\n\t\t\t\t\t\tfor(rngC = val[0].s.c; rngC <= val[0].e.c; ++rngC)\n\t\t\t\t\t\t\tif(out[encode_cell({c:rngC,r:rngR})])\n\t\t\t\t\t\t\t\tout[encode_cell({c:rngC,r:rngR})].l = val[1];\n\t\t\t\t} break;\n\t\t\t\tcase 'HLinkTooltip': {\n\t\t\t\t\tfor(rngR = val[0].s.r; rngR <= val[0].e.r; ++rngR)\n\t\t\t\t\t\tfor(rngC = val[0].s.c; rngC <= val[0].e.c; ++rngC)\n\t\t\t\t\t\t\tif(out[encode_cell({c:rngC,r:rngR})])\n\t\t\t\t\t\t\t\tout[encode_cell({c:rngC,r:rngR})].l.tooltip = val[1];\n\t\t\t\t} break;\n\n\t\t\t\t/* Comments */\n\t\t\t\tcase 'Note': {\n\t\t\t\t\tif(opts.biff <= 5 && opts.biff >= 2) break; /* TODO: BIFF5 */\n\t\t\t\t\tcc = out[encode_cell(val[0])];\n\t\t\t\t\tvar noteobj = objects[val[2]];\n\t\t\t\t\tif(!cc) break;\n\t\t\t\t\tif(!cc.c) cc.c = [];\n\t\t\t\t\tcmnt = {a:val[1],t:noteobj.TxO.t};\n\t\t\t\t\tcc.c.push(cmnt);\n\t\t\t\t} break;\n\n\t\t\t\tdefault: switch(R.n) { /* nested */\n\t\t\t\tcase 'ClrtClient': break;\n\t\t\t\tcase 'XFExt': update_xfext(XFs[val.ixfe], val.ext); break;\n\n\t\t\t\tcase 'NameCmt': break;\n\t\t\t\tcase 'Header': break; // TODO\n\t\t\t\tcase 'Footer': break; // TODO\n\t\t\t\tcase 'HCenter': break; // TODO\n\t\t\t\tcase 'VCenter': break; // TODO\n\t\t\t\tcase 'Pls': break; // TODO\n\t\t\t\tcase 'Setup': break; // TODO\n\t\t\t\tcase 'DefColWidth': break; // TODO\n\t\t\t\tcase 'GCW': break;\n\t\t\t\tcase 'LHRecord': break;\n\t\t\t\tcase 'ColInfo': break; // TODO\n\t\t\t\tcase 'Row': break; // TODO\n\t\t\t\tcase 'DBCell': break; // TODO\n\t\t\t\tcase 'MulBlank': break; // TODO\n\t\t\t\tcase 'EntExU2': break; // TODO\n\t\t\t\tcase 'SxView': break; // TODO\n\t\t\t\tcase 'Sxvd': break; // TODO\n\t\t\t\tcase 'SXVI': break; // TODO\n\t\t\t\tcase 'SXVDEx': break; // TODO\n\t\t\t\tcase 'SxIvd': break; // TODO\n\t\t\t\tcase 'SXDI': break; // TODO\n\t\t\t\tcase 'SXLI': break; // TODO\n\t\t\t\tcase 'SXEx': break; // TODO\n\t\t\t\tcase 'QsiSXTag': break; // TODO\n\t\t\t\tcase 'Selection': break;\n\t\t\t\tcase 'Feat': break;\n\t\t\t\tcase 'FeatHdr': case 'FeatHdr11': break;\n\t\t\t\tcase 'Feature11': case 'Feature12': case 'List12': break;\n\t\t\t\tcase 'Blank': break;\n\t\t\t\tcase 'Country': country = val; break;\n\t\t\t\tcase 'RecalcId': break;\n\t\t\t\tcase 'DefaultRowHeight': case 'DxGCol': break; // TODO: htmlify\n\t\t\t\tcase 'Fbi': case 'Fbi2': case 'GelFrame': break;\n\t\t\t\tcase 'Font': break; // TODO\n\t\t\t\tcase 'XFCRC': break; // TODO\n\t\t\t\tcase 'Style': break; // TODO\n\t\t\t\tcase 'StyleExt': break; // TODO\n\t\t\t\tcase 'Palette': palette = val; break; // TODO\n\t\t\t\tcase 'Theme': break; // TODO\n\t\t\t\t/* Protection */\n\t\t\t\tcase 'ScenarioProtect': break;\n\t\t\t\tcase 'ObjProtect': break;\n\n\t\t\t\t/* Conditional Formatting */\n\t\t\t\tcase 'CondFmt12': break;\n\n\t\t\t\t/* Table */\n\t\t\t\tcase 'Table': break; // TODO\n\t\t\t\tcase 'TableStyles': break; // TODO\n\t\t\t\tcase 'TableStyle': break; // TODO\n\t\t\t\tcase 'TableStyleElement': break; // TODO\n\n\t\t\t\t/* PivotTable */\n\t\t\t\tcase 'SXStreamID': break; // TODO\n\t\t\t\tcase 'SXVS': break; // TODO\n\t\t\t\tcase 'DConRef': break; // TODO\n\t\t\t\tcase 'SXAddl': break; // TODO\n\t\t\t\tcase 'DConBin': break; // TODO\n\t\t\t\tcase 'DConName': break; // TODO\n\t\t\t\tcase 'SXPI': break; // TODO\n\t\t\t\tcase 'SxFormat': break; // TODO\n\t\t\t\tcase 'SxSelect': break; // TODO\n\t\t\t\tcase 'SxRule': break; // TODO\n\t\t\t\tcase 'SxFilt': break; // TODO\n\t\t\t\tcase 'SxItm': break; // TODO\n\t\t\t\tcase 'SxDXF': break; // TODO\n\n\t\t\t\t/* Scenario Manager */\n\t\t\t\tcase 'ScenMan': break;\n\n\t\t\t\t/* Data Consolidation */\n\t\t\t\tcase 'DCon': break;\n\n\t\t\t\t/* Watched Cell */\n\t\t\t\tcase 'CellWatch': break;\n\n\t\t\t\t/* Print Settings */\n\t\t\t\tcase 'PrintRowCol': break;\n\t\t\t\tcase 'PrintGrid': break;\n\t\t\t\tcase 'PrintSize': break;\n\n\t\t\t\tcase 'XCT': break;\n\t\t\t\tcase 'CRN': break;\n\n\t\t\t\tcase 'Scl': {\n\t\t\t\t\t//console.log(\"Zoom Level:\", val[0]/val[1],val);\n\t\t\t\t} break;\n\t\t\t\tcase 'SheetExt': {\n\n\t\t\t\t} break;\n\t\t\t\tcase 'SheetExtOptional': {\n\n\t\t\t\t} break;\n\n\t\t\t\t/* VBA */\n\t\t\t\tcase 'ObNoMacros': {\n\n\t\t\t\t} break;\n\t\t\t\tcase 'ObProj': {\n\n\t\t\t\t} break;\n\t\t\t\tcase 'CodeName': {\n\n\t\t\t\t} break;\n\t\t\t\tcase 'GUIDTypeLib': {\n\n\t\t\t\t} break;\n\n\t\t\t\tcase 'WOpt': break; // TODO: WTF?\n\t\t\t\tcase 'PhoneticInfo': break;\n\n\t\t\t\tcase 'OleObjectSize': break;\n\n\t\t\t\t/* Differential Formatting */\n\t\t\t\tcase 'DXF': case 'DXFN': case 'DXFN12': case 'DXFN12List': case 'DXFN12NoCB': break;\n\n\t\t\t\t/* Data Validation */\n\t\t\t\tcase 'Dv': case 'DVal': break;\n\n\t\t\t\t/* Data Series */\n\t\t\t\tcase 'BRAI': case 'Series': case 'SeriesText': break;\n\n\t\t\t\t/* Data Connection */\n\t\t\t\tcase 'DConn': break;\n\t\t\t\tcase 'DbOrParamQry': break;\n\t\t\t\tcase 'DBQueryExt': break;\n\n\t\t\t\t/* Formatting */\n\t\t\t\tcase 'IFmtRecord': break;\n\t\t\t\tcase 'CondFmt': case 'CF': case 'CF12': case 'CFEx': break;\n\n\t\t\t\t/* Explicitly Ignored */\n\t\t\t\tcase 'Excel9File': break;\n\t\t\t\tcase 'Units': break;\n\t\t\t\tcase 'InterfaceHdr': case 'Mms': case 'InterfaceEnd': case 'DSF': case 'BuiltInFnGroupCount':\n\t\t\t\t/* View Stuff */\n\t\t\t\tcase 'Window1': case 'Window2': case 'HideObj': case 'GridSet': case 'Guts':\n\t\t\t\tcase 'UserBView': case 'UserSViewBegin': case 'UserSViewEnd':\n\t\t\t\tcase 'Pane': break;\n\t\t\t\tdefault: switch(R.n) { /* nested */\n\t\t\t\t/* Chart */\n\t\t\t\tcase 'Dat':\n\t\t\t\tcase 'Begin': case 'End':\n\t\t\t\tcase 'StartBlock': case 'EndBlock':\n\t\t\t\tcase 'Frame': case 'Area':\n\t\t\t\tcase 'Axis': case 'AxisLine': case 'Tick': break;\n\t\t\t\tcase 'AxesUsed':\n\t\t\t\tcase 'CrtLayout12': case 'CrtLayout12A': case 'CrtLink': case 'CrtLine': case 'CrtMlFrt': case 'CrtMlFrtContinue': break;\n\t\t\t\tcase 'LineFormat': case 'AreaFormat':\n\t\t\t\tcase 'Chart': case 'Chart3d': case 'Chart3DBarShape': case 'ChartFormat': case 'ChartFrtInfo': break;\n\t\t\t\tcase 'PlotArea': case 'PlotGrowth': break;\n\t\t\t\tcase 'SeriesList': case 'SerParent': case 'SerAuxTrend': break;\n\t\t\t\tcase 'DataFormat': case 'SerToCrt': case 'FontX': break;\n\t\t\t\tcase 'CatSerRange': case 'AxcExt': case 'SerFmt': break;\n\t\t\t\tcase 'ShtProps': break;\n\t\t\t\tcase 'DefaultText': case 'Text': case 'CatLab': break;\n\t\t\t\tcase 'DataLabExtContents': break;\n\t\t\t\tcase 'Legend': case 'LegendException': break;\n\t\t\t\tcase 'Pie': case 'Scatter': break;\n\t\t\t\tcase 'PieFormat': case 'MarkerFormat': break;\n\t\t\t\tcase 'StartObject': case 'EndObject': break;\n\t\t\t\tcase 'AlRuns': case 'ObjectLink': break;\n\t\t\t\tcase 'SIIndex': break;\n\t\t\t\tcase 'AttachedLabel': case 'YMult': break;\n\n\t\t\t\t/* Chart Group */\n\t\t\t\tcase 'Line': case 'Bar': break;\n\t\t\t\tcase 'Surf': break;\n\n\t\t\t\t/* Axis Group */\n\t\t\t\tcase 'AxisParent': break;\n\t\t\t\tcase 'Pos': break;\n\t\t\t\tcase 'ValueRange': break;\n\n\t\t\t\t/* Pivot Chart */\n\t\t\t\tcase 'SXViewEx9': break; // TODO\n\t\t\t\tcase 'SXViewLink': break;\n\t\t\t\tcase 'PivotChartBits': break;\n\t\t\t\tcase 'SBaseRef': break;\n\t\t\t\tcase 'TextPropsStream': break;\n\n\t\t\t\t/* Chart Misc */\n\t\t\t\tcase 'LnExt': break;\n\t\t\t\tcase 'MkrExt': break;\n\t\t\t\tcase 'CrtCoopt': break;\n\n\t\t\t\t/* Query Table */\n\t\t\t\tcase 'Qsi': case 'Qsif': case 'Qsir': case 'QsiSXTag': break;\n\t\t\t\tcase 'TxtQry': break;\n\n\t\t\t\t/* Filter */\n\t\t\t\tcase 'FilterMode': break;\n\t\t\t\tcase 'AutoFilter': case 'AutoFilterInfo': break;\n\t\t\t\tcase 'AutoFilter12': break;\n\t\t\t\tcase 'DropDownObjIds': break;\n\t\t\t\tcase 'Sort': break;\n\t\t\t\tcase 'SortData': break;\n\n\t\t\t\t/* Drawing */\n\t\t\t\tcase 'ShapePropsStream': break;\n\t\t\t\tcase 'MsoDrawing': case 'MsoDrawingGroup': case 'MsoDrawingSelection': break;\n\t\t\t\tcase 'ImData': break;\n\t\t\t\t/* Pub Stuff */\n\t\t\t\tcase 'WebPub': case 'AutoWebPub':\n\n\t\t\t\t/* Print Stuff */\n\t\t\t\tcase 'RightMargin': case 'LeftMargin': case 'TopMargin': case 'BottomMargin':\n\t\t\t\tcase 'HeaderFooter': case 'HFPicture': case 'PLV':\n\t\t\t\tcase 'HorizontalPageBreaks': case 'VerticalPageBreaks':\n\t\t\t\t/* Behavioral */\n\t\t\t\tcase 'Backup': case 'CompressPictures': case 'Compat12': break;\n\n\t\t\t\t/* Should not Happen */\n\t\t\t\tcase 'Continue': case 'ContinueFrt12': break;\n\n\t\t\t\t/* Future Records */\n\t\t\t\tcase 'FrtFontList': case 'FrtWrapper': break;\n\n\t\t\t\t/* BIFF5 records */\n\t\t\t\tcase 'ExternCount': break;\n\t\t\t\tcase 'RString': break;\n\t\t\t\tcase 'TabIdConf': case 'Radar': case 'RadarArea': case 'DropBar': case 'Intl': case 'CoordList': case 'SerAuxErrBar': break;\n\n\t\t\t\tdefault: switch(R.n) { /* nested */\n\t\t\t\t/* Miscellaneous */\n\t\t\t\tcase 'SCENARIO': case 'DConBin': case 'PicF': case 'DataLabExt':\n\t\t\t\tcase 'Lel': case 'BopPop': case 'BopPopCustom': case 'RealTimeData':\n\t\t\t\tcase 'Name': break;\n\t\t\t\tdefault: if(options.WTF) throw 'Unrecognized Record ' + R.n;\n\t\t\t}}}}\n\t\t} else blob.l += length;\n\t}\n\tvar sheetnamesraw = opts.biff === 2 ? ['Sheet1'] : Object.keys(Directory).sort(function(a,b) { return Number(a) - Number(b); }).map(function(x){return Directory[x].name;});\n\tvar sheetnames = sheetnamesraw.slice();\n\twb.Directory=sheetnamesraw;\n\twb.SheetNames=sheetnamesraw;\n\tif(!options.bookSheets) wb.Sheets=Sheets;\n\twb.Preamble=Preamble;\n\twb.Strings = sst;\n\twb.SSF = SSF.get_table();\n\tif(opts.enc) wb.Encryption = opts.enc;\n\twb.Metadata = {};\n\tif(country !== undefined) wb.Metadata.Country = country;\n\treturn wb;\n}\n\nfunction parse_xlscfb(cfb, options) {\nif(!options) options = {};\nfix_read_opts(options);\nreset_cp();\nvar CompObj, Summary, Workbook;\nif(cfb.find) {\n\tCompObj = cfb.find('!CompObj');\n\tSummary = cfb.find('!SummaryInformation');\n\tWorkbook = cfb.find('/Workbook');\n} else {\n\tprep_blob(cfb, 0);\n\tWorkbook = {content: cfb};\n}\n\nif(!Workbook) Workbook = cfb.find('/Book');\nvar CompObjP, SummaryP, WorkbookP;\n\nif(CompObj) CompObjP = parse_compobj(CompObj);\nif(options.bookProps && !options.bookSheets) WorkbookP = {};\nelse {\n\tif(Workbook) WorkbookP = parse_workbook(Workbook.content, options, !!Workbook.find);\n\telse throw new Error(\"Cannot find Workbook stream\");\n}\n\nif(cfb.find) parse_props(cfb);\n\nvar props = {};\nfor(var y in cfb.Summary) props[y] = cfb.Summary[y];\nfor(y in cfb.DocSummary) props[y] = cfb.DocSummary[y];\nWorkbookP.Props = WorkbookP.Custprops = props; /* TODO: split up properties */\nif(options.bookFiles) WorkbookP.cfb = cfb;\nWorkbookP.CompObjP = CompObjP;\nreturn WorkbookP;\n}\n\n/* TODO: WTF */\nfunction parse_props(cfb) {\n\t/* [MS-OSHARED] 2.3.3.2.2 Document Summary Information Property Set */\n\tvar DSI = cfb.find('!DocumentSummaryInformation');\n\tif(DSI) try { cfb.DocSummary = parse_PropertySetStream(DSI, DocSummaryPIDDSI); } catch(e) {}\n\n\t/* [MS-OSHARED] 2.3.3.2.1 Summary Information Property Set*/\n\tvar SI = cfb.find('!SummaryInformation');\n\tif(SI) try { cfb.Summary = parse_PropertySetStream(SI, SummaryPIDSI); } catch(e) {}\n}\n\n/* [MS-XLSB] 2.3 Record Enumeration */\nvar XLSBRecordEnum = {\n\t0x0000: { n:\"BrtRowHdr\", f:parse_BrtRowHdr },\n\t0x0001: { n:\"BrtCellBlank\", f:parse_BrtCellBlank },\n\t0x0002: { n:\"BrtCellRk\", f:parse_BrtCellRk },\n\t0x0003: { n:\"BrtCellError\", f:parse_BrtCellError },\n\t0x0004: { n:\"BrtCellBool\", f:parse_BrtCellBool },\n\t0x0005: { n:\"BrtCellReal\", f:parse_BrtCellReal },\n\t0x0006: { n:\"BrtCellSt\", f:parse_BrtCellSt },\n\t0x0007: { n:\"BrtCellIsst\", f:parse_BrtCellIsst },\n\t0x0008: { n:\"BrtFmlaString\", f:parse_BrtFmlaString },\n\t0x0009: { n:\"BrtFmlaNum\", f:parse_BrtFmlaNum },\n\t0x000A: { n:\"BrtFmlaBool\", f:parse_BrtFmlaBool },\n\t0x000B: { n:\"BrtFmlaError\", f:parse_BrtFmlaError },\n\t0x0010: { n:\"BrtFRTArchID$\", f:parse_BrtFRTArchID$ },\n\t0x0013: { n:\"BrtSSTItem\", f:parse_RichStr },\n\t0x0014: { n:\"BrtPCDIMissing\", f:parsenoop },\n\t0x0015: { n:\"BrtPCDINumber\", f:parsenoop },\n\t0x0016: { n:\"BrtPCDIBoolean\", f:parsenoop },\n\t0x0017: { n:\"BrtPCDIError\", f:parsenoop },\n\t0x0018: { n:\"BrtPCDIString\", f:parsenoop },\n\t0x0019: { n:\"BrtPCDIDatetime\", f:parsenoop },\n\t0x001A: { n:\"BrtPCDIIndex\", f:parsenoop },\n\t0x001B: { n:\"BrtPCDIAMissing\", f:parsenoop },\n\t0x001C: { n:\"BrtPCDIANumber\", f:parsenoop },\n\t0x001D: { n:\"BrtPCDIABoolean\", f:parsenoop },\n\t0x001E: { n:\"BrtPCDIAError\", f:parsenoop },\n\t0x001F: { n:\"BrtPCDIAString\", f:parsenoop },\n\t0x0020: { n:\"BrtPCDIADatetime\", f:parsenoop },\n\t0x0021: { n:\"BrtPCRRecord\", f:parsenoop },\n\t0x0022: { n:\"BrtPCRRecordDt\", f:parsenoop },\n\t0x0023: { n:\"BrtFRTBegin\", f:parsenoop },\n\t0x0024: { n:\"BrtFRTEnd\", f:parsenoop },\n\t0x0025: { n:\"BrtACBegin\", f:parsenoop },\n\t0x0026: { n:\"BrtACEnd\", f:parsenoop },\n\t0x0027: { n:\"BrtName\", f:parsenoop },\n\t0x0028: { n:\"BrtIndexRowBlock\", f:parsenoop },\n\t0x002A: { n:\"BrtIndexBlock\", f:parsenoop },\n\t0x002B: { n:\"BrtFont\", f:parse_BrtFont },\n\t0x002C: { n:\"BrtFmt\", f:parse_BrtFmt },\n\t0x002D: { n:\"BrtFill\", f:parsenoop },\n\t0x002E: { n:\"BrtBorder\", f:parsenoop },\n\t0x002F: { n:\"BrtXF\", f:parse_BrtXF },\n\t0x0030: { n:\"BrtStyle\", f:parsenoop },\n\t0x0031: { n:\"BrtCellMeta\", f:parsenoop },\n\t0x0032: { n:\"BrtValueMeta\", f:parsenoop },\n\t0x0033: { n:\"BrtMdb\", f:parsenoop },\n\t0x0034: { n:\"BrtBeginFmd\", f:parsenoop },\n\t0x0035: { n:\"BrtEndFmd\", f:parsenoop },\n\t0x0036: { n:\"BrtBeginMdx\", f:parsenoop },\n\t0x0037: { n:\"BrtEndMdx\", f:parsenoop },\n\t0x0038: { n:\"BrtBeginMdxTuple\", f:parsenoop },\n\t0x0039: { n:\"BrtEndMdxTuple\", f:parsenoop },\n\t0x003A: { n:\"BrtMdxMbrIstr\", f:parsenoop },\n\t0x003B: { n:\"BrtStr\", f:parsenoop },\n\t0x003C: { n:\"BrtColInfo\", f:parsenoop },\n\t0x003E: { n:\"BrtCellRString\", f:parsenoop },\n\t0x003F: { n:\"BrtCalcChainItem$\", f:parse_BrtCalcChainItem$ },\n\t0x0040: { n:\"BrtDVal\", f:parsenoop },\n\t0x0041: { n:\"BrtSxvcellNum\", f:parsenoop },\n\t0x0042: { n:\"BrtSxvcellStr\", f:parsenoop },\n\t0x0043: { n:\"BrtSxvcellBool\", f:parsenoop },\n\t0x0044: { n:\"BrtSxvcellErr\", f:parsenoop },\n\t0x0045: { n:\"BrtSxvcellDate\", f:parsenoop },\n\t0x0046: { n:\"BrtSxvcellNil\", f:parsenoop },\n\t0x0080: { n:\"BrtFileVersion\", f:parsenoop },\n\t0x0081: { n:\"BrtBeginSheet\", f:parsenoop },\n\t0x0082: { n:\"BrtEndSheet\", f:parsenoop },\n\t0x0083: { n:\"BrtBeginBook\", f:parsenoop, p:0 },\n\t0x0084: { n:\"BrtEndBook\", f:parsenoop },\n\t0x0085: { n:\"BrtBeginWsViews\", f:parsenoop },\n\t0x0086: { n:\"BrtEndWsViews\", f:parsenoop },\n\t0x0087: { n:\"BrtBeginBookViews\", f:parsenoop },\n\t0x0088: { n:\"BrtEndBookViews\", f:parsenoop },\n\t0x0089: { n:\"BrtBeginWsView\", f:parsenoop },\n\t0x008A: { n:\"BrtEndWsView\", f:parsenoop },\n\t0x008B: { n:\"BrtBeginCsViews\", f:parsenoop },\n\t0x008C: { n:\"BrtEndCsViews\", f:parsenoop },\n\t0x008D: { n:\"BrtBeginCsView\", f:parsenoop },\n\t0x008E: { n:\"BrtEndCsView\", f:parsenoop },\n\t0x008F: { n:\"BrtBeginBundleShs\", f:parsenoop },\n\t0x0090: { n:\"BrtEndBundleShs\", f:parsenoop },\n\t0x0091: { n:\"BrtBeginSheetData\", f:parsenoop },\n\t0x0092: { n:\"BrtEndSheetData\", f:parsenoop },\n\t0x0093: { n:\"BrtWsProp\", f:parse_BrtWsProp },\n\t0x0094: { n:\"BrtWsDim\", f:parse_BrtWsDim, p:16 },\n\t0x0097: { n:\"BrtPane\", f:parsenoop },\n\t0x0098: { n:\"BrtSel\", f:parsenoop },\n\t0x0099: { n:\"BrtWbProp\", f:parse_BrtWbProp },\n\t0x009A: { n:\"BrtWbFactoid\", f:parsenoop },\n\t0x009B: { n:\"BrtFileRecover\", f:parsenoop },\n\t0x009C: { n:\"BrtBundleSh\", f:parse_BrtBundleSh },\n\t0x009D: { n:\"BrtCalcProp\", f:parsenoop },\n\t0x009E: { n:\"BrtBookView\", f:parsenoop },\n\t0x009F: { n:\"BrtBeginSst\", f:parse_BrtBeginSst },\n\t0x00A0: { n:\"BrtEndSst\", f:parsenoop },\n\t0x00A1: { n:\"BrtBeginAFilter\", f:parsenoop },\n\t0x00A2: { n:\"BrtEndAFilter\", f:parsenoop },\n\t0x00A3: { n:\"BrtBeginFilterColumn\", f:parsenoop },\n\t0x00A4: { n:\"BrtEndFilterColumn\", f:parsenoop },\n\t0x00A5: { n:\"BrtBeginFilters\", f:parsenoop },\n\t0x00A6: { n:\"BrtEndFilters\", f:parsenoop },\n\t0x00A7: { n:\"BrtFilter\", f:parsenoop },\n\t0x00A8: { n:\"BrtColorFilter\", f:parsenoop },\n\t0x00A9: { n:\"BrtIconFilter\", f:parsenoop },\n\t0x00AA: { n:\"BrtTop10Filter\", f:parsenoop },\n\t0x00AB: { n:\"BrtDynamicFilter\", f:parsenoop },\n\t0x00AC: { n:\"BrtBeginCustomFilters\", f:parsenoop },\n\t0x00AD: { n:\"BrtEndCustomFilters\", f:parsenoop },\n\t0x00AE: { n:\"BrtCustomFilter\", f:parsenoop },\n\t0x00AF: { n:\"BrtAFilterDateGroupItem\", f:parsenoop },\n\t0x00B0: { n:\"BrtMergeCell\", f:parse_BrtMergeCell },\n\t0x00B1: { n:\"BrtBeginMergeCells\", f:parsenoop },\n\t0x00B2: { n:\"BrtEndMergeCells\", f:parsenoop },\n\t0x00B3: { n:\"BrtBeginPivotCacheDef\", f:parsenoop },\n\t0x00B4: { n:\"BrtEndPivotCacheDef\", f:parsenoop },\n\t0x00B5: { n:\"BrtBeginPCDFields\", f:parsenoop },\n\t0x00B6: { n:\"BrtEndPCDFields\", f:parsenoop },\n\t0x00B7: { n:\"BrtBeginPCDField\", f:parsenoop },\n\t0x00B8: { n:\"BrtEndPCDField\", f:parsenoop },\n\t0x00B9: { n:\"BrtBeginPCDSource\", f:parsenoop },\n\t0x00BA: { n:\"BrtEndPCDSource\", f:parsenoop },\n\t0x00BB: { n:\"BrtBeginPCDSRange\", f:parsenoop },\n\t0x00BC: { n:\"BrtEndPCDSRange\", f:parsenoop },\n\t0x00BD: { n:\"BrtBeginPCDFAtbl\", f:parsenoop },\n\t0x00BE: { n:\"BrtEndPCDFAtbl\", f:parsenoop },\n\t0x00BF: { n:\"BrtBeginPCDIRun\", f:parsenoop },\n\t0x00C0: { n:\"BrtEndPCDIRun\", f:parsenoop },\n\t0x00C1: { n:\"BrtBeginPivotCacheRecords\", f:parsenoop },\n\t0x00C2: { n:\"BrtEndPivotCacheRecords\", f:parsenoop },\n\t0x00C3: { n:\"BrtBeginPCDHierarchies\", f:parsenoop },\n\t0x00C4: { n:\"BrtEndPCDHierarchies\", f:parsenoop },\n\t0x00C5: { n:\"BrtBeginPCDHierarchy\", f:parsenoop },\n\t0x00C6: { n:\"BrtEndPCDHierarchy\", f:parsenoop },\n\t0x00C7: { n:\"BrtBeginPCDHFieldsUsage\", f:parsenoop },\n\t0x00C8: { n:\"BrtEndPCDHFieldsUsage\", f:parsenoop },\n\t0x00C9: { n:\"BrtBeginExtConnection\", f:parsenoop },\n\t0x00CA: { n:\"BrtEndExtConnection\", f:parsenoop },\n\t0x00CB: { n:\"BrtBeginECDbProps\", f:parsenoop },\n\t0x00CC: { n:\"BrtEndECDbProps\", f:parsenoop },\n\t0x00CD: { n:\"BrtBeginECOlapProps\", f:parsenoop },\n\t0x00CE: { n:\"BrtEndECOlapProps\", f:parsenoop },\n\t0x00CF: { n:\"BrtBeginPCDSConsol\", f:parsenoop },\n\t0x00D0: { n:\"BrtEndPCDSConsol\", f:parsenoop },\n\t0x00D1: { n:\"BrtBeginPCDSCPages\", f:parsenoop },\n\t0x00D2: { n:\"BrtEndPCDSCPages\", f:parsenoop },\n\t0x00D3: { n:\"BrtBeginPCDSCPage\", f:parsenoop },\n\t0x00D4: { n:\"BrtEndPCDSCPage\", f:parsenoop },\n\t0x00D5: { n:\"BrtBeginPCDSCPItem\", f:parsenoop },\n\t0x00D6: { n:\"BrtEndPCDSCPItem\", f:parsenoop },\n\t0x00D7: { n:\"BrtBeginPCDSCSets\", f:parsenoop },\n\t0x00D8: { n:\"BrtEndPCDSCSets\", f:parsenoop },\n\t0x00D9: { n:\"BrtBeginPCDSCSet\", f:parsenoop },\n\t0x00DA: { n:\"BrtEndPCDSCSet\", f:parsenoop },\n\t0x00DB: { n:\"BrtBeginPCDFGroup\", f:parsenoop },\n\t0x00DC: { n:\"BrtEndPCDFGroup\", f:parsenoop },\n\t0x00DD: { n:\"BrtBeginPCDFGItems\", f:parsenoop },\n\t0x00DE: { n:\"BrtEndPCDFGItems\", f:parsenoop },\n\t0x00DF: { n:\"BrtBeginPCDFGRange\", f:parsenoop },\n\t0x00E0: { n:\"BrtEndPCDFGRange\", f:parsenoop },\n\t0x00E1: { n:\"BrtBeginPCDFGDiscrete\", f:parsenoop },\n\t0x00E2: { n:\"BrtEndPCDFGDiscrete\", f:parsenoop },\n\t0x00E3: { n:\"BrtBeginPCDSDTupleCache\", f:parsenoop },\n\t0x00E4: { n:\"BrtEndPCDSDTupleCache\", f:parsenoop },\n\t0x00E5: { n:\"BrtBeginPCDSDTCEntries\", f:parsenoop },\n\t0x00E6: { n:\"BrtEndPCDSDTCEntries\", f:parsenoop },\n\t0x00E7: { n:\"BrtBeginPCDSDTCEMembers\", f:parsenoop },\n\t0x00E8: { n:\"BrtEndPCDSDTCEMembers\", f:parsenoop },\n\t0x00E9: { n:\"BrtBeginPCDSDTCEMember\", f:parsenoop },\n\t0x00EA: { n:\"BrtEndPCDSDTCEMember\", f:parsenoop },\n\t0x00EB: { n:\"BrtBeginPCDSDTCQueries\", f:parsenoop },\n\t0x00EC: { n:\"BrtEndPCDSDTCQueries\", f:parsenoop },\n\t0x00ED: { n:\"BrtBeginPCDSDTCQuery\", f:parsenoop },\n\t0x00EE: { n:\"BrtEndPCDSDTCQuery\", f:parsenoop },\n\t0x00EF: { n:\"BrtBeginPCDSDTCSets\", f:parsenoop },\n\t0x00F0: { n:\"BrtEndPCDSDTCSets\", f:parsenoop },\n\t0x00F1: { n:\"BrtBeginPCDSDTCSet\", f:parsenoop },\n\t0x00F2: { n:\"BrtEndPCDSDTCSet\", f:parsenoop },\n\t0x00F3: { n:\"BrtBeginPCDCalcItems\", f:parsenoop },\n\t0x00F4: { n:\"BrtEndPCDCalcItems\", f:parsenoop },\n\t0x00F5: { n:\"BrtBeginPCDCalcItem\", f:parsenoop },\n\t0x00F6: { n:\"BrtEndPCDCalcItem\", f:parsenoop },\n\t0x00F7: { n:\"BrtBeginPRule\", f:parsenoop },\n\t0x00F8: { n:\"BrtEndPRule\", f:parsenoop },\n\t0x00F9: { n:\"BrtBeginPRFilters\", f:parsenoop },\n\t0x00FA: { n:\"BrtEndPRFilters\", f:parsenoop },\n\t0x00FB: { n:\"BrtBeginPRFilter\", f:parsenoop },\n\t0x00FC: { n:\"BrtEndPRFilter\", f:parsenoop },\n\t0x00FD: { n:\"BrtBeginPNames\", f:parsenoop },\n\t0x00FE: { n:\"BrtEndPNames\", f:parsenoop },\n\t0x00FF: { n:\"BrtBeginPName\", f:parsenoop },\n\t0x0100: { n:\"BrtEndPName\", f:parsenoop },\n\t0x0101: { n:\"BrtBeginPNPairs\", f:parsenoop },\n\t0x0102: { 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f:parsenoop },\n\t0x0492: { n:\"BrtEndCellIgnoreECs14\", f:parsenoop },\n\t0x0493: { n:\"BrtDxf14\", f:parsenoop },\n\t0x0494: { n:\"BrtBeginDxF14s\", f:parsenoop },\n\t0x0495: { n:\"BrtEndDxf14s\", f:parsenoop },\n\t0x0499: { n:\"BrtFilter14\", f:parsenoop },\n\t0x049A: { n:\"BrtBeginCustomFilters14\", f:parsenoop },\n\t0x049C: { n:\"BrtCustomFilter14\", f:parsenoop },\n\t0x049D: { n:\"BrtIconFilter14\", f:parsenoop },\n\t0x049E: { n:\"BrtPivotCacheConnectionName\", f:parsenoop },\n\t0x0800: { n:\"BrtBeginDecoupledPivotCacheIDs\", f:parsenoop },\n\t0x0801: { n:\"BrtEndDecoupledPivotCacheIDs\", f:parsenoop },\n\t0x0802: { n:\"BrtDecoupledPivotCacheID\", f:parsenoop },\n\t0x0803: { n:\"BrtBeginPivotTableRefs\", f:parsenoop },\n\t0x0804: { n:\"BrtEndPivotTableRefs\", f:parsenoop },\n\t0x0805: { n:\"BrtPivotTableRef\", f:parsenoop },\n\t0x0806: { n:\"BrtSlicerCacheBookPivotTables\", f:parsenoop },\n\t0x0807: { n:\"BrtBeginSxvcells\", f:parsenoop },\n\t0x0808: { n:\"BrtEndSxvcells\", f:parsenoop },\n\t0x0809: { n:\"BrtBeginSxRow\", f:parsenoop },\n\t0x080A: { n:\"BrtEndSxRow\", f:parsenoop },\n\t0x080C: { n:\"BrtPcdCalcMem15\", f:parsenoop },\n\t0x0813: { n:\"BrtQsi15\", f:parsenoop },\n\t0x0814: { n:\"BrtBeginWebExtensions\", f:parsenoop },\n\t0x0815: { n:\"BrtEndWebExtensions\", f:parsenoop },\n\t0x0816: { n:\"BrtWebExtension\", f:parsenoop },\n\t0x0817: { n:\"BrtAbsPath15\", f:parsenoop },\n\t0x0818: { n:\"BrtBeginPivotTableUISettings\", f:parsenoop },\n\t0x0819: { n:\"BrtEndPivotTableUISettings\", f:parsenoop },\n\t0x081B: { n:\"BrtTableSlicerCacheIDs\", f:parsenoop },\n\t0x081C: { n:\"BrtTableSlicerCacheID\", f:parsenoop },\n\t0x081D: { n:\"BrtBeginTableSlicerCache\", f:parsenoop },\n\t0x081E: { n:\"BrtEndTableSlicerCache\", f:parsenoop },\n\t0x081F: { n:\"BrtSxFilter15\", f:parsenoop },\n\t0x0820: { n:\"BrtBeginTimelineCachePivotCacheIDs\", f:parsenoop },\n\t0x0821: { n:\"BrtEndTimelineCachePivotCacheIDs\", f:parsenoop },\n\t0x0822: { n:\"BrtTimelineCachePivotCacheID\", f:parsenoop },\n\t0x0823: { n:\"BrtBeginTimelineCacheIDs\", f:parsenoop },\n\t0x0824: { n:\"BrtEndTimelineCacheIDs\", f:parsenoop },\n\t0x0825: { n:\"BrtBeginTimelineCacheID\", f:parsenoop },\n\t0x0826: { n:\"BrtEndTimelineCacheID\", f:parsenoop },\n\t0x0827: { n:\"BrtBeginTimelinesEx\", f:parsenoop },\n\t0x0828: { n:\"BrtEndTimelinesEx\", f:parsenoop },\n\t0x0829: { n:\"BrtBeginTimelineEx\", f:parsenoop },\n\t0x082A: { n:\"BrtEndTimelineEx\", f:parsenoop },\n\t0x082B: { n:\"BrtWorkBookPr15\", f:parsenoop },\n\t0x082C: { n:\"BrtPCDH15\", f:parsenoop },\n\t0x082D: { n:\"BrtBeginTimelineStyle\", f:parsenoop },\n\t0x082E: { n:\"BrtEndTimelineStyle\", f:parsenoop },\n\t0x082F: { n:\"BrtTimelineStyleElement\", f:parsenoop },\n\t0x0830: { n:\"BrtBeginTimelineStylesheetExt15\", f:parsenoop },\n\t0x0831: { n:\"BrtEndTimelineStylesheetExt15\", f:parsenoop },\n\t0x0832: { n:\"BrtBeginTimelineStyles\", f:parsenoop },\n\t0x0833: { n:\"BrtEndTimelineStyles\", f:parsenoop },\n\t0x0834: { n:\"BrtBeginTimelineStyleElements\", f:parsenoop },\n\t0x0835: { n:\"BrtEndTimelineStyleElements\", f:parsenoop },\n\t0x0836: { n:\"BrtDxf15\", f:parsenoop },\n\t0x0837: { n:\"BrtBeginDxfs15\", f:parsenoop },\n\t0x0838: { n:\"brtEndDxfs15\", f:parsenoop },\n\t0x0839: { n:\"BrtSlicerCacheHideItemsWithNoData\", f:parsenoop },\n\t0x083A: { n:\"BrtBeginItemUniqueNames\", f:parsenoop },\n\t0x083B: { n:\"BrtEndItemUniqueNames\", f:parsenoop },\n\t0x083C: { n:\"BrtItemUniqueName\", f:parsenoop },\n\t0x083D: { n:\"BrtBeginExtConn15\", f:parsenoop },\n\t0x083E: { n:\"BrtEndExtConn15\", f:parsenoop },\n\t0x083F: { n:\"BrtBeginOledbPr15\", f:parsenoop },\n\t0x0840: { n:\"BrtEndOledbPr15\", f:parsenoop },\n\t0x0841: { n:\"BrtBeginDataFeedPr15\", f:parsenoop },\n\t0x0842: { n:\"BrtEndDataFeedPr15\", f:parsenoop },\n\t0x0843: { n:\"BrtTextPr15\", f:parsenoop },\n\t0x0844: { n:\"BrtRangePr15\", f:parsenoop },\n\t0x0845: { n:\"BrtDbCommand15\", f:parsenoop },\n\t0x0846: { n:\"BrtBeginDbTables15\", f:parsenoop },\n\t0x0847: { n:\"BrtEndDbTables15\", f:parsenoop },\n\t0x0848: { n:\"BrtDbTable15\", f:parsenoop },\n\t0x0849: { n:\"BrtBeginDataModel\", f:parsenoop },\n\t0x084A: { n:\"BrtEndDataModel\", f:parsenoop },\n\t0x084B: { n:\"BrtBeginModelTables\", f:parsenoop },\n\t0x084C: { n:\"BrtEndModelTables\", f:parsenoop },\n\t0x084D: { n:\"BrtModelTable\", f:parsenoop },\n\t0x084E: { n:\"BrtBeginModelRelationships\", f:parsenoop },\n\t0x084F: { n:\"BrtEndModelRelationships\", f:parsenoop },\n\t0x0850: { n:\"BrtModelRelationship\", f:parsenoop },\n\t0x0851: { n:\"BrtBeginECTxtWiz15\", f:parsenoop },\n\t0x0852: { n:\"BrtEndECTxtWiz15\", f:parsenoop },\n\t0x0853: { n:\"BrtBeginECTWFldInfoLst15\", f:parsenoop },\n\t0x0854: { n:\"BrtEndECTWFldInfoLst15\", f:parsenoop },\n\t0x0855: { n:\"BrtBeginECTWFldInfo15\", f:parsenoop },\n\t0x0856: { n:\"BrtFieldListActiveItem\", f:parsenoop },\n\t0x0857: { n:\"BrtPivotCacheIdVersion\", f:parsenoop },\n\t0x0858: { n:\"BrtSXDI15\", f:parsenoop },\n\t0xFFFF: { n:\"\", f:parsenoop }\n};\n\nvar evert_RE = evert_key(XLSBRecordEnum, 'n');\n\n/* [MS-XLS] 2.3 Record Enumeration */\nvar XLSRecordEnum = {\n\t0x0003: { n:\"BIFF2NUM\", f:parse_BIFF2NUM },\n\t0x0004: { n:\"BIFF2STR\", f:parse_BIFF2STR },\n\t0x0006: { n:\"Formula\", f:parse_Formula },\n\t0x0009: { n:'BOF', f:parse_BOF },\n\t0x000a: { n:'EOF', f:parse_EOF },\n\t0x000c: { n:\"CalcCount\", f:parse_CalcCount },\n\t0x000d: { n:\"CalcMode\", f:parse_CalcMode },\n\t0x000e: { n:\"CalcPrecision\", f:parse_CalcPrecision },\n\t0x000f: { n:\"CalcRefMode\", f:parse_CalcRefMode },\n\t0x0010: { n:\"CalcDelta\", f:parse_CalcDelta },\n\t0x0011: { n:\"CalcIter\", f:parse_CalcIter },\n\t0x0012: { n:\"Protect\", f:parse_Protect },\n\t0x0013: { n:\"Password\", f:parse_Password },\n\t0x0014: { n:\"Header\", f:parse_Header },\n\t0x0015: { n:\"Footer\", f:parse_Footer },\n\t0x0017: { n:\"ExternSheet\", f:parse_ExternSheet },\n\t0x0018: { n:\"Lbl\", f:parse_Lbl },\n\t0x0019: { n:\"WinProtect\", f:parse_WinProtect },\n\t0x001a: { n:\"VerticalPageBreaks\", f:parse_VerticalPageBreaks },\n\t0x001b: { n:\"HorizontalPageBreaks\", f:parse_HorizontalPageBreaks },\n\t0x001c: { n:\"Note\", f:parse_Note },\n\t0x001d: { n:\"Selection\", f:parse_Selection },\n\t0x0022: { n:\"Date1904\", f:parse_Date1904 },\n\t0x0023: { n:\"ExternName\", f:parse_ExternName },\n\t0x0026: { n:\"LeftMargin\", f:parse_LeftMargin },\n\t0x0027: { n:\"RightMargin\", f:parse_RightMargin },\n\t0x0028: { n:\"TopMargin\", f:parse_TopMargin },\n\t0x0029: { n:\"BottomMargin\", f:parse_BottomMargin },\n\t0x002a: { n:\"PrintRowCol\", f:parse_PrintRowCol },\n\t0x002b: { n:\"PrintGrid\", f:parse_PrintGrid },\n\t0x002f: { n:\"FilePass\", f:parse_FilePass },\n\t0x0031: { n:\"Font\", f:parse_Font },\n\t0x0033: { n:\"PrintSize\", f:parse_PrintSize },\n\t0x003c: { n:\"Continue\", f:parse_Continue },\n\t0x003d: { n:\"Window1\", f:parse_Window1 },\n\t0x0040: { n:\"Backup\", f:parse_Backup },\n\t0x0041: { n:\"Pane\", f:parse_Pane },\n\t0x0042: { n:'CodePage', f:parse_CodePage },\n\t0x004d: { n:\"Pls\", f:parse_Pls },\n\t0x0050: { n:\"DCon\", f:parse_DCon },\n\t0x0051: { n:\"DConRef\", f:parse_DConRef },\n\t0x0052: { n:\"DConName\", f:parse_DConName },\n\t0x0055: { n:\"DefColWidth\", f:parse_DefColWidth },\n\t0x0059: { n:\"XCT\", f:parse_XCT },\n\t0x005a: { n:\"CRN\", f:parse_CRN },\n\t0x005b: { n:\"FileSharing\", f:parse_FileSharing },\n\t0x005c: { n:'WriteAccess', f:parse_WriteAccess },\n\t0x005d: { n:\"Obj\", f:parse_Obj },\n\t0x005e: { n:\"Uncalced\", f:parse_Uncalced },\n\t0x005f: { n:\"CalcSaveRecalc\", f:parse_CalcSaveRecalc },\n\t0x0060: { n:\"Template\", f:parse_Template },\n\t0x0061: { n:\"Intl\", f:parse_Intl },\n\t0x0063: { n:\"ObjProtect\", f:parse_ObjProtect },\n\t0x007d: { n:\"ColInfo\", f:parse_ColInfo },\n\t0x0080: { n:\"Guts\", f:parse_Guts },\n\t0x0081: { n:\"WsBool\", f:parse_WsBool },\n\t0x0082: { n:\"GridSet\", f:parse_GridSet },\n\t0x0083: { n:\"HCenter\", f:parse_HCenter },\n\t0x0084: { n:\"VCenter\", f:parse_VCenter },\n\t0x0085: { n:'BoundSheet8', f:parse_BoundSheet8 },\n\t0x0086: { n:\"WriteProtect\", f:parse_WriteProtect },\n\t0x008c: { n:\"Country\", f:parse_Country },\n\t0x008d: { n:\"HideObj\", f:parse_HideObj },\n\t0x0090: { n:\"Sort\", f:parse_Sort },\n\t0x0092: { n:\"Palette\", f:parse_Palette },\n\t0x0097: { n:\"Sync\", f:parse_Sync },\n\t0x0098: { n:\"LPr\", f:parse_LPr },\n\t0x0099: { n:\"DxGCol\", f:parse_DxGCol },\n\t0x009a: { n:\"FnGroupName\", f:parse_FnGroupName },\n\t0x009b: { n:\"FilterMode\", f:parse_FilterMode },\n\t0x009c: { n:\"BuiltInFnGroupCount\", f:parse_BuiltInFnGroupCount },\n\t0x009d: { n:\"AutoFilterInfo\", f:parse_AutoFilterInfo },\n\t0x009e: { n:\"AutoFilter\", f:parse_AutoFilter },\n\t0x00a0: { n:\"Scl\", f:parse_Scl },\n\t0x00a1: { n:\"Setup\", f:parse_Setup },\n\t0x00ae: { n:\"ScenMan\", f:parse_ScenMan },\n\t0x00af: { n:\"SCENARIO\", f:parse_SCENARIO },\n\t0x00b0: { n:\"SxView\", f:parse_SxView },\n\t0x00b1: { n:\"Sxvd\", f:parse_Sxvd },\n\t0x00b2: { n:\"SXVI\", f:parse_SXVI },\n\t0x00b4: { n:\"SxIvd\", f:parse_SxIvd },\n\t0x00b5: { n:\"SXLI\", f:parse_SXLI },\n\t0x00b6: { n:\"SXPI\", f:parse_SXPI },\n\t0x00b8: { n:\"DocRoute\", f:parse_DocRoute },\n\t0x00b9: { n:\"RecipName\", f:parse_RecipName },\n\t0x00bd: { n:\"MulRk\", f:parse_MulRk },\n\t0x00be: { n:\"MulBlank\", f:parse_MulBlank },\n\t0x00c1: { n:'Mms', f:parse_Mms },\n\t0x00c5: { n:\"SXDI\", f:parse_SXDI },\n\t0x00c6: { n:\"SXDB\", f:parse_SXDB },\n\t0x00c7: { n:\"SXFDB\", f:parse_SXFDB },\n\t0x00c8: { n:\"SXDBB\", f:parse_SXDBB },\n\t0x00c9: { n:\"SXNum\", f:parse_SXNum },\n\t0x00ca: { n:\"SxBool\", f:parse_SxBool },\n\t0x00cb: { n:\"SxErr\", f:parse_SxErr },\n\t0x00cc: { n:\"SXInt\", f:parse_SXInt },\n\t0x00cd: { n:\"SXString\", f:parse_SXString },\n\t0x00ce: { n:\"SXDtr\", f:parse_SXDtr },\n\t0x00cf: { n:\"SxNil\", f:parse_SxNil },\n\t0x00d0: { n:\"SXTbl\", f:parse_SXTbl },\n\t0x00d1: { n:\"SXTBRGIITM\", f:parse_SXTBRGIITM },\n\t0x00d2: { n:\"SxTbpg\", f:parse_SxTbpg },\n\t0x00d3: { n:\"ObProj\", f:parse_ObProj },\n\t0x00d5: { n:\"SXStreamID\", f:parse_SXStreamID },\n\t0x00d7: { n:\"DBCell\", f:parse_DBCell },\n\t0x00d8: { n:\"SXRng\", f:parse_SXRng },\n\t0x00d9: { n:\"SxIsxoper\", f:parse_SxIsxoper },\n\t0x00da: { n:\"BookBool\", f:parse_BookBool },\n\t0x00dc: { n:\"DbOrParamQry\", f:parse_DbOrParamQry },\n\t0x00dd: { n:\"ScenarioProtect\", f:parse_ScenarioProtect },\n\t0x00de: { n:\"OleObjectSize\", f:parse_OleObjectSize },\n\t0x00e0: { n:\"XF\", f:parse_XF },\n\t0x00e1: { n:'InterfaceHdr', f:parse_InterfaceHdr },\n\t0x00e2: { n:'InterfaceEnd', f:parse_InterfaceEnd },\n\t0x00e3: { n:\"SXVS\", f:parse_SXVS },\n\t0x00e5: { n:\"MergeCells\", f:parse_MergeCells },\n\t0x00e9: { n:\"BkHim\", f:parse_BkHim },\n\t0x00eb: { n:\"MsoDrawingGroup\", f:parse_MsoDrawingGroup },\n\t0x00ec: { n:\"MsoDrawing\", f:parse_MsoDrawing },\n\t0x00ed: { n:\"MsoDrawingSelection\", f:parse_MsoDrawingSelection },\n\t0x00ef: { n:\"PhoneticInfo\", f:parse_PhoneticInfo },\n\t0x00f0: { n:\"SxRule\", f:parse_SxRule },\n\t0x00f1: { n:\"SXEx\", f:parse_SXEx },\n\t0x00f2: { n:\"SxFilt\", f:parse_SxFilt },\n\t0x00f4: { n:\"SxDXF\", f:parse_SxDXF },\n\t0x00f5: { n:\"SxItm\", f:parse_SxItm },\n\t0x00f6: { n:\"SxName\", f:parse_SxName },\n\t0x00f7: { n:\"SxSelect\", f:parse_SxSelect },\n\t0x00f8: { n:\"SXPair\", f:parse_SXPair },\n\t0x00f9: { n:\"SxFmla\", f:parse_SxFmla },\n\t0x00fb: { n:\"SxFormat\", f:parse_SxFormat },\n\t0x00fc: { n:\"SST\", f:parse_SST },\n\t0x00fd: { n:\"LabelSst\", f:parse_LabelSst },\n\t0x00ff: { n:\"ExtSST\", f:parse_ExtSST },\n\t0x0100: { n:\"SXVDEx\", f:parse_SXVDEx },\n\t0x0103: { n:\"SXFormula\", f:parse_SXFormula },\n\t0x0122: { n:\"SXDBEx\", f:parse_SXDBEx },\n\t0x0137: { n:\"RRDInsDel\", f:parse_RRDInsDel },\n\t0x0138: { n:\"RRDHead\", f:parse_RRDHead },\n\t0x013b: { n:\"RRDChgCell\", f:parse_RRDChgCell },\n\t0x013d: { n:\"RRTabId\", f:parse_RRTabId },\n\t0x013e: { n:\"RRDRenSheet\", f:parse_RRDRenSheet },\n\t0x013f: { n:\"RRSort\", f:parse_RRSort },\n\t0x0140: { n:\"RRDMove\", f:parse_RRDMove },\n\t0x014a: { n:\"RRFormat\", f:parse_RRFormat },\n\t0x014b: { n:\"RRAutoFmt\", f:parse_RRAutoFmt },\n\t0x014d: { n:\"RRInsertSh\", f:parse_RRInsertSh },\n\t0x014e: { n:\"RRDMoveBegin\", f:parse_RRDMoveBegin },\n\t0x014f: { n:\"RRDMoveEnd\", f:parse_RRDMoveEnd },\n\t0x0150: { n:\"RRDInsDelBegin\", f:parse_RRDInsDelBegin },\n\t0x0151: { n:\"RRDInsDelEnd\", f:parse_RRDInsDelEnd },\n\t0x0152: { n:\"RRDConflict\", f:parse_RRDConflict },\n\t0x0153: { n:\"RRDDefName\", f:parse_RRDDefName },\n\t0x0154: { n:\"RRDRstEtxp\", f:parse_RRDRstEtxp },\n\t0x015f: { n:\"LRng\", f:parse_LRng },\n\t0x0160: { n:\"UsesELFs\", f:parse_UsesELFs },\n\t0x0161: { n:\"DSF\", f:parse_DSF },\n\t0x0191: { n:\"CUsr\", f:parse_CUsr },\n\t0x0192: { n:\"CbUsr\", f:parse_CbUsr },\n\t0x0193: { n:\"UsrInfo\", f:parse_UsrInfo },\n\t0x0194: { n:\"UsrExcl\", f:parse_UsrExcl },\n\t0x0195: { n:\"FileLock\", f:parse_FileLock },\n\t0x0196: { n:\"RRDInfo\", f:parse_RRDInfo },\n\t0x0197: { n:\"BCUsrs\", f:parse_BCUsrs },\n\t0x0198: { n:\"UsrChk\", f:parse_UsrChk },\n\t0x01a9: { n:\"UserBView\", f:parse_UserBView },\n\t0x01aa: { n:\"UserSViewBegin\", f:parse_UserSViewBegin },\n\t0x01ab: { n:\"UserSViewEnd\", f:parse_UserSViewEnd },\n\t0x01ac: { n:\"RRDUserView\", f:parse_RRDUserView },\n\t0x01ad: { n:\"Qsi\", f:parse_Qsi },\n\t0x01ae: { n:\"SupBook\", f:parse_SupBook },\n\t0x01af: { n:\"Prot4Rev\", f:parse_Prot4Rev },\n\t0x01b0: { n:\"CondFmt\", f:parse_CondFmt },\n\t0x01b1: { n:\"CF\", f:parse_CF },\n\t0x01b2: { n:\"DVal\", f:parse_DVal },\n\t0x01b5: { n:\"DConBin\", f:parse_DConBin },\n\t0x01b6: { n:\"TxO\", f:parse_TxO },\n\t0x01b7: { n:\"RefreshAll\", f:parse_RefreshAll },\n\t0x01b8: { n:\"HLink\", f:parse_HLink },\n\t0x01b9: { n:\"Lel\", f:parse_Lel },\n\t0x01ba: { n:\"CodeName\", f:parse_XLSCodeName },\n\t0x01bb: { n:\"SXFDBType\", f:parse_SXFDBType },\n\t0x01bc: { n:\"Prot4RevPass\", f:parse_Prot4RevPass },\n\t0x01bd: { n:\"ObNoMacros\", f:parse_ObNoMacros },\n\t0x01be: { n:\"Dv\", f:parse_Dv },\n\t0x01c0: { n:\"Excel9File\", f:parse_Excel9File },\n\t0x01c1: { n:\"RecalcId\", f:parse_RecalcId, r:2},\n\t0x01c2: { n:\"EntExU2\", f:parse_EntExU2 },\n\t0x0200: { n:\"Dimensions\", f:parse_Dimensions },\n\t0x0201: { n:\"Blank\", f:parse_Blank },\n\t0x0203: { n:\"Number\", f:parse_Number },\n\t0x0204: { n:\"Label\", f:parse_Label },\n\t0x0205: { n:\"BoolErr\", f:parse_BoolErr },\n\t0x0207: { n:\"String\", f:parse_String },\n\t0x0208: { n:'Row', f:parse_Row },\n\t0x020b: { n:\"Index\", f:parse_Index },\n\t0x0221: { n:\"Array\", f:parse_Array },\n\t0x0225: { n:\"DefaultRowHeight\", f:parse_DefaultRowHeight },\n\t0x0236: { n:\"Table\", f:parse_Table },\n\t0x023e: { n:\"Window2\", f:parse_Window2 },\n\t0x027e: { n:\"RK\", f:parse_RK },\n\t0x0293: { n:\"Style\", f:parse_Style },\n\t0x0418: { n:\"BigName\", f:parse_BigName },\n\t0x041e: { n:\"Format\", f:parse_Format },\n\t0x043c: { n:\"ContinueBigName\", f:parse_ContinueBigName },\n\t0x04bc: { n:\"ShrFmla\", f:parse_ShrFmla },\n\t0x0800: { n:\"HLinkTooltip\", f:parse_HLinkTooltip },\n\t0x0801: { n:\"WebPub\", f:parse_WebPub },\n\t0x0802: { n:\"QsiSXTag\", f:parse_QsiSXTag },\n\t0x0803: { n:\"DBQueryExt\", f:parse_DBQueryExt },\n\t0x0804: { n:\"ExtString\", f:parse_ExtString },\n\t0x0805: { n:\"TxtQry\", f:parse_TxtQry },\n\t0x0806: { n:\"Qsir\", f:parse_Qsir },\n\t0x0807: { n:\"Qsif\", f:parse_Qsif },\n\t0x0808: { n:\"RRDTQSIF\", f:parse_RRDTQSIF },\n\t0x0809: { n:'BOF', f:parse_BOF },\n\t0x080a: { n:\"OleDbConn\", f:parse_OleDbConn },\n\t0x080b: { n:\"WOpt\", f:parse_WOpt },\n\t0x080c: { n:\"SXViewEx\", f:parse_SXViewEx },\n\t0x080d: { n:\"SXTH\", f:parse_SXTH },\n\t0x080e: { n:\"SXPIEx\", f:parse_SXPIEx },\n\t0x080f: { n:\"SXVDTEx\", f:parse_SXVDTEx },\n\t0x0810: { n:\"SXViewEx9\", f:parse_SXViewEx9 },\n\t0x0812: { n:\"ContinueFrt\", f:parse_ContinueFrt },\n\t0x0813: { n:\"RealTimeData\", f:parse_RealTimeData },\n\t0x0850: { n:\"ChartFrtInfo\", f:parse_ChartFrtInfo },\n\t0x0851: { n:\"FrtWrapper\", f:parse_FrtWrapper },\n\t0x0852: { n:\"StartBlock\", f:parse_StartBlock },\n\t0x0853: { n:\"EndBlock\", f:parse_EndBlock },\n\t0x0854: { n:\"StartObject\", f:parse_StartObject },\n\t0x0855: { n:\"EndObject\", f:parse_EndObject },\n\t0x0856: { n:\"CatLab\", f:parse_CatLab },\n\t0x0857: { n:\"YMult\", f:parse_YMult },\n\t0x0858: { n:\"SXViewLink\", f:parse_SXViewLink },\n\t0x0859: { n:\"PivotChartBits\", f:parse_PivotChartBits },\n\t0x085a: { n:\"FrtFontList\", f:parse_FrtFontList },\n\t0x0862: { n:\"SheetExt\", f:parse_SheetExt },\n\t0x0863: { n:\"BookExt\", f:parse_BookExt, r:12},\n\t0x0864: { n:\"SXAddl\", f:parse_SXAddl },\n\t0x0865: { n:\"CrErr\", f:parse_CrErr },\n\t0x0866: { n:\"HFPicture\", f:parse_HFPicture },\n\t0x0867: { n:'FeatHdr', f:parse_FeatHdr },\n\t0x0868: { n:\"Feat\", f:parse_Feat },\n\t0x086a: { n:\"DataLabExt\", f:parse_DataLabExt },\n\t0x086b: { n:\"DataLabExtContents\", f:parse_DataLabExtContents },\n\t0x086c: { n:\"CellWatch\", f:parse_CellWatch },\n\t0x0871: { n:\"FeatHdr11\", f:parse_FeatHdr11 },\n\t0x0872: { n:\"Feature11\", f:parse_Feature11 },\n\t0x0874: { n:\"DropDownObjIds\", f:parse_DropDownObjIds },\n\t0x0875: { n:\"ContinueFrt11\", f:parse_ContinueFrt11 },\n\t0x0876: { n:\"DConn\", f:parse_DConn },\n\t0x0877: { n:\"List12\", f:parse_List12 },\n\t0x0878: { n:\"Feature12\", f:parse_Feature12 },\n\t0x0879: { n:\"CondFmt12\", f:parse_CondFmt12 },\n\t0x087a: { n:\"CF12\", f:parse_CF12 },\n\t0x087b: { n:\"CFEx\", f:parse_CFEx },\n\t0x087c: { n:\"XFCRC\", f:parse_XFCRC, r:12 },\n\t0x087d: { n:\"XFExt\", f:parse_XFExt, r:12 },\n\t0x087e: { n:\"AutoFilter12\", f:parse_AutoFilter12 },\n\t0x087f: { n:\"ContinueFrt12\", f:parse_ContinueFrt12 },\n\t0x0884: { n:\"MDTInfo\", f:parse_MDTInfo },\n\t0x0885: { n:\"MDXStr\", f:parse_MDXStr },\n\t0x0886: { n:\"MDXTuple\", f:parse_MDXTuple },\n\t0x0887: { n:\"MDXSet\", f:parse_MDXSet },\n\t0x0888: { n:\"MDXProp\", f:parse_MDXProp },\n\t0x0889: { n:\"MDXKPI\", f:parse_MDXKPI },\n\t0x088a: { n:\"MDB\", f:parse_MDB },\n\t0x088b: { n:\"PLV\", f:parse_PLV },\n\t0x088c: { n:\"Compat12\", f:parse_Compat12, r:12 },\n\t0x088d: { n:\"DXF\", f:parse_DXF },\n\t0x088e: { n:\"TableStyles\", f:parse_TableStyles, r:12 },\n\t0x088f: { n:\"TableStyle\", f:parse_TableStyle },\n\t0x0890: { n:\"TableStyleElement\", f:parse_TableStyleElement },\n\t0x0892: { n:\"StyleExt\", f:parse_StyleExt },\n\t0x0893: { n:\"NamePublish\", f:parse_NamePublish },\n\t0x0894: { n:\"NameCmt\", f:parse_NameCmt },\n\t0x0895: { n:\"SortData\", f:parse_SortData },\n\t0x0896: { n:\"Theme\", f:parse_Theme, r:12 },\n\t0x0897: { n:\"GUIDTypeLib\", f:parse_GUIDTypeLib },\n\t0x0898: { n:\"FnGrp12\", f:parse_FnGrp12 },\n\t0x0899: { n:\"NameFnGrp12\", f:parse_NameFnGrp12 },\n\t0x089a: { n:\"MTRSettings\", f:parse_MTRSettings, r:12 },\n\t0x089b: { n:\"CompressPictures\", f:parse_CompressPictures },\n\t0x089c: { n:\"HeaderFooter\", f:parse_HeaderFooter },\n\t0x089d: { n:\"CrtLayout12\", f:parse_CrtLayout12 },\n\t0x089e: { n:\"CrtMlFrt\", f:parse_CrtMlFrt },\n\t0x089f: { n:\"CrtMlFrtContinue\", f:parse_CrtMlFrtContinue },\n\t0x08a3: { n:\"ForceFullCalculation\", f:parse_ForceFullCalculation },\n\t0x08a4: { n:\"ShapePropsStream\", f:parse_ShapePropsStream },\n\t0x08a5: { n:\"TextPropsStream\", f:parse_TextPropsStream },\n\t0x08a6: { n:\"RichTextStream\", f:parse_RichTextStream },\n\t0x08a7: { n:\"CrtLayout12A\", f:parse_CrtLayout12A },\n\t0x1001: { n:\"Units\", f:parse_Units },\n\t0x1002: { n:\"Chart\", f:parse_Chart },\n\t0x1003: { n:\"Series\", f:parse_Series },\n\t0x1006: { n:\"DataFormat\", f:parse_DataFormat },\n\t0x1007: { n:\"LineFormat\", f:parse_LineFormat },\n\t0x1009: { n:\"MarkerFormat\", f:parse_MarkerFormat },\n\t0x100a: { n:\"AreaFormat\", f:parse_AreaFormat },\n\t0x100b: { n:\"PieFormat\", f:parse_PieFormat },\n\t0x100c: { n:\"AttachedLabel\", f:parse_AttachedLabel },\n\t0x100d: { n:\"SeriesText\", f:parse_SeriesText },\n\t0x1014: { n:\"ChartFormat\", f:parse_ChartFormat },\n\t0x1015: { n:\"Legend\", f:parse_Legend },\n\t0x1016: { n:\"SeriesList\", f:parse_SeriesList },\n\t0x1017: { n:\"Bar\", f:parse_Bar },\n\t0x1018: { n:\"Line\", f:parse_Line },\n\t0x1019: { n:\"Pie\", f:parse_Pie },\n\t0x101a: { n:\"Area\", f:parse_Area },\n\t0x101b: { n:\"Scatter\", f:parse_Scatter },\n\t0x101c: { n:\"CrtLine\", f:parse_CrtLine },\n\t0x101d: { n:\"Axis\", f:parse_Axis },\n\t0x101e: { n:\"Tick\", f:parse_Tick },\n\t0x101f: { n:\"ValueRange\", f:parse_ValueRange },\n\t0x1020: { n:\"CatSerRange\", f:parse_CatSerRange },\n\t0x1021: { n:\"AxisLine\", f:parse_AxisLine },\n\t0x1022: { n:\"CrtLink\", f:parse_CrtLink },\n\t0x1024: { n:\"DefaultText\", f:parse_DefaultText },\n\t0x1025: { n:\"Text\", f:parse_Text },\n\t0x1026: { n:\"FontX\", f:parse_FontX },\n\t0x1027: { n:\"ObjectLink\", f:parse_ObjectLink },\n\t0x1032: { n:\"Frame\", f:parse_Frame },\n\t0x1033: { n:\"Begin\", f:parse_Begin },\n\t0x1034: { n:\"End\", f:parse_End },\n\t0x1035: { n:\"PlotArea\", f:parse_PlotArea },\n\t0x103a: { n:\"Chart3d\", f:parse_Chart3d },\n\t0x103c: { n:\"PicF\", f:parse_PicF },\n\t0x103d: { n:\"DropBar\", f:parse_DropBar },\n\t0x103e: { n:\"Radar\", f:parse_Radar },\n\t0x103f: { n:\"Surf\", f:parse_Surf },\n\t0x1040: { n:\"RadarArea\", f:parse_RadarArea },\n\t0x1041: { n:\"AxisParent\", f:parse_AxisParent },\n\t0x1043: { n:\"LegendException\", f:parse_LegendException },\n\t0x1044: { n:\"ShtProps\", f:parse_ShtProps },\n\t0x1045: { n:\"SerToCrt\", f:parse_SerToCrt },\n\t0x1046: { n:\"AxesUsed\", f:parse_AxesUsed },\n\t0x1048: { n:\"SBaseRef\", f:parse_SBaseRef },\n\t0x104a: { n:\"SerParent\", f:parse_SerParent },\n\t0x104b: { n:\"SerAuxTrend\", f:parse_SerAuxTrend },\n\t0x104e: { n:\"IFmtRecord\", f:parse_IFmtRecord },\n\t0x104f: { n:\"Pos\", f:parse_Pos },\n\t0x1050: { n:\"AlRuns\", f:parse_AlRuns },\n\t0x1051: { n:\"BRAI\", f:parse_BRAI },\n\t0x105b: { n:\"SerAuxErrBar\", f:parse_SerAuxErrBar },\n\t0x105c: { n:\"ClrtClient\", f:parse_ClrtClient },\n\t0x105d: { n:\"SerFmt\", f:parse_SerFmt },\n\t0x105f: { n:\"Chart3DBarShape\", f:parse_Chart3DBarShape },\n\t0x1060: { n:\"Fbi\", f:parse_Fbi },\n\t0x1061: { n:\"BopPop\", f:parse_BopPop },\n\t0x1062: { n:\"AxcExt\", f:parse_AxcExt },\n\t0x1063: { n:\"Dat\", f:parse_Dat },\n\t0x1064: { n:\"PlotGrowth\", f:parse_PlotGrowth },\n\t0x1065: { n:\"SIIndex\", f:parse_SIIndex },\n\t0x1066: { n:\"GelFrame\", f:parse_GelFrame },\n\t0x1067: { n:\"BopPopCustom\", f:parse_BopPopCustom },\n\t0x1068: { n:\"Fbi2\", f:parse_Fbi2 },\n\n\t/* These are specified in an older version of the spec */\n\t0x0016: { n:\"ExternCount\", f:parsenoop },\n\t0x007e: { n:\"RK\", f:parsenoop }, /* Not necessarily same as 0x027e */\n\t0x007f: { n:\"ImData\", f:parsenoop },\n\t0x0087: { n:\"Addin\", f:parsenoop },\n\t0x0088: { n:\"Edg\", f:parsenoop },\n\t0x0089: { n:\"Pub\", f:parsenoop },\n\t0x0091: { n:\"Sub\", f:parsenoop },\n\t0x0094: { n:\"LHRecord\", f:parsenoop },\n\t0x0095: { n:\"LHNGraph\", f:parsenoop },\n\t0x0096: { n:\"Sound\", f:parsenoop },\n\t0x00a9: { n:\"CoordList\", f:parsenoop },\n\t0x00ab: { n:\"GCW\", f:parsenoop },\n\t0x00bc: { n:\"ShrFmla\", f:parsenoop }, /* Not necessarily same as 0x04bc */\n\t0x00c2: { n:\"AddMenu\", f:parsenoop },\n\t0x00c3: { n:\"DelMenu\", f:parsenoop },\n\t0x00d6: { n:\"RString\", f:parsenoop },\n\t0x00df: { n:\"UDDesc\", f:parsenoop },\n\t0x00ea: { n:\"TabIdConf\", f:parsenoop },\n\t0x0162: { n:\"XL5Modify\", f:parsenoop },\n\t0x01a5: { n:\"FileSharing2\", f:parsenoop },\n\t0x0218: { n:\"Name\", f:parsenoop },\n\t0x0223: { n:\"ExternName\", f:parse_ExternName },\n\t0x0231: { n:\"Font\", f:parsenoop },\n\t0x0406: { n:\"Formula\", f:parse_Formula },\n\t0x086d: { n:\"FeatInfo\", f:parsenoop },\n\t0x0873: { n:\"FeatInfo11\", f:parsenoop },\n\t0x0881: { n:\"SXAddl12\", f:parsenoop },\n\t0x08c0: { n:\"AutoWebPub\", f:parsenoop },\n\t0x08c1: { n:\"ListObj\", f:parsenoop },\n\t0x08c2: { n:\"ListField\", f:parsenoop },\n\t0x08c3: { n:\"ListDV\", f:parsenoop },\n\t0x08c4: { n:\"ListCondFmt\", f:parsenoop },\n\t0x08c5: { n:\"ListCF\", f:parsenoop },\n\t0x08c6: { n:\"FMQry\", f:parsenoop },\n\t0x08c7: { n:\"FMSQry\", f:parsenoop },\n\t0x08c8: { n:\"PLV\", f:parsenoop }, /* supposedly PLV for Excel 11 */\n\t0x08c9: { n:\"LnExt\", f:parsenoop },\n\t0x08ca: { n:\"MkrExt\", f:parsenoop },\n\t0x08cb: { n:\"CrtCoopt\", f:parsenoop },\n\n\t0x0000: {}\n};\n\n\n/* Helper function to call out to ODS parser */\nfunction parse_ods(zip, opts) {\n\tif(typeof module !== \"undefined\" && typeof require !== 'undefined' && typeof ODS === 'undefined') ODS = require('./od' + 's');\n\tif(typeof ODS === 'undefined' || !ODS.parse_ods) throw new Error(\"Unsupported ODS\");\n\treturn ODS.parse_ods(zip, opts);\n}\nfunction fix_opts_func(defaults) {\n\treturn function fix_opts(opts) {\n\t\tfor(var i = 0; i != defaults.length; ++i) {\n\t\t\tvar d = defaults[i];\n\t\t\tif(opts[d[0]] === undefined) opts[d[0]] = d[1];\n\t\t\tif(d[2] === 'n') opts[d[0]] = Number(opts[d[0]]);\n\t\t}\n\t};\n}\n\nvar fix_read_opts = fix_opts_func([\n\t['cellNF', false], /* emit cell number format string as .z */\n\t['cellHTML', true], /* emit html string as .h */\n\t['cellFormula', true], /* emit formulae as .f */\n\t['cellStyles', false], /* emits style/theme as .s */\n\t['cellDates', false], /* emit date cells with type `d` */\n\n\t['sheetStubs', false], /* emit empty cells */\n\t['sheetRows', 0, 'n'], /* read n rows (0 = read all rows) */\n\n\t['bookDeps', false], /* parse calculation chains */\n\t['bookSheets', false], /* only try to get sheet names (no Sheets) */\n\t['bookProps', false], /* only try to get properties (no Sheets) */\n\t['bookFiles', false], /* include raw file structure (keys, files, cfb) */\n\t['bookVBA', false], /* include vba raw data (vbaraw) */\n\n\t['password',''], /* password */\n\t['WTF', false] /* WTF mode (throws errors) */\n]);\n\n\nvar fix_write_opts = fix_opts_func([\n\t['cellDates', false], /* write date cells with type `d` */\n\n\t['bookSST', false], /* Generate Shared String Table */\n\n\t['bookType', 'xlsx'], /* Type of workbook (xlsx/m/b) */\n\n\t['WTF', false] /* WTF mode (throws errors) */\n]);\nfunction safe_parse_wbrels(wbrels, sheets) {\n\tif(!wbrels) return 0;\n\ttry {\n\t\twbrels = sheets.map(function pwbr(w) { return [w.name, wbrels['!id'][w.id].Target]; });\n\t} catch(e) { return null; }\n\treturn !wbrels || wbrels.length === 0 ? null : wbrels;\n}\n\nfunction safe_parse_ws(zip, path, relsPath, sheet, sheetRels, sheets, opts) {\n\ttry {\n\t\tsheetRels[sheet]=parse_rels(getzipdata(zip, relsPath, true), path);\n\t\tsheets[sheet]=parse_ws(getzipdata(zip, path),path,opts,sheetRels[sheet]);\n\t} catch(e) { if(opts.WTF) throw e; }\n}\n\nvar nodirs = function nodirs(x){return x.substr(-1) != '/';};\nfunction parse_zip(zip, opts) {\n\tmake_ssf(SSF);\n\topts = opts || {};\n\tfix_read_opts(opts);\n\treset_cp();\n\n\t/* OpenDocument Part 3 Section 2.2.1 OpenDocument Package */\n\tif(safegetzipfile(zip, 'META-INF/manifest.xml')) return parse_ods(zip, opts);\n\n\tvar entries = keys(zip.files).filter(nodirs).sort();\n\tvar dir = parse_ct(getzipdata(zip, '[Content_Types].xml'), opts);\n\tvar xlsb = false;\n\tvar sheets, binname;\n\tif(dir.workbooks.length === 0) {\n\t\tbinname = \"xl/workbook.xml\";\n\t\tif(getzipdata(zip,binname, true)) dir.workbooks.push(binname);\n\t}\n\tif(dir.workbooks.length === 0) {\n\t\tbinname = \"xl/workbook.bin\";\n\t\tif(!getzipfile(zip,binname,true)) throw new Error(\"Could not find workbook\");\n\t\tdir.workbooks.push(binname);\n\t\txlsb = true;\n\t}\n\tif(dir.workbooks[0].substr(-3) == \"bin\") xlsb = true;\n\tif(xlsb) set_cp(1200);\n\n\tif(!opts.bookSheets && !opts.bookProps) {\n\t\tstrs = [];\n\t\tif(dir.sst) strs=parse_sst(getzipdata(zip, dir.sst.replace(/^\\//,'')), dir.sst, opts);\n\n\t\tstyles = {};\n\t\tif(dir.style) styles = parse_sty(getzipdata(zip, dir.style.replace(/^\\//,'')),dir.style, opts);\n\n\t\tthemes = {};\n\t\tif(opts.cellStyles && dir.themes.length) themes = parse_theme(getzipdata(zip, dir.themes[0].replace(/^\\//,''), true),dir.themes[0], opts);\n\t}\n\n\tvar wb = parse_wb(getzipdata(zip, dir.workbooks[0].replace(/^\\//,'')), dir.workbooks[0], opts);\n\n\tvar props = {}, propdata = \"\";\n\n\tif(dir.coreprops.length !== 0) {\n\t\tpropdata = getzipdata(zip, dir.coreprops[0].replace(/^\\//,''), true);\n\t\tif(propdata) props = parse_core_props(propdata);\n\t\tif(dir.extprops.length !== 0) {\n\t\t\tpropdata = getzipdata(zip, dir.extprops[0].replace(/^\\//,''), true);\n\t\t\tif(propdata) parse_ext_props(propdata, props);\n\t\t}\n\t}\n\n\tvar custprops = {};\n\tif(!opts.bookSheets || opts.bookProps) {\n\t\tif (dir.custprops.length !== 0) {\n\t\t\tpropdata = getzipdata(zip, dir.custprops[0].replace(/^\\//,''), true);\n\t\t\tif(propdata) custprops = parse_cust_props(propdata, opts);\n\t\t}\n\t}\n\n\tvar out = {};\n\tif(opts.bookSheets || opts.bookProps) {\n\t\tif(props.Worksheets && props.SheetNames.length > 0) sheets=props.SheetNames;\n\t\telse if(wb.Sheets) sheets = wb.Sheets.map(function pluck(x){ return x.name; });\n\t\tif(opts.bookProps) { out.Props = props; out.Custprops = custprops; }\n\t\tif(typeof sheets !== 'undefined') out.SheetNames = sheets;\n\t\tif(opts.bookSheets ? out.SheetNames : opts.bookProps) return out;\n\t}\n\tsheets = {};\n\n\tvar deps = {};\n\tif(opts.bookDeps && dir.calcchain) deps=parse_cc(getzipdata(zip, dir.calcchain.replace(/^\\//,'')),dir.calcchain,opts);\n\n\tvar i=0;\n\tvar sheetRels = {};\n\tvar path, relsPath;\n\tif(!props.Worksheets) {\n\t\tvar wbsheets = wb.Sheets;\n\t\tprops.Worksheets = wbsheets.length;\n\t\tprops.SheetNames = [];\n\t\tfor(var j = 0; j != wbsheets.length; ++j) {\n\t\t\tprops.SheetNames[j] = wbsheets[j].name;\n\t\t}\n\t}\n\n\tvar wbext = xlsb ? \"bin\" : \"xml\";\n\tvar wbrelsfile = 'xl/_rels/workbook.' + wbext + '.rels';\n\tvar wbrels = parse_rels(getzipdata(zip, wbrelsfile, true), wbrelsfile);\n\tif(wbrels) wbrels = safe_parse_wbrels(wbrels, wb.Sheets);\n\t/* Numbers iOS hack */\n\tvar nmode = (getzipdata(zip,\"xl/worksheets/sheet.xml\",true))?1:0;\n\tfor(i = 0; i != props.Worksheets; ++i) {\n\t\tif(wbrels) path = 'xl/' + (wbrels[i][1]).replace(/[\\/]?xl\\//, \"\");\n\t\telse {\n\t\t\tpath = 'xl/worksheets/sheet'+(i+1-nmode)+\".\" + wbext;\n\t\t\tpath = path.replace(/sheet0\\./,\"sheet.\");\n\t\t}\n\t\trelsPath = path.replace(/^(.*)(\\/)([^\\/]*)$/, \"$1/_rels/$3.rels\");\n\t\tsafe_parse_ws(zip, path, relsPath, props.SheetNames[i], sheetRels, sheets, opts);\n\t}\n\n\tif(dir.comments) parse_comments(zip, dir.comments, sheets, sheetRels, opts);\n\n\tout = {\n\t\tDirectory: dir,\n\t\tWorkbook: wb,\n\t\tProps: props,\n\t\tCustprops: custprops,\n\t\tDeps: deps,\n\t\tSheets: sheets,\n\t\tSheetNames: props.SheetNames,\n\t\tStrings: strs,\n\t\tStyles: styles,\n\t\tThemes: themes,\n\t\tSSF: SSF.get_table()\n\t};\n\tif(opts.bookFiles) {\n\t\tout.keys = entries;\n\t\tout.files = zip.files;\n\t}\n\tif(opts.bookVBA) {\n\t\tif(dir.vba.length > 0) out.vbaraw = getzipdata(zip,dir.vba[0],true);\n\t\telse if(dir.defaults.bin === 'application/vnd.ms-office.vbaProject') out.vbaraw = getzipdata(zip,'xl/vbaProject.bin',true);\n\t}\n\treturn out;\n}\nfunction add_rels(rels, rId, f, type, relobj) {\n\tif(!relobj) relobj = {};\n\tif(!rels['!id']) rels['!id'] = {};\n\trelobj.Id = 'rId' + rId;\n\trelobj.Type = type;\n\trelobj.Target = f;\n\tif(rels['!id'][relobj.Id]) throw new Error(\"Cannot rewrite rId \" + rId);\n\trels['!id'][relobj.Id] = relobj;\n\trels[('/' + relobj.Target).replace(\"//\",\"/\")] = relobj;\n}\n\nfunction write_zip(wb, opts) {\n\tif(wb && !wb.SSF) {\n\t\twb.SSF = SSF.get_table();\n\t}\n\tif(wb && wb.SSF) {\n\t\tmake_ssf(SSF); SSF.load_table(wb.SSF);\n\t\topts.revssf = evert_num(wb.SSF); opts.revssf[wb.SSF[65535]] = 0;\n\t}\n\topts.rels = {}; opts.wbrels = {};\n\topts.Strings = []; opts.Strings.Count = 0; opts.Strings.Unique = 0;\n\tvar wbext = opts.bookType == \"xlsb\" ? \"bin\" : \"xml\";\n\tvar ct = { workbooks: [], sheets: [], calcchains: [], themes: [], styles: [],\n\t\tcoreprops: [], extprops: [], custprops: [], strs:[], comments: [], vba: [],\n\t\tTODO:[], rels:[], xmlns: \"\" };\n\tfix_write_opts(opts = opts || {});\n\tvar zip = new jszip();\n\tvar f = \"\", rId = 0;\n\n\topts.cellXfs = [];\n\tget_cell_style(opts.cellXfs, {}, {revssf:{\"General\":0}});\n\n\tf = \"docProps/core.xml\";\n\tzip.file(f, write_core_props(wb.Props, opts));\n\tct.coreprops.push(f);\n\tadd_rels(opts.rels, 2, f, RELS.CORE_PROPS);\n\n\tf = \"docProps/app.xml\";\n\tif(!wb.Props) wb.Props = {};\n\twb.Props.SheetNames = wb.SheetNames;\n\twb.Props.Worksheets = wb.SheetNames.length;\n\tzip.file(f, write_ext_props(wb.Props, opts));\n\tct.extprops.push(f);\n\tadd_rels(opts.rels, 3, f, RELS.EXT_PROPS);\n\n\tif(wb.Custprops !== wb.Props && keys(wb.Custprops||{}).length > 0) {\n\t\tf = \"docProps/custom.xml\";\n\t\tzip.file(f, write_cust_props(wb.Custprops, opts));\n\t\tct.custprops.push(f);\n\t\tadd_rels(opts.rels, 4, f, RELS.CUST_PROPS);\n\t}\n\n\tf = \"xl/workbook.\" + wbext;\n\tzip.file(f, write_wb(wb, f, opts));\n\tct.workbooks.push(f);\n\tadd_rels(opts.rels, 1, f, RELS.WB);\n\n\tfor(rId=1;rId <= wb.SheetNames.length; ++rId) {\n\t\tf = \"xl/worksheets/sheet\" + rId + \".\" + wbext;\n\t\tzip.file(f, write_ws(rId-1, f, opts, wb));\n\t\tct.sheets.push(f);\n\t\tadd_rels(opts.wbrels, rId, \"worksheets/sheet\" + rId + \".\" + wbext, RELS.WS);\n\t}\n\n\tif(opts.Strings != null && opts.Strings.length > 0) {\n\t\tf = \"xl/sharedStrings.\" + wbext;\n\t\tzip.file(f, write_sst(opts.Strings, f, opts));\n\t\tct.strs.push(f);\n\t\tadd_rels(opts.wbrels, ++rId, \"sharedStrings.\" + wbext, RELS.SST);\n\t}\n\n\t/* TODO: something more intelligent with themes */\n\n\tf = \"xl/theme/theme1.xml\";\n\tzip.file(f, write_theme());\n\tct.themes.push(f);\n\tadd_rels(opts.wbrels, ++rId, \"theme/theme1.xml\", RELS.THEME);\n\n\t/* TODO: something more intelligent with styles */\n\n\tf = \"xl/styles.\" + wbext;\n\tzip.file(f, write_sty(wb, f, opts));\n\tct.styles.push(f);\n\tadd_rels(opts.wbrels, ++rId, \"styles.\" + wbext, RELS.STY);\n\n\tzip.file(\"[Content_Types].xml\", write_ct(ct, opts));\n\tzip.file('_rels/.rels', write_rels(opts.rels));\n\tzip.file('xl/_rels/workbook.' + wbext + '.rels', write_rels(opts.wbrels));\n\treturn zip;\n}\nfunction firstbyte(f,o) {\n\tswitch((o||{}).type || \"base64\") {\n\t\tcase 'buffer': return f[0];\n\t\tcase 'base64': return Base64.decode(f.substr(0,12)).charCodeAt(0);\n\t\tcase 'binary': return f.charCodeAt(0);\n\t\tcase 'array': return f[0];\n\t\tdefault: throw new Error(\"Unrecognized type \" + o.type);\n\t}\n}\n\nfunction read_zip(data, opts) {\n\tvar zip, d = data;\n\tvar o = opts||{};\n\tif(!o.type) o.type = (has_buf && Buffer.isBuffer(data)) ? \"buffer\" : \"base64\";\n\tswitch(o.type) {\n\t\tcase \"base64\": zip = new jszip(d, { base64:true }); break;\n\t\tcase \"binary\": case \"array\": zip = new jszip(d, { base64:false }); break;\n\t\tcase \"buffer\": zip = new jszip(d); break;\n\t\tcase \"file\": zip=new jszip(d=_fs.readFileSync(data)); break;\n\t\tdefault: throw new Error(\"Unrecognized type \" + o.type);\n\t}\n\treturn parse_zip(zip, o);\n}\n\nfunction readSync(data, opts) {\n\tvar zip, d = data, isfile = false, n;\n\tvar o = opts||{};\n\tif(!o.type) o.type = (has_buf && Buffer.isBuffer(data)) ? \"buffer\" : \"base64\";\n\tif(o.type == \"file\") { isfile = true; o.type = \"buffer\"; d = _fs.readFileSync(data); }\n\tswitch((n = firstbyte(d, o))) {\n\t\tcase 0xD0:\n\t\t\tif(isfile) o.type = \"file\";\n\t\t\treturn parse_xlscfb(CFB.read(data, o), o);\n\t\tcase 0x09: return parse_xlscfb(s2a(o.type === 'base64' ? Base64.decode(data) : data), o);\n\t\tcase 0x3C: return parse_xlml(d, o);\n\t\tcase 0x50:\n\t\t\tif(isfile) o.type = \"file\";\n\t\t\treturn read_zip(data, opts);\n\t\tdefault: throw new Error(\"Unsupported file \" + n);\n\t}\n}\n\nfunction readFileSync(data, opts) {\n\tvar o = opts||{}; o.type = 'file';\n\treturn readSync(data, o);\n}\nfunction write_zip_type(wb, opts) {\n\tvar o = opts||{};\n\tvar z = write_zip(wb, o);\n\tswitch(o.type) {\n\t\tcase \"base64\": return z.generate({type:\"base64\"});\n\t\tcase \"binary\": return z.generate({type:\"string\"});\n\t\tcase \"buffer\": return z.generate({type:\"nodebuffer\"});\n\t\tcase \"file\": return _fs.writeFileSync(o.file, z.generate({type:\"nodebuffer\"}));\n\t\tdefault: throw new Error(\"Unrecognized type \" + o.type);\n\t}\n}\n\nfunction writeSync(wb, opts) {\n\tvar o = opts||{};\n\tswitch(o.bookType) {\n\t\tcase 'xml': return write_xlml(wb, o);\n\t\tdefault: return write_zip_type(wb, o);\n\t}\n}\n\nfunction writeFileSync(wb, filename, opts) {\n\tvar o = opts||{}; o.type = 'file';\n\to.file = filename;\n\tswitch(o.file.substr(-5).toLowerCase()) {\n\t\tcase '.xlsx': o.bookType = 'xlsx'; break;\n\t\tcase '.xlsm': o.bookType = 'xlsm'; break;\n\t\tcase '.xlsb': o.bookType = 'xlsb'; break;\n\tdefault: switch(o.file.substr(-4).toLowerCase()) {\n\t\tcase '.xls': o.bookType = 'xls'; break;\n\t\tcase '.xml': o.bookType = 'xml'; break;\n\t}}\n\treturn writeSync(wb, o);\n}\n\nfunction decode_row(rowstr) { return parseInt(unfix_row(rowstr),10) - 1; }\nfunction encode_row(row) { return \"\" + (row + 1); }\nfunction fix_row(cstr) { return cstr.replace(/([A-Z]|^)(\\d+)$/,\"$1$$$2\"); }\nfunction unfix_row(cstr) { return cstr.replace(/\\$(\\d+)$/,\"$1\"); }\n\nfunction decode_col(colstr) { var c = unfix_col(colstr), d = 0, i = 0; for(; i !== c.length; ++i) d = 26*d + c.charCodeAt(i) - 64; return d - 1; }\nfunction encode_col(col) { var s=\"\"; for(++col; col; col=Math.floor((col-1)/26)) s = String.fromCharCode(((col-1)%26) + 65) + s; return s; }\nfunction fix_col(cstr) { return cstr.replace(/^([A-Z])/,\"$$$1\"); }\nfunction unfix_col(cstr) { return cstr.replace(/^\\$([A-Z])/,\"$1\"); }\n\nfunction split_cell(cstr) { return cstr.replace(/(\\$?[A-Z]*)(\\$?\\d*)/,\"$1,$2\").split(\",\"); }\nfunction decode_cell(cstr) { var splt = split_cell(cstr); return { c:decode_col(splt[0]), r:decode_row(splt[1]) }; }\nfunction encode_cell(cell) { return encode_col(cell.c) + encode_row(cell.r); }\nfunction fix_cell(cstr) { return fix_col(fix_row(cstr)); }\nfunction unfix_cell(cstr) { return unfix_col(unfix_row(cstr)); }\nfunction decode_range(range) { var x =range.split(\":\").map(decode_cell); return {s:x[0],e:x[x.length-1]}; }\nfunction encode_range(cs,ce) {\n\tif(ce === undefined || typeof ce === 'number') return encode_range(cs.s, cs.e);\n\tif(typeof cs !== 'string') cs = encode_cell(cs); if(typeof ce !== 'string') ce = encode_cell(ce);\n\treturn cs == ce ? cs : cs + \":\" + ce;\n}\n\nfunction safe_decode_range(range) {\n\tvar o = {s:{c:0,r:0},e:{c:0,r:0}};\n\tvar idx = 0, i = 0, cc = 0;\n\tvar len = range.length;\n\tfor(idx = 0; i < len; ++i) {\n\t\tif((cc=range.charCodeAt(i)-64) < 1 || cc > 26) break;\n\t\tidx = 26*idx + cc;\n\t}\n\to.s.c = --idx;\n\n\tfor(idx = 0; i < len; ++i) {\n\t\tif((cc=range.charCodeAt(i)-48) < 0 || cc > 9) break;\n\t\tidx = 10*idx + cc;\n\t}\n\to.s.r = --idx;\n\n\tif(i === len || range.charCodeAt(++i) === 58) { o.e.c=o.s.c; o.e.r=o.s.r; return o; }\n\n\tfor(idx = 0; i != len; ++i) {\n\t\tif((cc=range.charCodeAt(i)-64) < 1 || cc > 26) break;\n\t\tidx = 26*idx + cc;\n\t}\n\to.e.c = --idx;\n\n\tfor(idx = 0; i != len; ++i) {\n\t\tif((cc=range.charCodeAt(i)-48) < 0 || cc > 9) break;\n\t\tidx = 10*idx + cc;\n\t}\n\to.e.r = --idx;\n\treturn o;\n}\n\nfunction safe_format_cell(cell, v) {\n\tif(cell.z !== undefined) try { return (cell.w = SSF.format(cell.z, v)); } catch(e) { }\n\tif(!cell.XF) return v;\n\ttry { return (cell.w = SSF.format(cell.XF.ifmt||0, v)); } catch(e) { return ''+v; }\n}\n\nfunction format_cell(cell, v) {\n\tif(cell == null || cell.t == null) return \"\";\n\tif(cell.w !== undefined) return cell.w;\n\tif(v === undefined) return safe_format_cell(cell, cell.v);\n\treturn safe_format_cell(cell, v);\n}\n\nfunction sheet_to_json(sheet, opts){\n\tvar val, row, range, header = 0, offset = 1, r, hdr = [], isempty, R, C, v;\n\tvar o = opts != null ? opts : {};\n\tvar raw = o.raw;\n\tif(sheet == null || sheet[\"!ref\"] == null) return [];\n\trange = o.range !== undefined ? o.range : sheet[\"!ref\"];\n\tif(o.header === 1) header = 1;\n\telse if(o.header === \"A\") header = 2;\n\telse if(Array.isArray(o.header)) header = 3;\n\tswitch(typeof range) {\n\t\tcase 'string': r = safe_decode_range(range); break;\n\t\tcase 'number': r = safe_decode_range(sheet[\"!ref\"]); r.s.r = range; break;\n\t\tdefault: r = range;\n\t}\n\tif(header > 0) offset = 0;\n\tvar rr = encode_row(r.s.r);\n\tvar cols = new Array(r.e.c-r.s.c+1);\n\tvar out = new Array(r.e.r-r.s.r-offset+1);\n\tvar outi = 0;\n\tfor(C = r.s.c; C <= r.e.c; ++C) {\n\t\tcols[C] = encode_col(C);\n\t\tval = sheet[cols[C] + rr];\n\t\tswitch(header) {\n\t\t\tcase 1: hdr[C] = C; break;\n\t\t\tcase 2: hdr[C] = cols[C]; break;\n\t\t\tcase 3: hdr[C] = o.header[C - r.s.c]; break;\n\t\t\tdefault:\n\t\t\t\tif(val === undefined) continue;\n\t\t\t\thdr[C] = format_cell(val);\n\t\t}\n\t}\n\n\tfor (R = r.s.r + offset; R <= r.e.r; ++R) {\n\t\trr = encode_row(R);\n\t\tisempty = true;\n\t\tif(header === 1) row = [];\n\t\telse {\n\t\t\trow = {};\n\t\t\tif(Object.defineProperty) Object.defineProperty(row, '__rowNum__', {value:R, enumerable:false});\n\t\t\telse row.__rowNum__ = R;\n\t\t}\n\t\tfor (C = r.s.c; C <= r.e.c; ++C) {\n\t\t\tval = sheet[cols[C] + rr];\n\t\t\tif(val === undefined || val.t === undefined) continue;\n\t\t\tv = val.v;\n\t\t\tswitch(val.t){\n\t\t\t\tcase 'e': continue;\n\t\t\t\tcase 's': break;\n\t\t\t\tcase 'b': case 'n': break;\n\t\t\t\tdefault: throw 'unrecognized type ' + val.t;\n\t\t\t}\n\t\t\tif(v !== undefined) {\n\t\t\t\trow[hdr[C]] = raw ? v : format_cell(val,v);\n\t\t\t\tisempty = false;\n\t\t\t}\n\t\t}\n\t\tif(isempty === false || header === 1) out[outi++] = row;\n\t}\n\tout.length = outi;\n\treturn out;\n}\n\nfunction sheet_to_row_object_array(sheet, opts) { return sheet_to_json(sheet, opts != null ? opts : {}); }\n\nfunction sheet_to_csv(sheet, opts) {\n\tvar out = \"\", txt = \"\", qreg = /\"/g;\n\tvar o = opts == null ? {} : opts;\n\tif(sheet == null || sheet[\"!ref\"] == null) return \"\";\n\tvar r = safe_decode_range(sheet[\"!ref\"]);\n\tvar FS = o.FS !== undefined ? o.FS : \",\", fs = FS.charCodeAt(0);\n\tvar RS = o.RS !== undefined ? o.RS : \"\\n\", rs = RS.charCodeAt(0);\n\tvar row = \"\", rr = \"\", cols = [];\n\tvar i = 0, cc = 0, val;\n\tvar R = 0, C = 0;\n\tfor(C = r.s.c; C <= r.e.c; ++C) cols[C] = encode_col(C);\n\tfor(R = r.s.r; R <= r.e.r; ++R) {\n\t\trow = \"\";\n\t\trr = encode_row(R);\n\t\tfor(C = r.s.c; C <= r.e.c; ++C) {\n\t\t\tval = sheet[cols[C] + rr];\n\t\t\ttxt = val !== undefined ? ''+format_cell(val) : \"\";\n\t\t\tfor(i = 0, cc = 0; i !== txt.length; ++i) if((cc = txt.charCodeAt(i)) === fs || cc === rs || cc === 34) {\n\t\t\t\ttxt = \"\\\"\" + txt.replace(qreg, '\"\"') + \"\\\"\"; break; }\n\t\t\trow += (C === r.s.c ? \"\" : FS) + txt;\n\t\t}\n\t\tout += row + RS;\n\t}\n\treturn out;\n}\nvar make_csv = sheet_to_csv;\n\nfunction sheet_to_formulae(sheet) {\n\tvar cmds, y = \"\", x, val=\"\";\n\tif(sheet == null || sheet[\"!ref\"] == null) return \"\";\n\tvar r = safe_decode_range(sheet['!ref']), rr = \"\", cols = [], C;\n\tcmds = new Array((r.e.r-r.s.r+1)*(r.e.c-r.s.c+1));\n\tvar i = 0;\n\tfor(C = r.s.c; C <= r.e.c; ++C) cols[C] = encode_col(C);\n\tfor(var R = r.s.r; R <= r.e.r; ++R) {\n\t\trr = encode_row(R);\n\t\tfor(C = r.s.c; C <= r.e.c; ++C) {\n\t\t\ty = cols[C] + rr;\n\t\t\tx = sheet[y];\n\t\t\tval = \"\";\n\t\t\tif(x === undefined) continue;\n\t\t\tif(x.f != null) val = x.f;\n\t\t\telse if(x.w !== undefined) val = \"'\" + x.w;\n\t\t\telse if(x.v === undefined) continue;\n\t\t\telse val = \"\"+x.v;\n\t\t\tcmds[i++] = y + \"=\" + val;\n\t\t}\n\t}\n\tcmds.length = i;\n\treturn cmds;\n}\n\nvar utils = {\n\tencode_col: encode_col,\n\tencode_row: encode_row,\n\tencode_cell: encode_cell,\n\tencode_range: encode_range,\n\tdecode_col: decode_col,\n\tdecode_row: decode_row,\n\tsplit_cell: split_cell,\n\tdecode_cell: decode_cell,\n\tdecode_range: decode_range,\n\tformat_cell: format_cell,\n\tget_formulae: sheet_to_formulae,\n\tmake_csv: sheet_to_csv,\n\tmake_json: sheet_to_json,\n\tmake_formulae: sheet_to_formulae,\n\tsheet_to_csv: sheet_to_csv,\n\tsheet_to_json: sheet_to_json,\n\tsheet_to_formulae: sheet_to_formulae,\n\tsheet_to_row_object_array: sheet_to_row_object_array\n};\nXLSX.parse_xlscfb = parse_xlscfb;\nXLSX.parse_zip = parse_zip;\nXLSX.read = readSync; //xlsread\nXLSX.readFile = readFileSync; //readFile\nXLSX.readFileSync = readFileSync;\nXLSX.write = writeSync;\nXLSX.writeFile = writeFileSync;\nXLSX.writeFileSync = writeFileSync;\nXLSX.utils = utils;\nXLSX.CFB = CFB;\nXLSX.SSF = SSF;\n})(typeof exports !== 'undefined' ? exports : XLSX);\nvar XLS = XLSX;\n$tw.utils.extend(old_exports,exports);exports = old_exports;module.exports=exports;",
            "type": "application/javascript",
            "title": "$:/plugins/tiddlywiki/xlsx-utils/xlsx.js",
            "module-type": "library"
        },
        "$:/plugins/tiddlywiki/xlsx-utils/dist/cpexcel.js": {
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j != D[131].length; ++j) if(D[131][j].charCodeAt(0) !== 0xFFFD) { e[D[131][j]] = 33536 + j; d[33536 + j] = D[131][j];}\nD[132] = \"����������������������������������������������������������������АБВГДЕЁЖЗИЙКЛМНОПРСТУФХЦЧШЩЪЫЬЭЮЯ���������������абвгдеёжзийклмн�опрстуфхцчшщъыьэюя�������������─│┌┐┘└├┬┤┴┼━┃┏┓┛┗┣┳┫┻╋┠┯┨┷┿┝┰┥┸╂�����������������������������������������������������������������\".split(\"\");\nfor(j = 0; j != D[132].length; ++j) if(D[132][j].charCodeAt(0) !== 0xFFFD) { e[D[132][j]] = 33792 + j; d[33792 + j] = D[132][j];}\nD[135] = \"����������������������������������������������������������������①②③④⑤⑥⑦⑧⑨⑩⑪⑫⑬⑭⑮⑯⑰⑱⑲⑳ⅠⅡⅢⅣⅤⅥⅦⅧⅨⅩ�㍉㌔㌢㍍㌘㌧㌃㌶㍑㍗㌍㌦㌣㌫㍊㌻㎜㎝㎞㎎㎏㏄㎡��������㍻�〝〟№㏍℡㊤㊥㊦㊧㊨㈱㈲㈹㍾㍽㍼≒≡∫∮∑√⊥∠∟⊿∵∩∪���������������������������������������������������������������������������������������������������\".split(\"\");\nfor(j = 0; j != D[135].length; ++j) if(D[135][j].charCodeAt(0) !== 0xFFFD) { e[D[135][j]] = 34560 + j; d[34560 + j] = D[135][j];}\nD[136] = \"���������������������������������������������������������������������������������������������������������������������������������������������������������������亜唖娃阿哀愛挨姶逢葵茜穐悪握渥旭葦芦鯵梓圧斡扱宛姐虻飴絢綾鮎或粟袷安庵按暗案闇鞍杏以伊位依偉囲夷委威尉惟意慰易椅為畏異移維緯胃萎衣謂違遺医井亥域育郁磯一壱溢逸稲茨芋鰯允印咽員因姻引飲淫胤蔭���\".split(\"\");\nfor(j = 0; 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j != D[139].length; ++j) if(D[139][j].charCodeAt(0) !== 0xFFFD) { e[D[139][j]] = 35584 + j; d[35584 + j] = D[139][j];}\nD[140] = \"����������������������������������������������������������������掘窟沓靴轡窪熊隈粂栗繰桑鍬勲君薫訓群軍郡卦袈祁係傾刑兄啓圭珪型契形径恵慶慧憩掲携敬景桂渓畦稽系経継繋罫茎荊蛍計詣警軽頚鶏芸迎鯨�劇戟撃激隙桁傑欠決潔穴結血訣月件倹倦健兼券剣喧圏堅嫌建憲懸拳捲検権牽犬献研硯絹県肩見謙賢軒遣鍵険顕験鹸元原厳幻弦減源玄現絃舷言諺限乎個古呼固姑孤己庫弧戸故枯湖狐糊袴股胡菰虎誇跨鈷雇顧鼓五互伍午呉吾娯後御悟梧檎瑚碁語誤護醐乞鯉交佼侯候倖光公功効勾厚口向���\".split(\"\");\nfor(j = 0; j != D[140].length; ++j) if(D[140][j].charCodeAt(0) !== 0xFFFD) { e[D[140][j]] = 35840 + j; d[35840 + j] = D[140][j];}\nD[141] = \"����������������������������������������������������������������后喉坑垢好孔孝宏工巧巷幸広庚康弘恒慌抗拘控攻昂晃更杭校梗構江洪浩港溝甲皇硬稿糠紅紘絞綱耕考肯肱腔膏航荒行衡講貢購郊酵鉱砿鋼閤降�項香高鴻剛劫号合壕拷濠豪轟麹克刻告国穀酷鵠黒獄漉腰甑忽惚骨狛込此頃今困坤墾婚恨懇昏昆根梱混痕紺艮魂些佐叉唆嵯左差査沙瑳砂詐鎖裟坐座挫債催再最哉塞妻宰彩才採栽歳済災采犀砕砦祭斎細菜裁載際剤在材罪財冴坂阪堺榊肴咲崎埼碕鷺作削咋搾昨朔柵窄策索錯桜鮭笹匙冊刷���\".split(\"\");\nfor(j = 0; j != D[141].length; ++j) if(D[141][j].charCodeAt(0) !== 0xFFFD) { e[D[141][j]] = 36096 + j; d[36096 + j] = D[141][j];}\nD[142] = \"����������������������������������������������������������������察拶撮擦札殺薩雑皐鯖捌錆鮫皿晒三傘参山惨撒散桟燦珊産算纂蚕讃賛酸餐斬暫残仕仔伺使刺司史嗣四士始姉姿子屍市師志思指支孜斯施旨枝止�死氏獅祉私糸紙紫肢脂至視詞詩試誌諮資賜雌飼歯事似侍児字寺慈持時次滋治爾璽痔磁示而耳自蒔辞汐鹿式識鴫竺軸宍雫七叱執失嫉室悉湿漆疾質実蔀篠偲柴芝屡蕊縞舎写射捨赦斜煮社紗者謝車遮蛇邪借勺尺杓灼爵酌釈錫若寂弱惹主取守手朱殊狩珠種腫趣酒首儒受呪寿授樹綬需囚収周���\".split(\"\");\nfor(j = 0; j != D[142].length; ++j) if(D[142][j].charCodeAt(0) !== 0xFFFD) { e[D[142][j]] = 36352 + j; d[36352 + j] = D[142][j];}\nD[143] = \"����������������������������������������������������������������宗就州修愁拾洲秀秋終繍習臭舟蒐衆襲讐蹴輯週酋酬集醜什住充十従戎柔汁渋獣縦重銃叔夙宿淑祝縮粛塾熟出術述俊峻春瞬竣舜駿准循旬楯殉淳�準潤盾純巡遵醇順処初所暑曙渚庶緒署書薯藷諸助叙女序徐恕鋤除傷償勝匠升召哨商唱嘗奨妾娼宵将小少尚庄床廠彰承抄招掌捷昇昌昭晶松梢樟樵沼消渉湘焼焦照症省硝礁祥称章笑粧紹肖菖蒋蕉衝裳訟証詔詳象賞醤鉦鍾鐘障鞘上丈丞乗冗剰城場壌嬢常情擾条杖浄状畳穣蒸譲醸錠嘱埴飾���\".split(\"\");\nfor(j = 0; j != D[143].length; ++j) if(D[143][j].charCodeAt(0) !== 0xFFFD) { e[D[143][j]] = 36608 + j; d[36608 + j] = D[143][j];}\nD[144] = \"����������������������������������������������������������������拭植殖燭織職色触食蝕辱尻伸信侵唇娠寝審心慎振新晋森榛浸深申疹真神秦紳臣芯薪親診身辛進針震人仁刃塵壬尋甚尽腎訊迅陣靭笥諏須酢図厨�逗吹垂帥推水炊睡粋翠衰遂酔錐錘随瑞髄崇嵩数枢趨雛据杉椙菅頗雀裾澄摺寸世瀬畝是凄制勢姓征性成政整星晴棲栖正清牲生盛精聖声製西誠誓請逝醒青静斉税脆隻席惜戚斥昔析石積籍績脊責赤跡蹟碩切拙接摂折設窃節説雪絶舌蝉仙先千占宣専尖川戦扇撰栓栴泉浅洗染潜煎煽旋穿箭線���\".split(\"\");\nfor(j = 0; j != D[144].length; ++j) if(D[144][j].charCodeAt(0) !== 0xFFFD) { e[D[144][j]] = 36864 + j; d[36864 + j] = D[144][j];}\nD[145] = \"����������������������������������������������������������������繊羨腺舛船薦詮賎践選遷銭銑閃鮮前善漸然全禅繕膳糎噌塑岨措曾曽楚狙疏疎礎祖租粗素組蘇訴阻遡鼠僧創双叢倉喪壮奏爽宋層匝惣想捜掃挿掻�操早曹巣槍槽漕燥争痩相窓糟総綜聡草荘葬蒼藻装走送遭鎗霜騒像増憎臓蔵贈造促側則即息捉束測足速俗属賊族続卒袖其揃存孫尊損村遜他多太汰詑唾堕妥惰打柁舵楕陀駄騨体堆対耐岱帯待怠態戴替泰滞胎腿苔袋貸退逮隊黛鯛代台大第醍題鷹滝瀧卓啄宅托択拓沢濯琢託鐸濁諾茸凧蛸只���\".split(\"\");\nfor(j = 0; j != D[145].length; ++j) if(D[145][j].charCodeAt(0) !== 0xFFFD) { e[D[145][j]] = 37120 + j; d[37120 + j] = D[145][j];}\nD[146] = \"����������������������������������������������������������������叩但達辰奪脱巽竪辿棚谷狸鱈樽誰丹単嘆坦担探旦歎淡湛炭短端箪綻耽胆蛋誕鍛団壇弾断暖檀段男談値知地弛恥智池痴稚置致蜘遅馳築畜竹筑蓄�逐秩窒茶嫡着中仲宙忠抽昼柱注虫衷註酎鋳駐樗瀦猪苧著貯丁兆凋喋寵帖帳庁弔張彫徴懲挑暢朝潮牒町眺聴脹腸蝶調諜超跳銚長頂鳥勅捗直朕沈珍賃鎮陳津墜椎槌追鎚痛通塚栂掴槻佃漬柘辻蔦綴鍔椿潰坪壷嬬紬爪吊釣鶴亭低停偵剃貞呈堤定帝底庭廷弟悌抵挺提梯汀碇禎程締艇訂諦蹄逓���\".split(\"\");\nfor(j = 0; j != D[146].length; ++j) if(D[146][j].charCodeAt(0) !== 0xFFFD) { e[D[146][j]] = 37376 + j; d[37376 + j] = D[146][j];}\nD[147] = \"����������������������������������������������������������������邸鄭釘鼎泥摘擢敵滴的笛適鏑溺哲徹撤轍迭鉄典填天展店添纏甜貼転顛点伝殿澱田電兎吐堵塗妬屠徒斗杜渡登菟賭途都鍍砥砺努度土奴怒倒党冬�凍刀唐塔塘套宕島嶋悼投搭東桃梼棟盗淘湯涛灯燈当痘祷等答筒糖統到董蕩藤討謄豆踏逃透鐙陶頭騰闘働動同堂導憧撞洞瞳童胴萄道銅峠鴇匿得徳涜特督禿篤毒独読栃橡凸突椴届鳶苫寅酉瀞噸屯惇敦沌豚遁頓呑曇鈍奈那内乍凪薙謎灘捺鍋楢馴縄畷南楠軟難汝二尼弐迩匂賑肉虹廿日乳入���\".split(\"\");\nfor(j = 0; j != D[147].length; ++j) if(D[147][j].charCodeAt(0) !== 0xFFFD) { e[D[147][j]] = 37632 + j; d[37632 + j] = D[147][j];}\nD[148] = \"����������������������������������������������������������������如尿韮任妊忍認濡禰祢寧葱猫熱年念捻撚燃粘乃廼之埜嚢悩濃納能脳膿農覗蚤巴把播覇杷波派琶破婆罵芭馬俳廃拝排敗杯盃牌背肺輩配倍培媒梅�楳煤狽買売賠陪這蝿秤矧萩伯剥博拍柏泊白箔粕舶薄迫曝漠爆縛莫駁麦函箱硲箸肇筈櫨幡肌畑畠八鉢溌発醗髪伐罰抜筏閥鳩噺塙蛤隼伴判半反叛帆搬斑板氾汎版犯班畔繁般藩販範釆煩頒飯挽晩番盤磐蕃蛮匪卑否妃庇彼悲扉批披斐比泌疲皮碑秘緋罷肥被誹費避非飛樋簸備尾微枇毘琵眉美���\".split(\"\");\nfor(j = 0; j != D[148].length; ++j) if(D[148][j].charCodeAt(0) !== 0xFFFD) { e[D[148][j]] = 37888 + j; d[37888 + j] = D[148][j];}\nD[149] = \"����������������������������������������������������������������鼻柊稗匹疋髭彦膝菱肘弼必畢筆逼桧姫媛紐百謬俵彪標氷漂瓢票表評豹廟描病秒苗錨鋲蒜蛭鰭品彬斌浜瀕貧賓頻敏瓶不付埠夫婦富冨布府怖扶敷�斧普浮父符腐膚芙譜負賦赴阜附侮撫武舞葡蕪部封楓風葺蕗伏副復幅服福腹複覆淵弗払沸仏物鮒分吻噴墳憤扮焚奮粉糞紛雰文聞丙併兵塀幣平弊柄並蔽閉陛米頁僻壁癖碧別瞥蔑箆偏変片篇編辺返遍便勉娩弁鞭保舗鋪圃捕歩甫補輔穂募墓慕戊暮母簿菩倣俸包呆報奉宝峰峯崩庖抱捧放方朋���\".split(\"\");\nfor(j = 0; j != D[149].length; ++j) if(D[149][j].charCodeAt(0) !== 0xFFFD) { e[D[149][j]] = 38144 + j; d[38144 + j] = D[149][j];}\nD[150] = \"����������������������������������������������������������������法泡烹砲縫胞芳萌蓬蜂褒訪豊邦鋒飽鳳鵬乏亡傍剖坊妨帽忘忙房暴望某棒冒紡肪膨謀貌貿鉾防吠頬北僕卜墨撲朴牧睦穆釦勃没殆堀幌奔本翻凡盆�摩磨魔麻埋妹昧枚毎哩槙幕膜枕鮪柾鱒桝亦俣又抹末沫迄侭繭麿万慢満漫蔓味未魅巳箕岬密蜜湊蓑稔脈妙粍民眠務夢無牟矛霧鵡椋婿娘冥名命明盟迷銘鳴姪牝滅免棉綿緬面麺摸模茂妄孟毛猛盲網耗蒙儲木黙目杢勿餅尤戻籾貰問悶紋門匁也冶夜爺耶野弥矢厄役約薬訳躍靖柳薮鑓愉愈油癒���\".split(\"\");\nfor(j = 0; j != D[150].length; ++j) if(D[150][j].charCodeAt(0) !== 0xFFFD) { e[D[150][j]] = 38400 + j; d[38400 + j] = D[150][j];}\nD[151] = \"����������������������������������������������������������������諭輸唯佑優勇友宥幽悠憂揖有柚湧涌猶猷由祐裕誘遊邑郵雄融夕予余与誉輿預傭幼妖容庸揚揺擁曜楊様洋溶熔用窯羊耀葉蓉要謡踊遥陽養慾抑欲�沃浴翌翼淀羅螺裸来莱頼雷洛絡落酪乱卵嵐欄濫藍蘭覧利吏履李梨理璃痢裏裡里離陸律率立葎掠略劉流溜琉留硫粒隆竜龍侶慮旅虜了亮僚両凌寮料梁涼猟療瞭稜糧良諒遼量陵領力緑倫厘林淋燐琳臨輪隣鱗麟瑠塁涙累類令伶例冷励嶺怜玲礼苓鈴隷零霊麗齢暦歴列劣烈裂廉恋憐漣煉簾練聯���\".split(\"\");\nfor(j = 0; j != D[151].length; ++j) if(D[151][j].charCodeAt(0) !== 0xFFFD) { e[D[151][j]] = 38656 + j; d[38656 + j] = D[151][j];}\nD[152] = \"����������������������������������������������������������������蓮連錬呂魯櫓炉賂路露労婁廊弄朗楼榔浪漏牢狼篭老聾蝋郎六麓禄肋録論倭和話歪賄脇惑枠鷲亙亘鰐詫藁蕨椀湾碗腕��������������������������������������������弌丐丕个丱丶丼丿乂乖乘亂亅豫亊舒弍于亞亟亠亢亰亳亶从仍仄仆仂仗仞仭仟价伉佚估佛佝佗佇佶侈侏侘佻佩佰侑佯來侖儘俔俟俎俘俛俑俚俐俤俥倚倨倔倪倥倅伜俶倡倩倬俾俯們倆偃假會偕偐偈做偖偬偸傀傚傅傴傲���\".split(\"\");\nfor(j = 0; j != D[152].length; ++j) if(D[152][j].charCodeAt(0) !== 0xFFFD) { e[D[152][j]] = 38912 + j; d[38912 + j] = D[152][j];}\nD[153] = \"����������������������������������������������������������������僉僊傳僂僖僞僥僭僣僮價僵儉儁儂儖儕儔儚儡儺儷儼儻儿兀兒兌兔兢竸兩兪兮冀冂囘册冉冏冑冓冕冖冤冦冢冩冪冫决冱冲冰况冽凅凉凛几處凩凭�凰凵凾刄刋刔刎刧刪刮刳刹剏剄剋剌剞剔剪剴剩剳剿剽劍劔劒剱劈劑辨辧劬劭劼劵勁勍勗勞勣勦飭勠勳勵勸勹匆匈甸匍匐匏匕匚匣匯匱匳匸區卆卅丗卉卍凖卞卩卮夘卻卷厂厖厠厦厥厮厰厶參簒雙叟曼燮叮叨叭叺吁吽呀听吭吼吮吶吩吝呎咏呵咎呟呱呷呰咒呻咀呶咄咐咆哇咢咸咥咬哄哈咨���\".split(\"\");\nfor(j = 0; j != D[153].length; ++j) if(D[153][j].charCodeAt(0) !== 0xFFFD) { e[D[153][j]] = 39168 + j; d[39168 + j] = D[153][j];}\nD[154] = \"����������������������������������������������������������������咫哂咤咾咼哘哥哦唏唔哽哮哭哺哢唹啀啣啌售啜啅啖啗唸唳啝喙喀咯喊喟啻啾喘喞單啼喃喩喇喨嗚嗅嗟嗄嗜嗤嗔嘔嗷嘖嗾嗽嘛嗹噎噐營嘴嘶嘲嘸�噫噤嘯噬噪嚆嚀嚊嚠嚔嚏嚥嚮嚶嚴囂嚼囁囃囀囈囎囑囓囗囮囹圀囿圄圉圈國圍圓團圖嗇圜圦圷圸坎圻址坏坩埀垈坡坿垉垓垠垳垤垪垰埃埆埔埒埓堊埖埣堋堙堝塲堡塢塋塰毀塒堽塹墅墹墟墫墺壞墻墸墮壅壓壑壗壙壘壥壜壤壟壯壺壹壻壼壽夂夊夐夛梦夥夬夭夲夸夾竒奕奐奎奚奘奢奠奧奬奩���\".split(\"\");\nfor(j = 0; j != D[154].length; ++j) if(D[154][j].charCodeAt(0) !== 0xFFFD) { e[D[154][j]] = 39424 + j; d[39424 + j] = D[154][j];}\nD[155] = \"����������������������������������������������������������������奸妁妝佞侫妣妲姆姨姜妍姙姚娥娟娑娜娉娚婀婬婉娵娶婢婪媚媼媾嫋嫂媽嫣嫗嫦嫩嫖嫺嫻嬌嬋嬖嬲嫐嬪嬶嬾孃孅孀孑孕孚孛孥孩孰孳孵學斈孺宀�它宦宸寃寇寉寔寐寤實寢寞寥寫寰寶寳尅將專對尓尠尢尨尸尹屁屆屎屓屐屏孱屬屮乢屶屹岌岑岔妛岫岻岶岼岷峅岾峇峙峩峽峺峭嶌峪崋崕崗嵜崟崛崑崔崢崚崙崘嵌嵒嵎嵋嵬嵳嵶嶇嶄嶂嶢嶝嶬嶮嶽嶐嶷嶼巉巍巓巒巖巛巫已巵帋帚帙帑帛帶帷幄幃幀幎幗幔幟幢幤幇幵并幺麼广庠廁廂廈廐廏���\".split(\"\");\nfor(j = 0; j != D[155].length; ++j) if(D[155][j].charCodeAt(0) !== 0xFFFD) { e[D[155][j]] = 39680 + j; d[39680 + j] = D[155][j];}\nD[156] = \"����������������������������������������������������������������廖廣廝廚廛廢廡廨廩廬廱廳廰廴廸廾弃弉彝彜弋弑弖弩弭弸彁彈彌彎弯彑彖彗彙彡彭彳彷徃徂彿徊很徑徇從徙徘徠徨徭徼忖忻忤忸忱忝悳忿怡恠�怙怐怩怎怱怛怕怫怦怏怺恚恁恪恷恟恊恆恍恣恃恤恂恬恫恙悁悍惧悃悚悄悛悖悗悒悧悋惡悸惠惓悴忰悽惆悵惘慍愕愆惶惷愀惴惺愃愡惻惱愍愎慇愾愨愧慊愿愼愬愴愽慂慄慳慷慘慙慚慫慴慯慥慱慟慝慓慵憙憖憇憬憔憚憊憑憫憮懌懊應懷懈懃懆憺懋罹懍懦懣懶懺懴懿懽懼懾戀戈戉戍戌戔戛���\".split(\"\");\nfor(j = 0; j != D[156].length; ++j) if(D[156][j].charCodeAt(0) !== 0xFFFD) { e[D[156][j]] = 39936 + j; d[39936 + j] = D[156][j];}\nD[157] = \"����������������������������������������������������������������戞戡截戮戰戲戳扁扎扞扣扛扠扨扼抂抉找抒抓抖拔抃抔拗拑抻拏拿拆擔拈拜拌拊拂拇抛拉挌拮拱挧挂挈拯拵捐挾捍搜捏掖掎掀掫捶掣掏掉掟掵捫�捩掾揩揀揆揣揉插揶揄搖搴搆搓搦搶攝搗搨搏摧摯摶摎攪撕撓撥撩撈撼據擒擅擇撻擘擂擱擧舉擠擡抬擣擯攬擶擴擲擺攀擽攘攜攅攤攣攫攴攵攷收攸畋效敖敕敍敘敞敝敲數斂斃變斛斟斫斷旃旆旁旄旌旒旛旙无旡旱杲昊昃旻杳昵昶昴昜晏晄晉晁晞晝晤晧晨晟晢晰暃暈暎暉暄暘暝曁暹曉暾暼���\".split(\"\");\nfor(j = 0; j != D[157].length; ++j) if(D[157][j].charCodeAt(0) !== 0xFFFD) { e[D[157][j]] = 40192 + j; d[40192 + j] = D[157][j];}\nD[158] = \"����������������������������������������������������������������曄暸曖曚曠昿曦曩曰曵曷朏朖朞朦朧霸朮朿朶杁朸朷杆杞杠杙杣杤枉杰枩杼杪枌枋枦枡枅枷柯枴柬枳柩枸柤柞柝柢柮枹柎柆柧檜栞框栩桀桍栲桎�梳栫桙档桷桿梟梏梭梔條梛梃檮梹桴梵梠梺椏梍桾椁棊椈棘椢椦棡椌棍棔棧棕椶椒椄棗棣椥棹棠棯椨椪椚椣椡棆楹楷楜楸楫楔楾楮椹楴椽楙椰楡楞楝榁楪榲榮槐榿槁槓榾槎寨槊槝榻槃榧樮榑榠榜榕榴槞槨樂樛槿權槹槲槧樅榱樞槭樔槫樊樒櫁樣樓橄樌橲樶橸橇橢橙橦橈樸樢檐檍檠檄檢檣���\".split(\"\");\nfor(j = 0; j != D[158].length; ++j) if(D[158][j].charCodeAt(0) !== 0xFFFD) { e[D[158][j]] = 40448 + j; d[40448 + j] = D[158][j];}\nD[159] = \"����������������������������������������������������������������檗蘗檻櫃櫂檸檳檬櫞櫑櫟檪櫚櫪櫻欅蘖櫺欒欖鬱欟欸欷盜欹飮歇歃歉歐歙歔歛歟歡歸歹歿殀殄殃殍殘殕殞殤殪殫殯殲殱殳殷殼毆毋毓毟毬毫毳毯�麾氈氓气氛氤氣汞汕汢汪沂沍沚沁沛汾汨汳沒沐泄泱泓沽泗泅泝沮沱沾沺泛泯泙泪洟衍洶洫洽洸洙洵洳洒洌浣涓浤浚浹浙涎涕濤涅淹渕渊涵淇淦涸淆淬淞淌淨淒淅淺淙淤淕淪淮渭湮渮渙湲湟渾渣湫渫湶湍渟湃渺湎渤滿渝游溂溪溘滉溷滓溽溯滄溲滔滕溏溥滂溟潁漑灌滬滸滾漿滲漱滯漲滌���\".split(\"\");\nfor(j = 0; j != D[159].length; ++j) if(D[159][j].charCodeAt(0) !== 0xFFFD) { e[D[159][j]] = 40704 + j; d[40704 + j] = D[159][j];}\nD[224] = \"����������������������������������������������������������������漾漓滷澆潺潸澁澀潯潛濳潭澂潼潘澎澑濂潦澳澣澡澤澹濆澪濟濕濬濔濘濱濮濛瀉瀋濺瀑瀁瀏濾瀛瀚潴瀝瀘瀟瀰瀾瀲灑灣炙炒炯烱炬炸炳炮烟烋烝�烙焉烽焜焙煥煕熈煦煢煌煖煬熏燻熄熕熨熬燗熹熾燒燉燔燎燠燬燧燵燼燹燿爍爐爛爨爭爬爰爲爻爼爿牀牆牋牘牴牾犂犁犇犒犖犢犧犹犲狃狆狄狎狒狢狠狡狹狷倏猗猊猜猖猝猴猯猩猥猾獎獏默獗獪獨獰獸獵獻獺珈玳珎玻珀珥珮珞璢琅瑯琥珸琲琺瑕琿瑟瑙瑁瑜瑩瑰瑣瑪瑶瑾璋璞璧瓊瓏瓔珱���\".split(\"\");\nfor(j = 0; j != D[224].length; ++j) if(D[224][j].charCodeAt(0) !== 0xFFFD) { e[D[224][j]] = 57344 + j; d[57344 + j] = D[224][j];}\nD[225] = \"����������������������������������������������������������������瓠瓣瓧瓩瓮瓲瓰瓱瓸瓷甄甃甅甌甎甍甕甓甞甦甬甼畄畍畊畉畛畆畚畩畤畧畫畭畸當疆疇畴疊疉疂疔疚疝疥疣痂疳痃疵疽疸疼疱痍痊痒痙痣痞痾痿�痼瘁痰痺痲痳瘋瘍瘉瘟瘧瘠瘡瘢瘤瘴瘰瘻癇癈癆癜癘癡癢癨癩癪癧癬癰癲癶癸發皀皃皈皋皎皖皓皙皚皰皴皸皹皺盂盍盖盒盞盡盥盧盪蘯盻眈眇眄眩眤眞眥眦眛眷眸睇睚睨睫睛睥睿睾睹瞎瞋瞑瞠瞞瞰瞶瞹瞿瞼瞽瞻矇矍矗矚矜矣矮矼砌砒礦砠礪硅碎硴碆硼碚碌碣碵碪碯磑磆磋磔碾碼磅磊磬���\".split(\"\");\nfor(j = 0; j != D[225].length; ++j) if(D[225][j].charCodeAt(0) !== 0xFFFD) { e[D[225][j]] = 57600 + j; d[57600 + j] = D[225][j];}\nD[226] = \"����������������������������������������������������������������磧磚磽磴礇礒礑礙礬礫祀祠祗祟祚祕祓祺祿禊禝禧齋禪禮禳禹禺秉秕秧秬秡秣稈稍稘稙稠稟禀稱稻稾稷穃穗穉穡穢穩龝穰穹穽窈窗窕窘窖窩竈窰�窶竅竄窿邃竇竊竍竏竕竓站竚竝竡竢竦竭竰笂笏笊笆笳笘笙笞笵笨笶筐筺笄筍笋筌筅筵筥筴筧筰筱筬筮箝箘箟箍箜箚箋箒箏筝箙篋篁篌篏箴篆篝篩簑簔篦篥籠簀簇簓篳篷簗簍篶簣簧簪簟簷簫簽籌籃籔籏籀籐籘籟籤籖籥籬籵粃粐粤粭粢粫粡粨粳粲粱粮粹粽糀糅糂糘糒糜糢鬻糯糲糴糶糺紆���\".split(\"\");\nfor(j = 0; j != D[226].length; ++j) if(D[226][j].charCodeAt(0) !== 0xFFFD) { e[D[226][j]] = 57856 + j; d[57856 + j] = D[226][j];}\nD[227] = \"����������������������������������������������������������������紂紜紕紊絅絋紮紲紿紵絆絳絖絎絲絨絮絏絣經綉絛綏絽綛綺綮綣綵緇綽綫總綢綯緜綸綟綰緘緝緤緞緻緲緡縅縊縣縡縒縱縟縉縋縢繆繦縻縵縹繃縷�縲縺繧繝繖繞繙繚繹繪繩繼繻纃緕繽辮繿纈纉續纒纐纓纔纖纎纛纜缸缺罅罌罍罎罐网罕罔罘罟罠罨罩罧罸羂羆羃羈羇羌羔羞羝羚羣羯羲羹羮羶羸譱翅翆翊翕翔翡翦翩翳翹飜耆耄耋耒耘耙耜耡耨耿耻聊聆聒聘聚聟聢聨聳聲聰聶聹聽聿肄肆肅肛肓肚肭冐肬胛胥胙胝胄胚胖脉胯胱脛脩脣脯腋���\".split(\"\");\nfor(j = 0; j != D[227].length; ++j) if(D[227][j].charCodeAt(0) !== 0xFFFD) { e[D[227][j]] = 58112 + j; d[58112 + j] = D[227][j];}\nD[228] = \"����������������������������������������������������������������隋腆脾腓腑胼腱腮腥腦腴膃膈膊膀膂膠膕膤膣腟膓膩膰膵膾膸膽臀臂膺臉臍臑臙臘臈臚臟臠臧臺臻臾舁舂舅與舊舍舐舖舩舫舸舳艀艙艘艝艚艟艤�艢艨艪艫舮艱艷艸艾芍芒芫芟芻芬苡苣苟苒苴苳苺莓范苻苹苞茆苜茉苙茵茴茖茲茱荀茹荐荅茯茫茗茘莅莚莪莟莢莖茣莎莇莊荼莵荳荵莠莉莨菴萓菫菎菽萃菘萋菁菷萇菠菲萍萢萠莽萸蔆菻葭萪萼蕚蒄葷葫蒭葮蒂葩葆萬葯葹萵蓊葢蒹蒿蒟蓙蓍蒻蓚蓐蓁蓆蓖蒡蔡蓿蓴蔗蔘蔬蔟蔕蔔蓼蕀蕣蕘蕈���\".split(\"\");\nfor(j = 0; j != D[228].length; ++j) if(D[228][j].charCodeAt(0) !== 0xFFFD) { e[D[228][j]] = 58368 + j; d[58368 + j] = D[228][j];}\nD[229] = \"����������������������������������������������������������������蕁蘂蕋蕕薀薤薈薑薊薨蕭薔薛藪薇薜蕷蕾薐藉薺藏薹藐藕藝藥藜藹蘊蘓蘋藾藺蘆蘢蘚蘰蘿虍乕虔號虧虱蚓蚣蚩蚪蚋蚌蚶蚯蛄蛆蚰蛉蠣蚫蛔蛞蛩蛬�蛟蛛蛯蜒蜆蜈蜀蜃蛻蜑蜉蜍蛹蜊蜴蜿蜷蜻蜥蜩蜚蝠蝟蝸蝌蝎蝴蝗蝨蝮蝙蝓蝣蝪蠅螢螟螂螯蟋螽蟀蟐雖螫蟄螳蟇蟆螻蟯蟲蟠蠏蠍蟾蟶蟷蠎蟒蠑蠖蠕蠢蠡蠱蠶蠹蠧蠻衄衂衒衙衞衢衫袁衾袞衵衽袵衲袂袗袒袮袙袢袍袤袰袿袱裃裄裔裘裙裝裹褂裼裴裨裲褄褌褊褓襃褞褥褪褫襁襄褻褶褸襌褝襠襞���\".split(\"\");\nfor(j = 0; j != D[229].length; ++j) if(D[229][j].charCodeAt(0) !== 0xFFFD) { e[D[229][j]] = 58624 + j; d[58624 + j] = D[229][j];}\nD[230] = \"����������������������������������������������������������������襦襤襭襪襯襴襷襾覃覈覊覓覘覡覩覦覬覯覲覺覽覿觀觚觜觝觧觴觸訃訖訐訌訛訝訥訶詁詛詒詆詈詼詭詬詢誅誂誄誨誡誑誥誦誚誣諄諍諂諚諫諳諧�諤諱謔諠諢諷諞諛謌謇謚諡謖謐謗謠謳鞫謦謫謾謨譁譌譏譎證譖譛譚譫譟譬譯譴譽讀讌讎讒讓讖讙讚谺豁谿豈豌豎豐豕豢豬豸豺貂貉貅貊貍貎貔豼貘戝貭貪貽貲貳貮貶賈賁賤賣賚賽賺賻贄贅贊贇贏贍贐齎贓賍贔贖赧赭赱赳趁趙跂趾趺跏跚跖跌跛跋跪跫跟跣跼踈踉跿踝踞踐踟蹂踵踰踴蹊���\".split(\"\");\nfor(j = 0; j != D[230].length; ++j) if(D[230][j].charCodeAt(0) !== 0xFFFD) { e[D[230][j]] = 58880 + j; d[58880 + j] = D[230][j];}\nD[231] = \"����������������������������������������������������������������蹇蹉蹌蹐蹈蹙蹤蹠踪蹣蹕蹶蹲蹼躁躇躅躄躋躊躓躑躔躙躪躡躬躰軆躱躾軅軈軋軛軣軼軻軫軾輊輅輕輒輙輓輜輟輛輌輦輳輻輹轅轂輾轌轉轆轎轗轜�轢轣轤辜辟辣辭辯辷迚迥迢迪迯邇迴逅迹迺逑逕逡逍逞逖逋逧逶逵逹迸遏遐遑遒逎遉逾遖遘遞遨遯遶隨遲邂遽邁邀邊邉邏邨邯邱邵郢郤扈郛鄂鄒鄙鄲鄰酊酖酘酣酥酩酳酲醋醉醂醢醫醯醪醵醴醺釀釁釉釋釐釖釟釡釛釼釵釶鈞釿鈔鈬鈕鈑鉞鉗鉅鉉鉤鉈銕鈿鉋鉐銜銖銓銛鉚鋏銹銷鋩錏鋺鍄錮���\".split(\"\");\nfor(j = 0; j != D[231].length; ++j) if(D[231][j].charCodeAt(0) !== 0xFFFD) { e[D[231][j]] = 59136 + j; d[59136 + j] = D[231][j];}\nD[232] = \"����������������������������������������������������������������錙錢錚錣錺錵錻鍜鍠鍼鍮鍖鎰鎬鎭鎔鎹鏖鏗鏨鏥鏘鏃鏝鏐鏈鏤鐚鐔鐓鐃鐇鐐鐶鐫鐵鐡鐺鑁鑒鑄鑛鑠鑢鑞鑪鈩鑰鑵鑷鑽鑚鑼鑾钁鑿閂閇閊閔閖閘閙�閠閨閧閭閼閻閹閾闊濶闃闍闌闕闔闖關闡闥闢阡阨阮阯陂陌陏陋陷陜陞陝陟陦陲陬隍隘隕隗險隧隱隲隰隴隶隸隹雎雋雉雍襍雜霍雕雹霄霆霈霓霎霑霏霖霙霤霪霰霹霽霾靄靆靈靂靉靜靠靤靦靨勒靫靱靹鞅靼鞁靺鞆鞋鞏鞐鞜鞨鞦鞣鞳鞴韃韆韈韋韜韭齏韲竟韶韵頏頌頸頤頡頷頽顆顏顋顫顯顰���\".split(\"\");\nfor(j = 0; j != D[232].length; ++j) if(D[232][j].charCodeAt(0) !== 0xFFFD) { e[D[232][j]] = 59392 + j; d[59392 + j] = D[232][j];}\nD[233] = \"����������������������������������������������������������������顱顴顳颪颯颱颶飄飃飆飩飫餃餉餒餔餘餡餝餞餤餠餬餮餽餾饂饉饅饐饋饑饒饌饕馗馘馥馭馮馼駟駛駝駘駑駭駮駱駲駻駸騁騏騅駢騙騫騷驅驂驀驃�騾驕驍驛驗驟驢驥驤驩驫驪骭骰骼髀髏髑髓體髞髟髢髣髦髯髫髮髴髱髷髻鬆鬘鬚鬟鬢鬣鬥鬧鬨鬩鬪鬮鬯鬲魄魃魏魍魎魑魘魴鮓鮃鮑鮖鮗鮟鮠鮨鮴鯀鯊鮹鯆鯏鯑鯒鯣鯢鯤鯔鯡鰺鯲鯱鯰鰕鰔鰉鰓鰌鰆鰈鰒鰊鰄鰮鰛鰥鰤鰡鰰鱇鰲鱆鰾鱚鱠鱧鱶鱸鳧鳬鳰鴉鴈鳫鴃鴆鴪鴦鶯鴣鴟鵄鴕鴒鵁鴿鴾鵆鵈���\".split(\"\");\nfor(j = 0; j != D[233].length; ++j) if(D[233][j].charCodeAt(0) !== 0xFFFD) { e[D[233][j]] = 59648 + j; d[59648 + j] = D[233][j];}\nD[234] = \"����������������������������������������������������������������鵝鵞鵤鵑鵐鵙鵲鶉鶇鶫鵯鵺鶚鶤鶩鶲鷄鷁鶻鶸鶺鷆鷏鷂鷙鷓鷸鷦鷭鷯鷽鸚鸛鸞鹵鹹鹽麁麈麋麌麒麕麑麝麥麩麸麪麭靡黌黎黏黐黔黜點黝黠黥黨黯�黴黶黷黹黻黼黽鼇鼈皷鼕鼡鼬鼾齊齒齔齣齟齠齡齦齧齬齪齷齲齶龕龜龠堯槇遙瑤凜熙�������������������������������������������������������������������������������������������\".split(\"\");\nfor(j = 0; j != D[234].length; ++j) if(D[234][j].charCodeAt(0) !== 0xFFFD) { e[D[234][j]] = 59904 + j; d[59904 + j] = D[234][j];}\nD[237] = \"����������������������������������������������������������������纊褜鍈銈蓜俉炻昱棈鋹曻彅丨仡仼伀伃伹佖侒侊侚侔俍偀倢俿倞偆偰偂傔僴僘兊兤冝冾凬刕劜劦勀勛匀匇匤卲厓厲叝﨎咜咊咩哿喆坙坥垬埈埇﨏�塚增墲夋奓奛奝奣妤妺孖寀甯寘寬尞岦岺峵崧嵓﨑嵂嵭嶸嶹巐弡弴彧德忞恝悅悊惞惕愠惲愑愷愰憘戓抦揵摠撝擎敎昀昕昻昉昮昞昤晥晗晙晴晳暙暠暲暿曺朎朗杦枻桒柀栁桄棏﨓楨﨔榘槢樰橫橆橳橾櫢櫤毖氿汜沆汯泚洄涇浯涖涬淏淸淲淼渹湜渧渼溿澈澵濵瀅瀇瀨炅炫焏焄煜煆煇凞燁燾犱���\".split(\"\");\nfor(j = 0; j != D[237].length; ++j) if(D[237][j].charCodeAt(0) !== 0xFFFD) { e[D[237][j]] = 60672 + j; d[60672 + j] = D[237][j];}\nD[238] = \"����������������������������������������������������������������犾猤猪獷玽珉珖珣珒琇珵琦琪琩琮瑢璉璟甁畯皂皜皞皛皦益睆劯砡硎硤硺礰礼神祥禔福禛竑竧靖竫箞精絈絜綷綠緖繒罇羡羽茁荢荿菇菶葈蒴蕓蕙�蕫﨟薰蘒﨡蠇裵訒訷詹誧誾諟諸諶譓譿賰賴贒赶﨣軏﨤逸遧郞都鄕鄧釚釗釞釭釮釤釥鈆鈐鈊鈺鉀鈼鉎鉙鉑鈹鉧銧鉷鉸鋧鋗鋙鋐﨧鋕鋠鋓錥錡鋻﨨錞鋿錝錂鍰鍗鎤鏆鏞鏸鐱鑅鑈閒隆﨩隝隯霳霻靃靍靏靑靕顗顥飯飼餧館馞驎髙髜魵魲鮏鮱鮻鰀鵰鵫鶴鸙黑��ⅰⅱⅲⅳⅴⅵⅶⅷⅸⅹ￢￤＇＂���\".split(\"\");\nfor(j = 0; j != D[238].length; ++j) if(D[238][j].charCodeAt(0) !== 0xFFFD) { e[D[238][j]] = 60928 + j; d[60928 + j] = D[238][j];}\nD[250] = \"����������������������������������������������������������������ⅰⅱⅲⅳⅴⅵⅶⅷⅸⅹⅠⅡⅢⅣⅤⅥⅦⅧⅨⅩ￢￤＇＂㈱№℡∵纊褜鍈銈蓜俉炻昱棈鋹曻彅丨仡仼伀伃伹佖侒侊侚侔俍偀倢俿倞偆偰偂傔僴僘兊�兤冝冾凬刕劜劦勀勛匀匇匤卲厓厲叝﨎咜咊咩哿喆坙坥垬埈埇﨏塚增墲夋奓奛奝奣妤妺孖寀甯寘寬尞岦岺峵崧嵓﨑嵂嵭嶸嶹巐弡弴彧德忞恝悅悊惞惕愠惲愑愷愰憘戓抦揵摠撝擎敎昀昕昻昉昮昞昤晥晗晙晴晳暙暠暲暿曺朎朗杦枻桒柀栁桄棏﨓楨﨔榘槢樰橫橆橳橾櫢櫤毖氿汜沆汯泚洄涇浯���\".split(\"\");\nfor(j = 0; j != D[250].length; ++j) if(D[250][j].charCodeAt(0) !== 0xFFFD) { e[D[250][j]] = 64000 + j; d[64000 + j] = D[250][j];}\nD[251] = \"����������������������������������������������������������������涖涬淏淸淲淼渹湜渧渼溿澈澵濵瀅瀇瀨炅炫焏焄煜煆煇凞燁燾犱犾猤猪獷玽珉珖珣珒琇珵琦琪琩琮瑢璉璟甁畯皂皜皞皛皦益睆劯砡硎硤硺礰礼神�祥禔福禛竑竧靖竫箞精絈絜綷綠緖繒罇羡羽茁荢荿菇菶葈蒴蕓蕙蕫﨟薰蘒﨡蠇裵訒訷詹誧誾諟諸諶譓譿賰賴贒赶﨣軏﨤逸遧郞都鄕鄧釚釗釞釭釮釤釥鈆鈐鈊鈺鉀鈼鉎鉙鉑鈹鉧銧鉷鉸鋧鋗鋙鋐﨧鋕鋠鋓錥錡鋻﨨錞鋿錝錂鍰鍗鎤鏆鏞鏸鐱鑅鑈閒隆﨩隝隯霳霻靃靍靏靑靕顗顥飯飼餧館馞驎髙���\".split(\"\");\nfor(j = 0; j != D[251].length; ++j) if(D[251][j].charCodeAt(0) !== 0xFFFD) { e[D[251][j]] = 64256 + j; d[64256 + j] = D[251][j];}\nD[252] = \"����������������������������������������������������������������髜魵魲鮏鮱鮻鰀鵰鵫鶴鸙黑������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������\".split(\"\");\nfor(j = 0; j != D[252].length; ++j) if(D[252][j].charCodeAt(0) !== 0xFFFD) { e[D[252][j]] = 64512 + j; d[64512 + j] = D[252][j];}\nreturn {\"enc\": e, \"dec\": d }; })();\ncptable[936] = (function(){ var d = [], e = {}, D = [], j;\nD[0] = \"\\u0000\\u0001\\u0002\\u0003\\u0004\\u0005\\u0006\\u0007\\b\\t\\n\\u000b\\f\\r\\u000e\\u000f\\u0010\\u0011\\u0012\\u0013\\u0014\\u0015\\u0016\\u0017\\u0018\\u0019\\u001a\\u001b\\u001c\\u001d\\u001e\\u001f !\\\"#$%&'()*+,-./0123456789:;<=>?@ABCDEFGHIJKLMNOPQRSTUVWXYZ[\\\\]^_`abcdefghijklmnopqrstuvwxyz{|}~€�������������������������������������������������������������������������������������������������������������������������������\".split(\"\");\nfor(j = 0; j != D[0].length; ++j) if(D[0][j].charCodeAt(0) !== 0xFFFD) { e[D[0][j]] = 0 + j; d[0 + j] = D[0][j];}\nD[129] = \"����������������������������������������������������������������丂丄丅丆丏丒丗丟丠両丣並丩丮丯丱丳丵丷丼乀乁乂乄乆乊乑乕乗乚乛乢乣乤乥乧乨乪乫乬乭乮乯乲乴乵乶乷乸乹乺乻乼乽乿亀亁亂亃亄亅亇亊�亐亖亗亙亜亝亞亣亪亯亰亱亴亶亷亸亹亼亽亾仈仌仏仐仒仚仛仜仠仢仦仧仩仭仮仯仱仴仸仹仺仼仾伀伂伃伄伅伆伇伈伋伌伒伓伔伕伖伜伝伡伣伨伩伬伭伮伱伳伵伷伹伻伾伿佀佁佂佄佅佇佈佉佊佋佌佒佔佖佡佢佦佨佪佫佭佮佱佲併佷佸佹佺佽侀侁侂侅來侇侊侌侎侐侒侓侕侖侘侙侚侜侞侟価侢�\".split(\"\");\nfor(j = 0; j != D[129].length; ++j) if(D[129][j].charCodeAt(0) !== 0xFFFD) { e[D[129][j]] = 33024 + j; d[33024 + j] = D[129][j];}\nD[130] = \"����������������������������������������������������������������侤侫侭侰侱侲侳侴侶侷侸侹侺侻侼侽侾俀俁係俆俇俈俉俋俌俍俒俓俔俕俖俙俛俠俢俤俥俧俫俬俰俲俴俵俶俷俹俻俼俽俿倀倁倂倃倄倅倆倇倈倉倊�個倎倐們倓倕倖倗倛倝倞倠倢倣値倧倫倯倰倱倲倳倴倵倶倷倸倹倻倽倿偀偁偂偄偅偆偉偊偋偍偐偑偒偓偔偖偗偘偙偛偝偞偟偠偡偢偣偤偦偧偨偩偪偫偭偮偯偰偱偲偳側偵偸偹偺偼偽傁傂傃傄傆傇傉傊傋傌傎傏傐傑傒傓傔傕傖傗傘備傚傛傜傝傞傟傠傡傢傤傦傪傫傭傮傯傰傱傳傴債傶傷傸傹傼�\".split(\"\");\nfor(j = 0; j != D[130].length; ++j) if(D[130][j].charCodeAt(0) !== 0xFFFD) { e[D[130][j]] = 33280 + j; d[33280 + j] = D[130][j];}\nD[131] = \"����������������������������������������������������������������傽傾傿僀僁僂僃僄僅僆僇僈僉僊僋僌働僎僐僑僒僓僔僕僗僘僙僛僜僝僞僟僠僡僢僣僤僥僨僩僪僫僯僰僱僲僴僶僷僸價僺僼僽僾僿儀儁儂儃億儅儈�儉儊儌儍儎儏儐儑儓儔儕儖儗儘儙儚儛儜儝儞償儠儢儣儤儥儦儧儨儩優儫儬儭儮儯儰儱儲儳儴儵儶儷儸儹儺儻儼儽儾兂兇兊兌兎兏児兒兓兗兘兙兛兝兞兟兠兡兣兤兦內兩兪兯兲兺兾兿冃冄円冇冊冋冎冏冐冑冓冔冘冚冝冞冟冡冣冦冧冨冩冪冭冮冴冸冹冺冾冿凁凂凃凅凈凊凍凎凐凒凓凔凕凖凗�\".split(\"\");\nfor(j = 0; j != D[131].length; ++j) if(D[131][j].charCodeAt(0) !== 0xFFFD) { e[D[131][j]] = 33536 + j; d[33536 + j] = D[131][j];}\nD[132] = \"����������������������������������������������������������������凘凙凚凜凞凟凢凣凥処凧凨凩凪凬凮凱凲凴凷凾刄刅刉刋刌刏刐刓刔刕刜刞刟刡刢刣別刦刧刪刬刯刱刲刴刵刼刾剄剅剆則剈剉剋剎剏剒剓剕剗剘�剙剚剛剝剟剠剢剣剤剦剨剫剬剭剮剰剱剳剴創剶剷剸剹剺剻剼剾劀劃劄劅劆劇劉劊劋劌劍劎劏劑劒劔劕劖劗劘劙劚劜劤劥劦劧劮劯劰労劵劶劷劸効劺劻劼劽勀勁勂勄勅勆勈勊勌勍勎勏勑勓勔動勗務勚勛勜勝勞勠勡勢勣勥勦勧勨勩勪勫勬勭勮勯勱勲勳勴勵勶勷勸勻勼勽匁匂匃匄匇匉匊匋匌匎�\".split(\"\");\nfor(j = 0; j != D[132].length; ++j) if(D[132][j].charCodeAt(0) !== 0xFFFD) { e[D[132][j]] = 33792 + j; d[33792 + j] = D[132][j];}\nD[133] = \"����������������������������������������������������������������匑匒匓匔匘匛匜匞匟匢匤匥匧匨匩匫匬匭匯匰匱匲匳匴匵匶匷匸匼匽區卂卄卆卋卌卍卐協単卙卛卝卥卨卪卬卭卲卶卹卻卼卽卾厀厁厃厇厈厊厎厏�厐厑厒厓厔厖厗厙厛厜厞厠厡厤厧厪厫厬厭厯厰厱厲厳厴厵厷厸厹厺厼厽厾叀參叄叅叆叇収叏叐叒叓叕叚叜叝叞叡叢叧叴叺叾叿吀吂吅吇吋吔吘吙吚吜吢吤吥吪吰吳吶吷吺吽吿呁呂呄呅呇呉呌呍呎呏呑呚呝呞呟呠呡呣呥呧呩呪呫呬呭呮呯呰呴呹呺呾呿咁咃咅咇咈咉咊咍咑咓咗咘咜咞咟咠咡�\".split(\"\");\nfor(j = 0; j != D[133].length; ++j) if(D[133][j].charCodeAt(0) !== 0xFFFD) { e[D[133][j]] = 34048 + j; d[34048 + j] = D[133][j];}\nD[134] = \"����������������������������������������������������������������咢咥咮咰咲咵咶咷咹咺咼咾哃哅哊哋哖哘哛哠員哢哣哤哫哬哯哰哱哴哵哶哷哸哹哻哾唀唂唃唄唅唈唊唋唌唍唎唒唓唕唖唗唘唙唚唜唝唞唟唡唥唦�唨唩唫唭唲唴唵唶唸唹唺唻唽啀啂啅啇啈啋啌啍啎問啑啒啓啔啗啘啙啚啛啝啞啟啠啢啣啨啩啫啯啰啱啲啳啴啹啺啽啿喅喆喌喍喎喐喒喓喕喖喗喚喛喞喠喡喢喣喤喥喦喨喩喪喫喬喭單喯喰喲喴営喸喺喼喿嗀嗁嗂嗃嗆嗇嗈嗊嗋嗎嗏嗐嗕嗗嗘嗙嗚嗛嗞嗠嗢嗧嗩嗭嗮嗰嗱嗴嗶嗸嗹嗺嗻嗼嗿嘂嘃嘄嘅�\".split(\"\");\nfor(j = 0; j != D[134].length; ++j) if(D[134][j].charCodeAt(0) !== 0xFFFD) { e[D[134][j]] = 34304 + j; d[34304 + j] = D[134][j];}\nD[135] = \"����������������������������������������������������������������嘆嘇嘊嘋嘍嘐嘑嘒嘓嘔嘕嘖嘗嘙嘚嘜嘝嘠嘡嘢嘥嘦嘨嘩嘪嘫嘮嘯嘰嘳嘵嘷嘸嘺嘼嘽嘾噀噁噂噃噄噅噆噇噈噉噊噋噏噐噑噒噓噕噖噚噛噝噞噟噠噡�噣噥噦噧噭噮噯噰噲噳噴噵噷噸噹噺噽噾噿嚀嚁嚂嚃嚄嚇嚈嚉嚊嚋嚌嚍嚐嚑嚒嚔嚕嚖嚗嚘嚙嚚嚛嚜嚝嚞嚟嚠嚡嚢嚤嚥嚦嚧嚨嚩嚪嚫嚬嚭嚮嚰嚱嚲嚳嚴嚵嚶嚸嚹嚺嚻嚽嚾嚿囀囁囂囃囄囅囆囇囈囉囋囌囍囎囏囐囑囒囓囕囖囘囙囜団囥囦囧囨囩囪囬囮囯囲図囶囷囸囻囼圀圁圂圅圇國圌圍圎圏圐圑�\".split(\"\");\nfor(j = 0; j != D[135].length; ++j) if(D[135][j].charCodeAt(0) !== 0xFFFD) { e[D[135][j]] = 34560 + j; d[34560 + j] = D[135][j];}\nD[136] = \"����������������������������������������������������������������園圓圔圕圖圗團圙圚圛圝圞圠圡圢圤圥圦圧圫圱圲圴圵圶圷圸圼圽圿坁坃坄坅坆坈坉坋坒坓坔坕坖坘坙坢坣坥坧坬坮坰坱坲坴坵坸坹坺坽坾坿垀�垁垇垈垉垊垍垎垏垐垑垔垕垖垗垘垙垚垜垝垞垟垥垨垪垬垯垰垱垳垵垶垷垹垺垻垼垽垾垿埀埁埄埅埆埇埈埉埊埌埍埐埑埓埖埗埛埜埞埡埢埣埥埦埧埨埩埪埫埬埮埰埱埲埳埵埶執埻埼埾埿堁堃堄堅堈堉堊堌堎堏堐堒堓堔堖堗堘堚堛堜堝堟堢堣堥堦堧堨堩堫堬堭堮堯報堲堳場堶堷堸堹堺堻堼堽�\".split(\"\");\nfor(j = 0; j != D[136].length; ++j) if(D[136][j].charCodeAt(0) !== 0xFFFD) { e[D[136][j]] = 34816 + j; d[34816 + j] = D[136][j];}\nD[137] = \"����������������������������������������������������������������堾堿塀塁塂塃塅塆塇塈塉塊塋塎塏塐塒塓塕塖塗塙塚塛塜塝塟塠塡塢塣塤塦塧塨塩塪塭塮塯塰塱塲塳塴塵塶塷塸塹塺塻塼塽塿墂墄墆墇墈墊墋墌�墍墎墏墐墑墔墕墖増墘墛墜墝墠墡墢墣墤墥墦墧墪墫墬墭墮墯墰墱墲墳墴墵墶墷墸墹墺墻墽墾墿壀壂壃壄壆壇壈壉壊壋壌壍壎壏壐壒壓壔壖壗壘壙壚壛壜壝壞壟壠壡壢壣壥壦壧壨壩壪壭壯壱売壴壵壷壸壺壻壼壽壾壿夀夁夃夅夆夈変夊夋夌夎夐夑夒夓夗夘夛夝夞夠夡夢夣夦夨夬夰夲夳夵夶夻�\".split(\"\");\nfor(j = 0; j != D[137].length; ++j) if(D[137][j].charCodeAt(0) !== 0xFFFD) { e[D[137][j]] = 35072 + j; d[35072 + j] = D[137][j];}\nD[138] = \"����������������������������������������������������������������夽夾夿奀奃奅奆奊奌奍奐奒奓奙奛奜奝奞奟奡奣奤奦奧奨奩奪奫奬奭奮奯奰奱奲奵奷奺奻奼奾奿妀妅妉妋妌妎妏妐妑妔妕妘妚妛妜妝妟妠妡妢妦�妧妬妭妰妱妳妴妵妶妷妸妺妼妽妿姀姁姂姃姄姅姇姈姉姌姍姎姏姕姖姙姛姞姟姠姡姢姤姦姧姩姪姫姭姮姯姰姱姲姳姴姵姶姷姸姺姼姽姾娀娂娊娋娍娎娏娐娒娔娕娖娗娙娚娛娝娞娡娢娤娦娧娨娪娫娬娭娮娯娰娳娵娷娸娹娺娻娽娾娿婁婂婃婄婅婇婈婋婌婍婎婏婐婑婒婓婔婖婗婘婙婛婜婝婞婟婠�\".split(\"\");\nfor(j = 0; j != D[138].length; ++j) if(D[138][j].charCodeAt(0) !== 0xFFFD) { e[D[138][j]] = 35328 + j; d[35328 + j] = D[138][j];}\nD[139] = \"����������������������������������������������������������������婡婣婤婥婦婨婩婫婬婭婮婯婰婱婲婳婸婹婻婼婽婾媀媁媂媃媄媅媆媇媈媉媊媋媌媍媎媏媐媑媓媔媕媖媗媘媙媜媝媞媟媠媡媢媣媤媥媦媧媨媩媫媬�媭媮媯媰媱媴媶媷媹媺媻媼媽媿嫀嫃嫄嫅嫆嫇嫈嫊嫋嫍嫎嫏嫐嫑嫓嫕嫗嫙嫚嫛嫝嫞嫟嫢嫤嫥嫧嫨嫪嫬嫭嫮嫯嫰嫲嫳嫴嫵嫶嫷嫸嫹嫺嫻嫼嫽嫾嫿嬀嬁嬂嬃嬄嬅嬆嬇嬈嬊嬋嬌嬍嬎嬏嬐嬑嬒嬓嬔嬕嬘嬙嬚嬛嬜嬝嬞嬟嬠嬡嬢嬣嬤嬥嬦嬧嬨嬩嬪嬫嬬嬭嬮嬯嬰嬱嬳嬵嬶嬸嬹嬺嬻嬼嬽嬾嬿孁孂孃孄孅孆孇�\".split(\"\");\nfor(j = 0; j != D[139].length; ++j) if(D[139][j].charCodeAt(0) !== 0xFFFD) { e[D[139][j]] = 35584 + j; d[35584 + j] = D[139][j];}\nD[140] = \"����������������������������������������������������������������孈孉孊孋孌孍孎孏孒孖孞孠孡孧孨孫孭孮孯孲孴孶孷學孹孻孼孾孿宂宆宊宍宎宐宑宒宔宖実宧宨宩宬宭宮宯宱宲宷宺宻宼寀寁寃寈寉寊寋寍寎寏�寑寔寕寖寗寘寙寚寛寜寠寢寣實寧審寪寫寬寭寯寱寲寳寴寵寶寷寽対尀専尃尅將專尋尌對導尐尒尓尗尙尛尞尟尠尡尣尦尨尩尪尫尭尮尯尰尲尳尵尶尷屃屄屆屇屌屍屒屓屔屖屗屘屚屛屜屝屟屢層屧屨屩屪屫屬屭屰屲屳屴屵屶屷屸屻屼屽屾岀岃岄岅岆岇岉岊岋岎岏岒岓岕岝岞岟岠岡岤岥岦岧岨�\".split(\"\");\nfor(j = 0; j != D[140].length; ++j) if(D[140][j].charCodeAt(0) !== 0xFFFD) { e[D[140][j]] = 35840 + j; d[35840 + j] = D[140][j];}\nD[141] = \"����������������������������������������������������������������岪岮岯岰岲岴岶岹岺岻岼岾峀峂峃峅峆峇峈峉峊峌峍峎峏峐峑峓峔峕峖峗峘峚峛峜峝峞峟峠峢峣峧峩峫峬峮峯峱峲峳峴峵島峷峸峹峺峼峽峾峿崀�崁崄崅崈崉崊崋崌崍崏崐崑崒崓崕崗崘崙崚崜崝崟崠崡崢崣崥崨崪崫崬崯崰崱崲崳崵崶崷崸崹崺崻崼崿嵀嵁嵂嵃嵄嵅嵆嵈嵉嵍嵎嵏嵐嵑嵒嵓嵔嵕嵖嵗嵙嵚嵜嵞嵟嵠嵡嵢嵣嵤嵥嵦嵧嵨嵪嵭嵮嵰嵱嵲嵳嵵嵶嵷嵸嵹嵺嵻嵼嵽嵾嵿嶀嶁嶃嶄嶅嶆嶇嶈嶉嶊嶋嶌嶍嶎嶏嶐嶑嶒嶓嶔嶕嶖嶗嶘嶚嶛嶜嶞嶟嶠�\".split(\"\");\nfor(j = 0; j != D[141].length; ++j) if(D[141][j].charCodeAt(0) !== 0xFFFD) { e[D[141][j]] = 36096 + j; d[36096 + j] = D[141][j];}\nD[142] = \"����������������������������������������������������������������嶡嶢嶣嶤嶥嶦嶧嶨嶩嶪嶫嶬嶭嶮嶯嶰嶱嶲嶳嶴嶵嶶嶸嶹嶺嶻嶼嶽嶾嶿巀巁巂巃巄巆巇巈巉巊巋巌巎巏巐巑巒巓巔巕巖巗巘巙巚巜巟巠巣巤巪巬巭�巰巵巶巸巹巺巻巼巿帀帄帇帉帊帋帍帎帒帓帗帞帟帠帡帢帣帤帥帨帩帪師帬帯帰帲帳帴帵帶帹帺帾帿幀幁幃幆幇幈幉幊幋幍幎幏幐幑幒幓幖幗幘幙幚幜幝幟幠幣幤幥幦幧幨幩幪幫幬幭幮幯幰幱幵幷幹幾庁庂広庅庈庉庌庍庎庒庘庛庝庡庢庣庤庨庩庪庫庬庮庯庰庱庲庴庺庻庼庽庿廀廁廂廃廄廅�\".split(\"\");\nfor(j = 0; j != D[142].length; ++j) if(D[142][j].charCodeAt(0) !== 0xFFFD) { e[D[142][j]] = 36352 + j; d[36352 + j] = D[142][j];}\nD[143] = \"����������������������������������������������������������������廆廇廈廋廌廍廎廏廐廔廕廗廘廙廚廜廝廞廟廠廡廢廣廤廥廦廧廩廫廬廭廮廯廰廱廲廳廵廸廹廻廼廽弅弆弇弉弌弍弎弐弒弔弖弙弚弜弝弞弡弢弣弤�弨弫弬弮弰弲弳弴張弶強弸弻弽弾弿彁彂彃彄彅彆彇彈彉彊彋彌彍彎彏彑彔彙彚彛彜彞彟彠彣彥彧彨彫彮彯彲彴彵彶彸彺彽彾彿徃徆徍徎徏徑従徔徖徚徛徝從徟徠徢徣徤徥徦徧復徫徬徯徰徱徲徳徴徶徸徹徺徻徾徿忀忁忂忇忈忊忋忎忓忔忕忚忛応忞忟忢忣忥忦忨忩忬忯忰忲忳忴忶忷忹忺忼怇�\".split(\"\");\nfor(j = 0; j != D[143].length; ++j) if(D[143][j].charCodeAt(0) !== 0xFFFD) { e[D[143][j]] = 36608 + j; d[36608 + j] = D[143][j];}\nD[144] = \"����������������������������������������������������������������怈怉怋怌怐怑怓怗怘怚怞怟怢怣怤怬怭怮怰怱怲怳怴怶怷怸怹怺怽怾恀恄恅恆恇恈恉恊恌恎恏恑恓恔恖恗恘恛恜恞恟恠恡恥恦恮恱恲恴恵恷恾悀�悁悂悅悆悇悈悊悋悎悏悐悑悓悕悗悘悙悜悞悡悢悤悥悧悩悪悮悰悳悵悶悷悹悺悽悾悿惀惁惂惃惄惇惈惉惌惍惎惏惐惒惓惔惖惗惙惛惞惡惢惣惤惥惪惱惲惵惷惸惻惼惽惾惿愂愃愄愅愇愊愋愌愐愑愒愓愔愖愗愘愙愛愜愝愞愡愢愥愨愩愪愬愭愮愯愰愱愲愳愴愵愶愷愸愹愺愻愼愽愾慀慁慂慃慄慅慆�\".split(\"\");\nfor(j = 0; j != D[144].length; ++j) if(D[144][j].charCodeAt(0) !== 0xFFFD) { e[D[144][j]] = 36864 + j; d[36864 + j] = D[144][j];}\nD[145] = \"����������������������������������������������������������������慇慉態慍慏慐慒慓慔慖慗慘慙慚慛慜慞慟慠慡慣慤慥慦慩慪慫慬慭慮慯慱慲慳慴慶慸慹慺慻慼慽慾慿憀憁憂憃憄憅憆憇憈憉憊憌憍憏憐憑憒憓憕�憖憗憘憙憚憛憜憞憟憠憡憢憣憤憥憦憪憫憭憮憯憰憱憲憳憴憵憶憸憹憺憻憼憽憿懀懁懃懄懅懆懇應懌懍懎懏懐懓懕懖懗懘懙懚懛懜懝懞懟懠懡懢懣懤懥懧懨懩懪懫懬懭懮懯懰懱懲懳懴懶懷懸懹懺懻懼懽懾戀戁戂戃戄戅戇戉戓戔戙戜戝戞戠戣戦戧戨戩戫戭戯戰戱戲戵戶戸戹戺戻戼扂扄扅扆扊�\".split(\"\");\nfor(j = 0; j != D[145].length; ++j) if(D[145][j].charCodeAt(0) !== 0xFFFD) { e[D[145][j]] = 37120 + j; d[37120 + j] = D[145][j];}\nD[146] = \"����������������������������������������������������������������扏扐払扖扗扙扚扜扝扞扟扠扡扢扤扥扨扱扲扴扵扷扸扺扻扽抁抂抃抅抆抇抈抋抌抍抎抏抐抔抙抜抝択抣抦抧抩抪抭抮抯抰抲抳抴抶抷抸抺抾拀拁�拃拋拏拑拕拝拞拠拡拤拪拫拰拲拵拸拹拺拻挀挃挄挅挆挊挋挌挍挏挐挒挓挔挕挗挘挙挜挦挧挩挬挭挮挰挱挳挴挵挶挷挸挻挼挾挿捀捁捄捇捈捊捑捒捓捔捖捗捘捙捚捛捜捝捠捤捥捦捨捪捫捬捯捰捲捳捴捵捸捹捼捽捾捿掁掃掄掅掆掋掍掑掓掔掕掗掙掚掛掜掝掞掟採掤掦掫掯掱掲掵掶掹掻掽掿揀�\".split(\"\");\nfor(j = 0; j != D[146].length; ++j) if(D[146][j].charCodeAt(0) !== 0xFFFD) { e[D[146][j]] = 37376 + j; d[37376 + j] = D[146][j];}\nD[147] = \"����������������������������������������������������������������揁揂揃揅揇揈揊揋揌揑揓揔揕揗揘揙揚換揜揝揟揢揤揥揦揧揨揫揬揮揯揰揱揳揵揷揹揺揻揼揾搃搄搆搇搈搉搊損搎搑搒搕搖搗搘搙搚搝搟搢搣搤�搥搧搨搩搫搮搯搰搱搲搳搵搶搷搸搹搻搼搾摀摂摃摉摋摌摍摎摏摐摑摓摕摖摗摙摚摛摜摝摟摠摡摢摣摤摥摦摨摪摫摬摮摯摰摱摲摳摴摵摶摷摻摼摽摾摿撀撁撃撆撈撉撊撋撌撍撎撏撐撓撔撗撘撚撛撜撝撟撠撡撢撣撥撦撧撨撪撫撯撱撲撳撴撶撹撻撽撾撿擁擃擄擆擇擈擉擊擋擌擏擑擓擔擕擖擙據�\".split(\"\");\nfor(j = 0; j != D[147].length; ++j) if(D[147][j].charCodeAt(0) !== 0xFFFD) { e[D[147][j]] = 37632 + j; d[37632 + j] = D[147][j];}\nD[148] = \"����������������������������������������������������������������擛擜擝擟擠擡擣擥擧擨擩擪擫擬擭擮擯擰擱擲擳擴擵擶擷擸擹擺擻擼擽擾擿攁攂攃攄攅攆攇攈攊攋攌攍攎攏攐攑攓攔攕攖攗攙攚攛攜攝攞攟攠攡�攢攣攤攦攧攨攩攪攬攭攰攱攲攳攷攺攼攽敀敁敂敃敄敆敇敊敋敍敎敐敒敓敔敗敘敚敜敟敠敡敤敥敧敨敩敪敭敮敯敱敳敵敶數敹敺敻敼敽敾敿斀斁斂斃斄斅斆斈斉斊斍斎斏斒斔斕斖斘斚斝斞斠斢斣斦斨斪斬斮斱斲斳斴斵斶斷斸斺斻斾斿旀旂旇旈旉旊旍旐旑旓旔旕旘旙旚旛旜旝旞旟旡旣旤旪旫�\".split(\"\");\nfor(j = 0; j != D[148].length; ++j) if(D[148][j].charCodeAt(0) !== 0xFFFD) { e[D[148][j]] = 37888 + j; d[37888 + j] = D[148][j];}\nD[149] = \"����������������������������������������������������������������旲旳旴旵旸旹旻旼旽旾旿昁昄昅昇昈昉昋昍昐昑昒昖昗昘昚昛昜昞昡昢昣昤昦昩昪昫昬昮昰昲昳昷昸昹昺昻昽昿晀時晄晅晆晇晈晉晊晍晎晐晑晘�晙晛晜晝晞晠晢晣晥晧晩晪晫晬晭晱晲晳晵晸晹晻晼晽晿暀暁暃暅暆暈暉暊暋暍暎暏暐暒暓暔暕暘暙暚暛暜暞暟暠暡暢暣暤暥暦暩暪暫暬暭暯暰暱暲暳暵暶暷暸暺暻暼暽暿曀曁曂曃曄曅曆曇曈曉曊曋曌曍曎曏曐曑曒曓曔曕曖曗曘曚曞曟曠曡曢曣曤曥曧曨曪曫曬曭曮曯曱曵曶書曺曻曽朁朂會�\".split(\"\");\nfor(j = 0; j != D[149].length; ++j) if(D[149][j].charCodeAt(0) !== 0xFFFD) { e[D[149][j]] = 38144 + j; d[38144 + j] = D[149][j];}\nD[150] = \"����������������������������������������������������������������朄朅朆朇朌朎朏朑朒朓朖朘朙朚朜朞朠朡朢朣朤朥朧朩朮朰朲朳朶朷朸朹朻朼朾朿杁杄杅杇杊杋杍杒杔杕杗杘杙杚杛杝杢杣杤杦杧杫杬杮東杴杶�杸杹杺杻杽枀枂枃枅枆枈枊枌枍枎枏枑枒枓枔枖枙枛枟枠枡枤枦枩枬枮枱枲枴枹枺枻枼枽枾枿柀柂柅柆柇柈柉柊柋柌柍柎柕柖柗柛柟柡柣柤柦柧柨柪柫柭柮柲柵柶柷柸柹柺査柼柾栁栂栃栄栆栍栐栒栔栕栘栙栚栛栜栞栟栠栢栣栤栥栦栧栨栫栬栭栮栯栰栱栴栵栶栺栻栿桇桋桍桏桒桖桗桘桙桚桛�\".split(\"\");\nfor(j = 0; j != D[150].length; ++j) if(D[150][j].charCodeAt(0) !== 0xFFFD) { e[D[150][j]] = 38400 + j; d[38400 + j] = D[150][j];}\nD[151] = \"����������������������������������������������������������������桜桝桞桟桪桬桭桮桯桰桱桲桳桵桸桹桺桻桼桽桾桿梀梂梄梇梈梉梊梋梌梍梎梐梑梒梔梕梖梘梙梚梛梜條梞梟梠梡梣梤梥梩梪梫梬梮梱梲梴梶梷梸�梹梺梻梼梽梾梿棁棃棄棅棆棇棈棊棌棎棏棐棑棓棔棖棗棙棛棜棝棞棟棡棢棤棥棦棧棨棩棪棫棬棭棯棲棳棴棶棷棸棻棽棾棿椀椂椃椄椆椇椈椉椊椌椏椑椓椔椕椖椗椘椙椚椛検椝椞椡椢椣椥椦椧椨椩椪椫椬椮椯椱椲椳椵椶椷椸椺椻椼椾楀楁楃楄楅楆楇楈楉楊楋楌楍楎楏楐楑楒楓楕楖楘楙楛楜楟�\".split(\"\");\nfor(j = 0; j != D[151].length; ++j) if(D[151][j].charCodeAt(0) !== 0xFFFD) { e[D[151][j]] = 38656 + j; d[38656 + j] = D[151][j];}\nD[152] = \"����������������������������������������������������������������楡楢楤楥楧楨楩楪楬業楯楰楲楳楴極楶楺楻楽楾楿榁榃榅榊榋榌榎榏榐榑榒榓榖榗榙榚榝榞榟榠榡榢榣榤榥榦榩榪榬榮榯榰榲榳榵榶榸榹榺榼榽�榾榿槀槂槃槄槅槆槇槈槉構槍槏槑槒槓槕槖槗様槙槚槜槝槞槡槢槣槤槥槦槧槨槩槪槫槬槮槯槰槱槳槴槵槶槷槸槹槺槻槼槾樀樁樂樃樄樅樆樇樈樉樋樌樍樎樏樐樑樒樓樔樕樖標樚樛樜樝樞樠樢樣樤樥樦樧権樫樬樭樮樰樲樳樴樶樷樸樹樺樻樼樿橀橁橂橃橅橆橈橉橊橋橌橍橎橏橑橒橓橔橕橖橗橚�\".split(\"\");\nfor(j = 0; j != D[152].length; ++j) if(D[152][j].charCodeAt(0) !== 0xFFFD) { e[D[152][j]] = 38912 + j; d[38912 + j] = D[152][j];}\nD[153] = \"����������������������������������������������������������������橜橝橞機橠橢橣橤橦橧橨橩橪橫橬橭橮橯橰橲橳橴橵橶橷橸橺橻橽橾橿檁檂檃檅檆檇檈檉檊檋檌檍檏檒檓檔檕檖檘檙檚檛檜檝檞檟檡檢檣檤檥檦�檧檨檪檭檮檯檰檱檲檳檴檵檶檷檸檹檺檻檼檽檾檿櫀櫁櫂櫃櫄櫅櫆櫇櫈櫉櫊櫋櫌櫍櫎櫏櫐櫑櫒櫓櫔櫕櫖櫗櫘櫙櫚櫛櫜櫝櫞櫟櫠櫡櫢櫣櫤櫥櫦櫧櫨櫩櫪櫫櫬櫭櫮櫯櫰櫱櫲櫳櫴櫵櫶櫷櫸櫹櫺櫻櫼櫽櫾櫿欀欁欂欃欄欅欆欇欈欉權欋欌欍欎欏欐欑欒欓欔欕欖欗欘欙欚欛欜欝欞欟欥欦欨欩欪欫欬欭欮�\".split(\"\");\nfor(j = 0; j != D[153].length; ++j) if(D[153][j].charCodeAt(0) !== 0xFFFD) { e[D[153][j]] = 39168 + j; d[39168 + j] = D[153][j];}\nD[154] = \"����������������������������������������������������������������欯欰欱欳欴欵欶欸欻欼欽欿歀歁歂歄歅歈歊歋歍歎歏歐歑歒歓歔歕歖歗歘歚歛歜歝歞歟歠歡歨歩歫歬歭歮歯歰歱歲歳歴歵歶歷歸歺歽歾歿殀殅殈�殌殎殏殐殑殔殕殗殘殙殜殝殞殟殠殢殣殤殥殦殧殨殩殫殬殭殮殯殰殱殲殶殸殹殺殻殼殽殾毀毃毄毆毇毈毉毊毌毎毐毑毘毚毜毝毞毟毠毢毣毤毥毦毧毨毩毬毭毮毰毱毲毴毶毷毸毺毻毼毾毿氀氁氂氃氄氈氉氊氋氌氎氒気氜氝氞氠氣氥氫氬氭氱氳氶氷氹氺氻氼氾氿汃汄汅汈汋汌汍汎汏汑汒汓汖汘�\".split(\"\");\nfor(j = 0; j != D[154].length; ++j) if(D[154][j].charCodeAt(0) !== 0xFFFD) { e[D[154][j]] = 39424 + j; d[39424 + j] = D[154][j];}\nD[155] = \"����������������������������������������������������������������汙汚汢汣汥汦汧汫汬汭汮汯汱汳汵汷汸決汻汼汿沀沄沇沊沋沍沎沑沒沕沖沗沘沚沜沝沞沠沢沨沬沯沰沴沵沶沷沺泀況泂泃泆泇泈泋泍泎泏泑泒泘�泙泚泜泝泟泤泦泧泩泬泭泲泴泹泿洀洂洃洅洆洈洉洊洍洏洐洑洓洔洕洖洘洜洝洟洠洡洢洣洤洦洨洩洬洭洯洰洴洶洷洸洺洿浀浂浄浉浌浐浕浖浗浘浛浝浟浡浢浤浥浧浨浫浬浭浰浱浲浳浵浶浹浺浻浽浾浿涀涁涃涄涆涇涊涋涍涏涐涒涖涗涘涙涚涜涢涥涬涭涰涱涳涴涶涷涹涺涻涼涽涾淁淂淃淈淉淊�\".split(\"\");\nfor(j = 0; j != D[155].length; ++j) if(D[155][j].charCodeAt(0) !== 0xFFFD) { e[D[155][j]] = 39680 + j; d[39680 + j] = D[155][j];}\nD[156] = \"����������������������������������������������������������������淍淎淏淐淒淓淔淕淗淚淛淜淟淢淣淥淧淨淩淪淭淯淰淲淴淵淶淸淺淽淾淿渀渁渂渃渄渆渇済渉渋渏渒渓渕渘渙減渜渞渟渢渦渧渨渪測渮渰渱渳渵�渶渷渹渻渼渽渾渿湀湁湂湅湆湇湈湉湊湋湌湏湐湑湒湕湗湙湚湜湝湞湠湡湢湣湤湥湦湧湨湩湪湬湭湯湰湱湲湳湴湵湶湷湸湹湺湻湼湽満溁溂溄溇溈溊溋溌溍溎溑溒溓溔溕準溗溙溚溛溝溞溠溡溣溤溦溨溩溫溬溭溮溰溳溵溸溹溼溾溿滀滃滄滅滆滈滉滊滌滍滎滐滒滖滘滙滛滜滝滣滧滪滫滬滭滮滯�\".split(\"\");\nfor(j = 0; j != D[156].length; ++j) if(D[156][j].charCodeAt(0) !== 0xFFFD) { e[D[156][j]] = 39936 + j; d[39936 + j] = D[156][j];}\nD[157] = \"����������������������������������������������������������������滰滱滲滳滵滶滷滸滺滻滼滽滾滿漀漁漃漄漅漇漈漊漋漌漍漎漐漑漒漖漗漘漙漚漛漜漝漞漟漡漢漣漥漦漧漨漬漮漰漲漴漵漷漸漹漺漻漼漽漿潀潁潂�潃潄潅潈潉潊潌潎潏潐潑潒潓潔潕潖潗潙潚潛潝潟潠潡潣潤潥潧潨潩潪潫潬潯潰潱潳潵潶潷潹潻潽潾潿澀澁澂澃澅澆澇澊澋澏澐澑澒澓澔澕澖澗澘澙澚澛澝澞澟澠澢澣澤澥澦澨澩澪澫澬澭澮澯澰澱澲澴澵澷澸澺澻澼澽澾澿濁濃濄濅濆濇濈濊濋濌濍濎濏濐濓濔濕濖濗濘濙濚濛濜濝濟濢濣濤濥�\".split(\"\");\nfor(j = 0; j != D[157].length; ++j) if(D[157][j].charCodeAt(0) !== 0xFFFD) { e[D[157][j]] = 40192 + j; d[40192 + j] = D[157][j];}\nD[158] = \"����������������������������������������������������������������濦濧濨濩濪濫濬濭濰濱濲濳濴濵濶濷濸濹濺濻濼濽濾濿瀀瀁瀂瀃瀄瀅瀆瀇瀈瀉瀊瀋瀌瀍瀎瀏瀐瀒瀓瀔瀕瀖瀗瀘瀙瀜瀝瀞瀟瀠瀡瀢瀤瀥瀦瀧瀨瀩瀪�瀫瀬瀭瀮瀯瀰瀱瀲瀳瀴瀶瀷瀸瀺瀻瀼瀽瀾瀿灀灁灂灃灄灅灆灇灈灉灊灋灍灎灐灑灒灓灔灕灖灗灘灙灚灛灜灝灟灠灡灢灣灤灥灦灧灨灩灪灮灱灲灳灴灷灹灺灻災炁炂炃炄炆炇炈炋炌炍炏炐炑炓炗炘炚炛炞炟炠炡炢炣炤炥炦炧炨炩炪炰炲炴炵炶為炾炿烄烅烆烇烉烋烌烍烎烏烐烑烒烓烔烕烖烗烚�\".split(\"\");\nfor(j = 0; j != D[158].length; ++j) if(D[158][j].charCodeAt(0) !== 0xFFFD) { e[D[158][j]] = 40448 + j; d[40448 + j] = D[158][j];}\nD[159] = \"����������������������������������������������������������������烜烝烞烠烡烢烣烥烪烮烰烱烲烳烴烵烶烸烺烻烼烾烿焀焁焂焃焄焅焆焇焈焋焌焍焎焏焑焒焔焗焛焜焝焞焟焠無焢焣焤焥焧焨焩焪焫焬焭焮焲焳焴�焵焷焸焹焺焻焼焽焾焿煀煁煂煃煄煆煇煈煉煋煍煏煐煑煒煓煔煕煖煗煘煙煚煛煝煟煠煡煢煣煥煩煪煫煬煭煯煰煱煴煵煶煷煹煻煼煾煿熀熁熂熃熅熆熇熈熉熋熌熍熎熐熑熒熓熕熖熗熚熛熜熝熞熡熢熣熤熥熦熧熩熪熫熭熮熯熰熱熲熴熶熷熸熺熻熼熽熾熿燀燁燂燄燅燆燇燈燉燊燋燌燍燏燐燑燒燓�\".split(\"\");\nfor(j = 0; j != D[159].length; ++j) if(D[159][j].charCodeAt(0) !== 0xFFFD) { e[D[159][j]] = 40704 + j; d[40704 + j] = D[159][j];}\nD[160] = \"����������������������������������������������������������������燖燗燘燙燚燛燜燝燞營燡燢燣燤燦燨燩燪燫燬燭燯燰燱燲燳燴燵燶燷燸燺燻燼燽燾燿爀爁爂爃爄爅爇爈爉爊爋爌爍爎爏爐爑爒爓爔爕爖爗爘爙爚�爛爜爞爟爠爡爢爣爤爥爦爧爩爫爭爮爯爲爳爴爺爼爾牀牁牂牃牄牅牆牉牊牋牎牏牐牑牓牔牕牗牘牚牜牞牠牣牤牥牨牪牫牬牭牰牱牳牴牶牷牸牻牼牽犂犃犅犆犇犈犉犌犎犐犑犓犔犕犖犗犘犙犚犛犜犝犞犠犡犢犣犤犥犦犧犨犩犪犫犮犱犲犳犵犺犻犼犽犾犿狀狅狆狇狉狊狋狌狏狑狓狔狕狖狘狚狛�\".split(\"\");\nfor(j = 0; j != D[160].length; ++j) if(D[160][j].charCodeAt(0) !== 0xFFFD) { e[D[160][j]] = 40960 + j; d[40960 + j] = D[160][j];}\nD[161] = \"�����������������������������������������������������������������������������������������������������������������������������������������������������������������　、。·ˉˇ¨〃々—～‖…‘’“”〔〕〈〉《》「」『』〖〗【】±×÷∶∧∨∑∏∪∩∈∷√⊥∥∠⌒⊙∫∮≡≌≈∽∝≠≮≯≤≥∞∵∴♂♀°′″℃＄¤￠￡‰§№☆★○●◎◇◆□■△▲※→←↑↓〓�\".split(\"\");\nfor(j = 0; j != D[161].length; ++j) if(D[161][j].charCodeAt(0) !== 0xFFFD) { e[D[161][j]] = 41216 + j; d[41216 + j] = D[161][j];}\nD[162] = \"�����������������������������������������������������������������������������������������������������������������������������������������������������������������ⅰⅱⅲⅳⅴⅵⅶⅷⅸⅹ������⒈⒉⒊⒋⒌⒍⒎⒏⒐⒑⒒⒓⒔⒕⒖⒗⒘⒙⒚⒛⑴⑵⑶⑷⑸⑹⑺⑻⑼⑽⑾⑿⒀⒁⒂⒃⒄⒅⒆⒇①②③④⑤⑥⑦⑧⑨⑩��㈠㈡㈢㈣㈤㈥㈦㈧㈨㈩��ⅠⅡⅢⅣⅤⅥⅦⅧⅨⅩⅪⅫ���\".split(\"\");\nfor(j = 0; j != D[162].length; ++j) if(D[162][j].charCodeAt(0) !== 0xFFFD) { e[D[162][j]] = 41472 + j; d[41472 + j] = D[162][j];}\nD[163] = \"�����������������������������������������������������������������������������������������������������������������������������������������������������������������！＂＃￥％＆＇（）＊＋，－．／０１２３４５６７８９：；＜＝＞？＠ＡＢＣＤＥＦＧＨＩＪＫＬＭＮＯＰＱＲＳＴＵＶＷＸＹＺ［＼］＾＿｀ａｂｃｄｅｆｇｈｉｊｋｌｍｎｏｐｑｒｓｔｕｖｗｘｙｚ｛｜｝￣�\".split(\"\");\nfor(j = 0; j != D[163].length; ++j) if(D[163][j].charCodeAt(0) !== 0xFFFD) { e[D[163][j]] = 41728 + j; d[41728 + j] = D[163][j];}\nD[164] = \"�����������������������������������������������������������������������������������������������������������������������������������������������������������������ぁあぃいぅうぇえぉおかがきぎくぐけげこごさざしじすずせぜそぞただちぢっつづてでとどなにぬねのはばぱひびぴふぶぷへべぺほぼぽまみむめもゃやゅゆょよらりるれろゎわゐゑをん������������\".split(\"\");\nfor(j = 0; j != D[164].length; ++j) if(D[164][j].charCodeAt(0) !== 0xFFFD) { e[D[164][j]] = 41984 + j; d[41984 + j] = D[164][j];}\nD[165] = \"�����������������������������������������������������������������������������������������������������������������������������������������������������������������ァアィイゥウェエォオカガキギクグケゲコゴサザシジスズセゼソゾタダチヂッツヅテデトドナニヌネノハバパヒビピフブプヘベペホボポマミムメモャヤュユョヨラリルレロヮワヰヱヲンヴヵヶ���������\".split(\"\");\nfor(j = 0; j != D[165].length; ++j) if(D[165][j].charCodeAt(0) !== 0xFFFD) { e[D[165][j]] = 42240 + j; d[42240 + j] = D[165][j];}\nD[166] = \"�����������������������������������������������������������������������������������������������������������������������������������������������������������������ΑΒΓΔΕΖΗΘΙΚΛΜΝΞΟΠΡΣΤΥΦΧΨΩ��������αβγδεζηθικλμνξοπρστυφχψω�������︵︶︹︺︿﹀︽︾﹁﹂﹃﹄��︻︼︷︸︱�︳︴����������\".split(\"\");\nfor(j = 0; j != D[166].length; ++j) if(D[166][j].charCodeAt(0) !== 0xFFFD) { e[D[166][j]] = 42496 + j; d[42496 + j] = D[166][j];}\nD[167] = \"�����������������������������������������������������������������������������������������������������������������������������������������������������������������АБВГДЕЁЖЗИЙКЛМНОПРСТУФХЦЧШЩЪЫЬЭЮЯ���������������абвгдеёжзийклмнопрстуфхцчшщъыьэюя��������������\".split(\"\");\nfor(j = 0; j != D[167].length; ++j) if(D[167][j].charCodeAt(0) !== 0xFFFD) { e[D[167][j]] = 42752 + j; d[42752 + j] = D[167][j];}\nD[168] = \"����������������������������������������������������������������ˊˋ˙–―‥‵℅℉↖↗↘↙∕∟∣≒≦≧⊿═║╒╓╔╕╖╗╘╙╚╛╜╝╞╟╠╡╢╣╤╥╦╧╨╩╪╫╬╭╮╯╰╱╲╳▁▂▃▄▅▆▇�█▉▊▋▌▍▎▏▓▔▕▼▽◢◣◤◥☉⊕〒〝〞�����������āáǎàēéěèīíǐìōóǒòūúǔùǖǘǚǜüêɑ�ńň�ɡ����ㄅㄆㄇㄈㄉㄊㄋㄌㄍㄎㄏㄐㄑㄒㄓㄔㄕㄖㄗㄘㄙㄚㄛㄜㄝㄞㄟㄠㄡㄢㄣㄤㄥㄦㄧㄨㄩ����������������������\".split(\"\");\nfor(j = 0; j != D[168].length; ++j) if(D[168][j].charCodeAt(0) !== 0xFFFD) { e[D[168][j]] = 43008 + j; d[43008 + j] = D[168][j];}\nD[169] = \"����������������������������������������������������������������〡〢〣〤〥〦〧〨〩㊣㎎㎏㎜㎝㎞㎡㏄㏎㏑㏒㏕︰￢￤�℡㈱�‐���ー゛゜ヽヾ〆ゝゞ﹉﹊﹋﹌﹍﹎﹏﹐﹑﹒﹔﹕﹖﹗﹙﹚﹛﹜﹝﹞﹟﹠﹡�﹢﹣﹤﹥﹦﹨﹩﹪﹫�������������〇�������������─━│┃┄┅┆┇┈┉┊┋┌┍┎┏┐┑┒┓└┕┖┗┘┙┚┛├┝┞┟┠┡┢┣┤┥┦┧┨┩┪┫┬┭┮┯┰┱┲┳┴┵┶┷┸┹┺┻┼┽┾┿╀╁╂╃╄╅╆╇╈╉╊╋����������������\".split(\"\");\nfor(j = 0; j != D[169].length; ++j) if(D[169][j].charCodeAt(0) !== 0xFFFD) { e[D[169][j]] = 43264 + j; d[43264 + j] = D[169][j];}\nD[170] = \"����������������������������������������������������������������狜狝狟狢狣狤狥狦狧狪狫狵狶狹狽狾狿猀猂猄猅猆猇猈猉猋猌猍猏猐猑猒猔猘猙猚猟猠猣猤猦猧猨猭猯猰猲猳猵猶猺猻猼猽獀獁獂獃獄獅獆獇獈�獉獊獋獌獎獏獑獓獔獕獖獘獙獚獛獜獝獞獟獡獢獣獤獥獦獧獨獩獪獫獮獰獱�����������������������������������������������������������������������������������������������\".split(\"\");\nfor(j = 0; j != D[170].length; ++j) if(D[170][j].charCodeAt(0) !== 0xFFFD) { e[D[170][j]] = 43520 + j; d[43520 + j] = D[170][j];}\nD[171] = \"����������������������������������������������������������������獲獳獴獵獶獷獸獹獺獻獼獽獿玀玁玂玃玅玆玈玊玌玍玏玐玒玓玔玕玗玘玙玚玜玝玞玠玡玣玤玥玦玧玨玪玬玭玱玴玵玶玸玹玼玽玾玿珁珃珄珅珆珇�珋珌珎珒珓珔珕珖珗珘珚珛珜珝珟珡珢珣珤珦珨珪珫珬珮珯珰珱珳珴珵珶珷�����������������������������������������������������������������������������������������������\".split(\"\");\nfor(j = 0; j != D[171].length; ++j) if(D[171][j].charCodeAt(0) !== 0xFFFD) { e[D[171][j]] = 43776 + j; d[43776 + j] = D[171][j];}\nD[172] = \"����������������������������������������������������������������珸珹珺珻珼珽現珿琀琁琂琄琇琈琋琌琍琎琑琒琓琔琕琖琗琘琙琜琝琞琟琠琡琣琤琧琩琫琭琯琱琲琷琸琹琺琻琽琾琿瑀瑂瑃瑄瑅瑆瑇瑈瑉瑊瑋瑌瑍�瑎瑏瑐瑑瑒瑓瑔瑖瑘瑝瑠瑡瑢瑣瑤瑥瑦瑧瑨瑩瑪瑫瑬瑮瑯瑱瑲瑳瑴瑵瑸瑹瑺�����������������������������������������������������������������������������������������������\".split(\"\");\nfor(j = 0; j != D[172].length; ++j) if(D[172][j].charCodeAt(0) !== 0xFFFD) { e[D[172][j]] = 44032 + j; d[44032 + j] = D[172][j];}\nD[173] = \"����������������������������������������������������������������瑻瑼瑽瑿璂璄璅璆璈璉璊璌璍璏璑璒璓璔璕璖璗璘璙璚璛璝璟璠璡璢璣璤璥璦璪璫璬璭璮璯環璱璲璳璴璵璶璷璸璹璻璼璽璾璿瓀瓁瓂瓃瓄瓅瓆瓇�瓈瓉瓊瓋瓌瓍瓎瓏瓐瓑瓓瓔瓕瓖瓗瓘瓙瓚瓛瓝瓟瓡瓥瓧瓨瓩瓪瓫瓬瓭瓰瓱瓲�����������������������������������������������������������������������������������������������\".split(\"\");\nfor(j = 0; j != D[173].length; ++j) if(D[173][j].charCodeAt(0) !== 0xFFFD) { e[D[173][j]] = 44288 + j; d[44288 + j] = D[173][j];}\nD[174] = \"����������������������������������������������������������������瓳瓵瓸瓹瓺瓻瓼瓽瓾甀甁甂甃甅甆甇甈甉甊甋甌甎甐甒甔甕甖甗甛甝甞甠甡產産甤甦甧甪甮甴甶甹甼甽甿畁畂畃畄畆畇畉畊畍畐畑畒畓畕畖畗畘�畝畞畟畠畡畢畣畤畧畨畩畫畬畭畮畯異畱畳畵當畷畺畻畼畽畾疀疁疂疄疅疇�����������������������������������������������������������������������������������������������\".split(\"\");\nfor(j = 0; j != D[174].length; ++j) if(D[174][j].charCodeAt(0) !== 0xFFFD) { e[D[174][j]] = 44544 + j; d[44544 + j] = D[174][j];}\nD[175] = \"����������������������������������������������������������������疈疉疊疌疍疎疐疓疕疘疛疜疞疢疦疧疨疩疪疭疶疷疺疻疿痀痁痆痋痌痎痏痐痑痓痗痙痚痜痝痟痠痡痥痩痬痭痮痯痲痳痵痶痷痸痺痻痽痾瘂瘄瘆瘇�瘈瘉瘋瘍瘎瘏瘑瘒瘓瘔瘖瘚瘜瘝瘞瘡瘣瘧瘨瘬瘮瘯瘱瘲瘶瘷瘹瘺瘻瘽癁療癄�����������������������������������������������������������������������������������������������\".split(\"\");\nfor(j = 0; j != D[175].length; ++j) if(D[175][j].charCodeAt(0) !== 0xFFFD) { e[D[175][j]] = 44800 + j; d[44800 + j] = D[175][j];}\nD[176] = \"����������������������������������������������������������������癅癆癇癈癉癊癋癎癏癐癑癒癓癕癗癘癙癚癛癝癟癠癡癢癤癥癦癧癨癩癪癬癭癮癰癱癲癳癴癵癶癷癹発發癿皀皁皃皅皉皊皌皍皏皐皒皔皕皗皘皚皛�皜皝皞皟皠皡皢皣皥皦皧皨皩皪皫皬皭皯皰皳皵皶皷皸皹皺皻皼皽皾盀盁盃啊阿埃挨哎唉哀皑癌蔼矮艾碍爱隘鞍氨安俺按暗岸胺案肮昂盎凹敖熬翱袄傲奥懊澳芭捌扒叭吧笆八疤巴拔跋靶把耙坝霸罢爸白柏百摆佰败拜稗斑班搬扳般颁板版扮拌伴瓣半办绊邦帮梆榜膀绑棒磅蚌镑傍谤苞胞包褒剥�\".split(\"\");\nfor(j = 0; j != D[176].length; ++j) if(D[176][j].charCodeAt(0) !== 0xFFFD) { e[D[176][j]] = 45056 + j; d[45056 + j] = D[176][j];}\nD[177] = \"����������������������������������������������������������������盄盇盉盋盌盓盕盙盚盜盝盞盠盡盢監盤盦盧盨盩盪盫盬盭盰盳盵盶盷盺盻盽盿眀眂眃眅眆眊県眎眏眐眑眒眓眔眕眖眗眘眛眜眝眞眡眣眤眥眧眪眫�眬眮眰眱眲眳眴眹眻眽眾眿睂睄睅睆睈睉睊睋睌睍睎睏睒睓睔睕睖睗睘睙睜薄雹保堡饱宝抱报暴豹鲍爆杯碑悲卑北辈背贝钡倍狈备惫焙被奔苯本笨崩绷甭泵蹦迸逼鼻比鄙笔彼碧蓖蔽毕毙毖币庇痹闭敝弊必辟壁臂避陛鞭边编贬扁便变卞辨辩辫遍标彪膘表鳖憋别瘪彬斌濒滨宾摈兵冰柄丙秉饼炳�\".split(\"\");\nfor(j = 0; j != D[177].length; ++j) if(D[177][j].charCodeAt(0) !== 0xFFFD) { e[D[177][j]] = 45312 + j; d[45312 + j] = D[177][j];}\nD[178] = \"����������������������������������������������������������������睝睞睟睠睤睧睩睪睭睮睯睰睱睲睳睴睵睶睷睸睺睻睼瞁瞂瞃瞆瞇瞈瞉瞊瞋瞏瞐瞓瞔瞕瞖瞗瞘瞙瞚瞛瞜瞝瞞瞡瞣瞤瞦瞨瞫瞭瞮瞯瞱瞲瞴瞶瞷瞸瞹瞺�瞼瞾矀矁矂矃矄矅矆矇矈矉矊矋矌矎矏矐矑矒矓矔矕矖矘矙矚矝矞矟矠矡矤病并玻菠播拨钵波博勃搏铂箔伯帛舶脖膊渤泊驳捕卜哺补埠不布步簿部怖擦猜裁材才财睬踩采彩菜蔡餐参蚕残惭惨灿苍舱仓沧藏操糙槽曹草厕策侧册测层蹭插叉茬茶查碴搽察岔差诧拆柴豺搀掺蝉馋谗缠铲产阐颤昌猖�\".split(\"\");\nfor(j = 0; j != D[178].length; ++j) if(D[178][j].charCodeAt(0) !== 0xFFFD) { e[D[178][j]] = 45568 + j; d[45568 + j] = D[178][j];}\nD[179] = \"����������������������������������������������������������������矦矨矪矯矰矱矲矴矵矷矹矺矻矼砃砄砅砆砇砈砊砋砎砏砐砓砕砙砛砞砠砡砢砤砨砪砫砮砯砱砲砳砵砶砽砿硁硂硃硄硆硈硉硊硋硍硏硑硓硔硘硙硚�硛硜硞硟硠硡硢硣硤硥硦硧硨硩硯硰硱硲硳硴硵硶硸硹硺硻硽硾硿碀碁碂碃场尝常长偿肠厂敞畅唱倡超抄钞朝嘲潮巢吵炒车扯撤掣彻澈郴臣辰尘晨忱沉陈趁衬撑称城橙成呈乘程惩澄诚承逞骋秤吃痴持匙池迟弛驰耻齿侈尺赤翅斥炽充冲虫崇宠抽酬畴踌稠愁筹仇绸瞅丑臭初出橱厨躇锄雏滁除楚�\".split(\"\");\nfor(j = 0; j != D[179].length; ++j) if(D[179][j].charCodeAt(0) !== 0xFFFD) { e[D[179][j]] = 45824 + j; d[45824 + j] = D[179][j];}\nD[180] = \"����������������������������������������������������������������碄碅碆碈碊碋碏碐碒碔碕碖碙碝碞碠碢碤碦碨碩碪碫碬碭碮碯碵碶碷碸確碻碼碽碿磀磂磃磄磆磇磈磌磍磎磏磑磒磓磖磗磘磚磛磜磝磞磟磠磡磢磣�磤磥磦磧磩磪磫磭磮磯磰磱磳磵磶磸磹磻磼磽磾磿礀礂礃礄礆礇礈礉礊礋礌础储矗搐触处揣川穿椽传船喘串疮窗幢床闯创吹炊捶锤垂春椿醇唇淳纯蠢戳绰疵茨磁雌辞慈瓷词此刺赐次聪葱囱匆从丛凑粗醋簇促蹿篡窜摧崔催脆瘁粹淬翠村存寸磋撮搓措挫错搭达答瘩打大呆歹傣戴带殆代贷袋待逮�\".split(\"\");\nfor(j = 0; j != D[180].length; ++j) if(D[180][j].charCodeAt(0) !== 0xFFFD) { e[D[180][j]] = 46080 + j; d[46080 + j] = D[180][j];}\nD[181] = \"����������������������������������������������������������������礍礎礏礐礑礒礔礕礖礗礘礙礚礛礜礝礟礠礡礢礣礥礦礧礨礩礪礫礬礭礮礯礰礱礲礳礵礶礷礸礹礽礿祂祃祄祅祇祊祋祌祍祎祏祐祑祒祔祕祘祙祡祣�祤祦祩祪祫祬祮祰祱祲祳祴祵祶祹祻祼祽祾祿禂禃禆禇禈禉禋禌禍禎禐禑禒怠耽担丹单郸掸胆旦氮但惮淡诞弹蛋当挡党荡档刀捣蹈倒岛祷导到稻悼道盗德得的蹬灯登等瞪凳邓堤低滴迪敌笛狄涤翟嫡抵底地蒂第帝弟递缔颠掂滇碘点典靛垫电佃甸店惦奠淀殿碉叼雕凋刁掉吊钓调跌爹碟蝶迭谍叠�\".split(\"\");\nfor(j = 0; j != D[181].length; ++j) if(D[181][j].charCodeAt(0) !== 0xFFFD) { e[D[181][j]] = 46336 + j; d[46336 + j] = D[181][j];}\nD[182] = \"����������������������������������������������������������������禓禔禕禖禗禘禙禛禜禝禞禟禠禡禢禣禤禥禦禨禩禪禫禬禭禮禯禰禱禲禴禵禶禷禸禼禿秂秄秅秇秈秊秌秎秏秐秓秔秖秗秙秚秛秜秝秞秠秡秢秥秨秪�秬秮秱秲秳秴秵秶秷秹秺秼秾秿稁稄稅稇稈稉稊稌稏稐稑稒稓稕稖稘稙稛稜丁盯叮钉顶鼎锭定订丢东冬董懂动栋侗恫冻洞兜抖斗陡豆逗痘都督毒犊独读堵睹赌杜镀肚度渡妒端短锻段断缎堆兑队对墩吨蹲敦顿囤钝盾遁掇哆多夺垛躲朵跺舵剁惰堕蛾峨鹅俄额讹娥恶厄扼遏鄂饿恩而儿耳尔饵洱二�\".split(\"\");\nfor(j = 0; j != D[182].length; ++j) if(D[182][j].charCodeAt(0) !== 0xFFFD) { e[D[182][j]] = 46592 + j; d[46592 + j] = D[182][j];}\nD[183] = \"����������������������������������������������������������������稝稟稡稢稤稥稦稧稨稩稪稫稬稭種稯稰稱稲稴稵稶稸稺稾穀穁穂穃穄穅穇穈穉穊穋穌積穎穏穐穒穓穔穕穖穘穙穚穛穜穝穞穟穠穡穢穣穤穥穦穧穨�穩穪穫穬穭穮穯穱穲穳穵穻穼穽穾窂窅窇窉窊窋窌窎窏窐窓窔窙窚窛窞窡窢贰发罚筏伐乏阀法珐藩帆番翻樊矾钒繁凡烦反返范贩犯饭泛坊芳方肪房防妨仿访纺放菲非啡飞肥匪诽吠肺废沸费芬酚吩氛分纷坟焚汾粉奋份忿愤粪丰封枫蜂峰锋风疯烽逢冯缝讽奉凤佛否夫敷肤孵扶拂辐幅氟符伏俘服�\".split(\"\");\nfor(j = 0; j != D[183].length; ++j) if(D[183][j].charCodeAt(0) !== 0xFFFD) { e[D[183][j]] = 46848 + j; d[46848 + j] = D[183][j];}\nD[184] = \"����������������������������������������������������������������窣窤窧窩窪窫窮窯窰窱窲窴窵窶窷窸窹窺窻窼窽窾竀竁竂竃竄竅竆竇竈竉竊竌竍竎竏竐竑竒竓竔竕竗竘竚竛竜竝竡竢竤竧竨竩竪竫竬竮竰竱竲竳�竴竵競竷竸竻竼竾笀笁笂笅笇笉笌笍笎笐笒笓笖笗笘笚笜笝笟笡笢笣笧笩笭浮涪福袱弗甫抚辅俯釜斧脯腑府腐赴副覆赋复傅付阜父腹负富讣附妇缚咐噶嘎该改概钙盖溉干甘杆柑竿肝赶感秆敢赣冈刚钢缸肛纲岗港杠篙皋高膏羔糕搞镐稿告哥歌搁戈鸽胳疙割革葛格蛤阁隔铬个各给根跟耕更庚羹�\".split(\"\");\nfor(j = 0; j != D[184].length; ++j) if(D[184][j].charCodeAt(0) !== 0xFFFD) { e[D[184][j]] = 47104 + j; d[47104 + j] = D[184][j];}\nD[185] = \"����������������������������������������������������������������笯笰笲笴笵笶笷笹笻笽笿筀筁筂筃筄筆筈筊筍筎筓筕筗筙筜筞筟筡筣筤筥筦筧筨筩筪筫筬筭筯筰筳筴筶筸筺筼筽筿箁箂箃箄箆箇箈箉箊箋箌箎箏�箑箒箓箖箘箙箚箛箞箟箠箣箤箥箮箯箰箲箳箵箶箷箹箺箻箼箽箾箿節篂篃範埂耿梗工攻功恭龚供躬公宫弓巩汞拱贡共钩勾沟苟狗垢构购够辜菇咕箍估沽孤姑鼓古蛊骨谷股故顾固雇刮瓜剐寡挂褂乖拐怪棺关官冠观管馆罐惯灌贯光广逛瑰规圭硅归龟闺轨鬼诡癸桂柜跪贵刽辊滚棍锅郭国果裹过哈�\".split(\"\");\nfor(j = 0; j != D[185].length; ++j) if(D[185][j].charCodeAt(0) !== 0xFFFD) { e[D[185][j]] = 47360 + j; d[47360 + j] = D[185][j];}\nD[186] = \"����������������������������������������������������������������篅篈築篊篋篍篎篏篐篒篔篕篖篗篘篛篜篞篟篠篢篣篤篧篨篩篫篬篭篯篰篲篳篴篵篶篸篹篺篻篽篿簀簁簂簃簄簅簆簈簉簊簍簎簐簑簒簓簔簕簗簘簙�簚簛簜簝簞簠簡簢簣簤簥簨簩簫簬簭簮簯簰簱簲簳簴簵簶簷簹簺簻簼簽簾籂骸孩海氦亥害骇酣憨邯韩含涵寒函喊罕翰撼捍旱憾悍焊汗汉夯杭航壕嚎豪毫郝好耗号浩呵喝荷菏核禾和何合盒貉阂河涸赫褐鹤贺嘿黑痕很狠恨哼亨横衡恒轰哄烘虹鸿洪宏弘红喉侯猴吼厚候后呼乎忽瑚壶葫胡蝴狐糊湖�\".split(\"\");\nfor(j = 0; j != D[186].length; ++j) if(D[186][j].charCodeAt(0) !== 0xFFFD) { e[D[186][j]] = 47616 + j; d[47616 + j] = D[186][j];}\nD[187] = \"����������������������������������������������������������������籃籄籅籆籇籈籉籊籋籌籎籏籐籑籒籓籔籕籖籗籘籙籚籛籜籝籞籟籠籡籢籣籤籥籦籧籨籩籪籫籬籭籮籯籰籱籲籵籶籷籸籹籺籾籿粀粁粂粃粄粅粆粇�粈粊粋粌粍粎粏粐粓粔粖粙粚粛粠粡粣粦粧粨粩粫粬粭粯粰粴粵粶粷粸粺粻弧虎唬护互沪户花哗华猾滑画划化话槐徊怀淮坏欢环桓还缓换患唤痪豢焕涣宦幻荒慌黄磺蝗簧皇凰惶煌晃幌恍谎灰挥辉徽恢蛔回毁悔慧卉惠晦贿秽会烩汇讳诲绘荤昏婚魂浑混豁活伙火获或惑霍货祸击圾基机畸稽积箕�\".split(\"\");\nfor(j = 0; j != D[187].length; ++j) if(D[187][j].charCodeAt(0) !== 0xFFFD) { e[D[187][j]] = 47872 + j; d[47872 + j] = D[187][j];}\nD[188] = \"����������������������������������������������������������������粿糀糂糃糄糆糉糋糎糏糐糑糒糓糔糘糚糛糝糞糡糢糣糤糥糦糧糩糪糫糬糭糮糰糱糲糳糴糵糶糷糹糺糼糽糾糿紀紁紂紃約紅紆紇紈紉紋紌納紎紏紐�紑紒紓純紕紖紗紘紙級紛紜紝紞紟紡紣紤紥紦紨紩紪紬紭紮細紱紲紳紴紵紶肌饥迹激讥鸡姬绩缉吉极棘辑籍集及急疾汲即嫉级挤几脊己蓟技冀季伎祭剂悸济寄寂计记既忌际妓继纪嘉枷夹佳家加荚颊贾甲钾假稼价架驾嫁歼监坚尖笺间煎兼肩艰奸缄茧检柬碱硷拣捡简俭剪减荐槛鉴践贱见键箭件�\".split(\"\");\nfor(j = 0; j != D[188].length; ++j) if(D[188][j].charCodeAt(0) !== 0xFFFD) { e[D[188][j]] = 48128 + j; d[48128 + j] = D[188][j];}\nD[189] = \"����������������������������������������������������������������紷紸紹紺紻紼紽紾紿絀絁終絃組絅絆絇絈絉絊絋経絍絎絏結絑絒絓絔絕絖絗絘絙絚絛絜絝絞絟絠絡絢絣絤絥給絧絨絩絪絫絬絭絯絰統絲絳絴絵絶�絸絹絺絻絼絽絾絿綀綁綂綃綄綅綆綇綈綉綊綋綌綍綎綏綐綑綒經綔綕綖綗綘健舰剑饯渐溅涧建僵姜将浆江疆蒋桨奖讲匠酱降蕉椒礁焦胶交郊浇骄娇嚼搅铰矫侥脚狡角饺缴绞剿教酵轿较叫窖揭接皆秸街阶截劫节桔杰捷睫竭洁结解姐戒藉芥界借介疥诫届巾筋斤金今津襟紧锦仅谨进靳晋禁近烬浸�\".split(\"\");\nfor(j = 0; j != D[189].length; ++j) if(D[189][j].charCodeAt(0) !== 0xFFFD) { e[D[189][j]] = 48384 + j; d[48384 + j] = D[189][j];}\nD[190] = \"����������������������������������������������������������������継続綛綜綝綞綟綠綡綢綣綤綥綧綨綩綪綫綬維綯綰綱網綳綴綵綶綷綸綹綺綻綼綽綾綿緀緁緂緃緄緅緆緇緈緉緊緋緌緍緎総緐緑緒緓緔緕緖緗緘緙�線緛緜緝緞緟締緡緢緣緤緥緦緧編緩緪緫緬緭緮緯緰緱緲緳練緵緶緷緸緹緺尽劲荆兢茎睛晶鲸京惊精粳经井警景颈静境敬镜径痉靖竟竞净炯窘揪究纠玖韭久灸九酒厩救旧臼舅咎就疚鞠拘狙疽居驹菊局咀矩举沮聚拒据巨具距踞锯俱句惧炬剧捐鹃娟倦眷卷绢撅攫抉掘倔爵觉决诀绝均菌钧军君峻�\".split(\"\");\nfor(j = 0; j != D[190].length; ++j) if(D[190][j].charCodeAt(0) !== 0xFFFD) { e[D[190][j]] = 48640 + j; d[48640 + j] = D[190][j];}\nD[191] = \"����������������������������������������������������������������緻緼緽緾緿縀縁縂縃縄縅縆縇縈縉縊縋縌縍縎縏縐縑縒縓縔縕縖縗縘縙縚縛縜縝縞縟縠縡縢縣縤縥縦縧縨縩縪縫縬縭縮縯縰縱縲縳縴縵縶縷縸縹�縺縼總績縿繀繂繃繄繅繆繈繉繊繋繌繍繎繏繐繑繒繓織繕繖繗繘繙繚繛繜繝俊竣浚郡骏喀咖卡咯开揩楷凯慨刊堪勘坎砍看康慷糠扛抗亢炕考拷烤靠坷苛柯棵磕颗科壳咳可渴克刻客课肯啃垦恳坑吭空恐孔控抠口扣寇枯哭窟苦酷库裤夸垮挎跨胯块筷侩快宽款匡筐狂框矿眶旷况亏盔岿窥葵奎魁傀�\".split(\"\");\nfor(j = 0; j != D[191].length; ++j) if(D[191][j].charCodeAt(0) !== 0xFFFD) { e[D[191][j]] = 48896 + j; d[48896 + j] = D[191][j];}\nD[192] = \"����������������������������������������������������������������繞繟繠繡繢繣繤繥繦繧繨繩繪繫繬繭繮繯繰繱繲繳繴繵繶繷繸繹繺繻繼繽繾繿纀纁纃纄纅纆纇纈纉纊纋續纍纎纏纐纑纒纓纔纕纖纗纘纙纚纜纝纞�纮纴纻纼绖绤绬绹缊缐缞缷缹缻缼缽缾缿罀罁罃罆罇罈罉罊罋罌罍罎罏罒罓馈愧溃坤昆捆困括扩廓阔垃拉喇蜡腊辣啦莱来赖蓝婪栏拦篮阑兰澜谰揽览懒缆烂滥琅榔狼廊郎朗浪捞劳牢老佬姥酪烙涝勒乐雷镭蕾磊累儡垒擂肋类泪棱楞冷厘梨犁黎篱狸离漓理李里鲤礼莉荔吏栗丽厉励砾历利傈例俐�\".split(\"\");\nfor(j = 0; j != D[192].length; ++j) if(D[192][j].charCodeAt(0) !== 0xFFFD) { e[D[192][j]] = 49152 + j; d[49152 + j] = D[192][j];}\nD[193] = \"����������������������������������������������������������������罖罙罛罜罝罞罠罣罤罥罦罧罫罬罭罯罰罳罵罶罷罸罺罻罼罽罿羀羂羃羄羅羆羇羈羉羋羍羏羐羑羒羓羕羖羗羘羙羛羜羠羢羣羥羦羨義羪羫羬羭羮羱�羳羴羵羶羷羺羻羾翀翂翃翄翆翇翈翉翋翍翏翐翑習翓翖翗翙翚翛翜翝翞翢翣痢立粒沥隶力璃哩俩联莲连镰廉怜涟帘敛脸链恋炼练粮凉梁粱良两辆量晾亮谅撩聊僚疗燎寥辽潦了撂镣廖料列裂烈劣猎琳林磷霖临邻鳞淋凛赁吝拎玲菱零龄铃伶羚凌灵陵岭领另令溜琉榴硫馏留刘瘤流柳六龙聋咙笼窿�\".split(\"\");\nfor(j = 0; j != D[193].length; ++j) if(D[193][j].charCodeAt(0) !== 0xFFFD) { e[D[193][j]] = 49408 + j; d[49408 + j] = D[193][j];}\nD[194] = \"����������������������������������������������������������������翤翧翨翪翫翬翭翯翲翴翵翶翷翸翹翺翽翾翿耂耇耈耉耊耎耏耑耓耚耛耝耞耟耡耣耤耫耬耭耮耯耰耲耴耹耺耼耾聀聁聄聅聇聈聉聎聏聐聑聓聕聖聗�聙聛聜聝聞聟聠聡聢聣聤聥聦聧聨聫聬聭聮聯聰聲聳聴聵聶職聸聹聺聻聼聽隆垄拢陇楼娄搂篓漏陋芦卢颅庐炉掳卤虏鲁麓碌露路赂鹿潞禄录陆戮驴吕铝侣旅履屡缕虑氯律率滤绿峦挛孪滦卵乱掠略抡轮伦仑沦纶论萝螺罗逻锣箩骡裸落洛骆络妈麻玛码蚂马骂嘛吗埋买麦卖迈脉瞒馒蛮满蔓曼慢漫�\".split(\"\");\nfor(j = 0; j != D[194].length; ++j) if(D[194][j].charCodeAt(0) !== 0xFFFD) { e[D[194][j]] = 49664 + j; d[49664 + j] = D[194][j];}\nD[195] = \"����������������������������������������������������������������聾肁肂肅肈肊肍肎肏肐肑肒肔肕肗肙肞肣肦肧肨肬肰肳肵肶肸肹肻胅胇胈胉胊胋胏胐胑胒胓胔胕胘胟胠胢胣胦胮胵胷胹胻胾胿脀脁脃脄脅脇脈脋�脌脕脗脙脛脜脝脟脠脡脢脣脤脥脦脧脨脩脪脫脭脮脰脳脴脵脷脹脺脻脼脽脿谩芒茫盲氓忙莽猫茅锚毛矛铆卯茂冒帽貌贸么玫枚梅酶霉煤没眉媒镁每美昧寐妹媚门闷们萌蒙檬盟锰猛梦孟眯醚靡糜迷谜弥米秘觅泌蜜密幂棉眠绵冕免勉娩缅面苗描瞄藐秒渺庙妙蔑灭民抿皿敏悯闽明螟鸣铭名命谬摸�\".split(\"\");\nfor(j = 0; j != D[195].length; ++j) if(D[195][j].charCodeAt(0) !== 0xFFFD) { e[D[195][j]] = 49920 + j; d[49920 + j] = D[195][j];}\nD[196] = \"����������������������������������������������������������������腀腁腂腃腄腅腇腉腍腎腏腒腖腗腘腛腜腝腞腟腡腢腣腤腦腨腪腫腬腯腲腳腵腶腷腸膁膃膄膅膆膇膉膋膌膍膎膐膒膓膔膕膖膗膙膚膞膟膠膡膢膤膥�膧膩膫膬膭膮膯膰膱膲膴膵膶膷膸膹膼膽膾膿臄臅臇臈臉臋臍臎臏臐臑臒臓摹蘑模膜磨摩魔抹末莫墨默沫漠寞陌谋牟某拇牡亩姆母墓暮幕募慕木目睦牧穆拿哪呐钠那娜纳氖乃奶耐奈南男难囊挠脑恼闹淖呢馁内嫩能妮霓倪泥尼拟你匿腻逆溺蔫拈年碾撵捻念娘酿鸟尿捏聂孽啮镊镍涅您柠狞凝宁�\".split(\"\");\nfor(j = 0; j != D[196].length; ++j) if(D[196][j].charCodeAt(0) !== 0xFFFD) { e[D[196][j]] = 50176 + j; d[50176 + j] = D[196][j];}\nD[197] = \"����������������������������������������������������������������臔臕臖臗臘臙臚臛臜臝臞臟臠臡臢臤臥臦臨臩臫臮臯臰臱臲臵臶臷臸臹臺臽臿舃與興舉舊舋舎舏舑舓舕舖舗舘舙舚舝舠舤舥舦舧舩舮舲舺舼舽舿�艀艁艂艃艅艆艈艊艌艍艎艐艑艒艓艔艕艖艗艙艛艜艝艞艠艡艢艣艤艥艦艧艩拧泞牛扭钮纽脓浓农弄奴努怒女暖虐疟挪懦糯诺哦欧鸥殴藕呕偶沤啪趴爬帕怕琶拍排牌徘湃派攀潘盘磐盼畔判叛乓庞旁耪胖抛咆刨炮袍跑泡呸胚培裴赔陪配佩沛喷盆砰抨烹澎彭蓬棚硼篷膨朋鹏捧碰坯砒霹批披劈琵毗�\".split(\"\");\nfor(j = 0; j != D[197].length; ++j) if(D[197][j].charCodeAt(0) !== 0xFFFD) { e[D[197][j]] = 50432 + j; d[50432 + j] = D[197][j];}\nD[198] = \"����������������������������������������������������������������艪艫艬艭艱艵艶艷艸艻艼芀芁芃芅芆芇芉芌芐芓芔芕芖芚芛芞芠芢芣芧芲芵芶芺芻芼芿苀苂苃苅苆苉苐苖苙苚苝苢苧苨苩苪苬苭苮苰苲苳苵苶苸�苺苼苽苾苿茀茊茋茍茐茒茓茖茘茙茝茞茟茠茡茢茣茤茥茦茩茪茮茰茲茷茻茽啤脾疲皮匹痞僻屁譬篇偏片骗飘漂瓢票撇瞥拼频贫品聘乒坪苹萍平凭瓶评屏坡泼颇婆破魄迫粕剖扑铺仆莆葡菩蒲埔朴圃普浦谱曝瀑期欺栖戚妻七凄漆柒沏其棋奇歧畦崎脐齐旗祈祁骑起岂乞企启契砌器气迄弃汽泣讫掐�\".split(\"\");\nfor(j = 0; j != D[198].length; ++j) if(D[198][j].charCodeAt(0) !== 0xFFFD) { e[D[198][j]] = 50688 + j; d[50688 + j] = D[198][j];}\nD[199] = \"����������������������������������������������������������������茾茿荁荂荄荅荈荊荋荌荍荎荓荕荖荗荘荙荝荢荰荱荲荳荴荵荶荹荺荾荿莀莁莂莃莄莇莈莊莋莌莍莏莐莑莔莕莖莗莙莚莝莟莡莢莣莤莥莦莧莬莭莮�莯莵莻莾莿菂菃菄菆菈菉菋菍菎菐菑菒菓菕菗菙菚菛菞菢菣菤菦菧菨菫菬菭恰洽牵扦钎铅千迁签仟谦乾黔钱钳前潜遣浅谴堑嵌欠歉枪呛腔羌墙蔷强抢橇锹敲悄桥瞧乔侨巧鞘撬翘峭俏窍切茄且怯窃钦侵亲秦琴勤芹擒禽寝沁青轻氢倾卿清擎晴氰情顷请庆琼穷秋丘邱球求囚酋泅趋区蛆曲躯屈驱渠�\".split(\"\");\nfor(j = 0; j != D[199].length; ++j) if(D[199][j].charCodeAt(0) !== 0xFFFD) { e[D[199][j]] = 50944 + j; d[50944 + j] = D[199][j];}\nD[200] = \"����������������������������������������������������������������菮華菳菴菵菶菷菺菻菼菾菿萀萂萅萇萈萉萊萐萒萓萔萕萖萗萙萚萛萞萟萠萡萢萣萩萪萫萬萭萮萯萰萲萳萴萵萶萷萹萺萻萾萿葀葁葂葃葄葅葇葈葉�葊葋葌葍葎葏葐葒葓葔葕葖葘葝葞葟葠葢葤葥葦葧葨葪葮葯葰葲葴葷葹葻葼取娶龋趣去圈颧权醛泉全痊拳犬券劝缺炔瘸却鹊榷确雀裙群然燃冉染瓤壤攘嚷让饶扰绕惹热壬仁人忍韧任认刃妊纫扔仍日戎茸蓉荣融熔溶容绒冗揉柔肉茹蠕儒孺如辱乳汝入褥软阮蕊瑞锐闰润若弱撒洒萨腮鳃塞赛三叁�\".split(\"\");\nfor(j = 0; j != D[200].length; ++j) if(D[200][j].charCodeAt(0) !== 0xFFFD) { e[D[200][j]] = 51200 + j; d[51200 + j] = D[200][j];}\nD[201] = \"����������������������������������������������������������������葽葾葿蒀蒁蒃蒄蒅蒆蒊蒍蒏蒐蒑蒒蒓蒔蒕蒖蒘蒚蒛蒝蒞蒟蒠蒢蒣蒤蒥蒦蒧蒨蒩蒪蒫蒬蒭蒮蒰蒱蒳蒵蒶蒷蒻蒼蒾蓀蓂蓃蓅蓆蓇蓈蓋蓌蓎蓏蓒蓔蓕蓗�蓘蓙蓚蓛蓜蓞蓡蓢蓤蓧蓨蓩蓪蓫蓭蓮蓯蓱蓲蓳蓴蓵蓶蓷蓸蓹蓺蓻蓽蓾蔀蔁蔂伞散桑嗓丧搔骚扫嫂瑟色涩森僧莎砂杀刹沙纱傻啥煞筛晒珊苫杉山删煽衫闪陕擅赡膳善汕扇缮墒伤商赏晌上尚裳梢捎稍烧芍勺韶少哨邵绍奢赊蛇舌舍赦摄射慑涉社设砷申呻伸身深娠绅神沈审婶甚肾慎渗声生甥牲升绳�\".split(\"\");\nfor(j = 0; j != D[201].length; ++j) if(D[201][j].charCodeAt(0) !== 0xFFFD) { e[D[201][j]] = 51456 + j; d[51456 + j] = D[201][j];}\nD[202] = \"����������������������������������������������������������������蔃蔄蔅蔆蔇蔈蔉蔊蔋蔍蔎蔏蔐蔒蔔蔕蔖蔘蔙蔛蔜蔝蔞蔠蔢蔣蔤蔥蔦蔧蔨蔩蔪蔭蔮蔯蔰蔱蔲蔳蔴蔵蔶蔾蔿蕀蕁蕂蕄蕅蕆蕇蕋蕌蕍蕎蕏蕐蕑蕒蕓蕔蕕�蕗蕘蕚蕛蕜蕝蕟蕠蕡蕢蕣蕥蕦蕧蕩蕪蕫蕬蕭蕮蕯蕰蕱蕳蕵蕶蕷蕸蕼蕽蕿薀薁省盛剩胜圣师失狮施湿诗尸虱十石拾时什食蚀实识史矢使屎驶始式示士世柿事拭誓逝势是嗜噬适仕侍释饰氏市恃室视试收手首守寿授售受瘦兽蔬枢梳殊抒输叔舒淑疏书赎孰熟薯暑曙署蜀黍鼠属术述树束戍竖墅庶数漱�\".split(\"\");\nfor(j = 0; j != D[202].length; ++j) if(D[202][j].charCodeAt(0) !== 0xFFFD) { e[D[202][j]] = 51712 + j; d[51712 + j] = D[202][j];}\nD[203] = \"����������������������������������������������������������������薂薃薆薈薉薊薋薌薍薎薐薑薒薓薔薕薖薗薘薙薚薝薞薟薠薡薢薣薥薦薧薩薫薬薭薱薲薳薴薵薶薸薺薻薼薽薾薿藀藂藃藄藅藆藇藈藊藋藌藍藎藑藒�藔藖藗藘藙藚藛藝藞藟藠藡藢藣藥藦藧藨藪藫藬藭藮藯藰藱藲藳藴藵藶藷藸恕刷耍摔衰甩帅栓拴霜双爽谁水睡税吮瞬顺舜说硕朔烁斯撕嘶思私司丝死肆寺嗣四伺似饲巳松耸怂颂送宋讼诵搜艘擞嗽苏酥俗素速粟僳塑溯宿诉肃酸蒜算虽隋随绥髓碎岁穗遂隧祟孙损笋蓑梭唆缩琐索锁所塌他它她塔�\".split(\"\");\nfor(j = 0; j != D[203].length; ++j) if(D[203][j].charCodeAt(0) !== 0xFFFD) { e[D[203][j]] = 51968 + j; d[51968 + j] = D[203][j];}\nD[204] = \"����������������������������������������������������������������藹藺藼藽藾蘀蘁蘂蘃蘄蘆蘇蘈蘉蘊蘋蘌蘍蘎蘏蘐蘒蘓蘔蘕蘗蘘蘙蘚蘛蘜蘝蘞蘟蘠蘡蘢蘣蘤蘥蘦蘨蘪蘫蘬蘭蘮蘯蘰蘱蘲蘳蘴蘵蘶蘷蘹蘺蘻蘽蘾蘿虀�虁虂虃虄虅虆虇虈虉虊虋虌虒虓處虖虗虘虙虛虜虝號虠虡虣虤虥虦虧虨虩虪獭挞蹋踏胎苔抬台泰酞太态汰坍摊贪瘫滩坛檀痰潭谭谈坦毯袒碳探叹炭汤塘搪堂棠膛唐糖倘躺淌趟烫掏涛滔绦萄桃逃淘陶讨套特藤腾疼誊梯剔踢锑提题蹄啼体替嚏惕涕剃屉天添填田甜恬舔腆挑条迢眺跳贴铁帖厅听烃�\".split(\"\");\nfor(j = 0; j != D[204].length; ++j) if(D[204][j].charCodeAt(0) !== 0xFFFD) { e[D[204][j]] = 52224 + j; d[52224 + j] = D[204][j];}\nD[205] = \"����������������������������������������������������������������虭虯虰虲虳虴虵虶虷虸蚃蚄蚅蚆蚇蚈蚉蚎蚏蚐蚑蚒蚔蚖蚗蚘蚙蚚蚛蚞蚟蚠蚡蚢蚥蚦蚫蚭蚮蚲蚳蚷蚸蚹蚻蚼蚽蚾蚿蛁蛂蛃蛅蛈蛌蛍蛒蛓蛕蛖蛗蛚蛜�蛝蛠蛡蛢蛣蛥蛦蛧蛨蛪蛫蛬蛯蛵蛶蛷蛺蛻蛼蛽蛿蜁蜄蜅蜆蜋蜌蜎蜏蜐蜑蜔蜖汀廷停亭庭挺艇通桐酮瞳同铜彤童桶捅筒统痛偷投头透凸秃突图徒途涂屠土吐兔湍团推颓腿蜕褪退吞屯臀拖托脱鸵陀驮驼椭妥拓唾挖哇蛙洼娃瓦袜歪外豌弯湾玩顽丸烷完碗挽晚皖惋宛婉万腕汪王亡枉网往旺望忘妄威�\".split(\"\");\nfor(j = 0; j != D[205].length; ++j) if(D[205][j].charCodeAt(0) !== 0xFFFD) { e[D[205][j]] = 52480 + j; d[52480 + j] = D[205][j];}\nD[206] = \"����������������������������������������������������������������蜙蜛蜝蜟蜠蜤蜦蜧蜨蜪蜫蜬蜭蜯蜰蜲蜳蜵蜶蜸蜹蜺蜼蜽蝀蝁蝂蝃蝄蝅蝆蝊蝋蝍蝏蝐蝑蝒蝔蝕蝖蝘蝚蝛蝜蝝蝞蝟蝡蝢蝦蝧蝨蝩蝪蝫蝬蝭蝯蝱蝲蝳蝵�蝷蝸蝹蝺蝿螀螁螄螆螇螉螊螌螎螏螐螑螒螔螕螖螘螙螚螛螜螝螞螠螡螢螣螤巍微危韦违桅围唯惟为潍维苇萎委伟伪尾纬未蔚味畏胃喂魏位渭谓尉慰卫瘟温蚊文闻纹吻稳紊问嗡翁瓮挝蜗涡窝我斡卧握沃巫呜钨乌污诬屋无芜梧吾吴毋武五捂午舞伍侮坞戊雾晤物勿务悟误昔熙析西硒矽晰嘻吸锡牺�\".split(\"\");\nfor(j = 0; j != D[206].length; ++j) if(D[206][j].charCodeAt(0) !== 0xFFFD) { e[D[206][j]] = 52736 + j; d[52736 + j] = D[206][j];}\nD[207] = \"����������������������������������������������������������������螥螦螧螩螪螮螰螱螲螴螶螷螸螹螻螼螾螿蟁蟂蟃蟄蟅蟇蟈蟉蟌蟍蟎蟏蟐蟔蟕蟖蟗蟘蟙蟚蟜蟝蟞蟟蟡蟢蟣蟤蟦蟧蟨蟩蟫蟬蟭蟯蟰蟱蟲蟳蟴蟵蟶蟷蟸�蟺蟻蟼蟽蟿蠀蠁蠂蠄蠅蠆蠇蠈蠉蠋蠌蠍蠎蠏蠐蠑蠒蠔蠗蠘蠙蠚蠜蠝蠞蠟蠠蠣稀息希悉膝夕惜熄烯溪汐犀檄袭席习媳喜铣洗系隙戏细瞎虾匣霞辖暇峡侠狭下厦夏吓掀锨先仙鲜纤咸贤衔舷闲涎弦嫌显险现献县腺馅羡宪陷限线相厢镶香箱襄湘乡翔祥详想响享项巷橡像向象萧硝霄削哮嚣销消宵淆晓�\".split(\"\");\nfor(j = 0; j != D[207].length; ++j) if(D[207][j].charCodeAt(0) !== 0xFFFD) { e[D[207][j]] = 52992 + j; d[52992 + j] = D[207][j];}\nD[208] = \"����������������������������������������������������������������蠤蠥蠦蠧蠨蠩蠪蠫蠬蠭蠮蠯蠰蠱蠳蠴蠵蠶蠷蠸蠺蠻蠽蠾蠿衁衂衃衆衇衈衉衊衋衎衏衐衑衒術衕衖衘衚衛衜衝衞衟衠衦衧衪衭衯衱衳衴衵衶衸衹衺�衻衼袀袃袆袇袉袊袌袎袏袐袑袓袔袕袗袘袙袚袛袝袞袟袠袡袣袥袦袧袨袩袪小孝校肖啸笑效楔些歇蝎鞋协挟携邪斜胁谐写械卸蟹懈泄泻谢屑薪芯锌欣辛新忻心信衅星腥猩惺兴刑型形邢行醒幸杏性姓兄凶胸匈汹雄熊休修羞朽嗅锈秀袖绣墟戌需虚嘘须徐许蓄酗叙旭序畜恤絮婿绪续轩喧宣悬旋玄�\".split(\"\");\nfor(j = 0; j != D[208].length; ++j) if(D[208][j].charCodeAt(0) !== 0xFFFD) { e[D[208][j]] = 53248 + j; d[53248 + j] = D[208][j];}\nD[209] = \"����������������������������������������������������������������袬袮袯袰袲袳袴袵袶袸袹袺袻袽袾袿裀裃裄裇裈裊裋裌裍裏裐裑裓裖裗裚裛補裝裞裠裡裦裧裩裪裫裬裭裮裯裲裵裶裷裺裻製裿褀褁褃褄褅褆複褈�褉褋褌褍褎褏褑褔褕褖褗褘褜褝褞褟褠褢褣褤褦褧褨褩褬褭褮褯褱褲褳褵褷选癣眩绚靴薛学穴雪血勋熏循旬询寻驯巡殉汛训讯逊迅压押鸦鸭呀丫芽牙蚜崖衙涯雅哑亚讶焉咽阉烟淹盐严研蜒岩延言颜阎炎沿奄掩眼衍演艳堰燕厌砚雁唁彦焰宴谚验殃央鸯秧杨扬佯疡羊洋阳氧仰痒养样漾邀腰妖瑶�\".split(\"\");\nfor(j = 0; j != D[209].length; ++j) if(D[209][j].charCodeAt(0) !== 0xFFFD) { e[D[209][j]] = 53504 + j; d[53504 + j] = D[209][j];}\nD[210] = \"����������������������������������������������������������������褸褹褺褻褼褽褾褿襀襂襃襅襆襇襈襉襊襋襌襍襎襏襐襑襒襓襔襕襖襗襘襙襚襛襜襝襠襡襢襣襤襥襧襨襩襪襫襬襭襮襯襰襱襲襳襴襵襶襷襸襹襺襼�襽襾覀覂覄覅覇覈覉覊見覌覍覎規覐覑覒覓覔覕視覗覘覙覚覛覜覝覞覟覠覡摇尧遥窑谣姚咬舀药要耀椰噎耶爷野冶也页掖业叶曳腋夜液一壹医揖铱依伊衣颐夷遗移仪胰疑沂宜姨彝椅蚁倚已乙矣以艺抑易邑屹亿役臆逸肄疫亦裔意毅忆义益溢诣议谊译异翼翌绎茵荫因殷音阴姻吟银淫寅饮尹引隐�\".split(\"\");\nfor(j = 0; j != D[210].length; ++j) if(D[210][j].charCodeAt(0) !== 0xFFFD) { e[D[210][j]] = 53760 + j; d[53760 + j] = D[210][j];}\nD[211] = \"����������������������������������������������������������������覢覣覤覥覦覧覨覩親覫覬覭覮覯覰覱覲観覴覵覶覷覸覹覺覻覼覽覾覿觀觃觍觓觔觕觗觘觙觛觝觟觠觡觢觤觧觨觩觪觬觭觮觰觱觲觴觵觶觷觸觹觺�觻觼觽觾觿訁訂訃訄訅訆計訉訊訋訌訍討訏訐訑訒訓訔訕訖託記訙訚訛訜訝印英樱婴鹰应缨莹萤营荧蝇迎赢盈影颖硬映哟拥佣臃痈庸雍踊蛹咏泳涌永恿勇用幽优悠忧尤由邮铀犹油游酉有友右佑釉诱又幼迂淤于盂榆虞愚舆余俞逾鱼愉渝渔隅予娱雨与屿禹宇语羽玉域芋郁吁遇喻峪御愈欲狱育誉�\".split(\"\");\nfor(j = 0; j != D[211].length; ++j) if(D[211][j].charCodeAt(0) !== 0xFFFD) { e[D[211][j]] = 54016 + j; d[54016 + j] = D[211][j];}\nD[212] = \"����������������������������������������������������������������訞訟訠訡訢訣訤訥訦訧訨訩訪訫訬設訮訯訰許訲訳訴訵訶訷訸訹診註証訽訿詀詁詂詃詄詅詆詇詉詊詋詌詍詎詏詐詑詒詓詔評詖詗詘詙詚詛詜詝詞�詟詠詡詢詣詤詥試詧詨詩詪詫詬詭詮詯詰話該詳詴詵詶詷詸詺詻詼詽詾詿誀浴寓裕预豫驭鸳渊冤元垣袁原援辕园员圆猿源缘远苑愿怨院曰约越跃钥岳粤月悦阅耘云郧匀陨允运蕴酝晕韵孕匝砸杂栽哉灾宰载再在咱攒暂赞赃脏葬遭糟凿藻枣早澡蚤躁噪造皂灶燥责择则泽贼怎增憎曾赠扎喳渣札轧�\".split(\"\");\nfor(j = 0; j != D[212].length; ++j) if(D[212][j].charCodeAt(0) !== 0xFFFD) { e[D[212][j]] = 54272 + j; d[54272 + j] = D[212][j];}\nD[213] = \"����������������������������������������������������������������誁誂誃誄誅誆誇誈誋誌認誎誏誐誑誒誔誕誖誗誘誙誚誛誜誝語誟誠誡誢誣誤誥誦誧誨誩說誫説読誮誯誰誱課誳誴誵誶誷誸誹誺誻誼誽誾調諀諁諂�諃諄諅諆談諈諉諊請諌諍諎諏諐諑諒諓諔諕論諗諘諙諚諛諜諝諞諟諠諡諢諣铡闸眨栅榨咋乍炸诈摘斋宅窄债寨瞻毡詹粘沾盏斩辗崭展蘸栈占战站湛绽樟章彰漳张掌涨杖丈帐账仗胀瘴障招昭找沼赵照罩兆肇召遮折哲蛰辙者锗蔗这浙珍斟真甄砧臻贞针侦枕疹诊震振镇阵蒸挣睁征狰争怔整拯正政�\".split(\"\");\nfor(j = 0; j != D[213].length; ++j) if(D[213][j].charCodeAt(0) !== 0xFFFD) { e[D[213][j]] = 54528 + j; d[54528 + j] = D[213][j];}\nD[214] = \"����������������������������������������������������������������諤諥諦諧諨諩諪諫諬諭諮諯諰諱諲諳諴諵諶諷諸諹諺諻諼諽諾諿謀謁謂謃謄謅謆謈謉謊謋謌謍謎謏謐謑謒謓謔謕謖謗謘謙謚講謜謝謞謟謠謡謢謣�謤謥謧謨謩謪謫謬謭謮謯謰謱謲謳謴謵謶謷謸謹謺謻謼謽謾謿譀譁譂譃譄譅帧症郑证芝枝支吱蜘知肢脂汁之织职直植殖执值侄址指止趾只旨纸志挚掷至致置帜峙制智秩稚质炙痔滞治窒中盅忠钟衷终种肿重仲众舟周州洲诌粥轴肘帚咒皱宙昼骤珠株蛛朱猪诸诛逐竹烛煮拄瞩嘱主著柱助蛀贮铸筑�\".split(\"\");\nfor(j = 0; j != D[214].length; ++j) if(D[214][j].charCodeAt(0) !== 0xFFFD) { e[D[214][j]] = 54784 + j; d[54784 + j] = D[214][j];}\nD[215] = \"����������������������������������������������������������������譆譇譈證譊譋譌譍譎譏譐譑譒譓譔譕譖譗識譙譚譛譜譝譞譟譠譡譢譣譤譥譧譨譩譪譫譭譮譯議譱譲譳譴譵譶護譸譹譺譻譼譽譾譿讀讁讂讃讄讅讆�讇讈讉變讋讌讍讎讏讐讑讒讓讔讕讖讗讘讙讚讛讜讝讞讟讬讱讻诇诐诪谉谞住注祝驻抓爪拽专砖转撰赚篆桩庄装妆撞壮状椎锥追赘坠缀谆准捉拙卓桌琢茁酌啄着灼浊兹咨资姿滋淄孜紫仔籽滓子自渍字鬃棕踪宗综总纵邹走奏揍租足卒族祖诅阻组钻纂嘴醉最罪尊遵昨左佐柞做作坐座������\".split(\"\");\nfor(j = 0; j != D[215].length; ++j) if(D[215][j].charCodeAt(0) !== 0xFFFD) { e[D[215][j]] = 55040 + j; d[55040 + j] = D[215][j];}\nD[216] = \"����������������������������������������������������������������谸谹谺谻谼谽谾谿豀豂豃豄豅豈豊豋豍豎豏豐豑豒豓豔豖豗豘豙豛豜豝豞豟豠豣豤豥豦豧豨豩豬豭豮豯豰豱豲豴豵豶豷豻豼豽豾豿貀貁貃貄貆貇�貈貋貍貎貏貐貑貒貓貕貖貗貙貚貛貜貝貞貟負財貢貣貤貥貦貧貨販貪貫責貭亍丌兀丐廿卅丕亘丞鬲孬噩丨禺丿匕乇夭爻卮氐囟胤馗毓睾鼗丶亟鼐乜乩亓芈孛啬嘏仄厍厝厣厥厮靥赝匚叵匦匮匾赜卦卣刂刈刎刭刳刿剀剌剞剡剜蒯剽劂劁劐劓冂罔亻仃仉仂仨仡仫仞伛仳伢佤仵伥伧伉伫佞佧攸佚佝�\".split(\"\");\nfor(j = 0; j != D[216].length; ++j) if(D[216][j].charCodeAt(0) !== 0xFFFD) { e[D[216][j]] = 55296 + j; d[55296 + j] = D[216][j];}\nD[217] = \"����������������������������������������������������������������貮貯貰貱貲貳貴貵貶買貸貹貺費貼貽貾貿賀賁賂賃賄賅賆資賈賉賊賋賌賍賎賏賐賑賒賓賔賕賖賗賘賙賚賛賜賝賞賟賠賡賢賣賤賥賦賧賨賩質賫賬�賭賮賯賰賱賲賳賴賵賶賷賸賹賺賻購賽賾賿贀贁贂贃贄贅贆贇贈贉贊贋贌贍佟佗伲伽佶佴侑侉侃侏佾佻侪佼侬侔俦俨俪俅俚俣俜俑俟俸倩偌俳倬倏倮倭俾倜倌倥倨偾偃偕偈偎偬偻傥傧傩傺僖儆僭僬僦僮儇儋仝氽佘佥俎龠汆籴兮巽黉馘冁夔勹匍訇匐凫夙兕亠兖亳衮袤亵脔裒禀嬴蠃羸冫冱冽冼�\".split(\"\");\nfor(j = 0; j != D[217].length; ++j) if(D[217][j].charCodeAt(0) !== 0xFFFD) { e[D[217][j]] = 55552 + j; d[55552 + j] = D[217][j];}\nD[218] = \"����������������������������������������������������������������贎贏贐贑贒贓贔贕贖贗贘贙贚贛贜贠赑赒赗赟赥赨赩赪赬赮赯赱赲赸赹赺赻赼赽赾赿趀趂趃趆趇趈趉趌趍趎趏趐趒趓趕趖趗趘趙趚趛趜趝趞趠趡�趢趤趥趦趧趨趩趪趫趬趭趮趯趰趲趶趷趹趻趽跀跁跂跅跇跈跉跊跍跐跒跓跔凇冖冢冥讠讦讧讪讴讵讷诂诃诋诏诎诒诓诔诖诘诙诜诟诠诤诨诩诮诰诳诶诹诼诿谀谂谄谇谌谏谑谒谔谕谖谙谛谘谝谟谠谡谥谧谪谫谮谯谲谳谵谶卩卺阝阢阡阱阪阽阼陂陉陔陟陧陬陲陴隈隍隗隰邗邛邝邙邬邡邴邳邶邺�\".split(\"\");\nfor(j = 0; j != D[218].length; ++j) if(D[218][j].charCodeAt(0) !== 0xFFFD) { e[D[218][j]] = 55808 + j; d[55808 + j] = D[218][j];}\nD[219] = \"����������������������������������������������������������������跕跘跙跜跠跡跢跥跦跧跩跭跮跰跱跲跴跶跼跾跿踀踁踂踃踄踆踇踈踋踍踎踐踑踒踓踕踖踗踘踙踚踛踜踠踡踤踥踦踧踨踫踭踰踲踳踴踶踷踸踻踼踾�踿蹃蹅蹆蹌蹍蹎蹏蹐蹓蹔蹕蹖蹗蹘蹚蹛蹜蹝蹞蹟蹠蹡蹢蹣蹤蹥蹧蹨蹪蹫蹮蹱邸邰郏郅邾郐郄郇郓郦郢郜郗郛郫郯郾鄄鄢鄞鄣鄱鄯鄹酃酆刍奂劢劬劭劾哿勐勖勰叟燮矍廴凵凼鬯厶弁畚巯坌垩垡塾墼壅壑圩圬圪圳圹圮圯坜圻坂坩垅坫垆坼坻坨坭坶坳垭垤垌垲埏垧垴垓垠埕埘埚埙埒垸埴埯埸埤埝�\".split(\"\");\nfor(j = 0; j != D[219].length; ++j) if(D[219][j].charCodeAt(0) !== 0xFFFD) { e[D[219][j]] = 56064 + j; d[56064 + j] = D[219][j];}\nD[220] = \"����������������������������������������������������������������蹳蹵蹷蹸蹹蹺蹻蹽蹾躀躂躃躄躆躈躉躊躋躌躍躎躑躒躓躕躖躗躘躙躚躛躝躟躠躡躢躣躤躥躦躧躨躩躪躭躮躰躱躳躴躵躶躷躸躹躻躼躽躾躿軀軁軂�軃軄軅軆軇軈軉車軋軌軍軏軐軑軒軓軔軕軖軗軘軙軚軛軜軝軞軟軠軡転軣軤堋堍埽埭堀堞堙塄堠塥塬墁墉墚墀馨鼙懿艹艽艿芏芊芨芄芎芑芗芙芫芸芾芰苈苊苣芘芷芮苋苌苁芩芴芡芪芟苄苎芤苡茉苷苤茏茇苜苴苒苘茌苻苓茑茚茆茔茕苠苕茜荑荛荜茈莒茼茴茱莛荞茯荏荇荃荟荀茗荠茭茺茳荦荥�\".split(\"\");\nfor(j = 0; j != D[220].length; ++j) if(D[220][j].charCodeAt(0) !== 0xFFFD) { e[D[220][j]] = 56320 + j; d[56320 + j] = D[220][j];}\nD[221] = \"����������������������������������������������������������������軥軦軧軨軩軪軫軬軭軮軯軰軱軲軳軴軵軶軷軸軹軺軻軼軽軾軿輀輁輂較輄輅輆輇輈載輊輋輌輍輎輏輐輑輒輓輔輕輖輗輘輙輚輛輜輝輞輟輠輡輢輣�輤輥輦輧輨輩輪輫輬輭輮輯輰輱輲輳輴輵輶輷輸輹輺輻輼輽輾輿轀轁轂轃轄荨茛荩荬荪荭荮莰荸莳莴莠莪莓莜莅荼莶莩荽莸荻莘莞莨莺莼菁萁菥菘堇萘萋菝菽菖萜萸萑萆菔菟萏萃菸菹菪菅菀萦菰菡葜葑葚葙葳蒇蒈葺蒉葸萼葆葩葶蒌蒎萱葭蓁蓍蓐蓦蒽蓓蓊蒿蒺蓠蒡蒹蒴蒗蓥蓣蔌甍蔸蓰蔹蔟蔺�\".split(\"\");\nfor(j = 0; j != D[221].length; ++j) if(D[221][j].charCodeAt(0) !== 0xFFFD) { e[D[221][j]] = 56576 + j; d[56576 + j] = D[221][j];}\nD[222] = \"����������������������������������������������������������������轅轆轇轈轉轊轋轌轍轎轏轐轑轒轓轔轕轖轗轘轙轚轛轜轝轞轟轠轡轢轣轤轥轪辀辌辒辝辠辡辢辤辥辦辧辪辬辭辮辯農辳辴辵辷辸辺辻込辿迀迃迆�迉迊迋迌迍迏迒迖迗迚迠迡迣迧迬迯迱迲迴迵迶迺迻迼迾迿逇逈逌逎逓逕逘蕖蔻蓿蓼蕙蕈蕨蕤蕞蕺瞢蕃蕲蕻薤薨薇薏蕹薮薜薅薹薷薰藓藁藜藿蘧蘅蘩蘖蘼廾弈夼奁耷奕奚奘匏尢尥尬尴扌扪抟抻拊拚拗拮挢拶挹捋捃掭揶捱捺掎掴捭掬掊捩掮掼揲揸揠揿揄揞揎摒揆掾摅摁搋搛搠搌搦搡摞撄摭撖�\".split(\"\");\nfor(j = 0; j != D[222].length; ++j) if(D[222][j].charCodeAt(0) !== 0xFFFD) { e[D[222][j]] = 56832 + j; d[56832 + j] = D[222][j];}\nD[223] = \"����������������������������������������������������������������這逜連逤逥逧逨逩逪逫逬逰週進逳逴逷逹逺逽逿遀遃遅遆遈遉遊運遌過達違遖遙遚遜遝遞遟遠遡遤遦遧適遪遫遬遯遰遱遲遳遶遷選遹遺遻遼遾邁�還邅邆邇邉邊邌邍邎邏邐邒邔邖邘邚邜邞邟邠邤邥邧邨邩邫邭邲邷邼邽邿郀摺撷撸撙撺擀擐擗擤擢攉攥攮弋忒甙弑卟叱叽叩叨叻吒吖吆呋呒呓呔呖呃吡呗呙吣吲咂咔呷呱呤咚咛咄呶呦咝哐咭哂咴哒咧咦哓哔呲咣哕咻咿哌哙哚哜咩咪咤哝哏哞唛哧唠哽唔哳唢唣唏唑唧唪啧喏喵啉啭啁啕唿啐唼�\".split(\"\");\nfor(j = 0; j != D[223].length; ++j) if(D[223][j].charCodeAt(0) !== 0xFFFD) { e[D[223][j]] = 57088 + j; d[57088 + j] = D[223][j];}\nD[224] = \"����������������������������������������������������������������郂郃郆郈郉郋郌郍郒郔郕郖郘郙郚郞郟郠郣郤郥郩郪郬郮郰郱郲郳郵郶郷郹郺郻郼郿鄀鄁鄃鄅鄆鄇鄈鄉鄊鄋鄌鄍鄎鄏鄐鄑鄒鄓鄔鄕鄖鄗鄘鄚鄛鄜�鄝鄟鄠鄡鄤鄥鄦鄧鄨鄩鄪鄫鄬鄭鄮鄰鄲鄳鄴鄵鄶鄷鄸鄺鄻鄼鄽鄾鄿酀酁酂酄唷啖啵啶啷唳唰啜喋嗒喃喱喹喈喁喟啾嗖喑啻嗟喽喾喔喙嗪嗷嗉嘟嗑嗫嗬嗔嗦嗝嗄嗯嗥嗲嗳嗌嗍嗨嗵嗤辔嘞嘈嘌嘁嘤嘣嗾嘀嘧嘭噘嘹噗嘬噍噢噙噜噌噔嚆噤噱噫噻噼嚅嚓嚯囔囗囝囡囵囫囹囿圄圊圉圜帏帙帔帑帱帻帼�\".split(\"\");\nfor(j = 0; j != D[224].length; ++j) if(D[224][j].charCodeAt(0) !== 0xFFFD) { e[D[224][j]] = 57344 + j; d[57344 + j] = D[224][j];}\nD[225] = \"����������������������������������������������������������������酅酇酈酑酓酔酕酖酘酙酛酜酟酠酦酧酨酫酭酳酺酻酼醀醁醂醃醄醆醈醊醎醏醓醔醕醖醗醘醙醜醝醞醟醠醡醤醥醦醧醨醩醫醬醰醱醲醳醶醷醸醹醻�醼醽醾醿釀釁釂釃釄釅釆釈釋釐釒釓釔釕釖釗釘釙釚釛針釞釟釠釡釢釣釤釥帷幄幔幛幞幡岌屺岍岐岖岈岘岙岑岚岜岵岢岽岬岫岱岣峁岷峄峒峤峋峥崂崃崧崦崮崤崞崆崛嵘崾崴崽嵬嵛嵯嵝嵫嵋嵊嵩嵴嶂嶙嶝豳嶷巅彳彷徂徇徉後徕徙徜徨徭徵徼衢彡犭犰犴犷犸狃狁狎狍狒狨狯狩狲狴狷猁狳猃狺�\".split(\"\");\nfor(j = 0; j != D[225].length; ++j) if(D[225][j].charCodeAt(0) !== 0xFFFD) { e[D[225][j]] = 57600 + j; d[57600 + j] = D[225][j];}\nD[226] = \"����������������������������������������������������������������釦釧釨釩釪釫釬釭釮釯釰釱釲釳釴釵釶釷釸釹釺釻釼釽釾釿鈀鈁鈂鈃鈄鈅鈆鈇鈈鈉鈊鈋鈌鈍鈎鈏鈐鈑鈒鈓鈔鈕鈖鈗鈘鈙鈚鈛鈜鈝鈞鈟鈠鈡鈢鈣鈤�鈥鈦鈧鈨鈩鈪鈫鈬鈭鈮鈯鈰鈱鈲鈳鈴鈵鈶鈷鈸鈹鈺鈻鈼鈽鈾鈿鉀鉁鉂鉃鉄鉅狻猗猓猡猊猞猝猕猢猹猥猬猸猱獐獍獗獠獬獯獾舛夥飧夤夂饣饧饨饩饪饫饬饴饷饽馀馄馇馊馍馐馑馓馔馕庀庑庋庖庥庠庹庵庾庳赓廒廑廛廨廪膺忄忉忖忏怃忮怄忡忤忾怅怆忪忭忸怙怵怦怛怏怍怩怫怊怿怡恸恹恻恺恂�\".split(\"\");\nfor(j = 0; j != D[226].length; ++j) if(D[226][j].charCodeAt(0) !== 0xFFFD) { e[D[226][j]] = 57856 + j; d[57856 + j] = D[226][j];}\nD[227] = \"����������������������������������������������������������������鉆鉇鉈鉉鉊鉋鉌鉍鉎鉏鉐鉑鉒鉓鉔鉕鉖鉗鉘鉙鉚鉛鉜鉝鉞鉟鉠鉡鉢鉣鉤鉥鉦鉧鉨鉩鉪鉫鉬鉭鉮鉯鉰鉱鉲鉳鉵鉶鉷鉸鉹鉺鉻鉼鉽鉾鉿銀銁銂銃銄銅�銆銇銈銉銊銋銌銍銏銐銑銒銓銔銕銖銗銘銙銚銛銜銝銞銟銠銡銢銣銤銥銦銧恪恽悖悚悭悝悃悒悌悛惬悻悱惝惘惆惚悴愠愦愕愣惴愀愎愫慊慵憬憔憧憷懔懵忝隳闩闫闱闳闵闶闼闾阃阄阆阈阊阋阌阍阏阒阕阖阗阙阚丬爿戕氵汔汜汊沣沅沐沔沌汨汩汴汶沆沩泐泔沭泷泸泱泗沲泠泖泺泫泮沱泓泯泾�\".split(\"\");\nfor(j = 0; j != D[227].length; ++j) if(D[227][j].charCodeAt(0) !== 0xFFFD) { e[D[227][j]] = 58112 + j; d[58112 + j] = D[227][j];}\nD[228] = \"����������������������������������������������������������������銨銩銪銫銬銭銯銰銱銲銳銴銵銶銷銸銹銺銻銼銽銾銿鋀鋁鋂鋃鋄鋅鋆鋇鋉鋊鋋鋌鋍鋎鋏鋐鋑鋒鋓鋔鋕鋖鋗鋘鋙鋚鋛鋜鋝鋞鋟鋠鋡鋢鋣鋤鋥鋦鋧鋨�鋩鋪鋫鋬鋭鋮鋯鋰鋱鋲鋳鋴鋵鋶鋷鋸鋹鋺鋻鋼鋽鋾鋿錀錁錂錃錄錅錆錇錈錉洹洧洌浃浈洇洄洙洎洫浍洮洵洚浏浒浔洳涑浯涞涠浞涓涔浜浠浼浣渚淇淅淞渎涿淠渑淦淝淙渖涫渌涮渫湮湎湫溲湟溆湓湔渲渥湄滟溱溘滠漭滢溥溧溽溻溷滗溴滏溏滂溟潢潆潇漤漕滹漯漶潋潴漪漉漩澉澍澌潸潲潼潺濑�\".split(\"\");\nfor(j = 0; j != D[228].length; ++j) if(D[228][j].charCodeAt(0) !== 0xFFFD) { e[D[228][j]] = 58368 + j; d[58368 + j] = D[228][j];}\nD[229] = \"����������������������������������������������������������������錊錋錌錍錎錏錐錑錒錓錔錕錖錗錘錙錚錛錜錝錞錟錠錡錢錣錤錥錦錧錨錩錪錫錬錭錮錯錰錱録錳錴錵錶錷錸錹錺錻錼錽錿鍀鍁鍂鍃鍄鍅鍆鍇鍈鍉�鍊鍋鍌鍍鍎鍏鍐鍑鍒鍓鍔鍕鍖鍗鍘鍙鍚鍛鍜鍝鍞鍟鍠鍡鍢鍣鍤鍥鍦鍧鍨鍩鍫濉澧澹澶濂濡濮濞濠濯瀚瀣瀛瀹瀵灏灞宀宄宕宓宥宸甯骞搴寤寮褰寰蹇謇辶迓迕迥迮迤迩迦迳迨逅逄逋逦逑逍逖逡逵逶逭逯遄遑遒遐遨遘遢遛暹遴遽邂邈邃邋彐彗彖彘尻咫屐屙孱屣屦羼弪弩弭艴弼鬻屮妁妃妍妩妪妣�\".split(\"\");\nfor(j = 0; j != D[229].length; ++j) if(D[229][j].charCodeAt(0) !== 0xFFFD) { e[D[229][j]] = 58624 + j; d[58624 + j] = D[229][j];}\nD[230] = \"����������������������������������������������������������������鍬鍭鍮鍯鍰鍱鍲鍳鍴鍵鍶鍷鍸鍹鍺鍻鍼鍽鍾鍿鎀鎁鎂鎃鎄鎅鎆鎇鎈鎉鎊鎋鎌鎍鎎鎐鎑鎒鎓鎔鎕鎖鎗鎘鎙鎚鎛鎜鎝鎞鎟鎠鎡鎢鎣鎤鎥鎦鎧鎨鎩鎪鎫�鎬鎭鎮鎯鎰鎱鎲鎳鎴鎵鎶鎷鎸鎹鎺鎻鎼鎽鎾鎿鏀鏁鏂鏃鏄鏅鏆鏇鏈鏉鏋鏌鏍妗姊妫妞妤姒妲妯姗妾娅娆姝娈姣姘姹娌娉娲娴娑娣娓婀婧婊婕娼婢婵胬媪媛婷婺媾嫫媲嫒嫔媸嫠嫣嫱嫖嫦嫘嫜嬉嬗嬖嬲嬷孀尕尜孚孥孳孑孓孢驵驷驸驺驿驽骀骁骅骈骊骐骒骓骖骘骛骜骝骟骠骢骣骥骧纟纡纣纥纨纩�\".split(\"\");\nfor(j = 0; j != D[230].length; ++j) if(D[230][j].charCodeAt(0) !== 0xFFFD) { e[D[230][j]] = 58880 + j; d[58880 + j] = D[230][j];}\nD[231] = \"����������������������������������������������������������������鏎鏏鏐鏑鏒鏓鏔鏕鏗鏘鏙鏚鏛鏜鏝鏞鏟鏠鏡鏢鏣鏤鏥鏦鏧鏨鏩鏪鏫鏬鏭鏮鏯鏰鏱鏲鏳鏴鏵鏶鏷鏸鏹鏺鏻鏼鏽鏾鏿鐀鐁鐂鐃鐄鐅鐆鐇鐈鐉鐊鐋鐌鐍�鐎鐏鐐鐑鐒鐓鐔鐕鐖鐗鐘鐙鐚鐛鐜鐝鐞鐟鐠鐡鐢鐣鐤鐥鐦鐧鐨鐩鐪鐫鐬鐭鐮纭纰纾绀绁绂绉绋绌绐绔绗绛绠绡绨绫绮绯绱绲缍绶绺绻绾缁缂缃缇缈缋缌缏缑缒缗缙缜缛缟缡缢缣缤缥缦缧缪缫缬缭缯缰缱缲缳缵幺畿巛甾邕玎玑玮玢玟珏珂珑玷玳珀珉珈珥珙顼琊珩珧珞玺珲琏琪瑛琦琥琨琰琮琬�\".split(\"\");\nfor(j = 0; j != D[231].length; ++j) if(D[231][j].charCodeAt(0) !== 0xFFFD) { e[D[231][j]] = 59136 + j; d[59136 + j] = D[231][j];}\nD[232] = \"����������������������������������������������������������������鐯鐰鐱鐲鐳鐴鐵鐶鐷鐸鐹鐺鐻鐼鐽鐿鑀鑁鑂鑃鑄鑅鑆鑇鑈鑉鑊鑋鑌鑍鑎鑏鑐鑑鑒鑓鑔鑕鑖鑗鑘鑙鑚鑛鑜鑝鑞鑟鑠鑡鑢鑣鑤鑥鑦鑧鑨鑩鑪鑬鑭鑮鑯�鑰鑱鑲鑳鑴鑵鑶鑷鑸鑹鑺鑻鑼鑽鑾鑿钀钁钂钃钄钑钖钘铇铏铓铔铚铦铻锜锠琛琚瑁瑜瑗瑕瑙瑷瑭瑾璜璎璀璁璇璋璞璨璩璐璧瓒璺韪韫韬杌杓杞杈杩枥枇杪杳枘枧杵枨枞枭枋杷杼柰栉柘栊柩枰栌柙枵柚枳柝栀柃枸柢栎柁柽栲栳桠桡桎桢桄桤梃栝桕桦桁桧桀栾桊桉栩梵梏桴桷梓桫棂楮棼椟椠棹�\".split(\"\");\nfor(j = 0; j != D[232].length; ++j) if(D[232][j].charCodeAt(0) !== 0xFFFD) { e[D[232][j]] = 59392 + j; d[59392 + j] = D[232][j];}\nD[233] = \"����������������������������������������������������������������锧锳锽镃镈镋镕镚镠镮镴镵長镸镹镺镻镼镽镾門閁閂閃閄閅閆閇閈閉閊開閌閍閎閏閐閑閒間閔閕閖閗閘閙閚閛閜閝閞閟閠閡関閣閤閥閦閧閨閩閪�閫閬閭閮閯閰閱閲閳閴閵閶閷閸閹閺閻閼閽閾閿闀闁闂闃闄闅闆闇闈闉闊闋椤棰椋椁楗棣椐楱椹楠楂楝榄楫榀榘楸椴槌榇榈槎榉楦楣楹榛榧榻榫榭槔榱槁槊槟榕槠榍槿樯槭樗樘橥槲橄樾檠橐橛樵檎橹樽樨橘橼檑檐檩檗檫猷獒殁殂殇殄殒殓殍殚殛殡殪轫轭轱轲轳轵轶轸轷轹轺轼轾辁辂辄辇辋�\".split(\"\");\nfor(j = 0; j != D[233].length; ++j) if(D[233][j].charCodeAt(0) !== 0xFFFD) { e[D[233][j]] = 59648 + j; d[59648 + j] = D[233][j];}\nD[234] = \"����������������������������������������������������������������闌闍闎闏闐闑闒闓闔闕闖闗闘闙闚闛關闝闞闟闠闡闢闣闤闥闦闧闬闿阇阓阘阛阞阠阣阤阥阦阧阨阩阫阬阭阯阰阷阸阹阺阾陁陃陊陎陏陑陒陓陖陗�陘陙陚陜陝陞陠陣陥陦陫陭陮陯陰陱陳陸陹険陻陼陽陾陿隀隁隂隃隄隇隉隊辍辎辏辘辚軎戋戗戛戟戢戡戥戤戬臧瓯瓴瓿甏甑甓攴旮旯旰昊昙杲昃昕昀炅曷昝昴昱昶昵耆晟晔晁晏晖晡晗晷暄暌暧暝暾曛曜曦曩贲贳贶贻贽赀赅赆赈赉赇赍赕赙觇觊觋觌觎觏觐觑牮犟牝牦牯牾牿犄犋犍犏犒挈挲掰�\".split(\"\");\nfor(j = 0; j != D[234].length; ++j) if(D[234][j].charCodeAt(0) !== 0xFFFD) { e[D[234][j]] = 59904 + j; d[59904 + j] = D[234][j];}\nD[235] = \"����������������������������������������������������������������隌階隑隒隓隕隖隚際隝隞隟隠隡隢隣隤隥隦隨隩險隫隬隭隮隯隱隲隴隵隷隸隺隻隿雂雃雈雊雋雐雑雓雔雖雗雘雙雚雛雜雝雞雟雡離難雤雥雦雧雫�雬雭雮雰雱雲雴雵雸雺電雼雽雿霂霃霅霊霋霌霐霑霒霔霕霗霘霙霚霛霝霟霠搿擘耄毪毳毽毵毹氅氇氆氍氕氘氙氚氡氩氤氪氲攵敕敫牍牒牖爰虢刖肟肜肓肼朊肽肱肫肭肴肷胧胨胩胪胛胂胄胙胍胗朐胝胫胱胴胭脍脎胲胼朕脒豚脶脞脬脘脲腈腌腓腴腙腚腱腠腩腼腽腭腧塍媵膈膂膑滕膣膪臌朦臊膻�\".split(\"\");\nfor(j = 0; j != D[235].length; ++j) if(D[235][j].charCodeAt(0) !== 0xFFFD) { e[D[235][j]] = 60160 + j; d[60160 + j] = D[235][j];}\nD[236] = \"����������������������������������������������������������������霡霢霣霤霥霦霧霨霩霫霬霮霯霱霳霴霵霶霷霺霻霼霽霿靀靁靂靃靄靅靆靇靈靉靊靋靌靍靎靏靐靑靔靕靗靘靚靜靝靟靣靤靦靧靨靪靫靬靭靮靯靰靱�靲靵靷靸靹靺靻靽靾靿鞀鞁鞂鞃鞄鞆鞇鞈鞉鞊鞌鞎鞏鞐鞓鞕鞖鞗鞙鞚鞛鞜鞝臁膦欤欷欹歃歆歙飑飒飓飕飙飚殳彀毂觳斐齑斓於旆旄旃旌旎旒旖炀炜炖炝炻烀炷炫炱烨烊焐焓焖焯焱煳煜煨煅煲煊煸煺熘熳熵熨熠燠燔燧燹爝爨灬焘煦熹戾戽扃扈扉礻祀祆祉祛祜祓祚祢祗祠祯祧祺禅禊禚禧禳忑忐�\".split(\"\");\nfor(j = 0; j != D[236].length; ++j) if(D[236][j].charCodeAt(0) !== 0xFFFD) { e[D[236][j]] = 60416 + j; d[60416 + j] = D[236][j];}\nD[237] = \"����������������������������������������������������������������鞞鞟鞡鞢鞤鞥鞦鞧鞨鞩鞪鞬鞮鞰鞱鞳鞵鞶鞷鞸鞹鞺鞻鞼鞽鞾鞿韀韁韂韃韄韅韆韇韈韉韊韋韌韍韎韏韐韑韒韓韔韕韖韗韘韙韚韛韜韝韞韟韠韡韢韣�韤韥韨韮韯韰韱韲韴韷韸韹韺韻韼韽韾響頀頁頂頃頄項順頇須頉頊頋頌頍頎怼恝恚恧恁恙恣悫愆愍慝憩憝懋懑戆肀聿沓泶淼矶矸砀砉砗砘砑斫砭砜砝砹砺砻砟砼砥砬砣砩硎硭硖硗砦硐硇硌硪碛碓碚碇碜碡碣碲碹碥磔磙磉磬磲礅磴礓礤礞礴龛黹黻黼盱眄眍盹眇眈眚眢眙眭眦眵眸睐睑睇睃睚睨�\".split(\"\");\nfor(j = 0; j != D[237].length; ++j) if(D[237][j].charCodeAt(0) !== 0xFFFD) { e[D[237][j]] = 60672 + j; d[60672 + j] = D[237][j];}\nD[238] = \"����������������������������������������������������������������頏預頑頒頓頔頕頖頗領頙頚頛頜頝頞頟頠頡頢頣頤頥頦頧頨頩頪頫頬頭頮頯頰頱頲頳頴頵頶頷頸頹頺頻頼頽頾頿顀顁顂顃顄顅顆顇顈顉顊顋題額�顎顏顐顑顒顓顔顕顖顗願顙顚顛顜顝類顟顠顡顢顣顤顥顦顧顨顩顪顫顬顭顮睢睥睿瞍睽瞀瞌瞑瞟瞠瞰瞵瞽町畀畎畋畈畛畲畹疃罘罡罟詈罨罴罱罹羁罾盍盥蠲钅钆钇钋钊钌钍钏钐钔钗钕钚钛钜钣钤钫钪钭钬钯钰钲钴钶钷钸钹钺钼钽钿铄铈铉铊铋铌铍铎铐铑铒铕铖铗铙铘铛铞铟铠铢铤铥铧铨铪�\".split(\"\");\nfor(j = 0; j != D[238].length; ++j) if(D[238][j].charCodeAt(0) !== 0xFFFD) { e[D[238][j]] = 60928 + j; d[60928 + j] = D[238][j];}\nD[239] = \"����������������������������������������������������������������顯顰顱顲顳顴颋颎颒颕颙颣風颩颪颫颬颭颮颯颰颱颲颳颴颵颶颷颸颹颺颻颼颽颾颿飀飁飂飃飄飅飆飇飈飉飊飋飌飍飏飐飔飖飗飛飜飝飠飡飢飣飤�飥飦飩飪飫飬飭飮飯飰飱飲飳飴飵飶飷飸飹飺飻飼飽飾飿餀餁餂餃餄餅餆餇铩铫铮铯铳铴铵铷铹铼铽铿锃锂锆锇锉锊锍锎锏锒锓锔锕锖锘锛锝锞锟锢锪锫锩锬锱锲锴锶锷锸锼锾锿镂锵镄镅镆镉镌镎镏镒镓镔镖镗镘镙镛镞镟镝镡镢镤镥镦镧镨镩镪镫镬镯镱镲镳锺矧矬雉秕秭秣秫稆嵇稃稂稞稔�\".split(\"\");\nfor(j = 0; j != D[239].length; ++j) if(D[239][j].charCodeAt(0) !== 0xFFFD) { e[D[239][j]] = 61184 + j; d[61184 + j] = D[239][j];}\nD[240] = \"����������������������������������������������������������������餈餉養餋餌餎餏餑餒餓餔餕餖餗餘餙餚餛餜餝餞餟餠餡餢餣餤餥餦餧館餩餪餫餬餭餯餰餱餲餳餴餵餶餷餸餹餺餻餼餽餾餿饀饁饂饃饄饅饆饇饈饉�饊饋饌饍饎饏饐饑饒饓饖饗饘饙饚饛饜饝饞饟饠饡饢饤饦饳饸饹饻饾馂馃馉稹稷穑黏馥穰皈皎皓皙皤瓞瓠甬鸠鸢鸨鸩鸪鸫鸬鸲鸱鸶鸸鸷鸹鸺鸾鹁鹂鹄鹆鹇鹈鹉鹋鹌鹎鹑鹕鹗鹚鹛鹜鹞鹣鹦鹧鹨鹩鹪鹫鹬鹱鹭鹳疒疔疖疠疝疬疣疳疴疸痄疱疰痃痂痖痍痣痨痦痤痫痧瘃痱痼痿瘐瘀瘅瘌瘗瘊瘥瘘瘕瘙�\".split(\"\");\nfor(j = 0; j != D[240].length; ++j) if(D[240][j].charCodeAt(0) !== 0xFFFD) { e[D[240][j]] = 61440 + j; d[61440 + j] = D[240][j];}\nD[241] = \"����������������������������������������������������������������馌馎馚馛馜馝馞馟馠馡馢馣馤馦馧馩馪馫馬馭馮馯馰馱馲馳馴馵馶馷馸馹馺馻馼馽馾馿駀駁駂駃駄駅駆駇駈駉駊駋駌駍駎駏駐駑駒駓駔駕駖駗駘�駙駚駛駜駝駞駟駠駡駢駣駤駥駦駧駨駩駪駫駬駭駮駯駰駱駲駳駴駵駶駷駸駹瘛瘼瘢瘠癀瘭瘰瘿瘵癃瘾瘳癍癞癔癜癖癫癯翊竦穸穹窀窆窈窕窦窠窬窨窭窳衤衩衲衽衿袂袢裆袷袼裉裢裎裣裥裱褚裼裨裾裰褡褙褓褛褊褴褫褶襁襦襻疋胥皲皴矜耒耔耖耜耠耢耥耦耧耩耨耱耋耵聃聆聍聒聩聱覃顸颀颃�\".split(\"\");\nfor(j = 0; j != D[241].length; ++j) if(D[241][j].charCodeAt(0) !== 0xFFFD) { e[D[241][j]] = 61696 + j; d[61696 + j] = D[241][j];}\nD[242] = \"����������������������������������������������������������������駺駻駼駽駾駿騀騁騂騃騄騅騆騇騈騉騊騋騌騍騎騏騐騑騒験騔騕騖騗騘騙騚騛騜騝騞騟騠騡騢騣騤騥騦騧騨騩騪騫騬騭騮騯騰騱騲騳騴騵騶騷騸�騹騺騻騼騽騾騿驀驁驂驃驄驅驆驇驈驉驊驋驌驍驎驏驐驑驒驓驔驕驖驗驘驙颉颌颍颏颔颚颛颞颟颡颢颥颦虍虔虬虮虿虺虼虻蚨蚍蚋蚬蚝蚧蚣蚪蚓蚩蚶蛄蚵蛎蚰蚺蚱蚯蛉蛏蚴蛩蛱蛲蛭蛳蛐蜓蛞蛴蛟蛘蛑蜃蜇蛸蜈蜊蜍蜉蜣蜻蜞蜥蜮蜚蜾蝈蜴蜱蜩蜷蜿螂蜢蝽蝾蝻蝠蝰蝌蝮螋蝓蝣蝼蝤蝙蝥螓螯螨蟒�\".split(\"\");\nfor(j = 0; j != D[242].length; ++j) if(D[242][j].charCodeAt(0) !== 0xFFFD) { e[D[242][j]] = 61952 + j; d[61952 + j] = D[242][j];}\nD[243] = \"����������������������������������������������������������������驚驛驜驝驞驟驠驡驢驣驤驥驦驧驨驩驪驫驲骃骉骍骎骔骕骙骦骩骪骫骬骭骮骯骲骳骴骵骹骻骽骾骿髃髄髆髇髈髉髊髍髎髏髐髒體髕髖髗髙髚髛髜�髝髞髠髢髣髤髥髧髨髩髪髬髮髰髱髲髳髴髵髶髷髸髺髼髽髾髿鬀鬁鬂鬄鬅鬆蟆螈螅螭螗螃螫蟥螬螵螳蟋蟓螽蟑蟀蟊蟛蟪蟠蟮蠖蠓蟾蠊蠛蠡蠹蠼缶罂罄罅舐竺竽笈笃笄笕笊笫笏筇笸笪笙笮笱笠笥笤笳笾笞筘筚筅筵筌筝筠筮筻筢筲筱箐箦箧箸箬箝箨箅箪箜箢箫箴篑篁篌篝篚篥篦篪簌篾篼簏簖簋�\".split(\"\");\nfor(j = 0; j != D[243].length; ++j) if(D[243][j].charCodeAt(0) !== 0xFFFD) { e[D[243][j]] = 62208 + j; d[62208 + j] = D[243][j];}\nD[244] = \"����������������������������������������������������������������鬇鬉鬊鬋鬌鬍鬎鬐鬑鬒鬔鬕鬖鬗鬘鬙鬚鬛鬜鬝鬞鬠鬡鬢鬤鬥鬦鬧鬨鬩鬪鬫鬬鬭鬮鬰鬱鬳鬴鬵鬶鬷鬸鬹鬺鬽鬾鬿魀魆魊魋魌魎魐魒魓魕魖魗魘魙魚�魛魜魝魞魟魠魡魢魣魤魥魦魧魨魩魪魫魬魭魮魯魰魱魲魳魴魵魶魷魸魹魺魻簟簪簦簸籁籀臾舁舂舄臬衄舡舢舣舭舯舨舫舸舻舳舴舾艄艉艋艏艚艟艨衾袅袈裘裟襞羝羟羧羯羰羲籼敉粑粝粜粞粢粲粼粽糁糇糌糍糈糅糗糨艮暨羿翎翕翥翡翦翩翮翳糸絷綦綮繇纛麸麴赳趄趔趑趱赧赭豇豉酊酐酎酏酤�\".split(\"\");\nfor(j = 0; j != D[244].length; ++j) if(D[244][j].charCodeAt(0) !== 0xFFFD) { e[D[244][j]] = 62464 + j; d[62464 + j] = D[244][j];}\nD[245] = \"����������������������������������������������������������������魼魽魾魿鮀鮁鮂鮃鮄鮅鮆鮇鮈鮉鮊鮋鮌鮍鮎鮏鮐鮑鮒鮓鮔鮕鮖鮗鮘鮙鮚鮛鮜鮝鮞鮟鮠鮡鮢鮣鮤鮥鮦鮧鮨鮩鮪鮫鮬鮭鮮鮯鮰鮱鮲鮳鮴鮵鮶鮷鮸鮹鮺�鮻鮼鮽鮾鮿鯀鯁鯂鯃鯄鯅鯆鯇鯈鯉鯊鯋鯌鯍鯎鯏鯐鯑鯒鯓鯔鯕鯖鯗鯘鯙鯚鯛酢酡酰酩酯酽酾酲酴酹醌醅醐醍醑醢醣醪醭醮醯醵醴醺豕鹾趸跫踅蹙蹩趵趿趼趺跄跖跗跚跞跎跏跛跆跬跷跸跣跹跻跤踉跽踔踝踟踬踮踣踯踺蹀踹踵踽踱蹉蹁蹂蹑蹒蹊蹰蹶蹼蹯蹴躅躏躔躐躜躞豸貂貊貅貘貔斛觖觞觚觜�\".split(\"\");\nfor(j = 0; j != D[245].length; ++j) if(D[245][j].charCodeAt(0) !== 0xFFFD) { e[D[245][j]] = 62720 + j; d[62720 + j] = D[245][j];}\nD[246] = \"����������������������������������������������������������������鯜鯝鯞鯟鯠鯡鯢鯣鯤鯥鯦鯧鯨鯩鯪鯫鯬鯭鯮鯯鯰鯱鯲鯳鯴鯵鯶鯷鯸鯹鯺鯻鯼鯽鯾鯿鰀鰁鰂鰃鰄鰅鰆鰇鰈鰉鰊鰋鰌鰍鰎鰏鰐鰑鰒鰓鰔鰕鰖鰗鰘鰙鰚�鰛鰜鰝鰞鰟鰠鰡鰢鰣鰤鰥鰦鰧鰨鰩鰪鰫鰬鰭鰮鰯鰰鰱鰲鰳鰴鰵鰶鰷鰸鰹鰺鰻觥觫觯訾謦靓雩雳雯霆霁霈霏霎霪霭霰霾龀龃龅龆龇龈龉龊龌黾鼋鼍隹隼隽雎雒瞿雠銎銮鋈錾鍪鏊鎏鐾鑫鱿鲂鲅鲆鲇鲈稣鲋鲎鲐鲑鲒鲔鲕鲚鲛鲞鲟鲠鲡鲢鲣鲥鲦鲧鲨鲩鲫鲭鲮鲰鲱鲲鲳鲴鲵鲶鲷鲺鲻鲼鲽鳄鳅鳆鳇鳊鳋�\".split(\"\");\nfor(j = 0; j != D[246].length; ++j) if(D[246][j].charCodeAt(0) !== 0xFFFD) { e[D[246][j]] = 62976 + j; d[62976 + j] = D[246][j];}\nD[247] = \"����������������������������������������������������������������鰼鰽鰾鰿鱀鱁鱂鱃鱄鱅鱆鱇鱈鱉鱊鱋鱌鱍鱎鱏鱐鱑鱒鱓鱔鱕鱖鱗鱘鱙鱚鱛鱜鱝鱞鱟鱠鱡鱢鱣鱤鱥鱦鱧鱨鱩鱪鱫鱬鱭鱮鱯鱰鱱鱲鱳鱴鱵鱶鱷鱸鱹鱺�鱻鱽鱾鲀鲃鲄鲉鲊鲌鲏鲓鲖鲗鲘鲙鲝鲪鲬鲯鲹鲾鲿鳀鳁鳂鳈鳉鳑鳒鳚鳛鳠鳡鳌鳍鳎鳏鳐鳓鳔鳕鳗鳘鳙鳜鳝鳟鳢靼鞅鞑鞒鞔鞯鞫鞣鞲鞴骱骰骷鹘骶骺骼髁髀髅髂髋髌髑魅魃魇魉魈魍魑飨餍餮饕饔髟髡髦髯髫髻髭髹鬈鬏鬓鬟鬣麽麾縻麂麇麈麋麒鏖麝麟黛黜黝黠黟黢黩黧黥黪黯鼢鼬鼯鼹鼷鼽鼾齄�\".split(\"\");\nfor(j = 0; j != D[247].length; ++j) if(D[247][j].charCodeAt(0) !== 0xFFFD) { e[D[247][j]] = 63232 + j; d[63232 + j] = D[247][j];}\nD[248] = \"����������������������������������������������������������������鳣鳤鳥鳦鳧鳨鳩鳪鳫鳬鳭鳮鳯鳰鳱鳲鳳鳴鳵鳶鳷鳸鳹鳺鳻鳼鳽鳾鳿鴀鴁鴂鴃鴄鴅鴆鴇鴈鴉鴊鴋鴌鴍鴎鴏鴐鴑鴒鴓鴔鴕鴖鴗鴘鴙鴚鴛鴜鴝鴞鴟鴠鴡�鴢鴣鴤鴥鴦鴧鴨鴩鴪鴫鴬鴭鴮鴯鴰鴱鴲鴳鴴鴵鴶鴷鴸鴹鴺鴻鴼鴽鴾鴿鵀鵁鵂�����������������������������������������������������������������������������������������������\".split(\"\");\nfor(j = 0; j != D[248].length; ++j) if(D[248][j].charCodeAt(0) !== 0xFFFD) { e[D[248][j]] = 63488 + j; d[63488 + j] = D[248][j];}\nD[249] = \"����������������������������������������������������������������鵃鵄鵅鵆鵇鵈鵉鵊鵋鵌鵍鵎鵏鵐鵑鵒鵓鵔鵕鵖鵗鵘鵙鵚鵛鵜鵝鵞鵟鵠鵡鵢鵣鵤鵥鵦鵧鵨鵩鵪鵫鵬鵭鵮鵯鵰鵱鵲鵳鵴鵵鵶鵷鵸鵹鵺鵻鵼鵽鵾鵿鶀鶁�鶂鶃鶄鶅鶆鶇鶈鶉鶊鶋鶌鶍鶎鶏鶐鶑鶒鶓鶔鶕鶖鶗鶘鶙鶚鶛鶜鶝鶞鶟鶠鶡鶢�����������������������������������������������������������������������������������������������\".split(\"\");\nfor(j = 0; j != D[249].length; ++j) if(D[249][j].charCodeAt(0) !== 0xFFFD) { e[D[249][j]] = 63744 + j; d[63744 + j] = D[249][j];}\nD[250] = \"����������������������������������������������������������������鶣鶤鶥鶦鶧鶨鶩鶪鶫鶬鶭鶮鶯鶰鶱鶲鶳鶴鶵鶶鶷鶸鶹鶺鶻鶼鶽鶾鶿鷀鷁鷂鷃鷄鷅鷆鷇鷈鷉鷊鷋鷌鷍鷎鷏鷐鷑鷒鷓鷔鷕鷖鷗鷘鷙鷚鷛鷜鷝鷞鷟鷠鷡�鷢鷣鷤鷥鷦鷧鷨鷩鷪鷫鷬鷭鷮鷯鷰鷱鷲鷳鷴鷵鷶鷷鷸鷹鷺鷻鷼鷽鷾鷿鸀鸁鸂�����������������������������������������������������������������������������������������������\".split(\"\");\nfor(j = 0; j != D[250].length; ++j) if(D[250][j].charCodeAt(0) !== 0xFFFD) { e[D[250][j]] = 64000 + j; d[64000 + j] = D[250][j];}\nD[251] = \"����������������������������������������������������������������鸃鸄鸅鸆鸇鸈鸉鸊鸋鸌鸍鸎鸏鸐鸑鸒鸓鸔鸕鸖鸗鸘鸙鸚鸛鸜鸝鸞鸤鸧鸮鸰鸴鸻鸼鹀鹍鹐鹒鹓鹔鹖鹙鹝鹟鹠鹡鹢鹥鹮鹯鹲鹴鹵鹶鹷鹸鹹鹺鹻鹼鹽麀�麁麃麄麅麆麉麊麌麍麎麏麐麑麔麕麖麗麘麙麚麛麜麞麠麡麢麣麤麥麧麨麩麪�����������������������������������������������������������������������������������������������\".split(\"\");\nfor(j = 0; j != D[251].length; ++j) if(D[251][j].charCodeAt(0) !== 0xFFFD) { e[D[251][j]] = 64256 + j; d[64256 + j] = D[251][j];}\nD[252] = \"����������������������������������������������������������������麫麬麭麮麯麰麱麲麳麵麶麷麹麺麼麿黀黁黂黃黅黆黇黈黊黋黌黐黒黓黕黖黗黙黚點黡黣黤黦黨黫黬黭黮黰黱黲黳黴黵黶黷黸黺黽黿鼀鼁鼂鼃鼄鼅�鼆鼇鼈鼉鼊鼌鼏鼑鼒鼔鼕鼖鼘鼚鼛鼜鼝鼞鼟鼡鼣鼤鼥鼦鼧鼨鼩鼪鼫鼭鼮鼰鼱�����������������������������������������������������������������������������������������������\".split(\"\");\nfor(j = 0; j != D[252].length; ++j) if(D[252][j].charCodeAt(0) !== 0xFFFD) { e[D[252][j]] = 64512 + j; d[64512 + j] = D[252][j];}\nD[253] = \"����������������������������������������������������������������鼲鼳鼴鼵鼶鼸鼺鼼鼿齀齁齂齃齅齆齇齈齉齊齋齌齍齎齏齒齓齔齕齖齗齘齙齚齛齜齝齞齟齠齡齢齣齤齥齦齧齨齩齪齫齬齭齮齯齰齱齲齳齴齵齶齷齸�齹齺齻齼齽齾龁龂龍龎龏龐龑龒龓龔龕龖龗龘龜龝龞龡龢龣龤龥郎凉秊裏隣�����������������������������������������������������������������������������������������������\".split(\"\");\nfor(j = 0; j != D[253].length; ++j) if(D[253][j].charCodeAt(0) !== 0xFFFD) { e[D[253][j]] = 64768 + j; d[64768 + j] = D[253][j];}\nD[254] = \"����������������������������������������������������������������兀嗀﨎﨏﨑﨓﨔礼﨟蘒﨡﨣﨤﨧﨨﨩��������������������������������������������������������������������������������������������������������������������������������������������������������������������������������\".split(\"\");\nfor(j = 0; j != D[254].length; ++j) if(D[254][j].charCodeAt(0) !== 0xFFFD) { e[D[254][j]] = 65024 + j; d[65024 + j] = D[254][j];}\nreturn {\"enc\": e, \"dec\": d }; })();\ncptable[949] = (function(){ var d = [], e = {}, D = [], j;\nD[0] = \"\\u0000\\u0001\\u0002\\u0003\\u0004\\u0005\\u0006\\u0007\\b\\t\\n\\u000b\\f\\r\\u000e\\u000f\\u0010\\u0011\\u0012\\u0013\\u0014\\u0015\\u0016\\u0017\\u0018\\u0019\\u001a\\u001b\\u001c\\u001d\\u001e\\u001f !\\\"#$%&'()*+,-./0123456789:;<=>?@ABCDEFGHIJKLMNOPQRSTUVWXYZ[\\\\]^_`abcdefghijklmnopqrstuvwxyz{|}~��������������������������������������������������������������������������������������������������������������������������������\".split(\"\");\nfor(j = 0; j != D[0].length; ++j) if(D[0][j].charCodeAt(0) !== 0xFFFD) { e[D[0][j]] = 0 + j; d[0 + j] = D[0][j];}\nD[129] = \"�����������������������������������������������������������������갂갃갅갆갋갌갍갎갏갘갞갟갡갢갣갥갦갧갨갩갪갫갮갲갳갴������갵갶갷갺갻갽갾갿걁걂걃걄걅걆걇걈걉걊걌걎걏걐걑걒걓걕������걖걗걙걚걛걝걞걟걠걡걢걣걤걥걦걧걨걩걪걫걬걭걮걯걲걳걵걶걹걻걼걽걾걿겂겇겈겍겎겏겑겒겓겕겖겗겘겙겚겛겞겢겣겤겥겦겧겫겭겮겱겲겳겴겵겶겷겺겾겿곀곂곃곅곆곇곉곊곋곍곎곏곐곑곒곓곔곖곘곙곚곛곜곝곞곟곢곣곥곦곩곫곭곮곲곴곷곸곹곺곻곾곿괁괂괃괅괇괈괉괊괋괎괐괒괓�\".split(\"\");\nfor(j = 0; j != D[129].length; ++j) if(D[129][j].charCodeAt(0) !== 0xFFFD) { e[D[129][j]] = 33024 + j; d[33024 + j] = D[129][j];}\nD[130] = \"�����������������������������������������������������������������괔괕괖괗괙괚괛괝괞괟괡괢괣괤괥괦괧괨괪괫괮괯괰괱괲괳������괶괷괹괺괻괽괾괿굀굁굂굃굆굈굊굋굌굍굎굏굑굒굓굕굖굗������굙굚굛굜굝굞굟굠굢굤굥굦굧굨굩굪굫굮굯굱굲굷굸굹굺굾궀궃궄궅궆궇궊궋궍궎궏궑궒궓궔궕궖궗궘궙궚궛궞궟궠궡궢궣궥궦궧궨궩궪궫궬궭궮궯궰궱궲궳궴궵궶궸궹궺궻궼궽궾궿귂귃귅귆귇귉귊귋귌귍귎귏귒귔귕귖귗귘귙귚귛귝귞귟귡귢귣귥귦귧귨귩귪귫귬귭귮귯귰귱귲귳귴귵귶귷�\".split(\"\");\nfor(j = 0; j != D[130].length; ++j) if(D[130][j].charCodeAt(0) !== 0xFFFD) { e[D[130][j]] = 33280 + j; d[33280 + j] = D[130][j];}\nD[131] = \"�����������������������������������������������������������������귺귻귽귾긂긃긄긅긆긇긊긌긎긏긐긑긒긓긕긖긗긘긙긚긛긜������긝긞긟긠긡긢긣긤긥긦긧긨긩긪긫긬긭긮긯긲긳긵긶긹긻긼������긽긾긿깂깄깇깈깉깋깏깑깒깓깕깗깘깙깚깛깞깢깣깤깦깧깪깫깭깮깯깱깲깳깴깵깶깷깺깾깿꺀꺁꺂꺃꺆꺇꺈꺉꺊꺋꺍꺎꺏꺐꺑꺒꺓꺔꺕꺖꺗꺘꺙꺚꺛꺜꺝꺞꺟꺠꺡꺢꺣꺤꺥꺦꺧꺨꺩꺪꺫꺬꺭꺮꺯꺰꺱꺲꺳꺴꺵꺶꺷꺸꺹꺺꺻꺿껁껂껃껅껆껇껈껉껊껋껎껒껓껔껕껖껗껚껛껝껞껟껠껡껢껣껤껥�\".split(\"\");\nfor(j = 0; j != D[131].length; ++j) if(D[131][j].charCodeAt(0) !== 0xFFFD) { e[D[131][j]] = 33536 + j; d[33536 + j] = D[131][j];}\nD[132] = \"�����������������������������������������������������������������껦껧껩껪껬껮껯껰껱껲껳껵껶껷껹껺껻껽껾껿꼀꼁꼂꼃꼄꼅������꼆꼉꼊꼋꼌꼎꼏꼑꼒꼓꼔꼕꼖꼗꼘꼙꼚꼛꼜꼝꼞꼟꼠꼡꼢꼣������꼤꼥꼦꼧꼨꼩꼪꼫꼮꼯꼱꼳꼵꼶꼷꼸꼹꼺꼻꼾꽀꽄꽅꽆꽇꽊꽋꽌꽍꽎꽏꽑꽒꽓꽔꽕꽖꽗꽘꽙꽚꽛꽞꽟꽠꽡꽢꽣꽦꽧꽨꽩꽪꽫꽬꽭꽮꽯꽰꽱꽲꽳꽴꽵꽶꽷꽸꽺꽻꽼꽽꽾꽿꾁꾂꾃꾅꾆꾇꾉꾊꾋꾌꾍꾎꾏꾒꾓꾔꾖꾗꾘꾙꾚꾛꾝꾞꾟꾠꾡꾢꾣꾤꾥꾦꾧꾨꾩꾪꾫꾬꾭꾮꾯꾰꾱꾲꾳꾴꾵꾶꾷꾺꾻꾽꾾�\".split(\"\");\nfor(j = 0; j != D[132].length; ++j) if(D[132][j].charCodeAt(0) !== 0xFFFD) { e[D[132][j]] = 33792 + j; d[33792 + j] = D[132][j];}\nD[133] = \"�����������������������������������������������������������������꾿꿁꿂꿃꿄꿅꿆꿊꿌꿏꿐꿑꿒꿓꿕꿖꿗꿘꿙꿚꿛꿝꿞꿟꿠꿡������꿢꿣꿤꿥꿦꿧꿪꿫꿬꿭꿮꿯꿲꿳꿵꿶꿷꿹꿺꿻꿼꿽꿾꿿뀂뀃������뀅뀆뀇뀈뀉뀊뀋뀍뀎뀏뀑뀒뀓뀕뀖뀗뀘뀙뀚뀛뀞뀟뀠뀡뀢뀣뀤뀥뀦뀧뀩뀪뀫뀬뀭뀮뀯뀰뀱뀲뀳뀴뀵뀶뀷뀸뀹뀺뀻뀼뀽뀾뀿끀끁끂끃끆끇끉끋끍끏끐끑끒끖끘끚끛끜끞끟끠끡끢끣끤끥끦끧끨끩끪끫끬끭끮끯끰끱끲끳끴끵끶끷끸끹끺끻끾끿낁낂낃낅낆낇낈낉낊낋낎낐낒낓낔낕낖낗낛낝낞낣낤�\".split(\"\");\nfor(j = 0; j != D[133].length; ++j) if(D[133][j].charCodeAt(0) !== 0xFFFD) { e[D[133][j]] = 34048 + j; d[34048 + j] = D[133][j];}\nD[134] = \"�����������������������������������������������������������������낥낦낧낪낰낲낶낷낹낺낻낽낾낿냀냁냂냃냆냊냋냌냍냎냏냒������냓냕냖냗냙냚냛냜냝냞냟냡냢냣냤냦냧냨냩냪냫냬냭냮냯냰������냱냲냳냴냵냶냷냸냹냺냻냼냽냾냿넀넁넂넃넄넅넆넇넊넍넎넏넑넔넕넖넗넚넞넟넠넡넢넦넧넩넪넫넭넮넯넰넱넲넳넶넺넻넼넽넾넿녂녃녅녆녇녉녊녋녌녍녎녏녒녓녖녗녙녚녛녝녞녟녡녢녣녤녥녦녧녨녩녪녫녬녭녮녯녰녱녲녳녴녵녶녷녺녻녽녾녿놁놃놄놅놆놇놊놌놎놏놐놑놕놖놗놙놚놛놝�\".split(\"\");\nfor(j = 0; j != D[134].length; ++j) if(D[134][j].charCodeAt(0) !== 0xFFFD) { e[D[134][j]] = 34304 + j; d[34304 + j] = D[134][j];}\nD[135] = \"�����������������������������������������������������������������놞놟놠놡놢놣놤놥놦놧놩놪놫놬놭놮놯놰놱놲놳놴놵놶놷놸������놹놺놻놼놽놾놿뇀뇁뇂뇃뇄뇅뇆뇇뇈뇉뇊뇋뇍뇎뇏뇑뇒뇓뇕������뇖뇗뇘뇙뇚뇛뇞뇠뇡뇢뇣뇤뇥뇦뇧뇪뇫뇭뇮뇯뇱뇲뇳뇴뇵뇶뇷뇸뇺뇼뇾뇿눀눁눂눃눆눇눉눊눍눎눏눐눑눒눓눖눘눚눛눜눝눞눟눡눢눣눤눥눦눧눨눩눪눫눬눭눮눯눰눱눲눳눵눶눷눸눹눺눻눽눾눿뉀뉁뉂뉃뉄뉅뉆뉇뉈뉉뉊뉋뉌뉍뉎뉏뉐뉑뉒뉓뉔뉕뉖뉗뉙뉚뉛뉝뉞뉟뉡뉢뉣뉤뉥뉦뉧뉪뉫뉬뉭뉮�\".split(\"\");\nfor(j = 0; j != D[135].length; ++j) if(D[135][j].charCodeAt(0) !== 0xFFFD) { e[D[135][j]] = 34560 + j; d[34560 + j] = D[135][j];}\nD[136] = \"�����������������������������������������������������������������뉯뉰뉱뉲뉳뉶뉷뉸뉹뉺뉻뉽뉾뉿늀늁늂늃늆늇늈늊늋늌늍늎������늏늒늓늕늖늗늛늜늝늞늟늢늤늧늨늩늫늭늮늯늱늲늳늵늶늷������늸늹늺늻늼늽늾늿닀닁닂닃닄닅닆닇닊닋닍닎닏닑닓닔닕닖닗닚닜닞닟닠닡닣닧닩닪닰닱닲닶닼닽닾댂댃댅댆댇댉댊댋댌댍댎댏댒댖댗댘댙댚댛댝댞댟댠댡댢댣댤댥댦댧댨댩댪댫댬댭댮댯댰댱댲댳댴댵댶댷댸댹댺댻댼댽댾댿덀덁덂덃덄덅덆덇덈덉덊덋덌덍덎덏덐덑덒덓덗덙덚덝덠덡덢덣�\".split(\"\");\nfor(j = 0; j != D[136].length; ++j) if(D[136][j].charCodeAt(0) !== 0xFFFD) { e[D[136][j]] = 34816 + j; d[34816 + j] = D[136][j];}\nD[137] = \"�����������������������������������������������������������������덦덨덪덬덭덯덲덳덵덶덷덹덺덻덼덽덾덿뎂뎆뎇뎈뎉뎊뎋뎍������뎎뎏뎑뎒뎓뎕뎖뎗뎘뎙뎚뎛뎜뎝뎞뎟뎢뎣뎤뎥뎦뎧뎩뎪뎫뎭������뎮뎯뎰뎱뎲뎳뎴뎵뎶뎷뎸뎹뎺뎻뎼뎽뎾뎿돀돁돂돃돆돇돉돊돍돏돑돒돓돖돘돚돜돞돟돡돢돣돥돦돧돩돪돫돬돭돮돯돰돱돲돳돴돵돶돷돸돹돺돻돽돾돿됀됁됂됃됄됅됆됇됈됉됊됋됌됍됎됏됑됒됓됔됕됖됗됙됚됛됝됞됟됡됢됣됤됥됦됧됪됬됭됮됯됰됱됲됳됵됶됷됸됹됺됻됼됽됾됿둀둁둂둃둄�\".split(\"\");\nfor(j = 0; j != D[137].length; ++j) if(D[137][j].charCodeAt(0) !== 0xFFFD) { e[D[137][j]] = 35072 + j; d[35072 + j] = D[137][j];}\nD[138] = \"�����������������������������������������������������������������둅둆둇둈둉둊둋둌둍둎둏둒둓둕둖둗둙둚둛둜둝둞둟둢둤둦������둧둨둩둪둫둭둮둯둰둱둲둳둴둵둶둷둸둹둺둻둼둽둾둿뒁뒂������뒃뒄뒅뒆뒇뒉뒊뒋뒌뒍뒎뒏뒐뒑뒒뒓뒔뒕뒖뒗뒘뒙뒚뒛뒜뒞뒟뒠뒡뒢뒣뒥뒦뒧뒩뒪뒫뒭뒮뒯뒰뒱뒲뒳뒴뒶뒸뒺뒻뒼뒽뒾뒿듁듂듃듅듆듇듉듊듋듌듍듎듏듑듒듓듔듖듗듘듙듚듛듞듟듡듢듥듧듨듩듪듫듮듰듲듳듴듵듶듷듹듺듻듼듽듾듿딀딁딂딃딄딅딆딇딈딉딊딋딌딍딎딏딐딑딒딓딖딗딙딚딝�\".split(\"\");\nfor(j = 0; j != D[138].length; ++j) if(D[138][j].charCodeAt(0) !== 0xFFFD) { e[D[138][j]] = 35328 + j; d[35328 + j] = D[138][j];}\nD[139] = \"�����������������������������������������������������������������딞딟딠딡딢딣딦딫딬딭딮딯딲딳딵딶딷딹딺딻딼딽딾딿땂땆������땇땈땉땊땎땏땑땒땓땕땖땗땘땙땚땛땞땢땣땤땥땦땧땨땩땪������땫땬땭땮땯땰땱땲땳땴땵땶땷땸땹땺땻땼땽땾땿떀떁떂떃떄떅떆떇떈떉떊떋떌떍떎떏떐떑떒떓떔떕떖떗떘떙떚떛떜떝떞떟떢떣떥떦떧떩떬떭떮떯떲떶떷떸떹떺떾떿뗁뗂뗃뗅뗆뗇뗈뗉뗊뗋뗎뗒뗓뗔뗕뗖뗗뗙뗚뗛뗜뗝뗞뗟뗠뗡뗢뗣뗤뗥뗦뗧뗨뗩뗪뗫뗭뗮뗯뗰뗱뗲뗳뗴뗵뗶뗷뗸뗹뗺뗻뗼뗽뗾뗿�\".split(\"\");\nfor(j = 0; j != D[139].length; ++j) if(D[139][j].charCodeAt(0) !== 0xFFFD) { e[D[139][j]] = 35584 + j; d[35584 + j] = D[139][j];}\nD[140] = \"�����������������������������������������������������������������똀똁똂똃똄똅똆똇똈똉똊똋똌똍똎똏똒똓똕똖똗똙똚똛똜똝������똞똟똠똡똢똣똤똦똧똨똩똪똫똭똮똯똰똱똲똳똵똶똷똸똹똺������똻똼똽똾똿뙀뙁뙂뙃뙄뙅뙆뙇뙉뙊뙋뙌뙍뙎뙏뙐뙑뙒뙓뙔뙕뙖뙗뙘뙙뙚뙛뙜뙝뙞뙟뙠뙡뙢뙣뙥뙦뙧뙩뙪뙫뙬뙭뙮뙯뙰뙱뙲뙳뙴뙵뙶뙷뙸뙹뙺뙻뙼뙽뙾뙿뚀뚁뚂뚃뚄뚅뚆뚇뚈뚉뚊뚋뚌뚍뚎뚏뚐뚑뚒뚓뚔뚕뚖뚗뚘뚙뚚뚛뚞뚟뚡뚢뚣뚥뚦뚧뚨뚩뚪뚭뚮뚯뚰뚲뚳뚴뚵뚶뚷뚸뚹뚺뚻뚼뚽뚾뚿뛀뛁뛂�\".split(\"\");\nfor(j = 0; j != D[140].length; ++j) if(D[140][j].charCodeAt(0) !== 0xFFFD) { e[D[140][j]] = 35840 + j; d[35840 + j] = D[140][j];}\nD[141] = \"�����������������������������������������������������������������뛃뛄뛅뛆뛇뛈뛉뛊뛋뛌뛍뛎뛏뛐뛑뛒뛓뛕뛖뛗뛘뛙뛚뛛뛜뛝������뛞뛟뛠뛡뛢뛣뛤뛥뛦뛧뛨뛩뛪뛫뛬뛭뛮뛯뛱뛲뛳뛵뛶뛷뛹뛺������뛻뛼뛽뛾뛿뜂뜃뜄뜆뜇뜈뜉뜊뜋뜌뜍뜎뜏뜐뜑뜒뜓뜔뜕뜖뜗뜘뜙뜚뜛뜜뜝뜞뜟뜠뜡뜢뜣뜤뜥뜦뜧뜪뜫뜭뜮뜱뜲뜳뜴뜵뜶뜷뜺뜼뜽뜾뜿띀띁띂띃띅띆띇띉띊띋띍띎띏띐띑띒띓띖띗띘띙띚띛띜띝띞띟띡띢띣띥띦띧띩띪띫띬띭띮띯띲띴띶띷띸띹띺띻띾띿랁랂랃랅랆랇랈랉랊랋랎랓랔랕랚랛랝랞�\".split(\"\");\nfor(j = 0; j != D[141].length; ++j) if(D[141][j].charCodeAt(0) !== 0xFFFD) { e[D[141][j]] = 36096 + j; d[36096 + j] = D[141][j];}\nD[142] = \"�����������������������������������������������������������������랟랡랢랣랤랥랦랧랪랮랯랰랱랲랳랶랷랹랺랻랼랽랾랿럀럁������럂럃럄럅럆럈럊럋럌럍럎럏럐럑럒럓럔럕럖럗럘럙럚럛럜럝������럞럟럠럡럢럣럤럥럦럧럨럩럪럫럮럯럱럲럳럵럶럷럸럹럺럻럾렂렃렄렅렆렊렋렍렎렏렑렒렓렔렕렖렗렚렜렞렟렠렡렢렣렦렧렩렪렫렭렮렯렰렱렲렳렶렺렻렼렽렾렿롁롂롃롅롆롇롈롉롊롋롌롍롎롏롐롒롔롕롖롗롘롙롚롛롞롟롡롢롣롥롦롧롨롩롪롫롮롰롲롳롴롵롶롷롹롺롻롽롾롿뢀뢁뢂뢃뢄�\".split(\"\");\nfor(j = 0; j != D[142].length; ++j) if(D[142][j].charCodeAt(0) !== 0xFFFD) { e[D[142][j]] = 36352 + j; d[36352 + j] = D[142][j];}\nD[143] = \"�����������������������������������������������������������������뢅뢆뢇뢈뢉뢊뢋뢌뢎뢏뢐뢑뢒뢓뢔뢕뢖뢗뢘뢙뢚뢛뢜뢝뢞뢟������뢠뢡뢢뢣뢤뢥뢦뢧뢩뢪뢫뢬뢭뢮뢯뢱뢲뢳뢵뢶뢷뢹뢺뢻뢼뢽������뢾뢿룂룄룆룇룈룉룊룋룍룎룏룑룒룓룕룖룗룘룙룚룛룜룞룠룢룣룤룥룦룧룪룫룭룮룯룱룲룳룴룵룶룷룺룼룾룿뤀뤁뤂뤃뤅뤆뤇뤈뤉뤊뤋뤌뤍뤎뤏뤐뤑뤒뤓뤔뤕뤖뤗뤙뤚뤛뤜뤝뤞뤟뤡뤢뤣뤤뤥뤦뤧뤨뤩뤪뤫뤬뤭뤮뤯뤰뤱뤲뤳뤴뤵뤶뤷뤸뤹뤺뤻뤾뤿륁륂륃륅륆륇륈륉륊륋륍륎륐륒륓륔륕륖륗�\".split(\"\");\nfor(j = 0; j != D[143].length; ++j) if(D[143][j].charCodeAt(0) !== 0xFFFD) { e[D[143][j]] = 36608 + j; d[36608 + j] = D[143][j];}\nD[144] = \"�����������������������������������������������������������������륚륛륝륞륟륡륢륣륤륥륦륧륪륬륮륯륰륱륲륳륶륷륹륺륻륽������륾륿릀릁릂릃릆릈릋릌릏릐릑릒릓릔릕릖릗릘릙릚릛릜릝릞������릟릠릡릢릣릤릥릦릧릨릩릪릫릮릯릱릲릳릵릶릷릸릹릺릻릾맀맂맃맄맅맆맇맊맋맍맓맔맕맖맗맚맜맟맠맢맦맧맩맪맫맭맮맯맰맱맲맳맶맻맼맽맾맿먂먃먄먅먆먇먉먊먋먌먍먎먏먐먑먒먓먔먖먗먘먙먚먛먜먝먞먟먠먡먢먣먤먥먦먧먨먩먪먫먬먭먮먯먰먱먲먳먴먵먶먷먺먻먽먾먿멁멃멄멅멆�\".split(\"\");\nfor(j = 0; j != D[144].length; ++j) if(D[144][j].charCodeAt(0) !== 0xFFFD) { e[D[144][j]] = 36864 + j; d[36864 + j] = D[144][j];}\nD[145] = \"�����������������������������������������������������������������멇멊멌멏멐멑멒멖멗멙멚멛멝멞멟멠멡멢멣멦멪멫멬멭멮멯������멲멳멵멶멷멹멺멻멼멽멾멿몀몁몂몆몈몉몊몋몍몎몏몐몑몒������몓몔몕몖몗몘몙몚몛몜몝몞몟몠몡몢몣몤몥몦몧몪몭몮몯몱몳몴몵몶몷몺몼몾몿뫀뫁뫂뫃뫅뫆뫇뫉뫊뫋뫌뫍뫎뫏뫐뫑뫒뫓뫔뫕뫖뫗뫚뫛뫜뫝뫞뫟뫠뫡뫢뫣뫤뫥뫦뫧뫨뫩뫪뫫뫬뫭뫮뫯뫰뫱뫲뫳뫴뫵뫶뫷뫸뫹뫺뫻뫽뫾뫿묁묂묃묅묆묇묈묉묊묋묌묎묐묒묓묔묕묖묗묙묚묛묝묞묟묡묢묣묤묥묦묧�\".split(\"\");\nfor(j = 0; j != D[145].length; ++j) if(D[145][j].charCodeAt(0) !== 0xFFFD) { e[D[145][j]] = 37120 + j; d[37120 + j] = D[145][j];}\nD[146] = \"�����������������������������������������������������������������묨묪묬묭묮묯묰묱묲묳묷묹묺묿뭀뭁뭂뭃뭆뭈뭊뭋뭌뭎뭑뭒������뭓뭕뭖뭗뭙뭚뭛뭜뭝뭞뭟뭠뭢뭤뭥뭦뭧뭨뭩뭪뭫뭭뭮뭯뭰뭱������뭲뭳뭴뭵뭶뭷뭸뭹뭺뭻뭼뭽뭾뭿뮀뮁뮂뮃뮄뮅뮆뮇뮉뮊뮋뮍뮎뮏뮑뮒뮓뮔뮕뮖뮗뮘뮙뮚뮛뮜뮝뮞뮟뮠뮡뮢뮣뮥뮦뮧뮩뮪뮫뮭뮮뮯뮰뮱뮲뮳뮵뮶뮸뮹뮺뮻뮼뮽뮾뮿믁믂믃믅믆믇믉믊믋믌믍믎믏믑믒믔믕믖믗믘믙믚믛믜믝믞믟믠믡믢믣믤믥믦믧믨믩믪믫믬믭믮믯믰믱믲믳믴믵믶믷믺믻믽믾밁�\".split(\"\");\nfor(j = 0; j != D[146].length; ++j) if(D[146][j].charCodeAt(0) !== 0xFFFD) { e[D[146][j]] = 37376 + j; d[37376 + j] = D[146][j];}\nD[147] = \"�����������������������������������������������������������������밃밄밅밆밇밊밎밐밒밓밙밚밠밡밢밣밦밨밪밫밬밮밯밲밳밵������밶밷밹밺밻밼밽밾밿뱂뱆뱇뱈뱊뱋뱎뱏뱑뱒뱓뱔뱕뱖뱗뱘뱙������뱚뱛뱜뱞뱟뱠뱡뱢뱣뱤뱥뱦뱧뱨뱩뱪뱫뱬뱭뱮뱯뱰뱱뱲뱳뱴뱵뱶뱷뱸뱹뱺뱻뱼뱽뱾뱿벀벁벂벃벆벇벉벊벍벏벐벑벒벓벖벘벛벜벝벞벟벢벣벥벦벩벪벫벬벭벮벯벲벶벷벸벹벺벻벾벿볁볂볃볅볆볇볈볉볊볋볌볎볒볓볔볖볗볙볚볛볝볞볟볠볡볢볣볤볥볦볧볨볩볪볫볬볭볮볯볰볱볲볳볷볹볺볻볽�\".split(\"\");\nfor(j = 0; j != D[147].length; ++j) if(D[147][j].charCodeAt(0) !== 0xFFFD) { e[D[147][j]] = 37632 + j; d[37632 + j] = D[147][j];}\nD[148] = \"�����������������������������������������������������������������볾볿봀봁봂봃봆봈봊봋봌봍봎봏봑봒봓봕봖봗봘봙봚봛봜봝������봞봟봠봡봢봣봥봦봧봨봩봪봫봭봮봯봰봱봲봳봴봵봶봷봸봹������봺봻봼봽봾봿뵁뵂뵃뵄뵅뵆뵇뵊뵋뵍뵎뵏뵑뵒뵓뵔뵕뵖뵗뵚뵛뵜뵝뵞뵟뵠뵡뵢뵣뵥뵦뵧뵩뵪뵫뵬뵭뵮뵯뵰뵱뵲뵳뵴뵵뵶뵷뵸뵹뵺뵻뵼뵽뵾뵿붂붃붅붆붋붌붍붎붏붒붔붖붗붘붛붝붞붟붠붡붢붣붥붦붧붨붩붪붫붬붭붮붯붱붲붳붴붵붶붷붹붺붻붼붽붾붿뷀뷁뷂뷃뷄뷅뷆뷇뷈뷉뷊뷋뷌뷍뷎뷏뷐뷑�\".split(\"\");\nfor(j = 0; j != D[148].length; ++j) if(D[148][j].charCodeAt(0) !== 0xFFFD) { e[D[148][j]] = 37888 + j; d[37888 + j] = D[148][j];}\nD[149] = \"�����������������������������������������������������������������뷒뷓뷖뷗뷙뷚뷛뷝뷞뷟뷠뷡뷢뷣뷤뷥뷦뷧뷨뷪뷫뷬뷭뷮뷯뷱������뷲뷳뷵뷶뷷뷹뷺뷻뷼뷽뷾뷿븁븂븄븆븇븈븉븊븋븎븏븑븒븓������븕븖븗븘븙븚븛븞븠븡븢븣븤븥븦븧븨븩븪븫븬븭븮븯븰븱븲븳븴븵븶븷븸븹븺븻븼븽븾븿빀빁빂빃빆빇빉빊빋빍빏빐빑빒빓빖빘빜빝빞빟빢빣빥빦빧빩빫빬빭빮빯빲빶빷빸빹빺빾빿뺁뺂뺃뺅뺆뺇뺈뺉뺊뺋뺎뺒뺓뺔뺕뺖뺗뺚뺛뺜뺝뺞뺟뺠뺡뺢뺣뺤뺥뺦뺧뺩뺪뺫뺬뺭뺮뺯뺰뺱뺲뺳뺴뺵뺶뺷�\".split(\"\");\nfor(j = 0; j != D[149].length; ++j) if(D[149][j].charCodeAt(0) !== 0xFFFD) { e[D[149][j]] = 38144 + j; d[38144 + j] = D[149][j];}\nD[150] = \"�����������������������������������������������������������������뺸뺹뺺뺻뺼뺽뺾뺿뻀뻁뻂뻃뻄뻅뻆뻇뻈뻉뻊뻋뻌뻍뻎뻏뻒뻓������뻕뻖뻙뻚뻛뻜뻝뻞뻟뻡뻢뻦뻧뻨뻩뻪뻫뻭뻮뻯뻰뻱뻲뻳뻴뻵������뻶뻷뻸뻹뻺뻻뻼뻽뻾뻿뼀뼂뼃뼄뼅뼆뼇뼊뼋뼌뼍뼎뼏뼐뼑뼒뼓뼔뼕뼖뼗뼚뼞뼟뼠뼡뼢뼣뼤뼥뼦뼧뼨뼩뼪뼫뼬뼭뼮뼯뼰뼱뼲뼳뼴뼵뼶뼷뼸뼹뼺뼻뼼뼽뼾뼿뽂뽃뽅뽆뽇뽉뽊뽋뽌뽍뽎뽏뽒뽓뽔뽖뽗뽘뽙뽚뽛뽜뽝뽞뽟뽠뽡뽢뽣뽤뽥뽦뽧뽨뽩뽪뽫뽬뽭뽮뽯뽰뽱뽲뽳뽴뽵뽶뽷뽸뽹뽺뽻뽼뽽뽾뽿뾀뾁뾂�\".split(\"\");\nfor(j = 0; j != D[150].length; ++j) if(D[150][j].charCodeAt(0) !== 0xFFFD) { e[D[150][j]] = 38400 + j; d[38400 + j] = D[150][j];}\nD[151] = \"�����������������������������������������������������������������뾃뾄뾅뾆뾇뾈뾉뾊뾋뾌뾍뾎뾏뾐뾑뾒뾓뾕뾖뾗뾘뾙뾚뾛뾜뾝������뾞뾟뾠뾡뾢뾣뾤뾥뾦뾧뾨뾩뾪뾫뾬뾭뾮뾯뾱뾲뾳뾴뾵뾶뾷뾸������뾹뾺뾻뾼뾽뾾뾿뿀뿁뿂뿃뿄뿆뿇뿈뿉뿊뿋뿎뿏뿑뿒뿓뿕뿖뿗뿘뿙뿚뿛뿝뿞뿠뿢뿣뿤뿥뿦뿧뿨뿩뿪뿫뿬뿭뿮뿯뿰뿱뿲뿳뿴뿵뿶뿷뿸뿹뿺뿻뿼뿽뿾뿿쀀쀁쀂쀃쀄쀅쀆쀇쀈쀉쀊쀋쀌쀍쀎쀏쀐쀑쀒쀓쀔쀕쀖쀗쀘쀙쀚쀛쀜쀝쀞쀟쀠쀡쀢쀣쀤쀥쀦쀧쀨쀩쀪쀫쀬쀭쀮쀯쀰쀱쀲쀳쀴쀵쀶쀷쀸쀹쀺쀻쀽쀾쀿�\".split(\"\");\nfor(j = 0; j != D[151].length; ++j) if(D[151][j].charCodeAt(0) !== 0xFFFD) { e[D[151][j]] = 38656 + j; d[38656 + j] = D[151][j];}\nD[152] = \"�����������������������������������������������������������������쁀쁁쁂쁃쁄쁅쁆쁇쁈쁉쁊쁋쁌쁍쁎쁏쁐쁒쁓쁔쁕쁖쁗쁙쁚쁛������쁝쁞쁟쁡쁢쁣쁤쁥쁦쁧쁪쁫쁬쁭쁮쁯쁰쁱쁲쁳쁴쁵쁶쁷쁸쁹������쁺쁻쁼쁽쁾쁿삀삁삂삃삄삅삆삇삈삉삊삋삌삍삎삏삒삓삕삖삗삙삚삛삜삝삞삟삢삤삦삧삨삩삪삫삮삱삲삷삸삹삺삻삾샂샃샄샆샇샊샋샍샎샏샑샒샓샔샕샖샗샚샞샟샠샡샢샣샦샧샩샪샫샭샮샯샰샱샲샳샶샸샺샻샼샽샾샿섁섂섃섅섆섇섉섊섋섌섍섎섏섑섒섓섔섖섗섘섙섚섛섡섢섥섨섩섪섫섮�\".split(\"\");\nfor(j = 0; j != D[152].length; ++j) if(D[152][j].charCodeAt(0) !== 0xFFFD) { e[D[152][j]] = 38912 + j; d[38912 + j] = D[152][j];}\nD[153] = \"�����������������������������������������������������������������섲섳섴섵섷섺섻섽섾섿셁셂셃셄셅셆셇셊셎셏셐셑셒셓셖셗������셙셚셛셝셞셟셠셡셢셣셦셪셫셬셭셮셯셱셲셳셵셶셷셹셺셻������셼셽셾셿솀솁솂솃솄솆솇솈솉솊솋솏솑솒솓솕솗솘솙솚솛솞솠솢솣솤솦솧솪솫솭솮솯솱솲솳솴솵솶솷솸솹솺솻솼솾솿쇀쇁쇂쇃쇅쇆쇇쇉쇊쇋쇍쇎쇏쇐쇑쇒쇓쇕쇖쇙쇚쇛쇜쇝쇞쇟쇡쇢쇣쇥쇦쇧쇩쇪쇫쇬쇭쇮쇯쇲쇴쇵쇶쇷쇸쇹쇺쇻쇾쇿숁숂숃숅숆숇숈숉숊숋숎숐숒숓숔숕숖숗숚숛숝숞숡숢숣�\".split(\"\");\nfor(j = 0; j != D[153].length; ++j) if(D[153][j].charCodeAt(0) !== 0xFFFD) { e[D[153][j]] = 39168 + j; d[39168 + j] = D[153][j];}\nD[154] = \"�����������������������������������������������������������������숤숥숦숧숪숬숮숰숳숵숶숷숸숹숺숻숼숽숾숿쉀쉁쉂쉃쉄쉅������쉆쉇쉉쉊쉋쉌쉍쉎쉏쉒쉓쉕쉖쉗쉙쉚쉛쉜쉝쉞쉟쉡쉢쉣쉤쉦������쉧쉨쉩쉪쉫쉮쉯쉱쉲쉳쉵쉶쉷쉸쉹쉺쉻쉾슀슂슃슄슅슆슇슊슋슌슍슎슏슑슒슓슔슕슖슗슙슚슜슞슟슠슡슢슣슦슧슩슪슫슮슯슰슱슲슳슶슸슺슻슼슽슾슿싀싁싂싃싄싅싆싇싈싉싊싋싌싍싎싏싐싑싒싓싔싕싖싗싘싙싚싛싞싟싡싢싥싦싧싨싩싪싮싰싲싳싴싵싷싺싽싾싿쌁쌂쌃쌄쌅쌆쌇쌊쌋쌎쌏�\".split(\"\");\nfor(j = 0; j != D[154].length; ++j) if(D[154][j].charCodeAt(0) !== 0xFFFD) { e[D[154][j]] = 39424 + j; d[39424 + j] = D[154][j];}\nD[155] = \"�����������������������������������������������������������������쌐쌑쌒쌖쌗쌙쌚쌛쌝쌞쌟쌠쌡쌢쌣쌦쌧쌪쌫쌬쌭쌮쌯쌰쌱쌲������쌳쌴쌵쌶쌷쌸쌹쌺쌻쌼쌽쌾쌿썀썁썂썃썄썆썇썈썉썊썋썌썍������썎썏썐썑썒썓썔썕썖썗썘썙썚썛썜썝썞썟썠썡썢썣썤썥썦썧썪썫썭썮썯썱썳썴썵썶썷썺썻썾썿쎀쎁쎂쎃쎅쎆쎇쎉쎊쎋쎍쎎쎏쎐쎑쎒쎓쎔쎕쎖쎗쎘쎙쎚쎛쎜쎝쎞쎟쎠쎡쎢쎣쎤쎥쎦쎧쎨쎩쎪쎫쎬쎭쎮쎯쎰쎱쎲쎳쎴쎵쎶쎷쎸쎹쎺쎻쎼쎽쎾쎿쏁쏂쏃쏄쏅쏆쏇쏈쏉쏊쏋쏌쏍쏎쏏쏐쏑쏒쏓쏔쏕쏖쏗쏚�\".split(\"\");\nfor(j = 0; j != D[155].length; ++j) if(D[155][j].charCodeAt(0) !== 0xFFFD) { e[D[155][j]] = 39680 + j; d[39680 + j] = D[155][j];}\nD[156] = \"�����������������������������������������������������������������쏛쏝쏞쏡쏣쏤쏥쏦쏧쏪쏫쏬쏮쏯쏰쏱쏲쏳쏶쏷쏹쏺쏻쏼쏽쏾������쏿쐀쐁쐂쐃쐄쐅쐆쐇쐉쐊쐋쐌쐍쐎쐏쐑쐒쐓쐔쐕쐖쐗쐘쐙쐚������쐛쐜쐝쐞쐟쐠쐡쐢쐣쐥쐦쐧쐨쐩쐪쐫쐭쐮쐯쐱쐲쐳쐵쐶쐷쐸쐹쐺쐻쐾쐿쑀쑁쑂쑃쑄쑅쑆쑇쑉쑊쑋쑌쑍쑎쑏쑐쑑쑒쑓쑔쑕쑖쑗쑘쑙쑚쑛쑜쑝쑞쑟쑠쑡쑢쑣쑦쑧쑩쑪쑫쑭쑮쑯쑰쑱쑲쑳쑶쑷쑸쑺쑻쑼쑽쑾쑿쒁쒂쒃쒄쒅쒆쒇쒈쒉쒊쒋쒌쒍쒎쒏쒐쒑쒒쒓쒕쒖쒗쒘쒙쒚쒛쒝쒞쒟쒠쒡쒢쒣쒤쒥쒦쒧쒨쒩�\".split(\"\");\nfor(j = 0; j != D[156].length; ++j) if(D[156][j].charCodeAt(0) !== 0xFFFD) { e[D[156][j]] = 39936 + j; d[39936 + j] = D[156][j];}\nD[157] = \"�����������������������������������������������������������������쒪쒫쒬쒭쒮쒯쒰쒱쒲쒳쒴쒵쒶쒷쒹쒺쒻쒽쒾쒿쓀쓁쓂쓃쓄쓅������쓆쓇쓈쓉쓊쓋쓌쓍쓎쓏쓐쓑쓒쓓쓔쓕쓖쓗쓘쓙쓚쓛쓜쓝쓞쓟������쓠쓡쓢쓣쓤쓥쓦쓧쓨쓪쓫쓬쓭쓮쓯쓲쓳쓵쓶쓷쓹쓻쓼쓽쓾씂씃씄씅씆씇씈씉씊씋씍씎씏씑씒씓씕씖씗씘씙씚씛씝씞씟씠씡씢씣씤씥씦씧씪씫씭씮씯씱씲씳씴씵씶씷씺씼씾씿앀앁앂앃앆앇앋앏앐앑앒앖앚앛앜앟앢앣앥앦앧앩앪앫앬앭앮앯앲앶앷앸앹앺앻앾앿얁얂얃얅얆얈얉얊얋얎얐얒얓얔�\".split(\"\");\nfor(j = 0; j != D[157].length; ++j) if(D[157][j].charCodeAt(0) !== 0xFFFD) { e[D[157][j]] = 40192 + j; d[40192 + j] = D[157][j];}\nD[158] = \"�����������������������������������������������������������������얖얙얚얛얝얞얟얡얢얣얤얥얦얧얨얪얫얬얭얮얯얰얱얲얳얶������얷얺얿엀엁엂엃엋엍엏엒엓엕엖엗엙엚엛엜엝엞엟엢엤엦엧������엨엩엪엫엯엱엲엳엵엸엹엺엻옂옃옄옉옊옋옍옎옏옑옒옓옔옕옖옗옚옝옞옟옠옡옢옣옦옧옩옪옫옯옱옲옶옸옺옼옽옾옿왂왃왅왆왇왉왊왋왌왍왎왏왒왖왗왘왙왚왛왞왟왡왢왣왤왥왦왧왨왩왪왫왭왮왰왲왳왴왵왶왷왺왻왽왾왿욁욂욃욄욅욆욇욊욌욎욏욐욑욒욓욖욗욙욚욛욝욞욟욠욡욢욣욦�\".split(\"\");\nfor(j = 0; j != D[158].length; ++j) if(D[158][j].charCodeAt(0) !== 0xFFFD) { e[D[158][j]] = 40448 + j; d[40448 + j] = D[158][j];}\nD[159] = \"�����������������������������������������������������������������욨욪욫욬욭욮욯욲욳욵욶욷욻욼욽욾욿웂웄웆웇웈웉웊웋웎������웏웑웒웓웕웖웗웘웙웚웛웞웟웢웣웤웥웦웧웪웫웭웮웯웱웲������웳웴웵웶웷웺웻웼웾웿윀윁윂윃윆윇윉윊윋윍윎윏윐윑윒윓윖윘윚윛윜윝윞윟윢윣윥윦윧윩윪윫윬윭윮윯윲윴윶윸윹윺윻윾윿읁읂읃읅읆읇읈읉읋읎읐읙읚읛읝읞읟읡읢읣읤읥읦읧읩읪읬읭읮읯읰읱읲읳읶읷읹읺읻읿잀잁잂잆잋잌잍잏잒잓잕잙잛잜잝잞잟잢잧잨잩잪잫잮잯잱잲잳잵잶잷�\".split(\"\");\nfor(j = 0; j != D[159].length; ++j) if(D[159][j].charCodeAt(0) !== 0xFFFD) { e[D[159][j]] = 40704 + j; d[40704 + j] = D[159][j];}\nD[160] = \"�����������������������������������������������������������������잸잹잺잻잾쟂쟃쟄쟅쟆쟇쟊쟋쟍쟏쟑쟒쟓쟔쟕쟖쟗쟙쟚쟛쟜������쟞쟟쟠쟡쟢쟣쟥쟦쟧쟩쟪쟫쟭쟮쟯쟰쟱쟲쟳쟴쟵쟶쟷쟸쟹쟺������쟻쟼쟽쟾쟿젂젃젅젆젇젉젋젌젍젎젏젒젔젗젘젙젚젛젞젟젡젢젣젥젦젧젨젩젪젫젮젰젲젳젴젵젶젷젹젺젻젽젾젿졁졂졃졄졅졆졇졊졋졎졏졐졑졒졓졕졖졗졘졙졚졛졜졝졞졟졠졡졢졣졤졥졦졧졨졩졪졫졬졭졮졯졲졳졵졶졷졹졻졼졽졾졿좂좄좈좉좊좎좏좐좑좒좓좕좖좗좘좙좚좛좜좞좠좢좣좤�\".split(\"\");\nfor(j = 0; j != D[160].length; ++j) if(D[160][j].charCodeAt(0) !== 0xFFFD) { e[D[160][j]] = 40960 + j; d[40960 + j] = D[160][j];}\nD[161] = \"�����������������������������������������������������������������좥좦좧좩좪좫좬좭좮좯좰좱좲좳좴좵좶좷좸좹좺좻좾좿죀죁������죂죃죅죆죇죉죊죋죍죎죏죐죑죒죓죖죘죚죛죜죝죞죟죢죣죥������죦죧죨죩죪죫죬죭죮죯죰죱죲죳죴죶죷죸죹죺죻죾죿줁줂줃줇줈줉줊줋줎　、。·‥…¨〃­―∥＼∼‘’“”〔〕〈〉《》「」『』【】±×÷≠≤≥∞∴°′″℃Å￠￡￥♂♀∠⊥⌒∂∇≡≒§※☆★○●◎◇◆□■△▲▽▼→←↑↓↔〓≪≫√∽∝∵∫∬∈∋⊆⊇⊂⊃∪∩∧∨￢�\".split(\"\");\nfor(j = 0; j != D[161].length; ++j) if(D[161][j].charCodeAt(0) !== 0xFFFD) { e[D[161][j]] = 41216 + j; d[41216 + j] = D[161][j];}\nD[162] = \"�����������������������������������������������������������������줐줒줓줔줕줖줗줙줚줛줜줝줞줟줠줡줢줣줤줥줦줧줨줩줪줫������줭줮줯줰줱줲줳줵줶줷줸줹줺줻줼줽줾줿쥀쥁쥂쥃쥄쥅쥆쥇������쥈쥉쥊쥋쥌쥍쥎쥏쥒쥓쥕쥖쥗쥙쥚쥛쥜쥝쥞쥟쥢쥤쥥쥦쥧쥨쥩쥪쥫쥭쥮쥯⇒⇔∀∃´～ˇ˘˝˚˙¸˛¡¿ː∮∑∏¤℉‰◁◀▷▶♤♠♡♥♧♣⊙◈▣◐◑▒▤▥▨▧▦▩♨☏☎☜☞¶†‡↕↗↙↖↘♭♩♪♬㉿㈜№㏇™㏂㏘℡€®������������������������\".split(\"\");\nfor(j = 0; j != D[162].length; ++j) if(D[162][j].charCodeAt(0) !== 0xFFFD) { e[D[162][j]] = 41472 + j; d[41472 + j] = D[162][j];}\nD[163] = \"�����������������������������������������������������������������쥱쥲쥳쥵쥶쥷쥸쥹쥺쥻쥽쥾쥿즀즁즂즃즄즅즆즇즊즋즍즎즏������즑즒즓즔즕즖즗즚즜즞즟즠즡즢즣즤즥즦즧즨즩즪즫즬즭즮������즯즰즱즲즳즴즵즶즷즸즹즺즻즼즽즾즿짂짃짅짆짉짋짌짍짎짏짒짔짗짘짛！＂＃＄％＆＇（）＊＋，－．／０１２３４５６７８９：；＜＝＞？＠ＡＢＣＤＥＦＧＨＩＪＫＬＭＮＯＰＱＲＳＴＵＶＷＸＹＺ［￦］＾＿｀ａｂｃｄｅｆｇｈｉｊｋｌｍｎｏｐｑｒｓｔｕｖｗｘｙｚ｛｜｝￣�\".split(\"\");\nfor(j = 0; j != D[163].length; ++j) if(D[163][j].charCodeAt(0) !== 0xFFFD) { e[D[163][j]] = 41728 + j; d[41728 + j] = D[163][j];}\nD[164] = \"�����������������������������������������������������������������짞짟짡짣짥짦짨짩짪짫짮짲짳짴짵짶짷짺짻짽짾짿쨁쨂쨃쨄������쨅쨆쨇쨊쨎쨏쨐쨑쨒쨓쨕쨖쨗쨙쨚쨛쨜쨝쨞쨟쨠쨡쨢쨣쨤쨥������쨦쨧쨨쨪쨫쨬쨭쨮쨯쨰쨱쨲쨳쨴쨵쨶쨷쨸쨹쨺쨻쨼쨽쨾쨿쩀쩁쩂쩃쩄쩅쩆ㄱㄲㄳㄴㄵㄶㄷㄸㄹㄺㄻㄼㄽㄾㄿㅀㅁㅂㅃㅄㅅㅆㅇㅈㅉㅊㅋㅌㅍㅎㅏㅐㅑㅒㅓㅔㅕㅖㅗㅘㅙㅚㅛㅜㅝㅞㅟㅠㅡㅢㅣㅤㅥㅦㅧㅨㅩㅪㅫㅬㅭㅮㅯㅰㅱㅲㅳㅴㅵㅶㅷㅸㅹㅺㅻㅼㅽㅾㅿㆀㆁㆂㆃㆄㆅㆆㆇㆈㆉㆊㆋㆌㆍㆎ�\".split(\"\");\nfor(j = 0; j != D[164].length; ++j) if(D[164][j].charCodeAt(0) !== 0xFFFD) { e[D[164][j]] = 41984 + j; d[41984 + j] = D[164][j];}\nD[165] = \"�����������������������������������������������������������������쩇쩈쩉쩊쩋쩎쩏쩑쩒쩓쩕쩖쩗쩘쩙쩚쩛쩞쩢쩣쩤쩥쩦쩧쩩쩪������쩫쩬쩭쩮쩯쩰쩱쩲쩳쩴쩵쩶쩷쩸쩹쩺쩻쩼쩾쩿쪀쪁쪂쪃쪅쪆������쪇쪈쪉쪊쪋쪌쪍쪎쪏쪐쪑쪒쪓쪔쪕쪖쪗쪙쪚쪛쪜쪝쪞쪟쪠쪡쪢쪣쪤쪥쪦쪧ⅰⅱⅲⅳⅴⅵⅶⅷⅸⅹ�����ⅠⅡⅢⅣⅤⅥⅦⅧⅨⅩ�������ΑΒΓΔΕΖΗΘΙΚΛΜΝΞΟΠΡΣΤΥΦΧΨΩ��������αβγδεζηθικλμνξοπρστυφχψω�������\".split(\"\");\nfor(j = 0; j != D[165].length; ++j) if(D[165][j].charCodeAt(0) !== 0xFFFD) { e[D[165][j]] = 42240 + j; d[42240 + j] = D[165][j];}\nD[166] = \"�����������������������������������������������������������������쪨쪩쪪쪫쪬쪭쪮쪯쪰쪱쪲쪳쪴쪵쪶쪷쪸쪹쪺쪻쪾쪿쫁쫂쫃쫅������쫆쫇쫈쫉쫊쫋쫎쫐쫒쫔쫕쫖쫗쫚쫛쫜쫝쫞쫟쫡쫢쫣쫤쫥쫦쫧������쫨쫩쫪쫫쫭쫮쫯쫰쫱쫲쫳쫵쫶쫷쫸쫹쫺쫻쫼쫽쫾쫿쬀쬁쬂쬃쬄쬅쬆쬇쬉쬊─│┌┐┘└├┬┤┴┼━┃┏┓┛┗┣┳┫┻╋┠┯┨┷┿┝┰┥┸╂┒┑┚┙┖┕┎┍┞┟┡┢┦┧┩┪┭┮┱┲┵┶┹┺┽┾╀╁╃╄╅╆╇╈╉╊���������������������������\".split(\"\");\nfor(j = 0; j != D[166].length; ++j) if(D[166][j].charCodeAt(0) !== 0xFFFD) { e[D[166][j]] = 42496 + j; d[42496 + j] = D[166][j];}\nD[167] = \"�����������������������������������������������������������������쬋쬌쬍쬎쬏쬑쬒쬓쬕쬖쬗쬙쬚쬛쬜쬝쬞쬟쬢쬣쬤쬥쬦쬧쬨쬩������쬪쬫쬬쬭쬮쬯쬰쬱쬲쬳쬴쬵쬶쬷쬸쬹쬺쬻쬼쬽쬾쬿쭀쭂쭃쭄������쭅쭆쭇쭊쭋쭍쭎쭏쭑쭒쭓쭔쭕쭖쭗쭚쭛쭜쭞쭟쭠쭡쭢쭣쭥쭦쭧쭨쭩쭪쭫쭬㎕㎖㎗ℓ㎘㏄㎣㎤㎥㎦㎙㎚㎛㎜㎝㎞㎟㎠㎡㎢㏊㎍㎎㎏㏏㎈㎉㏈㎧㎨㎰㎱㎲㎳㎴㎵㎶㎷㎸㎹㎀㎁㎂㎃㎄㎺㎻㎼㎽㎾㎿㎐㎑㎒㎓㎔Ω㏀㏁㎊㎋㎌㏖㏅㎭㎮㎯㏛㎩㎪㎫㎬㏝㏐㏓㏃㏉㏜㏆����������������\".split(\"\");\nfor(j = 0; j != D[167].length; ++j) if(D[167][j].charCodeAt(0) !== 0xFFFD) { e[D[167][j]] = 42752 + j; d[42752 + j] = D[167][j];}\nD[168] = \"�����������������������������������������������������������������쭭쭮쭯쭰쭱쭲쭳쭴쭵쭶쭷쭺쭻쭼쭽쭾쭿쮀쮁쮂쮃쮄쮅쮆쮇쮈������쮉쮊쮋쮌쮍쮎쮏쮐쮑쮒쮓쮔쮕쮖쮗쮘쮙쮚쮛쮝쮞쮟쮠쮡쮢쮣������쮤쮥쮦쮧쮨쮩쮪쮫쮬쮭쮮쮯쮰쮱쮲쮳쮴쮵쮶쮷쮹쮺쮻쮼쮽쮾쮿쯀쯁쯂쯃쯄ÆЪĦ�IJ�ĿŁØŒºÞŦŊ�㉠㉡㉢㉣㉤㉥㉦㉧㉨㉩㉪㉫㉬㉭㉮㉯㉰㉱㉲㉳㉴㉵㉶㉷㉸㉹㉺㉻ⓐⓑⓒⓓⓔⓕⓖⓗⓘⓙⓚⓛⓜⓝⓞⓟⓠⓡⓢⓣⓤⓥⓦⓧⓨⓩ①②③④⑤⑥⑦⑧⑨⑩⑪⑫⑬⑭⑮½⅓⅔¼¾⅛⅜⅝⅞�\".split(\"\");\nfor(j = 0; j != D[168].length; ++j) if(D[168][j].charCodeAt(0) !== 0xFFFD) { e[D[168][j]] = 43008 + j; d[43008 + j] = D[168][j];}\nD[169] = \"�����������������������������������������������������������������쯅쯆쯇쯈쯉쯊쯋쯌쯍쯎쯏쯐쯑쯒쯓쯕쯖쯗쯘쯙쯚쯛쯜쯝쯞쯟������쯠쯡쯢쯣쯥쯦쯨쯪쯫쯬쯭쯮쯯쯰쯱쯲쯳쯴쯵쯶쯷쯸쯹쯺쯻쯼������쯽쯾쯿찀찁찂찃찄찅찆찇찈찉찊찋찎찏찑찒찓찕찖찗찘찙찚찛찞찟찠찣찤æđðħıijĸŀłøœßþŧŋʼn㈀㈁㈂㈃㈄㈅㈆㈇㈈㈉㈊㈋㈌㈍㈎㈏㈐㈑㈒㈓㈔㈕㈖㈗㈘㈙㈚㈛⒜⒝⒞⒟⒠⒡⒢⒣⒤⒥⒦⒧⒨⒩⒪⒫⒬⒭⒮⒯⒰⒱⒲⒳⒴⒵⑴⑵⑶⑷⑸⑹⑺⑻⑼⑽⑾⑿⒀⒁⒂¹²³⁴ⁿ₁₂₃₄�\".split(\"\");\nfor(j = 0; j != D[169].length; ++j) if(D[169][j].charCodeAt(0) !== 0xFFFD) { e[D[169][j]] = 43264 + j; d[43264 + j] = D[169][j];}\nD[170] = \"�����������������������������������������������������������������찥찦찪찫찭찯찱찲찳찴찵찶찷찺찿챀챁챂챃챆챇챉챊챋챍챎������챏챐챑챒챓챖챚챛챜챝챞챟챡챢챣챥챧챩챪챫챬챭챮챯챱챲������챳챴챶챷챸챹챺챻챼챽챾챿첀첁첂첃첄첅첆첇첈첉첊첋첌첍첎첏첐첑첒첓ぁあぃいぅうぇえぉおかがきぎくぐけげこごさざしじすずせぜそぞただちぢっつづてでとどなにぬねのはばぱひびぴふぶぷへべぺほぼぽまみむめもゃやゅゆょよらりるれろゎわゐゑをん������������\".split(\"\");\nfor(j = 0; j != D[170].length; ++j) if(D[170][j].charCodeAt(0) !== 0xFFFD) { e[D[170][j]] = 43520 + j; d[43520 + j] = D[170][j];}\nD[171] = \"�����������������������������������������������������������������첔첕첖첗첚첛첝첞첟첡첢첣첤첥첦첧첪첮첯첰첱첲첳첶첷첹������첺첻첽첾첿쳀쳁쳂쳃쳆쳈쳊쳋쳌쳍쳎쳏쳑쳒쳓쳕쳖쳗쳘쳙쳚������쳛쳜쳝쳞쳟쳠쳡쳢쳣쳥쳦쳧쳨쳩쳪쳫쳭쳮쳯쳱쳲쳳쳴쳵쳶쳷쳸쳹쳺쳻쳼쳽ァアィイゥウェエォオカガキギクグケゲコゴサザシジスズセゼソゾタダチヂッツヅテデトドナニヌネノハバパヒビピフブプヘベペホボポマミムメモャヤュユョヨラリルレロヮワヰヱヲンヴヵヶ���������\".split(\"\");\nfor(j = 0; j != D[171].length; ++j) if(D[171][j].charCodeAt(0) !== 0xFFFD) { e[D[171][j]] = 43776 + j; d[43776 + j] = D[171][j];}\nD[172] = \"�����������������������������������������������������������������쳾쳿촀촂촃촄촅촆촇촊촋촍촎촏촑촒촓촔촕촖촗촚촜촞촟촠������촡촢촣촥촦촧촩촪촫촭촮촯촰촱촲촳촴촵촶촷촸촺촻촼촽촾������촿쵀쵁쵂쵃쵄쵅쵆쵇쵈쵉쵊쵋쵌쵍쵎쵏쵐쵑쵒쵓쵔쵕쵖쵗쵘쵙쵚쵛쵝쵞쵟АБВГДЕЁЖЗИЙКЛМНОПРСТУФХЦЧШЩЪЫЬЭЮЯ���������������абвгдеёжзийклмнопрстуфхцчшщъыьэюя��������������\".split(\"\");\nfor(j = 0; j != D[172].length; ++j) if(D[172][j].charCodeAt(0) !== 0xFFFD) { e[D[172][j]] = 44032 + j; d[44032 + j] = D[172][j];}\nD[173] = \"�����������������������������������������������������������������쵡쵢쵣쵥쵦쵧쵨쵩쵪쵫쵮쵰쵲쵳쵴쵵쵶쵷쵹쵺쵻쵼쵽쵾쵿춀������춁춂춃춄춅춆춇춉춊춋춌춍춎춏춐춑춒춓춖춗춙춚춛춝춞춟������춠춡춢춣춦춨춪춫춬춭춮춯춱춲춳춴춵춶춷춸춹춺춻춼춽춾춿췀췁췂췃췅�����������������������������������������������������������������������������������������������\".split(\"\");\nfor(j = 0; j != D[173].length; ++j) if(D[173][j].charCodeAt(0) !== 0xFFFD) { e[D[173][j]] = 44288 + j; d[44288 + j] = D[173][j];}\nD[174] = \"�����������������������������������������������������������������췆췇췈췉췊췋췍췎췏췑췒췓췔췕췖췗췘췙췚췛췜췝췞췟췠췡������췢췣췤췥췦췧췩췪췫췭췮췯췱췲췳췴췵췶췷췺췼췾췿츀츁츂������츃츅츆츇츉츊츋츍츎츏츐츑츒츓츕츖츗츘츚츛츜츝츞츟츢츣츥츦츧츩츪츫�����������������������������������������������������������������������������������������������\".split(\"\");\nfor(j = 0; j != D[174].length; ++j) if(D[174][j].charCodeAt(0) !== 0xFFFD) { e[D[174][j]] = 44544 + j; d[44544 + j] = D[174][j];}\nD[175] = \"�����������������������������������������������������������������츬츭츮츯츲츴츶츷츸츹츺츻츼츽츾츿칀칁칂칃칄칅칆칇칈칉������칊칋칌칍칎칏칐칑칒칓칔칕칖칗칚칛칝칞칢칣칤칥칦칧칪칬������칮칯칰칱칲칳칶칷칹칺칻칽칾칿캀캁캂캃캆캈캊캋캌캍캎캏캒캓캕캖캗캙�����������������������������������������������������������������������������������������������\".split(\"\");\nfor(j = 0; j != D[175].length; ++j) if(D[175][j].charCodeAt(0) !== 0xFFFD) { e[D[175][j]] = 44800 + j; d[44800 + j] = D[175][j];}\nD[176] = \"�����������������������������������������������������������������캚캛캜캝캞캟캢캦캧캨캩캪캫캮캯캰캱캲캳캴캵캶캷캸캹캺������캻캼캽캾캿컀컂컃컄컅컆컇컈컉컊컋컌컍컎컏컐컑컒컓컔컕������컖컗컘컙컚컛컜컝컞컟컠컡컢컣컦컧컩컪컭컮컯컰컱컲컳컶컺컻컼컽컾컿가각간갇갈갉갊감갑값갓갔강갖갗같갚갛개객갠갤갬갭갯갰갱갸갹갼걀걋걍걔걘걜거걱건걷걸걺검겁것겄겅겆겉겊겋게겐겔겜겝겟겠겡겨격겪견겯결겸겹겻겼경곁계곈곌곕곗고곡곤곧골곪곬곯곰곱곳공곶과곽관괄괆�\".split(\"\");\nfor(j = 0; j != D[176].length; ++j) if(D[176][j].charCodeAt(0) !== 0xFFFD) { e[D[176][j]] = 45056 + j; d[45056 + j] = D[176][j];}\nD[177] = \"�����������������������������������������������������������������켂켃켅켆켇켉켊켋켌켍켎켏켒켔켖켗켘켙켚켛켝켞켟켡켢켣������켥켦켧켨켩켪켫켮켲켳켴켵켶켷켹켺켻켼켽켾켿콀콁콂콃콄������콅콆콇콈콉콊콋콌콍콎콏콐콑콒콓콖콗콙콚콛콝콞콟콠콡콢콣콦콨콪콫콬괌괍괏광괘괜괠괩괬괭괴괵괸괼굄굅굇굉교굔굘굡굣구국군굳굴굵굶굻굼굽굿궁궂궈궉권궐궜궝궤궷귀귁귄귈귐귑귓규균귤그극근귿글긁금급긋긍긔기긱긴긷길긺김깁깃깅깆깊까깍깎깐깔깖깜깝깟깠깡깥깨깩깬깰깸�\".split(\"\");\nfor(j = 0; j != D[177].length; ++j) if(D[177][j].charCodeAt(0) !== 0xFFFD) { e[D[177][j]] = 45312 + j; d[45312 + j] = D[177][j];}\nD[178] = \"�����������������������������������������������������������������콭콮콯콲콳콵콶콷콹콺콻콼콽콾콿쾁쾂쾃쾄쾆쾇쾈쾉쾊쾋쾍������쾎쾏쾐쾑쾒쾓쾔쾕쾖쾗쾘쾙쾚쾛쾜쾝쾞쾟쾠쾢쾣쾤쾥쾦쾧쾩������쾪쾫쾬쾭쾮쾯쾱쾲쾳쾴쾵쾶쾷쾸쾹쾺쾻쾼쾽쾾쾿쿀쿁쿂쿃쿅쿆쿇쿈쿉쿊쿋깹깻깼깽꺄꺅꺌꺼꺽꺾껀껄껌껍껏껐껑께껙껜껨껫껭껴껸껼꼇꼈꼍꼐꼬꼭꼰꼲꼴꼼꼽꼿꽁꽂꽃꽈꽉꽐꽜꽝꽤꽥꽹꾀꾄꾈꾐꾑꾕꾜꾸꾹꾼꿀꿇꿈꿉꿋꿍꿎꿔꿜꿨꿩꿰꿱꿴꿸뀀뀁뀄뀌뀐뀔뀜뀝뀨끄끅끈끊끌끎끓끔끕끗끙�\".split(\"\");\nfor(j = 0; j != D[178].length; ++j) if(D[178][j].charCodeAt(0) !== 0xFFFD) { e[D[178][j]] = 45568 + j; d[45568 + j] = D[178][j];}\nD[179] = \"�����������������������������������������������������������������쿌쿍쿎쿏쿐쿑쿒쿓쿔쿕쿖쿗쿘쿙쿚쿛쿜쿝쿞쿟쿢쿣쿥쿦쿧쿩������쿪쿫쿬쿭쿮쿯쿲쿴쿶쿷쿸쿹쿺쿻쿽쿾쿿퀁퀂퀃퀅퀆퀇퀈퀉퀊������퀋퀌퀍퀎퀏퀐퀒퀓퀔퀕퀖퀗퀙퀚퀛퀜퀝퀞퀟퀠퀡퀢퀣퀤퀥퀦퀧퀨퀩퀪퀫퀬끝끼끽낀낄낌낍낏낑나낙낚난낟날낡낢남납낫났낭낮낯낱낳내낵낸낼냄냅냇냈냉냐냑냔냘냠냥너넉넋넌널넒넓넘넙넛넜넝넣네넥넨넬넴넵넷넸넹녀녁년녈념녑녔녕녘녜녠노녹논놀놂놈놉놋농높놓놔놘놜놨뇌뇐뇔뇜뇝�\".split(\"\");\nfor(j = 0; j != D[179].length; ++j) if(D[179][j].charCodeAt(0) !== 0xFFFD) { e[D[179][j]] = 45824 + j; d[45824 + j] = D[179][j];}\nD[180] = \"�����������������������������������������������������������������퀮퀯퀰퀱퀲퀳퀶퀷퀹퀺퀻퀽퀾퀿큀큁큂큃큆큈큊큋큌큍큎큏������큑큒큓큕큖큗큙큚큛큜큝큞큟큡큢큣큤큥큦큧큨큩큪큫큮큯������큱큲큳큵큶큷큸큹큺큻큾큿킀킂킃킄킅킆킇킈킉킊킋킌킍킎킏킐킑킒킓킔뇟뇨뇩뇬뇰뇹뇻뇽누눅눈눋눌눔눕눗눙눠눴눼뉘뉜뉠뉨뉩뉴뉵뉼늄늅늉느늑는늘늙늚늠늡늣능늦늪늬늰늴니닉닌닐닒님닙닛닝닢다닥닦단닫달닭닮닯닳담답닷닸당닺닻닿대댁댄댈댐댑댓댔댕댜더덕덖던덛덜덞덟덤덥�\".split(\"\");\nfor(j = 0; j != D[180].length; ++j) if(D[180][j].charCodeAt(0) !== 0xFFFD) { e[D[180][j]] = 46080 + j; d[46080 + j] = D[180][j];}\nD[181] = \"�����������������������������������������������������������������킕킖킗킘킙킚킛킜킝킞킟킠킡킢킣킦킧킩킪킫킭킮킯킰킱킲������킳킶킸킺킻킼킽킾킿탂탃탅탆탇탊탋탌탍탎탏탒탖탗탘탙탚������탛탞탟탡탢탣탥탦탧탨탩탪탫탮탲탳탴탵탶탷탹탺탻탼탽탾탿턀턁턂턃턄덧덩덫덮데덱덴델뎀뎁뎃뎄뎅뎌뎐뎔뎠뎡뎨뎬도독돈돋돌돎돐돔돕돗동돛돝돠돤돨돼됐되된될됨됩됫됴두둑둔둘둠둡둣둥둬뒀뒈뒝뒤뒨뒬뒵뒷뒹듀듄듈듐듕드득든듣들듦듬듭듯등듸디딕딘딛딜딤딥딧딨딩딪따딱딴딸�\".split(\"\");\nfor(j = 0; j != D[181].length; ++j) if(D[181][j].charCodeAt(0) !== 0xFFFD) { e[D[181][j]] = 46336 + j; d[46336 + j] = D[181][j];}\nD[182] = \"�����������������������������������������������������������������턅턆턇턈턉턊턋턌턎턏턐턑턒턓턔턕턖턗턘턙턚턛턜턝턞턟������턠턡턢턣턤턥턦턧턨턩턪턫턬턭턮턯턲턳턵턶턷턹턻턼턽턾������턿텂텆텇텈텉텊텋텎텏텑텒텓텕텖텗텘텙텚텛텞텠텢텣텤텥텦텧텩텪텫텭땀땁땃땄땅땋때땍땐땔땜땝땟땠땡떠떡떤떨떪떫떰떱떳떴떵떻떼떽뗀뗄뗌뗍뗏뗐뗑뗘뗬또똑똔똘똥똬똴뙈뙤뙨뚜뚝뚠뚤뚫뚬뚱뛔뛰뛴뛸뜀뜁뜅뜨뜩뜬뜯뜰뜸뜹뜻띄띈띌띔띕띠띤띨띰띱띳띵라락란랄람랍랏랐랑랒랖랗�\".split(\"\");\nfor(j = 0; j != D[182].length; ++j) if(D[182][j].charCodeAt(0) !== 0xFFFD) { e[D[182][j]] = 46592 + j; d[46592 + j] = D[182][j];}\nD[183] = \"�����������������������������������������������������������������텮텯텰텱텲텳텴텵텶텷텸텹텺텻텽텾텿톀톁톂톃톅톆톇톉톊������톋톌톍톎톏톐톑톒톓톔톕톖톗톘톙톚톛톜톝톞톟톢톣톥톦톧������톩톪톫톬톭톮톯톲톴톶톷톸톹톻톽톾톿퇁퇂퇃퇄퇅퇆퇇퇈퇉퇊퇋퇌퇍퇎퇏래랙랜랠램랩랫랬랭랴략랸럇량러럭런럴럼럽럿렀렁렇레렉렌렐렘렙렛렝려력련렬렴렵렷렸령례롄롑롓로록론롤롬롭롯롱롸롼뢍뢨뢰뢴뢸룀룁룃룅료룐룔룝룟룡루룩룬룰룸룹룻룽뤄뤘뤠뤼뤽륀륄륌륏륑류륙륜률륨륩�\".split(\"\");\nfor(j = 0; j != D[183].length; ++j) if(D[183][j].charCodeAt(0) !== 0xFFFD) { e[D[183][j]] = 46848 + j; d[46848 + j] = D[183][j];}\nD[184] = \"�����������������������������������������������������������������퇐퇑퇒퇓퇔퇕퇖퇗퇙퇚퇛퇜퇝퇞퇟퇠퇡퇢퇣퇤퇥퇦퇧퇨퇩퇪������퇫퇬퇭퇮퇯퇰퇱퇲퇳퇵퇶퇷퇹퇺퇻퇼퇽퇾퇿툀툁툂툃툄툅툆������툈툊툋툌툍툎툏툑툒툓툔툕툖툗툘툙툚툛툜툝툞툟툠툡툢툣툤툥툦툧툨툩륫륭르륵른를름릅릇릉릊릍릎리릭린릴림립릿링마막만많맏말맑맒맘맙맛망맞맡맣매맥맨맬맴맵맷맸맹맺먀먁먈먕머먹먼멀멂멈멉멋멍멎멓메멕멘멜멤멥멧멨멩며멱면멸몃몄명몇몌모목몫몬몰몲몸몹못몽뫄뫈뫘뫙뫼�\".split(\"\");\nfor(j = 0; j != D[184].length; ++j) if(D[184][j].charCodeAt(0) !== 0xFFFD) { e[D[184][j]] = 47104 + j; d[47104 + j] = D[184][j];}\nD[185] = \"�����������������������������������������������������������������툪툫툮툯툱툲툳툵툶툷툸툹툺툻툾퉀퉂퉃퉄퉅퉆퉇퉉퉊퉋퉌������퉍퉎퉏퉐퉑퉒퉓퉔퉕퉖퉗퉘퉙퉚퉛퉝퉞퉟퉠퉡퉢퉣퉥퉦퉧퉨������퉩퉪퉫퉬퉭퉮퉯퉰퉱퉲퉳퉴퉵퉶퉷퉸퉹퉺퉻퉼퉽퉾퉿튂튃튅튆튇튉튊튋튌묀묄묍묏묑묘묜묠묩묫무묵묶문묻물묽묾뭄뭅뭇뭉뭍뭏뭐뭔뭘뭡뭣뭬뮈뮌뮐뮤뮨뮬뮴뮷므믄믈믐믓미믹민믿밀밂밈밉밋밌밍및밑바박밖밗반받발밝밞밟밤밥밧방밭배백밴밸뱀뱁뱃뱄뱅뱉뱌뱍뱐뱝버벅번벋벌벎범법벗�\".split(\"\");\nfor(j = 0; j != D[185].length; ++j) if(D[185][j].charCodeAt(0) !== 0xFFFD) { e[D[185][j]] = 47360 + j; d[47360 + j] = D[185][j];}\nD[186] = \"�����������������������������������������������������������������튍튎튏튒튓튔튖튗튘튙튚튛튝튞튟튡튢튣튥튦튧튨튩튪튫튭������튮튯튰튲튳튴튵튶튷튺튻튽튾틁틃틄틅틆틇틊틌틍틎틏틐틑������틒틓틕틖틗틙틚틛틝틞틟틠틡틢틣틦틧틨틩틪틫틬틭틮틯틲틳틵틶틷틹틺벙벚베벡벤벧벨벰벱벳벴벵벼벽변별볍볏볐병볕볘볜보복볶본볼봄봅봇봉봐봔봤봬뵀뵈뵉뵌뵐뵘뵙뵤뵨부북분붇불붉붊붐붑붓붕붙붚붜붤붰붸뷔뷕뷘뷜뷩뷰뷴뷸븀븃븅브븍븐블븜븝븟비빅빈빌빎빔빕빗빙빚빛빠빡빤�\".split(\"\");\nfor(j = 0; j != D[186].length; ++j) if(D[186][j].charCodeAt(0) !== 0xFFFD) { e[D[186][j]] = 47616 + j; d[47616 + j] = D[186][j];}\nD[187] = \"�����������������������������������������������������������������틻틼틽틾틿팂팄팆팇팈팉팊팋팏팑팒팓팕팗팘팙팚팛팞팢팣������팤팦팧팪팫팭팮팯팱팲팳팴팵팶팷팺팾팿퍀퍁퍂퍃퍆퍇퍈퍉������퍊퍋퍌퍍퍎퍏퍐퍑퍒퍓퍔퍕퍖퍗퍘퍙퍚퍛퍜퍝퍞퍟퍠퍡퍢퍣퍤퍥퍦퍧퍨퍩빨빪빰빱빳빴빵빻빼빽뺀뺄뺌뺍뺏뺐뺑뺘뺙뺨뻐뻑뻔뻗뻘뻠뻣뻤뻥뻬뼁뼈뼉뼘뼙뼛뼜뼝뽀뽁뽄뽈뽐뽑뽕뾔뾰뿅뿌뿍뿐뿔뿜뿟뿡쀼쁑쁘쁜쁠쁨쁩삐삑삔삘삠삡삣삥사삭삯산삳살삵삶삼삽삿샀상샅새색샌샐샘샙샛샜생샤�\".split(\"\");\nfor(j = 0; j != D[187].length; ++j) if(D[187][j].charCodeAt(0) !== 0xFFFD) { e[D[187][j]] = 47872 + j; d[47872 + j] = D[187][j];}\nD[188] = \"�����������������������������������������������������������������퍪퍫퍬퍭퍮퍯퍰퍱퍲퍳퍴퍵퍶퍷퍸퍹퍺퍻퍾퍿펁펂펃펅펆펇������펈펉펊펋펎펒펓펔펕펖펗펚펛펝펞펟펡펢펣펤펥펦펧펪펬펮������펯펰펱펲펳펵펶펷펹펺펻펽펾펿폀폁폂폃폆폇폊폋폌폍폎폏폑폒폓폔폕폖샥샨샬샴샵샷샹섀섄섈섐섕서석섞섟선섣설섦섧섬섭섯섰성섶세섹센셀셈셉셋셌셍셔셕션셜셤셥셧셨셩셰셴셸솅소속솎손솔솖솜솝솟송솥솨솩솬솰솽쇄쇈쇌쇔쇗쇘쇠쇤쇨쇰쇱쇳쇼쇽숀숄숌숍숏숑수숙순숟술숨숩숫숭�\".split(\"\");\nfor(j = 0; j != D[188].length; ++j) if(D[188][j].charCodeAt(0) !== 0xFFFD) { e[D[188][j]] = 48128 + j; d[48128 + j] = D[188][j];}\nD[189] = \"�����������������������������������������������������������������폗폙폚폛폜폝폞폟폠폢폤폥폦폧폨폩폪폫폮폯폱폲폳폵폶폷������폸폹폺폻폾퐀퐂퐃퐄퐅퐆퐇퐉퐊퐋퐌퐍퐎퐏퐐퐑퐒퐓퐔퐕퐖������퐗퐘퐙퐚퐛퐜퐞퐟퐠퐡퐢퐣퐤퐥퐦퐧퐨퐩퐪퐫퐬퐭퐮퐯퐰퐱퐲퐳퐴퐵퐶퐷숯숱숲숴쉈쉐쉑쉔쉘쉠쉥쉬쉭쉰쉴쉼쉽쉿슁슈슉슐슘슛슝스슥슨슬슭슴습슷승시식신싣실싫심십싯싱싶싸싹싻싼쌀쌈쌉쌌쌍쌓쌔쌕쌘쌜쌤쌥쌨쌩썅써썩썬썰썲썸썹썼썽쎄쎈쎌쏀쏘쏙쏜쏟쏠쏢쏨쏩쏭쏴쏵쏸쐈쐐쐤쐬쐰�\".split(\"\");\nfor(j = 0; j != D[189].length; ++j) if(D[189][j].charCodeAt(0) !== 0xFFFD) { e[D[189][j]] = 48384 + j; d[48384 + j] = D[189][j];}\nD[190] = \"�����������������������������������������������������������������퐸퐹퐺퐻퐼퐽퐾퐿푁푂푃푅푆푇푈푉푊푋푌푍푎푏푐푑푒푓������푔푕푖푗푘푙푚푛푝푞푟푡푢푣푥푦푧푨푩푪푫푬푮푰푱푲������푳푴푵푶푷푺푻푽푾풁풃풄풅풆풇풊풌풎풏풐풑풒풓풕풖풗풘풙풚풛풜풝쐴쐼쐽쑈쑤쑥쑨쑬쑴쑵쑹쒀쒔쒜쒸쒼쓩쓰쓱쓴쓸쓺쓿씀씁씌씐씔씜씨씩씬씰씸씹씻씽아악안앉않알앍앎앓암압앗았앙앝앞애액앤앨앰앱앳앴앵야약얀얄얇얌얍얏양얕얗얘얜얠얩어억언얹얻얼얽얾엄업없엇었엉엊엌엎�\".split(\"\");\nfor(j = 0; j != D[190].length; ++j) if(D[190][j].charCodeAt(0) !== 0xFFFD) { e[D[190][j]] = 48640 + j; d[48640 + j] = D[190][j];}\nD[191] = \"�����������������������������������������������������������������풞풟풠풡풢풣풤풥풦풧풨풪풫풬풭풮풯풰풱풲풳풴풵풶풷풸������풹풺풻풼풽풾풿퓀퓁퓂퓃퓄퓅퓆퓇퓈퓉퓊퓋퓍퓎퓏퓑퓒퓓퓕������퓖퓗퓘퓙퓚퓛퓝퓞퓠퓡퓢퓣퓤퓥퓦퓧퓩퓪퓫퓭퓮퓯퓱퓲퓳퓴퓵퓶퓷퓹퓺퓼에엑엔엘엠엡엣엥여역엮연열엶엷염엽엾엿였영옅옆옇예옌옐옘옙옛옜오옥온올옭옮옰옳옴옵옷옹옻와왁완왈왐왑왓왔왕왜왝왠왬왯왱외왹왼욀욈욉욋욍요욕욘욜욤욥욧용우욱운울욹욺움웁웃웅워웍원월웜웝웠웡웨�\".split(\"\");\nfor(j = 0; j != D[191].length; ++j) if(D[191][j].charCodeAt(0) !== 0xFFFD) { e[D[191][j]] = 48896 + j; d[48896 + j] = D[191][j];}\nD[192] = \"�����������������������������������������������������������������퓾퓿픀픁픂픃픅픆픇픉픊픋픍픎픏픐픑픒픓픖픘픙픚픛픜픝������픞픟픠픡픢픣픤픥픦픧픨픩픪픫픬픭픮픯픰픱픲픳픴픵픶픷������픸픹픺픻픾픿핁핂핃핅핆핇핈핉핊핋핎핐핒핓핔핕핖핗핚핛핝핞핟핡핢핣웩웬웰웸웹웽위윅윈윌윔윕윗윙유육윤율윰윱윳융윷으윽은을읊음읍읏응읒읓읔읕읖읗의읜읠읨읫이익인일읽읾잃임입잇있잉잊잎자작잔잖잗잘잚잠잡잣잤장잦재잭잰잴잼잽잿쟀쟁쟈쟉쟌쟎쟐쟘쟝쟤쟨쟬저적전절젊�\".split(\"\");\nfor(j = 0; j != D[192].length; ++j) if(D[192][j].charCodeAt(0) !== 0xFFFD) { e[D[192][j]] = 49152 + j; d[49152 + j] = D[192][j];}\nD[193] = \"�����������������������������������������������������������������핤핦핧핪핬핮핯핰핱핲핳핶핷핹핺핻핽핾핿햀햁햂햃햆햊햋������햌햍햎햏햑햒햓햔햕햖햗햘햙햚햛햜햝햞햟햠햡햢햣햤햦햧������햨햩햪햫햬햭햮햯햰햱햲햳햴햵햶햷햸햹햺햻햼햽햾햿헀헁헂헃헄헅헆헇점접젓정젖제젝젠젤젬젭젯젱져젼졀졈졉졌졍졔조족존졸졺좀좁좃종좆좇좋좌좍좔좝좟좡좨좼좽죄죈죌죔죕죗죙죠죡죤죵주죽준줄줅줆줌줍줏중줘줬줴쥐쥑쥔쥘쥠쥡쥣쥬쥰쥴쥼즈즉즌즐즘즙즛증지직진짇질짊짐집짓�\".split(\"\");\nfor(j = 0; j != D[193].length; ++j) if(D[193][j].charCodeAt(0) !== 0xFFFD) { e[D[193][j]] = 49408 + j; d[49408 + j] = D[193][j];}\nD[194] = \"�����������������������������������������������������������������헊헋헍헎헏헑헓헔헕헖헗헚헜헞헟헠헡헢헣헦헧헩헪헫헭헮������헯헰헱헲헳헶헸헺헻헼헽헾헿혂혃혅혆혇혉혊혋혌혍혎혏혒������혖혗혘혙혚혛혝혞혟혡혢혣혥혦혧혨혩혪혫혬혮혯혰혱혲혳혴혵혶혷혺혻징짖짙짚짜짝짠짢짤짧짬짭짯짰짱째짹짼쨀쨈쨉쨋쨌쨍쨔쨘쨩쩌쩍쩐쩔쩜쩝쩟쩠쩡쩨쩽쪄쪘쪼쪽쫀쫄쫌쫍쫏쫑쫓쫘쫙쫠쫬쫴쬈쬐쬔쬘쬠쬡쭁쭈쭉쭌쭐쭘쭙쭝쭤쭸쭹쮜쮸쯔쯤쯧쯩찌찍찐찔찜찝찡찢찧차착찬찮찰참찹찻�\".split(\"\");\nfor(j = 0; j != D[194].length; ++j) if(D[194][j].charCodeAt(0) !== 0xFFFD) { e[D[194][j]] = 49664 + j; d[49664 + j] = D[194][j];}\nD[195] = \"�����������������������������������������������������������������혽혾혿홁홂홃홄홆홇홊홌홎홏홐홒홓홖홗홙홚홛홝홞홟홠홡������홢홣홤홥홦홨홪홫홬홭홮홯홲홳홵홶홷홸홹홺홻홼홽홾홿횀������횁횂횄횆횇횈횉횊횋횎횏횑횒횓횕횖횗횘횙횚횛횜횞횠횢횣횤횥횦횧횩횪찼창찾채책챈챌챔챕챗챘챙챠챤챦챨챰챵처척천철첨첩첫첬청체첵첸첼쳄쳅쳇쳉쳐쳔쳤쳬쳰촁초촉촌촐촘촙촛총촤촨촬촹최쵠쵤쵬쵭쵯쵱쵸춈추축춘출춤춥춧충춰췄췌췐취췬췰췸췹췻췽츄츈츌츔츙츠측츤츨츰츱츳층�\".split(\"\");\nfor(j = 0; j != D[195].length; ++j) if(D[195][j].charCodeAt(0) !== 0xFFFD) { e[D[195][j]] = 49920 + j; d[49920 + j] = D[195][j];}\nD[196] = \"�����������������������������������������������������������������횫횭횮횯횱횲횳횴횵횶횷횸횺횼횽횾횿훀훁훂훃훆훇훉훊훋������훍훎훏훐훒훓훕훖훘훚훛훜훝훞훟훡훢훣훥훦훧훩훪훫훬훭������훮훯훱훲훳훴훶훷훸훹훺훻훾훿휁휂휃휅휆휇휈휉휊휋휌휍휎휏휐휒휓휔치칙친칟칠칡침칩칫칭카칵칸칼캄캅캇캉캐캑캔캘캠캡캣캤캥캬캭컁커컥컨컫컬컴컵컷컸컹케켁켄켈켐켑켓켕켜켠켤켬켭켯켰켱켸코콕콘콜콤콥콧콩콰콱콴콸쾀쾅쾌쾡쾨쾰쿄쿠쿡쿤쿨쿰쿱쿳쿵쿼퀀퀄퀑퀘퀭퀴퀵퀸퀼�\".split(\"\");\nfor(j = 0; j != D[196].length; ++j) if(D[196][j].charCodeAt(0) !== 0xFFFD) { e[D[196][j]] = 50176 + j; d[50176 + j] = D[196][j];}\nD[197] = \"�����������������������������������������������������������������휕휖휗휚휛휝휞휟휡휢휣휤휥휦휧휪휬휮휯휰휱휲휳휶휷휹������휺휻휽휾휿흀흁흂흃흅흆흈흊흋흌흍흎흏흒흓흕흚흛흜흝흞������흟흢흤흦흧흨흪흫흭흮흯흱흲흳흵흶흷흸흹흺흻흾흿힀힂힃힄힅힆힇힊힋큄큅큇큉큐큔큘큠크큭큰클큼큽킁키킥킨킬킴킵킷킹타탁탄탈탉탐탑탓탔탕태택탠탤탬탭탯탰탱탸턍터턱턴털턺텀텁텃텄텅테텍텐텔템텝텟텡텨텬텼톄톈토톡톤톨톰톱톳통톺톼퇀퇘퇴퇸툇툉툐투툭툰툴툼툽툿퉁퉈퉜�\".split(\"\");\nfor(j = 0; j != D[197].length; ++j) if(D[197][j].charCodeAt(0) !== 0xFFFD) { e[D[197][j]] = 50432 + j; d[50432 + j] = D[197][j];}\nD[198] = \"�����������������������������������������������������������������힍힎힏힑힒힓힔힕힖힗힚힜힞힟힠힡힢힣������������������������������������������������������������������������������퉤튀튁튄튈튐튑튕튜튠튤튬튱트특튼튿틀틂틈틉틋틔틘틜틤틥티틱틴틸팀팁팃팅파팍팎판팔팖팜팝팟팠팡팥패팩팬팰팸팹팻팼팽퍄퍅퍼퍽펀펄펌펍펏펐펑페펙펜펠펨펩펫펭펴편펼폄폅폈평폐폘폡폣포폭폰폴폼폽폿퐁�\".split(\"\");\nfor(j = 0; j != D[198].length; ++j) if(D[198][j].charCodeAt(0) !== 0xFFFD) { e[D[198][j]] = 50688 + j; d[50688 + j] = D[198][j];}\nD[199] = \"�����������������������������������������������������������������������������������������������������������������������������������������������������������������퐈퐝푀푄표푠푤푭푯푸푹푼푿풀풂품풉풋풍풔풩퓌퓐퓔퓜퓟퓨퓬퓰퓸퓻퓽프픈플픔픕픗피픽핀필핌핍핏핑하학한할핥함합핫항해핵핸핼햄햅햇했행햐향허헉헌헐헒험헙헛헝헤헥헨헬헴헵헷헹혀혁현혈혐협혓혔형혜혠�\".split(\"\");\nfor(j = 0; j != D[199].length; ++j) if(D[199][j].charCodeAt(0) !== 0xFFFD) { e[D[199][j]] = 50944 + j; d[50944 + j] = D[199][j];}\nD[200] = \"�����������������������������������������������������������������������������������������������������������������������������������������������������������������혤혭호혹혼홀홅홈홉홋홍홑화확환활홧황홰홱홴횃횅회획횐횔횝횟횡효횬횰횹횻후훅훈훌훑훔훗훙훠훤훨훰훵훼훽휀휄휑휘휙휜휠휨휩휫휭휴휵휸휼흄흇흉흐흑흔흖흗흘흙흠흡흣흥흩희흰흴흼흽힁히힉힌힐힘힙힛힝�\".split(\"\");\nfor(j = 0; j != D[200].length; ++j) if(D[200][j].charCodeAt(0) !== 0xFFFD) { e[D[200][j]] = 51200 + j; d[51200 + j] = D[200][j];}\nD[202] = \"�����������������������������������������������������������������������������������������������������������������������������������������������������������������伽佳假價加可呵哥嘉嫁家暇架枷柯歌珂痂稼苛茄街袈訶賈跏軻迦駕刻却各恪慤殼珏脚覺角閣侃刊墾奸姦干幹懇揀杆柬桿澗癎看磵稈竿簡肝艮艱諫間乫喝曷渴碣竭葛褐蝎鞨勘坎堪嵌感憾戡敢柑橄減甘疳監瞰紺邯鑑鑒龕�\".split(\"\");\nfor(j = 0; j != D[202].length; ++j) if(D[202][j].charCodeAt(0) !== 0xFFFD) { e[D[202][j]] = 51712 + j; d[51712 + j] = D[202][j];}\nD[203] = \"�����������������������������������������������������������������������������������������������������������������������������������������������������������������匣岬甲胛鉀閘剛堈姜岡崗康强彊慷江畺疆糠絳綱羌腔舡薑襁講鋼降鱇介价個凱塏愷愾慨改槪漑疥皆盖箇芥蓋豈鎧開喀客坑更粳羹醵倨去居巨拒据據擧渠炬祛距踞車遽鉅鋸乾件健巾建愆楗腱虔蹇鍵騫乞傑杰桀儉劍劒檢�\".split(\"\");\nfor(j = 0; j != D[203].length; ++j) if(D[203][j].charCodeAt(0) !== 0xFFFD) { e[D[203][j]] = 51968 + j; d[51968 + j] = D[203][j];}\nD[204] = \"�����������������������������������������������������������������������������������������������������������������������������������������������������������������瞼鈐黔劫怯迲偈憩揭擊格檄激膈覡隔堅牽犬甄絹繭肩見譴遣鵑抉決潔結缺訣兼慊箝謙鉗鎌京俓倞傾儆勁勍卿坰境庚徑慶憬擎敬景暻更梗涇炅烱璟璥瓊痙硬磬竟競絅經耕耿脛莖警輕逕鏡頃頸驚鯨係啓堺契季屆悸戒桂械�\".split(\"\");\nfor(j = 0; j != D[204].length; ++j) if(D[204][j].charCodeAt(0) !== 0xFFFD) { e[D[204][j]] = 52224 + j; d[52224 + j] = D[204][j];}\nD[205] = \"�����������������������������������������������������������������������������������������������������������������������������������������������������������������棨溪界癸磎稽系繫繼計誡谿階鷄古叩告呱固姑孤尻庫拷攷故敲暠枯槁沽痼皐睾稿羔考股膏苦苽菰藁蠱袴誥賈辜錮雇顧高鼓哭斛曲梏穀谷鵠困坤崑昆梱棍滾琨袞鯤汨滑骨供公共功孔工恐恭拱控攻珙空蚣貢鞏串寡戈果瓜�\".split(\"\");\nfor(j = 0; j != D[205].length; ++j) if(D[205][j].charCodeAt(0) !== 0xFFFD) { e[D[205][j]] = 52480 + j; d[52480 + j] = D[205][j];}\nD[206] = \"�����������������������������������������������������������������������������������������������������������������������������������������������������������������科菓誇課跨過鍋顆廓槨藿郭串冠官寬慣棺款灌琯瓘管罐菅觀貫關館刮恝括适侊光匡壙廣曠洸炚狂珖筐胱鑛卦掛罫乖傀塊壞怪愧拐槐魁宏紘肱轟交僑咬喬嬌嶠巧攪敎校橋狡皎矯絞翹膠蕎蛟較轎郊餃驕鮫丘久九仇俱具勾�\".split(\"\");\nfor(j = 0; j != D[206].length; ++j) if(D[206][j].charCodeAt(0) !== 0xFFFD) { e[D[206][j]] = 52736 + j; d[52736 + j] = D[206][j];}\nD[207] = \"�����������������������������������������������������������������������������������������������������������������������������������������������������������������區口句咎嘔坵垢寇嶇廐懼拘救枸柩構歐毆毬求溝灸狗玖球瞿矩究絿耉臼舅舊苟衢謳購軀逑邱鉤銶駒驅鳩鷗龜國局菊鞠鞫麴君窘群裙軍郡堀屈掘窟宮弓穹窮芎躬倦券勸卷圈拳捲權淃眷厥獗蕨蹶闕机櫃潰詭軌饋句晷歸貴�\".split(\"\");\nfor(j = 0; j != D[207].length; ++j) if(D[207][j].charCodeAt(0) !== 0xFFFD) { e[D[207][j]] = 52992 + j; d[52992 + j] = D[207][j];}\nD[208] = \"�����������������������������������������������������������������������������������������������������������������������������������������������������������������鬼龜叫圭奎揆槻珪硅窺竅糾葵規赳逵閨勻均畇筠菌鈞龜橘克剋劇戟棘極隙僅劤勤懃斤根槿瑾筋芹菫覲謹近饉契今妗擒昑檎琴禁禽芩衾衿襟金錦伋及急扱汲級給亘兢矜肯企伎其冀嗜器圻基埼夔奇妓寄岐崎己幾忌技旗旣�\".split(\"\");\nfor(j = 0; j != D[208].length; ++j) if(D[208][j].charCodeAt(0) !== 0xFFFD) { e[D[208][j]] = 53248 + j; d[53248 + j] = D[208][j];}\nD[209] = \"�����������������������������������������������������������������������������������������������������������������������������������������������������������������朞期杞棋棄機欺氣汽沂淇玘琦琪璂璣畸畿碁磯祁祇祈祺箕紀綺羈耆耭肌記譏豈起錡錤飢饑騎騏驥麒緊佶吉拮桔金喫儺喇奈娜懦懶拏拿癩羅蘿螺裸邏那樂洛烙珞落諾酪駱亂卵暖欄煖爛蘭難鸞捏捺南嵐枏楠湳濫男藍襤拉�\".split(\"\");\nfor(j = 0; j != D[209].length; ++j) if(D[209][j].charCodeAt(0) !== 0xFFFD) { e[D[209][j]] = 53504 + j; d[53504 + j] = D[209][j];}\nD[210] = \"�����������������������������������������������������������������������������������������������������������������������������������������������������������������納臘蠟衲囊娘廊朗浪狼郎乃來內奈柰耐冷女年撚秊念恬拈捻寧寗努勞奴弩怒擄櫓爐瑙盧老蘆虜路露駑魯鷺碌祿綠菉錄鹿論壟弄濃籠聾膿農惱牢磊腦賂雷尿壘屢樓淚漏累縷陋嫩訥杻紐勒肋凜凌稜綾能菱陵尼泥匿溺多茶�\".split(\"\");\nfor(j = 0; j != D[210].length; ++j) if(D[210][j].charCodeAt(0) !== 0xFFFD) { e[D[210][j]] = 53760 + j; d[53760 + j] = D[210][j];}\nD[211] = \"�����������������������������������������������������������������������������������������������������������������������������������������������������������������丹亶但單團壇彖斷旦檀段湍短端簞緞蛋袒鄲鍛撻澾獺疸達啖坍憺擔曇淡湛潭澹痰聃膽蕁覃談譚錟沓畓答踏遝唐堂塘幢戇撞棠當糖螳黨代垈坮大對岱帶待戴擡玳臺袋貸隊黛宅德悳倒刀到圖堵塗導屠島嶋度徒悼挑掉搗桃�\".split(\"\");\nfor(j = 0; j != D[211].length; ++j) if(D[211][j].charCodeAt(0) !== 0xFFFD) { e[D[211][j]] = 54016 + j; d[54016 + j] = D[211][j];}\nD[212] = \"�����������������������������������������������������������������������������������������������������������������������������������������������������������������棹櫂淘渡滔濤燾盜睹禱稻萄覩賭跳蹈逃途道都鍍陶韜毒瀆牘犢獨督禿篤纛讀墩惇敦旽暾沌焞燉豚頓乭突仝冬凍動同憧東桐棟洞潼疼瞳童胴董銅兜斗杜枓痘竇荳讀豆逗頭屯臀芚遁遯鈍得嶝橙燈登等藤謄鄧騰喇懶拏癩羅�\".split(\"\");\nfor(j = 0; j != D[212].length; ++j) if(D[212][j].charCodeAt(0) !== 0xFFFD) { e[D[212][j]] = 54272 + j; d[54272 + j] = D[212][j];}\nD[213] = \"�����������������������������������������������������������������������������������������������������������������������������������������������������������������蘿螺裸邏樂洛烙珞絡落諾酪駱丹亂卵欄欒瀾爛蘭鸞剌辣嵐擥攬欖濫籃纜藍襤覽拉臘蠟廊朗浪狼琅瑯螂郞來崍徠萊冷掠略亮倆兩凉梁樑粮粱糧良諒輛量侶儷勵呂廬慮戾旅櫚濾礪藜蠣閭驢驪麗黎力曆歷瀝礫轢靂憐戀攣漣�\".split(\"\");\nfor(j = 0; j != D[213].length; ++j) if(D[213][j].charCodeAt(0) !== 0xFFFD) { e[D[213][j]] = 54528 + j; d[54528 + j] = D[213][j];}\nD[214] = \"�����������������������������������������������������������������������������������������������������������������������������������������������������������������煉璉練聯蓮輦連鍊冽列劣洌烈裂廉斂殮濂簾獵令伶囹寧岺嶺怜玲笭羚翎聆逞鈴零靈領齡例澧禮醴隷勞怒撈擄櫓潞瀘爐盧老蘆虜路輅露魯鷺鹵碌祿綠菉錄鹿麓論壟弄朧瀧瓏籠聾儡瀨牢磊賂賚賴雷了僚寮廖料燎療瞭聊蓼�\".split(\"\");\nfor(j = 0; j != D[214].length; ++j) if(D[214][j].charCodeAt(0) !== 0xFFFD) { e[D[214][j]] = 54784 + j; d[54784 + j] = D[214][j];}\nD[215] = \"�����������������������������������������������������������������������������������������������������������������������������������������������������������������遼鬧龍壘婁屢樓淚漏瘻累縷蔞褸鏤陋劉旒柳榴流溜瀏琉瑠留瘤硫謬類六戮陸侖倫崙淪綸輪律慄栗率隆勒肋凜凌楞稜綾菱陵俚利厘吏唎履悧李梨浬犁狸理璃異痢籬罹羸莉裏裡里釐離鯉吝潾燐璘藺躪隣鱗麟林淋琳臨霖砬�\".split(\"\");\nfor(j = 0; j != D[215].length; ++j) if(D[215][j].charCodeAt(0) !== 0xFFFD) { e[D[215][j]] = 55040 + j; d[55040 + j] = D[215][j];}\nD[216] = \"�����������������������������������������������������������������������������������������������������������������������������������������������������������������立笠粒摩瑪痲碼磨馬魔麻寞幕漠膜莫邈万卍娩巒彎慢挽晩曼滿漫灣瞞萬蔓蠻輓饅鰻唜抹末沫茉襪靺亡妄忘忙望網罔芒茫莽輞邙埋妹媒寐昧枚梅每煤罵買賣邁魅脈貊陌驀麥孟氓猛盲盟萌冪覓免冕勉棉沔眄眠綿緬面麵滅�\".split(\"\");\nfor(j = 0; j != D[216].length; ++j) if(D[216][j].charCodeAt(0) !== 0xFFFD) { e[D[216][j]] = 55296 + j; d[55296 + j] = D[216][j];}\nD[217] = \"�����������������������������������������������������������������������������������������������������������������������������������������������������������������蔑冥名命明暝椧溟皿瞑茗蓂螟酩銘鳴袂侮冒募姆帽慕摸摹暮某模母毛牟牡瑁眸矛耗芼茅謀謨貌木沐牧目睦穆鶩歿沒夢朦蒙卯墓妙廟描昴杳渺猫竗苗錨務巫憮懋戊拇撫无楙武毋無珷畝繆舞茂蕪誣貿霧鵡墨默們刎吻問文�\".split(\"\");\nfor(j = 0; j != D[217].length; ++j) if(D[217][j].charCodeAt(0) !== 0xFFFD) { e[D[217][j]] = 55552 + j; d[55552 + j] = D[217][j];}\nD[218] = \"�����������������������������������������������������������������������������������������������������������������������������������������������������������������汶紊紋聞蚊門雯勿沕物味媚尾嵋彌微未梶楣渼湄眉米美薇謎迷靡黴岷悶愍憫敏旻旼民泯玟珉緡閔密蜜謐剝博拍搏撲朴樸泊珀璞箔粕縛膊舶薄迫雹駁伴半反叛拌搬攀斑槃泮潘班畔瘢盤盼磐磻礬絆般蟠返頒飯勃拔撥渤潑�\".split(\"\");\nfor(j = 0; j != D[218].length; ++j) if(D[218][j].charCodeAt(0) !== 0xFFFD) { e[D[218][j]] = 55808 + j; d[55808 + j] = D[218][j];}\nD[219] = \"�����������������������������������������������������������������������������������������������������������������������������������������������������������������發跋醱鉢髮魃倣傍坊妨尨幇彷房放方旁昉枋榜滂磅紡肪膀舫芳蒡蚌訪謗邦防龐倍俳北培徘拜排杯湃焙盃背胚裴裵褙賠輩配陪伯佰帛柏栢白百魄幡樊煩燔番磻繁蕃藩飜伐筏罰閥凡帆梵氾汎泛犯範范法琺僻劈壁擘檗璧癖�\".split(\"\");\nfor(j = 0; j != D[219].length; ++j) if(D[219][j].charCodeAt(0) !== 0xFFFD) { e[D[219][j]] = 56064 + j; d[56064 + j] = D[219][j];}\nD[220] = \"�����������������������������������������������������������������������������������������������������������������������������������������������������������������碧蘗闢霹便卞弁變辨辯邊別瞥鱉鼈丙倂兵屛幷昞昺柄棅炳甁病秉竝輧餠騈保堡報寶普步洑湺潽珤甫菩補褓譜輔伏僕匐卜宓復服福腹茯蔔複覆輹輻馥鰒本乶俸奉封峯峰捧棒烽熢琫縫蓬蜂逢鋒鳳不付俯傅剖副否咐埠夫婦�\".split(\"\");\nfor(j = 0; j != D[220].length; ++j) if(D[220][j].charCodeAt(0) !== 0xFFFD) { e[D[220][j]] = 56320 + j; d[56320 + j] = D[220][j];}\nD[221] = \"�����������������������������������������������������������������������������������������������������������������������������������������������������������������孚孵富府復扶敷斧浮溥父符簿缶腐腑膚艀芙莩訃負賦賻赴趺部釜阜附駙鳧北分吩噴墳奔奮忿憤扮昐汾焚盆粉糞紛芬賁雰不佛弗彿拂崩朋棚硼繃鵬丕備匕匪卑妃婢庇悲憊扉批斐枇榧比毖毗毘沸泌琵痺砒碑秕秘粃緋翡肥�\".split(\"\");\nfor(j = 0; j != D[221].length; ++j) if(D[221][j].charCodeAt(0) !== 0xFFFD) { e[D[221][j]] = 56576 + j; d[56576 + j] = D[221][j];}\nD[222] = \"�����������������������������������������������������������������������������������������������������������������������������������������������������������������脾臂菲蜚裨誹譬費鄙非飛鼻嚬嬪彬斌檳殯浜濱瀕牝玭貧賓頻憑氷聘騁乍事些仕伺似使俟僿史司唆嗣四士奢娑寫寺射巳師徙思捨斜斯柶査梭死沙泗渣瀉獅砂社祀祠私篩紗絲肆舍莎蓑蛇裟詐詞謝賜赦辭邪飼駟麝削數朔索�\".split(\"\");\nfor(j = 0; j != D[222].length; ++j) if(D[222][j].charCodeAt(0) !== 0xFFFD) { e[D[222][j]] = 56832 + j; d[56832 + j] = D[222][j];}\nD[223] = \"�����������������������������������������������������������������������������������������������������������������������������������������������������������������傘刪山散汕珊産疝算蒜酸霰乷撒殺煞薩三參杉森渗芟蔘衫揷澁鈒颯上傷像償商喪嘗孀尙峠常床庠廂想桑橡湘爽牀狀相祥箱翔裳觴詳象賞霜塞璽賽嗇塞穡索色牲生甥省笙墅壻嶼序庶徐恕抒捿敍暑曙書栖棲犀瑞筮絮緖署�\".split(\"\");\nfor(j = 0; j != D[223].length; ++j) if(D[223][j].charCodeAt(0) !== 0xFFFD) { e[D[223][j]] = 57088 + j; d[57088 + j] = D[223][j];}\nD[224] = \"�����������������������������������������������������������������������������������������������������������������������������������������������������������������胥舒薯西誓逝鋤黍鼠夕奭席惜昔晳析汐淅潟石碩蓆釋錫仙僊先善嬋宣扇敾旋渲煽琁瑄璇璿癬禪線繕羨腺膳船蘚蟬詵跣選銑鐥饍鮮卨屑楔泄洩渫舌薛褻設說雪齧剡暹殲纖蟾贍閃陝攝涉燮葉城姓宬性惺成星晟猩珹盛省筬�\".split(\"\");\nfor(j = 0; j != D[224].length; ++j) if(D[224][j].charCodeAt(0) !== 0xFFFD) { e[D[224][j]] = 57344 + j; d[57344 + j] = D[224][j];}\nD[225] = \"�����������������������������������������������������������������������������������������������������������������������������������������������������������������聖聲腥誠醒世勢歲洗稅笹細說貰召嘯塑宵小少巢所掃搔昭梳沼消溯瀟炤燒甦疏疎瘙笑篠簫素紹蔬蕭蘇訴逍遡邵銷韶騷俗屬束涑粟續謖贖速孫巽損蓀遜飡率宋悚松淞訟誦送頌刷殺灑碎鎖衰釗修受嗽囚垂壽嫂守岫峀帥愁�\".split(\"\");\nfor(j = 0; j != D[225].length; ++j) if(D[225][j].charCodeAt(0) !== 0xFFFD) { e[D[225][j]] = 57600 + j; d[57600 + j] = D[225][j];}\nD[226] = \"�����������������������������������������������������������������������������������������������������������������������������������������������������������������戍手授搜收數樹殊水洙漱燧狩獸琇璲瘦睡秀穗竪粹綏綬繡羞脩茱蒐蓚藪袖誰讐輸遂邃酬銖銹隋隧隨雖需須首髓鬚叔塾夙孰宿淑潚熟琡璹肅菽巡徇循恂旬栒楯橓殉洵淳珣盾瞬筍純脣舜荀蓴蕣詢諄醇錞順馴戌術述鉥崇崧�\".split(\"\");\nfor(j = 0; j != D[226].length; ++j) if(D[226][j].charCodeAt(0) !== 0xFFFD) { e[D[226][j]] = 57856 + j; d[57856 + j] = D[226][j];}\nD[227] = \"�����������������������������������������������������������������������������������������������������������������������������������������������������������������嵩瑟膝蝨濕拾習褶襲丞乘僧勝升承昇繩蠅陞侍匙嘶始媤尸屎屍市弑恃施是時枾柴猜矢示翅蒔蓍視試詩諡豕豺埴寔式息拭植殖湜熄篒蝕識軾食飾伸侁信呻娠宸愼新晨燼申神紳腎臣莘薪藎蜃訊身辛辰迅失室實悉審尋心沁�\".split(\"\");\nfor(j = 0; j != D[227].length; ++j) if(D[227][j].charCodeAt(0) !== 0xFFFD) { e[D[227][j]] = 58112 + j; d[58112 + j] = D[227][j];}\nD[228] = \"�����������������������������������������������������������������������������������������������������������������������������������������������������������������沈深瀋甚芯諶什十拾雙氏亞俄兒啞娥峨我牙芽莪蛾衙訝阿雅餓鴉鵝堊岳嶽幄惡愕握樂渥鄂鍔顎鰐齷安岸按晏案眼雁鞍顔鮟斡謁軋閼唵岩巖庵暗癌菴闇壓押狎鴨仰央怏昻殃秧鴦厓哀埃崖愛曖涯碍艾隘靄厄扼掖液縊腋額�\".split(\"\");\nfor(j = 0; j != D[228].length; ++j) if(D[228][j].charCodeAt(0) !== 0xFFFD) { e[D[228][j]] = 58368 + j; d[58368 + j] = D[228][j];}\nD[229] = \"�����������������������������������������������������������������������������������������������������������������������������������������������������������������櫻罌鶯鸚也倻冶夜惹揶椰爺耶若野弱掠略約若葯蒻藥躍亮佯兩凉壤孃恙揚攘敭暘梁楊樣洋瀁煬痒瘍禳穰糧羊良襄諒讓釀陽量養圄御於漁瘀禦語馭魚齬億憶抑檍臆偃堰彦焉言諺孼蘖俺儼嚴奄掩淹嶪業円予余勵呂女如廬�\".split(\"\");\nfor(j = 0; j != D[229].length; ++j) if(D[229][j].charCodeAt(0) !== 0xFFFD) { e[D[229][j]] = 58624 + j; d[58624 + j] = D[229][j];}\nD[230] = \"�����������������������������������������������������������������������������������������������������������������������������������������������������������������旅歟汝濾璵礖礪與艅茹輿轝閭餘驪麗黎亦力域役易曆歷疫繹譯轢逆驛嚥堧姸娟宴年延憐戀捐挻撚椽沇沿涎涓淵演漣烟然煙煉燃燕璉硏硯秊筵緣練縯聯衍軟輦蓮連鉛鍊鳶列劣咽悅涅烈熱裂說閱厭廉念捻染殮炎焰琰艶苒�\".split(\"\");\nfor(j = 0; j != D[230].length; ++j) if(D[230][j].charCodeAt(0) !== 0xFFFD) { e[D[230][j]] = 58880 + j; d[58880 + j] = D[230][j];}\nD[231] = \"�����������������������������������������������������������������������������������������������������������������������������������������������������������������簾閻髥鹽曄獵燁葉令囹塋寧嶺嶸影怜映暎楹榮永泳渶潁濚瀛瀯煐營獰玲瑛瑩瓔盈穎纓羚聆英詠迎鈴鍈零霙靈領乂倪例刈叡曳汭濊猊睿穢芮藝蘂禮裔詣譽豫醴銳隸霓預五伍俉傲午吾吳嗚塢墺奧娛寤悟惡懊敖旿晤梧汚澳�\".split(\"\");\nfor(j = 0; j != D[231].length; ++j) if(D[231][j].charCodeAt(0) !== 0xFFFD) { e[D[231][j]] = 59136 + j; d[59136 + j] = D[231][j];}\nD[232] = \"�����������������������������������������������������������������������������������������������������������������������������������������������������������������烏熬獒筽蜈誤鰲鼇屋沃獄玉鈺溫瑥瘟穩縕蘊兀壅擁瓮甕癰翁邕雍饔渦瓦窩窪臥蛙蝸訛婉完宛梡椀浣玩琓琬碗緩翫脘腕莞豌阮頑曰往旺枉汪王倭娃歪矮外嵬巍猥畏了僚僥凹堯夭妖姚寥寮尿嶢拗搖撓擾料曜樂橈燎燿瑤療�\".split(\"\");\nfor(j = 0; j != D[232].length; ++j) if(D[232][j].charCodeAt(0) !== 0xFFFD) { e[D[232][j]] = 59392 + j; d[59392 + j] = D[232][j];}\nD[233] = \"�����������������������������������������������������������������������������������������������������������������������������������������������������������������窈窯繇繞耀腰蓼蟯要謠遙遼邀饒慾欲浴縟褥辱俑傭冗勇埇墉容庸慂榕涌湧溶熔瑢用甬聳茸蓉踊鎔鏞龍于佑偶優又友右宇寓尤愚憂旴牛玗瑀盂祐禑禹紆羽芋藕虞迂遇郵釪隅雨雩勖彧旭昱栯煜稶郁頊云暈橒殞澐熉耘芸蕓�\".split(\"\");\nfor(j = 0; j != D[233].length; ++j) if(D[233][j].charCodeAt(0) !== 0xFFFD) { e[D[233][j]] = 59648 + j; d[59648 + j] = D[233][j];}\nD[234] = \"�����������������������������������������������������������������������������������������������������������������������������������������������������������������運隕雲韻蔚鬱亐熊雄元原員圓園垣媛嫄寃怨愿援沅洹湲源爰猿瑗苑袁轅遠阮院願鴛月越鉞位偉僞危圍委威尉慰暐渭爲瑋緯胃萎葦蔿蝟衛褘謂違韋魏乳侑儒兪劉唯喩孺宥幼幽庾悠惟愈愉揄攸有杻柔柚柳楡楢油洧流游溜�\".split(\"\");\nfor(j = 0; j != D[234].length; ++j) if(D[234][j].charCodeAt(0) !== 0xFFFD) { e[D[234][j]] = 59904 + j; d[59904 + j] = D[234][j];}\nD[235] = \"�����������������������������������������������������������������������������������������������������������������������������������������������������������������濡猶猷琉瑜由留癒硫紐維臾萸裕誘諛諭踰蹂遊逾遺酉釉鍮類六堉戮毓肉育陸倫允奫尹崙淪潤玧胤贇輪鈗閏律慄栗率聿戎瀜絨融隆垠恩慇殷誾銀隱乙吟淫蔭陰音飮揖泣邑凝應膺鷹依倚儀宜意懿擬椅毅疑矣義艤薏蟻衣誼�\".split(\"\");\nfor(j = 0; j != D[235].length; ++j) if(D[235][j].charCodeAt(0) !== 0xFFFD) { e[D[235][j]] = 60160 + j; d[60160 + j] = D[235][j];}\nD[236] = \"�����������������������������������������������������������������������������������������������������������������������������������������������������������������議醫二以伊利吏夷姨履已弛彛怡易李梨泥爾珥理異痍痢移罹而耳肄苡荑裏裡貽貳邇里離飴餌匿溺瀷益翊翌翼謚人仁刃印吝咽因姻寅引忍湮燐璘絪茵藺蚓認隣靭靷鱗麟一佚佾壹日溢逸鎰馹任壬妊姙恁林淋稔臨荏賃入卄�\".split(\"\");\nfor(j = 0; j != D[236].length; ++j) if(D[236][j].charCodeAt(0) !== 0xFFFD) { e[D[236][j]] = 60416 + j; d[60416 + j] = D[236][j];}\nD[237] = \"�����������������������������������������������������������������������������������������������������������������������������������������������������������������立笠粒仍剩孕芿仔刺咨姉姿子字孜恣慈滋炙煮玆瓷疵磁紫者自茨蔗藉諮資雌作勺嚼斫昨灼炸爵綽芍酌雀鵲孱棧殘潺盞岑暫潛箴簪蠶雜丈仗匠場墻壯奬將帳庄張掌暲杖樟檣欌漿牆狀獐璋章粧腸臟臧莊葬蔣薔藏裝贓醬長�\".split(\"\");\nfor(j = 0; j != D[237].length; ++j) if(D[237][j].charCodeAt(0) !== 0xFFFD) { e[D[237][j]] = 60672 + j; d[60672 + j] = D[237][j];}\nD[238] = \"�����������������������������������������������������������������������������������������������������������������������������������������������������������������障再哉在宰才材栽梓渽滓災縡裁財載齋齎爭箏諍錚佇低儲咀姐底抵杵楮樗沮渚狙猪疽箸紵苧菹著藷詛貯躇這邸雎齟勣吊嫡寂摘敵滴狄炙的積笛籍績翟荻謫賊赤跡蹟迪迹適鏑佃佺傳全典前剪塡塼奠專展廛悛戰栓殿氈澱�\".split(\"\");\nfor(j = 0; j != D[238].length; ++j) if(D[238][j].charCodeAt(0) !== 0xFFFD) { e[D[238][j]] = 60928 + j; d[60928 + j] = D[238][j];}\nD[239] = \"�����������������������������������������������������������������������������������������������������������������������������������������������������������������煎琠田甸畑癲筌箋箭篆纏詮輾轉鈿銓錢鐫電顚顫餞切截折浙癤竊節絶占岾店漸点粘霑鮎點接摺蝶丁井亭停偵呈姃定幀庭廷征情挺政整旌晶晸柾楨檉正汀淀淨渟湞瀞炡玎珽町睛碇禎程穽精綎艇訂諪貞鄭酊釘鉦鋌錠霆靖�\".split(\"\");\nfor(j = 0; j != D[239].length; ++j) if(D[239][j].charCodeAt(0) !== 0xFFFD) { e[D[239][j]] = 61184 + j; d[61184 + j] = D[239][j];}\nD[240] = \"�����������������������������������������������������������������������������������������������������������������������������������������������������������������靜頂鼎制劑啼堤帝弟悌提梯濟祭第臍薺製諸蹄醍除際霽題齊俎兆凋助嘲弔彫措操早晁曺曹朝條棗槽漕潮照燥爪璪眺祖祚租稠窕粗糟組繰肇藻蚤詔調趙躁造遭釣阻雕鳥族簇足鏃存尊卒拙猝倧宗從悰慫棕淙琮種終綜縱腫�\".split(\"\");\nfor(j = 0; j != D[240].length; ++j) if(D[240][j].charCodeAt(0) !== 0xFFFD) { e[D[240][j]] = 61440 + j; d[61440 + j] = D[240][j];}\nD[241] = \"�����������������������������������������������������������������������������������������������������������������������������������������������������������������踪踵鍾鐘佐坐左座挫罪主住侏做姝胄呪周嗾奏宙州廚晝朱柱株注洲湊澍炷珠疇籌紂紬綢舟蛛註誅走躊輳週酎酒鑄駐竹粥俊儁准埈寯峻晙樽浚準濬焌畯竣蠢逡遵雋駿茁中仲衆重卽櫛楫汁葺增憎曾拯烝甑症繒蒸證贈之只�\".split(\"\");\nfor(j = 0; j != D[241].length; ++j) if(D[241][j].charCodeAt(0) !== 0xFFFD) { e[D[241][j]] = 61696 + j; d[61696 + j] = D[241][j];}\nD[242] = \"�����������������������������������������������������������������������������������������������������������������������������������������������������������������咫地址志持指摯支旨智枝枳止池沚漬知砥祉祗紙肢脂至芝芷蜘誌識贄趾遲直稙稷織職唇嗔塵振搢晉晋桭榛殄津溱珍瑨璡畛疹盡眞瞋秦縉縝臻蔯袗診賑軫辰進鎭陣陳震侄叱姪嫉帙桎瓆疾秩窒膣蛭質跌迭斟朕什執潗緝輯�\".split(\"\");\nfor(j = 0; j != D[242].length; ++j) if(D[242][j].charCodeAt(0) !== 0xFFFD) { e[D[242][j]] = 61952 + j; d[61952 + j] = D[242][j];}\nD[243] = \"�����������������������������������������������������������������������������������������������������������������������������������������������������������������鏶集徵懲澄且侘借叉嗟嵯差次此磋箚茶蹉車遮捉搾着窄錯鑿齪撰澯燦璨瓚竄簒纂粲纘讚贊鑽餐饌刹察擦札紮僭參塹慘慙懺斬站讒讖倉倡創唱娼廠彰愴敞昌昶暢槍滄漲猖瘡窓脹艙菖蒼債埰寀寨彩採砦綵菜蔡采釵冊柵策�\".split(\"\");\nfor(j = 0; j != D[243].length; ++j) if(D[243][j].charCodeAt(0) !== 0xFFFD) { e[D[243][j]] = 62208 + j; d[62208 + j] = D[243][j];}\nD[244] = \"�����������������������������������������������������������������������������������������������������������������������������������������������������������������責凄妻悽處倜刺剔尺慽戚拓擲斥滌瘠脊蹠陟隻仟千喘天川擅泉淺玔穿舛薦賤踐遷釧闡阡韆凸哲喆徹撤澈綴輟轍鐵僉尖沾添甛瞻簽籤詹諂堞妾帖捷牒疊睫諜貼輒廳晴淸聽菁請靑鯖切剃替涕滯締諦逮遞體初剿哨憔抄招梢�\".split(\"\");\nfor(j = 0; j != D[244].length; ++j) if(D[244][j].charCodeAt(0) !== 0xFFFD) { e[D[244][j]] = 62464 + j; d[62464 + j] = D[244][j];}\nD[245] = \"�����������������������������������������������������������������������������������������������������������������������������������������������������������������椒楚樵炒焦硝礁礎秒稍肖艸苕草蕉貂超酢醋醮促囑燭矗蜀觸寸忖村邨叢塚寵悤憁摠總聰蔥銃撮催崔最墜抽推椎楸樞湫皺秋芻萩諏趨追鄒酋醜錐錘鎚雛騶鰍丑畜祝竺筑築縮蓄蹙蹴軸逐春椿瑃出朮黜充忠沖蟲衝衷悴膵萃�\".split(\"\");\nfor(j = 0; j != D[245].length; ++j) if(D[245][j].charCodeAt(0) !== 0xFFFD) { e[D[245][j]] = 62720 + j; d[62720 + j] = D[245][j];}\nD[246] = \"�����������������������������������������������������������������������������������������������������������������������������������������������������������������贅取吹嘴娶就炊翠聚脆臭趣醉驟鷲側仄厠惻測層侈値嗤峙幟恥梔治淄熾痔痴癡稚穉緇緻置致蚩輜雉馳齒則勅飭親七柒漆侵寢枕沈浸琛砧針鍼蟄秤稱快他咤唾墮妥惰打拖朶楕舵陀馱駝倬卓啄坼度托拓擢晫柝濁濯琢琸託�\".split(\"\");\nfor(j = 0; j != D[246].length; ++j) if(D[246][j].charCodeAt(0) !== 0xFFFD) { e[D[246][j]] = 62976 + j; d[62976 + j] = D[246][j];}\nD[247] = \"�����������������������������������������������������������������������������������������������������������������������������������������������������������������鐸呑嘆坦彈憚歎灘炭綻誕奪脫探眈耽貪塔搭榻宕帑湯糖蕩兌台太怠態殆汰泰笞胎苔跆邰颱宅擇澤撑攄兎吐土討慟桶洞痛筒統通堆槌腿褪退頹偸套妬投透鬪慝特闖坡婆巴把播擺杷波派爬琶破罷芭跛頗判坂板版瓣販辦鈑�\".split(\"\");\nfor(j = 0; j != D[247].length; ++j) if(D[247][j].charCodeAt(0) !== 0xFFFD) { e[D[247][j]] = 63232 + j; d[63232 + j] = D[247][j];}\nD[248] = \"�����������������������������������������������������������������������������������������������������������������������������������������������������������������阪八叭捌佩唄悖敗沛浿牌狽稗覇貝彭澎烹膨愎便偏扁片篇編翩遍鞭騙貶坪平枰萍評吠嬖幣廢弊斃肺蔽閉陛佈包匍匏咆哺圃布怖抛抱捕暴泡浦疱砲胞脯苞葡蒲袍褒逋鋪飽鮑幅暴曝瀑爆輻俵剽彪慓杓標漂瓢票表豹飇飄驃�\".split(\"\");\nfor(j = 0; j != D[248].length; ++j) if(D[248][j].charCodeAt(0) !== 0xFFFD) { e[D[248][j]] = 63488 + j; d[63488 + j] = D[248][j];}\nD[249] = \"�����������������������������������������������������������������������������������������������������������������������������������������������������������������品稟楓諷豊風馮彼披疲皮被避陂匹弼必泌珌畢疋筆苾馝乏逼下何厦夏廈昰河瑕荷蝦賀遐霞鰕壑學虐謔鶴寒恨悍旱汗漢澣瀚罕翰閑閒限韓割轄函含咸啣喊檻涵緘艦銜陷鹹合哈盒蛤閤闔陜亢伉姮嫦巷恒抗杭桁沆港缸肛航�\".split(\"\");\nfor(j = 0; j != D[249].length; ++j) if(D[249][j].charCodeAt(0) !== 0xFFFD) { e[D[249][j]] = 63744 + j; d[63744 + j] = D[249][j];}\nD[250] = \"�����������������������������������������������������������������������������������������������������������������������������������������������������������������行降項亥偕咳垓奚孩害懈楷海瀣蟹解該諧邂駭骸劾核倖幸杏荇行享向嚮珦鄕響餉饗香噓墟虛許憲櫶獻軒歇險驗奕爀赫革俔峴弦懸晛泫炫玄玹現眩睍絃絢縣舷衒見賢鉉顯孑穴血頁嫌俠協夾峽挾浹狹脅脇莢鋏頰亨兄刑型�\".split(\"\");\nfor(j = 0; j != D[250].length; ++j) if(D[250][j].charCodeAt(0) !== 0xFFFD) { e[D[250][j]] = 64000 + j; d[64000 + j] = D[250][j];}\nD[251] = \"�����������������������������������������������������������������������������������������������������������������������������������������������������������������形泂滎瀅灐炯熒珩瑩荊螢衡逈邢鎣馨兮彗惠慧暳蕙蹊醯鞋乎互呼壕壺好岵弧戶扈昊晧毫浩淏湖滸澔濠濩灝狐琥瑚瓠皓祜糊縞胡芦葫蒿虎號蝴護豪鎬頀顥惑或酷婚昏混渾琿魂忽惚笏哄弘汞泓洪烘紅虹訌鴻化和嬅樺火畵�\".split(\"\");\nfor(j = 0; j != D[251].length; ++j) if(D[251][j].charCodeAt(0) !== 0xFFFD) { e[D[251][j]] = 64256 + j; d[64256 + j] = D[251][j];}\nD[252] = \"�����������������������������������������������������������������������������������������������������������������������������������������������������������������禍禾花華話譁貨靴廓擴攫確碻穫丸喚奐宦幻患換歡晥桓渙煥環紈還驩鰥活滑猾豁闊凰幌徨恍惶愰慌晃晄榥況湟滉潢煌璜皇篁簧荒蝗遑隍黃匯回廻徊恢悔懷晦會檜淮澮灰獪繪膾茴蛔誨賄劃獲宖橫鐄哮嚆孝效斅曉梟涍淆�\".split(\"\");\nfor(j = 0; j != D[252].length; ++j) if(D[252][j].charCodeAt(0) !== 0xFFFD) { e[D[252][j]] = 64512 + j; d[64512 + j] = D[252][j];}\nD[253] = \"�����������������������������������������������������������������������������������������������������������������������������������������������������������������爻肴酵驍侯候厚后吼喉嗅帿後朽煦珝逅勛勳塤壎焄熏燻薰訓暈薨喧暄煊萱卉喙毁彙徽揮暉煇諱輝麾休携烋畦虧恤譎鷸兇凶匈洶胸黑昕欣炘痕吃屹紇訖欠欽歆吸恰洽翕興僖凞喜噫囍姬嬉希憙憘戱晞曦熙熹熺犧禧稀羲詰�\".split(\"\");\nfor(j = 0; j != D[253].length; ++j) if(D[253][j].charCodeAt(0) !== 0xFFFD) { e[D[253][j]] = 64768 + j; d[64768 + j] = D[253][j];}\nreturn {\"enc\": e, \"dec\": d }; })();\ncptable[950] = (function(){ var d = [], e = {}, D = [], j;\nD[0] = \"\\u0000\\u0001\\u0002\\u0003\\u0004\\u0005\\u0006\\u0007\\b\\t\\n\\u000b\\f\\r\\u000e\\u000f\\u0010\\u0011\\u0012\\u0013\\u0014\\u0015\\u0016\\u0017\\u0018\\u0019\\u001a\\u001b\\u001c\\u001d\\u001e\\u001f !\\\"#$%&'()*+,-./0123456789:;<=>?@ABCDEFGHIJKLMNOPQRSTUVWXYZ[\\\\]^_`abcdefghijklmnopqrstuvwxyz{|}~��������������������������������������������������������������������������������������������������������������������������������\".split(\"\");\nfor(j = 0; j != D[0].length; ++j) if(D[0][j].charCodeAt(0) !== 0xFFFD) { e[D[0][j]] = 0 + j; d[0 + j] = D[0][j];}\nD[161] = \"����������������������������������������������������������������　，、。．‧；：？！︰…‥﹐﹑﹒·﹔﹕﹖﹗｜–︱—︳╴︴﹏（）︵︶｛｝︷︸〔〕︹︺【】︻︼《》︽︾〈〉︿﹀「」﹁﹂『』﹃﹄﹙﹚����������������������������������﹛﹜﹝﹞‘’“”〝〞‵′＃＆＊※§〃○●△▲◎☆★◇◆□■▽▼㊣℅¯￣＿ˍ﹉﹊﹍﹎﹋﹌﹟﹠﹡＋－×÷±√＜＞＝≦≧≠∞≒≡﹢﹣﹤﹥﹦～∩∪⊥∠∟⊿㏒㏑∫∮∵∴♀♂⊕⊙↑↓←→↖↗↙↘∥∣／�\".split(\"\");\nfor(j = 0; j != D[161].length; ++j) if(D[161][j].charCodeAt(0) !== 0xFFFD) { e[D[161][j]] = 41216 + j; d[41216 + j] = D[161][j];}\nD[162] = \"����������������������������������������������������������������＼∕﹨＄￥〒￠￡％＠℃℉﹩﹪﹫㏕㎜㎝㎞㏎㎡㎎㎏㏄°兙兛兞兝兡兣嗧瓩糎▁▂▃▄▅▆▇█▏▎▍▌▋▊▉┼┴┬┤├▔─│▕┌┐└┘╭����������������������������������╮╰╯═╞╪╡◢◣◥◤╱╲╳０１２３４５６７８９ⅠⅡⅢⅣⅤⅥⅦⅧⅨⅩ〡〢〣〤〥〦〧〨〩十卄卅ＡＢＣＤＥＦＧＨＩＪＫＬＭＮＯＰＱＲＳＴＵＶＷＸＹＺａｂｃｄｅｆｇｈｉｊｋｌｍｎｏｐｑｒｓｔｕｖ�\".split(\"\");\nfor(j = 0; j != D[162].length; ++j) if(D[162][j].charCodeAt(0) !== 0xFFFD) { e[D[162][j]] = 41472 + j; d[41472 + j] = D[162][j];}\nD[163] = \"����������������������������������������������������������������ｗｘｙｚΑΒΓΔΕΖΗΘΙΚΛΜΝΞΟΠΡΣΤΥΦΧΨΩαβγδεζηθικλμνξοπρστυφχψωㄅㄆㄇㄈㄉㄊㄋㄌㄍㄎㄏ����������������������������������ㄐㄑㄒㄓㄔㄕㄖㄗㄘㄙㄚㄛㄜㄝㄞㄟㄠㄡㄢㄣㄤㄥㄦㄧㄨㄩ˙ˉˊˇˋ���������������������������������€������������������������������\".split(\"\");\nfor(j = 0; j != D[163].length; ++j) if(D[163][j].charCodeAt(0) !== 0xFFFD) { e[D[163][j]] = 41728 + j; d[41728 + j] = D[163][j];}\nD[164] = \"����������������������������������������������������������������一乙丁七乃九了二人儿入八几刀刁力匕十卜又三下丈上丫丸凡久么也乞于亡兀刃勺千叉口土士夕大女子孑孓寸小尢尸山川工己已巳巾干廾弋弓才����������������������������������丑丐不中丰丹之尹予云井互五亢仁什仃仆仇仍今介仄元允內六兮公冗凶分切刈勻勾勿化匹午升卅卞厄友及反壬天夫太夭孔少尤尺屯巴幻廿弔引心戈戶手扎支文斗斤方日曰月木欠止歹毋比毛氏水火爪父爻片牙牛犬王丙�\".split(\"\");\nfor(j = 0; j != D[164].length; ++j) if(D[164][j].charCodeAt(0) !== 0xFFFD) { e[D[164][j]] = 41984 + j; d[41984 + j] = D[164][j];}\nD[165] = \"����������������������������������������������������������������世丕且丘主乍乏乎以付仔仕他仗代令仙仞充兄冉冊冬凹出凸刊加功包匆北匝仟半卉卡占卯卮去可古右召叮叩叨叼司叵叫另只史叱台句叭叻四囚外����������������������������������央失奴奶孕它尼巨巧左市布平幼弁弘弗必戊打扔扒扑斥旦朮本未末札正母民氐永汁汀氾犯玄玉瓜瓦甘生用甩田由甲申疋白皮皿目矛矢石示禾穴立丞丟乒乓乩亙交亦亥仿伉伙伊伕伍伐休伏仲件任仰仳份企伋光兇兆先全�\".split(\"\");\nfor(j = 0; j != D[165].length; ++j) if(D[165][j].charCodeAt(0) !== 0xFFFD) { e[D[165][j]] = 42240 + j; d[42240 + j] = D[165][j];}\nD[166] = \"����������������������������������������������������������������共再冰列刑划刎刖劣匈匡匠印危吉吏同吊吐吁吋各向名合吃后吆吒因回囝圳地在圭圬圯圩夙多夷夸妄奸妃好她如妁字存宇守宅安寺尖屹州帆并年����������������������������������式弛忙忖戎戌戍成扣扛托收早旨旬旭曲曳有朽朴朱朵次此死氖汝汗汙江池汐汕污汛汍汎灰牟牝百竹米糸缶羊羽老考而耒耳聿肉肋肌臣自至臼舌舛舟艮色艾虫血行衣西阡串亨位住佇佗佞伴佛何估佐佑伽伺伸佃佔似但佣�\".split(\"\");\nfor(j = 0; j != D[166].length; ++j) if(D[166][j].charCodeAt(0) !== 0xFFFD) { e[D[166][j]] = 42496 + j; d[42496 + j] = D[166][j];}\nD[167] = \"����������������������������������������������������������������作你伯低伶余佝佈佚兌克免兵冶冷別判利刪刨劫助努劬匣即卵吝吭吞吾否呎吧呆呃吳呈呂君吩告吹吻吸吮吵吶吠吼呀吱含吟听囪困囤囫坊坑址坍����������������������������������均坎圾坐坏圻壯夾妝妒妨妞妣妙妖妍妤妓妊妥孝孜孚孛完宋宏尬局屁尿尾岐岑岔岌巫希序庇床廷弄弟彤形彷役忘忌志忍忱快忸忪戒我抄抗抖技扶抉扭把扼找批扳抒扯折扮投抓抑抆改攻攸旱更束李杏材村杜杖杞杉杆杠�\".split(\"\");\nfor(j = 0; j != D[167].length; ++j) if(D[167][j].charCodeAt(0) !== 0xFFFD) { e[D[167][j]] = 42752 + j; d[42752 + j] = D[167][j];}\nD[168] = \"����������������������������������������������������������������杓杗步每求汞沙沁沈沉沅沛汪決沐汰沌汨沖沒汽沃汲汾汴沆汶沍沔沘沂灶灼災灸牢牡牠狄狂玖甬甫男甸皂盯矣私秀禿究系罕肖肓肝肘肛肚育良芒����������������������������������芋芍見角言谷豆豕貝赤走足身車辛辰迂迆迅迄巡邑邢邪邦那酉釆里防阮阱阪阬並乖乳事些亞享京佯依侍佳使佬供例來侃佰併侈佩佻侖佾侏侑佺兔兒兕兩具其典冽函刻券刷刺到刮制剁劾劻卒協卓卑卦卷卸卹取叔受味呵�\".split(\"\");\nfor(j = 0; j != D[168].length; ++j) if(D[168][j].charCodeAt(0) !== 0xFFFD) { e[D[168][j]] = 43008 + j; d[43008 + j] = D[168][j];}\nD[169] = \"����������������������������������������������������������������咖呸咕咀呻呷咄咒咆呼咐呱呶和咚呢周咋命咎固垃坷坪坩坡坦坤坼夜奉奇奈奄奔妾妻委妹妮姑姆姐姍始姓姊妯妳姒姅孟孤季宗定官宜宙宛尚屈居����������������������������������屆岷岡岸岩岫岱岳帘帚帖帕帛帑幸庚店府底庖延弦弧弩往征彿彼忝忠忽念忿怏怔怯怵怖怪怕怡性怩怫怛或戕房戾所承拉拌拄抿拂抹拒招披拓拔拋拈抨抽押拐拙拇拍抵拚抱拘拖拗拆抬拎放斧於旺昔易昌昆昂明昀昏昕昊�\".split(\"\");\nfor(j = 0; j != D[169].length; ++j) if(D[169][j].charCodeAt(0) !== 0xFFFD) { e[D[169][j]] = 43264 + j; d[43264 + j] = D[169][j];}\nD[170] = \"����������������������������������������������������������������昇服朋杭枋枕東果杳杷枇枝林杯杰板枉松析杵枚枓杼杪杲欣武歧歿氓氛泣注泳沱泌泥河沽沾沼波沫法泓沸泄油況沮泗泅泱沿治泡泛泊沬泯泜泖泠����������������������������������炕炎炒炊炙爬爭爸版牧物狀狎狙狗狐玩玨玟玫玥甽疝疙疚的盂盲直知矽社祀祁秉秈空穹竺糾罔羌羋者肺肥肢肱股肫肩肴肪肯臥臾舍芳芝芙芭芽芟芹花芬芥芯芸芣芰芾芷虎虱初表軋迎返近邵邸邱邶采金長門阜陀阿阻附�\".split(\"\");\nfor(j = 0; j != D[170].length; ++j) if(D[170][j].charCodeAt(0) !== 0xFFFD) { e[D[170][j]] = 43520 + j; d[43520 + j] = D[170][j];}\nD[171] = \"����������������������������������������������������������������陂隹雨青非亟亭亮信侵侯便俠俑俏保促侶俘俟俊俗侮俐俄係俚俎俞侷兗冒冑冠剎剃削前剌剋則勇勉勃勁匍南卻厚叛咬哀咨哎哉咸咦咳哇哂咽咪品����������������������������������哄哈咯咫咱咻咩咧咿囿垂型垠垣垢城垮垓奕契奏奎奐姜姘姿姣姨娃姥姪姚姦威姻孩宣宦室客宥封屎屏屍屋峙峒巷帝帥帟幽庠度建弈弭彥很待徊律徇後徉怒思怠急怎怨恍恰恨恢恆恃恬恫恪恤扁拜挖按拼拭持拮拽指拱拷�\".split(\"\");\nfor(j = 0; j != D[171].length; ++j) if(D[171][j].charCodeAt(0) !== 0xFFFD) { e[D[171][j]] = 43776 + j; d[43776 + j] = D[171][j];}\nD[172] = \"����������������������������������������������������������������拯括拾拴挑挂政故斫施既春昭映昧是星昨昱昤曷柿染柱柔某柬架枯柵柩柯柄柑枴柚查枸柏柞柳枰柙柢柝柒歪殃殆段毒毗氟泉洋洲洪流津洌洱洞洗����������������������������������活洽派洶洛泵洹洧洸洩洮洵洎洫炫為炳炬炯炭炸炮炤爰牲牯牴狩狠狡玷珊玻玲珍珀玳甚甭畏界畎畋疫疤疥疢疣癸皆皇皈盈盆盃盅省盹相眉看盾盼眇矜砂研砌砍祆祉祈祇禹禺科秒秋穿突竿竽籽紂紅紀紉紇約紆缸美羿耄�\".split(\"\");\nfor(j = 0; j != D[172].length; ++j) if(D[172][j].charCodeAt(0) !== 0xFFFD) { e[D[172][j]] = 44032 + j; d[44032 + j] = D[172][j];}\nD[173] = \"����������������������������������������������������������������耐耍耑耶胖胥胚胃胄背胡胛胎胞胤胝致舢苧范茅苣苛苦茄若茂茉苒苗英茁苜苔苑苞苓苟苯茆虐虹虻虺衍衫要觔計訂訃貞負赴赳趴軍軌述迦迢迪迥����������������������������������迭迫迤迨郊郎郁郃酋酊重閂限陋陌降面革韋韭音頁風飛食首香乘亳倌倍倣俯倦倥俸倩倖倆值借倚倒們俺倀倔倨俱倡個候倘俳修倭倪俾倫倉兼冤冥冢凍凌准凋剖剜剔剛剝匪卿原厝叟哨唐唁唷哼哥哲唆哺唔哩哭員唉哮哪�\".split(\"\");\nfor(j = 0; j != D[173].length; ++j) if(D[173][j].charCodeAt(0) !== 0xFFFD) { e[D[173][j]] = 44288 + j; d[44288 + j] = D[173][j];}\nD[174] = \"����������������������������������������������������������������哦唧唇哽唏圃圄埂埔埋埃堉夏套奘奚娑娘娜娟娛娓姬娠娣娩娥娌娉孫屘宰害家宴宮宵容宸射屑展屐峭峽峻峪峨峰島崁峴差席師庫庭座弱徒徑徐恙����������������������������������恣恥恐恕恭恩息悄悟悚悍悔悌悅悖扇拳挈拿捎挾振捕捂捆捏捉挺捐挽挪挫挨捍捌效敉料旁旅時晉晏晃晒晌晅晁書朔朕朗校核案框桓根桂桔栩梳栗桌桑栽柴桐桀格桃株桅栓栘桁殊殉殷氣氧氨氦氤泰浪涕消涇浦浸海浙涓�\".split(\"\");\nfor(j = 0; j != D[174].length; ++j) if(D[174][j].charCodeAt(0) !== 0xFFFD) { e[D[174][j]] = 44544 + j; d[44544 + j] = D[174][j];}\nD[175] = \"����������������������������������������������������������������浬涉浮浚浴浩涌涊浹涅浥涔烊烘烤烙烈烏爹特狼狹狽狸狷玆班琉珮珠珪珞畔畝畜畚留疾病症疲疳疽疼疹痂疸皋皰益盍盎眩真眠眨矩砰砧砸砝破砷����������������������������������砥砭砠砟砲祕祐祠祟祖神祝祗祚秤秣秧租秦秩秘窄窈站笆笑粉紡紗紋紊素索純紐紕級紜納紙紛缺罟羔翅翁耆耘耕耙耗耽耿胱脂胰脅胭胴脆胸胳脈能脊胼胯臭臬舀舐航舫舨般芻茫荒荔荊茸荐草茵茴荏茲茹茶茗荀茱茨荃�\".split(\"\");\nfor(j = 0; j != D[175].length; ++j) if(D[175][j].charCodeAt(0) !== 0xFFFD) { e[D[175][j]] = 44800 + j; d[44800 + j] = D[175][j];}\nD[176] = \"����������������������������������������������������������������虔蚊蚪蚓蚤蚩蚌蚣蚜衰衷袁袂衽衹記訐討訌訕訊託訓訖訏訑豈豺豹財貢起躬軒軔軏辱送逆迷退迺迴逃追逅迸邕郡郝郢酒配酌釘針釗釜釙閃院陣陡����������������������������������陛陝除陘陞隻飢馬骨高鬥鬲鬼乾偺偽停假偃偌做偉健偶偎偕偵側偷偏倏偯偭兜冕凰剪副勒務勘動匐匏匙匿區匾參曼商啪啦啄啞啡啃啊唱啖問啕唯啤唸售啜唬啣唳啁啗圈國圉域堅堊堆埠埤基堂堵執培夠奢娶婁婉婦婪婀�\".split(\"\");\nfor(j = 0; j != D[176].length; ++j) if(D[176][j].charCodeAt(0) !== 0xFFFD) { e[D[176][j]] = 45056 + j; d[45056 + j] = D[176][j];}\nD[177] = \"����������������������������������������������������������������娼婢婚婆婊孰寇寅寄寂宿密尉專將屠屜屝崇崆崎崛崖崢崑崩崔崙崤崧崗巢常帶帳帷康庸庶庵庾張強彗彬彩彫得徙從徘御徠徜恿患悉悠您惋悴惦悽����������������������������������情悻悵惜悼惘惕惆惟悸惚惇戚戛扈掠控捲掖探接捷捧掘措捱掩掉掃掛捫推掄授掙採掬排掏掀捻捩捨捺敝敖救教敗啟敏敘敕敔斜斛斬族旋旌旎晝晚晤晨晦晞曹勗望梁梯梢梓梵桿桶梱梧梗械梃棄梭梆梅梔條梨梟梡梂欲殺�\".split(\"\");\nfor(j = 0; j != D[177].length; ++j) if(D[177][j].charCodeAt(0) !== 0xFFFD) { e[D[177][j]] = 45312 + j; d[45312 + j] = D[177][j];}\nD[178] = \"����������������������������������������������������������������毫毬氫涎涼淳淙液淡淌淤添淺清淇淋涯淑涮淞淹涸混淵淅淒渚涵淚淫淘淪深淮淨淆淄涪淬涿淦烹焉焊烽烯爽牽犁猜猛猖猓猙率琅琊球理現琍瓠瓶����������������������������������瓷甜產略畦畢異疏痔痕疵痊痍皎盔盒盛眷眾眼眶眸眺硫硃硎祥票祭移窒窕笠笨笛第符笙笞笮粒粗粕絆絃統紮紹紼絀細紳組累終紲紱缽羞羚翌翎習耜聊聆脯脖脣脫脩脰脤舂舵舷舶船莎莞莘荸莢莖莽莫莒莊莓莉莠荷荻荼�\".split(\"\");\nfor(j = 0; j != D[178].length; ++j) if(D[178][j].charCodeAt(0) !== 0xFFFD) { e[D[178][j]] = 45568 + j; d[45568 + j] = D[178][j];}\nD[179] = \"����������������������������������������������������������������莆莧處彪蛇蛀蚶蛄蚵蛆蛋蚱蚯蛉術袞袈被袒袖袍袋覓規訪訝訣訥許設訟訛訢豉豚販責貫貨貪貧赧赦趾趺軛軟這逍通逗連速逝逐逕逞造透逢逖逛途����������������������������������部郭都酗野釵釦釣釧釭釩閉陪陵陳陸陰陴陶陷陬雀雪雩章竟頂頃魚鳥鹵鹿麥麻傢傍傅備傑傀傖傘傚最凱割剴創剩勞勝勛博厥啻喀喧啼喊喝喘喂喜喪喔喇喋喃喳單喟唾喲喚喻喬喱啾喉喫喙圍堯堪場堤堰報堡堝堠壹壺奠�\".split(\"\");\nfor(j = 0; j != D[179].length; ++j) if(D[179][j].charCodeAt(0) !== 0xFFFD) { e[D[179][j]] = 45824 + j; d[45824 + j] = D[179][j];}\nD[180] = \"����������������������������������������������������������������婷媚婿媒媛媧孳孱寒富寓寐尊尋就嵌嵐崴嵇巽幅帽幀幃幾廊廁廂廄弼彭復循徨惑惡悲悶惠愜愣惺愕惰惻惴慨惱愎惶愉愀愒戟扉掣掌描揀揩揉揆揍����������������������������������插揣提握揖揭揮捶援揪換摒揚揹敞敦敢散斑斐斯普晰晴晶景暑智晾晷曾替期朝棺棕棠棘棗椅棟棵森棧棹棒棲棣棋棍植椒椎棉棚楮棻款欺欽殘殖殼毯氮氯氬港游湔渡渲湧湊渠渥渣減湛湘渤湖湮渭渦湯渴湍渺測湃渝渾滋�\".split(\"\");\nfor(j = 0; j != D[180].length; ++j) if(D[180][j].charCodeAt(0) !== 0xFFFD) { e[D[180][j]] = 46080 + j; d[46080 + j] = D[180][j];}\nD[181] = \"����������������������������������������������������������������溉渙湎湣湄湲湩湟焙焚焦焰無然煮焜牌犄犀猶猥猴猩琺琪琳琢琥琵琶琴琯琛琦琨甥甦畫番痢痛痣痙痘痞痠登發皖皓皴盜睏短硝硬硯稍稈程稅稀窘����������������������������������窗窖童竣等策筆筐筒答筍筋筏筑粟粥絞結絨絕紫絮絲絡給絢絰絳善翔翕耋聒肅腕腔腋腑腎脹腆脾腌腓腴舒舜菩萃菸萍菠菅萋菁華菱菴著萊菰萌菌菽菲菊萸萎萄菜萇菔菟虛蛟蛙蛭蛔蛛蛤蛐蛞街裁裂袱覃視註詠評詞証詁�\".split(\"\");\nfor(j = 0; j != D[181].length; ++j) if(D[181][j].charCodeAt(0) !== 0xFFFD) { e[D[181][j]] = 46336 + j; d[46336 + j] = D[181][j];}\nD[182] = \"����������������������������������������������������������������詔詛詐詆訴診訶詖象貂貯貼貳貽賁費賀貴買貶貿貸越超趁跎距跋跚跑跌跛跆軻軸軼辜逮逵週逸進逶鄂郵鄉郾酣酥量鈔鈕鈣鈉鈞鈍鈐鈇鈑閔閏開閑����������������������������������間閒閎隊階隋陽隅隆隍陲隄雁雅雄集雇雯雲韌項順須飧飪飯飩飲飭馮馭黃黍黑亂傭債傲傳僅傾催傷傻傯僇剿剷剽募勦勤勢勣匯嗟嗨嗓嗦嗎嗜嗇嗑嗣嗤嗯嗚嗡嗅嗆嗥嗉園圓塞塑塘塗塚塔填塌塭塊塢塒塋奧嫁嫉嫌媾媽媼�\".split(\"\");\nfor(j = 0; j != D[182].length; ++j) if(D[182][j].charCodeAt(0) !== 0xFFFD) { e[D[182][j]] = 46592 + j; d[46592 + j] = D[182][j];}\nD[183] = \"����������������������������������������������������������������媳嫂媲嵩嵯幌幹廉廈弒彙徬微愚意慈感想愛惹愁愈慎慌慄慍愾愴愧愍愆愷戡戢搓搾搞搪搭搽搬搏搜搔損搶搖搗搆敬斟新暗暉暇暈暖暄暘暍會榔業����������������������������������楚楷楠楔極椰概楊楨楫楞楓楹榆楝楣楛歇歲毀殿毓毽溢溯滓溶滂源溝滇滅溥溘溼溺溫滑準溜滄滔溪溧溴煎煙煩煤煉照煜煬煦煌煥煞煆煨煖爺牒猷獅猿猾瑯瑚瑕瑟瑞瑁琿瑙瑛瑜當畸瘀痰瘁痲痱痺痿痴痳盞盟睛睫睦睞督�\".split(\"\");\nfor(j = 0; j != D[183].length; ++j) if(D[183][j].charCodeAt(0) !== 0xFFFD) { e[D[183][j]] = 46848 + j; d[46848 + j] = D[183][j];}\nD[184] = \"����������������������������������������������������������������睹睪睬睜睥睨睢矮碎碰碗碘碌碉硼碑碓硿祺祿禁萬禽稜稚稠稔稟稞窟窠筷節筠筮筧粱粳粵經絹綑綁綏絛置罩罪署義羨群聖聘肆肄腱腰腸腥腮腳腫����������������������������������腹腺腦舅艇蒂葷落萱葵葦葫葉葬葛萼萵葡董葩葭葆虞虜號蛹蜓蜈蜇蜀蛾蛻蜂蜃蜆蜊衙裟裔裙補裘裝裡裊裕裒覜解詫該詳試詩詰誇詼詣誠話誅詭詢詮詬詹詻訾詨豢貊貉賊資賈賄貲賃賂賅跡跟跨路跳跺跪跤跦躲較載軾輊�\".split(\"\");\nfor(j = 0; j != D[184].length; ++j) if(D[184][j].charCodeAt(0) !== 0xFFFD) { e[D[184][j]] = 47104 + j; d[47104 + j] = D[184][j];}\nD[185] = \"����������������������������������������������������������������辟農運遊道遂達逼違遐遇遏過遍遑逾遁鄒鄗酬酪酩釉鈷鉗鈸鈽鉀鈾鉛鉋鉤鉑鈴鉉鉍鉅鈹鈿鉚閘隘隔隕雍雋雉雊雷電雹零靖靴靶預頑頓頊頒頌飼飴����������������������������������飽飾馳馱馴髡鳩麂鼎鼓鼠僧僮僥僖僭僚僕像僑僱僎僩兢凳劃劂匱厭嗾嘀嘛嘗嗽嘔嘆嘉嘍嘎嗷嘖嘟嘈嘐嗶團圖塵塾境墓墊塹墅塽壽夥夢夤奪奩嫡嫦嫩嫗嫖嫘嫣孵寞寧寡寥實寨寢寤察對屢嶄嶇幛幣幕幗幔廓廖弊彆彰徹慇�\".split(\"\");\nfor(j = 0; j != D[185].length; ++j) if(D[185][j].charCodeAt(0) !== 0xFFFD) { e[D[185][j]] = 47360 + j; d[47360 + j] = D[185][j];}\nD[186] = \"����������������������������������������������������������������愿態慷慢慣慟慚慘慵截撇摘摔撤摸摟摺摑摧搴摭摻敲斡旗旖暢暨暝榜榨榕槁榮槓構榛榷榻榫榴槐槍榭槌榦槃榣歉歌氳漳演滾漓滴漩漾漠漬漏漂漢����������������������������������滿滯漆漱漸漲漣漕漫漯澈漪滬漁滲滌滷熔熙煽熊熄熒爾犒犖獄獐瑤瑣瑪瑰瑭甄疑瘧瘍瘋瘉瘓盡監瞄睽睿睡磁碟碧碳碩碣禎福禍種稱窪窩竭端管箕箋筵算箝箔箏箸箇箄粹粽精綻綰綜綽綾綠緊綴網綱綺綢綿綵綸維緒緇綬�\".split(\"\");\nfor(j = 0; j != D[186].length; ++j) if(D[186][j].charCodeAt(0) !== 0xFFFD) { e[D[186][j]] = 47616 + j; d[47616 + j] = D[186][j];}\nD[187] = \"����������������������������������������������������������������罰翠翡翟聞聚肇腐膀膏膈膊腿膂臧臺與舔舞艋蓉蒿蓆蓄蒙蒞蒲蒜蓋蒸蓀蓓蒐蒼蓑蓊蜿蜜蜻蜢蜥蜴蜘蝕蜷蜩裳褂裴裹裸製裨褚裯誦誌語誣認誡誓誤����������������������������������說誥誨誘誑誚誧豪貍貌賓賑賒赫趙趕跼輔輒輕輓辣遠遘遜遣遙遞遢遝遛鄙鄘鄞酵酸酷酴鉸銀銅銘銖鉻銓銜銨鉼銑閡閨閩閣閥閤隙障際雌雒需靼鞅韶頗領颯颱餃餅餌餉駁骯骰髦魁魂鳴鳶鳳麼鼻齊億儀僻僵價儂儈儉儅凜�\".split(\"\");\nfor(j = 0; j != D[187].length; ++j) if(D[187][j].charCodeAt(0) !== 0xFFFD) { e[D[187][j]] = 47872 + j; d[47872 + j] = D[187][j];}\nD[188] = \"����������������������������������������������������������������劇劈劉劍劊勰厲嘮嘻嘹嘲嘿嘴嘩噓噎噗噴嘶嘯嘰墀墟增墳墜墮墩墦奭嬉嫻嬋嫵嬌嬈寮寬審寫層履嶝嶔幢幟幡廢廚廟廝廣廠彈影德徵慶慧慮慝慕憂����������������������������������慼慰慫慾憧憐憫憎憬憚憤憔憮戮摩摯摹撞撲撈撐撰撥撓撕撩撒撮播撫撚撬撙撢撳敵敷數暮暫暴暱樣樟槨樁樞標槽模樓樊槳樂樅槭樑歐歎殤毅毆漿潼澄潑潦潔澆潭潛潸潮澎潺潰潤澗潘滕潯潠潟熟熬熱熨牖犛獎獗瑩璋璃�\".split(\"\");\nfor(j = 0; j != D[188].length; ++j) if(D[188][j].charCodeAt(0) !== 0xFFFD) { e[D[188][j]] = 48128 + j; d[48128 + j] = D[188][j];}\nD[189] = \"����������������������������������������������������������������瑾璀畿瘠瘩瘟瘤瘦瘡瘢皚皺盤瞎瞇瞌瞑瞋磋磅確磊碾磕碼磐稿稼穀稽稷稻窯窮箭箱範箴篆篇篁箠篌糊締練緯緻緘緬緝編緣線緞緩綞緙緲緹罵罷羯����������������������������������翩耦膛膜膝膠膚膘蔗蔽蔚蓮蔬蔭蔓蔑蔣蔡蔔蓬蔥蓿蔆螂蝴蝶蝠蝦蝸蝨蝙蝗蝌蝓衛衝褐複褒褓褕褊誼諒談諄誕請諸課諉諂調誰論諍誶誹諛豌豎豬賠賞賦賤賬賭賢賣賜質賡赭趟趣踫踐踝踢踏踩踟踡踞躺輝輛輟輩輦輪輜輞�\".split(\"\");\nfor(j = 0; j != D[189].length; ++j) if(D[189][j].charCodeAt(0) !== 0xFFFD) { e[D[189][j]] = 48384 + j; d[48384 + j] = D[189][j];}\nD[190] = \"����������������������������������������������������������������輥適遮遨遭遷鄰鄭鄧鄱醇醉醋醃鋅銻銷鋪銬鋤鋁銳銼鋒鋇鋰銲閭閱霄霆震霉靠鞍鞋鞏頡頫頜颳養餓餒餘駝駐駟駛駑駕駒駙骷髮髯鬧魅魄魷魯鴆鴉����������������������������������鴃麩麾黎墨齒儒儘儔儐儕冀冪凝劑劓勳噙噫噹噩噤噸噪器噥噱噯噬噢噶壁墾壇壅奮嬝嬴學寰導彊憲憑憩憊懍憶憾懊懈戰擅擁擋撻撼據擄擇擂操撿擒擔撾整曆曉暹曄曇暸樽樸樺橙橫橘樹橄橢橡橋橇樵機橈歙歷氅濂澱澡�\".split(\"\");\nfor(j = 0; j != D[190].length; ++j) if(D[190][j].charCodeAt(0) !== 0xFFFD) { e[D[190][j]] = 48640 + j; d[48640 + j] = D[190][j];}\nD[191] = \"����������������������������������������������������������������濃澤濁澧澳激澹澶澦澠澴熾燉燐燒燈燕熹燎燙燜燃燄獨璜璣璘璟璞瓢甌甍瘴瘸瘺盧盥瞠瞞瞟瞥磨磚磬磧禦積穎穆穌穋窺篙簑築篤篛篡篩篦糕糖縊����������������������������������縑縈縛縣縞縝縉縐罹羲翰翱翮耨膳膩膨臻興艘艙蕊蕙蕈蕨蕩蕃蕉蕭蕪蕞螃螟螞螢融衡褪褲褥褫褡親覦諦諺諫諱謀諜諧諮諾謁謂諷諭諳諶諼豫豭貓賴蹄踱踴蹂踹踵輻輯輸輳辨辦遵遴選遲遼遺鄴醒錠錶鋸錳錯錢鋼錫錄錚�\".split(\"\");\nfor(j = 0; j != D[191].length; ++j) if(D[191][j].charCodeAt(0) !== 0xFFFD) { e[D[191][j]] = 48896 + j; d[48896 + j] = D[191][j];}\nD[192] = \"����������������������������������������������������������������錐錦錡錕錮錙閻隧隨險雕霎霑霖霍霓霏靛靜靦鞘頰頸頻頷頭頹頤餐館餞餛餡餚駭駢駱骸骼髻髭鬨鮑鴕鴣鴦鴨鴒鴛默黔龍龜優償儡儲勵嚎嚀嚐嚅嚇����������������������������������嚏壕壓壑壎嬰嬪嬤孺尷屨嶼嶺嶽嶸幫彌徽應懂懇懦懋戲戴擎擊擘擠擰擦擬擱擢擭斂斃曙曖檀檔檄檢檜櫛檣橾檗檐檠歜殮毚氈濘濱濟濠濛濤濫濯澀濬濡濩濕濮濰燧營燮燦燥燭燬燴燠爵牆獰獲璩環璦璨癆療癌盪瞳瞪瞰瞬�\".split(\"\");\nfor(j = 0; j != D[192].length; ++j) if(D[192][j].charCodeAt(0) !== 0xFFFD) { e[D[192][j]] = 49152 + j; d[49152 + j] = D[192][j];}\nD[193] = \"����������������������������������������������������������������瞧瞭矯磷磺磴磯礁禧禪穗窿簇簍篾篷簌篠糠糜糞糢糟糙糝縮績繆縷縲繃縫總縱繅繁縴縹繈縵縿縯罄翳翼聱聲聰聯聳臆臃膺臂臀膿膽臉膾臨舉艱薪����������������������������������薄蕾薜薑薔薯薛薇薨薊虧蟀蟑螳蟒蟆螫螻螺蟈蟋褻褶襄褸褽覬謎謗謙講謊謠謝謄謐豁谿豳賺賽購賸賻趨蹉蹋蹈蹊轄輾轂轅輿避遽還邁邂邀鄹醣醞醜鍍鎂錨鍵鍊鍥鍋錘鍾鍬鍛鍰鍚鍔闊闋闌闈闆隱隸雖霜霞鞠韓顆颶餵騁�\".split(\"\");\nfor(j = 0; j != D[193].length; ++j) if(D[193][j].charCodeAt(0) !== 0xFFFD) { e[D[193][j]] = 49408 + j; d[49408 + j] = D[193][j];}\nD[194] = \"����������������������������������������������������������������駿鮮鮫鮪鮭鴻鴿麋黏點黜黝黛鼾齋叢嚕嚮壙壘嬸彝懣戳擴擲擾攆擺擻擷斷曜朦檳檬櫃檻檸櫂檮檯歟歸殯瀉瀋濾瀆濺瀑瀏燻燼燾燸獷獵璧璿甕癖癘����������������������������������癒瞽瞿瞻瞼礎禮穡穢穠竄竅簫簧簪簞簣簡糧織繕繞繚繡繒繙罈翹翻職聶臍臏舊藏薩藍藐藉薰薺薹薦蟯蟬蟲蟠覆覲觴謨謹謬謫豐贅蹙蹣蹦蹤蹟蹕軀轉轍邇邃邈醫醬釐鎔鎊鎖鎢鎳鎮鎬鎰鎘鎚鎗闔闖闐闕離雜雙雛雞霤鞣鞦�\".split(\"\");\nfor(j = 0; j != D[194].length; ++j) if(D[194][j].charCodeAt(0) !== 0xFFFD) { e[D[194][j]] = 49664 + j; d[49664 + j] = D[194][j];}\nD[195] = \"����������������������������������������������������������������鞭韹額顏題顎顓颺餾餿餽餮馥騎髁鬃鬆魏魎魍鯊鯉鯽鯈鯀鵑鵝鵠黠鼕鼬儳嚥壞壟壢寵龐廬懲懷懶懵攀攏曠曝櫥櫝櫚櫓瀛瀟瀨瀚瀝瀕瀘爆爍牘犢獸����������������������������������獺璽瓊瓣疇疆癟癡矇礙禱穫穩簾簿簸簽簷籀繫繭繹繩繪羅繳羶羹羸臘藩藝藪藕藤藥藷蟻蠅蠍蟹蟾襠襟襖襞譁譜識證譚譎譏譆譙贈贊蹼蹲躇蹶蹬蹺蹴轔轎辭邊邋醱醮鏡鏑鏟鏃鏈鏜鏝鏖鏢鏍鏘鏤鏗鏨關隴難霪霧靡韜韻類�\".split(\"\");\nfor(j = 0; j != D[195].length; ++j) if(D[195][j].charCodeAt(0) !== 0xFFFD) { e[D[195][j]] = 49920 + j; d[49920 + j] = D[195][j];}\nD[196] = \"����������������������������������������������������������������願顛颼饅饉騖騙鬍鯨鯧鯖鯛鶉鵡鵲鵪鵬麒麗麓麴勸嚨嚷嚶嚴嚼壤孀孃孽寶巉懸懺攘攔攙曦朧櫬瀾瀰瀲爐獻瓏癢癥礦礪礬礫竇競籌籃籍糯糰辮繽繼����������������������������������纂罌耀臚艦藻藹蘑藺蘆蘋蘇蘊蠔蠕襤覺觸議譬警譯譟譫贏贍躉躁躅躂醴釋鐘鐃鏽闡霰飄饒饑馨騫騰騷騵鰓鰍鹹麵黨鼯齟齣齡儷儸囁囀囂夔屬巍懼懾攝攜斕曩櫻欄櫺殲灌爛犧瓖瓔癩矓籐纏續羼蘗蘭蘚蠣蠢蠡蠟襪襬覽譴�\".split(\"\");\nfor(j = 0; j != D[196].length; ++j) if(D[196][j].charCodeAt(0) !== 0xFFFD) { e[D[196][j]] = 50176 + j; d[50176 + j] = D[196][j];}\nD[197] = \"����������������������������������������������������������������護譽贓躊躍躋轟辯醺鐮鐳鐵鐺鐸鐲鐫闢霸霹露響顧顥饗驅驃驀騾髏魔魑鰭鰥鶯鶴鷂鶸麝黯鼙齜齦齧儼儻囈囊囉孿巔巒彎懿攤權歡灑灘玀瓤疊癮癬����������������������������������禳籠籟聾聽臟襲襯觼讀贖贗躑躓轡酈鑄鑑鑒霽霾韃韁顫饕驕驍髒鬚鱉鰱鰾鰻鷓鷗鼴齬齪龔囌巖戀攣攫攪曬欐瓚竊籤籣籥纓纖纔臢蘸蘿蠱變邐邏鑣鑠鑤靨顯饜驚驛驗髓體髑鱔鱗鱖鷥麟黴囑壩攬灞癱癲矗罐羈蠶蠹衢讓讒�\".split(\"\");\nfor(j = 0; j != D[197].length; ++j) if(D[197][j].charCodeAt(0) !== 0xFFFD) { e[D[197][j]] = 50432 + j; d[50432 + j] = D[197][j];}\nD[198] = \"����������������������������������������������������������������讖艷贛釀鑪靂靈靄韆顰驟鬢魘鱟鷹鷺鹼鹽鼇齷齲廳欖灣籬籮蠻觀躡釁鑲鑰顱饞髖鬣黌灤矚讚鑷韉驢驥纜讜躪釅鑽鑾鑼鱷鱸黷豔鑿鸚爨驪鬱鸛鸞籲���������������������������������������������������������������������������������������������������������������������������������\".split(\"\");\nfor(j = 0; j != D[198].length; ++j) if(D[198][j].charCodeAt(0) !== 0xFFFD) { e[D[198][j]] = 50688 + j; d[50688 + j] = D[198][j];}\nD[201] = \"����������������������������������������������������������������乂乜凵匚厂万丌乇亍囗兀屮彳丏冇与丮亓仂仉仈冘勼卬厹圠夃夬尐巿旡殳毌气爿丱丼仨仜仩仡仝仚刌匜卌圢圣夗夯宁宄尒尻屴屳帄庀庂忉戉扐氕����������������������������������氶汃氿氻犮犰玊禸肊阞伎优伬仵伔仱伀价伈伝伂伅伢伓伄仴伒冱刓刉刐劦匢匟卍厊吇囡囟圮圪圴夼妀奼妅奻奾奷奿孖尕尥屼屺屻屾巟幵庄异弚彴忕忔忏扜扞扤扡扦扢扙扠扚扥旯旮朾朹朸朻机朿朼朳氘汆汒汜汏汊汔汋�\".split(\"\");\nfor(j = 0; j != D[201].length; ++j) if(D[201][j].charCodeAt(0) !== 0xFFFD) { e[D[201][j]] = 51456 + j; d[51456 + j] = D[201][j];}\nD[202] = \"����������������������������������������������������������������汌灱牞犴犵玎甪癿穵网艸艼芀艽艿虍襾邙邗邘邛邔阢阤阠阣佖伻佢佉体佤伾佧佒佟佁佘伭伳伿佡冏冹刜刞刡劭劮匉卣卲厎厏吰吷吪呔呅吙吜吥吘����������������������������������吽呏呁吨吤呇囮囧囥坁坅坌坉坋坒夆奀妦妘妠妗妎妢妐妏妧妡宎宒尨尪岍岏岈岋岉岒岊岆岓岕巠帊帎庋庉庌庈庍弅弝彸彶忒忑忐忭忨忮忳忡忤忣忺忯忷忻怀忴戺抃抌抎抏抔抇扱扻扺扰抁抈扷扽扲扴攷旰旴旳旲旵杅杇�\".split(\"\");\nfor(j = 0; j != D[202].length; ++j) if(D[202][j].charCodeAt(0) !== 0xFFFD) { e[D[202][j]] = 51712 + j; d[51712 + j] = D[202][j];}\nD[203] = \"����������������������������������������������������������������杙杕杌杈杝杍杚杋毐氙氚汸汧汫沄沋沏汱汯汩沚汭沇沕沜汦汳汥汻沎灴灺牣犿犽狃狆狁犺狅玕玗玓玔玒町甹疔疕皁礽耴肕肙肐肒肜芐芏芅芎芑芓����������������������������������芊芃芄豸迉辿邟邡邥邞邧邠阰阨阯阭丳侘佼侅佽侀侇佶佴侉侄佷佌侗佪侚佹侁佸侐侜侔侞侒侂侕佫佮冞冼冾刵刲刳剆刱劼匊匋匼厒厔咇呿咁咑咂咈呫呺呾呥呬呴呦咍呯呡呠咘呣呧呤囷囹坯坲坭坫坱坰坶垀坵坻坳坴坢�\".split(\"\");\nfor(j = 0; j != D[203].length; ++j) if(D[203][j].charCodeAt(0) !== 0xFFFD) { e[D[203][j]] = 51968 + j; d[51968 + j] = D[203][j];}\nD[204] = \"����������������������������������������������������������������坨坽夌奅妵妺姏姎妲姌姁妶妼姃姖妱妽姀姈妴姇孢孥宓宕屄屇岮岤岠岵岯岨岬岟岣岭岢岪岧岝岥岶岰岦帗帔帙弨弢弣弤彔徂彾彽忞忥怭怦怙怲怋����������������������������������怴怊怗怳怚怞怬怢怍怐怮怓怑怌怉怜戔戽抭抴拑抾抪抶拊抮抳抯抻抩抰抸攽斨斻昉旼昄昒昈旻昃昋昍昅旽昑昐曶朊枅杬枎枒杶杻枘枆构杴枍枌杺枟枑枙枃杽极杸杹枔欥殀歾毞氝沓泬泫泮泙沶泔沭泧沷泐泂沺泃泆泭泲�\".split(\"\");\nfor(j = 0; j != D[204].length; ++j) if(D[204][j].charCodeAt(0) !== 0xFFFD) { e[D[204][j]] = 52224 + j; d[52224 + j] = D[204][j];}\nD[205] = \"����������������������������������������������������������������泒泝沴沊沝沀泞泀洰泍泇沰泹泏泩泑炔炘炅炓炆炄炑炖炂炚炃牪狖狋狘狉狜狒狔狚狌狑玤玡玭玦玢玠玬玝瓝瓨甿畀甾疌疘皯盳盱盰盵矸矼矹矻矺����������������������������������矷祂礿秅穸穻竻籵糽耵肏肮肣肸肵肭舠芠苀芫芚芘芛芵芧芮芼芞芺芴芨芡芩苂芤苃芶芢虰虯虭虮豖迒迋迓迍迖迕迗邲邴邯邳邰阹阽阼阺陃俍俅俓侲俉俋俁俔俜俙侻侳俛俇俖侺俀侹俬剄剉勀勂匽卼厗厖厙厘咺咡咭咥哏�\".split(\"\");\nfor(j = 0; j != D[205].length; ++j) if(D[205][j].charCodeAt(0) !== 0xFFFD) { e[D[205][j]] = 52480 + j; d[52480 + j] = D[205][j];}\nD[206] = \"����������������������������������������������������������������哃茍咷咮哖咶哅哆咠呰咼咢咾呲哞咰垵垞垟垤垌垗垝垛垔垘垏垙垥垚垕壴复奓姡姞姮娀姱姝姺姽姼姶姤姲姷姛姩姳姵姠姾姴姭宨屌峐峘峌峗峋峛����������������������������������峞峚峉峇峊峖峓峔峏峈峆峎峟峸巹帡帢帣帠帤庰庤庢庛庣庥弇弮彖徆怷怹恔恲恞恅恓恇恉恛恌恀恂恟怤恄恘恦恮扂扃拏挍挋拵挎挃拫拹挏挌拸拶挀挓挔拺挕拻拰敁敃斪斿昶昡昲昵昜昦昢昳昫昺昝昴昹昮朏朐柁柲柈枺�\".split(\"\");\nfor(j = 0; j != D[206].length; ++j) if(D[206][j].charCodeAt(0) !== 0xFFFD) { e[D[206][j]] = 52736 + j; d[52736 + j] = D[206][j];}\nD[207] = \"����������������������������������������������������������������柜枻柸柘柀枷柅柫柤柟枵柍枳柷柶柮柣柂枹柎柧柰枲柼柆柭柌枮柦柛柺柉柊柃柪柋欨殂殄殶毖毘毠氠氡洨洴洭洟洼洿洒洊泚洳洄洙洺洚洑洀洝浂����������������������������������洁洘洷洃洏浀洇洠洬洈洢洉洐炷炟炾炱炰炡炴炵炩牁牉牊牬牰牳牮狊狤狨狫狟狪狦狣玅珌珂珈珅玹玶玵玴珫玿珇玾珃珆玸珋瓬瓮甮畇畈疧疪癹盄眈眃眄眅眊盷盻盺矧矨砆砑砒砅砐砏砎砉砃砓祊祌祋祅祄秕种秏秖秎窀�\".split(\"\");\nfor(j = 0; j != D[207].length; ++j) if(D[207][j].charCodeAt(0) !== 0xFFFD) { e[D[207][j]] = 52992 + j; d[52992 + j] = D[207][j];}\nD[208] = \"����������������������������������������������������������������穾竑笀笁籺籸籹籿粀粁紃紈紁罘羑羍羾耇耎耏耔耷胘胇胠胑胈胂胐胅胣胙胜胊胕胉胏胗胦胍臿舡芔苙苾苹茇苨茀苕茺苫苖苴苬苡苲苵茌苻苶苰苪����������������������������������苤苠苺苳苭虷虴虼虳衁衎衧衪衩觓訄訇赲迣迡迮迠郱邽邿郕郅邾郇郋郈釔釓陔陏陑陓陊陎倞倅倇倓倢倰倛俵俴倳倷倬俶俷倗倜倠倧倵倯倱倎党冔冓凊凄凅凈凎剡剚剒剞剟剕剢勍匎厞唦哢唗唒哧哳哤唚哿唄唈哫唑唅哱�\".split(\"\");\nfor(j = 0; j != D[208].length; ++j) if(D[208][j].charCodeAt(0) !== 0xFFFD) { e[D[208][j]] = 53248 + j; d[53248 + j] = D[208][j];}\nD[209] = \"����������������������������������������������������������������唊哻哷哸哠唎唃唋圁圂埌堲埕埒垺埆垽垼垸垶垿埇埐垹埁夎奊娙娖娭娮娕娏娗娊娞娳孬宧宭宬尃屖屔峬峿峮峱峷崀峹帩帨庨庮庪庬弳弰彧恝恚恧����������������������������������恁悢悈悀悒悁悝悃悕悛悗悇悜悎戙扆拲挐捖挬捄捅挶捃揤挹捋捊挼挩捁挴捘捔捙挭捇挳捚捑挸捗捀捈敊敆旆旃旄旂晊晟晇晑朒朓栟栚桉栲栳栻桋桏栖栱栜栵栫栭栯桎桄栴栝栒栔栦栨栮桍栺栥栠欬欯欭欱欴歭肂殈毦毤�\".split(\"\");\nfor(j = 0; j != D[209].length; ++j) if(D[209][j].charCodeAt(0) !== 0xFFFD) { e[D[209][j]] = 53504 + j; d[53504 + j] = D[209][j];}\nD[210] = \"����������������������������������������������������������������毨毣毢毧氥浺浣浤浶洍浡涒浘浢浭浯涑涍淯浿涆浞浧浠涗浰浼浟涂涘洯浨涋浾涀涄洖涃浻浽浵涐烜烓烑烝烋缹烢烗烒烞烠烔烍烅烆烇烚烎烡牂牸����������������������������������牷牶猀狺狴狾狶狳狻猁珓珙珥珖玼珧珣珩珜珒珛珔珝珚珗珘珨瓞瓟瓴瓵甡畛畟疰痁疻痄痀疿疶疺皊盉眝眛眐眓眒眣眑眕眙眚眢眧砣砬砢砵砯砨砮砫砡砩砳砪砱祔祛祏祜祓祒祑秫秬秠秮秭秪秜秞秝窆窉窅窋窌窊窇竘笐�\".split(\"\");\nfor(j = 0; j != D[210].length; ++j) if(D[210][j].charCodeAt(0) !== 0xFFFD) { e[D[210][j]] = 53760 + j; d[53760 + j] = D[210][j];}\nD[211] = \"����������������������������������������������������������������笄笓笅笏笈笊笎笉笒粄粑粊粌粈粍粅紞紝紑紎紘紖紓紟紒紏紌罜罡罞罠罝罛羖羒翃翂翀耖耾耹胺胲胹胵脁胻脀舁舯舥茳茭荄茙荑茥荖茿荁茦茜茢����������������������������������荂荎茛茪茈茼荍茖茤茠茷茯茩荇荅荌荓茞茬荋茧荈虓虒蚢蚨蚖蚍蚑蚞蚇蚗蚆蚋蚚蚅蚥蚙蚡蚧蚕蚘蚎蚝蚐蚔衃衄衭衵衶衲袀衱衿衯袃衾衴衼訒豇豗豻貤貣赶赸趵趷趶軑軓迾迵适迿迻逄迼迶郖郠郙郚郣郟郥郘郛郗郜郤酐�\".split(\"\");\nfor(j = 0; j != D[211].length; ++j) if(D[211][j].charCodeAt(0) !== 0xFFFD) { e[D[211][j]] = 54016 + j; d[54016 + j] = D[211][j];}\nD[212] = \"����������������������������������������������������������������酎酏釕釢釚陜陟隼飣髟鬯乿偰偪偡偞偠偓偋偝偲偈偍偁偛偊偢倕偅偟偩偫偣偤偆偀偮偳偗偑凐剫剭剬剮勖勓匭厜啵啶唼啍啐唴唪啑啢唶唵唰啒啅����������������������������������唌唲啥啎唹啈唭唻啀啋圊圇埻堔埢埶埜埴堀埭埽堈埸堋埳埏堇埮埣埲埥埬埡堎埼堐埧堁堌埱埩埰堍堄奜婠婘婕婧婞娸娵婭婐婟婥婬婓婤婗婃婝婒婄婛婈媎娾婍娹婌婰婩婇婑婖婂婜孲孮寁寀屙崞崋崝崚崠崌崨崍崦崥崏�\".split(\"\");\nfor(j = 0; j != D[212].length; ++j) if(D[212][j].charCodeAt(0) !== 0xFFFD) { e[D[212][j]] = 54272 + j; d[54272 + j] = D[212][j];}\nD[213] = \"����������������������������������������������������������������崰崒崣崟崮帾帴庱庴庹庲庳弶弸徛徖徟悊悐悆悾悰悺惓惔惏惤惙惝惈悱惛悷惊悿惃惍惀挲捥掊掂捽掽掞掭掝掗掫掎捯掇掐据掯捵掜捭掮捼掤挻掟����������������������������������捸掅掁掑掍捰敓旍晥晡晛晙晜晢朘桹梇梐梜桭桮梮梫楖桯梣梬梩桵桴梲梏桷梒桼桫桲梪梀桱桾梛梖梋梠梉梤桸桻梑梌梊桽欶欳欷欸殑殏殍殎殌氪淀涫涴涳湴涬淩淢涷淶淔渀淈淠淟淖涾淥淜淝淛淴淊涽淭淰涺淕淂淏淉�\".split(\"\");\nfor(j = 0; j != D[213].length; ++j) if(D[213][j].charCodeAt(0) !== 0xFFFD) { e[D[213][j]] = 54528 + j; d[54528 + j] = D[213][j];}\nD[214] = \"����������������������������������������������������������������淐淲淓淽淗淍淣涻烺焍烷焗烴焌烰焄烳焐烼烿焆焓焀烸烶焋焂焎牾牻牼牿猝猗猇猑猘猊猈狿猏猞玈珶珸珵琄琁珽琇琀珺珼珿琌琋珴琈畤畣痎痒痏����������������������������������痋痌痑痐皏皉盓眹眯眭眱眲眴眳眽眥眻眵硈硒硉硍硊硌砦硅硐祤祧祩祪祣祫祡离秺秸秶秷窏窔窐笵筇笴笥笰笢笤笳笘笪笝笱笫笭笯笲笸笚笣粔粘粖粣紵紽紸紶紺絅紬紩絁絇紾紿絊紻紨罣羕羜羝羛翊翋翍翐翑翇翏翉耟�\".split(\"\");\nfor(j = 0; j != D[214].length; ++j) if(D[214][j].charCodeAt(0) !== 0xFFFD) { e[D[214][j]] = 54784 + j; d[54784 + j] = D[214][j];}\nD[215] = \"����������������������������������������������������������������耞耛聇聃聈脘脥脙脛脭脟脬脞脡脕脧脝脢舑舸舳舺舴舲艴莐莣莨莍荺荳莤荴莏莁莕莙荵莔莩荽莃莌莝莛莪莋荾莥莯莈莗莰荿莦莇莮荶莚虙虖蚿蚷����������������������������������蛂蛁蛅蚺蚰蛈蚹蚳蚸蛌蚴蚻蚼蛃蚽蚾衒袉袕袨袢袪袚袑袡袟袘袧袙袛袗袤袬袌袓袎覂觖觙觕訰訧訬訞谹谻豜豝豽貥赽赻赹趼跂趹趿跁軘軞軝軜軗軠軡逤逋逑逜逌逡郯郪郰郴郲郳郔郫郬郩酖酘酚酓酕釬釴釱釳釸釤釹釪�\".split(\"\");\nfor(j = 0; j != D[215].length; ++j) if(D[215][j].charCodeAt(0) !== 0xFFFD) { e[D[215][j]] = 55040 + j; d[55040 + j] = D[215][j];}\nD[216] = \"����������������������������������������������������������������釫釷釨釮镺閆閈陼陭陫陱陯隿靪頄飥馗傛傕傔傞傋傣傃傌傎傝偨傜傒傂傇兟凔匒匑厤厧喑喨喥喭啷噅喢喓喈喏喵喁喣喒喤啽喌喦啿喕喡喎圌堩堷����������������������������������堙堞堧堣堨埵塈堥堜堛堳堿堶堮堹堸堭堬堻奡媯媔媟婺媢媞婸媦婼媥媬媕媮娷媄媊媗媃媋媩婻婽媌媜媏媓媝寪寍寋寔寑寊寎尌尰崷嵃嵫嵁嵋崿崵嵑嵎嵕崳崺嵒崽崱嵙嵂崹嵉崸崼崲崶嵀嵅幄幁彘徦徥徫惉悹惌惢惎惄愔�\".split(\"\");\nfor(j = 0; j != D[216].length; ++j) if(D[216][j].charCodeAt(0) !== 0xFFFD) { e[D[216][j]] = 55296 + j; d[55296 + j] = D[216][j];}\nD[217] = \"����������������������������������������������������������������惲愊愖愅惵愓惸惼惾惁愃愘愝愐惿愄愋扊掔掱掰揎揥揨揯揃撝揳揊揠揶揕揲揵摡揟掾揝揜揄揘揓揂揇揌揋揈揰揗揙攲敧敪敤敜敨敥斌斝斞斮旐旒����������������������������������晼晬晻暀晱晹晪晲朁椌棓椄棜椪棬棪棱椏棖棷棫棤棶椓椐棳棡椇棌椈楰梴椑棯棆椔棸棐棽棼棨椋椊椗棎棈棝棞棦棴棑椆棔棩椕椥棇欹欻欿欼殔殗殙殕殽毰毲毳氰淼湆湇渟湉溈渼渽湅湢渫渿湁湝湳渜渳湋湀湑渻渃渮湞�\".split(\"\");\nfor(j = 0; j != D[217].length; ++j) if(D[217][j].charCodeAt(0) !== 0xFFFD) { e[D[217][j]] = 55552 + j; d[55552 + j] = D[217][j];}\nD[218] = \"����������������������������������������������������������������湨湜湡渱渨湠湱湫渹渢渰湓湥渧湸湤湷湕湹湒湦渵渶湚焠焞焯烻焮焱焣焥焢焲焟焨焺焛牋牚犈犉犆犅犋猒猋猰猢猱猳猧猲猭猦猣猵猌琮琬琰琫琖����������������������������������琚琡琭琱琤琣琝琩琠琲瓻甯畯畬痧痚痡痦痝痟痤痗皕皒盚睆睇睄睍睅睊睎睋睌矞矬硠硤硥硜硭硱硪确硰硩硨硞硢祴祳祲祰稂稊稃稌稄窙竦竤筊笻筄筈筌筎筀筘筅粢粞粨粡絘絯絣絓絖絧絪絏絭絜絫絒絔絩絑絟絎缾缿罥�\".split(\"\");\nfor(j = 0; j != D[218].length; ++j) if(D[218][j].charCodeAt(0) !== 0xFFFD) { e[D[218][j]] = 55808 + j; d[55808 + j] = D[218][j];}\nD[219] = \"����������������������������������������������������������������罦羢羠羡翗聑聏聐胾胔腃腊腒腏腇脽腍脺臦臮臷臸臹舄舼舽舿艵茻菏菹萣菀菨萒菧菤菼菶萐菆菈菫菣莿萁菝菥菘菿菡菋菎菖菵菉萉萏菞萑萆菂菳����������������������������������菕菺菇菑菪萓菃菬菮菄菻菗菢萛菛菾蛘蛢蛦蛓蛣蛚蛪蛝蛫蛜蛬蛩蛗蛨蛑衈衖衕袺裗袹袸裀袾袶袼袷袽袲褁裉覕覘覗觝觚觛詎詍訹詙詀詗詘詄詅詒詈詑詊詌詏豟貁貀貺貾貰貹貵趄趀趉跘跓跍跇跖跜跏跕跙跈跗跅軯軷軺�\".split(\"\");\nfor(j = 0; j != D[219].length; ++j) if(D[219][j].charCodeAt(0) !== 0xFFFD) { e[D[219][j]] = 56064 + j; d[56064 + j] = D[219][j];}\nD[220] = \"����������������������������������������������������������������軹軦軮軥軵軧軨軶軫軱軬軴軩逭逴逯鄆鄬鄄郿郼鄈郹郻鄁鄀鄇鄅鄃酡酤酟酢酠鈁鈊鈥鈃鈚鈦鈏鈌鈀鈒釿釽鈆鈄鈧鈂鈜鈤鈙鈗鈅鈖镻閍閌閐隇陾隈����������������������������������隉隃隀雂雈雃雱雰靬靰靮頇颩飫鳦黹亃亄亶傽傿僆傮僄僊傴僈僂傰僁傺傱僋僉傶傸凗剺剸剻剼嗃嗛嗌嗐嗋嗊嗝嗀嗔嗄嗩喿嗒喍嗏嗕嗢嗖嗈嗲嗍嗙嗂圔塓塨塤塏塍塉塯塕塎塝塙塥塛堽塣塱壼嫇嫄嫋媺媸媱媵媰媿嫈媻嫆�\".split(\"\");\nfor(j = 0; j != D[220].length; ++j) if(D[220][j].charCodeAt(0) !== 0xFFFD) { e[D[220][j]] = 56320 + j; d[56320 + j] = D[220][j];}\nD[221] = \"����������������������������������������������������������������媷嫀嫊媴媶嫍媹媐寖寘寙尟尳嵱嵣嵊嵥嵲嵬嵞嵨嵧嵢巰幏幎幊幍幋廅廌廆廋廇彀徯徭惷慉慊愫慅愶愲愮慆愯慏愩慀戠酨戣戥戤揅揱揫搐搒搉搠搤����������������������������������搳摃搟搕搘搹搷搢搣搌搦搰搨摁搵搯搊搚摀搥搧搋揧搛搮搡搎敯斒旓暆暌暕暐暋暊暙暔晸朠楦楟椸楎楢楱椿楅楪椹楂楗楙楺楈楉椵楬椳椽楥棰楸椴楩楀楯楄楶楘楁楴楌椻楋椷楜楏楑椲楒椯楻椼歆歅歃歂歈歁殛嗀毻毼�\".split(\"\");\nfor(j = 0; j != D[221].length; ++j) if(D[221][j].charCodeAt(0) !== 0xFFFD) { e[D[221][j]] = 56576 + j; d[56576 + j] = D[221][j];}\nD[222] = \"����������������������������������������������������������������毹毷毸溛滖滈溏滀溟溓溔溠溱溹滆滒溽滁溞滉溷溰滍溦滏溲溾滃滜滘溙溒溎溍溤溡溿溳滐滊溗溮溣煇煔煒煣煠煁煝煢煲煸煪煡煂煘煃煋煰煟煐煓����������������������������������煄煍煚牏犍犌犑犐犎猼獂猻猺獀獊獉瑄瑊瑋瑒瑑瑗瑀瑏瑐瑎瑂瑆瑍瑔瓡瓿瓾瓽甝畹畷榃痯瘏瘃痷痾痼痹痸瘐痻痶痭痵痽皙皵盝睕睟睠睒睖睚睩睧睔睙睭矠碇碚碔碏碄碕碅碆碡碃硹碙碀碖硻祼禂祽祹稑稘稙稒稗稕稢稓�\".split(\"\");\nfor(j = 0; j != D[222].length; ++j) if(D[222][j].charCodeAt(0) !== 0xFFFD) { e[D[222][j]] = 56832 + j; d[56832 + j] = D[222][j];}\nD[223] = \"����������������������������������������������������������������稛稐窣窢窞竫筦筤筭筴筩筲筥筳筱筰筡筸筶筣粲粴粯綈綆綀綍絿綅絺綎絻綃絼綌綔綄絽綒罭罫罧罨罬羦羥羧翛翜耡腤腠腷腜腩腛腢腲朡腞腶腧腯����������������������������������腄腡舝艉艄艀艂艅蓱萿葖葶葹蒏蒍葥葑葀蒆葧萰葍葽葚葙葴葳葝蔇葞萷萺萴葺葃葸萲葅萩菙葋萯葂萭葟葰萹葎葌葒葯蓅蒎萻葇萶萳葨葾葄萫葠葔葮葐蜋蜄蛷蜌蛺蛖蛵蝍蛸蜎蜉蜁蛶蜍蜅裖裋裍裎裞裛裚裌裐覅覛觟觥觤�\".split(\"\");\nfor(j = 0; j != D[223].length; ++j) if(D[223][j].charCodeAt(0) !== 0xFFFD) { e[D[223][j]] = 57088 + j; d[57088 + j] = D[223][j];}\nD[224] = \"����������������������������������������������������������������觡觠觢觜触詶誆詿詡訿詷誂誄詵誃誁詴詺谼豋豊豥豤豦貆貄貅賌赨赩趑趌趎趏趍趓趔趐趒跰跠跬跱跮跐跩跣跢跧跲跫跴輆軿輁輀輅輇輈輂輋遒逿����������������������������������遄遉逽鄐鄍鄏鄑鄖鄔鄋鄎酮酯鉈鉒鈰鈺鉦鈳鉥鉞銃鈮鉊鉆鉭鉬鉏鉠鉧鉯鈶鉡鉰鈱鉔鉣鉐鉲鉎鉓鉌鉖鈲閟閜閞閛隒隓隑隗雎雺雽雸雵靳靷靸靲頏頍頎颬飶飹馯馲馰馵骭骫魛鳪鳭鳧麀黽僦僔僗僨僳僛僪僝僤僓僬僰僯僣僠�\".split(\"\");\nfor(j = 0; j != D[224].length; ++j) if(D[224][j].charCodeAt(0) !== 0xFFFD) { e[D[224][j]] = 57344 + j; d[57344 + j] = D[224][j];}\nD[225] = \"����������������������������������������������������������������凘劀劁勩勫匰厬嘧嘕嘌嘒嗼嘏嘜嘁嘓嘂嗺嘝嘄嗿嗹墉塼墐墘墆墁塿塴墋塺墇墑墎塶墂墈塻墔墏壾奫嫜嫮嫥嫕嫪嫚嫭嫫嫳嫢嫠嫛嫬嫞嫝嫙嫨嫟孷寠����������������������������������寣屣嶂嶀嵽嶆嵺嶁嵷嶊嶉嶈嵾嵼嶍嵹嵿幘幙幓廘廑廗廎廜廕廙廒廔彄彃彯徶愬愨慁慞慱慳慒慓慲慬憀慴慔慺慛慥愻慪慡慖戩戧戫搫摍摛摝摴摶摲摳摽摵摦撦摎撂摞摜摋摓摠摐摿搿摬摫摙摥摷敳斠暡暠暟朅朄朢榱榶槉�\".split(\"\");\nfor(j = 0; j != D[225].length; ++j) if(D[225][j].charCodeAt(0) !== 0xFFFD) { e[D[225][j]] = 57600 + j; d[57600 + j] = D[225][j];}\nD[226] = \"����������������������������������������������������������������榠槎榖榰榬榼榑榙榎榧榍榩榾榯榿槄榽榤槔榹槊榚槏榳榓榪榡榞槙榗榐槂榵榥槆歊歍歋殞殟殠毃毄毾滎滵滱漃漥滸漷滻漮漉潎漙漚漧漘漻漒滭漊����������������������������������漶潳滹滮漭潀漰漼漵滫漇漎潃漅滽滶漹漜滼漺漟漍漞漈漡熇熐熉熀熅熂熏煻熆熁熗牄牓犗犕犓獃獍獑獌瑢瑳瑱瑵瑲瑧瑮甀甂甃畽疐瘖瘈瘌瘕瘑瘊瘔皸瞁睼瞅瞂睮瞀睯睾瞃碲碪碴碭碨硾碫碞碥碠碬碢碤禘禊禋禖禕禔禓�\".split(\"\");\nfor(j = 0; j != D[226].length; ++j) if(D[226][j].charCodeAt(0) !== 0xFFFD) { e[D[226][j]] = 57856 + j; d[57856 + j] = D[226][j];}\nD[227] = \"����������������������������������������������������������������禗禈禒禐稫穊稰稯稨稦窨窫窬竮箈箜箊箑箐箖箍箌箛箎箅箘劄箙箤箂粻粿粼粺綧綷緂綣綪緁緀緅綝緎緄緆緋緌綯綹綖綼綟綦綮綩綡緉罳翢翣翥翞����������������������������������耤聝聜膉膆膃膇膍膌膋舕蒗蒤蒡蒟蒺蓎蓂蒬蒮蒫蒹蒴蓁蓍蒪蒚蒱蓐蒝蒧蒻蒢蒔蓇蓌蒛蒩蒯蒨蓖蒘蒶蓏蒠蓗蓔蓒蓛蒰蒑虡蜳蜣蜨蝫蝀蜮蜞蜡蜙蜛蝃蜬蝁蜾蝆蜠蜲蜪蜭蜼蜒蜺蜱蜵蝂蜦蜧蜸蜤蜚蜰蜑裷裧裱裲裺裾裮裼裶裻�\".split(\"\");\nfor(j = 0; j != D[227].length; ++j) if(D[227][j].charCodeAt(0) !== 0xFFFD) { e[D[227][j]] = 58112 + j; d[58112 + j] = D[227][j];}\nD[228] = \"����������������������������������������������������������������裰裬裫覝覡覟覞觩觫觨誫誙誋誒誏誖谽豨豩賕賏賗趖踉踂跿踍跽踊踃踇踆踅跾踀踄輐輑輎輍鄣鄜鄠鄢鄟鄝鄚鄤鄡鄛酺酲酹酳銥銤鉶銛鉺銠銔銪銍����������������������������������銦銚銫鉹銗鉿銣鋮銎銂銕銢鉽銈銡銊銆銌銙銧鉾銇銩銝銋鈭隞隡雿靘靽靺靾鞃鞀鞂靻鞄鞁靿韎韍頖颭颮餂餀餇馝馜駃馹馻馺駂馽駇骱髣髧鬾鬿魠魡魟鳱鳲鳵麧僿儃儰僸儆儇僶僾儋儌僽儊劋劌勱勯噈噂噌嘵噁噊噉噆噘�\".split(\"\");\nfor(j = 0; j != D[228].length; ++j) if(D[228][j].charCodeAt(0) !== 0xFFFD) { e[D[228][j]] = 58368 + j; d[58368 + j] = D[228][j];}\nD[229] = \"����������������������������������������������������������������噚噀嘳嘽嘬嘾嘸嘪嘺圚墫墝墱墠墣墯墬墥墡壿嫿嫴嫽嫷嫶嬃嫸嬂嫹嬁嬇嬅嬏屧嶙嶗嶟嶒嶢嶓嶕嶠嶜嶡嶚嶞幩幝幠幜緳廛廞廡彉徲憋憃慹憱憰憢憉����������������������������������憛憓憯憭憟憒憪憡憍慦憳戭摮摰撖撠撅撗撜撏撋撊撌撣撟摨撱撘敶敺敹敻斲斳暵暰暩暲暷暪暯樀樆樗槥槸樕槱槤樠槿槬槢樛樝槾樧槲槮樔槷槧橀樈槦槻樍槼槫樉樄樘樥樏槶樦樇槴樖歑殥殣殢殦氁氀毿氂潁漦潾澇濆澒�\".split(\"\");\nfor(j = 0; j != D[229].length; ++j) if(D[229][j].charCodeAt(0) !== 0xFFFD) { e[D[229][j]] = 58624 + j; d[58624 + j] = D[229][j];}\nD[230] = \"����������������������������������������������������������������澍澉澌潢潏澅潚澖潶潬澂潕潲潒潐潗澔澓潝漀潡潫潽潧澐潓澋潩潿澕潣潷潪潻熲熯熛熰熠熚熩熵熝熥熞熤熡熪熜熧熳犘犚獘獒獞獟獠獝獛獡獚獙����������������������������������獢璇璉璊璆璁瑽璅璈瑼瑹甈甇畾瘥瘞瘙瘝瘜瘣瘚瘨瘛皜皝皞皛瞍瞏瞉瞈磍碻磏磌磑磎磔磈磃磄磉禚禡禠禜禢禛歶稹窲窴窳箷篋箾箬篎箯箹篊箵糅糈糌糋緷緛緪緧緗緡縃緺緦緶緱緰緮緟罶羬羰羭翭翫翪翬翦翨聤聧膣膟�\".split(\"\");\nfor(j = 0; j != D[230].length; ++j) if(D[230][j].charCodeAt(0) !== 0xFFFD) { e[D[230][j]] = 58880 + j; d[58880 + j] = D[230][j];}\nD[231] = \"����������������������������������������������������������������膞膕膢膙膗舖艏艓艒艐艎艑蔤蔻蔏蔀蔩蔎蔉蔍蔟蔊蔧蔜蓻蔫蓺蔈蔌蓴蔪蓲蔕蓷蓫蓳蓼蔒蓪蓩蔖蓾蔨蔝蔮蔂蓽蔞蓶蔱蔦蓧蓨蓰蓯蓹蔘蔠蔰蔋蔙蔯虢����������������������������������蝖蝣蝤蝷蟡蝳蝘蝔蝛蝒蝡蝚蝑蝞蝭蝪蝐蝎蝟蝝蝯蝬蝺蝮蝜蝥蝏蝻蝵蝢蝧蝩衚褅褌褔褋褗褘褙褆褖褑褎褉覢覤覣觭觰觬諏諆誸諓諑諔諕誻諗誾諀諅諘諃誺誽諙谾豍貏賥賟賙賨賚賝賧趠趜趡趛踠踣踥踤踮踕踛踖踑踙踦踧�\".split(\"\");\nfor(j = 0; j != D[231].length; ++j) if(D[231][j].charCodeAt(0) !== 0xFFFD) { e[D[231][j]] = 59136 + j; d[59136 + j] = D[231][j];}\nD[232] = \"����������������������������������������������������������������踔踒踘踓踜踗踚輬輤輘輚輠輣輖輗遳遰遯遧遫鄯鄫鄩鄪鄲鄦鄮醅醆醊醁醂醄醀鋐鋃鋄鋀鋙銶鋏鋱鋟鋘鋩鋗鋝鋌鋯鋂鋨鋊鋈鋎鋦鋍鋕鋉鋠鋞鋧鋑鋓����������������������������������銵鋡鋆銴镼閬閫閮閰隤隢雓霅霈霂靚鞊鞎鞈韐韏頞頝頦頩頨頠頛頧颲餈飺餑餔餖餗餕駜駍駏駓駔駎駉駖駘駋駗駌骳髬髫髳髲髱魆魃魧魴魱魦魶魵魰魨魤魬鳼鳺鳽鳿鳷鴇鴀鳹鳻鴈鴅鴄麃黓鼏鼐儜儓儗儚儑凞匴叡噰噠噮�\".split(\"\");\nfor(j = 0; j != D[232].length; ++j) if(D[232][j].charCodeAt(0) !== 0xFFFD) { e[D[232][j]] = 59392 + j; d[59392 + j] = D[232][j];}\nD[233] = \"����������������������������������������������������������������噳噦噣噭噲噞噷圜圛壈墽壉墿墺壂墼壆嬗嬙嬛嬡嬔嬓嬐嬖嬨嬚嬠嬞寯嶬嶱嶩嶧嶵嶰嶮嶪嶨嶲嶭嶯嶴幧幨幦幯廩廧廦廨廥彋徼憝憨憖懅憴懆懁懌憺����������������������������������憿憸憌擗擖擐擏擉撽撉擃擛擳擙攳敿敼斢曈暾曀曊曋曏暽暻暺曌朣樴橦橉橧樲橨樾橝橭橶橛橑樨橚樻樿橁橪橤橐橏橔橯橩橠樼橞橖橕橍橎橆歕歔歖殧殪殫毈毇氄氃氆澭濋澣濇澼濎濈潞濄澽澞濊澨瀄澥澮澺澬澪濏澿澸�\".split(\"\");\nfor(j = 0; j != D[233].length; ++j) if(D[233][j].charCodeAt(0) !== 0xFFFD) { e[D[233][j]] = 59648 + j; d[59648 + j] = D[233][j];}\nD[234] = \"����������������������������������������������������������������澢濉澫濍澯澲澰燅燂熿熸燖燀燁燋燔燊燇燏熽燘熼燆燚燛犝犞獩獦獧獬獥獫獪瑿璚璠璔璒璕璡甋疀瘯瘭瘱瘽瘳瘼瘵瘲瘰皻盦瞚瞝瞡瞜瞛瞢瞣瞕瞙����������������������������������瞗磝磩磥磪磞磣磛磡磢磭磟磠禤穄穈穇窶窸窵窱窷篞篣篧篝篕篥篚篨篹篔篪篢篜篫篘篟糒糔糗糐糑縒縡縗縌縟縠縓縎縜縕縚縢縋縏縖縍縔縥縤罃罻罼罺羱翯耪耩聬膱膦膮膹膵膫膰膬膴膲膷膧臲艕艖艗蕖蕅蕫蕍蕓蕡蕘�\".split(\"\");\nfor(j = 0; j != D[234].length; ++j) if(D[234][j].charCodeAt(0) !== 0xFFFD) { e[D[234][j]] = 59904 + j; d[59904 + j] = D[234][j];}\nD[235] = \"����������������������������������������������������������������蕀蕆蕤蕁蕢蕄蕑蕇蕣蔾蕛蕱蕎蕮蕵蕕蕧蕠薌蕦蕝蕔蕥蕬虣虥虤螛螏螗螓螒螈螁螖螘蝹螇螣螅螐螑螝螄螔螜螚螉褞褦褰褭褮褧褱褢褩褣褯褬褟觱諠����������������������������������諢諲諴諵諝謔諤諟諰諈諞諡諨諿諯諻貑貒貐賵賮賱賰賳赬赮趥趧踳踾踸蹀蹅踶踼踽蹁踰踿躽輶輮輵輲輹輷輴遶遹遻邆郺鄳鄵鄶醓醐醑醍醏錧錞錈錟錆錏鍺錸錼錛錣錒錁鍆錭錎錍鋋錝鋺錥錓鋹鋷錴錂錤鋿錩錹錵錪錔錌�\".split(\"\");\nfor(j = 0; j != D[235].length; ++j) if(D[235][j].charCodeAt(0) !== 0xFFFD) { e[D[235][j]] = 60160 + j; d[60160 + j] = D[235][j];}\nD[236] = \"����������������������������������������������������������������錋鋾錉錀鋻錖閼闍閾閹閺閶閿閵閽隩雔霋霒霐鞙鞗鞔韰韸頵頯頲餤餟餧餩馞駮駬駥駤駰駣駪駩駧骹骿骴骻髶髺髹髷鬳鮀鮅鮇魼魾魻鮂鮓鮒鮐魺鮕����������������������������������魽鮈鴥鴗鴠鴞鴔鴩鴝鴘鴢鴐鴙鴟麈麆麇麮麭黕黖黺鼒鼽儦儥儢儤儠儩勴嚓嚌嚍嚆嚄嚃噾嚂噿嚁壖壔壏壒嬭嬥嬲嬣嬬嬧嬦嬯嬮孻寱寲嶷幬幪徾徻懃憵憼懧懠懥懤懨懞擯擩擣擫擤擨斁斀斶旚曒檍檖檁檥檉檟檛檡檞檇檓檎�\".split(\"\");\nfor(j = 0; j != D[236].length; ++j) if(D[236][j].charCodeAt(0) !== 0xFFFD) { e[D[236][j]] = 60416 + j; d[60416 + j] = D[236][j];}\nD[237] = \"����������������������������������������������������������������檕檃檨檤檑橿檦檚檅檌檒歛殭氉濌澩濴濔濣濜濭濧濦濞濲濝濢濨燡燱燨燲燤燰燢獳獮獯璗璲璫璐璪璭璱璥璯甐甑甒甏疄癃癈癉癇皤盩瞵瞫瞲瞷瞶����������������������������������瞴瞱瞨矰磳磽礂磻磼磲礅磹磾礄禫禨穜穛穖穘穔穚窾竀竁簅簏篲簀篿篻簎篴簋篳簂簉簃簁篸篽簆篰篱簐簊糨縭縼繂縳顈縸縪繉繀繇縩繌縰縻縶繄縺罅罿罾罽翴翲耬膻臄臌臊臅臇膼臩艛艚艜薃薀薏薧薕薠薋薣蕻薤薚薞�\".split(\"\");\nfor(j = 0; j != D[237].length; ++j) if(D[237][j].charCodeAt(0) !== 0xFFFD) { e[D[237][j]] = 60672 + j; d[60672 + j] = D[237][j];}\nD[238] = \"����������������������������������������������������������������蕷蕼薉薡蕺蕸蕗薎薖薆薍薙薝薁薢薂薈薅蕹蕶薘薐薟虨螾螪螭蟅螰螬螹螵螼螮蟉蟃蟂蟌螷螯蟄蟊螴螶螿螸螽蟞螲褵褳褼褾襁襒褷襂覭覯覮觲觳謞����������������������������������謘謖謑謅謋謢謏謒謕謇謍謈謆謜謓謚豏豰豲豱豯貕貔賹赯蹎蹍蹓蹐蹌蹇轃轀邅遾鄸醚醢醛醙醟醡醝醠鎡鎃鎯鍤鍖鍇鍼鍘鍜鍶鍉鍐鍑鍠鍭鎏鍌鍪鍹鍗鍕鍒鍏鍱鍷鍻鍡鍞鍣鍧鎀鍎鍙闇闀闉闃闅閷隮隰隬霠霟霘霝霙鞚鞡鞜�\".split(\"\");\nfor(j = 0; j != D[238].length; ++j) if(D[238][j].charCodeAt(0) !== 0xFFFD) { e[D[238][j]] = 60928 + j; d[60928 + j] = D[238][j];}\nD[239] = \"����������������������������������������������������������������鞞鞝韕韔韱顁顄顊顉顅顃餥餫餬餪餳餲餯餭餱餰馘馣馡騂駺駴駷駹駸駶駻駽駾駼騃骾髾髽鬁髼魈鮚鮨鮞鮛鮦鮡鮥鮤鮆鮢鮠鮯鴳鵁鵧鴶鴮鴯鴱鴸鴰����������������������������������鵅鵂鵃鴾鴷鵀鴽翵鴭麊麉麍麰黈黚黻黿鼤鼣鼢齔龠儱儭儮嚘嚜嚗嚚嚝嚙奰嬼屩屪巀幭幮懘懟懭懮懱懪懰懫懖懩擿攄擽擸攁攃擼斔旛曚曛曘櫅檹檽櫡櫆檺檶檷櫇檴檭歞毉氋瀇瀌瀍瀁瀅瀔瀎濿瀀濻瀦濼濷瀊爁燿燹爃燽獶�\".split(\"\");\nfor(j = 0; j != D[239].length; ++j) if(D[239][j].charCodeAt(0) !== 0xFFFD) { e[D[239][j]] = 61184 + j; d[61184 + j] = D[239][j];}\nD[240] = \"����������������������������������������������������������������璸瓀璵瓁璾璶璻瓂甔甓癜癤癙癐癓癗癚皦皽盬矂瞺磿礌礓礔礉礐礒礑禭禬穟簜簩簙簠簟簭簝簦簨簢簥簰繜繐繖繣繘繢繟繑繠繗繓羵羳翷翸聵臑臒����������������������������������臐艟艞薴藆藀藃藂薳薵薽藇藄薿藋藎藈藅薱薶藒蘤薸薷薾虩蟧蟦蟢蟛蟫蟪蟥蟟蟳蟤蟔蟜蟓蟭蟘蟣螤蟗蟙蠁蟴蟨蟝襓襋襏襌襆襐襑襉謪謧謣謳謰謵譇謯謼謾謱謥謷謦謶謮謤謻謽謺豂豵貙貘貗賾贄贂贀蹜蹢蹠蹗蹖蹞蹥蹧�\".split(\"\");\nfor(j = 0; j != D[240].length; ++j) if(D[240][j].charCodeAt(0) !== 0xFFFD) { e[D[240][j]] = 61440 + j; d[61440 + j] = D[240][j];}\nD[241] = \"����������������������������������������������������������������蹛蹚蹡蹝蹩蹔轆轇轈轋鄨鄺鄻鄾醨醥醧醯醪鎵鎌鎒鎷鎛鎝鎉鎧鎎鎪鎞鎦鎕鎈鎙鎟鎍鎱鎑鎲鎤鎨鎴鎣鎥闒闓闑隳雗雚巂雟雘雝霣霢霥鞬鞮鞨鞫鞤鞪����������������������������������鞢鞥韗韙韖韘韺顐顑顒颸饁餼餺騏騋騉騍騄騑騊騅騇騆髀髜鬈鬄鬅鬩鬵魊魌魋鯇鯆鯃鮿鯁鮵鮸鯓鮶鯄鮹鮽鵜鵓鵏鵊鵛鵋鵙鵖鵌鵗鵒鵔鵟鵘鵚麎麌黟鼁鼀鼖鼥鼫鼪鼩鼨齌齕儴儵劖勷厴嚫嚭嚦嚧嚪嚬壚壝壛夒嬽嬾嬿巃幰�\".split(\"\");\nfor(j = 0; j != D[241].length; ++j) if(D[241][j].charCodeAt(0) !== 0xFFFD) { e[D[241][j]] = 61696 + j; d[61696 + j] = D[241][j];}\nD[242] = \"����������������������������������������������������������������徿懻攇攐攍攉攌攎斄旞旝曞櫧櫠櫌櫑櫙櫋櫟櫜櫐櫫櫏櫍櫞歠殰氌瀙瀧瀠瀖瀫瀡瀢瀣瀩瀗瀤瀜瀪爌爊爇爂爅犥犦犤犣犡瓋瓅璷瓃甖癠矉矊矄矱礝礛����������������������������������礡礜礗礞禰穧穨簳簼簹簬簻糬糪繶繵繸繰繷繯繺繲繴繨罋罊羃羆羷翽翾聸臗臕艤艡艣藫藱藭藙藡藨藚藗藬藲藸藘藟藣藜藑藰藦藯藞藢蠀蟺蠃蟶蟷蠉蠌蠋蠆蟼蠈蟿蠊蠂襢襚襛襗襡襜襘襝襙覈覷覶觶譐譈譊譀譓譖譔譋譕�\".split(\"\");\nfor(j = 0; j != D[242].length; ++j) if(D[242][j].charCodeAt(0) !== 0xFFFD) { e[D[242][j]] = 61952 + j; d[61952 + j] = D[242][j];}\nD[243] = \"����������������������������������������������������������������譑譂譒譗豃豷豶貚贆贇贉趬趪趭趫蹭蹸蹳蹪蹯蹻軂轒轑轏轐轓辴酀鄿醰醭鏞鏇鏏鏂鏚鏐鏹鏬鏌鏙鎩鏦鏊鏔鏮鏣鏕鏄鏎鏀鏒鏧镽闚闛雡霩霫霬霨霦����������������������������������鞳鞷鞶韝韞韟顜顙顝顗颿颽颻颾饈饇饃馦馧騚騕騥騝騤騛騢騠騧騣騞騜騔髂鬋鬊鬎鬌鬷鯪鯫鯠鯞鯤鯦鯢鯰鯔鯗鯬鯜鯙鯥鯕鯡鯚鵷鶁鶊鶄鶈鵱鶀鵸鶆鶋鶌鵽鵫鵴鵵鵰鵩鶅鵳鵻鶂鵯鵹鵿鶇鵨麔麑黀黼鼭齀齁齍齖齗齘匷嚲�\".split(\"\");\nfor(j = 0; j != D[243].length; ++j) if(D[243][j].charCodeAt(0) !== 0xFFFD) { e[D[243][j]] = 62208 + j; d[62208 + j] = D[243][j];}\nD[244] = \"����������������������������������������������������������������嚵嚳壣孅巆巇廮廯忀忁懹攗攖攕攓旟曨曣曤櫳櫰櫪櫨櫹櫱櫮櫯瀼瀵瀯瀷瀴瀱灂瀸瀿瀺瀹灀瀻瀳灁爓爔犨獽獼璺皫皪皾盭矌矎矏矍矲礥礣礧礨礤礩����������������������������������禲穮穬穭竷籉籈籊籇籅糮繻繾纁纀羺翿聹臛臙舋艨艩蘢藿蘁藾蘛蘀藶蘄蘉蘅蘌藽蠙蠐蠑蠗蠓蠖襣襦覹觷譠譪譝譨譣譥譧譭趮躆躈躄轙轖轗轕轘轚邍酃酁醷醵醲醳鐋鐓鏻鐠鐏鐔鏾鐕鐐鐨鐙鐍鏵鐀鏷鐇鐎鐖鐒鏺鐉鏸鐊鏿�\".split(\"\");\nfor(j = 0; j != D[244].length; ++j) if(D[244][j].charCodeAt(0) !== 0xFFFD) { e[D[244][j]] = 62464 + j; d[62464 + j] = D[244][j];}\nD[245] = \"����������������������������������������������������������������鏼鐌鏶鐑鐆闞闠闟霮霯鞹鞻韽韾顠顢顣顟飁飂饐饎饙饌饋饓騲騴騱騬騪騶騩騮騸騭髇髊髆鬐鬒鬑鰋鰈鯷鰅鰒鯸鱀鰇鰎鰆鰗鰔鰉鶟鶙鶤鶝鶒鶘鶐鶛����������������������������������鶠鶔鶜鶪鶗鶡鶚鶢鶨鶞鶣鶿鶩鶖鶦鶧麙麛麚黥黤黧黦鼰鼮齛齠齞齝齙龑儺儹劘劗囃嚽嚾孈孇巋巏廱懽攛欂櫼欃櫸欀灃灄灊灈灉灅灆爝爚爙獾甗癪矐礭礱礯籔籓糲纊纇纈纋纆纍罍羻耰臝蘘蘪蘦蘟蘣蘜蘙蘧蘮蘡蘠蘩蘞蘥�\".split(\"\");\nfor(j = 0; j != D[245].length; ++j) if(D[245][j].charCodeAt(0) !== 0xFFFD) { e[D[245][j]] = 62720 + j; d[62720 + j] = D[245][j];}\nD[246] = \"����������������������������������������������������������������蠩蠝蠛蠠蠤蠜蠫衊襭襩襮襫觺譹譸譅譺譻贐贔趯躎躌轞轛轝酆酄酅醹鐿鐻鐶鐩鐽鐼鐰鐹鐪鐷鐬鑀鐱闥闤闣霵霺鞿韡顤飉飆飀饘饖騹騽驆驄驂驁騺����������������������������������騿髍鬕鬗鬘鬖鬺魒鰫鰝鰜鰬鰣鰨鰩鰤鰡鶷鶶鶼鷁鷇鷊鷏鶾鷅鷃鶻鶵鷎鶹鶺鶬鷈鶱鶭鷌鶳鷍鶲鹺麜黫黮黭鼛鼘鼚鼱齎齥齤龒亹囆囅囋奱孋孌巕巑廲攡攠攦攢欋欈欉氍灕灖灗灒爞爟犩獿瓘瓕瓙瓗癭皭礵禴穰穱籗籜籙籛籚�\".split(\"\");\nfor(j = 0; j != D[246].length; ++j) if(D[246][j].charCodeAt(0) !== 0xFFFD) { e[D[246][j]] = 62976 + j; d[62976 + j] = D[246][j];}\nD[247] = \"����������������������������������������������������������������糴糱纑罏羇臞艫蘴蘵蘳蘬蘲蘶蠬蠨蠦蠪蠥襱覿覾觻譾讄讂讆讅譿贕躕躔躚躒躐躖躗轠轢酇鑌鑐鑊鑋鑏鑇鑅鑈鑉鑆霿韣顪顩飋饔饛驎驓驔驌驏驈驊����������������������������������驉驒驐髐鬙鬫鬻魖魕鱆鱈鰿鱄鰹鰳鱁鰼鰷鰴鰲鰽鰶鷛鷒鷞鷚鷋鷐鷜鷑鷟鷩鷙鷘鷖鷵鷕鷝麶黰鼵鼳鼲齂齫龕龢儽劙壨壧奲孍巘蠯彏戁戃戄攩攥斖曫欑欒欏毊灛灚爢玂玁玃癰矔籧籦纕艬蘺虀蘹蘼蘱蘻蘾蠰蠲蠮蠳襶襴襳觾�\".split(\"\");\nfor(j = 0; j != D[247].length; ++j) if(D[247][j].charCodeAt(0) !== 0xFFFD) { e[D[247][j]] = 63232 + j; d[63232 + j] = D[247][j];}\nD[248] = \"����������������������������������������������������������������讌讎讋讈豅贙躘轤轣醼鑢鑕鑝鑗鑞韄韅頀驖驙鬞鬟鬠鱒鱘鱐鱊鱍鱋鱕鱙鱌鱎鷻鷷鷯鷣鷫鷸鷤鷶鷡鷮鷦鷲鷰鷢鷬鷴鷳鷨鷭黂黐黲黳鼆鼜鼸鼷鼶齃齏����������������������������������齱齰齮齯囓囍孎屭攭曭曮欓灟灡灝灠爣瓛瓥矕礸禷禶籪纗羉艭虃蠸蠷蠵衋讔讕躞躟躠躝醾醽釂鑫鑨鑩雥靆靃靇韇韥驞髕魙鱣鱧鱦鱢鱞鱠鸂鷾鸇鸃鸆鸅鸀鸁鸉鷿鷽鸄麠鼞齆齴齵齶囔攮斸欘欙欗欚灢爦犪矘矙礹籩籫糶纚�\".split(\"\");\nfor(j = 0; j != D[248].length; ++j) if(D[248][j].charCodeAt(0) !== 0xFFFD) { e[D[248][j]] = 63488 + j; d[63488 + j] = D[248][j];}\nD[249] = \"����������������������������������������������������������������纘纛纙臠臡虆虇虈襹襺襼襻觿讘讙躥躤躣鑮鑭鑯鑱鑳靉顲饟鱨鱮鱭鸋鸍鸐鸏鸒鸑麡黵鼉齇齸齻齺齹圞灦籯蠼趲躦釃鑴鑸鑶鑵驠鱴鱳鱱鱵鸔鸓黶鼊����������������������������������龤灨灥糷虪蠾蠽蠿讞貜躩軉靋顳顴飌饡馫驤驦驧鬤鸕鸗齈戇欞爧虌躨钂钀钁驩驨鬮鸙爩虋讟钃鱹麷癵驫鱺鸝灩灪麤齾齉龘碁銹裏墻恒粧嫺╔╦╗╠╬╣╚╩╝╒╤╕╞╪╡╘╧╛╓╥╖╟╫╢╙╨╜║═╭╮╰╯▓�\".split(\"\");\nfor(j = 0; j != D[249].length; ++j) if(D[249][j].charCodeAt(0) !== 0xFFFD) { e[D[249][j]] = 63744 + j; d[63744 + j] = D[249][j];}\nreturn {\"enc\": e, \"dec\": d }; })();\ncptable[1250] = (function(){ var d = \"\\u0000\\u0001\\u0002\\u0003\\u0004\\u0005\\u0006\\u0007\\b\\t\\n\\u000b\\f\\r\\u000e\\u000f\\u0010\\u0011\\u0012\\u0013\\u0014\\u0015\\u0016\\u0017\\u0018\\u0019\\u001a\\u001b\\u001c\\u001d\\u001e\\u001f !\\\"#$%&'()*+,-./0123456789:;<=>?@ABCDEFGHIJKLMNOPQRSTUVWXYZ[\\\\]^_`abcdefghijklmnopqrstuvwxyz{|}~€�‚�„…†‡�‰Š‹ŚŤŽŹ�‘’“”•–—�™š›śťžź ˇ˘Ł¤Ą¦§¨©Ş«¬­®Ż°±˛ł´µ¶·¸ąş»Ľ˝ľżŔÁÂĂÄĹĆÇČÉĘËĚÍÎĎĐŃŇÓÔŐÖ×ŘŮÚŰÜÝŢßŕáâăäĺćçčéęëěíîďđńňóôőö÷řůúűüýţ˙\", D = [], e = {}; for(var i=0;i!=d.length;++i) { if(d.charCodeAt(i) !== 0xFFFD) e[d[i]] = i; D[i] = d.charAt(i); } return {\"enc\": e, \"dec\": D }; })();\ncptable[1251] = (function(){ var d = \"\\u0000\\u0001\\u0002\\u0003\\u0004\\u0005\\u0006\\u0007\\b\\t\\n\\u000b\\f\\r\\u000e\\u000f\\u0010\\u0011\\u0012\\u0013\\u0014\\u0015\\u0016\\u0017\\u0018\\u0019\\u001a\\u001b\\u001c\\u001d\\u001e\\u001f !\\\"#$%&'()*+,-./0123456789:;<=>?@ABCDEFGHIJKLMNOPQRSTUVWXYZ[\\\\]^_`abcdefghijklmnopqrstuvwxyz{|}~ЂЃ‚ѓ„…†‡€‰Љ‹ЊЌЋЏђ‘’“”•–—�™љ›њќћџ ЎўЈ¤Ґ¦§Ё©Є«¬­®Ї°±Ііґµ¶·ё№є»јЅѕїАБВГДЕЖЗИЙКЛМНОПРСТУФХЦЧШЩЪЫЬЭЮЯабвгдежзийклмнопрстуфхцчшщъыьэюя\", D = [], e = {}; for(var i=0;i!=d.length;++i) { if(d.charCodeAt(i) !== 0xFFFD) e[d[i]] = i; D[i] = d.charAt(i); } return {\"enc\": e, \"dec\": D }; })();\ncptable[1252] = (function(){ var d = \"\\u0000\\u0001\\u0002\\u0003\\u0004\\u0005\\u0006\\u0007\\b\\t\\n\\u000b\\f\\r\\u000e\\u000f\\u0010\\u0011\\u0012\\u0013\\u0014\\u0015\\u0016\\u0017\\u0018\\u0019\\u001a\\u001b\\u001c\\u001d\\u001e\\u001f !\\\"#$%&'()*+,-./0123456789:;<=>?@ABCDEFGHIJKLMNOPQRSTUVWXYZ[\\\\]^_`abcdefghijklmnopqrstuvwxyz{|}~€�‚ƒ„…†‡ˆ‰Š‹Œ�Ž��‘’“”•–—˜™š›œ�žŸ ¡¢£¤¥¦§¨©ª«¬­®¯°±²³´µ¶·¸¹º»¼½¾¿ÀÁÂÃÄÅÆÇÈÉÊËÌÍÎÏÐÑÒÓÔÕÖ×ØÙÚÛÜÝÞßàáâãäåæçèéêëìíîïðñòóôõö÷øùúûüýþÿ\", D = [], e = {}; for(var i=0;i!=d.length;++i) { if(d.charCodeAt(i) !== 0xFFFD) e[d[i]] = i; D[i] = d.charAt(i); } return {\"enc\": e, \"dec\": D }; })();\ncptable[1253] = (function(){ var d = \"\\u0000\\u0001\\u0002\\u0003\\u0004\\u0005\\u0006\\u0007\\b\\t\\n\\u000b\\f\\r\\u000e\\u000f\\u0010\\u0011\\u0012\\u0013\\u0014\\u0015\\u0016\\u0017\\u0018\\u0019\\u001a\\u001b\\u001c\\u001d\\u001e\\u001f !\\\"#$%&'()*+,-./0123456789:;<=>?@ABCDEFGHIJKLMNOPQRSTUVWXYZ[\\\\]^_`abcdefghijklmnopqrstuvwxyz{|}~€�‚ƒ„…†‡�‰�‹�����‘’“”•–—�™�›���� ΅Ά£¤¥¦§¨©�«¬­®―°±²³΄µ¶·ΈΉΊ»Ό½ΎΏΐΑΒΓΔΕΖΗΘΙΚΛΜΝΞΟΠΡ�ΣΤΥΦΧΨΩΪΫάέήίΰαβγδεζηθικλμνξοπρςστυφχψωϊϋόύώ�\", D = [], e = {}; for(var i=0;i!=d.length;++i) { if(d.charCodeAt(i) !== 0xFFFD) e[d[i]] = i; D[i] = d.charAt(i); } return {\"enc\": e, \"dec\": D }; })();\ncptable[1254] = (function(){ var d = \"\\u0000\\u0001\\u0002\\u0003\\u0004\\u0005\\u0006\\u0007\\b\\t\\n\\u000b\\f\\r\\u000e\\u000f\\u0010\\u0011\\u0012\\u0013\\u0014\\u0015\\u0016\\u0017\\u0018\\u0019\\u001a\\u001b\\u001c\\u001d\\u001e\\u001f !\\\"#$%&'()*+,-./0123456789:;<=>?@ABCDEFGHIJKLMNOPQRSTUVWXYZ[\\\\]^_`abcdefghijklmnopqrstuvwxyz{|}~€�‚ƒ„…†‡ˆ‰Š‹Œ����‘’“”•–—˜™š›œ��Ÿ ¡¢£¤¥¦§¨©ª«¬­®¯°±²³´µ¶·¸¹º»¼½¾¿ÀÁÂÃÄÅÆÇÈÉÊËÌÍÎÏĞÑÒÓÔÕÖ×ØÙÚÛÜİŞßàáâãäåæçèéêëìíîïğñòóôõö÷øùúûüışÿ\", D = [], e = {}; for(var i=0;i!=d.length;++i) { if(d.charCodeAt(i) !== 0xFFFD) e[d[i]] = i; D[i] = d.charAt(i); } return {\"enc\": e, \"dec\": D }; })();\ncptable[1255] = (function(){ var d = \"\\u0000\\u0001\\u0002\\u0003\\u0004\\u0005\\u0006\\u0007\\b\\t\\n\\u000b\\f\\r\\u000e\\u000f\\u0010\\u0011\\u0012\\u0013\\u0014\\u0015\\u0016\\u0017\\u0018\\u0019\\u001a\\u001b\\u001c\\u001d\\u001e\\u001f !\\\"#$%&'()*+,-./0123456789:;<=>?@ABCDEFGHIJKLMNOPQRSTUVWXYZ[\\\\]^_`abcdefghijklmnopqrstuvwxyz{|}~€�‚ƒ„…†‡ˆ‰�‹�����‘’“”•–—˜™�›���� ¡¢£₪¥¦§¨©×«¬­®¯°±²³´µ¶·¸¹÷»¼½¾¿ְֱֲֳִֵֶַָֹ�ֻּֽ־ֿ׀ׁׂ׃װױײ׳״�������אבגדהוזחטיךכלםמןנסעףפץצקרשת��‎‏�\", D = [], e = {}; for(var i=0;i!=d.length;++i) { if(d.charCodeAt(i) !== 0xFFFD) e[d[i]] = i; D[i] = d.charAt(i); } return {\"enc\": e, \"dec\": D }; })();\ncptable[1256] = (function(){ var d = \"\\u0000\\u0001\\u0002\\u0003\\u0004\\u0005\\u0006\\u0007\\b\\t\\n\\u000b\\f\\r\\u000e\\u000f\\u0010\\u0011\\u0012\\u0013\\u0014\\u0015\\u0016\\u0017\\u0018\\u0019\\u001a\\u001b\\u001c\\u001d\\u001e\\u001f !\\\"#$%&'()*+,-./0123456789:;<=>?@ABCDEFGHIJKLMNOPQRSTUVWXYZ[\\\\]^_`abcdefghijklmnopqrstuvwxyz{|}~€پ‚ƒ„…†‡ˆ‰ٹ‹Œچژڈگ‘’“”•–—ک™ڑ›œ‌‍ں ،¢£¤¥¦§¨©ھ«¬­®¯°±²³´µ¶·¸¹؛»¼½¾؟ہءآأؤإئابةتثجحخدذرزسشصض×طظعغـفقكàلâمنهوçèéêëىيîïًٌٍَôُِ÷ّùْûü‎‏ے\", D = [], e = {}; for(var i=0;i!=d.length;++i) { if(d.charCodeAt(i) !== 0xFFFD) e[d[i]] = i; D[i] = d.charAt(i); } return {\"enc\": e, \"dec\": D }; })();\ncptable[1257] = (function(){ var d = \"\\u0000\\u0001\\u0002\\u0003\\u0004\\u0005\\u0006\\u0007\\b\\t\\n\\u000b\\f\\r\\u000e\\u000f\\u0010\\u0011\\u0012\\u0013\\u0014\\u0015\\u0016\\u0017\\u0018\\u0019\\u001a\\u001b\\u001c\\u001d\\u001e\\u001f !\\\"#$%&'()*+,-./0123456789:;<=>?@ABCDEFGHIJKLMNOPQRSTUVWXYZ[\\\\]^_`abcdefghijklmnopqrstuvwxyz{|}~€�‚�„…†‡�‰�‹�¨ˇ¸�‘’“”•–—�™�›�¯˛� �¢£¤�¦§Ø©Ŗ«¬­®Æ°±²³´µ¶·ø¹ŗ»¼½¾æĄĮĀĆÄÅĘĒČÉŹĖĢĶĪĻŠŃŅÓŌÕÖ×ŲŁŚŪÜŻŽßąįāćäåęēčéźėģķīļšńņóōõö÷ųłśūüżž˙\", D = [], e = {}; for(var i=0;i!=d.length;++i) { if(d.charCodeAt(i) !== 0xFFFD) e[d[i]] = i; D[i] = d.charAt(i); } return {\"enc\": e, \"dec\": D }; })();\ncptable[1258] = (function(){ var d = \"\\u0000\\u0001\\u0002\\u0003\\u0004\\u0005\\u0006\\u0007\\b\\t\\n\\u000b\\f\\r\\u000e\\u000f\\u0010\\u0011\\u0012\\u0013\\u0014\\u0015\\u0016\\u0017\\u0018\\u0019\\u001a\\u001b\\u001c\\u001d\\u001e\\u001f !\\\"#$%&'()*+,-./0123456789:;<=>?@ABCDEFGHIJKLMNOPQRSTUVWXYZ[\\\\]^_`abcdefghijklmnopqrstuvwxyz{|}~€�‚ƒ„…†‡ˆ‰�‹Œ����‘’“”•–—˜™�›œ��Ÿ ¡¢£¤¥¦§¨©ª«¬­®¯°±²³´µ¶·¸¹º»¼½¾¿ÀÁÂĂÄÅÆÇÈÉÊË̀ÍÎÏĐÑ̉ÓÔƠÖ×ØÙÚÛÜỮßàáâăäåæçèéêë́íîïđṇ̃óôơö÷øùúûüư₫ÿ\", D = [], e = {}; for(var i=0;i!=d.length;++i) { if(d.charCodeAt(i) !== 0xFFFD) e[d[i]] = i; D[i] = d.charAt(i); } return {\"enc\": e, \"dec\": D }; })();\ncptable[10000] = (function(){ var d = \"\\u0000\\u0001\\u0002\\u0003\\u0004\\u0005\\u0006\\u0007\\b\\t\\n\\u000b\\f\\r\\u000e\\u000f\\u0010\\u0011\\u0012\\u0013\\u0014\\u0015\\u0016\\u0017\\u0018\\u0019\\u001a\\u001b\\u001c\\u001d\\u001e\\u001f !\\\"#$%&'()*+,-./0123456789:;<=>?@ABCDEFGHIJKLMNOPQRSTUVWXYZ[\\\\]^_`abcdefghijklmnopqrstuvwxyz{|}~ÄÅÇÉÑÖÜáàâäãåçéèêëíìîïñóòôöõúùûü†°¢£§•¶ß®©™´¨≠ÆØ∞±≤≥¥µ∂∑∏π∫ªºΩæø¿¡¬√ƒ≈∆«»… ÀÃÕŒœ–—“”‘’÷◊ÿŸ⁄¤‹›fifl‡·‚„‰ÂÊÁËÈÍÎÏÌÓÔ�ÒÚÛÙıˆ˜¯˘˙˚¸˝˛ˇ\", D = [], e = {}; for(var i=0;i!=d.length;++i) { if(d.charCodeAt(i) !== 0xFFFD) e[d[i]] = i; D[i] = d.charAt(i); } return {\"enc\": e, \"dec\": D }; })();\ncptable[10006] = (function(){ var d = \"\\u0000\\u0001\\u0002\\u0003\\u0004\\u0005\\u0006\\u0007\\b\\t\\n\\u000b\\f\\r\\u000e\\u000f\\u0010\\u0011\\u0012\\u0013\\u0014\\u0015\\u0016\\u0017\\u0018\\u0019\\u001a\\u001b\\u001c\\u001d\\u001e\\u001f !\\\"#$%&'()*+,-./0123456789:;<=>?@ABCDEFGHIJKLMNOPQRSTUVWXYZ[\\\\]^_`abcdefghijklmnopqrstuvwxyz{|}~Ĺ²É³ÖÜ΅àâä΄¨çéèê룙î‰ôö¦­ùûü†ΓΔΘΛΞΠß®©ΣΪ§≠°·Α±≤≥¥ΒΕΖΗΙΚΜΦΫΨΩάΝ¬ΟΡ≈Τ«»… ΥΧΆΈœ–―“”‘’÷ΉΊΌΎέήίόΏύαβψδεφγηιξκλμνοπώρστθωςχυζϊϋΐΰ�\", D = [], e = {}; for(var i=0;i!=d.length;++i) { if(d.charCodeAt(i) !== 0xFFFD) e[d[i]] = i; D[i] = d.charAt(i); } return {\"enc\": e, \"dec\": D }; })();\ncptable[10007] = (function(){ var d = \"\\u0000\\u0001\\u0002\\u0003\\u0004\\u0005\\u0006\\u0007\\b\\t\\n\\u000b\\f\\r\\u000e\\u000f\\u0010\\u0011\\u0012\\u0013\\u0014\\u0015\\u0016\\u0017\\u0018\\u0019\\u001a\\u001b\\u001c\\u001d\\u001e\\u001f !\\\"#$%&'()*+,-./0123456789:;<=>?@ABCDEFGHIJKLMNOPQRSTUVWXYZ[\\\\]^_`abcdefghijklmnopqrstuvwxyz{|}~АБВГДЕЖЗИЙКЛМНОПРСТУФХЦЧШЩЪЫЬЭЮЯ†°¢£§•¶І®©™Ђђ≠Ѓѓ∞±≤≥іµ∂ЈЄєЇїЉљЊњјЅ¬√ƒ≈∆«»… ЋћЌќѕ–—“”‘’÷„ЎўЏџ№Ёёяабвгдежзийклмнопрстуфхцчшщъыьэю¤\", D = [], e = {}; for(var i=0;i!=d.length;++i) { if(d.charCodeAt(i) !== 0xFFFD) e[d[i]] = i; D[i] = d.charAt(i); } return {\"enc\": e, \"dec\": D }; })();\ncptable[10029] = (function(){ var d = \"\\u0000\\u0001\\u0002\\u0003\\u0004\\u0005\\u0006\\u0007\\b\\t\\n\\u000b\\f\\r\\u000e\\u000f\\u0010\\u0011\\u0012\\u0013\\u0014\\u0015\\u0016\\u0017\\u0018\\u0019\\u001a\\u001b\\u001c\\u001d\\u001e\\u001f !\\\"#$%&'()*+,-./0123456789:;<=>?@ABCDEFGHIJKLMNOPQRSTUVWXYZ[\\\\]^_`abcdefghijklmnopqrstuvwxyz{|}~ÄĀāÉĄÖÜáąČäčĆć鏟ĎíďĒēĖóėôöõúĚěü†°Ę£§•¶ß®©™ę¨≠ģĮįĪ≤≥īĶ∂∑łĻļĽľĹĺŅņѬ√ńŇ∆«»… ňŐÕőŌ–—“”‘’÷◊ōŔŕŘ‹›řŖŗŠ‚„šŚśÁŤťÍŽžŪÓÔūŮÚůŰűŲųÝýķŻŁżĢˇ\", D = [], e = {}; for(var i=0;i!=d.length;++i) { if(d.charCodeAt(i) !== 0xFFFD) e[d[i]] = i; D[i] = d.charAt(i); } return {\"enc\": e, \"dec\": D }; })();\ncptable[10079] = (function(){ var d = \"\\u0000\\u0001\\u0002\\u0003\\u0004\\u0005\\u0006\\u0007\\b\\t\\n\\u000b\\f\\r\\u000e\\u000f\\u0010\\u0011\\u0012\\u0013\\u0014\\u0015\\u0016\\u0017\\u0018\\u0019\\u001a\\u001b\\u001c\\u001d\\u001e\\u001f !\\\"#$%&'()*+,-./0123456789:;<=>?@ABCDEFGHIJKLMNOPQRSTUVWXYZ[\\\\]^_`abcdefghijklmnopqrstuvwxyz{|}~ÄÅÇÉÑÖÜáàâäãåçéèêëíìîïñóòôöõúùûüÝ°¢£§•¶ß®©™´¨≠ÆØ∞±≤≥¥µ∂∑∏π∫ªºΩæø¿¡¬√ƒ≈∆«»… ÀÃÕŒœ–—“”‘’÷◊ÿŸ⁄¤ÐðÞþý·‚„‰ÂÊÁËÈÍÎÏÌÓÔ�ÒÚÛÙıˆ˜¯˘˙˚¸˝˛ˇ\", D = [], e = {}; for(var i=0;i!=d.length;++i) { if(d.charCodeAt(i) !== 0xFFFD) e[d[i]] = i; D[i] = d.charAt(i); } return {\"enc\": e, \"dec\": D }; })();\ncptable[10081] = (function(){ var d = \"\\u0000\\u0001\\u0002\\u0003\\u0004\\u0005\\u0006\\u0007\\b\\t\\n\\u000b\\f\\r\\u000e\\u000f\\u0010\\u0011\\u0012\\u0013\\u0014\\u0015\\u0016\\u0017\\u0018\\u0019\\u001a\\u001b\\u001c\\u001d\\u001e\\u001f !\\\"#$%&'()*+,-./0123456789:;<=>?@ABCDEFGHIJKLMNOPQRSTUVWXYZ[\\\\]^_`abcdefghijklmnopqrstuvwxyz{|}~ÄÅÇÉÑÖÜáàâäãåçéèêëíìîïñóòôöõúùûü†°¢£§•¶ß®©™´¨≠ÆØ∞±≤≥¥µ∂∑∏π∫ªºΩæø¿¡¬√ƒ≈∆«»… ÀÃÕŒœ–—“”‘’÷◊ÿŸĞğİıŞş‡·‚„‰ÂÊÁËÈÍÎÏÌÓÔ�ÒÚÛÙ�ˆ˜¯˘˙˚¸˝˛ˇ\", D = [], e = {}; for(var i=0;i!=d.length;++i) { if(d.charCodeAt(i) !== 0xFFFD) e[d[i]] = i; D[i] = d.charAt(i); } return {\"enc\": e, \"dec\": D }; })();\nif (typeof module !== 'undefined' && module.exports) module.exports = cptable;\n/* cputils.js (C) 2013-2014 SheetJS -- http://sheetjs.com */\n/*jshint newcap: false */\n(function(root, factory){\n  \"use strict\";\n  if(typeof cptable === \"undefined\") {\n    if(typeof require !== \"undefined\"){\n      var cpt = require('./cpt' + 'able');\n      if (typeof module !== 'undefined' && module.exports) module.exports = factory(cpt);\n      else root.cptable = factory(cpt);\n    } else throw new Error(\"cptable not found\");\n  } else cptable = factory(cptable);\n}(this, function(cpt){\n  \"use strict\";\n  var magic = {\n    \"1200\":\"utf16le\",\n    \"1201\":\"utf16be\",\n    \"12000\":\"utf32le\",\n    \"12001\":\"utf32be\",\n    \"16969\":\"utf64le\",\n    \"20127\":\"ascii\",\n    \"65000\":\"utf7\",\n    \"65001\":\"utf8\"\n  };\n\n  var sbcs_cache = [874,1250,1251,1252,1253,1254,1255,1256,10000];\n  var dbcs_cache = [932,936,949,950];\n  var magic_cache = [65001];\n  var magic_decode = {};\n  var magic_encode = {};\n  var cpecache = {};\n  var cpdcache = {};\n\n  var sfcc = function sfcc(x) { return String.fromCharCode(x); };\n  var cca = function cca(x){ return x.charCodeAt(0); };\n\n  var has_buf = (typeof Buffer !== 'undefined');\n  if(has_buf) {\n    var mdl = 1024, mdb = new Buffer(mdl);\n    var make_EE = function make_EE(E){\n      var EE = new Buffer(65536);\n      for(var i = 0; i < 65536;++i) EE[i] = 0;\n      var keys = Object.keys(E), len = keys.length;\n      for(var ee = 0, e = keys[ee]; ee < len; ++ee) {\n        if(!(e = keys[ee])) continue;\n        EE[e.charCodeAt(0)] = E[e];\n      }\n      return EE;\n    };\n    var sbcs_encode = function make_sbcs_encode(cp) {\n      var EE = make_EE(cpt[cp].enc);\n      return function sbcs_e(data, ofmt) {\n        var len = data.length;\n        var out, i, j, D, w;\n        if(typeof data === 'string') {\n          out = Buffer(len);\n          for(i = 0; i < len; ++i) out[i] = EE[data.charCodeAt(i)];\n        } else if(Buffer.isBuffer(data)) {\n          out = Buffer(2*len);\n          j = 0;\n          for(i = 0; i < len; ++i) {\n            D = data[i];\n            if(D < 128) out[j++] = EE[D];\n            else if(D < 224) { out[j++] = EE[((D&31)<<6)+(data[i+1]&63)]; ++i; }\n            else if(D < 240) { out[j++] = EE[((D&15)<<12)+((data[i+1]&63)<<6)+(data[i+2]&63)]; i+=2; }\n            else {\n              w = ((D&7)<<18)+((data[i+1]&63)<<12)+((data[i+2]&63)<<6)+(data[i+3]&63); i+=3;\n              if(w < 65536) out[j++] = EE[w];\n              else { w -= 65536; out[j++] = EE[0xD800 + ((w>>10)&1023)]; out[j++] = EE[0xDC00 + (w&1023)]; }\n            }\n          }\n          out.length = j;\n          out = out.slice(0,j);\n        } else {\n          out = Buffer(len);\n          for(i = 0; i < len; ++i) out[i] = EE[data[i].charCodeAt(0)];\n        }\n        if(ofmt === undefined || ofmt === 'buf') return out;\n        if(ofmt !== 'arr') return out.toString('binary');\n        return [].slice.call(out);\n      };\n    };\n    var sbcs_decode = function make_sbcs_decode(cp) {\n      var D = cpt[cp].dec;\n      var DD = new Buffer(131072), d=0, c;\n      for(d=0;d<D.length;++d) {\n        if(!(c=D[d])) continue;\n        var w = c.charCodeAt(0);\n        DD[2*d] = w&255; DD[2*d+1] = w>>8;\n      }\n      return function sbcs_d(data) {\n        var len = data.length, i=0, j;\n        if(2 * len > mdl) { mdl = 2 * len; mdb = new Buffer(mdl); }\n        if(Buffer.isBuffer(data)) {\n          for(i = 0; i < len; i++) {\n            j = 2*data[i];\n            mdb[2*i] = DD[j]; mdb[2*i+1] = DD[j+1];\n          }\n        } else if(typeof data === \"string\") {\n          for(i = 0; i < len; i++) {\n            j = 2*data.charCodeAt(i);\n            mdb[2*i] = DD[j]; mdb[2*i+1] = DD[j+1];\n          }\n        } else {\n          for(i = 0; i < len; i++) {\n            j = 2*data[i];\n            mdb[2*i] = DD[j]; mdb[2*i+1] = DD[j+1];\n          }\n        }\n        mdb.length = 2 * len;\n        return mdb.toString('ucs2');\n      };\n    };\n    var dbcs_encode = function make_dbcs_encode(cp) {\n      var E = cpt[cp].enc;\n      var EE = new Buffer(131072);\n      for(var i = 0; i < 131072; ++i) EE[i] = 0;\n      var keys = Object.keys(E);\n      for(var ee = 0, e = keys[ee]; ee < keys.length; ++ee) {\n        if(!(e = keys[ee])) continue;\n        var f = e.charCodeAt(0);\n        EE[2*f] = E[e] & 255; EE[2*f+1] = E[e]>>8;\n      }\n      return function dbcs_e(data, ofmt) {\n        var len = data.length, out = new Buffer(2*len), i, j, jj, k, D;\n        if(typeof data === 'string') {\n          for(i = k = 0; i < len; ++i) {\n            j = data.charCodeAt(i)*2;\n            out[k++] = EE[j+1] || EE[j]; if(EE[j+1] > 0) out[k++] = EE[j];\n          }\n          out.length = k;\n          out = out.slice(0,k);\n        } else if(Buffer.isBuffer(data)) {\n          for(i = k = 0; i < len; ++i) {\n            D = data[i];\n            if(D < 128) j = D;\n            else if(D < 224) { j = ((D&31)<<6)+(data[i+1]&63); ++i; }\n            else if(D < 240) { j = ((D&15)<<12)+((data[i+1]&63)<<6)+(data[i+2]&63); i+=2; }\n            else { j = ((D&7)<<18)+((data[i+1]&63)<<12)+((data[i+2]&63)<<6)+(data[i+3]&63); i+=3; }\n            if(j<65536) { j*=2; out[k++] = EE[j+1] || EE[j]; if(EE[j+1] > 0) out[k++] = EE[j]; }\n            else { jj = j-65536;\n              j=2*(0xD800 + ((jj>>10)&1023)); out[k++] = EE[j+1] || EE[j]; if(EE[j+1] > 0) out[k++] = EE[j];\n              j=2*(0xDC00 + (jj&1023)); out[k++] = EE[j+1] || EE[j]; if(EE[j+1] > 0) out[k++] = EE[j];\n            }\n          }\n          out.length = k;\n          out = out.slice(0,k);\n        } else {\n          for(i = k = 0; i < len; i++) {\n            j = data[i].charCodeAt(0)*2;\n            out[k++] = EE[j+1] || EE[j]; if(EE[j+1] > 0) out[k++] = EE[j];\n          }\n        }\n        if(ofmt === undefined || ofmt === 'buf') return out;\n        if(ofmt !== 'arr') return out.toString('binary');\n        return [].slice.call(out);\n      };\n    };\n    var dbcs_decode = function make_dbcs_decode(cp) {\n      var D = cpt[cp].dec;\n      var DD = new Buffer(131072), d=0, c, w=0, j=0, i=0;\n      for(i = 0; i < 65536; ++i) { DD[2*i] = 0xFF; DD[2*i+1] = 0xFD;}\n      for(d = 0; d < D.length; ++d) {\n        if(!(c=D[d])) continue;\n        w = c.charCodeAt(0);\n        j = 2*d;\n        DD[j] = w&255; DD[j+1] = w>>8;\n      }\n      return function dbcs_d(data) {\n        var len = data.length, out = new Buffer(2*len), i, j, k=0;\n        if(Buffer.isBuffer(data)) {\n          for(i = 0; i < len; i++) {\n            j = 2*data[i];\n            if(DD[j]===0xFF && DD[j+1]===0xFD) { j=2*((data[i]<<8)+data[i+1]); ++i; }\n            out[k++] = DD[j]; out[k++] = DD[j+1];\n          }\n        } else if(typeof data === \"string\") {\n          for(i = 0; i < len; i++) {\n            j = 2*data.charCodeAt(i);\n            if(DD[j]===0xFF && DD[j+1]===0xFD) { j=2*((data.charCodeAt(i)<<8)+data.charCodeAt(i+1)); ++i; }\n            out[k++] = DD[j]; out[k++] = DD[j+1];\n          }\n        } else {\n          for(i = 0; i < len; i++) {\n            j = 2*data[i];\n            if(DD[j]===0xFF && DD[j+1]===0xFD) { j=2*((data[i]<<8)+data[i+1]); ++i; }\n            out[k++] = DD[j]; out[k++] = DD[j+1];\n          }\n        }\n        out.length = k;\n        return out.toString('ucs2');\n      };\n    };\n    magic_decode[65001] = function utf8_d(data) {\n      var len = data.length, w = 0, ww = 0;\n      if(4 * len > mdl) { mdl = 4 * len; mdb = new Buffer(mdl); }\n      mdb.length = 0;\n      var i = 0;\n      if(len >= 3 && data[0] == 0xEF) if(data[1] == 0xBB && data[2] == 0xBF) i = 3;\n      for(var j = 1, k = 0, D = 0; i < len; i+=j) {\n        j = 1; D = data[i];\n        if(D < 128) w = D;\n        else if(D < 224) { w=(D&31)*64+(data[i+1]&63); j=2; }\n        else if(D < 240) { w=((D&15)<<12)+(data[i+1]&63)*64+(data[i+2]&63); j=3; }\n        else { w=(D&7)*262144+((data[i+1]&63)<<12)+(data[i+2]&63)*64+(data[i+3]&63); j=4; }\n        if(w < 65536) { mdb[k++] = w&255; mdb[k++] = w>>8; }\n        else {\n          w -= 65536; ww = 0xD800 + ((w>>10)&1023); w = 0xDC00 + (w&1023);\n          mdb[k++] = ww&255; mdb[k++] = ww>>>8; mdb[k++] = w&255; mdb[k++] = (w>>>8)&255;\n        }\n      }\n      mdb.length = k;\n      return mdb.toString('ucs2');\n    };\n    magic_encode[65001] = function utf8_e(data, ofmt) {\n      var len = data.length, w = 0, ww = 0, j = 0;\n      var direct = typeof data === \"string\";\n      if(4 * len > mdl) { mdl = 4 * len; mdb = new Buffer(mdl); }\n      for(var i = 0; i < len; ++i) {\n        w = direct ? data.charCodeAt(i) : data[i].charCodeAt(0);\n        if(w <= 0x007F) mdb[j++] = w;\n        else if(w <= 0x07FF) {\n          mdb[j++] = 192 + (w >> 6);\n          mdb[j++] = 128 + (w&63);\n        } else if(w >= 0xD800 && w <= 0xDFFF) {\n          w -= 0xD800; ++i;\n          ww = (direct ? data.charCodeAt(i) : data[i].charCodeAt(0)) - 0xDC00 + (w << 10);\n          mdb[j++] = 240 + ((ww>>>18) & 0x07);\n          mdb[j++] = 144 + ((ww>>>12) & 0x3F);\n          mdb[j++] = 128 + ((ww>>>6) & 0x3F);\n          mdb[j++] = 128 + (ww & 0x3F);\n        } else {\n          mdb[j++] = 224 + (w >> 12);\n          mdb[j++] = 128 + ((w >> 6)&63);\n          mdb[j++] = 128 + (w&63);\n        }\n      }\n      mdb.length = j;\n      if(ofmt === undefined || ofmt === 'buf') return mdb;\n      if(ofmt !== 'arr') return mdb.toString('binary');\n      return [].slice.call(mdb);\n    };\n  }\n\n  var encache = function encache() {\n    if(has_buf) {\n      if(cpdcache[sbcs_cache[0]]) return;\n      var i, s;\n      for(i = 0; i < sbcs_cache.length; ++i) {\n        s = sbcs_cache[i];\n        if(cpt[s]) {\n          cpdcache[s] = sbcs_decode(s);\n          cpecache[s] = sbcs_encode(s);\n        }\n      }\n      for(i = 0; i < dbcs_cache.length; ++i) {\n        s = dbcs_cache[i];\n        if(cpt[s]) {\n          cpdcache[s] = dbcs_decode(s);\n          cpecache[s] = dbcs_encode(s);\n        }\n      }\n      for(i = 0; i < magic_cache.length; ++i) {\n        s = magic_cache[i];\n        if(magic_decode[s]) cpdcache[s] = magic_decode[s];\n        if(magic_encode[s]) cpecache[s] = magic_encode[s];\n      }\n    }\n  };\n  var cp_decache = function cp_decache(cp) { cpdcache[cp] = cpecache[cp] = undefined; };\n  var decache = function decache() {\n    if(has_buf) {\n      if(!cpdcache[sbcs_cache[0]]) return;\n      sbcs_cache.forEach(cp_decache);\n      dbcs_cache.forEach(cp_decache);\n      magic_cache.forEach(cp_decache);\n    }\n    last_enc = last_cp = undefined;\n  };\n  var cache = {\n    encache: encache,\n    decache: decache,\n    sbcs: sbcs_cache,\n    dbcs: dbcs_cache\n  };\n\n  encache();\n\n  var BM = \"ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz0123456789+/\";\n  var SetD = \"ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz0123456789'(),-./:?\";\n  var last_enc, last_cp;\n  var encode = function encode(cp, data, ofmt) {\n    if(cp === last_cp) { return last_enc(data, ofmt); }\n    if(cpecache[cp] !== undefined) { last_enc = cpecache[last_cp=cp]; return last_enc(data, ofmt); }\n    if(has_buf && Buffer.isBuffer(data)) data = data.toString('utf8');\n    var len = data.length;\n    var out = has_buf ? new Buffer(4*len) : [], w, i, j = 0, c, tt, ww;\n    var C = cpt[cp], E, M;\n    if(C && (E=C.enc)) for(i = 0; i < len; ++i, ++j) {\n      w = E[data[i]];\n      out[j] = w&255;\n      if(w > 255) {\n        out[j] = w>>8;\n        out[++j] = w&255;\n      }\n    }\n    else if((M=magic[cp])) switch(M) {\n      case \"utf8\":\n        if(has_buf && typeof data === \"string\") { out = new Buffer(data, M); j = out.length; break; }\n        for(i = 0; i < len; ++i, ++j) {\n          w = data[i].charCodeAt(0);\n          if(w <= 0x007F) out[j] = w;\n          else if(w <= 0x07FF) {\n            out[j]   = 192 + (w >> 6);\n            out[++j] = 128 + (w&63);\n          } else if(w >= 0xD800 && w <= 0xDFFF) {\n            w -= 0xD800;\n            ww = data[++i].charCodeAt(0) - 0xDC00 + (w << 10);\n            out[j]   = 240 + ((ww>>>18) & 0x07);\n            out[++j] = 144 + ((ww>>>12) & 0x3F);\n            out[++j] = 128 + ((ww>>>6) & 0x3F);\n            out[++j] = 128 + (ww & 0x3F);\n          } else {\n            out[j]   = 224 + (w >> 12);\n            out[++j] = 128 + ((w >> 6)&63);\n            out[++j] = 128 + (w&63);\n          }\n        }\n        break;\n      case \"ascii\":\n        if(has_buf && typeof data === \"string\") { out = new Buffer(data, M); j = out.length; break; }\n        for(i = 0; i < len; ++i, ++j) {\n          w = data[i].charCodeAt(0);\n          if(w <= 0x007F) out[j] = w;\n          else throw new Error(\"bad ascii \" + w);\n        }\n        break;\n      case \"utf16le\":\n        if(has_buf && typeof data === \"string\") { out = new Buffer(data, M); j = out.length; break; }\n        for(i = 0; i < len; ++i) {\n          w = data[i].charCodeAt(0);\n          out[j++] = w&255;\n          out[j++] = w>>8;\n        }\n        break;\n      case \"utf16be\":\n        for(i = 0; i < len; ++i) {\n          w = data[i].charCodeAt(0);\n          out[j++] = w>>8;\n          out[j++] = w&255;\n        }\n        break;\n      case \"utf32le\":\n        for(i = 0; i < len; ++i) {\n          w = data[i].charCodeAt(0);\n          if(w >= 0xD800 && w <= 0xDFFF) w = 0x10000 + ((w - 0xD800) << 10) + (data[++i].charCodeAt(0) - 0xDC00);\n          out[j++] = w&255; w >>= 8;\n          out[j++] = w&255; w >>= 8;\n          out[j++] = w&255; w >>= 8;\n          out[j++] = w&255;\n        }\n        break;\n      case \"utf32be\":\n        for(i = 0; i < len; ++i) {\n          w = data[i].charCodeAt(0);\n          if(w >= 0xD800 && w <= 0xDFFF) w = 0x10000 + ((w - 0xD800) << 10) + (data[++i].charCodeAt(0) - 0xDC00);\n          out[j+3] = w&255; w >>= 8;\n          out[j+2] = w&255; w >>= 8;\n          out[j+1] = w&255; w >>= 8;\n          out[j] = w&255; w >>= 8;\n          j+=4;\n        }\n        break;\n      case \"utf7\":\n        for(i = 0; i < len; i++) {\n          c = data[i];\n          if(c === \"+\") { out[j++] = 0x2b; out[j++] = 0x2d; continue; }\n          if(SetD.indexOf(c) > -1) { out[j++] = c.charCodeAt(0); continue; }\n          tt = encode(1201, c);\n          out[j++] = 0x2b;\n          out[j++] = BM.charCodeAt(tt[0]>>2);\n          out[j++] = BM.charCodeAt(((tt[0]&0x03)<<4) + ((tt[1]||0)>>4));\n          out[j++] = BM.charCodeAt(((tt[1]&0x0F)<<2) + ((tt[2]||0)>>6));\n          out[j++] = 0x2d;\n        }\n        break;\n      default: throw new Error(\"Unsupported magic: \" + cp + \" \" + magic[cp]);\n    }\n    else throw new Error(\"Unrecognized CP: \" + cp);\n    out.length = j;\n    out = out.slice(0,j);\n    if(typeof Buffer === 'undefined') return (ofmt == 'str') ? out.map(sfcc).join(\"\") : out;\n    if(ofmt === undefined || ofmt === 'buf') return out;\n    if(ofmt !== 'arr') return out.toString('binary');\n    return [].slice.call(out);\n  };\n  var decode = function decode(cp, data) {\n    var F; if((F=cpdcache[cp])) return F(data);\n    var len = data.length, out = new Array(len), w, i, j = 1, k = 0, ww;\n    var C = cpt[cp], D, M;\n    if(C && (D=C.dec)) {\n      if(typeof data === \"string\") data = data.split(\"\").map(cca);\n      for(i = 0; i < len; i+=j) {\n        j = 2;\n        w = D[(data[i]<<8)+ data[i+1]];\n        if(!w) {\n          j = 1;\n          w = D[data[i]];\n        }\n        if(!w) throw new Error('Unrecognized code: ' + data[i] + ' ' + data[i+j-1] + ' ' + i + ' ' + j + ' ' + D[data[i]]);\n        out[k++] = w;\n      }\n    }\n    else if((M=magic[cp])) switch(M) {\n      case \"utf8\":\n        i = 0;\n        if(len >= 3 && data[0] == 0xEF) if(data[1] == 0xBB && data[2] == 0xBF) i = 3;\n        for(; i < len; i+=j) {\n          j = 1;\n          if(data[i] < 128) w = data[i];\n          else if(data[i] < 224) { w=(data[i]&31)*64+(data[i+1]&63); j=2; }\n          else if(data[i] < 240) { w=((data[i]&15)<<12)+(data[i+1]&63)*64+(data[i+2]&63); j=3; }\n          else { w=(data[i]&7)*262144+((data[i+1]&63)<<12)+(data[i+2]&63)*64+(data[i+3]&63); j=4; }\n          if(w < 65536) { out[k++] = String.fromCharCode(w); }\n          else {\n            w -= 65536; ww = 0xD800 + ((w>>10)&1023); w = 0xDC00 + (w&1023);\n            out[k++] = String.fromCharCode(ww); out[k++] = String.fromCharCode(w);\n          }\n        }\n        break;\n      case \"ascii\":\n        if(has_buf && Buffer.isBuffer(data)) return data.toString(M);\n        for(i = 0; i < len; i++) out[i] = String.fromCharCode(data[i]);\n        k = len; break;\n      case \"utf16le\":\n        i = 0;\n        if(len >= 2 && data[0] == 0xFF) if(data[1] == 0xFE) i = 2;\n        if(has_buf && Buffer.isBuffer(data)) return data.toString(M);\n        j = 2;\n        for(; i < len; i+=j) {\n          out[k++] = String.fromCharCode((data[i+1]<<8) + data[i]);\n        }\n        break;\n      case \"utf16be\":\n        i = 0;\n        if(len >= 2 && data[0] == 0xFE) if(data[1] == 0xFF) i = 2;\n        j = 2;\n        for(; i < len; i+=j) {\n          out[k++] = String.fromCharCode((data[i]<<8) + data[i+1]);\n        }\n        break;\n      case \"utf32le\":\n        i = 0;\n        if(len >= 4 && data[0] == 0xFF) if(data[1] == 0xFE && data[2] == 0 && data[3] == 0) i = 4;\n        j = 4;\n        for(; i < len; i+=j) {\n          w = (data[i+3]<<24) + (data[i+2]<<16) + (data[i+1]<<8) + (data[i]);\n          if(w > 0xFFFF) {\n            w -= 0x10000;\n            out[k++] = String.fromCharCode(0xD800 + ((w >> 10) & 0x3FF));\n            out[k++] = String.fromCharCode(0xDC00 + (w & 0x3FF));\n          }\n          else out[k++] = String.fromCharCode(w);\n        }\n        break;\n      case \"utf32be\":\n        i = 0;\n        if(len >= 4 && data[3] == 0xFF) if(data[2] == 0xFE && data[1] == 0 && data[0] == 0) i = 4;\n        j = 4;\n        for(; i < len; i+=j) {\n          w = (data[i]<<24) + (data[i+1]<<16) + (data[i+2]<<8) + (data[i+3]);\n          if(w > 0xFFFF) {\n            w -= 0x10000;\n            out[k++] = String.fromCharCode(0xD800 + ((w >> 10) & 0x3FF));\n            out[k++] = String.fromCharCode(0xDC00 + (w & 0x3FF));\n          }\n          else out[k++] = String.fromCharCode(w);\n        }\n        break;\n      case \"utf7\":\n        i = 0;\n        if(len >= 4 && data[0] == 0x2B && data[1] == 0x2F && data[2] == 0x76) {\n          if(len >= 5 && data[3] == 0x38 && data[4] == 0x2D) i = 5;\n          else if(data[3] == 0x38 || data[3] == 0x39 || data[3] == 0x2B || data[3] == 0x2F) i = 4;\n        }\n        for(; i < len; i+=j) {\n          if(data[i] !== 0x2b) { j=1; out[k++] = String.fromCharCode(data[i]); continue; }\n          j=1;\n          if(data[i+1] === 0x2d) { j = 2; out[k++] = \"+\"; continue; }\n          while(String.fromCharCode(data[i+j]).match(/[A-Za-z0-9+\\/]/)) j++;\n          var dash = 0;\n          if(data[i+j] === 0x2d) { ++j; dash=1; }\n          var tt = [];\n          var o64;\n          var c1, c2, c3;\n          var e1, e2, e3, e4;\n          for(var l = 1; l < j - dash;) {\n            e1 = BM.indexOf(String.fromCharCode(data[i+l++]));\n            e2 = BM.indexOf(String.fromCharCode(data[i+l++]));\n            c1 = e1 << 2 | e2 >> 4;\n            tt.push(c1);\n            e3 = BM.indexOf(String.fromCharCode(data[i+l++]));\n            if(e3 === -1) break;\n            c2 = (e2 & 15) << 4 | e3 >> 2;\n            tt.push(c2);\n            e4 = BM.indexOf(String.fromCharCode(data[i+l++]));\n            if(e4 === -1) break;\n            c3 = (e3 & 3) << 6 | e4;\n            if(e4 < 64) tt.push(c3);\n          }\n          if((tt.length & 1) === 1) tt.length--;\n          o64 = decode(1201, tt);\n          for(l = 0; l < o64.length; ++l) out[k++] = o64[l];\n        }\n        break;\n      default: throw new Error(\"Unsupported magic: \" + cp + \" \" + magic[cp]);\n    }\n    else throw new Error(\"Unrecognized CP: \" + cp);\n    out.length = k;\n    return out.join(\"\");\n  };\n  var hascp = function hascp(cp) { return cpt[cp] || magic[cp]; };\n  cpt.utils = { decode: decode, encode: encode, hascp: hascp, magic: magic, cache:cache };\n  return cpt;\n}));\n",
            "type": "application/javascript",
            "title": "$:/plugins/tiddlywiki/xlsx-utils/dist/cpexcel.js",
            "module-type": "library"
        },
        "$:/plugins/tiddlywiki/xlsx-utils/license": {
            "text": "Copyright (C) 2012-2015  SheetJS\n\n   Licensed under the Apache License, Version 2.0 (the \"License\");\n   you may not use this file except in compliance with the License.\n   You may obtain a copy of the License at\n\n       http://www.apache.org/licenses/LICENSE-2.0\n\n   Unless required by applicable law or agreed to in writing, software\n   distributed under the License is distributed on an \"AS IS\" BASIS,\n   WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n   See the License for the specific language governing permissions and\n   limitations under the License.\n\nExcept where noted, this license applies to any and all software programs and associated documentation files created by the Original Author and distributed with the Software:\n\n'jszip.js' is a modified version of JSZip, Copyright (c) Stuart Knightley, David Duponchel, Franz Buchinger, Ant'onio Afonso.  JSZip is dual licensed and is used according to the terms of the MIT License.\n",
            "type": "text/plain",
            "title": "$:/plugins/tiddlywiki/xlsx-utils/license"
        },
        "$:/language/Help/xlsx-import": {
            "title": "$:/language/Help/xlsx-import",
            "description": "Import tiddlers from an XLSX spreadsheet file",
            "text": "Imports tiddlers from an XLSX spreadsheet file\n\n```\n--xlsx-import <filename> <importSpec>\n```\n\n* ''filename'': filename of the `.xlsx` file\n* ''title'': title of the import specification tiddler to be used for the import"
        },
        "$:/plugins/tiddlywiki/xlsx-utils/importer.js": {
            "text": "/*\\\ntitle: $:/plugins/tiddlywiki/xlsx-utils/importer.js\ntype: application/javascript\nmodule-type: library\n\nClass to import an Excel file\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar DEFAULT_IMPORT_SPEC_TITLE = \"$:/config/plugins/tiddlywiki/xlsx-utils/default-import-spec\";\n\nvar XLSX = require(\"$:/plugins/tiddlywiki/xlsx-utils/xlsx.js\"),\n\tJSZip = require(\"$:/plugins/tiddlywiki/jszip/jszip.js\");\n\nvar XLSXImporter = function(options) {\n\tthis.filename = options.filename;\n\tthis.text = options.text;\n\tthis.importSpec = options.importSpec || $tw.wiki.getTiddlerText(DEFAULT_IMPORT_SPEC_TITLE);\n\tthis.logger = new $tw.utils.Logger(\"xlsx-utils\");\n\tthis.results = [];\n\tif(JSZip) {\n\t\tthis.processWorkbook();\t\t\n\t}\n};\n\nXLSXImporter.prototype.getResults = function() {\n\treturn this.results;\n};\n\nXLSXImporter.prototype.processWorkbook = function() {\n\t// Read the workbook\n\tif(this.filename) {\n\t\tthis.workbook = XLSX.readFile(this.filename);\t\n\t} else if(this.text) {\n\t\tthis.workbook = XLSX.read(this.text,{type:\"base64\"});\n\t}\n\t// Read the root import specification\n\tthis.rootImportSpec = $tw.wiki.getTiddler(this.importSpec);\n\tif(this.rootImportSpec) {\n\t\t// Iterate through the sheets specified in the list field\n\t\t$tw.utils.each(this.rootImportSpec.fields.list || [],this.processSheet.bind(this));\n\t}\n};\n\nXLSXImporter.prototype.processSheet = function(sheetImportSpecTitle) {\n\t// Get the sheet import specifier\n\tthis.sheetImportSpec = $tw.wiki.getTiddler(sheetImportSpecTitle);\n\tif(this.sheetImportSpec) {\n\t\tthis.sheetName = this.sheetImportSpec.fields[\"import-sheet-name\"];\n\t\tthis.sheet = this.workbook.Sheets[this.sheetName];\n\t\tif(!this.sheet) {\n\t\t\tthis.logger.alert(\"Missing sheet '\" + this.sheetName + \"'\");\n\t\t} else {\n\t\t\t// Get the size of the sheet\n\t\t\tthis.sheetSize = this.measureSheet(this.sheet);\n\t\t\t// Read the column names from the first row\n\t\t\tthis.columnsByName = this.findColumns(this.sheet,this.sheetSize);\n\t\t\t// Iterate through the rows\n\t\t\tfor(this.row=this.sheetSize.startRow+1; this.row<=this.sheetSize.endRow; this.row++) {\n\t\t\t\t// Iterate through the row import specifiers\n\t\t\t\t$tw.utils.each(this.sheetImportSpec.fields.list || [],this.processRow.bind(this));\t\t\t\t\t\n\t\t\t}\n\t\t}\n\t}\n};\n\nXLSXImporter.prototype.processRow = function(rowImportSpecTitle) {\n\tthis.rowImportSpec = $tw.wiki.getTiddler(rowImportSpecTitle);\n\tif(this.rowImportSpec) {\n\t\tthis.tiddlerFields = {};\n\t\tthis.skipTiddler = false;\n\t\t// Determine the type of row\n\t\tthis.rowType = this.rowImportSpec.fields[\"import-row-type\"] || \"by-field\";\n\t\tswitch(this.rowType) {\n\t\t\tcase \"by-column\":\n\t\t\t\tthis.processRowByColumn();\n\t\t\t\tbreak;\n\t\t\tcase \"by-field\":\n\t\t\t\tthis.processRowByField();\n\t\t\t\tbreak;\n\t\t}\n\t\t// Save the tiddler if not skipped\n\t\tif(!this.skipTiddler) {\n\t\t\tif(!this.tiddlerFields.title) {\n\t\t\t\tthis.logger.alert(\"Missing title field for \" + JSON.stringify(this.tiddlerFields));\n\t\t\t}\n\t\t\tthis.results.push(this.tiddlerFields);\t\t\t\t\t\t\t\t\n\t\t}\n\t}\n};\n\nXLSXImporter.prototype.processRowByColumn = function() {\n\tvar self = this;\n\t// Iterate through the columns for the row\n\t$tw.utils.each(this.columnsByName,function(index,name) {\n\t\tvar cell = self.sheet[XLSX.utils.encode_cell({c: self.columnsByName[name], r: self.row})];\n\t\tname = name.toLowerCase();\n\t\tif(cell && cell.w && $tw.utils.isValidFieldName(name)) {\n\t\t\tself.tiddlerFields[name] = cell.w;\t\t\n\t\t}\n\t});\n\t// Skip the tiddler entirely if it doesn't have a title\n\tif(!this.tiddlerFields.title) {\n\t\tthis.skipTiddler = true;\n\t}\n};\n\nXLSXImporter.prototype.processRowByField = function() {\n\t// Iterate through the fields for the row\n\t$tw.utils.each(this.rowImportSpec.fields.list || [],this.processField.bind(this));\n};\n\nXLSXImporter.prototype.processField = function(fieldImportSpecTitle) {\n\tvar fieldImportSpec = $tw.wiki.getTiddler(fieldImportSpecTitle);\n\tif(fieldImportSpec) {\n\t\tvar fieldName = fieldImportSpec.fields[\"import-field-name\"],\n\t\t\tvalue;\n\t\tswitch(fieldImportSpec.fields[\"import-field-source\"]) {\n\t\t\tcase \"column\":\n\t\t\t\tvar columnName = fieldImportSpec.fields[\"import-field-column\"],\n\t\t\t\t\tcell = this.sheet[XLSX.utils.encode_cell({c: this.columnsByName[columnName], r: this.row})];\n\t\t\t\tif(cell) {\n\t\t\t\t\tswitch(fieldImportSpec.fields[\"import-field-type\"] || \"string\") {\n\t\t\t\t\t\tcase \"date\":\n\t\t\t\t\t\t\tif(cell.t === \"n\") {\n\t\t\t\t\t\t\t\tvalue = $tw.utils.stringifyDate(new Date((cell.v - (25567 + 2)) * 86400 * 1000));\n\t\t\t\t\t\t\t}\n\t\t\t\t\t\t\tbreak;\n\t\t\t\t\t\tcase \"string\":\n\t\t\t\t\t\t\t// Intentional fall-through\n\t\t\t\t\t\tdefault:\n\t\t\t\t\t\t\tvalue = cell.w;\n\t\t\t\t\t\t\tbreak;\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t\tbreak;\n\t\t\tcase \"constant\":\n\t\t\t\tvalue = fieldImportSpec.fields[\"import-field-value\"]\n\t\t\t\tbreak;\n\t\t}\n\t\tvalue = (value || \"\").trim();\n\t\tif(value === \"\") {\n\t\t\tif((fieldImportSpec.fields[\"import-field-skip-tiddler-if-blank\"] || \"\").trim().toLowerCase() === \"yes\") {\n\t\t\t\tthis.skipTiddler = true;\n\t\t\t}\n\t\t\tif(fieldImportSpec.fields[\"import-field-replace-blank\"]) {\n\t\t\t\tvalue = fieldImportSpec.fields[\"import-field-replace-blank\"];\n\t\t\t}\n\t\t}\n\t\tif(fieldImportSpec.fields[\"import-field-prefix\"]) {\n\t\t\tvalue = fieldImportSpec.fields[\"import-field-prefix\"] + value;\n\t\t}\n\t\tif(fieldImportSpec.fields[\"import-field-suffix\"]) {\n\t\t\tvalue = value + fieldImportSpec.fields[\"import-field-suffix\"];\n\t\t}\n\t\tswitch(fieldImportSpec.fields[\"import-field-list-op\"] || \"none\") {\n\t\t\tcase \"none\":\n\t\t\t\tthis.tiddlerFields[fieldName] = value;\n\t\t\t\tbreak;\n\t\t\tcase \"append\":\n\t\t\t\tvar list = $tw.utils.parseStringArray(this.tiddlerFields[fieldName] || \"\");\n\t\t\t\t$tw.utils.pushTop(list,value)\n\t\t\t\tthis.tiddlerFields[fieldName] = list;\n\t\t\t\tbreak;\n\t\t}\n\t}\n}\n\nXLSXImporter.prototype.measureSheet = function(sheet) {\n\tvar sheetRange = XLSX.utils.decode_range(sheet[\"!ref\"]);\n\treturn {\n\t\tstartRow: Math.min(sheetRange.s.r,sheetRange.e.r),\n\t\tendRow: Math.max(sheetRange.s.r,sheetRange.e.r),\n\t\tstartCol: Math.min(sheetRange.s.c,sheetRange.e.c),\n\t\tendCol: Math.max(sheetRange.s.c,sheetRange.e.c)\n\t}\n};\n\nXLSXImporter.prototype.findColumns = function(sheet,sheetSize) {\n\tvar columnsByName = {};\n\tfor(var col=sheetSize.startCol; col<=sheetSize.endCol; col++) {\n\t\tvar cell = sheet[XLSX.utils.encode_cell({c: col, r: sheetSize.startRow})],\n\t\t\tcolumnName;\n\t\tif(cell) {\n\t\t\tcolumnName = cell.w;\n\t\t\tif(columnName) {\n\t\t\t\tcolumnsByName[columnName] = col;\t\t\t\t\t\t\t\n\t\t\t}\n\t\t}\n\t}\n\treturn columnsByName;\n};\n\nexports.XLSXImporter = XLSXImporter;\n\n})();\n",
            "title": "$:/plugins/tiddlywiki/xlsx-utils/importer.js",
            "type": "application/javascript",
            "module-type": "library"
        },
        "$:/plugins/tiddlywiki/xlsx-utils/readme": {
            "title": "$:/plugins/tiddlywiki/xlsx-utils/readme",
            "text": "This plugin provides a flexible way to import tiddlers from Excel files. It is based on the library [[js-xlsx|https://github.com/SheetJS/js-xlsx]].\n\nThe plugin uses //import specifications// to determine how incoming spreadsheets are processed. You can view, create and edit import specifications in the control panel \"XLSX Utilities\" tab, or directly in the [[plugin controls|$:/plugins/tiddlywiki/xlsx-utils]]. This is also where you select which import specification is selected for use during the next import operation.\n\nEach sheet is expected to consist of a single header row followed by multiple content rows, each consisting of an independent record. The plugin automatically detects the extent of each sheet by looking for the bottom right cell that contains a value. This can lead to unexpected results if a cell is accidentally created with an invisible, blank value.\n\nImport specifications describe how tiddlers are created from a particular row of a sheet; multiple tiddlers can be generated from a single row.\n\nEach field of each tiddler can be assigned a constant value, or a value taken from a named column of the sheet, optionally with a prefix and/or suffix added. There is special support for handling list fields (like the tags field), with the ability to append new items to the list.\n\nInternally, each import specifier is actually modelled as a hierarchy of connected tiddlers with the field ''import-spec-role'' indicating the following roles:\n\n* ''workbook'': describes the sheets to be imported from the workbook\n* ''sheet'': describes each sheet to be processed\n* ''row'': describes the tiddlers to be imported from each row of each sheet\n* ''field'': describes the fields to be assigned to each tiddler from each row of each sheet\n\nThe easiest way to understand the structure is to explore the example import specifications, and the corresponding spreadsheets they are designed to handle.\n\nNote that there are many possible different ways of importing a particular spreadsheet, depending on whether the structures are modelled with fields, tags, prefixes or other mechanisms. The plugin is designed to support a wide range of applications.\n\nThis plugin also requires the JSZip plugin ([[$:/plugins/tiddlywiki/jszip]]) to be installed.\n"
        },
        "$:/plugins/tiddlywiki/xlsx-utils/startup.js": {
            "text": "/*\\\ntitle: $:/plugins/tiddlywiki/xlsx-utils/startup.js\ntype: application/javascript\nmodule-type: startup\n\nInitialisation\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n// Export name and synchronous status\nexports.name = \"xlsx-startup\";\nexports.after = [\"load-modules\"];\nexports.synchronous = true;\n\nexports.startup = function() {\n\t// Check JSZip is installed\n\tif(!$tw.utils.hop($tw.modules.titles,\"$:/plugins/tiddlywiki/jszip/jszip.js\")) {\n\t\t// Make a logger\n\t\tvar logger = new $tw.utils.Logger(\"xlsx-utils\");\n\t\tlogger.alert(\"The plugin 'xlsx-utils' requires the 'jszip' plugin to be installed\");\n\t}\n};\n\n})();\n",
            "title": "$:/plugins/tiddlywiki/xlsx-utils/startup.js",
            "type": "application/javascript",
            "module-type": "startup"
        },
        "$:/plugins/tiddlywiki/xlsx-utils/styles": {
            "title": "$:/plugins/tiddlywiki/xlsx-utils/styles",
            "tags": "[[$:/tags/Stylesheet]]",
            "text": "\\define quick-colour-selector-background() #bac0f1\n\\define quick-colour-selector-border() #9196c1\n\n\\define quick-colour-editor-background() #bae3f1\n\\define quick-colour-editor-controls() #d2ffff\n\\define quick-colour-editor-border() #97b8c3\n\n\\define quick-colour-workbook-background() #baf1db\n\\define quick-colour-workbook-controls() #d3fff6\n\\define quick-colour-workbook-border() #98c3b2\n\n\\define quick-colour-sheet-background() #f1ebba\n\\define quick-colour-sheet-controls() #fffed3\n\\define quick-colour-sheet-border() #c4be98\n\n\\define quick-colour-row-background() #f1baba\n\\define quick-colour-row-controls() #fed1d2\n\\define quick-colour-row-border() #c39697\n\n\\define quick-colour-field-background() #e0d4fb\n\\define quick-colour-field-controls() #fcefff\n\\define quick-colour-field-border() #b6adcb\n\n\n\\rules only filteredtranscludeinline transcludeinline macrodef macrocallinline\n\n.tc-import-spec-selector {\n\tborder: 1px solid <<quick-colour-selector-border>>;\n\tbackground-color: <<quick-colour-selector-background>>;\n\tpadding: 0.25em;\n}\n\n.tc-import-spec-editor-wrapper {\n\tborder: 1px solid <<quick-colour-editor-border>>;\n\tbackground-color: <<quick-colour-editor-background>>;\n\tpadding: 0.25em;\n}\n\n.tc-import-spec-editor {\n\tborder: 1px solid <<quick-colour-editor-border>>;\n\tbackground-color: <<colour background>>;\n\tmargin: 0.25em;\n}\n\n.tc-import-spec-editor-controls {\n\tdisplay: block;\n\tbackground-color: <<quick-colour-editor-controls>>;\n\tborder-bottom: 1px solid <<quick-colour-editor-background>>;\n\tpadding: 0;\n\tmargin: 0;\n\tlist-style: none;\n}\n\n.tc-import-spec-editor-controls li {\n\tpadding: 0.25em 0.5em;\n}\n\n.tc-import-spec-editor-controls li:not(:last-child) {\n\tborder-bottom: 1px solid <<quick-colour-editor-background>>;\n}\n\n.tc-import-spec-editor-list {\n}\n\n.tc-import-spec-workbook-wrapper {\n\tborder: 1px solid <<quick-colour-workbook-border>>;\n\tbackground-color: <<quick-colour-workbook-background>>;\n\tpadding: 0.25em;\n\tmargin: 0.5em;\n}\n\n.tc-import-spec-workbook {\n\tborder: 1px solid <<quick-colour-workbook-border>>;\n\tbackground-color: <<colour background>>;\n\tmargin: 0.25em;\n}\n\n.tc-import-spec-workbook-controls {\n\tdisplay: block;\n\tbackground-color: <<quick-colour-workbook-controls>>;\n\tborder-bottom: 1px solid <<quick-colour-workbook-background>>;\n\tpadding: 0;\n\tmargin: 0;\n\tlist-style: none;\n}\n\n.tc-import-spec-workbook-controls li {\n\tpadding: 0.25em 0.5em;\n}\n\n.tc-import-spec-workbook-controls li:not(:last-child) {\n\tborder-bottom: 1px solid <<quick-colour-workbook-background>>;\n}\n\n.tc-import-spec-workbook-list {\n}\n\n.tc-import-spec-sheet-wrapper {\n\tborder: 1px solid <<quick-colour-sheet-border>>;\n\tbackground-color: <<quick-colour-sheet-background>>;\n\tpadding: 0.25em;\n\tmargin: 0.5em;\n}\n\n.tc-import-spec-sheet {\n\tborder: 1px solid <<quick-colour-sheet-border>>;\n\tbackground-color: <<colour background>>;\n\tmargin: 0.25em;\n}\n\n.tc-import-spec-sheet-controls {\n\tdisplay: block;\n\tbackground-color: <<quick-colour-sheet-controls>>;\n\tborder-bottom: 1px solid <<quick-colour-sheet-background>>;\n\tpadding: 0;\n\tmargin: 0;\n\tlist-style: none;\n}\n\n.tc-import-spec-sheet-controls li {\n\tpadding: 0.25em 0.5em;\n}\n\n.tc-import-spec-sheet-controls li:not(:last-child) {\n\tborder-bottom: 1px solid <<quick-colour-sheet-background>>;\n}\n\n.tc-import-spec-sheet-list {\n}\n\n.tc-import-spec-row-wrapper {\n\tborder: 1px solid <<quick-colour-row-border>>;\n\tbackground-color: <<quick-colour-row-background>>;\n\tpadding: 0.25em;\n\tmargin: 0.5em;\n}\n\n.tc-import-spec-row {\n\tborder: 1px solid <<quick-colour-row-border>>;\n\tbackground-color: <<colour background>>;\n\tmargin: 0.25em;\n}\n\n.tc-import-spec-row-controls {\n\tdisplay: block;\n\tbackground-color: <<quick-colour-row-controls>>;\n\tborder-bottom: 1px solid <<quick-colour-row-background>>;\n\tpadding: 0;\n\tmargin: 0;\n\tlist-style: none;\n}\n\n.tc-import-spec-row-controls li {\n\tpadding: 0.25em 0.5em;\n}\n\n.tc-import-spec-row-controls li:not(:last-child) {\n\tborder-bottom: 1px solid <<quick-colour-row-background>>;\n}\n\n.tc-import-spec-row-list {\n\tlist-style: none;\n\tpadding: 0;\n\tmargin: 0;\n}\n\n.tc-import-spec-field-wrapper {\n\tfont-size: 0.9em;\n\tborder: 1px solid <<quick-colour-field-border>>;\n\tbackground-color: <<quick-colour-field-background>>;\n\tpadding: 0.25em;\n\tmargin: 0.5em;\n}\n"
        },
        "$:/plugins/tiddlywiki/xlsx-utils/xlsx-import-command.js": {
            "text": "/*\\\ntitle: $:/plugins/tiddlywiki/xlsx-utils/xlsx-import-command.js\ntype: application/javascript\nmodule-type: command\n\nCommand to import an xlsx file\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.info = {\n\tname: \"xlsx-import\",\n\tsynchronous: true\n};\n\nvar Command = function(params,commander,callback) {\n\tthis.params = params;\n\tthis.commander = commander;\n\tthis.callback = callback;\n};\n\nCommand.prototype.execute = function() {\n\tif(this.params.length < 1) {\n\t\treturn \"Missing parameters\";\n\t}\n\tvar self = this,\n\t\twiki = this.commander.wiki,\n\t\tfilename = this.params[0],\n\t\timportSpec = this.params[1],\n\t\tXLSXImporter = require(\"$:/plugins/tiddlywiki/xlsx-utils/importer.js\").XLSXImporter,\n\t\timporter = new XLSXImporter({\n\t\t\tfilename: filename,\n\t\t\timportSpec: importSpec\n\t\t});\n\t$tw.wiki.addTiddlers(importer.getResults());\n\treturn null;\n};\n\nexports.Command = Command;\n\n})();\n",
            "title": "$:/plugins/tiddlywiki/xlsx-utils/xlsx-import-command.js",
            "type": "application/javascript",
            "module-type": "command"
        }
    }
}

