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officereso 2021-01-24 15:39:47 -06:00
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.idea/encodings.xml generated
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<?xml version="1.0" encoding="UTF-8"?>
<project version="4">
<component name="Encoding" addBOMForNewFiles="with NO BOM" />
<component name="Encoding">
<file url="file://$PROJECT_DIR$/save.p" charset="windows-1252" />
</component>
</project>

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scr/McRoll-reactions Normal file
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246
scr/Modules/TMC/McRoll.py
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import asyncio
import collections
from typing import Union
import discord
from discord.ext import commands
import math
from datetime import datetime, timedelta
import discord
import pymysql
from discord.ext import commands
from apscheduler.schedulers.asyncio import AsyncIOScheduler
password = open("../sqlPass.txt", 'r').read()
scheduler = AsyncIOScheduler({
'apscheduler.jobstores.default': {
'type': 'sqlalchemy',
'url': f'mysql+pymysql://Quentin:{password}@192.168.1.52:5618/discord_bot?charset=utf8mb4',
},
'apscheduler.job_defaults.coalesce': 'True',
'apscheduler.timezone': 'America/Chicago'
})
scheduler.start()
mcSelf = None
# password = open("../../../sqlPass.txt", 'r')
def get_con():
def get_con() -> pymysql.Connection:
return pymysql.connect(host='192.168.1.52',
port=5618,
user='Quentin',
password='kaPl0wskii',
password=f'{password}',
db='mc',
charset='utf8mb4',
cursorclass=pymysql.cursors.DictCursor)
async def get_poll_results(choices: dict, pollMessageId: int, channelId: int):
print("run")
getPollResultsReactions = (await McRoll.get_message(mcSelf, pollMessageId, channelId)).reactions
for reaction in getPollResultsReactions:
async for user in reaction.users():
serverIP = reaction_to_serverip(reaction)
if not user.bot:
choices[serverIP]['votes'] = choices[serverIP]['votes'] + 1
choices[serverIP]['score'] = choices[serverIP]['votes'] * round(
2 * math.log10(choices[serverIP]['lastActivated'] + 1) + 1, 2)
prune_results(choices)
if len(choices) >= 3:
await McRoll.main_poll_recursion(mcSelf, choices, channelId)
else:
await McRoll.declare_winner(mcSelf, choices, channelId)
def reaction_to_serverip(reaction: Union[discord.Reaction, str]) -> int:
con = get_con()
reaction = str(reaction.emoji.id) \
if isinstance(reaction.emoji, discord.Emoji) else reaction.emoji.encode('unicode_escape').decode('utf-8')
with con.cursor() as cursor:
cursor.execute("SELECT serverIP FROM mc.server_list WHERE reaction=%s;", reaction)
serverIp = cursor.fetchone()
con.close()
return serverIp['serverIP']
def get_choices() -> dict:
con = get_con()
choices = {}
with con.cursor() as cursor:
cursor.execute("SELECT serverIP, serverName, lastActivated, reaction, getEmoji "
"FROM mc.server_list WHERE lastActivated is not null")
row = cursor.fetchone()
while row is not None:
row['votes'] = 0
row['score'] = 0
choices[row['serverIP']] = row
row = cursor.fetchone()
con.close()
return choices
def pop_lowest(choices: dict):
lowest = {'score': 10}
pop = False
for choice in list(choices):
if choices[choice]['score'] < lowest['score']:
lowest = choices[choice]
pop = True
if pop:
choices.pop(lowest['serverIP'])
def prune_results(choices: dict):
for serverIp, choice in list(choices.items()):
if choice['votes'] <= 0:
del choices[serverIp]
if len(choices) >= 4:
pop_lowest(choices)
pop_lowest(choices)
elif len(choices) == 3:
pop_lowest(choices)
class McRoll(commands.Cog):
def __init__(self, client):
self.client = client
self.currentPoll = None
self.embedInfo = """Each server has a multiplier based on how long it has been sense that server has been rolled.
When this poll is over all servers with 0 votes will be disregarded.
If there are 4 or more servers left the two with the lowest votes will be disregarded.
Poll is rerun until there are only 2 servers, these two are the winners. Ties reroll the poll.
You can only vote for one server per poll. """
self.embedInfo = """Each server has a multiplier based on how long it has been sense that server has been
rolled. When this poll is over all servers with 0 votes will be disregarded. If there are 4 or more servers
left the two with the lowest votes will be disregarded. Poll is rerun until there are only 2 servers,
these two are the winners. Ties reroll the poll. You can only vote for one server per poll. """
self.pollMessageId = None
global mcSelf
mcSelf = self # This is a bad way of doing things but it works
@commands.command()
async def mc_roll(self, ctx):
if ctx.message.author.id != 305589587215122432:
return
choices = get_choices()
await self.main_poll_recursion(choices, ctx.channel.id)
async def start_poll(self, ctx, choices):
embed = discord.Embed(title="Poll", description=self.embedInfo, timestamp=datetime.now() + timedelta(hours=12))
for choice in choices.items():
choice = choice[1]
embed.add_field(
name=choice['serverName'] + ' ' + (str(self.client.get_emoji(int(choice['reaction'])))
if choice['getEmoji']
else bytes(choice['reaction'], "utf-8").decode("unicode_escape")),
value="Multiplier : " + str(round(2 * math.log10(choice['lastActivated'] + 1) + 1, 2)) + '\n' +
"Last Rolled : " + str(choice['lastActivated'] * 2) + " weeks ago.")
self.currentPoll = await ctx.channel.send(embed=embed)
await ctx.channel.send("@everyone")
for choice in choices.items():
choice = choice[1]
await self.currentPoll.add_reaction(self.client.get_emoji(int(choice['reaction']))
if choice['getEmoji']
else bytes(choice['reaction'], "utf-8").decode("unicode_escape"))
await asyncio.sleep(43200)
for reaction in self.currentPoll.reactions:
async for user in reaction.users():
serverIp = self.reaction_to_serverip(reaction)
if user.id != 533427166193385494:
choices[serverIp]['votes'] = choices[serverIp]['votes'] + 1
choices[serverIp]['score'] = choices[serverIp]['votes'] * round(
2 * math.log10(choices[serverIp]['lastActivated'] + 1) + 1, 2)
for choice in list(choices):
if choices[choice]['score'] <= 0:
choices.pop(choice)
continue
if len(choices) >= 4:
choices = self.pop_lowest(choices)
choices = self.pop_lowest(choices)
elif len(choices) == 3:
choices = self.pop_lowest(choices)
return choices
def pop_lowest(self, choices):
lowest = {'score': 10}
pop = False
for choice in list(choices):
if choices[choice]['score'] < lowest['score']:
lowest = choices[choice]
pop = True
if pop:
choices.pop(lowest['serverIP'])
return choices
def reaction_to_serverip(self, reaction):
con = get_con()
escapedReaction = reaction.emoji.encode('unicode_escape').decode('utf-8')
with con.cursor() as cursor:
cursor.execute("SELECT serverIP FROM mc.server_list WHERE reaction=%s;", escapedReaction)
serverIp = cursor.fetchone()
con.close()
return serverIp['serverIP']
async def main_poll_recursion(self, choices, channelId):
self.pollMessageId = (await self.poll(choices, channelId)).id
scheduler.add_job(get_poll_results, 'date',
run_date=(datetime.now() + timedelta(seconds=10)),
args=[choices, self.pollMessageId, channelId],
coalesce=True)
@commands.Cog.listener()
async def on_reaction_add(self, reaction, user):
if self.pollMessageId is None:
return
reactedUsers = {}
if reaction.message.id == self.currentPoll.id and user.id != 533427166193385494:
if reaction.message.id == self.pollMessageId and user.id != 533427166193385494:
for iReaction in reaction.message.reactions:
async for iUser in iReaction.users():
if iUser.id != 533427166193385494:
@ -104,41 +140,37 @@ class McRoll(commands.Cog):
reactedUsers[iUser.id] = False
if reactedUsers[iUser.id]:
await reaction.remove(user)
self.currentPoll = reaction.message
self.pollMessageId = reaction.message.id
await user.send(
"You can only vote for one option, please remove your previous vote to change it.")
return
self.currentPoll = reaction.message
self.pollMessageId = reaction.message.id
reactedUsers[iUser.id] = True
async def poll(self, choices: dict, channel: int) -> discord.Message:
channel = await self.client.fetch_channel(channel)
embed = discord.Embed(title="Poll", description=self.embedInfo, timestamp=(datetime.utcnow() + timedelta(days=1)))
for choice in choices.values():
embed.add_field(
name=choice['serverName'] + ' ' + str(self.client.get_emoji(int(choice['reaction'])))
if choice['getEmoji']
else bytes(choice['reaction'], "utf-8").decode("unicode_escape"),
value="Multiplier : " + str(round(2 * math.log10(choice['lastActivated'] + 1) + 1, 2)) + '\n' +
"Last Rolled : " + str(choice['lastActivated'] * 2) + " weeks ago.")
@commands.command()
async def mc_roll(self, ctx):
if ctx.message.author.id != 305589587215122432:
return
pollMessage = await channel.send(embed=embed)
await channel.send('@everyone')
con = get_con()
with con.cursor() as cursor:
cursor.execute("SELECT serverIP, serverName, lastActivated, reaction, getEmoji "
"FROM mc.server_list WHERE lastActivated is not null")
choices = cursor.fetchall()
con.close()
dictChoices = {}
for choice in choices:
choice['score'] = 0
choice['votes'] = 0
dictChoices[choice['serverIP']] = choice
dictChoices = await self.start_poll(ctx, dictChoices)
while len(dictChoices) > 2:
print(dictChoices)
dictChoices = await self.start_poll(ctx, dictChoices)
for choice in choices.values():
await pollMessage.add_reaction(self.client.get_emoji(int(choice['reaction']))
if choice['getEmoji']
else bytes(choice['reaction'], "utf-8").decode("unicode_escape"))
return pollMessage
async def declare_winner(self, choices, channelId):
embed = discord.Embed(title="Winner", description="Congratulations")
for item in list(dictChoices):
winner = dictChoices[item]
for item in list(choices):
winner = choices[item]
embed.add_field(
name=winner['serverName'],
value="Multiplier : " + str(round(2 * math.log10(winner['lastActivated'] + 1) + 1, 2)) + '\n' +
@ -146,9 +178,13 @@ class McRoll(commands.Cog):
"Votes : " + str(winner['votes']) + '\n' +
"Calculated Votes: " + str(winner['votes'] * round(2 * math.log10(winner['lastActivated'] + 1) + 1, 2))
)
channel = await self.client.fetch_channel(channelId)
await channel.send(embed=embed)
await channel.send("@everyone")
await ctx.channel.send(embed=embed)
await ctx.channel.send("@everyone")
async def get_message(self, messageId, channelId):
channel = await self.client.fetch_channel(channelId)
return await channel.fetch_message(messageId)
def setup(client):

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scr/Modules/TMC/apschedulerTest.py Normal file
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import asyncio
import time
import logging
from datetime import datetime, timedelta, date
from apscheduler.schedulers.asyncio import AsyncIOScheduler
from apscheduler.schedulers.blocking import BlockingScheduler
scheduler = AsyncIOScheduler({
'apscheduler.jobstores.default': {
'type': 'sqlalchemy',
'url': f'mysql+pymysql://Quentin:kaPl0wskii@192.168.1.52:5618/discord_bot?charset=utf8mb4'
},
'apscheduler.executors.default': {
'class': 'apscheduler.executors.pool:ThreadPoolExecutor',
'max_workers': '20'
},
'apscheduler.executors.processpool': {
'type': 'processpool',
'max_workers': '5'
},
'apscheduler.job_defaults.coalesce': 'true',
'apscheduler.job_defaults.max_instances': '3',
'apscheduler.timezone': 'America/Chicago',
})
scheduler.start()
async def hello():
print("hello world")
if __name__ == '__main__':
# scheduler.add_job(hello, 'date', run_date=datetime.now()+timedelta(seconds=20))
try:
asyncio.get_event_loop().run_forever()
except (KeyboardInterrupt, SystemExit):
pass

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venv/Lib/site-packages/APScheduler-3.6.3.dist-info/LICENSE.txt Normal file
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This is the MIT license: http://www.opensource.org/licenses/mit-license.php
Copyright (c) Alex Grönholm
Permission 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:
The above copyright notice and this permission notice shall be included in all copies or
substantial portions of the Software.
THE 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.

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venv/Lib/site-packages/APScheduler-3.6.3.dist-info/METADATA Normal file
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Metadata-Version: 2.1
Name: APScheduler
Version: 3.6.3
Summary: In-process task scheduler with Cron-like capabilities
Home-page: https://github.com/agronholm/apscheduler
Author: Alex Grönholm
Author-email: apscheduler@nextday.fi
License: MIT
Keywords: scheduling cron
Platform: UNKNOWN
Classifier: Development Status :: 5 - Production/Stable
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 2.7
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.4
Classifier: Programming Language :: Python :: 3.5
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Requires-Dist: setuptools (>=0.7)
Requires-Dist: six (>=1.4.0)
Requires-Dist: pytz
Requires-Dist: tzlocal (>=1.2)
Requires-Dist: futures ; python_version == "2.7"
Requires-Dist: funcsigs ; python_version == "2.7"
Provides-Extra: asyncio
Requires-Dist: trollius ; (python_version == "2.7") and extra == 'asyncio'
Provides-Extra: doc
Requires-Dist: sphinx ; extra == 'doc'
Requires-Dist: sphinx-rtd-theme ; extra == 'doc'
Provides-Extra: gevent
Requires-Dist: gevent ; extra == 'gevent'
Provides-Extra: mongodb
Requires-Dist: pymongo (>=2.8) ; extra == 'mongodb'
Provides-Extra: redis
Requires-Dist: redis (>=3.0) ; extra == 'redis'
Provides-Extra: rethinkdb
Requires-Dist: rethinkdb (>=2.4.0) ; extra == 'rethinkdb'
Provides-Extra: sqlalchemy
Requires-Dist: sqlalchemy (>=0.8) ; extra == 'sqlalchemy'
Provides-Extra: testing
Requires-Dist: pytest ; extra == 'testing'
Requires-Dist: pytest-cov ; extra == 'testing'
Requires-Dist: pytest-tornado5 ; extra == 'testing'
Requires-Dist: mock ; (python_version == "2.7") and extra == 'testing'
Requires-Dist: pytest-asyncio (<0.6) ; (python_version == "3.4") and extra == 'testing'
Requires-Dist: pytest-asyncio ; (python_version >= "3.5") and extra == 'testing'
Provides-Extra: tornado
Requires-Dist: tornado (>=4.3) ; extra == 'tornado'
Provides-Extra: twisted
Requires-Dist: twisted ; extra == 'twisted'
Provides-Extra: zookeeper
Requires-Dist: kazoo ; extra == 'zookeeper'
.. image:: https://travis-ci.com/agronholm/apscheduler.svg?branch=master
:target: https://travis-ci.com/agronholm/apscheduler
:alt: Build Status
.. image:: https://coveralls.io/repos/github/agronholm/apscheduler/badge.svg?branch=master
:target: https://coveralls.io/github/agronholm/apscheduler?branch=master
:alt: Code Coverage
Advanced Python Scheduler (APScheduler) is a Python library that lets you schedule your Python code
to be executed later, either just once or periodically. You can add new jobs or remove old ones on
the fly as you please. If you store your jobs in a database, they will also survive scheduler
restarts and maintain their state. When the scheduler is restarted, it will then run all the jobs
it should have run while it was offline [#f1]_.
Among other things, APScheduler can be used as a cross-platform, application specific replacement
to platform specific schedulers, such as the cron daemon or the Windows task scheduler. Please
note, however, that APScheduler is **not** a daemon or service itself, nor does it come with any
command line tools. It is primarily meant to be run inside existing applications. That said,
APScheduler does provide some building blocks for you to build a scheduler service or to run a
dedicated scheduler process.
APScheduler has three built-in scheduling systems you can use:
* Cron-style scheduling (with optional start/end times)
* Interval-based execution (runs jobs on even intervals, with optional start/end times)
* One-off delayed execution (runs jobs once, on a set date/time)
You can mix and match scheduling systems and the backends where the jobs are stored any way you
like. Supported backends for storing jobs include:
* Memory
* `SQLAlchemy <http://www.sqlalchemy.org/>`_ (any RDBMS supported by SQLAlchemy works)
* `MongoDB <http://www.mongodb.org/>`_
* `Redis <http://redis.io/>`_
* `RethinkDB <https://www.rethinkdb.com/>`_
* `ZooKeeper <https://zookeeper.apache.org/>`_
APScheduler also integrates with several common Python frameworks, like:
* `asyncio <http://docs.python.org/3.4/library/asyncio.html>`_ (:pep:`3156`)
* `gevent <http://www.gevent.org/>`_
* `Tornado <http://www.tornadoweb.org/>`_
* `Twisted <http://twistedmatrix.com/>`_
* `Qt <http://qt-project.org/>`_ (using either
`PyQt <http://www.riverbankcomputing.com/software/pyqt/intro>`_ or
`PySide <http://qt-project.org/wiki/PySide>`_)
.. [#f1] The cutoff period for this is also configurable.
Documentation
-------------
Documentation can be found `here <http://readthedocs.org/docs/apscheduler/en/latest/>`_.
Source
------
The source can be browsed at `Github <https://github.com/agronholm/apscheduler>`_.
Reporting bugs
--------------
A `bug tracker <https://github.com/agronholm/apscheduler/issues>`_ is provided by Github.
Getting help
------------
If you have problems or other questions, you can either:
* Ask in the `apscheduler <https://gitter.im/apscheduler/Lobby>`_ room on Gitter
* Ask on the `APScheduler Google group <http://groups.google.com/group/apscheduler>`_, or
* Ask on `StackOverflow <http://stackoverflow.com/questions/tagged/apscheduler>`_ and tag your
question with the ``apscheduler`` tag

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[apscheduler.executors]
asyncio = apscheduler.executors.asyncio:AsyncIOExecutor [asyncio]
debug = apscheduler.executors.debug:DebugExecutor
gevent = apscheduler.executors.gevent:GeventExecutor [gevent]
processpool = apscheduler.executors.pool:ProcessPoolExecutor
threadpool = apscheduler.executors.pool:ThreadPoolExecutor
tornado = apscheduler.executors.tornado:TornadoExecutor [tornado]
twisted = apscheduler.executors.twisted:TwistedExecutor [twisted]
[apscheduler.jobstores]
memory = apscheduler.jobstores.memory:MemoryJobStore
mongodb = apscheduler.jobstores.mongodb:MongoDBJobStore [mongodb]
redis = apscheduler.jobstores.redis:RedisJobStore [redis]
rethinkdb = apscheduler.jobstores.rethinkdb:RethinkDBJobStore [rethinkdb]
sqlalchemy = apscheduler.jobstores.sqlalchemy:SQLAlchemyJobStore [sqlalchemy]
zookeeper = apscheduler.jobstores.zookeeper:ZooKeeperJobStore [zookeeper]
[apscheduler.triggers]
and = apscheduler.triggers.combining:AndTrigger
cron = apscheduler.triggers.cron:CronTrigger
date = apscheduler.triggers.date:DateTrigger
interval = apscheduler.triggers.interval:IntervalTrigger
or = apscheduler.triggers.combining:OrTrigger

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apscheduler

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Copyright 2005-2020 SQLAlchemy authors and contributors <see AUTHORS file>.
Permission 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:
The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.
THE 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.

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Metadata-Version: 2.1
Name: SQLAlchemy
Version: 1.3.22
Summary: Database Abstraction Library
Home-page: http://www.sqlalchemy.org
Author: Mike Bayer
Author-email: mike_mp@zzzcomputing.com
License: MIT
Project-URL: Documentation, https://docs.sqlalchemy.org
Project-URL: Issue Tracker, https://github.com/sqlalchemy/sqlalchemy/
Platform: UNKNOWN
Classifier: Development Status :: 5 - Production/Stable
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 2
Classifier: Programming Language :: Python :: 2.7
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.4
Classifier: Programming Language :: Python :: 3.5
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: Implementation :: CPython
Classifier: Programming Language :: Python :: Implementation :: PyPy
Classifier: Topic :: Database :: Front-Ends
Classifier: Operating System :: OS Independent
Requires-Python: >=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*
Provides-Extra: mssql
Requires-Dist: pyodbc ; extra == 'mssql'
Provides-Extra: mssql_pymssql
Requires-Dist: pymssql ; extra == 'mssql_pymssql'
Provides-Extra: mssql_pyodbc
Requires-Dist: pyodbc ; extra == 'mssql_pyodbc'
Provides-Extra: mysql
Requires-Dist: mysqlclient ; extra == 'mysql'
Provides-Extra: oracle
Requires-Dist: cx-oracle ; extra == 'oracle'
Provides-Extra: postgresql
Requires-Dist: psycopg2 ; extra == 'postgresql'
Provides-Extra: postgresql_pg8000
Requires-Dist: pg8000 ; extra == 'postgresql_pg8000'
Provides-Extra: postgresql_psycopg2binary
Requires-Dist: psycopg2-binary ; extra == 'postgresql_psycopg2binary'
Provides-Extra: postgresql_psycopg2cffi
Requires-Dist: psycopg2cffi ; extra == 'postgresql_psycopg2cffi'
Provides-Extra: pymysql
Requires-Dist: pymysql ; extra == 'pymysql'
SQLAlchemy
==========
|PyPI| |Python| |Downloads|
.. |PyPI| image:: https://img.shields.io/pypi/v/sqlalchemy
:target: https://pypi.org/project/sqlalchemy
:alt: PyPI
.. |Python| image:: https://img.shields.io/pypi/pyversions/sqlalchemy
:target: https://pypi.org/project/sqlalchemy
:alt: PyPI - Python Version
.. |Downloads| image:: https://img.shields.io/pypi/dm/sqlalchemy
:target: https://pypi.org/project/sqlalchemy
:alt: PyPI - Downloads
The Python SQL Toolkit and Object Relational Mapper
Introduction
-------------
SQLAlchemy is the Python SQL toolkit and Object Relational Mapper
that gives application developers the full power and
flexibility of SQL. SQLAlchemy provides a full suite
of well known enterprise-level persistence patterns,
designed for efficient and high-performing database
access, adapted into a simple and Pythonic domain
language.
Major SQLAlchemy features include:
* An industrial strength ORM, built
from the core on the identity map, unit of work,
and data mapper patterns. These patterns
allow transparent persistence of objects
using a declarative configuration system.
Domain models
can be constructed and manipulated naturally,
and changes are synchronized with the
current transaction automatically.
* A relationally-oriented query system, exposing
the full range of SQL's capabilities
explicitly, including joins, subqueries,
correlation, and most everything else,
in terms of the object model.
Writing queries with the ORM uses the same
techniques of relational composition you use
when writing SQL. While you can drop into
literal SQL at any time, it's virtually never
needed.
* A comprehensive and flexible system
of eager loading for related collections and objects.
Collections are cached within a session,
and can be loaded on individual access, all
at once using joins, or by query per collection
across the full result set.
* A Core SQL construction system and DBAPI
interaction layer. The SQLAlchemy Core is
separate from the ORM and is a full database
abstraction layer in its own right, and includes
an extensible Python-based SQL expression
language, schema metadata, connection pooling,
type coercion, and custom types.
* All primary and foreign key constraints are
assumed to be composite and natural. Surrogate
integer primary keys are of course still the
norm, but SQLAlchemy never assumes or hardcodes
to this model.
* Database introspection and generation. Database
schemas can be "reflected" in one step into
Python structures representing database metadata;
those same structures can then generate
CREATE statements right back out - all within
the Core, independent of the ORM.
SQLAlchemy's philosophy:
* SQL databases behave less and less like object
collections the more size and performance start to
matter; object collections behave less and less like
tables and rows the more abstraction starts to matter.
SQLAlchemy aims to accommodate both of these
principles.
* An ORM doesn't need to hide the "R". A relational
database provides rich, set-based functionality
that should be fully exposed. SQLAlchemy's
ORM provides an open-ended set of patterns
that allow a developer to construct a custom
mediation layer between a domain model and
a relational schema, turning the so-called
"object relational impedance" issue into
a distant memory.
* The developer, in all cases, makes all decisions
regarding the design, structure, and naming conventions
of both the object model as well as the relational
schema. SQLAlchemy only provides the means
to automate the execution of these decisions.
* With SQLAlchemy, there's no such thing as
"the ORM generated a bad query" - you
retain full control over the structure of
queries, including how joins are organized,
how subqueries and correlation is used, what
columns are requested. Everything SQLAlchemy
does is ultimately the result of a developer-
initiated decision.
* Don't use an ORM if the problem doesn't need one.
SQLAlchemy consists of a Core and separate ORM
component. The Core offers a full SQL expression
language that allows Pythonic construction
of SQL constructs that render directly to SQL
strings for a target database, returning
result sets that are essentially enhanced DBAPI
cursors.
* Transactions should be the norm. With SQLAlchemy's
ORM, nothing goes to permanent storage until
commit() is called. SQLAlchemy encourages applications
to create a consistent means of delineating
the start and end of a series of operations.
* Never render a literal value in a SQL statement.
Bound parameters are used to the greatest degree
possible, allowing query optimizers to cache
query plans effectively and making SQL injection
attacks a non-issue.
Documentation
-------------
Latest documentation is at:
http://www.sqlalchemy.org/docs/
Installation / Requirements
---------------------------
Full documentation for installation is at
`Installation <http://www.sqlalchemy.org/docs/intro.html#installation>`_.
Getting Help / Development / Bug reporting
------------------------------------------
Please refer to the `SQLAlchemy Community Guide <http://www.sqlalchemy.org/support.html>`_.
Code of Conduct
---------------
Above all, SQLAlchemy places great emphasis on polite, thoughtful, and
constructive communication between users and developers.
Please see our current Code of Conduct at
`Code of Conduct <http://www.sqlalchemy.org/codeofconduct.html>`_.
License
-------
SQLAlchemy is distributed under the `MIT license
<http://www.opensource.org/licenses/mit-license.php>`_.

