praw-3.3.0/ 0000755 0000000 0000000 00000000000 12606362001 011160 5 ustar root root praw-3.3.0/setup.py 0000666 0000000 0000000 00000003700 12603443222 012700 0 ustar root root import os
import re
try:
from setuptools import setup
except ImportError:
from distutils.core import setup
PACKAGE_NAME = 'praw'
HERE = os.path.abspath(os.path.dirname(__file__))
with open(os.path.join(HERE, 'README.rst')) as fp:
README = fp.read()
with open(os.path.join(HERE, PACKAGE_NAME, '__init__.py')) as fp:
VERSION = re.search("__version__ = '([^']+)'", fp.read()).group(1)
setup(
name=PACKAGE_NAME,
version=VERSION,
author='Timothy Mellor',
author_email='timothy.mellor+pip@gmail.com',
maintainer='Bryce Boe',
maintainer_email='bbzbryce@gmail.com',
url='https://praw.readthedocs.org/',
description=('PRAW, an acronym for `Python Reddit API Wrapper`, is a '
'python package that allows for simple access to '
'reddit\'s API.'),
long_description=README,
classifiers=['Development Status :: 5 - Production/Stable',
'Environment :: Console',
'Intended Audience :: Developers',
'License :: OSI Approved :: GNU General Public License (GPL)',
'Natural Language :: English',
'Operating System :: OS Independent',
'Programming Language :: Python :: 2.7',
'Programming Language :: Python :: 3.3',
'Programming Language :: Python :: 3.4',
'Programming Language :: Python :: 3.5',
'Topic :: Utilities'],
license='GPLv3',
keywords='reddit api wrapper',
packages=[PACKAGE_NAME],
package_data={'': ['COPYING'], PACKAGE_NAME: ['*.ini']},
install_requires=['decorator>=3.4.2', 'requests>=2.3.0', 'six>=1.4',
'update_checker>=0.11'],
tests_require=['betamax>=0.4.2', 'betamax-matchers>=0.2.0', 'mock>=1.0.0'],
entry_points={'console_scripts': [
'praw-multiprocess = praw.multiprocess:run']},
test_suite='tests')
praw-3.3.0/setup.cfg 0000666 0000000 0000000 00000000132 12603444402 013004 0 ustar root root [wheel]
universal = 1
[egg_info]
tag_svn_revision = 0
tag_build =
tag_date = 0
praw-3.3.0/MANIFEST.in 0000666 0000000 0000000 00000000305 12550633376 012736 0 ustar root root include CHANGES.rst COPYING README.rst
include praw/praw.ini
include docs/Makefile
recursive-include docs *.png *.py *.rst
recursive-include tests *.json *.py
recursive-include tests/files *
praw-3.3.0/COPYING 0000666 0000000 0000000 00000105755 12546361470 012250 0 ustar root root GNU GENERAL PUBLIC LICENSE
Version 3, 29 June 2007
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an absolute waiver of all civil liability in connection with the
Program, unless a warranty or assumption of liability accompanies a
copy of the Program in return for a fee.
END OF TERMS AND CONDITIONS
How to Apply These Terms to Your New Programs
If you develop a new program, and you want it to be of the greatest
possible use to the public, the best way to achieve this is to make it
free software which everyone can redistribute and change under these terms.
To do so, attach the following notices to the program. It is safest
to attach them to the start of each source file to most effectively
state the exclusion of warranty; and each file should have at least
the "copyright" line and a pointer to where the full notice is found.
Copyright (C)
This program is free software: you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
the Free Software Foundation, either version 3 of the License, or
(at your option) any later version.
This program is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
GNU General Public License for more details.
You should have received a copy of the GNU General Public License
along with this program. If not, see .
Also add information on how to contact you by electronic and paper mail.
If the program does terminal interaction, make it output a short
notice like this when it starts in an interactive mode:
Copyright (C)
This program comes with ABSOLUTELY NO WARRANTY; for details type `show w'.
This is free software, and you are welcome to redistribute it
under certain conditions; type `show c' for details.
The hypothetical commands `show w' and `show c' should show the appropriate
parts of the General Public License. Of course, your program's commands
might be different; for a GUI interface, you would use an "about box".
You should also get your employer (if you work as a programmer) or school,
if any, to sign a "copyright disclaimer" for the program, if necessary.
For more information on this, and how to apply and follow the GNU GPL, see
.
The GNU General Public License does not permit incorporating your program
into proprietary programs. If your program is a subroutine library, you
may consider it more useful to permit linking proprietary applications with
the library. If this is what you want to do, use the GNU Lesser General
Public License instead of this License. But first, please read
.
praw-3.3.0/PKG-INFO 0000666 0000000 0000000 00000013024 12603444402 012264 0 ustar root root Metadata-Version: 1.1
Name: praw
Version: 3.3.0
Summary: PRAW, an acronym for `Python Reddit API Wrapper`, is a python package that allows for simple access to reddit's API.
Home-page: https://praw.readthedocs.org/
Author: Bryce Boe
Author-email: bbzbryce@gmail.com
License: GPLv3
Description: .. _main_page:
PRAW: The Python Reddit API Wrapper
===================================
.. begin_description
.. image:: https://travis-ci.org/praw-dev/praw.svg?branch=master
:target: https://travis-ci.org/praw-dev/praw
.. image:: https://coveralls.io/repos/praw-dev/praw/badge.svg?branch=master
:target: https://coveralls.io/r/praw-dev/praw?branch=master
PRAW, an acronym for "Python Reddit API Wrapper", is a python package that
allows for simple access to reddit's API. PRAW aims to be as easy to use as
possible and is designed to follow all of `reddit's API rules
`_. You have to give a useragent
that follows the rules, everything else is handled by PRAW so you needn't worry
about violating them.
Here's a quick peek, getting the first 5 submissions from
the 'hot' section of the 'opensource' subreddit:
.. code-block:: pycon
>>> import praw
>>> r = praw.Reddit(user_agent='my_cool_application')
>>> submissions = r.get_subreddit('opensource').get_hot(limit=5)
>>> [str(x) for x in submissions]
This will display something similar to the following:
.. code-block:: pycon
['10 :: Gun.io Debuts Group Funding for Open Source Projects\n Gun.io',
'24 :: Support the Free Software Foundation',
'67 :: The 10 Most Important Open Source Projects of 2011',
'85 :: Plan 9 - A distributed OS with a unified communicatioprotocol I/O...',
'2 :: Open-source webOS is dead on arrival ']
.. end_description
.. begin_installation
.. _installation:
Installation
------------
PRAW is supported on python 2.7, 3.3, 3.4 and 3.5. The recommended way to
install is via `pip `_
.. code-block:: bash
$ pip install praw
If you want to run the development version of PRAW try:
.. code-block:: bash
$ pip install --upgrade https://github.com/praw-dev/praw/archive/master.zip
If you don't have ``pip`` installed, then the Hitchhiker's Guide to Python has
a section for setting it up on `Windows
`_,
`Mac `_ and
`Linux `_.
There is also a `Stack overflow question on installing pip on Windows
`_
that might prove helpful.
Alternatively you can do it via
`easy_install `_
.. code-block:: bash
$ easy_install praw
.. end_installation
.. begin_support
Support
-------
The official place to ask questions about PRAW, reddit and other API wrappers
is `r/redditdev `_. If the question is more
about Python and less about PRAW, such as "what are generators", then you're
likely to get more, faster and more in-depth answers in `r/learnpython
`_.
If you've uncovered a bug or have a feature request, then `make an issue on our
project page at github `_.
Please note that this project is released with a `Contributor Code of Conduct
`_. By
participating in this project you agree to abide by its terms.
.. end_support
Documentation
-------------
PRAW's documentation, which includes tutorials, information on configuring PRAW
and other good stuff can be found at `readthedocs
`_.
.. begin_license
License
-------
All of the code contained here is licensed by
`the GNU GPLv3 `_.
.. end_license
Keywords: reddit api wrapper
Platform: UNKNOWN
Classifier: Development Status :: 5 - Production/Stable
Classifier: Environment :: Console
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: GNU General Public License (GPL)
Classifier: Natural Language :: English
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python :: 2.7
Classifier: Programming Language :: Python :: 3.3
Classifier: Programming Language :: Python :: 3.4
Classifier: Programming Language :: Python :: 3.5
Classifier: Topic :: Utilities
praw-3.3.0/tests/ 0000755 0000000 0000000 00000000000 12606362002 012323 5 ustar root root praw-3.3.0/tests/test_submission.py 0000666 0000000 0000000 00000026523 12603443222 016144 0 ustar root root """Tests for Submission class."""
from __future__ import print_function, unicode_literals
from praw import errors
from praw.objects import Submission
from six import text_type
from .helper import OAuthPRAWTest, PRAWTest, betamax
class SubmissionTest(PRAWTest):
def betamax_init(self):
self.r.login(self.un, self.un_pswd, disable_warning=True)
self.subreddit = self.r.get_subreddit(self.sr)
@betamax()
def test_mark_as_nsfw__exception(self):
found = next(self.r.get_subreddit('all').get_top())
self.assertRaises(errors.ModeratorOrScopeRequired, found.mark_as_nsfw)
@betamax()
def test_mark_as_nsfw_and_umark_as_nsfw__as_author(self):
self.r.login(self.other_non_mod_name, self.other_non_mod_pswd,
disable_warning=True)
submission = self.r.get_submission(submission_id="1nt8co")
self.assertEqual(self.r.user, submission.author)
submission.mark_as_nsfw()
self.assertTrue(submission.refresh().over_18)
submission.unmark_as_nsfw()
self.assertFalse(submission.refresh().over_18)
@betamax()
def test_report(self):
submission = next(self.subreddit.get_new())
submission.report()
self.assertEqual(submission, next(self.subreddit.get_reports()))
@betamax()
def test_save_submission(self):
submission = next(self.r.user.get_submitted())
submission.save()
submission.refresh()
self.assertTrue(submission.saved)
self.first(self.r.user.get_saved(), lambda x: x == submission)
submission.unsave()
submission.refresh()
self.assertFalse(submission.saved)
self.assertFalse(submission in self.r.user.get_saved(params={'u': 1}))
@betamax()
def test_short_link(self):
submission = next(self.r.get_new())
self.assertTrue(submission.id in submission.short_link)
@betamax()
def test_submission_delete(self):
submission = next(self.r.user.get_submitted())
self.assertEqual(self.r.user, submission.author)
submission.delete()
self.assertEqual(None, submission.refresh().author)
@betamax()
def test_submission_edit__link_failure(self):
found = self.first(self.r.user.get_submitted(),
lambda item: not item.is_self)
self.assertRaises(errors.HTTPException, found.edit, 'text')
@betamax()
def test_submission_edit__self(self):
found = self.first(self.r.user.get_submitted(),
lambda item: item.is_self)
content = '' if len(found.selftext) > 100 else found.selftext + 'a'
self.assertEqual(content, found.edit(content).selftext)
@betamax()
def test_submission_hide_and_unhide(self):
submission = next(self.r.user.get_submitted())
submission.hide()
self.assertTrue(submission.refresh().hidden)
submission.unhide()
self.assertFalse(submission.refresh().hidden)
@betamax()
def test_submission_refresh(self):
subreddit = self.r.get_subreddit(self.sr)
submission = next(subreddit.get_top())
same_submission = self.r.get_submission(submission_id=submission.id)
submission.clear_vote() if submission.likes else submission.upvote()
self.assertEqual(submission.likes, same_submission.likes)
submission.refresh()
self.assertNotEqual(submission.likes, same_submission.likes)
@betamax()
def test_submit__duplicate_url(self):
url = 'https://praw.readthedocs.org/'
self.assertRaises(errors.AlreadySubmitted, self.subreddit.submit,
'PRAW Documentation', url=url)
submission = self.subreddit.submit(
'PRAW Documentation try 2', url=url, resubmit=True)
self.assertEqual('PRAW Documentation try 2', submission.title)
self.assertEqual(url, submission.url)
@betamax()
def test_submit__invalid_arguments(self):
for text, url in [(None, None), ('text', 'url'), ('', 'url')]:
self.assertRaises(TypeError, self.subreddit.submit, 'Title',
text=text, url=url)
@betamax()
def test_submit__self(self):
submission = self.r.submit(self.sr, 'Title', text='BODY')
self.assertEqual('Title', submission.title)
self.assertEqual('BODY', submission.selftext)
@betamax()
def test_submit__self_with_no_body(self):
submission = self.r.submit(self.sr, 'Title', text='')
self.assertEqual('Title', submission.title)
self.assertEqual('', submission.selftext)
@betamax()
def test_unicode_submission(self):
title = 'Wiki Entry on \xC3\x9C'
url = 'http://en.wikipedia.org/\xC3\x9C?id={0}'.format(self.r.modhash)
submission = self.subreddit.submit(title, url=url)
self.assertTrue(title in text_type(submission))
self.assertEqual(title, submission.title)
self.assertEqual(url, submission.url)
@betamax()
def test_voting(self):
submission = next(self.r.user.get_submitted())
submission.downvote()
self.assertEqual(False, submission.refresh().likes)
submission.upvote()
self.assertTrue(submission.refresh().likes)
submission.clear_vote()
self.assertEqual(None, submission.refresh().likes)
class SubmissionModeratorTest(PRAWTest):
def betamax_init(self):
self.r.login(self.un, self.un_pswd, disable_warning=True)
self.subreddit = self.r.get_subreddit(self.sr)
@betamax()
def test_approve_and_remove(self):
submission = next(self.subreddit.get_spam())
self.assertEqual(None, submission.approved_by)
self.assertTrue(submission.banned_by)
submission.approve()
submission.refresh()
self.assertEqual(self.un, submission.approved_by.name)
self.assertEqual(None, submission.banned_by)
submission.remove()
submission.refresh()
self.assertEqual(None, submission.approved_by)
self.assertEqual(self.un, submission.banned_by.name)
@betamax()
def test_distinguish_and_undistinguish(self):
submission_id = self.submission_edit_id
submission = self.r.get_submission(submission_id=submission_id)
submission.distinguish()
self.assertTrue(submission.refresh().distinguished)
submission.undistinguish()
self.assertFalse(submission.refresh().distinguished)
@betamax()
def test_ignore_and_unignore_reports(self):
submission = next(self.subreddit.get_new())
submission.ignore_reports()
log = next(self.subreddit.get_mod_log())
self.assertEqual('ignorereports', log.action)
self.assertEqual(submission.fullname, log.target_fullname)
submission.unignore_reports()
log = next(self.subreddit.get_mod_log(params={'uniq': 2}))
self.assertEqual('unignorereports', log.action)
self.assertEqual(submission.fullname, log.target_fullname)
@betamax()
def test_mark_as_nsfw_and_umark_as_nsfw__as_moderator(self):
submission = self.r.get_submission(submission_id="1nt8co")
self.assertNotEqual(self.r.user, submission.author)
submission.mark_as_nsfw()
self.assertTrue(submission.refresh().over_18)
submission.unmark_as_nsfw()
self.assertFalse(submission.refresh().over_18)
@betamax()
def test_set_suggested_sort(self):
submission_id = self.submission_edit_id
submission = self.r.get_submission(submission_id=submission_id)
submission.set_suggested_sort('new')
self.assertEqual(submission.refresh().suggested_sort, 'new')
submission.set_suggested_sort('blank')
self.assertEqual(submission.refresh().suggested_sort, None)
@betamax()
def test_sticky_unsticky(self):
subreddit = self.r.get_subreddit(self.sr)
submission_a = self.r.get_submission(
submission_id=self.submission_sticky_id)
submission_b = self.r.get_submission(
submission_id=self.submission_sticky_id2)
# Set the bottom one first on purpose, to make sure
# using num=1 sets B on top properly.
submission_a.sticky() # default to True
submission_b.sticky(bottom=False)
submission_sa = subreddit.get_sticky(bottom=True)
submission_sb = self.r.get_sticky(subreddit) # default to False
self.assertEqual(submission_sa.id, submission_a.id)
self.assertEqual(submission_sb.id, submission_b.id)
submission_a.unsticky()
submission_b.unsticky()
self.assertFalse(submission_a.refresh().stickied)
self.assertFalse(submission_b.refresh().stickied)
class OAuthSubmissionTest(OAuthPRAWTest):
@betamax()
def test_edit_oauth(self):
self.r.refresh_access_information(self.refresh_token['edit'])
submission = Submission.from_id(self.r, self.submission_edit_id)
self.assertEqual(submission, submission.edit('Edited text'))
@betamax()
def test_get_priv_submission_comments_oauth(self):
self.r.refresh_access_information(self.refresh_token['read'])
submission = Submission.from_id(self.r, self.priv_submission_id)
self.assertTrue(submission.comments)
@betamax()
def test_get_submission_by_url_oauth(self):
url = ("https://www.reddit.com/r/reddit_api_test_priv/comments/16kbb7/"
"google/")
self.r.refresh_access_information(self.refresh_token['read'])
submission = Submission.from_url(self.r, url)
self.assertTrue(submission.num_comments != 0)
@betamax()
def test_hide_oauth(self):
# Without the "read" scope, submission.hidden is always False.
self.r.refresh_access_information(self.refresh_token['read+report'])
submission = self.r.get_submission(
submission_id=self.submission_hide_id)
self.assertFalse(submission.hidden)
submission.hide()
self.assertTrue(submission.refresh().hidden)
submission.unhide()
self.assertFalse(submission.refresh().hidden)
@betamax()
def test_raise_invalidsubmission_oauth(self):
self.r.refresh_access_information(self.refresh_token['submit'])
submission = self.r.get_submission(
submission_id=self.submission_deleted_id)
self.assertRaises(errors.InvalidSubmission, submission.add_comment,
'test')
invalid_post = errors.InvalidSubmission()
self.assertEqual(invalid_post.ERROR_TYPE, str(invalid_post))
@betamax()
def test_remove_oauth(self):
self.r.refresh_access_information(self.refresh_token['modposts'])
Submission.from_id(self.r, self.submission_edit_id).remove()
@betamax()
def test_submit_oauth(self):
self.r.refresh_access_information(self.refresh_token['submit'])
result = self.r.submit(self.sr, 'OAuth Submit', text='Foo')
self.assertTrue(isinstance(result, Submission))
@betamax()
def test_vote_oauth(self):
self.r.refresh_access_information(self.refresh_token['vote'])
submission = Submission.from_id(self.r, self.submission_edit_id)
submission.clear_vote()
praw-3.3.0/tests/test_comments.py 0000666 0000000 0000000 00000014147 12577530752 015614 0 ustar root root """Tests for Comment class."""
from __future__ import print_function, unicode_literals
import pickle
import mock
from praw import errors, helpers
from praw.objects import Comment, MoreComments
from .helper import OAuthPRAWTest, PRAWTest, betamax
class CommentTest(PRAWTest):
def betamax_init(self):
self.r.login(self.un, self.un_pswd, disable_warning=True)
self.subreddit = self.r.get_subreddit(self.sr)
@betamax()
def test_add_comment(self):
text = 'Unique comment: {0}'.format(self.r.modhash)
submission = next(self.subreddit.get_new())
comment = submission.add_comment(text)
self.assertEqual(comment.submission, submission)
self.assertEqual(comment.body, text)
@betamax()
def test_add_reply(self):
text = 'Unique reply: {0}'.format(self.r.modhash)
submission = self.first(self.subreddit.get_new(),
lambda submission: submission.num_comments > 0)
comment = submission.comments[0]
reply = comment.reply(text)
self.assertEqual(reply.parent_id, comment.fullname)
self.assertEqual(reply.body, text)
@betamax()
def test_edit(self):
comment = next(self.r.user.get_comments())
new_body = '{0}\n\n+Edit Text'.format(comment.body)
comment = comment.edit(new_body)
self.assertEqual(comment.body, new_body)
@betamax()
def test_front_page_comment_replies_are_none(self):
item = next(self.r.get_comments('all'))
self.assertEqual(item._replies, None)
@betamax()
def test_get_comments_permalink(self):
item = next(self.subreddit.get_comments())
self.assertTrue(item.id in item.permalink)
@betamax()
def test_inbox_comment_permalink(self):
item = self.first(self.r.get_inbox(),
lambda item: isinstance(item, Comment))
self.assertTrue(item.id in item.permalink)
@betamax()
def test_inbox_comment_replies_are_none(self):
comment = self.first(self.r.get_inbox(),
lambda item: isinstance(item, Comment))
self.assertEqual(comment._replies, None)
@betamax()
def test_save_comment(self):
comment = next(self.r.user.get_comments())
comment.save()
comment.refresh()
self.assertTrue(comment.saved)
self.first(self.r.user.get_saved(), lambda x: x == comment)
comment.unsave()
comment.refresh()
self.assertFalse(comment.saved)
self.assertFalse(comment in self.r.user.get_saved(params={'u': 1}))
@betamax()
def test_spambox_comments_replies_are_none(self):
sequence = self.r.get_subreddit(self.sr).get_spam()
comment = self.first(sequence,
lambda item: isinstance(item, Comment))
self.assertEqual(comment._replies, None)
@betamax()
def test_unicode_comment(self):
sub = next(self.subreddit.get_new())
text = 'Have some unicode: (\xd0, \xdd)'
comment = sub.add_comment(text)
self.assertEqual(text, comment.body)
@betamax()
def test_user_comment_permalink(self):
item = next(self.r.user.get_comments())
self.assertTrue(item.id in item.permalink)
@betamax()
def test_user_comment_replies_are_none(self):
comment = self.first(self.r.user.get_comments(),
lambda item: isinstance(item, Comment))
self.assertEqual(comment._replies, None)
def _test_pickling(self, protocol):
comment = next(self.r.user.get_comments())
with mock.patch('praw.BaseReddit.request_json') as request_json_func:
unpickled_comment = pickle.loads(pickle.dumps(comment, protocol))
self.assertEqual(comment, unpickled_comment)
self.assertEqual(request_json_func.called, 0)
@betamax()
def test_pickling_v0(self):
self._test_pickling(0)
@betamax()
def test_pickling_v1(self):
self._test_pickling(1)
@betamax()
def test_pickling_v2(self):
self._test_pickling(2)
class MoreCommentsTest(PRAWTest):
def betamax_init(self):
self.r.login(self.un, self.un_pswd, disable_warning=True)
self.submission = self.r.get_submission(url=self.more_comments_url,
comment_limit=130)
@betamax()
def test_all_comments(self):
c_len = len(self.submission.comments)
flat = helpers.flatten_tree(self.submission.comments)
continue_items = [x for x in flat if isinstance(x, MoreComments) and
x.count == 0]
self.assertTrue(continue_items)
cf_len = len(flat)
saved = self.submission.replace_more_comments(threshold=2)
ac_len = len(self.submission.comments)
flat = helpers.flatten_tree(self.submission.comments)
acf_len = len(flat)
for item in continue_items:
self.assertTrue(item.id in [x.id for x in flat])
self.assertEqual(len(self.submission._comments_by_id), acf_len)
self.assertTrue(c_len < ac_len)
self.assertTrue(c_len < cf_len)
self.assertTrue(ac_len < acf_len)
self.assertTrue(cf_len < acf_len)
self.assertTrue(saved)
@betamax()
def test_comments_method(self):
item = self.first(self.submission.comments,
lambda item: isinstance(item, MoreComments))
self.assertTrue(item.comments())
class OAuthCommentTest(OAuthPRAWTest):
@betamax()
def test_raise_invalidcomment_oauth(self):
fullname = '{0}_{1}'.format(self.r.config.by_object[Comment],
self.comment_deleted_id)
self.r.refresh_access_information(self.refresh_token['submit'])
comment = self.r.get_info(thing_id=fullname)
self.assertRaises(errors.InvalidComment, comment.reply, 'test')
invalid_comment = errors.InvalidComment()
self.assertEqual(invalid_comment.ERROR_TYPE, str(invalid_comment))
praw-3.3.0/tests/test_subreddit.py 0000666 0000000 0000000 00000036527 12577530752 015762 0 ustar root root """Tests for Subreddit class."""
from __future__ import print_function, unicode_literals
import warnings
from praw import errors
from praw.objects import Subreddit
from six import text_type
from .helper import OAuthPRAWTest, PRAWTest, betamax
class SubredditTest(PRAWTest):
def betamax_init(self):
self.r.login(self.un, self.un_pswd, disable_warning=True)
self.subreddit = self.r.get_subreddit(self.sr)
@betamax()
def test_attribute_error(self):
self.assertRaises(AttributeError, getattr, self.subreddit, 'foo')
@betamax()
def test_display_name_lazy_update(self):
augmented_name = self.sr.upper()
subreddit = self.r.get_subreddit(augmented_name)
self.assertEqual(augmented_name, text_type(subreddit))
subreddit.created_utc # induce a lazy load
self.assertEqual(augmented_name, subreddit.display_name)
subreddit.refresh()
self.assertEqual(self.sr, subreddit.display_name)
@betamax()
def test_display_name_refresh(self):
augmented_name = self.sr.upper()
subreddit = self.r.get_subreddit(augmented_name)
self.assertEqual(augmented_name, text_type(subreddit))
subreddit.refresh()
self.assertEqual(self.sr, subreddit.display_name)
self.assertEqual(subreddit.display_name, text_type(subreddit))
@betamax()
def test_get_contributors_private(self):
self.r.login(self.other_non_mod_name, self.other_non_mod_pswd,
disable_warning=True)
private_sub = self.r.get_subreddit(self.priv_sr)
self.assertEqual('private', private_sub.subreddit_type)
self.assertTrue(list(private_sub.get_contributors()))
@betamax()
def test_get_contributors_public(self):
self.assertEqual('public', self.subreddit.subreddit_type)
self.assertTrue(list(self.subreddit.get_contributors()))
@betamax()
def test_get_contributors_public_exception(self):
self.r.login(self.other_non_mod_name, self.other_non_mod_pswd,
disable_warning=True)
self.assertRaises(errors.ModeratorRequired,
self.subreddit.get_contributors)
@betamax()
def test_get_my_contributions(self):
self.first(self.r.get_my_contributions(),
lambda subreddit: text_type(subreddit) == self.sr)
@betamax()
def test_get_my_moderation(self):
self.first(self.r.get_my_moderation(),
lambda subreddit: text_type(subreddit) == self.sr)
@betamax()
def test_get_my_subreddits(self):
for subreddit in self.r.get_my_subreddits():
self.assertTrue(text_type(subreddit) in subreddit._info_url)
@betamax()
def test_get_subreddit_recommendations(self):
result = self.r.get_subreddit_recommendations(['python', 'redditdev'])
self.assertTrue(result)
self.assertTrue(all(isinstance(x, Subreddit) for x in result))
@betamax()
def test_multiple_subreddit__fetch(self):
with warnings.catch_warnings(record=True) as w:
self.r.get_subreddit('python+redditdev', fetch=True)
assert len(w) == 1
assert isinstance(w[0].message, UserWarning)
@betamax()
def test_subreddit_refresh(self):
new_description = 'Description {0}'.format(self.r.modhash)
self.assertNotEqual(new_description, self.subreddit.public_description)
self.subreddit.update_settings(public_description=new_description)
self.subreddit.refresh()
self.assertEqual(new_description, self.subreddit.public_description)
@betamax()
def test_subreddit_search(self):
self.assertTrue(list(self.subreddit.search('test')))
@betamax()
def test_subscribe_and_unsubscribe(self):
self.subreddit.subscribe()
self.delay_for_listing_update()
self.assertTrue(self.subreddit in self.r.get_my_subreddits())
self.subreddit.unsubscribe()
self.delay_for_listing_update()
self.assertFalse(self.subreddit in
self.r.get_my_subreddits(params={'u': 1}))
class ModeratorSubredditTest(PRAWTest):
def add_remove(self, add, remove, listing, add_callback=None):
other = self.r.get_redditor(self.other_user_name)
add(other)
if add_callback:
add_callback()
self.assertTrue(other in listing())
remove(other)
self.assertFalse(other in listing(params={'u': 1}))
def betamax_init(self):
self.r.login(self.un, self.un_pswd, disable_warning=True)
self.subreddit = self.r.get_subreddit(self.sr)
@betamax()
def test_accept_moderator_invite_fail(self):
self.assertRaises(errors.InvalidInvite,
self.subreddit.accept_moderator_invite)
@betamax()
def test_add_moderator__failure(self):
self.assertTrue(self.r.user in self.subreddit.get_moderators())
self.assertRaises(errors.AlreadyModerator,
self.subreddit.add_moderator, text_type(self.r.user))
self.assertRaises(errors.AlreadyModerator,
self.subreddit.add_moderator, self.r.user)
@betamax()
def test_ban(self):
self.add_remove(self.subreddit.add_ban, self.subreddit.remove_ban,
self.subreddit.get_banned)
@betamax()
def test_contributors(self):
self.add_remove(self.subreddit.add_contributor,
self.subreddit.remove_contributor,
self.subreddit.get_contributors)
@betamax()
def test_get_banned__note(self):
params = {'user': self.other_non_mod_name}
data = next(self.subreddit.get_banned(user_only=False, params=params))
self.assertEqual('no reason in particular 2', data['note'])
@betamax()
def test_get_mod_log(self):
self.assertTrue(list(self.subreddit.get_mod_log()))
@betamax()
def test_get_mod_log_with_mod_by_name(self):
other = self.r.get_redditor(self.other_user_name)
actions = list(self.subreddit.get_mod_log(mod=other.name))
self.assertTrue(actions)
self.assertTrue(all(x.mod.lower() == other.name.lower()
for x in actions))
@betamax()
def test_get_mod_log_with_mod_by_redditor_object(self):
other = self.r.get_redditor(self.other_user_name)
actions = list(self.subreddit.get_mod_log(mod=other))
self.assertTrue(actions)
self.assertTrue(all(x.mod.lower() == other.name.lower()
for x in actions))
@betamax()
def test_get_mod_log_with_action_filter(self):
actions = list(self.subreddit.get_mod_log(action='removelink'))
self.assertTrue(actions)
self.assertTrue(all(x.action == 'removelink' for x in actions))
@betamax()
def test_get_mod_queue(self):
self.assertTrue(list(self.r.get_subreddit('mod').get_mod_queue()))
@betamax()
def test_get_mod_queue_with_default_subreddit(self):
self.assertTrue(list(self.r.get_mod_queue()))
@betamax()
def test_get_mod_queue_multi(self):
multi = '{0}+{1}'.format(self.sr, self.priv_sr)
self.assertTrue(list(self.r.get_subreddit(multi).get_mod_queue()))
@betamax()
def test_get_unmoderated(self):
self.assertTrue(list(self.subreddit.get_unmoderated()))
@betamax()
def test_mod_mail_send(self):
subject = 'Unique message: AAAA'
self.r.get_subreddit(self.sr).send_message(subject, 'Content')
self.first(self.r.get_mod_mail(), lambda msg: msg.subject == subject)
@betamax()
def test_moderator(self):
def add_callback():
self.r.login(self.other_user_name, self.other_user_pswd,
disable_warning=True)
self.r.get_subreddit(self.sr).accept_moderator_invite()
self.r.login(self.un, self.un_pswd, disable_warning=True)
self.add_remove(self.subreddit.add_moderator,
self.subreddit.remove_moderator,
self.subreddit.get_moderators,
add_callback)
@betamax()
def test_set_settings(self):
# The only required argument is title. All others will be set
# to their defaults.
title = 'Reddit API Test {0}'.format(self.r.modhash)
self.subreddit.set_settings(title)
settings = self.subreddit.get_settings()
self.assertEqual(title, settings['title'])
for setting in ['description', 'public_description']:
self.assertEqual('', settings[setting])
@betamax()
def test_set_stylesheet(self):
self.assertRaises(errors.BadCSS, self.subreddit.set_stylesheet,
'INVALID CSS')
stylesheet = ('div.titlebox span.number:after {{\ncontent: " {0}"\n}}'
.format(self.r.modhash))
self.subreddit.set_stylesheet(stylesheet)
self.assertEqual(stylesheet,
self.subreddit.get_stylesheet()['stylesheet'])
self.subreddit.set_stylesheet('')
self.assertEqual(
'', self.subreddit.get_stylesheet(uniq=1)['stylesheet'])
@betamax()
def test_update_settings__descriptions(self):
self.maxDiff = None
settings = self.subreddit.get_settings()
settings['description'] = 'Description {0}'.format(self.r.modhash)
settings['public_description'] = ('Public Description {0}'
.format(self.r.modhash))
self.subreddit.update_settings(
description=settings['description'],
public_description=settings['public_description'])
self.assertEqual(settings, self.subreddit.get_settings(uniq=1))
@betamax()
def test_wiki_ban(self):
self.add_remove(self.subreddit.add_wiki_ban,
self.subreddit.remove_wiki_ban,
self.subreddit.get_wiki_banned)
@betamax()
def test_wiki_contributors(self):
self.add_remove(self.subreddit.add_wiki_contributor,
self.subreddit.remove_wiki_contributor,
self.subreddit.get_wiki_contributors)
class OAuthSubredditTest(OAuthPRAWTest):
@betamax()
def test_add_remove_moderator_oauth(self):
self.r.refresh_access_information(self.refresh_token['modothers'])
subreddit = self.r.get_subreddit(self.sr)
subreddit.add_moderator(self.other_user_name)
# log in as other user
self.r.refresh_access_information(self.other_refresh_token['modself'])
self.r.accept_moderator_invite(self.sr)
# now return to original user.
self.r.refresh_access_information(self.refresh_token['modothers'])
subreddit.remove_moderator(self.other_user_name)
self.assertFalse(self.other_user_name.lower() in [user.name.lower()
for user in subreddit.get_moderators()])
@betamax()
def test_get_edited_oauth(self):
self.r.refresh_access_information(self.refresh_token['read'])
edits = self.r.get_subreddit(self.sr).get_edited()
self.assertTrue(list(edits))
self.assertTrue(all(hasattr(x, 'edited') for x in edits))
self.assertTrue(all(isinstance(x.edited, (float, int)) for x in edits))
@betamax()
def test_get_moderators_contributors_oauth(self):
self.r.refresh_access_information(self.refresh_token['read'])
subreddit = self.r.get_subreddit(self.sr)
self.assertTrue(list(subreddit.get_moderators()))
self.assertTrue(list(subreddit.get_contributors()))
subreddit = self.r.get_subreddit('redditdev')
self.assertTrue(list(subreddit.get_moderators()))
self.assertRaises(errors.Forbidden, list, subreddit.get_contributors())
@betamax()
def test_get_modlog_oauth(self):
num = 50
self.r.refresh_access_information(self.refresh_token['modlog'])
result = self.r.get_subreddit(self.sr).get_mod_log(limit=num)
self.assertEqual(num, len(list(result)))
@betamax()
def test_get_priv_sr_comments_oauth(self):
self.r.refresh_access_information(self.refresh_token['read'])
self.assertTrue(list(self.r.get_comments(self.priv_sr)))
@betamax()
def test_get_priv_sr_listing_oauth(self):
self.r.refresh_access_information(self.refresh_token['read'])
subreddit = self.r.get_subreddit(self.priv_sr)
self.assertTrue(list(subreddit.get_top()))
@betamax()
def test_join_leave_moderator_oauth(self):
subreddit = self.r.get_subreddit(self.sr)
self.r.refresh_access_information(self.refresh_token['modothers'])
subreddit.add_moderator(self.other_user_name)
self.r.refresh_access_information(
self.refresh_token['modcontributors'])
subreddit.add_contributor(self.other_user_name)
# log in as other user
self.r.refresh_access_information(self.other_refresh_token['modself'])
self.r.accept_moderator_invite(self.sr)
self.r.leave_moderator(subreddit)
subreddit.leave_contributor()
subreddit.refresh()
self.assertFalse(subreddit.user_is_moderator)
self.assertFalse(subreddit.user_is_contributor)
@betamax()
def test_raise_invalidsubreddit_oauth(self):
self.r.refresh_access_information(self.refresh_token['submit'])
self.assertRaises(errors.InvalidSubreddit, self.r.submit, '?', 'title',
'body')
invalid_sub = errors.InvalidSubreddit()
self.assertEqual(invalid_sub.ERROR_TYPE, str(invalid_sub))
@betamax()
def test_set_stylesheet_oauth(self):
subreddit = self.r.get_subreddit(self.sr)
self.r.refresh_access_information(self.refresh_token['modconfig'])
subreddit.set_stylesheet('*{}')
self.assertEqual(subreddit.get_stylesheet()['stylesheet'], '*{}')
subreddit.set_stylesheet('')
@betamax()
def test_set_settings_oauth(self):
subreddit = self.r.get_subreddit(self.sr)
self.r.refresh_access_information(self.refresh_token['modconfig'])
new_title = subreddit.title + 'x' if len(subreddit.title) < 99 else 'x'
subreddit.set_settings(title=new_title)
subreddit.refresh()
self.assertEqual(subreddit.title, new_title)
@betamax()
def test_subscribe_oauth(self):
subreddit = self.r.get_subreddit(self.sr)
# Subreddit.user_is_subscriber returns NoneType without `read`.
# Refreshing back and forth is inconvenient, but less hackish
# than storing / reassigning access tokens manually, so it's okay.
self.r.refresh_access_information(self.refresh_token['subscribe'])
subreddit.subscribe()
self.r.refresh_access_information(self.refresh_token['read'])
subreddit.refresh()
self.assertTrue(subreddit.user_is_subscriber)
self.r.refresh_access_information(self.refresh_token['subscribe'])
subreddit.unsubscribe()
self.r.refresh_access_information(self.refresh_token['read'])
subreddit.refresh()
self.assertFalse(subreddit.user_is_subscriber)
praw-3.3.0/tests/test_decorators.py 0000666 0000000 0000000 00000000501 12550633376 016116 0 ustar root root from __future__ import print_function, unicode_literals
import unittest
from praw.decorators import restrict_access
class DecoratorTest(unittest.TestCase):
def test_require_access_failure(self):
self.assertRaises(TypeError, restrict_access, scope=None,
oauth_only=True)
praw-3.3.0/tests/test_message.py 0000666 0000000 0000000 00000012560 12563125264 015401 0 ustar root root """Tests for Message class."""
from __future__ import print_function, unicode_literals
from praw import errors
from praw.objects import Message
from six import text_type
from .helper import OAuthPRAWTest, PRAWTest, betamax
class MessageTest(PRAWTest):
def betamax_init(self):
self.r.login(self.un, self.un_pswd, disable_warning=True)
self.other_user = self.r.get_redditor(self.other_user_name)
@betamax()
def test_get_comment_replies(self):
comment_reply = next(self.r.get_comment_replies(limit=1))
comment_parent = self.r.get_info(thing_id=comment_reply.parent_id)
self.assertEqual(comment_parent.author.name, self.r.user.name)
@betamax()
def test_get_message(self):
message1 = next(self.r.get_inbox(limit=1))
message2 = self.r.get_message(message1.id)
self.assertEqual(message1, message2)
self.assertEqual(self.r.user.name.lower(), message2.dest.lower())
self.assertTrue(isinstance(message2.replies, list))
@betamax()
def test_get_post_replies(self):
comment_reply = next(self.r.get_post_replies(limit=1))
self.assertTrue(comment_reply.is_root)
comment_parent = self.r.get_info(thing_id=comment_reply.parent_id)
self.assertEqual(comment_parent.author.name, self.r.user.name)
@betamax()
def test_get_unread_update_has_mail(self):
self.r.send_message(self.other_user_name, 'Update has mail', 'body')
self.r.login(self.other_user_name, self.other_user_pswd,
disable_warning=True)
self.assertTrue(self.r.user.has_mail)
self.r.get_unread(limit=1, unset_has_mail=True, update_user=True)
self.assertFalse(self.r.user.has_mail)
@betamax()
def test_mark_as_read(self):
self.r.login(self.other_user_name, self.other_user_pswd,
disable_warning=True)
msg = next(self.r.get_unread(limit=1))
msg.mark_as_read()
self.delay_for_listing_update()
self.assertFalse(msg in self.r.get_unread(limit=5))
@betamax()
def test_mark_as_unread(self):
self.r.login(self.other_user_name, self.other_user_pswd,
disable_warning=True)
msg = self.first(self.r.get_inbox(), lambda msg: not msg.new)
self.assertFalse(msg in self.r.get_unread())
msg.mark_as_unread()
self.delay_for_listing_update()
self.assertTrue(msg in self.r.get_unread(limit=24))
@betamax()
def test_mark_multiple_as_read(self):
self.r.login(self.other_user_name, self.other_user_pswd,
disable_warning=True)
message_generator = self.r.get_unread(limit=None)
messages = []
while len(messages) < 2:
message = next(message_generator)
if message.author != self.r.user.name:
messages.append(message)
self.assertEqual(2, len(messages))
self.r.user.mark_as_read(messages)
self.delay_for_listing_update()
unread = list(self.r.get_unread(limit=25))
self.assertFalse(any(msg in unread for msg in messages))
@betamax()
def test_reply_to_message_and_verify(self):
def predicate(msg):
return isinstance(msg, Message) and msg.author == self.r.user
message = self.first(self.r.get_inbox(), predicate)
reply = message.reply('Message reply')
self.assertEqual(message.fullname, reply.parent_id)
@betamax()
def test_send(self):
subject = 'Subject: {0}'.format(self.r.modhash)
self.none(self.r.get_inbox(), lambda msg: msg.subject == subject)
self.r.user.send_message(subject, 'Message content')
self.delay_for_listing_update()
self.first(self.r.get_inbox(limit=24),
lambda msg: msg.subject == subject)
@betamax()
def test_send_from_subreddit(self):
subject = 'Subject: {0}'.format(self.r.modhash)
self.r.send_message(self.other_user_name, subject, 'Message content',
from_sr=self.sr)
self.r.login(self.other_user_name, self.other_user_pswd,
disable_warning=True)
message = next(self.r.get_unread(limit=1))
self.assertEqual(None, message.author)
self.assertEqual(self.sr, text_type(message.subreddit))
self.assertEqual(subject, message.subject)
@betamax()
def test_send_invalid(self):
self.assertRaises(errors.InvalidUser, self.r.send_message,
self.invalid_user_name, 'Subject', 'Content')
class OAuthMessageTest(OAuthPRAWTest):
@betamax()
def test_read_inbox_oauth(self):
self.r.refresh_access_information(
self.refresh_token['privatemessages'])
self.assertTrue(list(self.r.get_inbox(limit=25)))
@betamax()
def test_send_privatemessage_oauth(self):
self.r.refresh_access_information(
self.refresh_token['privatemessages'])
self.r.send_message(self.other_user_name, 'subject', 'body')
message = next(self.r.get_sent(limit=1))
reply = message.reply('body2')
# Must use assertTrue because Python 2.6 doesn't have assertIsInstance
self.assertTrue(isinstance(reply, Message))
self.assertEqual(reply.parent_id, message.fullname)
praw-3.3.0/tests/test_multireddit.py 0000666 0000000 0000000 00000006100 12546361472 016300 0 ustar root root """Tests for Multireddit class."""
from __future__ import print_function, unicode_literals
from praw import errors, objects
from .helper import PRAWTest, betamax
class MultiredditTest(PRAWTest):
def betamax_init(self):
self.r.login(self.un, self.un_pswd, disable_warning=True)
def test_multireddit_representations(self):
multi = objects.Multireddit(self.r, author='Foo', name='Bar')
self.assertEqual("Multireddit(author='Foo', name='Bar')", repr(multi))
self.assertEqual('Bar', str(multi))
@betamax()
def test_add_and_remove_subreddit(self):
multi = self.r.user.get_multireddits()[0]
self.assertTrue(self.sr in (x.display_name for x in multi.subreddits))
multi.remove_subreddit(self.sr)
multi.refresh()
self.assertFalse(self.sr in (x.display_name for x in multi.subreddits))
multi.add_subreddit(self.sr)
multi.refresh()
self.assertTrue(self.sr in (x.display_name for x in multi.subreddits))
@betamax()
def test_create_and_delete_multireddit(self):
name = 'PRAW_{0}'.format(self.r.modhash)[:15]
multi = self.r.create_multireddit(name)
self.assertEqual(name.lower(), multi.name.lower())
self.assertEqual([], multi.subreddits)
multi.delete()
self.assertRaises(errors.NotFound, multi.refresh)
@betamax()
def test_copy_multireddit(self):
name = 'praw_{0}'.format(self.r.modhash)[:15]
multi = self.r.user.get_multireddits()[0]
new_multi = multi.copy(name)
self.assertNotEqual(multi.name, new_multi.name)
self.assertEqual(multi.path, new_multi.copied_from)
self.assertEqual(name, new_multi.name)
self.assertEqual(multi.subreddits, new_multi.subreddits)
@betamax()
def test_edit_multireddit(self):
name = 'PRAW_{0}'.format(self.r.modhash)[:15]
multi = self.r.user.get_multireddits()[0]
self.assertNotEqual(name, multi.description_md)
self.assertEqual(name, multi.edit(description_md=name).description_md)
self.assertEqual(name, multi.refresh().description_md)
@betamax()
def test_get_my_multis(self):
multi = self.r.get_my_multireddits()[0]
self.assertEqual('publicempty', multi.display_name)
self.assertEqual([], multi.subreddits)
@betamax()
def test_get_multireddit(self):
multi = self.r.user.get_multireddit('publicempty')
self.assertEqual('/user/{0}/m/{1}'.format(self.un, 'publicempty'),
multi.path)
@betamax()
def test_multireddit_get_new(self):
multi = self.r.user.get_multireddit('publicempty')
self.assertEqual([], list(multi.get_new()))
@betamax()
def test_rename_multireddit(self):
name = 'renamed_{0}'.format(self.r.modhash)[:15]
multi = self.r.user.get_multireddits()[0]
self.assertNotEqual(name, multi.name)
self.assertEqual(name, multi.rename(name).name)
self.assertEqual(name, multi.refresh().name)
praw-3.3.0/tests/__init__.py 0000666 0000000 0000000 00000000123 12546361470 014447 0 ustar root root """PRAW Test Suite."""
from __future__ import print_function, unicode_literals
praw-3.3.0/tests/helper.py 0000666 0000000 0000000 00000015652 12603443222 014172 0 ustar root root """Test helper methods."""
from __future__ import print_function, unicode_literals
import os
import time
import unittest
from betamax import Betamax, BaseMatcher
from betamax_matchers.form_urlencoded import URLEncodedBodyMatcher
from betamax_matchers.json_body import JSONBodyMatcher
from functools import wraps
from praw import Reddit
from requests.compat import urljoin
from six import text_type
USER_AGENT = 'PRAW_test_suite'
class BodyMatcher(BaseMatcher):
name = 'PRAWBody'
def match(self, request, recorded_request):
if request.headers.get('SKIP_BETAMAX', 0) > 0:
request.headers['SKIP_BETAMAX'] -= 1
return False
if not recorded_request['body']['string'] and not request.body:
return True
# Comparison body should be unicode
to_compare = request.copy()
to_compare.body = text_type(to_compare.body)
return URLEncodedBodyMatcher().match(to_compare, recorded_request) or \
JSONBodyMatcher().match(to_compare, recorded_request)
class PRAWTest(unittest.TestCase):
def configure(self):
self.r = Reddit(USER_AGENT, disable_update_check=True)
self.sr = 'reddit_api_test'
self.priv_sr = 'reddit_api_test_priv'
self.un = 'PyAPITestUser2'
self.other_user_name = 'PyAPITestUser3'
self.other_non_mod_name = 'PyAPITestUser4'
self.invalid_user_name = 'PyAPITestInvalid'
self.un_pswd = '1111'
self.other_user_pswd = '1111'
self.other_non_mod_pswd = '1111'
self.client_id = 'stJlUSUbPQe5lQ'
self.client_secret = 'iU-LsOzyJH7BDVoq-qOWNEq2zuI'
self.redirect_uri = 'https://127.0.0.1:65010/authorize_callback'
self.comment_url = self.url('/r/redditdev/comments/dtg4j/')
self.link_id = 't3_dtg4j'
self.link_url = self.url('/r/UCSantaBarbara/comments/m77nc/')
self.link_url_link = 'http://imgur.com/Vr8ZZ'
self.more_comments_url = self.url('/r/redditdev/comments/yjk55')
self.other_user_id = '6c1xj'
self.priv_submission_id = '16kbb7'
self.refresh_token = {
'creddits': 'jLC5Yw9LgoNr4Ldd9j1ESuqJ5DE',
'edit': 'FFx_0G7Zumyh4AWzIo39bG9KdIM',
'history': 'j_RKymm8srC3j6cxysYFQZbB4vc',
'identity': 'E4BgmO7iho0KOB1XlT8WEtyySf8',
'modconfig': 'bBGRgMY9Ai9_SZLZsaFvS647Mgk',
'modcontributors': '7302867-nk3NcmGLLHnaDmFdX26tTjYQcSg',
'modflair': 'UrMbtk4bOa040XAVz0uQn2gTE3s',
'modlog': 'ADW_EDS9-bh7Zicc7ARx7w8ZLMA',
'modothers': '7302867-uHta-txRBG7sBUx1I3pSNq5UCic',
'modposts': 'Ffnae7s4K-uXYZB5ZaYJgh0d8DI',
'modwiki': '7302867-i8p-LbgK_BvMrMUC7LQjed8r4lM',
'modwiki+contr': '7302867-4SqdVJq06cEhNEXMEZZCVZ0qZEg',
'mysubreddits': 'O7tfWhqem6fQZqxhoTiLca1s7VA',
'privatemessages': 'kr_pHPO3sqTn_m5f_FX9TW4joEU',
'read': '_mmtb8YjDym0eC26G-rTxXUMea0',
'read+report': '7302867-nOgTLv05rK1kO9YInHWOPua9sK4',
'report': '7302867-MKjaXZ-w6S8-tC-JPs0NogkIHGQ',
'submit': 'k69WTwa2bEQOQY9t61nItd4twhw',
'subscribe': 'LlqwOLjyu_l6GMZIBqhcLWB0hAE',
'vote': '5RPnDwg56vAbf7F9yO81cXZAPSQ',
'wikiread': '7302867-PMZfquNPUVYHcrbJkTYpFe9UdAY'}
self.other_refresh_token = {
'read': '10640071-wxnYQyK9knNV1PCt9a7CxvJH8TI',
'modself': '10640071-v2ZWipt20gPZvfBnvILkBUDq0P4',
'submit': '10640071-oWSCa5YMSWGQrRCa4fMSO_C1bZg'}
self.comment_deleted_id = 'ctkznxq'
self.submission_deleted_id = '3f8q10'
self.submission_edit_id = '16i92b'
self.submission_hide_id = '3lchjv'
self.submission_sticky_id = '32eucy'
self.submission_sticky_id2 = '32exei'
def delay_for_listing_update(self, duration=0.1):
if not os.getenv('TRAVIS') and self.r.config.api_request_delay == 0:
time.sleep(duration)
def first(self, sequence, predicate):
first_hit = next((x for x in sequence if predicate(x)), None)
self.assertTrue(first_hit)
return first_hit
def none(self, sequence, predicate):
self.assertEqual(
None, next((x for x in sequence if predicate(x)), None))
def setUp(self):
self.configure()
def url(self, path):
return urljoin(self.r.config.permalink_url, path)
class OAuthPRAWTest(PRAWTest):
def betamax_init(self):
self.r.set_oauth_app_info(self.client_id,
self.client_secret,
self.redirect_uri)
def setUp(self):
self.configure()
self.r = Reddit(USER_AGENT, site_name='reddit_oauth_test',
disable_update_check=True)
Betamax.register_request_matcher(BodyMatcher)
with Betamax.configure() as config:
if os.getenv('TRAVIS'):
config.default_cassette_options['record_mode'] = 'none'
config.cassette_library_dir = 'tests/cassettes'
config.default_cassette_options['match_requests_on'].append('PRAWBody')
def betamax(cassette_name=None, **cassette_options):
"""Utilze betamax to record/replay any network activity of the test.