{
    "tiddlers": {
        "$:/plugins/tobibeer/appear/widget.js": {
            "text": "/*\\\r\ntitle: $:/plugins/tobibeer/appear/widget.js\r\ntype: application/javascript\r\nmodule-type: widget\r\n\r\nUse the appear widget for popups, sliders, accordion menus\r\n\r\n@preserve\r\n\\*/\n(function(){\"use strict\";var t=require(\"$:/core/modules/widgets/widget.js\").widget,e=function(t,e){this.initialise(t,e)},i={};e.prototype=new t;e.prototype.render=function(t,e){this.parentDomNode=t;this.nextSibling=e;this.computeAttributes();this.execute();var i,s,r,a,h,n,l=[];if(this.handle){this.getHandlerCache(this.handle,1);this.refreshHandler()}else{s={type:\"button\"};s.attributes=this.setAttributes(s,\"button\");i=s.attributes[\"class\"].value.trim();s.attributes[\"class\"].value=i+\" appear-show\"+(this.handler?\" tc-popup-absolute\":\"\");s.children=this.wiki.parseText(\"text/vnd.tiddlywiki\",this.show,{parseAsInline:true}).tree;h={type:\"reveal\",children:this.parseTreeNode.children};h.attributes=this.setAttributes(h,\"reveal\");h.isBlock=!(this.mode&&this.mode===\"inline\");if(h.attributes.type&&h.attributes.type.value===\"popup\"){s.attributes.popup=h.attributes.state;l.push(s);if(!this.handler){l.push(h)}else{s.attributes.handler=this.handler}}else{h.attributes.type={type:\"string\",value:\"match\"};h.attributes.text={type:\"string\",value:this.currentTiddler};s.attributes.set=h.attributes.state;s.attributes.setTo={type:\"string\",value:this.currentTiddler};a={type:\"reveal\",isBlock:this.block,children:[s],attributes:{type:{type:\"string\",value:\"nomatch\"},state:h.attributes.state,text:{type:\"string\",value:this.currentTiddler}}};if(!this.once){r=$tw.utils.deepCopy(s);r.attributes[\"class\"].value=i+\" appear-hide \"+(this.attr.button.selectedClass?this.attr.button.selectedClass:\"\");r.attributes.setTo={type:\"string\",value:\"\"};r.children=this.wiki.parseText(\"text/vnd.tiddlywiki\",this.hide,{parseAsInline:true}).tree}n=$tw.utils.deepCopy(a);n.children=[];if(!this.once){n.children.push(r)}if(!this.handler){n.children.push(h)}n.attributes.type.value=\"match\";l.push(a,n)}this.makeChildWidgets(l);this.renderChildren(this.parentDomNode,e);if(this.handler){this.addToHandlerCache(h)}}};e.prototype.execute=function(){var t=this;this.attr={map:{reveal:{\"class\":1,position:1,retain:1,state:1,style:1,tag:1,type:1},button:{\"button-class\":1,\"button-style\":1,\"button-tag\":1,tooltip:1,selectedClass:1}},rename:{\"button-class\":\"class\",\"button-style\":\"style\",\"button-tag\":\"tag\"},button:{},reveal:{}};$tw.utils.each(this.attributes,function(e,i){var s;$tw.utils.each(t.attr.map,function(r,a){$tw.utils.each(Object.keys(r),function(r){if(r==i){t.attr[a][i]=e;s=false;return false}});return s})});this.currentTiddler=this.getVariable(\"currentTiddler\");this.show=this.getValue(this.attributes.show,\"show\");this.hide=this.getValue(this.attributes.hide,\"hide\");if(!this.hide){this.hide=this.show}this.once=this.attributes.once&&this.attributes.once!==\"false\";this.$state=this.attributes.$state;this.mode=this.getValue(this.attributes.mode,\"mode\");this.handle=this.attributes.handle;this.handler=this.attributes.handler;this.handlerVariables=(this.attributes.variables||\"\")+\" currentTiddler\";this.keep=[\"yes\",\"true\"].indexOf((this.getValue(this.attributes.keep,\"keep\")||\"\").toLocaleLowerCase())>-1;if(!this.attr.reveal.state){this.attr.reveal.state=this.getValue(undefined,\"default-state\")+this.currentTiddler+this.getStateQualifier()+\"/\"+(this.attr.reveal.type?this.attr.reveal.type+\"/\":\"\")+(this.mode?this.mode+\"/\":\"\")+(this.once?\"once/\":\"\")+(this.$state?\"/\"+this.$state:\"\")}};e.prototype.refresh=function(t){var e=this.computeAttributes();if(Object.keys(e).length){this.refreshSelf();return true}if(this.handle){this.refreshHandler()}return this.refreshChildren(t)};e.prototype.getValue=function(t,e){var i,s,r={show:\"»\",\"default-state\":\"$:/temp/appear/\"};if(t===undefined){i=this.wiki.getTiddler(\"$:/plugins/tobibeer/appear/defaults/\"+e);if(i){s=i.getFieldString(\"undefined\");if(!s||s===\"false\"){t=i.getFieldString(\"text\")}}}if(t===undefined){t=r[e]}return t};e.prototype.setAttributes=function(t,e){var i=this,s={};$tw.utils.each(Object.keys(this.attr.map[e]),function(r){var a,h=i.attr.rename[r];if(!h){h=r}a=i.getValue(i.attr[e][r],r);if(h===\"class\"){a=[\"appear\",\"appear-\"+e,e===\"reveal\"&&i.keep?\"tc-popup-keep\":\"\",i.mode?\"appear-\"+i.mode:\"\",i.once?\"appear-once\":\"\",a||\"\"].join(\" \")}if(a!==undefined){if(h===\"tag\"){t.tag=a}else{s[h]={type:\"string\",value:a}}}});return s};e.prototype.getHandlerCache=function(t,e){var s=i[t];if(!s||e){i[t]={handled:{},handle:{}};s=i[t]}return s};e.prototype.refreshHandler=function(){var t=this,e=this.getHandlerCache(this.handle),s=e.handle;if(Object.keys(s).length){$tw.utils.each(s,function(e,i){t.removeChildNode(i);t.children.push(t.makeChildWidget(e));t.children[t.children.length-1].render(t.parentDomNode,t.nextSibling)});i[this.handle].handle={}}};e.prototype.removeChildNode=function(t){var e=this;$tw.utils.each(this.children,function(i,s){if(i.children[0].state===t){i.removeChildDomNodes();e.children.splice(s);return false}})};e.prototype.addToHandlerCache=function(t){var e=this,i=t.attributes.state.value,s=this.getHandlerCache(this.handler),r=s.handled[i],a={type:\"vars\",children:[t],attributes:{}};$tw.utils.each((this.handlerVariables||\"\").split(\" \"),function(t){t=t.trim();if(t){a.attributes[t]={type:\"string\",value:(e.getVariable(t)||\"\").toString()}}});if(a!==r){s.handle[i]=a;this.wiki.setText(\"$:/temp/appear-handler/\"+this.handler,\"text\",undefined,i)}};exports.appear=e})();",
            "title": "$:/plugins/tobibeer/appear/widget.js",
            "type": "application/javascript",
            "module-type": "widget"
        },
        "$:/plugins/tobibeer/appear/defaults/show": {
            "title": "$:/plugins/tobibeer/appear/defaults/show",
            "text": "»"
        },
        "$:/plugins/tobibeer/appear/defaults/mode": {
            "title": "$:/plugins/tobibeer/appear/defaults/mode",
            "text": "block"
        },
        "$:/plugins/tobibeer/appear/defaults/keep": {
            "title": "$:/plugins/tobibeer/appear/defaults/keep",
            "text": "yes"
        },
        "$:/plugins/tobibeer/appear/defaults/button-class": {
            "title": "$:/plugins/tobibeer/appear/defaults/button-class",
            "text": "tc-btn-invisible tc-tiddlylink"
        },
        "$:/plugins/tobibeer/appear/defaults/default-state": {
            "title": "$:/plugins/tobibeer/appear/defaults/default-state",
            "text": "$:/temp/appear/"
        },
        "$:/plugins/tobibeer/appear/popup.js": {
            "text": "/*\\\r\ntitle: $:/plugins/tobibeer/appear/popup.js\r\ntype: application/javascript\r\nmodule-type: utils\r\n\r\nAn enhanced version of the core Popup to support:\r\n* absolute popups\r\n* preview popups\r\n* popup z-index\r\n\r\n@preserve\r\n\\*/\n(function(){\"use strict\";var t=require(\"$:/core/modules/utils/dom/popup.js\").Popup,e=require(\"$:/core/modules/widgets/reveal.js\").reveal,s=e.prototype.refresh;t.prototype.show=function(t){var e,s=t.domNode,p=$tw.utils.hasClass(s,\"tc-popup-absolute\"),o=this.popupInfo(s),i=function(t){var e=t,s=0,p=0;do{s+=e.offsetLeft||0;p+=e.offsetTop||0;e=e.offsetParent}while(e);return{left:s,top:p}},l={left:s.offsetLeft,top:s.offsetTop};e=o.popupLevel;if(o.isHandle){e++}this.cancel(e);if(this.findPopup(t.title)===-1){this.popups.push({title:t.title,wiki:t.wiki,domNode:s})}l=p?i(s):l;t.wiki.setTextReference(t.title,\"(\"+l.left+\",\"+l.top+\",\"+s.offsetWidth+\",\"+s.offsetHeight+\")\");if(this.popups.length>0){this.rootElement.addEventListener(\"click\",this,true)}};t.prototype.popupInfo=function(t){var e,s=false,p=t;while(p&&e===undefined){if($tw.utils.hasClass(p,\"tc-popup-handle\")||$tw.utils.hasClass(p,\"tc-popup-keep\")){s=true}if($tw.utils.hasClass(p,\"tc-reveal\")&&($tw.utils.hasClass(p,\"tc-popup\")||$tw.utils.hasClass(p,\"tc-popup-handle\"))){e=parseInt(p.style.zIndex)-1e3}p=p.parentNode}var o={popupLevel:e||0,isHandle:s};return o};t.prototype.handleEvent=function(t){if(t.type===\"click\"){var e=this.popupInfo(t.target),s=e.popupLevel-1;if(e.isHandle){if(s<0){s=1}else{s++}}this.cancel(s)}};e.prototype.refresh=function(){var t,e,p=this.isOpen;e=s.apply(this,arguments);t=this.domNodes[0];if(this.isOpen&&(p!==this.isOpen||!t.style.zIndex)&&t&&(this.type===\"popup\"||$tw.utils.hasClass(t,\"tc-block-dropdown\")&&$tw.utils.hasClass(t,\"tc-reveal\"))){t.style.zIndex=1e3+$tw.popup.popups.length}return e}})();",
            "title": "$:/plugins/tobibeer/appear/popup.js",
            "type": "application/javascript",
            "module-type": "utils"
        },
        "$:/plugins/tobibeer/appear/readme": {
            "title": "$:/plugins/tobibeer/appear/readme",
            "text": "This plugin provides the ''$appear'' widget that can render popups and sliders (inline or block) as well as accordion menus.\n\n!! Attributes\r\n; type\r\n: set to `popup` to have the content appear as a popup\r\n; show\r\n: the button label\r\n; hide\r\n: the hide button label\r\n; mode\r\n: either `block` or `inline`, with respect to the inner content\r\n: any other mode is interpreted as block mode, without the default styles applying, e.g. drop-shadows\r\n; once\r\n: allows to click the button once, then hides it (unless the state is deleted)\r\n; $state\r\n: the widget calculates a state for you, use this to append a simple id\r\n; state\r\n: alternatively, specify a fully qualified state\r\n; keep\r\n: make popups sticky when `yes` or `true`\r\n; handle / handler / variables\r\n: allows to take the popup contents out of the flow and render them elsewhere on the page\r\n: required to properly create popups in table cells and other constained elements\r\n: specify variables to take along\n\n<br>\n\n; documentation / examples / demos...\r\n: http://tobibeer.github.io/tw5-plugins#appear\r\n"
        },
        "$:/plugins/tobibeer/appear/styles": {
            "title": "$:/plugins/tobibeer/appear/styles",
            "tags": "$:/tags/Stylesheet",
            "text": "\\rules only filteredtranscludeinline transcludeinline macrodef macrocallinline html\n\n<pre>.tc-reveal.appear-block,\r\n.tc-popup.appear {\r\n\tborder-radius: 5px;\r\n\tpadding: 1px 1em;\r\n\t<<box-shadow \"2px 2px 4px rgba(0,0,0,0.3)\">>;\r\n}\r\n.tc-popup.appear {\r\n\tpadding: 0 1em;\r\n\tbackground: <<colour background>>;\r\n}\r\n.appear-reveal.appear-inline{\r\nmargin-left:5px;\r\n}\r\n.appear-reveal.appear-inline.appear-once{\r\nmargin-left:0;\r\n}</pre>"
        }
    }
}

\rules only filteredtranscludeinline transcludeinline macrodef macrocallinline html

<pre>.tc-reveal.appear-block,
.tc-popup.appear {
	border-radius: 5px;
	padding: 1px 1em;
	<<box-shadow "2px 2px 4px rgba(0,0,0,0.3)">>;
}
.tc-popup.appear {
	padding: 0 1em;
	background: <<colour background>>;
}
.appear-reveal.appear-inline{
color:red;
margin-left:5px;
}
.appear-reveal.appear-inline.appear-once{
color:red;
margin-left:0;
}</pre>

/*\
title: $:/plugins/tobibeer/toc/filter.js
type: application/javascript
module-type: filteroperator

A filter to fetch titles in a Table Of Contents

@preserve
\*/
(function(){"use strict";exports.toc=function(t,e,i){var r,s,l,n=[],u="toc filter error: ",c=e.suffix||"",f={level:-1,root:e.operand||i.widget.getVariable("currentTiddler")||"TableOfContents",list:"tags",exclude:"",truncate:"",sort:""},o=[[/^\s+/,function(){}],[/^(exclude|truncate)=\s*([^\s]+)(?:\s|$)/i,function(t){f[t[1]]=i.widget.getVariable(t[2])}],[/^sort=\s*([^\s]+)(?:\s|$)/i,function(t){var e=t[1];f.sort=e.charAt(0)!=="!"?"sort["+e+"]":"!sort["+e.substr(1)+"]"}],[/^level=\s*(-?\d+)(?:\s|$)/i,function(t){var e=parseInt(t[1],10);if(!isNaN(e)){f.level=e}}],[/^list\=\s*([^\s]+)(?:\s|$)/i,function(t){f.list=t[1]}]],a=function(t,e){e++;var i=f.list==="tags"?"[["+t+"]tagging[]"+f.sort+"]":"[["+t+"]listed["+f.list+"]"+f.sort+"]";$tw.utils.each($tw.wiki.filterTiddlers(i),function(t){if(n.indexOf(t)<0&&r.indexOf(t)<0){n.push(t);if((f.level===-1||e<f.level)&&s.indexOf(t)<0){a(t,e)}}})};try{while(c){l=c;$tw.utils.each(o,function(t){var e=t[0].exec(c);if(e){t[1].call(this,e);c=c.substr(e[0].length);return false}});if(c===l){throw u+"invalid suffix(es) '"+c+"'"}}r=f.exclude?$tw.wiki.filterTiddlers(f.exclude):[];s=f.truncate?$tw.wiki.filterTiddlers(f.truncate):[];a(f.root,0);return n}catch(d){return[u+d]}}})();

{
    "tiddlers": {
        "$:/plugins/tongerner/layout_adjustment/icon": {
            "created": "20160109160239631",
            "text": "<?xml version=\"1.0\" encoding=\"UTF-8\" standalone=\"no\"?>\n<svg\n   xmlns:dc=\"http://purl.org/dc/elements/1.1/\"\n   xmlns:cc=\"http://creativecommons.org/ns#\"\n   xmlns:rdf=\"http://www.w3.org/1999/02/22-rdf-syntax-ns#\"\n   xmlns:svg=\"http://www.w3.org/2000/svg\"\n   xmlns=\"http://www.w3.org/2000/svg\"\n   version=\"1.1\"\n   id=\"svg2\"\n   viewBox=\"0 0 99.212598 99.212598\"\n   height=\"28mm\"\n   width=\"28mm\">\n  <defs\n     id=\"defs4\" />\n  <metadata\n     id=\"metadata7\">\n    <rdf:RDF>\n      <cc:Work\n         rdf:about=\"\">\n        <dc:format>image/svg+xml</dc:format>\n        <dc:type\n           rdf:resource=\"http://purl.org/dc/dcmitype/StillImage\" />\n        <dc:title></dc:title>\n      </cc:Work>\n    </rdf:RDF>\n  </metadata>\n  <g\n     transform=\"translate(0,-953.14961)\"\n     id=\"layer1\">\n    <path\n       d=\"m 48.98237,1051.0187 -41.9831281,-24.239 -1.3e-6,-48.47796 41.9831264,-24.23897 41.983128,24.23897 10e-7,48.47796 z\"\n       id=\"path4142\"\n       style=\"fill:#a0a0ff;fill-opacity:1;stroke:#a0a0ff;stroke-width:1.22180152;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1\" />\n    <path\n       id=\"svg_3\"\n       d=\"m 73.181296,981.41361 -15.557059,15.81597 c 0.613193,0.6247 0.612066,1.63724 0,2.25944 -0.61371,0.62398 -1.608224,0.62448 -2.223622,0 l -6.664954,-6.77579 c -0.614389,-0.62462 -0.613627,-1.63801 0,-2.26065 0.613286,-0.62358 1.606952,-0.62444 2.222443,0 l 0,0 15.557067,-15.81609 c 1.841121,-1.87179 4.826197,-1.87179 6.66732,0 1.84113,1.87178 1.841122,4.90654 -1e-5,6.77832 z m -50.004832,46.31849 -2.222443,-2.2595 3.306205,-5.6205 3.361125,-1.1578 23.335565,-23.72413 2.222436,2.25941 -23.335558,23.72422 -1.138682,3.417 -5.528648,3.3613 z\"\n       style=\"fill-rule:evenodd\" />\n  </g>\n</svg>\n",
            "creator": "TonGerner",
            "modified": "20170103121535644",
            "modifier": "TonGerner",
            "title": "$:/plugins/tongerner/layout_adjustment/icon",
            "type": "image/svg+xml"
        },
        "$:/plugins/tongerner/layout_adjustment/macros": {
            "created": "20150801122014492",
            "text": "\\define inputBox() <$edit-text tiddler=\"$(reftarget)$\" field=\"$(reffield)$\" class=\"$(refclass)$\"/>\n\n\\define tableRow(header,target,field,class)\n<$set name=\"reftarget\" value=\"$target$\">\n<$set name=\"reffield\" value=\"$field$\">\n<$set name=\"refclass\" value=\"settings\">\n<tr><th>$header$ </th><td><<inputBox>></td></tr>\n</$set>\n</$set>\n</$set>\n\\end\n",
            "title": "$:/plugins/tongerner/layout_adjustment/macros",
            "tags": "$:/tags/Macro",
            "modifier": "TonGerner",
            "modified": "20170103121557249",
            "creator": "TonGerner"
        },
        "$:/plugins/tongerner/layout_adjustment/readme": {
            "text": "''Note:''<br>This plugin contains 'general' settings for the layout and is additionally required for the following plugins: ^^1^^\n\n* Top menu\n* Top-left menu (top + left menu)\n* Left menu\n* Toolbar (on top)\n* Tiddlersbar\n* ~TabStory (alternative tiddlersbar at top of story)\n* Uptoolbar (toolbar above title)\n* Tristate (tristate sidebar)\n\nThis plugin contains layout code common to the mentioned plugins and let you adjust:\n\n!! Theme tweaks\n(Also available via ''Control Panel > Appearance > Theme Tweaks'')\n\n* Sidebar layout\n* Story left position\n* Story top position\n* Story right\n* Story width\n* Tiddler width\n* Sidebar top position (new)\n* Sidebar width\n\n!! Other layout settings\n* Color and height of the top bar (as a boundary for top menu, toolbar, tiddlersbar, etc.)\n* Top padding of a tiddler\n* Vertical position of 'sticky titles' ^^1^^\n* Vertical position 'sticky editor toolbar' ^^1^^\n* Color for  displaying the  'active' state of some toggle buttons.\n\nSettings for the layout can be found in ''~ControlPanel > Appearance > [[Plugin tweaks|$:/plugins/tongerner/layout_adjustment/tweaks]]''.\n\n|borderless|k\n|^^^1^^ |&nbsp;&nbsp;|All these plugins contain a 'Settings' tiddler tagged with $:/tags/plugin-tweaks and will show - when installed - a tab under 'Plugin tweaks'.|\n|^^^2^^ ||To become effectieve, [[$:/themes/tiddlywiki/vanilla/sticky_]] need to be renamed to `$:/themes/tiddlywiki/vanilla/sticky` thereby overwriting the shadow tiddler.|\n\n<<<\n''Note:''<br>'Sticky' works for tiddler titles and for the editor toolbar (the latter only in non-preview mode!).\n<<<",
            "title": "$:/plugins/tongerner/layout_adjustment/readme",
            "modifier": "TonGerner",
            "modified": "20170507165742525",
            "creator": "TonGerner",
            "created": "20150731184044439"
        },
        "$:/plugins/tongerner/layout_adjustment/settings": {
            "text": "!!Layout settings\n<table class=\"tablestyle\">\n@@.brown ''Top bar''@@\n<<tableRow \"Background color 'Topbar'\" \"$:/plugins/tongerner/layout_adjustment/styles\" \"topbar-background-color\">>\n<<tableRow \"Height 'Topbar'\" \"$:/plugins/tongerner/layout_adjustment/styles\" \"topbar-height\">>\n@@.brown ''Tiddler''@@\n<<tableRow \"Top padding\" \"$:/plugins/tongerner/layout_adjustment/styles\" \"tiddler-padding-top\">>\n@@.brown ''Sticky''@@\n<<tableRow \"Top 'sticky title' ^^1^^\" \"$:/themes/tiddlywiki/vanilla/sticky\" \"top-sticky-title\">>\n<<tableRow \"Top 'sticky editor toolbar' ^^1^^\" \"$:/themes/tiddlywiki/vanilla/sticky\" \"top-sticky-editor-toolbar\">>\n@@.brown ''Button color''@@\n<<tableRow \"Active button color\" \"$:/plugins/tongerner/layout_adjustment/styles\" \"active-state-color\">>\n</table>\n\n|borderless|k\n|^^^1^^ |&nbsp;&nbsp;|To become effectieve, [[$:/themes/tiddlywiki/vanilla/sticky_]] need to be renamed to `$:/themes/tiddlywiki/vanilla/sticky` thereby overwriting the shadow tiddler.|\n\n<<<\n''Note:''<br>'Sticky' works for tiddler titles and for the editor toolbar (the latter only in non-preview mode!).\n<<<\n\n<$button message=\"tm-open-window\" param=\"$:/plugins/tongerner/layout_adjustment/settings-help\" tooltip=\"Help\" aria-label=\"Help\">Help</$button>\n\n",
            "title": "$:/plugins/tongerner/layout_adjustment/settings",
            "tags": "$:/tags/plugin-tweaks",
            "order": "2",
            "modifier": "TonGerner",
            "modified": "20170507170005446",
            "creator": "TonGerner",
            "created": "20150729190109349",
            "caption": "Layout"
        },
        "$:/plugins/tongerner/layout_adjustment/settings-help": {
            "created": "20150801124528672",
            "text": "<<<\n''Note:''<br>You can enter values in allowed CSS units, e.g. `%`, `px`, `em`...\n<<<\n\n|Item|Entry |Description |Default |h\n|Topbar |Background color 'Topbar'|Background color of the topbar<br>Transparent when left 'blank'''!''| ^^''1''^^ |\n|~|Height 'Topbar'|Height of the topbar| 0px ^^''2''^^ |\n|Tiddler |Top padding |Top padding of tiddler  | 30px |\n|Sticky |Top 'sticky title' |Position sticky title from top | 0px |\n|~|Top 'sticky editor toolbar'|Position sticky editor toolbar from top| 35px ^^''3''^^ |\n|Toggle&nbsp;button|Active button color |Color indicating 'active' state of toggle button | #0044BB |\n\n<br>\n\n|borderless|k\n|^^^''1''^^ |&nbsp;&nbsp;|Default left blank; `#F4F4F4` is the Page background color for the Snow White theme|\n\n<br>\n\n|borderless|k\n|^^^''2''^^ |&nbsp;&nbsp;||A ''height > 0'' is required to 'see' the top bar!|\n\n<br>\n\n|borderless|k\n|^^^''3''^^ |&nbsp;&nbsp;||About 5px higher than Top 'sticky title' to prevent hiding the tiddler control buttons|\n",
            "title": "$:/plugins/tongerner/layout_adjustment/settings-help",
            "tags": "",
            "modifier": "TonGerner",
            "modified": "20170405094002385",
            "creator": "TonGerner"
        },
        "$:/plugins/tongerner/layout_adjustment/sidebar-top": {
            "text": "0px",
            "title": "$:/plugins/tongerner/layout_adjustment/sidebar-top",
            "tags": "",
            "modified": "20170317105358712",
            "created": "20161213115930178"
        },
        "$:/plugins/tongerner/layout_adjustment/styles": {
            "created": "20161212103011213",
            "text": "<pre>/* LAYOUT SETTINGS */\n\n/* VERTICAL OFFSET FOR TOP OF SIDEBAR */\nhtml .tc-sidebar-scrollable {\n    top: {{$:/plugins/tongerner/layout_adjustment/sidebar-top}};\n}\n\n* BACKGROUND COLOR TOPRIGHTBAR (with double chevron) */\n.tc-topbar {\n     background-color: {{!!topbar-background-color}};\n}\n\n/* TOPBAR */\n.tc-toolbar {\n     display:block;\n     position:fixed;\n     left:0px;\n     top:0px;\n     width:100%;\n     height: {{!!topbar-height}};\n     background-color: {{!!topbar-background-color}};\n     z-index: 1000;\n}\n\n/* TOP PADDING TIDDLER */\nbody.tc-body .tc-tiddler-frame {\n     padding-top: {{!!tiddler-padding-top}};\n}\n\n/* COLOR ACTIVE STATE TOGGLE BUTTON */\nbody.tc-body .tgc-active-indicator {\n     color: {{!!active-state-color}};\n}\nbody.tc-body .tgc-active-indicator svg {\n     fill: {{!!active-state-color}};\n}\n\nbody.tc-body .tgc-active-indicator:hover svg {\n     fill: <<colour \"foreground\">>;\n}\n\n/* SETTINGS TABLE */\n/* WIDTH, FONT-SIZE SETTINGS TABLE */\ninput[type='text'].settings {\n\twidth: 120px;\n/*\tfont-size: 0.9em;*/\n}\n\ntable.tablestyle {\n     font-size: 0.9em;\n     border-width: 0px;\n     border-style: solid;\n     padding: 2px;\n     border-color: #DDD;\n     border-collapse: collapse;\n}\ntable.tablestyle th {\n     background-color: #F0F0F0;\n     border-color: #DDD;\n     text-align: left;\n     vertical-align: top;\n     border-style: solid;\n     border-width: 1px;\n     padding: 5px;\n}\ntable.tablestyle tr {\n     background-color: #F0F0F0;\n     padding: 0px;\n}\ntable.tablestyle td {\n     border-color: #DDD;\n     border-style: solid;\n     border-width: 1px;\n     padding:2px;\n}\n/* BORDERLESS TABLES */\n.borderless, .borderless table, .borderless td, .borderless tr, .borderless th, .borderless tbody {\n     border:0 !important;\n     margin:0 !important;\n     padding:0 !important;\n}\n</pre>",
            "topbar-height": "0px",
            "topbar-background-color": "",
            "title": "$:/plugins/tongerner/layout_adjustment/styles",
            "tiddler-padding-top": "30px",
            "tags": "$:/tags/Stylesheet",
            "story-river-top": "0px",
            "sidebar-top": "0px",
            "modifier": "TonGerner",
            "modified": "20170428123117965",
            "list-after": "$:/themes/tiddlywiki/vanilla/base",
            "creator": "TonGerner",
            "active-state-color": "#0044BB"
        },
        "$:/plugins/tongerner/layout_adjustment/themetweaks": {
            "created": "20161212090056554",
            "text": "!! Theme tweaks<br>@@font-size:0.75em;(excerpt from 'Theme Tweaks' tab)@@\n|tablestyle|k\n|<$link to=\"$:/themes/tiddlywiki/vanilla/options/sidebarlayout\">Sidebar layout</$link> |<$select tiddler=\"$:/themes/tiddlywiki/vanilla/options/sidebarlayout\"><option value=\"fixed-fluid\">Fixed story, Fluid sidebar</option><option value=\"fluid-fixed\">Fluid story, Fixed sidebar</option></$select> |\n|<$link to=\"$:/themes/tiddlywiki/vanilla/metrics/storyleft\">Story left position</$link>|^<$edit-text tiddler=\"$:/themes/tiddlywiki/vanilla/metrics/storyleft\" default=\"\" tag=\"input\"/> |\n|<$link to=\"$:/themes/tiddlywiki/vanilla/metrics/storytop\">Story top position</$link>|^<$edit-text tiddler=\"$:/themes/tiddlywiki/vanilla/metrics/storytop\" default=\"\" tag=\"input\"/> |\n|<$link to=\"$:/themes/tiddlywiki/vanilla/metrics/storyright\">Story right</$link>|^<$edit-text tiddler=\"$:/themes/tiddlywiki/vanilla/metrics/storyright\" default=\"\" tag=\"input\"/> |\n|<$link to=\"$:/themes/tiddlywiki/vanilla/metrics/storywidth\">Story width</$link>|^<$edit-text tiddler=\"$:/themes/tiddlywiki/vanilla/metrics/storywidth\" default=\"\" tag=\"input\"/> |\n|<$link to=\"$:/themes/tiddlywiki/vanilla/metrics/tiddlerwidth\">Tiddler width</$link>|^<$edit-text tiddler=\"$:/themes/tiddlywiki/vanilla/metrics/tiddlerwidth\" default=\"\" tag=\"input\"/> |\n|<$link to=\"$:/plugins/tongerner/layout_adjustment/sidebar-top\">Sidebar top position</$link> |^<$edit-text tiddler=\"$:/plugins/tongerner/layout_adjustment/sidebar-top\" default=\"\" tag=\"input\"/> |\n|<$link to=\"$:/themes/tiddlywiki/vanilla/metrics/sidebarwidth\">Sidebar width</$link> |^<$edit-text tiddler=\"$:/themes/tiddlywiki/vanilla/metrics/sidebarwidth\" default=\"\" tag=\"input\"/> |\n<$button message=\"tm-open-window\" param=\"$:/plugins/tongerner/layout_adjustment/themetweaks-help\" tooltip=\"Help\" aria-label=\"Help\">Help</$button>",
            "title": "$:/plugins/tongerner/layout_adjustment/themetweaks",
            "tags": "$:/tags/plugin-tweaks",
            "order": "1",
            "modified": "20170405091408245",
            "caption": "Theme tweaks"
        },
        "$:/plugins/tongerner/layout_adjustment/themetweaks-help": {
            "created": "20161212130221042",
            "text": "|Entry |Description |Default |Remarks |h\n|^Sidebar layout |^Choice between Fluid story, fixed sidebar and Fixed story, fluid sidebar|Fluid story, fixed sidebar|''Fluid story, fixed sidebar interferes with Tristate plugin'' => select Fixed story, fluid sidebar then|\n|^Story left position |^How far the left margin of the story river (tiddler area) is from the left of the page| 0px||\n|^Story top position |^How far the top margin of the story river is from the top of the page| 0px ^^1^^||\n|^Story right |^How far the left margin of the sidebar is from the left of the page| 770px||\n|^Story width |^The overall width of the story river| 770px||\n|^Tiddler width |^Within the story river| 686px||\n|^Sidebar top position |^Start of the sidebar<br>(from the top)| 0px ^^1^^||\n|^Sidebar width |^The width of the sidebar in fluid-fixed layout| 350px||\n\n|borderless|k\n|^^^''1''^^ |&nbsp;&nbsp;|Default values; ''need to be adjusted (increased) in case of adding a top menu, toolbar, tiddlersbar, ... to the wiki!''|",
            "title": "$:/plugins/tongerner/layout_adjustment/themetweaks-help",
            "tags": "",
            "modified": "20170506100639692"
        },
        "$:/plugins/tongerner/layout_adjustment/topbar": {
            "created": "20150731184520854",
            "creator": "TonGerner",
            "text": "<div class=\"tc-toolbar\"></div>",
            "modified": "20170103121831908",
            "tags": "$:/tags/PageTemplate",
            "title": "$:/plugins/tongerner/layout_adjustment/topbar",
            "modifier": "TonGerner"
        },
        "$:/plugins/tongerner/layout_adjustment/tweaks": {
            "created": "20150801100456266",
            "creator": "TonGerner",
            "text": "The general layout adjustments can be found under the 'Layout' tab. Dependent on installed plugins other tabs are available ('Top menu', 'Top-left menu', 'Toolbar', 'Tiddlersbar, '~TabStory', 'Uptoolbar', 'Tristate').\n<<tabs \"[all[shadows+tiddlers]tag[$:/tags/plugin-tweaks]nsort[order]]\" \"$:/plugins/tongerner/layout_adjustment/settings\" \"\" \"tc-vertical\">>",
            "caption": "Plugin tweaks",
            "modified": "20170506100603573",
            "modifier": "TonGerner",
            "tags": "$:/tags/ControlPanel/Appearance",
            "title": "$:/plugins/tongerner/layout_adjustment/tweaks"
        },
        "$:/themes/tiddlywiki/vanilla/sticky_": {
            "created": "20170330150510113",
            "text": "<$reveal state=\"$:/themes/tiddlywiki/vanilla/options/stickytitles\" type=\"match\" text=\"yes\">\n``\n.tc-tiddler-title {\n     position: -webkit-sticky;\n     position: -moz-sticky;\n     position: -o-sticky;\n     position: -ms-sticky;\n     position: sticky;\n     top: ``{{!!top-sticky-title}}``;\n     background: ``<<colour tiddler-background>>``;\n     z-index: 500;\n}\n.tc-editor-toolbar {\n     position: -webkit-sticky;\n     position: -moz-sticky;\n     position: -o-sticky;\n     position: -ms-sticky;\n     position: sticky;\n     top: ``{{!!top-sticky-editor-toolbar}}``;\n     background: ``<<colour tiddler-background>>``;\n     z-index: 500;\n}\n``\n</$reveal>\n",
            "type": "text/vnd.tiddlywiki",
            "top-sticky-title": "0px",
            "top-sticky-editor-toolbar": "35px",
            "title": "$:/themes/tiddlywiki/vanilla/sticky_",
            "tags": "",
            "modified": "20170401160916822"
        }
    }
}