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0
venv/Lib/site-packages/SQLAlchemy-1.3.22.dist-info/REQUESTED Normal file
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sqlalchemy

4
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Wheel-Version: 1.0
<<<<<<< HEAD:venv/Lib/site-packages/aiohttp-3.6.3.dist-info/WHEEL
Generator: bdist_wheel (0.35.1)
=======
Generator: bdist_wheel (0.36.2)
>>>>>>> origin/rewrite3.0:venv/Lib/site-packages/SQLAlchemy-1.3.22.dist-info/WHEEL
Root-Is-Purelib: false
Tag: cp36-cp36m-win_amd64

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venv/Lib/site-packages/apscheduler/__init__.py Normal file
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from pkg_resources import get_distribution, DistributionNotFound
try:
release = get_distribution('APScheduler').version.split('-')[0]
except DistributionNotFound:
release = '3.5.0'
version_info = tuple(int(x) if x.isdigit() else x for x in release.split('.'))
version = __version__ = '.'.join(str(x) for x in version_info[:3])
del get_distribution, DistributionNotFound

94
venv/Lib/site-packages/apscheduler/events.py Normal file
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__all__ = ('EVENT_SCHEDULER_STARTED', 'EVENT_SCHEDULER_SHUTDOWN', 'EVENT_SCHEDULER_PAUSED',
'EVENT_SCHEDULER_RESUMED', 'EVENT_EXECUTOR_ADDED', 'EVENT_EXECUTOR_REMOVED',
'EVENT_JOBSTORE_ADDED', 'EVENT_JOBSTORE_REMOVED', 'EVENT_ALL_JOBS_REMOVED',
'EVENT_JOB_ADDED', 'EVENT_JOB_REMOVED', 'EVENT_JOB_MODIFIED', 'EVENT_JOB_EXECUTED',
'EVENT_JOB_ERROR', 'EVENT_JOB_MISSED', 'EVENT_JOB_SUBMITTED', 'EVENT_JOB_MAX_INSTANCES',
'SchedulerEvent', 'JobEvent', 'JobExecutionEvent', 'JobSubmissionEvent')
EVENT_SCHEDULER_STARTED = EVENT_SCHEDULER_START = 2 ** 0
EVENT_SCHEDULER_SHUTDOWN = 2 ** 1
EVENT_SCHEDULER_PAUSED = 2 ** 2
EVENT_SCHEDULER_RESUMED = 2 ** 3
EVENT_EXECUTOR_ADDED = 2 ** 4
EVENT_EXECUTOR_REMOVED = 2 ** 5
EVENT_JOBSTORE_ADDED = 2 ** 6
EVENT_JOBSTORE_REMOVED = 2 ** 7
EVENT_ALL_JOBS_REMOVED = 2 ** 8
EVENT_JOB_ADDED = 2 ** 9
EVENT_JOB_REMOVED = 2 ** 10
EVENT_JOB_MODIFIED = 2 ** 11
EVENT_JOB_EXECUTED = 2 ** 12
EVENT_JOB_ERROR = 2 ** 13
EVENT_JOB_MISSED = 2 ** 14
EVENT_JOB_SUBMITTED = 2 ** 15
EVENT_JOB_MAX_INSTANCES = 2 ** 16
EVENT_ALL = (EVENT_SCHEDULER_STARTED | EVENT_SCHEDULER_SHUTDOWN | EVENT_SCHEDULER_PAUSED |
EVENT_SCHEDULER_RESUMED | EVENT_EXECUTOR_ADDED | EVENT_EXECUTOR_REMOVED |
EVENT_JOBSTORE_ADDED | EVENT_JOBSTORE_REMOVED | EVENT_ALL_JOBS_REMOVED |
EVENT_JOB_ADDED | EVENT_JOB_REMOVED | EVENT_JOB_MODIFIED | EVENT_JOB_EXECUTED |
EVENT_JOB_ERROR | EVENT_JOB_MISSED | EVENT_JOB_SUBMITTED | EVENT_JOB_MAX_INSTANCES)
class SchedulerEvent(object):
"""
An event that concerns the scheduler itself.
:ivar code: the type code of this event
:ivar alias: alias of the job store or executor that was added or removed (if applicable)
"""
def __init__(self, code, alias=None):
super(SchedulerEvent, self).__init__()
self.code = code
self.alias = alias
def __repr__(self):
return '<%s (code=%d)>' % (self.__class__.__name__, self.code)
class JobEvent(SchedulerEvent):
"""
An event that concerns a job.
:ivar code: the type code of this event
:ivar job_id: identifier of the job in question
:ivar jobstore: alias of the job store containing the job in question
"""
def __init__(self, code, job_id, jobstore):
super(JobEvent, self).__init__(code)
self.code = code
self.job_id = job_id
self.jobstore = jobstore
class JobSubmissionEvent(JobEvent):
"""
An event that concerns the submission of a job to its executor.
:ivar scheduled_run_times: a list of datetimes when the job was intended to run
"""
def __init__(self, code, job_id, jobstore, scheduled_run_times):
super(JobSubmissionEvent, self).__init__(code, job_id, jobstore)
self.scheduled_run_times = scheduled_run_times
class JobExecutionEvent(JobEvent):
"""
An event that concerns the running of a job within its executor.
:ivar scheduled_run_time: the time when the job was scheduled to be run
:ivar retval: the return value of the successfully executed job
:ivar exception: the exception raised by the job
:ivar traceback: a formatted traceback for the exception
"""
def __init__(self, code, job_id, jobstore, scheduled_run_time, retval=None, exception=None,
traceback=None):
super(JobExecutionEvent, self).__init__(code, job_id, jobstore)
self.scheduled_run_time = scheduled_run_time
self.retval = retval
self.exception = exception
self.traceback = traceback

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venv/Lib/site-packages/apscheduler/executors/__init__.py Normal file
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59
venv/Lib/site-packages/apscheduler/executors/asyncio.py Normal file
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from __future__ import absolute_import
import sys
from apscheduler.executors.base import BaseExecutor, run_job
from apscheduler.util import iscoroutinefunction_partial
try:
from apscheduler.executors.base_py3 import run_coroutine_job
except ImportError:
run_coroutine_job = None
class AsyncIOExecutor(BaseExecutor):
"""
Runs jobs in the default executor of the event loop.
If the job function is a native coroutine function, it is scheduled to be run directly in the
event loop as soon as possible. All other functions are run in the event loop's default
executor which is usually a thread pool.
Plugin alias: ``asyncio``
"""
def start(self, scheduler, alias):
super(AsyncIOExecutor, self).start(scheduler, alias)
self._eventloop = scheduler._eventloop
self._pending_futures = set()
def shutdown(self, wait=True):
# There is no way to honor wait=True without converting this method into a coroutine method
for f in self._pending_futures:
if not f.done():
f.cancel()
self._pending_futures.clear()
def _do_submit_job(self, job, run_times):
def callback(f):
self._pending_futures.discard(f)
try:
events = f.result()
except BaseException:
self._run_job_error(job.id, *sys.exc_info()[1:])
else:
self._run_job_success(job.id, events)
if iscoroutinefunction_partial(job.func):
if run_coroutine_job is not None:
coro = run_coroutine_job(job, job._jobstore_alias, run_times, self._logger.name)
f = self._eventloop.create_task(coro)
else:
raise Exception('Executing coroutine based jobs is not supported with Trollius')
else:
f = self._eventloop.run_in_executor(None, run_job, job, job._jobstore_alias, run_times,
self._logger.name)
f.add_done_callback(callback)
self._pending_futures.add(f)

146
venv/Lib/site-packages/apscheduler/executors/base.py Normal file
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from abc import ABCMeta, abstractmethod
from collections import defaultdict
from datetime import datetime, timedelta
from traceback import format_tb
import logging
import sys
from pytz import utc
import six
from apscheduler.events import (
JobExecutionEvent, EVENT_JOB_MISSED, EVENT_JOB_ERROR, EVENT_JOB_EXECUTED)
class MaxInstancesReachedError(Exception):
def __init__(self, job):
super(MaxInstancesReachedError, self).__init__(
'Job "%s" has already reached its maximum number of instances (%d)' %
(job.id, job.max_instances))
class BaseExecutor(six.with_metaclass(ABCMeta, object)):
"""Abstract base class that defines the interface that every executor must implement."""
_scheduler = None
_lock = None
_logger = logging.getLogger('apscheduler.executors')
def __init__(self):
super(BaseExecutor, self).__init__()
self._instances = defaultdict(lambda: 0)
def start(self, scheduler, alias):
"""
Called by the scheduler when the scheduler is being started or when the executor is being
added to an already running scheduler.
:param apscheduler.schedulers.base.BaseScheduler scheduler: the scheduler that is starting
this executor
:param str|unicode alias: alias of this executor as it was assigned to the scheduler
"""
self._scheduler = scheduler
self._lock = scheduler._create_lock()
self._logger = logging.getLogger('apscheduler.executors.%s' % alias)
def shutdown(self, wait=True):
"""
Shuts down this executor.
:param bool wait: ``True`` to wait until all submitted jobs
have been executed
"""
def submit_job(self, job, run_times):
"""
Submits job for execution.
:param Job job: job to execute
:param list[datetime] run_times: list of datetimes specifying
when the job should have been run
:raises MaxInstancesReachedError: if the maximum number of
allowed instances for this job has been reached
"""
assert self._lock is not None, 'This executor has not been started yet'
with self._lock:
if self._instances[job.id] >= job.max_instances:
raise MaxInstancesReachedError(job)
self._do_submit_job(job, run_times)
self._instances[job.id] += 1
@abstractmethod
def _do_submit_job(self, job, run_times):
"""Performs the actual task of scheduling `run_job` to be called."""
def _run_job_success(self, job_id, events):
"""
Called by the executor with the list of generated events when :func:`run_job` has been
successfully called.
"""
with self._lock:
self._instances[job_id] -= 1
if self._instances[job_id] == 0:
del self._instances[job_id]
for event in events:
self._scheduler._dispatch_event(event)
def _run_job_error(self, job_id, exc, traceback=None):
"""Called by the executor with the exception if there is an error calling `run_job`."""
with self._lock:
self._instances[job_id] -= 1
if self._instances[job_id] == 0:
del self._instances[job_id]
exc_info = (exc.__class__, exc, traceback)
self._logger.error('Error running job %s', job_id, exc_info=exc_info)
def run_job(job, jobstore_alias, run_times, logger_name):
"""
Called by executors to run the job. Returns a list of scheduler events to be dispatched by the
scheduler.
"""
events = []
logger = logging.getLogger(logger_name)
for run_time in run_times:
# See if the job missed its run time window, and handle
# possible misfires accordingly
if job.misfire_grace_time is not None:
difference = datetime.now(utc) - run_time
grace_time = timedelta(seconds=job.misfire_grace_time)
if difference > grace_time:
events.append(JobExecutionEvent(EVENT_JOB_MISSED, job.id, jobstore_alias,
run_time))
logger.warning('Run time of job "%s" was missed by %s', job, difference)
continue
logger.info('Running job "%s" (scheduled at %s)', job, run_time)
try:
retval = job.func(*job.args, **job.kwargs)
except BaseException:
exc, tb = sys.exc_info()[1:]
formatted_tb = ''.join(format_tb(tb))
events.append(JobExecutionEvent(EVENT_JOB_ERROR, job.id, jobstore_alias, run_time,
exception=exc, traceback=formatted_tb))
logger.exception('Job "%s" raised an exception', job)
# This is to prevent cyclic references that would lead to memory leaks
if six.PY2:
sys.exc_clear()
del tb
else:
import traceback
traceback.clear_frames(tb)
del tb
else:
events.append(JobExecutionEvent(EVENT_JOB_EXECUTED, job.id, jobstore_alias, run_time,
retval=retval))
logger.info('Job "%s" executed successfully', job)
return events

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import logging
import sys
from datetime import datetime, timedelta
from traceback import format_tb
from pytz import utc
from apscheduler.events import (
JobExecutionEvent, EVENT_JOB_MISSED, EVENT_JOB_ERROR, EVENT_JOB_EXECUTED)
async def run_coroutine_job(job, jobstore_alias, run_times, logger_name):
"""Coroutine version of run_job()."""
events = []
logger = logging.getLogger(logger_name)
for run_time in run_times:
# See if the job missed its run time window, and handle possible misfires accordingly
if job.misfire_grace_time is not None:
difference = datetime.now(utc) - run_time
grace_time = timedelta(seconds=job.misfire_grace_time)
if difference > grace_time:
events.append(JobExecutionEvent(EVENT_JOB_MISSED, job.id, jobstore_alias,
run_time))
logger.warning('Run time of job "%s" was missed by %s', job, difference)
continue
logger.info('Running job "%s" (scheduled at %s)', job, run_time)
try:
retval = await job.func(*job.args, **job.kwargs)
except BaseException:
exc, tb = sys.exc_info()[1:]
formatted_tb = ''.join(format_tb(tb))
events.append(JobExecutionEvent(EVENT_JOB_ERROR, job.id, jobstore_alias, run_time,
exception=exc, traceback=formatted_tb))
logger.exception('Job "%s" raised an exception', job)
else:
events.append(JobExecutionEvent(EVENT_JOB_EXECUTED, job.id, jobstore_alias, run_time,
retval=retval))
logger.info('Job "%s" executed successfully', job)
return events

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import sys
from apscheduler.executors.base import BaseExecutor, run_job
class DebugExecutor(BaseExecutor):
"""
A special executor that executes the target callable directly instead of deferring it to a
thread or process.
Plugin alias: ``debug``
"""
def _do_submit_job(self, job, run_times):
try:
events = run_job(job, job._jobstore_alias, run_times, self._logger.name)
except BaseException:
self._run_job_error(job.id, *sys.exc_info()[1:])
else:
self._run_job_success(job.id, events)

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from __future__ import absolute_import
import sys
from apscheduler.executors.base import BaseExecutor, run_job
try:
import gevent
except ImportError: # pragma: nocover
raise ImportError('GeventExecutor requires gevent installed')
class GeventExecutor(BaseExecutor):
"""
Runs jobs as greenlets.
Plugin alias: ``gevent``
"""
def _do_submit_job(self, job, run_times):
def callback(greenlet):
try:
events = greenlet.get()
except BaseException:
self._run_job_error(job.id, *sys.exc_info()[1:])
else:
self._run_job_success(job.id, events)
gevent.spawn(run_job, job, job._jobstore_alias, run_times, self._logger.name).\
link(callback)

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from abc import abstractmethod
import concurrent.futures
from apscheduler.executors.base import BaseExecutor, run_job
class BasePoolExecutor(BaseExecutor):
@abstractmethod
def __init__(self, pool):
super(BasePoolExecutor, self).__init__()
self._pool = pool
def _do_submit_job(self, job, run_times):
def callback(f):
exc, tb = (f.exception_info() if hasattr(f, 'exception_info') else
(f.exception(), getattr(f.exception(), '__traceback__', None)))
if exc:
self._run_job_error(job.id, exc, tb)
else:
self._run_job_success(job.id, f.result())
f = self._pool.submit(run_job, job, job._jobstore_alias, run_times, self._logger.name)
f.add_done_callback(callback)
def shutdown(self, wait=True):
self._pool.shutdown(wait)
class ThreadPoolExecutor(BasePoolExecutor):
"""
An executor that runs jobs in a concurrent.futures thread pool.
Plugin alias: ``threadpool``
:param max_workers: the maximum number of spawned threads.
"""
def __init__(self, max_workers=10):
pool = concurrent.futures.ThreadPoolExecutor(int(max_workers))
super(ThreadPoolExecutor, self).__init__(pool)
class ProcessPoolExecutor(BasePoolExecutor):
"""
An executor that runs jobs in a concurrent.futures process pool.
Plugin alias: ``processpool``
:param max_workers: the maximum number of spawned processes.
"""
def __init__(self, max_workers=10):
pool = concurrent.futures.ProcessPoolExecutor(int(max_workers))
super(ProcessPoolExecutor, self).__init__(pool)

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from __future__ import absolute_import
import sys
from concurrent.futures import ThreadPoolExecutor
from tornado.gen import convert_yielded
from apscheduler.executors.base import BaseExecutor, run_job
try:
from apscheduler.executors.base_py3 import run_coroutine_job
from apscheduler.util import iscoroutinefunction_partial
except ImportError:
def iscoroutinefunction_partial(func):
return False
class TornadoExecutor(BaseExecutor):
"""
Runs jobs either in a thread pool or directly on the I/O loop.
If the job function is a native coroutine function, it is scheduled to be run directly in the
I/O loop as soon as possible. All other functions are run in a thread pool.
Plugin alias: ``tornado``
:param int max_workers: maximum number of worker threads in the thread pool
"""
def __init__(self, max_workers=10):
super(TornadoExecutor, self).__init__()
self.executor = ThreadPoolExecutor(max_workers)
def start(self, scheduler, alias):
super(TornadoExecutor, self).start(scheduler, alias)
self._ioloop = scheduler._ioloop
def _do_submit_job(self, job, run_times):
def callback(f):
try:
events = f.result()
except BaseException:
self._run_job_error(job.id, *sys.exc_info()[1:])
else:
self._run_job_success(job.id, events)
if iscoroutinefunction_partial(job.func):
f = run_coroutine_job(job, job._jobstore_alias, run_times, self._logger.name)
else:
f = self.executor.submit(run_job, job, job._jobstore_alias, run_times,
self._logger.name)
f = convert_yielded(f)
f.add_done_callback(callback)

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from __future__ import absolute_import
from apscheduler.executors.base import BaseExecutor, run_job
class TwistedExecutor(BaseExecutor):
"""
Runs jobs in the reactor's thread pool.
Plugin alias: ``twisted``
"""
def start(self, scheduler, alias):
super(TwistedExecutor, self).start(scheduler, alias)
self._reactor = scheduler._reactor
def _do_submit_job(self, job, run_times):
def callback(success, result):
if success:
self._run_job_success(job.id, result)
else:
self._run_job_error(job.id, result.value, result.tb)
self._reactor.getThreadPool().callInThreadWithCallback(
callback, run_job, job, job._jobstore_alias, run_times, self._logger.name)

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from inspect import ismethod, isclass
from uuid import uuid4
import six
from apscheduler.triggers.base import BaseTrigger
from apscheduler.util import (
ref_to_obj, obj_to_ref, datetime_repr, repr_escape, get_callable_name, check_callable_args,
convert_to_datetime)
try:
from collections.abc import Iterable, Mapping
except ImportError:
from collections import Iterable, Mapping
class Job(object):
"""
Contains the options given when scheduling callables and its current schedule and other state.
This class should never be instantiated by the user.
:var str id: the unique identifier of this job
:var str name: the description of this job
:var func: the callable to execute
:var tuple|list args: positional arguments to the callable
:var dict kwargs: keyword arguments to the callable
:var bool coalesce: whether to only run the job once when several run times are due
:var trigger: the trigger object that controls the schedule of this job
:var str executor: the name of the executor that will run this job
:var int misfire_grace_time: the time (in seconds) how much this job's execution is allowed to
be late
:var int max_instances: the maximum number of concurrently executing instances allowed for this
job
:var datetime.datetime next_run_time: the next scheduled run time of this job
.. note::
The ``misfire_grace_time`` has some non-obvious effects on job execution. See the
:ref:`missed-job-executions` section in the documentation for an in-depth explanation.
"""
__slots__ = ('_scheduler', '_jobstore_alias', 'id', 'trigger', 'executor', 'func', 'func_ref',
'args', 'kwargs', 'name', 'misfire_grace_time', 'coalesce', 'max_instances',
'next_run_time')
def __init__(self, scheduler, id=None, **kwargs):
super(Job, self).__init__()
self._scheduler = scheduler
self._jobstore_alias = None
self._modify(id=id or uuid4().hex, **kwargs)
def modify(self, **changes):
"""
Makes the given changes to this job and saves it in the associated job store.
Accepted keyword arguments are the same as the variables on this class.
.. seealso:: :meth:`~apscheduler.schedulers.base.BaseScheduler.modify_job`
:return Job: this job instance
"""
self._scheduler.modify_job(self.id, self._jobstore_alias, **changes)
return self
def reschedule(self, trigger, **trigger_args):
"""
Shortcut for switching the trigger on this job.
.. seealso:: :meth:`~apscheduler.schedulers.base.BaseScheduler.reschedule_job`
:return Job: this job instance
"""
self._scheduler.reschedule_job(self.id, self._jobstore_alias, trigger, **trigger_args)
return self
def pause(self):
"""
Temporarily suspend the execution of this job.
.. seealso:: :meth:`~apscheduler.schedulers.base.BaseScheduler.pause_job`
:return Job: this job instance
"""
self._scheduler.pause_job(self.id, self._jobstore_alias)
return self
def resume(self):
"""
Resume the schedule of this job if previously paused.
.. seealso:: :meth:`~apscheduler.schedulers.base.BaseScheduler.resume_job`
:return Job: this job instance
"""
self._scheduler.resume_job(self.id, self._jobstore_alias)
return self
def remove(self):
"""
Unschedules this job and removes it from its associated job store.
.. seealso:: :meth:`~apscheduler.schedulers.base.BaseScheduler.remove_job`
"""
self._scheduler.remove_job(self.id, self._jobstore_alias)
@property
def pending(self):
"""
Returns ``True`` if the referenced job is still waiting to be added to its designated job
store.
"""
return self._jobstore_alias is None
#
# Private API
#
def _get_run_times(self, now):
"""
Computes the scheduled run times between ``next_run_time`` and ``now`` (inclusive).
:type now: datetime.datetime
:rtype: list[datetime.datetime]
"""
run_times = []
next_run_time = self.next_run_time
while next_run_time and next_run_time <= now:
run_times.append(next_run_time)
next_run_time = self.trigger.get_next_fire_time(next_run_time, now)
return run_times
def _modify(self, **changes):
"""
Validates the changes to the Job and makes the modifications if and only if all of them
validate.
"""
approved = {}
if 'id' in changes:
value = changes.pop('id')
if not isinstance(value, six.string_types):
raise TypeError("id must be a nonempty string")
if hasattr(self, 'id'):
raise ValueError('The job ID may not be changed')
approved['id'] = value
if 'func' in changes or 'args' in changes or 'kwargs' in changes:
func = changes.pop('func') if 'func' in changes else self.func
args = changes.pop('args') if 'args' in changes else self.args
kwargs = changes.pop('kwargs') if 'kwargs' in changes else self.kwargs
if isinstance(func, six.string_types):
func_ref = func
func = ref_to_obj(func)
elif callable(func):
try:
func_ref = obj_to_ref(func)
except ValueError:
# If this happens, this Job won't be serializable
func_ref = None
else:
raise TypeError('func must be a callable or a textual reference to one')
if not hasattr(self, 'name') and changes.get('name', None) is None:
changes['name'] = get_callable_name(func)
if isinstance(args, six.string_types) or not isinstance(args, Iterable):
raise TypeError('args must be a non-string iterable')
if isinstance(kwargs, six.string_types) or not isinstance(kwargs, Mapping):
raise TypeError('kwargs must be a dict-like object')
check_callable_args(func, args, kwargs)
approved['func'] = func
approved['func_ref'] = func_ref
approved['args'] = args
approved['kwargs'] = kwargs
if 'name' in changes:
value = changes.pop('name')
if not value or not isinstance(value, six.string_types):
raise TypeError("name must be a nonempty string")
approved['name'] = value
if 'misfire_grace_time' in changes:
value = changes.pop('misfire_grace_time')
if value is not None and (not isinstance(value, six.integer_types) or value <= 0):
raise TypeError('misfire_grace_time must be either None or a positive integer')
approved['misfire_grace_time'] = value
if 'coalesce' in changes:
value = bool(changes.pop('coalesce'))
approved['coalesce'] = value
if 'max_instances' in changes:
value = changes.pop('max_instances')
if not isinstance(value, six.integer_types) or value <= 0:
raise TypeError('max_instances must be a positive integer')
approved['max_instances'] = value
if 'trigger' in changes:
trigger = changes.pop('trigger')
if not isinstance(trigger, BaseTrigger):
raise TypeError('Expected a trigger instance, got %s instead' %
trigger.__class__.__name__)
approved['trigger'] = trigger
if 'executor' in changes:
value = changes.pop('executor')
if not isinstance(value, six.string_types):
raise TypeError('executor must be a string')
approved['executor'] = value
if 'next_run_time' in changes:
value = changes.pop('next_run_time')
approved['next_run_time'] = convert_to_datetime(value, self._scheduler.timezone,
'next_run_time')
if changes:
raise AttributeError('The following are not modifiable attributes of Job: %s' %
', '.join(changes))
for key, value in six.iteritems(approved):
setattr(self, key, value)
def __getstate__(self):
# Don't allow this Job to be serialized if the function reference could not be determined
if not self.func_ref:
raise ValueError(
'This Job cannot be serialized since the reference to its callable (%r) could not '
'be determined. Consider giving a textual reference (module:function name) '
'instead.' % (self.func,))
# Instance methods cannot survive serialization as-is, so store the "self" argument
# explicitly
if ismethod(self.func) and not isclass(self.func.__self__):
args = (self.func.__self__,) + tuple(self.args)
else:
args = self.args
return {
'version': 1,
'id': self.id,
'func': self.func_ref,
'trigger': self.trigger,
'executor': self.executor,
'args': args,
'kwargs': self.kwargs,
'name': self.name,
'misfire_grace_time': self.misfire_grace_time,
'coalesce': self.coalesce,
'max_instances': self.max_instances,
'next_run_time': self.next_run_time
}
def __setstate__(self, state):
if state.get('version', 1) > 1:
raise ValueError('Job has version %s, but only version 1 can be handled' %
state['version'])
self.id = state['id']
self.func_ref = state['func']
self.func = ref_to_obj(self.func_ref)
self.trigger = state['trigger']
self.executor = state['executor']
self.args = state['args']
self.kwargs = state['kwargs']
self.name = state['name']
self.misfire_grace_time = state['misfire_grace_time']
self.coalesce = state['coalesce']
self.max_instances = state['max_instances']
self.next_run_time = state['next_run_time']
def __eq__(self, other):
if isinstance(other, Job):
return self.id == other.id
return NotImplemented
def __repr__(self):
return '<Job (id=%s name=%s)>' % (repr_escape(self.id), repr_escape(self.name))
def __str__(self):
return repr_escape(self.__unicode__())
def __unicode__(self):
if hasattr(self, 'next_run_time'):
status = ('next run at: ' + datetime_repr(self.next_run_time) if
self.next_run_time else 'paused')
else:
status = 'pending'
return u'%s (trigger: %s, %s)' % (self.name, self.trigger, status)

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from abc import ABCMeta, abstractmethod
import logging
import six
class JobLookupError(KeyError):
"""Raised when the job store cannot find a job for update or removal."""
def __init__(self, job_id):
super(JobLookupError, self).__init__(u'No job by the id of %s was found' % job_id)
class ConflictingIdError(KeyError):
"""Raised when the uniqueness of job IDs is being violated."""
def __init__(self, job_id):
super(ConflictingIdError, self).__init__(
u'Job identifier (%s) conflicts with an existing job' % job_id)
class TransientJobError(ValueError):
"""
Raised when an attempt to add transient (with no func_ref) job to a persistent job store is
detected.
"""
def __init__(self, job_id):
super(TransientJobError, self).__init__(
u'Job (%s) cannot be added to this job store because a reference to the callable '
u'could not be determined.' % job_id)
class BaseJobStore(six.with_metaclass(ABCMeta)):
"""Abstract base class that defines the interface that every job store must implement."""
_scheduler = None
_alias = None
_logger = logging.getLogger('apscheduler.jobstores')
def start(self, scheduler, alias):
"""
Called by the scheduler when the scheduler is being started or when the job store is being
added to an already running scheduler.
:param apscheduler.schedulers.base.BaseScheduler scheduler: the scheduler that is starting
this job store
:param str|unicode alias: alias of this job store as it was assigned to the scheduler
"""
self._scheduler = scheduler
self._alias = alias
self._logger = logging.getLogger('apscheduler.jobstores.%s' % alias)
def shutdown(self):
"""Frees any resources still bound to this job store."""
def _fix_paused_jobs_sorting(self, jobs):
for i, job in enumerate(jobs):
if job.next_run_time is not None:
if i > 0:
paused_jobs = jobs[:i]
del jobs[:i]
jobs.extend(paused_jobs)
break
@abstractmethod
def lookup_job(self, job_id):
"""
Returns a specific job, or ``None`` if it isn't found..
The job store is responsible for setting the ``scheduler`` and ``jobstore`` attributes of
the returned job to point to the scheduler and itself, respectively.
:param str|unicode job_id: identifier of the job
:rtype: Job
"""
@abstractmethod
def get_due_jobs(self, now):
"""
Returns the list of jobs that have ``next_run_time`` earlier or equal to ``now``.
The returned jobs must be sorted by next run time (ascending).
:param datetime.datetime now: the current (timezone aware) datetime
:rtype: list[Job]
"""
@abstractmethod
def get_next_run_time(self):
"""
Returns the earliest run time of all the jobs stored in this job store, or ``None`` if
there are no active jobs.
:rtype: datetime.datetime
"""
@abstractmethod
def get_all_jobs(self):
"""
Returns a list of all jobs in this job store.
The returned jobs should be sorted by next run time (ascending).
Paused jobs (next_run_time == None) should be sorted last.
The job store is responsible for setting the ``scheduler`` and ``jobstore`` attributes of
the returned jobs to point to the scheduler and itself, respectively.
:rtype: list[Job]
"""
@abstractmethod
def add_job(self, job):
"""
Adds the given job to this store.
:param Job job: the job to add
:raises ConflictingIdError: if there is another job in this store with the same ID
"""
@abstractmethod
def update_job(self, job):
"""
Replaces the job in the store with the given newer version.
:param Job job: the job to update
:raises JobLookupError: if the job does not exist
"""
@abstractmethod
def remove_job(self, job_id):
"""
Removes the given job from this store.
:param str|unicode job_id: identifier of the job
:raises JobLookupError: if the job does not exist
"""
@abstractmethod
def remove_all_jobs(self):
"""Removes all jobs from this store."""
def __repr__(self):
return '<%s>' % self.__class__.__name__

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from __future__ import absolute_import
from apscheduler.jobstores.base import BaseJobStore, JobLookupError, ConflictingIdError
from apscheduler.util import datetime_to_utc_timestamp
class MemoryJobStore(BaseJobStore):
"""
Stores jobs in an array in RAM. Provides no persistence support.
Plugin alias: ``memory``
"""
def __init__(self):
super(MemoryJobStore, self).__init__()
# list of (job, timestamp), sorted by next_run_time and job id (ascending)
self._jobs = []
self._jobs_index = {} # id -> (job, timestamp) lookup table
def lookup_job(self, job_id):
return self._jobs_index.get(job_id, (None, None))[0]
def get_due_jobs(self, now):
now_timestamp = datetime_to_utc_timestamp(now)
pending = []
for job, timestamp in self._jobs:
if timestamp is None or timestamp > now_timestamp:
break
pending.append(job)
return pending
def get_next_run_time(self):
return self._jobs[0][0].next_run_time if self._jobs else None
def get_all_jobs(self):
return [j[0] for j in self._jobs]
def add_job(self, job):
if job.id in self._jobs_index:
raise ConflictingIdError(job.id)
timestamp = datetime_to_utc_timestamp(job.next_run_time)
index = self._get_job_index(timestamp, job.id)
self._jobs.insert(index, (job, timestamp))
self._jobs_index[job.id] = (job, timestamp)
def update_job(self, job):
old_job, old_timestamp = self._jobs_index.get(job.id, (None, None))
if old_job is None:
raise JobLookupError(job.id)
# If the next run time has not changed, simply replace the job in its present index.
# Otherwise, reinsert the job to the list to preserve the ordering.
old_index = self._get_job_index(old_timestamp, old_job.id)
new_timestamp = datetime_to_utc_timestamp(job.next_run_time)
if old_timestamp == new_timestamp:
self._jobs[old_index] = (job, new_timestamp)
else:
del self._jobs[old_index]
new_index = self._get_job_index(new_timestamp, job.id)
self._jobs.insert(new_index, (job, new_timestamp))
self._jobs_index[old_job.id] = (job, new_timestamp)
def remove_job(self, job_id):
job, timestamp = self._jobs_index.get(job_id, (None, None))
if job is None:
raise JobLookupError(job_id)
index = self._get_job_index(timestamp, job_id)
del self._jobs[index]
del self._jobs_index[job.id]
def remove_all_jobs(self):
self._jobs = []
self._jobs_index = {}
def shutdown(self):
self.remove_all_jobs()
def _get_job_index(self, timestamp, job_id):
"""
Returns the index of the given job, or if it's not found, the index where the job should be
inserted based on the given timestamp.
:type timestamp: int
:type job_id: str
"""
lo, hi = 0, len(self._jobs)
timestamp = float('inf') if timestamp is None else timestamp
while lo < hi:
mid = (lo + hi) // 2
mid_job, mid_timestamp = self._jobs[mid]
mid_timestamp = float('inf') if mid_timestamp is None else mid_timestamp
if mid_timestamp > timestamp:
hi = mid
elif mid_timestamp < timestamp:
lo = mid + 1
elif mid_job.id > job_id:
hi = mid
elif mid_job.id < job_id:
lo = mid + 1
else:
return mid
return lo

