Revision: 3689
http://matplotlib.svn.sourceforge.net/matplotlib/?rev=3689&view=rev
Author: nnemec
Date: 2007年08月09日 02:02:13 -0700 (2007年8月09日)
Log Message:
-----------
updated pytz and dateutil to latest upstream versions
Modified Paths:
--------------
trunk/matplotlib/lib/dateutil/__init__.py
trunk/matplotlib/lib/dateutil/easter.py
trunk/matplotlib/lib/dateutil/parser.py
trunk/matplotlib/lib/dateutil/relativedelta.py
trunk/matplotlib/lib/dateutil/rrule.py
trunk/matplotlib/lib/dateutil/tz.py
trunk/matplotlib/lib/pytz/__init__.py
trunk/matplotlib/lib/pytz/reference.py
trunk/matplotlib/lib/pytz/tzinfo.py
trunk/matplotlib/lib/pytz/zoneinfo/Africa/Abidjan.py
trunk/matplotlib/lib/pytz/zoneinfo/Africa/Accra.py
trunk/matplotlib/lib/pytz/zoneinfo/Africa/Addis_Ababa.py
trunk/matplotlib/lib/pytz/zoneinfo/Africa/Algiers.py
trunk/matplotlib/lib/pytz/zoneinfo/Africa/Asmera.py
trunk/matplotlib/lib/pytz/zoneinfo/Africa/Bamako.py
trunk/matplotlib/lib/pytz/zoneinfo/Africa/Bangui.py
trunk/matplotlib/lib/pytz/zoneinfo/Africa/Banjul.py
trunk/matplotlib/lib/pytz/zoneinfo/Africa/Bissau.py
trunk/matplotlib/lib/pytz/zoneinfo/Africa/Blantyre.py
trunk/matplotlib/lib/pytz/zoneinfo/Africa/Brazzaville.py
trunk/matplotlib/lib/pytz/zoneinfo/Africa/Bujumbura.py
trunk/matplotlib/lib/pytz/zoneinfo/Africa/Cairo.py
trunk/matplotlib/lib/pytz/zoneinfo/Africa/Casablanca.py
trunk/matplotlib/lib/pytz/zoneinfo/Africa/Ceuta.py
trunk/matplotlib/lib/pytz/zoneinfo/Africa/Conakry.py
trunk/matplotlib/lib/pytz/zoneinfo/Africa/Dakar.py
trunk/matplotlib/lib/pytz/zoneinfo/Africa/Dar_es_Salaam.py
trunk/matplotlib/lib/pytz/zoneinfo/Africa/Djibouti.py
trunk/matplotlib/lib/pytz/zoneinfo/Africa/Douala.py
trunk/matplotlib/lib/pytz/zoneinfo/Africa/El_Aaiun.py
trunk/matplotlib/lib/pytz/zoneinfo/Africa/Freetown.py
trunk/matplotlib/lib/pytz/zoneinfo/Africa/Gaborone.py
trunk/matplotlib/lib/pytz/zoneinfo/Africa/Harare.py
trunk/matplotlib/lib/pytz/zoneinfo/Africa/Johannesburg.py
trunk/matplotlib/lib/pytz/zoneinfo/Africa/Kampala.py
trunk/matplotlib/lib/pytz/zoneinfo/Africa/Khartoum.py
trunk/matplotlib/lib/pytz/zoneinfo/Africa/Kigali.py
trunk/matplotlib/lib/pytz/zoneinfo/Africa/Kinshasa.py
trunk/matplotlib/lib/pytz/zoneinfo/Africa/Lagos.py
trunk/matplotlib/lib/pytz/zoneinfo/Africa/Libreville.py
trunk/matplotlib/lib/pytz/zoneinfo/Africa/Lome.py
trunk/matplotlib/lib/pytz/zoneinfo/Africa/Luanda.py
trunk/matplotlib/lib/pytz/zoneinfo/Africa/Lubumbashi.py
trunk/matplotlib/lib/pytz/zoneinfo/Africa/Lusaka.py
trunk/matplotlib/lib/pytz/zoneinfo/Africa/Malabo.py
trunk/matplotlib/lib/pytz/zoneinfo/Africa/Maputo.py
trunk/matplotlib/lib/pytz/zoneinfo/Africa/Maseru.py
trunk/matplotlib/lib/pytz/zoneinfo/Africa/Mbabane.py
trunk/matplotlib/lib/pytz/zoneinfo/Africa/Mogadishu.py
trunk/matplotlib/lib/pytz/zoneinfo/Africa/Monrovia.py
trunk/matplotlib/lib/pytz/zoneinfo/Africa/Nairobi.py
trunk/matplotlib/lib/pytz/zoneinfo/Africa/Ndjamena.py
trunk/matplotlib/lib/pytz/zoneinfo/Africa/Niamey.py
trunk/matplotlib/lib/pytz/zoneinfo/Africa/Nouakchott.py
trunk/matplotlib/lib/pytz/zoneinfo/Africa/Ouagadougou.py
trunk/matplotlib/lib/pytz/zoneinfo/Africa/Porto_minus_Novo.py
trunk/matplotlib/lib/pytz/zoneinfo/Africa/Sao_Tome.py
trunk/matplotlib/lib/pytz/zoneinfo/Africa/Timbuktu.py
trunk/matplotlib/lib/pytz/zoneinfo/Africa/Tripoli.py
trunk/matplotlib/lib/pytz/zoneinfo/Africa/Tunis.py
trunk/matplotlib/lib/pytz/zoneinfo/Africa/Windhoek.py
trunk/matplotlib/lib/pytz/zoneinfo/America/Adak.py
trunk/matplotlib/lib/pytz/zoneinfo/America/Anchorage.py
trunk/matplotlib/lib/pytz/zoneinfo/America/Anguilla.py
trunk/matplotlib/lib/pytz/zoneinfo/America/Antigua.py
trunk/matplotlib/lib/pytz/zoneinfo/America/Araguaina.py
trunk/matplotlib/lib/pytz/zoneinfo/America/Argentina/Buenos_Aires.py
trunk/matplotlib/lib/pytz/zoneinfo/America/Argentina/Catamarca.py
trunk/matplotlib/lib/pytz/zoneinfo/America/Argentina/ComodRivadavia.py
trunk/matplotlib/lib/pytz/zoneinfo/America/Argentina/Cordoba.py
trunk/matplotlib/lib/pytz/zoneinfo/America/Argentina/Jujuy.py
trunk/matplotlib/lib/pytz/zoneinfo/America/Argentina/La_Rioja.py
trunk/matplotlib/lib/pytz/zoneinfo/America/Argentina/Mendoza.py
trunk/matplotlib/lib/pytz/zoneinfo/America/Argentina/Rio_Gallegos.py
trunk/matplotlib/lib/pytz/zoneinfo/America/Argentina/San_Juan.py
trunk/matplotlib/lib/pytz/zoneinfo/America/Argentina/Tucuman.py
trunk/matplotlib/lib/pytz/zoneinfo/America/Argentina/Ushuaia.py
trunk/matplotlib/lib/pytz/zoneinfo/America/Aruba.py
trunk/matplotlib/lib/pytz/zoneinfo/America/Asuncion.py
trunk/matplotlib/lib/pytz/zoneinfo/America/Atka.py
trunk/matplotlib/lib/pytz/zoneinfo/America/Bahia.py
trunk/matplotlib/lib/pytz/zoneinfo/America/Barbados.py
trunk/matplotlib/lib/pytz/zoneinfo/America/Belem.py
trunk/matplotlib/lib/pytz/zoneinfo/America/Belize.py
trunk/matplotlib/lib/pytz/zoneinfo/America/Boa_Vista.py
trunk/matplotlib/lib/pytz/zoneinfo/America/Bogota.py
trunk/matplotlib/lib/pytz/zoneinfo/America/Boise.py
trunk/matplotlib/lib/pytz/zoneinfo/America/Buenos_Aires.py
trunk/matplotlib/lib/pytz/zoneinfo/America/Cambridge_Bay.py
trunk/matplotlib/lib/pytz/zoneinfo/America/Campo_Grande.py
trunk/matplotlib/lib/pytz/zoneinfo/America/Cancun.py
trunk/matplotlib/lib/pytz/zoneinfo/America/Caracas.py
trunk/matplotlib/lib/pytz/zoneinfo/America/Catamarca.py
trunk/matplotlib/lib/pytz/zoneinfo/America/Cayenne.py
trunk/matplotlib/lib/pytz/zoneinfo/America/Cayman.py
trunk/matplotlib/lib/pytz/zoneinfo/America/Chicago.py
trunk/matplotlib/lib/pytz/zoneinfo/America/Chihuahua.py
trunk/matplotlib/lib/pytz/zoneinfo/America/Cordoba.py
trunk/matplotlib/lib/pytz/zoneinfo/America/Costa_Rica.py
trunk/matplotlib/lib/pytz/zoneinfo/America/Cuiaba.py
trunk/matplotlib/lib/pytz/zoneinfo/America/Curacao.py
trunk/matplotlib/lib/pytz/zoneinfo/America/Danmarkshavn.py
trunk/matplotlib/lib/pytz/zoneinfo/America/Dawson.py