84px

<pre>/* LAYOUT SETTINGS */

/* VERTICAL OFFSET FOR TOP OF SIDEBAR */
html .tc-sidebar-scrollable {
    top: {{$:/plugins/tongerner/layout_adjustment/sidebar-top}};
}

* BACKGROUND COLOR TOPRIGHTBAR (with double chevron) */
.tc-topbar {
     background-color: {{!!topbar-background-color}};
}

/* TOPBAR */
.tc-toolbar {
     display:block;
     position:fixed;
     left:0px;
     top:0px;
     width:100%;
     height: {{!!topbar-height}};
     background-color: {{!!topbar-background-color}};
     z-index: 1000;
}

/* TOP PADDING TIDDLER */
body.tc-body .tc-tiddler-frame {
     padding-top: {{!!tiddler-padding-top}};
}

/* COLOR ACTIVE STATE TOGGLE BUTTON */
body.tc-body .tgc-active-indicator {
     color: {{!!active-state-color}};
}
body.tc-body .tgc-active-indicator svg {
     fill: {{!!active-state-color}};
}

body.tc-body .tgc-active-indicator:hover svg {
     fill: <<colour "foreground">>;
}

/* SETTINGS TABLE */
/* WIDTH, FONT-SIZE SETTINGS TABLE */
input[type='text'].settings {
	width: 120px;
/*	font-size: 0.9em;*/
}

table.tablestyle {
     font-size: 0.9em;
     border-width: 0px;
     border-style: solid;
     padding: 2px;
     border-color: #DDD;
     border-collapse: collapse;
}
table.tablestyle th {
     background-color: #F0F0F0;
     border-color: #DDD;
     text-align: left;
     vertical-align: top;
     border-style: solid;
     border-width: 1px;
     padding: 5px;
}
table.tablestyle tr {
     background-color: #F0F0F0;
     padding: 0px;
}
table.tablestyle td {
     border-color: #DDD;
     border-style: solid;
     border-width: 1px;
     padding:2px;
}
/* BORDERLESS TABLES */
.borderless, .borderless table, .borderless td, .borderless tr, .borderless th, .borderless tbody {
     border:0 !important;
     margin:0 !important;
     padding:0 !important;
}
</pre>

{
    "tiddlers": {
        "$:/plugins/tongerner/tiddlersbar/button": {
            "text": "<$fieldmangler tiddler=\"$:/plugins/tongerner/tiddlersbar/styles\">\n<$list filter=\"[[$:/plugins/tongerner/tiddlersbar/styles]tag[$:/tags/Stylesheet]]\"><$button message=\"tm-remove-tag\" tooltip=\"Hide Tiddlersbar\" param=\"$:/tags/Stylesheet\" class=<<tv-config-toolbar-class>>>\n<span class=\"tgc-active-indicator\">\n{{$:/plugins/tongerner/tiddlersbar/image-tiddlersbar-off}}\n</span>\n<$list filter=\"[<tv-config-toolbar-text>prefix[yes]]\">\n<span class=\"tgc-active-indicator\">\n<$text text=\"tiddlersbar\"/>\n</span>\n</$list>\n</$button>\n</$list>\n<$list filter=\"[[$:/plugins/tongerner/tiddlersbar/styles]!tag[$:/tags/Stylesheet]]\">\n<$button message=\"tm-add-tag\" tooltip=\"Show tiddlersbar\" param=\"$:/tags/Stylesheet\" class=<<tv-config-toolbar-class>>>{{$:/plugins/tongerner/tiddlersbar/image-tiddlersbar-on}}\n<$list filter=\"[<tv-config-toolbar-text>prefix[yes]]\">\n<$text text=\"tiddlersbar\"/>\n</$list>\n</$button>\n</$list>\n</$fieldmangler>\n",
            "title": "$:/plugins/tongerner/tiddlersbar/button",
            "tags": "$:/tags/PageControls $:/tags/ViewToolbar",
            "modifier": "TonGerner",
            "modified": "20170325122226644",
            "description": "Toggle tiddlersbar on/off",
            "creator": "TonGerner",
            "created": "20170325114731405",
            "caption": "{{$:/plugins/tongerner/tiddlersbar/image-tiddlersbar-on}} breadcrumbs"
        },
        "$:/plugins/tongerner/tiddlersbar/combination": {
            "created": "20170325114751649",
            "text": "In case the Tiddlersbar 'menu' has to be combined with other 'top menus' like the ones in 'Toolbar' ^^''1''^^ or 'Top menu' ^^''1''^^, some adjustments to the Tiddlersbar and the 'receiving' TW are required:\n\n# The Tiddlersbar has to be shifted downwards, otherwise toolbars and/or top menu will be hidden:\n#* Adjust @@.BLUE Top 'Tiddlersbar'@@ (In ''~ControlPanel > Appearance > Plugin tweaks'', tab 'Tiddlersbar' or direct via [[Plugin tweaks|$:/plugins/tongerner/layout_adjustment/tweaks]]).\n# To prevent the Tiddlersbar menu hides the top part of the tiddlers and the Sidebar, story-river and Sidebar have to be shifted downwards as well.\n#* Adjust @@.BLUE Story top position@@ and @@.BLUE Sidebar top position\t@@ with the same amount (In ''~ControlPanel > Appearance > Plugin tweaks'', tab 'Theme tweaks' or direct via [[Plugin tweaks|$:/plugins/tongerner/layout_adjustment/tweaks]]).\n\n^^''1''^^ http://tongerner.tiddlyspot.com/",
            "title": "$:/plugins/tongerner/tiddlersbar/combination",
            "tags": "",
            "modified": "20170330091727242"
        },
        "$:/plugins/tongerner/tiddlersbar/icon": {
            "text": "<svg width=\"99.212598\" height=\"99.212598\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:svg=\"http://www.w3.org/2000/svg\">\n\n <metadata id=\"metadata7\">image/svg+xml</metadata>\n <g>\n  <title>Layer 1</title>\n  <path fill=\"#a0a0ff\" stroke=\"#a0a0ff\" stroke-width=\"1.2218\" stroke-miterlimit=\"4\" d=\"m48.98237,97.86909l-41.98313,-24.239l0,-48.47796l41.98313,-24.23897l41.98313,24.23897l0,48.47796l-41.98313,24.239z\" id=\"path4142\"/>\n  <rect fill=\"#000000\" stroke=\"#000000\" stroke-width=\"8.78819\" stroke-miterlimit=\"4\" stroke-opacity=\"0\" y=\"25.08274\" x=\"8.68744\" height=\"9.10985\" width=\"16.25652\" id=\"rect4807\"/>\n  <rect fill=\"#000000\" stroke=\"#000000\" stroke-width=\"8.78819\" stroke-miterlimit=\"4\" stroke-opacity=\"0\" id=\"rect4809\" width=\"16.25652\" height=\"9.10985\" x=\"54.08981\" y=\"25.08274\"/>\n  <rect fill=\"#000000\" stroke=\"#000000\" stroke-width=\"8.78819\" stroke-miterlimit=\"4\" stroke-opacity=\"0\" y=\"25.08274\" x=\"31.38863\" height=\"9.10985\" width=\"16.25652\" id=\"rect4820\"/>\n </g>\n</svg>",
            "type": "image/svg+xml",
            "title": "$:/plugins/tongerner/tiddlersbar/icon",
            "tags": "",
            "modified": "20170325171737556",
            "created": "20170325114817530"
        },
        "$:/plugins/tongerner/tiddlersbar/image-tiddlersbar-off": {
            "text": "<svg class=\"tgc-image-tiddlersbar-button tc-image-button\" viewBox=\"0 0 22 22\" width=\"22pt\" height=\"22pt\"><path d=\"m7.3572,12.30506c-0.13915,-0.39832 -0.23057,-0.82001 -0.23057,-1.26429c0,-2.13671 1.74588,-3.87591 3.889,-3.87591c0.44658,0 0.8689,0.09111 1.26856,0.2298l1.84701,-1.84079c-1.05983,-0.44185 -2.12289,-0.73293 -3.11557,-0.73293c-6.10492,0 -10.92187,6.21983 -10.92187,6.21983s1.75316,2.2504 4.47392,4.04523l2.78953,-2.78094zm9.7407,-5.14664l-2.47239,2.46407c0.17556,0.44024 0.27911,0.91757 0.27911,1.4191c0,2.1351 -1.74588,3.87591 -3.889,3.87591c-0.50321,0 -0.98135,-0.10321 -1.42389,-0.27818l-1.99749,1.99157c1.07358,0.38622 2.22078,0.63134 3.42138,0.63134c4.6689,0 10.92188,-6.22064 10.92188,-6.22064s-2.13664,-2.11816 -4.8396,-3.88316zm1.63747,-5.05392l-16.73636,16.68002l1.14477,1.14173l16.73555,-16.68083l-1.14396,-1.14092z\"/></svg>",
            "title": "$:/plugins/tongerner/tiddlersbar/image-tiddlersbar-off",
            "tags": "",
            "modifier": "TonGerner",
            "modified": "20170325122633833",
            "creator": "TonGerner",
            "created": "20170325114839090"
        },
        "$:/plugins/tongerner/tiddlersbar/image-tiddlersbar-on": {
            "text": "<svg class=\"tgc-image-tiddlersbar-button tc-image-button\" viewBox=\"0 0 22 22\" width=\"22pt\" height=\"22pt\">  <path  d=\"m10.98438,4.786c-6.10492,0 -10.92187,6.2141 -10.92187,6.2141s4.81695,6.2149 10.92187,6.2149c4.6689,0 10.92188,-6.2149 10.92188,-6.2149s-6.25298,-6.2141 -10.92188,-6.2141zm0,10.08643c-2.14311,0 -3.889,-1.73759 -3.889,-3.87233s1.74588,-3.87233 3.889,-3.87233s3.889,1.7384 3.889,3.87233s-1.74588,3.87233 -3.889,3.87233zm0,-6.13273c-1.25318,0 -2.27013,1.01178 -2.27013,2.2604c0,1.24862 1.01614,2.2604 2.27013,2.2604c1.25399,0 2.27013,-1.01179 2.27013,-2.2604c0,-1.24781 -1.01614,-2.2604 -2.27013,-2.2604z\"/></svg>",
            "title": "$:/plugins/tongerner/tiddlersbar/image-tiddlersbar-on",
            "tags": "",
            "modifier": "TonGerner",
            "modified": "20170325122651014",
            "creator": "TonGerner",
            "created": "20170325114911997"
        },
        "$:/plugins/tongerner/tiddlersbar/license": {
            "text": "!!! Licence of Buggy j's ~StoryTopTabs plugin\n\nThe MIT License (MIT)\n\nCopyright (c) 2015 Jeffrey Wikinson aka Buggyj\n\nPermission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the \"Software\"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:\n\nThe above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.\n\nTHE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.\n",
            "title": "$:/plugins/tongerner/tiddlersbar/license",
            "tags": "",
            "modified": "20170428155502780",
            "created": "20161213130359603"
        },
        "$:/plugins/tongerner/tiddlersbar/readme": {
            "created": "20170325115014248",
            "text": "This plugin - based on Buggyj's [[StoryTopTabs plugin|http://bjtools.tiddlyspot.com/#StoryTopTabs]] - creates a 'Tiddlersbar' of open tiddlers (as tabs) on top of the screen. It works best in Zoomin view.<br>\nThe Tiddlersbar can be toggled on/off with a button in the Page toolbar and/or the View toolbar.\n\n<<<\n''Note:''<br>''This plugin needs my $:/plugins/tongerner/layout-adjustment plugin for general layout settings (available at http://tongerner.tiddlyspot.com/).''\n<<<\n\nSettings for the layout can be found in ''~ControlPanel > Appearance > [[Plugin tweaks|$:/plugins/tongerner/layout-adjustment/tweaks]]''.\n",
            "title": "$:/plugins/tongerner/tiddlersbar/readme",
            "tags": "",
            "modifier": "TonGerner",
            "modified": "20170325144830343",
            "creator": "TonGerner"
        },
        "$:/plugins/tongerner/tiddlersbar/settings": {
            "created": "20170325115624509",
            "text": "!!Tiddlersbar settings\n<table class=\"tablestyle\">\n<<tableRow \"Left 'Tiddlersbar'\" \"$:/plugins/tongerner/tiddlersbar/styles\" \"left-tiddlersbar\">>\n<<tableRow \"Top 'Tiddlersbar'\" \"$:/plugins/tongerner/tiddlersbar/styles\" \"top-tiddlersbar\">>\n<<tableRow \"Font size 'Tiddlersbar'\" \"$:/plugins/tongerner/tiddlersbar/styles\" \"tiddlersbar-font-size\">>\n<<tableRow \"Background color 'Tiddler tabs'\" \"$:/plugins/tongerner/tiddlersbar/styles\" \"tiddlersbar-color\">>\n<<tableRow \"Text color 'Tiddler tabs'\" \"$:/plugins/tongerner/tiddlersbar/styles\" \"tiddlersbar-text-color\">>\n<<tableRow \"Background color 'Tiddler tab selected'\" \"$:/plugins/tongerner/tiddlersbar/styles\" \"tiddlersbar-selected-color\">>\n<<tableRow \"Text color 'Tiddler tab selected'\" \"$:/plugins/tongerner/tiddlersbar/styles\" \"tiddlersbar-selected-text-color\">>\n<<tableRow \"Rounded corners 'tiddler tabs'\" \"$:/plugins/tongerner/tiddlersbar/styles\" \"tiddlersbar-border-radius\">>\n</table>\n<$button message=\"tm-open-window\" param=\"$:/plugins/tongerner/tiddlersbar/settings-help\" tooltip=\"Help\" aria-label=\"Help\">Help</$button>",
            "title": "$:/plugins/tongerner/tiddlersbar/settings",
            "tags": "$:/tags/plugin-tweaks",
            "order": "7",
            "modifier": "TonGerner",
            "modified": "20170405110448458",
            "list-after": "$:/plugins/tongerner/layout-adjustment",
            "creator": "TonGerner",
            "caption": "Tiddlersbar"
        },
        "$:/plugins/tongerner/tiddlersbar/settings-help": {
            "text": "<<<\n''Note:''<br>You can enter CSS values in all allowed units, e.g. `%`, `px`, or `em`.\n<<<\n\n|Entry |Description |Default |h\n|Left 'Tiddlersbar'  |Start (from the left) of the Tiddlersbar| 42px |\n|Top 'Tiddlersbar' |Start (from the top) of the Tiddlersbar| 10px |\n|Font size 'Tiddlersbar' |Font size of Tiddlersbar | 0.9em |\n|Background color 'Tiddler tabs' |Background color of breadcrumbs |#D8D8D8 |\n|Text color 'Tiddler tabs' |Text color of tiddler tabs | #666666 |\n|Background color 'Tiddler tab selected' |Background color of selected tiddler tab| #FFFFFF |\n|Text color 'Tiddler tab selected' |Text color of selected tiddler tab | #666666 |\n|Rounded corners 'tiddler tabs' |Rounded corners of tiddlersbar | 1px |\n",
            "title": "$:/plugins/tongerner/tiddlersbar/settings-help",
            "tags": "",
            "modifier": "TonGerner",
            "modified": "20170325123756939",
            "creator": "TonGerner",
            "created": "20170325115648290"
        },
        "$:/plugins/tongerner/tiddlersbar/style-no-tiddlersbar": {
            "text": "/* DEFAULT: HIDDEN BREADCRUMBS */\n.tgc-tiddlersbar {\n     display: none;\n}",
            "type": "text/css",
            "title": "$:/plugins/tongerner/tiddlersbar/style-no-tiddlersbar",
            "tags": "$:/tags/Stylesheet",
            "modifier": "TonGerner",
            "modified": "20170325123152056",
            "creator": "TonGerner",
            "created": "20170325115709994"
        },
        "$:/plugins/tongerner/tiddlersbar/styles": {
            "created": "20170325123352694",
            "text": "<pre>/* BREADCRUMBS TOP MENU */\n.tgc-tiddlersbar {\n     display: block;\n     position: fixed;\n     left: 0;\n     top: {{!!top-tiddlersbar}};  /* vertical start of tiddlersbar 'menu' */\n     width: calc(100% - 60px); /* right margin for '>>' icon */\n     margin-left: {{!!left-tiddlersbar}};\n     z-index: 1100;\n}\n\n/* TIDDLERSBAR */\n.tgc-tiddlersbar button {\n     font-size: {{!!tiddlersbar-font-size}};\n     color: {{!!tiddlersbar-text-color}};\n     padding: 3px 5px 3px 5px;\n     border: none;\n     border-radius: {{!!tiddlersbar-border-radius}};\n     background-color: {{!!tiddlersbar-color}};\n     border-left: 1px solid #cccccc;\n     border-top: 1px solid #cccccc;\n     border-right: 1px solid #cccccc;\n}\n\n/* TIDDLERBAR SELECTED */\n.tgc-tiddlersbar button.tgc-tiddlersbar-selected {\n     color: {{!!tiddlersbar-selected-text-color}};\n     background-color: {{!!tiddlersbar-selected-color}};\n}\n/* HOVER over 'x' */\n.tgc-tiddlersbar button.tgc-x:hover {\n     font-weight: bold;\n}\n.tgc-tiddlersbar button.tgc-tiddlersbar-selected.tgc-x:hover {\n     font-weight: bold;\n}\n</pre>",
            "top-tiddlersbar": "10px",
            "title": "$:/plugins/tongerner/tiddlersbar/styles",
            "tiddlersbar-text-color": "#666666",
            "tiddlersbar-selected-text-color": "#666666",
            "tiddlersbar-selected-color": "#FFFFFF",
            "tiddlersbar-font-size": "0.9em",
            "tiddlersbar-color": "#D8D8D8",
            "tiddlersbar-border-radius": "1px",
            "tags": "$:/tags/Stylesheet",
            "modifier": "TonGerner",
            "modified": "20170328111019391",
            "list-after": "$:/themes/tiddlywiki/vanilla/base",
            "left-tiddlersbar": "42px",
            "creator": "TonGerner"
        },
        "$:/plugins/tongerner/tiddlersbar/tiddlersbar": {
            "text": "<div class=\"tgc-tiddlersbar\" >\n<$list filter=\"[list[$:/StoryList]]\" history=\"$:/HistoryList\" variable=\"currentTab\">\n<$reveal type=\"match\" state=\"$:/HistoryList!!current-tiddler\" text=<<currentTab>>>\n<div style=\"display:inline-block;\">\n<$button to=<<currentTab>> class=\"tgc-tiddlersbar-selected\" style=\"margin-right: -0.4em; border-right: 0.0em\">\n<$macrocall $name=\"currentTab\" $type=\"text/plain\" $output=\"text/plain\"/>\n</$button>\n<$button message=\"tm-close-tiddler\" param=<<currentTab>> class=\"tgc-tiddlersbar-selected tgc-x\" style=\"border-left: 0.0em;\">X</$button></div></$reveal>\n<$reveal type=\"nomatch\" state=\"$:/HistoryList!!current-tiddler\" text=<<currentTab>>>\n<div style=\"display:inline-block;\">\n<$button to=<<currentTab>>  style=\"margin-right: 0.0em;\" >\n<$macrocall $name=\"currentTab\" $type=\"text/plain\" $output=\"text/plain\"/>\n</$button><$button message=\"tm-close-tiddler\" param=<<currentTab>> class=\"tgc-x\">\nX</$button></div></$reveal>\n</$list>\n</div>\n",
            "title": "$:/plugins/tongerner/tiddlersbar/tiddlersbar",
            "tags": "$:/tags/PageTemplate",
            "modifier": "TonGerner",
            "modified": "20170403184720166",
            "creator": "TonGerner",
            "created": "20170325114702089"
        }
    }
}

<$fieldmangler tiddler="$:/plugins/tongerner/tiddlersbar/styles">
<$list filter="[[$:/plugins/tongerner/tiddlersbar/styles]tag[$:/tags/Stylesheet]]"><$button message="tm-remove-tag" tooltip="Hide Tiddlersbar" param="$:/tags/Stylesheet" class=<<tv-config-toolbar-class>>>
<span class="tgc-active-indicator">
{{$:/plugins/tongerner/tiddlersbar/image-tiddlersbar-off}}
</span>
<$list filter="[<tv-config-toolbar-text>prefix[yes]]">
<span class="tgc-active-indicator">
<$text text="tiddlersbar"/>
</span>
</$list>
</$button>
</$list>
<$list filter="[[$:/plugins/tongerner/tiddlersbar/styles]!tag[$:/tags/Stylesheet]]">
<$button message="tm-add-tag" tooltip="Show tiddlersbar" param="$:/tags/Stylesheet" class=<<tv-config-toolbar-class>>>{{$:/plugins/tongerner/tiddlersbar/image-tiddlersbar-on}}
<$list filter="[<tv-config-toolbar-text>prefix[yes]]">
<$text text="tiddlersbar"/>
</$list>
</$button>
</$list>
</$fieldmangler>

<pre>/* BREADCRUMBS TOP MENU */
.tgc-tiddlersbar {
     display: block;
     position: fixed;
     left: 0;
     top: {{!!top-tiddlersbar}};  /* vertical start of tiddlersbar 'menu' */
     width: calc(100% - 60px); /* right margin for '>>' icon */
     margin-left: {{!!left-tiddlersbar}};
     z-index: 1100;
}

/* TIDDLERSBAR */
.tgc-tiddlersbar button {
     font-size: {{!!tiddlersbar-font-size}};
     color: {{!!tiddlersbar-text-color}};
     padding: 3px 5px 3px 5px;
     border: none;
     border-radius: {{!!tiddlersbar-border-radius}};
     background-color: {{!!tiddlersbar-color}};
     border-left: 1px solid #cccccc;
     border-top: 1px solid #cccccc;
     border-right: 1px solid #cccccc;
}

/* TIDDLERBAR SELECTED */
.tgc-tiddlersbar button.tgc-tiddlersbar-selected {
     color: {{!!tiddlersbar-selected-text-color}};
     background-color: {{!!tiddlersbar-selected-color}};
}
/* HOVER over 'x' */
.tgc-tiddlersbar button.tgc-x:hover {
     font-weight: bold;
}
.tgc-tiddlersbar button.tgc-tiddlersbar-selected.tgc-x:hover {
     font-weight: bold;
}
</pre>

{
    "tiddlers": {
        "$:/plugins/tongerner/toolbar/advanced-search-button": {
            "text": "{{$:/core/ui/Buttons/advanced-search}}",
            "caption": "{{$:/core/images/advanced-search-button}} {{$:/language/Buttons/AdvancedSearch/Caption}}",
            "created": "20150727113655362",
            "creator": "TonGerner",
            "description": "{{$:/language/Buttons/AdvancedSearch/Hint}}",
            "modified": "20150810104108349",
            "modifier": "TonGerner",
            "tags": "$:/tags/TopLeftBar",
            "title": "$:/plugins/tongerner/toolbar/advanced-search-button"
        },
        "$:/plugins/tongerner/toolbar/close-all-button": {
            "text": "{{$:/core/ui/Buttons/close-all}}",
            "caption": "{{$:/core/images/close-all-button}} {{$:/language/Buttons/CloseAll/Caption}}",
            "created": "20150727113504402",
            "creator": "TonGerner",
            "description": "{{$:/language/Buttons/CloseAll/Hint}}",
            "modified": "20150810104107679",
            "modifier": "TonGerner",
            "tags": "$:/tags/TopLeftBar",
            "title": "$:/plugins/tongerner/toolbar/close-all-button"
        },
        "$:/plugins/tongerner/toolbar/controlpanel-button": {
            "text": "{{$:/core/ui/Buttons/control-panel}}",
            "caption": "{{$:/core/images/options-button}} {{$:/language/Buttons/ControlPanel/Caption}}",
            "created": "20150727111608178",
            "creator": "TonGerner",
            "description": "{{$:/language/Buttons/ControlPanel/Hint}}",
            "modified": "20150810104106429",
            "modifier": "TonGerner",
            "tags": "$:/tags/TopLeftBar",
            "title": "$:/plugins/tongerner/toolbar/controlpanel-button"
        },
        "$:/plugins/tongerner/toolbar/export-page-button": {
            "text": "{{$:/core/ui/Buttons/export-page}}",
            "caption": "{{$:/core/images/export-button}} {{$:/language/Buttons/ExportPage/Caption}}",
            "created": "20150727114546367",
            "creator": "TonGerner",
            "description": "{{$:/language/Buttons/ExportPage/Hint}}",
            "modified": "20150810104110811",
            "modifier": "TonGerner",
            "tags": "$:/tags/TopLeftBar",
            "title": "$:/plugins/tongerner/toolbar/export-page-button"
        },
        "$:/plugins/tongerner/toolbar/full-screen-button": {
            "text": "{{$:/core/ui/Buttons/full-screen}}",
            "caption": "{{$:/core/images/full-screen-button}} {{$:/language/Buttons/FullScreen/Caption}}",
            "created": "20150727085351568",
            "creator": "TonGerner",
            "description": "{{$:/language/Buttons/FullScreen/Hint}}",
            "modified": "20150810104104623",
            "modifier": "TonGerner",
            "tags": "$:/tags/TopLeftBar",
            "title": "$:/plugins/tongerner/toolbar/full-screen-button"
        },
        "$:/plugins/tongerner/toolbar/home-button": {
            "text": "{{$:/core/ui/Buttons/home}}",
            "caption": "{{$:/core/images/home-button}} {{$:/language/Buttons/Home/Caption}}",
            "created": "20150727085124647",
            "creator": "TonGerner",
            "description": "{{$:/language/Buttons/Home/Hint}}",
            "modified": "20150810104104023",
            "modifier": "TonGerner",
            "tags": "$:/tags/TopLeftBar",
            "title": "$:/plugins/tongerner/toolbar/home-button"
        },
        "$:/plugins/tongerner/toolbar/icon": {
            "text": "<?xml version=\"1.0\" encoding=\"UTF-8\" standalone=\"no\"?>\n<svg\n   xmlns:dc=\"http://purl.org/dc/elements/1.1/\"\n   xmlns:cc=\"http://creativecommons.org/ns#\"\n   xmlns:rdf=\"http://www.w3.org/1999/02/22-rdf-syntax-ns#\"\n   xmlns:svg=\"http://www.w3.org/2000/svg\"\n   xmlns=\"http://www.w3.org/2000/svg\"\n   version=\"1.1\"\n   id=\"svg2\"\n   viewBox=\"0 0 99.212598 99.212598\"\n   height=\"28mm\"\n   width=\"28mm\">\n  <defs\n     id=\"defs4\" />\n  <metadata\n     id=\"metadata7\">\n    <rdf:RDF>\n      <cc:Work\n         rdf:about=\"\">\n        <dc:format>image/svg+xml</dc:format>\n        <dc:type\n           rdf:resource=\"http://purl.org/dc/dcmitype/StillImage\" />\n        <dc:title></dc:title>\n      </cc:Work>\n    </rdf:RDF>\n  </metadata>\n  <g\n     transform=\"translate(0,-953.14961)\"\n     id=\"layer1\">\n    <path\n       d=\"m 48.98237,1051.0187 -41.9831281,-24.239 -1.3e-6,-48.47796 41.9831264,-24.23897 41.983128,24.23897 10e-7,48.47796 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-3.640193,1.391367 -5.034445,0 l 0,0 -35.241077,35.241082 c -4.170672,4.17067 -10.932684,4.17067 -15.103349,10e-6 -4.170664,-4.17066 -4.170657,-10.93266 2.1e-5,-15.10334 z M 147.25664,6.6217501 l 5.03444,5.0344379 -7.48954,12.523985 -7.61379,2.579342 -52.861635,52.861634 -5.034437,-5.034438 52.861632,-52.861634 2.57933,-7.6138 12.524,-7.4895269 z\" />\n      </g>\n    </g>\n    <rect\n       ry=\"3.6519036\"\n       y=\"979.39362\"\n       x=\"8.8170929\"\n       height=\"22.722958\"\n       width=\"80.40152\"\n       id=\"rect5021\"\n       style=\"fill:none;fill-opacity:1;stroke:#000000;stroke-width:2.9198997;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1\" />\n  </g>\n</svg>\n",
            "created": "20160109201523824",
            "creator": "TonGerner",
            "modified": "20160109201529083",
            "modifier": "TonGerner",
            "title": "$:/plugins/tongerner/toolbar/icon",
            "type": "image/svg+xml"
        },
        "$:/plugins/tongerner/toolbar/images/sidebar-button": {
            "text": "<svg class=\"tgc-sidebar-button tc-image-button\" viewBox=\"0 0 32 32\" width=\"22pt\" height=\"22pt\"><path    d=\"M16,1.466C7.973,1.466,1.466,7.973,1.466,16c0,8.027,6.507,14.534,14.534,14.534c8.027,0,14.534-6.507,14.534-14.534C30.534,7.973,24.027,1.466,16,1.466zM24.386,14.968c-1.451,1.669-3.706,2.221-5.685,1.586l-7.188,8.266c-0.766,0.88-2.099,0.97-2.979,0.205s-0.973-2.099-0.208-2.979l7.198-8.275c-0.893-1.865-0.657-4.164,0.787-5.824c1.367-1.575,3.453-2.151,5.348-1.674l-2.754,3.212l0.901,2.621l2.722,0.529l2.761-3.22C26.037,11.229,25.762,13.387,24.386,14.968z\" id=\"path3032\" /></svg>\n",
            "created": "20131123133128497",
            "creator": "TonGerner",
            "modified": "20160407181147339",
            "modifier": "TonGerner",
            "title": "$:/plugins/tongerner/toolbar/images/sidebar-button"
        },
        "$:/plugins/tongerner/toolbar/list-all-button": {
            "text": "<$button tooltip=\"List all tiddlers\" popup=\"$:/state/popup/all\" class=<<tv-config-toolbar-class>>>\n<$list filter=\"[<tv-config-toolbar-icons>prefix[yes]]\">\n{{$:/plugins/tongerner/toolbar/images/list-all-button}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>prefix[yes]]\">\n<span class=\"tc-btn-text\"><$text text=\"list all\"/></span>\n</$list>\n</$button>\n<$reveal type=\"popup\" state=\"$:/state/popup/all\">\n<div class=\"tc-drop-down tgc-font-size-menus\">\n\n:''All tiddlers''\n<$scrollable class='tgc-scrollable-list'>\n{{$:/core/ui/MoreSideBar/All}}\n</$scrollable>\n</div>\n</$reveal>",
            "title": "$:/plugins/tongerner/toolbar/list-all-button",
            "tags": "$:/tags/TopLeftBar",
            "modifier": "TonGerner",
            "modified": "20170505144937596",
            "description": "List all tiddlers",
            "creator": "TonGerner",
            "created": "20150728202153771",
            "caption": "{{$:/plugins/tongerner/toolbar/images/list-all-button}} list all"
        },
        "$:/plugins/tongerner/toolbar/list-recent-button": {
            "text": "<$button tooltip=\"List recent tiddlers\" popup=\"$:/state/popup/recent\" class=<<tv-config-toolbar-class>>>\n<$list filter=\"[<tv-config-toolbar-icons>prefix[yes]]\">\n{{$:/plugins/tongerner/toolbar/images/list-recent-button}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>prefix[yes]]\">\n<span class=\"tc-btn-text\"><$text text=\"list recent\"/></span>\n</$list>\n</$button>\n<$reveal type=\"popup\" state=\"$:/state/popup/recent\">\n<div class=\"tc-drop-down tgc-font-size-menus\">\n\n:''Recent tiddlers''\n<$scrollable class='tgc-scrollable-list'>\n{{$:/core/ui/MoreSideBar/Recent}}\n</$scrollable>\n</div>\n</$reveal>",
            "title": "$:/plugins/tongerner/toolbar/list-recent-button",
            "tags": "$:/tags/TopLeftBar",
            "modifier": "TonGerner",
            "modified": "20170505150557203",
            "description": "List recent tiddlers",
            "creator": "TonGerner",
            "created": "20150728201622065",
            "caption": "{{$:/plugins/tongerner/toolbar/images/list-recent-button}} list recent"
        },
        "$:/plugins/tongerner/toolbar/list-standard-tags": {
            "text": "<$set name=\"tv-config-toolbar-icons\" value=\"yes\">\n\n<$set name=\"tv-config-toolbar-text\" value=\"yes\">\n\n<$set name=\"tv-config-toolbar-class\" value=\"\">\n\n{{$:/core/ui/Buttons/tag-manager}}\n\n</$set>\n\n</$set>\n\n</$set>\n\n<style type=\"text/css\">\n     .cloud span { white-space:nowrap; margin-right:6px; }\n     .cloud .tc-tag-list-item { margin-right:0; margin-top:4px; }\n</style>\n<div class=\"cloud\">\n     <$list filter=\"[tags[]!is[system]sort[title]]\">\n           <span>\n           <$transclude tiddler=\"$:/core/ui/TagTemplate\"/>\n           <small><$count filter=\"[all[current]tagging[]]\"/></small>\n           </span>\n      </$list>\n</div>\n\n<hr>\n\n{{$:/core/ui/UntaggedTemplate}}\n\n",
            "caption": "Standard tags",
            "created": "20140430135036880",
            "creator": "TonGerner",
            "modified": "20160731144648254",
            "modifier": "TonGerner",
            "title": "$:/plugins/tongerner/toolbar/list-standard-tags"
        },
        "$:/plugins/tongerner/toolbar/list-systemtags": {
            "created": "20140806181818854",
            "creator": "TonGerner",
            "text": "\\define lingo-base() $:/language/SideBar/Tags/\n\n<$list filter=\"[all[shadows+tiddlers]tags[]is[system]sort[title]]\"><br>\n<$transclude tiddler=\"$:/core/ui/TagTemplate\"/> <small class=\"tc-menu-list-count\"><$count filter=\"[all[current]tagging[]]\"/></small>\n\n</$list>",
            "caption": "System tags",
            "list-after": "$:/core/ui/MoreSideBar/Tags",
            "modified": "20160731150554287",
            "modifier": "TonGerner",
            "title": "$:/plugins/tongerner/toolbar/list-systemtags"
        },
        "$:/plugins/tongerner/toolbar/new-journal-button": {
            "text": "{{$:/core/ui/Buttons/new-journal}}",
            "caption": "{{$:/core/images/new-journal-button}} {{$:/language/Buttons/NewJournal/Caption}}",
            "created": "20150727085921741",
            "creator": "TonGerner",
            "description": "{{$:/language/Buttons/NewJournal/Hint}}",
            "modified": "20150810104105827",
            "modifier": "TonGerner",
            "tags": "$:/tags/TopLeftBar",
            "title": "$:/plugins/tongerner/toolbar/new-journal-button"
        },
        "$:/plugins/tongerner/toolbar/new-template": {
            "created": "20131214180957987",
            "creator": "TonGerner",
            "text": "This is a - demo - template [[$:/plugins/tongerner/toolbar/new-template]] tagged with `task` and `field` color = #04B.\n\nMake your own template  - with content, tag(s), and field(s) to your liking:\n\n* by modifying [[$:/plugins/tongerner/toolbar/new-template]]\n\n:''or''\n\n* by making your own template (e.g. [[MyTemplate]]) and modifying [[$:/plugins/tongerner/toolbar/new-template-tiddler-button]]: replace 'param=\"$:/plugins/tongerner/toolbar/new-template\"' by 'param=\"MyTemplate\"'.",
            "color": "#0044bb",
            "modified": "20150728185653667",
            "modifier": "TonGerner",
            "tags": "task",
            "title": "$:/plugins/tongerner/toolbar/new-template"
        },
        "$:/plugins/tongerner/toolbar/new-template-tiddler-button": {
            "text": "<$button message=\"tm-new-tiddler\" tooltip=\"New template tiddler\" class=<<tv-config-toolbar-class>> param=\"$:/plugins/tongerner/toolbar/new-template\">\n<$list filter=\"[<tv-config-toolbar-icons>prefix[yes]]\">\n{{$:/plugins/tongerner/toolbar/images/new-template-tiddler-button}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>prefix[yes]]\">\n<$text text=\"new template tiddler\"/>\n</$list>\n</$button>",
            "caption": "{{$:/plugins/tongerner/toolbar/images/new-template-tiddler-button}} new template tiddler",
            "created": "20131214181113770",
            "creator": "TonGerner",
            "description": "Create a new tiddler based on a template",
            "modified": "20150810104103429",
            "modifier": "TonGerner",
            "tags": "$:/tags/TopLeftBar",
            "title": "$:/plugins/tongerner/toolbar/new-template-tiddler-button"
        },
        "$:/plugins/tongerner/toolbar/new-tiddler-button": {
            "text": "{{$:/core/ui/Buttons/new-tiddler}}",
            "caption": "{{$:/core/images/new-button}} {{$:/language/Buttons/NewTiddler/Caption}}",
            "created": "20150727085549203",
            "creator": "TonGerner",
            "description": "{{$:/language/Buttons/NewTiddler/Hint}}",
            "modified": "20150810104105217",
            "modifier": "TonGerner",
            "tags": "$:/tags/TopLeftBar",
            "title": "$:/plugins/tongerner/toolbar/new-tiddler-button"
        },
        "$:/plugins/tongerner/toolbar/palette-button": {
            "text": "{{$:/core/ui/Buttons/palette}}",
            "caption": "{{$:/core/images/palette}} {{$:/language/Buttons/Palette/Caption}}",
            "created": "20150727114333302",
            "creator": "TonGerner",
            "description": "{{$:/language/Buttons/Palette/Hint}}",
            "modified": "20150810104110209",
            "modifier": "TonGerner",
            "tags": "$:/tags/TopLeftBar",
            "title": "$:/plugins/tongerner/toolbar/palette-button"
        },
        "$:/plugins/tongerner/toolbar/readme": {
            "text": "This plugin creates a toolbar on top of the screen.<br>\nWith buttons to replicate the functions normally only available in the sidebar and buttons for a few new functions: tagging in view mode, rename tags, delete a corrupt tiddler, list (open/all/recent/tags/untagged), new template tiddler, ...\n\n<<<\n''Note:''<br>''This plugin needs my $:/plugins/tongerner/layout_adjustment plugin for general layout settings (available at http://tongerner.tiddlyspot.com/).''\n<<<\n\nSettings for the layout can be found in ~ControlPanel > Appearance > [[Plugin tweaks|$:/plugins/tongerner/layout_adjustment/tweaks]].\n\nThe buttons in the toolbar can be switched on/off in ''~ControlPanel > Appearance > Toolbars > [[Top toolbar|$:/plugins/tongerner/toolbar/toolbar-display]]''. Drag and drop to change the ordering.\n\n<<<\n''Note:''\n\n* This plugin incorporates a slightly modified version of [[Danielo's TagsSearch plugin|http://braintest.tiddlyspot.com/#TagsSearch-Plugin]]\n* For toggling of sticky behaviour, see ~ControlPanel > Appearance > [[Plugin tweaks|$:/plugins/tongerner/layout_adjustment/tweaks]] (tab Layout)\n* In case you want the possibility to enable/disable the toolbar, drag & drop $:/_toggle-toolbar-plugin-button (available at http://tongerner.tiddlyspot.com/ & http://tw5toolbar.tiddlyspot.com/) to your TW5<br>It creates a button ({{$:/plugins/tongerner/toolbar/images/enable-toolbar}} / {{$:/plugins/tongerner/toolbar/images/disable-toolbar}}) in the right topbar which enables/disables the toolbar plugin\n<<<\n",
            "title": "$:/plugins/tongerner/toolbar/readme",
            "modifier": "TonGerner",
            "modified": "20170505111806664",
            "creator": "TonGerner",
            "created": "20150724160944794"
        },
        "$:/plugins/tongerner/toolbar/save-wiki-button": {
            "text": "{{$:/core/ui/Buttons/save-wiki}}",
            "caption": "{{$:/core/images/save-button}} {{$:/language/Buttons/SaveWiki/Caption}}",
            "created": "20150727113226924",
            "creator": "TonGerner",
            "description": "{{$:/language/Buttons/SaveWiki/Hint}}",
            "modified": "20150810104107031",
            "modifier": "TonGerner",
            "tags": "$:/tags/TopLeftBar",
            "title": "$:/plugins/tongerner/toolbar/save-wiki-button"
        },
        "$:/plugins/tongerner/toolbar/settings": {
            "created": "20140616162341822",
            "text": "!!Toolbar settings\n<table class=\"tablestyle\">\n@@.brown ''Toolbar''@@\n<<tableRow \"Size 'Toolbar' buttons\" \"$:/plugins/tongerner/toolbar/styles\" \"button-size\">>\n<<tableRow \"Color 'Toolbar' buttons\" \"$:/plugins/tongerner/toolbar/styles\" \"button-color\">>\n<<tableRow \"Hover color 'Toolbar' buttons\" \"$:/plugins/tongerner/toolbar/styles\" \"button-hover-color\">>\n<<tableRow \"Start 'Toolbar'\" \"$:/plugins/tongerner/toolbar/styles\" \"toolbar-left\">>\n<<tableRow \"Top 'Toolbar'\" \"$:/plugins/tongerner/toolbar/styles\" \"toolbar-top\">>\n<<tableRow \"Button spacing 'Toolbar'\" \"$:/plugins/tongerner/toolbar/styles\" \"toolbar-button-spacing\">>\n@@.brown ''Menus''@@\n<<tableRow \"Scroll height menus\" \"$:/plugins/tongerner/toolbar/styles\" \"menus-scroll-height\">>\n<<tableRow \"Font size menus\" \"$:/plugins/tongerner/toolbar/styles\" \"menus-font-size\">>\n</table>\n<$button message=\"tm-open-window\" param=\"$:/plugins/tongerner/toolbar/settings-help\" tooltip=\"Help\" aria-label=\"Help\">Help</$button>",
            "title": "$:/plugins/tongerner/toolbar/settings",
            "tags": "$:/tags/plugin-tweaks",
            "order": "6",
            "modifier": "TonGerner",
            "modified": "20170405104325167",
            "creator": "TonGerner",
            "caption": "Toolbar"
        },
        "$:/plugins/tongerner/toolbar/settings-help": {
            "created": "20140616162513097",
            "text": "<<<\n''Note:''<br>You can enter values in allowed CSS units, e.g. `%`, `px`, `em`...\n<<<\n\n|Item|Entry |Description |Default |h\n|Toolbar |Size 'Toolbar' buttons|Size of toolbar buttons| 1.4em |\n|~|Color 'Toolbar' buttons|Color of toolbar buttons|#AAAAAA&nbsp;^^1^^|\n|~|Hover color 'Toolbar' buttons|Hover color of toolbar buttons|#131313 ^^1^^|\n|~|Start 'Top toolbar' |Start of the top toolbar<br>(from the left)| 40px |\n|~|Top 'Toolbar'|Offset from top| 0px |\n|~|Button spacing 'Top toolbar' |Distance between buttons of Topbar toolbar| 5px |\n|Menus |Scroll height menus |Scroll height of menus in toolbar | 200px |\n|~|Font size menus |Font size for menu entries | 0.8em |\n\n|borderless|k\n|^^^''1''^^ |&nbsp;&nbsp;|Usable for Vanilla and/or Snow White theme; overwritten by Emphasized theme/Bluish color palette!|",
            "title": "$:/plugins/tongerner/toolbar/settings-help",
            "modifier": "TonGerner",
            "modified": "20170505171729069",
            "creator": "TonGerner"
        },
        "$:/plugins/tongerner/toolbar/sidebar-button": {
            "text": "<$button to=\"$:/core/ui/SideBarLists\" tooltip=\"Open the Sidebar tabs\" class=<<tv-config-toolbar-class>>>\n<$list filter=\"[<tv-config-toolbar-icons>prefix[yes]]\">\n{{$:/plugins/tongerner/toolbar/images/sidebar-button}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>prefix[yes]]\">\n<$text text=\"sidebar\"/>\n</$list>\n</$button>",
            "caption": "{{$:/plugins/tongerner/toolbar/images/sidebar-button}} sidebar",
            "created": "20131123133349221",
            "creator": "TonGerner",
            "description": "Shows the Sidebar",
            "modified": "20150810104102615",
            "modifier": "TonGerner",
            "tags": "$:/tags/TopLeftBar",
            "title": "$:/plugins/tongerner/toolbar/sidebar-button"
        },
        "$:/plugins/tongerner/toolbar/storyview-button": {
            "text": "{{$:/core/ui/Buttons/storyview}}",
            "caption": "{{$:/core/images/storyview-classic}} {{$:/language/Buttons/StoryView/Caption}}",
            "created": "20150727113916016",
            "creator": "TonGerner",
            "description": "{{$:/language/Buttons/StoryView/Hint}}",
            "modified": "20150810104108975",
            "modifier": "TonGerner",
            "tags": "$:/tags/TopLeftBar",
            "title": "$:/plugins/tongerner/toolbar/storyview-button"
        },
        "$:/plugins/tongerner/toolbar/styles": {
            "text": "<pre>/* TOOLBAR */\n.tc-topbar-left {\n     font-size: {{!!button-size}};\n}\n\n.tc-topbar button svg {\n     fill: {{!!button-color}};\n}\n\n.tc-topbar button:hover svg {\n     fill:{{!!button-hover-color}};\n}\n\n/* space between toolbar buttons */\n.tc-topbar button {\n     padding: 8px {{!!toolbar-button-spacing}};\n}\n\n/* TOP BAR LEFT */\n.tc-topbar-left {\n     left: {{!!toolbar-left}};\n     top: {{!!toolbar-top}};\n}\n\n/* TIDDLER */\n/* TOP PADDING TIDDLER */\nhtml .tc-tiddler-frame {\n     padding-top: {{!!tiddler-padding-top}};\n}\n\n/* SIZE OF TIDDLER CONTROL BUTTONS */\nhtml .tc-tiddler-controls button svg {\n     height: {{!!tiddler-button-size}};\n}\n\n/* SPACE BETWEEN TIDDLER CONTROL BUTTONS */\nhtml .tc-tiddler-controls button {\n     margin-left: {{!!tiddler-button-spacing}};\n}\n\n/* SCROLL HEIGHT MENUS IN TOOLBAR */\n.tgc-scrollable-list {\n     padding: 0em;\n     height: {{!!menus-scroll-height}};\n     position: relative;\n}\n\n/* FONT SIZE MENUS */\n.tgc-font-size-menus {\n     font-size: {{!!menus-font-size}};\n}\n\n/* DUMMY BUTTON STYLE */\n.dummybutton {\n    padding: 1px 8px 1px 8px;\n    background-color: #DCDAD5;\n    border-width: 2px;\n    border-style: solid;\n    border-color: white gray gray white;\n}\n\n/* STYLES BELOW USED IN: */\n/* $:/plugins/tongerner/toolbar/expandable-tiddler-template */\n/* $:/plugins/tongerner/toolbar/tag-search-menu */\n\n/* THREE COLUMN MODE */\n.tgc-3columns { \n   display:block; \n   -moz-column-count:3; \n   -moz-column-gap:1em; \n   -webkit-column-count: 3;\n   -webkit-column-gap:1em; \n}\n\n/* CUT LONG STRINGS */\n.tgc-trim-string {\n    white-space: nowrap; \n    overflow: hidden; \n    text-overflow: ellipsis;\n}\n\n.tgc-trim-string:hover {\n    white-space: normal;\n    overflow: inherit; \n}\n\n.tgc-message-box {\n    border: 1px solid <<color message-border>>;\n    background: <<color code-background>>;\n    padding: 10px 21px 10px 21px;\n    margin: -10px -21px -10px -21px;\n}\n\n.tgc-font-bold {\n     font-weight: bold;\n}\n\n.tgc-underlined {\n     text-decoration: underline;\n}\n\n/* Font-size More menu */\n.tgc-more {\n     font-size: 0.7em;\n}\n</pre>",
            "toolbar-top": "0px",
            "toolbar-left": "40px",
            "toolbar-button-spacing": "5px",
            "title": "$:/plugins/tongerner/toolbar/styles",
            "tags": "$:/tags/Stylesheet",
            "modifier": "TonGerner",
            "modified": "20170505171441974",
            "menus-scroll-height": "200px",
            "menus-font-size": "0.8em",
            "list-after": "$:/themes/tiddlywiki/vanilla/base",
            "creator": "TonGerner",
            "created": "20150721080358195",
            "button-size": "1.4em",
            "button-hover-color": "#131313",
            "button-color": "#AAAAAA"
        },
        "$:/plugins/tongerner/toolbar/theme-button": {
            "text": "{{$:/core/ui/Buttons/theme}}",
            "caption": "{{$:/core/images/theme-button}} {{$:/language/Buttons/Theme/Caption}}",
            "created": "20150727114037029",
            "creator": "TonGerner",
            "description": "{{$:/language/Buttons/Theme/Hint}}",
            "modified": "20150810104109569",
            "modifier": "TonGerner",
            "tags": "$:/tags/TopLeftBar",
            "title": "$:/plugins/tongerner/toolbar/theme-button"
        },
        "$:/plugins/tongerner/toolbar/refresh-button": {
            "text": "{{$:/core/ui/Buttons/refresh}}",
            "caption": "{{$:/core/images/refresh-button}} {{$:/language/Buttons/Refresh/Caption}}",
            "created": "20150728084910677",
            "creator": "TonGerner",
            "description": "{{$:/language/Buttons/Refresh/Hint}}",
            "modified": "20150810104111475",
            "modifier": "TonGerner",
            "tags": "$:/tags/TopLeftBar",
            "title": "$:/plugins/tongerner/toolbar/refresh-button"
        },
        "$:/plugins/tongerner/toolbar/toolbar-display": {
            "created": "20150727082309628",
            "text": "\\define lingo-base() $:/language/TiddlerInfo/\n\n\\define config-base() $:/config/TopLeftBarButtons/Visibility/\n\n{{$:/language/ControlPanel/Toolbars/TopLeftBar/Hint}}\n\n<$set name=\"tv-config-toolbar-icons\" value=\"yes\">\n\n<$set name=\"tv-config-toolbar-text\" value=\"yes\">\n\n<$macrocall $name=\"list-tagged-draggable\" tag=\"$:/tags/TopLeftBar\" itemTemplate=\"$:/core/ui/ControlPanel/Toolbars/ItemTemplate\"/>\n\n</$set>\n\n</$set>\n",
            "caption": "Top toolbar",
            "creator": "TonGerner",
            "modified": "20170504081616095",
            "modifier": "TonGerner",
            "tags": "$:/tags/ControlPanel/Toolbars",
            "title": "$:/plugins/tongerner/toolbar/toolbar-display"
        },
        "$:/plugins/tongerner/toolbar/list-open-tiddlers-button": {
            "text": "<$button tooltip=\"List open tiddlers\" popup=\"$:/state/popup/open\" class=<<tv-config-toolbar-class>>>\n<$list filter=\"[<tv-config-toolbar-icons>prefix[yes]]\">\n{{$:/plugins/tongerner/toolbar/images/list-open-button}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>prefix[yes]]\">\n<span class=\"tc-btn-text\"><$text text=\"list open\"/></span>\n</$list>\n</$button>\n<$reveal type=\"popup\" state=\"$:/state/popup/open\">\n<div class=\"tc-drop-down tgc-font-size-menus\">\n\n:''Open tiddlers''\n<$scrollable class='tgc-scrollable-list'>\n<$list filter=\"[list[$:/StoryList]]+[sort[]]\"/>\n</$scrollable>\n</div>\n</$reveal>",
            "title": "$:/plugins/tongerner/toolbar/list-open-tiddlers-button",
            "tags": "$:/tags/TopLeftBar",
            "modifier": "TonGerner",
            "modified": "20170505150514843",
            "description": "List open tiddlers",
            "creator": "TonGerner",
            "created": "20150728143158416",
            "caption": "{{$:/plugins/tongerner/toolbar/images/list-open-button}} list open"
        },
        "$:/plugins/tongerner/toolbar/list-untagged-tiddlers-button": {
            "text": "<$button tooltip=\"List untagged tiddlers\" popup=\"$:/state/popup/untagged\" class=<<tv-config-toolbar-class>>>\n<$list filter=\"[<tv-config-toolbar-icons>prefix[yes]]\">\n{{$:/plugins/tongerner/toolbar/images/list-untagged-button}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>prefix[yes]]\">\n<span class=\"tc-btn-text\"><$text text=\"list untagged\"/></span>\n</$list>\n</$button>\n<$reveal type=\"popup\" state=\"$:/state/popup/untagged\">\n<div class=\"tc-drop-down tgc-font-size-menus\">\n\n:''Untagged tiddlers''\n<$scrollable class='tgc-scrollable-list'>\n<$list filter=\"[untagged[]!is[system]] -[tags[]] +[sort[title]]\"/>\n</$scrollable>\n</div>\n</$reveal>",
            "title": "$:/plugins/tongerner/toolbar/list-untagged-tiddlers-button",
            "tags": "$:/tags/TopLeftBar",
            "modifier": "TonGerner",
            "modified": "20170505150633734",
            "description": "List untagged tiddlers",
            "creator": "TonGerner",
            "created": "20150728165824527",
            "caption": "{{$:/plugins/tongerner/toolbar/images/list-untagged-button}} list untagged"
        },
        "$:/plugins/tongerner/toolbar/toggle-tagging-button": {
            "text": "<$fieldmangler tiddler=\"$:/plugins/tongerner/toolbar/tagging\">\n<$list filter=\"[[$:/plugins/tongerner/toolbar/tagging]tag[$:/tags/ViewTemplate]]\">\n<$button message=\"tm-remove-tag\" tooltip=\"Hide tagging in view mode\" param=\"$:/tags/ViewTemplate\" class=<<tv-config-toolbar-class>>>\n<$list filter=\"[<tv-config-toolbar-icons>prefix[yes]]\">\n<span class=\"tgc-active-indicator\">\n{{$:/plugins/tongerner/toolbar/images/tagging-button}}\n</span>\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>prefix[yes]]\">\n<$text text=\"tagging\"/>\n</$list>\n</$button>\n</$list>\n\n<$list filter=\"[[$:/plugins/tongerner/toolbar/tagging]!tag[$:/tags/ViewTemplate]]\">\n<$button message=\"tm-add-tag\" tooltip=\"Tagging in view mode\" param=\"$:/tags/ViewTemplate\" class=<<tv-config-toolbar-class>>>\n<$list filter=\"[<tv-config-toolbar-icons>prefix[yes]]\">\n{{$:/plugins/tongerner/toolbar/images/tagging-button}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>prefix[yes]]\">\n<$text text=\"tagging\"/>\n</$list>\n</$button>\n</$list>\n</$fieldmangler>\n",
            "title": "$:/plugins/tongerner/toolbar/toggle-tagging-button",
            "tags": "$:/tags/PageControls $:/tags/ViewToolbar $:/tags/TopLeftBar",
            "modifier": "TonGerner",
            "modified": "20170314183336448",
            "description": "Toggle tagging in view mode",
            "creator": "TonGerner",
            "created": "20160111131840237",
            "caption": "{{$:/plugins/tongerner/toolbar/images/tagging-button}} tagging"
        },
        "$:/plugins/tongerner/toolbar/rename-tags": {
            "text": "Thanks to [[Alberto Molina|https://groups.google.com/forum/#!topic/tiddlywiki/OCntQ79DuwM]].\n\n''Search tag:''\n<div class=\"tc-search\">\n<$edit-text tiddler=\"$:/temp/renametags/search\" tag=\"input\" default=\"\" placeholder=\"Enter tag to be replaced\" size=20/>\n<$reveal state=\"$:/temp/renametags/search\" type=\"nomatch\" text=\"\">\n<$button class=\"tc-btn-invisible\">\n<$action-setfield $tiddler=\"$:/temp/renametags/search\" text=\"\" />\n{{$:/core/images/close-button}}\n</$button>\n</$reveal>\n</div>\n\n''Replace by:''\n<div class=\"tc-search\">\n<$edit-text tiddler=\"$:/temp/renametags/replace\" tag=\"input\" default=\"\" placeholder=\"Enter tag to replace\" size=20/>\n<$reveal state=\"$:/temp/renametags/replace\" type=\"nomatch\" text=\"\">\n<$button class=\"tc-btn-invisible\">\n<$action-setfield $tiddler=\"$:/temp/renametags/replace\" text=\"\" />\n{{$:/core/images/close-button}}\n</$button>\n</$reveal>\n</div>\n\n''First step''<br>\nApply the tag ''//{{$:/temp/renametags/replace}}//'' to the following tiddlers:\n<$list filter=\"[all[shadows+tiddlers]!has[draft.of]tag{$:/temp/renametags/search}!tag{$:/temp/renametags/replace}sort[created]]\">\n\n<$checkbox tag={{$:/temp/renametags/replace}}>\n<$link to={{!!title}}>\n<$view field=\"title\"/>\n</$link>\n</$checkbox>\n</$list>\n\n''Second step''<br>\nRemove the tag ''//{{$:/temp/renametags/search}}//'' from the following tiddlers:\n<$list filter=\"[all[shadows+tiddlers]!has[draft.of]tag{$:/temp/renametags/search}tag{$:/temp/renametags/replace}sort[created]]\">\n\n<$checkbox tag={{$:/temp/renametags/search}}>\n~~<$link to={{!!title}}>\n<$view field=\"title\"/>\n</$link>~~\n</$checkbox>\n</$list>",
            "created": "20150730072835309",
            "creator": "TonGerner",
            "modified": "20160811070327525",
            "modifier": "TonGerner",
            "tags": "",
            "title": "$:/plugins/tongerner/toolbar/rename-tags"
        },
        "$:/plugins/tongerner/toolbar/images/list-all-button": {
            "text": "<svg class= \"tgc-list-all-button tc-image-button\" viewBox=\"0 0 22 22\" width=\"22px\" height=\"22px\">\n <g>\n  <g stroke=\"null\" id=\"svg_16\">\n   <g stroke=\"null\" id=\"svg_1\">\n    <rect stroke=\"null\" id=\"svg_2\" height=\"2.1868\" width=\"16.21141\" y=\"19.6257\" x=\"5.66359\"/>\n    <rect stroke=\"null\" id=\"svg_3\" height=\"2.1868\" width=\"3.03625\" y=\"19.6257\" x=\"0.1875\"/>\n   </g>\n   <g stroke=\"null\" id=\"svg_4\">\n    <rect stroke=\"null\" id=\"svg_5\" height=\"2.1868\" width=\"16.21141\" y=\"14.76615\" x=\"5.66359\"/>\n    <rect stroke=\"null\" id=\"svg_6\" height=\"2.1868\" width=\"3.03625\" y=\"14.76615\" x=\"0.1875\"/>\n   </g>\n   <g stroke=\"null\" id=\"svg_7\">\n    <rect stroke=\"null\" id=\"svg_8\" height=\"2.1868\" width=\"3.03625\" y=\"9.9066\" x=\"0.1875\"/>\n    <rect stroke=\"null\" id=\"svg_9\" height=\"2.1868\" width=\"16.21141\" y=\"9.9066\" x=\"5.66359\"/>\n   </g>\n   <g stroke=\"null\" id=\"svg_10\">\n    <rect stroke=\"null\" id=\"svg_11\" height=\"2.1868\" width=\"3.03625\" y=\"5.04705\" x=\"0.1875\"/>\n    <rect stroke=\"null\" id=\"svg_12\" height=\"2.1868\" width=\"16.21141\" y=\"5.04705\" x=\"5.66359\"/>\n   </g>\n   <g stroke=\"null\" id=\"svg_13\">\n    <rect stroke=\"null\" id=\"svg_14\" height=\"2.1868\" width=\"3.03625\" y=\"0.1875\" x=\"0.1875\"/>\n    <rect stroke=\"null\" id=\"svg_15\" height=\"2.1868\" width=\"16.21141\" y=\"0.1875\" x=\"5.66359\"/>\n   </g>\n  </g>\n </g>\n</svg>",
            "created": "20131030210000000",
            "creator": "TonGerner",
            "modified": "20160407180618272",
            "modifier": "TonGerner",
            "title": "$:/plugins/tongerner/toolbar/images/list-all-button"
        },
        "$:/plugins/tongerner/toolbar/images/list-recent-button": {
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        "$:/plugins/tongerner/toolbar/images/list-untagged-button": {
            "text": "<svg class= \"tgc-list-untagged-button tc-image-button\" viewBox=\"0 0 22 22\" width=\"22\" height=\"22\" xmlns=\"http://www.w3.org/2000/svg\" stroke=\"null\" style=\"vector-effect: non-scaling-stroke;\" preserveAspectRatio=\"xMidYMid meet\">\n <metadata stroke=\"null\" style=\"vector-effect: non-scaling-stroke;\">Created by potrace 1.12, written by Peter Selinger 2001-2015</metadata>\n <g stroke=\"null\">\n  <title stroke=\"null\">Layer 1</title>\n  <g id=\"svg_1\" transform=\"translate(0,411) scale(0.10000000149011612,-0.10000000149011612) \">\n   <path stroke=\"null\" id=\"svg_2\" d=\"m5.8654,4105.51318l-1.91815,-1.72705l-0.17437,-25.84082c-0.17437,-23.04248 -0.05813,-25.95972 0.75564,-27.62695c1.86,-3.51318 1.62751,-3.51318 28.77208,-3.51318c27.26083,0 27.08645,0 28.77208,3.57324c1.27876,2.85767 1.33688,50.66943 0,53.28906c-1.86001,3.69141 -0.98813,3.57227 -28.88833,3.57227l-25.45893,0l-1.86001,-1.72656zm43.71032,-28.3418l0,-16.96924l-16.27512,0l-16.27512,0l0,16.96924l0,16.96924l16.27512,0l16.27512,0l0,-16.96924z\"/>\n   <path stroke=\"null\" id=\"svg_3\" d=\"m92.87917,4087.23413c-4.18505,-2.20313 -6.21943,-5.5376 -6.33569,-10.06274c-0.05811,-6.01367 4.59193,-10.95532 10.40446,-11.07446c1.56941,0 27.26084,-0.05957 57.02103,-0.05957c59.98544,0 55.74229,-0.29761 59.40417,3.92993c4.41756,5.17993 2.73192,13.81299 -3.37129,17.02856c-2.20872,1.19092 -3.48747,1.19092 -58.82289,1.19092c-50.10411,0 -56.73041,-0.1189 -58.29979,-0.95264z\"/>\n   <path stroke=\"null\" id=\"svg_4\" d=\"m5.6329,4028.40723l-1.97628,-2.02466l0,-25.72168c0,-23.16162 0.11626,-25.90063 0.98814,-27.44873c2.03438,-3.45337 2.38314,-3.51245 28.65584,-3.51245c26.62145,0 26.97019,0.05908 28.71395,3.87012c1.33689,2.85791 1.395,50.66968 0.05812,53.28955c-1.86001,3.69141 -0.98813,3.57202 -28.94645,3.57202l-25.51707,0l-1.97626,-2.02417zm43.94282,-28.04419l0,-16.96924l-16.27512,0l-16.27512,0l0,16.96924l0,16.96948l16.27512,0l16.27512,0l0,-16.96948z\"/>\n   <path stroke=\"null\" id=\"svg_5\" d=\"m92.87917,4010.36621c-4.24318,-2.26294 -6.27758,-5.47778 -6.27758,-10.00317c-0.05811,-4.22729 1.80192,-7.56152 5.2313,-9.64526l2.79003,-1.66748l56.67228,0c63.18234,0 58.24168,-0.29761 62.07794,4.1084c4.53378,5.29932 2.61566,14.1709 -3.60373,17.08838c-2.26692,1.07178 -4.9407,1.13135 -58.76482,1.07178c-50.2785,0 -56.55605,-0.1189 -58.12543,-0.95264z\"/>\n   <path stroke=\"null\" id=\"svg_6\" d=\"m7.43478,3953.08716c-0.63938,-0.29736 -1.68565,-1.13135 -2.32502,-1.8457c-1.10438,-1.25049 -1.16252,-2.2627 -1.33689,-27.15088c-0.17437,-28.6394 -0.17437,-28.40112 3.60377,-30.24683c1.74378,-0.8335 4.94067,-0.95264 25.92395,-0.95264c20.5764,0 24.23829,0.11914 25.86581,0.95264c3.72003,1.78638 3.77814,2.08374 3.77814,29.83032c0,23.81641 -0.05811,24.94775 -1.16251,26.85303c-0.63937,1.07178 -1.86,2.20288 -2.67378,2.50098c-1.80187,0.71411 -49.98785,0.71411 -51.67348,0.05908zm42.14093,-29.53247l0,-16.96924l-16.27512,0l-16.27512,0l0,16.96924l0,16.96973l16.27512,0l16.27512,0l0,-16.96973z\"/>\n   <path stroke=\"null\" id=\"svg_7\" d=\"m93.16978,3933.61719c-4.30128,-1.90552 -6.56819,-5.35864 -6.56819,-10.0625c-0.05811,-5.41797 2.9644,-9.52661 8.02133,-10.95557c3.13876,-0.89307 110.08958,-0.89307 113.22834,0c2.49937,0.7146 5.87067,3.51294 7.14943,5.9541c1.22064,2.44116 1.04623,7.26416 -0.34879,10.06274c-0.63939,1.30981 -2.26688,3.0957 -3.60376,3.98926l-2.44125,1.66724l-56.6723,0.1189c-49.69724,0.11914 -56.96293,0 -58.76481,-0.77417z\"/>\n  </g>\n </g>\n</svg>",
            "created": "20150807200200203",
            "creator": "TonGerner",
            "modified": "20160407180902068",
            "modifier": "TonGerner",
            "tags": "",
            "title": "$:/plugins/tongerner/toolbar/images/list-untagged-button"
        },
        "$:/plugins/tongerner/toolbar/import-button": {
            "text": "{{$:/core/ui/Buttons/import}}",
            "caption": "{{$:/core/images/import-button}} {{$:/language/Buttons/Import/Caption}}",
            "created": "20150810090131830",
            "creator": "TonGerner",
            "description": "{{$:/language/Buttons/Import/Hint}}",
            "modified": "20150810104118694",
            "modifier": "TonGerner",
            "tags": "$:/tags/TopLeftBar",
            "title": "$:/plugins/tongerner/toolbar/import-button"
        },
        "$:/plugins/tongerner/toolbar/permaview-button": {
            "created": "20150728085559554",
            "creator": "TonGerner",
            "text": "{{$:/core/ui/Buttons/permaview}}",
            "caption": "{{$:/core/images/permaview-button}} {{$:/language/Buttons/Permaview/Caption}}",
            "description": "{{$:/language/Buttons/Permaview/Hint}}",
            "modified": "20150810155322620",
            "modifier": "TonGerner",
            "tags": "$:/tags/TopLeftBar",
            "title": "$:/plugins/tongerner/toolbar/permaview-button"
        },
        "$:/plugins/tongerner/toolbar/toggle-sidebar": {
            "text": "{{$:/core/ui/TopBar/menu}}",
            "caption": "{{$:/core/images/chevron-right}} {{$:/language/Buttons/HideSideBar/Caption}}",
            "created": "20150810175051794",
            "creator": "TonGerner",
            "description": "{{$:/language/Buttons/HideSideBar/Hint}}",
            "modified": "20150810175918083",
            "modifier": "TonGerner",
            "tags": "$:/tags/TopLeftBar",
            "title": "$:/plugins/tongerner/toolbar/toggle-sidebar"
        },
        "$:/tags/TopLeftBar": {
            "created": "20150810081323549",
            "text": "The buttons in the toolbar can be switched on/off in ''ControlPanel > Appearance > Toolbars > Top toolbar''.\nThe default - programmed - order is according to the list below.  Drag and drop to change the ordering.\n\n* $:/plugins/tongerner/toolbar/toggle-sidebar\n* $:/plugins/tongerner/toolbar/advanced-search-button\n* $:/plugins/tongerner/toolbar/home-button\n* $:/plugins/tongerner/toolbar/full-screen-button\n* $:/plugins/tongerner/toolbar/refresh-button\n* $:/plugins/tongerner/toolbar/close-all-button\n* $:/plugins/tongerner/toolbar/controlpanel-button\n* $:/plugins/tongerner/toolbar/sidebar-button\n* $:/plugins/tongerner/toolbar/import-button\n* $:/plugins/tongerner/toolbar/export-page-button\n* $:/plugins/tongerner/toolbar/list-all-button\n* $:/plugins/tongerner/toolbar/list-recent-button\n* $:/plugins/tongerner/toolbar/list-open-tiddlers-button\n* $:/plugins/tongerner/toolbar/list-untagged-tiddlers-button\n* $:/plugins/tongerner/toolbar/new-journal-button\n* $:/plugins/tongerner/toolbar/new-template-tiddler-button\n* $:/plugins/tongerner/toolbar/new-tiddler-button\n* $:/plugins/tongerner/toolbar/theme-button\n* $:/plugins/tongerner/toolbar/palette-button\n* $:/plugins/tongerner/toolbar/storyview-button\n* $:/plugins/tongerner/toolbar/toggle-sticky-button\n* $:/plugins/tongerner/toolbar/toggle-editortoolbar-button\n* $:/plugins/tongerner/toolbar/toggle-preview-button\n* $:/plugins/tongerner/toolbar/fold-all-button\n* $:/plugins/tongerner/toolbar/unfold-all-button\n* $:/plugins/tongerner/toolbar/permaview-button\n* $:/plugins/tongerner/toolbar/save-wiki-button\n* $:/plugins/tongerner/toolbar/toggle-tagging-button\n* $:/plugins/tongerner/toolbar/rename-tags-button\n* $:/plugins/tongerner/toolbar/tiddler-manager-button\n* $:/plugins/tongerner/toolbar/tag-handling-button\n* $:/plugins/tongerner/toolbar/corrupt-tiddler-button\n* $:/plugins/tongerner/toolbar/search-delete-tiddlers-button\n* $:/plugins/tongerner/toolbar/more-toolbar-actions\n\nAdditional buttons can become available when my 'tiddlersbar' or 'tabstory' plugin is used:\n\n\"\"\"\n$:/plugins/tongerner/tiddlersbar/button\n$:/plugins/tongerner/tabstory/button\n\"\"\"\n\n<<<\n''Note:''<br>To let $:/plugins/tongerner/tiddlersbar/button and/or $:/plugins/tongerner/tabstory/button show up in in ''ControlPanel > Appearance > Toolbars > Top toolbar'', they need to be tagged with $:/tags/TopLeftBar!\n<<<\n",
            "title": "$:/tags/TopLeftBar",
            "modifier": "TonGerner",
            "modified": "20170504095951063",
            "list": "$:/plugins/tongerner/toolbar/toggle-sidebar $:/plugins/tongerner/toolbar/home-button $:/plugins/tongerner/toolbar/advanced-search-button $:/plugins/tongerner/toolbar/full-screen-button $:/plugins/tongerner/toolbar/refresh-button $:/plugins/tongerner/toolbar/close-all-button $:/plugins/tongerner/toolbar/controlpanel-button $:/plugins/tongerner/toolbar/sidebar-button $:/plugins/tongerner/toolbar/import-button $:/plugins/tongerner/toolbar/export-page-button $:/plugins/tongerner/toolbar/list-all-button $:/plugins/tongerner/toolbar/list-recent-button $:/plugins/tongerner/toolbar/list-open-tiddlers-button $:/plugins/tongerner/toolbar/list-untagged-tiddlers-button $:/plugins/tongerner/toolbar/new-journal-button $:/plugins/tongerner/toolbar/new-template-tiddler-button $:/plugins/tongerner/toolbar/new-tiddler-button $:/plugins/tongerner/toolbar/theme-button $:/plugins/tongerner/toolbar/palette-button $:/plugins/tongerner/toolbar/storyview-button $:/plugins/tongerner/toolbar/toggle-sticky-button $:/plugins/tongerner/toolbar/toggle-editortoolbar-button $:/plugins/tongerner/toolbar/toggle-preview-button $:/plugins/tongerner/toolbar/fold-all-button $:/plugins/tongerner/toolbar/unfold-all-button $:/plugins/tongerner/toolbar/permaview-button $:/plugins/tongerner/toolbar/save-wiki-button $:/plugins/tongerner/toolbar/toggle-tagging-button $:/plugins/tongerner/toolbar/rename-tags-button $:/plugins/tongerner/toolbar/tiddler-manager-button $:/plugins/tongerner/toolbar/tag-handling-button $:/plugins/tongerner/toolbar/corrupt-tiddler-button $:/plugins/tongerner/toolbar/search-delete-tiddlers-button $:/plugins/tongerner/toolbar/more-toolbar-actions",
            "creator": "TonGerner"
        },
        "$:/plugins/tongerner/toolbar/tagging": {
            "text": "\\define lingo-base() $:/language/EditTemplate/\n\n\\define tag-styles()\nbackground-color:$(backgroundColor)$;\nfill:$(foregroundColor)$;\ncolor:$(foregroundColor)$;\n\\end\n\n\\define tag-body-inner(colour,fallbackTarget,colourA,colourB)\n<$vars foregroundColor=<<contrastcolour target:\"\"\"$colour$\"\"\" fallbackTarget:\"\"\"$fallbackTarget$\"\"\" colourA:\"\"\"$colourA$\"\"\" colourB:\"\"\"$colourB$\"\"\">> backgroundColor=\"\"\"$colour$\"\"\">\n<span style=<<tag-styles>> class=\"tc-tag-label\">\n<$view field=\"title\" format=\"text\" />\n<$button message=\"tm-remove-tag\" param={{!!title}} class=\"tc-btn-invisible tc-remove-tag-button\">&times;</$button>\n</span>\n</$vars>\n\\end\n\n\\define tag-body(colour,palette)\n<$macrocall $name=\"tag-body-inner\" colour=\"\"\"$colour$\"\"\" fallbackTarget={{$palette$##tag-background}} colourA={{$palette$##foreground}} colourB={{$palette$##background}}/>\n\\end\n\n\\define tag-picker-actions()\n<$action-listops\n\t$tiddler=<<currentTiddler>>\n\t$field=\"tags\"\n\t$subfilter=\"[<tag>] [all[current]tags[]]\"\n/>\n\\end\n\n<div class=\"tc-edit-tags\">\n<$fieldmangler>\n<$list filter=\"[all[current]tags[]sort[title]]\" storyview=\"pop\">\n<$macrocall $name=\"tag-body\" colour={{!!color}} palette={{$:/palette}}/>\n</$list>\n</$fieldmangler>\n<$macrocall $name=\"tag-picker\" actions=<<tag-picker-actions>>/>\n</div>\n",
            "title": "$:/plugins/tongerner/toolbar/tagging",
            "modifier": "TonGerner",
            "modified": "20170531074051877",
            "list-after": "$:/core/ui/ViewTemplate/tags",
            "creator": "TonGerner",
            "created": "20160111124429261"
        },
        "$:/plugins/tongerner/toolbar/fold-all-button": {
            "created": "20160111133242734",
            "creator": "TonGerner",
            "text": "{{$:/core/ui/Buttons/fold-all}}",
            "title": "$:/plugins/tongerner/toolbar/fold-all-button",
            "tags": "$:/tags/TopLeftBar",
            "modified": "20160111135108707",
            "modifier": "TonGerner",
            "caption": "{{$:/core/images/fold-all-button}} {{$:/language/Buttons/FoldAll/Caption}}",
            "description": "{{$:/language/Buttons/FoldAll/Hint}}"
        },
        "$:/plugins/tongerner/toolbar/unfold-all-button": {
            "created": "20160111133543876",
            "creator": "TonGerner",
            "text": "{{$:/core/ui/Buttons/unfold-all}}",
            "title": "$:/plugins/tongerner/toolbar/unfold-all-button",
            "tags": "$:/tags/TopLeftBar",
            "modified": "20160111135200866",
            "modifier": "TonGerner",
            "caption": "{{$:/core/images/unfold-all-button}} {{$:/language/Buttons/UnfoldAll/Caption}}",
            "description": "{{$:/language/Buttons/UnfoldAll/Hint}}"
        },
        "$:/core/ui/PageTemplate/topleftbar": {
            "created": "20160131125744806",
            "creator": "TonGerner",
            "title": "$:/core/ui/PageTemplate/topleftbar",
            "tags": "$:/tags/PageTemplate",
            "text": "\\define config-title()\n$:/config/TopLeftBarButtons/Visibility/$(listItem)$\n\\end\n\n<$view field=\"title\"/>\n<span class=\"tc-topbar tc-topbar-left\">\n<$list filter=\"[all[shadows+tiddlers]tag[$:/tags/TopLeftBar]!has[draft.of]]\" variable=\"listItem\">\n<$reveal type=\"nomatch\" state=<<config-title>> text=\"hide\">\n<$transclude tiddler=<<listItem>>/>\n</$reveal>\n</$list>\n</span>\n\n",
            "modified": "20160131125851674",
            "modifier": "TonGerner"
        },
        "$:/plugins/tongerner/toolbar/corrupt-tiddler-button": {
            "text": "\\define corrupt-tiddler-button(class)\n<$button to=\"$:/plugins/tongerner/toolbar/corrupt-tiddler-template\" tooltip=\"Manage a corrupt tiddler\" class=\"\"\"$(tv-config-toolbar-class)$ $class$\"\"\">\n<$list filter=\"[<tv-config-toolbar-icons>prefix[yes]]\">\n{{$:/plugins/tongerner/toolbar/images/corrupt-tiddler}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>prefix[yes]]\">\n<span class=\"tc-btn-text\"><$text text=\"manage corrupt tiddler\"/></span>\n</$list>\n</$button>\n\\end\n\n<$list filter=\"[list[$:/StoryList]] +[field:title[$:/plugins/tongerner/toolbar/corrupt-tiddler-button]]\" emptyMessage=<<corrupt-tiddler-button>>>\n<<corrupt-tiddler-button \"tc-selected\">>\n</$list>\n",
            "title": "$:/plugins/tongerner/toolbar/corrupt-tiddler-button",
            "tags": "$:/tags/TopLeftBar",
            "modifier": "TonGerner",
            "modified": "20170505143338479",
            "description": "Manage a corrupt tiddler",
            "creator": "TonGerner",
            "created": "20160212212247535",
            "caption": "{{$:/plugins/tongerner/toolbar/images/corrupt-tiddler}} manage corrupt tiddler"
        },
        "$:/plugins/tongerner/toolbar/corrupt-tiddler-input": {
            "text": "<$edit-text class=\"tc-edit-texteditor\" default=\"After entering the title of the tiddler (above), the source of the 'corrupt' tiddler will be displayed here and can be edited.\" tiddler={{$:/temp/corrupt-tiddler}}/>\n\n",
            "created": "20160810185025269",
            "creator": "TonGerner",
            "modified": "20160810190314153",
            "modifier": "TonGerner",
            "tags": "",
            "title": "$:/plugins/tongerner/toolbar/corrupt-tiddler-input"
        },
        "$:/plugins/tongerner/toolbar/corrupt-tiddler-template": {
            "created": "20160213131631987",
            "creator": "TonGerner",
            "text": "Thanks to [[Alberto Molina|https://groups.google.com/d/msg/tiddlywiki/JRtIBfv2WO4/lmtywZIMQy8J]]\n\n''Enter title of 'corrupt' tiddler:''\n<$linkcatcher to=\"$:/temp/corrupt-tiddler\">\n<div class=\"tc-search\">\n<$edit-text tiddler=\"$:/temp/corrupt-tiddler\" type=\"search\" tag=\"input\" default=\"\" placeholder=\"Enter title of 'corrupt' tiddler\" size=50/>\n<$reveal state=\"$:/temp/corrupt-tiddler\" type=\"nomatch\" text=\"\">\n<$link to=\"\" class=\"tc-btn-invisible\">\n{{$:/core/images/close-button}}\n</$link>\n</$reveal>\n</div>\n</$linkcatcher>\n\n''Edit text of corrupt tiddler:''\n{{$:/plugins/tongerner/toolbar/corrupt-tiddler-input}}\n",
            "modified": "20160811111128118",
            "modifier": "TonGerner",
            "tags": "",
            "title": "$:/plugins/tongerner/toolbar/corrupt-tiddler-template"
        },
        "$:/plugins/tongerner/toolbar/images/corrupt-tiddler": {
            "text": "<svg class=\"tgc-image-corrupt-button tc-image-button\" width=\"22pt\" height=\"22pt\" viewBox=\"0 0 521.000000 521.000000\"\n preserveAspectRatio=\"xMidYMid meet\">\n<g transform=\"translate(0.000000,521.000000) scale(0.100000,-0.100000)\">\n<path d=\"M1350 5032 c-668 -74 -1216 -136 -1217 -136 -3 -2 554 -4867 558\n-4871 2 -2 549 64 1214 146 666 82 1226 149 1245 150 19 1 360 -17 758 -41\n398 -23 725 -40 727 -38 5 4 405 4739 405 4789 l0 34 -812 43 c-447 24 -827\n43 -844 42 -31 0 -31 -1 -418 -782 l-388 -783 17 -55 c9 -30 109 -341 222\n-690 113 -349 206 -639 207 -645 0 -5 -20 -12 -47 -15 -36 -5 -51 -2 -61 10\n-20 24 -738 1259 -743 1279 -2 10 97 395 221 855 124 460 226 839 226 841 0 9\n-37 5 -1270 -133z m2839 -408 l333 -18 -5 -45 c-3 -25 -77 -890 -163 -1921\n-86 -1031 -160 -1878 -163 -1882 -6 -7 -681 27 -686 34 -9 13 -387 910 -384\n912 2 1 125 14 273 29 148 14 271 28 273 31 3 2 -124 404 -282 892 l-287 888\n274 554 273 554 105 -6 c58 -2 255 -13 439 -22z m-2223 -31 c-3 -10 -76 -279\n-162 -598 -126 -465 -155 -585 -147 -605 5 -14 168 -297 362 -630 194 -332\n353 -608 354 -613 1 -5 -128 -44 -288 -87 -159 -43 -289 -82 -288 -88 1 -6\n196 -282 434 -614 387 -542 428 -603 407 -607 -13 -2 -360 -45 -772 -95 -493\n-61 -749 -89 -751 -82 -6 18 -446 3888 -443 3891 3 2 1247 142 1281 144 13 1\n17 -4 13 -16z\"/>\n</g>\n</svg>",
            "created": "20160213194442669",
            "creator": "TonGerner",
            "modified": "20160804194258428",
            "modifier": "TonGerner",
            "tags": "",
            "title": "$:/plugins/tongerner/toolbar/images/corrupt-tiddler"
        },
        "$:/plugins/tongerner/toolbar/tag-handling": {
            "text": "<<tabs \"[[$:/plugins/tongerner/toolbar/list-standard-tags]] [[$:/plugins/tongerner/toolbar/list-systemtags]] [[$:/plugins/tongerner/toolbar/tag-search-menu]]\" \"[[$:/plugins/tongerner/toolbar/list-standard-tags]]\">>",
            "title": "$:/plugins/tongerner/toolbar/tag-handling",
            "tags": "",
            "modifier": "TonGerner",
            "modified": "20170313194020172",
            "creator": "TonGerner",
            "created": "20160731104557811"
        },
        "$:/plugins/tongerner/toolbar/tag-handling-button": {
            "text": "<$button to=\"$:/plugins/tongerner/toolbar/tag-handling\" tooltip=\"List & search via tags\" class=<<tv-config-toolbar-class>>>\n<$list filter=\"[<tv-config-toolbar-icons>prefix[yes]]\">\n{{$:/plugins/tongerner/toolbar/images/tag-handling-button}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>prefix[yes]]\">\n<$text text=\"list tags\"/>\n</$list>\n</$button>\n",
            "title": "$:/plugins/tongerner/toolbar/tag-handling-button",
            "tags": "$:/tags/TopLeftBar",
            "modifier": "TonGerner",
            "modified": "20170314183222003",
            "description": "List and expand tags",
            "creator": "TonGerner",
            "created": "20150728085245822",
            "caption": "{{$:/plugins/tongerner/toolbar/images/tag-handling-button}} tag handling"
        },
        "$:/plugins/tongerner/toolbar/tag-search-menu": {
            "created": "20160613121702886",
            "creator": "TonGerner",
            "text": "\\define bcolor(color)\nbackground-color:$color$;\n\\end\n\n\\define ShowTagMenuSubList(title)\n<$list filter=\"[tag[$title$]!prefix[$]!is[tag]sort[title]]\"><dd><div class=\"trim-string\"><$link to={{!!title}}><$view field=\"title\"/></$link> <$list filter=\"[is[current]tags[]!prefix[$]sort[title]] -[[$title$]]\" template=\"$:/core/ui/TagTemplate\"/></div></dd></$list>\n\\end\n\n\\define ShowTagMenuItem()\n<dt><$button set=<<qualify \"$:/state/TagMenuOpenL1\">> setTo=\"$(tmi-title)$\" style=<<bcolor \"$(tmi-color)$\">>   class=\"tc-btn-invisible tc-tag-label\"><$transclude tiddler=\"$(tmi-icon)$\"/> <<tmi-title>></$button> <small class=\"tc-menu-list-count\"><$count filter=\"[[$(tmi-title)$]tagging[]!prefix[$]]\"/></small> <$link to=\"$(tmi-title)$\">↗</$link></dt>\n<$reveal type=\"match\" state=<<qualify \"$:/state/TagMenuOpenL1\">> text=\"$(tmi-title)$\">\n<<ShowTagMenuSubMenu \"$(tmi-title)$\">>\n<<ShowTagMenuSubList \"$(tmi-title)$\">>\n</$reveal>\n\\end\n\n\\define ShowTagMenuItem2()\n<dd><$button  set=<<qualify \"$:/state/TagMenuOpenL2\">> setTo=\"$(tmi-title2)$\" style=<<bcolor \"$(tmi-color2)$\">>   class=\"tc-btn-invisible tc-tag-label\"><$transclude tiddler=\"$(tmi-icon2)$\"/> <<tmi-title2>></$button> <small class=\"tc-menu-list-count\"><$count filter=\"[[$(tmi-title2)$]tagging[]!prefix[$]]\"/></small> <$link to=\"$(tmi-title2)$\">↗</$link>\n<$reveal type=\"match\" state=<<qualify \"$:/state/TagMenuOpenL2\">> text=\"$(tmi-title2)$\">\n<<ShowTagMenuSubMenu2 \"$(tmi-title2)$\">>\n<<ShowTagMenuSubList \"$(tmi-title2)$\">>\n</$reveal>\n</dd>\n\\end\n\n\\define ShowTagMenuItem3()\n<dd><$button  set=<<qualify \"$:/state/TagMenuOpenL3\">> setTo=\"$(tmi-title3)$\" style=<<bcolor \"$(tmi-color3)$\">>   class=\"tc-btn-invisible tc-tag-label\"><$transclude tiddler=\"$(tmi-icon3)$\"/> <<tmi-title3>></$button> <small class=\"tc-menu-list-count\"><$count filter=\"[[$(tmi-title3)$]tagging[]!prefix[$]]\"/></small> <$link to=\"$(tmi-title3)$\">↗</$link>\n<$reveal type=\"match\" state=<<qualify \"$:/state/TagMenuOpenL3\">> text=\"$(tmi-title3)$\">\n<<ShowTagMenuSubMenu3 \"$(tmi-title3)$\">>\n<<ShowTagMenuSubList \"$(tmi-title3)$\">>\n</$reveal>\n</dd>\n\\end\n\n\\define ShowTagMenuSubMenu(title)\n<$list filter=\"[tag[$title$]!prefix[$]is[tag]sort[title]]\"><$set name=\"tmi-title2\" value={{!!title}}><$set name=\"tmi-color2\" value={{!!color}}><$set name=\"tmi-icon2\" value={{!!icon}}><<ShowTagMenuItem2>></$set></$set></$set></$list>\n\\end\n\n\\define ShowTagMenuSubMenu2(title)\n<$list filter=\"[tag[$title$]!prefix[$]is[tag]sort[title]]\"><$set name=\"tmi-title3\" value={{!!title}}><$set name=\"tmi-color3\" value={{!!color}}><$set name=\"tmi-icon3\" value={{!!icon}}><<ShowTagMenuItem3>></$set></$set></$set></$list>\n\\end\n\n\\define ShowTagMenuSubMenu3(title)\n<$list filter=\"[tag[$title$]!prefix[$]is[tag]sort[title]]\"><dd><$transclude tiddler=\"$:/core/ui/TagTemplate\"/> <small class=\"tw-menu-list-count\"><$count filter=\"[is[current]tagging[]]\"/></small></dd>\n\\end\n\nThanks to [[aSpex Daemon|https://groups.google.com/d/msg/tiddlywiki/XxLT8zJqHYM/5dKWcxFFAAAJ]]\n\nClick <$button class=\"tc-btn-invisible tc-tag-label\" style=<<bcolor \"grey\">>> tag pill</$button> to expand.<br>\nClick <$button set=<<qualify \"$:/state/TagMenuOpenL1\">> class=\"tc-btn-invisible tc-tag-label\" style=<<bcolor \"grey\">>> close all</$button> to close list.\n\n<dt><$button set=<<qualify \"$:/state/TagMenuOpenL1\">> class=\"tc-btn-invisible tc-tag-label\" style=<<bcolor \"grey\">>> close all</$button></dt>\n<$list filter=\"[tags[]!is[system]sort[title]]\"><$set name=\"tmi-title\" value={{!!title}}><$set name=\"tmi-color\" value={{!!color}}><$set name=\"tmi-icon\" value={{!!icon}}><<ShowTagMenuItem>></$set></$set></$set></$list>\n<dt><$button set=<<qualify \"$:/state/TagMenuOpenL1\">> class=\"tc-btn-invisible tc-tag-label\" style=<<bcolor \"grey\">>> close all</$button></dt>\n",
            "caption": "Tag menu",
            "modified": "20160803185718506",
            "modifier": "TonGerner",
            "tags": "",
            "title": "$:/plugins/tongerner/toolbar/tag-search-menu"
        },
        "$:/plugins/tongerner/toolbar/expandable-tiddler-template": {
            "text": "<div class=\"tgc-message-box\">\n<dt>\n<div class=\"tgc-trim-string tc-menu-list-item\">\n<abbr title=\"click to expand\">\n<$button popup=<<qualify \"$:/ExpState\">> class=\"tc-btn-invisible\" selectedClass=\"tgc-font-bold\">\n<$view field=\"title\"/>\n</$button>\n</abbr>\n<abbr title=\"click to open tiddler\">\n<$link>&#8599;</$link>\n</abbr>\n<abbr title=\"click to delete\">\n<$button message=\"tm-delete-tiddler\" class=\"tc-btn-invisible\" param={{!!title}}>{{$:/core/images/delete-button}}</$button>\n</abbr>\n<$list filter=\"[is[current]tags[]!prefix[$]sort[title]]\" template=\"$:/core/ui/TagTemplate\"/>\n</div>\n</dt>\n<dt>\n^^''<$view field=\"created\" format=\"date\" template=\"YYYY-0MM-0DD 0hh:0mm:0ss\" />'' / <$view field=\"modified\" format=\"date\" template=\"YYYY-0MM-0DD 0hh:0mm:0ss\" />^^\n</dt>\n</div>\n\n<$reveal state=<<qualify \"$:/ExpState\">> type=\"nomatch\" text=\"\">\n<$transclude mode=\"block\"/>\n</$reveal>\n",
            "created": "20160612134937083",
            "creator": "TonGerner",
            "modified": "20160809164106322",
            "modifier": "TonGerner",
            "tags": "",
            "title": "$:/plugins/tongerner/toolbar/expandable-tiddler-template"
        },
        "$:/plugins/tongerner/toolbar/images/tag-handling-button": {
            "text": "<svg class=\"tgc-list-tags-button tc-image-button\" viewBox=\"0 0 22 22\" width=\"22px\" height=\"22px\"><path d=\"m0.1875,4.2932l0,4.1057l13.06098,13.02746c0.5684,0.56672 1.48974,0.56672 2.05813,0l6.17418,-6.15877c0.56818,-0.56672 0.56818,-1.4857 0,-2.05285l-13.06098,-13.02724l-4.11605,0l-4.11627,4.1057zm6.81947,2.62217c-0.5684,0.56694 -1.48974,0.56694 -2.05813,0c0.5684,-0.56694 -0.5684,-1.48591 0,-2.05285c0.56818,-0.56694 1.48952,-0.56694 2.05813,0c0.5684,0.56694 0.5684,1.48591 0,2.05285z\"/></svg>",
            "created": "20131020115200000",
            "creator": "TonGerner",
            "modified": "20160731150156105",
            "modifier": "TonGerner",
            "title": "$:/plugins/tongerner/toolbar/images/tag-handling-button"
        },
        "$:/plugins/tongerner/toolbar/search-delete-tiddlers": {
            "text": "Thanks to [[Stephan Hradek/Matabele|https://groups.google.com/d/msg/tiddlywiki/U9GYlwVXp6M/lubA413asP4J]]/[[Tobias Beer|http://tobibeer.github.io/tb5/#%24%3A%2F.tb%2Ftemplates%2Fdelete-filter]]\n\nEnter filter expression<br>(e.g. `[prefix[$:/state/]]`, `[tag[mytag]]` or more specific `[tag[mytag]search[mytext]]`):\n\n<$linkcatcher to=\"$:/temp/delete-filter\">\n<div class=\"tc-search\">\n<$edit-text tiddler=\"$:/temp/delete-filter\" tag=\"input\" placeholder=\"enter a filter expression\" default=\"\" size=50/>\n<$reveal state=\"$:/temp/delete-filter\" type=\"nomatch\" text=\"\">\n<$link to=\"\" class=\"tc-btn-invisible\">\n{{$:/core/images/close-button}}\n</$link>\n</$reveal>\n</div>\n</$linkcatcher>\n\nClick @@.tgc-underlined link@@ to expand tiddler, click ''&#8599;'' to open tiddler, click {{$:/core/images/delete-button}} to delete tiddler.<br>Click @@.dummybutton Delete all: ''[filter]'' tiddlers@@ to delete ''all'' filtered tiddlers.\n\n<$list filter={{$:/temp/delete-filter}} template=\"$:/plugins/tongerner/toolbar/expandable-tiddler-template\"/>\n\n<$button>\n<$set name=\"myVariable\" value={{$:/temp/delete-filter}}>\n<$action-deletetiddler $filter=<<myVariable>> />\nDelete all: ''{{$:/temp/delete-filter}}'' tiddlers\n</$set>\n</$button>\n",
            "title": "$:/plugins/tongerner/toolbar/search-delete-tiddlers",
            "modifier": "TonGerner",
            "modified": "20160926175923142",
            "creator": "TonGerner",
            "created": "20160729193254618"
        },
        "$:/plugins/tongerner/toolbar/search-delete-tiddlers-button": {
            "created": "20160803185834570",
            "creator": "TonGerner",
            "text": "<$button to=\"$:/plugins/tongerner/toolbar/search-delete-tiddlers\" tooltip=\"Search & delete tiddlers\" class=<<tv-config-toolbar-class>>>\n<$list filter=\"[<tv-config-toolbar-icons>prefix[yes]]\">\n{{$:/core/images/delete-button}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>prefix[yes]]\">\n<$text text=\"search & delete tiddlers\"/>\n</$list>\n</$button>",
            "title": "$:/plugins/tongerner/toolbar/search-delete-tiddlers-button",
            "tags": "$:/tags/TopLeftBar",
            "modified": "20160803191302452",
            "modifier": "TonGerner",
            "type": "",
            "caption": "{{$:/core/images/delete-button}} search & delete",
            "description": "Search & delete tiddlers"
        },
        "$:/plugins/tongerner/toolbar/toggle-editortoolbar-button": {
            "text": "<$reveal state=\"$:/config/TextEditor/EnableToolbar\" type=\"nomatch\" text=\"no\">\n<$button set=\"$:/config/TextEditor/EnableToolbar\" setTo=\"no\" tooltip=\"Hide editor toolbar\" class=\"tgc-active-indicator tc-btn-invisible\">\n<$list filter=\"[<tv-config-toolbar-icons>prefix[yes]]\" variable=\"listItem\">\n{{$:/core/images/edit-button}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>prefix[yes]]\">\n<span class=\"tc-btn-text\"><$text text=\"non-sticky behaviour\"/></span>\n</$list>\n</$button>\n\n</$reveal>\n<$reveal state=\"$:/config/TextEditor/EnableToolbar\" type=\"match\" text=\"no\">\n<$button set=\"$:/config/TextEditor/EnableToolbar\" setTo=\"yes\" tooltip=\"Show editor toolbar\" class=\"tc-btn-invisible\">\n<$list filter=\"[<tv-config-toolbar-icons>prefix[yes]]\" variable=\"listItem\">\n{{$:/core/images/edit-button}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>prefix[yes]]\">\n<span class=\"tc-btn-text\"><$text text=\"sticky behaviour\"/></span>\n</$list>\n</$button>\n</$reveal>\n",
            "title": "$:/plugins/tongerner/toolbar/toggle-editortoolbar-button",
            "tags": "$:/tags/TopLeftBar",
            "modifier": "TonGerner",
            "modified": "20170505115507673",
            "description": "Toggle editor toolbar",
            "creator": "TonGerner",
            "created": "20160727112924760",
            "caption": "{{$:/core/images/edit-button}} toggle editor toolbar"
        },
        "$:/plugins/tongerner/toolbar/images/disable-toolbar": {
            "text": "<svg xmlns=\"http://www.w3.org/2000/svg\" width=\"22\" height=\"22\" viewBox=\"0 0 8 8\">\n  <path d=\"M4 0c-2.21 0-4 1.79-4 4s1.79 4 4 4 4-1.79 4-4-1.79-4-4-4zm0 1v2h3v2h-3v2l-3-3 3-3z\" />\n</svg>",
            "created": "20160815143553927",
            "creator": "TonGerner",
            "list-after": "",
            "modified": "20160913142125093",
            "modifier": "TonGerner",
            "tags": "",
            "title": "$:/plugins/tongerner/toolbar/images/disable-toolbar"
        },
        "$:/plugins/tongerner/toolbar/images/enable-toolbar": {
            "text": "<svg xmlns=\"http://www.w3.org/2000/svg\" width=\"22\" height=\"22\" viewBox=\"0 0 8 8\">\n  <path d=\"M4 0c-2.21 0-4 1.79-4 4s1.79 4 4 4 4-1.79 4-4-1.79-4-4-4zm0 1l3 3-3 3v-2h-3v-2h3v-2z\" />\n</svg>",
            "created": "20160815143621896",
            "creator": "TonGerner",
            "modified": "20160913142150234",
            "modifier": "TonGerner",
            "tags": "",
            "title": "$:/plugins/tongerner/toolbar/images/enable-toolbar"
        },
        "$:/plugins/tongerner/toolbar/more-toolbar-actions": {
            "text": "\\define config-title()\n$:/config/TopLeftBarButtons/Visibility/$(listItem)$\n\\end\n<$button popup=<<qualify \"$:/state/popup/more\">> tooltip={{$:/language/Buttons/More/Hint}} aria-label={{$:/language/Buttons/More/Caption}} class=<<tv-config-toolbar-class>> selectedClass=\"tc-selected\">\n<$list filter=\"[<tv-config-toolbar-icons>prefix[yes]]\">\n{{$:/core/images/down-arrow}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>prefix[yes]]\">\n<span class=\"tc-btn-text\"><$text text={{$:/language/Buttons/More/Caption}}/></span>\n</$list>\n</$button><$reveal state=<<qualify \"$:/state/popup/more\">> type=\"popup\" position=\"below\" animate=\"yes\">\n<div class=\"tgc-more tc-drop-down\">\n<$set name=\"tv-config-toolbar-icons\" value=\"yes\">\n<$set name=\"tv-config-toolbar-text\" value=\"yes\">\n<$set name=\"tv-config-toolbar-class\" value=\"tc-btn-invisible\">\n<$list filter=\"[all[shadows+tiddlers]tag[$:/tags/TopLeftBar]!has[draft.of]] -[[$:/plugins/tongerner/toolbar/more-toolbar-actions]]\" variable=\"listItem\">\n<$reveal type=\"match\" state=<<config-title>> text=\"hide\">\n<$transclude tiddler=<<listItem>> mode=\"inline\"/>\n</$reveal>\n</$list>\n</$set>\n</$set>\n</$set>\n</div>\n</$reveal>",
            "title": "$:/plugins/tongerner/toolbar/more-toolbar-actions",
            "tags": "$:/tags/TopLeftBar",
            "modifier": "TonGerner",
            "modified": "20170505171326970",
            "description": "{{$:/language/Buttons/More/Hint}}",
            "creator": "TonGerner",
            "created": "20161010113847343",
            "caption": "{{$:/core/images/down-arrow}} {{$:/language/Buttons/More/Caption}}"
        },
        "$:/plugins/tongerner/toolbar/toggle-preview-button": {
            "text": "<$reveal state=\"$:/state/showeditpreview\" type=\"nomatch\" text=\"no\">\n<$button set=\"$:/state/showeditpreview\" setTo=\"no\" tooltip=\"Hide preview\" class=\"tgc-active-indicator tc-btn-invisible\">\n<$list filter=\"[<tv-config-toolbar-icons>prefix[yes]]\" variable=\"listItem\">\n{{$:/core/images/preview-open}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>prefix[yes]]\">\n<span class=\"tc-btn-text\"><$text text=\"non-sticky behaviour\"/></span>\n</$list>\n</$button>\n\n</$reveal>\n<$reveal state=\"$:/state/showeditpreview\" type=\"match\" text=\"no\">\n<$button set=\"$:/state/showeditpreview\" setTo=\"yes\" tooltip=\"Show preview\" class=\"tc-btn-invisible\">\n<$list filter=\"[<tv-config-toolbar-icons>prefix[yes]]\" variable=\"listItem\">\n{{$:/core/images/preview-closed}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>prefix[yes]]\">\n<span class=\"tc-btn-text\"><$text text=\"sticky behaviour\"/></span>\n</$list>\n</$button>\n</$reveal>\n",
            "title": "$:/plugins/tongerner/toolbar/toggle-preview-button",
            "tags": "$:/tags/TopLeftBar",
            "modifier": "TonGerner",
            "modified": "20170505115527822",
            "description": "Toggle preview",
            "creator": "TonGerner",
            "created": "20161225111254821",
            "caption": "{{$:/core/images/preview-open}} toggle preview"
        },
        "$:/plugins/tongerner/toolbar/toggle-sticky-button": {
            "text": "<$reveal state=\"$:/themes/tiddlywiki/vanilla/options/stickytitles\" type=\"nomatch\" text=\"no\">\n<$button set=\"$:/themes/tiddlywiki/vanilla/options/stickytitles\" setTo=\"no\" tooltip=\"No sticky titles\" class=\"tgc-active-indicator tc-btn-invisible\">\n<$list filter=\"[<tv-config-toolbar-icons>prefix[yes]]\" variable=\"listItem\">\n{{$:/plugins/tongerner/toolbar/images/sticky-icon}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>prefix[yes]]\">\n<span class=\"tc-btn-text\"><$text text=\"non-sticky behaviour\"/></span>\n</$list>\n</$button>\n\n</$reveal>\n<$reveal state=\"$:/themes/tiddlywiki/vanilla/options/stickytitles\" type=\"match\" text=\"no\">\n<$button set=\"$:/themes/tiddlywiki/vanilla/options/stickytitles\" setTo=\"yes\" tooltip=\"Sticky titles\" class=<<tv-config-toolbar-class>>>\n<$list filter=\"[<tv-config-toolbar-icons>prefix[yes]]\" variable=\"listItem\">\n{{$:/plugins/tongerner/toolbar/images/sticky-icon}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>prefix[yes]]\">\n<span class=\"tc-btn-text\"><$text text=\"sticky behaviour\"/></span>\n</$list>\n</$button>\n</$reveal>",
            "title": "$:/plugins/tongerner/toolbar/toggle-sticky-button",
            "tags": "$:/tags/TopLeftBar",
            "modifier": "TonGerner",
            "modified": "20170505115544470",
            "description": "Toggle sticky behaviour",
            "creator": "TonGerner",
            "created": "20170131182427858",
            "caption": "{{$:/plugins/tongerner/toolbar/images/sticky-icon}} toggle sticky behaviour"
        },
        "$:/plugins/danielo/tagSearch/css": {
            "created": "20140924100100430",
            "modified": "20170313155351224",
            "tags": "$:/tags/Stylesheet",
            "title": "$:/plugins/danielo/tagSearch/css",
            "type": "text/css",
            "text": ".tc-advanced-search .tc-radio input { width: auto; }",
            "modifier": "TonGerner"
        },
        "$:/plugins/danielo/tagSearch/macros/extractTagsAsFilter.js": {
            "created": "20140110061443770",
            "text": "/*\\\ncreated: 20140110061443770\ncreator: Danielo Rodriguez\nmodified: 20140415014136920\nmodifier: Danielo\ntags: macros\ntitle: $:/plugins/danielo/tagSearch/macros/extractTagsAsFilter.js\ntype: application/javascript\nmodule-type: macro\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nInformation about this macro\nThis is developed to .\n*/\n\nexports.name = \"extractTagsAsFilter\";\n\nexports.params = [\n\t{ name: \"tiddlerName\" }\n];\n\n/*\nRun the macro\n*/\nexports.run = function(tiddlerName) {\n   var tiddler=$tw.wiki.getTiddler(tiddlerName);\n    var result=\"\";\n    if(tiddler && tiddler.fields.tags)\n    {\n        var tags=tiddler.fields.tags;\n        for(var i=0; i<tags.length; i++)\n            result+=\"tag[\"+tags[i]+\"]\";\n    }\n\nreturn result;\n}\n\n})();",
            "creator": "Danielo Rodriguez",
            "modified": "20170313155325139",
            "modifier": "TonGerner",
            "tags": "macros",
            "title": "$:/plugins/danielo/tagSearch/macros/extractTagsAsFilter.js",
            "type": "application/javascript",
            "module-type": "macro"
        },
        "$:/plugins/danielo/tagSearch/readme": {
            "text": "This plugin allows you to refine searches using tags. It's possible to search without any tag and the opposite, using just tags as filter.\n\n!! How to use\nAfter installing it you will have a new tab in \"Advanced search\" tiddler. You can also transclude this search whatever you want just transcluding it\n\n```\n{{TagsSearch}}\n```\n\n\n",
            "type": "text/vnd.tiddlywiki",
            "title": "$:/plugins/danielo/tagSearch/readme",
            "modified": "20170313170222220",
            "created": "20140927204347971"
        },
        "$:/plugins/danielo/tagSearch/SearchFilter": {
            "created": "20140414232747021",
            "modified": "20170313155436114",
            "module-type": "macro",
            "tags": "macros",
            "title": "$:/plugins/danielo/tagSearch/SearchFilter",
            "type": "application/javascript",
            "text": "/*\\\ntitle: $:/macros/danielo/SearchFilter.js\ntype: application/javascript\nmodule-type: macro\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nInformation about this macro\nThis returns an empty search string if tiddlerName is empty. This avoids all tiddlers as result when using an empty as search string. \n*/\n\nexports.name = \"search-filter\";\n\nexports.params = [\n\t{ name: \"tiddlerName\" }\n];\n\n/*\nRun the macro\n*/\nexports.run = function(tiddlerName) {\n   var tiddler=$tw.wiki.getTiddler(tiddlerName);\n    var result=\"search{}\"; //by default,empty search\n    if(tiddler && tiddler.fields.text.trim().length>0 || tiddler.fields.tags)\n    {\n            result=\"search{\"+tiddlerName+\"}\";\n    }\n\nreturn result;\n}\n\n})();",
            "modifier": "TonGerner"
        },
        "$:/plugins/tongerner/toolbar/tagssearch": {
            "text": "\\define lingo-base() $:/language/EditTemplate/\n\n\\define tag-styles()\nbackground-color:$(backgroundColor)$;\nfill:$(foregroundColor)$;\ncolor:$(foregroundColor)$;\n\\end\n\n\\define tag-body-inner(colour,fallbackTarget,colourA,colourB)\n<$vars foregroundColor=<<contrastcolour target:\"\"\"$colour$\"\"\" fallbackTarget:\"\"\"$fallbackTarget$\"\"\" colourA:\"\"\"$colourA$\"\"\" colourB:\"\"\"$colourB$\"\"\">> backgroundColor=\"\"\"$colour$\"\"\">\n<span style=<<tag-styles>> class=\"tc-tag-label\">\n<$view field=\"title\" format=\"text\" />\n<$button message=\"tm-remove-tag\" param={{!!title}} class=\"tc-btn-invisible tc-remove-tag-button\">&times;</$button>\n</span>\n</$vars>\n\\end\n\n\\define tag-body(colour,palette)\n<$macrocall $name=\"tag-body-inner\" colour=\"\"\"$colour$\"\"\" fallbackTarget={{$palette$##tag-background}} colourA={{$palette$##foreground}} colourB={{$palette$##background}}/>\n\\end\n\n\\define tag-filter() [![$:/temp/search]!has[draft.of]!is[current]$(systemFilter)$$(shadowFilter)$$(searchFilter)$$(tagNames)$sort[title]]\n\n\\define show-system()\n<div>\nSystem tiddlers:\n<$radio field=\"systemfilter\" value=\"\"> Show </$radio>&nbsp; <$radio field=\"systemfilter\" value=\"!is[system]\"> Hide </$radio>\n</div>\n\\end\n\n\\define show-shadow()\n<small><div> <em> Shadow:</em> <$radio field=\"shadowfilter\" value=\"is[shadow]\">  Show </$radio> <$radio field=\"shadowfilter\" value=\"!is[shadow]\"> Hide </$radio></div></small>\n\\end\n\nThanks to [[Danielo|http://braintest.tiddlyspot.com/#TagsSearch-Plugin]]\n\n<div class=\"tc-search\">\n<$edit-text tiddler=\"$:/temp/search\" type=\"search\" tag=\"input\"/>\n<$reveal state=\"$:/temp/search\" type=\"nomatch\" text=\"\">\n<$linkcatcher to=\"$:/temp/search\">\n<$link to=\"\" class=\"tc-btn-invisible\">{{$:/core/images/close-button}}</$link>\n</$linkcatcher>\n</$reveal>\n</div>\n<$fieldmangler tiddler=\"$:/temp/search\">\n\n<div class=\"tc-edit-add-tag\">\n<span class=\"tc-add-tag-name\">\n<$edit-text tiddler=\"$:/temp/NewTagName\" tag=\"input\" default=\"\" placeholder={{$:/language/EditTemplate/Tags/Add/Placeholder}} focusPopup=<<qualify \"$:/state/popup/tags-auto-complete\">> class=\"tc-edit-texteditor tc-popup-handle\"/>\n</span>\n<$button popup=<<qualify \"$:/state/popup/tags-auto-complete\">> class=\"tc-btn-invisible tc-btn-dropdown\" tooltip={{$:/language/EditTemplate/Tags/Dropdown/Hint}} aria-label={{$:/language/EditTemplate/Tags/Dropdown/Caption}}>{{$:/core/images/down-arrow}}\n</$button>\n<span class=\"tc-add-tag-button\">\n<$button message=\"tm-add-tag\" param={{$:/temp/NewTagName}} set=\"$:/temp/NewTagName\" setTo=\"\" tooltip=\"Add tag\">''+''</$button>\n</span>\n</div>\n\n<div class=\"tc-block-dropdown-wrapper\">\n<$reveal state=<<qualify \"$:/state/popup/tags-auto-complete\">> type=\"nomatch\" text=\"\" default=\"\">\n<div class=\"tc-block-dropdown\">\n<$linkcatcher set=\"$:/temp/NewTagName\" setTo=\"\" message=\"tm-add-tag\">\n<$list filter=\"[tags[]!is[system]search:title{$:/temp/NewTagName}sort[]]\">\n{{||$:/core/ui/Components/tag-link}}\n</$list>\n<hr>\n<$list filter=\"[tags[]is[system]search:title{$:/temp/NewTagName}sort[]]\">\n{{||$:/core/ui/Components/tag-link}}\n</$list>\n</$linkcatcher>\n</div>\n</$reveal>\n</div>\n<$list filter=\"[[$:/temp/search]tags[]sort[title]]\" storyview=\"pop\"><$set name=\"backgroundColor\" value={{!!color}}><span style=<<tag-styles>> class=\"tc-tag-label\">\n<$view field=\"title\" format=\"text\" />\n<$button message=\"tm-remove-tag\" param={{!!title}} class=\"tc-btn-invisible tc-remove-tag-button\">&times;</$button></span>\n</$set>\n</$list>\n</$fieldmangler>\n<div style=\"display:inline;\"><<show-system>></div>\n<$set name=\"searchFilter\" value=<<search-filter \"$:/temp/search\">> >\n<$set name=\"tagNames\" value=<<extractTagsAsFilter \"$:/temp/search\">> >\n<$set name=\"systemFilter\" value={{!!systemfilter}}>\n<br>\n<$list filter=<<tag-filter>> template=\"$:/plugins/tongerner/toolbar/expandable-tiddler-template\">\n\n</$list>\n</$set></$set></$set>",
            "title": "$:/plugins/tongerner/toolbar/tagssearch",
            "tags": "$:/tags/AdvancedSearch",
            "systemfilter": "!is[system]",
            "modifier": "TonGerner",
            "modified": "20170313170043313",
            "creator": "TonGerner",
            "created": "20161215195311696",
            "caption": "Tags search"
        },
        "$:/plugins/tongerner/toolbar/images/tagging-button": {
            "created": "20150806203451280",
            "text": "<svg class=\"tgc-tagging-on-button tc-image-button\" height=\"28px\" width=\"28px\" viewBox=\"0 0 22 22\">\n<path id=\"svg_1\" d=\"m7.4224,21.44207l13.97943,-13.96076c0.08521,-0.08543 0.15867,-0.1777 0.22215,-0.27477c0.17689,-0.22723 0.28806,-0.5095 0.28877,-0.82012l-0.00162,-4.94194c0.00091,-0.74124 -0.59945,-1.34073 -1.34167,-1.3403l-4.9476,-0.00043c-0.31232,0 -0.59452,0.11003 -0.82238,0.28763c-0.09682,0.06387 -0.18954,0.13724 -0.27474,0.22229l-13.97857,13.96114c-0.66794,0.66711 -0.6687,1.74766 0,2.41468l4.45844,4.45256c0.66695,0.66621 1.74972,0.66707 2.41779,0zm9.42597,-18.24285c0.54183,-0.54193 1.42166,-0.54193 1.9644,0c0.54268,0.54203 0.54268,1.42046 0,1.96245c-0.54269,0.54151 -1.42257,0.54151 -1.9644,0c-0.54263,-0.54203 -0.54263,-1.42046 0,-1.96245z\"/>\n</svg>",
            "creator": "TonGerner",
            "modified": "20170314180011225",
            "modifier": "TonGerner",
            "tags": "",
            "title": "$:/plugins/tongerner/toolbar/images/tagging-button"
        },
        "$:/plugins/tongerner/toolbar/images/sticky-icon": {
            "text": "<svg class=\"tgc-sticky-button tc-image-button\" height=\"22px\" width=\"22px\" viewBox=\"0 0 290 290\">\n<path d=\"M284.779,92.635L197.365,5.222c-6.962-6.963-18.253-6.963-25.217,0l-0.818,0.818c-6.964,6.963-6.963,18.254,0,25.217\n\tl1.232,1.232L97.788,95.371L95.6,93.182c-2.412-2.412-5.691-3.688-9.484-3.688c-6.215,0-13.456,3.53-19.369,9.443l-5.059,5.059\n\tc-1.238,1.237-1.932,2.915-1.932,4.665c0,1.749,0.694,3.428,1.932,4.665l43.014,43.013L2.526,271.29\n\tc-3.52,3.959-3.34,9.977,0.408,13.72l2.07,2.066C6.949,289.019,9.507,290,12.071,290c2.369,0,4.743-0.838,6.642-2.526\n\tl114.946-102.175l43.015,43.015c1.288,1.288,2.976,1.932,4.665,1.932c1.688,0,3.376-0.644,4.665-1.932l5.06-5.06\n\tc9.864-9.865,12.338-22.27,5.754-28.855l-2.187-2.186l62.881-74.773l1.232,1.231c6.962,6.963,18.252,6.963,25.214-0.002l0.819-0.818\n\tC291.74,110.888,291.741,99.599,284.779,92.635z\"/>\n</svg>\n",
            "title": "$:/plugins/tongerner/toolbar/images/sticky-icon",
            "tags": "",
            "modified": "20170314125946693",
            "created": "20170314123023395"
        },
        "$:/plugins/tongerner/toolbar/tiddler-manager-button": {
            "text": "\\define tiddler-manager-button(class)\n<$button to=\"$:/Manager\" tooltip=\"Manage tiddlers\" class=\"\"\"$(tv-config-toolbar-class)$ $class$\"\"\">\n<$list filter=\"[<tv-config-toolbar-icons>prefix[yes]]\">\n{{$:/core/images/list}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>prefix[yes]]\">\n<span class=\"tc-btn-text\"><$text text=\"manage tiddlers\"/></span>\n</$list>\n</$button>\n\\end\n\n<$list filter=\"[list[$:/StoryList]] +[field:title[$:/Manager]]\" emptyMessage=<<tiddler-manager-button>>>\n<<tiddler-manager-button \"tc-selected\">>\n</$list>",
            "title": "$:/plugins/tongerner/toolbar/tiddler-manager-button",
            "tags": "$:/tags/TopLeftBar",
            "modified": "20170505115451875",
            "description": "Manage tiddlers",
            "created": "20170503094941294",
            "caption": "{{$:/core/images/list}} manage tiddlers"
        },
        "$:/language/ControlPanel/Toolbars/TopLeftBar/Hint": {
            "created": "20170504074539994",
            "text": "Choose which tiddlers are displayed on the top left toolbar. Drag and drop to change the ordering",
            "title": "$:/language/ControlPanel/Toolbars/TopLeftBar/Hint",
            "tags": "",
            "modified": "20170504081701002"
        }
    }
}

<pre>/* TOOLBAR */
.tc-topbar-left {
     font-size: {{!!button-size}};
}

.tc-topbar button svg {
     fill: {{!!button-color}};
}

.tc-topbar button:hover svg {
     fill:{{!!button-hover-color}};
}

/* space between toolbar buttons */
.tc-topbar button {
     padding: 8px {{!!toolbar-button-spacing}};
}

/* TOP BAR LEFT */
.tc-topbar-left {
     left: {{!!toolbar-left}};
     top: {{!!toolbar-top}};
}

/* TIDDLER */
/* TOP PADDING TIDDLER */
html .tc-tiddler-frame {
     padding-top: {{!!tiddler-padding-top}};
}

/* SIZE OF TIDDLER CONTROL BUTTONS */
html .tc-tiddler-controls button svg {
     height: {{!!tiddler-button-size}};
}

/* SPACE BETWEEN TIDDLER CONTROL BUTTONS */
html .tc-tiddler-controls button {
     margin-left: {{!!tiddler-button-spacing}};
}

/* SCROLL HEIGHT MENUS IN TOOLBAR */
.tgc-scrollable-list {
     padding: 0em;
     height: {{!!menus-scroll-height}};
     position: relative;
}

/* FONT SIZE MENUS */
.tgc-font-size-menus {
     font-size: {{!!menus-font-size}};
}

/* DUMMY BUTTON STYLE */
.dummybutton {
    padding: 1px 8px 1px 8px;
    background-color: #DCDAD5;
    border-width: 2px;
    border-style: solid;
    border-color: white gray gray white;
}

/* STYLES BELOW USED IN: */
/* $:/plugins/tongerner/toolbar/expandable-tiddler-template */
/* $:/plugins/tongerner/toolbar/tag-search-menu */

/* THREE COLUMN MODE */
.tgc-3columns { 
   display:block; 
   -moz-column-count:3; 
   -moz-column-gap:1em; 
   -webkit-column-count: 3;
   -webkit-column-gap:1em; 
}

/* CUT LONG STRINGS */
.tgc-trim-string {
    white-space: nowrap; 
    overflow: hidden; 
    text-overflow: ellipsis;
}

.tgc-trim-string:hover {
    white-space: normal;
    overflow: inherit; 
}

.tgc-message-box {
    border: 1px solid <<color message-border>>;
    background: <<color code-background>>;
    padding: 10px 21px 10px 21px;
    margin: -10px -21px -10px -21px;
}

.tgc-font-bold {
     font-weight: bold;
}

.tgc-underlined {
     text-decoration: underline;
}

/* Font-size More menu */
.tgc-more {
     font-size: 0.7em;
}
</pre>

\define lingo-base() $:/language/EditTemplate/

\define tag-styles()
background-color:$(backgroundColor)$;
fill:$(foregroundColor)$;
color:$(foregroundColor)$;
\end

\define tag-body-inner(colour,fallbackTarget,colourA,colourB)
<$vars foregroundColor=<<contrastcolour target:"""$colour$""" fallbackTarget:"""$fallbackTarget$""" colourA:"""$colourA$""" colourB:"""$colourB$""">> backgroundColor="""$colour$""">
<span style=<<tag-styles>> class="tc-tag-label">
<$view field="title" format="text" />
<$button message="tm-remove-tag" param={{!!title}} class="tc-btn-invisible tc-remove-tag-button">&times;</$button>
</span>
</$vars>
\end

\define tag-body(colour,palette)
<$macrocall $name="tag-body-inner" colour="""$colour$""" fallbackTarget={{$palette$##tag-background}} colourA={{$palette$##foreground}} colourB={{$palette$##background}}/>
\end

\define tag-picker-actions()
<$action-listops
	$tiddler=<<currentTiddler>>
	$field="tags"
	$subfilter="[<tag>] [all[current]tags[]]"
/>
\end

<div class="tc-edit-tags">
<$fieldmangler>
<$list filter="[all[current]tags[]sort[title]]" storyview="pop">
<$macrocall $name="tag-body" colour={{!!color}} palette={{$:/palette}}/>
</$list>
</$fieldmangler>
<$macrocall $name="tag-picker" actions=<<tag-picker-actions>>/>
</div>

{
    "tiddlers": {
        "$:/plugins/tongerner/topmenu/menu-template": {
            "text": "\\define tag-styles()\nbackground-color:$(backgroundColor)$;\nfill:$(foregroundColor)$;\ncolor:$(foregroundColor)$;\n\\end\n\n\\define tag-body-inner(colour,fallbackTarget,colourA,colourB)\n<$set name=\"foregroundColor\" value=<<contrastcolour target:\"\"\"$colour$\"\"\" fallbackTarget:\"\"\"$fallbackTarget$\"\"\" colourA:\"\"\"$colourA$\"\"\" colourB:\"\"\"$colourB$\"\"\">>>\n<$set name=\"backgroundColor\" value=\"\"\"$colour$\"\"\">\n<$button popup=<<qualify \"$:/state/popup/tag\">> class=\"tc-btn-invisible tc-tag-label\" style=<<tag-styles>>>\n<$transclude tiddler={{!!icon}}/> <$view field=\"title\" format=\"text\" />\n</$button>\n<$reveal state=<<qualify \"$:/state/popup/tag\">> type=\"popup\" position=\"below\" animate=\"yes\"><div class=\"tc-drop-down tc-menu-drop-down\">\n<$list filter=\"[all[current]tagging[]]\" template=\"$:/core/ui/ListItemTemplate\"/>\n</div>\n</$reveal>\n</$set>\n</$set>\n\\end\n\n\\define tag-body(colour,palette)\n<span class=\"tc-tag-list-item\">\n<$macrocall $name=\"tag-body-inner\" colour=\"\"\"$colour$\"\"\" fallbackTarget={{$palette$##tag-background}} colourA={{$palette$##foreground}} colourB={{$palette$##background}}/>\n</span>\n\\end\n\n<$macrocall $name=\"tag-body\" colour={{!!color}} palette={{$:/palette}}/>",
            "created": "20150630194215349",
            "creator": "TonGerner",
            "modified": "20150801170545650",
            "modifier": "TonGerner",
            "tags": "",
            "title": "$:/plugins/tongerner/topmenu/menu-template"
        },
        "$:/plugins/tongerner/topmenu/settings": {
            "created": "20160111185911104",
            "modified": "20170405092137737",
            "text": "!!Top menu settings\n<table class=\"tablestyle\">\n<<tableRow \"Top 'Top menu'\" \"$:/plugins/tongerner/topmenu/styles\" \"topmenu-top\">>\n<<tableRow \"Left 'Top menu'\" \"$:/plugins/tongerner/topmenu/styles\" \"topmenu-left\">>\n<<tableRow \"Rounded corners menu\" \"$:/plugins/tongerner/topmenu/styles\" \"button-border-radius\">>\n<<tableRow \"Font-size menu\" \"$:/plugins/tongerner/topmenu/styles\" \"menu-font-size\">>\n<<tableRow \"Font-size menu entries\" \"$:/plugins/tongerner/topmenu/styles\" \"menu-entry-font-size\">>\n</table>\n<$button message=\"tm-open-window\" param=\"$:/plugins/tongerner/topmenu/settings-help\" tooltip=\"Help\" aria-label=\"Help\">Help</$button>",
            "caption": "Top menu",
            "creator": "TonGerner",
            "modifier": "TonGerner",
            "tags": "$:/tags/plugin-tweaks",
            "title": "$:/plugins/tongerner/topmenu/settings",
            "order": "2"
        },
        "$:/plugins/tongerner/topmenu/settings-help": {
            "created": "20150701110844646",
            "text": "<<<\n''Note:''<br>You can enter values in allowed CSS units, e.g. `%`, `px`, `em`...\n<<<\n\n|Entry |Description |Default |h\n|Top 'Top menu' |Start (from the top) of the top menu| 0px |\n|Left 'Top menu' |Start (from the left) of the top menu | 42px |\n|Rounded corners menu |Rounded corners of main menu 'tagpills' | 3px |\n|Font-size menu |Font-size of menu | 16px |\n|Font-size menu entries |Font-size of menu entries | 0.8em |\n",
            "creator": "TonGerner",
            "modified": "20160112193658905",
            "modifier": "TonGerner",
            "tags": "",
            "title": "$:/plugins/tongerner/topmenu/settings-help"
        },
        "$:/plugins/tongerner/topmenu/styles": {
            "created": "20160112193603578",
            "text": "<pre>/* TOP MENU */\n.tgc-topmenu {\n     display: block;\n     position: fixed;\n     left: 0;\n     top: 0px;\n     margin-left: {{!!topmenu-left}};\n     margin-top: {{!!topmenu-top}};\n     font-size: {{!!menu-font-size}};\n}\n\n/* TOP MENU BUTTON */\n/* html needed; otherwise tc-topbar button interferes */\nhtml .tgc-topmenu button {\n     padding: 1px 5px 3px 5px;\n}\n\n/* TOP MENU TAG PILL ENTRIES */\n/* html needed */\nhtml .tgc-topmenu .tc-tag-label {\n     border-radius: {{!!button-border-radius}};\n}\n\n.tc-menu-drop-down {\n     min-width: 120px;\n     border: none;\n     margin: 1px;\n     font-size: {{!!menu-entry-font-size}};\n}\n</pre>",
            "button-border-radius": "3px",
            "creator": "TonGerner",
            "list-after": "$:/themes/tiddlywiki/vanilla/base",
            "menu-entry-font-size": "0.8em",
            "menu-font-size": "16px",
            "modified": "20160407170953565",
            "modifier": "TonGerner",
            "tags": "$:/tags/Stylesheet",
            "title": "$:/plugins/tongerner/topmenu/styles",
            "topmenu-left": "42px",
            "topmenu-top": "0px"
        },
        "$:/plugins/tongerner/topmenu/topmenu": {
            "created": "20150630194341608",
            "text": "<div class=\"tgc-topmenu\">\n{{tagpill1||$:/plugins/tongerner/topmenu/menu-template}}\n{{tagpill2||$:/plugins/tongerner/topmenu/menu-template}}\n</div>\n<!--\nA top menu with 2 'dummy' tag pills is shown above.\nReplace the dummy tags with your own tags and add more lines if needed.\n-->",
            "creator": "TonGerner",
            "modified": "20160407170833513",
            "modifier": "TonGerner",
            "tags": "$:/tags/TopLeftBar",
            "title": "$:/plugins/tongerner/topmenu/topmenu",
            "caption": "{{$:/core/images/menu-button}} top menu",
            "description": "Menu on top"
        },
        "$:/plugins/tongerner/topmenu/icon": {
            "text": "<?xml version=\"1.0\" encoding=\"UTF-8\" standalone=\"no\"?>\n<svg\n   xmlns:dc=\"http://purl.org/dc/elements/1.1/\"\n   xmlns:cc=\"http://creativecommons.org/ns#\"\n   xmlns:rdf=\"http://www.w3.org/1999/02/22-rdf-syntax-ns#\"\n   xmlns:svg=\"http://www.w3.org/2000/svg\"\n   xmlns=\"http://www.w3.org/2000/svg\"\n   version=\"1.1\"\n   id=\"svg2\"\n   viewBox=\"0 0 99.212598 99.212598\"\n   height=\"28mm\"\n   width=\"28mm\">\n  <defs\n     id=\"defs4\" />\n  <metadata\n     id=\"metadata7\">\n    <rdf:RDF>\n      <cc:Work\n         rdf:about=\"\">\n        <dc:format>image/svg+xml</dc:format>\n        <dc:type\n           rdf:resource=\"http://purl.org/dc/dcmitype/StillImage\" />\n        <dc:title></dc:title>\n      </cc:Work>\n    </rdf:RDF>\n  </metadata>\n  <g\n     transform=\"translate(0,-953.14961)\"\n     id=\"layer1\">\n    <path\n       d=\"m 48.98237,1051.0187 -41.9831281,-24.239 -1.3e-6,-48.47796 41.9831264,-24.23897 41.983128,24.23897 10e-7,48.47796 z\"\n       id=\"path4142\"\n       style=\"fill:#a0a0ff;fill-opacity:1;stroke:#a0a0ff;stroke-width:1.22180152;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1\" />\n    <path\n       d=\"m 20.63027,987.40577 56.755102,0 c 2.610735,0 4.729592,-2.11886 4.729592,-4.72959 0,-2.61073 -2.118857,-4.72959 -4.729592,-4.72959 l -56.755102,0 c -2.610735,0 -4.729592,2.11886 -4.729592,4.72959 0,2.61073 2.118857,4.72959 4.729592,4.72959 z m 56.755102,9.45914 -56.755102,0 c -2.610735,0 -4.729592,2.1189 -4.729592,4.72959 0,2.6108 2.118857,4.7296 4.729592,4.7296 l 56.755102,0 c 2.610735,0 4.729592,-2.1188 4.729592,-4.7296 0,-2.61069 -2.118857,-4.72959 -4.729592,-4.72959 z m 0,18.91839 -56.755102,0 c -2.610735,0 -4.729592,2.1189 -4.729592,4.7296 0,2.6107 2.118857,4.7296 4.729592,4.7296 l 56.755102,0 c 2.610735,0 4.729592,-2.1189 4.729592,-4.7296 0,-2.6107 -2.118857,-4.7296 -4.729592,-4.7296 z\"\n       id=\"path5447\" />\n  </g>\n</svg>\n",
            "created": "20160109210345621",
            "modified": "20160109210348453",
            "title": "$:/plugins/tongerner/topmenu/icon",
            "type": "image/svg+xml"
        },
        "$:/plugins/tongerner/topmenu/readme": {
            "text": "This plugin adds a top menu with tag pill based menu entries.\n\nThe [[top menu|$:/plugins/tongerner/topmenu/topmenu]] needs to be populated with entries in the form:\n\n```\n{{tagpill1||$:/plugins/tongerner/topmenu/menu-template}}\n{{tagpill2||$:/plugins/tongerner/topmenu/menu-template}}\n.\netc.\n```\n\n<<<\n''Note:''<br>''This plugin needs my $:/plugins/tongerner/layout_adjustment plugin for general layout settings (available at http://tongerner.tiddlyspot.com/).''\n<<<\n\nSettings for the layout can be found in ''~ControlPanel > Appearance > [[Plugin tweaks|$:/plugins/tongerner/layout_adjustment/tweaks]]''.\n",
            "title": "$:/plugins/tongerner/topmenu/readme",
            "tags": "",
            "modifier": "TonGerner",
            "modified": "20160925111038113",
            "creator": "TonGerner",
            "created": "20150701112855953"
        }
    }
}

\define tag-styles()
background-color:$(backgroundColor)$;
fill:$(foregroundColor)$;
color:$(foregroundColor)$;
\end

\define tag-body-inner(colour,fallbackTarget,colourA,colourB)
<$set name="foregroundColor" value=<<contrastcolour target:"""$colour$""" fallbackTarget:"""$fallbackTarget$""" colourA:"""$colourA$""" colourB:"""$colourB$""">>>
<$set name="backgroundColor" value="""$colour$""">
<$button popup=<<qualify "$:/state/popup/tag">> class="tc-btn-invisible tc-tag-label" style=<<tag-styles>>>
<$transclude tiddler={{!!icon}}/> <$view field="title" format="text" />
</$button>
<$reveal state=<<qualify "$:/state/popup/tag">> type="popup" position="below" animate="yes"><div class="tc-drop-down tc-menu-drop-down">

<$list filter="[all[current]tagging[]nsort[slideorder]]" template="$:/core/ui/ListItemTemplate"/>
</div>
</$reveal>
</$set>
</$set>
\end

\define tag-body(colour,palette)
<span class="tc-tag-list-item">
<$macrocall $name="tag-body-inner" colour="""$colour$""" fallbackTarget={{$palette$##tag-background}} colourA={{$palette$##foreground}} colourB={{$palette$##background}}/>
</span>
\end

<$macrocall $name="tag-body" colour={{!!color}} palette={{$:/palette}}/>

<div class="tgc-topmenu">
{{Digital Methods and Monadic Thinking||$:/plugins/tongerner/topmenu/menu-template}}
{{Demonstrations||$:/plugins/tongerner/topmenu/menu-template}}
{{Resources||$:/plugins/tongerner/topmenu/menu-template}}
</div>
<!--
A top menu with 2 'dummy' tag pills is shown above.
Replace the dummy tags with your own tags and add more lines if needed.
-->

{
    "tiddlers": {
        "$:/core/ui/TopBar/menu": {
            "created": "20140906123741743",
            "creator": "TonGerner",
            "text": "<$reveal state=\"$:/state/sidebar\" type=\"match\" text=\"yes\">\n<$button set=\"$:/state/sidebar\" setTo=\"fluid-width\" tooltip=\"Fluid-width\" class=\"tc-btn-invisible\">{{$:/core/images/right-arrow}}</$button>\n</$reveal>\n\n<$reveal state=\"$:/state/sidebar\" type=\"match\" text=\"fluid-width\">\n<$button set=\"$:/state/sidebar\" setTo=\"no\" tooltip={{$:/language/Buttons/HideSideBar/Hint}} aria-label={{$:/language/Buttons/HideSideBar/Caption}} class=\"tc-btn-invisible\">{{$:/core/images/chevron-right}}</$button>\n</$reveal>\n\n<$reveal state=\"$:/state/sidebar\" type=\"match\" text=\"no\">\n<$button set=\"$:/state/sidebar\" setTo=\"yes\" tooltip={{$:/language/Buttons/ShowSideBar/Hint}} aria-label={{$:/language/Buttons/ShowSideBar/Caption}} class=\"tc-btn-invisible\">{{$:/core/images/chevron-left}}</$button>\n</$reveal>\n",
            "modified": "20150719161036493",
            "modifier": "TonGerner",
            "tags": "$:/tags/TopRightBar",
            "title": "$:/core/ui/TopBar/menu"
        },
        "$:/plugins/tongerner/tristate/stylesheet": {
            "text": "<pre><<if-fluid \"\n\n.tc-story-river {\n     width: calc(100% - {{!!sidebar-width}});\n}\n\n.tc-tiddler-frame {\n     width: 100%;\n}\n\n.tc-sidebar-scrollable {\n     float: right;\n     width: {{!!sidebar-width}};\n     left: auto;\n     padding: 71px 0 0 0;\n}\n\n.tc-storyview-zoomin-tiddler {\n     position: absolute;\n     display: block;\n     width: 100%;\n     width: calc(100% - 84px);\n}\n\">>\n</pre>",
            "created": "20140907193809552",
            "creator": "TonGerner",
            "list-after": "$:/themes/tiddlywiki/vanilla/base",
            "modified": "20160114201035074",
            "modifier": "TonGerner",
            "sidebar-width": "30em",
            "tags": "$:/tags/Stylesheet",
            "title": "$:/plugins/tongerner/tristate/stylesheet"
        },
        "$:/plugins/tongerner/tristate/settings": {
            "created": "20140907193931322",
            "creator": "TonGerner",
            "text": "!!Tristate settings\n<table class=\"tablestyle\">\n<<tableRow \"Sidebar width \" \"$:/plugins/tongerner/tristate/stylesheet\" \"sidebar-width\">>\n</table>\nYou can use CSS units like `em`, `px` or `%`.",
            "caption": "Tristate",
            "modified": "20170405111506035",
            "modifier": "TonGerner",
            "tags": "$:/tags/plugin-tweaks",
            "title": "$:/plugins/tongerner/tristate/settings",
            "order": "10"
        },
        "$:/plugins/tongerner/tristate/readme": {
            "created": "20140907194057629",
            "creator": "TonGerner",
            "text": "This plugin is meant for widescreen monitors.<br>It changes the standard 'twostate' ({{$:/core/images/chevron-right}} / {{$:/core/images/chevron-left}}) functionality of the Sidebar to a 'tristate' ({{$:/core/images/right-arrow}} / {{$:/core/images/chevron-right}} / {{$:/core/images/chevron-left}}) functionality:\n\n# normal tiddler width (default 686px) with a broad Sidebar (showing {{$:/core/images/right-arrow}}).\n# small Sidebar (with programmable width; default 30em) and fluid tiddler width (showing {{$:/core/images/chevron-right}}).\n# fluid tiddler width without Sidebar (showing {{$:/core/images/chevron-left}}).\n\n<<<\n''Note:''\n\n* ''This plugin needs my $:/plugins/tongerner/layout_adjustment plugin for general layout settings (available at http://tongerner.tiddlyspot.com/).''\n* Sidebar layout (''~ControlPanel > Appearance > Theme Tweaks: Options'') @@color:red;must@@ be set at 'Fixed story, fluid sidebar'<br>('Fluid story, fixed sidebar' interferes with the Tristate plugin!)\n* The Sidebar width (default 30em) can be configured in [[Tristate width|$:/plugins/tongerner/tristate/settings]] (can also be found in ''~ControlPanel > Appearance > [[Plugin tweaks|$:/plugins/tongerner/tristate/settings]], tab 'Tristate''').\n<<<\n",
            "modified": "20160925113441419",
            "modifier": "TonGerner",
            "title": "$:/plugins/tongerner/tristate/readme"
        },
        "$:/plugins/tongerner/tristate/icon": {
            "text": "<?xml version=\"1.0\" encoding=\"UTF-8\" standalone=\"no\"?>\n<svg\n   xmlns:dc=\"http://purl.org/dc/elements/1.1/\"\n   xmlns:cc=\"http://creativecommons.org/ns#\"\n   xmlns:rdf=\"http://www.w3.org/1999/02/22-rdf-syntax-ns#\"\n   xmlns:svg=\"http://www.w3.org/2000/svg\"\n   xmlns=\"http://www.w3.org/2000/svg\"\n   version=\"1.1\"\n   id=\"svg2\"\n   viewBox=\"0 0 99.212598 99.212598\"\n   height=\"28mm\"\n   width=\"28mm\">\n  <defs\n     id=\"defs4\" />\n  <metadata\n     id=\"metadata7\">\n    <rdf:RDF>\n      <cc:Work\n         rdf:about=\"\">\n        <dc:format>image/svg+xml</dc:format>\n        <dc:type\n           rdf:resource=\"http://purl.org/dc/dcmitype/StillImage\" />\n        <dc:title></dc:title>\n      </cc:Work>\n    </rdf:RDF>\n  </metadata>\n  <g\n     transform=\"translate(0,-953.14961)\"\n     id=\"layer1\">\n    <path\n       d=\"m 48.98237,1051.0187 -41.9831281,-24.239 -1.3e-6,-48.47796 41.9831264,-24.23897 41.983128,24.23897 10e-7,48.47796 z\"\n       id=\"path4142\"\n       style=\"fill:#a0a0ff;fill-opacity:1;stroke:#a0a0ff;stroke-width:1.22180152;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1\" />\n    <path\n       d=\"m 45.122785,979.61449 c -1.800233,2.02271 -3.943359,4.46302 -4.772013,5.38631 l -1.48589,1.71475 3.314702,0 3.286123,0 -0.05727,10.37688 -0.08577,10.39867 -2.028809,0.066 c -1.400181,0.043 -2.114547,-0.029 -2.314573,-0.2187 -0.171533,-0.1525 -0.571499,-1.1872 -0.914392,-2.2866 -0.600077,-1.8247 -2.428861,-6.15559 -4.514857,-10.55271 -0.48579,-0.96732 -1.714496,-3.05565 -2.743204,-4.66075 -1.057288,-1.58265 -1.914521,-2.9457 -1.914521,-3.0119 0,-0.0662 1.028708,-0.10936 2.285993,-0.10936 1.257314,0 2.285994,-0.0892 2.285994,-0.19859 0,-0.0892 -1.000129,-0.92328 -2.200285,-1.80254 -4.343411,-3.18775 -8.058165,-5.05648 -12.001495,-6.11187 -3.028967,-0.79146 -3.971938,-0.87925 -3.543307,-0.30766 0.171533,0.21873 0.828683,0.83522 1.48589,1.38493 4.343411,3.62752 12.058654,15.45523 14.944725,22.86425 0.857262,2.2641 1.914521,5.4081 1.857391,5.6499 -0.02878,0.089 0,0.2648 0.02878,0.3957 0.114259,0.3958 0.200026,0.8574 0.228519,1.473 l 0.05727,0.6156 4.571987,0 4.572016,0 0,13.8505 0,13.8501 3.00036,0 3.000388,0 0,-13.8501 0,-13.8505 4.571987,0 4.571987,0 0,-0.5715 c 0,-0.8355 1.543049,-5.6062 2.714625,-8.4423 1.600207,-3.75927 3.286123,-6.88112 6.343641,-11.62993 3.657595,-5.69398 6.343641,-9.01354 9.029715,-11.19023 1.142997,-0.90112 1.142997,-0.92328 0.457181,-0.92328 -2.200285,0 -7.258061,1.78066 -10.658472,3.73746 -3.000388,1.71475 -7.086615,4.59484 -6.886589,4.85847 0.114259,0.10937 1.200155,0.19859 2.45744,0.19859 l 2.314573,0 -1.628786,2.35253 c -1.343023,1.95651 -4.400541,7.25504 -4.400541,7.65049 0,0.0662 -0.714366,1.78095 -1.543048,3.8034 -0.857262,2.0226 -1.800233,4.4411 -2.085968,5.3644 l -0.542919,1.7147 -2.343152,0 -2.371732,0 0,-10.44273 0,-10.44279 3.086097,0 c 1.714496,0 3.171835,-0.0662 3.257544,-0.13239 0.200026,-0.1324 -8.80111,-10.48654 -9.172582,-10.59648 -0.142752,-0.0432 -1.714495,1.60481 -3.514728,3.62752 l 0,0 z\"\n       id=\"path4763\" />\n  </g>\n</svg>\n",
            "created": "20160109193157153",
            "creator": "TonGerner",
            "modified": "20160109193201374",
            "modifier": "TonGerner",
            "title": "$:/plugins/tongerner/tristate/icon",
            "type": "image/svg+xml"
        },
        "$:/core/ui/PageTemplate/sidebar": {
            "text": "<$scrollable fallthrough=\"no\" class=\"tc-sidebar-scrollable\">\n\n<div class=\"tc-sidebar-header\">\n\n<$reveal state=\"$:/state/sidebar\" type=\"nomatch\" text=\"no\" default=\"no\">\n\n<h1 class=\"tc-site-title\">\n\n<$transclude tiddler=\"$:/SiteTitle\" mode=\"inline\"/>\n\n</h1>\n\n<div class=\"tc-site-subtitle\">\n\n<$transclude tiddler=\"$:/SiteSubtitle\" mode=\"inline\"/>\n\n</div>\n\n{{||$:/core/ui/PageTemplate/pagecontrols}}\n\n<$transclude tiddler=\"$:/core/ui/SideBarLists\" mode=\"inline\"/>\n\n</$reveal>\n\n</div>\n\n</$scrollable>",
            "created": "20150719161218144",
            "modified": "20150719161221992",
            "tags": "$:/tags/PageTemplate",
            "title": "$:/core/ui/PageTemplate/sidebar"
        },
        "$:/plugins/tongerner/tristate/fluid-width-macro": {
            "created": "20140907193724930",
            "text": "\\define if-fluid(text)\n<$reveal state=\"$:/state/sidebar\" type=\"match\" text=\"fluid-width\" default=\"yes\">$text$</$reveal>\n\\end",
            "creator": "TonGerner",
            "modified": "20150719181713169",
            "modifier": "TonGerner",
            "tags": "$:/tags/Macro",
            "title": "$:/plugins/tongerner/tristate/fluid-width-macro"
        },
        "$:/state/sidebar": {
            "created": "20160725112947956",
            "creator": "TonGerner",
            "text": "yes",
            "title": "$:/state/sidebar",
            "modifier": "TonGerner",
            "modified": "20170504103155457"
        }
    }
}

{
    "tiddlers": {
        "$:/plugins/tongerner/uptoolbar/icon": {
            "text": "<?xml version=\"1.0\" encoding=\"UTF-8\" standalone=\"no\"?>\n<svg\n   xmlns:dc=\"http://purl.org/dc/elements/1.1/\"\n   xmlns:cc=\"http://creativecommons.org/ns#\"\n   xmlns:rdf=\"http://www.w3.org/1999/02/22-rdf-syntax-ns#\"\n   xmlns:svg=\"http://www.w3.org/2000/svg\"\n   xmlns=\"http://www.w3.org/2000/svg\"\n   version=\"1.1\"\n   id=\"svg2\"\n   viewBox=\"0 0 99.212598 99.212598\"\n   height=\"28mm\"\n   width=\"28mm\">\n  <defs\n     id=\"defs4\" />\n  <metadata\n     id=\"metadata7\">\n    <rdf:RDF>\n      <cc:Work\n         rdf:about=\"\">\n        <dc:format>image/svg+xml</dc:format>\n        <dc:type\n           rdf:resource=\"http://purl.org/dc/dcmitype/StillImage\" />\n        <dc:title></dc:title>\n      </cc:Work>\n    </rdf:RDF>\n  </metadata>\n  <g\n     transform=\"translate(0,-953.14961)\"\n     id=\"layer1\">\n    <path\n       d=\"m 48.98237,1051.0187 -41.9831281,-24.239 -1.3e-6,-48.47796 41.9831264,-24.23897 41.983128,24.23897 10e-7,48.47796 z\"\n       id=\"path4142\"\n       style=\"fill:#a0a0ff;fill-opacity:1;stroke:#a0a0ff;stroke-width:1.22180152;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1\" />\n    <path\n       d=\"m 52.666692,989.92076 c -0.16326,4e-5 -0.326587,-0.0621 -0.4511,-0.18658 l -4.509773,-4.50977 c -0.248659,-0.24867 -0.249017,-0.65286 4.7e-5,-0.90191 0.248555,-0.24857 0.652855,-0.2491 0.90189,-4e-5 l 4.058757,4.05875 4.058767,-4.05875 c 0.248659,-0.24868 0.652827,-0.24902 0.901891,4e-5 0.248555,0.24857 0.249082,0.65286 3.7e-5,0.90191 l -4.509763,4.50977 c -0.124325,0.12429 -0.28752,0.18658 -0.450771,0.18662 z\"\n       id=\"path5111\" />\n    <g\n       style=\"fill-rule:evenodd\"\n       transform=\"matrix(0.08578465,0,0,0.08578465,63.601047,982.03136)\"\n       id=\"g5174\">\n      <path\n         d=\"m 116.87006,45.343146 -8,0 0,0 0,16 8,0 0,-16 z m 8,0 2.77982,0 c 4.41622,0 8.00697,3.581722 8.00697,8 0,4.409287 -3.58484,8 -8.00697,8 l -2.77982,0 0,-16 z m -24,0 -85.206232,0 c -0.15739,0 -0.31372,0.0045 -0.468864,0.01352 l 0,0 c -0.132164,-0.009 -0.266685,-0.01352 -0.403566,-0.01352 -8.1097883,0 -23.1345438,8 -23.1345438,8 0,0 15.1992913,8 23.1345438,8 0.135255,0 0.268256,-0.0046 0.399,-0.01379 0.156655,0.0091 0.314508,0.01379 0.47343,0.01379 l 85.206232,0 0,-16 0,0 z\"\n         transform=\"matrix(0.70710678,-0.70710678,0.70710678,0.70710678,-19.074639,60.636039)\"\n         id=\"path5176\" />\n      <path\n         d=\"m 35.17146,124.18954 c 6.788026,-0.57614 13.897317,-2.27191 23.68841,-5.34726 1.825569,-0.5734 3.570821,-1.13676 6.335901,-2.04 16.000515,-5.2267 21.877713,-6.80737 28.745676,-7.14656 8.357103,-0.41273 13.853723,2.12965 17.579033,8.69933 1.08968,1.92168 3.53088,2.59615 5.45257,1.50647 1.92169,-1.08969 2.59616,-3.53089 1.50647,-5.45257 -5.33337,-9.40554 -13.74461,-13.29603 -24.932684,-12.74349 -7.875173,0.38893 -14.056845,2.05148 -30.835158,7.53226 -2.738265,0.89448 -4.459691,1.45015 -6.249108,2.0122 -19.459921,6.1123 -30.771102,7.07235 -39.59709,1.74718 -1.891519,-1.14125 -4.350063,-0.53304 -5.491313,1.35848 -1.14125,1.89152 -0.533037,4.35006 1.358482,5.49131 6.332867,3.82095 13.753984,5.11979 22.438811,4.38265 z\"\n         id=\"path5178\" />\n    </g>\n    <g\n       style=\"fill-rule:evenodd\"\n       transform=\"matrix(0.08043333,0,0,0.08043333,79.586306,982.02816)\"\n       id=\"g5241\">\n      <path\n         d=\"M 65.086426,75.409163 14.972735,125.52285 c -3.12114,3.12114 -8.1916864,3.12637 -11.3158807,0.002 -3.11783728,-3.11784 -3.1232219,-8.19049 0.00217,-11.31588 L 53.772717,64.095454 3.6590264,13.981764 C 0.53788659,10.860624 0.53265992,5.7900774 3.6568543,2.6658831 6.7746915,-0.45195412 11.847341,-0.45733875 14.972735,2.6680552 L 65.086426,52.781746 115.20012,2.6680552 c 3.12114,-3.12113975 8.19168,-3.12636643 11.31588,-0.00217 3.11783,3.1178372 3.12322,8.1904868 -0.002,11.3158808 L 76.400314,64.095456 126.514,114.20915 c 3.12114,3.12114 3.12637,8.19168 0.002,11.31588 -3.11784,3.11783 -8.19049,3.12322 -11.31588,-0.002 l -50.113694,-50.113685 0,0 z\"\n         id=\"path5243\" />\n    </g>\n    <text\n       id=\"text5253\"\n       y=\"1011.8265\"\n       x=\"7.6785707\"\n       style=\"font-style:normal;font-weight:normal;font-size:17.5px;line-height:125%;font-family:sans-serif;letter-spacing:0px;word-spacing:0px;fill:#000000;fill-opacity:1;stroke:none;stroke-width:1px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"\n       xml:space=\"preserve\"><tspan\n         y=\"1011.8265\"\n         x=\"7.6785707\"\n         id=\"tspan5255\">Title</tspan></text>\n  </g>\n</svg>\n",
            "created": "20160109202813012",
            "modified": "20160109202815353",
            "title": "$:/plugins/tongerner/uptoolbar/icon",
            "type": "image/svg+xml"
        },
        "$:/plugins/tongerner/uptoolbar/readme": {
            "text": "The 'uptoolbar' (toolbar-title) plugin sets the tiddler toolbar above the tiddler title to create more room for toolbar and title.\n\n<<<\n''Note:''<br>''This plugin needs my $:/plugins/tongerner/layout_adjustment plugin for general layout settings (available at http://tongerner.tiddlyspot.com/).''\n<<<\n\nSettings for the layout can be found in ''~ControlPanel > Appearance > [[Plugin tweaks|$:/plugins/tongerner/layout_adjustment/tweaks]]''.",
            "title": "$:/plugins/tongerner/uptoolbar/readme",
            "modified": "20160925110959368",
            "created": "20150731163208701"
        },
        "$:/plugins/tongerner/uptoolbar/settings": {
            "created": "20160112095112052",
            "modified": "20170405111249598",
            "text": "!!Tiddler toolbar settings\n<table class=\"tablestyle\">\n<<tableRow \"Spacing title &harr; toolbar\" \"$:/plugins/tongerner/uptoolbar/styles\" \"title-toolbar-spacing\">>\n<<tableRow \"Size of tiddler buttons\" \"$:/plugins/tongerner/uptoolbar/styles\" \"tiddler-button-size\">>\n<<tableRow \"Button spacing 'Tiddler toolbar'\" \"$:/plugins/tongerner/uptoolbar/styles\" \"tiddler-button-spacing\">>\n</table>\n<$button message=\"tm-open-window\" param=\"$:/plugins/tongerner/uptoolbar/settings-help\" tooltip=\"Help\" aria-label=\"Help\">Help</$button>",
            "tags": "$:/tags/plugin-tweaks",
            "title": "$:/plugins/tongerner/uptoolbar/settings",
            "caption": "Toolbar - title",
            "order": "9"
        },
        "$:/plugins/tongerner/uptoolbar/settings-help": {
            "created": "20150731163314026",
            "text": "<<<\n''Note:''<br>You can enter CSS values in all allowed units, e.g. `%`, `px`, or `em`.\n<<<\n\n|Entry |Description |Default |h\n|Spacing title &harr; toolbar |Space between toolbar and title of tiddler | 1.3em |\n|Size of tiddler buttons |Size of tiddler buttons | 0.6em |\n|Button spacing 'Tiddler toolbar' |Spacing between buttons of tiddler toolbar | 0px |",
            "caption": "Toolbar-title",
            "modified": "20150809180354950",
            "title": "$:/plugins/tongerner/uptoolbar/settings-help"
        },
        "$:/plugins/tongerner/uptoolbar/styles": {
            "created": "20150804181039184",
            "text": "<pre>/* TITLE - TOOLBAR SPACING */\nhtml .tgc-tiddler-title-space {\n     line-height: {{!!title-toolbar-spacing}}; \n}\n\n/* SIZE OF TIDDLER BUTTONS */\nhtml .tc-tiddler-controls button svg {\n     height: {{!!tiddler-button-size}};\n}\n\n/* SPACE BETWEEN TIDDLER BUTTONS */\nhtml .tc-tiddler-controls button {\n     margin-left: {{!!tiddler-button-spacing}};\n}\n</pre>",
            "list-after": "$:/themes/tiddlywiki/vanilla/base",
            "modified": "20160407163439859",
            "tags": "$:/tags/Stylesheet",
            "tiddler-button-size": "0.6em",
            "tiddler-button-spacing": "0px",
            "title": "$:/plugins/tongerner/uptoolbar/styles",
            "title-toolbar-spacing": "1.3em"
        },
        "$:/core/ui/ViewTemplate/title": {
            "created": "20150809181336849",
            "title": "$:/core/ui/ViewTemplate/title",
            "tags": "$:/tags/ViewTemplate",
            "text": "\\define title-styles()\nfill:$(foregroundColor)$;\n\\end\n\\define config-title()\n$:/config/ViewToolbarButtons/Visibility/$(listItem)$\n\\end\n<div class=\"tc-tiddler-title\">\n<div class=\"tc-titlebar\">\n<span class=\"tc-tiddler-controls\">\n<$list filter=\"[all[shadows+tiddlers]tag[$:/tags/ViewToolbar]!has[draft.of]]\" variable=\"listItem\"><$reveal type=\"nomatch\" state=<<config-title>> text=\"hide\"><$transclude tiddler=<<listItem>>/></$reveal></$list>\n</span>\n<$set name=\"tv-wikilinks\" value={{$:/config/Tiddlers/TitleLinks}}>\n<$link>\n<div class=\"tgc-tiddler-title-space\">&nbsp;</div>\n<$set name=\"foregroundColor\" value={{!!color}}>\n<span class=\"tc-tiddler-title-icon\" style=<<title-styles>>>\n<$transclude tiddler={{!!icon}}/>\n</span>\n</$set>\n<$list filter=\"[all[current]removeprefix[$:/]]\">\n<h2 class=\"tc-title\" title={{$:/language/SystemTiddler/Tooltip}}>\n<span class=\"tc-system-title-prefix\">$:/</span><$text text=<<currentTiddler>>/>\n</h2>\n</$list>\n<$list filter=\"[all[current]!prefix[$:/]]\">\n<h2 class=\"tc-title\">\n<$view field=\"title\"/>\n</h2>\n</$list>\n</$link>\n</$set>\n</div>\n\n<$reveal type=\"nomatch\" text=\"\" default=\"\" state=<<tiddlerInfoState>> class=\"tc-tiddler-info tc-popup-handle\" animate=\"yes\" retain=\"yes\">\n\n<$transclude tiddler=\"$:/core/ui/TiddlerInfo\"/>\n\n</$reveal>\n</div>",
            "modified": "20160407163356430"
        }
    }
}

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yes

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no

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no

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show

show

yes

yes

no

contents

no

yes

readme

contents

contents

contents

911sitenotes

producer-approach

producer-type

hide

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no

yes

hide

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visible

visible

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visible

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visible

$:/core/ui/TiddlerInfo/Tools

$:/core/ui/AdvancedSearch/Standard

$:/core/ui/TiddlerInfo/Fields

$:/core/ui/TiddlerInfo/Tagging

$:/core/ui/ControlPanel/StoryView

$:/plugins/tongerner/tristate/settings

$:/core/ui/ControlPanel/Basics

$:/core/ui/TiddlerInfo/References

$:/core/ui/ControlPanel/Plugins/Installed/Plugins

$:/core/ui/TiddlerInfo/Advanced

$:/plugins/eucaly/popuptagger/tab-taggroup

$:/core/ui/ControlPanel/Info

$:/core/ui/TiddlerInfo/Tagging

$:/core/ui/TiddlerInfo/References

$:/core/ui/MoreSideBar/Shadows

$:/core/ui/SideBar/Recent

$:/core/ui/SideBar/Recent

$:/core/ui/SideBar/Tools

$:/plugins/tongerner/toolbar/toolbar-display

close

close

close

close

close

close

no

stevesuny

The buttons in the toolbar can be switched on/off in ''ControlPanel > Appearance > Toolbars > Top toolbar''.
The default - programmed - order is according to the list below.  Drag and drop to change the ordering.

* $:/plugins/tongerner/toolbar/toggle-sidebar
* $:/plugins/tongerner/toolbar/advanced-search-button
* $:/plugins/tongerner/toolbar/home-button
* $:/plugins/tongerner/toolbar/full-screen-button
* $:/plugins/tongerner/toolbar/refresh-button
* $:/plugins/tongerner/toolbar/close-all-button
* $:/plugins/tongerner/toolbar/controlpanel-button
* $:/plugins/tongerner/toolbar/sidebar-button
* $:/plugins/tongerner/toolbar/import-button
* $:/plugins/tongerner/toolbar/export-page-button
* $:/plugins/tongerner/toolbar/list-all-button
* $:/plugins/tongerner/toolbar/list-recent-button
* $:/plugins/tongerner/toolbar/list-open-tiddlers-button
* $:/plugins/tongerner/toolbar/list-untagged-tiddlers-button
* $:/plugins/tongerner/toolbar/new-journal-button
* $:/plugins/tongerner/toolbar/new-template-tiddler-button
* $:/plugins/tongerner/toolbar/new-tiddler-button
* $:/plugins/tongerner/toolbar/theme-button
* $:/plugins/tongerner/toolbar/palette-button
* $:/plugins/tongerner/toolbar/storyview-button
* $:/plugins/tongerner/toolbar/toggle-sticky-button
* $:/plugins/tongerner/toolbar/toggle-editortoolbar-button
* $:/plugins/tongerner/toolbar/toggle-preview-button
* $:/plugins/tongerner/toolbar/fold-all-button
* $:/plugins/tongerner/toolbar/unfold-all-button
* $:/plugins/tongerner/toolbar/permaview-button
* $:/plugins/tongerner/toolbar/save-wiki-button
* $:/plugins/tongerner/toolbar/toggle-tagging-button
* $:/plugins/tongerner/toolbar/rename-tags-button
* $:/plugins/tongerner/toolbar/tiddler-manager-button
* $:/plugins/tongerner/toolbar/tag-handling-button
* $:/plugins/tongerner/toolbar/corrupt-tiddler-button
* $:/plugins/tongerner/toolbar/search-delete-tiddlers-button
* $:/plugins/tongerner/toolbar/more-toolbar-actions

Additional buttons can become available when my 'tiddlersbar' or 'tabstory' plugin is used:

"""
$:/plugins/tongerner/tiddlersbar/button
$:/plugins/tongerner/tabstory/button
"""

<<<
''Note:''<br>To let $:/plugins/tongerner/tiddlersbar/button and/or $:/plugins/tongerner/tabstory/button show up in in ''ControlPanel > Appearance > Toolbars > Top toolbar'', they need to be tagged with $:/tags/TopLeftBar!
<<<

j

Project Pitch

ProjectPitch

loaded

master

A flag hanging in the damaged Pentagon became a symbol of the Marine Corps' strength.

AZSites LLC.

Add-on

Add-on

Appropriating

Arab American Journal posted Attorney General's statement regarding Arabs and Muslims

Articles categorized by source on the Evergreen State College library site.

Assisting

Battery Park City's site links helpful information to its residents about environmental concerns caused by debris from the 9/11 attacks.

Battery Park City's site links helpful information to its residents about environmental concerns caused by debris from the 9/11 attacks.

Battery Park City's site links helpful information to its residents about environmental concerns caused by debris from the 9/11 attacks.

Branch

Branch

Branch

British Prime Minister Tony Blair's webpage spelled out the case against Osama bin Laden.

British Prime Minister Tony Blair's webpage spelled out the case against Osama bin Laden.

Business

Business

Challenges for Scholars Using Web Archives

Challenges for Scholars Using Web Archives

Demo 2: Identifying and analyzing archived Web pages

Demo 2: Identifying and analyzing archived Web pages

Demo 2: Identifying and analyzing archived Web pages

Demo 3: Integrating TiddlyWiki with the ODU Toolkit

Demo 3: Using the toolkit with WAIL

Descriptions and photos of the missing were posted online.

Dr. Muqtedar Khan published article demanding Muslims step up and not tolerate extemist activity and expand their perspectives.

Draft of '911 Blogs To Explore'

Draft of 'Demo 1: Assessing and Presenting Data'

Draft of 'Demo 1: Producer Actions in the post-September 11 Web Sphere'

Draft of 'Reflections on #dmi17'

Educational

Engaging in Web Sphere Analysis using Monadic Thinking

Ethnic

Gallery of symbolic quilts that were donated to raise money for the Families of Freedom Scholarship Fund.

Gallery of symbolic quilts that were donated to raise money for the Families of Freedom Scholarship Fund.

Hoover Institution hosts articles from Hoover fellows condemning the terrorist attacks.  A quote from Abraham Sofaer from The San Fransico Chronicle article is shown.

Hosting

Identify and Define Analysis Tags

Jon Anhold hosts a cartoon showing us how the attacks have pulled the country together and made it stronger.

Jon Anhold hosts a cartoon showing us how the attacks have pulled the country together and made it stronger.

Jon Anhold hosts a television screen shot of CNN's live coverage of the terrorist attacks.

Learning Hypertextually

Links to resources for those looking to volunteer, donate money, or need assistance.

On her official homepage, Senator Hillary Rodham Clinton made useful information available to those who wished to assist others after the tragedy.

On her official website, Senator Hillary Rodham Clinton posted the text of her statements in Congress commemorating the efforts of New Yorkers who responded to the tragedy.

Photo

Reading Hypertextually

Reflecting

Sites listed hotline phone numbers in New York City to help find the missing.

Splash page of the Why Project - a site devoted to art about the attacks.

Splash page of the Why Project - a site devoted to art about the attacks.

Teaching Hypertextually

Text in this webshot describes the materials and structural system of the Twin Towers.  A graphic illustrates a typical floor plan within the building.

Text in this webshot suggests one possible explantion as to why the supports of the building collapsed after the planes hit the Twin Towers.

Text

The Ahlul Bayt Digital Islamic Library Project showed how Palestinian children shared America's grief after the tragedy.

The Lonely Planet, publisher of travel guides, hosted a discussion board devoted to the topic of September 11.

The Westboro Baptist Church posted information about its protests in the wake of September 11. The group blamed tolerance of homosexuality for causing the tragedy.

The Women's International League for Peace and Freedom posted contact information to combat discrimination following Septmeber 11.

Thinking Hypertextually

This graphic illustrates what engineers think may have caused the steel structure of the World Trade Center to collapse.

This webshot displays a link to an explanation of why the World Trade Center may have collapsed from the perspective of engineers.

This webshot displays a portion of the meeting minutes for Battery Park City's Residents Association.  Questions are answered about rent for tenants displaced by damage from 9/11, repairs and cleaning of apartments, and when apartments will be ready for occupancy.

This webshot provides general information about the engineering and construction of the Twin Towers.

This webshot provides general information about the engineering and construction of the Twin Towers.

This webshot provides general information about the engineering and construction of the Twin Towers.

Unknown

Writing Hypertextually

appropriating

appropriating

text

xymphora.blogspot.com

xymphora.blogspot.com

$:/_ExcelImporter/ImportSpecifiers/Field 40

$:/themes/tongerner/emphasized

{
    "tiddlers": {
        "$:/themes/tiddlywiki/heavier/base": {
            "title": "$:/themes/tiddlywiki/heavier/base",
            "tags": "[[$:/tags/Stylesheet]]",
            "text": "\\rules only filteredtranscludeinline transcludeinline macrodef macrocallinline\n\nhtml body strong,\nhtml body button.tc-tiddlylink,\nhtml body a.tc-tiddlylink,\nhtml body a.tc-tiddlylink-shadow,\nhtml body .tc-menu-list-count {\n\tfont-weight: 700;\n}\n\nhtml body h1,\nhtml body h2,\nhtml body h3,\nhtml body h4,\nhtml body h5,\nhtml body h6,\nhtml body a.tc-tiddlylink-shadow.tc-tiddlylink-resolves,\nhtml body button.tc-tag-label,\nhtml body span.tc-tag-label,\nhtml body .tc-sidebar-header .tc-title a.tc-tiddlylink-resolves,\nhtml body .tc-site-title,\nhtml body .tc-titlebar,\nhtml body .tc-subtitle,\nhtml body .tc-tiddler-missing .tc-title,\nhtml body .tc-tab-buttons button,\nhtml body .tc-tiddler-frame .tc-tiddler-body {\n\tfont-weight: 500;\n}\n\nhtml body .tc-view-field-name {\n\tfont-weight: 400;\n}\n"
        }
    }
}

{
    "tiddlers": {
        "$:/themes/tiddlywiki/punch/base": {
            "title": "$:/themes/tiddlywiki/punch/base",
            "tags": "[[$:/tags/Stylesheet]]",
            "text": "\\rules only filteredtranscludeinline transcludeinline macrodef macrocallinline\n\n@media screen {\n\n@media (min-width: {{$:/themes/tiddlywiki/vanilla/metrics/sidebarbreakpoint}}) {\n\n\tbody.tc-body .tc-story-river {\n\t\tpadding: 0;\n\t}\n\n}\n\nbody.tc-body .tc-tiddler-frame {\n\tborder: 0;\n\tmargin-bottom: 0;\n\tmin-height: 1000px;\n}\n\nbody.tc-body .tc-tiddler-frame > a {\n\ttext-decoration: none;\n\tcolor: <<color foreground>>;\n}\n\nbody.tc-body .tc-tiddler-frame .tc-tiddler-body {\n\ttext-align: center;\n\tmax-width: 850px;\n\tmargin-left: auto;\n\tmargin-right: auto;\n\tmargin-top: -70px;\n}\n\nbody.tc-body .tc-tiddler-frame .tc-tiddler-body ul,\nbody.tc-body .tc-tiddler-frame .tc-tiddler-body ol,\nbody.tc-body .tc-tiddler-frame .tc-tiddler-body p {\n\tfont-size: 27px;\n\tline-height: 1.5;\n}\n\nbody.tc-body .tc-tiddler-frame .tc-tiddler-body ul,\nbody.tc-body .tc-tiddler-frame .tc-tiddler-body ol {\n\ttext-align: left;\n}\n\nbody.tc-body .tc-tiddler-frame .tc-tiddler-body pre, body.tc-body .tc-tiddler-frame .tc-tiddler-body code {\n\tfont-size: 18px;\n\ttext-align: left;\n\tbackground: #121;\n\tcolor: #fff;\n}\n\nbody.tc-body .tc-tiddler-controls button svg {\n\twidth: 20px;\n\theight: 20px;\n}\n\nbody.tc-body .tc-tiddler-view-frame .tc-titlebar, body.tc-body .tc-tiddler-view-frame .tc-topbar {\n\t<<transition \"opacity 200ms ease-in-out\">>\n\topacity: 0;\n}\n\nbody.tc-body .tc-tiddler-view-frame .tc-titlebar:hover, body.tc-body .tc-tiddler-view-frame .tc-topbar:hover {\n\topacity: 1;\n}\n\nbody.tc-body .tc-tiddler-view-frame .tc-titlebar {\n\tfont-size: 20px;\n}\n\nbody.tc-body .tc-tiddler-view-frame .tc-titlebar h2 {\n\tfont-size: 10px;\n}\n\nbody.tc-body .tc-tiddler-view-frame .tc-subtitle, body.tc-body .tc-tiddler-view-frame .tc-tags-wrapper {\n\tdisplay: none;\n}\n\nbody.tc-body h1 {\n\tfont-weight: 700;\n\tfont-size: 60px;\n}\n\nbody.tc-body h2, body.tc-body h3, body.tc-body h4 {\n\tfont-weight: 400;\n}\n\nbody.tc-body h2 {\n\tfont-size: 35px;\n}\n\nbody.tc-body h3 {\n\tfont-size: 24px;\n}\n\nbody.tc-body .tc-tiddler-frame .tc-tiddler-body .tc-diatribe {\n\tmax-height:85vh;\n\t-moz-columns:3;\n\t-webkit-columns:3;\n\tcolumns:3;\n\tfont-size: 10px;\n}\n\n\nbody.tc-body .tc-tiddler-frame .tc-tiddler-body .tc-diatribe p {\n\tmargin: 0 0 0.5em 0;\n}\n\nbody.tc-body .tc-tiddler-frame .tc-tiddler-body .tc-diatribe ul,\nbody.tc-body .tc-tiddler-frame .tc-tiddler-body .tc-diatribe ol,\nbody.tc-body .tc-tiddler-frame .tc-tiddler-body .tc-diatribe p {\n\tfont-size: 10px;\n\ttext-align: left;\n}\n\n} /* @media screen */\n\n"
        }
    }
}

{
    "tiddlers": {
        "$:/themes/tiddlywiki/readonly/styles.tid": {
            "title": "$:/themes/tiddlywiki/readonly/styles.tid",
            "tags": "[[$:/tags/Stylesheet]]",
            "text": "\\rules only filteredtranscludeinline transcludeinline macrodef macrocallinline\n\nsvg.tc-image-new-button, svg.tc-image-options-button, svg.tc-image-save-button, svg.tc-image-edit-button, svg.tc-image-delete-button, svg.tc-image-cancel-button, svg.tc-image-done-button {\n\tdisplay: none;\t\n}\n"
        }
    }
}

{
    "tiddlers": {
        "$:/themes/tiddlywiki/tight-heavier/base": {
            "title": "$:/themes/tiddlywiki/tight-heavier/base",
            "tags": "[[$:/tags/Stylesheet]]",
            "text": "\\rules only filteredtranscludeinline transcludeinline macrodef macrocallinline\n"
        }
    }
}

50px

yes

Background_1.png

<$reveal state="$:/themes/tiddlywiki/vanilla/options/stickytitles" type="match" text="yes">
``
.tc-tiddler-title {
     position: -webkit-sticky;
     position: -moz-sticky;
     position: -o-sticky;
     position: -ms-sticky;
     position: sticky;
     top: ``{{!!top-sticky-title}}``;
     background: ``<<colour tiddler-background>>``;
     z-index: 500;
}
.tc-editor-toolbar {
     position: -webkit-sticky;
     position: -moz-sticky;
     position: -o-sticky;
     position: -ms-sticky;
     position: sticky;
     top: ``{{!!top-sticky-editor-toolbar}}``;
     background: ``<<colour tiddler-background>>``;
     z-index: 500;
}
``
</$reveal>

{
    "tiddlers": {
        "$:/themes/tongerner/emphasized/icon": {
            "text": "<svg width=\"22pt\" height=\"22pt\" viewBox=\"0 0 128 128\">\n    <g fill-rule=\"evenodd\">\n        <path d=\"M29.4078519,91.4716406 L51.4693474,69.4101451 L51.4646675,69.4054652 C50.5969502,68.5377479 50.5929779,67.1348725 51.4693474,66.2585029 C52.3396494,65.3882009 53.7499654,65.3874786 54.6163097,66.2538229 L64.0805963,75.7181095 C64.9483136,76.5858268 64.9522859,77.9887022 64.0759163,78.8650718 C63.2056143,79.7353737 61.7952984,79.736096 60.9289541,78.8697517 L60.9242741,78.8650718 L60.9242741,78.8650718 L38.8627786,100.926567 C36.2518727,103.537473 32.0187578,103.537473 29.4078519,100.926567 C26.796946,98.3156614 26.796946,94.0825465 29.4078519,91.4716406 Z M60.8017407,66.3810363 C58.3659178,63.6765806 56.3370667,61.2899536 54.9851735,59.5123615 C48.1295381,50.4979488 44.671561,55.2444054 40.7586738,59.5123614 C36.8457866,63.7803174 41.789473,67.2384487 38.0759896,70.2532832 C34.3625062,73.2681177 34.5917646,74.3131575 28.3243876,68.7977024 C22.0570105,63.2822473 21.6235306,61.7636888 24.5005999,58.6166112 C27.3776691,55.4695337 29.7823103,60.4247912 35.6595047,54.8320442 C41.5366991,49.2392972 36.5996215,44.2825646 36.5996215,44.2825646 C36.5996215,44.2825646 48.8365511,19.267683 65.1880231,21.1152173 C81.5394952,22.9627517 59.0022276,18.7228947 53.3962199,38.3410355 C50.9960082,46.7405407 53.8429162,44.7613399 58.3941742,48.3090467 C59.7875202,49.3951602 64.4244828,52.7100463 70.1884353,56.9943417 L90.8648751,36.3179019 L92.4795866,31.5515482 L100.319802,26.8629752 L103.471444,30.0146174 L98.782871,37.8548326 L94.0165173,39.4695441 L73.7934912,59.6925702 C86.4558549,69.2403631 102.104532,81.8392557 102.104532,86.4016913 C102.104533,93.6189834 99.0337832,97.9277545 92.5695848,95.5655717 C87.8765989,93.8506351 73.8015497,80.3744087 63.8173444,69.668717 L60.9242741,72.5617873 L57.7726319,69.4101451 L60.8017407,66.3810363 L60.8017407,66.3810363 Z M63.9533761,1.42108547e-13 L118.512977,32 L118.512977,96 L63.9533761,128 L9.39377563,96 L9.39377563,32 L63.9533761,1.42108547e-13 Z\"></path>\n    </g>\n</svg>",
            "title": "$:/themes/tongerner/emphasized/icon",
            "tags": "",
            "modifier": "TonGerner",
            "modified": "20170502102111322",
            "creator": "TonGerner",
            "created": "20170501180851393"
        },
        "$:/themes/tongerner/emphasized/readme": {
            "created": "20170501180836279",
            "creator": "TonGerner",
            "text": "A theme that emphasizes Titles.\n\n<<<\n''Note:''<br>My former Bluish theme contained colors (it was made a long time ago, before the palette was introduced).<br>The former Bluish theme has been divided now in the 'Emphasized' theme and the 'Bluish' palette.\n<<<",
            "title": "$:/themes/tongerner/emphasized/readme",
            "tags": "",
            "modifier": "TonGerner",
            "modified": "20170502162230481"
        },
        "$:/themes/tongerner/emphasized/styles": {
            "text": "\\define tversion(theme)\n<$list filter=\"[has[version]]+[prefix[$:/themes/tongerner/$theme$]]\"><$view field=\"version\"/>\n\\end\n\n<pre>/* ============ Emphasized theme v<<tversion \"emphasized\">> ============= */\n\n/* GENERAL STYLES */\n/* body prefix required! */\nbody.tc-body {\n     font-family: Verdana, Geneva, \"DejaVu Sans\", sans-serif;\n     color: <<colour \"foreground\">>;\n     background-color: <<colour \"page background\">>;\n}\n\n/* COLORS */\n.black {\n     color: <<colour \"black\">>;\n}\n\n.BLACK {\n     color: <<colour \"black\">>;\n     font-weight: bold;\n}\n\n.red {\n     color: <<colour \"red\">>;\n}\n\n.RED {\n     color: <<colour \"red\">>;\n     font-weight: bold;\n}\n\n.brown {\n     color: <<colour \"brown\">>;\n}\n\n.BROWN {\n     color: <<colour \"brown\">>;\n     font-weight: bold;\n}\n\n.blue {\n     color: <<colour \"blue\">>;\n}\n\n.BLUE {\n     color: <<colour \"blue\">>;\n     font-weight: bold;\n}\n\n.lightblue {\n     color: <<colour \"lightblue\">>;\n}\n\n/* TITLE STYLES */\n.tc-site-title, .tc-titlebar {\n     font-size: 2em;\n     font-weight: bold;\n     color: <<colour \"foreground\">>;\n     text-shadow: 2px 2px 4px <<colour \"very-muted-foreground\">>;\n     border-bottom: 2px solid <<colour \"tiddler-controls-foreground\">>;\n     margin-bottom: 0.4em;\n     padding-bottom: 11px;\n}\n\n.tc-titlebar {\n     font-size: 1.9em;\n     padding-top: 2px;\n}\n\n.tc-site-title {\n     padding-bottom: 14px;\n}\n\n/* HEADING STYLES */\nh1, h2, h3, h4, h5, h6 {\n     line-height: 1em;\n}\n\nh1 {\n     font-size: 1.3em;\n     font-weight: 700;\n}\n\nh2 {\n     font-size: 1.2em;\n     font-weight: 700;\n     margin-bottom:-.2em;\n     margin-top:1.2em;\n}\n\nh3 {\n     font-size: 1.1em;\n     font-weight: 700;\n     margin-bottom:-.4em;\n     margin-top:1.4em;\n}\n\nh4 {\n     font-size: 1.0em;\n     font-variant:small-caps;\n     font-weight: 700;\n     margin-bottom:-.6em;\n     margin-top:1.6em;\n}\n\n.tc-sidebar-header {\n     text-shadow: none;\n}\n\n/* TEXT STYLES */\n.smalltext {\n     font-size: 0.7em;\n}\n\n.monospace {\n     font-family: Inconsolata, Consolas, monospace, serif;\n}\n\n/* LINK STYLES */\na.tc-tiddlylink {\n     color: <<colour \"lightblue\">>;\n     font-weight: normal;\n}\n\na.tc-tiddlylink:hover {\n     text-decoration: underline;\n}\n\na.tc-tiddlylink-missing {\n     font-style: normal;\n     color: <<colour \"red\">>;\n}\n\na.tc-tiddlylink-shadow {\n     font-weight: bold;\n}\n\na.tc-tiddlylink-shadow.tc-tiddlylink-resolves {\n     font-weight: bold;\n     color: <<colour \"brown\">>;\n}\n\n/* TIDDLER FRAME STYLES */\n@media screen {\n     .tc-tiddler-frame {\n          background-color: <<colour \"tiddler-background\">>;\n          border-radius: 1em;\n          -moz-border-radius: 1em;\n          -webkit-border-radius: 1em;\n          <<box-shadow \"1px 1px 5px rgba(0, 0, 0, 0.3)\">>\n     }\n}\n\n@media (max-width: {{$:/themes/tiddlywiki/vanilla/metrics/sidebarbreakpoint}}) {\n     .tc-tiddler-frame {\n          <<box-shadow none>>\n     }\n}\n\n/* DROPDOWN STYLES */\n.tc-drop-down { border-radius: 4px;\n  -webkit-box-shadow: 2px 2px 10px rgba(0, 0, 0, 0.5);\n     -moz-box-shadow: 2px 2px 10px rgba(0, 0, 0, 0.5);\n          box-shadow: 2px 2px 10px rgba(0, 0, 0, 0.5);\n}\n\n.tc-block-dropdown { border-radius: 4px;\n  -webkit-box-shadow: 2px 2px 10px rgba(0, 0, 0, 0.5);\n     -moz-box-shadow: 2px 2px 10px rgba(0, 0, 0, 0.5);\n          box-shadow: 2px 2px 10px rgba(0, 0, 0, 0.5);\n}\n\n/* TABS*/\n\n.tc-tab-buttons {\n     margin-bottom: -1px;\n}\n\n.tc-tab-buttons button {\n     color: <<colour \"tab-foreground\">>;\n     background-color: <<colour \"tab-background\">>;\n     border: 1px solid <<colour \"tab-background-selected\">>;\n     border-radius: 0.3em;\n}\n\n.tc-tab-buttons button.tc-tab-selected {\n     font-weight: bold;\n     color: <<colour \"tab-foreground\">>;\n     background-color: <<colour \"tab-background-selected\">>;\n     border: 1px solid <<colour \"tab-border-selected\">>;\n     border-radius: 0.3em;\n}\n\n.tc-sidebar-lists .tc-tab-buttons button {\n     color: <<colour \"tab-foreground\">>;\n     background-color: <<colour \"tab-background\">>;\n     border: 1px solid <<colour \"tab-background-selected\">>;\n     border-radius: 0.3em;\n}\n\n.tc-sidebar-lists .tc-tab-buttons button.tc-tab-selected {\n     font-weight: bold;\n     color: <<colour \"tab-foreground\">>;\n     background-color: <<colour \"tab-background-selected\">>;\n     border: 1px solid <<colour \"tab-border-selected\">>;\n     border-radius: 0.3em;\n}\n\n.tc-more-sidebar > .tc-tab-set > .tc-tab-buttons > button {\n     background-image: none;\n     background-color: <<colour \"tab-background\">>;\n     border: 1px solid <<colour \"tab-background-selected\">>;\n}\n.tc-more-sidebar > .tc-tab-set > .tc-tab-buttons > button.tc-tab-selected {\n     background-image: none;\n     background-color: <<colour \"tab-background-selected\">>;\n     border: 1px solid <<colour \"tab-border-selected\">>;\n}\n\n/* Horizontal tab divider */\n.tc-sidebar-lists .tc-tab-divider {\n     border-top: 1px solid <<colour \"tab-background-selected\">>;\n}\n\n.tc-tiddler-info .tc-tab-buttons button.tc-tab-selected {\n     font-weight: bold;\n     background-color: <<colour \"tab-background-selected\">>;\n}\n\n/* BUTTON STYLES */\n.tc-page-controls svg {\n     fill: <<colour \"blue03\">>;\n}\n\n.tc-page-controls button:hover svg,\n.tc-page-controls a:hover svg {\n     fill: <<colour \"foreground\">>;\n}\n\n/* html prefix required!! */\nhtml .tc-tiddler-controls svg {\n     fill: <<colour \"blue03\">>;\n}\n\n.tc-tiddler-controls button.tc-btn-invisible:hover svg {\n     fill: <<colour \"foreground\">>;\n}\n.tc-sidebar-lists button.tc-btn-mini {\n     color: <<colour \"blue03\">>;\n     font-weight: bold;\n}\n\n.tc-sidebar-lists button.tc-btn-mini:hover {\n     fill: <<colour \"foreground\">>;\n     font-weight: bold;\n}\n\n.tc-topbar button svg {\n     fill: <<colour \"blue03\">>;\n}\n\n.tc-topbar button:hover svg {\n     fill: <<colour \"foreground\">>;\n}\n\n/* SIZE OF BUTTON IMAGES IN DOCUMENTATION */\n.tc-image-button {\n     height: 1.1em;\n}\n\n/* tiddler controls */\n.tc-tiddler-controls .tc-drop-down a,\n.tc-tiddler-controls .tc-drop-down button {\n     font-size: 0.9em;\n     font-weight: normal;\n}\n\n/* EDIT STYLES */\n/* font-size title in edit mode */\ninput.tc-edit-texteditor {\n     font-size: 1.3em;\n}\n\n/* font-size add tag */\n.tc-edit-add-tag .tc-add-tag-name input {\n     font-size: 1.0em;\n     width: 50%;\n}\n\n/* font-size add field & value */\n.tc-edit-field-add-name input.tc-edit-texteditor{\n     font-size: 1.0em;\n}\n.tc-edit-field-add-value input.tc-edit-texteditor{\n     font-size: 1.0em;\n}\n\n/* EDIT MODE */\ntextarea.tc-edit-texteditor, code, kbd, pre, samp {\n     font-family: Inconsolata, Consolas, monospace, serif;\n     font-size: 1em;\n}\n\ntextarea, input [type=\"text\"] {\n     color: <<colour \"foreground\">>;\n}\ninput.tc-titlebar.tc-edit-texteditor {\n     color: <<colour \"foreground\">>;\n}\n\n/* SIDEBAR STYLES */\n/* subtitle, date recent tiddlers, search heading + count, tag count, TW version */\n.tc-sidebar-header {\n     color: <<colour \"blue07\">>;\n}\n\n/* entries (links) in Sidebar tabs + X to close search */\n.tc-sidebar-lists a.tc-tiddlylink {\n     color: <<colour \"blue07\">>;\n     fill: <<colour \"blue07\">>;\n}\n\n.tc-sidebar-lists a.tc-tiddlylink:hover {\n     color: <<colour \"foreground\">>;\n     fill: <<colour \"foreground\">>;\n}\n\n/* BROWN OVERWRITTEN SHADOW TIDDLERS */\n.tc-sidebar-lists a.tc-tiddlylink-shadow.tc-tiddlylink-resolves {\n     font-weight: bold;\n     color: <<colour \"brown\">>;\n}\n\n/* Tools tab, button hint (+ Control panel) */\n.tc-muted {\n     color: <<colour \"blue07\">>;\n}\n\n/* search entries */\n.tc-sidebar-lists input {\n     color: <<colour \"foreground\">>;\n}\n\n/* TAG STYLES */\n/* DEFAULT COLOR TAG PILLS */\nbutton.tc-tag-label, span.tc-tag-label {\n     background-color: <<colour \"tag-background\">>;\n}\n\n/* TAGS DROPDOWN LISTS */\n.tc-tag-list-item .tc-drop-down a,\n.tc-drop-down button,\n.tc-sidebar-lists .tc-drop-down a,\n.tc-sidebar-lists .tc-drop-down button {\n     color: <<colour \"foreground\">>;\n     font-size: 1.0em;\n}\n\n.tc-tag-list-item .tc-drop-down a:hover,\n.tc-sidebar-lists .tc-drop-down a:hover {\n     color: <<colour \"background\">>;\n}\n\n/* MISC STYLES */\n/* MISSING TIDDLERS */\n.tc-sidebar-header .tc-missing-tiddler-label {\n     color: <<colour \"red\">>;\n}\n\n/* BLOCKQUOTE */\nblockquote {\n     border-left: 5px solid <<colour \"muted-foreground\">>;\n}\n\n/* SLIDER */\nhtml .tgc-slider {\n     color: <<colour \"blue\">>;\n     font-weight: bold;\n}\n\n.tgc-slider:hover {\n     color: <<colour \"blue\">>;\n     text-decoration: underline;\n}\n\n/* SLIDER TIDDLERS */\n.sliderBG {\n     color: <<colour \"darkblue\">>;\n     background-color: <<colour \"blue01\">>;\n}\n\n/* DROPDOWN MENU MORE */\n/* page controls */\n._tc-drop-down a, ._tc-drop-down button {\n     color: <<colour \"foreground\">>;\n     font-size: 0.7em;\n}\n\n/* OMIT SOLID BORDER-BOTTOM */\n.tc-keyboard .tc-titlebar {\n     border-bottom-style: none;\n}\n\n/* SAVE NOTIFICATION - shifted left */\n.tc-notification {\n     right: 72px;\n     background-color: <<colour \"background\">>;\n     border-radius: 6px;\n     <<box-shadow \"0 3px 7px rgba(0,0,0,0.3)\">>\n     text-shadow: 0 1px 0 rgba(255,255,255, 0.8);\n}\n\n</pre>",
            "title": "$:/themes/tongerner/emphasized/styles",
            "tags": "$:/tags/Stylesheet",
            "modifier": "TonGerner",
            "modified": "20170504161654544",
            "creator": "TonGerner",
            "created": "20170501180648530"
        }
    }
}

zoomin

<<endslideshow>>

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

https://web-beta.archive.org/web/20170302093154/http://web.archive.org/screenshot/http://1mc.blogspot.com/

<<select-list3>>

<$list filter="[each:list-item{$:/site-listing-by-attribute/level1}]"><br>
<div class="level1">
{{$:/site-listing-by-attribute/level1}}: <<currentTiddler>> 
<$set name="level1" value=<<currentTiddler>>>
<$macrocall $name="countTiddlers1" xlevel1={{$:/site-listing-by-attribute/level1}} level1=<<level1>>/>
<$appear show="show &raquo;" hide="&laquo; hide" $state="slider-buttons-level1">
<$list filter="[each:list-item{$:/site-listing-by-attribute/level2}]"><br>
{{$:/site-listing-by-attribute/level2}}: <<currentTiddler>>
<$set name="level2" value=<<currentTiddler>>>
<$macrocall $name="countTiddlers2" xlevel1={{$:/site-listing-by-attribute/level1}} xlevel2={{$:/site-listing-by-attribute/level2}} level1=<<level1>> level2=<<level2>>/>
<$appear show="show &raquo;" hide="&laquo; hide" $state="slider-buttons-level2">
<$list filter="[each:list-item{$:/site-listing-by-attribute/level3}]"><br>
{{$:/site-listing-by-attribute/level3}}: <<currentTiddler>>
<$set name="level3" value=<<currentTiddler>>>
<$macrocall $name="countTiddlers3" xlevel1={{$:/site-listing-by-attribute/level1}} xlevel2={{$:/site-listing-by-attribute/level2}} xlevel3={{$:/site-listing-by-attribute/level3}} level1=<<level1>> level2=<<level2>> level3=<<level3>>/>
<$appear show="show &raquo;" hide="&laquo; hide" $state="slider-buttons-level1"> 
<$macrocall $name="showTiddlers" xlevel1={{$:/site-listing-by-attribute/level1}} xlevel2={{$:/site-listing-by-attribute/level2}} xlevel3={{$:/site-listing-by-attribute/level3}} level1=<<level1>> level2=<<level2>> level3=<<level3>>/>
</$appear>

<ul>
<li>xymphora.blogspot.com</li>
<li>1mc.blogspot.com</li>
<li>torillsin.blogspot.com</li>
<li>crisis.blogspot.com</li>
<li>blogstalker.blogspot.com</li>
<li>blahblahblog.com</li>
<li>silent-type.blogspot.com</li>
<li>blowback.blogspot.com</li>
<li>evilfluffer.blogspot.com</li>
<li>wtc.blogspot.com</li>
<li>webvoice.blogspot.com</li>
</ul>

<div class="slide">

Project Goal: Explore blogs included in  Library of Congress September 11 Web Archive collection

* Tasks (using list of links)<$appear show="&raquo;" hide="&laquo;" $state="task">

# Identify closest blog entry to September 11
# Import into Wiki
# Add metadata
</$appear><br>
* Process <$appear show="&raquo;" hide="&laquo;" $state="process">

# Paste link in [[Wayback Machine|https://web-beta.archive.org]] <$appear show="&raquo;" hide="&laquo;" $state="links">{{911 Blog Links}}</$appear>
# Examine responses
# Drag/drop archival URL as appropriate
# Tag ``911-processing``
# Save & Process
# Add metadata
## Date of first blog post after September 11
## One-word descriptions of content

</$appear>
</div>

<div class="slide">
Overview of 911blogs with metadata
</div>
<div class="level2"><<TagGrid RowFilter:"[tag[FirstPostDate]]" ColumnFilter:"[tag[911Content]]" InputTiddlers:"[tag[911blog]]" ShowColumnTitle:true UseTagPills:true class:tag-grid-default cells:"blog-cells">>
</div>

<$list filter="[is[current]tag[911blog]]">
<$macrocall $name="show-ia-blog" page={{!!title}}/>
<<dox "[[911blog templates]]">>
</$list>

<$list filter="[is[current]tag[911blog-processing]]">
<$button>
Process blog site
<$action-setfield $field="arcurl" $value={{!!text}}/>
<$action-setfield $field="text" $value=""/>
<$action-listops $tags="+911blog -911blog-process"/>
</$button>
<<dox "[[911blog templates]]">>
</$list>

<$list filter="[is[current]tag[911site]]">

This dataset includes <$count filter="[tag[911sitenote]field:producer-name{!!producer-name}]"/> pages produced by produced by {{!!producer-name}}<br>
[[Producer type|producer-type]]: {{!!producer-type}}<br>
[[Producer approach|producer-approach]]: {{!!producer-approach}}<br>
<br>
<$list filter="[tag[911sitenote]field:producer-name{!!producer-name}]">
<$link to=<<currentTiddler>>>{{$:/plugins/tongerner/toolbar/images/sidebar-button}}</$link><<currentTiddler>>
<$appear class="appearbuttons" show="show &raquo;" hide="&laquo; hide" $state="slider-buttons-level1">
<$macrocall $name="get-ia-page" page={{!!title}}/>
</$appear>
<br>
</$list>

<$list filter="[is[current]tag[911sitenote]]">
<<show-ia-page>>

<h2>A Web page</h2> a document in html format that is responsive to an http:// request
<h2> that anyone can write</h2>with modest technical skills
<h2>...but not that anyone can edit</h2>so not collaboratively written

* Modest barrier to entry
* DIY / ~MakerSpace / Code
* Multi-disciplinary (humanities, social sciences, mathematics, natural sciences)
* Useful at all [[points in the digital text cycle|Digital Text Cycles]], as well as in full production mode

* A monad is a highly specific point of view – this or that entity – on all the other entities present in the dataset
* ''Monads are constructed through shared tags'' or other metadata associated with objects, frequently viewed as profiles. 
** Not a part of a whole, but a point of view on all the other entities taken severally and not as a totality. 
* A monad may be operationalized by deploying navigation through digital profiles rendering objects as collections of attributes

* A network is not a second level added to that of the individual. An individual is not a second level added to that of a network.
** Each are exactly the same level differently deployed. 
** It is unnecessary to specify individuals and aggregates as distinctive levels
* The concept of a profile enables us to see that 
** the set of attributes associated with an entity – the network – may be grasped as an envelope – the actor – that encapsulates its content in one shorthand notation
** ''entities are defined by the open-ended lists of attributes in databases''. 
* These definitions are reversible
** An actor is defined by its network
** A network is defined by its actors

<div class="level2">
Step 1: Enter tag to identify analysis objects:<br></div>
<$edit-text tiddler="$:/keytag-entered-demo2" field="text" default="Enter tag to identify analysis objects" tag="input" size="25" type="text"/><br>

<div class="level2">
Step 2: Confirm selection<br>
</div>
<$button>
<$action-setfield $tiddler="$:/keytag-demo2" text={{$:/keytag-entered-demo2}}/>
Set {{$:/keytag-entered-demo2}} as tag identifying analysis objects
</$button>

<div class="level2">
Step 3: Name and define fields to be added as metadata from pages included in dataset (use 911 fields as base)(add suffix to fieldnames to make them uniq)
</div>


<div class="level2">
<$list filter="[tag{$:/keytag-set}first[]]">
<$set name="example-note" value=<<currentTiddler>>>
<$list filter="[<currentTiddler>fields[]sort[]]">
<hr>
<div class="level2">
Fieldname: <$macrocall $name="tag" tag=<<currentTiddler>>/><br>
</div>
<div class="level3">
Example value: <$view tiddler=<<example-note>> field=<<currentTiddler>>/><br>
Current Definition:<br>
<$edit-text tiddler=<<currentTiddler>> field="text" default="Enter definition" tag="input" size="140" type="text"/><br>
Check <$checkbox tiddler=<<currentTiddler>> tag="analysis-field"> to use in <<tag "AnalysisTools">></$checkbox><br>
<$button>Copy <<currentTiddler>> field to {{$:/keytag-demo2}} analysis</$button><br>
</div>
</$list>

* Word, Docs, Text editors, PDF
* PowerPoint, Slides
* Enhances Excel, Sheets
* Database (SQL) programs?
* Content Management Systems, Site Generators, Dreamweaver, etc.
* http://alternativeto.net/software/tiddlywiki/

<div class="tc-titlebar">

* Dataset in xlsx file (downloaded from [[google sheets|https://drive.google.com/file/d/0B6pMEe8dCtrQdHljYzFVMHFaWkU/view?usp=sharing]])
** 347 observed pages from 78 different sites
** Sampled from September 11 Web Archive Library of Congress collection of analyzed sites (see [[Project Report|http://www.webarchivist.org/911_final_report.pdf]])
** Analyzed by SUNY Poly students in graduate seminar on Web analysis methods
</div>

This project explores the use of TiddlyWiki, a wiki with a distinctive data model integrating code and content within a single-page HTML file, as a tool for monadic exploration of data.

* The notion of monadic exploration, drawn and [[Latour et al (20012)|The whole is always smaller than its parts]] and [[Dörk et al (2014)|Monadic Exploration]], “brings the contradictory representations of individual  elements and entire collections closer together and suggests continuous movements between partially overlapping vantage points.” 
* Much of the work in monadic exploration has focused on visualization; in this project, we begin with an initial focus using hypertextualization techniques of tagging, linking and filtering to develop a text-based exploration of a data set. 
* [[TiddlyWiki|What is TiddlyWiki?]], the tool chosen to develop this exploration, affords the opportunity to create an interface to a knowledge base integrating research objects, source material, and narrative description of the monadic exploration. 
* As a case study, we will focus on archived Web pages and objects from the days and weeks following the September 11 terrorist attacks in the United States.

<div class="tc-titlebar">

* Authoring/analysis platform (~TiddlyWiki)
** Shared code for importing data, capturing and maintaining metadata, re-presenting Web pages, generating reports
* External data files (spreadsheets)
* Archived Web pages (Internet Archive)
</div>

\define newtiddlertitle() $(rowtag)$ $(coltag)$


Process:

Create tiddlers named with tags of row and column, with fields row and column having the names of the tags

Row: <$edit-text tiddler="$:/rowtag" tag="input" type="text"/><br>
Col:<$edit-text tiddler="$:/coltag" tag="input" type="text"/><br>


Create Tiddlers:




<$button>
Create from {{$:/rowtag}} and {{$:/coltag}}:<br>
<$list filter="[tag{$:/rowtag}]">
<$set name=rowtag value=<<currentTiddler>>>
<$list filter="[tag{$:/coltag}]">
<$set name=coltag value=<<currentTiddler>>>
<<newtiddlertitle>><br>
<$action-setfield $tiddler=<<newtiddlertitle>> tags="TableTiddlers" row=<<rowtag>> col=<<coltag>> color="green"/>
<br>
</$set>
</$list>
</$set>
</$list>
</$button>

<div class="level2">
<ul>
<li>Click on numbers in table cells to navigate to descriptions of and links to subsets of the  <$count filter="[tag[911sitenote]]"/> analyzed objects in the current dataset.</li>
<li>Select attributes from the pulldowns to set the rows and columns of the table.</li>
<li>Numbers in table identify how many analyzed pages share characteristics indicated by a cell's row label and column heading.</li>
</ul>
<<select-grid2>>
</div>
<<TagGrid RowFilter:"[tag{$:/grid-rows}]" ColumnFilter:"[tag{$:/grid-cols}]" InputTiddlers:"[tag[911sitenote]]" ShowColumnTitle:true UseTagPills:true class:tag-grid-default cells:"cells">>

<div class="tc-titlebar">

* Create and import dataset
* Configuring Tools for Analysis
** [[Identify and Define Analysis Tags]]
</div>

<div class="slide">

* Dataset <$appear show="&raquo;" hide="&laquo;" $state="dataset">

* Dataset in xlsx file (downloaded from [[google sheets|https://drive.google.com/file/d/0B6pMEe8dCtrQdHljYzFVMHFaWkU/view?usp=sharing]])
* 347 observed pages from 78 different sites
* Sampled from September 11 Web Archive Library of Congress collection of analyzed sites (see [[Project Report|http://www.webarchivist.org/911_final_report.pdf]])
* Analyzed by SUNY Poly students in graduate seminar on Web analysis methods
</$appear><br>
* [[Monadic Exploration 1|Crosstab of Objects Sharing Two Characteristics]]
* [[Monadic Exploration 2|3-level listing of sites & pages]]
</div>

<div class="slide">

Project Goal: Explore blogs included in  Library of Congress September 11 Web Archive collection

* Tasks (using list of links)<$appear show="&raquo;" hide="&laquo;" $state="task">

# Identify closest blog entry to September 11
# Import into Wiki
# Add metadata
</$appear><br>
* Processes <$appear show="&raquo;" hide="&laquo;" $state="process">

# Paste link in [[Wayback Machine|https://web-beta.archive.org]] <$appear show="&raquo;" hide="&laquo;" $state="links">{{911 Blog Links}}</$appear>
# Examine responses
# Drag/drop archival URL as appropriate
# Tag ``911-processing``
# Save & Process
# Add metadata
## Date of first blog post after September 11
## One-word descriptions of content

</$appear>
</div>

<div class="level1">

* Install full [[ODU Toolkit|https://oduwsdl.github.io/nehdhig2017/]]
*# WAIL: One-Click User Instigated Preservation
*# WARCreate -  Create WARC files from any webpage
*# MINK: Integrating the Live and Archived Web Viewing Experience
* Process
*# Add metadata to local or stored collection
</div>

* Dataset: 382m images archived by Internet Archive from September 11, 2001 to October 10, 2001 (4.25m unique)
** Data: http://archive.org/~vinay/911-images/
** Wayback link for source page: web.archive.org/web/<source_html_timestamp>/<source_html_url>
** Wayback link for destination image: web.archive.org/web/2001/<destination_image_url>
* Process: Run command-line tools to parse for uniq images and other sets
** image name
** domain name
** shared images (the birth of viral images?)
** sequentially numbered (finding photographs: enormous expansion of uploaded photography during this period)
* Ingest and analyze, possibly with Google visual analyzers
* Tag and search for monads

<$list filter="[tag[Demonstrations]nsort[slideorder]]">
<$link><<currentTiddler>></$link><br>
</$list>

<div class="slide">

* [[Latour et al (2012)|The whole is always smaller than its parts]] traces //monadic thinking// to Tarde, and suggests that those utilizing digital methods may have the opportunity to treat entities and aggregates on one level, rather than conceptualizing them as distinctive levels of analysis.
* [[Dörk et al (2014)|Monadic Exploration]] operationalized Latour's conceptualization with a specific toolkit.
* [[TiddlyWiki|What is TiddlyWiki?]] provides a platform to support monadic exploration.
</div>

<$list filter="[tag{!!title}]

* When considering a wide range of phenomena (including communication artifacts), ''digital traces'' left by actors inside databases make it unnecessary to recognize fundamental differences between individual objects and the aggregate of objects.
* It may be possible to "account for longer lasting features of <<stretch "social order" "^^not just human agents but all entities treated severally^^">> by learning to ''navigate through overlapping 'monads''' instead of alternating between the two levels of individual and aggregate."

<$list filter="[is[current]tag[DoughertyWebImages]]">
<$macrocall $name="show-ia-blog" page={{!!title}}/>
<<dox "[[DoughertyWebImages template]]">>
</$list>

\define PopupTagger()
<$reveal state="$:/plugins/eucaly/popuptagger/config!!_active" type="nomatch" text="off" default="">
<$importvariables filter="[all[shadows+tiddlers]prefix[$:/plugins/eucaly/popuptagger/macros/]]">
<$set name="pptg-tool-base" value=<<InPlace>> >
	<<pptg-render>>
</$set>
</$importvariables>
</$reveal>
\end

\define PopupTaggerIf()
<$list filter=<<InPlace "view-filter">> variable="t1">
<$list filter="[<t1>is[current]!has[draft.of]first[]]" variable="t2">
	<<PopupTagger>>
</$list></$list>
\end

\define PopupTaggerAuto()
<$importvariables filter="[all[shadows+tiddlers]prefix[$:/plugins/eucaly/popuptagger/macros/]]">
<$set name="pptg-tool-base" value=<<InPlace>> >
<$list filter="[title<InPlace>!field:title<listItem>]" variable="test14">
<div class="tc-popuptagger-body">	<!-- body only -->
	<<pptg-debug "@@color:#080;(09-body-only)@@">>
	<<pptg-body>>
</div>
</$list>

<$list filter="[title<InPlace>field:title<listItem>]" variable="test23">
<div class="tc-popuptagger">		<!-- tagbar only -->
	<<pptg-debug "@@color:orange;(13-tagbar-only)@@">>
	<<pptg-tagbar>>
</div>
</$list>
</$set>
</$importvariables>
\end

\define PopupTaggerSwitch()
<span class="tc-popuptagger-switch">
<$reveal state="$:/plugins/eucaly/popuptagger/config!!_active" type="nomatch" text="off" default="">
<$button set="$:/plugins/eucaly/popuptagger/config!!_active" setTo="off" tooltip="Hide PopupTagger" class=<<tv-config-toolbar-class>> >{{$:/plugins/eucaly/popuptagger/img/tagOn}}</$button>
</$reveal>
<$reveal state="$:/plugins/eucaly/popuptagger/config!!_active" type="match" text="off" default="">
<$button set="$:/plugins/eucaly/popuptagger/config!!_active" setTo="on" tooltip="Show PopupTagger" class=<<tv-config-toolbar-class>> >{{$:/plugins/eucaly/popuptagger/img/tagOff}}</$button>
</$reveal>
</span>
\end

<$button to="$:/core/ui/SideBarLists" tooltip="Open the Sidebar tabs" class=<<tv-config-toolbar-class>>>
<$list filter="[<tv-config-toolbar-icons>prefix[yes]]">
{{$:/plugins/tongerner/toolbar/images/sidebar-button}}
</$list>
<$list filter="[<tv-config-toolbar-text>prefix[yes]]">
<$text text="sidebar"/>
</$list>
</$button>

<ul>
<li>xymphora.blogspot.com</li>
<li>1mc.blogspot.com</li>
<li>torillsin.blogspot.com</li>
<li>crisis.blogspot.com</li>
<li>blogstalker.blogspot.com</li>
<li>blahblahblog.com</li>
<li>silent-type.blogspot.com</li>
<li>blowback.blogspot.com</li>
<li>evilfluffer.blogspot.com</li>
<li>wtc.blogspot.com</li>
<li>webvoice.blogspot.com</li>
</ul>

!! [[Emphasized theme]]  v<<tversion "emphasized">>

''Status:'' @@.RED {{Emphasized theme!!status}} v<<version>>@@

<<readme $:/themes/tongerner/emphasized/readme $:/themes/tongerner/emphasized>>

<<<
''Note:''<br>This TW5 uses my Emphasized theme in combination with the Bluish palette.
<<<

Drag & drop the following link to your wiki to install the 'Bluish' palette:

* [[$:/palettes/Bluish]]

# Drag/drop page
# Rename & tag to match {{$:/keytag-entered}}

<$macrocall $name='cell-list'/>

```
Think about the technique of linking while writing in Word, or GMail. Copy the destination link, highlight the word to be linked, click ``Insert Hyperlink`` and paste the destination link. Or, more commonly, copy / paste the link as raw text, and hope for the best.
```

```
In ~WikiText, enclose a word or phrase in double brackets and [[it becomes a link]].
```
Enclose a word or phrase in double brackets and [[it becomes a link]].

!! [[Emphasized theme]]  v<<tversion "emphasized">>

''Status:'' @@.RED {{Emphasized theme!!status}} v<<version>>@@

<<readme $:/themes/tongerner/emphasized/readme $:/themes/tongerner/emphasized>>

<<<
''Note:''<br>This TW5 uses my Emphasized theme in combination with the Bluish palette.
<<<

Drag & drop the following link to your wiki to install the 'Bluish' palette:

* [[$:/palettes/Bluish]]

<div class="slide">


Web Sphere Analysis <$appear show="&raquo;" hide="&laquo;" $state="sphere">

* Web sphere: //a set of dynamically defined digital resources spanning multiple sites deemed relevant or related to a central event, concept, or theme//
* A conceptual lens enabling analysis of communicative actions and relations between producers and users
* Examines relations between producers and users potentiated and mediated by structural and feature elements
* Anticipates (at least) three levels of analyses generating metadata about web objects
<div class="level2">

|Type|Method of observation|# of objects observed|h
|Algorithmic|Machine code|Millions|
|Qualitative|Human|10s or 100s|
|//Quantitative//|Human|100s - 1000s|
</div>
</$appear><br>
The Challenge:<$appear show="&raquo;" hide="&laquo;" $state="challenge">

* Finding tools to navigate through the Web sphere associating objects (page resources, pages, sites, producers, etc.) with metadata
* Additional (editorial) challenges
** integrating editorial and analytic content
** supporting bibliographic and citation systems
** generating comprehensive archive for deposit
</$appear><br>
A Solution? <$appear show="&raquo;" hide="&laquo;" $state="solution">

* Consider [[Tiddlywiki|What is TiddlyWiki?]]
</$appear>
</div>

Engaging in the act of filtering involves manipulating the range of nodes (tiddlers) presented as possible choices that can be selected in a given context.

Essentially: there is a population (of tiddlers), and the filter tells us which to include in presented list of tiddlers. 

The output of filters in tiddlywiki are generally presented as lists of tiddlers. 

See:

* [[list-links Macro]] 
* ListWidget

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

<div class="slide">

! http://bit.do/schneider-dmss-2017




<h5>
Steven M. Schneider<br>
SUNY Polytechnic Institute<br>
Utica, NY USA<br>
steve@sunyit.edu [[@stevesunypoly|https://twitter.com/stevesunypoly]]
<br>

<h6><div class="tc-table-of-contents">
<<toc-selective-expandable 'TableOfContents' sort[slideorder]>>
</div>
</h6>

<div class="slide">

* DesignWriteStudio
** [[Open Class|https://designwritestudio.updog.co/summer2017.html]]
* TiddlyWiki Community
** [[TiddlyWiki|http://tiddlywiki.com]]
** [[Google Group|https://groups.google.com/forum/#!forum/tiddlywiki]]
* Collaborative Projects
** "Front end" Web Archive interfaces
** Dissertations, Monographs, Journal Articles
* Be in touch
** steve@sunyit.edu

<div class="slide">

* DesignWriteStudio <$appear show="&raquo;" hide="&laquo;" $state="studio">

** Stuff
</$appear><br>
* TiddlyWiki Community <$appear show="&raquo;" hide="&laquo;" $state="process">
** Stuff
</$appear><br>
</div>

\define hashtaglink() $(static-twitter1)$$(actual-hashtag)$$(static-twitter2)$


\define hashtag(actual-hashtag)
<$set name=static-twitter1 value="https://twitter.com/hashtag/">
<$set name=static-twitter2 value="?src=hash">
<$set name=actual-hashtag value=$actual-hashtag$>
hashtaglink: <<hashtaglink>><br>
actual-hashtag: <<actual-hashtag>>
<a href=<<hashtaglink>> target="_blank"><<actual-hashtag>></a>
\end

# [[Identify and Define Analysis Tags]]
# <$button>Delete <$count filter="[tag{$:/keytag-set}]"/> tiddlers filtered by ``$filter="`[tag{$:/keytag-set}]``, currently  ''{{$:/keytag-set}}''<$action-deletetiddler $filter="`[tag{$:/keytag-set}]"/></$button>
# <$button> Delete <$count filter="[prefix[Web pages tagged]]"/> tiddlers filtered by ``[prefix[Web pages tagged]]``<$action-deletetiddler $filter="`[prefix[Web pages tagged]]"/></$button>
# <$checkbox tiddler="showdox" field="visible-dox" checked="yes" unchecked="no" default="no">Show Dox</$checkbox>
# Play with <<tag AnalysisTools>>


<<dox "[[showdox]]">>

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

<$list filter="[tag{!!title}]">
<p><div class="level1"><$link><<currentTiddler>></$link></div>
<$appear show="&raquo;" hide="&laquo;" $state="dataset">
<div class="level2"><$transclude mode="block" field="text"/></div>
</$appear>
</p>
</$list>

<div class="level2">
Step 1: Enter tag to identify analysis objects:<br></div>
<$edit-text tiddler="$:/keytag-entered" field="text" default="Enter tag to identify analysis objects" tag="input" size="25" type="text"/><br>

<div class="level2">
Step 2: Confirm selection<br>
</div>
<$button>
<$action-setfield $tiddler="$:/keytag-set" text={{$:/keytag-entered}}/>
Set {{$:/keytag-entered}} as tag identifying analysis objects
</$button>


<div class="level2">
<ul>
<li>Current value of tag to identify objects to analyze is <$macrocall $name="tag" tag={{$:/keytag-set}}/></li>
<li>Use this form to enter definitions of fields</li>
<li>Values of fields in the first note tagged with {{$:/keytag-set}} are displayed as example values</li>
<li>Use checkboxes to add/remove fields for use by <<tag AnalysisTools>> to the list of  currently tagged fields <$appear show="&raquo;" hide="&laquo;" $state="showfields">
<ul>
<$list filter="[tag[analysis-field]]">
<li><$link><<currentTiddler>></$link>: {{!!text}}</li>
</$list>
</ul>
</$appear>

<hr>
<$list filter="[tag{$:/keytag-set}first[]]">
<$set name="example-note" value=<<currentTiddler>>>
<$list filter="[<currentTiddler>fields[]sort[]]">
<div class="level2">
Fieldname: <$macrocall $name="tag" tag=<<currentTiddler>>/><br>
</div>
<div class="level3">
Example value: <$view tiddler=<<example-note>> field=<<currentTiddler>>/><br>
Current Definition:<br>
<$edit-text tiddler=<<currentTiddler>> field="text" default="Enter definition" tag="input" size="140" type="text"/><br>
Check <$checkbox tiddler=<<currentTiddler>> tag="analysis-field"> to use in <<tag "AnalysisTools">></$checkbox><br>
<br>
</div>
</$list>

<$list filter="[import-spec-role[row]]">
<$link><<currentTiddler>></$link><br>
</$list>

<div class="tc-titlebar">

* Adding and maintaining metadata
* Re-presenting in context of metadata
* Integrating research writing and analysis tools
* Generating reliable citations
</div>

https://journals.tdl.org/jodi/index.php/jodi/article/view/171/485

!! [[Layout adjustment plugin]] v<<pversion "layout_adjustment">>

''Status:'' @@.RED {{Layout adjustment plugin!!status}} v<<version>>@@

<<readme $:/plugins/tongerner/layout_adjustment/readme $:/plugins/tongerner/layout_adjustment>>

Engaging in the technique of linking involves creating an opportunity to move, either within a text or to another text.

[[Live|https://designwritestudio.updog.co/projects/dmss-2017/tiddlywiki-as-monadic-exploration-tool.html]]

! Platform, Method, Interface
!! A TiddlyWiki-based monadic exploration of the post-September 11 Web

!! Wiki<br>http://bit.do/steve-dmss

!! Join the meeting (no audio, please)<br>https://zoom.us/j/561925928


Steve Schneider<br>
SUNY Polytechnic Institute<br>
Utica, NY USA<br>
steve@sunyit.edu<br>



<$list filter="[tag{!!title}sort[slideorder]]">
<p><div class="level1"><$link><<currentTiddler>></$link></div>
<$appear show="&raquo;" hide="&laquo;" $state="dataset">
<div class="level2"><$transclude mode="block" field="text"/></div>
</$appear>
</p>
</$list>

* "The experience of moving easily through profiles  makes clear that ''what is meant by" individuals and aggregates'' does not refer to different domains of reality but to different ways of navigating through data sets
* ‘Specific’ and ‘general’, ‘individual’ and ‘collective’, ‘actor’ and ‘system’ are not essential realities but provisional terms that ''depend rather on the ease with which it is possible to navigate through profiles and to envelop them inside their names''

* The //hyper// in //hypertext// means multi-dimensional.
* [[Nelson|Nelson: hyper, as in hyperspace, 1965]] meant "hypertext" to be compared to "hyperspace", and to invoke the sense of multiple dimensions, unseen, unseeable but mathematically postulated so therefore likely to exist.
* In science fiction, hyperspace refers to "a space or more than three dimensions"
* Hypertext, then, is text constructed in, and experienced in, more than the usual number of dimensions. 

<<show-ia-page http://web.archive.org/web/20010920004124_id/http://www.tcfatlanta.org/America1.html>>

* Software is licensed as open source
* Rich and active community support

# [[Principles of monadic thinking]] (0930-0945)
# [[Digital tools afford opportunities for monadic exploration]] (0945-1000)
# [[Web sphere analysis benefits from monadic exploration]] (1000-1015)
# [[The TiddlyWiki platform supports monadic exploration]] (1015-1045)
# [[Case study in monadic exploration: The September 11 Web Archive]] (1045-1115)
# [[Where to go from here]] (1115-1130)

<<PopupTaggerAuto>>

<$list filter="[tag{!!title}]">
<p><div class="level1"><$link><<currentTiddler>></$link></div>
<$appear show="&raquo;" hide="&laquo;" $state="dataset">
<div class="level2"><$transclude mode="block" field="text"/></div>
</$appear>
</p>
</$list>

<$list filter="[tag{!!title}sort[slideorder]]">
<p><div class="level1"><$link><<currentTiddler>></$link></div>
<$appear show="&raquo;" hide="&laquo;" $state="dataset">
<div class="level2"><$transclude mode="block" field="text"/></div>
</$appear>
</p>
</$list>

Quoted and paraphrased from <<stretch "Latour et al (2012)" "pp. 590-599" "<$transclude tiddler='The whole is always smaller than its parts' field='citation'/><$link to='The whole is always smaller than its parts'>&raquo;</$link>">>

! Platform, Method, Interface
!! A TiddlyWiki-based monadic exploration of the post-September 11 Web

!! http://bit.do/steve-dmss


Steve Schneider<br>
SUNY Polytechnic Institute<br>
Utica, NY USA<br>
steve@sunyit.edu<br>



<$list filter="[tag{!!title}sort[slideorder]]">
<p><div class="level1"><$link><<currentTiddler>></$link></div>
<$appear show="&raquo;" hide="&laquo;" $state="dataset">
<div class="level2"><$transclude mode="block" field="text"/></div>
</$appear>
</p>
</$list>

<div class="level2">Web Sphere Analysis</div>
<$list filter="[tag[Readings]tag[Web Sphere Analysis]]">
<p>
''<$link><<currentTiddler>></$link>''<br>
<$transclude/>
<<stretch "Citation" "{{!!citation}}">> <<stretch "Abstract" "<$link to={{!!pdf}}>pdf</$link>" "{{!!abstract}}" >>
</p>
</$list>
<div class="level2">Monadic Thinking</div>
<$list filter="[tag[Readings]tag[Monadic Thinking]]">
<p>
''<$link><<currentTiddler>></$link>''<br>
<$transclude/>
<<stretch "Citation" "{{!!citation}}">> <<stretch "Abstract" "<$link to={{!!pdf}}>pdf</$link>" "{{!!abstract}}" >>
</p>
</$list>
<div class="level2">Hypertext</div>
<$list filter="[tag[Readings]tag[Hypertext]]">
<p>
''<$link><<currentTiddler>></$link>''<br>
<$transclude/>
<<stretch "Citation" "{{!!citation}}">> <<stretch "Abstract" "<$link to={{!!pdf}}>pdf</$link>" "{{!!abstract}}" >>
</p>
</$list>

<$list filter="[is[current]tag[Readings]]">
<$list filter="[title<currentTiddler>]">
<<stretch "Citation" "{{!!citation}}">> <<stretch "Abstract" "<$link to={{!!pdf}}>pdf</$link>" "{{!!abstract}}" >>
</$list>
</$list>

Thoughts on  [[Platform Method Interface]] //Masterclasse// at [[#dmi17]]

Responses to @stevesunypoly or steve@sunyit.edu

!! It started here

* [[Masterclass]] 
* Then here [[Digital Methods and Monadic Exploration]]

!! To Dos for this wiki

* Rename and fork this wiki into [[Performance Method Interface]] wiki that uses the default tiddlywiki template. Much better on mobile. Encourages use through demo because interface is similar (using a non-standard theme on [[First Contact]] is a mistake).
* Manage missing tiddlers: <$appear><$list filter='[all[missing]]'><$link><<currentTiddler>></$link><br></$list>
* Highlight catalog of [[DesignWriteStudio]] projects in [[DesignWriteStudio Summer 2017|https://designwritestudio.updog.co/summer2017.html]]</$appear>
* Link to [[DesignWriteStudio]] more prominently


!!  Zoom

* Need to do more with Zoom. Should use it in Play segment to engage in live demo. Have participants navigate through information spaces as way of doing demos.
* Need to capture these talks (missed [[CIT 2017]] as well).


!! More tutorial

* Should have run masterclass as more of a tutorial on TiddlyWiki, but one that was steeped in theory in / about itself, in the reflexive-sort of hypertextual way. 

!! Include these demos

* More demos (each can be done via zoom by participant) (others can follow along)

* [[MyFirstWiki Exercise]] -- run demo via tiddlyspot, so everyone leaves with a tiddlyspot (email link to self with password)
* [[MySecondWiki]] -- person, place and thing (tagging and linking)(transclusion of title)(using macros list-links and tags)(demo in tiddlyspot)
* [[XLSX Import]] - especially since DMI loves spreadsheets
* [[Personal web archiving using Scrapbook Firefox Extension]] via timestamp 20170627203424 as well as using [[ODU ToolKit]].
* [[Vandendorpe Annotator]] as writeable text
* [[SUNY Poly Digital Media and Information Spring 2017]] as dynamic (live, in class) writeable class presentation tool, using Google Forms submission and xlsx import), and the future [[SUNY Poly American Politics Fall 2017]]  - a tiddlywikified version of an ePub, a [[Writeable Text]]
* [[Multidimensional Narratives]]
** [[PhotoEssay]]
** [[SerialWiki]]
** [[PaulBley]]


! Thoughts to integrate into talk next time
* Notion that TiddlyWiki is like [[Lotus123]] (a [[spreadsheet|Lotus123]] that was the [[first killer app|https://www.google.nl./search?q=lotus+123+killer+app&ie=utf-8&oe=utf-8&gws_rd=cr&ei=oatSWeOkM43OwAK94ZXYAg]]): a software platform that changed the way I think and organize information in a significant way. ([[HyperCard]]  should have been mentioned as well)(but not [[Emacs]] despite its elegance)
* The [[Data Information Knowledge]] three-legged stool. We import data (urls?)(raw objects?). Tagging turns it into information. Exploration of tags, and writing about it (defining tags, for example) creates knowledge.

!! Calibration of Exericses in [[DesignWriteStudio]]

* [[MyThirdWiki]] -- Importing images or audio as fixed-title tiddlers. Tag tiddlers. Write captions. Use templates and filters to allow monads to emerge. 
* [[MyFourthWiki]] -- Creating images using svg. Editing code by changing key words (shapes, size and color). Using ``<$list>`` to create filters using ``[tag[tag to filter]]`` and ``<<currentTiddler>>`` as a way of creating interactive texts that support monadic navigation -- text that gives readers navigation options, and displays textual data interactively (kind of like a visualization of text)

This great trick was shown to the tiddlywiki google group by [[Alberto Molina|https://groups.google.com/forum/#!topic/tiddlywiki/OCntQ79DuwM]]. I enhanced it a bit.

|!Search tag: | <$edit-text tiddler="$:/temp/RenameTags/search" tag="input" type="text"/> |
|!Replace by: | <$edit-text tiddler="$:/temp/RenameTags/replace" tag="input" type="text"/> |

---
<$reveal type="nomatch" text="" state="$:/temp/RenameTags/replace">

!First step
!!//Apply the tag <$tiddler tiddler={{$:/temp/RenameTags/replace}}><$transclude tiddler="$:/core/ui/TagTemplate"/></$tiddler> to the following tiddlers//
<$list filter="[!has[draft.of]tag{$:/temp/RenameTags/search}!tag{$:/temp/RenameTags/replace}sort[created]]">
<$checkbox tag={{$:/temp/RenameTags/replace}}> <$link to={{!!title}}><$view field="title"/></$link></$checkbox><br/>
</$list>
</$reveal>

<$reveal type="nomatch" text="" state="$:/temp/RenameTags/search">

!Second step
!!//Remove the tag <$tiddler tiddler={{$:/temp/RenameTags/search}}><$transclude tiddler="$:/core/ui/TagTemplate"/></$tiddler> from the following tiddlers//
<$list filter="[!has[draft.of]tag{$:/temp/RenameTags/search}tag{$:/temp/RenameTags/replace}sort[created]]">
<$checkbox tag={{$:/temp/RenameTags/search}}> ~~<$link to={{!!title}}><$view field="title"/></$link>~~</$checkbox><br/>
</$list>
</$reveal>

What kinds of traces or patterns can we discover within the collection of images posted to the web in the days and weeks following the 2001 terrorist attacks in the United States?

How can we use these patterns to generate narratives about the shared experience on the Web following the terrorist attacks?

How can these narratives shape our understanding of the terrorist attacks as we approach the 20th anniversary (2021) of the terrorist attacks?

Does the concept of monads help us understand the contours of a large dataset, and support the generation of narratives for exploration and explanation?

Does  the distinctive datastructure of TiddlyWiki enable social researchers to construct knowledge bases integrating data, analysis, discourse and supporting resources?

Does the distinctive datastructure of TiddlyWiki facilitate the deposit of social science knowledge bases into archives?

! September 11 Web Sphere
# {{Research Question 1}}
# {{Research Question 2}}
# {{Research Question 3}}

! Monadic Thinking and TiddlyWiki
# {{Research Question 4}}
# {{Research Question 5}}
# {{Research Question 6}}

* A single-page application (SPA) is a web application or web site that fits on a single web page with the goal of providing a user experience similar to that of a desktop application.
* All necessary code – HTML, JavaScript, and CSS – is 
** retrieved with a single page load, or
** appropriate resources are dynamically loaded and added to the page as necessary, usually in response to user actions. 
* Page/app does not reload at any point in the process, nor does control transfer to another page, although the location hash or the HTML5 History API can be used to provide the perception and navigability of separate logical pages in the application

>[[Wikipedia|https://en.wikipedia.org/wiki/Single-page_application]]

<table>
<tr><td>Level 1</td><td>Level 2</td><td>Level 3</td></tr>
<tr>
<td>
<$select tiddler='$:/site-listing-by-attribute/level1'>
<$list filter='[tag[Table Attributes]]'>
<option value=<<currentTiddler>>><$view field='title'/></option>
</$list>
</$select>
</td>
<td><$select tiddler='$:/site-listing-by-attribute/level2'>
<$list filter='[tag[Table Attributes]]'>
<option value=<<currentTiddler>>><$view field='title'/></option>
</$list>
</$select>
</td>
<td><$select tiddler='$:/site-listing-by-attribute/level3'>
<$list filter='[tag[Table Attributes]]'>
<option value=<<currentTiddler>>><$view field='title'/></option>
</$list>
</$select>
</td>
</tr>
</table>


<$list filter="[each:list-item{$:/site-listing-by-attribute/level1}]">
<h2><<currentTiddler>></h2>
<$list filter="[each:list-item{$:/site-listing-by-attribute/level2}]">
<b><<currentTiddler>></b>
<$list filter="[each:list-item{$:/site-listing-by-attribute/level3}]">
<<currentTiddler>> || 
</$list>
<br>
<br>
</$list>
</$list>

<table>
<tr><td>Level 1</td><td>Level 2</td><td>Level 3</td></tr>
<tr>
<td>
<$select tiddler='$:/site-listing-by-attribute/level1'>
<$list filter='[tag[Table Attributes]]'>
<option value=<<currentTiddler>>><$view field='title'/></option>
</$list>
</$select>
</td>
<td><$select tiddler='$:/site-listing-by-attribute/level2'>
<$list filter='[tag[Table Attributes]]'>
<option value=<<currentTiddler>>><$view field='title'/></option>
</$list>
</$select>
</td>
<td><$select tiddler='$:/site-listing-by-attribute/level3'>
<$list filter='[tag[Table Attributes]]'>
<option value=<<currentTiddler>>><$view field='title'/></option>
</$list>
</$select>
</td>
</tr>
</table>


<$list filter="[each:list-item{$:/site-listing-by-attribute/level1}]">
<h2><<currentTiddler>></h2>

<$reveal type="nomatch" state="show:count" text="show">
<$action-increment $tiddler=someTiddler $field=someField $increment=someIncrement/>


<$button set="$:/state/SampleReveal2" setTo="show">Show</$button>

</$reveal>
<$reveal type="match" state="$:/state/SampleReveal2" text="show">

<$button set="$:/state/SampleReveal2" setTo="hide">Hide</$button>

<$list filter="[each:list-item{$:/site-listing-by-attribute/level2}]">
<b><<currentTiddler>></b>
<$list filter="[each:list-item{$:/site-listing-by-attribute/level3}]">
<<currentTiddler>> || 
</$list>
<br>
<br>
</$list>
</$reveal>


</$list>

!! This dataset provides an opportunity to test the notions of monadic exploration suggested by Latour et al (2004) and Dörk et al (2010):


!! [[Demo 1: Producer Actions in the post-September 11 Web Sphere]]
!! [[Demo 2: Identifying and analyzing archived Web pages]]
!! [[Demo 3: Integrating TiddlyWiki with the ODU Toolkit]]

This is the first slide!

\define slideshow(slidetag)
<$set name="slidetag" value="$slidetag$">
<$button set="$:/state/sidebar" setTo="no"}} >
<$action-sendmessage $message="tm-close-all-tiddlers"/>
<$action-setfield $tiddler="$:/core/ui/ViewTemplate/next" tags="$:/tags/ViewTemplate"/>
<$action-setfield $tiddler="$:/core/ui/ViewTemplate/prev" tags="$:/tags/ViewTemplate"/>
<$action-setfield $tiddler="$:/view" text="zoomin"/>
<$list filter="[tag<slidetag>!sort[slideorder]]">
<$action-navigate $to=<<currentTiddler>> />
</$list>
<<slidetag>>
</$button>
</$set>
\end

\define endslideshow()
<$button set="$:/state/sidebar" setTo="no" class="tc-btn-invisible tc-tiddlylink">
<$action-listops $tiddler="$:/core/ui/ViewTemplate/next" $field="tags" $filter="[[]]"/>
<$action-listops $tiddler="$:/core/ui/ViewTemplate/prev" $field="tags" $filter="[[]]"/>
<$action-sendmessage $message="tm-close-all-tiddlers"/>
<$action-navigate $to="RESAW / IIPC 2017"/>
{{$:/core/images/close}}
</$button>
\end

\define lose-slideshow-buttons()
<$action-listops $tiddler="$:/core/ui/ViewTemplate/next" $field="tags" $filter="[[]]"/>
<$action-listops $tiddler="$:/core/ui/ViewTemplate/prev" $field="tags" $filter="[[]]"/>
{{$:/core/images/close}}
\end


Tiddlers with code/image links for slide show nav: 
<$transclude tiddler="DWS" mode="block"/>

<<slideshow slides>>

<<list-links filter:[tag{!!title}]>>

<$list filter="[is[current]tag[TableTiddlers]]">
There are <$count filter="[tag{!!row}tag{!!col}]"/> sites with these tags<hr>

<$list filter="[tag{!!row}tag{!!col}]">
<$link><<currentTiddler>></$link><br>
</$list>

Engaging in the act of tagging involves adding a tag to a tiddler.

<h2>Reading and writing hypertextually involves the following techniques</h2>

<$list filter="[tag{!!title}]">
<p><div class="level1"><$link><<currentTiddler>></$link></div>
<$appear show="&raquo;" hide="&laquo;" $state="dataset">
<div class="level2"><$transclude mode="block" field="text"/></div>
</$appear>
</p>
</$list>

Engaging in the act of templating involves creating a frameworks or set of instructions governing the display of information for a set of filtered tiddlers.

* Very thoughtful discussion of templating in [[Transclusion with Templates]]:

>Transcluding via a template is like applying a mask: assuming that the source tiddler contains generic references (like eye holes in a mask), these will be replaced with the target tiddlers values (like the eyes of the person who wears the mask).

!! The //text// in //hypertext// is a "corpus"
!! A text is a collection of objects (tiddlers) that share something (minimally: membership) with each other.
!! A hypertext is the set of objects that, collectively, comprise it.

* Wikipedia is a text.
* The Web is a text
* This Wiki is a text.


See [[Barnett2013MemoryMachines]] discussion of Nelson conception of "text"

<div class="level1">Four Words:
<$appear show="&raquo;" hide="&laquo;" $state="fourwords">
This presentation explores <<tag "Four Words">>  ( <$list filter="[tag[Four Words]]"><<currentTiddler>> </$list>) that comprise the terms ``Hypertext`` and ``TiddlyWiki``.
</$appear> 
<$list filter="[tag[Four Words]]">
<p><div class="level1"><$link><<currentTiddler>></$link></div>
<$appear show="&raquo;" hide="&laquo;" $state="dataset">
<div class="level2"><$transclude mode="block" field="text"/></div>
</$appear>
</p>
</$list>

Source: ?? Thomas Eis

@@border:1px solid crimson;padding:7px 15px;float:right;margin:0;
[[Version 0.8.4|TextStretch Versions]]
@@

!! ''Make text short and expandable''

The ''TextStretch'' macro is a great tool <<strex "for you as an author of hypertext">> to keep the message short. Your readers can discover more details easily.

{{TextStretch Tweet}}

!! Features and Syntax

''Compact and powerful.'' Want to hide some content? `<<strex magic>>` will stretch it out when the dots are clicked: <<strex magic>>. Use presets for simplicity or define your own styles and flavors. Tell stories using complex [[nested structures|TextStretch Transclusion Examples]] and transclusion.

!!! Full Syntax
`<<strex "content" "label" "start" "end" "class" "id">>` 

Try it: <<strex "content" "label" "start" "end" "class" "id">>

!!! Default Values

The first line of the [[macro|$:/_telmiger/strex]] reads 

```
\define strex(content:"TextStretch", label:"…", start:"[", end:"]", class:"", id="_false_")
```
If you prefer other <<strex """''presets:'' you can see the default values above, enclosed in "quotation marks" """ presets>>, I recommend to call strex from your own macro or adapt your copy of the `<<ref>>` shorthand in [[$:/_telmiger/ref]].<<ref "''ref'' could be your within-tiddler-reference standard. If you use this shorthand only, you can change your configuration in one single place anytime. You could even switch the ’motor‘ if you find a better macro than strex in the future.">><<ref "For more information on ''ref'' see [[TextStretch Variant Footnote]].">>


!! Parameters
Use quotation marks, if your parameter contains whitespace <<strex "e.g. &quot;your text&quot; or 'long label'">>. If you want to use the default value, you write "" or nothing.

; content
: Text you want to hide – you can use <<strex {{!!example-1}} transclusion>> and HTML <<strex "~HyperText Markup Language can help you to display <ul><li>characters like &quot;</li><li>lists</li><li>other elements …</li></ul>that otherwise are difficult to transclude." "(?)" "x" "?" "hint">>
; label
: Text on the button that <<strex "disappears after opening" opens>> the element.
; start //and// end
: Texts on the buttons which close the element <<strex "and are placed at the beginning/end of the //content//" … ^ $>>.
; class
: Classes can be appended here. There are [[examples|TextStretch Examples]] for predefined classes.
; id
: Control the activation of TextStretch elements defined in the same tiddler.<<strex "(hidden)" * * "" "nocontent noend" "id_1">> Elements with identical //id// open and close <<strex "at the same time" together "" "" "" "id_2">> which can be useful <<strex "or funny in rare cases." "…" "" "" "" "id_2">> Elements with identical //content// open together too. You can separate them using unique id’s. <<strex "An element that was transcluded or which is displayed in another open tiddler, will ''always'' open and close independently. Even if it has the same id. The reason is TiddlyWiki’s ''state handling:'' we use the standard [[qualify macro|http://tiddlywiki.com/#qualify%20Macro]] here." " * " "*" "close *" "blockinner" "id_1">> 


!! Installation

Backup your TiddliWiki <<strex "Version 5.1.9 or higher as it needs the VarsWidget that came with 5.1.9" "(5.1.9 +)" "x" "5.1.9 +" "hint">>. Drag the links from the following list to your Wiki, import, save and ''reload''.

* macro: $:/_telmiger/strex
* shorthand macro: $:/_telmiger/ref
* styling: $:/_telmiger/strex.css
* macro for hashing: $:/_telmiger/utils/HashStr.js 

Drag the link TextStretch over too, if you want to keep <<strex "or improve a copy of" (…) ( )>> these explanations. Have fun!

New [[TextStretch Versions]] might be published on: http://tid.li/tw5/hacks.html#TextStretch


!! Inspiration

This [[thread in the TiddliWiki Google Group|https://groups.google.com/d/msg/tiddlywiki/biymRJTDWxY/5Vh-PxYvAQAJ]] was the ignition which made me develop my own version of a tool similar to

* http://stretchtext.tiddlyspot.com/ or 
* http://www.telescopictext.com/ 

<<strex {{!!example-2}}>> My initial goal was to detect [text], show only […] and expand on click. I was not able to master the detection part, but I think the result is much better anyway.

!!! Thank You
I am very greatful for Mat <<strex "from [[twaddle.tiddlyspot.com|http://twaddle.tiddlyspot.com/]], who appears in the Google group as the smiling man with the hat," "<:-)" "(-:>" "<:-)">> – his example [[StretchText|http://stretchtext.tiddlyspot.com/]] showed me how something like TextStretch can be done. 

At the same time I would like to thank all other members of the friendly TiddlyWiki community for <<strex "their contributions to not only the aforementioned thread, but also many, many other">>inspiring examples, tips and tricks they share. Thank you all!

{{DWYWBDBM-Licence}}

* All objects are called "tiddlers"
* Tiddlers are used to manage both the display and the content, using common code and techniques
* Display and data are tightly integrated
* Full CSS embedded in tiddlers, thus highly configurable

<$list filter="[tag{!!title}]">
<p><div class="level1"><$link><<currentTiddler>></$link></div>
<$appear show="&raquo;" hide="&laquo;" $state="dataset">
<div class="level2"><$transclude mode="block" field="text"/></div>
</$appear>
</p>
</$list>

<$list filter="[tag{!!title}sort[slideorder]]">
<p><div class="level1"><$link><<currentTiddler>></$link></div>
<$appear show="&raquo;" hide="&laquo;" $state="dataset">
<div class="level2"><$transclude mode="block" field="text"/></div>
</$appear>
</p>
</$list>

!! [[Top toolbar plugin|Toolbar plugin]] v<<pversion "toolbar">>

''Status:'' @@.RED {{Toolbar plugin!!status}} v<<version>>@@

<<readme $:/plugins/tongerner/toolbar/readme $:/plugins/tongerner/toolbar>>
* $:/plugins/tongerner/layout_adjustment

In case you want the possibility to enable/disable the toolbar, drag & drop the following link to your wiki:

* [[$:/_toggle-toolbar-plugin-button]]

<<<
''Note:''<br>This 'toggle toolbar plugin' button does ''not'' work here at ~TiddlySpot (you cannot save)!
<<<

Engaging in the process of transcluding involves referencing
 one tiddler "A" from another tiddler "B" such that the content of "A" appears to be a part of "B".

See [[Transclusion]]: 

<$transclude tiddler="Transclusion" mode="block"/>

hosting

https://github.com/inmysocks/TW5-MathyThing

!! [[Uptoolbar plugin]] v<<pversion "uptoolbar">>

''Status:'' @@.RED {{Uptoolbar plugin!!status}} v<<version>>@@

<<readme $:/plugins/tongerner/uptoolbar/readme $:/plugins/tongerner/uptoolbar>>
* [[$:/plugins/tongerner/layout_adjustment]]

<div class="tc-titlebar">

{{
</div>

!! Source: [[Dougherty (2002)|Images of September 11 on the Web]]
!! This assessment of imagery in the post-911 Web sphere identifies six types of images dominated the Web sphere in the days and weeks following the terrorist attacks

# informative
# memorial
# signpost
# storytelling
# supplemental
# iconographic

!! An assessment of the sites examined in her dataset offer an opportunity to explore the ways in which objects constructed in TidldyWiki can be used to generate an interface to a knowledgebase affording a monadic  exploration

<$macrocall $name='cell-list'/>

<$macrocall $name='cell-list'/>

<$macrocall $name='cell-list'/>

<$macrocall $name='cell-list'/>

<$macrocall $name='cell-list'/>

<$macrocall $name='cell-list'/>

<$macrocall $name='cell-list'/>

<$macrocall $name='cell-list'/>

<$macrocall $name='cell-list'/>

<$macrocall $name='cell-list'/>

<$macrocall $name='cell-list'/>

<$macrocall $name='cell-list'/>

<$macrocall $name='cell-list'/>

<$macrocall $name='cell-list'/>

<$macrocall $name='cell-list'/>

<$macrocall $name='cell-list'/>

<$macrocall $name='cell-list'/>

<$macrocall $name='cell-list'/>

<$macrocall $name='cell-list'/>

<$macrocall $name='cell-list'/>

<$macrocall $name='cell-list'/>

<$macrocall $name='cell-list'/>

<$macrocall $name='cell-list'/>

<$macrocall $name='blog-cell-list'/>

<$macrocall $name='blog-cell-list'/>

appropriating
contributing
following
hosting
linking
publishing

<$list filter="[tag[911site]![field:web-action[]sort[web-action]]">
{{!!web-action}}<br>
</$list>

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dGggMjE3ID4+IA1zdHJlYW0NCkiJVFAxbsMwDNz1Co4NOsh2M3QwvCQI4CFtUbvdFYl2BMSUQMuDf19JcBJ0IAkeebgj5aE9tmQDyC92usMAgyXDOLuFNcIFR0tQVmCsDluXs56UBxnJ3ToHnFoaHNS1kN9xOAde4aXv31+LHchPNsiWxojsq5/fiHSL9zeckAIU0DRgcBDycFb+Q00IMhOfYL96hCr35abtDM5eaWRFI0JdFG9Vcy9I5v/8zroM+qpYPLf3p0bE7Q1PvHTTw4demKPFfHg2kixYwsdvvPNJLYX4E2AA5M1qjAplbmRzdHJlYW0NZW5kb2JqDTQzIDAgb2JqDTw8IA0vVHlwZSAvQW5ub3QgDS9TdWJ0eXBlIC9MaW5rIA0vUmVjdCBbIDEyNi4wMDAxOCA0NjIuMjc3MDQgMzg5LjI2MTU0IDQ3OC4wNDQ4IF0gDS9Cb3JkZXIgWyAwIDAgMCBdIA0vSCAvSSANL0EgNDQgMCBSIA0vU3RydWN0UGFyZW50IDggDT4+IA1lbmRvYmoNNDQgMCBvYmoNPDwgDS9TIC9VUkkgDS9VUkkgKGh0dHA6Ly93d3cucmxnLm9yZy9wcmVzZXJ2L2RpZ2luZXdzL2RpZ2luZXdzNS0yLmh0bWwpDT4+IA1lbmRvYmoNNDUgMCBvYmoNPDwgDS9UeXBlIC9Bbm5vdCANL1N1YnR5cGUgL0xpbmsgDS9SZWN0IFsgMTI1Ljk5OTkxIDMxNS44NzY3MSAzODQuNTczMyAzMzEuNjQ0NDcgXSANL0JvcmRlciBbIDAgMCAwIF0gDS9IIC9JIA0vQSA0NiAwIFIgDS9TdHJ1Y3RQYXJlbnQgOSANPj4gDWVuZG9iag00NiAwIG9iag08PCANL1MgL1VSSSANL1VSSSAoaHR0cDovL2Fjam91cm5hbC5vcmcvaG9sZGluZ3Mvdm9sMy9Jc3MzL2N1cnRhaW4uaHRtbCkNPj4gDWVuZG9iag00NyAwIG9iag08PCANL1R5cGUgL0Fubm90IA0vU3VidHlwZSAvTGluayANL1JlY3QgWyAxMjUuOTk5ODIgNjEwLjQ3NjU2IDM2Ni40ODA1OSA2MjYuMjQ0MzIgXSANL0JvcmRlciBbIDAgMCAwIF0gDS9IIC9JIA0vQSA0OCAwIFIgDS9TdHJ1Y3RQYXJlbnQgMTEgDT4+IA1lbmRvYmoNNDggMCBvYmoNPDwgDS9TIC9VUkkgDS9VUkkgKGh0dHA6Ly93d3cuYXNjdXNjLm9yZy9qY21jL3ZvbDgvaXNzdWU0L2Zvb3QuaHRtbCkNPj4gDWVuZG9iag00OSAwIG9iag08PCANL1R5cGUgL0Fubm90IA0vU3VidHlwZSAvTGluayANL1JlY3QgWyAxMjUuOTk5NjUgMTg1LjEzNzY2IDM4My45NDc2MyAyMDAuOTA1NDMgXSANL0JvcmRlciBbIDAgMCAwIF0gDS9IIC9JIA0vQSA1MCAwIFIgDS9TdHJ1Y3RQYXJlbnQgMTIgDT4+IA1lbmRvYmoNNTAgMCBvYmoNPDwgDS9TIC9VUkkgDS9VUkkgKGh0dHA6Ly93d3cuYXNjdXNjLm9yZy9qY21jL3ZvbDMvaXNzdWUxL2phY2tzb24uaHRtbCkNPj4gDWVuZG9iag01MSAwIG9iag08PCANL1R5cGUgL0Fubm90IA0vU3VidHlwZSAvTGluayANL1JlY3QgWyAyNjIuNTYwMDYgNjM4LjA3NjQyIDUwNS44NjIzNyA2NTMuODQ0MTggXSANL0JvcmRlciBbIDAgMCAwIF0gDS9IIC9JIA0vQSA1MiAwIFIgDS9TdHJ1Y3RQYXJlbnQgMTQgDT4+IA1lbmRvYmoNNTIgMCBvYmoNPDwgDS9TIC9VUkkgDS9VUkkgKGh0dHA6Ly93d3cuY2xpci5vcmcvcHVicy9yZXBvcnRzL3B1YjEwNi93ZWIuaHRtbCkNPj4gDWVuZG9iag01MyAwIG9iag08PCANL1R5cGUgL0Fubm90IA0vU3VidHlwZSAvTGluayANL1JlY3QgWyAxMjYuMDAwMDIgNTg0LjY3NjMzIDM0Ny45MTI1NCA2MDAuNDQ0MDkgXSANL0JvcmRlciBbIDAgMCAwIF0gDS9IIC9JIA0vQSA1NCAwIFIgDS9TdHJ1Y3RQYXJlbnQgMTUgDT4+IA1lbmRvYmoNNTQgMCBvYmoNPDwgDS9TIC9VUkkgDS9VUkkgKGh0dHA6Ly93d3cuZGxpYi5vcmcvZGxpYi9qdWx5OTgvMDdseW1hbi5odG1sKQ0+PiANZW5kb2JqDTU1IDAgb2JqDTw8IA0vVHlwZSAvQW5ub3QgDS9TdWJ0eXBlIC9MaW5rIA0vUmVjdCBbIDEyNS45OTk3NiAzMDUuNjc3MTkgNDA2LjQyNjc2IDMyMS40NDQ5NSBdIA0vQm9yZGVyIFsgMCAwIDAgXSANL0ggL0kgDS9BIDU2IDAgUiANL1N0cnVjdFBhcmVudCAxNiANPj4gDWVuZG9iag01NiAwIG9iag08PCANL1MgL1VSSSANL1VSSSAoaHR0cDovL2ZpcnN0bW9uZGF5Lm9yZy9pc3N1ZXMvaXNzdWU2XzIvb2RseXprby9pbmRleC5odG1sKQ0+PiANZW5kb2JqDTU3IDAgb2JqDTw8IA0vVHlwZSAvQW5ub3QgDS9TdWJ0eXBlIC9MaW5rIA0vUmVjdCBbIDEyNi4wMDAwMyAyMTIuNzM2MyAzNjguNTgzNDcgMjI4LjUwNDA2IF0gDS9Cb3JkZXIgWyAwIDAgMCBdIA0vSCAvSSANL0EgNTggMCBSIA0vU3RydWN0UGFyZW50IDE3IA0+PiANZW5kb2JqDTU4IDAgb2JqDTw8IA0vUyAvVVJJIA0vVVJJIChodHRwOi8vd3d3LmFzY3VzYy5vcmcvamNtYy92b2w4L2lzc3VlNC9wYXJrLmh0bWwpDT4+IA1lbmRvYmoNNTkgMCBvYmoNPDwgDS9UeXBlIC9Bbm5vdCANL1N1YnR5cGUgL0xpbmsgDS9SZWN0IFsgMTI2IDM1Ny4yNzc1OSAzNzMuODk5NzUgMzczLjA0NTM1IF0gDS9Cb3JkZXIgWyAwIDAgMCBdIA0vSCAvSSANL0EgNjAgMCBSIA0vU3RydWN0UGFyZW50IDE5IA0+PiANZW5kb2JqDTYwIDAgb2JqDTw8IA0vUyAvVVJJIA0vVVJJIChodHRwOi8vd3d3LmFzY3VzYy5vcmcvamNtYy92b2wzL2lzc3VlMS9zbWl0aC5odG1sKQ0+PiANZW5kb2JqDTYxIDAgb2JqDTw8IA0vVHlwZSAvQW5ub3QgDS9TdWJ0eXBlIC9MaW5rIA0vUmVjdCBbIDEyNi4wMDAwMiAyNTAuNTM2NDIgNDIwLjU3MTQ3IDI2Ni4zMDQyIF0gDS9Cb3JkZXIgWyAwIDAgMCBdIA0vSCAvSSANL0EgNjIgMCBSIA0vU3RydWN0UGFyZW50IDIwIA0+PiANZW5kb2JqDTYyIDAgb2JqDTw8IA0vUyAvVVJJIA0vVVJJIChodHRwOi8vd3d3LmFzY3VzYy5vcmcvamNtYy92b2w4L2lzc3VlMS9zdHJvbWVyYW5kZm9vdC5odG1sKQ0+PiANZW5kb2JqDTYzIDAgb2JqDTw8IA0vVHlwZSAvQW5ub3QgDS9TdWJ0eXBlIC9MaW5rIA0vUmVjdCBbIDE0Ni4wMzk5OCA2NzcuNjc2MjcgMzg1LjI4OTg5IDY5My40NDQwMyBdIA0vQm9yZGVyIFsgMCAwIDAgXSANL0ggL0kgDS9BIDY0IDAgUiANL1N0cnVjdFBhcmVudCAyMiANPj4gDWVuZG9iag02NCAwIG9iag08PCANL1MgL1VSSSANL1VSSSAoaHR0cDovL3d3dy5hc2N1c2Mub3JnL2pjbWMvdm9sNi9pc3N1ZTEveXVuLmh0bWwpDT4+IA1lbmRvYmoNNjUgMCBvYmoNPDwgDS9UZXh0Qm94IC9EaXYgDS9GcmFtZSAvRGl2IA0vRm9vdG5vdGUgL05vdGUgDS9FbmRub3RlIC9Ob3RlIA0vU2hhcGUgL0ZpZ3VyZSANL0lubGluZVNoYXBlIC9GaWd1cmUgDS9UT0EgL1RPQyANL1RPQUkgL1RPQ0kgDS9UT0YgL1RPQyANL1RPRkkgL1RPQ0kgDS9TdXBlcnNjcmlwdCAvU3BhbiANL1N1YnNjcmlwdCAvU3BhbiANL1N0cmlrZW91dCAvU3BhbiANL1VuZGVybGluZSAvU3BhbiANL0Ryb3BDYXAgL0ZpZ3VyZSANL05vcm1hbCAvUCANPj4gDWVuZG9iag02NiAwIG9iag08PCANL1MgL05vcm1hbCANL0MgL05vcm1hbCANL1BnIDI3NSAwIFIgDS9LIDAgDS9QIDIzNCAwIFIgDT4+IA1lbmRvYmoNNjcgMCBvYmoNPDwgDS9TIC9Ob3JtYWwgDS9DIC9Ob3JtYWwgDS9QZyAyNzUgMCBSIA0vSyAxIA0vUCAyMzQgMCBSIA0+PiANZW5kb2JqDTY4IDAgb2JqDTw8IA0vTm9ybWFsIDY5IDAgUiANPj4gDWVuZG9iag02OSAwIG9iag08PCANL08gL0xheW91dCANL1dyaXRpbmdNb2RlIC9MclRiIA0vU3RhcnRJbmRlbnQgMCANL0VuZEluZGVudCAwIA0vVGV4dEFsaWduIC9TdGFydCANL1NwYWNlQmVmb3JlIDEyIA0vU3BhY2VBZnRlciAwIA0vVGV4dEluZGVudCAwIA0+PiANZW5kb2JqDTcwIDAgb2JqDTw8IA0vUyAvTm9ybWFsIA0vQyAvTm9ybWFsIA0vUGcgMjc1IDAgUiANL0sgMiANL1AgMjM0IDAgUiANPj4gDWVuZG9iag03MSAwIG9iag08PCANL1MgL05vcm1hbCANL0MgL05vcm1hbCANL1BnIDI3NSAwIFIgDS9LIFsgMyA3MiAwIFIgNSBdIA0vUCAyMzQgMCBSIA0+PiANZW5kb2JqDTcyIDAgb2JqDTw8IA0vUyAvTGluayANL1AgNzEgMCBSIA0vSyBbIDczIDAgUiA8PCAvVHlwZSAvT0JKUiAvUGcgMjc1IDAgUiAvT2JqIDI3NyAwIFIgPj4gXSANPj4gDWVuZG9iag03MyAwIG9iag08PCANL1MgL1VuZGVybGluZSANL1AgNzIgMCBSIA0vQSAyNDIgMCBSIA0vUGcgMjc1IDAgUiANL0sgNCANPj4gDWVuZG9iag03NCAwIG9iag08PCANL1MgL05vcm1hbCANL0MgL05vcm1hbCANL1BnIDI3NSAwIFIgDS9LIFsgNiA3NSAwIFIgOCBdIA0vUCAyMzQgMCBSIA0+PiANZW5kb2JqDTc1IDAgb2JqDTw8IA0vUyAvTGluayANL1AgNzQgMCBSIA0vSyBbIDc2IDAgUiA8PCAvVHlwZSAvT0JKUiAvUGcgMjc1IDAgUiAvT2JqIDI3OCAwIFIgPj4gXSANPj4gDWVuZG9iag03NiAwIG9iag08PCANL1MgL1VuZGVybGluZSANL1AgNzUgMCBSIA0vQSAyNDMgMCBSIA0vUGcgMjc1IDAgUiANL0sgNyANPj4gDWVuZG9iag03NyAwIG9iag08PCANL1MgL05vcm1hbCANL0MgL05vcm1hbCANL1BnIDI3NSAwIFIgDS9LIDkgDS9QIDIzNCAwIFIgDT4+IA1lbmRvYmoNNzggMCBvYmoNPDwgDS9TIC9Ob3JtYWwgDS9DIC9Ob3JtYWwgDS9QZyAyNzUgMCBSIA0vSyAxMCANL1AgMjM0IDAgUiANPj4gDWVuZG9iag03OSAwIG9iag08PCANL1MgL05vcm1hbCANL0MgL05vcm1hbCANL1BnIDI3NSAwIFIgDS9LIDExIA0vUCAyMzQgMCBSIA0+PiANZW5kb2JqDTgwIDAgb2JqDTw8IA0vUyAvTm9ybWFsIA0vQyAvTm9ybWFsIA0vUGcgMjc1IDAgUiANL0sgMTIgDS9QIDIzNCAwIFIgDT4+IA1lbmRvYmoNODEgMCBvYmoNPDwgDS9TIC9Ob3JtYWwgDS9DIC9Ob3JtYWwgDS9QZyAyNzUgMCBSIA0vSyAxMyANL1AgMjM0IDAgUiANPj4gDWVuZG9iag04MiAwIG9iag08PCANL1MgL05vcm1hbCANL0MgL05vcm1hbCANL1BnIDI3NSAwIFIgDS9QIDIzNCAwIFIgDS9LIFsgMTQgPDwgL1R5cGUgL01DUiAvUGcgMSAwIFIgL01DSUQgMCA+PiBdIA0+PiANZW5kb2JqDTgzIDAgb2JqDTw8IA0vUyAvTm9ybWFsIA0vQyAvTm9ybWFsIA0vUGcgMSAwIFIgDS9LIDEgDS9QIDIzNCAwIFIgDT4+IA1lbmRvYmoNODQgMCBvYmoNPDwgDS9TIC9Ob3JtYWwgDS9DIC9Ob3JtYWwgDS9QZyAxIDAgUiANL0sgMiANL1AgMjM0IDAgUiANPj4gDWVuZG9iag04NSAwIG9iag08PCANL1MgL05vcm1hbCANL0MgL05vcm1hbCANL1BnIDEgMCBSIA0vSyAzIA0vUCAyMzQgMCBSIA0+PiANZW5kb2JqDTg2IDAgb2JqDTw8IA0vUyAvTm9ybWFsIA0vQyAvTm9ybWFsIA0vUGcgNCAwIFIgDS9LIDAgDS9QIDIzNCAwIFIgDT4+IA1lbmRvYmoNODcgMCBvYmoNPDwgDS9TIC9Ob3JtYWwgDS9DIC9Ob3JtYWwgDS9QZyA0IDAgUiANL0sgMSANL1AgMjM0IDAgUiANPj4gDWVuZG9iag04OCAwIG9iag08PCANL1MgL0xCb2R5IA0vQSBbIDg5IDAgUiBdIA0vQyAvTm9ybWFsIA0vUGcgNCAwIFIgDS9LIDIgDS9QIDIzNiAwIFIgDT4+IA1lbmRvYmoNODkgMCBvYmoNPDwgDS9PIC9MYXlvdXQgDS9TdGFydEluZGVudCAzNiANL1RleHRJbmRlbnQgLTE3Ljk5OTk4IA0+PiANZW5kb2JqDTkwIDAgb2JqDTw8IA0vUyAvTEJvZHkgDS9BIFsgOTEgMCBSIF0gDS9DIC9Ob3JtYWwgDS9QZyA0IDAgUiANL0sgMyANL1AgMjM3IDAgUiANPj4gDWVuZG9iag05MSAwIG9iag08PCANL08gL0xheW91dCANL1N0YXJ0SW5kZW50IDM2IA0vVGV4dEluZGVudCAtMTcuOTk5OTggDT4+IA1lbmRvYmoNOTIgMCBvYmoNPDwgDS9TIC9MQm9keSANL0EgWyA5MyAwIFIgXSANL0MgL05vcm1hbCANL1BnIDQgMCBSIA0vSyA0IA0vUCAyMzggMCBSIA0+PiANZW5kb2JqDTkzIDAgb2JqDTw8IA0vTyAvTGF5b3V0IA0vU3RhcnRJbmRlbnQgMzYgDS9UZXh0SW5kZW50IC0xNy45OTk5OCANPj4gDWVuZG9iag05NCAwIG9iag08PCANL1MgL0xCb2R5IA0vQSBbIDk1IDAgUiBdIA0vQyAvTm9ybWFsIA0vUGcgNCAwIFIgDS9LIDUgDS9QIDIzOSAwIFIgDT4+IA1lbmRvYmoNOTUgMCBvYmoNPDwgDS9PIC9MYXlvdXQgDS9TdGFydEluZGVudCAzNiANL1RleHRJbmRlbnQgLTE3Ljk5OTk4IA0+PiANZW5kb2JqDTk2IDAgb2JqDTw8IA0vUyAvTm9ybWFsIA0vQyAvTm9ybWFsIA0vUGcgNCAwIFIgDS9LIDYgDS9QIDIzNCAwIFIgDT4+IA1lbmRvYmoNOTcgMCBvYmoNPDwgDS9TIC9Ob3JtYWwgDS9DIC9Ob3JtYWwgDS9QZyA0IDAgUiANL0sgNyANL1AgMjM0IDAgUiANPj4gDWVuZG9iag05OCAwIG9iag08PCANL1MgL05vcm1hbCANL0MgL05vcm1hbCANL1BnIDQgMCBSIA0vSyBbIDggOTkgMCBSIDEwIDw8IC9UeXBlIC9NQ1IgL1BnIDcgMCBSIC9NQ0lEIDAgPj4gXSANL1AgMjM0IDAgUiANPj4gDWVuZG9iag05OSAwIG9iag08PCANL1MgL1VuZGVybGluZSANL1AgOTggMCBSIA0vQSAyNDYgMCBSIA0vUGcgNCAwIFIgDS9LIDkgDT4+IA1lbmRvYmoNMTAwIDAgb2JqDTw8IA0vUyAvTm9ybWFsIA0vQyAvTm9ybWFsIA0vUGcgNyAwIFIgDS9LIFsgMSAxMDEgMCBSIDMgXSANL1AgMjM0IDAgUiANPj4gDWVuZG9iag0xMDEgMCBvYmoNPDwgDS9TIC9VbmRlcmxpbmUgDS9QIDEwMCAwIFIgDS9BIDI0OCAwIFIgDS9QZyA3IDAgUiANL0sgMiANPj4gDWVuZG9iag0xMDIgMCBvYmoNPDwgDS9TIC9Ob3JtYWwgDS9DIC9Ob3JtYWwgDS9QZyA3IDAgUiANL0sgWyA0IDEwMyAwIFIgNiBdIA0vUCAyMzQgMCBSIA0+PiANZW5kb2JqDTEwMyAwIG9iag08PCANL1MgL1VuZGVybGluZSANL1AgMTAyIDAgUiANL0EgMjQ5IDAgUiANL1BnIDcgMCBSIA0vSyA1IA0+PiANZW5kb2JqDTEwNCAwIG9iag08PCANL1MgL05vcm1hbCANL0MgL05vcm1hbCANL1BnIDcgMCBSIA0vSyA3IA0vUCAyMzQgMCBSIA0+PiANZW5kb2JqDTEwNSAwIG9iag08PCANL1MgL05vcm1hbCANL0MgL05vcm1hbCANL1BnIDcgMCBSIA0vSyA4IA0vUCAyMzQgMCBSIA0+PiANZW5kb2JqDTEwNiAwIG9iag08PCANL1MgL05vcm1hbCANL0MgL05vcm1hbCANL1BnIDEwIDAgUiANL0sgMCANL1AgMjM0IDAgUiANPj4gDWVuZG9iag0xMDcgMCBvYmoNPDwgDS9TIC9Ob3JtYWwgDS9DIC9Ob3JtYWwgDS9QZyAxMCAwIFIgDS9LIDEgDS9QIDIzNCAwIFIgDT4+IA1lbmRvYmoNMTA4IDAgb2JqDTw8IA0vUyAvTm9ybWFsIA0vQyAvTm9ybWFsIA0vUGcgMTAgMCBSIA0vSyAyIA0vUCAyMzQgMCBSIA0+PiANZW5kb2JqDTEwOSAwIG9iag08PCANL1MgL05vcm1hbCANL0MgL05vcm1hbCANL1BnIDEwIDAgUiANL0sgMyANL1AgMjM0IDAgUiANPj4gDWVuZG9iag0xMTAgMCBvYmoNPDwgDS9TIC9Ob3JtYWwgDS9DIC9Ob3JtYWwgDS9QZyAxMCAwIFIgDS9LIDQgDS9QIDIzNCAwIFIgDT4+IA1lbmRvYmoNMTExIDAgb2JqDTw8IA0vUyAvTm9ybWFsIA0vQyAvTm9ybWFsIA0vUGcgMTAgMCBSIA0vUCAyMzQgMCBSIA0vSyBbIDUgPDwgL1R5cGUgL01DUiAvUGcgMTMgMCBSIC9NQ0lEIDAgPj4gXSANPj4gDWVuZG9iag0xMTIgMCBvYmoNPDwgDS9TIC9Ob3JtYWwgDS9DIC9Ob3JtYWwgDS9QZyAxMyAwIFIgDS9LIDEgDS9QIDIzNCAwIFIgDT4+IA1lbmRvYmoNMTEzIDAgb2JqDTw8IA0vUyAvTm9ybWFsIA0vQyAvTm9ybWFsIA0vUGcgMTMgMCBSIA0vSyAyIA0vUCAyMzQgMCBSIA0+PiANZW5kb2JqDTExNCAwIG9iag08PCANL1MgL05vcm1hbCANL0EgWyAxMTUgMCBSIF0gDS9DIC9Ob3JtYWwgDS9QZyAxMyAwIFIgDS9LIFsgMyAxMTYgMCBSIDUgXSANL1AgMjM0IDAgUiANPj4gDWVuZG9iag0xMTUgMCBvYmoNPDwgDS9PIC9MYXlvdXQgDS9TdGFydEluZGVudCAzNiANL1RleHRJbmRlbnQgLTM1Ljk5OTk4IA0+PiANZW5kb2JqDTExNiAwIG9iag08PCANL1MgL0xpbmsgDS9QIDExNCAwIFIgDS9LIFsgMTE3IDAgUiA8PCAvVHlwZSAvT0JKUiAvUGcgMTMgMCBSIC9PYmogNDMgMCBSID4+IF0gDT4+IA1lbmRvYmoNMTE3IDAgb2JqDTw8IA0vUyAvVW5kZXJsaW5lIA0vUCAxMTYgMCBSIA0vQSAyNTIgMCBSIA0vUGcgMTMgMCBSIA0vSyA0IA0+PiANZW5kb2JqDTExOCAwIG9iag08PCANL1MgL05vcm1hbCANL0EgWyAxMTkgMCBSIF0gDS9DIC9Ob3JtYWwgDS9QZyAxMyAwIFIgDS9LIDYgDS9QIDIzNCAwIFIgDT4+IA1lbmRvYmoNMTE5IDAgb2JqDTw8IA0vTyAvTGF5b3V0IA0vU3RhcnRJbmRlbnQgMzYgDS9UZXh0SW5kZW50IC0zNS45OTk5OCANPj4gDWVuZG9iag0xMjAgMCBvYmoNPDwgDS9TIC9Ob3JtYWwgDS9BIFsgMTIxIDAgUiBdIA0vQyAvTm9ybWFsIA0vUGcgMTMgMCBSIA0vSyA3IA0vUCAyMzQgMCBSIA0+PiANZW5kb2JqDTEyMSAwIG9iag08PCANL08gL0xheW91dCANL1N0YXJ0SW5kZW50IDM2IA0vVGV4dEluZGVudCAtMzUuOTk5OTggDT4+IA1lbmRvYmoNMTIyIDAgb2JqDTw8IA0vUyAvTm9ybWFsIA0vQSBbIDEyMyAwIFIgXSANL0MgL05vcm1hbCANL1BnIDEzIDAgUiANL0sgWyA4IDEyNCAwIFIgMTAgXSANL1AgMjM0IDAgUiANPj4gDWVuZG9iag0xMjMgMCBvYmoNPDwgDS9PIC9MYXlvdXQgDS9TdGFydEluZGVudCAzNiANL1RleHRJbmRlbnQgLTM1Ljk5OTk4IA0+PiANZW5kb2JqDTEyNCAwIG9iag08PCANL1MgL0xpbmsgDS9QIDEyMiAwIFIgDS9LIFsgMTI1IDAgUiA8PCAvVHlwZSAvT0JKUiAvUGcgMTMgMCBSIC9PYmogNDUgMCBSID4+IF0gDT4+IA1lbmRvYmoNMTI1IDAgb2JqDTw8IA0vUyAvVW5kZXJsaW5lIA0vUCAxMjQgMCBSIA0vQSAyNTMgMCBSIA0vUGcgMTMgMCBSIA0vSyA5IA0+PiANZW5kb2JqDTEyNiAwIG9iag08PCANL1MgL05vcm1hbCANL0EgWyAxMjcgMCBSIF0gDS9DIC9Ob3JtYWwgDS9QZyAxMyAwIFIgDS9LIDExIA0vUCAyMzQgMCBSIA0+PiANZW5kb2JqDTEyNyAwIG9iag08PCANL08gL0xheW91dCANL1N0YXJ0SW5kZW50IDM2IA0vVGV4dEluZGVudCAtMzUuOTk5OTggDT4+IA1lbmRvYmoNMTI4IDAgb2JqDTw8IA0vUyAvTm9ybWFsIA0vQSBbIDEyOSAwIFIgXSANL0MgL05vcm1hbCANL1BnIDEzIDAgUiANL0sgMTIgDS9QIDIzNCAwIFIgDT4+IA1lbmRvYmoNMTI5IDAgb2JqDTw8IA0vTyAvTGF5b3V0IA0vU3RhcnRJbmRlbnQgMzYgDS9UZXh0SW5kZW50IC0zNS45OTk5OCANPj4gDWVuZG9iag0xMzAgMCBvYmoNPDwgDS9TIC9Ob3JtYWwgDS9BIFsgMTMxIDAgUiBdIA0vQyAvTm9ybWFsIA0vUGcgMTMgMCBSIA0vSyAxMyANL1AgMjM0IDAgUiANPj4gDWVuZG9iag0xMzEgMCBvYmoNPDwgDS9PIC9MYXlvdXQgDS9TdGFydEluZGVudCAzNiANL1RleHRJbmRlbnQgLTM1Ljk5OTk4IA0+PiANZW5kb2JqDTEzMiAwIG9iag08PCANL1MgL05vcm1hbCANL0EgWyAxMzMgMCBSIF0gDS9DIC9Ob3JtYWwgDS9QZyAxMyAwIFIgDS9LIDE0IA0vUCAyMzQgMCBSIA0+PiANZW5kb2JqDTEzMyAwIG9iag08PCANL08gL0xheW91dCANL1N0YXJ0SW5kZW50IDM2IA0vVGV4dEluZGVudCAtMzUuOTk5OTggDT4+IA1lbmRvYmoNMTM0IDAgb2JqDTw8IA0vUyAvTm9ybWFsIA0vQSBbIDEzNSAwIFIgXSANL0MgL05vcm1hbCANL1BnIDEzIDAgUiANL0sgMTUgDS9QIDIzNCAwIFIgDT4+IA1lbmRvYmoNMTM1IDAgb2JqDTw8IA0vTyAvTGF5b3V0IA0vU3RhcnRJbmRlbnQgMzYgDS9UZXh0SW5kZW50IC0zNS45OTk5OCANPj4gDWVuZG9iag0xMzYgMCBvYmoNPDwgDS9TIC9Ob3JtYWwgDS9BIFsgMTM3IDAgUiBdIA0vQyAvTm9ybWFsIA0vUGcgMTcgMCBSIA0vSyAwIA0vUCAyMzQgMCBSIA0+PiANZW5kb2JqDTEzNyAwIG9iag08PCANL08gL0xheW91dCANL1N0YXJ0SW5kZW50IDM2IA0vVGV4dEluZGVudCAtMzUuOTk5OTggDT4+IA1lbmRvYmoNMTM4IDAgb2JqDTw8IA0vUyAvTm9ybWFsIA0vQSBbIDEzOSAwIFIgXSANL0MgL05vcm1hbCANL1BnIDE3IDAgUiANL0sgWyAxIDE0MCAwIFIgMyBdIA0vUCAyMzQgMCBSIA0+PiANZW5kb2JqDTEzOSAwIG9iag08PCANL08gL0xheW91dCANL1N0YXJ0SW5kZW50IDM2IA0vVGV4dEluZGVudCAtMzUuOTk5OTggDT4+IA1lbmRvYmoNMTQwIDAgb2JqDTw8IA0vUyAvTGluayANL1AgMTM4IDAgUiANL0sgWyAxNDEgMCBSIDw8IC9UeXBlIC9PQkpSIC9QZyAxNyAwIFIgL09iaiA0NyAwIFIgPj4gXSANPj4gDWVuZG9iag0xNDEgMCBvYmoNPDwgDS9TIC9VbmRlcmxpbmUgDS9QIDE0MCAwIFIgDS9BIDI1NSAwIFIgDS9QZyAxNyAwIFIgDS9LIDIgDT4+IA1lbmRvYmoNMTQyIDAgb2JqDTw8IA0vUyAvTm9ybWFsIA0vQSBbIDE0MyAwIFIgXSANL0MgL05vcm1hbCANL1BnIDE3IDAgUiANL0sgNCANL1AgMjM0IDAgUiANPj4gDWVuZG9iag0xNDMgMCBvYmoNPDwgDS9PIC9MYXlvdXQgDS9TdGFydEluZGVudCAzNiANL1RleHRJbmRlbnQgLTM1Ljk5OTk4IA0+PiANZW5kb2JqDTE0NCAwIG9iag08PCANL1MgL05vcm1hbCANL0EgWyAxNDUgMCBSIF0gDS9DIC9Ob3JtYWwgDS9QZyAxNyAwIFIgDS9LIDUgDS9QIDIzNCAwIFIgDT4+IA1lbmRvYmoNMTQ1IDAgb2JqDTw8IA0vTyAvTGF5b3V0IA0vU3RhcnRJbmRlbnQgMzYgDS9UZXh0SW5kZW50IC0zNS45OTk5OCANPj4gDWVuZG9iag0xNDYgMCBvYmoNPDwgDS9TIC9Ob3JtYWwgDS9BIFsgMTQ3IDAgUiBdIA0vQyAvTm9ybWFsIA0vUGcgMTcgMCBSIA0vSyA2IA0vUCAyMzQgMCBSIA0+PiANZW5kb2JqDTE0NyAwIG9iag08PCANL08gL0xheW91dCANL1N0YXJ0SW5kZW50IDM2IA0vVGV4dEluZGVudCAtMzUuOTk5OTggDT4+IA1lbmRvYmoNMTQ4IDAgb2JqDTw8IA0vUyAvTm9ybWFsIA0vQSBbIDE0OSAwIFIgXSANL0MgL05vcm1hbCANL1BnIDE3IDAgUiANL0sgNyANL1AgMjM0IDAgUiANPj4gDWVuZG9iag0xNDkgMCBvYmoNPDwgDS9PIC9MYXlvdXQgDS9TdGFydEluZGVudCAzNiANL1RleHRJbmRlbnQgLTM1Ljk5OTk4IA0+PiANZW5kb2JqDTE1MCAwIG9iag08PCANL1MgL05vcm1hbCANL0EgWyAxNTEgMCBSIF0gDS9DIC9Ob3JtYWwgDS9QZyAxNyAwIFIgDS9LIDggDS9QIDIzNCAwIFIgDT4+IA1lbmRvYmoNMTUxIDAgb2JqDTw8IA0vTyAvTGF5b3V0IA0vU3RhcnRJbmRlbnQgMzYgDS9UZXh0SW5kZW50IC0zNS45OTk5OCANPj4gDWVuZG9iag0xNTIgMCBvYmoNPDwgDS9TIC9Ob3JtYWwgDS9BIFsgMTUzIDAgUiBdIA0vQyAvTm9ybWFsIA0vUGcgMTcgMCBSIA0vSyA5IA0vUCAyMzQgMCBSIA0+PiANZW5kb2JqDTE1MyAwIG9iag08PCANL08gL0xheW91dCANL1N0YXJ0SW5kZW50IDM2IA0vVGV4dEluZGVudCAtMzUuOTk5OTggDT4+IA1lbmRvYmoNMTU0IDAgb2JqDTw8IA0vUyAvTm9ybWFsIA0vQSBbIDE1NSAwIFIgXSANL0MgL05vcm1hbCANL1BnIDE3IDAgUiANL0sgMTAgDS9QIDIzNCAwIFIgDT4+IA1lbmRvYmoNMTU1IDAgb2JqDTw8IA0vTyAvTGF5b3V0IA0vU3RhcnRJbmRlbnQgMzYgDS9UZXh0SW5kZW50IC0zNS45OTk5OCANPj4gDWVuZG9iag0xNTYgMCBvYmoNPDwgDS9TIC9Ob3JtYWwgDS9BIFsgMTU3IDAgUiBdIA0vQyAvTm9ybWFsIA0vUGcgMTcgMCBSIA0vSyAxMSANL1AgMjM0IDAgUiANPj4gDWVuZG9iag0xNTcgMCBvYmoNPDwgDS9PIC9MYXlvdXQgDS9TdGFydEluZGVudCAzNiANL1RleHRJbmRlbnQgLTM1Ljk5OTk4IA0+PiANZW5kb2JqDTE1OCAwIG9iag08PCANL1MgL05vcm1hbCANL0EgWyAxNTkgMCBSIF0gDS9DIC9Ob3JtYWwgDS9QZyAxNyAwIFIgDS9LIFsgMTIgMTYwIDAgUiAxNCBdIA0vUCAyMzQgMCBSIA0+PiANZW5kb2JqDTE1OSAwIG9iag08PCANL08gL0xheW91dCANL1N0YXJ0SW5kZW50IDM2IA0vVGV4dEluZGVudCAtMzUuOTk5OTggDT4+IA1lbmRvYmoNMTYwIDAgb2JqDTw8IA0vUyAvTGluayANL1AgMTU4IDAgUiANL0sgWyAxNjEgMCBSIDw8IC9UeXBlIC9PQkpSIC9QZyAxNyAwIFIgL09iaiA0OSAwIFIgPj4gXSANPj4gDWVuZG9iag0xNjEgMCBvYmoNPDwgDS9TIC9VbmRlcmxpbmUgDS9QIDE2MCAwIFIgDS9BIDI1NiAwIFIgDS9QZyAxNyAwIFIgDS9LIDEzIA0+PiANZW5kb2JqDTE2MiAwIG9iag08PCANL1MgL05vcm1hbCANL0EgWyAxNjMgMCBSIF0gDS9DIC9Ob3JtYWwgDS9QZyAxNyAwIFIgDS9LIDE1IA0vUCAyMzQgMCBSIA0+PiANZW5kb2JqDTE2MyAwIG9iag08PCANL08gL0xheW91dCANL1N0YXJ0SW5kZW50IDM2IA0vVGV4dEluZGVudCAtMzUuOTk5OTggDT4+IA1lbmRvYmoNMTY0IDAgb2JqDTw8IA0vUyAvTm9ybWFsIA0vQSBbIDE2NSAwIFIgXSANL0MgL05vcm1hbCANL1BnIDE3IDAgUiANL0sgMTYgDS9QIDIzNCAwIFIgDT4+IA1lbmRvYmoNMTY1IDAgb2JqDTw8IA0vTyAvTGF5b3V0IA0vU3RhcnRJbmRlbnQgMzYgDS9UZXh0SW5kZW50IC0zNS45OTk5OCANPj4gDWVuZG9iag0xNjYgMCBvYmoNPDwgDS9TIC9Ob3JtYWwgDS9BIFsgMTY3IDAgUiBdIA0vQyAvTm9ybWFsIA0vUGcgMjEgMCBSIA0vSyAwIA0vUCAyMzQgMCBSIA0+PiANZW5kb2JqDTE2NyAwIG9iag08PCANL08gL0xheW91dCANL1N0YXJ0SW5kZW50IDM2IA0vVGV4dEluZGVudCAtMzUuOTk5OTggDT4+IA1lbmRvYmoNMTY4IDAgb2JqDTw8IA0vUyAvTm9ybWFsIA0vQSBbIDE2OSAwIFIgXSANL0MgL05vcm1hbCANL1BnIDIxIDAgUiANL0sgWyAxIDE3MCAwIFIgMyBdIA0vUCAyMzQgMCBSIA0+PiANZW5kb2JqDTE2OSAwIG9iag08PCANL08gL0xheW91dCANL1N0YXJ0SW5kZW50IDM2IA0vVGV4dEluZGVudCAtMzUuOTk5OTggDT4+IA1lbmRvYmoNMTcwIDAgb2JqDTw8IA0vUyAvTGluayANL1AgMTY4IDAgUiANL0sgWyAxNzEgMCBSIDw8IC9UeXBlIC9PQkpSIC9QZyAyMSAwIFIgL09iaiA1MSAwIFIgPj4gXSANPj4gDWVuZG9iag0xNzEgMCBvYmoNPDwgDS9TIC9VbmRlcmxpbmUgDS9QIDE3MCAwIFIgDS9BIDI1OCAwIFIgDS9QZyAyMSAwIFIgDS9LIDIgDT4+IA1lbmRvYmoNMTcyIDAgb2JqDTw8IA0vUyAvTm9ybWFsIA0vQSBbIDE3MyAwIFIgXSANL0MgL05vcm1hbCANL1BnIDIxIDAgUiANL0sgWyA0IDE3NCAwIFIgNiBdIA0vUCAyMzQgMCBSIA0+PiANZW5kb2JqDTE3MyAwIG9iag08PCANL08gL0xheW91dCANL1N0YXJ0SW5kZW50IDM2IA0vVGV4dEluZGVudCAtMzUuOTk5OTggDT4+IA1lbmRvYmoNMTc0IDAgb2JqDTw8IA0vUyAvTGluayANL1AgMTcyIDAgUiANL0sgWyAxNzUgMCBSIDw8IC9UeXBlIC9PQkpSIC9QZyAyMSAwIFIgL09iaiA1MyAwIFIgPj4gXSANPj4gDWVuZG9iag0xNzUgMCBvYmoNPDwgDS9TIC9VbmRlcmxpbmUgDS9QIDE3NCAwIFIgDS9BIDI1OSAwIFIgDS9QZyAyMSAwIFIgDS9LIDUgDT4+IA1lbmRvYmoNMTc2IDAgb2JqDTw8IA0vUyAvTm9ybWFsIA0vQSBbIDE3NyAwIFIgXSANL0MgL05vcm1hbCANL1BnIDIxIDAgUiANL0sgNyANL1AgMjM0IDAgUiANPj4gDWVuZG9iag0xNzcgMCBvYmoNPDwgDS9PIC9MYXlvdXQgDS9TdGFydEluZGVudCAzNiANL1RleHRJbmRlbnQgLTM1Ljk5OTk4IA0+PiANZW5kb2JqDTE3OCAwIG9iag08PCANL1MgL05vcm1hbCANL0EgWyAxNzkgMCBSIF0gDS9DIC9Ob3JtYWwgDS9QZyAyMSAwIFIgDS9LIDggDS9QIDIzNCAwIFIgDT4+IA1lbmRvYmoNMTc5IDAgb2JqDTw8IA0vTyAvTGF5b3V0IA0vU3RhcnRJbmRlbnQgMzYgDS9UZXh0SW5kZW50IC0zNS45OTk5OCANPj4gDWVuZG9iag0xODAgMCBvYmoNPDwgDS9TIC9Ob3JtYWwgDS9BIFsgMTgxIDAgUiBdIA0vQyAvTm9ybWFsIA0vUGcgMjEgMCBSIA0vSyA5IA0vUCAyMzQgMCBSIA0+PiANZW5kb2JqDTE4MSAwIG9iag08PCANL08gL0xheW91dCANL1N0YXJ0SW5kZW50IDM2IA0vVGV4dEluZGVudCAtMzUuOTk5OTggDT4+IA1lbmRvYmoNMTgyIDAgb2JqDTw8IA0vUyAvTm9ybWFsIA0vQSBbIDE4MyAwIFIgXSANL0MgL05vcm1hbCANL1BnIDIxIDAgUiANL0sgMTAgDS9QIDIzNCAwIFIgDT4+IA1lbmRvYmoNMTgzIDAgb2JqDTw8IA0vTyAvTGF5b3V0IA0vU3RhcnRJbmRlbnQgMzYgDS9UZXh0SW5kZW50IC0zNS45OTk5OCANPj4gDWVuZG9iag0xODQgMCBvYmoNPDwgDS9TIC9Ob3JtYWwgDS9BIFsgMTg1IDAgUiBdIA0vQyAvTm9ybWFsIA0vUGcgMjEgMCBSIA0vSyAxMSANL1AgMjM0IDAgUiANPj4gDWVuZG9iag0xODUgMCBvYmoNPDwgDS9PIC9MYXlvdXQgDS9TdGFydEluZGVudCAzNiANL1RleHRJbmRlbnQgLTM1Ljk5OTk4IA0+PiANZW5kb2JqDTE4NiAwIG9iag08PCANL1MgL05vcm1hbCANL0EgWyAxODcgMCBSIF0gDS9DIC9Ob3JtYWwgDS9QZyAyMSAwIFIgDS9LIFsgMTIgMTg4IDAgUiAxNCBdIA0vUCAyMzQgMCBSIA0+PiANZW5kb2JqDTE4NyAwIG9iag08PCANL08gL0xheW91dCANL1N0YXJ0SW5kZW50IDM2IA0vVGV4dEluZGVudCAtMzUuOTk5OTggDT4+IA1lbmRvYmoNMTg4IDAgb2JqDTw8IA0vUyAvTGluayANL1AgMTg2IDAgUiANL0sgWyAxODkgMCBSIDw8IC9UeXBlIC9PQkpSIC9QZyAyMSAwIFIgL09iaiA1NSAwIFIgPj4gXSANPj4gDWVuZG9iag0xODkgMCBvYmoNPDwgDS9TIC9VbmRlcmxpbmUgDS9QIDE4OCAwIFIgDS9BIDI2MCAwIFIgDS9QZyAyMSAwIFIgDS9LIDEzIA0+PiANZW5kb2JqDTE5MCAwIG9iag08PCANL1MgL05vcm1hbCANL0EgWyAxOTEgMCBSIF0gDS9DIC9Ob3JtYWwgDS9QZyAyMSAwIFIgDS9LIDE1IA0vUCAyMzQgMCBSIA0+PiANZW5kb2JqDTE5MSAwIG9iag08PCANL08gL0xheW91dCANL1N0YXJ0SW5kZW50IDM2IA0vVGV4dEluZGVudCAtMzUuOTk5OTggDT4+IA1lbmRvYmoNMTkyIDAgb2JqDTw8IA0vUyAvTm9ybWFsIA0vQSBbIDE5MyAwIFIgXSANL0MgL05vcm1hbCANL1BnIDIxIDAgUiANL0sgWyAxNiAxOTQgMCBSIDE4IF0gDS9QIDIzNCAwIFIgDT4+IA1lbmRvYmoNMTkzIDAgb2JqDTw8IA0vTyAvTGF5b3V0IA0vU3RhcnRJbmRlbnQgMzYgDS9UZXh0SW5kZW50IC0zNS45OTk5OCANPj4gDWVuZG9iag0xOTQgMCBvYmoNPDwgDS9TIC9MaW5rIA0vUCAxOTIgMCBSIA0vSyBbIDE5NSAwIFIgPDwgL1R5cGUgL09CSlIgL1BnIDIxIDAgUiAvT2JqIDU3IDAgUiA+PiBdIA0+PiANZW5kb2JqDTE5NSAwIG9iag08PCANL1MgL1VuZGVybGluZSANL1AgMTk0IDAgUiANL0EgMjYxIDAgUiANL1BnIDIxIDAgUiANL0sgMTcgDT4+IA1lbmRvYmoNMTk2IDAgb2JqDTw8IA0vUyAvTm9ybWFsIA0vQSBbIDE5NyAwIFIgXSANL0MgL05vcm1hbCANL1BnIDIxIDAgUiANL0sgMTkgDS9QIDIzNCAwIFIgDT4+IA1lbmRvYmoNMTk3IDAgb2JqDTw8IA0vTyAvTGF5b3V0IA0vU3RhcnRJbmRlbnQgMzYgDS9UZXh0SW5kZW50IC0zNS45OTk5OCANPj4gDWVuZG9iag0xOTggMCBvYmoNPDwgDS9TIC9Ob3JtYWwgDS9BIFsgMTk5IDAgUiBdIA0vQyAvTm9ybWFsIA0vUGcgMjEgMCBSIA0vSyAyMCANL1AgMjM0IDAgUiANPj4gDWVuZG9iag0xOTkgMCBvYmoNPDwgDS9PIC9MYXlvdXQgDS9TdGFydEluZGVudCAzNiANL1RleHRJbmRlbnQgLTM1Ljk5OTk4IA0+PiANZW5kb2JqDTIwMCAwIG9iag08PCANL1MgL05vcm1hbCANL0EgWyAyMDEgMCBSIF0gDS9DIC9Ob3JtYWwgDS9QZyAyNSAwIFIgDS9LIDAgDS9QIDIzNCAwIFIgDT4+IA1lbmRvYmoNMjAxIDAgb2JqDTw8IA0vTyAvTGF5b3V0IA0vU3RhcnRJbmRlbnQgMzYgDS9UZXh0SW5kZW50IC0zNS45OTk5OCANPj4gDWVuZG9iag0yMDIgMCBvYmoNPDwgDS9TIC9Ob3JtYWwgDS9BIFsgMjAzIDAgUiBdIA0vQyAvTm9ybWFsIA0vUGcgMjUgMCBSIA0vSyAxIA0vUCAyMzQgMCBSIA0+PiANZW5kb2JqDTIwMyAwIG9iag08PCANL08gL0xheW91dCANL1N0YXJ0SW5kZW50IDM2IA0vVGV4dEluZGVudCAtMzUuOTk5OTggDT4+IA1lbmRvYmoNMjA0IDAgb2JqDTw8IA0vUyAvTm9ybWFsIA0vQSBbIDIwNSAwIFIgXSANL0MgL05vcm1hbCANL1BnIDI1IDAgUiANL0sgMiANL1AgMjM0IDAgUiANPj4gDWVuZG9iag0yMDUgMCBvYmoNPDwgDS9PIC9MYXlvdXQgDS9TdGFydEluZGVudCAzNiANL1RleHRJbmRlbnQgLTM1Ljk5OTk4IA0+PiANZW5kb2JqDTIwNiAwIG9iag08PCANL1MgL05vcm1hbCANL0EgWyAyMDcgMCBSIF0gDS9DIC9Ob3JtYWwgDS9QZyAyNSAwIFIgDS9LIDMgDS9QIDIzNCAwIFIgDT4+IA1lbmRvYmoNMjA3IDAgb2JqDTw8IA0vTyAvTGF5b3V0IA0vU3RhcnRJbmRlbnQgMzYgDS9UZXh0SW5kZW50IC0zNS45OTk5OCANPj4gDWVuZG9iag0yMDggMCBvYmoNPDwgDS9TIC9Ob3JtYWwgDS9BIFsgMjA5IDAgUiBdIA0vQyAvTm9ybWFsIA0vUGcgMjUgMCBSIA0vSyA0IA0vUCAyMzQgMCBSIA0+PiANZW5kb2JqDTIwOSAwIG9iag08PCANL08gL0xheW91dCANL1N0YXJ0SW5kZW50IDM2IA0vVGV4dEluZGVudCAtMzUuOTk5OTggDT4+IA1lbmRvYmoNMjEwIDAgb2JqDTw8IA0vUyAvTm9ybWFsIA0vQSBbIDIxMSAwIFIgXSANL0MgL05vcm1hbCANL1BnIDI1IDAgUiANL0sgNSANL1AgMjM0IDAgUiANPj4gDWVuZG9iag0yMTEgMCBvYmoNPDwgDS9PIC9MYXlvdXQgDS9TdGFydEluZGVudCAzNiANL1RleHRJbmRlbnQgLTM1Ljk5OTk4IA0+PiANZW5kb2JqDTIxMiAwIG9iag08PCANL1MgL05vcm1hbCANL0EgWyAyMTMgMCBSIF0gDS9DIC9Ob3JtYWwgDS9QZyAyNSAwIFIgDS9LIFsgNiAyMTQgMCBSIDggXSANL1AgMjM0IDAgUiANPj4gDWVuZG9iag0yMTMgMCBvYmoNPDwgDS9PIC9MYXlvdXQgDS9TdGFydEluZGVudCAzNiANL1RleHRJbmRlbnQgLTM1Ljk5OTk4IA0+PiANZW5kb2JqDTIxNCAwIG9iag08PCANL1MgL0xpbmsgDS9QIDIxMiAwIFIgDS9LIFsgMjE1IDAgUiA8PCAvVHlwZSAvT0JKUiAvUGcgMjUgMCBSIC9PYmogNTkgMCBSID4+IF0gDT4+IA1lbmRvYmoNMjE1IDAgb2JqDTw8IA0vUyAvVW5kZXJsaW5lIA0vUCAyMTQgMCBSIA0vQSAyNjMgMCBSIA0vUGcgMjUgMCBSIA0vSyA3IA0+PiANZW5kb2JqDTIxNiAwIG9iag08PCANL1MgL05vcm1hbCANL0EgWyAyMTcgMCBSIF0gDS9DIC9Ob3JtYWwgDS9QZyAyNSAwIFIgDS9LIDkgDS9QIDIzNCAwIFIgDT4+IA1lbmRvYmoNMjE3IDAgb2JqDTw8IA0vTyAvTGF5b3V0IA0vU3RhcnRJbmRlbnQgMzYgDS9UZXh0SW5kZW50IC0zNS45OTk5OCANPj4gDWVuZG9iag0yMTggMCBvYmoNPDwgDS9TIC9Ob3JtYWwgDS9BIFsgMjE5IDAgUiBdIA0vQyAvTm9ybWFsIA0vUGcgMjUgMCBSIA0vSyBbIDEwIDIyMCAwIFIgMTIgXSANL1AgMjM0IDAgUiANPj4gDWVuZG9iag0yMTkgMCBvYmoNPDwgDS9PIC9MYXlvdXQgDS9TdGFydEluZGVudCAzNiANL1RleHRJbmRlbnQgLTM1Ljk5OTk4IA0+PiANZW5kb2JqDTIyMCAwIG9iag08PCANL1MgL0xpbmsgDS9QIDIxOCAwIFIgDS9LIFsgMjIxIDAgUiA8PCAvVHlwZSAvT0JKUiAvUGcgMjUgMCBSIC9PYmogNjEgMCBSID4+IF0gDT4+IA1lbmRvYmoNMjIxIDAgb2JqDTw8IA0vUyAvVW5kZXJsaW5lIA0vUCAyMjAgMCBSIA0vQSAyNjQgMCBSIA0vUGcgMjUgMCBSIA0vSyAxMSANPj4gDWVuZG9iag0yMjIgMCBvYmoNPDwgDS9TIC9Ob3JtYWwgDS9BIFsgMjIzIDAgUiBdIA0vQyAvTm9ybWFsIA0vUGcgMjUgMCBSIA0vSyAxMyANL1AgMjM0IDAgUiANPj4gDWVuZG9iag0yMjMgMCBvYmoNPDwgDS9PIC9MYXlvdXQgDS9TdGFydEluZGVudCAzNiANL1RleHRJbmRlbnQgLTM1Ljk5OTk4IA0+PiANZW5kb2JqDTIyNCAwIG9iag08PCANL1MgL05vcm1hbCANL0EgWyAyMjUgMCBSIF0gDS9DIC9Ob3JtYWwgDS9QZyAyNSAwIFIgDS9LIDE0IA0vUCAyMzQgMCBSIA0+PiANZW5kb2JqDTIyNSAwIG9iag08PCANL08gL0xheW91dCANL1N0YXJ0SW5kZW50IDM2IA0vVGV4dEluZGVudCAtMzUuOTk5OTggDT4+IA1lbmRvYmoNMjI2IDAgb2JqDTw8IA0vUyAvTm9ybWFsIA0vQSBbIDIyNyAwIFIgXSANL0MgL05vcm1hbCANL1BnIDI1IDAgUiANL0sgMTUgDS9QIDIzNCAwIFIgDT4+IA1lbmRvYmoNMjI3IDAgb2JqDTw8IA0vTyAvTGF5b3V0IA0vU3RhcnRJbmRlbnQgMzYgDS9UZXh0SW5kZW50IC0zNS45OTk5OCANPj4gDWVuZG9iag0yMjggMCBvYmoNPDwgDS9TIC9Ob3JtYWwgDS9BIFsgMjI5IDAgUiBdIA0vQyAvTm9ybWFsIA0vUGcgMjkgMCBSIA0vSyBbIDAgMjMwIDAgUiAyIF0gDS9QIDIzNCAwIFIgDT4+IA1lbmRvYmoNMjI5IDAgb2JqDTw8IA0vTyAvTGF5b3V0IA0vU3RhcnRJbmRlbnQgMzYgDS9UZXh0SW5kZW50IC0zNS45OTk5OCANPj4gDWVuZG9iag0yMzAgMCBvYmoNPDwgDS9TIC9MaW5rIA0vUCAyMjggMCBSIA0vSyBbIDIzMSAwIFIgPDwgL1R5cGUgL09CSlIgL1BnIDI5IDAgUiAvT2JqIDYzIDAgUiA+PiBdIA0+PiANZW5kb2JqDTIzMSAwIG9iag08PCANL1MgL1VuZGVybGluZSANL1AgMjMwIDAgUiANL0EgMjY2IDAgUiANL1BnIDI5IDAgUiANL0sgMSANPj4gDWVuZG9iag0yMzIgMCBvYmoNPDwgDS9TIC9Ob3JtYWwgDS9BIFsgMjMzIDAgUiBdIA0vQyAvTm9ybWFsIA0vUGcgMjkgMCBSIA0vSyAzIA0vUCAyMzQgMCBSIA0+PiANZW5kb2JqDTIzMyAwIG9iag08PCANL08gL0xheW91dCANL1N0YXJ0SW5kZW50IDM2IA0vVGV4dEluZGVudCAtMzUuOTk5OTggDT4+IA1lbmRvYmoNMjM0IDAgb2JqDTw8IA0vUyAvU2VjdCANL1AgMjc0IDAgUiANL0sgWyA2NiAwIFIgNjcgMCBSIDcwIDAgUiA3MSAwIFIgNzQgMCBSIDc3IDAgUiA3OCAwIFIgNzkgMCBSIDgwIDAgUiA4MSAwIFIgDTgyIDAgUiA4MyAwIFIgODQgMCBSIDg1IDAgUiA4NiAwIFIgODcgMCBSIDIzNSAwIFIgOTYgMCBSIDk3IDAgUiANOTggMCBSIDEwMCAwIFIgMTAyIDAgUiAxMDQgMCBSIDEwNSAwIFIgMTA2IDAgUiAxMDcgMCBSIDEwOCAwIFIgMTA5IDAgUiANMTEwIDAgUiAxMTEgMCBSIDExMiAwIFIgMTEzIDAgUiAxMTQgMCBSIDExOCAwIFIgMTIwIDAgUiAxMjIgMCBSIA0xMjYgMCBSIDEyOCAwIFIgMTMwIDAgUiAxMzIgMCBSIDEzNCAwIFIgMTM2IDAgUiAxMzggMCBSIDE0MiAwIFIgDTE0NCAwIFIgMTQ2IDAgUiAxNDggMCBSIDE1MCAwIFIgMTUyIDAgUiAxNTQgMCBSIDE1NiAwIFIgMTU4IDAgUiANMTYyIDAgUiAxNjQgMCBSIDE2NiAwIFIgMTY4IDAgUiAxNzIgMCBSIDE3NiAwIFIgMTc4IDAgUiAxODAgMCBSIA0xODIgMCBSIDE4NCAwIFIgMTg2IDAgUiAxOTAgMCBSIDE5MiAwIFIgMTk2IDAgUiAxOTggMCBSIDIwMCAwIFIgDTIwMiAwIFIgMjA0IDAgUiAyMDYgMCBSIDIwOCAwIFIgMjEwIDAgUiAyMTIgMCBSIDIxNiAwIFIgMjE4IDAgUiANMjIyIDAgUiAyMjQgMCBSIDIyNiAwIFIgMjI4IDAgUiAyMzIgMCBSIF0gDT4+IA1lbmRvYmoNMjM1IDAgb2JqDTw8IA0vUyAvTCANL1AgMjM0IDAgUiANL0sgWyAyMzYgMCBSIDIzNyAwIFIgMjM4IDAgUiAyMzkgMCBSIF0gDT4+IA1lbmRvYmoNMjM2IDAgb2JqDTw8IA0vUyAvTEkgDS9QIDIzNSAwIFIgDS9LIDg4IDAgUiANPj4gDWVuZG9iag0yMzcgMCBvYmoNPDwgDS9TIC9MSSANL1AgMjM1IDAgUiANL0sgOTAgMCBSIA0+PiANZW5kb2JqDTIzOCAwIG9iag08PCANL1MgL0xJIA0vUCAyMzUgMCBSIA0vSyA5MiAwIFIgDT4+IA1lbmRvYmoNMjM5IDAgb2JqDTw8IA0vUyAvTEkgDS9QIDIzNSAwIFIgDS9LIDk0IDAgUiANPj4gDWVuZG9iag0yNDAgMCBvYmoNPDwgDS9OdW1zIFsgMCAyNDEgMCBSIDEgNzIgMCBSIDIgNzUgMCBSIDMgMjQ0IDAgUiA0IDI0NSAwIFIgNSAyNDcgMCBSIDYgMjUwIDAgUiANNyAyNTEgMCBSIDggMTE2IDAgUiA5IDEyNCAwIFIgMTAgMjU0IDAgUiAxMSAxNDAgMCBSIDEyIDE2MCAwIFIgMTMgDTI1NyAwIFIgMTQgMTcwIDAgUiAxNSAxNzQgMCBSIDE2IDE4OCAwIFIgMTcgMTk0IDAgUiAxOCAyNjIgMCBSIDE5IA0yMTQgMCBSIDIwIDIyMCAwIFIgMjEgMjY1IDAgUiAyMiAyMzAgMCBSIF0gDT4+IA1lbmRvYmoNMjQxIDAgb2JqDVsgDTY2IDAgUiA2NyAwIFIgNzAgMCBSIDcxIDAgUiA3MyAwIFIgNzEgMCBSIDc0IDAgUiA3NiAwIFIgNzQgMCBSIDc3IDAgUiANNzggMCBSIDc5IDAgUiA4MCAwIFIgODEgMCBSIDgyIDAgUiANXQ1lbmRvYmoNMjQyIDAgb2JqDTw8IA0vTyAvTGF5b3V0IA0vVGV4dERlY29yYXRpb25UeXBlIC9VbmRlcmxpbmUgDT4+IA1lbmRvYmoNMjQzIDAgb2JqDTw8IA0vTyAvTGF5b3V0IA0vVGV4dERlY29yYXRpb25UeXBlIC9VbmRlcmxpbmUgDT4+IA1lbmRvYmoNMjQ0IDAgb2JqDVsgDTgyIDAgUiA4MyAwIFIgODQgMCBSIDg1IDAgUiANXQ1lbmRvYmoNMjQ1IDAgb2JqDVsgDTg2IDAgUiA4NyAwIFIgODggMCBSIDkwIDAgUiA5MiAwIFIgOTQgMCBSIDk2IDAgUiA5NyAwIFIgOTggMCBSIDk5IDAgUiANOTggMCBSIA1dDWVuZG9iag0yNDYgMCBvYmoNPDwgDS9PIC9MYXlvdXQgDS9UZXh0RGVjb3JhdGlvblR5cGUgL1VuZGVybGluZSANPj4gDWVuZG9iag0yNDcgMCBvYmoNWyANOTggMCBSIDEwMCAwIFIgMTAxIDAgUiAxMDAgMCBSIDEwMiAwIFIgMTAzIDAgUiAxMDIgMCBSIDEwNCAwIFIgMTA1IDAgUiANDV0NZW5kb2JqDTI0OCAwIG9iag08PCANL08gL0xheW91dCANL1RleHREZWNvcmF0aW9uVHlwZSAvVW5kZXJsaW5lIA0+PiANZW5kb2JqDTI0OSAwIG9iag08PCANL08gL0xheW91dCANL1RleHREZWNvcmF0aW9uVHlwZSAvVW5kZXJsaW5lIA0+PiANZW5kb2JqDTI1MCAwIG9iag1bIA0xMDYgMCBSIDEwNyAwIFIgMTA4IDAgUiAxMDkgMCBSIDExMCAwIFIgMTExIDAgUiANXQ1lbmRvYmoNMjUxIDAgb2JqDVsgDTExMSAwIFIgMTEyIDAgUiAxMTMgMCBSIDExNCAwIFIgMTE3IDAgUiAxMTQgMCBSIDExOCAwIFIgMTIwIDAgUiAxMjIgMCBSIA0xMjUgMCBSIDEyMiAwIFIgMTI2IDAgUiAxMjggMCBSIDEzMCAwIFIgMTMyIDAgUiAxMzQgMCBSIA1dDWVuZG9iag0yNTIgMCBvYmoNPDwgDS9PIC9MYXlvdXQgDS9UZXh0RGVjb3JhdGlvblR5cGUgL1VuZGVybGluZSANPj4gDWVuZG9iag0yNTMgMCBvYmoNPDwgDS9PIC9MYXlvdXQgDS9UZXh0RGVjb3JhdGlvblR5cGUgL1VuZGVybGluZSANPj4gDWVuZG9iag0yNTQgMCBvYmoNWyANMTM2IDAgUiAxMzggMCBSIDE0MSAwIFIgMTM4IDAgUiAxNDIgMCBSIDE0NCAwIFIgMTQ2IDAgUiAxNDggMCBSIDE1MCAwIFIgDTE1MiAwIFIgMTU0IDAgUiAxNTYgMCBSIDE1OCAwIFIgMTYxIDAgUiAxNTggMCBSIDE2MiAwIFIgMTY0IDAgUiANDV0NZW5kb2JqDTI1NSAwIG9iag08PCANL08gL0xheW91dCANL1RleHREZWNvcmF0aW9uVHlwZSAvVW5kZXJsaW5lIA0+PiANZW5kb2JqDTI1NiAwIG9iag08PCANL08gL0xheW91dCANL1RleHREZWNvcmF0aW9uVHlwZSAvVW5kZXJsaW5lIA0+PiANZW5kb2JqDTI1NyAwIG9iag1bIA0xNjYgMCBSIDE2OCAwIFIgMTcxIDAgUiAxNjggMCBSIDE3MiAwIFIgMTc1IDAgUiAxNzIgMCBSIDE3NiAwIFIgMTc4IDAgUiANMTgwIDAgUiAxODIgMCBSIDE4NCAwIFIgMTg2IDAgUiAxODkgMCBSIDE4NiAwIFIgMTkwIDAgUiAxOTIgMCBSIA0xOTUgMCBSIDE5MiAwIFIgMTk2IDAgUiAxOTggMCBSIA1dDWVuZG9iag0yNTggMCBvYmoNPDwgDS9PIC9MYXlvdXQgDS9UZXh0RGVjb3JhdGlvblR5cGUgL1VuZGVybGluZSANPj4gDWVuZG9iag0yNTkgMCBvYmoNPDwgDS9PIC9MYXlvdXQgDS9UZXh0RGVjb3JhdGlvblR5cGUgL1VuZGVybGluZSANPj4gDWVuZG9iag0yNjAgMCBvYmoNPDwgDS9PIC9MYXlvdXQgDS9UZXh0RGVjb3JhdGlvblR5cGUgL1VuZGVybGluZSANPj4gDWVuZG9iag0yNjEgMCBvYmoNPDwgDS9PIC9MYXlvdXQgDS9UZXh0RGVjb3JhdGlvblR5cGUgL1VuZGVybGluZSANPj4gDWVuZG9iag0yNjIgMCBvYmoNWyANMjAwIDAgUiAyMDIgMCBSIDIwNCAwIFIgMjA2IDAgUiAyMDggMCBSIDIxMCAwIFIgMjEyIDAgUiAyMTUgMCBSIDIxMiAwIFIgDTIxNiAwIFIgMjE4IDAgUiAyMjEgMCBSIDIxOCAwIFIgMjIyIDAgUiAyMjQgMCBSIDIyNiAwIFIgDV0NZW5kb2JqDTI2MyAwIG9iag08PCANL08gL0xheW91dCANL1RleHREZWNvcmF0aW9uVHlwZSAvVW5kZXJsaW5lIA0+PiANZW5kb2JqDTI2NCAwIG9iag08PCANL08gL0xheW91dCANL1RleHREZWNvcmF0aW9uVHlwZSAvVW5kZXJsaW5lIA0+PiANZW5kb2JqDTI2NSAwIG9iag1bIA0yMjggMCBSIDIzMSAwIFIgMjI4IDAgUiAyMzIgMCBSIA1dDWVuZG9iag0yNjYgMCBvYmoNPDwgDS9PIC9MYXlvdXQgDS9UZXh0RGVjb3JhdGlvblR5cGUgL1VuZGVybGluZSANPj4gDWVuZG9iag0yNjcgMCBvYmoNPDwgDS9TIC9EIA0+PiANZW5kb2JqDTI2OCAwIG9iag08PCANL051bXMgWyAwIDI2NyAwIFIgXSANPj4gDWVuZG9iag0yNjkgMCBvYmoNPDwgDS9Qcm9kdWNlciAoQWNyb2JhdCBEaXN0aWxsZXIgNS4wLjUgXChXaW5kb3dzXCkpDS9BdXRob3IgKFN0ZXZlIFNjaG5laWRlcikNL0NyZWF0b3IgKEFjcm9iYXQgUERGTWFrZXIgNS4wIGZvciBXb3JkKQ0vTW9kRGF0ZSAoRDoyMDA0MDYxMDE3MjEyOS0wNicwMCcpDS9UaXRsZSAoXDM3NlwzNzdcMDAwV1wwMDBoXDAwMGFcMDAwdCBcMDMxXDAwMHNcMDAwIFwwMDBDXDAwMGhcMDAwYVwwMDBuXDAwMGdcMDAwXA1lXDAwMGRcMDAwIFwwMDBBXDAwMGJcMDAwb1wwMDB1XDAwMHRcMDAwIFwwMDB0XDAwMGhcMDAwZVwwMDAgXDAwME5cMDAwZVwwMDBcDXdcMDAwIFwwMDBNXDAwMGVcMDAwZFwwMDBpXDAwMGFcMDAwICBcMDIzXDAwMCBcMDAwT1wwMDByXDAwMCBcMDAwaFwwMDBhXDAwMFwNc1wwMDBuIFwwMzFcMDAwdCkNL0NyZWF0aW9uRGF0ZSAoRDoyMDA0MDYxMDE3MjEwOC0wNycwMCcpDT4+IA1lbmRvYmoNMjcwIDAgb2JqDTw8IC9UeXBlIC9NZXRhZGF0YSAvU3VidHlwZSAvWE1MIC9MZW5ndGggMTIyNCA+PiANc3RyZWFtDQo8P3hwYWNrZXQgYmVnaW49JycgaWQ9J1c1TTBNcENlaGlIenJlU3pOVGN6a2M5ZCcgYnl0ZXM9JzEyMjMnPz48cmRmOlJERiB4bWxuczpyZGY9J2h0dHA6Ly93d3cudzMub3JnLzE5OTkvMDIvMjItcmRmLXN5bnRheC1ucyMnIHhtbG5zOmlYPSdodHRwOi8vbnMuYWRvYmUuY29tL2lYLzEuMC8nPjxyZGY6RGVzY3JpcHRpb24gYWJvdXQ9JycgeG1sbnM9J2h0dHA6Ly9ucy5hZG9iZS5jb20vcGRmLzEuMy8nIHhtbG5zOnBkZj0naHR0cDovL25zLmFkb2JlLmNvbS9wZGYvMS4zLycgcGRmOkNyZWF0aW9uRGF0ZT0nMjAwNC0wNi0xMVQwMDoyMTowOFonIHBkZjpNb2REYXRlPScyMDA0LTA2LTExVDAwOjIxOjA4WicgcGRmOlByb2R1Y2VyPSdBY3JvYmF0IERpc3RpbGxlciA1LjAuNSAoV2luZG93cyknIHBkZjpBdXRob3I9J1N0ZXZlIFNjaG5laWRlcicgcGRmOkNyZWF0b3I9J0Fjcm9iYXQgUERGTWFrZXIgNS4wIGZvciBXb3JkJz48cGRmOlRpdGxlPldoYXTigJlzIENoYW5nZWQgQWJvdXQgdGhlIE5ldyBNZWRpYSDigJMgT3IgaGFzbuKAmXQ8L3BkZjpUaXRsZT48L3JkZjpEZXNjcmlwdGlvbj4KPHJkZjpEZXNjcmlwdGlvbiBhYm91dD0nJyB4bWxucz0naHR0cDovL25zLmFkb2JlLmNvbS94YXAvMS4wLycgeG1sbnM6eGFwPSdodHRwOi8vbnMuYWRvYmUuY29tL3hhcC8xLjAvJyB4YXA6Q3JlYXRlRGF0ZT0nMjAwNC0wNi0xMVQwMDoyMTowOFonIHhhcDpNb2RpZnlEYXRlPScyMDA0LTA2LTExVDAwOjIxOjA4WicgeGFwOkF1dGhvcj0nU3RldmUgU2NobmVpZGVyJyB4YXA6TWV0YWRhdGFEYXRlPScyMDA0LTA2LTExVDAwOjIxOjA4Wic+PHhhcDpUaXRsZT48cmRmOkFsdD48cmRmOmxpIHhtbDpsYW5nPSd4LWRlZmF1bHQnPldoYXTigJlzIENoYW5nZWQgQWJvdXQgdGhlIE5ldyBNZWRpYSDigJMgT3IgaGFzbuKAmXQ8L3JkZjpsaT48L3JkZjpBbHQ+PC94YXA6VGl0bGU+PC9yZGY6RGVzY3JpcHRpb24+CjxyZGY6RGVzY3JpcHRpb24gYWJvdXQ9JycgeG1sbnM9J2h0dHA6Ly9wdXJsLm9yZy9kYy9lbGVtZW50cy8xLjEvJyB4bWxuczpkYz0naHR0cDovL3B1cmwub3JnL2RjL2VsZW1lbnRzLzEuMS8nIGRjOmNyZWF0b3I9J1N0ZXZlIFNjaG5laWRlcic+PGRjOnRpdGxlPldoYXTigJlzIENoYW5nZWQgQWJvdXQgdGhlIE5ldyBNZWRpYSDigJMgT3IgaGFzbuKAmXQ8L2RjOnRpdGxlPjwvcmRmOkRlc2NyaXB0aW9uPgo8L3JkZjpSREY+PD94cGFja2V0IGVuZD0ncic/PgplbmRzdHJlYW0NZW5kb2JqDTI3MSAwIG9iag08PCANL1R5cGUgL1BhZ2VzIA0vS2lkcyBbIDI3NSAwIFIgMSAwIFIgNCAwIFIgNyAwIFIgMTAgMCBSIDEzIDAgUiAxNyAwIFIgMjEgMCBSIDI1IDAgUiAyOSAwIFIgDV0gDS9Db3VudCAxMCANPj4gDWVuZG9iag14cmVmDTAgMjcyIA0wMDAwMDAwMDAwIDY1NTM1IGYNCjAwMDAwOTQyMjAgMDAwMDAgbg0KMDAwMDA5NDUyNyAwMDAwMCBuDQowMDAwMDk2OTI0IDAwMDAwIG4NCjAwMDAwOTY5NDUgMDAwMDAgbg0KMDAwMDA5NzI3OCAwMDAwMCBuDQowMDAwMDk5NTk3IDAwMDAwIG4NCjAwMDAwOTk2MTggMDAwMDAgbg0KMDAwMDA5OTkzOCAwMDAwMCBuDQowMDAwMTAyNTU4IDAwMDAwIG4NCjAwMDAxMDI1NzkgMDAwMDAgbg0KMDAwMDEwMjkxNCAwMDAwMCBuDQowMDAwMTA1MjM5IDAwMDAwIG4NCjAwMDAxMDUyNjEgMDAwMDAgbg0KMDAwMDEwNTYxMiAwMDAwMCBuDQowMDAwMTA1NjQ4IDAwMDAwIG4NCjAwMDAxMDgxODMgMDAwMDAgbg0KMDAwMDEwODIwNSAwMDAwMCBuDQowMDAwMTA4NTQ0IDAwMDAwIG4NCjAwMDAxMDg1ODAgMDAwMDAgbg0KMDAwMDExMDgzOSAwMDAwMCBuDQowMDAwMTEwODYxIDAwMDAwIG4NCjAwMDAxMTEyMDAgMDAwMDAgbg0KMDAwMDExMTI1MCAwMDAwMCBuDQowMDAwMTEzODU3IDAwMDAwIG4NCjAwMDAxMTM4NzkgMDAwMDAgbg0KMDAwMDExNDIxOCAwMDAwMCBuDQowMDAwMTE0MjU0IDAwMDAwIG4NCjAwMDAxMTY2NjIgMDAwMDAgbg0KMDAwMDExNjY4NCAwMDAwMCBuDQowMDAwMTE3MDIzIDAwMDAwIG4NCjAwMDAxMTcwNTIgMDAwMDAgbg0KMDAwMDExNzY5OSAwMDAwMCBuDQowMDAwMTE3NzIwIDAwMDAwIG4NCjAwMDAxMTc4NzMgMDAwMDAgbg0KMDAwMDExODAzMiAwMDAwMCBuDQowMDAwMTE4MjM3IDAwMDAwIG4NCjAwMDAxMjQ4OTggMDAwMDAgbg0KMDAwMDEyNTExMyAwMDAwMCBuDQowMDAwMTg2NzEzIDAwMDAwIG4NCjAwMDAxODY5MzkgMDAwMDAgbg0KMDAwMDE4NzI0MSAwMDAwMCBuDQowMDAwMTg3NDYyIDAwMDAwIG4NCjAwMDAxODc3NTMgMDAwMDAgbg0KMDAwMDE4NzkxMSAwMDAwMCBuDQowMDAwMTg4MDA0IDAwMDAwIG4NCjAwMDAxODgxNjIgMDAwMDAgbg0KMDAwMDE4ODI1NSAwMDAwMCBuDQowMDAwMTg4NDE1IDAwMDAwIG4NCjAwMDAxODg1MDQgMDAwMDAgbg0KMDAwMDE4ODY2NCAwMDAwMCBuDQowMDAwMTg4NzU2IDAwMDAwIG4NCjAwMDAxODg5MTYgMDAwMDAgbg0KMDAwMDE4OTAwNSAwMDAwMCBuDQowMDAwMTg5MTY1IDAwMDAwIG4NCjAwMDAxODkyNTAgMDAwMDAgbg0KMDAwMDE4OTQxMCAwMDAwMCBuDQowMDAwMTg5NTA4IDAwMDAwIG4NCjAwMDAxODk2NjcgMDAwMDAgbg0KMDAwMDE4OTc1NiAwMDAwMCBuDQowMDAwMTg5OTEwIDAwMDAwIG4NCjAwMDAxOTAwMDAgMDAwMDAgbg0KMDAwMDE5MDE1OSAwMDAwMCBuDQowMDAwMTkwMjU4IDAwMDAwIG4NCjAwMDAxOTA0MTggMDAwMDAgbg0KMDAwMDE5MDUwNiAwMDAwMCBuDQowMDAwMTkwNzgxIDAwMDAwIG4NCjAwMDAxOTA4NjAgMDAwMDAgbg0KMDAwMDE5MDkzOSAwMDAwMCBuDQowMDAwMTkwOTc5IDAwMDAwIG4NCjAwMDAxOTExMzEgMDAwMDAgbg0KMDAwMDE5MTIxMCAwMDAwMCBuDQowMDAwMTkxMzAyIDAwMDAwIG4NCjAwMDAxOTE0MDUgMDAwMDAgbg0KMDAwMDE5MTQ4NiAwMDAwMCBuDQowMDAwMTkxNTc4IDAwMDAwIG4NCjAwMDAxOTE2ODEgMDAwMDAgbg0KMDAwMDE5MTc2MiAwMDAwMCBuDQowMDAwMTkxODQxIDAwMDAwIG4NCjAwMDAxOTE5MjEgMDAwMDAgbg0KMDAwMDE5MjAwMSAwMDAwMCBuDQowMDAwMTkyMDgxIDAwMDAwIG4NCjAwMDAxOTIxNjEgMDAwMDAgbg0KMDAwMDE5MjI4MCAwMDAwMCBuDQowMDAwMTkyMzU3IDAwMDAwIG4NCjAwMDAxOTI0MzQgMDAwMDAgbg0KMDAwMDE5MjUxMSAwMDAwMCBuDQowMDAwMTkyNTg4IDAwMDAwIG4NCjAwMDAxOTI2NjUgMDAwMDAgbg0KMDAwMDE5Mjc1NiAwMDAwMCBuDQowMDAwMTkyODMyIDAwMDAwIG4NCjAwMDAxOTI5MjMgMDAwMDAgbg0KMDAwMDE5Mjk5OSAwMDAwMCBuDQowMDAwMTkzMDkwIDAwMDAwIG4NCjAwMDAxOTMxNjYgMDAwMDAgbg0KMDAwMDE5MzI1NyAwMDAwMCBuDQowMDAwMTkzMzMzIDAwMDAwIG4NCjAwMDAxOTM0MTAgMDAwMDAgbg0KMDAwMDE5MzQ4NyAwMDAwMCBuDQowMDAwMTkzNjEzIDAwMDAwIG4NCjAwMDAxOTM2OTIgMDAwMDAgbg0KMDAwMDE5Mzc4NCAwMDAwMCBuDQowMDAwMTkzODY1IDAwMDAwIG4NCjAwMDAxOTM5NTcgMDAwMDAgbg0KMDAwMDE5NDAzOCAwMDAwMCBuDQowMDAwMTk0MTE2IDAwMDAwIG4NCjAwMDAxOTQxOTQgMDAwMDAgbg0KMDAwMDE5NDI3MyAwMDAwMCBuDQowMDAwMTk0MzUyIDAwMDAwIG4NCjAwMDAxOTQ0MzEgMDAwMDAgbg0KMDAwMDE5NDUxMCAwMDAwMCBuDQowMDAwMTk0NTg5IDAwMDAwIG4NCjAwMDAxOTQ3MDggMDAwMDAgbg0KMDAwMDE5NDc4NyAwMDAwMCBuDQowMDAwMTk0ODY2IDAwMDAwIG4NCjAwMDAxOTQ5NzUgMDAwMDAgbg0KMDAwMDE5NTA1MiAwMDAwMCBuDQowMDAwMTk1MTU2IDAwMDAwIG4NCjAwMDAxOTUyMzggMDAwMDAgbg0KMDAwMDE5NTMzMyAwMDAwMCBuDQowMDAwMTk1NDEwIDAwMDAwIG4NCjAwMDAxOTU1MDUgMDAwMDAgbg0KMDAwMDE5NTU4MiAwMDAwMCBuDQowMDAwMTk1NjkyIDAwMDAwIG4NCjAwMDAxOTU3NjkgMDAwMDAgbg0KMDAwMDE5NTg3MyAwMDAwMCBuDQowMDAwMTk1OTU1IDAwMDAwIG4NCjAwMDAxOTYwNTEgMDAwMDAgbg0KMDAwMDE5NjEyOCAwMDAwMCBuDQowMDAwMTk2MjI0IDAwMDAwIG4NCjAwMDAxOTYzMDEgMDAwMDAgbg0KMDAwMDE5NjM5NyAwMDAwMCBuDQowMDAwMTk2NDc0IDAwMDAwIG4NCjAwMDAxOTY1NzAgMDAwMDAgbg0KMDAwMDE5NjY0NyAwMDAwMCBuDQowMDAwMTk2NzQzIDAwMDAwIG4NCjAwMDAxOTY4MjAgMDAwMDAgbg0KMDAwMDE5NjkxNSAwMDAwMCBuDQowMDAwMTk2OTkyIDAwMDAwIG4NCjAwMDAxOTcxMDEgMDAwMDAgbg0KMDAwMDE5NzE3OCAwMDAwMCBuDQowMDAwMTk3MjgyIDAwMDAwIG4NCjAwMDAxOTczNjQgMDAwMDAgbg0KMDAwMDE5NzQ1OSAwMDAwMCBuDQowMDAwMTk3NTM2IDAwMDAwIG4NCjAwMDAxOTc2MzEgMDAwMDAgbg0KMDAwMDE5NzcwOCAwMDAwMCBuDQowMDAwMTk3ODAzIDAwMDAwIG4NCjAwMDAxOTc4ODAgMDAwMDAgbg0KMDAwMDE5Nzk3NSAwMDAwMCBuDQowMDAwMTk4MDUyIDAwMDAwIG4NCjAwMDAxOTgxNDcgMDAwMDAgbg0KMDAwMDE5ODIyNCAwMDAwMCBuDQowMDAwMTk4MzE5IDAwMDAwIG4NCjAwMDAxOTgzOTYgMDAwMDAgbg0KMDAwMDE5ODQ5MiAwMDAwMCBuDQowMDAwMTk4NTY5IDAwMDAwIG4NCjAwMDAxOTg2NjUgMDAwMDAgbg0KMDAwMDE5ODc0MiAwMDAwMCBuDQowMDAwMTk4ODUzIDAwMDAwIG4NCjAwMDAxOTg5MzAgMDAwMDAgbg0KMDAwMDE5OTAzNCAwMDAwMCBuDQowMDAwMTk5MTE3IDAwMDAwIG4NCjAwMDAxOTkyMTMgMDAwMDAgbg0KMDAwMDE5OTI5MCAwMDAwMCBuDQowMDAwMTk5Mzg2IDAwMDAwIG4NCjAwMDAxOTk0NjMgMDAwMDAgbg0KMDAwMDE5OTU1OCAwMDAwMCBuDQowMDAwMTk5NjM1IDAwMDAwIG4NCjAwMDAxOTk3NDQgMDAwMDAgbg0KMDAwMDE5OTgyMSAwMDAwMCBuDQowMDAwMTk5OTI1IDAwMDAwIG4NCjAwMDAyMDAwMDcgMDAwMDAgbg0KMDAwMDIwMDExNiAwMDAwMCBuDQowMDAwMjAwMTkzIDAwMDAwIG4NCjAwMDAyMDAyOTcgMDAwMDAgbg0KMDAwMDIwMDM3OSAwMDAwMCBuDQowMDAwMjAwNDc0IDAwMDAwIG4NCjAwMDAyMDA1NTEgMDAwMDAgbg0KMDAwMDIwMDY0NiAwMDAwMCBuDQowMDAwMjAwNzIzIDAwMDAwIG4NCjAwMDAyMDA4MTggMDAwMDAgbg0KMDAwMDIwMDg5NSAwMDAwMCBuDQowMDAwMjAwOTkxIDAwMDAwIG4NCjAwMDAyMDEwNjggMDAwMDAgbg0KMDAwMDIwMTE2NCAwMDAwMCBuDQowMDAwMjAxMjQxIDAwMDAwIG4NCjAwMDAyMDEzNTIgMDAwMDAgbg0KMDAwMDIwMTQyOSAwMDAwMCBuDQowMDAwMjAxNTMzIDAwMDAwIG4NCjAwMDAyMDE2MTYgMDAwMDAgbg0KMDAwMDIwMTcxMiAwMDAwMCBuDQowMDAwMjAxNzg5IDAwMDAwIG4NCjAwMDAyMDE5MDAgMDAwMDAgbg0KMDAwMDIwMTk3NyAwMDAwMCBuDQowMDAwMjAyMDgxIDAwMDAwIG4NCjAwMDAyMDIxNjQgMDAwMDAgbg0KMDAwMDIwMjI2MCAwMDAwMCBuDQowMDAwMjAyMzM3IDAwMDAwIG4NCjAwMDAyMDI0MzMgMDAwMDAgbg0KMDAwMDIwMjUxMCAwMDAwMCBuDQowMDAwMjAyNjA1IDAwMDAwIG4NCjAwMDAyMDI2ODIgMDAwMDAgbg0KMDAwMDIwMjc3NyAwMDAwMCBuDQowMDAwMjAyODU0IDAwMDAwIG4NCjAwMDAyMDI5NDkgMDAwMDAgbg0KMDAwMDIwMzAyNiAwMDAwMCBuDQowMDAwMjAzMTIxIDAwMDAwIG4NCjAwMDAyMDMxOTggMDAwMDAgbg0KMDAwMDIwMzI5MyAwMDAwMCBuDQowMDAwMjAzMzcwIDAwMDAwIG4NCjAwMDAyMDM0NjUgMDAwMDAgbg0KMDAwMDIwMzU0MiAwMDAwMCBuDQowMDAwMjAzNjUxIDAwMDAwIG4NCjAwMDAyMDM3MjggMDAwMDAgbg0KMDAwMDIwMzgzMiAwMDAwMCBuDQowMDAwMjAzOTE0IDAwMDAwIG4NCjAwMDAyMDQwMDkgMDAwMDAgbg0KMDAwMDIwNDA4NiAwMDAwMCBuDQowMDAwMjA0MTk3IDAwMDAwIG4NCjAwMDAyMDQyNzQgMDAwMDAgbg0KMDAwMDIwNDM3OCAwMDAwMCBuDQowMDAwMjA0NDYxIDAwMDAwIG4NCjAwMDAyMDQ1NTcgMDAwMDAgbg0KMDAwMDIwNDYzNCAwMDAwMCBuDQowMDAwMjA0NzMwIDAwMDAwIG4NCjAwMDAyMDQ4MDcgMDAwMDAgbg0KMDAwMDIwNDkwMyAwMDAwMCBuDQowMDAwMjA0OTgwIDAwMDAwIG4NCjAwMDAyMDUwODkgMDAwMDAgbg0KMDAwMDIwNTE2NiAwMDAwMCBuDQowMDAwMjA1MjcwIDAwMDAwIG4NCjAwMDAyMDUzNTIgMDAwMDAgbg0KMDAwMDIwNTQ0NyAwMDAwMCBuDQowMDAwMjA1NTI0IDAwMDAwIG4NCjAwMDAyMDYyMTcgMDAwMDAgbg0KMDAwMDIwNjMwMSAwMDAwMCBuDQowMDAwMjA2MzU3IDAwMDAwIG4NCjAwMDAyMDY0MTMgMDAwMDAgbg0KMDAwMDIwNjQ2OSAwMDAwMCBuDQowMDAwMjA2NTI1IDAwMDAwIG4NCjAwMDAyMDY4MDUgMDAwMDAgbg0KMDAwMDIwNjkzNCAwMDAwMCBuDQowMDAwMjA3MDAzIDAwMDAwIG4NCjAwMDAyMDcwNzIgMDAwMDAgbg0KMDAwMDIwNzEyMyAwMDAwMCBuDQowMDAwMjA3MjI0IDAwMDAwIG4NCjAwMDAyMDcyOTMgMDAwMDAgbg0KMDAwMDIwNzM4OCAwMDAwMCBuDQowMDAwMjA3NDU3IDAwMDAwIG4NCjAwMDAyMDc1MjYgMDAwMDAgbg0KMDAwMDIwNzU5NyAwMDAwMCBuDQowMDAwMjA3NzQ5IDAwMDAwIG4NCjAwMDAyMDc4MTggMDAwMDAgbg0KMDAwMDIwNzg4NyAwMDAwMCBuDQowMDAwMjA4MDQ4IDAwMDAwIG4NCjAwMDAyMDgxMTcgMDAwMDAgbg0KMDAwMDIwODE4NiAwMDAwMCBuDQowMDAwMjA4Mzc5IDAwMDAwIG4NCjAwMDAyMDg0NDggMDAwMDAgbg0KMDAwMDIwODUxNyAwMDAwMCBuDQowMDAwMjA4NTg2IDAwMDAwIG4NCjAwMDAyMDg2NTUgMDAwMDAgbg0KMDAwMDIwODgwNyAwMDAwMCBuDQowMDAwMjA4ODc2IDAwMDAwIG4NCjAwMDAyMDg5NDUgMDAwMDAgbg0KMDAwMDIwOTAwMCAwMDAwMCBuDQowMDAwMjA5MDY5IDAwMDAwIG4NCjAwMDAyMDkxMDEgMDAwMDAgbg0KMDAwMDIwOTE0NyAwMDAwMCBuDQowMDAwMjA5NjE2IDAwMDAwIG4NCjAwMDAyMTA5MjUgMDAwMDAgbg0KdHJhaWxlcg08PA0vU2l6ZSAyNzINL0lEWzwzMWUxYjIxZjE3MDg4Yjk2ZWQzOWJiZjlmZWFkZGIwOT48ZDkzMzY1MDJmZjdmODcyODI0MWY3NmE2ZGQyNjJhY2E+XQ0+Pg1zdGFydHhyZWYNMTczDSUlRU9GDQ==