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venv/Lib/site-packages/apscheduler/jobstores/mongodb.py Normal file
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from __future__ import absolute_import
import warnings
from apscheduler.jobstores.base import BaseJobStore, JobLookupError, ConflictingIdError
from apscheduler.util import maybe_ref, datetime_to_utc_timestamp, utc_timestamp_to_datetime
from apscheduler.job import Job
try:
import cPickle as pickle
except ImportError: # pragma: nocover
import pickle
try:
from bson.binary import Binary
from pymongo.errors import DuplicateKeyError
from pymongo import MongoClient, ASCENDING
except ImportError: # pragma: nocover
raise ImportError('MongoDBJobStore requires PyMongo installed')
class MongoDBJobStore(BaseJobStore):
"""
Stores jobs in a MongoDB database. Any leftover keyword arguments are directly passed to
pymongo's `MongoClient
<http://api.mongodb.org/python/current/api/pymongo/mongo_client.html#pymongo.mongo_client.MongoClient>`_.
Plugin alias: ``mongodb``
:param str database: database to store jobs in
:param str collection: collection to store jobs in
:param client: a :class:`~pymongo.mongo_client.MongoClient` instance to use instead of
providing connection arguments
:param int pickle_protocol: pickle protocol level to use (for serialization), defaults to the
highest available
"""
def __init__(self, database='apscheduler', collection='jobs', client=None,
pickle_protocol=pickle.HIGHEST_PROTOCOL, **connect_args):
super(MongoDBJobStore, self).__init__()
self.pickle_protocol = pickle_protocol
if not database:
raise ValueError('The "database" parameter must not be empty')
if not collection:
raise ValueError('The "collection" parameter must not be empty')
if client:
self.client = maybe_ref(client)
else:
connect_args.setdefault('w', 1)
self.client = MongoClient(**connect_args)
self.collection = self.client[database][collection]
def start(self, scheduler, alias):
super(MongoDBJobStore, self).start(scheduler, alias)
self.collection.ensure_index('next_run_time', sparse=True)
@property
def connection(self):
warnings.warn('The "connection" member is deprecated -- use "client" instead',
DeprecationWarning)
return self.client
def lookup_job(self, job_id):
document = self.collection.find_one(job_id, ['job_state'])
return self._reconstitute_job(document['job_state']) if document else None
def get_due_jobs(self, now):
timestamp = datetime_to_utc_timestamp(now)
return self._get_jobs({'next_run_time': {'$lte': timestamp}})
def get_next_run_time(self):
document = self.collection.find_one({'next_run_time': {'$ne': None}},
projection=['next_run_time'],
sort=[('next_run_time', ASCENDING)])
return utc_timestamp_to_datetime(document['next_run_time']) if document else None
def get_all_jobs(self):
jobs = self._get_jobs({})
self._fix_paused_jobs_sorting(jobs)
return jobs
def add_job(self, job):
try:
self.collection.insert({
'_id': job.id,
'next_run_time': datetime_to_utc_timestamp(job.next_run_time),
'job_state': Binary(pickle.dumps(job.__getstate__(), self.pickle_protocol))
})
except DuplicateKeyError:
raise ConflictingIdError(job.id)
def update_job(self, job):
changes = {
'next_run_time': datetime_to_utc_timestamp(job.next_run_time),
'job_state': Binary(pickle.dumps(job.__getstate__(), self.pickle_protocol))
}
result = self.collection.update({'_id': job.id}, {'$set': changes})
if result and result['n'] == 0:
raise JobLookupError(job.id)
def remove_job(self, job_id):
result = self.collection.remove(job_id)
if result and result['n'] == 0:
raise JobLookupError(job_id)
def remove_all_jobs(self):
self.collection.remove()
def shutdown(self):
self.client.close()
def _reconstitute_job(self, job_state):
job_state = pickle.loads(job_state)
job = Job.__new__(Job)
job.__setstate__(job_state)
job._scheduler = self._scheduler
job._jobstore_alias = self._alias
return job
def _get_jobs(self, conditions):
jobs = []
failed_job_ids = []
for document in self.collection.find(conditions, ['_id', 'job_state'],
sort=[('next_run_time', ASCENDING)]):
try:
jobs.append(self._reconstitute_job(document['job_state']))
except BaseException:
self._logger.exception('Unable to restore job "%s" -- removing it',
document['_id'])
failed_job_ids.append(document['_id'])
# Remove all the jobs we failed to restore
if failed_job_ids:
self.collection.remove({'_id': {'$in': failed_job_ids}})
return jobs
def __repr__(self):
return '<%s (client=%s)>' % (self.__class__.__name__, self.client)

150
venv/Lib/site-packages/apscheduler/jobstores/redis.py Normal file
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from __future__ import absolute_import
from datetime import datetime
from pytz import utc
import six
from apscheduler.jobstores.base import BaseJobStore, JobLookupError, ConflictingIdError
from apscheduler.util import datetime_to_utc_timestamp, utc_timestamp_to_datetime
from apscheduler.job import Job
try:
import cPickle as pickle
except ImportError: # pragma: nocover
import pickle
try:
from redis import Redis
except ImportError: # pragma: nocover
raise ImportError('RedisJobStore requires redis installed')
class RedisJobStore(BaseJobStore):
"""
Stores jobs in a Redis database. Any leftover keyword arguments are directly passed to redis's
:class:`~redis.StrictRedis`.
Plugin alias: ``redis``
:param int db: the database number to store jobs in
:param str jobs_key: key to store jobs in
:param str run_times_key: key to store the jobs' run times in
:param int pickle_protocol: pickle protocol level to use (for serialization), defaults to the
highest available
"""
def __init__(self, db=0, jobs_key='apscheduler.jobs', run_times_key='apscheduler.run_times',
pickle_protocol=pickle.HIGHEST_PROTOCOL, **connect_args):
super(RedisJobStore, self).__init__()
if db is None:
raise ValueError('The "db" parameter must not be empty')
if not jobs_key:
raise ValueError('The "jobs_key" parameter must not be empty')
if not run_times_key:
raise ValueError('The "run_times_key" parameter must not be empty')
self.pickle_protocol = pickle_protocol
self.jobs_key = jobs_key
self.run_times_key = run_times_key
self.redis = Redis(db=int(db), **connect_args)
def lookup_job(self, job_id):
job_state = self.redis.hget(self.jobs_key, job_id)
return self._reconstitute_job(job_state) if job_state else None
def get_due_jobs(self, now):
timestamp = datetime_to_utc_timestamp(now)
job_ids = self.redis.zrangebyscore(self.run_times_key, 0, timestamp)
if job_ids:
job_states = self.redis.hmget(self.jobs_key, *job_ids)
return self._reconstitute_jobs(six.moves.zip(job_ids, job_states))
return []
def get_next_run_time(self):
next_run_time = self.redis.zrange(self.run_times_key, 0, 0, withscores=True)
if next_run_time:
return utc_timestamp_to_datetime(next_run_time[0][1])
def get_all_jobs(self):
job_states = self.redis.hgetall(self.jobs_key)
jobs = self._reconstitute_jobs(six.iteritems(job_states))
paused_sort_key = datetime(9999, 12, 31, tzinfo=utc)
return sorted(jobs, key=lambda job: job.next_run_time or paused_sort_key)
def add_job(self, job):
if self.redis.hexists(self.jobs_key, job.id):
raise ConflictingIdError(job.id)
with self.redis.pipeline() as pipe:
pipe.multi()
pipe.hset(self.jobs_key, job.id, pickle.dumps(job.__getstate__(),
self.pickle_protocol))
if job.next_run_time:
pipe.zadd(self.run_times_key,
{job.id: datetime_to_utc_timestamp(job.next_run_time)})
pipe.execute()
def update_job(self, job):
if not self.redis.hexists(self.jobs_key, job.id):
raise JobLookupError(job.id)
with self.redis.pipeline() as pipe:
pipe.hset(self.jobs_key, job.id, pickle.dumps(job.__getstate__(),
self.pickle_protocol))
if job.next_run_time:
pipe.zadd(self.run_times_key,
{job.id: datetime_to_utc_timestamp(job.next_run_time)})
else:
pipe.zrem(self.run_times_key, job.id)
pipe.execute()
def remove_job(self, job_id):
if not self.redis.hexists(self.jobs_key, job_id):
raise JobLookupError(job_id)
with self.redis.pipeline() as pipe:
pipe.hdel(self.jobs_key, job_id)
pipe.zrem(self.run_times_key, job_id)
pipe.execute()
def remove_all_jobs(self):
with self.redis.pipeline() as pipe:
pipe.delete(self.jobs_key)
pipe.delete(self.run_times_key)
pipe.execute()
def shutdown(self):
self.redis.connection_pool.disconnect()
def _reconstitute_job(self, job_state):
job_state = pickle.loads(job_state)
job = Job.__new__(Job)
job.__setstate__(job_state)
job._scheduler = self._scheduler
job._jobstore_alias = self._alias
return job
def _reconstitute_jobs(self, job_states):
jobs = []
failed_job_ids = []
for job_id, job_state in job_states:
try:
jobs.append(self._reconstitute_job(job_state))
except BaseException:
self._logger.exception('Unable to restore job "%s" -- removing it', job_id)
failed_job_ids.append(job_id)
# Remove all the jobs we failed to restore
if failed_job_ids:
with self.redis.pipeline() as pipe:
pipe.hdel(self.jobs_key, *failed_job_ids)
pipe.zrem(self.run_times_key, *failed_job_ids)
pipe.execute()
return jobs
def __repr__(self):
return '<%s>' % self.__class__.__name__

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venv/Lib/site-packages/apscheduler/jobstores/rethinkdb.py Normal file
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from __future__ import absolute_import
from apscheduler.jobstores.base import BaseJobStore, JobLookupError, ConflictingIdError
from apscheduler.util import maybe_ref, datetime_to_utc_timestamp, utc_timestamp_to_datetime
from apscheduler.job import Job
try:
import cPickle as pickle
except ImportError: # pragma: nocover
import pickle
try:
from rethinkdb import RethinkDB
except ImportError: # pragma: nocover
raise ImportError('RethinkDBJobStore requires rethinkdb installed')
class RethinkDBJobStore(BaseJobStore):
"""
Stores jobs in a RethinkDB database. Any leftover keyword arguments are directly passed to
rethinkdb's `RethinkdbClient <http://www.rethinkdb.com/api/#connect>`_.
Plugin alias: ``rethinkdb``
:param str database: database to store jobs in
:param str collection: collection to store jobs in
:param client: a :class:`rethinkdb.net.Connection` instance to use instead of providing
connection arguments
:param int pickle_protocol: pickle protocol level to use (for serialization), defaults to the
highest available
"""
def __init__(self, database='apscheduler', table='jobs', client=None,
pickle_protocol=pickle.HIGHEST_PROTOCOL, **connect_args):
super(RethinkDBJobStore, self).__init__()
if not database:
raise ValueError('The "database" parameter must not be empty')
if not table:
raise ValueError('The "table" parameter must not be empty')
self.database = database
self.table_name = table
self.table = None
self.client = client
self.pickle_protocol = pickle_protocol
self.connect_args = connect_args
self.r = RethinkDB()
self.conn = None
def start(self, scheduler, alias):
super(RethinkDBJobStore, self).start(scheduler, alias)
if self.client:
self.conn = maybe_ref(self.client)
else:
self.conn = self.r.connect(db=self.database, **self.connect_args)
if self.database not in self.r.db_list().run(self.conn):
self.r.db_create(self.database).run(self.conn)
if self.table_name not in self.r.table_list().run(self.conn):
self.r.table_create(self.table_name).run(self.conn)
if 'next_run_time' not in self.r.table(self.table_name).index_list().run(self.conn):
self.r.table(self.table_name).index_create('next_run_time').run(self.conn)
self.table = self.r.db(self.database).table(self.table_name)
def lookup_job(self, job_id):
results = list(self.table.get_all(job_id).pluck('job_state').run(self.conn))
return self._reconstitute_job(results[0]['job_state']) if results else None
def get_due_jobs(self, now):
return self._get_jobs(self.r.row['next_run_time'] <= datetime_to_utc_timestamp(now))
def get_next_run_time(self):
results = list(
self.table
.filter(self.r.row['next_run_time'] != None) # noqa
.order_by(self.r.asc('next_run_time'))
.map(lambda x: x['next_run_time'])
.limit(1)
.run(self.conn)
)
return utc_timestamp_to_datetime(results[0]) if results else None
def get_all_jobs(self):
jobs = self._get_jobs()
self._fix_paused_jobs_sorting(jobs)
return jobs
def add_job(self, job):
job_dict = {
'id': job.id,
'next_run_time': datetime_to_utc_timestamp(job.next_run_time),
'job_state': self.r.binary(pickle.dumps(job.__getstate__(), self.pickle_protocol))
}
results = self.table.insert(job_dict).run(self.conn)
if results['errors'] > 0:
raise ConflictingIdError(job.id)
def update_job(self, job):
changes = {
'next_run_time': datetime_to_utc_timestamp(job.next_run_time),
'job_state': self.r.binary(pickle.dumps(job.__getstate__(), self.pickle_protocol))
}
results = self.table.get_all(job.id).update(changes).run(self.conn)
skipped = False in map(lambda x: results[x] == 0, results.keys())
if results['skipped'] > 0 or results['errors'] > 0 or not skipped:
raise JobLookupError(job.id)
def remove_job(self, job_id):
results = self.table.get_all(job_id).delete().run(self.conn)
if results['deleted'] + results['skipped'] != 1:
raise JobLookupError(job_id)
def remove_all_jobs(self):
self.table.delete().run(self.conn)
def shutdown(self):
self.conn.close()
def _reconstitute_job(self, job_state):
job_state = pickle.loads(job_state)
job = Job.__new__(Job)
job.__setstate__(job_state)
job._scheduler = self._scheduler
job._jobstore_alias = self._alias
return job
def _get_jobs(self, predicate=None):
jobs = []
failed_job_ids = []
query = (self.table.filter(self.r.row['next_run_time'] != None).filter(predicate) # noqa
if predicate else self.table)
query = query.order_by('next_run_time', 'id').pluck('id', 'job_state')
for document in query.run(self.conn):
try:
jobs.append(self._reconstitute_job(document['job_state']))
except Exception:
self._logger.exception('Unable to restore job "%s" -- removing it', document['id'])
failed_job_ids.append(document['id'])
# Remove all the jobs we failed to restore
if failed_job_ids:
self.r.expr(failed_job_ids).for_each(
lambda job_id: self.table.get_all(job_id).delete()).run(self.conn)
return jobs
def __repr__(self):
connection = self.conn
return '<%s (connection=%s)>' % (self.__class__.__name__, connection)

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venv/Lib/site-packages/apscheduler/jobstores/sqlalchemy.py Normal file
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from __future__ import absolute_import
from apscheduler.jobstores.base import BaseJobStore, JobLookupError, ConflictingIdError
from apscheduler.util import maybe_ref, datetime_to_utc_timestamp, utc_timestamp_to_datetime
from apscheduler.job import Job
try:
import cPickle as pickle
except ImportError: # pragma: nocover
import pickle
try:
from sqlalchemy import (
create_engine, Table, Column, MetaData, Unicode, Float, LargeBinary, select)
from sqlalchemy.exc import IntegrityError
from sqlalchemy.sql.expression import null
except ImportError: # pragma: nocover
raise ImportError('SQLAlchemyJobStore requires SQLAlchemy installed')
class SQLAlchemyJobStore(BaseJobStore):
"""
Stores jobs in a database table using SQLAlchemy.
The table will be created if it doesn't exist in the database.
Plugin alias: ``sqlalchemy``
:param str url: connection string (see
:ref:`SQLAlchemy documentation <sqlalchemy:database_urls>` on this)
:param engine: an SQLAlchemy :class:`~sqlalchemy.engine.Engine` to use instead of creating a
new one based on ``url``
:param str tablename: name of the table to store jobs in
:param metadata: a :class:`~sqlalchemy.schema.MetaData` instance to use instead of creating a
new one
:param int pickle_protocol: pickle protocol level to use (for serialization), defaults to the
highest available
:param str tableschema: name of the (existing) schema in the target database where the table
should be
:param dict engine_options: keyword arguments to :func:`~sqlalchemy.create_engine`
(ignored if ``engine`` is given)
"""
def __init__(self, url=None, engine=None, tablename='apscheduler_jobs', metadata=None,
pickle_protocol=pickle.HIGHEST_PROTOCOL, tableschema=None, engine_options=None):
super(SQLAlchemyJobStore, self).__init__()
self.pickle_protocol = pickle_protocol
metadata = maybe_ref(metadata) or MetaData()
if engine:
self.engine = maybe_ref(engine)
elif url:
self.engine = create_engine(url, **(engine_options or {}))
else:
raise ValueError('Need either "engine" or "url" defined')
# 191 = max key length in MySQL for InnoDB/utf8mb4 tables,
# 25 = precision that translates to an 8-byte float
self.jobs_t = Table(
tablename, metadata,
Column('id', Unicode(191, _warn_on_bytestring=False), primary_key=True),
Column('next_run_time', Float(25), index=True),
Column('job_state', LargeBinary, nullable=False),
schema=tableschema
)
def start(self, scheduler, alias):
super(SQLAlchemyJobStore, self).start(scheduler, alias)
self.jobs_t.create(self.engine, True)
def lookup_job(self, job_id):
selectable = select([self.jobs_t.c.job_state]).where(self.jobs_t.c.id == job_id)
job_state = self.engine.execute(selectable).scalar()
return self._reconstitute_job(job_state) if job_state else None
def get_due_jobs(self, now):
timestamp = datetime_to_utc_timestamp(now)
return self._get_jobs(self.jobs_t.c.next_run_time <= timestamp)
def get_next_run_time(self):
selectable = select([self.jobs_t.c.next_run_time]).\
where(self.jobs_t.c.next_run_time != null()).\
order_by(self.jobs_t.c.next_run_time).limit(1)
next_run_time = self.engine.execute(selectable).scalar()
return utc_timestamp_to_datetime(next_run_time)
def get_all_jobs(self):
jobs = self._get_jobs()
self._fix_paused_jobs_sorting(jobs)
return jobs
def add_job(self, job):
insert = self.jobs_t.insert().values(**{
'id': job.id,
'next_run_time': datetime_to_utc_timestamp(job.next_run_time),
'job_state': pickle.dumps(job.__getstate__(), self.pickle_protocol)
})
try:
self.engine.execute(insert)
except IntegrityError:
raise ConflictingIdError(job.id)
def update_job(self, job):
update = self.jobs_t.update().values(**{
'next_run_time': datetime_to_utc_timestamp(job.next_run_time),
'job_state': pickle.dumps(job.__getstate__(), self.pickle_protocol)
}).where(self.jobs_t.c.id == job.id)
result = self.engine.execute(update)
if result.rowcount == 0:
raise JobLookupError(job.id)
def remove_job(self, job_id):
delete = self.jobs_t.delete().where(self.jobs_t.c.id == job_id)
result = self.engine.execute(delete)
if result.rowcount == 0:
raise JobLookupError(job_id)
def remove_all_jobs(self):
delete = self.jobs_t.delete()
self.engine.execute(delete)
def shutdown(self):
self.engine.dispose()
def _reconstitute_job(self, job_state):
job_state = pickle.loads(job_state)
job_state['jobstore'] = self
job = Job.__new__(Job)
job.__setstate__(job_state)
job._scheduler = self._scheduler
job._jobstore_alias = self._alias
return job
def _get_jobs(self, *conditions):
jobs = []
selectable = select([self.jobs_t.c.id, self.jobs_t.c.job_state]).\
order_by(self.jobs_t.c.next_run_time)
selectable = selectable.where(*conditions) if conditions else selectable
failed_job_ids = set()
for row in self.engine.execute(selectable):
try:
jobs.append(self._reconstitute_job(row.job_state))
except BaseException:
self._logger.exception('Unable to restore job "%s" -- removing it', row.id)
failed_job_ids.add(row.id)
# Remove all the jobs we failed to restore
if failed_job_ids:
delete = self.jobs_t.delete().where(self.jobs_t.c.id.in_(failed_job_ids))
self.engine.execute(delete)
return jobs
def __repr__(self):
return '<%s (url=%s)>' % (self.__class__.__name__, self.engine.url)

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venv/Lib/site-packages/apscheduler/jobstores/zookeeper.py Normal file
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from __future__ import absolute_import
import os
from datetime import datetime
from pytz import utc
from kazoo.exceptions import NoNodeError, NodeExistsError
from apscheduler.jobstores.base import BaseJobStore, JobLookupError, ConflictingIdError
from apscheduler.util import maybe_ref, datetime_to_utc_timestamp, utc_timestamp_to_datetime
from apscheduler.job import Job
try:
import cPickle as pickle
except ImportError: # pragma: nocover
import pickle
try:
from kazoo.client import KazooClient
except ImportError: # pragma: nocover
raise ImportError('ZooKeeperJobStore requires Kazoo installed')
class ZooKeeperJobStore(BaseJobStore):
"""
Stores jobs in a ZooKeeper tree. Any leftover keyword arguments are directly passed to
kazoo's `KazooClient
<http://kazoo.readthedocs.io/en/latest/api/client.html>`_.
Plugin alias: ``zookeeper``
:param str path: path to store jobs in
:param client: a :class:`~kazoo.client.KazooClient` instance to use instead of
providing connection arguments
:param int pickle_protocol: pickle protocol level to use (for serialization), defaults to the
highest available
"""
def __init__(self, path='/apscheduler', client=None, close_connection_on_exit=False,
pickle_protocol=pickle.HIGHEST_PROTOCOL, **connect_args):
super(ZooKeeperJobStore, self).__init__()
self.pickle_protocol = pickle_protocol
self.close_connection_on_exit = close_connection_on_exit
if not path:
raise ValueError('The "path" parameter must not be empty')
self.path = path
if client:
self.client = maybe_ref(client)
else:
self.client = KazooClient(**connect_args)
self._ensured_path = False
def _ensure_paths(self):
if not self._ensured_path:
self.client.ensure_path(self.path)
self._ensured_path = True
def start(self, scheduler, alias):
super(ZooKeeperJobStore, self).start(scheduler, alias)
if not self.client.connected:
self.client.start()
def lookup_job(self, job_id):
self._ensure_paths()
node_path = os.path.join(self.path, job_id)
try:
content, _ = self.client.get(node_path)
doc = pickle.loads(content)
job = self._reconstitute_job(doc['job_state'])
return job
except BaseException:
return None
def get_due_jobs(self, now):
timestamp = datetime_to_utc_timestamp(now)
jobs = [job_def['job'] for job_def in self._get_jobs()
if job_def['next_run_time'] is not None and job_def['next_run_time'] <= timestamp]
return jobs
def get_next_run_time(self):
next_runs = [job_def['next_run_time'] for job_def in self._get_jobs()
if job_def['next_run_time'] is not None]
return utc_timestamp_to_datetime(min(next_runs)) if len(next_runs) > 0 else None
def get_all_jobs(self):
jobs = [job_def['job'] for job_def in self._get_jobs()]
self._fix_paused_jobs_sorting(jobs)
return jobs
def add_job(self, job):
self._ensure_paths()
node_path = os.path.join(self.path, str(job.id))
value = {
'next_run_time': datetime_to_utc_timestamp(job.next_run_time),
'job_state': job.__getstate__()
}
data = pickle.dumps(value, self.pickle_protocol)
try:
self.client.create(node_path, value=data)
except NodeExistsError:
raise ConflictingIdError(job.id)
def update_job(self, job):
self._ensure_paths()
node_path = os.path.join(self.path, str(job.id))
changes = {
'next_run_time': datetime_to_utc_timestamp(job.next_run_time),
'job_state': job.__getstate__()
}
data = pickle.dumps(changes, self.pickle_protocol)
try:
self.client.set(node_path, value=data)
except NoNodeError:
raise JobLookupError(job.id)
def remove_job(self, job_id):
self._ensure_paths()
node_path = os.path.join(self.path, str(job_id))
try:
self.client.delete(node_path)
except NoNodeError:
raise JobLookupError(job_id)
def remove_all_jobs(self):
try:
self.client.delete(self.path, recursive=True)
except NoNodeError:
pass
self._ensured_path = False
def shutdown(self):
if self.close_connection_on_exit:
self.client.stop()
self.client.close()
def _reconstitute_job(self, job_state):
job_state = job_state
job = Job.__new__(Job)
job.__setstate__(job_state)
job._scheduler = self._scheduler
job._jobstore_alias = self._alias
return job
def _get_jobs(self):
self._ensure_paths()
jobs = []
failed_job_ids = []
all_ids = self.client.get_children(self.path)
for node_name in all_ids:
try:
node_path = os.path.join(self.path, node_name)
content, _ = self.client.get(node_path)
doc = pickle.loads(content)
job_def = {
'job_id': node_name,
'next_run_time': doc['next_run_time'] if doc['next_run_time'] else None,
'job_state': doc['job_state'],
'job': self._reconstitute_job(doc['job_state']),
'creation_time': _.ctime
}
jobs.append(job_def)
except BaseException:
self._logger.exception('Unable to restore job "%s" -- removing it' % node_name)
failed_job_ids.append(node_name)
# Remove all the jobs we failed to restore
if failed_job_ids:
for failed_id in failed_job_ids:
self.remove_job(failed_id)
paused_sort_key = datetime(9999, 12, 31, tzinfo=utc)
return sorted(jobs, key=lambda job_def: (job_def['job'].next_run_time or paused_sort_key,
job_def['creation_time']))
def __repr__(self):
self._logger.exception('<%s (client=%s)>' % (self.__class__.__name__, self.client))
return '<%s (client=%s)>' % (self.__class__.__name__, self.client)

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class SchedulerAlreadyRunningError(Exception):
"""Raised when attempting to start or configure the scheduler when it's already running."""
def __str__(self):
return 'Scheduler is already running'
class SchedulerNotRunningError(Exception):
"""Raised when attempting to shutdown the scheduler when it's not running."""
def __str__(self):
return 'Scheduler is not running'

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from __future__ import absolute_import
from functools import wraps, partial
from apscheduler.schedulers.base import BaseScheduler
from apscheduler.util import maybe_ref
try:
import asyncio
except ImportError: # pragma: nocover
try:
import trollius as asyncio
except ImportError:
raise ImportError(
'AsyncIOScheduler requires either Python 3.4 or the asyncio package installed')
def run_in_event_loop(func):
@wraps(func)
def wrapper(self, *args, **kwargs):
wrapped = partial(func, self, *args, **kwargs)
self._eventloop.call_soon_threadsafe(wrapped)
return wrapper
class AsyncIOScheduler(BaseScheduler):
"""
A scheduler that runs on an asyncio (:pep:`3156`) event loop.
The default executor can run jobs based on native coroutines (``async def``).
Extra options:
============== =============================================================
``event_loop`` AsyncIO event loop to use (defaults to the global event loop)
============== =============================================================
"""
_eventloop = None
_timeout = None
@run_in_event_loop
def shutdown(self, wait=True):
super(AsyncIOScheduler, self).shutdown(wait)
self._stop_timer()
def _configure(self, config):
self._eventloop = maybe_ref(config.pop('event_loop', None)) or asyncio.get_event_loop()
super(AsyncIOScheduler, self)._configure(config)
def _start_timer(self, wait_seconds):
self._stop_timer()
if wait_seconds is not None:
self._timeout = self._eventloop.call_later(wait_seconds, self.wakeup)
def _stop_timer(self):
if self._timeout:
self._timeout.cancel()
del self._timeout
@run_in_event_loop
def wakeup(self):
self._stop_timer()
wait_seconds = self._process_jobs()
self._start_timer(wait_seconds)
def _create_default_executor(self):
from apscheduler.executors.asyncio import AsyncIOExecutor
return AsyncIOExecutor()

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from __future__ import absolute_import
from threading import Thread, Event
from apscheduler.schedulers.base import BaseScheduler
from apscheduler.schedulers.blocking import BlockingScheduler
from apscheduler.util import asbool
class BackgroundScheduler(BlockingScheduler):
"""
A scheduler that runs in the background using a separate thread
(:meth:`~apscheduler.schedulers.base.BaseScheduler.start` will return immediately).
Extra options:
========== =============================================================================
``daemon`` Set the ``daemon`` option in the background thread (defaults to ``True``, see
`the documentation
<https://docs.python.org/3.4/library/threading.html#thread-objects>`_
for further details)
========== =============================================================================
"""
_thread = None
def _configure(self, config):
self._daemon = asbool(config.pop('daemon', True))
super(BackgroundScheduler, self)._configure(config)
def start(self, *args, **kwargs):
self._event = Event()
BaseScheduler.start(self, *args, **kwargs)
self._thread = Thread(target=self._main_loop, name='APScheduler')
self._thread.daemon = self._daemon
self._thread.start()
def shutdown(self, *args, **kwargs):
super(BackgroundScheduler, self).shutdown(*args, **kwargs)
self._thread.join()
del self._thread

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from __future__ import absolute_import
from threading import Event
from apscheduler.schedulers.base import BaseScheduler, STATE_STOPPED
from apscheduler.util import TIMEOUT_MAX
class BlockingScheduler(BaseScheduler):
"""
A scheduler that runs in the foreground
(:meth:`~apscheduler.schedulers.base.BaseScheduler.start` will block).
"""
_event = None
def start(self, *args, **kwargs):
self._event = Event()
super(BlockingScheduler, self).start(*args, **kwargs)
self._main_loop()
def shutdown(self, wait=True):
super(BlockingScheduler, self).shutdown(wait)
self._event.set()
def _main_loop(self):
wait_seconds = TIMEOUT_MAX
while self.state != STATE_STOPPED:
self._event.wait(wait_seconds)
self._event.clear()
wait_seconds = self._process_jobs()
def wakeup(self):
self._event.set()