trunk/matplotlib/lib/pytz/zoneinfo/America/Dawson_Creek.py
trunk/matplotlib/lib/pytz/zoneinfo/America/Denver.py
trunk/matplotlib/lib/pytz/zoneinfo/America/Detroit.py
trunk/matplotlib/lib/pytz/zoneinfo/America/Dominica.py
trunk/matplotlib/lib/pytz/zoneinfo/America/Edmonton.py
trunk/matplotlib/lib/pytz/zoneinfo/America/Eirunepe.py
trunk/matplotlib/lib/pytz/zoneinfo/America/El_Salvador.py
trunk/matplotlib/lib/pytz/zoneinfo/America/Ensenada.py
trunk/matplotlib/lib/pytz/zoneinfo/America/Fort_Wayne.py
trunk/matplotlib/lib/pytz/zoneinfo/America/Fortaleza.py
trunk/matplotlib/lib/pytz/zoneinfo/America/Glace_Bay.py
trunk/matplotlib/lib/pytz/zoneinfo/America/Godthab.py
trunk/matplotlib/lib/pytz/zoneinfo/America/Goose_Bay.py
trunk/matplotlib/lib/pytz/zoneinfo/America/Grand_Turk.py
trunk/matplotlib/lib/pytz/zoneinfo/America/Grenada.py
trunk/matplotlib/lib/pytz/zoneinfo/America/Guadeloupe.py
trunk/matplotlib/lib/pytz/zoneinfo/America/Guatemala.py
trunk/matplotlib/lib/pytz/zoneinfo/America/Guayaquil.py
trunk/matplotlib/lib/pytz/zoneinfo/America/Guyana.py
trunk/matplotlib/lib/pytz/zoneinfo/America/Halifax.py
trunk/matplotlib/lib/pytz/zoneinfo/America/Havana.py
trunk/matplotlib/lib/pytz/zoneinfo/America/Hermosillo.py
trunk/matplotlib/lib/pytz/zoneinfo/America/Indiana/Indianapolis.py
trunk/matplotlib/lib/pytz/zoneinfo/America/Indiana/Knox.py
trunk/matplotlib/lib/pytz/zoneinfo/America/Indiana/Marengo.py
trunk/matplotlib/lib/pytz/zoneinfo/America/Indiana/Vevay.py
trunk/matplotlib/lib/pytz/zoneinfo/America/Indianapolis.py
trunk/matplotlib/lib/pytz/zoneinfo/America/Inuvik.py
trunk/matplotlib/lib/pytz/zoneinfo/America/Iqaluit.py
trunk/matplotlib/lib/pytz/zoneinfo/America/Jamaica.py
trunk/matplotlib/lib/pytz/zoneinfo/America/Jujuy.py
trunk/matplotlib/lib/pytz/zoneinfo/America/Juneau.py
trunk/matplotlib/lib/pytz/zoneinfo/America/Kentucky/Louisville.py
trunk/matplotlib/lib/pytz/zoneinfo/America/Kentucky/Monticello.py
trunk/matplotlib/lib/pytz/zoneinfo/America/Knox_IN.py
trunk/matplotlib/lib/pytz/zoneinfo/America/La_Paz.py
trunk/matplotlib/lib/pytz/zoneinfo/America/Lima.py
trunk/matplotlib/lib/pytz/zoneinfo/America/Los_Angeles.py
trunk/matplotlib/lib/pytz/zoneinfo/America/Louisville.py
trunk/matplotlib/lib/pytz/zoneinfo/America/Maceio.py
trunk/matplotlib/lib/pytz/zoneinfo/America/Managua.py
trunk/matplotlib/lib/pytz/zoneinfo/America/Manaus.py
trunk/matplotlib/lib/pytz/zoneinfo/America/Martinique.py
trunk/matplotlib/lib/pytz/zoneinfo/America/Mazatlan.py
trunk/matplotlib/lib/pytz/zoneinfo/America/Mendoza.py
trunk/matplotlib/lib/pytz/zoneinfo/America/Menominee.py
trunk/matplotlib/lib/pytz/zoneinfo/America/Merida.py
trunk/matplotlib/lib/pytz/zoneinfo/America/Mexico_City.py
trunk/matplotlib/lib/pytz/zoneinfo/America/Miquelon.py
trunk/matplotlib/lib/pytz/zoneinfo/America/Monterrey.py
trunk/matplotlib/lib/pytz/zoneinfo/America/Montevideo.py
trunk/matplotlib/lib/pytz/zoneinfo/America/Montreal.py
trunk/matplotlib/lib/pytz/zoneinfo/America/Montserrat.py
trunk/matplotlib/lib/pytz/zoneinfo/America/Nassau.py
trunk/matplotlib/lib/pytz/zoneinfo/America/New_York.py
trunk/matplotlib/lib/pytz/zoneinfo/America/Nipigon.py
trunk/matplotlib/lib/pytz/zoneinfo/America/Nome.py
trunk/matplotlib/lib/pytz/zoneinfo/America/Noronha.py
trunk/matplotlib/lib/pytz/zoneinfo/America/North_Dakota/Center.py
trunk/matplotlib/lib/pytz/zoneinfo/America/Panama.py
trunk/matplotlib/lib/pytz/zoneinfo/America/Pangnirtung.py
trunk/matplotlib/lib/pytz/zoneinfo/America/Paramaribo.py
trunk/matplotlib/lib/pytz/zoneinfo/America/Phoenix.py
trunk/matplotlib/lib/pytz/zoneinfo/America/Port_minus_au_minus_Prince.py
trunk/matplotlib/lib/pytz/zoneinfo/America/Port_of_Spain.py
trunk/matplotlib/lib/pytz/zoneinfo/America/Porto_Acre.py
trunk/matplotlib/lib/pytz/zoneinfo/America/Porto_Velho.py
trunk/matplotlib/lib/pytz/zoneinfo/America/Puerto_Rico.py
trunk/matplotlib/lib/pytz/zoneinfo/America/Rainy_River.py
trunk/matplotlib/lib/pytz/zoneinfo/America/Rankin_Inlet.py
trunk/matplotlib/lib/pytz/zoneinfo/America/Recife.py
trunk/matplotlib/lib/pytz/zoneinfo/America/Regina.py
trunk/matplotlib/lib/pytz/zoneinfo/America/Rio_Branco.py
trunk/matplotlib/lib/pytz/zoneinfo/America/Rosario.py
trunk/matplotlib/lib/pytz/zoneinfo/America/Santiago.py
trunk/matplotlib/lib/pytz/zoneinfo/America/Santo_Domingo.py
trunk/matplotlib/lib/pytz/zoneinfo/America/Sao_Paulo.py
trunk/matplotlib/lib/pytz/zoneinfo/America/Scoresbysund.py
trunk/matplotlib/lib/pytz/zoneinfo/America/Shiprock.py
trunk/matplotlib/lib/pytz/zoneinfo/America/St_Johns.py
trunk/matplotlib/lib/pytz/zoneinfo/America/St_Kitts.py
trunk/matplotlib/lib/pytz/zoneinfo/America/St_Lucia.py
trunk/matplotlib/lib/pytz/zoneinfo/America/St_Thomas.py
trunk/matplotlib/lib/pytz/zoneinfo/America/St_Vincent.py
trunk/matplotlib/lib/pytz/zoneinfo/America/Swift_Current.py
trunk/matplotlib/lib/pytz/zoneinfo/America/Tegucigalpa.py
trunk/matplotlib/lib/pytz/zoneinfo/America/Thule.py
trunk/matplotlib/lib/pytz/zoneinfo/America/Thunder_Bay.py
trunk/matplotlib/lib/pytz/zoneinfo/America/Tijuana.py
trunk/matplotlib/lib/pytz/zoneinfo/America/Toronto.py
trunk/matplotlib/lib/pytz/zoneinfo/America/Tortola.py
trunk/matplotlib/lib/pytz/zoneinfo/America/Vancouver.py
trunk/matplotlib/lib/pytz/zoneinfo/America/Virgin.py
trunk/matplotlib/lib/pytz/zoneinfo/America/Whitehorse.py
trunk/matplotlib/lib/pytz/zoneinfo/America/Winnipeg.py
trunk/matplotlib/lib/pytz/zoneinfo/America/Yakutat.py
trunk/matplotlib/lib/pytz/zoneinfo/America/Yellowknife.py
trunk/matplotlib/lib/pytz/zoneinfo/Antarctica/Casey.py
trunk/matplotlib/lib/pytz/zoneinfo/Antarctica/Davis.py
trunk/matplotlib/lib/pytz/zoneinfo/Antarctica/DumontDUrville.py
trunk/matplotlib/lib/pytz/zoneinfo/Antarctica/Mawson.py
trunk/matplotlib/lib/pytz/zoneinfo/Antarctica/McMurdo.py
trunk/matplotlib/lib/pytz/zoneinfo/Antarctica/Palmer.py
trunk/matplotlib/lib/pytz/zoneinfo/Antarctica/Rothera.py