\define countTiddlers3(xlevel1 xlevel2 xlevel3 level1 level2 level3)
(<$count filter="[$xlevel1$[$level1$]$xlevel2$[$level2$]$xlevel3$[$level3$]]"/>)
<<dox "[[WebArchiveInterface Macros]] countTiddlers3">>
\end

\define countTiddlers2(xlevel1 xlevel2 level1 level2)
(<$count filter="[$xlevel1$[$level1$]$xlevel2$[$level2$]]"/>)
<<dox "[[WebArchiveInterface Macros]] countTiddlers2">>
\end

\define countTiddlers1(xlevel1 level1)
(<$count filter="[$xlevel1$[$level1$]]"/>)
<<dox "[[WebArchiveInterface Macros]] countTiddlers1">>
\end


\define showTiddlers(xlevel1 xlevel2 xlevel3 level1 level2 level3)
''<$count filter="[$xlevel1$[$level1$]$xlevel2$[$level2$]$xlevel3$[$level3$]]"/>'' pages in this monad<br>
<$list filter="[$xlevel1$[$level1$]$xlevel2$[$level2$]$xlevel3$[$level3$]sort[producer-name]sort[sitestory-notenumber]]">

&nbsp;&nbsp;<$link to=<<currentTiddler>>>{{$:/plugins/tongerner/toolbar/images/sidebar-button}}</$link>
{{!!producer-name}}: {{!!title}}
<$appear class="appearbuttons" show="show &raquo;" hide="&laquo; hide" $state="slider-buttons-level1">
<$macrocall $name="show-ia-blog" page={{!!title}}/>
</$appear><br>
</$list>
<<dox "[[WebArchiveInterface Macros]] showTiddlers">>
\end

\define get-ia-page(page)
<$list filter="[title[$page$]]">
<<show-ia-page>>
</$list>
\end

\define show-ia-page-more()
<<stretch "More info" 
"<ul>
<li>Producer type: {{!!producer-type}}</li>
<li>Web action: {{!!web-action}}</li>
<li>Medium: {{!!medium}}</li>
</ul>
">>
\end


\define show-ia-blog(page)
<$list filter="[title[$page$]]">
<a href={{!!arcurl}} target="_blank">Visit page in Internet Archive</a>
<iframe src={{!!arcurl}}  width="100%" height="300"/>
<<dox "[[WebArchiveInterface Macros]] show-ia-blog">>
</$list>
\end




\define show-ia-page()
<$link to={{!!producer-name}}>{{$:/core/images/home-button}}</$link>
<a href={{!!arcurl}} target="_blank">Visit page in Internet Archive</a>
<iframe src={{!!arcurl}}  width="100%" height="300"/>
<div class="citation">
<$appear show="Citation to page &raquo;" hide="&laquo;" $state="citation">
{{!!producer-name}}. Web page. URL: {{!!origurl}}. Archived Date: <$view field="date" format="date" template="DD mmm YYYY"/>. Archival URL: {{!!arcurl}}.
<<dox "[[WebArchiveInterface Macros]] show-ia-page">>
\end

\define cell-list()
<ul>
<$set name=rowtag value={{!!rowtag}}>
<$set name=coltag value={{!!coltag}}>
<$set name=keytag value="911sitenote">
<$list filter='[tag<keytag>tag<rowtag>tag<coltag>sort[producer-name]]'>
<$list filter="[title{!!producer-name}]">
''<$link><<currentTiddler>></$link>''
</$list>
<br>
&nbsp;&nbsp;<$link to=<<currentTiddler>>>{{$:/plugins/tongerner/toolbar/images/sidebar-button}}</$link>
<<currentTiddler>>
<$appear class="appearbuttons" show="show &raquo;" hide="&laquo; hide" $state="slider-buttons-level1">
<$macrocall $name="get-ia-page" page={{!!title}}/>
</$appear><br>
</$list>
</$set>
</$set>
<<dox "[[WebArchiveInterface Macros]] cell-list">>
\end

\define blog-cell-list()
<ul>
<$set name=rowtag value={{!!rowtag}}>
<$set name=coltag value={{!!coltag}}>
<$set name=keytag value="911blog">
<$list filter='[tag<keytag>tag<rowtag>tag<coltag>sort[producer-name]]'>
<$list filter="[title{!!producer-name}]">
''<$link><<currentTiddler>></$link>''
</$list>
<br>
&nbsp;&nbsp;<$link to=<<currentTiddler>>>{{$:/plugins/tongerner/toolbar/images/sidebar-button}}</$link>
<<currentTiddler>>
<$appear class="appearbuttons" show="show &raquo;" hide="&laquo; hide" $state="slider-buttons-level1">
<$macrocall $name="show-ia-blog" page={{!!title}}/>
</$appear><br>
</$list>
</$set>
</$set>
<<dox "[[WebArchiveInterface Macros]] blog-cell-list">>
\end






\define select-list3()
<div class="level2"><table>
<tr><td>Level 1</td><td>Level 2</td><td>Level 3</td></tr>
<tr>
<td>
<$select tiddler='$:/site-listing-by-attribute/level1'>
<$list filter='[tag[Table Attributes]]'>
<option value=<<currentTiddler>>><$view field='title'/></option>
</$list>
</$select>
</td>
<td><$select tiddler='$:/site-listing-by-attribute/level2'>
<$list filter='[tag[Table Attributes]]'>
<option value=<<currentTiddler>>><$view field='title'/></option>
</$list>
</$select>
</td>
<td><$select tiddler='$:/site-listing-by-attribute/level3'>
<$list filter='[tag[Table Attributes]]'>
<option value=<<currentTiddler>>><$view field='title'/></option>
</$list>
</$select>
</td>
</tr>
</table>
</div>
<<dox "[[WebArchiveInterface Macros]] select-list3">>

\end

\define select-grid2()
<table>
<tr><td>Rows</td><td>Columns</td></tr>
<tr>
<td>
<$select tiddler='$:/grid-rows'>
<$list filter='[tag[analysis-field]]'>
<option value=<<currentTiddler>>><$view field='title'/></option>
</$list>
</$select>
</td>
<td><$select tiddler='$:/grid-cols'>
<$list filter='[tag[analysis-field]]'>
<option value=<<currentTiddler>>><$view field='title'/></option>
</$list>
</$select>
</td>
</tr>
</table>
<<dox "analysis fields set in [[Identify and Define Analysis Tags]]">>
<<dox "[[WebArchiveInterface Macros]] select-grid2">>
\end


\define showTiddlersx(xlevel1 xlevel2 xlevel3 level1 level2 level3)
Looking for <$count filter="[$xlevel1$[$level1$]$xlevel2$[$level2$]$xlevel3$[$level3$]]"/> sites<br>
<$list filter="[$xlevel1$[$level1$]$xlevel2$[$level2$]$xlevel3$[$level3$]sort[producer-name]sort[sitestory-notenumber]]">
{{!!producer-name}} {{!!sitestory-notenumber}}: {{!!title}}<a href={{!!arcurl}} target="_blank">>></a><br>
</$list>
<<dox "[[WebArchiveInterface Macros]] showTiddlers">>

\end

<div class="level1">
Unusual <$appear show="&raquo;" hide="&laquo;" $state="software">

* One of the strangest pieces of software ever encountered
* A single-page application, stored as an HTML file, requires no server or backend
* A <<stretch "quine" "^^...a non-empty computer program which takes no input and produces a copy of its own source code as its only output [[Wikipedia|https://en.wikipedia.org/wiki/Quine_(computing)]]^^">>
</$appear><br>
Multi-functional <$appear show="&raquo;" hide="&laquo;" $state="challenge">

* An authoring, presenting and analysis tool
* Ingests data, supports adding metadata, and can be used to prepare journal articles
* Replaces some of the functionality of SPSS, Envivo, and Word - with similar learning curve
</$appear><br>
Hypertextual <$appear show="&raquo;" hide="&laquo;" $state="hypertext">

* Aims at both the qualitative and small-scale quantitative by building in notions of [[hypertext|Text Hyper Wiki Tiddly]]
* Encourages researchers to engage in the practices of...
** [[Linking]] to create navigational opportunities among objects 
** [[Tagging]] to categorize and associate objects that share characteristics
** [[Filtering]] to select objects for presentation  
** [[Transcluding]] to reference objects and present external objects
** [[Templating]] to render objects in editorial and analytic context
</$appear><br>
Open <$appear show="&raquo;" hide="&laquo;" $state="free">

* Open source - [[3 clause BSD License|https://opensource.org/licenses/BSD-3-Clause]]
* Appropriate for open educational resources
* Supportive community
* Free
</$appear>
</div>

<$list filter="[tag{!!title}]">
<p><div class="level1"><$link><<currentTiddler>></$link></div>
<$appear show="&raquo;" hide="&laquo;" $state="dataset">
<div class="level2"><$transclude mode="block" field="text"/></div>
</$appear>
</p>
</$list>

* What is the meaning of the word "[[Wiki]]."
* On etymology, see http://c2.com/doc/etymology.html and other history by Ward Cunningham:
>Wiki wiki is the first Hawai'ian term I learned on my first visit to the islands. The airport counter agent directed me to take the wiki wiki bus between terminals. I said what? He explained that wiki wiki meant quick. I was to find the quick bus. 
>I thought "wiki wiki web" was more fun to say than "quick web", no mater what pronunciation is used. The name "quick web" would have been appropriate for a system that makes web pages quickly. Microsoft's "quick basic" was a precedent for such a name. I chose to call the technology WikiWikiWeb. I used exactly this spacing and capitalization because the technology would then recognize the term as a hyperlink. I consider WikiWikiWeb to be the proper name of the concept, of which Wiki or wiki is an abbreviation
* Strongly implies collaboration: [[wikipedia via google query|https://www.google.com/search?q=define%3Awiki&ie=utf-8&oe=utf-8]]: "A wiki ( i/ˈwɪki/ WIK-ee) is an application, typically a web application, which allows collaborative modification, extension, or deletion of its content and structure. In a typical wiki, text is written using a simplified markup language (known as "wiki markup") or a rich-text editor."
* See Ward Cunningham on Federated Wiki (via [[InfoWorld article|Udell2015Wiki]]), which emphasizes the collaborative aspect of the (federated) wiki.
* See [[WikiWikiOrigin|http://c2.com/cgi/wiki?WikiWikiOrigin]] for some of the early history of the Cunningham model of the Wiki and its predecessors, especially ~HyperCard.
* "The technical definition of a wiki is, surprisingly, the easiest to understand. A wiki is a Web page that users can modify", a tool for "networked knowledge production" ([[Cummings2008WhatWasAWiki]])

!! Tiddlers tagged with {{!!title}}:
<<list-links filter:"[tag[Wiki]]">>

<$list filter="[is[current]tag[analysis-field]]">
Check <$checkbox tiddler=<<currentTiddler>> tag="analysis-field"> to use in <<tag "AnalysisTools">></$checkbox>
</$list>

howdy

Archival URL to be access in Internet Archive

\define celltitle() Web pages tagged $(RowTag)$ and $(ColumnTag)$



<$button>
<$count filter='[tag<RowTag>tag<ColumnTag>]'/>
<$action-setfield $tiddler=<<celltitle>>  rowtag=<<RowTag>> coltag=<<ColumnTag>> text="<$macrocall $name='blog-cell-list'/>"/>
<$action-navigate $to=<<celltitle>>/>
</$button>

\define celltitle() Web pages tagged $(RowTag)$ and $(ColumnTag)$



<$button>
<$count filter='[tag<RowTag>tag<ColumnTag>]'/>
<$action-setfield $tiddler=<<celltitle>>  rowtag=<<RowTag>> coltag=<<ColumnTag>> text="<$macrocall $name='cell-list'/>"/>
<$action-navigate $to=<<celltitle>>/>
</$button>

Action of producer associated with the symbolic meaning or intentions of content observed