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from __future__ import absolute_import
from apscheduler.schedulers.blocking import BlockingScheduler
from apscheduler.schedulers.base import BaseScheduler
try:
from gevent.event import Event
from gevent.lock import RLock
import gevent
except ImportError: # pragma: nocover
raise ImportError('GeventScheduler requires gevent installed')
class GeventScheduler(BlockingScheduler):
"""A scheduler that runs as a Gevent greenlet."""
_greenlet = None
def start(self, *args, **kwargs):
self._event = Event()
BaseScheduler.start(self, *args, **kwargs)
self._greenlet = gevent.spawn(self._main_loop)
return self._greenlet
def shutdown(self, *args, **kwargs):
super(GeventScheduler, self).shutdown(*args, **kwargs)
self._greenlet.join()
del self._greenlet
def _create_lock(self):
return RLock()
def _create_default_executor(self):
from apscheduler.executors.gevent import GeventExecutor
return GeventExecutor()

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from __future__ import absolute_import
from apscheduler.schedulers.base import BaseScheduler
try:
from PyQt5.QtCore import QObject, QTimer
except (ImportError, RuntimeError): # pragma: nocover
try:
from PyQt4.QtCore import QObject, QTimer
except ImportError:
try:
from PySide.QtCore import QObject, QTimer # noqa
except ImportError:
raise ImportError('QtScheduler requires either PyQt5, PyQt4 or PySide installed')
class QtScheduler(BaseScheduler):
"""A scheduler that runs in a Qt event loop."""
_timer = None
def shutdown(self, *args, **kwargs):
super(QtScheduler, self).shutdown(*args, **kwargs)
self._stop_timer()
def _start_timer(self, wait_seconds):
self._stop_timer()
if wait_seconds is not None:
wait_time = min(wait_seconds * 1000, 2147483647)
self._timer = QTimer.singleShot(wait_time, self._process_jobs)
def _stop_timer(self):
if self._timer:
if self._timer.isActive():
self._timer.stop()
del self._timer
def wakeup(self):
self._start_timer(0)
def _process_jobs(self):
wait_seconds = super(QtScheduler, self)._process_jobs()
self._start_timer(wait_seconds)

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from __future__ import absolute_import
from datetime import timedelta
from functools import wraps
from apscheduler.schedulers.base import BaseScheduler
from apscheduler.util import maybe_ref
try:
from tornado.ioloop import IOLoop
except ImportError: # pragma: nocover
raise ImportError('TornadoScheduler requires tornado installed')
def run_in_ioloop(func):
@wraps(func)
def wrapper(self, *args, **kwargs):
self._ioloop.add_callback(func, self, *args, **kwargs)
return wrapper
class TornadoScheduler(BaseScheduler):
"""
A scheduler that runs on a Tornado IOLoop.
The default executor can run jobs based on native coroutines (``async def``).
=========== ===============================================================
``io_loop`` Tornado IOLoop instance to use (defaults to the global IO loop)
=========== ===============================================================
"""
_ioloop = None
_timeout = None
@run_in_ioloop
def shutdown(self, wait=True):
super(TornadoScheduler, self).shutdown(wait)
self._stop_timer()
def _configure(self, config):
self._ioloop = maybe_ref(config.pop('io_loop', None)) or IOLoop.current()
super(TornadoScheduler, self)._configure(config)
def _start_timer(self, wait_seconds):
self._stop_timer()
if wait_seconds is not None:
self._timeout = self._ioloop.add_timeout(timedelta(seconds=wait_seconds), self.wakeup)
def _stop_timer(self):
if self._timeout:
self._ioloop.remove_timeout(self._timeout)
del self._timeout
def _create_default_executor(self):
from apscheduler.executors.tornado import TornadoExecutor
return TornadoExecutor()
@run_in_ioloop
def wakeup(self):
self._stop_timer()
wait_seconds = self._process_jobs()
self._start_timer(wait_seconds)

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from __future__ import absolute_import
from functools import wraps
from apscheduler.schedulers.base import BaseScheduler
from apscheduler.util import maybe_ref
try:
from twisted.internet import reactor as default_reactor
except ImportError: # pragma: nocover
raise ImportError('TwistedScheduler requires Twisted installed')
def run_in_reactor(func):
@wraps(func)
def wrapper(self, *args, **kwargs):
self._reactor.callFromThread(func, self, *args, **kwargs)
return wrapper
class TwistedScheduler(BaseScheduler):
"""
A scheduler that runs on a Twisted reactor.
Extra options:
=========== ========================================================
``reactor`` Reactor instance to use (defaults to the global reactor)
=========== ========================================================
"""
_reactor = None
_delayedcall = None
def _configure(self, config):
self._reactor = maybe_ref(config.pop('reactor', default_reactor))
super(TwistedScheduler, self)._configure(config)
@run_in_reactor
def shutdown(self, wait=True):
super(TwistedScheduler, self).shutdown(wait)
self._stop_timer()
def _start_timer(self, wait_seconds):
self._stop_timer()
if wait_seconds is not None:
self._delayedcall = self._reactor.callLater(wait_seconds, self.wakeup)
def _stop_timer(self):
if self._delayedcall and self._delayedcall.active():
self._delayedcall.cancel()
del self._delayedcall
@run_in_reactor
def wakeup(self):
self._stop_timer()
wait_seconds = self._process_jobs()
self._start_timer(wait_seconds)
def _create_default_executor(self):
from apscheduler.executors.twisted import TwistedExecutor
return TwistedExecutor()

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venv/Lib/site-packages/apscheduler/triggers/__init__.py Normal file
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from abc import ABCMeta, abstractmethod
from datetime import timedelta
import random
import six
class BaseTrigger(six.with_metaclass(ABCMeta)):
"""Abstract base class that defines the interface that every trigger must implement."""
__slots__ = ()
@abstractmethod
def get_next_fire_time(self, previous_fire_time, now):
"""
Returns the next datetime to fire on, If no such datetime can be calculated, returns
``None``.
:param datetime.datetime previous_fire_time: the previous time the trigger was fired
:param datetime.datetime now: current datetime
"""
def _apply_jitter(self, next_fire_time, jitter, now):
"""
Randomize ``next_fire_time`` by adding or subtracting a random value (the jitter). If the
resulting datetime is in the past, returns the initial ``next_fire_time`` without jitter.
``next_fire_time - jitter <= result <= next_fire_time + jitter``
:param datetime.datetime|None next_fire_time: next fire time without jitter applied. If
``None``, returns ``None``.
:param int|None jitter: maximum number of seconds to add or subtract to
``next_fire_time``. If ``None`` or ``0``, returns ``next_fire_time``
:param datetime.datetime now: current datetime
:return datetime.datetime|None: next fire time with a jitter.
"""
if next_fire_time is None or not jitter:
return next_fire_time
next_fire_time_with_jitter = next_fire_time + timedelta(
seconds=random.uniform(-jitter, jitter))
if next_fire_time_with_jitter < now:
# Next fire time with jitter is in the past.
# Ignore jitter to avoid false misfire.
return next_fire_time
return next_fire_time_with_jitter

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from apscheduler.triggers.base import BaseTrigger
from apscheduler.util import obj_to_ref, ref_to_obj
class BaseCombiningTrigger(BaseTrigger):
__slots__ = ('triggers', 'jitter')
def __init__(self, triggers, jitter=None):
self.triggers = triggers
self.jitter = jitter
def __getstate__(self):
return {
'version': 1,
'triggers': [(obj_to_ref(trigger.__class__), trigger.__getstate__())
for trigger in self.triggers],
'jitter': self.jitter
}
def __setstate__(self, state):
if state.get('version', 1) > 1:
raise ValueError(
'Got serialized data for version %s of %s, but only versions up to 1 can be '
'handled' % (state['version'], self.__class__.__name__))
self.jitter = state['jitter']
self.triggers = []
for clsref, state in state['triggers']:
cls = ref_to_obj(clsref)
trigger = cls.__new__(cls)
trigger.__setstate__(state)
self.triggers.append(trigger)
def __repr__(self):
return '<{}({}{})>'.format(self.__class__.__name__, self.triggers,
', jitter={}'.format(self.jitter) if self.jitter else '')
class AndTrigger(BaseCombiningTrigger):
"""
Always returns the earliest next fire time that all the given triggers can agree on.
The trigger is considered to be finished when any of the given triggers has finished its
schedule.
Trigger alias: ``and``
:param list triggers: triggers to combine
:param int|None jitter: advance or delay the job execution by ``jitter`` seconds at most.
"""
__slots__ = ()
def get_next_fire_time(self, previous_fire_time, now):
while True:
fire_times = [trigger.get_next_fire_time(previous_fire_time, now)
for trigger in self.triggers]
if None in fire_times:
return None
elif min(fire_times) == max(fire_times):
return self._apply_jitter(fire_times[0], self.jitter, now)
else:
now = max(fire_times)
def __str__(self):
return 'and[{}]'.format(', '.join(str(trigger) for trigger in self.triggers))
class OrTrigger(BaseCombiningTrigger):
"""
Always returns the earliest next fire time produced by any of the given triggers.
The trigger is considered finished when all the given triggers have finished their schedules.
Trigger alias: ``or``
:param list triggers: triggers to combine
:param int|None jitter: advance or delay the job execution by ``jitter`` seconds at most.
.. note:: Triggers that depends on the previous fire time, such as the interval trigger, may
seem to behave strangely since they are always passed the previous fire time produced by
any of the given triggers.
"""
__slots__ = ()
def get_next_fire_time(self, previous_fire_time, now):
fire_times = [trigger.get_next_fire_time(previous_fire_time, now)
for trigger in self.triggers]
fire_times = [fire_time for fire_time in fire_times if fire_time is not None]
if fire_times:
return self._apply_jitter(min(fire_times), self.jitter, now)
else:
return None
def __str__(self):
return 'or[{}]'.format(', '.join(str(trigger) for trigger in self.triggers))

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from datetime import datetime, timedelta
from tzlocal import get_localzone
import six
from apscheduler.triggers.base import BaseTrigger
from apscheduler.triggers.cron.fields import (
BaseField, MonthField, WeekField, DayOfMonthField, DayOfWeekField, DEFAULT_VALUES)
from apscheduler.util import datetime_ceil, convert_to_datetime, datetime_repr, astimezone
class CronTrigger(BaseTrigger):
"""
Triggers when current time matches all specified time constraints,
similarly to how the UNIX cron scheduler works.
:param int|str year: 4-digit year
:param int|str month: month (1-12)
:param int|str day: day of the (1-31)
:param int|str week: ISO week (1-53)
:param int|str day_of_week: number or name of weekday (0-6 or mon,tue,wed,thu,fri,sat,sun)
:param int|str hour: hour (0-23)
:param int|str minute: minute (0-59)
:param int|str second: second (0-59)
:param datetime|str start_date: earliest possible date/time to trigger on (inclusive)
:param datetime|str end_date: latest possible date/time to trigger on (inclusive)
:param datetime.tzinfo|str timezone: time zone to use for the date/time calculations (defaults
to scheduler timezone)
:param int|None jitter: advance or delay the job execution by ``jitter`` seconds at most.
.. note:: The first weekday is always **monday**.
"""
FIELD_NAMES = ('year', 'month', 'day', 'week', 'day_of_week', 'hour', 'minute', 'second')
FIELDS_MAP = {
'year': BaseField,
'month': MonthField,
'week': WeekField,
'day': DayOfMonthField,
'day_of_week': DayOfWeekField,
'hour': BaseField,
'minute': BaseField,
'second': BaseField
}
__slots__ = 'timezone', 'start_date', 'end_date', 'fields', 'jitter'
def __init__(self, year=None, month=None, day=None, week=None, day_of_week=None, hour=None,
minute=None, second=None, start_date=None, end_date=None, timezone=None,
jitter=None):
if timezone:
self.timezone = astimezone(timezone)
elif isinstance(start_date, datetime) and start_date.tzinfo:
self.timezone = start_date.tzinfo
elif isinstance(end_date, datetime) and end_date.tzinfo:
self.timezone = end_date.tzinfo
else:
self.timezone = get_localzone()
self.start_date = convert_to_datetime(start_date, self.timezone, 'start_date')
self.end_date = convert_to_datetime(end_date, self.timezone, 'end_date')
self.jitter = jitter
values = dict((key, value) for (key, value) in six.iteritems(locals())
if key in self.FIELD_NAMES and value is not None)
self.fields = []
assign_defaults = False
for field_name in self.FIELD_NAMES:
if field_name in values:
exprs = values.pop(field_name)
is_default = False
assign_defaults = not values
elif assign_defaults:
exprs = DEFAULT_VALUES[field_name]
is_default = True
else:
exprs = '*'
is_default = True
field_class = self.FIELDS_MAP[field_name]
field = field_class(field_name, exprs, is_default)
self.fields.append(field)
@classmethod
def from_crontab(cls, expr, timezone=None):
"""
Create a :class:`~CronTrigger` from a standard crontab expression.
See https://en.wikipedia.org/wiki/Cron for more information on the format accepted here.
:param expr: minute, hour, day of month, month, day of week
:param datetime.tzinfo|str timezone: time zone to use for the date/time calculations (
defaults to scheduler timezone)
:return: a :class:`~CronTrigger` instance
"""
values = expr.split()
if len(values) != 5:
raise ValueError('Wrong number of fields; got {}, expected 5'.format(len(values)))
return cls(minute=values[0], hour=values[1], day=values[2], month=values[3],
day_of_week=values[4], timezone=timezone)
def _increment_field_value(self, dateval, fieldnum):
"""
Increments the designated field and resets all less significant fields to their minimum
values.
:type dateval: datetime
:type fieldnum: int
:return: a tuple containing the new date, and the number of the field that was actually
incremented
:rtype: tuple
"""
values = {}
i = 0
while i < len(self.fields):
field = self.fields[i]
if not field.REAL:
if i == fieldnum:
fieldnum -= 1
i -= 1
else:
i += 1
continue
if i < fieldnum:
values[field.name] = field.get_value(dateval)
i += 1
elif i > fieldnum:
values[field.name] = field.get_min(dateval)
i += 1
else:
value = field.get_value(dateval)
maxval = field.get_max(dateval)
if value == maxval:
fieldnum -= 1
i -= 1
else:
values[field.name] = value + 1
i += 1
difference = datetime(**values) - dateval.replace(tzinfo=None)
return self.timezone.normalize(dateval + difference), fieldnum
def _set_field_value(self, dateval, fieldnum, new_value):
values = {}
for i, field in enumerate(self.fields):
if field.REAL:
if i < fieldnum:
values[field.name] = field.get_value(dateval)
elif i > fieldnum:
values[field.name] = field.get_min(dateval)
else:
values[field.name] = new_value
return self.timezone.localize(datetime(**values))
def get_next_fire_time(self, previous_fire_time, now):
if previous_fire_time:
start_date = min(now, previous_fire_time + timedelta(microseconds=1))
if start_date == previous_fire_time:
start_date += timedelta(microseconds=1)
else:
start_date = max(now, self.start_date) if self.start_date else now
fieldnum = 0
next_date = datetime_ceil(start_date).astimezone(self.timezone)
while 0 <= fieldnum < len(self.fields):
field = self.fields[fieldnum]
curr_value = field.get_value(next_date)
next_value = field.get_next_value(next_date)
if next_value is None:
# No valid value was found
next_date, fieldnum = self._increment_field_value(next_date, fieldnum - 1)
elif next_value > curr_value:
# A valid, but higher than the starting value, was found
if field.REAL:
next_date = self._set_field_value(next_date, fieldnum, next_value)
fieldnum += 1
else:
next_date, fieldnum = self._increment_field_value(next_date, fieldnum)
else:
# A valid value was found, no changes necessary
fieldnum += 1
# Return if the date has rolled past the end date
if self.end_date and next_date > self.end_date:
return None
if fieldnum >= 0:
next_date = self._apply_jitter(next_date, self.jitter, now)
return min(next_date, self.end_date) if self.end_date else next_date
def __getstate__(self):
return {
'version': 2,
'timezone': self.timezone,
'start_date': self.start_date,
'end_date': self.end_date,
'fields': self.fields,
'jitter': self.jitter,
}
def __setstate__(self, state):
# This is for compatibility with APScheduler 3.0.x
if isinstance(state, tuple):
state = state[1]
if state.get('version', 1) > 2:
raise ValueError(
'Got serialized data for version %s of %s, but only versions up to 2 can be '
'handled' % (state['version'], self.__class__.__name__))
self.timezone = state['timezone']
self.start_date = state['start_date']
self.end_date = state['end_date']
self.fields = state['fields']
self.jitter = state.get('jitter')
def __str__(self):
options = ["%s='%s'" % (f.name, f) for f in self.fields if not f.is_default]
return 'cron[%s]' % (', '.join(options))
def __repr__(self):
options = ["%s='%s'" % (f.name, f) for f in self.fields if not f.is_default]
if self.start_date:
options.append("start_date=%r" % datetime_repr(self.start_date))
if self.end_date:
options.append("end_date=%r" % datetime_repr(self.end_date))
if self.jitter:
options.append('jitter=%s' % self.jitter)
return "<%s (%s, timezone='%s')>" % (
self.__class__.__name__, ', '.join(options), self.timezone)

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"""This module contains the expressions applicable for CronTrigger's fields."""
from calendar import monthrange
import re
from apscheduler.util import asint
__all__ = ('AllExpression', 'RangeExpression', 'WeekdayRangeExpression',
'WeekdayPositionExpression', 'LastDayOfMonthExpression')
WEEKDAYS = ['mon', 'tue', 'wed', 'thu', 'fri', 'sat', 'sun']
MONTHS = ['jan', 'feb', 'mar', 'apr', 'may', 'jun', 'jul', 'aug', 'sep', 'oct', 'nov', 'dec']
class AllExpression(object):
value_re = re.compile(r'\*(?:/(?P<step>\d+))?$')
def __init__(self, step=None):
self.step = asint(step)
if self.step == 0:
raise ValueError('Increment must be higher than 0')
def validate_range(self, field_name):
from apscheduler.triggers.cron.fields import MIN_VALUES, MAX_VALUES
value_range = MAX_VALUES[field_name] - MIN_VALUES[field_name]
if self.step and self.step > value_range:
raise ValueError('the step value ({}) is higher than the total range of the '
'expression ({})'.format(self.step, value_range))
def get_next_value(self, date, field):
start = field.get_value(date)
minval = field.get_min(date)
maxval = field.get_max(date)
start = max(start, minval)
if not self.step:
next = start
else:
distance_to_next = (self.step - (start - minval)) % self.step
next = start + distance_to_next
if next <= maxval:
return next
def __eq__(self, other):
return isinstance(other, self.__class__) and self.step == other.step
def __str__(self):
if self.step:
return '*/%d' % self.step
return '*'
def __repr__(self):
return "%s(%s)" % (self.__class__.__name__, self.step)
class RangeExpression(AllExpression):
value_re = re.compile(
r'(?P<first>\d+)(?:-(?P<last>\d+))?(?:/(?P<step>\d+))?$')
def __init__(self, first, last=None, step=None):
super(RangeExpression, self).__init__(step)
first = asint(first)
last = asint(last)
if last is None and step is None:
last = first
if last is not None and first > last:
raise ValueError('The minimum value in a range must not be higher than the maximum')
self.first = first
self.last = last
def validate_range(self, field_name):
from apscheduler.triggers.cron.fields import MIN_VALUES, MAX_VALUES
super(RangeExpression, self).validate_range(field_name)
if self.first < MIN_VALUES[field_name]:
raise ValueError('the first value ({}) is lower than the minimum value ({})'
.format(self.first, MIN_VALUES[field_name]))
if self.last is not None and self.last > MAX_VALUES[field_name]:
raise ValueError('the last value ({}) is higher than the maximum value ({})'
.format(self.last, MAX_VALUES[field_name]))
value_range = (self.last or MAX_VALUES[field_name]) - self.first
if self.step and self.step > value_range:
raise ValueError('the step value ({}) is higher than the total range of the '
'expression ({})'.format(self.step, value_range))
def get_next_value(self, date, field):
startval = field.get_value(date)
minval = field.get_min(date)
maxval = field.get_max(date)
# Apply range limits
minval = max(minval, self.first)
maxval = min(maxval, self.last) if self.last is not None else maxval
nextval = max(minval, startval)
# Apply the step if defined
if self.step:
distance_to_next = (self.step - (nextval - minval)) % self.step
nextval += distance_to_next
return nextval if nextval <= maxval else None
def __eq__(self, other):
return (isinstance(other, self.__class__) and self.first == other.first and
self.last == other.last)
def __str__(self):
if self.last != self.first and self.last is not None:
range = '%d-%d' % (self.first, self.last)
else:
range = str(self.first)
if self.step:
return '%s/%d' % (range, self.step)
return range
def __repr__(self):
args = [str(self.first)]
if self.last != self.first and self.last is not None or self.step:
args.append(str(self.last))
if self.step:
args.append(str(self.step))
return "%s(%s)" % (self.__class__.__name__, ', '.join(args))
class MonthRangeExpression(RangeExpression):
value_re = re.compile(r'(?P<first>[a-z]+)(?:-(?P<last>[a-z]+))?', re.IGNORECASE)
def __init__(self, first, last=None):
try:
first_num = MONTHS.index(first.lower()) + 1
except ValueError:
raise ValueError('Invalid month name "%s"' % first)
if last:
try:
last_num = MONTHS.index(last.lower()) + 1
except ValueError:
raise ValueError('Invalid month name "%s"' % last)
else:
last_num = None
super(MonthRangeExpression, self).__init__(first_num, last_num)
def __str__(self):
if self.last != self.first and self.last is not None:
return '%s-%s' % (MONTHS[self.first - 1], MONTHS[self.last - 1])
return MONTHS[self.first - 1]
def __repr__(self):
args = ["'%s'" % MONTHS[self.first]]
if self.last != self.first and self.last is not None:
args.append("'%s'" % MONTHS[self.last - 1])
return "%s(%s)" % (self.__class__.__name__, ', '.join(args))
class WeekdayRangeExpression(RangeExpression):
value_re = re.compile(r'(?P<first>[a-z]+)(?:-(?P<last>[a-z]+))?', re.IGNORECASE)
def __init__(self, first, last=None):
try:
first_num = WEEKDAYS.index(first.lower())
except ValueError:
raise ValueError('Invalid weekday name "%s"' % first)
if last:
try:
last_num = WEEKDAYS.index(last.lower())
except ValueError:
raise ValueError('Invalid weekday name "%s"' % last)
else:
last_num = None
super(WeekdayRangeExpression, self).__init__(first_num, last_num)
def __str__(self):
if self.last != self.first and self.last is not None:
return '%s-%s' % (WEEKDAYS[self.first], WEEKDAYS[self.last])
return WEEKDAYS[self.first]
def __repr__(self):
args = ["'%s'" % WEEKDAYS[self.first]]
if self.last != self.first and self.last is not None:
args.append("'%s'" % WEEKDAYS[self.last])
return "%s(%s)" % (self.__class__.__name__, ', '.join(args))
class WeekdayPositionExpression(AllExpression):
options = ['1st', '2nd', '3rd', '4th', '5th', 'last']
value_re = re.compile(r'(?P<option_name>%s) +(?P<weekday_name>(?:\d+|\w+))' %
'|'.join(options), re.IGNORECASE)
def __init__(self, option_name, weekday_name):
super(WeekdayPositionExpression, self).__init__(None)
try:
self.option_num = self.options.index(option_name.lower())
except ValueError:
raise ValueError('Invalid weekday position "%s"' % option_name)
try:
self.weekday = WEEKDAYS.index(weekday_name.lower())
except ValueError:
raise ValueError('Invalid weekday name "%s"' % weekday_name)
def get_next_value(self, date, field):
# Figure out the weekday of the month's first day and the number of days in that month
first_day_wday, last_day = monthrange(date.year, date.month)
# Calculate which day of the month is the first of the target weekdays
first_hit_day = self.weekday - first_day_wday + 1
if first_hit_day <= 0:
first_hit_day += 7
# Calculate what day of the month the target weekday would be
if self.option_num < 5:
target_day = first_hit_day + self.option_num * 7
else:
target_day = first_hit_day + ((last_day - first_hit_day) // 7) * 7
if target_day <= last_day and target_day >= date.day:
return target_day
def __eq__(self, other):
return (super(WeekdayPositionExpression, self).__eq__(other) and
self.option_num == other.option_num and self.weekday == other.weekday)
def __str__(self):
return '%s %s' % (self.options[self.option_num], WEEKDAYS[self.weekday])
def __repr__(self):
return "%s('%s', '%s')" % (self.__class__.__name__, self.options[self.option_num],
WEEKDAYS[self.weekday])
class LastDayOfMonthExpression(AllExpression):
value_re = re.compile(r'last', re.IGNORECASE)
def __init__(self):
super(LastDayOfMonthExpression, self).__init__(None)
def get_next_value(self, date, field):
return monthrange(date.year, date.month)[1]
def __str__(self):
return 'last'
def __repr__(self):
return "%s()" % self.__class__.__name__

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"""Fields represent CronTrigger options which map to :class:`~datetime.datetime` fields."""
from calendar import monthrange
import re
import six
from apscheduler.triggers.cron.expressions import (
AllExpression, RangeExpression, WeekdayPositionExpression, LastDayOfMonthExpression,
WeekdayRangeExpression, MonthRangeExpression)
__all__ = ('MIN_VALUES', 'MAX_VALUES', 'DEFAULT_VALUES', 'BaseField', 'WeekField',
'DayOfMonthField', 'DayOfWeekField')
MIN_VALUES = {'year': 1970, 'month': 1, 'day': 1, 'week': 1, 'day_of_week': 0, 'hour': 0,
'minute': 0, 'second': 0}
MAX_VALUES = {'year': 9999, 'month': 12, 'day': 31, 'week': 53, 'day_of_week': 6, 'hour': 23,
'minute': 59, 'second': 59}
DEFAULT_VALUES = {'year': '*', 'month': 1, 'day': 1, 'week': '*', 'day_of_week': '*', 'hour': 0,
'minute': 0, 'second': 0}
SEPARATOR = re.compile(' *, *')
class BaseField(object):
REAL = True
COMPILERS = [AllExpression, RangeExpression]
def __init__(self, name, exprs, is_default=False):
self.name = name
self.is_default = is_default
self.compile_expressions(exprs)
def get_min(self, dateval):
return MIN_VALUES[self.name]
def get_max(self, dateval):
return MAX_VALUES[self.name]
def get_value(self, dateval):
return getattr(dateval, self.name)
def get_next_value(self, dateval):
smallest = None
for expr in self.expressions:
value = expr.get_next_value(dateval, self)
if smallest is None or (value is not None and value < smallest):
smallest = value
return smallest
def compile_expressions(self, exprs):
self.expressions = []
# Split a comma-separated expression list, if any
for expr in SEPARATOR.split(str(exprs).strip()):
self.compile_expression(expr)
def compile_expression(self, expr):
for compiler in self.COMPILERS:
match = compiler.value_re.match(expr)
if match:
compiled_expr = compiler(**match.groupdict())
try:
compiled_expr.validate_range(self.name)
except ValueError as e:
exc = ValueError('Error validating expression {!r}: {}'.format(expr, e))
six.raise_from(exc, None)
self.expressions.append(compiled_expr)
return
raise ValueError('Unrecognized expression "%s" for field "%s"' % (expr, self.name))
def __eq__(self, other):
return isinstance(self, self.__class__) and self.expressions == other.expressions
def __str__(self):
expr_strings = (str(e) for e in self.expressions)
return ','.join(expr_strings)
def __repr__(self):
return "%s('%s', '%s')" % (self.__class__.__name__, self.name, self)
class WeekField(BaseField):
REAL = False
def get_value(self, dateval):
return dateval.isocalendar()[1]
class DayOfMonthField(BaseField):
COMPILERS = BaseField.COMPILERS + [WeekdayPositionExpression, LastDayOfMonthExpression]
def get_max(self, dateval):
return monthrange(dateval.year, dateval.month)[1]
class DayOfWeekField(BaseField):
REAL = False
COMPILERS = BaseField.COMPILERS + [WeekdayRangeExpression]
def get_value(self, dateval):
return dateval.weekday()
class MonthField(BaseField):
COMPILERS = BaseField.COMPILERS + [MonthRangeExpression]

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from datetime import datetime
from tzlocal import get_localzone
from apscheduler.triggers.base import BaseTrigger
from apscheduler.util import convert_to_datetime, datetime_repr, astimezone
class DateTrigger(BaseTrigger):
"""
Triggers once on the given datetime. If ``run_date`` is left empty, current time is used.
:param datetime|str run_date: the date/time to run the job at
:param datetime.tzinfo|str timezone: time zone for ``run_date`` if it doesn't have one already
"""
__slots__ = 'run_date'
def __init__(self, run_date=None, timezone=None):
timezone = astimezone(timezone) or get_localzone()
if run_date is not None:
self.run_date = convert_to_datetime(run_date, timezone, 'run_date')
else:
self.run_date = datetime.now(timezone)
def get_next_fire_time(self, previous_fire_time, now):
return self.run_date if previous_fire_time is None else None
def __getstate__(self):
return {
'version': 1,
'run_date': self.run_date
}
def __setstate__(self, state):
# This is for compatibility with APScheduler 3.0.x
if isinstance(state, tuple):
state = state[1]
if state.get('version', 1) > 1:
raise ValueError(
'Got serialized data for version %s of %s, but only version 1 can be handled' %
(state['version'], self.__class__.__name__))
self.run_date = state['run_date']
def __str__(self):
return 'date[%s]' % datetime_repr(self.run_date)
def __repr__(self):
return "<%s (run_date='%s')>" % (self.__class__.__name__, datetime_repr(self.run_date))