trunk/matplotlib/lib/pytz/zoneinfo/Antarctica/South_Pole.py
trunk/matplotlib/lib/pytz/zoneinfo/Antarctica/Syowa.py
trunk/matplotlib/lib/pytz/zoneinfo/Antarctica/Vostok.py
trunk/matplotlib/lib/pytz/zoneinfo/Arctic/Longyearbyen.py
trunk/matplotlib/lib/pytz/zoneinfo/Asia/Aden.py
trunk/matplotlib/lib/pytz/zoneinfo/Asia/Almaty.py
trunk/matplotlib/lib/pytz/zoneinfo/Asia/Amman.py
trunk/matplotlib/lib/pytz/zoneinfo/Asia/Anadyr.py
trunk/matplotlib/lib/pytz/zoneinfo/Asia/Aqtau.py
trunk/matplotlib/lib/pytz/zoneinfo/Asia/Aqtobe.py
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trunk/matplotlib/lib/pytz/zoneinfo/Asia/Ashkhabad.py
trunk/matplotlib/lib/pytz/zoneinfo/Asia/Baghdad.py
trunk/matplotlib/lib/pytz/zoneinfo/Asia/Bahrain.py
trunk/matplotlib/lib/pytz/zoneinfo/Asia/Baku.py
trunk/matplotlib/lib/pytz/zoneinfo/Asia/Bangkok.py
trunk/matplotlib/lib/pytz/zoneinfo/Asia/Beirut.py
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trunk/matplotlib/lib/pytz/zoneinfo/Asia/Brunei.py
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trunk/matplotlib/lib/pytz/zoneinfo/Asia/Chongqing.py
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trunk/matplotlib/lib/pytz/zoneinfo/Asia/Colombo.py
trunk/matplotlib/lib/pytz/zoneinfo/Asia/Dacca.py
trunk/matplotlib/lib/pytz/zoneinfo/Asia/Damascus.py
trunk/matplotlib/lib/pytz/zoneinfo/Asia/Dhaka.py
trunk/matplotlib/lib/pytz/zoneinfo/Asia/Dili.py
trunk/matplotlib/lib/pytz/zoneinfo/Asia/Dubai.py
trunk/matplotlib/lib/pytz/zoneinfo/Asia/Dushanbe.py
trunk/matplotlib/lib/pytz/zoneinfo/Asia/Gaza.py
trunk/matplotlib/lib/pytz/zoneinfo/Asia/Harbin.py
trunk/matplotlib/lib/pytz/zoneinfo/Asia/Hong_Kong.py
trunk/matplotlib/lib/pytz/zoneinfo/Asia/Hovd.py
trunk/matplotlib/lib/pytz/zoneinfo/Asia/Irkutsk.py
trunk/matplotlib/lib/pytz/zoneinfo/Asia/Istanbul.py
trunk/matplotlib/lib/pytz/zoneinfo/Asia/Jakarta.py
trunk/matplotlib/lib/pytz/zoneinfo/Asia/Jayapura.py
trunk/matplotlib/lib/pytz/zoneinfo/Asia/Jerusalem.py
trunk/matplotlib/lib/pytz/zoneinfo/Asia/Kabul.py
trunk/matplotlib/lib/pytz/zoneinfo/Asia/Kamchatka.py
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trunk/matplotlib/lib/pytz/zoneinfo/Asia/Pontianak.py
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trunk/matplotlib/lib/pytz/zoneinfo/Asia/Thimphu.py
trunk/matplotlib/lib/pytz/zoneinfo/Asia/Tokyo.py
trunk/matplotlib/lib/pytz/zoneinfo/Asia/Ujung_Pandang.py
trunk/matplotlib/lib/pytz/zoneinfo/Asia/Ulaanbaatar.py
trunk/matplotlib/lib/pytz/zoneinfo/Asia/Ulan_Bator.py
trunk/matplotlib/lib/pytz/zoneinfo/Asia/Urumqi.py
trunk/matplotlib/lib/pytz/zoneinfo/Asia/Vientiane.py
trunk/matplotlib/lib/pytz/zoneinfo/Asia/Vladivostok.py
trunk/matplotlib/lib/pytz/zoneinfo/Asia/Yakutsk.py
trunk/matplotlib/lib/pytz/zoneinfo/Asia/Yekaterinburg.py
trunk/matplotlib/lib/pytz/zoneinfo/Asia/Yerevan.py
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trunk/matplotlib/lib/pytz/zoneinfo/Atlantic/Bermuda.py
trunk/matplotlib/lib/pytz/zoneinfo/Atlantic/Canary.py
trunk/matplotlib/lib/pytz/zoneinfo/Atlantic/Cape_Verde.py
trunk/matplotlib/lib/pytz/zoneinfo/Atlantic/Faeroe.py
trunk/matplotlib/lib/pytz/zoneinfo/Atlantic/Jan_Mayen.py
trunk/matplotlib/lib/pytz/zoneinfo/Atlantic/Madeira.py
trunk/matplotlib/lib/pytz/zoneinfo/Atlantic/Reykjavik.py
trunk/matplotlib/lib/pytz/zoneinfo/Atlantic/South_Georgia.py
trunk/matplotlib/lib/pytz/zoneinfo/Atlantic/St_Helena.py
trunk/matplotlib/lib/pytz/zoneinfo/Atlantic/Stanley.py
trunk/matplotlib/lib/pytz/zoneinfo/Australia/ACT.py
trunk/matplotlib/lib/pytz/zoneinfo/Australia/Adelaide.py
trunk/matplotlib/lib/pytz/zoneinfo/Australia/Brisbane.py
trunk/matplotlib/lib/pytz/zoneinfo/Australia/Broken_Hill.py
trunk/matplotlib/lib/pytz/zoneinfo/Australia/Canberra.py
trunk/matplotlib/lib/pytz/zoneinfo/Australia/Darwin.py
trunk/matplotlib/lib/pytz/zoneinfo/Australia/Hobart.py
trunk/matplotlib/lib/pytz/zoneinfo/Australia/LHI.py
trunk/matplotlib/lib/pytz/zoneinfo/Australia/Lindeman.py
trunk/matplotlib/lib/pytz/zoneinfo/Australia/Lord_Howe.py
trunk/matplotlib/lib/pytz/zoneinfo/Australia/Melbourne.py
trunk/matplotlib/lib/pytz/zoneinfo/Australia/NSW.py
trunk/matplotlib/lib/pytz/zoneinfo/Australia/North.py
trunk/matplotlib/lib/pytz/zoneinfo/Australia/Perth.py
trunk/matplotlib/lib/pytz/zoneinfo/Australia/Queensland.py
trunk/matplotlib/lib/pytz/zoneinfo/Australia/South.py
trunk/matplotlib/lib/pytz/zoneinfo/Australia/Sydney.py
trunk/matplotlib/lib/pytz/zoneinfo/Australia/Tasmania.py
trunk/matplotlib/lib/pytz/zoneinfo/Australia/Victoria.py
trunk/matplotlib/lib/pytz/zoneinfo/Australia/West.py
trunk/matplotlib/lib/pytz/zoneinfo/Australia/Yancowinna.py
trunk/matplotlib/lib/pytz/zoneinfo/Brazil/Acre.py
trunk/matplotlib/lib/pytz/zoneinfo/Brazil/DeNoronha.py
trunk/matplotlib/lib/pytz/zoneinfo/Brazil/East.py
trunk/matplotlib/lib/pytz/zoneinfo/Brazil/West.py
trunk/matplotlib/lib/pytz/zoneinfo/CET.py
trunk/matplotlib/lib/pytz/zoneinfo/CST6CDT.py
trunk/matplotlib/lib/pytz/zoneinfo/Canada/Atlantic.py
trunk/matplotlib/lib/pytz/zoneinfo/Canada/Central.py
trunk/matplotlib/lib/pytz/zoneinfo/Canada/East_minus_Saskatchewan.py
trunk/matplotlib/lib/pytz/zoneinfo/Canada/Eastern.py
trunk/matplotlib/lib/pytz/zoneinfo/Canada/Mountain.py
trunk/matplotlib/lib/pytz/zoneinfo/Canada/Newfoundland.py
trunk/matplotlib/lib/pytz/zoneinfo/Canada/Pacific.py
trunk/matplotlib/lib/pytz/zoneinfo/Canada/Saskatchewan.py
trunk/matplotlib/lib/pytz/zoneinfo/Canada/Yukon.py
trunk/matplotlib/lib/pytz/zoneinfo/Chile/Continental.py
trunk/matplotlib/lib/pytz/zoneinfo/Chile/EasterIsland.py
trunk/matplotlib/lib/pytz/zoneinfo/Cuba.py
trunk/matplotlib/lib/pytz/zoneinfo/EET.py
trunk/matplotlib/lib/pytz/zoneinfo/EST.py
trunk/matplotlib/lib/pytz/zoneinfo/EST5EDT.py
trunk/matplotlib/lib/pytz/zoneinfo/Egypt.py
trunk/matplotlib/lib/pytz/zoneinfo/Eire.py
trunk/matplotlib/lib/pytz/zoneinfo/Etc/GMT.py