Date of page as observed

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oCYCp4/15meMmjFdk8tyEQQQQAABBG4LDG/7+MQrX7z9mi0EEEAAAQQQQAABBBBAAIHmEaDJS/N8VtwpAggg0IICWlzRnuo3+varYbQZO9+CT8gjIYAAAggggAACCCCAAAIIIIAAAggggEDVBKZ//h3Njx599tOxx34j+tC9ZuRU1S7FiRFAAAEEEEAAAQQQQAABBBBAAAEEEECg1QTmz/57fm9ohY0Tr/6NNXql1Z6T50EAAQQQQAABBBBAAAEEEKiEANOxK6HIOeomcNOwui9Fzxzv1a829LJut8KFEWg5AfWGnt73XfWGVsDo/Y4+8wfqE51JTrTcs/JACCCAAAIIIIAAAggggAACqxdQBxkayqyejyPrKqA4Ubli/hdYL8kY6/qZcPFWFHBso+/AxOtfjW5et5g0brx7/KXPJ6+8nrWNVnxgngkBBBBAAAEEEEAAAQQQQGBlAvnhjLe9suMZjUD9BLouDhV+gbWzfnfElRFoZQHHnF+4+NLY//3vkQ13eUlj9IF7J3f+Y2rweDbrtPKT82wIIIAAAggggAACCCCAAAIlBQrzmZLDeROBBhI4fWxJ+aL3ZVYRYwPdIreCQCsKZObis6eeGN72CX/qtDV2tRUflGdCAAEEEEAAAQQQQAABBBAIJRCIaDRjOtRhzTOINfqa57Na8Z0Gvr1ewKidKz5RbQ/gO1lbb662QgHbmD/95PBTH4tuuW/02T9UgaLRszebKb66qXLFmTf/bfylv1zhNRiOAAIIIIAAAggggAACCCDQUgKt3eSFNfpa6sta8DDNOEWa72TBx8iORhJw0hOvfNGvS/Q3olveM733n82hM410r9wLAggggAACCCCAAAIIIIDAbYHWjvhuP2c9tpoxgKqHU7NeU2FdoIhRL7WzkZ+H72QjfzrcW+LYQwoV1SrajJ3LWoY1clG9XfyYURvxH384cfRBe6rfs0r84uHJN/7eSc1ChwACCCCAAAIIIIAAAgggUF8B+jhXzz+QPrFGX/Wo63VmxYmK7PRB61cbDZ4uSonvZL2+Kly3rIBjzkUfenfssV93kpN5g534Ex/RJOjpfd+NPfxeP2wcffbTk7u+Htn4zuhD92bTdt54NhFAAAEEEEAAAQQQQAABBOogQJuV6qEXDXO0s3pX5MwIlBbgO1nah3frKDB/7lnlh/NntgXuYfjpT068+hV3p2PrXXWO9mNGbaigMTCelwgggAACCCCAAAIIIIAAArUXIGCsnjnTUatny5lXJ8B3cnVuHFUDAW82tGNML7mWfTOy8R2Jwxv9nZlENLblv0z87IsKG5P/+UrWSftvsYEAAggggAACCCCAAAIIIFAvgUBFU+v1ca4XrK5b1TX6dPLuS9Ezx3v1q43Gn5xbxw+CS/sCVf1O+ldhA4FVCMQf/9Dw1vsDB5qRUypTTHbvyt+vXFGpoz3Rl7+TbQQQQAABBBBAAAEEEEAAgToK0OSlqvjKc6qxRp9Oq1wxv/pUL8kYq/pRtszJq/SdbBkfHqReArFH3j/85EcDV5/t/JECRnvm7cB+TZSe2f+9wE5eIoAAAggggAACCCCAAAIIILBSgXaORpnoutJvC+MRQKDBBbTWYmTzuqUdXrITP/tSZNM6Lb8YuPnRn3yqMI0MjOElAggggAACCCCAAAIIIIAAAmUF2rn/dWBiO/2py35bGIAAAg0uMPPmehUrTrz25WzG8m91uSBx9Jk/iD32G/4wNhBAAAEEEEAAAQQQQAABBBBYnUD+BGFve3XnacajigaM2tmMz8I9I4AAAhJwzHllhsoY41t/J7Mw5pnEHv2gssSgj5OObl43+twfB/fzGgEEEEAAAQQQQAABBBBAAIEVCrRzwMgU6RV+WRiOAAJNIKC+LaPP/mHskfdlHdu73ehD90Z/eF/g1lMDx5RD5reWDgzgJQIIIIAAAggggAACCCCAAAIhBQJVfG3V/1p9OgKPr5dlm7y086qVIb9UDEMAgaoKzBz6wcSrf2P07M2fB73kik7ajJ7z94y//Hllicmu212kHWN6eNvvRTbcZU9c84exgQACCCCAAAIIIIAAAggggMDqBNo8LltFL+B2XrVydd8xjkIAgUoKOGlVJyowdOsPjz0U5szz55/Ljb8zcWRzauDowq+e1wRq7Znc8bUwhzMGAQQQQAABBBBAAAEEEEAAAQQqK9Amk8oVvXZfip453qtfbZQt7KwsMmdDAIESAvbM24lfPDy89X7NhvaGzXb+OHH0QXuqv/hRGWv85S94maT/r1ZfdMy54uPZiwACCCCAAAIIIIAAAggggAAC1RRoh4BRcaJyxfwn1Usyxmp+rTg3AmsQcOzYI+/3ksPRZz89f/bfneRk4ek0pXryjb8ffeZTGqNA0rGShWPYgwACCCCAAAIIIIAAAggggAACNRAILNvYkqtW0v6mBl8kLoFAxQSctNF3YOL1r0Y2r1ssUNx4t9ZdTF55PWsbFbsKJ0IAAQQQQAABBBBAAAEEEEAAgQoJtMOqlYEQ1StlVBFjhQg5DQIIVEVAU54XLr409n8/q+4tXtKo/tGTu76eGjyezTpVuSQnRQABBBBAAAEEEEAAAQQQQAABBIoJFA0YtbPYWPYhgEDDCWTm4rOnnhje9nF/xcXYY78+8+a/WWNXG+5euSEJOGmtq2lNXLMTUcc2IUEAAQQQQAABBBBAAAEEEECgBQSYIl2bD9FdBM823DzBsbMOBWa1UW+vqyhRVK6odNFPGoe3fULZoxLI9oJo4KfNJKJaHjN55Y3F367d1uhlx77ZwLfMrSGAAAIIIIAAAggggAACCCBQXkD9XAJFjHpJk5fycCsccTtS8LKFrh3Jrt1Gz55kzz4tqWf0H0pdP5IaOJoaPJG6cdIcOp0aOmPGzpuxt6yRS+bIZWusy54aWOE1Gd6eAo5mSU/u/EfNmF5MGjfcNb79L1LXD7cnR+M8dWZhLKk//CtvuH/vkV+m+g8t/t9C927+uhvnY+JOEEAAAQQQQAABBBBAAAEEViegOFF1jMoV9asN0sXVMZY6ynGM3n1JxYndHckrO4Nho1/OVHJDoUSpS/AeAgEB21Dnl/GXPh/ZeLeXNE689mUawQSQavbSMeeT3buTXbsyC6P+RdMLk/pvCt7/Iei/LzipWf8tNhBAAAEEEEAAAQQQQAABBBBAAIEyAk46m7Gy9k1NnU6nZtNGIpOczCxMKHzQhFbNo3RXaZsatKf6rfE+a7xbFYzWZF+Zc/J2CAHxqihUqY4ZPStVUbf8BNVMciLxi4ejD96jmDFx9IEQSAypvICqkRUkZuZihafWlzDpzZvu2mGNXtEajYVj2IMAAggggAACCCCAAAIIIIAAAggg0AgCihaLlo+qOtSMX8g13WjZ1fAUVqvftHrBNMIH0Yb3oCURSs1Sz1heAqnvp9ZMyK9ybEMrHhkBBBBAAAEEEEAAAQQQQAABBBBoTAFrvNdNF1UkFr9gTQ3Y04Pqr6HlCjVrNT911Mp4VvxiC1Y22oYCRi3G2JifTmvflQqV9R1TNXLpx1QZs7Ju79toRs+1fG1taQ3eRQABBBBAAAEEEEAAAQQQQACBJQJOWgmDYxnutGh+6iLgLYPZtVur3gWv76TVfUPTpQvDRtU0Bgc37WvVxWmK9OyJR5v2CZr5xjOWYsNQnVyctL6Ki6F3dwerMjbzp869I4AAAggggAACCCCAAAIIIFBJAS2u6NfI+ec1+g6q7YvRu9/rIm24XaSPuWsDRjrVYVYrBJrR85q3a45c0rJs7mqB8yP+sWysVEBr37klZCOXyhy4NGxULFxmfFO9rUm4TnKqqW65FW5W66lmnbTRt19/xSGfxzHn3IbyA8dCjmcYAggggAACCCCAAAIIIIAAAgi0vIBmPiZ79hmKE3v2+A+b6yj9hh88lt1Q2Ogfy8ZKBayRyxJeWT2YGvE05I/6EbdY8tmQzJW5KbeBy5U3NO9e/8lA/yegpDH8eR3bDD+YkQgggAACCCCAAAIIIIAAAgisReCmYXVfip453qtfbejlWs7GsbUTyFiaNO2GRW4X6el0ckoTdTPzo/ZcTDNz7ekb7iKBE9fsiT4VPlmjV9X+uHb31nJXcuOdK2807xT1TGJoctfXoz/8Na2jqJnOkQ13jz7zBzNvblBw2nKfVUs9kKqXU/0H/f98oGrklno8HgYBBBBAAAEEEEAAAQQQQKAlBBQnKlfsPNzt/+olGWNLfLY8RCUFrLGrbsDo2JU8aY3O5cy8+W+Rje90c8VN7xre9nuKFqMP3Ou+XH9H8vJ/6C40ATybbsZHq5FgnS+jZRVHr6q7kBczqrVQne+HyyOAAAIIIIAAAggggAACCCCwVKDr4pAfLfob2rl0FK8QaHcBd5b6lTdUB9h0EIkjmxQkxh5+78LFl/In2A5vvV8xY1adg7LZyY5vjr3wZ47B+oqN+/GmU7NaU9HLGFODJ1W63Lj3yp0hgAACCCCAAAIIIIAAAgi0mcDpY0vKF72MUUWMbcbA4yJQXkAzzVPXjzhNVelnTw9oNnRsy3/R9Pn8J9RMW6WOkzv+wds5+twf6aUix6zt5o38NKyA1j0wejrcmLFrlzXem3Wchr1VbgwBBBBAAAEEEEAAAQQQQKB9BIoGjNrZPgKreFJv1crznde8PFYbtV+7UjGX+j4Y1w/nOkcfT91Q5+hT5tAZM3rOir9lxi9qHqWmVVrj3dZ4nz3Vb88MOca0k2GBzVV84FmtaakWOSpf1Gp4qcHjTbQS4/TPv+POg/7PVwOPPXPoB9qfGjji7XdSCS9jnHlzfWAkLxtOwL6ZGjrjlTIa/Ye0+GrD3SE3hAACCCCAAAIIIIAAAggg0GYCTJFe6QdeuGqlX/ZZy7Ur1R/WSxhW+q8SCXfBPX5WIuB1ePGp1ctb1YxNUewX3/o70c3rgs/qpGOPflC/+TOmFZ9GH7wnsvHulXXKDp6a1xUTUKdvJdtq2+RGiAX/acCeHTH69nvfSbdBfFMV1lbMiBMhgAACCCCAAAIIIIAAAgg0hoAysUARo17WMihrDIYV3EXRSNbLGGu6dqXjpI2E5r2mBo4qZDC6d6t8UfNe1TZa2Ze2F8OHrh1m7C33V3v6D2lapZdIuGV4TdmvZAWfVAWHanFCd3704Akf0GMUqbIdpUBZ+2YFL1exU6Vtd+Lzkx8NnFDfGe2fOfD9wH6txKj9+qoE9vOyxgJqAa+/UO87tvhv1y79FetPfsmdOLYKlb3mL0bvPvd7yA8CCCCAAAIIIIAAAggggAACdRJQnKhkTLmifrVBulj6cwjksV606M+VLn1shd+1bxp9BxV5aQZ0YYGTFmdzl2vr3ac51HnvOvbUQLJnn1ILa+RShe+nHU7npDMLE00TNi4TME7u/JqCRGsk2Ix4/uy/a3/y0ivt8Ek27DPqPxMsxtd9B8zYeTNySish+GGjJkcH/tOAprcb193/ypC8stMxkw37XNwYAggggAACCCCAAAIIIIAAAgj4AvmJYuG2P6wGG6nBY0oXM/MjJa6lwMHo2atCOyfXLNgbqW1N8lUiQdfgEnTl31o+bFRGVP7wmowYfeZTygxtdQPxfyxDzaOHn/qYv8PfSPziYbeCMXrW38NGjQWUXesPM3X9cGCiuqZL678IGN1uexcVoOb/OXt36JYu53/KNb5vLocAAggggAACCCCAAAIIIIAAAisRKAwV8/es5ExrGqtcUVFDmCBL06g10lxar2jPvO0eTiKxpg8h7+ClYaM9cyPvvXpuzp97RpnhxOtf9W8iefk17Zk9+bi/x98Yf/nzkY3vaNDp3v5dtu5GZi7u5ofqVG6bRZ8ynZpzi5a1JELvvuwyY4oeyE4EEEAAAQQQQAABBBBAAAEEEGgogQaZIq3AUDmDwsMwOMnuDjeRyPtRBZQO16puefvYrJCAk85vnlKhk67yNGodrnpFJYqJY1u8U4y/9JeR9XdmCtbr09KL2j++/S9WeSUOW7OAokX9VTrmXKkzZSwteqBhVvxiqWG8hwACCCCAAAIIIIAAAggggAACDSzQIE1ezKHTChlCBlmpG53u4KyT76rp1akbJ/P3sL2sgBa0nBnSgnhG3wFJJjXr/PrhVOSXtvpxO0tUlz1D/d7QIn5ue2jVMb72Zc3AjWy4e+yFPwvejmWo37TKF5dMpg4O4nUVBTQJWl8tZYxlr5FOzbrNhrp2BKZRlz2QAQgggAACCCCAAAIIIIAAAggg0CAChX23vSnSqmysZX8ct3usip1Ss2FY1APC6OkIjEx273Z7SfNTVsC+GWzp6zbUWPxVaag13lf2HDUeoIbXCxdf8mvhzEinlzEqXVTSOHPgXxVnLd6Sk164uD3++G+6+9/cUOP75HK+gJ2bH22NXfX3lNiwRq/qGxhY96DEeN5CAAEEEEAAAQQQQAABBBBAAIFGE/D6bp/vvOZFi9qoffdte/qGEgb1iS6Pk7E0MlCs6Ng33YCCKdLl+NJGwmu6rb4b0tZLlSxKL21Mq62GuueI0ZV0G6M0UCnj5M5/dKdF/+Jh//kyc7HpPd+ObHQDRvd3w13xJ3479ugH/T2TO/4hm9cJyD+QjdoIZJKT4f8kFwfTjqc2nw1XQQABBBBAAAEEEEAAAQQQQKBFBVS7qDgi1X9wuX4Q/nOrk4tGam6sv0cbCse00566lr+T7UIBlQK6euoKrZUVi/2oMYeqQ93PQvPNG2a69PC2TyhFNPoPBm5ZGWniyKaxFz7rLcyoMdoYffbTmkYdGMnLGgs45rz7LRo4Fuq63n81GDwRajCDEEAAAQQQQAABBBBAAAEEEEAAgWUEvD4vSiRKZIxet2it2JY/mVpRhib2Jrt2lzhwmWu21+50ckqZj5a7LP3YWhPPW5tR6zSWHlmzd8d++icKD0sVuDppfTf0TajZLXEhkWtlg2X/6Jy0Vi3Q903VieWtbLdJk9Lv8iMZgQACCCCAAAIIIIAAAggggAACCJQQcNJqNaKcQVGhggvN3lWCsTjcsTPzo6qpc99VpeKtlsEKN9yCxp592qlDSpybtySQipwSVH42uxyLtDUyNXB0uQE13j+953+6FYw9e2t8XS5XQkB1sPqSGD17FO0WHabFPN1v0fXDZUthVXuskYGy5KLnZCcCCCCAAAIIIIAAAggggAACCCBQRsA2tY6ioobbvwoPc3VQi3uUPU7ebkGSSUS9/Wb0fJkz83Y2q7pErbIYUsKbTK1qxpDjqzpMWZYCxpkD36/qVTj5igSUVHvdgsyhM8UP1H8yyLUpdwc4t/5jQeFQJ61m08krOx3zVqeewjHsQQABBBBAAAEEEEAAAQQQQAABBFYioIYjCgxz1Yw7/VxRyZiKFbMZK/9MmfkRBZL2XCx/J9vLCajUU0nOcu8G9qucTPiOMR3YX+OXWk1x4VcvKMua2f8vkU3vcleP5KeRBDRv3bnVTCcXRy/pDaRZ+Spx1BdJ1bDFJ7ArXcxVJvPJNtKnyr0ggAACCCCAAAIIIIAAAggg0EoCjmMlS9U+tdKzVv9Zkt0d7nzVcD9ewFj3CsaJV7+i2kVFixM/+1LskfepVXSplRjDPRqjqiHgZCwthZrqPxRYdDGdmlPzJu+/FKQiv9Ts+6xtuDdgm5pbnRo8prfo/16NT4RzIoAAAggggAACCCCAAAIIIIAAAhUXyE1E1RqMiTBntkYuuRWMt4rTwhxSjTFm9Oz0nm9Ht9znxoze78Z3Jg5vDPkU1bglzllUwO8N5AWGyhv9YVor1V36oGuXFzO6/3bt8LdTQ2f9kWwggAACCCCAAAIIIIAAAggggAACIQXcukTbcPvPOksmVIY8nGGrE7CnbyjVSd3oLH+4qtF6OsIv2Fj+hGscofvp7lARY2TjOxdjxlxNo6bfBmbNr/E6HL4WgVxf6SuL4WHPXr8Zk3dOx76pslil3G7P9+4OfXZm/KLmUK/lihyLAAIIIIAAAggggAACCCCAAAJtK+AXL2UWJjwEFTi5a7X17PMakSiF0KJt6jOi9dnModOpoTNm7LzGqKzOHLmsmMKeGmhbvdU/uJpu9OwVvjCz2VLRrtcgeLnuwKu/gTUfqcLFhfPPj/30T/yCRhU3Tu/9lr4kaz43J6iMgPq/pwbcic/uNy3S6f7XBH4QQAABBBBAAAEEEEAAAQQQQACBygo4jkqY3KSru8MxFuuXtDibnzqG2Wig4rrK4lT5bFofT6WJElb/3/TCZJGrqa40fkEDlPQ2cn2pws/ZE48Mb73fTxrjP/qtxNEHMsnFyLrIo7GrEgKZhbHAsqjWxDUttBg4tzXVrz9w929Znd/H+xr5uxS4c14igAACCCCAAAIIIIAAAggggECTCrgrttk3VeykldxUAaUcTMWNmYXRzFw8k4gqTbKmBu2pfiUV1ni3Khityb4mfdK637Z43TmquQIz9Xxxy0GnB+3ZEf1rxS8YffvddLF3f90XObRGLqpgtSyX7nlm//fU/8VNGjfcpcbiZQ9hwKoF1Ana6N6tL4nbqyX3o79TfWFUaVzknLZhDp259U07wmzoIkTsQgABBBBAAAEEEEAAAQQQQACByglYY93kD5XhdNLlq8Vyq+H5MaMXAfn/Kixyl8es98/4y59XZjj85O/OnnxcIXOZ23Fso/+gRpYZxttrE3DT6f5Di5nh0BnHTLovu3aU6Dau/0bgf9OUGOc3f1nbvXA0AggggAACCCCAAAIIIIDAmgRuGlb3peiZ47361YZerul0HIxAAwgYfQeVWmjdRdXRBSZgNsDdNdMtqNpTk1IVEmriapn7dhy14bBGr2pJRnV+UbGZprU6qdkyR9Xq7emffyf6w1+7NQP6zrHn/3Thwv/XOLdXK4bGu47jWOO9iy2hc82g9RUqfZcKFc1cU3L9jStsVORYejzvIoAAAggggAACCCCAAAIIVFtAcaJyxc7D3f6vXpIxVpud81dbwJ64pmm5XmWUFgl0K50aJumq9rNX9vzW6OXFAjN/1qptKhHSrPPylY2VvZW1ny1jJrt3TbzyxSXNo1/7stG7N5u21356zrBqAc2V1jKei9+0gWMlKhj9S6hEWc2bvEPsmRv+fjYQQAABBBBAAAEEEEAAAQRqL9B1cciPFv0N7az9nXBFBCouoIXdzOjZxeKoXCOS3NzYUv2OK34PLXBCxzJUx+ivkqcyRS/VWaxsbMKwUc2A5s8/N/rcH98qaLwjuuU903v/l74tLfB5NekjqMm7vldu83d3Pc+dbh2jpueX/lHRrP5TQv8hqpRLO/EuAggggAACCCCAAAIIIFBtgdPHlpQvehmjihirfV3Oj0DtBDKW+rkY1w97sZj6TVujV9T/pXY30FpXUu2iGXtLXaEXY8Zce5cmDRvt6Rszh34QffAeP2mM//jDiaMP6gvTWh9aoz+NShD1ddLkei3XqW+X99VK9R90e0zzgwACCCCAAAIIIIAAAgggUGWBxNTC+c5rXiqoDb1c6QWLBozaudLzMB6BxhdwjGlTfY17Orz4wox02qzetoaPzatsbIGwMZOcmNzxNTdj3PiOxaRx4zuYU7+Gr8aKD9UKn8mefdlbzYDUSzp1q/mLlzqu+IwcgAACCCCAAAIIIIAAAgggEFrATxf9jDH0oYsDmSK9UjHGN7uAk7Y14ddf8E1NIqzxbse+2ezPVd/7LxE2Nsu845k31ytg1IT6xC8ent733fp6tuPVAxOinbQ11uWtb6B506o1XWLi9nm5TAvpJSa8QAABBBBAAAEEEEAAAQRWK+CvmuhvrPRM6ucSKGLUS5q8rJSR8c0ooL4S1thVzZhWQaOijGZ8hNrfs5vEBoKggpsIhI2pyKmCIQ26Q62lh5/83Qa9uda+LSetv8fCtkHq9uL/twAt0uiYcx6D2jbpz1b/paC1VXg6BBBAAAEEEEAAAQQQQKA2An6u6G+s4rqKE1XHqFxRv9ogXVyFIYc0nYAbgk0NpG6cTHbtcJOKib6me4S63LDXNEcL5YW8upybaK6x2klrirQ1cjHk0zFs7QLqGWT0HfRWLUh2d6SGzhR2bLGnB/WWO6ZrRyrySyvuLtKYGji29qtzBgQQQAABBBBAAAEEEEAAAQkEig81YxoWBBAoIZDLFa/5NVFuTDF43JoayGasEke171uOE5iFqhnlar3RqiDq7aKAceHi9lZ9wMZ6LsdRWuhHi/pqaduKXyh6kyqdNaPnFgcraezZo7/loiPZiQACCCCAAAIIIIAAAgggsFKBtTd5WekVGY9AMwq4s6HHe43rR/2AQk2lVbVIRlH601QPX7dmbOCY+m5n5kfTxnQuAnqr9FGN825q4OjMmxu0xmbIW0rdOKGAcf78cyHHM2wtAlb8or5OqcGTfo2r+/fo2CXOqZHmyCXNj3ZMusCXcOItBBBAAAEEEEAAAQQQQAABBBComIAWcNPiiqnrh2/nin0HrNGrfqBRsSu16ImsqX6fzt8wI6cUNgYqG4sA5Jp0pI1EkbdqtWvi1a94XaGHn/7k7Kmtuu3SV549+bjGq7146WG8u3YBey6WSxePl17SUxG3uzYjPwgggAACCCCAAAIIIIAAAggggEBtBZR9KUVM9R/yMzF1clHVUyY5WdsbaYWrCdOei6tszLh+xPd0N/IqG4uGjY4xpWH17Z6jtiCTO74WfeBeL2aMbLhr/MU/T156xbGK1L+pgUh0y3uiW+7L2sy9rfpXN5X7OqVTi01bil/PsY3e/e6U/NBrfhY/D3sRQAABBBBAAAEEEEAAAQQQqJyA+td0X4qeOd6rX23QzqZytI11Ji/ackOw7g4zdj6zMFrYnbax7rhOd6OczRw6bfTt95JDbZhDZ4qGb94NapU8/YYMGzWrWqd18ev+YxnJy/8xvv1zkQ13e0lj9MF7Jt/4e0XQWTXFzv2ouHHshT/Tu/Onn6r7/bb8Deg7pu+GMsYyT+qkFRG7I2+cLDOStxFAAAEEEEAAAQQQQAABBBCoiYDiROWKfrttbeglGWNN7Gt9EVUqqnlEJhEtPfuy1rfVYNdTyGP05DrzKom9/bvT6FX7jOIFfhqmBr7ec5SqbOw/pMUP3XP27G2oaFfzbefPbBv9yacWCxrX3xHZePfwto8PP/WxyKZ12jm89X7a/dTge6qaWPe7NHa17LX0NfMCcJY1KGvFAAQQQAABBBBAAAEEEEAAgRoIdF0cyk8XvW3trMGluQQCDSiQipzKyxX9jHGnO/d56HThDWe0aF7XjkyiyJ/McmGjPfN24Xlqs0f9oFW1mF2m0bD6+ySObBp+8ndvJ43r75h49W8cY7o2t9fmV9F/AtB3z4yF6hakD8tNI0cutzkaj48AAggggAACCCCAAAIIINAIAqePLSlf9AJGFTE2wr1xDwjUXiDZvbt4wHhll6FV74r+qMOvky76jr9TYaPiI3tmSB12/J212Egv6T48c+BfFR6mBspMwlWiqInSqcHjdcxCa4HTYNdQ3xZ999SdPMx9eb3Lzei5MIMZgwACCCCAAAIIIIAAAgiUFmD1vNI+vFtWoGjAqJ1lD2QAAi0pUCxd9OoYdyW7di33yI59MzM/ounn9W0PHbg9rfeo/izTe/+XGT3rvuWkY49+UL9l49DAeXhZIwEn7eXbYfouaXK0vqtaTLVG98ZlEEAAAQQQQAABBBBAoHUFWD2vdT/b2j0ZU6RrZ82VmkFgmYBxZ/KKAsbdRZ4gY5nxi8oevQNtLXGZ/1OusjF/bMW3Z0885k92jv/4w5M7v6aXKmKs+IU4YaUErHF34nPq+uGyq3Ta0zc00p66VqlLcx4EEEAAAQQQQAABBBBoWwGiobb96Cv44IqpA0WMekmTlwoKc6rmElh2inTXjiJTpNXPd+CYFy1qQnFq6Kxjm/nPqznRGpBOTuXvrOW2Ktymf/6d2MPv9ZPG4W2fmD/7jFO/W6rl4zfftZy00XdA3yg1Ls9q6v1yPxp2/YgSb029X24I+xFAAAEEEEAAAQQQQACBkAKBXIjV80K6MSwgoDhRYbW+TvrVBuliwIeXbSWwfJOXXSllPkt/1I/DzYIinc4ybVPMkUte/GiN13XZgbStTjR+xuhubLx7/OUv6N6y9s2lz7T4Ss1r1Kc4u3QJx6Ij2VlZAcXRRs8efTTqOa5VGYucXLH2jZMaYI2W7zdd5HB2IYAAAggggAACCCCAAAJLBYoGjNq5dBSvEEAAAQTCCjhWslgR485kzx69teQs9k23tfTA0ZJLGjrWxDUj1zhGKzQuOby2L9Q8Wrli4sjmhYvbx174bGT9nV7eGH3o3sld30gNntASjfl3NH/6KQ0osexk/mC21yTgpLXootZU9KdFp1Nzqf6DXjSdivwyMz+atQ33EraptjupQbdoNmSz6TXdGAcjgAACCCCAAAIIIIBAewgwRbo9PmeeEgEEaiqgIFF1jKrf8xIebSjkCaaL2ayKEjUgTGxoz8U00ujpCIR4tXyq8e2fU6ioukTvotqY7fzR8Lbf82JG/Rt77Ddm3lxvjeWK4jLm8JMfjWxeV/jUtbznlr+WVuxU+atmOnvfNDev7j+kRNpJ25pr79bH3lrb0x3QtWNxmIobh3Jde1oeiAdEAAEEEEAAAQQQQACBmgiwel5NmLkIAi0o4JhJxwguDFjHpQKbkVjLGyrwCSy6uNyDKBHSYHWaXm5ABferQFHrLprRc/nnTF55febNDfl7vG11mp459AO1lvaTxuhD74498n69nNn/vcLx7KmUgDe/Xt8Ko/+QPixz6LQ2vAjR6N2nHi66kLqTW2NdqetHtCfZ3aGp0+ooxN9ppT4CzoMAAggggAACCCCAAAK+AKvn+RRsIIBAGAFNt/RmXxZOsUxe2Wn07DXjF7J0jghB6WWGIVcpVLSo7KgGi+ZZ491+VBh/4iOJYw/Z0wPln8btVnNUbaaVLnqHq4IxszBW/kBGrErAK39VP5e0MZ1/As2VNnrd0ll7qj9/P9sIIIAAAggggAACCCCAAAIIIIBAgwhY431eiZQbdk32Be7KuH7Ue1e5h7M09wiM5KUENG9aXCHDWFWdueY1afVixs4FOkePPvuH8+fCdY5WRWbsvDpiO+Ycn3KVBDTxXPOd3b+ygt5A3vdEnce9S6t8MW0kqnQbnBYBBBBAAAEEEEAAAQQQQAABBBBYqUA6Nevmh107lCAtGx/ZhpebuT1NqGMsSWzlOkRrxbySoxbf9JZhtKcHwwyuzJi0rdUjJ17728imdYs1jRvfMf7KX+kLsFzn6Mpcl7OUE9A0Z/0l2jM3CgY67izprh1eqHg7h+QvsUCKHQgggAACCCCAAAIIIIAAAgggUBcBLzkM05REs6TdcruRS3W5z2a5qGPOS0mTyrVSXtl7Vk2ggqPCirWyB659gMLkXOfoz+R1jn73ZMc3UjeCnaPXfi3OEEZAnVzc9tzp4NfGmzetVTH9k6RudOo7Zo5c9vewgQACCCCAAAIIIIAAAggggAACCNRRINm9W90iwtyAahe9phJhBrfzGDXmUP6jCa2lk0Ote+nGRLG36mu12Dn6qY/dXqTx8d9U5xct21jfG2u3q6tttP6+Ak/t5tVdu9x503nBo75X+uYke4KDA8fyEgEEEEAAAQQQQAABBBBAAAEEEKiBgJdUWGrgEu5HbW2VbIRcYDDcKVtwlFRT1w8LSo053NJQxyl8SGuq3+jerTHpVKOsaljYOXr46U/OntqqILTw/tlTcQHvO6Me0flnTg2e1Jek8CNIDZ7Qfic1mz+YbQQQQAABBBBAAAEEEEAAAQQQQKD2Aponq5gi/KxndZcg1gj1MWUsVTDKSr8qS5OwPTWQmYvbiag1elmtmd393bvtmaFQZ6vlIK9z9I6vRR+4d7GmccNd4y/+ue62lnfRhtdKDZ3Rt0JfEv/ZM4kh7TGjZ/09/obXrHzZRVP9cWwggAACCCCAAAIIIIAAAggggAAC1RdQcKSVAENeJ7f4286skw45vq2HaVLr9KCRK2VUTBT4VXGjk6pbI2B34cey/aA1D/fya+PbPxfZcLeSxum932rrT3PtD+84qRsnramB5c6kb4u+JFqJ0Rugxt1ayTPZ3eHYNwsP8ZZh1JjCt9iDAAIIIIAAAggggAACCCCAAAII1FjAuH5Ui7+F6UiiyZsaqcK8Gt9hs18uk5xU5ada5Kifjhnp1NqG6YXJovOma/OkmhHvliZuXjfx+t9pcb+yH31mYWz+zDaLliJr+3g0Wd4Lmd2/oGUaQLtNf24ty6nFObVtTRXpMO6ubNC1Q3Hl2u6IoxFAAAEEEEAAAQQQQAABBBBAAIHKCGjlPTfTGDpT9nTeyPxutmUPYUADCpiRU6PPftpv6RJ7+L3T+75b914zDQhV8VvSjHgVJZYoGE6nZtXSRX+PXoHiciM1aVpjChdmrPgNc0IEEEAAAQQQQAABBBBAAAEEEEAgjIAm8mpWppsxxi+WKGZT3Z3GaDnBohM2w1yo5cekjYRqFKXktv3t2aN0SIWLKv/L7/+7iOA46g5cXxB7qj9x9MH4jz/sJ43xrb+T+MXD9szb9b2xFr96xlL9ofeM6eRUYUione7M6Nycemu8L6ihL06u0ZKavwTf4jUCCCCAAAIIIIAAAggggAACCCBQPwH1ovXqppRs2BPXVEZ1ewKvfdNdSDCXQGqMY0zX7zYb+sp+7ZkrmStC8zIiL28MhI2aNK391ujVRngkFa9O7/3n6Jb3+Enj6HN/vHD+p3zW1f10HMf7s1JgmF26lKJjJv2lO42+g4qp7Zkbav6i4mHvEC3gGTikurfK2RFAAAEEEEAAAQQQQAABBBBAAIEQAsoYVRN1OxO7slPFiskrO/09SjYKq61CnLhdhnjJj7Igr15RBYqep7ffZ1T2mLp+RPWN2qNF+RpIJ2MZ3R2jz3zKjxkjG9858bMvus2jM3QSqcYH5ejb4mXR+j4oQlxyDcdRKWmqWIcgLb1IFfESK14ggAACCCCAAAIIIIAAAggggEAjCahKSvVs3oxpLxNTzKjqO7uhorBGEvPuRdGruNxStLwfzZh2U0RNkbZNZYmpgaMe6SKsmgU3ZDNutX3RqoxuzLjxnV7YOHPoB3mPxWYlBdTLW39f3lciNXiisLW3vj8qKrZGLukP05rsc6xkJS/PuRBAAAEEEEAAAQQQQAABBBBAAIGqCagMz40yGjIBq9pDr/7EZuy8MqL00vnj7sRzBYxzcf+8mcSQ9mhhPa2z18i29kRf/PHfHH/580bv3onXvqx0y38ENqoh4K5CkCtqVUGjyhrVrr0aV+GcCCCAAAIIIIAAAggggAACCCCAAAINK6DqRHdZvKU/XlljemEyf7fiI81Ebvw6NFXTqXwx2bUj/+bZrp6AZj173VsUQbvLESxMVO9anBkBBBBAAAEEEEAAAQQQQAABBBBYvYCTVrTlNrHNWKs/CUcWCCRzPaMDu1WWprAo2C3aSatKzYy9FRjcgC9Hf/L74y9/oQFvrIVvSaG0pqjra6Nf90vC32kLf9g8GgIIIIAAAggggAACCGSzNw2r+1L0zPFe/WpDL9tTBYf2/Nyb96lVFuVlF/rXfwq1qVU+pgI8JRsqnTKuH0kNHFMBmxnpTEV+aUbPmtHzZvyCOXJJTWxVgJeZH/GPZcMTcFu3DB4LaIjLdS7IiNSkQytbBgY34MuJ178a/z8fasAba4Fbcowpey7mrs+ZSgQnyztpa+yqakf15VFX98bqBNQC9DwCAggggAACCCCAAAIINIyAUjXlip2Hu/1fvWzDjBGHhvlKciNhBTLJyWTPPq32pl//mGR3h586htlQ2Ogfy4YnoEhWGWM2beeDqALNDRid4Hp6qaEzuf3p/ME12J7e97+Tl1/Lqn413M/Y838ae+T94cYyKpyAY1tj3flNlPRNUIqo3N6tK877yXV1P+b9Pbpto+ntkofDJgIIIIAAAggggAACCLSGQNfFIT9a9De0szWeLvxT4BDeipENLZCxFG5oJq8yDbUpUf8RFVZpqqYqrNQ82p6+oam+1sQ1Nf5QDGKNXs3vWtLQz1XDm/OKFc2h0/ntORYDxoLbUHWolmEs2F3dHfrsvJbQ0Qfundz5NS0aGSycW3p9JVrRLe8Ze+EzS3fzavUCapx0u2H0wFE1BkoNnkz1H/RSxOSVndZ4d+Ds9tRAsnu3G0J279YfYGFYHRjPSwQQQAABBBBAAAEEEECgiQROH1tSvuhljCpibKJHqMit4lARRk6CQAsIKDvS7HI3COrd708h9wJGxbZLHlBrMGrBxutHluys/gsnOTV76onhpz/pxYz6N/boB2cO/UDRaNGLz554RGNmTz5e9F12rljASadudOobok4u6ueSf7jqis1cUav7bux8fkatYQr/vZJXvatC2UChY/552EYAAQQQQAABBBBAAAEEmkugaLCmnTV7igZZ+bDuDjUD50IIIFBWQCWgKkhTCpSZi3mDVTSol9ZkX/6x9tQ1d2dBrVr+mKpu69Izb66PPfYbftI4vO33Zjt/ZM+87V934eL2yKZ1SiCZmeubrHHDGrmsz93t27LMj3Jp1bW6YyKdhUPcd3v36V0tlFq4qmfhePYggAACCCCAAAIIIIAAAo0vUN+pwY2z8mF9HRr/e8IdNouANd7nF901yz037H1qdvnt/Mc23FYdXTuUNLrzkTOWNd6rjEiTYWsT3DnmnD09kEkMuZ/v0vUhVRmXunFictc3og+9208aYw+/d/TZTytX9PYsXHq5YZ2b7Mbsm1qis2xnn7SR0OKo+oYUbeyiukcVvurd5YpOm8yE20UAAQQQQAABBBBAAIG2F1DEFyje00vtrA1M48R69XWojTZXaX0BzdjV1MuhM2GeVBGHm2/Q5CUMVm6MFXf7vAR+7ZkboU+wyoHKoKb3fkvLLXpRYfTBe5aNNHOf6fgrf52fNEa33Ff7VSJX+ajNcJg+cfcPZ+RS2Zv1RrplikqkC36UQOo8qcipgnfYgQACCCCAAAIIIIAAAgg0pYCyNQV9yhX1q42apYvCCmSb9V0Bso4OTfm94aYbT8DJWIostC5cqFvLDVZoFmowg3IC6o/jLs+oUkZFQ9cP2zNV74eVOLzRL0r0NtTVJcSn4SiWVAWdNXJR071DjGdIWAFz5JI+/czCaJgD3I7kV96w5+KFg9VuSW+p5LjwLfYggAACCCCAAAIIIIAAAgisSKBowKidKzoJgxFoXwHHySxMOMaUqqE0hVY9oxVZuAFjsYqpgJL6Srv5hib88rMKgRDCqzjr0kOc6Z9/xw0VN9498dpX3NX8LCPQNMQfr+/AxBtfVfMXfw8bVRLQupduZpi3ymWJCy0Onh4sHKPe38nujkCPmMJh7EEAAQQQQAABBBBAAAEEECgr0DhTpMveKgMQaEQB21TWsexv1y4lGEbPXq0Xl+o/qNI7ZRoqqUoNnvDL8PwmJo34dO19T17r5+hD9xZtFBKwmT/3rKLI2CPvN/r2B97iZWUFFisPl2nYHbiW/r6WjfHTtlpOB8bzEgEEEEAAAQQQQAABBBBAYBUCrHy4CjQOQcAXcFtFKDO8fkSBoZZ6U5boho25CbzLpo55gSTrv/mSjbah/jLuooub1mmOc5h7M2Pn4098xJtDPXvi0TCHMGZ1AkoF9cel0F4rEpQ9gybRLxswlj2YAQgggAACCCCAAAIIIIAAAqEFWPkwNBUDESgj4LWNsEavuuMcJ+vYjm1mbUOr8Dmp2bQxnV6YVHKVmR/Vv5pSXeZ0vF0/AW9y9MybG1ZwC5Yxvfef3Yxxw10mrUNWABdqqNYf8MelbnQqNjRDNEgyh05rpNuOnB8EEEAAAQQQQAABBBBAAAEEEECg3gJqHKywQmWKboFi1y6j/6AZPRvoJqyF+CiXqvcHVYnrZ8zI5nXqBK1YeKWn00qMyhjjj3/ISSVWeizjlxNQJu/+ZY1c9gboc/HqhK3xUisGO5aR+1M9tNxp2Y8AAggggAACCCCAAAIIIIAAAgjUTEBBotHToYgjeWWn+6vFFbt2J7t3a8G9/IxRmZKmS2uNuJrdGBeqhoAWXVRIOPGzL67i5KpWHd56vw6fPfHYKg7nkKICXsniYm1wboQ1NZD7e3xDk9OLzpV2/2Z792uMPTtS9JzsRAABBBBAAAEEEEAAAQQQQAABBGopoMUSvTRjMWN0A0b9diS796SGztXyThrkWkpvcvWcboCjXwWtepmftTbIfa7uNmZPPq6EcP70k6s7fOHidh0+/tLnV3c4RxUKaMVFlSxqtYH8tzLzI27O7656utsauaQ51O6KBFqcwJyzJvvcQ5QuTt/IP4RtBBBAAAEEEEAAAQQQQAABBBBAoF4CKlb0krTcv/lFjB3G9SP1uqt6XdetDVus51zSQVs7V50xquzTGusqWopW+8dMHN6ohHDh4kuru7SCLx0e3fKe1R3OUYUC7kzn3iLtud2a4cGTeX+bXo3x4tfSnhooPBV7EEAAAQQQQAABBBBAAAEEEEAAgboILE0wciHG4ixpt4ix8JbUVEKrwyloyn/LmrimNNKNSq4fbZwwLf8OQ24vredckjGuui92avCY6tBUfRbyHqo6bObQD9yA8fzzq76K11Ga3iKrBgwcqF7tyZ59gZ3+Sy3JaMUvpNTJvXef4S5ccNAa79YCjP4ANhBAAAEEEEAAAQQQQAABBBBAAIG6CxQJGK/kZkl3BwNGx77prRenQ6zxPv/OzdhbgZOkBk9knbQ/oIk2ltZzLgkYNVc6zIM4ZtIavaLOHYsli46tCbCpGyfDHFuDMfPnnnHnOL+8+jnO0S33RR+4t0Hy0hqIVekSiugVWSsqVCCvZD6bsap0IU6LAAIIIIAAAggggAACCFRc4KZhdV+Knjneq19t6GXFL8EJEUCguQQKIjXNks71eenabfQfzn8WNXlRkKjpnNboZb8HsdcDVwmJPfO2QpJMcjI1cMxNIEev5B/bLNuBpDTwMsxTaEL04lHKFQeOqR+3qzHWFeZYd0yVg1mlwQoYIxvuXl0JopOc0uGjz3467OMwbhkBZc76YhjdHapINHr2lu4Zvcw52I0AAggggAACCCCAAAII1EFAcaJyxc7D3f6vXpIx1uGT4JIINJJAwaRgfxnGjtTQGf9OvdwsNXg8sJagmesRoynS/kh1o3CbUPTszToNMSnYv7EwG4FEMfAyzBnSxrQ5csmdMJ7rEbP4by5sXFLZWOxcqmdzo9qJ29WhxUatbZ+T9uY4z3b+eBUnSg0cUcA42fGNVRzLIUsEnLRbu+i2bncLZZUxplOzSwbwAgEEEEAAAQQQQAABBBCouUBiauF85zUvOdSGXhbeQtfFIT9a9De0s3AkexBAoH0E1LtkaRHjTk3pVcylhDC/rYlXcOUXLi76OGl3ZNduJ23ni6nEUZmJqhnzdzbF9lKK1UyR9h9TSaw9FxfjYsbo543Lh42ZRFSDleX6J6nGxvz55xQSapqzumOv9Pzj2z+nY1V3t9IDGV9UQH9QCu0XvyE9e9QtuugwdiKAAAIIIIAAAggggAACtRHw00U/Yyy87uljS8oXvZEqYiwcyR4EEGgrAQWJqmPUGoO5oGOn0XcgNXQ6P12UhooSU/0HAyyaZqtDzLxCR29AZi6m/YrLAuMb/2VBPeftjFFvrfj+by3A6IWNpSobE1Etymf0H5KbVnFc8YVWdICTnnj1K4sZY/Rs+EO1tKaOGt56PwswhkcLM9KevpHUkqeKoLt2acY0vGHQGIMAAggggAACCCCAAALVEPArEv2NwqsUDRi1s3AkexBAAIGAgKKPwk4l1uhVpSLW1EBgsBc8Fu4PDGvAlwX1nLcCxu7dgcQ1zM1nFkZdHzcyuv2zbNiYK3FUG53bQyu3lfjFw9mMeft8GXPshT9zM8aH7k1eeT1MomVPD0S3vIfyxduGFd1SByVvuU59YdQzuhmrfyvqwckQQAABBBBAAAEEEECgPgJ+ruhvFN4HU6QLTdiDAAIhBZI9+zSXMzDYW2nQMecC+70FGzNz8cD+pni5tJ7zDRV2qnZxFemiHlYyymDTRmK5B/fDRoW3Rt9B1YJqBcvlBq96vwpKFQyOvfCZ/E9K28PbPqH9+tVGqR7ZtjF74pHog/do5MyB76/6NjjQE0in5uyZIYXw7sextKePW8Xad8AtZVQuHb+grwdoCCCAAAIIIIAAAggggEAtBQLViZoxXXh19XMJDNNLmrwUQrEHAQQKBdyV4pautajl43LVVsF50zpWrYr1Vn6cVXhC9tRSYOHCi+ocPfz0J/ObR+sTnHlzQ2TzusWY8amPTe/91sLF7fZ4r4ZZalXTd2D+7NPxx3/TG+D2dnGWLLZZy0dogWvZU/1eK3YvQtS/Rk+HWv+ouY//dFrOVHvcdVDdju377CZcZ8B/FjYQQAABBBBAAAEEEECg6QTCNHnRQylOVB2jckX9aoN0sek+aG4YgXoJWFP9SjzU9/bWDThe25e8PYvvKFdUPKJspBm7SN96uor9r2NMqxm3YiWtrxhskVOxi4Q6kdG7N7JpXfxHv6XJzvkHqNB0suObih+9FLHov5ocvXD++fyj2F6pgBsb5koT9U1QAq+58H6xonpJqy9S/t+Lql5TA8e88WrUvtJrMR4BBBBAAAEEEEAAAQQQQAABBBBoQAFN3dUsaSUeqcGTikpSA0fd9KNnT3bpLM70wqSiRb3VjAswVpzdjF/wMiL33+7dgfOrx3SNI0dFVdEf/lrs4fdq+m3wZqYHFs7/VEmjqhwjG9+xGDNuXjf2wmfnTz/pmPOB8bxckYByeH0H3JA5r1hRZ3BSCeXP3pdEf1mBvyZVPKr5ixm/uKJrMRgBBBBAAAEEEEAAAQQQQAABBBBoWAGlYUbPHj8x0+xOLRnn36064d7qQ/2G2w7Gcfy32nNjMVPq2asNt2eHfXsarAeiQEmlnm58tHQhvqpyWWNXY49+MPrAvYqIl71QxtSyjaq9rOWNLXszzf+GY0y56eL1I8stsJlOTnmxvNbhDGSM7tdmaYbf/B48AQIIIIAAAggggAACCCCAAAIItLeAVoibHVFipjgxUItljlx2UxTlaeP0ps+63ajdNfT2B5Tyvz3qLm1079YwtQ/O31/tbXvm7fgTv60yxVz/6GpfjfNn1btHn3JmYaKEhb4nqeuH3S9D7K0Sw3gLAQQQQAABBBBAAAEEEEAAAQQQaGEB1TeurtVyS5qoUNDNlPIqPIs+psQWZ5SP9xUdUKWdmeTE6E8+FVl/5/yZbVW6BKf1BZI9e7Xcov9yuY3c4qVu4KyCxuXGsB8BBBBAAAEEEEAAAQQQQAABBBBAoE0EtNqe2+YmxI/aebg9cUIEUCFOtoIhWlZx7MX/obUWE4c3ruAwhq5QQDW/ygzVkjvMcfbUNbeIsbYVrWFujDEIIIAAAggggAACCCCAAAIIIIDAygSctCrr3Lm9LP62Mrjbo7UcpXH98O3XJbe8ftxKGkuOqsKbGWvi9b9Txji56xtZx67CBTilK+A2aomdD2PhmO7M+tTgsTCDGYMAAggggAACCCCAQEMJJKYWznde6zzcrV9t6GVD3R43gwACCCBQYwEtFqeUw/v1L632E+oZrUUFVWvnluddP5IaOJYaPGFGOlORX6rmyoyeV9Nkc+SSeky7bU3KzQ72z9ySG1qLMnX9SMhH06qV0s4sjIUcX9FhzvS+7ypjHH/5C4VtaCp6ofY7mZPWH4JSegXI+mMJ+fz65oSsfQ15QoYhgAACCCCAAAIIIFAbAT9d9DPG2lyXqyCAAAIINKaAWh4ne/apYbR+/TtUFZafOobZUNjoH9uGGzm9vSG7MCuGEqkWsawX1OyJR5Uxjj73R27naH4qJODlxlqAUfOj3QA5TOTu2Or7o/LXCt0Cp0EAAQQQQAABBBBAoHYCXq6Y/2/trs2VEEAAAQSaRSBjadK0Fu5TDpY2ptWHQhV3mflRey5mJ6JqKm1PD1oT1+yJPsVl1ujVzFy8WZ6sGvepfFWZkjUZqnWLCkGTV3bWd0L6wq9eiGy4a/jJ383MxaoBkn9Oe+ZGavC40dOhX23oZf67rbOdsdQS2k/j3bpE2yz9dPpT0viQ86lLn4p3EUAAAQQQQAABBBCosUB+tOht1/gGuBwCCCCAAAItJqAYVkmR6hjT5eoSFdK6UWT8rboL6G4jm9bFHvsNa7y7Wjej+cKDx/3Mzd/Qzvrmq9V63mxW9cCp/kPek2p5gVIrbTppD0cBfvXuhzMjgAACCCCAAAIIIFAlgdPHevMzRs2YrtKFOG1rC9w0rO5L0TPHe/WrDb1s7efl6RBAoBoCrVTbZkbPubFSd4c9O7KclSpCtaClhmljuTEV3J8aOOJGeU56uXNqRc3oQ++ObrnPHDqz3Ji17C+aLnrhm3tjLfvjKLNNdu1yn7Rrlwp9i3wEShdvnNQAFT22LAMPhgACCCCAAAIIINDSAjR5aemPt0YPpzhRuWJ+Uq2XZIw10ucyCNREwBrvC7WI3KpvpvVq2xxHc11vpWcn3anHjnObx75pT/Unu3ZrgNbou72/glvpYGPo0Z/8N9UoOuZciYuoR0/s0Q9ENq+r+EqASo89jeX+bdm50jnudGouNxc+1z5JCzOOd2uRAW/ZAXtqQF1gxKKMMZvN+5KU+Jx4CwEEEEAAAQQQQAABBBConECD1A12XRzKTxe9be2s3INyJgQQqKuAk3bTj3BVbY59U4OtFTZ5adXaNq1Iafj9cbp2aCE+4/pR/euHbG49W3V+5s9siz/x24ljW7Q8pq6g5THVyWXita+UvZpW1Iw/8ZHIhrsXLm4vOzj8gBIfsafR0kWMi06y1VR0/9P3N7SzijPTw39IjEQAAQQQQAABBBBAAIH2E2icusHARHsvYFQRY/t9JjwxAq0p4GQsJSGa8xvq8XKDV7SoYIvXtmUsa6rfmwqdFyjt1TTkzMJEKNJVDRp/8c+VKHq/6hA9vv0vtB2yLlHFdW654/o7wn7oIe4w2e2Wa5b4Vc+XEKdp+iGObfqlrSphVbNprdO4pLq16R+RB0AAAQQQQAABBBBAAIFmEmicusGiAaN2NpMm94oAAvkCjqPsyzGm1JNCM2rVM3oxYFx++T7/aPWV1mBV7mmPPfO2Zn0avXtVoKX6tOXmwLZsbZtju4BWchHHcbQtTLWA8bmquJG2VSo58dqXNS3aTxrHX/68lgHM2jfLXlef+8TPvpS1jbIjQw4oGzBqQMhTtcAwRbhG30EvbtW6i0odW+CheAQEEEAAAQQQQAABBBBoRoGisV5d6gYbJ+psxs+Re0agEQVss0SlmduuorvD6Nmr/CrVf1C1eamBo1pETkvMuXV6XTt0bGbmRirSqWHuMoMa7+7cqf3uNNhMsAlU2eipuWrblCKa0bOqFbxt2LVbRPVaXk9R4cyhH/gZozaiP/y1yY5vlljxz4ydq3i3kZaNkVf9B+yklcN7fxf6a1Iav+ozcSACCCCAAAIIIIAAAgggsGqBogFjXeoGNVk7cDN6SZOXVX+yHIhA3QW0jqKbGV4/osDQ6Dug9MPNynLJ4e3QbPnprqnIKf266WJBwLiYMS59wrIBYxPVtmnBw1uPs9MLXVPXD7tPff2I99DK2TLzo0sBqv5qevc/KVc0unfPnnx8+KmP+WFj/PEPJQ5vLFz9b/yVv46sv1NVdhW8sxafCL9aKZWzeh1e3C/JjZO16Se+2pvlOAQQQAABBBBAAAEEEGhBgYaqG1ScqPtRrqhfbZAutuAXjkdqYwHN81X6YY1edQ3UCtmx3RmdtqEwRPFI2phOL0wqjFJupn9VL2cnhpLqZOEGjCpfXFLBqPPoNzBXumVq2+xEVE+nHM+aGpSS95VxjGlXz2sVneuA474cvVK7L1TGjP7wPjV88a9ojVyeOfD92KMf9JPG0Z/8/vzpJ71G4WpvHdn0rrGf/ok/vlIbJT5ovVWpqzTjeXK5dIe+GCr31aqMLMnYjB8i94wAAggggAACCCDQqgLKuLovRTVlWL/aaL3IS09E3WCrfnt5LgQaSkCLMbqZWG5ZxTA3litf9ANGzY/elZsH6k6R9n4DaVLL1La5BZ89HemlSyzaE9f01Jm5uEeXUfqaa3dSsymxmrI9e2rrwoUXg5+dk04NHJnc8Q/RB+71k0aljt5LLZsZHL/21xmraMbofh8KJs6v/WpNdgaVDQ+d8f5AKls72mQO3C4CCCCAAAIIIIAAAo0koPBNuaLXzthvatySGSN1g430veNeEGhNgYz6tlx+3Ry5HPLxkr37k925gHFJ+eLtgLFwTcWiuVPRNDLkPdR+mAJD3XBhDGtqtviVN9SJ278lxUfao0JHv8rRf6suG0ogk//5qttmeuM7vKRx4tWvVO9OlCe7H7dS1u7d2giUs1bvutU7sz5Qa+yq2oJbE9eya2vXojLg8H9o1XsizowAAggggAACCCCAAAKeQENNH+ZDQQABBJpawKswTEV+GfIpkn0Hkj1q73Krw4vb3uV2uujGhoX9gpu/ti11o1OPlk0vzoz2rZSm+gsw+jut+AUNrv1ijP4NFN1Q0qjETx1qsiHahRc9Q/vtdDT53f1K3/7daUbPrzFmbD9GnhgBBBBAAAEEEEAAgQYVCMwd9osYG/R2uS0EEECggQXsubjyk1wf5FB3eWuK9K0FGAsCRqVYRU/U1LVtbjecguB0yQKMec9sz46ItLDcMW8Im00gYMb/f/bOxL+N6lz/fws0pfRDy+1229Ll3va2tJSlvaUXugAFCi1rSylLWfsjG5A9ZCEhC0majZDEsR03JntwnDSJIU6cWLbjOMaWZMu7HFuKpJHGv+fMkcejWSR5kazl0UcfM3PmzJlzvjMy8aP3fZ9a3Efc+khfi3LVE3afGXWF3lsAkZl5cAM4RRIgARIgARIgARIgARLIMAFbgRGNGb4shycBEiCBQiSgKtIPekS5ls7ylAGUGZQW0qi+KN/GEC+zyUs6Y+Z+H01gLDfN01SAUT8aC/QKgbG7SW/J2IYauLDLf+St/ooXhs6ssxpGZ+y6hT+wKB0ghPejxgKSiEpFo3yHrlTB86jwQXCFJEACJEACJEACJEACJFC4BJgiXbj3lisjARKYBgJwPYZmggCtNK8t8oVFAcYyTWBMyI92Cl9Mc+Sc7RZqPQ5EpqxnawFGOX+pTUGJzehyUBtQVFaceZ3x7V3y7YGDs6g0Tp48PH2Q7K+GA6ahgk2VeMjhkiNkRrhCwx2JKecmRtwlARIgARIgARIgARIggTwhQIflPLlRnCYJkECeEFBVWWMw0uVKa8aoqQjBTWiMJUYLaaEuGuxO0hoqTzrFhkTWs1igqupTti3AiKPSL1hN9JvWz5qqja5N90BadL99U++ePw9Uvtq9/UH3vJt1sbFj9U/hLm1SRKfq0gU/DhKicbshvJtWqkaCor3nkqpcQzVLoTEih7r5QGy4Bz3DnhrmxZuIcZcESIAESIAESIAESIAEcpwANEY6LOf4PeL0SIAE8oqAqvQ0BV3l0NBifjcMQVJOHsbKyBKV6dI4q+Cr0qFMJdQkuAmPjAiN0akAYzTQh26oVJkS4GQ6hJoPQEv0rbsrQUJUo5hkb8nT7jdviiuNsz7Xvfk3gXPb07mhk5lPgZ0rbXqsGdARXx1E9RElKNcrQ3+lzCg+CDKlusBYcDkkQAIkQAIkQAIkQAIkQAIkQAIkQAIkkIqA0tcCYQQOJlBIxM/REnMIUAw2VAQb94Wa9yNGC8oV6tEhcBGxjqoSTjVqAR6PBvtBQ7C6fATpybYFGFF9EbjQBxsZReBbc3vbrBmO8XIItKv7sHvL79BHKo3ut77Yu/sJq2KW0UlO8eCqMnT6vTQrhU7y0jKgVzWZhsciUOCFDbfhJeIY8cFpqhQPRsPeaIbDVg1X5iYJkAAJkAAJkAAJkAAJkAAJkAAJkAAJ5AoBpb812FgppDOEYImyigmOLba7I0UpMOKGIQ5QxjEKLBqrSN8VaIlqyI94TmTISlxhz6cZvbtIvm6beX3P9odSXgVC6NCpVUKNnHmd951bUvbP5Q4BVylW0fX+/2ZhksIq3aISo7KltRHJ0WjEg4GI1hGTIJmFifISJEACJEACJEACJEACJFBMBJDO7DrnPnWsEW9sYLeYVs+1kgAJkEC+EUCZQVVBmKKQTcJDCMpC8F50uBdqFRJy4WAic4TzbVUTnC/K8SFnXK8tiag2lOATDiB2SixCQJX+KxO8UtqnITMXUpv/0Oy0zxhB/juk0fT752DPnp2PiFUfnjslcxP30VfnFIsLuRj3V/hEGzTDQMM+3Hfr1dEzCzfdel22kAAJkAAJkAAJkAAJkEBREYCcCF2x+pBLf2OXGmNRPQNcLAmQQGERGHM5Kax12a9GZsvG/GZLaISuIUMZwYoibbzlKDagMkGPtR9lSluh8UJqGzq5ckpHzfXBELuIVSvdjVMyUVk+EUnN0BKtA6rIhtY05LD3rDwKgR1CYsR6dTWK9nBnnXUQtpAACZAACZAACZAACZAACUwhAVix6NKivoHGKbwEhyIBEiABEsg4AVVF+GLYfSbTgXCIloRwB9cYeDQLm+Yrx7CLxowv0OECwcuHoCAhetPh+PQ0e5d/v3vbA9Nz7Wm6atdG4ZptVXonNh2kmePRwp3FG5GK0dBV0zgwjIaTjm4FHu48h56QGc3dQoNoR/a0qZ27JEACJEACJEACJEACJEACU0vg5NGE8EWpMSKIcWqvwtFIgARIgAQyRAC2yJHOczB8kWoMBLcMXQjDRnqb5FVMP6E0Kn2XMnfdJCPDNhqTybRpS5IJmA6h1h9Ur6Ga9W1zb4TRjOloAe/6P14AgTEypbGCCDqV7s+B+lJNJEyMzlWjOk/5GFg9XPDREI/HsE/vyQ0SIAESIAESIAESIAESIIFMELAVGNGYiWtxTBIgARIggakigGxfhA4Gm4QncvxdXwqZBXGMU3UJ0zjSWWPscvp1RzfC7SdNp2RhV+lrxpSQUZuFa6VzCaGzzflCz45HvUu/6132PTXDdtXpTCmjfVAI1Lf2juHarchlhhc2lj+1l1OVa6H20/KpQ8iik5Ic8Z5FH5OQiLkJC2m7woxTO0mORgIkQAIkQAIkQAIkQAIkwBRpPgMkQAIkkEcEYHsR6WsOXTlqFPqQQwqzaRSmy9xCnGIXjdPANrplbg72I6tR4bLdVAnjG/sO2W3tLXkagXz627Pwa8Nn/zliiLXL7nQyfrVAfYlcbMeqW7u33u9++0tqsG/CV0Xwp6ijCBujxFdsqDPY9JF82FBO0/qow9kHR9EnGvTLUxHZK+V3nJs4GPdIgARIgARIgARIgARIgASmngD8XExBjNilycvUg+aIJEACJDAJAnDLhVdyuO0E9Bxd0ws27oMag2J0kxg4rVNRYlG/aPIN5Epnsx4jtCNEuCErOdCwN9xWbRWm0lreVHeC2ItAPu+K/9ZlRoQy+o+8hWDLqb5UTowX9pzpev+X+mJ96+6csKYnlfPQ5UPWSEXNV/pC/PlvqFBgHW58qdHQ5cPy4UTIorSAwS6ifI29uE0CJEACJEACJEACJEACJJA5ApATEccIXRFvbFBdzBxqjkwCJEAC4yUgrFs8NUFXua7sQVeU1skRb+14R5tYf6g0+tVTbmRN0oG0KCcDNQkxnNjGT5hHT2yNmTgLN65/30ueBV81im9Dp9cWZN40qoB2rPiBXKln0X9OzGxIGUSkYqW8reLxjpqjUhGgCE9w2QGSMpKgx26cqohE6foyeTTgKitURXdsydwiARIgARIgARIgARIggQkR8PcN11Rfkj4s2MDuhIbhSSRAAiRAArlOAHGAMMaFlhhXS1DnsKEi7K2VkV2xq160w8AiO8vQ/XzHJjNad9Hags7ZmRVCN6FBoS6faQ6QtiByCl/pHElMjipI3e3Z9RhsX+JK4+wZ8JjGtEeUa9lhlaWrqMpwzfuehV+Xy+ze8ttI18VxXxo6oa9ORiri+TdHKmrDoUrAqPlLWaS7yRi5iuxp5aoXOjOKCYz70jyBBEiABEiABEiABEiABIqDgK4u6hpjcaybqyQBEiCBYiGAiKxIl0tP8IQGFUTyr+dTIZcZXlBdcGgi6o1hkPQ3EQxmEvGS7CJLOv2Rp6QnQhmRP24jNtaXIqZRExt7sik2wjwafjcQFXHvjMnCavjqcO2Wro33tM28Xkpw7rdvUlBysLBesB9CPjgMX8QaZ32ut/Qvsaue8S4RAjuEYvmYwV3Ipg6AEpTO0eiD5GhUXBzvJdifBEiABEiABEiABEiABIqWgNQVjT+LFgUXTgIkQAKFRwDRiWPCnas87D6DjNGREbPhBRYOx170zFoy8rgERnSe8lsD749oaDCdYSE2Qn0Ne88aRVpBVRMbRzIc1SaqEW6Cfjhm8oJtJA4PVi0yTh6C22D1so5VP0YqcTaVT+McJruNmoetVf0VzyEB3D3v5o6V/9O16d7BE8vVUNxjBan9/Xv/1jZrhqAx90b/odnQV50uCjnRRkIcGYF1S7w4QD3ynS9ZT0corx7li4Beq/mL9RS2kAAJkAAJkAAJkAAJkAAJGKVFuU0mJEACJEACBUMAcqIUGCO+C8l1p0jfFSEwZiv4bdpTpENt/xZkGiqgOKV/u81ioyuzoZX9FS9IadG39vbe0mf8h+f07HzUs/hbaPQfnotpQ3MLtR43zj8WyKGKkcaJJd+GT3TXxl/JxSJS0T3/5ni84szrsNH/r7/rT2+k24VkcNkTUuTwJxtsRoYPeNN+CIm2NxfCI8JB5ecCMY1WCyGIipHOOtkBYiMkR5tLsIkESIAESIAESIAESIAESMBAwGT3jIxpw0FukgAJkAAJ5DcBpHnCKSMulVw+gjBFXagxLQzuFehmG9Nl6jkluwiVlLNK52cm4ioj3k+RboyrR/pa5IqQEx1qP4Xd9CMbrcbEUwJHDoLgPchocItGuq5x2J6dj6AdSdNoHDyxom3254fP/tPYIf+2VcW37i4sqmvD3UgDjz+iCGi8cqxr4/+hvWf34/FFxSJyA7IqRFccguhqXS+KJSIJWj5asWGftQNaEPMZaIjXIxWlR1WL+UugT3eRVgZabQdhIwmQAAmQAAmQAAmQAAmQgCRAkxc+CSRAAiRQ4ATUKOSR4OVDUm+B3ij0OiVoWjWMLYxqm+nolO8ibCzdLGlXmTXGbKrmg0Rp3bkj7D4tEYmfDRXjEhunaj76OJiYe96X3XNvVPpb9UZsICm4bc6N0NZkI6RFWX0Rt9XYLb+2B48vEeripntHRvXD+PxVpWPlD9tm3yCE8ZGRgKt0TGnUesC3JUmWNBLb4QE9hsJq0BOLwOQo/rloqjQWtxydgCpSqpsPWOXHsWG5RQIkQAIkQAIkQAIkQAIkQAIkQAIkQAJFQwCuLnpYF5QZ+FnAGFdfPTJPobRkM1Ir0iskzZRvdNMnmdENaHoI4wQWGdk4NrHpEBuHatZDcxusXmpa8vDZzWgfOrVKbw/U7USLZ/E3k0hteudc3IhFPAu/5pn/Fev8h2s2YGkDH70up931/i+xi9KLE1gFxMNgU6VWgNR8NsJQQ6PyO1Rl28qN5nO4TwIkQAIkQAIkQAIkQAIkQAIkQAIkQAJFTACGvOHOcwFXuRTQENmo9F9BUmrEdxEtykB7NtmMCZ4OSiM6ZHM++rWcxEZU5MtOZCNqLUJME5UzE1+iUOGsGSYH8J4donOg7sPEvvmxF2zej8n3ljxlmi7czz0Lvw63FzXYLw/B+hzeLmL5frepc8pd/UmDgGwjIaqq0tMUlM7mLpi/xLPmUw7LDiRAAiRAAiRAAiRAAiRAAiRAAiRAAiRQvARiEZRbRL27uMzYsFdaJKMwXZaZiDhGKeyYNEZXWdZiF5Mv2UlsRHZt8hMnc1TWJDQF9eHuICG6e8vvTCMHGytEaJ9dNUJTzxzclaUmrWUk/UffxqJw1DjngYOz0Dhw8A1jY4ptFZ7p6oiqwsAIxt944IMN5UJUt7wgaaK0o/xEhK4cxX23dGEDCZAACZAACZAACZAACZAACZAACZAACZCAmYBy1WM0dIauIjRGoclk74USiygLKaYBpdFVhg3sZq7u4mQWZhQbM5pODrsTKGnSyUWfsKxViJxovUVuoBs695b/1dSeF7taGcnr/B8vMM4WIZruN2/yvnPLSCxsbEdFSqwUYZzGxuTbcO2BeA6XanRD+G6otTouIbYctXXzQRBv3BcpaYHH5BflURIgARIgARIgARIgARIgARIgARIgARIoNgJqyB9218j4LhHi1bgP4V4jSoK2U5BMUIUSibehliNwdYGncKh5PwQoJCaLJFyT4Yh1/ZmUYYU9NIISj75tvGzHuz+C7DYSMRv0yCzjodNrjZ3zZRu0sdLubQ8YJ9y/93k0Bs7vMDaKbSUoBMYNd5vbnffxMOORNoYsGiVEVAaw8VWH+YvnUyRTO4/KIyRAAiRAAiRAAiRAAiRAAiRAAiRAAiRAAjYEVOUaQgeF1CazletLw56aaECEfhXgKxYxhm7Gl2xM064vhdgYu+qdlrUjhK9t9gz321+C+Y6cQKSzDtpab8nT1vkgZRiHoIlZD+VBixp1v/VFMf/2k3K2SncjCi361twmUpsTX1qS+HU9Hzyc2Oy4h3KLQjCHxbbJQlpIiDXypkNVNtW0dByOB0iABEiABEiABEiABEiABEiABEiABEiABNIhoEaRiBq6fFjX3GJDvnTOy6c+yrUx4+CWo5BVsUbF7450N0W8tdAVjUbSQAGj4eyvrrf8Gchu3ne+owx8hqsPfPQadhFsaZoJFMi2OV9AcOOIqpgO5cuuLMPYsfKHMpG5e/uDYqVXjlnnL5PE4cZiPWTbghuHxzjsPm1/dLhHlh7V+pwphpBdWw5sJAESIAESIAESIAESIAESIAESIAESIIEMEUD6cKjt39BeYsMFJTAiqg1Ba1gXNMYR5Zo9PVVFVBtiAgMX9qBnoL4E2qN9z8y1RpWeHX+A1IYAv6HT73kW/Sfepkg8NdDrW3M7+oSnyW57ilavdm/+DVYBjREVJrFhNbLBhSC0ehZ9w7Pgq6mz1/VpKdfEjW63FxhFL/inI2o3bv6yN6N1NfVJcYMESIAESIAESIAESIAESIAEjAT8fcM11ZeqD7nwxgZ2jUe5TQIkQAIFQADWulDkCmAh+hI02XC3MP5wUhf1rtCfoEbCfUZLnVb6WgxHsrIZVXpLnoLgJt8dq27FTKCz4R12n0GFRpRkxKHePTZ501mZ30QvAllvNPVbDgE5t2P1T/WVhj1nTEOjg3f5f8FEO83wRSRTy8jbYNP+cFu1aTTTLtxe9LsMI+ksmxyZJsNdEiABEiABEiABEiABEiCBYiOgq4u6xlhsBLheEiABEsgvAhAVEa6Gonzpq6ZIGY9bD8NWODSY/fVCbevadI8uviVszP78wMGZEIGzP6v0rwihr7/sWeFOPvoa/mRj26zPBep2jTZo/42F+/e9JFcH4RSnoAOiTEPNB+D54p7/HziEFOmEUxx21FhEJrmH2k9Fei4hADUdRDCCCbjKw95ah1HZTAIkQAIkQAIkQAIkQAIkQAIZISB1RePPjFyGg5IACZAACUwRAZEPe2E3nIvHN54aRWAbTkTc4PhOnFhvGFgr5qjRSGft0KlVPTv/5F3+fVRc7Nr8697yv8IPZWJXyOZZ0hK6bc6N/kOzhUIbCSLX2z3vy7LiomkmqHiJ/GjIjwk6KmI4594IKdXUOckuVM1gYyVuWbChXNy49BxwRFBrSvfwJFflIRIgARIgARIgARIgARIgARIYPwGjtCi3xz8GzyABEiABEsgWATWK2EXITWr46ngvCcEKJyL60WptPN6hkvQPuEo7Vv4P/KNho4yU4f6KF0OtVRm9YpLJTNUhqKDd238vBUPP/K90b71PxCJWL00yPsIdB6sWweamZ+cj6A9lVQ35k/Q3HhKZ7DL5XVXCnXUIXxQ3Dhqj96yxG7dJgARIgARIgARIgARIgARIIEcInDzaaNQYkTGdIxPjNEiABEggOQGYWaDoHNJI8Q5dqSoSb4vYVS+EJlt74uS4xFE1Gqgvw+mZc5SWFsmjkXvXj25c513y7YGDs0xFC1NPOMd6oBCib+0d+qIC57cnmaBy1YuYw9CVo6GWo2F3DQy+k3Q2HkKEJO4RnmrdDQfKZPDyETSKW996XA3ndDq5cS3cJgESmFoC0UAfgtjxRj0EllqdWrYcjQRIgARIgARIYJIEaPIySYA8nQRIYBoIxCK6n4VmkQyXZPGGzFjwyaGRznNQmcSflhN6yUqM6Ytd47oIfFvaZt/gfvumQN2HomAgzGVaqwY+eh3ZxLooh5jGwRMrpHfJuAbPnc7dW36rL8e37k4b82s8n55Pg5cPBy8fCjZr76b9waaPUE0xnecTye+4xWF0Tnwpfc1Bl8iVhkqMqozUFhLxcI8ECpxAbLjH8D8+8XWD8PkK9hX4srk8EiABEiABEiABEiABEiABEsgYAdMfWUJyEW+pMR7L2GVzYmDU98Ni07d3MU0aBRhxeoYExt7SZ6C8QV00XRSReKGWI70lT0vDaKHOzfpc9+bfBM5tNxmXQKKESjwalXosB6NSlZ5LyP6GTIqUZ2naguV0b39Q6WnSVy3VxUDz4UDzoUDzgUDT/kDTR4FGvPeF2v6td3PaQB/cI4gJ1g7AJY+iA54ENdhv7cMWEiCBwiOAsHNUtxAf/NZq/LbBN034PYld/FTDQ4W3Xq6IBEiABEiABEiABEiABEiABDJNAKIT/qpK8s5BVWrKmMQi4i/Kpo8mPKDUZmNDnRMeIcmJiFTsWPGDZOUWI0HIj5oBygwZBOied3PcCwZRf/CgQQa3+CNahqSKu4wJpxP1l2RWU3sIDjWYOfRSDItcZuR9w/lFk0xn9Fc8FxvuQmY00plF+CLUxSaoiweGsSKhLlYGGvYFGiogoiafUqjtBBaeRDRQrnqk+Qu6RTrrRlQl+YA8SgIkkNcE8NsggGIgTZXCYWr0BTsn+ftcxDHS12kUC/9LAiRAAiRAAiRAAiRAAiRAAmkScAhfHJMchSRVoC9ZgDFNN2FbBsHGfVCloqFxG8TYjpbQGAtDZ+vZ9XhCo8MOhDhEAPrW3N697QHZReRui/qQUBdFlI7xnVM3VFi3nFhhXBZaevc83TZTFJxEiGbv3ucDDZXBZpEfjdjFwTPr3G/dOHDgH4HGioAL771YqfF047ZUCaRLeAoTn1hEJssDFO5phhRj49y4TQIkMF0ExP/1GvaZ4r3FZPC9TPN+/BKI0P5puu4Nr0sCJEACJEACJEACJEACJJC3BAIuYVOS5B1sKM/bxaWYeLwAY6oQOMdRVFVwg4u0qjr2mcQB2EYPHHxjfANoXskI6tNiF6XAiPBF8/3N/ahUFE5E0rcIZZx5nWf+fwzsewURRwhc9K35GVr81csQuwh1MeAqD17aZ4sI+c4osRjpbtRMXvakU2YT5deEjAl5odtlOyYbSYAE8pcAfjHi6wY4yWuf8UbbhcABSrrM53VhW9ulsZEESIAESIAESIAESIAESIAEMkogpcCIDhmdwDQOLgswImIt7KmB5mYT0JJ0clHNnjh5QGCkt0lqVrrKh9009b2ujf8Hk+WkU7A/aJscrU8AG8nnbD9oZlrVQN9I1DElGTfIu+z7UmZsm3ODZ+HXse17/5dCXYTeWF8u3g32AqOmsoroTSQ8IgUbP9NagapqUmRGFOO0JsBOJEACGSAgf13jF0LM346fSWomyJhn/H8hya+mDEyQQ5IACZAACZAACZAACZAACZBAfhMQyWKWCDdjS+6IUVMMWo2i+qJxpdhGLb6wu0bpb1XDgZSXU/pacAr+GrXvGYuYpEXjtXAoZS3EYGMF9DTxd+44X0J/Q6HC+hKt+qI5fFEsc/qjUtXBqkXeZd/DAt3zvty7+wnUQ7NdZchT039gpnfxt6TM6H3nluHzO2VydOCi0BhDV47bnohGaAg4qmNHwKpTT7aTAAkUPIGIr078NsCvxwu747VqbdesqvK7J3zxZHucjSRAAiRAAiRAAiRAAiRAAiRAAlYCiKbTFRjbjTTD7awj50ULohaxQPwhCYHLtPyUYmO4/RROQf1D25XKP1FNYxp3hcbo/BIGx1eOIYKxbfbnh2u3OHe0OZJSYJzmqFQ12rPzESkYehZ/U5ZbxK5v/c/D7SdN69FMXoR/NEo1Dhydj5xozdsFydFaBKOrPKXJCwKWgpqkAPhCMVCjpktwlwRIoCgI4Esl2NBrX6hFk1rGy7oK6MlE6aJ4MLhIEiABEiABEiABEiABEiCBKSKQJIixYMMX7dCNV2wUspUowGgjWCEz2il60KAx7nESb4PN+2U6sFThhPi29g5UFLS9lnUpWop0gnm04aIioHF6b+vg8SViRWtul9ogFFr/kbd0mbHng4eUnkvGRYU8n0JgDEAZQMSpMI9GfnSFCF90lSdxeDGOgGBRWPlICDBxcNKEE07hDgmQQMERiAV65e8BVHlNvjgUYkVPfM1ER+nkoHiUBEiABEiABEiABEiABEiABMYIwDrTLlFayFCxyFi3YtpKKTbCPSSJUqeFL9q4q8i/bUd/7gm2HLZChY2ye/7NkOC8S25BUJ9n0Td0mRGq40Dlq5HOWutZxhat/KBjfjSu7iRsGgdJZxvj4CFBwjXe2EhnWKSft82+AZnOJlvn3tK/uOfe2DbnC2Kxs2f0V7w4JgPGwqG244GmAzB50QTGfWP+0U7PZywSG+5RI0HjKtASGo1fEqGMSth4lNskQAIFQgAf/6FOZbAzGuiz1lqEtCh+A7vKUyiHSJRuOYKeTJQukKeCyyABEiABEiABEiABEiABEsgWASkWCc8XV1maYlG2pjbN10kiNjoVYNTCF5MLjDi6RwRAml9q1+ZfQ2QbOr0WRQTlQcTS+A/PgSinK40dK/9nsGoxkn/NZ4/uh65UOYVQCt148q+JitIDB2diFah+aZoCFEXvO9/BinpLnpLRjO43b/J/vECYutbt9Cz+FnKiQ8hJb9ofaNwfajvhkBmtQvgNtRwdlXDh8V2GXWi28cupUeHggAKVohDlXqidpmlwlwRIIH8JQE4Mu0+Pffy1bGjEOSckRKtR+UVD2JvimxrhC6P9roBcmb9MOHMSIAESIAESIAESIAESIAESIIEcJGASG8ei7BLn6iTuGf7yhbpYYhUYI96z0N9QojBxPLmnhttO9O/9m3ueiG+U764Ndw9/shEVw8z9JyoAmsdx2IdKaVhLgo9MMgEzqngWfs279Lu6dhofXlU8i/6zZ8ejchfuNiKacXSNQm+cNUPpa3aYy2gzljwqLWIO0BkgLMAiR84TMaWIYJRdoRvo84cSa4qlHB2O/yUBEsgnAohXFF+QaTYukc46RCqKryRQTkGTGY1yougpPLAcK+jqy5aR6ii3q7dwgwRIgARIgARIgARIgARIgARIgASmlgDERqeiiOkJjDB6NkcwDp1aBWENCluyqcbCQVdZz/aHkGssVTgYoNj2z1BUKoaVf7M7/XTKlUaAIibcW/qMabaQAcWqXWV6O+RBtHSsuhUeN22zPjd08l39kNNGuK0a84GoKO6L/lJVxe8W86wvQTCk3owNpf+KsIwRh0qteZTGntwmARKYRgJqVIFgiA9ykjmIUGd8nOtLRTc1HvuN/siD1nKiRTw5XKT1ESK+i2hJXWIRv0AGPtPP4gYJkAAJkAAJkAAJkAAJkAAJkAAJZJNA2gLjmKQmpzdYvRTCGnKi05mtGuwfrnm/6/1fZjmDTw//E+qc3dspiDHSdRGr6694zrS67m0PoOykqeBn99b7ej54GNJfLBCPPDSdZdxVBtoxE+H5YvHckTFIurYAtxf9QqpyLew+w/AkI0luk0CuEZDfaKCmwYhyzXZuUBEDDXvxGyB21WvbAaHm0B7RIdLdFO+AROnLh9AS9p61PYWNJEACJEACJEACJEACJEACJEACJDDtBOSfrvjr1fktCjDCRMA0VfQXAmPXRVN7Tu3G8xAdV7dHSAF2r9iQD8nOyIYeiSr6caijiFG0hjUO125Fe5r5y0HNvcUaiIgWBEYiTmlEFVdECKWQFEwJj4Z4J31W3CABEsgdAlpR2d1hd43tlOT3C4hytD0qG+ORzBf2jChx7ycUZownSg/5kpzIQyRAAiRAAiRAAiRAAiRAAiRAAiQwXQQivU3O0qJUHYXAaJN8pwRRYtF/aPZ0zTyd6yYVGDXzGgeBEYP37PgDFNSeXY/rwUjDtVvQEmwwZ4UH6nahHWUnU09JuQbaoStHrT0R04hDEDblIYQsyqqMcJi1dmYLCZBAbhJA3QMEGzs5v4fa/i0+5sMpdELp/xLuPKevUVg+IVG6qVKPatYPcYMESIAESIAESIAESIAESIAESIAEcoFAqiDGPbAdMc0zcG475K/hs5vdb98U9pwxHc2dXecU6bg1dqi1ymm2yP72LPy6pijGoxx7dz+B3YTCidrJwzUbhMDYftJpKL1dWDYgLtF9Wm+RG/G86cR4RRnECPcHU2fukgAJ5CkBmR8to5STLAFmWPhFAWd5g5yo4vcwGiPeT5OcyEMkQAIkQAIkQAIkQAIkQAIkQAIkkJJA7KoHcSwQzZDYizdy8bCrXPWkPDFFB5gaazW+xJ+0lrdQF2ORhBHgpKwpb575X4GzCTRGp0TjhLOmY8fB5CWuLtpHZhrmCXeVnl2P6UbS3mXfg0+04Xh8s2vzr9Hu5NOd0B8V2BDB2HLU1IioyGBDuR4qKY/CMAIKQ86yTVgCd3KVgAio83yKZylXJ1i484LhS88l0/JC8QoJBncnU4/RXWk0byxaGw36Zclc3WV+tC//SwIkQAIkQAIkQAIkQAIkQAIkQAJpEUANrqBZA9RUsgviZ/DyYXRIayDnTtDiTDIjdu1NllUl4Co1ekMjfs+35vagq9wsRTpfLmtH7IIYRdK3KCzZenxc0/CtuxMrNcmASl8zCjDC5yXNoRDChFqLaiReXQ1nISQJqiPETOsIgYZ9iBS1trOFBNIkgHx8PF3mYp5pnsxuSQkofS1JitDKaqumX6Hy11E6X0aEPTXar4VW4xTgA4UvlYze08aj3CYBEiABEiABEiCBoiJwLRhxnXOfOtaINzawW1TL52JJgARIYAIEZPUt/LHp8I4rjeIPz+y+1GDfUM163/pfQHaTb/f8/+iveMGaApzdeSVeDfGZV44Z0EFdLImri6bITHmeqiDiS+lpspq2IJoRyzSWnUTJxI5VP0ZjklTrxNmMoD4bJhMZNYRFMBJ2zTGN8ZmoIoKx+YBpBO4aCQhhXMT0luONDZOeY+xZnNsi2dZVLh45XzJjkeKEM5lVR2UWsyioaO8dj68MgB2PpbGoAn63oNFYXNFpDpEul7hr3Y1OHdhOAiRAAiRAAiRAAsVMAHIidMXqQy79jV1qjMX8SHDtJEACKQmkUhcTVEc4tqQcMBMdlP5W/8cLvCv+W1cakU3sP/IWovsycbkJjCllKOH54oIMVWXjWSMiCc9CHfUs+Kq+CvfbX+qveA7FGOUVYaUtDyGU0X/kzf69z6MDWgY+ei39KQn3loa9kA7EHNSoFua0B2KFdYS44SwVBisa2WKWjuOfBciMORhJ67SITLRDI8fvDXBAfYPQleOI1MXzJtSqvpZMXK5ox0T4IqgGmz6K11RUVZETbfjaQpI3RkrrxRVxj5Jzk1Kk7W+q5CfyKAmQAAmQAAmQwCQJMC5ukgCzc3p9bbsuLeobaMzO1XkVEiABEsg7Akh8lspA+j8nnys9GUpI6+vf95JRo4MWN3R6LZS0yQybhXOFQ/Tsz0MtxOS7tz/Y88FDvvU/R2VFqSjqEiIMo1FzUjbKn/17/2aUFNKZKvRYeUPDbcI5OuK7aD0L+oPQHhNcHqy9iroFAprT50JojMX6QlStVLBR2BPSVvDyEbkrWNWX6DblxYpnStcd/4IAAcm1+I5AVk00RooidhERjCCPj7x+4VDbCbSER2OY9XbTBgyjEWg9wuKZJi7cJQESIAESmCYC7S09dTVt03TxrF6WcXFZxT2Ji508mhC+KDVGBDFOYkieSgIkQAKFTMBUFNFJTjG2o1Rjxomo0eFz26DCdW38lW/Nbb51dw0cfANTHcsEjCqI6hEJxXNvhArXseIHGZ/S5C4AA2jUUXTPvRHu2COxscgiOCzIsEwpWMX8bvy9L2KQ6j7sLX3Gf3huWkKWIaJJn6ZIn0SmttR8Ar16u9xAlKO89XrwpKkDdxGSanzsrdvFmSuNvH6REO0qj3Q36VbFcHhBbDP0RlBCoVR4hfD5mSoCKr4Din+QS4EXSqOOXV4i/m2CC4nS8bKrmpU86log/dkx4DzSJ9KrIUVO1Tw5DgmQAAmQAAlMhkA0qr7y2Kbf/Wje6vmVwaGxfypPZsycPZdxcTl7a0wTsxUY0Wjqxl0SIAESIAEQgGc0/sacwBsnZg4g4mo6Vv6PMYRP3x46uVJc1xByA7kDkYGI+svcfKZiZBUSaNusGViaabRw2wmsrnvL72Q7NnpL/2Lqk3wXoqtQezrrTLIDzoLRgx5aJgzBuxshYCp+t/B80bQgygtJ2CYJX5QfmbS03yQXyMdDqiKNRYzWw/o6IHBJ1Rq2QbrYpR/lxsQIRENXRaih9os6dtVrOwh+jaCDMVEan3R5iiica4nulr/5tduU2mza9opsJAESIAESIIGpJVC65RTURfl+6t53PzlRyEVXbGUrxsVN7RM1JaNRCp4SjByEBEigSAiMq/qi/HN17I/WzDBC+JPMGu7d82f81YzonZFIEKULvcu/jwhAmX2JuD68R0bUzExh6kdFsCVUxN7yZ6xDC9voWZ8TIgDWEwnI1O/BE8utPZ1apNED7gvkAsWqP8Qi0BWlnGi8g0iN1DTJvGHotPzMtYtymknld6SmZu7quTkySp6CSaTznOP0ULXy8mH0wU+r4u14Fg84EEDFRTjCg6f8pgBVE207Qs4VYaW4NYYamNhGizi36SP8loBTDLrh+wVZNgH28Wp4yHY0NpIACZAACZBAlgl42/sfvG0h1MUNSw8um1UuZcbls/deHYwH52d5Ppm+nK3AyLi4TGOfwPhIZjfdLOzS5GUCJHkKCZBAMRBIGaMl/z61/sxQ7JYa8gtPk9kzTOMjbgcqXPfm38ib0vHuj6DXIT86X+5Rf8WLmDAkAtOEAVYIj6VjwqMIaJw1A07ZI8o4/kEFr23krcvbFG4/ZRM8hhRWBC52uyDVwoBb2DrYZVWbplfkuykFRnQoNkTSoDx5FVaR4K+l9OJhLjY+U75eAMcXB7FhH343SqrYtr1KzN+O3wD4gmasjoQWwyzLNpp+h+MXLAIjbcdhIwmQAAmQAAlkmYCqjvzj6S0QFZ9/eJ2iiJrqNdWXn7xnJVoeu3vZySMFmI7KuLgsP2OTuRzkRNwv6Ip4Y4Pq4mRg8lwSIIHCJpBaQnGI4MpQ7NZg1SIIbv7Dc0zYEdGH9sD57bIdKpln4dfRMly71dQzN3e7t/wWszW7tcYiMMJGDUlT2mPPjke1pW0Z31pgL9vdJIOdcFsVQyDT+MZh71ECKeV3kww+el4h/zcEV6ALu1PaE0d8F6SilSzWsZA5TdnaVHwRMFoRQgacQ2/UW0yXCbX9G9hRDMHUjt8wuBGIfsS3D4hbRuUEUwfukgAJkAAJkMA0Eqjc9Qm0xPt+PP/SxbFKICjDuHr+PhnKuOi1kqv+cXzzPo1rSfPSjItLExS7kQAJkAAJ5BGBCQuMGYrd8q29A+GLI8o1E8OOVbe63/qiMTJHRPrNvE6L9DN3Np2bC7v9FS9gthBnjJMZOrUKjVY1FXFKov3o28bOaW4DEeqwSW0n1HIEsWRpnshuVgI0ebEykQUYbUJkE7savemR5Jt4kHsTJaCqQS393ClRGr85ZSZ1pK95otfgeSRAAiRAAiSQVQLdnf6H71gMIXHTisPWC5+vaf3zb1fj6J9/s6r1UkF9Qca4OOvtZgsJkAAJkEBeE0gZoyWlKuvPjMRuqQqyg71Lv2tCGum6CMGtd/cTpvae7Q+hHbFSpvYc3IUNDaY6cOAf+twg/XnmfwUVF2FSozfKDeiQqELpP/KWqT39XeHvoHm4QKsUfCwWD+kPVeQ9k3xAMvIRyHncYU8NfhvAgDjlTKF06fSUwc6U/dkBBOD+jDBFvFEycQQJY5aXSD+/IOyhZTVay/GRuLdLfRnrK1rhsIUESIAESCAHCcx9bjv0w2fuey8cVmynByFuyRtl6PPQ7Ysunm237cNGEsgXAj7vQF1NKwx98MYGdvNl5pwnCZAACaQkIHPurPphyhacmHLwcXeIRaDC+dbcbjpx4OAbaIc7ral98PgStOe8f7SYNawxhHPN7BuUnia5ioGDszD5odNrTYvC7tCp1RBaA+c/tB5KvwVJrHooIywenOq2pT9gkfaEZcmVY9aPg1AXi7KIpfQNsSbhWh+PYENFxFcnf8NgO2VWtXWEomqBA4vpSUOwKGqrWiFEulzigWzY5/QEIg8aHcQjyhcJkAAJkAAJ5DaBw3vPQznEuz6Vcrht9cfohsKMw1dDub0mzo4E7AkokRgUxepDLtMbjThkfw5bSYAESCCvCMSueqziSTotODETC/UuuUVYRSeUCFM9i7+JiotWR9qhk+/aCo+ZmNjkx/Qfmo3Zdqz+aSzQA3ptc270Lv8v21pqHWtud8//yrhMXuynp6ph71n9bsItQrXkntufyNZEAsiVFuIPzHxdZdjAbuLxItpDSUAZHJscguiGQEctuhhqJLZD7aeKCNM4lxoL9MLVXVBqrcZ3EKiXKDOd8dMmEFEkSh9BZ0ST2l4HH/NAw17Bn8nptoDYSAIkQAIkkBsE+rqHHrlrCWTDtQv2p5wR4vpffXxTmp1TjsYOJJB9ArbqohQbcSj78+EVSYAESCATBBAZiD9Fx/W2BhNO1cT8R96ECuf/eIE+IPQctAxUvqq36Bu9JU/ikBrs11tyeiOq+NbdiQlDV+ze9gA2Aq5S64SxdgQ69u97xXpoIi2qikqM0C5gDCFuMRxmWZVxIhyL6xzlqheqIAJfg42VCEE0VVyUSbiwebJm9+uYlL5LeN6U/la0oC4orI2xiyA9vQM3dAKQEKEHBpsqjZ9NiIRC04YrNOIYLbGyIlFaEyRxp/RxjBuwjNfilgncSIXbJEACJEACuUVg/su7IBji/czvVqeT+/xx5QV0fuEP63JrGZwNCaRBAKnQpsBF0y5zpdOgyC4kQAJ5QMBoxyA0qDTeOCVDC0PlMShvCGLEX8fyEr2lf0FLpLPWdEUEAbrfvqnj3R+Z2nN5NzbU2bXhbrFAzZ4GedMJs1WVQcRkzrmxY91dRjubhD7ajnCjTrusIlQgoe1oNrKhK0eto7GFBHQC0BJlgm3C74GGvaaPPCyWRIeGvQi908/VN6JBv9C0EX2n2x/76tAfxVT1PtzQCQghsWGfzUce6fnN+wU371m9s76BQEccwhcHY7nn+J1glCLT/hWhj8kNEiABEiABEsgageMHXFJd/H9/3iI3EMcYDISTTKDmeDN6PvDTBapdmeIkJ/IQCUw7gSThiwxinPa7wwmQAAlMLYFxVWKM9MarCE7tHPTRZOKze+6NQ2fWjkSCQkVc+UP9qL7RveW3kOl0HVJvz/UNNQr3FiiooiTjzOu7Nvyqf9/LaOnf93fP4m9h1d5l34cYmGQVMn4MRjDpx4MhDi1uO8t/jyUhW/SHRN3O5gOQrRC+iDIF0dAgHjbZgtzwBC1RjYbbTwqBy1UW7qwbC3FUlUi3S+SSa5q2ThSOJNqwR/UWbuBrAhEdqoRBJtLdaAtEDUGqLREwh3zmDjI4GTer5Sh0RcQ0IlY51HbC3I37JEACJEACJJB7BAb9gT/98h2ohSvmVmB2EFge++Vy7D5177tnT7Y4zRc20+jz8p82OnVgOwnkLIGTRxtNIYumXXi+5OzkOTESIAESGC+BNDXGTKuLctqDJ1bIMD/vsu9hY7BqoXE5CPzr2fEo2ns+eMjYnkfbEGEGKl9zL/hq2+wZSIhum/OFtrk3uud9qWf3E05Sg746YQahxTVBdoBsOBa/pPewbCDeDLXdLM1sIIEEAqjSKcSuLldCqxqFbIV2kV9vdDxHhU/Pp6Id7/qSYNN+vNFH9kSKrnEQkQUMKczi02TsU1TbEG8lupi/HRs2hRZHccjfzIhUtNZrxVmyVKMUITGOLHo5eir/SwIkQAIkQAI5SuCdmeWQCh//1QrdseWqPygbheo4p0Jv1xcATfLRny/F0X/ttC9BrPfkRhES8PcN11RfkpIdNrCbaxBSCozokGtz5nxIgARIYDIEkAWZpB4jDpnSJCdzrZTn4g9nBC5KmRESnG/tHf1lz/bserxr46+EKCcqGX4f4VUpx5mmDir+2IefCwTSjlU/gb0LZASbmcTCKLA2fG47YjWHatbbBCnZnKM1qdGI72Lgwh5cBf689oPr58ISoqGCFhs6jyLeUJOsHVGI0KnsnxMEy7VWi4cNhQuUhNwlhDWG2k/LRxEdkBktRO9IwHQhROvhaKSzztRezLuw2BbEGirwM5mjE+BfPow+tpYu4I+bgqMIOo0GbCyni5kw104CJEACJJCbBM5omc6QCk8dM2dFIQn6iXtW4tAff/HOh+9X6zKju7UPpRfR/vSv39Ubc3N1nNW0ENDVRV1jnJZpJLkoU6STwOEhEiCBAiaA2oaImRFlwUY9c7GbIc/oFBjV6PC5bb71v0BZwrjSqFUvRLCfcIGJJQgdKYbK6mG1Z/tDCRPWqkr27HxU6XdM+pjABBEEhexIoVEIeeG4UxAUcl3RwRyWNoHr8ZT8JYCMZvcZFFe0XYEIglWj+IzjOUH5RPs+qAeoyVyijKe1uB9SdCPBhAKAxlEgkWl+Jcpgp7G52LfVKL5fkJ/f5N/dCEsX7dsE++8gUPeApQ+K/WHi+kmABEggbwhAHpQS4uL/t8d20oGhECIYoSXijXKLf/7t6r89sEbu/vk3q7yf8ds0W2zF3mhKN8ZurhGhyUuu3RHOhwRIoHgJxCKI3hmu3YI8Qfgd5Lht9ODxJSLActn3hk6tCrVWBc7vEHqjKLp4Xdvsz6Piomrni2F7c6H8ICEa1jCwlLXtgEbY4sDPV8gU9aUivTpRasAIIsCpvnTEeQSnkdleMASgUEkfZ2sKLbKe8YRAfhQPkqs8yZKFGXRjJZ40J6HS6Vx8ZnFWUSfpK9fwKRZFLI0mLCMjaJECo/W+mGCKypbC0qXS6iht6sldEiABEiABEshlAqve2ge18I//+85gvznfwTht5EHff+t89IQO+fpTmxe8uvtfH9YokZixD7dJQCeQ+wIjppokiBGH9LVwgwRIgARIYJIE4GUQdp9GhiaEDmupsUkOns3T4XbdNmsG7FoQN2i8rtLfivxuLazxeve8L0OETJoUGUXUKPKapfggf0IFcowjVa4hs3W0236lr0XqGKJaY8sRtDN80XgvinMb0YN4EuDYMqIqRgLIq4VRCw6F26qFEJ0oUBt7YlvzHBGdHQUxnG7U0MRXA6JOI0L1TLnVppELdVfUnWg9DgL6GyKhcIEffYGkOIT6lkZuo0fH/jtq6WKbKD3WjVskQAIkQAIkkMMEzp1ulbGIVR/Vp5ymtJme8+wH0ah9jZdPqi/TTjolxiLpYKpwiIzpHFw4FHJbjRGNFM9z8H5xSiRAAnlKINhU6Zn/FT2nGE7KcIhGcrRTzm8uL7O3/K9YCExVbCeJUK6ujfdAgURVSc+y76H6ojXbNDbsk0XVhCzjKoMyg6RUKD+I3kwuQUBB0k8UkoVmPouNiPdT28mwsdgIKFc9Cerf6PplcrR4ZuA2Ehocbbb/LyLxZE9o5uYeSKOGmOYqR3XBSM+lsPestCBBY3GqiwgKlR9D6LoQEgEEpQwkPcRzxitVwkNHS5QOe2vNPBP3hS9MfSlOxy1IPMI9EiABEiABEsgDAteCEeQ4Q2Cc9/edaU530et70H9/qc3/ImE2jUPzX96V5lDsVtgEct/kReePXGkoilBE8cYGdvVD3CABEiABEpgkAfy9LKVFz8Kvdaz6sfedW4xKY8/ux4PN+00xV5O84pScrgb7kAFtrQOJzGgsIfklYLbbsfo26KjuN29ChUmUp9P7i3qJmjCIenexq169HTqkqHGnv1RV6btkFScRfobgKN2pB8ptpLspeUyaPiQ3iogAvu83Pk4jI9ADpfAFDTwlh0hfs+hcX2IuCahcQ/a0HEf+RBSuiKctypf0tYHcagpmFjGNWkVK/B6QXxkgiFR+6k09rdhQAwFgx5uibh2HLSRAAiRAAiSQfQInjzTed6uorIigxN6uoXQmgBhF9J/17AemzsFA+Kl738Uh+MWYDnGXBEiABEiABEigSAnEwt53vgNX6KGT7+oqIv4wHzq92rf2dl1phPY4UPlKOtJH1jAOfPQapofJB+rwJexY4oZ73s29pc+kngb8a2q3eFf8wD3/Zs+Cr2qDjKAaHuQICAiilGLSF2RDdBNJ00M++47IVEXRxaTprvYnsrXQCUDUQvgcxGdTWc6It1aqgunUOI10nhOdXWUmoRLwUFcQkXtKzyVk6Bc6S8f1AXKgvgxvUXfR8lKjCkyfAVDEdmovzRQ+jRKL2jcIlvHYQAIkQAIkQAL5QaDhvEc6tvzhziW2cYmmZXx2qQsqInxeTO1rF+xH+zszy/u6h1B8b9eG6sN7z7e1dJu6cZcESIAESIAESKB4CCAIEDLdQOWrtkuGRuE/8qZ36Xd1pbFjxQ8GqxY6qmq2o2SmEaFZ3uX/JSfmW/MzmLnI63Ss/mn39gfTvWYkOHhiuW/tnSIZHJayTfuhOYQ765KfjsxKoV1oCa2iv/tMEguY5EPxaDESUBVZmRM/dVVfcFBVUYZRE67TyWgOtf0blUKLEWAaa1b8bpCEZuvUF+jkR1iRgcpIlL58SHyc04ggdRqT7SRAAiRAAiSQ+wQiYWXLu8ekgcvMZ7b5PMnyQ2H1AiHxxUfWG9d18Ww7Gu//yYJls8phM41t/T3vpV2QHI2duT1eAshkd51znzrWiDc2sDveEdifBEiABEiABKaFQNeGu5EpjMi95FcPt5/s3/s8gv2koCeMYHLhFVWGTq9F/KGcVffW++H06j80G2GNCbpNyqlqphuRvhYhLzgUbzSOgfAzoV101Ue6LkqNApXuEDNm7MNtErAhgKBW6SSiXEMEIx4eiITGboi7C2oyV6jlqE0CvrErt60EVEUNxw0xUfgUeG2/ComGrgIvjuIWGHOikTodT5R2Cku2XpEtJEACJEACJJCfBC67Ol78w/sQBh+6fVHFjjO2OTfhsPLc79eiz6YVh/VVhq9FnvndaqkoYmPP5pOIXTxYdm7JG2UQLf/24BoImHpnboyXAORE6IpGR2bsUmMcL0b2JwESIAESmBYC8HZByF+6l4b60bC3v+LFdPtnpR/UUf/huZBJhcw463M9ux6DgYvI+B7XS1Xh4QLNIaXFhoyMEp68Wl42jDYCF/bgRLxR2C2lVDuuSbFzIRGARQj8i5GcKxeFJw0JznhskOxsXKaIj20QjyJ8yY3t3E5OADxRskAP6QxeFu7t0aDfdBZqXcY9uz2fygKM6KDLjDKsUWSvJ3eUNg3KXRIgARIgARLIQwJRJfrh+9UyBPGVxzchLtG4CKiLKL0IIfGBnyzo9Y050G1cfhiNqOUIUdEkS/q8/vaW4i3PYqQ34e362najuii30TjhAXkiCZAACZAACWSNgHfJt3s+eChrl8vchWDI0lv+DARGGc0I9xa4tKR/OVS90xTCeJ6104kiwEzTIY3V7WToI04X7/pSIXGoUacR2F60BCBb4eExLh/xdTJkzuTDooXSadpj10Vjf24nIYCPpPYRjhs2SbMbXTnEiSiDEPd2adwHp3h9qLC7BieOxIVfFb83sEvnd50PN0iABEiABAqbAAonvvbEP2VE4sxntqKa4uljTRAeZXwj2v/1YY1O4NJF730/no/GQ2UJX4/qHbgxSQLwNbYKjAhinOSwPJ0ESIAESIAEskCge9v9IqG4UF4Q97q33ic1RoiNg8eXjOoGKVYoPXz18Cen3rC5gfgQ9nya0AHRj037EdMIcxyEqKEDslxp75KAqNB31JAfTsTJVqkqeDBgLGLqo0XACmlaGew0HooNdaJRtDP13sglyTZqqCIitL5UhhbLWERUkZVnCN9trW6q+PCOBpHKQ8hSB2cAl7sIepQxycYvEZJclodIgARIgARIoAAInDrW9MIf1kmZUf+J2MWKHWPqohKJPf+QyJhev+RgkiXDn/q9BZWvP7X5iXtWPnjbwtee/Oe+nZ/g3CSn8JBOwFZgRKPegRskQAIkQAIkkLMEEFIFOS7syY2ailOECXFKsH2RMqN3xX8HXeUpB4501kFkgAqRpCfsaNEH5jLW9ElloF1oFMNdiF2EVol3knF4qMAIQF3EMxZo2CusghxemmyFuLiz1uMR3wXxXLnKMY7xqAJNTMTEltgWEjT25LYkELpyHMSiw8I2GtYt2IZvC1LOpWE0Es9NKq48S/pHR/rGaqjCRF6LQx7zpidhEiABEiABEih4Ash3rj3Zsu29j9984cMFr+7euupojyEzGsvf/l4V1MU//2aVU0nAaFQt23b64TsWS4ny4TsXP3Xvu3IbPtStTV0Fz3DyC2SK9OQZcgQSIAESIIHsE0Bsj3fZ92AS3b3lt94ltxhzCbM/mXFdEYGCxv5KfwvqLloCvdRA3Yfed26RMqNv/S/C7tPGs0zbqIMHOQIyo6nduBv2iFTKmN9tbJTbsJbAIXNko7UfWwqSgKqGWoW0hUBWq/gsVyxLd+oBdSYMMp8X4a8jStB4SOreKNWI+o3Gdm7bEoAwKD7F3fFv+RFULG6KVugSH16nWyM/+7hBtmOykQRIgARIgARIAAQgD8I2Gmrh+TOtTkDg84IO6LZ6fqUuTrpb+1C2ETUb4SbjquX/bZ3gxdsh3pqCGLHrpOimGIuHSYAESIAESCBbBPwfL4inEsMbZeZ13uX/FRLGJbn+glzQNntG/7/+HgvEi0j37HwE87effCw8eGK5e17c/Lpnxx8RFWa7QplQCXto26N6o3LVo28bN1QlDCkj5enGU7hdUASiipSzED1rW4FTal8Iq7NftRoNXRG+xigAqDuPyJ6hthMiiJHylz24hFY12Gf8GEpRFy3KQGtCv8QdWXQxpbtT4kncIwESIAESIIEiIoDQxJf+uAHi4ap5CdWkjQi2rf4YHR79+dKmCzb/Wt5fWoujCGikVmaEZrsNRIhjhK6INzZIzJYSG0mABEiABHKLgKrAdLVn1+Nx/2VNZuzadG/gwi5TGFVOTdt/aLbURd1v3zRYtSjUWoXdrk33JJkkDFwGPnod1tJtM69vm/OF/n2vqAGRRGl8yZJ3wj12Yi81KpSNlqMTOzv3z0KIndLTlPvznMYZiijWhgo8BmG3TcEBRLfiUJJARFW5hs+jeIqgchtNGVUFufnTuK6cujQKXUZDVx2npKrCmNtQEkEmR0O81c27TedKERIqrqmduyRAAiRAAiRAAjqBkk0nIQ+ipmJgKKQ3GjdOHmlEB7xPOVcLfPfNf6HDmSr77/qNo3GbBEiABEiABEggjwggrVhPNFbDV4drt0JaNFow9+75s4jFGsnFKmQoZNe18R4pM8qftqXtTLcD6+3Z/UTbrBlQGj3vfNdk9DACuVWzhzb5+ZoGcdqVDrYiDbMQXwgM8yz+pnv+zU4ZvoW46ImsCfKXTMi1ugVJ/+LkHyjIjxDHhETprZ3I5Qv7HFQ37XIhmBPFKlHy1GmtIuDzwm49HBHhoIhtFrLtlSprhUxNXdwD5kmEX6cLsZ0ESIAESIAEioSAu7Xn97cthDZYc9xeG8T3os/9Xpi/4P3gzxaVbj2tGr8qHcV07vQVdNiw9OBoA/9LAiRAAiRAAiRQCAQGKl+FNDd0apVxMbGrXiQUd6z6ia7dQVYaOPhGpOuisVuObCPcCzUk5VQ73v2RfYq0Za5CnNz0G3/VYsuREeRRQohABJQaSaiDZ+1pbUHQGs5N7hFjPStfWvxH3gLnjhU/GImF82XO0zXP2FWPeIpEWm5CpVDI10G4wKQqpYhSqNLCWOmjT5DhHirBUMuRUPvpuF2LrHeqKoYe8c1Ib5OA39eiH8LHWX53AIPpcOc5JJtDMMdHFfHG6IlDVBd1VtwgARIgARIgASsBxBz+4c4ly2Y6eibK8MXnH173SfVl6eryyuOb2lvitYz0AYevhiAwItVab+EGCZAACZAACZBAARDwrb0dkhH+vrZdCxRF6IpQF3WlsWPVrfBjte08bY2qAskLKc+eRf8p54lE6UhneqFfatR22hAxwETkS9p98Wp7imiMRaBdIHQNWa6OffL5AO4+CCNLOp8Xkb25w0McTxF0QsS1xq+qKlqLEB4RLxduO4F8c4Q72gY0QplEt7Cd33T21pBbV1JlFCLEQOnSjo8bEKHopVWwlW7dZkenqCKcXOpLxu6CJgKH2v4Nj+ncWitnQwIkQAIkQAK5R6DXN3jV7/j9+z+e2gzl8OPKC5h4cCj83oJK7D7w0wUfvl8dVcb+ye3z+tE+85ltubc+zogESIAESIAESGDiBHzr7oJk5OR4MjquirzO3tK/oNohOqPa4Wh7Tvx3qGY9ZjVw4B8jkeBg1UL3m2KSqLLYW/JkzO+YQZl86ih2JyUImAKbvDaSnAgtSChCneeS9MnrQ+75/+FZ9I28XkKWJx/x1ooHyVWO+gO4tFS9gqjQqGVA6zIXRGmE5CGfOjbkQ5K+PkkWXdRRYEP640BjRJVL2Q5dEd93CIz1pRb7+JFAw17hx2154Szk+Ed8dYg3BvNosN/ShQ0kQAIkQAIkQALjJgBjF5hEh8Nj/5K5+GnbX363GnLii4+sb2n0yRFrT5lTpCE/nj3Z8s+VR5BVjThJxaBGjnsSPIEESIAESIAESGCaCPTseHQcmqEShBJiG201TdMXl/Uffduz8OtqyC/nAFNpWEvDYFrIjHO+AOFRPxSfpHLNf3S+uTF+bOw/yKAci48KD40dcNiSidXCHSYWceiSr82Bug8Ra4fZI5a1a+Ov8nUZ0zJvVQ23VUMBQyL/iBKWTiIQyjAX6FoIcUQ4aDxvVwul07SykuDlI5C/zNVBp2X+OXDR2LBPfqZkXLG5giJKMvrqpFQrYmujY3/UhNpPoZ2hiTlwDzkFEiABEiCBwicgE5+RGW1aavhaZMOyQ/f9eP79t87fuupoJKwsfLUEkuPhvedlz9ZLXY//agVa9DcGqdz1CWVGE0nukgAJkAAJkECOE4DuASEOLsw5Ps8U07MUS0RMZs8HD2uhjNfBlGTwxAq9bODQmXViydXLUoyJjOdAL8rlaZpPWaSzTo+bsp6IOCitWymMqq1H87oFNkBCrZ3zBcitsBr3rf9FXi8nU5OHzNXdKAxckLTbsBcb0BLltRABG9Si7FDrTz4ncCo3TQOiGQRqeAMFm/bLB2nCwbemkfN9V+aJo+giihUgtRm5zLYrQslKqdPiFxoqK8o+KMAImKYamLans5EESIAESIAESGCSBLyf9UEhRAFG23GaLnik/8uz96+B0vjIXUsgSKLnZVcHtnHi3Od3VB9ynTnevGPd8T/98h20vPbkP/u6U3/Fb3u5yTReC0Zc59ynjjXijQ3sTmA0f99wTfUlrAhvbGB3AoPwFBIgARIgARLIFwL4u1vLjFa7NtyNyDRVFIIrtBcimnzrfy5lRu+SW/xH3hyu3YIcas+Cr5rjoByWjm6o8CY0H5GGWYKSbuCGknoiLCoWgVIkRCFkvCJEraHcKhw5jJpnzSIJfdbnkHXeveW3EBtltm+erSGT0xVCtBQGxWMgHgb51tQwYb+OpyXQsE9r3IOfyZ89FPAkYf12CXm2qRLQYJqD8GlrHrTeE59HfDwF5PoS6XIOjNiNeD8d68MtEiABEiABEiCBzBBA2fIn7lmJFGmnIo1KJLZt9cf3/2QBxMPdG0VqDF7Ip9604vDq+fuMVc8R9Lhq3j50e/KelYP+rBZJhpwIXVEKg/IndiegMerqoq4xyvXyJwmQAAmQAAkUJAGRRzzzOt+6O1G30LPwa91b7zNmFxbSkqFLeJf/l5QZ5U+oQONYoKoiXVpazQr5wu6No4UtCiE8zD33RknP5Dk+DpKF2BUF/QL1ZQhcjHS74p+gWATexCCmBzFi3UiIFt2gQIoiA3yNg4BmqK0pt67yZAKjNqQy0A6pH5xDrdXISYeum6at/DgmxK4kQAIkQAIkQAJ2BNYt2g9VcH9JMqfFlibfmy98CAnRboCEti3vHsNoC17ZndCa4Z362najuii30Tjey1oHGe8I7E8CJEACJEACeURg6PR7wnxZ+KHE39gNXT6cR0sYx1SjSqBuV9eme31rbg+c3zGOEw1dEagGVwjkYOoaI0QktAhjjql+IeYt3H5Sxm4JVaqpErvTW00OsZqI/BRPy+zPY9VTveL8HE9VZIDrmE+08zoQ4CqfnJQqmfMYY0dy8AkZm9xktgweN/owca8chCP2NumNThtqJAjHHIG6YZ+8O1AanTqznQRIgARIgARIYKoIwMblgZ8s+P1tC8/XtFrH7O70q8Y4RWuPxJZoVH361+9CYxzsz14Q48mjCeGLUidEEGPi1FLvUWBMzYg9SIAESIAECo5AxHu2f9/LiGDUZUbf2juGTq+GVUrBrXXKFqTCSCIWET8z84J2JKOwdCVTbqBxejVG1GP0Lv8+HhV4SUd8FzKz+nwaVQpfqKyY5qRRlEDcyvqSSYrSOfuEpMnB2g2fJlHEUitHgCBPeENDxB6LCoaQqwn7aLeea9sS6W6SJk0AjhhI2z5sJAESIAESIAESmFoCB8vOIUv64TsWI44ROdFycBi7VOw4A+ERZRV7u0RZxR7fIAyjP1hbhTDF82danYTHN5/fAYGx6bxnaieZZDRbgRGNSU6xPWQaBxnTtt3YSAIkQAIkQAIFSED7+x0WHnoaLErtdW+9P3Bh14gSLMD1WpYEiw1EPQUb9wYbK0Ktx9MxhogG/XABDiHOsHk/3qG2E1BI0GgZe9wNGMokLeq7ODTu4cZ5AqpxDhychcqc0BLdb31RJNGfWK57jqiBXt+6u6Axut++Ca6+4xy70LoL1au+DP4jqRc2GpgHtyBxN11l0dBg6rMcekzvE+IwqYk3I39cWrSADKoNiLBDl0hzhkKo9DRJvIgRlZ+C9NVCfBjxoY5d9U58ZjyTBEiABEiABEhgnARqqi//8X+FS8tjdy+b8+wHb73w4cN3LsYujKRh4AItEYriQ7cvQov+Rs+Nyw+bLF2gT8pxvO3Zs1CcqhRpmryM86lhdxIgARIggQIkAPuJ4dqtSCXWTD1E6jQsUXr3/BmuuLCqKMAFY0mxiDD/hZpxAQYce0TUk3iXQWbEIaclR2BQC9sO8a7Q3nsDLrzLReW9vmans9Jsh/oktRTrT+RKpznIxLqF2064590sw1mREB3PidaS6Ac+ej0OJBLs3v6g6DP784Fz2yd2oQI4S0WJPwhiacTUQenCjdPj8ZDtjhPFrVSuTYzDND4hE5twkrOigT5ZnRKBoMhujvdERGPfJemYo4vqkc5zglvzgRE1mmRAHiIBEiABEiABEpheAnBFKdt2Gp4vUkJE7CJKKdafFZUMYdoibaPnv7wLUiRSifdsOfXiI+vRE93WLtyP4EY5eYQ4ovGNv2zN5lowc1PwIXYnYPKSzTnzWiRAAiRAAiQwjQTSCQFC2A/i1jpW/URqTfgZ6bo4jXPO3KW1cm3C21d7S42xRMqMQmO0e4XcZ8Z0xYa4tChiriAMan4fcK+2Oy/dttHJ2BvKpDvK+PshKbVtDpxcrkcEo54jr/S3+o/O19qv8635WVw+VaPSJAgPxmDVovFfqhDOkDF1Tg+JcYVIJ8c9DXtG7YxVBcGfaAldsX/AjOfabk/XE2I7mUk1qlGZ+wzF3jqO8HBvFBbS8V8+4Na8X5DsrLN2ZgsJkAAJkAAJkEBOEUCGx/DVUKdnIBgYK4ZcuuUUZMN/PL3FlBZ92dWxfPZeeEzjPe+lXYteK0GqNXqeONhgXBQyrC+ebf+48sJHJZ9+dilZCZTFr+85vPe88dw0tyEnIo4RuiLe2KC6mCY3diMBEiABEihOAt5l34OrMlQjaEcpCeBP+4GDbwiP6UJ8ITNaC1w0SnmaxjgaymjNlYZBsKYlQk40vuPSYjwA8sKedNwonIhOi3yE+Drv0u9CXbQNyUNko5CaZ82AHKRPe7B6qdSf+/c+PzKaAqwfLfgNVbkm7lQ6juToqUXG6kw0I5JjcKDWW8a1MS1PyLhmmGZn6RCdRJDHB1AuVhnsxJgwWpK7iHtM8xLsRgIkQAIkQAIkkDsEXn18E2TDo/vsvyvs9Q1uXXX0H09tvv/W+eiGDGt95lf9wfcWVCLPGu36G6PJwEi9m9w4VHYOfRAqmU2DGNMcuEsCJEACJEACBU8AxfQ8878idSH89K3/+dCZdWown/5ah9W1/+MF/qNvC7FrcsmSo8nRRoER27rGWIL4RuMjgWJxIkzR+BYhi3jLxGr8LJGnw5AFnY3npr89LQmwcBXH84B0eOs8oYN1vPsjHB3+ZIM8quuugbqdbbNvwKHubfdPrwGNddpZaEGaM/SudHRCaWeMrOopmdW0PCHjnTkiPIVymLRApYztVAZEzpT5pUblUXymNBudeImGsEyUbto/yc+++XLcJwESIAESIAESyDwBpDxD+kNmdJJLHd9fjz6o0wjjadmt5njzo79YikaUc0S29YfvV+/eeOKlRzegBZLjvz6sMY6GWo4yC3tiEYzGobhNAiRAAiRAAiSQgkBUgZVJz85HZN4r1CEU00NVvYCrdCQ2NQJIiglM9DCUnO7NvxETHn17Fv3nYNXCCUtbSYSaUZ1wr3GykS6XQUvURUW5EZcW9ZDI9M2FjZfA9rRYeHRt/D9QtSkgGYt0bbwHh/yH58p5Dh5fAr1Rl3egwbrf/pL3ne+kk3pvWmke7UIuFjp8YllOJJVDYAy7E/5Za7soKWXrZRht+6TfOC1PSPrTEz1F7rPMbk5msS1Txa1+NypsX6SjdPMBXaiPy7NiZJkofW58U2JvEiABEiABEiCB6SawYelBqILLZpU7TQQxh9Lb5V874/++unTR++DPhCnMrGc/0CVHeXqzq+OPvxCGMqeONekDIsMaLXOfK9464ToKbpAACZAACZBA1ghArxs++8+ujb9CYqyU7Nzzvtxb/tdwW3VuWrr0fPAw5uld8u2BgzMHKl9BrrectmfRN4Y/2ahLXukDTCowamGNroR//4iCjYhRjMcrYkN76xGPYmMsGFJzxkl/LmM9oZfaT8xVNmEpdWx0hy3f2jsAE1XvTMd7dz+B9t6Sp/V235rb0TJ8drPeAilVuP0W6CvSd0XWCZQ3V0TljQYi4nYENUeeFOKqqoobimcpaThf+vym5QlJf3qyZ2yoUxCrL9Gt1dGCHGfjOEi9R5/ERhWPk/hkofSi76L+oVb6WoINUPtFHKPwhdE+aIknGgfmNgmQAAmQAAmQQC4SQKYzYhFRX7Fqv81XkIGhkMyhRpa0/EeTz+uHxzQEw7UL9tuuB8UbEa/4+K9WRBXhAYdh0fnhOxabpEjbc9lIAiRAAiRAAiQw5QRifjfC0jyLvyn1Ovz0LrnFf2i20t045dea8ICB89sxMQTaGcIsVSg/HatuldPuWPk/wpl3PC+HFGlHkVDUXUyQE0eTqROlRal+IEt6PHNJ6AsFCVFqMgYMo2EDu5lTF3Ft35rbgHFEt/HVpgO3F8F8070jUUWfH5ijEaGkekvBbsBVRFPAIClDCgu1Vku/YwTXoQCjXDWUVXGDGiuTJEorfjf6hD2pAx3TJ5n9JyT9uek94Wsj4MBoWwlj+dhGyKJ+FBsy3xmlUGWjGvKjBKg4BYGLiVUWNTOmMSkSPi9itGYkSo89mcaRuU0CJEACJEACJJCbBFzn3IhRhMa4bGZ5S5NPThJyItxbXv7TRsiDD9620PtZvHzTWy98iBYUY4xG48VSrIuq3HUWfc6fadWjH/ft/MTajS0kQAIkQAIkQALZIxALD51Z655/s9Tr5M/u7b/P3gSSXqln56MIsIwNxf8dYuirDtdu9Sz+lpwwAjIj3rOGo8k2NZOXMTkRkoXprUsfchT7wELLWfFBXGXJrp1jx2SKNCLH9HmhOCeQwkncnNirXIPbi2fh1/SeBbqhwuVZqFiQdkflRCTzyvzcUMvReHCdim7H0A16sm0cI4RHGb4YDV0tUFDOy4pF4iI5gn6Fa3aVSSSXH0Dhpq0aAxcv6IGL+tDxao39V+ItSJRuPhD21qoG6VvvzA0SIAESIAESIIFcJgBraeQ7QxXEG8GHzz+09ol7Vspd/Nyz+aScfGtTF3ZRjDG5V4vPM4BuqMS45I0ybGgW1bm8es6NBEiABEiABIqFQKTbhVDGjhU/GKxajFJ7sJDOkZVD0erZ9bjjZJQggjBRDFDKjOipG5E4nqIdSBLEaM1xTtI5LioaxEbr6clnktGjCMBTE0PCTJcLnN8BdN1b75ftqNLZNutzyEaPXfWaemJXBLvO+YJVBbL2zN8WGX0XtojVQjDU7nIIudLypUaxLRtRXgCJwCjVqOIdHhJhe1oeva32mL9w0p15VAEQSSbSaVcyUVWCDRXoEA9cbNrvlPUcj3X0u/VLU1rUUXCDBEiABEiABPKRQH1t+4Zlh958fgdCGcu3nd61oRryIIIY9WDFxa/vQcumFYdTrg4hkTB/QWcR/dg+QZvFlFdhBxIgARIgARIggfESUHouQVwaPLFcnJgbAUKxqx7IX8O1W5KvRQ309u97GZ41QmacfcNA5auGfGqHU2MRW9lQyIOJjh44X1SHM0iIybcnbPIiJwpvC4yAaSA0Dm9sYFc3vHBYjH1zpLPW/eZN3hX/rfS36j0Gq5cmzDAW8Sz8OrgFLuwKe860zb0R8aJQm/X++gYUNnSD/7jeko8bcGxJkrOMaEOherUctVkaCipq8XjogLA6vQNg6u3GByPYuA9+ynq34tmApoq1CxQNe/ETAYe2inSku1HigoRo20ESk0JlcZIsnmeGKyUBEiABEihmArL6ol6bEUnTv79tITRDuEInxxIOK0i4Rk+892wZ/f43+Tk8SgIkQAIkQAIkkC0C8JiGhUq2rpbGdaIKZEMEVabRdUTpb0E+9bhEMKRqCplROHGUYcOUGa1fFPpeulnSrrKJiYHyWpFeUdnP+obSqPRd0ueT5kbM396x8ocAgihQmT+OXHjsIp3cOAIcf9DonnezZ8FXIc+GWquMR/XtoVOr0E03ldbb82kDCbaa9iVELbuXjJeDrG09GOkWtybScyluRNI3mrSLrrEIvEhCV46Gmg/gJzQx7BZtkUCl/woUV/G4ikTpjwQ0mLZYXgj1jN8LS7Co3hc2MThd1HLkiwRIgARIgARIoEAJwPcZCuG8v++8OhjEEqErYhep0ymXC58XqS6+8tgmPfox5VnsQAIkQAIkQAIkkB0C8AiGiGQrsGRnAtarwELat+7O9O2tEYZnn5VpHXo8LU7Sn0kMRLfxjJrQN24sYicwyquE2+OlaRJOS7qjBvu7Ntwt9MO3vgj7nnj6M5J5E1/IiEcfvEXwp91L6WvGCN53vmP1m7brnrttiK+TCqFtTq50JDH5jGAxRrsWiIfidtSXxIatdUFzd+HZnJk66hkkaGusrEgxn3iZShkRajHaxlGpQIrcc75IgARIgARIgAQKlAAUxZce3fDoz5cO9A5jiU0XPJANoTqmXO7G5YfR84GfLPisuTtlZ3YgARIgARIgARKYJAGRYNtZl/4giBWEypQjLtJh9+nBqoX9FS9iShDH0l9FhnqmFADRYcKXzqCAGQv37PyT1A8hEtqmP0Ps6d39hOzTW/qMqXIgjLxllUs8ThNeYO6ciDhVp1BVxHlCEDNmlGPamiZZitBEPZMXlS2FbuYqhwiWO+vKzZlA7QcrxHbq9Izz1BRIeLKLDgrKfmquOrDUEd4usG6vL0mzpKpxTG6TAAmQAAmQAAnkFwHEH3aMVlCEWgjZ8MU/vJ98CfB/gQsMeu5Ydzx5Tx4lARIgARIgARKYEgKwa4FqhJ9wQkknLrF3z9NtM6/PBdmkf99LUu/Sf4rgOkWkTkzjS8iAyKe2Bhm6yiYTuyhSsK1j2rUgV3oCKdiIP0TusyTpP/KmE0DEr7rfvknrdr1v3V0A3rP7cd/a20XLrBmQGZ1OLJh2BMvhRsABGe7GclEyyg6pviNKWF8mFDB5v4KNlfhYwRcGecH60SLaUFWk4cMMGsqzsLmxrTkJP5d4ovRY4UojIoSShlqOjD3/9aOfr4Z9dt7xxlO5TQIkQAIkQAIkUIAEnvnd6vt+PD84NPZPL+sil80qh7r4wh/WKUrUepQtJEACJEACJEACU0xAudZb/lfdYRnKYdfG/4OIpIav2l4IwUKQoTpW/9T2aDYbBw7OhKiFqoC9JU8iRdo9/2YpjsHkOtSS2lEuo1OFvidNWPTKjRM2YdHnKYxC7ORE20Z01k9MZyMW6EFdTQCU6rHccDLxgV4EJ274vEjgceyrf4qYvXSulV99kOMMCxI9n1dOXgT9ooKifKFmY/MBVBS0irqQFgMNmpWJduMKI7ZzXLcP6p+AkPjcQmu1DgIJUXazTUuX/SN9V/CMQWlEWrS4Bb1NdIu2kmQLCZAACZAACRQDAfhHQzx8f8lBp8WWbDqJDvffOr/Z1eHUh+0kQAIkQAIkQAJTT0C5BoWke/vv4ybLiEabcyPMUPCHvFFlEsX6Nt4DQQmdp34O4xkx2FCBafjW/EyNBOLnKcHhmvc9i74h9a7uzb8x2viOZ+wc7QtFxSTUJNkdr5aF4FVwk+bgQVcZ7j52uzb/2klnFoxUBWrPUM16+Cmb0qXTIYgbh3KRiAOUq8AGdsfuZjpDZKWPxB6Ch4jRN1wd+x5cpvcKxxbLC84jsH2BfQnC88KwKTGOYOmcZw2I3hwN4HSaOWoq4llCFjMQRYd7IdVCWpS329bSJXmitNNV2E4CJEACJEACJFCEBOD2gqqMkBB3bag2LV+JxLa997E0j/7nyiOmo067USV69mQL+pduPX2mqplBj06g2E4CJEACJEACaRJQA31DZ9b51v9cynT4icjA7i2/g8EHyu55Fn8LLTia5miZ6wb9EF4kMb/bdAkoVP6j891vxnN4EY+XTtK3aZDc3LVPu06MDdMlR2RJj3cVweb9+inh9lPu+f+Be92x6icxVL2b6hduE2aoz1bfQGOuaYyQUWX2bqj1uFVSg82xmHxDhfUQygkKba27carhTf94SAlHGGHyKFnEfOLrCejGphsqrXAADRumlSAcMdi0H4ec/LtN/blLAiRAAiRAAiRQzAR0jfGFh9ft2XLK+1lf/dn2j0o+fe73ayE84v3s/WsiYSUdRK2Xuh7/1Qp5lvz51L3vVu76ZGIyo79vuKb6UvUhF97YwG46c2AfEiABEiABEihUAqgX5z/6tnf593WlUW4ggjETitN4MSKnu+v9/3U6CwF1/RXPoSSgmPOcGwcOzsqFipFOs02zfVwCIzqnOaxTN6XnknfpdwHQu+TbDp4vTqembk9ihTMZE5zUF55QD4RxCjMRCF+IQkx8IQXYSRCD+o1DBaNvG9etua4Ij2yENBvb49taZCOCFYMwuAkPWTtAdAWZYMNeVbNrMXZA0CMOCW6BXr3dlJ+ut3ODBEiABEiABEigyAlAY1w1b98DP11g1AalwIgIRlet+dtMW1yXXR2P3LUEI8x9fgckwTPHm2EK86dfvoOW1578Jwysbc9K0qiri7rGmKQzD5EACZAACZBA8RBQ+luGa7fCy2OwahESHpEZmwNrV9tmz0hiRCJnqPQ0dW9/UOqiiMcbOrUKWb05MPkJTiETKdKoqInbipjPodPvqQZJR04ROhKS0AEQ5RZF/N7UvZKIpcI8JfdesCZBWQAIX9BdjbNT+i6hEbm9xkaxrcU9QkMrqLRowyLD3los3Kq4oi6iMLuJRURWuKfGcEbCZuhKFU4Ptf07oVXbCXfW4VCgYS9ccqBAht1nTIUarKewhQRIgARIgARIoJgJDPoDNdWXy7efOVJRd/HTtpnPbIU2+Pbfd9Z92opDKcmEwwoqOq6ev89Y/SV8LQLpEuM8ec/KdAYxXkXqisafxqPcJgESIAESIIFCJhBVoMWhquFw7ZZIZ21eSCJwmekteTqdm4I6gb51d0Ilg002slbTOSU3+0yxyYuqQDQeK7kJFfHNmwJ1O01rR35r99b7hEg7+4bAhV360aHTa1F9Ud8d74ZQkJzf4x0tO/0hxso5G4MS4xF39WXGEFnkTUs1GMbc2ZnbNFxFVWxMsVUVBTlBSaiCTR9Zk6D1eYoceS0oFIZBemN8Q42OGUbXl4jR2qqRqG7uxn0SIAESIAESIAESsBD4cEM1VMHH7l5x4kgDIgnPn7li6TKOhi3vHsNoC17ZPY5zRkaqD4vkaON7XKezMwmQAAmQAAnkJQHlmv/wHGhHMswv/nP2Db51d0FvzM0VDZ1eDfUGdiRI4B2JpSs7IJ0TQVO5uaI0ZwWT4iSBfwl6navM6miccJVYuOeDh3C7UVRzsGox1ELf2jvk3cfzkNATO6rSX/asPApNUssXLkUEqfed74woQXPn9PYTZmtRGtMbYxp6SY0XcbxqsE+/fKj9lFhOfRmMSyCXoQ8+O2iJ+Or0PsWzAaFVhnoGLuxRBlqTLBw23IIb0qgjlqdIuSZDHFGS0UaBTDIoD5EACZAACZAACRQ3gfeXHvz9bQvh/IJM5zPHm85UNU2GRzSqPv3rd6ExDvanjoTUL3TqWOMJg8YInVM/xA0SIAESIAESKEgCKJLmXfHfQjia/Xl4ecDJpWfnnzpW/rBt5vVSTfKt/wUikXJq7ahrJ4Puujb+H+bZv+/lnJpepieD/NPk0pw8im7JZzJQ+Qpucfe2+w0Koeo/PFfedxEaavE79n+8QB6Ftw42YP0T6bqY/CpJjiZRSnMzRVpfC9J+BeSGCt27RMQrSo1xVClFbJ5NdJ8+RGFtIIZTZDobYoNhnB1/Drvqk68VeffoiRhj+26GMe07sJUESIAESIAESIAEEglAVKz66IKUFk9XNZ0+5viv4h7fIAyjP1hbhTDF82daVWOCtGHMN5/fAYGx6bzH0JZiE64un5y4JDVGmrykgMXDJEACJEACBUAgEkQEGpSinl2PKf2txgUhRA0V+TwLvyYEpdk35FrgX8BVarSeEZUY87myopF8OttJ7FGkqpPSJAXxn7izUI9HouaKlJ5F3xA3feZ1XZvuxWNgmk/o8iHP4m/iKFToSdq+JFlFyvmbZpXtXSTwXjkG1KHmA5AW9asj0A6Kfbj9JIo02oTk6f0KbiPYfAA0TOGaoSsiUVrUTnT4t7rEAFDSPcf0K6jgIHFBJEACJEACJEACWSKAYoxSV4S0ePpYY+2pFtsLQ1F86PZFUA7192N3L9u4/LDJ0kWJxP74v8Ltxds+ZmzXfqXH3dpjOywbSYAESIAESKAICcBYGUqR/8hbTmuH/Wtv+TPoA7/mycSqOY0/qfaoIiTQBV/F9PBGQvck9a5JTSbrJ4s4RleZlBMTfrrKUsYuYrKiIuXsG+DdY5o4FMW2uTcifBGGOKDasepWW7twBJGaTpzALsL/nJagRwZOYNhMnILE53D7qYSREbKoqWrC+CapgJZwVoHuwO5ZPoTRYYPvM3y3pSfOwGfJ1w1pUUiRDeWGYNrkZ/AoCZAACZAACZAACTgS8PcPQ1REkvKpo41nT11GMKG1K0xbpG30/Jd3QZBEscQ9W069+Mh6CIlIr167cD+CG+VZCHFE4xt/2aoPgqTpl/64Ad0+OWH+t7TehxskQAIkQAIkUDwEIC6JtGiYnhhCsOyWr/aWCo1R9My9FwQxUUBy7o1CZpz1OdQJjA115t40MzIjlFhErT8RSgel0VWGDeymqLuoTUQN9IFV18Z7rNPqr3iubdYMBODBmgT1LUEVFRoxrLXnlLRASESwIhKipTyFDezmlrqoRsPu02J6qBMYHjKuGruwOcahJEbJxv6FvY3wRSESNu1XDTGxMp1flHJN5c8ymihdXdiUuDoSIAESIAESIIEcIVC65RRkw388vcWUFn3Z1bF89t77f7IA73kv7Vr0Wsl9t4oQxxMHG/SZl2w6iZYn7lkZGArpjdwgARIgARIggaIlMHRyJeSj4XPb0iCgdqz4ATor3Y1pdM5kF4c8aFj6ChVUFgZ864uIyTRpQZmcU/6NDTEHd7O3/K+mqYdaDqN94KPXZTtcxd1vfREt7nlfRqIrlFvU55yS2EXTdXN2F7bFIc0QGW7I1mxxTBsBezJILzLtH41ph4i0cZko3ZngayNzyc3xn5bZQlVGBKNIjXf4jFvOYAMJkAAJkAAJkAAJTJzAq49vgkh4dF/Cv1v04Xp9g1tXHf3HU5vvv3U+us159gP9EDKjEbuIxn+uPILox2fvX/Ps/e/BYxphkHofbpAACZAACZBAURHo2f04tCOR4JnGC37N6DxYtSiNvpnqAoXHu+x7/qNvO0W4IYkbJjWYJ96oHjlUs55ihe3NiA35gKhj9U+NR9WQH8UVQXjE4Oc7/MkGyVP81PTbweNLjGfl/bZzdjOeN+iKiMqDxgil0Wmlit8t4hsv7MaGU58iadcTpWPDYyWJIPXDcTsdPk6f6yKhx2WSAAmQAAmQAAlkkwBSniESIjM6yUWP769HH9Rp7O70y24Id3z9yc1oxBsyI8xflrxRNvMZMRTeb73w4bXgWHXuJCPzEAmQAAmQAAkUEoGeDx6CaoRM2HQWhW7oLJyFp+81XLtFil2ehV8frtngJB5CDvKtuU32ROClSM/ky0JApj8PnV6tH+nf+zdAQxCa3oINNdiPxv5//R1BjGJj79+MTsHGnvm1DcEQcrTQD+tLQs37w53njF4tWAsksqBMf3afTrlkhC8KjbG+FApbfnGY8tlGfBeAAmCNH0/89hCNDXtV5dqUX5EDkgAJkAAJkAAJkMAECGxYehCS4LJZ5U7nDvYHpLfLv3bW6H0qdpyRWuKKORWIctTbO9r7kU+NQ688vgnVHfV2bpAACZAACZBAMRAYODgTktHwJxvTWWzYfQad/R8vSKdz5voghxdxd5gJ3nAxFga19i81cH6Hd8kt6OZ955aRmGP4mf3ZRdAaaq1qm3n9wIF/yLWKgpyzZnRv+a116ajBCDMduG8gD916NB9bEMCJJ0dKglJFFPIX/KAN8lek8xwa4e2S5gJRhlEM0lhpEirTPL1wuo0lSp8zLipuut32b2Mjt0mABEiABEiABEhgughc9Qcf/cVS1Fes2m9TbBzFFWUONbKk9XwXn2dAuk6vX5zwjbxcApxfEM0IjXHR63uma1G8LgmQAAmQAAlMC4Gw51Pob761t6dzdURnoXOgbmc6nTPcRw2c2+5d8m3MB++uDXc7Wmwo15DZHXCVZng++Tq8Ftupytn3ljwJmHgkzIuJhWE2Pe3CsnlWk9hXBjsRtYjnWem7JO2NEKUJYRDyYOjyYWPc3fjcglQ1ePmQ0CSLvhhjNNAnCF/YHRvu0m+UMMSp1xKlB9r1Rm6QAAmQAAmQAAmQwDQScJ1zI0YRGuOymeUtTT45E8iJF8+2v/ynjZAKH7xtofezPn2GM5/ZhkZEKuqSo35Ibgz0DWM0uMP0dSc4A5q6cZcESIAESIAECo+AlOnSqarXtfnXEKDg+pErECAeVi91v/0lKTPCfETpv5Irc8u1ecTCwge5vmTo5LuB89vV0Fg2hz5T9/ybARMp0XqL3IA3BwgPnVplas/TXaQwi3qAyNVNhKBGgkFXOTSxMExGJvpCYOT/Z+893OO4znTPP2D37p3dZ+/uPLt37zMKtjnX2TP2jD22x+OxgmUlK1kSSYmSqJxGOVCSGSWRYBBzJkERYBBBJEIAQQJgBIYgKWYABAEQAhqN1MhAN7u7ugv7nj6N6urq6upGbgAvnnqgU9/56tQ5v4Zs6MUXhEp5/ehQF0i454AF/1ohmNPruAa5VR/hab1XRH4CRUSidI0wAr6uyKf1OpwlARIgARIgARIggVEl0NTQOf+NPZANcb3w4Jq3Z21Gb2h5i+8ZO0u0t+dnnodl9r1fdLb1acbIwZtPboLb6RNxFaGKfJwWEiABEiABEpigBBCyVbfgVihIEOssjtB37kv4RDYdtnhkbKZUZ3tn3hx5hLoF38EYlrF59UR5i/NymhbtKcVYRCS27poRpqT5vZgyjWVtSX4YU0pH7YQ4LxQwd/0pCx3MXVMEoVV1mfyQeOpOQv7CBT1taIf19wUExsmRBawqgSTxDMlEfoc2qziuxQUHidKBeE6P/ZzeHy2lBOEWk0QkvRvHJEACJEACJEACJDCWBMrO129fVYCOLQhlzN5Vmrb9JERCBDEi61luo62l9+m7V8BYlGPedVq6oQWMzKGurQzlcYzlQfguEiABEiABEhhHAn0XdkndqXnTXWiPYtyJ14X0WNuiaQ1LfpKw2h0Se+2rfyNPgTA8IZbqiukZTzSV7hGbKrDMvxUdw7tPrkKXHLRrsa/+bcB4S1fRZzIjGOF8okP0wmlK57d6PL2nt8DTkfa83pjIY3fdf0K/gopo2pZF9jhGTKbJEZQbzvIsiK4ytxcBeyY+liYf8qwrcpyXM5AgbOk4ASbRzVmmeyMEEWIghFN/V73QG8syA3iPqJ7YpcsBxCxR2slI4wnwE8AtkgAJkAAJkMDUJiCrL+prM37+3j6oi4ve3msN5nxJDdwgRbKXtDUozpIACZAACUxWAs5LXzUs/4UU6BDt5tjzVNeRJWj/AVWqYdnPYYdq57qa0L2YUeGtecs98gj4jlMgcm+yfl5xngu5qALFyl8aJTVV6S1Za/vs7zGL0otyNXzownn1b6ApQV9CyGLnwY8kSdXdFecbx99NcclqiqaFECFtQR8zicFTFRHZWJ4F3UzprIWPcOuxD+o4EGnROEbpsg3qqUR0VlX8oQEEIkubIrVZhiAiOlFfrDLaKSBOYh1XZZ6sdRnNjXYSIAESIAESIAESSCgCi97aDZ1w8Xv7erpd2NixvMu4feru5a1NMX4rlpUb92w5nlDH4WZIgARIgARIYJQIoBGzKBOn+sLWV1yIdkMhPmhKhsuxZ9bgul2ErTt2N/4ee8PSf3DsnuXYOxtHEOF5U/lLcSHoFLGL3tbySAyisuLCabbFP1IGOpKg0Unjun83fPT2Nf86IZKj9TnRPleXt+lSv1npbYThCd0Ms2FfqhTNUEFRmhEQCzd0JAGTMMeYN4Z/p2L6J6QDolhxfHftSVOGqk9xXz8uHOLKBFdRhAHOQ846T0hC3BQJkAAJkAAJkMCIEUCkHzqtnDp6FRcGCRL4hxYt78/eLsstdrU7n71vJQTGvLSwwi+RCPLTA0Ua7/sCHagNs3097srLDcWFFXlpZ8vO1StK+H+I6bzTd5TsWFPo8Sg6G4ckQAIkQAIkkBgEfMb/e2re9EeIS6qnx2x/Ktq4OC/uRfhi9/HlouTagABl5jz6NtW4eetXoheJOJqzzWM7jZhGa+fJPYtG21ALOw68GXlMhPDZlvy4buH3gmUY/Z7OvA9FexclkA7/6ffxIKTmzoMfJ2xSfOhQqgo9EFGL2HzIGGWEIEOIXa6KbFXxaC74UYFRaa/RLJArZb9jRCRCrsQ1pbJ6RT+g8AbQGhkMUL7SVXUIDiKIMY5CBKDnri/VA9evxjEJkAAJkAAJkMBUJgA5EbriyYJy7cJtgmiMqL7YWC/+1rzs4wyoi399NcXsz9ehT6+tuTtYpDE37G/ZPsWHoo5yCuvI6+VH1hVkmRT9rr/umHlHEnwulLJ5ZYgtRyRAAiRAAglCAJobau4h5VmKJNAPIR859s1OkO1Zb6O7eA06j6D7hrWbNgs5FKcTKZlT/qvz8HygcJZnGkj4+1rsX/xL3bybUU9PTslUaHSXDnn6Pf0RunRoNqFGaCZyXeTzIlJO9Xv1W0OiN0Qw1A/UGyF2wah1MVbaq/AsJEq9D8Zwk/UDMRu4MrRHDJ6T41Zkdg+IrmixjYbaJuGLqs/bInpDg0ygS4ux4fjkQMFTkAAJkAAJkAAJjBkBtFbRpEVtAOOYbSDmixBJuPCNPU/+cZkUGy38P3v3KwiDaBOj92mydbz1xGbYp9+2GL2qv1xblLP3DAo5zrhdqIir5mcrXr/mjwYxsvbj6gUHNCMHJEACJEACJJA4BFp3PgqhSV7NW+9tTXls4khwauOa38mdt+6aGU8spd/pgD9akyQO//HaCWJQgUKEmem+oLmhlY9AVLJOM6PoIizIhtYsE2uAgEMcAcKXIatXFgB0lmcjcFE7kdAJB3RIEdBYlgll0lguoL/fYz/vriv22s9jWZSynAyVFTUEEQMk0eOYwTOqPnFkCIzhX8gWl4GL+K5ljvvcPfrIz/AneEcCJEACJEACJEACMQiUHAkLX5QaI4IYYzw25tP1NQ7rd2pFGh3NoV87Ub/xjRkbISS+/vgGg2qKtOsPn9+BqW0rDmsrI9ARlhceXCMLP2p2DkiABEiABEggUQj4FGR6OvY9g9xh6Ejyat01QwSwxZHhOL6nQB53V8GCukWBnc+/FQm/WqE80405L6XhgJHyiKnz5DZ25s0BijCtVVVaU2fAiCnD2QMxjTdpwpFhNvFvfZAKy7OhjEEY1O9WNpXGz79p/CEiY/GI6U8U8qbd10+IpfDvyCDz9PUbmBBjGcYpClcGvhAADCw60VUVUm1ZOoyIYNTsiBdFCQVIuxPijNwkCZAACZAACZBAAhIwFRhhTMCtWmyps71v9n1fQBs8uD+UFIPQxE9eSYERbV9Mk76hIr779DZENtZea8HiiHVEnCT8S4om2PEtyHCKBEiABEhgshKAWCej2qTGiO+2xT9sy/4PdLgQ9ffMvjwNpyOzR80cR96GXXV8/R4iErG0v6ehLfM1ZPWKPX/29+jeEq2+IoRTtDWZEC1pRh5Z+IoQf4CrZfsDmhnyLCzogBP5cTv2Po2p+FPRtTUTZ4DUb+flDCGCtVVqu0JHEld1EYxoEm3UCVUVQjS0R805NFAVTHntoV8RQ1OTcSTkWYkocDooq7iV/xKhgbirugC3gcDFdsPppRRpKt4aPHlLAiRAAiRAAiRAApEEEj9FOnLPkZZlH6VDGJz7aqq+SGNGyikYX3x4LfrFRD4iLbZaB3x2bTyGB+e+looxlormTDsJkAAJkAAJJBSBjqw3oCNBekLDaH3LYPuKXyJQMLLdcOvuJyHrQboZ+1OgdTW22nl4nvZqb/Nlmd8NO7pF953ZZpCMek9vxhS0Mu2RKT1QFXysAOKuPQ4O3ceXYtyy7X7TsNXW1OmYnRANoy0+U9n+WIhjPfaQm0igFiF5nvqSkBEaa1BVO6I3yrHMrVY6E6j+T+Qmo1r8Xq/jWtTZKBOuihwgkkUs0QMIYwR/aoGLou+2WYNsd42ofom8+yir0kwCJEACJEACJEACVgQQ2mcIYsStabyf1SrjOoeAQwiDCD5ECKK2Ea9HQaYz7GdPVmtG0wG6vSTN2X8w/Rs4IwwSwZCmbjSSAAmQAAmQQGIR8Htsi3+Ehi/arpAUiQYfDct+DnFJXs2b7uwtWSuDl5A4iUbDLdv+rPmP5cAW6GUcqXkiFK1xwx1yt/YV/9xVuBAqB8IdEYpZN/+WhmX/aJrxOpY7T5x3dRevBihQ6i3diAEKWqIFsMn2/N6GpJ/iMpmaaKZg3cWyLJ8zdFJE6KFzNKQwLQsYx4KYBgsyf9HmWH9Kf5cNdgTs6Y0TZqyq7qp87H+w6qi7/hSeCjbEURX0eRFwwKEyX0/SwEFWZdRqWhpmeUsCJEACJEACJEACMQlATkQcI3RFXBhMLHURac5SSMzaVao/aV7aOQiGqLKoN5qOl85Jn/f6rqfuXg7/I+Htp039pdEeaG9t4cApEiABEiABEhhVAgg0QlPmvnM7jW9BH96awrb0l6WmJ7U7qI7yFh0ujP5jcO/3CGVs1a+jvEpFy2NZNlDuNvh94fc8dcVRHpmSZlF0UYQm4kLMJwL8TCkg5RwOXUc+N52dGEa/V+mxQxv09zk8tlKhjKHuoicUWQfZWVYRhGyunchjPydktPJskEGeL5Q0b9MFYanAs1GTWbTHE3OArivi+PjXdjAVVtFiHk9BnpWH8rZeFRzKsizSn5E9DR9DF6HEZMJdkQAJkAAJkAAJkMBoECg8cBHCIFo/owG0fn00jIb9+MHgb1b6KcNYto2G82fvfGWYinaLjjMz70hCMjXDHaMhop0ESIAESGCkCKDWYj9a5Q7+Cwqk8+JekYa84DtSlQrU6xv8QiPwhGpb8uOG5f9kuRKCtQ4hIbpx/e2IzevIeQulGi39J+0kclp7SzcjGBWJruLT131BKJMBn1CMXVX5upngsO98Cj7uxvW39fuUyNmhWXyuDkhV7utHETeICwPcwji01ayfQiCip+EMOhYJQSxwQVsLDhCFqDuU1NAwFSrRqSqIfdUeDD5VXWhgaL2BBJzFodD/OqyAAPKmmy9BEoy2W/yc4Pj4pIIO4o8OIv1ZWMySo1Hc0n39OByUqfovXTSStJMACZAACZAACUwpAhdKr9dfN/aYls2jG+OIM3z67hVQF/G9Tdd+2gIglExNk0RKdfxBjxZrcooESIAESIAEohGAZNR9clW0WYhRKEaH3q/QYUJKS7g3lEYIC4gEM9UWwn1H/k4NJLdC20Q/l3HZwMgfafRWVH3Gxj1LfoQam/oXooSmVrsSlS2dl75SnW0QY/Fj4NgtCl1CyxXdgUfoCz1WpFJn+A6lUWkfdG1A601BFkOkIl6EKosoIImTIskXFQhdV0XRRVzu2pP9uj8o45jCjgRqndrpbSl3VxfCKIRQNIjR+Vu/PXFnDUdA3vR1oRZChvXqAjgN+xck0Vl+oN+TqniQHy0Y1hQZsqSBXcqPkHYNi/CWBEiABEiABEiABEjgyTuX4jL8RhaJ5cyJKqiLuPLTz0fOmlqQiw3/GbcnrVmUgw7UGCP0MU5x0nRBGkmABEiABEjAgkDLjkcalvwEIoDBBy2hW3Y8LEMTte+I/es+vszgOY63yGNFanbXsSTIm3ULbu27sGscN5Pgr4YO3LprJj5KVJ507HumLfP1hqU/k58sKlIaKuP1nU3Wp8BrPwD21b+JLHQ55IO764qFkBX9MnRaGfKL8GBAARNCIhRCoxCt+oJJvujt0vCN/i2y2KBIgp4CrUlEgnMgURqsggeHYFj3n4afDclHBIJe3u/ra9NwCf226pD8NEVUZNMFUIUMKy0jKEprb+SABEiABEiABEiABCY6AeiKz/15JaQ/VGi0PguKNMJt3uup1m7aLPrIoJsMHtm14RiMFRcb3nxyE24RABm/RKmtxgEJkAAJkAAJxCQAdQ7yEboG6z07ct6RmlLz5rugRKE3imPfbOQgw9hVuAieKFIHDUH/yLiMRV+SBd/FrpDSC+3LvvJXU0EIskaNGMXOvA+NGlp/f0fOuwCFKouqFo+n+tAfHMIs7C3JD6NRsn5lBPghuhVSJARJdPNpS38Jfbf7/R69z3DG0WIXpR6lfRdRgiPx5bGfx5oe2+loi/m76mXdRchiIZ+B5F9XdYFsmhyamoCj0EcfsXl83CgvKWI4B74Q5AkLoCHg0xCUCBfZg1txGD4d1dtaKZ/SPkGojtGCnwdexX+SAAmQAAmQAAmQwNQlsO7Tr6H7IUDRAkFB1gX4zLprWVNDp4WbNgXdcu5rqXjkrSc2K16/tKNdder6IzNuWwI7hMo4l9LW5IAESIAESIAEYhDwKSi7h4bRmr4U7Ca86tdIBdU/C60JShSSpmFE/xfU4us796XeYVzGEDoc+1/AxuSF8oDRupOMy/bG+KUQfKRgiGqT+rYdwj7vJsjFWk6rtjFP/SmEsGK2cf0fxqwuJZKONQHKeoBcaX2GsrbtwQ7Q6Vi0MtFVWYxcARnBcjPo/xKaFcm/B2H31IUlUIccJsjI2ywyvlFb0nS/CF90lmcJh85azUFWPxBMytLDdFf8GMFfMDFrk+T3QpDEzxLeZVHIUXsLByRAAiRAAiRAAiQwlQmcOVkNxe+jl7703PCacig7Vz/z9iT4ZO+O+rdyw4MH938D/+l/WFJ52Vh2vuZq87vPbMUs5MrSo4Y/FhuW4S0JkAAJkAAJDI6At+kSVCl0B8ZjkBlti39oWzQN8Uv6VdDJom7htIBCJcyQFuvm3QxVCo1C9G7jNfbaz7UkPyQ1RshlCL2LDOEbr72N8XvRqFdmNzdvvVd1tcu3dx9fDjjR4vfQKxk9uOHQsPwXY5PKijYuQraK79K6FQ+dpHID70J5wJgryF4kqC7od+qTf3tkVB7C/GKukLAOMubQVZ6tj/JF+xVtw8G+NuXGZtAif7wsXQCsPanqmk27q/KBRXucAxIgARIgARIgARIggSEQQLTh2kU5UPw+fecrn+IzrHA8v2z2vV9gFgqkof20wVO7dTR3P3X3cjyyfVWBZtQP8JZdG4/BAQok06X1ZDgmARIgARIYPgGoi23pr2Cd3jNbITR1n/zCsGbfuZ2w955ar9mdl/ZJSSpxuugi0qxx3b9jV7gQjwepTdvtlBqg/B3ymgHBvuZfZTxnx4E3kUVuAcHvdDRv/hMesX3+A9ELeJS/tNJ88WiMw98PMvqFPoZygrG+tNDKQIvtUGFSf59jEuT5oqal4HD9uMAQaKjtrjmi71ODKM2AkGisfgAssr4iertoKivqVcJZi3yOhZbzJEACJEACJEACJEAC5gQ0jfGFB9ckry5EkGFVeeOxvMufv7cPMiCuJ+5caqs1tp82X6u/H0IlHnnt8Q3RQiLlg1hfpkuXX9Al70RblHYSIAESIAESiJOA3yubd6DWIlQmb/Nlw3MtyQ/Wzb9V0xbkLHo3wxmNhg3O43mr+hBdCTENG8OFFjZQ28ZzP+P0buiKjWv/DQTQyQXhnR257zeuvz3GXrwu2QUGye/Oi3tjOA9vWmbjQp6yvDKcl8UlUpuH9+Vzd+NFkMjiWQYlB+WuhL/fPFElnnUS0Ue5AZg4ndAGK0RDbYiNaOkS2qriQk467N52YyY1Yh1lHUsx21IGWVLpsmGstNeEHueIBEiABEiABEiABEhgSASgMabvKJENX6SoiO+vP75BJkenJZvVpTF7UVHuJfn4lW/qzObDbFuW5cP507dH9zf/sFfyhgRIgARIYMoQaN5yD1QpQ1AiyqkhIbo15XEDBtfVHDijBYzBPka3Xhf2KbaqS9sMvtrrQvOagT7IN7elv4wWHmO0q4R5DTp6tGz7Mz4g22d/35H7ATLfY8tlqk/r74P+L6N3lDgExqC6KJJzRyIPFxGJUMN87p6Yh4L4huqjKE0J/0CwnxrzkQnkEMyDFmUVs1BzMnLnMpMazFWPM3IWsaAIYgyQOYofMAzQwD3SjRYSIAESIAESIAESIIEhEPB4lCvn6nP3nc3PPH/xdG1e2lkIgO/P3h6ZOm26eGdb3+z7RD71xqQ8UweDsb21V6qReNAwxVsSIAESIAESGCaBlu0PQJKSnVy0pUSvYRGpuE+zyAHcYG/L/g+DfbRvPQ2nHWnPy24m2EDd/FtaUx4TgZRel/7ViLcUrZMDXZLrFn5vtKPy9K9OlLFyQ4akCkoomHk1N56NyY8b/n3nU+PxH4KPZYq0Ji1mohYiLndtIKV3CK/RPQIdTKhhcYSzQlpEmB8C9pA+LKpWqsZKOLpVJ9jQ3xeUB4VCWHMk2u7ddcXCIUqbeEQ8SvVVBEOWZcb5QxXtXbSTAAmQAAmQAAmQAAmYEpClFGfcnlRT2WzqEGlMmrNfCoYQGK3zo7Vnp98mUrCb7V2ahQMSIAESIAESGBECoj00ghKPfK5fDYUNEQ1okO/g4KrKh3Nv6Wa98yiPVa1nNALz0JQENQNluxnsBGMII4YNQAV17JmFtF+0MjFMTY5bBGdapoGrnQc/Ahxc9tW/jbNinvPibmi2/X5d8uyIwrJs8hIQGAPSIqLsRKBda3mcL0c4q7f5kqu6COoZgg+99m+0WFwcPJBwvV/fvcV0WVd1YbAdzOTKj5aFKF3l4HkVPbXxb4o30BE+EkKgo7RMlI6a/oxm0+gXg0VclfmTSYONpEELCZAACZAACZAACYwLgWtX7K88un7XhmNxvr34cIVUF5++ewUGqMF46UyMLGkELlJgjBMv3UiABEiABAZLAFF/CPmDUqepOqLHNMIUAy1gDKt1Hp6LKaSUGuyjdyvf2LzpToQjas1wVXcXetOgw7WU0Tq+fi8yF1j2Ohm9jY3Xyjh749rfQ/7Vd7SRVQT1W0J3HinDtqbO6Nc1Dtb7jOVY9FIpz4I8FXGFq4vwuZoL53j2BrlMRDxGrOmuL5XZvlLVRCcg7ScnclmpwlkKtpEPTRCLqnrt52WSuCyfCLExWs640lkvSJaho7RJorQ8sOrpxf9K6PtQTxAQ3CYJkAAJkAAJkAAJTAwCN1xexeuPZ689Xa7nH1gFXXH1ggOd7X1L56RLsXHDkjxXb9SYgT2bj8PtrSfGMlwkntPQhwRIgARIYJIQaMt+XUS7rfyVFOVk/Fswpkt3RGgLyDtGcGO/qujMoziUnawbN9yhhaUZXtZ7egu2hM237n7CMDVpb5EEvfdpoawuuLXvfAqOCb3XtmiabfGPoD3qT+0sz6xbOE3A2floNIB6/9Eee9sqI8RAg7qYjUqApnUCI/fmbbmC1VBoUcSpyh9Ivxf9R2TvYzQ0QZ+X/n4VxRWFG0RLcWv8UtEDBQUGyzIRwmecm6D3qk91tffr27gMHMQti0zWHBkwGP+JpttgFWw5bZzkPQmQAAmQAAmQAAmQQAIRWDU/G1IhmlD3dAd/jy0urJCS48uPrDt7sjpyr3U1rc/cI2Id89LORc7SQgIkQAIkQAIjQMCnSM0KOci9pRvRkRmXIQtSdbY1bxIRg566eDuaDXdjfk9D0k9xGTpZG5b1Np23ff59bCyyYqTBcxLdqp15c4TGOO8mDIAI+eAochh5QE99iW3Jj+AGkdbf2xTpMMYWWetPJzNqAmMWpEVn+QE3SiDG8RWMx6vMi4xchdg4UDAwR6SH+73B8o/IFG4pU3VJ0P4eu1QjJ0cqvc/Z7r5+QrTICYR04g8EhtxwgJGNbwwFVzXeQm4NZFJPDiDauTggARIgARIgARIggUlG4MzJahmvWFJ0VX80iI1SeMTsso/Sa6+1aLNV5Y0vPrQGdoQvIk5Ss3NAAiRAAiRAAiNMwKeg87LUrIQetf42yBQIaMSFtheo0CgbNLdlvDLC742+HNI5sZN43oj6gfCEziZit6bMV2/JWq0WZd+FXdHOrTgqEZsKPvYV/6xlwUdzHgO7iGMM5UpniBxnXIHMaC12Eam4iKMzbWosd4gygFDSDAKatnnZNxkFA9HiRBhVn5QchfJWniWqNdaeQIK5FOISgYm28yEPkOId1BWrC0TPmqt54rYs04BI6WmQdtN4TrxdKrciUdrTO+TN8EESIAESIAESIAESIIHRI4AM6JceXislRNO3IHxROsDn3We2fvbOV+/N3o4xLtR4bGsJ/ppXerRSVVXTFWgkARIgARIggWESQLPmlh0PQ4wyuRZ8p/PwPIv6bMN8deTjXQULsA3RKjqOr9bU6XCGphSH72RxUVyNa/9NflLoz2KhCCEEtHnTH+FpW/xDT93JcT8/SiwimFAEFiJqseIA5D50IfG5gvndiMSTHUkQXmhaPRKReFDJ0NjF9CDe5stiVhRyHEgYD/zi5O9zCJlxIMAPPnivQX8zXTDRjcAhe0BfPwJ0wd2qajCM86oxyBN/LxBnrznSH+X3yWAmtVlAbKKj4P5IgARIgARIgARIYAoQ2LAkF1Lh7Pu+6GqPWjrb5fRkppxCrrTUFfF9+h+WJH24v6mhUxI6deQqjHNfTZ0CwHhEEiABEiCBUSDgUxAYBuEORRcdaS8guxb9oL12YwkOJB2jRYhj33P21b9BxcWWnX9py/4PpTUs/H4UNmdcsvPgx9DE3FCZ4vjCQeDcfWJFHL6TwkX1OXbPwpHRLxvVFzFAHxz0K4l2NsiPrSmPw61uwXedl9OiuSWCXVYChAgmdLDrJyJ1MF9fG6bQMNq424FIRdRdDNZUhM7W8A3aH4c8FY9QYhWXPlc6NDsBRx77edDwNJxBpGbY9lUV3W3ElCHr3O8VZScBMNq/0YFMasFQuRG2IG9IgARIgARIgARIgATGm8DFM7VSMzyWdznmXnyK70Lp9ZMF5UW5l1qbBv743t/f1+NG8Uask5laGnMROpAACZAACZCAgQBit5AkKySmiKth2T92HHgTzaMNj4zvbd/ZZGy1q+izeLYBURTObRmvxuM8CXwQtFY3/xbR2gY9fVuv2lf+EsfHdysdWFUgFMtPv7t4dcJCCGbpigxfUU4wUkj0d9kGJLXQIaCGoeqgsKNG6EATIoRuwmJanTL05EQeocgkDihCPc3CESGuYhYXqk3qT6n02IUdrW3MGt/AUyRQmy2oX4RjEiABEiABEiABEiCBMSaAX9BQQRHC4GfvxpXkFW17axbmYJEPX9jBFOloiGgnARIgARKIQkDtyP1AKkvoBoKgRBG+eHge0oplB5Dg1LybWrY/gLYgURYZFbOh8bH+HUJDE4F5fzSGZumdBsauqnw4d+S+P2CY/P8U3X4Heh8jdhFtXEAAH6hQ2KJ/dR1LglvrrhnxUI2+zCjOQDFFqjsUMK2uoCHWzufuwSyKKGqbgCAmo/XwiGYUA0TxVeTA2aQXTJjfRL3xtorG3Kg5aXIAJJJX5LoqRTFGhCwikVrvg4hHYQdDX6AjvN8r/r6g+vQ+HJMACZAACZAACZAACSQagfoax8I39rQ1dw95Y+dKaqAuzrwjCU2lh7wIHyQBEiABEpiaBGSusdDfct6NUFpUxLz1nd3esu3PcJAXohnHqNaiqjSu+V1r6gykrJp8NMoN5GhjS/EkPsuuyuj2YrLO1DCpnh5UYhSf4MLvITjN4tDQ3Mbo87XYhOWUrBOIOo3e5kvQwYSG1mXTPyHlRBmAJ8IUpSDpuKb3kWPZQtqiQGXkIwluQQCnVmvR0yT4GOBg/ziv6INTjl4tPTKw010flv+CDPGg9lhdBM4yaRodnRL87NweCZAACZAACZAACZDAcAigNqMszPjVtvEvzD6cg/BZEiABEiCBsSfgrikUotP8W1BW0frt6I4BrU9qjM1b7lFdHdb+w5/tPbMVr2vd+Wi0pdy1x8V+FtxqXYlRdbY3LP8nBO+ZC5XRVp98drQCz3wt8Ane3FuybuKeT+lugm7mrsrHEYIlGcsyNVUNRk+gaTL6mCgdtc7LaEWdZcgC1s6OOE8sFS0XWHObKAMZsgjxUEYbKo5rOB1SofX7R+caaMiuigOyhQ00RoFIJEo36N0QPAxusIurPNvbbhYGqX+AYxIgARIgARIgARIggQlOYHNSPsIX3316G8ozWhzF2eu+4fJaOHCKBEiABEhgyhFQFfsX/wLFCVJenGd3lmfaPvt7PNK89b5RTZlEkFXD0p/VzbsZwqbF3jq+fk8qZl2Fi0z3g2C85s1/gk/fuS8t1pk6U6haGSB2E6I6tTxoaFAITDVtypyIZERq8wEIXxAVRcZ0tSiuiNbSoUBEv9cZyH2GXeT/RhPDVWRbZ8EhEc84+D0FJMFAXcqWMvk0etmAAIRWbTF/b5M8sl5T9dhKBShEroYnSoOnt/mK0l41YX4wtHNyQAIkQAIkQAIkQAIkMEgCV87VQ12ccduS6vJG60dXLzjw6qPrKy+G/Xna+hHOkgAJkAAJTG4Czot7A1LhvZrQFM95UZ/N9un38WBvydp4/IfmI3WwtoxXYj2uIkUaEZjYDzKmu48v9XfVy0cQmtV3PhVFGjHVeeiTWOtMoXlorXXzbwUWJE0jxg85sIjwRP9oay03oQB57OeEdCZrKio3ZD6vCGT1B/+WqvWCCWsSHX4GHByLeFuuhJsn6h2ERHGc8O7PyBDXzoOQRWTHu67mhZTYwJxsdoNn3bUn0QFHQSgjyy1q1DggARIgARIgARIggSlAwHPD+/rjGyAwpqw7an3cs8XBIo2o92jtyVkSIAESIIGpQ0A2/nBXFw72yL2nt0Cealj+i0Epk/G/BXFWIk5y4TRD2ma0FZArHdYCe/6ttsU/RLFBbBIXetaM0j6j7Sfx7eh6I1VixIgGKN3svDCRClT6+xwQxKCVSdSijUtFtpDI0NqmX5XGgS4wGabFA9H6RPhXF6LeYOJ/XtF2iI427pojMgEcQZsiGjNKf2eRCo1alCLOs8ewGqIZAzBz8T3Ym3sgBtLgyVsSIAESIAESIAESIIFJSSB1/RGoi2/O3OT1BHr8RTkkizRGAUMzCZAACUxpAgjcgrKELipDoaD66hZNw+PWLYmHsnLgmY6sN7B45+H5UVdQbhinVB8aBzv2v2ALbEyIZgu+07b/Ra/9nNGT9wECSH1FLU2AaljyE2S+TzgqsvMIlEa5c3TKluIYImy1syCcT4hmEBKhwqH7ibsHWcOQr93XjwhJrTIPt5rzRByIU4v0cGQ338DA21oe7RRe+zfCAfnOEV9SrfW5OiRSd+2JiY4l4og0kAAJkAAJkAAJkAAJRCXQ3eWcddcyCIxl54O5YNFcNyblwe3dZ7YaijSePVmtRvkzd7SlaCcBEiABEpg0BJA1DHGpu3j10E4kU4/7zmwf2uMWT0EkQQKvbcmP9WXiDP5tma+3JD9oGpkW8FQDOZ7BSDbDs7zVE4DapqUV6+2JP5YtpPUCsgxKFDKaLgAPuqJMoBZCnO6CjDY5mv4Es8VRR7HiQNR8cNWHCE9UWTTNfQZDMYUvZEZHSveJ/6PAHZIACZAACZAACZDA1CaAlivlF2ynjl7FhcFgO7Ds2nAMsuHc11KtKV75pg5uKNJYc7VZ73muRCRNL/kgTW/kmARIgARIYMoQUJHgjNKFQl8a0ldbxqvQJ7uOfD6kp60eat01EytbdLUWsZfzb2lI+mlksqfVupNxDg2ykR6OWprdJ1eJCoQ+q4yGBAeAdjxexzU0bYlzn4i4g2CIbi/6pGD8bEgVUSvFKVZTVciMUBTd14+6r59AT5Mh/9ib7s3bVumqLtCrl7iNqvWZLhG/EWcZCNqUDyHFG6ni8u2QWE1XEvnRImLzYOSsmCpL99hOR07RQgIkQAIkQAIkQAIkkPgEICdCVzxZUK5duB2UxghpEQrhsTyr3ppakUYkU+uZaEnTp0+YZMroPTkmARIgARKYlASgtEDEa9n5lyGfrqtggZABR7rPC1QgLGtf9WuLsLrWlMfFq0s3D3nzk+FBVUEfHNnRGzTkZVvyI8R2QkybcAdEB2SpkiFLV2mv0eooWh8Emip0M6U7TCR3B3qdoJuJQYizXmqIsxD3wqVFg8xo8WM8hDcGWmYXOi9n+Fxd+se1Li3Ig9bbQ2PVJwowRrBCkLDAXpaJIpYhZ45IgARIgARIgARIgAQmDgHkNWvSojaImeysP98bMzZBYCw/b/UfEckrC+Dz5pPGIo2bk/JhT/pwf87e04vf2/fBc8kYZ6aWuno9+ldwTAIkQAIkMFkJyPjD4fT1QANiiFrOS1+NLKLmzXeJZS/vj7YsiunBwb76txM6Wi/a6eK1+z2O3bPAAYnkHTnv9J7eDLm1Lf1l3Arj4h+5yrPiXSoR/FQFKbph0lzlwej576EdyzbQxug7VOOsCZRYNGtoEnp4JEYo+6nfduQY8uNIvCe0hiylKBozhVe58djPi7eXZaqK+e9yqDwAB/xgQL9FiUUELiqOSqE6lqWPVrBlaNcckQAJkAAJkAAJkAAJjBaBkiNh4YtSY0QQY/zvW/x+GkTCr/eFKpkbnj11tHL6bYtxVVxs0E/JpGk8O/OOpOl/WPLyI+sgMCKHGpZn7lmRn35e78wxCZAACZDAJCSguGQH4e4TK1Rn25AOqIo2zfNuQqOQIT1u/pDzUhrWbN78J/NpYVWbN90JnwkmoEU/z9BmOvM+BISW5IcMXbZVV3vHgbcxhavv3JdDW3xcnkLUpVTnUC8RmbzBcdUhpSfsdxjD3oKZv+XZxtKCikcu4q7Kjya4GZYawi0yo+U+rb+PsHwnEqJFu2d9nUmxeYi0AW6epkvRzoL2N4atYim0iYnmTzsJkAAJkAAJkAAJkEDiEzAVGGGMf+eyiOIrf1nX3tob+RQqLsoWMNtWHNbPaknTkBO3rjisJWVjkbTtJ59/YBXs21eN8F/b9RvgmARIgARIYNwJQMORGpT4vuDW1tQZzstpg2p4AXEDzzYs/6eRPIvfa//iX7BsZ94co1408BoUG4RD89Z7BwxT8Z+QiQDBvvJX/X6TWLXeknUC0aa7UNJwYtHROj6jEqO3vcZZIWQ0XAhHRApwtLO4a4rgo0RkhQvtMZAUjMej/ThFWzNOe8zwRbn/EQ9iDHaOLktHFUr9VmUzaLzUH/2vBkr7NRCDrogiCYOqeKl/EcckQAIkQAIkQAIkQAKJQ2D4KdI4S8q6o9ADEYJ47YpdOxoyZpD4/OQfRYPpVx/boEmI0iF5dSHsT9y59EJprfaINrDVtj97/0o4WJd21Pw5IAESIAESmKAEvM2X0UW6YdnPIUbJy/b599syX4PsEE/5u97TW/AUguVG8PhoZSujIrFy49rfmzSkUG7YV/wSs576UyP43gm3FKosAoLz0r7InSPdtW7ezdBppSKHLOPu48sj3RLW4mn4RopyIqxO9XlbK9HDRVpQnBPxmZE7h0oGB9MfiYDgliEKDPYNLUw38m1hFrmxeL6HPTYSN/iXBe+Fwmn4t9XbdAl2F9r9oB80v0iABEiABEiABEiABKYAAeh+hiBG3BrEwHgwZO8qnXF7EiTBt2dt/nJt0cp52a8/vgG38rp4pla/CHRI5ERjqvDARb1dP64qa0JWNZKm9UaOSYAESIAEJieBQLW6toxXZMY0ZCtc6C7deXguuvFaHLll+wMBoa/EwmcIU1CQEL5Yt+C7cictyQ9CSNHW6S5eDbtjz1OaZWoOmrfcAw6Rapunrrhu4fdQhlFxXJNkRDr5gu9E6yyciPRUFV2ehURWnh3sY+L3ikKLgVhEIanV/aexHYnigh0qomk7FUQ2+pwmsuSInF28N75rRF6nX0TrHG1IlBZdYCrzsStvc9REaf06HJMACZAACZAACZAACUwCApATEccIXREXBkNQFyWE5obOrcsPvT97OxKc33l6y441hZ+8kgIVcf3iXD0lxeuHCCnsn4XZ9T5y/M5TW+DmaGY/wUg2tJAACZDAJCXgdaH+YWvq9Lr5t0pxD98b198OTc/fEwqSl4f3d9VjFmFyo8RC6ah1pD2vbcOR9gIi8aCnoXcJErpHturjKB1hVJdF+jPgGPQ0pfUqWkjXLZymj+VDkCo8Ow68Oar7GeHFIZEFekOju7GWto86ilDMoCJKQQ9J4voEcPf147Djx2aEdxJruTjVRbjFWils3ufuQVo3OrCEWSNugp2jkSgdrqAiXFNubJTiNiM2QgMJkAAJkAAJkAAJkMDkJHC2uAby4EsPr3X2uvUn3L3xOOxIjjat2aj33LAkF56Hsy7ojRyTAAmQAAlMBQJ+p6P31HrZyjko8c2/pWXHI33nU1HUThJA1i2mugoXjSoQZMsigjG4hwXflb1dOr5+b1RfOiEWb9xwB7BAUdR2i4Ri+0okj9+MwD/NiAE6p8Czcf1temPij1WPU/YxCfRKVkIbVlwiNbgsPSCgZaBvcr9yA7MI0YQFOdQhzzEZSR0vju8Zg9qO0mMXa6IftDvGn3pl5+jIhGghxiIKtDIfAY2DejWdSYAESIAESIAESIAESEAj8PFLOyEPnjlZrVkwqK1skZnUm5fm6+2mY4Q4YoXj+WXarKqqyL9uY0yjRoQDEiABEpjsBJBmCwlRdl2RKp9t0TQEE6I0YuPafxMC10Ae7qiSQD8a1GOUG8D3roIFUlMa1Zcm+OIdue8LFEWfyX2qnl4pOfaWbojcecOSnyBLesJV5ENUHhqFQyVz157sR3Vp3RfO67GdDsp6ZVnI5YfFeRm1FtP7FY/OcdSH8TV5yRAy6SC/EKIpFMLqIsPZjcv4vc4AJZRUDZtSfTIKFCUZw+y8IQESIAESIAESIAESGH0CyFAuv2A7dfQqLgyGnLA8+juN8QZXr8dQYtHnU99/djs0Q1ynjsbIuMHqc17YAc+Kiw3am1DpEZZFb+3WLByQAAmQAAlMEQKo7IdmLiL9dqAdDAYIcRy746tK39ntDcv+UW4AfV6cF/H/R2Gi09htJgHehCRxoGhY+jOEm/b7lNaUx3CLbGizramormlf8c9mU4luU3oapIooIhUjvhDdh3qMQZmxPNtVkY2x0l4T4TiKBm9bZXADoUqMGULqDF0o0pihdNbG3ARqRYa5QTkMNNH2tpRbPysKVAbebugcjVthL89Cdrn1CpwlARIgARIgARIgARIYQQKQE6Erniwo1y7cTlyN0UBmf3Ix5MGZgV4w9voOw6zhtqfbJTtQd7b3yakmWwcsM+9Iqr/ugGXSYDEcnLckQAIkQAJWBPxepN+iwYrswII0aivnUZhDzb2uI0u0ZjSI2XPXHBmF9yTckojW6zqWZNhWa+oMiIqtu5+UHaUd+54zVVwRwAY3x75nDI9PlFtNwUOraNM9ozInMqM1lQ/FGE3dRs+I6MQBORH1IbVL0xgz4wlflFUTEbGJUExtq0p3U+BcGdaJ0oHoTdFrJjJRGoqlvlKltjIHJEACJEACJEACJEACo0cAPVY0aVEbwDh6bxyzlW21DtRdhMCYuv4Ivre1hH53Nd3Dro3H4Lb4vX1yFmlJc19LhWXJB2m4nr57BcbP3rfy8/f2lZ2bDHxMIdBIAiRAAiQQjYDq7uo7s13Ezo3HFxpbdOS8o3WiQfCedbfr8djjSL4TdS8bkn4KkRBCIoIVtaVF0cUVKLooun6jo3e/3zRKTZVFLMdedtP2GTnwuToQdOe+fhQxh66KA9gbgvRgjPSUFllmEAJaZLMh7RH8VLhrirCav2/Mfyz9XqExovuM2eVGjrPfq+3TZKD6pANa8+CMwKL3QRlSoRwiwxq/jUX/CrTYhqTJztHRGXGGBEiABEiABEiABMaKAPo4a7qiNkAQ41i9f7Teg9qJsiTjqnnZl87UQRs8kmtVjQdRi1JCrLwczI8+mP4NnpLXhy/sWL3gALpUy27UMK6Ym+W5Yfmb82idjOuSAAmQAAlMXQJosOvYPUvKa3Xzb2nLfM3fEyrrMcm4oLRg3cLv4bBQU/URbt7WctvnP4C9ecvdJvUwlRtoiIPZjpx3EweIFpEINSxwBSL9yjJdV3OiNgdXVZRhFM5lWWp0HVKc0VrKG00K6HKOeFrsUGh94sqC4BmW8mx4O5qvtFehCYvkgI42UkvELRCFfNFQ+2quMLaEymKHZgdG7qpDoqsL3nt5PztHD1DhP0mABEiABEiABEhgfAiYCowwjs9uRu6tOXtPQwZ8/s+re7pcSG1+8s6lWmhi5Eu8HuWjF7+E/8I39shZR3P3U3cvlyucCqeBMpWfvCy6yXz88k5F8UWuRgsJkAAJkECCE4DE0XdhV0f+R617ZrXuearj0Cd9F/cqHWNaxc4UEcLzOo8scaQ9j54yXceXIz7N1A3FIZu33AMNTVyLpjkv7jV1m6hGVXFV5KCpDSI2NTUVieGAo50IqpR99W/F8RdOg5yIniOIeAwoVwcb1/077Gi9rdcktQfHZeCuK5Z6Wvj3oMYIdc5jKzXdmCqjBBHLdzVX9bpMfRLIiKBE6y/VF0zrLstEGUkRz1l/ynU1L4gFzaMH2rVjGX9fs7CXpftcXaarAg4c8KH7u+qhMaIDtakbjSRAAiRAAiRAAiRAAmNDYFKmSDc3dM66axk0wOLDFRLjus++xm3yyoJIqghEXPZxBmZfeXS9Vn3x03e+guWlh9e2t5okVrucng+eS4bD7o1jXfIocv+0kAAJkAAJDIoARImW5IcC18MtOx4JXH9p2fkolEbIFINaamSd/b1N2ENLymOtqdNRabB11xOQGaNpjHg1UlPtq36NOEZE9I3sTsZxNa/9nH3lr6R2irKTMkta3tpX/lJp1f0BVHF15n1YN+9mOav/Hoh47BnHU+hfHRG7KCMYw+IYoTFGrbXodUoJTlQaHL9IRf2JTMfI44YKqheBI9xUCOP4tw99osMOovrQCVpoiSJR+oj+qYFE6QLTVuCIk8Qjsk4j+7nouXFMAiRAAiRAAiRAAuNCANF9hiBG3E70bibzXt8F9S/pw/0aUjSYfvWxDTBuWZbfbA/9KRz66uvTN8L+zD0rZCcXPFKUewkW1G+sKmvSVjAMujuccIAmabDzlgRIgARIIJEJdBYsaNn+YPDSZMZkqTRCZvxLZ9Fn47X/zsJFQu3ciW081pryuJQZu44ttdoPItzCi9dZOSf8nLfpgm3RNEiFHbkfaE060K6l8/A8abct/hFEKv05kDPeXby6JfnhhqX/0LLtfnT9RvSj3mF8xyixKKWz6N9DudLR6jGi+KfIQYb+VnvSuibh+BwWgYsQCQM9nV2VeWHioW5D0sFTX2J6BCiTCFbEGb2tukRp9FeqFPGNCHTUrSSGEN4hsCMM0mCP5xbK5EAlzGwMrBK641mOPiRAAiRAAiRAAiRAAgMEICdCZ4OuiAuDia4u5meehzw4+94vOtuCzaDlQRGLKMMOMTvnhR3IhkYCNca43n1627UrwcwaBDHOvu8LGDNTjL/NDgAL/lPWeKypDGVsGRx4SwIkQAIkkFAEoFSgLcjAZZAZEdMYDGiEcDEu227dNVPEVcqgygGZ0bF39rhsZlxeio8GEYmuqvzItyMTFhUXRZjiwu9BiYp0SEyLVNXwg2d5ZQhtrSwTPV+inQLRrXIFBPVF8xkXOzo+I8ASIYjo5R3oK73f32Uz3Umg7mJGvxrq12NwUzquizMiUdrdrU1BXEUPd9iRZi4TqJEqjrqLaDyNYo8o6Kh5xjUICPKRn4VQ6RM4OjSuo9GJBEiABEiABEiABEhgpAmgqwvkwaIck5YuPsWH1i1vztwkdcUZty1BCGLuvrM+X6hH4dI56Zh9/oFVMXu4bFtxGJ55aWdH+gRcjwRIgARIYOQJQKEakBY1jRGDAZkRg2BA40PITYbzyO8g1opIixb7EdsYyN3e+RckTcd6bpLMQ1mCfti2/8Wo5/F7QSaQCn1zb8naqG6JNAHlKlLOMrMIjdG657W3vQoPogO16nEmyBGVznpsGwKgN5C6DmEwWka/CMKMyICOPIVsaoOuMfooR2iYQoCVIu3AAAnjQ0iLtvg4hMbILxIgARIgARIgARIgARIIJ3Ch9Hq4wXiH4EZc6DRtmCgurJDa41fbThqmIm/RSBrOJUW6elCRTrSQAAmQAAkkBoG+czvNBEZNbAxTGvu+SRn7XYfSt7Xc7R2PdBZ+OvY7GZc3Ijcc4iHC2CzeDp2qcc3vAhrjTZ15cxA1Z+GcCFPoqmwmJ5oGNGa4Kg5Y7xk6nj66z9p51Gd9ivNyBg4YLbNbvwFUaAQHUX3R8svvbJO4pGKp+SJ2EdnQIk8cfberC9C6Wq9Aam7WA1mz0eLjYK60NUDOkgAJkAAJkAAJkAAJxEkA/aYRuCgFxpgSJdZ8+6ktcK4ub4xzfbqRAAmQAAmMI4HO3A8sBcYwpRHOY79V0eQldXooqDIZsZQzYRz7nYzLG9EnGsqhaTsP/X6gwkmBEd9F/rhyQz+baOPBCIz7x7fH0GDRicDCQOZy5IMQAFE5U2/3OduFcxxRgoFMamOitH6pIY8twhel6hjP9ob8dj5IAiRAAiRAAiRAAiQwdQisXnAAgqEszGjaPFqPwv5t+/Q/LHnyzqVoH6PZnb3uvLRzyasLk+bsX/x+WsbOkq72RMlj0jbJAQmQAAlMTQIB7U5TEWMM4DwulCAnIo5RtnfBYOqoi6Atm0fHFgxVn33FL5u33ose09AYW3Y8nMjV82KKWvqAuoklcCGqEJtHAUZDMCG68yDOEFP6n14UThTOsUI08WMgO03DGSUWDSsP81/JmGIv0s+H+Qo+TgIkQAIkQAIkQAIkQAJnTlZDXZx5R1J+uugRo3WUjkZm1XxR6XHLskOaw/H8shceXAOj/pp117K07ScjUrG1hzggARIgARIYIwITQmAcIxYJ+ZrmrfdBMBSyUqwvBC42b7rT23S+IemnIo5x/wsJmysdX5OXYMY0nGMdPbHmZVcXrTcNUoxF8nJ/PxKcA9pjrl77RdVEGFG20foM6GKDnwHX1Vw4e1ujdr2xXsR0NqbACAfTB2kkARIgARIgARIgARIggTgJIArxpYfXQhhMSy6uvNiAQc5eqzJBaDmN8MUZtye1NnXhFdAPl/81Q+qKn76998yJqm+rWiFR7tly/OVH1sGe9OF+fR+ZOHdFNxIgARIggREkEHeKtAhuHJcU6RE87ERcqu/MNqiFrTsfjbl5CIyQFuHmtZ+TcYxdhQtjPjUuDqhPGFvXku1L4itmOC6niPZStHSBDIh4RX9vs+zP4qo8KH4rUlU0asGUx3ZaexbaIyzIgLaOS4Ro6a49gejHwMpZ6silwMeMJp1YEaQaWA5IgARIgARIgARIgAQSh8CGJbmQAd+bvR1tpqEEPnvfynef2epyhnKf9Vtta+6WkYpbVxyW9uSVBXj8mXtWXDxdq/fEuK/HjaUwu2vjMcOUdnvlmzp9nrVm54AESIAESGAECcRq8hKWNA3nEXw1l4qHgOrqqFv4PWiMzvJMa//G9bfbV/yz9IEehUfqFk7D49ZPjdest61SaGWxLriN1w6H8170bdGO5q4/1a8Ef3dCM5pgonSPPbi+qroq8+DsbboQ7Y0yk1rWb3TXFcPZE9052iLR7GzyEo0M7SRAAiRAAiRAAiRAAiNC4OKZWgiACEesqWyWC2amnILlr6+meG54Da+oq2l9e9ZmzM5/Yw/USMzKlGqkQtdWthic5W13h/PZ+1c++cdlitcf6YAYyKf+tByBjuhqHTlLCwmQAAmQwEgRUNqr4syShhucR+q9XCd+Ar2nNwfUwu+hEF+0pyA/wqct4xXNQbaf7j21XrMk2kBqZZoQFzmAQ6LtOa79KDdk4KJQAm2lhke8rQFltSJHHVAdRZPoQHlGr+OawRm3qt+LDtFYCh1hxK27S4AqyxybIEaGL0Z+IrSQAAmQAAmQAAmQAAnET+CGy/va4xtEhOGGUIQhkns+f28fjB88l1x44CJat6iqipTnr7adRJFG2NE/Gka8BY8j3BEWXEs+SIvWGmb9YhEheeWcSd2hhW/swdTi9/bFv2d6kgAJkAAJDI0A9Ip4GknDbWjr86n4CKjOS/sa1/yubt7NdfNvxSfiqS/RHuz4+j3oh0h87juzXTNqA1QptK/8Zd2C73ibL2tGKTmi47ZmScCBiGMszxKKmeEqz5qgsYv+PgeatuA4A6nHGYhaNJB3X5eJ0iHtUemySQLQkFVPr+YvkqxlVnVDqEaNXFnfLEbzH+LA7x3YbdgHIdRFv/FvykN8BR8jARIgARIgARIgARKYkgS2f3EY+t5bT2w2hBciUXrbisMotIhZiIqIP8QAFyxbluUj8VnSkrGO815PhUKIWWRJQ5CMBFl8uAKzKMmIKcQ9osH02eIajAuyL8inoimTkUvRQgIkQAIkMBwCaM1srTHCYTjr89kYBHyKI+15EaY472bRomXRNDGef2t38ergg6rSlv5ywEF0iHZeTkMkm4hu62lAjCJSoTHVW7JO/xbU/YOxI+sNvTEBx6jHCIFUCFxQGsuzMMAtjAm41Xi2hMBCFFT0d4k/nspEaaSrG+orik7TgZBF6IramkpHrbM8W8qMSJoGB7Silrde+3n9Cmj4ArvScV17dkQGyJXWfwq4HZFluQgJkAAJkAAJkAAJkMBUJpC9qxQZypWXG0whIGpxw5K8N2ZswjX3tdQ1C3Nqr4XyoCEVymKMFRfF48cPliEVGoLhord2y+Yv2prH8i7D/uVa0RkTDWKkXLlqXjYESdgLsqIWI9JW4IAESIAESGCkCECyMM2VhhFTI/UWrmNKwLFnFsTAluQHZYNg1dXekfOWlBMRu9ivitoj+IIq1bDkJ9IO+VHWZhS3C27tLd0gfbTvsjtM17EkzcLBWBPwKcG+zxGNsJX2a/jXylWRo5VnxN4gTgpNsiwdU+IqSxeNXZxthm17mi5hFj2pDXbekgAJkAAJkAAJkAAJkEACEtDCEQe7N/u37ZAHUZJRexDlFmU7aYiWufvOItVafmXsLIEnZEZ521jfMffVVFhwobNM0In/IAESIAESGCsCKLGINi5oFQ1RERcGuGXdxdHG33tmK0TC1t1P9PvD2qi1Zb4mtUTH7ln9iktuAx2Ku48vgxSJhGjoio3r/9CW8aqUJcP2qdywr/4NHpedQcKmeDOiBEQEZmslRD+EICI/Giqhfnl/X7OUCgMRp/qZfhEuiCKNaAET+eX3IlEa1RcjZ2BBhCQeRBik6SyNJEACJEACJEACJEACJDA5CCDNGQrh0jnphuOcOlopIxs/eSXFXi9Sn959ehs8v61q1TyP55dJgRHfl32U3tXu1KY4IAESIAESIIHJRwA5zrbP/h7dnyP1or5zX0JCRN1F6ITNW+5RDZFsXpdBkNTD6SpYgKfa9r+oN3I8sgSgAWrNXISKGLgQsojCifoXyYxmd3UBQhT1djzuLBP1J/WJ0noH07HIpA4UeDSdpZEESIAESIAESIAESIAEJg2BvLRzkAdRqjHyRIiKXLMoB7NP3rl0wxLR4QWtZFDXUXrKvtIw7tp4bNHbezFApxhbrSNyHb2lKPdSfU0MH70/xyRAAiRAAiSQOASQ2gwlEJGiEVtSW7bd37j29+jb0rDs5/Cxr/5tnGX3uk+sCPj/JlK0jHgLDUMkEGrmUlPkbb+OliuihmHdf0qZEZnOWmK7aANdKaoporak4WUID4YdTWHibAmNHwCxflmW7ChtWI23JEACJEACJEACJEACJDCZCKD0IrTBv76aEu1Q50tqXvnLOvjgQoVGzW3F3CxYPnl5p8yhLsq59Nm7X6FRteYQOUBWNXrN4EIna9R+jHSghQRIgARIgAQSmUDrrhkQA2VPEP0+pfDovLgXRn+XTWqM6P+CcDhh6WvBpfl3FX3WXbwGDYidF3c3b7kbC0KZxFOaAwcjS0D1OGVDlkjJV3V1yLqL8pOS78WHFRAG0zFr2In7+nFMQZkMs6s+b/Mld01RMLFaVVGJEV3FpRqp/+jDnuINCZAACZAACZAACZAACUwiAlAEkQoN0c/lDKslpT8ipjYvzX/3ma2afFh6tBLqIiIbUcJR72k9hvyYs/f0rLtEM2skXFeXN1r7c5YESIAESIAEEooA6itCDzRUSkRgGxpJt+58VNuqu/Z43fxb4GlbNK0j9/3Gdf9u/+JfZICiyKQW7adDF1rGRApZ2lIcDJ+AzHqO1mYFuc/B3i6Oa9q70AlayINVh7TIRjmlep0yUdrfY9ecYYSn0CTxCFpLBzKpMXbXFUPb1Nw4IAESIAESIAESIAESIIHJTWD7F4eh+KFttGIZVXjDFaxejtTpFx9ag0fQ9mUIZJobOue9vguPz7htSer6I15PWH31ISzIR0iABEiABEhgbAh0FS6CNtiZNyf0OtWHiosQEpXOb0PG/n7H3qdFC2k0jw5oiW2Zrw/MqpCzHHtnO9Ke78z7ECnVA3b+c7QIOCty0dHb0M9Fexk+OBnf6LGVakY4uyoPQiT0tlwJGQMjZFiL7Gntb65yWlW8TRcQxIil3NWFyLlmWrSBG29JgARIgARIgARIgAQmPQHPDa9s4JI0Z39PV7DxpTw1eka/+uh6pD/rIaz79GvIgx88l6zVY9TPxjnOTz//9N0rsM6bMzchTTvOp+hGAiRAAiRAAuNIQOmokW1ctCDGvgu7ICF2HfncsCtUVkTgIjQrSIu9p9YbOoYYnHk7sgR87h5EFco1VXc3dEJP3UmTVyg3EGQowg4rDkS2bkHZRkzhUl2DSNYweQtNJEACJEACJEACJEACU5IA4vTKL9hOHb2KCwMtbG9yw+jpdiGCEXIf8pfRzyV9R8neLSeQEw0LLoQ4aiUTL5Reh2Xm7UnfXguVkxoanLbmbpRtxGrTbxNdZqYI6qGx4lMkQAIkQAIJQqDvbHJb9n8EN+NT7Kt+jYqL/WgSHf7Vd2Z73YLvhNt4NxYERAVFhBHWnpAv8/c1BwTGYsO7lc566IqYQkFFrWkLnPVNpRGUCIfIRGnDUrwlARIgARIgARIgARIgAQMBaFzQFU8WlGsXbqeI8IUCiScOlb83e7sUFeV3hBeeOlqpUQKKVx5dj6k9W45rxuEMUN0Rvaflu159bMPFM7XDWY3PkgAJkAAJkMDIElAclSJzVrkRtqwa7FMG9SmQMf1h2Gzgpi379bqF34u00zKqBCAVynxndGOR5RNF1USoiDVF2nvh46k/BSM89f16ZG8X0VFa+1IVd1U+PL1tod+FtEkOSIAESIAESIAESIAESCAagbLz9Zq0qA1gjOY/Ke2VFxuKD1fkZ56vrTTGKG5Zdghi4DtPbbGu1hg/li3L8rHgM/esQHa2lBnXL8519UZtNxP/yvQkARIgARIggeEQcNccQXSirKBYt+BWZDoj2dawYPfxZXCAAGWwo28IwhobN9xhsPN2tAnI5izu+lP65iwowChqMPpFKWl063YGAhfRxVsNjzuVUqSrMl+/SfSDNqm4qPfgmARIgARIgARIgARIgAQiCJQcCQtflBojghgjHKeiAcIjcpmn/2FJVVnTiJy/7Fy9FBULD1zEgiVFV9HPGpaXHl575mT1iLyCi5AACZAACZDAEAj0nUWCs+jP0rjmdyilKGXGhuW/MJTy68j9AFMow2h4BbrAwB4ovWiY4e3gCaB/iuMa8pRdFTmu8izkPvt7GsJ6rKg+b/MVX0D+hTyIJs5qQEvU3gQtUUQhtpTJwEVXRbbSUavNhgaqCjdXZV7IwhEJkAAJkAAJkAAJkAAJDImAqcAI45AWm2wPzX01Ferf1uWHRuRgHo/y+vSNWBC1H7UFUQpy9YIDUnVcNT/b0HFGc+OABEiABEiABEaPANoKo3xiQ9JPPfUl8i3e1vLmzXcJmXHBd52X0rRX953ZBqN95S+F5DXw1Xt6c938W+Df71MGbPznEAko7VWyUiKkP/2Fwomaxqh01mJKJEGrPgw89vOGl6FLi/Ys9Emt/4vRDenVWKe60GDnLQmQAAmQAAmQAAmQAAkMlgBTpKMR62zvg+6HCMZme1c0n0HZd6wpxIJP/Wl5a5NxwbPFNS8/sg6zyav5S/6goNKZBEiABEhgBAiI8okLvoPqi2Fr+ZSOrDeExjjvpu7i1cEpr6t5052w2BZNQ+eXzkOfIC1aSI4r/lnpuB72OG8GSQBp5u7rR6UwiJRnFEiEMOhzdXnQeKUsXQiJqI058CU9oQM7y7OgNw6YQ/+ErohHXJbiIeIk4YPGLqHHOCIBEiABEiABEiABEiCBIRFAExNDECNup0iTF2tg3R3OJ+5cCtGv/rrD2jOe2WtX7Ei1xmq5+86a+qMMY8raIlmMsfRoZXeX09SNRhIgARIgARIYWQL+HjuSozvzTPq24EVdx5KkxtiR+76s8gfhq3XXDGmU3xG76O8dmVoiI3u0CbSa0l6DTGfIfYhLjCx9iRBTTOFCJ2h5KKiRAf8MfDeVduGADGuhHzZfNuUgHK7molSjoTCjqTONJEACJEACJEACJEACJBCTAORExDFCV8SFAdVFjVjWrlJIgs//eXVRziVV1cyDHqBBzNtPbcFSn7ySEnMd6Jkz70h67s8roXAO+k18gARIgARIgAQGSQBp0dAJLcLYUHFRlmd07JnVr7jk8u6awq6izxDBKJoX82sYBBCmCIYB/TADEYlaHrRhSXxA8NH3hhaaZEB1FD1ZzL7QrgUlHOGD0EeDiujvcwh1EYqlaW1Gs9VoIwESIAESIAESIAESIAESGDIBdJd+9r6VyF92OYfe6HnP5uNQF5+8c6m9vsN6J6qqfvTil3BGYUZrT86SAAmQAAmQwIgQ8DZdgsCoT7+NXBZyou3T78Oteeu9qrM90oGWoRFA8KGrPFsoh9WFyIa2WET1OGWitM8V+l0iqExW5OhbSOsXQWSpM7A+3oKGL2gNAzVS9IWBMlmWqegKaeqf4pgESIAESIAESIAESIAESGDECaDxSk1l85CXrb3WMvP2JGiGGSmnYi6SLWMmH1iF5i8xnelAAiRAAiRAAkMmoHp6eks3dhUsgGxl+/wH3cVrrJeCDtmw7OfQGO2rf2uak2v9OGcNBBBS6K49GRD60gMhiLEzJaQwiBR1bSlEP0p90iIQUVU8noZvxIt0F14tm1BrS3FAAiRAAiRAAiRAAiRAAiSQsAR8PvWD55KhLn74/A5EJ1rvs8nWMeuuZXAuLqyw9uQsCZAACZAACQyHgLu6AG1ZoBZqV8OSn0BytF7T31XfuPb3eAT9pr32c9bOnLUmAJ1QKn7REpwjH3ddzcMjeoERPhB7xTrl2YYkaMPjmEVatNJlQzlHa0/Dg6N3i940aFXjqsjGhYFpq5rReztXJgESIAESIAESIAESIIEJRCB9RwkEQ0QwflvVar1tqI9zX0uF89I56daenCUBEiABEiCB4RDoPrECIqHt8++37X+xI+cd+4pfSpmxNeXxfr/XemXV3dWy/QGkS1vUbLRegbMaAVlWEW2g41H8fM52ISSWZSEiUVtBDmQkJL4b7Il76/dq/bKlyiq/wxjzJzBxD8WdkQAJkAAJkAAJkAAJkMDoELDVtqPuIjTDvVtPxHzDwfRv4Dn7vi862/tiOtOBBEiABEiABIZGANmydfNvbVzzO6WjJriCqqBdS938WyAzOvbOjq3w+D3epvNDezufCiOgKq7Kg9DWYmuDquKuOQJPJKqHrRC4gT4JlRKzEyUI0FRdDGmMkSekhQRIgARIgARIgARIgASmKgFEJH788k5ohu88vQVdpK0xOJq7n7p7OZyLck3+w8H6Wc6SAAmQAAmQQPwE2tJfgZDosZ02POKqyKlbNA1TLckPq+5uwyxvR4kA0palsGZV1lLxSHXRVXVIVW6Y7mQgURrBkE5Th8QxQgWVR472faLIpImDlDshARIgARIgARIgARKYxAS+/uoMBMMZty2pKm+MecxP3/kKzove2n08v2zrisNoIZ22/WR9jSPmg3QgARIgARIggUERQOlFEaZo9gXVEZUYoTE2rv+Dn/2FzRCNhk0mSqNXC/pER66PNtCuq7nQ4lzVRZHJ0Xp/T51oGeOujZ00oX9q7McW4YtSchSJ0vwiARIgARIgARIgARIgARLo72+2d8l2LSlri2LyOJJ7Ceoirqf+tHzmHUnP/3n1s/evlJZV87I9HiXmCnQgARIgARIggZgEVFc7fBqW/SMSoqM5K+1V9lW/hsbYsPwX3pYr0dxoH0ECqg+J0vmR2qDq93oazkjNDYnt/Wqs3wcUF7qlwN+io/QIbnvIS8lsbnku0+84xZAX54MkQAIkQAIkQAIkQAIkMJkIzH9jDxTCN2Zs8saSB1FxEXUX4fzsfSszUk55bojq+ug3fba4Zu6roufLxy/t7OtxTyY4PAsJkAAJkMBoEVCjVuRwlWfZPv+Bu+oQWrR0HfncYgN+p6N585+gMQp/xpJZkBq5KV9fm5TalPZgYUx/b7PsGY3wRQQxxvkqSItiHQRDRjSCiXOFMXCLKTDCYQy2wVeQAAmQAAmQAAmQAAmQQIITKMi6AGFw+m2Ly8/bYm4VPaPhjKhFe32Hwdmn+FbMzcLsRy9+aZjiLQmQAAmQAAlEEug48GZH1humoW7dxWugGYr2Lmt/jwzoyGfDLF5X666Zwn/Bd5yXvgqb4s3oEPA2XxLaIJpEu7vCAhd9sQIXw/eDWEelK/avH+EPjekdU6THFDdfRgIkQAIkQAIkQAIkMDEJuHo9s+8VEYlblx+KeYLiwgp4Ipm6trLF1BmhjC88uAY+FRcbTB1oJAESIAESIAFJAH1AhCQ476bW1OmmnT4gFdYt+K70cVXmxeCm+jpy3pLOfWe2xXDm9PAJqD70cAmlDFfkKt3xBi4O/+VjuQKbvIwlbb6LBEiABEiABEiABEhg4hK4dKYOKdI3XCLZ2eKrp9v1/AOrIB5m7yq1cFu7KAc+yasLLXw4RQIkQAIkQAIg0Htqfd28m6EKNm/6o7/P5E9X7uvHkfgMB9viH3pby2NC6z6+HG1fFEdlTE86DJ+A3xlMlIZW3O+P8VvE8F83jitYBDEyK38cPxe+mgRIgARIgARIgARIYCISQKtoKIdIf0aYosX+k+bsh1v6jhILH06RAAmQAAmQgCSAWot1C6dBQrSv/JXiuBaJxdtS1rD8n+CA72jpEulgsMjWMAYjb2MSQBCpp+mCq7ogFJQoOkEXeJoumcaXygW9zZfhjw9R9fTGfMUEdvB7TTVGoS5OamV1An9k3DoJkAAJkAAJkAAJkEBCEjh7shqyIXpG1193WGxQUXwvPiRSpE8duWrhxikSIAESIAES0Ah46ktsS34swhSX/Bhjza4N/D0NKMMoNMYlP/HYrKLotUc4GBQBb9MFva4YPs5wlmVCZjRfcCBReioE8iFXWsiM5Vm4MMCtORNaSYAESIAESIAESIAESIAEzAigTuPLj6yDbJi2/aTZfMiWl3YWbq89vsHns4pyDD3AEQmQAAmQAAn09yN2ERGMkBARzYhwuEgkqqenZcfDwmHRNFfFgUgHWoZMwB0etRiuLu53Xs4QV1mmq6bI9BU+Z7uzLB1PeduYmW5KiEYSIAESIAESIAESIAESIAFBYMOSPMiG783ejj7RFkR6ulzoLg3PolxjnIOz140W1UdyL6UlFxcfroCnxTqcIgESIAESmIIEUIMRlRiFhDjvZtRmNCHg97alvywc5t/SW7rZxIGmwROwjF2EuigvCIzp0BiREG36BqSxC8+yTOjApg40kgAJkAAJkAAJkAAJkAAJTHECaAEDzXDG7Uk1lc3WKFbNz4bnRy+FFWlEvcaD6d/IRtWYlRf6UKesLYrZVsb6dZwlARIgARKYZARQxw8dpQMa402dBz/u7zcJhu8qWBB0ODx3kh1/7I+D4ooDEqKmJUYbiCBGISF6nWb7VGUYpPv6EbNZ2kiABEiABEiABEiABEiABKY6gWUfZ0AV3LXhmDWIM4EijU/cudRWGyrS2NnW9+ELO6So+OnbexG+WHjg4rYVh5/780oYERLpaO62XpazJEACJEACU4uAqnRkvSElRMe+5/r9nsjj953ZhiBG+DjSXjB1iHyEFlMC8YUvhgcxRinG6HN1BBOlW5kobQqbRhIgARIgARIgARIgARKY0gRQTTEv7Zzi9VtQQAb0Sw+vhWYICVFzQ4DiB88lw/j2rM2VFxs0OwZItV67KEdqjNYr65/imARIgARIYIoQ6DqWJDXGlu0PqK6OyFO7rubaFone0x0H3oycpSVOArGqLxqiGUWidLRKjHhjKFHazb8exvkJ0I0ESIAESIAESIAESIAESCBEYP3iXKiF76NI40BvF1VVF7+fBiM0RtOKi3BYOicdDugLE1qIIxIgARIgARIIEOg7n1q34FZIiI1r/83fVR9JxdNwpnH97Urnt5FTtMRJIO786IEgxkC3l6iLq0iULsSa7toTUX04QQKjQ6C+z7fyUsdj+bYH82zvnWqp7fGOznu4KgmQAAmQAAmQAAmQwGgRuHimFjohijTWVrZo7zieXwYjro9f3mmvNwk+gWfttRY4LPkgTXuKAxIgARIggalDwN/b1Fn0WetXTzv2zUbIor/XWOkXapXt0+9DY2xY9o9I5jUjY1Kk0cyNNnMCgxQYITOKjtLmawWsPleXp+6k6jGt02jxHKdIYFgEVlzs+L/Wlf0vX1zWrv+y8vJtmd9e6zapsTCsN/FhEiABEiABEiABEiCB0SGAPOhXH9sAnXDXxlCRRjR2efupLTD+9dUUfH/yzqUZKacQshi5hVceXT/7vi/MZiJ9aSEBEiABEpg8BKAutu56omXHX1p2Ptqa8jh6uzjSno/UGL1NlxqW/RwaI5RG6I2T5/yJcZLBC4xCY0yMvXMXJCAINDh9/5pWC13xpq0Vyy92HG5wXuhwf36+/WepVTDesq2SoYz8QSEBEiABEiABEiCBCUEAHVsgIb71xGZ9KcVTR67C+OaTm6Acni+peeUv63CLXOlvq1oNh3pz5iZM9fW4DXbekgAJkAAJTG4CnQULW5IfatnxiNQYW1Ieg8aIOMbIUyM/GlnS0BiRMd13PiXSgZYhExiSwLh/yK/jg9EIVHV78up7d1d348IAt9E8aTcQeOSgDUIi0qI7PWHVwr1q/8zDDZiallzZ6PIZnuItCZAACZAACZAACZBAQhGor3FMv23x9D8sqbwc1sNFNnA5mP6N3K3L6dm8NB9C4szbk/ZuOaEooV/z0E76xYfWGA7lucGyOQYkvCUBEiCByUagNXVGy/YHhcaY/LCmMTr2zjY9J/q8oNuL0Bjn3WQqQpo+RWNMAoNs8iIqMeKRmMvSIX4CHrTSq+/dca3LcMGIqfjXmQqeSgSP0603/tcvLt+8tcIZORcgcv/X9dAYnywM+zV1KrDiGUmABEiABEiABEhgwhE4lnf5q20nDdue+2oq5MSqsia9vexc/evTN8L+ztNbqsobMXXtih23i97eq7nl7js754UdMD5193K0jDm4/xt9YKTmxgEJkAAJkMBEJ4B4RSEwhjTGR0Su9J6no57L73Hsew4CoyPthf7+CKEh6mOcsCKAypaDDWKMUgzT6i2TYE71Oj31Ja7KPIkLA9zCOPyjmaqLUmzE1PDXnzQrvH+q5b9vLD/rCMt5QeAi9MPVVzqjHbOuz4fajH+z6goTpaMhop0ESIAESIAESIAEEpnAy4+InOjIxGePR9mxphARjzNuW5Kytmj5xxlwk/okKjSu+/Rr3OJCwvX7z25/6k/LMX7p4bWnT1Ql8mG5NxIgARIggSEQ6CxYgKBEg8aIni+WS6m9Z7b2+5k9aglpMJOQyAYrMI6IqjaYPY6/L47sqsiOBAXjMGkgFdoQuGi4ncq50u0e/9f1vaipaHeKzJfph0S+8/NHw/54/auvamBEHGPkTwnCPzNq++7Lqf+bVaLzy3NHwh6M9KeFBEiABEiABEiABEggAQm8N3s7tEF9U2n9JhG4KFvAwAcdXpy94o/RlRcbnrlnBW4xkM5oH5OZcgqhjHCLDJLUL8gxCZAACZDAhCMgmryIIMaQxoieLzBOuINM9A0PKohxaoYvuuuKI9VFacHUcH4ALMIXp3IQIxRFmdoMYRAX+kHfnvnt5vIujP+fDeWeUKGd/v+54xqMXai3qPsq7/S8Udz8d5sr5OM/31298lKHoUKjzp1DEiABEiABEiABEiCBxCUAPRCqYGZqabQtogzj7o3HZ9yehO7Smk97a29kFxhbbftrj4su1cWHKzRPw+DKN3WuXga0GKjwlgRIgAQSnQDkRMQxQmZEPUb0fKG6OF4fWJyVGKds9UVneVY0gRG50sP51HZVGUsvGiIY0fNlOOtPxGfXl3X+7foyaIO/3lfz0rGmxefbEbWINGdcKLcIe0pViAmqL8JS1S1qd/co6rqyThnTCCPyqV8+1oSO0hMRAvdMAiRAAiRAAiRAAiQgCaD5CyTBFx9e29rUZcHk22stSJq2cJBTtddaZt6RhOBGfXcY7Sm8AsnUSMrubOvTjByQAAmQAAmQAAnETyBmHOPUjF2UAKOpi9IeP+RIz5gCIxwin5rEFiREQxuElgiZUX/Mbq8qu0VjFtGM2tSfsutgmXfG8fihhv+29grG/3Xl5buy6/ZU9+ijGlGAESol3LQHOSABEiABEiABEiABEpgoBLavKoDGiK4uBt1PRUmcnSVZu0pRdFE7C4ZeS6Xxo5e+xGr2b9u1R7TBwjf2YGrxe/s0CwckQAIkQAIkQAKDJYByglARDdGMuIVxmJUGB7uTRPMfPYGRKdL6zxq5z98PpDwfajDpnoM20SioCAnxf1t5ub4vmCa98KwDFnnh2flnHY0uXQb1wOqQK+HzQnj9xoFJ/pMESIAESIAESIAESCChCfh86uakfEh/CC9MXllw5Vx9TWVzfub5j14UUuHM25POnKhC+OLW5YdQZXH6baK3yycv70QX6e4Ok98qP35pJxyQCo0z+xTf4vfTzhbXYFyQfQF2FG9EenVC4+DmSIAESIAESIAEJiaB0UuRZpMX/U+ErLL4r2m1eqN+3Keo/2NTOaTCT063SntJ8w3cInU6r97kt0ftWdRgpMCo0eCABEiABEiABEiABCYigZKiq+88vQUaoP569bEN6POC48gu0mgq/cFzyegcDZ0Qbk/euRSqY1tLSDBEGUbYn71/peL14yk8++Qfl8Gyal62fKQg68JEhMM9kwAJkAAJkAAJJD6B0WvygrNbBDFiKvHhxL9DpDl/ea175uGG2zK//WN2HYor6tu1YB10ZoEMuOJih8WaSRfa4DMt+Zrm8/v067B88J9ByVGz6wcP5InQxx3XQsUb9bMckwAJkAAJkAAJkAAJTBQCCFZMXl24dlHOxqS8C6W1CG7EzhGOCJEQ4YtV5Y3yIAhNPHW08vP39iGgEUUXNyzJRdAjyjm++/Q2eGIF7byN9R1zX02FERc6Vmt2DkiABEiABEiABEhgZAkgQ9w8iLE8a/jJ4x6faqoxwoipkT3IeK3m8qvIZUYDaKh8+uvWbZVoGK3t6oGvhQyYXGlVdvKGX/0/Votai0V2l3zwVKsIYkTZxmj9XMo6Pf/n2it/s+qKodm09l4OSIAESIAESIAESIAEJjSBFXOzIA+mrC2KPAX0Q0iRMkxRqojQIduaw/7ufDy/TE7h+7KP0rvarVJjIl9BCwmQAAmQAAmQAAnESQBCIuIY0TNa1mPEALfDVxe1tyNXGooiWrrgwgC32tREHzS7fD/YeQ0a4N9trph7xnHW4UaZRMiDv9hbDSNERe2AiGyEJVXXJFqb0g9kn+jphxo0Izq84MH/d0M5FteMclDZ5fmfgbqOn583qeNtcOYtCZAACZAACZAACZDARCTw4fM7oA2ePlEVbfPOXjdUxBm3LYHbwfRv9G6o04iMadh3bTy26O29GDx730pbLZsD6iFxTAIkQAIkQAIkQALjSaBHUX+WWgX1D02cEceo30qTy/e368swlfVtn7S/XdyC2zdONuvdIsdYCm4IWcTichb/fDDPBiOCG/9y0HawwXm8yYVIyGeP2BG4CPtzR5oi16GFBEiABEiABEiABEhgchBAKjSEwZy9py2Os3ROOnzmvpZq8JHRj2gKIztRF+Vc+uzdr/RtqQ3+vCUBEiABEiABEiABEhhjAtsqu6Dv3Z8TClPUb+D1k6LoIgIXpTGtpge3/7S3Wu8TOX6yUMQr4lpX1qnNIptckxPlrPz+D7uqoTdqbhyQAAmQAAmQAAmQAAlMPgIozAjx8JVH199weU1PV3jgIhxm3bWsyRZW7rv0aCXs6AVj/5bZLqbkaCQBEiABEiABEiCB8Sdw74E6CH1ajKJhQyjMiNn/svJyXZ+oxNh6w/+/r7qCltDn2oyZzvoH/5RdJ8sw/su+Gr0d406Pf2N5J6IZcb1V3FJgd4YFTRq8eUsCJEACJEACJEACJDBZCKyclw2pEC2k7fVhEiLOdyzvMrpLYzZ7V6n+uH097hcfWgN7xs4SvZ1jEiABEiABEiABEiCBsSRwrMk174zjoTwbcpCXXewwJEFjJ/+eLsoqwi1yVzD+f5vKoS7C4ZPTwR7QLx4X6c9aTGPkU0is/m9rryD0EVIkPCu6Jk+xysjD0kICJEACJEACJEACJBAnASQ1J68sgFqIttGL309DocXiwxX4jpxoWGD/6MUvDYnP6z79GnZokrIVdeSLFMVXXd5YXFiRkXIqP/O8Ifox0p+W4RNou+FfW9b5bkkLYglw/TBFVFvChcGv9tXgeqekZU1ZJ9yG/y6uQAIkQAIkQAIkMO4EcuudP98turTor+9srywcaO4sdzirsPG/rry8v7ZHv+HyTs/9gYbR05IrV13pwAoYSAcEMaK4IiyLo/RkQR40ZotbbsgV/nqG9bf1aDkmARIgARIgARIggSlNoPyCbd7ruyAbygvtWha9tRvjmXck1V8P+73xQul1Yb896dtrLabILp2pe/PJTdpScrDs44xme5epP43DIXCt27PonAOKov4/LjBGcpN2GaYgNi4856icRM0xhwOQz5IACZAACZDARCSA//fH/78jhhDlEHdXd59uvfFVTY9s7vzfN5ZDJNQOhWRnxBxqtxjjEUiOyHHGHx/7FNXj60f3Z6ymKZOIhJS/PHxYipVCKc7tHv8jB0Unl7uy67Dg5nJR3fEPA/UbtVdwQAIkQAIkQAIkQAJThIDDZbvqOHW+qQAXBg6nbYocPOYxXb2ea1fsCDj0Kb41i3KgDaasO6p/CqUaUbAR9j1bjuvtcoyARhncCIe3n9oCH0RC7k8ulnojRMsr34hfR/k1IgQQi4h4Rfn7P75DTkSKE75rFsNAOuiN+M8Kh+4/QEZkV1yEBEiABEiABEhgtAkgZwH/h/79Hdequo01tH+//zqmokUVptf2QH6EA3q+1PaEnp1+SDRtefxQg7bzlZc65C8V//f6spmHG9A2+vbMb+WzTxfZper4bZ8XTyHccaCVtPY0ByRAAiRAAiRAAiQwyQkoqheK4ll7nuGCEVOT/PCDPN47T22BTliQfUH/3JZlh2DEFJKg9XY53rw0H7NP370CxRtla2nN53DWBUw9dffypoZQt0FtloNBEZDSokxfwi/2snQSBvL6m1VX/m5zxQ92XvtZahWu/7njGv5zwOCj6ZBYhDLjoODTmQRIgARIgATGlwCaNX93eyVCECPVRWyswelD+rPpDueUtuJXhf+xqXxvTVi6NJxlPCQqK/botEIERiIkUv8rBH7BSK4MS0iRkmN1hM5pugEaSYAESIAESIAESGDSEDBVF6XYiKlJc8wROUjuvrOQBNE/WkuRrrzYgKqMaPtSVdYU+YrM1FL4P3v/SlRfjJyFJWfvGTggV9p0lsY4CSAn+kcD9RX1v/P/NLXqlRPN+E8G1Fp36v7rAMt2edXzbe5tlV2owoT/JNGkSE1mRJ1GZkzHyZ9uJEACJEACJDC+BPB/9Pi/8h+nVA1qGyiZiF8b/nZ92aV2E/kx+Vq3/PVgzRXjH4KbXb4vr3WnVnWfdZj0lZZ9Xgy/eAxqY3QmARIgARIgARIggQlHAJnRhsBFwy0cJtyhRnXDJUVXty7//9l7E++6rird9x94417qXbg8igsMCE0YVIAKFIQeAkVPyA19Qg8BQvsyCorQBAIPAgmE3DiEhFQcO8F23CeOHdzFduImOLbLTXBT6mxJlixbsmzJluTYcZz322fKU0u7O1vSkXwkfR57yGuvPdfaa3/n7L3P+tY351zhp7juOzNhCMMaP9Te1vXZ9/6Oo9/8xG3bHmvw+rCAAzX0I47SMXFjaKNyPgIb20+4cNEmAvywv3x5y8qW3lhDfJ/RMLARLik8RHJJYjTh5WTNnWOk28faT4SWKgsBISAEhIAQEAJjj8CBvtMkdCaJM3JBlhTxZd5+ZBCzR9REXuJQhUOi9S6aHYVrhidMvaKvrm4lnTQGBGP83fbD157NKJ1q7JXmIs1IvEYFISAEhIAQEAJCQAhMBgRy5IsSMZb9Ahzt7IE/RMGYmqvFnKN//PV7vvD+32NG/MaeY4N+DFv/f/xVFNdxX016dpiyY5jkBogKYqzgR5c0u5yACO2Lm45/b/3Bdy3YSwZJfu3j6MT2vDt24yX9/kVNOEatbetzDB9qPm6h4K1P+3trQrfg9ioIASEgBISAEBACo4oA/gdEV372bTt5KbMCSPBDezvjDf377UfCU/Nm59BHFjehZrT61t7TpGghNuM1Gw+R5fmXWzpYlAyb8MOAJrCXYaWV8XSAzKTJW8/mjPtvt/y9SJTmSxY30Sf+Eck+VSMEhIAQEAJCQAgIgQmMwNYDK2OSxdguOV8m8OWP8NK6j/R+vkQeuse0d9jZfpxDKBg7Dna3Nh/52bdnwCJ+42N/3PhIjdtY4Y4bl3Jo45r/8volczbt2TEQUdzrVYgh4OyiuUX/4x27PQhSc8/pH/2t/ZXTo7lG2e31s+pJDdl9KsoIyUTmus0dTFto5VJGcYwx5LUrBISAEBACQmAMEMDF4MMlvo64JdNquoi3zEmh/r6/4RDv6GdN+bsvKVK/tLnX3/i8x+EDfTcsfH5li2eAJiwzh2YlFIxEdEQtiUMEOV+gHwm3whmdnPxrcy+rmbfvivtNHz35NGlf6JA1TftRMQYQ6RRCQAgIASEgBISAEKgSBMoSjBhUyVCrcxiLZkVRFr/+v29dveSJ0M159V+foP7m6xbZsDlE/MYvfegPVP7h2vthJv1ybvrpQiohIa2GWI5EdPzqR/8PyandRoUkAvzOt/mCsYuEW9xVit8OQ3j91k7zaXIDpwqthr/U0NDaWiXKh3tq+52kmKRYD95QvtLJj0A1QkAICAEhIARGFQF8EHhHX/pQMy4JsX9QeS+euueO3YNYvjUH+t69sJGMLf/j1p1kWuG3Ac7UV284eMO2zt9s6/z08v0kfaND/J2tN/JKs/uSqXsajg/86IK0fPv8fdT/24Z075K79nRxFAITA4I3wkBuaj/B6qTldrng3rrHB+skYyPXrhAQAkJACAgBISAEJiQCcpEe+ce6YeUegih+65N/6usdiBA++6610Ib3zxiUJYeojL/+t/uoJ+7i2mVRcJ6TJ5+CSyRrzJkSO0ke6v5E1YsGJaoe+SAnWA9kdbG4i0YAvm3ePlM1UP+O0qSAX/4hecguG1mkmVMwW/nM8v3sOnloZKPZELwRBQJwMWV46d1R8hcz43TK+TLBvkW6HCEgBISAEKhmBBAB4hDNZu/l2FBxO3AhYuxQzi4ySN7s+D6bDbylOVb/37fuvOyh5qvWtl28cK/9fvjamrac/hE0JhWSBGDBa3twTrmcseiQEBACQkAICAEhIAQmFAJK8lKRj/NYV19DzcGwqym/fBAikYwwYaWVVy3e8ZWP3MzRG344b/609RR++f/OskNGS/7y6tm1O1vv+eOq638wF33jnLvWHT50PNnPpK2BS7Sc0Ub94d9kUw90Cy+6cw8ThyS1aDWmWMB499GT5gRtpKL/tQ5fN6velAw7j540NYIZ4J9VJPgS4eU5BZvHmceZC2er5D8qyTjDWU48PXA41ZK2WfXJbnNqOI31QzD8VLPYWYpfS2pvqZVcLyl12B5u7eWDqOmKtB9tfaebek4TsZ/Y+MCV2lCVQkAICAEhMMEQ4GWE78CXV7detrQZQu+xg4MCJNZ3n+L9y+JgZa+aFUN+FfhrEPrSlyY5HT8P0EDyi6LsSRne1esPfnzpfoIuwkzObzim91dZ0GQgBISAEBACQkAITGwEckSMHJrY1z56Vzft/6yEOXzwvk2ppyBC440/mo+Bbbu3Ram6G2sPfa6Udfqar07zQ1YgTUwyeGNqz5Oh8gePHXJKEAKQ+EhcNXMBsrdQn2QX3RgPJrQKpnmALfT6sGCChFdMq7FuSUVNjRGPmH3/sXRvqRB2PLmsw/Pu7o+3ecmSZsb5pVUHiAzplu0nniYrpVl6rsn3LWrEe+tf7qv/1ZYO5/qYsNCcSFAoLmyexVV89uEWNqSbv97a4X3itIU72PnTa7GEx/N6CvRGvhtS2OAsxi4FmsPpuU3yLBwqeC1YEo2KUJZcMtyvQec9xwoWUT/EPFYmp2esiXaFgBAQAkJg4iGwoqX35dMiT4Fw4y3G28oulvc171+0haH/8ghx4G2IzpBubWnSe9vccWLhvmOcWrETHRMVhIAQEAJCQAgIASEwVASeOnMqlWOkkkND7U32hsCubc1wg7/94bwcQNYt3/W1/33Lb34wF5vTp8/86GvTjU7EjXrz+nr8qdtajlK47rszr/rEbb3HUzJQ53Q+UQ8hXwydo5kOcKUI4YyscyYwnK14eUHJ2JCBCvP6WMEoSoSRJkWwAE3WM6cuK2J854K91qF7YCHMsJrzptY479d58unwvGgFmUkxjfJKyEPjGJkEeSUFcmIi+fAahmTu4VwXeTa9PlRf1HWf8nw3l6+I8gfBYWLJ6e7f12OAJM9CfcFrwdLPS+GBxv4+refYX+OBQ/tY+TUz6mJNtCsEhIAQEAITCQHebl9Z3crDn9cQ+Z15a/ByvLum64MPRvmXWVBbcpZjRExIDa+wKTuPkA+aVT98nH/8ePunlu0nTCJrhe99oJHAy2GERt6JJG7zN2MMN0sPR6bpWL12hYAQEAJCQAgIASEgBCqFAL7SMIqkdGGjwG6lep6c/RBTkZzRZJHesiFPjtXd1QuLCET3/+Ux2MUr/vWGR5f+PYmY2EXHxOSLRvcRSpF6UkyinWMCksMuwhkiRCSKO5MOkkVaSspk9CQ6sc0OWf94UeE07f2XFTG+tpSSEnsnGD+xLAr5aBu8pV0L3Xrls2/baZV2IV5/844o9Q/zpvDS8CaGigxdvOEVrbklr7Tmy1r6Ewnhb+xD4hCeXBgbwcgusaeMxkyeBTNvmH8tWIbC0T8PDrlvY/O/Yf4dv9KwALPqxioIASEgBITAxEPAWD6Wk/Z0DRLbc6UQibzgSNGyujVyUiaMRhirJHxZhGXk/e6eDOXIIZb2krhBTsJe0rnng07aqEYICAEhIASEgBAQAkJACFQbAjg1wxl+4QM3oWaMjW3L+vq7blrutGFrYydO0BgvX7gtZqndEAFyuPiEAuUe8fo4+qO/tVMZElxukyzgPozsIVmfrLEO5zRECkncuEKD/GwvFi4ee5g0G/x31kVJMH1b29Yf2Qle0SoR9ZklEajcjAJRoaw+VDYi16TyDXMiztM22D8jCa9Y0eKVNnIsp5cC2ns9/tpUOsFIPeHzs85S/FpCwpMzWoepfxmtDwZ/7Q882PSvDzQyE/zY0v22/XZbZ2pDVQoBISAEhMAEQAARPi8CFvK2Hk53zfjDjiO8JngBWUBeBPY/29ROBpb3PNDIW+Mbj7SxVogvM83xa/7TrqOsHmJPIEcDhzAd5umACB/FI7GOCZY4dU+XJYYmTEeo8J8AeOoShIAQEAJCQAgIASEgBCYDAuRz+dz7fnfFe2686dr7tz7WULf7wOOP1Pzh2vvNFXrm7WsAgfTRP/vWX6i5+bpFkwGTkVwjkQmZRBj1R0B1ukLbgBQhFPg5eRUWoLBI+EgKmAtn1V+9IaL7UCfin0XAw9AsWT5/eo3lQ7m45PhsJ/rlloGwh8nLcVIOzs2P/mZbp3fugkOPRsg8y6PNm9eYGbtuMEkwzq4/5h1SIPoi5/rmowP8JCIQOzsMnlty+QggqZ9e2/2sKf38JFylWSbPUvxaQiTzCcZQwfjoWa7VBqC/QkAICAEhMGEQYDlsS8eT/nbz65ryRMQfou33mlgBXtH0/LyqYodSd5Ej0iGRFf0oPtfhYpa9BHkpf25lS36UYO9BBSEgBISAEBACQkAICIEcBMwJelvbw2yRE3Rv5k+7nE50aKgINPzXQaIsGqPof7/0oT+sXvKEdfXQvM3UE4wRd+mhdj7Z7ElNYtME6CzSPnL5Xy0FccqRL9qhW56I2DZymuA5hQrCKD4CNEFOWoepf41OvG3XUSY7RuhZDcPIQd5JOfokk4tZEurQT3Hlmn6VhQ+bYXiHzH3ckoLRm0nqD3vzAjNjnLipoa2rInFAsz4vuHcgnc0NgTgQxtXaEtvKLJNnKX4tYVu0JdZh6t8Q820Z8pXUhqoUAkJACAiB6keAJClfXHUAus9eMTzzcTQIh21vHwInhpVeJh0bb0lbgCNrmNfnF8yekCluxjB+uqkdYTw6RoIPI3QUtejgqCAEhIAQEAJCQAgIgWEjoDQuw4auUg331R5Cr3j7DX+99f9bvHbZrhN9/dlzDrZ2ffGDN0EwkvClUueaqP3ABzJbMYrvXQv2cpnQdy4CtIlM1l/oL8LIE0CetMi4SENL3rj9cMiepTa0c6GjYMZiLl1ulpPqJez2QEkuyFDx0vK2nzwr2whVf57OknO5JQXzIAvpO3ORpk/YudByUSm1isd7dIIxHM+1mwZmeSYHpYdX3VOIYMy/Fic26ZAgVzlfwnDMyehbOQ11SAgIASEgBKocgfWHTryilBj6pXfX4M5MOA5bSkM66COHfuRF4HE8rJ63KktgHviXRGw/3HgI12ZvlVPgBUqkEbZjSblkTjMdEgJCQAgIASEgBISAEBg6AugVt7QuTd04NPT+1KJiCPzq6tmwizdcM3+oPXa2H595+6PX/2AuGwV2h9rDuLO3mPA2VWEaAhFHMhEmKUYDhrRVTpmQ8levHxQRMcfYDtE/UZ6A6/LlUYRDG8CtZ/WBSRhDQq/heP/kiNyXfiL6sVYhO+r5LpkfhVeEDzjGSYKRy+efZ3mmc1JtUsNQ7US/2Nzvxx2OJ3TuBj24UzypTSRJ2+RZwrb512IBr+zUOeBwFseBQg5Pi6X+CQEhIASEwDhC4InOkyycERHRc0AzeIhE8qrwwPfIhxYJGe8AjhJA+P7Gno8uabYVN15DH1+6/6/NvfaO82vHBrpy+5H0mI2W4Iy/bn+uCsdOnVl9oPe++m42Cuyeq5HovEJACAgBISAEhIAQGA0E8IxOpRa9UgmjRwP2In0+/OB22MWvfOTmodKD2MMr/vw7M31jd6idFBlhVdlY/mijpyz/I5lB2HVHYzuU9ZfgS1gS451wiMQ8JAJhyONltbLOr9vcwSThjoDPzMklnSTlmEChnPRTfHvdQQOWmJBe6QQj2Z+98rm37zI5RpL6Mzpxw6ETfhUUzP+LgJP08OPH+8WKYRwqr0z9ZJNnKX4tIcHo4R9Tz+JXx+WDDNvBvigCv2s4U1upUggIASEgBKoKAcSKP9/cwRsNZ2cSqTC2jyxu4o3j2Zx9tBb62KOLWFBi3Jap9zcUWsebdxwJXwT4O9O/af5xmubdceHMus6T/YFHrHPsv7AqWvsjg5uNwU869gXoRHjFe2q7fGNXHOPYfxA6oxAQAkJACAgBITB6COTIF41jlIhx9MDP6Rk+EGoRghGaMccs9dCM29c4tegFKlONJ0ylB2D8X3/ejcwPYorggc5WJQtwg+FmBOMHH2x6qPk4xuzCyIUGyR6oMYLxw4ubIBgJDOU2PlFKwpsk5Ugo4w0pkB/TWlniSztkBOOJp88g0nBjj1sVo/4ww4Yg9vSD35nbk+SFmp1HTzJsnMvsLCFKnl/GDsX+xs7C0eLXEqoxmVLFeg53fbQUoCUNYcrm9h5aqiwEhIAQEAIxBOq6Ty5tPs5jlo0CuzGDMdglQIdlZPbnOfpDxkPcxV9vTUmCBitoi1DkfGF4jx0ceJnyQufNlRqPF9k8/f/zzCgMY+9TZ+xd9o937LaAJ8RU5PVnrx7ISctfNgbXnnOKVa29Ti16gcqcJjokBISAEBACQkAICIHxhcDWAytdrJhaIOfL+LqiiTHaY919U37xIC7Sw7ic3/z7POcVvYCIcRhdjaMmcHqm1rOEJs09p8O4fz7NoeCivrDSyt9bf/Dk6WdeeGd/8PmYQVZD8qQAFByg02g5BOMFMwaSqphbcZiNhRzK7pIc0ncWWRFdog/p/YuaGKr9i1F/aDYwi/lEU0MsfYuUyBndWSw8y2+DJC/Jjz52FgyKX4vH82cYCD6TnXuNX2Cs8JZ5ealzvLkKQkAICIHJicDJ02dgFJ258gKVHBoqJjRY2txLzJChNiQQh70KyZ9CPmiIPp7ePM9ttejRtr7UDq9YEa2F2YsJZb71QBKWHB9iUrnRxAhG+kTo/oEHm2IvDl5wU/d0Df3qU8c40spZdQPaRf908lfcRnpKtRcCQkAICAEhIASEwNgiUJZgxGBsR6SzDSDw1KlBzj4DB3JLqQQjlbmNxv1BskkaAYgLMDOjxwM9oc04QnoQryvSnaCL+PzKFgSEzErYSHECuUfb1t7TX1vTBoNH3CcMmPLgq+WOWq6p84kMEgsaMoUhar1VwrxlAXrR7P5U11gawchZrNXz79hNIClveOGsej+FEYOe8ZlrgUF1yzDzMlQkl2CDJOAVNsgyvR/TKE6v7ebyrXlIMFo2be82VoidhaPFr4VL8zGEqWRip2DXzWIFEYxJrFQjBISAEHAEUtlFI7I45GYFC2gCTVWInrBsEySISBPtDcIb58VT9xDNw1tBGPpryAMt+lErUM8zH/2hLZzxmmD3HfP3xczCXU6HzZdXt4aVq1v7YDUJ90EY4YIpYMLmo1pOJRipHNWTqnMhIASEgBAQAkJACIwlAnKRHku0x+Zck9NFmomGsWqEXoRhC/Myc8jZRYLJ4z+148iTeBATKJ5PBM8pm9Egh/jSqgO4WdnMiHrcsozZw54yagq6Sm7kpoSTpCtITj9X1mdtWg7rhBiJmEH6wTHi70ywwbCVp8vE2AJPvXHOAOUIq2lO0DQJozVCMJIbxfq/am3kE20TN6vBkrhVZGe+6awjdnGCMXYWei5+LYzWBsDf320/HF5mrOxmFGhFnEmITaJimn93zFi7QkAICAEhAAK4QrsoLrUwDF9py+b8lcEMXiraLJbxkiWsB+9NIhiHOVzMnhUx08DD+6X2QKX5OM+oi2JosGZnb5z/2J3Ov8F/kpSN18SiYFUuq+cqqZeLdJV8EBqGEBACQkAICAEhMHoIKMnL6GF7rnomfmNMxMjuhE/ywkTDCEbcsiAYVwTJUIxdfM8DjfMbjtV1n8Jjy/JR4hBtmaZR+nHUqC0jGOH6UFDYBGfhvmNIOFBWTK/pogdmW+4KbU0gGIkez0ltvmOny/r0Q9owS8thbQkbZf3z1wLXw3CG+snzp9eYJSycW0IwQiHaLhM6S8QcMoG/2jLIQ7k4wRg7C6cufi3EtPQROreZCpGbUTAFJsCy6Z8QEAJCQAhkIZAjXxy2iHFdW6Qq5H3HOyXrvF5PmFyMUSpmRQjBHQADckB7k1iBjC0Y4INg9fZ25pV31544x8iK2yUl5T9ZY8qPLHaac7dLPpeYiJFdJXk5dx+IziwEhIAQEAJCQAiMCgI5IkZleBkVxEe/U+hEdIzwimwUJjy7CKL4ZBmz975FkYt0GCWeOQuTEQIxwQ3OaTjGLvEJCXyEBIJwi8SBf7i1l3kK9eSghFok6NOnlu3HLZq/r5hWQxCquQ3HzJF5dv2xG7cfvm3XUfOYRlnHSQmcSFoZTvryaeVdpG0WxrnYZpWkGllfhzcEekVTMGKJ6NHa2l9Lxwn56ZUWrdEJve9viJK5IL9Eumk2GHcHYa3c9Zujd9cMzOOgNPE1C+duybMUvxYfHoXiCkYjGLPwUb0QEAJCQAgYAjHmKiliHF6sv3/6S5QrbVrwasgCnNeHPectrXPSbO1ZupI0ZMmj1KBy5JUKo+gBQHhZWJ8XL9hLZA8yqfEKZqHNJPG8Ij1kcWqHVVgJnYiOkQ+LjYLYxSr8jDQkISAEhIAQEAJCIIbAydN9dZ3/+cTBNZa0hQK7VMbMfPepM6dSOUYqOeRmKgiBakbAk7ww6WCc+45F+SWZquBgiyjx3tpumDQCMzIxwYf6ntpuzH6xuYPy9Vs7/23DIYzR+6F7JK4gQeN/v/3Izza1E0oRe+R/b53X8JttndhACX7owabzptYg7XAx4cumRUpCOECn4LIkHJgxUbIZE3+ZMeVASrdu6YwgpKhXUjBlo822rN4IRh8bQzLP6zBBDEIRP29IMKLP9HoSvtAhRz3fdPIsxa8lHDPRsfwsyUJoKYIxiY9qhIAQEAJJBPIJxntru+4bVqw/FO88ky9euDd5xlgNKkdTueNYHTvkuyaYz3nxWcozXr7e5PZdR2MuA4wH54Jbdx6tktQtPlQVhIAQEAJCQAgIASEw8RCASCTvczIfNJU5HCM44CsNo0hKFzYK7E48cHRFExgBOD3jpuDEmOmgkSD2+2cfbvnWo22oGVEqEsppVWsfExObMWHMNAe2kAJmOFZvP/Ik8xp24c2wqe0+Sb5jGkI8vnPB3ivXtDLJmlnXfelDzSSqZtZDh19Y1YL0kSwwCDJQCZqEkh4qQjA69YdDd/jB+Vk4kRGM551NLkNNjGCkxhSDYVBK7D0DdegijVDTT3RDiWCkORv6TOqTZxkewQh562dJFuyM9peomEkD1QgBISAEhEAMgZiLNIxibFs29DwvnIIoxOjheemwZhc7Y3KXIMY8um2NL3mUml+W6EpWu1KPUskblh7On14bGrC+RsBhPKx5+ZJ/DREjC22hgcpCQAgIASEgBISAEBACo4RAXefmJLtoNRwapZOqWyFwzhGAADRWiqnQ1sNPMh4IRmpQJ5KJEhUiuVSuWNGCOzPqPlg13LWYsHx6+X5sLl/eQnxF0oiQphmx4jceacMemR+WxvKRcxkqEl9pSDYkFrRCFUksKXzByLOJaxizHXqgK2P/vv9Y5Jic+q84KRcqGMP5VJJg9OzVDMAIxjDjs8/mwAED2zxhNHJNr/zjzoHw+3iCe705aCfPUvxavCsKxWMwumN4KpKqFAJCQAgIAUPAkrzESMUZtV2+DSPJi/Vsy3D5ynOzXF+K4AEhGUbhCD8gsqFxlBdrY086XcnK1/NLET8I0BE2VFkICAEhIASEgBAQAkLgnCCA/jCLYMRX+pwMSScVAmOAAOQY5JWRb1N2HoHxI5kLjOKlpVDw+EHjZgUxyNTmwln1P3jsEKwgcgvmMsRdJOITkgkiKPLXsr0wmUImYVkvyYn5nXUHYSbx/IK4e9PcBlSLxrbRIeJGxIFcIAEeGQD98xfvraxLLk7KoQOhK9uaegYSTBchGF39SHNAsMGQrcY7hES1SsPH6sl6Y5VcEcSpVcKpWmWlCMaCMRgZAG7ahNtCTQodahuO6kWENDZg/RUCQkAITB4EEDEawdhPKtZ1zTy7rWg5XgQHhIF/2HGENCvENGaFi4DGLJxZ4GKLBFK2ExbpeHGE4XxjTT5Q8hr4SXagDDwC6IEYyLGG2hUCQkAICAEhIASEgBAYewSy2EWrH/vx6IxCYGwQOHziaWYlxu+RyJKT4lcFeUglmkPkixTwj6aMlxYEI/pD+DS8j4kxSL5mojKSlBkbNjym37+oCSLR4hAy1ULWSP3NO46gBiQKPSljLGwjlSSC4Vx4ZJMOxprz13I3p1748AjGnYGz8FAJRoSXPhInLa9a208wAoUPmyiLFjM/5CcRglrzShGMKFjgeJmHIp60+JbAu6Spf/7rg8kqeExIvygVhIAQEAJC4OTpM/hBzzhLKsIuWjKRlS3HOVQWny0dTxL9wx68rO/wfLZlJhbUrLCstJSW38+vt5ZiNi7Ym2XGyh2nYDkvywAHBJb5wngdWZaqFwJCQAgIASEgBISAEBhtBEQwjjbC6r9qEfAwjM++bSc6N8QYyPMowxMy62GKBEX2+ln1b5xTjxYROhEKkc0EFR9e3HTZQ81kbyHuIo7PzIBgwIjKSBYYS25CcxJJE4YRGxJrXrup3XIo0zNTN/gxJ8RyAjAC3fAIxs0dJxx2GE4/l8VgTFJ/IUP4meUD8VTv2B3pPNmIZGUdEucwzN6C1JN6c1IzS7zezDJ5luLX4gPOKiBTtLNkGXh9EU8960p/hYAQEAKTDYH67pMwinPru9gebjne0F0oki0RidHq85gl2IjlBQM3ou/iGsASmz1+bTUtH8+2vtP0wypYltSchT9745jyP783HRUCQkAICAEhIASEgBA4twjIRfrc4q+zn0MELHuLiRiv2RhFQYSXwxeY+dEli5uQHeIlzdyHAIyo4N4+fx/yRbQZzytFfCKjdJQe+u4aqLm3zdtH8uXbdh2FSyRgIApAtjAiIkpIpHdwlWwWJ5B+mILZqVFI5oBgWTJtvpaTTJMeXG2IcUgwPue2ndacv1kEI7lp3IYz+nhQWtrkzl2kOYRixPNfk7aGGsOEHvAN97ZJgrH4tfhgsgpOG9okN8uMepymfUgqCAEhIASEwAgRIGQirwyeveRSSXZFvjNbsSJCSBf8YLl/rNbxoLZXcKot4Y4xIMBI6lFVCgEhIASEgBAQAkJACFQPAkryUj2fhUYyxggwD3JiChrN/JTNlxnSD/6QCRTe02QxRqN49YaDhFh81T21NCE3JYEByZt8wYw6pBfUY0YoKg7hPQ2x9v0Nh5gNQYKhcsSG+teU/prL2OPtJ0JVYU2uYoR01TZIWMo1B/Li2DvBSOctvQMxGI0hZJBsFkvfhkS3yCzru6Pg+X4WJoZoLMMPAt0IVxfmc+EoIfe5QK79qyWHaFyYyQgzdU+UvMb/5Zyl7LWg+YTOtQtP/Ytw1E6EpzmO7VDBsLW+hU3+vDszvqUPVQUhIASEgBAoiABvQ56xJDvLskfo/g+lB/iUJ45k2Xj9/IbICZr3Zvj68KMUth1+EgNWysLkZaGBykJACAgBISAEhIAQEAJVgsDJ032pIkYqOVQlg9QwhMAoIWARBSHKmL8gk+AsB/pO49gFWWd8HQHkjRtExIivNGZIGWEXKcAi4vUMtUUZxSNZpGHb0GzA2rFLJRHvEUMSHgpmj10YS1Je8s88he2kOfmj7ZLxp6ZVARnIM6gTcVVjI7yktbW/aEjwXAtr2INXDBPBcJRToFcMzcqWSfGZE6kreZbi18KpMWY8sQ2ClA+I8+aPjVbYwIIyM+0b4kXl96yjQkAICIHJgEDOy+CV06OFNp6uOThY7hVemjk2dog3hUnolzZH6c9S/924/TCkZeohVQoBISAEhIAQEAJCQAhUFQIQiegYyRlt8RgpsCt2sao+Iw1mlBCAi4MPZK4E3UcykbVtEamOshFKkF0CyyNotDSX6CvYECiSZJkE0C+Zuoe0la8u6RIRzhGikE7wm6aStrhC8xffavK/oCeEhKQTC1QVZq9+zp925aR3GaVLVrdCQAgIASEgBJIIsJhFWF3WwpCys1jGatqtO1MU4M8tLavlL3sRXNFEjE90licGia3BCxRPgeSQVCMEhIAQEAJCQAgIASEgBISAEBgvCIRpkfG3tSiF9+/rIXEJ2Yr5izeuJYyGcrTYg+SGRoX4uZUtuPHiRg3rOGXnEbx6jX787rqD+AvDK9KcAvMmPILrSp7ISD7CiIhl5YvjBUONUwgIASEgBMY1AqyssTTGC4uNN52FCKaMQ3R4XWjCqeRtGFamlolOjGUYmDfVjEpISCxZlbMYxVlmqhcCQkAICAEhIASEgBAQAkJACFQzAogYLVqg+SxDHprbL2Qg4kYoR2hDnKYRLqLoYBKEtIPcyudPr71odgNl5kSYIWi8am0bu8zLcB+DY0S+yPaCO3dTSXZpEMBp14hKOmHjpNUMi8YmBISAEBACEx4Be9/hnsyLjI2YwxaDgmAUvMjsbTW7/pjjgHCRtx6vy7JkIHFFaI778+AQHd7ToALO1Ej9V7cqMs8gWLQjBISAEBACQkAICAEhIASEwPhCAOUGEyumQqbZIDOLTYjIxfzmuQ3UwxOSAdlsvvVoG1lFIB7RIlr+FAxIEk0yEQpssIg4U+Mdhj1RGekcNJisva4kDjEaU87R4+sbotEKASEgBCYYAnu6Tn7gwSbW1OAMeaOxIhZmB7OL5X3HS41gIGFIRpMmzm0YYB1TkfmP3V32TixrSXNE/kMNApx6UlUKASEgBMYSgb82R5kQyfM4lifVuYSAEBACQkAICIEqR2Bj+wmbChnHSGaW9lKqFEQa31538Ly7a+wos7DfbuuEb0TCYTXQjF9cdYBQjQgdr9l46E1zG559W3QI32pywdhVo2Bk7kalsYsUHms/UeWAaHhCQAgIASEwgRHgHUeUD95Hd+3p4t2Uqh4kQRjvMmzmBHQiCc6ouXJNaz44zLgxY/vw4qZ8Sx0VAkJACIxTBJgC8JSbUdc9TsevYQsBISAEhIAQEAKjhIClX+F3gnGMeDqvbOlParn18JOfX9lCzhemWpCNTK8sGCOzs5dNq/nCqpZLljTTkHzTEI8wjdduam/u6c90PHVPl2WadnYxNWz+KF2UuhUCQkAICAEhkIqAvbkI8YHAPtWAyh8/3s7b7f2LBkhCsqFRw1IayvysVtTjIo2Mn5cmkYrJ+ZJjqUNCQAgIgSpE4P7GHn7wL2rsyRmbOTohCM+x0SEhIASEgBAQAkJgciIQ4xhhGr/5aJt7jXWfOgM3iKARRpHZFsEVmWSRzIVsL4RkZIJGdml+jRDU0dBDuIi3NTZs7hktdnFyfrV01UJACAiBMUYAv+Z7ars/tnQ/qnvE9qyL4fLccfYNxWAW7jtmb6hPZGdwbuo5zauQN53FZrRLwCWQhl9b05Z1ReSCIbvZOxfs/cYjkZP1r7Z0ZFmqXggIASFwDhE4efoZNvtHTFq02eRntEBJN5Vk2Pza5/d/1giREPB0zTyc1Uz1QkAICAEhIASEwORAAF9pi7Vo0y7+EqP+3x87tPvowOokPzQQKO47dmpdWx8sIvO1mJBjw6ETX17daklhvB/iLsozenJ8iXSVQkAICIFzjADkoeUv4x2ERpEwHeYQTdkny8ymbaXs8uUtOcMlZgid/GLzAEm448iTUI4snBFoMbUhMn6a3L7rKPp/CiRKSzVTpRAQAkIgH4Gep86sP1T5sEK7jp5kwcVCQKCyJrTs/FIgCHskkueRUUEbvmFOPU8wLFMHiQKBo+SoSj2qSiEgBISAEBACQkAIgABpWXxeZu7S/H6ALXzfosYbtnVCHvrsLISLeFYPt/Yyq8Jdwr2hvTkdhrqRsKHKQkAICAEhIAQqiMDNJeENITvIBF1z1nev4fgpogTzOvv6IwOT5e+tj1JFv3ZmXc7ZkUFiA0UZ2vy0RCHyjpvyxJEwTzQa/k8u2489uc9M1SPnwRA3lYWAEBgSAhZlqLHn1JBa5RjzXLpiRQvPKDZyMpLoitBGlrTxS6sO2HoK0Y2sB5ZI/vstf2czyjHW7ZKm43RCGMZYvXaFgBAQAkJACAgBIRAiwBTpB49F8aPsF4jzhLaLu9k/z6y7eOFeHKXZ3rVgL/yh/QQyA/56E4SL33/sUNi5ykJACAgBISAERgkBInWwyMV7ColO7BRwfbCOvJ7Q3tshbHhhIeAho1nM2HfJ7/y8UqqXNQf6vJLCb7Z12isPzQ+ZziAzL1vajOafShbacjoMO1FZCAgBIZCDwEWzo2URJNk5Nn6IkA4L9h2DHiRrFdJHrw8LFreB3+331Xej4rZ/vU+doZ4n53Nvj3758zTzJrYKwzPNa7xw/dboGagU0g6ICkJACAgBISAEhEAOAkYz8uPBNiZlTht6ZayAgcsXOQS1KOFiDsI6JASEgBAQAqkIIIm/9KHm/PwCqQ3J2szbJ6shch2OMpX2tpakIH+OTLhFWhFw2FtZgRk68cpwl+aobYRevHH74eyIZbEOtCsEhIAQyEPA0jTjH5Rn9MwzK1p6yVqF1NCfRYgSp9XEYzgQ1QEDDnkqxrBbC7qIAc9Jr4d7ROhIJTEfvNIKn304UkLGVl5iNtoVAkJACAgBISAEhECIAB7TBKi3KRg/JGyDRTS+0f6GpCIGGP9yS0dNd1w9EnarshAQAkJACAiBLASI/cvbhClzlkFqPYIcNIrI7zPEO8+YHIj5tXOAlt3s9dmJpDnRpvYTDIZuU0VBB/tOT6/txpN6c0flQ6WlXqYqhYAQmCQIsPbBw4eciTnXa2EZMMO3iGix12w89Onl+41shCoM4xqReQqzOaVwi8kO0TO+dV4kmESVHR5lvYZKAjZ6Gkc7SvRFfv+H/YetVBYCQkAICAEhIASEQA4C/K5gIobrNPwhm8dppGA16BVJEh37+ZHToQ4JASEgBISAEEhFoK77FFNaMrMQ4DfVIKsSFz8khfg1xwxIRsY0nOkw6aTpeVZdtxkwO372bTupSQ0y5p0QGASbP++Oa3jcQAUhIASEQMURWNXax5PnxVP3fGfdQdhCqD/EiuFZYBQxePm0mp2Dg0IQ/4Hgihwi66LZsxTCs5ElGE8bHfZjZTsdrWIP3o8tjULLfmHVIBU3ay6cN9mJaoSAEBACQqCCCJw83VfX+Z/b2h5mo8BuBTtXV0JACAgBISAEhIAQmAwI4H3MlPa32zq5WOjCpc29RQIbXjirnml4uNRFK5bGnnPbTuhKerMUz6QtcwzJIs2Jrlo74Dfth7yA4zM25Fr1GhWEgBAQAqOHAClXyD/1D1Oi5Q/bcBoi29T9+3r8pCSYppIo6MmQs9i09Z1+ydQ9tDVOkjzRZR9iiMAttfRfmwfRmCzQcBYWaNa19U9s9x2L1oA+srjJB6OCEBACQkAIVBwB6ER4xS2tS31jVxxjxXFWh0JACAgBISAEhMDERsDChf3TX2rx+LMgYIQIK3vJMX89HAxNsvihB5t2lxQ+5EFgSo6Sp6X3tPVGvEdmyqHfdPIsxBN+xbQaHLeTh1QjBITApEKAJ8Znlu/PD9xaBBDYvJUtvT/6W/tXVreyzEHOFLI2e0PiNpBeikUNy6LI87AvIcy+ev1Bnl0kmfJWsQLZYTC4cGYd9TCTlD/wYBlKkOC3mDGYWFdTdkbO2nRlqWFIp8UuD+eYmXaFgBAQAkKgggjUdW52atELVFbwFOpKCAgBISAEhIAQEAITGwGm0hYdkTksG1Psr65uzfdijgHS2nv6PQ9EKV1w4oupcdAFUX/d5g5vAnlIDUlbvEYFISAEhEAqArb2EaqgU81yKokB+/0Nh2ztgyePbwROvKGk2aZt19lAsSyOYHBbIscKNq+bFTlB5zwYIQPJPIUNWV14DFJ4y7yUfNDhUFFOYgbhGVZSRkZOQCQOIedml/DslGfXF0pvHetKu0JACAgBIVAQga0HVjqv6AVEjAWby0wICAEhIASEgBAQApMWAYSCzLuv39ZJKEVmr7bBEyZjKuZDhFs0wcpoDi1JFtSYMRkTOISzodf/dFM7Ne9fVEbb4/YqCAEhMGkR2NLxJI8L4iIWQYCnDzJCHkQb2/uTQOG5bNERz7u7hugN+C/v6Tr5ePuJnzzebplZZp6NEGv9W8arrz8Sj+FAKEV8lp815e/JYbBAw+ngJGllT0LKjx2MklWVjZr4zUfbMDPRY6zn7Uee5HSEXkT+bZEl6rtPxWy0KwSEgBAQAhVEIJVgpLKCp1BXQkAICAEhIASEgBCYeAgsbjrO1JW57edXtjALZrpNKhZ2kS8OlWD83MoorCJujKko2dQYA+I6mkFjzynzm0b3mNpElUJACAgBQwBpITwbD5DOkykpqGq7T5JT3h5ZBCq0WLIY/64k/KOHL5YkgngiH0usfZgbMlFkQ6jhG2n+9vn7wkrKUJfUI4OkzBMMGpMAs6yevOqeWkJAcMg2Ys++ekbdzTuOoGYkEASVO44MOGLH+mT3gyXBJLlgzBU6ZgAjSg8fX7ofD26WgWJHtSsEhIAQEAKVRUAu0pXFU70JASEgBISAEBACExgBsrGYJ+CaA31MaZm64r9MJlO/ZCbLVE6v6fKasgWiLNIEWjIrWSqSHlMQveDO3R9e3EQcM/pEvvivDzQ+0XmybP8yEAJCYJIjAGXHQwbxIRK+OQ3HQs3he0uRGRAQwh8ik8aM5wxRFs2RGcoR9o9EKu4BHSKJ3JpFFnSJmHk9+kY6MSLRK63wP27diejRgjRiY9sL79x98cK93153EFduxJZnPa2jFlesiFZefpgdOBFjW+XBLJWHRBt5/vQooATnxWM6Nh7tCgEhIASEAAh09O3/r46NODKzUejoTV/vLoIV+VxiIkZ2leSlCHSyEQJCQAgIASEgBCYVAn/efZQcqcTy4qqJDMaklbiIMX9mi/QVk/Tko2QOjFmegFP3dHEikq6+pkQRUH7Xgr10mCrXyT+RjgoBITCpEOh56syjbX23PHHk/OkRc2g6RgphvIWrN0SJV/5Uck+m8Mll+0OKD06Sypzky8ZJTq8diAfLI/E5t0WLL8RRjKENl0g9qzCfXr6fR+WSpuP4X8dsbJelHAoPlDKzQEtmraQgs3z2bTv/uRSlNmtZx2I5cl78vlPPpUohIASEwKRF4Kkzp2AUPViiF6jk0PBggU5ExwivyEZB7OLwYFQrISAEhIAQEAJCYGIjgKSHWSp5opntUrhsaXPyeg/0nUYqg/9yKOlJmoU1CBdNDEnMsbCesukkUSpSJk4jnozrD8VtYk20KwSEwKRCAEIPXSJPpyQLF2ae4pGFx/HlK1p+u62TvNIOEbwch65c04rmkGgMsRUTsqLwNOOo24cFHkfm3QxLGda/YU6UzIXEzWElZZ6Z1E954kisPtyFFEWzzVCt0pogFCeOYmhGeXVrH5Tpjx9v/866iCM1aXfMpr+TUhhbHLpTj6pSCAgBITBpEUhlF41m5NCkhUUXLgSEgBAQAkJACAiBSiGAgIcUBtB9dYmMAATyYiZLYhe8Ak1jkzypxQRj2ps8lFWDQyLdojLivGZDtDTyHcBVPu+O3TuPyg86CznVC4HJiwCkIpSgBSrkAcL2kql7cCh2khDlM9Qf8kILlsjjKwkWnsU0xNGYp01Sc4hndDLtFMmt7th99AMPNtHEzh5LUU1YWvr8eZD43s57b20UnjFf4M2qCjYewpEBoO62Ef5icwdHtx5+cmVL76VLmuE2yVzD8G7fdRQDokQmr85qzNVaqzNZ+KheCAiByYkAntEuWUwtYDA5kdFVCwEhIASEgBAQAkJg5Aisa+vDGdCDetmkNaQZb9pxhEqc8i6YUZd1OkKcYZPl8pzayrNIw1vSkM6ZudMJvoQWCS21lSqFgBCYtAiQvsRcnlH3ffbhFtYj3rlgr9V8dElz6OYMRGSD4nmCr3EytAI1pqC+ZHGZrPRoraHyoP5MtQi5R8LotW0RHwixGX4Qv98ePSc/tjQ+M+0+dYZzIYkM49aGDSnjyEzbUBLZcPzUp5btpxX14UZgSfJE02R+6ZGbw1teOKue5kmmNHZq7QoBISAEJhUCOfJFiRgn1TdBFysEhIAQEAJCQAhUFgEm4ORPsdkr81bSOjNnx2eQGug+n60jLLTJeI5aBmNT9RC+rPggcQAk1al1DsPJZJnoi0k2oHiHshQCQmCiIoCXMY8m4h+yJhJeI7pri3NIwpSwnrI9lNA0xurZhX+jt6+taUse8hpCJuK5jBlPpy+vbkVJaDpJWEdjNVklcWP4w+jJeW/KKoxFqT1vak1o7w03HDpBb4RwTMZmZKkFPhPi8bvrDvKXyIqe1NpO98Y5KfpMekYDyXoNcRr9LCoIASEgBIQACMSysSRFjOR8EVBCQAgIASEgBISAEBACQ0IAZ2dYRGbEeDebJMaaMzO11Co/2zTg74wsB0um5Dmn+NajbdiQyCDHJusQ826fOGfZqF4ICIEJicCm9hOESUQcSCjCrAtk3QER9bOm7NydxhbivMzDJ+kNTXIo6onjmuwWP2sOoYFMHrIaDmHw3Nt33bzjCMmmY2aMlqO4LXs9DzFqoPWgH2P/aHxxaSRwjAv2HfOjXO9tu45yXTT89dYokVbxf3NLCsaLZqcnib5hWyd9QksW71CWQkAICIHJgEBZghGDyYCDrlEICAEhIASEgBAQAhVEAI9CZqDfSJtfk4OVQ7gWut6GzKfUIDVMzLMHRgRLaa2gKAdqVRICQkAIBAhAFaLow9nZ6iibGpCnB67HgeGg4sG+yN85KwgDnN6Muu4k93jV2ogkJH7soL5KO78pUXC4IScPUWME3fnTa1LVjxi8oJQb+sbth8PmL707CpyYquJGrX3xwojtZDvv7poLZ9a9eW4Dz1h2/2HKzrv2xLWXYbepZfOqRt8YHkWUjryTSiDFpzsJSGisshAQAkJgEiIgF+lJ+KHrkoWAEBACQkAICIFRRcDCgj3/jt1Z/sj/z+27mPnecjbzKYwhAceouX9fPEdqOM5/uS/yOvRW4SGVhYAQmIQINPacgvrb3DEoETzsHFpEVitm1kUJUJDw4YAML5f1OAI3MtRjiatyVp6pVGxN2UhmluTRpc29dEgsx+QhauxRRpzD1KP2/KQ5YSVCA8urQtwJEscgeoy5cmO5qLEHzSEEo+WMhmMkvXVTT0Ly+MwzyCbfOq8h61kKc8jTmwHgXh0OANk5lWyQliwQhYdUFgJCQAgIARBQkhd9DYSAEBACQkAICAEhUFkElrVEk2uco1O7JfAXiVcwYJbtBqhiqLlkSWbSUiwtbStzZybg7KKAzJEkec8qCAEhMFERIHIgz41vD/bVNX9hWEdiJJIyPknEpaJhURPfNm9fjK5MNbZKnK85O47JSZv2E5FHM0RcqiqbmLQcjdF33sm1m9otKxaKyrA5MRJpZRsJViBOvclQC1CR9MNZkuCQGNqWe/DyjnVLsmke1GTQdvF5zEC7QkAICAEhkCNi5JDwEQJCQAgIASEgBISAEBgSAk90nmT2mkwBgKchvoHIFwnDaO57Hp6RvNI0QXfExDzrXCeePmM5EcgUc/70WlhKRDhZxqoXAkJgvCNQ03WSCIfJ7CR+XdNrunhu4B3sNRQsXqtFQdzYPkiDF5rFyiyLGK1HhzCTLH9AVH7owaZPLtuPK/Sfdh1NBmfggWa56VMJN3tYpeas/0gp+9U1Gwc5INt4yK7CMK7f2vmyaZFDNElnGIMPlZiKb5rb8IY59egY4SG9fhiFS0tRLHiKsqyDI/nvth++ev1BTsdJ2UBPoSiGgaqaCAEhIASeOnMqlWOkkkPCRwgIASEgBISAEBACQmBICPQ9fQbqLwz8xVyVHKwWQ4xszjg2Ep2MaSxUgPf8jvn7qMGnz2uSBaI1GgmAeod5N7tJG9UIASEwMRB4Zyl3CU7QWZezoxSalSzPocGfSzlZ0PjFiMfQJrXMysiVa1ph9ggwaDxb+JdnDj7XsYakdcYGVjBWz+57HmjkEJnrk4dIxcIhMjujJPSjnSeftoiRLM3wCIU7JSwtZjw23aayhT/sOGKJsDmLbaz+4JcN1yp2sbJQqzchIAQmGwL4SsMoktKFjQK7kw0BXa8QEAJCQAgIASEgBJII4Jf3vfUHL1vajKaF1KKhy17SOLUGDQ9TZiawyGM8yam5UTO99Q5hILFB3JjaiVfiHw0PkEyl6gYqCAEhUOUIwF+xOsD6Aqq5H248hGAvVbpMliieCZ6xJXlRhFU0Fo4sLX4UH2ejy3ikeOWQCsRgYBGEDCyPt5+AA2TVA90gfaL3W3NgEJf4saXRQgnyv2T/JFnmUGqqZYZtftwY4JqNSBI2Ev02u3hPc2rrDc1kKizJc42kZk/Xydn1xxY3HcdlW8/VkSCptkJACAgBISAEhIAQEAJCQAgIASGQikB996l3lRRETHt9w++PBKmp9qmVGBOIjLnzjx9vD/M/4++MxIhu55zNdND71BlTJxb3akw9oyqFgBCoWgR4CKDTe0XJ/9efKhS494nvF/M1vn3XUQ5lRXO1a7TYiaGYGZbMMkfPSggOhw0LjOhnH25hMJc+NChO7HWbO6jkULLnu0vu2zCHyUPUgMM3H2170Z1Rcis2XK0J/whRGT4kUxuqUggIASEgBISAEBACQkAICAEhIASEwDhC4I87j+LBx8z38hUt99V3o0JkCv/FVQdML/STxwuF/zJfRRwYPdZiiIAFGQvZgy+siqbwX13dGpqpLASEwBggQJjBjy5pjin0RnheeuNZgSOz9QNNh1qPexx3Y25zkqSQNwT/YqhFliGof92seryD/aQICKnM9xG2WIuQlt6KwgWlLCo8uMLKEZZ5BjIYZNhhP0klth81e1ZkvCa1QAJr5JeSDqaCo0ohIASEgBAQAkJACAgBISAEhIAQGNcIkKCZKGTE48JvLnYhJG62sF14NcYOxXYP9J2mB5K5pCZLhUR4/h27mbAj3YFkQL7Y89QZOqeGVugbY71pVwgIgVFF4IoVEb0fY+pGeMYLS7ERGo73+/yS7tk4uo5ELiccdY0V/PTygUBVPAcsi0oywYoPjAcRfYatOPTxkufyjWmey94wVoDMhKvEZTtW77ukV+ZEb547KLEUxKDprok6iys3oSRcNknwB1hTnnLDiSvhZ1VBCAgBISAEhIAQEAJCQAgIASEgBITAuEWAFKVMpW/acST1CuADmfXjhOi8QarZlJ1H6ATBUupRpE0cNfURJCRqyZtLp0Mwie5Rep5U0FQpBEYPASIN5tywyfOS+Z3YfawLJA9ZDQe4tVkvsF2eG/QPHUcM1dQmrGugbMQmTIzyqlJe49VpWVSsk6XNvTR57cxBsVt/UfJcJl9J6olSK1t7TxPJgScbksJUAyMtv/7IQF4qMyNVCgPwLcwNPQYRFFOHqkohIASEgBAQAkJACAgBISAEhIAQEAJjhgCuiOgGk6eD3mOyfN7UGjIRZP0jehg2X1p1IMuAept3XzY4ZJnZI0y6aHYD7pCEXIMZoCscCQlZltObDgkBITCqCJi3b9ksSzYGnhyWuYkMUFmjqumKniRvmdcv+cMPml1EjFn21BOEEBuSR7sNmkBqshY7MIMYxACtYPgwe6Cxh8p/ua/e+ylSsPUOnKBruwdRoC29p41dfPm0GpJMJbvCnliyK1t624JcM0kz1QgBISAEhIAQEAJCQAgIASEgBISAEJgwCOCvx0yfqbclLX3eHbsvWdwEqegX+FDzcebmYWhEP0Shqef0tZvaLUcDPTD1Do+GZQtBhoQJniGsx9vx0iURaeC+hJqVh/ioLATOCQKHTzzNXclNzboDNy8ywkfbBmVMjo2K0AfkaULJnBphFWM4Nzq8ck1/SFXTIvJ4ifUT7rLiAFVItwRYsPqfbWqnE6KzhmZhGcIPAzbG7PU8l6hBD5nCBrpRokAsxDfOqachF0V+q6vWtrGG8vb5+8xNG6aUvNKJRqoQAkJACAgBISAEhIAQEAJCQAgIASEw6RAgpuJ5d9cwg8ZREZkQU2YLIMaE+j929wsIp5eSn35jsCcgmsN7a7vJiGqpn2lFwpd1ufwD4EJdci5kP7hSEnUN38NbnjhCzhcqPz8U78VJ9zlV6ILruk8ubT5Oqgs2CuxWqGN1M6EQwJMX3o/oi5ZphacBdygb93j+deIvjBnpj1PNflriBm/dedSO2qOjbHjV9y+KHho8KKzVwn0RSwnvl3oKq2QVA5uYBNpCvIZLJzk9+CHIVS7qxVP7kzvTLSzlhx5smiZ9tWOkghAQAkJACAgBISAEhIAQEAJCQAhMbgQsLhkKJQru/oxk6LMPR8kdSA9NkDQQum3XUXY/dTZ2Iplev7amDaEjlf9XyXvxrj1dqb7VSXSRO+L7TMNwo6tfbx2U8jXZUDUjRODk6TMwivfUdsU2Kjk0ws7VfGIggHIYh+UL7q17x4K94R2KjzC3PMSgZ3/Oul7UyHaD+/JEaPmxUqYVz/FkNGBZgpFUKQzGIxnyDGGXFY2sby3sqA3+u4Odr1lAoX5G3TATSZN0Br0iSkjFgw0/U5WFgBAQAkJACAgBISAEhIAQEAJCYJIjgJIHeRLknrGIMTTgGM+fXmO5FTZ3RMlSL5xVTw5WC7PGLiEZf7jxUH33oPQHqHrInUosx1hv4S4hy67ecBA3w1fPqCMeI5lcchLChg1VHgkCqeyikY0cGknPajt+EYBt+/LqVtYUuIQlTcctHTx392dWtBD3YMG+Y0gW2c0Pkxi7fMTJNKGrzlK34VHCOZKM3p8PZHvBMmkWNqFsPtFhNucXlDTPG9tPxCxtd37JEZue0VeHBmiwqYSuDCtVFgJCQAgIASEgBISAEBg9BPBZY506a8NPhBkl80EC6eQE2hq94Y2kZxad/bqYL4+kq/y2M+u6OdG3Ho0nFsxvNV6OQiBwdfADVTvgiY1/1cKugY07BN69sJHpNl6QqSMPRW2UzW8ae2SNZDfAfTKVQzRvaxGGqZCew0pcoWPCxdiufKXP4aczeqcmoXNaBpKBE176UBT79OHWXpKS2D1OEANCH3gmaN74GPCsGGhToGRJ57+yuj/WorXgMcKKBmJI78ACt+bkgzZLE1oT/9AbXrEikljHBIp+9L0PNOJAjVs3WkqvpPCnkhI7K5ZsaKmyEBACQkAICAEhIASEQEUQQI7Cz7aCGwG6+YE3XphGEhn4dQ3bR6YIyPBvnIhpeBHjcWdjvpOonqp25BMb/6qFXQOrQgRSOUAbJ5olHlP/eMfugq7N71sUsZHMzU3slHWxL7ozcn+ucoJxZ+eTixqPhQwbuxObYcuRL0rEmPVlHr/1OB3jofymuQ3cjGzEMUAryLJgUitoQRFRJn9kcRMREafs7I9z6NeOTzQ9cF97TZFCY88p6Eo6dG9oWu0sJaMPk8izDkvnrFzn98nYMGOQbja3pFHkFMmAir/d1okxKkocvSmwaO6tWFlGgJ2T5NotVRACQkAICAEhIASEgBCoCAJOMOLewq/TcHvDnPp/+kstK8JQZ/xs843db5JZMNcnriJjG2EnRQhGYvucP72WbSThu6uW4KrI1YlgHPb3sCL4D/vsajh5EGjtPQ2ZQMAxJuDkNSAfAQql2OU/djDyeiZzdKw+a3fNgT7soSmSHIU3IUAZNiw8eU21FQg2GKMWYzTjRI1GOKsuHnoxvHDK5Hyptg9L4xkeAtyqLBxwJyLhY0UAdo5HgTkjP/f2XXfs7k+wYp3jBI0lpB8/5FLjoD515hn7yUc+5SGN54YS0fe6WfWuhca5gHPh7+z92FMI9tIFk37ICwyAYcORNvcMDIBKYizQ28um1RAhlh+uT3SepP83lzhVnL5pjtCaldDHM9yovX8VhIAQEAJCQAiMIwQ6+vb/V8fGbW0Ps1Ho6N0/jgavoU5OBJxghEfKQoCfdiwE4yhNJlB+4NkG/cisNqtJNdQXIRj98v+wI76OX/wSqpZgrMjViWAs/k2IWVYE/1if2hUCMQTCQGoeUQ2KgLgWoeU9tdFkn/SsYWV+GbKCJjmvBtJAYxCGSsvvcOyPLmoaJFyMkWzsQj+O/ajG4IxlCUYMxmAYOsVoI7D9yJNwidBx3IYhI0feE+5c6v/7LX9f0TKw3EAad+5ZpIa0ymL5LpwZSQGJijCkwcMrvn5WPQ1vOvtr6kd/a2f3/n09YT+sR1CZ81QhFCQGLHaHrSjzg5O1YA6FGw+6n5/NV1VQmx3rVrtCQAgIASEgBKoTAaKewChuaV0a26jkUHWOWaMSAiDgHEjO7z0HCjccYuNY3B5+4xFaJ+sHqjc5hwU0lkyQLUMBK92pI/HLHwnBuKix58ePt/MrN/UU57CyIlfHF4PPuppdpCc2/ufw+6NTVzMCJhMioCIcAvNuhEnmp4yHI5kOuGeZeofhLCwRw8UL9pa9KHKn/n57tOBCV8++LZKvf2nVgZjzNWe/bnMHh1h1gsoo2+c5McAzOskoJmsmpK+0XKTPyVeuIiflXvvz7qPcxQj5ECTjRXLBjDrCCcbuQc5F+iTL4Eys7NRTW7YU1h3gFd3AxI1ENfSaWOHy5dFLP1XfGLOM7ZJunpQuDPtASf1o8R5D2hN7MkzZU+V3gQe09/NAYw/kJ8mm8ZLxSi/w2CHcDcPjZwmqRZJckwXbj6ogBISAEBACQmAiIZDKLhrZyKGJdKW6lgmGgHNQRQhGu3bWkf+1NIHlJ2jOb9QqAYowPowTH6LU8fjlj4RgTO25GiorcnXVTzBWA9SpY6gI/qk9q3IyI8AcHKUQixqEI0OexCw+FrCCXYvGduWagZwLPLd5ErI8lKQpQjDJEAFjCQVhlTw5bUWJ+Ga/2dYJOcDZUSjBeNAbxAWOimHzqiqXlS8a2TghRYxK8lJVX8X8wSC9I6bB2hKlBh1nbr/cXygJiWlAYhR8n9l97cy6WLq66aWELKRxz7qpqcddmrZh2EPsqcHzImtU12+Nohp+evlwnLAsyuKnlkVtibEDQZo8i6mpOcVb5jWsau3jRXn4xNMrW3qJ7QC7yDMtJnpM9qAaISAEhIAQEAITGwE8o2PCxdguBhMbAV3d+EXAOZDiBCMXi1Tm/On97tLr0haaqwcQZt8sqWdpbPzyRTBmfWQiGLOQKVs/sb9dZS9fBqOEgOU7eOndNddsPPSCO3czN0+eiMcy83dSuIYKn/OmRg/tsjHKkCtj5rloN7afCINjcIgNeSQumfn5X5KjGuOapFgxq2aMBzY2p8sRMXJobMagsxRBwCITEr4AppG1g2dN2Qn7t+3wk96WMrENue9I2h7edJcsiVJC3/JEXoAX7l9sCHvoJCTrDtSElKOfyApLm3sxwPsjVl9kl9A09pzBwxpe9B3z96W2ur+xxxyxOVG4EWgRl4TUJqoUAkJACAgBITB5EMiRL0rEOHm+BuP0Sp0DGRLByMXy69F+Fn6ytFRd9vKZ57L4vv7QCbINEtRxeP9Y3GfiHPO4yekKvQ2r4cQ8z7Lxyx8XBCOwGQL4MBbBsCJXl0Uw4h1P9Cc+Dnyvigwm6yPIqqfPhuOn8JMiE2U4pcqyL14/1G+R9zw2+FfkTvExZxXwNeODQzNT15338TFbZG7LnavwVllIDqkeQSCej//+WLo/Y8GuuDXgFXn8vmTqHvRCWa1MuYQPtRtYyERICa9JFoiDAXmID6MTjGYDTUEyVtqiWifJgrlAJptXVU0WnZisr6phV2ow5K9J5RipnKipbSoFXQX7gf//486jly5p5nfIx5bu5/ZJxjbk6coyKLycOVxwfyUHwF1PfAPu+kuC3zPma8yLPmkf1tgCgUdiJHN0rJ/QmDKJmDFgeWJ4b/aFpTwyFg/2G7kJo8k0xBMMNvWLqw6QpoqkUbGRaFcICAEhIASEwOREYOuBlTHJYmyXnC+TExlddfUj4BzUUAlGLo0YjPwKZbU9h/+BxOAXpoUJwtg2fO4+sWy/OQSlQkQEMH6Ku38fnXx73UELHOQ9sKBPELCcH8AEEONEtEr+aiUwEf2zWRYD+kQ2YDX85ed36qiyKgmXRKvPJPyJYleR1Zx6Zhx29tS8jSdPP4NLEXSB+UkZAhCn4M/MJYlAZa8uRjDifcn0x9QUNhL+gjM8c5YyCjy5ujCVJF+YX27puHjhXhwt+WRDZEhZiy4LdRYTLu+fAsqNnzzeHsaU81YF8R/et4izjA3+w7tTimAbs4Ew5LvK5NHhZZbK/A6m0SGlgPMd/mtug9ssdBZzwJg3bthE5bIILG6K1mV4HloExSx7QquRkvXdCxu5s9j48uOVHDJ+3DX20RCFLKuTaSX3SbwU3YC05sZIZIWMwNJWjmBBvdX4LSSJxKya8XuNZUeOrzSMIild2ChMyICTZUEYYwOXDd9d02X5nf1BagWCzMRiC9ivKYKp5oSdYcXtOaWYqE4V8uuLDssu2Foeup+ezebMOi+tcELJgcV+s4Uqyhzj5CEIVbvS29PI0qS9aoSAEBACQkAICIEQgbIEIwahvcpCoHoQGAnBCOFjvyGzXFqYTROBx2z4C2WENsZ3ociyoojDR2HGT1yAYsJLzHBvFZapJEIR/GYqnvwIhzZM9eA2JYD3GSsMlWu1X+9cWmwY4VXEDsV20U/aGJJSBDiBVwaZE+GFQkhpxdHa7kEIVPbqQoIR7R+QOlwWjN13QWDqnpTMpNaDZ5eAd4Uz8VYh2vCl4SEuFhUEZ3Fjjm7pGHAcMxiL4D/sb9HY4D/sO6UItqHNvbXdTi3CVxNL37Hle8XEE0hRLVpwfjsERQ+76GYEBEO5GvsCa7cgAlABL566BzDxEExtwnrBb7d1mviHbz4kAIAb+KESm9UTq7xjdybBCBVsizL2sdrpYO9piL9k6ocIl25ZsabkOl2mjrwKK7PoxGR9FQ5eQxqPCLBwwM3L/cXguTe511545+5/23CINzsLBBCPPOrtjkaETFhUv0Z/5BLj1CuTBbqiz6+u7o+taq9LnthJy7DGsjn/4KxwGu8Dni081XOS9FmiqLvSXuhhz1lllgJtbKR9ybJRvRAQAkJACAgBIZCFgFyks5BRffUjMBKC0dQ4/Nzl52vsSvm9Sw4Co4YgLvhVzM9mZDn8xsbplVTUpAygIRs+d5b8NOzBqTlUjvCQ9ov6r829JpWE5iJl6qtLWQY4hAou9ec1vn5hn2EZHozhsX3z0TYbBuGPrIa/dB4aly0XIbjyO8kiGGG3bDICd8fsgJwO1g8eVWiQIBxs8MR+Dz1YK3t1Rk8Rlg3wjRt52bQafDz59Png+EAZCVSz0yD4UcZwDwku4LUx85eJ2EWzG5zKWNbSa6pFiGXkW7jSWz/8RexBt8ZOc5RDIZ5l8R/2t2gM8OfqwGTYd0oRbN1mSdNxJpVo2JCPggk3CNNhiKbPrYxyhrKBLRTTZQ9F4pM3zqlHfoOuEqihquB1cc0zM8JkhfirPCQEuJGB8aNpfsp8GT5eWluBoECy6JFjucWMcsSj0M/1hjkR1Z8TSA1LEq1igzzVW0EpcNNRibCKZ7LdYnaUb/v7FkXppz/wYGZMCe9nXBSKJnlpGtoDf1xcuwY5BgggDueXDCsC4bnslwnaP+SFF86qD1/NZsY9SDYTbrR3LdjrNyDyQmp4Puf4g9DcojXyoLaGttpoT+lwDLEyD3w6/07gLIBUkpocLxJe8RiEixqxPsvuvmZGHWtYvFD0TwgIASEgBISAEBgqAkryMlTEZF89CIyEYCS4ED9BU3+FEnXcDhH8h4CByeuFbLQlcsxwl44ZGMHILBtXXKgtQvrEDNhl1d6TWc+sG5h3Jy1zavzyRxKDsSzBlTMAO5RFMBoXwTyFoOupnUDVGs4wpUmDilydE4xXrY3IWCSjznuEZ0SbwYTCBnPzjkE+5k5woXQ1AxgMvL3C5nyXzJUMojJrhjWn4ZgRcbG4c/n4j+RbNAb4j/BOKYKt2SA9hR9mi+UhtU/BPlw+HWMXmfmmilssOwBmfBbhx6dycQTQGwMgNzWBzmKtSJvCITzTk5IkpEQcglhwsRLMPDV8rLFOwl2jI1B9hywHdLF9yjTH+ZqPHoaZT9wUR/hlE6Yg7GT8lnd2PpkUKyZr5DU8fj/icztyqEVuolgYanap5D6C/cui/niH2pIBFKVdwvyGY7RiObXsFSGJxNI8rDkL5fwkL3RoERW+GxCMlh3GV/eSJ2Uh2MbDUghkI7+1sq4l2ZYaVgd5xLH4m3pUlUJACAgBISAEhEBZBHJEjBwq21wGQuBcIeAcFCzEMMZg7pZvndcQtmV2bL+BCf/lwYhCAyszU7Z5Lqv2sfB9RjDy+5ZtRjZ5iKjObN42b1+y/yI1fvnVSTCa1oi5f861kKUREHCUTtpU5OqMnmLiw4Z0LZV3slNDEjKhYDAE6+tXH5YOWA/EkISB5AuDl25yqLPquu2jhBJJHvUaoMAspqDLJxit2+F9i0Yb/5HfKUWwNRvDIcthjfvUXafxqw35KAefAj59piMNRXGhgcpFEOB5xceBTDc0Rk0KIwG8qfweRy18olO78PDm4Y67dNhPrGx6qmTsAhSSMJke6RR2Ec0q+aljzcf7blkRIwbj/Ron7fhd/jdKCED4v+qe2pyApajuuZF5r4UDMLkg9eiHw/pYmeCE2Pi7DPqOXbbU2z9syxofZiY+tE7yfyHQ1tb+8AHxfsyVwF2tvT4s+DIEp+NBETYPzVLLxk9evnw4vypTO1SlEBACQkAICIHJhsBTZ06lcoxUcmiyoaHrHUcIOAcFCzGMYZuHDi66YVt3gy3ra0wqUuMryPcR9uAEY4y6DG2sbJlSEfYkDxWp8cuvQoKR2RMaAH7b53tBkukGG7ZkgpiKXF0Resqhdp7QhRkcsh4sQ02Y6sVbUeAauQREjGFlsowGAzPIkPBQWYJxeN+iMcB/5HdKEWz9E/QwmCF6XoZfsi/SV3LnxRfOjDjk2A3rnahQBAHSEoEh0Q5DY3gMKpEkhZVehk60RyXOlV5pWqlYmiQ/aoXrt0YiK56TsXrbhc2AJBmSNim1n6qtJF1yDsfIIeVTrtrPLn9gPNXJeFKWjsvpBC/mP+06+rvth3n7x+IYWyv7HYJBVifmxMFrOlxQc6H+f+xOiUjsXRFghIYQd/7itoipseQvbu8Fi7FMVGFqeCywMMQSbZaPAzZ0yBOAn2osUvg/1imofPPcQUvDftQLhG/lVxxsYVJT7TapBZPEJ9c1Uo1VKQSEgBAQAkJACGQhgK80jCIpXdgosJtlqXohUCUIOAcFCzGMIRGOj5+p5Pz1toTcMVe7GOvoBrGCO12G2VicYMwRnlk/Rkwhrgt/PMdOkbPrl1+FBCPDxsEceGNEROxy8DVm8GzJDMsVuTqnp4rIRPkUkC8yZnJi+ji9Bxze3cHTj1qB9MRk9CZWZ6w+tgs/SedsYRjGsgTjsL9Fo4p/Re6UIti6DfRvDM9w1/N+rm7tC+tj5Q+XIjGCTKxeu8URQAZsD8lQUEqZL3bqlJ9DuEJDv8Mk8KxjXcbOZQIqskVk3VaYQV/A7dOQp0HxEU4wS5ygYzQju/KMHtefsklzPZ9y8WuBZsOnmB8t9irxv7zgYtE/fl5avPv8yryfRixu0kOYbRmZt/WZI3200ZqDM8sNtouimIZIi/OvBWYVM48bY3EVGEZs8NYJxKDFu47FFbHfBgRPyD/XMI4SgYHU9jxzeMSNhP4dxqnVRAgIASEgBISAEBACQuCcI+AcFCzEMAZjv65DNomcEfbrGm1AkQ5ruqLldbYwcJ8TjJ7WJKsrmwLQPEmvZTUJ6/3yq5NgvGxplG6DDY/UYQRLr8jVOT1Fyo8QuqyyBYeH0PAkO95DKGvMap5f73E7uTS3LEswDvtbNKr4V+ROKYKt2+T70rpZmNvUQfaCmREZ1WtUGAYClliH5RVvixgJJ+iwhkMIq0j7wt1ExDboRISjPA1+taXDWkGV2BJPvmuzZef54cYy7L2PRAUhUP0ImHw3Fmeg7LAJ/mA8HrQ8q5OENp1dfwwlud1HpD5BlOidkOqd241sSl6TLFgg6Fi2ZYuvSFjFpH1YYzI/XKqtEodlTpelYTYblhIsVIKvMrCoZ0QlYVJiXswsTJjc8b0PNIYaS+uK9T4iMQ5VmhiOP1lGX22uCigz/7iz0C/AZCeqEQJCQAgIASEgBISAEBi/CDgHBW8wjKswHU74C9ydZPOD6YXnsh/M33hkIE2JEYxEGAt8esIWA2WIQX6Ts4WM08DhciW//OokGHFdNCd0LhAul0SToVKi3MU9U5Grc94pVFvlnBoe0j6RnWdzXnsPGw7lxVfM6pPvAPltmTp9ZnkUPN+28OPOJxhH8i0aVfwrcqcUwdZtcuJnAr6ZkUYnXwxsZpONYITeJ3k9kSqLz8fRL+Fsfv70Gp5vPCfJxxo6P1qMMmB0Hp6PgNRXfhfwYUGAMFvHjxL1EfQjh6aXbi5i27rZj/4WaXpDv2k/5AWcHMlmW3CBwFupIASqGQELdcjjaEiDNI8JZNh2Q3lbtHYW25AlS6/klufmwhF74Lb0Y2cL3yslZgoTNHPEYgWXXWO9ZmOUqZklOeuMBTh2kSjnvGqRl2PD7Xz2/NH/kKKWU55DBEP49PL9XCbRHdllQ/GY/+QPuxphGRcDKE08EVJTiY2wczUXAkJACAgBISAEhIAQqH4EnIMa6g91Lo3FdPsFG665uxMrIYYKXr75OqEEcHsjGKHUvCarMLEJRq4antai3hnU/IVyJAsz8yAYjBzXSNr6hzsS+tQIJc5b0N3JQslh7z5c1gOSBpynsj7HsB6nb6ZmOKYxTSOptCcfoU8IGf6yFScYR/gtGj38K3KnFMHWbOC4QpCTZTMjDljyUFhjZpOEYETMiUQK/Y8tgvDF49sIbZgftJBVgPcvarIvKn7NCLwtuhrUwcb2AY6demzuSct5ROgzxFQc5RZA4+34w4pYtx5QgpGY33ROOi1vroIQGAME4MlDqnyUzmihDklfcv++Ht6G/GYou/rGMgG3D0/C1B8nrGFxlFC04YC5f6ncE9yD4VHK00qcf/gTiMpvPhqFFM5P8oKZvQLceZmbmlZs/CJKdVjgBWr+ziw1xobBLmEVLZmLdcKTCvHzypbepKVqhIAQEAJCQAgIASEgBITAKCHgHBS8wVBPsaWj3xs6/CFtrn9D4h8IvsdP4jAPsgjG8LOAlUO5BKloWR5s+mB/mSt9YVVLFrfgH+7ICUZ0gOGQcsrQgzY2P2lBSgrhHBOuZGgsyBm0JeSjJGI88ams8zEjGLnSUcK/IndKEWyL2HCZlTXL+YZU/yHWRu6r7+aOgxK07xvff7hutEy2i39lR+BKGV4R3CB3JWYfXdJMplej1OFbvrTqAJUsFrhA9BelCG8xaoKuaMV50S6m+hi+8M6I8QizeJsXpPtNh4NRWQiMMQL4+cJ4E+Rw9M5L0ELEvRfNjkIRhpsHM8w6tSkSoe6zDJI39TtKOsCZ2dFrLdLFi+4ctBh6RymLU9m1LQt76y9KdIYIyLkiljN4LNQFYUAYMIO3tM5oFHMWb+mEpUAcqMeA482CUfVCQAgIASEgBISAEBACkxYB56CgF4YKAvNf+3nPz2lvayHHkavl/AZ2YyuQ14B+wuwGk41ghBwwJEPeLIYSu7hnorL4yePtSKqMxLBWlJc0RTklY//8w/UpTMygyK7xTpwo9OXMaYhvlI1q+llpVhHmitmTu3TBo75vUSO+n2hUYtwpF5IEKt9Fuuwsj2tJ7TZ5jZXFvyJ3ShFsi9hwsZU1S6I3LmoQQaE+shBqfNMooC9a1drngiIyw5ocEXVQ8or4GrO2wtMPfjJ2lB5MsujcC/JILKEUwoxFmOEBzamz/CuNgeeW92BxpqEK/aZjp9auEBgzBHg98e3Nz0RfZDAES3y4tffe2m5+XeAyHGr17T4idIDx/9ywi5uOe0zCnM55m3C7sXn4jhxjO2RZ5NyLOWkPj2evpDDHCgO2SgaWbOI1vJswC+XQplsm8zv6Q96DrB5+f8Mh9Jmsr3G9GL/qntqYc7f3poIQEAJCQAgIASEgBISAEDjnCDgHBb0w1MFc+lB/CpLw5/rtu/pZx7KZNfx0yIH45XzFioEBTDaC0WYxgJBPMDpiFOBvIRUtwjwNIT3IBxEaUPYPtyIEY8EPFEctxsPmERfLMld4fr24lHsa6cunlu0PJ1yxK0plAseMYAwHM3L8K3KnlMWWMRexqbhZiFX1l5mzk2TqDffV21cX4gJZNdkfUldJSEpuZki4Y5f2222dHII6jtXbrnlEhknhzZM6dHi0EKZhvIiwq11Ho5RYFiwOP0rkVdxu3D6kbr+cfLohCxM2U1kIjAICqQEvyGzCVzRcLhzqmXmvESMRzbDdZfYXLg5tsHUF4b/18JPcmxbqMDXIQNZJWbqiQxYOfrOtE/Fh2agdt5V+z+THOGWZgD7DBCssxhn5ed7dNVlKwhu3H6ZVbF2ArCtUTnniCG9PS0bDrm1vmtvA6kbZAWdduOqFgBAQAkJACAgBISAEhMAYIOAc1FAJRrI2W7rAC2bUheO05AX8JPYQfOHRZJloSPb7GYdBPzoxCEY0TlxaEQUdCSAMhOIEo2P1u9I8heb4YHqlFfzDrQjBmCqSjJ2RXWLW2bV4zMayBBfzKWuCB3Syw7AGOUcSqHNCMPqoho1/Re6UstgyziI2FTdzfMZF4crVreia4LcRCJE8oqwaylIq8L2NXZ1lecbHOVZvu6ZZ5QvsGRAQOrKL87XbG0UZrrb4IQq41Z83tQaa0QXMJMCl3t2uQ2OVhcAoIUC6IoIBkoY42T/LQ3yln1sulGuyITXIdy2xMjcjFCV5z8l78uutHRYEAFGfL1pZcwt1SEqR1N5SKxkev1jsJWJ/UQayPMcKF+ELSI8S8oT0QNBUzMgxndobldx6DAwbxhnaWLBE6iEnk57XPPxpxaljMRItZxNu5tYVkks0kA81H+eWDztXWQgIASEgBISAEBACQkAIVCcCzkENlWAk7qL9Po/NsqGVrP4Ty1JcCJMgOLmEFMePTgyCkbzYQMEkIn/6jw4EnYOBFhKMOEYhoyria/b6WZHy6rUzBzG9gOkfbkUIxiSB6Z9XWLCgVUzZvLIswYUjGOPPT9ZpvdlME+MQqFEiGEcb/4rcKWWxBbciNhU3809/XBQgLoxgLCjTNckxZGDs6iycLIRArB5F03WbO1A6mfM131gzQIVlNXiDWg0Fvt6sSiTzUKC54pAtxPD9JwRBTu6J2AC0KwQqiIA9u3i1pUp8LYYAwXj9jCiECWNIcABke3CGWU6+FpUUkj+ZrsXuuM8sH/SjwkIdIgP2ExUpcDMyGBS/cJgvn1ZD+ESn67m/2DiXizNRDJpAMWvMHhIkNjb7DYNrM57OZIphHYqIH2RAIyWN+x2gSIwN2PT/aBdj9doVAkJACAgBISAEhIAQEALjAgHnoIZEMOKUZD/FYcYIKh67UvybOMrP8jD/aczGdmmKNgBjJtShf9/EIBiNEODq8nFA6mlg8jfkzXCcpAZVVdbUxiE1go5ZktdYwT/cihCM+Kx52LfYiXyXiaFdy5Vr+jUYHCpLcBktw1zP+0ktMDFEGGP9h0CNEsE4BviP/E4pi20R/A3tIl0V7y31ExxSJS6/thGrMKchXzkzS5ISYSs68Q7Dei+TgJV77eoN6d7NbmYFFIZ8D5MibagJPJc9xTPGLC4QTREXZuyRNBt/SJxGD+poki1nJ3gkWipYaBO/cGJQEHaVHi6cVc9dEBuMdicYAnjmrz7Qu2DfsXtqu9gosJvurn/urtyCWuCqnBwCxB3fVVsxhKAjiqlp/Ki0jbUkU96GbSEtYSYhLcNnuxtwL+B0zDsofBsauYem182GXeB+JOIBt7+5NhPX1LvCN5lhZ2WQQbhoKeYRQHoTCqxP0erzK1uQRFpkRb98njPveaARpjG0t7K9ssPluaSNaoSAEBACQkAICAEhIASEQNUi4BxUQYIRnx3oLNQ+/FrmpziePslLw3/KFv1xOEoeDWuYLtiv7lhGgzEjGM2fizEQVj0c2JDKWQSX+T/SOZqNnA6ZaxgI/A3nVqtb+6yesGw5zTlEVDcsk+loK3J1xjvZSHJi3dsI4UmwZDrZ1DNACpVlrr697iCtylKpLprFOAQqC/8RfovGAP+R3yllseVzKWJTETPIBCfxQh7AvhtD/WtfOf6GOaSSnRg7jRmF5FGvMbGT9emVYeH6rR18A1npyNcb0wQmBNkhtEZSvhWLtwYayLE4Kayju15aigqyV9jZjZOHo/C28JP2gOU+wtHSlmDohKzWI0c1vGSVqxABiMTZ9d331nbZBsFoBSqrimM0xvuuPSnvJjx8+bpCIcLaWSBBvv+8YWHtoOneNm+f3YbTB7/XiKxIPTESsz4Uu3GgW92A/i1OSwXvC0u4xiD9LKarfGuaqpDXEOt631l3kAcCSsVwrfX+xh4uh3Cp9MODgl3cn7+3/iD9x9JD+4msYHJK3t2xeu0KASEgBISAEBACQqAgAm3H9u46tH5L61Lf2O3oLcPMFOxcZkIgH4HiBCM/5vlt7M5EUIjQg1mdm6aOH9h4+GZN2ElyYWoBJtExmxFSQ1mjStYjm7TJDkqD5NGCNVkEF3o/gwv9UpbuiFkYA7CQbhRC3gzAca2iEj1DjucmoRHtEvh0YgOuyNUZPcVE6YWlXDx4esbO4rvIP2wkMIFeSaEswcVM0xr+4LHMaFoWbN+oVIwfb+8P+E//WfiP8Fs0NviP8E4pi20R/O3DKtJVfm/+MOEDgluzbof9174S/B0bgpGlk3+4NWK5oQJyxsw9BdUA9ZdvxpcH2oHeeAIQWTR8vpmzJ8sKfhYLcfDH4HGKy/ZFsxtsmYb77rKHmnGudHsVJjACq6PUyf2kIoUZZzfKHKqeC7eAorgAQ5Xz3P7okmZX1lrYE2qo5xZIav8sdiJy9PC1CHPIzX7pkubUa/SX6bWboqCj/s9CHXqEAa/PL/hQk2a8ahkGjKgf4rEGeUgl62vhjcybF7ExtyfxqN+5YC8GZI3xViSUp6ZI3A9vYgXTf5IrJ1avXSEgBISAEBACQkAIlEXgqTOnYtSic4wUOIRB2U5kIARGgoBzAvxCJjtquBHjC+kdtBUuTm+fv8+pRX42Q3nlp/wgSwIhAbFkI8g5Sq1wkPz2ZuphR59/x+6kDHKE1FB4rrJlroWRoEfK1xXk9JNFcNHkmo39l4mQIxanHdHFd0vKvZfeXbOsJQq8xhYSjDQnmJtpmRBWIfIMBRIcJUobXtgm4YDDDEWDPtqRX53xTgQ/tPy2DBKBSiz4G+G2TLXCUSRbTLh8ABTKMlcH+04be0lz5o+xRJlIvEzkabG5sGEj2yYkDF8k+s/Cf+TfojHAf4R3Sllsi+BvH1aRrvJ784cJH9C4Ixi5tEsWN8GHQIwYILG/kBLETDNnZzhGWHS+89CMcInJf5YeGrOkEol01eDDfe03rOVGxxMz1g9nRC0Zq9TuxEZgdl2JVCz9nVnbxQbHaIX7A/HeuQKBLyRxFHlWnD+9P26wPZD560EXSXLEroU3TC57MXKe8HYfEZbQL6S2+yS7vAu8xgp0ixsyb0nuTbqFbA8NLJMaEQ7Dypwyr1q6CgWKMWN7FxNJOKxnMdQuk5gw+GVc+lCzZYrhtUUWGCwJGkN2s1hyKFsfjL0rw25TyybU/0kpeVOqgSqFgBAQAkJACAgBIZCFQA67aEwjBlltVS8EKoJAyAnYT+j8v9CMrOMXmfYyiTDKwjrEh4hcybjQMu/wU6DSaexJYdFHTg0VB8fUFD5ILnCoasYsgosxwAESNs06J7oUaTeZHzGDIF6TMYeggexh/aEoVSVbjGCkByZodoi/0Iz4QSMKRfYG50ZAKjsEO5psaAiM/OrsQ4RgtMHYsDkvHyghBFGwMF/zEeLFmUxOUYS5wj/O5Kx0RdR9qB5QxQsPfGxeCbtoDHB4OostmYV/Rb5FY4D/SO6UItgWseHDHblZ+DAZjwQjqiG+bNynsayvUBwktPVMTP5ttwI3dewhNnVPpMiFgkjeC+DsztoecIC1BpNIxdYg7BbW30mFwMy6Lt9m1XX1b3CMpTIUVtIxfyzxQehrX3sLPMjNwkMYea07+DOYY0+dsYc2+r1kiGYbrel4eXRnDZ7AxSzPuWSdFTrofU6No3TYBEU9lcVf2SiQjfeLpW+2PhmtnRG2MDwLZZzBw/TThKDk3Zr/Q8jynbFoG+sqf5cFCF6FdJ5vpqNCQAgIASEgBISAEIghgGd0qFfMKnf0yVc6hpx2K4lAyAnYxCH2Fz+mV06vZcUfj7/FTcf5fT6k07P0Dy0W65NdeDw6zJorVYQaKjhOZvdQdvg8+iBhWgq2NbMsgsuOco0wCebt6KegwATti6sO2Awlh2Ckk03tJywbSNjcymBL554MIjnskV+d8U5GMNI/oj50WcmR8IFCwqR+OQoyV8Q8NEezWOcGFBdiV4diBI9yKuFkLAJYFv6V+haNDf7Du1OKYFvEBmxHbhY+TEZOMCa/zKNdw7PNlLRGL/CsgyrkO2lsCV9LWA5S/xAjEY0urpRQAdDs1MPwh0SK5XTgpk4d8GVLm1l0gKjnmYAQl5SymH1q2X4KpJlIbaLKyYOAk4r31XWxIWiMCvXRXwtCGKYQOiewwMOjNuRmMVY8qTlkVKZvZJ0oa4SW2sxCFMZsuHG4L2wl65/+UssdZyJAOEzuNe6aUOKOhJjK1H5i3fquuRWwPAdj6T7a9AkT+IrS6ufFC6PVtNR/CJIRHqdectLeSFRfR0gapNbw2EkVRacaq1IICAEhIASEgBAQAo5AWfmiRIyOlQrjGgFIJ5ygCUTGL22CnOPVS/5E/2FfJZdGbCVkSET2Q0+ISGNIo8oiuMJOIBKReRC1EgR+uaWDuYwzZqFZThkZ1QONPchF6AH/KfgoNBhhSKictiO5utRudxx5kshaBJDEy5sPlNlipT5QOBZYHSaVXCY8z6yhA5U64JFXjgH+4+JOKYukZd8mwWtZy1E1aOk5fdP2w3D4iH5tu3hh45dWHaDSPOtTz86qB3wFTA4NPWU57pw8u1JDKPDQgFqnCey6d2hxCWKyRjtKsAhkXYQ7YCS0YoOiRDCZysx7hypMHgTm74VO7GYjq8vs+q459V3+982llR0iHFYEDe5QouYi2EMxzledQKDcuUN6K5k4PzVYCtQi3+2cLG8simHAOlHsm09gFqMWkfoja49dqS1WmleyHeIdSD9DCnXIGY36s4Z4E3C/mzsAgkyCt4QEZmwAQ9q1uMGEiBlSKxkLASEgBISAEBACQmB4CGRJFpP1w+tfrYSAEBgbBIoQjGMzEp1FCJxzBGAGkPylegeP2dh+v/0wdGJse9eCRrZ3sy3ce/OO9KBtEIDQDrYh0EJtCH8S40BiV0F6XOzxu3S231wjCRwXs2TlAokUjCLgIACDlkcPXCk2I3Yu7Y5TBNYe6Llrz9Ebt3XOre+eU989dy9bRDPOre+yhFBE/hzhpcEiEqbDdLnPu2M3KkGPW0Jykxz6PXZe4mPwzU+NskjGZA59clmeA46pf8OwAMRgxDsYrg+aMXYu24ULpVuIu/AoYZypJFRvWFm2PLv+GMODsaRPJMdI9FkpYxWpbMPiBhChDIws8MWbyFIICAEhIASEgBCYGAicPN1X1/mfTxxcY+QeBXapHNWrSxKJWTWjOgx1LgSEwAgRQOzEPILp0gj7UXMhMN4RwIUQfiBMkTz2V/SFVQeMS8z4uxeCkY3ACKljIzAstzNBIfIDrHlb1LzYs1GwSvLqsgsOFKwGOvH3249A5qDOyiJPvEMVJjMCj7ZGGVJeeOee+Q3d4XZ/QxfsN+7DZaOUILXli0eoT6TgsbQjBiyCXk6Bvz+ieifPcfknmij1OQlQYp8LjBz2qTJF6Ds7RaxJuPuuUuZlv0c4ZAMjtVxo5mWGamph9IdeSQGJIOciq7VVZsVdCZuMTRlh8tyGY8k0T2Nzdp1FCAgBISAEhIAQOFcIQCRua3s4Se5ROaocY/KMWTXnChmdVwgIgSIIvHluxEiQhaSIsWyEwERFgKn0BffWoUEinOa5ukbyyYa8IhEUww1t4Tvn74PZeDfbwsY/pOkY4Te4nSEDCzouQ2hYfqIwbYRlkaYfgjrig4krKGVUjiGdcq4g0nmrGQEUrYQZRF64YN+xhQ3dC/Z1L20+vr6t51g54gwBLXQW3L6HDOUrR5nvfMhxWUJk3lmQ3rF/CGvNu79gfIOlzb2c4rUz62L9sAvJySF6Sx7ymqvWtmGDS7LX8A6lhkAlXhMWptVESV7YiMEb1hNwwOoRIhKMEVFieFRlISAEhIAQEAJCQAiMMQJ1nZuzmD0Ojd5gsk6arB+9MahnISAERogAMieTVZCmYYRdqbkQGNcIEFsVJo3gnOfqKvDuhE4pu8Ex4hEJwQgbQ6jG2GihWSwg2z1n9Ycxg9gu7I1ROmGQRmgivESNroF+hBL52ab2c+s2Hhu2dqsWAUvmgryw+AghCy99qNl4Nr7YOBHz7f355g5LtgLLTaYq683CD8a8jP1Ef9wZRdYlELHX5BSIHcoZyY+W5CppZa/FkNuMdWVU5weCEIXcuXSYqmC08AK4h9s9Rdpors465NpRUT5rSsQ9cjQnRUtsANoVAkJACAgBISAEhMBoILD1wMokp2c1+EqPxhmtTyV5GT1s1bMQGG0EiFGPTxbO0R69allL72ifVP0LgWpGgLQmqS6ZYzZmItflsItvn7/PN2SNkY4xQ8QIXwFZwdEiIyf/C8YwOQlFWNQah9ayPq1FziKbyYOAUYXkKE9eMuwfMj+Y/NghiwOMmND99M2A5OZ8jfl+ep5lAg+ye+P29BiksW7L7lrWldT4h28qCftJOZ3VCZwnIznv7oEQheSvoYaghTFa8rGDJ0i0hADYXrvYsEFghj0r+XKIhspCQAgIASEgBITAOUQgi120+tEbWNuxvfmntqMdfZJFjd6HoJ6FwDARQONh0xz7S2LoYXakZkJACFQIgc+uPOAUohXeNn9fcnv7vEjl+K5Ix9j45VUHkidf0RL5fhIvMTUTdGhPpDvzjybdeVivshAYNgKwiHz93jqvgTCh+DIT3dfdo6nh0E8ebw87n1kXxfzEqb++OyVHCSld6AGD+xsjWtJIPIjBgn7Q4YmSZTTA9Hx3TVfykOVJJzN18pDVEILA7h1PXd196owxlgz4m4+2Iae8bnMH6a05BaJiD0GwuOk4oQYIGpnVs+qFgBAQAkJACAgBIXAOEchn+UZ1YGVFjBiM6gDUuRAQAsNDAKXWNx5pY7r3hx1HtnQUcigb3onUSggIgYIIkJ+i4NbPMS7YS6bp1M5NmZxDj9R2n/zsw1EWXTatL6RiqMohIdDUc/qSxU3kGQ+DKJLKnNwrHLKubilp/D66pDnsmVZ8CaHjwsqwjLf1A4097SeephI/fftuw58ja0SEjwT3F5s7SEJEkEOo9ZPxmAFhT/Hyd9cd5NT8jR945hkUmBxCjZk85DUksMZmVRCyFe3ihSVGkXrbQOCSJc1h/AFvroIQEAJCQAgIASEgBIaHgGV5JusKW8XzO58rF2mgeOrMqRyOkUMYDA8xtRICQkAICAEhMKkQeOu8fQU3eEgkjpGOcUE6wWgqMtieGID4QSOggjYx8dUL7twNLROz0a4QyEEA9fvVGw4SRRBvZbSIWw/3r0+h34NafPHUPUQRhFt71pSd+DuTuiX8t7YtyjH9yukDCcVwgraQoUQpDC1zygf7Tn9i2X5LPOQ8nhdQQhIvNKd5eAjtIg1Ts8bDanKIeJKhfaz8saWRvzbcZqx+19GTaIMJI0keGcKZxo5qVwgIASEgBISAEBACI0EgmeW5svmdz1WSF8cEJ+gYzciuPKMdHxWEgBAQAkJACJRFIJ9dfMu8fb5haRwjwRhTu0VJhcQL9uPh1v7YqkgWyXgL/0MlG16cv9rSAb2T2lyV4xoBEhOjEhxSmpUi14sf/VvmNdj3J/z7kcVN9kXyNECWyiQp2zv2VERC8s30wJ7I/+jq1TNSUjnnD4keyNeMezUJX8i9fu2m9i+vbqUfGxgeyvnN7SjRF7HnXogRoRw1vpSM2DkMIWmvITOdYi1yRtkIASEgBISAEBACQmCECKQSgBXM7wyBmSpipJJDIxy8mgsBISAEhIAQEAJjgIDzh0UKEcdYEjFmDcyyY1y2tJm82LCRRrxA75CBGuFWDm2S1aHqxwsCV6yInN8hkCs4YJIj0yffnw892IQwr6X3NBsuzxZ1EL9gYhL66YyHnF2fkiEFVS39rD/UnxX60ZKm8aLZDd52hAUUufRPbmiEjmW7glck9wr2i0oBHrH3cJGUSdfCIVK0lO1HBkJACAgBISAEhIAQGDMEUtk/RIwVHEDJBXszOaMtHiMFCEyxixVEWF0JASEgBISAEBhVBC5fcaAItWg2JmIkL0zWkKaXmBYYEtteenfNNRsPNRxX3JIswCZO/W+3dfKh48Jc9pIIwMu3Al97wgnyDfngg01E5U22mtNwDNkhvswbzhKDboNM0TjGm4KGV66JkrnQs5t5Abkjh249G3ERFSK75I92g5EXSLBOn3z/i3RlKddRKpKNBYfoMD7k9Vs7ydISSwldpE/ZCAEhIASEgBAQAkJg9BBIJRipHL0zqmchIASEgBAQAkJgfCEAL1ScYMQSjvGGbZ1Z14iiDE9VckwQsA7J2YC8LKuB6icKAstKacRfk+t3DNVMimeIOLZnTfk7JOH//NMu2yXrSug7j8zP8jhP3ZNO2VkaaE7n3zGTO9JPElFYR87ytTX9LsyEK2SXWKDeNtmEGtLE3Lj98F2lASxpOk5Wl45SzpdU4w+XOEzywqQejVUidCRZjF04IHz9kUK+1bFOtCsEhIAQEAJCQAgIgTFDYLRdpMfsQnQiISAEhIAQEAJCYJQQaO45PVSCkSY5g1nd2nf0ZJR7V/8mFQKHTzwNY0aaFQIVEmYQYhBP5BCBzR0nnnt7RCdeuqT5r80eEPEZvjAWpRM2z+1hp7FE4Oc1yUJjzyBlLB7QNDl/ejzHEA3vq+/m0FvnDfhEnzc18kTm1MluvcZyOl+1NmL/TAOZlSEd4vFFd0aBRkkx483LFoi4mAzDWLaVDISAEBACQkAICAEhMPYIJGMkKjri2H8KOqMQEAJCQAgIgSpHYEgiRoyr/HI0vDFGoP3E0w81Hyf6IkEIIdmQJvKX7YurBrnSE4eTytQgjSQZ59AFgfqR5CnUfH9Dir9z1tVBWeJSTcDGUAlpxiQbojdyPXvb76w7SA1e1V6TLJCfCJtflqJKQkVSRm+JUDNmWd/dL8v8yuq83mKttCsEhIAQEAJCQAgIgfGFgMVIhFdkU3TE8fXZabRCQAgIASEgBMYMgYKRGDEbsyHpROMFAeIuQr75RlBBnJEJeBjK+Sx1ModSNXu4KuOwTA+EZ7Srfvv8KENQQY9jB+r86bW0WjtYOclR+jdfbBc9WhhGuNCsdCqkOj/v7kjl6L199uEoiw1NuF4yFpHe+o87j3586X4CAlD/gQcHuXj7kFQQAkJACAgBISAEhIAQEAJCQAgIASEgBITA5EGgrI5R2sXJ82UY0pUu2Hfs2k3t/EWyCNX27XUHk82ROHLokiXNyUNW8/L/n733DrOyutr//cNcMbFhiyWWqFijotgFC1FfG2LvJfZuIoq9vLYYC19UbDGKggJqqNJDfRWIINKk/YYBZ0CGQeoMUhxE8vucWbDZPG2eM/XMcJ/rXPPuZ+2111773s/xvbizSnn3ZCg7ezyjdyH6vdKVNHQ26ZbCqvbfRrSMoWc0UzjplC1IkgbTS6Iy+h8fuxB9eE6nz4BajjSdQe6+BExSTZGCkL6axkJACAgBISAEhIAQEAJCQAgIASEgBISAENhsEaC4IixiIJqRR4TJdRc3W8Qa3sHXrPtvx5mld39RfN2QeZBs4Q7OCUf+sLyH+Ok9C8M6vQpWHP/ZrMhu0cQK/r28AzWsnWt3cl6fTN9nogTDphIkj5WzgrdEpSob+QkR6pZzUus4Q/CkdXKxqaKVa6m7yO4EPVLX0enbYNUv64irpFzkO9OWUdpx/qqkeqSBtXoUAkJACAgBISAEhECuIVCe+Dx+YvFQvvlLxvOYax7KHyEgBISAEBACQkAICIF6hACtjR8e84M1K3ERegz+PGxeZIxf+GjkRKOPhfBUWELJxM9mL7/63/Mojcgq4/pcxKDlI8Nwhhf6EsokstCx3xg0U76OjeE2mbq4/yYhlNCDBFUi54sbB3yYd0Tn/O1fzzxyCrrShO1IIgSEgBAQAkJACAiBBoMAdCK84jdFA92XR3GMDeZ+dRAhIASEgBAQAkJACNQyAjRGObJLPsQaDZ0J8yNyb8i8lW9PW2aZy8T45ZWUVegSsYhWkBCuMkGZeoxX/ft7yzUmSvCyQd/TMxr7xvLZQnKZeWzitX2JNLhHOTm5+heKLGY+BcvXsGrnt6Yux5VNPyPmZ7q0/LHTzE3FmaevF66GZmzaJf/wj/Kp4kh2NgGNYQvhhZIIASEgBISAEBACQqBeI0CvFkctugHCen0oOS8EhIAQEAJCQAgIASFQvQgsK/uFtOXrh8y7sP9cko6fHrdo+rJonvDC8kC+M3sXBpg58ohZDjXnYguTPYSmQ5mKi5Fq+HP255ncZ76n9fiu08xSMo5N0/VhmbMiQ06Wrf3vbu9MQw32L9IUQrpXUwLR7w2N0BjRJ75eWLJmHQGKkJm2nEesbff6FMdGxpmVXAgIASEgBISAEBACmwkC9IN2vKIbEMS4mRxfxxQCQkAICAEhIASEgBBIRgAajY4kO7TfpCMJDNu2r095PdQD5dNZmXBBWjyXwieGPsisp/OrkyOapwTUSXnG1N8mLArIeSRI0vKgISG/XRLBcxI8yVqqNdpaa8JCVKEjIQM2H/rPD+hTK9KXmxA5J+WvXxCy9agFr0xarNBEHy6NhYAQEAJCQAgIgc0ZgUiCEeHmjInOLgSEgBAQAkJACAgBIWAIEIV44r8yTZPhDOnLPLO0jNDBSUt/emD0D4T8Ifd7mrDEGqAkdAknjJBVf3iv4uKKL0xYguaV//4+fBc0cGGKBGSqL4Znkez5bqYY41Mb+rAQc0hGM5LLB30fXjJg7kqSrGERA7nb2P7LyAVNu86CzCT5+t3p69tSR+4ooRAQAkJACAgBISAENmcElCK9Od++zi4EhIAQEAJCQAhstgiQ8/vsN4vuGbmgzegfaIDyeeH6YL8AII9+tRBe7n96F4YDEttPzfQ6ISzQX2JpxXRP9oWBMeUQWegyjgOz7pFqiqgd1WUT+zZ7eLmFYUXRrQkpn0j+MmsvHrixDwsJ3buWJ0rv3yHvo5mlM0rKqO7I39ajF1DsEbKUiES3tQZCQAgIASEgBISAEBACWSFAP5dAECOPavKSFYZSFgJCQAgIASEgBIRA5RCAtVu0+pfKra30qjELV9MBuVH7DAXnf4nToxtLwCzxe+hEkoEE+J3w6exz+sxxdCLJ1CjD1wWMFK9a22/Oj89/s4hwRPq/NCrPtuYxoBZ4BBmskZodjlKEdWRqaFHQW7NApvPBHfPgDCm9OG/lWkIuTU7g5fl915dtZLn7Eu4I5RjYXY9CQAgIASEgBISAEBACWSEAnUgcI7wiXwZiF7NCT8pCQAgIASEgBISAEKgcAvRMgWrzo+wqZyerVbCLdFuGWzu66yyym6ctKxv9w+p/zV7OoxFunfM3odr2/yAPOTGBKXch0fj3/5j+zaKf3pteQnjkn3p+t/c/M9nK7ksjlZO7Fdw2ohjKsUKbZFKzMExvWiL2NYM3KZlo1p4Ztwhq8bPZy4//bP2JCKr0Nxq7cDWJzyRZ3zhs/i3Di6jTGCYwfX2NhYAQEAJCQAgIASEgBISAEBACQkAICAEhIASEQO0jQNG/2T+umbqsDKotjsAaXrQK9uywj2dW3b380jXdZy+HsiOojzKJcQapMWjFCf9fqMfK2nX/JaQQf3Z+a+qEDe2SsWM9WaDj4mwG5MZeOjqRVGWKHxIw+eTXC3sWLC9ckZaoNLNUWcRUoMwjU9CktgXNVhav/mVWSRkHf+LrH47/NFMuskWP70YUrexbuJwAS+ClfGLAST0KASEgBISAEBACQkAICAEhIASEgBAQAkJACAiB3ESAsn6PjV1I7Jz1HTYSjJThM3sXtpu8lAxi321Sd1HY/vUpAbmvkzyGFST4EBaOmD3bi7+ModSoLhhe26o8QTjQK9lXu3ZopnHzwR1nOkfJHTbLx34yi54pn8wqhcqD3yP0kRRmp+aMWA1GwjLfnrYMtbiuzVCdmHKr4gbWx5m85rDCw2MyfZ/5bt9+yu/fnb7jm5mwTM5+9ueF3WeX9i5c3rtg+bB5P5aBkT5CQAgIASEgBISAEBACQkAICAEhIASEgBAQAkIg5xGAxnp63CIXv0ea8J96fEdvlFO7F1BF0Kiwpl3yA+GFjcsTkEnarcT52PHC/nPN8uk9C1+dvPRvExbByJlNeMtA1+PlP6+D6kTuahKGNyXYcr8Omaxkv38K1Kg7l23n/iKHk5xVujEukdxnZolXDBt3koXlxRVJvnaSuMEXxZkgT3y+oN9cjgZP6ydrQ6626PndXv+cgc+HdyZScW67b5f2Klhu354FpT1nlw6ZW3EidtzukgsBISAEhIAQEAJCQAgIASEgBISAEBACQkAICIFaQ+DekQuMdiPSD2bPD+4rXbOOJF8oRxRoZDzYa6Rybp9Mz5F3pi1zftL2hUxnGjS3nbT0pYlLyH12U4GBUXn0TJm89Cd/auXP6x78zw/E8kFsjvphI3XZqTwWkU4uvnJ4/NdRmYNQnNCfwuans5ZDG/552LxLB37fsu8c6ijSjtmOvNc/p7us6kHzYls/O4O9C1ew8KzPC50kYUB6te3CXxKuB8zd2Nglb9lPPWaX9oBIzHyXl38zj3wJYlz/nVU6Oz5nPGFfTQkBISAEhIAQEAJCQAgIASEgBOoLAnvuueeWW245duzYOIdbtmyJwlZbbVVSUhKnc8IJJzgjb7/9NuPnn38+Tnkzl3/wwQfg88QTT1SIQ9euXdF88MEHK9SUQvUikP6OqnffurUWft/Cktr0sG53r82TVtdef5+4BPprl7em+oF/AeOUH4R7RO2gD/PK1q6fhAlEcseGCocwjXuU85AI7Uuq9YX95oYTjbvkZzKXaZjiRw/6OxrhSZOUJRt6KD9SnlMMf+irhcdW3nCff84IT4Ul3y4pg7HEk7M/X5/FTMMU68zy+rdLw/omIRCRJa9MWhynEJBDk/YoWE40I0GY/tTgeT9uJBIdozi79F/fZb6fzcp8P51VOnDOcn+VxkJACAgBISAEhIAQEAJCQAgIgQaGwBVXXLHFFls89dRTkedat27dTjvthAKfTp06ReqsXr36t7/97c4772yzb731FsrPPfdcpLKEkFfg8/jjj1cIBQQLmm3atKlQsxYUBg8efMghh7Rr164W9qrzLdLfUZ27Wo0OhN+3sKQat/NNRb5dtba770n9HRMZaCUQKywqOGfFWss1fnHiEjsvLZuh2k7r8R2P9CthTM/l1qMXdMwr+SCvhC7JVsuRpskBfKya4ptTN4Y+BhSIhGxa3hjaEX1kcGOfBsoBzcAjFB5q7BuQxz3OXbG2UfuMPs1WTMcCFHd6Yyr9qcOrSLjGPknNfpBnWC2NBP7wX7CIcInljGKGVPR4RajFT2aVfJKf+aaxJh0hIASEgBAQAkJACAgBISAEhEA9RQDaEBbrlFNOifR/9OjRzB533HH8vfzyyyN1+vXrx+z5559vsyIYI1FywvTkFcDus88+L774oltbh4NPP/2UW77//vvr0Ida2zr9HdWaS7WwUZjQC0tqyI3Ityun3v8aOng1mrVMYeID09iEXjv8o3zXlHn6sjLYNjo795/7I4Mbh83fNEYv08MFOd+RxaucfSolQt8hLF61IRTSzXkDMrXRoQikySzMksRqTyV6SKlGFkJR2odmLoQ1RquWSyFF0ffDC+/8MlOJkYzmu78opps2SeL0WiE3/IpB3yOHZSUNPMFgyqlPZ5WUfzNhiu4LzZvhFWeVdM3PfLuUf1MalJoQEAJCQAgIASEgBISAEBACQqA+IrBs2bJf//rX22233c8//xz2/6GHHoJW6tmz5y677LLHHnuEFZDcc8896MAr2qwIxkiUnLCekleRFJA7VAMb1NM7quIthOnEsKSKW8Qt36zerjgQqiK3hOLd3plWuWbFcHg7v5Vh85p3m009xg2U3iYekSKNAvGNTkoiNpIjOuc7SeSAZi6N2k8ltrBoZYaHpA4kq1qUR0tG6juhuQQriIS4RPhGjMRVgySCkQBOCE+3nAE54BRs9FvDWJAnDhzeOX/SpkUj/YVZjY1CjPtr1GLn/JLOMxXBmBWuUhYCQkAICAEhIASEQN0gULZ2Vf6S8d8uGPFN0UC+DHhEWDfeaFchUN8QOPLII2EIhw8fHna8adOmpD+TBH3hhReiM3ny5LDOEUccwdT8+euz50QwhiHyJfWUvNqsKKB6ekf+a1aJcZhODEsqYTbNks3q7UoDSLY6D4zOFFEkYTnbhU7fCjNiZGjRxvYlbpYB3VWY9elE6618wqcVtGth7XGfZao+mmWoQnKZiSpckBj3SLsWlhBU6ShTGrsg4YwuptG5h03cYJYWz07oBgRYku591b+/py8MbaApOPnNok360TjNyg1cgKJxif5f4xWhFj8q/1bOvlYJASEgBISAEBACQkAI1BoCEIkTi4catej/RSiOsdZuQRvVawQeeOABGMJwMxG6uhDc2KxZM073/vvvo/P0008HTlpaWorOQQcd5OQ+wTh9+vRnn30WCwceeOBZZ5318MMPr1ixwmkGBpMmTcI+ao0bN6azzEsvvZSfv0lszMSJEx977DGytlmYleXARvZYUFBw33330Z5m3333Peyww84777z+/ftHaiKs0De3sELNZPLqjTfe4Iwkh2KQMzIeNmyYM15pBCZMmEAw6umnn85hOfILL7wAaYxZQK4wBbt9+/a4cfHFF/MCnHjiiYz5jBo1ynnFAHr55ZdfvuSSS7ho7N99993du3f3FdKMKfj54YcfnnvuuVDWe++9N38pEOpvxCxbFxdHJFeS6c/UyJEjwxthgakvvvjCpircBbX0d+S2q/DeK313bovAwMf88MMPp0YBkcYBHXv0NRNuJ0wnhiXOfoXndZr+7mE/E96uwPv/yiuvcI/8B8dZ9gdc65NPPvnaa685YXoP3ZL6O/hjp5nQa67OYSUOct2QDH1Hj+nI8EUMEklIACERgC4HeezC1Syhf3SF2xGviKbLR6ZxM48vTFhfATJy+bPfZEo1Qiq6WfK4CdFE2KzbbNhOAiNJmoYqJEbRWmOThR3I7HZra3TQd85yKMT13/JIxY2PG6hFCMbP1eSlRq9BxoWAEBACQkAICAEhUB0I5C8Z5/OK/pip6thBNoRAA0cA7gXu6Nhjjw2cs3PnzshhCJEvXrz4V7/61UknnRTQ+eSTT9C5/fbbndwRjLBkcI877rgjq44//vgddtgBTZpWw7Q4ZTd45513fvOb36BA1cEWLVqgxpjE7QEDBjidyll2y/3Be++9h2+ciBDNs88+++ijjyZQkx0J1PTVbJzGt/SaceTVmjVrLrjgAnzg+EbDhumdyiHQtm1bOx2oYnz33XdnFzjhoqKiXXfdleT38JF9CZwh+oGPvRWmRocOjKDQqFGj5s2b0wsGYHk855xzli9P2zh10aJFbiOjo5s0aWJ2XEdy+t1gFqLJd8/G5gDkZHgK6phVQ4cOZSrNLqilvyPbLs0bUrm7Cx/HJD7mJ598svt9MQhw+L5m8u2E37ewJP15U/rpLp07ch97uwK7X3XVVSjAwEdi0rdvX2b//Oc/Z+thpLUcEdKz+NYRxTQ75kvRwl4Fsf/rzA7tMwnORP1V2vOXJy3GAoUcEywc0jFDYxK4aDrTyis37vXPWE7SmaK5Mws5jknoR8MjGdBTl5U5HX8wf9Va6wHtOEmbnbz0Jys1yXL/C/HYdtLSOGrUt1wT46lLfrIAxbi/nWaW8M0vjT5sTbgkm0JACAgBISAEhIAQEAKVQ2DC/CE+qeiPyZWunE2tEgKbFQIE/8D+WSq0f3D7F/20adNMSEQZOqtWbVJ84MYbb+Tf9RZxZ2pGpFx//fVwPo4aYgoCzTpWw3L4uzAmoA4jUIsEHbkpotF22203dnRxWZWw7Kz5g3HjxsFc7b///rNnb0zumzdvHuQMbgT6X6f0Lf0pIskrKmFaJx0YEq7DvA0QLAgrgQBBXxxqv/32mzFjhgNh7NixUIucNw3ByI3DWXXs2BE79957L2M+rmInLDRULVQwIYvOc8LMLrvsMts38MI4HwIDYiPRJ8yysLDQTc2aNWuvvfbisr766iuEvB7onHbaaU7BBmPGjEGOGq+x88Gm8HP77bfnVTR5ml1YmP6OUE75hlTi7uwI4b9xmLdq1QoczjzzTLckTjPydsLvW1iS/rxoxu3u+5nwdgV25z8InI4bdKfzB0TPMsubkJWHvoWcGpes+QVqsVm3Avdt3q3g5O4Fd/xfMVNhV63M4NeJPVDCq3wJ+ctQdvt22PhfCX/WxuQXo+PHSRrdN7xok/+nEF540Id5LPSTr63NSpPO+YUr1gT0yYA+uVsB+q36zQ1zhsRPEr5IZCM1IWlv/ddRCwbMXRlOmg7YrOlHohMdu2h0YuCvwhdr+gpkXwgIASEgBISAEBAC1YKAzyiGx9WyhYwIgQaPAFF8/PPc5wk58u9//3ti3tzZ6SCMTo8ePZyEwQEHHLDNNtuUlW2MzTAiBU3Sb31NxmvXrqVTDFMzZ850U5BRUEA77bQTQZJOaIM5c+ZgnBgne8zWcsCaezTOrUuXLk5igyVLlsBnuu0QpvctvWaYvILnhO2EH/PDAtk9QLAgyRYBsom33XZbODoi9+yM7m9eXh6wcxeQb06YMIiskse9c6HcEZxteO1NN92E/UcffTQ8FZBAfqJJqGFAzuPHH3/MlMvNJ8V76623DpCW1oro2muvRTNQSnTgwIEIocoxlX6X9HeU/t6zvbswFCZJwJyaBhYnDIGMcoIms+HbCb9vYUn68ybsHvATZyLfrvDu/NeGnwn/W4BB4f6S7w/FzSyS9B665Tk4CLCL0IxGMJIFfNcXESUCqFUII1ch0Zdw0iVlv2CB6og0Ron7PD52ITo3Dy9yCveOXIDk1hEbJW7KDWaWrm9R7aopMrXql3VNu2YKM+7y1lSyoQllnLdyLV1g/nfcIotd5KSrfwnzi85qbg3K1q6DQgyQiu6RKRRyy2N5IwSEgBAQAkJACAgBIRCFQJhU9CVRKyQTAkIgiAC1y+BhKJ3nJghcRHL11Vc7iUUQEbLoJPBX6JCh6SQMjEiB1IJO9OU2vvnmm1nSp08fN/X4448jIY3XSfyB1YckzRNhtpZ9O/74uuuuY8fevXv7QhsT2UWgJtyIPab3Lb1mgLwi5gqKD2ITJi3gT5hgyRaBW2+9lZNSHTFg2R6NYqoKwQgjin12ibQP1UPSNDQmzG2kghNSiI8wyNdff91J3MBYQQoMmoRXlB0/++wzp8DgqKOOggmnZB9Tf/nLX/ypW265BaG9b+l3SX9H6e8927vzT+GPkzF/4oknOK/VU03WDN9O+H0LS9KfN3l3309Ol5JgNJuObXawUIGTUz/11FNI0nvolufagFRiF7joBo5gbNGjsHdhsPLAfh1mQNb1LozNoY48Iyzf6B9Wj/ohU46VjxkZt2j9own9v/+anenzctK/NgZ+WxlGaMn/LIhdBSPKquuHBGnhhat/YYre0Mz6Xwoq3jNyASUW/a3rxZgk6ADNyKMyo+vF3clJISAEhIAQEAJCQAgYAkqR1psgBKqOALGC/Asdbs2ZIrsZCQyDk5BkSpwhIWROQiVDdAI5xUakXHTRRU7NH0AOsMQvpEb9Q8iluGJ948ePRx9KECPZWvb39cdm5+CDD/azcX0FN07vW3pNn7wiHJTwP6LOXAsStzWDML2TLQL0B6eyZSDez21h2FaFYKS6Jrczd+5cZzMwoDgnCpVo+OLsGAinnnqqSWjxg0GLSDQJ2eW8P/aGkGV/6KGHurUM/vCHPwCvS+j2p/xxYJf0d5T+3rO9O989f5yMOSclwM8Y3WRNbAZuJ/y+hSXpz5u8u+8nnqQkGBcuXMj7TJFPHxDGZ5xxBu8A3WQYp/cwYCR3HsPhi34EIwTj3V8sCHhLc2c4OuooBuTJj8QisuruDSGRVinx3enL4lbN/nEN+ru+s75ohqndVG6EJGhiIMMLu+Rnyi0SphjXuJnAxUe/WkjqN85AQn6YV1KPAhfD55VECAgBISAEhIAQEAJCoF4joCYv9fr65HzuIECWLv9IJ67JXDrllFO22mqrAO9Hc2foHVe68PLLL+dxypQp/imMSCGOyBe6MZGKLPH7dFAGkPAzUlkjP/RuICmS9sdYyNay2zQwILSS0+EGZAW54a+++urkyZMDOvaY3rf0mo68Yl8Axw04Rlfo0ncjTO9kiwAddvwkd984Y6pibrnlllUhGDG+8847B8z6j0ZBP/PMM74wecwrR99nGkYT5HbppZeS+gpEjmBkLUnZoO2MoImCcZiE13Ii12baYhojG/ck75L+jtLfe7Z35w4YGFSIudOvUDNwO+H3LSxJf94Kd3d+MkhJMKJJl3mu2//BwjATAOwqc6b30Hcgp8Zn9prjAhfdIBPB2K2AxGEIxpZ95wQcbj06k6p8SveCgDz58eKBmZqKT3290NQeGP0Dj5Ep2M4O7CI6MI1OQv1DYhoR0u3l/RklTo4O1OVOb0wlvrHvnB+dXAMhIASEgBAQAkJACAgBIZCzCJStXRUZxIiQqZx1W44JgVxDwJKX+Zc+jpEjDOsV7iv99ttv8697Rw/CIcD2BA5iREogrNHpBAhGOC74Q2wmfyy0MivLbsfIAdGYRFFiFj7KtibODe5iyJAhTj+9b+k1MW7kFZF17HvYYYfdc889DIi7w4jb2gZheicrBDCIZdKHA2b9RxjIShOMBKFxd37Uq2/ZxpZWf80114SnApKVK1fed999hx9+uJGueA5TREcPyEnGPsFomd1WZhAjdPeAX7IoTVKhUQYlM27hsjQ6d3ul3CXlHWV171ndnXM4MEiDuS1Joxm4nfD7FpCkP2+a3f2jpScYafnEFfOrccvJrEdCEyIk6T10y3NwEEkwwjRCMEIhntbju5Z9gzHD5DVD8W37+pQFqyIKU8Sd8U89v2NV+2+XmkLH8ubOf+rxXZw+cuMSyZX2dWj6TEMWTPHd/R/TD/gwj4jK7V7PPNI1hiBGX1njBATIpx4498dPZpXyZaD06gSsNCUEhIAQEAJCQAgIgRpCACKROEZ6Rlv1RQY8il2sIbRltqEi0KtXL/6dDnvDAYkbZEwzlMBhFyxYACNn8YR0+EWHIMaATrZECuwQaddQQwmfESNGsEu2lgOORT4S7Uav29tuu43eLhyHT5s2bZxmet/Saxp5xUb0NDFarFmzZjzig9vXBgF6B2G2CMCakjUcMOsejY2pNMGIHTrI0J/aGQwPuFOO5tf2DOsgISANO2hCtFJJD5rXhc6S94rcJxiZRUJxTjP1u9/9jnhUG3MiXHLNYmjMzSMdQGw2/S7p7yj9vWd7d+Zz+G+FmLslFWoGbif8voUl6c9b4e7OTwbpCUb+pwGay/M/bbjlNEPnPXd1U9N76Czk2iAyRdoRjHF9Xg7pOBNCr+2k9WxhhYcqXbPOek9/vqFyI51WsEAgYsJay6p+bOz6oEdfkx7W0IxNu+Qf/lH+wR1nntNnDsUk1dvEhyhhTBcYGEXXF8YNEKpBTAJumhICQkAICAEhIASEgBAQAkIgBxGA7OLf5tZDGbILDieyNTAUEFmrRCiR4YsOCaqBs2RLpMAuwhEFjEQ+Zms50kiCEOYKto1DGZ+JZnrf0msaeUXcnfMEDo3iljC3gb4zYXonWwSoVsedclluL38wadIkDlsVgtHsw/n4Zv3xiy++yBZvvvmmLwyP6eGC2gsvvBCeouE4Uz7ByHb4TPAnyl9//TWzf//7391C2G/oJnSsNiMp8G4q/S7p7yj9vWd7d87twCAZcw7+1VdfkRvOqmRNFAK3E37fwpL0503e3fcTT9ITjCjTx4dLHzp0KGMKThJGaxU4eeST3kPTz8G/kU1eIBhdn5deoSYvnOKh/2QSnHd7Z1rB8mAsdOQZ201ein7jD/IcB8jAWq4QkRi5BCHhjqy6oF8whDJOX/KUCESyi0YzMpXSiNSEgBAQAkJACAgBISAEhIAQEAI5ggB9GaC56KQAzUiCaqRX9q972joTJ8Y/7cMNgrMlUiieBl1As+DI7SZOnEgSLsmzzGZrOdLgihUrWrRo0bp168jZd999F2dcEGN639JrGnkVqFFJ4ifIw5u5+oG4F6Z3skWAJuAcx2+p45/akuKrQjC2atUK+zjvm/XHzZs3R4Gair4wMIZrgl/lfWMQmOLRSiz6BCNCmrwAF8TsI488gn2Cad1C472hiDt06MAUf20qq13S31H6e8/27tyJAoNkzOkWxKmvv/56ViVrohC4nfD7FpakP2/y7r6feJIVwQjnzO1bg3vLoKf1j0MpvYduSQ4OIoMYrQzj7f9XHOkwEYl/7JQJYmzebbbjDCM1EZasWUeQIcovTdykw/vRXWchTCiZ+O2SMko1ZtuuOs4NyQ0BUqFdyGLkQLnSelWEgBAQAkJACAgBISAEhIAQqF8IWM26v/3tb3AUF198caTzw4YNY5akV4ipyPp72RIpRmL4fYH9fY0DgfBBmK1l344/3muvvSzIzRfamLbOnM74TCTpfUuvGUlesdett97K1i7b1+3u2E4k2SKQl5dHSUOypMM8MEFulNmEIs6KYHTI4AwfmEN8jivzSChdwqxZ4C/Z0PBFTZo0cRJ/QINgjAQIRkI9Eb722mu0DA7kaBPSxhR+Eq9I9KZLtc5ql2zvqDbf3mTMb7nlFo5vLW+SNcO3E6YT4yRpzpu8u+8n120EY+DtCu/uXgyS3/kJkxFPQDXdqZycQfpfor8q18Yla36J5BhvG1HMVJy305aVWdbznV8W03sl7gMVeeKGtizLf95E7+rB8yAYn/9mUdxayWsCgYTwRQUx1gTgsikEhIAQEAJCQAgIASEgBIRATSNgObOEk8FRuNCvwKa0YG7UqJHpBAgB08yWBGNV48aN4cHoIBPYyxo60EfGyuhVwnLAoD2SUMkBw4UBOZrRWcRnuoUpfUM/pWYceWVsCY65/jhhgqUSCNBgBZuwcH7j3UGDBnGDRDASN5iSYGQJdi666CKHjA3OPfdc5LRvDsQf0hebQnlMDR8+PLAk/Lj33nvT0Xv8+PGBqSeffJIu1fCExxxzjD9F0jcvIcX3eG0gZv0pxiTnwjtBQBHM5k+l3yX9HWE/5b1X4u585/1xHOb0YYcxxh9XkDBOM/J2wu9bWJL+vGjG7R72M/LtitzdcLBIYwtfpNu4D05WHgYW5tojudLQjPR84cuAxwo9pP0KDCFfSjKG4wwhE/vN+fH4zzJhirRfoehiwCBbPPifH0b9sL5saWBWjzWEQNf8ksjARSek50sNbS2zQkAICAEhIASEgBAQAkJACAiBGkKABgqQQpG5z25H6tqhwyeSO6oEkUIwFUwXBq+44opOnTqR8UqcJI1iYZb4MGtbV8Ky89kflJaWUqiN7YiLI9aLjEsStEnFJRwOIanfMI1OP6Vv6KfUjCOvsADtQ1QhVJu1SA4TLJVAAN6PfihcKEcDZPoyGzlMqCTHRJKyACaRgbB5uAcxixuODCRP2XDDMunJU6ZMGTBgwP33309/avSff/55h2TCwIoBQnW2a9eOu8D4e++9R0wjUEBGEYGJqSuvvHLChAnOyIUXXsiJ+PTv398JbWBZ/Ey1b9/en0q/S/o7wn7Ke6/E3fnO++Mw5vwS77zzTlDi9+KjFNZMuJ3w+xaWpD8vmuHd4/yMfLsidzccKBi7/fbb83pw5KKiIh+crDwMLGwYj13zS63hCyxiix7fPTzmh3enL3tl0uLWoxbQ39nox0M7zUxZqrFhYJLjp6iQYEQhx48g94SAEBACQkAICAEhIASEgBAQAgEELr30UpiZyNxnpwlvgw7/wPeJODdbOSIFloBmyltttRWW3YdEyDFjxlTRslvuDwoKCjgp7ITbiwEEFzGZ4UOl8c2Mp9FMIK8wQj8UPIH/XLlyZZhgqRy2mB05cuSjjz56zjnnHHzwwSeffHLbtm0tyA0+6oADDvCRSRjT33nrrbc2xJ599lmnSTzhXXfdRUihA5OUZ+LoYImdToUDqinyRjkLDIi6NAb7/fff52q4LL8JjoFj/YYCxinAyHL0Fy9eHJhKuUv6OzL7ae690ncXOII9hjHnyMcee6wfpxqnGXc74fctLEl/3rjd4/wMv11xu5vla6+9FlN+SQGTZ+uhv6rBjMl7fnvasv0/WE8nGqnI321fn3J6z8IP8kpWbpoZ3WAOXk8P0sBSpMvW/pc+Qfy1z7KyX4YWrfyyeFU9vR25LQSEgBAQAkJACGzOCJStXZW/ZPy3C0Z8UzSQLwMeEW7OmOjsQqC+IADrBRUGFdOnTx+/c0cN+b9gwQI6R5OaTfgiXSfiui3b7ul9S69ZQ+dKaZbjQ9EEyhsmr4V9LSwszM/Pp1dOWJPgQzLr+/XrV1JSmXgbVhFfB8XasWNHn1gOb1QVSc3tUif3DuYQsN26davw91LF2wljntV50/iZ/HaFHahQkpWHFVqrdwowPIPmraTv8yNjfnh50uKOeSXzVm4gferdYRq0ww2syUuTzvmw2V9sYBQHzF3JI4n5DfoOdTghIASEgBAQAkKgASIAkTixeKhRi/5fhOIYG+B960hCQAgkItCrV6+WLVvC2kVqWZ/lG264IXJWQiEgBISAEKgdBBKCGJmqHR+qaxf6mMMo9ipY/z9CjV24mkey8qvLfu3YoU0S1Cjk/BNfL6TIwKLVsc2Vascf7SIEhIAQEAJCQAjUPgL5S8b5vKI/Zqr2/dGOQkAICIE6RIByfMQokmke6MCCS0SLHXTQQdRmpLNPHXqorYWAEBACQqBs7TqfY/xoZol9ETJVv/A5r88cGMUOM9bHseeXruHx4I55dX6KWaVrXp28lDZGf5+45NNZy+M6rVOetFW/udaQHc/tu/3rU16cuKTOjyAHhIAQEAJCQAgIgdpEYML8IT6p6I/Jla5NT7SXEBACQiAXEKBIHRwj1RfpZeP8ycvLa9q0KXLiG51QAyEgBISAEKhDBMiVHjT3x0/yS/gy4LEOnan01lf/ex6kXNtJS80C9GhNUKTTl5X1LFhOIvbM0jJX7zHO53aTl7rOR44z/MN7M14KcYaQkI3Li5ce2SX/sbELqR7ZcWbpA6N/ML7xyn9/v+qXesb3xmEiuRAQAkJACAgBIVAhAj6jGB5XuFwKQkAICIEGhsDq1athF+ESae2x5557HnrooTvssIM93nTTTcw2sPPqOEJACAgBIVCHCNz5ZTEk3uNjF6b3AQZy1A+rYfMmLf0pctU/pi979ptFy8ubE32YV3Lghn7oxhZCFb6/IWAysBw28K4vMv7s/NbUC/rNRY2U7b5zfrxh2PxG7TPRibCIbsmCVWv36zAD4bVD5wVIUeIwj+46i6m/jFzg9DUQAkJACAgBISAEGjYCYVLRlzTss+t0QkAICIE4BKZOnUqD7PPPP/+kk0666qqrnnvuuVGjRsUpSy4EhIAQEAJCoHIIPPrVQog4aL00y0lVvnTg93v8YzpL7Ltvhxn0QA+shUJkNq+krPXoBQx4JE7yhQlL7hm5gPYxttCnCt3yW4YXMfv7f0yfuDhIXUIzkvjMbP8NVS6fGbeIx//pXeiW+wNSp3d5aypEZfEqNUvygdFYCAgBISAEhECDRUAp0g32anUwISAEhIAQEAJCQAgIgdxAALqP7uRnfz7n1O4FF/af+970EoswRAhNd/Xgec7Nk/41G2ouTPHRPwVNvuQjtx61AE7yzN6FjdpPRXLz8CK/RuJhH89EaATgHf9X7IcXEqNolOZOb0yFA3SbMuARChFKcEKIXTQ1whExC8NpjxSK5JFYSt+IP/7fcgYSVtMXaiwEhIAQEAJCQAg0VATU5KWh3qzOJQSEgBAQAkJACAgBIVA7CHxZvIoShRQ5DG9HS2U4Q7g4vtu9PmWbDcGH+3+Qhz5pyMjP7zvHLWxanlw8rGgTUw+P+QG13f8xPbDFN4t+OvyjfKYuH7Se98POieXbUQgR4tGZdQM4xiM6Z5aQRu2EDG7/v0xy9HVDNlKd/izjwhVrjv1kVqu+c7AAr4gyWwd0/MfJS39Cp951xPaPoLEQEAJCQAgIASGQHoGytasigxgRMpXejjSFgBAQAkJACAgBISAEhEC9Q4CCgV3yS0kZJrTv+W8WjVkYEZL352HzyAWGKow73V9HZaL76LkcUJi7Yq3FEzbrNvudacsWr/5l5c/rvl64+vVvl+76zjQiFWnvwsJTuhe4haf1+A7Jv2Yvd5LZP66BltzxjamRRRexuee701FwQY9nfV6IhR3aT2V3Z8Qf/G1CJruZJiy+0DKv/7Mg4vi+mo1J1sbCJRuiGX2FZWW/0PyF4o0D5q4kTpLijeXFIH0VjYWAEBACQkAICIGGiQBEInGM9Iy26osMeBS72DAvW6cSAkJACAgBISAEhEBDR4B84Qp7JYMB0YCuJiF0mfsSdEdGsw+SdTOZumwToa/wdHk6MDUMfSHj48prHp7es9BPYTadGSVlcI9wg+xL1rNb2KrfXCTvTt9YWRHeEknYuFvSMS8TBklbFpMQzchjix7fOYXA4PPCFSgQKunkwIUETtJJkgdvTVuG/uGd89mUjTB1wId5BFgSook88P12SSxuybtoVggIASEgBISAEBACQkAICAEhIASEgBAQAkKgJhAg/IzUVELgasJ4vbNJivHfJy4xt1f9sg5woAepJeh6kcSdqOPMUuPBoMjenLpsxPxVfAkyJNQQOc1T5njhf03Kc4oD6cm+5fbfZgIRL/PylJm1POL9O+RZuUVf38ZUO7SMaXTcLEnKmHpxw6GQW9MWCEmnExjAXhIMianSch7zthGZZOerNg1Q9JdMW1ZmZ3RC0p+RsJGTJA/AHH37EqMITUpJRhKooVIv7j+XrtNUiaQIZPupSz+aWbowPvIzeRfNCgEhIASEgBAQAkJACAgBISAEhIAQEAJCQAgkIAAV9Kee3xHhlqATOfXA6Ew8Gw2CI2dzVui3Gol0smjlWnKHE8goOEOILPqk+MsJnAMNjC9YtRZq0bFen3kpxr6+jeHTdntn2ravT6E5cmCWe6F5CnZIl3ZTzctZx14FK5wkMOhUTlcGWipD8WGnzehg3rS/9uKBmXhF0qWd8N7yXioUXTTJip/XBRScpj+wxOrR5S1XHiqPeLw7vjM1WGGTIo3OArUckRzccaaTJA/I4EYfOjGOO01erlkhIASEgBAQAkIgZxEoT3Mev2ma83ilOefsfckxISAEhIAQEAJCQAhYC2Bq1mUFBcQX3M5NoWzcrIzUjjK8H9m4d35Z/MdOM0mepa3Jn3p8R19jCK6wAxeWpwYTQxieMsmQeSs5+DFeYi9ya4lSvGrt0eW9UaC8oBbnR9n3zb4wIROAF5d03H0De+aWnNdnDvodZpQ4SWDQb86PKJzw6WxfThgkQlca0Z9y497l2coEH9I5xT5PlneLpuWKPdLcGSNAR8wqfZlp5UxBSLACSY580Id51E4kYhMdvpZYbae7Pr5dCySq6bvqiPCEXBB2iALd4EjS/yW8EwscMEnpv/8dNG/l/5u8NJBvnrxEs0JACAgBISAEhEAdIgCROLF4qFVQ9P8iFMdYh/eirYWAEBACQkAICAEhkICA1d+jhUeCTniKfF64HSLfwlM1JylZsy6hxQn7UsSP3sSk+tLExNwg9I5oQyOyIMGg/siiJWgQCQenr0rAWwgxpiDHAnL3aFF2UGpOwoACgKwyUs6POfR1wuOrB2f2Ir06PIXEOD0/wO/qf2f0acgSqY+Q3igoBDomk7aM0AESuRYuFB2+9GoxhXaTM9nWrgOLndp0/L+Qgb//x3TQgHElFPbC/nMhHuE5MQJJiyYkZOSOJjTf/HhRSwMnTzxhFVnPXDGcITr29kb2nTEL0MumUyHfm7CjpoSAEBACQkAICIHaRICeLD6v6I+Zqk1PtJcQ2EwQ6Nq165Zbbvnggw/W4XnDPqSR1KHDObj1Bx98wD0+8cQTteZb+I5qbeuc3UiY5OzVyLFaQABCjJi0ZOIu7AbUHPQRfF14qnISCEEyhWlTEpcC3LMgkw9Lgb6EzikD52bCC0kuNh8IKaQiHxJywIk8dPnRsG3E4CHn+/Kkxb7DJie91xf6Y+P94Cp9obVEgQx0jJw/GzcGw7enLYsjvnqUnxcPV28I5yMIk8fHxy6MMzizNFPVcJ9/bozosyhBaMC4JU5ObxTWujA/69hyTp/1meB0gmaWA34yq3TwvJXjFq0GB6u16CwEBsRwsoQQx4Dcf7S6jtO9tjXwk6yKi+q0tad2L0CHC+XR7sv56Ru3sQWCEmYZnpJECAgBISAEhIAQyE0EJswf4pOK/pik6dz0WV4JgXqNAJTIFlts0aZNm6qcYvDgwYcccki7du0qZyTsQxpJ5fZqqKsgGLnHxx9/vNYOGL6jGt26iu9YjfrmjNcyJm5fDeovAvA2nfNL7/qi+IzehXAX8GxXDPr+sbELqapXfw+VledG5UHfRa4iJu296SU02qBs4FmfF0JgwkcFNEm/peiftSz5snjVUV3yYY34JlTto80xCgRPBky5R9aiQPSdSSzkDycjE8C5QZQJovN9w1WENChxNgMD0nhRCFB21hJlxzemQsQF9LN95BWCmqMEIuCwEV+YUTPy6FcLeeSti7NJ/CEKuOEUzFuy4DdEdLqZ4ADykLXEQNqEtXg+6V8bs633/meGgYzMK3e2iBeFLTQ8LZc8mdmjATQ2RxZvjFccs3C1ZUlPXvqTM+sPoEBpM01LF/ZCzs0SQomRN6LeCmhz4zDhS30jGgsBISAEhIAQEAK5jIDPKIbHuey5fBMC9RSBfv367bPPPi+++GJV/P/0009ht+6///7KGQnTMmFJtfhZOffqxaraJxhr+Uaq+I7VziXWMia1cyjtUnMIEPK3VznZAq0R+MI70Q6Ytrw1t3vtW6bSHewNQX00R4b/MQfohMLZDwn14yDcDl7RcpBRgCwyiKDLCEH0nad+I1PE6WHT2K0DP8y7dOD31AP01fyxNTEhBXh9/rM/Vz6myiI2rfMyfyHW+MaFCLLi8kGZBih+/Bs1BpEgD9neKIDdQseP37OWKKT3blTKZgSpSL9maGrjyjAOSUiytpFjLv+XYEumSKyOsw34KPB1QY9oNv4g04DGGYlba1dm2c3oQPqxikbhTt+azhDB6CThgcUfGsHLrwAL3GlYzUkgMNEJ3DgMKkKYyTBby7ksG93vLkQUKPp8eaNmla7nsdGkBYwByE/S7aiBEBACQkAICAEhkPsIhElFX5L7/stDIbB5IlBF8idMJ4Ylmyew6U9d+wRjet+qRbOK71i1+CAjQqC6ECBm6tqhmRROvtBBVM+jNh1hY0RtkTd6w7D5O72RqXcHXZZcRK66/KkWO0SaUXLQMYe+TeK+KGlo53V/CSOkYwg1G5FQ3c7XpzcHIZ3I4QDfmraMjsykM6NM6B2kHD1EnvV6IlsfahqC0DUYPg1mzzcVOSbHGUoT+5/O2oSrNGXIJabot2KPljwL2xlpyoQwe4TD4ZgLcexY3oiZqMuEVUYD+nGPT5W3RPGJyoTl/hQBgbxIuM2XWEosQF8PL1plXU4sqpNHW8L7htr5fTdpYO1bI3DUTLmgR2YtfTuu0qMt545sIRSuSXilkUDQOfvUPETStEt+HLvLXVuUoyEDtugHcsmdNRtwXnQC4YVEXRpRzNsFn2llIdmU5tRUekQf0jJQUpLkehLDmeLLr++wj2dCLDOGNSVQFoOBffUoBISAEBACQkAI5DICSpHO5duRb0IgDoEqkj9hOjEsidtackNABKPeBCFQXxCApvifcvZstw2JvWHPScls1i0TlAVZZDXiwjpVlJCdnZIvgeQkRxg+EMoFpogB+b+ui4dzwyIJferPpmgmAvMGUQPbRpDY0KKVcIDkDu/81lT4wGFFmQg3Zp0dBlQgREjBw3BFR3JvcQODrp0xTBrKp3QvgAXyk2R9g+Gxhasd/1lEarYxYI+MWV8+0ULdiJAMG/ElJ5YH0cFQmZABXvmpwb6yjWkTgw51CN2UtURJjnt0ym4wdVnZAR9mTJEpTBRfuLYk4DDrjmBVKBE6C4EB6cPo8/Xzi7lZJLyWAWX/0VWkdDSvcZW8xk6NF8/YXZeB7qZs0HpUpqylc48UZh4DueSBJfbChA3CH9Lmm7cFC3whD11sJ7/ByJBUHKbJDuGdZOVzQby0D4/5IZI2D/igRyEgBISAEBACQiDXEFCTl1y7EfnT4BGYPn36Y489NmzYMHfSiRMnIhk9ejQSZp999tlmzZodeOCBZ5111sMPP7xixSZJZ+3bt0f54osvJkX6xBNPZMxn1KhRzhqDSZMmPf300yxv3Lhxy5YtX3rppfz8jdlSKITpxLAk7KfbYsKECQ899NDpp5++7777nnDCCS+88MLq1Zl/r7FRZOp3hf5khYBzg8H8+fNffvnlSy65BLgOP/zw888/v2fPnr6CG1fog9NMOfAJxrlz5953331HH300gJx55pkUZmS7gJ0pU6ZwU9OmTTN5375977jjjnvvvdce161b9+GHH5577rlHHHHE3nvvzd8rrrgicK3hG6kcbgUFBXjLxeHtYYcddt555/Xv39/3Ns075iOPqbvvvrt79+6+ERvHndqXjx07FmROOukkTv2Xv/zlyy+/dHbIgL7zzjtxkk+rVq38X43pVBcmWMv2rXZOBgY+MgnvZJobr9z9BvzRIwhYiii9MMZuSBOOhAVexaitQDPfSOVkIWF10HH55VmfBO/9Y/oyyglaaBZuEKYFHeQal/imyN6lpa+RM/TbhY4jJMxyYFn47ZIyX9kiCfnrC43HI7qPyExfzhiX6BrsIhutFB5yOqoQpsiScGarWXi1PATOtRW2PtQ4SeRnYIuER2iu/TpkYtUgPANqcErIyd02uXno04ABfXuEyGKVoyUJk+MRbCOVTWhxdD4y1hKFdtUJq8JTxlfTeZlDRX6sRCHVLG3Wko737bAxqjCwqn15fjf++wG0rkph/7nrSdTAKgJNiTyE/mUhTXZsFhKbR76+b9YwBeFfRy3wXzzykclZ5gWDfKbRjLNvueT0/naSwIDwQqxBDAbk9kh9ThLzyZrnteeLMtUpIzUlFAJCQAgIASEgBBoSAmVrV0UGMSJkqiGdVGcRAjmCQJjKe+utt2ALn3vuOeiUX//61zvuuCNky/HHH7/DDjsg33PPPeEZnPMwaQgDHzhJp/DOO+/85je/QYFKjy1atGA54+22227AgAFOJ+xDGoktb9u27W9/+1tsYhn7u+++O+ODDjqoqKho11133WWXXdwuNkjjT1YIOPt0IWE7dm/UqNHJJ5/sEGMQYGXT+ODMphw4grFXr17A6wDZY489GAPRu+++65sy/Y8//njhwoVHHnkkOnz2228/dBYtWuSu1YjlJk2a/OpXv0Lh+eefd0bCd1QJ3N577z3eMYw3bdr07LPPhhS127zwwgvdRs6Zch/X//HfMR/55s2b02/IvD3nnHOWL9/kX5Fxp3byDh060IybN+e0006DYNxqq60wNXToUJx56qmn2JvX+IwzzoCpYwrNJ5980vnJoFowwU62b7Xvgz/2kUl4J1PeeCXu13em4Y2nLSsje/fWEcUQhnwZ8Igw+aSQijAhZECnqa9I+rBRK3RCCZuFuiHptc3oH4j1glyC2YM5jMzitJC8q/79PSSeEYaEDtJCl868UHz4w5cAvEBAI4+WdctfP5INr1r1zWSkQjm6jGDcs0hC4hh9V0lbRvOjDQmz/hRjMnAtGRwdK3iI0CLlAnb8hdBMuE1YGpF7yK0PNRZc52JfOWH8SnkpwkAWMznFuOSTb5au69yLM0igJj6Q+W4KFgTopwaHF5ImzBK/GmG4JUp4VVhCfCB2Il8SlIGL60bhpYlLbC03C3+LJI7CtYhHFFzQoy2EiEYIIKN+2Bh1aVPkaMOmYhZqER2YQ5Pz1yhHeGMnYUAKORG8aJL7zHZcNxdh4YUUJg10ACfHGU1ePN+CP+ZnxWswo6SCX5+/RGMhIASEgBAQAkJgc0AAIpE4RnpGW/VFBjyKXdwcrl5nrBME4iiR66+/HrrMJ5TWrFlDGBscCxyOc3XVqlWwZx07dkRO/BtjPj///LMpEExonIwfQTdy5MjddtsNHslF94V9SCNhCyLNsA8tNmPGxkgMItAgiKD1wgRjSn+MSEmJgJ20c+fOEGUwewTOEQxmwtLSUuLc8JAwQpPwN6UPTj/lwCiym2++eZtttjnuuOMIYnQLiYUzmtGP5zR9/kLfwaFdd911hCzaNRGJis8EhRYWbqweNmvWrL322gvNr776yiyH7yhb3MaNG4fB/ffff/bsjTl38+bN4+5wAIrbNkp+x+KQv+yyy+zdYLmDIu7UJr/tttug0zmX0yd8cfvtt4e1Jhp2p512srBem8V5fiC8xiDj9KuOCaayfavd7oFBHDLhdzLljWd7vwF/GtgjkWbNuhWEvzCNrvpc5JEJo4IqIeM4cjYstP7F4QKARJHBzGCKr9FHNqYThx8RZwY/yMvU3Du3zxw4RhhLMkmtNJ/NfphXYhQQvT98B0hGZhXxk36nD1MglIz8ZWY7zNjYVJcGLkguHrjxPz50+kBCnqlvNjCGiUKHr0t5JjWVR6i2gKb/SOMSdAiPRGh9qOkCEyBIff3IMfmz1mTHbY0aKcZY9ulNa/ARCNcMG3x8bKY1M+m9NkVyN49wlWFNJ7EUaXhpJ4G4Y5XfEsVNJQxIH2YVub2ROhZEioKLrkTNru+ekRtpQLcWFpEAQt4WlrigR5sl2pDKjch55aiHyR1BUfK+0U4FSpbIQ85iANKlxRlkiiVh7p0Si7wt0JJGMhNSS91LTIWz74mNdAGuzqwGQkAICAEhIASEwGaCQDlJOH5i8VC++UvGix7cTO5dx6yPCMRRIpAzkCqBE61du9aoqpkzN0n7iqzBCL0GOQMts3jxJv9oxeacOXPgwaC2zH7YhzSS4uLibbfdFtaL+KuAn3l5eWzNEfwIxvT+GJGSHoGysjJg4USQTgFPSkpKLPIT2pOp9D4E7FT4aBQZfBf57PgT0CcNGShgz6B/bcr0iU3deeedHWfIFFQtBydPOWCBR8IdmSLb3abCd5QtbsakdenSJbDXkiVLOIh7PWw28h1LQJ5VN910Ew4/+uijzn7cqU2OMlS5U7YBmePI+Tg+3CkABXJHhCKvOibZvtXOmcAgAZnAO5n+xrO934BLDekRTixMLTpJ824FD4zaJE3YnR1GxbigL4s38t5uNnIACRbODIX2gSeEUrt5eNGAuaj8l0hCohmvK6fdIHOe2ZCgajZ7lZNmZASzuysS6G9nwYeBcLv2UzPhanF5xxYVSe07Z8ciCQl3dBLzh+xUJwkPqIPHLnxdqjKME48WXMfR4M1oFEJxRZgreF3YUTJhLbSSnssYtD7UAefDG0VKLNzuCq/XM8Uh2Z29nL6FaxId6iSRA8vSpc2NzcLFWefryJhSdOB4LfIQ8J3BcEsUN5UwIHUdn41uDahhkL7bVh+ypdfVxUIleR/oOu0yj8GcNwe3wdleiQDnbMZJoHZxp+xrX0JVrbs3oblUnvRLcVLD8O4viuOiJc0msaxhHjtwFj0KASEgBISAEBACmyEC0Inwin73Zx7FMW6Gb4KOXC8QiKNEIO6gE8NHIEYOUqVPnz7+VCT5Q+k/NEn29DXd+IEHHmCWFE4kYR/SSG699VYsUPPQ2fQHRi75BGN6f4xISY8A6bp4gj++A278xBNPMPvggw8iSe+DW55y4CgyYzLDq9q0aYMbOGNTTh+ofWUKHhKK+frrr/tCGxsTRWFJewzfUba4ETaJS7179w7vRfwhGco+Uxr5jiUjD51LujpUM4ylbRF3apNTbdJFnzqXiAPESQjk8BQ1GJm64YYbnHLVMcn2rXZbBwbJyPjvZPobz/Z+Ay41mMe42EVHMJ7crYCUz49mbgztc2eHzIGNoaafk1RiQMAYRogWIy4xvJxmykSCQRzRltrNwmcaCxTXnpjwMAuDJNHVrbLahnFtSmClAs1ELJKQ0Dhn4bzyKLh/VVTvzkIEXVk8eyTszeIqzfPIv1arMLIPtfMheQB5S6IucLlWziRfs69/NEvZdrnPcQaNF4VldQomievR0zW/1A71oEfAWksUAgidkTQDC56EroRJdvoQm3+bsAgmkEqPxluyHe+eC5iEnTYHQIA4VaasGYoFYdrtE6boDPoD2ELqKMKmYoQkfahFv5Sir6mxEBACQkAICAEhIASqgkBkoxaEVbGptUJACNQQAnGUyEUXXRS5o0VtvfHGG/5sJPlDPT2oqkARPLdq/PjxkDNQTEjCPqSRUDmQ6o5+AqwzzsDs+wRjen+MSEmPAHGAnMXPSvY9IWGctF/juNL74FtIMzaKDFIuTplmHzhJfKMpmD7lCuP0w3K7lFNPPdWmwneULW6mf/DBB/u52OF9TRL5jiUjz8Lbb7+dU7uGL3GnNvkFF1wQ3n3IkCFYoIVQeMoYVyo9uqmqY5LtW+22DgySkfHfycBC/zFw49ner2+qwYxJ83REYtwAgpHyhuf2KYTVCRycBhZQOtcM3pg9GlBI83hGeQdqP+wtsMqa8NLMwrXEwG2jknwCKrDKWpkQD+nkcG7GOBHEGCig53T8gUUS0iDYCa0Rdjhl2ynYwLreuBBBS/3GDnF31OWjpTJRhYRBQme9M20ZPCSUHWFyhSvWWNos0ZucDlo1YDblI5ZZTosW9I2Ia9VvY5Y3Qiubif2EGo/WCxtq1GcmLR2eSw97Ah3HS2JFCG/xqlYSsWk35aIKw2vDEpRdLx6oQkCjuqPFTx7ddZalTlOiE+IUKhXW0VkYNG8lDWKadM4nVRzAcdh1dQFbUpVFGzqsNBACQkAICAEhIATqBIHILi0EMdaJM9pUCAiBZATiKBFi7SIXEpEI3/LKK6/4s5HkDyUQabwyMOZD22Lq7xlvE/YhjYSEX+z7bvhjKkbSg8MnGNP7Y0RKegRwg0Rjf/e4cXof4izEyY0iu/TSS+MUkIMYPUpMwfQJFEzQhxymczS1GQl4w7L1jqmQYEyPGyGyp5xyCq8TRDEdXl599dXJkyfH+RP5jlWIPE1ksP/MM88kn9rQcE20fR+MYLzqqqt8oY0pFIDxNARjekyyfavDXpmkQmQiFybfeLa/i8gt6ruQsK44XtHJjWBs0aPwH15tPTu4pQxHFr5LiYz1/yVWLZw37SwwZU0xHLMHPWi0VbgOnlsVmQhsedDl9N0USiPe+WUxedPkYkfuPqt0DZps7WweVd7EhB6+ThI5IHWXhX/f0ILEaEl2iVSOFBqZVrkyfRRLBE++8Gn4gCdEgQZ2uXpwpuQjAZmOs/UV6LVtScqBzHSLUSQ01JrR+EuoIQkbaUnl0Hr+lMVtpmF0/VWcnZ41R3bJZzm0MIQhLchJms6KqPQNaiwEhIAQEAJCQAgIgVxAIJJgRJgLvskHISAEAgiEqTyjEfzKcv6SlAQj/B78IfRL8sci7sI+VCjBPpaPOuoo37fAGK7GEYxZ+ZMVAgSDcdKE0EHnVVY+uFUpB0aRtW7dOkGf5trUNjQF0/frE7qFK1euvO+++2iUTACqXR+8KH1AoOl4rJBgzOrNIe+YaFjQgw22vShZedZZZ0HrOX9sECYY0yBPRyHMXnPNNcmnNjQiaUAjGG+88caAPzymJxhTYpLtWx12ySRpkPHXprzxrH4Xvv2GNKZVtCMS4waOYLz7i2DomqUMU0Kw0phYzUD4rmQLVkjwfzdUYoRlgh/jCxUWt9DIT8fyOTXajhDRZ6yXGeEvFBYRjxBxfoSbRRLSR9itZSHKLjTRyQOD03p8h5or1UgwIY9hT/xVMKWUfyQqz4S7l/e7qbDRs2/BH1MhkB1JNCYOkNzzcLcUSEjjbEnKXlK2SS8VIDVG9I+dZvo9tc2+69lNucj3Z5SQVkxCMUGGxEPCu05a+hP7EsDpO2MtUcKcpK+TPI694+RlmhUCQkAICAEhIASEQO4hoBTp3LsTeSQEYhEIU