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from datetime import timedelta, datetime
from math import ceil
from tzlocal import get_localzone
from apscheduler.triggers.base import BaseTrigger
from apscheduler.util import convert_to_datetime, timedelta_seconds, datetime_repr, astimezone
class IntervalTrigger(BaseTrigger):
"""
Triggers on specified intervals, starting on ``start_date`` if specified, ``datetime.now()`` +
interval otherwise.
:param int weeks: number of weeks to wait
:param int days: number of days to wait
:param int hours: number of hours to wait
:param int minutes: number of minutes to wait
:param int seconds: number of seconds to wait
:param datetime|str start_date: starting point for the interval calculation
:param datetime|str end_date: latest possible date/time to trigger on
:param datetime.tzinfo|str timezone: time zone to use for the date/time calculations
:param int|None jitter: advance or delay the job execution by ``jitter`` seconds at most.
"""
__slots__ = 'timezone', 'start_date', 'end_date', 'interval', 'interval_length', 'jitter'
def __init__(self, weeks=0, days=0, hours=0, minutes=0, seconds=0, start_date=None,
end_date=None, timezone=None, jitter=None):
self.interval = timedelta(weeks=weeks, days=days, hours=hours, minutes=minutes,
seconds=seconds)
self.interval_length = timedelta_seconds(self.interval)
if self.interval_length == 0:
self.interval = timedelta(seconds=1)
self.interval_length = 1
if timezone:
self.timezone = astimezone(timezone)
elif isinstance(start_date, datetime) and start_date.tzinfo:
self.timezone = start_date.tzinfo
elif isinstance(end_date, datetime) and end_date.tzinfo:
self.timezone = end_date.tzinfo
else:
self.timezone = get_localzone()
start_date = start_date or (datetime.now(self.timezone) + self.interval)
self.start_date = convert_to_datetime(start_date, self.timezone, 'start_date')
self.end_date = convert_to_datetime(end_date, self.timezone, 'end_date')
self.jitter = jitter
def get_next_fire_time(self, previous_fire_time, now):
if previous_fire_time:
next_fire_time = previous_fire_time + self.interval
elif self.start_date > now:
next_fire_time = self.start_date
else:
timediff_seconds = timedelta_seconds(now - self.start_date)
next_interval_num = int(ceil(timediff_seconds / self.interval_length))
next_fire_time = self.start_date + self.interval * next_interval_num
if self.jitter is not None:
next_fire_time = self._apply_jitter(next_fire_time, self.jitter, now)
if not self.end_date or next_fire_time <= self.end_date:
return self.timezone.normalize(next_fire_time)
def __getstate__(self):
return {
'version': 2,
'timezone': self.timezone,
'start_date': self.start_date,
'end_date': self.end_date,
'interval': self.interval,
'jitter': self.jitter,
}
def __setstate__(self, state):
# This is for compatibility with APScheduler 3.0.x
if isinstance(state, tuple):
state = state[1]
if state.get('version', 1) > 2:
raise ValueError(
'Got serialized data for version %s of %s, but only versions up to 2 can be '
'handled' % (state['version'], self.__class__.__name__))
self.timezone = state['timezone']
self.start_date = state['start_date']
self.end_date = state['end_date']
self.interval = state['interval']
self.interval_length = timedelta_seconds(self.interval)
self.jitter = state.get('jitter')
def __str__(self):
return 'interval[%s]' % str(self.interval)
def __repr__(self):
options = ['interval=%r' % self.interval, 'start_date=%r' % datetime_repr(self.start_date)]
if self.end_date:
options.append("end_date=%r" % datetime_repr(self.end_date))
if self.jitter:
options.append('jitter=%s' % self.jitter)
return "<%s (%s, timezone='%s')>" % (
self.__class__.__name__, ', '.join(options), self.timezone)

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"""This module contains several handy functions primarily meant for internal use."""
from __future__ import division
from datetime import date, datetime, time, timedelta, tzinfo
from calendar import timegm
from functools import partial
from inspect import isclass, ismethod
import re
from pytz import timezone, utc, FixedOffset
import six
try:
from inspect import signature
except ImportError: # pragma: nocover
from funcsigs import signature
try:
from threading import TIMEOUT_MAX
except ImportError:
TIMEOUT_MAX = 4294967 # Maximum value accepted by Event.wait() on Windows
try:
from asyncio import iscoroutinefunction
except ImportError:
try:
from trollius import iscoroutinefunction
except ImportError:
def iscoroutinefunction(func):
return False
__all__ = ('asint', 'asbool', 'astimezone', 'convert_to_datetime', 'datetime_to_utc_timestamp',
'utc_timestamp_to_datetime', 'timedelta_seconds', 'datetime_ceil', 'get_callable_name',
'obj_to_ref', 'ref_to_obj', 'maybe_ref', 'repr_escape', 'check_callable_args',
'TIMEOUT_MAX')
class _Undefined(object):
def __nonzero__(self):
return False
def __bool__(self):
return False
def __repr__(self):
return '<undefined>'
undefined = _Undefined() #: a unique object that only signifies that no value is defined
def asint(text):
"""
Safely converts a string to an integer, returning ``None`` if the string is ``None``.
:type text: str
:rtype: int
"""
if text is not None:
return int(text)
def asbool(obj):
"""
Interprets an object as a boolean value.
:rtype: bool
"""
if isinstance(obj, str):
obj = obj.strip().lower()
if obj in ('true', 'yes', 'on', 'y', 't', '1'):
return True
if obj in ('false', 'no', 'off', 'n', 'f', '0'):
return False
raise ValueError('Unable to interpret value "%s" as boolean' % obj)
return bool(obj)
def astimezone(obj):
"""
Interprets an object as a timezone.
:rtype: tzinfo
"""
if isinstance(obj, six.string_types):
return timezone(obj)
if isinstance(obj, tzinfo):
if not hasattr(obj, 'localize') or not hasattr(obj, 'normalize'):
raise TypeError('Only timezones from the pytz library are supported')
if obj.zone == 'local':
raise ValueError(
'Unable to determine the name of the local timezone -- you must explicitly '
'specify the name of the local timezone. Please refrain from using timezones like '
'EST to prevent problems with daylight saving time. Instead, use a locale based '
'timezone name (such as Europe/Helsinki).')
return obj
if obj is not None:
raise TypeError('Expected tzinfo, got %s instead' % obj.__class__.__name__)
_DATE_REGEX = re.compile(
r'(?P<year>\d{4})-(?P<month>\d{1,2})-(?P<day>\d{1,2})'
r'(?:[ T](?P<hour>\d{1,2}):(?P<minute>\d{1,2}):(?P<second>\d{1,2})'
r'(?:\.(?P<microsecond>\d{1,6}))?'
r'(?P<timezone>Z|[+-]\d\d:\d\d)?)?$')
def convert_to_datetime(input, tz, arg_name):
"""
Converts the given object to a timezone aware datetime object.
If a timezone aware datetime object is passed, it is returned unmodified.
If a native datetime object is passed, it is given the specified timezone.
If the input is a string, it is parsed as a datetime with the given timezone.
Date strings are accepted in three different forms: date only (Y-m-d), date with time
(Y-m-d H:M:S) or with date+time with microseconds (Y-m-d H:M:S.micro). Additionally you can
override the time zone by giving a specific offset in the format specified by ISO 8601:
Z (UTC), +HH:MM or -HH:MM.
:param str|datetime input: the datetime or string to convert to a timezone aware datetime
:param datetime.tzinfo tz: timezone to interpret ``input`` in
:param str arg_name: the name of the argument (used in an error message)
:rtype: datetime
"""
if input is None:
return
elif isinstance(input, datetime):
datetime_ = input
elif isinstance(input, date):
datetime_ = datetime.combine(input, time())
elif isinstance(input, six.string_types):
m = _DATE_REGEX.match(input)
if not m:
raise ValueError('Invalid date string')
values = m.groupdict()
tzname = values.pop('timezone')
if tzname == 'Z':
tz = utc
elif tzname:
hours, minutes = (int(x) for x in tzname[1:].split(':'))
sign = 1 if tzname[0] == '+' else -1
tz = FixedOffset(sign * (hours * 60 + minutes))
values = {k: int(v or 0) for k, v in values.items()}
datetime_ = datetime(**values)
else:
raise TypeError('Unsupported type for %s: %s' % (arg_name, input.__class__.__name__))
if datetime_.tzinfo is not None:
return datetime_
if tz is None:
raise ValueError(
'The "tz" argument must be specified if %s has no timezone information' % arg_name)
if isinstance(tz, six.string_types):
tz = timezone(tz)
try:
return tz.localize(datetime_, is_dst=None)
except AttributeError:
raise TypeError(
'Only pytz timezones are supported (need the localize() and normalize() methods)')
def datetime_to_utc_timestamp(timeval):
"""
Converts a datetime instance to a timestamp.
:type timeval: datetime
:rtype: float
"""
if timeval is not None:
return timegm(timeval.utctimetuple()) + timeval.microsecond / 1000000
def utc_timestamp_to_datetime(timestamp):
"""
Converts the given timestamp to a datetime instance.
:type timestamp: float
:rtype: datetime
"""
if timestamp is not None:
return datetime.fromtimestamp(timestamp, utc)
def timedelta_seconds(delta):
"""
Converts the given timedelta to seconds.
:type delta: timedelta
:rtype: float
"""
return delta.days * 24 * 60 * 60 + delta.seconds + \
delta.microseconds / 1000000.0
def datetime_ceil(dateval):
"""
Rounds the given datetime object upwards.
:type dateval: datetime
"""
if dateval.microsecond > 0:
return dateval + timedelta(seconds=1, microseconds=-dateval.microsecond)
return dateval
def datetime_repr(dateval):
return dateval.strftime('%Y-%m-%d %H:%M:%S %Z') if dateval else 'None'
def get_callable_name(func):
"""
Returns the best available display name for the given function/callable.
:rtype: str
"""
# the easy case (on Python 3.3+)
if hasattr(func, '__qualname__'):
return func.__qualname__
# class methods, bound and unbound methods
f_self = getattr(func, '__self__', None) or getattr(func, 'im_self', None)
if f_self and hasattr(func, '__name__'):
f_class = f_self if isclass(f_self) else f_self.__class__
else:
f_class = getattr(func, 'im_class', None)
if f_class and hasattr(func, '__name__'):
return '%s.%s' % (f_class.__name__, func.__name__)
# class or class instance
if hasattr(func, '__call__'):
# class
if hasattr(func, '__name__'):
return func.__name__
# instance of a class with a __call__ method
return func.__class__.__name__
raise TypeError('Unable to determine a name for %r -- maybe it is not a callable?' % func)
def obj_to_ref(obj):
"""
Returns the path to the given callable.
:rtype: str
:raises TypeError: if the given object is not callable
:raises ValueError: if the given object is a :class:`~functools.partial`, lambda or a nested
function
"""
if isinstance(obj, partial):
raise ValueError('Cannot create a reference to a partial()')
name = get_callable_name(obj)
if '<lambda>' in name:
raise ValueError('Cannot create a reference to a lambda')
if '<locals>' in name:
raise ValueError('Cannot create a reference to a nested function')
if ismethod(obj):
if hasattr(obj, 'im_self') and obj.im_self:
# bound method
module = obj.im_self.__module__
elif hasattr(obj, 'im_class') and obj.im_class:
# unbound method
module = obj.im_class.__module__
else:
module = obj.__module__
else:
module = obj.__module__
return '%s:%s' % (module, name)
def ref_to_obj(ref):
"""
Returns the object pointed to by ``ref``.
:type ref: str
"""
if not isinstance(ref, six.string_types):
raise TypeError('References must be strings')
if ':' not in ref:
raise ValueError('Invalid reference')
modulename, rest = ref.split(':', 1)
try:
obj = __import__(modulename, fromlist=[rest])
except ImportError:
raise LookupError('Error resolving reference %s: could not import module' % ref)
try:
for name in rest.split('.'):
obj = getattr(obj, name)
return obj
except Exception:
raise LookupError('Error resolving reference %s: error looking up object' % ref)
def maybe_ref(ref):
"""
Returns the object that the given reference points to, if it is indeed a reference.
If it is not a reference, the object is returned as-is.
"""
if not isinstance(ref, str):
return ref
return ref_to_obj(ref)
if six.PY2:
def repr_escape(string):
if isinstance(string, six.text_type):
return string.encode('ascii', 'backslashreplace')
return string
else:
def repr_escape(string):
return string
def check_callable_args(func, args, kwargs):
"""
Ensures that the given callable can be called with the given arguments.
:type args: tuple
:type kwargs: dict
"""
pos_kwargs_conflicts = [] # parameters that have a match in both args and kwargs
positional_only_kwargs = [] # positional-only parameters that have a match in kwargs
unsatisfied_args = [] # parameters in signature that don't have a match in args or kwargs
unsatisfied_kwargs = [] # keyword-only arguments that don't have a match in kwargs
unmatched_args = list(args) # args that didn't match any of the parameters in the signature
# kwargs that didn't match any of the parameters in the signature
unmatched_kwargs = list(kwargs)
# indicates if the signature defines *args and **kwargs respectively
has_varargs = has_var_kwargs = False
try:
sig = signature(func)
except ValueError:
# signature() doesn't work against every kind of callable
return
for param in six.itervalues(sig.parameters):
if param.kind == param.POSITIONAL_OR_KEYWORD:
if param.name in unmatched_kwargs and unmatched_args:
pos_kwargs_conflicts.append(param.name)
elif unmatched_args:
del unmatched_args[0]
elif param.name in unmatched_kwargs:
unmatched_kwargs.remove(param.name)
elif param.default is param.empty:
unsatisfied_args.append(param.name)
elif param.kind == param.POSITIONAL_ONLY:
if unmatched_args:
del unmatched_args[0]
elif param.name in unmatched_kwargs:
unmatched_kwargs.remove(param.name)
positional_only_kwargs.append(param.name)
elif param.default is param.empty:
unsatisfied_args.append(param.name)
elif param.kind == param.KEYWORD_ONLY:
if param.name in unmatched_kwargs:
unmatched_kwargs.remove(param.name)
elif param.default is param.empty:
unsatisfied_kwargs.append(param.name)
elif param.kind == param.VAR_POSITIONAL:
has_varargs = True
elif param.kind == param.VAR_KEYWORD:
has_var_kwargs = True
# Make sure there are no conflicts between args and kwargs
if pos_kwargs_conflicts:
raise ValueError('The following arguments are supplied in both args and kwargs: %s' %
', '.join(pos_kwargs_conflicts))
# Check if keyword arguments are being fed to positional-only parameters
if positional_only_kwargs:
raise ValueError('The following arguments cannot be given as keyword arguments: %s' %
', '.join(positional_only_kwargs))
# Check that the number of positional arguments minus the number of matched kwargs matches the
# argspec
if unsatisfied_args:
raise ValueError('The following arguments have not been supplied: %s' %
', '.join(unsatisfied_args))
# Check that all keyword-only arguments have been supplied
if unsatisfied_kwargs:
raise ValueError(
'The following keyword-only arguments have not been supplied in kwargs: %s' %
', '.join(unsatisfied_kwargs))
# Check that the callable can accept the given number of positional arguments
if not has_varargs and unmatched_args:
raise ValueError(
'The list of positional arguments is longer than the target callable can handle '
'(allowed: %d, given in args: %d)' % (len(args) - len(unmatched_args), len(args)))
# Check that the callable can accept the given keyword arguments
if not has_var_kwargs and unmatched_kwargs:
raise ValueError(
'The target callable does not accept the following keyword arguments: %s' %
', '.join(unmatched_kwargs))
def iscoroutinefunction_partial(f):
while isinstance(f, partial):
f = f.func
# The asyncio version of iscoroutinefunction includes testing for @coroutine
# decorations vs. the inspect version which does not.
return iscoroutinefunction(f)

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pytz - World Timezone Definitions for Python
============================================
:Author: Stuart Bishop <stuart@stuartbishop.net>
Introduction
~~~~~~~~~~~~
pytz brings the Olson tz database into Python. This library allows
accurate and cross platform timezone calculations using Python 2.4
or higher. It also solves the issue of ambiguous times at the end
of daylight saving time, which you can read more about in the Python
Library Reference (``datetime.tzinfo``).
Almost all of the Olson timezones are supported.
.. note::
This library differs from the documented Python API for
tzinfo implementations; if you want to create local wallclock
times you need to use the ``localize()`` method documented in this
document. In addition, if you perform date arithmetic on local
times that cross DST boundaries, the result may be in an incorrect
timezone (ie. subtract 1 minute from 2002-10-27 1:00 EST and you get
2002-10-27 0:59 EST instead of the correct 2002-10-27 1:59 EDT). A
``normalize()`` method is provided to correct this. Unfortunately these
issues cannot be resolved without modifying the Python datetime
implementation (see PEP-431).
Installation
~~~~~~~~~~~~
This package can either be installed using ``pip`` or from a tarball using the
standard Python distutils.
If you are installing using ``pip``, you don't need to download anything as the
latest version will be downloaded for you from PyPI::
pip install pytz
If you are installing from a tarball, run the following command as an
administrative user::
python setup.py install
pytz for Enterprise
~~~~~~~~~~~~~~~~~~~
Available as part of the Tidelift Subscription.
The maintainers of pytz and thousands of other packages are working with Tidelift to deliver commercial support and maintenance for the open source dependencies you use to build your applications. Save time, reduce risk, and improve code health, while paying the maintainers of the exact dependencies you use. `Learn more. <https://tidelift.com/subscription/pkg/pypi-pytz?utm_source=pypi-pytz&utm_medium=referral&utm_campaign=enterprise&utm_term=repo>`_.
Example & Usage
~~~~~~~~~~~~~~~
Localized times and date arithmetic
-----------------------------------
>>> from datetime import datetime, timedelta
>>> from pytz import timezone
>>> import pytz
>>> utc = pytz.utc
>>> utc.zone
'UTC'
>>> eastern = timezone('US/Eastern')
>>> eastern.zone
'US/Eastern'
>>> amsterdam = timezone('Europe/Amsterdam')
>>> fmt = '%Y-%m-%d %H:%M:%S %Z%z'
This library only supports two ways of building a localized time. The
first is to use the ``localize()`` method provided by the pytz library.
This is used to localize a naive datetime (datetime with no timezone
information):
>>> loc_dt = eastern.localize(datetime(2002, 10, 27, 6, 0, 0))
>>> print(loc_dt.strftime(fmt))
2002-10-27 06:00:00 EST-0500
The second way of building a localized time is by converting an existing
localized time using the standard ``astimezone()`` method:
>>> ams_dt = loc_dt.astimezone(amsterdam)
>>> ams_dt.strftime(fmt)
'2002-10-27 12:00:00 CET+0100'
Unfortunately using the tzinfo argument of the standard datetime
constructors ''does not work'' with pytz for many timezones.
>>> datetime(2002, 10, 27, 12, 0, 0, tzinfo=amsterdam).strftime(fmt) # /!\ Does not work this way!
'2002-10-27 12:00:00 LMT+0020'
It is safe for timezones without daylight saving transitions though, such
as UTC:
>>> datetime(2002, 10, 27, 12, 0, 0, tzinfo=pytz.utc).strftime(fmt) # /!\ Not recommended except for UTC
'2002-10-27 12:00:00 UTC+0000'
The preferred way of dealing with times is to always work in UTC,
converting to localtime only when generating output to be read
by humans.
>>> utc_dt = datetime(2002, 10, 27, 6, 0, 0, tzinfo=utc)
>>> loc_dt = utc_dt.astimezone(eastern)
>>> loc_dt.strftime(fmt)
'2002-10-27 01:00:00 EST-0500'
This library also allows you to do date arithmetic using local
times, although it is more complicated than working in UTC as you
need to use the ``normalize()`` method to handle daylight saving time
and other timezone transitions. In this example, ``loc_dt`` is set
to the instant when daylight saving time ends in the US/Eastern
timezone.
>>> before = loc_dt - timedelta(minutes=10)
>>> before.strftime(fmt)
'2002-10-27 00:50:00 EST-0500'
>>> eastern.normalize(before).strftime(fmt)
'2002-10-27 01:50:00 EDT-0400'
>>> after = eastern.normalize(before + timedelta(minutes=20))
>>> after.strftime(fmt)
'2002-10-27 01:10:00 EST-0500'
Creating local times is also tricky, and the reason why working with
local times is not recommended. Unfortunately, you cannot just pass
a ``tzinfo`` argument when constructing a datetime (see the next
section for more details)
>>> dt = datetime(2002, 10, 27, 1, 30, 0)
>>> dt1 = eastern.localize(dt, is_dst=True)
>>> dt1.strftime(fmt)
'2002-10-27 01:30:00 EDT-0400'
>>> dt2 = eastern.localize(dt, is_dst=False)
>>> dt2.strftime(fmt)
'2002-10-27 01:30:00 EST-0500'
Converting between timezones is more easily done, using the
standard astimezone method.
>>> utc_dt = utc.localize(datetime.utcfromtimestamp(1143408899))
>>> utc_dt.strftime(fmt)
'2006-03-26 21:34:59 UTC+0000'
>>> au_tz = timezone('Australia/Sydney')
>>> au_dt = utc_dt.astimezone(au_tz)
>>> au_dt.strftime(fmt)
'2006-03-27 08:34:59 AEDT+1100'
>>> utc_dt2 = au_dt.astimezone(utc)
>>> utc_dt2.strftime(fmt)
'2006-03-26 21:34:59 UTC+0000'
>>> utc_dt == utc_dt2
True
You can take shortcuts when dealing with the UTC side of timezone
conversions. ``normalize()`` and ``localize()`` are not really
necessary when there are no daylight saving time transitions to
deal with.
>>> utc_dt = datetime.utcfromtimestamp(1143408899).replace(tzinfo=utc)
>>> utc_dt.strftime(fmt)
'2006-03-26 21:34:59 UTC+0000'
>>> au_tz = timezone('Australia/Sydney')
>>> au_dt = au_tz.normalize(utc_dt.astimezone(au_tz))
>>> au_dt.strftime(fmt)
'2006-03-27 08:34:59 AEDT+1100'
>>> utc_dt2 = au_dt.astimezone(utc)
>>> utc_dt2.strftime(fmt)
'2006-03-26 21:34:59 UTC+0000'
``tzinfo`` API
--------------
The ``tzinfo`` instances returned by the ``timezone()`` function have
been extended to cope with ambiguous times by adding an ``is_dst``
parameter to the ``utcoffset()``, ``dst()`` && ``tzname()`` methods.
>>> tz = timezone('America/St_Johns')
>>> normal = datetime(2009, 9, 1)
>>> ambiguous = datetime(2009, 10, 31, 23, 30)
The ``is_dst`` parameter is ignored for most timestamps. It is only used
during DST transition ambiguous periods to resolve that ambiguity.
>>> print(tz.utcoffset(normal, is_dst=True))
-1 day, 21:30:00
>>> print(tz.dst(normal, is_dst=True))
1:00:00
>>> tz.tzname(normal, is_dst=True)
'NDT'
>>> print(tz.utcoffset(ambiguous, is_dst=True))
-1 day, 21:30:00
>>> print(tz.dst(ambiguous, is_dst=True))
1:00:00
>>> tz.tzname(ambiguous, is_dst=True)
'NDT'
>>> print(tz.utcoffset(normal, is_dst=False))
-1 day, 21:30:00
>>> tz.dst(normal, is_dst=False)
datetime.timedelta(0, 3600)
>>> tz.tzname(normal, is_dst=False)
'NDT'
>>> print(tz.utcoffset(ambiguous, is_dst=False))
-1 day, 20:30:00
>>> tz.dst(ambiguous, is_dst=False)
datetime.timedelta(0)
>>> tz.tzname(ambiguous, is_dst=False)
'NST'
If ``is_dst`` is not specified, ambiguous timestamps will raise
an ``pytz.exceptions.AmbiguousTimeError`` exception.
>>> print(tz.utcoffset(normal))
-1 day, 21:30:00
>>> print(tz.dst(normal))
1:00:00
>>> tz.tzname(normal)
'NDT'
>>> import pytz.exceptions
>>> try:
... tz.utcoffset(ambiguous)
... except pytz.exceptions.AmbiguousTimeError:
... print('pytz.exceptions.AmbiguousTimeError: %s' % ambiguous)
pytz.exceptions.AmbiguousTimeError: 2009-10-31 23:30:00
>>> try:
... tz.dst(ambiguous)
... except pytz.exceptions.AmbiguousTimeError:
... print('pytz.exceptions.AmbiguousTimeError: %s' % ambiguous)
pytz.exceptions.AmbiguousTimeError: 2009-10-31 23:30:00
>>> try:
... tz.tzname(ambiguous)
... except pytz.exceptions.AmbiguousTimeError:
... print('pytz.exceptions.AmbiguousTimeError: %s' % ambiguous)
pytz.exceptions.AmbiguousTimeError: 2009-10-31 23:30:00
Problems with Localtime
~~~~~~~~~~~~~~~~~~~~~~~
The major problem we have to deal with is that certain datetimes
may occur twice in a year. For example, in the US/Eastern timezone
on the last Sunday morning in October, the following sequence
happens:
- 01:00 EDT occurs
- 1 hour later, instead of 2:00am the clock is turned back 1 hour
and 01:00 happens again (this time 01:00 EST)
In fact, every instant between 01:00 and 02:00 occurs twice. This means
that if you try and create a time in the 'US/Eastern' timezone
the standard datetime syntax, there is no way to specify if you meant
before of after the end-of-daylight-saving-time transition. Using the
pytz custom syntax, the best you can do is make an educated guess:
>>> loc_dt = eastern.localize(datetime(2002, 10, 27, 1, 30, 00))
>>> loc_dt.strftime(fmt)
'2002-10-27 01:30:00 EST-0500'
As you can see, the system has chosen one for you and there is a 50%
chance of it being out by one hour. For some applications, this does
not matter. However, if you are trying to schedule meetings with people
in different timezones or analyze log files it is not acceptable.
The best and simplest solution is to stick with using UTC. The pytz
package encourages using UTC for internal timezone representation by
including a special UTC implementation based on the standard Python
reference implementation in the Python documentation.
The UTC timezone unpickles to be the same instance, and pickles to a
smaller size than other pytz tzinfo instances. The UTC implementation
can be obtained as pytz.utc, pytz.UTC, or pytz.timezone('UTC').
>>> import pickle, pytz
>>> dt = datetime(2005, 3, 1, 14, 13, 21, tzinfo=utc)
>>> naive = dt.replace(tzinfo=None)
>>> p = pickle.dumps(dt, 1)
>>> naive_p = pickle.dumps(naive, 1)
>>> len(p) - len(naive_p)
17
>>> new = pickle.loads(p)
>>> new == dt
True
>>> new is dt
False
>>> new.tzinfo is dt.tzinfo
True
>>> pytz.utc is pytz.UTC is pytz.timezone('UTC')
True
Note that some other timezones are commonly thought of as the same (GMT,
Greenwich, Universal, etc.). The definition of UTC is distinct from these
other timezones, and they are not equivalent. For this reason, they will
not compare the same in Python.
>>> utc == pytz.timezone('GMT')
False
See the section `What is UTC`_, below.
If you insist on working with local times, this library provides a
facility for constructing them unambiguously:
>>> loc_dt = datetime(2002, 10, 27, 1, 30, 00)
>>> est_dt = eastern.localize(loc_dt, is_dst=True)
>>> edt_dt = eastern.localize(loc_dt, is_dst=False)
>>> print(est_dt.strftime(fmt) + ' / ' + edt_dt.strftime(fmt))
2002-10-27 01:30:00 EDT-0400 / 2002-10-27 01:30:00 EST-0500
If you pass None as the is_dst flag to localize(), pytz will refuse to
guess and raise exceptions if you try to build ambiguous or non-existent
times.
For example, 1:30am on 27th Oct 2002 happened twice in the US/Eastern
timezone when the clocks where put back at the end of Daylight Saving
Time:
>>> dt = datetime(2002, 10, 27, 1, 30, 00)
>>> try:
... eastern.localize(dt, is_dst=None)
... except pytz.exceptions.AmbiguousTimeError:
... print('pytz.exceptions.AmbiguousTimeError: %s' % dt)
pytz.exceptions.AmbiguousTimeError: 2002-10-27 01:30:00
Similarly, 2:30am on 7th April 2002 never happened at all in the
US/Eastern timezone, as the clocks where put forward at 2:00am skipping
the entire hour:
>>> dt = datetime(2002, 4, 7, 2, 30, 00)
>>> try:
... eastern.localize(dt, is_dst=None)
... except pytz.exceptions.NonExistentTimeError:
... print('pytz.exceptions.NonExistentTimeError: %s' % dt)
pytz.exceptions.NonExistentTimeError: 2002-04-07 02:30:00
Both of these exceptions share a common base class to make error handling
easier:
>>> isinstance(pytz.AmbiguousTimeError(), pytz.InvalidTimeError)
True
>>> isinstance(pytz.NonExistentTimeError(), pytz.InvalidTimeError)
True
A special case is where countries change their timezone definitions
with no daylight savings time switch. For example, in 1915 Warsaw
switched from Warsaw time to Central European time with no daylight savings
transition. So at the stroke of midnight on August 5th 1915 the clocks
were wound back 24 minutes creating an ambiguous time period that cannot
be specified without referring to the timezone abbreviation or the
actual UTC offset. In this case midnight happened twice, neither time
during a daylight saving time period. pytz handles this transition by
treating the ambiguous period before the switch as daylight savings
time, and the ambiguous period after as standard time.
>>> warsaw = pytz.timezone('Europe/Warsaw')
>>> amb_dt1 = warsaw.localize(datetime(1915, 8, 4, 23, 59, 59), is_dst=True)
>>> amb_dt1.strftime(fmt)
'1915-08-04 23:59:59 WMT+0124'
>>> amb_dt2 = warsaw.localize(datetime(1915, 8, 4, 23, 59, 59), is_dst=False)
>>> amb_dt2.strftime(fmt)
'1915-08-04 23:59:59 CET+0100'
>>> switch_dt = warsaw.localize(datetime(1915, 8, 5, 00, 00, 00), is_dst=False)
>>> switch_dt.strftime(fmt)
'1915-08-05 00:00:00 CET+0100'
>>> str(switch_dt - amb_dt1)
'0:24:01'
>>> str(switch_dt - amb_dt2)
'0:00:01'
The best way of creating a time during an ambiguous time period is
by converting from another timezone such as UTC:
>>> utc_dt = datetime(1915, 8, 4, 22, 36, tzinfo=pytz.utc)
>>> utc_dt.astimezone(warsaw).strftime(fmt)
'1915-08-04 23:36:00 CET+0100'
The standard Python way of handling all these ambiguities is not to
handle them, such as demonstrated in this example using the US/Eastern
timezone definition from the Python documentation (Note that this
implementation only works for dates between 1987 and 2006 - it is
included for tests only!):
>>> from pytz.reference import Eastern # pytz.reference only for tests
>>> dt = datetime(2002, 10, 27, 0, 30, tzinfo=Eastern)
>>> str(dt)
'2002-10-27 00:30:00-04:00'
>>> str(dt + timedelta(hours=1))
'2002-10-27 01:30:00-05:00'
>>> str(dt + timedelta(hours=2))
'2002-10-27 02:30:00-05:00'
>>> str(dt + timedelta(hours=3))
'2002-10-27 03:30:00-05:00'
Notice the first two results? At first glance you might think they are
correct, but taking the UTC offset into account you find that they are
actually two hours appart instead of the 1 hour we asked for.
>>> from pytz.reference import UTC # pytz.reference only for tests
>>> str(dt.astimezone(UTC))
'2002-10-27 04:30:00+00:00'
>>> str((dt + timedelta(hours=1)).astimezone(UTC))
'2002-10-27 06:30:00+00:00'
Country Information
~~~~~~~~~~~~~~~~~~~
A mechanism is provided to access the timezones commonly in use
for a particular country, looked up using the ISO 3166 country code.
It returns a list of strings that can be used to retrieve the relevant
tzinfo instance using ``pytz.timezone()``:
>>> print(' '.join(pytz.country_timezones['nz']))
Pacific/Auckland Pacific/Chatham
The Olson database comes with a ISO 3166 country code to English country
name mapping that pytz exposes as a dictionary:
>>> print(pytz.country_names['nz'])
New Zealand
What is UTC
~~~~~~~~~~~
'UTC' is `Coordinated Universal Time`_. It is a successor to, but distinct
from, Greenwich Mean Time (GMT) and the various definitions of Universal
Time. UTC is now the worldwide standard for regulating clocks and time
measurement.
All other timezones are defined relative to UTC, and include offsets like
UTC+0800 - hours to add or subtract from UTC to derive the local time. No
daylight saving time occurs in UTC, making it a useful timezone to perform
date arithmetic without worrying about the confusion and ambiguities caused
by daylight saving time transitions, your country changing its timezone, or
mobile computers that roam through multiple timezones.
.. _Coordinated Universal Time: https://en.wikipedia.org/wiki/Coordinated_Universal_Time
Helpers
~~~~~~~
There are two lists of timezones provided.
``all_timezones`` is the exhaustive list of the timezone names that can
be used.
>>> from pytz import all_timezones
>>> len(all_timezones) >= 500
True
>>> 'Etc/Greenwich' in all_timezones
True
``common_timezones`` is a list of useful, current timezones. It doesn't
contain deprecated zones or historical zones, except for a few I've
deemed in common usage, such as US/Eastern (open a bug report if you
think other timezones are deserving of being included here). It is also
a sequence of strings.
>>> from pytz import common_timezones
>>> len(common_timezones) < len(all_timezones)
True
>>> 'Etc/Greenwich' in common_timezones
False
>>> 'Australia/Melbourne' in common_timezones
True
>>> 'US/Eastern' in common_timezones
True
>>> 'Canada/Eastern' in common_timezones
True
>>> 'Australia/Yancowinna' in all_timezones
True
>>> 'Australia/Yancowinna' in common_timezones
False
Both ``common_timezones`` and ``all_timezones`` are alphabetically
sorted:
>>> common_timezones_dupe = common_timezones[:]
>>> common_timezones_dupe.sort()
>>> common_timezones == common_timezones_dupe
True
>>> all_timezones_dupe = all_timezones[:]
>>> all_timezones_dupe.sort()
>>> all_timezones == all_timezones_dupe
True
``all_timezones`` and ``common_timezones`` are also available as sets.
>>> from pytz import all_timezones_set, common_timezones_set
>>> 'US/Eastern' in all_timezones_set
True
>>> 'US/Eastern' in common_timezones_set
True
>>> 'Australia/Victoria' in common_timezones_set
False
You can also retrieve lists of timezones used by particular countries
using the ``country_timezones()`` function. It requires an ISO-3166
two letter country code.
>>> from pytz import country_timezones
>>> print(' '.join(country_timezones('ch')))
Europe/Zurich
>>> print(' '.join(country_timezones('CH')))
Europe/Zurich
Internationalization - i18n/l10n
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Pytz is an interface to the IANA database, which uses ASCII names. The `Unicode Consortium's Unicode Locales (CLDR) <http://cldr.unicode.org>`_
project provides translations. Thomas Khyn's
`l18n <https://pypi.org/project/l18n/>`_ package can be used to access
these translations from Python.
License
~~~~~~~
MIT license.
This code is also available as part of Zope 3 under the Zope Public
License, Version 2.1 (ZPL).
I'm happy to relicense this code if necessary for inclusion in other
open source projects.
Latest Versions
~~~~~~~~~~~~~~~
This package will be updated after releases of the Olson timezone
database. The latest version can be downloaded from the `Python Package
Index <https://pypi.org/project/pytz/>`_. The code that is used
to generate this distribution is hosted on launchpad.net and available
using git::
git clone https://git.launchpad.net/pytz
A mirror on github is also available at https://github.com/stub42/pytz
Announcements of new releases are made on
`Launchpad <https://launchpad.net/pytz>`_, and the
`Atom feed <http://feeds.launchpad.net/pytz/announcements.atom>`_
hosted there.
Bugs, Feature Requests & Patches
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Bugs can be reported using `Launchpad Bugs <https://bugs.launchpad.net/pytz>`_.
Security Issues
~~~~~~~~~~~~~~~
Reports about security issues can be made via `Tidelift <https://tidelift.com/security>`_.
Issues & Limitations
~~~~~~~~~~~~~~~~~~~~
- Offsets from UTC are rounded to the nearest whole minute, so timezones
such as Europe/Amsterdam pre 1937 will be up to 30 seconds out. This
is a limitation of the Python datetime library.
- If you think a timezone definition is incorrect, I probably can't fix
it. pytz is a direct translation of the Olson timezone database, and
changes to the timezone definitions need to be made to this source.
If you find errors they should be reported to the time zone mailing
list, linked from http://www.iana.org/time-zones.
Further Reading
~~~~~~~~~~~~~~~
More info than you want to know about timezones:
http://www.twinsun.com/tz/tz-link.htm
Contact
~~~~~~~
Stuart Bishop <stuart@stuartbishop.net>