trunk/matplotlib/lib/pytz/zoneinfo/Etc/GMT0.py
trunk/matplotlib/lib/pytz/zoneinfo/Etc/GMT_minus_0.py
trunk/matplotlib/lib/pytz/zoneinfo/Etc/GMT_minus_1.py
trunk/matplotlib/lib/pytz/zoneinfo/Etc/GMT_minus_10.py
trunk/matplotlib/lib/pytz/zoneinfo/Etc/GMT_minus_11.py
trunk/matplotlib/lib/pytz/zoneinfo/Etc/GMT_minus_12.py
trunk/matplotlib/lib/pytz/zoneinfo/Etc/GMT_minus_13.py
trunk/matplotlib/lib/pytz/zoneinfo/Etc/GMT_minus_14.py
trunk/matplotlib/lib/pytz/zoneinfo/Etc/GMT_minus_2.py
trunk/matplotlib/lib/pytz/zoneinfo/Etc/GMT_minus_3.py
trunk/matplotlib/lib/pytz/zoneinfo/Etc/GMT_minus_4.py
trunk/matplotlib/lib/pytz/zoneinfo/Etc/GMT_minus_5.py
trunk/matplotlib/lib/pytz/zoneinfo/Etc/GMT_minus_6.py
trunk/matplotlib/lib/pytz/zoneinfo/Etc/GMT_minus_7.py
trunk/matplotlib/lib/pytz/zoneinfo/Etc/GMT_minus_8.py
trunk/matplotlib/lib/pytz/zoneinfo/Etc/GMT_minus_9.py
trunk/matplotlib/lib/pytz/zoneinfo/Etc/GMT_plus_0.py
trunk/matplotlib/lib/pytz/zoneinfo/Etc/GMT_plus_1.py
trunk/matplotlib/lib/pytz/zoneinfo/Etc/GMT_plus_10.py
trunk/matplotlib/lib/pytz/zoneinfo/Etc/GMT_plus_11.py
trunk/matplotlib/lib/pytz/zoneinfo/Etc/GMT_plus_12.py
trunk/matplotlib/lib/pytz/zoneinfo/Etc/GMT_plus_2.py
trunk/matplotlib/lib/pytz/zoneinfo/Etc/GMT_plus_3.py
trunk/matplotlib/lib/pytz/zoneinfo/Etc/GMT_plus_4.py
trunk/matplotlib/lib/pytz/zoneinfo/Etc/GMT_plus_5.py
trunk/matplotlib/lib/pytz/zoneinfo/Etc/GMT_plus_6.py
trunk/matplotlib/lib/pytz/zoneinfo/Etc/GMT_plus_7.py
trunk/matplotlib/lib/pytz/zoneinfo/Etc/GMT_plus_8.py
trunk/matplotlib/lib/pytz/zoneinfo/Etc/GMT_plus_9.py
trunk/matplotlib/lib/pytz/zoneinfo/Etc/Greenwich.py
trunk/matplotlib/lib/pytz/zoneinfo/Etc/UCT.py
trunk/matplotlib/lib/pytz/zoneinfo/Etc/UTC.py
trunk/matplotlib/lib/pytz/zoneinfo/Etc/Universal.py
trunk/matplotlib/lib/pytz/zoneinfo/Etc/Zulu.py
trunk/matplotlib/lib/pytz/zoneinfo/Europe/Amsterdam.py
trunk/matplotlib/lib/pytz/zoneinfo/Europe/Andorra.py
trunk/matplotlib/lib/pytz/zoneinfo/Europe/Athens.py
trunk/matplotlib/lib/pytz/zoneinfo/Europe/Belfast.py
trunk/matplotlib/lib/pytz/zoneinfo/Europe/Belgrade.py
trunk/matplotlib/lib/pytz/zoneinfo/Europe/Berlin.py
trunk/matplotlib/lib/pytz/zoneinfo/Europe/Bratislava.py
trunk/matplotlib/lib/pytz/zoneinfo/Europe/Brussels.py
trunk/matplotlib/lib/pytz/zoneinfo/Europe/Bucharest.py
trunk/matplotlib/lib/pytz/zoneinfo/Europe/Budapest.py
trunk/matplotlib/lib/pytz/zoneinfo/Europe/Chisinau.py
trunk/matplotlib/lib/pytz/zoneinfo/Europe/Copenhagen.py
trunk/matplotlib/lib/pytz/zoneinfo/Europe/Dublin.py
trunk/matplotlib/lib/pytz/zoneinfo/Europe/Gibraltar.py
trunk/matplotlib/lib/pytz/zoneinfo/Europe/Helsinki.py
trunk/matplotlib/lib/pytz/zoneinfo/Europe/Istanbul.py
trunk/matplotlib/lib/pytz/zoneinfo/Europe/Kaliningrad.py
trunk/matplotlib/lib/pytz/zoneinfo/Europe/Kiev.py
trunk/matplotlib/lib/pytz/zoneinfo/Europe/Lisbon.py
trunk/matplotlib/lib/pytz/zoneinfo/Europe/Ljubljana.py
trunk/matplotlib/lib/pytz/zoneinfo/Europe/London.py
trunk/matplotlib/lib/pytz/zoneinfo/Europe/Luxembourg.py
trunk/matplotlib/lib/pytz/zoneinfo/Europe/Madrid.py
trunk/matplotlib/lib/pytz/zoneinfo/Europe/Malta.py
trunk/matplotlib/lib/pytz/zoneinfo/Europe/Mariehamn.py
trunk/matplotlib/lib/pytz/zoneinfo/Europe/Minsk.py
trunk/matplotlib/lib/pytz/zoneinfo/Europe/Monaco.py
trunk/matplotlib/lib/pytz/zoneinfo/Europe/Moscow.py
trunk/matplotlib/lib/pytz/zoneinfo/Europe/Nicosia.py
trunk/matplotlib/lib/pytz/zoneinfo/Europe/Oslo.py
trunk/matplotlib/lib/pytz/zoneinfo/Europe/Paris.py
trunk/matplotlib/lib/pytz/zoneinfo/Europe/Prague.py
trunk/matplotlib/lib/pytz/zoneinfo/Europe/Riga.py
trunk/matplotlib/lib/pytz/zoneinfo/Europe/Rome.py
trunk/matplotlib/lib/pytz/zoneinfo/Europe/Samara.py
trunk/matplotlib/lib/pytz/zoneinfo/Europe/San_Marino.py
trunk/matplotlib/lib/pytz/zoneinfo/Europe/Sarajevo.py
trunk/matplotlib/lib/pytz/zoneinfo/Europe/Simferopol.py
trunk/matplotlib/lib/pytz/zoneinfo/Europe/Skopje.py
trunk/matplotlib/lib/pytz/zoneinfo/Europe/Sofia.py
trunk/matplotlib/lib/pytz/zoneinfo/Europe/Stockholm.py
trunk/matplotlib/lib/pytz/zoneinfo/Europe/Tallinn.py
trunk/matplotlib/lib/pytz/zoneinfo/Europe/Tirane.py
trunk/matplotlib/lib/pytz/zoneinfo/Europe/Tiraspol.py
trunk/matplotlib/lib/pytz/zoneinfo/Europe/Uzhgorod.py
trunk/matplotlib/lib/pytz/zoneinfo/Europe/Vaduz.py
trunk/matplotlib/lib/pytz/zoneinfo/Europe/Vatican.py
trunk/matplotlib/lib/pytz/zoneinfo/Europe/Vienna.py
trunk/matplotlib/lib/pytz/zoneinfo/Europe/Vilnius.py
trunk/matplotlib/lib/pytz/zoneinfo/Europe/Warsaw.py
trunk/matplotlib/lib/pytz/zoneinfo/Europe/Zagreb.py
trunk/matplotlib/lib/pytz/zoneinfo/Europe/Zaporozhye.py
trunk/matplotlib/lib/pytz/zoneinfo/Europe/Zurich.py
trunk/matplotlib/lib/pytz/zoneinfo/GB.py
trunk/matplotlib/lib/pytz/zoneinfo/GB_minus_Eire.py
trunk/matplotlib/lib/pytz/zoneinfo/GMT.py
trunk/matplotlib/lib/pytz/zoneinfo/GMT0.py
trunk/matplotlib/lib/pytz/zoneinfo/GMT_minus_0.py
trunk/matplotlib/lib/pytz/zoneinfo/GMT_plus_0.py
trunk/matplotlib/lib/pytz/zoneinfo/Greenwich.py
trunk/matplotlib/lib/pytz/zoneinfo/HST.py
trunk/matplotlib/lib/pytz/zoneinfo/Hongkong.py
trunk/matplotlib/lib/pytz/zoneinfo/Iceland.py
trunk/matplotlib/lib/pytz/zoneinfo/Indian/Antananarivo.py
trunk/matplotlib/lib/pytz/zoneinfo/Indian/Chagos.py
trunk/matplotlib/lib/pytz/zoneinfo/Indian/Christmas.py
trunk/matplotlib/lib/pytz/zoneinfo/Indian/Cocos.py
trunk/matplotlib/lib/pytz/zoneinfo/Indian/Comoro.py
trunk/matplotlib/lib/pytz/zoneinfo/Indian/Kerguelen.py
trunk/matplotlib/lib/pytz/zoneinfo/Indian/Mahe.py
trunk/matplotlib/lib/pytz/zoneinfo/Indian/Maldives.py
trunk/matplotlib/lib/pytz/zoneinfo/Indian/Mauritius.py
trunk/matplotlib/lib/pytz/zoneinfo/Indian/Mayotte.py
trunk/matplotlib/lib/pytz/zoneinfo/Indian/Reunion.py
trunk/matplotlib/lib/pytz/zoneinfo/Iran.py
trunk/matplotlib/lib/pytz/zoneinfo/Israel.py
trunk/matplotlib/lib/pytz/zoneinfo/Jamaica.py
trunk/matplotlib/lib/pytz/zoneinfo/Japan.py