3mVoBHC5A/7wWXtu+++VGtM+IwYMQLNsA9pJDBRLh4vfDxj8xzBmJU/2SJArxk6WYd9CEvSYxJemywxiiyuDqStpcYgoNk4jlIjhpCzQModeuihTz31FPSaS3K3JOvqJRjdoWhuQrVD+jjT28WYRopGulkGke9Yhcjz7mHt7rvvTj51HBqsqk2Cke2yfavtXOG/FSLjlqS/8Wx/F26LhjQ4s9ecOF7RyR3B6PfUMBCoZwihFNk4IyVK9NjFgt9BI3IhXWBQoxGwmyVCD0mYOnMKMGAo0I/DSfwBRCKZwvSMpmAghRyN0EPfb4+CvkUSZrrOlH9gONGx7GPfWmBMfxDUIEVNbj2v/VqOAX0eLa8Zss6mDvwwDwt+M+jwkgQJFQXhRX//j+n8jas5CR9oTZ+JPITgJdGYrtm0VKZeIltz6QHi0bYDcJhbyzRHzb4QjD0KlqMAb0n6OV2bfd+IXaxcKKZvRGMhIASEgBAQAkJACDQMBOjnEghi5FFNXhrG5eoUDQ+BMJVXCRohkvyBXfzd736XBrGwD2kk1A+EryNYK3KLSZMmwSz5BGN6f7JFwDwJNwExx5DTpnn69EzaYHofIg+VIDSKjNi/BB3g+uMf/2gKcZQaPVzA7YUXXgjbsYC9GiIY/e3g9Lg43DD+2aYi37Fk5Fn44osvYufNN980I3GnjpOzqpYJxmzfajtX+G8yMv47mf7Gs/1dhL1qAJIsCcZNSvlxfMoJQjHdOqKo0lBA6GEhsl+wb9MyqelX4oTWOSVcFtIpPPX1QizTCtlJEgZUGiRb3PrCQGY6zUAkYb85P2LzgA/z4gMn1/eARs1xlXQTbvxBhjD8aGaps+wPCBS047hm3E27Ztoouz7UvnLK8Y3D5mOBbwJ5C3EKWWqnNmWYQ7aGlfVLL4Z3nFFSRhsUEIOT/M+C1YowDEMkiRAQAkJACAgBISAE4hCATiSOEV6RLwOxi3FASS4E6hyBMJVXCRohkvw57bTT4HZohBF5xokTJ5IYSyous2Ef0kiuvvpq7Afazbi9rNu1TzCm9ydbBFq1aoUnPXv2dLv7gy+++ILZ66+/HmF6H3wLacZGke20006rV6+O1KcWJm60bNnSZiMpNXgnLJAQHUmWUowRC9VFMK5YsaJFixZxOd3vvvsue/lBjJHvWDLynLR58+bYoZJkwqmZikTDltQywZjtW21Ohv8mI+PeyaxuPNvfRdirBiBJmSJNF2nSfsMp0m0nLYWYol5fVlCQLMwSy3dOmXQ8srxtNA0+3EaHf5TP1sidJDB4dXLGN8fyudkENoySgyy5wGuJApeIxEUSQrtZ1B/cmjMYGNy0oZextYS2WahF7BBS6MpIulXQjxf3z2ReUzTSCak3iMT1oXby9IP80jU0QMFIQplKswYg5GLj2CezSv2m2+n3kqYQEAJCQAgIASEgBISAEBACQqDhIRCm8ipBIxj5Y2yhg8gsR3bHQMeYH4gdxmEf0kjy8vIoEkiWtDVodvsyIFxwm222oTSiTzCm9ydbBOCvYLHiCkLecsstzFoj4/Q++MdJMzaKjI1ee+21SP0zzzyTWegym42k1MiGphZikyZNIi2cccYZWKgugpEt9tprLzKCI8nMHj16sJf/RkW+Y8nIEziKEf9eIk+NJ3FypmqZYMz2rY68KYTJyLh3Mqsbz/Z3EedbvZZDlLlU6LgB2bJGMNLyOHBYotegsAiB25BDHJiPfrTEarqrMP1EeZyhyyaOXvDf//YqWMFG9Jt2Cmakd+EKJwkMOuZlsqp9lo+uzZQK9HscB5bQg5glNH9x8nAkIbnA6Oz9z+nfLPrJqbmBMa7GMQZyky3ak5zrv45awHHoGQ31R9XHwz7O5FPv888ZfhsUSE6EFRZ7dPuGB5RSJD/ab4Ed1pGkQSKwfM264fMzdDFfBjw2yGPqUEJACAgBISAEhIAQEAJCoKYRCFN5laARBg0aBJNz0UUXBbxt3LgxHODbb78dkBPsh/4ee+xh4XZhH9JIsEnzDuxQM9DvPowzhOERwUgknk8wop/Sn0ogcO655+IJrUACdBlxg/Cc7FtWVmYgpPQB5W7dutFemc+iRYtsbcJfo8iOP/747bffHgQCms8//zzuHXvssU4eR6lRp5Edx48f7zRt8OSTT9IpmyTrY445xiThO8oWt+uuuw6vXIFEtyPdpY3MHDx4sBPGvWNxyE+bNo1OytgfPny4MxJ36jg5C2uZYGTHbN9qd7rAIA6ZwDuZ/sazvd+APw3jEY6rwizp5t0KTu5ecM7nc8L5yFAXlmCbQPQFgILssAYrkJNMDZib4fSS6xOi9tjYTL7z1f/e2AuGwolIYBED9t3j54UZTtJn+QhEREIyclz+L9nEKPglFi2S8F+zMwUG3cf6U1MEkhKOdGpGzqFGzF9lzVxofEyhQuzAHLolNoAwDDSXQY0vYZaBYpJwuSR3u4zpgJ00jxYzSbeXNMrSaTAIQCfCK3aaWeK+PIpjbDD3q4MIASEgBISAEBACQkAI1CYCVaeJ8HbevHkQiQQNQhbBQjh6ihAyWD5IniuuuKJTp06zZs0aNmzYPffcA0/Fh1k7adiHNBLWwuY98MAD1q7aOh1DLbLdKaecAkmFJFAEMqU/lSBSaIBy9NFHszXdll999dUpU6bAa915553AwkknTJjg7jSlD+hbzB42Fy6suOesUWQff/wx9BQ7wq/SM4VwOPKaIX4x8oc//MHqQJoncZSaFS2EmG3Xrh3p7Vzle++9R0wjrCPEFPGinOjKK6/kROE7yha30tJSilLiG1GRRHhS45EdcdiQPO+887hEh1vcOxZGfsCAAffffz89xHEVZtVZYBB36jg5S2qfYMz2rfYP6I/DyES+k+lvPNv79Z1pSGM4urjYRZMbwdgphsq7ZGCmiCItmP3+ywn4DCxnFMneJTUYtZI16xq1z5Bs9ByJW4Xl/TtkUpUJ/HM69FxG0m7yJv1E3CwDukWjQCa1L7RwQeIDw96SIwxnSM9lPHRLIiMJWUuBR0tAZgsYS+vIzPh/ehda52VCJUmmdnbcYN7KtXRefnHiEoI27/yymP4veSXr/8cap1MtA9q14A+0Z7VYk5H6gsCwopWOWnQDhPXFf/kpBISAEBACQkAICAEhIARyB4Gq00R2FjoOb7311pBFfJ599ll3wKKiombNmm211VY2ZX+PO+64MWPGOJ2wD2kkbvnIkSMfffTRc8455+CDDz755JPbtm1r4YLwbAcccIBTs0EafypHpNBu5q677mrUqJF/UoIG/ejK9D6gWTmCEVLu8ssv9wEHB5q/lJRsErmUQKk98sgjhEH6pyBG1OIA33//fbhHiLvevXuH76gSuBUUFFx66aUY9LdjC5KjfXbRcIt7x8LIk+hNpChsti10f+NOHSdnYe0TjOZtVm+1O2BgEEYGnMPvZMobr8T9BvxpMI8k7SZwjBCMrUctiDssjJlF5SWUJXRroRSbdsnUTrzq3987YevRmXbPCUGMhPOhcHjnTahCAvwQPvl17P9aQSMSFGD/3EYMiNikECJyuq5QBJLgLvq2UK0RYhAhX3KcfX06JiOkaKQvtPGYhatp+kz5RCpDErV47dB5w4o2snl1m5ZK+ja52DR3DrstScNGoGv+xthFRzDynjfsU+t0QkAICAEhIASEgBAQAkIgxxGAESosLMzPz6d/R8BVGD8IEwiKPn36EMcYmK2JxwULFsCluIKBgS1q1B/C8CDiSHBOPmkaHyAnic9cs2ZNwP8KH4uLiyljCOCjR4+uxHLYSOIAab7csWNHnwqucN/KKXBZ8Hik0hO+SP+RuM7gGE94x5gF+Q4dOvTr1y/AplbOqxxclfxWJzhc4TtZyzee4Gp9mSKOMTJXGmFCGrKdzgoPEsU3dmF0SyYHgmlCSM5ftTGal17GB5b3UiEYcnmomGOX/FKLFQy0YKbTMdTfPSNjmU/LU975raludxtAvlGYkUhFYxTdX7KhqcEYUCYc0SISA/LcfCTrvOPM0ke/WrhHOYlalRKOuXlAeVUhApEEI8IKF0pBCAgBISAEhIAQEAJCQAgIgQaDQK9eveiJDA8WeSKIJgjGG264IXK2vgiffvppwjLri7fys+oIbA5vddVRyhELRPcRhUhfaUhFvgx4RFihe8QlEn8IU0dXkbicZXSI9zM2jwThgE0yeWmbwiwpzFggFJAeKKQPX9hvLuwiOdQ0QwkswQj6RBgG5O4RqpKowntjGMjZP64hrOutactembSYao3EYbqF9XdgHXOAZZvXphDhWX8PIs8rjYBSpCsNnRYKASEgBISAEKhHCJStXZW/ZPzE4qF8GfBYj5yXq0JACNQCApQBhEIk2zrQV4WtiXM76KCDiP2bNGlSLXhSQ1uQ4bvddttRSrGG7MtsDiLQ4N/qHMS8TlyiZ7G1Tobdatl3DsUSiUs0T6AoCVxs1m02U+TtPj524fqJTR1dtPqXywZlyioGvuT59p/746a6mSc6znTOL52wOKKVc1h5M5GACenk9Lmes6Ih8KWbya1V7zHp5xIIYuRRTV6qF2RZEwJCQAgIASFQtwhAJ8IrflM00H15FMdYt5ei3YVADiJAMxc4Rqov0h/EuUdnk6ZNmyInvtEJ6+Pgs88+I2W4Pnoun6uCQMN+q6uCTMNbCxO4X4cZxhASREd6st80ed8OM4Z7VQojjz9p6U/Qhk+PW3TL8KL2U5cWLM+6nEKkWQmFwOaDAHQicYzwinwZiF3cfK5eJxUCQkAICIHNBIH8JeMctegGCDeT4+uYQkAIpERg9erVsItwiTT12HPPPQ899NAddtjBHm+66SZmU9qRmhDIHQT0VufOXdSCJ3SFhhik9ckhHWdCNpL4fGr3AuolUt5wVXnb6FrwQVsIASEgBISAEBACQkAICIGGisCE+UMcr+gGBDE21PPqXEJACFQFgalTp9J0+Pzzzz/ppJOuuuqq5557btSoUVUxqLVCoM4R0Ftd51cgB4SAEBACQkAICAEhIASEgBCo7whEEowI6/u55L8QEAJCQAgIASEgBISAEBACQkAICAEhIASEgBAQArWAgFKkawFkbSEEhIAQEAJCQAgIASEgBISAEBACQkAICAEhIAQaKgL0cwkEMfKoJi8N9bp1LiEgBISAEBACQkAICAEhIASEgBAQAkJACAgBIVDtCEAnEscIr8iXgdjFakdYBoWAEBACQkAICAEhIASEgBAQAkJACAgBISAEhIAQEAJCQAgIASEgBISAEBACQkAICIFaRmD5mnXD56/8ZFYpXwY81rID2k4ICAEhIASEgBAQAkJACAgBISAEhIAQEAJCQAgIgXqKAHQivGKnmSXuy6M4xnp6m3JbCAgBISAEhIAQEAJCQAgIASEgBISAEBACQkAI1DICw4pWOmrRDRDWshvaTggIASEgBISAEBACQkAICAEhIASEgBAQAkJACAiB+ohA1/yNsYuOYCSIsT6eRT4LASEgBISAEBACQkAICIHcR6Br165bbrnlgw8+mPuuysMqIjBv3rwzzzxz1113/fWvf33ttddW0Vqll69Zs+bKK6/s1auXWXjjjTfuueeeOGvvvfce7yefUaNGxelIXvu/4jlz5ti99O7dG/wPPfRQHuvwpdI7IASEgBAIIBBJMCIMqOlRCAgBISAEhIAQEAJCQAgIgWpBAGpiiy22aNOmTbVYq1EjgwcPPuSQQ9q1a1ejuzRg4wcccAB33aJFizvuuKN9+/Z1ddIbbrgBT2A7caBv377bbLNNnz594pw55phj8JkPnGScToK86u9M1S0kuFddU7X/K4ZgtHtxBCOP11xzTXWdSHaEgBAQAlVEQCnSVQRQy4WAEBACQkAIRCJQtnZV/pLx3y4Y8U3RQL4MeEQYqSyhEBACmxUCtU9NVBreTz/9FBLj/vvvr7SFzXnhV199BXotW7asWxBWrFjx29/+dvjw4eYGbOftt98e59KUKVPw+dxzz91hhx2222471sZpxsmr/s5U3UKcb9Uo79ev3z777PPiiy9Wo81kUxCMxMFyO0YwHnHEEUQwimBMBk2zQkAI1CYC9HMJBDHyqCYvtXkF2ksICAEhIAQaHgIQiROLhxq16P9FKI6x4V23TiQEskVABGO2iNVT/U6dOkEHPfvss3Xr/7hx42CiJkyYUFZWhid77rnnc889t2DBgkivbr75ZnweNGjQn//8Zwavv/56pFqCsOr0YNUtJLhX36fgikeOHGmnOPvss+++++76fiL5LwSEQENCADqROEZ4Rb4MxC42pMvVWYSAEBACQqBOEMhfMs7nFf0xU3XikjYVAkIgdxAQwZg7d1GjnsDOwdHVZpBb5HGIXcQNPkQnorDzzjszfuSRR8LKq1evJnCRwDymxowZgxphcmG1ZEnV6cGqW0j2sP7ODhw4kPR2CytdtWrVLrvswn9M6u9x5HnDQGDqkp8+L1zuOnow4DG/NPM/Z+gjBISAEBACQkAICAEhUEUEJswf4pOK/phc6Soa13IhIARqDYH58+e//PLLl1xyyYEHHnjCCScQLNS9e/fw7hMnTnzsscdGjx7N1PTp04lYa9asGUvOOuushx9+OJxkGiAY27Zt+/jjj//8889hyybB4GuvvRY36+SEqD300EOnn376vvvui7cvvPACfBGzL730UiTHNWnSpKeffhonGzduTBovavn5+c4aBQM51MUXXwzLdOKJJzLmk9D1I9tTVAJb55sbfP3113g1duxYJ0keFBQU3HfffYADRIcddth5553Xv3//uCUpPYxc/uqrr+IY2IIeN5LB7rHHZs2a5ZTXrVv34YcfkokMg7f33nvz94orrgjACx/IqmnTptkqaidSyPHee+91RlIO0hOM77zzDg6zqVnmHeaR1zu8UaRvJF+zNuGdqRD/NG9dynuJ9BD0fDlvDg6fdNJJ4P+Xv/zlyy+/dCclA/rOO+/kJeHTqlWrYcOGuSkb8EtnrS/P9r8DzmDKXy7vzx577NG6dWtbeMYZZ9DnZe3atc6OBkKglhEoW7suQC0GaEYUatklbScEhIAQEAJCQAgIgQaGgM8ohscN7LA6jhBoqAjQaYIAIQiWRo0aNW/enF4nv/rVr3g855xzli9f7p/6rbfeQk7aKaQERdJ23HFHKIvjjz+eYDDkZKQGKJoAwUgfWNQ6d+7s23RjSA9madLhJJED+D1yJ207eJ7dd9+d8UEHHVRUVEQLYw4SWAWV9Jvf/AYdwtXQx0nG1NwbMGCAaRq5hND/JGT7ZnWKSmAb8N8eOTXuvfLKK5GzASHNkbkdLrFp06bklh599NGG2IUXXhjQ5DG9h+G1SEDVx83Grq/KokWLHLxGRDdp0sTerueff94Z/OCDD1j48ccfL1y48MgjjzQj++23n1NIOYCGhUPmYwTyscceyziSsgYTIILBM8vPPPMMm950003hjSJ9szfK/HR/3TuTBn8Hi1vOwFnAjfT3Eukh6Dl5hw4dyBzn13HaaadBMG611VZcwdChQ9nlqaeeYl8uERLv8MMPZwrNJ5980sch8CtmKtv/Dpi19L9cYkp9H2655RZ3U75jGguBWkPg8zmbBC767KKNoR9rzRltJASEgBAQAkJACAiBBolAmFT0JQ3yyDqUEGhgCED3wbRAuBGySLCZna60tPSyyy6DeYCmID/RHdmIheuvvx4ezyeI1qxZQ1ga+vCTTplBgJqgRB46p556qq/jxtdddx2zyUF6RFKZVzNmzHALWQJ5As8ZJhgJbkQf/oQgRqdPYbfddtsNzq1nz54IOSCxlx07dkSTuC/GfBLCLNOfohLYQt46P/1BeoIR96CP9t9//9mzZzsLdFUGHw4YsJ+Vh86aPzD0CH8144aeCzYjIhQ54aaFhYVuFfFpe+21F07SGsaERoXxF9oNOW8CQY/+lbm11TLAMl4Rb+msUaeRXwE8uRVvdHIGkb7xynHSyHcmJf7Jb11W9xLpIWc0+W233cb/EMAv0R0KJn/77beHmSeUd6eddrKAZJvFeX7a/DT8GNTArxjNbP87wJJsf7nOWw2EQJ0jQGZ0mFEMS5QrXec3JQeEgBAQAkJACAiBeo2AUqTr9fXJeSEAnUIqIrXOIBbCaBDQBQ/z6KOPuikjFhBCTTihDeCUMMXUzJkz3VSYmiCACgZp7ty5TscGEHrQIAQiBuT+Y3Fx8bbbbgs3RVycL2ecl5cHZ8LufgQjNClCKJTFixcH9GlTy6mhs5w8q2p4aU5ROWwDBKBzLz3BaExOly5d3FobLFmyBOLIP3K2HgYM+o9ECQJ+ID8dEhgh2dm+po0JVmSKvHV7NCqMaFiqJjrWMbyquiQ33ngju3fr1s03+Kc//Qnh+++/7wsZJ/gW+c6kxx/jkRayvZc4D03OoSBCA4ciAx05H+PY/VkuBbn/HoZ/xdn+dyDbX67vj8ZCoM4RqDB8UUGMdX5HckAICAEhIASEgBBoAAioyUsDuEQdYXNGgJRMyIRbb701EgQIOpKm4ejgpkzBiAUoPhei5i+0trwuPZapMDVB6Tl2pGCjv5CxMS1+imhAgUf8ZC3BcuEpJEaH+gQj9R7Rh5qL1H/ggQeYJRHVZiOpnsiFCNOconLY+sSOv3t6gtECQXv37u0vtzFRqVCj8Ff2mK2HYYNOEkkwghJhgZHdmY17PP/8882Co8J4YZzNGhoQOshbTbBr4B22d5WqlYF9E3yLfGfS489GkRayvZc4D01O3UsXmeyORoQkLz//i0B4ilqLTPmVCsK/4mz/O5DtL9f5qYEQyAUEwsGKcZJc8FY+CAEhIASEgBAQAkKgniJQtnZVZBAjQqbq6aHkthDYfBAgZgwyIRxP6BC4/fbbUXANX4xYuOiii5yCP7DYpzfeeMMJw9TEypUrYSwhPZyODaj3SP03SvAF5P4j1fmofQdB5AvdePz48bjqE4xWZy9QRjKgDx1kkkiqxykHBmlOUTlsq04w2h0dfPDBflZywH97zNbDSCMmjCQYE/TtxXDJ8kaFUfwzYUl1TRk+NDoJGCSGlmBXKhD6IbjoJPgW+c6kxx/jkRayvZc4D01+wQUXBE7K45AhQ/ix+EniTse4X36PThL+FWf734Fsf7luaw2EQC4gEEcnhuW54K18EAJCQAgIASEgBIRA/UUAIpE4RnpGW/VFBjyKXay/FyrPNysE6HhCUmrCkWlXARFBCwzTMWKByMDIJeEouzA1wUIL8Ro0aJAzUlJSQvZuJN3hdBiQQ43DvsQfUwcSdsgnGIlSQ39gzIdWxSRru00jqR7ffmBc4Skqh23VCUYC80455RRuDTKWDi90eZ48eXLAeXvM1sNIIyaskGCE5qVzNJUVn3jiiUsvvZSan3gYIBgJsEzYorqmILt4T/wag86yheDec889TsLAaLpI3yLfmfT4YzzSQrb3EuehySObcRvBeNVVV/kntTH8KleThmBM/9+BbH+5Ya8kEQJ1iECYSIyT1KGT2loICAEhIASEgBAQAkJACAgBIVBXCBCyBcNGzmyCA/RDgW245pprTMcIxvQkWCTBaKGGfmAVWbTs8sknnyR4An+IzlFHHZWgA4/hCEb0OR1Lkj/u+JFUT8JeyaeoBWwTfCPvlThSjgaTZsenfclZZ50FreRWVcJDtzY8iCMYCfW87777aE9MrrR5AutL5xfr2hwgGP1qn+EtqkUyYcIE3MAZYmjDH14eZn/3u9/52dNG00X6FvfOpMHfjhO2UIl7ifPQ5JE0oBGM1KIMo5qeYEz534Fsf7lhlyQRAnWLQBydGJbXrZ/aXQgIASEgBISAEBACQkAICAEhUFcI0DOFPtEJu1NQEcrl7rvvNp1qIRgxBfe19dZbE7hoZo899lgCKaFWEjxhCpaMftBxOsYoOoIRNaIi9913X46Q8BkxYoQZDFM9cRs5efIpqhdbY+ReeeUVt3uaAc01qLZHH2F6uxi/16ZNG7cwWw/dwvAgkmAkcpK3i30PPfTQp556ClLLpavPnz8feYBgjKTCwntVRUIDdPb9wx/+gEuRH94xFHyuO4Gmq/CdScafg0RayPZe4jyMk7NvbRKMbJftL7cqV6y1QqDaEUjb5GXO8mrfWgaFgBAQAkJACAgBISAEhIAQEAL1AgGq3sHChRs9OOfpCwzf8uabb5qkughG4uswa+1aKBVIoN0tt9ziNo0bmLdxPOSkSZOw6ROMsItEo8VZC8gjqZ6ATuAx+RTVi621sMmWYPQdhlOyCD3HqWbroW8tMI4kGOnhwo288MILAWUeLUyulglGq5wJfbdixYqwSyaxYNoWLVo4hQSaLqt3Jow/W0RayPZe4jyMk7NvLROM2f5yHfgaCIFcQGDqkp/CwYphSX7p+v5ZueCzfBACQkAICAEhIASEgBAQAkJACNQmAq1atYIC6tmzZ9ymzZs3R4HqeaZQXQSjUT1//OMfMUvyKVuQuxrng5NfffXVaPpNZNwUAyug5xOMp512Gvo0rfDV3HjixImEIJLAa5JIqscpRw6ST5Ettp999hneRlbMY3ca1jBbIcEIdQY51rp160iH3333XYy4IMZsPYy0acIwwQhrTc8UEqIj6WuKMeJJLROMRghHVlN0RwNA6kOSQ+06HyXQdOF3Jiv82TRsAWG29xLnYZycLWqZYMz2l+uuQwMhkCMIVBjEiEKOuCo3hIAQEAJCQAgIASEgBKoLgUWrvv//Fo2ZWDyUL4NFK7+vLsuyIwQaHgIwh/A8cYUNv/rqq8BsdRGMIGnJqlQybNy4McmqabDNy8uD+SFLesmSJQH96dOnb7PNNhRd9AlGqwAZ2cmC5cadQsKYKaN6HN8YsB/3mHCKbLG18oBnnHFGeC8LzuQuKiQYWbvXXnuRkRpJ6/Xo0QMj7ozZehh2zEnCBCPZ0ASmNmnSxOn4A46JJ7VMMMIns6kL4PT98cdXXnklag899JAJE2i6yHcmPf7Yj7SQ7b3EeRgnZ99aJhiz/eX616GxEMgFBMrWrkvgGJlCIRf8lA9CQAgIASEgBISAEBAC1YLAz+vWwChaM2v/L0KmqmULGRECDQ+Bc889FzqFdg8BSmratGl0s2Vq+PDh7tTVSDAan3bCCSewRWQWrdvUH9BuBn0q+/mdkWlITbAcEYzEy/kEIwthL+Ek3377bd8IY4I2sbPHHnusXr3apjCC5KKLLgpoJj8mnyIrbPEE5/E2EHJZWloKA2xFFNMQjNbe2pXNdP7TuMRovcGDBzthVh66VeFBmGBEhy4qdLKGQw7oP/nkk5TcJDf/mGOOsakEKqxbt24Y4bNo0aKAnawex40bx/3uv//+Fa4yfo+Xv0LfIt+ZrPCPtMC+Wd1LHHpxcuzXMsHIjtn+cg18/RUCOYUASdABmpFHZUbn1B3JGSEgBISAEBACQkAIVAsCkeyiMY1MVcsWMiIEGh4CtNuw9Ft6+7766qtTpkwZMGDA/fffT0dmyK7nn3/eP3I1EoyYJbwNzgeiafHixf4uCWNY0AceeMDaQ1s/YqhFjJxyyikQaEgCRRcJwkSIwhVXXNGpU6dZs2YNGzbsnnvuYVM+zLq95s2bx3kJg4Sa45hhWsxpBgYJp8gKW8z+7W9/w1XIt3bt2o0dOxaOF+KO8E4i/ehTw1QaghFCkuKTKLOqe/fuVDuEsSQl2W75vPPO81skZ+th4OzuMZJgtAKesKYcBx+A9L333gMu2MKBAwcSiQrghAtC0iZQYRbjx3EWLlzotqvE4Nprr8XI008/nWbtQQcdhHLfvn1RTvAt8p3JCv9IC2ya1b3EeRgnx37tE4zZ/nLTXJN0hIAQEAJCQAgIASEgBISAEBAC1Y4AmdF+1GJ4jEK1byqDQqBhIEDblLvuuqtRo0aQKvYhuZXYP7i4wAGrl2C0mnhnnXVWYJcKH0eOHEnlxnPOOefggw8++eST27ZtW1aWqa4PZ3jAAQcElhcVFTVr1myrrbbacLjM/z3uuOPGjAn+7w50Oqa3tak9++yzATtxj8mnSI+t2Ydj5BTOVS6FVikUe+zfvz/CNAQjdgoKCi699FLoO2eHAUQfydE+u2g7ZuthJA6RBCOajzzyyPbbb++7QfSpxcS+//77FrHZu3fvBCqsWghGq6zIO7BgwYJI/wNCQmrxmTBC5Am+MRv5zmSFf6QFLKe/lzgP4+QYr32CkU35ZPXLtSX6KwSEgBAQAkJACAgBISAEhIAQqE0EEsIXFcRYmxehveo1AoSZdejQoV+/fiUlJbVwELpIQ+MQZVcte8EdYc2V9QvYhIGE3IAgJRSQOMbArHuEf6OrdX5+PpSUEyYPUp4iPbZUL8RVGrKQqxvIW0/2JDALIPBIpIcTvvjFF19AWAUUAo/pPQwsTH7kXSImlkbkHTt2DJO6yWvrxWzcO5Me/zgLdvwaupfcwTb5l5s7fsoTISAEhIAQEAJCQAgIASEgBDYHBCbMHxKOWvQl9HzZHHDQGYVAPUKALtJkNIdj6uKO0KtXr5YtW8JWRSpAjUIw3nDDDZGzNSfM9hQ154ksC4HcRCA3f7m5iZW8EgJCQAgIASEgBISAEBACQqBuEaiQYEShbj3U7kJACPgIECcJH9i6dWtfmDy2jipkN4fj+mApqZtHbUYaLicbqd7ZSpyieh2QNSGQ+wjk4C8390GTh0JACAgBISAEhIAQEAJCQAjUCQJKka4T2LWpEMgWARqXkPlL/i/197bbbrtsWwPTzAVakuqL9C5xW+fl5TVt2hQ58Y1OWKODKp6iRn2TcSGQgwjkyC83B5GRS0JACAgBISAEhIAQEAJCQAjkFAJq8pJT1yFnhEAcAnfccQdMIJ9tt932k08+iVOLk69evRp2keW0odlzzz3psLzDDjvY40033cRs3MLqlVfxFNXrjKwJgdxHIEd+ubkPlDwUAkJACAgBISAEhIAQEAJCoM4RSAhiZKrO3ZMDQkAIgACRh507dyazONvYRR+9qVOn0hCZ9sonnXTSVVdd9dxzzxEV6SvU9LhaTlHTTsq+EMg1BOr8l5trgMgfISAEhIAQEAJCQAgIASEgBHIQgZ/XrYnkGBEylYMOyyUhIASEgBAQAkJACAgBIVAhAsvXrBs+f2WPguWdZpbwZcAjwgoXSkEICAEhIASEgBAQAkKgcgiQKw2jSEsXvgx4rJwdrRICQkAICAEhIASEgBAQAnWOAETiJ7NKjVr0/yIUx1jntyMHhIAQEAJCQAgIASEgBISAEBACQkAICAEhIASEQI4jMKxopc8r+mOmctx5uScEhIAQEAJCQAgIASEgBISAEBACQkAICAEhIASEQN0i0DU/kxYd+SVXum590+5CQAgIASEgBISAEBACQkAICAEhIASEgBAQAkJACOQ4ApHUohPmuPNyTwgIASEgBISAEBACQkAICAEhIASEgBAQAkJACAiBukXAcYmRg7r1TbsLASEgBISAEBACQkAICAEhIASEgBAQAkJACAgBIZDjCChFOscvSO4JASEgBISAEBACQkAICAEhIASEgBAQAkJACAiBXEZATV5y+XbkmxAQAkJACAgBIZALCJStXZW/ZPy3C0Z8UzSQLwMeEeaCb/JBCGwOCHTt2nXLLbd88MEHa/SwtbNLjR6hRo1XBZ+qrK3RQ9Vr45shqq+99hr/KXj55Zft4nITgdz0ql6/6nK+viCwfM26yCBGhEzVl1PITyEgBISAEBACQkAI1BACEIkTi4catej/RSiOsYYwl1khEECAf7BvscUWbdq0Ccir9zFyl8GDBx9yyCHt2v3/7L13mFXV2f89f5grGsWamMRXTYw1JvbYe4uxJrbHEiWxxRaNscRYH1t4jPray2NsmKCAIKAC8lJ/CESKMijtBwMOkGFAYGQGpjCF8f2cuXGx2HufffY5M2fKme9c55pn7VXuda/P2mfy8PVe636ybefq5NYiVx3JJ+FCWjM24RSt6Ra53tYYdGPzZ5kpOjlVB6ENC0899RR/Cv7+97+bzQ4nELm/He5VGwKXKRHIlgBCInGM5Iy2axgp8Ch1MVuM6i8CIiACIiACIlCQBEoqpvm6ol+mqSCXrEWJQGcjMHTo0B/96EePPvpoXh2LnKVfv34IGrfeemtep+5sxiNXHcknoeetGZtwitZ0i1xvawy6sfmzzBSdnKqD0IaFgMDY4QQi91cCYxvuuEyJgAiIgAiIgAiIgAiIQMEQmF4+yhcV/TJnpQtmmVqICIhAJIFIASGyZyFVdrdV52+9+bNcSO9b8rUEBMbkA/PUM3J/JTDmibbMioAIiIAIiIAIiIAIiECXJuAriuFyl16anBcBEchIIFJAyDiqq3fobqvO33rzZ7mrv2O5+S+BMTduGiUCIiACIiACIiACIiACItDhBMKiol/T4e7JARHoDgTmzJlz9913jxkzxi22uLiYmkmTJlFD60MPPXT00Ufvtddep5122p133lldXe16Unj88cfpXFVV5Ve6cnNz83333UfyiMAszz77LKPOO+88jkgfeeSRlPmZOHGiG0hhxowZDzzwAJPuscceZ511FlfDlZSU+B2sXFpaessttxxxxBG77bbbz3/+8zPPPHPYsGHhbpE1M2fOZN7Zs2fTumDBguuvv/7ggw/GzqmnnnrPPffgQOQoFvXGG2+cccYZ+++//6677srviy66KOC8bxkjH3zwwXXXXXfiiScyXeSqA3z8ecvLy8m7cf7557MF++2339lnnz1o0CC/Q3isP3vbriurdyPjLue8dxktw8fnxutx4403Dhw40OcWXw5T9dceHjt16lQ2d8qUKa7J3wXqaT3qqKN4W26++eaPPvrIdeMkMi8ery4/55xzjv9NtD6+neS76eyHC3PnzuWbdfrpp//kJz858MADr732WvtmBQTGMAHfE8zaW33TTTe5KRJ+Z+nv7074rY7Z30AE4xNPPMFXtbGx0fkQKPDni78/gUo9ioAIiIAIiIAIiIAIiIAIFBgBHZEusA3VcroigcA/2FnCCy+8gO738MMPI318+9vf3n777RFGDj/88O222476nXfeGaXFrfSSSy6h8rnnnnM1fgEJgtbf/e53gVnQyqgP/CAFuLEvvfTSFltsQQfuh0SXY1LKW2+99fDhw10fCq+88goefutb30IY/NWvfnXIIYd85zvfoedvfvMbv1u68uuvv07nf/3rX9OmTevRowd2UBeZbqeddqIeUy+//HJg7MqVK53zJroecMABDKT/I4884jo7yytWrEDDoZUfW5GV3W9bdYCPs0Oei+9973t03nbbbY899li3CxSc0hse62Zv83Vl9W44UG6xFNwut2bv4i1Dz+d2zDHHkEvI9ghVbc2aNQ5vTCFM1a09chRKF6tDb3etbhdee+01sjN///vfP+GEExAYN998c5wZPXo0Pe+//35G8ZKfcsop6Gw00RNN3hmh4Owk301/eKDct29fXnUm3XHHHXnVmZoyr3rv3r0DAmOYgPPEf6tRKW2KhN9ZOvu7E/lWx+xvwKvLLrsM//v06RNYpj0i5NL6+9//PrJVlSIgAiIgAiIgAiIgAiIgAgVDQEleCmYrtZCuSyDwD3YWYkJKz549kbZ80ayhoYFQPf7BjmLj1jthwgRqiEJ0NX6BuDtaJ0+eHJiltrYWfQxNg1YioCjz48KQevXqRT3Shx9DyEQ/+MEPUEJc/B56C0LN7rvvvnDhQjdpWVkZ4hvDEUhdZbqCCSbERmIZTdKPw5w+fbrJjIH0N6wU43/5y18WLVrkzBJXtssuu+DMxx9/bJVmmd9IJdRffvnlBD0SxsYyI1cd4GNGkE2QT5FVCb0jbNIqcZI4N3wgzNJqwmPzt66s3o2YXW7l3sVYhkk6bhdeeCHcEMQYbuhifoep5iYw/uEPf0Cix5qbC9Vrm222+eEPf8iLt8MOO1iosLWChS8dLzlvlOufw266sYECoi4C5ne/+10/hHL58uUnnXQS2uYNN9wAn5gs0pFvtX1JE35n8Sfd7vhvdcz+BvYFYvh8/PHHB1Zqj3zvaPXDSiO7qVIEREAEREAEREAEREAERKCrE6hvqo0MYqSSpq6+OvkvAl2CQOAf7PhsQoovNbiFNDU1mew2f/58V7nnnnuioaHsuRor1NXVIY7RymN4Fioj79BDQEN+QXhZtWpVwODixYu32morJDur58wpTr711luBbhUVFUg0rlug1X80wQSbl156qV9vZQ7wovagDqEKWg1nS5mRU9jhzoRB0sTJU2syy0R+IuY41dGaIlcd5lNfXw9qfENCCUxXWVlp0aSmnITH5m9d2b4beB653tbvXTrLMdwYcuWVV7JNd911VwBp+DFMNTeBkemQlAP2OS9PPT9OLXcdeIWo9+XxbHfTmQoU+A8EvFF8Je1OAL+V7zWxnXxrmDqjwBh+q5N/Z2N2J/BW417kmxPeF4JC+fuzZMkSf0WU+Q8WfHn33nvvQL0eRUAEREAEREAEREAEREAECpIAQiJxjOSMttsXKfAodbEg91qL6pwEwv9gNyGFkDxkh7DPV111FSrE+++/75o49EqN09Zc/Ztvvkk9h0CpCc9CZaSAwI1qjOLAqbPjF2677TZaOWJJpYUnDRkyxO9gZWLVkB1QM8JNfo1JN0QJIl369a58++23M929995rNVwNR+dnnnnGdXAF0x65INFqzDJjWbjrY4XIVYf5GNVrrrkmMNwecQnjd9xxB4/hsflbV7bvBu5Frrf1e5fOcjw3pDAOm6Ngo0IbyXS/w1RzExi5pdNFn7q5iOJj+5D7wk3cwUiTf6o32910swQKXEWIZSTWQL09cg0jMh0dMgqM9Am81cm/s/G747/VeBX55oT3hW8lLnE9bGBdNpwZA/V6FAEREAEREAEREAEREAEREAEREAERaHMC4X+wm5By7rnnRs5lEVb+pYtcyMbtglxzF+jPtXLIcWRzoD48C5WRAgL3KDIq3UV5n376KWIC8hTDzc999tnHP60c8CH+0aQbUtik64bzTBfTwQ20BbqjmmY5zIT+kasO8yFOjKnDcVk2I9FZhIyaShYem791ZftupFtv6/cuneV4bowipwlgMyZ8CVM1n/3YQtsL+53uDsZf//rXfjcrjxo1Ch9OPvnkcJMp1cQTuqa22k0ib5n0s88+c5YDBa5DpENGgTH8Vif/zsbvjv9W41vCb0pNTQ2KMUJuYDkw5Nw3f50C9XoUAREQAREQAREQAREQAREQAREQARFocwLphBSikiLnCgspdCPXc0C7WL16NScuyWphRsKzUB8pIJALg5QuH6b5IWsMcVamzBBgedxxxzEv8iYZXkhRESOeRK7FpJvI89GuP6csuQ3SPboCEiiZo7lZkbCrCy64gJOneBIQGAmkdP1dIXLVYT5A4Hi1GxVTCI/N37pMZMvq3Yhcb+v3DiCRljNy4x5CdurBBx+MQUpTmGpuAqOfZNnNaAIjCZJcjStw+QDuhQXG3N5SZ5YCMb1I9+GYSdeH6yKZOqPAGH6rk39nM+6Oc4ZC5P6G94WeFhA7YsQIN5wD1/z9iZRwXR8VREAEREAEREAEREAEREAEREAEREAE2opA+B/s2QopeMJVckgTf/zjH51XnCOmxt0+F56FnmEBgWvi7JwmY2N+kEpsItQSYil5JHWF9edyQtROBBznSUzBhLhbb701pg93uKFUuA6ES91yyy0k/EWrsRlRV8j8gmDFY0BgjLzrL7xqjAf4EMoFB7dMN3tkITCWPvlbVw7vRuR6cbKVe4eFsOUk3Cwt0W9/+9tImK4yTDXbtdsuRIqxJjBeccUVbjpXSCcwZvWWOmt+gQtFySzj1wTKZHTiHc4oMAbe6uTf2SS747sU3l9aw/tCpQU2+8Gi9veHlNm+QZVFQAREQAREQAREQAREQAREQAREQATyRCD8D/ZshRQcQywiETPhSc5JUjmj9blbEMOz0DNSQEDN22233bjjMeZn3LhxbiIrLFu2jHvtCMEit4vpflyfGOgTfjQJKN09h9afo5csxMpESJKDGPv77rsvd0siE7mj3HaYOiAwRopLkasO8+nRowdzhX0O14TH5m9dObwbkev1V5Hb3mEh0nJGbrxX7OCNN97o+xAuh6nGr90U5scff9yZaluBMflb6hwIFAjEdW9yoMkeucYwicAYfquTf2cz7o7vWOT+hvfFhqDGb7nllgQu2uOhhx5KADCSpm9QZREQAREQAREQAREQAREQAREQAREQgTwRCP+DPV5IiTwijW8333wz6sTo0aMpcz0gAXh2U6K5HZ6F+kgBAXVxxx13tFG5/Ub3I1gLZ8I6ZMCgSUBEPAbq/UfEk5/97GdWQw4XzPbq1cvvYGULPGtDgZGb7pg63YFW6klOPWfOHGYPs83funJ4NyJ3OQzQapLvHf0jLcdzY9Sjjz7KJj7//PPpfLD6MNX4tVt+6vwJjMnf0nTrsvsPXUr0cLeLL74YMhkjGMMCY/LvbPzu+G817kXub3hfbCFEMuP8Y489xiOXshLSfPXVV4fXqBoREAEREAEREAEREAEREAEREAEREIF8EAj/gz1eSEknMKKw8Y96uynOorkmTZrkHA7PQlOkgMC1jQgFpLpwY/1CcXExoUocUkYnOfHEE//85z/7ra788ssvYyRjEKMJcTvssENdXZ0b6xe4CRI7Z511FpWoH/TkQHSk6MdljPRsQ4HxnHPOwSBnz31/XHn8+PG09uzZk5ow2/ytK4d3I7zLbbJ3LDxsmcp4bnQ45phjQMf9mZRjfsJU+/fvz8DIOxWxQ6ITWvMnMCZ8S2NWxNuCh+R2j+zDW00EMh1yEBgTfmeZN353/LeazpH7G94XW46lerH/FsAhbhYyffr0yJWqUgREQAREQAREQAREQAREoEMI1DfVllR8WrxsNB8KPHaIG5pUBEQgTwTC/2DPQUQy3w477DDOYHInGyeId999d9/h8Cy0moCAWhjuGZn/gm6mDiGgUd5ll12YLlLue/fdd1EYApb9WaxsQhw9n3766XArNaeeeiqthNVR5jQ0CuoBBxwQ2ZOU2fRMLjAGfAvzQQHD4EEHHRQ5HdFZtFoq5PDY/K0rh3cjcpdbv3dgibQcz42wzxiqPuowVQQrxrLRfjcrz5gxgyZ+8icwYjzJWxr2zdXgPy/wL37xC1fjF7hhoGUFuQiMxirJdzZ+d/y3Gt8i9ze8L24VpqByH+Mee+zBnyBXr4IIiIAIiIAIiIAIiIAIiECHE0BORFf8ZOmH7sOjNMYO3xc5IAJtSCD8D/YcRCTzx+IGLXyR3Mq+k+FZaCXrK5rGueee6/ekjD5ACpUXX3wxUG+pZHbaaScLOLTUseHL9MhQbHLfyJEjAxYCjybEcW3jNtts46egtW6W84LL3Nwo7mMkYzUKhquxwn333ceFb5xoduqNWQ4fJqV/5Koj+ZxxxhnwIRVIQEQlrpIT6FCyKy7DY/O3rhzejcj1tn7v0pGkPh232bNnW5De2LFjbeNifoep8tZx9J43MxBeW1VVhQ5sl3/mT2BM/pbGLOqXv/wlb1Q4XwzBxkRIIsrRmkMEIzMm/M7SM93uBN5qeka+OeF9ces1BfiII45gFZH3GLieKoiACIiACIiACIiACIiACLQzgZKKaU5adAUq29kNTScCIpA/AuF/sOcgIpl7tbW1KHVIcIgwS5cu9X0Oz0IrVzXSc6uttkIkZFIn3BFmxklkVIKLLrqIE50LFiwYM2YMKapR8Pih1Swj7HD5G92IGySWjzPaKD8cVbbDqmeeeSZKo+9DuGxC3N13342KiOWrrrqKOK558+ZhBNkTyz/+8Y/tnkMba9f3oTI9+eSTzIXDr7zyCjGNLBl5hCQaLIeL7BA6YgTGyFVH8iFxjK2FLNVPPfXUzJkzUcauv/56ZsFbZjGvwmPzt64c3o3I9bZ+71h7pGXqw9yGDx+Oqrb99tuDDt3YuMX/DlOl/9/+9jfeCsRkXoApU6agWBJViC7HG2i5Y/InMCZ/S2PWxeWE++yzD0s4/fTT//GPf/AOc+6bN4rv4J577jlgwACachMYE35n8S28O5FvNT0j9zdyX9yS+TKyBL4dq1atcpUqiIAIiIAIiIAIiIAIiIAIdDiB6eWjnK7oCgQxdrhjckAERKCtCIT/wZ6DiOScueyyy/gH/nHHHedqrBCexerJxUzuV4bw89BDD7lR6JNHH3305ptvbk32myPYkydPdn0olJaWXnDBBahGfjcEQA4gZ1QXGe5kQILT8BxdwtmhTFoNl5TWTfrXv/4VEdV1o0CuZ4uIe/XVVy3CbciQIc6yG+gXwqtOx4c0uDfccMO2227rz4gcSj5rZzA81s3e5uvK7d0IrxfnW7l3tvxIyzSFuXE6mCg7lGrHLb4Qpmr90Rj994StIfUPFwAOGzaMPcqfwEg0bPLdjFkariKeuy8dPrMcrk7lBgC7cTQ3gZEZE35n6RneHdwIvNW2hPD+ptsX62+pXuIT4lhP/RYBERABERABERABERABEWhPApECI5Xt6YPmEgERKGwCKIEEVpWUlITz23IEeMKECYhahIcRx5iOw/Lly7kmkSPVRB6SJwL5Il3PQL0T4qyeqCdOYTMdJ0a5STLQ2T2iOhIRRxri3r17BwRP1ydjIWbVkWMJNkPAJMYshoMb2IHrcj4ECunWm/PeOfvpLFsHuL322mtDhw4Na8XOQmQhRshCi+O15EIAbhQMnF6PNNXKytx2M35SoE2dOpWvzODBg9s22C/hd9bcS/JWx+9vYJlkkUartLtJA016FAEREAEREAEREAEREAER6EACOiLdgfA1tQiIQL4JBKSbfE/XbvYLdV3tBpCJLOkJ+Yjbc9LIubSbkVgiK8kiveOOO6JJRraqUgREQAREQAREQAREQAREoKMIkM8lEMTIY+dJ8oInynDdUe+G5hWBAiBQqNJNoa6rPV85EvcQC8fVl+05aeRc2s1ILOFK4lTZsj//+c/hJtWIgAiIgAiIgAiIgAiIgAh0OIEWEW8auiIfAho7lbqoDNcd/nrIARHo0gQKVbop1HW1z8tG6hbODpNvmmsbObnfPpPGzKLdjIFDE/vFWXVOrHMD6tZbb71y5cr4/moVAREQAREQAREQAREQAREQAZ+Ajm/7NFQWARHIgUChSjeFuq4ctjiHIeSCIRCOnzvvvDOH4W0+RLsZj/S6666z/erRo0ffvn3jO6tVBERABERABERABERABERABAIEAme3Lcm1MlwHKOlRBEQghgCJjFFvZs6cGdOnKzYV6rraZy9GjBhBMp2ysrL2mS7jLNrNeETz58/nwkzORyt2MR6UWkVABERABERABERABERABCIJRAqMVEZ2VqUIiIAIiIAIiIAIiIAIiIAIiIAIiIAIiIAIiIAI+AR0RNqnobIIiIAIiIAIiIAIiIAIiIAIiIAIiIAIiIAIiEBWBEg3Ewhi5LHz5KDJai3qLAIiIAIiIAIiIAIiIAIiIAIiIAIiIAIiIAIi0P4EOm2G6/ZHoRlFQAREQAREQAREQAREQAREQAREQAREQAREQAREQAREQAREQAREQAREQATyRGDVusbiVXUfLlnbd0EVHwo8Upmn6WRWBERABERABERABERABERABERABERABERABESgYAjMqlj35vzK8Aelcfbq+oJZphYiAiIgAiIgAiIgAiIgAiIgAiIgAiIgAiIgAiLQ5gTGLK0JS4t+zdjymjafVAbblsCahma2yaJPKfDYtvZlTQREQAREQAREQAREQAREQAREQAREQAREQAQiCaSLXfQFRsp0ixyuys5AADkRadHfMh6lMXaGrZEPIiACIiACIiACIiACIgCBt99+e7PNNrvjjju6HI0XX3wRzx955JEu53kXcvjpp58G8mOPPWY+d/K3JeBtF+Kcg6udfC9yWFFrhpSVlZ166qnf//73v/3tb1922WWtMaWxhUeAKxZ9VSqmjGBVePcxWtTfu6VrbOEUumjsX2QMKpWF98ZqRSIgAiIgAiIgAiIgAiLQFQkgUxQVFd1+++2tcX7kyJE//elPn3zyydYYiRkbaf+FF17A84cffjhmoJpaSeCpp54C8t///nez08q3JXIfW+mhPzzgrd9UeOVW7kWBAdlzzz15UU888cTrrrvu2WefLbDVaTmtJEAalxhRMdBE51ZO16mGh6P+bL1dMfbv7ZLo+zM7FXA5IwIiIAIiIAIiIAIiIALdlsDQoUN/9KMfPfroo60h0K9fP/51f+utt7bGSMzYSPsSGGOItVVTQLJr5dsSuY9t5Sp2At62oeVOaKqVe9EJV5SzSx9//DF/f84666ycLWhgYRMgVXRARYx5pHMh0YiM+rPld7nYv0iBkcpC2i+tRQREQAREQAREQAREQAS6OYF8C0eR9iUwtsNb17aSXeQ+tuEq2tbbNnRMpvJK4M0330RgfOihh/I6i4x3XQKRwlQ6jZHQvq670rDnMWvnrHS4f2euiRRLu5xM2pkJyzcREAEREAEREAEREAER6HAC+RaOIu1LYGyHfW9byS5yH9twFW3rbRs6JlN5JfDMM88gMLYyDDuvHsp4xxKIEdnCMmOBRcSFF+jXdOy+ZDs7x70DW8mjkrxki1H9RUAEREAEREAEREAERCBPBObMmXP33XePGTPG2S8uLqZm0qRJ1NBKXNDRRx+91157nXbaaXfeeWd1dbXrSYHrzuh83nnn8Q/8I488kjI/EydO9PuUl5eTJeT888/HyBFHHHHjjTcOHDjQ7xBTjrHvC4wZ/fSnmDFjxgMPPMBy9thjD45VcsFgSUmJ3yFd2ScT7jN16lTWPmXKFNfk90/i4cyZM7Ewe/ZsLGCH8lFHHbX//vvffPPNH330kTPL2djrr7/+5y0/55xzjr93ro8Vkq907ty5MDn99NN/8pOfHHjggddee60xCUh24bfFJmpubn7jjTfOOOMMvN111135fdFFF/mvQcw+Op/b3FtnOV0hfkbbAghEDp8+fTob9MQTT1irv3cLFixggw4++ODddtuNzCP33HMPE0UaoTLeBzr4lnn84IMPuGbwpptuSrcXSWxm+2Zi03787/J+++139tlnDxo06JvGTf5vxnVt0jvqwZ8r3d8Ndodd4LvM35+TTz6ZMj/wj7Knuu5LoDsfkfblxHC5y70TyImELKIr8qEgdbHL7aAcFgEREAEREAEREAERKGAC4VQRTrhDyCIl6/bbb4/Mdfjhh2+33Xb8K37nnXdGnXBA0AypDPz4ZxXJ6/G9732PDttuu+0xxxxDLphvfetbPKJlrVmT+XxWjP2s/HQOv/TSS1tssQUOcPMkKSFYDuWtt956+PDhrk+6gpsxsgNaE6Yef/xx1+r6JyHJqNdffx0L//rXv1577TVyN5MS94QTTkCs23zzzYE2evRo+tx///3m/CmnnILCQxM977vvPjepKyRfad++fXv06IHZHXfcESaQofyd73ynd+/eAYEx/LYw3cqVK902UUDtOeCAA2yXXY5v1wHL7sd/T/LhrUMRWcg4Y01Nze677463YY2xqqpql112oQlEZtzt3bRp04DJ8lEXgbnTTjvRDZgvv/xy2I2MPjDEWV6xYgXar9FDB47cC/onsZntm2me+9/lY4891v1NoBD47w5JfAjT8Gv8uWL+bti7akzc7/fff983pbIIdOckL4GQP19j7HJHpPUmi4AIiIAIiIAIiIAIiIAIdGYCYZnCxIeePXsiDDqBiCU0NDQQlsa/4vn3vltRbW0t2gIyC/VEVVHmp7Gx0Tr06dMHiRL5jpBFgtysEnHmwgsvpD8iCcOdqchCjP2s/DTjvXr1Yl5ECT+ibMKECT/4wQ+QgNLFYjnHnCzjavxCOoExIUlMmZT0hz/8AVGXfXHGCV/cZpttfvjDHxJsucMOO1hwqbUiZ7FNOB+I2kq+0ldeeQWJ8rvf/a4fJLl8+fKTTjoJ9fKGG26AWHwWaSJX6fOXv/xl0aJFzmf8QYJDZyMBB5Ux+0hrnrx1zoQLCWfkPdlyyy3B++mnn/pGiNxjyb/73e9cpe0doHiXfvOb3/CSuyZiHU1mDJzhTeiDWeY3Ii08L7/8coJFcSz8zWXGhDZz+O6k+y4TQwsKAjXdehP64PqHC+nmCv/dsPeKAGl8IKG8/f1pamoK21RNdyawal1jjM7ma250o3MhsYq8t9CWrNsLC2mjtRYREAEREAEREAEREAER6HACYZnCxAf+we5kJeck/3I3qWT+/PmukkLk3Xr19fV03mqrrRDB/M5WvvLKK5nirrvuCjeFayLtZ+snmg8yHQLdqlWrAlMsXrwYPxFwAvWBx9wExuQkTUqiv4uLcw5wKpZ6fsIqKEebqUddcZ2TrxTRmD1CAbZz2c4CBfaaKFO0NYy7NyH8tnC2mg5nnnmmP9bKhGLShHuuKXIf8+etmzdQSD4jA59//nlW8eMf/9gF3D733HPU7LvvvrzhzrLtHW/RpZde6ipdobS0FB0Y3RgFzCqT+2CWiSJGBDa11iyE9yK5zWy/OzHf5crKSotttssBkvvg4AQKMXPRM/LvxtNPP82OBPTbgFk9dnMCsyrW+UJiujLdCgxU+N5CWztSqs4XF9heazkiIAIiIAIiIAIiIAIi0LEEwjKFiQ+En0UGAl111VX8Wz5wCDFSOOIALD2vueaayAUiRHBoGsWvoqIisoNfGWk/Wz+5Cg9/3KV5vn3Kt912G60czAzU+4+5CYzJSZqUxB2GLtrTzU5MF+4hBoabuIORpt///veuc/KVmjKDaOPG+gWuYbSTzjECI5crEqRKlg1/oJVNeyTYzzVF7mP+vHXzBgrJZ7SB5557LoQJ1eORGxFREXlvAxq77R0oEKsD09nj7bffjpF7773XHpP7YJYZy1fVtxz+5ia3me13J/67zKJw74477sC95D74a/HL8XNF/t2QwOgDVDkdgZhYvsKO6LN7CzkQbcukoNsL070kqhcBERABERABEciBQH1TbUnFp8XLRvOhwGMORjREBESgAAiEZQoTHxBVIldn8XIEcfmtkcIRMVfIDkuWLPF7+mUyidAhScKXSPvZ+nnIIYeg/7g4NN8TypyBxRnOnwbq/cfcBMbkJE1K+vWvf+1PauVRo0bhHmkswk2m4xFt6JqSr5TIQ8x+9tlnbmygwFV7dIgRGAP9/Ud7tY4//nhXGbmP+fPWzRsoJJ/RBhJ2yIWKcCBGzi6TRO8N2LS9Ix1SoN49krIEC65Dch/MMpeXOlNWCH9zk9vM9rsT/13mSoSysjL7LwXJfQgsxz3Gz0W38N8NCYyOngrxBAhQjDwrTWXhxS7Go1CrCIiACIiACIiACLQJAeREdMVPln7oPjxKY2wTtjIiAl2OQFimMPGBSKTItYRvGqRbpHBE/hQOdUYasUpu/0NyefDBB2P6WFOk/Wz9JGcKLn2Y5ofkvETrRSp4zr3cBMbkJE1K4ipLN6MrmMB4ySWXuBpXIJQOjL7AmHylZJBBdA1HRTrjXAiJ8YQCI+ItmaO5IZCQtgsuuICT14zNKDDmz1u3ikAh+YxuIPqznRZnRZEBn7Z3keejnRGOSHP/pz0m98Esc/2gs2OF8Dc3uc1svzsZv8vOt+Q+uCGBQsa5wn83JDAGGOoxhgBXLJLzhbzSiIp8KPBYYPcuxixfTSIgAiIgAiIgAiLQtgRKKqY5adEVqGzbWdrZmsVkfr58nK2IgiIz23kLNF0XJRCWKbKV0Vh4WAAkqAm9Dv0qBgvZVZBrfvvb38b0saawfeqz8pPLBu20LzPG/MQ7nNWM2XpIf5OSIgVJExivuOIKA+L/DgiMWa2UiwHJHeNbC5TJ8gOueIGRbMu33HILKa3RKo0tKhOZX5COeYwXGPPqbWAt9pjVjL4FoltZDjIjtw769Va2vbv11lvDTa5m7733ZjiPWflglsO3lQa+uVnZzOpNTvJdtjVm5YPD4heSzBX+uyGB0WeosgiIgAiIgAiIgAiIgAi0G4Hp5aOcrugKBDG2mwNtPlE4JtPWpcjMNkctg4VHICBTsMCsxAcDEikA9ujRgzzRMcS4yBHF5sYbb4zpE2M/Wz/RdjjoyqQxP+PGjYtxJn5G09Mef/xxZyG+fzgWtE0ERmZPvlIC6sjQ4RwOF+688072KEZg5Hg1u0wfkp7cf//9CKHuELodCo4XGPPqbXg5VpOcj7NAoiJGsUx+yKXu6l3B9i7djaPWjds1He3kPqR7K8Lf3OQ2s30zM36XHYfkPrghgULGufj+sgv+3w0JjAGGehQBERABERABERABERCB9iEQKTBS2T6z52OWyJhM0xi7emRmPnDJpgj4BMIyRbbiA9YiBUZujUNtiDl+y412CAVk6fX9iSxH2s/WT9TFHXfcMdJ+wsr4GS2/bWcQGJOv1O67c6mNwxwuvvhi9ihGYCSHCx169eoVHmuhlRkFxvx5G3bJapLPaP2RTMkivdlmm7355psc4GW9nNINGDcZ8LTTTgvU+498HX72s59ZTXIfkguMyW3Gv8lh6Tv+u8x3nPTWc+bMYWnJffDJ+OX4uegZ/rshgdEHqLIIiIAIiIAIiIAIiIAItBuBSDmuSwtxkZKpCYyclW43sJpIBLoigfwJjGTdRYoZNGhQOizHHHMMHbi1L10HV98mAuMJJ5zAdKREcWb9QnFxMeejOerrVwbK/fv3x0LkHYn0JL0FrZ1BYEy+0p49e+IzullgpfaIcGR6WjqBkQ477LADB6IjZWQuY8R4RoExf95GLorK5DOaBdLusJAbbriBR17XzTffnCi72bNn+/ZNBoRGXV2dX+/K3P2JkbPOOstqkvuQXGBMbjNbgTH+uzx+/HiWxrvE0pL74MgECvFz0Tn8d0MCY4ChHkVABERABERABERABESgfQhwoDigyPHYpZO8uIPekYX2oapZRKCLEmhDgTGgziHFIDscdNBBkWQIeYppDQwxgTFgP1uRxFYamSeF6Uy1QMwJTO0/Tp8+HZ9POeUUv9LKM2bMoImfziAwJl8pKyIw7xe/+EV4RdSQK9kWlU5gJLSP4QcccEDkcEAxPCwwBvYxf95GekVl8hnp/Oyzz7IKxGeuBzSDdi8l6aR9LdFkQHoidkXOe+qpp9LKEXJrTe5DcoExuc1svzvx3+Wrr76apVk6+OQ+RFKiMn6uyL8bEhjTwVS9CIiACIiACIiACIiACOSbQEtKlGnoinyIXezS6iKsInVFV5lvmLIvAl2agAkCt99+u1tFtuIDA0eMGIHCcO655zojVjjjjDOoJzVJIMKN6C8LjRs7dmxgSORjpP0c/Nxjjz1IRPLiiy8GZiHMEj932mknXzIK9OGRVrKiYCEQBllVVYWOiuKEkc4gMOJq8pX+8pe/xO1wdpJJkyYRj8fNirSmExiZiHsFt9hiC5IsB3Ddd9995BDnULCvXkbuY/68DbjkPybkQ1zrlltuuc0225SUlPjDyTYOFj9ntMmAvAN0Zpl+Z8qmSR566KF+fUIfkguMGE9oM4fvTrrvMpGZpE9i3vr6eltdQh98FIFyurnS/d2QwBgAqEcREAEREAEREAEREAEREIHcCAQCMp20SEFHpHNDqlHdh0CbCIxlZWXIbltttRWZF9AunNxEmg87OExO4aeeemrmzJnDhw9Hy9p+++3pj+qSkHOk/RxEEsKfOM+LNESeDs4FL1iwYMyYMX/84x/RwfihNaM/f/vb3xiOdPbkk09OmTIFxQNxAxWOOD3LPdFJBMbkK120aNE+++zDok4//fR//OMfaKecBL/++uvZzT333HPAgAE0xQiMdiEeuitAGMvWcz8hMY2ojkhPJJFho7nIkVBJ2EbuI/V58jZmN5PMSHZsy1/DWe+AqYqKCuRoyLz22mvWZDLg3XffjYrIu3TVVVcR/zlv3jzGIrzTk1sc7ZZCZyqJD3TOSmBMaDOH7074u8x/HeA9YX9Zr+2vLS2hD45DuBCeK/7vhgTGMEPViIAIiIAIiIAIiIAIiIAI5EAg8lZJkxm79N2SOaDQEBHIlkCbCIxMSgZhYr0QUvh56KGHnBscLOXyum233daa+M2hWmKcUPZcnySFsP0cRBImWrp06dFHH801es4fCocddtjkyZOTuEEfNEYUFTecpZHoBDFq2LBhVHYSgTGrleI8IpjbPlbBAgnP4wS03RwYIzAy0V//+lfC9hwQCuhyFpv66quvWsznkCFDDG94H60++b4k99Ysp/udccbzzz+ftaCORlrg4kG0ta233tpkQycDEuZ62WWX+W8IZZK/VFZWhu1k9IEhznJgePibax2S2MztuxP+LsMHQZVM4gHfkvgQGBJ4DM8V83dDAmOAnh5FQAREQAREQAREQAREQARyIxC+VdLUxa5+t2RuNDRKBDqKQFNTE+FwHCaNzEpMeBvhXkOHDo1UWpL4HG8/iQXXh+OcEyZMQGYh7JA4RlefsIDyxvCXX36Z++ICp78TWmi3bslXCt6pU6dyfnzw4MGrVq3KykP2lBgzEoL37t07o1Qbs4/t462/tOQz+qPC5YAMCEDO3fOCcdK8oaEh3N+vaSsf8m3T2ee7jHRMdGv8d6dN1tX6vxvObRVEQAREQAREQAREQAREQAREICMBu1WSA9EmLVIogLslM65aHURABERABDoDgYDA2Blckg8iIAIiIAIiIAIiIAIiIAIiIAIiIAIiIAIiIAJdhYAExq6yU/JTBERABERABERABERABERABERABERABERABDohAQmMnXBT5JIIiIAIiIAIiIAIiIAIiIAIiIAIiIAIiIAIdBUCEhi7yk7JTxEQAREQAREQAREQAREQAREQAREQAREQARHohARKS0vRGGfOnNkJfZNLIiACIiACIiACIiACIiACIiACIiACIiACIiACIiACIiACIiACIiACIiACIiACIiACIiACIiACIiACIiACIiACIiACIiACIiACIiACIiACIiACIiACIiACIiACIiACIiACIiACIiACIiACIiACIiACIiACIiACIiACIiACIiACIiACIiACIiACIiACBU+gvqm2pOLTz5eP+2Tph3wo8EhlwS9cCxQBERABERABERABERABERABERABERABERABEWglAYTE4mWjTVr0f1MpjbGVbDVcBERABERABERABERABERABERABERABERABAqeQEnFNF9X9Ms0FfzytUAREAEREAEREAEREAEREAEREAEREAEREAEREIHWEJhePsoXFf0yZ6VbY1ljRUAEREAEREAEREAEREAEREAEREAEREAEREAECp6AryiGywW/fC1QBEQgTODtt9/ebLPN7rjjjnCTatqNQOffhRdffJH35JFHHmk3JjZRWVnZqaee+v3vf//b3/72ZZddlsPsYbbhmhzMaogIiIAIiIAIiIAIiIAIiIAIdFsCYVHRr+m2WLRwEegmBEaOHPnTn/70ySef9NeL2FJUVHT77bf7lSq3M4FOtQuR78kLL7zAe/Lwww+3M5k999yTeU888cTrrrvu2WefzWH2MNtwTQ5mNUQEREAEREAEREAEREAEREAEui0BHZHutluvhYsABPr164dWc+utt/o0hg4d+qMf/ejRRx/1K1VuZwKdahci35MOERg//vhj3tizzjqrNdsRlhPDNa2xr7EiIALdgUBJVf2HS9b2XVDFhwKP3WHVWqMIiIAIiIAIiIAIpCOgJC/pyKheBLoDgUjhqDssXGvMikDke9IhAuObb76JwPjQQw9l5X+gc1hODNcEhuhRBERABByB+qZmFMU351cGPlTS5LqpIAIiIAIiIAIiIALdikB9U21kECOVNHUrFFqsCHRDApHCUTfkoCXHE4h8TzpEYHzmmWcQGFsZXhuWE8M18UDUKgJtQmBNQ/OUFbXvLVrj61Q8UklTm0whI/kgEKku2ibSlI8ZZVMEREAEREAEREAEugQBhETiGMkZbbcvUuBR6mKX2Ds52eUIlJeXP/bYY+eff/5ee+213377nX322YMGDfJXMXPmzLvvvnv27NlW+cEHH3DR3E033eT6zJgx44EHHjjttNP22GMPDor+/e9/Lykpca2u0Nzc/MYbb5xxxhn777//rrvuyu+LLrpo4sSJrgOX1zHReeedh1xz5JFHUubHOsyZM4fymDFjXGdX8P0/4ogjbrzxxoEDB7pWVyguLsbCpEmTqMEa8WZHH300S8btO++8s7q62vVsZSEjjZw9mT59+l/+8peTTz55t912Y6W9evWqq6vDW4CH1a2MtP1lJrQc3oX2WYvvKuWY98QXGLPa5Yy7FvDBHp966ileKl4h3lj2hTI/CxYsoNUnEx47depUek6ZMsU1heXEcI3rrIII5InAlBV1vq4YLiMz5mlqmW0NAY5ChzfLr9FZ6dbg1VgREAEREAEREAEREAEREIGMBMiU8b3vfQ95ZNtttz322GMPP/zw7bbbjkcKTnN7/fXXqfnXv/61YsWKAw88kDI/P/nJT8z4Sy+9tMUWW1DDHYkkudh5550pb7311sOHD/dnX7lyJWpeamRRkcl6BxxwwLe+9S0eXc5f16Gl14ZfdvI0ndji+3/MMceQHcZsnn766WvWrPEdcNITFwmS6nf77bc/6qij3HpxG0XI759bOQmN3Dx54oknvvOd7wAFV+H8wx/+kPLee++9dOlSkhezib7DSWi7/skth3ehHdbi/HSFmPckN3+S7Jqb3S/wzvvvqpXff/99+jhP/P6uDHM6P/74464mzDZc4zqrIAL5IPDe4k2iFn15yi8TzZiP2WWzNQRiwhdt7xTE2Bq8GisCIiACIiACIiACIiACIhBPoE+fPkhtiIGE/BHwZp2rqqrOOecc1I9TTz3Vakxg5DfCDvLd5ZdfTiAiEV+0EkRHT2QWe7T+EyZM+MEPfoAa5kdCEpFITwLwFi1aZN34TazXLrvsgk3SZPBYW1uLqtm7d296EiFJmZ/GxkaaIsWWdP5feOGFWEACxaCbywSfnj17osU5SZPWhoYGAinpjz7pOudWSEgjB0+IdrMVzZ071/lG/BvSIhppWGBMQtvsZGU5vAvtsBa3XleIeU9y8CfhrrnZ/YJ5QgAwu0Pqantjm5qa6GOepMtnLYHRx6hyZyCQMXbR1xjpHOMzN/5N+rK2vKYhpo+a2pbA2yXBqxf9/aJMzpe2nVHWREAEREAEREAEREAEREAERMAI1NfX77TTTltttdW0adMCTCorKy2O0Y5wmsBIvN93v/tdUwKtP1LkNttss8MOO6xatSpgYfHixVhGkLR6ZDEUmDPPPDPQjUcCI2nihLVrirxbLyxtxfiPqSuvvBKzd911lzNrgg+VHCh2lVZAEQIFTfPnzw80JX9MTiNbT5YtW9ajRw+UWOISA/7MmzePLcBzP4IxOe1sLYd3Id9rCazXf4x8T7L1J/mu+VMHyk8//TRbEDilbp5IYAyw0mPnJMDligE9KuNjzH2M8ypTx3XfWahAx/bb7YwCIx3azxvNJAIiIAIiIAIiIAIiIAIi0J0IcPQYVeSaa66JXPS9995L6x133EGrCYw8oi/5ne+55x4qicXyK135tttuo5UjzNRwaR6hkuTCcK2uYGoYFz+6mkjhKCxtxfuPcMShb8S3iooKs2yCDzKdBZi56axw1VVX4a0dbg00JXxMTiNbT9gjfCNMLtITk1J9gTE57Wwth3ch32uJXLJVRr4n2fqTfNdiPJHAGANHTV2CQFbhi4iH/5xfOTV9EKMd1526Mi7KsUtg6UJO6oh0F9osuSoCIiACIiACIiACIiACBUaAiERkqyVLlkSui4PJZWVlps6ZwMj1hoGehxxyCLJh4KpD1+fTTz/FPuepXU1kwTSr448/3rVGCkdhaSvef6xde+21OOASvpj0dO6557qJ/AIhlHR+7rnn/MqsyslpZOsJ915yy6V/3Nt3zDj7AqPfGigHaGdrObwLHbiWyPckW3+S71qApP8ogdGnoXJXJJDw9kUX1ojAODTNTYzVjRuCIVeuS91uoZ/2IaAkL+3DWbOIgAiIgAiIgAiIgAiIgAiECZArhCPP4fpwjQmMXGwYaOLqP4x8mOaHZNNcrkhq3cAoBEkSQ3OLI0GSF1xwATdAouzlIDBm9P+VV17B8oMPPmgOmPRExFrAH3sM34kX2S2mMjmNbD0hHw2LTTc1d0huttlm6QTGeNrZWk4nMCanmu2M6VZNfYzAmNyf5LsW44kExhg4auoSBJxymKSAusinT5ojt59/tQ4jg0t1Prq9dz4miFEZXtp7MzSfCIiACIiACIiACGRDoL6ptqTi08+Xj/tk6Yd8KPBIZTY21FcEOowAAYqof/vvv38SD0xg9O8zZBS6FhZQ8OJ/3BQ1NTW33HLLfvvtR9CjDUHbIRcJAiCP2QqMSfwn1wyWf/vb39oaTdZLfideEjKuT1Y0svIEy6zioIMOcnOFC6h2AYExCe0cLKcTGBNSzWHG8GJdTYzAmNyfrN5hN3WgIIExAESPXY5AEl3R9Umpi/Mr30ojMFowZPGqdUkgVDWsp+eS6oYNOcaSjFGfNATIrROpMVJJU5pBqhYBERABERABERABEehgAgiJxctGm7To/6ZSGmMH742mT0yAvCHkWU7S3QTGcFQYeaJ322037i2M+Rk3bhxTfPbZZ8yFULbvvvvef//9o0aNcgery8vLcxAYsZnRf7zC8o033mhrzErWsyFZ/U5OI1tPSLhDnu50zpi26QuMyWlna7mVAiNLyHbGdKumvvUCI0aS71qMJzkIjKarP/74485smG24xnVWQQTaloATD5MULHwxMmnI6vr1ZqGyfn28h+W1TWOW1rjpxi6tkQgWTyxhK2elURTZHT4UeEw4UN1EQAREQAREQAREQAQ6hEBJxTRfV/TLNHWIS5pUBLIlwJ2KqCvNzdGBDdSTMHrOnDmYTScwoi7uuOOOSeYlhwtaX69evcKdSdycm8AY7z8TkdUXy88//7xNmq2sF3Y1viY5jWw9sZUStBnpwIwZM1imLzAmp52t5bDkle+1RC7ZKttEYEy+azGe5CAwWmoeCYwxVNXUngSc0Jex4MIXIwXG6atS56OHLl6bzvnG5q/JMT1k0RqbqE9J1YRltavqMqiR6aypXgREQAREQAREQAREQAS6OoHp5aN8UdEvc1a6q69O/ncTAueccw7C1KBBgyLXO378eFp79uxJazqB8YQTTqAPaaAjLRQXF3M+mmPRaJU77LADB6IjxUwuY8RItkekmTHefzocc8wxWOa+R3MvWyksclExlQlpYCFbTy699FIWki4BjeW/dgJjVrSzsoznrRcYs50xBnibCIzJdy3Gk0iBsX///uzaTTfdFDmQ5DK0SmCMhKPK9ieQPMmLExiHL4m4ZfHd0pRyOHt1xPnoNQ3rp62s67ugyqTFd76oKl5VV4vgqB8REAEREAEREAEREAER6MYEfEUxXO7GYLT0rkQA5Q2JI93lfldffTWtloI5ncBoctMll1wSuWzT9xjLaWiykBxwwAGR3U455RQmCguMKJN+/7C0Fe8/4ZeB1WUr6/mzJyknpIGpbD2ZN28eF1dyStqSevvOEGK61VZbcZGgExizop2VZeYN70Je1+KvNFw2gTHwnmTrT/JdCzvgaiIFxunTp/MG8nq7bq5gQae0SmB0TFToWAJTVtSZ7pfxtzsf/cnKuoDPy2ubbHjt+k1kw/KaJk5AO8vDFq9dWFW/SY+AIT2KgAiIgAiIgAiIgAiIQLchEBYV/Zpug0EL7fIEzjjjDFSOK664IhBbSF5oNKs99tijvj51fVM6gZEm+qB9vfjiiwEWBEZieaeddqqrS/0jdNddd91iiy0+/fTTQLf77ruPTNac1P7FL37hmkaMGMHYc88919VQCEtbVKbzf/bs2aRdxsjYsWOdkWylJwYOGDAAt/lZuXKlsxNTSEgjB09IVcNyuMeS+xWdA4AiNJQIRqJDncBIa1a0s7Ic3oV8r8UtNlyIfE9y8CfhroUdcDWRAiNvPpvCtyMQ4ltVVYWqv9dee7GhbSUw8hXmp6mpyblEgS+11Qe+3XSzer+zyt2cwJqGZicAxhRc+CLnoxkSgPbvL2sZO7Jsw/noxubm+VX17y1eawYZ+9Gy2pXroq96CJjSowiIgAiIgAiIgAiIgAh0EwI6It1NNrrgl0mCFTuqSTbnp556aubMmShy119/PaoIoh8hWEYgRmAkUBB1C6nkoosuevPNNxcsWDBmzJg//vGPDOeHVrNg1yGitzz55JPoLSiNr7zyCjGNaHeImcTmMePFF19sM5aVlfFIYB75WdCLTJYMS1tYDvs/fPjwW2+9lazKWHjkkUf8HcxBerIYOVa3YsUK31S6ckIaOXiCRnTbbbdZymPLvo20iGPHHXccehE1/mWYWdHOynJ4F/K9lnSoqY98T3LwJ+GuxXgSKTDS/29/+xt7hITOaz9lyhR0b3qS54h4XctA1FYCI7PwQ7of30leDKsPCI+Wy5smv7PKIpAkiNEJjBx2DhBDbezXcvyZrCLVjc3EN9oj6iIFUkXrNHSAmB5FQAREQAREQAREQAREAAJK8qLXoGAIkDrkhhtu2HbbbU2LsN+HHnqoHykXIzDCYenSpUcfffTmm2/uWzjssMMmT57sU/rrX/+6zTbb+H2Ix7MIw1dffdVivYYMGWJDyDS95ZZbWueHHnqIyrC0ZT3D/nMcm5g0dE5/dso5SE/ZCozMkoRGDp7YWiZMmHDXXXedfvrp++yzz7HHHvvEE09YiCla7p577umvNyvaDExoObwL7bAWf12Bcvg9yc2fJLsWmNp/TCcw0geNkd1xrz1fNFLw1NTUDBs2jEoJjD5GlTucQMabGE1gHPafiNsXl9RsOB9NBKOLgez/RerGRVK6ZFxaQ1MwHjLjEHUQAREQAREQAREQAREQgQIgUN9UGxnESCVNBbBALaEbEiCwEKGPQ8FEIeawfJQuRCrkHUKz0lmorKwkwpC0zr179w7Ij+EZCbtatGhRSUlJdXV1uDVcg/+vvfba0KFDmSXcmnMNQitxg4HYsIzWktDIaCRhh+XLlyNV+ZdY2sCsaEfOlc5yZOc2qcxhxmzfkxg/87Rr3IrJV+Pll1/m1tDAaeUYZ9QkAh1CID6OEYFx6opg7KL5OX5Z6ny0fdxp6NX1662moj4uT7RFP364ZG29ZMYO2XVNKgIiIAIiIAIiIAIi0KEEEBKJYyRntN2+SIFHqYsduieaXATansADDzxAuGDb283G4uDBg8866yy02chByKoIjL///e8jW+Mr82c53bztP2M6T1QvAiIQSYDLFZEZA9GMPFIZvnfRLJAL+q2SlLpIyCK5oWsaN8qJ7y1K5ZUOZ4Txp15c3UAfC3Rcta6RJNQcqV7QctTa76ayCIiACIiACIiACIiACIiACIiACHRFApyz3nrrrfv06dOxzls+Yk6dh+PfiN/be++9ibEkMXEOTubPcjpn2n/GdJ6oXgREoK0IIAaiEPZdUBWOQPzsq3U0vVtaFTPXuPJUjunJK2oJYqTgPkRCTl5Rp8sbY9CFm7gDE4zsBR8KPIb7qEYEREAEREAEREAEREAEREAERKA9CfTv3/+NN95ozxnTzUUyF8IUuX1x/vz5rs+8efMOPvhg6olvdJXZFvJnOZ0n7T9jOk9ULwIi0CYERi9NKYSTvoy4Isblp15Ru0mWczcvty/2aYl+7FOSEsQscHFlbSPKGDGNmCU2UrmnHa6YAgfMAwqtSbVU6ux5DDc1iYAIiIAIiIAIiIAIiIAIiED3IVBXV4e6iJZICpudd96ZTMTbbbedPV555ZW05owif5bTudT+M6bzRPUiIAKtJ0CE4T9bFMJlaSTEYYtTcYmcsI6ca0FV6nw0H4IVmzfN9MKT3Qk5qDTd4exIk920MlJddBpjN4WiZYuACIiACIiACIiACIiACIiACIQIzJo165ZbbiEN8VFHHXXJJZc8/PDD5A0J9cqlIn+W03nT/jOm80T1IiACrSEwZ3XqEPTAhWkPQXOnIh3e+SK6w6iW6MeRZTWRPnDmGnWR4TrqG8nHVcLHtMR0vwXQsVJBBERABERABEQgWwItKUg+3TQFyadKQZItRvUXAREQAREQAREQARFIR2B4y8WJMWlcyPliqld5TfCUdO36ZmuqqGtMZ/+jZdX0IXdMug6qh0BM+KIRpoNAiYAIiIAIiIAIiEAOBBASi5eNtuzG/m8qpTHmwFNDREAEREAEREAEREAEAgSqGjaIhzEKIUNGtIiQ4UsaLbiRKxwDZv1HRrUIjOv8SitztSB3NpIjhgBIfmOt22aEebvllLppiZG/yfkSBqgaERABERABERABEchIoKRimq8r+mWaMg5XBxEQAREQAREQAREQARGIJzCvMnUyl2wsSbr1W1C16SWLXw9rER4RCWOGf9ByhWNZKPpx6oo60kwHxDRktLmVcdZiJurSTRkFRjp06QXKeREQAREQAREQgY4iML18lC8q+mUOTXeUV5pXBERABERABERABESgkAisrl+fLr2LWyahhiYGLqlucJUW/UiS6MaA7Oh6fP113TdnqBu8PlzMSLwi0iJjiW8k5XRNY7Mlnn5nYerCxqGL1zLQM1P4RR2RLvw91gpFQAREQAREoIMI+IpiuNxBTnWNaXV3ZdfYJ3kpAiIgAiIgAiLQdQiMaUnm8tGyWucy1yoiBo73alyTKxCOSJ9AChhTF4mHrKhb73paASUTgwyZEGs2MKoAHpXkpQA2UUsQAREQAREQgc5JICwq+jWd0+fO4JXuruwMuyAfREAEREAEREAECozAwrUN6H5vL6gi/tB+Brekh/ZjGsNLtgwyfgZkoiVTdkoq0936iP13S6voU+ZFSxJm+dlX66pjYiXDc3e1mpggRmV46WqbKX9FQAREQAREoBMR0BHp3DZDd1fmxk2j8kRg6dsjP7nonnEHX86HQnnfUXmaSGZFQAREQAREIK8EGpqa3ypJ6X6la1KnpDnRTDl8K6Pvw5qWDDJ9Sir989EmOaIW+j0D5YVVqbjHUWUbc8eU1aTkzcLW2YjejNQYqaQpgEiPIiACIiACIiACIpCQgISyhKAC3STMBoDosaMINFauQVEcvfcFgQ+VNHWUV5pXBERABERABHImMK48dXiZA85YIEUL5X9/ufHEdNgsKqLrb63LW8IX+y+oig9FJJc0A98t3fg/l4vWpATG0WVrw7MUWA3RniiKRHjyoeAHfxbYSrUcERABERABERCB9iHAUd9IrYxKmtrHh644i3+QPFzuiiuSz12UQKS6aGIjTV10UXJbBERABESgOxOoaUydUyZzNNGM73yRimZEMIwBQnJq+izyTjrPWp2SHONlSTNoOWWcDknYJAPT3fdIRphmhfjF7ISaREAEREAEREAEujeBlmQl08gZbUIZBcIapS7GvxRhUdGviR+rVhFoKwKcjA4ELgYe6dBWc8mOCIiACIiACLQzAU7sku0F/TBmXq5YRBLsm7qzcaP2xygq51fWxwy0JuL36OlySVsOFFJOhweidg4qXUNU5Oexx67DA1UjAiIgAiIgAiIgAiIgAukIRIZ9OoU23SjVi0DbEogJX1QQY9uiljUREAEREIHOSeCTlakz1AFJ8L2WmMYVsXGPLMcubyRI0i1tXks2as5luxpXmPhlSrTkQ55rV9k5C3b8GdGVj44/d849klciIAIiIAIiIAIiYAR0d6XehM5AYPzBlwdCFgOP5HzpDH7KBxEQAREQARHIE4GBC1NnqMtrNjlDPbKshsqlm1aGHbAD0f6Ni7NbzlYXrwoKjNaTXDOYJTwybKqT1CiBSyfZCLkhAiIgAiIgAiIgAgkJ6O7KhKDULSsCtUuWLf7HkORDMgqMdEhuTT1FQAREQAREoGsRWNaSzGWgl6XF/J/ckhom4xHpkWVrEQxneHIix5+p4QpHn0N1w3pCAcltjUFap0TFN9J/zup6Qgf9TNa+kfYpE6+Ih5EfmtrHB80iAiIgAiIgAiIgAiKQFQHdXZkVLnXOSKCubMXAokP6Fv20cursjJ2tg45IJwSlbiIgAiIgAgVJYE1DM0ekw5cizq2sJ3tL/Flmgh4R4lAOifpzcIhdpJKD0q6GwogWHXLu6nVlNakUMMWrNpEfrac10bq0psEf255lu0ASH9J96NCe/mguERABERABERABERABERCBDiHw8ek3v12014gfn/N10yZHvdI5oyQv6cioXgREQAREoPAIrFrXSLQhYYfcmsjJ6FFlaz/7qo4kL+GVkhV6UGkVGmN5GrmPRNVDStfQISBOTm+50XGhJ8RZTOPYlnsXS9emIhgD8Y3MXru+uX9Ltuvw2eqwb/mriQlfNMlRQYz5gy/LIiACIiACIiACIiACItB5CNR/WTGo6DA0xrl3v5jQq5ggRpoSGlE3ERABERABEejkBGZVrOszvzL1Kal865sPOaBRGueujgjMI5KQzsiM4ZsYaxqbP1i0htb3FlV70YspANNaBMbF1RuiEFfVrUeERM+0NNOWAiZ88tqOWo+KTf6C5ulyVecJtWXEThe+SD3hmnmaWmZFQAREQAREQAREQAREQAQ6FYHFLw9GYOxftF/13EVJHGusXBOpMVJJUxIL6iMCIiACIiACnZwAh50R+uzjZEZTGlHV+pZUTiivDi8BTbLvgko6kGO6tKp+WU3D8tqmf39Z229BSqIknC+s+E1ekUoVbXGPSIJDWrJRuwwyxC7Suugb+dFm/Kzl2kZ0zrA136XK+pRWSSpqv7JtyxkFRjq07YyyJgIiIAIiIAIiIAIiIAIi0GkJfHTElWiMY/a/JLmHnJVGUSSlCx8KPCYfq54iIAIiIAIi0JkJoBNaVJ7TGH2l8a35lXzenl85uyLiasSqhvXjlq5FZuTz0pyv0CQR2RAYJy2rbWzeePWiWz5SJHMRuEjNv1syxXDHo2u1Gxqd3kj9itomcwbp0nWLLBA2ieV3Q/loIjvnVqkj0rlx0ygREAEREAEREAEREAERKEgCtaXlA4oORGNc+MRbBblALUoEREAEREAEEhLg3kVTF/3fYaURjZGDzHSONFtZ38i1io9/tqrX9C+nr6gjNDHdz0fLqpmosmE9p6QpDF281u87pSW+0c1CwuhBpWvohgSazqCrJ5UMPfvn85Cykrw42iqIgAiIgAiIgAiIgAiIgAhAoKRXbwRGkkrX/We5gIiACIiACIhAtyVgQYNIc5EfP5SRo9OkgEkHirzSWOi3oCpw6WKg/7jylgjGdY305Bg155r9DhxwxghRkVY5rryGR377fdKVESrpnO9bEGOCGJXhJd3WqF4EREAEREAEREAEREAEColA1afzSh55o/h3D86968WK8cWj9/0vNMYJx15TSGvUWkRABERABEQgKwIxihl6nfugNCIwjlyyNp1xu03RP+8c2ZPLHrE5fMlafhMQGOhjiiKxiNST6oU+RDASx5jwByffKolLszK2vOaDxWvCWWkS2qcbvkUSo9LcTm5KPUVABERABERABERABERABLoWAcIUxx9+BXKi/xm2w6n2uOSNoV1rOfJWBERABERABNqKQMbEJaYxmsD4TpoDyMtqm6xbRjWQTNDWMzIu0bJFs7TV9euRCrnRsWLTEMf4Vdta0vWZ3pLAenDpmtYrgUijKIpMx4dCWClN54PqRUAEREAEREAEREAEREAEuigB1MWh252Cljhit3PmP/gqFzCu/njWohfeHbn7b0xgHFR0RENFXMBDF1243BYBERABERCBjASyEhj7L4jOkmyRh0QnZpxu6oo6tEpSsUSqfMNQ7VoOWb+3OHX14vxQiGO8/XcWpkZFBjwSCEkTB6i5/tEZITZyQVU9h8Q//2odGmlTVFYa11kFERABERABERABERABERCBbksgpS5uezJC4uw/Px2E0NQ09+4X+xb9lNYpZ98WbNWzCIiACIiACHQDApEHfi3I0P+94Yh0WcQR6ZrG9bTSuawmQ6Jnw1m3vtndshgAzDnrgQurJrdkl56wrDbQmvHRMsKEU8yQNYZ4SJx0+alX1zeOLlvbp6TKXyNTL6puyDiLOoiACIiACIiACIiACIiACHQ3AsVXPIx++Mlv70u38JJH37Q4xuVDPkrXR/UiIAIiIAIiUKgE4pO8mP5m6iIHlj+LSvJiFhD3Wo8IiY+bHpkOpbEx+3jC9xanrnZEwPQ9qV3fjFnqXTzk8tomQhmpIdEMEZUEN85evY4CwZNUjl5ag2TqW1BZBERABERABERABERABESgmxP4oMeJ6If1y1fFcJh24V30eX+L45tqsg6WiDGrJhEQAREQARHo/ASI7st4StoERs5H0zmwIrS8d75I6XKcMg405fDYtySlLgYOMie3wwlrPKnxQhg59WwJZaat3JD/ury2CaWUbpO+rA0kvK5uWE9YI02jyjKf9U7ulXqKgAiIgAiIgAiIgAiIgAh0aQJVxfNRDjkiHb+Khq+qBhQdRM/pPR+I76lWERABERABESg8ArMq1qGqpfug+KUExpLK2RUREqLdbUhrIG4wN0pchPjvL2uxmdvwES0Co59oZuKXtazLXQ5JUKRlu/73ig16Y3giUym5mzHcpBoREAEREAEREAEREAEREIFuSKBy6mxkw5E/+XXGtX923aP07Fu0T8X44oyd1UEEREAEREAECowAElyMwMix5XFpEriMaAn5y+G+xHwAtFWQgdqMz15dz6LeS5223jAbp6SpQWOMOX69rCaVDoZ8MQEPiYFElkx3e2Sgsx5FQAREQAREQAREQAREQAQKhgChiciGA4oOzLiiyk/m0pPP8B/8qrkheP4r43B1EAEREAEREIGuToA4xsiz0hxbjoxdZL1IeSZLrqztFP/TacmsK1oExqU1TaYTVjt58euvB5am0kxnjJC0ZDG13kAOU9u1jU697OrbLf9FQAREQAREQAREQAREQAR8AhUTZ0z7r7tH7nHuuEN7Fv/+wdLnBjSv23i0ys4+V82Y7w8JlxlC+KJpjLP+9GS4g2pEQAREQAREoOAJcMUiGVvIK43SyIcCj+F7Fx2HyStSB5CHLo5ILe36tGfBDkSvqG2qbFiPHsjB7ZXepZGVLXIoGmNGlyyzNue1XU+yS7NSQh9djQoiIAIiIAIiIAIiIAIikC2BlbX/+b8rJxcvG82Hwsqa/2RrQf3zQYAAxYknXGeqoP97+Pd/tfrfM23GKb++naYpZ9+W0YFBRYdNOvmGfkU/71f0My5vzNhfHURABERABESgOxMgvs8iHks6zXWFk1fUIQMurm6wixYDkYp2XeTYNGe9/a20SMiF3rqs5rPYRDYklPGNqCwCIiACIiACIiACIiACjkBjcwOK4idLPwx8qKTJdVOh/QnUla0gewviIbGLC5/s27CqsqakbNmgcWP2u5jKvkU/nf/Qa3i1ZtbCt4v24bFm/pIYJ6vnLWbUZ9f/fc5fnqNAXumYzmoSAREQAREQARGYuzqVGqbfgqpALuaEZBqamlH8iJCcs7q+om7DrYkJx6br9snKlMBo56BnrAqmpLFWZkw33NWbPulCN+ubmi3x9JqGtH6msmkvXMMlkKzL2VFBBERABERABERABERABIxApLpoYiNNotSBBExInHj8tV83bTzBZP4sen4goiKf8nfGUGNRjiN+fE5Tbdp/U6BGoisuH/JRc2Nj6TP9wjY7cKWaWgREQAREQAQ6IYH3Fq9FzSP1Sba+IdMhxJlkhwX7oOktyjV5tHOgeNWGdNgfLat2la4wvaWVPq4mskBkJi6RONtFJM6vTKWG+bCsJrK/VRI2SR+doY5BpCYREAEREAEREAER6LYEOBkdCFwMPNKh28Lp2IVzAho98MNdzkIPjPSk5NE36TCw6JDquYuIdRxSdCyPE0+6PrL/qtHTBhQd8P4Wx0tXjISpShEQAREQAREIELBUy0hq2WZVJljxnS+qGDhwYRVXOBLESHIZklAj6FFJTWCirB4nLkvdCTl8yVqnDfrDF1SlNMBJX2aYgpPRdPtg8cbrFkcsSUmpRGz61gLl8S1TB8IjETNJPF3jJYsJjNKjCIiACIiACIiACIhAdyAQE76oIMaOfQFm3fz/IhjOu/d/I92oGF9MMmg6oCuuHDmFPpXT5pBLmpoRPzo7cL/iimGTWhLB7L1i+MeR1lQpAiIgAiIgAiIQIGB62ugE9xn6A8nvbNc2MjygupGNZXBLiue5lfX+kORl4gxRKUkAXbc++pAyU6ATEngZY5ORgxelMk27iyWRB3nEcjqzWONY9FslKdXUl1sx1f+LKgZywjpmRjWJgAiIgAiIgAiIgAgUPIHp5aMCIYuBR3K+FDyEzrnAUXueh1pYOWV2wL2mmtrpPR9oyQe9zyeX3te4ZuNppuXvTxhcdCSjyOHC8eri3z044+peQ7c+yWoW/++ggCk9ioAIiIAIiIAIRBKoXd9sAYdLqrO7j5rYQlQ4gvoizaLOmUKYMFmKL1FyvPqtksq+JZWr6+OuSSThNVMs8LK3BDyZsSp1i+OQRRtPWM9quWqSM92Bnv4jBhk1bMkm0mVZTROVY8tr0BeRK0eUrUVB5UOq65i7HH2zKouACIiACIiACIiACBQGgYwCIx0KY6VdbhWjf3ohwmDF/5nue46EyDFn6od995eceram2tLyTy6+x8qNVdXoiiR8oY/7jD34stWTPvPtqCwCIiACIiACIhBDYMZXqasOiRWM6RNuMhWOAMKYgD5LAx3I/hw2ZTUjy2omLKtGAJz4ZTWBkf0WVC6rDV7LHBhL3hZ0SE5nuwQufgcOa7MuPktqNtrhrDQ18S6NKksJp2Sr8a191HJoGpuWMsYs85vLJ5UIxgelsgiIgAiIgAiIgAgUPAEdke60Wzz59D+hEC7tM8I8bKiomnL2bdT0K9r38xsfa163MaACsZF6rmF0ayHfdMXEGWX/HL7opXdrFpa5ehVEQAREQAREQAQyEiC8EIEOoSzb9C4Ikox6e0Hq6sV0cYboePSZummII4IkKVS4QZE4QHcGmcrx5dWcQSaNNdLikNIqroXM6DwdPv9qHRrjWwsqp6+sW9PQbLc1EmY4rryGqflwptnZqW5YTw39G9NHVXLY+58llXz8U99EVzKKsbiHwDivsn51fSOHrMkyHa9VuqlVEAEREAEREAEREAERKBgCSvLSgVtZt3TlnL88N/X8Oz/+5U1khfYPO+PVrD89iWyIqEi5rPewQUVH8Dhit3O4azHg84RjrqGp7M1hgXo9ioAIiIAIiIAI5ECALC2IhKbFceSZlCiRGVUClitblDr0QLtokeFkTkFqC9xOuKLlmsQpXqoX+rzbokzajPxGqPzsq3Wm+HFBItrj4jUNQUOB6Td95DJGPE/JjCWpeEI0QM5N8yEMEmt+39K1qbPPhEr6lYEygYv0GbVpH8sUQz35a2LEyYApPYqACIiACIiACIiACBQqgZggRpoKddUduy7uUZx20d39in6OMOg+XJ/oJ2epnlPKRYskiZ5w3B/o079ov1TCl6aNB5rcEqb8+vaUwPjP4a5GBREQAREQAREQgdYQ4ITvnNWc/K1GQOODbEg0YLV/JWLIuqlw/27J4Ly0pmns0g3hggNL15B5uaZxw8WJ6HsYnPJNBGNZTeqRD8eNOWGNaoeF/i3yJqmoUSND82RRwbWNxSvrPiqvHrZ4LcGQaInhFRClyezxsZp2Ajpwr+PolkPTWM7CIXUVAREQAREQAREQAREoXAKNzQ2RGiOVNBXuujtsZVyZ+OEuZyEJftDjxHn3/WPZ4PELn+xLaCI1hClyutl5NvHE66nkM/aAS6vnLXb1gcK4Q3rSx13JGGjVowiIgAiIgAiIQM4EymsaxpXXEvtnMiCyIeJhpDW60cc/HYwgOX1VHeIk9VjghDI3KFLDIwGKGCEo0VpdQmezTECgXQJJIOWKTJcuRjqTvLJ4VepWRid4hgdaiCMppP1rFTkKbUwIlQwPSVLD2lEskV450A2WJDGiScyqjwiIgAiIgAiIgAiIQMcS4Kw0iiIpXfhQ4LFj/SnU2ZsbGk1d5B5FPxyxqbZu2oV3rRq7IW+LLX/1x7NaskXvtfRfH6YDUjN/CSldUCaJikzXR/UiIAIiIAIiIAKtIcA5ZYQ4QgrR4vhwCHr26noOTvs2TWAs2/QAMh2QzohLtOzSjOUmQ35zXaGN5apGQiV9O648tyW5c+BgsmvNWOAuR7I8Z+yGtok/HyxeG3kFI0KiXSyJOuqbmltpB6tzCV9k7UQ/9inZAJPZ+byzcA0cNgHqz6eyCIiACIiACIiACOSBQH1TbUnFp58vH/fJ0g/5UOCRyjxMJZMi0MYE0BWJNiy+4uGEduc98Ar9+xftXzG+ODyEaxvH7H8JHUoeeSPcqhoREAEREAEREIE2JID8RYDiiJajwWhiXG846cuN1w9O/DIVwbgoJDA6B7jakf6MSpicmun6ttydGFAyncH4Aket8eeTlXXx3YhLtEsjCWIM6Hs0DV2cSh7NJ3Bzo+mlgcDL+ImsdXltE4vCINdCkukGnrNXr+OAtkVyonPmttgkU6uPCIiACIiACIiACPgEEBKLl402adH/TaU0Rh+Uyp2TABmfCThsWpuFHj7tv+5GQkwlj77hsaa6b9I+NjevGP7xhzunjlpPOvWPzY05HlDqnJTklQiIgAiIgAh0ZgKEHU5eUcf5ZS4ndH4i5aGbxV9mSGcEtOQ3K5KTBZvhixPdpOkKaIOWp6aifsPdj+l6Ur+qbj1yHxOhfBJGyBnwVesaOcRNVKHV89vXHte0pLMhd4x/aDrGvmsqr21iFBMhtG4a/vk1pkyhRboMNLnhKoiACIiACIiACIhAGxIoqZjm64p+maY2nEimRKDNCTSva3i7aJ93i37xddQxJFrL+4+ee/eLc+54btW4T93siIfTL/9vOys9oOigkbv/ZuJJ1w8uOgppkQ+qo+upggiIgAiIgAiIQLsRQBNzJ52ZlBsXUc+Q9dLF4HHc2L9pkLEcNEZVQ5mcX1nPXYu+iIdBtEG0OBLNBFa0rKYBGRNtk7mQBBHrCAsM9EEnZCxiXaA+3SM+44apfwzkwxWL5J2ZVZGy8+9vUtLY8Bkt10gGDk2ns+zq+f99LFlMwJrfwQIj/XsskTo5n+76JC+ggsYn5UluSj1FQAREQAREQAQKkgA3BPqiol/mrHRBLlmLKiQCw394Oqpg4E7FFcMmTT77VsRD0wztN6lbNsYrfv019zGO2vM89Mlv+uxD5peVo6YWEhytRQREQAREQAS6NAHO/CLHcWsiWmJgIahkgxelAgLtkkYLdzQpz/0mXpEkMvMq64mQrGxYb2rbxGUbTz1gFDnR+iMAkp/ajUXu83U4y3+9cG122fqwQL4VboxcUtNkMunIslQubCRNfzmmE5Ki2q/MWJ7fctkjY6P+K+uG0XYh5OilG+97tDPa6RLrxEyKjInn6e63jBmoJhEQAREQAREQgW5CwFcUw+U2hKCbHtsQZjc0RdIW8j43fFUVWPvs255BIexX9LOp5985609PTj7jz0OKjjbNkKPTo3/2X9Muuvvj024aUHQAlZx9DgwnmrGmpIxcMA0VQcuBnnoUAREQARHIgcCS6qY/T/zyN0OXHD2glA8FHqnMwZSG+ATWNDRPWVH73qKNghjiD49U0uT37NJlRLkxS1OKHOlgSL5sGh3LI6rRxMBRZWt5RGOkDx8ESQS9yvr15KrmKkIiBgcu3CT1CX3ceWoCJhlODSrlrNXrTMNEEiR80cB++M3hYqzRjVsN/YDJHMCiBI4tr0EX9cdykyTGuUcxW+NGwI9O9M1a+ZugzQ0zQoa5uLXS107Do8I1QLbD3QRAhltVIwIiIAIiIAIiIAIQCIuKfk1bIdJNj21FstvZaW5e8toHI358jmmG/Yp+/tHRV6/5rMRxQCH86KirrNX9JjSx5NE3fc2wYuIMxqJDNlYFD0Y5UyqIgAiIgAi0LQGExFOHLDJpkd/HDCg9ls/A0l+9t0gaY2tQkz0EmSjmg8zYGvudbSxheHZ3Ikt2iacpk2bahDIi9HgES6TnZH9GheOOR/qQ9MT1saQt/RdU+eeyrRWtzyBzcSI1ls96+qro5NTOYMJCQP/ldDaOEUiZcLh1M6kQjTF+FKGbGB/2zcluMnfzOL486/9fiJQ0DCRaMn46tYqACIiACIiACHRnAu1zRFo3PXbndyzntTesquTYMrIh9yUO2/G0UXudh0LI46CiwyqnzXFm0RiXvj2SaxVn/KFX6TP9apcsc01+YezBlzF2yRtD/UqVRUAEREAE8kfgTxOXO3WRgqmLxw8sPeHdL+749/J086I9LqjK7qxoOlMFWf/e4k2iFpF9Ij/E4BXS8msa189dvY5jy++WVnHIF8XPP2VsGZM5BB2z5KFLUsGKHCu2Phba16ckQl10RmCIZU5Kc3qasXm6gZCYRowTJOnmTVJAMmUUB8Azdq5uWO8yVlt66yXpE3NjjcjPcJgi5JluRovc6mbkjkvU0ZW1iml0SFQQAREQAREQgW5NoH2kv/aRMbv1Rhbc4htWrP6gx4lIgpxrrp5TauvjiDQ64cCigxf/Y0i2K554/LVY0y2L2XJTfxEQARHImcCpgxc7gTEVvjiw1NTFkwYtumjEfyLNVjU0H/RWyS7/mDPpy+hotMhR3acyY+wiKpD7pIvoKzBcBARaLhWC+tItjVPPYOEYsjsazPFnauJTVJuIRzgoPTmpnc546+vjpdFI+3bnZPGqLL4mK9c1spBAAuuAcc7X0weefj5rym+VpE6aEwvq9zc+BSZl+wtUWQREQAREQAREICsCHF6OVP+opCkrUzGd/WPX4XLMQDV1WwITjr0GPXDOnc8HCJAbuq5sRaAy4yPBkMiSnJL287xkHKUOIiACIiACrSGQTl08edAijk6HLSP+nDJk0ZZPz+Tz3RdmDVxYUDF44fVmW2PiDzpP8k8h3ccYg2tky1WKnP+N7EOgnWVRmbpygxyHUAZD9Mb46yoJm6SbhS/mkBUl0pm2quS8Nr6lW3LkLCyfIRwVj2y1ym/yWW/yTwA4MXCYd7rcOhM/Sf3nm4Y1xhhXkwiIgAiIgAiIQMETaEm/Mo2c0Sb9USCssQ3VRQCGRUW/puAJa4HZElg17lPUxbEH/Tbbgc0NEed0Uvc0HnElBufe/WK2BtVfBERABEQgZwImMFrs4nEtJ6OJXTR18VfvLQ6b/d2YMqTFrZ6eecn/9x9+93hm5hMzvgp367Y1WYUvovzw6SZBjCR2MRlwfuWGE9DuJSEvDFcOGg0XKEheaWo49uu6RRZI+2IDOVkc2cFVomG284+Jflnd3PjOwtTheoI5Y1y1ZNmBfNZk8WZgIH80YDlgTn2eTo7HOKkmERABERABERCB7kwgMkjS6ZndmYzWHklg7j0voQfOf/DVyNZ0lSV/e+PdokNJCuN3qFlYNmb/S7A2/tDffU36Rv2IgAiIgAi0FwGOSFtiF9RFDkef+O5GdbHnqPKAF/89baXFLv5PcQVN/5xftf1zs6i5cfwy/e02VglvXzRNjN9obh/E3sRIPuXGQvlfRnJMv70gpXeRxoXjw4uqG0gNQ4Cf5T6mnihH98rZjYJ0cDWRBW5fNJizKqJjI92o0WWpayHbU2qz887vhaIKnUuBAhGYrIUbLAP1/mNkPmvy6DDwnyWVllCHGxpJvU0W79mrUyItJ819CyqLgAiIgAiIgAiIQL4JtM9Nj/lehey3G4HZtz2DJDjtorsDM6byufQdOfn0Pw0uOrJ/0X7vf+u4GVc+4k49z7i6F6PICEO8ImIjKuWkU27sW/TTlKkL74oMbgzY16MIiIAIiEAbEiDJC4ldAuriae8tPvP9xfdP3eSyizfmVZq6eO3/2ZioC8Vmp/+dQ/2vhy6pXS+V8WsTu5L/RmDsM78y3YaiF3FGeODCqoVrs0svks5gh9fzkpAYmkU5RKiLnPnl+kRquDDQefhBS6KcFbGxfHReWJXS0Lh+kGg9NzaygKpJz/jgwMiBOVfikE2K1hdpBGcGla5xZ6gnLEvdJDk99s7GyHzWKIoMRFS0WSa33EhJjX0Ikc2AJtI5VYqACIiACIiACIhArgTa56bHXL3TuE5HYM3nC1AF+xftX9Z7GKJiU23dimGTPrn0PvJHUx/4kPbFaYxz7niuX9G+foeRu/8GTbLTrVAOiYAIiEA3IEA+aOREP3aRxzPeX3zRiLLymo3nNEcvrdnu2VSwIsJjQMiZs7p+7zfm0XREv4Ur6jZJMNEN+AWX6FSdJAVTF98qSSsw/ntF6kY++2SbwjjoWWd6JiSTyEwSJaOwWXgmOhvL9FMnj2jJ8EK3eMc/ahHlJi7b5ELCyCEDW6ZYs2kOlMiebVhJrmcCC9/5oiqc9JnYS1v1rNWp2EtAWHjn6vR5cOiG2gyowMswrIWVL2Ni3FLM2MuDiouu646ft+ECZUoEREAEREAEREAEIgm0w02PkfOqsjMTQD/8+LSbRvz4nAnH/eHzPz6+7N2xztuJJ15vOqGFIH5T3mfcwZcveLxP9ezSxqrqpW+PHFh0CE2lz/Z3A8nnQocZV/1t/sOvK2e0w6KCCIiACHQIATTG2yYtv3BEGVcvoi5ePqr8vqkrfHXx84r6H7w0Gwnx0L4LIk+YIhMd3n8BHfZ9c35FrDzSIQtsz0lNz0n4O15grKhLJRR2n0jy7bm0vM5lwXsobGU1G4IY7Yh0WfXGmMawAzCx5NRh+S7c2W4jTBfLl64+bMdqVtdnUD7dwM++SoUXIjOi+NkmEsY5v6rewjjdqXCkVLqR6cYNDBe4x5I+aIx+k2XDQaZ22betlcQudEanJULSlEwnS/rpp31TKouACIiACIiACIiACIhAPghUFc//cOez/FBDK0845pr6ZauYkRPNnGseUHQQ9ZyG5h7FuXe9WPef5QFnSp/uR4ePjrwyUK9HERABERCBzk+gvLZpj9dTAYr8Rt9I5zARU4RB0u2kd78ICB3phhRkPZJOwo9TF99OE8E4siVtx+BFqdA+ZLSCxOUWRRwj53yHLl5L0harNH1sfGxooqWGCadOdmZdgVTUYOz/xSbSnGtFgiPIsHhV0qPEHMfmUDZbk1Cp4zJGlsaO21a6N4Rs0e6CTeIYqf9oWbXzKlyY+GXqDDWnpP0m3KYyDOq9ljfHnTrHBzeKA+komRmPn7v+KoiACIiACIiACIiACIhAzgRWDP94QNEBCIMTT7q+/J0xxCJyJrr0uQEf9DiRShK1rPxwshlHZmyqiTuaRA4Xhgzb8bScndFAERABERCBDiFAwBVRi8iGRDDOWh19j5xzjNhFIhjpfO+mlze6Dt2hkDzJixMYhy+JCFpbXN1gMpRdrxcf2FaQYFHeEP2glO5gL9moDZF/NDgdCgvz40bEcAeHGmsJ4xhzS57CdZEoiqRc4YNIGJDrLf/49E3FQ99bvowmUQaChHk38HyJd6EBowiwpJKI0MCFBjQh4Zod/qOAb19lERABERABERABERABEWhzAnVLVw4qOhxVcN4DrwSMc90iiV1o4q7F2tJggtFAZ3tc+q8P6T/5zFsjW1UpAiIgAiLQOQkgTXDjIoIhn+u8xC4x3vZuSQSDzBjTp7CbTCYy4Svmt1MXCV/k5GyACdfxWeAi8WwLqlJK49ilNYE+3eHRJEQQuTA8t2qT+CDD7YJhDc11cwVO8dOZRNKuxgpceIgKZ+esA0ePAz39Rzu+HfbK75NtmSzYeEhMZrqBdiHnkEWbdFhVt94gBLRCMsVQz8HzsLW5LcIs8bHhJtWIgAiIgAiIgAiIgAiIQNsSILkzkuAnl9ybziypn+kwYrdzmtfFXY7EcDqM+NHZdCYMMp011YuACIiACHRCAmSLNnVx25b0LjdPCN6AEfaZ4CjLBUPml3Brd6hZ09CMsJPx4wTGvgsqGRIgY6eDuVWPGDNO72ItcCo20L+AHxHxkBAhMHzJWtKUzFm9DhSWrsXuMAzLs5E0LExx0pebCG4ccLbwv3ktmhtTRI6NrOTKxMC2bUhXE9k7QSUHllkmUmdFVKYkF65Jxm3f2NSWNECQ8Sspv1uagrZ007BG6/Nhy9F70m4HhviPnKcOrM5vVVkEREAEREAEREAEREAEEhIYs9/FSIKrP54V2X/RC+++W/QLOoze979qlyyzPpyYLu83KtCfo9MTj7+WnlPPvzPQpEcREAEREIHOTOB/iitMXfzvaSvHLK394f/O4fG8YUvcFXmRzqNKbNUS8YhiE9mhO1RmDGJ06mJk+GJtYzP1qEPcrQcu7taj3J15khKFiEHkVjjYh5POCIaWTzlhVmiSqrQgTeVrdj/EhVKJRscpbArhawytJ7NzqDlSrHOmuEOSRCrjymu5ntFVZltAO8WNdxauwVtnhe+UXc9IE5+AHM0pciqJz/TnsnBN7PiVVgYX/ZExQ6r2xr4sgYQ46LoJb5jcOFIlERABERABERABERCBbk9gad+RHGQ2DKiCZIUm9XOYCrcpjju0J4LhgKIDS3r1dh2WDRr3dtHefYv2mf/Qa42Vqf+HlpPUpI0eut0pdJ5w7DXxlzQ6OyqIgAiIgAh0BgJvl1SZTvj7MRuuwuACxj3fSKV6OeqdhSujIqzM7Ylf1tGnxzMzY+SLzrDAfPsQfxOjExgjb1+0k7Dvlq4xpWrokrUoQi7/b74977T2EdxIq022aPRGnFzUckclyUoSOmypnBHuXP8Z3yRZRhskZzqQI4MhLYUKx6gtsJCY0sDdiWbQ/EFjdPb9glML/cpwmW54xVw4039BFRGVLJBATV4Yy7IdiLEkARM9eVUCprjpkfqpoaP3dDMOSKaBIf6jRUuiqfqVimj0aagsAiIgAiIgAiIgAiIQSWDef7+CPMiliw0VqeyKaINIhf2L9t+kc3Pz/Idft7QvHx1xpbt9ceWoqXPufJ6en9/0BFoin35FPxtcdBQSJWVSS8/+89Ob2NGDCIiACIhA5yZAHNf2z81CJzx1yCJfVUBXsYQv+/SeHxlQhzxyWP9URpiTBn3RuZfYHt6li2NELOJDPN60FZucdTWf0NCQhvi4+/3sIHDCfBxokh8tq0WG8lMGt8dq232O6S0nx8tqMtzT4vxCbYNq2TdHhpe06JOcI7aIXLvokvPXrr8VTDZkIP2txu42DGt3I8tSOjBn2wMWeFxW00AwIVGI4abIGkJYORc/omzt4NI1yMuENXJRpPnP9Yn+EEsqDQq/kq+hHSqPfAfsSDjr8ocEykzNWgLfcTRJxlbWrw901qMIiIAIiIAIiIAIiIAIGIHKqbNNDCR1y9dNG47YvP+t45AHG9ds+A/cVTPmj9rrPGpI7LL45cEOHblg3i7aZ+i2J1vNklffG3fw5VhDVxy69UmfXfs/9ctXuc4qiIAIiIAIdH4CqAr/T8tp6IPeKqkKhSEic539QSrtC30CBzDp23NUGU1c2Jgx33Tn59AmHnKaFZkxEM34weI1nMkNHHR1041oiVd0gWrIX0g9qJGuQ0yBLMMYp799iIWL6VwATSSGTr4KdFewWBQiKhmyLS+4S8fMxYa0cuzaN4jYa+ey3YWi3LLYv+VIsgWUcmsiNxki6toJa84dR14ggDSH8cjwSH+6+DJfN3Rp3z7z2lF65Ed/rGmniJN+pZVNvmbtMddF8h3HW+byz3rz7WZ1DES95IffdEsoetvU+i0CIiACIiACIiAC7UNgZe1//u/KycXLRvOhsLLmP+0zb3eepamu/msOBX399cQTrkM5/PzGx3waY/a/hMrS5wYQzUgIYr+in/P48Wk31X9Z4XejbJcxWuijNWVM+xKwoEcREAERKBgCS6qb/l5ccenIsqMHlLoPj1TS1PmXydlnohMRCXd7bW46h5E1yChNn/+fvTMPr6sq9//55z73ub/H6arXefYKlUkFUZBBBEVRAQdERGVSBgfw4oCKInLFWfhZEAotpQU6z0PalDZJ6dympU1Lhl8mMvRkaAYyNEMzkP4+e7/pysre++xzkmY4Oefl2U9cZ613rb3Wd+/E5pvv+365rlpbNbvIKWE3o6Dl/CXl0knNxuQ/aXLuUIxIoHeM9gwnET5CUcbdMJSX6NaIlyswkzfuOqkasMkttwhBhyhXVHxGI8qRMUkBNNtdhUjxSdndMOSfUu4WcjQ+zsIcAruksQdaNpPQDVnH4rEo5QQBxy3aIylk/yzrfzfwoaYfDaR/ZUhOhrYHWUubYKn36Mk9h0dlIhY5kJkckwqNfOQiJdxDb5p14jagZ91/h8YN1ABFQBFQBBQBRUARUAQSQqBvoBdGcV9Npueik6GEltCgkSPQtPlFFIalf5zDVDKjV0TO87CC5Q8vhFHE/Xn926+gsSpyUSwP6LWv/QwBfW0dI9+FzlAEFAFFIKUQ+MuBZkMqBjagGZP8wJcsfxmS8C2PFwSyE/bmYRjeO7NIGEXzFf/oJwpb7DBtJ44AbAt0DaSNzVOVucROeMU8boHE7lnXAwXpo0js4k5JfGOpEYkvDBo8zoIPCyB7XLnh0+g0mj3+/ippwlk1nTYJBryEmUxqSEhKGlICkU4uRk0mtQFNSjhmRYfVMzSjJ9MQhxpPUjY7lxKOiCr9i4stDgUn/UOmB6A4S8XRYbnYkgDOjwVZHE4VkpZXjpfN+Vv1yP8TnST7Gd30kd9QZygCioAioAgoAopA6iMQyC4K2cjQ2J5fdZIGz+ateVRZpKAipi3kOFM+0QxJY6C3b1XkQphDajPuu+43JlfaE4YGkkXQN3r79bMioAgoAmmGwPUbawNJRU8nasZkBmZjtPNdTxauG27uEGvDKJd+tuPIxcsqSJc+/ZmS21+oQ8pogjGhDvOpNXHaOIEATBHEDjm5duYplA6dIdm1CErF/oMw0rELWpx4mLST1Mud2FTq/O+yinb4W7E4Qc3oORisGtSZ6RSTlNVVR20bZfKpwZYwu5MpCAuln69c3AW1oSwFOSmcnqn9aG5x8g3qT1Iulbx4eylkgeyBXGa7U9otPY4a1lPZwBPGNzUxnLHP4lU7+5xOuaj6aKhL3j2Tpc4uwJY8dIhZYsDEDHluIR8DdZKBkdqpCCgCioAioAgoAopAIgjA+HmEi56PBCSyTtwY1Un6ITpw8x/gD7d84ibcossfWuAPKHngKQLIgO4orvKPSk/lY8uJwfMlVoD2KwKKgCKQDgjE1S7aNCPByYyJh68Y3Vbv2XkEWeMX18T8v4/RLZvCs/D1kHp6nsKJMEgQO2jrAs/e0ftqhqs3g1GE90KAJ1nSIYRk4Drp0InmVhCGADRKRXNwV5I3mIshhCFEnOd7gQRhngXJ1GaWNFZXOgpGkoih1ODYYRTN+uHW0p51xuQjmfJsBgdqmyGUlXHQZgjdY8iN9rs51LaGluCCFmeinDFwbn1Xv5FxSj64xCOjhdUMnDKok2zXZKVAeLRTEVAEFAFFQBFQBEaMQIh8cWxFjCE3GnOd5IhRmKQJ/Z1da19ziatRPKVi+qKAXQwMbLvoVgIy3vhZf+lF4tvzy12V47TWvYUB07VLEVAEFIH0QIBahTZ/mEg7VnnD1ADs8YKWBPOsU+O8Y3IKIa9gaVCF2f8Jf4gNsd0pbVgdeCSYHBitxi6HxoHd4iOdHomdf2669eBRIpQXAlF/zUAwZ3STm8UM1FBk+L+YMpiCFZyhGL54pvMUmAs/6XlwMgtJMKOeLOZxBR8loZgKwaPmNR2zhaxia44LdqwNMFcI6prhOdTyEqJODJwIMktc4xtoyXY3Lxu2nPqQkmOOGDI63DqHRQJ1koGLa6cioAgoAoqAIqAIKAIJIrC/dpNHsuj5iOdLgkuFhE2YTjJkD5M71HaAYkOFfa3eEvH1a7cJwZh7za8CdwgJueE9VxKDeXTljOUmpr+ru+qJFa69yzSEjqZfG4qAIqAIpCECI5IvCv2Y5CLGk3mIcBGvn46R9Es0dtZ3r6/u3H6kezhndjLLp+ZcvEWE/rJtR+So5LoyhFGI5+RFrT0iFcusPgqfwyiJq9ITS+7oWSGtPgIQukRUc36EwQHlISDD8SJZlAqW/jDJPQdtD27iqOKp6CgxQqMhLqVUIywcWdIIGj38pGe1MfnIvWAR5c2xa0KKUzbHjHUXSdKHoLbSowcNsmFc7cx9ewUxjgkURkJ1805yyStqZkniv0cnaUa1oQgoAoqAIqAIKAKKwCgQiEswEjCKZT1TQuSLY6uT9Nx30j/2H+0q+Nl0PFyEReQr2dCHfvg36EGzt9yv3kM/dRRjubR0Rxs2n3uDrLAycn72mddtu/BW4ulZHDmz5rlMs5Q2FAFFQBFITwQSrL5oKxuTvBLjqJ/j/qZjGMQgXzx1TvH7Zg1ZwFDX8YG9jV6ObNS3SbmJG1zrECxCPCeDmIL4QgNm9+MFI3JHhtCkGVTFpmRtAn7T9mraBgFJK4aUk7xdagn6YfEbTxMDbyakbmC9QVEMkiaM9k8seHhkXJhTwzT6bzG2PbwYSAfN68Hi4lFOLUreK/+9UGyKRJNt26NiUhNLviiR+JWTrW/PMm2pZumBFHUlOPiVjWaWNhQBRUARUAQUAUVAERgpAhND/cWlMcdEJznSs493fEdhBanNLjF4ata0a7ZdfNva/zOYEL3m3y6uW7FZNtD7Shu0IWH5//NwyJaqZ69d8++fFppRqMXdV/60szSprQpCjqNDioAioAiMIQI2c5h4eww3kCRLVXX0C6n4mn++dN6i8l/uPvKv/Ja7ttXTFptpXGCSZKtJtY3KdqdoHpcnJ5dNimEHrJfZMCqydVbRRdNPTqssAtVjOrWRIAJi1S2Sv+1BicA1bmFDqjJ6iDnRBOI07b8RqlIp+QgDyROEYYPGRNEH4YYakIfFLKSG/onj2kMaOLfOjHYaoxa5HSn2khztfw9XumSgrYQc0Q7RgrImOk8zS95qj07SjPob0KHIoakD6R/SHkVAEVAEFAFFQBFQBAwCE5O8HJdgHBOdpDlUMjS6axpJaoYJ3Pft+7qqh36ha80tyHznl+jH97kpa69sNfrseulpP1gavnkyptsPlTW/sH/g2Lj/5T18JzqqCCgCikDyIJA4qWhHJs/+x2Qnbb0DH51fCpH4thkFqyqHyARZnKqMjKZ25clRw5jffAz/kcB0USG+kMDJ4g3H+qTYnSm6KP0ktIq+zkRKP/I18oLJe8XdI5bXxqi3nUoTYf8gwbiQkgZSfuT/Mkpir31qYBdnk+rhFQslRpximAWj6FkTuSNG7QyFywLte41VG8mllIXk7rwtSI55/fDU5qMUWlxZOaycDqQ3Q3CPniMkvh9Ju0YGaabsbnC8cjw6STPqbxS6xuh+429/pPYoAoqAIqAIKAKKQJojECJiHCv7lZBbpGqKtJizHPrx3/1v10Bv356v/AJGEQbS2ENvv+QOejad+vXjdtkd/2TtUQQUAUVAEfAhYNOGibQvXFrB5VtmCncg1vrsqkrYxQ8+XQyXNYVPMklbh3HyV1lkL5KdirEvbYCVbFxTdNFslnqMMDbU+rMdPSB2RCnHkFyYblAG0MwKbNR29iMwCxxK4U5wwx8HaWigpJDCjABIjrMnC1gyjsl3DkRGnFY8lK+J5I7yNPGIMZ0T1oh29vIWQWvLi5FRfZS6ncKy2kwg+9njkoFwpIF7g3VE20kMrxYnpQEZiBjSZiMl6xyqXFZgSKpcJv6aUTqAfWLSHbgH7VQEFAFFQBFQBBQBRcAg0DfQG0gA0smQCTuZxsToJE9mh2M1ty2vpK+9s6e+aUFk2u4v3h1r2YG+vpyPXg+juOF9V0kMhRYpz0hP6YNzYs3SfkVAEVAEFIFABBIhFU0M1OJFXMsqApeaop03bIqKdtFTac1zHLgFZF2Lytp3qO2LB5oYH8VABNB2HnFEX1x20UWZBCcmya2o0cwy5JMSDMFIPMmtpKmylBBK248MJ4DMnOPHqe44WBwvHg9pTUquJnq81ZVOfT8uGDwnPbmy/SS5KXEk8VOFIvwLfOfFWpoU6VjGKKC20c1WPsm9nQz6PG62ZwzHRQRrp07zN2exKUc6678R6d1GDAnahq50262wgiSbQ13KszDvHBQ3PR6dpH9x3mq2R7/470Cem336g7VHEVAEFAFFQBFQBBQBGwE4QBhFUpW5aPDRHj35diCHmWLyxejcdYsip++77jfVczKgCuuW54Tg1tvUujxyrh1W8c9FfMS9pevlmpCJOqQIKAKKgCLgQSBBkxcRLsIuXrys4rubaj2LTN2Pv8ttgF18wyP5sA0hp0AhdtozJUTK9Y4nCn+b2zBM6hQyOV2HJGuV0n9C2lDBz49EbmM3o8TYDExe0zHYLU/dPFRz6NYI3hTjSUk2KzX3HGZnqv0HJWWoRc4ol3CMQjMGqhPjnhIohGRD22kHQ8RxC3GItvulvaXOIYQDraVNMDUYicGc2vRMYgMyL7/lmCdPXwp7wjkHbkzeFrCFvu7scxxeQBj5ImJFvtnRNMJYCl9tZzeTFc6pPTpJ//pAR0lMKEq2RLyf3fVP0R5FQBFQBBQBRUARUAQmBoEJ0ElOzEFC7nJChXhq3vf+uDDy4bhlEjGYhlHMOv1as2bOx75Nz5ZzbzQ92lAEFAFFQBGIi8BfDjQbgWKshhEuwi5+elnF3/Oa4i47JQLmFLcKYTi7qDVkwwjq3vhoPpEfmVd6xwt1KB7FDubchWXI80ImpvmQ2I5AsFB0sak7wKUXmguGhwBSXD1Y9QXVPIEug/kh3q+7Q2OGXTVDgRUFPYsn4UdJSWb//ktoRqSMo9h2bZejuIMr88yFAaN/a5233ChhICkPJdBa2qxDbjUrJLMpj5B7kqFvtm0aQh6GKzAlu9kQ4/xBQYyqbZ2kWdBukPUvikp5mjikNwWpKO0p2lYEFAFFQBFQBBQBRWAiERhvneREniXwXuUPL4QhhF3kKz4vgTGms6+tA70ikaYSI43FkbPoqZyx3IRpQxFQBBQBRSAcAbxLYvGK0u9hFz+zvDLaMUwNFb5+0o4ihEO4CG2IFjHuJknX/fmOI8Y1l5KDd26rZy5MY/nRAGFe3AXTISCn1hG5+YsumrNnuWzh2iov/WUC/I3mbse2A+bHM7TDzcK2xWaegGT+SGa0MFEhXyH9wtmwWAeEDfPTgCT5cq9AMhb5KEOB1tLmFvIUIJCDaGATNckNdIaYCrX0BDDb5C8L1OY72r9Xf3ZzeZuTuU/etD84sEdMjuRGfIVyxIk7MFI7FQFFQBFQBBQBRUARUATGHAEprghJWLdic9zFcXVxIlduMZHF982kZ91bPm96tKEIKAKKgCIQF4EQEaNhFxEuXrL8ZdjFf6SEfJFaahhGwxB+d1M0Lj6xAh46+AornP5MieZKx4IIG99YCcvRjl7hXmz6izRVyKtAuaPcAmUjsxAr2nds7nESfvExmaJm0yHyRYFIvpJDbZ961G2eiCzY3usl3yAMkZsy6slP99yLJGJiPCnJnhjPR1bufnVgdInenqVO/iM7EQRoxFoNaxhi7OxmhIj0wAbHmuLpF5ko1Df56dQOhY8NZDs9s/SjIqAIKAKKgCKgCCgCikCiCPT3Nz6/u+jXj5f99bnaJdlGfyjTXRXimZCEe67+edwFc6/5FZHlDy0YihwYyL/roZ4jzUM92lIEFAFFQBFIAAF/JcZBatEtumjYxZuy6xJYbGqE3L+3EfPomPzX8ePQVrhdxCQg3FNek3kYjvHxgpapceak2SV006rKDpvAgeySjFRhfmBj4Haoj+fBX7yPNwxXkUnedCyz4KQ5dMyNyJET+RpziREOiDkyCtLW4QK/ynaH9Y1Vt1BuAscrye8JOinzLYTRDGJC+8lCL49wy2Mcvs6t58nGAtelGKPslvdNAqAiJXM8xPjGs9SyCkcmavhzz5sswWgpyUn3vuWehfSjIqAIKAKKgCKgCCgCioAPgeiz6zPe+FlYQes6FS4R52gTW/zbJxhdGJnWUVRpOgMbuV//JZElf3g6cFQ7FQFFQBFQBEaEgNExQi0a4aIUXRTt4kMHh35WB64ch4wLnDOpnYG/8rMjWMfbNtf9p5tA/drpL52zoAwXksCdbq7tgmC8bEWc/8MKnJvOnYUtTh4uJiPCIPLmiMUJOKP1QhqHSbHwORBTsEDC6hAmxjFFlrdIpauEhPIKUaMlOdTCZSXydawOAp0LSSt3JCfaLCve0BigmB5/g4KZTEw8U1g8xKleiHcMcj5DIyMITJys82/jJHuinb3yglHPUxyfzYLQ2otdOpSXyvyIoKwipw63gjIr0EC1SDxyULvTbiPThRIXqpZIEqgxUjd21XakthUBRUARUAQUAUVAEVAEPAgcvP3PLq94KqnN5DIX/PyR7Z++XeooLoucU7Nw42B8f//GD1xN5LYLb/Ws4Pm4/q1fIKyzpNrTrx8VAUVAEVAERocA9RihGb+9sRa36ItcPxe0izdm15IWHavuIjK/e3YeOeO5krc8XkBJwy+uqZpb3DqJvMHoDu6Z9XVXl/j66S+dt6h82txB8+iPLyjbWd/tidxxpBuC8dIVL3v69WMIAuTJLnINWWBUJIzqgnAsCOfsFFraVLGD0mGI9GckZ5K9i8G04RKhHMWtAyOekDsm+RAHTPAa24NAgm2p7eBbWJYNt5Y2txb1o9+XxwTYDXGZ4ZHZljHcSEyoV1cdDZEQ2+uMRxt1oryHfKUiK3nfmESTrs7LJknr0KHmvpnue5h4GUwspHmm+xq9PzFkQcmeJgDelcKhlCEVppFar9Cb5qbaUAQUAUVAEVAEFAFFYIoiICYyB+qyuP5f4+7GzsNjeJCSB56CDFwVuaj9UJm9bGdpNPvM6xhaHDmzeXueDLXuLVwUOY3Ogrv/aQfb7aasvQsip2a++8t2p7YVAUVAEVAEJhIBpGXvfKIQhs1znfZMSV6oCGoiNznSe0FkcZw3PZqfUzNILzR0v3r3jnqMpF83/aVf7DzSY1ncXP98lODrnh/8f0yIrxEVphvp3lIjnkp06LUQK/ae0LwK3YSsMfCAqBzzmrrRvwkLZ+vrkJ/RyWpGaRa4QpJ3yrkS+TquB8l1raXDX2DSotknbFigzbd/e/ubnEqGexqGmDoTQwo8Q+gbTc/EN3gDeYX4lodUZDNIatEkw7jCNPLR0IkIPmU0wVxm3mshDCko6j8UrKOsVtLWY2DkBWYnbICh8AKY/gW1RxFQBBQBRUARUAQUgeRBgOovMIr7ajLN9WLNBq7ihj0Mnfw+u6MN8Idr/u3iWGrD3Vf+FDpxZeT8ropaud2hH/2NHihEtI7HfSaFrbkFiB7xm66Zt+Hkt6crKAKKgCKgCIwCAdyT3zuzCHrtPTMLf5fbQLlC1Eqomz46v5TOt84oONQ8JUVll6+qZP8wih5MUBZdlVHN0FnzSmEhIAQeOfTKa/75EjnUhpMhXRdmcnGMfGrPgun8kf9jR8ZmEIAhhFfh/TE9/ka+m1WNXtEktOLljdtLChAyiZq8jMRu2w9g3B6ExzgvNx0L4MTMXGHeEPuZnvDG7gaHqQssj9nR5zitkAJvVuDbh2+lQFLOxIxTA6KPvw4YmlqOyU8zfqxxR+GxbcOX8G1I2j5vtT9MEszRTAZWsKRgI5h4JkJXmo35F9QeRUARUAQUAUVAEVAEkgqBQHbxxZrn99c+X9yUO+qt9nd2Ff7qsYHevtK/PANbWL92W6ylBo71iiX0tosG06LpWffmy12O8ZSsadfgC9PX1sF0xI0HbnpgeeTjsIvRZ9bFWlD7FQFFQBFQBMYbgTu31cO2vW9WkSenj1+Hb86uZehDc4pD7IDHe3ujXv8Ti8vY/LIYJCHk4ftnO7SqVGikQYa4uRfECz2nzCk2PdpIBIEcV8xmSxM9syB/RBKGC4kZIoMVNobkVtNjN6CMGo71Fbb0YPt7QilpjydRmx1ykLiXEdRN1tZ5CvNKHUbXzncO34x4hZMIHGigLM4vnX2DVHNZm2MxQxHO8DUnYBTvG6n2CbXI7YQAhzZM8NYizpS59hS48eWu84vnZ6Ydw/EBAShMJ8peakImfnczURuKgCKgCCgCioAioAhMMAJkRhvhottwtIvCLu6v3XSgNqupK+rZUm9DS/XstXnf/9P+794P3Vfx6FKPGbTE77riLhjC/P95GLtnBIcDfWF/E+8sj7pp0dNMDrWbBD2NFZgrTCO8ojRWRM5T7aLnoehHRUARUAQmGAHyoCHT/rS/2X9f+BwR+/14m1cH6A9Otp4vraniXNMPvRJrYwjnHj74CjFcV2dU2+IiSa8+d+GwYiCx1tF+g4BU6oNCJBfVdJoGr1Om60him0cjtIOHIbPVMFeEoQqDjYGiobifJL0SwwVBZMLMsknViCtiJGDSNyxCvliMbqztIUrkEVA/0yNNhAGmn6qDZqKU4tyZsDzSTBynBrnScKrN3U5+NC+nkc6G3440asl09r/M4m3E2xhSeVLcYSgIYO4itjgYW0sPW/KZq5tYbSgCioAioAgoAoqAIjCZCAyXL3rZRQjG0qYXzf7aDpRsu/g2MpeF6LO+TiPNuau6zkTSaM8vXxQ5Y1Hk9M3n3pB1+rX2UGA796v3sCDrmNF9199HD8bTtYs2wVJu+eTNxJQ/vLC/e0qm3ZlzaUMRUAQUgRRAQNxPSFkNPAt1C7F9oW7hlBPerK7sgDn8yLxSfpEPPBpUFaY2xGABA9lox2BwQ/9nV6mp9BAqyPPWVrbPo8CdW+MOv491Ve3lbd7/H8fwBRoHpRbGLrbgELEcdsMMcdkMlaEcsfd1GMVKx5tDwviKZA5aZk9DN5wVz2so93VoX8nV4swhHCNDw0CZpL2L+g5vlBHdn6cp9TPhEotbhz13yDSKNJrVGOXZ8dRMTzI0cHamBGjiRWWFJsUUxr958ceR9xNMqLU47MeHO4HbEUBVUpkOl8jHla7/0f7GbnGloYcGRSr8t9AeRUARUAQUAUVAEVAEJhEBZIpGwSilF1+sJTl6k8gX8+qy8xu2sj30hwdufGBBxJEUroh8YsdlPyz85b+QL+L1vP7tVyx0+ym0eOjHf+8/OvRX18J7HhUSclXkwrhnbHuxmGBkiiayr70TXxg6D97xF9OpDUVAEVAEFIEJRuCxghaynj03vWBpOWTa3/OaPP3mI7nDBHw/p8b0TJUGpi3sHBGmX/aG1u5TS5yDnzqnGBLVc6J/5DnKxmsyx9IlzXOLKfTRIc3c4orPIjU8cc0vaV2AHqy0NdNHmkGYSE1FSEhIRfJMkSzCpchlW/pKjTszZBqQivCT/qc2VUCDm/LQjHykMxn2z9Ok9OjKoLqC/u1RX9HTifqRd4AnxZONRd0XuWU2cVj2zLU/ete1x5KjLb7nnMWzHSCBA+cNp5oottHy0sITUqBSKj1KPOAwxJssH/Nc4h0KXdK0IWn5noI/J0b4dgoLwNN67qUfFQFFQBFQBBQBRUARsBHo6e8qbX7xUP1mYf9o8JFOO2ZM2hbB6JMv1mVDML5Uv5Wc6OwzvgnRR7Zy0b2P93d5/+3XsuPghvdfJVwiJRONwhBaMvNdX5b+3qbWOBseGFgcOYtgijeayLplOfRQcbF1T4HpTPNGV2Vd3vf+uP3i27NOvYaLBh/pTHNY9PiKgCIwTgjcv7cR0ozLU5bwvtwGOj+9rCLWfVEiEfCx+aWxApK2H12RJErjX/Ov/BYpmAYJ8ExJGz0c6h1PFCKc8+//17scTG7brD+QHWw8XJlwjCJlhCGBRVzvS/uFxYIwIdMc4gXVFl4baB2ZSDDKLgEcRRy6WSFhIKPg30iXxtCcHpuE9D8d6WEVmJnGY30n1osVqP0BCCSYJgw5zDOyFaesRUVWYclQQnqG5E6SQYxOL+DGblddZy+pyuRc2xrXWMGT0o8ttShp/SQqm+cV3RAdZA6hwXlp5U2mf3lFG2LOlp4+8XnZeCJsVWUHo1x8U1ABwPCr4pGEL487N1hGPikI6E0VAUVAEVAEFAFFINkQgEg8UJdlhIWmQeeYc4xWirRLMLryRTKjD7jsYl5dTsmRXGEXUSoG1locRG9goPTBOYgY4QO3f+YHxvoZ7lH0jRRjjItz5rsdNrL94LDfRndf8RM6N7z3yuP9+ifa4xCJm8/+rlCL9lc6lWOM+4JpgCKgCIwUATL1MEqGNEPOxy+z9vSClh76GS2JobBCxcQoWdLDptlLJHf7b3lNZHlzRi7ToM2JkHIF7h1qkYBf7R6yfQkMszsbu1/9/OrKQLrSDpty7RDjEjhGR8focowIDsOPVuCq2mwDX6kECFVlv1eSl2oSSwPXhChGOSY2JdAy8JYQmFA6gcHaeTIIiHLVLyWFf5OEdzhGf9K3PGucrANvDScpRj+8WgRAx5FiHBg5iZ1STZSCk/49SAI4ttqeIWhDOikOIESiNBAuEkYRSOmEObffdrOCWKvvcylZCEz4dthXrKZGmsZuFqQReCM7QNuKgCKgCCgCioAiMLUQKG3ea0hFT4OhsT2LMXnxeLugXYRdPFS3effN98LvUQiRhOW4t8bZWSo0kj1tgtHXsQLqx95XAv7FZcJorIycT2TXy8Py6dBPkpRNf9GvH7eD07Odd8uDNq9otxlKT0z01IqAIjB+CFy/MQpjds6Csp6gv/Bc6GZJ3xXDyYXfjoWcrJmyGXxwqgtK22Aa8Xx5vKDl9dMdQhWGKhbgJEcDl502ju4R4+mfbK+/aGkFAkjPRGROknBNvrlnaKp/9MgXhSeRr0bKiI6ReozhJ4UVZBaRwplQ9FLSqD3kUo0rD+OmgashSd1aN6gEQzOWU9MJDyMWxjxNnKYDZ2nnqBGQao1+lxMWRAO5rsrJfPcTiUKX+c2XmUUpziXljmxVZkFd0kbjOuodjtNElLHyuvqJawzQGeI9DLw1ZUKjnf0w3pL+LEnTEIZM4Y2NJRyVVGt+wIoRDMFyJZjJ7t8J2daIh5FW+oe0RxFQBBQBRUARUASmKAJW2nKmh2AkV3rMD+WKGE1+tOMcLfLFQ3U5RYeyMGohQ5kCiQnelxxqyECuqidXyhRSqjNedyk9e678WcgiyCOJcZSKvv+qZq5iCHlkR2GFbzC9OrYEyReFZiRXOr2w0NMqAorAOCOAlOVdTzoZwXOKg2tc0M8oMYH0I4QAo++dWTTO25yg5T+3qpLj/HBLWPrzZSucGBSM2Ex/c8Nh6jTy0b6eLGyxtwtvyei7ZxaWtSWdFsve5yjahusIbNgcY9zFYZyw5RWR53bXknjTiQRSM1cYJ7gR02MapJUKD7Osol2y3c0QlI6I4jzmIyZAG6NDQJyj/XUIZTUpoQnN6Fmc7HjeFhEo2kNkx8OYMZR7InsayZ9EshSSSCg4yEYKFaLisydOSluobN5w0pzt4orCPdpO6IHbQyfOWyoyQt5YjgkzGRgp7zxKYOhcInce6UIPjJSX2hS2qpy1nMzrzl6/ZNS/rHx/iSTSP6o9ioAioAgoAoqAIjAVEfCQip6PY36ivoFeOEZHwXgiP1rki6XN+w/c9iDM3vZLfzCim+664i5mrX/bF8yshvW7RNlYfN9M0zmsMTCw7aJbmZX7jV/XrcjhaszKbTtY2nOicuPW829hNPvM64bNSr8PtmTR304/PPTEioAiMI4IoGMRcgweJvA28IrCQOKe7Angt1o0e0xPGceTsxeUcRxsXDwnhQo41Nwzo6Dlpuzat84YTKkW3PhKbvXFyyoQeeLOEGio/Zs9DTuOBOeEem40tT5CjIRfhmNM5FxIPZF4UWuRNalxF5h7K7cbqlJ3Yl3SSxkipdpUcTwx4vwvOls4RghMsnftfm2fDALoS8GcbN9AEaMQjKbMoLmRJL97ygXwXMR8Gf5QIukRFavI9jKqjsIximaSmyZu92zuO+YNJIVk6/OGU3bSLA6/hzqRt1fKJ5r+WI1aV5QbmG0tU6TuKEemgEAgecgPYchGAszFdwGp5YHfCKzJN4Dw7YEVMmPtU/sVAUVAEVAEFAFFIMkR8DCKno/jtHlypYsbciUturTpxaZuJ09ZrFtqFm4c0U07y6OIHuEDsWgxE3O//kt68KE++IO/Dhzz/jV21+fvZHT9W79QNTujZsHGmgUbovM31MzbULckS1SLFBhcGvkYV3t+quWRGYgSafhJRbsnkRU0RhFQBBSBBBHgt2OhyELiSf4lBi7RE3NLTg39r53+Er/+e4am6MfM6s43POLINWG38I+G0PjFziOXrnjZTyqeNa8UshHrbRiAWKwVqb5TFIcEt204jZCGcIwJLkgYGjCK+8GZBE5BysW9yKW1RyXDmn7ISbvfbksiKm4ydqe2TxIBob/QFnr+PMF3BH4lPBECPLeAG6S/xLJPIhhXFDrtqqdiNk0nGkjbrrq5+1WhIu2KnZ5bTORHP2UtDCoZ+oHbwN5lcVkbQkT50SDEOC9nYDCdYAsIsVYDOuhEAliTbxmwJf/6RFmAVvx0Apfl2yfWUGC8dioCioAioAgoAopA8iMwwSnSsQDBA3pR5DR4v1G4h4iIMecj15vF+1rbV0Y+5XKMp6x7y+eLfz+rbuWW5u15B2//s5ReRPFYPQd20aUWn9sQfS4z+ux653pmfVOOU3mybnlOV3VYbpq5Vwo3NEU6hR+uHk0RSEIE3jerCJ4wP3aROnJLCeDyyPPE7oRMYc+hsIYZ7hXjGU/qjxtrOjFkOcWX+Dxtbsm3nj9MvvPrpjtQxK05CTPw/tlFsYiypIYg4c3BbCRywTEmvORgYB9axqD/xG8XlsYeXO2W+2MnSLMo8Rc4U1JNR8RKxdiCfWdtH8epBOEu4MMoQnDBHJIELRwg3Jf/5wD1FQk2vj+ADHtGD2pA+8HJM82sPupfAaWr8MzJkCvtfwM4hZB+bN7DhFefyNaXDHGKLp4QEw4jzM2aWMOADMrbE+nUZmSwQZozAdzIFjeyAeCVlZNB6undtH5WBBQBRUARUAQUgXFAYCJNXkK2j6uL8IE9dU0hYYFD1GyUubYlNIpE6XSFkdOkzdfFkdO3XnBL9Zy1DrsIr/jcIK+IZUz1XK4MiMe2Q2WBN0q3zrzvqclLuj1zPa8iMJkIXO4WHnw0f1jlQM+Gzl3o5A4/NJxLRKH3yCEvuwjfiAXzPTtHYLLsudekf9x+pBsR45sezcfg5u7t9dSZRM0ou4IxEa51sIBajL3ubuj+r8fyibx7R32MkFToDjF5gfcwVyxbllFAsMklo2whIhXwuBF0LoXpRLtFpT6/wS4Zo4RRpzHxm3IvlGY2dZP43LSKRGFIarMwWuahZ0Y7A9OERfRYcXRQSioSPpdIHOIXYQ5ZB146cAWwhSgmAJou2tlLrU6ykmHhIJ8h3JLhefGDUYo0Qr3m1HbCqZKzLCpNts0PB3k9xBEGNjLW2yJVKE28P0y43ECU6AQTNmD/pILSHELZv5z2KAKKgCKgCCgCisCURaCnvytQxEgnQxN2LDSHwgGKgHCk910VuYDp5Q8vtCdSzpHOTR/6Wvuhsorpiwru/uehux6qnrWqduEm2MUaYRefWV8NtTgnIzpnbfXsjOrZfF1b89z6noaw33Dtu6RwGzXplnNuyJr2DTszmjbKxlEITVMYKD2aIqAIjAkCSI+gws58ttQvFjLr/3ibkyV9dUa16fE3Grtf/fLaKuHfrt1w2B8whXoQvAWiUX60lwNSdDHkLGTsvmem45sDXKn96zwMjyGUQhpQfyFwjWgIIosbwauYWcLkSA+PbH9jN7wKMVT/s6s4dvQ6lsSxUk3NaqYBRUk8pBl6OdOpjRAEoK4ge3n5ufz2ymaiiO7E0wTaDZAzqo/aJBiRwh9Cr5lZnsYW1wZI0oeZTooxPJ64pVATkg144iflIzQpBSShSTmjXNRatKlvOWagoTYbBk/OwkR0jKPbP+nSTLe/+9CXsqY6qo8OT52lCCgCioAioAgkOQIQiegY8YyWAow0+DiR7KLgsyxyDnxg5Yzlo4Ara9o1zN1/w+/tuYghl0c+Tn/JA0/R355fVrs4q3bRJso8om90CMZn1kVdySKCxqrZa6ueWu1cs1Zxte4ttJdK2zZEIjpGPKOFY6SRd8uDyi6m7fugB1cExhuBz7oiRr+5ibkvukQYswuWxiyQuzHaKanWKPcwQzETU6yxs74bHP776eJY54LUOuO5EmLOW1Se8jUYASGuiHEM5YvcThJs91jUk5hH2yIuPEeEuoFdQf0lDCGiRz7aE/1P0NBcCL2EvCLh2h+mPSeDgBTDpGYjhRR4Iuj3PBQu3zVCygV6x8itYeqYC5Mc7RjiEiGC4ZnpxGOFSp4ns8kxnMu7xGZQWtqVJFmfl02Y8FjHZApn5D0c9WbE5tumW7G3Zk3b+NtfQ3LUt9OJioAioAgoAoqAIqAIgEDWh78BGXjwjr+MAg0pw7j3m/d65lY8upQ1l0Y+0lkaRRsJu1gLuyjyRSoukhM9x1UtOrzimqqZDrXofJ25qn7tVs9S+lERUAQUAUVgvBEgbxGvlrfNKCiJITYj1RfS7JwFAYUskI3hhPIat0jj2fNL4Q3Ge7eTuP7qyo5YOLArHLcvWf4yAafOKTZZ1ZO42wm4NRmpIRwjQ2Obsko5UBgS+ENzNHEW9t8FNR3aNoJRIaK03BR1kmpN6T8z3W6gN4MnhyKGpyKYVOtA8SLOvyT2xnLptRfUth+BXNfyWJSosGedPqGwcMh4RvvnSk+D6zPOA7LVgCYYTpghrGFMT3I2EBayT165WNsT/SFoxAqgnxqPvOd8DaxZKqUgscWRFYCaO0Le2owuOBM2apFkyN50SBFQBBQBRUARUATSE4GSPzwNGbgi8sn+7hH/Vrjv+vuYu/87v/NDt/ns7zLEV3xbHO0i7OK8Da6fy7roELt4glp8cmWVe6Fs9C+lPYqAIqAIKALjjcDv9zbCjKHNsxUvclMKD572jKPK++EWrwlXWVvv+UvKGZJRGLbU/u/p4lZOetmKysBjXvf8YUbf8UShnYSI0yu1K2/MjpI2/nhBi523G7jIVOyELfHQjHy0czPH6lAIrpDAUbLPLCh+H4Ac+B97kMKMUCs0YkQ5UyG6JPGWSJGWBfJXRIqDid8fOXAD2ulBANsjEJbH4fFAIZK8YMl09thS24sI8xYr2x32jMVhle0p5GJXW1pHe2iy2vyY5XukyHLTtnfC20hhSQ5iS3PtADhz4Q8FTL7C1vIC85MHthAuUWpdsoj51hDq1WZuwUrEosRTQwD2Hj6TLRlO0r6jthUBRUARUAQUAUVAEUgEgf7OLsloLv3jnETi7Zj17/giLGLZX5+zO6WNdhEFI6MHbv7DYGa04xbtJkdTcfGp1VRldFSL8IpPrHAul2BE2ehfSnsUAUVAEVAEJgCB21+ogx+jwCC50ubXUn7fxFWZ/tdPf2nHkWFymmdK2t46o4AhLFFwWJiAHU76Lf56oJnzfj0zoMLkL3cfYQiDm821Q7Xjqjv6P3WCgGWU682P5Xu8cib9UFNuA7Z6EPdh2JVYZCBHg6uBX4IzjFXszj4+ejApfMeagYbUSHwZgqv0Ke/sZbQdE4HtbmHARWVtgXUa8akXrizWfB79PNe0OhZRT+oxK5AlbchkIulBjxprzSTsh35kz0hwA/dW4Ko0CaDQKIpQjLyR1JL+bF5dhuSCcjQrSDEB++9H/GwnDLqeSgJmijSwzlGa0UCnDUVAEVAEFAFFQBEYEQIHf/BXmMA1//Hpgb4RVK2hJCCzuNrySgJvRw1GRpdFPlb56NJB7aJJjp61epBdNASjSzPWr9oSuFTKdGJ80/zC/oaM7XxNmUPpQRQBRSA1EOBX8us3Rg0PhnO0mEfTQwb07KJWc0w0jd/JGoyEY/zNnoZ/5bfEUuOYWSnQwB0bNG7b7FVyUnZSUIL9sI/5lYxq+smYXlnZAcE1/dArH5pTTM9VGdWGwrXjtT1SBISKsZOmA1eg0p0psRgYIJ2QKkKwDBpSV7bbUjr0k8LhINwNWUSHYiEADwz1t6CsrbEr+F+bpKiDv23i41mKbyICSHj39JuP3IIAO/VYvJiR/DV1v4rFDNQZF7xcTWfyPkR0hpyCPZtzmQY/N6BnGUXKazpNAy0ixRvhaeUFru4c1JQLywrydjI1Tt+sw48s1I+UtkAtCeuL/46Q9gylw490A502FAFFQBFQBBQBRWCsEOiuaVwUOQMyMPeaXyW+JopHpmz876/GnDIwgJc0MZumfd3VLtqlF5EvumnRIl888bU1N8yaM+aNpsJA3bKczHd+CTTMte5Nnyu+f1bvK8N+G50KRxnLPbp2Nn8cZmfzvT+qnc1YQqxrKQIjRGBxebvYtcCDyYVAcW7xELvI7+aSMc0olRsJnjbXSaDmolRjavNmt26u4Zi/2n3EBhUbbuSd9D+4r9HuR75IJ9ysXZeyrXfgc66lzvdyauxgbY8OAVhxKcMYyLc0HetD7mXEbHFvsSHqlG3cecTRSJJkiu7RJrvEATkj6ev7xT3mhAXYOk+oP7gsIK2LYYssJBgBdpFAz1blWYcIVsXZxJQuhBOGVYPVROPHk+WSFGxpw+PZaljPvSbrI0y4yVz274FXms2Hm79ApRIDD2nefMmYxnLdLAjlLiBAxvoBrzjqiBvZBkuZKdpQBBQBRUARUAQUAUUgQQSkEiPcV9FvZiQypau6bkXkE8RTXzEkvu1ACdRlzlnfis5ebYxdhpKjh8sXq2ev7WlITe/Rwl89tiAyDbiyTrs296v3HLjxgY0fuFp6VkUuaNn5UgiGKTwEkUiVTnHKtr/SqRxjCj93PVryI4CR64Zo5/17G2HMlpXj0zG05b8caH7DI/nwZu+eWcgoUkYZQ9OFro/+S1e83Ji6v5OilztzXunf85oMIvubjpFUzsG/7yMMDzX30M+oCZYGoLEIQ9k1QwmMnhj9mDgCyK5E00VCaHP3oDQOlgYBGGwVPMn+IK2Xf320WwRTvs/wLTj/4gIskRQMlORc0qj9c7XHjwDo8Vz4BuG7RpJw55e2oa/zR0qPlGeEIYwVIOpEOMZYATw4eeImgRrHZKHReKyFLccQ+DEXSyCcesRqHElqzQmZX6xlJ76fly1WCVOh/mDCQ3Ylok14chMDIQkONviiBeUB+Q2SZJbUugx5HGZxbSgCioAioAgoAoqAIuBHgGKJrrhuGhUR/aN2T3e0YcN7ryR4z1d+YfcHtjvLo22HyiAPncuUXgySL8ZKtQ5cdgp1iqf2qshFtYuz7G1TpjL7jG8C4+LImelZfDLvlgdtXtFuM2RjpW1FQBGYdATQHV3uSu9gxr71/GGUeP4tPeA6xXxxTZV/KGV64C7yXhlMXUSj+P7ZRQByxZoqv3QTYhZjbkZhGj3Hn+OaxWAK4+nXj6NDAIsK6tEJlQSXgv+FeGTQk6AbC0SikDCBeansSvgou6jd6LaayCzIJSrjwYlx0YjFNSWy1CTGNB7rk0RdeS6Ly9owgA7Zj4gPY2VPM1GswENqaYr9N3nW5i6rq5y3AhoN4Z/pNA3oR0R6S8rN30nMSPI2wIcTIcv0/8CRTfMDSgSQhgnH9oUpUKknyHInUDxiIF1jHbXErdAYzmTGmqv9ioAioAgoAoqAIqAI4N63/dIfuBzjKdsuurWrojYQk/o121ZGzics6/RrB47F/Eu0Z27Dxt1ednG4fLFh/Q7PlNT42FPfBH+4KHJa674i/4n6j3ZBPALmjst+6B9N+Z4tQfJFoRlJmk754+sBFYEphABpoe+ZWQhXhh4PJ+WQnV+0tIKw7cPtYELip+4QFOtH5ztCxHMWlBmGgupnNvMqvjn4R3uOSXEzJn5kXqmnXz+eDAIwWniIQKRAv0DNbT/SFcJWeW4k3BRWIAG8+fHjtZ0ORYM6DlWeZ+LYfkROBqPIvTwXnbGUZmO7gbFdDdqWIpZwvLgbk60cd/HOvpgJuYj63EcwpC/1ryYUMd+DMlTX6UhSuQzV5p+CzI+AvKaAeob+4CTpEW4QhaF/P2g4SXnmRLbOU6ShfDXxCH2J4XvECHTNkGmUH3XQo06j6dGGIqAIKAKKgCKgCKQtAtG563Z9/s4N77tq28W3Hfrx3+uW5yQCRX93z47P/Vg4RjygmVjzXGbbi8X9Xd09dU1IELPP+paM7r323oHegD8Hh9yl7WBp9dx1g6UXLXaRZVNVuwgaBT+bDmIHb/+zHxn8u7PPvI5ReN3j/U7KFT3+sBTusSWL/nYKH1yPpghMIQSgy+7aVg8bxoXnCy664ZvnF1siv7w2lUWMggB6KjyjPzi72E6xxHGbJPHWEyQjFcze+YRDzHpctnNquujEYDocTB2dGAQoxAcnCZ1iTDE8911d6WSYUscPPgp6B2aGrxQjhfXyRJ7kx0B2kVs7VE8MT+GTvONUmQ7agBDIqskRYDIJWFY+pNMT0SlfQ84ohR8hpUNikm2It06koWurjlKbgiNAe/O1uLWHg8jbQma6bBvVonSiYzQHkWqisPGmx98QwIn0D2mPIqAIKAKKgCKgCKQPApQ9zHzXl4UGtL9uu/BWSMJEcGja/OKmUxxzFus61bTXv/ULNfM2JLKOP4YSi9i41K/ZIhnTeEbzMVXrLsrxd1/xE6BrWL/Lg4bDLrr50Ts++yNhF4F93ZsvT1wU6llwKn70k4p2z1Q8ke5ZEUgxBPiNVYykcSq5e3v9Cdos7JQ767uhzj42Py20eZtru+yETfJnOTu22s09Q7wThfvoxCjH5iG/sLqKzju31YdBqWMThYA4gJBkHXhDvguEtOErlM6W2g6YGWF4SMSmwGDgrFF0kgptbhTYmKK50qOAwjMF72NIXTAJSbIW52Vj70IhWckUhnnzrOb5KAU8PZ18pChEeVsPTx9lrH90cnuoCcBLKwc0rwofEYuiNqfHpIRTd5GPaDvtDUPD0oku1+70tFdXOaR6LMrdE6wfFQFFQBFQBBQBRSAlEYDIQnkIo4UornZJdl9bR/uhMmoArn3tZ+hcHjm3MXN3ggenKuDW829ZFblwUeR01lz7fy7ZfeVPEUaSSZ3gChoGAlvOvRHkO4qHiXnIjCbBnH70osIuErn53BvoKf/H/PTBTVOk0+dZ60knAAGMnq/fGL1gaYW5+LiiYsg2dBR7WFTmyBHfO7NofXWYCshemQRqpmAzbXemSfsXO49wdqy0Pee9ObuWfpSNpn9uSRsuOSnshmNOmvwN2GCIFIyGMYvx7xZSXQRgcDK4wNgBeI4I65VgmUd7bmA7RL7IDrnSVsQISUj2OuxuIG50tvcOOA+xpBVeUWJgGumBJYs1xfTL87Uz0BEeS6KxwM5XSEjEq+IRYyZ6GtGOXspI2n9c8ASM+UcOCwWa29i9p6ELt3RxxJZ3kvRwuR3O0ezffkUhTunBTTtkPwBOTEilx5C5OqQIKAKKgCKgCCgCqYFAd03jisgnIamKfz/Lc6KBvr6937yXIayfYxVX9EzRj2OCQNa0a4C9ftVWs5rDLp7msIu7Lr/TsIuMko1OJ0noJjLlG2rykvKPWA84MQi09r7qoRYNx0iDIQJGvZNH8l9pSNgVmgp1H3y6GDLtJ9u9JNuoNzCFJt7xguOj/X8PvuLZMzzAtLklDD1sDUFieML046QggI0FXAo2x4F3l2RSSJvWICEcPMwC16g6rkwucHFPpyzFZmJdbMMzJa0+GvLQf2p5TCYbmr+EQ6ABYyIZvgK7sHOsDIsomkY4RoxOUKjiQi5lDynCiS+M/+7Sk1XTyR0nvZxjTq2zDbZa3dGL8lNy/+33U/S6e0Nznzkyi6iFdKxnrf2KgCKgCCgCikA6IFD0mxkwVPu+9dtYhyUbl4AN778qrfJwY6ExMf35dz0E5jh0y+362juzPvwNeqiQabOLjCI3pR+l6MRsLBnu0lVZFyhipJOhZNih7kERmBIIXL+x1mYU/W04xgk4CIwZRQWh0bBOTk/27Fe7HQUjX/1or67sYAjVYgJOF/7Z2jNeCKBChEiBuMMdw38Pit2R4U5AzQk9mD9GXEJCagP6p8TqiUswEhBrbjr38z0llKCR7eHzwlPjiptUTioxYSsrh+R8m1zC2c+twTSKODDQeVk8aBwJZZANEHPtEojj+rB4j9nhBtcViPtyurWWjJNROYXJoQ7cjNjl2FUdAsO0UxFQBBQBRUARUARSGAFxDGnZlR94xsrHli+PfBwKC/lcV7WyN4EgjX1nR2EFmJOc3tvQ4rCLrqBx1xV3BWaa4ze9LHL22G8iiVeESETHiGe0VF+kwUdlF5P4ienWkg4BMqP9jKK/xzYVHY8zYFE6ba6jXaTYYCwx2HjcN6nW5Nf5101/CQ1nEMdw/JQ5Dj6UbUyqPaf5ZiQTNu+VYFlajqtJo+hiCErYHsHhoF4LiUlwSFOkEwTKE1bmPoLVVgL1xqij4uOKa0qV13SMMFhisyZUc37LscB6s5gvQyFC8xrzZWpCCjGNIJB1Al8Vw39OfC1HiFaSxDmOOZ0w6ggyTY+/waE4y+KyIbscf4z2KAKKgCKgCCgCikBqI4BpyMLIh5dFzvEfs7M8KvX9lkY+Wvqnuf4A7RlXBMTMBbeXTad+HbJx9xfvDmQXcedhdPPZ3x3XzejiioAikGIIxJUvCtk4riLGP+1vfsMj+bBnJAIXtcaxmU4x/D3H+fbGKDhQdNHTz8fzXXlnSB05/xTtGVcEevudwn1cpPb7b4QFBkPzS9sCR0081e0Iw9/H9Iy6oSYvo4MOAg23HZO8LPUDyRHGiOdQDOpYbgT1J3Yn0G4J3jrL1TeSfUw8ydTwjdyFeo8ioay3nJrNgsJ/hnN6Jni8G+KsDa0aciP+QsQrzd+MQmJ0SBFQBBQBRUARUARSGwGqLC6MTFscOWvYMQcGSv7wtNi+bD3vFlN9sXFTbuEv/zUsUj+cHAK9r7TVr9lW8r+zW3Yc9KzUWRqF+IU8dNjFL/00kF1kyr5v30cAK3im60dFQBFQBEIQ8IsVY/WELDLqIfwCPreqEkqN6/rno+1BRM2oF5+KE5E/XbjUyRP/Huo3Cw3MphE3YsY9IgKWWeHs1lSEKHn2bKRlSE/9u1pd6RTxM67E/gDpkep8cVNxY0339IeIGNPW4cUDUeBHBIfUG5QhmDEeHDnOyErDaT2RL2ZUx/SO8d9LvKrxc2GIb3boZZR+3I4LkrM2KJV+nWvrPKJvfP99x6qHDVOdkoTuWAsCorjeTLzeMtaWtF8RUAQUAUVAEVAERo2AwwGe+DfSSBdZ828Xw1CRhysT2/JKNp3yNXowdql6cqVZDS+YBZFpGW+4zPRo4yQRqJi+CGoXqOXK+M/PNr+w316zZsFGGdr/nd9BBdtD0haHlw3vvVLLY/rB0R5FQBEIQSAWnejvD1lkdEOI8SgqCJn2lscLyNQe3SKpNwsb2YuXVQDLB2cX/3L3kWdK2h7c1/jWGQX0fOv5w4mft7Stl3zzjy8oU44xcdBGGol0DV4IdgizXZsQLm51Ep+hYiySOGDtalflCCFjcmZNED2UucMlhPxrCEzUkmYopIGXsc0xIpDjYid02jbHISuk+RDPS0pZNnb15Tc74tLyowHsMSjxxxHkqQQY2SEvAKbMpEtDUVLGkAqEnqfGMxXyza7YyXOVioUsxbWqsoOHbp4C1WjpxGnFs5QJSLZG1H2l7aKUybZD3Y8ioAgoAoqAIqAIJIhA+T/mw1OFaNha9xbm/8/DBT9/pOKfi/w8FQbEsFgVjy5lqODufy6KnMFHzER6jjR7NiDFGHub49gRdtc3NW05ULs8pz5jW9ML+9oOFA/0Bv87zbN++nwc6O3DDBqcQXvD+67KOv1adKTyEdbRxoFHJk9k439/tXZxlnF46W1q3XstBt/TUDl2llTbU6Zi+9AP/9ay86WpuHPdsyIwRRHwE4mxesbwgD39x+/cVo8eD9LsE4vLoMI8i7f2DswtaftdbsMNm6LfyYryizw9npgU/shRIRXhXcHHXNc9f9j2cg0/PrzEac84xtO3bq4Jj9TRk0SAh4Ijhu3zwqsqPBLJrSGL89dgkS8iNPWEka4rvKWQTkIx4WicGMt4HD0kjOLC0lYu9jZW8kjPJlPyozDDGW49RtBeXuFQiMj2PH+6hzwUdhFLZcGBcoVkVZvnJQ3YXR4Ezxc5H/TjTlcbCZ1oQ8cQwbw/2LgQwHO3DWK213UxOoXK0mJXxIbjCndtBLStCCgCioAioAgoAsmJANwg3BQZzVRN9OyQpOacj17PqLnWvfnyps0v2mHlDy9kFBXc+rdfQWNV5KLaJdl2gGmvfe1nCGjPLzU9ngYUZWPO3qpZK6tmrhz8SuPJldHnMjtLpzwJ5jnsyXzcd72T1wxn2J5fLut0H64Xt276i++baS8O87bmPz5NP9eKyHmUZMx855dwdeHjysinmrfm2cFTsV27aBNngWJFqGmUtFPxILpnRWAKIRCLTvT0X7i0YqwORa7fOQvK4L4gGH+244hH4oXc7oG9jW9/wlE22hdFGu/aVp9GJKObQQmJcff2+vv3No6o9KLJs4a8faqo9de7GqBqYS3SCr2xel0TXKfDShoVw4518TJn+UaAisE+yaYNeXZk5tLPRTptXlM3ojj4Jan1ByHZbt0owb1pWOII4GkC8oaSJRdYkIdy3N/UTT+2L+LsQ9iehkF2Eetn0T1ujB6Fe4RzRgBJJA9OOGR5oPLVwyfzjWkvBTvd2TeYgIzoVGjMxP+ykPhJxyOSH+ZCjLfqWzoe+OqaioAioAgoAorAhCOAxwcUzeZzbrDv3LzlAP7C9ENJHfrR33K/eo+wUmjeOooqTSRqulWRCwlbEDl133W/icnwDAzAYS6KnEZabicZ2b7/+nt661duhk6sX7XFoRMHBuAbqTHY9ML+6qdW09+8eZ9vUjp2kIQO2tC5IO85P0JT90GcUnz/LHsI1Wjxb5+ABJZRvqJZ3fvNe8lbt8OmaBun7D1X/1yOtipyQfSZdVP0ILptRWAKIZCIyQvs4rc3Bvy0H90xL1vhFF1836yizGqvcy7ql/e4SdMEfHJx2Y+31c8qbJ1R0HJjdvT9s4vovHbD4XRSMo4O4OPXZB423CxZ0u98ovD10x229oKl5XFdcUd5S512AgEoqXlu5iyCtBN9Af8LdyS+Hnb9RhhgSXCGlSID157GkGjDKO1oqgXaAdo+eQRIdobr47l4KF94Qsk0Nzwhye8kQZs74gXDEMUSPX8ukQBIY1xdiCeGdwM20kxkSHSPgYyc5GhviI6gxqNZeVIa5HHjmGMrMCdlG3pTRUARUAQUAUVAERgrBDAEEU+Wyn8tkzWhECmiuCLySVvhRqlGVHMwOeve8vn+o0PehSUPPEUnGdAdxVWxtkSuLjEbP3A1/JhJ1LWDG7Nyq55Y0bB+B8yi3U+7p6ElOjeD0dbcAs9QGn7Mu+1PqPViZQQX/uoxodqKfz+MYxSgOgorSHgnPzr1cGt8fjfyWjk71kJ+OW7qHVlPpAhMIgIUP/SIFf0fIRg9aX0ns2HKiX1jw+GGbq9NwObaLkkKPntBmaQo2nehMuEly1+GJfvSmpj/92THp20bUaiwi5evqsypGfz/d1gsMKefopeNPuTTFqvxODj/7iloORY3pzW30XESQQtn70Gkjysr2rte9f7zScLEwzdWVUB7KW2PAgG8vHkoPAX/XAjhiqM9iA/hEvlZ5AmQ50J6taff/igPF5bY7hRmEt2j3WnaVDJkP0hYqcqI/TQyZjhM1glkI80sbSgCioAioAgoAoqAIjCGCBiSsKeuiWWzTrsWgrH9UJnnFoyKXpEs3aGhgYFtF90Kt5Pxxs/6Sy8SRibvysj5VPyLPrt+aJbV6j/aCX9Ys3Cjv8ajRHW+XEMAV9fL6VsYqq+tAzS2X3IHfi4WeN4mVt3Cs4XU1fTOSYnPSDqpFCqyWySaRb9+PJDKTomz6iEUgclHIFzEGEu+CAfy+72N/8pvGZMDIHr5r8fyYcC+nnnYEvgMWxvt4mddy+lnS+JUAB42LZ0+PJL/irCLv9h5xH/uv+U1CcL+Ie2ZSAQgiEQRRyKtuW9dZy9sEtf+xm7fn2cHo7B9IQA6y8yK28ht6KY8YNwwDUBYKA8lxCI5Fkobo05WewjBiLSPKovEGEcYWUrsXQIfEKnWxLMlcu1pIGqFjpYEZDp5SVTIGutxaL8ioAgoAoqAIqAIjA6BYI5uYEDUiTsu+yEKNzRy+Xc9FLh+48Y9ZEPDFjZl7TUB/Z1dG97jZOBCS1bOWD7U39UNK+jau0zL/fo9XWXB9CDSR8Ja9+SbiXaD0erZawlo3nogbSmjll35YEvBTB7Qlk/cZOPjbxfe8+ggx/iHp/2jqd3D20KyvxyfRPKmnKG3NLUPrqdTBCYYAeiOEI6R5OhAwQzGB6+d/hLpt2NSH+xTS8rhvlDZ2cmJfhyQ5BF27kLvn8z8kWnYg//s69xUaAxiYh3/vEUOzn6BaKx47R8PBFCjQRl5MklFBSccF2xSTWcwKwglRV2+8G8Ts2fyrLkRSbimrJ8Z0oYHASe9tzm+9NQzSz5SKhOcSW8PHKVz+xFHG+mppEreNJ3UeAzkk6nAyShXTm2n/fiYRd1O+iEeAyfG2oP2KwKKgCKgCCgCioAiEAsB9IfZZ15Hnbq+1mFudBLfdqBkUeR0mJnSB+fwtaOgItY6lO8jgIzUgWND/5TtjjZsPneQ2EGvyI22XXirZF4jKiv/+zyqL5LHatak6KJpYxzjqBOr60yPNPCPxmiGIVKkuyoHR/s6h6WKeKak6sf8n0h9xWnZZ3xz3Zs+F/eYaPmEZONpxg1OsYD+7h5S8uFjXQROzb3mV3G9y1MMAT2OIjBhCPBLq4dm5COdIRv49sYobNXdO+pDYhIZynZpw3ckxlWeOa+Um2qerwdYEiclwfyOF7z//2tH3pJTA3q/zW2wO7U9kQhEXVoJKRq2wua+tJ8tbaUTkyM0h0IzQjG1+rJxxTSkPzFqCUYLJoq/BZgbaWM8EEDOLaTfziNdHu6XB0VZQqEKPRJH4ZnzfB7i7BArH5nCy+DfMFyoZE97/GL8kdqjCCgCioAioAgoAopAIgiQQ7r+rV+AdYFyCYwXFkvMXIKFju40cnVxi2YdzF886yA1XPPvg57FBEAt7r7yp9R4hCqsXZaNAUd7YQVTYCNrFmxoLyiX6Y2b9sAieurmddc11szPpL8hY3t/1+A/lojhFjGtZDy7Sa2PB27+g8uYOX7QIU/HHLrgZ9MlvvSPc0xnajeaX9i/5ZM3C09usKJBNVFepNQ+u55OEZgqCFR19L/p0fw3PpofmOKX+CmuzqiG9frT/uZEply6wqnEGO0cZoGRyMQUjqHEIqY5wHLl2qoh0irowKJg/HueU0FF/5t4BKCbEJrCHeUNJ/2kFt+OI4N/dYVXFAEbTCMUEwUAzVaxF1lSHkb7m0gayCA31dhEpj2o7bFEACG35DujSNzZ0E2dTL4reayrXY6XJ06KtMUoQyEO0MnztT1fzIb2NzmcJK9KLCaZ9QmgXKeZog1FQBFQBBQBRUARUAROBgEYGLKbyXFuzHTEhFB/yA6lzUfDQMLJkJMbcqPaxVnE4Arduq/IE9Z2sLT62bVwhtzLljhSRxEhImUYMY7BGLp6boZxo27dXwT/4/i/uP/h84KfS9WTK6pnrTKdMoS3NZGGmfTcOuU/HrjxAeHNtl7w/UQOK77SCyMfDvHfSWSdKRFT8oenOSmcNtLZsr/Pq1uWQxVK3M9FRgtuOR/7dogud0qcUTepCKQGAj93LUWufz56Mse5cKmTt1vQEmaRYNY/y1UwNqlTyQlEYDZE1UnmeDiXtCHaCc5cX1tXzZT/froYttbv5X1iYf3fsUeAnGWUiqjdLMrQucueBifHtrRt2LcA9KDoFfE1Lmo5BjmJvQhh5MaO/c50xZNGgGeKpFBoRh4TF57RJEejIKXt8f3Z57r8YCvjvy2k4uKXnYKNtcOdxO3IRrcaJ2F2p7YVAUVAEVAEFAFFQBE4GQT2f/d+yJaM111afP8s4V7oMQueYCBPyfv+n0xnYGPX5XeyDsbQx4cn3cD+oU5Er2hkh2Z6U1Yu+kPYxboVm+007e7qOmhDOolEnVi/cgsfaxdt8vsdd5Y41RqdYozp+t/+G34vHGPZ3+YlgkHB3f+smrkqkcgpHYNDELQ577NdGlROxFt06M5/LIqcAW58RaYLkT6lD6ubVwSmOgKtvQPverKQYoz7GkefhvnJxWWwXm2YuMT7D+9pNJPcLpbNbrwFUm0czC51zbU/NKcY8irkeJAV75/tqBy5PjKv9KbsWpKpRfd4wdJyzbUMgW5sh1p6+mp99RW31DqyRsrree7FP8qKWnsgGBlFCyeyxkRSnsekMqpnM/oxQQQAn0eJSwu5zEyRAoy2OTUUojxTj+eLrC/qRLjlkNvxCvFKxCph0dz9Kt/RXKgoE/ixGnIfHVIEFAFFQBFQBBSBNEKg/2iXyWKmTl3VLC/7JAzk8si5fobQhgnDaGIgbYp/+4TdT5vCiRCM3UeGpVO1/78KUqRhF7ljy86X7CmYRzMEc9i6t3DQz2XLgUBH6c7SasJadhy0p6dbWx4QRjzpwBwm8nARyq6MfArnaF68WPFoX6k+KtwsducN63bEitR+RUARmAAE/pHnOBdftqJy1PcSgjGRsoo/2FrHvb6WWT3qe6XYxOvdMphvf6IwXP9JZT/0jUD31hkFs4taDZOL4vE3exro/+Ds4hC5VIqBloTHEYeXWKUGSJE2hRlxbAlMqrUPhQ8y2rmN0aOxEmztYG2PNwIIUyEDuUy5xahLD6J1DLw1btEEQywHjkqn5FCbnHoTWdAyTELJOmRhUxky/J3ZWtfF7TyqWrOmNhQBRUARUAQUAUVgqiOALqvoNzNK//JMyEGIQcFlitTVr93mD3YYyP9w6ijGFTHC9RFGUmrNkuyehqFCWDCTHnLSyZt+ajXKRlKeIRirZq7sPjyswn/7oTJW43L8XCpq/buSnjZJpt7vzcuOFT9F+x0Z56qt5PkevP3PxffNNLnk5jj7vn0fyDsco48fNjHp0yh/aAFo7P7ST8OPzCt3wvnFqWO5+4t3Q5KHT9FRRUARGCcEUMhMm1sMSTXqzM2fuXnWId7HsnM4lv98JJ8b8cu1OcvckjbyRs3HdGvcs/MINTBxyQk5OLzBl9ZUgRuW36Ti+iOFYyRd2j80dXtgdXD1pfAdFw1P9nGynavM5aC21nWEbAwzdxSMfk7JP0XoysD0W3+w9kwAAggaN1Qfxd9H7iVJ09B6/ls3ubnPC8raRP3oD5Aeqi9CHladWFA6JdGe/k3RTpjG8rYeErEly35xWVssUatkW3tKRMa6r/YrAoqAIqAIKAKKwJRDgIzjrA9/A9pkVeRCD7lnn+VEzEU5Z3+H4Mx3fTlQKFi3cguj8FceqaG9lLS3fOImIrNPv7Z+RQ5OLv4A6cTYl7xmvhLQupf6iitrnlsvHwenDAxAP0IwNuXs9S9iYqLPZVKYMbWNpIvufXx55OOgal84R8PQ2sjsu36QY/T02zFp0t7xuR+DVc2CjXHPWzNvA5Fbzr1RmMbNZ3837hQNUAQUgTFHgLxmOC7SluGvPja/1EjjRnQjzFXf8Ej+KXOKQxKfdxzpftuMAu5y7YbDZnHysqHXrspIa0EjCZUGkMDGbZsd2Sce07HS2HlqcI+v+edLgQmbgWsmcydKLBhFaBbPRWfSirT6BgYWlLZyIT4MxzauKFGSZxE6Ils1S0EuDX0wvdqYJASQC/JyomD0P24IZIY8BRs926Q4JzF4/djPdFudM5HMa1Kz7XheGLKzGcJ9xo43MTJxT0MA24nucXNtV+3wBc1EbSgCioAioAgoAorAlEAg+4xvwpxsv+QOu7ahf+eI4iCmEMhRmG5F5DymFN7zqD+MHtyfGY3FQJop2Bnvu/630QWZmLY0bdlv+mlAXTZv2V+zJMvDYeLhIlUWG9YPS1NlS9E5a+EYg1nNgYHG53c7o9vz7LukUptUXwxKgB1qF/zz73qIOpkI85ZGPkYnF/bfNnu877rfSDB55amEw0jPgnsLOOBYlMjErNOuzXjDZbxsgJnmufaJwKUxisDYIgB78fDBVyjACHnFBT3F11mFraO7Cywl08mV9hcS7Ok/jusx/BgBuCSbkmLwJ6c9U0KnZkyHYI43NxC9fvpLa6vCnEE+tcTx2QmPCblLUg0FsosQLFwMJdVW7c2QP8sOl7wcoDSD+EX/lmAOOw+Rdew6jXyr4j29srK9PR57ae9H2+OHAKU1RWWK48+m6FEjVoQAn1/qvKgU6gy5e05Np+cRo42kB90jMtfAiVIH0uh4O3pfFW6z+9UBuGjmBk7E65yhrJrOwDW1UxFQBBQBRUARUASSH4HOkmoIFrSLx/uH/QkyfOfVczKYhe1Fe365PzIuA2lP6W1urX52HTRXZ2mV6YdXrF2STZ3ApheGEY8EwHBKrUXPrbvrGp0ijRi+LM/prmkcXGpgABpTOEmnyN5wTxlzuxRoCKm76ZSveby5kXrCNEpie+a7v0wOuzns3m/eO8gxzskwnenWyP36LwGB9zmRg0sFy6G3K5E5GqMIKAJjgQD5dB+e65B7XAgL/7i/caPrUPyB2UUhKsTwO9+5rZ7VPvh08f/ua8yp6aIeHVTJ7/c20iM3+kpGtWEXWerbbvlBOMZE3GHCb52qowtK24T4faygJeSMVGIUDWp1xwj+4RGy4CQOmXp3ECOBl+FYJnGTsW69u8ERofHNRWYrmkO+lUj/J++VMnr0ozSLNdH0l7ip1tCJlnrx+IEmR8C2uiq44p+Zq40JRgAhItzdOov5J6+ZJxVOg/OHFWJgJiEJZcPoEiUPmpzoWEcgmLKcxjgGhSSLcHeRL1Ku0z+Rf6EjeiTM7z3kD9YeRUARUAQUAUVAEUhOBKjRB8Gy5t8uHun2RC+HpitwYjgD6ZnSXlBRNWtN9TPrIA/NECylQxg+ubKz3KsugxSFSKSEIOSkiacB84N/tDP0xArm4g4s/i9VT65oTl3tIgd3fZCdh9jfGfzrQPPWvFWRi3jQ8JA2YnuvFY7xwwBl96dPu/CX/wKWvd/4dSJHLv3jHIKDVbKJzNcYRUARGDkCFHYTtRukHxURf7yt3pRAvGqtU+jvgb0n/qI08sUpwyhcoufrmc+WwpXZ680pbiXmzY/l20otO0DbPCnyx0HpFzuPhKPxoy1ODvWZ80rDw6bEaIh8EaqEK5y9mfQzwqtLeT3ZrXyFGkrE5hsh3OKXHUaIio7mIPBR80udzkOvHEP5BvdIFm1G9VE+Jm3CuNl8OjTsv7TLo684OvT4/AhI/UYEkGaIeo3ynlAFl0cfy6tlVaXjVC5qSVxmqNMos/hK8U+kjGZBaZBbTSq3yhc9sOhHRUARUAQUAUVgyiGAiy60iRFxQVLB4MU9BbYXyyJnMzGWNUw4A+lZv2HDLvSK9Wu2kARthhxXF6jCOWv7jg79w0ZGm7JyGaolh3q48JLp7fllDrVIxvSTDs3IyinvxyHlMSFXDXT+RuueAhSnPK/KGcvtUbJ96cRGuad+mHO3HZPCbRyCkHeSV964cU/cY+66/E6w6qlLR6DigqMBisCYI8Avm1dnVAv1hy7uGxsOe6r/YWRMKi4+xYn4QcfaHvUY/3yg+ZLlL2Mcg+3IjdnRucVDrscyixjJmH6qaNhftWKtmYb9QERZRR6WXbIyEIeVlR08zddOfynQciJwSjJ3UsbQ0CaBDfSBybx/2RtV75CWYemSFT0KtRhuAWyOg+6RI3u8lrbUOrQSFzJI8qxJlYWbkjxcagA2d4el4pqVtTEBCPCUM6qOkiM/9M9u310Zwq6Fp2nXReRPCfLcRekKgcyb4E+H3+QmVtv8o+hd5fUgUZpXrt3WiPvurh2KgCKgCCgCioAiMBUREF0WNCM1GBsytq99zSXr3/FFT/HDwHOV/2M+fMvSyEe7Kuv8AXEZSHsKmbxYt8AZtuYW2P3sh876NVvtTtr4v9S6xi7h0kSbrvSskEofl0XOWRk5P+6JoIJ5XtTP9ETu+9ZvcTDxdKbPx0M/+huwrPn3T4dYkIMGr+jSyEf4NkkfZPSkaYXA8or2WzfXfW5VJReNFRVh9rLjjQwl4DAKecMjTkI0F+xfoBkx2/h+Tg0Bd7wQ8P9BY7VJfgM+d2EZd7kpu3as1kyxdcgZF1/vi5dVUMEy5D+MuYWqvXt7vQkjOReB6N076rnIfJ9alENcgpEAc9JUalBSD6EjZFHDsSHOkLbQR+urj9pcIp4yeW7eNOJGjxNxKmEyFc8STiZXtDtiRZPpLAeEUaSTiVw8VslrpgeCOmr5s6ytcoynbYIRdSI9+xu76ZZRJRin4juje1YEFAFFQBFQBMIRgEtc/9YvwLFkvPGzfF0Y+fDBO/4y0Dv0L8aQ6dlnfYspW8+7JTDGMJDd0YbAALsTQhLNIRfVFE0/ps/RuRlwjG0vFptOaaC4q565kviu6nH81dJz0yT82NvcxiNY9+bL4+9tYEDUqs1bDsQPTpsImMN1b/k8GGIP3Zi5O9a5D/7gr8Tk/+ThWAHarwhMUQQotg+jeMHSCs9FZ2Ad/nE9JtX57sttEA4KTo8sWgRvIXfEooVgLKFL2+JYG4csEj5EUjY7OXtBmT+nL3xiWo3+LrfhjOdKTPZ64NkhK943qwgwsc4xoikYxffPdjrNhbs3JTEDV0jCzqmeIj1qSMX4AzGbvQJqRhgkdHGBabOU7GMUyVzgqL2OtpMEgUw3r7mwZSiHmj8H8BBtypHEI0hjyirSz4VONb/lGDUY0TfiAmO+02GkGaXTUJr2/7+ggUT7yuJJcnDdhiKgCCgCioAioAicDAIFP38E8oQLptGjIQxflhKOiyNnMpEE58DIbRfdGiuH2h+PMy9cYs38TASKZhR5JJ1VM1f6M51b9xYyRP1A2x/ZTEyTBtSr8+De9oVEzrv/O78jGM1eIsHpE0PBz5yPXA8ysOt7vvILj38QOOTd9idGMUYPd1pPH8T0pKmEQCC7KGQjQxN2UjiHxwtahICCa6KBUUgiRMRv9jQQP07OzpQRY3FsZUIITHgz80v0hMGVhDcKd9uBOoAuBsxPLC6DRpb9w9l+fIGjDkU3O7uoFRnt7S/UUciRHOpf7o5TyDFJEJjSJi+jxpCEWcgi5IhUXDSLUI6PTqoydvbFpInEHAQBm5mljaRFAA2q+5Rb7R9wQjDaTjFm/xCGuY3d1ARwiES3dIBduXGvm1DvYaRlLi+RzGq01LBmWW0oAoqAIqAIKAKKwBRCAGOU7ZfcAXkiV8brLkXQNaL9F937OHNRfxmZIvxMb0OYg2Ss9SmoWLcsG87QcXy2/mveeoDO2oUbbeKRcTKg61dtYahh3XYrPPWb7QdLDcIIUKUYpt8Nxw8EBtw8LGoJ+ofSpAcuunZx1r7r74NRzP3aPcW/faLxeUe1CIx0nvhGmEZZSwymsYDBFofsafrXvelz6VmmMk1ejLQ9JpSOR7jo+UjABIADj3eWyz7BNaFI/G1ug+Gg4t4diuOLa6pwEIgbOdIA0v3e9aRTV3BZeQAI/KL9SP4rFywtJwD93kgXT6t4CIpLl78MUB+aU4zo1D479sNPFg77B8Oh5h5Mdgj+9a6pgWqIiDHJHV7sBzGi9upKJ/sVt2gzC44IPxc6qcZpOv0NCm8Sg+GLGaIegp1Fa/q1MekI7HFNxnc2DD1ltiSm0iEW4bwJ1FpcW+UIGo37D38qksRqHrf/XLwzBCN89Q9pjyKgCCgCioAioAhMLQTq12yDPMk+8zrUgGv+wyFS8r7/p5Edob9/w/uuYuL6t1+Bk0jx72dRqm7XFXeNbJET0b2vtDnm0U+s6CiuOtFH/bt+SCE6m3L2DnW6LYynHT+XJ1bg1uEZStWPSBahc8HcHFAo4sJfPGp6YjXKH1rAkzr0wzRVMFY+tpyXEwQ818b//mrdshxAaztQsufqn4sbjolB1rj53BvSPBM/1hul/VMdgRD54sSIGCmu+BmXeoJQwrHl1s01gb+BTjzOCLNkYz+xqgWyDbgy+MavZFSLYzLb5qJcZJJse+KBSuSO12+MgtLbnyjElyeReEjIaXNLmBLCG//fg6/gZpvIauMdAz8WyDHSmZLUmdBB0ImWevE4ZCMcEcRjONoClE1CInKDeqrrTIpHGb75dBuFFUSg60lb5qGT5ox4NW7JCApymvdfhL6xXg9hI4kJRBj7mLj3CpyonYqAIqAIKAKKgCIwKQiYunP1q7ZCquCo27LzpRHthERpfEYMIQP9hY9zrBU8KkR/WEdBOYQhWrvetqHSWz1NrdWzVtHfWep1uKaHOo2dL9f4l0q9HmEXBeqBY4P/ICc/nR50jHHtvwt+Np3IiumLUg+ZuCcq+9s8zk5G/+4v/bRuxWZect78/P95WASKDEWfXS+LIOsl7770wTnUXSz901x/bn7ce2mAIjBVEPjcyiqPZNHzkdzVcT3LeYscBSDXVRnVdqWvcb1pIosjSmRXFy4tNyzKjiPdWM+IVzJDp84p/vmOIx9w6wfaliWJLJ5WMQgRges/H8nPPlFZcXdDN37csAo20eTBZH11J7MQiHr65eMThS2Mvndm0bDszcDQieqEHoE9w9KFi0YstmSitjNe94FgJwnaFqdxJ1RtME502l7D/h1IXT7CKMdnRkUMibeP6YnbGMrKjhuqAeOAwM4jjgz1QNOQDNVzE7/+HHUiUwK/3/nTDEOQzJ6CGJSeIJ9aXjYCKN3Jfe2UfM9N9aMioAgoAoqAIqAIJCECe678GUwLteYScZG2949vyKZTv46I8dCd/0CFaA+ZNms2bd6biMNI44ZdcImwQGRBm+ltB0vpRK/Yf9SbCtffM4J/mpoFp1yjdV8R5O2CyDT36yk2nbj1/Ft4cBvef1WIOw92MExEwteVfGQsSlTyvkl4r13iSFW5aPCRToZO/kkB3aLI6YsjZxk63awpIt5NH/qavGwtu/LNkDYUgZRHID7BuNISk48DHJBOn1pSvrl2mFXEONxnZEuyH+SU755ZSJY0v+fiO3PaM46gjguCEetqMj1Z8Udb6ugh+dfzq/HIbpbS0aQ/C25zS5x/GOAxfe2Gw9IjXzF82R+DqSBZHlrSDw/coziM/+++IUs4f5j2jAcCmHHA9mDmYi+OPQed2L7Ynf62VOHLqR0WNt8t1uenpPzTTQ9sFcrnXv2uM4hMbINqqzw1Ln42+u9M/ru8DObf71RWpAfi3fyxxp4lLw/vhunkwW5zU+mZxV2yokd54vjFyMeDVn69maINRUARUAQUAUVAEZh4BOD3apdkY1dx8PY/F983E9lbf6f3dzrcLlZEzoOqKrwnfr7tSI+AJTSmz5RSjDuROpDIyWCZPI4zDet20AnvFHeF1Asgh13YxYpHFpOBzjOyK1VSknFV5AI6N53yta6K2sDj5371HgIQ5gWOTlYn/CGZ70IqxvpKwEnSjNsuvo2z1zyX6TkmKtCMN1xGEjTwMtS0+UV4SF4zT5h+VARSFYFJT5FOQmCxQv7g7GLor+ueP3zR0goMR2i/6dF8fGSoSGn8DuaVttGPgrGhe0iOlYTHmcQtIUkVJvCBvYNMINwsoJFdTi489CzcMkQuPTdsinq0iOTfEuYnGNFNicn493LSIm1hEh9f4K1JmN0UPUr2qxmlDfPDt4OtSzSjpsF3zjyXS7SLCUhBP9RrJixuA4MYboeeLZCtijtdA8YEAX4Qii3L9rouvGBkTV4AYQt5GWqtWovCFsIJ+2+NozTBPFDz8pBVLXJH3gpsx/sMTXn8eHVHLxbVBIeIJ/230B5FQBFQBBQBRUARGA8E4OvWvuYSOBb7Whk5v/wf86lwaN+xek4GMZSh83vp2mGja4uHSyJkUdfhethILvJVzb1w6CB3FRqqbV+R6UyHBkTr8si5aBcrHl3KeQ/c/AeeEVnk9tkhx4QcJrLsr8/ZOlIeZc7Hvs2UrNOvtadMepvEdimhGYtaNP2EjToLHunmgsipKyOfsgWxcnYEt8CSd8uD8pGEaD5C5BoPnUmHSDegCIwrAkli8jKuZxzp4vx6C+Ul12unOwJFEnI99Fd+S4/o63bWB/zWPNI7pnD8n/Y3QyrKAaEFXjf9JQhbW7AKknj0gDakLtJEAwXp53Ses2BYdeXqjn7JSf/86krVrxmsJreBmhHOB2Vj+DZ46ITZtsLE17hu1GSUh8+1R8WHOknKb9obS7c2otOsmk6eKRdkoygMaS8ua6vqGFI2Uj5RiGVPLUeBK88t3QllbdCT/OvlFW2B8ay2rNwhJCEbzRRtKAKKgCKgCCgCisAEI1D+8EK4KYorbj77u9Tfg5gquPuf+OTCpXChefNIGbdddCv9WaeNPRnVsusQlFFHYUUiCFAlj+Ca+Zl2BnRXZS2sY8uegLSpRNacijFY5wi7WPmvZbJ/vI95QPjpeI4DGStEIqMo8XLO/s7mc24g+Zc2Pegek4o3o3Sn4Q8TbDDFc+REPtat3MLxEXB6guFdIdLX/NvF9vu/5RM3EVzywFOeYP2oCKQqAiEiRkoOJtupIangrDANuX9vY86Jmn5jvsmbs2s/Nr/0wX2NMFr+xRHXnfGckzH9r/xh9sf+SO2xEfjVboczpNim3SltSF0Mphn9TlaUrHlsxKF2+Wj7d7f1Dpw933GXPntB2TB/Ef9y2jNRCJQf7XU4pZfbwhOWce0hDKIJww57a4UtTjptoLbNhHmmQDFpkqwBZ9IbKBXhljOqj66saN8Y7cTrx/Mm5LuPmCH/VhEn8hcuhy3sHPwx29jlqGExkWkd/p7Yc3GmJsbDVNsB2lYEFAFFQBFQBBSBcUUAjSLyLbRtfkVi5YzlUs1vyydvtnWM3YfrcQyBZin9yzNjuzcYMKikxo17Elp2YEAUj574Psv8JaF1pnKQyy5+HHIYB2RzjqonV/J0gv2+BwZ4atlnfJO0X2LkwsekdtEmMz0ZGqNgF4WEHIWOkVxycNjx2R95Dp7zkevp9xgSNazfRefGD1ztCdaPikCqIsCvcoEcI+xiyG95k4IGSZEfds2FYZnkujE7Oh5l/4eK/wad85pMp4ogWb1Bg9oXE4Efb6sHN74GRiCIuntHve3NffsLQ/w2j/7yVZVMR8FIYczAFbRz4hGA7tvd0BXX0WZtlcMj7W/yqhyZS3+g94ecRRRu2TUjqtE48TDoHWMiIAJXWEF/BEJHnj5iRTOUGXUkkeFqWF4FYhBMmlnaUAQUAUVAEVAEFIEJQ6Crug7t4vLIx3EfDrwpJhpiAL33m/faAS4tecrSyEe7Kof+hW8HjLI9MIB+kjTnBKf3tbZXP7UaZml00rUE75K0YRiO8OwcdnHGELvIboUE2/3Fu0N2Top03bIcVKBgGBI2KUPkyCeYGe1XNjIxkRR7+1xUFoUz3PCeK+1OCFs6EevandLGaXrNf3za3689ikAKI4CSBJoRzxcuGnwMOWxT96uTJSJaWdFByi0ZeQ8ffAWRIYzTpSteDucDQw4yiqF/5L3CTc9dWAa1Eji9tK0XAZ7HBSMwMt065xa3At0ly18OOTipr29/opCwK9ZU2UnQaErpfOuMgjy1eAiBLymHQqombow66dUNVr0+cwK+u6jvxyg1+oTA5CsF+kyANpIfAZ4WT5DLlFi097zJzbA2/1fCw3Ufd7AXjJkoYVjGmB5tKAKKgCKgCCgCisCEIVB07+OwKBSaC7kjbNWiyGmoHCEb7bDss77F3K3n3WJ3nnxbHKLhfBJcinxqWCZopYHetKu4suF9V8EucnwPVh0FFTwaMqA9/VPlY1xXFz+vaPcwfaQnFaVu/dptMtE1M3INtYP4c74d1r/tCyO9hcYrAmmCQIHj3JF//pLy8T4vFfmuzqiGRbz++aj5JdS+KZbEGK/AO5HLbPePXxvzaFxLMJL226eSKvi3vKZPLi5jP1zverLQtjkYvy1NoZXxx3nfrCJqMK6tGiq5Zu+fJOiPuqQxpRftJOjf720EUpDPtIo02hO1nbQIkDC7pNyRLwaqHCVD1m/Xwqsi3CPJ12IKU9vpqN2ov9dvuX4k7al1YwYBniAPzm/L0trzqksntpm/1FS2O484MJnarEaDd2N99dFVlR1251i1lb8eKyR1HUVAEVAEFIFURSDz3V+GicL+I/yAe67+OWGeInWIBpFy0Y/fdPh0exSpZH3GtpAs5o6CcsiitgPBikp7KdNu3p7XXTdBvz+amyZDo7M0Gqj27D/axXMJIcF66puSYf+Be0B/aLOFo2uPVMRYfP8sEMt855ek3GLu1xxDbTr9O2zecoChXZff6R/SHkVAERAETnHL5SHVGydA+C2PbFlh6uQrrNQPtwTI6aGhps0thvAMLJY4ttuD6IAfw6bE9iLBiWBGQQsqSvplq/hNX7W2ak5xq02Rje1Opu5qO450v/mxfPxxniz0lq9Eu4guFAxxe8H7w5xxbonj1s01qzDRv0uaudqYdAT2NzlVFqnR598JBsEM4QvsGaLooji5rK5qNwUYIaUJ9vNUnrn6MdkQqO3sxw+aZwc5bFvz5DZ007m1bognzG10ehKUKI9Tzjy0No4zgXrLZANW96MIKAKKgCKgCEwKAiTYwpb0dwcUP7H3g3YRBSOGFx5iSgSQiZvq9hxprnluPZQRec1teSX2LUxb+KWGjO2mRxujQIDsdZ5L4MSWHQd57jy7wNFJ7+TFGB2paM+K9XbFPN3AAGUV+V5Al4uOkbcd7t2uO2omUqqRMDA0PdpQBBQBDwL37HTcOn69q8HTP1Yf793TwPrYfEAzQklBRr1nppM2+4udR/y3gHdiCNNh/9AY9pCaiZ00N/pfVy3Z9erA/NI2iERTMxDS7GvrqknnHI+akGN4EP9S7b0Dexq6Vlc6MjNz8ZFOhvzxJ9kDPYu8EyQvXFr+97wmRKGIkXiX3jajgE6+2mpVDF/+85F8+nklTvK+On3iEeD9EQdhUSF6NtDc7WjYcmqG2X9g84ENsdNfO8Qhlbi+HktebvNrHT1r6sckRICkZphhCEZj/Qy3TJkLnrKdHb/bpRwLW+L8wpL4AbkvUvMdR7owoOHaFO3EVIjOWCvw1yK2xBsbEhNrrvYrAoqAIqAIKAJpgkDG6y6FLSGjNu55ycYlsn7V1mGR/f30Y7NLMcBh/bE/4Pjc/MJ+jJ6hg+pWbKYSoD8WwxEYyIH+IYmCP0Z7whFwn+ypA319njCYMYpqOonVI9GdehYZ14/1q7bYVOHo2iwy0k3CSa6MnM9LDjgUJm3emudfofCeRwnIPvM6/5D2KAKKgEGgqLUHzmfa3OC/Ipmw0TVIfH63Syc+kv+KWaG551Vq93HT6YeGOmWUeESD47QZswEITO7+5bVVKKm+9fxh6EQ+clEV8NoNhxeXt0M5muAp1MDAl9+pQy5oxjE/Dsnj1z1/GCmjYPj66S9JGyWqnSCZ39Ij9RgxDR/zPeiCE4CAWLTEMvytOOrYAeM7bHaC6we8PZ3oHk0nSdaSZusxCuH7reFYX+OxPqWDDFZTpSFlObH+sTec54pd+Wp3jrrNi7HMtajmdeKlerZ08Kcc71Jgtj43kh+G24+M/U+8UZ9CJyoCioAioAgoAsmGwMYPfgXCpHZJdtyNbf/MD4jEntgTSZYuCbmezmEfBwa665s8RGJ3tKF24Ua4o+pZq0iaHhheMwcSjCFihq2jH0aCQNa0a3heXRW19iRyyQfZxVkjyGq3V5iAds38zNGRivas2iVZo9gqnkdCpEMwbrv4tqasoVqOHcVVB256AEjxT09PR6FR4KlT0hmBT7jFBrcfGSIHxgqNyo5eeCfqHHrUSshLzniuBMWgP03ytGec/rHagH8dVJRChf3XCU4M4gvWC8cZ6M2p+x8pqCHUohlCzTgeZ0TqyaPkoqqnyBdnFw0lQdd19X/IzcSHfvxOVvSm7Focw+XCv5vruycuRrkgB8Zqk/nNx/x6zlikxFjdNFXXQbRm0pw9Z4Ra5B0z5Ux5DfiIfsxDJOIpTL/HNQmZKz7C5hXNrD5q1vHcxf44Jf8GYB8gVdo1nb08MmhG+0B8i/FAt9WF/sZhT4jdJhdbpLOkPPNiIFrk0fP/ICgYJV97b6P3xwX/d4NxDBtAQxt7YR1RBBQBRUARUATSHYH93/kdnMmOz/04LhD7v3s/kSV/eDpupAno7+qmuqO4PEP+ROdmDLOJ6e9v3ZNfNXMlQ3XLsm1XF3geOhk1S2ljpAhsv+QOnpddXRNJnrCLPJGRrjaR8TZPOPq2jwn3H6G3uQ2HIE8/Ly3fFFJcFABpZLzhsrWv/QxtLlLL8TzyTNGPioAi4EdAzJRv3VzjHzrJHn4NhM2DM/Svw6+NMFHQjEPJk8ePI25E+YYEbvy4Pn73FPcWcnvhuDKqjnrIT/9Wk78nrnbRsDc0xpC+8yNz1zan3uZVGdVmiOcr9RiF103kK9wvfK9ZYXQNtHAeatEGgSEVy40O2MBZZMcDb2vvq/wJeneD0yY52s6ZZRbV8Cg7wBBiRbNIfotT15F+xGYI3rbUdQmblBU9Gv6A+M7lTXb4Jv0v+RDo6huANH62pDVWlQn6Pa9H4CGajvXxenBR5tEfgKcM6dKMev5kUNzq0JseHts/XXsUAUVAEVAEFIEURqD9UFnRrx8PPyD6QxJCuTrL42QYiWd03bKc8AXNaOfLNdWz10IQIUj7/+ydeXhdZbn28893neucy3M+p/OpOE+0KLMio4KICCqIyKwCIgo44OeEiqJwjiKicARE2jK0YOcpaTPSIaVtOtd0IE2/TGRopmZohiZNk4bw/dZ6kjdv1rR3pp2d5PFaV3z3O6133evdq6x7389zN67dWb9yg5BFrTsPmD4Uupta61bkOk1zUp0mkTL29lY+m0a93VPLw0Jg9y0PQIgZCxisSZDecaO5KcOaJ/GdR04qsovMEUEw9vWVPbZwZcp5whmmpXz64K+f8VxmT0NLwY8eX/0vF7vh0g61CMe47+5HYn5NPPPoR0Vg2iLQ0AWt53gljwfVdtpLJSgSW4MSAGIJAd2EgE2Q55XzqvRKaohTDrsX8UibwsaaeibJqe6cMswEyfHkHTz+v+ORj1Hg/Z1rEg2jKLwxIBOKzj3FUgehES/+yNV2Nx6/65U6Kr+4upLQ6f3NzkG9HBhDcCCBM/drZIWYks5xEnOObLWTfRR0H7GrfMvX13SyD0k+4GeWyNBIExSiuVjS9y1wlWYmoR9NsEbSMxUr4pBvqYTlaiJHg2QSFvYfcahjYur9FDB3lQ1DK3H30SuHJKRbILsoA2Ep6YCRkD2PfPc9rKPdQcuKgCKgCCgCisDURqDx5e3YfOBVAbkXfaUS+7zhnFsDLS1kLNa6OLysTDlX+pDZr/3/lUdMizCMLIuwWwSWmm7t2EO7qRc9cbt0QNkoQsfaJeswgqGmPiOPziRsNMO1MCwECn/uZAss+f1cRpH00mUXT6mamzGsSSak89iESC8PjfrPu9QJ9ucg46IkXYyCpbf32Gs1Q5S3EwKKnlQRmGwIkHLwkwsdz1+/CezoL+WRPc3M/MDO4DQav9jupEP8SkbVL7cfJvUiZeSL/pA3lrGuphPa6kPPH5ykCRJHj2TYDMOSL/IyzjF+Ikakp9hwcxOFExAikSyXnnv6A1foeM+mADPxsMscVj2R0XKl0X+VghgWqhGdkautKG8Xe2g4Jf9PFRgQcy8gIW3iEYdxKgMfO0TX0hS2UcWZ2jYy9rNYEavVpgQg0NvXR2JGbiK247aVc0v3iSyXNoThh2GOWIn4AWEo499O9igxEjKnwISIkxI9HUJO20O1rAgoAoqAIqAITEEESIq4+l8vhkJZe/K1aLGirxChI5GzdN51/a/Cem6/6id02P31B6QD7B+cTLsvvFRau+oaEZLVLsw50eYNRyIHIE3ESp/oHPy5WUZhHt2QucVRoM1e2bqtoDX/IGW4nbAlaX00AuVPLOaW7bvnT0RJL0s5a1HKKdXzMqOHJEnr2Ji8rB7qRjRwbQX3PgYs2e/+krElat0xRFI70FH/XxFQBEaCAK92eHGS8g5zE5g9DqyTRzJR5Bi4BkKk/+OJV23LD3uEcE2ygI+8ULSh1vsvDvI2pG7S4aRZhfiT2sO1HFOqx+u25xhX8R5sABJE7otwy9x6rKU9t+nGnEPc0Id2NXrqx+pjnJiMKw5jdS3JP0/nCcexVw5/VlVZP1DTwXaBob65ywmAhZyEjPJcJmJIYqWJsfU2uP1QOaJ3tYfgL8xvEIZlspu0PFEIQPFJ1k3uI5JFmGcoaLFogSKOqaMmtSPbw5PG038tQmubuHsksoySXzTIwYjZUHVHT5gU1j+b1igCioAioAgoApMXATLIsXh0a7AouWd9vbcrroCgxuztCBQZgrGFV17Y27v7pl/TBFdpCMPOkioIxuoXszzWLYIb3tCQhN1BxCZx0w6FOGtlffrmQJA7iyuhH+lQPdcJryawN7CbVsZEgLvAXVvzka/2s4svZcUckiQdcHOWTTLyv7NT2/YF5GfDnIWQZ7j3QNa9r+dEycPzyEe66bw7Sv88/0TrkOiYJAFHl6EIJC0C8D8/zqtHDSisHX+RnBHIHBbLPMoL2VrfhTc0MrbH9h2x6QJCKjEgfpPLbZJ2DxEjihb7XAicMASBoWKFrO1HefUkdbQ7aBkEeJsewTHe0BGDzi3jxj1VEPDL6edWVtA0qzCgySyMsHokasSzV3UM230nfkDM6bQwGgS4TdDIZW3B/x0rOfEwAh76/XYS7aySUNmhbKGsRPRvrXF85cndyh2HuUIdN5qr0LHjgQCSQgLnxZCF27SivI3o6SEP+qCzQk5KNs7oVJwMlTDqjh7nnwb07ZCZnAULGKSP5jnA3kATS2bIoFNpnSKgCCgCioAiMOkRwHM59+xvEO/MlYjBhyfbYfQVEqG8OOXjUFLLUs5Aylj8X8/X/CObPH6Sqm7dKdejMLRncNxbSJO4Mrevd8h/pdMNXqg+UD/W19eQkVezMKfKJQ/hkewJTRlStCl3l5BLOE2b+mlY4BZs/9JP1nzoK3kX3+UEOw+FOhqQ1t0HuZsci1M+xjzRnZOqVbbQyNlFRwSb6tmucoE7r/slgNSnBYgb2Y3pb7pEEJO/qBxxgUkqZHQxikASIgBf94f8xrMXlMDtyPHvT7wK1fNsYStv/l9fU03l3w9EcT4jvij0JOgYmf+UecXXZlcROXvWwDLgD2ERWZs9OeshelqMnmEg4SHHJPuifYopUzYv0fEXeAdPwOWjWf1tSGi83H2/slFWhWb1jtwaSG+zUdk8gURl2FXED0XYDFo/VgigRVzymkP1BErRYJ+EEfJ/wT2hr7Ieotr9jFNOtSN1U23zWN2ycZoHyWJ0TLR93trOHu4puke7MrAMacjmEQ0sv53Jdx/bIESt1PMvC2JXISEXlbaFceCBM2ulIqAIKAKKgCIwWRBAXpiWchHcCGzSupnXrT/1xuGunHyJWy77PmkbbZoFZSOmusRce2YjO2LNojU4s7RsfdVuwrQFaogMkHYlZXjIxpxtKBtRPxL47NBHc1IDVY4ysOtQPRdCt0CmyDP51PtIIkqyYto3gnLO+6/qqok3+Iv9sDLlUw67OD9n0uFjGOaR0YwMD7zktJQLsYT2NxEuvSLlHBCm9eD9fy96YA4FPvI98nfWGkVAEQAByLrnDrZCJIoUUEgbaEbIRmRmBiJ8T2i6ZMVrpmbMCzBOv9nZIEyjLIPYZ9gk+0RoTJ7Yf+R9cwqlA8v2pO+zO49tmfyBAcnjxvYc4zCbvFDH/xc+JzEEY8S14vnC/fV7N8AVoK2VWw/7feGyssvSKs5fWiYy1ytWVdoZ/CLmjx+NiEm0aUwQ4PvL7bAtfT06ZFggOqAxs1NiikGwx7xDSCeUaXZIdUWHMxzuiCFjsmCdJBkQKDvq3FZ/xoyItcEximqRv36L6gMtx9ljEI8qc43AUJsUAUVAEVAEJi8CtYvXworgW7H+tJu2XXnvyC4E3SPp+7Cf3vvdh8ufXBLBaHWTa3FOKgdkoDmXIz+bvbLmpSxb2djX04Omkfr2glLp2bRuJ9wRC8Yvxoz1FCRUFr8YT/2U/9hd34R/Mbcy94xbSJwIhVvxt+WYHeff+uCwrr11VyEID2tIknRmF4kF+QgIRgYGktLIEYGUJACea2TDr0j5JE2IRU1KAfTAAE4lNuue/vpREZjOCBBitqqi4/qcQ7YSjLBoCBxJkecBh5fzDz5/ECancvgRqZ6pIj7et9VxdeHAsYWcaZ6eS8vaDf14xvwSkmt5OozfR2yLIV2/OWBpPX4nGvOZeQ2P/xB2cX5CFIwRV4prOXvAI1uFIPpatpOb8X8/8Sr7xGa/MZ7GO4YmCOcgQ3LvqeIHxDtSP48pAiRFhNLhdpgUeTyXsHohHZ99HjhG0TEWtAxmVuSJ1Hh8yH92SrY9O80js+ERw/yjtx2316PlCUdAXIHIEhz/SoRqhkVsGrptzAxoGtkqa6oT98+KObUWFAFFQBFQBBSBBCBABjlYEWFLEnA6yBkooOqXsgwzw0nhEome7mnqj5ZC61i3ItdhFy2qkOSN1DA2IssiM9ABKjIBF5JEp+jthR/mDhb86HF7VTbCdv1ULZt0ncPjGGenMjAQE5dgnJHzvqvs1pYt+0S7SDYAu54ywl3uAtHWnnr9qAhMTwSwXr37lTojAoSWIf8hZi4ICKMlPiQ5pPP4WW9AXTI/x//sO+K5NSTIumhZmbTCc5KdL3qpnuGj/Ij8ydCw8CGjnC3Bw+M0NOHN2rCLGZUTmbe2qet1bjQCRdgh+39XpztWPmRuZDPY9VJG2oqUkQ6P7m3yt3pqSN8nhBVXHXEAnWegfhxbBLa6lM7G2kGXn2o39BX/Ds+JYJsXlDg3y+PeYrqJp/DS14Z4CpPNjyGp5e1Dt5IZpIXJikBrj5NXc1i/McEcMiRC8S4G09idT1ZQdN2KgCKgCCgCigAeeXl7d91wP/4dRNHuuf2h8qeW9R3vEWAQvwlhkvm2zycAqr6+vvrUjVBADVlbzOlQf/U0D+RiokP6ZjrgVW06SKHOHUhTy44CxIot2/Z7OjA5mSFrl6zz1E/tjwACr7Xz2vum9mXGc3V4soBGvMfsVMhAhkTMnPn2y8H2wM+eJAs80tnSP/2DjKPUBPqnQ/DSVLc8N2JCbVIEpjwCDV2vk/Lu426qQ2Hq0IkRg/xScRup7+O5fKRBDDx9fkk8nUfQB9sO6CMyK9qrgTe4JrNKFgwR+rtdjXGudgQLCBtCrC58F2s4b3EZxiJh3ZKzHj6Z1+qYB4QbwkV8E6BxdoU7cRMkPt74wyAB9XtmF9p4EsUve4C/V2dUBa6BqMm3PFnw4ReK7IGB5YLm48KmRsNix+QGzqOVo0QADpnbbQe2F7Z0c1N2Nnb5Z64dyMdY1+n9DuIC7E/kiGcHDtTMVtXh7e+fXGsmFwJEwUu8sz/Y2VyInY1TCEmebxGR8ghi2S38nGRmsAvsMTZqTG9re4iWFQFFQBFQBBSBRCKA8E8MXKA+7CPrHVeYXIgVz6yQpobMQdJvbBd57FA92sXmTXsIwj1WVSfRrCb82T4XfSCIWncU2JVSxvAFp+MqgqxdEqn6xUx/uHTNgmwm94+dwjXwxuS9DItMJ7klTiU5H7h6w9nfLH7oOccucUr/DzliXLHSs1OxNQ/TLhqESEe5KOUUvh3ERGOuLV+TfXf90XSwC5sv+g4d7PB/u1XLisA0QQBmzFA05y4pxbK5sWvYnstnut4r+U2DgYpji96duTUwSzI/jChuLxIty8qJzr5/R8MI1jziFc4ragWlP+5pJl4bgvHnWw9PRpdR3oijaTRabXZxYUlr2Es0Aa0EnKLrs9/cRwxv2EDJ9nnaS4M8NtHQ73zmAHsAv6HL0xyDaZhe5Eb+GQhjZ5/EEyUtIsYIHaPKF/3wJqCGe82GzB0aIm3Ou6fJYcv9+sbdvkSODJGI17UDmRYgiMw8WpgCCGDIwmYw99dzRfw6wLd768BvJTsanPDnQPGzGcgQ+mAJZGqkwHOPmH2a5MDuPO/wsQhi0zNcPyoCioAioAgoAglAAGWgeE/AQZU9vogIYhLEwdFJRC3MCdbPsoyN59wGN0IGvzFfVVddoxvv7KjFJMaZv9WuK3QlYdFHhvyEd6LzGK14tdj5GM2S6ldugKU8Vl6LBhJP6hNHvUlR+tM5Lsg2Q6ZDYUnKaRn/can/SnHGIX+gcGLmLy4kfT1Dsgn5B072GrZBTM+Xpg27AvMu+q+dXSrG6GC4+l8vhpb096EG2hxTdb5oga1aqQhMKwRwW/7l9sNFrUNsU4aFwO93NyIyhOcZ1qj4OyOQQ8eIPu3BXY3vcDkl2KRrMqq+nF5J5j3K8I2UF/IqGEAvxX+e2D1ZBsbZhGNzkPpv/DjV2EsZdY9oEaOHXYSrCTwh1hvEn8ordmbl0fHjWuF1udGfteyEfrbFyczJNmBhnPdb62v5OGNuEWo3z1Kvc5M0lsShMoUjJRKcaw/kGMebRPUsWz8aBPjui4wWVsdUmgLPB3YgukRTQ8GfyJFK8uzRk4R7B1u7s6s7mZOPiNMIx/ZkbrSnMmUEb6ashaRFIKvKiXqGEvTYb+FILne80hWv8tDg1tMz+tbn1jgsop3nkwtv7X5ddLD8tgKvCGuNtRDdOOiPSjZpwdGFKQKKgCKgCEwrBIRIzLv4rjd6ve9ImIAsTJnJUbt0PZhARknsZ/lfF48hRB3FlfAz5FdERwfbiXwOVgeJFySnqBBrl66zucT2gjJHvph/0L8GYqjhHiMMXOAqMShheNue2IFL/vknbw3yxWUpZ+IiPXgJvb1Fv3tWbijx75jvEDZe8oe5mETDkhX9ZtZgz6lbYqcRR1+ftpE9ZjYbH6mMk1o02CCUbczejnN0BDe7+dOOfLFm4RozSguKgCIwYgSg3TweryOeKmxgdlUnnB4MEgc2wUZzQhI24qOhlaQJSdsduTUbg9Lxhc08nethzOSl2PPXwy5mVQXnH+PFfLH7hg7HKC/1JDSzvXrHEFscW06aVQhVaOb85MJSbrrtGAv/TA3d7Er6X+CmYWQGMza6AFHtyccIUFRGj9LWcUWAAHZ2KdvML5Tl4UOTJ4hVeCHPowCVo9nqUEOb6o7BDi1x9zD10T+yOAHXpW2rKtoDI/HH9dp18mEhgFaZ28oN5emEWBEymTwe8oCicu+A0p7bzceMSFMwqELxG7KZbR5xPB8YS7JQ+3EHfS0ZHdMqOnSTDOuWaWdFQBFQBBSBkSAQK9aVCGgYj+z3ftkfRyynK3nkRTosT/mEpKEr+f1c+RgWbDvcRXY3tMAucjjUou9/HQfKRNCIa4ZpxMAFLsiffZEO5Gykfxg1BEtJcDQdkDia2aZJQWSKGz5xK/cRqJGqSubARSkz99z20InWwfc4QuC5xUT7ThNkEnOZsI753/wdwG46/47EnFHPoghMEwR4idtyOFjnNnoE9jd3/8cTr+IWjWe0f7Yn9h8RZsmY1MycV0TodLKlRixo6b53cz3xvKQE/MCzB6HLnj7QMt7crB8uu8avY/Swi2HaRQxbjYaH6Gle6uWlG2In1n/v2OcfRhmiwBj9EClP1DN8sifCdV5xGxkX0dOSRFSmRtSKFw9oq6hoGFgnZVf4QFgdiEHbSZwNgLM89bSaVYubMMbTdiJH8QumJ2n6PKH0fMTFgyairc0knoIEXEfzUZ4h+nECEajq7GWrcE/Ngciw1krUCVdMU/QPB+QCpc/aofHRbDnISeKjbXbRXKnE4G+qG7QoMk1aUAQUAUVAEVAExgoByEOYQxEfhs1ZcO9jkB5hcjWovKx3XkGHtJRPN67Z4UzS17d2xteoIWdj2JzDqm/IzHNMNArLw0bR5EjLZq8kvFT6tMM6zlqJ3K6vZ0iubIl4JT1j2FTUd9U3ddc1RnSYqk2dxVVESXPj7CPng1ebHJv2hRPkS2i8XaNlGwFkigg+t1/5o/xbH2x+Jd9ussvbr/rJrhvvxyyp8OdP4Y4E8pC6J9r0P/9skLSsCIwQAdKjESItaRgvXl4+wlniGLa+JjjyjNe9k10F45/2NBOallregf8LFJNoGpE75o0b7RnHqvu7VHX03ra+Go5UVmX//dDzBz2Ku/inHZOe0IPQjKJmlOhgAgkzD7XjrBqWd5EYQwk25J2980R/3ChGCRInaPSlY7K8wEmIdwbDQGsh9sm7ZhVCP7ItGYu/OT1J42nmIZ0j4fzPH2xt7taIV4PK5ChAMouijJ0Gh4NQTUgk6MF2K35ZuCObLeQpIT0J5A909ICKTHUZJ4gpPxYm4NrDTPp7ak1SIcCuICsj3DK/49g/fHAfYQ6ROLIxIv4ntLOEVEd0s5tQ2LJFSVpr04/802Wf3e6vZUVAEVAEFAFFYAQI7P/eo3AacINhij7mXPvRa+nTusOr6OvtPAZ5gryN+Ojdtzxgz9C+r4R4W0ZVv5Q1glXZQ5AUYuhMNkW70l+GBINRxK6l95jzI2+/EHHWyrrl6zHgICy6s8xJGkkfHF7CpJj+acevBpUgYbbkkOSgEO1BPB7LAFVi3j2xum3/LCL7H/eU27f+9JsjYCdimtDp8VjYZJ+T3QVn6H4v+qnaxSkf6zhQ7r8ucoryHbGPjZ+6ndSg/p5aowgoAvEj0NbTN7uw5dKVr4mTMhwObs63vFwd+boW//TD6DnXzc737lmFtlqJ18kn9x85342NPWtBSeJXZV9AakUHIjogImPkrWuryRWJ9S1vuFlVnTe/fEigiz+A1555Qsr4MpPFjtfzTF+8akfP6/JKjnvCuK6NG4qxOArGwLOgFP2oyznfsqaabiAs8jaUb1euruSjHG9+suD6nENKGQVimLSVfM0RE0psPpuQg+hXmwmX0FdMN+xMeCJFY5T9lPBco+gekeB66vkodh6egGt/N62ZLAiQdZOdw28oEQuGV6QPD7SIPoFNkpbW5rHX13SimyVzY2B/rVQEFAFFQBFQBIaLQN/xHtFN7b7p1zK2dfdBxyPY+t+6U66HA/GosOpXb0bDRj2Cq6Z1u6Q73IiZ58BPn6A1NeV8j/2KNXFU0SgPidV1WMGsGLbU9IdddHpm5sm8Pa3tTrCz6xMtf7GNbsnbO+H2x73dPTCK9sKkTCVNUaCMXRs3hZB2btCmC77t4Ridk/T2sjEizla33GHGUN9F9Jm2TbCLgEOayoIfPc6dzf/Gbw/e//cwNODt9939yLbLf7j3zodrFmnexTCctF4RiI2AIxGs6CC2920DEkFUeZ9Pq3ihqDXizT32vKPoccb8EviiX+8ISO7BrEie7tt6GFXbKM4wqqHQiRBZrPALqyoO+PxHmPrh/GZIWqK/bT5kVKccz8HgKazOmmqPhUL/WdF6SVI7Wz82HivCxRtUCcwPnLzuWK90oM/3N/aHXQjhTBw9skZ8wD+9rJxWDMq5lsBJtDKZEUAVhmmvJyUjofpLXNchHD3M4kmIJ+H85e1R/9EFa43wDBGvTQ0xCXG17HkkuxP1iDMXooUxQYCdw13mntqZFf0zr612Qu+hpj1N/HpF8g2k+wz36xLFcsimJWG/mQeC0d/ZM7N+VAQUAUVAEVAE4kcAetB1aZlBYr39P/gzaivEV7agjjBPCJOa+TkyZ09z246rfkoNPfd//1GbiZKUfZIpER1X1klfpNvOr94X/2LoyUACmYm8llEoD2FpqIk5CbJJYepM6kXsoVE21i1dh3aRCUdGdcY873A7BLKLhmMc7mwj7o9djri3bLrwzgCOMXxepKpZ7yAofuY0TFMZjkp/S8UzK9jz2e/5ck9DS2BnHNib8/Z21zcFtmqlIqAIjACBrfVdd71S9945hXAycnxiYekje5oR441gtrEaQtgji0E8mZzhrpCxEhb9vQGOK/DCkTVyFX8/4H2gQYxg8D1EiRU4PlGVe5u6eFPmyHXyj4WetbnrhNizjmsOzKcKWgCN2Pww63De9PEWR78qHYidl60C92iWTs5GounZP2FEpemphUmBAJo09ifaWnu1eW7yRiKg7crAsliBeNKiplc61jC6QwIRm6SVVR090TcUtSE3nWBnm21G0yj0NU1yLChpJQXogZbjxmFc/GWQvBpkJHvn3iPHcYEhQyNMI49H/uXa2djlocfNEC0oAoqAIqAIKALxILD75t/AiixMmcHf1f9ycV3qRnsUQizqIRWprJ6XuTLlPD6Smq91V6HdjfLmixwDXJSEUt+8aa8bbPtxrKU9PSM+nug8RjbF2gE1F6wg5BvZFCOGSJP0pDNm08REx+w/IR1gboVLDPtrU7vjvUIcjZeknM4t48aFhY0TCG8vA94s96yvM+TAz56067XsINDXl/GWy3DihhX3A9JZUp136T3yLeN7sfHcb4WRkP6xWqMIKAJ+BIiH/c3OBvR1kDPmwNCZLHYRFJN/nnGqEYNgnFPGaf7RTAs+gtuP82IsL7/pONhenV5pn44X0tNcceY31wY86+yeiSkLdcNr9arKozGlOHWu6AvZWLRGaDQrh+D83MoKcLvp5UMeDhaCiH3L5NwCYwiCQQydv7h6CMj0WVzaTsJG0ngmw34eDSA6ls0mGRobjp8waMDqCBeED7WpDCtInkZbm1vc5kh2CXqdFALjsOvS+uEisLPBYapt5yCeKqJ7hIVGnk0kPn8JqCcYXzYYBmQSHM1Ho5XlqUJgPgPzG7tkOH8lxYRqGod7U7S/IqAIKAKKgI1A79FjO6/7JZQRx5oPfYWPditlLFTgQ4ioFZdhfEAcw5fewd/ZTf8dX/kZk9h5F0senufnIU3/sAKJE+Hf+pM69vVVzkmFcuztGgwqCRtY9Xy6hEWjWiQNY1i3CayPkC8K5UiHRC6vIWtbP8f4me/6OUZSa6amXIAqD8bsWEUdd5N0ndzi7V/S4OiAuyQ5FQl29reh9hRmHoIRDl9oxpwPXK1+Ln6stEYRiEYAQSA5DHFIMaQiKi/YvNvX18LnnL3AiUqG/kqAnUfEOgl8Zhko0AyJFNE58U0oElkeHGOYxM5eEpCeMq/Y1OCLLT41+E0nQ+Y3sUblxVnekQtaYnM1vH3Tf81QA1ZzgWNSIGT1khWvATIoYfHDfkCm+LMth8nNeNKsQo91jigY2bT+UxO9ziRpFer85cdmMtVsPezYTJNez150dpWjP+RotFhHu4MpQ1nL9jZcYk9vnz/g2vTXwlRFAEsW0WATg2+uEVMhdhHbiVZTKQWY7eLW7u0Nx8i1SB9oRtODUH3ZfmwtNJOouzF/YV8hoay2LK2p4WlmpxL1nEI/KgKKgCKgCCgCNgIEDq/+X5+BMkp/0yX8xRc4MO4177MorxwGMveMWzqKvD+ymwk3fOJW+piUjKZ+uIWWbfth24xtdGPONj62bNkXc56quenERNdn5NGfQNSY/RPfAQpUiMSwv3i+JHhVhMYLx+h4vpwY/G29q6ZR/H3k1stf4uKLHnw2wSsc89ORn7NlR0FD+ubmjfkR+3m45z3w47+CErpQz0ASLa5I+SRNG865VdS8ZCvNeOtl1OCy5OmsHxUBRSAQAagwXqyQ0r3FTRsI60L+QOJMSSRoR4oxliDEDz9fRP66CQyRvjzN4YXusAyC/RdFTraGrteJNfY3jXeN0LN2Mq6IM0J8EXJOh6au169K7zciuTazyhOtGTHDODUBnDhc8JrMCzJv3EQFUuaFOvqMDJSenp0TPWq4rZwFalE8dNgM5gA6nKYNU8S07AQJ8PdnXITOZSAZAIZ7du2fVAigFiNjnp0pESGZ0Dv8tXWJgcsuP+pwQemVg5HUEtzqCbgOHKuVUwkBHm6encDVibqV53PElQrBaAdfs3mYin8Fwp7kkJPmAUtP9JAEWdvEZsTptEkRUAQUAUVg2iIA3YEdcMG9j5GFb9uV98J4oKryqxNbthUgYqQ1wla4s7gKfhKZlieodgTYQm3BvzWu2SFjiXdGwUjgs21U7Z/2RGs7oxBMYiRdn7qxq74J3R2T1C5dV7tkbUPOlo7iUGrUP9s41cQkGOkwTqeOmBZnbYSp3N+8S+62OUaGlP1lwfpTb4R/Tv/3z+65/SE8gCLmmRRN7YXlbCeb4CUAv+tQjDjBeC4N1xsw9DDhbEi+YtRj/mIbDFFP5frTbopnZu2jCExzBGBg3j/noKFo0CsSVRrxPoXfBzwkDi8TghsRuywVX2Z/oj/oRKylP7viNeNEg/zytvXVdrxbAtYsAc4RANpreNesQphS0nl94FnnFsCY+VMy2v0TU0arw5J47eUwqkXyL2J4QY0JAwxbjIjH/DcorP8I6jt6+lBXzitqvTO3Bk/zS1ZU3PNKzUbX0wfuEVcXhItm2r+5aRtP/Uexh/OEogTzmJHsZh4tTAoE4BuFFNrqhrti7RG9bNmuhL5KNxNwrT7j0bhNvdaytm52jv0bCltHHoMRNHV7j5O2EaWi6cPDX0aF/QxHpkexH+J08Io8ytIq+gOuCb6OuWOnHvJ6RYqAIqAIKALxI2BioskIh/UtpEeg6S26NZqQuhn7FfsUUH/rT7+ZDiW/n2vXj7Dc1wfPZnI5MgkmLzBChE4bd2n/zDA29BH7DOyYG9fugA6t5ngpi9SRVXMzmLM+Y3PCnJr9K6Qm2UKkzSLr0zejTuQOolb1M8ym22QvoFd0yOrn03FFby8obd60h00iZCMb20OuDvdi+eIAIDSsGQhzK27dxl3dNEE2Lk45Fdp2sEZLioAiEI4A2kUCde/f0YD6K7zXYMvPtx6GmYHeGaxKVOna7CpOfUPOIc8JUaMRIUsTBwYrBM+SMfI/n3Z8nDmgoRKWau9Dzx9kJZ7lBX6U6F2uCDtpFokvSUGQ33Tg2PGrhHA24aX2uzZnxOyANGK8SttRfv6VrKp0XpZ5W/c3jUkNEYWp5U7eM7KZrSjDN6EttbwtrbyNJGmdPX0YuACmHXgOSyDO0d/ZMJizmkoxIod+HJNV6SRJggDMNtsPeRjblQLZFCMWVuFqHXGRNjSk6Mo8CQpo3dt0HKEaW479Dx1EKgAlgiKAnbxNHj46w9UiloTvIpEv2pkZxPAlLJEIsdLIZdmZhPZTNkCRNZTMEtSTtGFCtPdmJVpQBBQBRUARSBYE+vowg95z20MbP3U7BtBEE3sWVjknzWURTwu0Gtl1w/20OubR33t0MCNiXx95/LDNpWnL538wSorGrEfCorHclRpOV7t4LUQQBF3gKRyz6dkrjT0NwsXqf2RBLVa9mFk1L4PQ6coXVlU+u5oLrE/fZM6S+ELiTV7Kn1yy6/pfxXOlpFjkJjr38XPfm5Ico2MDNHslxLXZV8DCdiItgJPnEy+hxWu7Q9yf4wEQiltIWhyRyh5buO0LP5Rci4520fc/1gDUm86/w9eiFYqAIhCAQBuk0nD+JzLC6CDl4cw3jL5CMOKEYsaQN/LqDId1lIMckiYqDUkJgkCMPGj6USzLFTPhKAunzy+BMIwp8yMsfea8QQ+dezbVxZOzcZRrizkcjZ+8/MKiBF6C5BZbUNIWpu9CAMY7MkfM3HcxFxPWYVNtBwYKS0rbhGOEYORIq+Bo3374GBJWbvfswiG0YWVHL+kZqV9S1h8JS0QtQkeI6GSAPexKtX5kCLB12Yd49aK5hS0PmwTtmeTcww5Y+iDTZeuyve2Aa7xjRBJJExNCbssOR4TG1yFscq2fGgggbeV2s0/MPyv2dRW29OdaNCb17Dr2D0MC+zOWn7qYEx7bZhfNnJL2lsSPpkYLioAioAgoAtMTgfrVm7NO+qIwSAN/Z5A1zoPGpvPuoBU5oqeej1Ax+d/8ncRKL0s5a82Hr8EVFxMQmW1Y2eTa/lmEZC7C4aLjQBmET9ueIrOME0c7xcAFyZltS42mESkaAdTI0sQ8Grve6peyq1/MqkK4KOzic7CLac4xG7+Y1ED61JxovAsRIsYxd3g5VlWHTI4btPNrv4jnukjDKHdzy2Xfn3ocY9PanWwqAvD9UMAr1ixaQytMY9veQTsDf8/oGoSy8gURGEka4DgiBf2Pc9HH/wUM6qt1ioAiMGwE0FfgwPupJU7ywAT/Dz3SNZlV5qS8xM2c5/CH755V+O3cGgr8Na1SwFmYGHBIv7zDXZ6m8fh4nyvv5G/E5BC612UfYrUcJLRMTQ6fkY6e1yVSjxfkCI1iYctxXp8RfeEZ7blG3p1F8IPldODrs6f/yD4uLeV933nlh2PksHSM7Wurj5LTElRJyueZfHlZu6BtqFG2cWK2hGcl+jFhCOxwo6QDyRweHbLbaTXrWeVGqtrJ9JCuCZ2YU3UUjZn0RLsIRyRRriaHgJlEC1MMgZ2NjnEVTuUUqjt7oRChpiEIRXBIExvJXDL7gZqckbpcuax4G0/X8Xt+mqVqQRFQBBQBRSBpESh6YA68Bwdp4hAxNr68HYNg4UDwCLaXjVnwspQzaSL5nl1vyuRjdL0/nJSM7jET55fGtTtNh+gCTA46sZoXMyFYqp5bFUbmEHNNByJM7dkgJMVgmiZin6EouRAmcT7Oy+g+3CydUT8SE02NhEU7HVztIvJFIRjHnMezFxmzTIx2IMdI5XiEbyPYg+biTsWjYyRMeOC2OnrUKcYxsiVIzhl2g+DPiZtmL3E47Hen1049bKCnnkmwU1/38RsgdTsOlHta5SPnynrXleS9lIj+wD5aqQgoAqNBgBdwuJqPvDD4K9VoZhvuWJPqioFC052zqLSqw4mBJuiV9IwHfIHGGHywYBxAhnuuEfRv7HqdzIoQnrsbvRyXzIZeVHxqWBL5A5PHC5ugZl6Nebc1FFzY5RMuSk/CpeHxTGJDJIsZlU6IH2/iuKaGjR19PSYyLJJjUUnr4hLMW1uXcxArXebESgvBGAg+1DSYf3eDurqM/iZMjhl4KIjdBoQPnLkYAUOkQ5KLFRHUEE6+cjH8eMHuxW7DhEvDKEreUSNxtC+bVHtiNh2mVbM7a3lSI4D7s9DR7BBzQDBCO/OR7WSuLtXlqAPl36ZPdAFhNnOa52p0Z21VBBQBRUARmHoI7P/Bn2GN8OnwOHQU/Ohx6tEionOzr7rkkRepX55ydoTzBQwJQkFSI/Y0t9ljo8uEhQof2Jpf5JA5rtdG3coNxK76B8JD0rmvt9fT1FlSVbMwR4ggh1rEOTpv72DI9htv1CxcU+1mXGR41bOrDK9oD/HMmfiPqChhFFFdOpkh0zaOq6gSurWfY7whIFbXc+2Z/+cL27/447SUT7MHYKE9rZP3IzuWDdCaH8OkBnGsE1DvUtZ4PY/T9e687pfAu+db/z1O8+u0ioAicMvL1RA1/kSICUaGJJAsAzavoqNfSreqooMaUkp6VgKDgFAQa+xhxoJ7pon3I+7b5IHEYia9ckh4JkzGUwUt75vjxOq++clX/2t3gOQ73nOMT7+DLceNTCv6DGQYkxdtaEZeveWlmBp4m9G8XEefVFrhfDiL0IxwjEtKW9E0sgDJx/j73Y3AGxgRj56NJkylh5cRIJ41aZ9kRQC2UHLisTnZORj7yr7l7/aGLsMl8mQQttBEPVMjkdGkWwy7OOEk8xtDO4QN1PrJiADPRn5SIUMIv7CQmoNLENaRIHq5nGo37SfPoognDHQ0aUJRQhLFb6Vg7MeDn8/YmexSDz5sVIbsbOhiM+c3ddWSbTbiHO5g1UB6MNSPioAioAhMCgQIRoZcWv0vF+Ph4lkwlAumzxAdmy74tqdp3cduoH7zRd/x1I/yIzkSoW6Qh3Fqpuqqbqh141IJcGadfUP/KcKNl870CTwpkdEETTvM5NBRdK5ekOMQd4ZdJL0ekdGuMk3+0ho45xSuNKG7gfkA7Qtfd8r1JAbEDCXng1dzU+ymyVvGWJzFEyPfFotgpBv7qn71JtkquMBEyDjZxuwl9IrwsctSziATKekrSx+djye7jRVnb8zeLhsVhTA2Ony51p58raebPUTLioAiMGIEEO3c/HJ/bC8xpyOeZ0wGfsVNvejJtnepm4LPTrkv5/pyeiXkkvGKHZMFREyCnzUEIzTjuUtK73ql7rc7G0gUKVbRLGPG3KItvnhtXiHhKyaLGgqBDUpFMoZheyqMDTHLG2s7eGuOgGVMmiAV50MWuWSmo2MsbV1c2go7xHt9duVRFKQgz+EXMULwAj6HqoPG5EZMokmQ1+ImD2/DhkHTCEtDiKu9/t1uGCxNphIqSTY2o8qPdpt6u4D6EaIblsmu1PL0QUD8sNgAknJWDF/CGGlch4TEln3FXzbPuppO9LGtA49NIcPtsH3AZHOSFNeMkgK5QOEzw6Dm7Q16nH8HibkO66P1ioAioAgoAkmIwLbLcZo4GX7JvzbokdSU82l1Ojy3yu7QXlAmuftsLs74Tds94yq7HCDyRUgbxwnaFiX29rbuKBCLDZps9w10lfSnNa5TWJ0aMvO87OJQghHFoNV9uhS5lZIecPfNv4m4ZnhFx+RlCv2vq67RoRb3FBFQj+Y2ziuDimRbspHCMoVCFa75yFfl6wO7yLEwpT9vAHwjjjl9x/v/s2rf3Y/QDYt29+s2g3LGmz8XmAoyzrVpN0VAEQhEgLBojEjgbYSieXRvU2C3RFaKSQqEkn1SNB7khzxvcZldSZnIWepFduJpGqePRG3jXk0gOed9+4CfNejd9PIh21UHvd8311bjNgIbSSsh3lgeI260bSbGaYWjnJaXZd5hmYT/DOE1NmHvsbzF87rN4XCM+C9IrDQcY2lbXp2TfwPhKDBC5+Y3DYYuUp9d5UTK4y0+rAtP/hsxrMvRzn4EYMVhy+FtjBSNPivKnRqsfmGBKGRXd/Lzin+saNgSI432n11rJhYBHg78woKKG4aQxIzsE55LnScC9gm/HAlJiNk9DCQ/dfGXsYTkM4pjadmgDtyIwHmukleWVsS3sI5o9RuO9ZIXFDG2BO/vaAjOOERPRsnzeWIh0rMrAoqAIqAIDAsBhFIQGpAhnlGwi3jd0oT+ymU/zrXJPToX3vcU9dAmzW4AcsH/fTwt5SJPH8+cgR/b95XULlmH4LCjsBzCMDAWuLuptW5FrqMZm5OKpW+/KLG3F16I+sBpIypR3yGJdCKjRbs4lF0MW0PEhJOriXvUvGlv3fLcE63eH6yhy/o5xpDY56YN/8T4mHs9uS45erWYOztbi6hnMn/OSe2NO7kiWT1tOyH7LIgSxTk998xbgFpUjigSQVi+cStSzjGa4f0//AuMIt8m+ULtu+dPoqi0J9SyIqAIjBgBWDJiTsltKLwif/He9UT+jnjy0QzkjR7fFhxe/JPcmONoLHEqMU0Qem99qoCrMDWJLBAQB2gsCXr2+YOt5tRQo9/ZUEPgtmBL4bSXSoj4lo8klmwIIjTM8IktwCfKe3HiFTLtPX3o0IRgHNQxEv1a1tYxQPQ8W9gKx/iWJwt+uLkebhyPVwSWoiD9eaT/jgdVIha5ETgHqQ7Ig8xU+igq3I0uOy3XRc49trc86OCLTEIACh76CCGZ/aiZSrDotcSJgKTx5OcM9oxHfGhmwBiaVhSPkgjU1FOA3y5u7d7ecEwEkHaENWwko+Ae/T+N8RhcVemQk4EJQsWAZr/P68o+r5YVAUVAEVAEkhABvCSgNeBY7LURWZx71tepd6ik3t6c911Fmcx7dh8YyPWn3kg9EdauOuvkjP+4FLbQ7hNPuXHNDrgdlGOoIqvmpDJt2Cgmh5+hM4SkOLbUZ+SRp3EE1if16ZvC2MWpKl+EN8OSGJkct0yOxSkfww289M/zbcDhbAd1jLaU9I03yGOZ/d4v0+qno+0ZJmOZbIo4vAjNiHPQEA3tiK5nz+0PATI5BPz7WSKgy59YzMRwjITnyxk6i6uMD9GIzqmDFAFFYAgCMHKzCls+u+I1SDzhuyDHCI5eWz3ouDpkwMAHFB0vFDk2HwMV4/j/JNODNvSHuyL/oB7ucYBteoMgZa5iQtw9iK98xzOO7BOeyg7Qrj3We+o/iqlH33h9ziEUKWa1BS3dt6xxslx+7MViLLDHEcFRTM3CeLeF5TNZ7EYx2bCH8nLNyzjYCs2IsQLR2VTaE22t7wJAYLQP7HVs+ajd319muqvcyPoLlpb5t5m/v9ZMRgSIlWYnQxLaUlWJmLYdohuPnUDE6PZs3dvUJYQzzBJCMg2Rnoz3fczXzI8RiBJtEax9CsnnGSiCNd0GIqz7ddewjuw37KvQRpo+dqG1G+WtI26Uh7CIG9mZyCkZSL0+tWy4tKwIKAKKQLIhECiL2vvtP8CE2HYSKAkz3noZ4Zwlf5grl+Dq1hxWCr8V+6K665pEjrU85RM4xYwsRBp6EMdnuJ3GdTthC+35/WXMoxsytzhE0OyVrdsKsOSgHKYi8w83NY5TM2n0fNpF2MUR0JVm2qQtAJEI6ghs55ZtOOdWCOTFKR8XpnHjObfZbsVoO4VjJNMmTj1yUdC/WSd9kf5TTL5obhkELMk/+znGzC1+YtD0jFkATAygiXf2J1FEzQiGWEjLJMiDuQt4c8ecUzsoAopAnAjwnpJa3vG17ENve6pfVocMDE6GjIK2d3PYbDiYEH8KnwN1FtZnDOuvcXMwZlUFcJ73bq5nGX/Ze4TTLS5thybF5MXEnY3hGmJOReY3pIl4jtjsF+n6hfv6+IvF6OsCJ/ndLsesBFpyCGsW2DXhlVwLohreYbm6wJPzkstL8YSvvLv3jSVl7ZhHwxB+YVXF0we86bIDF28q73Z5aSLxKzt6OfwiItNTC5MXAUghdjJ/7UsguSiV/icGyRihtWlyEjO29yBOppxbG/AIMrPhyU5Mq/mohWmIAE9C9glHxD+jVoS18+CEG1xc6gTp+zehDeBaNwWu2JwhnqQ/ozJc3SNqW7unlhUBRUARUASSBAFyFZJVT2x/EbBBbuy982GTOI6I4+1X/shEa7bvL6UPpEf1S1n2+rPeeQXEyOr/9Rk/i4iXtJ9IscfGLJNuTgyjoXciLDPMPJ3FlaI3wyGaISPmZxLp1GwWn/gCRt6IS7l9EIl2BDqx0nDIkMM0paZcQKi7WVvt0vVST0B0zvuv4u4L5Yi7sekzJQtkYnSkrahkF6/t9tkexXnJqBOB1G+xDcO/+l8vRjhqhL79Bu7/donfiijOc2k3RUAR8CBAJCmMoii+oLb+tKeZGk8fz0csNdcMyBrh+hh71oISoqoTIGwjPT6nu2KV1zOaFZLwilhjSEXiYZEIkt4wZ2CRnvUn4KP/DRG+i5UTsh0N75dWO8Y0mGUnYJHxn4K3X4Ss8ibrl9ZwsbznLnRfjekDD4m20FgYxH+WCe/J5gd8Dvaz4dvPXlDy+L4jE06cTjg4U2wBSL88zysJmkZm7L9SyHNMhCUxIyIxNnl1Z5TMGBkkfQiA9U+lNdMHASH9IqhmkS8ae7IDLY580fzbGgYUOYfpJvQ4nCTOREKAU0l4NZH+YQO1XhFQBBQBRWBCEKj423LEVNAdSNey3/0l10XCcZqAb0Sv5VkSOjfqYRdrFq3xNIkPBQMhqXADiek17Bne/7GvD0MNwlGhtjxCwRacXNw8eJCHwWOH1hKuS1S1DMFpemijfhqCQN6ljivx7pt+PaR24ENnWfWaD19DB9hjqMiB6jfIVLn+tJuMLwl8o23oY7pNvQK8Iuyis7XmpLbtLR7BBUp8NOH8nrH77vojOJNicbB+IP8A/umDlVpSBBSB0SHwrfW1kHK83URPA4/04K5GcgYKUSadIV72JjbpE8HFLOA3Oxv8q/3jAEFEIj6klf4OE1XDOyNrfuczB5A2Ra9hVUUHPa9cHde/7NFTjWGrJBMjCt7jw0uEqXiq8m6L6wEv1KsqSE/nMDDwMKKxGcNljOtUonoFfI7PrazAc4fdTsJMQu+puXBZWTQzPK5r08kTgIDwNtA1YedCiiaJGWPGR4sY0qOQDJtW6icjIR99RdpKfgyehGSC5ccvPxqFLp1IB/NgQRbLx9JY2tetLsFIMLWZU05kfuIhNDs6LtsM1IIioAgoAorAeCNQ/F/PQ2iQIBHLWsMdEfRKNkWXOJpR/N8v2GuQeOeyxxfZlVLOv/XBrHdcYWfwa9myz98ttKavr21fiUlzJ8Qg8cgke+wf0tdH/DX1tUvXhU7ia0A8WeOGVxM67WvUCgeBtn8WoUKEWDaaVT8uTnLF93yZrZJ38V2e1q7qBnjFlm0FoxSpeqZNlo8hlqHERze/kt+/S9M3x2/7Itd18NfPAGbRg8/al8mNQLuY/qZLQNuuL3nkRTrv/Nov7EotKwKKwPghwMsRcaafWV6OLFDoF3Izfn1N9UTleiKfnnhJky4SUojXNJgBidslPPajc4vOXlgaFoM8fihFz3zpyteA7qFdjdHdaIWwJeScq4jZM2EdEKzy2gt/WDlUG8NH3p1pQj9T1tZt68HwICDBHU0EhidsnaM5EcSREIloF/MOD4mcJfMkAdfcvjMXlAQSBaM5r45NHgS4uexYSPLoJZGYsSbWrhbWvaI9Xi0ZeR3xQ4ecPzbxOQair15bh4fATvfhyU8zFHgYYo+FApyfacSQhf1mk9XyOO0Iyb5oTnzshKNabDw+mIGfncNUSCXxjuFfQ1I4Jt6HyyxPC4qAIqAIKAIGgdbdByE0lqSc3vjydlNpCpAncIzEvTZm97e6TNTJqBwDozU3nX8H5hSQiutmXocxbv1qr/rRzOwv9Cc8nLUS72YSLSJWbN60B9mhQ+DMSW3Ztl+GwIDBZVHZfqDMP0lYDRozhpA3MqzDNK8nCBr+6uD9f4/GoeNAuTj1eELjo0dN0lb4Q0LF+V44+21Oau3CHBJykmTS4+2CoLc/En9eBrLb+C8WEyIw33blvfYQvjhUerKY0gEmk3qSMdqdtawIKAJjjgA595aTyy6jSogXCJY3P+ko614sbpvwt+CDrd0oyoTtlL9IFiUqeX/zEKZrzGEZ2YTEa7/96YJ4cIMj5YrI1jiyE435KDEd4O3Vo6shwlRiRZHNBCYZa+46gRsLycEmioiOH4ritm4i64GdMPYwCvHLrvPLnbk18U+rPScdApluIjvcXgJXXhcZFm0PgS3kKwPbY1dGlMVfJqMyBrcZMYM2JS0CxCzDIrIf7AOCMcfdbIUt/YpZ1OB04IE53AtBFS8DCeTX/ykCioAioAgkFQISj4mYKmxVu264H2ZjZcq5JGmkD5GbfDzw0yf8/cnTiAruwM+e9DfFrOnr66tP3QgHiFu0R7vVWVIlSRRbBrL/dRZV0pPY0kFlY6wTEG3NkKZ1O2N1nKbtEq5b8cyKmNdfcO9jbIBtX/hhzJ6TugObsG5FLnvGOeakCqctHzEb8pDbJ452OmZAbufmjflxOr/gsg11z2EirMseWwi2Wy77vh86TKtp2v31B/xNWqMIKAJjggBqQIiUd89yKBc5zl1SinlKQ1e878tjsoyYkzx3sBXnZdZ23uIyCjHdrmNOOE4deO0DRhyu45m/pK2Hzujo4umcgD7yaozhtX0uNDZi+JJZeZR3W2gZJFh2BykLbRIRc+ofkviaxq7XT5nnGE9/cmGp7SnsWQlv8ZCQEMWttnOPp5N+nOQIEKcsLhtbDx+zNWD8NCDp8sgBG/MS2SB8KSDeY/Y0HUTPFjN/gumvhUmHQNPxEzwJUYOTzFOso+TRahyoeYKybcgvMdxLI+EtA5k5bCCPNSTla6uPcmxvQEgZr7A2bEKtVwQUAUVAEYgTAdfzd0ag8opw6R3X/BxaY1HKKfu/92jfcefhjDtwIL8E10eOPtgSJF5xntruRmQ0/AwsjUceJn2gB0UkZmwvmtbupH/d8vWB/e2ZpQyBCSGJZszfpDUgQNQzt7Vm4ZqYaCBipCdR8IES1pjDJ0WH3qOdkl+RBJ7ddY2yx4ivh+tmywmR2Lh2J5vKvhzHrNx1fmnZ+qpd7ym37io0NXu/+zBgrp3xNcKrMZVekfLJ5SlnE29uOpgCXjD0xF3a1GhBEVAExgQB8jj9cvtheDAhFfk7Y27RL7YfRi44JvMn5yQ8vGYXtpw2v2T83u4R+AEm6rh4EBAv7BtzDsXTOQF9yOVFBPSJoQ95aBZeaTHFYAESA4gax08xwkPSDfJkTNZZ0HxcIgGZUw4+RhgoxHNS1JVivoNMF+1r9BBuCvdxo/q0RsM0yVuRsKZXOnozBLq4b5Dvjsx4aHGp4YsQJnC1L5rYVTrDvduVnjLpBTxmSeP3/PGcWj8mCQISRw/NaIKdhdwe8t/TsdZKuLRszkC5LGkrxLpIHpjmLycNNDOKdTZtVwQUAUVAERgGAoQbw1qsSDnHP6b6xUzX6uXknA9cjTSxv0NvLxSfBE3b5hQ4gGS960qm2v/9R/1TxVMjArAwRSIkD7IxiJ2GzC3C6hBPXbPAqYkmc+xT0x8dml2jZYPA3m//gdvHX1MTUch48+foPGXjzfv6IKLxK8cqOhAEaEYRNDpZBYa+fnYfbsYUyeNMZE+CJw50/aYL75SB6CQFzNwzbtny+R+AKnlQ7f5SRuu4LOXMzLdf7m/SGkVAERgNAryJnDQgWaTw7dya6UCkEJNIYj0hVH+1LeAXjdFAasbCvCEHJXEl2SNNZWABVxQJSE+wb07gYkylJ8YZYoQXVdKFGdVi3uFj1CDx8lweH6nPGTXBiJbMQy2aN2UKNNliM7PsmAWWd222k1yRI567//2NdfRMKvOgmNeoHUaAABuDxJvGvYg9xm6HSIfMiWc2kgkwBJ+XsM5kiKUDSUqbk0wTHrZgrR8PBBAWwv6R29b4+2RXOz/ckEAx/tPtbXIS5AYKa3luS8j/ktfaEE+Ss4Kfuqo7esSBiPOyyeM/kfZUBBQBRUARGAECmEfjHG0PREAlejaanNDpXidXOVGfhT9/SgJjJZwWmnH96TcTswlbAmfi0FN3PuzhW+xpI8ooxKArIQD9faAToTdhe0jMaOSL0g3WkXoOPFz8Az01yM/oGXgKT8/p+RGujDu4+l8ujufysSChc++x0MCEeCZJ2j5IcCGumzfuiVghFtIiqW0eCNuP6Gw35X/jt0C34exvmkqSoGLMTSVH5ts+7/8GkeNRAI8ngN1MqwVFQBGIE4Hvbawj4yKhrxE0GAFWpGHESPrDLzjiRsJL45w82brtbjyOU7CQS++dU/g/+47ERx6M8DpuW1/NuR7fdyRiPGBiT0M30v1FdJvwJqFH7KBpfl/a4PqfitWOWSEMJC+/EDWmxi7wtovNLu4q2JdHEzerXEUZU4UdcIz2zHGWf5xXLxuAv8h3Y4666xWHYPzTnuaYPbXD1EAALp3IVlxdPAre6KvLd309TG49u3NvX58EtMIuSs5Y9n/8qR3tqbQ8NRAwP9NwOdhJ84hDXhh4afyMklV1lMev+QeaBy+qWoZU+VyHaEp381cwxJ8jl7SQhPATju358SjwvFqpCCgCisA0R6B1xwGOkYGQ8dbLYDaQSMlwvKGXp3yCGshDHC7MnEizqETTKDW7bnQSM5qDOOt4omvNbBSICXXkiCccO7BuN0EiORjtDpR72jokMSOKMqKkpZVIUnIwStnhHmetxHDEk7bRO8+RNol4DdOkefpPx4+9vcTnckMDzcE9gNDT7ARP0xT4KDblZr+FXRHfCOG9T3SG/l7vH8vXCpBrl663m9jS4u1CE/ZJZGLEjxs1L4ZKhb98Oi3l09Rj6W4P0bIioAgkDAFeiv/9if6sjMLMnDy3iHeihC1gTE6ESvDmlw+JIzbGK/dtPRxTWDj680ImvO2pgg88ezAsDreyo/f0+Y6WkhB1yvYZidNEaDeu/Kd9upjltW58tIcVgTmReihoMwNSHF5+DesInSikCh0IEeUN1xCGxJP634JlHiKjTbeIwnBjpZ/YfwS02c8k8Dz1H8VmzREFSHWGJJtBecSCtWlCEBCy3f9ghMwRVeTy8nYyD7A23IXY0nzk6zMhS9WTJhsCPO3ZEigbPapsSEWSDNO0prrTbBaeotSsKA/I9gm/TVMqD1x/6gr3mhHJ08HzNOs8MVl/MUy2+6jrUQQUgSmDQM0/shEQEqEcbC3R10ew86bz7sDTedMF34bT81z45ou+A32BfTDBm/ShTBa4sr8s8HTjoxAd3XVN0kT/ogfmlDzyYkPWNn/nmDWNOdvgBo9VOK67fT09fnkh80sgKq4ZoqKkp2MhPSe1Pq2fikTfKAxkQ5b3uswCkEc6wdSzVw4Gepu26VcgrybZ/LLeeQU0Mruiel6mwQBqkbuPbLVtT9RLR9XcDLphF24GTrECWwU6Op6LIkOjE6S/ZV88naWPm/L0ZD972ddzoug3s+QrBryeY+dX76ND/GfRnoqAIjBiBPKbjiPZMsN5AYYfg2C5JrOK92IyOEm2wHMWlYa8wZihyVIgfxqiNYlBxq0DVWG1T/gxfmudW9T6v5949R3PHPB4xZLwn1VBP4It5tFVFrsIsITuslSaHt3b/58c47fCOGcW/gQXaU9/KFDUMry0ouCSJqFTJMMYNhlkGCNdWE1nb4H78ktPpqpo70HERRmZYqBOLKZ8kbHO8BDZj2eR8jG1vENQ/fPepqszqs6Ow1KHF3/uAmLXwAm1UhEwCKxylWMegogUebA9bFS+/sKlw/wQu0qNx5/dzKOFaYgALLTYCS0va0NWjYCWJy0WLUvdrYJe0dYcym86fhct+hDUz9aqCfdz4XG9sMQxrTbUNv/c8JFn+DSEXS9ZEVAEFAE/Ak0b/kklSidJlnjgx3/19KlfvVmCK22+YsdVP7XDMOlDKzPALFHY/OnvhEUcC/sRrRX0LCDiI/HOTiDqQISpcIASdQvfiN2zI02cl+Fxn4FRhHWEYzRsKipHaowYMvCMXfVNxFMHNk2rSjaMicY1WwKXcLHvAQpJA0igNAq6QGSINE9LuXBJyumdxVWBHaZAJcH4tQtz4rkQ6G52ac2i2M44ZrZtl/8Q5JEsmhq7wK4mDprvYM4Hr05NuYAvL2kHbFMYu7OWFQFFYMwR+OOe5jc/6VBeJk0TLzt8JD0jTJE5nQSNPn9w2MaXZobEFLp73yCy1SSZJMrb/1KWgJXAawmRCFV7VXrl9TmHUC0KzmD7pdWVkG9mGWhPLlpWRj3HdzfU2e+Vps+EFDDY5dU10CMAUkWSJe4/clwUMvbrKqGmqBbFkoAZ6GPWj980PU3on6mnQM84D3tURJng7v982tnb5ASg2xWrKtkYEf1pAnxsgBjyo7zYiWiip9LWKY8A7jCIEu3LxMBF/DtIbGt+jhGPdbLk2T21rAiAAHps2D/Pc4/NYysMydxIBzab/58G8wsOrSTIFbmsH1iJoTZPXbLqMuF0yL3sh0JrFAFFQBGwEThWVUfmQ5gKCUxGxEiZVIp2lkI4omUpZ0Abbr/qJ3UrchGebbvyXqGV9t39iD0bNi7UI2mjj11vl+FSFqd8HHGjXTmack9rO+SMsXVuXLODj+Sj66prdMhGHKXTNwcGn9YuXUer4cRYw4nWIf9JM5pVTeGxoLQy5dyFKTNwcmGfwBDu/8GfJXnmuo/f0HvUifPlLiNulL1U/N8v2CDTyo5a86Gv0ErT5AUKjpqvT8T6q+emwzFGdLCbsI2OJ7EneRQ3fur2tr3F8IcAKD8N2PNoWRFQBCYcgS2Huwgd5YCBMYGrRGZBsJC30F4emkC8S+Be7MpkK79U3EYoN4vnQG9JoNkErpDXt8vSKkRFKUsSVPMOD0YWszz0J+985oB0OGVeMSo7bHdSKzomcOXm1OJhgczG1NgFjDBEqSUvvw3Hh2jORf1Ik1E5ylg467AYcDrHedjLCCtD275/jiPEBVIhyiUTIwLFsCHUi70LN8Kw6+z8P+Q3OslIny/6yAtFfAVwYFcj4AgMp0mTWCDZphtsOXge9rDt3ISgcX6JozGz9wyhr8jV+O0D7p1MDob5mSbQ6WXaCPBjDRHQuxq78uqOsR/sfSLdaGL/bKoL+EfBZKuQn3voBo9tuXL1n4ddSpOR2oojDCfivDzekdfyzxCCW/uXIHuFWlYEFAFFYEoiUPrn+RB90BSo0Roy8uQa8z57DzVrZ3xN1InYOiNKXJlynifcteJph9/gIG+hAadueS6806KUmfCQptJTKPi/jzMKSxdP/Wg+1i5aA1VIMkYmIWjUyWjnqhMhbaBiwmauWZjjEIyu9UxYH633I5D/zd957jt94HUl9eL6U2+UG8HfHV/5mWwSOGfKBMIX3PsYOQDZITj75N/6oH/ySVQjeTuJbkYoG7jsuuXr2WB8gwJbPZWwi6Qg8FT6Pwr4i1M+tu+uP2a944q8S+/x99EaRUARmFgELljqCOd+vWOIqzLMGJV+/xF0d9Q3JKXby/qaY59a4timcHx0btG84oBcVRMCNcHAmOmQ0xI1HVSVvQYY3W+tr5U1I2787IrXbnm5+mvZh4Rv/M6GmgmnHeDlVrrBnrWW3tK+BDgW4vt4dYUkMfWQJxIKjYKRg7dX451q+gQWmCfOI3C4XQnUUIJge+6SUsOcI80ldB2e0HMjzMAfbna8YEjaaUjIB3Y2iAaSetJ4GrqYAGpEQWagFqYhArj0sl1RJ8q1wxbyETcN+7tAkzDttlqMr5XExprdjtyXjKZ+fZoHVXZyWJ49T0/9OJUQSK0ItndBIguhzTNWfrKBMMRXSHTjyGjZmcbFTWYQghGVIxuP34bkKU1ZWHEKDJ9KuOm1KAKKgCIQhkBHYfn6025yyZ+ZcH2iOpPOXTWNYs4i6rKdX/uFI2gsKPNPhXyRGRCz2YngCu97isplKWcGJlSE92M29JBhoZ3+s8RTQ3w0TI6xkmla64RFYyeNRW/Y8J7mVvpAAYV10PpABDpLqhErbv/ST/yt2AP1c4yn3SQcI30Q2mW8xXH/sQ/8gJrW7fLPMLlq2veXIlBkF8ExBq68s6SKVthvO5NAYE8UtkTr1y1dF9hqVxL7zFdMshBA0kLV1qdtsjtoWRFQBCYcAciTd80q9LzYYvULnULQrmd5P9tymHqCfz31E/uxoKVbmE/WxrUQ8U2UdPL/j5T7GI6wZigvwqJtUgJe8acu1OcvLZtwOpfMYLx+om/BjdRGlXdbyaMIWYc0xjRRj20B76pwqtWdPWL+Qj6xjjDZohk5piHSl658DWyRs3rkQEIhos41CQHk/HCPCB0Z8uYnX3220MkDwF2A76WGg4JjuOB25Y7cs6nuLU8W0DMtOYSmFoRaTBwCpMtjn7OR2BhozyhDtvN9sVcAMy/fBXv/44VEJV8KFMLsT/Ye4jEZ7s93as+GDg263u8pY/fR8hRDgN3F3uDg1xzPpZHUl3pP6D3C8r1NXWI5TStUNsJaCqR2lOFEUvORg71EgDYKW+rhrtnJLd39u5cfifivAqN49JxXPyoCioAiMIkR6O09+Ku/C0GR+fbLA7mR8icWuyThGcRjkr1ty2XfD77e3t6c911FT48vLeyTyybNwFECEkZ8VRpf3r7z2vvQN65M+VTgSYNPEV8tkaoOz7Nup3Qnvx9JF6kxiRm90/T1kWuRDnGqy7zDp/FnCaLvOFAeiAGxz/0c4+k3G46RnhDaB3/9zL57/oSvMciPVfrNwDUkshLXcnyCThwNjnRjJaRVdPbhK/nRq2rbfZBu8ZsHEZa+8ZzbhLMl4QBcevT82qoIKAIJQ4DXE8gTrHU9Z+TNAhEXRrqe+jtya+ifPMItcgOiABQLD6RlONGEKdM8FzLhHx/bd0S0cIgtkZEErgftHGjDPQa2JrISkkTSyhFyDvkMr4Laiho4N5NlTtYDiUglr65kFTPMHvxJWkV7h+/t2H8J8Zq8VMZOEfNicRvZLwtbBplPOR1v62hEARZ6EOsfnF9+t6uRGtlFJAGQt3W6fT6tgm4EWXve32UeFLMMgZ8PTFDpvzStmXoI8C1gq7PP11Q79CD26Cas3lysBK5iqm5q4H/ozCHEjqnna4X2DFreU286QNczCoWknZ3PtGphCiMgGRTXVR9tHaqBl9yMgQ8oGELCn2Vnyn4joS4QwRmKXpEmzw+LAiCPdH78EqMZBvLTEhJcxLpTGF69NEVAEZg+CMBg5LzfoQQJsSRvniczno1D7tnfoBskxup/vbjib8vtJrsMoSTJ9+pWbjD1jsjqF38bEFk5GR1XpJwjZAgW1Xg6m57xFnp7W7a+2lU9JNzMHkuYMxyLHWHafbgZtSSkDUnqPHRWb3ePGE/DedqTaDkeBHCL5laG2fcwA3dKFLC5Z9wiVjvxTDsV+vT2Nr2S7yEb0QOzM519CPvNf5oE/Q9zJbYulHjE9zFo3BvscHFlgreHvbeFxIH9tVIRUAQSgAB0EFGfREn7zwU5g7LOpo/aevoko11J28S/ayAHwnNZYlfhQm/MOYRIw74KVk5sL9YqFy8vxzgYrSD04/5mL91kD0lMubHrdaO3vC77UAQjyt0h4x9KOc+lJWadnrMQasdrrLyomr9oY+zYZ15dpQ/CGI+Oi9tBaCc5xKJpxoJmRxIW80B141le4Ec/22O6wSvi8Q1/aA743lvWVKOGlT4P5zdLE+HqdpI9MwMFdiB9yNloV2p5+iAgXLqkIUWUaD8tBQSodTYzLjC2elcCq6Hc/UCJYUdY5lhoH2ZDnGYG8m3yCHFNkxamEgJoF3MGHr97mwYNs6Ca2RLROmoe0Tsbu+AJIajBRPYYPw9BdAdCJMZe8NgE9W85fAxDLnkg87Q3uSYCB2qlIqAIKALJjAAkGxHNQgZCENl8YOCykUjh8OuygjNRnQX2kUpywdGNLI52nDVNxNKibITPhAMhJpqI7PInl4RxLBHz09SQ5agNyazoKBJDUiZKHxRlZioISeF24GFgvToOlKFXRDzZT/iQOi+E8DEzaMEgUPlsGkJWvKGLH3qO2x3NzbZs2dfPMZ45jThGyHZ2adXcdI8sFrMh4bqJle4s9rLr7FK8YEgW2vlajUE7/gJmOrtvecDNaUmygk+RGTX+sdpTEVAExgkB4qDhGP2vxmcucPLXVXX0BxtTIKqUGo/zyzitKua0qIYQm7GeS1e8trNh8I2bgbw2of2DIKXVfyBLi+D0Yp53lB1yqjtlYVCjswtD86KYs4iI8b6th03NxBZ4V8UFgMME1pn1wOatGgjz9COMVEaCQAN9CswkFGKKGOlg9x9xGY4aS6D/2XcELpG/tvsqukf4Rojrn289TAGOd17R4H+wmTPiA84Gg8E2NVqYVgikVzqZ8TgCfeoJnIZpp5U4aBsWBIpUIlYM1I9BBNEawv28AW9vP6sl1NokgbTPouWphwBKcnIkEndgLq23r082jP+Ra/pIgXQWwidKMsaw32jQY7P90J/bMloe++IRwxM+bGd6TqcfFQFFQBFIKgQw4CDrHbwQqkJYCAqbzr8j5gqLfvcsPTn2//AvEZ2hLiXJ3tj6tthnRBLpZFmcvRICp3bx2sDMiu0FpbR6LF16j3Y2rtspAx2K0j2QitHZnl/LEQjAFuL4IzvB/N180XcihtDE/ernGM/6+jTRMZJHEack2WPoZtm0BiL0tOxbaSLGHDK8dUcBckeszx1DoudWRShCzSQU0Dp65LjSCtqSrIAbhHA0MGOqPY+WFQFFYFwRwA8XkmRhidcSRQjG/AGxhCSjQ81VPPRleVzXFj35MwdaVvky4OGeScS38IoYAT+yp5lLoBLKCNHax190ch6etaAk8NU++nSjb4UtxK2bBZy9sNQfuhs4P9G79E+GKOnA5ZlKBDbiBYOay58oDN0LGhveWxHhxLSoQAZpeBuGeA7YxQSkBbsq3TEzwmSHC8Tt5aRZhXzkXpjrNYX3zC6cOa/YfNTCtEIAsoXYZwJRA68a3o/dGxi+KklKjZGQPVw0wM1dg/9VZrfaZbI1Mj9EpSds1u6j5SmPAD/3sA3CfriBgSQLrmEFRT2LpDZYvPjGG/lNzqbd0RCQtUO8iiTOesqjqheoCCgCUwYBBE67bryfCEqHeTjzFsKT4TSEJkKTFuMy+/rWfPgaOq/+l4ujlYfo2dxTzIRXiTHnKJpRgklGO8cbevfBgR+O+mck7yIEjvHCts9D6CiMYlv+QVgdfDfCPH/tIVoWBPBtkVB3xKiY/uR/47dCG3K7IcqiURrkGM/+RiAtFj18krZCcYvzC3pFmwlnu3YWVYpxuTCNzt/ZK0nhGNPwCF6x5OF52HPj6sL3Eef3zP/zhcKfP9XTbNEXvb1FDz6LVJgOJCXgR4HhBlxPUsB12YpAEiKAFBAFI8wbEdBmeTBCog80afSg8q5Or0SyZfokYYG0eBL3CudDgYDuIaGJrm2H6DB/sLk+8ev/+4EWeCpOHb8HjaQBvOuVpA7CRTzDGyuvpbB//rA7lDDCPRJhx3bCywYdjrXXgu8DAhuPlJGPYaqb4ClGWsva2PzkVzSaxoOt3TPmFnHvbl9fa17VmZ4vDD05RnoqHTdlEWDbzy9xtIgNQz1f5IJRz0qOO2JXbQhQJxKayijPLyDQmP7NT8pHeu4aOoM9m5anAwLsGayF2AlbG7psdSvXDrsoVDastegXeQjT084I6oFoe4Pj/0JyUU89H9m0NBmnGH8HrVEEFAFFINkQqF26Pi3l0y4j8Ynyvy42y9t2+Q+pRMrYE26yLJ3b/llEtkY6E+NphgcWdt0AjXkyvEdfT+yfCANnMJVksWvZtp8gbg60l0SeQpP2t/b2thKI6koZae1pHRLUA3eKGIx8jGYqLYwSAVf4OhNgzTzHymsljSdcVkxTkuZN6BjPRlw3hAozc03Ogh2GL1fgofIgtPv1ijDhe4qGXGVfH8PBEPMjTM/j4V2BLvu9Tt5UDjAXDx3z0WMBf6yibvNnviutGW/+nCdYe8hK9IMioAiMJwJE4EKewLyJXQUUyt2v1FEzuaRZ5DaU6GPyLkKWPuRq/8iS50GutacPZSNBr4Y79XQY14/DYgPmFbdxFxA9BgZgmnV6XipNfWIKsHDi/0KqLr+2EO7RmAUIc8IrKgdl3mFtsi4xq43nLISxA7snMSnO0aKMhfI1VDw58ej52RWvmWm53j/taTYftTBtERBihyx2BgGc1u0Nz1aRLw6WviYHEvpeLJ+yq4eY8dHzJZd1pGBmI/Ui3yNCsGNy9WaIFqYqAoQwS6ZEEntiFdTc9Tqh9Ow3+WWHX3/gBrl2tOXsGSSvESZBInHk+WxvNoObPMwjhpueWlAEFAFFYMIRgF0UniHv4rs89igopsR1ZfuVP4q5TqRQzJOWcuEgyxc0hta0lIvoiXdMUHu8dRAykiPRjmtGEta6q9Awh07AKbGl5Lt7bpUd7EyiRSo9FxvvibWfD4H6tE3c0D23PeRpQSwqQdNw1FDQnlbPR/jhqcQuwgqyM2G5jaa3q6oO+v1YRa194U5Q/8Y9olSsX73JNtS2u8Us87USFfGWz32P9KESds3vAhCY60+/Wb7gWSd90UMk0kpO1Oz3fDksYWnM82oHRUARGCUCMFQSE0piwE8tKf3g8/3ZC1eUD/ldbJRnGe/hX3bDWi9Lq5ATkRKQCwk0+RVvjj8mNxH09IEWTHbgr+7Mjcp5C/d4xvyS5WUTc6fwtVjopozDkNQmT+QWNB4/IRQKUq4dDV1QItSQjw4KhZdcXnUzqo76FY/jvU9izv/4viPA7leNsqO+klFFEyH2kpuUPnykv8wJ1QPZSA1JHWOeRTtMYQTQ6LosepsQO1wpikRqSCBgXzUcjmjPYCMH5eMIrYf+ZiDp7+AhzVi+azIQExlTqYVpjgD/Fog9NDvNHBhPm2yKErNPpHM0UDyfGc4G88Tpk8WRelzOo4drqyKgCCgCyYJAby+J8mxjZXthFc+sEHaibkWuXe8vo0hEl0jnXdf/yt9q10Br0C37vSOnNYSTqVmQTZwpXs8wijAzrbsPchVwNbVL15noZpqQzxErTX1D5hbS37ESqEU+on60V6XlESNw8P6/4x4SmEHR4RhPvpbb7XCMe6ZRriR2Y7+AdkUuAlrAYXNCdHvEtII5SkUSfrIn+TsyD5e8S7/nOERf90vDZ9p3k4wE6f92idwFvjt2E1+ckdi121NoWRFQBEaHADHRP86rl7BoGBKkgEsniLMa2XXgs8yy3z2rEMrLzICLCpXfWj/kJxVaeYGi/hvrqk3PpCpwL25bX80KOUgDaDMPnnX+raDlbU8V0I0kgcaOx9Nn/D7yvrnEZRd5YyUWz3Mi6oR7RFrjF8MQN4oYhpffoVSKZ46J+SgKxmsyq/yn5yKJcAdwuGv0pYRRQwKL7pfOkqeU5KWqKvNDN61qCEGFirEDUcmDR02uj9uBgRTTDWJXAyGqdrlKvkq2JbrYSZM0IHCIVk5bBGCe2TDo5HF/3nvkOA9hAwVPWvm5x/4n0rTaBXqivBUu0cNgMyFJGu3OWlYEFAFFYPIisPFTt0NNoHSCLIq+CngMN/nbjMbs7dE9q+ZmeMJFo/vbre2F5Q6LuDDHz2gRSVq3fL3DJaZvtpkWYlGl3iFwyqppQksWkzK1T6rlAAT6+si12Lh254GfPYkDeEAHtwpx3dqPCsd4rsdbJ2zI1Kjvqmms/kc2uxFeUbYfssawS4Poq0/fTGcOXF1s55ewIaYerxa+dzkfvNrU+At8BXLP+jpf5PQ3XRJPwLV/Bq1RBBSBcUUAIghHZqgqvxptXM87+smhQ6F9bnr5kD0VdBBsDxRQQcsQnY8wSLesSUaCEUsacaJh2b/fHeAqYl+ghIFz4RcuK6sc8Pu2O4x3mXdVcv77yMU3sL0QLQ3co5d5HFgT2sWwpoEuE/P/REMD6enzS8JO/9i+I2LWQzeMe6SbmCXBzGPfg3lHeuXROH18ws6i9ZMaARxY7KcoRA2MDTpe/0XBMYrZtD/LIl8Qgl4ZaCdJoD8cNpU2feSfVmsUARsBpOPsGbaTXWnKRmprathyojOH+vZkBDV9tKAIKAKKwKRG4NhrNWIJsfuWB2JeCIwTJAZZ3caPxIBaRBsWqARjeSRmlNBprEOGrLavD1GZ2GpgGO2QObNXjt8ih5x6in7ASYd7zd7Yd8+fECjajK7nip0A3o98lc4rU85r3xf64uAZNQU+Iq8lO6jQhtUvZcUk1Qn8F7UtKl/b+SUaisJfPg22Jb+fG90NQj7zbZ+nJ/cruqe2KgKKgCIQPwK/3tEA2/NkQX+wqhmYUXmUeqKnTQ0FrKWpxHLFrkyGMj7Xb3UViSfPLco7HMBFyCKhF1CYoKA7f2kZIjoivpNKB8ibrKSMQ0WTDKiOYA3nLillh5jYZ/8MxKRjjfTpZeWC/CxXK8uQTywsJSqfghwfe7GYNGie4US8kpHgC6sqmD+pbpxnnfpxDBGAiofeyak+Gjin6Bv95A8cNaPYQvY+2eSqyxBD8nsQCfewicFHOKYsLfC8Wjl9EJAkjfhVBV4yvwSxzTwx0eTXFX6bZCmepsBJtFIRUAQUgUmHANwFvAQqqaZ1u6IX33v0GF7SdN773Yeje46sFf4QuqY+dWPgcCfp4qI1Toe0jfT098FmF88XIXz4i1W0v4/WxI+AJN4U8/FoReiJ1nZJEjjdOMae5tYqN0Kf/YahdszMn/CKsIvOFp2T2nGgLJ57seOqny5KOQWNYszOZB+lJ35MUL4xO2sHRUARUATiQeC/djdC6QT6a4htdG5NP9lFAPJHXUdgAlnjmTkxfVDNXbm6UlgpTGpwogk77+7G49CP9ISKvDytIlATFTY2AfWFLcehRDhi2tlwhbztwpZAuKGbbekereneGF7d1voubIAIP/fDa6ge+hCYz0mzqjrf/KTDKNKfOwJ9DVFMbPtHXnBuE4fNe4vQUer5+8mFpYmPbR9DoHSqOBEwWRMDZYe4I/GVQTBmi3qRjS1yUxDINpMTIYyU7xdcpRTMX7igmCxQ+dFuv1YtzkvQbpMagebu11Gbe9J7mita5Qpl/bks6C/G03CMfg8vM1wLioAioAhMVgT6+tbNvA7aMPPtl8dUYcHg0ZOkfNh2xHm9OF+05h+MpzP54uBeAtMntuUfdNRfGPIO+IkQZ2qSMdqTOzqxZ9MaMvP8QdZ2Ny3HgwBmPS75fPL6U2+M9gpxOMYPfYXOxFNjjhzP5JO+T2+vYzM0eyXB0RCwDm2I88uOQeeXwAt0nF9eyacnXs+BHTyVu2/6NeR/nHLcdadczy2I/7vpOZd+VAQUAUXAg8Ba1/kXjs5Tz0cYuTf99VXMa6RJjDnwAvb3nKia7KpO8b8mB+azhbF/pmGdZPlLwrC1vU397CKFaDB5kxVtjKFHKKB4DOVVo6cbh9YlZe1EqcMc4rFe6nLR2I5zd2bMLbp9fa2JfiUbnmQuPW1+iSdfGVT2DzfXn7u4DK5Sot3FXYg5iW1HoSo5Gz121eNwKTplUiAg/rykHsXqyLMg0TeuKB9inwG5zZciu2qI6DGzqp9XJHMj/DxmwTwHYCAh6rFSWlgSFTeN2Qd9MAhWF2AP/voR/pDNhs20Hwry62ZWOrvOzinq76Y1ioAioAhMUgSIbF2ccirUxP7vPxrzErZ/6Sf0jNPGBd9niBfimmPmeOS87QfK6Ny8aYhRBWJFHHipr1mYg4hRlodyDCVYZ1HAKw8dxO0l5oVoh3gQYEtwuzn23fXH6P4oSEkVSE8sy6N7To3WYzhHz0ltgVHkf319EOPQhmxUyMaYGsJ4FInktGSekkdeBFK+R/GAhtk3ncNMneKZQfsoAoqAIuBBgHBUqB5S3Hvq+Xjzy4dQi8EOIQ6kgLSM4C9/t8TXwFP9dMth+E9WRXRtWPxa4hc2gjPCdfASyoGIMeZwlFoE5RHAXtPZw1stORshUhjL3+TRyWw53AVtyK3hEDMdKROZXtzmRBoiPhTLdbzL2w3nOPTiD7R0i2JWDKa518S2my6/2dlgtLWmUgtTFQEoaHKTwvLhlGFYvtbu14lOZfPbol8YeMkzwNfKoIEPu3zFNtZ2+KVoEJgyOd8pM8Qu8I1jONkV7EotKwIgIM7RB0Me3RUdzsaDZlSsFAFFQBGYkggc+OkTUBPEV8akMuBGVqac6/AYL2VFQ9FeUArfAhMYD7vIVF31TfRvyNpipiVFZNXcdCqbcnfZekXCn6nEgsT01ML4IUBaP243R9nji6LPAse464b7Y9Jr0ZNMolYnlaIVeEOINIHS7EwY9QjPl3guEC0xyU5TUy6o+NtycmDuvTOupAT77n6E21T+1DJO0d3UitwXKW/NP7KgHGHpsVyPP/djPIvUPoqAIjAdEFhY0gb/Y9Li2ZeMwkdyG9LhHc8csF/k7W6JL+MMC4UF6YTULTwqOnRdBFbbbVzXdzfEpTm3R8VTxn4C6o+ATQ4KfjcKmQSClASM8UxIH49YkX+jRLJFxHScMySgW3fvGw/nNxP4/N45hTPnFV+bWcU2k/MiIj1rgUM/nr2wNIxdlJ7o07CMEXLyd7tiGPck4KL0FBOIAIRhWkWH8ITLy9qEWuQjGmwTfc/y1roR0HlWFlMnyNrlIeEJw9Zf41pO5wwVPUrn2k6HI4KB1BDpMPSmc32VSyFiNhQoYhSCcU1IBtHpjJteuyKgCEwNBIjczDrpi7ATBLpGB8NyvTUL18SjkpK40XjEWoIha0ADBjmDfUZ/JOmsldVz0/3ZFLHlhcYhQHVqgJ8kV4Ekr/Hl7Q1Z2wDfsyRhrsjHWP7XxZ4m/WgjADEIhmxOhwBfs4OdbLfict5nEZJ2k6fc09yWd+k9wusuSTmNKOmY7u3MkPXOKxjScaAcMXD1i1n4quOo7vgizUmrnJ3Kkvg2TSsjHg+q+lERUARGhsC3c2ugcc5ZVErAoPBXvJXLa/uP8+ppIh8j70pm8sau1/1Zp0xrYgp7jxzHcXgE50ot70Cxubi030OE1H+E4nKNTxWMpXkNekLRFgolYv6OQGqIazTBodE8Kv7LnKKgObYGcgSIjeEQ9hVR9qD94eeLAkWz9rlwBpcwavqjU4UFslu1PA0RYM/AE6J7hfHLqDqKoNFmF4XtWVjaxg8QBhwCVPlqQEhGf4OEsfTTRDxkGE5Ev5lQC4qAjQB7QzaY54HGzpTAfN08NlxaVgQUgSmGANbMJFeEoCj6zawxuTTxsyCcOf7ZkC9CgzRv3IOLMQX8XHqD/FzIr0hr3fL18c+sPcMQQCa645qfuyyWI1PkWJZyVt4ld9ev3mwPIUTabZ1Z/oRyjDYwAWX4PYfWI65/QXZXTb+s4lh5LTXDSpAIRZ/+b5fITUHHCPcbcLKBqpYt++hJGsamV3YjpAwkGFkAR2NO1DwD8+n/KwKKwIQhYL8UT9girBPzPv7FAasUJIuEr2KyLOnvIBL/ZjFvS8vaz17gSAeFI8IjZvBN3powmYuEW0JbvWtWIQ4pWBJzIRw3vXwIZd0YLjuQXeQ9lIOm+E+E3S3m1zIQDqQ4xMyUhHJQLiQEi3/mCelJGkbQRg0LPxy9gMqOXkmwSYLQu1+pk/22L9ao6Dm1dQojwLdX0pPamwTZoXx9bMOXQBC2NzgUvSfZAhH9VJL+MSSOP3AmrZx2CJA7V7YZjCJPNp7SGJQLNR2eBGLaoaQXrAgoAlMVgT3f+m84Crgm/FZGf41kU3TYDCuQOabNLmykJLIju13b7lBrmG4Jps7IG/0ip/kMDZlbVqR8kpsOf7XuYzdsOu8O8WpxSa0ZRObaakY+uvUzJQh3ekIHIHw78BLCpSXCFAnXGwhwh9Cb7UT9E60M5YiAEPHtsHCDS0c+Su4CkIf/L/zF3+w7YqZifu4gHSqfSyNbaTTByKpI8GjGakERUASSBAF4vDPml8BuQeJdnVHFy0iSLEyWwSsSli6iGeMvqkU/ESpB0++ZXXjqP4rf7Ar/Ll3xGq4cSXUhMRfz/MFW4RX5y5W+UDSM30ljTk4HQqGFEgz7GxYr7ZkcqkRmYKtkVzuJ4DgI5MR1wtOTjxIcmiRJMv3Lo+bBXY5lOV4tOdWhwaoyELL3TDeMGuGihKZidM6dIrtj4MxaqQhAxfPtgIS3n1okXaSSkOqYwSU7Gx2ho03gk62R0FcqxatIEVYEIhDgMUVgvtiXs2fk4KHdGvSsjphHmxQBRUARmHQIwGakv8lRTOWeecvoFw+XQoQmbAaRodjgijqRcvTMTet2MoTwZzvpomcIpKUz7Ws1nnr9OCwE0KxCJsNK5X/zd3biRPIH7r3j9yJnXfvRa+0g973f/oNwjOQGHNa5pkbn9sJy2dJsPw4IQ4epC/sP076+1m0FUOXSGQ/0mAR7GEpte4qhf13kT05L+XTRg8/2kP7R/R/B1MwvaVELf/Zk7aK1gwTjXDdE+tnBEOn+lbgr13yMYWhrvSKQGARwqYCyI3bVPh1yLDx2hcT79ycc/xS7NUnKJvyZl6ZVFR0cNoOIyEde4clk+OX0Siijb62vTZKVx7MMhIr3bnbivjkI1BXbkXgGxt8nQr7Y/+IZB7dM0rmX3BdVLCrk1MdO9BE1zAy8xtb64oWzXLeXpH2fTa3oEMxj7nk2G+Yvzt15ocgOi8aNOv5boD2nFQIoeIXbsZWKDQP2SbsbY/PS4uRiD2cU37Vk+xloWt3WSXexvC7wmGIXcbR0e7NRTbrL0QUrAoqAIhAnAg0ZecJjxHT0iGfCtn0lwsPgCEOhIWcbTGP0QNLWifSL+OhgsdbeYqaqXaoJGKOBjNHKjYCq4l5Xzc0I7Iq4MTXlfDpsuvBOu4PIXMkKWPH0Crt+ypdxLXfktbMdn2gSLVa7fi7OVly8NoKsw/iGkH/yMXbVjTYFPV9JkZvKN3R5yicy33658MDLUs6seGZF+/7S2kVrauaLgjGzOpxgZNl4vkz5W6YXqAgkJwLkXLpoWZnQKfwl6RzxnrLUVjIQ970Bx7W8rP2kWYXEGq+JpeaaqGv8o6sZk6uA6nls3xH/SmAaP7O8nD5cjr81CWuIjybVJAsGefAnEtzDAI/JmheW9CtYhE70/4UMiXkiSe3ld6bgBRaZFtwj12ImEZcKbHZtKti0JkMBmetV6ZX372iIuZhb11Zzg975zAE71jXmKO0wnREg+yK/5niSD8ANylfP/qaEoUR6ATo3DJDYiIT5NlGjtHYYYlqvCCgCioAioAgYBHZ+9T4YDOiLEQuuzFR9vb2Gh8FU2tRHFxBSwpPAgUBLoqYzvhhERou+sW7pOvpET6Kt0QiU/H4ud3njud+K6IZdCMwV3Yr/+wW7257bH6ISaqtu5Qa7fgqX+S5ALWKbYnOJpK8kyyIbFXXimAQds6tRSOZdfBfM4frTbtry+R8UPTDHFpd2H27e/qWfAL4ca2d8bf/3H4VaFKN2zNZJXgrByBcHGyaoY+Kyq4IUjKwZAn8K3y+9NEUgaRHYWt+FRhGGhERzRBl/7MViymT8s01SZPGYF9PzgqVlSXgtkiuPlWP4y1UQ1kr5B5vr/UtFqkErjsD+pmSree5gq2hH3z/nYFZVJ/G2rBwRo1FsjtWCYxKMdIh5LonuJPDT3xMJKZ7RsB9bDh9r7X6drbW41CFDksfm279mauIJpP/tzgZ2GtH3fuIdy2lY7htzDt388qGvr6nGpdrjBh54Uq2cJgggs7blu9iy840Q65ZKy6AqEI0q10WadHmmVQSNG+uG6M9NqxYUAUVAEVAEFAFFwEYAzRXStc2f+a7xp7Bb4y8zT38aOjeetDU8p6J/Trxd0FI61I3L3kDjEPgpH+tXb4rIfeefSmsCEcj7rGNSjDNIYKupxICYbotTTvWwzfm3Prj+1BuHm1HQTDvpCo4l+pxUv2MRItvmV/L7d2b65tEA0rL1VVugaFhEPHf23PZQ16HBN3fcXjLeepl0QF8Kzyl4skgc3vsJxnmGYExj5eIi3f+Fcr9WxHdPurugC1YEpgACZI2DIYGUE+kLpMr3NjoWFdT4r+6brlgrZko6/8BxrcFLmgVDfs4u7M/VgJpOhH/wP/5TX5d9iP6M8jclSQ3CUYgpFslxxapKo0rCyIZAdbRPY7vOMQmRxiYgmjPETUBiqOnGsab6qM3gwZrmDXiCj+3Vjd9sJMOUe0SSTPssqB+JakfTKK3m738+XfD0gbH0/rZPquXJiwA63uWuIlGYw71NMRQLOdWO1tGYsNd29vAR16QhuSEG4EDcyAOEoOyBCv1/RUARUAQUAUVAEXiju65p9Cg0ZOYh+oI2IVkizAbJ6LrqhzctpAoaOWRjLkPiaK46S6pGv7DJOwN6TkCAGuKgwMcRX0vOB66GofLQhoGzIaWjZ9lfFnhaR0zzjuFVeJY0Th+hu9nAqGfD5meHO7sUze28DNyiw7pF1EO/u+zijO1X/QQyEO0oBHvJH+aa1ItkWWxat8vM0Ndz4sCP/wrxy61ZlnKG4/ze21u7HILRjY9GwQjB+Hy6Y2b9bDDBSKuZTQuKgCKQGAQQWcF+wHvUDYTayXnvcm1wbTtmqRcqj9bELC/Os3w7t4aruGXNkIzKkDzCMZJMzzPPk/uP0P8vewNiqD09J+QjSsUZc4tY4VueLHh075D/SoEjwEt6zFc1JiYv8Bjwh/hTYDYRtkKkWcIurqs+avfC6kU0jbZpRdgkSVK/trpTbIMeGEpiQ+acu8Qh7Wm9Or0SNhiRMAJOKEfMkqj/8ZbBn+eS5Fp0GROLANlKc2s6ebryzSEdAX6+EesRdxi69eeWfeMN8f/lVxV7VHPX63D4kulRvnT8jlDtS4VqD9GyIqAIKAKKgCKgCAwLgRNHO48NyK7EURr2I8K6JcbkYVYaMYZNkWZSU8Io2go0KVNJ0wguEtNhuKl4FHelj86n5+aLvjOCs3iGjPlVeOYfp49dVXWgHU3GstvR1spNad6YH5g+NGx5SIVdl5aZ5U8s9vch8BmrHW7B4pSPezp0FJbnnv0Nmjiy3/2lsr/MN/HRUJ2DBOPsAAUjO8d/Lq1RBBSBcUUAAxQYD3/UM8Tjh54/+IFnD2IkbS8AUujtTxdgmGtXTngZ0xauwu+tXHusl2SMWEjb1husFhWZw/PkJR3PA9b/tbtR4ruJVd/dOIQxGFecI0SMnkxxEcsQEeP6ms5AjrGivUfSxBHIae8qyO2FbsR0PN4WEWdPZNP+5m4RKKLptc+Lga+Qw7iW+28fseEz5znU8d9Vx2ijpmUXAflSbG9wvFp4MgeiAn0tMmATRo3rE/0RQNrpTPkmSjd8paEZSU1APLXQjHgH29x+4Fm0UhFQBBQBRUARUASGjQDyqiXroF9gS4Y9Vge88UYgu2g4xhEgtObD18BK1S3PjTkWYo2eaSkXxuwZs8OYX0XMM45JBwhAh2CMQ3/bmn/QUdu6zi+2+3b0MvZ+92EQxhs6rBt6xV033k8fjsbs7Z5uKB5Xppznts7ceM5tpGR05IuRDi+sUE1ePDDqR0UgAQgQN4dMzk8wcmqkLzAhOKd4lgGvcvLcIk/lxH781TYnD95TBQHBp7ytc4GEextGC8OaC11Hm4VjHWg8ShDg2S5d+RoXwoFvSGC04yhPETEcNVQgx0ilEUpFDDdNm+o64DFgM+o6B39qZIatLm1CEwXTmQJuF4R2Ug8TAjOZUXkUcSMmFyeS+DdciOuPvODwhOwrm9Vhj/FVkjvokZ6aS2ZDomx835xCFLamUguKgEGAZzIyYL4RpBQwlVIobOkW2tAkL+VpxheHzugZTWehKJHO7mnqsrlEUj4KzaipGg1W/5+9Nw+P4yrTvvuf95pr5gJelnmHGZZhIDNkgZAQCGHLJEDYSQhhDxAgLGEJzDBASMKSBEKABDJkt+w4dhxbljdJtiRb8RrbcmzLxpYdLZ82a4k2a7G6tVqy0vl+p0/rqFRbV7e6pZb16CqaU6fOOXXOXVUd193389xSEAQEAUFAEBAEgiMwHh4YrmsZbmxD7nUmPJUJ2YxA/rpWojUX5S/wMGcDSPACMcXg5rOlECtd+V/3Q0kd+MRPEk5jpLmTloRUJ2zp3yATq/A/48yPjjR3oEtUt+7jG8EhyID4sBiLIkyOgnQh5ema0Nu0UYtPezIxciFKXvVh+EZbM/KdHvr8bbmhc2lQ/IoPxf2jlcML8dGFzgSMiButbjW20WRXEBAEMofAu/MaCZF29Q2BLXn94mor08WLLXbGb1uZXQpGNDywOh8pdM/R8UAsIJrEkrxrw1xdEXORfu2i6rFAX4eZA37ayCxBK9/gb5H5TTs2izvESsMoYunCRoHdFE4OraGVimtPRGAL4QwZDQ6EzaZRxHBHEyYc4nTEeBqpFUwIMdcpnD3TXXgcdOj9RRCj8DuWP2xcuA/hHpH+UvAKhf5sLAVo2clpRKtlGCkudASIbt7QpGjDgqaBA90jkId88W6clCDCH5rbjgeKZthPG8gaY4LGVfXh7tP2f5jRBqq/qEVJGW2ibtNdCoKAICAICAKCgCDgRGC0s0dZYFgZsJz87tL9TgZj4HgDzcgfmJBLcZ5lIdf4CP8U7DkFkGDJ4tO/vxIyak3owsjfEmhjwoeqaVn2we8newpb+wSryEpfYy27JdwYzrC7ZJ9tRV67xEf37vpbwGSMCB2Bd/9HfuQ1mqkn6eXmf/k4jbGWNpXWAictfuWHj910T1y+6J2AMS2e19ZTS1kQEAQCIvBYLF74R26Gy7s6lHnKT/ed1EMd6T1NcDQ1dx3qCTj4rDX7xKYWJrasdprXhjn7z589iQUMUkbasEGokkDPHM2GgtYu4hBdH5kS/mXDxFKbw/CZF3CggAmBHiltVYYUbMemK7Ige3X95tbBAQtTB3kC08ghdFxZqGNkptc/3QaF2DI0jaFmV6dY5NaCOIWE506DS3Saa9x5qIdDaXfqSe1KSa/sRECJfk+OaHGvfkz43NA00GFJoggDr5l8wyVSA7VIS7SOXutCM0wDmHyvBlIvCAgCgoAgIAgIAlYEhmtbcHKB5upYux2qqv9gJUHQrcuKNN/oDMOEpeEQXFM0i+NxrAvMhjJ6M42ny2csvV7bkyUpzBP5ImxVyT9+xD8T4+Ev/VKRWtiIzOzPbxXZ6msMMl1Fe+Ow5+QjaJwZBi69R1qVQBRBqcsxRxUXmsZ+ZG802rPtoM6+OCVf5Cax8P/dm4MypY7zS4UgIAjMFAEiNckLB/nmyrndvLcLMgT66wMbTsDRUSY3oJMzmekkZty/dWgC7R/5IXHTsA3GAhExIllk8myEtZIoz9ZmzndJFMncTOTjnM8nXRMwjIctp5zO1gjRgQTL9R9fsJEcpVm6ZpLecZwCMC2UvW5L3PgPSbAmjYnHx8LGeva/HFMeQ87kA9Y2UhYEQIBvWshqngI+uaOMcFGDgy8Mz4g13vngZCIC6uEnvb6oiape0zBnMmm5soKAICAICAKCwDxCgKBRvKHbntoyNj09HV4emEfrZHTo36wrmhgZhSSB7rDVW9tI2YaAJzWnzTsWF3oRjMTSNj+8/shXf1P2ge83PbTuTGSauSc60uKXfRDCaufbv0Jgr+2kerevrCI3dN7m13zCGZbr2t6n0nMVk9wXDXy6z+Eh9H76Zoayw9k8jTPhcWA04qODKBhpqfNhbn3Tp/3nEHmuXj1lBEeTENLCLoKwaBf9oZOjgsAsIIBjxWsWVZMajjSG1nfSvZ0j39nVrnVZUCI0+Nm+kz6543i9nUOXUghSVsE8v76jDe1lz+gLrAuxJYwolWzILwnXnQU8UzjFtSWtzBCFUgp9nV2sidecR2ezRhOJ2ExYT4oUFgKErcpbZwWXgq80iUAt2kbrGFlX/lSR0tA+WTfF2zDzr2xto/L85XVWYSp251SytKxbg0xo/iCAlJEnCB2sSWHBLyk6FwFsJF90HOUeQ0hsoyVZos7E6OrENH8AkJkKAoKAICAICAIZR4C0by1LCqEsyFDnerKRE+3Qj3CJREZbGyDZQvTIIRstaW0jZSsCnsHFcEcgvKSwq3ivtb0uk/Ow9I3XwB+abUPoUlucLzzw+tA7aICHS2eB3VaYSNuC0HtXh84nnto5frI1nquYJBhpkOyYs9aeeP+OvG1KB7i4IHI0QVB5wFn1bj/EFWn8Sy7pE4v+4UoioBN3jEZhIwtDlydsyYTDh6qIndfh0mCLnNiZtSDhONJAEBAEMoEA/raf2/I8/sX/9GgVyQxJzKg1dTAhbLi63PLsSR/h330Vvdjm0hK/lUxML+CYvFl/75lOnQFPz1x/vnFpTU51v/NFO+Cws9CMeGGIXGbulMYlPDvGsvssCf0AAdWcq+VNwqHS3qB7RNEgKKYGJhMqIqyihi1hgkdNg9jkf2mfYboGxLeFm617uliRwW8/qByIeJp00kX4ea4yQfo+RH26piTjnMUI6JSM5Ds1a6yL5RwwEm6eL5Kg8qCRyNFYTuvG+U0Dwm8b3KQgCAgCgoAgIAh4IQBfAd8yVN3k1YD6IQKoY0kX0TRam6GLo74jtzQ6Pq3e2kbKBgF3e5RJ+SKyOnA2jXUBInFd6GKtTjx20x/wB8kPvYvd1aHz6u9Zbm08XN+mHaU5uunvrqj41u9rbn/0+A/u3Xnx9dSsC70dDaS1fcpl91VMsovqXqpxtwxI+Yzp7agyKz5zhHmyETftH1ce5NTVv3hY27IUvfQDQM01Stire/N+WmIVnbClNJgJAoh7+Y4i7YO+3PqTXSolf+xMgJW+NgT2dI5Y2bl/WVR948521IC2ZnqXkD1jDfO1bUqU9erHqrwIxt7TZ3gXxsiDF1u2mKPHKJWuI8+88jfl3ZjR6CmR8m7EElwIHff7Iz2Esn58U8uVG058c0dH+XRf45mfPbURHq7sxx8k2ShpZHK4w+DFgwk158Uam1BxFk46Rx8XG23mYq5FQq4vtRXpXlX9pzGhQBkLwcsNBuOBsQuEtv+Y6LI0D5mdVi/Oyb8jtwHYXUn4JdVhqPtXPVS5pnEAop5m1xbHI6n1ONyf4inthFRqvBDQ+UvXNw1Ybxu+x3hkOGR6cfRID45Lis9HRay/rofGX2AXftI0k4IgIAgIAoKAICAIuCKg374nBu35l2yNu4vLeD23JWPEXVd3791ebmsvu64IuMj/vOWLBNJCJ2LgQli0GQ2B3MFrfw49xWZzCYE6O/a9P2oGUjfQn7vf9Y2ATiXmLP4Fl1VMEozZI19E5odiU2n/lhbBgZPSEAnuxGj835DDJ9rxfOGW5nPm4CBi1L4tMcDPbXogzx/Aw1/+FS0b71/t30yOzgQB/fOHlVq0lWkwk/GlryCgEShtG9Y2KEjpPl3cChniGp1KJYdoQLNfl8f1igS9rqiLWHk8K6qE6WmyyPYJweUTJGsdIany/bEcdy994LmbnukkUNr0xXPkmqIWqB4YHtv2rjUNZHE0LeeqkJqq7cGYTfZVhc3f2NGh10XCTK9YdcwjYHdtF4JdKjmUuYUz9o5YyjhMKIKoNHV+OUSMCDK5f5BgTbjmaszcjJMcGecXwOchcu23pXUY+p17kjwDbJpG5lHiEfjkpvg9SQZRaOEf7+3yunauI0vlAkQAq2hUwbhLW9dORgse5OYBO3WPeHhXh8rWyMZ3oE5QUNbp/rORdUApCwKCgCAgCAgCCxkBlIeKYwngLUJyP1rC1cBiWREjsJrYXg4RSW2tl7IrAkhA7ewcGfaWbCI42qYOpTv6Q2iout8udQ5VfctDmjysvWOJ/Wg0ig3x8Zvvq/rJX7ku3VsPstuZv5Or3La8BEK4d1v5DOVbLqvQgsDC3c5V2Kc3K/tKlxszLeKzfcXmeDmmwoVm1M5Eyvll0x4gYuvbfdR2Yyc7TbpX3/oIbLC+LuWfu9UrVppsighQi15y5QzPmOwMF1R7/cOHvrg+nzRbULDIYjOBwLd3tsOQfLiwuW9sipSzngg3AQSNOs+hJrK+/PTz1gauZU0r6ddb18+dHe6cjOtoQSq/WPo80zPm17oLnhoQO9S/7IHnoHSQCxY0D/FKfvfhHuLBqX876cxcGdXpp5xN7d/0M/vtEdWurwhGPCg2fYhCV3ZRXxcO+Z1jZsdgkjkLfBoK0oQjmTBqunBZ9PQgGzuH7eRJwqFmrQEx6VyCD2444QV+xanTb1paQxtt71IXGTPZQRE3cuicJ2op0IBHbH2jCMxm7dLNyxM5Myjqb9o2D20wz12x5ZcFIz6fl4uXSQsCgoAgIAgIArOCAMnoCM4NYgatk9eN99pTNQ5UNvY9c0TYkuCXiyDirk27VVa9ZcVE6Q7VuscUl/zTR0v/7RqvYaGzNJdVd9fjXm3ODI5w1TS1iFRP5/FrfXwjnNsMOUbOqFZRuBvOmY1C9kRGY4MOp8Sqh+ta45LFaBRBY8+2cs009mw9aBAjE6NKgEmkf942571tmulC+HANkeYNf3qq4b6VPVsOjPfZs80TqL77sm/q67Lp76+o//0y7f8SH2diAnEj7CI8JGkzbYPLbroQSKhdtFKOomNMF+wLdhzyKEJu/PZwjw0B/H+J6yQNI0f1huv0rQdOwpDYWjp3vbSLmjIynzRz9k25Bi0l8zR+vkQKEw2tZ05AdIubUhEvGxpA0/mI+BD4bW0dXBmL8DUzp5Bp7V9CHLhwxojnkap+n/awo9aZO8sZjZU+0D3SZxGUus4TleKeziE9MQgTnCx0Mwo44FCP67RrxzmvJBz1wpX13EU+9tBIE3+0V/my7Wwf0bbmBMXT3rA9pHD84e5OriZEMXHlc74omcA8QkAbKvknfOABJzHjtummS/NojTJVQUAQEAQEAUFgNhFozy3ldftMOPHPvtAytCS2dDantxDPhQRx+yEWjm8LztE+CMSy/6lYaVeVIx17dh5qe3Iz1GJbjMxUZODjG1uXbER02l2632fk+XsIklCpFnNLbV7brAh1JVbp0OlxInEi/gqGOrdj9VbubeUu3eZitUD74z+8Lz90mWYOzSe+OWUf/H7vTnWxrH8oRXHb0c24iNvP//yBq/8HB3BtxIPhDjkYre2lnEYEYM6t/GGQ8szJ9jTOX4aadwgQTUxqOOOzDNcBc0XssKbm+IQSQeWI6i/g0kix6KSwXGsQtqUxHyMSMmgcggH1PIk5ZfLkk/RRhdGFtdNsrbdyjLdywns1wUgWQetCMqr980Gba/SJSe4UdpQI3POW103Lyza9s498US9nrhaipwm7i5yVmaysj1hTyemjSLaKWhTHaHOsmL7EudyDcieFKck/eUzCk2pYFkUORuhu41bDnalzEaAWdhXNEkCN1xIb3P5crkfOPa8QIEPFivowPLzPryQsiOdovuQ1nVfwy2QFAUFAEBAEzkIEsBHhHTxSUZdwbWiuaGnzkk7YSxoki0D5Z27JDZ1H3sXiV1yFUYt/9+qfx2Ol6373hLNlW+7W1uUlceGihV1sWVwIBedsfxbU6Pt5tLXTuRZiw9UNfKyeQ0h2UV2OtsdFR+hvCSTvWLP9xUnW0XTv3LBrfeid2sYF8SFOOlte/6kY2XiuYRoRmhL4bLpQgN6EHKa9boNn9I63fXnnJV8lpD2hTtI6jpSTRSAp+aKmH0XEmCzI0t6JAG+pT9ZFPrZxKlcheqprS1ph5yYpE2cn9xpcXawsnH/ZaofqPlxKtdvahiF80IOhGfMfgABwCEaSNLo2I+lZbn2YzXCMtuVkVPvnOiXS+mlHHpgoKCza/OKAMhC5fmuba3sqV9crgxXbzK27ML1efTNdjwJwa5tiFwHZK4wapR/cow8JnOlJJhwfXvS9a1XEPcHOkPNXrG+C2WaXDdaR7izzklVK6EggP2Wvv8drwqaLVxupFwRsCPAlxhNU2jbovLVwWeI7lk9bF9kVBAQBQUAQEAQEAS8ERp/v4i2beNKEMc5dMZ+X0U57IJjXyFKfGgIVN94dY6XOKwxdjkAu4SBVP3tQs1j1dy+zNdZR2Eq1GBMuotCDWlQRwTHralvjs2BX5RRdXIAc0bkWIri5z7mH9SGUiuy2r9piNUC3lnWz+j89lRd6C+zirku+1vjnVWNdvWbk6PgZhIh73vst2GCNP+Y7VJoGFPr3HYN71Ed3XPglIeet4GSoHDD7oqYW9adkYszQtVg4wx7tPQ1bpfkQeDnoEUJuTfymEwdMSZbVho+dcg9wLrWk/LKyWK7lDGnnWALL8YlaNYtC9gMX9JYn7b9R4s78rZ3ti6pOrW7wIxgzNH8zPWsB9oAMk9omG/Nio3NjCbBbX9na5iVhyosRjD4cI+Se9USzVib8nIhgbgysK/y1rDqPXHjcPU3orE3Y50QwOEh/kZLq54jMnzCN6Mp0F3J+Uk+6RR+hKS0hgngS8YVxZYTKTo7i2+7jEu4zPTl0FiOAOhEJOs8Rn22TCUu5ITFt1xkGZvNr6izGWZYmCAgCgoAgsHAQQMrFi7Z/UjgUX23LiuAhFw4sc7jSo9+4S7NSG0LvDBK/iZ9LnGO8Z7l12rGY6CLFK8apxSl2kStubXl2lMdPRVhXjyP6Gz0hUHD3WjMikv2SxgNVjV5r7y49ALuYF7qQjItebagfqmo68Mn/MSyiXaAYjRLAvi50MQ0Y7fgP7zVO1j5jyqGUEeCaprClfDrpKAiAAMzV63KqSSWHUQjvpF6Y8MYKHYTDi2YjMWt2bZlQL2dlGjOknYMzJBw1oDvz+9c14rVh1jJ0JvrLg916jZfkNvgTjBmav5mMKWBFY+LWiQS3yUq9jLx1d5ND0otjnBP+YfjMCxi4cDOsb4wkZA41f2JyMxpYsrCAWRKOvTYaUHskFTYPJZwwjtJQkSaw2rTnBuAh5dBvJj3czSEpCAL8uHCwOy4dX9MQ4cnKa4jbJG1vH3ZawwhigoAgIAgIAoKAIOCDAIGi2vzCJ1C6b89RXtv7dh/xGUcOpRGBo1+Pc4zo4oIMW/nf90NhbXvzddYg31YMlJdsiqkWLdQi8sWYeC/IsPOrDdwdS8Mbetq0iYbO30X9SHOHtV5rd7s377NWmvJ4d39B6P2oExvvX20qfQqNf8nNC13AJSh++YecjuojrZ1lV35Pk5BFL/1AV+H0GfqMK4eSRIALncKW5EmkuSBgR6DD1+QXwuTmvV06MlcLtC5aWf9g5Sn7KLF9rZezsog+5Uxo5+BImeSVG064Ts9WCWuKYIxMhtTzko7NtFkmI/zpaA8Uok+IdCbmb5shu+hFNeH5+sXVRS1Jm4A0RMZMiLcrxzj7gd4E3ufH3FsKmgZgdJ1LttborJ4swUuiaW2cheXK/jFuSO6rhHNDuKiNexA6ggopC/5coZ4y+EbtPf2+dY2u4saEI0uDhYAAjxJy9A1N8a8sMkVkbebShXA5ZI2CgCAgCAgC8xqBodoWzTH27690Booqp91F+Z0FuxOGUc9rELJt8kduuFNTUs2PbAgyN6gwm7NJ99MHlHYxFhAd/5ykX7yItSAnyuY2rbiiLyuy3qj9Byu5e2HIbdOOTkwQT02UtK1e7x67+V48XA584r9cj7pW9jx9ID/0Li7Znvd927VBx9odWEvra7r/Iz8yGSBdG0tlagikwC7SJbVzSS9BwB8BnJfvOtTztphJruYV9edlaxr+99gpr2BP9HKwWK5ElpNpzIR2rjrG51wV4wz9F8jRZ7tGWdQTteGCpqELV6gseWwUCmJis53tg3kNYTSZhqCzLSET87fOGaUiUbF6VpiDELhtPRq8nFVWNUTf42kLkhubB0YSsYvwaZqKfHbSvif4qrOk5aNV/VzBLz39fML5wCTTEi6Rlk0D4whr2f3B7k5EthTOX17nVDYmHFMaCAKCgCAgCAgCgoAgsJARwN4ivL8SroOQ56QYjIHqJs0xEkkaOVwz3Ng21tmDplEb7JKmDBPehQxsptfuGjmLUQh8FF4hqBBTmADh1aRhtFGL0CnECweJvE7hjHPSRUEXjUs44oHPMScXJqPVua7uLYpgRO5YsNs55/G+CMHpBEc7tYjOxtYasjJq/rBr015rvSlPDI9UfPseqEuaYSqNM7s5JIW0ICAEY1pglEFmggBOuFAi6PewJ4bWYEM+d11J6x2HenLrIySaI0oa/xQUWa7W0hW9o9pz2cbFue5mwuSFL1Mm/P8eqbTFETsxgbwiCJrIU52zkZWyKPJPGqVc4+DYmhjBiFLRdVEZ1f4xjQ/lNzMrEvrdc6TPOX9bDVydlxaQbIdb2wZXOlYBQcoh2ziZ3oVgRBe6OcCpCf3eGLOQJkR61qeZNhhg6bmItx44mXBE3DqI7kdGq1u2Dk1oaxi6c5diV51wBGkgCAgCgoAgIAgIAoKAIKARGOvuhy2xvV/37T5K+sSAEMHGaH5m2iA5+b07D7nSXwGHlWZeCAzXtR76wu2lb7h6Q+hSGKeil1x5+Cu/7p40ItG9qIlzjEtS5BgRK6LT09eUArtnE7sISqwofKhaw0UKRHhyRIxnwgNQ4m1PbSEF5XifSwZ+HFvApG/XYefVgZJdHbpg/8d/5DyUsKb8OkzA37z51R+zxqrbekX+Vrv9vM8VhN7DJG2HZHeGCIjJywwBlO4pIwA9hVQMIlEHacJpwCJ+dGPz8tqwM5nhge7Rc5fV/vsTtU4vGAJaA0ZJw9r5W3ukvJYbd7Yzf/8EiRBWGKPQTG9wkr8q73audEfbIMtRUdIOWWam5Yv4ejM3kklu9M3dx1EWgu0LF+6fH6viksFo9Yy6+KEQK40FD4JMVsTkM8qO+l+7vtEziaSLLw6Mv1AQS9LIp/O6+I+fVUfJXMp1vP5pT5tv62zR31rzN/54b5e+P2HCvVy2rd2lLAgIAoKAICAICAKCgCAAAuSXwykYaqV3ezmyK8SH4cM1qmZRPv65SUE02tULXRM+WIkHLsHRtqjbpIaSxj4I4Eoccyh+M3xUXuit6Nko6G3fVT+0wn74+jjHyAX1GXBhHlIqTXyxFxcYdxU4Q2779txSiEcKXt7N3SX7eF5cucfDX/4lIsOGe/28XbzQxmgG5pDrmDCwHXrZaxCpTxmBvrIKLnpSG11SPp10FAQMAngEaCqDz0tXN9xb0etPaOzpHMHR+POlLoGfVX2ng4RIV/a5+1CbKaVcQOsFYchW7hFXS/wp6ez0euFRv72z3Sv6GIHf9rZBrWBExGh0mLOg/UNLyQzRi3rhgK2w0V7S8mUPKK2pXtS/Lq4mA5tXx+yvh7jG/EWFUbcMWi1sqEcii3SWXHO14TEnv52FS8P2hYuCFjHZuZHmlI4IickRSgFKH/ox2UGkvSAgCAgCgoAgIAgIAgsNAbSLECyENsMNWtdO/fCJdmuNlLMEgZrbH9W84vGb7yNsVs+qb08FMdHrQhdxCCsQ8mGa2R7+0i+pJFaakGdTKQWNAHw4hBLStXig9MREd0mZppg6N+x0RUl3gY13PbrrHTdg74Ka1/VowsrDX/4VFyugO0/C0aRBUghAOCfFLtL4LBP0JgWXNE4vAojfbnn2ZHASA3YR3uNwjwtPuLN92HBxroUd7Zmlv5bXReA/4dnWN+IoMoVTVf8YSe0MEXdNUUuQ9aL9I7ck2j+2WdP+4bzDPInajlgXMLmUPxztA3y2/1hWi2SxITKuQ6Qhir/3TCf1Pvzq5BhZ+v9KBBvzwC1pmYrgxgsXF2bnvVQGNWy5vtm5pE9uauGK/Olo4jh3M3+ygMIYm144vFP+z/VNpoEUBAFBQBAQBAQBQUAQEAScCBAB3bl+h1XB5WwjNVmFAAn64K/yQ5cNVTU5J0beSwJsYahwDBlt6zYNDn3x9hjHeH7b8hJTKQUQUI9AzCc6XF4VByQaJb2hJpq6CncrGCfiuf2RhsIrcoho8YmRUVcAd158vfKP/vMq16MJK+vvXsaVKv23a7xa4qM0UN3Y9+xzffuOoT22WtJ4dZH64AgkJWIU+WJwYKVl2hF48LhSWJmUcbbxESgi/HMyQlT6axfTxRdB0RAyzAzJa/eJTS04ZWCTwa7e3rO2cVdH/Ncx28yzZ5fUi8z26qIW25Ru299tFnLTM522o+yifoSeesuTdQkjkZ1957amc3hc3zYkjdSTn4hGD/WM6hupsHngcM9o6/BE88D48VMY5g5QDw85nq6bJjOLx5zlnCdqiWG33XIwo/hEQ5zaTovyVnPgcMXm0Kr6CMpbsysFQUAQEAQEAUFAEBAEBAEnAmMn+2BLejy0WM72UjPnCJB0EQKq+bENXjNB00iOPtrAdBn7Ehof+vxtcY7xSeEYp4EHbagSAiwuQLVrDpAcgByMmmYkGrojb1vb8mK9SwA1scympa2w573fzg2de/Sbv7PVB9xF+shl2vLaT7q2H3m+q2P1ttYlG0kOqTy+FxeS0MC1pVSmjEDATIxK9Sp/gsDcIYD1BjTXt3Z6BhogRcPGBckflBEbBXZ98i5CKOF3jLlwutaEYQ0EDokljUM0Ez5veR1uNc5TIBTsdktd6Gw5mzXXb22zJZPUrCPOLyRpJDUfK4Jnc06J2GoOedG/zvbZUNM2PAGNBmeIAhZekSnxv9K2QWow8q7pP23LyQ2vSLg0R3d1ZFYQO3Nw9p0cJZ0mqlrspJfW8CwMo0GF5eYavfzB52BQzSlgEZGtUg+xnPXaTDNrKQgCgoAgIAgIAoKAIJAVCMCiwJkYkwvbnPBt6dt9BN8QMs4NYK07qeOyNZPdWUMAe27Yp63nXOt/xpHmTu38UnvHEmvL8s/dSvddl3zNWillEBjCBn1Rfufa7dhDG0AoowjtLNiNcTZHydaIERIPCxpC08ZZqPzJXyEYd1/2TeehIDU8aFwjaGRnY/VzwLKilscLe3f9beD/a4pU1IbLpwLhne2lJmUEEuoYRbuYMrbSMV0I/PzZk9AgJDBM14CMgxoNvggZW7rGJE3fT8q6tHMNVrzwjVZR3/G+sZv3dsHn6HBUlkP+yfuPncra5H5QoFrbVtCkZG/Ed+OX/dpF1TgO2xDDiIflfGyjXf1oa5Y9u02DYzp1J5yhIRKf7Y5rF7krvFxpYKQ5CiWZPWtxnQl5I98bYxS5LmbDKWlz6xQ7yo134cp6jr5rTcO8trZxRUAqBQFBQBAQBAQBQUAQyDQChH/CnCDFsbpFqxjMY/Udq7dyyLoRLoq1bqanJOP7IKDlbQeu/h+fNvoQLiGuQrjaO5eYtI0JB1lQDbSrC/5Erqsm1Z4/r2h6QT2BPBkvrWkwzdGEBXSJdHfmYCQUumPNttYnNhIW7ToIxtbQodgzWXWYri2lMggCXHEupU3NyC6VkncxCIDSJqMIwJbA18GEIDlL44nIdghZtLszbcHLl61RGr9XPVT5s30nETSaqaIT+2D+CcPzvGZR9TlLa7VyjMo3LK4hmaFpnD0FAqKZ3nVbpjy2Hot5wXxgw4mptcWmyy4tkW5mz+R9ZtI9MsF1Z7PCjmSRGrSvbcPja08oZWPzkMu/AEnPyKE03jM+85z5IeSmRLh/bsvzP913kih+K4vI7fnBDeqeJK+ml+vQzCcgIwgCgoAgIAgIAoKAIHB2I0A2OVhEyMOBqsbIsXqyz2n/aFVZsBvKYqS1E31X24rN1OANfXajkeWra7hvJezTka/dkXCeE6Nj60IX0xg1Y8LG0gAEyKmI1REyRYSCMwRk/0d+BPKl/3p1CqLfg1f/lL5ND66xzYHHE+4R/tBWr2Y+Nt7z9AHrbwFIHJ3NpEYQEATOAgTGJl4k8FanN0RtZWXtZr46culh8IGSzeodPJNh4T+/ur3NJvDLaxjQ84fMgYG0+tRAnN6wrY16Gth6zWQa6eqrKVBssq0DfnaLioa+49C0bBVo4aj8UH6ztaUpE4zMMgesak5zbI4K2LUQQW9ODkG6tlFJE1tjpGL/mHJ+WVkfgU40bXQBXo5mRFLb6ufdLuHwXDJShmJFNO8mLxMWBAQBQUAQEAQEAUFgNhFAfAU10bVpD2nlkCb27T5qPKOJg9YRoIaggGCkwXhf2DpDks7RAAbGmtbP2kDKaUDABCZ5jEXqRdinPe++0eP4tOp9V/1QUVUP5E2rlR1vBCBjuck71kwLlPZu7nmEcdaE3gb41bc+4tnI7cDIifa80AUbQu90auRwomlbUeK0dOHR7oqZ1LQtK4JX7Nt1mAKrEI7RDWCpEwTmMQKV/WPoAI3M74In63A6Tvt6cPGAL6o45WJOnZZzEQENjcOGiuy85cp6w+mdgbqMBh/flHXxxcRHs9lwgEsk0vb/PvAcwcXmEOo4lvC1bW2mxhTymwaIqubod3alM7zdjJ+WAjYu3AabW6dow57TZ3IbIiRj7D59xnYKWpLh01Y5v3Z/Va6Me8jTuLN96iLOryXIbAUBQUAQEAQEAUFAEJgdBIbrWo0/hVEnYmmh0irG/iAPiQxFBEX0HxSHk8TQzXS0oJP6mJ1VnPVnGe8Nl77xGkKbfVZKG2Jv80JvGe9LHBZXft0tcFyty4p9BlxQh1B1JpQU9j5zBHYuvN8lUHqovq376f3tq0sR/XaXlA3V+r38Vv30AcAnGSOF4CDv/c/v0qvqJ3+1d4lGkS+iLrbVkyWSXw2YcOeGnROD8URS3CStcIyLCwLGdNvGlF1BQBDIKgRgEf94tO8dMT8ROBA26KwHK08hZczE38D4C/BF6xsjiX7vSuXkR3pPwyjitcH86Y++keXgu+Ec6z/XN3GIJI3OQ3NVg6iPmeOF7ZzAns4RCEZCa42g9PJ1av5P1E77oXb0hagOsuYQ+QCdzKpz5LmqwbeF26AhMk2v2DE8gWYW15u+0SmOsW9M3TDzWsG4o33kpQ+oJ2t5XeJ/Wc3VFZHzCgKCgCAgCAgCgoAgkA0IYAuCB277is0DlY2aOYRO7NtzlEpFSkC5BP5TAaSPbwzcXBomhwDZESGX4A/hi3RPrtSe99wY+VutdaBtb76OZtW3PGStdC2XXfk9WqaWCdB1wPldOTGBNBGarqu4jFQA42EX308WqFIdkn00J5+Uhma9KgZ564G2Jze3Li9B7stToH2cu4r3eGUljZ4e3/9RFSjNtu9DPyD+2ozmVaj55WM0Ln7FVU4OH59rDKP7njli69u7rVyzizYuEQUy9SNN7tkabYPIriAgCGQhAkNnotBTHy5sNgYoZDJE9Yc0LtORtTvaFbnkmnBvJkARf/3Wp+qgcX68t8uM8+68Rlg7q42vPoQdDC1/ceCkaZkNhTcurcF02FU4+puYBO7zpYosvftwj6YQrXOGLL14lTIQgcu69cBJ0MjmP30PoFq0TbJlaHxFfXhNQyQy/oI+dCQmea3qz5Tk1TaBTOxeGUu9+IXYtcvE+DKmICAICAKCgCAgCAgC8wKBsU5cno/6TBUPl9YlhcgXIShszVSiuWQECpAVUBYYYdjGkd00InDkhjuhmBTHmFMAu4igkd2Kb99jPUX7U1uoJJDW/9JPDI4Uht6/OnS+k62yjrZQytFoz+Z9Oo8ot7HeIBL7yypGWzttkl2yB5CJsSNvm5E7dsMurtisCPalxUoDzLa4UG05BV1Fe3wwrPzv+7lYbMWvvKrpr3mwju6NJyYqvnsPzdaELnTNssgMsXdBPDk11Wi0d+chFtKeW+pkL0mdyiGyp7qfLltrMbUnGSwh3mwU2M3Wmcq8PBEYPtEeLq+yXkd2qfTsIAccCJCHEFGfdivWfBTeEznV/RGLSYqjk72CPHL4Wdhrg+1DIkEwbm2bctcN1i9BK8KuWc55y+us69jVMUIlhi+2ziRmpF7zdbZDc7j7g93K5AUu0TkH+MIrYqrLa4tbaQMtjFzTNCNtJvww9VCU6OVMvS5kIddIuDf3QJdbDH7joLo9uLuGxl8gPJygaYxgxrOcMLUhPn1X896FzfZ/J09vJXuCgCAgCAgCgoAgIAiczQigWdKBzwPHG7zWCfkAwWjVYnm1NPVWO2lTidxLyxeFrTKYZKiAgQtEExwjSjYK5Z+71XmiQ1+8nUOb/s9/okp1HtU1FTfeTZvjP/qzV4MFVY9kEcKNJADcyUNVjcQacz9rmlF9OmSNUCLU9z/7HCgNN7a2PbW5FXZxWXHL40UtSzbRHmoxvi0u9OfB4CHzQm/lWrAVhN5D+DNnR1es2Etoz6cPHPnqbzb93RUcXRd6e8uSAq/r0l2yT/GZhbtJ8Dhc34r8mBlCe7pKMZVEeVH+GQ+Vptcp5rAeIShLU9di+kall0Z0Dmcrp3ZFAPtym+m29WpySPzNXXFzVmrODTIKwRtauGS9Tgqahi5drbybsWa2UnnOEzlrBsaj5GDEzgMGiS08qVJztkyhBkEms/ruLvsPH1cXtVBf1DItiR/8FZXfe8beOIXzprFL9+gLuM/g3+3qA9IyNAHmTJtUfismg22h4K4tUZQj2zXFrQQUW+cDafzlp5/PwmSMsKPcANUeusSasHIbL2weYKPAPWNd1Lwr/yWWF5Snpnd02tWZdwuRCQsCgoAgIAgIAoKAIDATBIbqWtQb3JLCiWH7D+IMiwSOo11Fe4OfggSMCORsahPYDMVkLi6gEHwoaZkyAoe+oPhDtl2XfM11EALbN7/mEzFK6iL4K2ebxvtXo12kTXTcHt/kbLwQamDaeRYGqpusix3rDZOGFFGu1eSIlrBz6HVVPHVO/mhnT/fTBEeXtC4vVs1gFye1i4Zj9BcxckayNcIiwh/qy6o/4ZDXhS4yNVwsNIoQhtCPY24JNnnGEVVaGZv21VvdCf9olKeYRJHWxWZ52ZVd1IvlUJZPXqYHApqTt96frmWaCVxBEPh1eTc6xiAtdRv8XxZV92sR2fIYj6cZrfWNQUWM+BpvbxuELLJuB7vTSRz9/Fll3bK0ZlpaQuYPWUcCw4tW1luFfLox6f6CgzA7LbHARp2I1Q48sPWMOm4d52VsiI1GkTbnLK1l1cgXHzyu0k5a/57tGsXmhqMQktmWjzEcy6wI1ezFUR87pRhItq1tg9YLZ13gPCp/f4/Spp67rDbjCQjmESgyVUFAEBAEBAFBQBBYeAhgy6LUUG5/4SM1vOIFfKHDGIIx+vcdU2+FOfm81NORIFxFsyCUWlY08vxU0iS3s0ldehBQVi//erXhoLySXmLysvfy7+hmtK+5/VFyLfZsK4dZ2nbuZ6nPD707fFDe5dVFgY/lHoZwc1Xn0oB6wqLJdQkbr9SJFhEdqMLjKXZxGcHRkwSjkS/GCm0rAtnoQAbW/Xbp5ld/LDd0nuEViYneedH1UJdMY+C5es4FmWnLuqnWEPsjFBpRJTQj8sXwoWoTwT15PP7/SJpZQuTotNSdtjZZtYsE1Iq5s+yvEc2qtSzMyQRkF/WVJX5/YaKU0VWjWoTCQlyHBQlsFVn+CDoOElWN7cjxU6fxNTa8Ipo09GlYvWg7jzTme9T+0aQfdELxrZ3t0DtwpPoQbBsR4uRm7MlKRRlSTObGhHHeua6k9dPFrW9YXGOiufWcIXtvP9it82e+bWU9dJx11TByaFNJ58gguIGXp5XItZ5oJmUSY3JX4F/jxR8iXNyI2/R8Do624vOno333VkzlXrYekrIgIAgIAoKAICAICAKCAFwEL3QEhCaEoqd0P7SGpl+IulVZ5iY5FiKsYR2T8oJJeDpp4IUAMa1bXv8p2KfDX/rl4S//igI6N80+uXapv3sZDJVhq0zhwCd+ohlj116zXwm3xj0GxafvKwrsuqvvMjA57JU5LyHGQcbGl5nMpRAmnQW7CeqExFN5BhS7iLFLPO+izr6IplerGYmeDjKyaQNPyPg8VjAtNolp7FC1SbTITEzZdPcvkFuVeSo2ddwj36N//7k46iNf1DeMiBjn4rIEPSeBz+a/FwELEisdFNxk2sFrPVrVf+ehHhSM7cOJHaZ7Rs6QZw8WUVOLK+rCGAd3WnLulZ1UWfhqw0k4wfnPV+dgxD3Z2QzbFBhF8hOOvBAlplhbSP9kX/b+rFnSOvj+dY3Qg2aDRTRY4Y9jjhL+DItrXTJX50P5zbrjV7e3Za1kjklvj9n9bGkb7p68MTQjTZZOvaKxs4VdtF4gKQsCgoAgIAgIAoKAICAIkJltdLrIUAuZkDgmBKerQGU/M5YQimN5vmugsgF+Q6jFhOils0E0uv/jP4Za1GPqXIuKY1zmqZGDpmtbXnLg6v/Z+qZPYxtN6sWuQj/bkXTONthYaobLipzMA5WZ5hjJT6h5Njg3DJeDzdfeSsdQK9YdglGHSCNcjAVKMyx20t3FSWQhsI/uvU9MNNe97aktQ9Mju209yISgfGrGx2GnMYhhSjCfCDJtzbJ51xqi7rxPqOFWyeb5L/C5+eRddL2aVCrqXv7mCAEIofrIWHHLVDT02hORo72jw2fs2edgICEYkailcabYoCDqQxTnHBO9H5zbt3e2o+ijgAIz+7krdInb2oY3Ng+RfdGsiLBupKQsgXyMzhB1nERI4cjRVz9W9eRknkbTN9sKOAFqHSN3Auti03T0yvoIPHC2zVbmIwgIAoKAICAICAKCgCAQHAEyyKHFcm0PN6hew58ssfrJQjlSGUT8QyY6WvYfrHQdXCpnAYEpweF0a2+dj5GEirCIszCNTJwCgo67y3XLqCk52j98otEfwrbBLnau35Ha6sh0GpMvxpyjtYgRdjFGLar6pUU0SG1k/17jfWHl5AKZuSi/c+12288Hpq9N/sd85l2u1IQEIw3MeqWQVQiQsNf10U5Yacv0m1WLOlsnExl/gZjWNZMcEUxRadsgwcjT1HXTF49Oj2auVsLTGwbdwzrklQ9VvmlpjdO5BiEfgcYwb2zYbViDo/GzpuZAVsYRW1c+fCZ6YyzWmyVApdrWODbxojah5ui78xrJbmjtm83ltuHx3Z0juQ2RVfWRDU0RhK+9pyW9czZfMZmbICAICAKCgCAgCAgCCRDQCRV92ELNM3QVl5mBEB/qN3eiJk2la0HnQBOC0RWcWaiMHK0jZWL1Lx52Pdehz98Wi5U+HwcQ1wZZXulDHxHJm7nJI+rDMAWio3VxgS5MsbhJnrWrOJabUcsXl2xSwkWoxRi7mFGOlGkO17aQV1PTNd3FZbCO1rlDoqrUkYW7AZl0qT3byzMtCrWePV1lG0fq5KZ8vvfSNQcZJzUEksq+aL2ydEztjNLLCwFiV5fXhknG6GzQNjS+u2Motz68si5MKDRM0YHukSAKNLSOEIz0dY6Zcg1eJzBsBETfcagHD5S6yFhp27CmEx+q7H/5g5UY3JjEj0RVf2yj8phmc9pPpzyHTHTElOfCFfXME8Oa35R322hbjGwuyVXW3qTHxL8m+8WZmYBIxhQEBAFBQBAQBAQBQUAQyBIEkCYiUOQFLXK4Rk8JbgF3WjM9xI06EBU5oqmEM6QLvISpcS2QC45myjZi1v/gQ1QGyGVFbLOZl2/WF+p3woY/PaXTJ9bc9qhru/LP/kJzjHBNrg2yudLKKjjLmZ455DlMoD5v16Y9hP+ncMaJsXGsolVYtGEXlxYRvwy7yKEUBkyqC0+6in3GwzpmwNT3zJEzbq7xSY2ZVY3VDxwxoabz9tA1YvKSVdfLOpmE5LDXNRXS2ApjWsq9oy/Azl22psGM1jA4/pOyrrz6CF7Aq+vDq+rDREbX9J829J1p6VWAB6MvnORI8D5eY1nq7znS94+PVGraUH8i/OM4pzNmKLha37CtDTqOBv+xrHZ5dkcT41+DMpOp/vsTtc4A8Meq+vV68Z5GjWlBQoqCgCAgCAgCgoAgIAgIAoLA3CAw0tyBvzNyLEI+0WJhJsu7mzVwktBIapBXjcUsoZkl7IfmJRBA+kya6FFGJpmbT5tMHHJm54NmnI8SrJmDU3vHkjjHeLsHx3jdLTTIC13QvrLUnC56enzkhHovy+Y/L4ZB18/CzM9EhlSscSxMu7ukDNPo1E4KzYXNNDpS8iIyzlBda2rjpNaLnxhwdec5Vc/44xv5OQDiMbWhsrAX3K/iGPU2PaBemKgsvF5mSj76ZP8Hn696M4gU0oXAp4qU2O9wz2n8o8lhqNm5G3d0rG2I4NjSOZzKryGk4CPzHiYs6ZqkHqdxcPy/yrpQJ168qv7jm1rwczGivsh49JZnTxoG8pyltbft78beF61jeueQrtFueqZT06Sf3fK8TRfKLpX6KFfHGvedrrPLOIKAICAICAKCgCAgCAgCgkBqCPSXVfDWhpRRWTnk5BNlpq2fzWh9uw7TgGBJ3G91pWIdY6SEVdlo2lPQ8kWYE2vl7JRds/NlOuZ0dpaWwllqf7UozjH+8jGX7tFo+WfiHCOXWDWIRss++P3C0PtJtunSPmuqfCiIjIZITwMgGg2j5o09CJCNmL9MOzqzHYzXq3/+0Pa3fCEv9NbC0OU7L77+8Fd+zWM1s1HdexMijR22pm6gOs8aaZ/SiMIxYsw9nWOEXfTXiOJHzNcgzbQKmgK7qZkUQ9djjAWLi4F4++qtCL/79hw11lfu12PB1/o83fou9fqk44IHL80AoDH82b6TmsvSn9ipXJbX+EjlKayZUz4ZNsGG+kt5kIAdWQJSQO2BwhLQBOLFTGQxwj+9oo9ubO4ezTpvESSLuLogU7Qtk3oEjXohrMt2VHYFAUFAEBAEBAFBQBAQBASBuUUAdZ+iFmMSptHOHudkyDuHsQUNeDU2R2MRiEr4xCu89dUbySLNYF0QQ85J0KXry+lCVrbU/PIxzTHW/nqxuXxThWj04Kd/phvsvuybpW+4mvKuS2+Ijme1ks2VRta0Q4bIZMR+kK6odjGSsNoe4Yqu8xmiAMQyaQrYGZTq71meF3pL7KKcuyH0TjhGfYFyQ+dB/5JdM4Wx8Y+G1yL7opead+T5LmPdS4HdFM6ShV2GatGI7iH2nK1r0+6E9Kn+cUTfS9ZPvkO8fk/xWjX6cAhb6yC6HIllnCCN7UBVo1ffhVwPo+sELUgNHRcybuldO+4niOhev1h5E+vtHbkNfzjaly7ZIRxjZf/phgwLCPMaBs5frvyj2d6+qv6J2nDY4j+zoi5y7jJF1mEQk4Uco3WqXFz4XDJJQvAyYRIzkp4xvVdcRhMEBAFBQBAQBAQBQUAQEARmiACciU7DqIVYXt61vAsrIdCi/JGmDnNGXtV56VbvfTn5BHh25u9i06+BxEdbSRjTZRYKrgTjAle21Nz+qGaoCJp2uQTRaMV375mksN6878M3z9W1c5mbR5VixXX+wOmhr1R6EWgeIyWuJnuAiveffiIod5OtFJVaz9MHdAOcX/zVcQnPR1ZGrsWa0Nsw6DGP21B1U8W3fr8udBGHKn/8l4SDWBuQIrJ/fyVpEMwSfLww1EM9yYkhXbaOsxDKPsR1/PqW7g+IAyku6cJvN/37jsFCc1fA8eKYQ6X+RUY36C7ai3NWwDEXSDPuT3OvJlXwubEXCHQzXyZRxr8q777gyTgpB5d1zhO1UHMUnGkAUzsdeR2JrV5ZH8bqpaA5ncJv63yY7XvXNjJtNvjDJdVhV8ElodPnxRjITxfPanoK61SDlFuGJrCQ1ssht+RM5KNBTidtBAFBQBAQBAQBQUAQEAQEgaQRmJhAfAUng66JOD71OuzNz2AsS4O25cVWXSLiRurjFGWMgYGKGapqtAVZJz2xGXRwpQgypGqbwTRnu2v1rY/EOcY73TjGF1/s2XLg2E1/IIpztmeW6vkgErmsBERrCoICu2lnFxGhKWouJ7+rYDcpCnlMwvsrTfZFGHUj34UD1M4vkO2j7S5K4CALpSMs4prQhd2b7UQW5Mnq0HnFL/8QfCZDNT20jjyQQcYkU4F+crtL9/dsKwcomC6fjsr/5VC1EmTOT33dmcEU/Q68tIv6BjOfQQLVoehblhTy7cpPM1aouXP4jtU1Y1297bmlDIsIPOUcntbBz5oyImGDdlIFOp41IMzyQvrGXsCI+X3r4owcRBbxufihbG8fhpfjk5pvxTxTUp4YMdENkfGS1kF4Rb2Vtg02Dahvs/T+kVYRtlBzca9+rOquQz3+dNwRnJpX1mez4cvaxoHXLFJSUi4Kmsz0wiWjCQKCgCAgCAgCgoAgIAgIAulCgJdcQ1PgMcHbHLnCvOhBldDM2z8aXgK+MV0TS3kcp7bNhzVN+SxZ1dFcQf9ZHf/BvZpjrPvtUv+WclQjQLw/PBsiNJKO2jDR7kgQj9ZQYtIwxrlHcpkerEyBNTr6zd9xjeruetx2Ooba+u+f4ZDOazpU1UTc9N7Lv2Nv5tiHKtTPrKtMjiedNaKvc3q7ZL+K1bHWeAWyahLGJqsjhSgOyGUxvmGVveaAapHRbLkWARmymjSMppfKPrF2Oy25TKZSCiBgovUDXhSa0UWgSwEByMNrilpe8WDcfxnPaHxDVtVHRqenWMQVBY7LEl6cxKkGxqOHe0Zxjta8Ym5D5ED3iM24JInhEjXd2DwEF8dCvr+n8ywwQKkNj+mw6MvXNTUPzf0/sRLBL8cFgeQQ4PthZ8cwrk9sFNhNrr+0FgQEAUFAEBAEBIE5RYBXWlRSJIsbrmuxcQjsai2i19su0qDWWEx0EA3PHK5Sa9vgFdkyoWqbw6U5T030a37oXejZnIfsNdHo7ku/HucYf/eE/ajsOxDQ1icmTtl6vP/Z5+A0+NSVJlwaJhCJo0oasGKzK6dnHcRZ3vT3VyBThPa3Har/45NcuP0f/7GuhxLMD11GTdNf82wtrbtMAHaUaG5X5h+zeO0az0JUJG9ZhbXvPC1jds9y4ACTnX9SYbn+obigjXwRqtk2B7ho5kZktLV+PDJE9glloSV/FgSC871AqreErK9leCkqBHiP/+Qm5RCtNwKK//fYKeKXXdHBQpptLO7z5trEpbJteGJ725RkcWPLYE3/aVxXMv13x6Ge+kgSXBxsajazGr84cPKXB7szD1umL4uMLwjYEYBOhFc0qmYK7ArHaIdJ9gUBQUAQEAQEgaxEQEU+HqnRDKF5KYN/s0p9kNzAjbC5ur2wrOHGNvpCR4z3hrNylQtuUpX/dX+MMzyv+eH1CRc/3t1Pcj/NMdbfvSxh+4XcAF0ot7or8wM1xzNCNgDSGwKRMjxalM+jYeCCAEwhShqGn0tT8k8fNePoAkOtD72DzUo8En5L421vvs7W2LrL887ERtziRofr4kbwJD1QarGYF3bv9nJr9/lY5nuJJadg9pGUsYj/+Jocs1piaSQ1h+m8MbQy3D9ufT5eixnOOSnKN8t/85ohFBnq/mDlKahF1HHEPidFxyWcD3zd8VOn85sGDG+QWx+mZhaoxYRzszXY0DRAbkOspf/p0apri1vhUG0NZFcQEAQyh8CO9mHzLWEKVGbujDKyICAICAKCgCAgCKQFAUQ12qgCXgLZVeRoLW4UOmUcecCsUisd3EeiNlfVE5Pp3fU3RbzkbXOGVaZlqjJIsgjouFoshpsf2ZCwL57Rq0Pna2Pi+t8vS9h+wTYgpyL3ORydDQEeFtSJPDsEF+tDSBxpCVM38ycCFhHbaNsZ93/kR3CJDfetnFYfjRaE3ks9ZOa0essO8dTM05nxQE049jsCajp9FF6O+bMKK4dpGWneFCFp1bdT8oJA1M50DLj5KyQV/4y61aEIVUTi4oIXY6S0FVCoSNoLwWjFRJcDcozCLjqhC1KDKA6CEavoII0DtukZObO3M27gAl2woj5c3DpIFHZh88CKujBR0jXhLGLwoFhfEhNwEk/92skkh2SJDLhYaSYICAIzRICfHgyvaAqIGGc4rHQXBAQBQUAQEAQEgYwigM5Ki2QI3tSaK306HUpsS4xPA53/ykvOBIuCFQhvxF6R1BldiwzuisDRr98F10R0LdfFtYGp7Fy/Mzd0LlbFeaG3wDROxfaaFlKIIYDzkbrJHQQjol/qbQYoOn8pnuwzBK/0jddwHZEXmnG6CvdQs+3cz5oaU9j1jhs4ZEv0Z45S4LcDfgiw1lBGnEwALwSj9SzU483EujoLdvVsOwhB1563lZXOx9tDmdrk5GsrHNvafXaTIhhblxX7DDXeF1NRFu2d1iYahezFKmhaZWyH33qYcAoZO51DnX01yEF98jFySCKjU77ohbFchT/bdzLlEUxHDFzqI2MlLYOwiJol2No2TMLAM9GpuN7I+AswjRzFqNp0nMMC4d6vy1HOKVCsw7GJ4p+CjpGNtIdzODE5tSCwcBBwJRipXDgIyEoFAUFAEBAEBIH5iEDvzkNQB327DgecPNIsRUEQ9WkhOqx9eafrK6uwcpXWo1KeEwSO3HBnnGPMKfCZgCas+vZUqPx7iwt9Wi7wQypdADq0fcesOAxUKrN17JitlZR1lLQzKtbWLOFu+edu5SLu+/DNuiVqyaKXfgAe2Ja4Tx/dfsEXaOxj8QNPiGTOKkXmydVJErDDtk1mpK2r8r/vr71zMbRk21Ob25aXQKO1Pl7UVbTHmkXB1iurdnVS2TEY1MUF/mkSndNOIkQ6p4Dfa5wjWGsU8shBu/tN5WhXr7qd9leamnghGkUuzmavl30LAvwKxgXt2rRbZ9blYrFr+2nM0lyKgRCAVcNk+fzldYFaezSCNsTAZe2JyEr0iuRPqw8f7B71MXDZ2jaIg0yfR6ZHj5Okp5pZLa2ZIi4qTp2GXcSXeYoDffFFeFE0jZetsX89pmcGMoogIAhMR0BCpKfjIXuCgCAgCAgCgsA8QADBoTJ6yC1NSiGjiRTe5gx9AcmAMmceLPisnyKMxOqtRDdDD9rCY4987Y44x+jNHLbkFNDGmjDwrAcstQUqmn164LMm3l3dWxSpBYe/52hq5zK9uKBESSMxJZUBlcd/qIy/K759j2lgCrREg7r1nGtNjbOg0x3AhhF+y/cAD7XOitC//7izcfvqLRXfurvhj0+2ryxljURMK4JxyUZus4R8mnO0OanhWw5HG6gnLLzRBPpoO53ToxdXMPGWU8ATFD5U5RzBWqNz1cLhm8BnslIwuFPjqoWjTqGsdTQpCwIZQuAPR/vuq+hN1rrFOplD3aPIjVYRCt0yUBceS5hlcWD8BRrPfhhy+/DERSvrybXYNBDXTx7tVQTjxavqrcuh/IXS56nf1TFiq5ddQUAQSDsC+LnYRIzsislL2nGWAQUBQUAQEAQEgTQigMxDUR+B5Yvm1DoUFGkNvCJsBm/uvL/PPMucGV8KKSAAtYjRMKST3taELqy9c4l1nMNf+TWHVKz0Ehd1YnT8TPErryoMvS8pttk6/oIqaxdpqCFWHU8dgP+RW85DTSjpljOEqPH+1VzBvNAFXFkoxE1/d4Uhqawja8GquwY1GtXO19i+62wGfAO0Li7Q7BlMmnUcXeZbou6uxyu+eXfTw+sUu/hkTL6ID3uMYIRSQ6Lp7JVVNag9CUCGV9TLVJ+LC6BYA8ovlbYzSBrGnAJ4V6s00QsENZlF+Xx/alcX9XWak2+bjEp9ST7PpUVWlanXgFIvCGQhAuHxF8pOjnSPJGEvjYiRQOkxwqpn8Q8nF2jDC1fWY2ytTztwJopY8Q2L7Vl2ETHS8oZtU6ZdszhNOZUgsOAQgE5ExwivyEZB2MUFdwfIggUBQUAQEATmGwJaxYR4KeHEx0729T1zxDQjiZmKojWqnsUFA8fsv/WbxlKYBQRqbnsUJxfIw7IrbkLVtuPCL2maEeGi9eyHr49zjHZbkBdfPPoNlaqx6mcPWtsv2HLCGH8lWcxR1BxaOP0ckcXUFS6VgzEnfyxN1uqTrj2KRuYBdJ6x+ucPcajkVR92OobQeKCyEW5NE6FEDStqK8Yu8huBJh6dAxL0ffymPxz/8X0oJ2PyRR0fvRHxMxwmBKO/b7JzwLmqIa8sakBr1j4MWfp2H3V6NztniFfI1Ned+d6zFmLyxcixQCGl/BajkivGupMWkmlYrWdQhkcO1+jrIslsnddCas5iBAiphmBsnST6ZmGlWqz4mkXVfWMvWE93wZN1cIlG06gPwUBSefm6JmtLKQsCgoAgIAgIAoKAICAICAKCAAio11i8Kg7bf6Z3goNsCZIE1ZM5xNu6MqJdVtRTuh+yxdRLYfYRaH54PZxSYehyqwKt7rdLqWRz5Rip33fVDzENh4aCxNh1qfIE2fYf16FjnP35Z9sZsUuGSRtp7jATGw8PdBbstt3n4MbjoyKLc/I7N+x0VX5q1+CebeVmqJkXmh5cg3yR64VI9dDnb+suLhuub2NuzFmbSlPv9VDrhJAwWmfCA3omCOd0fkKviVXd9gjyxca/rFIE45Ox+Gjki6xaEYwqKNjfN9lr2DmsByueFDhVwxmyNJ4FfkbxmZWWbZsu9kJOgTP9ps9oHIK0VN+rkywlhC2aRsDUNewG+enH/xRyVBCYXwjs6lBWLw2R2TNSuftwD5zhD3bbTbiwd6EeL2krgJqNfO/aRmullAUBQUAQEAQEAUFAEBAEBIEFiEDUYtqol48PLC+zvQHYj77dR2jJG/ECxC3LlwxVAqGUH3q3M63c7ku/Dg3FhpG0dRV1v3uCMFt9yBTwHYZYszZbsGXtfMQNH7crikbhD2ERnQjr7Hm0hOUzKUkNbhghQRPBxTkPmTY+BS4HPOG4xQ3ENMYQBKkqglV9Ea2f+aHLmL9p6SxwwzBh7FoIHHYepcaEXfODAuuq+O49Nbc/EpcvmvhoCMaYfBGCkTBe13GyvxJGEV6RpQGI3nSeRhuTbBbCF6BrrDSVtu9GVJHUKMbS8a1rRlMFItZPtENdkmJCKUKZRk4+akbSVgQJtZ42lOwIAlmAQGnb8P8em0bKBZ8UIdXkYIRg9DGCCT5awJbkmYRI/HOFfc4bYz7aVxe1WMf52rY2Gt+8t8tamdEyBtxbWgdXN0TYKLCb0dPJ4IKAICAICAKCgCAgCAgCgoA/AtAUhOO1k87r8Y04Mljdn3n/5ZUWFU3C9Ila+NR/0D0I1H8CcjSjCCBEhF9CX+c8y573fqsg9B5NQxEBbW0AB7X3/d+BmSSwuvjlH6q9Y1q2RmvLhVlG3KszE3au3a75RuKgXaEYqG6Kq84WF/Q8fSDyt1qSLvKpIqNjfJFVCek6grMS3WP5Z27JC71VM4fEO6NadD6kPJXIU3dedD3JMzeE3rn7sm82P7YBabFzQFtN7/Zy5kZoszMSXP/oQAIEGEjILprV3bkEVxcVHP1kibJ3ickXFRumCcbYOLbxs3CXn1fgSwlUh/pzhqtTSaw0q1OXLJYd0WsJ8H4wtECncFhapD2LnWQgo+mh+NbtLtqL2JWwdOcVtJ0FylcyLtowkd35hcA7chtwSzEMIckMH68J7+lM7IrSM3JmfdMA7GJx6+BsLnlZbRjO8Ffl3baTjrwQffmDlVhpm3SQP913kpYve+C5hkjcC8bWhV0OJfSycfZyrSERJYwigNg2Kmc5R6Xr9KRSEBAEBAFBQBAQBAQBQWChIcD7rOJGYiyBYgYQHcVen61GsdpuIKEDhRCM2XnzTAyOrAm9reglVzqn11W4B/Kw8r/vb35kAwWoKtL32ZqhVfMPj7W1X1C7MPOKZIs9MtBrTi7OoEFKUoRwcQVarL3uZVw8TMsgBRjCLa/7lKYWubi6wGfRSz/Qmb8ryAgJ27AWfmtgkk6tIwsxPJsS5h2uGaprnWIXMY829i6x+GgG4csh4RnntsFwfau5lPrSkNsB3SAeVdMmFo2Otnb2bC9n1dPqk9/BGQds0SXq08U/Fxd05e8CYdJdeslHkz/VQumBrDRyrH5efF9V9p3e2Ky4MrOxu0C0Z3882gcL9+DxUygA8Vz+f49UsnttSavPbdp7+oyOjAauDU0DMHs+jdN+KDwe/cdHKi/JdclE/fZV9Uy+vHtUnxSVI9xpXkM8uYRtJr2jLxBnDSd5f6oCTtuAruyivqM4ZGssu4KAICAICAKCgCAgCAgCgkBGEeAFFjqCF1s0NvHQ12h04HiD5hvRKemzo6uhDZSCNb+ic2K9u/5GM9PL2UBq5gQBku9BPe146xdtZ4fByA+9q/gVV+lw1/p7lmuequJbv7e1lF0fBOD6jMMyikR/coOjwI5WrWfbQRSM/gn9PE8ajSJE5GKhPmUomvGEoi9FiaqvIIJVajy7Bz5A6kXt08RUnZ3Q+Fm/ELqf3q9+odDs4uNT9i7Z7/DCRVHh7aTKXFIIucf3GLwfBb4GubKa5eOqJdQWOiEKWMMDCL3Zt+eoMpex2lgTCp23rfeZI3ypBhGdBjzdWdxM6+3BEEXoUHWTzXQ7SxaOtMxGLRqOkQKHznrtmY4shpcz2yWr6l05N5yiybVY0hIX6a2oCx/sHh2dXXZR3zbXP60Cnwnutt1FV244QX3JJJs3Hn1x38k42WhtyZxJ5PjPj1XpJd+4s916NLUydLT1znGWFwhfnRp60ksQEAQEAUFAEBAEBAFBIL0IEA/YuX4Hr9XOoGZ8VNXr9tIikxeONGvUkHzMiz+BaqC9iqSemEjvPGW0GSKAJ0tu6FwSMCKiM0NR3nrOtQTYhg9WmcqdF1+vGaryz/6CK779/M9bj5pmUrAigG0HjwaUFPc/BR4BZxpGa/uZl5EZc5l2XvJVm9sOz+ax7/1RJ8xcH7oExjhBcr8AU4HXYkUwNsR0+zeHzOneXKa0iw52MTt5Hr0c9TWof2Qp2mu+7jgEmIqnKi7TzRCakvZwPDLkD8LMj4IV8fIIyEloYNO7kgcSJyBcXeyiypmf9WwZAaqWy8RjGN8WF6BBHapryRw5nAJyG1umCRedvBAcYwrDZn8X3JZ/U9791qeU87Le3ri05idlXRWnTjsnPzD+Am7RaxoikIpAlNsQOdA9GhmfZuJs60Uq0+ah8a1tg61DU/+ls7VJebc2PIbS8pylta1DU//CIdL5tYuqWYsrqajPhdSSAHA66iW/Z23j7gDB4EHm6SNf1DeViBiDwChtBAFBQBAQBAQBQUAQEATSggACD97CyAPmHA3Rjn5BQ8ajOQqyfmmRD4oacpHZuqjXurxtdBmqEudEGzZZsbv9vM9BSeHEYWZz+Cu/pgYnF1NDAe0WlcbShXL1Lx62NpCyDQGEbdz2kBjUw8VBCqkHJyefZIwzZ9rhuxr+vNJJEu5425dhjL0Yv8jROphhrh0bHPLMKWJUYYozfHxjEL0lWjtlHL+8pHV5MRHW2R8ZDfvEJWPOtitLpK36QotFdqto8UJ1ZYmhnk2qivPyZYuJT1exYm7VrTW56fBt1Oa2acsuCCgH8EPVVqaRuxefMiVDnevfv4iMdjKKzpqzSXtGrkUSLl6+ruklk7wiSQuvWN8E4XbHIfu/Jbh8HcPje9qHc+vDq+rCsIvQrTVhbOwTx0TvaFfu0mwUMvEgPFzZz5whRdc3DqBUJJXiNcWt1Jy7rNZrcptbhxFnamrxvOV1mLCkcWJA5LxzrDXpPV0aZy5DCQKCgCAgCAgCgoAgIAjMOwQSvgjz/qUCAEdcwnk0baLTrIUnTVvQvGnFIy+5MCr4VqDUYuPFrYVMa4vyB47VzzuUFsiEYZkQK3KN9Hqhv8i4uP2CL9iWz4s5rFTjn1eVvvGa9aF3CLtow8d1V+V8m7RaRg4HswHBCNSEu3oZDbuO46w8/NXfQCRyLfCDth7FAxqO0VrjLDfevxpLF64m9j34g5OH09kmeI36QsjJJ8uiNSY6ePeUW8Lvwezhj8NGIRN0JQlmEQqOh+2aMV1v7FQgprSK28vHJ+U1Bu+ITQyMonbj4gZjg3gM3n0BtnQyjdxI/IySlgQCqeGZUL6oCaKzQMQIBbe2ceDTxa3kJNQM28sffO4Tm1pW1EXIoDh0JvpPj1ahZrTCGB49s6VlYE1DOK8hvLo+vKdjqHNkSi5obWnKXSMTfaNxWSOsbH7TwPFTpzMXQ/2no30YuLAc8ijqRSFrLG5xyXZ4tPf0hwubdZvX5VT/5dipdBm7mLUnJBhpYBpLQRAQBAQBQUAQEAQEAUFAEEgZAV5F21dvJZjOZwQiH5HBOBvw8oVaBvURBUWV5OQbySKv2/Anxt9Bv+TySfwghgXOoaQmexAYqJwSl279989AMA5VNdmmhxIVPoqkebZ62U0KgdHOHp4I9XQsKXQ+g8E5uqaH1m0IXapJwiM33Gmy8K0LXXzoC7cnnBKCwwOf/B+6sxWGLse9OmEXnwYqNeuifH5iSPjLhc8gwQ8RKaxFg+ZLRheoTGPANWvhxxGl057+B9R87xH8bq3WWSDQwlkr014mPhoKETLTn8lE3QrdmoL5eNonPC8GhBvngqq8mpMS0PYVm/vKKuKZh2dxDVaBmX95FieV5lMRTfztne2vicUOa4bt3XmNMGw9k0ygPt+Xnn6eo8YehUoouMKmSHFL5Pip0eEzftHQtOQsmq3dOalXJER6Fv62tg1fW9yKCJOo5y+WPn+ox/4TbcvQxPVb214a4yH5JN1i9/SFp2uSEiKdLiRlHEFAEBAEBAFBQBAQBAQBfwQIVFRvUihzTk2F5CCvsvZSPKFDwYhUCT0P4kYtysLMlHHantpifannrRzaJFxexVHtdjrncWfWdUnZHwGEpjBOcIzOZu25WzlEtLvzkNQkhQBUfO/2cs1mIPc1Ekey5/F8IXoMOBok4cGrfzpJEr4fnoSOpW+4uuzK7wUcobtkX/Err8oLvcUrnJap4jiDUBlNMj8lQDJ7jay/DXQ8uFebdNW7sosaTw6l6yx8PTKmk3qNxJLQOoPQe2L5NjOUiZGbRGeD1Ms00nGzWH4jkG9ag0ZSBbIHgypdoI4jR2t1ug+NM78FADWORUkNmHJjf1LRejTlU8x+R3xYtrUNbmiKICD8xo42rfGDPDxvee2tB07CBLpOiVSEvz3cgwTRerQ/kfqQgGt8Xox4L68hcqTXJYWjdcxMlKf9W2ryBJhN/3TfSaPY1OQqn694sPK6klaIx8mG6fl/MXlJD44yiiAgCAgCgoAgIAgIAoJAAAQ0v0Gcpn4nRe4CcWSIDgYg+yJvWLxtmcFoQ9A0IiXTDF4RxQ7NENWYZlKY1wigXIWwsuZjNMvZ875vo2wcETGqQcS7MDE4DPtnQmhdG8LzG+eXSEUdcimVqjQnP1ndVM+WAyX/+BFNM+55z42VP/4LykarI4nr2U0lyQ0YgVyOXYV7UCDbJIjh/ZWaaTGfPPL8xACZBqNIVlWUzEY8CRdHM+rN4Jko8EVkJuNaoEFazktkNOM7EzDytcmFe9GRrw8mivbJXr4gU+VbWifwhArjViH1hPkS1t01F0oSSFEtBsHT1kYn97A+rbDEeJmZpB9cVu75yOGa4I+V7RQBd60Uon854IBz2wzD662tg9B9qwlqbog8cKxXs2qXrm7YPiksDD7DsYkX8xoGSGyI84utlzZwKW2N20kDHcbNMGwBUjPaRsrILvHg91X0asMXEHj/usYHjp+CUYQ+JYHkj/d2EQ9ODsa24TRzjD4iRnF4yciVlkEFAUFAEBAEBAFBQBBYqAjwMqXjNCESoQd5gYJZGu3qNXiM94aJETOSGN5boT54ybJ6DdNY85B0x2uAIEEvHZQZVgpzggDWHso1OMBf/e+XQVXtff93bG1JvUg9HKOtXnZtCJB/gAQCPCw8FCrusnA3NbY2Zhceg2x+quXkZqX0TbOEBQyjq376AIk0uUb689hNf0jYy9pgpLlTsZ2Pb2zP3YLBkznE5IfrWyN/q+195ghUGwSXzbxYz1wJm/O2dRft1QsfyKSdk498UU8mjSLGjtxSVmRNRaupPH6gMRCZgso3m5Nv5anMoRkWwJ+lqaDs6TpzMywcb9xCaHHBHKYQNPOZXwV9R7mqc2EU+U8blLJ5QtE32tT+aVysP6loPZrGk2ZuKBi/VfVhCEY2xIR3lndDr/37E7X5TREyKAY/766OkW/u6PiXyajqf11cbSSCJGys6B3d0BS33l5ZHy47OdIzcib44Jluuao+glZTM6vvyG0obXOxmHm2a/RVD1Ve8GRdx3TF5gznBsHqyjFSmS3c6wxXKN0FAUFAEBAEBAFBQBAQBLIGAXLBaTaAVyfsAKwv0bY5EiAG+QAh6XwFQ+ZBMLWVc2BYW3fZnVsE4IQLQu/JD73LpnpynRWyOhItwlPV3P6oYTMa/vQUtBWDIJ1y7SWVGgFoeTKX8kCh9Z1KRpqTj3OED+8EHQc7B8OPOG0mSKLc23XJ17h2se1cdQWT+YOY6szfqSyZcgr4KcHnWvNTwlhnD7cKise+XYchVPlyYMmGhGGQzNFcWvY5da5JbtbUYNWRzLr92kIuMWzvzkOmEckfqHERCkajgMB1NC3TWIDn5HYyP/d4jay9rcHHaEq9Wkq9FQESBXBNoY6tlbYyclbC//U9Zk0JYms2w92gJi8tdtehGZ43E90REK6sC1sIxvDyujDx0Vi3QDAWNEWaB92Do81kqvvHbnn25JuXxdk5ODpkfrft766LqI7I//Z0DkFdchbspIm/ruw/7cWbeRDz5lQZKcCLkl5SU4vnPFH7RK1foP3jNWFa3vRM+v8Ly4WAUdQ0LwV2M7JaGVQQEAQEAUFAEBAEBAFBYAEjoAxteVOO6ayIefRhFwFJCzxG3cglBkE5Qzoy3mqhVmbIkCzgC5LZpRM5C+nUcO/KIKepue1RTVIV/cOVO9/+FXhFduEnUasG6b5g2yB2UqRijjJM13QiAsX+sgrNvBG+mongWSfaLYsL80Pv1lfw4LU/96dNnN2hDbW2GS4FMxHSQjrbuNbwlQKvBa/I8iEYYfnOOMyXXTsmW5mQYKRBsmN6tecnFX06k/MQDSdX2XDvpqOmIvk0NekqEGvPtfB3dTHnQnZO40xMw5zi7CtoDT84uy8tGh2uazWJGXmc/f9z6T5IsNrKvtNWmaJXeV5wRMgXof6QFMIxYvqM9fOahsjFufU4myyqOgXBuNdDxAhzeG9FL2HUmprjE5/l7+xq39sZTwBLUsfNrYPEXEOaMTg2Lj7BxX2jZ/adHFnfGDkziyQjodmEcuv5//NjVb8/goONEV263woY02B8w0rTbiftfj6pFQQEAUFAEBAEBAFBQBAQBNKFABm9Yo6Z6JT0e1N3SZnX2LxMwZmQjcq1AfVkY+OQihqbxX/Au05GKr0Q6NlWDuNU8qoPezWw1Tc/vH596B2apOJz58XXE0JrayO7NgQ0TTFc12Krh6PrjIVYQk2Qxs12NNldomVtxB0MmC3tIaQiRtK5oXO5dvmhy5I1/iYNIwxVnMeLyS/PeHu7uM4fTSY0l0nx6tom5crZDJFmkiSOgCxlOQg1iRan4GTakW2rIPHVWxOKDFNYNZwtJw2YfQJxqc/XdQpnXwhdEBiDsFNzy3/70OjiKM1RNvWg7TtGetWMYpJQxEiDjE4gXYNDKiIs1CJGRTDWh9ecCOPqct2W1iXV/QgOS1oGrecaPhNdXhf56Mbm/xtzWIadww8F9xPCn22cG0wjXCUyyKM9owPj7nbS0HmNKPfahg1J2zI0bj1dpsufL30e95ab93b1jbnP0DkBFsuqi6fD4mwmNYKAICAICAKCgCAgCAgCgkC2IdD3zJG+PUfxKUB0pJkErxdY/U7d45ZzTCVmXJQvqsVsu7iu89l+3uegm4KHcCK361y/s+mBPNQ7rgNKpRUB4tAhdryy/8E7KWlZTDBMm5Q5CoLci176ATSlPLP67AQyrwtdTI0tOSpHeca3vPaTmiXeeclXrZkVrTP3KsOuwKRp+SUiZ6f/i1dHXa9JGxTO/s1SOJp2kxe+CUeaOnx+H0HbRgC7Zpn4pL128OE6Qi3C3usr6xI3ncLyHF2QjnNSr+9nR/MXecbRoDrrpcYLAS37tP6GQupR4uJN6g/w5D9zPlkOvEZOoZ4gXx+OkUNeUcApnCujXQzBiIhR5WCMixjD60+ENzQR0RwpalYx6TCBW1qHr3+6DaMTLfkznyRdvKqweUWdPXSdFItN3kkEh85EEQyuOREx1GJZ5wg6xowu1jl469BE42BylCbmL6y9oDmJ7JTO80qNICAICAKCgCAgCAgCgoAgMLcIDNW18ALLy5RrOCREE0d5v7bZy6qX7mVFqv50cv+KntvFLtizt6/eCte048IvLVgEMrpwLTMb9rXYhoDSPBUPDrx9CvOB7N38zx/TnOHuS7/ObtkVN7Hb9NA699EmJmp++di60EW0IYtm5X/fn+zTihgSeTPfAOpLYMXmAYv/i/sZJ2vhQqElVTRxBv58RIxeHK/XLPT3m1rdsiIf4hdySak6Y1JGjYb1E2RIE+F1ihnWQ35yLhOjnXA0gvG9BOcJ+y7MBv0x+2/+O4gOn+tovbtQ+POoKn3+7P4RBG2jGdmdF5HRBifS/aFgtIoY8ZJe0xBe2xAmYHlDY2RpTT8Gyv+2pMYwim9bWf+b8u7NrcN4nTRExtc2DrwvxrldvzXQw9U+PE64tOEVKeQ2KJpxRX24qGWwaSCr/6Fy7NRpFJtAUd49ajCUgiAgCAgCgoAgIAgIAoKAIDAfEUCgyDssgZyuIX5dsXhqoqpJdM/qaDNU1cj7OJxkhkQ78xHD7J/z5lcrbqp/f2X2T3XezVATjJ5p3CbXgyxQO0rwuCGRSkETBc9f/YuH14Qu1JwhnwlJ45ET7dh/05Kt+JVXdW9WOQ2S+mN1cFaaUiPwefT5riDdCRmmS5CWybbBZcPKAumJ8UllsgYcZFlEnKlUf7mlZhoIL10TZnK9IHURvOH9DXdKignssaD+UriO5lwJC6wIqhbNahCTJhTpJMBUftPyFxiByBFl5UPG0bantsTvpZx8Un+MtothmSeIpIvc2Bz3btacHrtWCpSyIvd0lDRcX10YgpFMjKgZv7L1ebykDa8Ix0go8eGe086TQezi80LLpTWeyWCRdFb1ny6YNJKGTtzVMQydSMw1A45PRDuGx4tbB5lMTb/LKZwnnf0aZnv+8jqWiYhxtrns2V+tnFEQEAQEAUFAEBAEBAFB4GxHgBdk3q95t+Ld2blWcr61T755aRsLWlKQ9y8nVtlc0/TgGiim/R/9UTZPct7NjacDhgo/F+JkAz4RuP3q6Et4LVdKPyEIw/Vtuy69QXOGpNYk/WPCLu0rSwtDl+suEFYJ2zsbEJtsvgcg1lwFz6aXYrq8Y8ZNs5kUmA+MIswbGwV2UxiNS6ZVnYa+gyXWLBPezZCH/stM4YwpdMEqiCkRdZ6wr1c6wYQdF2wDblRjDw3IPBp9u4/on9IWLCb+C1dB3NOpRU0wGprRBHEjYqRSWb1gJw3BqDMxNoTf8Hg1ZBox0V9++vmS1kF/Sg3DlEtyG2iMptE2MdIbPntyRMdicyIUj0d7RzWvaGvJLqwjbGf36dmOlXbOxFrD2h+p6tfh4YSE+0dV+3jZWMeUsiAgCAgCgoAgIAgIAoKAIDDnCKDY0fnWXEWJvIVBKWhWhDDP/v3Hk1UKzfkCZQKI36CYVofOt2YbE1gCIkC2Q9c0fdomCUkbAuDeZ44EHG2sN4z+bSaeLxXfvge2UEsZ8XNRhtG9niIfPauJwZGjX7+LLI7I9rzmCc9GHDTZF+HWnIJMbiHmDAmjKLicfNI8osl0HUqTNiq3YRb/sdiWJYW2gGLcwMmyqIPZ40zjmu3ER1M/V0vh6xcSlcmAqo9aErT5DkdwPlfznF/nxb5HGTPFMqOCLVecq2x45vm1ltmcrS1228ouGo5RzwemUQdKa4IR7SIbfOBtz3Y9XtPvxQQ614LPC4Tk7Qe7rYeaB8cYDRdpaEPOggjQn6jExxlrmLUnIhMZCHjXek5mElds1odLWgZwu7ZO2FmGXH37qnqWxvaBDSeavW1oyk6OXr6u6U1La0YSuVE7zyI1goAgIAgIAoKAICAICAKCwJwgAHWg37O8SAPoBXn/mpNLE+SkWAkX/cOVR2640ycdXO0dS2ClKm68O8iA0sYgoCKg8VLP3+VkmYgXnvKZJZFpcBpqYsKMn2wBJgSiGKoQDvDwV369OnQelzU/9C7PZIyWE/g8wlCU+FloVk1/ImwmN52ltyry/QCVqpkZyEZX/xc4seC+JLbxZ21Xp591nSdp97iyCALJBWEAgUzG7MOHns3czLEd0ZwnIlIAxy3aei7QhuxlnvwGFDCA3dp9oZXJldpZsNtcVqh+5K+paYkXGnQwaU5G0Vlji5UubR1ULtIN4W1tgwlpNyekGKZAwX2qaNoXEbHPOMUcODnSH9im+XDPKFPtHLYrIZ1nDF5j03PGOcYY8wn/udnDlOdI7+kP5TdravF1OdUPHD/lw46SnlG3ROiIg3bwuUlLQUAQEAQEAUFAEBAEBAFBIC0IwASm9rqkM5uRJi4t05BBZg0BiIUdF35RB8BCN5V94PsQDs6zo2HbEHrn+tAlMBLOo1LjhQCBtBh5wEhAuDkdH6DsTJQlBJ2PV4jX+MnWMxO0i12Fe3TH/n3HSt9wtb76pGR0ZcwSnoJbQsvkSA45VNtCHkJihDUJgyhurNOej47Y4Xg+yZx8BJkJx8/CBqyRBY5YUkpyKbFDskZb80WKMhCpW1y3GZNudm3aM1DV6EPVZmKxkNskwNRXBHaXO43r0lW014gtKbimjpzhZOBUp84bs/th1wrRDMefze4Q8joZSPzGLtqrlMnyFxiBhPJFm4gx8MB+DQfORF/y1+dI22hr5EPK2VrqXVSOTK/iVDozMdoAMSJGvLNRV2qO0ToZZIpYZr/0AaVa/MdHKskwGfGQXhIAbjpeU9x60zOd3aNTNeaQFAQBQUAQEAQEAUFAEBAEBIHMIYChAzorFeyco2K+KA87BEg+Z4cb0YodXr11s4HKRqRxPl3k0JwjgM4Kj2AEbFxuUizmhd6iuaZtb76ubXnJi9OVcsd/eC9HkTLO+bTn1wQUi1i63ye6HFqPeFuIC5ifTPA8Nrjs8cvRaN1dj68LXczF5QY4fvN90+ivaPTwl381VNVkG8S6C2nG5IcsPtH8TkHod5zRWpTf8/QBZ2469HLIKa3jzKMyM2d1PdsOmuB37KuogTx0rgI0+C5VTDLfrjGeTdmplJTNchg4XDcT1tkqzKXhluMHBZus0bmEZGvIg2GjFs0ZKXBo3iXKwBJaLWFxASx6NmTXTPaKzHl7p1jRqyaNU32iNgwd9961Lk9lUmdpjPnO7EmfCNBVz2k4Rk0wwjFyXuaJ0vIn+7q0VfTLHnjuhm1tXjkViYO+61DPqx+rWlkfSWqB0lgQEAQEAUFAEBAEBAFBQBBIFwLk5jIGtbz6wTVpF1fep6AOxk8F/ZcqAbY6+BE+QQsalWrrTHalRk8XaGfHOIjWoJX2vOdGvRwoiOM/+nN+6N2aZiRuuvbOJUayCDGF+G3T311hIx7PDihmbRXKaNhN1EcmRp44GH7iWGdtMuZEyLHKrrhJX/fil32wa9NefajxL7lUHvrC7aalraBdsHu3l9vqB/CjIQj6YKXmTmFm8IGKU5fR6EBlg6HmbB3nxa4RbfJVGTlaC0GnvvEWF2jbF68lcBQGUvGxsfR9c/P7y8QEk+dZHm3tdLK+XjNPtt6HXVQ0XYxjTHbMuW3PdyM38xnvHKRzO73sP7sXneisT9dacJd+/WJlCvPzZ0/OcMydHcPMk4jjGY5jutvkiwYEk4nRiBhJI/naRWoVbB/b2OKlokSTuaQ6TK5F3RITHHMuKQgCgoAgIAgIAoKAICAICAKzh8DEhDabQGBDti5z3tHOHmLoeBNElxhcsBE5ooQ9asvJh3OYdzIVs/yFUECzisdHQeg9No+P6PiZ5ofXl77xGk03ERZ99Ju/02orxGxUQhwtBHwysUZ4PP10QDPaIqaJqIWC09QTbJXhdZOdBmrD5kc2JNtLtyenHASyvu5b3/RpkjQicCU03kdXya8JzNmZQJLHn6R/DKvIt+Iy/bXAlwlB2ToqPLVw7NTWlYleym0nb5v5ugME0Jsm/vQ+KzwVBGzw3268R/I7wh3FdeFcPvYufv1TPUZkdBwW/d8Cj895GiutUeE/bWiSeYq5mcnKSCA8Nzbssfyg5nXXGA4tYcFrhOD1XSMTP913Ujssv/WpuhkGCOsEjEy7J31G0l4g2ESM+NrAKBIW/c7chq1tnslJilumPF8ueLJuTeNAcKykpSAgCAgCgoAgIAgIAoKAIJBGBFDR8DLYXVzmKijS+f9VdjgPy1fnTGAmI8fqrVyls43UzC0C+i2Yl2KopPLP3OI1GYIB933oB3iC0IzPfR++mXSC5Gnces61Xl2k3h8BOB/1xMUEbAQRO1lEdGU6Mx5cHFGZ/qO5HI1GS/9V5VTs3rzf5WiAKoxIsJmGV9Q0Y27oPCTNnv2iUWR70KG2BtAvCBf7yyp0PVQq7tJW0omvlFlmvWwzTNfuSHNHT+l+E3eMAJXvUmX8MZ5OP4gUZsscANlgThnKFwbMyWqSoZHGAanRIDNJKF/Us6JZkNGysA36W50PxMBrCjy8/Mo251c/C0HzotSc9SlPfmzixdUNkWuKWl7xYKUW8r1nbWP7cOqWWG3D40UtA3qGVf0JnJ2TmrZz1aZGixh1JkYIRobFCdprcFSaxvMFueb/Hjt1Jtn8kl5DS70gIAgIAoKAICAICAKCgCCQPAJty4sRpHm9EKFt0w4F8APJjy09shGB/v2Vm/7+ip5t5T1bDkAiNd6/2n+WiO6Ofe+P5Gk0jBMFuvv3kqM+CBj/aLxRhuvsLCJkvklZAMfr9Wy6jt+xdgdX58DH/8v1aPBKddG//6eDV/+0d/shn16wUlArMNW2NsjzqLf9ykA0MTkAuf36dh120ly2EebXLiJwvieV5DtGHbN2KEe0ncqWfXoi09lZF/kwNeWFxpLN8J+6ku98SFF0hgRKQwUjvaPex0E+2TnrswT5THbkOW/Ps6kF/6wO4p2gaXAjeprfAsCTGr1qKHd+Spjz2WbVBLyCgg2xpgs0S2HaO9tHvrGj458fq9K8Ip9XrG9C15fCUHTBO6W6/3Rhc5xaXHMiUhtOJ7vIKWyrtu4aESM5GNm8lqA9X7CwYbH+ni9eI0i9ICAICAKCgCAgCAgCgoAgkF4EiH3mhYggL9dhVRY1vCdy8p3hnK7tpXJeIFBz26NwUOtCF5FnD6FaQoJRLwoqiZZbXvcpTTPuff935sVis3aS4KkjhXkAkZY5WURkwJoXIpFpcKtlFKdcICVInpU/5I6Kadmw03Y2xWutsevTWBHUlqtS2tZ9fu2iAAQEzbJCQBH6rQxuDNO4tKhneznC1FlbOBcFtpON9JgaSW42Ej9SA+ep9bFMeNq2uCC4Rj3h1Zk2su1E03cTDpVtDSBmWR33NspV17lBqmsBJw+1a4MFW+lqa2Il1nS5PmZrEhAlVIXkV8Qk2vCK5y+vu/1gd30kRf0wdirPnhwh/6GeDNTi0d7T4xN+osDOkYldHSOEUQecs27mXLi1Jp6Jsc6dYFSeL2WJPV8Iqb50dcOB7uQmltQqpLEgIAgIAoKAICAICAKCgCBgRYBQL16X+g9WWisp87Kp06YRWGcMKWAjnRGdto6yOy8QwMklxjFejJ/LoS96+ne4rgWOIpam77x5nULNdWlpqIxGkyJq1APo7R/NEweV0bqsKLjJ7/6P/5grizWPWQs61e0XfIEfC0xNegtdMdWW1RAZjoVvFX6VsJ1I55+0yRptbbJ8lytCCgjbJJW51ZLC4RPt1nq+KjF/6Vy/w7BtkKvowFG7WZtlosx5OaktxSUJV6nUqTK5BCiQFQW6uIA8mUwsvbeHWXLCQiaWn7kx+cZjRZDnzp8DrCflG4DHlpZpFIVax5+/5YQixuDyRQKfYc8Mr/i6nOrv7urc5x1K7A8aBGLTwPiW1kHD8m1uHcTB2YdYhHWsCY8ZlWNeQ8SnsfPs/lBoEeOqunDJdD0n0so/He17zaTny8c3tbj6zpC2ETsYDQ6wOM8uNYKAICAICAKCgCAgCAgCgkAmEBiqa+E9iESL1sHRZmiVC5oc49KiyIElhel9D7WeVMqzjMDxm+/TWsTC0OXJ8sb1f3ySvhi+zPKcs/90PErQNUlxaAQLa8mT9o+2Ob8QYJvUaDy5XBoSZiqOkbHGz5S86sOkzcycYTHBoXyHMHmj6dIEF+G3tuulCcZ5zbqgRWSx/OyiXLAtf4pxiroTDFxfuFbCw+moNzg9Z1y8ZbCZFlWg7pJCm9uIvkxW2+iR57u4apn4mcCsNGFhpkud3f74vKMCDRLdT2oR1t6762+zO8FsP9vYRNSHWOMQDQKugXY4Jr/qocrrtrTmNw2knHiQE1b0nl7bEIHTg11Eu7jv5Ejf6As+0+gfO4MsMLchotlIVI7IFwfG/bo4R0uo52Q+EIxWPSdh4Ocui2s1IVe3uXm+tA1P3LCtDVMY2MX/WFa7vC7iPLXUCAKCgCAgCAgCgoAgIAgIAhlCQIdIT3k04ECBjy10wdIi24snWeOon7XQywytV4a1InD8B/dqjtHH58Xa3pSR6GAtjbmwjcQwDRZmAa0vz0gK6deU8wt58GJBtTjSJsv32tA+dtMf9GXFi+fQ52+jfORrd9japHcXsRzEi5m2dp933hvhQ9Xg42NInd5ZZWI0xN7tKzazChLu6fGJj7aydj4nhSiG5oVdpLtV8OnTJbVDfHsTEG3ry29DnDd6elroKFQwYfjmwtm6pLx7tpq8gJUTWC+U2p7aAhHtdXQh10Oa2WhGdq1MWkBwDnaPRpD0efxBOZZ3jz54/BTb2saBZ7tGvZpi47KyLryxeaCq/7T3eC/S3alybIjAiXoN7DGzyWobCEY8aQo2+eLxvrGXPRCjDWtdEjMCxS3PniQZo1F1Yp/93rWNVDLtyXPK/wsCgoAgIAgIAoKAICAICAKJEZgYHE7QSGmZxp2v/KhuVIRmjgqd0/GYvIQS88hbs21A7ebgzKtmaya7WYgAXPHRr99V9oHvl3/u1vaVpdYZYuShyaiAmRhNX2xE6NhVaOcxTIMFWNDOLE7lXkAoEPhp5XCK/tGW07QuK4b+1VeWNJuzEJZrJdm0C4bT3AQVH+HeLt9ClpnPiyK5DU0gPC48fGeyZCjHgJHsXI7MOYDwPc98mJUNSRhs9Iq2SvhGvvzTbuAFFMwh4Wb7Dcs2t5nsQpn+/+ydeXhcZdn/55/38vr9LvXF5XXfXjcqiwi+oCCLIi6AiIIigoKgorjxogKKoqCAgsqPFoGmFVpKm+5J2qRtSNOWtukek7TNcmVrkmm2ZmkySSZp0unw+zzzTE5Pzjlz5iSZmUySO9e5hnOec59n+Z4zU+Y73/v+UiwRfk/PgR0OJ8mj8k8kvQGjx4khXySeepge4yUsUQjguUyCsJlq05zbBctqY6n+WgfdHHmCJ8OlXUOrjkQli8tqA6gcu06cnOSE3fWc0J52PedGfxCnbMsfVOpTB4+TJK6X+e75lTduOvqzne2/3dNxQabKIv+vZ8uX1oqU0QKbHAoCgoAgIAgIAoKAICAIOCNAyiGSlUBxlePpk719OLdqcRQCDL4fQRWaI7sjkkVcCZSjBH4u1GN0+kX+ZAw3B3NXsp92CITDZXc+mumbo7km/Yo/S6j/9NdeHKIj7Wc2zF3hff7l9zzFVbWPLfJ+yYyPpDibohRM7y/23cu1WTCBturYUKRZETtHZAl2P0QoSIFNfcfJgm/JLHCPT+BZqnSyBItSsa+8nsbkZWoncP7j6gp2DvWmvmV8fqJfJXva/AyMq7fJBzM0k+nI32PpinoXENeWRg6hRpPxs1FcESMB9skkpAUikZVG74iJ56RxMhwjzzN9ovn0OEnNPBs1RjxeJWGTQQCN3zXro7UHIdbOeqnm1oLme3e135R/9ONLazX/9qNXx1GTsDWIgUtwyajnS3YDKsdhO+83mTlPUs+5oq4PXxu9NCSLz1f0DJ4ao6hEuqlrNpJIPpl5yrWCgCAgCAgCgoAgIAgIArMEAfxJ+WKLOsXyjZ7lq5zESN4lDCT1/PV3LkxpDfkNMeyrsxQWe3mTi9IJCwNisAaYJajOgGUiFdvx6TuhmNb/nytq/vwiTALeLit8Z9Oy+cwbzd+1y+56PMJEzWmYt9LTwsPhzR+5gUvwofYUPzuCYHV4j3TxHhml6NE0tvJ2M1GOXpBQGcf8FrD7sJfgWDFNC3K4QYVzvpH35qsiN/ejEMtJzcw1ZtJbXAUOzUs2MhxSPT5hKEKo/UQsKbrGJdN6hzcaFQ6VJ/joZyw73PqB6qZx0cuJAoFHjkKglqGpboE+1j4EBRsdiUd75LhaINZcOEZOJY95M8zZeQgtG6fGtQpzsJKGZmShhDQ3uuzzecu72CVATiUWgeLOE++MuJ+84/mKe4ra4dwgG81DrG3o+1DEbzqvqd/cbt/HwKWy50RO44CRrby1NYitjD1yClt2tA2SAa2pRV5/sr1taCy1aMxtS8vgm+aVo2zsdK0tacTLjiAgCAgCgoAgIAgIAoLALESAhEpkh/pbpFYhwhyav1Qqb1Ny99ZsMViFwcY2nTXGdx9zomKUEFicF7N8fTisjANQJXX0zEKop+mSqbwHs7T9wtvNCe/dO8rImdXU0xiO8QejHOMzq93XC0e072v30cO2C75rMGnul8ySs+CpuXremOzDE/KWQTk2geWrd+IoSzmBy1GoZvsuXun7OB8C3K/y/31K3/TVvvOqH1pgT14e1xB8dJDc2lfZgDGx+WPE6ARSEQQ0t8MPH3qHUgyGH70ROcN2IM0GKhs6cnfqn3XUwhfmoOdUQIVSx0507yhVD17+HvM/BxCejgQjeevJUDDqO8tzYqEZOUxeZrQeVL8Ho0/dWI5xkkURAQrOcLjLoQKe5UnWfkZgbmmXwyQhUNp1AgINno3s4J5h5bfy6RX1Z8w7bKHU6gIjpE7jfkLWs+NMuHb3sUHDwEUTjOU9JxyDp6oR9+rr8/wGtcjOv6riPJOPFncS9scDSbewnypMZFxBQBAQBAQBQUAQEAQEgQkjwHdVxShGpImIZOiHFgwu1ZfKwqjCkIKKJO4pBvLkmEpBlISi+DyRXaOReho6nwvRkb2CHJ1raRap1hOes1yYYgTQo8IBFnzwertmbM/Vv+CU4hg/9k1zrnQkmZr2OY3/XOMy25GOno3vvBoDkZFuKetkxQn3WO3igSoMLoL3WvKUWtaxxx7DJtX/fZnRBvG19fxb9X3f9J6vTLjsHuyQLhSpCRzIHD6LzEx1dMRwOFBSBSFDGBwjicMxf7wwpjiDdhBtBg7WKpY18imtQHghl89YeKfJ8MYeEeIzXyPPQ4g5l75K6/osd4pDpcqbEAfucTKpD9NPZqzXycwnWNNEt1RCMP9kY+8Qtb8mOanVaT8rLclA4HNrj0CgfSv/qGFDTVlCWni1DKeptidKrR73+C/n+/u1lzS84kZ/P8nLkI26JaexLx2sUtoHQ3dta4M4ZWlnzCu/5ZVmXn+4rcWyRvthde8wl5Anbj8lLYKAICAICAKCgCAgCAgCsxkBZcUS4RJJgkORaECh/KApojg/a6BGUY5UmMdPwZHcMCKDNX7jckxgULyoL2UZyiCAXGm+e+JZAEuAMJJ2CElijHjZSXMEtp53C2zSQEWDfZ6wjvnvu26t70LFMZ51k5ljLL3jzxEOak7js2vtFxotUIt23tI4O8t3IJdQLqm3En5JeUVmFdmUI8OUsnyf0rf4wLcepEDruKakrOQjjBn8FSm3iN/0MnVCt+OnDb9opFK8N67lpCCYT1FFtEY+sTVWeIWkZlxoQ26WUTdDW3jzah5d/3IEIWZunO77GudYr5Ncna4vyj+1VDCgOInl9zveUMa99m4HM8kpyeUkL79h7mEUjOYcYbSLEHHoGC34IP+Dart2bPY0MeXdJ+ASM2t7MXDpjmgg9YWBkVMkI2spIzQjttFT8v9BSC7/sL/jbc9VMHm2Gzb5awMj39/a8pZnys2rtizWfPjBF6pgIw0C1nxK9gUBQUAQEAQEAUFAEBAEZicCyighwiLy7R4ewwKCTslEO8G3WhgAeEJLgHGIDQHfv3Sk0QgPwHdhLb0wfzuDPaCEmhEmO+mPwHBbF0LE/A981T7V6t/Ph1+i1iL3NMoxnj2WY7z9EQJW+s4V+Y0dPY8tOkdVc3Hw83ZVsMd+khEGOYyZeKbvTO4yadR8nngcBat6ftTg02CwsdW4BP4qSrlQdHFxHh9BCVTo8TnGrx6J9QI2Zp7iHQScvONUfc4U/vFbknE7lEtXJF2dOfD7ETexnVRu9HiZ+UZMCqeWxKHs/4QZ/5xNMkWaSfOvpC4oqvtE02heCcDSzk97+Gib22U/qQg8WdYF5/aLnVGxrjEWLCLtNYExrna4ML/+6cPn2bR80HQVPSdiGbhg9WLUY8TqBXFjKn9tJQP6AwurNLV42eqGXcei/+/3vgWVV6xpMNbrsgOvSGlKOFiXGDklCAgCgoAgIAgIAoKAIDB7EMAnQue48QXf5cuLjmnL3k6VRVhEF3x0pMqhHvt7PAP17DkEaUAlMRIb+TLF13yXfuRUGiIANwh9VPDhr1vmxm1d7vvY9k/dodux7NEG01vO+RZKMxphJnkt+/5j5PlarpVDjwhA3UAytGdto2CpzlSF2KHMqcfLUxPGrw/kufOQsG375G260oL70GRVsy7HSGhGo+gissaEKOL42CHDV9M45lca0+QTibcMMjZEgHxU9uwpV442IyPuGE7tWcWMja1JCBenSMiZ9af/abOsVB9yKiFrhS7mxzgM3zH3MXfII6Ho99F/Ui36RnOk7CcQgft2H4N8W1JjLdmxtDZA+2/2HjOP1TgwQuOnVrr935E5nv224IhmF7mWpGm65RBT5preFNGMOF8z57NfqsGnxpgb5SJp9GiKvbNtkGASyY3LZUcQEAQEAUFAEBAEBAFBYNYiQGZiy5KNfEWi+hNF3lxwQNYYrZCWkWXJhrNcBZGo++Rbp+WUHE5TBMiLj848HIZIxNHDqMBGO/tZvk/n+D5jFtQVf/v3mmXa9O5rD/30yTW+T7onR09TZFI5bYh9tHzRKm2US404bvDmha6n5kCyZ0LCO/LUrZ+4Jf/9120592aco2sfX6zZY8vQsB9Vv30OIxgeAASrUGSWAMshZBTkoaXRfIihjC6noBdrfszMYR73U0ATeZyJYxgcvrkWpeavKHtLYjL86lRlhfPbkzvsg0fbKaWLYxeZvDyZaULVOiI84UYW5ShipDGV61Up6vOzJmmoNGEQZtWFj5UoB5O/2soqIkp8+/MVcxZXm9HQNRgf9mx3glKRzGgYxb0dUd3gwMkw+5pmhPHDOMbcfzL2O4ZOPVPeY8luZmKkPHtkSq/LVWJOu8gzGbOVPgUBQUAQEAQEAUFAEBAE0hYBvqhSyknnWvJtpe9g/Brdyr8yUieN7EL3dUUrqlGnq028Bd2hmgZnK341d7lvjvpKG/nbe+0vIY7wczGmrj0+SK43WtgJlNYQluO7VNOM9ACJbQ6Q/QkgYFGyUStVk1Go72DhJtChx0vqn1oOq6xvpfkV3rj09kdw57H3w3x2XHwnlj2G7MoeQwslN3m04pKQqsxCWQ0pogTzKQSX5chtOg5haXTkiFS387Mmn+hqGWu8h1Sb1OpKdJusFwMdPqXb1mzR0+OVyatKtkfbLfrw8Q40rnhy2Bna8Pka17UzLBgiEYLanFzPYSrZRfDs3lbM7eCHvBmGbRouh5Rh2DPcT+xz++7mZk6h39OnqFv4nozKN80rh7KzBzu2HDp+AnZx5ZGAJXt6YOSUphmX1Pay73htshsvWFZL8cmueGt55IAiYN+7oBKPmGRPSfoXBAQBQUAQEAQEAUFAEEhbBMjD0l9aEURpBxbyo71ktClOMvIFP66JAyl+RPJFzNGgIW2RkYlZEKA4p66qB8WkT5HsnPfmq4zMXLRVME77b3zAciHff7mwZWk+9i47Lvk+SdOWADlMCALK+SWvSL0r8Uva9u9k5E7SMwnvq33n7/vafdxQqGOEasgX8fTRZGPuGz7Hc+K4nLjcC58P9O9SnMHcLWyk+ghakM3nVdyezRea9zVWsV7Nkanf791XzsR6bZpPDFx4x0Xz4iP3GmIZoeBQcn7BQaw41N5lMMPa47ivwvkWpx6l2TtiOMz7hbc5DwmJ84hdeeXucGssb3xK+W3y9y+vC7Cxw+HsBW0SK0fah0wRAxQ7bbi5OQi39oOtysaovn/krJdqjEMvAyJWXFbbC8HItY7xeK/s7Rgs64qKGx1jktf4t0jxyZ9sd2BW9aAnw6/9etcxSEhWTU538mYiPQsCgoAgIAgIAoKAICAIpDkCAxX1kEJ8Q6EUPyogpEGabOTba9z8OwK0lyVZWu7LNLpNsfuA+6zk7HgRoGoiJJJZr0gPhtEzLCKZ0aTB2gnniB3MmTxm4x1R4ieAgFL3RUyayDV2T2Udb+ctywtQn671/Y+jyFBVXHzHl3lCkDJ2bIwjbLYPrVkR5gxXZj8bq4UkcbNPfaywWO08ky5brKtS0A4afDLzo4zL5zA/A0FCGgnjLIRP74TPLfqr07/Wta/fQaULSgIyED9LeRnIZfJeLp/NMVRZDPy7unt7CWJRKnDyD7RKOV9ZyCOhXZBcntuRUd925HD5/n5siyGvzBs0o0UpN5uh9r72xdW9cGhfy/Pj4WL+I4/4Qy9UY25y/+5jb36mnBg0jZZcY3O8ZV97u+Q391vaLYfweFPyRw74JavqWdQfnTK+C5qDFy6v4+wb5x7+U7FkqUzJLZJBBQFBQBAQBAQBQUAQmHoEoIP0N0ckQIHS0+WD+OaoKceeorK4syRY+007mjKYL492S6L0sW5zu+xPIwS2XvAd6CPl4ev0h5yMs9sv+p79ZMPcFZzCFch+SlrGi4CilUqqqH0arG7CT9aRw6GGKknoioLA+aUkMc4vUF7rX3cFBLJLPVXoPsx9uNeQkBhJj2NpoRDMCRQl60KPlzKpc9qmSGunYPcKtwa8fKjy7mtesrH71RKjMVE79GzmMDWvhb0X7dSBdE/O5V8W2LBh14q+iZrnTOrHpTToaV4xI4t/qfU/1tDyfLqiXsZgizeRUYW1oLl/aU2vnWCEbIRjnEmIpWYtMHxUI4RMu3hVPXURzTTjvbvaaWdDyHdvkdVp2mV6/gHl7cI9wk7FJWxqTyHa/OiialYHl/jQ/g7W/s/yHthUrdWk/b9fqNraEs0Qn9qpyuiCgCAgCAgCgoAgIAgIAqlHAFKiNTOfryqwELjQWiZAjpX+FqOsKuP9YTZBMN/TSdxzj0VoZHYDcQ+Ws+mDAHYeNX96gfkUnnUTxFGsieHbArN08O4nLAFQEBvfdQ1V++zKRkukHLojgJmsftueJhmoPPDyJuXkPmopa/QAH4j8SUeiPZtwlUKjQ/+iPO7vzst+aLQ474TDmz9yA5El3/mDc4BTKzVd/Quy1SdJRHuZDKLMadjXXJgcTjlekppGqlaChsU+OO7QlrKcceO9B/D8MBnIK/Ozp/f5R4T7Bd1tT1SH76JIZsroYu/LSedIfh1QwC7MoZQEDC21N0Gef4vhnPnHGnWiyjUYdRLn5x6CHf9hrQsMk3gbi2CE1JJc6Qk8Br0j4c9nNRpc4lueKX+yrIt+Dh4/gRnKdwqbK3vGkYGOyjG7oQ92saRzatKfvSNQ0TMMraoXbn79wMKqX+061hmvQqP3gSRSEBAEBAFBQBAQBAQBQWA6IoCTC98KdVqiff7kZPG1RUmJBuP/f6/+kk4CVyq9BuxzlpZkIMC3Wm0BXPPnF/d/4zcb3vKFWKNomWL+B75qsTQtvvl30E3Yf8S6UNq9IKCYBGyVFuZ05O5EQwjzANsTlSlGCpyqQnm2P8qyISHz+Ea2XT2mQd/HpozsMa1OB6R2rvCdhcN4sHYcXjOInM10H9YtlgfJaajJtsGJOYoYabTTZZMdbDzXawUjt288FyU9lvnw7wK6yiF/G9nZWJZrQlgRYpENFSUVM3hWsRxC1o6Aln8Xkj6tmTUA0AFmlzcx6kBVI8GOpk6Fzf2ZrgSjiBgn9uCMhF97vqLnS+saqccIwUj6sO5nAuYmZV0nltb2wjF6z6ee2JwTdVVp14kfvdr2jU1Hb9vc/ONX26i4OF1mnigEpB9BQBAQBAQBQUAQEAQEgQkggOoMZRTfXDo2xJfxEMz3SoJdcicnMAe5JE0QaFuzdYXvHEhC0p8pwReLcyYlFn0jYfgF6y+88Ay7rvopLQUf/rpRqjFNFjW9pkGaM+8vkohh4SwzJ01V+33AiTkataN3Soj9h3YMx1TCMgHHw6Ir7+a+t2QWOJ51acSrwjBKZl0oG12CE3IKIhFiE2xBWIPM4dSyi6wLkTnMsEeWKSE4eOlE23WZy1wwT546KGX+pdCe1xpG4xUBnpeeJcZAgHc06MEcGi0uO1rp6hi8qq7XXcGI54tLz3Iq2QgMngpzC7hHZEkneyzpXxAQBAQBQUAQEAQEAUFAEJhaBPimrxRT87PQOsadCSlaKpgSi8lxMo07AQlIKgKtq7ZojlGxRstjskbUAaNGHzFsRjyJ1Zi8JHV6M7tzVb90QTZixVjULsphnCB4q1KQLXlvwIM/+gu3tf7vy7ygXfGruQTXPfGyl2B7DOK35sgPHCwKe4tpXcQP8gelH+QbGzuOXJAFAehN7jVmPVxiGHZYYqbkkGR80u3t+fjGZEjv5WcFcnsp0sgTKz85Gch43+HnAH4sAEYvl/DrHvG82oMVwVjjliKNvtF+lbSkEoF1jX072+LUlknlfGQsQUAQEAQEAUFAEBAEBAFBIHkI4BWrWIuFOV6+4GtxC0IgqbiVvDsyhT0jJ1vhOxvWKMd3mUs1xb7y+sKPfTPTdyaReIKU/+9TKUh0nUJYUjC0LnwXVwlGxQPerW2rCpM0JXLkuafoGL303/i8Ksip7v6E/0IhdHHR/OWMLJSTky8jOeG5TOxCPglhFLkplo1G9w9JdcczFLNKbjv+HdNu4RODS65KLAKb/f3uBKOkSCcW8An0Vt17YmCqzKEnMN2JXrK7fchufDNFntgTXYNcJwgIAoKAICAICAKCgCAweQTCYYQofDuGXIpLE5Erp3MbqcE1+ZGlhzREAEmS5hhJfHZRMTFzEqIHj7Sk4RKm45RIlYVni1Uu1VgRb0Cd55ukwn0UVIyoUud4yZLef8P9EIwoKo3pOe4w50BxFaI4Zk63ylVqrFsNQj6saqL+L/9ahyIuLg6OA01JoyO7qMlGTrlMiY9QvWQdzN3vLa5Kk4VzR6i+SBY5d83LD08uy5RTSUVAmbxE7IkdXaTF5CWp4EvnZgS+mufHFyanUWk1y3uGb9/SjDXMGfMOf3ldU1Wvg/jWfK3sCwKCgCAgCAgCgoAgIAjMJARI0IMl4Htu947SuOtSuZz/WqfKNoZCcYMlIG0RIM+xe0cZpRftSkXyo/HvgDvad/2vLVxQ2i5nuk9M5Ud70yUqWw1yil3Jq8mgUXbX49z6DW/7EvU23foJhbJ8F5EsP2JzqDdfBVXVnm0V+CHYs1PTZv8Xyr2yTHM/6blPKrSmB2O9uudKk/Sq8pERQEbqVNAJH60Y3+AAMoXvu4GKev3PgVrUgmwL5zl4tF0oxxQ8jVhInwwO8k8zptKYAUHLs6PHpZG8A/6x1v9e5/v7YRcdCUaRL6bgTskQGgGctf9z7uFzl9Te/MrR1z99WJtQ08LOWTDduObInyAgCAgCgoAgIAgIAoLArEGgr7JBf0dW323j/Y10S1mneBil63kyMSvufRpqCBJJb3CJWz7+7bq/LTVPGecOzTHu//r95nbZTxICCNgQMXrqPBTirdqSme8pePxB1AbM8V3Ks5F3xufJhY/VQfGtDxFTctvDsQJ0OynAzLYzfw+mIfRM0TkygvVHDcSa2UlExxv+L1Ao7j2nw1nFDdqSo80tqpihh7+T/UEcww3jG3rwL8olHR40PFydyBBlIQ3buSAbnjNY67ffIISXBKBEhQFL5MCzry+UuqTJd76ytz2viAeJ3xd4U/PuUOzuKOFsfpYowapBguONti9Qbu/DobDmGGFxzBvsIqdmH65TvGIsmO/e0XbFmobPrj2CF3N2w8SrL/YMn5rixYxneGZ7wbJazSu+ce7h725uRsc4dCqMDzWNd26VZIfxoCmxgoAgIAgIAoKAICAITH8E+KbD1xZYDoQT0381sgIHBJCNbXrPV+CFSIPd/NEbtl1429bzb9UJ0TRuv/D24fbTRi0tS/OjHOMNwjE6gJnYJkW7ZWR5LMQH+4TGL7ETMPeGa+3Gt3+ZR2KN75OUWLSwTOGRk8U3/46zm8+80X3CaOH4SLGUU0B/dZo/ycjCK8Tu5ox8cVrwV9HqkbE4xoxsr6TxKPqA03ugkjIFBrPEje7ZddByC0bDE/xfxIo4zkBwIZmL1TWuNFrf2JFXNIUyy1jTm0bt0InGXbbvUBWZh4eqApQuacva1pG7E5d5vTreLzwk3Ii+itP8f21gGEYRSxc2djicRlDMjKmi0YNRhFvTJJvxemtBc2A8+j1iK3pO5DT2oUoNnpwGHONw6LW/lna/a36lXvIb5h7e1zFk3FNIbmSN755fOR4MjKtlRxAQBAQBQUAQEAQEAUFguiJASb2WiKmr+uYofzMOATJe8954pSYSzZmb5ErXPrYIKolT2b5LuovKjKXzPCz3fYz2/Tc+YDTKTjIQoAghJAOiNS+dw0ayeYmccMzJwMC2T97GrWeDjt7+qTsO3PRg+T1P7bz8rtW+T9CY/77r7Mn1luGUImtxHh8slnZ4uZ595fBmKOVYNVxK755ybYlCtUYzbWK5MN0O4xKM/sUOtwkFOOyQOzdLPiyOWrrepmaf7DRswtHQGd/Mzb1n0t41BcoddI+Usy4IBKubYOCDNX5Uo0hV4ZCpEhDqD6r3y9gipS6dyKn0QeCBvcc0w/bpFfXsz6/swfTkPRmKdiNH2IscsXvo1K5jg8tqo0rUlXWB1mC6F6J5qSbwkUXVeuEXLq+7paCZ/T/sHyO93tIy2Jz2C0mfB0lmIggIAoKAICAICAKCwIxBAOGKFhfF/Y45Y5Y8exZSdOXd8EJozxyXjGit4ENfI2D9f1xuLr4HkaU5xgPf/K3jhdKYEASgjxTblpFlVFqL1e2gvw3GCb1xrIAEtreu2hKhGZVduLFBMO772n1xNXVDkUTOnj2HLPMZbutk/roGI4I9Q62Hdo6EYk5RAtRySdoeuqVIZ3A3s9tzHVKkFbOK6BEL6ZztUExUYnRZ4FBbJ6X28FtxiUnUqY4NRTyE7vPRY/G4Qq6y4eCTqNGlH0Eg/RFAj5dR2QOTZjEuaR0M6XqD9+8+Zl4FtQcvyKyDc7thg9/cbt4nj70+MLzR32/OcN/dMRRMb+/pwpYgOGhq8aOLqmEaWRR+2Xi7vO25ivZB+WQw32TZFwQEAUFAEBAEBAFBYJYigHkoX37RFCFsm6UQzMRlB/5dnek7M9t3Mcq0WOuDWNAJ1EVX/Mgc07w4yjEe+smT5nbZTywCWsRI+rM7dwfXpAg6f/xaqYmaHpUYG+atrHnkX1TvbPznGnfpnTEoRRSZp30t1J1TxNTJkzoSvZZysYdcjagZod0oMWd0kuY7biYvEIwLsh2taqhzq26iXm/ESAXPrHTICofw9J7T3fWq0twmyc08ze+7TG92IoAM79LV9ZpSsxCJK+v7aP/vF6rsZS+h2t67QOkY95sShzWA0HGlnUOrjgQMajG7sW9LSzCPbPe6ACnSezuGQuknZz3UPXzN+iaNA5nR5EeTJW38PVvRM2dxjX2xRoDsCAKCgCAgCAgCgoAgIAjMIgTC4fasbXxzRFlkkACzaPkzdKkkQaNAq3rwOff1DVQ0rPadR6SlxJ9/Ud76113BWffL5eykEAiHlYMG9P4LueYcdqPPcDjcvb2UgITo2fCYMHpOxo6eKhpFc+fQiU0LcyyZ4OSHwivyOlDZYCckzZen4X5MEWMM+SJL4HMVsxuHCxfm8AAEj7RMlSyQT37vBCMWMDyKjg9qGt6m9J8Sv+hRHADaFtd1bF+w0eEdGlfPnP7rmkkz/HxWo2bVUO7tOna6zCBrfLS4k1NfyW1yXK8+e1P+UeMsuc87WgfIhl4acQCn4mJlzwksUYyAkVAYjm5JbS9J00bjlO+0BEPf29Kq60y++Znye4ra7anfUKxILwdPhe2npnz+MgFBQBAQBAQBQUAQEAQEgdQjgMgNigNZkUepUupnKCOOF4HS7z0Cbdj4/Nq4F5b/4h9E7vnSzy2R9kp6lgA5nDwCUIi498LbsMHwK8Ktowe6Cd8lcti1IzMlUifP/FMDgcqK+EdMfs6xetCJwJaCin0Ha1ma3UOkdXkB2ulYXaVzO6UjHahC2MX1O3RVScvkh9q7dKlbnDtUwclDdX3lddBK3At933nl4xedJyJVngfL5Uk9xMYa7bpHex0kl0xVFIyTvyP8g4uE1bj7lh1Omb23Jj+c9DAxBMiMhkLEwQSFnv1t+URpN2evi0EwolR8yzPl1GPE17um98TGpv4VdQHlyFPXu711wKXQYtnxE4gbq3vdqihMbDnjvarvZJjCkv/1bDnLfP3Th29+5WhDn7W4ru4TcBZW9n7whaofiHP0eFGWeEFAEBAEBAFBQBAQBGYoAkpHlNrvtjMUyHRZFlnP0IYtmfGr2yFTJDLLd5E8AFN18/B9gHA7zTNkKL5Rb8qRORFvTCgs7jLOPsHa5iQtE0UWc8amxCxi1Em4dt4Mtg1GLkkzSUG3CPlYGqiysRNL14eLBwGoBIecMtzhXXUVSuN2UwFV2d8MjtFKJW85uj6GR2krMlTmOSyVNCZ3P6CXIXVBkgcDVjlwsBYp72Bja19lA7U3aVQPA3UDGlNXEmFyC5qxV2u7ltu3OH9gPleh6EcSqGOtH+cXAoqODa6pD6w8EkCyePB4/CqLkHW5Tf1LMQW3p17HGikJ7Zv8wfdFsrxZAjLOA50xP5E2+PvPX1ZLGJtL2ckkzFG6FAQEAUFAEBAEBAFBQBAQBASBFCFQ9v3HIJR49TJe3hmfJxj5nJdgiUkGAlBwkFQd+XsQlcFHQdP1FJXBPCRwrOJv/567nP+BryZPm4oTDfQIXtJ62ggvKTzYVbjfvgqW2boqiXJK+4hT0qLrZzoWZjTmA78HaAACbopcgnr61zrkoF68V4xOJraDUBayi+HwuXbvQXsSQaW6h8lZdwT4Ic8fqT7aXVTmeH95y/QWV0EwqpsiXK47msk8i1cLjNlbny2P5V0CDUjAnMXVsWbx/a0tBCyqDuxuH2oaGLZrIGNdWNalRIxNA85ywVhXJba9vn/kTfPKz1tayzJj9VzSdeKqnGgKOWzqttY0yuyONWdpFwQEAUFAEBAEBAFBQBAQBASBCSAA1QObRB1FL9fmvv6zBKdMN+VlShKTcATCIyc3n3kjN/rATQ8mvPNoh+GwEmWVRr90a//rnt2HLcPxpEGhdObvsbTPsENSj2ELvQg18cdBu0iGNRbSipOMSFihHB1zrhOLEqo5RWm+kOuS+6yywnN3Euaow0zsfGZwb5CH2kIdJ3H3ZZJHD9pJLWjgPgE5i60J9ODHFtfEgoJcZs1Axgq45ZVmAuZX9sQKiNXeHByBYHQRDca6MLHt2M3EIkUbB0ZuKWgmeZwFspFGjcrxizmNDx/orA1MJS+aWASkN0FAEBAEBAFBQBAQBAQBQUAQiCIQCq31/Q9sUv1Ty+NiQiR+03HDJGC6IzB0tJ0bzVPhpTjnxBc7mtONPTQ8CTm/lq5gIGl31/VZLpmOhzpn3EupSahIKD5UbXqZXNgSSZmnLu7ky2+6Q4d0VrvzwGrCbZKZa85nZ3SIR11D0gtT6j7WLD87eKSFxx4zFy84QL8TfLI/6CVYYhKOQGFLEOrsfzLrYvWMoYmm12I5m1y+poGA/OZx30HMXyAYya2ONfQUtrPYe3e14/ai146A82c72+8tar+1oPn9C6poRPc499DxKZyhDC0ICAKCgCAgCAgCgoAgIAgIAslAAGoRKmml79xAaUwZBuNiGE3YjovvTMYcpM90Q6Bz8/4VvrNW+j7u/lQkZNqYWUCSoNp6LRQyOiQbFzIN1/Kpsk42ZpLsHU0ooUbzMhC8E8mzht8KfluaY8Rj2svlk4whLVcXBuR+cXfQzkEnQm+S4U4Lm/IBH+WNJznWrL1c5T47GR45AkJJRoJj1fZ0vEQaE4gAmdHQZZ9YVuvSpzZAQcpoj6HxPyMCv5rA+OxasGMmKxmCsSoNfF7M6xoJv/ZkWde751dqavHL65r2dYwpzIgpzG/3dOhV/7+DwjGawZN9QUAQEAQEAUFAEBAEBAFBYBogQNJr/T8yC8++KfcNn1vt+wRGLfu/8ZuOjXsMKmDXF34GeUiiNDmYjuuhtFqO7zPQTfiMOAZI48xDoPaxRTwVeW++iruf3NWFwzonlHKLVPikpGTvgUqKyyGWI3s6uUOnQe/BWj8ckVcLlUiqsrkWYrBGuTbjN52apVASEKtxfb8YV2+wjjCNQnNZbgFvHBSGFErVKLHDYdx3U2fhfp58g0O29Gk5pLdU3n3L6HIIAsjzyAKOJVAk4MxF1bBtebYqhXBxn1t7hFOXrW4YF5LBk6fymxW7uLwu0DdyalzXJjUY0xm9WBaFqrMgtizzT8WdxEC9xqpdmdR5SueCgCAgCAgCgoAgIAgIAoKAIDAxBEh3LfjQ12CKItuZy30fG93/KJSj9gdBQrbxHV+mfYXvnJo/v2hx94B1LPjg9Zzl1MTmIFfFQgD8qUZIJUyUacPtXbHCpqp977W/5L7v+vxPkj0BGDPDuyRKW2VkGUUakz361PZP6UIUgC1LNhqEv8t88PcBH1xXjBh1eYYyfzFakrdDVUwjFxumEfNrHK55ho3G5A097XqG+mteFPF6HqVh9YNNozvH2J5XBLtuzkB3WTt2MHTrkZ126UdOTRiBm185Cle2tqEvVg8XZNYRsLJ+TEBp1wntqvzGuYexQYl1raU9eDJc3Dm0rDYAu7ikprdt8LTk2xKZ4kPKLX5qpVom24dfrF5UHccNiun9Yme7GL6k+DbJcIKAICAICAKCgCAgCAgCgsBkEBjpDmhnFhjC7h3R0m0IjcrufFSXXszyfVpJGV97jVzLfdf/WnOPa3yfZL/6oQXlv/jH3mvuXe6bk+mbU3Lbw5OZiVxrQQCFUkdeUZRMG6Ug0k2wB6G06b1fUdzyn16wzD/hhwBCmjBCONRx0Gj4mCR8iLTtsGPDLi80EbfDvygXIZx5IeAGwQhHbW5M5H4oBH+FMTRDq8c1I4u8dQ6FVHQHWTuDW97g+pBTLtci3yVs2Nvz31dRTzAiWJcO5VRSEVhcE4BVuyn/aKxRSKAmAFbQHHDDJj+NZ8wr/0tpt7k91n5rMLStNbikthdqkY3ajy6ayVidJK99OPTaRxZVv+P5isdLutmXP0FAEBAEBAFBQBAQBAQBQUAQmHkI7Lzsh7BD0In2pSE9KvzYNzmLphERnQ7A1CPvTVdpmtF4JUm2qzAaYO9HWiaCQCgEkwYzgPCMrHOdFNyz6+BEukryNcHaZrho6jF6dJ1I8nRmZvfo0FRK+Pws92egi+RZm+sNwlcaYaWSAQ0TM7KhITYpuqgTfg2SE64sNeUfk7G6pPZJjUrui+NmoOc4AT6Z1Q2NUa1izCXhMEwvwdj9jGmXgxQiEApHs6QPOlVZZCJvf74CLnGTf0yhCRSPl6yqj3WJMX3SqCt7hnMa+zSvyOvWlmD6CBeNebKzv2OoeziN8rXNc5N9QUAQEAQEAUFAEBAEBAFBQBCYJAKUSoMk3Piua6jB6NgVGqS9V99DTI7vUpgEI4Y6eFW/e/7g3U9QuRFtFbmQxinZSQgCPbsPQwsYvG5C+pxAJ3AgW8+7pfT2RxqfXavMXEweK+be2rK3o2LN8V1mfkjMAbH2kVexUnJ4YwVIu4EApQy0VQoknl2QxnuwO1J9sS1rm3GJ3gn8W3ltY+JsaZ/8obK3zohYtxSVjfRGEzwxLGY46gTSPx8gOM5wqLxd5G8sAsDiso2NHXsUDqvc6gXZce8pfuIMgRB67PVylGoEnq3ogUI8d0lt15CVYVtR18cpNovgEFoy7DpN4nd3kA0dlSyuPBIo6RwawNxlmv8FRsIvVPU+WtxJGUY2aMlpviCZviAgCAgCgoAgIAgIAoKAIDArECDBGfLQyIx2XDPlFnV9xe2fusMxQBoTjgAV2JQpRtY2xzJrkDZ95SpTGHEjzh1mO4/EzoQCetm+iw2dKjs4ief/91f3f/3+2kcXQX6SNW+MWPnAPwnYdsF3vdQJNK5qXV4AATJQ3WS0zNodbjp00JBrmU0S5LUlNKA1v7QBbr9nXzmaxs6CfTo9mdfhjh4zhjwtFG9Mktc2jiQQjMH6ZvOI2lMG6lg3Il9sXpzHhGdJwUwzFO77YOKyuV/LkwDyfErwW4+jizpVc3kq1HOyOM/8PnXvVs4mCQF0huctVXnQF62sM7tFF3ee+GjE4eWKNQ1xh4Y8fLG6F58UuMcCfz8lFtmQLG7099cHhqc9sfjaa1RcJJH8rc+Wa8bVeMXjJrthIC4+EiAICAKCgCAgCAgCgoAgIAgIAlOCQF+5+vq//4b7SX+OOwF0MjBL0Ef6qrjxEjBJBHSNNRRr9n7QiRkZqVF2YkG2x2ps9t7itkD9wU2V3/NU0Wd/vOEtX4gU29RmQOqVQ7Lji668u/K+Z9rWbN1y7s00wlrH7VYHaKkbIklIMI+XzOCwQEmVvqFta7e6LBPOGe5OpyFb6CmqLFKD0XItjYShVba0T/5QyxdhsSxddW8vYUTYaaMdzrNpYQ6EWKh/TBKoETA7dyacIq3hoh6pfgCgmpEB91U2DDa2siFYVTc9IhyFXUy3qq2z816z6qaB0H+/UAVp9vqnD1+7vgnnly+ta6TEIi1vfqa8oidOFsAz5T1YKhN8zsvqvQzBmFnbu+vYYPeQ24dnYOSUPxiq7h22yCPT7S5Amd6/+xjIaFLx0tX1P3q17b7dx+4tap+zuEY3vlRz+iMl3eYv8xEEBAFBQBAQBAQBQUAQEARmLQIN81ZCDeHKQeprlu8iLzjg5KK4o3ue8hIsMZNEoCN3J4SMXQpI7TVtO9u6qhDqTxtMQzLAMKRGpIScFSqjYe4KnpytF3wn23cJT4Vtm0PGtBcEFO9ELm2+shCSP9Agx5lbaZSyhIDtLa4aCThLdzg7eKQFBSOE0kBN0xjhYjgMO03pTjSuIIzY1VHkNknMdUb2mHEjPZLBDa9l6TxQrOhTQ9ZoOTs7Dyds8mLANeRva89WJRYdtgyVli7FKwys0mHnUPcwCkZNlxmvWEXH8ko+0DlU0Bzl5Df6g1xCMLnDpEHDHKKKjPu3oanfqM2Y3dCXnjRj59CpK9ceYXVvmHv4p9vbagJWrnVzc5AyldCw29tOa+bjrl0CBAFBQBAQBAQBQUAQEAQEAUEgBQggkVrhOwdeaPtF38ObA9oq7qBIYojPf991cSMlYPIIKF4oI8tCMJKISkYkTAIUnzl1WkvUgonOMqb2Zt2TS+OuBRkbibo1j/yLvOmCD399te8TPCdrfRfGrQ5Hz8jtWA6Xxx1l9gRwZ42KlOQUa+KIZPm+g7XeOWSykg3GCQIKF+lkANgODT4/y0JhQUHz6NpJYxL5CdaFGZMxmenYp6qE4OTzQiOnvK9IOUDtr4CX5q0EmUzKPFnqsXhp791KZJIQoOgi8rzrcptu29xMyjPiPctfQ9/Iwwc6KdgI50ZitT5LlDm32nIJh0OnwlzINmzqsXFgBPaypOtEvl8xjcvrAp2DbopHe7cpaLlhg/LLfu+CSkjUWMNtaRmEYHxPRiUVGmPFSLsgIAgIAoKAICAICAKCgCAgCEwJAiS0ao4ROqji1/PizgG9nCIY3y8EY1yoEhCgvYBRr0X7CoV69hyCt2Gza8AgHqFueveVJ2Dg0S7a1+/kdrNt/sgN43UfLv/fp/SFsRxhGAQODSaKHdRu7hnBozOajf+FOFLFFSPm0YowzFBaRB4ADZ0LIgMV9ajj2LzQvC79uJ/S9sSWyTAiU7VnZGsyGdGje5+z7SxEIrfJSHhnh8NxsYuzDbEZvF7khXjBXL6mwcgUfttzFbcWNMMcuq8aQrG4c8hQKuL2UmsTAdID3CM1G9c19bv3luKza+qVxw11F/HCdh/6N3uPEfn3suPuYXJWEBAEBAFBQBAQBAQBQUAQEARSjwDczgrf2XBBGHnEFTFS74vIHRffmfp5zsIRh9o6lVgRQil3J8Kklpc3Qdqga3Lki7RczU7pTBK3ur8tXeP7JDedKp1ldz7qXT6H8HLbJ2/jwqoHn4s1B0RW5HozZ82Ojtd7Ola3M7KdApUkO3dsKNJV9RTTuCAbGgqV2tTWrsTlh8lY/Kx795TTaL+hw/hNQ4MfqJyR90gWJQhMGAEUeZBsX8vzo9CDQGM7Y97hq9c3UXJwMB61qAfF5EWzi+RTb2sNal9pR7kjNtNEUpJxwrNN+IUffrGaJf+zfIw1leMoRceGiLwy64jjWWkUBAQBQUAQEAQEAUFAEBAEBIGUIYCCCI9aC02EXYjmGAvnfCM84pY5hWswlFHxLQ+lbMIzeyA8Xi3skJEYqxeOZPQ0oUQZveztXOKISbQU3rFux7MTaBzp6Kl9bNGuz/9k85k3ctP1tv4/Ludp8dgbvhKrfeet9H38ZG+f4yVkeevVtWTmU69PFQkMx1HpOPYzqxpJRka+CFZKyxopu4e4EYkjDHMySizGxRbDa6ZBOVDzveNBZVaW7H66QmFL8GBjW9xuJWBSCERS7KnPickONC8iWH6VgKBOng/UpGY7uy/e0Tb4g60t755fqXlFXj+1sg6FXsfQKe/A1AWGde5zWzBaCQHbl6yGPhrbBkOWfijeiDVMTqPzPyWW4BQcdg2dYtUfWVTtZSyEmkg6P/jCqLDfyzUSIwgIAoKAICAICAKCgCAgCAgCCUWA75jbP3UHOjSYItKi2TcL4VqWF2iOEULJbkGrJzLc3hURs80JlCr/SvmbJAJQi5B1IG8YZEDRwMx05BWZmRnYYJyFSZTmDsYa8WRwEGUjYtRYAeNt9y/Ko4Iij8oa3wXbLrxty8e/bXZy2Xn5XR45on1fu49O4JRiTQA7bCr1aaKMV9ZuoVhjXSjtPBiUZKQwo4EectDubcXUw0wxOAgp1b3L3xNlOEMhpa7M3WmZBtQorKN3gtpyuRzaEegpKuPtg8K5LWsbb39yqyHqdY1W46kw70j1SzuGU9WCgJBs3zmLlXJPb2cuqn5g77GqCQkLYSnhEg8dP2FeTvBkeEVdYNWRwIipHqMO2N46QDweMeb4qdqnPiQIfDP/qJcJaDbyk5l1XoIlRhAQBAQBQUAQEAQEAUFAEBAEEo4AaYz4REP14L6R9+ar2GGDQTL7/LZkwjGeRfum934lWNtsmQNSusKzbuJs2V2PW07J4cQQwH8BskV9/V+QjZEHnZA6ymH39vFVqIPV0UYbKAYnNhPLVZAV2IvDQuNlbKY68SnG80Vz1EgTqx9e6FJfUfd54FsP8swoMZvrH7n51GDUTEjr8oLBxlbXcDk5BgFErfDP8EsawNSjh0yOR4XReXLQyMGEs4/hiHmWVBTU1RoHKhvM7bI/GQSQ/uqbbn3NyOJNd1rjuiCbjwh8oKhxMZnh5NpEIYCG8F2jkkV2vr+1ZZLOyFtaghCGnSesCQhUXKQdexfLzA8eP0E7Zy3tU3JIGjgE44P7Yv6CZp4VskzvbKT5QtkXBAQBQUAQEAQEAUFAEBAEBIHJI0DWM6QivFDlb57VfBFs4ZZzvgXzQ2Pzko3GEC1L8zXHiJqx6Mq74Xx69pR3btpbce/TK33nEr/3mnvNjJNxoexMDAFEjNCJmhyAnIEQgHK0JE3be0b1ZzSG+oOYxtLDeGlJowf7Tu7//Sy3G4cX+ylaeCRyfJfyMLDhJ07GvWMYjSRZQ2KjevVoV0E5QcPnAv1b6pV4sRYyhe1kuVKjsvvVEvi6uIDg0axovalIM0dOaWgp+UjhgYTzZD48nxCezEobJcMxTkke9xTewaQOTV481S9BGIoeITSfDNyI03bhoRDcL88P9C/8MxL0pE5GOh8XAj/Z3kbFxVX1fS5+yC3B0Hc3N1+wrPYDC6tueaW5PLYByv4OVVax3ZYNzZSox7i0ttcyTGlXhGDsT4syjPs6VFnFL+Y0xgWQChpXrj1CMP7acYMlQBAQBAQBQUAQEAQEAUFAEBAEEo4ALhtwQY3PrzX3DIu1/+v30w6jiHuIcYp9zTFqBsl4JUO27omXjTDZSSAC5KqT2Khpxt6SOKWloBFQPKJc6ty8rz2vSKdDUoIvUfNB5sRNP/DN37p0CJux8R1fHn025hR/+/eOlSG1kXT1Hxc6dsUTSD9wUKf5kNdeg30CAU1GQbeivIUwcbx8NjRSa9EQofF4GKn06bl27l2guMqgiPXzfPo1I4uSm+Y6jem5ihk5K95r/H7B24q324xc4IxcVF1g5O3PV0CmGRv+L2QTOy62eUB5Q0Mb2s8OnAxj+ALNaJwaDoXJm4aQ7B5PmUfj8oTvQLHCoP7Xs+XD1mqR1qEeK+kEDYJ7XWhZ60VyLAgIAoKAICAICAKCgCAgCAgCCUMACRll9By723/DKMe4NN8IQICk02CLPnd304Kc+n9kkkkdV1ZnXC47E0AAhtCgYrpeLXFBG8FSNLE6YvABM4lCKYGiNV01kYRK91WgYySNOsv36UzfmTCN6193Re++MSmx+nLUlfZ+IFShMVUKZ2QJvLIKfIdR6+lgivXhWeNfkM0pwtC/uQBi739mtPRVNujlI18krVjd5dE/0CDXFZEnxQ/TEBxSpPEH5xZDapHwTpFAkuvxghmdvvx3ChCAqOddZi+MOQVTkSGdEMDS5ZaC5oCJN7thkx8y7eNLa3cdG+oePvVcRQ8U3DvnV9b3O+Q1I+1b19i3rDbQ51RWsbxb6RWp0Dgwcoq06DUR8xeyqp0mMjVtD+3vYLF3bHErjvHX0m6ctQlb23Bawz8105VRBQFBQBAQBAQBQUAQEAQEgVmJABai8D8Nc1c4rz4c1oSS0jFmFhgxpNRpjtFdyWbEy85kEFBW0RF/EyoxaldlKER3udpQWyc0HUyOWf43mTkY1xZ8+Os8MLGMfowwdg7c9GCO7zNQiBve+kUuIau6KSPbHOC4r5yjMxRzyBo7N+9nU7nh2g15QXZfeb1xFd7T2j2EszyQwyn3LjFmkvodKESWjOSMG20ZHaaobc0WjZh+hcRzf1osPcjh7EQAPTAPjLnAwuzEIQ1Xnd8cfE+GcpGeX9ljTA+dHi2724eMlhV1qvwgSdNGi3mnaUCVW9zk70egaG7X+7uPKRcYYytsCQZPpoXDi54exOrnIrnP9+8+Zp89xjdfyW1i7Wy/2nXMvjppEQQEAUFAEBAEBAFBQBAQBASBFCAAUwRVaMmPHjMuHOP1v4Ygou4ijsbGqebFoxzjtx40GmUnGQhQmA5xEU7QdA5TFBUo4vxiEq0lY1zHPnde+kMeBhRojmfNjahbiWxbsxXKa9dVP2WfjTKe5hjL/oDK+SW/exPJ0eZTZFirtOgF2Rjf0G6u2QiJSi3Q1sz8WVW7j1sPF6Stf8xAsY/POKcgFQeqGoP1zdo5pXVVwgzELcPFPRw82t67r7x9/Y6WJRvbVhXiA47kcihBfkNxR5cA7wjwwPDkIIH2folEpgABsn01l3hVTqPZdeX1Tx8mJ9oygc+srkfF1xx0ziXW1i3YoFC8MRSpxQrXSGHGnW2DlGHU7OKa+kDNhIyqLTNJ+CEqzbNeqoFC/NAL1ffual9aG3i+oufR4s5LVtVravFtz1UsrwtYxqUu5c92tts5SUuYHAoCgoAgIAgIAoKAICAICAKCwMQQwNWl+vfz1/+fK3CO3nnZDzHa2H/jA25dwTFe9yvYIThG2C0j0r8ojzRY2otv/p3RKDsJRwDqzOzfgXoNigYqgI1UZU08JnzQWB2iS+SOK4foeH8k5xJZ9dvndGDZDx7nMMd3WayqiSQ+wyI2v5SHNNHStyo2OD9Ls5qU6eMhtJCreIVYLpnZh8q4Z2GOPTFcaVwj4k/ANBCA3KMxUR7iRrdxd5heV+F+hnbcqOaahunbcRc1gwM0wYheegavcTou7de7jkGgod+zTB528R3PW+tO/KW0m+AlNVaezbi2dTCEiBEukXTpnMa+JaO8Ii0FzcHGgZGp8IAyZhdnh7KT1+f53zj3dNlJTS2SG37zK0erx/KirPTOrS3/GQl2ASTOkHJaEBAEBAFBQBAQBAQBQUAQEARiI9CxcU/eG6+E6jFvpK8Ot7nWQAuH9177Sy5RHOPK02ooKuBFOcZv/z72mHIm8QgMHmnxL8qFukHcSDa0eQCcGpJn1oACjceAup1DR9vNg9r3G55eQWTt44v1Keimje+6hpbKB/5pD6YFW2HkixQPtJwly1ulAy/KDQ2r2mKkcKo88YwpYMwsE5vCQ2460kTLBBB28n7E1sdy99Gk8Zz0Hay1xCf1EGk0HxTq+XxpA7QnTwskMBNDu8iNjqpw52ehPjVKayZ1PtJ5XAQQmnK/kATHjZSAVCKAezI0mjkVWo/+/gVVUG2WdOcN/n6Cf74zzodzXWAYglFLFlH9YdPc61SbEbKxsW8EfWMq1xt3LIpM3lvUjms2RSm/U9i8sLK37+QYiSK2NQ/u60DQCBRwsKgch06NCYg7hAQIAoKAICAICAKCgCAgCAgCgkBcBChht9p3PjnRh37yJDYcXYUH9nzp53A+bFvOvdkuiBrTIRzjNfcSucJ3DiylcQolVZRjvPUho1F2UoAAzIwWp0ELdG+POr8g8IO0gWgya9gSOxmdJb31/FvdKzFuv+h7PC2ILY3RmSct+7/xG6PFvNO+XuX2mtOf9Vl0brSb+TE8TWihNqP58lm1j9QTpteyZCVrnJ/Ve6DS0j7c1qnai+P4j1uumuQhpjwMioJR08L23pgVedzEkDpt16za46UlqQhokxduh6Phe1KHls7dEcDGhWxoO0X26RUqNdhi6fJSTYBGMohd+kTpp6lFbF/YH0vORa8bPBku6zpBurSOJKXapcP0OQXdOq/8ONQrIOjtCzmNfyvrgp51XGb6zFxmIggIAoKAICAICAKCgCAgCEw7BLZd8F0YHksdPJRmmiHEMzrOiuAYr74n/33XmTN2uYRqe7oHLy4ecYaQ0wYC4TAWHnbCzTivd3pLqrTzC0QN5FJ7XhEsAVYplrAEHsLvrfFdwIPEk0CVP8ee659ajn90wYe+Zj4LA8ZVe774c3Ojsd+ybBO8qHGod+A9aGzJzLcYYWsJ3Kz1LsHJnc2MCcpPRdYtL7DXokTgyinumgXb5B1CKkKBckPNM7QPhzYVL2nmhkm6/ay0pAwBnhAtN+UdmrJBZSCPCFyZdYQ830GbBu/GTUfh0MhrNvfz5XXK6+TZitNeMOazen9rS3BJTS+yPvspWijJuL11gABNLRY29/sHlHQ8/f8wjz7nZVWkke2tz5bfsMH/0+1tJJifu7SWFnhavGDSfxUyQ0FAEBAEBAFBQBAQBAQBQWBaIEDuW6Zvzp6rf2GfLWyA10zncNhR4gK1uP/r97vzCfZxpSUWAsj2yC2Fe2FrXpSr5GehmBoSrMCNnFPilbYtyYW0AqU16193BWwhudKHfvqkOb8+fGKk9tFFPGkoXVHJmheIETmXFN/irHTVakxLwqx2trXTmFrWGDzSYu5/9ux3by/lRndvK1aq43AYeSc54/DMw+0OhQ6UMTfuwMdjlmVLOG66FCQ1/eL2zPxhSpm8iBjjYjWBADTG1N7k7cO9gIIOlFT17CvvLirr2vZvSF3oRNx/IPB5PNj4nHH8bJ/AuHJJAhHANxl+bLstT/lHr7bR/kJVrx4LBvIXO9tpwW8aPxSXCZR1DcEfWioWIvCjBU2j5hX1K8nRNYHhYNqL/3YdG7p8TQNrZ8MQB8liz1gEEHa+Ya5yh7G0u6AkpwQBQUAQEAQEAUFAEBAEBAFBICYCoRBfKqF3SIt2jOFrpmQ6OyKT+kbuVPQr/+I8rU7kED2Ym08HLNOhOvRgiBjjpLonaD2QioVn38QTxQaXWPDB63defhfZ06t9n4i0nGWXs+64+E5OQU46TkHzYGZWCqEs1FNbtrXYIJcr3SaOt7OVYFTlFrHVhhdakB0liDKyKIBgBxYxIcSRkoCm8E97u3i0H9LeIvbM7hTOd8YOBbWoP0ncX3lCuneUJq+owozFNyUL29wchDe7a1ubZTRNMD5R2q3b51f2EEZVRuyVLZGWQ9Kfdx8b7B6KkpBUX6QGI5UYNamInfRGf/++jkHYxXVNyg4GNrKobdBS7NHS51Qd1gZGbtjk19QiRRcf2t8Riw59vETZ39y22VlyP1Xzl3EFAUFAEBAEBAFBQBAQBASBaYZAOIy2sOjKuxGuQO8Ea/yx5m9kOpd85w+xYqQ92QjglQwbQB1FbdUBW6gSGFdsVhRBhnJStufAJnVKTICc+uJbHzr4o7/gz8JDgkbRGBER1LYLb+O5MjZoajLxoTqNGL2Dyo5TW875lqXdOBxsbGON6DbJnNWNHbk7WfKQkypPc7AWNxOjq9mwA8eIh7gmjhABBmuczX+1BNRM26YAHDS0TMz8nLgMyv0lWAhGF4gmfIoaCwiDOzbu6tq8n2qofHog/UVf2ldeh1s0/PxQS6d7JdUJDy0XJhCBC5fX4RlddvyEuU9Sp2HM0ObpRrR5F62ss3vBmC8x7ysDl4ERMqwNyWJeU39tYNhCJLYGQ7oSY35z/8kkC+PN04u7j3HL3TvazphXDghnzFMELMnd7lchbgRGd3mnew9yVhAQBAQBQUAQEAQEAUFAEJjlCKA0W/8fl8P/IDAjcdW9yhaqM61jLPnuH2c5blOyfBgzpdlbu9Ug2aLTCIdhYPy4J8/PIqsxRemu4fDBu5/I8l1kkId6hxbazXLKYG1z+/qdDc+srnviZUd3aVIvN779y1zO0lyA1RX54EPIBx9sVJUDHavzwXmi32ufxSYvBoY8J/aHQUtY0X9qPCmvh/WPcUkKdnQGt55G3OEopKkIxpKUetDEnZUECALpgwDUHz4vH3qx+sBo4URkihBr1GZs6Dv9c495wv6BUHlPzJKD0IZZ9QFdaBHJImLFzhMnzZeb9+EcNcdIbrW5fWr3v/2KKkHJdn2e32NxxW/mq0vyx1atnNpVyOiCgCAgCAgCgoAgIAgIAoLAtEMA1WKO7zLNDu297pfu8+fLvuYYS29/xD1SziYcAVSm4E+1TMee0SORKE0Azt1okBxjEti4/8YHeGZW+s7dfuHt1Q8tqLzvmeKbf7fxXdfoBwk7csfkZWMC4ZHoN1bUhnlvvoqr8C43zuodyCUzIYnmreVltcD2nO2INv0Lcxw9bjRv1lfZYOlNDkEAPAHQKKyH7QtGOSlGBjklc/Aom9RpvI753SmetgwnCKQtAn8pVRm+0IyoGc9+KWplgomJ44SbgyFypa9dP0bVvLdjaHhU4tc3cgpeMbuh79DxE3Z/anuf0JgIHXOb+uynpqqFipFXrGmwl6Z0mY/23V5Tn0arcJmtnBIEBAFBQBAQBAQBQUAQEATSFgGDY1zhO5tcOfd5Nj6/Nsoxfk84RneoEnxWEWurCl06RbGmC9xB4KD0S17ZtJLbHoYSzH+/1TGcuZEAu+XcmznLQ4Jk0XG2qNc2vuPLa30XZvsu1oTkgW/+1m49g+e1f1Ge2ZoEPZ42tGWBbVnbLHX86FYnR5Py6TiuNCp7IEp3ZqiinT17Dk1JAiyCydblBa0272/Hu9O2ZguzdWSSHeOlURCYnQjgDf3hF6u1bI9U34cPdLq4r0CmkT7cNXSqvn+EyoSak8w0lWfsHIwpWXSEN24CsuNV6dOoNZ+g1xovkzp95iwzEQQEAUFAEBAEBAFBQBAQBNIWAYpuaR1jju9SM6XjOOHGZ9eST735Izckj8JyHHeWN0Iwuuewa3ygi7XHR8uSjWYFYKLQQ5qo2MUPfNWefhsdIhwuvePPmjmkKqN9XDKms3yfjgTMQfSILtEeQ0tn4X5sSiDEhruiXqg0GiyiUuItyAYQHCjgzUiX1sK89uztKS5E6Tj5tG5MbU60GQp0toNH23E2p5wmz3OoP2g+a9kP1vq5y46J8JZIORQEBAEYRYSIdYERPKPd0fhrRPH40UVRQhJi7R3PV8w9dNz9KpezqmZj3wjJ1C4x6XkKpB4r6XxTpFrjj1911nym58xlVoKAICAICAKCgCAgCAgCgkA6IID0q/r388v/96myux4nR9JQjpG0CLsI7bPpvV+hRJv7VBGSUTrPPUbOJgqB3uIqCjAiz8OUwUufyuMjezvkDOovj7moXrrVMVs+/m0eEjxE3C+p+PU8wmCtY8nkBioaYlKUuutwuOOVPVT+hIyyPGwwVKBhpPqqlcI3vpBLfT8hvd3vy9Se7czfo+4UvPFLG9TOolz1bNs/ScLhnn3lSmn58ia5oVN7y2T0GYMASdAr6vq+mufXfBq8IjpGcqWX1Qa8pEI74oDrdFnXCV2GkUTpluBoorVjdJo15jb1f2JZrZZ98nruklrMcf7fweMDLurPNFuCTEcQEAQEAUFAEBAEBAFBQBCYKgSwAtFuGhHxWNTbFwqo4ldz9bf4CMf4Gc7mv++6ke6oAeVUzXa2jYu4y7F2Ij7RiopZmKM8fxdku4u+DNBIREXXl3B+BrZwhe8snFxwWjHGct4Jhcih5lmCynYO8NIKx7hxF8snpfekTe1GSjju0sHqpsDBWh5dj74hXoaVmCQhgFK6c/P+5kgtTW6rsZEKTXZ/775yHlruOM7XnCLdPhY7naTpSbeCwIxEYFvr4B1bWt85v9Ig0972XAX7KB4nvF7Sore3DmgvGKjFwuZ+/4Czp8yEh0jehRjifD6rUaOBG84Xcxp/trP9d/s6PrO6/g1zD1+yql44xuSBLz0LAoKAICAICAKCgCAgCMwABMhLXen7OITP1vNvrX18cUtmQd3flu689IfUXaSx4IPX63TagcqGHJ9wjKm+4ZBj2qLFXjtRVVaEWhxlY+IWyTRPPeGcGzweT8v2i75nHiXWPn4r6tH68NdjBXhpJ98ZoonlY+wiYjYviE2LGES2kI1dr5aoopoZp5lG/Zw3o2wsqdKUMpU2u3eUod1tWZoPYY7VOFSkVGWcFndZJjm1CFT2DN+/+9hHTKnQcxbX/HZPR01geEmNcppmf7wzRNyHhcq6xj5IRWMjOZo+g9NB+IclDR7TGOKw/Lc+W37vrvamgTE/lqHn5Cz0o+F6M16IJF4QEAQEAUFAEBAEBAFBQBCY2QjAC63xfRIuEYsWy0qRDOG4AREEr8g+Z8ldzfZdQoty8TguOkYLYMk6hG/RtRMHj7TYx6AeHayLpl9QotoDUtOCoowHA99nL8Ph+4zVy/rXXeEl2C0mFIJfYu2QS9CtbpFybhoiAG+MTLdn92GqN6DR1Q+5fvW/uK76Twvr/r4Ub3QIRpSN5FZj/QPTKBzjNLzVMuVUINAzfOrJsi4cpbVCj9f3ZFT+cFtL0bHTekXqNL79+Qr4Ru8T6h05ta9jaHldQPOKOE1v9Pfv6xiEXVzX1E8jasaitsFQnAKQ3gdMcCSw3FPUjgMOgOCjffuW5lgJ3X8q7iTm17uOJXgG0p0gIAgIAoKAICAICAKCgCAwfRBoeGZ1LIlX0ZV3wwuV3+OcrFp256Oc3fCWLwy1dOrl9pXXa4dfNy+P6YPMdJkpxegCpdWxZqsqK+ZEKivOz+ouKpsqK5M1vgugDUP9nur5573xypW+c2OtyHs7Uky9dl7jZ2d771ci0wwBbvRQcwcUOkU+qbFZcd+8su8/Xvb9R8vuePTgXY9X/npu3T8yIRih4jte2Ztmc5fpzC4EagPDm/z9EG5s7HCYDuv/S2k3zKGmFiHTbtjgz2roc5QW3r2j7ZaC5ri5wMrAZWCkoDlo6BXzmtRiLURiazCkKzHmN/efnDobKcdbgBYRX5t3jWaIX7O+6eDxE46RuhEpJinkH1hYla5cqcvc5ZQgIAgIAoKAICAICAKCgCCQAAQO/vivkIS7Pv8Te18YZMAIUWsxPHLSfharF8UuvvWLml3EQlrvnOYY/zu2X7C9O2lJEAKDja0UprMoSFVlxQOVeGSg72pdVYjzS4JGG0c32z55Gw9M6e2PxL0GRhR2EeeguJFeAtAuaucassgNZyIvF874mIQnwqcLYuGw/6UNdU++XPGbfx788V9Kv/dI6e0P1/51Mewi3GPLioJ0mafMY5YhALkGo2gQbsYOjVbeLbXIrKnv09TiuUtrn6vo6R2ZCEMGnVjSFeXfoA3X1p+WLCJW7Dzh8H8RepWsXXOMZV2npZKpBcB5NHhUDQuqzsIWN+d643q8b7hkl0nzaZySHUFAEBAEBAFBQBAQBAQBQWBmI3DwR3+B81ntOx9rXftKSXnm7LYLvms/Vfb9xxS7+LYvDbd1cZZXXGBK7/izjuw7VKd1jCXf+YP9WmlJKgKkA8MiQqT0VdRbBoIEbs3MVzmkC3PggS1nk30IwwlfzUZlPPexMIDm6dp79T3uYcZZvMvpHAFbLMYMjlHD0rl5n3HVLN+BxcUACHdmkuhj4ZY+EPFjR8+ug50F+6ijCFsed2Ktq7ZQpBGz+5bM/Mbnsmoef7ExQ9mFKwPxhTlxL5cAQSAZCDiyi5pm5FQyRvTYJzUVocWuz/Nb5IUeL0eaeMWaBioQ8qov6Rs5ReIzGshDx094cZqmwiE45Db1eRwxNWFYusxZXL24Zhz1Xi5dXQ+SpISnZoYyiiAgCAgCgoAgIAgIAoKAIJAmCGgJIomrsew/ugoPwPPsufoXlgnrzGgYRc0ucjZCRZ4JUXmyN/oFoe9g7a4v/CwU9JQPa+lfDieDQGh4BB5GV6LryN9jSX5Xzi+F+6NnN+6ynJ3MuF6u3X/jAzxRVPXEOShWPFRSxEX6TF3YM1aYuV0XWlS06oJsiESYqGB9s8VHGFgQdhLTvb3EfO2s3ae8qmGSAu3GU4H2NT0VnoF/VxtT5Saab9lQexe3m8R/TKbMxCMEY8uKzThSYTzd/NLG5sUbNLvoX7iuaYEQjGYIE78PX827j7oNMP943A/623g/8rzxw1OgpKpnXzn3i5+0ZlsxTLKDDcmi484U5krDoUGLPbB3HMUDETn6R11OXqjq5fIz5h1Gv2dQlJ2DMSWLjs8c7tKO7VPbGP/HDNP8NvmDsKzg0JqWazHNVHYFAUFAEBAEBAFBQBAQBASBRCJQ9gOV4KzYxe2lsfrVBCMyRXMAMkUuxN4FOZy5HaEj7dA75kbZnyoE+DoPowKfhr0F0j7LNII1fn22hbNH2y1nE3WIUtHK8vUP7rj4Tp4TdIwV9z5tyeNmXAhqzKMJ4Pn0OA0cYfDvUCtdnEf2t8FE0dK6vAAfbagnzXvDprYRMD+rd1+5x85ndlioP9i9o9SMGBhi0Gx/YKYQBzyMuGVQoJi5BI+0DB/rNibDZxenjA29onEW2xclX8Te5eWovcsowZjTsjzf6EF2JoZAECPvbf/mh4yODUVUN4X1BW0+atSnis3a27hBlh24x4mNPk2vcpEvTrmIEYuV/5x7+PJR/aE7wjvaBn+wteXd8yuvzDqiI6nH+Pey4x1Dp9wvnNlnF1f3UoARohWD6Zm9UlmdICAICAKCgCAgCAgCgoAgYEZASxARksVJVg2HtSs0+hN9OQX0FLv4zqst7CJnddJ03RMvmweS/SlEAClgO+66MDAZWT17yi3iNOX8kh1xfuHs7sMJnyfqVh6w3P/7WSvnHA6X3PYwTxHbat95B7752/p/ZBKD5Kz45t9Rd5F2Gsc1H4hKzTEikUKiCWWK+lGZfUQoVk1rEEA6cO+ecjJkaQmUjcMFdVyTmS7B6MoUHxt5PPAZx17ZTA1BFqEMNPi6qVoUokRFWy3MsX/gkBSvJr8gGzkcDkc8Qhy2rtisPYy6tpdE5Ytcflq+mIN8EVnvVC1nxowLu6jAj7EhJNZPFLeD+4LAmPKnnZv3I5XnoeK9yf3qK687Ocv07Zm1vY7CRaMRz5cpfEK+mX+UFGmXdOaawPBv9h4jZRgOTW8fW1zjEj+utQyeDJNVPa5L0ie47PiJL69TpRfZvpLbhNVL+sxNZiIICAKCgCAgCAgCgoAgIAgkFQEtQVTsYlGcUnhMQ3NBe774c2NfsYsmEZEx1fJf/ANqqObPLxotsjP1CODtsq9cE0d80x8ZTWDXE1POL/srFP2YBIIRSjP39Z/VRCJe5BadJORP4dk36bPm1xW+c4q//XsLF+oFRjPHaI4f7uqFyugs3E8tPjMfAj1lDptt+2DCfYdUZMdwFYebHTzaDnekzYA0XOBGTqtR+iDFQJG1zTTszye1FxRRnJFlfq46X9lLMCtikif7gy0rCyP50RuUefS/ItUXF+T4F+fNtszcZNwyNK4UcUXHOHikhVsA/YtvFMAiEjYep2SMO637jEswEpCGC+wcOvWPg8c/vUKVFtQbrsp3bm3Z3paY+idQiyvqonYw2ZGajWkIQqwpNQdDt21ufuNchQzW238rG5PWEesqaRcEBAFBQBAQBAQBQUAQEARmBgIYqmo+B7WYlxXxLRI/Xy7Rma0b33WNI7tIV1vPu4UwijF66VZiUokA7t5Kn6adXyqtN0jdUA+uGROYMCTejs/8QD9v1OesfXSRZSDoTRhsanVuv+h7W8+/teZPL1C0bQID6UuiHGNGlGKy90O+Njm2sFXkdaa/rYl9/olqAWSoOcg3GEXHPtG+duTu1ARj9DUjC/puMnfHcaC4jQjemIDd9FxldkM87jpo7oEwGknx1o3wXZ2FB1opvImQVZlH56NdFHbRjJjspxKBdE6RtuOANHFpbeCa9U1UFNS8IgQaEseV9X0Tspg+PcLAyCmLZTYGzdjB5I36axcdG0zOv0in5zD5vcBI+P7dx976bDngvGHu4VteacZEe/LdSg+CgCAgCAgCgoAgIAgIAoLAdEFAyxEpf6c5n8r7n/Ey84ZnVuv4DW/5wkhHj+MlHRt20e2md1/reFYak43AcEcPbB7F0LgRmJiQ/2stfojzS0TfBQPDDo4nyZsSRRGRs2obcf3kGK8FH7xeJWsn7e80x2hz0E7amNOvY/0kDPnbXKaODq09r4j0ZChZ6liSpMyTAy0ZyxDKpavJnFJTXZBt6QH5IvMh/93+GBMMNWqJl0NBIB0QSGeTFwMfkns3Nwe/U9j89udVOUE2XEsuW93wTHlPz/BkU5jLe06saejTKeF7O4YsNCNzGDwV3hihGSt6ho0ppdsOCdBPHTz+3gWVGp/PZzWWdJ1It0nKfAQBQUAQEAQEAUFAEBAEBIGkIlDy3T/C86z1/Q+Z0aQ8a86n8jfPehl0/9fvJ36F7yzHDGjoLNgkhI69xVVeepOYBCIAm9emSymOrYemTDH2HLKYRPdVNtAOU4SgEVljAqdhdAX5A4vI05L/ga9WPfgcNhxwRFTmLPrsjzWzzStEd/KEZAbHiLeLMSvZMSPQsmxT68pCc4vjPiJPPF9QmXKW26rEhBGaMZUcI7X77ARjVL7o5NQD8cjz5rgcaUweAjC9g41tPCrcLz6OMH/haemrqJ/NOmFHtF1EjJxyvCSVjVBncxbXaN6M13NervnD/o6Gvpi/RlX2DKPie7Q4/j8lWEtr5hB2kYToZZFylKvq++x1F5nD2oY+ylEmqrpjYgFcUdd31ktRiM5fVrshDe5aYhcovQkCgoAgIAgIAoKAICAICAJxESj5zh80uxjVj4VC5KVqjrHqt8/Fvfy1UOjgj/6i47ece3Pjs2shHKC2IKnwi4F45BRCx/j9SERCEeAuwBRBGHbkFeFvQrIzd4Qd3EwQm9GO1YLFHYMyjNoOg4DBhtaETkd1tvfaX/IwkPJs4TY5BeMHzaifIsxcIDkTPrru0OAYIVSTNMQ07jYcpsQiD4yXJZBODmU3EhjQwTxdmqCGO/Jy+eRjdIo0Al2jK/aZv5IvDlk1TmR288xb8qaNC2UnSQhQ9JLPGZC3bzgrBUqqYmXiJ2k+6dwtmj1HjpFGu5xvShby1dym9y2ovHtH276OoVgTaB8MUWzwwuV1mor8wMIq+EP3v7KuIU0tNkboSsJ3HxukZUNTv/3S+sAwp0q7Yk7AfazkncU7Wy/5gy9ULazstc88eUNLz4KAICAICAKCgCAgCAgCgkCaIFB8y0OwOmgXe/cpMVL0D47xqp9qtgel2Wir238x5sAaRl+S6TtzdOejaBehHdyulHNJQICv7UjR+FLv6FcCD6PL6EHFWMWK4TA8c9uqQnjjxM4LhhO2Of/914VHTsbqueLX84yHZ8cl38ckIlakSzuUl3vpSINjHKhqdOlnFp5CO8ozg6Wvl7VrjxW8PIxgMqa5nEx8oyWpO3DgDAclDnnIQBSB1M+8owl4oLiK4GTQ5kld4/TtnDoM0V8ruEdZ2/CTCtY382kTrPVzg2jhdrBRukGcX8x3mVxpGEUsXdjY4dB8dmr3O4ZOxWILMUdeXBP40rrG/4x4mkC1UZXxhg1+BIexLjHWQolFOEOLGLKs6wSNxZ1WIjEUDmfWBdY19hmXp8kOyePveL7ikQOdpHKnyZRkGoKAICAICAKCgCAgCAgCgkAqEcCTN8IuXqhTHccMDcf4+Z9onrD69/PHnIpxADvRMHcFfhyrfeet/4/LCz78ddhLkuNihEtzEhHo3VPOl3dHdlGPikk01fOIgf5NjT0HLi08Try6L1sbjusHb6Xv43Hj7b1BWah1Lcxpz96Oyg5aAzGnJew0x2jixywxs/EwHEZvRu6zF3oZehac0cSeBgoB5CLlyJwyygixJXMgUZqCkFqX275+B8/26SlF9iC7CEAyZzESsoTJYQIRUErp+VmIqCGiHbvlZ47WVUpi3VXoidB27EQapxYB3mmb/EFMTN72XLQqo1bx8frO+ZVX5TQuqQnEnSEpz0tqHAy84Fdp7x2xVncsaA7CPU7STSburCYQgLfLBK5qCYZ2jjXdxn66e9I1LScwE7lEEBAEBAFBQBAQBAQBQUAQmDACof7BTe/9ylrfhTFpqFCo6HN3RznGhxZMeCC5MNUIRGgiauKRqO4+dGfhfr7gUxvNPSwhZwvPvolnaehou3tv6Bs3vO1LCB23XfBd/exRFNTiSuPSA5EUeWvJzNd0k2KfIhs517QjnSIrXNNfBscYrPG7dDjbTmnaecBDmjNlPMF2qLnDDBH8HnRfyghGnnA4ZF3+kTvOLban3PLDh5bSxfygMy9A9hOBgCafW1dstt8Oc/e8W3UZB34FMLfLfvojUNp14hc728mANhjFjy+tpSrjRn+wdTBUFxihiOJnVtdz9paCODcXBSMco33J1GCkHmNhs7X+5ObmfgjGQQoyTv8/ikm+J6Pywy9WD0cyBgz76Z9sl19mp//dlRUIAoKAICAICAKCgCAwyxBAuhYorXFZNHX4jcp41X9c6BIpp9IHATg0mB8vuiBK1ZElDTOTAhHj1k/c4oVgBMaaR/5FovRARQOCWFLsuWrTe76isp7H84e1BNxXoLS6a/P+1uUFZr4RcSMZmpTjQ7gLG8Yp0jbH0/dMjgU0AAEi92xiWDuUiqQkW7jE5pc9ecQkFkFoRujik/1Bc7e8C7B0IV+bqoy8HbC9tisbzfGyn0AEqLGgpNHHHVgjyyh88qgPq23/trTLYXoigEYP35bzltYavCIc4892thd3OnglwwDi80LkC1UOAkVjgbsiFRcdfagPHleJ0s0Dp38pIwF5aW0v20jc1GtjgPTeuS8C0Z+KO/+fyX76mvWnS0+k9/RldoKAICAICAKCgCAgCAgCgsA4EFAc4xU/0loymJ9xXCmhU4TAUFsn39nxaPYyvq5Nh3u4l+DJxOy9+h6eIkRNcTsh75XIhqdXEIk+Lcd3GYf7rvtV3AtdAlBSKb6xrIYCgy1j+UawEotzM3SgBCbwcsqD46RDwUwadW6ypUgmpK4ii7yVcDSPmIx9XSVALQTP9KIydyldMiYwm/tUBQrW7/CIAKQ0TLXHYAmbcgTmLK6GMyQn+tuvHMUo2V1HCAt4QWYdwWgaY828bTAEi7itdcwPBDqYznMaB5A4ar1ix2Aop1EVbHRxmYk1Stq2k+xtTjD/xLLavCaraDNtJy8TEwQEAUFAEBAEBAFBQBAQBMaLAHzCzsvvinKM8WrojbdziU84AhQ3g1fxmPisFGuQQlsPJHwalg4jBi4fxbrF0m4/7Co8wMNW+cA/9SnYv4gX+Zm024Mn1qL4xpbOCN+4T9lMONFoE+t5Zlyl0595MKjHiM6ThwTEECsiXCT7lXxzTtkZJM1MYhycDiAgeaX635C/ze4onQ7Tm8FzwGWJx8O7YbfOyvdeBmEGQzctlra4undRdS+uLh5ni88LhOSD+8bUUrBcu6VFlVVs6HdwtOkeOrWmPrCsNkA/xLDhLj0z8qMBYUfboE4kByI8YjIqe7zCakFQDgUBQUAQEAQEAUFAEBAEBIHpg4DiGC/7YZRj/POL02fis3GmsECKGnppgxfe7GRvH8EpUJ0xUJbvIh6hhmdWu9+V0jv+TFhTRrYRVvaDx2kpvvUhoyXWDrQS+c6UdMPRODQ2ZzbWJdLuiMBwW6e2y+HxUFtGZButaYmFh4URIkOZR65lyUYvBjGOI0rjzEBgKFKiAfmrx+XoNHbx3/EI17QL8w+EYM++kuuW8wtdqb2ky7rG2EZDJNICwaipRTKjSZo2TJzYMfanHSzVvcNfy/ODDNvbn694/4KqN80rt1hpT7tFyYQFAUFAEBAEBAFBQBAQBAQBjwjgvrHjMz/QHGPtY4s8XiVhyUAALVlfZQOWFhRa7N5RimTRMgoV5yCFvLhawCMpgjH5CkZmWPfkUp4fyiriymGZsHFITbYc36UYkZsLuOEEwYV7r/ulEWbfCdY0UVkxyoaNcmIduTsH8IkORQro26+RlngIYMqDFA0/bmWkkpFFKiuso92Sg7tG2T3ATxP5YrxlyfkkIsCnE08Lbz2PY2Dw7aVygsfeJCzdEOg7GX7904fxMXGfGBwjcj6IxBV1AdKlMVbObVIu0ppaXNsQOHT8BJYoRidtwRGIx/rAGNFj5wmHkg7GJWmy0zF06kevtp0xT1GLZ8wr//GrbZ1DpzJrAxzelH80TSYp0xAEBAFBQBAQBAQBQUAQEASSjYDiGC/5fpRjfHxxsoeT/h0RwH2DxNUxTBoJ0Rt2jfT2GfG6DCMGLnHdW7SRdIpcTsLh/Tc+oJ+f0u89gqbRmLDeYbY4mxNw6KdPmk/Bf9JYdOXd5kbzPiyrBgSmouvVks7N+6BYKb4XbVxVeDIwYI6X/XEjgEWKk1qoY0NRK9Qi+kbKfia/kue4py0XTAUC2kycmpxxBx/0t/HkIIiNGykB0xSBF6t7oc4uWVXvZf7QjPs7hzSpqF8LW4J+k8mL0Unw5Cnox41+Va5wOBQu7z6RHSnP2Dt8yohJtx1W98cDnUbFxRs2+GtMBOnFq+rfMPewXcQIqVobu4Jluq1R5iMICAKCgCAgCAgCgoAgIAh4R0BxjBffGeUY//qS9wslMiEIUFZOGR/Pz4JJQ6BIfUIYHk2jkZ1q5hjRN9LevCiXjMVYQxOPHUNLZr7FCzhW/Ljbw2FK9llyaasefA6TaB6h1b5PlNz2cOuqLYF/V7OWil/NzXvjlbQXzvmGJbm7/J6naNe2L/Y56NJ/bWu2WNhUygYOVDYoC2mcPl7IdbdFtnc721rIcaYupfkRiouAlr8CL89e38HauPESMEsQwL2dpwKa0fJGtiwf2p8PKNhpHiTLKTmcGQjgLv3eBZUQjHgle1kRMkXNK6JjPNA5FBhxYwsROhLMKxUa9VWrjgRagumoV4cknF/Zg+M2ULBdurq+6NiYZHDAYb27bI3rGgfw7P7gC1XYZ3sBUGIEAUFAEBAEBAFBQBAQBASB6YWA4hg/HeUY6554eXpNflrPdri9Cz6Qb+4WMocU6dbMfMXzvLzpNJsXDmuOESEf9J3dRReVo1JCLshGRJRwWEhw3nXVT1f4zokQiefv+9p93TtOG1W3r99ZePZNnLJv2y68zao2DIVIml7r+x9Htw5lUpORBYt4euFjF8PCqTAJOIrHONY99qQcKQRGunvhqxVEkY1Sip2v7EXU6s4OcSF3BFJXoSpJ6PIomREIh5WIEWV17k5zrQMjBDUs5D/J0cTgKGS0y86MQaB9MPSrXce0Wu+cl2vIC/aytOV1iios7TqB/bTLH2frAsPrmvo1r8hrfnM/2j/Xi1z6S+4pmMPzl9VqavGsl2rW1Ful+47D7+8YunLtEX3V+xZUQtU6hkmjICAICAKCgCAgCAgCgoAgMN0RCJ8Y2f6pO2CHCs+6aRqXWZ9WtwGiTLOICPbsE8fYhfp4fFtHDWic5Vu8dmilHS6RPOK+inoYuYGKejKj4SrhHrHZNeITtTPY2Lb+dVfweFBuMe9NV2m9Iq/QjGaRYff20r3X/hK9Yu7rP5vtu+TAN3/bte3f9jmgbKSrsjsftZ+ipT1vJ6uDInM8azT2FJURRjKvPK4GJnoH1lrVV4RaXJANtagUZaNMI48HRT4RzQpoFtDkMC4C/BuhxcMQ++25O/lNBMpaffhUNfJmNAjtDpKjnVLv4/Y/XQJqA8Ob/P3wZmzscDhdZj6xeQ6HXmOlX81twrJEk2Nk/npXFa5rUlbR5lqLlmn0jZwq7hxC32hQi+x0xC69COmIxJF4ZrW1NZh6DjK7YUCXW4QknHfouBfzbZjSb+UfpXAlAP7Xs+W/2XuMOpYWHORQEBAEBAFBQBAQBAQBQUAQmEkI8P3x4N1PwGvNpEWl81p0sUQXu2f8NaCGWpYXWFah7IAjaiKDONI7sEmIGC3Bkz9E9rb5zBuhBPd/4zdacxisbd71hZ/RwoaRdFwXafMc6v++LNM3h9RpRx0URd4wm4ZZNV/iuE8OOE4xLDwgmbxjAdJW0ZDPRsU82FpSXEk5Nx4YxU6/WgI7NPbSpB8Fq5s6Nu5iMrCgM5uGSjqUUzEAb3/UiVQnMB4k8w5v25ldtYDCgDCKZh5M79PIqam4Ickdc2vL4Pe2tL7j+QrNK/J6xZqGvCZVI9H7X1XvMGUVe4YdvFqagyNbWlROtN5yGvsI1inVFT3O6j7oxJV1gaU1vYZZDDRjijlGrV38fFZjlwcNZ8/wqV/sbH/zM4qbfePcw3dsafXOzXoHWSIFAUFAEBAEBAFBQBAQBAQBQWA2I4BFMt/N+UpusEB2NEL9QfX9PYZBM+X1IGrgkajZ2LP7MIeOnh32bsfbUv3wQojEPV/6ueXCje+8GqpQ04xbzr2571CdJcA4bJi3suaRf9U+vnjbBd8lnlKNgVIH0SbxqgZgRjbcl3Gty07UTuKVvS4xs+2UKukZ22IDFx6S6w2xGZHktGIqPa46jZOBtFPntmtF5cIcePLe/RUYW9vz/SczytRey280WJxo+bF+j3MY94cbdIAww8hN2djhcGpX4TI6H1m82XlsqNjAVPmJhA8iRVbP9LR6R3bR4BhdEJtepyp6hqmviEm0wSt+bHHNg/s6EuVLogxcek5kNShlIxtUIYrEtsFoocWRUDizLgDZ6AjatpbgsppeTTAaHCMspWNwkhoviCRHx0UD5edfSrvfOV/Vq2S7dn3Toe4ZLnZNEuDSrSAgCAgCgoAgIAgIAoKAICAIuCAA26BUQPGsEBCeKQro5fhyPpexJnkK+WKO7zLqJdoZkoIPXr/z0h/CHEIYQhuu8J196Gd/0xJH5Vazr0IPTYr3ct/HNA/Ja/4HvjpQ0RBrVnrJFAyMFWBuh5UCwzaypOVvFAEyoHlm4hKGFPmElObRIpgtGUU7R2c05r8jgQGos+5txdFk29HcbXUf126FswrWN8eqvTmmo3Q94G1izknX8PJKo/0dpBcBX6dFp0aw3qHR5deHdAVgxs6LVGhNiMV6nQG50ojrLlxeZ/CK78movGtbm92mZML3GIeXomODS2ujksU1DX2lXUOYR1s63NsxlNvUN+iURLyqrndZrZVgRMRo6SGphw8f6ASiZ8p7XEZZXBP4yKIoQztncfXaBme+1KUHOSUICAKCgCAgCAgCgoAgIAgIAoJAXATQGbZnb4dDQLvlHgwVQxjlztzDknrWvygPVpDcecsoVGCjBmPlfc/QToXGTe++VlOI5D7jEE0NRkhFTVuRNVn72CIMYkq+8weSuN19Rkh8hmvC2sYyXKxDeCrqCsY6OwvbKUoJyN4XjmQUpjFJ2lf3aUAkQid2F5Wp3O2MqB+N5tYoC0D1Tp5/qz2Qe49pcJYEcL0E+yunHCfoyC7qyznleIk0ph4BF/miphwJSP2sEjsiad64G7/lmfIbNvlRGDoxfBMfkNxnQ3OY748YuMRIKw851fDsPHFyZ9vgkyUd8JMWBWNmbZyCvROftNOVnUOn0CXCvpL+bD+/uTloJmkNthYV6D9dOUl7V9IiCAgCgoAgIAgIAoKAICAICAKCgDsCqPtgD+AY47A64bBWeaW+UJ55/hX3Pg1z2Lpqi7mR/X3X/xrJInnZuh2rl/z3Xac5Rv2654vWlGpLD7EOWyL22V40dUrBuCCbhN9YXc3C9vasbWzTbuHcSu54z75yxbZph5pRcSNJ3KTikpNrthNK2wXGqk/IW96xsqj+EcHORhotBKThYhEqB2v8PXvKOzbsQnoKd4rBE9VQZ1KquwV2WKxY2kXdnmIdnWV6iTrc1zEUiG3dDOWIFTLOJmyr6vt2tw/F4Ait06EGo0apsCXoyMtZLxh7TEq1vvzhAw4EY4pTpJkaAsWltVbZ5MHjJ65e36QZRRjIH25roYgldRpbB0Mr6/twxuHUo8WJL5I8Fio5EgQEAUFAEBAEBAFBQBAQBASB2YIAJiyItRDdxcqXNIDAWlrxkFMtYTpw04MQhm1jOSuK5sEuWqoyorQksvavLxV97m7EihNOdNWUS8uSjTrb2gDEvhM80gJEMBv2U7O2BZNxDFzicNfpjQ4qVt4mvSVVFBe1pBtD35Fenc7TN4hBxx37zF3ki7qHqf0EoGSBEriaiyuGQoGSqlg8KvcLYfaMpBnjEowp1tHZn6WkthQdG/ryuqa3Phs1kjaEeRQkRLMXd+iW4AgMYd54RJ7kU+MCo3tmH/52X8dgczC0om6MghHYU2zyYl8ss7p9SzMeLsCCn8u9Re2OJOoNG/wEPFHabe9BWgQBQUAQEAQEAUFAEBAEBAFBQBAYLwKG+zM+Ji7Jwoi1/Oi4FuY4Wi2Pd9C48QgUYxGe9f/IhDbcd92vzJ2U3fU4jRh2mBvZz/FdWv6/T1kaJ3CoUfr/7N15dFt3nfdx/zPnOWcOS9nLUIYyZSmFshTKNsCw73SYDjDQGZhn2DrAAKcPUBgGhuUBHmAGhiSk2ZpmafYmths7cWKncRY7ixOyejneYluRLVuyoyWWFMmy8nyur3NzfbVY3iXrnaNjru796erel5Ry8vH39/sq1Ry5mvGfrtJT6ZTSWmUg03iLxfoS1ZQqmMql/rNQBGKDgVBjpzqJaOK8bk3VjPl85WlzRWtn6pVnSuqslyiyS33V/OzR7HXzMqyoX8mhZq+bO/WXNHi6RQsgKA3Wz1BTp37FYE51N1Z1SDfLdX4ue47epRimSKelU2uSj94ozFM+dteGtn+sdj9U3/+ZfZdfu6ndTBofPORJ+1prpxq7bGwPqJ20tSfLhiucqHEb3bq3XwpaFZLWhuLEg73hre0BPVS7uLDpoqo9v39iwMxdn/aHi5/bf7l7eDwUTb3B8Ejy7o3tz1xysf9GR5vUMexBAAEEEEAAAQQQQAABBHIU0L/QfTUnzX+h65/q6rWR+kJFZ2afX+UqqUdnfY8aOm8ruUvZYNqVD5Vwbit5jeLEln9/xHrr3f/rbyr+/N3WU2tj7ws+fOTtX7KeTntDrUDMJrwqxlN2keY8yaS3sk6Mmm+e5mhx7pLJ3vrhpk4VMeqjzJLN5hvPSDiihulGijVZKqUYXI2w8+367deTJTBMO0U6y3jzvxIaYD//vG2bFdSqtVbMaLWH1ldLV9W3/UCmdRv0N1dNlzRm8dUVF0OTl9Rv12nfNbMP8q0rmr5d1684UWGjfZjal9wx1m+6smeS8PDAWGYYiKdZt9A8YXQ0qVnGu7qC5mxozUE+4olop/3t8mr7ye7hF68ebxL9vtJuWU16eeorLcPfnhucdCQDEEAAAQQQQAABBBBAAIFcBIZbe8aDhdVlwbOtjpfo3+b6F3qmlhCOwTN/OnTk3J7nfEARoh6KByOXeh3n1KVuLbmz9o1fMPdryqRGnvvSLx3D9HT3n73rwJ2fSt0/jT3Ja3Et72ZmLFqVMXC6RfOyYwNDemgOZt/YOo2KO6Zx5sX6kkh3n8llVpEpvs6UAuWPgAJDo+31jQ4vqtrVjODAyUZVYKZOs9XfGmvNz/y5BceV6K/t+KdwYw1J62nav9H5OUVac6KNyelryvXXzbpB8wumFkLZs2sFxUogddcFsWamdXe5bGQpYlwEHV5SBc4OXnvRSiNA+/uqy+ac37du67xl6UV1ObEP7gjGVcKnpsmq0LPvd2x7Igl1aQmka4zijSSOeIaVKJrRokJLJY1pu0g7zrmwT1XbqWnRr9/cPmm4al1noz8mT63HaO1hAwEEEEAAAQQQQAABBBCYoYBR6lNaa4YP3oqjiXDEPKEK9rQzlxUIZ3gB9pcn4yNq5mJWKj5R8rqW/1hh1SyZwxQ1WM0mmr//RwWMbf/3MfsZtB38U6v2q/mLY3+OTyWgZRsd08ZVRmWWMlopzfjG6jJ1GZ604C3Ht14cwxKx+HBzlzG7/EZeJ6v+yjqtVDlhDb28uVt91uZ8W9e6CpW9qZnLhE95Vam6S/vrzqnTtL4b8UBIQbeSq7y5/PQXosh0/HcHEwNG7Uy7CkF+NnmRuT4L//EL9pvUbxa0U18n+8602+F2l0bqL2/ao7O1UyWFivW0NJ8e2tDT2TpzpvNonm/ajFE7dSjTqwp3/3t2XVIa9g/7Lls39/vzV7RHPx03pd4l2j/V1QVHksm2QKyiJ2TmivpZ0xvumTjFWKsv5nMRoyLTKX3w+9xhQanNtAOQpwgggAACCCCAAAIIIIDATATUiUPFeGYcpLnA+pe7ghRtaI+q9WZy5um9VvHUwXv+SSGhHlUv+phWiUx7ntafrNGAzv/e7Dja8Pff1/6pRkAqVNOsXmM1xRuBjKIY1XDaS6dUiadiRUVnxkMVbg1NmlTrePeiempkbppQnOGPcELn2634WrAiFaC+VHnV/MVff17XppU8rWJFI9daZTRY1/fBtbrM+kpYG8Z03bz/oyBRxYpWMK4NPU2bLpq3kqWIUYcW5HbVzlvm9r+DugzvvuPaqRx70kvSGH18aSs2J31tLgMWNugzg031FtFjfoLNXExmfUxvOPH0JRdVwWjP91S7qApG1TE63q4lYBTmfWzi7GnHGPtT1TGqG7WSYTNa1IaephY3qve0elVfuDL51GP7yfN5+4H9bkE5ppnn8wVzbQgggAACCCCAAAIIIFBAAjGP72YWMdbGQsHLAl5/z6qy0pK3jsWMd6qFdGqXme7lu3T0wKs/o7pH6zp7t1RrGnXViz9u7cllQ0GEOZtSwYWWDVQ9m9Z8s9IkRWSp757LaRf3mJHgsEGkAGdPXfagVVWymlpurolnqmp+69CRs/rKLTxRMqlJuPrmO2pWdbW+A0bzIKWOocYO86+GLlsZafamPwt/R9O9Av0tSJsxamcuad503zbb64YOn9EXxvHt0l9VfRzZXmY7ppF9W6ttO2ZzM20ZoRlV6dBsvlMRn0vrBCoK+9ZR56+6lCJqf9vEetFY4rpanLxuU/ukYH1GA5ewVbJY0XNVRYwqZUx94eC1kW1jCaQWb0w9Woh7zDpP6eU+pboQb5NrRgABBBBAAAEEEEAAgQUUUIyg3rjjwZrKF/sXeAV4xXqnPv3vW0ruVJCosLFndbkdJ+YZ3FnyRh3ad/t9qmNU8tPwdw8rXdxe8lrVFtpHTrKdTBrzeVeWqrjOvlybAjRNxjQqOVV69+iTWnlvkvMU2WE1BjLnQYvImiSuIs8s86DVaFs1aVrKcvw7pjh3c1XowkJO09Mqi7qY1C+M2htN6E6uL0nFUUVbVpXjYv20NVdaiaL+NumhDWtFggW538FDYwHjxB7ufTsO6Nqsr1yWC9OHZVSizk35ZXE2W8miPUeHvndsQFHYxrag4/xaKVH7f3BiwL5frZO18y3bJ/9PisoRlS6aDVy09KL9JPZt77URs75xcUw/77wa/0B5t4j0+MbhSTpu2x3YRgABBBBAAAEEEEAAAQSmIaBIQf9+NyIgdX6Z4+XLMl1efCjY8sNHDrzq01W3fXxXyZvG6hiNGdO193zennj4qk6UlrzZOqoNpYtaQy/TadPuVymdbjZToxZlFDpkBmIqw0t7hmLeqeoyq4eLpt8qz9GXZ9J50Jr0qvpYc7XD1O5C8+lpNilObdqiskatu2i/ErX7UXVrpgn79pFsz5aAakf1V8+x3OJQ7WnttL51Wd4rcrlfI+eow3uW8kWKGLN8KFM99MszxrKKvz57s8uPeQbNmH7BiqY710/oTWbW5v301OSl0Xq5GrjYp12nXpiqHDe3B/RpHtRWmtrG1Ffk756h2Og3j/Y/a2mjMJ+3vPGPjf78vVauDAEEEEAAAQQQQAABBBaRgIr3+m90flHhlmOK4lzf6OCBU+Ul71RauKvk3uMf/Kb6RB9911crb3mfGSSqBUzTd5ZY06Jj/YOtP1q576X3Vd/xyROf+D9aPW9Kl6fUSI1jNB82+6qASjWN6Gx1mWM5uCm916IfrM/CmmmuYMecBx3NOg9aMZFa6iygjLkAo2NlQqPyLV0wZQxeXZa9efEC3svie2tVyeqDcKx4qTJjoy6x4miWWllRaHVQ1cqqcc8cfcG08qE1wTbthirfFt8nMv93VD8QVSb21do05XafrzEWElR/E/Oq2oPx21Y1K0PzTuwuPb1rdg3HN419xPUDkXQzp6d31gV4laaN/+rM0AvH2nCL6+MVPY555QtwTbwlAggggAACCCCAAAIIFJWAOr+ow8JYI2DNgVVT6fm5e02YfaLkDcoSW3+6xjELUmvfPfWafzBjxj3P+YDKF2d+SZr4nDZKSj2z0QdnZalmzmaPNVJfWGx7NA9a3xzHPGhNNldYlIcUZv1qbDBgvzbNzddnrQ419p3ajnQbrdWnGmI7TsLTKQgkkyqIVbDvqFcMNXW61pSre4tj5UzrzPpAjQY9a8pVxGjtnN2NSQNGDZjddyzOs6l0UGWKz3+kKTU21CKKSsy+fNDoJ67Jv3dtaLOeztCqKxTf2GYEyGd8C/nrjxnehV6+rjXwssdaxaKHZo4f7C3qrmQz9+QMCCCAAAIIIIAAAgggMG0BTR11jzV8Ua6iKOZ6IuNaVdN+C8cLVYuoCLHt52sd+62nbT97VAstmjGjShbjM4utNOtZt6ZMzDp/lg3Pzqc0WHV6WcZwyBKwz4OWmx6KZzVfNR4IWWMWfCM8ljAHz0yY/K6PWFer+bmOyzMXbEwNHh3DeDqLAsNtxq8ANGM9+KdWe8ty5dV9KlBUq/e6c4oflQmrUlHLxoaauxQ8Gr8ZWV2mBT8VRSoWnsXrsU7FFGmLYq431rcGlI99stKlYjz7H81avmNtqxpMP3xs4NnLjMm/qmmc+VzmjmDMLElt9sfsb1dY29Xu8Ju2dJjR4ivXtWq1ycK6fq4WAQQQQAABBBBAAAEEFp+AvfOLJsA6ar1m9349Ow8qOTz85v+d/bTeyrptJXeZGaNWaOz6w7bs47McVbKk+CLHSa8Kx4zcqakzywmL9lCW7ifKf7R0oSarSs98KKrV0os5ss8paeJqWHPkVeoWtZW6KRo1PuiUgDE8FnZRwTinn0jqybUY5vg3Z3WZKmNVmqjuQv1lh83W3taXKtOGd0996jlnvocmLzM3zPEMChJVfaes7G07Ond1hewx40P1/WaG9vQlFx+qm4Vq1daAkS6qfFFFjDleXr4NG0le/8hYi23JKH1VG+54ugUkVc2oxSoF+KWDvf/Z4O0Znpje5ttdcT0IIIAAAggggAACCCCwWARUF6ROyvonvGM9tNm9v7Ge0a/o/N2WSU/b9N2lChj33vrhLSWv1Eb9+78x6UvSDlCspJtydJFIO1I7FZTNtUCmt87//coMJ2nXm0xGuj2+mpPmF0mSmRrrzPPNGgtsjiWf3j115lubS/+lXp7Z7kfFcvN8hbyd/uqN1yXeyKjNj2zCzzXlWvZTZY1aUlXxo34N4dt/Qh/Z3FWcZili1CE+tVkUCMST7ysdb3+sLPE5yxqVm+n8atRyy9LGfzrgnpVqw0a/0VpajV16w4Wdtt2/x6WSToWH/tio41MIxpPKFV+13phObn9IVcKNhVy06bhTniKAAAIIIIAAAggggEDeCmhm6+CBhjmdJf3Uaz+ntDCnCrFEQsswaryvpmHvCz6sIrSpummxRwVimlOpOEInyeXlql1UoBGkl7RWI3R5wu0uawU8c9FChYe5MOpVeq1v33F70WAuL5y7McPNXeoQrUjKfAtVY2rurdKqCXNy+wdV6Ni348DcXQZnzi6gz0X9p/R3Vl8/RY4qNNUXT3Ww2p+9SVP20077aCyRTJsxaqcOTfu0vDCtgMrwVjT5P/Rkt9ZjVMD49h3jleT9kdkJA88ORpUubusI+iIjaS+ggHaqHLF7OE0F5glvVAtamrniaze1f+OwR6TqKP3Dk15zqcZbVzQ1eAt72ckC+pi4VAQQQAABBBBAAAEEEJg7gRMf+bYCRk/Z4VzeouHvHtbgkUDIirlyeZU1Rl1ojfKnVaVmO5JcJj77qk/qJVqX0jpJ0W4omxWFahEVKqou0egHtLJUG4ULot499qU4zeYvyhjVBijm8WkqvZYB1D0qiizce+TK50JAc6WVKKqlix7a0NO5eBfOOacCp31GurirKxiIO0v+5vR95/Pk/3VuUNWeSheft9z4ub1zwlq4CsR/1ODVfvXKCWuWNX8QQAABBBBAAAEEEEAAgUIWuPDN/1Zm2Pit3+VyE2oEo8Fq7pzL4LRjNDfWvXGvUiMjK1tTnj070rRZ5WlahTLtqYptZ/Bcm9nyxtQzfq4qVV3ZonEYCYVTl/hLnTS9aO6XG0GgaAXODl7TooulXSHftRHNKfZGEpoirTUY2wKxJn9MlY2nfNH6gUhtX/hAb3iv6+qTPVfLjKUgCymFK+saVnj4tD9c/G79QEsgpqRRQWJqjqj1GDXsF6f5JVrR/m3gxhFAAAEEEEAAAQQQWCQCmqOqzHBnyRsjXZM3fj3z+Z9ocLjNNZObV/WjWrdYqwJqnbe0nUc0MVPFbMrQKF+0a2vWvPTMElAzaVRg668/r7mr9mGObUM4mS//Nlfholq3qOOMkmrHNFvNj1bhomo1ja4i5YeNKeF5c9kOUp5aAvobrXbS8eBwfDAQ9fiMydQ32vfos1aprVaRHaz9kwJk6yVsFLlA05ARMOqhIsbcH1qwsVDclJfetqpZyeH/nL9iXvPXD3v0dMmF8afWjfiio1qMUdOorT1sIIAAAggggAACCCCAAAIFKlD3nq8pNnzq7s9OMvE5mSwv+esnSl43K1HVSDiiNsfKD41SxtVl6g0R6e5Teqa13TRtVtGTUei4qlTLNhao6pxetv/YRblprrS95E+po/9ko33SsXUN6uqrtFZpj7VnoTY0/VlLL5rRaGptatqLX6hL5X0tgXBrjxJCrVegpjxG/Lvzqd6t1fobqmUzzb/C5gdq/XQ/XmW+VvmwtVPZo3VCNopcQLWIRzwR1ShqiUIVK6qgUb1jVLuojtIdwZhKGV3D8b5wQpWNQ9GRQGx0OD6qlyQK59cNDx4y4sS/rbz5y7jB6KiWW3zx6uZQShWj2bBbA4r8W8HtI4AAAggggAACCCCAQKELqNzoiZI3KGM8cNdnYh6jT2jaP+71ezSm4f6H0x6d3k4FSv2VdVYEYd9Qa4/FNP93ej6ZXqUAR/GOeVS5jVYvNKo9b3T7VXAXON2iijJzgKrL1JGnf/eRTGebt/2qSDTzqP7SWlVdphbN9m2tVjPiWH/GL+G8XSpvZBdQumh9u1I39AsCrZap3LhvW41Rerr7iL33kApuVa0aauzQ7xTs52QbgUUs8NdPdCpgdHRv0Txo7fz+iQHHjX+w3OjWPStduR1n5ikCCCCAAAIIIIAAAgggMM8CKiYsK3mb8kPVKHYv35Vayti7pXpbyWs0kzr7qonTu2wlnOorbQYXmjod/FOr+shM71TF8CpjrcLHqzTt1H6zKhUTo1YsNIrKbiSNqjTTHtN2uK3HPn7+txV4atVNfb7W/FnnNSST41O/tbZk9+QT9p0v5/mcCah/dKixU3WMkUu9+viUAOtXA/oeakp7PpTFztl9c+LpCERGkypB1MzflEq9qZ1NCy6qiFGVjZoZrcpGV3jhC7Bzv4EXrGhS623HmpHR0eQda1ufu7xRE6jtp3rp2hYVN+bLGhb2K2MbAQQQQAABBBBAAAEEEJhMIO71a8KjfXlDlQvuu/0+ZYx67P6zd134+m97VpUNHT7btXT7iY8+tLXkVZocraeTnXj6xxVdGtOix8IxzcSMXwlO/1xF8MrUENi8aWOFw0u9+nCtVS5FqrqyBV/M0Gx7He50Z/twkkmtwagL1sVrQb9sIzmGAAJ5I6DZzb87f+Ufq92v29T+zCUXVY+nx7OXNb5rZ9fPT/vUxmVKV6qZ0ertsqnduTxjeXdI0eWUTrUgg5Ws3rL04h2PpVlW8dGWgGT++amb/xmsdoe15yO7F/gXQAsCxZsigAACCCCAAAIIIIBA4Qpotmzjt3+/76UKEu80s0QVJT712s8pgNJNqR6p/ZfrKp/xXvOQ/aeG+apOzPWNKzTT6otmMqZ5l8ozdcFz/aaL9fxazTLS7VGspwmq2l7w21R6bC3Nl/1i9B1QxmifZpt9PEcRQGChBJT4PbDfrTYlZqiY9qfK8357Lqd1D8IjxtqMVtuXfa6rp33RJv81rdOoyNHcf9JbAHPtX7+5XRQdQed/eFWmeM/m9mcsuajKTH1kqva8c32bRq5p5vcpC/UV5n0RQAABBBBAAAEEEEBgygKqUdx764fN2LDm5fcfeesX1djFXH1RO6vv+OT4rFvNVH286vQDP657978euPNTde/9mqKh5DXnP5Sm/PY5vyARjhhrvpn9X9ZWaDnB63nQnSTny5+PgeoZrfUMY15/PiSHOd6wkRnuzy2jTibd6ys115vptznazvOwRGwsu25oUgt4T9lhlctqRc1QU2emqtp5vjzebn4E1JTk3472q0zRDBXv3tT+xYO9K5v9qmb0RBKKBMu6h39zdkjzf80Bn953OTZhZrDzMgPx0W0dQaWIW9oDB8fiREfbaN+1kSe7QxrgmGLsPFEePFfdpu76v9LFqntd4yWL7nDirduMpRo/u/9yHlwyl4AAAggggAACCCCAAAII5CSQjI/UvOJ+BYlH/vrL9mmqSvPafvao9m8vuTvcdrPlZU4nnctBscGA90b/FwWeqQ1B5vLN8/fcmjmulRUV1o0/VpWqq6/Wx1P1af5e9PXrigqnEDBev66lIzVeXcXz+aaK89rUrkUtXW5+A62v4spSdRrSDPcCCr2L8xOclbseio0qUTSTwzdsbi/rGm8plXpyFSX+8KRXCw9qsBLI1AHmnvDI6K4uI11UtBgZSWqW8daOYFm3878Aofio4scdl4JqKp3pVPmwXz63rWrWMoxtwTT/Zf7AWFeXF61slon0RJQP18w1IIAAAggggAACCCCAAAK5CJgpotLF1CojFSsqYGz+3jKdR1OSVbKYPxOTVXWpnshKM9RdIpfbXNxj9Ln0bq6Shtr1KoJTtGjWeWqPZpQrjx1u6bbHO1rGME86MuuqdJHePfU5fkDqOqTxeZ6a5ngvi2aYvn5aS0Gfix6e0lrNvtevKrSOq4ppg+fatMc8pK8lpaeL5kNPeyOa2Gt2SVaAtqEtp8VyVdaoidLK09a3pp8LfMAd3tgW0DxoK2s76Y0qb3QPO4vnm/3XtL8lkCa4S3u1C7Xzye7hp/3homZA66Yc13Bm8Jo5qfwz+y4rinQc5SkCCCCAAAIIIIAAAgggkL8CyaTaQ28tudPe1cW8Wk2L1v49z/+QGTw2f/+PChvV1SWv7kVdS/LqehbqYsy6Pv+xi9YFKELUVGJNKL6ZNK4p10xkJT8q/+vffUSZT57UASoaVQqa48UY2enqMus22cgHAd++4/o6KfDP1ONbc/b7xtrBDx5oyIcL5hrmQkCVg5+o6FFUqHRR6yXm/haVPVf1qleua02tPVQ54ub2gOZH20v51BpGQeJTKelcpv25X8m8jfzBiQHdsh5akvHvqy5/dHfPxyt6zAT123X9KtGctyvhjRBAAAEEEEAAAQQQQACBWREI/qlVseHB1z/gPFsise8ln9hS8kqtomYeGm7t2Vlyjwbnulye84zjzxVXqq5JJ1HHFiVgqrjrrziqVdpYTTED2OS7NZldmZvmRzuGah081S6quix0oaNva7VZRWb9VODjGL9QT0Pn23VVuXyvYh6fRg7Vnl6oS+V9UwVUHKsPRX+R7SWyqcP0PTRLju3rMKQOY0/hCvz+/BUzXaztm0K6aN7ve0sv6bWpRYzdofimtkD9gPOE6rCsjFHTou1ciWRSO/e6rtp35u32HtdVZapmzGj+XJehhjNvb4ELQwABBBBAAAEEEEAAAQQsAcUCygwbPvUDa4+5Yc6bPvnJ79n3t/5kjQaf/Nvv2ndOaVvrBPZu2WdmXFqWTT1ilDGOP11fqbRzSmdjsCmgte9kmLpOpmatKmM0x2hqauBUs6oZlTSqYlCfe7Q/p+at84CszNk1tnaf0uzUefrWBeiQOfVb3yJrZy4bI6GwSuy0PKAe2tDTXF7FmBwFPDsO6JcFuXwoqqrVF1V9mnI8M8MKSEDVd3euN+KyX57xTeOyy7uH9dpPVTl7mpz1RRUwqiG145zdw3FliZpQbN8/eG0kbWWjfUy+bevWNGO6oudq6j3m26VyPQgggAACCCCAAAIIIIBAFgHVtikzrL33C/YxWt7wiZLXl5a8WYGAfb9W7dOk6d1/9i77zty3tW5e78a9RsJw8NTNMyeTUa2mODZ9UgmYcbak/qnKnykImPOjHcsSKlF0rSn3H2+0n0jT3tUWJ3ulmX38vG0r7TRmc2sFvx0HVOCaulKfMcd2W40G5FLoaL9sxYmOziN6SsZoJ5rhtr5mmnGf40ncj1cp385xMMMKSOCEN6qE8JalF9UnehqXHYgntSzhXRvaHK9tGrqmgLFxaEKQqDH6f4mdncHtl4KqWrRecnbQWIOx86ozjbQGsIEAAggggAACCCCAAAIIIDBHAqoK21Zy186SN9oLkOr+5kGljl3Lnkh9U3WUrnzW+1P357JnsKZBAZF9nUDzVUrGjOqyjXvN6rXAmRZKGXPxtMZocrTKQa2n5kZsYEjaCuvs+yWsWsFAQ5N9Z55saw1Gs0+NLltho6oZ/fXnA6db1NVFqaO5kqSvpsH8kuR+zarh1AkdD6uwM/fzMDKtQDw4LFt9UmmPpu5U+aLGa1J/6iH2FLTA/4zNj/7Y7p5p34UKIJUxBuM3A0OdyndtZFN7QOll6mnPXZkQJw5GRzVSCzbaV2tMfRV7EEAAAQQQQAABBBBAAAEE5kjg4OseUJx47ku/NM+vddL09Km7P5v6dqr72lJyZ/XL/i710KR79FplRP1lh1NHqqxOmUOoucs8pKxMIx3JWOqr2GMJqH5MTVKStkoeHVJtqlTjQxNqULVfg/O2hEzh4XBzl9WPWNdvPRQ5Bs9OZwa9NQffOpU2FGhbemzMREBVzfLM/aMZr7aNUWM2E/V8fK1ak6iC8Y+N/mlf3CvGFiRMLYAs6wqqyUt0dELwqHdRx2p1lzZXXFQOqYJGlS+m1jqa1xMZSZ4bvDYUHZn25eXVC3Xv6miTV5fExSCAAAIIIIAAAggggEAxCGie7ImPfFvzoBUbKkhUuxb7XYcaO7eVvEZ1jL2b9qmyaPf/+pttJa9WPGUfY26bCzO2/Xxt6qFJ9yiCMIKIc84ZcKpbU4MSe8MRRYtGBLRxL3OlJ1U1B5ihjeNjHTp8Voyp9X6Dh84ov83xzLM4LNzao7pBfQ002XnS02oGfbitR81f/Ccbc3xJpnOmDRi1M9N49k9JQNPt9XXSypY5vkrpsaZU5ziYYQUk8L1jRlvkNc3O32jkeAvqH63p1c9eNmFJB/O1WpxQQeLhvuHUUx32RBQqqmO1fupxbjBNoWN/JKFhOoMG1E2lt3Xq2+XDHsWsQv6rtS1fPtibD9fDNSCAAAIIIIAAAggggECRCGj2cf37v6Fm0CpKtD1eqUnQ9mXomh9epqPKFQ/f+8/auPCN36b6RLo95SXv0GTqxNXpTG80QzDN23WcWUvqKQeLXu637/fuqdNOihjtJlm2Fdkp5NHcZ3t/XmU+2pP6KvWVVrnj/Ie3mt2sz1QPaxFFtRXW5z7XC0IyRTr1OzC7e1TzrMwwNnG91rRvocVd9QXw7hlvPJR2DDsLVOAXp30KGH9z1vlf+Bxvp8oV1stftd75Gyjz5dXuq4oH97muqlLRfkJP2Gj1oodmRjf6J6zTqInSrYHYkz0hc4B+HugN94ansz6k/R0XdluNp9+wuV1Qety/Z8LyFwt7Ybw7AggggAACCCCAAAIILHqBsXRR0eKdqmBs+eEjLf/+SNWLPmYmjVUv/ni092a7zwvf/G9zv0oZNWfZIaPkquLP360BrT9e7TiU41MtvWhkhpcmFF3EPL60gYOGaX/qZeT4XkU4TJV+EtMj6vaat6/Z6GmDRM1AVxXZ/BNpsb7hlu6h2tNWpaWeGte8qlTXo89a3zFFjrN+YQrSHUWMempP12f9HYvthKo11eeoFjwjwTQ1ZpaG/lKbH4T1FbUOsbEIBGr7Ikq97qucZur11m2devmXMlTlaX60mTEqJ9zaEdxxKVjbN94LvtJ19YQ3ohnQlqHmDp/0Rre0G8GjHppefcoXDcYLe0Kx+mW/v7zbjBZftLK5sueqdb9sIIAAAggggAACCCCAAAJzLdD4rd8pEiwreZujlbBmH6tXiw7VvPx++zXon//mfh06+IZ/bP7esu4Vu7r/uPP4h76pwkXtrHv3v9rHT2l7eCyF8B+/YH9Vf2mt8qXUdQLNhd0IGO1Wk25HuvpUS2b1XzYr92526x57vZkFOT6FSc88RwNUoar2NPoCmNGo+bN3a7X6gCh7zJ5WTemSFCdKQ19vPbRBujglvVwGm3XIPepafuyimsI7JuaPBEJmm3h9xLm3g8nlfRmTPwLqzfL8R5pesKJJzVamelVm9eNzljW6s1YYNvmvVbmumpOd9TM01g7GCha1Bm33cLzaHTZzRf1UCtcejGnydUH/0U09UO1++hKjatF8qBWOppO/fnO7ZklrAnhB3x0XjwACCCCAAAIIIIAAAvkvoE7BW0vu1OKKWosv9WrVmVdHlRla81XNMZrDqEUad5bco0P2h4LHs//7Z9cT0/+3jPIixQuuR58cuTpeeWKutagrSb28SHefBgdONaceYk+OAuqWIkPldVrl0nxJ5HK/UUK2pnwuCgVzvKrUYZoirW+dKjD7yw/r2nTN1kNJuHpJazlQR0yaehL2LKyAYm39B0eLqZqfnXJs+/WoUlr7NWE/dQlW+zC2C13gm0eNPi//8lRf7jei8O/fxl6lFz5UN2GhjEwnUWDoyAzV8eTsYHRn1/hsaPWSPuqJ+CITJlNnOls+71cp5kP1/VqXUjgKFd9X2r2tI+SNjur224IxHVLMePuaFm3n811wbQgggAACCCCAAAIIIFDYAsmkqhOVELb+aGWmGzn6jq9owMlPfCd1gEq8uv6w7fzXfnPiY/+n7j1f61r2xLTLyRQfaR1I8y2M9iJaga2yTnGEHuplrLwxbdhlrNe3qnTab5p6R0W4R+xGP24FO2srlN1ZJWTBMy15q6FvRdTjC5xp0SKcavRsplXmT92Fplfn7ZVzYRKIXwnq26XPzrF6qlpH6VcG87/sJx/KPAsoELttVbOiMHVdyf2t73isVQHaV2s9YwWJub/OGKk1GDVX2qxpVMliaVfowpVr9n7TI0kVNhbeH1H89tygpkJLRo8PP9lz7sqEFSbNW1rZ7NfRN2/vsE0QL7yb5YoRQAABBBBAAAEEEEAgnwU6fvO4wsOq2z6epeZQzaA1RtOf5/RGAmOVaQqO9C6aOKmF2pQX9e8+YtQ7ZahRVL2TekZozJxeWDGcXIGPURZ4oyZQqoVVFKq582pxPljT0Pt4le5C1YzF8KlxjwgUrsDSxiuKvJ67vPF/zl/J8S7+46R3VfPkneXtZ1Oe1uK/9mSP0fnFfDzVG06dXq1h+9xXOwutwG9Te/CV64zQVY83benQpG/7vTu2v1Dj1rCNbUHHfp4igAACCCCAAAIIIIAAAjMXUEA3tmTinWlnH1vnb/rOEgWMqlG09szFhlk4pxbS5skVGalw0Yy8VJOW2kFYDZG1X4/UhRnn4vIWwTlV56n2GYHTLVqyMtTUGe0fdK6AFxzWHGQVlaVqF9Dtq6pWS/kV0AVzqQgUoYBm7z54yGOGY+/a2aUyPPVbCY8ku0JxTVv25LZgYJM/9r1jA3phKqCKJNXSZUtH0MwV1cDltC9qLsboGBxPJLVgo4Ype3QcytunWm7xLds7TL2XPda6rjUw6aU+1Wv01vlExYRFCSZ9FQMQQAABBBBAAAEEEEAAgVwEjn/wm0oOT/3DD7MPrn3jFzSsa+n27MNmeFS9g82JusHT4zNzE7H4eEuIlaU6pK4Qyr6il/vVRFglapo0rd7HCsRm+L7F8HJNgh480GAVKFobqlRU2Jh27nkxsHCPCCCwsALr24LPW26sHOh4fOtotlUWFT/+5uzQvVvHE7a0HaWf7B5faHGP62pHUCFi+hvVgb1j6eKurmAB9Y+OJa6/fF3rrSuafnVmSNu5/Dk7eE3I92zpyGUwYxBAAAEEEEAAAQQQQACB3AX6y48oNlTnaE2PzfIqdVvQsNKSNyevxbMMm5VDsYEhxYZaU9G+Mpu27bN3rXBMkaM6CM/K+y7uk0TdXjO5da+v9NWcVKPw4NlWVYoaJaNjfZllboW6+UkRauzw7Tuuilb1kvbuO64+LwqWC7rMMj+duSoE5l9AnUd+esr33tJL6g2tBExNkLU844eeTPPfdtU3qlTvg+Xdz7zRKFkvub/KtdeVpvJQXaHrBiLZG1Wrb7TiR9UulnWFhgttdcIGb3QoNoU23D9u8Ir3A+VpYOf/Q+cdEUAAAQQQQAABBBBAYNEIqKSt8hnvVXLYs7o8+00dfsu/aFjjt36XfdhsHVWLB9UlqrIu1j9oP6dSUC3GqKncql1UWaMxjXcGjartZ17c25oE7dayhKvLAscbUxM5zS5XXmfGjFoDMw8p1HhBHVusVHnCxqpS5Y3+unOqaB0JT6FVRB7eJpeEAAJqudIbVlsvp4R2KAb83P7Lz3+kySx0VAj5nl2X1LgkOI12LzdOr3SxcixdLO8ORQotXbxxE7n+r5pKm6ns8qapLWKZ6xswDgEEEEAAAQQQQAABBIpV4MI3fqvYcHvJa4cOn81i4F6/R8Mq/vzd8zmLVssDKkdS0Z0W08tybRzKRUCxoTC17mKWwZGuPiWQGhY6355l2IIcUrGlESqONZ1R1aJWDVXZqr/+vGfXQQXRxqEbj76t1SrLDDV3qRPxglwqb4oAArMrcNp37d+O9t++psXMFfXzdZvaf37a5xrObVZw5qtRmFkx1vmlsueqvZd05lcU6hFltv9YbbR30UOrNequtcplod4M140AAggggAACCCCAAAL5J3Dh67/dWnKnwsMtJXee/ux/pG2KoZ4gZSVv1xjPzoPzfAdm5+i+7QdSi+7m+UoK+u1GroaVHHp2HLieTKkKmnhjkW6PRqpwNN/AFRvqquKDaVoY6FK1IKe+Kmojbsysv5E0KmOceHM8QwCBQhLoGU787JTvtZvarVzR3FBbE7WcDs242lD1imZfaa2+OIMSyHwnFdQPTgzYl7h89o1J6PdV9Myk+DPf75zrQwABBBBAAAEEEEAAgfkVUDJT8/L7xzJGYyVGRTSO9z/9jz/W0br3fs2xf36eqhpNkZG3sk6TZOfnHRffu6jYT4bB3OoSzS4w9tUvFxwkcrlf15+9xfn4RSaTmlOvckfv3noF4wt+5VwAAghMVSAQTz7S5H/3rktPu9HzRXOi79/j+skp35b24H+dG9Qsac3zVUGj2kxP9eTW+Mhosrx7WOsuVru1pqO1e1Ft6L6WXLjyl6ubzWBWjV00nVyNp3W7Cm/VF0aM6twtikV129wMAggggAACCCCAAAIILKBAMtn+6w07S95oxozqFj3c2mNejmahqsTxiZI3qEhsYS4wmeyvOGrkS4fPLMwFFP676kMUoJYozOVWoh6fBmt9y1wGz8+Y4JkWXZKmRc/P2/EuCCAw/wJKw0q7QgoSzfo6ZWKKv9TkZX1rIDUBPOGNvnJdq6b6+qfS38S6KZ1QKy4qXXxKM4cXabq2ozN014Y2M1rUjHLNibZu39pQ3qgBH9k9/n/31n42EEAAAQQQQAABBBBAAIGZCCjAOf7Bb5oZ4/aSu5u+u1QtYPa95BPa0/Z/H5vJmWf4Ws2BVRcPRUzqZD3DUxXny4fqzhkBndub0+0nk+r24t1Tn9PgeRmkxjS6fnWimZd3400QQGABBE56o2Yapp/3bu347bnB/ki2JRaPeCIqcfz0vstpr7UtEGvyx9IeGo6Plo2li7V9kUUZLtYNRN/xRKeJ+dK1LUoRs9zm31a6NFIvSWvFTgQQQAABBBBAAAEEEEBg2gL95Ucqnv4eM2YsLXmzNva99L5J1+6b9tslroY1oVU9o7N3clHDjt7NVQq+1Ihk2u9VtC80p0irjjEXAWPBRtWLHsnW9CeX88zimOHmLiNgTLcA4yy+C6dCAIGFFVC94sPHBpozBIOp16Z0UeGYWsCkHtrVGdrVGUytTgzFR1UnqdpFTa9efKtu9EUSn9xjBIZ6aF65JpVPOv1ZGhr85YO9qYbsQQABBBBAAAEEEEAAAQRmKKDCRXWX3lbyajNmPPK2L8a9/hmeU1WIQ7WnU5fF89WcVHZkPrT8o5oCa9HFtJFj/ErQva5CYwiapvpZJGJxtW6RXnJkZNLXqpBVH8dCFYsq3kyNmkfCEff6Sv/xxkkvngEIIFA8AksvXFE49sfGNP/3dNYX3dgWqPOokcvN8r1QPLlrLF08NjC+eKPmZSuCC8ZHh2KjKph0hxPqrdwejCnkPH/l2pnBaIM3evP1eS+rji0vXt18y9KLDx7yeKOjuVyvJpvL8L2ll3IZzBgEEEAAAQQQQAABBBBAYBoCofPtT73mH8yMcVfJvV1Lt0/jJNZL/McvGCni6jL/sYvWThVGqsWMr6ZBuaJrXYWVNFobVuQYONOiBsdGJd7qst7Hq1TQePMkbOUgoKYnUtXE52Qi26xDnUm9mFUpulAprlJEXad7415f9cnQhY7YjapF1bgqY4wHQjncK0MQQKAoBCp7rioc+1K66js1MjGzRMWMZV0hrbioadFbOoKqXdRD6xNa2+aeLD8VORaQpkxaA+nnhqe9i9+cHZLhJytdaY+yEwEEEEAAAQQQQAABBBCYLQHlikoXzZhReaNSx+mdWWVpRnviVaWqY8x0huS1eGxgKNzWEzjV7DvQ0F922L1hjxU2Whuu1WWqZsx0EvanFVBloPvxKhn2V9apQjXtGO0MNXVqzNDhBZsfrfxZlZbWZ60NPVUuqj4v/eXG90HfkEwXz34EECgqge8dG1A4lml6r9ZaVAWj0sVtHcHN7QH93NkV0oxghY1K4apcV2t6wwf7wrV9YU2XVk2jihVVsnh2MHrhyrVm/zWt4tgZjKnn8lB08sLvAmXXKpTPXd4ow41t/F9qgX6GXDYCCCCAAAIIIIAAAoUkoPnRJ//2u2bGqHnTmj2dJaHKfmNKhzTd1Ryjpsa59DXW3OqY1x9udwVOtyicVMo0oQYy+/sV01HFs9mrE4055usrFdm51lb4TzZaH4SJpARSk9OVAGvMtD/f2fJW/aTKF1XEqFJGe9hobKsBTWWdluLUF2O23o7zIIBAwQmcHbx226pmhWOb2wnHpvzpqY/2908MPGOJsVojXaSnzMcLEEAAAQQQQAABBBBAYAYCvv0n9jz/Q2bMqC4w6gUzg5Nd12KAvWPZkcoUY/2DMzkVrzUFlLsqOVRIGHF5MjXlGQmEfPuOW5Gd4jsVB/ZXHO3dWq2559rfu2VfzOPLK9J4cFhT44cOnenbVmNduZk0qre4v+6cYmpHWJpX18/FIIDA7ArEEte17uKtK5oUjt29qT2g6dD8yVlAjW9WNPlvX9MiPT2+dsQjT/4ggAACCCCAAAIIIIAAAvMpkIyPNH136faSu82YsfP3W6f/7smkStTMgjqFRapVU440/bPxyuvXFRVa+Ztghw6fUbuWtDCqI/XuqXPMRNZyl0N153LpApP2nPOzMxGJRi71qh22sWjnWCJq3bKiUYWroeYu1mmcn8+Cd0Fg/gUa/bHv1g9Y4dhdG9rUN3n+L6Nw37G8e/i1m9rNaPHVG9qe7Ob/dgv3w+TKEUAAAQQQQAABBBAoeIHh1p7ae79QWvLm+NBMJ6apu3HgeKNrTbkRE6n/S/157Sl4oIW7AU2CVtOcPpUj3mjMrYY4qmzUHPO0F6WFMcOXetU/JbVxc9rxebVTWWj0cr/uV11plI5at6ya2Ly6Ti4GAQRmKKAU8ddnh964pcNMxvTzZY+1Lm28Quld7rBaYfK9uy6ZgC9Z3SI9lTLyBwEEEEAAAQQQQAABBBBYcAH1dJ6ta1C6pUbSWltPGZF6SRt9ZJL8y2dGuqpRVFqrdNGK3TQJWllcwTXHiXp8CrQnX24xmdRE++DZVjXL1lqdM7LjxQggkB8CwyPJx1oDHyjvNpcKVDj2nGWNn6q6XNatI/lxiYVwFeqC/Q/7Lj9tbEL085Y3/vtxb8jGd8oX/eUZ389P+352yqep08gWwkfKNSKAAAIIIIAAAgggUIwCqkh0TFlVew51iE5dNE+ZmBq4mIGYprvm0v+lGEEz3HM0wzqWmiWtltDWVHTxat1CBXGJq+EMZ8qv3YO1f9I1M30+vz4VrgaBORZQA5fP7r/8/EeMVRb1ePqSi6q+W9XsD7Lc4lTk/bHRbx3tf/Yyo0+0Qtp/earPmlEuyV+c9lnTpU1n/dTKlt+u6/dGR6fyPoxFAAEEEEAAAQQQQAABBOZcQPNzjbnPdefGGxMnk2rVoTnRmQIurbBnzfD1lB3OlJvN+XUX1Bsof1MKp5nCGa86mdQ86MEDDeoCY0a4qhcVr5bB1KqGGV+1EAccHVv0ZVAnmoW4EN4TAQQWTKC2L2JGXq/f3K4czDXMQovT+SyUE5oh7cd292j5SusU565c0/KVpvCLVjY/UO3+5tH+H5703lfpetZSI41805YOShktLjYQQAABBBBAAAEEEEAgHwQGD50x5z6rpYgK54Ln2hRw+Y9fyHZtyWTwfPt40d0qo/9LIa4QmO0GZ/uYJgVLNXCqefITJxJK8Lz7jo+ve6mlGleVeivr1KZ58mnIk599piPigwEz/xzv2HKhQ0/1Bcj1vAlSiFypGIdAngv8uMGrOsbsFxkZTbYEYtXuMAlkJijNMX+qN2I/uq418NzlRoqoJi9bO5w1oSp6fGC/W0c/UdHDNHS7G9sIIIAAAggggAACCCCw4ALqMKLiOjM40k8V0eWSZWlutaofzRxMCzPmeXfjhUXu235AsI6p6NkvSR+BQkVFi1YvZlFP6QzZzz+9oypYdXRsMb4w6yp8+09oZU59kZJZF+fUV0tTqqf31rwKAQQKTuCnp3xmGZ4WGHznE11nJgskC+4GZ/2CRXTLUmPW+ef2X85Uo6jmL6p41BityjjrF8AJEUAAAQQQQAABBBBAAIEZCqgpjHvDHjNm7C+tjXly+peL0f+l+qS6k8zw3Rfxy+NDRtWfZ9fB6d2jpkiHGju1+qWKBqd3htl/1Y2OLbok8wtj/VSEqFA0eLol6vZen1ivaDqotc3sXw9nRACBhRZQmeL3jg187YinvHvYupbu4fjdm9qVhr1iXasCsb9Y2ayWJdZRNhwCSg7v3Wp04v5CjdtxyPE0PJJUlaOaTbPmpUOGpwgggAACCCCAAAIIILDgAooKVSPnfrzKihlVljYSvPlPxQW/wgK9gMDJRuVvmnue6fqVueXSMScPa0TVj0Yz65UcDjd1agHJ3s03m2IbkePqsv6yw4HjjeF2V/Ryv3dPvXZGXLPW3DyTJ/sRQGA+BTSL94Pl3YrFrIeq7zST13ENjzT51QvmZY+1kok5ZKynK5v9MnzV+rZMtYvWSG2oebcGazFM+062EUAAAQQQQAABBBBAAIEFF/DVnDTyn64+Tc41MrE15WZGNGT1f1nwSyzMCzDK/FaVjmToCh2/EpSzkro8vzlNhx88eMreW1zfE2N9yD319itXb6Bwm0t9sY1Z4atKja+Q7aEEMvscavup2EYAgfwXUFp498Z2JV3PW9744CHPfzZ4X/O40Z3k/eXdqRf//RMDOrSs0Z96iD0S+Eptr3zUjDsXDc2P1uDlTTkNzuWEjEEAAQQQQAABBBBAAAEEZkVAoVB/xVHrVEqKVJNmZkRG/5dzbUnHjNfgsOrWyIsssbQbsYEhJWya4Jz2qHZqdrkGqL1OpgF5sr/38SqtBmmvolRkOljToO9ApitMXosrr1Yyqe+VUlb9VK1jpsHsRwCBQhRYcuGKYq7bVjV3Xo2b1x+IJ99beiltkKhDt65ounN9xnLuQhSYxWs23VoDN9tJZzm54lwh7+oKZRnDIQQQQAABBBBAAAEEEEBgQQRS00Kj/0v5YbMIrW/LPs11tS5M3Tq031hqjz+ZBTT9WUqhxo5MQ/q2Vhv1jaFwpgH5sF+Xp7uY9jKS+XALXAMCCMyFwJcPGkV3vzk7ZD+5mke/cl3r8x9p6os4G8ffX+XSeM2qto9n2xRQ2+hbljbm2Bv6TVuM1RpzTCMRRgABBBBAAAEEEEAAAQTyQUB1aH3basyYUZN5g+fbg2daFItlKczLh8vOh2twb9yrwr9ENH1FivJbqWqhwny41CzXMNzao+vM1J9FufTQkbO5LCOZ5S04hAAChSjwmX2XFXOlrgRY2XNV+9XzxXFTvzozpP2PtVLM7IAxnn5krDd0/cDkfXBq3GE15laEq74w/EEAAQQQQAABBBBAAAEE8kQgHgiFzrdrhT3Ng85YSpdMhi50uNdXmjGjfroefVIvzJNbyM/LUHmnkR9W1mW6PE0f1gDBZhqQJ/sHD53RdYYv9aa9HnMauGMxxgkjFUHGKViaQMITBBaHwC/PGCsBbutI8/8F91W6nr2s0R2eUMT4i9PGeALGtJ/+f58z5pv/qGGSeQFDsdGXrm3RSKW1ac/DTgQQQAABBBBAAAEEEEBg/gU061lRoeIj66G6REVGaa9EMZHKF1VxpzFRjy/tGHZaAkNmLtfaY+1xbGhhQxWCJiKT16s4XjjPT436VV1nhjpM5dL68gT/lHEZSSNoXVXqP944z5fN2yGAwFwLnPBGlXR9dv/l1Ddq8seeueSi5lBbh1Rtd89moyNMefewtZMNSyA4tkallqk8d+WatdOxodnl5uToe7d2UL7owOEpAggggAACCCCAAAIILJSAatIUDSlgVNvo4bYe9Xlxra0wksZVperfkbGacaEut7DeN5k0Cj41PzqWvngv2usTtb2xTn7en3JFfR+UMWa6PO++47qRWObAOXCqWQPyv1Az0w2yHwEEsgi844lOTdc95UvzixK1Rb5l6UXN59XLWwKxD5R3K1183aZ25vVm8tTUcqWyt69pSV2mMpa4rgbTih9l+LLHWhv96VfeyHRm9iOAAAIIIIAAAggggAACcySgwjn3hj1KFLUSoPUWI8Fhax60a0255vBmysesl7CRViDS7TGi2pWlvRv3DtWdi/YPOoYpztXR4ZZux/58e6oVOHWdqsbMdGHGt2hNuaPJuH2wQlSdITbIqmt2FbYRWCQCWoBRKeJdG9pSMzG1jX7Xzi4FYmozrZ96/OXq5tQFGxcJxCzdhtmYWzHjh57sXtHkX9ca0B4Vgr5w5bjhR3f3aJb0LL0bp0EAAQQQQAABBBBAAAEEZioQaGgyAq7mLseJfPuOe0prfdUndVQP5Y1G7VnSKDmJDwUi3X2O8TxNK6Ap5N49dapgNBn1U224VSkqQ2P8WH2jcrn8z2/NhSLV5yXtbY4EQrq1bO1+kkmVyLrXVaR9OTsRQGARCGhNxWctbXzx6uY/Nvq9USP7Uv/o0q7Qp6ouP3d5oxktKjF78JDHTzKWw+etRPGOx1pNN/vP129u1yH7CbqH4ypr/MZhj5bBDI1QGWq3YRsBBBBAAAEEEEAAAQTmRSCZVGWdIq/UN3M/XjV4oEH7Y/2DvVv2mflY39ZqTXQ1e0mPR2Spr2RPioDmF4eaOvt3H9Es45tJ4/YDaqmjp8pyU16Rdzv6S2t1qZnmyyug1lEFp5mue/IWMJleyX4EECgcgdZA7IH9bk3gfcYSo7uxPRZ745aOX58dUuRYOHez8Feq9RU3tgUfqHZLVT8fqus/M+hcmPGRJv8tS8fzW4FrYnUuHagX/t64AgQQQAABBBBAAAEEEFhEAmaDYxUxOu4p4jIm9kZu9AtWPqZqRu2xHgWRiTluKh+eJsIRNUPx7DpoSWpDga36d+tQPlxh2mtIjoyoCFPNaNIe1U4zKY26PJkGjLeAOdOSaQD7EUBgcQh0heJ/X3XZihZVg/fd+oFMSwW2BWP0kp7J566Z5ib1R3b3/M/5K1ruUj279XiqN3//D2Um98trEUAAAQQQQAABBBBAID8Fwp1uBVyhxg7H5Sk/1Jxo+3p6Kl1T9Z3KF7VmoL/+vBpJO17C0ykJaJXLwOmWvu0HbiaNq0pV4qhCx+S1vLM1g2h1/Ml0j0aN66rSLN8KswUMPcczAbIfgcUhoIo7c1avyhe/UOPOFHP5oqO/P3/lbTs6FY5p0rSHssacP/7wxBnQQpbh/Xtc1gkOeyLPW974V2tbmIdumbCBAAIIIIAAAggggAACcy0QbutRwKXl9exvpFI61+qyoSNn7Tu1rYyIwkWHycyfaqa5ZhZrlvrNpHF1mXdvvT4a1Q3O/PyzcobxBtCNnWnPpi+MLt6z86m0R82dk7aAyfJaDiGAQKEIqO2I8i4FXKpjTL3m6GhyU3vwY7t71A7GrLt75brW758YMBdsTB3PHoeAoO7d2rG9M2Ttv6+iR5Lr24LWHm2YDWK+Xddv38k2AggggAACCCCAAAIIIDB3AiqW61lTrmJF+9p65mxWFa053td/vFHNph07eTpbAlrrUm2mtSSmlTSqK4qa7KR+ELP1jrmfxzvWADp6Of0/V8PtLl1zaiJtnT9+JagB2VrAWEPZQACBAhdQI2lN0bWXz6npSI07/Pka9wtWTFiVUeniT075mv2xAr/jebp8hbeyVZyovtLWW352vzEb3REwxpPX1bBbrbonVjtaL2IDAQQQQAABBBBAAAEEEJh9AU15VvijArPE1bB5du+eeqPb71jDaPv7KWDUSK3HaN/J9qwLKFEcrP2Ta12FtPUILvi6hWMNoM2L6d1stP7RnHp7ix9FizqqmDETheZ9a0CWFjCZXsh+BBAoOIG9rrAeZifj81euPVTff8fam62QX7iy+eMVPWpW8tVajyb2qjuJqhl/cGKg4G5z/i/456d9yhLfsLm93zaj/JdnjJ2qAnVcz2f2GcHjEQ8rMTpgeIoAAggggAACCCCAAAKzKZCIRNVVZDxCTCZ9NQ1aDDBpJopjaZK6kKS+n1YIdK0pT93PnjkRSCYjXX36aOzFpXPyRpOdVJGyLkMdXsyM0fqpwldN5Q6ebe3dWq2dI5mb1JgtYNQ5aLK34jgCCCwGgd5w4ldnhu7Z0qGMy3p8oLxbHUnM4NG6yZZA7IPl3RqzuX3CJF9rABuWwCvWGTlttXv8V4Hm/qMeo8nLO5/osoaZG//yVJ/2V7kmDHaM4SkCCCCAAAIIIIAAAgggMEMBtY1WIqTYxzqPeo6Y2+rToUP9pbXWIXNj5KrR5KW/ss6xn6fFI6Coc7i1Z/DQGbW91pfBShqNjbEONfpeaRp16tKRxgqTWVvAFI8hd4rAIhYIjSQfbQm8r7T7GUvGc0Vz40UrmzN1e5FGLHH9Vevb/mJls2LJRYwz81tT3xzVfzrOo8BWs6FVBRrQvGjbnzvXG2lk3UDUto9NBBBAAAEEEEAAAQQQQGCWBczmxWohnfa8qkwzWkhP7BOtxQCVI0W6+9K+hJ3FJqCyxvClXrUHUhbds7rMHjaqQ5AqYNVqPHKpV7WyubSAKTY97heBxSSgztFPdg9rTq56uyjU0kO5omLGNc0BrRb4ktUt565cy36/mlKtV91XmXGZhewvL5Kjkrx1RVPqzZqzobfYSkA1A12ed29sTx3MHgQQQAABBBBAAAEEEEBgFgW0vp8aiCQT6ctF+sc6enjKDscGhvSm8UDIt/+EEiTvHsoXZ/FDWDynUsmi1o1Up2n1gtH3yh42alvLe+qnv+7c4rlh7gQBBGwC/33uipkr6uc9m9s1OdqsRVx6wdi/cWKDY9vrJmzqhc9a2himK8kElQlPNJf8aX+4mNqe23TWmpbmaPXXEbtqGnfamk1POBFPEEAAAQQQQAABBBBAAIFZEnBv3JulH7QSRQ0wYyJVo5kb6u5Be5dZ4l/Up0kmlUurEblv33HVwZpfHv3MVC67qC24OQSKQqAvktDygKqaU0sX+w3fu7VDjYwnzty1H5+w/ZHdPYrFmNI7AWXik60dQRGlNsTRQova/9dPdFrDtQBjZc9V6+nwSFIP66k2Jj6zH2EbAQQQQAABBBBAAAEEEJiCgK/mpNbEy/ICzWxVa+DesZhRNWm+Aw2JWDzLeA4hkFYgfiWoFtLG9yfCUmBphdiJwKIVUIfo3Gc9P1DtVkqWZanGRcuU840pqr3jsVbNQ28LxuwvKu0KiS61z4s55uzgtdvXtDx8bLzNtOazL2v0v3Rti/bbT8I2AggggAACCCCAAAIIIJC7QGww0Le1Otzuinp8ChhzKSpTb5fcz89IBBBAAAEEJKCCOaVeb9nekYuGojOFYJrVOxgdzWV80Y6pcYc1S/rO9W2tgfGMUXRa6FLU1hRpB050NKlY8rnLG93hhKLI1zzepsF6fPlgr2MkTxFAAAEEEEAAAQQQQACBHAUCp1vMKav9ZYc9O59Sq5ccX8gwBBBAAAEEpiTw8nWtig1zecmqZr8iL82SzmVwkY/56SmfrNRRWjWfD9X337OlQ0+1fKWWXswk81hrQGPUbFo/9dCHsrzJr1JG/iCAAAIIIIAAAggggAAC0xaI9vrU4ddaGU8L5alDx7TPxgsRQAABBBBIK/CFGmPW847JWo2ohbTZfnqzrQ9y2hOy0xRY3xpQRaKZFurnC1c2H+yNZMLpCMbvr3KZgxVL/qjBSyedTFbsRwABBBBAAAEEEEAAgUkF4kMBZYkjgZA5MtzWo6YtZszYt+NAfDAw6RkYgAACCCCAQO4CruGEEq0Xr272ZZj4rFYjSy5cUfWd4q+vHx5vgpz7+Yt5ZGgkua0j9OMGrzq8REbTFyNqvrlUtRKmeJ+5xKhd1GTqYkbj3hFAAAEEEEAAAQQQQGDmAoO1f1KcqJ/WqZKJROBMi3pJGzHjqtLBg6cS4YwlENar2EAAAQQQQCBHgd+eG1SupTUDH20J2OfkdoXiSy9cUe9pHdXji6wHmCNobsO07uIvTvtuXdFk8qrVTrM/9sFyY6nGajfrKueGyCgEEEAAAQQQQAABBBBIJ9C7ZZ+CxJjH5ziYiMbULdq1ukxH1S060NCUjNMt2oHEUwQQQACB6QgoVDTbQyvaetHK5rs3tr91W6daGJvBl37etaFtY1swfQXedN6w2F8jybUtgTvWjie3b9vRedgz/qtDtY1++pKLb9qSU9udYnfk/hFAAAEEEEAAAQQQQCCDgCoV3esqMhy8rqnT3r31RinjylL3hj2hps5kkn/wZdJiPwIIIIDAFAS0QuAbNrdboaI2tGzg+8u7VzbTamQKjJMO1WqW99xwVtXo1o6g4yU/POnVxGrHTp4igAACCCCAAAIIIIAAArkL9G2rUYFi9vH2/i9qMK2n2cdzFAEEEEAAgRwFhkeS6nSsEEzTdR0vcYcTqq/LtFSjYzBPUwXagrEPjM2AVnirbtG/O38lzi8JU5nYgwACCCCAAAIIIIAAAjMQGAkZCy5pHrSqE3NpGD3c2uN+3Oj/EnGx5P4M3HkpAggggEBmAQVg69uCWh7QPmNaDV/UiOTCkDOBzHwajlxXpaLZhvs5yxq/d2wgQLbIlwIBBBBAAAEEEEAAAQRmWyDS1af1FYcOn4l5/ZolHTzbmtM7JBLhNldOIxmEAAIIIIDAFAU0Ufe1m8YnTWthwNvXtNy7tUPrMT5jrNmxWh7/29H+KZ6ySIernfQLxpq5vH1HZ89wokgVuG0EEEAAAQQQQAABBBCYY4FwW497faXKEZUu9m6t1ra6uszxe3J6BBBAAAEE0guocPELNW5zPUYlis9/pOlV69usoWp/vKzRrxUaNUCNp639bGQS6I8kZPWXq5upW8xExH4EEEAAAQQQQAABBBCYFYFELO4/dtG1plwxox59W/bFh/hX26zQchIEEEAAgakJ/MtTfQrElCuaHV7+sdoIG+sGovaz9IYTajmthzc6at/PdlqB121q19RyfwyrtDzsRAABBBBAAAEEEEAAgdkU0EqMvuqTZsZozJU+336dPtGzCcy5EEAAAQQmEVje5FecqCm9VqJY7Q5rz1drnUv+rm0JaP+XDvZOckYOX7/+yJjqV2qx4tuAAAIIIIAAAggggAAC8yQQ6x/sLzs8Xsq4tTp8iX+PzJM8b4MAAggg8K6dXYoNtQCjRaEZ02ryosbHIyldjzVR+o61ua0bbJ2uKDck977S7t+cHZr53XdejX963+Xv1g/M/FScAQEEEEAAAQQQQAABBBaNQDIeT0QmzDszby3c6e7dss+MGfvLD8cGZuFfJYsGjRtBAAEEEJgLAddw4ml/uKjMMDExS/x2Xb9Sx9Kum6mj+e73bDa6wNATeS4+i7TnVFNvTbWWuSawB1nSMa0ROxFAAAEEEEAAAQQQKDKBqNvbt/1Az6pSPTyltWoerZUYJxgkk8Fzba51FUbMuKrUV9OgOdQTBvAEAQQQQACB2ROo7Lmq8OqLKbOez125pv33V7kcb/WmLR3ary7Jjv08nSOBrlD82csaP1HR0+SnGdwcGXNaBBBAAAEEEEAAAQQKSWC4ucu1ukzJYe/GvWYLaW1rI3XdxeS1uL/+fM/YYHWBGW7tKaT75FoRQAABBApHoLYvosDwk3ucQaLu4A2b2xVt2YsVFXZp8Gs3tRfO/RXelSq6XdcaeNuOzuEbKW738MTfRRbePXHFCCCAAAIIIIAAAgggMDsCscGAAkOVJkYu9+uMyWQy4vK4H68yJ0T3pVt3cSQ4bPR/WV0WvxKcnYvgLAgggAACCEwUUC3iLUsvvn1H58TdxrNfnvEpTlzR5LcOmc2ml1y4Yu1hY3YF9rnDbxyrEZX8/5uN9Rtn9/I4GwIIIIAAAggggAACCCysgGfXQU15jvb67JehsNEsYjRjRse6i8lEQoOZIm0XYxsBBBBAYNYF1IvkGUsuNqbMwHWHE09fcvHduy6Z72jmjbeuaGJ+9Kx/BDrh2cFrH3qyW7miHi9a2fxf5wZZcHEunDknAggggAACCCCAAAKFKxDtH1SEOHjojOMWlDdqf9TjC51vn7DuYnBYXWB6t1ZrPUbHS3iKAAIIIIDA7AqYs6Q/WN59Y0ruzdO/t/SSMsYDveGP7u5R8KUW0kc9kZuHbVu94YQSyFO+NC3MbKPYTCOgPjufr3HLWcKak/6d+gH7tPQ0L2AXAggggAACCCCAAAIIFKXAUO1pBYnxoYDj7oeOnHU9+uR1s1Lxatiz44BZyqifWnpRP4OnWxwv4SkCCCCAAAKzLvCRsfxQcWJ7cMJyf2uaA2ZNnX7evqZFnV8cb61qRo0xayA15kspzWIc43lqF1BX6O8dG3jOMqNJtALGB6rdPcPG5AX+IIAAAggggAACCCCAAAKpApofrQJFx/7kyIhrbcXggQZrfzIe79tW0/t4ldkCRjOmzVnS1gA2EEAAAQQQmAuBodjoO5/oMrPE121qV2D489PGmh7KD5+7vFHToh8+NuCNjlpvnUhef7J7+NP7Luuo+SpNstartnawaLCFlG1DxaK/O3/ltlXNpt4Hyrs1RTr1BRU9V3/DSoypLuxBAAEEEEAAAQQQQKAoBdTDxb1hj+PWQ81dqlGMur32/eo07V5XoS7S8UDIvp9tBBBAAAEE5lQglrj+3fqBl69rNSMvhYrRUTU0NoJEFdpZb33SG/3XQ56/XD2ejGnwPVs6fnVmSFOkrTFsZBdQDPuq9W2m8z2b2/e6wqnjNdlcga3G3LK0kS7SqT7sQQABBBBAAAEEEECgCAW8FUdTs0RPaW1q6qgiRo0Mt7uKUIlbRgABBBDIB4HzV65pocUjnsiwbU3GrlD8Pxu8r94wHosp+LpjbetD9f0anA/XXCjXcNgTUcNuM1oU4KMtgZvR7Y17EPVn919+2li3lzvXt1EUegOG/0UAAQQQQAABBBBAoCgElApq1nPaWw13uhUb9m6uspZhTERjaio9WPsnx3jNidZI/7GLjv08RQABBBBAYP4F/LHRZY3+dzzRaeZdSsZesKJJHUlq3OHUZGz+L6/g3vGhun4ZqjpUM9DNAlH7LUj723X96vNiJpCadf6FGveqZn9zSoNv+6vYRgABBBBAAAEEEEAAgUUjEFOf6FWlvRv3ao5zmptKJr37jis5tBpJK41MW6mo5tHaHzjemOYk7EIAAQQQQGBeBDRdentn6L5K17OWjoddmqj7sd09m9qDqbHYvFzRInkTRYgq+xy0rWZp3pjAf3126C9Wjk88f8nqln864FYaqdnoLx6bjf7JPS77RPVFwsFtIIAAAggggAACCCCAwEQB1SianVkUD6oZdMTlmXj8ejKZVM/oRDhi7h+qO6eR0ZRhoQsd2q/lGR0v5ykCCCCAAALzIFDbF/niwd4X3ki6VEr3th2dvz9/RfV28/DuxfkWG9qCr7ix9OW9Wzs0J9o2N/261r9UzKgPQgFvcfpw1wgggAACCCCAAAIIFJVAIhb315/vWV2mhFAPb2WdNSE61SF4ukVjwpd6JxxKJvt2HFBraa3EOGE/TxBAAAEEEJh7ATUWMSfn6qdW//v34962YGzu37Z43+FAb1iJommu9jrr29L34NZs9I9X9GjYY62B4sXizhFAAAEEEEAAAQQQKCaBeHDYV33SzBg1aXro0JmRG1WLdobh1h6N6S87fDNLVInj4bPayfxoOxTbCCCAAALzKfCunV1fqe1Vk5f5fNMifK8LQ7GP7jYyQz00M1rzozVLOssfLcOokW/e3pFlDIcQQAABBBBAAAEEEEBgkQloSUaFh2bM6Hr0ycCpZkf/F5U79j5epQH6qenS6urSt61GT1XBqD4vi0yD20EAAQQQQAABS0AViapXVGCofi7q6qKFGa1DWTZuX9Py9CUXEzTXyWLEIQQQQAABBBBAAAEEFqOAFmbs3bLPjBndG/c6VlaMXwkqTjSPmj89pbUjofBilOCeEEAAAQQQQOCmwNqWwGf3X+4K5boiSngk+cwlRrkjrV5uIrKFAAIIIIAAAggggEDRCKgcMXiuzb2uwowQlShGL/dbd6/OL1G3Vys36qFJ03pqHWIDAQQQQAABBBAwBTRvXeniXRvaAEEAAQQQQAABBBBAAIGiFUhem9j/ZU99lv4vRavEjSOAAAIIIICAQyAQTz6w3610UY9tHSHHUZ4igAACCCCAAAIIIIBAsQmMqP/L/hPjc6JXlQ4eOpOIRIsNgftFAAEEEEAAgVwERpLXf3/+ym2rms10UVOk1XL6voqenZ3EjLn4MQYBBBBAAAEEEEAAgcUsEPX4tNaiGTOq/0vwdIuj/8tivnnuDQEEEEAAAQRyEFCx4qvWt5nR4q0rmu6vcj18bOChuv5XbzB2fv2wJ4dzMAQBBBBAAAEEEEAAAQQWs0AyHleu2LO6zIwZ1UhaxY2L+Ya5NwQQQAABBBDITeCIJ/L2HZ1mtPhXa1tUxDisWkbbnwcPeXT0BycGbPvYRAABBBBAAAEEEEAAgUUooLnP8cFA1OUZbukO/qnVX3fOV32yv/xw39ZqVS2Oz5JeWWpuqPPLIiTglhBAAAEEEEBgKgItgdjfVrrMaPEFK5p+dsoXGZ0QLZon064PP9mjYXtcV6dyesYigAACCCCAAAIIIIBAfgloUrNqDjXZOdzpDl3oCJxsHKz9k3dPvWfnU+6Ne103ShMdQaLjqWtdRd/2A/27j0R7ffl1e1wNAggggAACCMyjQH8k8dVazy1LjU4utyxt/NoRjy86muX9a/siGvmpqstZxnAIAQQQQAABBBBAAAEE8lkgeK7NERWmf7q6THOfPbsOevfWq59LoKEp1NgRvtQb6x8cCYWTiUQ+3yPXhgACCCCAAALzI6CKxFeuazULF7XWYnswnsv7amHG5y1vzGUkYxBAAAEEEEAAAQQQQCDfBBLRmHtdxXiiuLqsb1uNShAHaxr89eeDZ1uHW3uil/vjQwENy7cr53oQQAABBBBAID8FfnN26J1PdNUPRHO8PC3KqKbSz3+kKcfxDEMAAQQQQAABBBBAAIG8EtDiioMHGnpWjS2fuKrUd6Bh5Go4r66Qi0EAAQQQQACBwhJIs9Ji1htQhxdVPL5uU3vWURxEAAEEEEAAAQQQQACBvBaIef0qXByvY1xTrjUY1Rg6r6+Yi0MAAQQQQACBwheIJ68/VN//tD8YqzVW9NDkpfA/Ue4AAQQQQAABBBBAoOgFIl19miJtxozuDXu0xGIyOdUahKJHBAABBBBAAAEEchMo6xq+e2O7osWnL7n4owZvbi9iFAIIIIAAAggggAACCOS9QDKpLtLu9ZVmzKi8MdLdl/cXzQUigAACCCCAQCEJnPBG373rktkI5vY1LdVulmcppI+Pa0UAAQQQQAABBBBAIBcBzY/2H290rSk3Y0bNntYc6lxeyBgEEEAAAQQQQCCLQEcw/ul9l81oUV1d/uOkd1gtXmx/FDbeu7VDCaRtH5sIIIAAAggggAACCCBQqAIjobCv5qTV/2Xw4Cn6vxTqZ8l1I4AAAgggsNACg9HRbxz2PGtpo9JF9Yz+0sFeTyRhv6hzV659+MkeM3v8aq3HfohtBBBAAAEEEEAAAQQQKGiB2MBQf/lhs5TR9eiTgYYm+r8U9AfKxSOAAAIIIDDPAtHR5C9O+25d0WSGh/dV9DT5Y/ZrcIcTX6hxayVGDXj5utb1bUH7UbYRQAABBBBAAAEEEEBgcQiEL/X2ba2+2f+lqZP+L4vjk+UuEEAAAQQQmFMBzX9+7Sajk4seb93WWdsXsb9dMJ58+NjAc5cbZY3m4zWPt719R6d2doXi9pFsI4AAAggggAACCCCAwGIQcPR/2X4g6mL60mL4YLkHBBBAAAEE5lTg349771zfurl9Ql2iVl78/fkrt61qNnPFF61s/vuqy/92tF+D79nSoZ3PW964aeJL5vQiOTkCCCCAAAIIIIAAAgjMm0AiFvcfu2j1fwmdb5+3t+aNEEAAAQQQQKAQBSKjyfiERi7Xt3WEXrW+zSpZXNHk1xj7rR3rj/7FSiN7LO0K2fezjQACCCCAAAIIIIAAAotGQP1fBmsaXGsrEhGaPC6aT5UbQQABBBBAYM4FjngimgFtRov6+fXDHq3QmPZdn+qNqCOMKht90dG0A9iJAAIIIIAAAggggAACi0CAdHERfIjcAgIIIIAAAvMj0BKI/W2ly4oWtfFoSyD7W6s1jIb95JQv+zCOIoAAAggggAACCCCAAAIIIIAAAggggMAiFuiPJL5a67llqdHG5ZaljQ/sd+vnV2p7J73l1kBML1GPmElHMgABBBBAAAEEEEAAAQQQQAABBBBAAAEEFp9AeCT5nw3e5z/SpJxQj/urXO3B+JcO9j5nWWOmmdEOhL9a26I0MpF+FrVjLE8RQAABBBBAAAEEEEAAAQQQQAABBBBAYPEIaAb07WtazGjxnU901Q+Mr9v8l6ub/2ZnVy73qVzx1hVNWoYxl8GMQQABBBBAAAEEEEAAAQQQQAABBBBAAIHFJPDgIY/SxVdvaNtl6wTtj41qpw7lcqdHPRENfs+uS7kMZgwCCCCAAAIIIIAAAggggAACCCCAAAIILCYBb3R0WaPfMbtZc5015fkt2ztyudNPVPQoYPzW0f5cBjMGAQQQQAABBBBAAAEEEEAAAQQQQAABBIpB4J7N7U9fcnEwOpr9Zn92ymgh/eLVzeoRk30kRxFAAAEEEEAAAQQQQAABBBBAAAEEEECgeAT+69ygksOvH844S3okef279QMKITWs1Da9uniIuFMEEEAAAQQQQAABBBBAAAEEEEAAAQQQyCSg/tFv39Gp8PAnp3ypY6rd4Xu3dujoM5Zc/PnpNANSX8IeBBBAAAEEEEAAAQQQQAABBBBAAAEEECgqAS3P+Ip1rUoRlSX+uMGrLjB/bPQ/fGzgrg1t2qnHS9e2HOyNFJUJN4sAAggggAACCCCAAAIIIIAAAggggAACuQs0+WNvG6tjNBNF6+fta1q+Uz/gm7hCY+fV+KMtgb2uMOsx5i7MSAQQQAABBBBAAAEEEEAAAQQQQAABBBa9wNnBaw8e8nyq6vIXatz/esijFRcdXacl8E8H3Fb8+LQ/XHyorj+uXtT8QQABBBBAAAEEEEAAAQQQQAABBBBAAAEEchCoH4iqrPHzNe4H9rv/am2LwsZ3PNFJxpiDHEMQQAABBBBAAAEEEEAAAQQQQAABBBAoLgHFhpvag9847PnpKd/gxFnSJkRoJPn3VZeVMWoadXHRcLcIIIAAAggggAACCCCAAAIIIIAAAgggkFWgJRCzmrwoQnze8sbvn0iTIsYS1+/Z0qG50qpszHo+DiKAAAIIIIAAAggggAACCCCAAAIIIIBAsQgoXXzhymblii97rPUHJwa00OLzH2nSU22kEhz2RHTo/j2u1EPsQQABBBBAAAEEEEAAAQQQQAABBBBAAIEiFPhKba8yw3u3dgzFRs3b7wrF37WzSzt/ecaXCnLP5vZnLrnovzE4dQB7EEAAAQQQQAABBBBAAAEEEEAAAQQQQKB4BF6xrlVZ4h7XVfstB+PJN2xuf8aSi7V9Eft+bT9QbbSWPuFllrQDhqcIIIAAAggggAACCCCAAAIIIIAAAggUo8DdG9sVGPaGE46b7xlOvGR1yx2PtTqKFT/8ZI/GV/ZMCCQdr+UpAggggAACCCCAAAIIIIAAAggggAACCBSJwH2VLgWGJ9NVJB7oDauI8ZO2FRdr3OFbll7UIo2R0WSR+HCbCCCAAAIIIIAAAggggAACCCCAAAIIIJBFoLx7WAHjlw/2ph3zi9M+86jmSqsFjNJFPf3XQ560g9mJAAIIIIAAAggggAACCCCAAAIIIIAAAsUmoEpEdXhRbLirK5T23n92yqeuLhpgPj5VdTlO9WJaKXYigAACCCCAAAIIIIAAAggggAACCCBQlAJN/thzljW+YEXTlvagA0CzpM34Uemi2sFs7XAOcIznKQIIIIAAAggggAACCCCAAAIIIIAAAggUocART0QtXZQifqC8+1dnhnZ0hv7jpNeKFv9iZfOvzw7FnH1gitCJW0YAAQQQQAABBBBAAAEEEEAAAQQQQACB9ALqFv0/5698dHfPy9e1WhOin72s8aG6fkcj6fSvZy8CCCCAAAIIIIAAAggggAACCCCAAAIIFL1Asz/2uk3tChif9oeLn9t/uSsUt0gGo6O/O3/lLds71EX6ecsbn7u88U1bOh5tCVDZaBGxgQACCCCAAAIIIIAAAggggAACCCCAQJELvHm70fDlDZvbT/uuWRSKEB885LllaaNV2agNq/OL5laf8EatwWwggAACCCCAAAIIIIAAAggggAACCCCAQNEK3LWhTeFh/cDNwLDzatxcjPHpSy6+r7R7XWvAGx1VI2m1kt7rCj+w3639yhjttY5Fq8eNI4AAAggggAACCCCAAAIIIIAAAgggUOQCPz3lU8Coli6mQ3sw/sKVzdpzx2OtdbbU0a6klRs1QBOrg4od+YMAAggggAACCCCAAAIIIIAAAggggAACRSyg2dDbO0NWUPje0ksKD/9mZ9dQbDSLynfqBzTsv84NZhnDIQQQQAABBBBAAAEEEEAAAQQQQAABBBAoKoGVzX7Fhi9e3eyJJLLfuNpMq9/0G7d0ZB/GUQQQQAABBBBAAAEEEEAAAQQQQAABBBAoHoF3PtGlgHFrRzCXW9byjBqspDGXwYxBAAEEEEAAAQQQQAABBBBAAAEEEEAAgUUvcPualmctbYyOWhOms92xGTD2TVbrmO0UHEMAAQQQQAABBBBAAAEEEEAAAQQQQACBxSKgji2qSHzL9pxmPWvwrSuanvaHi4NRKhgXyzeA+0AAAQQQQAABBBBAAAEEEEAAAQQQQGAGAqGRpALD125qz+UcZpMXFTHmMpgxCCCAAAIIIIAAAggggAACCCCAAAIIIFAMAq/e0KYixt7wJB1etnWENEyP0q6QWDT+qCdi93GHE9mbUNsHs40AAggggAACCCCAAAIIIIAAAggggAACi0PgF6d9ig1/ecaX/XZaAzEt1fi781c0TAs23raq+WWPtcbGUklNnX742MBzlzd+/bAn+0k4igACCCCAAAIIIIAAAggggAACCCCAAAKLTEAtoe94rPWWpRf3usLZb+3M4DVrwPeODSiW/Plp3/+cv/Li1c1mceNHd/dYA9hAAAEEEEAAAQQQQAABBBBAAAEEEEAAgSIROOmNPntZoxZj/FTV5Z2dodO+a2Vdwz9q8CYyd5YOxJPPf6TJzBX18/Wb2yt7rhYJF7eJAAIIIIAAAggggAACCCCAAAIIIIAAAg6B8u5hTXm2AkNzY3mT3zHMfHrEE/nrJzrNMeorvarZnzmJTHsCdiKAAAIIIIAAAggggAACCCCAAAIIIIDAYhPQyoq/PTf4uf2X37Wz64Pl3T9u8J7wRh03qZUYP1npMqPFF6xoesnqFi3M2BWKO4bxFAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQsAt4o6MPHvJoqUali7csbfzXQx5fdHRLe1BPP7Pvsn0k2wgggAACCCCAAAIIIIAAAggggAACCCCAgCUQHkn+5JTPWnHx/j2utmDMOvq2HZ1PX3KRIkYLhA0EEEAAAQQQQAABBBBAAAEEEEAAAQQQMAW0suLKZv/ta1rMOdHveKKzbsA5afqUL1qfshNABBBAAAEEEEAAAQQQQAABBBBAAAEEEChyASWHb9jcbkaLd21oU3fpIgfh9hFAAAEEEEAAAQQQQAABBBBAAAEEEEAgR4GyrmFzucW/XN289MKVEbpE5wjHMAQQQAABBBBAAAEEEEAAAQQQQAABBBC4ft2sXXxfafdgdBQPBBBAAAEEEEAAAQQQQAABBBBAAAEEEEBgSgL3jE2Obg/Gs7xKVY2aRl3lCm/tCKriMU6VYxYsDiGAAAIIIIAAAggggAACCCCAAAIIIFBMAj895dPqi8sa/WlvuvNq/OFjA3esbTVXaDR/vmhl84OHPB1ZM8m0Z2MnAggggAACCCCAAAIIIIAAAggggAACCCwyAV909IUrm29b1eyPTZgirSrFn5zyPXPJRTNUfPm61k9VXf6HfZc/UdHznGWN2qmX0FR6kX0ZuB0EEEAAAQQQQAABBBBAAAEEEEAAAQSmIbC+LbipPWh/oTuceM+uS1bVoooY7UeHYqPfqR/Q0dvXtGjbfohtBBBAAAEEEEAAAQQQQAABBBBAAAEEEChygcho8u5N7coPX7q2RSsumvWNgZSFF79x2KMxXzrYW+Rc3D4CCCCAAAIIIIAAAggggAACCCCAAAII2AW+Utur5PD1m9vNvtL/7+yQnn63fkIRo8ZrDvVfrW153vJGx9xq+6nYRgABBBBAAAEEEEAAAQQQQAABBBBAAIGiEjjsiShOVGzY5I+ZNx5LXNcCjFp3sWc44aD456fcGlzaFXLs5ykCCCCAAAIIIIAAAggggAACCCCAAAIIFKfAz8aaSn9v4qKLWqTx/7d3969R13EAwP8BNQuzB+yJCpPoSRBCKugJsl+KfigiEKQHqEDoF6F+0PpNgtJNfGZNw5yoMxNJU3SoaKSBrtt2bLs5N/fkZre76e1JZ31uZ2vedC5UzLvXOI7vfb7v+9x9Xruf3rw/n3dIJL63qynLZOFgceOi8njWuJcECBAgQIAAAQIECBAgQIAAAQIECOSnQGgVHXKJPzemspY/oyQ2viBy9HTv8PE5e1pC8K6m7ODhMa4JECBAgAABAgQIECBAgAABAgQIEMgfgZkb60LOsDmVvRt6d1MqjL+69cQQRej6Mm1Nze2FFaEpzNCgCwIECBAgQIAAAQIECBAgQIAAAQIE8lkg7IMOicQNscscqzhrW0O4teOf4sYFg5upXyw9ns9c1k6AAAECBAgQIECAAAECBAgQIECAwHCBklj6uMUP9jYPH8xcl8d7JxREpq+PhYLF4upEqF28a3llNHGxF8zIeCMECBAgQIAAAQIECBAgQIAAAQIECOSbwPkLf00trr5jSUXWcYsZh9m70/WNL285EZ7HLY6U6h+db78P6yVAgAABAgQIECBAgAABAgQIECBwNYGylu7bCiKPrakJJYtZsU2p85OWVoTs4uRllaurEll3vSRAgAABAgQIECBAgAABAgQIECBAgEAQ+GrwfMWJhZF3fzm58Oifi8rjnx1sS51LN3OZd+jUS6XH67v6M1C1yf7fO3pDTvLYiGwkSQIECBAgQIAAAQIECBAgQIAAAQIE8lagKJqYsrIqFCsOPeYfbg8afYP9pUOb6S+PdIQu0kN3w8WMktiSis4eTaXz9kdj4QQIECBAgAABAgQIECBAgAABAgSGCZzuGVhXm/zit/aP97eGIsYDrd3hZjik8fNf28Me6kxq8Z4VVc/8UPvK1hOPfFedGXlze2O60tEfAQIECBAgQIAAAQIECBAgQIAAAQIELhVoPHv+hc31mUTi69safqw/OzyXeKSjZ+bGunB37oG2S9/nFQECBAgQIECAAAECBAgQIECAAAEC+S7Q2TfwcFG6TPGBVdHtDWcuyxFiQkFjiCmJJS8bYJAAAQIECBAgQIAAAQIECBAgQIAAgfwUeGfnyZA5fHJdbXvPwCgCsWR/CHtuU90oMW4RIECAAAECBAgQIECAAAECBAgQIJBXApvrukLa8O7lldWJvqsu/Inv00WMI7u9dJ270JQabBJz1SkEECBAgAABAgQIECBAgAABAgQIECCQQwJz9rSEnOE35fGxrOmTfa0huCb5byoytIYprIjfv6pq1raGscwghgABAgQIECBAgAABAgQIECBAgACBXBJ4dkO6e0vdmf6xLOr9vc0hOJzHmAkure96fG1NGAmPp0Jf6v7hnWHGMp8YAgQIECBAgAABAgQIECBAgAABAgRubYF7V1Tdt6pqjGsIWcSwSzoEHzzV8/ymi12nH1wdXV7ZKbc4RkNhBAgQIECAAAECBAgQIECAAAECBHJJ4OnB3tDNYzhBcX9r97jFka+PnX5rR2OmanHyssr5h9tT5yQXc+kXYS0ECBAgQIAAAQIECBAgQIAAAQIE/oPAp4PHKhZFE6O/JzSYfqgoOr4gMrGwImQXJxZGPiprHb3r9OgTukuAAAECBAgQIECAAAECBAgQIECAQA4IhJMTJxREphZXt3VfsQ10NNE3fX0sU7UYnt/Y3hhGcmDtlkCAAAECBAgQIECAAAECBAgQIECAwLULLDjSEdKGM0piZ0dsdu4ZuFDwR/zOpemqxfCYubEubJS+9k80AwECBAgQIECAAAECBAgQIECAAAECOSMQjlD8sCzdHjpsgp57oG1fa3dZS/f62mTYPR1awGRSi9PW1GyIdeXMki2EAAECBAgQIECAAAECBAgQIECAAIHrK7C2Jplp+JLJKA49T1lZ9W15fERt4/X9cLMRIECAAAECBAgQIECAAAECBAgQIJALApWdfW/vPJnJLk5aWjHv0KlkvybRufCftQYCBAgQIECAAAECBAgQIECAAAECN1pgS33Xo8XVIbsY2r7M3t3UlLpi25cb/U3MT4AAAQIECBAgQIAAAQIECBAgQIDALSdQFE2E7OJrPzUci/fecl/eFyZAgAABAgQIECBAgAABAgQIECBA4OYKhL3QmkTf3H+BTydAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAv9ngb8Bqo1QYAplbmRzdHJlYW0KZW5kb2JqCjI5MCAwIG9iago8PAovTGVuZ3RoIDMwNiAwIFIKL1R5cGUgL1hPYmplY3QKL1N1YnR5cGUgL0ltYWdlCi9XaWR0aCAxNzM5Ci9IZWlnaHQgMTUyMgovSW50ZXJwb2xhdGUgdHJ1ZQovQ29sb3JTcGFjZSAzMDcgMCBSCi9JbnRlbnQgL1BlcmNlcHR1YWwKL1NNYXNrIDMwOCAwIFIKL0JpdHNQZXJDb21wb25lbnQgOAovRmlsdGVyIC9GbGF0ZURlY29kZQo+PgpzdHJlYW0KeAHs3Yl3Y3l95/2/BRqaTnogZLIAE8gQEsIzwCQhk4VkyJBkeMiQPTnZZ+BMd3XTTXfTnfT+0BvQdLN0N71VajHe8IaXKttV5UWyFlvWUvIqqSypLFldPJ/f/UnX17Jsq6q8SNabc4/n6urq6t6XijOHT77f3/fHP+Y/CCCAAAIIIHCUAvlcoa99avpi9Chvgu9GAAEEEEAAAQQQQAABBBBAAAEEEEAAgeYUSMZSChinxgkYm/P3464RQAABBBBAAAEEEEAAAQQQQAABBBA4OoGr+eK5vqACxsux1NHdBd+MAAIIIIAAAggggAACCCCAAAIIIIAAAk0msLFRSkRXh7r9ShdHegPF4kaTPQC3iwACCCCAAAIIIIAAAggggAACCCCAQH0ChatFrRNY37mctYdAobChnmituDjQOa1oUdvoQEjCe3yMtxFAAAEEEEAAAQQQQAABBBBAAAEEEGhCgeyV9ZmJeH/H9PSFWBPefqPc8rVr19Kr2bnA4thgyIaK9u+F4dlkPKV3G+VGuQ8EEEAAAQQQQAABBBBAAAEEEEAAAQT2SSC1nJ0cnXfTMFXZlUrkYNeHW1SxYjylbHaw2+dKKq2dGJ1LzK/m8xSFXp8nZyOAAAIIIIAAAggggAACCCCAAAIINL6AqukWL6fHhsJuIHZxZHZ5aa3x77wB71CDoV3Gc/3BoC+xsrhWKpUa8Fa5JQQQQAABBBBAAAEEEEAAAQQQQAABBG5SQAWK8bmVkb4ZNxPTOoGZdO4mL9vKH1f54sT5SHRuhRUsW/mfAc+OAAIIIIAAAggggAACCCCAAAIIHHsBdfJGQouDXeU23v7O6eBUgkzscH53lYzSe3441HwLAggggAACCCCAAAIIIIAAAggggMC+CyhFVJaoRNFWLQ51+5U0Km/c9y/igl4Bm+iquNGtFz3XF1Q/9VIy4z2NfQQQQAABBBBAAAEEEEAAAQQQQAABBBpWQL3P6oB2u6GVdKk/mlK6g/69lOhqKvdAJdGVv2a+aHN/CP+l2EbxrYO+Da6PAAIIIIAAAggggAACCCCAAAIIIIDADQtoYsvFkYibaGmeiwrn1Kh7wxfkg3UKZFZztg9diaLSXQ18cfvQr14taraOLWgcGwzVeUFOQwABBBBAAAEEEEAAAQQQQAABBBBA4NAEVJ14OZYaHQi60eLk6Hx6hRkuh/QLpJazA51mlcvJsXnFiTW/VTHv9IWYzlHYWPMEDiKAAAIIIIAAAggggAACCCCAAAIIIHBUAipTtNGiyuf8E7HslfWjupMW/F4lh8O9AfnPBRZ2f3wtz6gqR5Uy0q6+OxTvIoAAAggggAACCCCAAAIIIIAAAggcsoAyLtuBm1rJHvJX83U23dVUl3ooNGdHUaQqHus5mXMQQAABBBBAAAEEEEAAAQQQQAABBBA4NIH4/IqSq5nJ+KF9I19kBdQWLfkrmXw9IIvxtE7WzJ16TuYcBBBAAAEEEEAAAQQQQAABBBBAAAEEDk1gY6M02O3TCOPCDmsAHtqdtNoXTYzOKTOs86k1/MUEjPMEjHWCcRoCCCCAAAIIIIAAAggggAACCCCAwOEJaA1AhVezM3usBHh4N9Qa3+S/ZEa3XCvVNao7GU/pZA37bg0bnhIBBBBAAAEEEEAAAQQQQAABBBBAoJkENENEFYyqY1Q1YzPdd5Pfa8ifVGaYzxfqeY7RgdBQj9+bRqri9HJ0dWo8uueMmHquzzkIIIAAAggggAACCCCAAAIIIIAAAgjcjEBgKqGwK8oSfzeDeJ2f1cQWmWt4956fuxwz5YsqYtRQnvRqToni2GBYR+ymMT17XoETEEAAAQQQQAABBBBAAAEEEEAAAQQQOFCBfK6gtGq4N6AI60C/iIt7BcaGTE64+5wXOz96fCg8fTE60OVzc8WBTp/GxCTmV67mi95rso8AAggggAACCCCAAAIIIIAAAggggMCRCKjZVuGVyuSO5Ntb80vVHz3Y5dOm6S1V0a66ofVbKFd0E0W7c64/qN5qVT9Wnd+agDw1AggggAACCCCAAAIIIIAAAggggEDjCGRWc4qwxgZDjXNLrXAnubV1mUtenc5TY/MhX1Lt6hdGZpU6utFif+f05Oi8QkgVmraCCc+IAAIIIIAAAggggAACCCCAAAIIINCkAsq1FGqtLDOq+FB/QHWlL15Oqz/dTRTtjiLH4FRiZXGtVN+k6UO9ab4MAQQQQAABBBBAAAEEEEAAAQQQQACBbQLLCxlFWxOjc9veMQfcscUKvlR0d/F8RPEXCwDWtKr/YCaduzgy298xbUPF/o6pi+dn43MruTWKFetX5EwEEEAAAQQQQAABBBBAAAEEEEAAgUYRGB0w7bpVY0eKxbf8l2I2Aav6q0As6EuUNkqN8gDNdh/ZK3mRjvQG1BmtgHcDyWb7BblfBBBAAAEEEEAAAQQQQAABBBBAAAGvgBpy1a7rHSCylEwPdZv1ADW2WIOMNXlExXXaFEJqwPFQj19v6bj3Iuxfl4CWYbyu8zm5dQRUIazpS6oZtsG+WahzPFpn2bD97GC3T1v9n2odW54UAa9AqZArpuYL8bF8pD/nP5ObflOb9rUVV0KlfNp7MvsIIIAAAggggAACCCCAAALXJaB00SYb6puuGWto2LHe0jmJ+ZXrujInI4DA7gL6b5yyQftfQO9fHaz5X0bv1bZ/tp5Pea/APgItIrCRXVqPDttEcZe/+WCHEsgWMeExEUAAAQQQQAABBBBAAIF9FDAZhTPLeH52aZfLFosbKqwa6JzeM/TY5SK8hcDxFtB/O1RGqJRPW531hJNj895c0buvt3bnqvnZPT+1+zV5F4FjJqCqxXqiRW/qaGLGdOKYOfA4CCCAAAIIIIAAAggggMCBCmj4iDKNmcn4nt9iCx3VMb3nmZyAQAsK3Fg94YAT73tzRXdfkf7ujDU/q2xz90/xLgKtI6DCRbcV2hshVvZP5qbtZnqlq7ZCcqJ1oHhSBBBAAAEEEEAAAQQQQOBmBEqlaxptPNTtv3Zt78vkcwVFHxdGZvc+lTMQaD2BG6sndOPEmju7K9YMGHVw90/xLgItIrCRmq/KDCtxopsr7rRTDhvXwz0tYsVjIoAAAggggAACCCCAAAI3I5BeySrWmJnYu3zRfouaqfesqrqZ++GzXoH58FL9P433g+wfiUDNuG/PesKauaJ7cPcHubFIc/dr8i4Cx0Ngx3TRdzLnO7Xzpne9qeObmghzPEB4CgQQQAABBBBAAAEEEEDg4ATicyuKMjQzup6vKFwt6uSLI5F6TuacmxeYclbnKxbfspfS1G8Fwvl84eavzBUOQqBmwLhnPWHNT9mAcc8wX03ZVR/XS1ZJPYgfl2s2l4DmQW/rjHaSw81o8XTOV3PzZI/l7umThcSl5np87hYBBBBAAAEEEEAAAQQQOGSBxctmfnSdyyomoqs6eW5m4ZBvsmW/zoIrBL4cS01fjNooaS7AGpgN+i/ixuoJa37KBox6a89HVZyo0/RvQ5t2SBf3FOOEVhDIR/q3Nkd700UnV/SfMQnk9m3GTR3dpNEUNCqxbAU3nhEBBBBAAAEEEEAAAQQQuDEBu6xiPTmGpkif6w8q91hZXLux7+JT9QuoWDGTzgUm4zZocv/qJ4jOrdR/Hc48TIEbqyfc/in7c1OLeJi/Hd91nAS2NUe76aI3Wjyb85/NBbZuOmI2J3jcmjTmIz86TkQ8CwIIIIAAAggggAACCCCw7wIXhmc15yV7ZX2XKyvvung+otxjcnTvkqpdrsNbuwsUCxuqKVWxohbuc0NF7Uycj6iOkeK03fUa4V39RjdQT2g/pYZo+6Nrh1rERvg1uYcmFcgHOzzli550UZmhCQ9tqNiWC7TlA+3eTUcqmydpLHdSnyqmE00Kwm0jgAACCCCAAAIIIIAAAocgkM3kBzqnVRq3sVGq+XW5tXWFkIo+hnv8SsBqnsPBmxFQsaK61MeHwt5QUb9I0JecGo/q4JV0/mau30SfVdSmR1a+qk07ZKpN9Ntxqwg0goBiwC3potZRLK+76KaLlWgx2K4ocuumIyZyrBkzFi6PN8IDcg8IIIAAAggggAACCCCAQMMKxOfNqBclWpejq6VSOWa0I0WCvoTqG/WuqqquZFol5jqEX0q8ajbXkOghT7Fif8fUxOicihUV6tp7sGO+61wk8xBu+0C/QnFiVemmXpIxHqg5F0fgmAmsR4e3BIzlmdFb0sVU+4n4wx9afvNvs5deyYc6t2ybkaObNFaqGYPtpSIzto7ZvxceBwEEEEAAAQQQQAABBPZZQMVytnxO1YzDvYFzfcHBrs0u3ZA/WSpd2+evbOHLaRK04lwLrr8C13KLyhu3I1+79mP9EGND4VbQUl+wa+Lu1LNAaCvg8IwIILCngALALeliuXzxdM40R5vOaNMQHWxfePY3Ine8zWx33pL82sdT7XeqdTof6qpsTuRYThq9MeOZjezynvfACQgggAACCCCAAAIIIIBAiwuoas425LrZzthgaHZmQT3UXhlFXjpTadhOLdXek9mvKaBVFoWs8jyVJrrFijXP1MGlZKZFakftmGz3n5/dkdJOMhxHAAEEvAJbx7t4Vl/U0otmnkub6YBWcug/rSLG5OO/Uo4Z73hb9O7bFr/xO5m+f82HOvLh7m1JY7lpurg66/069hFAAAEEEEAAAQQQQAABBHYR0MBo9aUWrha3n7OUTLtNrKp1VGXj9nM4sqeAXW5RSy/ueeYuJxy/3uGaAaMO7oLAWwgggIArkI/0b6lgNKsvuuWLzkgXpYuhznTXvYlH/rPKF92A0d2J3feepe9+bu3csyZmLCeNnc46jaaUsbAw7X4XOwgggAACCCCAAAIIIIAAAjcmoKpFW1SmykYtHqiZL3o5fSGm5QRv7IIt+yn/pZjobiAhlHR6Jadcd3TAdFhXFZc2uyct0s3+C3L/CByhQKmQ86SLb+bc/ujy5Ghbvti++OJnFCfGHviZ1dP/kh3/dnbq9ezka+kfPqBcMXrvT7pJY/zfPrD8xt9kJ17arGYMdqxHR47wAflqBBBAAAEEEEAAAQQQQKBJBVLLWe+dXzxvZkkHpxL2oMIupYs6Ep1b8Z7G/p4Cl2MpuSVjqT3PtCeomlTzd8x4Zc/CmKogVUFpnVdoitOUuFYVMerlDcSwTfGw3CQCCOyvQHEl5AkYa/dHr578e0WIyac+YXqlwz35uZ78bK+2dbP15f1nll/508id73BjRnPyM7+2NvKMEzN2FpKT+3vPXA0BBBBAAAEEEEAAAQQQON4CKkpUmZxCsNTKZsaoQdI64g18NJREw0qUehULG8cbZH+fTk3oc4GF7JXyqOiaFzdTvFdzczMLY4Nhsbubahf10yj73T4RpuZ1muug/nWpjlG5ojbteP+xNdeDcLcIIHDIAmpkrhEwmvEuWoDR6Y/2nYree3v0y7eb4dFKF7V50kUFjGaL9KU77zHDX5765MJzn4qceKcNG5PP/pqqGQsroUN+KL4OAQQQQAABBBBAAAEEEGhqAc12UaI10OlTW7T7ICO9AR2smu2SjJtivMT8qnsaOzcjoGJFkWoKjLeWTz+E0rbE/AqB283Y8lkEEDiuAqV82pMuuv3Rpyrzo03AuDb0lNLC5Ve+4KyvWCtgjChg7Ne2evIfFEXmtX7j9Mmllz4XuetWfTD20PvytEgf139APBcCCCCAAAIIIIAAAggcgIAyrv6OaW1VS/yND5tSuqqMS8V4OjhxPnIAN9Iql1SxYkbFioGFsaEtxYqC1aYfQiWLew6bbhUsnhMBBBDYJlBIXKodMLoLMAbaNTlaOWHqzJf2DBjVQK250kvf+awKGlXWqHUa4w9/UJ9NPP4rPy5Rrr9NnwMIIIAAAggggAACCCCAQC0BrQ2oXEtjXKreDEzGddxb02hP0EH17VadzMs9BdRXvhhPa+CLd2XF/s7pydH5+PyKmqBza4Urmbz2xauYMc5al3uacgICCLSkwNb+aE8FoydgXHr1zxUSpnsfLE+I3rIGY7k/2lYw6m/y2d+InHiX81Jv9eZ8b6qCUR8vRPpbEpiHRgABBBBAAAEEEEAAAQSuW0D9zsoMNYik6pN2NEkktOg9roJGnTw+FPYeZL8eAS1fKTq7aX1LTc9ReFtzZUUdVNO0zlTeWM+VOQcBBBBoHYFiOrG1fNETMHrWYEy13aGEcOnlz+dD3TsXMZoWaRMwPvlfdLJKGW0Ro1ZrtB/XCo2tA8uTIoAAAggggAACCCCAAAI3I5CI1g4YlW4p45oYnfNe3A6S1pqN3oPs1yMgNA3mVl2iKhX3PL9UKg33+NVDveeZnIAAAgi0lEAhPlYrYNQg6dM535mc/6yGvOQC7bmpNyInbjGLK/rbKgFjbz5spki7g6RNnOgEjLGHfj72lXdXKhj7zDnhXpNPvvS5lrLlYRFAAAEEEEAAAQQQQACBGxbI5woKEre3SGupQB1XzOVeeWrclNWZKdLFt9yD7ByQgKJIaS9eTh/Q9bksAggg0HQCpWLBzImeVtWid1O6eMoEjGaEtALG9lywIx/sTD79SYWE+quZLyYznNOoFzdjNK3QdpZ0pucBnbb4rU+75YvmzFCPDqa77ms6Im4YAQQQQAABBBBAAAEEEDgqgdGB0FC3v2pgtG5moHNaGZeq6eyNafiIRktfSdO3exg/VCadEz7FoodhzXcggECTCGyk5rdGi05/9LQTMJYXYHQqGIMduWBn9tKrsa/+rHLCxJMfW7v4kq1d9Px1KhV9Z2L3/1T0rnflLr3m5I2mvrG46LNDqPO+U00Cw20igAACCCCAAAIIIIAAAkcvkIybOS+z/qT3VuzAaGWM7kGNKdHmvmTnQAVsZakWYzzQb+HiCCCAQBMJrEeHtwaMJ3MmXXT6o23A6G/LBVXB2JkLdeZDXdnxF9UlrYwxcuIdiy/+QWb4WR0sZ4zhntUf3BG77716d/mNv9kMHsM9xbWFxec/reNvXakef9ZEVtwqAggggAACCCCAAAIIIHD4AhdGZpUxRmeX3K8O+hI6ouPuEXYOU8BO91Zb+mF+Kd+FAAIINKxAqZCrlS6qOVrbGbOZ1RfdgLErp/EuoW7VMS688JnInbeYmNEkje+KP/KLsQd/TlWL9sjC139LY6nzGjNtt0hfIdKnt5a+ywKMDftvgRtDAAEEEEAAAQQQQACBBhUoXC3aMccacOy/FFPTtNJFbamVbIPe8bG+LU3rPtdnpk5vn+59rJ+bh0MAAQR2FCiuhDwBo61dtOni6ZyZH21XXzQLMKp8MRcyAWMurBHSZunFtfFvqYIx/q+/ELnj7TZX1N/YV38u3ftQJVq0w6a7NRQmdv9P67TiwsSOt8IbCCCAAAIIIIAAAggggAACOwio/XlybN7mivqrVRlTy6SLO2Ad2GGthKm53sLXT6AVL9WofmBfxYURQACBZhJYD/dsCRhNZ3Rltovpj7bli1p9URNeuvJhbTZdtLNdnL9zPSp0zAx9Ta3TCiQrJ5hCx7XR55de/YuFb/1e5MQ7lT2uDT/dTDTcKwIIIIAAAggggAACCCDQYAJXrxaXFzK5tYKmSDfYrR3n2ykUNtQTrRUX7WAdpYsqIlVZ6XF+Zp4NAQQQqFtga3+0W75oaxft8GgFjO35QEd29PlM77+mu+7NTr5aqU7sqYyQdsNGJ3s0PdRddjPRotNDHf3y7WuDT9R9X5yIAAIIIIAAAggggAACCCCAwFEKKMJNr2bnAotjg+WGdFs+emF4VmN3CHiP8rfhuxFAoMEEColLW8sXK83R5eHRbflAe27qjYXn/pvbAW2aoB/8+aWXPrd27utu0pizCy0qWjT1jTZd1DiYztSpf1n6/p+mOu66ll9tsEfndhBAAAEEEEAAAQQQQAABBBCoFlAruvLD6QuxwW6fTRT1t79jemJ0LjG/ms8Xqj/AawQQQKDlBTSHpRIwesoXPeliPnAm/rCWWNQYl1tiD71Pk1w0z8UNG+P/9p80Kjp76ZV8qEcLM+bCWqHR2TRv2rRUd5h8MtCuOsmWlwYAAQQQQAABBBBAAAEEEECgoQXSK9nRweD3nx/45mOd337qhz94fUyDdTSte2VxrVQqNfStc3MIIIDA0QlsZJcq6eKbuWktveisvmgGu5Sbo/PB9tTpf1GcmHjsl9QirTUVzRZoy/Q/uvDCf4/e8xOVpPHtiSc/tnrmS1kt3miixc5coEO5Yi6odLEtP9t/dI/INyOAAAIIIIAAAggggAACCCBQl8DoQFBVi22vn//+1/vOfH9spC9Y18c4CQEEEGhtgUJ8bGvA6M520eRo0xyd952K3fdT0btvy15UjaId71JZZVGt0IH2VOdXks/8WuTEO8pJ44lbk8/9ZuqHDzjRokkXNfNlIx1tbWaeHgEEEEAAAQQQQAABBBBAoAkEBrumFTAO9/iHe/3n+mZUvljzprX6Yj5XuJpnwktNHg4igEDLCZhKxWnVLjrli6aCsRIwBpyAMdie7n9EyeHyK19wVla06yvavz3lakaTOnZpkcbVU/+ceOwjNmZMPvVxJ1o06aKmS5eKrFDRcv+0eGAEEEAAAQQQQAABBBBAoOkEBrqmh7p9Qz2+kd7AiALGH20JGK9k8jMTcaWOWo/Rrs2oidLjQ2Et2Nh0T8oNI4AAAvslsJGar6SLnv5on+2PdsoXgx2rp/5RmWG66/5KwKhp0dqcjNG2S9tp0cFOs9xisGNt7AUz0qXrvpwiSqWL/jPrsfP7dcNcBwEEEEAAAQQQQAABBBBAAIGDExjqCZQrGPv8ChIvjs7Z70qv5C6MzLoDX4a6/aMDobGh8EBneQqM5r8UrlLQeHC/DFdGAIHGFViPDtcIGM0CjJX+6GBH6swXFTA606Kdzmg7KrocMG6Ois47AaNZdFGb3ylcVG2kLjVzuphONC4Bd4YAAggggAACCCCAAAIIIIBARUBDXsYGg0M9flUwXjw/m1k140qTsZQtWdTBkD+pmDHoS9pPXLv24/RqVkWMOjg2GK5chv8XAQQQaBUBtS170kVVMKo5utIfrYRQqy+aisTOteGnFTCu/uAOp3DRli+6FYyVgNFOi3bmuVQKF01ndE7FkIH2VgHlORFAAAEEEEAAAQQQQACBBhDQ8oAbxbeuXi3m1gpq6VVitry0tng5fTm6Gp9biYQWZ2cWglMJ/0RsajyqursLw7MqxsteWW+Ae2/EW4jOrtjCRenJVreoFRqr1mbU8ZnJuE6jV7oRf0LuCQEEDlLA0x990syPtgGjag4Dmh/dphEtJmAMdWp9xcSjv5h86hN7BYztGvhiPmg6o53aRaWLvlOF+PhBPgTXRgABBBBAAAEEEEAAAQRaV2BlcW3ifGR8OKyEUAsGavHA/s7y2oA2E6v/r/9SrHUdd37yjY2SmqD7O6ZE7Z4VcLLE3NqWSLa0UZL/cG/AhpDuyewggAACx1tgPdyzOdvFjncxzdFKF01/tBMwdi48/+nkM7++/MbfRO66dfnNv83P9ubnPEWMZg3GTrOZCkabLlaao026aALGUj59vBl5OgQQQAABBBBAAAEEEEDgqASKxbfcaSM1s0QtGzg5Nq/wUCWLszPJ+fBSYn5V1YyKy1TZmM3kM+mckkl9Vk2+R/UUjfy90dkl4UjPe5NLyYwOqqDRe1D7qg7V8dRytuo4LxFAAIHjKlAq5KrTReWBNmA0CzC254Id6nGO3n2bnQpt/y5+748UG5qY0c55MQFjl119cUv5olJKJ11U9nhcAXkuBBBAAAEEEEAAAQQQQKARBBQV2sBQUaFq6jRnREV3ujE1Pu8ZdimfVOmjTlPDb7Gw0QiP02j3MDZofK7mt0xvUbGicl11l1fdrfqjdbIyyarjvEQAAQSOq0Bh0bcZMPpOlldfVCpo5j6b8kUTMIa6shdfVvli/F9/wY0Zo/fevvzKn2bHXqjMkt4aMDpjo01Q6QSMhcTEcQXkuRBAAAEEEEAAAQQQQACBRhZQ8KiwS2NKdrrJYnHDpmdKF7Vg406ntfhxtTwrS9yOcPF8RH3TpZJZktH9j61sJGB0QdhBAIFjL6CmZmfdRUWLJl1M9z+aGfqaGcvizI+uBIydyhjzzsBoTZFeeulzsft/yk0atTDj6r//Q3byNdsibYoe1VhtA0YnXTT90QUzb4v/IIAAAggggAACCCCAAAIIHL6ArU5UH/T2r3bTRQVoVeV5209u5SMaDK2cdruAnfziXZhR56gVXScvL2S2n88RBBBA4PgJaF3EqvLFxOO/rOQw/vAHU533OFFhRy7YmQt25Uy6qEUXe01b9GxfPtST6X908flPb7ZO3/mO5FMfT/3gjqyCyq0Boz54/Oh4IgQQQAABBBBAAAEEEECgWQSSMdOxO30xWnXD6qEeGzK5mdLFfK5Q9S4vvQIzE2Y29PYMVt3oOq5pL+7JOkc1jSoHZciLa8IOAggcb4FCfGxLwDj95sLzv2Mzw9UfnLALMK6NfSerpRTD3blwb86miwoYI31O0tirLDHVfkKjpSN33mJrGvVxXcTpjDazXbQVV0LHm5GnQwABBBBAAAEEEEAAAQQaWeBa6dpQj78qH9sovqV5Ljqokce5NdLFPX7A1EpWVrMzC9vPUzyrzR7X0peKFnWm1sPcfiZHEEAAgWMpYEZFT7/pbZE2weDkGypEzE2fcgLGzsSTH4ve9a7kN3873fuwaZR2M0bFjGbIi7OFetQivXzy7xOP/KJixsQTv2JapNVn7QSMpSL/X9Wx/OfDQyGAAAIIIIAAAggggEDTCJSHIPvKQ5DddHGw25e9st40j3GkN6pO84HO6fRq9QpgGi2tRPFKJp+YXxl2glwVi1K+eKS/FV+OAAKHJ1BMJ5x00RswOjNZlDraBRgDmh/dFn/sI+5yi7H73rP03c+tjXzddEk7AaNqGs2m+saQti5NhNG7maEnTXTpLMC4Hh05vEfimxBAAAEEEEAAAQQQQAABBGoJKFFUOKZNiy5q9rEdLT3Y5VMsVut0jtUQ0EKLmvMy0OmbDy95Z23bMTpqi1bMqI3ZLjXsOIQAAsdXoNIfrYDRZoxqZ9bwaKWL2trMOopm9UUz3mVt/MWl7/9Z7Ks/5yaN8Yc+sPzGX69dfFkVjKZ12gaM9nwz5EUTqFXBaOLKjdT88SXkyRBAAAEEEEAAAQQQQACBphGY9ScVf6nJd3zYdEYrbMykq4vxmuZhjuhGl5JpZYw2SFTXue2Y1ghpYer41Hh0e33jEd0pX4sAAggchoDalivli56AccYGjGeddLG9PN7FlCb25MI9udk+DZhefPF/RO+93U0ak098dPXMF7NqhTanKZDsyPnbN0dIB9rojz6Mn5PvQAABBBBAAAEEEEAAAQT2EtDygG441q9W3xXSxb3Iar2vqS4hf1ILVypmVMZoT1lKZsRb63SOIYAAAsdZQIWFnoDxpFmG0Sk4NOWLql00mzM/Wl3PWncx5MyPNiOknc7oUFf6hw8sPPepyIl3lpPGE7cuPPupVNd95d5qFUDqOjOnVCR5nBF5NgQQQAABBBBAAAEEEECgeQQ06sXOH1Ezr7p6m+fGG/ROtcqit1G6Qe+S20IAAQQOUiAf6d8SMPoUMKpF2q6+eDYXVPliRz6oaLErH+7KzZzOh5Ux2snRdvVF81cp4uqZLyWe+Khb0Bi9/725gMog2/QRMz86XV5A+CAfhWsjgAACCCCAAAIIIIAAAgjsIXDt2o8nx+ZVdKcixuWFzB5n8zYCCCCAAAJ7CZQKuS3poilfdBdgdPqjA+35YOfaua8nH/9o9O7blB/GHvy5hed/J9V5Tz7QYce7aIS06Zs2W/faxe8tv/aX8Qffl3zuN031o5kffUb55F43wvsIIIAAAggggAACCCCAAAIHLqBaO801tisHLl5O7/R9KnFk5stOOBxHAAEEEKgSKK6EtgSMJl08ZWoOTX+0AsZ2pYiZvkeid72rXJp45y2bNYr33Lbwwu9nBh53ahp7zfKM2oKaH20WYMwqq7T90b7ThcSlqu/lJQIIIIAAAggggAACCCCAwOEL+C/FbLqYjKdqfvvGRkmTkbWioOZKa2RJzXM4iAACCCCAgFcgr1EsZnK0HR5dXb6YNwFju+ZER+54+/IrX9DyjPmQqhmfW37z7+IPf9BNGmP3//TSy59fO/e8Fml0xrvYCS9affGs7Y8u5Xf8v4t5b4Z9BBBAAAEEEEAAAQQQQACBgxMITMZtupiIrm7/lqv5YsiX1BBke87YYDi3Vth+GkcQQAABBBDwCij3q6SLTsC4pXyxzaSLwfZU2x0KEhdf+IxTpqjVF3vUEG23tdFvLb30J0oX3aRRqePym3+7duEllT6W50f7z+RDvd4vZR8BBBBAAAEEEEAAAQQQQODwBYK+hE0O43MrVd+ubmhVNm7Ole6Y1nBkRiFXKfESAQQQQKCmgDqXtwWMTnO0Kg8DbUoXVd+48M3fUvli9tIr+XB3XsOjy1slZjQDX7oyP3p04flP2xUaTdh45y2Z/kfLAePMaXVh1/x2DiKAAAIIIIAAAggggAACCByagB3sovZn7zemVrIT5yM2eNTfoW7/xfOR8aHwYLdPL6cvxNQx7T2f/ZsU0OKW2m7yInwcAQQQaCiBLf3Rdnh0efVFW77YoYboxGO/FLvvvU666JQvzumvjRmdlyZg1NZtZkz7T6fa70o+9cnYfT+V8zlBpf76TmuOTEM9NTeDAAIIIIAAAggggAACCLSgQHo1NxdYsA+uUS+a8KIg0UaLA50+1Td6p7po9cVIaFE1jYoldXILcu3XI28U34rPr8xMxC+OzA73BgQu1bGhcHAqoWUwr14t7tcXcR0EEEDgSASK6cSe5YuKDRNPfizx6IdNiqho0TZHm4xRm2LGnnxI0aKTLgY7TVypzmhtZrzLWWd+9On1yI+O5On4UgQQQAABBBBAAAEEEEAAge0CSg6Vd430zdhocajbpyCxWNzYfqaOKAHTaWqXrvmue1CLN06NR1X0qE07eum+1co76jEXnWblWOqaf/s7p+cCiwzTaeV/Jzw7As0uUIiPVQLGkyYSNAswlodHO6svmvJFBYxLr/5F5K5bzXiXytKLZscEjLZwcXvAqNkuzngX3xldcyM13+xQ3D8CCCCAAAIIIIAAAgggcDwEMumcm3cpY9Sol1Jpjw5oBYZKxnJr6zsJKE60/dRugKaXLZ4xquRT83TcNS1FraTxciyVXsmqZFGYS8mMct0Lw7MWTTs7Zbw7sXMcAQQQaASBUrGQ85/ZDBg3+6M3V180Xc/hbq2+GL3nJ5Ze+twOAWOXk0Oa8kWt2aiVG3OBs+bK2kx/9Cl9USM8L/eAAAIIIIAAAggggAACCCCgBRWV/inOUsBVp8ZSMq0QLDpbPRfG/bhd2tFNF+2ODrontNqOyhFdkwsjhnqXHvPL0VUb+Y4OhPYMe1tNkudFAIHGF1BhYSVddOdHl8sXy+NdnPJFM8Bl+KmFFz+j0S1L3/7suiJHW8e4WcHoBIxOuqi6RxMwqjla6aLWcvSdKsTHG5+CO0QAAQQQQAABBBBAAAEEWkfgemsLdb4yQ01+2YlooFYLsGLMnc4/3seVJU6Mzkmsv2NKq1zW87DqpLaljCHfHq3o9VyNcxBAAIHDFFiPDu8QMG6Od8mOfzf+yIfMVOjKFn/gP66e+ieTQNr+aDvbRVHkZvliJWB0yhe1zONhPhTfhQACCCCAAAIIIIAAAgggsL8CqeWsCRhHZne6bM2AUQd3Ov94H7cd5cpX1Q1d/5Oqb1rzu+W8Syt6/VfjTAQQQOBwBDTWeWu66CzAaOZHe/qjg+2Jxz+iaDF67+2Jxz4cf+j9bswYvetdC9/47XTvQ+qJNm3UWwJGt3zxtHLIw3mc7d+ykZpdV/g5/YY27ejl9nM4ggACCCCAAAIIIIAAAgggsLuA6vFst69GHu90ptsOrHzM3VqzRVqhogS09GL2Sn4nrp2Oa/KOPksR404+HEcAgQYUKK6EtgaMlfEubsAY6lx+7S+VKC48/3taU1Ft0euzvZrzsnr6nxU2uklj7L53L33vj9aGnjJJo7c/2ilfLCQmjuDZ3yoqUcxdeqVq08Efv8UgsyP4QfhKBBBAAAEEEEAAAQQQaFKB0kZpZiKu1Gugc/pKZsfETD3UVUWMenm9jdhNSlR12zZrFVrV8XpeanlMJZNaj7GekzkHAQQQaASB9XBP7YBRWWKg3fY7a7BL7IGfyfvb7KKLChi12X21Ti+/+mexr/6smzTGH3zf8qt/vjb2QnkBRjveJV/XchP7C1IzXbRho8kY+Q8CCCCAAAIIIIAAAggggMBeAipc1IDpoR7TtKstGU/t/gnFicrWlCtq005rpotCs2Ojb7jNWQtdSltLMu6uzbsIIIBAIwhs7Y+unvBiA8a1kecUHi5994/NWotOrugNGMsLMIa6MoNPLL74mei9P2mTxuTTn6yMdzmt1unDf1i1QlcVLla9pFf68H8UvhEBBBBAAAEEEEAAAQSaSKBY3IiEFt1ocXwonEnnmuj+j/BWr6Tzigd3mYaz570FJk29aHoV8D2pOAEBBI5eoJC4tKV8cdpZgFE1hxr9rOktTgVjZuhrygzVEO0GjDZmNH/netyAsbz6ov9MuvOehWd+PdV+t7mI7Y9e9B/+o+5SvkgR4+H/HHwjAggggAACCCCAAAIINJGAyg5D/qS6oZVxaRsbDNU5BLmJnvFAb3VleU1uuyxWuee3z80s6Aqw7wnFCQgg0AgC6oDeEjD6qgLGjnywM3vp1cgdb9fA6HzYtkX35We1edLFGvOjNd7FmfBi+6MLR/B/c8lNvV5Vslj1UjNfGuEn4B4QQAABBBBAAAEEEEAAgcYRyGby/ksx296rgGtidE5ZWePcXrPcyfKSCRhnZxZu+IbtEo6p6xk/fcPfxQcRQACBmxHYyC550kXbH20DxjPlEdKBDlOXGO5KPvWJxOO/bOoVK0svmh3ljWqadtNFOz/ajncJbM6P1jk3c5M3/Nk9A0adcMMX54MIIIAAAggggAACCCCAwDETSK9mFScqFrObYkaFjcfsGQ/tcbT0ohinxqM3/I3DzqKXxeJbN3wFPogAAggcjkAhPlYdME47I6R96o8+m9Mw6GBHZuDx1Jn/kxl+Knr3batn/48TMNoKxj5Pf3R3uT+61vzojdT84TxO1bfQIl0FwksEEEAAAQQQQAABBBBAYBcBTXJRJqa2aDVH7zKZRSOktRJjPlfQCo27XK3F3zJDXjqnh3sDN+ZwOZbSb3HDH7+xL+VTCCCAwI0JmDUSp1W46G4ncwoYZ7QA41ktwJhTLWKwc+G53zRDW+66NXrv7dpZfuOv1TRdbpG21YzlCsYuO2/a+aBTvlhZgLFULNzY7d3kpxjycpOAfBwBBBBAAAEEEEAAAQRaSkCZ2Hx4aafYcGVxzT8Rcwe+2CrH6QsxJY0tpVT/w6p8UUpLyXT9H7FnFgsbQ91mZnd8fuV6P8v5CCCAwCELFNMJT7To9EebCS/OeBcbMAbbc6FOTXhZfPEPbLpox0PH7nvv6ul/UQ652SKtjFGpY7BDQ2FMwGhXX1RQ6Tu9Hh055Ofyft0uRYx6y3sm+wgggAACCCCAAAIIIIAAAjUFVM1o1wO0oeLoQOjCyOzFkYgNwbRaIzlYTTeVekpMXEpua55Q86A+NdI3ow+ODYWv64M1r8ZBBBBA4KAF1qPDnoBRtYvueBeVL5r+6JzmvwS7cgoPtdBiqCP9wwdMNeOJd9qYUTWNC899SgdNrhjqsi3SpujRDRid8S6KMQ/6QXa7/lvFmhmjSRffKu72Qd5DAAEEEEAAAQQQQAABBBD48Y+XkpmBTp/yLsWJ0dklb73itdK1ZDylpQKVMWZWj2CyZ+P/PnZNy5AvWWdUuFF8y07uHur2sQBm4/++3CECCKht2ZMubh3vEtACjOqP7siFtJUDxvVw77qZHN2nrurUmS8ln/jVcsx4x9tU3KgSx8zg40oaTSxpAsYzps9aAWOgrRGo1SttYkYNlZ56XTt62Qh3xT0ggAACCCCAAAIIIIAAAg0uoIzLjpOemYjvNG1EFXfKxFR0p3CswR/n8G9PgDYwnDgf2an3vOquzvUHp8bm1SVddZyXCCCAQAMKaPCKJ2BU7WKlfLG8AKMtX+w0pYm2gtFZblEZ43qkzyaNaxOvaD3G+EPvd5PG2AM/u/T9L6xdfNm0SDvli4X4eAM+O7eEAAIIIIAAAggggAACCCCwp8DGRklDRlS7GJjaozEtPrei0/R3z2u24AnKGC2jZr6o01yTdFLLWS1oqdLQmhoaP13zOAcRQACBBhRYD/dUAkZPc7RJF235ouZHd+Z8p5a//2fJpz6RePQXF77131NtX8xOvaEiRhMzOptdg3Ft+Jml7/1R7L53m6TxzlvWLnzPXERzqH2nNrJLDfjs3BICCCCAAAIIIIAAAggggEBNgfRq1j2u6SSKDS8Mz+65gqAWadSZqrtzP8uOV0A+YhRR1abiT+9pNff1WWWSarKu+S4HEUAAgSMUKBVylXTR2xy9Od4lH+jIjr0Y/7cPuNWJ5Z07b0k89fHV9hNaazGvmsawth4t0mg6qYNtqR8+sPzaX5r1G5350VqV8Qifka9GAAEEEEAAAQQQQAABBBCoX0CLBAYm4+rndTudg76EArHLsVQ9Fxns8l08P1vPmS17jpavnA8vjg+FRweC+qvIcfFy7QHTSnTTK9nZmQUNiHEzycJV5gi07L8dHhyBBhUoLPoqAaOnfFGpoDM8WpOg88H25FOfVKiYfOKjqe6vpPufWD75D+bIiVts0hi9610L3/iddO9DShFzIRswugswnrULMBYSEw36/NwWAggggAACCCCAAAIIIIDAVgEFicqylBPm1gr2HVt0pwq6rSfWeKVAbLDb578Uq/Eeh+oWuHq1eDm6OjU+r1/BzRUV+drG6tJGqe4rcSICCCBwGAJmGsu0ahdt+eIp9TKbJRNNc7TmR7cpXUz3P6IgMfHkx9QobUZIOwsw6m/Wd3L19D8nHvtwuaDxjrfF7nvP4vf+KDP8dE4t1Zrw4teEF1vBeEp1kofxMHwHAggggAACCCCAAAIIIIDATQtcHDE9vMtLa+6V7ATkepYE1Kf0WbVUu59lp04BFY6mV3MqVhwb3CxWFKZqF2f9ydRKtlS6VuelOA0BBBA4TIFSPl1JF92A0dMcHVT5Ysfii59RhJgZfsaki2brdTNG+zI7/u3lV/9cU13cpDH+4PsyQ0+X00X/mXyo9zAfiu9CAAEEEEAAAQQQQAABBBC4GQFNi9YsEu8V5gILSrqS8T1apK+Vrl0YmR0bCqvhV52/Gl/ivQj7NQU0JFqw0xdiqvwUsrsN9/jj8ytqpq75KQ4igAACjSNQSFyqBIye4dFO+aLTHN2hrufE4x+J3nt7eX60DRjNcotmxUVn6UWbOnZrxnRm8InFF/4geu9PRk7cmp18rVK+eLq4EmqcR+ZOEEAAAQQQQAABBBBAAAEEdhdQ0qV40HuOahcVfF08H1GVnfe4d19vTY1HdVp/RzklUz+v9wT2vQJX0vlIaFFhrJsoamekb0bI/omYikg1aVr90TpnZ3Lv9dhHAAEEjkzAtEJv6Y+uLl9UwJh8/KPxRz5k4sS5Sn+0dtyMMdTtZI8mYDRrMKrh2n82PfiE6bA2w6NPaysV+T+4HNlPzBcjgAACCCCAAAIIIIAAAtcrcK4/ONTjr/qUSuyUgKmUseq4fZm9kvcOR1ZQFp9boaV3u1Wx+JYWqBzq9ru5olZWnDgf2V6sqMBWA6N12sxEfPt1OIIAAgg0iEAxnaiki1v7owNn3fJFxYaL3/7D2P0/lQ91bHZGm5nRbuGiokUnXdQKjUoXA+1ms6svOgHjenSkQZ6X20AAAQQQQAABBBBAAAEEEKhHQCv+Kde6ksl7T1Ynr0Ye67jKFLVUoH1LEeLyQkYJmLqqbWJm+6N3KXT0XrMF9yUz4MxtUQYbnEpoycrdY1gNmxasBkm3oBWPjAACTSFQiI9VAsZKf/SMHe9iZrsoLVRFoqoTtfpi5I63p35wx5aA0RQxarOFi6pd7DIjYMoBo53togpGlS+e2khREt8U/xy4SQQQQAABBBBAAAEEEGh6AcVQiq1s0KedG06lMqs5EyRua3DW8GJlYqq4s1/hhor25eTofGqZHGzvf0VamrKecTn2QgoktRijakp3zyH3/lbOQAABBA5AQG3LlXRxa/mi5j47w6NNuqjYUBFiuGfppc9F7ro13XnPemWEtKeC0XRGmzRSmaQpX2wzzdHqvFZWqYAx0EZ/9AH8elwSAQQQQAABBBBAAAEEEKgh4KaLbsZY46T6Dk1fNKsp1pzqsrFRmg8vuemidlTBmL2yXt+FOeu6BTRXWr9FJl2uGr3uz/MBBBBA4MAEVFhYO2D09EcrIVz8zh9FTrzLHQ+98I3fXht9vmq2S3XAqIhSAaNTvliIjx/YE3BhBBBAAAEEEEAAAQQQQACBLQI2V/T+3fL29bwoFje0DKPCQw0ZcWvnNNE4Ors0OhCyX6FSRjVTF64Wr+fCnHvdAon5VYEvJdPX/Uk+gAACCBywQD7SXwkYK/3RigTd8kXTH9218MLvu9Gidyf5xEdTZ76Y8500JY7ObBdbwbhZvlgJGLXM4wE/B5dHAAEEEEAAAQQQQAABBBAoC3ijRbt/MzTq5LXd0AOdPoWN2tzra19rA24U36q6fjZTnow83BtQOaW2oC+hWLLqNF5el4DG5Ug+OrtyXZ/iZAQQQOCgBUqFXCVddPujT5myQzdgDHWmu+5XqBh/5Bczw0+r/Tk39YZapBee+1TkxDvLYeNdty48+xvprvvy/rMmYLT90Zvli6eVPR70g3B9BBBAAAEEEEAAAQQQQAABV8BOD3FjQOV77ls3tnP1alEjj90LDnb71A2tqS7XSteqLqiJMONDYffMqp2ZSeYgV4HV+1JrMGoBRnkq7633M5yHAAIIHIpAcSW0LWC0413sAoxmvEvsgZ+J3n1b9tKrdraLVl+0CzBqccXU6S+qiNGtaYze+5OLL34m0/+YqWDcDBhPFRITh/I0fAkCCCCAAAIIIIAAAggggIAR2K8hL1WayrjUMa1WaO1UvaWXaqBWmaKbKKqB+ko6r4Pa9JHE/MpIb0DvqtV6+2c5sruA2CdG56Q32OXbHuru/lneRQABBA5aYD3cs1PAqEJElSOuXfiu8sPFFz5jhrk4g13cgLGyAGP32sXvLb/2l/GH3u8mjQvP/LpTBllegLGUZ4GIg/4luT4CCCCAAAIIIIAAAgggcMQCGjatBExt1OrhvTAyq2Ubr+a3rMpYKpVsceMNT7U+4ic89K9XkCsrlX3aFnWRUr546D8CX4gAAnsIKPfbki5Oaw3GU2Ymi1qkNT/aCRgzg08oNlw++XfegNEmjfm5HmeEdLe7+uLa0P+39J0/jH3l3TrfXMTMjz5Ff/QePwNvI4AAAggggAACCCCAAALNL2AHHGvFxXzeLLS4vLSmsDHkS1Y9mSJH1eDdfMt21WWP2ctCYeNyLKX53d5Wd2W2qgg9Zk/K4yCAwDEQKCQubQkYfTUCxuz4iwoYV3/wf92AsTpdDG8GjGaFRjVHK1ecetMEjM78aHVhHwMrHgEBBBBAAAEEEEAAAQQQQGAnAY10sd272Svr7jmjA0HV3W1slNwjdke5mU7WUo1Vx1v8pYoVM+ncXGChagVLrbuoCd3ZK3C1+D8QHh+BxhVQB/SuAWNHPtip+sP4wx9ceOY38uHecrToNEqbl2qaLqeLGiHdWT0/2pQvmgpGzZFpXALuDAEEEEAAAQQQQAABBBBA4KYF5sNLygyrFldMxlI6qLeqLm9HIatCr+p4K7/UAB0VdorLbv2d01pxUVBVPeatTMSzI4BAYwoU0wlPuuiMkC63SG+OkNYCjKpgTPc+qIHRmZFnnICxLz+rzaaLNmBUBWM5Xdw2P/rUeuRHjfn43BUCCCCAAAIIIIAAAggggMB+CUyOmtUXveWLurJmkahjeqjHXzWUJD6/opMT0dX9+vZjcB1btajO8aAvqVUWtVjlMXgoHgEBBFpBoBAf2xowKmN0FmD0mQUYc4H2XLBj8dufVX904rFfit3/H6P33JYZespJF52AsVzHqHTRaZFWraPtjw6c9c6P3kjNtwImz4gAAggggAACCCCAAAIItLKABkYrM9w+Wjo6ayobL2/NEqfGTYt0bs0s1ch/rIAWV8ytbXaX786SzxVU3FhVL7r7R3gXAQQQOAiBUrFg1kicVqjobidNwKi+Zv/ZnEJCJ2BcPfVP3tnQChsXvv6ba2PfykdsEaO3S7ozH+gwnzIBox3v4vRHF/n/Mg7iB+SaCCCAAAIIIIAAAggggEADCaifV5nh9nUCN4pvqfNXqwi696oYTaOQtTyje4SdegRUBbqyvKahOcIUtTa1UVPoWA8d5yCAwMEJqLDQEy26/dGnKwFjm8oXc2p8VnViuGft3HOL3/vj2H3vUcBot8Sjv7R6+p+zvjfNIGlbwRjqNB9R6aNfW3m8SyE+fnCPwJURQAABBBBAAAEEEEAAAQQaRGCXZRVD/qTSsOWFjG61VLpmax1V2VjzzovFDRXmaWRMzXdb8KDWYFQv+eTY/EDn5gqNGi2tQTlaxJKAsQX/SfDICDSUwHp02BMwqnaxMj/a9Efb8sVOBYw5zXAJ96yH+9Zn+9bDPenehxe+8bvRu95VThpP3JJ8+r+mOr+cD5zROBgnYGz39kdrmceGempuBgEEEEAAAQQQQAABBBBA4CAEioUNDYw+1xfcHnkVrhZVsnhhZFYjkm31nQaabL8HJWmKInURpZHTF2qcsP0jx/hIaaOklSptGGvrFfVXLzVjOr2S3d6KfowpeDQEEGhYAdMfvdkZ7ZQv+ioBo+mPVvmiFmC05YvdpkZR6aLZ+tcj2n6kadGp9ruSX/svkTtvsUlj9O7bFp7/dLrvYSecbMsppdT86EBbwwpwYwgggAACCCCAAAIIIIAAAvsrYIsYZybi2+Mv/0TMTclUjFd1guoVFTm6J1w8P5taye7vvTXX1ZLxlA1aZaIdLVmpYkXltM31FNwtAggce4HiSsgTMHrKF8sLMJr+aDMY2umPLk+OjvTnIz9Suri5zfbnJl9fPfn38Yc/VC5ovONtmZFnnTUYzypgpD/62P9D4gERQAABBBBAAAEEEEAAAa+AyhSdQrugqu8yqzmVLObzZll+TZfW8aFuf2J+xZsualFBu3ijTRcVM9IcrYZoq3FheHYpmVFTuVeYfQQQQKBxBNTsvCVg9Gl4tDM/WmsnOv3RqlHM+8+s/vs/xP/1F6L33p54/JcXvvX76Z6HTDXj/IDZVMdotn4zVHquJzP6zcWXP5986hOm9LGyBmMpn26cR+ZOEEAAAQQQQAABBBBAAAEEDlpAaZgqGG0+5qZk9kuVm21slOy+MkYV6Y0NmsHT2lSkp+ZotUgf9O01/vUloxhWJmqFbvy75Q4RQKCVBUqFnCddtP3RlXTR6Y/WMOh8oH3hmd9w6xLdnei9/2HxO3+YGX42Hxk0AeOsEzCGNUu6OxfqMms2aoq0LuLXkoxdrYzMsyOAAAIIIIAAAggggAACLSuQXs1qUItaobXNTMY1t8WlUMYYnVsZ7g3YaHGox68zvSe4Z7bmjnrDJTM+HG7Nx+epEUCgiQQKiUuegFFLL7qrL9ryxbZ8sH3p+3+mUDHx6IczI0+rmnFt9Jua7eLGjNqJPfjzS6/+ZfbiS6aCcbZ36bW/WvzGb2en3jQBoxkkfbaw6G8iE24VAQQQQAABBBBAAAEEEEDgQAU0BWYusDjYXR6FrGkvqmn0tksf6Lc3y8VXFtcUMCp0bZYb5j4RQKBlBRQY1ggYzeqLChjbVLuod6P3/ETs/p/Wjl2A0Vl3sT/20M8nn/m1xe/+v7GvvNsNGxOPfWThhd+PnHhn9J7bTO2iWqRNwHhGdZItK8yDI4AAAggggAACCCCAAAIIuAK5tfXAVMKdWmKXFnTfZccrkL2SV8A46096D7KPAAIINJrARnbJky7W6o8Otq+e+iflh6v//o/5sOZH97rDo+OP/uLC139rfX5wPdK3evpfNDnajRm1o6LHfLDTCRjP5sN9jfbg3A8CCCCAAAIIIIAAAggggMAhC2jOiyYg225o/Z0am0+vUouy24+gRSyVxE6cj+x2Eu8hgAACRy1QiI/tGTAqRVRgmJs+WQkY+0wFY6g7cuIdy9//8/XI4Pr8gGLG3NQbsXv/w8Jzn1IgmWo/ocZqUxvprMG4kYoe9YPy/QgggAACCCCAAAIIIIAAAkcmkF7J2onSyhX7O6YCk/HcmhknzX/2FJgPLwlNA7j3PFMn5HMFrWmp6dv1nMw5CCCAwH4JmD7oaRUuupsz3sV3xpnM0qZ4UCFh7IGfiT/0fs1tUcC4rgrGiALG/rWhp5Q6pnu+agJGs/1IW7rjbqWO2fEX86HufKirEjC2lYr8fxz79YtxHQQQQAABBBBAAAEEEECg+QQWL6eVkg10+TQNuVDYHPJin0QDoxPzq6rTG+kNjPTNaD1GjYNRuWPzPecB3LGKGAUyPhTeKL5V8/JauFJLNQZ9iXN9QSHbTX3oNU/mIAIIILDvAsV0whMtnlSNYm66VsD4lffE/+0DTsDYqxkutkV69eTfK2DMTr5mo0VFjmab7Vej9NJ3/7gSMJoFGNdjo/t+51wQAQQQQAABBBBAAAEEEECgiQQUgiXmVzQzuuqeFTZOX9xsmnbzMbuj5Rk1C6bqIy34Uo3kmoYz1O2Pz69cyeQ1ZVssKgrVSyWx/R3TrptOm74QS8ZTO6WRLajHIyOAwEELrEeHnYDRRovOX98pU9Oo4SwBbW25YIfWUYw/8qHIXbfqzPycXYPRZIwLz/1m5MS7bDVjOV1UZeNsb+KRD5s00ilfVJe0LrKRpj/6oH9Jro8AAggggAACCCCAAAIINJ+AxkarptGGY+qbVhmeojNFkUrPlpfWVLOnt1h+0P6uhavFmcn4UGXotpso2p2xwdDszEJ6NcsY7ub7rwF3jECTC6htuVK+aKPFkzmli77TOTs/2mSM7WZES7Bj6eXPq1hx4eu/mQ91qoIx7xQrJh41QWKlfFH90Spf7NMIGB3XvGlzpsJJXSHU2eRO3D4CCCCAAAIIIIAAAggggMD+C0RnV2w4pvUY1d6rfbVRV31NcMocj4QWq4634EuFh4oQRwdCFk1/B7t8U+PzyVhqe8t5C/rwyAggcFQCG6n5zfJFn00XnYDRVjD6zQKMuUCHAsbc9GllhsoYYw+9P6tRLyZj7Ivd/97EY7/kBIzl5mhzPNwdvetdicd+2QaMKl8sJC4d1QPyvQgggAACCCCAAAIIIIAAAo0poAJFRWTq7VXVou5QJYv9ndMqw6u622ula2NOHaMWaax6q9VeuusrKmM0xYorKlZsNQOeFwEEGlFgPdxTDhg308XKAozl/mhTvqgSxFyoKzv+QuKxj8Tue49ZiTHSr4Axes9PRO+93VYzqnxRR1S+mOl/VDnk8sv/y5Qv2v7o7HIjPjz3hAACCCCAAAIIIIAAAgggcEQCauNV9Z0CxsuxlHsLqmPUkdRK1j1id9RGrePR2aWq46328nJ0VRT1B60aJ51arsZsNTSeFwEEDlqgVMhVlS8ufucPk8/8eqr9bjPqxQaMpkVaFYwmYLRDWzJDz5gyxVkz6iX5zK8pS0z98P78bL+z9aq9Ov7wL0TuvCU79oJWblR/dD7ce9APwvURQAABBBBAAAEEEEAAAQSaSyCTzikzvDgy671tBWI6uH3FxWwmr+P+SzHvyezXFFByq1Ax5E9qErfQNBSm5mkcRAABBPZLoLgS2hIwTr8Z+8q7FRhqW3rlC86QF6dFulLBmAt358I9CgyddLFX9YqrZ77onP/25Vf/PPOjx1JtX1QDtY4sPP9p0x+t3upAeyE5uV83zHUQQAABBBBAAAEEEEAAAQSOh4DKERV/aQJy1eNoRUEd15Rk7/HslXUd1GRk70H2vQLKZjWhW+OkBzrLE3MkphE5WruyVKKP2kvFPgII7LOAWpi3BIy+U2vnvrn0yp/GH3zf2sizJmD0ty2/8dc6sjb2gu2S3pox9mlOtCoebSbp/tXqi5oUo/JFU/oYaFOd5D7fN5dDAAEEEEAAAQQQQAABBBBocoGgL6kETKsIVj3HlXSNYkXlkDpZ3cFVJ7f4SyWHtljRO/ZFUNpGegPi0rKWLU7E4yOAwEELlPJpJ11803RDa9tcg9EdIX1G/c6xr7zHJofxxz68euqfclNv5FXEONejIsb1cK+dGZ3ueXDx+d9NPPZhDXxZfvPvcoEzKl80XdXBdi3PeNAPwvURQAABBBBAAAEEEEAAAQSaTmA+7FQwzlVXMOpBLgzPavKLu9KgYrTRgaBCs8LVVh/yYn9lOWjhSqdYcdrGifrrjJOOzs0sKIxVdah6z3VQ1YyqYGQQTNP9t4MbRqCJBDTZuRIwOhmjN2D0nc6ZKdImYEx13Zd87rcid91aLlA8cUvymf+a6rw7H2izMaNJGk3YqOHRvc7WnQtpcwLGQHtxdbaJTLhVBBBAAAEEEEAAAQQQQACBwxHIXqlRqWi/2k6XDvmS9uXMhJn8ojztcG6swb9FRYluqKgdRa87jZOWsOoYdQ5rVzb4b8rtIdDUAiY/nFa0aLedihjPOqNe2rNTb6ye+VLiyY9peotNGqP33Lbwwu9nBh43MaNT0GgWZtRMaq3TqIDR9kcH2+mPbup/JNw8AggggAACCCCAAAIIIHBwAlohsL9jKre2vv0rlJsNdE7rrYnROSdGC20U39p+WmseuTAyOzU2X884adU6DjsZo3dUd2ui8dQIIHAQAsV0ohItVmWMp7R8ogoXzWaLGLUSoxkn3a5NQ1uyF19efvNv4w9/0F1xMXb/Ty+9/Cdro8/nw91mM+WLXU4FY8d6fPwgbp5rIoAAAggggAACCCCAAAIIHAMBOxt6bDC0vfdZgZhbp6dpyAXWErzR39suX6ks90YvwOcQQACBHQUK8bEdAkYtxrhHxpgPdWiJxbVzX196+fNKF92kMf7wh5ZP/l324iv5YJddgHEjHd3xDngDAQQQQAABBBBAAAEEEECg5QW0ZqCCxMFus1RgeiWXSeeUOkrlWumaSu+0EqMapb21ixsbpZY3uz4ArWA5cT6iFS9ZifH64DgbAQT2EigVC9vSRW+jdKWC0ac1GLUSo2ZJm3HSmgft1DF2qI5R46dtzKikMdP/6MLzn1bHdDlpvPOW5FMfT/c+mAt36Yv2uhfeP1YCpfxqcWFyXYWs029o045e6uCxekgeBgEEEEAAAQQQQAABBPZVQCV2apR26xU1l6RYNLOPlxcyubXy/6hUrhicSqiUUaed6w9qiMm+3gIXQwABBBC4boGN1PzOAeOp3PSp3Mypzf7ocou0DRjt346cMsbNmNEUNOb9Z1Iddyef/mTkRHmRxoVv/e6PN8z/4Yn/tIhAcdmfu/TK9k1J48bKTIsg8JgIIIAAAggggAACCCBwAwL5XCE6tzJ9MapJLhrpciW95X9LqprRTpFWujjU47dppAaXXKMm7was+QgCCCCwTwLr0eFtAaMz5GVa/dHanAUYzRqMtnbRLV/USoyVOsagdioxo00aVdPobNnJV5e+/+fRu01BY7rzy/t0y1ym0QXWI/3bo0XvkcL8QKM/A/eHAAIIIIAAAggggAACjSGgnmhveKhpJooWh3v8V5zuaY1RVhSpI7Mz5THTjXHXDXEXqvmcCyzIR4suSuzi+YheriyvNcTNcRMIIHCMBDTWuXa6aKLFqtUX7XgXb+2id19jX/TSDH+x819MTaOz6Xj2wnc1bzrxxEePkRyPsqPATrWL3oBR+zptx0vwBgIIIIAAAggggAACCCDgCGhytJqgvVOPA1MJxYnetmjFj5qkrBUaa06gbk1ILV+p0dKCqrlNX4h5l7JsTSKeGgEE9lGguBLaGjA6tYvV0aKWXtTWVt42g0QnUTTli3tsGiKjgHHxW7+3j3fOpRpTQEssVgWJO71UrzTrMTbmj8hdIYAAAggggAACCCDQIAIKDAc6pxWRqQPavSVbr7i8tKUML7Oa02mBybh7WivvxOdWbK6oFSy1WOXi5bSqPdV4nlrOKpjVuBy9qxUsdaSVlXh2BBDYR4H1cI8nYNyaLs6oLdqZ6hJwu6E3axRNpWLQ1is6B8tjX7Tv9FCbl7bi0fzNXnpVLdKZnq/u451zqcYU0BiXnRLF7cd1cmM+BXeFAAIIIIAAAggggAACjSAwNW5q8Jz1FTdvJ+RP6qBCs81Dzp5yM3UBVx1swZeKEG26qG5oOx+nCsGMyPGZKtCp8WjVW7xEAAEEbkCglE970kVNjraLLjpjo020eMYJCRUVtuUD7fmgd3OWWDTrLnpjRrs8o5MrmgUbbd3jmXy4R/dWiJ2/llu5gZvkI80loFHR24PEnY7o5OZ6Ou4WAQQQQAABBBBAAAEEDk2gUNhQCDbY7atq5rVrMEZCi1V3ogUGdX7harHqeEu9TDuVnBp8s5TM7P7gEw6XOql3P413EUAAgT0FColLnoDRLV+0hYvldLESLTqJYqjTLMw4c9oOcMkHO82OjRnN0ou2fFHRYiVddGogi6vhPe+EE46NQG7q9Z3ixO3H1SV9bB6cB0EAAQQQQAABBBBAAIH9FVB/tAJDNURXXVbdvjquAdNVx8cGQzqu8ryq4y31UkO3haAMds+ntrzbGff8ICcggAACVQKKB7cEjHbpRdsZ7bRFO1WLHdmL31v41u9Fv3y71lFUp7MZ1/Loh5de/pO1kWfLSWM5Y6y0RduA0YyfPqMh1JojU/W9vDzGAtcVMOrkY0zBoyGAAAIIIIAAAggggMDNCGSvmIBRiVnVRa5d+3F/5/TQ1m5oW7nX4i3SKvWUjBCula5VodV8eWF4dqjbV/MtDiKAAAJ1ChTTiS3poumPdpujzaKLtnZx6eXPRU680+SKd90af/gXFC1G777NvLzjban2E/lQZ3bipbz/rE427dJmEMxZkyvalNJ3en1+oM774bTjIUCL9PH4HXkKBBBAAAEEEEAAAQSOXEBB4kCXb3yoRk+cLVZUD7W9yZXFNZ1ZZ+XekT/Xwd1A1qntnPUn6/wKLW4ptFJr13zWacVpCCCwk4AmO28JGH1OwFguX7TpYsfyK/9LQWLsK+9e/cGd+VBXfq4nP9urv/GH3q+Y0eSK4e6FF/574slfzU2+5mSMTsBoM0ZTwXhqI1Vdtb7T/XD8eAgw5OV4/I48BQIIIIAAAggggAACjSBgE7DtyyqqsVfJmGYi25tMzJuhyap1VCbZyv+5mi/KIeSrN2C8OGJWrWzxpvJW/gfDsyOwLwJmCMu0BrvYbVv5YrA9O/aCuqFj9/6H7NQbJlec7V03W1929HmljovPf9rkjeGexOO/rJfxB9+XV0RZXobRdEbbeshSkan3+/JzNc1FSvnVerukp17XyU3zYNwoAggggAACCCCAAAIIHLpAeiWnBEwxY9U3XxyZ1fH0SjlgLJVKyViq6pwWfFkqXRNLYLK6qbwmRT5X6O+YHh0I1XyXgwgggEA9AiosrESL2wLGgOl31uKKi9/+bLkPeq7HRovrkT5tWn1RxzM/etRWM+Z8JxOPf0RHll76vKeI0WSM69GRem6Gc46ZQHHZv32ey/YjOu2YPTiPgwACCCCAAAIIIIAAAvsuoCEvCs2is0vulW0ypoPbKxvdc1p2RwswDvcG9lyDsVjcUO+5DOdmFlrWigdHAIGbF1iPDnsCxq3zo8urL3bEHnpf9K53qUbRqV1UtNhvttne2P3v1bY+q9Sxz2SM4R4tw2gWZjxxS27qDW8Ro5Z5vPlb5QrNKKB/KtsTRe8RndCMz8U9I4AAAggggAACCCCAwCELaKHFc/1BRWET5yOXY6lIaHHQWW5x+3TpQ76xxvw6JbGyktIut6f50cohddroQPBai3eV78LEWwggsJeA2pY96aIqGNUf7WmRVsAYbNf6iqbx+d8+oPzQlC+a2kUTMGYGHjfFii9/3nnZp7ecRmmzEqMpaxx43CliPGv6rwPte90I7x9nAVPHOPW6N1Qs70+9Tu3icf7heTYEEEAAAQQQQAABBPZbQJWKdqqLMjG7aQ1G1eDt9/cch+tpQUUNhpZSyJ/ciUieOkEjpFULutMzaznHnd7iOAIIIGAFiiuhHQLGM2YGtAkYO/L+tnLAaPqjK+WLkf7FF35fx7Pnv2XzRreIcfXUP+l4qu0ON2AsXL4IeIsLaIlFzXwxc6WVNE69rh29ZN3FFv9XweMjgAACCCCAAAIIIHBjAlpxUfORVaGXqiy9eGPXOfafyq0V1CWtCFFLLGqxyonRucR89er3ywtr2x1UzKhFL5VMqrJRH9dM6u3ncAQBBBBwBdbDPdUBoyli1FgWT8AY7Ew8+p9Nljj2ohMwOhljsFOt0PGHf6GcLpqO6XKX9NKrf6GTM4NPuAFjKZ92v5EdBBBAAAEEEEAAAQQQQAABBBA4HAHVKAanEraXXFGhAsNdvlcnX46uTo1H3fP1kYHO6aUk/6N+FzbeQqDVBUqF3NZ00WmRnj6Vmzltyxdz6o8OduZDXaun/1mZ4cI3fscEjLOmPzrdeY+OrL75d5WAUcdtwNidfOaTkRPvyPtO24BRjdWtDs3zI4AAAggggAACCCCAAAIIIHB0AqpIvJLJZ9I5/a26Cy29mF7NacLL2KAZ9eJuiiJVwZhazmogddVHeIkAAgh4BQqJS1sDxsqEF62a6PRH5wIdOSdg1NqMZnSLVlx87a/sGozJZ34tcsfbc5OvV/VHZ4a+puPJpz6uxRvtkJfC0oz3S9lHAAEEEEAAAQQQQAABBBBAoBEEFLhpWEwj3Mnh34OKFZPxlObjDDiDcmyuONDp05qWifkV1l08/F+Eb0SgeQW0vqInYLTpotMfrXTRBowKCUOqYOzOh7szg0/ajHHhm/8tO/5i5M53JL/2MSdsNLWLZsKLNn+b5k2rfDF77pvlgNF/VnWSzUvEnSOAAAIIIIAAAggggAACCBw/geWFzPiwKdhT/+9OA1CO31OrWDGjYsXAwtjQlmJFmy5qnUaVLGqu9PF7cJ4IAQQOTkDrInrSxRrzozX6Od33yGrb/9WSjAoY1emcGSpnjEoXTTXjS59XiliOFsNdqz+4I/7AfzTHX/4TM3s6oArGs/nZvoN7BK6MAAIIIIAAAggggAACCCCAQP0C10rXtMbguX4zuMTdIqHF+q/QjGcWCxuL8bT/Usy7smJ/5/Tk6Hx8fkVN0JoFo9Zp7astWjFjfG6lGR+Te0YAgSMRKMTHtgWMp3I+bZUFGAPtC89/2mmL/gsTMM715MO92clXF1/8bOTELTputjtviT34vth973WPLD7/u3nfKSddbFMZZHE1fCRPx5cigAACCCCAAAIIIIAAAggg4ApsbJTmw0tDPf5Ktd7UzERc2ZryNB1UaZ975vHb8QaqI30zmvmysrhWc2VFHVTTtIi2L9V4/Fh4IgQQ2BeBnBZanFbhot3UGa3NpouVBRiDHfGHP6gUMdX7YM6pYDRN0M6WvfjS8vf/NPHk/2ObpnWOdhKP/VJm4HG1XburL+orSsXCvtwtF0EAAQQQQAABBBBAAAEEEEDgBgS0nGDIl1QrtI0WVcU3O7NQKGzYSylm1PHjvRKjnvfi+VnVJapScU/AUqk03ONXD/WeZ3ICAgggUEwnKtHiTgFju0ZIJx//FYWH2QvfdSsYyxlj2Ekawz0aML128XuaOq0dJ1rcki6ux85DjQACCCCAAAIIIIAAAggggMCRCKgMT33BqlG00aJys+jsUmmj5L2Z7JV1vasaP+/BFt9XFCmTxcvpFnfg8RFAYE+B9ejwtoDR6Y+eUX/0Ga2dqAUY84GOxRc/o4Ax3fWAFmAsb6pgNPv2rwLGbhMtmq3TBIxm3cU283Ezh/rMRiq6551wAgIIIIAAAggggAACCCCAAAL7K5BayU6cj9hcUX9HB0KamLxTG7Q9c3lhbX/voXmvpuHaQlPdY/M+AneOAAKHIKC25a3pop3wsrU/OtCWD3aujXxdAePSS//TCRXNnBcTLc715GzeaNLF7nxQtYsmXVQmadJFM4HapIt6eQjPwlcggAACCCCAAAIIIIAAAgggYAW0lKLq7sYGQ260aBddVOHiLkRaiVHna6j0Lue01Fv5XEEgWoyxpZ6ah0UAgesV2EjN7xowqgSxLdP/aOr0/85NnVz6zucid926du6bWwoXw925UHcu3JULaevMldPFdiddPGvGxPhOF+Lj13tjnI8AAggggAACCCCAAAIIIIDADQhoOomGIGuCiRstKh9Ti7TNykZ6AzuVL9rvGh8K64Pp1ewNfPXx+0gylpLG1DgB4/H7bXkiBPZTYD3cs0fAGGxbePZTql2MnLhVO7H73qNR0Rrs4gySVlu07YxWxlhJF4OqXdSmxuozOZ820229kd3t/0K0n8/DtRBAAAEEEEAAAQQQQAABBFpVYKP41lxgYbDbZ6NFrbioKcka7OJ62LHIapF2j2zfUd2jE6nNb3+r1Y6I7lxfUBrHe/BNq/2sPC8C+y5QKuS2pYu2RdqUHZqEUG3Owfb04BOLL/xB9N7bTcxotxPvXH7lC2aei+mPNksv5oLaOnMBpznaX2mOdsoX1TS973fOBRFAAAEEEEAAAQQQQAABBBCoEtjYKNl0cajbHwktFotvVZ1gVxTUMoxVx70v1VutMdMDnb5rpWve4y21L8lEdFWMShdV81kslgdttxQCD4sAAnUKFFdCtQJGd8KLqhDVIt2hrmdnZcX2dNd9pprxxDvLMeNdpqYx/cP788F2J2O0AaMd7OKsvqjyxelThcSlOu+H0xBAAAEEEEAAAQQQQAABBBC4GQE1RyfmV0ulLeOhvRe8ODKr0GxlcbcxLlNj8zpH02G8H2yF/UJhQz3RqvNUxCoBbQpjC1c3S0BbAYFnRACB6xUw01imVbJYtTkBoxnOYgPGdrOyopkNrcEuZraLWp5Tp7+YfOKjbkGjihs1Yzoz8Lhpjrbli6Y5WmWQChhPlvKMs7/eX4bzEUAAAQQQQAABBBBAAAEEDkRA0aJyM8WMu1w9MBnXOfG5lV3OOTZvqWJTC07OBRa9A3H0+BeGZ51x261bxnlsfmIeBIEDFVDuty1adPqjp0+abNANGBVCalMTtEkXneHRcz352V5taxdfXn7jr+IPvd9NGmMP/OzSK1/Q8crqiye1SOOBPgUXRwABBBBAAAEEEEAAAQQQQOC6BEYHzLqCGvuy06dsBaMWY9zphGNwvKhixXhq+kLMXbJSJlq1cmJ0TiWg+XzhGDwjj4AAAocgoM7l2gGjzwkYVYLoP5sZ+lpm6GmzuKKZ4aJR0U7AGO7Nb9m614afWfzeH8Xue7dJGu+8Ze3Ct92AUV3Yh/AsfAUCCCCAAAIIIIAAAggggAACdQpoZInCNE2Lrnl+bm1dOZtJINM7JpA1P9hcBzUYWs9ot3P9waAvodrOXVrLm+vpuFsEEDg0AVOjWN0cfVIdzXbus0kIA2eTT39CmWH8oQ8sv/HX2YsvV1UwmjrGcG9OTdNhZ4p0oC3V88Dya39leqtnnDExvpOaI3NoT8QXIYAAAggggAACCCCAAAIIILCngJqCx4bCytY0CKbqZM1Ntm9dPD9b9dYxe6nyxYnzkejcSj5HseIx+215HAQOT6CYTmxLF53+aFO+6KzBaLqkzy6++AfRL7vDo9+eeOJXU21fUgO1p4JRU6R7THGjGSTdaZqpg5sjpNejI4f3SHwTAggggAACCCCAAAIIIIAAAvUJZK/kbZni1Ph8ejWnocmZ1dxcYMEON9FbxG71QXIWAgi0tEAhPrZrwOhZg9F3OtX55YVnfn3L8Oiv/7d071c1OVrporN1awSMmQWjgNHMeXFGSM+c2kjNt7QyD48AAggggAACCCCAAAIIINCoAlpi0Z2V7DYLa0cVjLk1ivoa9WfjvhBAoGEESsVC7XRxsz/aDRg1SLpdw6bzCg+n3lg9+78Tj/+yO9LFDI/+9mczw0+ZAdNuBWOgTb3Vpv860K4vapiH5kYQQAABBBBAAAEEEEAAAQQQ2CKghujJsfmhbp9yxYFO3+TovOabqIF6y0m8QAABBBCoJaDCwtoBY7k/+rRZQbEyRTpvA8Zgp6lXdEoWsxdeWnrp89G7b3OTxthXf27p+3+WHXuhXMGojNF3phAfr/XlHEMAAQQQQAABBBBAAAEEEECgsQSKxY1SiVyxsX4U7gYBBBpcYD06vEPA6K6+qBHSZshLLtBWCRhVxKiA0bRC27bo7PQbC8//nskYT7yjnDSeeEd28g19xLRI+85omccGd+D2EEAAAQQQQAABBBBAAAEEEEAAAQQQQOB6BTTWeYd00TveRQGjSRdNwBgst0irS9qpYFTAWM4YlTQuvfy/FDCmOu9ZevUvFr/9h/mA1mB0AsZg+/XeGOcjgAACCCCAAAIIIIAAAggggAACCCCAQOMLFFdCuwaMlf7ozfJFN2C0LdI2YLQZo9nXaOn4Q//JZI9qoy4HjGcKycnGp+AOEUAAAQQQQAABBBBAAAEEEMheWU/GU8sLGY2Tvnq1CAgCCCCAwJ4C6+GeHQLGWv3RtnzRGfLitEhrbLQNGO3waP3tTvc8oBbptZGnzSwYjZA2FYxnSvn0nnfCCQgggAACCCCAAAIIIIAAAggclUBubX1mMj7c4/eOkO7vmA5MJYgZj+pH4XsRQKApBJT7bU0XT+Y0OXr6lNl8p53NaY72m+bozf7oHQNGEzZmx19UwLja9iU3YFTrdFNocJMIIIAAAggggAACCCCAAAItKKAx0ZHQYn/HlI0WR/pmpi/EtGmi9GCXmSjd3zm9vLTWgjJVj1zaKF3J5JcX1i7HUqrzZL52lQ8vEWhZgULiUiVgtNGi1l3U5kSL5bHRZ9M9Dy6+9PnMuecq41209KLdardIp3/0qAkYT/+LWa3RVDCeLa7OtqwwD44AAggggAACCCCAAAIIINDIAhoYPTYYstFi0JdUHaP3bjc2StG5lYHOaSWNhRZul15ZXLswMuut7dS+WBTDFgsbXjH2EUCgBQVUZOgEjE666LM90bZ20RYumsEuyWc/ZadCxx/+0PKbf5e9+Eq5OdpMkXZbpG2jtIZKdy2/8dc6P/OjRxUwOnWPZzVHpgVteWQEEEAAAQQQQAABBBBAAIHGF1CZorKyc/3BzOqO/9N1KZnWOUrYWrBmL5POjQ6UA9iBTp/C2OmLUW06aGs+h3sD6ZVs4//Q3CECCByQwEZ2aVu66K1ddNqig+3pvkcWvvG70btvszFj5M5bkl/7eOoHd2plxXzIJIqVZRjNfs53Knrv7dF7fzLvO2UXYFyPDh3Q/XNZBBBAAAEEEEAAAQQQQAABBG5GIDq7pORwqMe/Z3Vi0JfQmUvJzM18XdN9VmNuVKaoB1fbeGJ+pVS65n0EdUwHpwyLtqrKT+9p7COAwPEWKMTHnBUX1RNdmecyc1qxYc5/NmcWXWzPmRLEjlyw02wzp1PtJ5JPfUIBo00aFTkufuN3Mj0P5f1tNmnMXno18eSv6t3VN//eLV/cSEePNyNPhwACCCCAAAIIIIAAAggg0KQCihYVju1Su+g+l87RmeoIdo8c+x3VLtp0MTAZ36V0U93Tkpkamz/2IDwgAgjUFDBZoka6uOmiiRaddDGgzmgnXVQDtaLFkLYuu6lGMTv1+uq//2PikQ+XCxrveFvkxC3xhz8Y/7f/FDlxqw7GH3p/XsWN5fnRZ0vFQs1v5yACCCCAAAIIIIAAAggggAACRyhwNV9UMjY+HK7nHlS8p5PVF1zPycfjHGWGeuTZmeSej2PPrCen3fNSnIAAAs0lsJGa95QvnlaBYiVddKZFBzq0PGN2/AVVLZq00Cy32J3TFlYfdHm5Rb27/MoX4g99YDNpvONtC89+Kjf5uh05rUrI9dhoc7FwtwgggAACCCCAAAIIIIAAAi0isHjZrKw4H16s53lVwqdyPnUK13PyMTinUNjo75ge6Q1UtUXXfDT1R0sy5N87iqz5cQ4igEDzCqxHh53yRVvBWGmL1vzoQLuixXywS9vSdz+n8DDT969uqJgP95iM0RMzmnUXp05meh7M9D+yduG7ebVUV2oXlVgW05ebl4g7RwABBBBAAAEEEEAAAQQQOMYCieiqYjH9recZ0yumRdp/qVVapBPzBic+t1IPjmZttxROPSacg0ArCKht2RnvYgdGa7CLCRgzw09rPsvii/8jM/RkPtSZD3bG7nuvNlO+GO6pbEoXTca4GTM6xY06WVvOtFRrazNLOKrbOtjeCpg8IwIIIIAAAggggAACCCCAQDMKpFayisUCU4l6bn5mMq6T60wj67lgg59j01etr1jnfQpnYnSuzpM5DQEEjodAcSXk9Ec7AaOao82ii23Lr/6l2+wc++rPLXzr03q59NLn83NKF3udgFF/TcDoVDCWY0ZnbUa7TqOTLnrKFwuXx48HV82nUEirMdzuVsqna57GQQQQQAABBBBAAAEEEEAAgcYUuFa6NtDlGx0I7jLBxN65baZWi7SWbWzMZ9n3u9K8bGWGS8m6/qduPlcgYNz3n4ALItD4AuuqQrTjXTanurSp+DAz9LXFb3829pV3u0lj/OEPrZ7637mpU/nZPidmVMZow0bTKF0Z/uLWLmrqtDYNoT6jqshjmbnpoQrJCXWROyWg/z977+He1nme//8tsR0naZrpJk2bZrdZjZM4o03iJE37yzfLGW4aJ2lWbUm2bFmyE8uyVNuS3MiSYmtakkmK5jKXOCyRojjAAYIkhgACxBCGCZCif/fzvgeHB4MgKXFg3LnOxQIHBwfv+wHiXvn4fp7nbNZfgIW8nU/Gi/83wBWSAAmQAAmQAAmQAAmQAAmQAAlMjPpgxgrPMQn4o20NQ7gMmrFyiIVVvNPpWFGJNMZMg8/VlRWbVw5D7pQEypsA9Fe6+6Ie7FKjZrLU6WnRkk4cawg1PWI6Rnmw9Vbv/s+HGh6R9owINNr1gYEvmC4t8cVo34uhV3eoMTEojhbBiLaNZYYRYcXEZFumUTyngqDm30XfmHT3UDOW2Q+A2yEBEiABEiABEiABEiABEig/AsguXu5yQI6hIjg3x4jCNTRdxKs4siqpU6m58qNh3RHinV0to53Nw/Nz89bzuY+hItvqBxHvRCfG3Fd5hgRIoFwJJKdtRnwRI12MBGOd6p0IVaiHRDeH6h+EVwycvCf4ygOefZ+ZfOAW7Rud29/qO3x3uH1vYlzmSkt7xrHG+FhD4OwvcEGwbpuKL4pgTHr6ywYgqqHVTJxFf5jpFU3BqB+kL5MZNytq5VE2oLgREiABEiABEiABEiABEiABEig5Aqh6RqE0FCJ82qR9+qorNO0OI7nX1+3AGGWchzrLar2IzoQYJ72S8colR8O6YK8rhO2P2Qr9D1vUUIMPLgM663v5mARIoOwJyDQWXR+tBaM0YIRgRJlzQxzaULostnif+RykYmzgpcRkK4qjYwOnAud+4X7ig1oz4q/r0ff4j38/euk5EYzD592Pf2By2+2xobPxUSmOjtuqyya/h5rozIJoZRFtevo2mlhaD5w0ZaOhGRFlLPtfFDdIAiRAAiRAAiRAAiRAAiRAAiVNAC0Eh/qcsGRZB4J5g73OrL6LM4GoVmoBX6Skd73s4hHpfK1tDEz6Lk4CUdb1GKs90DOliaHSPOtVPiUBEihvAtBlyi5qPybzoz17Pzl95Fvhjn2qoaIeD90catjuP/FD6buYeUQvHcLYF4yWNk2jc/vbXI+8E0+nj35HF0fjnhgEUx4YBRdCnhCnxpFrF8FQH6ZppGMsjy+fuyABEiABEiABEiABEiABEqgsAtciCcTwENgb6XePDXrgD3NrflU5sAT2UDqdW1JdfrySr6cud0sJOQ7IxsHeKbRbRLazq3lYn+xotDkd/vLbOHdEAiRQmAACdVbBGOneb6pC12Pv85/6caz3qMyJVl5x1tGqD4tmVENe7I2Rtt2+Q1+DXdRvR4Ixevm4uDjMpLZVp2bGCy+jJF5FZXQ+u6hFYtorYr/mYTWNyIjKwRxjSXzVXCQJkAAJkAAJkAAJkAAJkAAJLE8gHIzp7CIM5PJXl8sV8KgIKHY2GUZRe0X8RUX5lMM/l7pu3SgMLdSr9QwfkwAJlCUBZcxUJa/U9oocC1/YM33k29bJ0Z49Hw9W/yY+pCZHa8c43jo7rtOMeoR0s1RSowfjaG24c1+49Y+xwZfS8UWYtyqouTKgl2eki1EZreyitK9EMfi5wLn74oNn5HHarxp105mOcS40VQZMuAUSIAESIAESIAESIAESIAESqEwC18IJpPUg1kYGKsguWr9rVEljjjZ6VCLGibLxvAHOQVU0ncq0jtab8DEJkEAZEMDMEZWpswhGacOImSwY/VwTenWn7+CXJ7e+xcg0br3Ne+ALocYdCXuDdGLEAcc4rhKMiDjam1RJNSa81EsLx1FjeDSk5ayruxxYzdjN/KEBzWxcKdCUThw+H6zfBlyepz5uTreRlyTKqIKOVsc4XFMe3rUMvlxugQRIgARIgARIgARIgARIgARWRQDV03oQDEqnV/XGSrsY03DgYJFjnBr3D1ya6myyIfrYf2kit4VjpZHhfkmgnAikRyGbglGFGMWVwRDWxe314gxt1cFX7vfs+5RlcvTbfEfuDnc8lZhAcBGOsTkuhxKMMhomLRiN8S5VZRDVyymORqWzCc0cvY3hOLXeg1+EYPQf/4EoVjlkgnaOY2ShdDn914h7IQESIAESIAESIAESIAESqCwCsIs6u2i3eStr56vZLWql/d4ImjSaNdTWB53Nw2U/dHs1tHgtCZQwAZFmGZNK0r0ERYjBldWLKhxrSNgbpfZ5vDl3crR75x3+4z+M9hxWghHZRRxaMOr44nlJ7o3WlTCj9NKT07Y0K8t4l3RRufhDGb0tRtH71CcgGGOvYZp2XUInObMdo6UZI0OMacL8vyRAAiRAAiRAAiRAAiRAAiRQEgTi0VndftAxwkHJeb6x2LUEOjFi7Etbvcy+MQ+0qYRvTCXn4BUR+8R598RMnvfzFAmQQKkRQLDQIs0seTybqctEMOpZ0tJiEXlFRwsOmRx9/PuuRxcnR7t3f8h/9r5o3ykVX6xXFdYquWerTrp7Sw1M9nrnk3ELKC0YlSQUwahkLCrKxS7WJcbqPXsR9XxT7PKLeLwSx1gG8c5sXnxOAiRAAiRAAiRAAiRAAiRAAmVKIB5NInoHOYYpJ2W6xRvZFoZrY8T26KCnu2XUNIp4gHnTqIzGkBc8RstK89a4HhHQ3s5ymAZrbooPSKBiCWSOLNHGDJpRDUGWBCOOOhGGdu0YUQ1tHqIZ8TTStsd36OvOB98KpSbHllu9T38mVP+QbuGo6oKr0Oax1AmrQdtmcDEtGHV80ZSxohOR9mzwn/oJUES7D8hTfVhzjGqmtvRjTDdjnJ1sK3U+XD8JkAAJkAAJkAAJkAAJkAAJVAIBtA3sUnYRHQUrYb/L7hG61Ymw4kWEFReTihCwMIoIK8Ii6jtgBAwEYxY0tGEc7HUu+xG8gARIoMgJLJHKU1XSumcgUnljtcH6B2NQYeIYm6TLohxQi+ZsF9GM0Imh+m3eZ/4ZghFubfrIN6XCGubNVp0YayxyDssubz4RzhdfNEHpyui6mK3K8+RHg7X3Ry+/COPqP/1TNVa7UTnG+gTqzRFxlOk5OQNfhmuWXQMvIAESIAESIAESIAESIAESIAES2FwCYhdVPA9KbXNXUgyfHgnGu1tHMsKKXQ4oRHSnzF3ewsIbklfsYl4xlw3PkEDJE0hlz0TWwTwk66riSNmJCjsf6dgnucRtt3uf+0qoeZfU/OoQI2ql9WGMd1ETXsYao1dOBc7dF+l8VhKMSjAmPVdKnVRmzhOUdNRT5zxRHy2V0ehXGWx4SFg98Cb3E//gffZO5/a34UrDMaKJpTn4JsMxGs0YIXtLnRLXTwIkQAIkQAIkQAIkQAIkQAJlTOD1REr7tKy2gWgnmHw9Bas2Mx296gpNjU9j7MtQn7Pv4iTqf8t4iEkyOQe7iF6UCCtOu8Op1PXC3z4QlTGNwnvnqyRQ3gREeRkTXqzFvyiRRjZPjUUerY207Xbv+aj2ZvjreuQd03/590jX/nStNOKLOJowAkb1aVTjXcbqVH30ebGUtirE/0oa41zMn0nJbL2I3elROKqKXArJmyJdz3j3/pOJy7PnY7HB02nHiHLp9HBthBgVHLNQGp9S0pS4eBIgARIgARIgARIgARIgARIobwJDl6WL4KX2MfuwF48xwQSPO5ps1ghf7mPPVLCMseQNK5bxfrk1EiCBXAL5yn7NbJ4q/jXsGaqk66I9z/tP3uPa9T5Tnbke/1uUAEf7j+tOjGnHqOdHI84n6UfUAifsLbkfXVpnZhHRXNSwpl3UDtYojo7bYRcbUTyuvGtLuHmX+/EPaFaYgxNpe1JmcOOQ+dqAg0JpHGahtNyTgrG0fhVcLQmQAAmQAAmQAAmQAAmQQKURQEDR6g/RchCdBuEYL3c5BnqmMB8ZE6URX0SIEb0H0XIwdm0Wycb5eaMJYaXh4n5JgAQqhAAqly3ezEwwWgZJ6yppPRl5tD5hx9EY6Xx6+ui3nQ+/3TSNnqc+Ear5XXzwnBJojTJyWg80gWAcqUYVdknzzJ6yjeJoiXemE57YI4Qhcoky20XZRTVle9bROjveFKr5g2vHuzQodKeMXvozAEqIcSxLMMq0FwrGkv6dcPEkQAIkQAIkQAIkQAIkQAKVQCA8E49FEqiVNmeXVMKuuUcSIAESKEBAEnSLwTwtGLPiebr+VwZJQ4sZ05ChyJDTG6sPNz7qsZROT259s+/AF8JN2+W2OqQ3Kgm9km4tOJ9Kig9cpGSxr9gm7KK2r2IXFRbpTqmGa0MwOtowGzoxVhc49VNjxPaWW32Hvx7rOyZCUk97sVRJUzAW+K3yJRIgARIgARIgARIgARIgARIoIQIwkBgHg7/z6RnKJbR4LpUESIAEVk4gFfZYvFm++KLuwagcWkIEo3KM0Ghy6EJgyLTmcPPj6MooIb2tb9ZRPf8L35UEo5QAn591XVz5korwyuS0zULJtK+qOyUEI8rADfVaF76wB8FOoHA+9Hb3n/7e8/RnAi//MjF6XmnG1vjg2ekj35rccpsg2na7//j3Y4NndAm59LpEHnLoXBFun0vaXAJzIQdysImhMzjwAE83dz38dBIgARIgARIgARIgARIggcIEQoHY6IC7q3nYrKRuaxjCGcjGwm/kqyRAAiRQogSS7h6LOssnGCWhpx1arUUwqqjeYlpPHGOs94h753u9++8Mv/qo7+Bd0a5nTcE4F3KWKB8sG/HFzJBnZnG02MVaeNf4wEuefZ/UchVJRRSPG3nFB96EBxiIM+toURXTLehj6d3/eX0lVGSw6r/VlG0puE7Ym0sXFFe+9gSup2AU41dOZB04+cb11Np/HO9IAiRAAiRAAiRAAiRAAiRwcwTi0SRmvpheEcOmMUK6p2PcHAHjcZbzqJebg8d3kwAJlCqBPOoMrQWHkKNTrQWtDQbTGk2VSKMHo1kLjBCjmWNsCrftgTcLNTykyqhV/a8MeanBB5UqozfeyOlRqQWjji8adhEZRcyJxt49ez8ZbnlcJrw4WlElHenY53n60zjvO/SvCRRK4wC68RZMgQErz5MfwUvIMYrAVAnGpLu3dEFx5WtOIK9d1LJRHCP/QwIkQAIkQAIkQAIkQAIkUEwEMNgFA19gF9vqh/AXE17M1S3ML3imZjALpr1hiAOXNZZ4dBbEFhYWTEp8QAIkUKIE0oNLVM2vqEV9pGeXyPBo1WAwuz4adtEqGCW+qA6RjZ7dH/Y+e6fykGpK8uj55NW+EuWDZaN1ZGbCUyEy1evoeZ3qDJy5V+zi058Wswq1ONmKvovSetHRgkJplI1HB07DLoaQ7Tz0L8LK3hy3y6DtYP222OBpqZJWgrGkO1WW7rdcnCtHKXRWcDHrKWuli/OL46pIgARIgARIgARIgAQqkwD8oVaLGCENhYjH/ZcmslBgnDTcI2KNc6nrWS9V4NOJUR8oYcq2de+p1Jz1KR+TAAmUBIFZZ5chFW3m1BKVXZSx0Rl2UXoMLjZgtNZHm/FFOEYRjL7nvura9d5FwTh8PhW+WhI08i5SITIrx/EgDUojUsXRieHzrh3vcD3814AGoyh10Gqwy+xUe6j2fp1RTEy1QzB690oNdeDEDwEqbleDtlFbLW0qJcE4O3kh7xp4sjIJFIgvMsRYmT8J7poESIAESIAESIAESKBoCYRmYjq1iO6LepEDPVOwZ7Friaw1e6aCOO90+LPOV+DTSDAOFI4RL6Ti9NXwSL+7s8k22DNVgSi4ZRIoaQIqm5fWZRLJM4/quCEYUf97HiNLQnVbINYSo5gfrUZI6/ii0YBRpKIZX8Rjz95/cu1456JgHKsvXUoY6JwZX9SCUU1j0dlOJRjDLbugDadRBD3RbDRanLwAW4icp2vHu9CMEQZSiqMdbZHug5jtgiEvGCGdGINgRBU5BKNUkYM550eX7k9lPVYeH3wpK7KY9RQzX9bjc3lPEiABEiABEiABEiABEiCB1RK4rPouQh6ab4yExZ4N97vMM/pBMjmH87g+63wFPkXOE1ZWi1kw0cel9rEKRMEtk0BJE0jN2DOkopTo6iNdFj1cG+neD3WGA2NK0EUw0vJHyTHq+dEyQjr7gCiDT8OsExGMUGejtUnvQOlSghVMC0Zr/TgoaUS1anh0Q+Dsz4EoVPsHI76oiqNRHx04/TOcD778q9kplEtfUI6x1X/8BzjpP/49FFMrwYibiGCcnewoXVBc+XoQWFYw4oL1+FzekwRIgARIgARIgARIgARIYFUE5ubmYcnQXzHrXbCIOJ98PXs+Y1fLKAZMZ11cIU9RG+73qrCidcR2/RAm4zgdM+jKWCEcuE0SKCcCsxg1onsJwisu1kQrdTYK6yVH7MoJ/5n/dO/+EJyYPlw73u0/9t3oawcTEIyGY0w3YLQ3Bk7/FJdBrMlUZbnD+flEuEShpcIeZRfTalGqyFX9uJFdRLyzLj4G3doQqvm9OEPsWtdHK8GIi2Fl3bvumB1vhl1E0bT0ZnS0ILuIi8XBqh6McpNR1EfXlC6oEv1+i3/ZLJEu/u+IKyQBEiABEiABEiABEiABEEBZNNJ3IwPuLBoBXwTn7cNe63lMe2lrkDaM1pNl/xjNJ1EVDotozSvCsuqJ29bkZ9mj4AZJoMwIQGcZumxRLSJHpw+VqRM9KAJNjtH6yGvP+Y99z/Xoe7RmxF/3Ex9Eci/a96JhGu1Nwdo/TG69HQYybkM9tQhGlE6XLjeEMC0NKs368XS8U/jUI4IITxh97TkA8e7/PBSiNGBUgtF/9N9wMtzwkH5qCMbxlsRoLc6jkFzuD0rSgBFzcDg8unR/Keu1cg55WS+yvC8JkAAJkAAJkAAJkMASBDjdeAkwy5yemY5CJKKXYO51r7WNdTTarCNdMNMEF4/Z8lyc+/aSPjM/vwDFOjro6W4ZxZbN43KXY2rcr39sKVUwjn6VJb1TLp4EKplA0tMvBdGWXotSqKsyh7HBl6I9h2K9R6OXX5TegPBgxtEAJxa+8KTv+W84t78Nlkwfrkfe4dnzMXhF/RSaUdtF3DAVdJQoZDVfWw+M1sFFlV0UXNKXUkCJeq3HJGgpGB9rQFgR2490/a8e7xLvfQGNFj1PfmQ2PU4a4hHxRRhXhEJxpe/AFxcF40g1h0eX6O9kvZddIMSIl9b703l/EiABEiABEiABEiCByiEAAzZ02QUFlDXSt3II3MxO49Ek0PVfnMy9yVVnxkiXhYU3ejvHK4Ez8oqdTcOmVET9+PAVl98bQTl5FiUAaW8Ygo3MOs+nJEACJUEAWizTLiKPVxvpenb6yN3alUGC4UEMQ5O1SUPDQJT0ap823pgYrg3VP+Td/wWraXQ+/Ffhhu2mXYScLFFvNp9Kilk1B0br1pRSGY1DQKlsJ7yrAqJm3ATO3Qdi7j/9XQLdFB1t3gN3iW/s2GvEF6EZ04IxcOZevIRko1FFjviiv7Ky8SXxX5BiWeT1VF7HKHbxenYjl2JZM9dBAiRAAiRAAiRAAiRQagQgFdEVULugSft0qS2/KNZ7qd2OpGKuJVtYWIBbA168hP+MDXrAubdrHI+LYt3rswh0WdQ/J1SC4xdVOBkLBzsx6rOGPNdnUbwrCZDA2hOQ4cgZ2UWRZoFj34f4sh6+Q/+SrpLWIUbtGBsls7c43qUx2v1cuHFHtPvZ+FCVkmYojpZSa9QLr/3SN+SOyWlbujhaV0YjuKhbU+qQp8ouil1sjJtdKCeavc/8M+jBMcKy4oH32Ttz7SIqyjFXGplPmSstVeTnEYOEz9yQbfFDSpUAaqVFM2Ko9OBLeICnpboTrpsESIAESIAESIAESKDICMB6obBXu6DOJlvAHy2yBZbMcq66QsBoz1f4jHJgvATPhtJgPMCU5FRqrmQ2dkMLdYz4sNPRAXd5e9QbYsM3kUBZEUhe7bMaM3QFnD7ybVGLW2/1Hbwr0rZb9JpRBQwJpjsxGoXSKKD2/vmrscGzqvUiZKMa9YJko56JLA0bpakg7j8XcpYiNaQuBY41vmixi7CCiVH0XayHSo1eOoTtx8W1tsj0lqGz7t0fNg1t9LUD0o9RHVIcPdEMdK7H3j/5wC3W+GIqOF6KlLhmEiABEiABEiABEiABEiCBUieAwl5drgsX1H9pAt3wSn1Hm7t+7Q+nHP6sZaAoGCXAgIwDLRmzhkoXTvdl3apUnmJoCzbrdYduYMFwkpFgHJnGns7xG7vDDXwo30ICJHBjBKTqGdJM9RKEMQuc/jG0mHP7WyMXdsObySHhurRaNB4bIcZA1X/jYteOd4ZadsXHEeHThwo3YuiJlA8rwWirLtFgXtLdYwyPlpnRVTrqiXaU089/I3b5BcVHbGqo5neTW25FnTjaKmrBKBbR3jj94n9ox4gC8+kj3wo1bIewjbQ8gcfOh9+Ol1AinSZc2kNwbuy3x3eRAAmQAAmQAAmQAAmQAAkUAwEoID3PF385w3dNvhEIW1RDQ6who4goI5oQIrWImdG4OZ6igBpnrDXUaEioBe+1cGJNFlA8N4E1BYes8dmFlwe/Pe0Oo08jQOG9+hjqK8nYUuGd8lUSKBsCCBam44siA2P9x6Xp4tbbo13PYuyIRTCqToMiDNOyUQ1NDnfuUzE8KaYOnP6ZEowN0o1QBsHoKyW+OOu6WIrEJL44dNYiGI3i6OnDd4s23Hp74Pj344Nn0GgRQ23QcxJBR1Mwqi6LmOTSGml70vvM56AftWlc/Lvtdv/x7wlkQSoatkRDnqX4zXLNJEACJEACJEACJEACJEACmgBMDob2aoHT02GHFiOZtSIAthj1YvoxPECDQdwc53HoT5mfn/c4g2hOqC+DY4yE42u1gOK5T9/FSdSGL7seqEhoWDNJq5kADppVYja31ccueyteQAIksMEEoP6s8UVdHO0/9n1lFyEYlWPUBkzsIjyY+oszMu0FRwPGTyOPJ95sy62R9qfU8BeVb8Q1uFgKimtSYc8G72tNPi4x2WbYRSmRVpOjVX00+kx699+pVaHr4b/2Pvs5PA6c/cVidhHxRUdL2jGqiumB0wgr+g7f7XvuS7g++PKv4qgrH2sw7OLo+Vln55qsmTchARIgARIgARIgARIgARIggRUSQJdFnbKDyUGjPAqcFXJb1WWJeHL6ahh6DXYR1b7me9F6ETINvS61RoOKrMyZ3agZB5/hfpf5UwSQtvrBvosO98QMjbf5g+EDEihmAjIfWca7yLASmK7EcPXkttsxCVpSeaIWswQjLkMcUTlGrRlFMIpLhCjz/fkrkGyunXegH2M6vggVKeNdEHosZghLrU1m35jxxUXBqAiA1Vh95MIez5Mf1ZoRf0N126Qs2jhaE+OIL7bMqn6MchIPpHpa96hUk3HAzTC3EvKciwWWWgnPkwAJkAAJkAAJkAAJkAAJkMDaEoBL1COMIXO6W0YrU22tLdKV3w3KcczmaW9YLP7VjhHlwNCMqJVe+a1K98pYJAHperlbJt1kHaiMfj2RKt2tceUkUIEErPXRkF1oughR5jvwhQSmtMiglryCUTvDdI5RqTZMOUHAz/34B/D2wKmfpQUjKn/Px201SXdvKbJNxxfNEulq7EXLWO1UZXy2vUlPi9aa0bPnY5HOp1EWLcckHKPyjYZahF1UgnG8MTGGQ1WR60QoSsinGF8sxd8I10wCJEACJEACJEACJJBBAE5gsNfZ0WTDgQdUBBl0iukJClExXkRbnaHLLkTIiml15bwWkAdw06fpkB5UWyKRRAkwrKN+CXG+BWnWWG7/mUtdhz7FOOmullETAtp+9nU7EKB1T81g+vZIvxtRRszBQeV4ue2f+yGB8iWAGl5rfTSaKEKUBc/91xKCUSUSZRaMPsQxygxlw0M2BGv/gLej3yBOqlaN0lcQUm4+ES45hHOhqXR8UQvGdH207L3WEIzjjbHeo5i1jWnRwapfOx/+a60ZvQe+GLt8VGlGLRhl7AumS8uBMdOYg6Nin4uIRqrR7LHkEHHBJEACJEACJEACJEACJGAlAJ0Ir2hKAzzAUzpGK6IieYzZInqeC/JyKE0tklWV/TJCgRj6EOr/goA/Qnqxa7O5u0YDRt2PEfnS3FdL+gzqwfUPT0OAY4RLhG+EdczaF84Mqr6ggJb1Ep+SAAkUIQGZYGJTU0uUNMM8F4wsEcFYe/8KBKNOMNYaU2BUlXSs7zjejuHIUI5i4XDb4Rpk/Ipw78suSbZg1EdDMJ6LDxnzo1ULStV5UsUXfc9JYXikbQ90Imyq/8SPJre+RTTjltumj347NnRWQowTKruo1aK9ASdFMJrF0Uh4Xi3JhOeyDHkBCZAACZAACZAACZBARREwB4VYHSNOVhSEIt8sfC+iYvoLQmkqCnWLfMHlsTwERC+12zV2BPMwQrqweEe5ur44Hs1jIEuXCdKJ2Bd+eKiMRmhz2Y1g1AtcK4bgLHslLyABEthcAsnp4SzB6D/2/0GOhap/awjGPFXShldU/lC1bRyTboTm4XrsfbgDRlGbgjHpHdjcbd7ApyenbZl2ERNeUB9tNKs0RtuMN8bHm2NXTgfO/dKoiZay6LbY4Eu+w9+YfOAWcMA8bv+pn0K0SnE0BONYY+S1g87tbw3VbUm3spQGleiEeQOL5FtIgARIgARIgARIgARIoKgItDdmxBe1IUGIsagWWcmLQVhRf0dIkSFLtlCWJbjF+gUju4iy36nx6RVWo0+M+lDDjr/WDaGMer6Ui9mxd8y1se6o8GPUjOMfI/itFr6Mr5IACWw6AbQQzBSM9cGqX0GLefd/biWCUYbCZNpFaEbnw38Fq5YY0x5SEowlV/wrg28wKtoaX7TpEdI1qjZc6qPVpOxG0YYy0qV11tE2O4njgvrbhqfRi4fN3oyuR98Vqvmd3HOszvvMZ0E4jFnbEu8UPtC8m/5L4AJIgARIgARIgARIgARI4OYJ5BWMOHnzd+Ydbp4AalG18oW2QhHuzd8wmVyFKbr5jyv1OyRfTy3Mr66pIr4p1LDr8mGzcyPK20sdxarWDxkON7uqt/BiEiCBDSaAvogYy2Kk8mQkdB0aJ0Y6nob+mtxya2zgdB7HCJ0ol6lD1KJFMKqhMPHBl/B2z56P4iWdYIR82+B93fzH5YsvmqDOq/giEpuwiyIYUTotg6HFLmY6xklYx9ZI25PuJz4kSHFsu9216w488B78khKVNTIyhvHFm//CeAcSIAESIAESIAESIIHiIMAS6eL4HvKvwjHshWAcGXBjeHT+K1Zz1j0x09YwFPBVxLDj1YBZy2uvOoP4ytCq0dq50T7sXcvPKPp7dTUPo0q66JfJBZJARRNIuntU2S/GIuNAKk93U6zVNc6Bsz9XI5IxJTlznPSiV7RURutr7A2R1sch0HyHv24KxlTQUVqUpS/lYnZRdV8UDWtOeFEmVu03cOZezQqhzelD/xpufQKaMSEhxsUcIxwjJGSwbouerw047j/9PaqqBTjsoq0Go2RKiw9XSwIkQAIkQAIkQAIkQAJLEUBbuawQI54W7jW31K14fs0JID63JvMykMTrvzShw5CdTcPMMa75N6VviPp13bFQo0bnRihiwF+njyvO26KkGgnG9gamoIvz++GqSMAgoOY7Z3gzPRk5WP0beDCUOUc696Ydo9KMlkaLZsdFeZC2i3hg1P82PISUoyQYh8+XXHdB8a6LghGzXXRxtBqFg4pmPTV7tM733JdACYfr0ffodot47HnqHyNdB+AYE1PtSja2qd6MLRJ0HG+KdOwNNe9UqUU9XLsaePlzJAESIAESIAESIAESIIFyIgCdiBwjvCIOPKBdLKcvF3tBZBFSUSsvDODAg4FLjEys8ZeMLouog+5uGdWc8Xew15k7Z3mNP7Uob+cY8WH7ENpFuTouigRIQAikwh4Zi2xMRhZvJkON1SRoOEPfQbFn4hi7/lcKgWVccjrKaNGJVrWIx+G2J/Eu92N/azZgnHVdKi3cUja+aBd1fNEiGM1Z26fvFZ24+6PR/uNQiDFbFSa5mJrRd/Cu2OVjIhgdacE4IYIxjo6Xi8OjJb6Ib6G0+HC1JEACJEACJEACJEACJEAClUkAhdWjgx6tvLpaRjHmGGd6OmQysntqpjKZrPmuEQd1jHjNGDAGT3umZpBdxIM1/6wiv2EqOWf+3jCcqMhXy+WRQCUTUDk9xPOqVH10jf/kPVIuDf011pDAMVrr2fdJcYyYd9zw4EocY6z3iPPht+MtYTO+OHp+LuwsLciwgjmCUdVHjxjzo5HMjPUcmdz6ZnRTBDpjwosa7zJ9+JvObW9Bo0VAmNx66/TR78Rs59IJxqYE0o9aMEp3ShnvMjvVWVpwuFoSIAESIAESIAESIAESIIHKJIAJIxg4ou0iWgKaabp4dBadGHHgQWWSWatdAyCm8LTVD2rIl7sdGKCsb263SfNM8+lafWJx3gczpqETh/qcJoqp8coaalOc3wtXRQJLEZApyaj81cW/I9XR3sNwYp69n4whvGdvgAdL2JviI1XmdBI8CLfsWjLHOFwdOP1TxB1xE/8L/5HuviijlkurPnou5s+0i2YDRkt99Fid/9j3sNNw82N6hLQ5P9r/l3937/qb+OCZ6ee/rtOMYOI//bP4SDUkLSqpwx17jQSjGh6Nj1vqC+J5EiABEiABEiABEiABEiABEigGAgsLCzA86IMHx4VkndcdyloVpr3gpZ6O8dWOSM66T8U+DQfj1ulIqIaOBDNmfKPPAPhPjPjKGBEM9qR9urdLiu7NA9X3FaJVy/ib5dbKngAGiywKRgQXh88Hq3+LydHu3R+KXjm16BhR+Xv8B0YkT00nmT76rWDt/bFLh2IDp6Ld+8PNO4NVv3LvfK9k9vRsl9Eas/ti8mpfaZFEbXghwajro4drXDve4dr5N3qE9KyjBWNcZH60o8X16Lt9z31FJrxMtUda/yhpRoVF/b1FBnP3HJEJ1Ko1ZdJdYnBK66vkakmABEiABEiABEiABEiABG6eANTW5S6HFj593ZNLddTsuyjXQBDd/CdW1B1i12b7ug28SIGiIjgRT+YlUJaTdJCD9XvDyG12NhtdPfErgkrFyGy0oEwk8qPIy4cnSYAENouAKgROJxghGDHOePR8qGn75Nbboc6i8GAo5rU3IceYGG+KXTnlO3z35JbbLLpMdKL1QHF0qOq3yC4adlFKgNFg8OpmbfAGPldJV0QWsw40YFR81HgXtKmMXX4BG/c9/410fBF2UQRjpEXGZ0ead81Odqgp0heiXQdwxv3EP0xuvQ12MXjul6g9VwlGTHipwazqG1gk30ICJEACJEACJEACJEACJEACG0Ng2h3uaLRp51O4TBVaTAql64cqbcbxzXwRyOzpKuCOJtvEqA8tBwvfDXYXQcfC15TQq1edQR2L1fq6q3l4dMDt90YwNrqEdsGlkkCFE4DaUhrNFIzoMQjBiKM20vak86G3ux55R6Tr2fj4omMUzXj5aKj6dzCNSDmKMdOCcdvtnr2fCp77L+Qhs+wi5GQJcUYpd/74InpUSsJT4OghONHXDmLvSHKq7osqvuhog1H07v8CLOvseLOyi3IG1tH77J2+A3chIBobfEl1tqyXmwyfT3oHSggOl0oCJEACJEACJEACJEACJFBRBBAtQxM8bX7QehEqbNntYzQJrkcGb9kreYEmoCeYIMG4knQirnmtVXpgYrZOeQCMhOPYDvKxU+PTSHKWx6a4CxKoNAKpGbtFMFpHJMOh1Ua6D7p2vBvNA8OtfxTHOK5yjCrKqEa94GkjRsDE+o/FB84grwgvp9WiNbsII1daDi05bcuTXdQ9KmEXJb6IQ6Zsx/pOIcwJRCIMHS0JFV/Ee5FRxJAXqZU2D0dr8JUtOI8ejJIFldE5SjCONZRWa8pK+y8I90sCJEACJEACJEACJEAClUwACgtDorVdhATDqOiV0Hj9dekTiMTj/DwTaCsB9oZ9WJTsSgZwp1LXMUVadFy3o5wCfuaooBXx4kUkQALFR8AS1YNdTAtGhBjTVcDR3qOux96PmGKw/kEUSi9GGXXRtIyAaVAH1GI9pFlaLcJPSmW0HLbq+UTJzJGXkTdY82JxtM52pslowTgmM2vQnRJ+1XfwLoQYff/3L8oxilEM1W3DmUjz4+n4otKMjtZQw3Y537FXcAkrmR+d9I8U34+CKyIBEiABEiABEiABEiABEqh0AnCJqNXVarGzybba+Rq6E+Nq31Wx0MPBGFCP2ZbJfMLC9XTK6JPezvH5yigfDgVisK/9lyYQ2kR7RrRkHLN5ZwLGTO2K/cFw4yRQbATg/XJMGqqAdSEw9KDO6dVFB054dn8Eo5ADL/9S9WNElBEV0+lD9xKEcJORJWpqiajFRbuYGG8pto0XWE/ScyWHibaLi8XjKr6IDooS6Yz2PO/a8S6Yw3DzLnSzxDF96Gt4CotojS9i7Euo5vcWwSig0LmR8cUC3wVfIgESIAESIAESIAESIAES2BQC8WhSiyy4LLidG+imODE6jfdiPMemrL8UPxTA2xtsBUKJUL5ILWq7WOCyUtx77poxr9zjDOqsJrace2AcTNlDyMXCMyRQtARyZFraLiLBKCFGzB8xmg3Ghs55nv4M/BgGSafVojJssIt2PawkbRctalGNRKlCFXbREshaWLojpTnbxZLqHFHdF7E7eFQVX1QcMPimOdZ3zPd/X0V9tBaMEvh84JbF+KKjNSFHi+cZALwFE7d1ITkE41zYmbUAPiUBEiABEiABEiABEiABEiCBzSUAsaMnbmBWi2cqeGOLgVqEFFo2kndjNy/Ld8UiiaXGRmO/C/ML/RcngRTOLZVaZgRMqfPBBrVK1fttbxiCfcXgGxjFeHTWFI/drSMrrNkvdSBcPwkUP4GM+mjdYxDxRV3XLPFFlWCUUGJd3C7jSLzPfQWOEUOTZcoJvKKoRWUXF7OLMhNZ5KRMW9a6sqqERiTPOrsy4otmzbhpFxUNqYZGbfg4jqbERDPkoQyPdkh8MTF5wfPUx1WCsVE9FbWII9Z7FA0Yvc9+TtdHS3zR0Vb8vxCukARIgARIgARIgARIgARIoNIIYEg0xA4c482M29BNBSft05VGbz32izgfZkYr2za27IDp9VjARt4TA7J1cPFS+1hITbEZuDSFX6O1SSN6e44MuAGEP7CN/Gr4WSSwFIFU2KNkmuoxaNpFiEGRabrGWea8qKpnOEZUQKPrYO300e/AnmEgsvhDKYtWk0p0ZbQkHtUbxS5qwXgOQb6lFlBs5+difotdRIgx3Xdx0S7WSpNJtE+UJop1ka79sctHoGElu+hoTRdEX0A/RiAKnLxHnxe7OPiS+4kP4mT4wu7F+GIsUGwEuB4SIAESIAESIAESIAESIAESgM7CPN+btDewQ7iD1x0iz5snMHzFBZgY4b2SGdM3/3Gbewc9shy9Fk2jiNk32L7fmzHZAb9SeEgMEip747q5Xwc/nQRWQiDp7jEEo5HTU60XpTK6RmUX03ZRKoJ1+bMOK9YHTv8Ursy95+OxgZfSL6mLxS6qt4+o7CIE3dC5udDUShZTDNcgcGgRjJbiaNkUwpywixiTXRftfHb6yLddj7wDEPTh3P626b98O3r5qHKMFyJtT+nznj0fD5z6MS7GBTjjf+G7pl1EVLIYtsw1kAAJkAAJkAAJkAAJkAAJkEAuAaTIoG4QG4uE47mvLnsGs11ghFDZajqiZd/CC5YigOHdgIly4BvohLnUPYv2PPaIzXY2DVtrn1E5jpNoupi1bL83gvNT40zJZoHhUxLYUALpWcmmRlN2UetB8YRpuyjRRDW9xQgr4rFoxmD171Dw637876KXX1gc7DJqKY4eqtKyrlSGmKTznNbuiyYT0y7WB2t/j4HasIUQjN4DX/Qd/KLnqU+gs6I2iv7j39M5xnDDI1oq6vP4O33km4nhWvhJFQo9P5+IbOj3zQ8jARIgARIgARIgARIgARIggdUQmL4ahr3B6N7VjtJAAz3YMLx3bHCZmcirWU6FXusY9oJkV8solG8lIEDJc15niF8URkhnEdDiceiyK+s8n5IACWwkAQQLpQTYWhmt7aL0XTTLotU0E1GLOrtoJBjjdqmMDjU9Mrn1duej74l0H4wPo0Ojqo+W7ouL8UWEJDdyUzfzWZZ2lKo42qyPBhbFRGqi25+CVnVue0vola3ShhHNFdXY6NjQWdfjH4BFjHTswxkEO2ftTYnh86GGB33P3x04+aNI25NSVQ1VK8L2PGbr3MxS+V4SIAESIAESIAESIAESIAES2AACUDewPajPXflnwUb2do7jXdBBjC8uyw05PTSrdE/M5L1S27au5uEKsYuAgJgifjzXIoksILqlJ+bgWM+jOBoXY/aN9SQfkwAJbDABNc3EjC/q+chpk6YKgSHcIi2PR1qfgFiDTFOO0TrVRWQjvJnzwb9yPvxX4bY9YuEQfTQFI8quh84hFrjB+7qxj1O61cwu6u6LqgGjbkeJ4miBUOeGRdxya7hllzHYBX0XHW2ILEY7n4FdRF9KTHiBYPQ+c6fv8DdEP443yxQYjIPRg7bHdCF5TQlNvbkxnnwXCZAACZAACZAACZAACZBAGRCAIUR2Dg5nhbOk4cEw7RfXozj6xmqrywDaqrYAwdjRZFPTkOez3qjHcMPTYm5y1kt4iqHSqCaGcAsFYtPuMBRleYw70fXg4WB2YT62id9V1h51JX5u6XQuLp4hARJYJwIQXOnuiyptiIEsyOkheZhuM6haBdZ7dn8YGUV4Qq3I8Fc0Y8bw6PpI1wHXjndNbrs91Lgjbi2RhmAcPr9O61/b26arxbMEY2Z99FhduHknLKKYQ2hDjI2WqS44LkAwytjoLbfGeo9AMCLeqdszBs7dhyvj401xcAM0iS9KyDPpH1nb9fNuJEACJEACJEACJEACJEACJLBOBMLBWFu9TJRGv7vCHwHb09lkU3bRpof/Fr6er2oCOqaIIdGI7SGS9/rrKRhFbRcBc2LEB3mIv6MD7sGeKQzfQdE62mPipdwDX0GpU4XKxr4CvuwfG0a6tDfYervGrRvsvzSBi/ETtZ7kYxIggY0kkJqxWwSjHhtdEzj3C9dj7/efvCfWcxiCMdZzSHzawS8pu4gMnj4wPVnpMi3NVOl0tOew67H3wbAFz/9WhRj1COlzpVIInJy2WWa7aM2o4ovau2JItEQ66zGrBUDCr+602EWJL4YbH8V5tFiEbJSKaUdbpPPpyS23OR9+ewKpTgOUURwNzVgqTSk38gfJzyIBEiABEiABEiABEiABEihaAroZI0wOhvnmXSSidLqYGtcgjBe7tpi4gxfCf/K+iyc1gfn5+Z4OiX2u5IDphcXFOGmoNjhJhPdQOwxFCQmJHKOVfIniRQgWHAZ7nbnrx37xEjp86pemxv142nfRkXslz5AACWwYgVkk64Z0IfBiTs/79GcgyvSBSJ73mc+KT2vepdSiqvMdNzVjY1oz6tLp+mj/cYk74vq2p1QYsjo+VDWfyBgiv2G7W9UHSZgT6U2hYT3yCEYNJNp3PC0YxS7OjjfByk5ue0t88Kw8NRxji+/gl0EjWHu/in2qKTmqR2VqJuNfuKxqqbyYBEiABEiABEiABEiABEiABDaFgMcZhNqCz0GCDr5RSx78RWQOHRr1S3gVj03/g3UmEkl4MBS9bsqaS+hDUSgNQzjc7xrqc+IYGXA7RnwIMV51hRAcRXUwSqFh3lY7baeECFiXCruI31JulbRnagbn5eeXnBuzyWRtJDlzuzVab8XHJEAC60ogXR+dLRjjtupw4w7fwbtQFq01I/56998ZanhExh/bm8U0ZjlGozejCLTY4Bnf/i/Eh86IrxupgoFc112s1c0xhiZTLWrNqAVjjQQypWy8Hl0odYIx0vLELOqjpThaBGOw6jegFDh1j7aLaMmYcLTCQMoEnAfe5D/1Y9W+0iiORsX0Wi2b9yEBEiABEiABEiABEiABEiCBjSSAqudu1Y8RYif3uNRuzyqL9rpD6MSIK+Ek0TBwI5fKzyppApFgHD8b/HjgEq3xVx1uRIU4aqVxAbKyebtTlvTeuXgSKC0CqFxOKzVLTs8waWqey9A5/7Hvmo4RDzDGxXf4bqQTF9OManBJevhLfbhjb7hjn+4xqARjNeqOix+LxbVmxheHVLATA2tQ4zymJrzYG4Kv3C/O8Nj3pfuizHa5kBitdT38DnRcxPwX7RsNwTjeEml+XC4+eQ9qq2FfhcxozVwoT8y7+ClxhSRAAiRAAiRAAiRAAiRAAiQAArA9CNpBGJqCESNgkFoMz2SM5ECIETE8XINkI+pYrY6IGElgJQT83rCOxWKCNgKNE6M+/a5L7WPyu2oYQm14heQ5V4KL15DAZhEQ5WWUA2vBWBVPz0qGCsO8Y1jE6cPfhB9DoDFw5j/df/wgHuvDtfOOwPEfRi8dSptGtGSUcdLe/Z+ffOCWaN8xifzhbrZquLvN2uDKPxctE9Mo0sHFIRl+LfNukMNU0jU+WocNAkus9yj2OLn1zbHLL+i8ov/Ej4AlWP07wy4i1qjii0gqBl/+FV4KvbIF6Ue5w/D52anOlS+MV5IACZAACZAACZAACZAACZBA0RJA28BU6rq1GtpcKup5IYW0gYRmRCkrmgQiioYqYPMaPiCBZQnAWusZLvq3hLJovAUjYKC4qRaXpccLSGADCMzF/BalBpOGAz5QRfW0SRtrQDDP+dDbXY/9rYxLVkf0teeQaXTteLdpGtFxMXjuvhgaEo7VRzEOZuvtnqf+UfJ+uJWtpiRqgbNRiFdUahF2Uca7nE8LRkQQRbom7E2BEz8EAffuD6MGPD54Bq0XQWl2HBXTMktaJRtbEhOA1uTe/SHn9rclbFUYECNYhmvwcRvw/fIjSIAESIAESIAESIAESIAESGBTCKAOGi5R6yD8RQUr6qYxjkSfQdaxDGYcbwrYSv5QzNQOz8QwVDqpBGMlo+DeSaDYCGS2HERaLz3kBRIMZbwIN9obYMMC5+4LYUCJFoyOFjQVlGO8MdL2p+lD/+p88K2maYR11E9D9duVlBPBOBeaKraN567HEl/UqUWLXRTjigN1zRJfBBMRjKBhb/Ts+Tj2Dq/o3f8FPAg37zSLo9GbUVFqRutFvISejSidVjdhfDEXP8+QAAmQAAmQAAmQAAmQAAmUDwF0wzNHIaN81TrOOBKO64ppmEY6xk35ylGljhApTN2mfDo/lARIoCwJSOXv4rhkJRilPhrlwJBpacFox8zoJvFpCOPhELWoDx1obML1obqtMlV5623aNHoPfFHugNSf5CGr5lPJIqcHBao45KpFTUMDMexi3N4YH1dAxlswy8az75N6186H/zrWd0wJRgx2kdkuqKSGm8WrSDCCg4ovCpaSKBgv8q+MyyMBEiABEiABEiABEiABEihOAu6pGbTFgz9EXhETOvIucnTAjQvgHvO+ypPrREDmU0/NIE0K+JjovU6fwtuSAAlUGoG0VbP0GxQfqMqBJcFo+rQm+LS0UoNUTAtGKf6V+l91NEr3RVtVuPWJcPtTSlFCyiG+WD3r6i5+sKoRpbaLyHDqkS6mWgQKTUMBkfpobReVa4VInEBG8aeTW2415OreT07/5d8DJ388ffTbGPiCk0h1xvpeNOOLyat9xQ+EKyQBEiABEiABEiABEiABEiCB1RJA4erApSnIKy0PCzfHmwlEV3t/Xn/DBNC0ELNROhpl4LJ5hIMMMd4wUb6RBEhgkcCssysjvmi0HFRi0CgHxsQW7dO0RUyHGDMTjBBuEupDMbUxIhlDTMz4YnUq7Fn8yKJ8hAnXMslFD3PRdtGIcWq1KGFODGeBhNQjb1R9dJMOc6oxLpJXjF4+4n/h/yHEqDWj8Xfrrb4DX4x2HzTtIhAVf56zKL8lLooESIAESIAESIAESIAESKCoCaAzXmeTzHOBxfJ7I0W91kpaXCKeRF5UZ0rx7eA7mrRPYzYKHg/2lEA3s0r6rrhXEihJAtBcGXbR0GvVGSOkxS7Wh+of9Ks8XrD6t9Gew0YnRt2PcbxZhRthF9OCUYaYwMjJHBMJQ47WFjkd4SCl3JaOi1IhrsfcKLWIUdrqCNU96H7iQ65d78NfjHeJ9R+XImhHixrmomuiW+Eew61/DL6yJfjyr4NVv45dOYFgZ9ouinRN+keKHAiXRwIkQAIkQAIkQAIkQAIkQAKrJRCPJnUuru+iA5M4Vvt2Xr8eBK6FE4O9RqAU3w4qozF2Wc/vRhtGXSiNL249Prpo73ktkigcrC3alXNhJFC0BLLrow3DpuuCpSIYmT34Mems+MCbrId753v9x3+gTKOKNWbEF+ulsFrsop4fXZ109xYtAb0wI74owcX0gBssXmqikVrUahHZxTqfmuFi5YCaaN9zX45dftHQjOOq6aI0qFSV49K4EpOmYRctTBhfLPJfA5dHAiRAAiRAAiRAAiRAAiRwowRQget0+Jd9N9QW8o2OER+KqdGkceiyy+MMvp6gk1yW3CouCPijfd2TWvnib0/nOJiDvPUWaMaIlxButJ4sy8fzc/PYPnaK2eXYMuO1Zfktc1ObSGAW4UPreJcMvabdWr1n36eg1Jzb3+p7/uv+F77rPfAF50NvNyUbBpcEzv4iduUUyqjVoUyaFEfjUPFFW/VcbPn//7KJEDBsJaMyWrKLabsoqUWjLDpw5l7sGtnF4Mu/Cl/Yg4k2vv1fNJoubr0NHRcRgBTNuKgWlV0ULPVxPTlapSLnQs5N3Cw/mgRIgARIgARIgARIgARIgAQ2l4DfG77UbjfFl/mgvWFoJXJycxdf/J+OdOJVV+hS+5gJtv/SRHgm/5wdXIxidpBPlmniFKPMp8b9fd2OtnoZOWQew1dcxf9VcoUkUCoElFjTs13wF9XBukBYxRd1eG+sLtK8C1bNs+fjsSunZayJcTRE2nb7Dn3N+eBbDdO45Vbv058J1T4Qw02M4mhVHz1SlRhrLHIgSXdPxt7TldGqJtrouBjt3j+55TbXo++JDb6UnmgjGcXY5WO+5/5FQ4CDhYRMwKzKNBxVLa47UuqCcUjL4RoEGoucBpdHAiRAAiRAAiRAAiRAAiRAAutEAHWp/ReNTB0CdUgtolgVxdT4i5aAevjI1Pj0On162d92LnV9yuHXCT2YNCi14X5X7Fqi8Mbtw15cjOhp4ctK6FX8zNALdHTQY6LQXhE/MHhFrzsEodrZPFxCO+JSSaDICai6YKtgVAXCMtnELA2u9+z+CEJ60df+bMw0MaZFNxumcbgGQT7vM/9sTk+GcvQ995XY4Ol0fLEq6blSzBzmE+HF+KKe6pKWq9Z5Lr7Dd8MiRjr2ZTWf1E+j3Qd0zhPXQEIGa++XyKLOLprtKG2S5yz+YTfF/GVxbSRAAiRAAiRAAiRAAiRAAqVLIJW63ts5bqieJhsmGmftBZ0AtREKB/PH7bKu51OTAPKH8ITa0IIwHuDpCkOJkWAcb0EzRvNuJfoAvx+MrUFcs61+MamIrUFlQ59im2Z5uLbc0NolulMumwSKjYA0BixQHw1FNnhm8oFbUAicaRf1LGndXRANBhsxwQR9GoPn7hMbCcO2871m90W0NEROstg2bl1PYrItLRgluomhLYFzv0jYqhftonKqqIx27bpDZkbrw5huAxTKtaprws273H/6e51mdD/xwXDzY9KLUo/ShrO1Vc9OtVs/mo9JgARIgARIgARIgARIgARIoEIIwO3ool04Rj28eCDf8GI4HxghXFMhWG5+mxgPjVSeWf8LQ4syc0QZV3VnxPmAHQpuVe8qhovn5+dnpqNjNq+eVoNdWA+Uiue1rE41Phuh2WLYAtdAAqVOQCX3zPiiLpFOzzdJR/gQzIMuCxz/gbUoOP04Pb5ETTCRamIV1Yu+djDcvFOGUGN4tK0qYW8uZlBoDmmpDZfWi2ilqBzpHaG6bTKcBSXhIg+b0XYSIUY9yUX+QjOajtEoGzeGuYRqfufa8W6tGTFxW1yrar0IGkXei7KYvymujQRIgARIgARIgARIgARIoKQJoPBZm0PtvjDVBU8xzjh3U5e7HXiJA19yyeQ9g7SnVmrwt15XSI+HzntlgZMYfYKblFADTPw8jLBiQ0ZnxZ6O8YkRH5gM9jqxo6U6T8LK4tXLXY4CTPgSCZDACglI48GM+GJGA0Y1OrkecT6IsuC5X6ZlmsWqQbvp+ciZgtHwaWnBmJqxr3A9m3KZynCmN44S5uHzoYbtrsfer/Wg58mPYJiL2nuLe/eHvQe+uCgYzWEuBgcjySm5x1HkQs/5T97j2vk3UiquKqOhWwF8U/bIDyUBEiABEiABEiABEiABEiCBzSWAamhdvWsWpaJLHrJ2yN2hrDVrbciVQf5wyG8WlgJPIcpALDQTK3BN4Zcwdgd3GOkvmVnSiL9iwfrATws68aozaA0rIruIV1EnvtTGX2uVITgo21/qAp4nARJYIQGJ1S0pGDE/GqOTkd9rhG3z7v98WjCmRyRLeC8tGPWQZT0lGeNddGBPxRelPjqV/f8sVri8DbhsLjSlCGR0nlRFzeeDL//a9cg7tGb0Pvv5aO/hwIkfuXb9TWK80XCMRoJR5RuzRauaow0UGMktldF6lPa5Ii8V3wDg/AgSIAESIAESIAESIAESIIHKJAD5A5mDgSPW7YdnYjiJauis0J2eOVKK5brW3W3kY8hYkBy4NHXDH4oqY9xhMF/R+g3fc13fiOwrFgyzioxi1u9Hf24yOYcLkOpcahljNg8uwMCXpS7geRIggZUQwKgRi120jpCWFB/GQKPkGQ0YkcQLnv/t5LbbY70vLIb3tFtLj5OWzJ7E9urSw6NxB63Uqmad3StZzKZcA/NpxBeH0oXhsnHsoj6O7dgbkTkMnLzHue0tohm33Or7v69Obn0zxGPC0SooFuujVXbRiHEChclBVUanRWvS078p2+SHkgAJkAAJkAAJkAAJkAAJkMCmE5ga90Pm5BZEO0Z8OO8YyYiZYUgHTkIQbfqyS2gBr7VJHi92bfbG1gzPhrejbv3G3r7x79I1zpjeUuCjezrs2NRStfbaqaJ9ZYE78KW1JXA9ehVjgv3Hvus7+CUceICnOLm2n8K7bTCBzPpoJRi1Z0PcDtE7eLaxev+pn0xuvd138Mtqvsn7pKGidmumXpPknkx4MRswGvHFdH00IoIbvK+Vf5yaoH1ONWBU7SIleHlejX6uj0vrxUbdejE2cNp35G7rjOxI25OJcS0Y88YXTcG4KFqBtJiTnCuHxitJgARIgARIgARIgARIgARI4AYIYIYvVE/AH816L7Jneq400oz6JSgyXInq6awr+bQwAY/KiN5wjfPYoMT58DUV/pSievVSu/jD3Fnk5iInRqXWHmTMM9YHmDqECv3OpmHrST5ePwIQidOH79Zq0foXJ+kY1w/7et8ZsiszvpgWjBCDKr6oUnwNvkNf0zXC+q9rxztDrzygtBv0WtqwSXIPB4qCoSWVo0vHF4vZqgkBqRDX3ReRYNRaFVsQuxhHfFENdkmHNlujPYe9++80aGy5NXD257JrmR+9bHxRJt0kp/mPrPX+UfP+JEACJEACJEACJEACJEACxUtAj41GjjF3iejBCM8Do4jhL/CNup3g9NVw7pU8U4AAdBkmQYNkIrHqNmVwdO1qVApmoxT4iGJ7yTHshT8sUOMcCcv4m7zDyvVedCPHa+FEsW2tLNeDsKLVK1of46VN2XJiuCZY9d8wnDjwIDF6vsAy5mZGYz3PW6/HU5ws8JZKeCndexBeUR/pIB+cmxaMEIaS4muKXT7mP/0z1+MfME0jWjIi2Ri7/ILSa+k2jPByUlysioLT8cWku7doYSY9V5RdTI93MTYuuU0tGDH8GhJ1Fh4VcU3kNidRFt0aad+LsS+Gbn38b8MNO2TGtDhGUaxLxTihIhlfLNpfAhdGAiRAAiRAAiRAAiRAAiSwAQRgvaB6UMab97N0P72hPmffxUlc1n9xMu9lPFmYgB6Os9qaX5hJtF4EdkRJC9+/2F7FUBssGz+bpRaGrXU02dobbAvzC3mv0T88cMv7Kk+uLYG88UWtGVErvbaftezdFpLXoAqtklM/xkm8lPv2+JUTuRfjDDYVHziZe33lnElMtqXVYlowYhwJugXCs0ESSn10Ropv1tEa7T44/eJ/mHNPINk8ez4WrPpNfPAlCDTxcmMY74JDd1+U2B7aPBYnUgxbUds344tq48O10Z4j0n1xTIUSx5tjl19E38VY3zFsX9WGq78TzaGGB1277tCa0fPUJyKdT6sMZ52lC6USrenui8VcJ16cXxBXRQIkQAIkQAIkQAIkQAIkUH4ERgbc0EFL1auaQ4ExlcM6CxiPkWwsPxrrsSOAQogRkJHcW+H9oeAgJPEWRB9LLsiHvCuCl1CI2MVS+0VXSexuJpBdm6+v1967cCPHpe5cEufRZ/Lw3lcfuu9FHHiAp5u47LyCzjy5wQsL5bOLejFwjFmLKZC91G/ZrARm1jo3/mlar1niizat2sz4oiEYJaOIeS6OVhi22cm22cnW2fHmcOsTvv/7F4x9MTKNW2/1PntnsG5bHC0cdRtDJdYQ6tv4ra3wE2edXRbBWB2XwvCaUP2Dk1tvnT767RiUqYQSm3zPfRl7jLQ+YRAwNKPKNNobAufucz70dg3Bd/AuJGNVhjM9RDsd40QScoWr4mUkQAIkQAIkQAIkQAIkQAIkUMYEUqnrehCJ15Vnbi+qdDubbH0XHVonQhk5HX59PQQRGuWhyHppjVTG2Fa3NT2tW+rN5+aXfSfaXeo2hiBcojXp2ksXqOzWw2vstowpQlYy+jdWoJGj9eLSegydCK/4Pz85bB54uomO0XSJeR9sJFtURuddg3kSF5jrWSq7aF6sH+Ay8y2V8yA1Y7fEF3VxtIovmg0YrSm+3hciXc9AKkaaH8O7ZicvKNPYlhitDb7ygGffpycfuEVLNuf2tyLlqBKMCDFWFe3Q5LmY37CLRgNGHV887z/2PXMjgTM/C1/Yg6eepz9tlEhLoXS6YlqGaEsLShRZ+1/4fxgtLW+EnDzy7diVE0LAiHGCahU+rnJ+WtwpCZAACZAACZAACZAACZAACRQggHm+cF/QWYgp2oe9KE1FfK63a1zbMPguaxRNJ+tgwC53O5BSw7vwAKG1AvfnSyAwcEnqnZHKKyDNMIIZ42BwGY6ORpvfGylRdHq0zcTIkrNpAAF7XKo2H7vWjRw3UbutH/nn9zaaatF8gJPr94mF71ygRDqwsSXSBeKL2hbiAr0XtFjMEolLPcXuKrAfI1KIGYLRiC/q+miZH52w1yPCF+l6FnpNOzfzr/vxv5P5JpNtqmRYJFu0/wTOuJ/4oGvHu3QUUEqtbVXziSJtyZsuD7eYVVGCKAyvjXY87dn7KXOzeABlahWM6rGebgPHiAkv0oAx2vuC989f0e9yAgKSnOn4Inxs4f9+8VUSIAESIAESIAESIAESIAESqCgCUFtomqfVlvk37/AXRBnNUl88HlVjjpFYs0rIikK3ws2Clc4ldjUPI9BoVbKoN0dSsf/ShEm+r9sB67vCOxfhZdgR9tLTMV5gbXpM+VLbTCbnCpjYArct/pe2//KY6RXNBwgxbtbKly40/vIGlxgXUJ3aH+ICTSl26dBSRjH3PC7eLLab8rnwfha7iCrprCkntYlRNCFsQKWwNmaePR/1Hf5m4NSPfc991fXoe3EycOoncHSxobPhjr0ooI7bm2QqylhDdOCU6sF4HoIRbQw3ZXfLfijaQlq2n7v3OsxqCTfvcu16n96++09/H2n5o+QVVYJRpCIeY9fjTcaBedOy/fqIyMlP+k/eY2Y4i9myLguKF5AACZAACZAACZAACZAACZDA+hGAZkRqDrXSfm8YpdP4IJyBZpwY9V2LLDnSV3dx5EiOZb+XVGoOxebaIqK5InwjJFt364jpFUXKdY6HArFlb1X8F2ib+vrrS2pSPfsGv7Ti38varjCvYMTJtf2Uld/tevRqptn7su+gHNOHv4mXVn6fm78ycxlfylWFpmBcNutofa+ZeyywQuwUNhVDbfQb8QBPN3j7BZa3qpfU9OTc7os6vngeY0owCjlw9hfQa5BskbYnZXoy8oqTFxJT7T6V08NcaZwJnPvV5NbbQrV/SEC1GZKtzhjyMlKNKuxVrWrDLoY/XFYwYi65G1Ozt97u2vFuw7I+/enoawe1WlSOEZoR2UVsvCk+1igDcXBbGaJdq7KLesxNVTEP0d4w4PwgEiABEiABEiABEiABEiABEliWABQQPJipv6CM4tHZ3HchuwhLhrkeSJ3lvloeZ5A/RNvAm98LWF11hcwmlibb7pbRsUFPAYt78x+9wXdwjHixO2Q1l/pcGOyVdKRc6u2le77YSqRBUuu1wLHvabWIB6G6bRuv15bVhqYqXFZFWgWjqSWX+s1gp3lviJMbD2GpRa78fD7Dpkp6VY0w7GJ88Axmlzi3vSV2+bgMN8FgF+m7eAFvnNz6FgQaRTZOtoVeeUB3Xwy/uhN5RZFs2rDhPiPVmCOz8iVt2JWZzSfN9Kbevh6fXQsCGBgErwiNnBg+Hzj9M+eDb1Wa8ZbpQ/8a6z9mVEZDMBpmNS0YMUQbglHG3CjBOFpbnBA2jDY/iARIgARIgARIgARIgARIgARWQmDK4df6C10BPVMzuoUgGgOGZvLk63TPPcx/WcmdS+sajLBxT81g46CxhgIQRcQBfzTgiyKviMelxWQlqw3PxEBssNe5kosr6ho0lswKMeJpWXabXO3XuvIhL3l9oFUqWh8vKxiXLhL/0gYXia+WWO71mQXCpmEzppzAj4leq/4NfJo0WpxoluHRDgyPbpudasdmcT5Y9RuRjaoHY6jhIZxxPfruOLo4IsIHOSmGrWZ2qiP3ozf9zHwqKepvyExv6u3nqZL2n/yR65F34koMwkaLRQyVnj76HcxwEc247XbMgkFduRoz3WiYVVu1/+SPYwMvGXZRCcbktG3Tt8wFkAAJkAAJkAAJkAAJkAAJkECRE0BgT2cXrbG9SDCO/oE4nytDkGyETUInxiLf12qXh4Jxs4QZc3ByN77aGxa+HvlGeDnM2Rnud8Hrova8dOe8QMzCyuIoPGQcKdkxmwdbvhZesga/MLRSfBU/JOQY4RVx4MF6/65KCFGBEKMZX8R2ClxmVYv6sfWNeVEU0JUIueV9S9GeTLp7cgybmh8NJzaq66PrgQUmLfran2VosiQYIRglweh9+lOTW26Lj1SppyiabsUFCLXiYrhHtG1UghENGGvmQsX4Lw5g/DL3rgSj0YIyM8SIOnHbOSQ2lWCEY5Qj1nvEd+CL4hgfeJPz4b9CFTkqqdWu6wNVv8bJwOl7wVAcIya8IL6YShbtz4ALIwESIAESIAESIAESIAESIIEiIQCvBWHY05HdZQsjOSDc4BghG61LDc/EJa5WRoIRg2wudxn9ElH9DQ9mHcti3fuaPEaxsN3m1TlJkLQeqKeedpdko0KMDWprGMIUciCan5uHRvNMBbMSsDoZq/fbd3FyPSCP2by7fn9Kj1PBAzxdk6+MN1kPAgvJa3nlIU7iJfMT13bIS66TtJ4xP7T4HywR4csWjJ49H4MuQ9jPIhjb4oMvoSDa++ydWjYi1ihTpMdbws07xa2d+AFGw0iJ9LAkGIvQraFaOSe+qKOMSDDqEKMaJK3qxCXJqXpRimPUh3KM0IyRjn2ePR/HlnG4dt4ROPmjYO3vUUPteuSvY4Nn4qMojpb66KJtQVn8v1KukARIgARIgARIgARIgARIoKIIwAXB+UAQ5e4ajRbhGDuabGY/xvn5eUw9xvXuiZnc60vuDCSqdaD26IB7vXtLQuciGqolG9ii0hx10zOBKLyiuRLUU5ceyddT+G0glok5QZ1Nxgb178rsvgiRiwna6EvZ2zWOl9ZjHPljv3/JHNaMB3CMJUey0haMWmkYRQQLceABnmYRmJsZLRA7tOpBXIaLs96e9dR6fe7jrIuL+elcaCpPhM+mBeN5ZdVkfrRn7z/BnsV6X1ANGI34YvDsfTgZbtiuAo1tpmCM9R7Fed/z34CIU4LxfPJqXxFCyIlupu0iEoxDioCtWtwgkpzSRFF1U4RjNDSjjJa2HuGGh1yPvR8bN49Q/fZ098UaDH8pQgJcEgmQAAmQAAmQAAmQAAmQAAkUIQFINtgeTDTOuzadY+xsHsYIYATSLiu72NlkS5X4kBcUhjtGfMgratfXf3Eydm3d63b1MGXt1rS5NeWbho8EIOwcjC6w5/06ivykuUGMzB4d9Ojp0vibFVaEh0TDRnCwVuWvydasdlE/XpPb8iabSyB+5USuDMw9g8uWXWcBVxkoqRLpWWdXPsGoxZoSjGN1aC0YOCcu0X/6J2i0KHnFqXb8dT/xQeT0Zsca04JR6qMx7iTc8jguDr78a5kOo0acpMIbOlt82a8PF0h8MaP1otUuWnswKruIMmdsZPHAvpRpXJSNMmhbLPcrWz37PuXZ/eFQ7f0quonycMCsgshdyap4DQmQAAmQAAmQAAmQAAmQAAmQAAjo7Fw4sxTaJIO5JPBvWsThL2TjGg5AMT9lwx7IJJeJGTNlB/2FDOEGfDoMLeihjhgpPnwcKojxNDcIijQjzqOCeAOWtLYfgd8JVo4DGUV9Z6BGKT3OINaY9Vkwq7C7qEzPOn+TTykYbxJg0b69wHAWbRpXOKKlwH1WeIdiQCT10Xkk22J9tOQPVddBzDTBQBPn9rdFe4/oBoyxniOwiNPPf8Ooj4Z4RH20Eoz+49/DS5GOpxH2Eyk3Vl8Mm81aA0xp5t6RWlSHpDf1YY0v6gSjqRnVvsQ3mg+s+hGPVd9FiT5KcXRxDrjJAsKnJEACJEACJEACJEACJEACJFA8BFABjV6LMIfxaJ5W9oifYQSJdkd9Fx2vZ85BxntNoVQ8O1pqJQFfBH0O9V6w36vO4FJXru15JBL1JB1tF3FzUIXkxDSZ3MEo/ZcmsMKSCzGCLZadNf0H20SaEQ0nc8dn6x9V3p/cDcPPGtmMiukbvhXfWGwEEFDMmz/EyZVkF/V2rkevLnUTvFRsW15qPegKmCnZ9IgT63ATLRgbE+NNviN3Qxu6dv1NbPA0pKL/+PeVRXxKpRmlPloLxmjPocmtt7v/9Pcy7kT8WzHWR8/F/Jkb12pRBxfTxdEYyyKV0eowsotaMyp/qM8YddP6DPSjOox3GXYRghEft9RXwPMkQAIkQAIkQAIkQAIkQAIkQAJ5CWg7BN9lnWWMUlacRzEvxBHyZrlxO48z2N5ggzrbgPrivMte+UmkLnX3SLUXG4p5s8qTV36rG7gSDhafix6P1vfqgmJTOZovGedLbdoLfgzYo3squzmnngo0MeIzN6gfYOO4fm2rpDHVxWzDiAcc8pLFPPfpQir+xlxiYS75xsLcG7myO/cNm3oGLRYx88XasxFPl+27mLVkiESEFVEQraOPeICnJWQXsZ3Z8eZszybDTapl5DEsmQofxmWUiQjGxFgjdgqpiLLo4PnfuR59j+vRd6uJ0hgnjbppTHhpwd08uz8q4rFtj1kfPZ8ouoFTmRu32kWkFrF35QaN1otKKi6KRJVUFIVokYpWo2i+FwylOLp61tWd9cvhUxIgARIgARIgARIgARIgARIggZUQwLQXPX8ERhFF0yP9bq0WYYFQR6wHBJv3QQ9GXf3aVj+ISSXm+SJ8gCjg8BUXdqEP7Gu9J7nkQhi6LAvIqsVOpa7DzfZ0ZHe/RK4SF6OGOvc+xXxGi8S8PwZkMhHXhK+2rj88E8M2J0anrSf5eIMJIPuXcQycjA+8lJDy2yo0pkuM1s6O1c/aGyB2Zh0tSXTwm+pIurqTroupq72YAJLyDczNZA+g3+AtVNrH5TQhhFo0I3w1Rr9BTGmxN8RhF8ebpfzZ3jT9/NfhD/Xh3v2h0KuPRgdPRgdORboOoEMj3CNe8h36mkw/UeXDeGOxgc2ca2Mti9Zm1Wy6aBZEK6mYWw1teEUVcdReEVIx7RWVXZRSa3AuNgJcDwmQAAmQAAmQAAmQAAmQAAmUCgGE+hBZRNgMWTtd0gsFZB/2ZqkhqEjUF+MlHFCRCKFh/svGW7tlqc7PzU+M+tD2UC8VmitLky57h7W64FK71GVnCja599igB+ezxCMUKE4u1RJzrZa05vfRvjSrRFp/inaPWaX0yMpim7ntGdd8YbzhkgQWFhJoWwedOHgmfuVUhmnMEo9LP4WEXPL+fGEdCCQ9VyzxxUzPZsQXUR/dELc3xu0QjC2zOBytKIWOvHbA8/RnTM2Y8WDrbSidhlsz44tJ/8g6rP2mbimzrRc7T5pa1QwuGl5RpkWbM1zUYyVdUfSt+y5mVkMbXhEdF80WjvIg6e69qbXyzSRAAiRAAiRAAiRAAiRAAiRAAm9IoSSmb0D+oGI6y33Nz8+j7BQv6QPeDNk8NNnDU3g81PYWDz8098O06/Q67ZCim7g2XZ2diGe3uES6Eiu0jnTBeGvIWxybuNob/ujBXhnpkrdeHmPKkYM174zfWE+HHRdbS/LNV/lg0wgszL9xPfXG3OsonZ6fjaBI9no8cD3mvx7zXr/mvh52zoUmUjPjqEpOTQ+npgeRYEwFSvK3ummEb/qDczybNmPas6nMHlKIY6o+GvORR2uRYFQF0a1SED3VjqLyYPVvfM991fXY+zFO2vPMZ32H78ZJqaeGwVPdF1FrXGz5veS0Lb9dhCFECjE9LRqCNNL8mP/Uj/0n7wm/ulO2LzTUqGgzyogqaQkxpuupDcdoCsZzeBVjdG76i+INSIAESIAESIAESIAESIAESKDSCehoGRxXVigxFknoJB68EIqOrVNIcCUMEs4jMVg8+FB9jCUhJZiVwNz4FQLLUjJNj/A2B3NrR4c1b/wib/4TI+E4gq+w08iOZt0NghcEkIzFNV5XSFff93Zll4dnvYtPSYAErAQyp5xkpfhUNk/Ce/Whpofcj/8d5kdPbrnNvfvD00e/E+7YOzupHKOMjUbfRUyONoZHS59GsYsN8TGV8UNp/Hir9UM3/bFMzYYPNOKLZmgzXRmt7KJUdg+e8WZGNF073hU4/RMkEg3NaIYYdZW0TUZFGzXRQ4jyqjsPnYPM3PQtcwEkQAIkQAIkQAIkQAIkQAIkUAYEILvggqx5M2wKpaxot4jzmMJs2jDrZuGUdJSxeGp7ZwIitSBFN10wIk6JlaBG20pMP9a0EQRFdlH3igTGXEGX+8biPOOZmsFO4RgxXty6QhSnm0N2cIG+JjfSaX0LH5MACWQRSLp70p5NTY6Wwt5MzzZWFzh9r6X8+RbzsXvnHf4TP4z1HlEV08ouTjRLk0Z7k5RU6/iiMm9zIWfW527u05z4oiW0mbaLiCn6DnwRm3XvfC/Kvf0v/rtr1/v03qEZQ9W/VWlGqZ5WFdPpBKMIRnU3sYtAelbSm4wvbu73zU8nARIgARIgARIgARIgARIoIwJ6wov2P8nXU6YaQgJtfj5jVId106inXkqjWS/byMdwelgSBhzHr81C3/l9kY38dOtn6XaLeUe3aLzdLaNY6mutYxigY31jyT2GYdaqGQFF5DP7Ljr08CDsTh/Yb8C/mRXrJYd0vRa8MI9S6IVUQsqi+Z9SIJAR5DNmuyzWCEOyRXuPTm59s3P7W0P121A4nBiuDbc/5T/2PUyOXjSNuz8cOPfL2MAZ2EUMgpFxMHYUR+NAhTVCfcVl2DKH2ljii1LjLH0XdcfF0Cv3Y4OefZ8SkSjTbXA0hpt3uZ/4B71xRDrDrz4KRGqb6SrpxQSjji+exSiZUvghcI0kQAIkQAIkQAIkQAJlSwC1ooO9zo4mGw48sJaOlu2eubGyJgCLiIEv2CLKpfGrhhdCP8OVSCFc2dFYRPVlyNE111x5+Vg3Kr6Rvbzc7disNCNCidqzQdJmzZrR5cNABx33+usZqgfTc3CU3G8NahpeUetE/Rf8Ya3xc9K/q5LbUVkuGM0VzcEu5gYTkDZDZxOY96GmSKO2dNbeiCnSSSmwvZB0diad3Un3peTV3pT3CnowXo9eNd/LB+tKIBX25IkvZni2et/z34BPC9Vtk2iiHiGNKdI4xpsjbU/6Dn1dD4wW57blVu/Tnw298kAMET6JLxrObdZ1cV13sdqb5wttVsnQZ2w8bRfxK/Ud/JLzobfHBk6n7aJ2jKIZg7X3ux59j9aMnn3/FO38X+UYVYjRbMCo6qNxn9Uuj9eTAAmQAAmQAAmQAAmsFYHwTMx6vJ6oxLbY0InawJj/axpP6RjX6jfG+2wWAYzhGO536V81coAridWhEyOuRxe+zVpz7uf6veGq493P722oPn4JCcZEPKNuN/f6dT0D24nCc40UlHDAKOpPxNqspeWwoNNXwzoHmFWrvq4rXJObQ59ia3qbqJXG6J+8NfXmZ+GXlkqVdmjT3EtpPcAAl/hQVQI6ceisuXI1UfqEKR6XfQDZaL6XD9aVwKyzKy0YM4N8ukxYRpnUoxzY/fgHYNWUZ4NXVHYx7Rjl6XBtqOFB7zOfg2DUzg1eTtoPSnF0DcRdUUX4CvWctOw6YW9w7XgHJteoXSuzqv2qEWVsgi0PnLnXuf1tesveg1+O9jwv+8VhVEkLUnzcun6DvDkJkAAJkAAJkAAJkEAWAVhEVPn1vzaFgj7jaB3rbh1DZR8OBITsw15Yx6x3lfHTgR4ZnJp14GQZb5lbqxACaAwIU5S3qjcvAS0k+7on8766wSdj0VnEifHPqPaGwb888+r5kxdR673Ba8j9OIzhhnBDjXB7g6290YZQZZZbQ3bUPTWjZ6DgnyqoMg74ireaGP+0f2Lr2Yfue/GRXx/ft6N6YlTGiDsnpA0j9pg1JCiLBrKaV51BDLVB5HVkwJ31Kp9uGoHrKRRNLySjCzJFOjgfn7ke812PeueuueYwRTromAuOp/wjc/5hGSHt7cd06U1baiV9sAw6MaacmN0XdZBPlQkru5gYPQ+BpjybkmxosSjZRXUYj3FeRfvsjQj7oVDas/sj3mc/Z8YX8aCooCYm23J2redlW3Ztb4j1H8fGg688IKFN7FQfVseIKTaoBB88jXk3k1tvE8249c3TR/9Nbp4WjAjoFtXeuRgSIAESIAESIAESKG8CUItoI9bVPNplUYviFdvkuKQO/Vibxhn/prU728gvApYgyy7iKUKMG7kGfhYJrAcBVLNiOslK7ozEne4xiB8/BBqKqTfR5qEYeWLE19k0jJJk/MMK63EMe7EwpARXspfNugYZUQybhm0z/3mCBKN7YiZrWspmLS/v5/7pf85s+88XHvrFiw//6viO35z430ercRm+fWxBy8asd+F3gqCmY8TX02EkOXEltowfT9aVfEoCJGAlgGBhftVmBPnqIdAwDBpjozHiJKM4GrZNO0YIN7uUDItj1MINldHoSYgByriJGqmcdPdaP3RzHxeOL6rWi8auEd2ENgyc+U8RquYhG18UqsJnrB5HrOd578G74Bjdez5mTTAyvri5Xzc/nQRIgARIgARIoKIIIMUEebhoF3VkUaSiXY72zENOinWUlmLlXjedVzDiZEX9PLjZSiaQSCQRtDO1mPkAOd6Nb7iHymLE/+Cs0DQSC9B2DrFA3f8wFkkU4TeFjoWjg562BqOsGOFGpEAHLk31X5zUtcZQo5vVOrIwrgd+dmTLvX/Z9vMXtv/yGEKMO397EteDNkxpJBw33wt36nWHEIjN6iYBg4r+kyiR5n9IgAQKE0AbzLRgPBfX413MPoQ6vqgEI6aceJ786KJkWyyOVqoNglHUYmNiTGxbXI9UVpOjlWCsKirJJivMDm3mxhd1MXiT78Bdnj0fk+zicoJRD5IOd+yJdOyTXo4qwVhUZrXwL4GvkgAJkAAJkAAJkEBJE8D/NlTBRcSB0tlFZRclsqi8Yk+7/ZXTvaee7+jpGFeHHWfkpTY7HCPOoA6upAkUXjxLpAvz4avlTQDiSIfuoMKgla6FE1Bh6EGKfyWBM/jnwIb1I4VLRFkuPrS9Yai7ZXj6ashK/qorBPPZd3FF5dvwkKhTRv9GPUfbep+1fQxcqOM2lSyWB0EKQWd+CuqIUYaMC+w2r3myeB4YgvG/jqoQ47Ed/33CujbsDvHRns4M+Qz9i68J/+4J/TSwL3xf6t9DbX71unXlfEwCRUUge5IyxrJAi0kLwXSlsLKLiCaGm3cimxdufmzRs0G4mcXCKriognx12rNJdlG1XsQNkfErnl3nJDahVdO7xnTsUWk4qUObka7/DZz5mdQ+P/CmwIkfLW7cTDBqp2okGNMb1z0njfroKhAunr1zJSRAAiRAAiRAAiRQxgQg0Ixiw2bVdNGwi6IQUeYGfwiR+PNvPf2NTzyCEAuuRCjFMI2GZpTejPifkLFrxZgduvkvDv4kK8SIpxsmVW5+/bwDCdwYATQPxH+vtRzLOzwd44+hjyCUrMbsxj6r8LuQk0TVLT6rtR7CCi7OM5e6nvsWXZa77CxsxAVN44cHyBaux/qR3MMAFPODELCEz8xdsz6DwdO4Eo50qQs26/zDvzoGx7jtP1WI8b4X9z5UpVcyE4ji/xeYu4PyRRoTzjZL2Op/e4XLcEHhQTCbtcFK+9yF+blZTOYdq1OTo5tmHZgc3Zac6kg6u1Lui5jnm/L2oe9ianowNT08NzMKC7SQCC5cpx9e319KctqWP8uXqdriozWRC3s8T34M9cKhui2zZpYvT6VwHs+W9PSv7zZWfHc0nFxhfHH6L+IVrYf/he/iByyaMUurpgVjeoS0Mqs6vlg0G18xIV5IAiRAAiRAAiRAAiVJANnFpe3ieG/HOHTivoerYRf18f27dp947gJOGprRjDKqQTBOR3lO6INOhIaFV8SBB7SLJflb56JXQyAUiOmiY6ihAuLLMSLpO896Zpjh5fRKtM5CZTQmhvi9kVzHCOGJa/BvRgqXG+NfhUBFIo1ptgrEP80Kv2Xl5BbmF7yuENagV6vDn2gUiaRigZvAcF5qH4M7LTw2pcAd1umlMZv38T+c2XIvHOMLT249h7Cl/iBUzWODcMv4/yAwuoUN7dT4NC4GhFQ+LbxOK+dt8xJYmEsuOzY67wWJ0drr14q6x2ne/ZbKSYtts9ZHp+OLkuVrDLc87trxTqtqg2kMv7ozPVg5XRyd7dkWJykXT4ovR6jmjy+i2yT2iynY04f+1XfwLufDb9fbxxztyIXd+RowprWqJbcJ3wifWSq/BK6TBEiABEiABEiABEqXAIr1CtnFzvHLnY6Gqr5vf+pR2MVdvzux7edHtGZEoKWjwSaaUYqm0+XSyjGisVi5RhlL94vmyklg5QSgyHTRLqQQMniFdTqEGC7DPwRWfv+VX4k4HHJxuD8O/JMKyUNIKh1iRJoR7q7/0gT+pYb1Hzi6oUHAZ8yfwl7wT7kxmweVvEjT5X40vCJqk3F/mLTcV1d1BsITi5EVqgVDiuIpPhfrXMkYFz2aGSHAVX3oyi/GBnf9/tT//OQwDjy4+f1mhRULrwT/zwJYnI712l3hT+eriwQWFuYTYYyNnsXI3SsnEoMvIb6Y8l7B2GjMjMbjxHC1CMaBk0nXRTlwZrQ2PnBaW8fZ8aY3FvL892jx/ny0egL4RvLHFy310bG+41qvuXbe4XnqE65H32WaRlhHhPqirx3Qg11UfXR9nvro8ebVL21d3iHzslG1nd19MXtkdrhxB/boefIj8bHzyCsirjk7Vheq+b25d+8zn42+9pyx62ytaokvTg+vyzZ4UxIgARIgARIgARIgAQsB/M/t7tYxJRiN1ouodNZ9F1EBjf89CLfQ2+m47z8OQCr+5Ov7cAYNxE78uf17d/0JZ777+T++8GxL2jGOI7EjLRmVY+xuGZ0q0yijhR8fkkAZEoAKw3/9tSKDHFs21weDh4sh09aWBRJxGFKMRJ9eCaqYUa+tPwIrhLiDWsSoFKQr5XgVrSDH7CNezLWPhBPIMeorYcDQJFbfAX8xYwWRxbzrxN1wQTj9xrzXFDiJCm4oWR1WxH3wD0M0rsRkEwT2sAXkLQu813wJn473DvevV0jssd+/pO2i6RjNj96AB0icgv9gz9QGfBY/YhkCc68nYK4GTqMC+o3c2ueFhbngeMJWhRpqy6sLczN2GUZ85UTqahGNIV5mpyXyctJzJce2qQaMi/XR9Z6nPwPbFqz6DaaciGpztMR6DwdO/si16w7TNLof/7vA6Z/FLr8gFcSL411q9JST1My6/GugG2CMSnzLfs/GhyzxRYtT9T792cktt8agwVUluN41/sbHav2nf+p88K1q47f4Dn0t1n9MadXMXavxLtCPN7BCvoUESIAESIAESIAESGC1BKbG/dnxRTXVxbSLEIwH//gKXOLd/7ij5sRFRIn0AYv48K+P6Sjj/T95Hv8D35JjlH6MEIw4cPEN/w/21e6F15MACdw8ATgxHcCDl4sEV9QSH/lApdTGbv7TzTvgo1F7i9viwAAR67Ri8xo8iEeTyDFCW+FiyD2UTnc227pbh4euOL2uIEq8tfGDe3RPzKBKF/+4ww2RZrTeRD+GtMRLSD/mvrSSM9CwmhuGm6D1ovkWWDXc1nrGfCn3AXTozawBn3J476sP3fciDjzI/VCrXdSPc9ewrmfwReA7WteP4M1XQmB2vBF28Xr0aoGLF5LxxNA5ZBcXUoutlfE4gdTZlRMLCSZRC8Bb9Uv54nxaMNbqWSfRrmch03zPfUnPUDZVm5i3iWbMSp4+8i3UEZum0bP3H6EiY8idypgYQzAWSX105jgb2MVMwbjoVBuc29/m3fuPUgdtEYz6MXYdGzwzffRbMJCy6623+499Pz54Jrf7IpqIrvr74BtIgARIgARIgARIgARWSUDHF5E7wuRo8YHpwS4YD62zi7CLLecHv/OZXRCJj9//EgqfzaP/0hTk4UtHO3/wlT149QdffrLm5EUZ+6L6MUJNaMeI/8WN+6PRWd7KxFWul5eTAAlsBAH00xvpdyOSt5IPg5frbBZrV6BJ40ruk3UNirKlArrJ5ilYL4yYNPKBsIvwexgg4p7wwxB2tQx3tY52t428/GL3X/a/Wnf2suoQKNtBBlIXUCOZmfWJeAo3iI3ccJNACL3cISZIWuKesWuzuR+Xe0aXSOPf++S+tOwZfDq8olUh4mmWY7S+uimCUdfda12sYqgzYI6o57K74wVrSABeUVKI3ivL3hNl1LgymZlXnAtNyNunKYqX5bfSC1JhjyXOl27AqEdIq3E8yOYFX/4lNBrmR1sFo6najFaEo7Xhpu2+/V+Y3PpmbRr9Z+5N28XqWWf3She0ztfNOrss+1V20ZpgXBSM9ZNbbw2cuscUjMZ+lVM1uy/Gep73YstqCgxKyAPnfiGjqI2p2VW4bJ13w9uTAAmQAAmQAAmQAAkIgXT3RWtxtB2G0Iwv9nVP/ub7z8Ef/uirT0E54n+Yy5HWjNoxoiYaA0Zxzb99eudLRzoNx2gplIa9hGPEeUYZ+bMjgTIjAH8FBwiBhvpiFEqv7e5gBZf9FxNIxKEfY1bVM9So3xexD3tOHmo9vK+hpVb6Q17udmjLh8prLRIxBDlrwUg2Yi9LpSWzLl7hU8y+wT1XYl/hSPGP2RtewPN7G/9/9s7DP4rr3Pt/y03ue5Nbckvabe/NzZvEsRMncYntFLfYseMel7gbO6YZm2o6NoiOQIAAFSQkVEAFqwASRQ01VFEvSFq0arzf55zZ0WibVn0ljj/z2c/s7Jkz5zy7Oni+83ueny8/5KBznCvePuJsQ8a089NZ2OcHwwSRpNplKnlbcmmmUsJnYUbz8RIAQwgh8DCUwSMJI1fa2RIRo1DH+gvOg2Z/KhEYmy/sAYyk99rJwhWpbXGvw9B6CvZrwDiK2qBtPv7RyFM7E95r3PKTnktRHsCYECZCvsHe1rF00RcwItpMdVWkkdrcsPF/SH+WCV63RIzWxH3Mo7uzcdb+ISFqWP+fFmBU5tFcbipfjTnXRMBEwETARMBEwETARMBEIMQIiF2CU744Njkaurh/SxrkkC3hSD5okdpZbE7MqBkjVRk3LIml2Z/uX4/tizZ8QcSIJBJhpAaMZCayGSljiF+NaWYiEOYRGBoawjsYOsRWXFgb3EF4huaCXFAPAC2c30sAslLjL1WXN7PWFeZV2YUQIZAsUAgvvQAmixsdkljtt7fJHcR9hj4pIDnu6bShJQMbt+il36684KEGiYgYnY1xdbHLMLIzdZMXZ+dB9vmCSFGHQtsVNZkp/yIglOU5l11aM0gP5qNpjIC79hyE8PZISBLl/uosaXx7zOMD+BUputM4pDu5K7E7GfU60cnCqiDhKGAU2taZ+okAxov7XFWZCrJluarZJD/aAoyV6Q6HlxRPprAnPzpsbJRdNdlj52tPObGvlNEq1+xyFJvvdGdvaot7s37Nd6W4ojVre77M2o9ldkfqsq6Mz235Yn/tuTv5p2XmbiJgImAiYCJgImAiYCIwmxFQ9i7lKTGFVC0joxktoiRH54ixCwof8hOfunct2HDVe9GKLtYVF9jbqJRRM8ZLeTV/efJLGn/2zlHEisrtxZMlrRSMGjDyaqSMs/kVm2uZCMxEBHq7XfyNw4hYJUgBDv0S7lsDoTcet6UWHLJeBWoJV2SQWpE4ODAIObzlcuvGcD8MYkBe9rkIJiUpO7102mEpz1wAaze7RgvZ2RfVO0JrlXiSq1NV0uvTEN/6BYwcDPH0aW/GpNArwjBBpnwL9qarYhLtab+i6TDECAw0XYYZjvRbNuvBzxIhWUmsV5u+4hjxkjb/TUcEEBaOBW4eBaPUTkzuK08RvIY/cvkpSiy2Rb84Rrso8kWPglEAY5ofoxMl5HM3hIUvz9hkcNCi3uLFPEjGeaqvPAkDF0xqapb+LUC1cdvdNYu/1nL4KTVNe7KKLlqAUU95rGW2XXPS1TUdX5Hpw0TARMBEwETARMBEwETARGD8CGQlXz26OytyW/rRnZlkEUIMoH+6+iLyxY9e2gcwZHvx4c0JR84LXSy0ASM7DsZ4oQYRI54CNH7ld1vpRCox6izpsQpGGzNy4++lHRp/uKaFiYCJQBhEQJU9LIEXsWJAGic0IjSEoSQLh9InZjSsJwwjSJFG0CINygM4OGtvmpLLdXAwXRuQxn5rM4YyniBt0O+BLkkKxsPFtxlX13Y2tJkKdgslRdr36tN+hOKZllgxTX4keiOPnjiLWNE9yA+Ag+xP+6VNhyFGYLCjGsCIT/T47YcHaOklVhwZvMVBkyI9fvRCa+Gj6NOA0bKQ7sMMGvni6SVUX+xM/rhuxTe78yP8KBgrkfOxWYBRyReTRQ3oQW2QvdCGM7Ot4J8eqGjTRXYSZPMoNmGqfRWpnWc+qV/7fRij3tqOv+yqSvfINW35ImnUAaccJkx1ZgNqejcRMBEwETARMBEwETARCI8IcNMduTX9wNb0yC/OHtqeQSKhU754cHuGpovvPBOhd9AxQg6DiBijd2fT8rGfrlJVHCuBD5IlDWBUPi82WrR30E+2NYekoAiPgJlRmAjc6RGAHenqhQAi8qMnqvSjPeo1HOen5eECqwfDQBkYPMEWjSLNsHL2++VhL8J4aKA3MKPfZlM/eENVYuQqPJrhorLVd7IIa38cjvNkx9cgZkLXBVR6iRh5y8EJdTKVxjBDXUPSjidvKYsB5nUmfaNipQG8cSrXMudOJQJoFwUblieNDPoh3s6ecXKh5UBz0ZiDrdc4ONh+zXnQ7E8uAgH9lG3aBmAsT65f+c9wtvpP/wldH8bKXRlrVH60J0ta12BEwYjcFLkjgK4c6aOii/RTmkjq9OSGN71nDbRX+qOLyBdVSrgoNsmPZhPAqOaS0pHwXv1n39KMsXHzj3oKDwhcFe3iGKDqO2UiECaW2dMbQ9ObiYCJgImAiYCJgImAiUC4RYD6YwgIT8dc2L81LelYAWDw0I6MrNQSW76I2uSPv1oHLaR+F8nRhyMyn/nV57x97sFN2Lj4Z4wXatb+9Tht3njsy0u5VYU5km19Ubykr4k/NaauGVKD0XczUsZw+3mY8ZgI+I0A+Ej7ucDEJie0g6pBlnji4Lf/iR6k8GMonOrWrQFNNbm61yXImNaJ3vQDCuvqmM7Si17X4i2MUSsVuZxz40FMQ1CnbN+uAh0BJ6JjhCuysTObdBHVop4U0QYeIlN0uwcDjZNos/IH+tQcn4UIaJ+X/sr0IIxRu0VTbtGZTD3i7sHzpa8oJsiJszD+BXMJH+bmRdsEtSFi7DzzWXPE/bY3NMANQxNxlAYqSoq0Ym6C3RyA0SFfdDdenfOISalJEOKYapN2fjSAUSk2ZczJzLevMq1PpnaGjbPajr1Ys+zvBDMu+XrLgcd6i05YBRg1UKW9BVRHFZvulrI5n7IZgImAiYCJgImAiYCJgInAgo8AYhLKLXInmJF45eypK7lnSg/tyIyKyIQESvXF3GoKmi157RCo8Nn71tNSVV+sPZ9Zsez1KA6yQR1Jf1aYcTRLmiqOT98rTDJibTKd0BW40hIxOqxe/GJGI2Vc8L86M8F5HQGSkcFBGh+xIExaf8jaQifTkoOMalHbhYTC0MhQ1mUAMZLm6pDS6+UtNloEePqyxxn6vogk5A2dJNpF/E1INvetuNhY21F0sZbnMmgvaUAlwxkazPR2S2z5cqkkOTgwPL09m95mJAIjQy6wzJVoUCElGYdcXSNDHiA8Mjjc00RatHyKUrHL0ppCFEXQSCormsamyzMyqjuv0/6qjLHMzc6PhpVRjVABRgu1ZWKO3HHqQ7yhtaKP17pP/6nl4JPdeTss4KYAoygAtXzRkx/N9zvnoXXLj8eZFu2ki6oAo1YwIrmUWduAUflHV2X2Fh1vPvAogFFmvfybrcdeFmWmU7GpgapSbIp8cWAcde6cB8QMwETARMBEwETARMBEwERgvkfALp5Gmh433dxZZyUVI188vj8HGwJUJRAAqjJqkHh0dzb3uRowatXi8X3n/vTARj794y8+37oigXt2PqVN+skrf/79No4//+AG1E10QlcOEaPoGFWi9BhHaS81IwTD9l+Y73E24zcRWGAR4M+TCoFBqh2OO18WHI0okRSO23jcBoyE3ng+ArIL5T+ys1ubumB6+ErrYfCK1g6HGmf2Ll3xlsZeB0O5xHS1ATDaI2SHtTSIFHC6Ljr1fnQqut8ik6F0DpbUXxAC+1DamzbTEIFBN3UUNUW0XoGHxTGjR2CPbaMysOGuOv2Ruy5/Gq5uurh9G+43lrlpughtw+uEjTTnVI+Wj6qDmTh699ewZfdeiW478Vr9uv+wSWP9mu+1HnuptyBSKR6pvsh2StmmJIRDfrRkggeSL5aq/Gjl8NJbHINntEwETliZ3od8UbK/M2xfm56L+5u2/0LPun7ltzoS33fRrQ9QRRdqfl8mAiYCJgImAiYCJgImAiYCMxcBblH1DSCyH3LZ9IUQyaTEFgIYE47k6/xooN+zD6wHFS5+9YDQRQUYPYyxFsyI7AcFoyaQlFt84aHNL/9mi377wq83nU24TIk2pCyaMdInidLncXtRxRilHqM4SrP5yZXm0kgZubmeuSCYnk0ETAQmFwH4j6/WbkJdUYsPXMajjQmdFagx2I3eKksDlkyEU1GkEbFid0efXSuSGpI8SeFEYCk1JJ1STLAnsNGWNdKGdGYyl4dmkncBXWurWhmJU0LJaLvae3kl4AgdGQmjmkPgGegr8DpefU2+X23Y7fVRkLe9N/sJO55ifCOczhaoWmaQTsxHU4nAkKsDYKjUjMcttFgUQ9E/xIq3h8c8CxjuuQGQHLxpctunEu8x57obrzgAoyc52k4WVvJFV4XOFNaQLUsYY3U2jFFvPed3tRx+2q5SCHlr2PzDtvh3LMMUoXYJ4UDb3A0FjpnaOkZ7ylrBmNSR+IEFDz/7587ERVJPErp4XcFVnQlOAcbrGd3ZGxs3/UC3bFj3H51pKxxANVwKTo75ps0bEwETARMBEwETARMBE4EFFAGyCJH6cO8G6HP6COAKffJQPoARzKgB44q3jkALn/7lOnCfBRg9jNGBGWt3bTj92F0rhUO+FvnW0zv++sr+nZ+fpvQiDPMqjtI2YMytupij3F7IklaJ0h7G6B8wak0jFzJSxgX06zNTMREQWaB2Mwklo3nceEHeNIwK5GFNcUWKNlAxkiUlL7OMFUmDL/2QBRGjE5aSg6w5nu6T13Pppbb3CirHro6+cYc00QYEhGRt+4rsQD6di7PdoQZ3UDj7SHjuEGGlcR3/CZFivz34ifOkyRkBHkvVVrVMWgMZnmGZV6MaGRnouz3iSZSeV0Ofp4Mda6mshXx2sjDyRfGPVmUV0zpSljTtvL9x292Nm/63ccuPW6Of7/5qEx8JbAQ5VqR3Zaxr3v2QLlTYsPbfRf0oCka2hDn3OvFnZOPJj7bli0gWGXBZclfmmoaN/2PBw/X/KXY2ImIUrqjsXag2yVuqTaZ3piytX/0dWtav/rbYxOjk6NKEwc7peYw1T39UZtgmAiYCJgImAiYCJgImAjMXgZGhEUQ++iau5FK9lxoH04Fju7OjdmRmJnN7W3V8X47WIuIrDSe8qhWMDh2jJER7Nio30vj953ZfPW9VYqS90EVOzK++nFeNdwy3zB4RI1nSHsbosH0xUsaZ++pNzyYC4RMBTGFYhaiTMC1KPCoo0hu6vkAT5CosRNeu1tddb68obeK5BnJE2Ka2wO5sHzVzsTWNeEmTBu78CHkhF+I4jJH9QNea3HF7WeaijXUduKIwIx4DMR6vDlnDeTDEMLxWb69m4fA2eHYzMRSx4oVRsaJMOaOMvHWSo03lxnD4BoOPAarTmbqiNfql1ugXOk8vAY4Fb28+DR6Bga5Gh6jP1vJ5vE7Kk13l4qQMYWtY/18auHm9diS866rJFj9lMVbOIKG4lyKNyR92nl6qajAmkSLdX/NV8GHMwqcM0jHTQPJF6CLJzmIhjSV05+nFDau/refbuO2n3fkRFmZUpFGlTp+RHOrSU22xr3ekLpMTFU0Nh/nOQkjNJWY0AiODt5zOVjN6LdO5iYCJgImAiYCJwDyKACodKx8wrYR7WN+Rc8d38IuzKBgV6Ct//sFNMMMPX9hLwpoARi/G6JAyCma8WLv41Uja79mcalFHACMKxvO13EJSrVG6enGvcnvBTrry/FcVYipt+UpXeKSMVsa0X9JIt0bK6PutmSMmAvMuAvwtQ5Omxd6FuUvx2JRip6iPPGhSa3F+8RsZFrrC3MqLORU1VZLGaw8DmodYkSMXz1U4NY3OTtqaBY2ycAXq3Nk4xH33rQGAId0604Exf6F+BepKX1cXMrVp7EyjDvFCc96MRG/YMjngXvbZaB1Jmfer2JzzMS+8AYgucdAlps8hViz1CQHO0Z3pK1uinm059HTLwT+0RD7esv/R5v2/x3BkxH3Tp7k5EFIExmYN29UXFWAsTwKygXC70j6rWfw1OBvR7s79EoYGcuy5uLd+3fexO+ktiXdVZ7cde7nt2EtK1KeYG/Yo5FZ7ajDOuZxvsLfVH10EMzqmbMkXoYvoNpMlMxrpJubRcW/Urfh7jRnRZ/ZePqIwoygYhS7iNK0stpVcU2gqck0uF1L0TSMTAX8RGGivcvHLVP5WVIoYNMU8/UXJHDMRMBEwETARuDMj0FTfeS5N7p3Zyosb/QqHujp6Yw/mHt2ViRbo4PaMR+8Sk+j3nt3NKQEZoy1rLKg9oRSP7z23R/PGYgGMtUXnryNWfE55wRzelVWYp9xekDKeU6bS54CNGjOK84tgxtHCjP5rM1Kj7M78Bs2sTQQWRgQodagr7AHWpj4jUmj1sqatT4BU4EF9JDutBDmc36vc7OoDEhYX1lLe0B6Dzphm+bKLNNofOXc036urtkrXOj+a3D5aSlljL9TASHnEE7H2dMS601ERmQW5Uh+SnGivbl0umTISdK/jYfuW7wjtKI+oNEfV3w7p6iRBMwsCzj4/CdSbzjKYYTud+T4w27Rl2MNeKKXoEj/fBBgON9H9Fan9JNtWZeAc7a4911+b467Pp83AjUL3jcsDzUVYabQe+ZOii09BFzHzbd73u+Z9v23e80hH4qL5Hp+5Gv9Y0xOP0YmkCQtnk6qYxbGC15Z+vfurza6aTHSAuu5iX3EcdLFp+72umq842LDhv4VA7nlYYTfF3DA9sSyVE+bcTNnHJtsrOdpOCWfWauJCVnVuOMUn0/uK41ujniEIghmX/i37kEmhqXykAaNM1nK06Tf2Q3P1a14A1x10U23ArkPbV3RC77MY3h4x1mML4As2UzARMBEwETARmHwEyDXjJk7f0+G3wk03+34LfHHjnJF0JSYyF4UhbiyxB/NfekQcW/7w87W7N6aOMkZfKaNSM6bFXqIxPi8YNwhjFFnjde7ZV74bzfElrx3KSi0+tP3s5uXxezamJscUSMY0gPFcBWpGkTLi/OIpzOgQNJb5qhkZSe9N1+QjYs40ETARmLsIgOZYglgfpmsIgCnWGXqj1qJGWCwgLHpaJsfC4td2GXDHgtPV3qOHgSCQUbHajCtNJEmZco5BMrInOi/cZ7h0RWlj5Laz21cnR6xN3rnu9K7PU6J2ZlEXF/LmtdyRHE17eN1ELzT77auvNfGAidHaG3Y8SEZvdnkv4MSfR2B8WYR39sd5B11xZMRVmiCanOLYEZcFyUkjtanjuDs4aDTt+jXyxeaDTzUfeKL5wOPN+3/XvAe6+Jvm3Q+jK4NS3kHxnKapIiwcq+tzAEbN2SpS2078GarWfuwFqUA46u3yVcfJdzjelfaJAMbq7J7zu+tX/gtHOpIX4wgjoj5xVYa5JfXXXZim8U6yG59peuiiyBdBizZd1MnRZIVrupgqlScr0yX7m60qgxTp+rXfF8a4+G+ArigbXWVJnskiekwSWntt7qtNTjJM5rS5j8BIP5rYK9HumqwRt1RdHhkeGGwt05iRJy+GMc79V2RGYCJgImAiYCIwRxEgVVDfZdtu0YhJLl+o1rd7lWVNzjJZ1CgjQzAnowxVIbfPAMDzmeXrPorRBi5v/zEi41QRMhsrXdqTNC21Fi9eJ0V654bTgMRXH/1CoUVJmuY4rjEcxGB62RuRvLJvb4te3JeZVCSYUTm/CGnM8tRm9JDGIDbTRso4R78pc1kTgSlFgLWF9YdU2Sn14jgZ2Zs2i9FrHQUMtUIbVMUqAaATxuijlsSwGA5ZWdqoe2JZC31UcD8aj4siHWMMtsvY6I1hb1uZuH11EoARBePODSm7N5xmaqj7EH47z9dAUjNV5/Ew3OffAqYGj4X3ghCDCxT514rGdsZ6GE4n+JD4ER7YevaTtw6zsaN/k8FPCZNPuXe+TZGxgb6h/u4hV9dwXxvixuHepuGbDcNddYOd18kTHGwvH2gpG2gp7oh/p2n/77Aqbj74BwGMJEcjX9z9iKaLzbt+3ZnwfpjMax4No78uzwEYxxZg9ORHN276Ico9YW7VmeLkIgrGr9jwQKlb/k1xeFEKRtgj2dNC3j79R2CvBzBKTULKPM5tTMa62Gi6yKsjOdq2zLawqiSGy2YBRo+DNhUmy5IaN/9IM0ZeqdDYmbLMM9lkHF7cDYVzO1lz9fkbgcHWa9DFgYYCrykM9bXL3+mVaP4AgY5en5q3JgImAiYCJgImAgs+Atypcb/GBrjzKm/VcqOL+1Y+4hab21UdCm780f9QYJ+7Qi1i1F7SiUfPv/iwSBmfuGf1jjXJl/KUdYuDNKJUpFbYy7/dSpt1H8fwVllOX0eg+OLDmzVRfPGhTdtWJuzdnIYYkmqNQMuXfrPlYtY1qcqYWyXmL2DGbFWeUQozjqoZgzBGI2Vc8L9hM8EFFgENkVh2/FZpmMpkWeJY0GBZXhI41jqOk43rVXCOATAMFit9UeAkT2G8zg00Hs3NbvlAy0Dtxz3OGoh3DOruL1Yl7gAwfp688/OUXRvFNUOPv+G6JTYjgLrmJNUgx+12zhugVKTyRujfNZSVf4Pmo3M0OBGu+NdXDtgbb+cLYxxoLubGOcRfCyYaLVF/UoDxyeb9yBcfVdpFBRh3/RrA2HLgsRC7Ms10BEhbdtBFBdwsRZ8uwCj50a7yJPKg69d8V6oOAhhrNGDM7i2MBK+17PutwEYspGuyJHv6ekZzxP0c7zm/y5Yv9pXPsQuPu6V07DRtwKiEi1IyUeWDq5RwyQofI19UCkZJhba3jN4rx+tX/jMzbd71IJNtjX5RJiv50eRWp8x5Mrj5ec/fCPQL1U/2K1PkEQzybxE31ubM3wmakZsImAiYCJgImAhMNAJIYrRBKnfWSEf8+o0iv6FAGQ3YEORgfIDUh5s73A3QmVzNrxERo+gYq7JSSqJ3Z614+4iWIL7x5JexUfnAPb2h/IENvvenPYDEx+5aRW+aLqJsXPtRDAep5bhnU+olaV+NeFKdVY0YMjX2Enf9l3KrpDAjr2BGdUWuKy4wGjPi92pVZfSTKw0jZcMdILgwZqLRM+1NBEwEZigC5UWy5oSiUoNKOfXV444HlkXPfnV9eFrxETnIzk5Y8fAsRpLNQbgiDViCnA0C7TMqYCDtJ61gRDq+cWncp+8cWfle9LZVidcrW7Qocc2iYwIY1yRpBePRXdl6DHqhZpVmaWWVDjTNQAOeR8fb26Qc5XxUp+/fmm6jRXuHg/Mi+KSXiianMm2wo+r2iH9rJHsibSdebY36U/MhFIzkRz/WvO/3Ahh3Pdy86yHoIqin5cCjdmOzE0oEBtorx5I3h6JPnJQVYCxLgqE1bvwh8JAMTRswtkY/z/HurzYpNWM2jBEFIxASDsxxRH14T+v8aOpnhjKYGWojEJW5SKlP54ZWM0E2S7goec1CCMXbRcyj/ckXNWDE2EW8XSQ9fOk3+opjunO+FCWkBzC6W8pmaCKm2wUeAf5vYGhQ5IuBf0JovPuKYoQx1s9xzYEF/l2Y6ZkImAiYCJgIhFME0OrgF4CYx69btHOkeByA8rinozYjAp6cM2VabQKy0zrG89nXTuw/F707mwJZCUfOv/7oF1qR+M4zEVs+iT+6M4vXP//OOrh60bHM5CJJmr5Qcyq64NGfrKTx3k1Sv3GULsIYL2g4acFGwYx5VWzCGLWUMQBj1ETR95WznGYNzgmafRMBE4EwiQAPPnSNRIhZZWkTblOUT4SbsVxQHpY/f9YiHiiwcLEWsSixha4B04nGXtnE9sS5HL3ZzsvYuHDd3DOltVUttGHBZGBc3W4fZAc8SFdUmg3SJvhHG5bELX8zikc2n713dPUHx7avSaI9623MwdwtKxAxCmA8HJHVUNeh+2FxozikDgiRcfplB7/QvPsU6ss0sZmedyPn27S5or2DiHFeTIR8QBeERzullsRi5jLSb+U1+I6/K32VKBilACMKRvKjNWC06CKAsTPhPd+zzJEgEfDxPfFKkVaAsSKtfvV3lFV0nMqP1grGrPpV/0bFxf7qDG34wkfoG4FvHfFvC3jMXAem0zUJUV4FGcNMf+RPvuiZ5qhndFJr7OuNm37Q/dVGZexCcjTCRb1RgFHnR0sNRs92prdgP9PsylitUKRVahLXbCNfnOkvdEH2j4MVFlcUi2AxHO5pCjLH4d5mXY/RfcNk4geJk/nIRMBEwETARGChRcArJTDQ9Hheh6CI+1Y2MKDdDMZYXdZ06tiFwzszcZdOOJIfvTf72J5zG5fFPf/rTRoz2q9oF1e9Hw2BhBbCD0l8fkVlTHP7DF28KlCxGlWkXcJR73Av+dm7R996asezD6x/4u5Vb/5hO+mB3OYLZhzLGD3u0iJZDLQZKaP93ZkdE4Fwi0BrU7cW/mlQFuIrIsPQ9cm6juItlx9zap6bQPBY4ljrbtR3FuZWQxRJi7Ybs3AxpHGTcykdqUeun2gwtk6HD3WIMV/y+qHlb0RBn1j9WDbXfHicE2GeOvOakdyo6wC1dXf1wRLhrvqKPAOCvI07whDHEJ7NelWeO3EIz+HZo6oobeJb0yCRHd76BYwctE8J/x1uqN11ubZZan/VGQow+tYZQzaGwwuAsSVSF2D8rVWAUckXAYwLwOQFTAe56kh4DzUmGzu8dddYiuLp/SqH3H1jRX1a4KdNTzwW0uWC2tqOvQRMaz3xqji8qAKM3Tnb5MiRZyy6SN60BRjPtOx7hI/QWWnACJGb3mFPqDd/c3SoNAUwYssi5iwNa/+dYbM17fhl78W9CjCCFrXDixdgFCljb0kMjfmCnIBxsJPfrfnPRGCCERgalJqlouVOxwlruGucf4aGe270FR2jPVhyglcyzU0ETARMBEwETATuiAggJeI21ks6wh1uSlwhgJEtPirvbOKVjMQrZxMvx0flb1kev/ytqL88uWPRS/vWfnw8akdGbGQut8A6b5oEQNjjC7/edD67UukVlVjR8oW5LoKlvGp0O3/42RqNKJ/8+ZrnHtio95//9eakaDymRxmjw11aEqX15hczGinjHfFjNZOcVxEgp9iuxgDTq7veDuJDTEh1QagjGkXcn7va+yjWx4JDKUXYGhgNRSL4jnNDfFBCSOiHRQwxpN9SikNDQ2gmaaAeppTgKuWsTNtULy7S4+ZuMx50j4ycyzEwljtmBBuc0Bey5LVDyxRg1FnSCL/t05kCRS1svSJDYgPMMjBf0MoRnqoQT/v0+b6jM+gx+A7ziaz9MMaWKbIDY5zXKdJjoo1Zans5+jGPoDF+oOkKkh5nm660FS2HFGA8oBxexD/aUjDOd/kicycHHEzqd+MjGjhDMfV9d+MVf4BRlyXUZsopeJcA2XovRQl8W/L1rqzPNWBsiXyMI70X93nyowGMUoCx90p03YpvNqz/L/keJd04yd16bepDnXQP7oaCsXO06SLTBKLa00zpLYlrPfpczbK/0zNlghRaVP7RTgWjXYbxTGfKclp2pX0mgFGZZc8tSp10iMyJ4RAB0S6SsK+03KGkPw921enGQfKpw2FeZgwmAiYCJgImAiYCcxIB6ihyJ+tMqUbzQ9oy97Z5mWUoG8WBRVdlVIUZc9JKU+MKETSe2J+TcDifV7SO3NpfzqtOOlGgqzWeOJBzOU8qNJ6KPk/aoy1fBDByiw1OpBkaHu73OcKWlnB5zYcx1Gx88p7VsZF50EKpx3iuAlfr81nXuJH31GMst51fuBP3JY1gUt+b8TmJqrmoicAdHgFMSXQRBpYXnmIA6GY0IIiuuRBeIb6FZ0Ga6CH5lAWn8lqTVwN4Zn6mFIuAeQYfodttFanTNIx1aaLFGFn0RMSos6TfPYp5tPOKwFXWW0bCRufYu/gCTNoAS3mgQxvU3c7T5+k+/9zAFfWsKacZ5rNw0kW9Dyf3EjHyNvQE/zCc74irw91w0VUidgZs7pqswZsNepwj7p6u1OUoGPFzad73W2XyIoARujjivhmGcwlxSJA6v1zR6yBqxhA7DKUZZGwsfEPBqCoT6sRhZabcJ5nCEDZVchB76GXf6Eha1F+RVrfi76GInuRoCjBa+dFN2+8V7HaWxGEraxgNYSiDmYk2g72tYyfoyYwu9ZReVHPsytrYcvCJnqITTLbn8pHm/b+rWfw1ZoFBduuxl+CQjhRpD2CsTG+K+IWkjV8+aqPUwd62mZiF6fMOiQDVIeTnyqJXFMNCN+6sqVurV8jB9spxG5sGJgImAiYCJgImAndOBLiB5aabmzsURPasEcaQRQhd7L0pt3vtrd0k62nMqLif8MactBKyp8GMx/dlZyYVUQCN1OZXH5eSjCvePiyVFfOrUuIKTkTmno4tULnSAhK1vvHpX6w7FX2BbDhlCiOvGjNiM83pCBqhiIU5YjTDhVBCgilwlxbSiO2L3jJGSaMXZkT0aLtj2zMyOyYCJgKzFgGQEbo7jYx4voA9/SxcGlWhVkvCEkFz5C+TdVtb3coaokfCQ5Dem/1eI7nR0Hn+q4qrBdWMk2YsSmgUUVQCG6m4iPTRqz1vtXEMK6ReHn0bBDlCRu2GxXFaxLjlk5Negj3NY3llDMTQqx+ALdUj7ahyLmjUq838eotgld+JLdocV0QaDrPzBYyMCpyIjhGuyMbOvKaLdpDxOxjsvE66tL6JJnNwoKV4ZPAWDSBjncmLWw493XLwyc7ED+Z7ZnSIdFHDRqJhh2gqO+JIO8b0RNHFUgR+iX2jicMpfTpHWAyUM9pUcUXIW/3a7/PaEfe6Bowu/KOrM3sLoyC9HG/eeZ9H1JdESvVUBjnFc1012WPnaMsXlUe2To6uSGne+SuG3XL0T0y2rzKdrSd/d9P2n3OQDbfozsRFUEQLMwpuTSczWs30fjmu5Iv9dblTHK053URgyNWhH6xQHDWUaAy0Xuu7chw1YyiNTRsTARMBEwETAROBOyQCpArqO1b7VhqFDNpFHEudd0nIAhHtcOeLpFBIo4J+YgGzKxsXmGO7s0+fKNi8/CR4kJqKJBICJOGTxw+cI3saTogsB4SIeQEN2I7uzsIoQQCjvcEYFWZc8dZhabAzi1JpomPUmNEBGGGM9hZEzYhiykgZ75DfsJlmWEWA2oa6qiELC9LlWYZgrFqIGHkMoZc1/cqKRGq2V5R4pHLpQg0f0Rg3Z94WeGoe2uf6mhp3dfRpN2fn8ujV8+TeQhSx0+LSAwPDXj1wLTukNGB9Jj8aWeagT0uvE8PwLUJWHgAhwnR+R/zLYrvwhD5mwnJg61kKWrKxM+3fiN+ReIkVyZj222whHUTMM9B81YW4biHWHCPx2UumOO7bacmVHid32JIvkiItzA0Fo6sqE4rYlbGmYf1/avJWs/T/NG76fy2RjzfveaRx2901S78uOG7t98intuWLA5iDz9F/PvJFTVDRLnrkiwBG2GBFCkpFRt59ca+ii2f6oKlMuepMd9bGho3/oyfbsPrbbdEvcKQre3Pzgd+jXcTgRuSLii6SCW7ki3P0PS+0yw71TswnOhSt40KLkZmPiYCJgImAiYCJQNAIcN/NHSvJyHarqxevZ6UWUw3MPmLv4G4AKlRiwgqyoaMiMsmP5m735OG8nZ8n6+TowxGZIj7MqcLt5Vy63C+TOq3LM76szF/gh0/cs3rHmmSEi8UFdWpTpFEBxpgDOTRY/UE0N9SXcqUTutK2LypdWksZK+zajCJotNSM3hnTRspof3Fmx0Rg1iKAepC/enTRc2h5zMMFO9eYsgle2dnkNVeUNiJBZO1ihWlv67EbIB1EuAii5AkFSsW+HrczbsBSnWqNMNJ5fLr2uS6hs8Xk1JOkPqStwOQjFkMe9LBEk0CtglxSfS2Y3+V0DWzq/RBJfhgYfmnBPINng+6WXa2n+OQk+gcnwhWdekLezgJjRINql2Fkh7eTGPw8OmVkwEUCIPX9tKnBYGvZPBp8KEPtCFx3MRBppB5jKD0HbyPlB0cVjA5pHwpGIW8avqWOMjcFGFEkUmixI3VZ45af1Cz9hkUaldKP6oWtJ15xlSXZKcNcYg4tlX0SwB1zZO6eObpKTwkXXfM9j0BRAKPNGDnYmbKkfvV3x8yU+S79u+7sTTZdpJpl8GibT00EnBEY6mtHns1qhkvLcK/3v+bGJ9oZK7NvImAiYCJgImAiMNEIcDfNjR530/pE7q95CxgMpDvizv16eUtWasmhHZmHdmRkAieVrHH3xhR8Wxb/OVIKJ7LBGHMruXkvhBNSnjG/OkrJF1/53bYT+3Kee3ADFPEvf9iOdwxJfxZjBDAW1HLjzEevP/YFWFIxxmrEkNRyhDF6MCP6yQoUL3DOUcwojNEbMOrUaSNlnOhPwrQ3EZhiBGB6TheVKfY2idPRS7OOsRD5DgObZtYKVIgAxnPpJWRGKxFj2bWr9V440eu6aLy1xNFeLb0aTP2ty+XWztRIE8GzGmYyETTbvPWq94jkT6d1s4RO/dIz1wMwVuNQJqI3lnSyoW2OOrlLLxxrlcnNf4bPUlzxmp0fjXaR/QFKjQ3P76x8r7BRujAQRQx+nBO9uprQ24GuxjF0EXWo6Pqc0r5kpH3i8FKh5YsZcEVEjKrWIgnRWWQfu6rSu/N3dpxejKyxJ39nX3GcMDrqOmpRX1lSf/2FCY1qGhsPdtY6Joh20U4A98xRSTRd4pGdUvfpP9av+jcZvAg1kS96M0Zsbroz1jbvfKBhw//FbFr8Xy5H2XQRVjmHdSanMWimq1mIADix3+NjpYs/yGuJGFrdHhmtiDJ8s8H4RM/C12EuYSJgImAiYCKwICOAtpCbPq01Qsajb2mdhi9+Z82NLUrFk4fzBfFJdUTZ0uMvZyUXg/64ec84dUUYY04l95LCCfOq33pqB+QwcttZhIsF2ZUr3zvKW0SPWz9LuJpfY2dMZyaXcPzdZ3ZxcAxjdGJGajNKmrYHM6qkaaVj9M8YGWFjbYffiZiDJgImAgsvAppoeSEsSjKyEAnjSsUepQzG1dbaA1REwYjzi15PqDcbKBpwRc4NZFQd6KyJHufJDm41SCs1i0O+CEj0Kcdo9Uo5CzApLSeRXzzRgU26PRpLRsiMCCAPsKarcoVXqrKWMiJinPQ4zYlEQLKhW0pdpOUqexde4T/ofOCNCzI+E6q+6ESOnDiVgPTX5Tn4my9dFPki8I023bnbOtNWdOfu4EshRZoNNall6WIZu2RSnlFxOehiGkxSzKOlvOGpwc65efSAbNJHvmjnR3uqL4rDdUpf0QkIavPOB8mStgCjzRgFM0o9RuiizF1eoZECJD1oUTyymam7qWgq34U5986JgNiyFB1jWeOPiGWNWgcDzcX9/BTVctdfme5c6ASSq+MUWrxzQmRmaiJgImAiYCJgIjD1CGgLaS2boS6WvoMO3i34Uet/yksbrXKIWde0A4u8zSqjNiPZ0+kJl0V5SJpzrgDGp+9di0k0R1RmtCRHJxzJf/HhzeDEVx/9AltqxRjrYiJzObJm0TGxfRHpY03hucpje7PXfhSD4yoySGihlTStMKMlZRx1fvHPGFEzUu/xlmtMwmPwaZpPTQRMBGYnAugMqcvXUNtOFm1wGWGI4wEespTZFRQRBJLKyhEhXWdKWcH8WKh04XktflK9Pd5GMFyUrjiXggzTxccCTQS9nx4nqu9QEn55dMJqHM6JutTkxJ7GN+CBIuA83tnWE7Uza9X70TyQOvhFhjMgfgEjB52nm/0QIzDU302qoFPYg2/LQNNVbFVD7GGeNsP82okNQ9/nxElPGf42li5qwGiTN+hiMgyt6+yq+k//yU4Nxj+6ace9HSlL5VNFGqUqo2wZIvzDG8WiiymKLgqinPQIp3iiu6XUMUEtX+RVaRdJAC8/JWCwIqUjdbn4RB9/pTv3SwpIdqQsUaSU6cBLRc2o0sNhjGld57a0xr7WfPDx5sjHWo+/jOu0RouSZl6RModp4FMMlDl9NiMgJtEA7dIE1Ile1x3ua2PFE5xYEofPi/3pYEe1ZoyQSfug2TERMBEwETARMBEwEQgeAfL+rl9rxlYA41RubLlXxdkzyCkIbCQvL7UYLQrNqMpIpURdBVHDxuSYgoPbz+L8gogI+Y0UY8ytQr4CNsQeGmwIYIT16eqLmE1DDh/9ycrH7lqJwTRW1B+/coCW+7ekXT0v1tIpsYXP3reeI/ZGJxFrkxVmFI9pbTfDW64eRMSo06WNlDHIN2s+MhGY/Qi0NffoZxyaqulXKN8UJXngLFTZQ0NixExXdq4x1yINOdA0wVlcuqSw1qsBXIuBKdvoYGuj11mTewsLxQvbN7M7SG81Va0ssM51G2XjFAMY5HIz9BFMmMKYlOy42WWJ5ajNuO7jmE/fOYIucfkbUUteP/Tpu0dsxmhSpKf+RYwMD0ARbQEPt9I4uQzcKOR2e+qdz4seWg48GjpUdLbkxElPcGz6sEe+KM7RirzBDytSOlOWabRYv/JbDRv+u37Nd5ykEVeXrsx1rqo0Xa5QgTitXUwR+SIEr/SU+0bhpEc4lRMFnzKR0fKSSrtIDjiA8VqCPUfAYGvcG/jUMK/6lf+KL3b9mu+CDYWdCjIVagpa7C1NbI17s2n/75v2/LZx9yONux5u3PXrxp0PtBx9rrfoBHbb7payqYzWnHunRGBkiD8rljg8XPxPeXjAXZMla2BZ0sjQoN1moK3MYoyd3v9jYLcxOyYCJgImAiYCJgImAn4jcK2ogZto6iv6/dQ+iPkLzXAZsI+wg7xHM0b45MEvzkZuT0e+iByIGmgiYsypSo27BCGkAKMFGC3GqDFjbfKJC68o/5eXHtkCaXzq3rUkXMMhOc4+J77//J5D2zPwnt60NP6Pv1rHEeo3ZiYV0bPNGJWU8ZqCnGXUWPO7acxopIzO787smwjMSQQAfTx60ESRv1YKCeKMXH2tGeVetkr7tfWHkx5e701PTrTSLrJW8DwleG8sg6wkztxqYJ0udYjGMvi5c/UpxtaEESzJANAKEkneshTfuhWO5fKGBoeAhAgvtWzeDhoLvv4x8Ir5OHD42L7sle9Hf/buUXSJn7x5eBmM8bVDB7ad1afQiZeIkbc2frS7NTtBIjDiatf3zn3Fse76/OHeptuBsvGD9DKfP5pRwEhssYNxYkneusqT+qsyHPzNS74o2kXEVPWrvyOivvi3JSlYsoYzei4f6Uh4t3HTD23SWL/yn1ujnu7OiwDESWa0Izm6rzQRE+c5+Wb8uGNLhUm2RHigUleq5GhGW5nGpJr3PGzPiBKLHFHVJgGMZHyfbRO6+GjTnt817XmkafdDjbsehC427vhV445ftkQ9S5s5maO5aDhGYDBYGYeB9nL+Hnl6EmzkI0NaxT3QUOBshrpb1smiY7JCmv9MBEwETARMBEwETAQmEgFEicET2bh94+7vXFopN91eHXMvj0Po8X3nDmxNJ82ZjGkhfvi/iIhRpIbPPrCeFGkQn5MxKimjYEZSoTctjdM+1KRCc5z7TQSNKFg+e/cIn3IWr2yUSuNGEsb4p/vXcxONlYzqn2tViu1LpkfKOOoubdtMWxJHaAYDmzq+8IqAeWsiYCIQYgTIg+bPkMWEpGOM7L2oBssLf6F8CnIMsUOvZlCsytIm1gc6wcOF1UPpDwPegIy6SDd0cun6GuvenH5Yu+hEV6n1uop+y5rZe7OfxRMNntZ1+202owepQcFkqQ/JUNlwaoY3BjLqmtGRBOmcQLHq8k+AHiSvuGbbkQfqEj1+DCz7fMQ/ARuXxa/+4NjK96I/feeoiBjfVCLGd0aToPn3CB0j/xywsWPoYpDg+/0IpWJ/zVfDXXVOdwO/LRfqwRlKkR5x3/RCizZmbIy4r2nvw72XjyjGqMnbWN8Tcofj34K5tR56WiAbpidSYnF06y2MbDv+ktNYGd+TtuOv9Fw6oksvohKksOGcfGWYrTjYqUe7aPnXiK5SUpspvaj8a1R9RcVO83c2brtbY0aywrGtkYqLVWe6crY1Rz7eDGDc95um3Y80Ke1i4477Grf/snH7vQ3bft5TEDkn0zQXDbcIKN/nGNSGgQY20HABSIh5dKAG+jjFIkijlpYuSdGy/xtoutxfmTYy6H3jYzcwOyYCJgImAiYCJgImApOIAJISbZ0QCM21NnXHHszFxgUBEtwAMSHE71xqSXxUHuDxwxf3QgW3fJKAbIn7/auIGD06xiIxkiZvuo5KjB+8sLcwt5J9zR41aVSNr8tZagMzrv9rLL199NI+esOr2iNl1LYvWscoA/DaGJVWWupX+oGLTiIU5hQTAROBSUcAuqhzlhFC6yxm365wTNaWzU4xoW8zv0fgVPyla4qFnzWcjYWrvMi77JJ9LmBKpRjLvQOo8Hz2NYSU+lPWH/opu1pvNwaIkb9MAjLwk1VLL4n6WryeSy/18nq2T5yhnZGhEXyx7WEwAAbmdo9meM3QdSfRrS6MSZRYtKn3q8ktr16/ATikFmFSiXfNh8dXfXBsVMT4etRn7x2dxKXNKSYCfiMwQyYvHWOFizZdZKfxy583bP4RejwPYIQuqsRhbFlU6UUki41b76LiIscVXVTGyjZm1B4oYrWc3p2zteXA43Wf/oNGcxQqFMCISrA00d14xe98Z/qgt3mN0x1byxe1t4uSL/aJjYsCpxhkV2d2Zaxr+Py/9VzICu/O/Lwt/q2m/Y837f9d497fSGZ0xIMNO+5r2PHLBujilz9r2P7zzsRFMz0j0/+8iMBAe5WIDK9EUzXR74D7q87wKSZWfj91HkTLTUu8rpwH2XfmTXt9ZN6aCJgImAiYCJgImAhMLgLcdHNvCMrjBtC3B6Q+WpJUXlKPlBGCB9zLSC46vDOTLeZA7v4tZ0h/RqO4fU0SJRw1Kiy6eF1jRo6wr72keVWbRR3loEKR8nqxFtjIuSh2nn9wA4wROSWFHLljFR1jTuV5XZXRY2wN4RRZo705kKOHNJYF4qW+czRHTARMBKYeAbgiKwnsDjgWpDcsnnWzIG28PgJdkl3LWWysCbqSIa+8xdjFq7H9lkKyNCA1m4WtBQUjpvOqMfUiOI4AknxenJ1ZfGxuyXG9IYykEARADK/kpvpOspW9cJl9lWnfoVpjbVWLXV5SjyfcVIv2rBmYHiEaRX2QaLO2c9B3BYbiElik7FToXb3oGCYvijFKlnTkF1aKtN2z2TERmHQEsGN20r/Q9zkx0EWhE0H6adjyEwBjw+Yfd6Z+0mfxN9veRaovAhhR8TVs/B8PXdTaRQ9mFD8XoYtirMyG03TpKWymIY1CF5EIkolcmuilvwo01Ok9TlK2t3xRMqOVPlNXmCwjOTpZZXOnkR+tU78tnxrLtuZMZ/LHlGTUmLFu9bcbd97ftM8GjPeTGd2w/RdCF7f9rDHigZbIJ6Z3Cqa3+RuBwdZrCjBW+Z2CrjQ7MtDn91PnweGeG/SDzbTzoNk3ETARMBEwETARMBGY9gjgncodHzeD3Iz77VybtHJTrz/llhxpClYv1E5MOlZQoNxedm1IIUv6iXtWr/ngWGpMoTDG87XolCLWJT9+9+o3n9oBLeSWkwvtWJO8eXn8hiVx8QfzripHGJEy6g3AKMjx+gfP7QEwYkUNbCxkE8aoMKMwxgp7I+HR2jzUUTvCwD89gsYyI2X0+52agyYC0x4Bjfuoajiu0o8HGfyRshqEiOyESqWXskYhR7QpFuNvberioFfFP6956dKyoMW0+MsnDuRkp131ZYl0glAQzIgXCW7XWJD4Vorw6naG3gLrAJ56QWZUrLQoKhkS+76wbobGMNFuqWDJ8FjDnSfyzbJu8335clGKYZ4+UUCWtDBGlShNHvTqRcdNHrQzgGZ/6hEIojYMxAk5Jch1g3TYtONXii4KYCTtdwxglNxhCzA2rP528877xgJGMKNijKBFvQlgTBXASMYx1A66KIARupiAQ0qQ4c3cR66abAdgdGR/W3RRJshoVVXJNDHt5fi1RKk5qehiP47YGjOWJ7ee+DMG01bS9JrvNUb8qnHng2SXC2BEArrtnsYv723e/bABjDP3bc7HnoO43rvrJUV6sL18/HmNDNISu6vxW5oWJgImAiYCJgImAiYCU4iAvklHq+O3D9IYuXmkCJiWDOk27a3d0XuzonZkQAm4BdaM8eiurKd/IS4tuLe8/ceID57f++TP1/AWI+kty0+CHGMP5j35s9Ucsbdn7vucSoy56cIeRc1YKK+Xcquf/qX0k554GTyoGKPoGEfTpcGMXhumM9RphDfaskYlaFRSxjIqg3FvDkf1O0Fz0ETARGBaIqBRXpCShs6rwKNYWEL/q6RbwJQXuuzqEIFi8HKOqAFZVZJOFOzdkha5Lf1s4hWUgSwsJFazLADH8GgOrrd0Dnvm9sngpriiri3JpJBr2sANHsuYkZGHyGNnbpB+e0YUyoAbar1LYHW1y78d1z056fa55LlznPgf35+zST1sOrwzy56s3czsmAhMMQIwh0AgMdDx4Jgi0Fkcb9x2jw0YG7bcNRYw2vAtvSniF9hGBwaMaP8UXUTuOEoXFa9TgHGgvXKKMZnE6QNdjWPoojM5GpYI/BS6iIVNanfutubdD2Fho/lhzZKvN22/tzNtuUUawYySN30Gk+jGzT+qWfI30mzJ1xo2/kC8XSQ5+p6GbT+FNzbveogSmpMYqjllwUeAkoxszmmKdTu6xKozzoN+90cGXNKyMt3vp+agiYCJgImAiYCJgInAdEVAG5VyA+srNeHGFukgN4N24TJ90VuuATQ2OEEXnKsC69mMMfdM+ZZPTmo8CCFEu/jXl/efPJRP7nNeRqm2jV70wl4yqXesTdq+OunVR7/QzUiUE4mjAMa67WuSOfjOM7tgktxlk96IwQE6xkswRkvKqAWN9qsQTgs5ejCjljLaOkYYIxMJJNGcrkiafkwE7uQIaCMSFodQgkDdAxYW2wcklFN821C9gaqw/O37fuQ8gqt1XmbZ2aQrtZUtnOL8KBz2AXGIJ4mG3uC0zqc5eoSwUJBs6Dx2NuelQaJfsEzKPGuvV+UNnbdOlvpsDtJc686MwIQqMQIfgkcpCGBs2PJjD2D8iQMw2vxNqfsq0rrOroaqdeftUIzRK0UaBaOmi6nkUytqp7SLQDxFF1Ew4rQSfIQz8Sm6xDGA0U6OtuiirjCZ3Lz3Ic0VESjWr/q3uhV/X7P4a9aRFX/fmfaZtpCmNmNf1RmKTOIZTTMaYOnSuP1XDV/i7fKzxu2/QL7YvOvXyCBnYi6mz3kdgSFXhxi1FMUM9bbZE8Gfpa84hj/e4a4xKnq7gb0jp1+Jdtfl20fMjomAiYCJgImAiYCJwAxFgKQ87m3Bcc70Q65VW93KcZIHvZQz3DByUw9jpLY/bqHCGNEQeqSMMQfyDu3ISI27RIcoha7mV8MJt69KAhu+9fTOU8fPn4o+n3emjOJmJYV1KbGFn7x5mPqNbB+9tH/xqwdItabl4R1Z3JzajDEzpRgB5IEt6Ts/P5107IIIGp2b8oLRltYgTfK1rfKMlvOLiBj1htgpPG/SZ+ibNd2aCMxaBPiTZLnwV8bVewgsIDrl2fuDib/HUoSLYoYS6NTOtp787Gs8QCm+XBeozVwdB8bqqpVMgScsFKOAhc7VYCZ93YGBYYSXXinSujfNHr3+WcEyjPmGbcb3pONgTgzPCITIGMeli8wuEGCU4oFSfVFvP2nYioJR1Scc9VZO7S3YX7/me5hEI+qrX/2d3uJYLecbmx89Vr5IbrVAPAsw9s8FGEEz6aCLyjzaWXpRZ3+Xp7QeeQZU2LjxB50pS8XqWjm8QEQ7khY1bv6hxowtB/+gcqgzxAKmIg0zbgxxIIoUY/TkR/9M5Iu7kS++H56/JTOqWYpA4P+NcNfl8qfqKomFFtqDGey8zkEwY/BKjP21OTSjsX2i2TERMBEwETARMBEwEZi5CJC2huUB4hn7Etzq6nw9v8lrHAQwctuO+QJJ1uQvq9KIghljInOj92ZDFwvzqkhwphJjWvylvzz5Jdhw+6pEKivyFqWi1iuCGdko1bVpadzbT+/ELIZm7z+3h9tVbfsCisQFgDxrjtsbvcEb6VxvFmzMqdq9PoU2T/18TWZSkTBGTzFGGzCyY6SM9ldsdkwEpjEC/O2jJwwl3RgHExATbG3qV+d5AQ84/DJGko7Li26wtlAWkvRqr6ckJEczjKkPYNI9cAtFxBg5QeNJjVf296S7nZMTWcyZSO9Nl+/VWf+Zpn2cWWvxKpjRPmh2TARmNAIkPgcpn8hHwTOj7bEFAoxj86MBjHcLYLS8lRH4peB+0nr8Fc3Z9Gv92n/HTNlijFb1xQD50crbBVhHKqg9ktnZGRpwC94sgSvqLX5M6rdKjib9ufPUIiaFeU1fabwqI6ncamx37KrMjsQPapb9HW2aVP3Jvsp0tt6ShLbjrzSJhfT9yt7l5w0Rv9J0ccR9c3YmaK4ShhEYaCnrr8rA2tn/2EZG+qkICk4siXMWZtTw0IXKt8+7WIfuZ/hmA2cFsXDyfzlz1ETARMBEwETARMBEYAoRoFiZ8yZXZ+05kSMVz5zdX69skfzE7AoMEbjNp6YWd/rczh+OyDq+7xxpy4W5bFUZSUUnInN1NvTm5XEJR85zy6mLLirMKIARGWRJYf3hiEzwIHUa6VZKMhbUHt+bres6Us7xo5f3b/4knhTs11ViNcgxYm2yJFB7MGNmcpHOwt69MYVRacAojDGDbVTEaKSMzi/R7JsITFcEKpSYkEcVwTu8dWuAVQIedbPLD48Kfq7fT9EB8mdOh6w/jEFXa2RlYBnhIQjXarg+KnWgB4ouomaU+gmZ5SEmdPu97hQPavNlBskzmhC7Yn1mdl4ZxyGeO6PNKNXL0yiWYt8MdB5F8dXwrwNtMONGD89bnj3N6HhM5yYCvhGALaBmpLhfy4FH2djh7YSAg19K2bjjfo928UeSKL3lrub9v4cHWuJD5X4CYHRVJHdlrCH/t27ZNzRj5LXxy3s6U5e7ypIUlwuaH12eDO7zndSMHnG3lHrQogcwOvOjtXyxLLH+s3+q/+xbvUXHLZMaeKlNF6/rNPCMnvO76laIt0tnynKaoWDsUy42nZnrWo4+16gwY1v8eyYzeka/0PDvnHxnTFg8JHBED3j4Zv0Y2eHIEE7QijEmjEoWhwfAknLwyvGB5iLKLY5OdmSQI5JbXRJ3e/DW6HGzZyJgImAiYCJgImAiMIsR0HX4Uf7YhRmhiPo+0TmK8tJGbpDPZ13TpquYv6APTI+/fDqmANUKShWUjYW51dzmL/7zAeDhe3/anXHqCj7R0Ev4oQDGAkmUZjufWf5H5e2ya8PpEooxFtZhUY0ttT4rK/mqZFtfqOaV7dSxAg0ecQdQRwQzLnpxn24sJRlVMUarEqM/wAhm5FNUTM7pmH0TAROBSUdAu0jzlxikB4Ae5J+VZFrki/aFYHQIsLGnX/aXg8vfitr6ycmU2AL01dcrmpwIkZKPFEmgHiNPHFiFfEsd2h3Owo7kicM/z5SGci305CRQk0ZN6FCMh3LKLLdprBWra759+K3z0uhIgb18ZG+0mSuTbufA7pz9EXffiMtb1RNI53PnhGUSMwVf+IoYSXn2AEboIttPqTcoVRMtBWMydLGn4EDPpSjhb1VnAI8dp5c0fvkzPFA0aaRoYfO+33Znb6T0omza3kXnR9OJKsDobiicxICncgr1HsXABdozupH3rTaZ2qk+BRi70j5hFs37fjOWLipfbJUordOlee1MWUJLUKRUzKOu42idSXGxmRP/mqnEx5w7QxEYcnX1Fcfyt+auzeESVvoz1s8jDqPGkUG8WmgjRHrQwxJHRgaarijGCGYUsSL51O7acy7+gnhbkWIWvRn6yky3JgImAiYCJgImAqFEoOF6e3YqYqBR5Q8ls7hD5CbX6/TyEnE+BdZpFImUkWxEkKPKmK4QHaMwxqrE6POoEKmvuGFZHPnLUEEPY6wFJ17MqXzzD9vBg2RJF0n2dF326RI8pjmy8r1oPGIoxij1GKGLaod9KjGiV3z2vvWYv3A88ouzNH7yZ2twidXFGJEzBQeMWspYdqXeVGX0+k7NWxOByUUAH2RWibKr9X5LKLVTDlFJDbGDQS/tvASrB3/Uvd2eOwXnZyHsd7b3om1e91HMyvePrv7g6Nq/Ht+yIoHLOU9taepiXTp3phQUee1qHco6NHXOBqAwrzRq56czsc/iQ7iCzxoKqu25aYkaE78tJKAzMZip94lfmK7DiUARUfrlC9WAXIZtb5DGttYxX8rUL2p6CBKB4Z6mfigQt+r1F7yaofNBKeRuuHh7OEx/Tl4DDpO3viJGEqIdgPEnoEKLwkkBRrFXBqa1HHoattZ28h2PtE/8lHuvRLfFv9Ww4X80ZhT4tupfKWbYnR8hZwH3PNUX6RAr51mOgLuhQCVEx5P4bG1WYUlFFwUw4hyd0nb0OUZO6UULMIp20WtTIsZKOdi04xc07sLwBQWjBRilwiTnzvLszOXCOQLDfW0uxRgtikjic7+3GGAEySKYGsZYnnx7cFTcO9zbBJnECIaPrK0oZrC17Lbf/ykJ5yiYsZkImAiYCJgImAgsuAg4lT9MTqMDv/mP3CbDGLm1tGOAMvByXg2IT5u/cJtJ0vQXqxOf+sVaGON7z+4+sC2Nm01dZZGqjG88LhUan7h7dcapItSMyBoxm+bI+3/aDTwUuugxfJF9vV2s3bU+lTaxkbmgQm1dHbH2NMOYEGA0Ukb7WzM7JgJTjAAFGHk6AFASlNTcjf0HHbKSUHAP3ZoGTTwj8OJ4fIqQT581uQFE7z0HXVy/OGbD0rhNy+O3rDgJYOShhu4NfSMLiGRMp5MxXcJyxOXAjGwgRx6juFWFBwZALcTJDWByZ4E0WTn9+i/TIQiUWOmg6VdWWg6GYYq0PX2kiXBF55jRkfJvB19xcMdwviOeanGu339i7P7NTugRoJSZfYs90FbmdaIQHnUDjgRoxGGX4NXMvPWKAOUBnYyxMeI+B138MUK+3qtHFWC0NX5SgLFx0/8C1jpSP8FA2Vb0WbCx8kzP+d2tR5+BLtJGbw0b/rvr7KpRwFie5DWMmX4rKjItVhzz6kGLAj+FnQIYW6OEnXZnrA0MGBVvBDBWnuk4+R6NsXdxqfxo6YSuSk/NPj6d6QCa/qcYgeHe5r6iY7JGFcWMuAM8liKfGhQv6sRUeKPziiNDg5BGQKXkUAcq5+g8weybCJgImAiYCJgImAjMegS49ea2kXtA3ysPDQ3BElE8Ou8NkQWSjSiM8VxFfFTe0V3Zp08UpCdcfvfZ3VBBNsSHr/x267MPbNRvecUCRpxfCuvS4i7xlmKMoIC8jFKY4ShXFNgo/i9sWcnFNNu5LnnJa5HsYFFNOrZfwKjFisFfjZTR95s1R0wEJhoB8Jd+GKEpE1jPxk2wJhYQJx+jZB9yR92AmgmT1hJvWBK3ZtHxtcIYYzcsiYUxki69Y20yJJNViExkVqfcjNLKsiaYHjNiDCrpuJEhsSwkHj2vx0DLSY9hooHS7X0vh86iqaFT+7/oUfGQheWXrbK0CTRKonR4WjBrXqrHDE9mwMGT0Pl24KWUzdSFGfWJzqq/kwupOYsIIPhR9+bH3PX5AS0zBl39NV9JM+wSxt6emxgGjwBUVmPGxi9/rgFj855HOuGHZBM7qxQC0NDpARg3/wiw1lt4UEPFPit32KP0I3W6QgowdmV+jgBS1yrsylynkqNJkU5wN14JPp5p/9RVe84DGHWOtucV4aJOjvYAxk4MXBb/Teuxl8YDjOk06MnfQWPm6ACMp7DnmPbxL6QOgb2Dva0DnbWUxGQb7L7B24U0Qb9zGWi6KkuT2tj320YODrr4Y6QZWscxOdQBTzAfmAiYCJgImAiYCJgIhEsEuBPkBhB/Fr8DQoTDp1Ty9/q0q703K+VqVETG0d1ZZEdSoREAiAH06kXHPnhuz7LXDu1YnbR1xUnwICJG7qO1t8viVwUYrvv4eEFuJfpGbv9zMkptxqjpon5FuPjXl/fT+Im7V0EvuasVwKhrMI51kVasUmqv6c0vbCSl2slIveZi3poImAiEGIHOtt6K0kZcVFDo8ZSBP16WCC/hIqZRmizRprF2tBpDiJdwNoMrrvoges2HmjHGwBs3LotDzcgANLZiadJySvsscrTbmnvamrozk69E782KP5zHYOb2zx+NH1HSWeQMG/iJz7UXgQTJkn3Mp3NrgW2H0blTd13KMCJeRRHqPO61j8qxobZda0r1t8Mr2d884mlp6PKar9e55m2IEdDkcLirbtz2ZElzez5wY7ZL/I07sHnRQHwlRk2WcUIBMDqrFCLzo6xiavOuBwBrXV9tdsgXM1AzylbJpkxP7LKEJXGdqcv6rtGP0EU2ENNsRgN+pa6roCLlFq8liixTqkFCF1Xitqq+2Fchs+vO3szUGjf+wFWJC7ZQRJ8Uaa1glI+6MtfQuOXgE1adSdXbnYDLJvH18aW7m67y4xn7A7MdveP66/KgjpPoOfxPcd8oZFGiHimVOS3G2BKwWDH6RjFtl6KLmUasGP5frhmhiYCJgImAiYCJgDMCSIy4E0SX4jyo90kz5CP0h14fcVOfm14afzg/Lf6y2L6I84swxku5lvszd6N/eUKqLx7cnqGZ4dXztY/fLd4u51JLUuMuceN/8nAep9uZ0TZgpB8SrmnJtm1lokUXc8YARu7W88XTQXtJe70KbPQljUzzlmu0oovXjMxbEwETgSlGAAEhwkINl/grDt1GOdB1o3Zmrnzv6Mr3o7WOkecXPLzYuDSOS1AwobtjTK1F3cmN+k7AJg3IpD62NxsCSX53oP5n+jhETpSWylybIbFU3qjrCDQeOKQoxtNKEGHO9MAm1D/1FRn89XI//0DwjcOcUWAyctrYG0+smDhfkFPXOqGLmsZ+I4CPBmmDfj/yOoh20QXFKo71Om7ejhsBySMeQxdtwOhJJZYajAIYuzJWA9YkNVi0izpLWrCbRRcBjJWWq7Kn+iKJwxZdRNw47kimtwHuGHJ1LVbktTS+Ye2/42XTVxIrxi6e/Gimhj4TB436td+T2cW+FhAwavBYmdaqalF2nv5Ypildner3qQ46vXOZj73xu3LVZPv8tEbRovMjfl0LDzMOdtaKIlHJqgc7qzVjHGyvDPRtjiDY5i9RfGHOmVqLgaJkjpsImAiYCJgImAiEYQQwYtC3h9yMOz0a2OcunnvGpvpOr2HTkqxDDFtRK0EIRxmjwox4AVzOq37/OUma/vDFveA+6GJOaglvSZ1G0wJaPHk4/2RUXmpcoS9gJOda08U3ntwu0FLLF3OquArjlC3rmgKMiisKabQ2dE2yjVJHb8yIlHGKkiqvOJi3JgImAjoCCNj4a9WICcsSL1ljkCghoj6w7eyKtw+zRW7L4K3dmP21H8d89t7RVe9HL3/zMIvJx38+kBJ7ySsj226vd6jtgMHKnDsaAwxZJHVAsL8Jxdqekoa094vyvOY4m291QrrTOofymzx74pGN9r/Wc4SjIsIE8GpfsNkc4R1yrZEBF/faAxi4hPafuy6P9sbtJbRojbYic9mJetS+VjBqOgdDS+4piOwtOAAkbNx6V/2qf+srjleMMZOChEIatXwRuiimJ6mC7EQcCNPTm8gXZ9leebCzTvlfq1RoWGJ5UlvCO/DDpm33WCUThQ0KOFWAMZWpdWVvpEHN0q93Z6zzwxgtupgO9CYCdZ/+g4sscg9gxKt6NKBm7/ZtVIs+Pyr/aNHZDCC5gCM52F5uMcbO64F+I0OuDhcAHB1jbW6gNua4iYCJgImAiYCJgIlAGEYAloiAkPtEbhJxi+bmkWpgVFnkCK+k7znH3NXeh0aIomF9PVL3jNw37ve17YuWMiJfATVkphS//ugXT9+7DskipgYkRIMNsXchOZrijbzlNSXGD2Ck5BotH79rFSQBuogqEsdqKz9a00WypFWitI0WfXc8mNGPmtFIGZ3fptk3EZh6BBC5aZgG4ad+QugdghA/fefIx3+OhBz+9ZUDvK54+4gXY0THiM8L8kWqK+RnX5vNZFtsrKk8SdovyyOVHieKzngQQ+1Zv0pLvyFiaiy50Ei/n87tQTAjKz9B0P8uaKio/oGoRKyI07QRK870F0TRRQGMIWc9DzQX0R4V0EwPbIH17y99VQNGnUpMAcZk0oGBb42b/x/yxfqV/4yNsqQS6xqMyvfEVTE2P1r7nkg+slIwlsTPMjgS5inaRUGLYMDe4tj6z75Vs/hr3Xk7FBXUaFHVlhQFYyobjLHl4JPCGBd/rS36BcJiYUYPWuQt0LJx0w9p05n0gZ0f7b5xeYH9JKYynaEBt0/G/fhocRQzlp2a5VT6qUzWz7kjI8OUmmwpRqk43NPkJUQcaC7WjHH4Zr2fc9Whod42MY8ujg1oChPoTHPcRMBEwETARMBEwERgriPQ2tRFprN958gOnHBgYEzdLe4i0RDireCVUt170wW405gRqWFhTiXnspMeLxUUyZhOiS0EG770yJbYg7nQxXOpxfFRuUknCmwFIyYvbBQowwWGlpuXxXOWU77Ije35bCVizFIiRnn1s9ns0aFmNFLGuf5tmesv3AjYWckYeTgl0KHMOHL72WWvH8LOafGrAhj1tn9but9z9RMNvx95HURihxEJqPNml8vroxDfoj+kcqxzMWSfdQ9mGLo4M8Rr2c0QXnIVdOP2kTDZqatut9WYjJB9wCnp3hMlrmEynfk7DBcp0lVnQhy/pMReOW7Kl4UYLt0M4+NRtjOaKA1gVGwQRodIryKl7eQ7Dev+Q8E3j0P0uv/oztrouq5ypYUxegCjaAKVq7LOTSZvvSSBWpoTGtUUG7vbypx0UUyio19k8M37HmFfgUEtXLTki32YQWvGWJnaduK1miVfpzEZ020n/tx7+bDGjGRYdyR/TJFGPmo98keLLkIvK1JBalMc8II5PTBdjJfCnmO2wNRx3jJGqsXKX5PH1YUd7KExknZ+vwNNV1SD48M9N5zHnfucMr8pq3MyZt9EwETARMBEwETgzosAqYVk6gEN/N7OwxW5wYQc+r3Lxg4A/Hgxu6LgXAW3yWBGrWbUtRlf+PWm3/94ZfTubCmQmFEWG5WbGH3BAoy4SKsN2gBd/PPvt3G6TRdFGKkdXnSKtOgY1aauJVRzdNM51KMSRyVl9AaMukIj7jNw0TvvGzYzNhGYtgiwSrAgsJEWPYlO0SUufyNKMcZDto7xk7cOT6IrToEKor7m0QaVDIFgemNFYtWakO6RxygsXHpeVKBlMURUiU6PdYODrBt+V7/Jjdl5FteifzSTzoPhsE8EGBiPeFAwomMcd/qARyyzw2HkC2wMiMoQ84RmqzpCS6l4Zv6bSATcDQX+AKPt8CLyP5VEjD10Wk9eRMuhp1Aw2qQROV9Hwru9xTGuKiykFaYD1mnAOCpfTKAY3UQGNaW2MC6hhR7tIiSw9/KRuuXfrFn6d0ILRako9SR1ZrR2x9Z0kVelWpRc6YbV37bnCG+s++QfOV0fad79ENRIhUUKObpbr01puAvo5AB00Ysrer0NgBnnIWN0118Qclgcy85A6zWk11IVFg12k7fAVf7oYI/FMWgdF9D3b6ZiImAiYCJgImAiYCIwfgRwbUDDw50mCXGBWoPsyCiEMQL9hArCGCnMKDnOFeiUgIdLXjsEOeRWHSljwpHzTsC47dMEGjx218pTxy7QxkqOlh4qQZqyCWDUr9K/PqjxowUhFYdUzYRAjpZq9Gf7ojEjyeCB5mKOmwiYCASPgGZiOAUHb+b8FPoEsNJH1n4Y88mbh5e9EbXk9SilYyRXOpKkaWf7EPd5LELdBhYoCjhQ9xX9M2O7lF/FW7aLORWhM0Zcp1nloJTtbaMFIRkGwkjoJR+VFzeGOKoQm9GzFkwCRdFehnjWrDWjSgYjDH45qCz/Lly/1mzL4HtvSg0N8980RkCrfdy1OeP2qVvyOm7LsGqAiqkzZWnrkWeadz3Ixg5vg0ibpn3wovQbFS7atEcBRivFWAHGylRMoi1j5cq0rox1zbsfqVv2DYvCLf16045fdqYsE9dmFIySH62rL3ryo2dR4wfxk6urzGjNElv2P8o4W48+pxyiIaUKJPLqES6KXFPT0dGPkrsz1zbvfcgxx79t2f1wT+4Xo9rFsiQCAlWb9i9lnnboz9JF4USKVfLD8N5s0mj/6sbskGc9j+Iw0F4FM5QxDzr+ORsZkixpf/+56/M1jRxxtevPh/va+muyjQDbX7TMMRMBEwETARMBE4GFEwFSILm5DgUm1FW3AhUFMyJlVJgRP5eD28+++NBmSX/+JB4CEBOZi5c0ciAqNNJ4w9I4bR697uMYiy5KkjUbnYyhi6pboZe4vRzdnb32w+NbP02MisgiOZp7W7mcwozKDkYYoydX2r+OEcxopIwL5zdqZjK7EeAPmTXBr9rZ70CowwAG5BRdqvHwrqwV7xxZ8ZYwRq1jXPxq5IEAKdJ+O9QHeUxAn2xwRUijsx4gXLH6WlN2mhR88JvB7avHw6yErsiG9r0idFTrGCdUatK3H/sIivGK4kZgpmP8XV6FKezGYbijxYpEzDbLZiKYv1Axg4zvMBzwvB7SyNBgP2oxbFUbCoLoGKl4Joqg0oSRwVvzaL6AxJYDj2q06Hzl4OwwRoSF/uiihkLa4UUpGDV8k1KEyjmatOjqTDZAYsfpJY1f3qNzioF4CAWb9/22K/NzMVjR1RdL4/vr8mfzSxFXa5EvJkMCYYk953eLBPHTfyQ/VyU7p3kwoyKNgNOK1Ob9v2/cdldP4UGVKy0lGfW5ik/SCV0lySvSR50ADr3kEmWnsJKZzamF87X8SWHhik60qH8S9g9DI0eNGcegRfs3OcvGQJMOL8USkU+z/kzAYWpkhOcmwhiLTgy0lQ12VCF9ZH/E1THpYZgTTQRMBEwETARMBEwEwjwCiFj0LXCIupRbLjd3ncgIkRrmpJWSGQ0MTDp2AecXGOMrv90KWDiwNS3+YP6uDSkv/2YrB9ko0gg/FO1ibhW0MDXu0vH957LJzhNWKeRQ80M0jaeiLzxz33p9ln597oGNEWuTFWYcZYy89bhOi+GL3rR20evVSBnD/BdohheGEYDesyyEAsRYQHg2odcQRM6AKaZD6vG6xbFIFmGMy99Ex3gIz2inyUsoUyZvV3fbUGuJH3zPIktaKgdeHnP/C29Ei8gDDq/22vGKGoNex/Vb7fUMQPP7aegH8WXW+k89eACdPI5RCsmc9NIw97t3uwcJqZ1IrqeQn3WN76KzrdcJeEMPiGkZSgQwbeG+W/hhSfxg67UhPFxGRqwTB29xYy75quo+fd7dmyNWdHJF5z4fhRKcKbbpx3fbj3xRcyELMPZcPqLyiNP6MImG3Wljl6pMF5vCjFi99F453hb3ZsOG/2sJGhf/TXfedmUhDUSKp8zjFMcZ+uliHj1Wvoi0klF1nHxH6KIYXoNJ9SZJ35L3fX4XBBILmF5CIanTIEdl+6JYopBGq2yjTovm1aKL4NbQB7awW7pbSn1+SE66qKAizNnedIVPS9MYmDGSKD0fBKL9ChUG8W3x/+2PDFmMUddsLI71qtbo/yxz1ETARMBEwETARMBEYN5GYGBgWN9FajIQ4jwoiQYMjNmfezgik5xo8CDpiivePvzYT1c52aAGjCgY4Y2gRU0X8zIUltyZBWa0uKJmjDlViUfOP/XztfTw/nN7EEYe3ZW1aWn8H3+1jiN/+cP2zKQi4KRkZ4uU0VOVMVOpGTPKgxhMc9Z0CZNCjI9pZiIwryOgxX5Baibo2QHToE8sIEj1vNBZZ1sPOkZ0y2sWHTu4PWOidJHnHdJtaglcK3gkQYKAOzsBGWUjDyz0mub1V6+5X8P1gLhSzwXIFvyKgT7FdBvVtL40I6foohPKkYysSWxb85gE7UC9zfJxCl0yPIZtjT+tBB4L2kWKOcsjuWMvB2Psr8oUimhtx1Vxs+Oet8pJIUAqYjgHza98UWNGcqVneuSgGx8ohJBMyxe1ukwcXurXfLd+7fdbj7/cUxglCsbKDDF2sdCiwowKOQp7rEzrPr+r5cizTdvvFYFfKVnSieC4mZ6Is/9+6uAJYLTki13Zm6CL9Wu+J+JD6KJzE8yImjGd0dKm7eS7KksatKicXyylog0VFVf0oEW5RGnioCmgp0LvTwfr/BUprkjE1EZ9y578nXrfo3HFBiggY5wXIsZ+fhhFJ5y/Q//7wwPkUMsjEsd/Ay1l6GzddXkjAwELMTmam10TARMBEwETARMBE4H5HQEyDbmp5ObaqzRZ8Fldv9Z0fH92VESmkugI9IPjZSQVbV4ej3Jpz6bUpGMFH//5AGxw5bvRQhdJc1Z48OThPMhhTGSOGMco7aI+lzYII8mM/vSdwyRTS5K12mCJK94+Qj9/un89aqXCXLkQmPG8xoyjUkY7aRrYKJpGLykjbg6hl2sLPnfzqYnAwo6ANj72FQHas0bMpp2hWDp41hB6MrXdQ/AdcqLpmdJ/wZvxaVN9B4CxptJqaasHfc/VA4adBupTN6itnlj5VnKxKT6JTFGjOQaDM84tpeT0uhAtWdlYxMLNhYqFkUVVjx9gCyn1TTD3mot5O0MRGL7ZgOBHZ0xrtAhmxGN6sCvg73aGRjJd3Toli77703WVQP2AbvwDRiutVRSMvQUH6j/9J1uX2LjlRx2J70uusVPBKEbSGQow2kbSHhfp0kR3Q2GgAczEcRColR+tnFwaN/0vg+9M+0ShRRmnYxM1I0bYQiDXfp8kaCVf1HRRc0WtVLT0ihYTg5Kp7G9EazMx/nnXZ2AXcs2otQ4WukjSelJv0dG6Vf9a9+k/9OTv9scY/SRKz4NKjCNDLEeSHz3efwiwaTnLjurjDcp8biJgImAiYCJgImAiMNsRQNWDdoU73xARHCIfDKPPpZdgzqKqMlppzjDD6L3Zx/ac4/ihiEyo4HO/3oS2kLtXbely9tQVdE2Hd2ZSzsuRGS3iRqnQ6OGKTo8Y9iGN6/8aS28fvbSvMBebGO0vw0UrwIxclIxp2TLLHf4vghm9GCPD8BI1zXagzfVMBOZJBBDgCeIr94P4EC7yB6t5FDDNL4xCETfpibpcbjrnkcfIkCdLNHBfrEWUfywpFPyC3E6Pyq/ZMXpCPmXhCtRZS4O4wEzI6gUtN+uMvig7ddXt5IwH6p/jWpkZSsHbIJ1M+0fXiuS7Ji9+2kHxtA/1zumQwoyi9hkJ9nOaF9HwhYrOIzM9BdCND2AcKzwTyRlCxMTOM58173rAtlGuWfq3TTvv7zy7UhSAFrID1qFgTJc0alEAjgLGIVfXTE/E7l80mXrMKBgrUjCdAR7ic23RRVt4ifxSQVGcrxs3/oA2XemfSrq09nwRh2igomcKdlav4opKdEfCb4KRLxJ2vlwJuHeWvZ0cbWsXtRd5cmv0C0S7Ye2/KzMggqxkjZ5anUrH6IcxDrnDW9o3eEsAY1mi/TsMuDM8ILG6Em3EigFDZD4wETARMBEwETARuDMiQAZf6GmMJVfqAJIQwqEh/m93EN8Eq5pidgXqRKoyAvp2b0x94p7VwEbQok6Fhhgc25sNXUw6UcC5Ahi1GzV0EWyo6KKFFi/WkqCnt6sXaznIp88/uAHGiEDoUl5VYV61LYmkH+38IgbTHsxoW8D4YkYjZbwzftFmllONACJAuBMmUJ3tvdRSgPthxIzCTfM0/sa72v3cE4EWZUE4VxkKHvQ7RFKzuUSIFA4mlnumtLzoBl1Vq7KNrCp+u2U8PNegZzuf2quZLsMY4nX1uVr0yGRBmn5Bq9cleMsyyIMP3+NzdQQxKuMhLCYbeq6+goV93SAp0m0znCINtPHhQl750bbJi4j6yOKkfeepDxu3/bRm8dfARGxI0ZojH+3O3QqpE4gHYKwAMFLG0KJzror02fwGgX6jgLHsVP3q7zLI1kNPWyBUpXX36+Ru9WoRyC0/kgZSj5GRexSMysNF4USV6G1BMK3KS5hlWeZsxjD0a8lPyA9d5FdElLSTiwLUoFphtpSyTG3Y8N98I93ZWxxeOZYiVJBjgETp8Ge5LuIANhyb++w3kqRC0zKQtbTfU8xBEwETARMBEwETAROBOzkCJNBlpVIerRjsYMehvbUbURPOL/DDwzuzctLLgIrZpwVCypYtVRMTDueTUg1j5Babgxo8wgkzThVtW5m4aWnc+sWxsZG54ERBiwWeTe9frP3g+T0AxoQj+Qga4Y2FYEY781r6dxRmtDGj1Gb0ky5tpIz2F2d2TASCRABupumThor2K9TRr0bRrsoIfuzrmWT5PjAmFwpSLNE5YAysGeH1yhYO4jIT/ETdAJ2hswd7f9wcarulvYMPTujPZfRZ2kJl0pUe7UtP1w5TIGiMaro6NP0EiwCYe6BvZMA1ASfWYN3Ng8/m0OTF3XjFP2C086MR7IFN0PJ56hkKgqNuYVV675Xotpg36lf9m8aMvNav/k7b0ed7L+6jjQUYRQR4yt14dTa/BgGMMmwZc0/Ol3Wf/KMeYcP6/+rKWEfdSOhif3WW3sCJDFt4V+6XMi9hjJhHj9JRy5FkDFpU2ryS+HDX1M180Hl87qOA1XUUeU1Q34L141GOOQKo2fDyrl/5L2rf6cetES5Y0n8lRhxkZn5CU7qCm8qfV6IHmovG7YU2tBxs9/+kb9zTTQMTARMBEwETARMBE4E7KgJQBe0wSwal18S1lPHwrsyoHZncsSri54F+2RWUZzy0I4OPMk5dkY/OqQKMOVXH9+c8ec9qyKG9PXPf52s/jslNLy0uqGUrKpRXiOLTvxS3l7OJVygNJ4wxvzol9lJqbCGYUao4OkjmGCmjYowgCN8NqVKIKeFeMzVvTQTuqAhQkhHoR3Ixf9dIiP0mIOuqjNolJBB+DDFoMEMuBO4LpT1PIvjT1kPiupzY1jymvLyzE6AlDcCMzoP2Pg8++JSCivaRad+BK+piFNPe81Q6pDgGy+lUejDnhhiBYeiQx8bFPsUFLCqJc5UmohHCLRo00V+ZDtlw12RRysxdl+uuy3c3XHTfKBxousLN+3CP6HXny3+M1q+IkYMzPREi6QMY/eVHa8Co6hlagFF8XnBLyaAH6jGCjGzMyE5TxK9GU6RLT80yiBPACA9UXFQ0ckUnWg89VbP0/+gRNm67G8NoGzB2nHyL46R+a+2lBRit/G6lwNQmNeAyS1lnAbTw510z/fsPSBdtOs1XIJhXZUZXpHamLOk+twWKW7/qX1HAKrEoONfDGEfFonaoxyRKh1fAqfTR1y7PQWwv+9u3USTK2lUUM+K+GTz4Aw2CImf6rzv4GMynJgImAiYCJgImAiYC8yUCOgkRyBAIzZ1NvBwVkZF5qgjKZ28wyejdWYe2n42PyhNvF9kECWallmjbaIorkkyNvvGLVUmvPvoFIPHxu1evej8aBxlcG4oL6nasSebgO8/sAg5cPV8LY0TB+PpjX9AsevdXOl1aKj1amNH2mJaqjMpg2g9ghEuQUh0ER8yXL8WM00RgRiMAvuNPHvgGhvKbSEv2NB/RgA3gT2HGiuLGG3UdE/Kmt6eAQwr9IHK2jwTa0Q4vBbmV4E3aUD6RE738rJ3nkk9NAzyvqe3gPM4+A+YjUJtfZaZX48m9hS4SHK5SrCpGTq6TmTiLUJNmPhM9mz69IjDc14b2yQVOLImzP+orjrWpYyg7wEb73HmxA2pAx0hCtK6+yA5vZ5o/SOk877p5Kj/aBkRavqikgJA6YUEo0MRzWYsYFWBU1Rd7CvYjZWxY9x9tJ15DKIj5tcoyFkCHEcwsfwWStKsBox65GnZv4cHm3Q/ZFLR5zyMoMEHWom9c+vXeS1GqjKTkdyvGqApIKvmlyvPVyMvBu8pOgddmeV7hdjl3Q8HY349ddFGnkGu6mKy0i6k9hZHEmQKenWmfNe9+uHHLj4XoSkK6MEaVPa2KMdpKUcG5joCXxIUJYBwZvCVKxaIYvRBRdHHwZr391WgRY39lWtDasCOSTF10giqy9olmx0TARMBEwETARMBEwETAbwSoXcbdMVsQkQ+Jz5nJRZjAQvbsLTH6fOQXZ6N2ZIAppF6i9o/Oqdz2aQLY8K2ndyJQtDOjwYkpsYWfvHn4sZ+uYvvopf2LXz3w6F0icTwckeUpzHhdn/vsA+tJgpZcabU5GKPH/AXAGJQxghmNlNHv120OmggQASohRKw7veS1yDWLjsUezOvsGC2MoONj40dWBv4YdfUDvVBQ87C2amKmzLpPXemxy+dazm+EWg1gMZaUtuYefbyhth2lNBUgnc289rUO06tnXW2SMYcom/Tqc9y3QMu66lYNaVmOAj2dGbefGWqg3W1Cf9RCwV7cbWaOxM7QNMO32+EBxEIj7h7qmw25OtAODfc2oxfi1h7z6MGO6sGOqoHWa4OtZcgXB5qu4jQdvnMJm5H5ACLNc2xMpKsvOvOjbcAIhVPlFmFEHnuXXgjSkq+3xb0pH8EVJctYkNFA+xzUFpBSflZyd7JCo5qLpnfnRajqkVI6Ek2jdpduOfQH8qbHAkaypKFeTuQ1Jm83TGDXHP6UfH489s9GlV70pKgLZ5Z8+bS+yjMdiR/wC6F0Z9P2e4GNfEFKNaoYo0Tb46ejGWNYAkYefwClBS2WJIgIll+IklsPtpfr72JkeEBXYuyvShd9o7//UFlz1sCNy/4+NMdMBEwETARMBEwETARMBEYjgEZIVw8DHo4e9dkDFaICIqESv2asW7ibzkwpjvwy/cC29NMnCs5nXUM0aAPGvzz5JdjwwJY0FImYuQAPVVp0HQofNu7HKcz49tM7H7trJc3ef26PZEyrDZ0k2kUOrvs4BvXji49seemRzexgMeNgjCKh1LYvQUSMOnXaSBl9vklzwETgNs7LG5bFrV50bNWi6PVL4jYujf9iVaJtxU75vpLLdZolUrXAWY0QBoWOUWdMg+8mGkqkhvz5I2D2a8iCXBFuiRCRpaairMnuHOR1bF/2qej8IP4yGl021o4pw6gNpkOs+mhfLpQdNJzEAZ9rHSWWNfSZoZw4y21Yt1mWtRDU76WJOd87cwEg67mwyPttaQ6aCIRDBCSJeKxIzMoChs7JpgGjleJqyRctBaMfwAgsat79YP2a71lZxh5ANydKv/7aHMf4xzBGxtmVuRaZpa1mbIt+UWYnpNRWMGrAqJAXrEwHxIO8kHGGw9c3h2MY7Kwd+8ux6aJydZHMaDatXQQtsqX3KRbdlbGmbtk3dOQ7Tr4rMffUvfQRMY4hulxuzqEuTzf6ihEuHhecqDOjR0Z4nGExxg4LpCMMRtbIQRcm4x3Vt0dGZYogR+o58BEVHm7flpwC85+JgImAiYCJgImAiYCJQJAIaOcF7ui59w/S7PKFavxfmlQdM4Q63JBiKn1ga9rRXdlQPtE0KsDIDsUY33hcAOP2VYmACLilF2CEXZQU1h+OyKTNkz9bDU9Q4LGWLOm3/rCTg2xgxg+e27P41ch3nonQR3ibe6Zc50qLWlIZvowrYtSYEfhwy3WnZwYF+XLNR3daBCD2K9+PXrPo+NqPYtYvjtmwJHbD0rjYqDziAJRDrwhrYk3Qf+++wUHcSAOY/yTUbuAs/uRBc6gKe2/KmjM4MIxxDG+5LosMi0bD9THySD6KOZB7cPvZIBJrnUZdWTqKJfWwsafxHf9UjjDUa0UNBEfjOEo6OAHsVHqeiXOJMPGkCqWXjpGMeL5clmItv9RzYVI86/HrIT4TYzN9mghMNAIDXY1jGZGPfNHKjxbzX0sEKPYuzvxo5IujCkb2O099BDvqvXxEMqkVYOyvn5tcdXdL2SgjRWYmdTsd8ksBial4Ydev+hcNu/B5ISddXLA9vEuN37+mDrw20WgvpPbB6KL1m9FQWgXcsgTSv5PM/qqs7vyd9Z99S8K+9G+783Z4oK5DMipEV0FdD9HVP1R+sXMZRi1NLDqGdtprGG5ottYxen4YI4Nu9I36oKs4FtxNG3dNtkv4ZDRlY28P3vLqxLw1ETARMBEwETARMBEwEfAbAW7bxxX5kOmMxzS5iroHTjkdc4Hqi5lJRTZgTE+8HL03G3bx0Ut7oYLvPrsr9mBu4tHzUD4QHynSshVCF+vOZ5b/UXm77Np4mrcCGAvqdq6TeoxspFFnY9mgPF/gk+nxlxe9uI/jbzz5JdUdUdpQ6VHqQApmvKbytcVROsjGAOCfQWq4+Q2LOWgisFAjAFf87N2jVENd/cGJtX89jmB43cexm5afrCxr0qwJ5Zvfqox2QOCEQfSEdjO/OxA5GOP/Z+88/Ouozrz/t+wmm+xutmQ327L7Jm/e7AIBQgiBLAkdQoBAgEBCTwjYprmCO7ZcsCVXSZZkWc0qtq4kVGxLlq1mNatazSrW1UW6kuX3+5wzdzS69+qqX7Xjz3yUuWfOzJx5ppD5zu95fnpHWgyp5/kLtIRwOtciaZd73JV+mQIL3PIjI8EVFCRQszofPpzrzu08rFLrJPVohcWFzPWe273PeGsQUZ6ijJmYE0CKTth0VB8IjYBZUuZnfEJnPLblvaK3o2q+CxIu7wAGHt1gU+HEgBG8IyK0Xtemvi8jqKEndK4W/19VelEQnEaL/oCRAowCGM8doL8WpA33NAXuOgwtqgyjnavrzPIeV0NyoDql88SLTR/8tcaMLVu+15ezxaHADASMiRx7GMa/aHchdTvHCV+VzlArPMfoooLSQGbrgrHoovLvxpUpx10a3bzx34g5gLf/3H65nJR5t1wzTquX8XbSCyKFtU+E9n32dlXZLfaMXiQ4EfzoKM5A3Qax2Fbs0YKNlUnODvYWzIyJgImAiYCJgImAiYCJwGwiAAPkbbSxThxgSQ/UuYFYTvNGr/OU4w8jMcrGz+XUsSJsoJ/88UbqK+7ekJoUfY4WSqgpxthYUdJ4Ib/2D0/sBhiSJV2mkCOGLzlpFagZaVz/TmwZhi8WXRRfad6OwQ6oGVn65xejRMSYr+yqLcBYA39QY7CrMvp+itO0PQmBNFLG2VwDZt1lEwG0ix+/fhzGiI5x3TsxG/50Yt3b0R+8elQTJxSDIZJq5yQISB/5qMF9DeyifCLfC6iYGsjrQJEsRah8vbOvplLgZ6DNvR6PtoqeWWXISY8I+Z9tdsOAgZlQO3stnGWoG8k3F4SdTHi+2IvmaYawRO04++Frx5iYmVRCSUK6Vnjq88tfuC6Kcb654OMzT4Nc6ZsdHRHZT2P+VOKABQOdvUvN5GUqhzaHfWA1wegiIkZHcnR1astn34UCkU3cFfey+/JxUfeJZFFN2kJapxVbLVntB39BhT0ceSzAuKCpxINNRZaI0QG+lBTTIWUUWJrlLo/vOPyYKg8otRnbdt+FzfQECsZELKrn8EQsrU0F0EUuGEdytKRFK7Go8gPCBqUz+rnWHbfBEkG4rdt+2JX4urssTkoXNuSQPkwL0W766K/7cjXUzZSCjSRWsx2tYHQAxgVPS5fKiuXxQaxbRNmYjEDR21YqFLEsjtqwztPKE4mPI5bltHOBmTcRmOsIDPfUD/I0rkhgYoafc70Hsz0TARMBEwETgUUaAd7reS29Wi0CoYqLzczzRq/VRO4bntMJxYd2nj2210VhRmUGUYdtxFP3bIIxrnr5EHUaYYy8mOMTnXS8SCdQP3bH+uyUMngj2kXS9N741T744Z9eiIQoiqP0OMAojJE3Yrb2yG3r8JrBcSaor7RSM4550OifkkZtE8jsauQ6Rsq4SC8yM6xwReBIRDZsShjjG8fXviWY8Y/PHyBXmpu6r3uOc4pnfEwoBqGLyI8xlWYjcLwLeTU8eXj++OkYIaK0MwVVXSLMo3TkjIfR2darN85XFcpOOvkh4BEdo58IkyxvRSBDVZyY8WBYEZzIueNTiz3xMwRjhNzq8fOXp19NZSudA+22JxoSZ4HHPrrH2cRwoo0v43Z8E3hzH2qSsgOT/1OdvS3nJ++5gnsEZLn68qMBjFeSVAG9VAhke+Qvmz74WyiQmv6ydecdPSnvKW8OyhWqioXy1ypd2H/xGLYpiABF7qg8O4ZaLy1gjCGBA5YdtrOepBbX6exdW80oed/u4oPte+61DnbV14Cl/RcPjxPUVSQi+1zAI1rYXQOloXwBXBrAOC68CuFm9OVuE3tudeWQEG3lRKufndHPgj4GG3IHazLa9v5U+qz+es/pVbJxJhExpohBz/i6lwuclj46LN848Ib2+zc6KqnQ+EEP9rGEx45ijPF4wfh1ND9NBOY3Aje93FZy+Y2faLx1c+b/n21+x2y2biJgImAiYCIwdxHQApj6qjZeTvXrqv1Ke62pm1fslJjz/OUFlvxl6B/apKyk0jef2Q82ZHrqx5t+88DWX9+3Rf/kL6YSCBehi+dyaze9Hy997t6Yn1UFWtST0i5qBaMARnI2X3hwO92O7c0pya9j+8IYETHm4SutMqZJmnZM4gLj84KxwaMtaETKCBedu/CYLZkILKUIcPOueyeWWgQfvX7s4zeOfyKMMZqbdwY1FefpsFHWFbmq+PSATbO9C5R4umYgILT+ShvJ1BRtsNOWqy432z3tGWrM0pmvHjPWZFIXn0KL6C2dwYG2gRYt8JhVSZlZKBxybtAiTxva+Z4SuqqtPcLpzkTuyLLRop5576WoqF1ZE20HUSVP1Kar14PS16Br4fKj2wmabWRDrnrQzqbRisDo6E1356jnOoqp0aEbiH94aRLAODoyaYjwlaYzSYuT9lzJHTwNuUFIkajRki3zZSVFIzmalu7MD9v2/AQKZMG31d9s338/bh2SAGvRxTMD5YngRzr0ZHxo50d7e68tbJAhnDZj7L94tDP2hbb9D7R98b+dCb9z48GhU78lk3dsgoy1bvt/1pGu+UZP2rtjgrqqVDKvF/aIFmrv0EXJ9g20BLIQrvIDqsY6XLLp+/J3Nqz+BlpWFIzuipPi0F1PWnRMZ9zLDavF4aV16w8o1ClSxrpsLLx1tLviXpLrTRSMqeMBYyKnYGHzowk7FNFTkWh5u/hOA07QPG1IhbYaRke0hTRax1GPPOR5jvn6mv81EZjHCASlixo2CmM0/0wETARMBEwElnsEQIu8NSOG4W2dGURE+oh56S7IrgQt8uJfcam59IKYloqIUTFGdC9IGTGrfe3JiLd+vX/n2qQdH50CEiJihB9CBnjzPRGZ//iPNtAYtT2Ln2I87S9fFMDIO77OoU6NLb5YUDfGGCVdGsYI2Bw30WJNijoKbMSJRk0+zFg1TwmVy/1aMMe3HCIAYzwckc29Sbr0kb0u+3vBXB0bVlDc4CFsWULsCMDFTQ2jqyn3r5APeGSRJnvOv1SP9EOIvd0DPH90H1ahsEOIPU5rEbFibGwZaTTPPb5rOFdHMIlGmkciO/VTWjq7zXj+o9ePBwJGKPGMN2iviFgRLagOmh0unvwkp3PIUxc92htcWTPDQ/rNKPjfsjhJwq1IJMtyUJhGGsqiwdosYAXzlEFjrZs3ghDylRXDiY9W6hMGkiKhi0qKJtUXJdFV8lVFVKYsgGtBiCe7k99p3f7fFnwjufXjb7Xtvrsz+pn2yIea1/2TgKNtP7TpIuxx4iGEaYmI7hh5RWJ/yaHWPT9p3XVX6+4ft0bc07rnXjCj+3I0h6mZmA82qmqT1end6WuaN/wLSdN9RXsU7BJB3QKL6MIUs+C78VXs1M7O9l99wUAXU/U1I2e/4mTz+n+BLvblfOq5mg1aZEKvCNP2NHzZV7hbrp9VX+/N2SwtsMc6V9fJV/VF1RH1iKWeHadgTFxw/2iCogHOcOdYDUYconnUDDWPE0vrDxzqwXVCr2I+dgS/pEzr3EWAVOjg/630qRlNrvTcBdtsyUTARMBEYJFGAH2O/TqPpgV6oAeKvgjzF1UmUYDAhfwa8XAZzxgvFojFQPyhfP7+/jGpvghmzD1dgTM1LX94MoKWt5/9woEW69mgQ8FYTwG0Ewfz6PbEXRuLXDWoGdkmL8KSK63UjLzLB59ylSOMho0OQaPNGNmLkTIu0mvODGvJRgAeRXYzdzfPhKkL5/ThAui4K0k0rigNbnvKRw3UdDwT4Ht8MkAI7UdH2aOuGcsAGAaQ0489ziauPC60ihKxIv7X+sFIGrXfNpvqr7N3hN9+7bP/6QcYkS++99IhymnObMuwXESeVMAoOFPJgPVE8KkqObMNhl6LMzWt6pGht7aollK1TJihOBGnoQiCJcrbkyKHoV+j9FJoxqI6nMU2GO/12vGA0eHTobxdxuhibcZAbdYAjI7kOysb2uUuPYYxijbpsGGj0MUdd7gvHtfJ0eCmobZFISKFMTKYjuPPtOy4o2Xnj1p33dm6626NGTmKATGY1jRVUqcdExniSb2ujbZ8EVvqxXYewzaeoZZiqbWop7Gsczsz2vLQgUijBe1OeoOLgeR6RRddIlOsz5Wp4UuujZbN/8XSntPvKbqY0385GsbI1dWTvob8eha1RdztLk/w1WBMYqeLxFVH66i916utsA975DNHVcqt0fGFglUNWNtXmo8gaLDDdqbMjlZmBELIF63/JhoR48q8MsxRmwiYCKykCGDvYr9+2qokkgdxTqH9Rq+H+cb6Ttgjb99lJVcRL0H8LB1jfh3lFuMi87CcflslTb/+ZET0/pzUmPObVyWADR+/awOLdB60/gtCVIxR/kIS+PvqI7vouXXNSX4KYLQZo6VmtEij5o2+v2oAmj2SRi2mMCpvekzHKBXemIyUcSVdy+ZY5zEC6NyQHepnhZb5catOi+9VlIqfFLd8CFNj9HWegSBFDsFlSBlRD7IF/kL/nHnNsz9siKKWcKPr01ujJCM4jo8dgRunkUWsErhoNi1+KdIARgywDn1+1rlNjjp0zN19HhErFloKT32+ALZQUyVWDG7V7dzFDObZ8rSqR85gF4tnFbGWIOu57bIMif86jg6PDg/dGvaMDvVT+mzE0z3i7rrpbsdbgb/mdX7SEze+kp6TLqpEVy1f1AXxxlyAfUbAdSI5E+HZ1Wz3xaPdp1d1Hn0aC5jeMx8p7aIyjxY9WwpnbdKRhKcDI2ndfXfL9ttadtzuxIxt+36m9HJKsSlH7Zu0Hk8sS7TbSPKKposdlcHQInSR4KgQWReMLmuZqTPl3SVHuUi0n4uUW2z4EoFx2647QYhdJ15UasbcrpN/gDcqC+lsOHZvzhYKfjav/05/6VG1cXZBOdBFlJaus571RcsR8VDiyeN/DY+O0n7T3cYi7/W6WyPj8aN/b/PbRGAOIkBKvgaJE/3F82UOdmM2YSJgImAiYCKwiCNArTP9EgousIdJkTEakRHaLWiHLhdf1WmD1Cgjl1ljxvSEktgDuXmZla608lce/pxyi7i9HI1wPXHnRrDhno1pFjPU5HD8X1DD/s8y6PbUj5EvVlnI0WKMdewr6Vjh4d1n2UjCoQIoIu/1Y5Ou1qhMYbZ9eIqEUPrrdGmf84vFGBFN9V532wdiZkwETASmGwGwFfe7flDACb3em9yt/IRlTXFTuKjoR0oglyPduKerH2ZICYVzuVfYshMegnBQU9sFA5HkfTV3OdH24LXhC1pru4UZoBxjDnx6gDpp72yTQvpz+A9M5xQxAhiRL9Jo74Kii4DNQLMeQsr4RayovgoxNiYwLJFEbzlPFSPtUTHjh0Z1ojeNzj7LZp5ijLw3mUzDOTmhQmvH5UfrzGinGk0nR8OLMlGQuosje8+u7z79vhgr0yJJr4ox6uqL/MVOmnYyqYVJUkAvrTd7Y0f08x1Hnuo48mR38h/ZyJyMfDYbafviIeSLijE6MOPee5VSzi47qXGZ769k6SajaRzuaZrNrpf0usoMyImg1XViFerUadH8dVwwtVnUV4QiQmsHAYwNkhytpw5xGP+LjsiHRMooydG5umdP2nuSxo5Qtiazr2gfl5niutBL9pXo7Z174frszwjfNXgiUZYhcFPYu7AI2+jARabFRGCeIjApYBQDdPPPRMBEwETARGBZR4B3eUQ7vI0630N5q+UV1a7HaAeAN1xSF0F5gL6L5+uxfYk9mBe9Lwc8SO1EbFkyEy8iWXztqb1gwxd/uSPhUH5uuqiApLiimsiA1shRAEXaZTKj6Rm5I1PlTUv2NDpGwObudcl6EUv19Ox9W77YkjGGK1UmNTs9HV/yyO3r6INyUnSMASJGdIyoMcEXdva3fThmxkTARGDSCCBg1tJBbnyeALo/Zih5WZJ7G8i7AjeINJqeSASdTs0Yu0AOcZYnh1em7Cq5eVXRgw7fXviuwXODdZmgf6wSuPE5adHiTHKKnVvT31nQbDsbmdeHMx/eKDx44XJgRqbInVlOush+CTVxIEkcESPc1X1jkADyINVnR0eJZx1cFPg5Mjy5BYnfcc34p5OL2mUk0TTOeIOLecXRwV7SpcecFBbzWBf92MT3ZAww2uzIB9lUvrCnOsNTmdwV85zOWoULWdPqv6LKYu/ZDYIZsfyQvGnQEJOii9XpOHp0xDzXGvETxIG4MLd/8WD7/p+373+gO+nthVWW9qSvbt93v+gYd9xmY8aO6GcVxVJKOaBZwDTYfH7FurpwIYsNt1wqIGi7PqfWuGoGKzBZCnXqWp21WHJnMbVu/T5XC9nQSr5o0cXOmOdpbNt112Ad1FHVY6zP6XVt0o2sZV1CtsmLnIvFW/RSuCufPDoqA293b5vYviCuDlxkWkwE5ikCJkV6ngJrNmsiYCJgIrDkIuAH3/QbNN6pgQdCrmJ12TVQA2+ysLtje13xUXnFeTUqabr2nKsa0Pfyw58/esf6+KgC6ivGoG/MqtSpzZoxCm8kUbqw/p3nvgAMvkORxiIsYIQuMp1NLv3tgztof/i2T/Cq3vRufMSGNAo5aoq45tVD7MjGjKDI3z8uGdarfncE2mknSqtKjMIV1VStCzOy30AxUuABmhYTARMBHQEoonwIUHwP8u9XdBEcxyKkxU7BYWDooGQQMBAiq7PBtuYevlzw6ECMR3tuZgVbvlrd0XPdXXGpCQiJZ7S2UIGn8ZxJOFqIGf2WNYm716Ue2JHV4PCeDtzXjFu0PjMQykEXOUbnxxd2oY2xutoX4K1Nnw6doq7Pi3V2CuspBzF/ADZ0YIMCRhpDr2WWmgiIPMwJGG12JBnBVjVCXICbN/27QMXVX2/Z/D2cXICELZ99F+cOaaTc4vb/7ivYrYRnlvZM5IvV6XCk1j0/bd19T+v+/23/AsD4v6wI2WPqTnprAYOPoqwj6mFhjBH3Kcx4O3/7i6Mc9ExjRvW3Om2opWQlo0XOlChd5VIJQNBjueQ+tGg5AWEpfoZLwjITP/OJDRi7U//INcOFRBK95EpLScYcT4OLVH3cXprX/r0ARhSw1VxCykJaZaYPtaqSCPNy0YwOtVyYDQNETS2AMcCqXuSLZbHQnnkZtdmoicAEETAmLxMExjSbCJgImAis9Ahc7xIFI+KiiQLRe30AuAc5zE69hMuzmL/IVJsUfe7Y3pxTxwpPxxZfyK+F7GWcLOXlHW0SydT0QXOoAGNd1I4swCBFGnPSRJt0WdFFfKtf+N9ttD//wNbEo4XCIVWdRsBjfmbVq4+Kj8z6d2I1imQRQkdafn3vZ8AK9sIwHKbS0EWFFpWmUSsb+dtQa6SME51V024iMBYB+KFOTAYDkgodtPSfLqsYwvEEqGgVbCwSG3qbifEtANEgQjsbTtZWtha4qPLaqOkif3VRxK0fJO7ekBaxMe3z9ck7Pk4+sC1zbIhzN8ejhrH5fWdh8zhW0072sXNXF/JqKAqhx+lsD8M8hJZEch1GYlh1qdkZw4kGQA41mJc06p6ueSkWsaJSpCcKsmmfbgRIOB1HF0WcBlLzydK0fLEykTp4ECHYoFTSIwPasnfJhjihRWxe+w+CGVf/VW/uNsUYsZlGwZjek7O5be99mDW37PmpT774gA8w/qx938/EEWPh/sEY0TGCGbEqZganG3Ro2BNbFQIbvkTbKY3uzoUb42LZs/iMWyDaIV9UCLov9zM3jkvivo0HU4bKjkd/mDVQh3xRLpWejDVcHm0RP9GAsc+1ETPulvXfwRLFSpcW25ccqeRZly3m46u/IdU7FaC2ASOAd/5iQTVX8KCnKnnUO6bPH+6dRiL8cN81tsARjQyOGbiMDPZh6TJQFgdmnL/Bmy2bCASNQAgRoyHeQSNmGk0ETARMBFZCBIAJSmJUEZQq6AiwCFinq5Z1tfeV5Ndmp5Yfjcg+usdVkFWpkCNGz5o91manXAI8gh+1lJEX5Cd/LMnR+z49DSe8DEU838AWdG71q4/uOpdTa6NFcCLv1EzIEV9+6HOUjbBK+p9NvvTYj9azkSO7s9msDRjP5VyxcaI1oy1gfH+BCUbKuBIuY3OMM4sAPApypSkWlK+vd2Ci7UDkNISkSGPQPlA4aqLqTfFIQbt4rakbSubXuf5KG2JF7nS7QqOdVR2xKW3PptN7Np7evT7t87XJOz5K8lt3Tn7qcot8WAncGo8LEKtd+BHWyuFAVgN7hq2FZ28IvIlRzkD/kPPRTVQ5BPuEzrn2EnrpJ2Lkp19+d9iCE7Yd4eFCWqJffTNv5xVxLSmLg3WgKRq96X+ph214i39Hyg6YpFc9+bMjRY3SO48/AyDqjH3BU5spyEhPiNPGMGNqe9RD9Gn66G/6z+331Gj5WTqrtO65ryXinjYki77kaC1fhC4y9SyoiHHxn51FMkJ8tzFkcVwkCkFTkbIqpa9gZ9MHf4261V0cxU0ndLE2q+vkK/0XDnpqJWtesGFtZvPaf+Ty6DnzSX/R3oY132z6+G/dFw9bdJGSjNBFKeOZDdmmG0n3cv9KqjUJ16nYuww25M9vKG56MalXjDEVw3r25cUm+1LMcOeVqe+XCpPCGMvivddKeQQNNRfxCKLl5nRA5dR3Z3qaCEwSAa5qClZwTY6fhC6a/yZOEjuz2ETARMBEYDlHQBclgzOEPkj7NfYrz9CpY0V4spyOK0ZaA+UT0CczwhiTo88BHgGDOpP6zy9GAgbfeGpvCSUZFV0EJ+5cq+SI931G1qTSKKqkaYUWNWC8fKExK7mUFbesPkmHN57ex/x7L0YiibQBI/vy7VdhRj0ANQZZpCfViFNDoGAp9MGapSYCyz4CaPa0dBAeBXYLAbJ0KFqVSxQlDiaKDNSO7N2JCCRrUUgQlSOKaMiYvRHN8fAo2fvp6T0wxo1pu9en8ojY8ckpu0/gDHuxn0iBS0O08MWB4+WhF9gHiSCLdL0I6CjzsFAIXmDPBW9hqDziGCETNS05lfaQSEKvqWzTGd/ARhLS7UVzMgNOHKseucO/euSc7GLxbAQOAJfQr07ejip7YEPN5wPep7JvjYavGKY9ksU/AzjyydJswKgyghU7Uh7KYukiadGf/SfOLLAjmQQtjtFF3/yZ9khhjNJTF2CsSW87+IvWPfe2kB+970FJjt5HcrTOjxa6yIR6cPFHyYzQQRd1AUZb45rqLjnUsuk/OO/kNfdLjnxWd/JbAgl33q4uDGUvXu/qOf0ejU0ffqv5k79H6QqWdNJF0JwGjN2n3qBbV8xvLMBIRceqVE9dDhfqfJ8FbOi5wnl0DNakDzUVykxt1vS+TcBzGvOdDx/Klt408tf5PnNm+yEjQK60YEZMpcvjmeFnyO5moYmAiYCJgInA8o8Aohf9rkp64MjIuFekrs5+EAT2084o4KKSm1mOwwuqRXSDyJZs9SCMMeZA3pGIbF5s0Rke3p0NGER8mJV0UZKgVR40VRzJdKb9xBd5wMPLuiTjeLpYdqGR6dmfbYZP7t+STmfsp9mmDRhJXTxHJUZhjIolqr86d5v9WlMuukqrD1jyeuccW8E6Y2LmTQSWUATwDQFDWXjqTNUUdW4APeorspZfhcYpHjiuMTkZ5Twr/GSNGjAC9CJ3nN276TSFWDVgjNwevKIUq2vV5Yy9VxBFcxRB5Zo87oCK5aoeI8nRN3qDyzWneMjz1E17W3MIaEp5ADLDs5GKl367Y/DgXKpb2Mnpfh3Mz0kjgMkL7/K8wuOhgIWr7n+zv01e8MvihnuuItIgMxFKQIu37dKkG1yBHZQjsC1ftNlR0oAFGEl6Te9OfBXmg2e0RRfHAKMDM1qyxkzNmtznDmj5WdsXDwIYW/feJ/nReLtYgNGii8sAMJLiTSVJlWT9MDOe6tTldxX5a1wliR6/FVWfU1u6lMW37rhN+OEHf90V/RuV/vzPbvTDyBfF+kczxpxOHIJUuc7O40+roosiXFSTRRdhlSKG3PAdyjxy4QnfJgW7Jj0MdFGfNfKjB9mpknvBPG+NDs/gbN680cwTCfnizd7GWyMz2cIMdmpWMREwETARMBEwETARMBGYegTICiwpFAtXchvJYSRpEaiI1JAWJtQ+troJP1Nkh4ACfBmQBV653KzrH2rGyLs5ykZSpBWxvPy0AolkO4p8sdAyfIEhAAypsjimXfRlRot8UaFFDRjfezHqzV/vp3gj/aO2Z4IoLcCYLwgRJ2uVly1/ZVJcEdlkesJFJFIy5ckk7T7MiEzLSBmnflWYnssyAuBB7iN9a3PHOe2eJz1ejbZAgpP29OuA7E0/XvxcVOimHZzJRG662n00wkUNRgDjoZ1nsbT22wifQng66UqP/G2sm/Yw9AaJAA8xHlZ+XtIsBVrqyPDdhPKzzgHw6JgZWXVuZPbzWoHJIHlEA4r5R7lFWCiTUxeqd6R1mC1Xx30hmv0YVsgW8I+GA6DH8JMYDTXkCk50JDaKMIkyaBWJt/QpWSEBmtphDqLUGrN3sQGjLsAo9i5wnvYDD8CFenO3jpcvarro+KsYY9dJoZFdcS9Ri4/VO2N+g390K1wRexdMXix7lzHAuHRTpLHAhihqHabzL40L6449tTM/1V7j6SJXCLeST74o+ctSKVES56vTOLmaHwIJ8coRrqiMxZEmDtaRAS1J0B0HH9R92qMewV5cN+puPemryK9naV/OZinAqL1dajJwlpnqWGfdb3Rk2EpzlmeLkT3POqBmAyYCJgImAiYCJgImAos1ArwY8XJtp93pt2z0PB0t4/6vF5SPRc4EQ154LxbUCWZ04fNy8dDnZzFtQVez71NRHlJlEbVhcYEYvuAFQ08Mo2kHIASVL2q0qP/+4TGxemF657kD0E4BjPmkSNvYsEYYY544zkARVUZ23em4Ekyo0T0ySNV5fP+cGsbQZaSMi/UiNOOa7wjw7QASxd0BoGuaPnfSScTlJdMrS0gCL0CPPQYVDXLI3NQs7RkP9JyhQDzZ2tjN5w/9XKLA4yxZH2hRxwHMyNMGlyvNM9kRDz0IqlPLzb74NsEh0NM5qgWZR0BOEGor25x7Jw+axsAyF0p0WsVD0tnZzE8xApoD2MJFa63RESl6VhYPKHBuB0ER1NH4LDhjwrzYdoyjixMAxr0/Afu4S6ImA4ySPU0hPjpTblEp0NJ6szcBGEmdHl+AcQwwLqzJi19ApvUTNOrkis55GOO0NrVoOwcRuGoPIOXtogokZuD1rC6MM+6Sw+Q+a37YdeK3KuVZcUWlYFRVFuVnz2kLJOI/Tq3FzqNPt3/x89at/1dWXPU1Mqmhi/riQb4YTrqI4FkySUGLDV96OExm6nNu3VIfihbtGTIDMxEwETARMBEwETARMBGYXQR4V9UKRmddL71J3vF5jQUk2gYNuh1tD4XLYIygxUM7s8CMYvFMuvT+nNS4YtAfrO+ci6VFFG/8zc/FPPrMqUvK26VBdIx2frRDvsi7/BN3iTsMf7GftuWLtjrRliwKXcSxWrHH3z++SzNJUqoPbMuAamrRo5+U8UpZC5UkZxcns7aJwFKKADepzvzlFuaWCVQSTuVgIISszu02lc66D5pnsnThh36CQL10YGCorbmbJ8CRPdnRX7iuNfnn+dKNDG77wwd1XCeilFMfkrXr/iHqSTIwjogJ0qgfa7Zam27sq7ykUXfgL4UNnUunu8c56Q9cZSQIyP22ptPGA0+rtv/2esfRML91zc+gEUCUSDKj3yIMX8ACQ43+fhAkLQpgNFYL4+OFP7IDMCYi8rTEaWPZr6Jg1A4vPSl/nApg7CvYBSnqhC9ph46qlK4Tv2s/+MuggHHpyhfhok6iGDi/dMGpfY1MSBfFYZzk5dSBmjQxela+P+6K+OYN/ypsOfKXkEM9I2ZAUlwRe2iRL/pypV3ushjkrPi8CFT0TS1bvteHBfkYXUwd7pnexzJ75DObQXfK7UAFV1YHbOIHHfRhMrONm7VMBEwETARMBEwETARMBKYVASqPIRyi6BYTM351zKa1qZl1BlDwDs67bWfbOE2jvTWkjLH7c6N2ZCEN0hnT4v8iGco1+ZmVcVF5sQdyT0TmPXr7usfuWAcwZFJZ0sEBY+wXeRoV7v8sw5IvCi0UlghjRIiopIx1WrioQeLn68Q75pHb1n3wh6M4UDP/znNf5KSUWYxRJVbb6dIwlhnXcLMP2cyYCEwxAmh6sUj+8LVjTMxQQXSKK85VN50ty/2LA8joyAwlE0BCtsCdO8VR8ZjCgoRVcJ+3V6GReozV5a08GVha6KpCNOhKK8McKi2+mFqCZG0z3ejz4Pxio0UCiH7S3og9MzI8rmys3T7FGULBjpgoE4Hez16L8rM8nRi5nhBP4nHj92HF7hzOGZ2lHggSPZ4hKjESVb/B6BKXPJz92s3PSSOAUlGKpI3/5227DBOAm41vvqXBY2C7X7eV9tPh3KHoYiW19ZKk6h0TlejIUYX21GRoZojGzOcfbZu8OPOjlflLbWZP5ocgI9JdFWCUGnrDvc09Ke9agBEvaZlEwQhdXLqpxCHki/bRLenLSQgbl8GYwFVfIcoACP7suzyQLw7UyfXQFa9S4xNfAyf2nl3fsPqbXAatu++ipwKM0EUwo2KMOm+a8oy1mX35O7pT3+7L2eK+dEI5UNvaxVRvd334A0gNRnunCJ49mjEq5Gi3mxkTARMBEwETARMBEwETgfmOAK/kcEX7bZcZfoaZMVL9jP3C+iY6WMaTnXIpJa5Yp0vDGAUw5tZkp5bF7MuJ3pcTF1UQcyD3qXtElwirtAGj5RytdYxKxEglxt+r/Og3n95n00XyrDVdVGhR50Qr7WJB3cWC+rNJpbjJsOXNq8R4Oun4uRce3M5PBJAkawuB1GRSl2RUAktGqFCtkTJOdEpN+xxEgARbiOKfX4zym2icZZ7vdAennYUhVNNd0e6vaRWiOLslxAwlATUeBCfyeYKsZPAXnBAOhm4QWaN+CDAevll89dUQpiTc7M6nnJ6nG9ncQaWDbJlNIZIMMYxpLWIv6LfJKbaHwYARWPI9gh0xkhnUn5zWACbtzPAYW2D1SFbEpYuPO36WLhpI9nYbwDhpaP07oLUjn9GvVZxnL8UEYitdsPHmjRa//iv5pxAkwUdauKjQInQRcZrYuwAGVXk96iiSAFuT2bL+n+FFXQm/sxij5SLtA4zaWlr+ZrbuupOe7guYvLAF/H+zdZBxP+lJfqcj6hEm6NxSF/jh6hKoWnS2LGl37JB0UV0eAhipvpiJfHFATH/EyaWX2olSaDHH05DbVxjR9PHfcSW0bP6euL2oAowKMNJTT1w8XDBnpH4jE4UcteRVlV4cula6GO5N+TBByQW+WVwrWQzjMWMwETARMBEwETARMBFYIRHQZMB+59UzNIbz8PVL90TyRUYib74Z5eRKo5Yh9xDMCMHLSryIMOnYXheYMT4qP/Zg3oevHoX7wRsVYFQiRjtF2jdzYGsGfR6/c/3ZlDK6wQ/BgyWiWrQkiypRWtKfmeiAicwbT+9hld8+uIOeEEuYAOLGze8nPHLbWtpZmpVU6mCMYj8tedxQ0NxaUr/DGUmzrxUVgaB0UcNGFoUzFFA+rSfEFmQG+9X1CSeiW4Eb5MakM3uEztnPLioZ4vfE1wo0jYwncC20izxDdP/cjHL4mB8xc66iU7a5352NM5tHnUgZRuo/6F0XZlc11nU6P+LAS3UacqD7zMz2OLO1iAaElude4OraLsc5PHgp6lCOKMwoO3BsS7FFqqWNr7VIPUZQQGDeNEdH2mNQ8LgUD3yuxjzUeskCjFq4qOmiJEejT7PMO3wJsJl9rk8bVn9NGOPJVwUQWZ7R0CEtXPTJF1P+RB+SZH350ejQgtwLc3UIC7idZQwYsWwWUD+mXbQrc/q8XfQVIupWVX1RaLPlEz3YkCtTfS5E0X3xmE6abln/nX4KeOo+ddkD3LlMcgllyRbYF5NFFyXzOpx0ccTTzcMBLTTPEyZve9mt4a+c19Vw37WBslhhjG2Xne1m3kTARMBEwETARMBEwERg/iKA2sd+Q7dnEDHO3x4DtwyyY9chBDxVl6U4mM0ueD1PiTl/aFfW0b3ZrjQ4Q+WxfTmnjhbiMQ3x+8MTu9E3IljSWdJOEeOpI0WP3raOPrs3pAldVObRvFCPyRcVabTpIh20oczD/7M2Ofqcc1OMOTW2+KWHdrK1x3+0HtSpESXEA22VMEaXeNPAQqG1pipj4Ek3LbOMANeYn3DR7ycdZrmLaa1uuTlnV3m9N6e1Ip21vUjBGX+N3ETb0XJHnglo/3BR4ScZ1kGFiPYWBvrHHK7RSZL2ay+aaEbXGOS4JuowaTvkEIyJOlE/Wnk4IIycaJyoBOkWNFl70h3NVQccZxgDgwzcIBUjORCdQE0RXUpW0pPam4E9TcukEfBer5a3foCA9W9U2744WnwLKK1WFkvNRuMi7YuV/K+CSAgXHdpFwJFMSpwm+jSRL6JPE4labVZ3+irgIVPrlh/05W5ROjQYkW+qSu488WLTmm82f/x3AmSUfJGt4SPj3OmymV+uKdLQRUfiPGjRp3HV/FlfIUq+KJrD2qz+i8fQtXbGvdSd/Db59WgXcUixMaO7IlG7t1BusTdvh1wzV+WCkYuqhomrS6NF7RmdxgVDJjVjCMd1MjrqbbvEMyRgOjHUXIThiz0GarfqPt6OsP6/ensAZsZEwETARMBEwETARGClRSAoYKQxnHHgpRVVD6+ruAw4hT32GIB1JOjZ5d3qq9oyk0piI3ORNYqU8SRSxmz8X6iC+IESMb797BeIDDVj5KWYPvDAw5+fferuTUIgn9ztUyfWqeRoVXRRWUgDCZWgUTKjRSWVVv74XRtYZcOfTmj7aWUL22iTRjpvXp1ABwjkvk9PW4wxt9YWMUpOd3YVZdaAovbhmBkTgdlHIIR8cUFEjBwRFvAzgE7gLNZiCsq1ggaKR0HL1euUN3TWNgza026E9UEjSwrrAk1M7D5+MzyLWAUqOPW9OLfQ0ngdQaA+NJ5Fk4JKBIR8koCyOjcS5nnGoPXkgYnSREOLVImJPigUjJSXDPMIl8fuRoeHxJEEyWKdC1AwSKomrKDipJMMcKQj7i7QIotMAUbneR92d1rJ0QKOnMo0P7qoAKOSnMGFejLWNK/7J40ZSZpu33sfULHzuLgAN6/9Nu1NH/1Nb9bHii4Ci6T4nnOny2l+uZq8DDYVjtcuBsgXVfVFZcWS1nn0qYbVX9fXg5z9D/66J/MjjwUYNWbMoYxnW8Q90mf1X1Gfk2qNYEnoYtepN7uS3mKpQ7sIXXSFiS6iauZIL8XwcIAf8jDh4hwd6vd2VOnHhac6bdQ7xsaHe+rl8XIpZthR33W4u55VltNVbY7FRMBEwETARMBEwERgkURgMaRIEwpSGhkJ7+PuG2N1qnWISMHjfVZnbSP+0bIiUB4Jj6TsAQ8TjhYeicgGioICLuTVacb49L2fQQVj9ufu3Xx686oEkCMYkOnRO9aDIrV2UeFEKi4GT45GAPnOcwdYBXNqcqhtwOhkjHBLuh3akaXTpRMOF4pNjFPE6AOMMEZ6Bh7dIrkMzDCWXAQ+ev24n2TR7yeeL2E+qJER8JTkLDfWdUxx11Q/0BSOHOEprjLjbogYp7uuTqnGxWa6K9IfmR+h4Hk1dXNqTWgBpzPY3Vytgiu0ztfm8dhU3wkmRSCKTJQMdM0V+QsIpfjDRFLMuRrJ8t4OOdEeFFY+DZKnIuFm/zX7kHn991Ql66ViB+MwCbL7rNiZoZZiAYyWfJGqemPGLp7qDCVOy+zL2dSXu1WVyFM5rVI67wzgpSvhlaaPv2VjJXumfe+97tJoXyU9Ze8SXhfgMJ/NECJGFoV5MHOyO3VVaNWi/df2dtEXiVj/cIqFr+69l1MPcOZ66E5+p3Xr/9NXQhcG4o15FmasR9CIt0tWx6FH9dLOI08DtLtxAlr9teb135GLkGqfUvOTxPx0aj/OyYFMupHh61d4MgzWZt0a9a8EMjr8ldZCMzZnNddhJZlmLT5n3BodGe5UWwjwmZp016aDiYCJgImAiYCJgImAicCkERCVji+DT78/8jOojHDSTc2+Q9D9ausB3nNR11CAkUGC9WyD1xt9A/hHU3eRxGQUjAgXYYzbPzz1q3tErGhPzz+wFQ9ofm776JTUXbTTovPqsI22nKORL/pKL6I4ityRpVcnsdpJF/U8ZjFax6gSsevXvhVN57ef3c9buXBOLWL0ZUlDF+3JSBlnf52YLRCBSQEjHcIfKHefR5OoSVN9USFqnsYdzeeDmakE5/sAKZ8od252FQ+fGewr6AMtxHa0mDNEsYgQ687tIiCnLrGo/6Og//J4JJkdCehEJwvkiEc2p1XEjR4jbpzsnPCm33eNtGhREzkcYFmNSm7QAE9FoklsDAyi8BwBjA75IvOaHenaejWZrVv+b8Pqb2D7YmVDq+p5vvkz7pKonvTVncef6Yr7Xe+Zj9wXDkrOtVTSY1K8iPzo8OS6Bh5eWFqgT0EZI41OMBWWsczBToY6KgO0i1q+qK8TBRh98sXOI08ADNv23ANwluKKDbmehpyuEy9qitge+ZBcJwozomKF19GHNGq9tGGVFPMkabqvaI+IXTVdrAkfXQQq8mHCUx4/MngjSOBueqW+66UYJI5+XyWGO6totycoq98zJ8jWTJOJgImAiYCJgImAiYCJwIwiwJsgL/hwRSZmFtuLIXnTvN5i78LrLTOoa5zKGWRCpOyhqCFbWRhjnjBG3FWQNe5cl7zurRj+xkXm792UBgB85eHPL+TWWHSRnkptSH/BktrnRTFG9I15GZVP/Vg8qSGHgXQxUMTIwDSNpCakbG1iwGikjDO6SM1K/hFYhCnSeoi4NWkexacB/0H7flMyUdtA0xMeFU59FopodIlkWPNImQo25NMGgwwP9LuqPGjCsy/fqQjyvzxUKcOrTyL/UUCEyalEMR6kq2oipESJp6KdPc26rTOSfU60i5XWjr7RmeS40g4/xPEO9zRatfV0crTYRqd0Jf6heeO/dca+4C4+hPWGuzgKCtS+/35FFAFEtvkvJh0+F2CrAKO26shUNRt1MT0BjIPN50OMYdksgjJBFPF8YWKGn0vx0HyXhC1ctGccdFGKc4p8sS9nM9dG67b/FqUrF4MgROXt0vBl8zrJlJelu+/iekDHCHikg0cYYzZWQU0qxb5l03/0Fe1T2sWUAXyFKpMZQNjidnOgS/ghhRYD/pErrYsteFsu6IUiqhwd+zQ23HOVbxZUGR1qKhh11GkM2JJpMBEwETARMBEwETARMBFYzhFAPoQmSstpIAN+h0oLb7XUN8NIpeJSE/yQ/gmHC6L358ZFFUDzwInZKWWUUkTBmBJ7HoUh07ncKzBAqo2J2lD9JVGaPGg6QxeRL777YqQGhgBGv/xofwWjypJmlYdvE8FkZtKlMcCorV6yqas2pmC059ECBfW69TtA89NEIGgEFpvJi3OQ4DuNp/hg4SwLAEjkVkX6q5dSH9UPQlKO1a/Fudk5mafsqt67/kuNBQYJ2aPqIHsP1OYxZlgoNWDnu94gTwP9lIPQzsmRzngj+LkQHJ5pMNjAgOjN0o7rFhY2fkJHwqtVjjPeu1nRRCBEBHx19mx2BA9Ma9t1p0ZDQoe2/7Bt993M9Lo2ij5NT0qHpuYFMNpewMoFRtHFahSM2E8rTVplire3NcQYzKLFEwFVkNMmivaMSo6mzGllsjBA0RmKtzhQsXXbDyio6L54WNFF1yCAUXm7sKhhzTc7Ih9q+vjvuHhatnzPXX5S0UULMCrz6Mz+i0d9Mte08NNFwj6sTFu8HeV+pwA5IoJM2KO3rVQvGhm4PlCeMOznhM6D26BFv9iZnyYCJgImAiYCJgImAispArzy2zQAkUzgoRcX1PLuT/E3vQhQEBeZh6dz/KECZI0aJ546VvTs/Vs3/DH21PGiEwfzyac+ttcVezDvdFwxNFIxRu3zIinSAMYju7M1XXziLhExUoMx8fC4LGk7PxpUossw5mVUaMCYlXwJIAljBEowgS/webGhot8Mw+MVPvCgTIuJwFQiEELEyKKpbGH++gASbfdkGBS3FZNtesJNjS7OD9mheeNeDlqIdQ7Heb2rn71z4+PaDA1zlhakPTejHGEzMmnKD/Zcd+tPAF3tsgr953AYfptCN87Dh73AjcnL9lsa5p/VyqwHHWPgfhErtiJWRPGeaUkcGTNyR84m+d046QSustJbqAXgHZBsRPNeP+tLgbRlXyYsgNHBjqpSerPWte+/j7RomzSSA9uTuRZBoyVCUzo0izGKF7CaxA4Yv+nx+dHV6bMeqdlAOCKAQk/ly9tckRmNFrk81BUi9TnRLir3H85yeTw5zq07fyR0EfJcbwPG3M4jjzes+vpA6XH3pZiWDf/KVdS87p/7S6Lk4pHO2jxas2itdBXt4lDr5XAcp2MfXlU+0a9ywujQAOpToYtjxvS3bva30TJYYy5mR/jMrImAiYCJgImAiYCJwIqPAJ9bm+qvQyqClnQjaw8j6bISKz+FN+LCnGpX2qX0kxche5oc8leMYA4VHIlwwRUFLX6RB348utd1ZI8req8Lq2hLxKjyo9nX0z/5FK6IWQzzGGdo2PjJm9GIHp1o0a7ByMzW1Sfp9tsHd5RQ4BGRJKUdAYw5V0ArIQCj5o1GyrjiL/MZBgDaE5Qx0siiGW507laDztVUttqYERLFhN4YUkepRud+6FleLKo5+B5kz7lo6vM8K2Bc/J10FUTI7EvbSdMf8xdEg9yGjMFPj0c3UKRYnGTI4OfDfoVjr7/SppOLiRWfVCYd/3x3gMESItubhpIUWqzIs5QgOCdoMHGbSqb5fI950W7/JpbHvtJn9iA9QA8KqVEhsCpFCsHVZGDZMFiXPdSAnupLEhiHmoqGWi4MXSvBlAFo4PR/sTeyAmdw07byo7U4Tcw1JPUVP1/JeMXhtzKZyoo2Y2SGcnnthx7pzd/puUo+rBI01govwld6APPu2szegp0sFUdgn2HHUEvJCoztkjtkoc1SjTOALlrFObW9ONpFdYWgUK3J7M3dxiXRHvWwXAkyWfnRfV9Ke2f0c9x9TGBGTKX1xdObvdFdHte+/4H+0uNywQiLtmSuC3Kd3LzRItjQYXFOzUzLa76ryu8kaqOoWyMTVrfw629+mgiYCJgImAiYCJgImAiskAg4iy46D1l7IuBnSiMZjgVnKnlP1y4q1zv7AH1QviJXTVxUPprG6L056fElha4qNEJFOTXAvcyTJfBG2l1pZbw7oydERLTq1UOgwl/f+1khYOF8AxPrauT47M82n/giTzfyF+2ins84WfLk3aJ13LvpdElhPbIoy0ta7UiJGIOkSDvVjEbK6DytZn5aEeB6hihi6cLEDD+ntfp8d4bggfL4QADEA9AFAkC0jkA8sBWcH6ilRYPTHVVvt1vjL/00CL261kWXFNYF7QYuY8DIKSkOieqSIoQ2UkO5F3SVmTUCgdEK2hJKZJMh6hzObBezWQs5IunqSqw45h8NAi0vaQIqEp+mq9eZR8oIlQ0qd5zN3pfNulIzrSJJfBkqTtoHReqiTR2nMgNstNddyTMwWEuiBkQScRqAUVJfBfvUZgo2rMvuiHoENNR7dl3XyVdbNv8X83rC9rcr5vn+4kgtSINGekS+mNm25ycN7/+l4CNJpE0ZuJIcNjvglXwqZ3ns0EV1Mdh0URtG68R5nRmtjV1U2jv0WF0h7ktxXAwtW76v6SL2LhRghPBjJ00Nz8GaLA0Y+duT9p595WhjF/yALKWrAtGeupxZHsIMVx8d8ZQnMFFxkS1wrUpZxUsxGEUFblBCdClmKbr2BB6LaTERMBEwETARMBEwETARCEMEtP8L2YVARSRGoAAwo71fSMWVy81oFw/vzo49kMursUaLED+tLQQz5p6uOLYvh6TpnIwKKB8zWq8IVFT20BZFBDaueeWIXvTei1Gn40tYquhifUps8a9/+hmLkC8CMy8qH2oNGAVv+sowsgUnUQw6b6SM9rkzMyshAlQ2qKlss/GdnUDNzUJxv6lnCvMBgnoIejvMTPQ9whnSK2Ut9J9itUOeMJgjU6JhZvDTuV89D8AEzdkHDsSz5YK6AxgWgucsX0n7FLSZgbuaYQtfT+zhMQP7pdot1jyBY4DWgnZ59pr86GnE+qaXpOnRoX7MXEY83VRLu+luJ6Vx+EYzNdZgBVROIxcS41fki962y8iWprHxZdp1ZGhgjC6SHy32Llq+qHKcAYzi25LR9OG3mjf+u2S2Knfg/gsH0TTa/h1Qo9at3+8+9bq77ASAsR87mNXfaN3+P0qWJp4dbGSZxm9ZHdbEdJHEeYUWhT+Po4vU2+TkNm/4F66B7uS31BUiBRg7Dz9GS1/uFh9dxPPlS09lCo0dh59AASszhx7BIEZkrkq+CJ9cQJNxFM5gQ29LsXy84FNFWexELjPaUZrnzLI69+ZgTARMBEwETARMBEwETATmJwK8g1P7izqHCI14BUYE5feSzm5JtzwdX4xGEXYBV/SbBDO6ql0pZUcjXEnR5wqyqp5RqPC9FyNRLuFx4Jsa9Ezs/txn7hOWyPTSQzvfee6Llx/+XP987v6tjOFiUT0KxqN7ciTnGotqyZKGMUqWtJomZ4wAya72vvkJmNmqicAiigBZ0twmmmKhHEYsh8qRix/0p+v7cUeTvBxixBBIXSaRG58blk1B6qaYGw4NQ+3M02MqNDLEGKa7CLmmHiqj5ZsI2eJBc6I5IjqgadTbZ7RUl+WrBKhzunucWf+qy82cBXLG4ZyT7hThJQ9YyjDObF9mLROBqURgqKNSAKOVAKsMfEW+SH60yBelpiKF8qpTuxPf6Dm9SqyB1SQcSZXR6/tyS8eBX+rUV5ARU/Pab+ufPRkfWfLFypTwV9WbyrGbPs4IDLUU+2dGW1eFxs6OuotK3SpSVdLn5QrJ7s3bjmC1M/pZ4c/1ue7L0ZRebIv4saKL2k5a/a3PoQZjd9LbVDNwl0Z7JDnaBxirM8JBF4c9fFwYrHOBUuGE3pbztrAWYIiCUZTPZfEDZXETfn246R24dGKwOs0ZOjNvImAiYCJgImAiYCJgImAiMFEEUAFpOsFfFIOB+hmK6yNnAiMga0TKyLwP9EEaq0CLtGjkqGxfcj587Si08Mkfb0TWeLFAPCkCJ1bZuTb52fu2aK7I34f/Z+27v408m1KGppH+sEoaX39qr/i8KKsXvQvfrqumImUELMyVVmqi6Jl2E4EFjICWHHPngvjQxfmNhCRlTeGA8yHq+zXWddhPABAlIkO/7YT+2VArq2N4HbrbXC2lnoNdwxC9H3UXQydE8zyB2lEOsVqIq5WkHLbR8vzh+Tn1Y0ffSDCNZdXUI2Z6TjcC2LX46GIyThwD5ScVXQT7SClFkS9ixiGFFimsZ9XWUwbB8CLlFCyk0TVQk9qTvkZspld/XWPGtr33DVRRgFE8O9g+OsnpDsz0D2cEhlovBdBFjZ19wkVdllNKm+rKnFwbWSp9/oxcHnWu3uwNngYKMObCGDsif8Fl0H/ugPaSti4Yrp/aTMymO+NeUrJYsumVDRCSyJoMG/TN31EjY7YQoq98q+BESi/WZeu9D/dc1S1OVxe/8cAk6YMK2q/d/DQRMBEwETARMBEwETARMBEIGgG0QLp8GTKboBSCN3o0Qhd9ldYQR5G/DN/zTT7AmFOTeKxw6wfi0sIUuS2T4o3wigmnQjxcak5E5h/efTZyR6YrVdBi6fl65ItIjCjeyEZ2fJIkWdK5ImLUWdKaZ04dMxopY9CTbhqXegT4EIAeWINB0NlEAkLUiXRzVjwIeuB0QwkZ+HEhaGe/Rkmszq5CBe31TlIDn+3zMAH7IzhEFB0aDPrtxf6JwI+jZo9sYWTYcr23lwbO0E1HSf8NTKMOXGUBW6jByDhhtgs4hiW0a29HlfFtmdb5gqs45IvJ3cnvSE08kS8CkRRB0oBROXe4Lx7tK4zozdncl70RGCXUSNSMAh7HXKQxns7Z0pu/XWkXlRUInjt1rmmNynQOcwTIBfani5ao1addVHSRdGahi1Upffk7e858SEZ8T/pqGLJyjrb4s8qgz236+FtNH/2NQtDYuygWLdeJq69gN+Cx+9QbaBfFP8iXHD3s7prvQ6ZCAmDQUx4PPBT3eXJ1hoeGe+phngIVyxNuutsYA3VZ5Sf50devBAxplHVZyoEELDINJgImAiYCJgImAiYCJgImAhNGgHTIEJIeuB8e005GgSwHpY2uf6gwo1Iw5tQkHC585qciSnz72S9QHsqUj/d0DX0ozOg3KfBoiRvpUJRbY2VSFzZgPM1GXn18l9pIHYIlBFp24UcjZZzwRJoFKyMCJEED9CBR+DFNV3A4HxEiL5vB1FbK+1qIf5Rq1JRP/+UBEtTUPsQWWEQqNJQysIZh4Fpd7f0Y0Nh7BGyGThUP3EL4W3gUM2AAbPh3vfT2ODoi7/6N+VMZ+ejwV3T2rniTF8mKrRwTqrXuvL35479zl5/0VGMeLf7R2uGlr2hP6647tTTR/tuy6bsYvqiUWCVixPmCZGrJmc0cwFxY8qxTqb6IgtF7Pbjx01TOlOkz3xEIoIs4vHBJjF0V2lJcCxd7Mta0rP9n+xqQmdV/haEP5FA0rohaUTDWnaG9ddsPtJpRgWi5Qphad/6IRe6SowowpksBxupUhIXzfYyUY4UZQhGDFE4cHcVT3oKKaiSgRfkJjaxKlW8WA1141t/sbRzkeqaR5OibYSqpMd9hMds3ETARMBEwETARMBEwEVgMEQDu8c4bWJONPD40imOA0VV94mD+5+tSyWs+m1gqssM8mU4dK4rZJ8Ub9U/9F/AovFE7uRTUJR4rwkSGTSFfjD2YB1185PZ16fHFykhaeUnnWozRiRntZG0ytdUwxv5q+On8i5RxKsa4iyHgZgwmAhNFALBGWT8NzS5fuLp4KgBwR3OPT1pmkBKIQEW8qhEWYhfFgaCgnuhgZ9aOUAXgqZ9abB8Si2qRGdLJZ7bBcK7V0+VmqAw4nDtdovsaldpoMUNNhVMav+pMtuOUOi/fTqIztOvsVaV0xr4A/+k68VulLsM/GsCY3XH4ceFIChm1Rz3C0vb9P6eSntWTgnvlJ3vzdtBTyvEBGMmt1qmvPsAYjtp6y/cczeuRiYSVNPYK2zZazzjoonL8UdrFjK6E38mVsOpr7V/8vOvkH7pPr+o48gTWP7qx88SLg/XZ4ERPVZo4RK/+Zj+OP7pWJ3SxztWd/DY92/c/YMkXhS6meYPZNM/5IaM55OEAJAy6Ze+1UpYO1qTz3UF3wBkKkEij3zTE94uRSZT5QXdhGk0ETARMBEwETARMBEwETAQmioDmAEFzMLWUUScsI6Y6EpF96POz2mZaNIe5NdRUpBFmiOxQt+i/JEdDJEqYCuoyk0pPROYlHT/HPN10YcZtHyT6cqtFCSlYUiVKy+pi+FIjG8RcRvnLjNc0WkYwGjk6GSPzvLl/5QlleDFREEy7icAiiQCe76C8KdJybls8lGF6N3o9kLf5OwRsYiBjtkGJ13uTPF9uYW5zhhr06cE3C54VPDdmlisdeCzkaEMRMbVhJEx8gECYTdkHSeJ2VdM+rxEIHM90WxinTntfEix0ukc3B/1HR1EWjXquA0lGh26ISEkDxtHJM+XxlaZziEprczC8Rb8Jb2+rMz9agaakls3/B8NotF4iX6w905X4GlCoeeO/9eVuQ6yo0l2/9DR82X7gAdrdF495GnK6Et+g9GJP2rtI1ywFI6mvFNaDTV1JHmxa6RR30V4IE9NFB2CsTtWZ0b1Za+VK2PCdvoJdUpZTZc1z9j1Xz3SfelPb+lB6UVLmG3La9/1MXza9rk0DNWn4uXQef5oW1I/ATDs5msKP4QkO8kVPVXLQfQ01F/EoGKzNsnSJONEP3dA9R9xdfIMYasilj7etlEdN0C2YRhMBEwETARMBEwETARMBE4HZRAAXVIAGb+kTbQQpI1UZU2LPR+3MAhUK7lMMEMQXvddFicXs1DIMXzISSk7HFWclldKu9Y3AhwJXFasw5Z8R+eInb0QjX3zplzuBimINI4BCTZoxKswIY6QmZH5mJaRRYKNCjtrJ2iKNDhuaQMxopIwTnUfTviQiADGbSqov5k1UNOXO1bSNv1icANinsu7M4oCikluYBwVZzJB/V1pZRuLFlLjzp44XJh4tAJ0FYkaymBnY7DOCUU6SoG17uPBg6WjpdeLERlWJkdzqmR1aGNbivBA9ojEVIWgYxrMYdzE85KcvGvezLE4oWUWipzKJ3Eb0SBRbAyNg6CDaJPIlUTTdsPzEF+PRzf+YBpsKxwDjFeXlUZ3aVxDRsPprnTHPAxgRNzZ9/LdNa77pLqXunKKLjXmDjXkAIvRpkgOrLIN7Tr+PgzD4qDdrvTgLo2DUKdIAxqoUMnDn/1DMHqYdAWSl3AsB2kWdH50kula5JFIRGUpydGUSufMYQ/cXR+pkZ8vxR10VfYV7uB6ouyi5z1KZM4c6jS2b/4tLwjk1b/p3d8lhmy4OhqtAga6HEKRw4ujoUFOB0MW6bPTPRJCqjOgYp6qCnnbIzQomAiYCJgImAiYCJgImAiYCQSKgXRVCZzKCDiAJUTuy4Iea8vGX5OhDO8/GHMiFHx7amaWnw5+fPRqRnR5fgm8LFJHk6Ngv8tITSjCRoYSjJEfftjYl5jw/mSwRo1W/0ZIystaq3x157mdbEw4VshEmWxupwaY9ADuHGsxopIxBTq1pWo4RQBmok4I1VIT7UX6QSUv7cHSaj7KNYE8SnzvbexEuxh3KP7on+8TBXAZQkF3J7cxXhmP7XLVXghRppAwCYHDGud4Yx5AzbnNUmCqG0YFnFReb0E+wwFXC0wIaReEpdW6V6pJQBB1/eAazyPcCNxBmiFUEDASnCQrHKXeGcZgxIMnRXooYb5Ef4LwOD76k4JLWqmmalEJBPORq0MX2gw8CGLtT3wEQdSX+QcnSAIwYdsiEtQft3UlvM69rMPZkfkhL87pvS+0+8qMt8w42mG7yo+f1PM5s4xPTRQ0YMf5OEUWrDzAqhvwXHYcexTAaUqdlilrOOnDxWBPscc03pAwjwLn2TOfxXwEhuTE7417WykYwdefRpwfK4oVVqsxoyjOG7cIY8XQLRfRzZhkdYfyqPeeWrXkeGWaQA5dOiAuM+WciYCJgImAiYCJgImAiYCIQlgjwYs7LL4AixN5woEZVyNsxL/g6Yzo75RK8UU+xB3PRLqbHFafGno/ZnwNjTE8oRnyYlVgasz/3RFT+hfyac67q5x/YCmD87M8JiJ1EvigKxnpforQlZSSrOnpfri7SeDq2+AK1HG1xY54ijUrWaKdRAxtty2k/xgiNNKmIIc6pWbQUI0BCNFxd0yqdIOw8CooTwuK4T903Bp3t050HJ/b1Dlxr6r56pa2ipBnFYKGrCtXiudwr3Np8SuA25y5GVcgYkCnCNimVkHi0MNBpmg6MdmbaQrTTHIs+WL6DYIQ93QNZkP6jI6NklBMcvozowfOX84KSE/HnggxpKe5U8j3Jem67LIMn/X90GD3SrWEPtg6jg31ABhIeb7rbqa7GXzsLcike6ZyM2WftAWAclw8rirWq1P4LBwCM7fvvBxv2XzjoA4xWinTbrjsQsyFy0y7SImmry9ZZsbBHDGLE4QU2VZky1FIyJ6M1G5nbCCjxqrPuYqJoWa0J+aIGjEq+KM7RmZ3Rz3El9Jz5RMihJEHrKyGXi6dlw7+iX+09u17LWTujn5GeGWvUVSEXhoKKaVJ30bL+SQsDXeQexyFaB43ngHJ4iR+L4eiwqDepqCCeUONKhSBfpP3mDeOrNRYtM2ciYCJgImAiYCJgImAiMK8RINOQEoi8AqNNCtwRL8s15a0spZaaR5U3lDJoZyqP7XVFbs88sjs7O6VM5ynrvxiyuFLLyWimDxQiel8OqZRQxM/ejwcbvvDgdhSJFl3UjNGBGcmYhlToIo1b11hFGoEbkkadJ9XegpZqFMZoYUZ/HSPIEe0QTCbwuEyLicCSiwDQT7tLa3JVXRbkpUl/LyAbd+pHh7wQlIfQrqayrfR8gyghMwBifFBgqpQ6itlV576sAfE1VLdzryFIbqgbe1Y01V8HNhZkVfHRgS8Rfvvtau+b6Nni1zPwJ7c86/K4WBJcTsSKTd1EwIaiDJ7oETfAL8w28ABNS4gIUCFNAGN7WYg+ZpEdAXCQT8EIYPQBJQonClBS/tG1Z1q3/RBYJNnlPqCEZHGgIgGg1BZxj9WIazApsXUuEBOdu2KeUxxJ12BMocyjvUczM68RGL5e7S6O7E56qyPqYSZm+Elj4E7FOnzM1cXHFYUzO1Cz0i6iRIUuwgZ1BcW+nC0iX8QqWl0P+Iy3bv2B4MSkt6yW+pxe16e0kA0tpj9SkzPA96cmg28BgaOaw5aRwb6BcoSIMRhA680ybPnpVpr5m97Buix+DjUVyZeI8f94gLBouNv4no+Pi/llImAiYCJgImAiYCJgIjCfEUB3RCYjr8OwRFv7BHjE81SjDPIuqflmD+HK5WYES5RkzE695KcbVJixGuiHnOnoHtepY4VIEHMyKh7/0XoAI1nS4AJwhJ6cpLFEJU1/8sZxur30kBRplBafxDF6b05xvuRcM2mjaso8Suq0zxEmBGNkhEbKaJ87M7NEIyBWJsrfBK7IvckdxA2LejDwcC6fl4RcmGHgosAWDGLoHDhxc+WfETEk0Mzp0lJ/pY3OtiIRnslI2CMMUBdCbGkcVzm//ko7/Wd2A+qHj/1EChz84mlBneiMIc8oAsUpcBaKXDyjXRIjoaDiQGn00LXSJTHahR3kyNCADzHBl5RijXxYTJ9RHgpdhCnhH32mdeftwKKBi0dVAUaVH92Y361sX3ozP/EBxhytYHSXHKJze+RDKNa0gpFs2YU9zJWzd5gYCtLACdKIeM8ZB+/1Wgssa72iBRVV0UXLT1xlRivULBeDAMaszqNPcXK7k98Zky/WZ7ft+QmNsEeVOC+aRvF8qXc1i6bxL0QPSRlP7Sou2kXFnOefLnKwWoWIRtHmhwBDQiQ+0V4PudvMe68F19YawOi8Wsy8iYCJgImAiYCJgImAiUDYIkARM+1BwGsy7/Voh4CK+pUZAWGvgy5SAg5dE4vKS5rge0EBY1ZyqZRl2+tCx8imSIsGG77xqz1Ouoi2cAwzKuSYcKiAbhRpTI0tZjCllsSxjiqOtP/p+QMlVrVGBI2WmnHqjNFIGcN2LZkdzUcEEBhz01FxUW8cvRxqRu4+J/3TizQzvFrdPsVhoFqEzwMJa6vaIIdkImssRnYzib1lF8aJErVCkp5s3NM/SM0E7mL2qPfFMwHpI0pL30h69WOEUopTHIyzG3vhkKdISp0rhn8euAqMpTYmYsWZHWz4x7zI90hGpDCEhi8X+TgXw/AUZVLSNeFLycrOwwEYhSmdQYHWlfi6EKS4l4QlKnsXwot5B4X1Bmuy/AAjfsHCoE69aQPGoTajJg3H2SYtPRAtOlvooMeh8uKdkkWbKyJhVZPP2EV4ICBOULNcDNpCGuDsky9+2Xn4MU53+/4HfC14uygta72LXbOoL287q8vEdlTdRbLmh3ua5j0io9RRFIMnarSO7Wt0RC7LSzGeigShi7qQwtjisTl8oOhwy7nu2EIzZyJgImAiYCJgImAiYCJgIjC/EQAUgAt4UwYswByQNVKHzW+XIA7e+isuSs3GrzziN+FkjIisMIwGLQIYxeoFzWF+7eu/2gMhjNqe5QOMoEXnJIyC1OnnH9hGt83vS5FGoMdloY4NiCF10jTZ1n4FGwUz+ukYsynJGCRR2h4hSqoZ+034xcH8NBEIWwTg/9rt3WkS3XGtV5Dj+Qa/YVAAkHakg37t0/0JZuTm5WnQ2W7xQ70FijFyQw0MDJaXNHJHO0km4+SWZ5WaylbbiYb56e5a90e7yIGwnZmtHs61yIAONNEO5wCW376Gb7QIYKzNXH6HNudHhCxtzD/amR8NhBGsJPJFAKO74iSO0k0f/Y0bEWND/mBjvrtYZIodkQ/ZojUkbVrBqIvv9eXv0i4eWITMdybsnIdlKW6Qa97JEoPN39++7366Dbs7rSqLY6pFGypqSxeHdlEAI2wwS2tZPXVZzeu/w6nvLdjJqe8++QrzbTtuE1t2K30+x74S2iJ+zFIMo9UWfNrF+aeL2pllFHWuVVxx3PmkEKtH5U37u704eg33XJV1G3IcbWbWRMBEwETARMBEwETARMBEINwRCChjMzYAzTTysiqdKh2qt9lSRvhe0nHcpbOQHQIiNGB8/ufbIYeJh4uCAkYICdPGP52gzwu/2A7T0C3CGM83rH0zmvZ3fxsZsSH1T7858Moju959IXLn2mRqvqnajA7G6JLUbOX5EooxiiBzatmjY4dt5kwEFjQCGrUhF/QbBd5MIDi/rGStYCS12a/zDH4iXYYWohN20jNdVjEl9jy3Unlp08j46oI8GbjxGRUT3ymCVnad+khYHV469f6m5/KJAMql8gRMYI36KPQ5FTccP8SkC+6p/GiBQgBGpWCkuGL7oYeBRc0b/sVdHgdj7Ix+lp99+TtE0AhZqmdy4SzcX3ywYfU3Wj77T4/yoRY36npDaUKfhzlYSonFYETRmSstdFGmg7/EuMf/vIteUaNFsuP1JEU4xQRcyRclwVmhZmpsdp16jVPfsv47JErLzKbvYgbko4tcBhZnpoBn8yd/z0SFRtmIL19+qHV+5ayYNyFc9HZewdQJSOgNVnzyZm+juL1I9cXC0ZFhvxMwfKMZAumpTBonffTrZH6aCJgImAiYCJgImAiYCJgILFwEUOmIAUR6eSC7sKWMrpRLkTsyAYyu1DK4BApDdIZ//M1BIGHExjQNGCmuiMWzmhcdIxTx2L6ch2/7hCkp+tzlc41l565evtCIVPLUkSJWZHrk9nUP/89apIwARnKoaXnyro37Np0GccAwtY6RbWIuA2NUmLEK1KknW77onEF2ZaSMC3cpmT1PLwIgce67QFcXFIPQPNKQnTYo5CnTmVzm6e1jgt4UXIUxXq0dp4fMz6qSjwiReZ1tY+X9gZAInvUjggGgPKScgt9WneP0W2R+mgj4RcDbdknTA79289MZgaHWyxhAq8nmS2Alqi86sVI2TEm5t2RrL2nSortT/9i87ttMqhAfJRktrERNv9YtYvbRl7vNzo/2GpsMZ9DnZ9594eBUAGPrnp+17Ly9O+ntsfNuoUUbKsoFgPRUJqm76KvDqTkzTtBiFH4GZx/OMlPz2n90lwGctZe0aBeFMysz8c7Y39KhM/YFNmLVXaxODUNlVPxc+LjA7U+5RSCht6sqaMhxl/ZgcCO50icpw3jT3cmKw33XtAsMXyhGBsbVBA66EdNoImAiYCJgImAiYCJgImAisCARqFZ20iEMatE3xuzPBTCeOnZO4T4BjIUuWMRZkOCvf/opROLUsaL4QwVMKTHnYSPQxdNxxdoCZsM7sRR8s6eS/Nrnfy5J00zr34k9l1OrE6tz08u3fZj49E8+pX3dO7EoHi/gNJ3HvmqskoyuGp+UUQsaJW+ayQkYmTdSxgW5isxOZxAB7JZAdkFzjREZsoiLGcN3tkwFRX5yZ5GyO4MdBa4Ch4cZcr/Y2dk9Xf3caKfjSk7HF6NR5HsBQkrck5ln10yUMggUCaNs1HpLu2Bj4L5Mi4nAuAiMjsI6oAfe9vJx7eaHIwIkvVoF97R6TXu7SJU8bRls5UfDixQ4yiVXuiPyl5os8bdly/d6zq7tLzvRXxbTV7in88SLsEfa2w8+KGDKqraXgo+MY59mdl4igH1zSMAo2kXoYuvOH7XsuKPjyBPjqLJ13hVXFLdoCy0CLSmk2Xn06d6sdegbJVmeK6EOgWIOCLply/c510Dm3twtCjD6MqOvQqSzu0+/17D661TpRNzouxJSPXVzpGUdHSE7m48IE4VSixgVPEwcaj4/UbdR74CFEy/F0NmecEvHfnqitUy7iYCJgImAiYCJgImAiYCJwMJGoLdbEAcMIYQGiVTN7JTS2AO5SdFFuEifOJhPMUYmyif++cUoeOCv7vl0/2cZafHnM5NKMYMoPFO9Z2PaY8pg+jcPbEPrKHSxWCZ4xcZ341nl0TvWxx8qRM0IiiRp2le8sT7jZOlT92yiQ+T2TFBkcV4dmFGpGcVa2pYyCmm08qaDY0YjZVzY68ree1P99ab6TvunmXFGAKUitx6gL6grsXZqxhIF5xdAOvfpXMkX9RiogUBVBF0LkdKL3GXcYtw4SBahhezdRovca7bBtD1+lM901n34ix+KvcjMmAhMFoHR4c4qT3nCYN2Zm71NwITJ+q+s5d7eVgdlsgRsE+jWRMGoxIoI1b7sP7evddedNmYcN7P666ROs1lbvjjYWLCywrpAR4tJ9OSAcQd08faWnXe07r1XwLJQZed5d0gWa9KxhHae2aaPv4W9i9KyCm3menBXJuoSi3Rr33dfT+aHpF27L8X1Fexs3/NTGlmFS8W+ElhlxOuvS59ZtFAbahjo/HyA6bOz1OdNCrGqJGhPReLocKj9kkmN1QukkWsVKeNw7/y7z8zssM1aJgImAiYCJgImAiYCJgImAioCV8paABdXqzsmigcKpfwscZeGHKbFncfk5dDnZ4/szj62Nyc9ocSVVrb9w8RHblsHEnzxFzs2vRu/6ndHnn9gKz/1lHC00EaL0MXUuGJyohU/PFOm6CKA0cEY68mwTo6+QFY1SdOW+YtgRmGM5xxJ0wgpraRpB2YMlDJSVm6i4zLtYYgAqbVcOUyztyYJw2gXZBch5H8UTeUWIHo6PZmecztCqCa6Ze7utuae0qI6NMnckloh+dVXXtSM7Jql8GEn/+zq7Oe0Uk7BTpq+kFcD+XT2mcNxsuWoHWc/fO0YEzNzi1jncJxmU1OMwPD1WhEv4eNQnqDdHCxtUlk8tIGsyUEpD5iGC8wgzhRKnhcaQUxxv0ur29C1kuCUqSq1N2drV/Rz7VEPte//OQI2Su31n9vvYIwKM1440J38Nh2aN/4bQrXW3Xe2Rz2M5g3XGIspoYurSgmHWfDSivv8jHYywPhA6667hS7CGHfd1bbvPqviotIu2pJF5ROdySKdAU36c/v+n7VHPtS89h80bOQUSx91y3A9eBpyetLe07JVJ41kvnnjv8o1o+suspeajLmiizp+2oSF+5rik7R4Wy4wD/l0RlcKLSpdIoUWne1m3kTARMBEwETARMBEwETARGCpR4AM6BBwADwIZwBEoHfi7Z4cSVrAjEcisnUlRrI4sxJL174V/crDn5Pg/NLDOzb++cTrT+2FIn78xnGdGQ1aZC3g4Uu/3OFoF/miPdkixtIiuu2kG/UeFWOsL8mvI2NakqaFNFoZ06itAjCjf7o0yBEsY6oyLsglqk1JuHj0RCb+ggxjke9UA/z8M5UYvgQOFV0xNtMEkDqN9k3KPVhT3lpT2YZVCiQwcK2pt/Th9pJVAUXkToEoejyWmKT+Shs75e5z3jsMprqihVIGJw7mZiWV2mdWz8Ab51yqygMHrohM2p74aRjj1M/vIuw53F3vqUwGJGqrF4suOlIgA1tuhdQ4LcJjnOWQoD2qLJ6/hq0n44OW9f/sB4v0z+Z1/9hx+DH3uYO+gnu5gpisSeryiR0M9EkX3FN0EVQ1t1hplke9jFefOEVaJUfvvqtlx21UX2zZdWfr7rs7jz/Dqek49hS50pLCPK7WYlbH4cc546gTcZrWHuKk0nclvIKNOO0kWbPuGGOsc+Ew3p3+PiiSK6R1y/c7Dv5vd9KbHvqQaq3T5KGLnrGKu3N1FvR3BOGKZPrzt+7MrZv+/6miDKO+2XkmzNV+zXZMBEwETARMBEwETARMBEwEFnMEutr7oQeYQYBB7HECOk4nFB/d4ypyVUH8kBfCGJkEBhbWXSysizmQBx585r7PzuVesUovSnJ007Y1ibSTHJ2fWUm7MnxpHAOMKlH68vl6SCNkkp77t2SUFoqm0cKMBbIXCzPmYgHjq82o1Iy+jOkgjBEOaaSM9ukLzwwewVw2XDyAZfcND2eH+Qq8iVVFwfCMYansBWCInwuIj3RyDfT4y62nbd+vNfc4s4+15FgzPXVvVs7S0BnvGBKlYYzs0Y4YXxPYuK07JRsaeAhCTDhaQG2ElDips8p+bbeXG30eTq5apc3eyOxnIndk2WjRnqFx9ls2W1hEEeBCHx1GpkiiNBmRFFgb8XSPuLsweqBc280bCHelDOnK+YewEEwkk9awSdHFtI7DT1hokep5n/2nyBejnwU0ketqtStfj9add/QX7la20b6ye3h/ABhrspRZMI4eaXrjYXD0WDmnLPSRTmDyInSRMyh0Ee3izjtbdt/dGnFP9+lV/UX7NTBs3/tTT2WK0i5KyU13SZRQxK0/sNCiPrP8vZrdV7Cr+eO/YymCVXfZCRijZEyriosUXVR4Gc9xCLNIWH3aRa6E1GF3V+jBz3ipt6Nc80MYaaAZtN7scOcV3Yc6CTPekVnRRMBEwETARMBEwETARMBEYElEAKqgK79Rg9FvwNKedhlVFaondIw2ZoQEXiyof+3xCPAgmBGESNIliAm6mHHyIp7RtK97O4YWmTRj9IkYqcSoYGM9Mx+/LoCRXGzUjKWFDegn2fKmd09gZl1SIFJGnTStbaZtKWMIxmikjH5ncF5/9vUOaLoIHNYptwBqnXLLKTaMMTD45B3riNnkkJmghQuIJFElQ7n3+gCpyoC+iXoG7iWwRZ8pdm2zRN2H4pDc41cut/ATJSqyYVycDn9+FsCYk1EOCNXWM34brK0U3WPQYfv1nOLPj14/bnNFewYR4xRXN92WRQRWFl3klA02nx9PF9NJhdYUsePQY1KJsRZYpESJkEO4U3FUT8qf2nbcZpPGjkOP4vRhUaa67IHaMwO1mQIYRbQmydHkX1PmcVlcHkvgIMgUDsiS1nTxnpbtSrsIXSRLOuKetgM/778QyWnqdW3U2c2t2384UH5SEcUzolTEBLwwQs6sDQ/lGhDrFnfJ4eYN/0qH5nX/1H/h4IBuF4NpLhUfXaxWhBnILJdB6jzmyI8OD9a5NDyk3CIG0BOdJ8ozSjf63JD/3Jh/JgImAiYCJgImAiYCJgImAss1Apjbggsge4EHWJRbA5QgqROPmMtFDZoxghnJZUbECJo4sDXzclG9AMNzwhgRJb7yyOcwQ6bo/bmaLvoBRlvKyMzvH9tNz6Tj55iX1Onz9bvXp9Ly9jP7UUiqjGmVNK1qM4qU0ZcuHZoxImUkHzzwcEzLHEaARFpwLlcOHBhOZW8ZVV6xqigIH/N6h+12M6Mj4PXexDOFmwhmyATcs69VUP9EUYLWcscRbWDjRH0maucssCNqq4L07fxruzM75VSWlTSmxlJ5NRsfeSyceCYwTruP3wwb4VsAg3EKnv36TOtnUMBI47Q2Ep7OJG6bWpFzGerRUeSL1GejGONcbnbRbwtbZ6UwxODDMg7uc20Scrjqa92n3lCkCFikJ5sxCl9CsdZ/7qAu0Ef/1m0/HKhIpn2MLuqae1iHVKKNTJt9JMi07U56C3TGxIynOnX221yuW4Chjfd5Qbt4r6q7CGCU0ostu3/cuufe7qy1CgJnQIP7C/dQaFGA4aZ/7y+N5vzCjZvXflvoop7GGKO+ALLdFfHoG1ml6aO/6cvdqk59lrBlwcuaMIMWRbjINTbUeWWeoo1eUWdGc//izKL4YRyC5Il2N5U+E61r2k0ETARMBEwETARMBEwETASWRARgC4ACJnefJ3DAyAgBjKR2sghwRLKkSBklXVonSkteM2CQfGd8ogGJO9cmgQcfVV4wZ1PLaNGTDRUt+aKikZhNaAfq/DNVZeeugiizUy7RggASGSRbLsyulqRplZftkzJOlTHCvsCbX/lqzQUemmmZTQRsv2PIlc72dW4NZoUklYuKS2VoyDBGZ2yCzCP+5M4ieZmIccGTpKzloH5dRWnsqibNOTDgfj39fnIjsOXC7MrAQo6QYXZ9NvkS1VaZkmPOkUltJ0Tr7fCzt9vf/JeEbrY5V8UYl0qKtKkV6XdpzebnyMB1gAOGL1r+RDrnbLa25Nb1UpjOTo6WQnmpzev/BWSEaYuPK9qAkRnFGEWlZiEmZnrOfOITv/23pzaDtcbki4osIV8car08m8iMDt2AKI4nZj/jJ40sms2Wl/G6PemrfRHTdJHMaKY7SI5uhS5G/KQz7iWhfwhNmUhnrs3qv3is5bPvCmNc+w+YPncce7Jl8/fGAKPkQevzbl8GWZRttCDz6q/3pK+yuKKwZSaNFhVdvFY6r6EearnApHcxhCJXfJ0Sbg5MmI7tbZE+A2Xx3P7zOjCzcRMBEwETARMBEwETARMBE4GFigCpkROBAjBRbkaFs7ChSBnPi5QR3ZrQP3KlFWOEHGYlXaTuIoBx86oE/manlqE5BInQxwaMcEitdWRmy5qTdHv3+YOWxPFc4xtP75OWFw4yPXHXRuaf+vGmd35zIOFQgVRldOoYXdW4S0MgUVHCEieakDJSZW6hArtc9wvg0nnQBN8PRtmHjMhNcy0I5ER97M4reQZpItc/sI6Jy5jbjRlumaAUsa1FsJ5fmnPo6DXWdeqNUy3Tr2fntd4L+bWcRLKh4w/lc7f6gUSQJmUh0aMqMeo4QSOEmc2yyG+bM/sJuPMTMfJzEZq8LBUQOrOzEJ61qL5IsiR4RHNFRRvihhrz0TGGZwCLZC+UTxSBGfJFqZWX0XP6ffgSebJWIT5LuwhaBEDZkw85+jAjWbSaMXYnviaAUZiV4ktWfnTSLH09JnYtEca4SCK5CIfBVY3aszXivla4okUXf4SFdNv++7szPxEAaAFGNIeKHtedgQbr5HdOKM4vTR//rZz3cQpGOwlapUJLlcUMtI5cNkxdcS/Lqa9RW7bOfgo5+GEODjey3NHlCSEuvKGmAvp4KhJGB02aSZjPj9mdiYCJgImAiYCJgImAicACRwA5E5mVqJWc4wB9NF29LjpGZfgCfFBT3WtPSknGNb87ciTCxcyW1QnUc2NKPFZ0Or4YjqHpoi7YCEvRCDEl5rxkUhc37t+Szlp6evXx3R/8/jAu1S/+Qtyomd57OYotCGPMrYVuSa40gHEKjJEdsXEjZXSewdnMjwyPgL+ASxgiI38NsSkYI/m/9MQ0JKh1coh1V84ifKIlRGeqNNwD3OmWoGAWGsn9yH03xfhQv5GNMyFTdK7CieNmVKbSldwdqJcDBczXO/v4vkBVRu70hroOZxY8m2K0bJYrwbnZ2cyDE8F3cEUmZhYhXeTo/CioLhdpakVO5bzj7eK9Xj1YJ1az9jRYl42x7GiA7exUNrik+1j50YAgH2Bs2fI9MFGf69Px8kUbLdozPsboq82I4pEVm9d9W0SMNmAEXYppSNZsokRmtE+JJ6rFwIkOs9n+8l53qK2sJ+19AGBrBDnR93QcebI75U9SMlFRZQUDhS6qCopnVKFFF6evff/9Ghjytzd7owDGsfxoxRV1lUX+KsDoqc4ALepV2L7Oida1N0m1Xgj38NHB+hzFDxMn1LiOjuKBLn2qTK798r4JzNGZCJgImAiYCJgImAiYCPhHAHsXMELL1SDJLFgGl5U2kb98UQmcIjZI7cSn7/k0Pio/Lir/0dvXvfGrPaReulLLU+OKE48VJh4tcqWXa/kiwqc/KBpJrcWy4qby4kYSsR+/a4Ns4SefRu/NsUoyUpWxqJ4VNbpkFagLuMNijIIZr4AZfVJGUTPqCVzjNxkpo/+pndFvmKHOfeaq4JQ5pa0Tba++SgxBoJFoXyfqs2LbiafOjPaTFxJY/Ka52gOTmqG1xJMVJw0aNFJ3hiXanREl1la1ce7yMsu5cYJWdPQMDFZdbhaMn1tTXtrEnW6vbs9oL2ngpN2yEmaCAkYaV8Kxz+wYqdKGb+wQPKEs1uaKnsokb0flqDfIdTWzvSy5tVR+tF19MYOsWBhRy6b/GE8XHfLFGoGHMo2pGX3ZsjWZDWu+wep9udsFMJIhW6UyZMmP7qiaTWRCyBc1bKTDbLa/vNcdaikeqDg5QAWASqYkBIqq5GaKu+RQX0EEWlP8vtXp9qW9+8SKnccto5/mjf8ulNhOjrY8XNRV4bseVEJ0ek/au22775QdQS+VLzkbny+6OPzVcE+9t6WYWzh4ucXRET4cCD+sTBod8q+tYZ300RF0jEbBuLxvAXN0JgImAiYCJgImAiYCJgKBEYBFQDP85E/ObrBH9FRZpy49/iNJjt7+wamEwwW4Raz5/WF+bvzTCUGFpFTn1abFC2bMSRNPkPdePsTS5+7fWpBdDV1kIg+almfu25KfWakypq+ylkyKMaJUfOWRXXTY/P5JsZbOx89aXK0tz5ccScT2qRl13rQFG/0wI1sLSkucR2TmJ4oAUIszxfWAiE5jQ+b91K1B19VZuiT/GsboFx9MUogh9NWvnZ8UPgUDcuOABO2lN/o89J+6ghEFMveFbbXT2dYLgWcLTNXl2Lj4l8eESSJWLMqpgj1yl9nuM/YA9AwmNXojmFP7LVreP02K9NTPr1i3NBdRkM3JFbW6CTox9e0sy56DzRec+dGaKXWdfDU4YPTRpPGM0ZYyZrVu+T6AsSfpHbKtVfqtokyVyegkZxO9AENkfxEjHWaz/WW8ro8uasAIXbQAo7vsRMum75IE3efaqFix0EWMpHsyPxmsy/HU68nVnfRmw/t/yTmlyqIoFcUn2iFftK4H6nbap1sjZUzDxTecayBEhvJswj58/cpAWZx9RzMz2Jh/a3jIb5tokgcRZ7K0OnUlf0fwC4v5aSJgImAiYCJgImAiYCJgIqDREJayIUIx0O9585n90L/Xf7UH+eLphBIypotcNc89sI3GdW9FZ6eWI3srKag/HXd+76bTv1HtT969MSu5tLykEQZy6POz9KR+4+m4YugiuikMKehv6xjZYF5mJR2evX8rWZkAFsGMImUUkZVOl9ZSRv3XARv9pYwgRw4qxOGYRRNFAFWbxkpwKvqgsoOA0TJRAU/ndlqbujlxTlbmXLqS57mwCWPQCJDgjI6Ri5+0dDpQypLLm4DXX5lqtToSrjUD1DnR+vShHw4KBslKpiQjokfcl/iyELQI5ED/EOPR22msG5d2HfQQllkjIfITMfJzcWZzL1TkRzzdQ1i3QFTsVOiKRHiL9n24eaOFdrxdFmp4i2S/UixxLD86nQRnzKPdiL7GoSSfgnEywNh+8BfAqM7YF5yAkQzZWR7sigKMN/uvYc4C6dXiTGb4SeMMYui9Xqu0i9BFGzAmD1xRCsaKk217f8rJalj9te609zjdfYV7mtZ8s+nDb6E89DFGMY/uObu2YfU3hTHuvot1feRZZcrL9eCki4ons33QIvfdvNFFWKLc1BVJ3rZLwz1XqaQ6UB5PmvyoNxjHhjGCu7mk8TH3EUiKJLDuDEJqVjERMBEwETARMBEwETARMBFYHhFobbwOTKCSXojDIQMaPAgwxIX21PEi0B8IQlMILTtk6e8f3/XWM/tJoGae6eWHPk+NLdbaRUSMT92zicaI9anKKaaUjajijYWZiRehUlrECKJ87XGp8ZgSe55Gy1paO7/kKtKYI6TR0jTqvOmJKzQaKWOIExp0UW2laFmZnJJFVHY6w3cqtiNTyeoNuuvl3QhgJ6p+7ir2Ifd0oWOsRHYIbEc4Sk/oOjpDu8OkM4Sds6PXRSoJ6Q1cBXRZVtLIqaRD6fn6G8F0ifBGXRySMRScqezq7A/czkpoAScu/lqR4T8RQAZvezkwweaKnoqTuMr6JVEO9zYJYGy/HP4RLqo9Sh6rDzD25WyGI7XuulMgkgaMTrmazom2GeNYivSYgrEr+jm20J34ex93EuI03NM0y0NeOSnSgMSgNJXG6TLG4Z5GB110AEbJXNZJ8WmdR54UxggTPvpU8yd/37D6631525WfSw4SX8vYpd7VV/h508ffohv1Od2XTojiMYh20cqJtuhiZRIDmOV5D7r60LVS7lxqJ95yVEzlrg8hUBwd/kp7OXkqk7nxvW2XhTdSt9OxhaD7+v/svYd/FFea7v+3TNiZ3buzv7u7M3vvhruze++O04w92Z6xwfYY5zi212GMI9lGBJtsk0ECJBSQEEoogJKVQEKgnFBEOaDutroV+H3POd2lUnerJUAYhZdPfXqrT506XfVU9zL+8rzvI4OigCggCogCooAoIAqIAotVAZIdaivaQ3da27ZKZUYf3J6el1nJTEX/fOnSmAwPfH725Ud2MYFt+T0bn/31F5s/iANC4lRkcmVp6yevRXDomV99fqmwITPpUlJ0CcSSBGpyYRIji3gFBl650ARg3LQylpkHtqYpgFnYVFakP0gxRh0wrTCjN//Fwow+K2MQH6NYGWf/paVGHqzEFmhao2gXJTlEye3sF5SZlgJ4C1EPV+F09k7iV+B+Rn9+MsbNaJ0+3VnWhImxCX4OnM4/EwSaEsGPPFzWx0WJcRH8GMiBx8bGMP0akqzWqQiyjvVxsrMEFcCdaHFFAmTdrUWjQ1i/gmBwjE8aMFYsQZWsW/ZLeDH+w4Gzq0MBxkmuaNJeJukiZ2FyA0MNpK+2OxhvvwXf0gl5wawYGGHj7TOZvsZ6cDPuUJg8lS4GA4w6NJzUb1MEzYPrT1/jhYqNeBdhjMrBqLbGbMelY22bf6IY46Z/HC45ogGj5V3UZdG64+KdpovYkhVdbDwX9EcdQhbw45R/dKhLCwEkQ6wjh0QBUUAUEAVEAVFAFBAFFpMCFFqGvp2MhDIqK2sr2pjW2T6gCqJ1wLSPNDbmpVXln1XFnpmJ5WeiinBkGboYdSDXsMfdG87QfTEZuohBsagRv5a2bAE96vR+E+bG1a+rzo2R+3NZvxzGyKco0mh4pqqYVkXTVgQMMdO+pGldN+3NfzEpMOYVMga9xIYX+u6W+NGOln5DtyibDSoFZbM8JuYQ/HFT5rqgqy3BQcNv+SoG0kK6VhL1grZ0sORB+IlDmDvfYfyHfuN+b7FHDvUHqWLDhUiHAcyNLF57pY2GkH4n8pY2jObhcg2ExUyXG+7xjHdOzZoPXEpGFqsC4EQDGFX948Rky9DA+/X0NSrA2B2k6Wjg5MU6MuromXQwVifSkQ+C1Jvwuio49Xcw+qqkQwHGTApsWcFRGm4BRno8zol6IUyMiynhJah90aqVnqWSii6C+1RZtH2zJ7xMhoa7apLbv/gXnhpb595fkMvjg4oGLUIXFWBUjLEyvmP7fzCNpzz09Q5f38UgdNHdfqc6DxDIws92+r6OE/wTg6endnywJZAf0o+RDgkj9Rn8Pwcin2YppkwTBUQBUUAUEAVEAVFAFFjKCsAAAR1WhMc3Lje8QrVJZCtsUJixqPFSUSNUEBRJ1AuWKhyMcD8yow1gPLbnfErMBeyLDF652GIAI6/avqhgI9urj+5hMgTyikp+IQIGxtisSKPaphZNm/aMVEybpGkVNl3PykXZfpuijlw5oRWB5q6l/ECte4cvGboYukweBI3UikFdaBbGaKk3+516XYHOVxGvoOP6CMyQ4mggvBGfXxAU176a2z2K1BylSWNP55D90Gz2eV4mr4cVYPJBGTuD+CrNBTCnrzd4TTQOSa45P0t5LIO2dpzN9cicBa3AmLPPRVqubrpIJgU2xekw42hfHdOIiljQ93ubF+91MOqC2cGsjYYyqdc13yPUYyBjHdZBX88941Q0rsUg3kWmYWzj3LawfzD2NhPy4hm8leaBgfc14b4elDEyyKHA+Qt0ZDr7ohmfzU3hFw1GFy0HY5K3B2NdGoQQU1/X/l/x1LoO/NrA4Y4dP3VUgJe9xkXXVdCiBowNKt4FgyIQUn9D/gq742SODzzT9F2sTrpzdJHbp6UqP/CgOlCRzdfV/PbVa0U8LSiDzpRBUUAUEAVEAVFAFBAFRAFRYJYKlHxdTwUl0MM+H0cThcwaM2qToSaBKTEliceLqGUGMK57KxJgaBozxhzJw76YcfoS4wYn8oprUe2XqJHzyeXLfrbxifvCSji35KoZxNxFaszmD+M/ejX8g5eOYoPMO1tlImBAIr4UGKtuGsxYZ22+6mmVNw3Y4aygmMV+R0ttH0HwtgGOIF2BlbN+akBoDY+C9wbGE/tNlreBCuAnxJprmiUarGdeiXTxY7a9XcN8YznKl3w6S2Hg+mYEHohh0jxWyqIJ6Al8shRl56Re5ieZcPzrrKTyENZE+LMxWHIxIfyN012MjC8eBTAnDTQpB53BjFWJZEDcGHX53aCnu4YJgiB8uElZ2oaL9/ecfLpt4/9UBElvrRv+uiv80aG8HTpoeEo19CR49MXB9Ce9x1ndEY9PAsb6DD/Zb/MtBAmiiM2PjR3e3uaC8+302wSM0MWRxuypxkXLxIiD0WZi1I03ebJk+nTu/yWPzHEhvG3zj3mCvDpKI5RrUdFFtTlBi2wNbFl8T7rCHzNfjx7MrpOV0SrYxdWQfUclVf98UBHv1ztxYmTQREXziwaZ0nBViaB//ibR6Y5ekiwuCogCooAoIAqIAqKAKLCIFYDRARgDbxArY11FO9G0YEZcWBgX4yMKEyKLYFCxh/Ohi8vvDTu8PYMdgqSTTpYknSw2wS5exnhRg0ReLzSv++/jTAtbGVvBW/o3Xmw5vjf72V99waB9e/L+TTvXJdKVsayQD50Mm76Yj5tRZcGoumldOm1Io8/T6G3SKFZG+0OkAydOUdgRSgatn7VPZp/2gCAy5lO97ndI3vop0FDTtXP9mc/eiw57P3bvplSgn5kwMXEDHyANB5ARBu4Hvamh5gfFIWtjDly36lLbbEgjrkhjNOV0TvkmWE00oJg1EyILw3dlwvy5kobqjkBijF2ZX7R1GdBFeiP4/ROD3y3L26WgAKkuJEEYzuCsiHW3FIw7eqwb93RXcggUaY0szR38aZoRmdSPdB3OkkbaS9fRP5iKaYOSSJfuiX5uuOTQJFckCGZqFkzH7nuYPFSwSwHGunRIlLtDgnpv7msVokS69+QzM67l4gs/pSzaoovawViVpH2GhLxYOS/pg7nblS1QVb5nOS6fIsaFh0iky1DBHkUXtXGRVy9dbMh0stVn9MS+wrTOfb9QgNoXG8382++3Gfoe+RXzsx1pKaTemZnUSoMTzW+cb9348GTvFLofqJkNmaEXlKOigCggCogCooAoIAqIAqJACAXAdLih6MMWdE5fzxAlzEAqDIpx4QUgRODec79RbHDXZ0lARXY2fRAHrMhMKk+MUhHSMBOvfVGbGFNiS7EvQiOZoyyOF1tW6X6MnPj+C4fjjuRlJFzKSCzfsfb087/ZzuBHLx/FvqhKsws1YzRh06pDoymanho2reumsYSZTayM9odIwIcp1AUOz9jrjxOxw9GJ0SqWZ4QUGHxupIe4XFOKfO2fsgT3t69JXP921KfvRm98L2aTZoxGBMyKxhNICTOA164M4HHSLnihmThvrIY0VwROUqGMKTF0rTSrmaAWGONAyL6j3dcGmmq6erqG+OXWXG7l0ddcaoN8mj98DUzytaGLuCj5qQKijfdyNnni9puS/UWpwIR72H2tjMAXH4VIH+1vpG7aJMneoaDbBaSkEgdABHEyWdKUzersD0WcapIH0td27nsQk5vBjLy2b/s/vaffcpTHTKGLjecc5VEcbdv0E2Nf1IAxddTRu4CkmA+XejshLzQYDEYXE524/rybAYxYDb2A0amqpHniGWrT3TVxIXqLoNf+YCDzM82Tz5lXZV+sV3SRs6DHA5kbHPysWMoUR9elUXF/pzXk5+y8HKd+y9RxV3l/1Py6g1iRJ8ZMt4Q7fUmyviggCogCooAoIAqIAqLAIlagvroDvgFHmu4esUVVlLXGhefHHs2HLn76bhQY8M/LviSiJSvx8p9+vuWlR3bBMXAqFmbXESFtkIXyMV68mpdeaZyKmz6IrShthXdt/Sie0//0wGbcj9ASRgx1ZD7mq9ceU60at61OML0ZVd40pFG5KBXkpDo77mhBQUYVH8dm8zF6AaPBjDWX26Qro3maMEMaMEKT0HY2NjnrO4CfzWr0Z2AUD+KmVrCWWnw7a9+IXP9W1IZ3Tn72F8UYN38Qa+6Rb53Ryh74wiOw6poBeoF4UGV5Z9cA+dkJoRWYlxxwe8E1n8Igv99rrf32cfsirY3d/MpamnrwMRL0Y8qrecXua+8MyeM2nSQZt58u+0tXgXEP7RatFm2uqtMmUnb8uooDW8p/VCAIgMgUuvoxRh93clSe6j/zTscOFfDh3VZ/r2PP/f1pnwAnNX3K6j31Ood6Y140gBEAhZ9tKQt7a/c+PnwtqImRQQ6FWBOzaABd1FxRlUWbymgfXfTaF/GsKtuqZowARo0ZTYKPKoJ+VD/o7/YnvmOer6s+S3kXGzIUYKT/gDoxVX1tFGBM4u30wSshrvpWDo05eid/yNVJWJGNmzFwLRdfbOqp5Y8oIAqIAqKAKCAKiAKigChwqwqANfAvURgb2M/NLAnHAPdlJV9Kjy+NiygAAGJHTDt1oSinJjGycON70Yy88/R+HIYqvUVvVy40sYPp8dU/7uboe88fpvwWYHVkRyZvacaocmFiL7Blp1QwE8aoMKOOm1nx0NYn7t+EiZFTuCo+2ps3XdBIL8cnH9iM0TE75bICjJoxgs5MJ0bLx8gOh3q7bjo+41YlnO/nwaAAXwXnqoPmEQe9+lpdzIvpDuLU0dKHsxEqxQbLCjp/SQ2ufv3E2jcnGWPYyhjr9o1l1ML1OAb5Dhvq2FDdOd1PjGJq5vCFt9aZcYdHyffcrGweLo8p8Cw+kd8d4UrnUy+byQDn6Urm6yrV94TWjoHryMiSVWD0etsI3eR0fzZVQdmYpRijZYpdkrpAkPwYo8KDlpXRhxlxuBEPDULEpmiRxta1P+w69PBg9ub2L/6ZQcfFo6r7paJPaZ7+piUp5+3eNCARHyMF0aYfIzu8DU0XMeJOpYsWWgQqWhvGReNd1PZFlezjBYwAw0kfo+9x98S+bJ5yz4mnXA0QSOVdHCz4CtSpDZC+8GhtXySO/HZv+ybPn3A7JzyhDJPa68gP/NxNLizTRQFRQBQQBUQBUUAUEAVEgSkKYPkDLGA4DPRBYVqDFhZmV3N0sM/58iO7IIRfrErAT0h9NF0Zs5IrPnjpCINvLv/qyM6M4pwarG6gRZrUwSEZJz9aORUvtnDK0w9uZYTtL88chBYyDcaYFn+h6FyNYozazfjpuyeZkBhZbJyQijEazFjY9N6zhzj0wQuHcYLRkjGEiRHkyCZWRusxY6LjEednVtPKzxoMsQOYar/aZ6/zpciX58gi3yZjxFa3+cO4j1+NYGOHtyGu+Vs7RPfF1W9MMsbdG5Ksj8YKCJI1vyMaG5q6Zhj4dDnO1ol0OkXbWTZCpIydR8l88DuPidJmjX+DsEEqr3PSLofvzow7mscPirps6xMDd3joIGW45dKmR4HCyMgNUiHcrcXOilPeumnlg6q+MbpEOycoPKUwlG6mN2lvU5DQhxl9VbS+Qtqh/F2EubR++j8s0sgOFkfdwlEDxvqMO92OT77HRgHPYEcwujiVK5oqeONTtdCiTg/XNDhdmxLBjD4ro8aMAykfmur4zr0/d5QeGyo+2Br2D81r/mqoaJ+Tc81q1Unzs8+Au7WQX3doMCtfIVFAFBAFRAFRQBQQBUQBUWA2ChjHGmywvaUPygFZwiIFKsH2lp9VVZLfgOvp4Odn4XtvLP+qHENjUnnc0fzEyCJOgRxuWhlDo0WOAhXxH7LDxkjYe9HFOdDFq8DDfZtSGXzziS/fWXGAnad+sSV8dxaVoSkxF5JjLrAgS4EZo/blcnTHutMYGhn58OWjsYcLMHcd3qECZTiLKmwNGFXAtNfEqDoxequkDVr05b/UkQ4jVkbzBeho6QdJQaJ6Oqcthw/9VeE7ACtjEWBj6JlzdXTLh/GGLlqMca5Wvp114JxffJxgGOOONYkNtf5lxZh+8XwiFBs9DwNjVgI/3Rgd/XJhAqeZEeOT5CMsS+Q3Lg+wMS+zkqdsnVWvHYlcQ+zRvPOpFdZ4iB3KqJkvP5kQEi3lQxOj3xAwrdrTGUNjxSl3W/GYM4h1dtGrNNL8tZcxghn9MFRQzGhIY13aYOZnXQd+DXQCMPYnvg2Q1MAqVeyL3853RlW487wmg12Md9HQRYsY2y2L2rhYo+ixbTNPjVe12ahy+mD2Jl/Wz3c1TP7uQNpH6kQ+VGe7uCHz8++Pp0tFOJHxNP8uTa5IFBAFRAFRQBQQBUQBUWBBKqB9UJMRt3AGSqcxSsEcTARMwrFC+B62wOuDrrPxpbFH8goyq2GAbDRLTI8voyvdSw/voiXju0/vX/dmZFp8KaYp04wRJmmaMR7emXk+5fKJfTlPP6TcjOS88JbsGDBjSlwJvJHqacYxSRIHQ2mnwZVrXz/BRzN+6It0eCYF1DDGQMCo6SKwsQ4OZjo0mlcgD6HYC/Kp3N5F80x3b0wiiAT7H3nHZIIDGHmy9O4LXBikzHhvz3CIXos48TgdwBV4+p0YsdNFs38nPmXO1zR0kS/zLN2ekFvjSAyhvHWRQEUeARtQ0Rpkhxxw8pX45wCLUqoy6uwanmlleQvWxKDB0/YV2Md1ycrU1PuNy1tRYFKBibHR/qYROsv56qbtWbST0xb1HiWuwTr1mSgQU0g7jaFRW92clfEDSSsdCKhb8420Fi5qtebLzc1AFwNAsY0o8jQtqGjt25Gj73HXpVP23r7j/0IX2z79UX/GWu1dTDXZLu72sruuBd5jd2vRhM9+POFxmaRpzLQ3Jkbv+uXJBYgCooAoIAqIAqKAKCAKLBoFQBbU0qra5AvNgETQoj0Jgtt0XB/htbK8lQaM5cWNlbrwGeJX5tsU/VPIUfVOVFtxk2GMFESDB1/8/Q6YoerHWNZaklO3WsdJE/hy8PP0gnM1AMnkuAtbPoxl5vE951VXxosttFt89+mDjLCRLKN4Jh9REAQwWnRxEi2aPo36FbY2S9qzaJ4mN7JrfRL1vBtXxoS9H0vOzt5NyX3dw4YxtjRO9oAib7rqkiqTtzYQot+jt2Qxacj2HBPr0JzvLFDAyO8Irj6b5G4UQ0l+EShPM9JZCgi65CEGTuYfAmgdAF23WCI0kodbnFfLUwtsgBC4AkSaK5Gol0BlZCRQgXFHjzLyUVbpmBe9CwKv8I6O6D5+VhqIrpieLJoORhq9TRq14c1Lq6BSqWS7SHH0HX1SZnFEHmnMtnkXTysvrrfjos+GOiW1x1bnriJdVEG0woyqZ6aGjcrWqGGyv79RwcbhS5FqcVMZrb2LI23F38Jthv6IsZEhb0B8xSlim0xyEz9hGOON8Sn/YhV6HTkqCogCooAoIAqIAqKAKCAKzIkCBFjQpY1AZ2gGsblwKvyEU7aCBsUbIYEWYyxujj6YByEEFeLUqixtrSxr0a+tMUfyjbORmBggJIXSLz28k5mpp0phXGq7ePX43mwDGHn9+NXwvLNVIQCjly7qmGkVNk2rRmvLrcdatqSsjHhK6Wlpwo7D3o+BMfIdUB38slQHPwCy+UqYdA8aBl6t7VKEubjJQEhwUyCVMoARbDUnX6fQi3D9dsZIxXTo+QvuKJZFmLzhugjLr4afxow17EzjlKBR6WBhWD1s3zw4U6yNj7Hmyszhv1yMaRqJj3HBKSkXfLcUIDkCE9Td+vS7+7mevobh4v39ye93HX+yY/8v2bpOrOhP+2i45Mhk3bS3g9+krdHni6MpXyo5IN9amvDd1erufvo0dNEARkMXdSk0zE3HQ9NudPDr7QPpq3tPvzGUvUWxOG095VXTRYsx6oeo4qGDbnBmb2W0qzFn7jEyhsOb9xzyg3W35DsrYo0DmTCa0YGmu/t05NNFAVFAFBAFRAFRQBQQBZamAkBF2h7SmNHKyUUHh8NVUdYCcvRuijfiM2zQVsZG7WNs3rYqATyIZRFnF7G2kENeFWMsbcVztf6dKI4+cd+mz95TCS/P/eaL9IQyE/uCVZJcaQa3rTm98vnD7Kx4cCt51n4l0oTLTFZG59Yf2p5OzTUrq0vS9dSmbSMj8JxrrUuFn6x/K2r921EaM0aT942V0XxviQ4HOgF7YUo0VIRWQRQZtL7VcCqeFOM8RLsTjwJqBvkCWDPv6A7dDq02jOzMk5CXubplipdNZTSS8jPBN0htsoGHtE+0+isGfpwpZAYFBx5iZKDPwQPiwbEIX/vCc9WQdqdTeY9D/LFCfHAdh5gmh0QBUcBSAETTue+h9t33tu++R7/e176H7YGOA7/qT19rS4HRoElV4FoYSo24GnPH3N9SP1vrmpfmjru9dKp30WZfNHkuxruobIqp5EH7+ih+R/dR/A7pPF3hjznKozRm9FkZTVdG7zM1D9d60L4d7V0kdnxu6SJRLCNNOSZ0yVWd7OmuvOlgd/6CcQ8v2X8aWJq/ArlrUUAUEAVEAVFAFBAF5psCtVfaafIGHgy8sNarfZZXEKynPI0+xpibXrV/iwqIefupfTgSKXz2ZkYbj6KGjTR4fOG325jDtvuzpOSYEsAI01a/foKRd57ad6moGQhzZEfmSlKkNTlUKdJsObrpooqN1n0Xc+vPnioja4Zt+9rTFGJ7r0TbLL2wMa++6nKr4/okTwu8ncUxErYydt1bkWBGY2W05x2DDSFR3KYJmKYiPvCWjVuVgtyOlr6JsQl6b5qQFzva4j9TKLsOPFdGQiiA+RDADldkA+T6tV40dcqMB9pHzZqMX8yvhwmbJxj4QTwRvIg8OF751fit7zefRCc+0XhWWdbOk/1myltRQBSwFBhIX9N18Hdsnft+pejiLhij2QxmvL875oXJIBhTPQ1uMjirNtndWTG30Mm6MNnxU2AaumizL1p0sSala/+vgIqtn/5t9/En+pPf6096r/voH3irBtf/7eC5DYYx+qqkte9RMcYU02VRUWW/rS5tOpMqnJBvUc/JZ7oO/paNHd7OkOM8MaZuR7c/BS26fIlLNCvwu2t5KwqIAqKAKCAKiAKigCggCsxnBQZ6HVAIzFHTIQiQ3ZWLVxVmzK1VDDAfu6CKYjl1rDAuPB8jItCPUGnIiZcxTiWN0L+wlTE0WsTWlRxdcj75cswhVVj9xH1hlE5Tt0uUDP4uLIjajsinaLqoAKO2L/oAI6WmX4YlP6nDrF97dE/yyRLO0p0b1bnwRn26urDWpkWef1pf07lt9em1b0aCGXeuC5J3zPetoVoFB9uZof1LSP4IDTOZYAAUO7QKtJvrTP444eP2s2Q/hALQP+yjKEmh+nTFyOahBM3iMStjMYUfskJ3+5RMcB5Na1MPXJHnBaJva+6ZmJhyLS7nSF/PkBliMqnTdDzgYtgwiH47le9TLkjeiAILUAEIj4FC+tVgxgc1ZvyZjzRia7yvP321r8ufySlWryNtF6YjTgtQifl+yZSxB3gX/eyLqnpdJ0Fn9EQ9BUjs2HOf43Kc62q2qynHbAT6dB97wrgZB1I+9DFG1WtRuVKrtV9RmxX9H3dIutgdsczvWwSv7o54PARjdLcW890baci00tvHnb0jTbniRZzvX0S5PlFAFBAFRAFRQBQQBUSBqQoAD8mVno5EWXPhGwDGYoUZVYVyaswFOGHs0fyPXjkKLXzvuUNQPsUYfRueRmVoZNOGRgAgeATAmBRV/Nyvv+CULzcmAbUwYhm6qAhh3pQIaXt9tP5Q2GZDVuIlkw6z/J6NX3wSfzG3XmFGH2m0GCOfuxSsjNbTCdzp6RwCLvFwAw9ZI9TPmraN6ObxTAZNNtUqOImtEQ5pTZad6RQA3wHxDM3jK+0XA20/i14E8EOE9cOD9jmUtJt+mHyrsSC2X+3Dhspvh/X5nVaVt/g9FPoxXm3oLsmrLc2v51Bv1xCM3VwMZdHYU+2Ly/4SV8BVk0JrQaCK9nF9oBJm5Y9PgdG+OhsXUt4zCzN27Ptlx1cPeA2Nu+7p2PeL4eIDKm+6LnWktRjYJTXRPhW/jf+rg3jAiYEb9kWshqauWXFCvuFDhXtAiG2bf6L4YVMONciAO9+W03/mL4o9bv9PVdvekKnmeKNedNk7S6kFJzGy3k/kAqa7T+2AnfzmGDds16Hfdx16eCBjfdCzRoGlKpAl/8aNqf9uFHS2DIoCooAoIAqIAqKAKCAKiALzWAH8TkCM6co27RdOkAp8A8yYk1YZeSAn6kAuPRXjjuS9+LsdAMP3XzxcmEUIdTObwowlLcf2nOdQxO7zYC6IX25aZdLJ4o9fCWfym49/ZcJifGzQmx9tsy96HYwq3kWnuvgKtBVOJJ/6Tz/fwjovP7LrTFSxoZTGzagZo7ZB5mJlnIxUtt/IUtgHYZnC50FdMR14yxRHEwUOiQJnud2TdJF8HwaxyVGBS5mtHTwGLiIjjiEXnl5N/6paGoO3T7SrxLeXyX6Q0D6BfYgliTBk9JgHxHw2HhNmY7+Z4EQ+HedkcW4NJB9rsZnM7wjC7DdZ3i5lBSbc1ykLteEOiIeCHv3JH3BoKStj3bvj4lEfVLToon1HGRrN1rH/V0MFe60TZefbVACbaABaTFTJ0Wozqd8aMHrti5l0WQQhDmSs03RRo8Xm3JHmvJHm3MGsjc2rvtu2+Z8clQmuxnPDl6J64/4Mk9R5PaY+WldGs6zavJ8Sgi6ig8++6Pu2qF+Z+qF1HXqkJ+alIEJNjOnFk24h2CXIajIkCogCooAoIAqIAqKAKCAKLCgFaNwXdzTvxL7sMyeKoXmgjITIojeWfwnuI89l/duRtATcuTbxtcf2MMK2+YPYS4WN5cVNyTHF+zalMrL8njDyXKCCl4pMjbOpbvZSQVv3RW8DRj4CUxafhUkSPkNJNefmpl0BabLasns+27QyhhptL6vUtdLMN6wSzrlkrYywL9OvLzC/GMAF9QVGwabspfHXWvsNoSq/0GQZ4QCVJFMHksa+3mH7uQvqWzw3F0sJOa5CFEMre5hOiNX5WjKfUugQc8wh7I5EujCZsmgMxgBh+ymsUFF6FWcjKBh0n5VcDr2n5wC9Dqb79wL+EeGbbzxw49n8a4L9s2R/ESgwoOhiUGPV7/E0LoIbvP1bsElk54qB+4odMfn2P1FWuFkFFF2kL+IU76LmfrhJTY9Ek7lDjbOKjc4kh6Vj5/8DMALxvN5FhRbVNly4t3ntD1o//ZGzLFJVTDdmd2z/afOa7ztKI7SJUQNGVR8NtDRoURkm6ZQY+pot16vmihotHn6kS21/7Dr6aOC549fbsC96uioCDzFCYou77YKrJtVVdXqkIWvc0RV0mgyKAqKAKCAKiAKigCggCogCC1SB5oau86nlpyIKQBm4CjX3a8jPqNq+5vSLv99poKJ5ffkPu3A54sLC05hx+lLc0fxnfqWKo3esPR1AFxWotGe70EFO9WDEvphTxyG7fZFzwZWsCVQke9p81gu/28klwRj9ejkaXEmSLwEcC1Tw27lsPG8KQKVXEj5CY0DgEmXRYDEzSH204/pkDLGpqjZEq6xI1ecSWEyZrenTyLOwTx7sd6p+gNk1oc14t3Px8/9cuikiV11F+yyRneG3eBHt7S6nu02yp1k8MJ+Fz+L7DFo09JjVog4qO3HElxnJJ4uv1vr/Fygl2/BJY2dlQTbOpaYb/jzdR8v4IlOAymgfXbRwmc9hpV15TFhkt3wLt+PznlkShdph8i18hJxyOwqQnjOVLlpo0ZQwJ6ujKpmF4uh0J8XO9VkKMG7/TwAj5c+qLNpHF4GKKuFlzQ+Hi/YzbgBjz8nnmMmT9ZoYWcoLGI19cWa6yN3ZTMIPa674h66jbNDFx7qCfWdG+xsBjLz6KTMx7nFfK3NWxHLUvlFP7TdT3ooCooAoIAqIAqKAKCAKiAILVAEIlQqh0AHE11oHqEr2MkblG2zMSrq0d1PqtlUJWz6Jjz2SBzAkFIZ86tRTpQnHij56WRVHk89ysaABSGiDgbbWi77waA0Y6/wAIx9n7IsGMIatjGbBp36x5aNX1cpsG96J4sQycq5VR0fle1R9IxWlrMEMNl2x8AJ9FrO8bMqfaeKXl1ll4JL1Ch4c7J8suSW52JjxeDR+XQTx5oGRC87VABsNp2XENG+Erc3yMhbrtKF+5yxvrbNtwIgPZpzNKSYRxq/MHwjMj4Jnx0b4O7iYparKW9nYb2vq5kk113UbgEl7RuZYTxxir350hY3804AZxOs4myuROQtdgZm8eeLHU09YAON8/p5DF0cas23exWB0UcdGG7ropKFi4zm29u3/DjZ0lB330cWvKXZu3/xjiqOHsjerQdWSUTkYHVeimdm+7d8mAaNKkdYmxqpEV8O52eSDd0cs99ZE41o0aDH80e7wxxjvP/XnQIVHB67CD3EnTh6amIA3miBpV2WCp/PyxMjghNuJy5GZrqqEiVH35GTZEwVEAVFAFBAFRAFRQBQQBRasAtAnMBSlzeYOVFfGy60qWtpYGfMbirLrKNWELpL/EhdecCoiH2Mh26FtZ6llXvazjUnRF8u8sdGmMlrRRVPODDnhdDCI177oy49mgvFJgke4ADbsi4nHiw1UPLIrk7eR+3Oe1fZIEmSiD+SW5ivyWcKmMql1LLVeeclaGcdGxygVBwzq0HBVdUvqsfU1VGkvmkASHh00f4T6XJP8wrMY7HNiXIRQkUM9Gyee9SlLdgfQB4k1TG/GNCVLJcrPeSh0VjQjvDVV7axTWtgwHdhsvdqHiRcsid2Uh2U+FMuivVEAPR6vtQ3wK+NoYPm8dQGys2gUmBGdiR+PZz0Thp1iaJQS6W/51+Fqzgugiz7jIgxwqncRuuhsxL4IYMzu1hHSPXGvacD4tasho51S6FXf6U9e6UWOBjCSLt14ru3TH1El7TKgUpkhvYDR1ZA9G7qovkXpa1XHRS9dNGhxGXSRZKXB85uDiTaBf1gxxsZsT18dONG8ZcTTfuHGVJbobilQ4901wdaRMVFAFBAFRAFRQBQQBUQBUWAhKQCUgEjghbOXynIDfT1DeAsVBgQzatKYkVBGxnT66UuZpy9lnC6jX+I7Kw7AAzeujAYSKhuV7pSoGaCXLlqtF+EedsAIIfQBRt2AUQNGeONLD+9iwZXPH4IusmGuo+x37RsnDHVc/fqxvLNVTFM+RlbIrbXo5ZK1MpqvmskNsWMuXKmGNWF0DP11bG3qM8CKV9bx6wpozm2q69q54QxW0vVvRW1bc5rmjaHXvOWjAFLyg9a/HcXGjp2X3vKad+JEcpz5BqKY8v3OzrtoXQZAGIQLD+R5GQKMcZQK99BcF+aPRzE7rUI9puJmzI3sdF8btJY1O5oqVzMT/ul3SN4uMgUEMM7mgc4U8jIFMDJ5NmvKnDlRgM6H09JFqpgNXVRUUFVGO+sznQ1ZTmVfzKb22VEeBU5s2/j/Ue880pjbue9B3vZEvzDS/LUFGE2JtKsxq3XdX7dv+kd/B2Nd2uxTwseHrxHRrryLPuNi97HHGSHhZboOiuPDnc7KeMihtQEbx529gdKND7ZowFgdeEhGRAFRQBQQBUQBUUAUEAVEgQWkAK32TGUlrfkCL5vKWTxaGuVpHpjXEB9RSBYM2FAFVaRVwv1wMGaduUzQ7Yx0UQNG//pob8KLBoxbPo5jwScf2JyTqhCKrphuKi9SmBGw+fxvtnN00wdx5oO0j9EUShuHpDJJ0l1waXZlRCtwk1V4SzU0ajCCOy6od9H+rMl54YEymW26evMvw1LXvR352V9ObnjnJOgPxmhfYa72wYks/vGrEdbG2/nGGMGAgEEjF6zb7iGcvQ44TumyaBah3nk2HS8pwY4+lJscXQLd5Rr4nuNgVI0fp8bEcA2wSlaWQunZP44FOnNGb5748Xiyo311M5JY08qSaUxeoF+GBXfZ7u5qG10kaYU8FzYdGK3QYorTWxmd5qrPGCr8qifuVVChqo9uytH9FXM79/8SqNh54Dfdx5az03X44ZEWcl4AjGwqV9oAxuGSQ+rowd9MAYzQRZf/v86E1hDGOJC5oTfuFWNc7I9/YzB7yyRdnGpKNEtNeJx0XBxpKaAOesw5beeK0Z4aBRilDWPoByBHRQFRQBQQBUQBUUAUEAXmvQImcgJMESLPordnCH6I4ZCNzOio/Tlku0D5gBiP37cJ6Hc2vlS5CvMbMGJlni5Ljr4IhySNGqOjqYz2sy/SxdEYI1nEAoxJJ0sotWa1A1vPTtJFbWI0BdRF5+q2fhTHUlwMadfgTXyMJkHG7pNkpLdraN4LP8cXCOZCfFTlOYKe2OHpAGZDPFZzBfjckJfJfAdw08GsgjLGdW9Gvv/C4VWvH/v03WjFGN+KmuMb0MuF786y0KK1w+AcftZtOiRdLjdBOcjFRjfFQLg3y0s1uTD8ZIKqHXQRvvbHvjyfnjCZdtrS2MNl8Oo3H7zMOE/fb1zeLjIFgoW8TPHjSciLeeLQm4A0nClCmaNMW2TfkHl7O6MDLdPSReNd1HSR3GdFBasS2z77OwUJw5cR72IAIzZFIqTbNv2EcbbOPfeNNOb46CINGPMUXVT10Vkde+5lwmDudp0inabQZW2yZ7BjTsQxoS2ummS+PK7K+JHGczfLLW9MTIxwsxXxN8Y9c3JJsogoIAqIAqKAKCAKiAKigChwtxQAQOFdxE8V+gJgVvisKElOib0A3DsTVWSKpndvTAIJPvPQ54c+TyfzhZaJx/dmg0GO7cmK2J0Vviszcl9OZlK5H2C01Uc3UIVNbTWk5dVH97DU2ysOKJyo4qRVS0Z2DF3Ur2TBMLkpPb5s+b1hTz+0lRptljKM0aqVNp9FXfBSszLSzY9t1DOOnvAlyC37oR8rT//KhWYmox4mOr4GMEY2v2J5HHEfvnz0/ReOgBk/ey/aMMbQK9/aUdClxRWtHUyMt7Za4Fm36ZAksBsAq+TKriE9J3D9mxphtdA10X6rpcZeiNhz3p6/Q5E1Dw6w7Al40LTTZPNbQd4uPgVCmBjFvmh/3APpa0IzRibY58v+nVMAuDeVLhr7om69GEAXsS8CFQcy1zev/YECifsepGKazo2GJTrKI1s3/A3jHbv+n7P8pB7kEHQxV9HFuvTu409ylE6JXvsiKK8mZXSgdU7ubszRa9Ci83KcarFYcQrMyH4Is2Lg53q6rnCWp7M88JCMiAKigCggCogCooAoIAqIAotYAdxWiceLju89nxJzQVsQVSNEQOKKX2x9+qHPw3eCE7Mp4TyXXJGXXpmVfDn+WCGMkbiWtPhSmAxRL1gNlX1R5VArx6OxLwLEtq85DV184r4waCQsEbpoMKPaN7xR11Dzlizpt57Yy2QaM7KC6vc4lTEawMjr0rQyUiQOAUOT2VTdmj5+dLmETJrvLe0BMbXav8NwMBZU3sV3TlKfHvZ+LIxx1/oz9jlztR8UMDI4V+vfskOSKnKjFVJUlrXwdq4uaZbrOBwufneUSPs1XeQtl+T3yODGDPKzmuXiMm3hKjDhvh6UMTLIoYV7X3fiysE4QWulGeTQnfhEWTNQAQx+ykNYBVS0Nr/iaJouphnvIrEsg1kbe6NfgBB27f81qJCNMBdH5RkXddAt+RDF4ZIjbVv+tzq05ofdJ1YM5e3gdMelyMHsre1f/CvjHdt/igfSZ19MdffUBl7VLYxMjAwRBg1O9HRX3xhTfyNMjI3CCUNktah66iktSyYIf+G7h++Rk2/hGuQUUUAUEAVEAVFAFBAFRAFRYOEq8M03npzUywnHC7NTLhtUaNyDJ77K2b3xDAHT+ZnVqlrZFhudmVgOYAQzZqdUTAJGHRxj1UcnRhYvv0cVR+9Yl6i4otp8udJ2uqip476wZGY+88vPMdqZZoxTGKMvrtrCjFgZCcVeuJrf7JXjWgSFWcAwxOl1GkWqJOIh13TTenuGSaaGVhVm11G6vuWjeBjjnk+Tg3bsnG6R2Y/fMgCc5UcEBZizcUjyLUIEvnIkIs3ys+ZwmstJXk91xJ5MTMJT/vNUfwbdUHlG9ieOu5KrvXNBPHN4a7LUnCiAewqiCChjY0cqo6dTlRaLxLjYteKt9F2cTq45HydUJYAuWvbFZCqX1VFTHF2fPly4t23zjw1UJKXFVEmbt4w7yqKUXxHG2FIAoOs5+Uzzqu+ao/bXzr0/h2Ra9kX3tbkxCsISXYRcV5wad/h3qJhONNowKpbYkDna30Q7R7Ckqy6NEVd95kSw/o3TrSPjooAoIAqIAqKAKCAKiAKiwOJQoL66My+jEvqHlREMqBhjTh28kZrouMP5MBA/umgoHxXNR3ZmJhwrBDwyQdsX67V9UTkYYZUvP6KSo3mNPZJHCTadFamDthijKpdWmFFlvpxPLn/yftX18cTe8xi0OJ3GdNrHqFyRQT/dWBk7WvoXxyOYq7u4WtcFgyI6PEQPQA4xgWlNtXcqM9rvdihh9mOAvJ3DkBe/xU0VNoN+lxH4FjsocTn0Ngw8dEdHqKGmWyNuYdjmif3Z/IICP47HxDOqKG0xhziF3wUjc6hb4IfKiCggCogCN6XAmMdNjLLNuGgcjIk63sXKdvHaF4eL9rWu/SGosPvEU866FJUc3ZiDWbEn5kUz3vrp3w4V7XNBF5sLjJXReSmq98w7HXseaNv4Pzt3/4yUZ9yP4DuLLo60Ft7UBYeY7Omrgw2O9t2EGRIU6apJ5Sz7hoMR52OID5JDooAoIAqIAqKAKCAKiAKiwKJUALoCXWTr6x3mBulwCKQ6n3I5gnaLe7JO7DufkVCGR1FvVEPXWB5CPHIQyOP7sgGApj5aMUZdH12YVb3hrUiAIQ7G+GMFaacuxIbnn0++rHoteq2Mmi6aouni5nefOcjkj18JN0ZHL2PU+TJAGGOnNBdgfbq1A4FZUlbGEF/C1iaVMoztLQSDwtZo+g3WVrSHWGrOD3FJ+BiBfmzshLjCW/joO+2QvIVLCnHKYL+T7zmtFItyVDx6YbZq/xi0r2ZlaQuHII3QRVMjb/HGEOvLIVFAFBAFvh0FpqGLxr6ow6On2hc7dt+DI3EwZ4uKjVZ0MVuFttBZsTnXUX6SjovKprj2BwPnN7l0obS3+6JKjs4FRar5DedcDZmuugx6NuKKdDXlcQ1zdbMj9elEugSva56YGO1vHGnKcVYmkN7ibi+9MeFrqYHxsb/Rc63MTa50b82EW/1PKfkjCogCooAoIAqIAqKAKCAKLEEFCHkBYpAJYr930EfkgZxTEQXHvsoK350ZezSP7osW07N2mECrRnKfYYB5Z6sops5JqyjJa6B0+vF7wmCG29eehhaycfRiQQM7MEa1acxoAl8Obktn5ooHt1CI7W3SSEtG7WOcbMaoTZIwRuuj7Tt8ulgZKfLlObLRXNH+KO371NvCtZhDtTXMyn5oQe+DK/1MjLydW4Y5J/qoTKWKtvwsFepdWtjQpzOY2q8qLNzc0B34Ec5hN7iYWmkT2UMgOOHggdNkRBQQBUSBu6IAnC3Au2gcjNq7WJ3ixN1Xk6a7L2YMZKxX3sXDD6vMaAMYSWzRgHGkKVexxMbszj0PKMa46rv9SX+BMRL7opJfOKroYo6hi876TGc9gDEN3jiHdBEBXdVJbIFKjg93msJnu02RlgWETQdOlhFRQBQQBUQBUUAUEAVEAVFgaSoAcTJU6vrgZL8+5/AIhkYqo6/WdednVJ0KL9DtFs8lRZcUZE06GEF8FmDEu4hBMfpAbtTB3FMRha/8cTfM8NVHdzPuDXzRodI6LdqYGBt1onQzgdFP/nwzkzGhlV+gXFpVTCv8WGgYoyqUntHEaGDjUrYy0lPRPMfWq33TfZMpB4ZQMa3gXDV9GhEZbAXX+vYLhKe7wtsZv6MOydu5MHMuOBeQiPIAQ35ZyE5UtDlEdAs4nefS2xXE92KMixzlV8AP8/avRFYQBUQBUWBOFAhGF3VldJW/d9GJM7A+o+MrBQ8dZZGaLmoHo6KLOdgCR5qgiDonui6tfeu/aMb4nZ6Tz+FsxKOo7IvMpBC7McvZkOlU9sU0dkiWmZMbsRZRmdGXY8CJ1gh2RHyJhiuONGSNDrZOeFyqLFo3WqQBozVTdkQBUUAUEAVEAVFAFBAFRIElrkBrUw/sgoaHdh1wA+ZmVDZUq/+N7bjuggQS6XJib/bhnRm8ZiWVG6BHuXTMwTzKqDHFARIBIOwkRhV9+m4UwHDZzzaeOVmiuikWNpRpuljm3QEeYmJUFBGW+P4LR5i88vlDx788v+n92HVvRhJknJFwiaOBJkaTMmP3LgbutzTOtje7/ZYX9D6UGHLFcwQIT3cj5CNfzK9nDhuTqy61YWLEGsdbkFdHq7SynE65IOPAzIjd5wmRYWNnRqvkUL+Tn5gSP6OSqmd7botZHcZrniDPBczouD5CngvB3xzF9JifVU2XVDhkkEuRIVFAFBAF7oYCowMtU72LNrRYPaX1oqplrs+ga2L79n+HHKoCZ1Mc7a2PNoAx1wDGkZa8oZytBjDy2nXo92q+qo+mnvqcsyHLsi/OOV1ERSqdFUusjIcc0okRU6WzIpYRkl/Gr09pKjI2MqRmVsTfDe3lM0UBUUAUEAVEAVFAFBAFRIH5qABkg5ALv1xasj+AIXboBLUjjSIxsohUl8M7MuIjCnE2UjRNKXTk/hyT8AJgJPf5+JfZj9+riqNpqJhwvKjgXA1oxYS2gBkhWmBDNkMXI3ZlMpPtTw9sXn5vGBHSKx7aakbWvn4CaKlOmV0nRjtpxAYJF52Pct+Za2qqUc8LSadbnrpa45GjCJ1sEXttNNZHY2sMUVg93bJLcxycCFc0OTLmlbchGOPVWhW7wwYe7+kcmk40cKIXQurJan52jXE5ut2+Tl/TnSzjooAoIAp8iwoEp4uKK5ot2WmKo7H51Su6CBV01We1bf6JAox16YoWUhxNyfOkg5ESaV0lTaF0U277pp907PoZGdPM7/jqfl1Srbsv1gMYVffF0YG2O3S7I815xq/ofa1MUDbFiSC9KejESN70HboMWVYUEAVEAVFAFBAFRIFvWYEeV2t1T0HptXQ2dnqcrd/yBcjHLRoFcEnZ76Xmcht8w4+ZgOyoQc5OrYAowhgxHMYezgcwJp0ssQAj5sbXHtsDIXzx9zsZjz6YS8Z0aX4j3RcNZlRWxgJjX2zEOEffRSY//eDWL8OSS/PrqdjF0xh7tODdp1Xmy1tP7lOt6goavXHSeSRK16pAmRyVNWPf7HTR2l86Vsa6CtVFk4QX+0O09ifGJsovNDEBkBi0xpbSaUQjV9pY5qwTZSeoAjcbKNN9bZCvOsFJM1oQKaOmkSY10TB//KWLpno9qIwyKAqIAgtUAayDQbyLk2gx2UmhMa0XoYvUMqt+iZk4D2mf2LHrvwCGQ3nbLbToa8CIidEARlUljW8Q42LHjv9wXDzS9tnfKR/j0Ue8VdXUR9dnUKd8+9KNO3s97RfcLfnu9ovjjsmaaFYeHWhytxa724oxNE7bZXFigrQXkrKZjMtxIHNDT+xL3dEv9p9dQw34aN+UqpDbv1pZQRQQBUQBUUAUEAVEgTunwOiEB6JY0p7stzHIoTv3ubLyElGgSXuuggI6qqcxFqbEXIjYnUljRhJeMMWZFGkg1cb3ogGDy+75DIsjVBCLI75H5p+JKgJweRmjsi8qxojFkcm4FmneCFq0b0DIVa8fU4zxib3G/ah8jAowmkTpel+qtcm2DpJwbTDjErEyEgwNHqQ+PbD2FmZVWaaSiIMetb7PPZ2DzKEHpjUiO9Mp4JcmY5kYp5vPeOBzCTFZDokCooAoMG8VUHQRflhlklx0WrTpuDhZFu2ji8q4mKFaJlLXrCNdBlI+gBZ27v2F7qmo2ypS+4xxEbo4BTDmARhBi5BGR8kh42Psi33R1QilzHR33m7bQ5ih1VbRMisCG2/Yzf0zPYDRgaucO1y0r+fkC90nn+2OWtF9/MmuY090hS/vOvpo94mnxNw4k4RyXBQQBUQBUUAUEAXmiwJB6aKBjRyaL1cp17FgFaAFnMJNxU1B7+AblxsrY256VVx4fuLxYlifAYynjhY8eb+Ka9n4l5PAQMUDec2vP3uqNOqAsjJqH6O3RJpejsx88oFNZ+PL7GjR7AMGgZDP/uoL5iRGFutCae1jtDCjDpXWbkb16aY3o6aOUzJoDGaElPpZNIPe14IehBBik6OPn9+dGnMjTfxCuxM5iycOK15M0dJ36IEGBYwM3qGPk2VFAVFAFJgnChDZTFZLSLqIcdF4F1Wqi2qfaAVGUxBdldK89gcwxoHzYYoxqgAXvSnGaLyL3tf2bf/evunHys3YlDuUt4NTmtf80Fl52n3boSoTo+4Rnc8y0nhu9HrbmLOPCmjTaBHqOEudJ9xOvIu9ca/1RD7bc/IZTRf/1O2li491Hf5j16GH2QbS185yQZkmCogCooAoIAqIAqLA3VKAymg/46LfWybcrWuTz100CphAEHsbRr9bM1ZG8nANYDyfUnHsy/Pb155+++kDcCqshmrLq2cfuhh1IIeejbgQjYkRWyPGReDhvk3JKjZ6qn0RxqgGi5vWvxXJnM0fxJm2jZyrEKVijF43o9fQiK1R80YfZgzCGLFBDvY5/G5hkb0d6HX4RUibXpqAx8F+Z+ibNYARxujHJ0OftTSP3myJ9NJUSe5aFBAFFpkC0MURcpwnvYvavlitA6OrrbJoRRdVl0Wd6uLtnajaLWabauj+1PcVLVz7g6HCvQowNpMQnadMjDbGOJgdxpzuiMd0uTTsMadjr4qf7k/+gGu4LVUnJtQtXI7xS38ed3QZK6O77YL/+qOuiZEpvXMnXP10Xxw4u7r7+J/Iue45sQK/IvbF7ojlXeGPdR39Y9fhRxRgPPj7roO/Y1n/BeW9KCAKiAKigCggCogC80mBEPZFMTHOpwe1sK8FwxtgCuIUyBgxBEIO+3qHjZURwIhxLmp/7rE951NPlRabKmb9yjRcjpH7s5NjSqiYNnEtsL61b5yAHL71p72QQ80SFWO0MKPaL6ZiuumjV1UN9e4NSbgZy0yodGGjQpRmKYMZdd20r3TasjIGYYy4GemDt3QAWovOB+chEuMy43dR5YYHhInPeNbSnEBvUj8TI2/9GpbejjINtV071iWyJhs7vA26Gp8YsecmkqyDLiKDooAoIArMUgFgoD9d9BZHJztrNWDU3kVXPXQxHfNe+9Z/bl713ebV3+/Yfe9Q0V4NEpUjERwHLaTweSDtEwUYvYwR7yKYMc9Rdqx984+b13zfURphHIyQyYFzn2nkuHyWlzrdNGVWhC5eKwucAMY0jNF+dMLjdFEPXnHK03mZxo9sEEjn5bjhwn3dEU/gXeyJ1HTxmJ0u/sGiiwDG7ohlo311gR8nI6KAKCAKiAKigCggCswTBS52nPWzLPq9JfNlnlyqXMaCVmCw30GQCtwJNgitIn2Y1AmYISNYEHlr7o4MC92SMSv6QK63XNpXv5weX3Z8X3b0oVy8hVgilfMwv4FpYEMyo9MTLpksacyKXsyojIteughIfPbXqkSaTJnyoqZLxU2TmJFoaWNl1AHTLMtVWYxRVUxnswVnjEvByshz4enwmNi62wdn/BKakBcmtzb1zDhZJqAAcA8fo2GA7MwhXWTx7WsS170VaW3b1pwO1JxP3PDOTSRZB64gI6KAKCAKzF4Bd3vpVLoYYF+06GJNKh0U4YHQRRXRomuiwYy9Z97RjJGQ6Jzu8Ef1BBKiHwAeUlVNrbSjMr4/6T1KoTk0kPSez76oWjUO5m5jsD/+jRkvmHQVklmCT5uYcFUluqqTgvVanHDVJI/QK7IiVhHIziveFSZG4Y0GPFqvrprU4Yvhyrto6OLxJ/Audtu9i4eUd7Hr4G/N5rh4NPj1yKgoIAqIAqKAKCAKiALzQIEZASMT5sFlyiUsBgU8nnFcf0Q5G1plXrEd2hv6EUyck1oReyQvO+WyInumI2JOXX5WVeS+7ON7z2cllxsASFfGgszq53+zHWy4c10i6wAYzaYZI5hRkUa8i2wHPz/LtBcf3llW6B3nqMaMTQTEXFJWRt/mhxlNufT0jHFGK6Pyhu1ewN4w+iiiLQ+rvSV4rrT9qzk2NlZWpCZjHLWPy/7dUmDtG5HWtvqNE6tfPxF4JeF7sky4jP0V1Bk4U0ZEAVFAFLhNBdzd1QF00QDGJCfZLl77orcyuuvAr4CBHXvuHS4NJy3aWZvUfeIJgxO7T6zQrRe/Jr1l8Pymtk9/ZMbBj14OqXotfq8/eaU39kWFv+S4mr8ezt/NzMHzYaFvZLSnxmDAoDHT48OdHIWUBi6i8OnlGPoxjg+2elfoqbGmmT6N7tYiT/vF0aFrNybGBrM29px4RldGP9F97HFsil3hj3Yd/YMujjZ0cRIwAkutpWRHFBAFRAFRQBQQBUSB+aaAlEjPtyey6K9nbGyip3MIUxyFtOBEv/tVeCqjsq6yo7drCISo3YPKQxgfUXBsTxavJbm11E2blowb3o4CG/552Ze8BYKxUV6dnlCGI9ELGxVjbIIBmiaNMBPVklE3aVTmxgvNRTk1JMuE78zcuf7M8S+z8VJq0qi8kZNWxsnYl+A+Rtbnkrhgv3vhLXRx/dsL3hs2OjrW2T4QeHd+I6BInddTieHT7R71OzrjW74St3DWjMsu8QkQRWtb9edjbIGCYJ60o8XZJFkHLiIjooAoIArMqMDoQEtwumjVR1NEXKNbL9anKwsiOdH7f6kKpWm96I2H/hqPn2GJXQd+6yJRuqUAxgic7D/9ZsdX91EQDVds3/Z/6GE4fOmYPitHoUW9eQZa27f/O6d7rpWHuNqxkSHDBtVrRez48DW/yabRorv9ot+4p6+RUyiCNuMeaCorXI7BDOk303rbE/sKDRi7qYyepIu+1otT7YuYGMGP1omyIwqIAqKAKCAKiAKiwHxTQEJe5tsTWcrXQ4dGzG+F2TWjnnF0oMNhzeU2aFXG6bLw3ZnH95zPy6wyCSwQxdjD+dDF5feEJUeXqBrnAhUMnRhZFHc0Pyup3GZlbPY2aXxqL7DxysWrbBUlVwGMh7anr/jFVhaxtifv37T1ozh4pllNMUbTBDJkoTSA0WxcrV9XRpBmILpZrN6w2ivtPD4cqoHceMZvtXn0xbm137g8M06WCbNX4NN3o4GKn7zm3bZ+lBB4blDAyGDgTBkRBUQBUeCWFfAMdgSji9gXtXeRbJdqL1101qU7yqPorNi+6R/xNJpUF21EzBtpyRtIXwNC5CicsGPXfzmrUw1j1HXQea56wqbPTYZKwxWBkzoaBsfgIOeu+k5vzIsz3oVLx0MbPEjjRIii/RSyWjhET0UsiNb4uKMHGknyy2TdNJXUvnU83ZUkTXN0YnzKX3M9MS/pVBfLuwhd1K0XA+iiAEZLatkRBUQBUUAUEAVEgXmrQAgTI4fm7WXLhS0yBXCv5evqafyN9lvDOxdzIDd8V0Zy3AVTNK0YY279R6+o0JatH8XDFU2idEbipZgjeQnHi+CNpmKadosxh75m2uP3bcpKunTlYksFdPFiS2FWzZt/2mu44vvPH971WdKRnZmb3o99+peKN2KJzE6p8DFG7ZZUtsla3Y+xBuBpbRZatHb8rIxB0Q2eRvsNLo79+uoO6CIW0OuDrpu9I54455oNvOy47u9rvdkFZb6lQH11J7+RT16LYNvyYTxvrUPWzpLC4NZdy44oIAp8mwqMuQaduBP9YqMxLqqNymirODrVWa/qo/vPvAsJHEj5RHkUm7Ag6mzoZgqi8zp339P++b8R4NIW9g/Madv6vx2wPn2IbBdVN622HEqq9atOnW485+lvGsrZSi/H9u0/nXBfn/HePT21IMSR+gzVTVH5GOPHnb32s0ySy2h/k3dw3KO6MlYlTox+Y5/m6WtQzRgrTvlYZSwc0j4BXqq8i+G2ymiVHO1fHG16MEqJtF062RcFRAFRQBQQBUSBeajA6IQnKGNkkEPz8ILlkhalAlXlrSAm7IV+d0cWzPnk8uRTFwrPVZuKaWNiLMyu27spDR5FJTWMkaMxh/KiD+XlZ1aXFahyaWJcIIHP/UZlu4AQLboIjXzz8a8YfO3R3SnRF+GNHKJ0mo2z1r8VaRgj3kVtjKRcur7EWBlz6jVjNLEv1muQumnLyhgUMC4+bxjPiGeXl1FJGrjf45vx7UCvwySMV5a2NFR3sg517kODzhlPlAlzpYAOeZlSJc1XlMG5Wl/WEQVEgSWuwJjbGZwuVieqvot4F03rRV0c7VTJ0Rmd+x8EHjqunNT2RdonqlRotv7k9xkfzFw/0lLgrEzwMsbP/m6o5IhOpgZXnlaAsVFxRaqPexPfHsrfDVrs3PdQ8+rvdez6Ga0RZ/U4xj2GCsIVR+rTFR6sTACTWudiYiQG2jIr6kjomPHr7dYEs0N5tTFAsghuRpo3+k1wlEVSzd111Oq7+PB0dBHGKCEvfurJW1FAFBAFRAFRQBSYnwpQKw1RJNKFjR3ezs/rlKtalArQmJGiZtigX4Us3f9MKMxgv3Owz0Eai50xepsx5pIoXZ9wvDDqQA4J1KZculS3ZISTQAvfWPYli1MWbUDihy8r6yOMkdOBWgBGa4MxkvzysfZGHtiaBm+0tWT0WRl9qdYqgEaFv7ApT6NlYjQ7LE6TyaXgDeM2jfmwp3Pyv7xm+S0d6nfy0Dmd6nVaOHJWS2OPZpVVArhmqeGcTENtvqv8XtjYEfHnRFVZRBQQBVBgzOOmLjiId1GhRbNRGa2Lo2vSKI521mdQ5ty1/9eAxOGSQ6Z34kiToouO8pMEuHTtfXCkWfVdhDEOFX0JNmRm69ofdketaN/2b22b/4kujtDFgbSPGMeyqDbmrP4+Sc0Trv7ZPxR3WzFc0X2tDFMicc/sK4NiMPfjmKOXo1DQwMXHr7dx6MbUsmj7NNoz0oNRlUUr42IoukgDxtG+Ovu5si8KiAKigCggCogCooAoIAqIAkEVsMdJmwkEf4CboIXmLR0Om2q7AhljZlL5iX3Z0QdzOeStmC5siIsoACQuuyfs+J5sujjmpFWwzvF92Qyyvb3iQHZqZWVZC4xRYUazaSvj2fgyJnz08lETMI0fEmjJsiUq+UVhRuCh2izS6MOMfoyRt9DRdf993N6GcR56w6BJt5xz3X1t0NDFa20zp8D4PXTHdRdmRfN8x0Yn21iZfozYGlnc7xR5KwqIAqKAKLCAFAigi7om2mtctLyLqSbYxdBFZ32msyGrN/Yl8GBP5DMaMOr66KYcOi4CEh0Vp7yAUTHG/K5Dv1MR0oRHK5z4na7wZU7si7RhbMgkKrrr0CPdJ58bSPnACl6ZvXokPsMGMS7SaHHC43LVJCvGWJ004fH32Hu6Kjg0WS5t+wx3azEORttAkF1qqLlOZVycpjLa1EcrUCl/RAFRQBQQBUQBUUAUEAVEAVHglhS4WtsFgLpaN6W5umVlNIgPSBW1P+f43uzMxHJVLp2nYCBw7/nf7oATrn7zWPyxwqSoojNRxYlRxS89sovBd5/Zz+sT923auykVtFhZ1lpZyqasjKaS+oXf7Vjx4BadFEO1dZOXMRrMCGPUmNHKf1F109OnwGSdufxlWPKn785Tbxh08ZZzrjnXVDe3NHbf7ON1udyIxsNFTL9kHJaiK6NZGXvkza4s80UBUUAUEAXmiQLu9lKbd9HQReNatMqi8S5iXEyjMlptDdBFtnOOS5EmxmWY2mdKnpvzBjLWwQ97T/3Z1ErrV9WSkfBojItDRftAi/1n/uJqzOJ0ECXrcBaE83akMMXRowOqecvYyHXoomKMNSnwRvuy7pZ8xsmetg+yP+Eehk/SrdFvPPDtQPraroO/822/NUTR/kqrxsCzZEQUEAVEAVFAFBAFRAFRQBQQBWapQH2lig6hxV/gfGpplZUxpw5+eGzP+VPhBRA/tSnGWL/xvWgQ4vO/2Z4eX0alc3lxI4eoembwhd/vABgmHCt84XfbeEutdGbSZQ0YWxVs1JjxlT8oDlmUU0PpLpiRFXyYUWVVqw2M6SONxs3IlWjgORkBY8+CYeVvXLf1nzmBCszJyO0UcdM+kVSXhhr/jlIzXpj7Gw+PgyeLYn5F8da5enHlbwz69K1psiMKiAKigCgwPxUIRRdVTbQui65LVXRRVUar4mhjX3QS7KJrnLuOLdd0MdfVkN225X+1hf39SH2WKo7W/RjVa1PeQMpHzWu+781zUcZF0GKWWqrx3JjLn/jdrFDUL0MOyXkxJ9J30UVODSN1aROjk3+ncyUMerprpqw/MUYzScYD+y5OmeZ7w8zuiOV2qGj2qYzmkG+W/F9RQBQQBUQBUUAUEAVEAVFAFLgVBQgNMSa3oCdTY5uVUh6xO+v4l+cNrYL1Qa6Ibll2D3XQGw99fhY2CCGEE9JfEase2HDrJ3Gpp0qJky7NbwxbGcPI4/eE7Vp/pry4WVdMK8xInPRzv/6CU8ovqHO1lbGpJKfG6spIUozBjF43o/I0mqTpelPBPfVVUUeuDSga9Ebu4iAl2/YKbrM/+5xrl3Pyv7BmeRejnnE6W/K8cJk6h0OdTodGU0NN+MssF5dpooAoIAqIAvNBgdGBlmm9i4YuetGiyowGxBFfMlS4h1aHKjZabToGmmJnZV/MHcjaqCqmTz4zlS4S/pLTdWwZjRlVTTRnNWTRv1GDynR7IMutC6KiXuLhe5Y7UdVNVyYwMtKQeWNs1KxMtgsjlEKrHom6n7CKhsGKCXXsvDL7T+d0dCAqGqjIxg5vpe/i7AWUmaKAKCAKiAKigCggCogCokAIBWB6wKjainb9v9mnTKRDI8nFiZFFydElPgNhnfIT5tbv+TRp9esnkmNKMCsqPFjcVH6h+d2nD4ITow/mMT8/o1K5Fstak06WmLrp1x7bQ/fFirLW1NhSpq184TCR1ooxFjcf2Hr2v59UwdNP/nwzkTG85SNU/ovGjKX5yjOpkqa9pdO1pnbbvHJhPtiogmBYDS465Tbu6puggJHBO3RRKs2nuIkHysZz4W3oD0IrBGRyzZU2kwITer4cFQVEAVFAFLjrCsxEF3EtKuOiRovpQzmfk8xiOig2r/kekcrkSqsY6KYc04ARwNh7+k0mgBm93kUyX8iVbsphkbaNf9++/d9100XoIh7IDPyQowNtcyWCp/2C4oTXyqwFxx09rkpFHUcaz92Y8DJGz7VyxRgVZow1BFKd1VlunSU7ooAoIAqIAqKAKCAKiAKigChwdxXweEYhUYpHFTeRUwyS4g/eNnyGilNlVF4saBgadGI1hONZZC83rTJyf07M0Tygn2aMVEk3Pf9bVRNdkFkFVCT2Rce7qO6LrP/FqvhlP9u4/J6N21YlrPrzMabt2nBGtWQsbtrwtoqiZnvlD7vfWP7lkw9sZh9/Y9SBXBhjWUEDr1yDgo0Axq81aZwpCGb+WBlvp0T6Zr8YIGKYLU+NwuqL+apEGuUJCg+9Dt0aeYhYQN1u73/HhZ4vR0UBUUAUEAXuogJYB1X5M6XE3i3Rlxad7CuLVk0XXfXKuDiQvBKoCDxs3/rP7V/8q8GMbWH/MFSwG7oIQgQkYmLsjnyGQ/0Za11NefBGtTF+NZsUGDV+5l0iXfAuuuqgi2me/qY5vH0r6mXC51dkcaqenZfjFGMkOXrC+7fY+GArMdMGM2JfHB26NoeXIUuJAqKAKCAKiAKigCggCogCosDtKwBRpEjWpH7kZVaZHSqUFWBMrxzs9+Y5Qu1ojWisjBQsJxwvIvwlJVqZGE2h9J+XfQkbPHuqlMCXlNgLIEo21XSRLOmyFoyLry7bY1jiige3ggoBjFRbP/WLLbxNPlmC+fDKhSZKsL/cmIyVkZk71yWystp00rTlaYSe+dyMk3nTxseIidFs88TKSFCLn4mRtwze/lMLXKHmcpt5ZL1dw8RGg3x5y3OckRwyIXQxdeBnyYgoIAqIAqLAt6/AbOiiMS5CF4cvRdI+se2zv1M4UbVPPDdcGt6x4z8VZlzzVwMZGzRjVCxxIOVDBts2/5gIaa+zsTG7Hzi5+nsdO/7DpXBlBsQSuujuuBz6ridc/e6WAlyIoafZj5piZ7+Q6NHBVi9LbP7alEWbUyZGv2Gzny77ooAoIAqIAqKAKCAKiAKigCgwrxTweMYJF4YidrT2Y1msr+4ET9VVtFsXibnR5RwBFRorY/656uhDefgM0xPKlNWwsAkeCBXcse4MVdWEv8APzea1Mpa1YoPcufbM8nvD9m5O1f0YFYEsyKrOSCxXbsYSMqa9RdMkVr/4+52sduLLbGx4ZUWNl7ykEStjYyl503kNcUcLCjKqAJJs3nJpUmmyvYDRYMb5YGUEJ+JjhCuysXOH6KLJ6+GRXWsbMI8MbozyjBTn1k4X9WI9XGuns20gMHXaOio7ooAoIAqIAndLASKbVZHyFO+isS9OehctuojnsCviMQCjoyzC13dRZbswTtaJYoxkRie+DV1UJsa6jI4dP2Wkde0PuyKW95x8jrJo3rZv+kdH2bHZ00VaIzp1dbMyHzZk0jtxNlp5+hrV/MYsv8mkSxvG6G4t8jskb0UBUUAUEAVEAVFAFBAFRAFRYEEocH3QBZgqzK6hgNq64N6uoZK82sF+R0dLPx7C4pz6vLNV0Qdzow7kwBjxGQIVQYLP/vqL6EO52CDpr8imfIyQRm1l1F0ZW4CHl4oa2fcNeicoxmg2fSJrgiJXPLiF4uhy2jyyFZq8aWVozEoqp5iaGOvslMsKMGrGqPsxTgGMYEbg52Cfw7qLRblTeK56/TtRH78aTrr34R0ZLU1e6wiMsfZKu3mUjusjM947bJnJuENnnCkTRAFRQBQQBb5NBaCLI43ZU+gi9cLVSTRUtCqj7XTRUR5DcXRP5AoFFf22ppyeU68Zxth94inw40hjjqPqdOf+h8ygecW76CiPVnSREGpMjE15XEPoW8braJCg9crI6EDTjRshGwJPjJq2iqRI+61vYqZZzd1+0e+QvBUFRAFRQBQQBUQBUUAUEAVEgfmvwPUhFwix+9qg/VJNBW5HSx+D37jcWBAplAYkkupi+Rg3fRALY3zp4Z00aaRImeQXZUq82HKxoHHH2oTta04DBjkEElSl0xdbLxU3EgSj9kmEMShS+x7NWW89tZfVzieV67DpZrpEqg1DY2HTX549xKEPXjisw6ZDmRiNlfFqXddiNea1t/Stfyvqw5eP4pBE4R1rEw9tz7A/uKYaZUYlMBpjqn3cbx90zDQ2ALLfIXkrCogCooAocHcVGGktmp4upnhTXXTfRdUvsSGLzGg44XDJIVoperepmLE/fY1pz9h14NeKTOqjQ3lf9MS+Qpz0YN4O1XTxZugi+ky4h51VSfBAV1WCu73U6WuZ6KpO8vTWWIktgUrCDzVFLA085OmuNrhytKc28KiMiAKigCggCogCooAoIAqIAqLAPFcgMFSaSlvok73YFsMb9kIYY9TBHHyMkECynj97Nxr0h71w8wex1ErTenH3xqRXH1XdFwl52RuWnBBZ9MlrEU88sGnZPSrb5Z0V+w5uS6fG2SqaxspoYOPbfzrAhMTjRTghcUjC0GIPF9BaEJMe4zRvzE6t0IBRBUx7TYwBVdIGMC5WKyMQmIfywYtH1r4Z+cWqBLZtq0+z+X27KBVnGk8qdIF2XWVHc0O337nyVhQQBUQBUeDuKqBhnZXqws7UYBeTGW2ji5gSQYsAxqGifd6eimRGQxonGaMqlx7K29667q+Z1rHrvxyVp52N9GnM0nkuBEYT6YJxUXkXSY6m9+MsFcCFqEAoJc91aRMe12h/o6sm1RBCbIqeroobo0FskKq3pMaS9qgX6xM9nVdG6jOCnmjNkR1RQBQQBUQBUUAUEAVEAVFAFFgoCoD4gFTO4SmVttgC6dN4Pvly5L6c2COEStdSknxib/arj+6GAdo3ypkTIopY5ONXwhlf9l8biY1++ZFdcELePnHfps3vxxZk1qjSaUJhSltYk/EVD23lFDyQpMY8cf8mRta+fsKccuiLdBX7Qj9GNm/sS61uxlhDJ0azWXTR2llMVsbenmGYIQ/lkz9HbP4wbstH8VvZPlFb4JfKlD8zP7SPMfBEGREFRAFRQBS4iwq4sfBN9l00dDGgONpHFyma7k96rzfmxYFzn7Vu+JvexHeCA0YyXxRsPDdcfKht49/DGNu2/K/hsuPOhkxnQwZE0akjXZw1N0cXjUpjrn4cjAoY1qffGPcwSGILxNJgRldlPLx0wuPvqPdGvah66iB/goLHIPNkSBQQBUQBUUAUEAVEAVFAFBAF5r0Cpptf+1VVIu33p69nKOF4IYwxO6UCT6Pmfo14Gle9fmLl84foDRh7KL+sqInCZzyNQEJCok3SdMqpCxfz6mOO5H340lEMjTRdpItgxumyc2cu//kxlUm95ZN41cJR92Y8n3L53acPMshGYrUv+UV9HD5GzJM67UUFvphEaf2qSKNFF80O8+kn6XcLC/Et9kWAIfbOrasSKE7f9EEcG6Rx76a0oLfD/JorbX6HIMYgXLsx1W+CvBUFRAFRQBS4WwqMDrRMpYuWfTHZWUv3xVTVHZECZ2qZGzKHcj4nlgVaaG1tn/7IVZfqZYxeByNoUSVKK7Oitiw6yqPat/6LYozkTRfu1WhRGxdZvCbVM3jtFu59zNHrrIiHKIINrcrocUfXSFOOwYzOitiRlkK7MZIUaT0/6xY+Tk4RBUQBUUAUEAVEAVFAFBAFRIEFpIDL6c7PrKKV3zffKEOC35+qstb4YwWwQfKdwX1gxtTYC3gak6IvlhaqlBZKm2nJuPr1E+DBbR8nwAwpak6JuUBLRh3+0pqTVrlxZbSxKRqK+Kefby7IrFIxMXqDTx7fm20O8frJq+H5GdXAsVI2ZWIkWlo1Y6QzpDdUepI0BsGMtJRcBF0Zya8h3buptmvPp8lhK2PY9mxMbqqbbZkzz5RkHDyQtba4cL8nK29FAVFAFBAF7ooCqnCYaugpG6kuZtPZLrbi6N6E14GErRv+uvvoI93Hn2zb9GODGTv3PqiqnimR9tZHmzpoSqF1HbRq2JjpqEzo2H0P5dKUVKuaaLVsqrM6ZXSg9ZZvfHy401lxSjHDxuwbE2PWOtwUaBHAaEijuzl33KGCyfAomqgXO3W0zpIdUUAUEAVEAVFAFBAFRAFRQBRYTApgXwRGge8cQy77fY2OjoH1CrKqmxu6iHgG9DGNgOmYQ7nxEfkgRAKgDWP878dVbguWRWNKPBtfeja+zABGlfZS1goqPLEvh26NTKPXojqkI2BgjHgRqZhmfPuahJXPH2ZnxYNbQZo+xtgI1VR40/Rj1LnSys1ow4x+VkYI5+KwMtqfxez33d944LE8KdgvedOzP1FmigKigCggCtxpBXRsdI6XLlZTE202HRtdnaK8i9QvY1/UxdE4D5tXf6996z87LkUav+JIY1Zv3KsMghm7Dv5OMUZdE21ci+otmzfGRRdE1yYPFX6l6KJaOQV7pLvjym3e4/j1dgMS3c15N6b+LUOJNIXSlEsbzIjRcfR6m+daGW897UGiXm7zSuR0UUAUEAVEAVFAFBAFRAFRQBSYbwpQZouPESqFA5AegFjg+nqHLxU1MsgrV4st8GpDd2JkYeT+nKToYkyM4MTkmGJyWAiA/uClI4DB/VvSrpSowufslMvJMSWkQhu6yCtOSCJgmPOXZw/6Br2ZL8b9+M5T+0w+dfiuzPdfPHypsBF6aRhjWYFyTiofo9lgjBZmVOEvbP7l0iDHxWFlvNnvyahnnFJxniPSjY1Oektudh2ZLwqIAqKAKHAnFHB3XNZhLlaei0GL2rioKqNVcTQhLKY4uuvoHwGJQ4X7VJJLUw6VyCNNubwOZW9uXvsDDnXsud9ZneyjiybJJUPByboMb5KLMS7qsmgAo7u9fE5uSpV4X45hG2kpCFxwYtRN7ItLh8Iwx3RudFbGW1XVgafIiCggCogCooAoIAqIAqKAKCAKLBoFsC/iJ4RNebcM4okr6Yjo8Yybe6StX0ZiWdzhfFWqfL4OhBh9KC8uvIDclugDucDDF363A6thxcWr55PLk6JLAIPaqYiDsSVidxYTnnxgky6dBi22mvromEN5jD9xXxjtGTnxSnEzvQcVaaTyuqgJdOnzMWrG6LMyKtI4C8YIhwScLpoHNOONUFV9qbiJx4c+fnXi4FYJkp5RQJkgCogCosAdVQD7orYs2gqiq5OpWVbeQsMA4YEm2AUXYkMWrRe7Dv5WeRQphfYCRoUZ2R8q2k8nRhhj+7Z/c5RH+3KioYsKMGpKiWvRZ1zkI6qTR5qDwMBbvl9PX6NhjO624uCLTIx6empdNclmGq/jw7fS+DH44nM3yoX1nvozOlsbb2lxOXefICuJAqKAKCAKiAKigCggCogCS1EBx/WR1qt9JL/UV3ZA56iStlQgsBhDY+3ldiKbQVimYjo+ohA345nIoo9fVQbFN5d/lZV8OT2+7MzJYlChoYjHvzy/7GeqOBqLI5XRvvroFhZ57tdfMP5lWLKqrb6g6SKvCjAqxggugzFiZcTQaCJmlJVRY0YvY9SYcToToymd5hq+cbmtu1isO5Sp0c0Suoif0y/bpb66Q1HH3HrxNC7Wpy/3JQqIAgtCAZUcbfVaVGhxMtLF8i6S9ayimSsTYIZtG/9nT+wrFmA0mNH7ejXbUXa8bfM/wRjbwv5+uOSgRovGvmgAo66JBl2qD0piEfDm3KoEPzTw0HNtemPkxMT4YMtIfTqexrn99NtfbcJ93Q8tWoyRHQ4x4fY/RVYQBUQBUUAUEAVEAVFAFBAFRAE/BZpqO0k3BjMyTgoJAJCI5+LcWnBi7NF8KqbXvRkJLSQ2+q2n9m1dFR+5L/fQ9vR3nznICONvP7UPimiQo2nV+Ok7UYy/+fhX4ETgmAGMZofgGDAjnRtTYi+c2JdN1snBbelZiZdoBalIo50xYqf09mMMUihtGCNWRi7Y73YW2Vs8ilBE7hejqf3WMC4q6phTR9m7fVz2RQFRQBQQBb5lBXTGiq8mGtKojIvau6gKmZV3EbrobMgYzPysdcPfDOVs7dh9b0/cq0EAoy/YxVEV37HjP2GMan7uNl0cHYQusvgs6eJoX52jNLw/aWX3sce7jz3Rn/oBGHO0r2E6ocCGXsY4//jhdNdsjfdPNS7a6aLZhzFak2VHFBAFRAFRQBQQBUQBUUAUEAXmSgEQFkXTfd3DZkGKcFubevAxshFCnRhVFHs0b//WswBDsKHZnn5w6/vPH2J/+b1hWUnlcMVKGKParmJ9ZPzxe8IyEsq8aBGoaGHGC80Jx4tf/uMuaymzg08Sh+QUxqjKpX0B09lBcqUNY+R1EZdL11d3QhHxlw4NOu2P28T38HQ62wcgjQ01nVDiwf4pc+zzZV8UEAVEAVHgDimgwqMt+2Jtcnf4Y93hj6oRL1rUdBHvYkNm7+m3YYbNq7/f/sW/UgHtaiQqOse0YVSvPrrobb1Yk9y57yE1f833B86u0sXRU7yLii66ZtUtBFTog2y/I0Gm69Dvuw4/0nX4D90nnnJWnZ5OFk9nuZcxdtdMN2cejttudrI42nf7kyOumpR5ePFySaKAKCAKiAKigCggCogCosCCVqCptguK1dLYY78Lx3XXldIWlfKc30Azxrjw/DjcjAfyEiOL6cSI4XD928rW+MWqhCtwRSJgSq5CEZlMw0bGd6w7reii4Yr6lTmURW9456Qhiq8+uoc5B7en796Q9PIfFG8kYzo+okBXTFvhLw26JWO9z8qoYl+CJr8sSsZoPIqw34GpLk2gIs8r6EZnS78yavszlX1RQBQQBUSBOVdABaMowKgqowdJaQEJrvpO595fOKoSvd5FTRedjWS1ZA1krG1e81dmzmDOFi9j9KJFGOO5KcEudWndx5abyf1Jf/EGRpsS7OqkWdLFgfQ1U/HaFMbYdfTRgayN02nibrvgZYzTex2nO/dujc9oXxQT4916NPK5ooAoIAqIAqKAKCAKiAKLXgHaM0KrqIwOvFPaNhrGWJRTT1FzRsIl1TiR9onFTa89ugcqeGRHhqp61hs7YStjGOQQGJATiZIhflod5fXi1Y3vqaN/+vmW43vO6xFve0YmHN6RwaEnf745C3qpGzNeLDBdGVXsC1ZGaoF1S8Zp06UhooHXv3BH2lv6DELs6Ryy3wVGU+rZOUQN+7XWfuqmadLIKxXumDkZR2f7fNkXBUQBUUAUuKMKuDuueAFjrcqM7j39VvOq70IFO7b/1FEeQ99FV32Ws4FNw8PG7MG8XRQ+M6H10/8xXBYxxbgIYGzQmdENnOXtu9gb9xqxL8PFB1XZNR+hWy9CNWdzU9PY+fwZo0qCnubPSEuhYYyjAwvjL5epNHXSshg4Ps0dy7AoIAqIAqKAKCAKiAKigCggCty6Ahfz62FTpg2j3yqAO/orYk00OSx4FwGAkEOCXRQSvH9Txuly4CTtFpNOFtOVkdiXIzszEyILEyOLEiMLU2MvABvLLzTt3aTmr3ho69n4UhJhdD219xUPJIzRLPjxaxFlKv+lUXVlVMkv9SVfT0ZL262MVom02aEfo1/Cst+NLKC3GDINXQQh2i+bImhDF8nvHvWFgFsTuH0SfDyeUWtEdkQBUUAUEAXutAIjzV/bASP9GAcy1jWv+QEIsW3Tj+l8qJihsi+ecyqDoiqLHr4Y3hb2D2pC2D86LkV6GaNCi3a6OBkb7bgSbaeLntn5Cem7GEjVfCNTGCO10tP2Y5yYcLfkK8ZYETt6ve1Oi3n76/tuMBRaNHNu/7NkBVFAFBAFRAFRQBQQBUQBUUAU8FPg+pDLkKtAxtja1AdRrCpvNVZGoB8RLaUAwMJGUlrC3otWhka9vfvUQRDix68cTThWeDahNDv1cmbipaSoYro4UmG9/J4wjj73m+0JEQUQS3vqtI6GuYorEvxIobRerRGr5JTkF3KldbS0YozThL/4VXn73eNCedvb4/Uo+t0Ozyg/qxrwWFfRvlDuRa5TFBAFRIFFr0AgYKQ74lDeztZP/1bbFP92qGA3dFGXP5tGizkERjsq4mjDqBjjpz8aKtqrJqgtU23KuzhJF72V0T7voru9bJaSOi4eDUnbfIzx0MP0Y3SUHpt22YmxkaYcGKOrKvHGxHz/N6yQtzyFOk57v3JAFBAFRAFRQBQQBUQBUUAUEAVuQ4HBfgdWQ/gVZsWWph68c/QApE6ZhJHC7JrOtoFvXG7iYBRmZIMx4jDUPkNjaMxLr4Qf4mCM2H2+IKsaWsiGrREvYk5qxUevhHP0zeVfPXHfJnbWvx3Fp1SWtVaWqq2iTPFGMOP6t1T89Nn4MnVicRM+SbW4rpUuUZkv2sqoMWNQxgiB5CJvQ4N5cappsUhoi/1qiIrmKfB0EG2Coujp/ziGXJBJnh2gMvTM6deQI6KAKCAKiAKzVSAoYHTVpTsuHsHBCELEzTiY9am3v6IKc1GAkQ1TYsdX96sJa38weH6j175oKqMJnjYJ1DVTgl1mTxe5+oGk92aibZOMcSD5g1A3PDGKj3HMNcVUH2r+rI+ND1+jS2TPyWfMpbLDWwZnvYD/xJlueZIx+p8p70UBUUAUEAVEAVFAFBAFRAFRYI4U8HjGr9Z1gQdVfW5GJfEi2BrxE+Kdsz7hWusAxkLKlileNnXTytBY0AhgfFzDw5SYC5eKGr22Rs0Y8zOqHr8vbNm9G/ExkhfzztPK6Pjsr76IOZLvZYwKMLZia/zsL9Ecij6QSztHwxj3bk4lVsYkvwA2DWbExOirla7xK5T2c/1Zl72wdoCE9gt2u0fpuMhDQZaJsVB00eT1qMenN5jkooy/sYsj+6KAKCAK3F0F3N3VukRa57zQJhEkqNmgqz7dcTmOTowKIa76bv+Zd72l0IYxqlrpbJyK3Uf/oCas/l7/mb/oho3pwEkvXaybQheZP+a5iX9E645YNgva5mWM3cee+PZlBCQGvUgGb5kxzjLkhWnf/v3KJ4oCooAoIAqIAqKAKCAKiAJLSoGxsQmCRXAwdrSoDJHAe8clSMW0Yn3KzahIo2qWWNCwe2MSePCZhz4/siMTCAlmLC9SJsbw3VmMf/jS0aToEop8Ky62/v/svYl/nFd97/8H3NvSAm0p5bYF7m1pe/srLbctLW1p2aGQ8qMt5QIFugBhSdKwlDVkaRJCVmwHL0kcJ473Ld4tL5JsyXIsyZZk7ftoRsuMNNJoFi3WYue+z/MdHT16ZtFYlmQtX17nNZznPOc5z3k+M55X5q3P9/vdsvbMFz78BIMP3LXjUnGLwYzGzRi4/87tDJ7LqyErIzANVklGx3/96JOUdwFjwjMNY5yKlU5rYuR2qRte1iPkVOTBAYaYOScmJrM8C+8X02DCUFZqwQTa+8SS2lLfk+UqPaUKqAKqgCpwMwo4VaSPetIwQgjhhDDG4YbjoWc/6jDGN4d3fzEZKG0Yo21n+/fdnpyw999HWvLnhS7yRGnZXTrkaBhj345/vhkR5nZtSoXraXshp+a2Zoa6NtMriwIjTXlzW1+vUgVUAVVAFVAFVAFVQBVQBVSB+VWAbI0YC5OWwvOtMMALhQ3bNxSQRPHL//86jIUER+NjrC73Pf3QEbDh0w8dpQoM4dISFl1S0PCD219k/N8+9tSu54obqjpNDsaPPvX5Dz9OHWTCpYmPlkLVL67Lryr1GROjAEYnVjqLiXEFREnbdwrYi4ZgQxgj/lI7nrYDcWWm27IInERMBjGmpr1EB1UBVUAVUAVuUoHJkehwgwDGNCZGk02x5VTfts8IQuzd8g9mxFR7KXJqvkjqxbODx3+AiZE5oS3/YFjlzMhokCN3udF95hAibbHb3w8e//6Nrn/z87MgUGKl57z+rCZGtS/OWVu9UBVQBVQBVUAVUAVUAVVAFVgIBUB5LXVdVHLZs7lo53NFu58r2rOleN+Wkv1binE2GhOjwxgfvHsXIPHFdWeO7S0vOlnnVHhxUi9WdjL4L3/7JGd/9LWXNj5iDJDf+9ILJh9jZQAgyeF3v/TCiX2Xnrzn5e9/+cV7v75t3QNHzh6rmTYxFrVg0vNESUcHhhbiYW/JmhBCACPkcGx0fNYNABJpnpmYHsUAuZJkmVUKnaAKqAKqwGIqQGjzNGOkGstUoLSYGJ3A54Lwy3cIY+zZ8AFsjYYxthnGONxeONxGKxgsfLTzwd9mTt+2Tzsr5A03njCwcU50kcefrciLpYumw+TFVEzulc5OOb2rOe/n+lg8C2PkFBPmvLheqAqoAqqAKqAKqAKqgCqgCqgCC6HAYP/Q6UOXKSdNfsXDu0sP7bi454Xze54vPvBSSf6RK2BGikE//oP9oMIn7nn56O4yHI+4E6WKdGlhY96By6cPVkIOmSDtxN4KzhYcvvLPTtXpuz+zyZ6Szuc++NiOTUVSURrbZCpgXBlpGO2bBSEcya1yDVHkAMZUkNjfG2OcAj12Te2oAqqAKqAKzKMCYz01DmDMGCgtjDFy6j7/fxmbYveaPxuq3UPZaActFg630gqGW/KjFzd2//RdiYptBjAaumgA43h0jmkuJgZaslgE3XCPaUyeR0FyXMq9h9R+jotkmkYQtAczcqiR0Znk0nFVQBVQBVQBVUAVUAVUAVXg1ipQVdpG0r+2xp7m2i7Cli+dby4/13Iur/ronrJ9W86DGc8crtq9uRg2+M0vPHti/6Xay34DGImALm0/8fJlRoCQ9VWB3c8V/9ttT/3wK1uxL1ZfCnzjn58RnPj9L7+w74WSopM1BUer9zx//j//9fkvfnwNBWWyhEiX5DcCM++9YzuNTmvjjHLMt1au+b07paWxONo1O30DgESyWdoR6UxOTjJOwRfPuPswa2Fq90TtqwKqgCqgCngVmBwbNoCx4Wiiakff/ttDz388tOUT4Ze/nqjea5Mxmsjo1oJY0U87H3objLHr0T9IlD2PcdEwRuhiK6kXpbaLU9hlii6S4NF7sxs5zjEhIdNuZNV5m5uFf/bfRIj0vO1PF1IFVAFVQBVQBVQBVUAVUAVUgUVRgOrSFJu+eLZRShvjlCMat7y4lRBmnIpUoz55sOrlly7s33qe5IpUkcZ5SOkWGCOt4HgVsc+Fx6upMQ08PH246vi+ckMgKzo2PXYCuviZ9/9kx8ZzpHAkRph6MckcjBfgmfUmRDpzIemHvrFH6KJljIsixi24CTDW5GYcSzJGQCKywBIHZwaJM4FB3pFMW/S39aHzZNYKMpmu1XFVQBVQBVQBFKCWdKJye89zf9u98YPdGz/c88zf9jz70dAL/yCMcQozwhjzE2Wbux59O4wR0hgt+mmSLlIOxtSehi6eHG7Evkg6x+NjPbU3r22WQipiGpxzOZUF3dst3NXNP5euoAqoAqqAKqAKqAKqgCqgCqgCN6QApYohV3gR7VWwrNbGnvLzzVgZTYFpU2O6DZC49r9MnZfPfehxoqQp9Ax7PLannEbZl+efOkWSxlOHKgmXpsw0dkeCoJlMbRdLF0nnmGMVafIxfu9LL95353aaxYx2eyupQyi08SWebZpwFX+RaGgwo3sQfshMAs/t40OGbb8nYHyPNN5NO6gdVUAVUAVUgRtSYHJ8rG/v7d3r39+94QNTjPEjPc99DB+jYYYGHjp1pU1p6fyhK7u7n3onjJGI6cipe5LeRVPYZdq+ONZddUMbyDIZg2JaryCDt8q7KLu9lghm2hinsjyRnlIFVAFVQBVQBVQBVUAVUAVUgZWkwHDiKmAKWnh9ZoQt7AvbIWkScc0V5dXsMbHSF7b89MxnP/DYZ973KNxv0+PHX1h3ZtNjx6ntIqHQax84XH3Zd7Gg8a5Pb2SErIzQxSRgLJ22L7JgdvsiwO0Ht2+9/64d990pzZDGlaS5fRbBhrzaEek013bzpjTVTmdc9DX3MjI0BRWjkSGi2knJyJtGyWlO0agJ7llHD1UBVUAVUAVuSIHeFz/VveF9DmN8v2WMxEpP1XxJYkYHNp4ZqjnYs+H9hjHe/+bwga+ZQaGLJvviceq/3NCtZ51MikXKuFBXGqBHo8PhLcm76NkqIBGzIgHRYqekw6HSRY9KeqgKqAKqgCqgCqgCqoAqoAqseAUIdgZPdbT0ep4UK2NHS9+FgoZ9Ts0XQqGJcc7bf/kHX35RiKJ9/fyHn9i+vlDipjc/dYpx6krDJLE+QimxR9rgaPyQM+tHp6nwAmB86Bu7H/iPXTBGaU/96LBnbyvjEKcoyoe6Bz2PQ6QzhW84NdA/7UikFo+dRiQ1bkYmIC+kkc4KK4tjn1Q7qoAqoAospgKAu57nbute/94kY9xgYqXJx2hqtZi60jQYozRjaAQkgh8BjKEtfz9M7Wkio80rdLEYP+Ri7lzvpQqoAqqAKqAKqAKqgCqgCqgCqsCtVWB0ZFxwVltTyCYDlC0NJ8bOn6yj1MvBbRehhTTCnCFam3966v67tj/0rd0PfnPnjg3nMDqKWbHoZP3nP/Q4gHHjo8cPbr9YcPSKoYvOhRUlbUnvopN9sawYtJieLkIg2cnaB448cPcuMOOaew+v1CIv4mAM+MKpHwCoI9jQHbrumYPjlFyXzKEBKj1n9VAVUAVUAVVgDgpgvcOGF3r2o9M+xg0f7Nt3O8zQMEbgocWMyWjokwz2H/uOU4Ea46KpHD2PkdFzeAS9RBVQBZagAqMT14LD49LirsQ4S3CruiVVQBVQBVQBVUAVUAVuRoGxsQm8cKAqyq80XOnqaO6FfcGvSgoacDBS8bm+uhM8aCDh+VbI4f4Xzgs8hIBdoZkaLqZ974svQBd/+NWXik7WURqGzI3TeRfd3sUUulhw5Mqa+w/f89WXfvjVret/fHyV5BIE7aI52Db1vaPmzoXCRs7y1qSeZWQofpXSPEygYRAdGx1PO40q1US7pz2lg6qAKqAKqAIeBWxGwdBzf9e94f3d699HzRfqSjuA0WGMMzCjeBrFtYhx0XgXx/qaPGvqoSqgCqxOBQCJDYNXz3QldrXGPG1/W6yoZ6g1NgZ4XJ3i6FOrAqqAKqAKqAKqwMpWIByKXSn3ARVhVngaW+q6q0rbOJToafL+1VYGTh+qpIYLjBHSCDwEbVG9BcxIIyWjCY7+yJPFp+ryj1YBIU8eqLTGRRMZPV02eoZ3seBINQkbf/Dlrd//8os0XItP3POyOzp4Bcsu6RYhuqnPSJ0d3giSZKaegkyWOjHUBEqLDRJ5YYmemaOj4yzCO7hKgK3n8fVQFVAFVIE5KCAZBZ08h58NH/7GUPV+406kNdJMYWgHJApOnPF6tat8cmx4DnfUS1QBVWAlKQAzhBzmBdJwRQ9m5BDSeCk8qphxJX0A9FlUAVVAFVAFVAFVwCpA7O3k5HUO8c5haMTBODExKWeJmD6x/9KuZ4uKT9UbQ+MFU2CaCGhII5ZF0CKA8YW1pxk5tP0iORgLjle7w6IBjE5Y9Ay6SMbFdf91BNMj3sUffmXrj77+0qPf3/+T7+7b8/x5u6UV3EFt8Y56Sr1QJBq6SDS6Fd+KwPsi7JGwdCnN091hqkjDh+0cOuPjE7xBjIMiU9mje6b2VQFVQBVQBbIoMDEYuNpZNoUZhTFOv460FY711E6ORLOsoKdUAVVgNShABPTF3pFUijjrCJgRJrkaJNJnVAVUAVVAFVAFVIHVqYAtMA1XFAUImr5Q2ECpaDpSYPpSiUnMSOmW8/m1D9y147tf3IJl8Vxeze7ni/e/8Ao4kWlJ4+JUWDTeSKCiuz3wHzt+9LVt99C++tIj39n7+A8PPPb9/T/+zz0TqyNHDXkvhTFiB6USNNbN7sAAdb1hgxSP9nz24I0IzqnK0nY3e/QgRE7hKWUacdawSs8ieqgKqAKqgCowBwUmhsK0sb5G4qChjvSVK85BRr1EFVhhChAKfaV/9EhHfFaQmH0CcHKFKaOPowqoAqqAKqAKqAKqgFWA6ipAKuKmGQl2Rgi2LStuwhrHYacvfOl8s9PIzdgqTkXMcuXFTfu2lOx69tyZw5WCFq1x8fyp2sM7Sg9sLdn5bNHOTUUvb7tAZWqpGX3vHduJkn7wG7uf+tGhJ+95+eFv7/nRHdsw4NmdrOzO9euv+ppDEpyO4NKaarrcCBEFcJZWlRlsiNqecjxufZgm9V8wQEYjGq/n1kb7qoAqoAqoAqrALVNgpCkvcvx7TgD+Z+iMtJy8ZVvRG8+HAtgOSaWYHRve0FlWm4996RqqgCqgCqgCqoAqoAosRQUG+4eG4iPgrNKiRiKm+7qno8AYr68OlBfjUWwlB6DwxhN7L+3cdG7/1hKcihYtlhY2Ht97afv6ghd/lv/i0/lbf1ZAo0M78NKFpx86et+dOx74xo419x2i1MsTPzp0z9deWnP/oWDX4FJUZMH2hGOzJzDQ1hgiJWN0wAsGwYZ1FQHoIgW4M5V0ka1Rpodp0MX+cGLBNqsLqwKqgCqgCqgCqkCuClwfi0MUqVHuaQxyKtdVdN7SUKD/6gRuQ+KaU+Hh7tZYppY6Oe2I+hiXxpusu1AFVAFVQBVQBVSBhVIA1gezwheXeoOeQASroUmuWNxSfLJu+8bC7RsK6UylW2wh2nf/lvNbQYs/yz+6u6wor44RUjueOVS5b8t5gxl/VvDId/eue+DI0w8eJR/jw9/aff9dO+BjqfdazSOCDTF82oj1tGpQkYd3iuZGwWln6qAqoAqoAqqAKqAKLI4Cg+noosBGGOPi7EHvcpMKUIqFqtBpq7dkgoqp42mhomeQu9zkVvVyVUAVUAVUAVVgiSggZSOWyGZ0G0tHAapIj4ykT0A9OjJWVxWAfQEMt20oOLar3KGLTZJu8fCOi6DFHRvPSUC0O/sipNGJmD5HkPWxPeXPPXkKN+O6B4/AHtNWT146aizyTlrre2CGyJU9oSJQUejiajN/LvLbobdTBVQBVUAVUAVyV4DIaI9x0XPIhNxX05mLr0BgaDxLKLSliHtaY6a1p2sznY0eoug5xBtJXsfFf0y9oyqgCqgCqoAqMO8K1ISKOgZrx6+NzvvKuuDKVoBa0tgXSa54sbDBVnLJO3AZurjtZwWUmXajRdv3t4UxRpJ+kHyDRAFLBRNseEtQKzJSPnHPyyZd5B3b6XC4OJuUItF4PqMD2TLzxKLDzAEwhrpXV2j54rwLehdVQBVQBVSBm1fgWiKYuLix/+BdbsLGIYOcuvn1l+YKWeyLogMTlubOV/muoHyXwtmqt8xAiw5X3NcWy9QEPNpLPFDRc6iB0qv8s6ePrwqoAqrAvCtw/dXro5OLnUKNm17qPkFLXB2Y9yfSBVewAqMj49Ctcyeqqy/7ycco/PBCQSPh0gRBnzlUZYmi7eDKw/qIJuGQ8d2RMNDf1keHCiZL00b75D2HhC5axrgIbyjloYkWnxUbMq30rCk83RecTpK5CNvTW6gCqoAqoAqoAjkqELu4wc0VU/tgxhyXWl7TqOqS+rDuESYsryda2bslFJrqLWlDod0Y0KJCyKGFipgPaQd8001GeJU5BjO63IzuBT19NTGu7I+ZPp0qoAqoAouswOT1SUBffbhk4tr4ot0a46IAxtFJb42JRduD3mg5KlBXaeqPNFR3snkqwoC5KIJccOQKdHHP8+ctVKTDTNI2ClqUJ8W7yLUBX1gMeKn1TTIJssgc0k0XpZ9pY/M43tMZQRyKR2dZc3JiEucnHDIcimWZpqdUAVVAFVAFVIFbpUBkpmvRjdfcfdyMt2qHC3dfBYwLp+38rhwcHk9bvcWyRNuxkNDSxSmuGH/Z520HfHGQo5BGMKObMXqgovtQMzHO75urq6kCqoAqsMoVuO4ARnDfYrK+4YmYAEbuvsr118fPXQGxIJIhcGxswn0VVkbgWEdziNhemhsquqcRGc00Lue1ubbbfSpLn/LWeB2zRw1nuXwOp24JYByKjSALT4pKafcMZTUx5koX06qjg6qAKqAKqAJLQIFZvYtuxsjkJbDl+dyChkjPp5oLsBZewSv9aUKhLU5M7Ui6RWihNShCEQUtHvTFD3aYdsh5NX3nlMWMSSvjlI/RDRXdfbI+LsCz6pKqgCqgCqgCq1eBxTcTRkd7uWlVMD+76ARQT16fgZKyz9ezK1uB6nIfEAxfovsxsdUxiCnRPZi2T1lkZtLwN47nltQa2lZ+vlmugkmOjy/Gp/HH/7nXzRiJmE77OPM+KIWhr5T7sIamLt7a2ANd7O9Nk05hoD+x67niR7+37yff20duzIG+NHNSF9QRVUAVUAVUAVVgHhUguaKbH+bSX2H5GLXIyzx+nOZ3KUKh01ZvcRPF1LothhC2mpBn41psi71sAqINXRSoeKQj7mlJ0jiFGbmKa3PxMc7vw+pqqoAqoAqoAqtcgSnAuHhYIDzcyU2Jy86ifOxqP3Mqek76BquzTNNTq0cBTHQ9AW/STsGGlaXZYntFIoqSCCrMvTqJrznEJRcKG6km45DJRgooL7TgVHWxaRjpLFqRF56rrSkEqqWMi+cZJ8avERydlhwy+Nj39z/4jd0P/Mcu2v137QCQpp3pWVMPVQFVQBVQBVSBeVTghuyLgh9XlYlRK7zM44ctx6X6r06kDYXGQDgDLaar2yKWRbiiJFqELoIWD7no4pam6O1nu997oP3d+3yfPBnY3DAovNFgxiRjNGRSGKPczm1cdPcJ2c7xiXSaKqAKqAKqgCowqwKXe/JAeSPjiwcYexKt3LFl4HKmvY1fG6sKFjCHVh0qzDRNx1UBgpdBf/WVgVmlqLzYzkyqw8w6UyYMxa9K3RPyE5K/EQsfl9NqL/upNZPjIstu2tjojEdD3utOzHSmRJQ7nyt68G5DF0GLtPvuNMWvt20oXHYPrhtWBVQBVUAVWNYK5Jh90e1sXHmZGK+PxdMGSjPIqWX9/i6jzVO9hcSGWaq3WLpo7IUppVum0aLjWgQtHqQRCu0zlsWjHfFj/vjthd2ve7ruv/20xrafW1PzxztbNzUMMEesjABJScloGOMU0nRzRdtXwLiMPl26VVVAFVAFlr4Cl3tOGsCYWy3p8YnRnkTbTSZs9EdruSOvmcRp7i9jAhZHXut6z2eapuOqAMHOYMCy4pbsUvT3xmCDJQUN1EHOPtOevVJmIrIJGbYjWPsqL7aZdfIbAu19Qt7s2ZXXoeI2T1pXEciUmJFHxr4odPG+O6GLOyS4++Fv71l5augTqQKqgCqgCixlBdzkMPf+Un6iOe+NWGmIIjVfaHQ4nPNSeuENKRAYMtVbLLhL2xG6KAHRoD9akig6EdBOBkXAoBMKbfyKsUO+2JEOWvyo36DFF5ujf7i9Fa74pmfqbz8bfKQivL4u8u+F3W97oYnB//FMg1gZxcfIOrmYGBUw3tC7rJNVAVVAFVAFsitAGLIBjOOz/2WTmiz14VeYjKsQIBkcaqcedPbF055tHahgEUBl2rPBeBtna/qKoldNqsbmgfK003RQFRAFsBQC/YbiI5kEwXBI3kXm+Nv6Ms3xjJPpUUDicOKq+xRGvkA7dahNpRiihj1n3TOXez8aGYbH8pi0LEHl5F10jItJ76IARqKkl/vj6/5VAVVAFVAFlpcCuUNF98zl9Yy626WpANVbLoXTVG9JBYxp6aITBO0q3eKEQhu/omNZTKJFx7h43B9/z4F2QOJf7++ATJ7qSth21J/4wKEOTv3m5oatLSZcGsaYamJM3RIjChiX5udKd6UKqAKqwDJVoKLnNBxveCw26/59kWpmAiQpA9075Jsz/Wvsv8i1/SM9qXccGotc7s7DVMl+IqNBpvkGa1Kn2RGqwPQN+yeuzYjrtGe1sxoUCIeMO5EKyGmrk1CZRWyHFRcylkj2qDQ6Oi7Fpjta0gNJbJCUVOamTFup+QZhp5J50tfc69HHfbh94znHu2gio23TEGm3RNpXBVQBVUAVWAQF3Ngw9/4ibExvsVIVIBSa6i1nuhKp1M4GQbs7UhLaehfxFlq0KCWhQYLSwIM0wqLFtXjcnzgeSJzwx9dW9/93vIub6sGPp7sS7iak8a/2+WCMHzzUwYW5mxgVMK7Uj6g+lyqgCqgCt0SByp4zcDyYYfa7B+PtTKPB/ZgpVsa0kDD7OpzFncg6FIn2zIQT4o3kVO+QSZQnDLMr1uiZ5j4EPzK/JnQOd6V7XPurSoFOXxjch6UQ3537wQnyLXXqs3A2Ghlyn8rSr68KMJ/60ZkSD8q1+CGZZlYeyHXlLDddgqfgqLN6PuGrj3xnRtlrLfKyBN9K3ZIqoAqoAitegdyhonvmipdFH3AhFIDIpa3e4saJnr6li56Y6NSq0AIVP5UXeMOGuqerIycC8ROBBBkdaRgX4Yd3FIdAi4DNM13DZ7qd1jXMCIxxW0uM3IyvWVv7vFPzBUQpJkZuSrJH2VIqDl0IiXRNVUAVUAVUgVWrQBIwjmUrjxsdDcPxaN2xZoS6/ur19khVVTB/ck5YTzyTqYkcJXTaFn/hXg5s9GV6a8TiyBzLKqk9TUh19Go40yU6vlIVkKBmAwaLW1rquuurOvE0CgDktaU+jV02rRSSrZFLBnPAhp0dA8zkRtcnnVIoaVdc6YMwRiyLcEUanZVq6Vzpb6M+nyqgCqgCy1uBORR54ZLl/cy6+8VVgFBoqrfgLUxldIxYoigeRSngYl9BfBYt4l2UqtBuurizNXrfpb6HL/VtbY5iWXzfQcMSbzvqhyueojl+xd/f1sLg+tr+/O5EftdwfneygRlPBYbvLw//5T7fa9aayi8fPRxwRUlPZWJ0NunZ/BH/4lX5XNy3S++mCqgCqoAqcGsUgBPC6LI4GEcnEwIh2yOV7i1m93e5Z7r7MEluR/N4Dol0ZhAH48T1ZLxzh+NOjKSLpGbBsckR2VV3wjBP+V/7YBWLdMWapgb0/+dHAajR9g3nKN5Bo7M0IRJRvYBEcB+lSUi6SMFownsBgJgYJ8av5SIE1aKpF8MlTbVducznn4BgzCxZCnNZR+eoAqqAKqAKqAKqwM0oELu4wW1NzKXPJTdzR7129ShAKHRRz5AHzdlDD1oUluh+TZZxScZEJ+kiYdESEP1CU/Qv9rVBBaVRD/pPdrbeXRzi8FfW1x/zJ04HTDT0me7EW583lVwO+eMFDlqU1y1N0X862flrm+rl8t99sfmr54JsKU2UdDrAWN6XMYf56nl/9UlVAVVAFVAF5lEBiUoeyuBgJMlhrRPRTEz09VfnIQwZ4yIMEKrpfgTwJnkXyb5IDkY7jpWRmZgS7Yi70xg2iRx5tYNs9XK3KVgzOq5/jLOqzEMHnAhXtBn26HC4NBmj+2mp8kzQNLSwL5jNneu+pK0xxHxac203sNF9KlO/obqT+bOGEme6XMdVAVVAFVAFVAFV4OYVuJYI5gIV3XO45ObvqyusYAX6r05QvQU8aFliaictXUwSRVMY2jT8igdwLbbFDvpMO0RtaCfLIibDr58L/tL6OtjgH2xr+buj/i8Wdt92NECYM410i4x/v7TXiYZO4Fr8H88YiritOQpaPBZI3F0S4irhim/YUP+JY4GN9RG8joRU44EEMJpEjj5Tk5r9ADyxVrJbzyPwjCv4HdRHUwVUAVVAFVh8BaYA4zTZc++BiGOQHXPGJ5IFo6k3TXbE8Wtj7mm59+NjERasD5fYS/A0CsOkfrQdpCO1YEbS0UIqULNIZfCMu4x133CAQa5yL6L9m1eAuFc3XZT+0i/k0RMw8ctUY8lRgXhsROjiBad6MiVO+ntnJ9WSsLG1MZTjXXSaKqAKqAKqgCqgCiyEAjdkYlT74kK8BStjTaq3EApNbLKHxaU9FMBIKLRYFkF5AhXBekRASzNmRZ8p2mLQoi8G96MBAAmIBg/CEu8sDkIFba5FrnqvUy2as3+6u9WJhk4UdCfetccYHf+toOuDh/yvW1dL/+fX1Pz5nrYflYXzyMc4lYkRS+THjgQ+d7rLAEYnDWMSMDppGN1PwR1XxlumT6EKqAKqgCqwdBSgQgpczm0dtHujwAqnTNlol78xEG9g0B+ts9Ny6QyOhkiZiMlQEifaRItc6xs0xakhmZ51ZGM2YtqexWyJ15FLoldn1LeVujPhkU47UzvzogC59VIBIybGeVl84RaZnLweaA+PjuRUYZxg56rSdgAjgdUUnsbBKLCxrjIwNppxBSKvhUYufT/nwumsK6sCqoAqoAqoAktEgRwzMWr2xSXyfi21bQSGTPUWN4KzfetUTO3gDHTTRQsVgXs0KJ/4FY9OccVj/vgxx1v41s0NQMIfXwq76aKkWwRvklCRs0RMswcsiwDGfy/oZkQa4dL/XtjNfSUTo6n24gBGLgRXMudjR/wGMLodjCmAUetHL7VPoO5HFVAFVIEVoEBNyKnpPOat6UyFaCAeDTbofsyqUAGDCdd80iTSsgdQN/WXAQyJd5ba0P5orazZP9LFaib14jUvxqEWDHHT7lvTx+4oG4Zzuk/hq2QdWCgT3OPav3kF0gJGBm9+5aWzgtShhhZSOll2RW1oya94sbCxO+D91yFzOlqcHI9nGwnH1v+pAqqAKqAKqAKqwC1XYFYfo3oXb/l7tNQ2QPUWQqHBcRYn2k4qTrQjUhh6X6sp0AzoE+8idBGm55gVDVqkwRVpEEW44vFkSxwnwNnJsviH21vz/Mki0aaei1MMmoyLtCP++Bs3mujpL+R3ARgLuxPrayMcEjr9WFXYQY5QR9OklrQUkmYRcjAKYARszgCMM0OkySq51N6IJbif2oGryPhic9Q2Dltic4zjW4IPqFtSBVQBVWDeFagVwHh1BkIxLsEek8+wJ9HqviOEUHige1ACnFOrQts5w+NxEGJ9bwmFXajA4ixroqEpHwMS5NCWgbaXSC0YrrIj0hG7IxHWnhoxgbgxW/oGazzz9fDmFVimIdK5PzguRzEielIpUhuakZJ8k5URf+Ng//R/iUEUOSUux57O9OkFct+AzlQFVAFVQBVQBVSB+VKA5IpQRI+bkUMGNe/ifIm8AtYhFJrqLWQ4tDjR3bEgkY6wRFsSWjoGLTreRYMWnchooYviV2Spb18Ivf9gxx/vbH3nnjbMh8DGE/64mBV5/ce8ABjwq2eDeV0GMEqpaAGMyaSLXYmvFBnL4ls2NxU6ILGwJ/F/drYy8tlTIEeCpg1dxMFog6MlAeO797cz55sloSyAkeLRPP4KeBMX7hHGJq970KJljHQ4xYSFu7uurAqoAqrA8lWgtq/YID6XI5HEhlVBY1OkKLPnuXwRE87sLtNMfRZGCE9mJoyRms5Uf6ZhTbTRzd2xVlChXCWEEHskhLAuXMK1HoYpd6RItLPsdKpGxiMjQQZxNnrKuFx/9brUwibBI9O4dngsNnYtmTRSFtTXOStA/K81Md5353baI9/Zu5KCgomDBhVWXGglqjpVpeHEWHW5T1giVWOo6tJU01V6tlFGfE0z/L2pl+uIKqAKqAKqgCqgCqgCqsDSUYDKJoRCAwbdRNHdt3QxyRKdIikSB21fuVzQIq+UcbF0kQmfP931y07pFkCfbb/+TMOOlqhBiIEEUPHdTgT0d0pCAhUZFAui2BdhjPkGPMZ/wcm1+FRVBMZoTIx1xsRI2sZnGwYo+0JjplzIOoDKTfWDr11X+5q1tTyOJGAkJ6TsGRzKczG+3xfX2i6zfhqp1u0miql9GOOsi+gEVUAVUAVWoQJ1veehdrZYM9xPkhny6nEJEgQN3GMy8chWqEDUpGQMxtuBinTcrTpU1B1rgkACEquDhUL/mvsvMQfLIlHSdJr6S+1S7g45ITnLZDsINqzsOcMgcNIOSmdwtJdxQqeJ1BZeyqEzck5TMnq0mtshOHHbxsJHvrOPtn1j4Uqii+FQVFBhNDKcRZyeQASXY0lBQ3lxi8yvvNjWH9bk2Fk001OqgCqgCqgCqoAqoAosFQUIhaZ6S9pQ6FS6aFyLU6VbAHSCE+0rlkWhiw5apDa0CUaGOG1tGnzr8yaz4q9trAczPl0b2d4Sfaxy4PdeamYQqCj8kNc/2W28iBSJBgwaQpgGMOJOTEidaKq6iIkR4+IHDvm5kLLRG2ojspqgRejicw2D2B05+6/5PWyGLYE92Sf751mEmipdzOXjSGR0KlFMHdFY6VzE1DmqgCqw2hQg3BgWZwGjOAyrgwWpdaKlPgtA0i2ReB0ZJNi5PVJJikWmYVZsGaioDp0DSEIFsReSgHHMqUMttwsOtXNTxlPvIouT+JEJbMbeCxRpRiLTI/ZUi1PqmtUud5+kfAx7oCA1MwWHsreRSQVBVi3tTCtAlZYyBxg213VPj2bo9QUNigx1D46PTaT1Oma4TodVAVVAFVAFVAFVQBVQBW6ZAlRvIeWgmyJm6guFs3RRiKJTGDpOYWjbAHeCFnk9SCPdoi++uz3221sM36OIMyMQPxP77PDDPa1R8TQ+eKmPiOYz3YlP5XUy8x9PdFrkSEfsiEwwlaO7hgs6hz9+3ERSY1k85jcx0SBHpr3nQAeDv7iulmLTP64IP1HV/+2S0EeP+DEuMv7Rw055F6d+NBt2A0ZCszUyOpdP4az2RYGNamLMRUydowqoAqtNAfErCmAU7mfKRk/EUnWA3YH4YHf2lKRkZBDf4Mh4GogXuxqu6y2pDObDIYmSbh2oOB94mfmSepGzdilPJzzcyTQbix0canPuUpRawwVEebnHFJVmfc+2xydGWyMV5sJQUfYaNJ676+EqUaC1vgdmWFrUNDGRU20gCr6QkjFLXWl0GxubiMdGclxwleisj6kKqAKqgCqgCqgCqsAiK0AgMNVbIGwenGgjoD0dwxWlueq2wOgcnOhUb5EaLvbVVIiOHfLFpJ7L3edD8L2/2OuD4wlaFLoo8c6SdPFPd7dK3ef7yvqY/L9fauasuzmY0dRtkWkfOWxYIu3uktBUxkWz+G1TOFHOyuvbXmh+sKKPzYA3pbyLxEdjX+QRrvRr8qhcP4CpZsVMI7muqPNUAVVAFVg1CjSGL4LgoqPh6NUwHRoRx6lPT0JFKftCqLI9m7Q7hgpTuZ/MIcia4GhMjL3DfiyFRDEfb3xG7gI8nLw+YZfydEjMyLTeIT/jYMPL3Xnc3cMP5RKAJzMhlu6N2dXYQE2fKZOdNtOjnaad1alAW2MIwIg1McfHp9RLpvlD8avVl/1SLIY5tNqKjljWsOscb6rTVAFVQBVQBVQBVUAVUAVyVECqt0DhPFyRQw9R9BwKXbQB0dC5JFo0IHFGE6Iog0f9MVMq2h9/1x4T9Qw5tMZFoYXiRaTOC2d/bk0N28CauN8X+4W1tZSE3lQ3mASMTkJF4280FsckYHzXnjZJw/j27S1SzwX3I8sSUn3AF737fJCSLkRe//2Jzocr+mQ/QhfZOfsHrlKxurp/VI2LOX54ZFomnJg6fkPL6mRVQBVQBVaDAo39BjASVlwZNBkOexLTBkX34/cNBzgLjbSDsDuJQU5NimjnEOnMHEySMkL5GBIzmnX6L8IkCZduj1RNXBu3823HH61jGjkVmQaWpM8O7Vl3R5IuZto2MznF5YRvu6/SviogClDDJXcpJJ6aKGn3JRSb7mjpLclvACpihqy+7Guq7So/3yyYkVPuydpXBVQBVUAVUAVUAVVAFVgIBQiFpnpLKleUEYsTrU1RarjIq6mEQgGUGckVHdeigxYhio9Uhj93ugua97eH/V8q7GbmEX8ctHjMb9pxf/wdOwxgfOxKP/RvyrtoUCHOwzXVkV/dWAddZMIX8qkBbfjhx4+bbIqOp9ExMVrASGFoZwK3oGLLJ090giKZuaXJoEihizDMEwFzU27NHtiepYsCRaGLZX0jgfgN/FfuQrwjy3TNVJCYaWSZPqBuWxVQBVSBhVNAchtiEYTCuXMeeu4o08CMdlxqOsP37EhqB36It9AdVc0crIbENWOYJKi5qS99kZfWSCX7oba11I4hOjt1cUakFgxo1FOPxj25b9jPUpmqybhnaj8XBaDEaT2uuVy7rOfgURRmSMf9IBSVZvxCYWOnb+D69ek61PHoyKXzrZzSStNuubSvCqgCqoAqoAqoAktBAep9fLEw+P6DHTQ6B3xDS2FXc9gD1VuI/wWy5YQWXaVbDFScaoIWMRYa46IpDB0/5NRtYdn7y8O/86Kp0uJuv/FswyMVYRCf0wzu+9Chjp9fU3NveZ9UbBEj4pam6F/vb+fCN29uuKskKB0AI417kVyRkS+fDUIOTVVoEy5t6KIAxtuOGgK5rjoiJae/kN9z2qBLk93xhD/BfbFN0kCL4lqUqi4s5YuNqWVxDh8ke0kmnJg6bi/RjiqgCqgCqoAoIOQQBIc7MROmAwkygSBlAqWtbpLeMIt1kAjoiu7TFF5JG7zcMVhLYsZMvkTZlZgP4ZDu+9oN0BH8iN3RPejpB+KNbJ5XzziHFLNmHIckfBVKCcbM4sZMvXx1jvC2omdtX1GmN2WlytLaaBI2XinzuR/Q39bHYOnZRg91lDlkaxTGCGx0X6V9VUAVUAVUAVVAFVAFbpUC0fFrEMV37fV5GoOculW7utH7Sig0PC0TV/QaF11oMelUdHCihBJTGNrhilK0hcyKBtxhDvx8fheUj/opHzzU8b1Xetdc6f9Bad/vb21h8A0b6na1RPmNAe4j7+LPaiM7W6LGu+iUhMYn+eHDBjlSjeXTp7qO+2GDw1R/5sInqyLCGL92ziBH2mfNhDjhzxIi/XJH/L1OJZc/39NGhPW3Skx2RwpPgy7zHOOi0EUxLsIVaUf8icrwyMBoxvRTNyrvap6fa5EXf3w1q6TPrgqoAqpAWgWohBKMtzcPlGcq6MxVkufQbSMkrjmZkvFaxozBFGoB3KX1KAKpwIbUfR6dHE67K4yRZd3HL/gPUcAFH2PaOURPS4x22tyM9hKJocYwaUfogFIJmgaUGXDanQcuk7ozHMI2M+3KvcJq7kvpcFt5fDVIASqU/IoDfdPFjKKRYegiDcyYSQSpPd3RrIHSmRTScVVAFVAFVAFVQBVYVAXS0kWBjZxa1K3M6WZUbyEUGkjoQYs2CNrdsQHRYlbkKoii05LVWzArivfP1IP2maItghYxBwoAfOvmps0NgERDEaXhIXzHdsMYCZqG+DHICM0GR99f3ics8a/2+Xa0xAody2Jhz/AHDxlT4gcO+SVKGsviHcVBMjEy+Evr6z50uOPjRwN/urNVrqUwNBkUQY7bW6JMkFrS8EwTlG3Cos1uKWN9ITikodBz+hxlvKh24GqqWTF1pCWmEegZNdQTqoAqoApkUaCu9zzkLTI6/Z8cUuXZnZIx9XLHhZhHhHLqKZIrUvmlqb8s9ZSM4Ccs8u89WPfTS13HM83pH+5iV+wt0wTGR8bjzAEeusvQQEcl8ySEEwulTQKJ01LK1jDfAySz3GIVnuKNQ1V3vPyKF6G5rhuQWF3ucz9pXUWAQcm+WFcZGB2Z9vfaaZOT1y8UNFaWttsR7agCqoAqoAqoAqqAKnCrFCAy2mNc9Bwy4VbtLft9CYVuGLyaGgrtxomevrdui0MXJUuhMf5JcDEJDKcCokGLgDtuIYkNiYPGgvi8QxcFIVqQCPR7rn7QOYwbY6FTeEVSL2JHhAe+cWPdj8r7yLUIS0wCxu7hLxaaUi+vW1d7zE9ANPVcTPbFe8r6/mBbi2Ro5Czt1zbVf/dir4mV7ho2SRe7ErglGX++Pmq9i4w3D15Fk+yi6dm5KTCriZEJc1tZr1IFVAFVYJUrMMXoTl9/ddJKISHMWRATxkgYFOZAi+/stXQwQ2I+7HOKRLvHbZ8Jp1o257U8h7vSDno6sodMQdYymQjoc77ddeEZELJ1oIK9YaEcHZ92o9nFKUxjzgYL3EzSntUOCvijtUiUNup8ReozMjwmFDEWnTbcSkpGqrqMjIw1VHdCGrE4dnfMSMMoapQVNXF2RSqjD6UKqAKqgCqgCqgCy0uBLPbFJWtipHpLUc+Qx6/oiYAGLRqc2D7drGUxGRDtZFaUgGLQIizRwYmmQkqyOQVTnLotCVyCz9ZHYHq/taXJWhMBfdNN/IquVydBYmLtlQioEDsi+BG6aJtYFr9X2icI8a7zISca2gBGUCFtT2uUEOzvl/ZuqI1IoLTQRQGMxGhz4YE2k4CxMjyqodAL/Y9ubPJ6FsbIKSYs9B50fVVAFVAFVqQC3bFmaJK7/gtlPhgx8NCVktHz7HA/5hB57RnnkFhsEjMCGLMEZQP3sDhe7jmdKVo5bVpIz72uv3odJ+ThhqfLuvOGx5J/ZiLvIhvj7mkzQ8oKvsEa5gSiadI2em6xOg/lzXWHzK9sHdqaQqn2xdZ6k5LRBkf3hxNSY7qqtD0em5FxEfB4qaTVLdHE+LXB/iGmuYvCuCdoXxVQBVQBVUAVUAVUgYVQ4P0v+z2WRc8hNV8W4r5zWBN73qXwaGootActWq5oK7a40aJJruiEEh/scDIrkq7QMSi+2Dz42VOdf7yz9Y2b6v/nlqa/2NP2dG2/RB+TL/F4IE5KRpjeL6+vg0lK7LMYFIX4GSro5FpMhkWb8iuGE0p6Rjih405MVmyRoi1YFm874qecNMv+yvr62892E2Ft1nGaXdyO2HGCc2Un/oRWb5nD52julxAE7cGMHGpk9NwF1StVgZWiQHikk2BeWBONDuG9K+XJFuM5SFeIqc+d5zA41A5/a0kHD+2G6sMlzElbMwU8BZxszlAYWlagRDXxy80pMdQwSUq61Pe+Uti+62D9muKOfYRgpzVJsg7FjomzPtb4THP/dBFq2VhPYgbwsduWjtDLymC+Z1wPRQGyL/LmkrhylQgidaKDnRH389Ze9gMY3dVbiIamYDSDtLbG0MSEcfwOJ0ztaQKo5VqIYnOtibaWhjES92PaAjHue2lfFVAFVAFVQBVQBVSBeVFgdsD4cprsRvNy6xwXkeotWPXSWhbT0kU3UbRZFg1XdOiiJFcUrkhmRYDhJ/MCr11nPIHkP3z9ekP8aERDf6mwmxhkAKOTVjH+1s0NjL9rb9vmhkHBfZRxeayqH//hp091Qgv/taCLKs+cAjPKK95FLtnVGpXwZwbFjkgH2ySxz1zydid/I9PwOmK5NBHWU/kbLcm0Vsmi4Mj7Dpg61FSRzlFAnaYKqAKqgCqwQApgsYMoAkM8jcEs7rsF2syKWbY+/Ap6kkcx0xONTiaY4Ml8aCfL5WRQtCOpHSqw4GDsjc/4L5yhsUhN8FxlT35NsIjo6aMN61/xH6LgSE3oHMAw1QwGAj3Z8jyMsXcqFlvCvUGXs4Y/M4dHoBiNe2+AVtIPOuVpCsjiiLeTJ3VPWCV9G/+ey/Mi0axq57LOrZ0T6h4cmulLxJQIJBwfm/EJYZNMI+MipzA0UhEG0ki/oyVZ5EWCqak6jSsS92NtRYeQxkB7xjIx8uA4HvE93loR9O6qgCqgCqgCqoAqsNwVWMoh0sHhcaq3pHJFT2ZFJsgIdM6NFt2lWyQUWopB27SK0EWoI6WZ4XW4Fr91IcRSsMQ9IMcTncDG16ytebo6Yuii30C/H1ckI5qZD350p0lkxLYPHeoQHoin8W0vNDH+g9JeiKJBjlOvrEkZaCKdtzZFoZSfOBb4ZF7n2uoIN+LUQxXhv9jru6s4yE3N3Z1W3T9KzskvnzWVpv/XlqbYuMbkLvd/fLp/VUAVWPYKpKWLAhs5tewf7xY9wMS1MbIvZqFGPYk2RAYSpm6QkOcs7FHm40iELpoY6onpEtUYKet7zzMYiDaMTYwSfA3oYxBQCbEEM7ZHqtxbwutIHepD9Wures7YOGupTZN2Y56tkraRfQ6Pxew4DFM+OZSl5o7skEOsmDgqPRzSXrKCO5iBeXwrbNon5e3oijVSBxytsltG016+xAcls6IbMJKh8fTBqq0/y6ft2XI+/0iVwMOSgoYxh0NK2saLhY0kdbRPR6C0sEpiru2gp0P5GLyO5HscV8bokUYPVQFVQBVQBVQBVeBGFFiCRV4Ihb7SP4rD0I0WPVDRfWhLt1i6CFr0lG5hNUmxSE5Fm1YRdyJkD173l/t8hzuGhONZpnfb0cCbnqm/+7yhfDQxFj5e1f9/drYS1/zatbVUWoEfUhgaA+SXC7up2PK+g+2SHfHLZ7slB+PnT/ew/ps21RPXbOyIzlI/q4384fZWxv8xr/OEQxRJZX4Cq2TAuCV5vft8iLMAzH880fliU7Q8PFrSM3RfeZh1GCfsurRv+jfRjbzbOlcVUAVUAVVg3hQgMlqIUKZXJszbzXQhlwKENqN52vIrkr6vNR17tAsQ9Xy552Rz/yU7QoewXOyL7sLT0EWZgBm1pf8ynkN30ZlgvO2sb/fJls2tkQq7ToeTXNEaGu14ageKyCPYwHA6gDJwItuwk6OjvcIhgdV2M/bsyu6IDTVLrW3zfoXOyT89yvGMpKuns6wlkrrSfcGoPEUsMvzCuvzNT5567snTm586tfmp08//9IxkZcTEKHM6fWGQY31VMlzaPj7WxPLzzZyKDgzZQXdHwrGJ1HYPal8VUAVUAVVAFVAFVIE5KJDFxMipOSw450taY2OEEmfnioIT7es+p5gLr7Z0ywEfvkQT+Oyu2zLFFeOkVUxGPfsTwFUComn7fSYw2TRbtyWQOAr66xL34MzC0E74szgSva+BxHcuGDZI7LOwxKMdibc4gdW/uLYWFPnx4/4/2pmsEP2xwwFu4WzGbAk7pdmkP3HMvBK13YlJkqXc7Vc31j9eFZlQ6+KcP2F6oSqgCqgC86dAFvuicA81Mc6f2DNWEuVJ1Thj1DloH6zKxB7tZC4H5aXFv5kC2+NXI6RMdONHCOHxxmcvdL7sTrnZPGDIJ5HO9l6eztjkMJZITJKnW7eebd9FSLVMkEo3mBU986msLQ+7ekoqiwK+SLXzPs6IYZdTGFzlLBOgvmnzcHpkXI6HgwNDIEHQn8TmH993adNjJ599/ORzT9DAjIY0njxwORyKjY2OywMSZ80lVIFJfV5qxMhqqadI7Yi5Ed+j2y2ZOk1HVAFVQBVQBVQBVWApK3AtERw881/hvf/eu+UTNDocMrj4e46OX0vLGBnk1CLsp//qBKHQ7uotboMifVu3xQZBi1mRV64yr74Y1VucAi4z0CKnCHz+8OGOv9rf9rHD/ier+sUrKKbELQ2mWspbn2+SyGUbxZwMZLa8UTqWQKYDjO5LXvd0HebDY0lrYmJTPX7FFssJwYbv2NH6k8oBUKdARdyVR/xTpas7YqW9Qx0JE9vSGhvHyvgPJ0x2x68UBfe1xaMaFr0IH0e9hSqgCqgCuSlAOC2II0sjzDO3lXTWjSnQP9IlshOMHBmd8R9Odb0m9NjtA/QsTaLFS9151I++obhjAqKJw2VxWY1FSruOHKpfB+Byx1mLgzE87LWQcRXTWgcqanvPs0hZl4mtPtXyPBVhMFvGRsMU0WbbYEbPbjkcHTcJJ4nXTj21gkeCQyYK3h+t9TwjOFHSVzpn6zLV3/FctRwP4YqgQqigGAuxLG589PjGR09sepx2csPDR59+6AieRvejTU5Mlp5t4hJyM7rH6Y+PTzCOj9Ezbg+ZYPvaUQVUAVVAFVAFVIHlpQAgsW/7ZwQtul8ZvCWMEfWw80EUqflCo8PhQktK9RaSCmYJhbZc0eJEIYpiVuRVoKIUhjalW4iDdoyLrIkb8KFLfb/xrCnL4m4ENT9wqQ97ISHMxwIJEi3+4rrarc1OEZZuKrCYZpMlSmFoCXY2jkSneothiVM1XGQmIxYwEvL8yxvqWXZfa/R4AIOiCXmGJa6p6b+nrPe+8r7d7THDFaeJouO09MVZqmXwKuHhCy27rq8KqAKqgCowLwrMChiZMC830kVSFQAhUgYFygSjc58lWpbBLK42kisyAdbnvmrWPrfj3WydqkxN/ejijr1nWre2DszIAynJIbsTXoxDAG9T30VMj9gRibO+3H26yL+HUjK+SA0VqwkHpmDNhcDB6mBBWuwJXWTP1J5Ou08gWybjZdr5y2IQFyiP7C7zzePLe8c4b/rQWDJ2eFk8ztw2OTo6LukTqdXy9MPH1v/42IafHF//0LEn7jnw4Dd3Pnj3Lg49Kwe7jIkRzOhOw8gcDhknr6NnPvZFz4geqgKqgCqgCqgCqsCyUwCzopsruvucWnaPc6MbDgyNF/UMuUOh6btdi4IWLVecJoo4FU2LS3NCoeGKMU9haADjRw53wBUJTP6/JzvBehvrB799IST1XEiTCHsUvyIJFZn2ls1NdxQHya/4WGWYGOfPnup674F20iRSS+VPd7b+W0H3sQ4ngNoxMbKrr5wNEpRtQqqdnIrih5TXr58zIdJUmpbYZ3yMTuBzkijSZ28Su80rRJSY6PK+kdBwMrzlRpXU+aqAKqAKqAK3SgGJXQV3ZGpMuFV7WyX3BTq566Tw1IF4gwFTA+VpFSD7orxZ7ihmwpDJ3AiZJG4am2JtqIj0jJgJSYFINC7rkP+QERggJUXssowwv394RuGMxNUB1pfqMHYmHZyW0EXCt+GHLMsc3K3ivhu+GjWYkeR5bS++0nkI2Ihb0n0tfTJGcsn1V2ewIC5n25Kr0FkwHzMkG/Bcm+WQBbFiZplwC0+Jb5Msi7IHnhT9RTf6t3Bji3xrTInNtd2wwXUPHrnvzu0P/MeO++7afv9dO+7/jx1gRuKm+QcQ7JzxJkpd6fLiFjdjJJcji3jqvJCSkXrTNs3jIj+a3k4VUAVUAVVAFVAF5kuBtPZFwYzESs/XXZbaOtjzLoVHoYU5okXhig5RNFBR6rZIfkWTYlESLfqSwcUSbiwpFr9WbEot/9aWpucaBsVeKA5DnIeARIKUKdHyRFU/ZsUXGgbfsMFUTsneCKM+0BEThAhyZPK797fLIVWebftWSQh6yeJPXulnJ5JNEaKYhIrOhqWeNa8gVl9iDBvnUnubdD+qgCqgCqgCuSigRV5yUWmR54DdqPgMieqI1np8fVLi2UCqnjPumilkVmSQBhikjzuOCYRRm0jq7jwYFzG5l7tP0iy+A2xW9Jyp6kljOITysRQlYOyDJ8YGoIt1vcVAM5IuVoXM9tyUjGDYrmhjbejc6ZYXL3YeZv+e4ib4Jz05GCkKYyOFjTGy/6Isy8rATJCpvXuWjrgEAarsNpVqZrlwEU6hiWBVnIq8IzyXebTBqqW2z0xSEKS8fcO5h7+9h0YnNWY504Vpx6nyTLj0w9/eDWOELv7kO3vX3H+YoOnowHCg3RR24dV9YUt9j/gV3YyRNIxUlLbTrk9eF3ukv63PDmpHFVAFVAFVQBVQBZajAm7LYmp/OT5Rlj3D0KjeAo7zcEU5tMZF8ivaFIsutJjkiobLOZY/a/8TcEf2QmMR7CAMOVkw5WVfjBorZEFcXxcRm6K8Svjzme7E184Z/AgzPN2dyO9KYID8wumuv97f/ie7W00dlqOBr54LPljRt6Eusr6u/67iELWkmY8lkkeAJVLW+fVP1zHyRztafnwpvK05+nx9lGSJb3cKQ//S+rpHKsLGqegEQR9y3JXOq3kQMClx1pXhEQ2FzvKB0VOqgCqgCiwXBbKYGNW+eKveRFx5NaEieBRBzeQ2xItIQj8oHCNSlJlBu7fISA/jVHD2pG0ETjJCHZmOwVqYoZBGexWh0GRxbB+osiO2Q65FiZ2nYsukU4calgjEIz0jC1Iphtvx2fDYETnEx0h6RrmWOb7BmrTh0twI5uYg0BMtA+Wjk9PZ9njw2j7z4C1Todx2V2k77EfCzEUBrgI5ejaW9sLFGZS3jL3ReC7PG7Q4e5jbXcCJcMV779huG4c3yRjZCWVfDu64uIE0jI+dOLq7TEpCVzp5GlPLQ7fUGd8jSRfHxtInV4QrMgHGCGmc22PqVaqAKqAKqAKqgCqwRBRIhYrukSWyyZvfRnB4nOotIMS0aJFBoYvugGjQogRBi19RuKK7HnSSK3bEN9RG1lyJcMq4FgNxkh9C/2CAX3f44XsOtCeJYtfwmW7T8rucRqLF7sTvvtAMIfzeK33MyTepF4d5BTY6/WQaRsGSBEGvrY4wmcyKedwFxuhPEHMNw2TQ3TBGvv9gx+b6wWm/IkTUFwN40kgUWdY3Eoh7455uXmRdQRVQBVQBVeBWKQCGSssYGfTY527VDlfnfaFkBus5UFHoGUHT+A/J6cehG1WJ4bAn0ZpFKKcCS547PhoSCHJ0x1m7L8emKJHLuB+pd1wRPH3Ot+ucf4+wsvZIlfVPYqrEmijJFQdHg43hV1oGKqJXe8WEyeWpmQahjkIXPZ5G2QDeRfbGjbBNureUpU9+SB7NGiAxRlLk2pa3znLhQp+SB8E4yrtjFVvom87L+ts2FFq0aDsMzsvinkUqLrTBCcnW6BnnsL6qk1Pkb0w9NZwYK8mv52wqmUydrCOqgCqgCqgCqoAqsMQVyBIi3b/8Q6Sx513pH8XFZ92JtuMmjR66aF2LSbQ4latQiKIURoEl4nL80KGOX1qf5HvEI5NlEfQHWjRJEbsS/5TXCff7YkE3INEhh8BD0wqc1/W1/bcd9f/yemNB/K0tzUIUYY/MnAKSpsgLLRlb7UBLmQ8thGSaui3ONj59qvPd+3xUiH7vwY6vFwefs2jRqTXjhHIbrsiyzYNXNRR6if+T1O2pAqqAKjBnBYiVhijiPaPR4XDOS+mF86sAOI6gWsFTdCBvnnLMQrHcyNGzAa4lXyIXWuZGeDJ0sbInPzv16h3yS3GW/LZtB+t+eqRhPf5Jd2Q0NyKOm5Wl6vTE9QkAI2RydHIEOk2OR07heMSj2DvsHxlLlt7rijUxTsZIzz7toeSBzDLBznR3CEkGbGJi5NFYn8ZO+ob8kijSPXNx+vIUbGM4t2IukFhq6/DU/BsEltIB3t4qN+aP/3Ov5Yq2g4lxIaSDHxpOGBlOXZzC0BcLGznrjoyWadXlPsbJ7ui+qicw0FDdeaXMh/sx1D2o9V/c4mhfFVAFVAFVQBVYygqs1CIvhEIX9wxNk8PWGO5ESxel446Mtt5Ft3HRFIN28haCFqe4YoIIaNoTVZHfdApD//ozDX+51/e7LzYTCg0q/OChDugiVBCa95HDfkbuLe8r6E4AFaURm/zls8G3OcZFznI5eHBbY8yBkMbTCGAUruimiwItqery2nW1NDZpMis6zQZBJ/2Kzp5NELeTK5LbMV4RHum/mj4yZSl/OHVvqoAqoAqoAqrAylMAwIhVj3Bp96OJ1ZDKzu5Bdx/7HJgLNmgHA9FGRgh5tiNZOgC6/uGuVwIvA74IrPbMlLLIknGR2Go2Q77BiWvmvxwgfkRAcyMoZX34YnvEhHWPXyP+2tQ6YU3PUu5DIrKZMzc2aDNVsgINAyGZD7MAWPd957EP6uTuOcZ6gxZlt7xSiVskoo+Yo5NpyNs87jPtUmkBI4NpJ9/kIFQQVJjWpsjKTTVdnA11DbrvwiGDlHeBQMr49euvNlwxM2klBQ3SoeQ0mNF9ofZVAVVAFVAFVAFVYGkqcC0RTGtiZJBTS3PPWXYFRiMUGrceCFGYoSRUnPGaQho9dNGx/JlEi0IXQYsOysMuaBqxyRvqBimh8qZN9Q9c6pNoaF5/WNbHIMyQGtBiQXzvAVM/+u6SEGgRbPhgRZjMijLnF9fVvmd/BzkSk1xxyrV4/yUzZ2NdxO1alIyL3OK2IwEW/NgRP/sxXHGqmcDtqVozJpR7qgxNSXDIF9NQ6CyfFz2lCqgCqoAqoAosCQXIsgiJqukrkoLRnj3hHoSwMcHNBsWXeEPMDY9iVbCwOljoH5xRegbgyeLwMe4LCgOI4YC1e2CEs2daX6zvPS9EEQMkI9IIoCa9pIRX20ukI2Qy7SnPzNRDKXkDPsUTSP5JCcfmjjx1ptulLnKTIyOTCXlGW1Un04KEhMuGMV4iI+HeMpMVCCFnEbhupkj2TGve/PhihkizW+q/gATT1moRf6MbMI6PJW2N7uLRko+xrLglFjU8ljndHQOlRU0s62sK3bwguoIqoAqoAqqAKqAKLLQCgER8jARES/ZFOhwuL7pI2G/D4FVAnPUo2iotuP5Sm+GNDmZMvrabOeJdFLpo0SJ08fGqyD+f7vn4scC/FnRva4lyl3ftbSPz4X7qpDhhy/IKEvzHPAMA/79tLQIYv3TW1HD5wKGOfzoZsJkSf++lZnIzsr4Jl8bo2J3gFl/I73nvgXZKSwMPueRtLzSxH4qwyMqgRTaMN5JTb362idouXJL0K/pihEtboigx3VzYHL2q1VsW+h+Orq8KqAKqgCqgCsyXAtRhIZwWEkUZEWKEbdQznb5hP3hKSJeFdeQ2ZATadqMbIMyZq8CMdb0lg6PJmr+UZWE1Mi7K+uPXxqNTp1if+O7SriNHmtYTOj02McpI60AF8zFVUkFG6sVw2DxQRqkau3MzzalkbWlb7ltlGyxIY2NyFQSvf6RHJGKcTu6rzXkmBW64F37OWVcQiggFjU9t2H0JaJF3EEPjIteepp6Lx8TI4c0XeXE/mrtPjenKiyYTIwHO7rLRfd1RBkvyG6xTkavE0+hxPEo5ac8OyesoFWQ6fbnm83TvSvuqgCqgCqgCqoAqoArkqEBgaLyoZyhtsLMww6mQZ1OxhT5NeKMhkI7LUQ7T0sWnayNSkRmyJw3/4Q/Keimz8m8FXWIyhAGajItO0kVu8TqnrDMWRODhz2pNTRZpb9hQ/4kTgWfrByUBo5R6EQ65tTnKHKAii2CbfMvmJg7JtUhGx2+VhO4sDn3gIJkeTarG33mxeWuzKd1yBL+iqWQ9XbcF0yYj5X0joeE06bVzFFOnqQKqgCqgCqgCqsCtUgDGSC5EyT1IOWlKwwAb6QCmnPIuJyi1bPeGtQ/2RZS0Hcm9Ex+L1veWAAYhiv7BGvFM+p00jNzU5nhkwf6RLtyDpGE8274jr2VzRyQZjk0FFu4uuAyiGBkNStkaBoFsUEfyQ3K51JKeQ3SwxBoTYZ36ULBHzg6O9qaemt8RwsDlvYiMzBLRg8eSB+edypKnUSLcUWZ+NznrasA6fIxwRRodD7ub9fIbnUC+RBvjDBWEIlaVGVsjrSeQZMWsOdCfMMixoMHNIRknXJrx4cRVz31BlxcKGkjkiKfRc0oOGed2g/1Dac/qoCqgCqgCqoAqoAqoAlkUwJ53KTwKarO1WsS76A52FmaIz/Desr6PHw3g7iMhoVMYehozwhhdHNIEF1vv4pqafqmo8tf7O752LnjX+dAfbG+B8kmuxSeu9CejmKUIiwMYyZoIDGTOx48HAIynuoYFDH4+HxqZzMHoBowmy2Ig8VzDIJcAGGGVmBW3NETfuaeNEXd7y+aGu8+HZHsGLUoQdLLOdYx12mJjWr0lywdGT6kCqoAqoAqoAstCAQAaMApeB+vDOyfhwBKSTBJCeQSYnoQMC8ebw3MBM6nSAies6imoCxWLX1GgJayMAtMwQxbHqVjk23Woft2h+rWXuvKC8XbqlWBoZA7Xeu4rOyfKm7M0KVszB48ly3IVKwTj3lyRnjsu6KGEjfM4s96FiHJ2i55ZZpKIkiD3yz0nPVXdETPLVcv0FMVcqBx90aGFAEN8iZgY7bNMTk6KUzHQnjTQ2lMSSZ02yFocj5kAKZ5JblR72W+X0o4qoAqoAqqAKqAKqALZFYChUb0FEGe5otu7aPIuuoKdwYlAxd0tSVfho5UDwuUEM4qbUV6x/wEemUwENDDw9rPdlHH5s11tb3qm/uGKsPEoOhTxeCDx51Po74mqFMDo1HYBPAIGf2VD/Ql/gsLQrMbhH+1otXVeiIx26kQnK7ngWoReMucjhztOOIWhnSIycdIzfuVsNybGO4qD+B4l3eI0WoSUtsWgkRV9IxoKnf0zo2dVAVVAFVAFVIHlrgCGPaF2+Ax5FjmEQM76XNRtIREikctpZxKATNRzVY+xMnYnWqnnwogNQ5Y7Xuw8XNi27XzHvrrQeaKqG/tLyQN5seswuCztmgySsdAXqZYSJznWoHEvRVZJbo0hcJEDit17gPtJzW4KWLvHU/sSzc1kgrhTz7pHMKDyXG6DKGcpHwOJZRH3zBXTx3mY6jnsaO4FBlZcaKOki+d/pF7kFM7GobjXxNjWFOJUT+e0DdK6HzEumqvyG0ZGNPG4R1E9VAVUAVVAFVAFVIE0CgSHx6neAg/0oEU3YHTTRWghOFEKtZAFEYL34UMdBtBN2f+MlRGuKCbANkMXaaC8//7TGqq3bGuOvmZtDTVcLF2Ums47WmK/sM5UcvlmSdA6GM0cp4kjUWKcv1/aSwT0UX/ijRvrmf/tkhC8kSZh0Ta8mk3+1hYTE31fWd9xqQrtT1DARVoy0WJKYWiqtwTi+h9RaT4nOqQKqAKqgCqgCqxIBSBdlFMhVpqnk9yGGB1nfVKJuXZXbPFcghmSOGv8kDgSoYJyFt5FEWcsfLjyME9CFIlW5mzfkK+l3wCxi51HYGXZ3XecZZFZy6N49sMhRk0Wz7Fwc+rl8zLSO+RnD2gyKzYkQyYzeUdmva+QW7cgUkQGuyZolzcC9jg6VR1m1tWW6YSh+AgkEB4YiyTLak+MX3M/C7ZGzlI52vJDOVt50YRa2yDo/t4Yh22NIQBm+flm+p0+rx/SLou4tq8dVUAVUAVUAVVAFVi1CmDPu9I/IxQ6FTAmg6Nd3kWhixLsDKN7tDIMwSNamWhoQXaGPRqiaADj1GsyPvqPdpg4aOyLv7+txdJFeKAARl4/5ODKv9nfbiEh06SZkUDi86d7WOFPdrcyGZz4zZIQhwRWwxhlEabJfPbzrr0+zmKMpG6LaaBFv8mmaPbpKgwt/JPVqN6iodCr9p+DPrgqoAqoAqrAKlfAiVCelIrSudjecM2RSFCwZBbpSDMojNFdpdrOb+6/DNuMTqU9HB6LQf+gakyOXR0IRBs8rjx74Rw6YEl5usWvuezeLbgvPNIJIHUPpu2LFCSrTHvWPSiA0crIKSkiA8XlDRLDp1BN0C5vtPvaFdO/UuYDBrbUddsnovZ0a2MPyRvtSEt9D3M8jBHwCEi0qHAoNiKVX7A7MtnxQ06vYJeiA6jkwnBoOkbbfVb7qoAqoAqoAqqAKrAaFCAU2lZvSYWKdiQ7XQTZHTMt8dbnjUsQ1ueqv2wsiy87gBHGCG8UrHe3wwOZ/J4D7WkB45NOEDTpGVlKOCGhyjTT95vX7c1RcCJte4vJjkgj5poFae/Y0fKfF3rXVff/oLTvs2e63rDBlG753Zea97fGQItswDQpDG0KuJgdEtB9xG+qtwyMrsAsPavhk6zPqAqoAqqAKqAKzK8ClE3JhX1xU0mEmIvXsTfeDmOk8osnMJka0NXBQhyMbi/f6GQCbslknHvcwu3K46bkG8QzSUET6qTc6IP3DQemrIPpedGNLrjQ85sHytmwGxumvSPEUkqBW3ltERmUJNkm7xGUEtEkiSUCSvGdtKst08G+oCknXVrUZF2L0D8Z8TwRBJLx8uIWgqztKTeEZBDYiIORabTqy/6xDPVfOMUEMKaFk3ZB7agCqoAqoAqoAqrAylag/+rErKHQXrroFGrBDSh5FC0qdOhi4rjftC8kcyG2ABstYzQ+xg7QorQkYNzvi73eKdn8oUN+N2AUv6K8Cq4EFTJB6CLpGUm6yI2cw/if7GyFHH7udJehjiaFY/yu4qCUjBHSKK9ET3+lKIhTcdqv6OwH4An5xF1JKDTVW1b2O65PpwqoAqqAKqAKqAILpADACvxFyZhZ14cfAhJhjB50SW5GkjT6B73ljwPRxtKuI0eb1lP8BbsdyRu5V8tARU2oqMi3p7hjH4gMqjbrfT0TQG1sGFekZzzTIdVqAHG30O/XHqlkw7NWtZbEksBY+yBSRIZrKYptB+kgmrxrKDkHAd1LLbU+kcoYEcMhU2Fc/hfqHoT+NddOGxqnzrzKIKcoB+PhinYCHbAhc+CQvFJj2l2o2r0+Z6k7475Q+6qAKqAKqAKqgCqwghUg7Ldh8CoszsJD6YhBMe2rKRjdGuOUK/ViMswZXmfpogDA7S3Rn19TQ35FajRPM0bJ0+gARnEPyoWgRQDg773UPIUHk0VehC4y+C8OrnzHztYkXXTQIsuSRFHady+YsOg3b24y1NFAyPgJvzEi3lveR5npv9zX9tHD/u9e7KWGtUGLxrWYDNkWrshVtf2jWr1lBX/g9dFUgcVXgK9ZktnyTbv4t9Y7qgKqwK1SAG8hCIuWi5mwsa8Ulx2lot27pZQM1BE+5h6UfvPA5cMNT59q3XLOt+esb1eRf8+Ztq3Umz5Yt6as+4SnXHLq5akjhFrLbmeNuYa8Ueea8GTsf1xCdWYCkPsz1LJJvdE8jggMJFNl9jWb+y+xT8sSbREZO+K5vNYpxn1LnsizkwU9pCo09I8a0Kl3wXAoQdCpxaZlcnfHANcSST05MQm0pFNW3OKmkePj10rPNjGHAjGp6+uIKqAKqAKqgCqgCqw8BQJDpnrLrFxRcKJ9NVzRaRgXk5WgnTLQ1HDx0EWBhLxKAehPn+rCZ0jcNCHJBu6ZyGjjYBTKJ9c+XhUBDwIk9/uSQdB2ETpARcGVBEG/0BR1VmNBY4w04dgd5hVv5K84NshHLg9wygnTTp611VsELdqiM7gWGSkPjUAAVt67rE+kCqgCi68AhnC+YEljS/pWvl7s1+zi70TvqAqoArdQAQm5hb9lr8nCDrHMQercyQ8TYwPkBmQ87f4x71V2n85v2360aUO+qTR9oLTzyIXAwbpwidt6R8Q0Bj/SPA6NRbOHqQbijVC4+nBJ2tvZQdClGB2ZTP1rHo0UkfRpWARzSU1pl7r5DtZN7ovIWZaiijdz4LTjE8mY8eBQu7kqdM4tlHsFSc9I3DRvBw9IlWoC0smoCcm8hXZN9w7npS8h0gYSTqYxu0p5aPIrpt5rdHQcyyLw0PohCbv21J5uquliAv7GiYk0i6euqSOqgCqgCqgCqoAqsEwVwJ53KZy+eovbr2goYnvSowhL9DRSFwpdlCSKNjgaWnh7YfCPd7a+6Zn633i24Z27Wr9zIXRPWR/YkEMIoTUxHnFSL5L20AJGYYwSBP2tCyHxKHpeMSW+c08bq336ZJdhlU4zF041zIofPWJskO890GHOOjCTCdIMVJxRzzrOz39CobV6yzL9MOu2VYGloIA1KPInG75SLE5M7SyF3eoeVAFVYNEUALhRp9jAt3A2+Abywg1IcwM6f7SBkitwv9TdMg24R1Q1NsKxCVLlJUBhOA+JWbaTIYod0ZrKnnwoJeiSxSt6zhBbbfMQ2pl04GZUbWaf1Mt2j3v60EUAJtPw+LlzP7IfSYfIrmZFqZ41b/JQ6rxQTjrtOogAHmTDNvacJ5V3xM1yPdfKmiJIY/gVYsab+sskiyOPPzwxHWXsuXDZHUq6RV9zGpMhnyoI4cWzaT5+9VWdnKqvDGR63ujAMBNo1JvONEfHVQFVQBVQBVQBVWBZK8BPYKq3ZPnxa+liKlcUlsir27Vo8i6aQi3TwdFrqiNve6EZuEd7/dN1b3uh6XVPm1oq79rbJp2HK8IzTIwmSBnA6DDGKQNkMmfj9hYnwHk60SIXimXxe68kcSX8ULChQZTSnOrPT1VHiKH+3sWQQy+Ti5usj07pFingkteVqAyPaCj0sv5I6+ZVgVulQCaDYipR9Izcqg3rfVUBVeBWKWAZI5SvY7CGGjHuncC7+oe7nFjjvPZIlT1liF9PPuMgMjtoO1jpwF948NLSQqZFR8NcDhOrCRXCx8jlSK1kwBoL8pq6Ji5HKBw8E8ejvUtqp3mgjGmY+tJOk4DlTHHHqavNywhwFXciu+LuiOZekxhnKYpNiLQdp5gLkzP5QplGPkxhiZBJN0sEnPL2cW1qLR67+LLrjI9PUOUZEkjFFo/BVYKgay97yS3MkPkXChrGRtN/VFgH3yNz4JDLThDdsCqgCqgCqoAqoArMqgCRv1mqt/D7dxotTqVV9IBEWKI0/IoUQJEC0FKiRcgeoI860a9Za9AiBsJdLVHJmohd8M7iEG5GoY7v3d8+w8QogNGJUJZ6K6yztXmQdSRno0BF4YoS7wxUfLkjLjWgH7rUJ3eXYGcXQjSR16Zci21TFat5Cqq3BOJavWXWT41OUAVUgaQCuRsU3TjRfq+6O6qpKqAKrEIFMBb2JNqEg0GoCCUGVfmjtQL9GDGD4fNuakdlZAYzcbBG4nZ7zmTKPQhddIyLpz0FrNkGDkaYW3XonNvryDvS4pRjJuw6y7sjpVIAm+59uueD4DgLl8s0wT15HvsgXOKXkQt22kpYeaIV2FgdLBBhDXh0GTvRmXHqZWfaQNgppY3tc3gsjftOoqd54zJdvuzGSZZYXe6DB14639odGBiKjdBIvcgIzQZBy3MR7yxVXTo7BjI9aU9nhAtLzzaOZygtnelCHVcFVAFVQBVQBVSBpawA9jxqCoDs3L95pW9/8M6gi+3JOGibWfGAy/Inxj8xAfJqbIdOdLPxEPrjLPirG+sAg9RSASGSL1EA4+muBO2FpsFf22QY42vX1u7zUY3FZE1MZmKEMU5FSVtWKTkbP3Uy4EBFJ22jKxqaO9521ARB/82BdkGLsjdenQ0bBJpswkWdXJHsqmnwqoZCL+VPrO5NFVgiCszZoOj+RrVfs+7OEnlA3YYqoAosvgIwvWC8jQSGjl/RQEVpED94oyeyWOojp3UDjkwmsNgRjIzXLvUpKOvMKSaEh7tSzzICcIOeuavJYIO83GPKtaStJmMXETTXMVjr5nX2rHQ4yzqUgHGPj04moHYgVojorBVk3Bfm3sc1B1esCiWhoggLyCX5pHuR6NUwp6CgWR6hNlTEnO7YjOrSdhE8jZxFCjuyAjpSYLq0yNRkcbdgZ8TzdFRsYQL1Xzx2RzuNmi+yjgZHW020owqoAqqAKqAKLHcFCIUu6hnKwhXdP3htxRbJsghddMyKcXid8QTapIVOxzBAyZ1oIppNbRQ4IbkQ//5EAOL3vgMdkjLRAxhhjJsb8CXWMudr54LEPpv0iU5MtAMVjeGQG5mCzsbTGP/+K73M/PVnGkCXBkVOhUJzO4GQT9X0M+G162p3tZgYbbiiGCxtKLd0eCLWLAuNgAuW+3uq+1cFVIEFUkAMihRkwenNd1fqN2fuI96vVieNrSSdkNcFegRddjEVgMwALoRgyCuHNsPbYu5E77VMFYA0gvIw0RGuSybAVL8fob4SpQuaS33GrlizRFunnmKkO9YEP2wfyOhFND7DUCH5G62JEezJJxn7H5eTZRHemIqPBKzJBx7zJJSSEQ8U5XL+dTDH/nPgFgRoe4AqfA/YmHotl9/8/4j+Bm8ib9r1Ce5mex5jp/um0avGOOpkkkwDb5kpOohW7gtXQJ9SL/gVO1p6G6504WCMx0Y8D8WI4Ecsjp5T9pDLmUNqRzuiHVVAFVAFVAFVQBVYpgqA0ajeAlvz/Bx2/+aVvi0Jvc9TD9rJqWjRotA841GcgoFCFA33Ay2a2s0Jqd385mebIH4/q41IredUwAhjvO2ogZC/91JzMkpa1nTMkA5gBDMmGSPAED8kk+8v77O3ZjNJ2un4Kv+loGttdUTQouWKwkh55bd8ftcwoHWZvpW6bVVAFVg4Bfiq5MtBSjynfmF6vj9zPLRfs9nLYy3cQ+nKi6CAqXAxEy0Kb5FXTjFhEbaht1jxCkhxZDhe2ifFYgeyS+s2hA1yFZbIrlhTpvSMrNnSfxmAiRNS1q/tKy7tOlbXW0JxE9gajdDs9sGq2GjYbgDzIZ9zfJXQOSmN/UrnoVOtW5jp/thTbIVptlIMHJJDkhYCHmNXw9BUYrQBjAxylxt1M5KjkghogsdT+afdZ5YO7JH7Ql/dG/bMl1Br+Kdn3B6KDq0zY8nJq4l1s7m/jFowRL7z1sxth/YuS7DDE1VeNJkVfU1pKsLIhilLTW5Gkjpq5egl+A7qllQBVUAVUAVUgRwVwH5DKHQm403qz17gmzUrCpoT+59Jrui4Fl0exfiBtvi/5Pf82a62N26qJ8D57dtbvno2iP9QmpMjkZDn+OvXGx54uGPIAxgJlJYoaV53tUbFxLihbtBdS9pgQxyMJl+i45l0Xv/OoZF/vb/dzRUlQDvVsmi5Ih1Wru4f1eotOX54dJoqsOIV8BgU7Vei7eSIENNOs4tIR+ii5wvW/gWEzopXe2U/YBa6CLigMWFlK6BPtzgKQKgcBJdvTYb2vtRuvtSdB51Li7CwRMIepTEN5MVIqpevK9YIYARjsiyvrwQOHqxfc6nLxA439ZW1DFTU977CLUhj2D5QJTgOpMaWIiM9shO2Ack81rT+dOuL3K41kuR+HVETIk1ANNPkKbgRORLt/ukQ2U3oN9NYYXQ8jUXTPdn22Qa+Ta7iubBfQlDT2jvt/NSOPALMM/WUjAjXZcOpnlJ7CRHu7IHyMXbEVAB3AsydvSXD3rE4uufYycu3I5kVy4pbJidnVNJxP1FDtakuHY0MuQe1rwqoAqqAKqAKqALLRYHAkKnekvZnrwzaH78SnWdBXJIrTuUqpBiKeAiNZdFn/IoSv7ypYeB3pqpC//L6+p9bY2q40P7hROCEP34iED/hN1WeD3bEGPz5NTX0AYzSJAejzcQonbdva2XmJ46Z5IqShtGERRtHolOQxSnF4uRRjFOQmpm/uLZ2e3MUoigtNRTaPhEPWNo7Qjmb5fLe6T5VAVVggRRINSjab8IsnSxfpPZUpsttogk3S5RcE8631vQ32AI9si67CApI7KebIaTth0e0cOoivBsr/BZwRaHZ1InGMegGdOIJzETJnLN5hDwTpCzhwHxK8ezB1nAP2iLLHZEaBklIiI7tAxUH69Yea9qEfdF6GhnHXkjxZVAe4xzKftwT8BPWh0v8g7WNDnPjRjBJcSfKhrkdN6WlfbeAnFyCoTHt2dRBsQ6yPruCNDoQ9STPyJOmEtTUy02eSdBrT55bTM80MKnZUjzjlhJj0F0MmWfsHamnwwiWUb4fhAajG/gUSsk40lnNPfdaXofQbNAi8DDYNZhp57HoMBM6mnszTdBxVUAVUAVUAVVAFViaCmDPIxQaDGh/9qbtyG/hVEdN0q/oULsprmgqtghXNAkPfcag+OClvtc9XUf7UmFwW3MUs+L2lihsEO5H+8ErvXkARgcnHvEnIIHUfQb3ZWKMAhj/76lOriX8+VDHkGRWNAZFdiJoUYCnqcxi0ir+7ovNv/R03YOXwnLozrJouSKdU4FEW2xMq7cszc+q7koVWGgFPAbF1C9DSwVt8LL8wSX52hqzE1KvZcSezdTx0EXHCm6+xOTPIny/udtCq6HrL5wCs9oX4Qk0NTEu3FuwqlbGsIdJD5bFh4qgYHl2aBWuP0aI9k2rBsSPs8NTZ8cnRuFyMsg4oco4DDEfggRhdKAwFuQT+0rHwbrwK2lRWOtAJWY8NiC4EleexDXzSjSxAWgUCHn1VcyEAEMAI3fJVPnas2EuyX0y18o/QO5Cn+ciipnIbsGMqAQydcNPz73kcGScWjMZ+T9eSvbDglkIJM/LHNmDrNk75Id5ptakhmc2hk1ha19kJdSbHhubAB7SssQ+V5W2E0Odyd/Y2hR66r5D99254747tz9xz8utjemxc9o3TgdVAVVAFVAFVAFVYCEU4Hc0ecPOmFhjb5bF1BH5LWzpYtKy6LA7+7PXhEJP+RWdhIrxTfWRd+5pe8eOVrjfbz7b8JbNTdtaojDD6eZPfNyp4Py/tjQRGW39im/f1gI5vKesL6/LKSHtgEe3iVH6d58PJflkaZ8HMErdZ7f/Z31dhKhquKIddHPFlzvil/pGNBR6IT5puqYqsJQVwKicewZFzzeh+zvE9g1pdIFE+3WaShSFJbr5pCzCd5T5Cwh/KHH+VsJ3bBIqTtWlMuZwpy1lYXVv2RWAFeTYsq+jZ1WB3BUA+uGRs+gP0MeHMAvBAwYyITXHIDSPssiSO9GBckQZF7CNvqEAXjt4o72FZ2+j48O4KEktKO4+oBm4kkSIlL2mD710zwc2skOCst2DmfqSERFKmWmCe9yWmPGERQNLfYM1knaSB6GgDEW03Rfm3pf619gyM10Cn0Rb1Bu/Nuqek6kgNS5H8XNmCbh2r7OU+1DkSyWtAEaKv6TdZzQyXFLQMJy4mvYsg2vuPXz/XYYu3nuHaTDGTDN1XBVQBVQBVUAVUAUWWgEi/giF5tdr6g9eRuzPYdux0/ghzO/f5I/fpGUxWalZiqdIDWj8itBCPIo7p9Ik3l0SwpH4aOWA5FS0gJFDsjL+yvp6OOEPyzAxJgOiP5lnrIkfO+K3I7ZjMSMjXzkbFMD453vaBDCSgJEf4zxaKkVMHeFZeKLiniF/Yo7/AbnQ75SurwqoAvOrAH9EgChSkKWox6R4td9yuXTkm9D+nUW+DO0Xi3SEELoZo6xsv0XpyArydSrz5dUuBV2cTjTh0EVwIt+xfL/dW9b3d0f8eL8/mRf4Qv502q75VUlXWwQFcqSLTFuEzegtVqcCxD4T5AsqzPT4kiEQFJZpAliPMGqshlgTIWOwSqyM2bMFtkQq4JawOz7bNaFCrIO4GbkRDRzXP9yTlunhA8QuyL2IF6YDCfQwTNZhQbBepq26x53Q7xMgTfeg7RObzGoOZsyr6y228ct2wqwdJ4DaJHgUf2ba+TBVJsAz055NO4g+XOKWFx2gsqmpNdNevqQGgYfCGK+U+yg0nrq3sdFsSYocurhD6KK8pq6gI6qAKqAKqAKqgCqwoArwy5rqLTBA909d+bXrGeHQ/XNbztqfw05wseF4/NqVn70SDT1VqIVUiibYmcbv93ft9cEA37SpnuyLRB9bTmgn0PnMyS7mvHNXmz37RFU/I69dV7uzJSqDspqdIJ1Pnex8/dN18MnXrK3Z2jzIZvD5mAhoBzBS0pqf7Xbb7h/y9Enb2DR4VUOhF/Qjp4urArdcATEokgUCtzYEz/3NlmPffj2K4ZBvD9bhS8a0qQwMnsQL8m3DfHtt8lsUujhVFct+I01zRWdNXItSpopXsSnyBcv37edPd+EDlz+p2NdbLq9uYM4KUFrCabP7GOd8C71QFZhVAdyJWRxxEsMbvTpLHjyshiC1wdFeCTEmhSAByDC6tNHBgWgjgBEyCY0El1EMGkpGyWlwX2NfKe5HKsLErg7A38j0KLHbQiOZ7G5kfYRMwhvZHjHFkqWwf3h2uyMgVELFswQ4oxvGwurQOZ6Ibcwqo2cCzJatUhPHM24PDYF0Ssx4ArFRLAvPxPnpKNZv1+EWjCCCHVlGnYnxa631PdWXfe49BzsjgwOzV3UhONpNF+m7F9G+KqAKqAKqgCqgCiyoAlRvwa7Dr2n7a9daaOTXLq/J5ppjf31zlcxP/rIW7+JUjN63LoTevc/3ho118EBKtxDyvLvVUEFwIm7D+8r65Lfwew60G/OhM85ZAYzyurUxRsEX2o4pnMgETIlc+LEjgTyn8ou9hI408OYbN9b/0Y4W5jCTX98WMMoPdgCj/MB3Pyy/06negodzQQXXxVUBVeCWKHCjBkX7lWg79nvP/YWZ/A50/mYhXy9OJSnzF42vng3yZfXwpTDfLTSHNBoCybel+VKVL0/ne1W+Y4UrTkNFgyiToJLLTSh0R+zHFX2fyutcV90vf7s54o//zf52vuX4jv3bwx1rrvSvq408cnkAE+MtEVlvOi8KSGCp+zUTb5yX2+kiqsAcFOgb9sOvgH6ZroXCWT5Jjkc+z1jypqKMTfnpxv7SviG/25TINByP8asRwCCLMwevYG2omGmwNWKifYPVFJ7mFBHBADequtCnUS2FQtLYKXllY6R/lDyKcpZXGGMuXr7IaNCZfDILypPnlShmJnsiqTOpYcfZITCQVzvi6SACy8JvZRwZiRmXCGjGiSInbJza2e7gdBJFwlSRyz4j9kgmAypHJ4exNeLehMrCdbM4Tj3bWGqHI8NjREYTOt1S1519b498Z68bMD55z6Hs8/WsKqAKqAKqgCqgCty8AmA0fDv8kpWfzPYXtPt3rnXR2I78KLaTpcMgE1jKid1Lehd/WNr7P7c0CT/Eo/jWzU2vWVvLIX1+Jp/uSmAZAgb+2iYTAf3+gx2MCGB000VjTfQn/ninqQcNJLSnNtRFQI4EVpNoUapL21PS+ewZ43u8ozjIb206/ABPxkf7Zvy0tw+S3zVMprWbV1VXUAVUgaWjwBwMivY7IceO+88r+x0YaOKX+QuLk3X2vQc6+P75nPyBQ4pMGcyYwhidP+JYuuiGikImDVqcSmP728736vMNg8c6TIWsjzvFsN6yuWFXi7Feu9vSeSN0JzeqQH1vCUYvVzM0RpqbNIJQbnRlna8KzKMCAvFSy45wC9AiaRgBXJGRIIdO3ZY8KiPTv/7qZGSkB4DGR5rPc0X3SYgZ04BjDELShsYiTGNyVbDwUP26o82bmvvKgkNtILKqkKntAi0U+yJpFTlkfHgsBlKbuD7jD8QsiAkQ2ChzWHPW/zUPlDMZjDnrTCZIRZv5LeYO2JTaOlg3uQWPAFFkSwyiIaSRaHHxNzKIsZNIdsSUcPX/x96ZuFlVnPn/P/jN8ks0M5lMFmeyTfbMZDOZSWImkz0+JpmsM5mYGLcYf45ZzL48JmMWN1AWEUEDiCjKprIIiA3IJiD2Qu/dl256pZfb3YCaZH6ft77nVFefc/vSIBjoLp7z3KdunTp16rx9q3jqc77v+9LAD5tHoAF/IIXKlIaTGg4Mckx86vs5fQqVu1uU/OVAi1mmzD+yugAVxRgpxCQvZWwVT0ULRAtEC0QLRAs8RwsoewtkL5TieDWOUKFooVQ02up6RY22wNL++Q14ABjdLrilePHGdrbVpHsmGtjtNf3cDnh4V+3A611+lvNXFR5pG3mkfWh929BnVpvC8FXzaxU+UfpDQcKHkDK2DhGt8Ttbu2jDDppX1HbKqRa/5JJEgxnRCK1qsWZ2uOd6v9PzvGFBPaEXOaCR7PfZniMf4kF4BAaswa9qHSLeWsze8hx/VPHyaIHTwQLHK1DMrIF+GdTi4OWFYYFT/qupoFOPZnu94lKuOM/lQbSFJi9sLV64/iBrFy84+Goi6oAxapmlt7CfWyv7vr21c1E9URZdoAkXa8JwpTsQK9LPX06rfOGMKkAiwWxvcS9Q/u8tVTMr+5M1UCuh+zwd/ihxDCdmga5iM0DAHWsQJjltknjjGMx4csnGiQ01XjWVLQDl48cJswJ84djrTVF8uq+y23yc6w7tUOpnJX0OxYo0RoMHnMT32Vj6wTW04SAjjI+g2H+4fVPT4jX1c0XG9NnUtwfBnu61ueW+NfV3kOLZfKh7ttV2b0OqJ4ypBnQlXido6UdYsoBWULcQ3CvZJqxkJLRHcBhWPsdyR7GJPgGG6kfRI3nAUK+IHzcj5L5VLpG3xswnfui6Cm2ng7eGE3GRRsRIPcgXXaigKEYuEwHyOT7CqbicXxE5X1Aw7tnepF/UqbhL7DNaIFogWiBaIFogWmDiFsAVmuwt+T2131bbVtfxN9ssp9HDtM/1McQE6Dyj015bV3GJOfG1FH+4oxttIW7Rs6v74YFGF9uGJFmcV9v/59MroYJzavrXt4+sbx+aW9PPBpwwich+xBgTuug2yG4TPcSe/ayZJnT89Z4eEGK6jy5euMEwJseLZ1V/+uEDwMx/Xtr0V7OqqHn9XfVkhdY2X87RjI0RJoCxYRBX6Ji9ZeI/ntgyWuA0tAACRSLHTiSCon8b4guZldDXJ/wwkBRqfdNnQhQDb2jqFXFR0RGXN4/SRQDgL3ZbFIi/n1eL1FDLESukW4vsZYctR+mqSz+M4ZVOnXj+QwWTLHquCKtErOiI5exqk2Tz9sRevhSGPude0CBi9G9etH7q8zT8k8UhTdwC0BLASIoZE9gIhHGyRsOMUb44cWPGlqfOArAsBWOEZQEVUQBKccdXBHXeRVpaR5Gu/GDopGO4ifiK/OC9azDNmvv2IcADQoL+gGPwTM/ZIIeF/hr0jSuqpzshXxOxDVsGqvA+RtZIohaJ9Ii7qIHlb5qvEc1j/PlTJWvgfnQe5lUp2WzilTwU6I8+JfvkQh7Nvh4xFWjJfzymfNUxvm+AwzhXwX4hvb5SBW6B4JOznmFmGpzOX/GSLpM8+nQeeRxbtEC0QLRAtEC0wKSxAKoeRHrsbTMban3VttpzQja80uGwBb52V/e59zb+cHu3vPOo8fviZK/txDzaINuFrgE0TwESia/IJjeki+gVIYryd2ZHvKF9hINKNstsmS/b1JG4SCNQHOPoZ26AH1vRSpsPLmtxyWLkBmj112zrfPOCeoglZ3UQevFrG9secAoiyX4Yvxu5befhnI2DT8fsLZPm5x0fZOpYgKWMtyRK8Tzeghaucp4ZTrwAP/SiRFY5VozwCGvsFUyKFnkDwgojHsjAEC4CA6GLHIScZV0iOgT9TK/svaqi83/29GhFUs9aS1Wmz+v2HGI144XLtEoLsajDOkyPH2w3OffHV7YSO4LV9Zy5ltjl2t222OaPqfPbmJRPCkip7d6+p2M9mFFHChuNMeJD7UnLpHz8+FBnlgUGjvYg58Mn2nGtdcCrTJIUuR4fUxmIrM63Qe4IbUPTCF3MWAMna5SKVZ0Va+vveKz1XlR/vgHiRkgjXI4GT//hiEIX4l7tG5QpKLMMSBPaGQoyS14CLOVhOU5iVEP6xIYc/o7Mem5RPsyjOKc3OFBXV5FC2vcTFswLu2M93XrFY3g2lqMFogWiBaIFogWiBaIF8haQKzRxDsMdd6bs992mXWxIdThus0wAsU8/bM7L77q3McF0gXMf22H2xbYZT+U31AAYtXHGMxqXPbyPA7qIWNEOiCLaQrp90azqtW0OMLYPXVnRSc1r00TScotmQ8222g6n3rnZZY6m26UNg6P1rgF78AW1/Vdv6eS48clkV54ZM66Fu3ti9pb8zyTWRAucvhYIBYqZtav8V7+yqRCKEoUQVTPm7Fh/Z0/8DCSmBypre/9iax1E0Q6hRVZLlj7WHNFFSaxRUMP9vrK+TbFnYYaschz/trwlFTE6BWMqGndLqIHKj7qXKW9cUK/e9EpFfRIj4kuPHKCTb1R02upaGNK7FVryVS90Qsx4+v5p48gmbAHEUcjAgCSeNJJTo+fwsZPhTvgOsWG0wMm0gE8ykulUiUua+vZm6st87RkqgNZDQaNv3FUsAAPBmO1DDYAyBL1e8qc2bWSj7ti4vW2lnT242rtU+x7yBcR+NPYHfXJrksiM55Ar3SYex/munmMNek7fg5SfRFn0NZkCpxgzSwR+0zolHSaINdMy/KrBlwyeGTaL5WiBaIFogWiBaIFogWgBsrfgCs12tcwePNyABxJEt2VWsK+WIg7O7GTZHS+sG9fX2Pv3ecDIVvcFM6rY9rLdZs/rPKMJt2h0ESb5gftb8J4+2/k7/2h790ZXv7K5SP5T7kWwRHbQDxUSuQ5dhYdSG5C3xVUmfoiUta8XUdQn+3c7nHBxa8dwoTgaFyj+PKIFogVOTwscr0Cx5PoWrmxGEccqEiUX9J8SK9pbEveihEWMUwJ9CgoB7gsPLSlARQ5coZe32CoEXWQFs0XJve9YUNePPPucO2rfstBSU/njFXNrP7aicOljHWR/ZpmiK7vFWIWkROCLGgaJ+cCFvHlRxhboogWe5SgMvXepZY25+ck+03u3DRGPka/cPQLG0/NXHUcVLRAtIAsgq5OYcOTZwbxNgHggr+qebWFu5dpDO1Di9Y4cyLRHu4tmb1/nJoVVxEFY8QbhjW2D+wFupJyu6921subWh+pmA9/oOdNDya+kt6ZxXe8OVJS4GGu0xu46N9BtGLEQBSAu2JzimEhox5K3m2DlQUdQ0TTK4ztzFShyT8cjDINmOgVmVLhL0GimcfgVR3KuwnRhZSxHC0QLRAtEC0QLRAtEC3gLsD0nHBk7zfy+O9x0h2VtwNlQa08tQQ49WLwv55H35oWmNvzqhna+sin+2c7uRfUD2hprM66tunqQkyCXv3p+3VsXNXCjNPTiCLjv82vb/u/0SnDlJY92/Nd6S/H8ziUN5iV9wCIxkkWamvMfan3Y+RVKtUhXHhhSuHCDXYU/Nft6dve2x3e7e8aTORjJ6rahuoGj2MTbJxaiBaIFTisLHJdAMVy4jlnWyuZBohaozKdYotYxsj/rrHk9p1DRVhW9qkg/xRK1KK10dJE1ipwsH17esrh+AIfon+7sftFMiwHLQf7o/3jkwE92dH94uYV3sDCJLvIDAmx60CqaB4zUc/Yal9aKrnhSy3XlYk2AEFnWCNLI6xtg5joHGMn2Quc8SwSMp9Vv+7gGg/NjYaAGpWJ5L8jj6jM2jhY4DS3AjxyoRWDAruExXAtg2OCypRD80MdsBJ3REnqWB2sHB+ugf6EYEs9ikibLL5hbcODm/Hhh2frG3207sLI3Vfw+/ewRkBrsEc9rGgDZEPvpjggvla3GawWJVYgHcf2hnQgg1Sc3xdEbZSC6StVk0ruQXIZhwDNpBvHzvt7P8W8B8+R2KDaJQullivTJUBXukpH7gAk9IwUaV3aOOlnn746DuWxFiu3MWfpHyYlHeWFgP4jymH7imcvj12iBaIFogWiBaIFogUlgAeKSPXZweIJc0bbeip3ouKJ22eb3l8pylE0Aosh++arN5ryMGudzaw787W0W7Ouije1suiF4OAlqS+736R4w3tM0aJKbNLfL5Zs6JFk8d0njnbUDqBZpwB6Zg+3zetJJtw39Zm8PnbOhZnPNfRmD6KKEiOKHJKF+6W01OG4Hzok2bHc4ORA6otbizu7Dh448Own+rPERogUmkwVOWKCYwYl+BfMFNfBfpUtkXUoWt8TBOVkiJE1MvJ7TIIrJMmLLYPq2In27QedUsi6xIunQ6w84ob2FaSm+575G1q7/2dV9e82hF9xiuO/dSxq/u7WLVcuyVhWGvrPVVtG33t3gASP9JKtoTsEowEgDRbL9yIpWuTzTjxAi72jOmVtr726cPvxlc2xZ/s2eQxEwnrmThchpghV8susHX0TeeOb+NePIy1uAZCWQPSNg3RXESOwoNkLkpBXkM1QJgv6INUpcx3yHVZ1b9xxcXzxaIn0JekKiQZILhqsIJrC6fu72tgcJycjXviPt3NqCOh5cz6nKrs0uY/VGfJD7D3eSkJ1RQQ5DgqdbA9kYZ1XPZj9PKTDaUCIIjVRG6bANZRKvPPcUMAyJR5BKE5bIEoFWk2dR3m3uUijWeCuBFqkBM/qafIG/ghtbReYUQw0hLW04sFX4d8lcEr9GC0QLRAtEC0QLRAtMGgvgCk36VChfebSY7Ludq6BtvQN/QK4FLbowYoNseNlEa9cM4uNY1jJIpC92rzrOmlH1kRUt0wL/PgFG/8nOnU7YGtOJACNyx7fdY36C7IJJXoBeEbpoqsWDI6gcqb9wfRve0wBGNsvaKX9vWyeX0wmDEVdkd8/hZEWjWRU8H9Aj8EnPMXvLpPltxwc50y1ADFgJFAnXUD4SbH758jUhWrR1bBx/54Qojl3ZbGUwtDjq46z1hE8tKSpo9QMwUrA1EJbocCJw8psVna9zAWNZqQjsgFbwUw8XUCpK3e0+yeNc/OJaC4p40cY2XqDw0uSyx9phfea/7N6w8DmryvI+k3zquADjHbX9hJylwxue7PMd3l5jYSv+5b5mQk+o/wtWmTzyE6tcFmmndRSQ1OeZ/iuaIuMngQX7elwyibWY2d1H3jhFfgNT6jHRCuJxjN+x+JU+yRbtNXiyBkAPpBZCPNUjaNzdvo6QpDC98nZDiSfaxi2Q/4EToYLO2TmR7dEDU0/e1hWF+2jWOlBZpk9GjigRWWM+FzYAkMuBfgyYZiBBWuJGDSOlHpRaptsJnkLSCXQlQTbu0hiHByGFjWitzzKDxJHb8aR5TBrehU5oBjX1lbRXamnqUXjCJxk/OWIaDu2mBpJ5qj3B/UhiIVogWiBaIFogWiBa4Hm2gLK3sOX02/BMwe/K81tywUDnBujyFCTCxWRPLTa4uH7wM6sPXLixjVCKbF11kPqZfTcBwUT/EvlNKmIU5TPA6PbmjlIOsUN/8WyLJEbCUy70SV4MMLaPvHdpE6fQRhpddJvlLz1iHtBvv7sRgZDoorgi3Xq1pMbPp7RJfOI/uK/3SHSFfp5/hPF20QIZC/C+QymemdGsJJlF6QS+jq5jOa7o1wEtBVoNrNIlYbH1zWkRPUjU2xNWFX+IJWq9ssrm0ZiuDP663T28T2E5IjPLOxY3IiZ886J61bAqfrOiw17BQPOcTvvHOyyt87/c1/jn0ysJ47C6YOEQPRKkwOrHKdrcXQecHHcJZfwsdIyZ8Wgp/tqGdq56zfw63tdokfz+43avL69r84CRYIzUQC+5UOPxgJERZv5G8esZYQEcpcUbFVqN3b0/Qt4YpoE4I54rDjJaIGMB0PrAkS5CMkLksqeePeK41mqceTOnwIZQu/IZTMJLRp4esCTLbauhi979OWzAMJ7qeGxZ1U1ko6ZxeGqCZSSOSB/BoXmPY+YpIkaeRSrKCXY4wWYAUi0Og0d7dInIIRyyTA+gQq5iMQl9z8GVrnJNnuhiNGSTBi3/9/fcMbyqzF3iqWiBaIFogWiBaIFogT+5BZY2Fy/a2EE0Qg4K9zcPZ4aEIgg5UJmt+uiW3Kl92Hfr8PvxdOttbsUuhqGFMVSGAqggBzHEkM2wYyXVKZLCL61t05aWzXUIGLnK0b9EUmhbY9sdjwGMH1xuYRU/sKyJvbCSvHjGiFv0B13QRRqwl1/rtuTz6wbkNz2/dmC0/5Rh+mdJCg2DOzoPtw7F7C2Z30j8Gi3wfFjgpAgUx1vKSq5jo4tY4vJsOC45tP6kcR4UM8HgoYN14nUgu/BQEIawxpieU19Pr+w965YqJIsXPFiYv38QJKhjUf0gKzP1/+dmc4gWReSTsA+sY6xdSBy5tQOMo4xRvPHV82tp8/Nd3SUBo1+lBRiBnzYYixQxBF3kQlLDKJ7tF9fYW5if7WTNTESSDOCcueYl/a/LW0w33jrEpz+ej59CvMcpswA7erb8iIjY4Of1jR3DTdwZlRE0EkJyykYRO44W+BNYADdnfvwEGMzfGwEhKA+VXf5UyRqYGA7FKB67h8f1GiYY4/1VN62pn5tBncysCXoHA9/kl50fA68MeBakhuGpZ//wNAMLa/Ll3pGDhKYcPHoof8rX+Fwz3MWTQx/H0jcLC8ofzZLiKxk5I8Sq48kUoY40IJgDqw1ksqNoi0/8Fy0QLRAtEC0QLRAtcNpaYOCZP0AUz723OXNQySnkeU/2HmHLOd5+3NdrY+5DkGlLnm7D5WXs/I5JkuLypGh/jSMzFxJM7Nd7eqS0edX82l+7oF5sY90G1nbH396ilKaj/sumLQxiiGl3rO08G3MuYcfNhtoAI4EWcYV2h4IuIm78hztt7/xXs6redW/jpx4s4HL49sWN/3h3A1lW8c5mq67xh2iRR2M8DYNPwzdO279mHFi0wOSzwEkXKGZWLQ8VKfhoip682SuMsf7OUif6T3Aii4a5OSv3U4oTE5DYWkR2yNqC/vDsGVXkaP67ebXf2GT56BVHUf7OrIGsMMrg/Nk1BY/pVBC7+491hviIFktIWE/5JG4EP65tZcFESZgARhYrYmNxfOB+e9tCcituBDnkvqEIPHxMnsgDRhZPQlKALhn23Q0DLKT/fF8z/SysH9TK7PofurWq7y+dQvLrG8nGleBQFSbf73DqPNEzTsHFpj6jVDzyzJB4o1LxkueCNpmUGVPHSvFJJ6sFBOX4bXePFDLevrgDU08ExQk+e8/QAeSFMMYy7aF/D9bNfqx5SSauIyQNzg9YK3PtRE7JkTmcy0SeZFTjMUn1WdttMRN6hsblomoGjG0fsiCTcmcOyWF+bDIsLDEcDFEoMSkixnx7X0PsSsasliTp9vWxEC0QLRAtEC0QLRAtcBpaoCRdBDb+46KGj69s8Tvx8oU8XQy35ImehzQoHKlWh93ulRUdZA34yrq2h1qKb1hgxA//O5zs2Lra9rmtyCeREqknSQEbbfatbJChiMkGWYDRwcBEOOS29jfvM8c9NJDWj3OCFmbkkwNWydm51f1kRKXA8ZZF9ezu3SANETzgJEkeLbLrZ9+9q/swlOM0/PPFIUULTDILHK9AMcSDYbnkkhU2yJdFFwkVm7wfCdCiUUTH31h8/MFaZEpFt6wpszNQkct/ububNyYscSiiX5+GUnz1vNrX3lnHuoTvM8vOK+fXQvBcyFmn+iuwNB2k/o0L6ljojCgWRg9zPXY1LFa0+eSqglshbZ1800JbOT+xsiDAuLoVqJg4UAMbAYwXOmfn8+5vMl3iWMDIKseTjj6ve0YeimaMgQGc76Isci0rJzElzp5Rrdwx0ka6IVkmawbAwRp+3ROH5lYP3F0/+Mtd3ZPsZzmlHkex1PCSLv/UCjGHjrF8s3g2WuCMswBYD7wG+MI/N/TbRfgHH+NU3nu65DMqtGnfkc6SZ6mUWnJdwzw8rzO5Uap7tuBYLRY38vQgw0DCR2G8rkrWpwNe48+ik2T8PJd3N6bgy2pGmEfGs/vgI+XliL5PCqS0BlqG5DA8q7ICLYIK/Sm8wjEyHDWj3vQN0gsr9efAIBO0fKaH+DVaIFogWiBaIFogWuD5sQCe0Rnh4tvvaXjzwvrX3Vn3D7+z41tbO0vu08NK7dPZm3sxjPSE2o/bHtxLepT81OVhARjeWtnLtvScO2qUieBfljayO2bLDBj0BxJHvAIR0txRk40h5nWGJjEyFJB4Sd/fWPyLaRZ27EZlKCDKYnr8dm8vOsm33d1A/2yr2Rpfv7dXm250lUYXXSA123Q3WlqHioPDSBafn79FvEu0wNS0wIkJFPN4sGSNVqqSp/zC5bmioTa3jmlJYTXwXDFcx6S+Hv00h2L5OA/xquKGvbasoYhmIcLLmHcoH19ZuKWyz4sSb63sU56pl9xWc1/DgHggK9K591pK6Ms2dYwSQlMhjh60mebenhD2kHXS3pgUhggzy1Uu04rhREHFhE+6hFm/2NVNg1fNq9VCl1EwCjBq6Q514NBRBsyi+pLZ+7n82t3dcNG3LLSVUzpJUszYSx+nw/zRjm76p1l4TM0f8+R4aiRJ7PphI2UeByBAG47yZKBMD/FUtMDpbAH8iDuGGxEf7u3ctKL61juf+PGdT/xkZc2s9Q0L+NmPF2nwj3/8Y2GgBhLIvADuQekdysvGcvQPDp9notEhbtShig95Ibyu7tBOCnW9OyiTuhoQt69jY/fQqKYRPomfMtI+wkKSSBrKx9uBkAoiOaZzWKW/oxLHk9cGNWZz/1MMjwZqQ2PGT0v6gaMiUfZXTaRQ3u2aWJGka+FGod+30tOUz27DrclTo0GeimCSE3m02CZaIFogWiBaIFogWmCCFvDyxXctbnjrovrXO6j4ut/V6eDrvy07togx2aeTJNrpYTxd9FtyFIA3PNkLyptb049ix22BbdfMXvW1LszXv68+QHixJQ34/Y3692kny+c7l9i++/NrcPFLkhTQM33KS1qhHR1gNKmhXPw+vMK8Al8+B41Qn27E2NiDwyrPmlk9s5phoIcssjuWG6OTRDrP6GZ7Cs7W9h+N2Vsm+CuKzaIFJm4BCRQJvKAUz2XQX/gWI1MOrzI8mOapTwrO0znkh9n2Yy8RXgO16XArmL1ugC5mQinyvgMA+O57LfcK+ZTPu7/lZzu7nd7P/J1ZNzhYi3ghApe7aKPlSbmiojOEhFZmHWsZYr3l7LuXCNnZYihf43k1A5S1aoUX2nrYapJFpbz/1e4eAcZvVHTQz7lLGhK66KCiGwnjsePueovTCOfU2sji6Za7JH2VPXvwbsgvoRIxMoAf7zA+iV82nygnpVqkW56XNglZda+Qvru185MrWz+6opUguhc8fAzHuon/YGLL598CipMW4o78GMh2wZafBBb5U7EmWmByWACX3vurps3afvXs7d+avePbt+38zpwd35214+rbd35ne9vKfDZnnrp9qAHtX1VnBYCRSAJWnoA/9cHBRhBi26D5GutfYWA/mr2GQ3vQ7MEV63qfaBvYjxsy3tmKeooOkPrtbQ+KvEEyuZfKfJLoGfDIIX4IMEw7/l9QJA1c/9ae+xJt0l24elc7yWg2MPGdV/XqwaO9/qrnXmAM3AVkGnZV1bOFSp8mJjwVlnlYmvEsUN+wnkzWZKNmvcJKEFo4KuAXkhm2ieVogWiBaIFogWiBaIHn0wL/+kArOZrftKBeekU+QYtwRTsW2MEuONybqxxu9v0uno2qyX5cKlLbmLst56/39rATV+oW9qccBPKaV9Nv8hvnv3zpo7Y7ZmdNXDJ0hs7zzjFGlyNVapwfuB3uS+fUaEuLAsf2yClgNCaQhkz0Ikb21H/tskjDLbmQzkGL3OicubVIiQQqhRbl4SjPaLolewvpbJ7PP0G8V7TA5LYAAkVkwBBFUjwzW0tKCqUh5DOz2oRLTf5C4UThwfwnZ0FnvueQQ+YbJ8uXy9XihIsuBZVbxO6q6zeM1lq8ekvnWTMsN33mYAmdWcmLDMukbBgwTX3y8rm1hEZUjT4FDClTwHtaRNGlmjJyCAOkZ05RDtv7q6jkFN7QNCMeo4TZ6LT5+rK5NYYTW4wo2qsTDwAdA9RiiEd2snimebL4c5gpnJUSC6Q6cFqal7Rbh99zr0Vf5HA5rKl0/ae6dOszzWjDEuqPyf2rntxPB2RgO993pKPMY5L/hTaht2OZxvFUtMCZaIGlVTfN2Pr/Zmz7fzO3/7fHjLN3fnv6litu2/EteFeYcAQvY1yAzYG6fY3yQePUzNcMUitpB7SC4MS+w8mMQ0YI4qN/JH+QwLwy0DyL2x5eUXPLjraHAHeoHIGZhE7FQ5nU2Mj8UEUyixV9kXlK9FTdFyjKVx3gR89In/3jM4PP9NKV5r4aEIIy4zpdcvATqQS3QjLpNgMt8/EhS/YmBJoROpJwR33SLXzVl4GNxySWJe8SK6MFogWiBaIFogWiBZ6LBZDn7eo58paFY9BiQhcdWiSgFgfexJktf/iVLX8CGEfli4mfMttn0KK2pX8/r5a0zhxnz7TtOV8fKoxAGzgAksrtAnhk72wKRhc3THtq2zITdLG1KP0Mvn5s80sARrHNsXhzXu0AEiN1DuF866KGqzZ3cq16oKB9MaASnrCpfaQxZm95Lr+neG20gLNAKFAEiOUJoV80WDo89PPEb1SLmK4tYQ9+8dGF/ip7yzD2EC7zAM23DAvhJRJCE3+Vdw3LXa4WrTOsPPgjw+tga6xdpIX69MMH7qgm1/zwwroBEt9LT/iiWVWIGwUAWceUD4X2P9vV7Za1BBgKG/rPz6w+QJuPrWjV2xa9iGFF4hK10TIYAkbqv+CyOX9uzQHruW2I9ggmeZPCI8hhWapCW+tY5dyCSYoZbnTl5k7RP7fojVEwensmb4jc8shSKcZ4V/2Axnbzk72GLtNVVGEl0EPSYf6IE+IMtQD6H+GF8uHUYoaXM/TvG4c9QQs81Vkx7fErpj/+zVu3XTlj21UzObb/tyONqBm/deu2bz5UN4eZAs5CE4gn9RMHUQDaV5yUdQviJVIzEQXjU52PgRPxWdaFA0d6kCMCJ3sOj3pDh8MGIa5vXEDkRrAk2Vi4+347tjX37x18ejQmKoSQAezv3eavlYyQnsPAkv4sBdimJI5cyMGoTspLBL2PCD21dVMenLt4zhmOxJdhpxpMuCLpQahnIUJNrcY04JEZM/U08D3EQrRAtEC0QLRAtEC0wKmzANt/1ETsUrVt/+CyFmkXM2jxjQvr3rSwnuOjK1pGt/zeDzHd+yd0MfWw85vTRXUDiAbZ0r5zceOMqsRJme3wAy1Fher68vo2kjuvbx9a3zb0vqXmzvzqO+tsT93mHKjhis6RUICRLa1yDbzf5SnQxj/cI48BBQYME8jJbprGqBnZAo/hikrT0Fxc3Ta0p+dwdIU+db+32POkt0BJgWJIBTPlUUjo1pOQ+IVlW3bSdcb3kCw47nUGjTXxWXYsWsKYYzSYKtgNhbN95g534WiG6K8/2k4ek6+sb1O6FsE63oawOhE1EXkhgRNZWzz00xr1QGNRb1JIvyLih+ey0j0D/Xh5AQOkRmpDYUN9UjPNiQ9Jas+FtCGFCvdShmiWJjXzt+MrZT4ZIc0ueLCgBnwilaQGubhHi6x7/mAZ/MzDJnpknJRT/2gDjDK40UWO3EsienBKSMuuhR2IwciqS416tq5c0FqekcP/FTARB3+OSf/Ln6wPiAKK7fmxM7x0V9BMGV7Y1/eOtMEQiOGGFGqyWiY+15SywJLK39y8+bJpWy5HryjMeOs21IwijVcjaFy2fxqgD7gnolXZ/RgKxtA/F9meTaWDx0iW1Hu4DZyISM+bl9CIMMDa3h2+JizAAIGWq+tvX1lzK/0TMRWkyQTEz5pL0C629FcpDCNjo0FIKaUYLBP9AB9kRUoE6zGjuRERILk7ZR5W3tnhYCZYBiEimMxTTfpnhBlZY6bPpn7LVt/Qt8fXa42C6DIqX+kLxHgUt6SZr4yFaIFogWiBaIFogWiBk24BPH8Jeua36iqQw2XULdpJFoUW37yonv0yx/e3d4W7fl/W9l87U4XwYv/OppKtJRtPZSvAlU87Ym2u2UEjWbzxKcuA8JcuINj6dmOM5BulBqkh7niJgtEAI9pFFybRueNNd+lguIphs711e1ttY1Nu4BK/ijloGKaocbtpGvtDNZwiK3ShGOO0nPRfWexwkltgIgLFzCLjiaJ/H+FxliZswAnT6SzXXZdoSVfRZ54uCmqJaNl8Tw9qKLtPY18J/mKBch7QHoVpofCXf2W9JXF+31LLtgxSg6QRooGXGlSif4b+3VnrErI40CfuJ8TH40hiTThErXI/dVEdCMvAikcNh9ZAPrkEnGifVBaGkETS/5yqftr80yLTGV6+qUMNtHjqRkkZF+zWIdAizQQYccrm0Hp76aPtrI2rEm/lRIepEBC/3NPDJYznXfc2fvrhAo8zq6ofs2s91zLOZ7p+YrEkmC2m4GDZhK/yzsi+OnRJt87CzrYpueURdnYfriRh6sgz/E4m+UyYvI93vBleiIHG9t8f0AkixT0PqaXxJ4WB/PGP46bPmLx/ovhkz4cF8Iy+afMlN2299OYtlyFlTNSMW690mBGn6avm7vqeHwcs0ZfDAkFKmRplog3g/gwNAydCCHUhXZG+mav4eYdd+fLgkV5Svayun/Ng3eyDxSZfT4GYhK39Vft7txcG9kPt6AT46ceGMJIanKB9TXityl3DrbQJEzypMUySeiZ7/pIyNWR8Zhhc1dJX2VVsGjh6KExAw4UQQrot40WuMdPGWwOvbWHSknRRgxl6+hCXTEQ7Wmbw8VS0QLRAtEC0QLRAtEBJCyDPI/oZG8/Mrt9//dCyFkVcxCEayaLQIqEX//HuenSDDhtKnWKfQgHalvrNqbalrqXtOu9uMK9n9uNs0rWP1hZ7PZJFp1o8a4btqXE53NA+wsEe/G9uM+kO6RIsP6mhRQsmps2sdrjsal9zZx1tLnm0XbRQACEzJG2Z0zEbYXCQISEPlOGZvOuNm9+SP5VYGS2Qt4AXKCI2BtB53OcXkPEKapn5FMvilYRWEjrM4D6gnzusgV9hfCd2+ajQznEwh8L8G4TRApwtOWWoDa0dq9kr5tb8YlePloUxi4N7B/Fz96bj7++oBS0q9iDLkeSCrDwfWdEq7ieoyKegH5UcVzkHapIss5o90j60sG6QSzhgm3zVAijGaEtiABj/wS1rJJ7mbNLJonrdwqNFFSSYBCe+0okqeRCrNxA69Pk15mr9keUtK/XURv/skR1cTVY/EtNoSHziUk3qFlkYe2JeDGufzrb8RbRsYkyJFX+11/jkeUtb/Msdll/KRJao7D1CcAl+JPlfTqw5Qy0wkQwv2r+zzUdWRG4FpE1ks+Vgyy+iAmY8pWHQwDLSWeWdLs9Qs8dhn24WuHXrlTdsvvhGGOPmS5EyGmbccrnDjFc4p+krb995zTHHLMqHOrEkCednDI0ntUqIwpT3mSwt43VOSuV9HRseP7CMDC9cmKGFELza3l14TBOeEciGGNL3w2ylhtnqa/IF7ksbsmBnTsklmbTamfoyX1ESVnZWME/3HFyHjBPncdgmpugqNvsxYxbRQs9Xww6JLclVjCcEnoWioU4eMGyZL7My0CyKGPOWiTXRAtEC0QLRAtECJ2wBXKHZ7Zbf/nP2jtp+dqZvXFD35oUmWRRafNs9DResKiysHwg345Qz238PASg4dZBpXbRPxzk62YA7AY9ziEavODKnph/PQbarKCcFGIF+2iCfe28zARg5AIz4J2pva5/OKe/iRy0lK/HQAJjcZfq+vl/u7mEv7GmnFDj6ynhsSKnjHj3gCn3oSNwFn/CvKV44JSzA+wikzrySeOzgMBxMZE9UUAzKsz5fyK8w/hSF5No0uoKfnoYWnZ4QVMVBPikyniyoG9CLA7fUJIwxT8A0tT0EEwcjgwnav69taPv6xvbZ1X1+9TDkaDEVBxUX8asb2qS+S8TMqbyZ9gR2YIVBqrfcyQJF+X6+0/TVHFdv7jSWmGoRdVa0EH7IYLgQcHdfw4CL/DDyQvca5fbqfgCjdIyZa623QpJL+he7LVQjBqETlsdfpvCQJRSumBwu5crMyn4Gc/aMKt65OP9lE1t+7/EuKl9/V33yaAlaFGA0Wqjjuj2HaPmL3T0LGwawYcJvc4DRmde9mkmN8/FVrfR/zdau3T1HqqNAcbKvBMryUEZzhQGkO2L/zi4+nwYCX0hO4fWZUSuFlsPNE8fqMg3CxvmyottxF47nQS2ZH0CsmfQWWPzUr26o+PqNdlxsUsbNl960JcGM011sRlLATMQI+E3zKwXcgcvC9jhTC+YTjmA4jSJIg/pDO2nfMTxGmugvBM3t69zEJO093KEUzMA3n8NFzZoO7V5Xf+ejTYvox8cnJHaBmHwYydB3qwIqQS4hriPKw8wpsCSnyNGcqR/vK2QProgys653F7iSmzJPu4cL+7se39exCVduP/dpyR3pnHXDJ4nmbPdIq8+LzcsLfyMBydBi/lRYkBIbQWZYGcvRAtEC0QLRAtEC0QInYAHEJLhCs0nMbPzDXX9YFgG4ZlvnJ1a0nru48d1LGkGLP9rRpf27tuHSBVnZ0QBOSWXEjpgbKYlzopZpKd6yz7KaEmuR3TF7anbf0MVH2kfWFkYuebQD+eKr5tXh7EybuTX9G52XNL6HfGVzfU/9gNHFUcCYOEQzADjDi2eZ0JEeXjanlm04UMJvk8eki01DtLGD3swL18HoCn0Cv6N4yZSwADiRNxHkewKCMZvGrAxjqSCziTmYHKnmzbf3q42vsYUlmIlcbmvFKFfkNQHawiQBsUK28m6Cma51xi0yo4yR3hSKgX5CiR3tUTX/7W01rAzh8cYF9bwf8Spo+OGX1lroQtI6U9aCxqfnkMbrWopaYYi4aGuXW76I4Kpur3/SRIasZiEnFCQ0gWJhSIlUrt6CnIvQsiOowbkQ5inAiHnDC0Um+WScNPvJDsTbpvfGf5mvRGXEnqaidFCRgosXwR+oSJRIGqDG1CIpgfecaqOOL5hR5RZhI7d2uMiTo+XkbYvV6w+R/EFT33P+cGZkBx5pw0sZIPPunsM/29Xz59Ns1T30dPR6nvxrwgQzvJD3ASAA5QgjznnrAA+f6rbcDfmQa7QBNZCXAfJAAw4TQA4R2+34/ptW9gr1EAZn82PIFHAdBe+UVJFlWsav0QKyABzv+oqLrq/4OpjRSRkdZjSPaec0veXyyq5xRYahDUGCiO70g4coFgZqgIf8aFXDJELp59tbCEQ3NcaLdkhkANSAUvQxa+oO7dAsQDnc3LePA2nfIw13ra6bSxYYnK99z3opwIWDRw8RrbF9oKFnqDDy9OitaalXAy0Dlf4qXzg41MCNygNG5JpKeM1Lh72dZKLHCWC/70EF0GVrf82jzYv3HHjk9ynGZE3wmWXgh5Yxp301IRYVSjEUc5IHh2HQeabb/FcRUdaW/KlYEy0QLRAtEC0QLRAtMBEL4PZb03+ULarf6fuC3/L7gqCi/xwNohhs3tnmhxtw7cS1MeeUGCP72WQn6zQzhh9bimxR0UOSspnBaEu+rn3k21u6XuogwNvublzcNPiB+y2xy6ceLiBiZDPOHhzvQmq+trGdjbPCfJFqQdIjUU0+f7y9W8lMETu9fXHjD7d3sVPWjtg/i54RVU9t/9GYvWUiv5zYZupYIBQoMj39gqCCn0Qe5Wlyjfcp2Bh2Qg9JVwFaFM4SWmS5YNGQA2+yvLj5TuRDpv+F6w96+sd85y1GOME1DOtHoQ9YahoGCezAhSRx/vjKAmvO9x/vJsnyS+cYb3z5nFrwYCrzK/7IxUV87e/qWF7SFcYAoxgdzXi18U8u2/LVWxKxolMejii+IgzQQOJYTjgKGNuGzn/IZH4XbmgzwNg+8omV9pUOPWD012J5HSxTLGU0W1TfbzXO35kAiTb4ubXX7uoRV6QZBxmc3+KgJX2SLYthJ2uysycJaN65pBGm6q3tC9jNl1Xwf1D+gv7PxwC2dx3e1zsaQfGjK1pBiwyG4I23VPZPnWkylZ8UNRH7d6BfeSPIDxrmMF4zEch8LgkAhVRJcBWSRyDWEkNAW5VvPF7n1MNAGCfulnzCIsajMb4H4ZHxsmb4ZrEQLRBaYPFT111f8TUw4w0cm79+o3lMJ5jx3srfhi2PWYYiAveUaZofLQfOv/yMQd/htSLn4odhvS83HNoDYAyFeWC9pr49ciWmW37kzKmtLQ881nwPwNBfiDP1xqaFOwoP4bb8VMdjtGH68ImPdvGoZWEGvzPx6SGjtFQPzFxOlQGMmmKIKmGM8qdWdhg/AF/gRusa7lpWdVPYG28lkCzy4ABGXk8g+0SlrMWBJDj+WmHS0O/bn8oUpGDME85Ms/g1WiBaIFogWiBaIFogb4HC8DNITTxOzBT8/pGCAYRUg+T3mH77me79DRJ6tIh8hWwC/7y08bz7W0j4wikRAAoQADCjMcbUI48aXeh260kAxllVfa+eb6obtDfX7uqGKKJa/M2TluqFnftaF5iRjTybemoIL5Y4R1tXCYhwshzdq7iwfvDmfX33NAAfxuhw9JhLm4uoNxFl5a0Ua6IFpqAFMgJFvzhklwWp19JPvyaIRzHXwiMPqWxV0fKiz5Qu0jK90OYv64MdyfIyKNGgACBp5Zn+yAs9N6OZFzHSj2eelNUVSw057rmK5MgMAM2hP/j6WhfbkGzOFtDVAbr5TiYN0GMF46biiny6AZhEELkgrzzo8IKHCygS4YGsS6iviRpBJfQyAxhNkZgKHTn1hbUWCJFoD1wFYPzm5g6+guZmVPa6fkbhJCiPofL5mycO0QY2aIPEFdqUisXF9QNQUOo5iIh73v1NH13ZIj0kNQBVTJ2gRbPk6CLJAm6GSj9pFi7ymfKDBZNZghNbh8aNoEicxvcvbbp6S9fOnjFb4Ck4j6bOI2tXXoZvYAoUWaAGjjJYD7KRxxF4SlIJYOwoNoViQnLgChX2jByYoKkVYM2HfARolL+woY9IdwR4HtVTwTZBLiVZSvmu4tmpY4Ejvx8awxhNymiYcUnlrzl1AnYAvpFPmcQl3nM508n+3m38UMebCOgb8TvGobjk1JNfMzOrqmtLReuSbQdWkNharsT4Pq9v/N2K6ltwTybHNO8Rho/29R/uYJ46zLgJYSRREbg17w4yQ9JXVJecHe+dgqY2A1MqFtSDvEEYGesSHnYL/wQw1vc+EVZmyhoPvFGqyHQYxjnDiZy5yn9lEaMlAS19zXgFpKqL913n3N6voADVHK9lrI8WiBaIFogWiBaY3BZAjIRjIztNDw3yBY8RxBUze0x2oxziiqmsyDwWtXslehghGbXP9Z9/Pbv6wg3tggBs8BPG6FRJrocxgJFNNIpEHJ852OmvbrOULtBFPle3DRGvjG5/urObLTzbc+77glss+cv1e3shDwYiXLcGKNwgPamQd7YGryfi6dit4+kZs7dM7t98fLryFsgIFPMLgmpGlwV4oHvjwDzyE4qIB8mMcxNwQf0gVN+9Skggv+N+Ywi/X1gEtbSq2Gca/S/gik406AR4qPJcsniTDrIOMPd5v4BK+UuPtBEv8eanerlKIka68rdgHTDA2FK8v7HIJUia72smM1SiCWQd0EGkQc4S6JVM0Am7KxSVXmpOdZ+gopSBNgxHFwGM395qrzmQCKZ00QDjBU6a+LGVrXDCLGNMASOw8cvrjJHSWIBxmosUQQ0PRc9Uhi7SDJink7/zF9cecBRUINTIJ8P7/uNdpJvhch0sof9yX/MvnAu5Fl4XbtHkoBzYxP/5MBR/U3jsKPJ1f+INB0YQKKLrhjnHdbL8PJrKZxX/rbyYUBlexgMRsp7SSfSMFLwxATKKtFbSb5qz6LLIeIsLpL9kvALAQdHkGIkUX8i3QmKZv1Bx28LUFdwO/gDtUWOcOp3n6Y78tbFmilvAANRTBqBu3frNe576FV9PkUFQM/Kb5Lft4xNmbtQ93MpZohpm6sOvJFeq7Hxsf/d2HI3pTQEECPO4rOrmjY0L8wFLB4/QfjOyxuouS+8yXuxHSQdLAkb6ZFQIidFShiMpUyYNDYBxW9uK8dq4UJMbGQ/3DdtovheKNWFlvsx01hJB5Mn8WV9jAHmfRKroVEcPKk8MIPueYyFaIFogWiBaIFrgDLIAe0NIGpvo8eiBrxdGsG1mKijyGEG7UWEEbVFxWhRX5BO+R+gw+e59YJkJF2dU9hEe7UPLW0kPzYYXJ0QxRukY5fDIp0VUcxJHzrJnv8ppeP5qVtXs6n4kPTqgizpe5twYUR8lW+/C0IeWmx6JjDNuBz34QMoVNdr8J4+DDmdX9+HoCn0G/YDjUE+iBcYTKPpFIF8ouSz4lUGvG5jLel/w4eUtBDslbYrN9PBw5NCh/lHSmFlVRBdDtOgli06wVwS7wdlYJT6xqvV1d2XfZVxR0cEdHcwcFebZkuUAI0vEvBqLjogftOiix3deWHiPe+9AEChWS92LPFZcQrxZpxWUYjBJoUInHDOrLH4smaQ8YETmJ3H138yu9ulaOKvb0bNCNfL1Pfc2c+1lBF100sdVLck7FBZSwjMSZtZfwo3uqht8z33WHq9n+TtjHC2qfh2mwB9rUf3AnXX9ZLayVdEdKewd5cBYnr8gh+Fi56W+qtUEiiTrKSNQPIm/w9jVpLGAQNxEMrzgBF3mqREHAgcAgL6Ny5b7cBl0iYMkl4ROnf7aTAFlFC05oBAcQoXjib64Flyj9h4aiORAXXzPKMpoU56a+saxEC1wKiwgN2TUtuN1vh8n6/Y1ZX7qXIjbNQhUPtQQv8O/H8LXeEX1dAAjdK5kz3SIMHJtwx0u2kASDZUIjXKd1iWannnASH4ZOVaHjswl7xJW0s/y6pvXNcwLl4iwAQsF8zGMvqizvJ6gnlCWYeN8uaNoQkfkoPlTYU0qTx1Fix4zwhjDlrEcLRAtEC0QLRAtMCktAEwomb0FhuAlSZ4n5DECm9CxIsDUadGFOtSuVuKZGVV9yAvJggpUtB10upumgLxQEcm+sv4gjdnzGlQ0z0fnqee+GqJsLS6oH0AvRDIXPJqV5MUzRgrUnD3DMraYC2FVn4DGb/aa6OisW6qWNAwgXwQmGLJwjn5+B619NJ+bDw4XiscXFn5S/iriQ00dCwDSiYegFM/MMj/ZJ17wC4V/6WBTLKF2iRxOc9mmdkvx86vN7RfMqPXBfyawKxUoGgZE7pgqmV0h9Ia2YIm/3N2NPvCbFR1IE4Fp4n4omc+Zazo9FHosBRRIX4Ka8a76fu7FXTxgTMZpQ7WeOXVXXT/LFMesagtgyOrk5YVW0MJlgsYiDJAGHJBMbvHZ1SgGXf6UwKtalJLb0YCDFUacEEzH6xVVkuuZSn8X7qhu5ShNZhaakQhbF65rG3mFe7SvbTAV919Mr/zQipZ/X33gP9cdJAItNTQ+Z24NDtGGFt3DWtRZO5JFNTFyyhUN1aZc11SLgegUqCiBImF4o0Bx6iwIJ/1JfYYXr+sreQvFV8woi8KWuGoq1pxPMG2ConY0TmvKJHPR3ZFdhV2VLMNDQhiIv6SxiPEzboBZaIB+0vcGloRUhKBGAq3y1NRfHgvRAqfCApBAAHuYMTm8C5lQSJvCz3g8fSONOQVd3NuxMQzt2NT31KamxdtbHwx7y5Q3O59lAKbqccFG01jbnXylUtJBfJ/DC7md0jnlwWPYLF+uP7QbD24UlYiWgYGhEzSNFcKROZuPYCClMaewRr5b1bB80S1tcEUfrw31GMrjxJKFUydVLTOqeCpaIFogWiBaIFrgebAAVAGkkOcJnhXkC6FzHDtlzxCkKUoFMG6fnmgOTb5I8ENc83BaRFXI5vfSRzuEFrWh9tvqW6v6QAF/Nu2pO2oMAhgHMI9FJWSxMjUAxksfsxBk77+/SRt/Y4wulzTppNmz37DXYjASco1PICQin0tJ79JSJNLjFY+1gyNMqiRNjssea8ocd9AbXn7Rxe95+OHFW/zJLQAsAhkpxfNEKKJfCsZrrAYhXXQvHRLfZzeRjd2tarUAiRw/2N7FDH39XfWsDExqfyQT32ExD76Stwy8a7DVwPqhGblRWE+UNZ6udMDibiAps2OAv9nbi24QL2YFZPju1i7oH7ezhQW2poT16esGWxZSwEiDt91j+VB45UEohlnVfQzPL1ZQPi1fon/6vKLCPKAZjwSNUi36T1FKhW647olDPjkLjQU/yVXNc/mVkP49YETkSc+4POuh1ObdTqN4xaYOXrK80Ykn9fh8oti8sqKTldke09kqjKbIEi2W6NdqFXh2vSTCXOjAy0dQ/JP/euMAzjgLJBleDo7q+ko+gjK8jCc94hLCvrG7J/6bv1wh2vZ1bMABkws9ePQNVCAcHBAyQxsybfja0m8ZXkhFrVMOvJigcby4dhKGkaY235WvoTd6CHNn+FNlCoBKr4os0yyeihZ47hY4pr6RW/SOtKEnrDu009+OmAOEQ+RoOrS373DneJEEHm1afD9ZVwaTtE0EN8DPWu7SUL6OYjN5YUhOXXtoNIYAXSliJPPR324ihY7hZsYDzATyK/gqImQUzkD+wkCNxM+8oUAzWbI3vQsgrw15YfINeE+hAK0k1M6fDWvKyBfFG2kQto/laIFogWiBaIFogUlgAVyh89lbPEPwhVGcmEoZVZNHi0IB8rMzXpcmC4AkuHBk+DUX51T3s/99yez97J2dFIcUz+nhgiWyrUZlRBs8ptnRa4NsfeIiHYCFi92Om1hq2rb7jT8F6AHI4jXz68AFr3L5X148q/qqLZ0OKYyGFGP8PpIYO2sCiPUefXYS/FnjI0QLlLTAiQkU/TowXiGEjbSxxcHFTHDCRUOL4C/IGKlGVjYbVLQjSX2CG7KtBi+YUeWgn/kU+7iFgo1uzhoJTOGkvWigkoMYiVIMguyY759bc+Cyig6SLCtnChI+ohRqWZAsUKvKZ1YfAOhxI/oPAaONVkfqIs0t7qgZ+Lt5o4EKGSrdIr3+m9uqSSz1gWVN/7O7R8RPgFFxEckxTb5mzxWlXbRlynlSS1v41Q3tEiLyyQuRv0vDIQInWZeELkUX+YSRchXHdbud5NupJWlDKAmG9LEVrfRMM5ydf7ar++e7u2dW9ScrZwpRLU5Fqv/UY5pGMTksEOWm9pGd3Yfr+o92xgiKJSdPrDwZFkgzvIwyhHyvIDVAHAeF/FnVyJsSAuAbKOmzLtQnmRRoAMFAXuh5oxy0yWThLyxZ8Ble/FlcJulW4eZ8pS/IOxt24WvyBXAKPeQj1OVbhjXSRoboMiLH0D6xfBItgL8wP9GSIUz9XYihisQR72ZfQ9hG8N2+zsf4xA96T8cGEjTzu/UNKIAK1zXcubTqBvik6ut7dzFDcZFmklZ1VQD9th1Yvrx62uNB1EROMR7uWBL0hf37MlO7tb+GkeztJAXMoN36f38PONWMpjcdhFQtMxMZrSAkaVwyimiCJ2gN4bN89EVuTVDNksJFX0kDP/JYiBaIFogWiBaIFjijLQBGO6YrtIGCVNRnIC49Qm2StuRuo+q9oYuLmwY//XDhNXfWaR/9whnV71rSgILIMh0UiIpWvHa3ZVtgH83eP+PaDGlcVD/4n+vaFD6RHubXmX9fghecl7TK7P2nV5pGEeXS7TWJA6N25fe3FBV8jCwGpiNqHVpQZ9tt9SNfaXbWoos8JogV0HpG/0Hj4KMFSlrgeAWKISqknCGK+RcNYQPfPqCLwHxTyhHNQGiOYIDAfw74ns3Ngr1xgNdxloCHnsgxN6/Z2oXCGd3gpY+14+QroqgpnKgfW4ssFFyIB/StlX0hxGNhOX+VJWtGwLw+ydRs7zJ4xUDlOxabvLAkYGRBc1DUhs06w01ZtXi1cc22LkLFvmFBPesS4ROVK4qudHxiVQFHbEN8ZJJqKUqgSD8akh+YAOOtbtXiQuCkTySNs/P7lprWmgHj6Xz2zOqLH20nfARc8Sc7esgIoxtdVUFoR0s34/o0H/Af7rC1lIHRuepFaD1dZPCJNFGPxqdL10LjzR3Dlb1HiAIRA8yWnDux8lRYYEIZXo4eAgKUj1UoH+owW4RyvoAvEEniZQkPFAfwSEG8ETZCaobyj+YzvIR6RYE+VE8lHSd1rzDDCwMoDOz3jHQi1LTkqCQqCxVceeRY8sJYGS1wXBYw3+eODUQNHU+CSG/4NeMaDEUMEX1z31O72x/hx8/U4OcKmtvdvo4DRWLbwH4lfebatfV3LK26XrENET3iHVzVuRmCx9E+2ADVbOrbt67hLs/SeRmx/cBK9IeHn0nSJJV/HO7OJXsPbmCOM9lJYJ1pDypkkCR95u7HJJZgScmYMUjdoR24VNN5Vc8WrScGHp89kuk//zUCxrxNYk20QLRAtEC0wCSzAG6/uEOyFc1gBH31rEACJA8ShRa19eaTr7YHN0dCO3wwNHnh/XhH90tuq2HPS+pV8h28YUEdBb7i78zu2G2Bi99123wIgKQ7CpzIqe9v737b4kZtz9nCf3h562/39npPRtd/EoYRZCHgALqkc/RCP9jezVOQ5oDcMeR8ofLflrew13bbbXPNpr0poNyAGTyPADrAATBurifZj3wqP04oUITF+RlNofyUD1v6xr6y5ILg3z5w1rdUQUuHLQ6BrzEZTJiV0yv7LP2KxUkYksYPSgYf4xSsjKUJQIfOUO8mqNRBfIPPrznAE+k1AZ/M6MUNA5BJWopMGr5zPsvutcXQPQ0DOB3z9oFZv74dieAQ/sjEYqVDtNOsNloZWBZAcOYX7NYEwbdk5AlgdCzU6QPpX3pIPrmcwIn/vrog1+bvbO0UYGQYr3ePQ2YZ7sJXt+glBb4isORxGAYCSC5JOxz5r/UHqSQL1S9397zcRVbUs/NJEhxyuJD8Grs5PGt3lxml/8QOQqYSf2boIk/HcrexfYRkVUrxPJXnSHz2P60FwAjI/DLqpsyQcCJmF+/dkzNn9VX6otCHurZ3B1fhOh22BykQbo7obSFvBFmEbfJlkIgwgseDaiPHbVBD5hJgi9p7X+aTmOGlqd8cq8NYjnnk2DHcCFEJ22RGGL9GC0zQAmRUKdMSpE+EAfS6YRtHFNeEUVWZQYXBWn6TsD4O1IP8aHcUHrq/6obHDyyHxkPq9nVsgjG29lf5eI8kfuKnrhiMrBKr6+Y8WHfb3s6NTNjqrsdpSTaZ8L6+TA8ImJVmGu0iXtiZmetbHm+h73CHZr0mOJ8MHtI4wX6ii/QEDRWbRQtEC0QLRAuciRYgcUPeFTpkDh4RiBuEUFEg0X8q+L+87SwkmnyWHfH7j7UmKGLLj7IIUGBAwCjHgAIh/sW0SoIrrm0rftOFKTvv/iZ2/dDFmZV9wMazZhp/YCv9lkUN39rSyeXam7NlFks05+sW827moCyeiQPjXztw4TfjFNBMfmV9GxcmOGLUSdAwAj3v6DyMsutM/DvGMUcLhBYIBYqawkxqP5fzBT/l86fCmlCpWPJFg9YHfWrF0OW6MHkH4dKFgO80fyXDQ0OIahEZM7ObA8LGgoCHL9P2i2vbHmwZUiDBv59XiwcxGVvAdG9akOj3vrWlw6sfwWvX7baETW+/pyHtx2Adimjcjd3CMoRTNg3QAbpXGKZghMLxpoNK937BYJ0AIyA0AYzCjOZKbOCRswYznbOz3SUFmNwogY0OGNLhmxbUG2B0x385XeUbF9Q7iWYCGIUZYaG8OrngwQJBHf98eiWcUNJHevvZTnuc195ZRz8kaP7pzp7Pr2n71MOF/1rfdnvNgD24E3+KssoO+tQbHMLV8tVWPPdQSCLRqFf1RYFiOF1i+cywwLEzvPzx9+SiZbPvHZ95MMVqywDGzAOLNx4zF22S4aVzNMCj+lESCggG6qawZ0kKASm+Eo7K8JA5+ZowwwsaKk4RyA5YUde7A1VVeR4CtwwFY3LHDnFivsbfNxaiBU6iBaq6tjD1+AGHfbogh6WTKz