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Copyright (c) 2003-2019 Stuart Bishop <stuart@stuartbishop.net>
Permission 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:
The above copyright notice and this permission notice shall be included in
all copies or substantial portions of the Software.
THE 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.

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Metadata-Version: 2.0
Name: pytz
Version: 2020.5
Summary: World timezone definitions, modern and historical
Home-page: http://pythonhosted.org/pytz
Author: Stuart Bishop
Author-email: stuart@stuartbishop.net
Maintainer: Stuart Bishop
Maintainer-email: stuart@stuartbishop.net
License: MIT
Download-URL: https://pypi.org/project/pytz/
Keywords: timezone,tzinfo,datetime,olson,time
Platform: Independent
Classifier: Development Status :: 6 - Mature
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: MIT License
Classifier: Natural Language :: English
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 2
Classifier: Programming Language :: Python :: 2.4
Classifier: Programming Language :: Python :: 2.5
Classifier: Programming Language :: Python :: 2.6
Classifier: Programming Language :: Python :: 2.7
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.1
Classifier: Programming Language :: Python :: 3.2
Classifier: Programming Language :: Python :: 3.3
Classifier: Programming Language :: Python :: 3.4
Classifier: Programming Language :: Python :: 3.5
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Topic :: Software Development :: Libraries :: Python Modules
pytz - World Timezone Definitions for Python
============================================
:Author: Stuart Bishop <stuart@stuartbishop.net>
Introduction
~~~~~~~~~~~~
pytz brings the Olson tz database into Python. This library allows
accurate and cross platform timezone calculations using Python 2.4
or higher. It also solves the issue of ambiguous times at the end
of daylight saving time, which you can read more about in the Python
Library Reference (``datetime.tzinfo``).
Almost all of the Olson timezones are supported.
.. note::
This library differs from the documented Python API for
tzinfo implementations; if you want to create local wallclock
times you need to use the ``localize()`` method documented in this
document. In addition, if you perform date arithmetic on local
times that cross DST boundaries, the result may be in an incorrect
timezone (ie. subtract 1 minute from 2002-10-27 1:00 EST and you get
2002-10-27 0:59 EST instead of the correct 2002-10-27 1:59 EDT). A
``normalize()`` method is provided to correct this. Unfortunately these
issues cannot be resolved without modifying the Python datetime
implementation (see PEP-431).
Installation
~~~~~~~~~~~~
This package can either be installed using ``pip`` or from a tarball using the
standard Python distutils.
If you are installing using ``pip``, you don't need to download anything as the
latest version will be downloaded for you from PyPI::
pip install pytz
If you are installing from a tarball, run the following command as an
administrative user::
python setup.py install
pytz for Enterprise
~~~~~~~~~~~~~~~~~~~
Available as part of the Tidelift Subscription.
The maintainers of pytz and thousands of other packages are working with Tidelift to deliver commercial support and maintenance for the open source dependencies you use to build your applications. Save time, reduce risk, and improve code health, while paying the maintainers of the exact dependencies you use. `Learn more. <https://tidelift.com/subscription/pkg/pypi-pytz?utm_source=pypi-pytz&utm_medium=referral&utm_campaign=enterprise&utm_term=repo>`_.
Example & Usage
~~~~~~~~~~~~~~~
Localized times and date arithmetic
-----------------------------------
>>> from datetime import datetime, timedelta
>>> from pytz import timezone
>>> import pytz
>>> utc = pytz.utc
>>> utc.zone
'UTC'
>>> eastern = timezone('US/Eastern')
>>> eastern.zone
'US/Eastern'
>>> amsterdam = timezone('Europe/Amsterdam')
>>> fmt = '%Y-%m-%d %H:%M:%S %Z%z'
This library only supports two ways of building a localized time. The
first is to use the ``localize()`` method provided by the pytz library.
This is used to localize a naive datetime (datetime with no timezone
information):
>>> loc_dt = eastern.localize(datetime(2002, 10, 27, 6, 0, 0))
>>> print(loc_dt.strftime(fmt))
2002-10-27 06:00:00 EST-0500
The second way of building a localized time is by converting an existing
localized time using the standard ``astimezone()`` method:
>>> ams_dt = loc_dt.astimezone(amsterdam)
>>> ams_dt.strftime(fmt)
'2002-10-27 12:00:00 CET+0100'
Unfortunately using the tzinfo argument of the standard datetime
constructors ''does not work'' with pytz for many timezones.
>>> datetime(2002, 10, 27, 12, 0, 0, tzinfo=amsterdam).strftime(fmt) # /!\ Does not work this way!
'2002-10-27 12:00:00 LMT+0020'
It is safe for timezones without daylight saving transitions though, such
as UTC:
>>> datetime(2002, 10, 27, 12, 0, 0, tzinfo=pytz.utc).strftime(fmt) # /!\ Not recommended except for UTC
'2002-10-27 12:00:00 UTC+0000'
The preferred way of dealing with times is to always work in UTC,
converting to localtime only when generating output to be read
by humans.
>>> utc_dt = datetime(2002, 10, 27, 6, 0, 0, tzinfo=utc)
>>> loc_dt = utc_dt.astimezone(eastern)
>>> loc_dt.strftime(fmt)
'2002-10-27 01:00:00 EST-0500'
This library also allows you to do date arithmetic using local
times, although it is more complicated than working in UTC as you
need to use the ``normalize()`` method to handle daylight saving time
and other timezone transitions. In this example, ``loc_dt`` is set
to the instant when daylight saving time ends in the US/Eastern
timezone.
>>> before = loc_dt - timedelta(minutes=10)
>>> before.strftime(fmt)
'2002-10-27 00:50:00 EST-0500'
>>> eastern.normalize(before).strftime(fmt)
'2002-10-27 01:50:00 EDT-0400'
>>> after = eastern.normalize(before + timedelta(minutes=20))
>>> after.strftime(fmt)
'2002-10-27 01:10:00 EST-0500'
Creating local times is also tricky, and the reason why working with
local times is not recommended. Unfortunately, you cannot just pass
a ``tzinfo`` argument when constructing a datetime (see the next
section for more details)
>>> dt = datetime(2002, 10, 27, 1, 30, 0)
>>> dt1 = eastern.localize(dt, is_dst=True)
>>> dt1.strftime(fmt)
'2002-10-27 01:30:00 EDT-0400'
>>> dt2 = eastern.localize(dt, is_dst=False)
>>> dt2.strftime(fmt)
'2002-10-27 01:30:00 EST-0500'
Converting between timezones is more easily done, using the
standard astimezone method.
>>> utc_dt = utc.localize(datetime.utcfromtimestamp(1143408899))
>>> utc_dt.strftime(fmt)
'2006-03-26 21:34:59 UTC+0000'
>>> au_tz = timezone('Australia/Sydney')
>>> au_dt = utc_dt.astimezone(au_tz)
>>> au_dt.strftime(fmt)
'2006-03-27 08:34:59 AEDT+1100'
>>> utc_dt2 = au_dt.astimezone(utc)
>>> utc_dt2.strftime(fmt)
'2006-03-26 21:34:59 UTC+0000'
>>> utc_dt == utc_dt2
True
You can take shortcuts when dealing with the UTC side of timezone
conversions. ``normalize()`` and ``localize()`` are not really
necessary when there are no daylight saving time transitions to
deal with.
>>> utc_dt = datetime.utcfromtimestamp(1143408899).replace(tzinfo=utc)
>>> utc_dt.strftime(fmt)
'2006-03-26 21:34:59 UTC+0000'
>>> au_tz = timezone('Australia/Sydney')
>>> au_dt = au_tz.normalize(utc_dt.astimezone(au_tz))
>>> au_dt.strftime(fmt)
'2006-03-27 08:34:59 AEDT+1100'
>>> utc_dt2 = au_dt.astimezone(utc)
>>> utc_dt2.strftime(fmt)
'2006-03-26 21:34:59 UTC+0000'
``tzinfo`` API
--------------
The ``tzinfo`` instances returned by the ``timezone()`` function have
been extended to cope with ambiguous times by adding an ``is_dst``
parameter to the ``utcoffset()``, ``dst()`` && ``tzname()`` methods.
>>> tz = timezone('America/St_Johns')
>>> normal = datetime(2009, 9, 1)
>>> ambiguous = datetime(2009, 10, 31, 23, 30)
The ``is_dst`` parameter is ignored for most timestamps. It is only used
during DST transition ambiguous periods to resolve that ambiguity.
>>> print(tz.utcoffset(normal, is_dst=True))
-1 day, 21:30:00
>>> print(tz.dst(normal, is_dst=True))
1:00:00
>>> tz.tzname(normal, is_dst=True)
'NDT'
>>> print(tz.utcoffset(ambiguous, is_dst=True))
-1 day, 21:30:00
>>> print(tz.dst(ambiguous, is_dst=True))
1:00:00
>>> tz.tzname(ambiguous, is_dst=True)
'NDT'
>>> print(tz.utcoffset(normal, is_dst=False))
-1 day, 21:30:00
>>> tz.dst(normal, is_dst=False)
datetime.timedelta(0, 3600)
>>> tz.tzname(normal, is_dst=False)
'NDT'
>>> print(tz.utcoffset(ambiguous, is_dst=False))
-1 day, 20:30:00
>>> tz.dst(ambiguous, is_dst=False)
datetime.timedelta(0)
>>> tz.tzname(ambiguous, is_dst=False)
'NST'
If ``is_dst`` is not specified, ambiguous timestamps will raise
an ``pytz.exceptions.AmbiguousTimeError`` exception.
>>> print(tz.utcoffset(normal))
-1 day, 21:30:00
>>> print(tz.dst(normal))
1:00:00
>>> tz.tzname(normal)
'NDT'
>>> import pytz.exceptions
>>> try:
... tz.utcoffset(ambiguous)
... except pytz.exceptions.AmbiguousTimeError:
... print('pytz.exceptions.AmbiguousTimeError: %s' % ambiguous)
pytz.exceptions.AmbiguousTimeError: 2009-10-31 23:30:00
>>> try:
... tz.dst(ambiguous)
... except pytz.exceptions.AmbiguousTimeError:
... print('pytz.exceptions.AmbiguousTimeError: %s' % ambiguous)
pytz.exceptions.AmbiguousTimeError: 2009-10-31 23:30:00
>>> try:
... tz.tzname(ambiguous)
... except pytz.exceptions.AmbiguousTimeError:
... print('pytz.exceptions.AmbiguousTimeError: %s' % ambiguous)
pytz.exceptions.AmbiguousTimeError: 2009-10-31 23:30:00
Problems with Localtime
~~~~~~~~~~~~~~~~~~~~~~~
The major problem we have to deal with is that certain datetimes
may occur twice in a year. For example, in the US/Eastern timezone
on the last Sunday morning in October, the following sequence
happens:
- 01:00 EDT occurs
- 1 hour later, instead of 2:00am the clock is turned back 1 hour
and 01:00 happens again (this time 01:00 EST)
In fact, every instant between 01:00 and 02:00 occurs twice. This means
that if you try and create a time in the 'US/Eastern' timezone
the standard datetime syntax, there is no way to specify if you meant
before of after the end-of-daylight-saving-time transition. Using the
pytz custom syntax, the best you can do is make an educated guess:
>>> loc_dt = eastern.localize(datetime(2002, 10, 27, 1, 30, 00))
>>> loc_dt.strftime(fmt)
'2002-10-27 01:30:00 EST-0500'
As you can see, the system has chosen one for you and there is a 50%
chance of it being out by one hour. For some applications, this does
not matter. However, if you are trying to schedule meetings with people
in different timezones or analyze log files it is not acceptable.
The best and simplest solution is to stick with using UTC. The pytz
package encourages using UTC for internal timezone representation by
including a special UTC implementation based on the standard Python
reference implementation in the Python documentation.
The UTC timezone unpickles to be the same instance, and pickles to a
smaller size than other pytz tzinfo instances. The UTC implementation
can be obtained as pytz.utc, pytz.UTC, or pytz.timezone('UTC').
>>> import pickle, pytz
>>> dt = datetime(2005, 3, 1, 14, 13, 21, tzinfo=utc)
>>> naive = dt.replace(tzinfo=None)
>>> p = pickle.dumps(dt, 1)
>>> naive_p = pickle.dumps(naive, 1)
>>> len(p) - len(naive_p)
17
>>> new = pickle.loads(p)
>>> new == dt
True
>>> new is dt
False
>>> new.tzinfo is dt.tzinfo
True
>>> pytz.utc is pytz.UTC is pytz.timezone('UTC')
True
Note that some other timezones are commonly thought of as the same (GMT,
Greenwich, Universal, etc.). The definition of UTC is distinct from these
other timezones, and they are not equivalent. For this reason, they will
not compare the same in Python.
>>> utc == pytz.timezone('GMT')
False
See the section `What is UTC`_, below.
If you insist on working with local times, this library provides a
facility for constructing them unambiguously:
>>> loc_dt = datetime(2002, 10, 27, 1, 30, 00)
>>> est_dt = eastern.localize(loc_dt, is_dst=True)
>>> edt_dt = eastern.localize(loc_dt, is_dst=False)
>>> print(est_dt.strftime(fmt) + ' / ' + edt_dt.strftime(fmt))
2002-10-27 01:30:00 EDT-0400 / 2002-10-27 01:30:00 EST-0500
If you pass None as the is_dst flag to localize(), pytz will refuse to
guess and raise exceptions if you try to build ambiguous or non-existent
times.
For example, 1:30am on 27th Oct 2002 happened twice in the US/Eastern
timezone when the clocks where put back at the end of Daylight Saving
Time:
>>> dt = datetime(2002, 10, 27, 1, 30, 00)
>>> try:
... eastern.localize(dt, is_dst=None)
... except pytz.exceptions.AmbiguousTimeError:
... print('pytz.exceptions.AmbiguousTimeError: %s' % dt)
pytz.exceptions.AmbiguousTimeError: 2002-10-27 01:30:00
Similarly, 2:30am on 7th April 2002 never happened at all in the
US/Eastern timezone, as the clocks where put forward at 2:00am skipping
the entire hour:
>>> dt = datetime(2002, 4, 7, 2, 30, 00)
>>> try:
... eastern.localize(dt, is_dst=None)
... except pytz.exceptions.NonExistentTimeError:
... print('pytz.exceptions.NonExistentTimeError: %s' % dt)
pytz.exceptions.NonExistentTimeError: 2002-04-07 02:30:00
Both of these exceptions share a common base class to make error handling
easier:
>>> isinstance(pytz.AmbiguousTimeError(), pytz.InvalidTimeError)
True
>>> isinstance(pytz.NonExistentTimeError(), pytz.InvalidTimeError)
True
A special case is where countries change their timezone definitions
with no daylight savings time switch. For example, in 1915 Warsaw
switched from Warsaw time to Central European time with no daylight savings
transition. So at the stroke of midnight on August 5th 1915 the clocks
were wound back 24 minutes creating an ambiguous time period that cannot
be specified without referring to the timezone abbreviation or the
actual UTC offset. In this case midnight happened twice, neither time
during a daylight saving time period. pytz handles this transition by
treating the ambiguous period before the switch as daylight savings
time, and the ambiguous period after as standard time.
>>> warsaw = pytz.timezone('Europe/Warsaw')
>>> amb_dt1 = warsaw.localize(datetime(1915, 8, 4, 23, 59, 59), is_dst=True)
>>> amb_dt1.strftime(fmt)
'1915-08-04 23:59:59 WMT+0124'
>>> amb_dt2 = warsaw.localize(datetime(1915, 8, 4, 23, 59, 59), is_dst=False)
>>> amb_dt2.strftime(fmt)
'1915-08-04 23:59:59 CET+0100'
>>> switch_dt = warsaw.localize(datetime(1915, 8, 5, 00, 00, 00), is_dst=False)
>>> switch_dt.strftime(fmt)
'1915-08-05 00:00:00 CET+0100'
>>> str(switch_dt - amb_dt1)
'0:24:01'
>>> str(switch_dt - amb_dt2)
'0:00:01'
The best way of creating a time during an ambiguous time period is
by converting from another timezone such as UTC:
>>> utc_dt = datetime(1915, 8, 4, 22, 36, tzinfo=pytz.utc)
>>> utc_dt.astimezone(warsaw).strftime(fmt)
'1915-08-04 23:36:00 CET+0100'
The standard Python way of handling all these ambiguities is not to
handle them, such as demonstrated in this example using the US/Eastern
timezone definition from the Python documentation (Note that this
implementation only works for dates between 1987 and 2006 - it is
included for tests only!):
>>> from pytz.reference import Eastern # pytz.reference only for tests
>>> dt = datetime(2002, 10, 27, 0, 30, tzinfo=Eastern)
>>> str(dt)
'2002-10-27 00:30:00-04:00'
>>> str(dt + timedelta(hours=1))
'2002-10-27 01:30:00-05:00'
>>> str(dt + timedelta(hours=2))
'2002-10-27 02:30:00-05:00'
>>> str(dt + timedelta(hours=3))
'2002-10-27 03:30:00-05:00'
Notice the first two results? At first glance you might think they are
correct, but taking the UTC offset into account you find that they are
actually two hours appart instead of the 1 hour we asked for.
>>> from pytz.reference import UTC # pytz.reference only for tests
>>> str(dt.astimezone(UTC))
'2002-10-27 04:30:00+00:00'
>>> str((dt + timedelta(hours=1)).astimezone(UTC))
'2002-10-27 06:30:00+00:00'
Country Information
~~~~~~~~~~~~~~~~~~~
A mechanism is provided to access the timezones commonly in use
for a particular country, looked up using the ISO 3166 country code.
It returns a list of strings that can be used to retrieve the relevant
tzinfo instance using ``pytz.timezone()``:
>>> print(' '.join(pytz.country_timezones['nz']))
Pacific/Auckland Pacific/Chatham
The Olson database comes with a ISO 3166 country code to English country
name mapping that pytz exposes as a dictionary:
>>> print(pytz.country_names['nz'])
New Zealand
What is UTC
~~~~~~~~~~~
'UTC' is `Coordinated Universal Time`_. It is a successor to, but distinct
from, Greenwich Mean Time (GMT) and the various definitions of Universal
Time. UTC is now the worldwide standard for regulating clocks and time
measurement.
All other timezones are defined relative to UTC, and include offsets like
UTC+0800 - hours to add or subtract from UTC to derive the local time. No
daylight saving time occurs in UTC, making it a useful timezone to perform
date arithmetic without worrying about the confusion and ambiguities caused
by daylight saving time transitions, your country changing its timezone, or
mobile computers that roam through multiple timezones.
.. _Coordinated Universal Time: https://en.wikipedia.org/wiki/Coordinated_Universal_Time
Helpers
~~~~~~~
There are two lists of timezones provided.
``all_timezones`` is the exhaustive list of the timezone names that can
be used.
>>> from pytz import all_timezones
>>> len(all_timezones) >= 500
True
>>> 'Etc/Greenwich' in all_timezones
True
``common_timezones`` is a list of useful, current timezones. It doesn't
contain deprecated zones or historical zones, except for a few I've
deemed in common usage, such as US/Eastern (open a bug report if you
think other timezones are deserving of being included here). It is also
a sequence of strings.
>>> from pytz import common_timezones
>>> len(common_timezones) < len(all_timezones)
True
>>> 'Etc/Greenwich' in common_timezones
False
>>> 'Australia/Melbourne' in common_timezones
True
>>> 'US/Eastern' in common_timezones
True
>>> 'Canada/Eastern' in common_timezones
True
>>> 'Australia/Yancowinna' in all_timezones
True
>>> 'Australia/Yancowinna' in common_timezones
False
Both ``common_timezones`` and ``all_timezones`` are alphabetically
sorted:
>>> common_timezones_dupe = common_timezones[:]
>>> common_timezones_dupe.sort()
>>> common_timezones == common_timezones_dupe
True
>>> all_timezones_dupe = all_timezones[:]
>>> all_timezones_dupe.sort()
>>> all_timezones == all_timezones_dupe
True
``all_timezones`` and ``common_timezones`` are also available as sets.
>>> from pytz import all_timezones_set, common_timezones_set
>>> 'US/Eastern' in all_timezones_set
True
>>> 'US/Eastern' in common_timezones_set
True
>>> 'Australia/Victoria' in common_timezones_set
False
You can also retrieve lists of timezones used by particular countries
using the ``country_timezones()`` function. It requires an ISO-3166
two letter country code.
>>> from pytz import country_timezones
>>> print(' '.join(country_timezones('ch')))
Europe/Zurich
>>> print(' '.join(country_timezones('CH')))
Europe/Zurich
Internationalization - i18n/l10n
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Pytz is an interface to the IANA database, which uses ASCII names. The `Unicode Consortium's Unicode Locales (CLDR) <http://cldr.unicode.org>`_
project provides translations. Thomas Khyn's
`l18n <https://pypi.org/project/l18n/>`_ package can be used to access
these translations from Python.
License
~~~~~~~
MIT license.
This code is also available as part of Zope 3 under the Zope Public
License, Version 2.1 (ZPL).
I'm happy to relicense this code if necessary for inclusion in other
open source projects.
Latest Versions
~~~~~~~~~~~~~~~
This package will be updated after releases of the Olson timezone
database. The latest version can be downloaded from the `Python Package
Index <https://pypi.org/project/pytz/>`_. The code that is used
to generate this distribution is hosted on launchpad.net and available
using git::
git clone https://git.launchpad.net/pytz
A mirror on github is also available at https://github.com/stub42/pytz
Announcements of new releases are made on
`Launchpad <https://launchpad.net/pytz>`_, and the
`Atom feed <http://feeds.launchpad.net/pytz/announcements.atom>`_
hosted there.
Bugs, Feature Requests & Patches
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Bugs can be reported using `Launchpad Bugs <https://bugs.launchpad.net/pytz>`_.
Security Issues
~~~~~~~~~~~~~~~
Reports about security issues can be made via `Tidelift <https://tidelift.com/security>`_.
Issues & Limitations
~~~~~~~~~~~~~~~~~~~~
- Offsets from UTC are rounded to the nearest whole minute, so timezones
such as Europe/Amsterdam pre 1937 will be up to 30 seconds out. This
is a limitation of the Python datetime library.
- If you think a timezone definition is incorrect, I probably can't fix
it. pytz is a direct translation of the Olson timezone database, and
changes to the timezone definitions need to be made to this source.
If you find errors they should be reported to the time zone mailing
list, linked from http://www.iana.org/time-zones.
Further Reading
~~~~~~~~~~~~~~~
More info than you want to know about timezones:
http://www.twinsun.com/tz/tz-link.htm
Contact
~~~~~~~
Stuart Bishop <stuart@stuartbishop.net>