trunk/matplotlib/lib/pytz/zoneinfo/Kwajalein.py
trunk/matplotlib/lib/pytz/zoneinfo/Libya.py
trunk/matplotlib/lib/pytz/zoneinfo/MET.py
trunk/matplotlib/lib/pytz/zoneinfo/MST.py
trunk/matplotlib/lib/pytz/zoneinfo/MST7MDT.py
trunk/matplotlib/lib/pytz/zoneinfo/Mexico/BajaNorte.py
trunk/matplotlib/lib/pytz/zoneinfo/Mexico/BajaSur.py
trunk/matplotlib/lib/pytz/zoneinfo/Mexico/General.py
trunk/matplotlib/lib/pytz/zoneinfo/NZ.py
trunk/matplotlib/lib/pytz/zoneinfo/NZ_minus_CHAT.py
trunk/matplotlib/lib/pytz/zoneinfo/Navajo.py
trunk/matplotlib/lib/pytz/zoneinfo/PRC.py
trunk/matplotlib/lib/pytz/zoneinfo/PST8PDT.py
trunk/matplotlib/lib/pytz/zoneinfo/Pacific/Apia.py
trunk/matplotlib/lib/pytz/zoneinfo/Pacific/Auckland.py
trunk/matplotlib/lib/pytz/zoneinfo/Pacific/Chatham.py
trunk/matplotlib/lib/pytz/zoneinfo/Pacific/Easter.py
trunk/matplotlib/lib/pytz/zoneinfo/Pacific/Efate.py
trunk/matplotlib/lib/pytz/zoneinfo/Pacific/Enderbury.py
trunk/matplotlib/lib/pytz/zoneinfo/Pacific/Fakaofo.py
trunk/matplotlib/lib/pytz/zoneinfo/Pacific/Fiji.py
trunk/matplotlib/lib/pytz/zoneinfo/Pacific/Funafuti.py
trunk/matplotlib/lib/pytz/zoneinfo/Pacific/Galapagos.py
trunk/matplotlib/lib/pytz/zoneinfo/Pacific/Gambier.py
trunk/matplotlib/lib/pytz/zoneinfo/Pacific/Guadalcanal.py
trunk/matplotlib/lib/pytz/zoneinfo/Pacific/Guam.py
trunk/matplotlib/lib/pytz/zoneinfo/Pacific/Honolulu.py
trunk/matplotlib/lib/pytz/zoneinfo/Pacific/Johnston.py
trunk/matplotlib/lib/pytz/zoneinfo/Pacific/Kiritimati.py
trunk/matplotlib/lib/pytz/zoneinfo/Pacific/Kosrae.py
trunk/matplotlib/lib/pytz/zoneinfo/Pacific/Kwajalein.py
trunk/matplotlib/lib/pytz/zoneinfo/Pacific/Majuro.py
trunk/matplotlib/lib/pytz/zoneinfo/Pacific/Marquesas.py
trunk/matplotlib/lib/pytz/zoneinfo/Pacific/Midway.py
trunk/matplotlib/lib/pytz/zoneinfo/Pacific/Nauru.py
trunk/matplotlib/lib/pytz/zoneinfo/Pacific/Niue.py
trunk/matplotlib/lib/pytz/zoneinfo/Pacific/Norfolk.py
trunk/matplotlib/lib/pytz/zoneinfo/Pacific/Noumea.py
trunk/matplotlib/lib/pytz/zoneinfo/Pacific/Pago_Pago.py
trunk/matplotlib/lib/pytz/zoneinfo/Pacific/Palau.py
trunk/matplotlib/lib/pytz/zoneinfo/Pacific/Pitcairn.py
trunk/matplotlib/lib/pytz/zoneinfo/Pacific/Ponape.py
trunk/matplotlib/lib/pytz/zoneinfo/Pacific/Port_Moresby.py
trunk/matplotlib/lib/pytz/zoneinfo/Pacific/Rarotonga.py
trunk/matplotlib/lib/pytz/zoneinfo/Pacific/Saipan.py
trunk/matplotlib/lib/pytz/zoneinfo/Pacific/Samoa.py
trunk/matplotlib/lib/pytz/zoneinfo/Pacific/Tahiti.py
trunk/matplotlib/lib/pytz/zoneinfo/Pacific/Tarawa.py
trunk/matplotlib/lib/pytz/zoneinfo/Pacific/Tongatapu.py
trunk/matplotlib/lib/pytz/zoneinfo/Pacific/Truk.py
trunk/matplotlib/lib/pytz/zoneinfo/Pacific/Wake.py
trunk/matplotlib/lib/pytz/zoneinfo/Pacific/Wallis.py
trunk/matplotlib/lib/pytz/zoneinfo/Pacific/Yap.py
trunk/matplotlib/lib/pytz/zoneinfo/Poland.py
trunk/matplotlib/lib/pytz/zoneinfo/Portugal.py
trunk/matplotlib/lib/pytz/zoneinfo/ROC.py
trunk/matplotlib/lib/pytz/zoneinfo/ROK.py
trunk/matplotlib/lib/pytz/zoneinfo/Singapore.py
trunk/matplotlib/lib/pytz/zoneinfo/Turkey.py
trunk/matplotlib/lib/pytz/zoneinfo/UCT.py
trunk/matplotlib/lib/pytz/zoneinfo/US/Alaska.py
trunk/matplotlib/lib/pytz/zoneinfo/US/Aleutian.py
trunk/matplotlib/lib/pytz/zoneinfo/US/Arizona.py
trunk/matplotlib/lib/pytz/zoneinfo/US/Central.py
trunk/matplotlib/lib/pytz/zoneinfo/US/East_minus_Indiana.py
trunk/matplotlib/lib/pytz/zoneinfo/US/Eastern.py
trunk/matplotlib/lib/pytz/zoneinfo/US/Hawaii.py
trunk/matplotlib/lib/pytz/zoneinfo/US/Indiana_minus_Starke.py
trunk/matplotlib/lib/pytz/zoneinfo/US/Michigan.py
trunk/matplotlib/lib/pytz/zoneinfo/US/Mountain.py
trunk/matplotlib/lib/pytz/zoneinfo/US/Pacific.py
trunk/matplotlib/lib/pytz/zoneinfo/US/Pacific_minus_New.py
trunk/matplotlib/lib/pytz/zoneinfo/US/Samoa.py
trunk/matplotlib/lib/pytz/zoneinfo/UTC.py
trunk/matplotlib/lib/pytz/zoneinfo/Universal.py
trunk/matplotlib/lib/pytz/zoneinfo/WET.py
trunk/matplotlib/lib/pytz/zoneinfo/W_minus_SU.py
trunk/matplotlib/lib/pytz/zoneinfo/Zulu.py
trunk/matplotlib/lib/pytz/zoneinfo/posixrules.py
Added Paths:
-----------
trunk/matplotlib/lib/dateutil/LICENSE
trunk/matplotlib/lib/dateutil/NEWS
trunk/matplotlib/lib/dateutil/README
trunk/matplotlib/lib/dateutil/tzwin.py
trunk/matplotlib/lib/dateutil/zoneinfo/
trunk/matplotlib/lib/dateutil/zoneinfo/__init__.py
trunk/matplotlib/lib/dateutil/zoneinfo/zoneinfo-2007f.tar.gz
trunk/matplotlib/lib/pytz/CHANGES.txt
trunk/matplotlib/lib/pytz/LICENSE.txt
trunk/matplotlib/lib/pytz/README.txt
trunk/matplotlib/lib/pytz/zone.tab
trunk/matplotlib/lib/pytz/zoneinfo/America/Atikokan.py
trunk/matplotlib/lib/pytz/zoneinfo/America/Blanc_minus_Sablon.py
trunk/matplotlib/lib/pytz/zoneinfo/America/Coral_Harbour.py
trunk/matplotlib/lib/pytz/zoneinfo/America/Indiana/Petersburg.py
trunk/matplotlib/lib/pytz/zoneinfo/America/Indiana/Vincennes.py
trunk/matplotlib/lib/pytz/zoneinfo/America/Moncton.py
trunk/matplotlib/lib/pytz/zoneinfo/America/North_Dakota/New_Salem.py
trunk/matplotlib/lib/pytz/zoneinfo/Australia/Currie.py
trunk/matplotlib/lib/pytz/zoneinfo/Europe/Guernsey.py
trunk/matplotlib/lib/pytz/zoneinfo/Europe/Isle_of_Man.py
trunk/matplotlib/lib/pytz/zoneinfo/Europe/Jersey.py
trunk/matplotlib/lib/pytz/zoneinfo/Europe/Podgorica.py
trunk/matplotlib/lib/pytz/zoneinfo/Europe/Volgograd.py
Added: trunk/matplotlib/lib/dateutil/LICENSE
===================================================================
--- trunk/matplotlib/lib/dateutil/LICENSE (rev 0)
+++ trunk/matplotlib/lib/dateutil/LICENSE 2007年08月09日 09:02:13 UTC (rev 3689)
@@ -0,0 +1,259 @@
+A. HISTORY OF THE SOFTWARE
+==========================
+
+Python was created in the early 1990s by Guido van Rossum at Stichting
+Mathematisch Centrum (CWI, see http://www.cwi.nl) in the Netherlands
+as a successor of a language called ABC. Guido remains Python's
+principal author, although it includes many contributions from others.
+
+In 1995, Guido continued his work on Python at the Corporation for
+National Research Initiatives (CNRI, see http://www.cnri.reston.va.us)
+in Reston, Virginia where he released several versions of the
+software.
+
+In May 2000, Guido and the Python core development team moved to
+BeOpen.com to form the BeOpen PythonLabs team. In October of the same
+year, the PythonLabs team moved to Digital Creations (now Zope
+Corporation, see http://www.zope.com). In 2001, the Python Software
+Foundation (PSF, see http://www.python.org/psf/) was formed, a
+non-profit organization created specifically to own Python-related
+Intellectual Property. Zope Corporation is a sponsoring member of
+the PSF.
+
+All Python releases are Open Source (see http://www.opensource.org for
+the Open Source Definition). Historically, most, but not all, Python
+releases have also been GPL-compatible; the table below summarizes
+the various releases.
+
+ Release Derived Year Owner GPL-
+ from compatible? (1)
+
+ 0.9.0 thru 1.2 1991-1995 CWI yes
+ 1.3 thru 1.5.2 1.2 1995-1999 CNRI yes
+ 1.6 1.5.2 2000 CNRI no
+ 2.0 1.6 2000 BeOpen.com no
+ 1.6.1 1.6 2001 CNRI yes (2)
+ 2.1 2.0+1.6.1 2001 PSF no
+ 2.0.1 2.0+1.6.1 2001 PSF yes
+ 2.1.1 2.1+2.0.1 2001 PSF yes
+ 2.2 2.1.1 2001 PSF yes
+ 2.1.2 2.1.1 2002 PSF yes
+ 2.1.3 2.1.2 2002 PSF yes
+ 2.2.1 2.2 2002 PSF yes
+ 2.2.2 2.2.1 2002 PSF yes
+ 2.2.3 2.2.2 2003 PSF yes
+ 2.3 2.2.2 2002-2003 PSF yes
+
+Footnotes:
+
+(1) GPL-compatible doesn't mean that we're distributing Python under
+ the GPL. All Python licenses, unlike the GPL, let you distribute
+ a modified version without making your changes open source. The
+ GPL-compatible licenses make it possible to combine Python with
+ other software that is released under the GPL; the others don't.
+
+(2) According to Richard Stallman, 1.6.1 is not GPL-compatible,
+ because its license has a choice of law clause. According to
+ CNRI, however, Stallman's lawyer has told CNRI's lawyer that 1.6.1
+ is "not incompatible" with the GPL.
+
+Thanks to the many outside volunteers who have worked under Guido's
+direction to make these releases possible.
+
+
+B. TERMS AND CONDITIONS FOR ACCESSING OR OTHERWISE USING PYTHON
+===============================================================
+
+PSF LICENSE AGREEMENT FOR PYTHON 2.3
+------------------------------------
+
+1. This LICENSE AGREEMENT is between the Python Software Foundation
+("PSF"), and the Individual or Organization ("Licensee") accessing and
+otherwise using Python 2.3 software in source or binary form and its
+associated documentation.
+
+2. Subject to the terms and conditions of this License Agreement, PSF
+hereby grants Licensee a nonexclusive, royalty-free, world-wide
+license to reproduce, analyze, test, perform and/or display publicly,
+prepare derivative works, distribute, and otherwise use Python 2.3
+alone or in any derivative version, provided, however, that PSF's
+License Agreement and PSF's notice of copyright, i.e., "Copyright (c)
+2001, 2002, 2003 Python Software Foundation; All Rights Reserved" are
+retained in Python 2.3 alone or in any derivative version prepared by
+Licensee.
+
+3. In the event Licensee prepares a derivative work that is based on
+or incorporates Python 2.3 or any part thereof, and wants to make
+the derivative work available to others as provided herein, then
+Licensee hereby agrees to include in any such work a brief summary of
+the changes made to Python 2.3.
+
+4. PSF is making Python 2.3 available to Licensee on an "AS IS"
+basis. PSF MAKES NO REPRESENTATIONS OR WARRANTIES, EXPRESS OR
+IMPLIED. BY WAY OF EXAMPLE, BUT NOT LIMITATION, PSF MAKES NO AND
+DISCLAIMS ANY REPRESENTATION OR WARRANTY OF MERCHANTABILITY OR FITNESS
+FOR ANY PARTICULAR PURPOSE OR THAT THE USE OF PYTHON 2.3 WILL NOT
+INFRINGE ANY THIRD PARTY RIGHTS.
+
+5. PSF SHALL NOT BE LIABLE TO LICENSEE OR ANY OTHER USERS OF PYTHON
+2.3 FOR ANY INCIDENTAL, SPECIAL, OR CONSEQUENTIAL DAMAGES OR LOSS AS
+A RESULT OF MODIFYING, DISTRIBUTING, OR OTHERWISE USING PYTHON 2.3,
+OR ANY DERIVATIVE THEREOF, EVEN IF ADVISED OF THE POSSIBILITY THEREOF.
+
+6. This License Agreement will automatically terminate upon a material
+breach of its terms and conditions.
+
+7. Nothing in this License Agreement shall be deemed to create any
+relationship of agency, partnership, or joint venture between PSF and
+Licensee. This License Agreement does not grant permission to use PSF
+trademarks or trade name in a trademark sense to endorse or promote
+products or services of Licensee, or any third party.
+
+8. By copying, installing or otherwise using Python 2.3, Licensee
+agrees to be bound by the terms and conditions of this License
+Agreement.
+
+
+BEOPEN.COM LICENSE AGREEMENT FOR PYTHON 2.0
+-------------------------------------------
+
+BEOPEN PYTHON OPEN SOURCE LICENSE AGREEMENT VERSION 1
+
+1. This LICENSE AGREEMENT is between BeOpen.com ("BeOpen"), having an
+office at 160 Saratoga Avenue, Santa Clara, CA 95051, and the
+Individual or Organization ("Licensee") accessing and otherwise using
+this software in source or binary form and its associated
+documentation ("the Software").
+
+2. Subject to the terms and conditions of this BeOpen Python License
+Agreement, BeOpen hereby grants Licensee a non-exclusive,
+royalty-free, world-wide license to reproduce, analyze, test, perform
+and/or display publicly, prepare derivative works, distribute, and
+otherwise use the Software alone or in any derivative version,
+provided, however, that the BeOpen Python License is retained in the
+Software, alone or in any derivative version prepared by Licensee.