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pytz-2020.5.dist-info/INSTALLER,sha256=zuuue4knoyJ-UwPPXg8fezS7VCrXJQrAP7zeNuwvFQg,4
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pytz/zoneinfo/America/Inuvik,sha256=MU_oDiidQaijt1KV0B5h9LqHoCrJ8ieldD9tsiJiX5o,1894
pytz/zoneinfo/America/Iqaluit,sha256=6PitEMSFWcSb-Io8fvm4oQ_7v39G_qANc6reTjXoZJ0,2032
pytz/zoneinfo/America/Jamaica,sha256=wlagieUPRf5-beie-h7QsONbNzjGsm8vMs8uf28pw28,482
pytz/zoneinfo/America/Jujuy,sha256=5HR0TlZFifwJ5nLTmg7yWXgCTx9mRhahfs4_Wq70wOY,1048
pytz/zoneinfo/America/Juneau,sha256=k7hxb0aGRnfnE-DBi3LkcjAzRPyAf0_Hw0vVFfjGeb0,2353
pytz/zoneinfo/America/Kentucky/Louisville,sha256=-yqgeeHZdq6oP3_WzVvYOmqV9HQv8y7ZWmc9bzHvJAY,2772
pytz/zoneinfo/America/Kentucky/Monticello,sha256=NJMKjG7jjlRzZhndMPw51bYW0D3jviW2Qbl70YcU0Gg,2352
pytz/zoneinfo/America/Knox_IN,sha256=BiALShjiOLg1o8mMRWJ1jyTlJkgvwzte7B9WSOvTUNg,2428
pytz/zoneinfo/America/Kralendijk,sha256=ZGEIylAZ5iy_rIBsXREtH_ZfWRIkLI9dQjP_EIyn3sY,186
pytz/zoneinfo/America/La_Paz,sha256=PAGF2VU_QOw2xT1Cqdp2P8Aj9hXMVWlCByV7cvfIQ_k,232
pytz/zoneinfo/America/Lima,sha256=JHDCg95uw6BEu4a4Gfyikm1s8rm8AsYPG8dJxQQNZFs,406
pytz/zoneinfo/America/Los_Angeles,sha256=VOy1PikdjiVdJ7lukVGzwl8uDxV_KYqznkTm5BLEiDM,2836
pytz/zoneinfo/America/Louisville,sha256=-yqgeeHZdq6oP3_WzVvYOmqV9HQv8y7ZWmc9bzHvJAY,2772
pytz/zoneinfo/America/Lower_Princes,sha256=ZGEIylAZ5iy_rIBsXREtH_ZfWRIkLI9dQjP_EIyn3sY,186
pytz/zoneinfo/America/Maceio,sha256=pzjNghmeHhvF4aI3cDq2G_5t71BSNGIbRAF5NmJyDmw,744
pytz/zoneinfo/America/Managua,sha256=xBzF01AHn2E2fD8Qdy-DHFe36UqoeNpKPfChduBKWdk,430
pytz/zoneinfo/America/Manaus,sha256=lp6RlkcXJQ7mSsKqnEgC8svJVrFDJk_16xxvfpNSpK4,604
pytz/zoneinfo/America/Marigot,sha256=17gT2eOVMFKJF_sypwDPudkFwGEijrRfkBU-aK3FL60,148
pytz/zoneinfo/America/Martinique,sha256=fMs80kOU2YFvC0f9y2eje97JeAtTYBamXrnlTunNLzQ,232
pytz/zoneinfo/America/Matamoros,sha256=RlEMOT_zvCLQ8s7TNvRE2PnC4H9JrxO7MGxmfu5xPPI,1390
pytz/zoneinfo/America/Mazatlan,sha256=aIyre-8trAXSHtqxbuu6gDDkWCUjI_SdAKPIjz74M2E,1526
pytz/zoneinfo/America/Mendoza,sha256=5DJiYYeQpcLBR_IoIJtk43IswJeGYawx5GykszuJ-Nw,1076
pytz/zoneinfo/America/Menominee,sha256=Arv9WLbfhNcpRsUjHDU757BEdwlp08Gt30AixG3gZ04,2274
pytz/zoneinfo/America/Merida,sha256=BJQ5mzAT-akb_EA7WqGdNheCorDqLBnDS_4X3YJz0rc,1422
pytz/zoneinfo/America/Metlakatla,sha256=twmieGTVY2V-U8nFxqvx7asYv8GVjeWdLtrOI7UApVI,1423
pytz/zoneinfo/America/Mexico_City,sha256=DSpTe5TT0KBsxGx79Rs7ah-zJpiGOJKwPjztovRN0b4,1584
pytz/zoneinfo/America/Miquelon,sha256=LNbkN87EnZUa41Xizko5VIN55EyQvf5Kk5b5AfNQG8Q,1666
pytz/zoneinfo/America/Moncton,sha256=Wmv-bk9aKKcWWzOpc1UFu67HOfwaIk2Wmh3LgqGctys,3154
pytz/zoneinfo/America/Monterrey,sha256=HA4yn9jQHk9i0PqiB7fSoFdzXtB1DT1cheGRPXrQNdQ,1390
pytz/zoneinfo/America/Montevideo,sha256=4jcgTegK5X8F0yNYzk-3oySZ4U9XQ09UbTJ_mlu8N70,1510
pytz/zoneinfo/America/Montreal,sha256=ggOSzbHkmfgu9wTQzP0MUKsrKMbgveuAeThh1eFl1a0,3494
pytz/zoneinfo/America/Montserrat,sha256=17gT2eOVMFKJF_sypwDPudkFwGEijrRfkBU-aK3FL60,148
pytz/zoneinfo/America/Nassau,sha256=MEpB_L1x3UnwwqjOwNqDvCfgQYPOnhB2jewLwiOxV4g,2388
pytz/zoneinfo/America/New_York,sha256=7AoiEGjr3wV4P7C4Qs35COZqwr2mjNDq7ocpsSPFOM8,3536
pytz/zoneinfo/America/Nipigon,sha256=EGPXcOin8mfzFTkYJm4ICpY7fyE24I2pXg4ejafSMyU,2122
pytz/zoneinfo/America/Nome,sha256=2izM3-P-PqJ9za6MdhzFfMvPFNq7Gim69tAvEwPeY2s,2367
pytz/zoneinfo/America/Noronha,sha256=3R4lLV8jg5SljhC5OVVCk51Y77Efjo6zCe-oppg_FFo,716
pytz/zoneinfo/America/North_Dakota/Beulah,sha256=PHlzEk3wsNXYsfMZZSio7ZfdnyxPFpOhK3dS-1AJKGg,2380
pytz/zoneinfo/America/North_Dakota/Center,sha256=PaM52_JOVMEpVdw5qiOlhkp3qA0xp0d6Z9neOatmLKo,2380
pytz/zoneinfo/America/North_Dakota/New_Salem,sha256=o0xmH1FUh3lVFLtP5Lb9c0PfSyaPTsRvQSQYwnn_yls,2380
pytz/zoneinfo/America/Nuuk,sha256=FtlXWP_hBNuwBHkI2b1yne_tSUJpwLtWLyTHZoFZkmM,1878
pytz/zoneinfo/America/Ojinaga,sha256=cO3V-x_1Q-mpbJgKNd6-WTfxDEHBV1aqS4wzVl5A0Q4,1484
pytz/zoneinfo/America/Panama,sha256=kayA_pdpMcSQ0FjIzotdcf-m1JYfbKE-qcFT8LC8zqA,182
pytz/zoneinfo/America/Pangnirtung,sha256=P9Kw_I-NxcUYJIr1j40jTn9q7F8TPAE_FqXsfLYF86A,2094
pytz/zoneinfo/America/Paramaribo,sha256=Hm5tDwUmnoTrTUPEO4WArfSF74ZjywVEocy4kL51FzA,262
pytz/zoneinfo/America/Phoenix,sha256=nEOwYOnGxENw9zW8m50PGxbtVfTrX3QYAo4x4LgOLfI,328
pytz/zoneinfo/America/Port-au-Prince,sha256=09ZAJd4IOiMpfdpUuF1U44R_hRt6BvpAkFXOnYO9yOM,1434
pytz/zoneinfo/America/Port_of_Spain,sha256=17gT2eOVMFKJF_sypwDPudkFwGEijrRfkBU-aK3FL60,148
pytz/zoneinfo/America/Porto_Acre,sha256=17onkm8P_VgMkErjK9rr0qwNni7qp9tgcUZ93g3ltOs,628
pytz/zoneinfo/America/Porto_Velho,sha256=ZRfzgGEu26hnl3JPtiZLOSFGj_WBSbOKdiLC1xIyc5c,576
pytz/zoneinfo/America/Puerto_Rico,sha256=hJHlV_-AGoMGUWuMpZRv9fLmghrzFHfrR9fRkcxaZJc,246
pytz/zoneinfo/America/Punta_Arenas,sha256=kpqStczF3X0yK0lwOcxmwbQM8ZV9MrNktm7orJF-EJc,1902
pytz/zoneinfo/America/Rainy_River,sha256=r6kx6lD2IzCdygkj-DKyL2tPSn7k0Zil7PSHCBFKOa0,2122
pytz/zoneinfo/America/Rankin_Inlet,sha256=KpQX97-EuF4MNyxQrtOKP616CK_vjniM-lo14WGVz0c,1892
pytz/zoneinfo/America/Recife,sha256=ijFN2ZzZe5oBYdl8Ag3SwmGjj2JeVYYX2Vo767g2s6I,716
pytz/zoneinfo/America/Regina,sha256=yjqT08pHbICYe83H8JmtaDBvCFqRv7Tfze3Y8xuXukw,980
pytz/zoneinfo/America/Resolute,sha256=VP_u5XsepfSwx7Ou9zjGw2p5Qi10AIA54sP1J2DkppM,1892
pytz/zoneinfo/America/Rio_Branco,sha256=17onkm8P_VgMkErjK9rr0qwNni7qp9tgcUZ93g3ltOs,628
pytz/zoneinfo/America/Rosario,sha256=1XqIP8Qo2bPR7909hrAI-qAttybmwEW4ms7FjZA5Yfw,1076
pytz/zoneinfo/America/Santa_Isabel,sha256=OHHtvy3J70z6wvKBHgPqMEnGs6SXp8fkf0WX9ZiOODk,2342
pytz/zoneinfo/America/Santarem,sha256=Gl_lI3pPZ57UIYXWcmaTpFqWDA5re6bHh1nWs_Z0-Nc,602
pytz/zoneinfo/America/Santiago,sha256=GB14PW0xABV283dXc8qL-nnDW-ViFUR3bne7sg0Aido,2529
pytz/zoneinfo/America/Santo_Domingo,sha256=DKtaEj8fQ92ybITTWU4Bm160S9pzJmUVbjaWRnenxU4,458
pytz/zoneinfo/America/Sao_Paulo,sha256=cO3VGekMGdSf1y4f_UgkpDMRes26-l1oGUoDglIiUQg,1444
pytz/zoneinfo/America/Scoresbysund,sha256=dfHb86egoiNykb3bR3OHXpGFPm_Apck8BLiVTCqVAVc,1916
pytz/zoneinfo/America/Shiprock,sha256=6_yPo1_mvnt9DgpPzr0QdHsjdsfUG6ALnagQLML1DSM,2444
pytz/zoneinfo/America/Sitka,sha256=aiS7Fk37hZpzZ9VkeJQeF-BqTLRC1QOTCgMAJwT8UxA,2329
pytz/zoneinfo/America/St_Barthelemy,sha256=17gT2eOVMFKJF_sypwDPudkFwGEijrRfkBU-aK3FL60,148
pytz/zoneinfo/America/St_Johns,sha256=r1-17uKv27eZ3JsVkw_DLZQbo6wvjuuVu7C2pDsmOgI,3655
pytz/zoneinfo/America/St_Kitts,sha256=17gT2eOVMFKJF_sypwDPudkFwGEijrRfkBU-aK3FL60,148
pytz/zoneinfo/America/St_Lucia,sha256=17gT2eOVMFKJF_sypwDPudkFwGEijrRfkBU-aK3FL60,148
pytz/zoneinfo/America/St_Thomas,sha256=17gT2eOVMFKJF_sypwDPudkFwGEijrRfkBU-aK3FL60,148
pytz/zoneinfo/America/St_Vincent,sha256=17gT2eOVMFKJF_sypwDPudkFwGEijrRfkBU-aK3FL60,148
pytz/zoneinfo/America/Swift_Current,sha256=RRKOF7vZC8VvYxD8PP4J1_hUPayKBP7Lu80avRkfPDY,560
pytz/zoneinfo/America/Tegucigalpa,sha256=EzOz7ntTlreMq69JZ2CcAb8Ps98V9bUMN480tpPIyw4,252
pytz/zoneinfo/America/Thule,sha256=8xuPRaZU8RgO5ECqFYHYmnHioc81sBOailkVu8Y02i8,1502
pytz/zoneinfo/America/Thunder_Bay,sha256=cJ9lcf2mDZttEx_ttYYoZAJfuGhSsDgNV2PI-ggWdPE,2202
pytz/zoneinfo/America/Tijuana,sha256=OHHtvy3J70z6wvKBHgPqMEnGs6SXp8fkf0WX9ZiOODk,2342
pytz/zoneinfo/America/Toronto,sha256=ggOSzbHkmfgu9wTQzP0MUKsrKMbgveuAeThh1eFl1a0,3494
pytz/zoneinfo/America/Tortola,sha256=17gT2eOVMFKJF_sypwDPudkFwGEijrRfkBU-aK3FL60,148
pytz/zoneinfo/America/Vancouver,sha256=sknKH0jSPWam-DHfM35qXs8Nam7d5TFlkUI9Sgxryyg,2892
pytz/zoneinfo/America/Virgin,sha256=17gT2eOVMFKJF_sypwDPudkFwGEijrRfkBU-aK3FL60,148
pytz/zoneinfo/America/Whitehorse,sha256=Kfv607qGHJxXGBP1nPJyNg2_duWrmxhZGFQr82ukgq8,1614
pytz/zoneinfo/America/Winnipeg,sha256=7P-_YQrneFcon7QKSTOnkiGjEppFDn3Z48MJ1qq8VBw,2868
pytz/zoneinfo/America/Yakutat,sha256=tFwnKbvwhyyn4LNTAn5ye_JWDdxjCerNDt7oOwUwO2M,2305
pytz/zoneinfo/America/Yellowknife,sha256=pfFvC8NEy373KbO6r6ec-Gw_O0D2h64mXU1X1AsUDgE,1966
pytz/zoneinfo/Antarctica/Casey,sha256=a_ShNA5q27F-GNPiFPttIhhdHc1MP485jX6pwRjZ_t0,384
pytz/zoneinfo/Antarctica/Davis,sha256=6PokyOaaISRTN13sisuGgdt5vG5A2YqNooJpfLTb5SQ,297
pytz/zoneinfo/Antarctica/DumontDUrville,sha256=g8HQLY-aN3p6az-04KdHOdZYFnN__-8ltHRuY9eQX-I,194
pytz/zoneinfo/Antarctica/Macquarie,sha256=ie7RlaU8RHTorVVj-MX8StKMqx_oXf4UH2PUqpzcwe0,2260
pytz/zoneinfo/Antarctica/Mawson,sha256=9TW1g_z0tk5EfeB7K69VJo8agO7-K9ZxWbiqNKnUZNE,199
pytz/zoneinfo/Antarctica/McMurdo,sha256=gADjoyPo_QISQU6UJrAgcHp3HDaMoOFRdH-d23uBSyc,2437
pytz/zoneinfo/Antarctica/Palmer,sha256=DW_DXByXg5MnMZ-w1bNdu8b0lKOYD_EgrPRd5EcyEm4,1418
pytz/zoneinfo/Antarctica/Rothera,sha256=QQI1m1IN4_2e6Bb0z-rOYaOwxp4XjMJDOKM9SFDUPKg,164
pytz/zoneinfo/Antarctica/South_Pole,sha256=gADjoyPo_QISQU6UJrAgcHp3HDaMoOFRdH-d23uBSyc,2437
pytz/zoneinfo/Antarctica/Syowa,sha256=VnmdVypdJUhsBw1XuXZEcEQIFmoiqoYcdpl8ht37QgY,165
pytz/zoneinfo/Antarctica/Troll,sha256=3zrh-P_jMCss9GGwHJJHkypZZydq4mkgo_TDqctn3c4,1162
pytz/zoneinfo/Antarctica/Vostok,sha256=6tx86WD3MVGJBCbOJUCoA6YlGwCn2BT4B85Zss0vz4Y,165
pytz/zoneinfo/Arctic/Longyearbyen,sha256=UdCERhj1JYpx3ojmilaRoyVoR4qMA1-PEv6hGwnpsJA,2228
pytz/zoneinfo/Asia/Aden,sha256=rq9KPj8l0FBnnKn93WkMeA1IngNtTzk5_oV4sEZhc4w,165
pytz/zoneinfo/Asia/Almaty,sha256=rBIl_pqZNmKZabjEa4mcsLahl9PbAdZJpQMQLVmcfBU,997
pytz/zoneinfo/Asia/Amman,sha256=bvwhc1hPCGvQMqWzaoCHrCA_y78n3H-Z2t4wHSocuAw,1853
pytz/zoneinfo/Asia/Anadyr,sha256=hDDTly45ejoVVP9Al07TmKpTACNGJaIPlcXLRbsG_4g,1188
pytz/zoneinfo/Asia/Aqtau,sha256=A5exZN256JagFJTcasgdCrQ8giOqZ2EFMRVYBWTaqZA,983
pytz/zoneinfo/Asia/Aqtobe,sha256=LQ7P5LEEe7jbWbjqvzmM79c0o6AdZeCExQS-fOWp8yw,1011
pytz/zoneinfo/Asia/Ashgabat,sha256=L4DYV2mZWycsYeHIypXzO6ZNY3tD8wjgxfPR2ZPW26c,619
pytz/zoneinfo/Asia/Ashkhabad,sha256=L4DYV2mZWycsYeHIypXzO6ZNY3tD8wjgxfPR2ZPW26c,619
pytz/zoneinfo/Asia/Atyrau,sha256=3uEo89ORyDJqQ_TtaQdIf9UPaB8WqIRQVi0geeY9gVE,991
pytz/zoneinfo/Asia/Baghdad,sha256=lQMSUnOuijbcoTaCqMNnYhnvKtS2IVP_kXFAzePVNDU,983
pytz/zoneinfo/Asia/Bahrain,sha256=V0rFJdLHIrToJ5Wl28VzVowwCVZoY8ZZSeNp-7kOvjY,199
pytz/zoneinfo/Asia/Baku,sha256=vhHnliaOdRyNudl0sFJFdLynEg0Hc0I-IiZNfbDeCbM,1227
pytz/zoneinfo/Asia/Bangkok,sha256=eYq0vh89N1j069URoQvtBu0ndEal6FPrtbF8WCKKpDw,199
pytz/zoneinfo/Asia/Barnaul,sha256=2c1Cq8XYlBgybRQMP8w0NCf7kaLDrPZtGn4M5iJZbJo,1221
pytz/zoneinfo/Asia/Beirut,sha256=_Z_2ZAg_iL9vU51JDB8CB04uXBDrf1kLIis-JnXaS2o,2154
pytz/zoneinfo/Asia/Bishkek,sha256=do_4ki1JvSKupUrvlz9jRkHspDhdvk1D2IkByFskjJM,983
pytz/zoneinfo/Asia/Brunei,sha256=BMMjwEmZ9rMoNpWfg8IrlLhRbMKbdW48padRF-FGolc,203
pytz/zoneinfo/Asia/Calcutta,sha256=6Qw0EDbLcgMgDik8s7UTJn4QSjmllPNeGVJU5rwKF88,285
pytz/zoneinfo/Asia/Chita,sha256=4ICOcAVAEWnP-cdf_YJu1_kCYnYPG2_vYfSbuNI-VwI,1221
pytz/zoneinfo/Asia/Choibalsan,sha256=sJQAAjiT9VyG73dYhpYkq4tcmfITcPpiAa8YXsDlKag,949
pytz/zoneinfo/Asia/Chongqing,sha256=ZP_C5DqUQ1oEPAQNHTr36S0DGtx453N68YYbqk7u8-Y,561
pytz/zoneinfo/Asia/Chungking,sha256=ZP_C5DqUQ1oEPAQNHTr36S0DGtx453N68YYbqk7u8-Y,561
pytz/zoneinfo/Asia/Colombo,sha256=HGea9jswIIgz7k20LTzbKtQyUun67IP5HvsZrmAJZJY,372
pytz/zoneinfo/Asia/Dacca,sha256=3K5llGhcpCdZMMcJuomICVv7lZlDRpU4PUb5DtFx8l4,337
pytz/zoneinfo/Asia/Damascus,sha256=6mcB6bxH1KsLqzb_LmJUT3tUDnq9_ScLFKoMFkcZy3A,2294
pytz/zoneinfo/Asia/Dhaka,sha256=3K5llGhcpCdZMMcJuomICVv7lZlDRpU4PUb5DtFx8l4,337
pytz/zoneinfo/Asia/Dili,sha256=ptjbacc9JK0pv2JpD-gHMglrwYNj9LMMIua0U0ZTMUc,227
pytz/zoneinfo/Asia/Dubai,sha256=-ga0m3ua9Y6kSWREz2_VdtcVAkq83WrW3vxjBI7WNGs,165
pytz/zoneinfo/Asia/Dushanbe,sha256=FUk9Tt_GimfRulcWamEvuOvA7FQ52YfZqQ2w88qMx6M,591
pytz/zoneinfo/Asia/Famagusta,sha256=CFrcygd8ude5x6OEtfM_Dw0KYHoxpPPzq46KoHVxjjc,2028
pytz/zoneinfo/Asia/Gaza,sha256=LPrVQ4DY43CC-2CnMLx6VEt4IP26P6Jw0HRlhbEbXHo,2422
pytz/zoneinfo/Asia/Harbin,sha256=ZP_C5DqUQ1oEPAQNHTr36S0DGtx453N68YYbqk7u8-Y,561
pytz/zoneinfo/Asia/Hebron,sha256=dXAP5ZeuPWJZLh6Y41hEz3owiuqElZxn1SKtdWaeKtw,2450
pytz/zoneinfo/Asia/Ho_Chi_Minh,sha256=L5TXNg6-odIIn-JAyLTR8fKFiUFBNFwy0HzwZchbnm4,351
pytz/zoneinfo/Asia/Hong_Kong,sha256=UcnFEc9S8hMWl9giVXni4TAhLPWX0H12XvwSt4AJHew,1203
pytz/zoneinfo/Asia/Hovd,sha256=JUnOos7PNTi2VRKxD6XnaVR3NpuhsX_Pi18rIzVe1xw,891
pytz/zoneinfo/Asia/Irkutsk,sha256=iUJZCVBjpfB4rNKJOr6g0zUZtccYYk_Gk0wTklx8Yj0,1243
pytz/zoneinfo/Asia/Istanbul,sha256=2S0A_f7VxvyErJMMCPqK33AChA29IVkMr1o-SpMtMxk,1947
pytz/zoneinfo/Asia/Jakarta,sha256=_WRgz6Zb6wxIXtMwpKjG4w4PJtDRzkhdrw-3a4NCBFA,355
pytz/zoneinfo/Asia/Jayapura,sha256=ihzUd-L8HUVqG-Na10MyPE-YYwjVFj-xerqjTN4EJZs,221
pytz/zoneinfo/Asia/Jerusalem,sha256=JUuWQmW5Tha0pJjw61Q5aN7CX0z4D7ops9OOSnda6Dc,2388
pytz/zoneinfo/Asia/Kabul,sha256=ial7SvweHTQXDl79MnXm6QHtiw2i7Zt1e5urLXU8Sq8,208
pytz/zoneinfo/Asia/Kamchatka,sha256=pBA0RbynKTKsMCmf2hJMZ_hgVUPemms-VceMMJ7QC64,1166
pytz/zoneinfo/Asia/Karachi,sha256=iB-mWMTXUyfBwAkZdz8_UmEw0xsgxIub-KNI7akzhkk,379
pytz/zoneinfo/Asia/Kashgar,sha256=AEXDJ5PxQOhePZZw1QZl98moDNa-bW3I3WVNQZHBPYA,165
pytz/zoneinfo/Asia/Kathmandu,sha256=TUeW7rDSifOTSsNxvo9igIYZfGITEZUf-0EjglyRDWs,212
pytz/zoneinfo/Asia/Katmandu,sha256=TUeW7rDSifOTSsNxvo9igIYZfGITEZUf-0EjglyRDWs,212
pytz/zoneinfo/Asia/Khandyga,sha256=XYzE2tsE5Say9pg0cHDQkEE9aTuy2piFSLAGx_d-dmM,1271
pytz/zoneinfo/Asia/Kolkata,sha256=6Qw0EDbLcgMgDik8s7UTJn4QSjmllPNeGVJU5rwKF88,285
pytz/zoneinfo/Asia/Krasnoyarsk,sha256=nzRw4PI2AiK_Ge854b8U7TSDw0LGQy3ca5YuOOU2XwI,1207
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pytz/zoneinfo/iso3166.tab,sha256=BMh_yY7MXp8DMEy71jarFX3IJSNpwuEyIjIo2HKUXD4,4463
pytz/zoneinfo/leapseconds,sha256=RsEIB_LQGp6HLUj0RLadn4rtq-VEBdYoSaVdNXFISA4,3388
pytz/zoneinfo/tzdata.zi,sha256=zIWuTXiIRd8lZwwZvO37rBZRzo_1O0_7BMgB8ZOeqhM,113146
pytz/zoneinfo/zone.tab,sha256=2wzsaOCfYuhhMxZsFO9y1ckAPgD4uzBfbff64XV1qWU,19321
pytz/zoneinfo/zone1970.tab,sha256=EBkiCpmeio73EQXCl7T9lGFBT19NJwWPw8tqkCc0QRI,17835

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Wheel-Version: 1.0
Generator: bdist_wheel (0.30.0)
Root-Is-Purelib: true
Tag: py2-none-any
Tag: py3-none-any

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{"classifiers": ["Development Status :: 6 - Mature", "Intended Audience :: Developers", "License :: OSI Approved :: MIT License", "Natural Language :: English", "Operating System :: OS Independent", "Programming Language :: Python", "Programming Language :: Python :: 2", "Programming Language :: Python :: 2.4", "Programming Language :: Python :: 2.5", "Programming Language :: Python :: 2.6", "Programming Language :: Python :: 2.7", "Programming Language :: Python :: 3", "Programming Language :: Python :: 3.1", "Programming Language :: Python :: 3.2", "Programming Language :: Python :: 3.3", "Programming Language :: Python :: 3.4", "Programming Language :: Python :: 3.5", "Programming Language :: Python :: 3.6", "Programming Language :: Python :: 3.7", "Programming Language :: Python :: 3.8", "Programming Language :: Python :: 3.9", "Topic :: Software Development :: Libraries :: Python Modules"], "download_url": "https://pypi.org/project/pytz/", "extensions": {"python.details": {"contacts": [{"email": "stuart@stuartbishop.net", "name": "Stuart Bishop", "role": "author"}, {"email": "stuart@stuartbishop.net", "name": "Stuart Bishop", "role": "maintainer"}], "document_names": {"description": "DESCRIPTION.rst", "license": "LICENSE.txt"}, "project_urls": {"Home": "http://pythonhosted.org/pytz"}}}, "generator": "bdist_wheel (0.30.0)", "keywords": ["timezone", "tzinfo", "datetime", "olson", "time"], "license": "MIT", "metadata_version": "2.0", "name": "pytz", "platform": "Independent", "summary": "World timezone definitions, modern and historical", "version": "2020.5"}

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pytz

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'''
Custom exceptions raised by pytz.
'''
__all__ = [
'UnknownTimeZoneError', 'InvalidTimeError', 'AmbiguousTimeError',
'NonExistentTimeError',
]
class Error(Exception):
'''Base class for all exceptions raised by the pytz library'''
class UnknownTimeZoneError(KeyError, Error):
'''Exception raised when pytz is passed an unknown timezone.
>>> isinstance(UnknownTimeZoneError(), LookupError)
True
This class is actually a subclass of KeyError to provide backwards
compatibility with code relying on the undocumented behavior of earlier
pytz releases.
>>> isinstance(UnknownTimeZoneError(), KeyError)
True
And also a subclass of pytz.exceptions.Error, as are other pytz
exceptions.
>>> isinstance(UnknownTimeZoneError(), Error)
True
'''
pass
class InvalidTimeError(Error):
'''Base class for invalid time exceptions.'''
class AmbiguousTimeError(InvalidTimeError):
'''Exception raised when attempting to create an ambiguous wallclock time.
At the end of a DST transition period, a particular wallclock time will
occur twice (once before the clocks are set back, once after). Both
possibilities may be correct, unless further information is supplied.
See DstTzInfo.normalize() for more info
'''
class NonExistentTimeError(InvalidTimeError):
'''Exception raised when attempting to create a wallclock time that
cannot exist.
At the start of a DST transition period, the wallclock time jumps forward.
The instants jumped over never occur.
'''