+
+3. BeOpen is making the Software available to Licensee on an "AS IS"
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+
+CNRI LICENSE AGREEMENT FOR PYTHON 1.6.1
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+
+1. This LICENSE AGREEMENT is between the Corporation for National
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+unique, persistent identifier (known as a handle): 1895.22/1013. This
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+3. In the event Licensee prepares a derivative work that is based on
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+the derivative work available to others as provided herein, then
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+
+4. CNRI is making Python 1.6.1 available to Licensee on an "AS IS"
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+1.6.1 FOR ANY INCIDENTAL, SPECIAL, OR CONSEQUENTIAL DAMAGES OR LOSS AS
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+6. This License Agreement will automatically terminate upon a material
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+U.S. federal law does not apply, by the law of the Commonwealth of
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+Notwithstanding the foregoing, with regard to derivative works based
+on Python 1.6.1 that incorporate non-separable material that was
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+8. By clicking on the "ACCEPT" button where indicated, or by copying,
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+ ACCEPT
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+
+CWI LICENSE AGREEMENT FOR PYTHON 0.9.0 THROUGH 1.2
+--------------------------------------------------
+
+Copyright (c) 1991 - 1995, Stichting Mathematisch Centrum Amsterdam,
+The Netherlands. All rights reserved.
+
+Permission to use, copy, modify, and distribute this software and its
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Added: trunk/matplotlib/lib/dateutil/NEWS
===================================================================
--- trunk/matplotlib/lib/dateutil/NEWS (rev 0)
+++ trunk/matplotlib/lib/dateutil/NEWS 2007年08月09日 09:02:13 UTC (rev 3689)
@@ -0,0 +1,81 @@
+Version 1.2
+-----------
+
+- Now tzfile will round timezones to full-minutes if necessary,
+ since Python's datetime doesn't support sub-minute offsets.
+ Thanks to Ilpo Nyyss\xF6nen for reporting the issue.
+
+- Removed bare string exceptions, as reported and fixed by
+ Wilfredo S\xE1nchez Vega.
+
+- Fix bug in leap count parsing (reported and fixed by Eugene Oden).
+
+
+Version 1.1
+-----------
+
+- Fixed rrule byyearday handling. Abramo Bagnara pointed out that
+ RFC2445 allows negative numbers.
+
+- Fixed --prefix handling in setup.py (by Sidnei da Silva).
+
+- Now tz.gettz() returns a tzlocal instance when not given any
+ arguments and no other timezone information is found.
+
+- Updating timezone information to version 2005q.
+
+
+Version 1.0
+-----------
+
+- Fixed parsing of XXhXXm formatted time after day/month/year
+ has been parsed.
+
+- Added patch by Jeffrey Harris optimizing rrule.__contains__.
+
+
+Version 0.9
+-----------
+
+- Fixed pickling of timezone types, as reported by
+ Andreas K\xF6hler.
+
+- Implemented internal timezone information with binary
+ timezone files [1]. datautil.tz.gettz() function will now
+ try to use the system timezone files, and fallback to
+ the internal versions. It's also possible to ask for
+ the internal versions directly by using
+ dateutil.zoneinfo.gettz().
+
+- New tzwin timezone type, allowing access to Windows
+ internal timezones (contributed by Jeffrey Harris).
+
+- Fixed parsing of unicode date strings.
+
+- Accept parserinfo instances as the parser constructor
+ parameter, besides parserinfo (sub)classes.
+
+- Changed weekday to spell the not-set n value as None
+ instead of 0.
+
+- Fixed other reported bugs.
+
+[1] http://www.twinsun.com/tz/tz-link.htm
+
+
+Version 0.5
+-----------
+
+- Removed FREQ_ prefix from rrule frequency constants
+ WARNING: this breaks compatibility with previous versions.
+
+- Fixed rrule.between() for cases where "after" is achieved
+ before even starting, as reported by Andreas K\xF6hler.
+
+- Fixed two digit zero-year parsing (such as 31-Dec-00), as
+ reported by Jim Abramson, and included test case for this.
+
+- Sort exdate and rdate before iterating over them, so that
+ it's not necessary to sort them before adding to the rruleset,
+ as reported by Nicholas Piper.
+
Added: trunk/matplotlib/lib/dateutil/README
===================================================================
--- trunk/matplotlib/lib/dateutil/README (rev 0)
+++ trunk/matplotlib/lib/dateutil/README 2007年08月09日 09:02:13 UTC (rev 3689)
@@ -0,0 +1,1980 @@
+The dateutil module packaged with matplotlib is copied from
+ http://labix.org/python-dateutil
+
+Do not make any changes in this copy of the code. They may be
+overwritten with the next update from the original source.
+
+Below is the original README text from the distribution.
+
+-----------------------------------------------------------------
+
+## This file is in the moin format. The latest version is found
+## at https://moin.conectiva.com.br/DateUtil
+
+== Contents ==
+[[TableOfContents]]
+
+== Description ==
+The '''dateutil''' module provides powerful extensions to
+the standard '''datetime''' module, available in Python 2.3+.
+
+== Features ==
+
+ * Computing of relative deltas (next month, next year,
+ next monday, last week of month, etc);
+
+ * Computing of relative deltas between two given
+ date and/or datetime objects;
+
+ * Computing of dates based on very flexible recurrence rules,
+ using a superset of the
+ [ftp://ftp.rfc-editor.org/in-notes/rfc2445.txt iCalendar]
+ specification. Parsing of RFC strings is supported as well.
+
+ * Generic parsing of dates in almost any string format;
+
+ * Timezone (tzinfo) implementations for tzfile(5) format
+ files (/etc/localtime, /usr/share/zoneinfo, etc), TZ
+ environment string (in all known formats), iCalendar
+ format files, given ranges (with help from relative deltas),
+ local machine timezone, fixed offset timezone, UTC timezone,
+ and Windows registry-based time zones.
+
+ * Internal up-to-date world timezone information based on
+ Olson's database.
+
+ * Computing of Easter Sunday dates for any given year,
+ using Western, Orthodox or Julian algorithms;
+
+ * More than 400 test cases.
+
+== Quick example ==
+Here's a snapshot, just to give an idea about the power of the
+package. For more examples, look at the documentation below.
+
+Suppose you want to know how much time is left, in
+years/months/days/etc, before the next easter happening on a
+year with a Friday 13th in August, and you want to get today's
+date out of the "date" unix system command. Here is the code:
+{{{
+from dateutil.relativedelta import *
+from dateutil.easter import *
+from dateutil.rrule import *
+from dateutil.parser import *
+from datetime import *
+import commands
+import os
+now = parse(commands.getoutput("date"))
+today = now.date()
+year = rrule(YEARLY,bymonth=8,bymonthday=13,byweekday=FR)[0].year
+rdelta = relativedelta(easter(year), today)
+print "Today is:", today
+print "Year with next Aug 13th on a Friday is:", year
+print "How far is the Easter of that year:", rdelta
+print "And the Easter of that year is:", today+rdelta
+}}}
+
+And here's the output:
+{{{
+Today is: 2003年10月11日
+Year with next Aug 13th on a Friday is: 2004
+How far is the Easter of that year: relativedelta(months=+6)
+And the Easter of that year is: 2004年04月11日
+}}}
+
+{i} Being exactly 6 months ahead was '''really''' a coincidence :)
+
+== Download ==
+The following files are available.
+ * attachment:python-dateutil-1.0.tar.bz2
+ * attachment:python-dateutil-1.0-1.noarch.rpm
+
+== Author ==
+The dateutil module was written by GustavoNiemeyer <gu...@ni...>.
+
+== Documentation ==
+The following modules are available.
+
+=== relativedelta ===
+This module offers the '''relativedelta''' type, which is based
+on the specification of the excelent work done by M.-A. Lemburg in his
+[http://www.egenix.com/files/python/mxDateTime.html mxDateTime]
+extension. However, notice that this type '''does not''' implement the
+same algorithm as his work. Do not expect it to behave like
+{{{mxDateTime}}}'s counterpart.
+
+==== relativedelta type ====
+
+There's two different ways to build a relativedelta instance. The
+first one is passing it two {{{date}}}/{{{datetime}}} instances:
+{{{
+relativedelta(datetime1, datetime2)
+}}}
+
+This will build the relative difference between {{{datetime1}}} and
+{{{datetime2}}}, so that the following constraint is always true:
+{{{
+datetime2+relativedelta(datetime1, datetime2) == datetime1
+}}}
+
+Notice that instead of {{{datetime}}} instances, you may use
+{{{date}}} instances, or a mix of both.
+
+And the other way is to use any of the following keyword arguments:
+
+ year, month, day, hour, minute, second, microsecond::
+ Absolute information.
+
+ years, months, weeks, days, hours, minutes, seconds, microseconds::
+ Relative information, may be negative.
+
+ weekday::
+ One of the weekday instances ({{{MO}}}, {{{TU}}}, etc). These
+ instances may receive a parameter {{{n}}}, specifying the {{{n}}}th
+ weekday, which could be positive or negative (like {{{MO(+2)}}} or
+ {{{MO(-3)}}}. Not specifying it is the same as specifying {{{+1}}}.
+ You can also use an integer, where {{{0=MO}}}. Notice that,
+ for example, if the calculated date is already Monday, using
+ {{{MO}}} or {{{MO(+1)}}} (which is the same thing in this context),
+ won't change the day.
+
+ leapdays::
+ Will add given days to the date found, but only if the computed
+ year is a leap year and the computed date is post 28 of february.
+
+ yearday, nlyearday::
+ Set the yearday or the non-leap year day (jump leap days).
+ These are converted to {{{day}}}/{{{month}}}/{{{leapdays}}}
+ information.
+
+==== Behavior of operations ====
+If you're curious about exactly how the relative delta will act
+on operations, here is a description of its behavior.
+
+ 1. Calculate the absolute year, using the {{{year}}} argument, or the
+ original datetime year, if the argument is not present.
+ 1. Add the relative {{{years}}} argument to the absolute year.
+ 1. Do steps 1 and 2 for {{{month}}}/{{{months}}}.
+ 1. Calculate the absolute day, using the {{{day}}} argument, or the
+ original datetime day, if the argument is not present. Then, subtract
+ from the day until it fits in the year and month found after their
+ operations.
+ 1. Add the relative {{{days}}} argument to the absolute day. Notice
+ that the {{{weeks}}} argument is multiplied by 7 and added to {{{days}}}.
+ 1. If {{{leapdays}}} is present, the computed year is a leap year, and
+ the computed month is after february, remove one day from the found date.
+ 1. Do steps 1 and 2 for {{{hour}}}/{{{hours}}}, {{{minute}}}/{{{minutes}}},
+ {{{second}}}/{{{seconds}}}, {{{microsecond}}}/{{{microseconds}}}.
+ 1. If the {{{weekday}}} argument is present, calculate the {{{n}}}th
+ occurrence of the given weekday.
+
+==== Examples ====
+
+Let's begin our trip.
+{{{
+>>> from datetime import *; from dateutil.relativedelta import *
+>>> import calendar
+}}}
+
+Store some values.
+{{{
+>>> NOW = datetime.now()
+>>> TODAY = date.today()
+>>> NOW
+datetime.datetime(2003, 9, 17, 20, 54, 47, 282310)
+>>> TODAY
+datetime.date(2003, 9, 17)
+}}}
+
+Next month.
+{{{
+>>> NOW+relativedelta(months=+1)
+datetime.datetime(2003, 10, 17, 20, 54, 47, 282310)
+}}}
+
+Next month, plus one week.
+{{{
+>>> NOW+relativedelta(months=+1, weeks=+1)
+datetime.datetime(2003, 10, 24, 20, 54, 47, 282310)
+}}}
+
+Next month, plus one week, at 10am.
+{{{
+>>> TODAY+relativedelta(months=+1, weeks=+1, hour=10)
+datetime.datetime(2003, 10, 24, 10, 0)
+}}}
+
+Let's try the other way around. Notice that the
+hour setting we get in the relativedelta is relative,
+since it's a difference, and the weeks parameter
+has gone.
+{{{
+>>> relativedelta(datetime(2003, 10, 24, 10, 0), TODAY)
+relativedelta(months=+1, days=+7, hours=+10)
+}}}
+
+One month before one year.
+{{{
+>>> NOW+relativedelta(years=+1, months=-1)
+datetime.datetime(2004, 8, 17, 20, 54, 47, 282310)
+}}}
+
+How does it handle months with different numbers of days?
+Notice that adding one month will never cross the month
+boundary.
+{{{
+>>> date(2003,1,27)+relativedelta(months=+1)
+datetime.date(2003, 2, 27)
+>>> date(2003,1,31)+relativedelta(months=+1)
+datetime.date(2003, 2, 28)
+>>> date(2003,1,31)+relativedelta(months=+2)
+datetime.date(2003, 3, 31)
+}}}
+
+The logic for years is the same, even on leap years.
+{{{
+>>> date(2000,2,28)+relativedelta(years=+1)
+datetime.date(2001, 2, 28)
+>>> date(2000,2,29)+relativedelta(years=+1)
+datetime.date(2001, 2, 28)
+
+>>> date(1999,2,28)+relativedelta(years=+1)
+datetime.date(2000, 2, 28)
+>>> date(1999,3,1)+relativedelta(years=+1)
+datetime.date(2000, 3, 1)
+
+>>> date(2001,2,28)+relativedelta(years=-1)
+datetime.date(2000, 2, 28)
+>>> date(2001,3,1)+relativedelta(years=-1)
+datetime.date(2000, 3, 1)
+}}}
+
+Next friday.
+{{{
+>>> TODAY+relativedelta(weekday=FR)
+datetime.date(2003, 9, 19)
+
+>>> TODAY+relativedelta(weekday=calendar.FRIDAY)
+datetime.date(2003, 9, 19)
+}}}
+
+Last friday in this month.
+{{{
+>>> TODAY+relativedelta(day=31, weekday=FR(-1))
+datetime.date(2003, 9, 26)
+}}}
+
+Next wednesday (it's today!).
+{{{
+>>> TODAY+relativedelta(weekday=WE(+1))
+datetime.date(2003, 9, 17)
+}}}
+
+Next wednesday, but not today.
+{{{
+>>> TODAY+relativedelta(days=+1, weekday=WE(+1))
+datetime.date(2003, 9, 24)
+}}}
+
+Following
+[http://www.cl.cam.ac.uk/~mgk25/iso-time.html ISO year week number notation]
+find the first day of the 15th week of 1997.
+{{{
+>>> datetime(1997,1,1)+relativedelta(day=4, weekday=MO(-1), weeks=+14)
+datetime.datetime(1997, 4, 7, 0, 0)
+}}}
+
+How long ago has the millennium changed?
+{{{
+>>> relativedelta(NOW, date(2001,1,1))
+relativedelta(years=+2, months=+8, days=+16,
+ hours=+20, minutes=+54, seconds=+47, microseconds=+282310)
+}}}
+
+How old is John?
+{{{
+>>> johnbirthday = datetime(1978, 4, 5, 12, 0)
+>>> relativedelta(NOW, johnbirthday)
+relativedelta(years=+25, months=+5, days=+12,
+ hours=+8, minutes=+54, seconds=+47, microseconds=+282310)
+}}}
+
+It works with dates too.
+{{{
+>>> relativedelta(TODAY, johnbirthday)
+relativedelta(years=+25, months=+5, days=+11, hours=+12)
+}}}
+
+Obtain today's date using the yearday:
+{{{
+>>> date(2003, 1, 1)+relativedelta(yearday=260)
+datetime.date(2003, 9, 17)
+}}}
+
+We can use today's date, since yearday should be absolute
+in the given year:
+{{{
+>>> TODAY+relativedelta(yearday=260)
+datetime.date(2003, 9, 17)
+}}}
+
+Last year it should be in the same day:
+{{{
+>>> date(2002, 1, 1)+relativedelta(yearday=260)
+datetime.date(2002, 9, 17)
+}}}
+
+But not in a leap year:
+{{{
+>>> date(2000, 1, 1)+relativedelta(yearday=260)
+datetime.date(2000, 9, 16)
+}}}
+
+We can use the non-leap year day to ignore this:
+{{{
+>>> date(2000, 1, 1)+relativedelta(nlyearday=260)
+datetime.date(2000, 9, 17)
+}}}
+
+=== rrule ===
+The rrule module offers a small, complete, and very fast, implementation
+of the recurrence rules documented in the
+[ftp://ftp.rfc-editor.org/in-notes/rfc2445.txt iCalendar RFC], including
+support for caching of results.
+
+==== rrule type ====
+That's the base of the rrule operation. It accepts all the keywords
+defined in the RFC as its constructor parameters (except {{{byday}}},
+which was renamed to {{{byweekday}}}) and more. The constructor
+prototype is:
+{{{
+rrule(freq)
+}}}
+
+Where {{{freq}}} must be one of {{{YEARLY}}}, {{{MONTHLY}}},
+{{{WEEKLY}}}, {{{DAILY}}}, {{{HOURLY}}}, {{{MINUTELY}}},
+or {{{SECONDLY}}}.
+
+Additionally, it supports the following keyword arguments:
+
+ cache::
+ If given, it must be a boolean value specifying to enable
+ or disable caching of results. If you will use the same
+ {{{rrule}}} instance multiple times, enabling caching will
+ improve the performance considerably.
+
+ dtstart::
+ The recurrence start. Besides being the base for the
+ recurrence, missing parameters in the final recurrence
+ instances will also be extracted from this date. If not
+ given, {{{datetime.now()}}} will be used instead.
+
+ interval::
+ The interval between each {{{freq}}} iteration. For example,
+ when using {{{YEARLY}}}, an inter...
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