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from threading import RLock
try:
from collections.abc import Mapping as DictMixin
except ImportError: # Python < 3.3
try:
from UserDict import DictMixin # Python 2
except ImportError: # Python 3.0-3.3
from collections import Mapping as DictMixin
# With lazy loading, we might end up with multiple threads triggering
# it at the same time. We need a lock.
_fill_lock = RLock()
class LazyDict(DictMixin):
"""Dictionary populated on first use."""
data = None
def __getitem__(self, key):
if self.data is None:
_fill_lock.acquire()
try:
if self.data is None:
self._fill()
finally:
_fill_lock.release()
return self.data[key.upper()]
def __contains__(self, key):
if self.data is None:
_fill_lock.acquire()
try:
if self.data is None:
self._fill()
finally:
_fill_lock.release()
return key in self.data
def __iter__(self):
if self.data is None:
_fill_lock.acquire()
try:
if self.data is None:
self._fill()
finally:
_fill_lock.release()
return iter(self.data)
def __len__(self):
if self.data is None:
_fill_lock.acquire()
try:
if self.data is None:
self._fill()
finally:
_fill_lock.release()
return len(self.data)
def keys(self):
if self.data is None:
_fill_lock.acquire()
try:
if self.data is None:
self._fill()
finally:
_fill_lock.release()
return self.data.keys()
class LazyList(list):
"""List populated on first use."""
_props = [
'__str__', '__repr__', '__unicode__',
'__hash__', '__sizeof__', '__cmp__',
'__lt__', '__le__', '__eq__', '__ne__', '__gt__', '__ge__',
'append', 'count', 'index', 'extend', 'insert', 'pop', 'remove',
'reverse', 'sort', '__add__', '__radd__', '__iadd__', '__mul__',
'__rmul__', '__imul__', '__contains__', '__len__', '__nonzero__',
'__getitem__', '__setitem__', '__delitem__', '__iter__',
'__reversed__', '__getslice__', '__setslice__', '__delslice__']
def __new__(cls, fill_iter=None):
if fill_iter is None:
return list()
# We need a new class as we will be dynamically messing with its
# methods.
class LazyList(list):
pass
fill_iter = [fill_iter]
def lazy(name):
def _lazy(self, *args, **kw):
_fill_lock.acquire()
try:
if len(fill_iter) > 0:
list.extend(self, fill_iter.pop())
for method_name in cls._props:
delattr(LazyList, method_name)
finally:
_fill_lock.release()
return getattr(list, name)(self, *args, **kw)
return _lazy
for name in cls._props:
setattr(LazyList, name, lazy(name))
new_list = LazyList()
return new_list
# Not all versions of Python declare the same magic methods.
# Filter out properties that don't exist in this version of Python
# from the list.
LazyList._props = [prop for prop in LazyList._props if hasattr(list, prop)]
class LazySet(set):
"""Set populated on first use."""
_props = (
'__str__', '__repr__', '__unicode__',
'__hash__', '__sizeof__', '__cmp__',
'__lt__', '__le__', '__eq__', '__ne__', '__gt__', '__ge__',
'__contains__', '__len__', '__nonzero__',
'__getitem__', '__setitem__', '__delitem__', '__iter__',
'__sub__', '__and__', '__xor__', '__or__',
'__rsub__', '__rand__', '__rxor__', '__ror__',
'__isub__', '__iand__', '__ixor__', '__ior__',
'add', 'clear', 'copy', 'difference', 'difference_update',
'discard', 'intersection', 'intersection_update', 'isdisjoint',
'issubset', 'issuperset', 'pop', 'remove',
'symmetric_difference', 'symmetric_difference_update',
'union', 'update')
def __new__(cls, fill_iter=None):
if fill_iter is None:
return set()
class LazySet(set):
pass
fill_iter = [fill_iter]
def lazy(name):
def _lazy(self, *args, **kw):
_fill_lock.acquire()
try:
if len(fill_iter) > 0:
for i in fill_iter.pop():
set.add(self, i)
for method_name in cls._props:
delattr(LazySet, method_name)
finally:
_fill_lock.release()
return getattr(set, name)(self, *args, **kw)
return _lazy
for name in cls._props:
setattr(LazySet, name, lazy(name))
new_set = LazySet()
return new_set
# Not all versions of Python declare the same magic methods.
# Filter out properties that don't exist in this version of Python
# from the list.
LazySet._props = [prop for prop in LazySet._props if hasattr(set, prop)]

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'''
Reference tzinfo implementations from the Python docs.
Used for testing against as they are only correct for the years
1987 to 2006. Do not use these for real code.
'''
from datetime import tzinfo, timedelta, datetime
from pytz import HOUR, ZERO, UTC
__all__ = [
'FixedOffset',
'LocalTimezone',
'USTimeZone',
'Eastern',
'Central',
'Mountain',
'Pacific',
'UTC'
]
# A class building tzinfo objects for fixed-offset time zones.
# Note that FixedOffset(0, "UTC") is a different way to build a
# UTC tzinfo object.
class FixedOffset(tzinfo):
"""Fixed offset in minutes east from UTC."""
def __init__(self, offset, name):
self.__offset = timedelta(minutes=offset)
self.__name = name
def utcoffset(self, dt):
return self.__offset
def tzname(self, dt):
return self.__name
def dst(self, dt):
return ZERO
import time as _time
STDOFFSET = timedelta(seconds=-_time.timezone)
if _time.daylight:
DSTOFFSET = timedelta(seconds=-_time.altzone)
else:
DSTOFFSET = STDOFFSET
DSTDIFF = DSTOFFSET - STDOFFSET
# A class capturing the platform's idea of local time.
class LocalTimezone(tzinfo):
def utcoffset(self, dt):
if self._isdst(dt):
return DSTOFFSET
else:
return STDOFFSET
def dst(self, dt):
if self._isdst(dt):
return DSTDIFF
else:
return ZERO
def tzname(self, dt):
return _time.tzname[self._isdst(dt)]
def _isdst(self, dt):
tt = (dt.year, dt.month, dt.day,
dt.hour, dt.minute, dt.second,
dt.weekday(), 0, -1)
stamp = _time.mktime(tt)
tt = _time.localtime(stamp)
return tt.tm_isdst > 0
Local = LocalTimezone()
def first_sunday_on_or_after(dt):
days_to_go = 6 - dt.weekday()
if days_to_go:
dt += timedelta(days_to_go)
return dt
# In the US, DST starts at 2am (standard time) on the first Sunday in April.
DSTSTART = datetime(1, 4, 1, 2)
# and ends at 2am (DST time; 1am standard time) on the last Sunday of Oct.
# which is the first Sunday on or after Oct 25.
DSTEND = datetime(1, 10, 25, 1)
# A complete implementation of current DST rules for major US time zones.
class USTimeZone(tzinfo):
def __init__(self, hours, reprname, stdname, dstname):
self.stdoffset = timedelta(hours=hours)
self.reprname = reprname
self.stdname = stdname
self.dstname = dstname
def __repr__(self):
return self.reprname
def tzname(self, dt):
if self.dst(dt):
return self.dstname
else:
return self.stdname
def utcoffset(self, dt):
return self.stdoffset + self.dst(dt)
def dst(self, dt):
if dt is None or dt.tzinfo is None:
# An exception may be sensible here, in one or both cases.
# It depends on how you want to treat them. The default
# fromutc() implementation (called by the default astimezone()
# implementation) passes a datetime with dt.tzinfo is self.
return ZERO
assert dt.tzinfo is self
# Find first Sunday in April & the last in October.
start = first_sunday_on_or_after(DSTSTART.replace(year=dt.year))
end = first_sunday_on_or_after(DSTEND.replace(year=dt.year))
# Can't compare naive to aware objects, so strip the timezone from
# dt first.
if start <= dt.replace(tzinfo=None) < end:
return HOUR
else:
return ZERO
Eastern = USTimeZone(-5, "Eastern", "EST", "EDT")
Central = USTimeZone(-6, "Central", "CST", "CDT")
Mountain = USTimeZone(-7, "Mountain", "MST", "MDT")
Pacific = USTimeZone(-8, "Pacific", "PST", "PDT")

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'''
$Id: tzfile.py,v 1.8 2004/06/03 00:15:24 zenzen Exp $
'''
from datetime import datetime
from struct import unpack, calcsize
from pytz.tzinfo import StaticTzInfo, DstTzInfo, memorized_ttinfo
from pytz.tzinfo import memorized_datetime, memorized_timedelta
def _byte_string(s):
"""Cast a string or byte string to an ASCII byte string."""
return s.encode('ASCII')
_NULL = _byte_string('\0')
def _std_string(s):
"""Cast a string or byte string to an ASCII string."""
return str(s.decode('ASCII'))
def build_tzinfo(zone, fp):
head_fmt = '>4s c 15x 6l'
head_size = calcsize(head_fmt)
(magic, format, ttisgmtcnt, ttisstdcnt, leapcnt, timecnt,
typecnt, charcnt) = unpack(head_fmt, fp.read(head_size))
# Make sure it is a tzfile(5) file
assert magic == _byte_string('TZif'), 'Got magic %s' % repr(magic)
# Read out the transition times, localtime indices and ttinfo structures.
data_fmt = '>%(timecnt)dl %(timecnt)dB %(ttinfo)s %(charcnt)ds' % dict(
timecnt=timecnt, ttinfo='lBB' * typecnt, charcnt=charcnt)
data_size = calcsize(data_fmt)
data = unpack(data_fmt, fp.read(data_size))
# make sure we unpacked the right number of values
assert len(data) == 2 * timecnt + 3 * typecnt + 1
transitions = [memorized_datetime(trans)
for trans in data[:timecnt]]
lindexes = list(data[timecnt:2 * timecnt])
ttinfo_raw = data[2 * timecnt:-1]
tznames_raw = data[-1]
del data
# Process ttinfo into separate structs
ttinfo = []
tznames = {}
i = 0
while i < len(ttinfo_raw):
# have we looked up this timezone name yet?
tzname_offset = ttinfo_raw[i + 2]
if tzname_offset not in tznames:
nul = tznames_raw.find(_NULL, tzname_offset)
if nul < 0:
nul = len(tznames_raw)
tznames[tzname_offset] = _std_string(
tznames_raw[tzname_offset:nul])
ttinfo.append((ttinfo_raw[i],
bool(ttinfo_raw[i + 1]),
tznames[tzname_offset]))
i += 3
# Now build the timezone object
if len(ttinfo) == 1 or len(transitions) == 0:
ttinfo[0][0], ttinfo[0][2]
cls = type(zone, (StaticTzInfo,), dict(
zone=zone,
_utcoffset=memorized_timedelta(ttinfo[0][0]),
_tzname=ttinfo[0][2]))
else:
# Early dates use the first standard time ttinfo
i = 0
while ttinfo[i][1]:
i += 1
if ttinfo[i] == ttinfo[lindexes[0]]:
transitions[0] = datetime.min
else:
transitions.insert(0, datetime.min)
lindexes.insert(0, i)
# calculate transition info
transition_info = []
for i in range(len(transitions)):
inf = ttinfo[lindexes[i]]
utcoffset = inf[0]
if not inf[1]:
dst = 0
else:
for j in range(i - 1, -1, -1):
prev_inf = ttinfo[lindexes[j]]
if not prev_inf[1]:
break
dst = inf[0] - prev_inf[0] # dst offset
# Bad dst? Look further. DST > 24 hours happens when
# a timzone has moved across the international dateline.
if dst <= 0 or dst > 3600 * 3:
for j in range(i + 1, len(transitions)):
stdinf = ttinfo[lindexes[j]]
if not stdinf[1]:
dst = inf[0] - stdinf[0]
if dst > 0:
break # Found a useful std time.
tzname = inf[2]
# Round utcoffset and dst to the nearest minute or the
# datetime library will complain. Conversions to these timezones
# might be up to plus or minus 30 seconds out, but it is
# the best we can do.
utcoffset = int((utcoffset + 30) // 60) * 60
dst = int((dst + 30) // 60) * 60
transition_info.append(memorized_ttinfo(utcoffset, dst, tzname))
cls = type(zone, (DstTzInfo,), dict(
zone=zone,
_utc_transition_times=transitions,
_transition_info=transition_info))
return cls()
if __name__ == '__main__':
import os.path
from pprint import pprint
base = os.path.join(os.path.dirname(__file__), 'zoneinfo')
tz = build_tzinfo('Australia/Melbourne',
open(os.path.join(base, 'Australia', 'Melbourne'), 'rb'))
tz = build_tzinfo('US/Eastern',
open(os.path.join(base, 'US', 'Eastern'), 'rb'))
pprint(tz._utc_transition_times)

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'''Base classes and helpers for building zone specific tzinfo classes'''
from datetime import datetime, timedelta, tzinfo
from bisect import bisect_right
try:
set
except NameError:
from sets import Set as set
import pytz
from pytz.exceptions import AmbiguousTimeError, NonExistentTimeError
__all__ = []
_timedelta_cache = {}
def memorized_timedelta(seconds):
'''Create only one instance of each distinct timedelta'''
try:
return _timedelta_cache[seconds]
except KeyError:
delta = timedelta(seconds=seconds)
_timedelta_cache[seconds] = delta
return delta
_epoch = datetime.utcfromtimestamp(0)
_datetime_cache = {0: _epoch}
def memorized_datetime(seconds):
'''Create only one instance of each distinct datetime'''
try:
return _datetime_cache[seconds]
except KeyError:
# NB. We can't just do datetime.utcfromtimestamp(seconds) as this
# fails with negative values under Windows (Bug #90096)
dt = _epoch + timedelta(seconds=seconds)
_datetime_cache[seconds] = dt
return dt
_ttinfo_cache = {}
def memorized_ttinfo(*args):
'''Create only one instance of each distinct tuple'''
try:
return _ttinfo_cache[args]
except KeyError:
ttinfo = (
memorized_timedelta(args[0]),
memorized_timedelta(args[1]),
args[2]
)
_ttinfo_cache[args] = ttinfo
return ttinfo
_notime = memorized_timedelta(0)
def _to_seconds(td):
'''Convert a timedelta to seconds'''
return td.seconds + td.days * 24 * 60 * 60
class BaseTzInfo(tzinfo):
# Overridden in subclass
_utcoffset = None
_tzname = None
zone = None
def __str__(self):
return self.zone
class StaticTzInfo(BaseTzInfo):
'''A timezone that has a constant offset from UTC
These timezones are rare, as most locations have changed their
offset at some point in their history
'''
def fromutc(self, dt):
'''See datetime.tzinfo.fromutc'''
if dt.tzinfo is not None and dt.tzinfo is not self:
raise ValueError('fromutc: dt.tzinfo is not self')
return (dt + self._utcoffset).replace(tzinfo=self)
def utcoffset(self, dt, is_dst=None):
'''See datetime.tzinfo.utcoffset
is_dst is ignored for StaticTzInfo, and exists only to
retain compatibility with DstTzInfo.
'''
return self._utcoffset
def dst(self, dt, is_dst=None):
'''See datetime.tzinfo.dst
is_dst is ignored for StaticTzInfo, and exists only to
retain compatibility with DstTzInfo.
'''
return _notime
def tzname(self, dt, is_dst=None):
'''See datetime.tzinfo.tzname
is_dst is ignored for StaticTzInfo, and exists only to
retain compatibility with DstTzInfo.
'''
return self._tzname
def localize(self, dt, is_dst=False):
'''Convert naive time to local time'''
if dt.tzinfo is not None:
raise ValueError('Not naive datetime (tzinfo is already set)')
return dt.replace(tzinfo=self)
def normalize(self, dt, is_dst=False):
'''Correct the timezone information on the given datetime.
This is normally a no-op, as StaticTzInfo timezones never have
ambiguous cases to correct:
>>> from pytz import timezone
>>> gmt = timezone('GMT')
>>> isinstance(gmt, StaticTzInfo)
True
>>> dt = datetime(2011, 5, 8, 1, 2, 3, tzinfo=gmt)
>>> gmt.normalize(dt) is dt
True
The supported method of converting between timezones is to use
datetime.astimezone(). Currently normalize() also works:
>>> la = timezone('America/Los_Angeles')
>>> dt = la.localize(datetime(2011, 5, 7, 1, 2, 3))
>>> fmt = '%Y-%m-%d %H:%M:%S %Z (%z)'
>>> gmt.normalize(dt).strftime(fmt)
'2011-05-07 08:02:03 GMT (+0000)'
'''
if dt.tzinfo is self:
return dt
if dt.tzinfo is None:
raise ValueError('Naive time - no tzinfo set')
return dt.astimezone(self)
def __repr__(self):
return '<StaticTzInfo %r>' % (self.zone,)
def __reduce__(self):
# Special pickle to zone remains a singleton and to cope with
# database changes.
return pytz._p, (self.zone,)
class DstTzInfo(BaseTzInfo):
'''A timezone that has a variable offset from UTC
The offset might change if daylight saving time comes into effect,
or at a point in history when the region decides to change their
timezone definition.
'''
# Overridden in subclass
# Sorted list of DST transition times, UTC
_utc_transition_times = None
# [(utcoffset, dstoffset, tzname)] corresponding to
# _utc_transition_times entries
_transition_info = None
zone = None
# Set in __init__
_tzinfos = None
_dst = None # DST offset
def __init__(self, _inf=None, _tzinfos=None):
if _inf:
self._tzinfos = _tzinfos
self._utcoffset, self._dst, self._tzname = _inf
else:
_tzinfos = {}
self._tzinfos = _tzinfos
self._utcoffset, self._dst, self._tzname = (
self._transition_info[0])
_tzinfos[self._transition_info[0]] = self
for inf in self._transition_info[1:]:
if inf not in _tzinfos:
_tzinfos[inf] = self.__class__(inf, _tzinfos)
def fromutc(self, dt):
'''See datetime.tzinfo.fromutc'''
if (dt.tzinfo is not None and
getattr(dt.tzinfo, '_tzinfos', None) is not self._tzinfos):
raise ValueError('fromutc: dt.tzinfo is not self')
dt = dt.replace(tzinfo=None)
idx = max(0, bisect_right(self._utc_transition_times, dt) - 1)
inf = self._transition_info[idx]
return (dt + inf[0]).replace(tzinfo=self._tzinfos[inf])
def normalize(self, dt):
'''Correct the timezone information on the given datetime
If date arithmetic crosses DST boundaries, the tzinfo
is not magically adjusted. This method normalizes the
tzinfo to the correct one.
To test, first we need to do some setup
>>> from pytz import timezone
>>> utc = timezone('UTC')
>>> eastern = timezone('US/Eastern')
>>> fmt = '%Y-%m-%d %H:%M:%S %Z (%z)'
We next create a datetime right on an end-of-DST transition point,
the instant when the wallclocks are wound back one hour.
>>> utc_dt = datetime(2002, 10, 27, 6, 0, 0, tzinfo=utc)
>>> loc_dt = utc_dt.astimezone(eastern)
>>> loc_dt.strftime(fmt)
'2002-10-27 01:00:00 EST (-0500)'
Now, if we subtract a few minutes from it, note that the timezone
information has not changed.
>>> before = loc_dt - timedelta(minutes=10)
>>> before.strftime(fmt)
'2002-10-27 00:50:00 EST (-0500)'
But we can fix that by calling the normalize method
>>> before = eastern.normalize(before)
>>> before.strftime(fmt)
'2002-10-27 01:50:00 EDT (-0400)'
The supported method of converting between timezones is to use
datetime.astimezone(). Currently, normalize() also works:
>>> th = timezone('Asia/Bangkok')
>>> am = timezone('Europe/Amsterdam')
>>> dt = th.localize(datetime(2011, 5, 7, 1, 2, 3))
>>> fmt = '%Y-%m-%d %H:%M:%S %Z (%z)'
>>> am.normalize(dt).strftime(fmt)
'2011-05-06 20:02:03 CEST (+0200)'
'''
if dt.tzinfo is None:
raise ValueError('Naive time - no tzinfo set')
# Convert dt in localtime to UTC
offset = dt.tzinfo._utcoffset
dt = dt.replace(tzinfo=None)
dt = dt - offset
# convert it back, and return it
return self.fromutc(dt)
def localize(self, dt, is_dst=False):
'''Convert naive time to local time.
This method should be used to construct localtimes, rather
than passing a tzinfo argument to a datetime constructor.
is_dst is used to determine the correct timezone in the ambigous
period at the end of daylight saving time.
>>> from pytz import timezone
>>> fmt = '%Y-%m-%d %H:%M:%S %Z (%z)'
>>> amdam = timezone('Europe/Amsterdam')
>>> dt = datetime(2004, 10, 31, 2, 0, 0)
>>> loc_dt1 = amdam.localize(dt, is_dst=True)
>>> loc_dt2 = amdam.localize(dt, is_dst=False)
>>> loc_dt1.strftime(fmt)
'2004-10-31 02:00:00 CEST (+0200)'
>>> loc_dt2.strftime(fmt)
'2004-10-31 02:00:00 CET (+0100)'
>>> str(loc_dt2 - loc_dt1)
'1:00:00'
Use is_dst=None to raise an AmbiguousTimeError for ambiguous
times at the end of daylight saving time
>>> try:
... loc_dt1 = amdam.localize(dt, is_dst=None)
... except AmbiguousTimeError:
... print('Ambiguous')
Ambiguous
is_dst defaults to False
>>> amdam.localize(dt) == amdam.localize(dt, False)
True
is_dst is also used to determine the correct timezone in the
wallclock times jumped over at the start of daylight saving time.
>>> pacific = timezone('US/Pacific')
>>> dt = datetime(2008, 3, 9, 2, 0, 0)
>>> ploc_dt1 = pacific.localize(dt, is_dst=True)
>>> ploc_dt2 = pacific.localize(dt, is_dst=False)
>>> ploc_dt1.strftime(fmt)
'2008-03-09 02:00:00 PDT (-0700)'
>>> ploc_dt2.strftime(fmt)
'2008-03-09 02:00:00 PST (-0800)'
>>> str(ploc_dt2 - ploc_dt1)
'1:00:00'
Use is_dst=None to raise a NonExistentTimeError for these skipped
times.
>>> try:
... loc_dt1 = pacific.localize(dt, is_dst=None)
... except NonExistentTimeError:
... print('Non-existent')
Non-existent
'''
if dt.tzinfo is not None:
raise ValueError('Not naive datetime (tzinfo is already set)')
# Find the two best possibilities.
possible_loc_dt = set()
for delta in [timedelta(days=-1), timedelta(days=1)]:
loc_dt = dt + delta
idx = max(0, bisect_right(
self._utc_transition_times, loc_dt) - 1)
inf = self._transition_info[idx]
tzinfo = self._tzinfos[inf]
loc_dt = tzinfo.normalize(dt.replace(tzinfo=tzinfo))
if loc_dt.replace(tzinfo=None) == dt:
possible_loc_dt.add(loc_dt)
if len(possible_loc_dt) == 1:
return possible_loc_dt.pop()
# If there are no possibly correct timezones, we are attempting
# to convert a time that never happened - the time period jumped
# during the start-of-DST transition period.
if len(possible_loc_dt) == 0:
# If we refuse to guess, raise an exception.
if is_dst is None:
raise NonExistentTimeError(dt)
# If we are forcing the pre-DST side of the DST transition, we
# obtain the correct timezone by winding the clock forward a few
# hours.
elif is_dst:
return self.localize(
dt + timedelta(hours=6), is_dst=True) - timedelta(hours=6)
# If we are forcing the post-DST side of the DST transition, we
# obtain the correct timezone by winding the clock back.
else:
return self.localize(
dt - timedelta(hours=6),
is_dst=False) + timedelta(hours=6)
# If we get this far, we have multiple possible timezones - this
# is an ambiguous case occuring during the end-of-DST transition.
# If told to be strict, raise an exception since we have an
# ambiguous case
if is_dst is None:
raise AmbiguousTimeError(dt)
# Filter out the possiblilities that don't match the requested
# is_dst
filtered_possible_loc_dt = [
p for p in possible_loc_dt if bool(p.tzinfo._dst) == is_dst
]
# Hopefully we only have one possibility left. Return it.
if len(filtered_possible_loc_dt) == 1:
return filtered_possible_loc_dt[0]
if len(filtered_possible_loc_dt) == 0:
filtered_possible_loc_dt = list(possible_loc_dt)
# If we get this far, we have in a wierd timezone transition
# where the clocks have been wound back but is_dst is the same
# in both (eg. Europe/Warsaw 1915 when they switched to CET).
# At this point, we just have to guess unless we allow more
# hints to be passed in (such as the UTC offset or abbreviation),
# but that is just getting silly.
#
# Choose the earliest (by UTC) applicable timezone if is_dst=True
# Choose the latest (by UTC) applicable timezone if is_dst=False
# i.e., behave like end-of-DST transition
dates = {} # utc -> local
for local_dt in filtered_possible_loc_dt:
utc_time = (
local_dt.replace(tzinfo=None) - local_dt.tzinfo._utcoffset)
assert utc_time not in dates
dates[utc_time] = local_dt
return dates[[min, max][not is_dst](dates)]
def utcoffset(self, dt, is_dst=None):
'''See datetime.tzinfo.utcoffset
The is_dst parameter may be used to remove ambiguity during DST
transitions.
>>> from pytz import timezone
>>> tz = timezone('America/St_Johns')
>>> ambiguous = datetime(2009, 10, 31, 23, 30)
>>> str(tz.utcoffset(ambiguous, is_dst=False))
'-1 day, 20:30:00'
>>> str(tz.utcoffset(ambiguous, is_dst=True))
'-1 day, 21:30:00'
>>> try:
... tz.utcoffset(ambiguous)
... except AmbiguousTimeError:
... print('Ambiguous')
Ambiguous
'''
if dt is None:
return None
elif dt.tzinfo is not self:
dt = self.localize(dt, is_dst)
return dt.tzinfo._utcoffset
else:
return self._utcoffset
def dst(self, dt, is_dst=None):
'''See datetime.tzinfo.dst
The is_dst parameter may be used to remove ambiguity during DST
transitions.
>>> from pytz import timezone
>>> tz = timezone('America/St_Johns')
>>> normal = datetime(2009, 9, 1)
>>> str(tz.dst(normal))
'1:00:00'
>>> str(tz.dst(normal, is_dst=False))
'1:00:00'
>>> str(tz.dst(normal, is_dst=True))
'1:00:00'
>>> ambiguous = datetime(2009, 10, 31, 23, 30)
>>> str(tz.dst(ambiguous, is_dst=False))
'0:00:00'
>>> str(tz.dst(ambiguous, is_dst=True))
'1:00:00'
>>> try:
... tz.dst(ambiguous)
... except AmbiguousTimeError:
... print('Ambiguous')
Ambiguous
'''
if dt is None:
return None
elif dt.tzinfo is not self:
dt = self.localize(dt, is_dst)
return dt.tzinfo._dst
else:
return self._dst
def tzname(self, dt, is_dst=None):
'''See datetime.tzinfo.tzname
The is_dst parameter may be used to remove ambiguity during DST
transitions.
>>> from pytz import timezone
>>> tz = timezone('America/St_Johns')
>>> normal = datetime(2009, 9, 1)
>>> tz.tzname(normal)
'NDT'
>>> tz.tzname(normal, is_dst=False)
'NDT'
>>> tz.tzname(normal, is_dst=True)
'NDT'
>>> ambiguous = datetime(2009, 10, 31, 23, 30)
>>> tz.tzname(ambiguous, is_dst=False)
'NST'
>>> tz.tzname(ambiguous, is_dst=True)
'NDT'
>>> try:
... tz.tzname(ambiguous)
... except AmbiguousTimeError:
... print('Ambiguous')
Ambiguous
'''
if dt is None:
return self.zone
elif dt.tzinfo is not self:
dt = self.localize(dt, is_dst)
return dt.tzinfo._tzname
else:
return self._tzname
def __repr__(self):
if self._dst:
dst = 'DST'
else:
dst = 'STD'
if self._utcoffset > _notime:
return '<DstTzInfo %r %s+%s %s>' % (
self.zone, self._tzname, self._utcoffset, dst
)
else:
return '<DstTzInfo %r %s%s %s>' % (
self.zone, self._tzname, self._utcoffset, dst
)
def __reduce__(self):
# Special pickle to zone remains a singleton and to cope with
# database changes.
return pytz._p, (
self.zone,
_to_seconds(self._utcoffset),
_to_seconds(self._dst),
self._tzname
)
def unpickler(zone, utcoffset=None, dstoffset=None, tzname=None):
"""Factory function for unpickling pytz tzinfo instances.
This is shared for both StaticTzInfo and DstTzInfo instances, because
database changes could cause a zones implementation to switch between
these two base classes and we can't break pickles on a pytz version
upgrade.
"""
# Raises a KeyError if zone no longer exists, which should never happen
# and would be a bug.
tz = pytz.timezone(zone)
# A StaticTzInfo - just return it
if utcoffset is None:
return tz
# This pickle was created from a DstTzInfo. We need to
# determine which of the list of tzinfo instances for this zone
# to use in order to restore the state of any datetime instances using
# it correctly.
utcoffset = memorized_timedelta(utcoffset)
dstoffset = memorized_timedelta(dstoffset)
try:
return tz._tzinfos[(utcoffset, dstoffset, tzname)]
except KeyError:
# The particular state requested in this timezone no longer exists.
# This indicates a corrupt pickle, or the timezone database has been
# corrected violently enough to make this particular
# (utcoffset,dstoffset) no longer exist in the zone, or the
# abbreviation has been changed.
pass
# See if we can find an entry differing only by tzname. Abbreviations
# get changed from the initial guess by the database maintainers to
# match reality when this information is discovered.
for localized_tz in tz._tzinfos.values():
if (localized_tz._utcoffset == utcoffset and
localized_tz._dst == dstoffset):
return localized_tz
# This (utcoffset, dstoffset) information has been removed from the
# zone. Add it back. This might occur when the database maintainers have
# corrected incorrect information. datetime instances using this
# incorrect information will continue to do so, exactly as they were
# before being pickled. This is purely an overly paranoid safety net - I
# doubt this will ever been needed in real life.
inf = (utcoffset, dstoffset, tzname)
tz._tzinfos[inf] = tz.__class__(inf, tz._tzinfos)
return tz._tzinfos[inf]

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