The wrapped function's `betmax_init` method will be invoked if it exists.
"""
def factory(function):
@wraps(function)
def betamax_function(obj):
with Betamax(obj.r.handler.http).use_cassette(
cassette_name or function.__name__, **cassette_options):
# We need to set the delay to zero for betamaxed requests.
# Unfortunately, we don't know if the request actually happened
# so tests should only be updated one at a time rather than in
# bulk to prevent exceeding reddit's rate limit.
obj.r.config.api_request_delay = 0
# PRAW's cache is global, so we need to clear it for each test.
obj.r.handler.clear_cache()
if hasattr(obj, 'betamax_init'):
obj.betamax_init()
return function(obj)
return betamax_function
return factory
def flair_diff(root, other):
"""Function for comparing two flairlists supporting optional arguments."""
keys = ['user', 'flair_text', 'flair_css_class']
root_items = set(tuple(item[key].lower() if key in item and item[key] else
'' for key in keys) for item in root)
other_items = set(tuple(item[key].lower() if key in item and item[key] else
'' for key in keys) for item in other)
return list(root_items - other_items)
praw-3.3.0/tests/test_unauthenticated_reddit.py 0000666 0000000 0000000 00000026536 12551725230 020501 0 ustar root root """Tests for UnauthenticatedReddit class."""
from __future__ import print_function, unicode_literals
import mock
import warnings
from six import text_type
from praw import Reddit, errors, helpers
from praw.objects import Comment, MoreComments, Submission
from .helper import PRAWTest, betamax
class UnauthenticatedRedditTest(PRAWTest):
def test_base_36_conversion(self):
self.assertEqual(helpers.convert_numeric_id_to_id36(295), '87')
self.assertEqual(helpers.convert_id36_to_numeric_id('87'), 295)
self.assertEqual(helpers.convert_numeric_id_to_id36(275492), '5wkk')
self.assertEqual(helpers.convert_id36_to_numeric_id('5wkk'), 275492)
self.assertRaises(TypeError, helpers.convert_numeric_id_to_id36)
self.assertRaises(ValueError, helpers.convert_numeric_id_to_id36, '1')
self.assertRaises(ValueError, helpers.convert_numeric_id_to_id36, -1)
self.assertRaises(TypeError, helpers.convert_id36_to_numeric_id)
self.assertRaises(ValueError, helpers.convert_id36_to_numeric_id,
't3_87')
self.assertRaises(ValueError, helpers.convert_id36_to_numeric_id, 87)
@betamax()
def test_comparison(self):
self.assertEqual(self.r.get_redditor('bboe'),
self.r.get_redditor('BBOE'))
self.assertEqual(self.r.get_subreddit('bboe'),
self.r.get_subreddit('BBOE'))
@betamax()
def test_comments_contains_no_noncomment_objects(self):
comments = self.r.get_submission(url=self.comment_url).comments
self.assertFalse([item for item in comments if not
(isinstance(item, Comment) or
isinstance(item, MoreComments))])
@betamax()
def test_create_and_delete_redditor(self):
# This test has to be updated everytime the cassette needs to be
# updated because we have to use consistent values for saved-runs
# but it needs to be unique each time we actually hit reddit's
# servers.
key = '10'
username = 'PyAPITestUser{0}'.format(key)
password = 'pass{0}'.format(key)
self.assertRaises(errors.UsernameExists, self.r.create_redditor,
self.other_user_name, self.other_user_pswd)
self.r.create_redditor(username, password)
self.r.login(username, password, disable_warning=True)
self.assertTrue(self.r.is_logged_in())
self.assertRaises(errors.InvalidUserPass, self.r.delete, 'bad_pswd')
self.r.delete(password)
self.r.clear_authentication()
self.assertRaises(errors.InvalidUserPass, self.r.login, username,
password, disable_warning=True)
@betamax()
def test_decode_entities(self):
text = self.r.get_submission(url=self.comment_url).selftext_html
self.assertTrue(text.startswith('<'))
self.assertTrue(text.endswith('>'))
@betamax()
def test_equality(self):
subreddit = self.r.get_subreddit(self.sr)
same_subreddit = self.r.get_subreddit(self.sr)
submission = next(subreddit.get_hot())
self.assertTrue(subreddit == same_subreddit)
self.assertFalse(subreddit != same_subreddit)
self.assertFalse(subreddit == submission)
@betamax()
def test_get_comments(self):
num = 50
result = self.r.get_comments(self.sr, limit=num)
self.assertEqual(num, len(list(result)))
@betamax()
def test_get_comments_gilded(self):
gilded_comments = self.r.get_comments('all', gilded_only=True)
self.assertTrue(all(comment.gilded > 0 for comment in
gilded_comments))
@betamax()
def test_get_controversial(self):
num = 50
result = self.r.get_controversial(limit=num, params={'t': 'all'})
self.assertEqual(num, len(list(result)))
@betamax()
def test_get_front_page(self):
num = 50
self.assertEqual(num, len(list(self.r.get_front_page(limit=num))))
def test_login_or_oauth_required__not_logged_in(self):
self.assertRaises(errors.LoginOrScopeRequired,
self.r.add_flair_template, self.sr, 'foo')
def test_login_or_oauth_required__not_logged_in_mod_func(self):
self.assertRaises(errors.LoginOrScopeRequired,
self.r.get_settings, self.sr)
def test_login_required__not_logged_in(self):
self.assertRaises(errors.LoginRequired, self.r.accept_moderator_invite,
self.sr)
def test_login_required__not_logged_in_mod_func(self):
self.assertRaises(errors.LoginRequired, self.r.get_banned, self.sr)
@betamax()
def test_get_new(self):
num = 50
result = self.r.get_new(limit=num)
self.assertEqual(num, len(list(result)))
@betamax()
def test_get_new_subreddits(self):
num = 50
self.assertEqual(num,
len(list(self.r.get_new_subreddits(limit=num))))
@betamax()
def test_get_popular_subreddits(self):
num = 50
self.assertEqual(num,
len(list(self.r.get_popular_subreddits(limit=num))))
@betamax()
def test_get_randnsfw_subreddit(self):
subs = set()
for _ in range(3):
subs.add(text_type(self.r.get_subreddit('RANDNSFW')))
self.assertTrue(len(subs) > 1)
@betamax()
def test_get_random_subreddit(self):
subs = set()
for _ in range(3):
subs.add(text_type(self.r.get_subreddit('RANDOM')))
self.assertTrue(len(subs) > 1)
@betamax()
def test_get_random_submission(self):
submissions = set()
for _ in range(3):
submissions.add(text_type(self.r.get_random_submission()))
self.assertTrue(len(submissions) > 1)
submissions = set()
for _ in range(3):
item = self.r.get_random_submission('redditdev')
self.assertEqual(item.subreddit.display_name, 'redditdev')
submissions.add(text_type(item))
self.assertTrue(len(submissions) > 1)
@betamax()
def test_get_rising(self):
num = 25
result = self.r.get_rising(limit=num)
self.assertEqual(num, len(list(result)))
@betamax()
def test_get_sticky(self):
self.assertEqual('2ujhkr', self.r.get_sticky('redditdev').id)
@betamax()
def test_get_sticky__not_found(self):
subreddit = self.r.get_subreddit(self.sr)
self.assertRaises(errors.NotFound, subreddit.get_sticky)
@betamax()
def test_get_submissions(self):
def fullname(url):
return self.r.get_submission(url).fullname
fullnames = [fullname(self.comment_url), fullname(self.link_url)] * 100
retreived = [x.fullname for x in self.r.get_submissions(fullnames)]
self.assertEqual(fullnames, retreived)
@mock.patch.object(Reddit, 'request_json')
def test_get_submissions_with_params(self, mocked):
sub = Submission(self.r, {'foo': 'meh', 'permalink': ''})
mocked.return_value = ({'data': {'children': [sub]}},
{'data': {'children': []}})
url = 'http://www.reddit.com/comments/1/_/2?context=3&foo=bar'
self.assertEqual('meh', self.r.get_submission(url).foo)
mocked.assert_called_with('http://www.reddit.com/comments/1/_/2',
params={'context': '3', 'foo': 'bar'})
@betamax()
def test_get_top(self):
num = 50
result = self.r.get_top(limit=num, params={'t': 'all'})
self.assertEqual(num, len(list(result)))
@betamax()
def test_info_by_id(self):
self.assertEqual(self.link_id,
self.r.get_info(thing_id=self.link_id).fullname)
@betamax()
def test_info_by_invalid_id(self):
self.assertEqual(None, self.r.get_info(thing_id='INVALID'))
@betamax()
def test_info_by_known_url_returns_known_id_link_post(self):
found_links = self.r.get_info(self.link_url_link)
tmp = self.r.get_submission(url=self.link_url)
self.assertTrue(tmp in found_links)
@betamax()
def test_info_by_url_also_found_by_id(self):
found_by_url = self.r.get_info(self.link_url_link)[0]
found_by_id = self.r.get_info(thing_id=found_by_url.fullname)
self.assertEqual(found_by_id, found_by_url)
@betamax()
def test_info_by_url_maximum_listing(self):
self.assertEqual(100, len(self.r.get_info('http://www.reddit.com',
limit=101)))
@betamax()
def test_is_username_available(self):
self.assertFalse(self.r.is_username_available(self.un))
self.assertTrue(self.r.is_username_available(self.invalid_user_name))
self.assertFalse(self.r.is_username_available(''))
def test_not_logged_in_when_initialized(self):
self.assertEqual(self.r.user, None)
def test_require_user_agent(self):
self.assertRaises(TypeError, Reddit, user_agent=None)
self.assertRaises(TypeError, Reddit, user_agent='')
self.assertRaises(TypeError, Reddit, user_agent=1)
@betamax()
def test_search(self):
self.assertTrue(len(list(self.r.search('test'))) > 2)
@betamax()
def test_search_multiply_submitted_url(self):
self.assertTrue(
len(list(self.r.search('http://www.livememe.com/'))) > 2)
@betamax()
def test_search_reddit_names(self):
self.assertTrue(self.r.search_reddit_names('reddit'))
@betamax()
def test_search_single_submitted_url(self):
self.assertEqual(
1, len(list(self.r.search('http://www.livememe.com/vg972qp'))))
@betamax()
def test_search_with_syntax(self):
no_syntax = self.r.search('timestamp:1354348800..1354671600',
subreddit=self.sr)
self.assertFalse(list(no_syntax))
with_syntax = self.r.search('timestamp:1354348800..1354671600',
subreddit=self.sr, syntax='cloudsearch')
self.assertTrue(list(with_syntax))
@betamax()
def test_search_with_time_window(self):
num = 50
submissions = len(list(self.r.search('test', subreddit=self.sr,
period='all', limit=num)))
self.assertTrue(submissions == num)
@betamax()
def test_store_json_result(self):
self.r.config.store_json_result = True
sub_url = ('http://www.reddit.com/r/reddit_api_test/comments/'
'1f7ojw/oauth_submit/')
sub = self.r.get_submission(url=sub_url)
self.assertEqual(sub.json_dict['url'], sub_url)
@betamax()
def test_store_lazy_json_result(self):
self.r.config.store_json_result = True
subreddit = self.r.get_subreddit(self.sr)
self.assertFalse(subreddit.json_dict)
subreddit.refresh() # Force object to load
self.assertTrue(subreddit.json_dict)
def test_user_agent(self):
with warnings.catch_warnings(record=True) as w:
Reddit('robot agent')
assert len(w) == 1
assert isinstance(w[0].message, UserWarning)
praw-3.3.0/tests/test_images.py 0000666 0000000 0000000 00000010514 12546734246 015226 0 ustar root root """Tests Subreddit image upload and delete utilities."""
from __future__ import print_function, unicode_literals
import os
import sys
from praw import errors
from .helper import PRAWTest, betamax
class ImageTests(PRAWTest):
def betamax_init(self):
self.r.login(self.un, self.un_pswd, disable_warning=True)
self.subreddit = self.r.get_subreddit(self.sr)
test_dir = os.path.dirname(sys.modules[__name__].__file__)
self.image_path = os.path.join(test_dir, 'files', '{0}')
@betamax()
def test_delete_header(self):
self.subreddit.delete_image(header=True)
@betamax()
def test_delete_image(self):
images = self.subreddit.get_stylesheet()['images']
self.assertTrue(images)
for img_data in images[:5]:
self.subreddit.delete_image(name=img_data['name'])
updated_images = self.subreddit.get_stylesheet(uniq=1)['images']
self.assertNotEqual(images, updated_images)
@betamax()
def test_delete_invalid_image(self):
self.assertRaises(errors.BadCSSName,
self.subreddit.delete_image, 'invalid_image_name')
@betamax()
def test_delete_invalid_params(self):
self.assertRaises(TypeError, self.subreddit.delete_image, name='Foo',
header=True)
@betamax()
def test_upload_invalid_file_path(self):
self.assertRaises(IOError, self.subreddit.upload_image, 'nonexistent')
@betamax()
def test_upload_invalid_image(self):
image = self.image_path.format('white-square.tiff')
self.assertRaises(errors.ClientException, self.subreddit.upload_image,
image)
@betamax()
def test_upload_invalid_image_too_small(self):
image = self.image_path.format('invalid.jpg')
self.assertRaises(errors.ClientException, self.subreddit.upload_image,
image)
@betamax()
def test_upload_invalid_image_too_large(self):
image = self.image_path.format('big')
self.assertRaises(errors.ClientException, self.subreddit.upload_image,
image)
@betamax()
def test_upload_invalid_params(self):
image = self.image_path.format('white-square.jpg')
self.assertRaises(TypeError, self.subreddit.upload_image, image,
name='Foo', header=True)
@betamax()
def test_upload_invalid_image_path(self):
self.assertRaises(IOError, self.subreddit.upload_image, 'bar.png')
# TODO: readd the following when we can handle the image uploads with
# betamax.
# def test_upload_jpg_header(self):
# self.betamax_init()
# image = self.image_path.format('white-square.jpg')
# self.assertTrue(self.subreddit.upload_image(image, header=True))
# def test_upload_jpg_image(self):
# self.betamax_init()
# image = self.image_path.format('white-square.jpg')
# self.assertTrue(self.subreddit.upload_image(image))
# def test_upload_jpg_image_named(self):
# self.betamax_init()
# image = self.image_path.format('white-square.jpg')
# name = text_type(self.r.modhash)
# self.assertTrue(self.subreddit.upload_image(image, name))
# images_json = self.subreddit.get_stylesheet()['images']
# self.assertTrue(any(name in text_type(x['name']) for x in images_json))
# def test_upload_jpg_image_no_extension(self):
# self.betamax_init()
# image = self.image_path.format('white-square')
# self.assertTrue(self.subreddit.upload_image(image))
# def test_upload_png_header(self):
# self.betamax_init()
# image = self.image_path.format('white-square.png')
# self.assertTrue(self.subreddit.upload_image(image, header=True))
# def test_upload_png_image(self):
# self.betamax_init()
# image = self.image_path.format('white-square.png')
# self.assertTrue(self.subreddit.upload_image(image))
# def test_upload_png_image_named(self):
# self.betamax_init()
# image = self.image_path.format('white-square.png')
# name = text_type(self.r.modhash)
# self.assertTrue(self.subreddit.upload_image(image, name))
# images_json = self.subreddit.get_stylesheet()['images']
# self.assertTrue(any(name in text_type(x['name']) for x in images_json))
praw-3.3.0/tests/cassettes/ 0000755 0000000 0000000 00000000000 12606362002 014321 5 ustar root root praw-3.3.0/tests/cassettes/test_get_controversial.json 0000666 0000000 0000000 00000111212 12546361472 022023 0 ustar root root {"http_interactions": [{"request": {"body": {"string": "", "encoding": "utf-8"}, "headers": {"Connection": ["keep-alive"], "Accept-Encoding": ["gzip, deflate"], "Accept": ["*/*"], "User-Agent": ["PRAW_test_suite PRAW/2.1.21 Python/2.7.5 Darwin-13.4.0-x86_64-i386-64bit"]}, "method": "GET", "uri": "https://api.reddit.com/controversial/.json?limit=50&t=all"}, "response": {"body": {"base64_string": 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", 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zAnNCExqzOJU8ViqFAyFqlqUUwyt1l4R6n06gDyvkZLKfmOxo8mRlAQRngSkimRD4wlsTsKF1ERPJj6qmOIPELs8TlGkeS4I6i6wkQ8+cig1s8/wRIcyciYTjBbqledw32XgEESy+EakBR8flBLYWA/kAS2665kgWk1XM5IrN03w9ucFUysigZoE1bkWul14NRgGvZyA1wczCOJ7r2cMCDcJVpICPOVyi2y8xc/6eYy+wWDOPmO01CyOoxvuATY9Xop+CC0IGkRnkIWiUaOSHB9YJYqlnzysU/CsynKWzS0sSkscNE9q6kK7iwGxIA+goMbMw/VuBvVRAguaSpMge1pwpjTC1tK4/kTYm4EGC9F5eIgR6fdLLZxsOhLZiA65aTNbE9P94yVkDyC2EaU0P908KFGxHzq6PQ/xkTz9lYcoZfqWx7yaKC3hvEMlFuzrRvGbjrQK6BGppq/a2orwEyapIr3p1C9F+C2SXpX9p1K+hBW6D+FxblED+GlqjvFFfoz1KEH55LbK+8AtsLVHVxgqmLAmvUzTldjcpnGrqXlU8NXNZ0kUl/JNOWiOgOu/MkxPhCedC6ZjmRr5Zbuyv+Gadw/6hDn7ezjdbC/+WYCoHgGH0NyJWrcOFZh0azTo0mpWs/yHL86HWrHXZhq3mwEC7HR/v4PYu3ty7c3LyKL3gMOaKi0cokVfmxRa9u4vxxXg73t1z4lwi2ZNgLLFZXu3d5ZO78ZzrDc7dKU4amg1gxal6UJu8SxySouxBvASTRIuVZErKMsyIXWNsaU+xDZ0uNtXoF2SWyfTFyQ7qBx9yGBTGWMwbA9QRmQQeJN9HbFFjm5FdHCN4ShYtocnWW8kXahTzeQeBFGGi1F3ICMVOiLDTjE/FxNIDDbOGrhiDrVEO8QgrcmUQEtvk27fYmzV799icDRJrRi0YfLIasO+rozsslEismtEuYZJZZ8gySGchJuwj3+AKHdCPxaRxLgdC0dY6RGn7FsuwmFpi8HAOM8aIVt7i9SDHiQh45zvBzGkifIZmrgHntqzquUdOeGD4HcIg9op3eSYauazjcmluVpQap5CqvM7Y3g1WR9UxMZLQuRNJYxb0EPBaUw+JAZyA1Jgaq0AxaRjXAZvJZiefmvsG29Qr7FoJg4HzJIwZJDyQI47VlMiKvZ93KqE1V1cacZbPCtCVXgRdm8+C3YrU7Ccjb+CKQ3ugUj5iy33C4kCaw2t9sup6PLG2lQq4YjBe6mSASAX0tTXxMOnYHNEiqz3XkNQLXBYs5hphGkIGTWL/XPOMXkhCC3gCUyE+TmzkqQQySXg1ybKYQS7Qb8MHiulVf7qLiepfOOQA6gcf6sNikQwjYKawNYn+kFdDU1Hx8mSISJHpQOIHNEqtqduxJy+1uYbmtGTSJTNuf39fM1cQ0l8KJpaOESDDgJF1CjHOC6YplJerDik0MB8OA3Ny8g1ZE1oOLckF8KI28LMRpsCygXmP2VOPFkhiwERo2oNVzCkphvBOVjsHtZDFAp0XizxfydAJD8WzHMP55NE5QQWw+KCpNTiKVTJpDuySkM1ISLKOqI8y12izzYhW7asYoMA4GJvmrWgdS2yPrOzFe+asxcsl9jLrrVLseOuhohhEwW4CYUnEni5NYjI+eGzTsVkbAL26WIb8PCkuDFkYEizLKcZxIaYWpGtWZMLCE58qnAWniY9DO+OELGYwl2QQ+fsMCn0y9kK4eOOxxj4mbIUswRjx6GuJY4xkPblHqHPJ5TBzxRqSwE4yGwSCdTbQekKzhstCm8YkGJn8CU59diXSLbBFEGj9cpRrBA26Jq2cCT5mfpSne5lsLU1QTDv85y72F1IBrzv2wcyRJ2wWxQVaGNspZ6EB91rI0leEWgJ6LCVPB3zDaBFMoISUEi9wd4Q77pzFgpZ28MyC+QwTBiBG6fmhmT//Qa4K2IG64HbUTPjcRbm17gFMxNhjguGDqwTCcn+7hlRwuM/4d6wwJCZRrLhO59M8HgEh5BPRM3KyDFnrDgiGdIbUMV8PgK45o4qcqCxODHKRoBRqRIHLLA4ME16BPcEHD1nACc5qYxwaEW6I6LwwE07ueajkwBhnfvJDUD/L3TiEmINPZP0MWbEkcqjFiCxLeMwpSz/olZFkcguJlLMYmVEIjMB3vAQFA4eQxRKylrlyGoQzfH9SHAA2aVYs4zVBAYtyDtRBf5DCY1sFM6YFpHe0mj6DC2WvLRxycycGbbyu6HzszYE8PhcCWs3T+yCv8hc86giWNkOGuVQO/kbzE3t9rCd1G0Izf7zL+YhYObIEiL6NzYURjCADE1fJH2LYeAKhuWQOWS+evCmwDopcfuuE+1rBJoQvj/3ZQtyRulaptprMW5b6morRgPkRrB5jHWgG+ThGWizpGDazNd0Y3TsWytPysQhKmSzCOePHyaNoucDXRgJwo+WztivYdE3DiHcvWa7oMUF8wJW21coWDESeNu5Lpj3nPTq7eo60yiT+LIREeTI8Z5rEMfltFhcygZXGthUz5K62lP715PWZCbkW1ixTPzmZ45Ks5nliUDAPaEKr5QmSfKEbmJk0pxej5zoWsd3S8OhBs9mJNvpAKQ4aKqhSzVo5Xws2aPWSanOx5JIUhIF50pL6jHDhsUoXHklULNREwS9gg0WLJTb4ybviSE7B+DBfYlpEIke9ZDH8F9irCWQ7egQBsbrTq60VZUGcBVdrhkCyIgtOFlkX6kLR174gaLRIT2HpgzLAUUijJai0QEEyKARYrV40gpzJnKsIEIZ5lMUToJIFwnoQ/5dMJtr+JijWbLgvG3f/ZjzXmsgT5Ep1FG0Dp7b01ebO7VJ48Zt2cmtQtoHfW5rj3fzf1ag1BNLd/eBybNK9tT9c/nobfnENWr+0q3wDSlmCGJe5BsJvx4suzeVb9KZL4LFXXYPP/3lHuwYv/6W+d4kqqnzwdZn51X3xmvVZbCN/FTe9hMdv210vAfo/6rYXGLiz+1708Cd140sY+PO68zVyoErK/Vk9/JL0/WKefg0alw3Uv4IA0APfdBCgrKm/8WBAmeT477rsCc3Lr5aiAhulUOQ76qvp7d3OoLuNFIpVwJZLFl/EjU95dGMYBkNtOA8XIqkuaaLX6xn4tpI0sXoA5tp6KsQTfuYJzquoyJCoOiFZXqry51uqpvKMvG8PZ3cvEusd2WakZ40VicE0xXoiqhFgxdecxwcaBgEiJdJ0MonVUo2w0revlW0rERcOI/VBvHmU8ToqcBTMipqPT3H6GDA/DNOUPFD667nylZWry0TikJzVyu1kzdD1E4G985psgYeZia68CePQeh0mCYJQJJpgsNR8+4i4Ihbs72m5T3MfhSjrT4A9Ivs4TKxzooIrkpdZwBgq9V7T6bPMm5akjUqSTNY0fT6/IDlAGFhg9LqWpV6LGdv5GXsCfYz7B2o6OCUh/27fcrg6ApnuOONd03QBzMLvxge8HOciG8E2NQYlClqxVwRpTlK8pstT4ZFtLRwOwywAqPVWjmVMAl5xlh2an6JUhQN3OwxQ27RcCUETCKJnkAlp7azChACf6MAkrSmrLNbYOSuU0AvtWNNPAYoPd3zCMZmCmVius9aZsdkTEVpeKjs0QJJKcuGUL6VLRijKl0VMXdeM+0LOVFJ8BiuQTApeTEyd+AMKlK1fGpQZGtYVEFQqV1DTd2l5kEvMNhH3g8xczs+s+TBfJ1ADuLhskQmaFp7DmnBzbCUG50ceCX8UF/hHXXrhAqaESICXiz6saQySZYp1YOWMQn+E9jo9k02bHoPSr/mcBZCbaTloZKleSOSc1ny0ABDCrFRGgecWFpxZ87n5wo5FwvzLYBZ91nxUkj4jE2cgytkA1DhxYR1pa8X2MrnnwSoBUgoImJm4JBt3XISEiA48EZDb+spDLRddYIXf2HE4Y+cXP7DgE3bra4NEz0rfnouxJBOKpGxNY+YbQi0Tfj5IBHsxhu1KND0mkwrGZU0HZiGNEGP/BIwCuYG0f54AWWVkHnMooU7BDIc1L06goGC1CcRGyefGMAwbOI8MO/h8KDMD28fRsagQdZmJLuiDY20SkKbjb3g/hF3UwplhQcJldoy1i5CxwJUz2kwl5pRkqbMsq0iXv0UhoQ1tiQ+B9SHYyHIAojYzE9DyzjYBPn7jbmAAoOHnaXv0ANV+z6h0/K7Q38Xje9cpaT3pdY28jLbbq1/db42uxcvPUawM3I1a9J7WYgzJVlTlvXUVic5ZLNy7ox5cwVON0isjLNdwyCrYVLMtj1JWY/k6b6KzmKKuVVDL41yvjdD2etWDFjfpGT3iH6xUMGi1BsGbzdUFWt9WN+Cb4RD//sakfkW2fWVy/R1LK80OOBf+ptT7u5RWeiQQsXmn5EzGba4XvVJVqdsH4PkZaw5LVKXhIwP/NkWVuCYReq44FPFJ+R/xbu1QRAlTFakWtakYO0yNucx7L7E5xFGGP6zGUh54WKplRKvaGAsCmLTgUJNwRRkls/YrQaLDbrOly5DcEAS61chVASeNvEJjoNmiprIwlfl0HzUBo36vbWCtCxhtuSDSaonem4/hfHI7XJaioDgGnC85YMArYk1Mi0sFSAQXKuDnC/7C9Rm0ngHZKub1Fs/kfOrSnHZvFgw3i4FXJMlORRqrS/RXcRzHzK64JQBfV8mBG47jnEOJJDroCvE+VUUixP+RqJep2CPS+D/Lwam27z5krV6vd9/6kDU7/Rb9uzlq8o+eTf9uH/aX3jzg5gdVt1KGevsMGok0jB7IteSlqyDQSaM+8kgHcAbDVRhae9ajly/zWwprxYqZ8d0zvK5BBtpIH40WWGF3Qj/8LPzUuSi8vuVwaSB17Y2Notk5La4IqoNWXtC/SriUeWldkNlBwFKs3Wz1Gs1uo9VuZEnDzpdqj5Zqz6zlHpa3QQwvL/lmmhpR1G13tnq9wIax66LuDN5XyJIqrVNZbn0lZm0+L/uQFTKmUqTczRJxetFGAuculsjHULoijlUyFqxlVuyQdgd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nTc/j17Jx8jv5KU1iCwKn8i9JVDYBTla/5UUZ3ec8JVuAKUYXIQkajhduqB7klQuv82uXA0mWIlzO2YrIuspqaSO57LNk0PA2v9UP8uriXjN0+uIef1yJd0tJ1Ugzf1WJT8tXFknmnAZnVj1zoWHpmyOQmjwW7tV5DCQseSrQW85ZAnt1VzQwq5qvH+W1BVv5tX2U13nwlLPkMVY1u1xElHPlUiQT0E4hDBBQWUI5uNM5cwpWczn2Sa8AEHiixVNefDGxLrxHdqXWpJeYctcOAqlQS9KGBoOwR+lZMgOaqZBIBVee7z7c2fIeHvwqNQN9JAoADn28v7d7eLBnW8SnYMst4hVJ+xwLSeBiaJU+v5odXpqzsCxy81nZ3b2d3b2DvSeHD9tU+b1ZwiViXWEddxgvJUnokqRAB4ZV31/OMvSmUIY6u5sHYfXpW8M7S9Qp4K0CEfMWd5n2iLldcjuIV6MhqMcIn5fZzZS7KCWZkeMdzLz0BXbWDbEUVi35P/9ny1vvPPItD+m6smQRn58Sh+2QEDzLOhBIu762UdM2pRIczF7tVNI0nMPmd8qE3wSlX3qUemfmZmtylNrt3bnTbF585e5tljuBjZIHo3AgGx87eH7+PPZg0Xnsw897z7cn888Pf/cHPz3eDe7+0PURyTa0KbFoP4I+OCWeGjNSA62jbxC5tmDRA9pUkJnFDpa/4nkkeLnj6GIPaRulg6VNkrCSVCxJNov3AIIegJD5poicEKxFNptDf5Uy5Ygzw5ce8fTeaJs2JS5K3jBXHALuAjgkCNsDEjedfXDLoDRB1muL92md85wcxD6ZxqQPAh7ri12p4ny2mjisVaeSH6z2Ct0IU3a6Uz4T8hGXRU/nzP3EUtBRH0q7dI5yI8Uzj40q/E9WdIZX5chIYwC4DF517XJxVb43z0YBdAIa1FzJarqS0ujoibIwpLKaDLYNFb46lXT/EHN4BrEj8Td5wseVDj7GK9BOsHdxfhIwjKiBZpHQod530tmUVC+W4vu8LQm1nJmKZ5lteUyiikoL0CcLeQnJeKZ6nJA79qBnKmBOBZzKgpxg5VGZgA0AFmACPQjawzatC4Z3gW8qZKQHEVVUTotnzrIRYKfUC77AeCWdLAYQ4F/VJtlqCjPqixVI/LCGbjVg7101pAogXtygxsjxnR1f8khWHbPuxUXir2trYsgAbA4FxmMIIHnaFDisQ9vYYzkiGm4LEVLayUhbTjPlH+fQtiqMxuqkZt1TGa1ikmZCXrBsw1tMcZms1tFFjH7MKG2iOie39mx4fvRiy6nr/OXxv148/9UmYMrap54yFzrv0Uca6YgNG2xD7PeJbzCLiGFq0iZJ4Xj6NH9lz+vaIYUrAICGnlkSJhhLyjwzivOKWcdd0IllchZAldGd8QoBWknvy/dTGBYgUtCO382DLqBG4aUk9EKdog6oI0iVpDgDKGONkV53HMuiwwSCeUlt4JZCyJFOXQ8pZac3ZjV/3J1NUqxZaaMuTjVPEPT4yr9pFyxm/GKaxKOwG1YtttvQlOYeG3LARaQzNdTIGxNokCflXT3pDMOB7Bnym4tTu0VFVnsKLh/7gi1Rxfwu8mC+cxPt9wxaw6TqUKmGSB29TctjtVcuf6qIAEQ7vA7H8OSI9NynYWx7H/1emJLwHXzBf0bxJCZhtUtT0qCLLLBq/u9nmU8qtOcLLKXwc71MUz3/lAUOMph0qbofhcZWoI+CwPFMdNBamaP4zo58PxjQIsmCsfixOlNiAgMDr3I2JojUXBzeasTRSmFKEC+Blc4YVuCS+SYakqbwjollKJ2Gxqr/vAU8EKncsczoQnnmb8qhNvv185xrvUFki3UYhJaB2xqYdtVhw4QhCkPkEtMKyOxdh/GYpYVUqzIKDWdF0I4zLZ/8gFTbT5aNknrPpU9i98yrGIOiAESeKbOk8nEKM0d6XtZZ10wBmaXWqrBysWyggo0DciboOZvKtMqPtdmtHGGhMNAkETkbEI84Ke1eL0gyWrmku4a90cVsZyd4knbExKzNKiTLxpDweoxPKp8BNbfnfhKBbdR0rHhWiNWLN9hO+G2FnqeXPXcGziD5E7+BTJbc2tXmOQckANSPiSRDnLEBrWijrDio1fzwUsUhymfW8X55SC/u087uwx2h2V2cdaqqZpzfhETlMduPPHI11kt06WHRYqHGvG/KNSk1RdecU2pQJxcPncFPVI5CYk3NjSqosE4qx1i8fDTb3aupYfW+2aUqrh+OtmpfleppUJxjs+hA4V5W5OpNd6mWOwNin2tI1ahY1yili3bSaopfrztH7C2kjBem5lxqTd2NqiCV+CqLtXu5k1BT8HqdWjHARKn2RpXkD8w4CTUFr9ct3rZMdfxUU1ejIkWpMGXKY02hq3fALsQz2l+nPknWXFDNAm1Qljs1a0pavbk5rq8bbOhjUmpI1Khofz43hdLvmuLuqAvOzmWSamptVHiODy5hgit2oyg7rNq0QfzFmdb89NdpXD8eauTYNNFJ++s0NB2TQOnsR/x4d80buyv6gzEZFfXZUjUNSnsTz7eV4TVg89M3ZhXW4GXDTThpNTRrVLx2qH9FysIHVwwtvqip6A462EvCLPxtZgPb5VJr6m5Uxbffi3K1ZZCi1ZqzlbqpNXU3qgKOFqbk/GGzUoHrdWYeRv14npcenbSaehcWf4et+yDkfDainSeIhpbaxRd/QjstR3h1/HIpk2hQDA66WQV8WYGrN9gl7AqAa6nmRhW8U7IyM+eTWdfWUnpTU9V6naxBoUs1NSowGwXzUTyGM68p10mrKX69jrwOh6N/znz4ucFZz9RdSK+pf2E1a7bSTtC3mkvVzNkGxTyb8ca7rKTVW5rbksKetkwaWjppXMGKdCwU7xZbU9x63fiQkJAQpPl93U2sqXl5BdWwMtyZOlef4yggmW7cmXTSwRy2d+XzL+WcjgLv5OXZB9jk38mLmqasRwRG0a/DwGpFJqWmzuVF13QfKFQY+cnN27jfwek49Rh8mfpRXx+sBxFMzlXJsDhiDT8vcU0zx7UxH0Lx/Ko7Qq5cLFc4Qf7N3b24mwp+btLlW5xlfxMPY6974/Xi5HqWXsWJ/6Xg3IZczZvc1EOt1arySmu1GjiitQr+Z63Vvc6A5isf/A3XtWwDKUv8yODX/p+VPmP/ia/zTmHn6KWTpW1qtu5dNQ5b7PPP2Tc+xI4nFrfzItptEx1v71lF1G7lXW/OxWgv2PKyM3zIKl5Um3+kqxRHLtA9z3k8oT91vk35L6tclMoUqXFGWvsYa8EJabkDErWO277Qw6gl8SUsdRb7BqGrMg4X9xzvn4t7m3k6sfPOxT3lLKMPu2snHXpmp5mVnHNQtVuifHYLtxvb0G/mPYO2NvWTubin/WOIit/KL6bFkUH06BTdW9DcakcWkf631H9xEjIphqcwXiVM15Y+9vRnOoNIQ1Z09Gi1rHMHEWSBP8f5IheNXxedJwNHrjxO1mqZDitXDap2Re+MVus5H5AznhhURGPnC5dM6ztWnBfdIhYdT60jU63/RG5+NfONyH2y0O+h1arydWi1vq17A9q2wT4LtDGX3RP4VP5duiWgvme84XpfZe8QmPoi4hg++OcighKg83RcG7x5owzh9P68o0zWfMiiyrJNIlOrxVu+kg5ara/Edgu2Y2w/HWPUlYpd0yxe5oyjksWYOPE+b2aUDMZYiAwyPpwuXA9NM9YxbpcqXTXHmGzkIxiPcsmqMLbHKF8SJqeqm20h5XTXDFF+q7B/apmDzHPbyti6aqYDeEsZRXTa5tKYcZ4K+OkCsPKWYVTur0U06Q0nfSggiN5XtBhQHjc1D8apZuZ2DK6hBGZxPvs+cxAjvCkgNpTJQ7UAT4jpfaVFrAAQTRiLSkiBlCDNd9R8enN+Wla5F7GuJSr8JpdvlGhdOBZATpWtLd7kXqAisxqC/3nO+bDqs4NKbEC+5ocGtQbb+NTg3sH+zsOHti25U4OqlvzpQDneVTgduLe78/BJ4XQg5vkKhwNtEXdzOLC5AiswwaJjhCDdqucI9WnPv95Bwl9UUBVn+xHBhqMPeVeBlpxnPRwaHszGrqjAahL2ZpFktdIFapKko+lPux1vwiuDGUuOFqaPMj6tusrRwj+0vzyKhROIub3PgWPyRxH9RUcRHw4v318NX+8kb/f3Dz/9410/PPnl8POXN8/+dbifnRy+2f398bvHP//H51+ygzs9pUhqTe8K7v4O/Ga8OReDhdCGJLTXzu5BZ+cRaQjzbXm1DeaZttEiqQah9iAsKXXAw3s3ziEGhmT6PhATmUoMIIoXcG5aFRsryYXTbcVMnIVdTZ2gjZ0qT668Q+roAE8nxJBpEnBeCfvG1AzYs1WFkpIpL0kGVRBHYinkbpqfG5EN2mNJ9LIDaVFXm0dCRHIWe8pPiNu0sAJRyucLXsasOJOU0cRrm6Vj1SKZDZxi6yxGL8QbOQRBugRnUwdHymENNaRI8+waQRPobSUSxKWUHbCd6O40J/XEHPnXiPAy9mfDEX9pzpk6TXPC02zp2DQqHlVJQU4qrnFccvDsOe2hCASEvVR6Seov909CGqGdV9Bp6GmSBuNrreMkJtiijyiHbmX8s2CAKtNEDS60Gw3CyrLxZN2A/ETVv3mncw6KF3iIKyEQqU/Vb89SIPteD/hXjwOuLKgpf2ZBVEUE32RFVh5TgNk28orWYN1RWVD4u9jjSJXPSe8E2NrwGzy4phjqFSuLMn9/Vk/O5C2cJFFL4CqK51Abodwo3Zp60ZlF03g6G/vJdjwNI5qY29MZSXeRlP5e0rwPnOau3OLxogULrdP1s4kfpWNfBal+ys/eCawktri2t6eHVHEzmS66rzxh3/+0aNFAM85hcawfs0C76JP8SHPUV62W0yyHMAn1eBrE07EyDgD5SP05GkZLYEwTbRC0vRfX6q46syLPQpgNRpCgudk0Obthvx8sXPInCorrC5i3ZfDfLRUlbst7yrBfnLF1YWsBdKBDuS2o5gyIDOPJPGkT0pEY9nQD6yKsGj8pARXAMy10xC+CGJQitJUytpTufHFrzAdiLm4majvZw1OjSZTbJMU4QDt18EWm1MsYy5yjDUnsYaIkaUBjP2JOa2EODYqYPV8a7uwy3KQ1t8TuLCUWlKak7Re3ssKRoo23PnYPx20Yrx1jP7/2OIYkF1LglFV7aE3t0sW8dMEd5khQchQlT4FbnEXpBZBgnaoXnEO5k3wFY+7qx1SKpRdnog0ei0GizUeyYkToBddabWZeoQ7wHp+5cpyoO/YQ4PYIldxNDVhPqv3cF9uJV4GQrrqKJi4DTeqez36ftdNA1XtGTzWVrlA2+tT3++iT7VLfjYSxTunzAFsmL06mmogepP3pfgQ/0Xu7OKsrvAsaog09fwoguTB+zyS1pv4VqtHThNGSOGFDrFOVpN5NVWPSYnnK2+68oaQlU/4uaNkPb8bx2Kn3OSfU1LpK4Uk8LXTrOSUt6dYKFfBsHN8UZkGqjhhXF38XVMPUwAyk7RQR182Cw/yTtJoGrFgP7XHjMU1E1cFTPN4Z/WB45RUd6fsv3lLSSot4sdOQvJctFHbfBBcwWDPLX2mH/bY7Zypb52AcTp2peiwpXGM1nZuWr2ZKGNNSMxPlOMbI1pS+9kLgbmUzEq/a/pT0AtkWuh16UFG9t5X20gn7B7s7h08e7jx89OMk++GxlPgSXkvhhxFmxdH0LiiBJgEAbA/jeKhalBKbDtCotKPu4vgx7P9Ab9oZXI7CdsWN1Nyyo4gYWNhH07zdmsbdCSGbtzoNxpBpeW/KYtrv4fy1oNl1R2Kbtk5vhWFv5AfjAVpIKis3kpmHmm/vT7x/sc6oQIn6zXElFlIT9ErZp6+CYMpqnFFiZVDNo2cuU1BuAA748S7OvHSWBD9W3bKtKLAALihM894oHPcTLRYXv7HkaPPP6vP5hQ5yDOq8CZc0blboe0opLd8DW6kgAgm61K5i0kIofYZEuJvB8V6ta6OJb8IPRU1Qkm+pLg6HJPQLok+PJ0GgQtGncuHKKBhP295r+jdtO7ycW+yJPukojFXRJuzrgqrINedL5F+NA7CdibukP577N0RMvn8HYCU3WTtSAHEsurPogTQuLI4RpGDtMPo7IkKneO5Mk5jWy0TIBJDUh3tf3fAV2q3dWPzijaPFthTjUTuhpmcCKMLFUqNDic0IU07i454CoIWo2OKdxZW2BO2gMjs/pnGS/RBp7+uo5HSt0WgFPdsKkxB+fE6etqdmzUqkIsIzsIsxDDMxVDFp4IumPGi2EID7Yra3s/vEOBkVCLqlPaDMDDUeYd5zfKH8UxjfYkyuUIegPHCVFZxPpaKJEfw+M2LQ/MTAbfNuNhgX1XLXFak4VjI6Fl5CCwsddi9StcNX3cZvyHRos6Utqx9XMgDLMH5R14j58IYKos/xjciweRyqYbGV0NN7mh8v/UmoNJj/7cIxZszz18+hb8hbJ4ErqxYemhYtk5EaHLpnbvLJNdWsJdeZimivsiEdbFJNvU2Ll1VWvK6x6k1NZWt3Morim6D/IcRdE04LnNSa2htW4s/n/VmvGB8jl1pTybpdFBsNTDSmaptUU2/D4p/F0SDg/eBp4BzxyyfXVLNu954j5jopDajGzqFcak3tDSv5iaZ8PBza8nVCTdHrduwNXH4yPwn9KMdhCuk1LWhYEeMlpviV0JNbdIvLP/74Jl8hJdTU2bjozB8Xe6OTaopft0sfA39cITpUvalpRcPK1E0SZaW/+l1Nhet2+wQ+q3ly26SaepsWPw37wU1u6tukmuLX7dbpz/k+qeeaGhsWrI37pmSdUFP0SkADC56kNbTbbc6g3JzkZdnLpti+oS9/bpw/pq1VLwvtrpbI3RrUUuAjWqGwsJJgk3u5cg2npKLAey7K3g8Kw1h8U1N2I4N3If75fqk51ZpHhUboKIQGOngVx33v1ezGe5UEw9Topo76Kj1bnq/QT2nool6wa9nyXtgJ7pas/NIWFlXqu0YOOvu7j57cJJ1RcHM5nN2kl/2wf0mK3yUJ60lnI1WSS319h6X6VNN7tCRuuvGXPZgJFNz3DGk/FgvkItSoL3E3NSdipUfKd+mvc2pYPOEcdOxVPO57b8NI5oPrAbmkp7c4JSyV33cqLfiWcr+ofO98JUfOCvf5Zk6jfLsU/tfiI49cteO5ybfu5ndwyfMD/fHwrSIX0jboT9mD87//W224//3f1l1T1wiUhhsgff71gXKO3DxnF8pfvQfiVrnpvnOaoH62PMcx8tz1dawgjDAbLrXo/4gT0a01nB1Nc86C+4vcGtFf7nZrDUdGPsB6Z56KdugNIcEo78oJ0ZQtB/NWcjfUU4y+LvsV5l+eGx9BPnylfeo2t7zzgn+fmRRFJH+Js+CmR1Pi3HXtWzi9HIfAzaZef6YzdX5+BWKu6dEHCi525DN13bXrnrNOvpmzHrjKxsb5Gl5ziwc3v1lbRz0+iAS+xgd/DU9znNWI3563Wq7HW6tFORwPOWF17icOvyv9MaxXnNt0tRfRVw/Hwfivh9NoOMz4N+cf5DhHA4azxF4jXvQD28SBLeOmZfLlfLkkT8BeVjmSqTK4PGQSXk+Z4RqVy6k9p0xRfQR70JXJM4rZxMfWH8mWsdCHaVPXiQ+UG1GuZNfhyFSvnIBKvXFdhjiz9uYxOXMeP3xNsHcurjcmi+Oaw2Vo1xmbwXWvQZe5s+ObXLu1e4zpoPVRyTU7787CFSpXk1w2440iNNDOIrZK16NkExPKzLwqFxDa4tR7OxNzc5CbrDwlpJKiMwU3RJwdci3V3hA8o7iYgruBU9ztnBi45pLJfdeW29ymX+WJwNSrqmHvNjVUeg0wbc4rLPf5Gb3Q8r9pZbJdY+I0tvj70p37q9jez4tbrWlJ8UW9BV4Cv3DL9tpeIyP6OZj5fbaCyw2ZVcw7Z0SXSqrl0+Fw6C21X2NREpcvGAGpOFXCEpZuSf/XMj27pLfGZXW5cbGWOzIqt87pRW7a1uzEOSPyZsuI7S2xD7fYKizit+rJvunJ/0zbryhv3JWDtnfexCi7iJgqd53ld5P5uloYuWVhTKKbrdYvZXNqq5XPVD//edXZMdrY8Kz91F2QC3cWtFuZG+VBOpGJaVD4r0mG1c5TcQK4l9a+5uF4v3rlGL4kd85MZcq0FiTJlTf3mGw5M4zk1JYT6RBSCgYNycb7ssnCT8cf3+h3GtQ3GUpAu/e1U4mH8xcdF6mWMi20bBumkF/JoNUuerJigYCt+nEb+aqA0ouIX6kG5uFPeVVCJ3OsmafCBon5y9G+RdO+gocYFuI1gxvdMGjcnI3zBbVxTpWhVLPm2UtBPxXvAOVsnAtgZ+rLY3qbzjl3bA/lgAgsICBX83AI1XcoH+xseQc75WAIB3uHjw/31HH/JsEQ9IF0NxjCk91HB3s7O/uFYAh5+jHgtjwqQq6su4mKUA3rqfGsiH7w1wx+UOj9gngBv412Y7chTeIFcFsKR/iJfToIaf7gfnfRwf2z42h/b/zk/cmk5/9z+18fb/bmT770k8/vw6MP2/GjcPf3f0bBwYf+q0/zOz24P3qIX0pS6OfOVDK4Bxng2ckJ7XYAv/rAiSA3kRg0ibvhmKYhSwly07Ls/eM4vvLmQZj0v/NO4oQ0KMiRvFXTfqEOtHO1zEU1fJ3D8Tu8C3WE2tJa+a2kwQKMnzN7ibnjFHCsCuTE0gg6SCL70dnZd0QXlkO86Ww6DQGOMO4yiyLzQBt8HGmrWsGAwk/lKJY6QMiWd03kiAW4hH5DhUIQ7c0kgh41q7JYNkXQrkrCejbTobiy4vnhGfyZ3v3y4vXr18rQ5aRYsgCowspAxbkCtCJW2ixAb8Oo99Kdz4+nnYe0rsdjTDCH9V3SZh7DwjElmY+l6l40fhz3DqU9GOiHnvoO8qP+zsN3EhRD3S7NLVUTQhliFC2We8WZOWN92WxwgsI5S9f0USxLkmucZHGCG4uCL7NM/b590AE+thAOZIRQbBqk1JIHzz5eR1Of4x36pO54D4Aq5Ec16RAxx3FqjZfq2dKJMdo07popJbEZB2yXGIUTgV77s8kU0dHUzazVjonlHvZUcE4FqkjYKQkQWtnapZc0bXL4QI6hwxTh+HT2tuam7eKFpeJTVlgvwI2mpNNd+2M7CHaAENtuDICVvsFaNi/cy2bnGCO2RxU7ufAOGaVMxYNCoThTbx4RK9MjAcdlqcMAIUepmdwqYTCLvr/yk4mPUGojWPBM8mr0S8ezhMkkkUNBP73GVysITJftF05c1DTuISCfRKd84CDnc5LBoVMW7m9vUM07Jzjrag10ZgdtY8I9txCdNyKZl7SCKU+Wfszze8GsJhXIep7ggeuVIcfYFLKDoGnmRz37kU2yn664FLuIvka10X+3eZPqBkAp9JXF1cUU7m+1lniHOwZjjid3Unt3Qt7CfgsH3mLc/Gr3XbaHLMi2tvfuglDlGJ5+nKBL5sa/I5XgHTW97q/Q8lzpzPXtdQoivntL7hxo4rxU0yPZabrQ7Enc1JfAaZWYNX7vOV7UNGGV7nGGfAc/clJN+Wt2cT53aDqfLyNow96UPXSP7tA9t7Y7EQyktkPyWFNhsx51/e5NMA6mIz/KLMGeUqr3QiUvI916PesGxH1JURgQ89ecVjWC37w7wpsj9aamGQ37SxoGBC5VBT15CPNYU+563WPZ6DogHacPQ7NkYuPUNcJCS2pN7c16ZcWqZ3d64Vu5Gi3hmdpAvmUXpDXuhOhAtuyf+bmm5DX7Q8qVqox+1VTTsANUyFXY1+2H5vZT6N7+XCp3veaXbqx7Hg/vbjio9HROmx7tBSMzvaiG1DuTVO/1t5xrzl2BL5dcFNisP8MZicT+NNTe+a/4mei1tnf+4k4MSSJlayJvrKpeTvPeqsSaupv1i4T0PiA1o3i8Vgne0Te8wlKUtBFVqpwuOUqvJNRU2qBLlUhxR5sjBFtUhsqB/5sUcDoyDlk/QaZxTyGX2rBexxMgwxKmWDJ89PG8ZI9s0G+UHfQRwtfXJZPg/YGfa0perzfuXZJs6qirqlkn7Ar7pktrNqWdE+bDKJir+j7pJO8dpdXU3KwjV7E/1kPxE/+uKXK9zoyH3cys3zevnp7mkINSZc3a3w/GeDmYjcc3vdGs21Ve+s+ddO8Zv6ipa72OkZ7UDfXm8VEeaipr1rGpnyTmTsUP8lBT6Ho9mEBGuyH1PCGu3beC1ltOx10r/MJbIng165naEwZ+CMdVyaO1speSWFPHeh3VPUFHJMe36FvwZYrQ6oBT3O55L2x6TU3r9RDdoD5FfSLjJ7VtIQ2DyInepzX3Lixl//cbO0ve0NMy8q3XqSuYruXVT/hZU1GzDnSTWTq6kX8lx1P+7cl/aspfryPE8vyrYKbG5Ug91VTXrDtEfFwM8JL0LTPiHlI8JNUUv15vIB/EgxiQppb7cCdBPPDec1pNxc36xYLBpRVD+HklVX3ZMbHimR82PCkvq1xrHIltGmTphLgGfN/CLAxSdg5Np/7NdhSQQgTQv+eE08Mb8Uvit7bp4kiE4r7zzka4U0m7RXVxDQNesE0ROteWpxgmgOY+PL5CegnHffZKS7wxLYwxLpZKkEsuTuqbe7TEu117fo3iSTAO+I4b5rttj7EHqZGPcHCRVQRg+KI9TdF5J44eejxWxcG/uzcL0k46CuDI5AzWFhoD7zb6Ox2TknDjGoXYFDL35aYt4NU+t7TN39ee1TLYb7G5JQnbzxnzul9+29uHSAqj/O7OruqNCOAeJRTmGddj2rCHp7xpWPzWpcH8Wk3DJeeKzGkhCPkYbhh3xE4bi0sah8+Pguw7cTNYfKpK+0B802NVDSzJbxwzchtOr9qM3G63mxmS9cUTmAk4xUCSCFuK68zJymaqSmtC+lsc6YLZn8hI7Avuip1Z5+pmt+pUF3vrbFgXgvvfzHUAhDvP+QGwsxEmu6RqL6TaIWtu/FelrWfqRyHKpanCuO9a712b/XkzM7p1rF7CAm5jz9+0l0teiPNbq8U2djkFwnfMvYu9i3upT4tmLWt4xxi8VzVzox173I5lNmxIdGKmXmycvoj2uazb2J0v7hXszRf3cC+itS/LoLjGY+SIcVuiMRbfrzQSm3w5o/DFPe79Abe4ztJ7ER1yntsbcS+ih1xCzj57ET3ixNuYXjtiYMUbkMWYTWVAH3O5iy2hdk3RjCzZNWV6fv36Fbedfd3+GzEN184nPMNaAje/nivNBSKXvOVnSGSb+FjNX8eY5uRybG+2pI+Q9txcLP5JacqCpVkX1/IVydb4pN/ZFPWlmIr0a3mij8tGHs5StAihkCpTjGSusN6gaG1XkUzK5oKSiqYPzlAwklABUJnUKyEApHYNbesXeqVKfmUs0C+Fx/KnxFcllX4grwbmTSJAe+R08XN+6SDs9GEJ/NZ5XJwc5TBgzS8ZxaZPHbCZ0y0YjfwFSFhy5KBjKsKFdTmHA/yiEAeA5dcOQktflxHSBT65nUVIK+qwWCdX4WChVIWFK+WlBjPxoWCLnC6QI+U3xNBkyON3/CqH8tE3gsPxK4Hn8J0CzDhVIWkYrTLMJeNVgsWkZ4xNqW7xbzRRwCVppfxG5irsh/OUwSKzug2AwxnVsCq9hSlUKswFZEwxLlDilOTAKmq15FANzolEC39QiQacEMop4ALfM5IgVMYvrGgXA+A3Lk6Ab46Uxi6tUg9qaRp9WzdEq+Q8+3OKMedwtWceBq3b8lur+m4KT2d5w/qbKx31vKBc5iZ8c0V186+uip7XKpim1yXtdPN2Gqcmd+EPknWsAVIOF3OXvIhZ0jJ5SDc2RCUQlREpjpN2znNfqSXN3fUX3V64u7flPTosO+w/fPh4/+GTfVv9Mod97RFeuL1w/2Bnb6/gsA9SsBK13E0/V8LduOkvU3kaa6lq2d1KJxWV/Q5PBpA4jTff8GDA6pAAQyMOcmbd5+RuatbFnYi9WlslzcDHaaIxDqwlCA6AuFEYrsjL5jElRrSVys1P9vPgOoi8cODlwrrg3B/2UAEBql2dHbzoCIfV+IirMD+j2Xhx9zPuokYIDxpGnjQ42Sr5UvoHM4D33JSmTkyiJs73PUjRUatAqEgSHK2AZsp3jsNnrh0nwWKsMcdVsrjv34QQzUmH6/jdeJZ1FEog48BBoFGJwIvM0MZjMDww3tPjNxLyQCAX1ZAmGMmy8yG/feaZusr5EDVTWi2ZHa3WyhOi1bKT4L4z+KLk/OGDi0oxknz2ePHOUDOGm4sHjBdw4TRNriQHpmp4rubh418efjz819lN93WYffgUBh/DJ/v/Sub/GsS9D58PJq9ePHx+lP3jePDmlzs9V1OGakX6ttuj5CXxGBKDJLtRkGR1L8BkqyO7cZZfiO0ztWiQJwFjUHyij2YRqd1Ey797gkiEfSfMNM0KrkXFoZYCmPQSMava67hQ9YlMbfcKVMw9vLdcKp0GvZD2b9oeeyUXZNm+sHOxyCKgD80d7wHmfTeJ/b4blohzAjMkWXs23fJO0eDjNzJXcNBZx9J2rS0YhinmhwyAm2JJXuuzbWLFKRiXwyIjcA96bC+ibByGPU8gpqLI/94EVOgGCKhDNGOrTp5gchGijJriNXxY3o2xg+BFY/5Yr3umsln2MjNoEgu4VmAkQojKqyWP+VZxWsqITyEMzmPZDWjYtT+mGUZUp7kQ9TQ3doZadHwJzINoS8R5qKAhviWucAP0SgXaSoLpjE1aqv0aE3z69NmW9zwkWQM9YKSqdtxqyQ7Qr8j1gAYHvb6G/Ih1a55KemEWsNxb7Baa5pziAHP7cvM7JqPvDSEJEme/Dp0DHWs1GVsBmqZ2D0WfEq2hhPNaxLZjiIhAalt6F9ryWO3k0Bc+5FaW8BT8V7dFlUJ43b47wq0SBegxW+QapzHpWmGv1K/b1+TREqN+sk7NM784jm2JxCVLJQZbI+JQW4CVOhxIgGQiHJo5i3TTmbcJUg2IW6234RAGLx/4aYR5RAxMR5PKXf3YuEeyKj8G01GClV8UAULZXwcc+Iy5sRop2hckDrxziWtufykzq1PBwvN0BHsq0I06MwzRr2xUWAW5s04LeoeATGizXI9sS3Xuzt4C+XohwoNA91C7SbEVwiCY/ecaYffE3C4F+cTr+j1l5HTXZbmRihSaNzNjUsc0bQuAZveVVTPkEF7FJoJEqDYJfpuFjEMmLNkwkCDhLhDShPl5WwAqZOJBlvFlItMMG910sKXTPzH9pV4hIiLiYhBlAmJbVM24j6bOMO8QDCO5abcW9A6/1LTIUU5olBtEHgGOyKe2Zo5qVjhFTMo1uDp1hUppe6cVx67OSjuySeFGKps6OJEOOcLrrqtEZyNSPGAWd42wQ5j48zjpu6cB0YPS+DpLoDkxQF8apTw1pPemv07phblR7P/reH4am77zk+13Jc9zW6qOfpXSC/yCeF4WTpm/a+4KGs0QGYVo+yUkutI+DboOaJdisxkJ6Ia2aTzI5sRAOvOgq4xFvMbyhIFA1qPtwczfedgfAuMinnDGP7HEE2+3vbdXGorGfM9S44jYJ9uksErsmsx84rUSxt9ZcXiWAXkggTGZ+yv8qjwdchzRnqjLCVuIDwQy4sWKim3xFlw8c71Wq10Y3I+HBvU6iq7TctvYqpmS08ofNGi5Nhts4MclsZtLmDMvlSoTBUFfI1XUtPb+y0uaAe29RxmH9oAgfzkOSCUeBZewnibpZZ/mVD+gnNLzs9GNN0fcEepk4R73CjBBxOoj1B2aOKXS7SV3zJtOi6+C2ivZNMvyy3SKQDYqOFIDuhRHlIQx5VljQqg4AwrehOUh5t8QuzAWBuoiznRt4jSqYFL4cgHLqG5NRZSjf9vbz7VQGgfcguQTrnnhjTbuXqqiyDqBuJh6yKcuKTKt4G8V0wN1t5iygjlQLTerrHS1xBBGNck4kNQWDY7f680SxJel9cF7zxyyAKXDHj9NQrxSnLiw06xJNsnI9oAFhNsS3YVEfYQxS4m3KrlORBpezdTIyZQUM1HvG9HhLb5ztV7/mhgCix3Ka6pBN4tztXDoglj3y6N/2q4Yxf0WxVp2JoMtBdb0t1KffpGFtIIydZYrv7S5GESQS22cNWc6ygri79RUZPONIwmL9LtE5DU12ZJFthD3JSjloqUTLy5uihWUm7QNzmAvii4kWnoJ4yvuRiXSLWypXqnMXpylAfQMc5jkRATNFe1ckBqDRz6Y8i/ECR4j/KVnxLFv1So2s0oAuFLDlKVhMWFp8LNZN8DXPCeFstTsX+LZKb24O6LCvHf+4fnLX8F8ziF3/ApRgyV2s6EANaANxQjaa9apYyHyzJOQ0qAKrVjXocofQ3m48SakQchUJ/ZNijOC5KkNbeorZW1pW6rkBPwwhN8gZqyDHvAHC2BKftAdAFKNRnJjsFi2STZsxLvATQU4FY4gFX+0CbYNQu1cIxb50Nod7tQfX4kyNWNH1OOPz7gYm+Nv3gbzuWPF55ArTHockjSinQBrl1UShi0ruxR0ezRa9osoyH6kFNLIxukPOSbKcjH+zsbxD/0DNZ9tAMTa3palnlOYpf0pe9qmtNJuRF3l+YrI0sYoZwM85jrQmXXGwXAe6H3QPtuGfOedUldIAFdvZHer4/H5QSm3Gr9kotIqZuAC3nAKIHFmcE0dFfO28/HFyeXJx8tncTQIh5138B55S6PxjDZl2ltpS62b1Px7iQ3JujhjSL1j742aMQ9oxXLQujqv5j/srggQladbAysBNlfJWzQI5Ci9AP3P4/0KRrCVLgL8OU75qsS/hZMzjcrfvMfeW+VnK6OV0M7+nVewBSH3+WJzza8PigYetpW1sAs1JnWLKNHKEVviksK5sYq4rVaevK3WQoKuYUE5d20k7LZjnjbhr0kt3MiZPzY4bbdN7au3ZrRalOcb2S1wk8RqFgqi3jcySlh63NbMQG1jy8IFZmylReHinvjO6moWmAaooD/UGuB2fSm+D6O2Q6kSSI/58qfg8qZZtwPb0S0PYa8VdtxqYS3QUDhouYwsO3vr3BYOb7WWQuBqhgjqLYUtRbtlzuSaVoS1icWUoGyq6s9Gr3WrW9JTg05f3FuMSt+vRKNduPm2IPPFPW4AyFlsmYWKqWkFiBgsSiO+PPflQMU3wWmlNWD3TfFZmRzUJGplLc5K06FViai2xEffMzxew6Xn2ECaeo9YoFRcR5qiouqQykX04LyEMC6q+9tBnZubslEWgEvZKlsqVns9JImA8ctCPpcRyc1VkcdW67waIlxUawMIbRPcaQGO2LJFtRaAhopId4AIni+C8dbp3ErAn0iFy0G9cwXKLWpYcaz11JXx5hVWc9FP+VtcjYEJaoA3mZpFmK0ls6RVxtS08NEUJDsvgF+msYX0zU0rFSwCkNaEtZZX0BihOrfAk+nQTQGhcnt0K0yJWRu+vlN0SDFMvtAAAA8rMEvgG/ETlwmzaLYV8Ru1ntnTHOu6VQHAtFqrYS7OBRG2GStiLgpvMezmFsiJBUdKkAiIqZzrab/8JYdqMOVB9+UAxcLA93fmPr93uOUdPCq7zz/effhoH8HwG7vPK4dZ131+f+fg4OHj3ScF9/k8O2JFfbkjfa6su3Gkx7BwKxoo6+CGkler6hfRAj19HRBEMKNFbvUPb+FXj2njOjLbYVbk+TMc6yWOwNnRx3fH714x2KMjCzgYkxxeZFKJfsrMSGjenWUZFD8lxRheVfYFXwgEk4YqZx4w5HwFnxiKHGOoi2cwDtBNMMDmAzlALtf3MUfDnZN8ahe6dVB9bSAEEzCVLok9mVyChP5ds95OUk7bO+Z7e3CtCc5N83xRdfh8Fn7Oh5lQtfFKZ17FBOCpwWL5LAozqL1JPBuOjKBO2n2MqSpt13sIvo6VImUmGG9LOKDsk/aBU/GxHM/HhuDJCVJTQAnCc+iuogWwjhzMtyCcS+c4mcduNgXHxxclLL1CZne2F5lTTgK3YRFgXjcN0mA82IbgxrJ8aS58DKbMkNiHHnOQu61ORzunupQ4gFvEsPXwFUKgISYtHzUwVzXN1Z1jqk75XH0mZ0MsLE/0wv00OOktPe7ObmhY1LHrQG601KrsrUkgs0wPqe/9HEZBiRBKRpjOMC/OkYVlGIPKscK/LaK9IyaDxSkxUd13iekn93vy2skYcLiOxzNc2jtjKWA2dUznzWDhZec6RhLWYpVzHaTUKlYFIt6eLbE0AGSsyHdaCvP9f6ymMasBLRvzlXOHPyySW4uMRd+et4g/0Jj90SzhvG7R//rAZRKl1lcu7ZbRsv+o1SwHQovHfkSnciw2+fM+/qLzPpNsHvVnPyc7z6Pkp934cTI9/RA+nPtvzmYfwsnny8dR9tPj8DB7/GTn7s/7HCk83h6e5G6Y8ceR3PHYg2CVtr3nbOtQiBqN8MT/bL4QPRnTeMqaJoZW9Es1c7ZouCYGkS/z9OVW79xuArJWRpGRceikJOf2Rj/+9sNg7IfJv+0fbV/rWynwF7JuEvZIQE1+UN6/+Mu3jY1icbrF3+wHEpSVy1E8HNLMwPSq8T1r0OSrcB5CL0R7e7hHPevgMY3imPQ9Ph69Ib2Qiv8RK5VXm/mrKl5K0OI1Mjkii336rV0Mwi591y9aQ6G8D/xYlnPqRoMZU09UxNzJSGuPlG3edq3o9GG6xTGk7M05uZhSxU5KcvNLIfJF56+CMM0pJz+3C7KUoxD2rvHlEPgt6Lo2NkkBuWB9tk2l5A/ylT82aI8FvGme5fD63ozWqzVr0Tc0UBx4xLFmqO1B2cE6ulVb9HseJ+O+TcAKL7WqJqQhfktEJGNpdIDGUkm13T5RsY3AllN7OzpDR0CM+WriiDixyCP9PsQfvGE7yil2B/r/MIFKmzJH9CMvnDC/pm2IbSnqRlBq7MSPiG6b2AK3YHqlKY7pjX2frZ1zUraJ4CtTQ2I6zc118FRGqYhaMrwHBt8LxRaLAeOyPJSlejkJ/AiYvddHoBeeFta//aOIRdDuw55z9AtbKmywsEXST8b+eXdlw62WmVburgSEUvOU9hxMJdqPusks88eQymKgipwmwaJQTamSWoI80yPjSDnZKE5ZEvS9fjhgeBTWVYORcQgnFGF1GNwq2r98Fk8v38WXz+MIJjQUX/GCGyKupNT8YJwGbCxcmTiHbe1MIb4GxhbB9CqVVkuFBzTe86Arq0FE5TiiqRzQeuhjpwbqi+byXq1GZJNH59PHN2AGSYYLrFMTnYsFAQhCY77PFSJvbIRErmblDkvgrinim1Bxw1g5kJV7syD5FGRmUWSCuVqS0lkQBptQUs7KDZQgYikmZJiJMYQmrQm0dh0GcyGQE2fMvE0R9IUSeR6ysqToiFIQSW+wzQrDgshmIjmVO70g+ecwlpguKVtRx6zMMZ8V1gXOxVKeAmF531cyoAziytSRUGiKF6CnLEsnvkRtQ9C3Uom1XTiBzqKNpnEiQYBXaM+TAnNBeJBthPraovmBIYxnqdp4tun/8ouGLvVn46zT9UF65RRbbtyCZNlHxHqIK7TnTv0DDqxWLnCd+LgORKU4nMysBXZZfLIEozKiW+0ZkdzhjyUlVtslXUFXG3FnjnztPWDRI2E+jWQr8pats+ib2rp4a3oQtoO22ZZIgmVfmU0x1yKz1nO0Co6C9F5rKyIGeBJOpsQn2QMSc5oJzXVAEe75M2wk0PWd28PBCH3suoMZvB5Y6pJhzwm0RZnVjCd+iBQMDfhvZXhlTWAlq0JTuH1l2Zt/F1vqtBVhPdacDGbK1UyGJBj6CcsqYku3AisLaprZ503pUmoTk/dvM9JGckddcp38GMhU6hPx7H5SzlztHMxZzhQ40g/T3oxxNxjqdFk/ep+K5DNUuVSfhPqKqqo3llS2VfyrxnP/HXxM0P0fvWd8pTZwkco25Ot1hgWzr/iFUvvNN+r5Ni3kYFDsMuhlCZxoEtI/5frvqrbqPKZqnXCbus/CdMTsocd6kJZsiCPBc0ewQiz8LjzyNJOHtV3Gs3R6WC0HtRSyawf7x+NtmsgDqGLIKpVFWlJRfUcFvIwjWauGRrlU24q6U1/1HvIFFnai5zgvN7hDIU6zwLv5Fs46n8PxeEorV91y56YU6FNmVIXKTbENDNUWGyuOgOrvEtTeuGj/zNNAzKCLXef/kIDg3Py/BMrXhIK3cId/6gP0fw/PzdNkFngnEBELICny/Wk0EAy7JdGvWq1zF0YUHL8OOKuBMSsgzBx8ydAl3NioUhdCtJU2ByI30XzVCwyW16rACu+XMMJzB95b3tcKkBBuR6rGjY0NRuaQwD+8rx7934HenNCQX80v96d2V9VIlZTwJwNlOhh4FfQlDfxrQlo68HgOpJIGv78N+HRxT0nuCnS6uNcQbNLxxPXm2xA+kqbeGhaqAHzyMA+HMK8BbqT+PwWQ0bHRXYhFmrMydKIjqv9JYIi0+g5ADh3BXc2qSthCrcYCHHER3Q3AoAdgKXDggQMKO9Pm4yY6fxNfbMWI2QnbaHPGt3q2osuxmqw5Db7V+nZae6t1l4q62XjY/vwHad+83eV06dtR34zl5h+lMvO2XKkfs9zjNVF8qzRa+bpSR8UpP87PJ/z4l7iSO9onf71Ef0Q5Op2L0g/qPOQdqIDivAEFzwyiSVG1LNHiiiqa9s4lLoAji1JahW7lKk934bR7T21p8L6gxiHb2g68j3a2vEc7Zf/dR4c7+4/2D2xLlvrvKseoYvjrvb39hwX/XcXqWKUIlzru5gq5G8fdP00hEb10kXvu/xrvXHETyDmvaScsqQDbQ5u10vwlV9XoXd7TwmAaWmakDgdBROJYhj1gzKHwaXdnEdZ7tE2aGIQQrs3BLAruGzXgShnQ6GyQhMziMD2Q3MY3V7HsyAdZFYelqUK77x4mToCLmKLh30hZluMnxPUfkFYlPBM6RJfGKsi2p6QskqD+1p4QOKItqOtf+TgzCkY4Z0bIcjCYDtdBo8Wcv+09YCFmnguql+JUoTiy8e5rxRU+08HbZow7teSQpnMLF2nQa+Iyel4u9KZ8uOtmwwJc7k25sXRqCVtvqRPlq0wTBRYQp+5s4BjkX3Jwoe2vNajMiIpedGenLx2Up2HI7PD9T++iRx+Oe5c/vf5pu3f8/uwfo+jLk9+vx8ePt28ev370Tz88+nTYG/4c36kLXQMPq9HD0sKtFuKSzjwbVMWO//ji6Ll3+vqF9/HTmxcnrGqc2Fn0HQlWrI/TbonTHqzqyGaidKJiWG5pkVo5xSarRnPsKvyyDArnaR8Ytziei5uYheUrHFJqBQ2jsNYCh8tHxVqEGNuPuM9VBVWjvcJaH7wGpMpUkEO3qbddQsEXUDvnD5r5U8auLAWr4zGZ/vA+IhiTM0bt+qHJ7z7lqF7vcS3KDZP6O+8FtvUHxJxYGRqHxFhYl9g0sNCWRg22vAOIqtUhqIIof2RRwDfbaKHG82AQRnz4F+KIdQOybMymWSLxr9xelg/PJB0W1OuDRr2OLeolM2cZWTAhq3qGqBDuwiLZbbezc6jk7e15sI1D0dtZvJ3546s2Fr90tgqAs50Sdt01ARYKhxuqF3X+cDbtLcp3+VLXdenUdRlfmQCT8WAAfktzUDYt2w4N6CmIYAvu+jrsiZ0OW3xTgkYMGSHsKGAQ+JUSIg2SaNc1GpjCYx63+Sn9PJSYJCN6FfChRv2d2d+hpCc4OIurWmSqNsrOcA1O5SeUhVVi7CNxEg5DDIRSLKioMdFCpsXSeSWo5DPaJ0WL+sCiq/eeRHntxrFsauVBGJckwBAE2vRY2QnTiUM8WncJNr4Y6vR1PCZF2a6PMCp507W9j5R9HifZ6EZVQ1K8KzbpA7ThWHiqJ9hA06nHz+psNE9B0R0vL/sxBwFQO4zojmoSCWCi14KfTBTRZBU0GwMBZBWwrnwelhH9XRAyEKHIDdnBQhUAdegH68bAgQTPZQwfelJ0w3qSoC0SxoWUHT7DyJjLpxOTv41DstpMYWYaA0Q0fDTlBQEmYkCu21JxJxoQPOnQANnLpYKbtHfY6ceXRFNe9pfUykvdisssvkxoCwIjCOM+ZVI+NvntpuGUx12ZCHUhpMuHumhG/GMOQ3HDh6/zsbCDiCZ9cgWCco4CGxTrAeZNEuAQB7Tmijjklc0WEPpkBhowctX3TnGlaaMW59co3+wYA/KQAEpbJOAy67OL8zk1mFYszyEa8Q9gT4mam0ubKiD3M76v9TbtY7Zg2wLEvyeFNVxRgk4/DYYcCAJ87ZPc7NqsNQz2W/OJQutRlNzPWoyMLdfG8jqwiXx23T72SOAjscZhZyIdLe2L4OVv9C4k7KdZP5iqfLLfkNZVqYgXuKUtbcnuTtt7BbUNk/gDrCHgIJjNtJaBnvWDAUD6po0LcEVSgKNqI82HWIDcQlAdnMjWqK4xqimBgLkR46m0ABJgeGk2GwxAHpTvCq4c6KBPTMn6t9gkbqdw6gdgCU2X4u4u9qIetjOQohsOY9x5q6mh+rICGQrKLUkxNNUfqINaKhwKwMqGU2aXpcXrYJzd5K04fOPums0kbqaPsN2mhawCqLNvEryCtiPadFNBcuXovAEKtpSabZhswrNhMOPrpTnvnKQBa7aY+xp1l/BO8jn9tx/4CibmfFgYvV4wZVfR4jkk1S2DWeDtavvZ7uE8+j3A3bH9ALsX9CelCeuevMI7TFn60CQywZTsYPgf2n+LJjx6/NuTJx2DsNKOGtFM6LGZWTUGKDa/JEHUvrSN4F/OcS0F2ygjC1birMpHc5GmahemlbfWvitrUWU57TaDxZGK/yM12xOGcUiSVifLly2xYst8Gt9sYNiWPBYo4S606lLA76fqTJ55zJfSFQquVCDudC0UiqRbNI9mkeNXx4+3LAUXVxdKQtLKpUH8MOXgYeUSRrEYEU0pOmHlko4nuwfEuSFahCmtb1Ni8cXKJcsFyE4kE1N06c3KZb+Nk27YJ/4JfxJTbi515TKxQV+6FNAJK5eUDuZgyFYgkOeVyzkLwkQHTVZPq5dx+tJP7KkoebxNKf2wfwyVGWfg3eLc9JXLfRkOshv+xxRpk1YubRpPp+48U88rl/MpCr6QspqZiNVu0sqlvbgJSATweyNTmEmxZZX1jurCzkZ+dpxC7j4FrGMHIp+eb+Rq/PfYrsuj9OWsd2VZQvFNXfuLguOCXdRu/rCr2HB6jHAWO+8szty6hGgLCEvkOpjP2SgrhengfewWqb1YfJYBw4QdIJIAsuGWcjFiBw0FfoWMvUCMU6ArKkhnIUl1obiyDbzUD3WM0FwVEAYZuTD22za32BF3OMIXS6rIzHLkjHFGREwNtT10qTSyUNpFoFdpDcuqJFb1gsQIwc3Jy94WiPppnF+gjTEWAxmNRVhXwjSlVguSFR4y/7b3MqG/pgk6HpooYnpS2CaZ6hgW3fL4hnbBN/EJFI9EzYQRRgWylx4/WMPa3mtRAbe0zIk+ckhCdgIQtZB9UvC5vf5Wh9pKHJ3CJW0RstGh8xi6aUAbtcqiIDt6e+QI208Od7oHnXlwSdoVxwe1VLmMB4Je+enV5SwFssWYr5LBSdcjYijV11KwYm6V5egGrilSiTMyTrH8e4k52LiO09j/qO4AX+yl/4cFuGc2WmVLswALeC5PqJetnqDpgrusSoFbuNmjapgeaB6DD8vFx3mHFvZFQhWIoLux4Z2vbblc5PBWoeOwE9WGivsrdsomNkoxtGtnylaLW6pc9SvNiOeVapSEmC+1SbzXiRYrmATZR31tk9953nJ3cc+iZBf3DFmXGQGFqBsbNaY6bi5ofl5lPjM13cIot1mEmre886JZbNEEuYXdbfPbGdZWM6rdb2ZMs9lWM6KpIa23kvGo5hFstw8LrWBVFrCLe8bydXFvgcXr/kJLl0RrrTNO1c4Bfq4xgCGEMNOjYLGSkyJ/ZYvUkuvsz9ayRUnkLSJLrWWJiZSzHHG8+ltZjFR9i0xCFROy3uSzyNyj6snZcyoKt/aanK1Gfb3YGGNPGC01tlzcc4wsF/dYXr64p4wqtFI08622ltg2N7GG6G2oqblDlf4tzBk0N625QhspdPuaWSFs6xpbGXQFK5kRCvUsMROgChPOr6wZLbID3P9G+H9LR9o2mP/5fRegv9+Qd1Th/puG2yfeeTXi3rT0WkgfhxcrAXpQWslsq19wpJzmSzj67UQ7BxNHCs2YjgG6cbKvo8Fkz+MTc+aZ8WYcXeOUEJgxToyZJ8Z+cVCro/BbnLTqOEgsTixBe5sU8FScR+pUYJ7UuB1+k8cyI6y6joNGRlglWKYKVIx2pdkCDka70uQzgfmiXWnzWQGvi3al5Q7eFu1KBzRoFu1KBxzwK9qVthu8imi2J40u4E2g5p40vAQSmQNS5g8SWq3TEt4jDf+fAubQaliK31R2fSFTqodrFHUaYDH31SUVRfhkEReoxWM27/8lIZb7BWjlPAdzLOrpXaIrsk+ueX5H6ftrn9k5ONjyDivO7BwcHu4+erJra19+Zkfc73v5MzsPHz88LMbcx9bB4AT2oqUHdmwJd3NgZyFAc8HoCE9DADMkuwmo9D/riE2BLIsOS2SHXPYqhyW4LQU/f9r8yrFy1ed3gqmNDvHrDBLdXAlGHlV6veW14+GQ/p1MaQa/Pn375pC5QZvk/Am46sRXIX2kBCw5g9EZKdwnVShEUGhnf2UWOphFxGDb6J6cEsWsoKK/KzhkIMcW5yu0qNgW51QFThWOb/TJUHEhaOQWbzNRfQql6EHSQuBrYuohLo+gfeQ2JYr+R0wU8qfFsTRfVrIuvhHfAmk8Fy0JTTDqxfsFCF0D4HtZ4MsV72JXAHWt0I4Q1cQrVdCruo7LzQ65lhZlS2nFYmnUtoJ/5e+KqPadqCC3EuqhFmH4uCpID8UueK8wA5lX8bbPWxYyBiAA7jAcc1iEAa7Dk6es7GtmqaseHFJqnUhh5jJzE44m7lmcDlCRozgVtGwbe5w1HIgTeoREj+RNWd1co1cBd1VZGC+iZ0mcphzbW75GUeqKxikuTlKyFa/FUjgD1TreCqF+cZOQv9hSXZgcuJQiaekgVLlAblhYaLoiMUa8reOSp0QLSE0+5uXED8dKvlJHhXmQZOEIGKBwHpYn86fkbfVcGZJWGTJ8SDyUPkslyMOIZFXRgeT8OwpFAPrpNAFQpYO34/R3nur5SZlrg1rBDHX0g55/wytYmqQIQpuH9xNDIc+RAfUD/9KaLWg58nGkLlADz8FURKYrLKOqRcu/qs3OFSvqHTAVSEFx1Hl9/PLMI8Vw7h17LxHC/2wURJudo8gfx8MbNEw5h61f7XO525XHkncLngapCSIjk6NYm3cckaTTJwnvRq555U+RSZipSK18fniCMB1dIJ+Y8gq+VjNIbXNFaE5qU2y5sGHt7SAQQ4wIMhP/SziZTbw+LrEL9XmdOyMJy1ayxPQtRAyZyqLRXscFujwIvvgT2lv+5pjLXhI1Joj5wF/QkOrrVTO+Eqvdbtu87P5mpjcvfqzCXDAN4ZHzMGUFFJch4VwlTXx6Z6tR4Tasrhjpyz3TkHRyvxgm+TaEksPgbEJQ2/nHF//8dPzxxfMCXRg7NGYJ+UBCzQA4GndnE4G9DETNC9A5yGkuV/Ug7xBBsDi5HPFcLzVKVYbJDLZH1Ggu6kC8KU4mhLnZTk2YG25tvuJ370+L32iwUkUNUtqcUL0uol0t1d/6Cave0EFT2jS11p4yRF5owt+Fk7OVIAA9nBkBxh7aG3uzOL71TMCTChE6ox0NwmGcRFsc0UcILFMvJnWB6Edri9gBAtoUsM5KSnnbmD3BFwVgqPlaeXzdgx0A96j4Ed8KwghFCOU4w92DoeFsqLOLE8rYH1/SXqjiwkCyG5cAXeZLiFSCmE5q04MoAaTD3q05kC0MTXJ3wggAVm47NCncetkT44InspOt9J397LbjVbiy2Gg61yosuENRlxu6OgCLBZhPcimxZWFgWvZJ2UHMG8jnxAwH/nWcwHCH7jiZQVkTtv8WHaOJMoK8QBw7oH3HMYGVOsYIf7ZF2wmuBoYtYRJPR3E37LEGxROWL0T1u6Rk4U5xVwNypmfxAL0b1Ixmya37oibWwCd2HfpJ+LuIQbg7x1IfnxRlniL2A91HST4x0BQsPE7k9liNpEFZRWumlOok2CKLBK8hw8oucx9VKDxWhIu3atmKSiUs6R1LqhYdm41unsyQFCg0jHJml7jGEJADUf+SBojYKqX5NzBKBNDBfEVqiG/AbxVEI/qDH4XgfX0WmH60xGrSZmkeK0rEIV3hWqetXB4aNwl8l8nYpJVLm45u0rCX5nidk7Z6eUEyoL38TRxPnQKdRFsiz90GRSZKxM610U1cuZGTAK4ukA3zTL6QvnK5Jwjx6I9fuWU6aat3/QTmznxxOmXlxjlwU67ThfSVyx2Fw9FvMzYI5cotpK9cbsT3veeKtEmrk7IbkODUJwaQKzGXunITX/Rn4sZRGPNC+uqNfRvSRAzGT/2bXLn55NWLpa9efMkS3xSoE1YvihhuN4yCfo6abuLKxDzzAX/k+muTqkvj30scFo0bogCr2wKzQmpxuLo1icGgCxWNsUaabALH/wV8PF9WNXtbGm0kM4jCM2jtA1ijYQFYFI/+A+28bC3va7AIgI73D4+D9zDAGfgITIorHXUAhRXIfgs/0Y/Akb1dZVylUT+lvgH0j9hDYUzyHLvcFmwr4jF6S7QeNFkHmW+1mquoC9F4Hd95WIuw61zNUHNzc321eZXB7UWGx3rIXMJCVSDhKvLUYhi70qkiZ3HmPyhlt229UMqAdat1O4y6I7Dmn4g/w/fg/++wsx4FJN4aUgYhW63zO0CFzSoowM4ct5z9cHCN6GpAr/NpQ7CWpnQlPttaE5ZtedSGOgBWmrrvNLURiErttbjpxb3leOnFvU2M2R8Ej6JPB9ynxXgn8e5vCXGauteGNYnWFUgmzcr3p/SqDobjSK+HaEs9AtlqrQg6otyHKLf1R4CHVM1fASWEBqJhQLTXeQY9HoEeNSgddaIhMIe4jeLYK78qADi81MAbKn+s2NQiJA3XNf9R4Bna88TZwOvRMJzMcPCtRUKJIGIifNzuPmt7YKcobbRaeXBKSTIN0KBFtd8RKsVOp1KYwZAkxUGBJMEFclSKg7qwX2OngKWokgpgiKQ6sIX+1oIR8lwEFCS1CAdIqtXcdWl5fVzSCnqzzppXe3XqK6W76ueeq5FKkqNS8r3byrko59Rmg1IjKDt4MisZ6zq5WXcmx8HtcG9/7+DgkW3JUgc35TLlOrjtHzzcefhw51HBwQ3dburhlivibjzcbqueYqRW1UVFJ+elVeEit7vz13SSu6XebzahCe71gGOv0vHA3mnYibfipJ/3mtYiW2UkSqIv0fUpa7TdJ74lgHsOByg7Dr1VuxZSLDYvVWyrq2y4HPsSB3WwO/GlLHhnIJ2FjJGLc/xZh9H4egQ/fjlfRJRIWOZk0IT+j95e7uqLJElxgQwU9rYnOLPDzbHAUNlQ8zKGpKHUUYdAQsMHZ+YKGlKaccsBGicXhGzJR46NpFw6zvLQjjT3h4hcDEFmccZpmPg98T4ov38DJiDLBQKZE/AoncZ8o4Agc+Uv30GVuw582jlSr0PDx0eLFmRWzM4cFUupwh7wgqh4KcyCAtAPfYZOBZ2XOw1APg4mT5ICS0wJ5RDRd3FRP+EkT+Yn4AmRP1Si4OL86lhPKYMxRvHDEmhqmZvqaGffzdbETXWVRXq/YnFiSe62Pb3+Wq38mmu1csvsvLgIaqSQWy62TdZec2vn/sprRl/zVFgh+tIlWQ+sn1TOfjvz9aVDFfOcxe7ms1rf1bPyHNZX9VTPWDkfYyco7w5Ft2UeCgf4bBih/N2T32eHP/3H4e7Jbw+7X/rXL04eB0/enTy5fLo/urz61/uX03/91s/O/vHzs6M7jVDOe4Uc/6i7I2gLpyTwKGAaaWJ8sDMEMJcWw/hHCPnuD0A8PuJHSnHkHXpEGBILmPqspKH6JftIJUa5LzSWPlTinq7RBJqEn14B5yIpf4wz1yTSxtyDCjOIxB9/RitpFuEAzkdjjc9HJi9vq4aa+GG3Tp61Sr0y+iJDBkSCPANocz2OI4RtHv8qM0tTp6zhUJ22aUBZXuRCQu6iPQvq0A4gDikkUMA1m0AVDYoHelf2RuAKit4IqCWISA7HGbZ+blCW9RpL0XCdGIetGIpJAkwvXrNC0qaFCa9a4RuLtxguhvnG3M3Rq+0pKn7NvIb4mXyCw9LWa61Hcxgln/+LmBDO3v/y64OOKlwi8OkcnrdCQ9G5JCbFC9QRFRMEM6x2haI0G8ZdE5hsBX6sLRQKztTH9PVmRvnyvNp70A0zmElIw7whRUd2GBX1tlGD8GPJdGSYAIAEEQGnvvUNyWrrUxO/KDYCLtL5hUAyYaUVjs+WAm/YfAE9hi/sATqNK8R4euhb5LgUZ4UfoWJWhUGCCLYP2ZBIySLNc8xoC82ZTgzunFwHN2r2NCdPfjvb8k5gFPJe4RT4GMfCQHCPhoW6+hmrxzp9kaATwkhiU9SiWmFwPggAGdmDi1vefBQwbBhG3meaiZiIrBHyXXgBhCDfWsVwv141nqWnGONa2QjabwkZh6SC85Y0nDKeYi9RVz4S3w2u/Qh1ooWwujiA1zIXsaJvVPkESPVkNPIaz0pQ+IuejTirzVumxJMhVVnfI4g9WVYWJFCx/kmcB8ZA7ezkX/mzI7ds2cD/TdpljXvqODkujkRrBP2Vbxzz1aKTLPywRGzPxRMiYRRwDQ2GFav+Emb6I9tbJskDfzyhiQ7cUsVjca6EHSIUjLethFB+2vK6OKStH3rOb76S1QTzaTRoKYy0ajOX33YAVHxnbrWeD/zAthxMNRPo5jrQQ6lNUXyRJ+6VDeayhomFhD2ee2J4pj6RKJ1vJUA7dMW6n+DJtijXoCZT4hZOBlzld95TEJn4CQIeZPF0y5MD/EJw3pWjNObu+EnPhz1VVBKIm0Cw2nA4INbMt6XSUA6Zb1W5J6wrQau7khpKztXW/oUKYp0ULVD7QgEZU2ajIA0rNVZdW9VQtG21uKxdV45ku0BB+lzUB2Z5m4skUgkCVG8qKIqkXFhO8FQNbCBV2pxKZNSq/Z3Kg/9ZKQT+Jwl+Tv21Up3K9weJbKq285xUZQCFnDS1aJDKghoCMCEyQ2MRi2baraUqS9eVRKaLe1pUurinRSRV1P90+QfdYCawcb6GeLJouCtEIRUmB+EBV5Y7mlVDcs03D36w+3B/y9vd3SuHP3h0cLD3eP+xrX+pdUghlY51aPfJzs7h472dw6J1SHrJO+JS+xAXcvBQFXI39qE/TC46Fzln8YDL+02JiHGXso4WaJbYp25hnSIauYi0nTaK6n+ecYp5mGJIoFlVJEfvASzJubiH1Grg5Bg88S6TMIh6NEvxG5nsxD5T9o4qciLaTwSGRS7x4pn4vSRWPI+jnDkuUQvE3n8oOaUXx2Pcvu5qeDrj6EB332rqR1RpP3dh6VQF65rOot6ImAhmFyewFFoZfEEKbib11tsv9ve/7K9uv/ifOI4YlPKgyRaxsdFqqYG5v3RAWi1eMAW8/ikJElcfgpjW+OkcDoOJo080xO7jk4NudPX5+Ok/Jkdvrj9f3Ww/nh7tvnn+Zu/li0n3S7D9Onz88B9H0+vD4Z1i90sw6KV6Y7nv1oS0vzulYe5w9EX4shAdwZEUP5vQ5p9mCG0qrTlBNi1GnuhsPM0L7vz8qwYvWrvhe1+CUbbfgWs1zQOa5dx07X10mXTx7ZS/zdS3OSyQ5WPtq4S6Ppx6KmMR17hdh9KGPdo4C47ZkZJ2r4+0JKWVZ3Cgpd0rYLcccbU9jafwh1ACdwl+qW5m1R1F+OFYLvKRIplwnlCOFiP4xwjumGFMmmMM93UmGS+LLei1eXaJ8L3Y9READmtZ0ZSD6Mbda5TC2onPxwC6QTliie1MrtFMOq9HPAY+gHAA9j3SVuH9SDoQWg4PVh0klSh3HSQ3cDQF/4HjMb6CjAltgnTwHnujjxDN+pd45l3hwAGbZdNRyG2TcwLEpfId7MJBtIdAuiw99HpwV1bk4vJBQyabiPTsy21yzEcxsgtjhMAbsC+VeGxzimhoTF4JKCvc7nN8FeQQ2Rxxzqy3CIoBm2ZycanCaMFUhRcPvGN2qAbLZ3Fp6BNvJc0HzVKOwfL5wIcETiS5CjlUH9FuHnly0xvqQkWkPUe+8vEWvQAx2RrcnSSGNnuxb2PDm+uErcU6Nd16PkbDN5MY+x5nhHMqxy3HAM+6GF94vOEqa5ZgjX8qO0fbCe/OdjVscCtH4Dt3ocg4cSPgpFn6qvKjVfB1gBW02d9gEESPVEb7EL6t+cMCmkciKOHUT3wOTpubf9k8CNTOvGAqtr3n8ZcvqrZ05CMSZbUcUfQfRS7aujEoLAas1EdeMhPVoeksmaK1vN/YcaP16xwiUPN8RhO5zJ148Sg3WnqZJ75geeh6bnkjj0CGIc4vaCUea1BqkU5iUGPjRssrVp3yGPuzIetA6JgESYDaz71XIVXow4pcvuykKk9+emGo0Fp71ABgJzqHyJNBEmFZ52xboFE8TZhImOGGhPSb6CJcKdqex0neUc+xCzkGIS36iZjKlAZC4qzyZaNrxEHwYfqWlhmarmA56SH1gdOuec8rnn6w51n8BA7RiaCY2SiJiZYe7eBO9znIuZrd4PjOARLNM3gPcSM5CqNoy+ETOXuisCgfCm2oSE58NIOXCeJHgrL6zE5zWpzeTDl2uFKhgaAQ5zS66fgmAewzIvEdsvksMr/ntDcF21cRaB/CTQdUI3FmOxgMcIILu4Rd/yUCNm/hO32CQmT2LQ/KBSiHQPO88FPGo2jrPJ111WGMIiPKSf1oabkQzZdkPUWekorantIFhKHjDEk3pmFixsWah1s4GuKXC2do3l3bcLiCxAJA+EswmWb6/F8o4CUxPcGA3wqSzvKOapEoLAPseBxo1fmqOVXVzkUSt7PMusls5Ky02L1adeBP8q/02RjqZOT3+ExYxodyVJBohyXxboSpzycxmZ0Q05PzCikzE14+7Jbr41zeNtb/KpPkQ9jDjgEyjW/a3s+ki8k480TuBnzwCblXkfS5lJpLkBu17PkKKrzWZ0C/tscRPIVEgLTcl5jZlo2KeIj9yC0ZyzXjo4CYZ24tjOtLbqzSW3cGNhzh58Bn3cs9sAQSRskLIquNDCy7BJ+7Ad/DHQtdbA+YIfHiW4JmCSwlIR828BM+UScDxC88+8YZLL2/Ul3u9ipR5EWnib0MpzEOzXk2oIVxjKNXlpNPZHHg9xYkbzW7RUylvpTkj4xWdpxQY5YZ9gtkVu3FAdWMJWbqWdAf0iymXfEBTs1hWM1xtsg7+XgCZYGqx3jQ8LI0hrsasNqI3JmSZ7YQHVZ/LPhon7aTLoeVHkN3GZACBrCS9aI5jtO5RMMnV0Yl0WgMGlvYln2Z55O4LwGA8LkTmnoFYjzTe0g3IPGRlSoWEiw3OoICxvuRkgsdRqWbNQmSHiAEqHxwjcU1BwIbTeLeVQ69W9ognLOVVchMW45Gzbp218xNXuIppLzI5oKsxkqdS7XTldluoYBwMqQxHWbxKBiPsb2OcIxLlVP10imueDKOldACfGaEqBVYLoQ2awl2RWMlS3AlvKygiMj5IO+BXNdiNmZMFwwpWmUOPGuxATclyUS6IZ0g4BtOEmqw8C51GkjzRVNx3VAWPWiWRhc6eX309gXphSfehzefXnERS/GBs0B2PGX+ACNQO7csKmETvEkyU46nRugQtR3GcOyjUHH1p9T/vr6gwZtjReNboBYgQE7No3LEIuwmDgRsmlWcpgA+pKqRTfDp2EWGZKL9f4VUO8PKVFhO1k/vXh4df5RbuLxf3n/yzo7fvPFeH/38wjt97705pv+eHZ++Xkrvsm5+FInJXJgEaMR6hWUJw8AVZEIWw4rrwZw7hDBhGBBWEmnnmLiKX6w1tV4mIWn9slTr+jgr9TFXoMsnzsAEZZD0pUyGTVS847qES9hqSx1bUmcYAR8STjYoVlr10tZ6+0pJp1pQY+nNXVTnQLh8DFBXVki/k6qmWS9MeuPgc5DYXuVSbTV1w9Zx580y24/xY3LEX8c68ZdwgRPYVWlpS+BgS5dm/b+Fx1c1pQrmaQ/eKdW2isWW5HLJq1tJ2KnB27O+Mah7kZXhdk25hd1DWrVPrWpiVZBm3dZ6odw64MtzB3YFvg5uZXuCHPiWifsn2Qv4/rM/004ACpwFuFPqWxsD7tcZAdAMdSx/g8UOnoq7QJf/t2D4esn/z0XoNXv48/B3LBe8uxvcvQUhtIVcNsnPWrdD1HHA85ZI+sU9+AkuQs6Z6geOm8Q3xMXv/yl4OPfwkMjzJ6HdXL+cNf1fgmXf/2YYNtPqkeHLQKgv7gGZphkc4z7KgT+Rn38AAs2NeUzzugm+vOT+U0dmEWRZXAW9J+jrcneiPwkclm1yR7exKeZ7fwWs97yI3eZoWIH4brqQrgg4jaDc++lkdP820K0QYddU+1dBZu/fDpG97yKx0jcSG54tAFov7pUAVmczWQqsSvm0qS/HTTsFUBQrGCBCBcC5IqwpjTiQDfKviVo6AippLDnYUdSIvziseF5ECK36VgMuKi3NdLwhMCgU2eXryKWXPFXRdhZ+Lu4NA+wSt4b3co1SSJ2KlCpXf5bANJ5j/LIK9DIvS/iUeePoyzrWlKS72I/nOFrnzhHc65NkSAPE5xcn4ZfMn3KQ4eYHCxSQUzxXgLBHuztPyucK9nd3Dvef2ObkjhXwju3R/gBlDFLdZDrm9U6EQ7Oc8wbGs9g5b3Cwu/do//HuzkHhvEGF3s/YzNKzB1zgwaEqkFni2mcPRK9XotYSHEFQNJ5pd+O7j8F33bHt2Khmr++8X6CL7CM2XfmFP+zOcg3BaC/zC+e2FPyiae0iDlfMEdW+3R2M+1Wgq6mbz+tIbuaDnOgh0YKu/EvKwRrlUheedw7b1IeZsL6303Dvt/47xIKzDbLIvwoLiAinslVI7VxdwT7gtCN/7rriHAEgIkhefBavWLiH+2SratAHB9xy36MEc0e53obUvbZ7O7uH2zsH2zu7XFuxooWF0q5G+S9m9P0T2nxoh5etiLdQIFhKWJAdDIJT2+NdvDeKwx5Hq8aupHyeqmrIDQvz2diJXLS/u/c528UMuFRTQMbmyLn1m8/UFQm/wskKgxlbegg/WIyqazb27WF1zA+E2vZxdEIgiJzHCg9kzqrarNOrQ+rldY6MGxsb54W1yBeg59csyxGUs9VasIxaLaNVLFiTqoiNDa/VWr5oRBjg7OusC1PIna0DXeJ5aQYz2ZbN/rs7qFgpT9j9wJEkdvf3Hu/u23qXHFA0W44rMOzt7+zsHD55WBAY7CxpKCfkyrkbOaFqhUHd1yvrzmWDv+y5vtfBzXfeR5oQrIcgOb/tuGx6HPjDWRAPSBqG8N2ZdwwVnFBSJ0Zxs3GzLJN24t6o5QhdgQS13PUVTbhZvRC0lwy+fFlVCMoTo9U6L/SFl+syKmy2WsWuVQlXhWJKItbSE2efX4ZPDq72nvepVz8/7/3+8yh5e3o5fv/i0eXp08/bn44eBvGjFz893P6Pf/6RJ87szX9FwQsdaIdZZ3+vOztUNyGfq4AH6a/euyMnFOaLT96bZyfeyYu3x9svj98dvTnxnvs33p73Nhj6fM5dwpPaieXcOFhtfa9oa8nnpoQQFgfbsum9XjpMdUAGCfCMGPYBzcVO77cnv2efuxsfXxw9P3736uPR8bun789KPX5DuiZUFOBQQK2cc/QCg5385F2n3qf4jfV4BO55lXae+lH1BWVNur1ghW8QV5SKvuw9+vt18DQIojM/oQ5Jy095p7OXcMjFIIzYELebBU5w8xefzjxadyQpFdpY5VVTavKiY2nFCcXxIdqR3y6MEo9dEHVwyUtvOx5sy/vOBn9Ay8tO5iL5jJz6EE9Hb49U3D9+1C9pw+5dwVmJY7AVGkmS46L22gWwmz1UjXgRBZMb78X2idDyaHJUaJZTXoVjW1U1XZq945vOrn9ynO79h5Kdp0k49nb3vEcf3novTk5ZTnk2CoNBVZ3V9Sxe2YVlUxlrhm+VKQyUWe/EQRFE4wci+L/t7byMkwn956OEM3EUsxm3xQkJoVGyMB2xmYklBzeibm8U9IkpY3lR2SIxq2IKfS7yDzUVi2O9hPZLGYjsOD8ivAl2nR8gkpl9c+Kel5WaihXQDLqj8ssjLYfsqvbv/PG7Ik2QVr0rFFs/jOP2cNz55WjwuP9EmiWjmSE+i9p3B7Q3W6ecSiliJW6xcSM1kST/aPfAluQ9U7ZNE6/ICUzxJn4js6V6LSwvPJ9rBK3x4p5YdCjhBbsjMOeHNX6Y+NNR2FMS1DEsfmIzoiHk+4PEzGWL/5ZtO4JLCuJN8fUxxN33dg9hdk1Iv4CPhzJOMcYLY6XaHcQpoa7RjdqsojJymx8vanPFxJ932KtCOVVIIWdI8VSSUxZRHcYMmmjqAo1m5GzUtBI5SY1ktBu2RLYei4kdm6PeN0Noj7juCPIfvBuYwqTBJmEatNXylS/guTZLJaSQtHp90up1MIvcBcD0xfC/UbvqWnV80M4nzNNhEd/y1D4hBvapsufeUTVp3PVSkvXDdUs8yYgxTaiNs4gDKGlh7Zootl7JTyWuNZeYkiCYggwfP6xXaD5XcS4+P3qx5Z0ev9nyPpwciWVSynkXR1o58OBpEN1M3BMLWNUoYk1avkUI8y1xQ+NBf4egaMrFZL2iX1VEsb1FMUvI5zimjXySw9EHiO1xyC4t77CwxeCMGT1LiGviuigDRUmeF+OYGKfohp7fpzoyWudi8orhIiNh3NTQHOmwSeoCQPr1MYzd07yn8Qm+e/HpjZJw1mcJWkm5q5H/8PSF150h9BPLuesV9snwKR4J0ojXLfFIxgdUPMV9SiezKV96aJjVesUrN671CsnlqtwA8zjEBkDYS8TGA/xB8/ZSGebb+081rn0pQMUlCdGXcBMM9qTyE/pqwVTi30UJUJJV0IZABeXnnMslxzIJKjvnxMiF7mLlwzPqpneMt9UNXqmWRDdeanoWm6iX+gWuLAvmxL5ezcK+Dn+0fs0ISvfy6J/K1GHrpTSq8YjhANmSt5Q3tni8vQkHzkm1JrU31VTkWq3/y97bcLdtI/vDX4WNz57UWr/Er4l7T0+v49iJm9hxLadpau/Nn5YoibEkKpQUxzk997M/85sBCIBvImW57d1ns5tGBMHBABgM5g0D4jSjvk4STw/eWR9DQPVJQh57Xda4wA7DihecFxgfXAXh/GK8e6fMDi+pUV6Uxyws/ZS+/wbROV4n/Bpkkt7kGRvmw+dk7O8dK1WaR0ExiMU32I/6a1+/Ee9dGwYTIfq1UW+klmUw8Y76fljFqlKzXdXR65u7V5+OpLVDzp/X8vtEDv5cTc6keMXHE8alCU2x92SRVyOtdJ+qkXgYt6TV4/ODH7ylTK25mtamns/taV+5lt/qox4n0wFiY0Wgnwt6e1LaL8UltRom3rATXBkwqzFOdTwmKUbtf3mNJ13rfPmkTnqTkKA2FOiJgxEsmFqen9lmXhuYuXBMa2E64i5q8rdVoHejNljPXPB1HzZvtlv+nQIPg/M5jRc1cdDzh92g2Nic34pZE28nCE8/eft8fyzXcVluDwcfmrwX0WRfbbv6ybS2kqlO3C+ivahDmxDJjb3kw1R5GYjmILQOPfNTWfX92wA8duhP9fpMFZZ9/MK/Hb70reZ0QdlHpHPRtmYw5MeyD3qq8zTsUPoUWea8KAPyxSfZuh/Fd8g2mkBwSs3n/HUVmYijUo7iAOZWWRpKMHLCVdIfoyz/lGmalIEWTEgldnBUWUWddb06x/QrAm1bys1BL0p21Zf8SjdpiDddh3uS2grMKsl3QyyoA3yHs4U+n0PIw5lf/IWI9qf9qYXnG37MoonyvxDLoT+eji00T+U5iye/+AsR/TwNh0ML0V/kOYsov/gLER0Hn6b+MLRQbeqSLLLq1V+JLrE5ePoMtqogB1l+81fiektM2UZVnnMwxYu/EFHSxIftfmCheqFLssiqV38lumxCt7FVBTnI8pvquLpn39PbnRQXimuzBHlB8A0OFrgoJICWSAAYBB/HQT9oKY9ik3/DEWrv63nNz/C5CbgXvp0GgH/Z0sGMYBYecIRjvGHYMLs/9+O2xCEVxyT+aSf9DVpvpNOIbuNTO6OAcOdDMLgf4WTan4SIcyHxl9QOnJh67k+ob95+TMKi9z1k4mVYFeX8hgrV5uAcnDr2wIZQoNUI2Di6ked3cepv4k1Hk8jbk+T/1expNF+CfGq+suVm9tC5dtDGZZniDMHhnOl4LOfAxRorERrZceGYwEDc+SuJzOe9EAhYZiveS1p73kkw8Y3xqAat1A/jfHRB+ow4ntanCMB7TWjwmT8c9+KxZC8EnFDNYRRxNFIqZA63vVzmhOtUCdVJ4jy13iUhQMscsImMCHMFxTx2gmFKUhOk1uu9gng4JHULN99czhUP86/vEWbz2I6uWVaX0CejNHdcSxIvu7SEcAc+sAKq+d//vczGmeRMCsJSlv/3f/VnlzOiRhIIbsQJY8HLqHH5P99Xi9bIRGosF53arBdcUhZYIuRHAy+REUUNZuknL8ZiOQtnxrZRBIbnMBX+kIwokpdUi5hI0HBiLszcXLKDYZvo8W55ZiRE/leXhYEK9J59Z15JpIOctc2BWhhJYEGtH6OQ7vkzgjak1pwYgYIATzuyYBlOolT0QAHoPJe91YcFBAYUdKqiQz//4+qe+hnf2y74/KrNMt96/idFTvP82pd5fm1rCnL94SyeKKdnPthyP3b+N8ZBnf/+ssDP+9j179rI/9ne6AJqy/EV51dMO4Hza+V6d/Orznbb5n+n/bH5by/Z+1nAChbhY5VtOvEoGiyKHJsFuJi7suTzg4reygJwie8zF2QVR2Q+YO3atMDO8iRW34ttL6UleDQuc92Gjx13YXqLFK+jEsc0HNvdl/5A3IKpDxInXVK7wKeX+s51t6WbEsec/cll1ktWPP4ZR5s1GQV+r5pzEMYtC2a+sysjcrJ7zPosx2dlxKlyp5eBknZiXZa5p7Iowa1loZTrdHLGxnZUWR+WuZMyrSpHlE3Btg+pwcfO2Te0gl8pZw+XsR+Hf9m+GS7QPhepx94U/pn2jnCh4/DgI/SsU7guDI1nw7tsNA560WN4A6wDfXMaoJRXwmNvBMPkXSdpiW3592+GfQde4jOwW4AZ/v4NwObvaVu/DZ6t5/eHz9Z6L7HS2y2w2fv+LbCZ3UvM63YLylZ9/zaUhdyzLONOO2xmXkAzDAetKIu20wgsxAtoA2DQhFii7RaUWff+bShjsmcZkZ12WEtZQDMMB60o4y8zpUu2rlbeE5YvbfMqyVW2/XX5EsZSw9jL9eQHPv56+fTJire7k02msbu79/Tprml7xhHY5MChdQR2c3dre3Nza/tZ6ghsegNlk93Mg7AutMUchH3DmPzd7LogOMiF7jD9uVZZMb0XHQHe/Tc5AyzJKvjIK+wlckuze3pVp9hSKdyQFM7cK6y/QwknVtF3kkecXxCn8GmiSTGS5E1i5mCtUi5jTq6iDCQ9orLbKDhiGncTauRE28De5W1w3ZQvyvEN5MdTcJVXMOKi4RYtTTGLqxu/tSqpLUqs4Fome/6V75Tj96Rgu8junzbfH543vbfn3uFv+ydn+oYzUyNpimb2OvrKGbLGgdyuTktGvVW0OUZSNUaQRtXMUibfYQnGiWtOHmenSefxliCleuPNJjCkl2QLv9/+gjQJ+tb4Lu4VD1uaYGBba4XEuLHSuWPjcDJVjoB+NNQ3pN2/J1tz9CSB94s2NSBXBNBmf4Dmd8hZGjMd+cMxier1CEeuJSfONIr6ffrnLiDJL2KDUxCCU67Tr7wQ9Qzs+QZGjozVGxhMMXV9XU+yk3RWZ0RzLoPldQ+uPSI1PvZu/RiJ3KQ39+/Dzhx9SOBhDiJ/RItQGdFoy0NaTTxNkNAE99MH6+2gg62Dc+dSZ0mwIi5xVzYf2XbiXgBTKVKhRsjR6iNx8QPO7e4c48IGRZlW2pL9PuzC2I77TJLgRoQ9SVd90uCIrWOWFzWNT+dEN6LtOJwI1yBxoBtFcLyQSk+cZ7ze8b9E8XidtsUQWTFbwXrij70/ynJ2ox7Kb0kkIDa4Toul7w8GkODutF0ZO+9Y3Fni/OEttwRbfpjhS56RRONzbyO0q1VJorG0JCk0/o7yBEYe6QNFYhBj2qpXd/eXr4i8Go2c3bzReJANnBvV6Q9lB9b4L3hbzba0pVuqudslA1VzJ8tisG33dSH7S7aNHd3G/dh+AmMGS88isGsjUJfRZsE9dfozByPMgnymQc7BqFidSSXB2R/fiA/BClqpmP7ma7Q7Xt246K1+erLZP/Df/3q2eRLf/fph9elNp3V8Ov28t/Hp8+8vXh1cHC80/Y2kAsGvdJhYxibij2/kOdfVn2SpkGC7f+w8bwacqPIfOy+kOe/Sax6eH7991/T+JcKuiS2bnZFETt5dgNNMaVXCux/0OUv7D6ljrpNwgGOuCWyJgVolJRce9qk+ZOEe5cvZ9j6oFG3IH8+sRbE4j/XnFb6Wg3V1ZGIO+mPnFBeqgHJIy24HsncZyLzLXet9N2/wlZvk9sPBh+m19OVAx0l0QoQ5UeO4w8L0ULZOtSPz7/QwqoFMUkmmczvu4Ol78cfCIc13ZIARLUttfq9r52fI4OYxcMyvmfX7xfuQuNo4BR62EFMcqkzAskFxDl5ejV8l5zpSoHZgOMHyN5caoDniSdZ25WG/uhrie+HhyqlME4WdnAYz3S6y84JRcfPRLZUp+Dk7Hd+zEgcjoK92H2Q+BhprXu5hIzWtk5N359vq7iUeZKYcDKH+N5lVM6n8q0TqThIV+wgkUBFnsnmaIaq/fZZ0Y/PN06cbzxfdDc1lsHo4im8UDFcDvvlEWciAndl4yjB80To7e6MOrC0MQ7Vn8+al9jUQMrGiNvbMDidZr3Y7ib2f+6kdvaxf4eDg4ETxhYX1yxl5EIcQhIgOK6ZHfjy4487r6Arub9+foKOlaL94uf3L5smC0TZCXCJExVEnYDIBtrIEfGZlRdebqH5jVWQk1ZL+vNz9/dpXh1kX1p+myDboyIBWIA01SzcrHEsF8YbHHiLOFEEq6pISFadRhu1BsPnm4sOCsT0h1EDScCuLrgPHSiIoic0cm2YErYa2wJD4P/Qv69ZWpUmB/r+EsI4zax0GLag5JIjJ5Q5sLg8GYAMBgVFio2LhZg4xq1IWfCWSDQMS/yAiKlt82QD5Oy9/uVCH7RY2QAdKaMA+EQas0EEqRX9JipWLF+RSlJxrXUqQ/fDraffdkwUjq2+f4CsfjPaG23KI9yKUmNZRG6SIezz8AXMBqJP2wsInxC76fFFPW6K6SGOEuI5LA8o69XU4Gv2uZDfWfCFzQ+HFLb9Jf1a8WyNrcczyaMRbcC/ojywxKNPb9A2ahZIQp16+8LssIhC1yqlXN/dzWrpyIRZ0sHty9PsntWUiFgMC8r9Mzxxc+CHdimqHT1u+47vD8GxESxeoKZeJnPis8pHmEHaHmA4zxyzMjOVj4jDD1Uk0Qli2CGcwZcjIFuUlzx3Co7CPgBE0MMZ1YkqPyhvOZMbSIzdN+VMTJWt9aaoUGWJC0oYZSQGahtXuFsJqqyRbavyqwYvjQnixIuOmhIxWg3c9LYR3rY5Z5h3izgc2LEZuqJB7TnB4yxwGtzORUyT8+efnv5wrLvlu2OEZNp/yL57L2STClPSCBU+xvJAA5bOEjktDrvkiPnpI5JKfEBtGimcRE8lorMeARyASzVWwzntjelCPzLnaMd8xaSsf/kAiOTue8te7CNuzkeCUlBhcaCdoBSFudmn7Yf9unQSCSa9/95N3wDeQQWzEAs4bDDVb4+nu/jeVnVajgrs9x3yGwbQkyUZq9VrfsKnOm4C5wCQmfB/Xf9FADL7z9HmUFW8p+bU+xtOaBw4WSl6GFhI6ENRLviILgtm/vtefiv6pa9TCVO4VwN5vZAS5j2vAggpay2NHE1z4poFOYMuRt/wYW797JHsRM6WB7wcdNZkIV2OYk96MmmIkytRdt5vACSdpnsEg/r8Al3ZOC3hRQBunu09fjH+VakR83ktoWem1PLE7XrOB13Gv2bowDfA8pFNc2A04/a7ftdzjUjCXQGpJltoR7Ce+ivYtQaZam6a3L/Z7b250aptEHm3yTYUlzdyzz6b94432aPRJqnHcByFRNth14Z9Ek/1nSn/g2+FC3DNA//n48WNJMwvr3/uv7ee3SnZCKHRJm3VB35x+610r0EIXBSmRHqRjm+3h50hN3As5KsHiLf56HBYN9bYXjhY5mz8H+6MPKmnt204HpjHT6H5iOS9p8Z79z12sk3AUdQZ3E5JadaLfi3CEfXRw511waQlG1Ro2Y3A93Hh7c6tWbNDvrL6FvjhRyQDy20ixZs2N5UlvGrP3Jd6+DmFptbyENBCfp8FkEvxUtqWPvo7bzxRXveB75LxRENyk04VV3SG52s8RCS7T5KBZSes///7l+Yka2kRi8Y7PD8rbz4r3S+vnh82PzfOPBxFJkd31U+zHCJEnjXlEJH9tpxUQuAKqALGLX4bng3fpT/iXkkf59wwPcnLGGPuVdG5tTUXP/Q0Orjv9ryxFMqMOYKNrsQZOUi/busQm7sH+SGO/iksE5bRyXqRGtfGb4zQ3MRvvIMbBqJRXS9zvfPz30nEeFcftJvJ8sY8qxz9lziks8ZngrIfpEjG/8CstO44k9ZW5zqeyrwhHd1wfUaOx5nkKoDkU6zh7TCy0kLy4h+TkqVw8zoOV68Lhywz/45mBZ+ZS7GWgYvqbHlRxzjBJbFrXP/oL9aqUoyCOFUZha83ov5U9IuXQxSnC0LfXdATCg3szynEShwbjtJPq8fyeiPImxRnBTe6uWaEgD+NFKMdFHAmMy9M1734egPKWxAnALT1bw4m0Oa33j/9cq315p8Rwz53aS+5bnc/iXt6QGN25IdxY/aeYyy/ThvA0UmI0X4ZV/HHGGu5sDZ5t0jZ73hIyliizcRq4GKy5xwAgJmc+Fir1G41FWJZdLIusxqhwmdh6E0xLDcTLSGRhm3TNOZ0yWzB/Zltuk89KTb74LOdYZKlZF984dtjks1IDLj7T5tf0pImJlidNjypuu5/HznqZZyxN2svIX5mqrnDiVbGU2j2taAC9zJo202MihtDl7xx0FmfC/H+5dsv/5xL2LDvk1RCWwz9EQL4a/rC6uvoH/kNTvZ/Y59IdEyve8h9cRSxs6SpihwPFOLYvqZarh1tGM4Kctmal4YvlS4hf2Z3SVcQ4RbDSlqN0RbEyARZsPOm3YgMiMIo8Ck6yiz0HQGx7imtLSX8jVhgCbVtDLEtIur4YUBjRlIWiZFwd+wZG1rY6pFsQ84S7jEtMBpe2MSANS4wGLqyU0g8CUsMKdT4NQRR/hgBtaLb2jqFJAxElnd5YR74e4hTkxubOivd0K3sM8tnm3s7u0w3TunMOkrX+feSYSARCIGqfi9Qx5Pa5yCcbm1tbG1s7qXORhl+z2jv7RKQDZzEnIh1meg87gFhAFnl+EJq5HYxv5kn16S85QJgNh13q7a7GduZQ28ZVMWz1xXFz/82bt+8PX3jNd89PjpvN47enclDODUPNnqF416T1SZsmtBBIB+tUMCIFYRK2xBycDec4pDkg0cXvE+m0VQ6bgqpHRIBTEhpVYqOCWglAyG+jcKgMBH7/jphjwTenJOgdDrt9ZEfzSTdrFSNx7t8qeXzF+0JUFbFs4pO6H9EkabN39rszPtMb4bAr6WdRy2+RqqRi8ws+2Sdxv+WPxuWj8rwfdVle/56UGBqafoCUG6wJrStDSSsa3YlbMvs5TppPICMc0Tq7jqKbFe8CeUPEtZat/7bf5qn1vr+abm7u7myQJB+QcNNvLxcPXXkGUi6cYaqbfVhmy66GAZh9WIblHOwPsmqI06M5Ej9zV4C8lf96Da+M1pNKedSdvEzRc/ajPApOauXRbPJyJpUmNcvoMqmUosSkvCrtJR8UUltSowp9yY6cPtBwG8X9Nj617LbCctX8L8SynUe8VcuyDBO/Elu5CYAS2RuiafoKA37MDxjLgVjgfegFe52vb6VPKpMRQ8s4IcrQti37yHOVGPXxkAKXj6YN4UxWjt83aQESgDnvasN/D+JQgAyqTul8MA+RMC8FUcpqw3sZRBkMrbLa8Fh/lfytfj8DOfft/dp4Ph2Hw2Bc0IZ+W7uNDNi5IR0Sc4oG9igkJfVhDb+EtCohZBpopqw2vFch9gF1o6d5rg0HqeveBP6NRZO6pDasV9OBPzyHtmSgWWW14Z3SvuqgpgtqQ2pHLRqdsbLgX0cxcXsDNvdt7TbU/mzA6oLakN6N+mEHur3DKJ3S2jC7/eja78tJxASkXVgbIulpba07JI+1oaAzbzsXveB9EMYGmltcG+rxcExiTIzt3eIuSVkJPCV7ZspNO7O2y/Nft+5ud6XZ0zVvfwD/mVxrYpqsuWNm2PHcHPhdc99QVDN9nXil712qlOfacA5IQm2rW2CSx/pQptcWDHqoDeEk+Bq2ogSGPNaGcjYN4kl0bkMyRSXQ7k9tO72vN1+V8NNcELX5cRf+0aGvrttyikp6kw/teex/C/sJJHmsDeWgF+qgGf1UH0bUjwbXoUUxqqA2pC/f+gYKHkog3H+O76L9NwfPpL3DaRyN0l2vOb/7MYkc1jCoZwOUg6QKkHWmNnxl5jUaOzAqgngRDAd+rA6MmufacDAuAz9s+0YRMEVzQRsZcssd9NlQjmIY1xMo8lgbyssgJhHKSHrquTacY2SWHZotVj3XhzPx+wYbfqoNgzb20wBaKzAwm4lbXBsqbYp2B+VxDijxZNr1DcfSBbUhnRP52etMPdeHAy3WAsOPtaE0W9HEGR9dUB9SENtcVB7rQ7kN2oFZrfI4B5Rw8k0IxgKVlBl4VXnaxTS+CQx9y2NttN4Nw0nQfk3Sejsydxw6pfVhvs6IgaaoPrSb2Kf93ICS59pwpvyd4XLq2cCpOvCCQOgP4Xbrh/ryp7w3JUjef7ftjqPJr2pf288utLp7bafbo0UPP2vSH6uspCf58I6HbWvp8dN8MBwpPimpDeuUmGPvdRQHLkC3uDbUM//GHTJdUB8SSYrhaAQDkAFmymrDQ2Zif0QdM9xGl9SGVZfV3J+2w82j5kt1MuIkbCNH8aE/Tq+nmiR+HFsThYeSLhRC+GxD+Fwfwjj2A7Nly2NtKDfTuO3SXVJSG9ab4IsPjSl476sTqanC2hBlwjBfzlJzi+eBGtC3Z4Fviap2YW2IZ34frnVrT0hKasNq3sW2pIGn+WAMDxDKac+FW1wb6gdcvBIexCG8bBqmXVgC8f4L+UXY2R+pgzL7nfur/AIj6UcuyMX24OZZ691nNXJvW0GOYFy3C9PxJPb7tl6rS0o6kg+LVtLvge8IlabIQKsq2rwn6h/5o6lBLSkpQa1ojCu4xysVSrE5PWXchipKFSGIJKiSVDhEwOSIxMxcB6N76qpw4jMRY4kLdilUV+2+ECethz1g/bh53EREoYquSS8ohzwKGw3DojYJHWlU9RZteuseWp2rpZLuDVWCA909EWgDpcndu4/DVAxucR9Vw9TNXCWyWnNlHU3PI+/Dhv/fv6vVp5Obpp4WbT7VGizpbJiaVb/fv3f/wspTidZSi3OuFos7aG7f7Ib9xNXTDAJPnhHNnFRODigtAonimyOT9gQZwDLM6CTJQcunCSSKUBBKcawC/CRPgoPgUm97tRsH2lCR+rpC2hyOgXsf9KkvwXfyUX52RnvDSHXTLjEY6DNTA/8T/ZcngS9P8ONoOpQgWv7KC+Rix3fNVScEidZGOuBOjQb/TvdG9edhogg5EIKRQvZSQabOOKm7s/CtIVMeASq3hgzj1Q4mftjHRZUeybc9Tn1s917h5eaOliO/+GVIiRa+OpqUWffpHdI5MJyVZcqiwxhAVsbIixUrqHoSjvuBzycMS+v9J2Iyr1bVqLWCzwtj2ArqV4loy3yaiISViNVh1TUp9dxvhWOxXWZxbwZfi1++igbRqBdpU3G2goSxRZ1OMBzjOhs1yAW13w05sp26c4orPYVk1oViCj7hy0DXXx4fFVV4d/4GR1/jCQ69FlVKbk3dn0zkLs+hnOVTuf/SX6XmJuFjZuAPItgEptQVdaGoilizUpzhDJGcKlRsBotCzSPWtaRvTx1b5XNq1wEfEnEalLDYdBu8eahWZDO2jrw6lz2UMcqc/p3pA4DDJLWdHBnnQ1rcJNXt99WRfJcik1zCL6Lb4ZcIV+PJraQc3s8nOaPhbLSylIxfJXsJrhjHkcS2cum7XeKjPjgTIjIGjqABnQPf7uILcf0Xyh65VMIP6Y1SdemhxJMmsZWbO8lOLx9mt17iRk82NzO5vsyojfn81E+ff8Tph39s7d8FkgcTf8c0Xz9SraRAn7j9OI5/VGTBCQx+vAu0iWbfo+2CT89B1MVhOeQcAKZhoM5JyrRnhLncIeTCGWHjSd4GFkf4PlY5HPI3SI+xr862VJH4ViDyqZwCaanPWSpVBmWOtBcYOMHsrO8Pg4l3SDtXj6Ow3SM83K76660mV2lyKLO5QNWqoa9STR++khhlFTme1McfvrcWCBW9y4kXLqrKZJE44coqqTjfgip26G5Bldx420qVk/jXgsqz3puo16IKVihrQRUdnVrw2gSdFlSwI0kLqiTBoQXvc4M6iyonsZsF792IzIJKTohlQR0VNFnwFtCtYMiCWnZwY5pUaYWYmMP0IpHIxMJFMovKEDpY/KpsZFSwX9FbBPEVvFPheQVvrbC7nIEw4XDpgZCgucKBsOLfCmqomLaCtxKrVvRSB6EVvOfQspzeSAxSuicSGlbYExXZpXLvpN5foiMctcW3UT8PXxXC0VFaBa+t4KuSGqPCMVGBUgVvdQBUwWsd11T0msOVCl6m4pAKaqm4osK3Kl6o4L2OAip6LcE9BW+ToJ2i9xKKU/RWQmwK3yZhMvkEggESF3XBWzfKpaiSCVspqqFCUQpeq4iSQhwz4SF5yweRHOnFI5EehURvh24UVJFojLKXZWwxFTtRUCuJhSh6b0U4FFQxQQsFFfQ0Z8fNihJID58EExQOH4cFFL/7XPhOXPkFb42LvqCC43cvqJPypBfXMp7xgjrG111QQRzYZS+NZ7qgluNpTvcbpM3O2vTsiIe4cHaUwzcHnHLGpuGJv7YYXuJ9LahwmvhPCxeycZMO8b+lJVIISlyRoiBclvoMk14UuzmWwlAyP2T9gMnXpV5E+Xq2b68KLkPkzDG4pP11CYhSl5+LUJkPrhJKqeHJ+NUMUtVHKeUrq4JH6A5Njv/LTNfM0blC6qRyR1YFnNIeMkGw0ch3RFkXvtf3dzFocwJdWX3UckS2H3EwybP81+3WQp1FGpncA/GsAPM37MuxUeJB124ZljrNWBoPznKhm8aGpTrJOYS4XeYX+T4ZsArrm0Ucx884VZI3/zmoP/dB/YKZ1MssM43ijUgexf+QPBqPg0Ej38eQvC/zKiSVjB/BfOd4DqxZKPUV6A5Tb3N8AI3Gvc3+jYaY+glUJeu+Rkj+u5qsLflvo2Es+Y8LLPjUkqdzvZZa7Esb8oiJFpvYH8O0Dm6a5R/Gaj+DYdom72QalI37sorpOdV6kfXbsXznWL3F4r1sZfl5gJxRJqOJnS7qycb2k60907CTLkp9kkoPxVlT0umhNjY29lLpocy4sHm4WnqoBM5i0kMtzGAu+UPUqsvJELU3R4YoTLKdgcZMjerWX5EhKs91FyHLpdqj1tWulTBsJNpKO4Ro7HoBxi0JXUlKUt6alF+shktiZnqfrb5drUp6H+JtM7tq96XR4BlJJZXBG8sh4l6Q6xddkPv84Kz1afDLxYfb/a2L/ff9/vun+z+fhV87Fye/9E++Dlc71y82R93Wq4vthV6Qm+ciy/eTulOVO90/9Uz4fcUZz/V/zodGwnBsNJLCPweNfNk+Xmc+SP9JUKPfmYChvxY7LWA5KOrCOfDjhzR5SXH+5bp/CcdxUHfvz0vjjrJsBJprITnf9cfbP8UqBDbVtBObMAtS93m/fbgQSNOdw99PFwIp+Pr62af7QcqlvQWDhIhFGzTNf4fE4ElvBnj+nZ5sq833Yl3wJn7/5qcCvA4gqEKWRsJRotVcPIPrFlVbGw+jaBhM1qK4y70X3I7PD1z0kqCXowgqUBYkMrBOROmSjo+Jv/cMxP82BUBJ6WemETa6pf4UdA8qu68yYaOnop9gKZL0JAoIiYzR7U/eK79t5cYeT6atG52AlbVJyeiMel8AUmfg9PxraCFQv1t3P3k/4xKHWzXuXShpOpVz/tUxlW0pZnSagRL+SJj0JgGh5nvqOzNEa9nxyAt1UioRd5mHO5wEAwx6nxRupgo0JFYVVuA61NREBnSsuu50S62LhJm5fIzAQ8NY8zi9rgLSJd2mK9mAGQUIiqwssYoByv4vEiSDEZIsS/Z40kqotnktJhZWMiTV/e1YbvbAtQCcg3+IPnDe6MjDhSbaMJIzTPzwISEEVk+RBLp/Z+WjlyT6csG9+3l2W1P3AHDfvofBwwzhsrSfDdOjbwhntX+s6w2FzSXKHuKNQtLsir4fxaT8x2GfLwFpkTqAbOliICr6BMnxfbGlML4T/yYYGsVb7WHlX4/8OyJ+GjBCdEyk2eck/7BRFH3XQuwRd9bvI3vy3aqItkhEzlEYRR8mCxlFM1YVr3OVDkaKkzi3Ma4ACVZvSSMSdsDNMbGSWsX3hVB/7jyQaMwalnPlRha7vIBJpiYlkJQTFEOYTU8xLEcT3F/wlf/9EpKKAA7EF1BgSDHz8bRdOF8EZDrUd0KATlAZH3OOYdwT86XsW99rkZYw4mUKj1YM1Z4G51N0w1AGwaDsc9rnRtFQzI8Rs9eiyg8/zdmW86bw8OuEZor7RgyI1H8xwyEsJ7mrQhQ6gZdlKVU6IPJs+jTA4deRz5fKmNMFGVFAGspj8XIXhuJm7SgY20GenZCoh5Yox+RUGmMbxUBomlAbUwstjS9y1GNqsait+zSYASo2gm2d9+NU3j8mB2YAtLzAQdpy/43wBABFX1iQhnEV9yixQQV7U2LEUOf8ZkxBVdnbW2U7GgpXEawBzmQFdyfCThr4/vAO9490X9KQn9ptpF84TU2H2swWiMm5tA3Yy6TPCXRT5MCl0URAWmeKy3lEGymFjG06gYkHd0CGdx4KeQsvhUNqYiuBgwcDZyUjOQje7WjSstKO2IVpJHgcuTA72WCEExirme7qE0eifyeY5Gjk8P3yFkmCENYQb5XvmvssQZUOzJi95y14z28rnOtGf1naQgMtFSoC+TQ5VV7Y0kAiAWgHC7Fv2a2dhG3EEZyrV+kWaVGpGkmTWfBTHV3ojFVBvkdQuH5TjjTsS6zVGJhWmQMRQ8KUwFI9USZJIXl/CiZe+IuiDrnHi+nGPjOc/SqN8FEUtY+i+EJS9Sc4u8UO2u0kYnf1FrE0d8TShnyRGUy8ymIgk84mXfZXd4ErLt0pX76JN1Dj4ZzH0higr7gsjeEaPUbXK4Su/BpBEhqVzJB6kdsadWecNFcKPy+oOdURv2+Gz2kl+EJSa/WmukGUGSurzAFNs9BfS0aIZR+q2o39Ua98rQeYvokfugl0nVKnISiRtLSfh8E1nG2jNiQgEkcnrbXydtzEb/LoQGZeyAzLygqXJW746ZJ7fLC8nJaUZIAVsxZO1jc6T3ufFZPffPKEtmTYwNjVYy0sEjOoF11SvOCOvla3Ezodx4CWNQarM7bGMUsitDylTdrTIFCLy8tayXJBlfYZmXZ4DGfLTedaupGbaaryAWrdx+bd6tEaNjTlFhtkSudz5EOst6DogqrfK1WlgzgTK0FKqrwitLRxyuqb+8LAS3Pghf2pMhk5FkBBWQiEY0qmQ7lha9iOo9DOjQFaBBEl9FQgrIRjgmHPsi5zB7UirhlhO5FH1bWp0pKSkIvszItpuqhVW4xfTEsQC/Nawp1bvK/zxayLaWuBA8q/Z/j6kkNFCFZBsysI3mHisk+9/H3vMXaEupTsi/t340CHWGmRZQUXTyrjE2xwsCWxfxohKzArcm3WpJT+zzIzB2N7TVyuOF7LLLZyNCyN9gdj3sOWgxGMYcIBWlpykEuCQz+Qm2qBxor3Sfbc69See0NqJ2xtLT5hs+YdsQHPcAVwjyL10PvexmVM/cWNw9jFl70v4TiHp1RSSJ39qwoRznEGjnTz4Y24jafr4YDmsBvhAj90F9O1TWPY72OJyMWS3g8cBJJzQK6BSyntjnDoie14XTZn5Zb0D/1VonK5AStlXw1d/2RR1KLj2SwFppfhDEi6mgG3sebVd8zr5hH44+5g2kPHsUH5VbTrraSK9qmVVNHOsrwquX2vWjctKOjvHD8VCtJOqcvj8wMDtsAbtZwWEvAncUJd5juVBGqxQ6oA6NXw7+RYuixxCRXNRrmnSd0OisC2q+EinESKUuo5gK4e5Tp+rh7dw+GDDl0Nq/p3eBT0Tc6MXMaDoypUc9egcplvBu8rOmJM1RKvCyrNdrGgVkK/l0IkjzMm8yJKErP7ciV3STL2iluWD38y+jX8HeqL2c4NPW9VPBkajazbYiFDx8NSw8OA6peuV6CwhbRLgRmuWthZ18DjtEvgsrYxvxImGc/B8oIs/zw0xeLGMuyoReKaJ5+m7fMMIV0IQBlbPW8NAGGM8PyxecRnOaZ4/nBdDO1i2Tbmdf0OWtIK+KhAEoO4VGbM0PPEdsnY5AxLgTy1XGrHTrrlGqcZhGvG5uEtNlPr3ROwsqZnhpc1VgNmriEaUBwzMwNwzNE8S7rAatyyJEur5hmfAPkqBmU15Gacs9ZjPfCuHZgbdYvQ7j0twmn0Un8EEb3VMAr6AY2XGIOTYUuZdxlG2hgMWI79NY2Hi4htyGV4OcZfgMzadV1wltGWwVjPsuiKbbcahGOQZSBOCcCUWGYTTMTsKt/zT3zIC9IyvCrSca2sl/XNpwm3RT1jjV1OjKmX1cyjDpyModURB9OG0auhNbdz/mEOFzs20nSVuf4wXG01Tb+c649AdA2oCf6uepP+dGF/mKnIROVYMXPVOSEI16IpQ97WRkwAnWEIK97b03Y1OUyowNnCQjGIoq9dM2Dx95YZ0fl+AZ2xDik8wAGXy40nuyve9pPspeg7W9t7W3u1TrnI4YHUKZftrae76UvQuX9s+6l0wMWAWMwBF4XBQxoRTRMk1/7fMgzaRPgAV7yTzGgfMTFEp2btrzi/I7kbzR3U3sGrw4PXb46bF2zjnJXa0bFgm1D5Y5gcWGEfBDzt0Bmh29G0+3HUvsPxPixb4gtd0jpp1jDhOH1Fkz4mvetOIqcNSNrNjyds3IGAGKZCpmnm/HYIk4o/CLuRseQ6pbnWXP6VDYGb0TNWumrjOMH5d1IwfShuxjPoFi8GSyK2aBgQEl+iPnT7KXRab+NZDs4vIl7pUHvmbvEFaWgYmR6b00iTCmE9Cjt3YBQwQnjfC78htkmrD2tA/QwGOLK94k2CfjDqAefhdABOjKW5nIPuc4TeM+cB3HkRVhNJOK4enb1SZopVmoJsg8fKYGJZSrCtk2acNhHMi4wePWxzYKuKmxFSIWl5pPhfx2GXD47njEd19LzhiJtQpg3ig5H1VRn2ecGZ+GETN43diMT/fgAiVnv4T1CowaF+xB5s2E7Wr1cTcBko/j3DOzPjOODXva/f7GrYQmYdB1xaWsrjo+gavBqL4ImNRobFpHkc6wx2e8Kp8r90GY/9aSH7YEA2x9AfPRgH4BbdRZ/qY3YR6+5WXBjpPlRYhzVbmLH0WHJm5TWP2N1VJGJ2YWVxCaYOmToVLdeje9r0eq3gtOmrvZOg8+Fl8MvRydPg2erR4Cjaum5vj9rbB8/OX1+3ft1oPjsY3bzf2f+w0NOmklP24tVx06P/758SAf7To0V2fvjixfHFd8kfXvFuAtq8fNYOY0n5tTo46k9i9NowmKz/REU0bf3xj87ACWJH/uSMi15REYxkmaNYFn8WzBwpqhJmGd9YFUQyR7bmQ+Y0uPV6QRyk95qcz/MlwswYp1U9l27ZOA2f01cz86bVc6JUXvjIACoznUJJAhL4Z8meldfTOZBVKsF4fbMTbT/ZEvP+R3BC4gofu1PoCLxr0JbRnrYm6mQEuwskmq3izOQfes0RHk6jDKuNB2wlSjViB3BlRmtWE8RRxlCi1r1TcC60lBWW5oX/OghGPMej5PawBaEtPJdYudiHR2zjijreOc9wdfRTZ33ziEmlGUYmYqGfgpuP3PW3g6cL6jo2sNNgchupm4zlTflCy+kznmzhaV+Eg31XLXJKuTlZRN7J4clh03v51nt1eH6Yh37+8NRC6UKkDmJfYFwJTm6xjVTz4u358YOjRROQE/nslBqkHg6HI3940J9e2wioogdvvdkLJ/0obo9fvk+at8pM+973p82j9+tncfiFpkqusVg8Oq9p7d4l7ScYucVppB4KGd3gSRBMpiODTarcRueBh+eIOEyPiPLXJi0Z/mVoJvPK4PVA2LyK+u2TuyPOXqbRsMoevn1/MOLE8WAeJ6RQGCzSb+bBJS1MMHNGz4Zt3k9onD0RxryEey2Igzd/Rlor6/JYeS7sxdzbZaZhkLbfvrtAmq7fXIpPigvRWBQWBzHJGsH+ELmyzMW3TumD43Bx9j4c+0fT1g21+jyctEwYfvbVg2Nz0IuiMVoLul0/NsstVV6Ix8IIZJ+ETiL8/dgcrzFFD988eFs07ukTKXbJwzf+av+w2Zy2EO3UhFPBZnuZVw+PDnH8i4i6b28BXFDYdEnLaWaXI+y+iSIQPIdFBhPvSxCHnTBop1VGkd0TRKupWKwPdvp+qI5MHu3/kurFnJrScximtJd/EMDGpNMlQq2bDsOJ8JJKo1TaFMeGTjlOsBdB/ZCgLw41+j4cInEcwk5hn/H+idjLhYkJFxzCyBFmccBhrVZKj1ek1lvH89HzZs+PRyHsat4AyQ2jURB/Z75YEFZnYetGkOKJXRDU4+4wigNv//SDmscxTGqfpyFi+khJ9257wVAPA8hV6BSxiJJI1bXVhQwufclVCXIVtEI8zaD/4qBgZ13IYjCEpT4Tk0jhCneXStKNNEoIrbVRioZwla5/+fnL9id3eV49kihZ+jbRdL0T2B+ioeKBBiNpNd2YNi+aaJcUC7DaOJFaMwCnAQgPgb933Z9OosQ/bgHep/IkVWhd8BypRUN9RyprjyR/e1CswlKgajBsK9/JwSiOOq8taCqOXgLylX3vuxmAM9gOg9v1tXg8tuC+jP1rXv7nzWZteGJoXiKwMK/M9/V8X1X3J/HvGU6g5ODNkSu9i+u/+FyYDth4+INh+x4Euj58RHE0bXtjvz9A6O1tOBiAn/ldH3G72NaIL3CgXmsaxzDUEUPsxjhCsFZ3WOY4ufTch3dGO0y+SzkA2Ds224oPJrW0tNRoXB6lLdt5J1GqWOzVmaACqOWnUQoBJfZxKVtF5mHXSl2ctj1N1sb2vcwBZoKpWIurwqhtkrZPShVbj5GWGdU2VbV8C7CA2kId14qrP99e8+T7clOsNb45htTk7dJSylaKcsxBo7GeMmumjJl6sriia2vMWBiduo4FMP1GmeacYstkljKUOdVcO5ayXuUCUrYlY1FyscgYe5zXlhHGLU+bRawxLjZs2NiJHYLmOY1yYhxwGnRUdnc2Mjq0+6Gr17oNGoXTLcdYsCroFmd1s9RnSm2yyLFI1QGBX5JuUnWZGrVmGcG7av1V0UkEGV6Hc+gV8jWv0Bzd4OoRdILHJbrA1SOBsM0HK105Xt7s4M3DyOLWPMh5O0f0LRr6ihK1GhpzdrK6FOzlS7/LNrSZYq5nibfyZbpGkRzrZeTXgu/TgirwtgRUB98cSdQrlEAL2tOippcRMQs+cGXJ0kqlL1MxElaA5EPEDm8/W/G2n2VDhzeebGzt7Ji2Z0UO6zgjK3J4a/fZsye7TzbSkcNup1kImxlCzLA2txWsxYQQL0QkFQm7KLj23yS2Nt/ib/RzSHne0gaL5JbJ7JUfEyw+p4ljBlF8HbZJQlvz3uMOHAQ343hq1OfzPxxphW5hcCVIib+krUHFkpn5QESXKAP5BpY0ZptpzBQr4HkhNk6cwEWK714h5t3zv4Q4ZoOgOT++SxQD+cY5spoEVPGZ5lZvtTfla0pWPNwC4uEaxNEU8eZ6j6BtZxBc+yEq1enMVrozKoaNQ73kgpo+Yzrp4bguR8iJoJpQ4njNu+iFeMPb7Ng7PROhlnDvhS3cvRPYaR71VTRBCDh1kN1OI9tsQdkhcUZEZlKBcNbVsuRpHYDHyJztknNb/bZE5YEZJ3F33nWflDZCD+eglOiA9cvixHfLa94BKb40PZMQx99i+To5bl6nNzvp3pyCHjpBHPt8ehqsts/nW3k064DeTYPm64lUvP8A4ZMcZNfnC/4wu7jshU8qj6dMf2qoaBig0WGLw2md6JaW27th6gDBCoZsAkA4FD/G8TCMNk3yatDp4LIa3XIqKLBOj56me/SGxoTFTxr+swPvxB/TBoxbjLDwJj0+pe3jZrQRtYYz7xhRiyl0/DGOcUPLi/pRF7MZysl62gRpMv3rPgt8gD/u44xsoOPAq2H8LI0xq4fdLhYofjejzsSD7M4F+1+ikDTlmBd9nWb20s2oBYxLZq0D1f5YrmGaDnnrCXm2UZJty716YIZRZEbA8Lg72rCrVQkYRsSp2gNIl3hYti/xrYqvU2t/O1ZuI7hFCD4Qe36cYct2w9vUcD6rffwXsFgbs50GrnkrZZt29d2Guqntb8cKbSyfEpZ/DXuzsXgmQ1uVZdmf7hlCrcyGWPJMhWePWgPuN3V2jujsu9+mfre91wl+f/f5ZfPXi62zuN95cxFt7oTvvt4eDIc7/S9b072du7vFRmfn+12NCV8fhf100ztpfrZdLx4bJT3OkaIn32+DMHF3HqaVSKHrsz6BOqCmMbE+VWZQMNvB+94dfZT2P/Oj8Q3k7zRZjF+8//not10L4zPkzhh2wu6UBt+7nob9tk7LFY1BqWM+Kkurit9xvpprcMhYTk7g9uH2MiFoObIMls8Z3mJQ39x+3jz9Ja+VA2VO0vEI927q1W+73d9Uvmq3qZfgfotp5JfNw94vL6ypoOWJIzS5A0nv+KLFxTS9tTV9um+7DN8iLcdLbA/iUsdf73l/GnhHJlrBxeiM1F0ia9o5j+i7xeB18/TTk8NBGi8QphU04aLR5NOu1ZtPObbZefQWFhHhxdrwpQyVLt+GIJFoJrSRXEcqV1Xfj7swOeokCR18M56sduPoFqvHrPnE8ilJbsDACTrSjqWOVOohGW1P488q5I/4diid4L4JU6ZdAtd3AlzU9u/Eaa58YlYf3VF7GQwDbLbHhSH1WTBZpV+EErUnybljPvYMsSqMW/3gU0BbhxnU/B7u/nrdCj5ID5HDoh0isYBHjAWXZMI4Zx8cVZIQbKVDoG5PGm+rTiNqgwnHa932Ou1FOp5rQr2cBqvhcLXVCwIJS5cxxRSantC2RBiRaMHy0VqGmuT3ITHyu+uofQe8buXyYRY1ViTNiLBSTmnEotRdIPIsZq5QhfoQTXG1qKV1D3G7qA9iAjeGMdy1qp8dnJyvefiOj9eJ1AbJqhV1h+E3hQF9TlhGnOKFD79DAqHNCiw/0tsRS6G40hSZwO6w8Y9DiBvuDMYY0mR7F4su738yyDR3wVc+5KckLzPM33nH9mUaTEBJnp+eH7dvITSG6vrWcY/20kAysuXT0OTo2bN3F2puIQ+RmOOAILkjnqQDSrKDToqCMjTqcxQGSU6kMoog6cce+ppesjnDIRixCxUHCGkMZuPwxoiaLIB6LbhRiCwzB/ImOmkVrxqSe4LqBowDGmWwIaT+82mOx4kkrd1AyOiSwFe0n+IPDmNNhdblpMB2MYCgmbufzeA6WSjlpkZaHaxPMdcYc34tIvoFq6Er4EYC5jZQOiYIUfmqBUrCa2UlYl5xazaA9ix8IWBB1dIvBhr/71uWVkXVCOHCG5/yRqnI7Ini7Jr6/PvnX/dfCgVbmjHDULz4z9SrbZ16Bfd7t27UE4YC2yi7qohpIzvfkHSTOkPzkEbUNQ3MpwEYjJiIsD9OB1+YpPBRDCxowU3hgmDiGwT+EK5FeHvBiev0psDK2o39ayswwb6gnHaNyRR7Ciie+/XXW2JXsPtzxjL6Fx5U5EvEdes8WEsbdUbk39hSi+azq/fibDgc3srqbUleULmVnMafEeYlvGIbNiDpmMU5JYYWkrzpm86kLR5ER4oZytXwJl2qMkT5nB5Kp07WJoMJcuChai/s9rzcxnXTaknxhIccYkPNB2CkrftugMpQk5m8Lng58xy/TxvkCuw0VNTl1JmcMnSqXmAZ0PSESC3I/SHUvTBOphqzucbUgJdaLlQWm7Rmsd8fRytMfNpssBibES8iaruPfwc+Q6ehmgAyp4ykbirjEhDDYHOu1ZUqxqYaAz3Llp5Pxds/78Wfd4WKIdPpTwwF88fagoXf44BpvA5ucxvgifplCWsTmJx6yLaazYxqyfXEPm+96YgWEVu+JpDJCfgAoyxM9RqKectHXkdsEjwJSPVMCuiadybplNuCswR1Krk5WXtlsvMvP1+E/pGMsQov4RaS3M8qf6o15gW9vKCvbJKlUelC0YymtAe+R5DMLeNpZE55VqqbIq9r3EbP25Tqg2yvMrZmko6CoO8hUhJcgRNY4+MubztqvxjTy07mLLSMhatakaiBiCJsgxfYBpWXnbchFrVkT7ym3nR4p4eWBflNCINVFx5yFawpab4yjdwEkrnEih5i7DndGNRFtcXKI9pN3P1cj/TGETI2YjhJtuQNTHivB+ZnGfdvgjukAguRTRD9DwboOpWuckZncIFrVEUfkBBasMdXPFpSHWmTMY7cSUIJpCBZW+DoEZ7FGmOIFCpnJzzwMAQALeiNLL+CM9HwAHbO+kipDenbh+uUzVIVEjPP1XRz51pujjNvyxWO7LJpf3i/+fqVLBstRzHIMt0uH9Txy73TQVNA5We6mAEJczr4YX19GvfXX9JyGzVRcPziDKFiG0+2dp5tPt3b2N7a3tzb2txR/JTr1GvHGL53bka9c4FzMOUNeE5Im1tbT48OTN8zpwyrAnqyFwUwp6KGWsZzQjp/dtH+ciqQjon3+SQ3lw2UIuFMeR4NsjnVawYIFV0IGfZf7Ox+8wXZV5CnfhHxpATfMnCfD/enu9sC7mWfxDDi3XOC2tl9tfXLZwH1HumHmUHDFjInwItPn57fqNO6JxHJVmtrJZDqzAruhxjfiy3oFdiR+OL1TxGxXoL6IKvvw9aT4RNlDc+m6LnHILBF6D7DkKD44vpV/E151I7++1UJimVQvr16e7P3TKAgn73vvQk7Zcu6Tn+bom3cs7/GtDzS3rvkhOFZHI38LkQLU+bhAoUh6fOyo842B+aPTO/i+W9vXqvFFd6EI0iONWHl2CvXWatEaLA6kH6ePC8AeDtkbdHXwF8kz/cDDl/xiGRxtR/JQwnIOlRS2jD3ikSua30HqnhpTasunDwk1EOePFOtUIpT5lZzXjPBHYHImcOG/Ms9SJmGj7Ls4cr1rY3bTvuJgWd6qvQRkYxJN315se/9ap3Uhch5TCo9zBymdJ2k2X7kt5XNW+kCA1zk0oPFbS1vPE0f7ENg6R4U9WFp/fyw+bF5/vGAHeDrp1C4EHjOFDSBwyN3vGocOEuOkZ0diGIEvegHvpqHA3bYAxS04RH6ybuIcbPIcAjhnHaUKWlGRMikmnirTVX16lHi0SBgAzGRSMhx8aG+P+2yt+p+1DcB+8HQjy7pLe07NqYMomGE5MnjSdgynqjroAfrBirIILARHjHY8PySrkyE7bXDgfKCUovK1wrlsM233ODyE3iSgQrp66sj3PjRmZKa1iI1LRqE32DfEIsOLrehye8T0vqqGdDDFMiDdHGLSgy7VLpXrNeLDg5TVIjZmQT/xVahswMxjl0H/nQSwu4C+zH1PrgTZS5RE6ky+wx7QX/EypfaLRy/bhXSm+OsIz71Bp1bbheGB9AotH/qQoALDoaTKAKtpgJt8O3GGg4LqlgVnBI0ugIHyeBcx72DY5b5aBG1I3ElTjMS2eItNqIladAKMXFalaCUpBqHhzgVJJQkqaDjOJw6Egni2REgyQdumIXzmURxeNnoDSdyI4EkkRIOBIm30BCsOAvOxFl9Ob8PHi88HOKSox0sZCUSYjk/6gH40vBnwxrkIFQjCRuoGqtwWRCKYCEkgQvLs0MSLlPhBsm5JCsuQS5UKIw8QBfuF2YACB8kpuDx3yKW4DITH8BHoLICFnONZYQMPK4VKnCJGgWRANY0SuzAMsYn4/5/nOv2v3Qc+vlYM7x7u/IlJLO2r14dMi35g9XCDni9PgoCtv/Nned2z63gcbkMRTzWFqWIR3z5b+/3tnu14IjzBfmybQxNaPo8/um/IHx9pl/a7t3fP7z9spVyD1sUL17k5X9PN7E97gjY/4/rt4br1x68nHMGl7a31iIoceguF3ptbbB1ziBkPbGAlHW7Pv4T3a2XZd5UW/xnB6xsRhe9B3WhNhrV3aaNRuIpffyQHlIG/td4RhtVHKKNB3CDQua64vut9V+QfcpBCdHMruJ5De9Sb4kW/YgncjmncpIGKKkrrsa8uk1Q57++x2jUcCXmQVIOQatVcRfm1RWXn1VV/IF5VRXlWXXF5ZdXN3HbWbXFrZeqjWHP+uRyR972rllgxQGXh4T2n9kSJLvX8iq7HjLrE3Gj5X2ifGD2ds0espwu2g6u3M6lZr+CGysPI05mlWAjbqp8bCxPUy4+R//9yoIk3qS8Fo1XyKoubqN0dbTs+nxyW4YBSbttrh6l3TVoxXb5pBvhqdT+GAsl8dfk1TYeln/lKpKWSybvc+NDKfjcOF3yPlfOkuy32qeS/gijePlTtr7lCtFJnOR6z6WlJe/yX9+z+0EBY7tWrpfg6pHtHbh6NNMrwOYs8UUsC1NFW7MN+4VpVJD8ZsBbUVctX5bMUL16ahVtYc/cy/hkxaP/ZLOr0OJ6tvXMoORkV8lBCe95TICXnXZFn9a206482d54tvnsydNU2hVn+tgcPDvrCoF6urepQC0m60p1K+N/nAYpp8HjQmeBuIT+zbPQ5JwpeX549Pb80Dt727w4Pn3JbhLzcoWENi27k3jG+70tNRsCnEAhCZTcx44D1gV6Pggr4AviB5Cs2vTYwS4MoVPUXVshVgo2CERr3bdR3F6lT3AhN1RIZRZkOwWEWEyi2yVJy5Dqigqkyx7zeyGRtKbm6Vu579KUGJ6r1lmHjV5E/HKriwNUrp7Cr8Rtmp+YDAnysEDUWI1N7saNdnQ7/sYZyD5C9yJKiK6Jjr6wpj3+CK39I7QCEjBVbAzXslzGdn1TKi5hy4/tXpO1AMzvBsNPe+vDiLgZLaHRdDhWGJ7Rz6Lm+WGGc25Wzo1vd5FdjY2Ks3JuNFzih/r2f4PeGw0ZhkZDFCOi4UaD6JbU/2JSZdHiUlHK1SObQq4erRWlzyuZ6xpUypLG0iUTwRwt5VBV7tV2LgDLYetmT2gXZU+Ifrk+/xpMg9bXLf/58ElroSkScpivMp6DgiK9qUsfLlQfPJWIL319VIpn5S1aJUe/+80//bovaPx37EJPrcdUrEiWV1ZutHk+GH1TsSBvwhsYkmFl7ShVPB3DVdbw7GOR+zCVzITDD/vWEoaDG4sJS7mnLZLaIyjjswLboE//UNVRL+xH44j+gbNRMlfCkMNiDyRC+hXjM+EIIDxJc6l5B4984TaEHxJD7hAx19ax5bCR9CNGMIiVwOWPRn0YJFlYg+gljAgds+xztz1IWi0/jjmzL8wqvkfYTsIhAfPHNySy32gc2W3SjsMv/AMWYP+uHeNOUX1IJIu+Uk7Yhs2mfQhfxhVm5COMqRiHaPH6kEpJYVROTULzTg+XXvxr3rly0rABf2gsrDmopGO6NvF0/u7NYZPryrN+mx+omExGmrKrc6safFFWCKy5823gCbYFUXk5q+V+fcvhxEkf8JRGMG9FzsL3GGuOl6deqaRS4Y537Z66Fi2YNtcwe682f30UEY8L9tsQ3wW/vDcGV4uWZmGHjkbquvo+fMgTzsOsFO7qcF44J104oAABFWWYpE5+cKXDry1Sv2hlQkMjWoF6pqI00nKGN/DvLC8TvDxYaca/o2UG0kTHtpNPvmZ2c8sT0AmBMQcA5XhC1QnrspVZuMrU/nH223RLp3X5NQxkixR1C04Q7JWIMdEJJjKRhsWNNhM0hUfSkID15Qjy+fzBJrUhjct0FLaTzSAhtcybFJr5dGHDHvdo37/j7SeBapXVhsduqOtp31wmmJQYWNnDRvnArv1bdVBWPdQHAf/U4A4yrumfVVa7f0SDUXwXdWRyE5BucX00aYuMOgSEtl1ztZRdOD9IbBC5YPWL+qBvI7/XnupsIlZB7eEMxyFoow+SS6DZhfWRi0m7SUDhoTZSJCMP7lo9WlJmzJKi2tCwAasgdP1Uv1PING3WJz3UB9GK/W+phW6KSnqVTh/CNww6wMFTM1dZuBqANKn0kGL1wPvD3Wc1ZAgOWqhn8Oe8zvLayFEDUp3TdyTywwxzQBKBK015ui0x4/0NIrttTcNoGMM72BIQskB7aReGTMR4mDg7qAxhHzEJxUpDleGZI5T5PbeG3X1E2sE4Ii7EqHJgRkoJFutJDe21wU6QNH0llgBHVVXOEKqfQzImzb+jaboOlEaDVUIp+xuofIyTI1I3/h7KHBD7KzQ3a66Wllg/4xLv0mhCf4WBCvd+AAVWZOZoL0c5Sq5nqafUrOdoKzJqCP0p0T+kzguOETE6BUr/loqCRQiX5XJ+et2LhiDTlvmD0iJBX0ZoPUdGV+W25C0liaTsqQKIvPq3LchKiStz6nq20Jgu0xKfLk/kOHm05S5dhaUpBcWIRVLAsoyuyNfBqN+WqMFLjz3NBZt/wU1YbqVlEgzy2LT5uJKEUOhbXtAVHZsbGyve5pPNrBt5c+/Z1tPdTdN8gR9ZrXbg6TiPldvBdh5vPNt7uvt0Yy/lPE5xDd6CZ7uPAWxrQwFbjPt4sZKJCFxFftPdORynIFjblWMmTPXs/p7T1NAV+JS+BF22/tfxKTEuKa/EIPgYEhlgwvO8EYW5nNu/f9x/efhb82S43b1pP3/bPtn8FpzsRp8/N8/fHfjbrecnt89Pfj5/GkcLdVT0tvGL+XvgEeZEnIOQdg28E1P0HyyDKrN0BVdEZguVIVGmQ2mFQRplIOXqkLZW7XYrNhTdOk0Rp3Mauyd0wP74hSg+cjrjcdHCWiEBJjViExw/yhk2mTtwdzxmzWxm7IVwf5K8wYPgH5tPqFTAyyta8BFvncSSIGn4djpS/uWYyyq05VzLxMZP/K2OAb6th4IaUkHDGlVpZW04Yjl8OIxYkoYblhY7R0jj9zHJ2xOE2a7NbhU9GV6PR0UV0I0Qd56RkNUPO8RxEefaiaMBAlyvIz+WiIXsl2Wg8yycZfVFNe1rOc+InjwJbcv/oKjLeB6894ipT450iCwr2o6d87XVh0oTDLHNscIQ4uSFbepWTdFeoc7VYKJTp7uuidwkeDxvOnNWCJMZR9TxBZqGmRk+AqFchVVPlc8dPE6EUugCualVyyb9IIr6HmKYr30dOl0H3URx2HrS3djedpmilsj7fP5vouJZhJlcCy82C226ztGoQfuVygtkl8zsRhnBzEVgJIu2blgvzWwi1ZJtJ2PEta2tYBXHHjp8Hk00kDERsIAp2IGsPSAxr+mC1Mg47YC60cANlAGs3OnsZsxmYDVlCsuaa5HuPvCT8wfUq/Hs9pJtwWouKStrLYKhgMU9WQ9yJwqxqGSZ0nKkkUZYH05/0lL05WAhsUsS/PiIJ8/BQMhTwu7ULwaJ3/RB0XTnkhD/nmHZSuxVOYQgsujfwPiXg1vdfs5hwWsHXybBuO9vB1/ilDCI19D2MuvR+/jHRw9mDyktNnoo5rTcaHgfVz/ipI5IUmVfKNFrWX9hJKOyr8yCMV8m4k7Zh0ZKYrPAZb4Q4atT02ViUNn3EEJyAGRlmzyQ1SWOpKMZ2UVFbZslhKcK4kX2I2UpcQtLpAOidJ6Eq0el0gAOmOZLAY/r7v6Xjcbsbbvshu2MZMCjl7NxX2Y23JlAC/bvZeDvbMmZMc4d+LJdE+8bjaur9Zj+Sju0EAt2Q768WK8+rpa3malaZrVxzdx9SFVN1hfXLNxDEGO9kL3DHSJLlb+fiajgqMHu9oq3u521EG082dqoc42rthrYJqGdjc29J9u7z1ImIUUwzMtnm4IIyLPdZwrIYkxBOeQje2iRPWcOc87/kTh45QbBEZlqQvwkDoKxxViW8JN9Csrhuf/mjXfx6tAz8WdKeueAYE3ka/wmL0yKyd9GVmwGbw3jk6AVKc5+lx+/ktN1p7u6Z4lIyU8W+rx9eRvP/smOHk5Fk+6D15z4vOLZmIitCSucUwXRh8Lu42A87bM1kVi9P7T0Av6V7zbn92+QlEH5KdRZ/yRFgz67jxwLRDr+dagihCpBdoeFsw6teN2wA88XbxIDvxVHOAtrDsjKjhR1OquTaBS2FGKcLEYO1ctmAmtqepzHgQnUGKsLoXiM0+NZvQfPHS8eIdAJ2LjPSMRjYtunxKo8uI7YH6gTYKh9VaUzSNIN2Clz5h5Hnf5ifMP7UC+KbqYjanEQBBP+QYV++0vY4kQM2CEwcFOStEB584+Fahddl7Pv8OhGyNqQzp0+g+Rr9Nxuk6hBHHzgrj4f6wcKIrh8wWHJfjge2L79WdAhmtEQDhgkDVkQT0LJGAJ+Eke98Dqc6CtmK0HED+EfhHbwg0gecOoR3kGsjrrH7HqeICUHn19QW/WERQTjFOS20syoCgIFnCif8aoMARC+CI/gp0n04z82j2L6a83hQTSc+EgvIlOJLuUkj3VUYjMS7F2VvCnI8xGOIYxxo2NhXV0/pk2Jh+Y6GCMvCFiZotSZA5CE7fDDDC1whoci3vsysqtV8VAkB0l5q7t0dqlikbdkt1tO72gqfsPeqLjkaug1oGtqcLlbCVLb1N89FPC6W4P6rNFYOK8Xls5D4XEbD8mZk27ck9XKxHlJDpFc1qlnT7c6D8tTn1blZ3oMG/dnUsl8NBqXBVyiaBHM4DywjKx6jbm5R4MF35TrkCFbtp6qnsPXb/YHH8+bHydHH3dOX+/tXQc/v/79y7eT15uvD/27Z2M/urntPH29d71Yz+GMW2CBNmICRv1pd639aT1e5f6t0loNW3km+58jWuHvlJxrseuEg5wB0oufvfMoSnN3h+e6V1jKORB+4R4JSefBRVm+GG2QeYMUQkS/h8OJ10xiTlIYZzCS328iWu8/1NY3SDdTzXzsA4IM3TtbybgHyNso7qs5fY+fi4E6jhAfKNvG2ubRYE2WjYX/y350DesVSkybBSN3GtxixMepwaPmm/4InNJIc7pgJsxfpuFENh70IAu5j9P0Bq48zoS6D3sEcb17TXPB6IF5KnwG6xeqYDZG8WQFh+3DFu0IYO8r3lkUTOK7Fdp6ozjM9H0huPr6JlGFKmExE1OsqQ4S4dH6uviVY07ETkos/oHQRHMOnkd+hdMbh22kyFC4TYetXlXsILmtB19HtPU92aQWZVYjtf40ClQwGwUaKyTTjas1XHNYON2Vg5S517kMK51fFl88CGIuUrMRej2MbvtBuytbtJX2thJyPF2Tu2/R8MmOmq0bDdBBJGlmJkJnYdCC7HkWjvDPrz4JWuE3msYVL5i01iqhVXPMdA5YB+NXqnAmwg+AT9DXp2AULlQwEw+W2a3Lt2Oa0GiQyKAPMXBINe0gChxmI8rMipgrCQP8D1LNrXjPSTp/ICxJDkyhWeWui9Mp0HspKacXjdhw2oVfKkHrVJ5nIgX0x95zZEbVTrITP74JsFFnt2igc63qJhu1XTizvWT9WXlRs+18QS3qsGkkKZnZwmLHFRU/Bn1SDhQuGDDvkAv+ClT6fjvUTJlRecMFJai4BpG0CC7FYkoxQQOW4yzTBx11nNMJMYUIcgajK8vLxKXcWrkZXW4AOROLh4fsm9JF92YQBvReqeo5Zkcm7oSE+Mmg9Z1OnMm5HsfE0/JAWLNjRT6xbYfV4gQzhpk21TC4AkOV6WyOpe4ojFnt6QTDccCaeGKPQZbjiBM6J3Z9S3Wr0aJ7Qprw7gYkuCa94ryYXbZkoMzF75Y25mDYzjT/PWm5EWnh7egWuJKuPukHy9VxOh50p3E+bwzxisnNX994/+bpzzIV72HFEle63Z1jnoP07TezcMgSY6rfDmKaPBxOWNOXU4LM39ZVMgvducxkfovzrJZ4JbLNzjL6XU03n2xsebD2rM5l+Stot64dtABM2gy4DhtglcoV7YAVIElAQJtEZB/puhn58AuITSXcZNNkoK3vWWBVbYwFn+PXQzlI8lsrWMv5u/MMm6SsmQI7J+NgWE+pNwTZhOsYM8u6qvb7ovLESOdGnmY5H1ficHd32N4L6+cJcIZwFjtMDQM/mgYKpks2/Cay469CHPCaONbX9uWCNlccyPaBLyhJsXAHgCmWa8tlTG/BV/r+VyYws8XLyzV2g2hGDIn++EgxE5s1J0nYR7gWi1OV6TAharxoPZzSwuSbSST0hw8KyZmmH9hVQ2IFgXQ7RGzGbHypXnnTEWcrFTNUiiOvJwwZlh+sJMVNaa2RqorFzxwFWjkzAr2+rfNMZtBwvrYvlkU9UAWdNLfTaH6DM5PBLQ/1f3HiN1SesTa1bIatFYrB+mav19uZkJhGvW9PW4TdxzHo5iP4xcexmvaP1zizi5fX9E5Fg4PZM7Kyb2OMOC4Ol3xkp6pohWWoNuh3FNGSSnofkjWf5xMsSANZPVVIZZKMdcwJQ6UHBezCmhIfm6eEGvreNcm4NxLhCCpWIUwIDVOQ29PkyixIg0REnBrdiDqCER9/o/IwJuJl66fsu37/Rq4RCPxWTwhtzTvFJCFGcIXvXaEvOXRzzNe8eHIZgG6UNwMcsO1Y/a0+WeXsMK0m5c+VO0vaEp2ap0zL5ttqFM4RdwRX0arb6GkgyWGsJc96judgI2R9ERPFY/gOlGAi6n7Q5oPKpPaHn6b+0PeOca2YyAH3Qj4cBLiAp0vSiE5W5yKfqZQ3dPlabQ08xuO2Mn+5rTcnkAQnQvBNnNfGvRIv4mnXO6NduZVecIvAJt8enfIyHDlehqthIw8wHzAnhK9bay1fkQZ96L2lLYvm12+Hh+jbqunZ8wN6MRj5YVcWQH5XqpgL0qUom7U6js8PLGMi0r/nDW+FQdX2ByLaYc//hmTwPLSW7HFMA/DK/4ZGfsiIId7o9odROAyQDEIIrkKjqk0GpVs0Rphx0h3dglevCW2daN7cjYwmZooM7CrQLIRH004Hf5NREuBnVIS/Kbxlguh5ddXjGG7wB+IwoubXpZKFuoEPTy9ozfjhEHs9w6xPOfYksodrCMXCTKUW3+mNx6/M0NRogvSdtf6dUF1HQe7748laZ+B1cX/FXFDHsGq3+tG0zdPIgMbawy+NsOGbq0g73vfs+Ee4fMLm8OM7scfUxaACJ5vXMp7XXG4QgyJfvTN6qpIXz4hPuA+1JjajDBeK4u7a2O/T//3rMQ9KtL6xubO3Plrn4vV2JJc3sYxK/0gg9/pPXB58HJG28PH14YcfN55sb6tb2NGQoewXXJHE8R88tVvV36w86UYGezOfgg53QH6uP9vJw8ZICNKkdxZHuGixsGn+pay9/HtGOF5y1CqZ4FXSVQaBlj5BvRJAX3wITYf3P/wptAvCqButTqJUBqRENwL3tJS5gR6+Ne8IYvXJyc8wamh/NkwuVDqcdjlBEW6nEK3SAnEdTEjWHn7HeftbPq5bS6xMaRtjjXGf4zBccxDdsOCv8INSm4pzQjW56FXHGTUa+aFFJp1J7qpXWWiu+KoOhJblxwQhvA43XHLMz+W7atGWlsuFI2OW+eKbfsnppPyPOapnma/YSaJs6sIo8PkIXuibicpZtwJx6EU6tGY9iaahlyZC5lJxZUicC0IOoBi3KlEvun2qu6Dm/Rj3wTSYEkojWXTTCDdZUNtoTxrPjU5JWoyiQmrK20QRnpL0SUecaGAcFVIErSb+HHPCLaWiSHRji2pIGimJDNENJlWKGi6LD+FGZkZ76KZ0OEZRSzW7qEM+GImkjaA/WhR8AsWwraiMbESGbhiVFtQwQjKk4dIoC9My3zK1oKYJlvA9N3ICjan4hgU0pSInuCF0oTgaQkFNAiDog/xwhnU7ggEEAbgqaGABGKOiikkQemPwEgiwKPASZ8A7b35cwKW0NDMaYNkGwBu5t7S0BKso9iv27F8NLR/+utJ7893zl67nnQ+KWx2TI8gZLzyaxf/4br2qnnUSVjx8Isn+OjPc442GdonTd/lecABT/u1L22v9OPFWJ5OX8XXzRDQktH72EY8/49TF3OchXEevgvXgntw5z6/kHNZYZy9t5lVFn2zmu+oe2LpnOhZ2oOOhT3PU9X6q/LUgHWYmS42G7ZTUi0Odk0KNHP8h90ucLY2GLsQVRY2s96+xGJ8fN1nNw9doEBE+ntAoPbQDryF+O77piNCr4Ju7xIIqmnfNjsGOsP3N55VbTrngzESmXGruLHIRz+EMh5hQ9b+N0+sKh65U0oslftCastb9RDcmVZxUyIaWc/TLGXOZ+J+W5/EgqXYBzHH1lGUVcWuKjEPTO8tfUwYSTiBHOD8q0YHz1TJRdC+PqjpZEuiuq2aZJ2iJJSs1S1nfiJqvHEeGK3blOkGWHRdHIiGyl8LpMtfW3+Iry22Bz7QsJm4JwLEdBw6ojKNhWUIR054ElgBT3Xds+6rnepNJbPFZxF0TvkyuY2hPPnFN8lKzurXczGOZDd4hrlI1KI+6jK5zmch2tnE7gZVrIFPptfGfS0hllY3GesUs3pq97DEuRSZju2EzPHmG6AfPXYwrcJ/m3ID7dHN375lKyFIlMY0+LG4lptnc2dnd3Nl++iSVmIanrmJeGoax8UzBWExeGliP/56Wa7HuF6XH2ZwjP86fkO54Tv/BuaPKJomfVdqsvDQ2TuA8P+zTKJPkyXft4gw5CUYm9VenY2dnqeYKmJER4XNv+9auViUjQq1+onczO8VTlDrKvQ193PJUVDzK/exN54LQfbfzenv36e/Dz+23w4PWyeT3N7//cvMh7u09a2/f/Dp4e/C0v9ij3EIBSAqRczUWP2ws4y4C0U9ZBOXFxd1cI17tfb/9ZNsD0829EIwfNpdZXxTRVWu8lqKbAPvBC0LWFHzLMgAhM9L521hq9TU6ohtEVC0cGUAFWGwte8/wXvBYIT5M4iQt/5eHF7pIeLcX+yEoBTYeKnw7CLq0XfUjGP8OosE1DBfcklZWWXWWGV1R/zqvuDK0S/FK4E6NIYvNrWh0NyJRwVemAxby4c9yM+Wtecdy5yx1ka8GwcXZ11/4wnOi/GHAF9njLesA1Bi1As3+E8Yad7x4fKcAtJF+2GF9EJxy/XpdLvogkvRuqM8//I91RsIZvO3lKrGQMA+zXMH3hoB7Kk/5uQwKrkBhiwHV4YbEMyy6JsS9uzXv1zDCpIqioa5NGUMcUktT3VjClpg9aLhyqzj0M2XI974/6yFt3ZC6xSb3/XabFNKxmI1hZ/R44Qk1r62tBZPWMkiMdhHcixPFw6gb+6PeXTYLCTRqfwhZ5rqY0naWPe7w5ynuxNDXvazBhGcdDbnmeaQl2SMVY42+GATAF7Y90X0xg6UUTdLNWRTFxI3ApkaBuhyEdTfso62odbMqVx3HLgu2gDxd9t5Sr5lASKiAWR1drTDb8TpzlLDFSCYhEQdWoZnkNe8VLhGilkLlN5D7L/tt8/CTt+HdBX5ce7dI3MHn++eH3tnh4VlTdvCF+udtl3QtL7WqlZJ+hOtiLuqwWNT/k/kpmvwP85zNPK+u/ocVIOKVlzkMr0gPy2Gay/93WSIGoIT/qfuKKvI9AKvH5PBFAUeDRmvzpqL5cNnassO4rh5FSJqSMKoipfBRkxoHnqhQXTWsmbOUlLqtvW2DgqMaPrqA3LviKodabraVwycbm9sE52lKOeTeV1UOHRiLUQ6FgRepYBvb23MoYZgjW234Wyhh+SGnvPvhhwloU47ImyAYMd/WGswojEPm6jE4umaU8JiDX7LXDUEHvJFa8flnCZ9gZwJbjI2bLS0CwAZ3G/120CPeF4ErWgea3XKz52sz9TEaWD2C7+QoDpNjR0kXC0Ix+b3rkcPWxbyuBgS+Sc3sJ+KKSAgHe5nerCLloqgB/B3YMU3CJRwj/4LHTdJjE88jbhWHsCOVQFtklsBxcDOwq1XRiWH2vCdZNRqzKSlLJMWkAQ6edsSaaZe3c0ypfFhlunjNp7T6Czh1bfwtKc/V8P0iDb/X7P+2FT9tvt+9+fqxd/b7QtV4Oc11AGEFeyK6SNtyGCE7HeZtDdkW75J3Ldq84etB+viYfddCpO6hsEpHMzPsiSWvnJnjBioFy5tKc8zzPM1UoYpZcMvPceVwcy2vm+7kNeHoa3yrpn41AfmZ9iex9ZtE+n7YHRKR9IOOnQhj0qtba90GvJ40ygCuo/ZdAQbtAtj2frI/vpF1lewkSQk3ZmK3J3ZHq4BmKNv8X7NNmbIS8E5/a3eJobPXxW027/zBfJ06iCJ4Pl3wqrCkgQV0qxNOnHw7dmFJy5UaOCAReHLHEE0DdmFJAwvoGqIHD/rTa7dvurSk7epN/PYyjPsSRuu2Yr0oaWgBncxrfGa7lcD/TJryBOC+spPFtJF+UdLQAjp48m4/tere7Ze0WB3wb+/BoO2OucUljSyiW8Ekw00m92YmMi1Q7BPYpsgA9y6H487tvzJtLKBfRyZVpFVy334xoFaelpJ6UdLQAjr3wciKLgbWixIMKjWkd8sPSQtJSQnoBXTut+Z0RGSSmj1dWtJ2YRPFGK4nUoY8aRGoRLJycM638UBWXB8T4FE04tAHwn8YTG6j+EaQ4luqrdgrEkC/IPw3uWwaEYrDlpILTW/LxLccVI/PD3KyTCEa4Sa8DcO4xdi2+iGsgngcD6OIEIVxd/2nYdi6+ZFx/8fTg5+WeBYyCnqmGDGwFphKHeDfM9TTxAgv1JBSlhZsi59XRbJvRYY2ZOm2En/MKgYrudo23g1hfBz3/aG6IFRrSVUGpb6z4NF7Cb4D1Q3vqNG7VfwDfa5F4/VdSmfEF7jf+z66XxK0Z5kDitQ4iYtqNOZQzfSnVdQtCZrVaDWyypJU+OOPP66GP6yu/vEDaloc8DfvDwkbi7TM7/F7/snSuFVBic9U0lK/eOr53dh8pmRd+dCRWJMqWmS0gNuCX1JPnqVWWkiy8Hy3bwPS4oZddiKRt3bfJqprAhPbudrETSVstBYUe7tM6lgblVQ1201SR7N87w+ZpsvKbLPI+F7CmJdVIDXCFH/wLq+uZnE2E9q1AGZKrVsW34eIANvY3FzxtnezZv6N7Z3NvWem8VkRYNoQaBn5t55s7Gw/29jZShn5ZRatblY0+DO87R0FbzEGf3Cxe7LnGdfU/z09BqnxKrDuTsLtno1IFesu45K+pT7st/t34XASEHuH89DaglxLZqvIkvnl9fXF/kXn0+27395ujI8nC7VkssCxf3u74gEWvIbHXjt0cmriqKV3nBS0xa07ibzbmO/k8CxExHs38Id3HvGQNvsX+cKZcUS0Ha+Iy5ikr+mwTf38yWtG9GcF3r3emnfCg+VZo+WNJ9NOB1sq/SOQ9Nsx3MH6G3idEwyTYDNMwkomHq5QOnyBQxkm+OzzlITnjuzkWcwkx6j5WKCa51eQrjz+D1CRIDiA4uMNbdo2QmVmyRcBlQR/HxOkyZ870w55Gk1yqi7YGGk6uiETYgrgYmA2Iy3N0mHkuMqw1Z8S7ZHg1KFZoW1OJh6CHQcBmKn8PlhDVt4k8oUWPYKTMR3jlt8PVswrq9YomhAjFTqY3JlyFXhXqEPVHIzNzGCcK/FLJD4dcaKIWgvyes/XN6xmcMpt+oxB8kLyW8kh6hU7RGgYrE5H9ohgY2CMPAioYQenPmgx0ND4Q9kheJD1ATw+WkPYpwf9mI8R8aT8xrtL7ONIEoI6PliDm+nHfcZ2KzO2RGhfV2VguV/8M9NmLmj7/B52bwlx5rFEwMt1EOiTRyowSO2sEuu6grjoIW7tRY9vA6VzIEwEdyFr751SehY1ANuZAXir6MW7fHvwL2/UiyYSamInDZw5FG4jfqYRDpgy+7sh4mE0XPWH4UDo2zS+5snBEQPjOg30avrkif+EAMsPC7oUoAn5dR3Iv3ppyBO28ABSy7FMQWqbm+DAMWtzcqRzxWs78YM87TQ9GUQzrn5p7i2x/r4ftuUJMsIKLZE4QpQ8yzTE2cfqFK7W5sYTEqsQ1RWI9O6uqDXvA6E9IOWSNNNxhPOhOaFHVCjhQJPVWxLGZOdZSyOtUvOmkW7SF2oM79QwJyXibZbfhJka4htfVQw7qqe9QJX4beqWqqfivbB5asYFxLLkdh9i30l3CqvdROJVXObvsT13wiHkFCuMj1a4fvaIZq+972UDAg/wNdEso3M4Ut4PvoSgzRUQ+TBgtZw492g6wUwzlDXSeCXlp23xs9AVdNwy7gKbjyQ726KGbjczdBeyj+qF6w+94CtOApMM7JGAT9TQtyU/PatqlWWQq4BDlo3YOGAhALhP++Cn6AZrB4dGcdDyjodXVlGnzwLjhYiKZllYkWnY+LGiaJvTu6kkrZ3JfAQf+W3YDY9LXxG9DInmQISS/DDMRycAQACnEJXZ/MajKOwHsbX3ajMSLz7NumIRcjxJ9kMrPhr1OVnCKA5xmtyXy85VmyrKZAV3wvNJV+z/svy+E7YgOWKbiIFMsO2Q5tP+SR6Polj1GbIriQLXUSyjysd9vhK6zMsqp/DNaEXWweGN0cbO3Tqw+7j7kbr/sT0dDEJSlYVkwFLMIvA6nNdBBaRWCqMeFB5Rz2AlLaoPeNBwnt5qXW3mEj3KatHnKT6lPUkIyMq+W7hS5zC5ExlMh0iOQexFpctIIclDcquicxHyCpUDx9OJrQnWWmprtYKRtOlSPD/mq0zSKxEl5YJ6OUGtyUod5DdBwWwp4iObcvraWB2iEawVAZYBLJjBKiFAKuKY4fBnyTaPeFe1YYZD3im5hFNxwK7idUMilNYNusSWIT4fT88cZCvRU1gaiYXEyneQma38jmfcBhUoexz4cav30+cfOyQNxP/Y2v/H5jOlUvwTM/CPzT1e7/iLb3D8++M4/lEJH/hLe/3kxxh7ik9aTlI8+dHX8RZNWnmY0l8EsMdzIzuE8TVU6FO1LnHSFRRnfTggAZdW35292L84fJGiLtaovVP5XmRoCDbBF+SXA2iPKMdaSJle8O8Z3oDExn/EXJSNuaL6YOVg5UIDWuH2XO1enUj8i30o/z80zlSZ1jmcPK/iAf1JWc3wImd0H+tRffy3Hc3HOaMoxvp6Nix2ETUqmarEG4D/sVnJ+8NDThN4MBJ/UKOxgfBUbcr5Q2UVqWumuYId1zXPXD2iUtccc/UIh3MajU00OZfBhLogW1jWGnL1SFlBqOF7WT+uHpVZPagP6MKWGrWsXYJQ/JOMDsBjG3jMMA8QRo2Gj4pzqfiNxjV8jSxMLlaTf1ygwT92NPdGAxHUAuXvpqA3Gu0Etz9dD8f87yg6tNRNj+b7z9WHXXX3O+C1C7zup44asv0TVUqb2B9Gc7x6pDRG4lMPrik2FqMgzsgjlZU2K6iGy2k98DKtDxU1WEMbXC5V97Sz/CE0M733Nv6tVC7u1GW+5pKXJqaQQKpqWDnaVY5mxVoVHywl7BKdptFQegyxkOqqSxHV5fUirVQVZsB51ORCmj4kaFOMluOU7hsSsbO54j3dyUZEbG3ubG48rZEUR3vP7ZCIzWfbm9vPnm2kQiKyA8Hy++yQCAfeYkIi/n2UAVFf/28FZsypH7vWhhdvvdO3F8kUWaxMNkIeyuuAdu0pH1Fv9cG+8LonGf/Shl9bORX1NHsw64IlKiylsd6imWgAkzBA5isr0Zu92SKWj8iKRXqFjCCQPUN16iNTLm8iyI5GvJRWeaSSN2SrE9MfEne6RRZWiRlE/mKVw5BI1LI64yC4ZXLWeLHQh09Y0iWcWwGyimUbTJ/F4nhNd1r2jy4Oz70Pb995zXfPT44v8PPce3N8+lry4KTGO3UwLgcgBG2UiMkOEhV/KI9qVk2fDvj5FdSfi8jbJ4LoDj3k9vSOsGVYnVeUMETGAy2WZjSdOJBctrzf5BJMnZjVGZFIn3tbHNFbJxKp0bj/OtB5VCsT90zCBrQiKpaWZpDs1SOQKsm6s0gUmCO+rdEoITzJ9Mx5ZEFNDRBRQw3E1aMZJAPDQH1SkaDGTIwY51i3zFYVj7ie7q2+GO/d3byPn0yeRG+/LDQwrLeDXy+KbmtXuAGltXCyvrW5Pfo2la9BMG9oMUDFPKddh9eA+EvWy4Fs7H39qgzaR9OYU4Y8tb7+g2/CkIz0GP1XiJX9lVpI3d+dATvci9Sxm33Se/opoE0WH5HfIw9KVnLj9vOEzqcXsQ9ljH65pnuS0wpM/GrE5DvbswR16vrpfBiR+GshZaaQHv759vyf1rumaI9j+mm7IWYgvYTcOD9uCO4G/KLQt/DjyPF/bD5JEKHfPOG1hzh1IrQMQU03m9fj28899TmJUGtrwuqNK0LWSLJNbeLp8l/fsz4mcUyzb0Cr4YeRcTIZ7wU1zmtkiRfvj18fWx3ln9U8P2bB3LWulfPz4N35+eHphXfx6vDkMNX9alAL+oHJ5kTBsi7PD14d/3rYXGQL1kjJRQcbax+JNEjZbJF8v6UOL54fNmlHOJiz6X7otizMSUFeP3n76zHNzZvji/mGLpmQJ5Pb+E6gnh6+984P3xzuN4tQ5t9pUlMk6h6Tl2uYcV8JDp00k2MDIpPJ23q0u44Y92lwFPb13ZamwGBbiSjpyyPswSYMRh7zO10ChTT1Tj/8+py4wttOAswprY/aAYLkcfzEnvFseX3AGCncfWEdHTZF9cExGrCpBPGZffg0VV4f8EE4DJpOlFJSUh/Ya5rY5sSPJ7BkKnBWmQFow+PfabLMp/NdPL1rHnrNs7fHb0ggvNh/KatHXs0kcjiQ+wHNAQxhnUiLpyNa9RA/heGsQHYloScY8rkhtiAnuXWD/hgeJN5vg/FnmF+UgXCqzmeJBZnBBSTetn+AdYwGwHvvQ/RWW/W/vl+yE/p9iNq+1w1I/H1BQ9XzfoUA6Y3ioDskedjUcxJNlo1comulmVGGy7ai+OYujgb+MJJJS01THR0ocdQyXULOEzupkS7EovF3cMgzcma/NSjC53Dif4Krle1/3pm6HCQz9jNGYw4Ht7CbgtOKpAnZgvxlWkJPzJSuOL9M8vplIohnK7G4vlwmll8qeTvnW8jk+NZI35daDC6xmhaLiinZ2xEKXYFwWQt/l5bsWr3Ne0nXJWgpqdpgV5pNPotXkdicFplLULDaFnk3M28iEyvr+NJSIuxecVZ/79ISRlkQnYm+fX8T8yAG40idGSREPmUkpLqWHme1pmVO69NE/Jv17Sxp0oZpC34J3HxR0frMluyyfWYRUBL+qxs/6E+O6KagrRu5y4wrZAkRqawSRxBy6qZkGRdOIpM4xSmxwgWn5QOn1N763c4tLaV3bPnqL9qL0fTVVdGOfPWofCfmUA8xSqkr1PJIzdpSC90/akO4r69nc2/F29rK+nqePtnde7a3aRqf5evR9knL18P5Kbf2dtIXIKiVxPvXTAePC2QxDh6zdVfZtkXkWKAThQjQtuT+fXwoz51s/MgLLEliJZ7Ib7OHtpJQCO9vcCfMsuN/XppErY9bypQQDdvT1mT95ZRGsY+7FI3AeDX0ukmxt5oKtYKlWeUNpv8bofbEDzl4gx1mxsKdObBny19XrhaS8RydvW1eeIcvji/enh/vvzn+/fCF9/bc+3X/5btD7+L4grY3CavN9xBVke5m2ftDWmlWtSr2/krzh7vcUhNQzIly53G5zjRdPSqfnqtHmIzEU1Fh3POt54KpJRNXvALi5M3t8NXg9tdnb+L9T932h87L3zZv3zW/3L37evju7uxJO/jyITo8+vDp15PFGtZV7kieC0uPSC0L1wWW9Tme+y3a3xBi0RuGLYTWfOXrsXFL3CAa9aLrsOWN+9N4TDLEwI9vOP4RDmrwF4kW6YM0EMjIqaRzF3gi+PV3NzaUyfccnyHSZ80sYP6V9UKquyjVbZAcFdhXASWIltIeIwl2LIpgyUVMXe608e2VP/6mMsl9L84bRELpmCN1VrcMR+4OiLesmYP27+Pfm9IMSVySDR6ELcE3qVMpEqGTRL62aH/C6LfUpJs1JNjNdKa+R0xTO0LYUIdoXLxJcgLdpRNmQ1x7wiiBsiTquuHxXYUS0XUd+XF7Hfew8EWEsQx2Xv/BGLDcok5n4HdDyekx7PXXEQEWcDivOpgD1xzNl87dKQPx3B8r7jDwqWEEzskjdZ/2UQ4R5fDWOLr2r0PwBaFDl11LJ3+ZYnbhg8tbIml7Bsqyy+ZlMJHRW4eUigkEtVwH3RC7qwjGuR/mDU4ecaCe2RuyLJcxT20eZdTptJsw5uso9wQdencR+APxUa6/ibrRvdpL9fP14evN7V+kYVxe1+r56fRj9QDai/dNdOsdKH7AQWD3gzx+Ow1GAvmFH1IR7golwrvoYUO8H3AaB3/7mQBHaqGFACUiejU8EqAK11fidr8X2L2dg83bUMA2deAYxrcEquJBmXL5bZTN+VbL/l5369PvghHc5UywBqj3PQrfBH53qr1o+VializyBsOjEv096bBTiE+ZdVcRdVpwftgzSW3xUAklB0I/VG5E9VAfgo3CHBi8pnUV4s4Iv//qTQLJKa0Nc2jhNJwDJxhzg24g/CyB5JTWhvmuaXUPDwaC7CpVQOy/EtnXAqSLaiME2uYbQ30DziorgVe+BvErh+ovcJX3/KTe8YkWxnepKXFKSzDOhymf3fpd26NlF9aGKHNBEgOnyzNAU+W14QpSXeLnyLafwlUXzwl1PPEtTK2y2vBevXxhevxSjlXW+f701ZuPbSTTS6AkJSWw5qLGM5IbScLij+Yhx8D/aDMZeSxBMh+KDDZk2CwFqtI5YXYjHxftpClFSueESY9pgCgqgTbX1ByRBhaJR36emRHEOgwkha0UluBbBrGF28tTALlsTnifaHJpoaUgqtI5YZJCF3aNI90unBMieHaaMDUbrwWNRko+N9CSotrQvsB4k9mfndLaMC/CwasonuCgnwZoimpDI27AB00TWLqgNiRFaWHc6gdEHepAe86LEsiz12HSYkogvnv66uJIqY+vuEEjDnsn0/4knLtZBe5cO6oqLvEUgid7p+8PVXQn6hmWoXdd5MOVu3y9A5jx4VJllBaked49Pd47PP//2HsT5rZxpGH4r3DHtTVjry9JtmPnra15fNuJr7GcZDLOrj9KoiTGFKmQlBWlXPPbvz4AAjxFSnI28zy7s0lEHI1GA2g0uhuNLAzgyEvHeJiXniGQ+WA/MslmbX2DdsVmCF0ZiOkVb5ULBFxgrqYSHd256XQGN7G5sH+5X3FGC5idcBDSk94MLv4c5p0Fp6xLPLpaRhONGzM1oR23774KLoHbvuVjFOSq4k0C6PH7s8E3cXSVtHBNZxLYcEg8sdyx3X6EA54f2OWOiXntwHH+4mib27kb40Vq37iwizUQxcvuxHbCmbVJT4ePb2/FMeYKL5tWlHlSvXtz4L+S4GBYJiLUy6wAH53j20vJruxe30EdbRGtpoN8Zf4xPBJdXphCZf9u8jQeRx1fGNydm/Zj5x3DXaBS6duZ2d4X0q5mnLx2ner7bHxnJCV8AYziuZyEzVvibLJfpNymj6TGlpNZq3slzu4Z6u0YQgkibp5/+HKzxWgBA2LjfwKhbENgHsTa9uHBtvBKbLb7VmeUWj7VAH69uaw3xBtMxHgL8YuooWnIMggzV5zYD5bQBk4NExvr15IwByXQ/y+QvwqQBYf31ZnEjUl24SOboz6oQiJ0GGdTu1rQLQ3NMpED9QZN1+xb9qAzihzG54XY9iYU32YxwEynZ/qTrmNGXHlekFZn4IHM67IT0mJgOl5guj3LsQJ8lmFBQAHkZy+wgj4aoRcDsm26pQa6ekTMWCuWG/qmo5+AsQhP2EPOpFYWM4X75rhEl0qBanuO55sdz3wyHdOFXWsxYDumgw4Nobmo+Ta2nZjGYl54Q9gh0Q9sQegFoeON7KDljBa1aMe269pDq/fZkurgAoiVokTOJQEcm/+VAP4LZEYgLyhGDKzQ94aeY4Mor0owu73U8qjlxXBh2FoWtdiRb3w2gbuVWOulAHasJ1s+2DkvLNcaTzz/0caXXNDJYDFQfRQfFgWs6yiTzbywhpbbG9lS7zwvtLY5nA5pPuFjP8Qnduw2K75UGZ7lMpfaWczEb3kBSJMtf3FUCkw4sS4IVgdXux3C/o5e+QsC2gUpye6YQyBlf2EzrW+2FgTJC0NzbAaWu0CRJjQHQ7NlThxU2qFn7mLAOpYp7ZYFoCoJNLmKlOhKTM3da+99+okjmkD+u+a+AbODXRzrm7Vt44M3sJTSO4Bv3+kYh31IQQtF3x4aawZH+gg9dD3FEJIuxXhixR6/qscdE9cCZGRBVP0l+lrBCTy6uMfi72t2y8QLeehpgN6YFt4i4SsI+bcexd2Ol7/0mHwpDOO4CQ0lOvO6dGGTLuJkdwTozD1dr0qpGS5Drq+vIxY9ulCSxIRiY6XvSKLvofLI1ryxcT6uGC/gbn2v/KhT173Y3RqjwxqLcaG+z/SNjtrVlNDBtxa1G7lF3+f4O6cqsxvscgXvZ6Qt0j7bvxlzlS/zz6V8mO+VG3LscsM0H+bl2VyVZQc012TiXzB3AdupzsZQ5n5lJe0kvLKSR1xZJ8PTFyvh/kPLrOWFoqx01E1BZG9eUSrlfZsqHk0NLJ7lUpuuQT64ooZufkmVZIdaUTLu/Joqy36yomzMozVVlH1faTbrTqtYcarjaQoYu61yuysryK3STqYYM8vA/63g1UbyHNW/0Q9U/45nx500tQx0gtI+446TWgY6PBrxhMiXUUvVfRK1zrDvYLwHcYdALYNThFefls7NKd+8VJXIvS6Vwy5yOqzTI/1TOa5pSAsXszjWwm8s1YL0AUtlSEeuVIaP3lhac+w2FbUWLyxMYllZ7NeUlSM9lLLyhKdRVha5DCUylPdPPCPuyBPP0xxy4hmRBVEm671RfjKUC8uJxz3ptpJaQ+zpQgtS1NA8UwSolZUip5IMzsjeKbgwJYA8n5CMyuxYolfmqSZcOwRPVc4gqqSAi94ZKajsxaHKHlEc8pTLRVQv8tRQVXQvihR8drdI45LjHZGqz54Vqn7M6yFVmv0jaNQixwZRkf0TUjXYhUHBl34HqYLsnKB1JPInSBVltwNVtHBDYYeCGAKF5dlXQJWfsrOxC4A2vnF7fao82/ZVeZLpaGbJdUbUTbESFi6ucDvgYDBs0E7BZ7P3MpcSRupUIbZky0JoeE4VYds0FRENxzZOEMdAnH6+/9cvS7Xl8v/QExH0RsSUvwCxFWEa5HWXMCMSwI24sU+mCXNd9Kkb3GRi3GQmUxNGL5kcM1spsGR4WkZMhQWIMY3ZimRpsugoBBM2GZmhWVVkkrKLyJTIshGhp9kmVDVlXaBBRL1+fCzK/1N61KKh0zWyTBVdf6uRUGGsqUgjcpCSU34l1ZQyXSga5SerCiNiCWWfanLIQybVZoxdXMUWoaTpwWQaa7IUhjFdlMIhpk2SyagPkr/jGh2ZmtLJyAzSqvCCzVA+RKs3rhAxchUhP8+hAMkNR5GIRg7Ew5Llo1NIjUUiPEVte3vVqG1mBCOv7W3VX1V4nl3ep9fjU9TqjZ293d2tRHwKXnJl41MgkJ26ALKY+BSL07Kw4ugvFbsiQbS88AjeVuVwyIRLImyA2zI11VE8ZkA3L2ZAp3PWufSd0WGz0TlqHTYXGxighr94OZFijBPmMPDipiQj6hHEHNvfdy03t7kwCT1m1WqZHLOC1FRCbyt0L/RuFTWarZ2GJmCPDoB/A6zGp5+M3BZnV2r/bxnE/5b7PuVecLHUvXqvti2upYpzHbWSuzqmwpSnWck4RSwZXJS/ohI1/Gdtc3NJ3vBK+UvP2JybCF2TaM4VLuDueDHN+YPC5nzhFO0n/aBnbC4MC5sLhUEuTN7enLE5v1XYnC+CNfitxTQ3yO9dHZobiN4NFtS7Xn5z2LueaK63oOYGxVNlIKbKYEFTxc1Yd0vSmJ+6XzdjI30n3YjWJ3lfN3VRd8bmzGISmoKE5oJIGIwKmwvEJbhgVNDcCwkECsYC9of5EU9e3sC0cvecFIHVOGiknHIDBYHgu2AhqyxpnK4O9h9uCarmDfA/emr1djY2lvavrq7fXR0eJ6vHAyVtNOq1p83PYiM9hmPaddf4CMcx48ZzkqtgUY0KUqbCtuF8jSLCdtBI9w98OLJl+v+gdwH/EVgOh2iLAo/hn3gY2FhW6nUF/KO9PE2WQAPfq4RGSvVW3ZQ8eHtF5VSK8apBHVUpl+d8EUgrs7eTGoH22P4qRZnzq/1y0UwUyMMLDtCvI7KbQOTgupksU6slXpBATLywNQ8mZ/vJVl5xIyrl6PguWaZWS9OksxV0BCabr+vbxtbdWUVkmvuHyYa2NlPIpMZwK02Vzk4UUGX7daNh1K/KRa5QUK/fpnCJFzgXIBMFYlhYjVBgsfN6c9O4uayIxP5dajLGC3zYT02SFBItW5JiNiSurm+y2lCfZ9fvkgVeaS1Ng39z9nuyerxAM93JKvCPxKLIhX+RLrD3upEJv9SFwrrEIck+gVuuof6MlZzrfcv3HkfmcEjMlIcIQ5trliNqRg1V/HkXvpJ351tPnm9g3GR82hafyq3VN2rbpNBr7AzDYGPPbwUb9SB0UNHKXkF9yzgzJ2N0aTkxoX6w5lhBYCRmz7s78WqJwsN4Y377ZgzNgHWC8fI317ep8geO+Q2OesAyamu1zW3ux+IuE955w4RjhRbNbRGiS0abtUS3/Y12326bPa81cpxAPSDbqLe+7YlQXGiEPTSfAgzZbLgwDN5T9GL4AVYzcDLBCPpe6kprrtA0FdN6ClMYct+G8daxbD9+FbLRnY1hXMeeg6/3Civta+P60ZysGs3QGvaNw5HvT9bX18cW9QQkAXqEum3i+8TUm8v3N+sL6wBvz3oHBo9WC21iegc6bVfE3kMyX9rO2Bw9WkhYKMjvaLYdG41gPPV3YCoFFgX0pu/oPsoiUN5KoQzrPhiiq55Oc2u7HqE8MVoOWqUwcC6vK9O3xIv0oeeinUbzKkUWsk5PxWmJY3xgD2uG0O+gb/shzigPn8Z9hNKnntFEFOAHxxNeRE+3Uz1lY1bbckK7He+uIy8lXFgHPr7L/Xbi29aqcYHrAI0Nb26NJpx7+vRWuPRdC72OyYGVVdfLoj/tRJF4tCUjRHPzbv/q6PxKPN2S3D9Gqgb/JJ+dDS1d/s4pL83MFatdkAmBGVxGLfot/F3F2FXnr/q59cNxk+W/WRSKc5Y73v8Obc+9MyShq5lyd7zPQoRK4kbKqQv4psWHDZZPtHsXleqfHsxY/S/VjzKsS4e7YiS38dPmB22GZHOYHGA722s1Fm1KFN5c3yxbNI0kHAlmRnJzrbZXtnAWktVJnJQ/Lo8vZ8V+e2utvlO2cK2WgX5O2TSWcDyfGcvaWn23bOG9DCSr0jgpIF3sH86M+8tROInlXfqgUBbY1u5ao162cK2+nl6WVUm8YiRFuoxzTqqVHGA4QUovwtpWeSIncTw8O58Vx+9P4qQkCUf+WZF/sVmcxPHD7Dhuba81tsoWrm1n4FiVwEl13dm1iChVHfntRjUCp2dHTtkkjpfnM291jb21rTTRcgrXsyZBVQIndZBH+zMjj8uvVrZwbac8gZM4HlzPPIMbr9a2SrOIemMBBGb9uEL+6lqELayO/FZjrVF6BtcrzOAkjgdvr2bF8fsTOI769duZ5YgXI28cw/MrEZm6OoaNnbWtRtnC9axNeD7i3pyJgGwzoA6crTRzqO9koJ5TNo7h5XlK81sWUGN7bav0kNa3M4Z/PuJmKK1TLeQAwkVXfl7szkrcw7PZMWysbZVfW68yMJyPuEfHM3O0+t7adhqdnMKNrHmRUzaJ4d2sGDY217ZKy+aNRZyQ46g3Zz+71V+tbZfeLhqvZiXutQwUOwOG22vbpVvNHP75iHsxu0BWr61tlz7UbzUyUM8pG8fwZvYTW213baf08G8t4sQWR/3yfGa2UNtZ2yl9FtrKUpnklI1jePXx7ffBcGsacRdglzg8Oz56l/Ihoc95Nf/KunNkhmxrydGpq5L7Y5NjBk8tiW91lyt5Zw8s45fjOw61PbX4lRkad+9TZROEr67a1zo59NeNWuEiy4tXU/EYkAem4nlYM6Jq3hJTC6dKleEMBdVzS2nyUDV9ax6YisfZvxB9qsmLeWAqSkY6fZQ3zNTCqVIvT5+KclMemIqyrQKz/YPPn4pn+TwwFQ/cCozudza1cKrUy9Onok0tD0xFhfBfhz4VVW15YCrqnBUY3dtvauEE6gf7d++ntvryJKyo8ckDU9EuMgcJvzN9KqrL88BUPOQpMLrD59TC8TZfYoqxsFmoispDZ+ZVFgczs8zxw8+0WaWgBH1mlVl/dPrMfMqIg6mozPjr0KeiIiEPzMwyx6uqnOo706ei30EemJnPzD86fSqqUPPAVDTQ/HXosyBhs6JGUoHZ/cH5T0XfozwwM58JK9NHG9oXkJRS1XNLaSLArFJiHExFQ6MCs1eVhN+ZPjNL0XEwM6tlaps/OIEqurHmganocBwjUEUm/gMuwlm1bXEwFf1d56FhPoEqmnRmMMskDVt5FpH/lvtvuanlEnO3ulVMh35rORSrXAXuZKjZKyqJl1rIdE3O8UZuT7wepqcQyKmLuwg449Y23fDzaCAuC6aS529GBMtumcGjFbaiqAVZOfM3FoRmxwa0PV+9D6+lzd8A0F++aCu/5gcKG1BdvXhOX/MDzSD4IiktApO3Yg3oifM3odANbfnaTyp5/mYCmBnyKmb0OT9YGMaM5+xjqQtp5BRjuWvg8Xt+wB8AUgQVP+YHedg3fZs2+oPoPa5UckEzleSLKYFwoN2B+WT5dvSGpYyJoNrOjqKgg+hYLsBwR71e1CEZjKMKGHkBnSGACFwZgo8X5SUKMvhEFQCO2Xbs4TB6gulCxB2pBuNRq1+dmgNrMOzbQc+3v32jxwAIEhwsKkMKtTv7Asp59WFxPcccWo4NW6GAcnVdGUjYH2HUZK4vI6hUARCMZOs3Z9Wb9+1h2w7F42U317eVAWiv0MpYNFWqy3v+EkJlAKPQ7H82v31jAO/uqkMAFMTopZjY9MomBag2tYdhZQCaKlBiMQAYjIxlVAVMz3OjRS4DN1Wp3wZO63hhaPVBFIogyXhH1SCp4B4Synl1KI71ZGFU8bb5JMEIF74qYEQw8KGNRBZwZICmKnCGZjviXzKUUZX6cGgQR+PL8+oklUE8JITqs8ydPLpqP7v6+LYyBM/H0fDoiSaGcn1bHY/A/hrR8WaGaRF6Pr4R4JtD9eje3Qysa2wGfeBeMCnG9jd6/oVAyQBR2aDi4YymPIwWPXcGrIXDfee/EydjmH+Hh+Icxwix54EBeBlKXF6nPgl32DL9q/7wmyiVfNyNQ2p/8j/5z/g/+Of12uu5/wCY+1hoaX6vIBaAevk5ajX63wKbF1F7oWERzHf5+V57rWRqHF4o7o6j4lPj6EJxf6BeHSiOzOkPoHio3uSaGscWobcU9GlxaKH4QEGfGkcWivdU8alxYBG66urUOK5ISEX3nDisUKivnsqZGkcVipsKhalxUKF4MIqKT41jKmcm/MEnPPgn/oerb8W4jz0uwWCWE5n5UTiNRPRNvaYW4nLZuE+Gy4R8EU4zv04s4mSE5yJCYeaEwUyFwKTwlwJBAx8HA3loZQVjV66swN4JP/d2jHsK/0gdouiUy5/ks4ArKyBoYPldrHrdhJ8YSVKvgEEkYxXO9rHCK/gJwgVVgBZkWEeqQ+Ee9TogMUPBrU2qg/htQRsy+iJXwaiMehU4IqzgvyCAwL/3wg+Sy2LsRL0siKJUFna0VFkMcaiXvbq+obJwOMRucFEt/+bsd8pvEqx0PhyPKf+C/hW+YXDY9peW7hMR+tQqLArut4xTfWlpabHB+nCqwiFhORGTD5Ph9LOcDL1HC8795D7nxcx7hjx6YQf+rRn3GEutdMg62o2KwuAtI9Q6QF1QiDlqMC+aHTXW4C7MFg6OwOfFmiPwWwS+ROi2n/WQbT9XCtUm9/jM8HGExbZxXz2imsCIoBeGbMMmPvlr+OASTB5YMDIiGiyLf/8b/8ggZvBTBCYjRo9Bw0D4wPhdKIPwvEJJouhvKLaygqGmVlaeVz5sXMDfpwcrmWlQ9NMnjI6Ek/20+WH52aAYTMazsbm+qeUB28A8DH3EeYasW6f8y+NLyKegIZCP8UC0TOCbmIkxfSBzT1RuUN7F/mFWRc4ECR4yKY4KZtbXt6Nmt6L1yZARLYzzgvMJmzw7z6q5TZnAr5JtcsYHyqCwIpixLTDdoUzgglgLw3ZwrW2RAXsHZFCsDMjAMBhU6xVlAg8UiNSw1g7U4gzYQbAWxifAWg1Ra5cygfNiLYwAwCC3RQZsWVm1MAt2gUQdg9JhV8AqeFcf07e0KsDABeaIHF5z5ypwFsV0vIGO6duCepiFjJIRIGi7sgpsdZiO96ox/ZXWCmxjkEX3lg2EKhGDLRGr4G1hTJeTikcI+0K3cTHrlawCR0tMxzuwEShR5YIITXdMDSSDrHJDM4FudmK6nAncTUSM7iViFk1Mov7Ht3r6FldhQUtbxOL64MoKLVW85/eMV/ie8Xbec3Tx7pnv1GGbGQ+wRRuFuBdH7eMgQ8OMIvRKXKwiWc99ZnLDkhJFaCJlFYEREUWI0uL6kV4EyRwVAVqIGzh6EZxVoghNJCEw6EWQN4gitIAyiuB8FkVoGQlZgfPQk4IEW1EYZ6UoTCtVFtaK4KoSRWjchWyRgiccwCkdGxZ1aLJmgQU6ySLIszKK4ICIIjSzMorg9BFFiG0KV8H42JxHw4crOqMITvVoEhC6qSIaVWkqC58yvQgJMFyE+IMsQtWThNeoSstcOFjp8JDa0dgAPOljFCMR7AWiDG0p0kUkp9HjaLLTXhCVpjJqwcWP45ibOlzP+gdApc3vzywysOEcPzhd2rgxJWWLxkTNcixAjMf4gyy0+CNeXLd+xnPRUEkAybYoQCg7oEhAyx3+RHMb/hu3jMUhnl4KjOgkFTwbSFd8B5XOL5p1a5mTj68oOWax4iwYV8qSgiOnwgqjVGFZ4kQYVEpU1iKZzo2yBYjTYOYwIgmrjsg9Z3x0Sw3nXF1Thm584QyY81yFLSqceHPGxdFKIlKubxlxtnxwYlMgzs+LiiRuR0iSnAhLhVKl1UGgdBCV5QRgBZSgWwc4Bxg45cRESJH1lrvMWnxOA+ZFaUnNvMw9F7nqDCFyLo45R9egcxbwPcqKa8U575xOnVLTzWnAkCgNtdcyRUwhIeoLInx8y0QQWmZOBc5GqbrmmHNuBPKsDea0OzE2cQ0v58F2Q3kprW3+u5cX8IWZ5Z+6DP1RxkuX2/VV49Ve+p3L+s6rrfq2aj32zuVPd/i04WripUvxNKL+0mV9exf+bDYSL12icoQUqNOfuYxBWNAzl7k6YtZj/6WerZxRT44/VKiIfTgT4vyBc1vP7hp2YJjGsD8JYOk5BpwSrYGHmfABZ8chLCk8d4M4CAXbMI9HPh+WTao9hhXbNybiiI6zFvNURc8IQLAERoCQ8SeNBT4iiofgc/ShADbA+vqiaBb8asDl/ttjo/nu9ti4O9u/Mz5ev7s1Ts9PjPOmcX1l7MP/b25ur98fHxln1807DnYef28ggx63rGeB7vl4Yjf6cFI3fsHzMtDJWX49FTf6+OiNfKLIYBSEBtB3BHNsYuCToSZQBLtuoHIPX9WV9Cfdho/vsIqpxA8KGX0zQJ1Ly4JdkYk17gPhLJ+Iho0gwXl+8PjFRhQwd71w3Xg3fPJCa6PjjV38gXkBAHU8eq4+Ea4OtgIqjoV4+sSSqNdkSCL1gtAc9TynMw0slokBlQkK5Lpx3hXzCXdretkXJpmJSpRVA9oZmBNU//gwNZ+szrpxCNtvB9KwYNR2uuk2F4taFt96w1eeYTqt0SDAcUGsVo0AaO4IanmuMxGjhNi5ltUJxOvFHdu32iEMMU56wPYX4HiGRY+mIxnWofwywe95+Jayb6BwBYMS4BO69LgyQvVh50e5x+hTVxybei50UUKHjJUnWBi7a4xt4GjQvjkKYRcKcdUCEhFpznlyjGG7NrqOafuk+aHq99eHwPoxl+bocBRSkmyN5t66cSS00Rh0P6SGgGm2JgbPOoEEDZNokxoARmmizCH7hgDJLBUzxWnr5QC6h49MAzFRZ0pjF19k+kjK+Y2DskGvEm8I4vDg0jLKfBdKi9zfsro4FLxuUClW2Uw45b3gcHvS0IuVeS94ZeVH5McrKzhYS0tLFTku1lpZmcZRGfpfj2PGOOI0PqhxukXxN8XC/su4MhnXz4tgWDg3k9xpZeVeYzEkvuezpOWVlQxeQ9Je4mFwHYbmYxB/IdzMeyHc/N30L/dPupOrL3vbvbWrxb4QTmLTrUDwV+KOGaLUQplXfA9YECtL7ALp7Uj0NHqxO95LL+Ve+wPyrSvPXZMZzJhMILnXs60gWnZyoVEf0z5FzPpWDcn7gC+5Le9rNpczYWpDw8CBHG+MnAwKJdsxbhzLDCS74aWo999LiWtlBVDodbJqGSEzp+OC7wga80SUU1QsXzTwdUPLxZbh1K4lQ9fg+OhMMrk4Q46EKR+zRsikuZVVOKRPkA5tnDGjIVAQL/FgK3bPxiVDc+TTqL5Z2zKBhY8hExh8Xkcy6I27haE2kgyalxCRE7tRcuxx9boT5KmDPMzOYXN5sjuwTtTmRHOGFnW0HwF6YtbnAUpuSjnFPsqdAgQxJKg5HPre0LfNkLcruVvhxjpW20xBwxcWDK8FI/yI/AuZFxDbfy03LUqnLQl7FW1jlHKCexnvXj3PdU22QWNfzR5PtKBvZ2xoq8gg7aBtMe9N43QndywaErV/GcYRSFk8m2zs6yMToTNyQsyMyfcw92BHwjHEHUyudKCIR1woiDTLeZR5a1lDhEKWY6MN4+xAI8aN5QfE9s0wNNuPIJ34ZtsOBqtGy+55MPFXYSQG3rDvtWxz1bDCNq43nFeh56BmR+cqwPMBd94nQPSG4k+wGAVzRK7/SL+QDJ9x2D97uLPnYQyTCLYQG1ohWnnUKgkJMpmmRHvk+9AndNQYB0gRWNU2khcFIVESxxBt+oANbO3tUcCr20WxBhlDqnIOSgIJy+2ZPXKzgMGDva+Puj6s3QKOAJIBNC4GSNCK5ZuI1P5gkm5hQ+5gsd1OSm9nuKap2ALfZUQKQZ2gZLjPVKm57yjmXBgWAhWIVyN2I+My9E1NqWNjzq2fAsDoooaOYS3Yd2F6aI9Oy5SCJqpfuU52Cpse2O76KBC9go9R0SWj0pBhMSDXJoL1gOtb/mRjACxjfdgXdylFiYLG5u/fECTKwBxbrfWe5+EuqMaPswpaL90IEhF60oJ9VIMvUgoamL97ouXAG+kvwoqUgpZLNzD0Bt31wJIk468CwAvrUgtmSpyWNjeQ3W458HKxDZ1RkJ4QnIBaGBTKgQ8XtDd/P4OWa5KMrxCQSQXtlgbPszvdyamzfv6esZ8rHyvQDso8gMvH0guwKN1YEJrrQV9Ab9JHAdj5OwcbnGd21jtySUTfBa2WBj72/M4QxJZgHVijaCBKK2hg/m7pY0ZseyQORfIof3p+gokFSJRuC4UmssprvYzSChqYv5c9e9ifxNgKfBe0WA4wchVSr7T9kZqLMuWF5yOxy+6kbWqSg/ouaLp0C7FpEbWRTC1oqdK9ZJYnT/Z/MyJf9tTpM6ZDo6ssttuxvjJiH87fJq9UZSigzuAE1/GMcz6DmWWbWMKfDyCdP3S8B/sBKz+YD3gCbJzIKdXlk5dqPm3F+IDnt44HZ7D7Sg2jG/AD1ntY3z7w2uvbRw8Dy3Sjxq+1C6j/MjCLccnCAJXr8gRYEQmo+gBVH6Dqg4eeA7bpPMg6SI2HIR7eFFqiTFwLRWWm04rPyjElEFoIsnSyeIJinWwgz7hjC45HbaiPJyQ693lSZyMP71n6DdaDTbD/3IV4mkJ6PQfrpjgTvjbuP2I76AxBztz/+jTa3Nzr/IKuTlhimc+qeOJDZY4ZJHARxRiLOCiFBdXJUk+e+J7bWfhB7RqwODg54WuCP845DfV3MWVe8eGiFMDSEyEFfg7WvlFaqZlqtRRwZFvAHABUBFwlFQCfr0tno4Hp3uiBZ6KUgjZLgeYNTxt5/i4AO19XniyfDFFRgzKhoMVSgPUhecmxgHPGyI9PL5VU0Gou8Hwb/Jnd6/82glrh5FRvL5GeaLTg0fD5en7csdGutu92LkzYAUSpjIxZqBBfZGG4WQtUh2VCAeD5unZg9y5H/rBf34naVEkFrZYCToYxvhQUG8ZEekEz83XuEtiTapW+CtoqBRJOi37oWJ1DnXXoiQUNzNeZeVou18DJB+SrsQWupRWAn69jVmfUJhWG6cTaTqQXtF+qGZhpB7CaHBX2LUopAD1f1+AADHN880TFoEgkFrRcqgEgkC53R20k0guama+DJ3Y3nNBfUdMqqaDVUsB5R+5YQ09xXC2tAPx8nRoEQ9N2wxbNDY0Xx5ILWi/VSMcM+m1zEBs1La0A/HyduzTdD3bYh83q0utY4mCeTi9ov1QzR6NWy+rAVG9GLaikAuDzde6uDzw+ttVEKQVt5oIGMmQ0gleuN7tj6Q+opyQaUfUX2EeYHU9qOcDHLD3TAdLF4qHlDZ24cJdIL2gmcTgro6y5ZptvOOqywBo/aWYHmmMlBFq7TdewzGBijE0y5Qdo5kYTLtq5EddfDePOn8RPxZru67PddeyWptN7Qwmqh4bnk8dEFgCAP7DWbU9Uhbl1KfwkFHEIU/qVNsBGPckE7nnrPWdjePDxfU3Mr/e2NSY3OHHjAogGu2KAd2DY63xas1H0HUH/rbzGY+o5FXRCzRqtKYYiGpjiyhpF9JF6YXTr5CsdBbF9xLWS7xDaJ65ims+vbJGeZEI3U4bE1YMK/XTXN93HwNgY0SEDFvvobwmPPiy1tLQkR+1XnEELJdbKyoLIxV6++B/ii0o8/F3TvFL/mg50n9y69BT+ru5yGzHvY8ActxrpYfzJbUQutC/myvbzwlzYPrlbmT1OO6xtaD7PFTzRPrnbgHVlv7NP7k7a9fmT+4qjkMzoU/bJ3V03/qMeZJ/cvXXjbmZ/sZ+r+InBEt9cN35gtzBAsEaD/B/zAgMM6uivvjCnL8lkY15dmBh5Yj0/f3Jfc+SGT+49eTxF0YuUP9Ty8710VlJxt5JOTcsGQCDvolhALOF8BCCEO1CUW+RAtAyw2JMhKp7p6YMx1dgNJ9aoSOMiAArb8UbDZJnIrQbACNcX1ZxwjBHVW7abrC09WBCHpGdJnExJdxSEKX1BVLw03V8EEcrqfhKK3JzI3SIRiEzLkTDZf0I1yb4VCChyc4gylSMEVIycFFQbMVcGBCFlD+FJkIkNDfgI49BFDgEaxXW3AaY7iCtRvjLuY2i8yPquSK3b6Kl6ZCaPD12UvPxsRBSUUzEqmsxYFqspMl0b92iKTl/6UPZUqpK0RONs+rWoVpENmiBq1mVk7lNB5VuVl4URmaHqFuP7IptumSbL25CpT5/c72IH3ohZ94hBzmHJTVbQikYSLlto8UNaVWM8l/UCFNtCN0ViuibVYbay4BkG5UfWNcyVFjLMkMYqSre7lKasP88rK1g5bp1BoXwjbSMRDQtDB5ZQBgfMShgHnqkI6e4xV1d4c1YsBb+VypoLJPTIWOZUan65hK6RxeyE9pTiIW3omk3qg6aKpBI4EeI6QoPSNK1eVC6hbeOCSkEWlYvUV1ACSRxpmlaiIgD3iesnFDYUk4knjKZtwZQVo4oW5Z61IzF+p2lQlqWy5P6UVCEabxWKElqMK8Z9kSZD1dI1IGIZQw+W7rOZqFJT5Ie0aMpDCh4KcJfFkvPGt6g1aqtGrZER4WK7tt14taWQiUe4EMjAsFMwRERFD3Yh7/VqwS4a9frO3lat9ioR7CLGLOmEPzXqRRzUgqJexLn5fBqBBekDWLeUF2+jMUPADURFv2+thlzQ5z8WcUMcbX28O4qrlwL5wMrChZzhphV47bbla8GceXNFao1c4NwPlMht0E+l+CPwJeFpJOyNgPZAPwlV24xVltZK+j6rrg3LUxDDIWuAm4SxoeYjSo1UN62FheKd0RBDIYVQ55d232o/5vUN2AZjjsFyC/BczmkrOs/DMf4JOgwTd+S3LT71Acw8HOPXp0AQhdUIEo8dkDTi88m7XGU6bfrWl5GF2gxsN8AtbgCn4pYPInkbg7rabtdbJaLhaTgHLjItddoGgSX67eEi9i3HesLNhePTotZKxyPAzVpwYi6R08wt3+svnr9d8wsPDMjP6YExAxLsqM8wG9KEqhSWfko8hi/29q5erEw8hikr956WE8d7yl5kiUW7TFDuM9dXEZjMtbqcnt8k2q6gOiNzpYm89LK6h9HW24fPDOjLWH/qUsFCrCbKWw+qxAyTHivPMMN/zprZCCuaxvcwRVNjAPM3IkRyttL+kbjDz3U1ZX789n4r7/Z+44/eWv/xIeiMm9sXR433/sfNh7WPx++7n3teb+fgY/vqaLz2YXu/fvXb+ufh4i72E8s+tcRxKcRQ0G0U7Y2u7w1yVnZLGvujT7WyMzYC+riCibEqdHSsUpfKMRwx0iLiGLQscxTa3ZHDcZLTwNK7yomHCt8cVFMLKXMTjbSfMpxFVEp1LMWa5meCU/ZqroK/pmKBZ8wCSFM5SaldP6ftQ5JfjbSvvY4AHCbbfV5zojFK0TcYpskvCSiWLx+BRGOZhs1qor3a1y/tvnhvrmX6Wsm8Pf8IJiCaLgsR9zmoZiSKSrFLxNpU6VPp1JRHnOzmWP4U4PnDGNptFL6ngv5NcKRfM63hrIiTZ7AN2BYCs2dhfG/gvtavoffPv9dPfPjDiDAGl1yKpjacM6Z3TyzDEbHgLDT0BxsEzbT2RPj3gmaSNvJ6VIp/5nOIbIKrJxquru/+QTFm/t7YJ44cXVH5Hn/ojYc+8NBkxkv+QRaf8d7E9/gT/rNjTpYAgTU88K15tIGJeU/cFEaoSSNUMBnKDex/B/V7/Ska1A/E6cuManKJb+PXATNGXumUUrzS0447+ILBqyEIPSx+QsohiE7GiQm8u4dWb1Q/BNJYursb9g00aOGmFhiHfcuBCWXAgcBiqd/2+TEO+XSDN5QRo258a2ADrn1b2r6N2tom/HSx8G83t8af6Myx99lsP+4xcf5TmCRGIdstaRpRO18bGlFvmqfUALbf9kZDA84Gjmk4dm9kccdHQa/d98Yd05cvMxZUWQiGjc+BhuE+jUHXdFGbP0I5NJRUjQ7AgXEdtE0fCQ5IDX1raOKQkH2dDDltDFXsr3OPQtP0bY87s0joC+m8vz3ROv9mBJhdmqFpmF3YaY2GsWbUDLNn2i6I+5eQeQgCL3erZ5tuX16iKFdxIRh3hpaG8aXpe9C2ZZxYDnob2BjrLTDegWAOold9rUb2GIGHbz+ZTqD1QV9ls0Iq1alKOorItyvih6/54APIGkOUuMQKtoWilPWkP4AP3h0g1fU8ipas5F6eqS9x3itDzeo+ddkP9eUegO+jI66mGYCvZVK0zNZJVtEIefkeC2SfPVO6iPxjLClmSigySPmEn8lsAoCnyEWpphBedDK81w97KVj62XDZ+OWeDnpYCs9+y6vGPR7n4JtPeMsEOjq73adPYqkGUmc4AhGdx+7jpy19oFn0oOLqjHWfPBslXB5Kn7QIbuzcdC+OQRHEvEMTWd3WhNEuLjXr3f8BjjjfXRL+D0nB2RIwDfF9QgLOHKH/js5L/skdHbZcL4lDhlhQ/ymh/F/0AiMcVYwf5Ygi/QKKBHXGGs4CRuUzgARfIDr/XFZkZjRA4DcKBf3S8OICvsS0nDDMuID8bcwod8vmZhVcxZgMLWNRYnSu74aQqOZ11mhs7a4atb3ttLNGo7H9qpb3HIloJPYYibDz6Y+R1Gq7e5ubqcdIBBMmOXGqZwYC2d3ZWuh7JDlC9ezCJR8X8twqZvCqePlnTBK0y7HeBtu7m1Wtt1kGuiMv3K/n2ue6efa5q8bRHx9+u3xjfQs/f/H3Py42ujaptT57tnt0fbdvXF6cAp/2jAvLRLbZrBkneHsieJ2pV0dM1+0Q1nvNdsR5F8upUAvNkf+Ey9o4RfmczlWJOAxse1mbAr+90xHa+jj8I3NiNHLB0q+44i7nfhs683a8dsxnGq9vBBudjdqaV2/uXI6czlFzp3Xw6tXj6MzvPA2OzrzeO/ePyVX4R8/rnv7xubn2cePJtsZYMQvZyMEVlj/MBbOOvvu+gTSy+Lyf3wlxoU475uIPOPLgzzUqIz7od+xU3MIXcr+MvFDctMxLSytG4l53h9fv+n9o2vIDtk3foBe123utPeQbMzbqCNHvrLZTif/Rnp6PB4fiGi2+tAwbNI6XUf/VIH9SekeCNQbfu4f0sa/4NTkuMHKrdFmGPS5u75rElEEIerIcb4j3gSbGe9N5soxDzx96Pnv+5zRQHp8CRfi7Iawi9Fq4xDMIyDmRyA1U9NHTQoGjX2XVdZI7dHAN8XF3w9xsWFu6vnXow7Zp1HZfb24Zx0d3Wevx4vz9MXCez0fE9gTLW6oRLlkrkTFTWsOvIj6cKmHcebAqjCOrDdyuYzwlQ2/5o3QNVPscD4Y2rCTaIBZIlNbObredQZStGFHySJDZZxnEUevB8ZMN/N1ybdgfA+5DuueBMKVr9a5s97NJB4ubyWdzYFJdc5H939vr1PfS/a83Yv3f6hvbewMDyPD+ht5UVxtgPh3aIuaU3h9rfGBZ6a5nFD08Oj7E99thdSywu7VGw3yV7G7D2KzFuruzoO6eu0+otQpEP0r1+wwkO//U8fwJTvsFdv3VdndXt7LJrtdjXX8Vdf0WVie+Hm+wo79xCucUt8Mz0OApWJYOFYb9+Oz68niBvd6ubTa6Gb2Oz+/dl+j1LKN/cXpUvvN33shHwdkNoa2uly2Aiu368fpte6TR4cL+MrKHKEArHDS2H+USDlmcvjyaBVhdXY7+uBXB12jrQxrEUblE+Unuk7nYFHXdGl98Pixs49Ak8cxowh7cGYlwRuWaQam4Z8OxhO9y4N12vJTrgOSwgfMw8sajFkdEkCa5ZHIjnML48O9DT54C+Fu1Tr+ySZ6wzUeFykkoSbErL60iWPo4x4eKQ3T3vLBdEa8pXaoMUPqdRCsBIzkFUOev2AGPBC9lIzpqfLBagR0WB/bMbYCAox0DG4jB/5B2DSwJ0nrKw/mIRVVa8ieePxLy4bQWFkHZaTDyZ01WWm7nxZr9YF6/73PX4QCI+hMxSug0fWsJp+bszmf2JjPxP9rF5rb7YZu7yFYm5ECH3mBoAY+2n0jUjW05P3Ify4GlD3mwP5RGUtKeRQfjl+QQ6TfYCxpT+7S/geEfXFqTWbulv3GB+dQtApi5dazhiiXvdtR4SZ+p6W1Ts6FvdrTjgd42NXuH+UVtYwGeYMHAwguDJVsHFjSkFrIbj7KL2j6x+cFCNN+XbZeAXnodrJjdtF6iqHXBOiM32Sltxxfp6d7X1qus9iNJAuWT3OYLGpw2l7l4399I1X7jCRNODO8lDMUeiXeEHi6C/8cTXX2zX3si23A9rxWoVO6xyGv3UefraNwWDqRrqDoph+87V141N85vD7Ol1LHVgmbC9S8j89HCC4gYbeBX2fI/xSrIGoglkWes2X47Vr/CqGShHZFZMqwmuZ/04EAwTLi3x+eMvW3vakqMxJxhqhPK6ntOVDFySAyh+GS45XE8doGcbYuEh+YI9lLG8fa4qdpDPV7XdtAS1rZ8CvFEd0gpakrc+z/e6b1RfXST1enjr9DLApGa/f+z14iQgI+8sYthL8Tr3mmRuQCver1tZy7gExuKe19z8cprixdsRkYBEucfnj58zkLisO97Yhm9NA7d0Hu6yMLhemj5U455+kkkPVL7OF0wTArIppNVirkUUhAItLOR6VbMqF8uPchcI88g1MkO8GiH18cy5kD5UPkRZvGY+JnJiTiLpYPgy0JJ2n75onsURVwqWnmRfpe8qNBFAC/DsbtgBykz9DEOkopjlDVAZ3iNb+oJmHsUC12Zh7XbLcb6yjNOnFG3y6G7slCibEc+j1MKnYKYnbl4WsV43lIYEgwpZlhNPGViZBKW8HIxh76JsuVRz8fQm4LhNQYxK42bXro8djMQNghLoI1OfGzPXo3c61aNfYxi4nCYCzJY5nenGWIMsN4Us105Qrt+McYwrDAbMNYNvyGdiZBWqDxOM5C3ENNbKxz5FCNw5K4xY4Q5USDgwGnX4iucpfDNR0tsBJ8b3pvLrIamS7K5dJkasjZDaBEenuTYCxt8kQBzjgGoSA7tAQ8deG7YhwkqYlbUAnnfNTL4sWODQp5maxcGXnOaLZLgbs92x0IzjGbMBBVi+1RWzwogn30Yn7SyiK8Mw+zsBgut3YcdlVrMHZD0Zow/ph0t6HfBMbkMDC6eBJKXVhGsnB+CIrdRFI10qTJA6XcSLTF8fE9RVwsnRy7hNkyngf265midNZwnaELI6kHuUMavSWZNq30AKSLZ8RV/CvrJe4owv6N9O3FrOb6ShDT+2sAAaOdG17IcCoa4vr6+anzlMDLuKAz6FnrsWGF7nXuHsQwDzwEBLxa1MtGHqSuDF/LAbPses+kNDoRA3elaFA5LBJmV53bZQwpCF6yX6lyzPRrAOurhke3JWgVQgXH8ZQTC16UpbC6ncEr07TaDZYz0A24y4mu57ol4FAUo3lA8TnYaI2KjM1Qidiw7tkFepkcZnru5C48YthOpyCeAaGJRW8nZFsW/7PqWrupGObwIX4zwUN8y+sClo8vVGCdTAyH6U5JGdx6dEKLAnUCFtrgvw+e7+Br3o0NAG04T+PtexoYzeh55mfxLRXgTa10WZXgMoggndM+BgwoGVcJQe4EN02hidB2222GQO9gzwtChrxAjgfUs1+exSMccTvciq038MY1xJYpHYwRM6MzyPSvwulfWGM7p8vlDTkVvYpGuvGAIbs5SzWzBIXu3B2I+dLYjXyoW/g/QwgWnV2xhWpfpdzavTmO5tHF73Hxo3j4cem7X7m1c2b0+xYNDNTocSFvyrZJs1BiH4jtMtBCEZyKyI3Qcot5Ou/kl3VRf/urXy7g6lSHOoi54kZO/UcLD8n5lJe4uubKiRbXTPS2XjTUsTc6PmYXQXXL5k883DLBooeuhBLFwJ0hCAf/8+efan3/KDySwQX/x9aFCN8Jk5D/yQZwKN99pLwmPPP2y4S1u6mWCX4nUHnEHOekcp8rB+OW4qumDT2cs4RhC3nB4GSHlBQe7yD3sKV+/Lqd91TDDHy2nXdKQSQEaGQhkN09+Z1rzyt9MND8KlvPcxjA7sJbzvMMEKgU+W9kokSuYQklzARMotd1lzZVHpmiOWqLlAvep7JbJK0u2HPPG0lrOcKeRWXGfKYFFWU+mbJTIW0pDSXlJFRKD3JcEAmWdirIRIMclDYHM0SigycXpkVwevERS3kK4ZiI/H22ZiGVPHkNG3FMo4gLQPWIjKysx/5w0FPbwWY6KJ11t0jXIXQcq/JvdZIx/o0OM4r5TnG2y+VTE97JTEz4qqfx0rXseupQTSdSZuOPJspFZG11EohpUWnqSRN2IlU+7f6jaMaeRePUY+um+cBMFbhbJESLnjCmENu6LnBqSEMkXYgrE7NRp3gSpCmkwaa+AWDYsE93AjxM25hGAkkbCsp+uT1XJSC/qU1Wy6mP9lHU+DaEtLe0CQPRN7esW9nRdKidM5aK6noQQxAxDK3myPv2Lyzy9Vsk8XjDZMGXFgP9iRSLL6r0QHaSd91+/wOkTWM6nnzgDDqI4mvKTrdSYvSwt0MUNJS3P0Jl8c7HWu3LW6Fi/040X248BFegWwfn0U5qwZEOe0gBafe/hACSpxueSLDPvcrFZF3ARqpM0ImTXXY4P8b8jg6zxb6grLKnpumR7XTb+vUbF2NaZLkXG0agUWSPThch6GcdiAWbHGLxn/E99rcF/Wh6gFrPDaShmGgENYybr3zI0hW1FBjatnUyznZE21y3r3UBgyualQ8syXdEsmmZUQxxxpDRrlQY30yRmFJvCUhhL05EGN9NmJeFWtFWJHmj2IJ0wWaYmJnPSxJTCm2w1GqxMQFMsQAK5bIZLxhvRbD5nSJpWMGyIYKFsGpEsY7phhaOSJG0n96x3i+NGVpNinoVDm2PoSPeVbCUFm0tqp8nZ3yVJRLOki08VSFdbWjI+faJfuB4z9Pn6hjHNRlBMFqO0av8+RxEvB3QW/f4U3Bags7/P0ranUJ6itRcvfeiPuxXiLZTx90pNvrLCqvGVlZg2XCKyKN38Mu0y96wnj4DHFenLkda8uBNF2vJYQfxfoWa8sJnFKsCL20qvtPsCtTUJq0lld+J0VKCTlrJ6TJNdwFPg9FxCqfzS0RZ2tlaNna10rIV6bXt7d0+1PS3WgryVr8da2N3Z22u82ttOxFpghlUy1ALC2KwJGIsJtbA4TWJxjIWdv3CQhS/9VxQbQRabNcjCG+/RovDomUEWzLwgC8dHm4OjTbdzZjlfW5uW3bg8/+PkuL4XDE5vr0Z74duvVufbk/Plen9rofEXyCDxwXLa+G4l8OCYCQimLnWHi8svZe/hF36zbVHKOkrSIYs2uMuifswf0HSi6gmjfQxa9u3u0vjxk2G4q/dQPfJoQrscaT+ah7CBHvJ8Ftkg3gLDHXu+uE6Vvnt33e1aboAAP2NzxNRBhqN4RA50Bf8FNj5hbk/gqCBbgNLw6IVI3OHEwjICixclPRZJNHOQTcKuY/qhtIGm4SSflOStA3vfwqF1+NXI6HFUelYzxBdjacdtP67izpYxBWBt42YaEVl8a2TOQYhGIxK5UKLCPZ9HfxUfq0X2TpoVz8BQRXiIIP3YuvHLR290N2oBfzzHNxlJmsoNZs7PR/oWHn/on0DEZpx2ie+OjrQ4TDxARhNXAYeLGlC653RYNsRAVKN2H8DDTteWsaXwpR8OLhXag0wArjVmAPTwpon7sJg968Y7Fw+hhrhAwDFSg6E5oIdng9CcZJn96UMMIb1QSm+o4hc+VSsHlZ+2AKJmmP2nL6qpI56ibjYcQMYmykaQopTKsDDQTwQGPypDOETSW/iw2RsQDxVOifTKcLsj150Edk8GfY4lVYOWd+LBJ3LdOCVV0mKauARwcWYapagG8lZ6kiSnsG5gITq2Bk5LK8A4e5nSW+AwrYGHeZOHcGz3ehg2FFk5Lj7eamO7Ef2eYmGP3A+ol68NDIX6EY/1Jzh8xrVLT47/GH4IdxgtC9CyMT4rbF+oRxDjZ5yNXKBsh2R83pKQBYIIZ5nAsTrmhDkQPSeu8abY8034YDCzzqAyHRflqaCJIRtiL/8bToSVlXwRgt9WX4sqzLnlI6iZ93esXHkzx0qL2rk3IlZtINhF778IM3OzxSH4UfbSn1N7KGInSVdmx4wmlNwG+UttZvxNGxL/TO4snKrtC5BwH+PZ+cotVYbojdUiRpxfKyqC77BS6zoLpuEpx0M/uS98/K41dlaNrXrG+Xtvq9HYq6vWM1+mNGl6IY6xuIfi8KafxTfhKF2vv6onzuJEpbJn8RiMxZzFX4KR43tjOgPnbSvvlD7LA5OB5dC7pC94TJ9xYyQXLpzApDbWYnwJfy42TvDeIR4zQyLZmQ83epmiMRWh+cf7R8RSce1gAXWEPRz5PnL9d+vNdcDAselZYnobTkMN7WNi/4LhdyaMSdZBmH5ly1sZJ23BnIUeNbJQ0K5LyJJdkuYI6h1pE0vqFxOosMSXPoGQnMSAiRoyzDluAWQY0s40yAFwAAzrKzANtCfCLN4gxSesZ3JF5ZDzWnWD9aXt9gj3PmeCc9uHHQYfuuPtlRT6GWOYQZcraOG18S7A6XBLs17DLvopOMwd+d7LRCVPmM4YdhMWKxAD6gyTADcbDSJvkLwA0bUNjVFkQIVtR+r09ckASxzmcNsbTjaGJnyITZAGLUGWguGZNlXE5EBM9i8ujMP9m+YqzgJM+DQCVtc+uD3ef3t+dUpf9OwtTSHW62uULtkSr3Gac7TxoMEmWBV2i1V+pVFfJG3oo4fLS9GmY4Wm7aCxA1bMWs83h327HVBkY6eD0weBM4VDCv3s+XYP3VnFy4wVkI7PGDEXIvIn4EpJpWhUpp64htxz8ZQ8WbJM5P898bpAy/F6KMowwzsQX7QD+FafNwZp18pcxQmf7BQFNiS70xaOZqzo8DB2OUp/qD09T4LvqPWZhDePGzWd2Fqk31PODVM0sm3X+qIXK6ORzdoNSuwESILaOpt2M3j8yspUvp7m6Xwyqa9D7UXw5ZUVgwRZ+N9U3vvzy/JcxoL/RkN/krlC8z/rzPTn0kz05wrMsyLjFPRrrMsjzMyMEMFsRWDm43LzczjEZhsnWUWWBfS4r8ZT8k8fZTkZhXafh8OQVJkwuMjGNTVDyYdnu7fHj3f7F9enh4PrSad36Ez65vlk57Gx+XmwedU5fz/cv9sc22trv+0v1Oai3m9UW0aBCUbMHaVJkwmKyf9NGuR9XBB5u49w/fB2m9d34hUynBE4RApUxBppotholJWickJAjV+qjLaYiqij3xZiER1IiCG2Bb/FiWl9xSebYe1NDDHWMKmJESP7zZAA+40ULkgFdHCeMnXRAUkE1b2GBd+FPYYnpIZvGbji7R34/jKywigYjEpQ8JiUhHGEfy0Tf80Z6OtRvyWumUtVltrcFGxW/jM4Cbx87A9g1nbPhcbR1UI+VkoQ48FAypWbNTpIJvQDi/VpDCt2QT+z/B3uvOxcgco1wLllBnYbuC+Uak/W8WXwYUIJt2oAi7LWgqFltfur0l9jFWrauCRWDVgNjkO/AGK7v9YfuZyBe4mLJ2T0erfJWQc31YCEA9gM7vqIDp3yn2zPAQxwEeJUI7cV9o8BoShxHzdnriXncJr9Dok3PLSsByIak4SuFqAilReQmou5cQhKjIvYE8khCMU2jnpF56iIvJqgxE2XGL93CMsY9z0iGApRJA9gV6NtiqVIVKcEqGBdNz7oo0KcBMQOcrIZ4Qvu9hPCidDijZifIsN5AjkeEA72a9SryHEZucCNYFPCIXXRxRJ3Stt0gDcBirY3QidUN8BX3V35MDxyN3Qhf7I76MYVmn4P7QiLGl3Xe6AXxMJgvX74QFPxQXQaEzz/QfbxQSf9C86C9yhcwgLj0fgCnbbDCSqcYQkObbfKwCu5SfMJ84G8Nj5c82T6NjbCQGFlwS7qGGMfHw5zaYDoKUF0WYVhl3INjijMl7Hnh/1x30bJk7RnNquIoSGz51s4sYBPoFoOPbKfsE8o18tiMAFBZscnc4j/btCcj+Tc6KxCOzqJpThGHdRK25FaDyYUzA8AyKlet7sWQmfamBGbHNo0iLZSmaAGblEzCvpqy8CALzJBBJsYmK49HNFyFlRk8w4fhJ5sk/35Dcan9Jy5lGB50KcCRtJHbwCxCHJ33VwUMTserNDwQfU1sh8+QLkHQukBUHoglATtX3J1Ai/VQhS6ni7piWfJOJYhH2nQwTVmKCLmGElrQv4qMSxCQsVTljvUaCjaEctqbAd9slLQDQpaM8hFRy7xktiQlFsUCAwWfGTfkogvanyhPw/r9Tpw4RgdIYnMJ8EDEpB+AgEfQu+BCIgKdEnAWcd6alygaWKkf3O0eSJClCvVhyZJsvyoian/+yRJcY1B6Hs6Fuw02nmDtoB3TXnuKD/ZMWv+uQV9g7l14sMfWfQBjTK4RzyAdBnSRSQxgLBjkWLJFXtIlJ/5WkzurKpMM9hKyXQU9GFHQ4IJ13kHnbK3ttFs9SPTrfq6K0Eh1HEIdVFEJFZ1RXo5k9VxpIkrTx9N9adUREAUEGdZ3MIbJqzoaUNvpZiKyrGOajuuCpKoYLPqiE/oElqaXltgCycYaN9C4z2pO7siQ+Lka4b9qBHYZFGCd6xFcV6xs7JW9QE1dA8gqLGPycxMtcTgZmmJcYfJMj2UGNJ9N6IRQUPREe8QoueA3QXZl9QgpjMJUE7BfVA2JATatTUUptgnwuhaY7Gh4iCjv4c5QJ+VNhwJOBHVpfqsgPMAnFxMB71iWECmm3QubpcwHkovSJKAyYu9zYpufDaS1TcD8zPgFcrZZ+NjzgyNFJKmy3LDmG9AC4Ujy2Mo/CL58O4XbNZwOGKBmR0JqCj6YOGEMrEWyOqjhU0iCw7qvvWA6kicQg8mfIxQl01MRJL6gcf0JScVqmGB8C2zw/5XJWbOeddoNP6ORwi6demRBBXzdCI9Kg+AgZ3C4zKPwKqQtmJnZ1qjqKgd4COgiyEwgmMjT2e9XntJCmYtS7FTrYLQ37E8sq4EJEy2HXtYnu1+sOhYSGpqvm0PrayiWODgP1KHQHruVQMVPT7aM4QNIPDoljQpnqNl8UvXbFstz3tcNcRL1/BjNGg58O8F6fzPXb5EtowKJjIqkDGBfUAE2VFd1XmyoJsB7WnAm4m4eNLPCAY+2wgqwj4gYVGRJAmLGgYmrdA1EHUfmLpMO8lV0JWElamLHHXNmKOOLtJ+ox1mYOClsQe5jW7TLjH+uN9F1ZH8kV7rAHYflOyVoouUUsiqh+h81WHdAvFO2g75Lh9v4Yl92OarcQ4aiYY0V8VewCx2DCyyoGHclaVODB3bcPoLFNSxTfAAhNSx2o6J13rwQjJLAAFwQ2LsLAX7Fo/6KrvrmZqvxPHvhxfvmufvj1+rjqMIIT/Oru9UzqJYCduJHqgOq9HX668C3vAf8Pjuj0ggmf1IVWLCNS2nu8Y2LGSuxBNY0dVE42QlaRdhCaUEcSyzg6I6DdcoETlQnNwq06yKKIwbevzooOi2DozFCk2B7S/8D1/OjOG5Uc7og2sI1y1t9NSmh5TgcstEWTYXE3XXpXkL2F+Al1xJ4vA6QpdPu17Xsjots/2o3Rhd+FkfveDWWGODcoLADukZRGM/69Qrd5q/pmUcBY/JMvDkvDBbor98sRgNF9wJupcNB7sQBycdyCXRs/gTsQVYiPgfget5MvyHRETsGGgbppEdBbiwzm8PC9tKX2g5BAn1MT3opVrHJaiaw8WIsfNoRQIiMpwKaRElsGS4jCFUEBECYCekzc8zlmQz2CWMj6KhgFX80NjZ2XnFE6bgSkQ+ZYUcwYPbhPN3P74UOWiQIOodFy4kbH5TQoP0+9nFY5OB31o9mCkwOe88Aw0AhYDTxuISF4O5nQTcCu5GtE+gwV5Shd1k8293CAfml7/cEaNESQ6K7jAeBUbiU2HqzjxZyOWc41lVgVjV73SQZ/ONA1ItIaZ7ShGlU2EpjZWV+I0PWTruzXBPso+tBfNCPhbzZVjOdlpgD6xPrgZ6bm8DhEcxLeP+AYxbiU2FPAyWMfJkJMTk1hVcOSpI7jPQ9GHK5J+M7sEOAst0lcF4fv7kvl57/Qx/PrnScv78VzWJ36utNZdwSaKnd/KESRwomzJd/5xtsn7+32mLXgxZZ7RFA/lL2IyfxSL+P2gM1ki/qKFiQ6Oa+BWNsc+LsrIupjezWVmh92gN/fRT0gr66aey1s/nRZg1tQ7mmysXQ6j5zZVyF8q2GCZ3IrYxUp34RlTR8PZ8P83ANQdRyh2Sl5NIl7J8PS9m3EqjWNn09PySNqWVFWp7ZWVRpqPFULPQdAREzNQlp008z/+13cxmu1nMKFay3eCoajaW5xc2niymh3HjSd7EnGLkeP6LWi/uMywH89ByVjOGkpHohshP0e2Qn3KsCs/I42Lmgp+ltv7nFzYPqIa+hzngZ2UG+Bnx+RnV/j8vavKXV/fjwiihln8u1rffp/XfkTRTGfmS+3WBWn1D01rgHPqe6vLFDGAZdbmQJpN6baFmATFzihK69Agp5TY3ScAzNM0KYIGmeBmD9LOSOR6ttbDS99cla2TM0P1GWOcrjjVaJRW8SUmfdMFU/seI81ivrRq1nXSciUZtc29nt6EanxboUd5D1YJL1HZ3Grube3t7ieAS0Zwj/ejU+BII5tWrhgCzmPgSOtuoqCNmfXhe2Iit3RniRuDA6nd41VCIfswfNyJBqJzLxMGXvqcjEulkCi4TEy6J24anjtcynShEkKYHZywFpJezDSQQYO5GWuUlRAR29CVgGL6nwFgD/HVljX+NwncHvwruhcyL/Y24lDIw6AaDPKNNHjq0FSzx30DiEBUqWDli29qbjdQYN5BjZPKOT1/dtJZwA4tBuxS7G7IVWhpJi2QM+7SRsKDJxh/t+tmmsJpREPEk7OxIAjngdp+2z+rbS67XdUzbX0NDCsN+58oQ5fOA9z/cHg46Sxi/FeeqBh8fCMKkeaC/3fvdqh8tdTEKvgaaouLPA/ei8357AnCFIKKDFknzQH8ThGPrbGnUa+vkhsWPTz5xPC15Zp6nmY/AIO9aS8hhtXau4uFejvEdgrkm0NFV/dv+H0ujIbBGKzG+xjtKnQf8x739z+fbS2p70JpQ0f/naeH3398N32wuUZR7nVJ3cMDSKEWKxLko1du62rxuAit0hlozZ/A5D1T/i1W37CVzYGpA9y/354H5NXTOzn9bgu0KxJy2Pqr7IinugVO9he369U54uQQcv/2ocwX5PBTI0ZRV0EZWOMZYi3LTYciYxRvJBZ4jm/ySHAGavr8kH6askpZ/1wXPBSjftvvr4dNGMBrADl/rLQ19D1ivtSaYPJwMQVQxrkEmGm8Y/yOLrSfwTXja0K3ten11q7Zt/I8hK3FJcaObPpIY5xIzsIZ4Bve02xBVqFWWCvbgs9n3nsyICsIv93pouWjoODTxSbx3bmg7xrlxcHF8fPQ3+F8JYuytbu++AlqcD95QCz8+LVp2C2ThSUSKumB7sFMceBMDD54d28ITJ8jQA9RwojkRpLh3B6fX+xfG/fp6mVnSWN3d3QPCiOZ+fLoEIb68GY46tvfQDnregz+KaNQQ25yJr+O9t4FV+ZZxX/uX8YQKfjs0XeN+81/Q2+PmhXFze22UoxEspK06LqR00z8+vRzPgUN6RKItbq0DIoaB7ztYT6iOYU3/GOP1lKBHbXVrZwfocXF98fH63Y9PAssMJj0PxdCIDNvc4qfR5lati3/XN+n3Lv1dp7+3Kb1uwD/dRhv+aWzubGEknu3O9gP/w3kdzipFuUZtCyinMPrxqRdsRVTb4ZaCLeAzKL4jT6YgTwN2+S5DgFptE5cSU+sFO54JMjMx0U48mkySNi07XHcmGzX/9z/2nhri3LcUOLYIh4bWYNPhACAKp6wQiqmGp8oulxRP6w5EI+Ef+bKySxqxuBj39qjd+u1wCY0iClPxujceAG4c4Lf8CqzksyKX4YuP+ibznKy88Pb88O3x0fphM7fI4c3F/kc9V5GDyymyAj69tc4jI0teuNXK0a+i6ZVHt3IzdvaReHd99PEqyB6Jw+P31zgKXbaSFI5EPX8kDi9Oi0bBurDQVUzPV53MpK8MdD9tHDLK0a8fcRwOT86tdzdzj0ONtS5ZWVd233ZGg/y6F6OB7XqBHbIo9393LH6/fvNl7zJ7LE72D4/P7+Rr3fXCsVjfzh+Nu+Zl0aK4Mv+/93aigOpmJoUzuE5muZEIj/BXGInG9WfnbPiyI9FFw1R7wYMRCNf+lxiM8okJIpcTT76eHo/sN99XPImspARkumyShiw6geEzB2iLXh9JzfrSYLA2GnKLJAaxxPnauL66OL86rtZMnnmArRX4M6bP/2DrcQjnasBvL+EfHTqZen85vz3kZ4QW0cZaz0SzdbAk/9XbO+W0WZpMzLHQPfp96+3SU9L+8f76KKkqrQZ4fHHaf/91qWMNvDjkI0ypBjpvsipLPUGZZbbCCBw26S1f7HGaDlpmZcC+1fZHcAILltQvHfYtpwp2VgVyjyZN9EIFvUa+xH/Hpkl8btEr5pXb8k234w3Mdhh4XVSYZE7IWyq0D4Wuu4fN0+vKrbSDgTkEfoCA9d/xsYjSi+Bnx9lPzlOcOOt2uNGoTXaCnmae4LYuQBAOQnzVsmVbxl1/5AcdcwJH5g+W9ehMjN829vleyWzGtaj1es3vD5ZojnHDpNWi8xbtphf7V/hGvOkEhtSsayYN9IZj63spS0oUk5s+plzSiq5eHaKnhOWvNUPffrReGzyr1Es2bNlf5E03/U5YpWtiaQM5FsSJcb9SYKNeocdGszlx2vgdPUKKXuq6yTkfStpmTUDu01bmpONL2j4dNb9i3AvzcbISW5ipIBRSduBkuQzTsawkjbvJKlnmYFmHrLbJCikLb1RaGGKTFbJMt1FXMm2sSQgJ86ysrAynwmiarJe0t+q0EIbQZJW07VRWUgsyWSfbICrrKaOlMFgmq6etnbIqGiKTpZMmS1l2/3I/WTRhh4xKagbDZJUsM6OslzQEJuumDYg8s2mx6hY+WJ1yAZIHGDEt8WfpPs+4FjU3zUa3jD5oFHIePdFSBje9RfQ9i85ZGbhMMXHloJQ2mMVRSpq9qmBU2tL06RPamnIwTJmx4ggmzE9V8ItbeQCJ2qdPuqUHUjYxJWbtycEyw7KjjEqJUc43BlXBPt8Ak4Ni0o4TxypukqmCyEJNIDm4ZxlgkvgnDSNV+pBnkMhBR7doJNGQ5oni5ldW6NoXnKSjJvINA8vivnfEoXQ9fhGHgrJ//pnWpP/55yf3zz/rm33+oXTk/E0K8T//TPJMTVsPDd0b0K7QOKU/i7qeQjCt2BQI1gWCrDrm30JPnEZPU2HH8Bmhq2/icyHo1Tr8r9So8pdSn6ZR1LS7aZzmQTGtBBMorm8LJFnRKBAWiqw0gprKMz2mGoJ87XGhCEb6t2k4asrAGFIBXoRK4Vi40tI6rtRKi1RSsWWG2fDnPkORFDWSq4NS1VEvlC+3p5RJqqJS+RRUj6mKVN2Y+qaweo4WSIFCxUSKqGmljqpA6pdUjQxtjSaNKT1L5hBoOhLqTI5CRVWIFB9UPF9NolEsQ5NBladqQrRWEzoKbrxYu6F3MlI+UMVihUVEvNq6cV9elxCNS652YplBltUSZGoI0q1oWojll36kU7nDa/cmant7tVe7qt1p1yakx712baIB/9V3AE7i2kRyaZW7PUHQGg0BbTG3J4qvQNS2Z7gCYbqTH+EGxMAbjRdxASJo2xhOJHXxQarNunmvLQUHb7qff+uGD7vDL0e3B4t9UilDYSmufdFA1TaFhyMscLw/xcm/4o2q2CWIHHVlfycFXhN4Y7fOjp8sf4KRAHpNJpS0pTziBTu+bNiWTw3TRbCAb1VFswov/qWgJLBjhCR6UedzbFYAUIwaE4VUSUL9bIXGCX6KKCPZzZWyW01vPLBMv93/9cs/CYG/N/b/Xn+1f4l/R+rSwPPDf7rWOErAeC2+3YbV6P9TKn5vfOuJwtsIbA0AklQ3z4Myji1eeOz4wIww0lTPsWh4vaHl/mp3/rl50Oh+653tf1gbvP/jcvPK7Xy4uvrj7Orkt8/70m5AQ6khqD0uyFqjCgj3/Y3YJ3lzsWLRaE1gW7GcDpytfmF9KcwwzmOzU/xtqRmC9jtWVyi+71CHS0Bz4vb7eM1P2pCiZZ2qUT6C/7SoiOl1HxeD608XO41TsQaBFbVtVyM8w8ipOnyafAifhMZ/CAM2sD3H62ne8oXVr4aNm7u+mLD9SWDr0dsKa75/5bz/dijsKd5gOMJhhplUsrr39WB3V3jo7tOs8gZlkf7t4/H7iwPJsmBgMEBTLOxcYfXW1687py2ufmaZTqh5uRZWvB2Z7vme6DK0CizRL4vzH0ed2947wd5NOFQmWVhh7br38c3oPdc+qDTAF/s7X347FvPDfbKB0PELG4W1W3vXT2/filFy7YHpSGZREsBT47fTN6L5K2vkV+z3acc78MQsuQkm7X6Vrn917K9Pou1DExWDJSue9cP6pnCNbnJcCdHr0osjOPMfxca/74Z93xtWwfz335pdWyBwalWp+ccfPe930fCN6VggPlWpvh3seS3BiI7dHrAhy0+78hZy/axN4N0Q9iXUxkVb4NzsPhZdW/oa5vD7WIxse2AZvxw379aMd8193ntKVLuxMPxI2dKL2VVKhHmuNYz9IU/rEoGca8NB2aJH/rpxabf7puUYV15gUeQ5nkUlal+aPdcClkyhElxcesb5wOzhDPjl8vZcUD0vxnCZfm+9UL9vvR4aOuCE57mrxnU7/DTa3LRqIMgZsNNYIz4BHw9MdwSUuQuAIw35zl4J4Ac+LsfAHPkA57wDORR9SU2TeSiyXYki9fIkOX8yXePaN93gkaM6HfZN6IhxY2trYjqYG2AlGFrJhrPN0PeAlzItfVS1cIQUlO5pfyC6yKhlkv/MRZ2dStQpT5yr632+Xlmi7PHXoeMhO6U4JkeWNTQOTTjctiwgcNPiW2hz9fJVpV5WmAMgsmMQL+PQuzBbyMXLVkyVq9qn+malPpXv0pU5Cm0HFiJbiHnaBcIBrER9HL81GDXj2gbxYIhRtoDb0dlxlQZ3DATzjTMY8W8Y34dKnGBbH6EQNIvZqcYqk6f2QuQ5si1E/9QfoZMEBx2+GD1aUUpZQOhkYRzDMdPGCLuHt+fNm1sOr9UMrYFxiOFPJeFSMCuTo16FHI3y5KCjMchCQgIsUePuIL1IKnfnxbZ3y7UDy7g03pqTVeMPy+2YsOn5vtkxeWzugCdP0N9CBsAoAfSG9IsGH6kMZBTA3izpYzcXHV5qu7+EWWebxmX7ahSWntF3gntnLPAUiMo9rcTCd83SPb3zBmYAyHY4MuLFyNh3HMsfffvmlQVxPhiMXG/Y90LPlcftufq6W6WvFUYV7bvryF4waN3lyO1lMNqcqji2Uh3mdY3rjuezmHKHoSwX0Oe9Kn3+4RlU46V25xsM43fi+WPTB9pb5ef5oYezFMOEHo58DiGKwaXQocrYb5PUyXyK8tLEqkqBHTgXlD4X/WfHs5SW8hdgC0YIh2QRiwstjhS57xjDBR96+DedoUUU4egQXagUoNP+nTfU1MsUQxozI1VElkWBu5aVQ40qnURcodDflhkKOvCtNbZirAWh6QsFcBIMVZRgyjmAT7eubEgn5o1Gvf3V3d3o271e8NDy4Pz0gPGkTdu1Og+BPRg6EwxI339oA4YeUGmD0TzDCsYBVqAA1FTB4AocGlBWSHSonBd5xS6Ew2CjzUeCB4wO2LMeAstyH1p4uoH/P2Cw2ocuBrx/AAEieAhcbyx6Io8SXM/Aeoasx0Fuqd6qgRUNrIgT5aOFgQED2HmSA/8iHXTaww37wRw8mA8DOKK51kOLtK4wfShSO76lgOZJWAHYzSAUnTtHl0iQJ6iOwZpa9JjEpUTvL4iHPagOv+IAAzqYUFTbVePccDyPTCMunJJ9IRXjd9cmCBggM8Bgxq73RLEXV4GAHQww+oRhr0d+COflIUbQQ2toYIxcDHlMgso6HD6w0dEQg+e6nTasZMcyWiPbQScMkNdAuL80HXNsG4d2u+/YnWAdBIahRWGEHRuy7TBpgHwJ6ptubWfDRRvNw5NNRmogft9E/7jgoWN1LRoAy/Zx6QCLxHqC/hTA0eBahqplcC0RNlrV+g6daX+x2hsNnDAurHiM/9yxO2748AgT+4HCG9IkGtjAZzlGtIO+BWK/wOi4UM/4CCNwBPU+jeqbtb3QeIvLYj+KiXqJtaGsGRp0mr12sYZvnJgpPpl5i0Pj/7Ee6zwT6JfJMbNtljpTFyr/iJWnTAAUaBhDvwpv/MjIvGrwCyhSb4R9LTUkogn9zgT+1KIrP1Aq40R3LkhM0LYnDT3xbA+7HdArERlb19Re8sFqLvTFvMrGHSUfnHRpxEU1QHwdM1tyc47txqTZkw9k4ETUHo4Rca2jWOK+NfCerM4qRlemNAz37FsYt5m2dds1h0PfG/r4hk707Ma6oV5MouCv3AC2TnjJqUS/y94pEktu8VeHZvTu0A8QylmCJjiw5DZ5VgR9CoUMExrZOi7wdePWMjtalGMkPO4bnSfUnnNIbWklXUXOhkYdDFbOxmJYKGy8FTuNJeOhi5kUIPeHHMzlaUyFWtgGvj1jjYa4EWHa2GoJPEyKxIokm/DcRcc0dg+B+m3iOTZMFuFUWXkMq9/K+okdFnCVJHxyMBPv5eS4zfzrl6SjTeSPh2GDl5bu53V9iTmXF28PUdMrK/c5ni3kGBjjAuSMgh6tqm6mg0ms5hRXlpgbS9yFJd5SCT8R7v/M/ihae/hnbW1NjI1wEil0INFrkvPHs2aAw8TXa2vPa2uv8ee99K9IuiKzDwbButcdKZLl2OGCywmPiWQRdqrgIoeaa0SyHLtQcLnIByJZiB0luJDm7JAsxj4RywaVYxVcsgj7PQi0pPtCshD7OHAhzU8hWYzdGbiYcEhIFmGfBUFQ5XmQLMYOCoIIMReDZEl2RhCoab4EyXLscyBGKHIaSJZi1wJBDfIOSJZg/wEukXADSBY9I48B2Qll70+WY78ALicM+8kibPsX2GsW/GQ5tvRL8kam+mQxtuhTMfwjFtbDw4NMwTUWs8/LDLSqPyfM5c9sB89YX/heUuwvTGfz9HNtOHjONigbz4YxzVgMYEj9S2Bmss9CKwWmV4BPttNnNIg9T7F2Aqh5DJnQFlkiqS9oOwR408yCUIeUwoxfyhL3yWUTGYPMMWpBMwuxV0FjZHDiIZ1mIoJWq1h/ADiZb54bAFzpvwDK3QF2U00mo5L94llo/DIsEwBVza2YMQBbzdfzQz0ek11z8FygWgcoCa051CS1N7WYoagW7cqtNkMHDRBIiZxDJlbJCvAJJaqB6w2F/Aoa0k8uqThzWpPMYha1YQYjylARZklQWhWodA8yT1K5R/eF8H5DecVZxDmnS3Dz6PMAszrgNbcabFZ0Z9PdAdYNwPp/v35rVrJW1xgCSbeApBVVVjPiN5NODTDcBgwXoYWaEe0ZtWe0+hNsAXoYSUHqiFRJ9XSfqSjK75poI6XGSWqhooeh4xomBYH3NK155OFIouptC+ImGhap0PC6QUeIH0g1hOhoV4rmu0gm9T7xm2T3r/ZWjd3N9Cs8r/Z267Xtmmp9ynUyeX1Jf4Rnp1bbbdR3dhK3yeQAkZpj6i0yhPJqb0dAWcwtMl3O+D+mqmJ1Ia+E9AW6Ga7P/TgvCFnBVx2RWS/Q9YA0jgXnqBbIGrAWcJZmXaQz8y7SnR61v+29v/5j7HTeOcOvl+db14/nu4cfW4Mvjx9fjb82D4++7Pf2gvPm1kLv2LEF9wwFpb/B4U0q8mJ6d1h+p/H+9eyuUKhn5yml+moK1KXtmA9vQaRWEFSSqkjzMln3FMSTcEK8Dybr5QgWhkIjnaegsSEubq7mENu8SyglGarfxB2reAjuOn6dr4Nk1EHmbNM5APUvZohva3IVKiSrpF8nQtGApD7TuDldqzVWjebJB8VNIuC/1Hb/YVDvObaeKV4JxCMB/qDzEQhyAT34yupjLrmsPfebRJE3o7HMhm3AGpJbA22SwK5wJ8XRR56EHAz3FzgfwLnHhR3exNA1JBwiCkAnH06PHsqTDr+kjbsbCAUguw8t6MsbOJHzqYaeMYxaY813zLIWf5BEkBpoTe8E4hqjg1B0UW0amZFVd6Oq4sVNx+xM4sRhkuLrwGUxApRQ2SLeiQe+SrszbOAGPslbCjftafHzQQ+fvvZBFHRHLKkoXgmM/Zcrj99vHZqDVeP0/ATON2S1oSdcobTptEaDYJ2n63T036NOybUHo4ExtNshsnvcE3E+7m5ufoU/pXowBQakf7UcmMPYn5YHR8YOysfUp+V1g/qEb1TizOnj08Mt1JdYcOqzfF6mU3sCHbnBFQCjOWQlAkjWv41MR0ZuntaF4694cLfxMUZeSwhpaIln7vEU5XRtS/ZQf8wI31v8wi2Jx3STslzJyfT+nGhxy28ul8L6Co01VJxfMCZOgKqCxiY9S44kFZM9BMLUYSxAnFxDrlEaKcQKeRLHL1D9ju7xxw2n01BW1aTsmiQXjV/bdOHkbtIrtrhTk2TNvNJtOyPY6Rgreki7fF+gMx9MH6HpXTkwudI03KOq4qXdHnTDXUX8VCcozbCZ6BwNg9ZCYD1hYC3L9Ua9Po4LChjM+HE1w7LYgDO7BRsWMkaUxkv26vx3mjbNoWc70ld4WkduYMoggw5EJZwkd++RF46DDRgE3HGoQzDVR45g/8DeYUu3MNCW6ZZEDnC7sFEEhQa2xfO3AMeobwF/HPli5Kahi+dm3DWIx8o3f2FikH5kYH4l5iPBo7YI8I21ICz2U3EmH7h/iGdqT3C7Ow5wh7KDvjbDY55yaWzxly6iHFqO1VKiDX8SpGyvkhwoKKrZ7QM4OkmftmTqrDCbcFay3AMLdd/SLSIvt3IbJGJOxh7Qz+vCXiXDomdmVYaOIolDElIEVSVVhnbjW2E4OfTGPdt3FMR4cmWoJz7I0I7VOY0BjaVWhkm1HpoDG/ifCMacTK0MkwYCVw/FzdMomsyoDLk3aIFI6AxNfIQ+AhtLrQwT5OLJAR0v1GrQ0irDu8S3qi0FQR1FEhmVIQfdMQjBePhTQLW0yvB4OsZnk5ZWGR6c8Swf91q913piZYiMzbUDlT/g3EmgqTIqQ45O1T0TNUxqLsXTC+DmsPzm0EIlCgiuHaNpdi3jzIR9fAaGn6dPTOgDklHNHvB08oAPoD943YdAYfMQADYPfcKGu6vCJcvTKe7PqGIaAzxvvF7Qe4WwCkTCXu/qu2RHoU/7jvUVhDXfPDI7HdO3xYMUWTmlcIrDngSee4aiX89UMyieXB0qDEDHfGhak65vW0LrkU6fAS5Mu4czy/R1mFHaDPAm+x1zoCa4TFCQ+HmMEqBc13wLx3QfZo0CpyVWR863Tdc8xYBtyl1TT6wOMeg71oS9EhRELXFGiKcoumg4aonVIaJOZnLjmN/E+yTxtBngdaDumTVsjXyt03pqAUzBxlLpqi21oA+o1CwL/MD04Sxu3pjOk61wjKUW4JgD0zEfLbRvORMFUaUVwKvS58OZ+3zYdzwL5nHbuvRgu/oWIZnMKMA0D7Jv47nLPBMrT99uk1mzQ7+12207DZmSK0Ntey2QpAcj3LIVurHUAphVRuyISs0yYkfmoxeaJ6wliHCMpRbgmAMTuJlr7vd8jSFpaQXwqvT5eOY+HzuO5d6YPe2Cl0wpwC0HFh4YTDju+Y8aOC1xJoiTA2ckn9KIJc0AbWA20WVDAyZSZoL1wQz1fUYlVYf2ZNJuomCJhFkguT3LwbOr7WicMZFeALfKvDujUrPMuzNz0sFp5oIgb4MIGiGazCjANBcybM4foJe2LvjEkwugVun/+cz9Px94IMnfeF6oUNTSFoTfm5nxewMDcGE9qQkkEwowy4FkAbM7sQM48SuVjZ44E0S7a/n7ro0eWDGgWvrMcC9MOFSjd1sSsMyYATJqwMx9p6VkPi1tVniweTpJeJhWAK/K7HlLpWaZPW9NWGuHI6+tTnIqqQC7PGhA9VNYudr5TUubAV5oHVjtR9sNACkNpJ48C9TJjeX7aslEKdVhWbZvviU3MaCaAhhLrg4V3d0s92jkBmo/1ROrQ0SZEJW6jpqHWtqs8B6aoTWOboan0wvgVpnfF1RqlvmNWrxTs6cWs0wowCwP0ggm8qHX1+a2llYdnmWid7+lzWuVVB3axO0Ek67nBlZb66yeWgCzylhcUqlZxuLS6pnuifc1Qk8mFGCWDWlgATexLbvnWIFtqn05kV4Z7iXX52FVkzqeXB0qjamDkfPbfVgcLctXh5aszBlaKOVPUx4abAATX75WHEuqDG2ArP+z9+Q9QU/VSOmpBTCrzMwrKjXLzLwyQ9OxrSPPH2iiTyy1AMccmHACP/JaviVCDceSCqBV6TG/9ThLj68d+8k2L0euYmYqaUHY3c6M3a2Ji+KyHdeIxlILcMyB6QWolj4yx/pRMJZaALNKv5sz97tp+uabd+ihP/Y8pVeOJxdgmQ+1fzYBHhYHKdKqw2ubvgOHvje47wU6NVM51WHD5ueap97AUmo4La06PK9rm++Bp0J/FUAtsTrE0QDYwaljjhS8KGkGaIEJAkS3qwmPWloBvCoz8j2VmmVGvofDZBCYZ6NOLzJHpZILsMyBardDz7fNNyN8glAJQIn0ArhVev9x5t5/fPJc12qGPj7+FzwqHWsyY0GY/jEzpn94njXBO6aw8LSjZjx5BixFukREGk9v0beJ3BfRE7KpQlGWsZymQ56gCRUvwrf7Pqxy/Sb82GrhQ4HWRscKTdvZ6Jifrc6j2x56ncde79FpWb12+/Nw4Pacgdt1xCvthwQn0d2o2ZxhyEfL7HTQGXPgfUOpZd3zexuWu/auuYF3vrreVy6A94dR8CRirLUma+QbKHwVTrjkolEiD1wilOWKtA3rayhcLQXRgo3Qdq2JtcaobdTWXwmsrrH6QnASBnBuCBHiBu5s93iyuIEomB+ib/zP3+ubrQn8RSMgukoeXscRbUrhlJj9acSWNm6Pmw/N24dDz+3avQ26moYvCh96g6EZ2i15ustqTrQxJeZHFMkj8rFnr5TXBlDWuMNtwjL4dsYPEMwlQtJgLNnfEZs3In8IcsNcauz9vwDgjFrSyxOvtxieGcAPulroeoZHDsHGNXoBonclenoFoQFTDN1FOxPp6kro2Jjlku8OOZO20Kd95HbIcWLdOHbwtBmuGj006HVHzir50tNlUfJ3Eg6HCA3dLcyxOVlnk7sYLW0SHEB3sChdh52gsyK0M6HQJ84oDCcA2zeDPvyrfE7Hfdjagr4RjNrtUcv+m3Hi+Yj9JPKPH1sOjJklED7yKBHdp2HmoqsjOnDaXWoPO4i5IV4HRxJ0bJgIpPOEjodjuhyLHnx8JV9cCfWEF2eF6TdDyJk3MBEnximIqokrKphJF5BTd002Mq+QrGK6OshST7Bk+pbH33B0ljLvcVDOUv6lDXwwudqdjJUpVzFW/goXMARZMi9YIEnuqt6fkACL70cg6Je4/iBan369ARGYUmSu2wuMSNHtBMRgpssHZS4eiOZjFwuwwXnuDUiYGfcCMu4EYGsv4vIfoZFy6Ud3fmz2O3vrizkX98anCS549RzO9gx7qjM9tvZxHl95fLiZ21oyCtzgscgK8l7h2i4+Yh7qsbSEhznnpd2/RYbm1M0JCb9sToy7VXNa3C2a05LeyyI57pPMabpPMacknX9Fsu7Sq6Oo4xJzq9ULaX6xApWEU2s0ADlOqVgN418Ue4HmX21fhCvqMiKxsrKPTwQb1IuUy6fKiHlyytSEJ2aUrBwpoyR2fTSiBN2jUabpPokyTfcqjKUJv0CZpnn2RUm6cx519UB1Ne4WJxM1vzaqcKgqJF3HVHrS7SuVw95cIjXujUWtHKlW4n5QMlFzZKIKx6qCciKSCbonkJYmfHmiFOmPoyUIpxqZIh1j1HfMvYUwOVOYJL1HtHTdKYSqnatqujcG5b1ReZEnhPzW/Rm0NN0jIZEcORRE6codIJ5EFn3C4K3CQLOmRynKIh4lxYzaKlUYpWVC3LIsU3XLsEzTbLvxpMg8S4heKEQjs2j0rYybMknZJ2VKzMZIIC8VyMi6J76TNrqoWMzEJlMzrGAqLzJuqRRpoJKNxYxMhNqVQi1u3pGJyj5D5a9V+WtlHKGsW5UVt0zIxJhpgao0VZWEUl9LlUp5mZTUnkcZmlJcJul6bZmmNNNRitIuE1rvFVoJza5MTWhmqdZHVSup+OQCf6gCCUVktLNlaQxZqrhnbR3vXlO0PCW1gHQcAMhC66ZAz6XJk1BJa5aCObMqToJlXVlsE1fqtKhtktCUGuv/Z+9LmNs2koX/CnZVKUd8uk/bW6kUJVGWYl0RaSteeVcfSIIkLBCgAVI0Xa797V8fM5gDAElQdJLNe045JhqDnp6rp6/pmavXim1jhJYS/8xhyVrV0mx8l5wye/trzn5OTpndnd3dgx1V+YyUMmlGD/2G8q3tl9v7+9v7Vk4ZWzIie8bM3DKEbfuVwLac3DLzWM5e/BdYzHA+lTSP/UlMY2xE/SumuPncS1ydkEVT3Ph4d4pHve0mnVGLWpeb5MYrSnJzFv/6+VX/Yjd2fz09HN20l5rJhuyaVTsX049ugDnyVmG4OW0ajTvuR+JRa5ZhHxU+L/NmltQJoNx0dzAvQUcCdR6lg7azt7W1trW1haYsycU4q4X6ZGY1WmYaKmtmokmJ4IwvZ2jYZwMibzPcDH6ZrWqBy2PVXeGEruBG1ymlnn2Jq8J9FZFJhttYcM2PKo2SjAO7cep1GBZ8Pc89RgYR3QiW+wBtRdihkd9e95LPwK4xUSSIUEG2ilxMmB40GiUBcsWeO9S8I5+QdGRlrSjKwVaO4POOE3peGxPNCesamrYou1cWdREG4uFkWGp7sADRNJkAWxarKoH9sqXyAGISsbQOtFVgjsCI8rbTFsSsFhiw5plYvH1HWOGTn9NPucVhzSJvkOYUoDgOeT8gnqGxBIdzKeKuo08iNN47n7z4MVthqTuk8tiLsJCbsxb6i9Kkyn0OyXrUut9P9NLTeRo9QBeMYX/H5sPmCKOEkvnAi2D4EJZuEmLXLcDCs8LpeF6AmeNEnkNOasqJDlk64DSFeR61vB7AH1pEldx3E6oLzbsgmEXsg+B2Atv1w9eEfBqXnTciAURDWHhaJ/KsyYCphllu5BkVgX4G8ogKNxXPS0HdbgeTBMT3pDPRG2HBl1EVKMQh8q8kr9PyXi6j0nchJl9tDbWD3QqkKtAmXdkaxsNOihp+z4czjRughxke1tRveq7xnGrinAr56k/h10eBPBWfaL1jxskiJjNPsxdwLEtPBybRbaJGlgpzTRS18QGUpJEbBBNLpMSvnycXIgN5KPkHv6lU5pEO0X5SAj8WXnFIOKQ6svIf4fv27Rv87/U6/aF/8VmKT9+kZPRCSETi5Uyx5pslsbywJRVENE3cwJffU5LA+lNx4NtiO/0LfYf/hr2JnfgxVFvzi7m25BfmVoyISu67+EnZTVbRW6nMvXnyJHTW0YxnbX4pXO5VDCCItcWkRfN4vnqr2DQRy0BgsPSkKbuGoenvdU5v66LrSw2b1LOfbYDa3nq15mxvHWZNUHtbu3s7+4oswwRVQBaWoSmOtOn2KamOa/apna3Dlzv7L7deWvYpDR9r3HNaqAjfzo7AtxwL1ew9gLerJVpQoDrdbvEdDCjl98MZIqSSPnOleCaBQxqIe/Lm0ESrFM4VDzMxhxN5M0QAw9qeoMHPhQ+KrQj0a4ZYY8jTfZE1HecsmeT7biuONvteH2ZTFy8jwekk3v04NIIyWr0RXkKQgE6VrCIfTsjbn/RgA7CKAhv3mniDARdpgSCz+rPj3IhM2Iz+3e0FTqOIQEhpXmip4dDGW538pL/JvflzArOs6cZprB2Gz+Ag/4TyEY+cBFFHsQDHm4vdp9PkOqtTq8BGObkxW1pwA8YmBLAdo6H1tM6H5fitSo/vtumWNHNMjHZrTSRffRcvDENnqgjBT3k6XyVGb1TL1vKaNGdNHfczV3GN9xBUf52CFVpL17Bgk8e9KOCxm7MergR/qhrsCnhXTRcPbNajAUk58lbV/FHKi9rl9aMCzAovpRREpjK/eFZEajXPJ+jOtM3uDPRi89hm0edmCCLP4yq88ZPb8k/MGO7lEi6Oc5nCFgyWsCrXfqVC8kbF4aVcyVnBlcy6rVTu89Yf3SNYsGpX1yrYvfdiUWWLwrKjMtk1BV9hiewnq1CcV8gLY2Vggwqnu0LyN9orLQO/eKcpX3Pmrv/nh0Hj5nq49250c3HTPQ2WatYHLaT1+HkUDYXhDGG9A/x9J9xC0LK0YanWULC0N8eKybWMaysNdvc3i5s1ULanhcH3OHgBhpwJPQajPIbJz5yvPb/OFt0XB59yzXQlBC0JuttG1Uu/rC2eGysZWl535MHyBRV7bxW33h2dBWeDU6btxE9aIxLEtM2N2fCrg4MtpklzLvB2KsmbUS10SgOWYNXisxrM6ov8DTjbyUMxChbrluDSWG89Fk2vOzatmTelcZ8AXxp6t8Acur6eb8oAL4i1GjJVyqBowRfFKyLUtPwH9ovSmO8ap0fqkIwGKI2pCdpG+zw8ph0oRWdAS+OE7uqiWjWIo0+gqqZYLfgUvEXH6nLqM5fjYbt3t3PANb73k5EbOMcgGKCVA79a+pJ06Q/P5vSPWkl5b6c0O7+OavvJb4lFri1TE1waq1jlT76WbFeDlcYHn0rZBDbvEXJBfeDtd1PwLzz4l4/jL16Va+WAHyy89DFPHj3YmNXtKeJ5Sovy8XRAgBv2MG5eLRENVhofSBhuqPNbCSiNyQ2BK/G0pVhwNUGsF6UxY9js0I0nYqZpKUisF1MwLzw/zuvQsb9xlbUvFedNHI0GyfeZJN6XFjQlCrR5okBTGleErT9KAl8NrQQsgOmTN9bQwNMCOFqZLU2DLYCvH8V9jV9IwAKYzvywrTIMiOcF8DzAJoW3jblaPhsDugDOT0bHT+v3haf440EQ373iajCCXpr6TYPBzCk//zwX3EBXDgx1YJ4mGGjKmWxKox/g8S/GvL5+jkc5QI8qRlc0EKanMk+LmA/IYMuTbxeiInTzh2gHWi/4Pt127D8JU5x5NwgZWlBtdkP07FlfcJBk7CUDjEpHNRAnCWzQgYtaHToJH1N9kD6lQj0vGEDJCIBup0NeiA0iWNKPDwWGLBng9oRKxUY7wnjpBAMdsb4oxnMaFFcMagdspv4AlthmLNpLhPGgpYdUT4gqa+g0I9i3XIsoTqUNf7i50w0O90XuPqW2KWwFn7d6buwPJ6H75HfR9E8U/9x0Jz9xkPBGMur3YRdLLarw3m//tHuw85LrunXRomBSbfSeXePi/bUCvArE7SRpuiI3U0G13JPk2huAhk6aOVrV0rOtmqsQDQZey6MpFLagN1HpyO2qQiMTGWF4TvEpKnmAil15D+NeREenHtDh6LUfOoHraw1QQ3xav3TopW2K1oaRfupGR3ttaavFxJ5nIrHqQTcu3Q2pxZ4FbgwMZugIOQZNSaP+Bt7TDZgGeBll7KEPko4aCrRrjtsNowSHEdY2B9e2RoDJwQMVaDqJsRqiJy8QiB7IMCIuWRWRvRzWYxRlJmGMlz00CzDgHNZjdqY8sc4SeWHV+VsI9cjU7/iju/O3nK42jx9ku4IebgI+BIYHrtnSRFYtGBtaBjGbFEaJMlWZDTPImmvmQxvF3bx0HvyBLsr1HuiC4eihP3kQNT24yUPTA4Ie3PBBzKaNXWFpSq1gxH7LNLg8wTgvH9N7g+ounkIm2ITPxloUZKu89Zh7tL0ZwxirgptoNfZlJJR4UDVlr8YsRPQIyqyBDAFklLYwzpxlOla8qTnFKB6mdQTn98ntfK8Ju8pwIwmjKPSGxNNFtWLHQ7eEuIdWkeSc3x7Tle7Z/ERmLqFnBS2f+sHQE4nrv1NUstjQoXHJ5xHFszQ9PLA/xKvasfaiQeHP1bPqBQpVwtO4Hb8lua606LN5Fv3kolVF8aczCS8gSxwX+vnzT+g6eT3xkh92tmibev0jH4haBQDFZr2G524qKmAwQOy3hg9J/JNwfZMDJoqHP4XeeIUbAjhp1eGp9bxdfSpFSyMjjLQUQSUISPyh98NuFXjrkP2Tc9f4BFuPkNdK1EcNhgo560O5GrG3F64QJeVy1e0sXNcgCnzgxyWbt7twfbDFBEG5yvYWrqzpNpU0PVdd+wvXFXSbfIxg7rqEpXmBusQd5OWqO1y4ur43dMvVtb1wXSHl7SlXm1CPzNqKmfOswwHP2vTwhbL8JSPayE8wbpAqEwD6rRkI5zrak9d/JFuwmscF3w2EJFojoN0n32cb3tvcXd9nNLOOgBgNkQ5uasyQVdJWFCLlsNHubG2L5QgzECaBGzpVUdK5ArHm2NC5151Lrz8AqXbNaVxlaCm3O+9tvlrfeX6D6FwnGU6wZRvuaBOatLe5vbO5tbcZR00/XAc92FvvuYMBKkbJ+rAXo/l+XSxwoZvcYlHnHM9SNkCxMBpdHcECAao4o+Bzmry9u779KoMlt3Bum3tJEgHZw8nG2P9CuoDwbSRjzxN3olXP6k5dQJ07ABttuXDDlpv0/Nhbc97x9QrPatDhsxoUeq2EpySXuarhjENhus6jo6WZE20yBcl158obOx+i+HHNueJ8qM9qzstnNYf1NBdkvw7wVK1dtwQ8RbsDT3k1HJyXY815y9mVn0P9zm4GRW7JItIx9U4wEaaNtjvRGnBNr5y6MHucuFoGX2jGmyBquqzmPKsBe+s7BxksuYUzbcBUAZ+9dosZgSD719qJgyzOIPYSlkAPhsKLl7IEnkO0nDOYiAgpxxUtZgyCcC0g+Y5Y5Q5aDDeMxtz6rV4/Cttrznu+/fJZTXkGP+Z5H7b0NnhVAMlGGGSfgU4ZxRNYtHy93eJUZz4vLKVkgbl2eSwoRAlSgakiAWAjE//Gswz6O62dWqmOuBI6B0E/MhHo75ggEaGafV2MdMiX3OS8cdt8gCznlbBlZ1qjS1FFA/VdJb43ZGZlxPOIcd9LCMMXhZOHTeba5ElNfWlB55j9E84JOnmEuJpjFmdK55nUxQOyjMZsis2AD5740qZj2VjlrlDlQkPRSnlv+fMaOIvCaIhZsPLIOqPoiqGL+dQWIen3m97VJPHRZy0yw/9Ok5cF/f4x6TLXMn6THx14nrdrylWsbXticiXDUZv4Du7bXQr5GKLPLOwO3NajJ5DUEYbB20I/cY6DUdMBFeUD+gHqrV4U2XbW5VMslI5YxEnSXodpXDfdIPC9T0AubHibeD5w3U0mwai//uh5g/WWG/TX0aLN2K/gvVOl9z/PS/Ks+Zcy67z1khM2Thp+9jQJx8mDnBd0KNunRR7VskCVBvILP7RvahZ46feMUwfpoVlREx/N+hOcJM7zR/4RDshsUoN5unWBU8u3owRmUPAicYaeO4joNKB1sg6xO5QZe8XJ7x8RwnCfCVg3zwXQOYK/OZXKfNHq91YUuoWMzTfw/Wql8jGGDsKOEX+dDKDi3GuB4xUeSgrIqaQnNoxg89UsDs4hp8eH55cQk0JGfOcXyoRpF5SzgrGnFVKx1VNLqUjp/GJp2HP+azOWOb/M0IpNtkvBaFhxw1NHhOONC0ckNwC4oKwV5ptfSAwgRe3mlxhmY20zJdOEeFPbxuG0hW2TYbD5b/Xg1vwSabhq/ms71LSgmB03mikGbdViPac2mONDCxushXQWFRBRmkWvMfSy6J0KqSwqIYIki15z5GPRWz2esajMpyx10Ht2GKHdaxxyuGp2bQYRYspnu7lF84JOrG+1U2K5KNLwPus7igCkT/AvZoUQP+nLlRVR0o6xc9Jp4fweYXWOVl+lIpJYp2Fv6RgsHh6Gx+C+6VtPitOMkVvFUhy2lpYoFQanQuBWuU33S6BeD24TaJ8fxnZfqaiYsopiD9PjY8qGsjF/wb+Y4yQrtFQqqVj34vuLcxtEDf0vL4IM4SBczbEesSusJcltVLFfWQYgAqIwlUzbuccArux7IUTh3/LRWrB0VKzUnAP6zAgtjd77bLTUnDTIoKu0H/UgqnsRvZTtq5wIqtU1514PeZr+kRYttcohUfciumn6d6JQSi5I5PezA5dUZxQHQaUov4lgpG/08BqT8uCP2fFDWt3zBQYx4nujxZmoHmYTrz9+FOE0Hz+u8o0uKpwmx/M9JZpntaDCJdQjwnWKashE5cxESNE4Rehygm5mIsTOmIUvjamZiW1nFiojZGYmut1Z6FREzExce7NwpQEvM1Htz0KVxrPMRHUwC5UerjIT2+EsbGk0ykxU27NQacEmM5G9XKWVTau78m+K6KiAnOV8u7dCLrK8jiUV/h5ZD/zFnxQ18e2+MLghZXCMLDc+YtWMe2C0GLzw7d6KGrCxPT84AetOww+4ZoohgCbZbn5V+fQoAURpRgEIvOjK/3Zf4ILX3O9pRcp7jzh1R7zAiN70b7i/p85va3c1XOVMmPKHM5Kd3W+YmN7yPht4cv3WiI3d0gIPumm/3UuPMCOwnMY00oZ32Ph2ik/WbJfuzkWcupNWYMTJY7hHNelec6Ti15qvlFbGt8r9v3lT/Tea+grXgvNvTJPxb3QvOv8WjkTn3wiCXfbfbrstoRupPPSNHW3f1BYut3EQvdUubXqxUBC3SWCZm5fjPeZfKXQRFX+dcT6RpgPI8h07UxCRj0jjLcrfYsoq98ep84NwMbdQHpLVb6wfzeOLMGbEnJ4OiV93EBh4BF9Z2P+g+gAVBsPSb3LxrMPAzDNjo0Gb/hQMy7thQZjz7fx2O1trmBsum99uZ+vlwdZ+UYI7UYuZw47TFhk57LZ39rYPt7etHHayrWQc92dnrtOxLCdzXZ56+nsqp+xrYBdMUXa8g79IejxypojkVLiWHFdcw8B5Kk29fINur+tj9lBktJy9VBo5KH9iM/rCqT6H9hWCMD7Q6fDg4Q1ipBIRv6leXKjsonzjndM4P31XeOIMfyhPNw46f9nyKLUhtCCmWzHaXsdrsZUMhnsTFS7vCxrPWsLCbt9xOArprgxfz+nOk857BHWTnU+q5rK+qBmJxYbR3rZeDKmclVjszzluOFqVyvcYGHTKaQNSqdAKsZJiDf3OSHPsmRmxOkUZsfbfj0ads4tJNbqLd29395eaEcv2pDYikOfWnHNKGg0NfDdwPo6Ak+46LtkKRyHKITK7WRsIdrH9IQ1y1HFGyYaDeXLhiRLHsRG3H5F32BlT7twxmnq15Lax3/aB4VEiYBjC0cCHoQUZAHg6Z9alwcQbiPC+S2SQgYt3a7oBzHceXiSG8oeirSS7Ou0zrgjjQ2H1d0e3tZOT84Zz++6ixiGh5nExTpnFiZHpf3Iq04TzsIniglvvC4w2W7+ZBpltix5sGgR2uo1ji1mKyTvIppHw2uCJTU0lFoB4/oFzWj3lMgHzso9s8gKZP1kz+LQjqBQzMM9RZ7ooXWAGfWh5C1Nm60uUqMimI3g3aKOymRoq6QZZfK2HNuBy4ZkqHggZR/rh+l0TJEadjlrkhJjPP+emJ9C7fTuv2zE37jp6xqjjoSkw7bp+iPcuh+LuoWgsBrhkb5uVbbs2EhZnBQE0EKy0c8JXlDKxw/ByJbp5F5eq2IuyPWzV1czUZbSV1yrhNls4E3ErgxhWLuheWj/yHbop054Pb2ZTU50DfSPHhojtuKMAb6hmWMvF+6AVd2nCDoT6vhdy98Enma7te6Bb4AtEj2x9kG197gzasWfQu9CYLmEUrsNa8sZRPOwJg7e9idgNpcdZU6mBd1KNeNMh5oPscfI35xp0hhAXBjNLTqeOE8d1mj5d/9sBpkIdIxwFmJxc3eadHZ3cdu/a7T6K2j6s/DZekokysHaOwNpCc/tgpoTjXAPrhQqeRkHXVTs7NXwJ3Wk2Zje7MmXufRfqQ5Maigo+7IXIMcVNaIJU3Azx6zk5GackyC4HUnmT104dtNztnddbW9VLsvj803PxqkdKwJqdpPy7Frbxy1HobG+/3n91c+mcuWPXR+192mcG1ZoSjN9AlchYSSDB582+OxBR52e4p/Mdc/Bi/Sve1wZvVROnVKf1eQ6HCnnFOJSHFmrA7VfNAXsKuZzwFadg7OkDA9rd0MNr3ykhqt8pnmUZSnMn/15m8hs3BpWcesiHhTLHwg3PbZR7YFfGkBzSNrGRbrDh3ICaHRF7GQ7R/IA34EUUk8XeqabfjYbxhHsnTq8Fx6vLN5x3iWCZTW+IjqBPeGcn1jxny/ftll9FeI04E+SHnWgNrw5sAgckh9lC/YG2EWoNSd8exp5hyyaOj6Ycn+4GMCuNUfKA4f4RtI0AP+u4j96q3QMu9gHJCcj4XGcQ+1B0zDe927fFo4CLHYVGGMRIBi1xtQL3M6wSvFtxCE0GTQhnJ8pMAV6yTvsM9ARI/TA8gx4uiHCEOgo8en1UcEDXQV89vk/zF6fVoDEZGkIagLwjPpmXMx/YQ4Tz66p+eifmldw5h263uyCzZKExXUIxX6yY4OWP9uKiiqFhUGBNTjrec/BCcFzYITQ3jvPkmNzmHdrNO/biIV6cIcwrLI0GY3eCmmbKG37ssejOEjsGJawu1HSz7sPsPoGzF+fRU4QXfMMm20xAyfTkJpj4wxFNVhj4ZNQCHSbh+WNPHnRToITb90GgSHjKgaaFks6azflQWQoTL6QgPVUD9jfdUTkcA8JRKC1PbhuQMINRGz8RofEbfUNDZYcaKhIkZUYqt2+y/BxVSpIIeVFi98DAtfH6nWyTGj0PxTip9MV8+ybqiUQfjCawAu4W5JR4iy1aMsU82HDERSfIREAUxCWIj4944w+s1WSEN3kiBSRKt70BLkeh98NOjyX8lt920XJBMXsJGyEYK6GReMe9iL7A+JlwiNelAvsJHeQn8AUuaJCmYXA7XjZJC9fimTkldSD1Ias8tMWScwGk2TgC/oXRPXwVEfIr9AZzn88cm6zQjlwCFWhywpESBwPidaH9qFRl5DWbX/6YywNXgSb3CaTCeNTFyKM1uQzETN7E62fY+9SJ3VGbpzlMvc6QBhC1S5fupoWJSux/zeY80BFNmL8TaTJq4a082V7I5SUvbV6CtxSTGZimqBeT/QLajDcYp5swxkyxJBthgE3C4iDaxth5joRJ6xZuMiAXeF2cwtA7MEOg5bA7E5/EDmt7sP+S3Sv2cSPGCcerL7XgYj0ChjfdxOwkBNmGdgt5eqwcHxObLM+plEjcvXFrpAbPy5Ff2b0IMoHbhvU59JNFZQAUK1Dwg5YL0Yi0SBjsfkQRbajzr2OUBsKQZ204l7AWJ8g4kfWSUMPTCS3+LLuHOIKB94R+KNmjsJQCX5j8SFyEHiF+JxkI3ZSEP4T4P8BLrZBhel+Qd8J3a1wG43sRax+HuMszByRPMT7TunFH9kue8G1ERKHqIEKN6MouPkBErkmyrCEbcB0s4GBQJwvOFGQJMw25EE1n8neSauz18OIdvE5MMXlNZjezmPX28On03fFb592Nc33qNM5qzl2txid6+a0sm2MOJ4ZBx+OVeHDno+fgtckWU7csB13ubo2DscgrBZvChft1crL1xqLUml9zGv9uYu+JouOYjoR1sULzH781Mug/6xQadsYmrkRCPPOcJQjvTMLvcVxtyiBs7W1u7W9u7zvrtDfAP+cOxZk6eDvHIELHqjB+jJ3+xOn6cdBBrkVBh3ibxHk6BfpOC0hmR8Dp5QU1Iv9w1mySN0eban7MmC+Fx76e2UsHXz6JXLNbu5s7r7Reak6IuY5he8KlhwpNK0AOnklnUrbRyRj26wiDDR8G0O0iLagNnVLL8jpg5+v24c6e6oAdswNANY9HA9p4YF6AXJV4eBegxhDwupT1vouRzXoilAzJsynj2fBwBspFFD9UR4BQnIrLgKfUs8SumbQe46e0a7b1FQRdQ0yadmTNnu3S2mHlFSQPfN1yp5E7myrolqMRqCR9P3m48/y4/dCIYBZyybw3U2pbYud86fS/fk07Z+ul2Tl9NxmO4ibxCSGNuR1UJUHn7HqxlhojQ+NsUqBHfvG+fBHLhn5OwTfnGVF6tjceBs+T2ph2oNTVwkujnsqDp8RMmW/kbVYyvpztYcL6pWESVoZRU8gmc7ip5t/n8HcqR3O3GBsb/j4Flj9Ctyu0KVNk0R1NFtIHtuWG/sCdNCd02pFHOAOmevJHOw9rvHmjpbC/yeSuL5wts8mFxj60cYdMKU0hUyrJwxVvNjEoLp7graMpsRpM4csqpe3oN/Tj+cMP6ZcKNO3D9+4gisdQR/pdCpn22U0Uh71RE/1GaARVfWvCp6F4BPWUXM2gjMMu43ZBGE/x5L2chqypW+vxYUrnlxxhkIOGX2WeSvU8pYI8PPHmBTLB5ihopnSmkGktuwVJIOrjqdhTt6X1tAWfQk7J9nah24fBZPtQJD0zQFOqycMWb0ZBm02w0maaNiDzZlovgM7ju2EBpryX05CBatiOYHaOYnW9twab0saSXfnrCNS8h356w4QGmVJJHq54Exs2cAOVMVYCprX0LoqT4XXnsn7j+todECZ4GgLZnSCUqqmnA6e0o2RnDf2vIOFJDVkDTKkiD1O8eeyiWfUYA9RjvJxYu5Qj+2pa67n0G3QKWBgINoWwkm0fTOJoHAUdkUFSh0ypJA9XvHlyc/s2pRYfpmAoSeYNSPnB5KvXPvVjyast6JTK8nDGm29iYGQNtB+CZB+9Tym34ApvdpiSAUzI9EN6mlY8imQyHPEwheaSHVQf+92uP5zUx65cbSZwSlV5GKE1bLHGQ3tDN3iEf1VDM6+mYJ9TCOb3lrybYxmqXl1dv7s6rl3WrhqEY5o1J2ssNJFd1e6cxvVJ9YNz7tTfHbFJRzN0233SOD9p3DbSfuBH1Xbnx3PnxG+jO8K5Jc0DE2J0V6nELDu7UVe+TQ/txpvnyVU0PGVRYBP961L+oGg8aMiVNxxHutCW101ZaoQJsx2xg84Tzl8yreZdbZlPojBoYhIP+NL7eRj99MPOaQx/FaFmu6UJdFSc/EkquBic7iQRxgTicSHOSoI68Ih90kUuJ9uGqt8YMivcNU2oIrs3jXXkwOo/Q26b2sXx9WUNZnLOhD19p01X0BHTTuWbRnMCkzMNZcP/7xrQeeGhlwR0+UePLc6shpLtXHiGOcUMu92fvISDQMmUqM8L495krZF3vQlNdz6k7HyKoBGj5LVzrjukO6MwJC9Betf8mtNCi5y3zjFaaxxcuo5hZPQ26fuBt46pJFr0jASvd6Oovaa1c83pjfpRLP6RAC/GH9wBUE0UBWuOO/awo9jr2ydR2JFBa5m4lCaeJVCjFIWOWJd6F8wz5RfINnQWjZ22TxGPFBbnjAY/W2HHWOwvFjtMMwo6bWVlxQoNTuHwp2w0MGJd2dpwOPa8ILD34995aW/QXdIV4YCaGZsrP5sdi4tIcwNvN9mzNCuollqxLVsxZ5ysaEylsu3i7w+ZCNcXhZGt4rsmfjczWlUUbmFhtBhMi0AVZTFMf+lRpS9yo0mp63aw6xYJEAUyiebvFvRJ5O0ieflxnCVjOK3DECViN9UF8rs0XcqFXYp5/BoxzBU/iQVnBUtimfuCGEfjrGBhmOSqaBFP5O8X1Gh1Ow3qHg2qjE8Ui/HPEXJI9O0jfTOiCAXVImbh/wID7cBA6sgDyZeLY/2MfeVFJmzvRalwPar0ECtdPAKPCOLFcUjLHYf4Lxk9x/wbmkk84P8C4ZBV62Fu8wW3iT6kPf6/KWAN11p+oBqtope4ip4be/bid405M1ny9DAyauMrwef1yDAp1vylor2wtSI53VJCsorTY1nBYCBlrK+vU6KpFScnSgt6GpO5cgzWCxV7dd9Ig2S0lBh62A/m75LKTyZkKqsWfQzTwCbnG+7/cZohBp4xT0x4v4QYohdW7FAR8ZjDQm/iph4mtIq0zB2pk1MFBvxQFXa8DVVkA2V188XFYD6BSIuHyVTP4TayhWZQi2yoCRUEPCP6JEsEBbYQEXnxI0RH3gtBStlYj2z9FDtC9VPwBlVIv1ZxLdKaEFMU63iRE0mhz+Hc4IkXRtAEok3ZNdSrhzNQhd+o0k070ACKblLEgEMvh9K3z3DNOU/bo3K502PqSacnyzVOsDw3N71AFzZXKdzNXGHqMaZCtmsYiytXLX+R8bLSl3keU3oxUW5Qrj51WDI66XSkwqYbkUC6axCzUuFugf0mXHmMJOuEo291bxt+lLrA+CvyayHc8DfxO8tZxLIK+oHoFzl88EvdE8MfZn0oYvqBYK65OJSOa/sqKpR2ll0QRY4H/vLe8gwU7RJF7gVi6VIVmOoguK9UlDm/OAXodCcB6lwzzf00vtRjWgqR75a8Zm8nJ3fNq91X+9u7qnYjd83f65x6h61DZDFCQvVcNjJThpbLZnd36+XOq+39PSuXDe3eZHedmcjGRLGkRDbKwUBT7vTd36j3/1qeAmxRsVvgxZ/eHSAsOoVuAPZXFSUCWiAPEJo19FQvan2ICfWHJQLCH8qR+Ob8lHVhTlnD/hD1+mMoONvY5dzGxNFcBz5Ls00bfjXB1IDyUYz8jCuPPdwAcTKhUodfa6EDMGkSkA1EQgMbU0ZaH0durw2qJ0vs2BciJOrHW8yRg6ovO5WVfzfr4jI7AXOAcdJVXKR9FDDRHpztDFZHyJJLaTuq7TZ/p0A4/4ao9ZOsReuFho7sD/Kl1KmDqEW2kFHY5sJiyyDHxkL94WNics4xTIQRL5MNEv1EuYQW6affbq7rDYfY+PRJcxyDuqdsoR0/hIVJ1vS2SJ/J6SIIFa7MPk4MtEQ9t9Eb+0dfsOKN/ROQHbrJxs4p0/sAhIi8TM/thgaw/8EEtexLL8H8nF9JpJcGhTCYsGdV75E7YaS+A8JPgHDBFeVXPz+z2WNAj0O9sbMjyzyg5hP7bgCwjd3TOdcI/Z7hA5U8rSDLVfxySMmZZLF5slxVKjYjQrlqNu+5z+EsqWSVMqFVxWLutR4oEsHsfiYeQzpQpVLEKpBc5g4f/55yhY9/XyY3uNdm7LykT2UHoklFq5qaNG0hv8hfwM+kc54VLCifYyFiI2auvUUmRanFR1kk7SRmsqwWM2AmMmsWJTLrhNcH57F3uZc81Pp77cb5u52zYf+fD1eN8WH7n21Q4tyLp+HbcfPr5VJznPX25S+DU2Eu2uLeEmJVsrnz2d/+1NtEGQwvMojTvsLUwg9swU82f+bqjlBSA1lYjhlmmt3DKIhtj68sVZyLqcrw65TElXDihs1YhOjlsz0R/ERHL/GXYt325OF7z6xIrIIzm3z7JK10bA6qYBQw0CJGMe6BAIzLXD+GnQBD8Nq8f/DnhaFIPPnpY3It97U10GXPGCVTB9l41PYjrSSnT2cLKikHyJi6ogQSgkPj4Nj8LQUVUHEVOeSxcFE1GaLbgiMKEr+Dhh/KCc3W73CIhgEZH0LqDygNolNAqSEDLucnN/rCWUc9l8gkMzPxRXixDq8HqIwMiuKYaLa8/J12VmQe0Lr1tjcABV2LWSHrtZp1+hyeOfn4XgK1CJoTIW7OPwfnb7l1LcDAb6ExLp01lPAcujwFSLcJJ0XnXpAfqeauYwABZpsWOfsz7X4+pWgbHrgDL/6f69v/+WH/6K56cXFTvand/rB/Uo78FJPRgJtj3GLqfTcekqv5O7Thh91q1+88YQPk89hr8lmzLLHFjRr+BC3gtiA+oxnV0MeJ2/6OI0GMppi6vC7nT3Q6r6JwvT9KMOxKcq7vQCrVUI5U/kSRis4WdoO+do7QZKI4bB2D4hoot3032om3L9AA3hSMHgc5OwkACsx0vIZBDs49Ff3Xd+n5BQjPkqxPEvV2PkqRSnJ4vIrG/vYKumTkURL+bdR0qUDzoZ+7I3CTLmh2cffoKxy/10l9E1F0jg97LSxzkgG+A914/wru4mw0RpaVwORvRl+KiS5onNYWDaM5NRWc3L7LaVAqk25/iv1XSfrioSM8UA/uYJA8dL3hA/qnH9C/HEQuhrDDKhHp+vpREwU4KGnNl/Z6axQTp028wGtJJzmifA71UgrIDgdq0bP6OjMmWufT93obqng3WoASZHqPkMbcsDiGxDynMcVzS775YeeIIlievLbZiNAbz2qs1ra76+rZybuTmlO9ubm9fl87mW+wUmtxKnspI6847W20nKUvim92FpA4mVYhsJ6+u7hw3tdu6+fXV4pa+mUKefYRc4RFmWM9F+dXb53Ti+r5LRGmxEYQpstTOt2kIFaGfFTUc5dZImv2oA3bIkwyNcvE88idx7LADeDfGvXOVEMIzbtCi+Z8LXeu+ISKKoiGLbyCNGNNdG4uatV6zSre9bvdAAMCHzH6o+uj785zXrOdb0r1m/qMKchaQFNdhifGnuoHisrAoLDnjYxAyZ1/ARwhJGOMPgANcoJRPBTXqYLRB8AV4PnJd1lDxHhVPq62EHMq9sBK+hU/4kjFn26J/h92tvBHrHixQPUTRj3D2x/2m7gYf9hvw4OfwP/cEH9hvJ0/JOkcHrkz1ugtFkT9MfdjYI5RB/5FPZ7+wWIyKB5+Kk66Jcjrufjx9v7W1g87Tfg1Gjzh1a0bK9yJIlSXh0F1/jyD+7+w01Q3qdV1W7u5vm041Svn/OKi9ua8cX5ZbdQcBNdzj2Qq1p6znaR7D8or5LKkkuYmkH+OMx0uTXBggjWANsTrFAdKJkaCZhlUHtbGqGliRYCB9T3K5gnZYkvhDbXD3SnEwHxJykwJxHU0J8U3PT+IkmjQk7kjsi+Mahp4dQYzvBJ1Ick3kXbEXQIM3Ff107spCM2pMmMBUoBKLEd2s58yWybh8t1F45xPYSkS6Ne0rcE6G5pv/gVaZIAR83lzvlnVmdbaYpTDsY8BCkvE6PX9YNJ2n/xkA/b3dgt4DWEfgn7xuAksxw2T9SSS/K/sVwVU0cMMh5o6RwtS51ENvTEFpmIMgK43rq9qJxyx8Cc4YbuweTu7ObNJe023ZHMwch9kBQwU+l1N28L7SAIVtCrAEySA1e27ZGJPhiMM8KRWJv2IaBvjWbEoBpkQnzjaBkPgE4xSobui8Voxsn1jsIq8qHDNUcxnzbkUjYWPLt1hb82phbA5eXS4YM05D4IRKSHUMcdR0gcuOMZoULyGcUNvyzxTb4HzrI1RTLcsooqUDCd4IM4TQcY88sduHDh1XBkvEjwH0LYcUIiEQkTvp3l52BG3XN8S+Q3v//WjdAnRM1JSqWT8PCK6cOb0xiUppjWfwtEdM/M5ZQpn7Qs1W18g6mV7WxTtzmwvCxIgNNT76d6O7+NDFfNCDVmRd4RH7l74IuYgZornwzCbmNYGvOHS8G1QrakLoXy9hh/jPvVi/GseQmwfBdGCLoDSZExzReSYWwy6yO5CN7+avgaihiZ8aXI0n8KMLsj6DahatmSXrlb5B6ZWSybKjA9As/8rGnjhL0iJMppPJWeaLZ8oWZCGuavP2OW5/WRDT6vFKjMGeLrClk3xNHeBWZanMzWpzz1Tc2zmVL9mkC5NxnQL+ZQeNEnL2L5FX0qz8xx0pRvkYoZuHpMCEyl+SRShPbiYFsmes32Umq1zOiF/sArt0qlNmgjK2HyLqSseQfnGtkMbNugcylNiCztuum1Z7m/ClnyfYxSeozm4qa7SkkdJz9necDQzcKUCO/x9aqWdE910yy8eQv4Y7mw4bMKtVDSz7T3bUxeoZx6T7eoM62x+mBpSu7vhoNm1UlGmVjw7zdbVSqXIosryxVRz6L0yYi7QaoFytbzVk6Z/UY1z2uim2ef+W2xzpkFzFQ/fTDXNLXIe5y/Xaak2lPIl3D7I7ohv6ExV+kozGGqv0P7nGFY/4yWoqMgYU8udeGkb4JyM2U3DglY0FDTqp3fiCJdm2yoaxULrmFjMrI6mX+fbs1Yz5XKNVGk3rohSc5uQtIMexnGtv9ffHV2eN4iFY5n5z21Jq499cGtvf805yLl0/PBwf2u3+NwWk9Go/dZAMvQDWzLoW798fH/v4ODg8GDLOrCVsj0yLvizDm0Rmt1tgYZY/rMPbZVR6nE0n2eYmlu9/6+0OCHhbIxc4vGp/4pr1BFoG5kzm/zQa/XCKIi6k006a7eJ49F0Ra5TFAWNQo54TbY79hNw4gNM9EJ5I0axuP8bR6M7guIwib28mASTYL7cO8cvmu9AUm6BuhJOAc3nkcepKpBmEKUGuM3hDHQTmpAyxwjJQ5wXx+fULnzg0Uf5S8wFpnmKA4J/39FZx1QI4uVEzae1lo3MyKK4iUC6I6VU5n8RpxgxIw9NDpSlhhxqqDtyBvyhckZJgBqgbC5b0A7UB/igjSYNZuLDluDSKXi9J7J003ETIAv41yMa4vBsNg0EzISx18RUHgnm8CCVMH0pu16KowXIb7whJQDTY3s6o7Aduz6sO8EbfxT5gZy3wCApo50Xr85bA5GvDY/sdTyUiVPfZX2OqhfJGtFmwp1EUQjYclz5OLV8EAbEmQ06PzNJ8zJREhHokjRpVTTwQ9S2iEdjIdgySRULJig6g9qGJ0SQhPS0COtlgqINkUGJWHYH80lRihKPvgHigSSyTVoZ8ZBbp5uQlmss2z+Wa013OHAuNzLt8mKjIaUDRMh2iM9jNkNmFGtIUTjtLObcAq3iQjx5YUVTn2A6Fn26Y6eO1aABsYFHp7lFMiScms6YBpoXLCJRs8D5MaLEWOLiyCzLavRcmDaAzyhAv2d4M2acTPvc2z7Qi81zMk1n+PeF7LpI7izm/6vz8nXsGpuJszheqXxH1sx5DcqwXiw/N5/VOCllg0AuWcQbEfFyGCGRaHK9RTleStRs9oaHz/+abE0TWp/Dte51TlO0lObhW6uSOb1YnCmRvJ9yIBIsrYN7qj7NPWoe3XOLju69Hx+Nuuf93q+908YvveOts0+Xr87vJrVa7fTlq5dnZ8PzneooPNmv3+0t9+geXW90FEdjHGaYMV1annkX9ZW7oogQZG8myoCXdhsR9jB6hbtRtNENNl/FO/1mb6XuwUJAQwW1WD5RXSomY0Zifwtz0PrkHw9XRGIYX8aFqOcp2MvcUGBVe37+5u7ybOXMjdtjV17oIJ+mVDkb89ngKH73tFKPOmgYE5jl0xTMz2jM4Pas82V35TZqRkqKlk9TqpyNediPLi6PVo5ANUU1lDHLpymYn9EYN7p8/FpbEXucqFI+TamyALNC/PbpKKn+unLkR8haRFP4YQraZ7TkuLp//GF7pRG7YYJCAleZPk6pdDbux8udy+67lbq6/oN+TsH5jIaM4uv9G2+lBvq+lFr595TqZmOtfej5n3dX7nzMeyjnlnyagvkZDTkY3J40vZUrN9TmgHyaUuVszB8+Hfeq5yvVc8ZZPZ+Crdx9JLRrZKpWNbdqo+qXX7naC6/rtiakn/Cx5htMl9uQjRNHnTmiwyLQupmPnuo92MEH0WCEkuKQErTmbWWFId9Rq0hKX0k6RISYuljPcdRvueJyWSKLkac4je8Fi+Mko7ntySo8s7AZIIVNZAul1K4YBERp+lH+QQltlHDKI0y2i34w78kLooFIcscJ12ELY20DN8sIs916lIYKP4MtDiQllB7Tiv8BlTXjCPSgZOC1hvGoj+9bWsI4FJqHnCDUD8PoSaYYdpOBH6cPKnUo1953Wz2fo4eEZEq5yT2SF6W6AY0bMKQzQse1uFTb6Eu+DPsWlSgxGYzbsfkS5u0NzC4oJXYuRi+mm8M45vpNqpaJCtIz2znGj3R4dS1NivaDGFSpGDPEk+ZDo6YNkUNZkkmXi7QhUG2eWSem1Wb/CVWZqroeQimxMeYVzhq85p17SHEH8LN8j+oJKpJi5qFuUIJWQ4tV7W6K3Zzqktpi2oOYcNlHazZm+sKseDIfMGo+X1jzSQnnae2SnjNxPCgNdD/5HqsBmPkdOooSN7vqK6HHQu2DyOdUwS5oYROh3YHC5cWitem6MT+mVTRfT/BUEoq+zCNIGjPh7UQi/2mZieev6nPdwZzLonMBY67peCZGQHlO3gzp4YiwH9Hb9zqNzuAchcL+QBquZTWQyqnmMv8HamjcgV84m3+I85Ny3cFUoAhD0cWkTAkFkvMw67aMDafqYBY5vkuE1F9QxLCU5lFBNO9uL6hS464YV1BIAQHocgF9mNJ046qkTsSuwOAY7A118FhC5DQA5GsmZpPGMj0OXX7Lth3Omo9TbIp153U6bfIXt/jSWN0CRrTQ8s7atKvJI+7WFmswoOpzXirsjRK5o7W8e2Xm29OqMtiswWyOn7wJGYqOQZVto+0G275uWGFo0HFaUIhTJoH5/LU/metHMjexgFIDFVpwgN3+g5lLgcHL7k/VbQ03ULdmmmB9QKDNJo55DCKMV5QkOmgFqRTpwj6UtkXVWKafLEajdRSGK+Py4XhhTuVOtUKBYdT30M5Hc69UdVCfbeoDlGQEJDYzigMchxi4DKbWlnamNojwLdwuNMZqGRQRj4sWRcoxLnJygvQ3nUvaB2VIoNjZcI68notZvlkEnEfOUM6wW2HsJSqBh4nbSVUBvHGHWWj7yU94dN2mz4HQWFZNFQowogEGPgIzkqeFBiDUNOz/oNz7Ysl4ePdHC1BTxDiazQFKTaL0ZyFy1LCLLmfOhI+bNk4mzays7aeU83TU33Bk0/6hLJvpjSg8RmhzxO3/CQXYsDtyMRn+UFyWghNKXpWCIxQS4v4adQZtGR2cbpq1lq2C9kUG8w3j7gYH8s4vK2aEGnNgUYCxhxItxkIqweEW5lphN6a176puJQvymiyPBvCeD1sC4tXcu5nWWQS6bdhU2HQsjNEs1ojNeXmI1B7Iwh0eHVlMqNVM4jQXQRBAL4Mb+F8ZL/YTalziqUM3SPmY135KJbmjvrfhnGKMIxWYNehCaqOgSD45oRmWtWs4gol1UNr0D9EqJSRCVQ9B7oEubHvCIYT9Ru9xEWDaZ+yQCPZAOnWB2Xep4xEP0a3x8ZkN3sdliTvA+hhrIlcUfzqr9VaL8ENBf4C3A1k4Sf+bWEmxNpwTlnjzbh36B/IZ/Q4f4/Ye8tmk35u0cIe6n7UjJjApQbIbgh6UPCQDt5/m78KHMp1mXsbKfXQJ+54XAMPy+BDtPD1Hc1L6UDwMNMVuWk8vElAzKU16ybGNlPMytKJQygsFlkCguoCleJrNrOBxn+SvIas9dyJjJ+XmhHlavaz+7IhV8r3oLUHe9ciWpUabmKI+vYtAiGMWVOsbmEYdv4uuN1ziwluG+qRnD0h2hdO1gmZN9mqYvylsaMLLPNDLJm7rETsDkNT18VIzl/c8F5cjjqTgVJG6Jib2kgGsDO8fco7l9zYraT5KeHijCKgf6H8s0fPIElSYK3rrkjHgxl0NaqGLu/zw88gn1zEu9VG3K52Jcv/mb5Q0S4F8woMO8g+aCYQOSjduaNYJvH8nYqsWXkhXpptRmWT9GbtBkoLxxShJ3HoDz0UiOsittQJDD6Z1zIYeDkoQQpEghUwOKCOj/Y4uoGu7E2BnwPpHYc/zkPV36I5DEcrMmPlAIwk/iAlkQxxEqEDczpS6b1Gq9dprsBDH+HvNGcEwOx4qruIeolSqkILdtNG0mSAb3MSFXnWpQwhJKcf4RtoNWUbqQn89FkqhTLE1D8u0F9dcGi3+KroDOR91c+QHbXfQSvFKgEKaFSHzUe3sgVIY23Qa0PJIcSP1UONPEaaQ5zQbNtTRl70wipoqhk2DTaPTnh40ltfEi1K9lkb/uaNeDdtx5Av3tnqeRlsBIuwxhQafyiM5CkB1AXVGpj8yQAod/io3FEf+sBX5KomEeC5P4XEP+IxqJz8ugAY26XpLJKtSz4shGqGBzUBFkPLItGDlFJ0GUwjxV7kBwLtsOtGXFK14Lk/jKTotTNOZApVH98Ztdz2ZL0k9L4DI85TtCR8WQBFFXW0N8aNCg7/KdTpjeINBLBZWgpWn0Ayl0AAmlXNgQtM37MbxJMcUmvOuPKlayFmKWIOVR3iBnDtFRU9mq8uNzaXfiqMk6qhNLIWUp41NeAoTPZZHc+UN657apfmxPJqb2H9yW2o8xfMiiKJu7Pb7Oj/SYOUR3rrthxO6CjROTR0p5ryXqop5a/BCb4xSoB5IkYWXJ92MNdIAC6DCJTAaKJ4gAaVbiws0xYIP5YlRa/wmitVgmGCTsHIL7V1zFA5HKWJ+LN3SOz9sR9pZBPG8KJ4byixhISPgFIy2UEhqAf5S5s/jGC15TJZ1GiRPiziu17UTCxdRl31wUoikhxmB4iqZTTpifIbpT5BQ6QoDAmT4tLwt2bCYblATqfB8zS2f5UeUymbtyYaQ4uB8c+A/+Gcd/vsY3sv4S47lLY7WXP12r8IpM4UzAZh406XcuzOlrbhJQC15TaaoFQiJaGVMYqasFcEIaGWQYaaoFZKIaGV0YKasFUuIaDngLw1/FgXN2EDEmYbpZZDaYX3YBxh7lymox+ghSmbvmWJGdB0gkyFwmYJWwByilLFrmbJWpBugrZ5nCqVBa/IwLZ6opwiySho4VhHhVXaPcdhZ+mFeqBi+u9dju1IcswPDaLbo4V3/+tEoRxUbkP/dcVo0DhyUxUNiRmAhrOLgaWktuIqBugvteXFTAt+8MVHm6M2MdMpS+1eMYlIDNUeQEheeN/5IlP4rxha9mCem6P9Rgf9nBQ+9sCuX3fSMgCAxs0VhOnllhPDw7CgM3BEUfIegHMa8zIAbQxzHYBrq8/sSsTDA2OdxT/GRISB+GVEwEtUfEuHC/FmPW2FyKpVsMEqlMjX+5F4LLoF+tANQVv8XhZlwr6ZhJNndolLB3QA6dGlRIFyHMyMyg0vNKPSiKGyDv8YIhAVDMrhfZKAFoysTSXH/nPgIS2jTYi94Oa+s5AZEMJX3syIbEDuCVpcW2HCP8QlyIc0MaRAsSea20eISuAHPiTeQHNTinvMyy2xYAZM0LWTgmVWKGtDrb7v0pzry7+VQZiaK4cJflTvzn8IXz6T8ufzsonv+F/nQad1lHeO8HEksKfKCc1+ZcprjCJj0QMtnw4MsgakXOP1Mc98KruvM8MqmVAjPqsREHlL5oJycaU3CQykf2dGYPrG7UH8kl58EaE67FKHwuKWPqdNMQoTrK330vMf0NzmNUlT8SD4kCUo9Q/yY48KRJTUnjASRMyXFnvpBUgCLb+KJvRLySfgW1GPqHZCgPLO+fGUa5eUX0pqVPkt7OT9ik+Qr1Tw0U6dNEDZnfpCmY+OJDcA4g0BoEVZbuck4qVmWTLJa2iXcydIkYsKwOH8KM2F3tTKY7W2tOQfb2QRm+9s7e1tbB6pyI4OZqENPXCZzguiJy7a2d3a3Dw73rcRl2i5AFlN/ZuoyA9FyUpfNYR1mS/b/hmxcphtBSAuUqgU3LJbKmiymo92H7AUs+uBCwU2z4/ZhJ3NjFkvgKw4CtbwQwtTOxnZ6aKCiiPpXqlbBliEv8BZypsh1IffP2O/2huk2ooQrppZxp04X06RZjT4/ffin8nyBwA7jd+zHoB7Qvpo4dyCXODcgJhDB7MzCbZJ0Tu/LwCUxGegcRzGp5yjLeV9gvaaBvtlWCjkRO2sUJqi3s+UQ9DTWOihnBktz2MEo3SL7RqGC+gBXhWhoXvPmTvFhtJj7QUpFI1aIMbsHbuuoreEzbAqwmbcoaQy1AVYNZo6EfwF34qNFRXVVWYfKjERDSfCJUneUSTRUqSxn/jI//g7z837WzLMN8TxrOdHRfNMQKV/mnEsVh2dMkrRVi03W3KvfjRKa923O+9+T7TevXh627oaTk+Cs9u6dW7v6xT+vXR16l+HWqHrod347C367Pg1e1TY+DZadRCZvISOFmNF9dzvsDZ/4i7u7Ggi4/T7IU87O1tbO+lU01pjTt2+5LEFhGnTawk1/g8N8W70DwRynYxkkT68mIpLmjntRO47SiAbO9tZrloJ9UL3FeXDFEQqyCZi7gxGkkOVTNtSqQjsEBDM7pc6mln1IZuWDOOp4tFOjboOpyNFsZWNFSYCst047Jg20OeHU2OhJIFO3ZuBFHcAjEwYuCemfylRbXBuwFgRxPgc3COi9yO6Aia7Q+MFrsYOSX5R7mWZ+ACgVee8nPh/zKBgEkwW13e2oLSYAMgzzaIxNfMqo0Eij0UW/8qMk0vcFBDT8szc1ETFpUv2G01PFwgCAfZ656FGRihdNjCP6o92elCEsN9iC2DS9NaMp5k/05IAO0g2hcYEnQ78QKeE0cz/llDxRrCfzwaJZoXKqwReq69DYcynshnhJi4fSMFViiXZmMpUCvAWDq4tlx7DjiAx+hJdHjbx1pIuj9Yd33dSL4cLeE7jChiDMrRvAhp1z2IGwBBIvdjJ2reUyO0HMq+vRWMx0xm+f7KRVl2GC6FJgI2YebjudITZP1GG2lFdLYS6ZkqNXH0SgO8eUTlCE4JUdtqvISRgLezXJ9k4rfGfPIauJyE7nopw0dnqw58M6REsUjgAJIULAwKFxQXlSCAcjdq3Q9Sr1m+vzi9pt/V/S+1dvVG8bOKaEgmpebvfgfqhcyJRWspAjZyrOx48TAj0KfEIH8xpqjvKm5ljSVM60SrS1TdRXLJjSBSNkbZPFhNuOHBk+Xpyg3AquVoqGI2IXiPZt2AZS4ska7oQJZ9vHL4U1dbkdDJOH/crcCbSKYQfn07Vl+7YPvCfZZHx9F61Ejr/hbaCRm4EsupO3n7zObTRm4kyFJQcyX8vxOh1sbSSk/CRASd15ctEVgh2IZYm1YG5xcu+1gJMOnMDF+8B+JEe06Q+JeJvWRZdq+8lveXRxU6AiBg0otZd5CZHpJfrVx00PvXS0ka0irVETtB8RWwIvMVE+WUp58qDDTqT4X+7YnRj3Mcce+mRwbWPACFW30CAKrQRvXiMvk/+F8qlj6KPipYidZjelwXRlo4V6wz46V2e+TQ+TYMJXaF8eerD0RqiBSAVNGHGSNVpRILf12Uej2sKywLK6jnim28cWxN46emJgrOQx7kV6rRqM3UnCnEFomfJmCmjmKG6JOChjyIiFZOrfcK4xakOiItYajcM03kPoxVpMj6hQCbcZmp/TV3zRB4uyT2535IktZqF+um6itx3teQqp2LEk73Ew8BSncr/pd0dYWPpHRKyq3H20s7Gp8qClbHV+9DbwPHzK8MnZ8WY0URC+MnxZHQWT6iIar9c6HfZ0LD6bEI1HaNYcDKuAJcUM1KxQ7V5WLegAxqvacAnBDKFFFfh9wZEAJ/SRF8L2gyuuFeMtJwN4iAAywJgkGJTLujMAUWC4ThdfooceQ1M5JCBnU3LOpM+I7BLSp8QrnrkS7og85Ym3u8IJT+KyjEiRSyDTTc8cFzXkN0HEfImeNuvelxE5hBYfLJZROhEokGzwSRinXK+ZMAnEZMSc09bv3UGvNHoeEphuStlXRJOScmfgcluPMG2K0PFbHWOMnj1i5RTEKaKucN18l5G5v/SG7r9yp3Cmnlx03PeRHjyRCDHR4IhCINNj5XBS0jaORjeMrhKKB37XxVgjdFyT2Q/mprBrOGzYWG4nKBf9Scq8FuqMKoYTTMgTbfFHnoMYdKP4I85ULM7OemzpBioD3BWeF5hJvRKozO/4LZQKgFLo1M+4EVB40miAS3ng406E1lXsNNzEeBccoimzB3OVWAOw9SBBtoESkyhPMp7kJbhPTphNKFIoZoOjhwV2FN6JZ+DUdIl/tFDVwfmL4SmeG8BwoSBBxktkhCNhgCkct5lpQMmmUMPgU2GfW7qtoTEZzGlraPjpEauZZW9GMXRoFvESbRI34qDTzEm6K1RSNvbP9001HPotfyDjtQcx6griAZlgi1blJy9+9OJnCz8XsB4yKHJLfhxtbTXb1J5SzWngVHd5/yShUAuOJ5UQOBJoHRwSz1Ns8eYgh8ygyC156nJcWRODHeb75NbDACIYBWqPGhAOu/afu+DyraO25UZYha6it/72G9VoXPIUaE+4809szUTa3Xl/81KcKqWgRueUYtrM89sZvLnGyXcD2I6QqupldemM4w0GSRPSmdzgxBW2spklgcdkS87PNGYNL58BiwTHm8MuXjBIB9vD2u6ZYBWXVacat3pyES8yPpfuJ9ji8NAMhuMPYp9t+0scrfmHgHab+YqeyoyPi43WTE6yG7M/aiZXMO0S9TEGuzV6fJSJ5Ib50NzcvckULMf79od84HVmVefhk0sG9CpFTc/30dUvN3eZkuUIPJiXwCoacEN02J54AcpL8312fHb+tnpbzRQuR+X2y3nJrL2/vnhfc/Z2yhTPlC1H3c7cnVj7MgQRk535X+f75O7u9yMPl0gVz7V0nDtxLd7Mb+p9N8miL7XJqgTLSo+0vCFcF32ueYzpuxTLTgZLgWPF9BFzlLFxU6BdD2HOeKbTalY2b2v1h/rtwzEFOG9e4fJAneo46qPI2JTuaQtvNgYoj3qxxfwWbe29/fp8PEdb4+He3Ww8zSBqPdK5B4YiLLsnVo+u3zXo4xlCTVr/YO/t8bEYT45pQXFNnUe0aJqB1pKVjm9fjcVUHtNtsVOwWTtwtm0Ya5P5aiYN79++3/uyxURc4lE3M06sPMKbzq/+QKQ9QKnSqXsYj/gclI87n7cmnxnlhY/2i6ocg2fhLS8GzUTZvH58FTFGOq8IohF6dZ6Dsn++u/3LseBex85xDyQFafBYEOVyhPTsFKy/O+K7luuZb2fSdNTrnmppi+5iN0kCPaFVeZS9T28aNZXOo358hAe8hs+c4Gd311+0JCvHPf/RjTmp54IY/znc8T9fpxhTMWlBdCeT/ofDqxTd7fXZc7B9ejxq7L5KsTWuWDhaEFv3sO6+U9iktLAgNu+38WRbBFkgW8YAnSn4Zs7f0/OLRu12gcl7etl9k1wwIVeRI2IUFlv2xtaf8NbP9hrGf+J13FFgpS+cE7cc004yOBeMj25TZ6swetGeg/a2t/elGaS9oDA/B+nO29r2oUjEi5YmsvmKM+nPwdu5HDXrl4z3QzQa4u30z+2A89Ft/1AME3SAQPscjDfhq8MtkcXxvN8dxc+mcfDru8aTVMgih5A+B9/l4dvwQFwg9eb0wzGors8lcfe3/e75UUrim86k5T5rvn9NRj1PCBCNsYdngp5L437j8FVVyE041wnrFIQzec+ZzM1ZiozL/avH47dMRpWM+E7VocOGLttg8qmZibffbY92xCxBdzZoWVVay89BenfT/XwrdAI8EXQTR6Br9Kd120yc4eTTfu9ETD/hhKrR8cVpw5uOBj3k6Q6zovzTLFHQCIe9hCA8vUZBiszSx9KRtoY+FQPCZ3CKs0nJE0PfP50U/jB9Zmkv22onf2lDrS5WuP4vYHm+abTE7Fv3eUH16QkFHAIVhb+K0fH3pJ6p2Pmcshhnz2XFGL7IDY3P+RKD6yndUaViT5pKBWfHC4mRZ0Olkj8DoPASBp2wG0hhbCswpJWigSTSHQ4pr1TuZYC4fY6Fg8hXAaEZIM6f31cqeaHcUNrGw7Hgq3ooN6Lg5EgfQ/zH+eZo4dIfw9fr69/gL/ZwbkQz1ALjpsUe23XKMzjLDkTm/B4ixtiulEKRV6mv0xml4ozvTUJtSxi+pCP1lYoZBkxt/ZOF9SKVLFcXRONWKt8+/v2/NaaWBqEoFhaH408a2rppxa2m0aovnhOlip1xEiGOnKBSmpzFQaIv5g0OfbGMoFAxbIWxnETs/LGZL75jTCaSWhRKSWR+n9DIFzkhkR//LkMhP/59VXRhNnKRiCqMRKxU1DqvVP7rAw5FL3z8O4ffWXGB1BXM/UrE+WUD7gLMoARtzb7hULx5AvCQUj1uTqMt+r3j4JCWvPA1XnbLDkejvfWvEIZGspARR4YQjP2CbuPALhxTjtpKRSMWj25iLGRGUUFfl4qQ+hiS6embk41gQgJKhScBRdhJ3xwjfAieZ8YGCaESP8cGkwPElq84qAd5lHNvm/btsuwG4GyoRqwNQig+BqjCyAvuZLtjMRAFS1Jdmv/ErobdLFSNXlE2aATfi+p4rKGPKP+fUe1u3EayaO/JCZXAeXD35mO4P+zBrmuGKcA7NK5/DA+Au8EcsGMEACYCAD6G6MNHQqSDPv39MUQPNT7q3nF4Bv0rfYckKdc0AMjvTB2Aqtq/frSFW9k9+K5A+p3iB6av4cs5XLuyqDlG7K7Nf8cuWHqHamvFqaIXlUY9zyOKbRNfsvNUTEb2cNrIyQea4l5RlaA7kz5MvZL2p+y6ZOy0pNjTaBdjhyQXs72Hdln2NHLZeWY0FNPdfHY58gZyMc1zZ5diB1/pJWv1l/K9ESLNhWbjYE8b12e6xeyS7EBLSwpXl12KHWJpKVxhdhH2cKVFbq/P7BLstEpLNK6qdgl2RKUlYLXZJdi5xCWkO8guwy6jvA4Uzh/6WvPh2AjY1cOVCFdMWsRYrYbrRoyu6WuxUbNbhosa/hO7IDtauKDtE7HLsv+Ey+p+Drsc+0PSykVRuxR7OLiU8kfYpdhrkeKignYZ9kNwGc1vYBdj90KKin0BdiF2GIg+VvZ9uxi7AVT/Ukm7EBv28yYIWujpW9vQbqNgozzXYxjP7YJsZeeCukHcLseGc9FXppHbLsr2cMos8h1TbO1uba8524eH2SRbhwc7+/uq8lkptmQ2HC3F1u7Wq51X+7tbdootc/cjy+jMLFuEa/tQ4FpOlq3/WoMm+x3+q3J/WWNUkFLpc/R5XDalUl7qnWMv8JpJ+Zw7X6L9rSTsRd0P779cn374elYdt47agbf9ue+1Tn7xT7xX3s3D+qv29oeNQbi8nDt5fqusYxF/6W4dbuVm6InQsytv7BAMk1GW9MUBuhZ++gBdgn2m4ndMcGmsx24cTB6OY9fX7oFTsNL4rlxYW4Hv1fp9Nxx5Ikgh50VpzCdu6HuBewHKkHBtWsDSGN+Aru+7YZVSnWqRRha8NN5Lr9sYxaGn7nBKIaVxXbmgxN2BjKpGXIFKY/vFC0O/48WX3rDlBh3lbLRfTME808FuV8rrQHijoyDwiFHOtwgyp0jPTgjdG7+jOkSDzURo4+MvOxOFLYUshiu5g81h4A60y+Ms+GJ48aqeagx6jTYT7BeLY77wujloEbo4zqORPmtN8OJYr3xMf5uDV7xYHPNN9IhZdzOIGf4MvCBHKFZgghfHegoydRYpQkvjBEkXlGFgy0cRXmSg+KAJV3g5J9ZsxFf10zsiTaj3ioVZL0qTDOyv1Tsfgv7esM+l22+m4H4eK6PfzuX6P6fUkI/m0u12fe9N7La0mxcVbEF8F+5Y38V04AIYw/bkMoq0WwMVaAFs8aSGGZSb3rB3B2LwEGQVDXHO2/J1eF03PNXuiZWABTAFKFVcuKMYFoCGTweXx+q3eh5sfg0Y4d7QC0F6VxJX3ssFagjch7egzKgVrECLYAvcX6Kn6MnXbmo0oAvgjGESuW+9WG2OGqw8PpiMoXsESrYba1c0m+DSWEFSRUH1BFQ7bRM3oIvivIniIfBTG6kAL4L1OwnbV+7EvQXGHLsaTgkqj81vPfoPl37oflLoFKw0vus2OiKrId10kGI0oOVxBv6T716OQjU6CrQgtjs/aGv0KVhpfLcuMogjP9A5vA5cAGPS89uwlkNN5tGB5TH6PRc6XyHj5wXwDN1rbeKJ59J46m7s9o5hHTxqQZUKthC+X96hUjiOIrV9meCFsPbOJrC3mCgFbDF89Z7bU1fEK1B5bMBCA1hWv0Qwlok++TJvyuPuuY++Ns7iuTyeqOO772HHdHVkGrA8xlEfmPybwFWX/yrQAtgSNzzGO1WUFqDBSuNruJMgiutjXx61NWGl8b138WpE92zU7qLXXKI0waWxfniKwtCrD2HqRU/Jo5qN9ovSmP8ZeXU3aLsaq1GgBbBF3gTjPWEaazuoCZ6CdRk6xNn6xZQa8tGcuZO2F94AdcOh72lyuv1iEcyBN7kjI1g/2dQR6/DyeKGx4SkwNberiUAGtDxOEHDjycPJqNNRGBWsNL7zfgSz/SaKNMuFBiuND+1q7qkP00gTJXXgQhjRUlcFoX6o8WMLvjBeUBhjvFMpg1i+WABzkvgttxo01YLVYIviO/K15arBFsV3EY1hE1fDboIXxXrld2PF+3TgAhjHXlAfuv5QH5wUVh7fKIwaHga+KnQpqDS2ty4wh+NR1BKnsg3QAthgrqEdXuMUGmwBfMMTnMehZubUYIvg84480GDCxNX6zwQvhPVSl2IkYCFM7wY6f0ghi+Ca3OANYzouhpTH5YGE9zbEaKlAE4dM8AJYg2ByFEfRo4ZRgspj8/sw1dqoCrnhjd/SZoz9ZgHccTL0wpNRmCjhTQeWxxj7+PERtFchVLDF8Pnh29gbab2pAUtjvHDbkzewu6fYJGABTKF74gW32sxRoAWwoSXvGPUXDV0KWxDfG5BrXZHHxAKWx+i5bBlUHEaBymPzXeAlvgcaW6hrchZ8AbywbIHfaUZ4BVoAW9h2j2GVeXgBsNo6LfhCeBN3cmEOtwZcAOPXr5Njd6DvURqsPL5Ra3LhK5VTPC+E58ZHg4SBikFTsJXWZFpZTaa6zpnR8mvIR1MNvC9ueBK7bbfdhomoBIjMm4Vw+8mtp0YohSyAy4flcQQrRUMmQQtiO3P9JPBF3gEbugBO+vyh3nK7gR+B/qchtl8tgH1CtIHIpCtwJrg81j6a/x/q3qQD3ahsYBZ8AbxNL34484BjaDhT2AL4JtU26L0aMgYsgunC0+YQPS6Cpd53Y8VzJaA8prCLAeXuL1GgT20dugDOEJh1X5vYArAQplNY+1rHS8hCuN56YTv2W0q20YELYbyYhKF32TqO9JlmwhfB652hE2fsKllHB5bHmPRAtD7yjK1fBy6I8Q0en9OmjQYsjxHDIic3gftVCYsarDS+IzdugvZ04wZPmnvQgJbHGbiPHsaCB2pgNFh5fLE/HN5GwJiG+siY4NJYlx3Wd9wLIg5OQOfqUAXg2S8WwMy6hXsm1qAWgZN5tTj2W7/VUruhCS6PFVMMeCdoIFcoFaw0vuWHNp6AghpW3W6sTSkNtgC+ofs+Chuel6i1rgNLY6wFnhtGcSPqwy6jz3z7xQKYRSzJkRtqs8kEL4A1QKt611MGcQVaBJvvvfX6epigBiuPj26ghTkYa85OHbgQxslRMNIiYBRoAWx9tz7Ei8sVMgFZCNeda3BLBVoIG4ZIBB4yhc8jxSQybxbBPbmNkmSk7AEKVB7bEzCDsBvFvtodNdgi+FjGg60r0HYzC14a72ns+W0X1M2h0uQ0WGl8b8ZeWB96HVezBmiw8vg8GNhqPIStVQ/61qEL4hyi4TeDU0Cn4CyneZvnkK6/BBOpMgsl/MqjBAXzVEgP9vEGBs9KGPy5dtG4FmK0VZWRMLgXbxqP+/hE51mpLD/Lt1Gm6ZQPQqXJ8TnvwMBvDUexlzg/4tmbJ7/tRckqHgJueu5o6HdGgdPx+m7gOWSkAGHKlzesZwdT3PnNeSL4yD0gCBw8rpJmY0A0P0IdfqhlMhBZMIoQX0VOByTDZJOSSRSVOqEUNJTBgy7ZpiwWIhMHNcyJMMMH5/5Zc2C0uiIPTCavQzVojvp03h/TXHhfWp7Xdnb2JcpRCMRCB8ZRn8/MYwM9PAGOFEZDvgAqh0TRQ4+eNzDyOGy//J8NysRWP73DNCPAN2LuqkTmKko861ZTWBf1IcWOqL1ZAtQ8Kuos/KXdnwX1UkEtmRh3jczvM3S7XcyJEWNiAKu/CqqAURtEcbiJ/3MSoIzSV0BrHgER5wbZ5IEpIlJPkPQjnqXCiDQHoz3CxFst+uqDuHGdRlumwBgiMdCUvvvF74/6zvZWOvbDHsxFmXEpi3RTriWx7uiOCBwrTB8hyaOC5vURtHgp44OZ7AZGkg5uvOZJYiYXj9MLJ1pRm3478OdenO39148riXXRmaRAu/EOv0j/iDZIbFwl15JhUGrwcc3IcaYcF9BabqM2QfA5nY0rMAl5Ff/EGVYkYTw3RQMIRRF/o/vJz7wJLoC/Occ9r/XoYHoTo57NueNz1zIfXnhoTo/CSxC0h7pV14RPQ4GyzINQJw0BRwLVxzxQ+DeDpaTXky/GLLi/XY3A7FQK0zYZ+j0j+V+aQ5I3yD9PXkhcjrN3rBItXVaaQ8S38lGcx743Ty7+68dNGcWEhxvptPSmfRBRAHU7BEPs0GQBNlRgBtnH8xiqDtdJfOkBOQbYR9nkuXLtgPm9dQxNaxG1BtHoB81EW+gZj4ppz9pxLw2KR3HkYS0LTCetLBiflLKA8qCTBRanlGwonTGygHRESPSleZQHk8pR59kHdBicOUOT24fUfDz/YncfPOknXHSIOKMiQekhEwnIOQki38nzHfLROKQhgDnHKNJXKfNNAdr5BglT5xMExDxhIHrNOCBgwGSAfwrMm+tacL0AaPHxDDEj3AVMRajrAA4yZ4gRJi5BWpy3AIlAbfnE4db8pAdNK4gW9qwVE1HLGoTjjgXADhCWcBH2K5704F0BUtG3EqACaBmih8AyxApiZaAdairAWgCpBBgxoMWT/Wz9Imey2xGXCmzEUQqop0dBCpgWxcgQPQ6RIUYkoQLpoYAmNA3kk2AVhWdAKI7OgMhIOAPIgWwSpCLRBETFkjFACweTABXRJSEqJiuF6PKFAlJQlHrkyKb0WUQniWczwkgC0wAhAbAjeVK4Fp8jQFqAjQaRITIMSmNc5GMaqCIBKtZEh4hoEQFS4R4CYEVsSGgabyEBZsiEgqYBDxKkIhYERMQcqCcROVC8Bqrrb2gNtIw1kHHVa3B2wMvn1ImuA6QfXMJsZ3X6wnBBC6DlQZZQ5f+VEOHBTR/RDZs+sDdVPBouUQkTLk31yH5J9Zz6FhVIdw6mUOXaEyDdN6eDhHNNgDTvGENM/5aAaf4pATE9TAzMCma2JycF204Y+wW7VgRQ84wwJEew050TEqK5FxhUs/0DEmwY9yUwtc2ngNS8LiC6gVyBhIVbAqSRWj0LQ7MCmLbiFC7tvAKgmWpTiGFsZahuKmWIbuwUEMNcqcOkubF4rQpLoJ27iG2Gq1g+k4SOzXr0rlKp4D+YSE/mx/4Ybm84yzTJEcLnG+AIjWVuI9ifybimt3VRU9qmMpZxAysVFOIrlRJ2L9lZ81q5ZPlpNi0q8zwLFs4umG22iQqBU81R/J00HBk2J9ukY9uYcI7n2oygP6cjggppZeTYfTZ1bWMNHy1DDcF04wubXBBqSkB/IxLnTDf5vTOR7W9trcHgbWVTkW3vHW4d7qrqZ+Uik2mktFxkOzsHrw4Pdw62rVxkzMfmTEJmIllOErKZFpqlJ/vCwfvO2b4WtFZdYv73ZMQJ0kQuZljlpplQ7CaZnKowneJhD/UUkVGV8hRzDfRTmfeccU9kX/cxB79MEGndNUC7BIrrmVsHQma7xIqQVQtOxObI7KWYR9RlCRUfDdo4o7CBrQj2IxhKTtGNtcUe82HYkTDNe5qAXaSclznlCR30EzDgBKeRZY3FDkqyPcRpmL1N+A0t934eRj/9sHMaw1+t57i7RFGiCSay0XNI6wSTJgPlrtHiecyHM/K/jXe3h3qxefK/FU2aGTdQFMyX1e81N3BGfP+JcG8PHbd/0emwao83sQIr2Z5WXjP/zplx7+af8U39fOuXN7Wnaz/oXv/ycHdytXuwPfl62AqSWj/eG/r9ndMP1aC11Ix7xZf2CjH17NVpNdha0ZhIPRVIlXNZeQvMu3rZ43UEusRX0A/RBsyfFvrDDEpgdo6j8UoXOnhl7MYt2DlFkIyqlL/VP0EZi4ryh+nj7C9hMEAu5c/49+xvel4ceUnUgYkGQx/3+Wu85WD2t+j3GKMJmD9KH+0v6ZfpCzOvq6fk4vP1qcYGhjCpW72N4dOmlwQP2vRdGQnEKwFIMCuY8V2R1PbI3VmrXzgXXhd0VbydiRNVwz8u6EkO3/0tCjIh4uHiXFz2nffy2KWLG5oTp/p11I80/9gZbNnsRRZFp/XNnG122+PW0FVNzW1lg7Kee6HrHEcRx1TnUb7Tc/b3ONAo7/VxtB4NBJ7bUcgSOWB0Wz0cvWOWalxxzO85TZQc0v06ao6wlQmIm0OvOzHYfNQN1/XnGZ1w/ebKucSxAZb9FgQvjoDKa+j29oyOACy4g9TCbuAnPRzqk8jVBvq4FzXFKczndIM10qiMDZ9UKwdRu+XKc4EaeTTaYRfm83HPbz2Koyt5DdluO7vTm0ptCpvJgOl+Tmv+6EFtO7/zuM7elFr1l29vVlqgIyD/4cadoiXjWIAs9Hm70jWqYb4bOGi7FL3mXKD9gj+Zj5EKio7q8duTw5VI4HzAG8BsNs6YChBUvfcd91whwOmbxiDMieO2dRVu3ykcHbflNdPDunMi6X1u7nuBQjLhvOk2jpxRow679fg+pbxOnDmud/sffgsnKyBRengPhBhX8eS8cWGTxRvBZsgcs2qpvuy2b0cr4iIyruRW3EpmSSgL19Hffn/+y9VKq+cKNnOM9zf9eH57vPo8xGdvfz1sfgGpBhiUCCWt0295j8zz0P+a3B7vvFppyWzdgvg0v3cd5vUzq7g92Ns/GK4MoygQMlIDf05FakdOloFx4ON5C41/fbyhBrjTFPIGx53uXo0JY5u6cxSP9HQcOXqm+tyPfzk5OBAzN/a8ga/Fh0798mw8aT6J6QjU9iM9lHXqlzfxyb48aIXtdO6iWI+851t3piB4d305qYnY6aOo2wbt7TZKtBOxbG3Nw4BbbQfv4YN6UZNhJDZUw4RKX+C30JpJsl4eUkFWXA86t1UxBY+dow/O7saWQrVBP2VcKz3kjf98QAZnw2LzyEMOQZeCbu1/HYt8OBTKQf18AdtJ6PxKtw2tO6c+5qwH6ThsJ3xZpmoA/coNJaSHGTaENNhK279ew2aG+oi4pof0Hjac/RmisKqaM0NaD0T+f3QxCAfEIBqMAjd2Uq0RlaM1fZfOayVPhhImmPIRXPN0tGXVXFm5t9Rl2w2k69erH9EfDH9XcjRm+Q6vWsrRi+lbflekAGtFspqu9rJYpdUKFemuqg2WdprS/5//TNUd//Ofj+F//oOKIv/K1QpZI/zPfwyzVhl9ln1y//mPqeBxjazNidrnVd0KacnTM2XtGSGcKxXitmp/kWwt5Gqt7mXoCkbf6OqQoE7qPvyoFJ3iLihQwGZ1Q6p4/KE9kU7olXtDxcisZFMpUQuhWNHQ1rSJK0+dkIvPLFmgN+QXLlIQ8ksXaAKqYamsr3dRVlq38VpSPuGDL7MiuP2hKbjL75RkbZfXhHBZ2JSV7Q8M4TrFbwq/9je2xCw/I6HWLqzLvmk/0i4l/lIMgCmr3utSqI2QpdXVNedeCJt2AZZHsYCQKe0CLHaKAkJ0tMuwgLnKcuS9JiHaBVmQXGVx0RYCM6LffSrU2XhY8lvdkF20veHczy9hpdhMQe17e25fFfltd3a2D/dK3CEl3T/6HVL7L/f2Dvdfbll+W513kcgy03lrYlqO8/a7CnYsvy7R8fv9b3kqLx+zoQR/qQM0tzC92A1Gl1KKsAxxQaa8rFV46NYcaA3eHR1MWBJWaOgxx5p1fup8uH7n3FzXG0692ji/rTnXt84v129rdfxxd1Zt1N7Xbp2zGrw5d+7OLy6cX6qXTtU5q97eXIMwfX6FGG6dxtntdbVRWgKf4QR9glmiF5vHCbqCF2wv1mscg7X0TqHJY3kKG6N+M4jPwyoF1miaxpzOwr3PUbd6dvXm9GA/2lrfun55k7wJDi6u9n977z3ufLmu17Yutx8+T34d/lHXc6XmUjUN32DQNojMqI4AO/o5b5amn+Wc2jPQpho5sECzN9mHjbG14oYKvHaVUCqVe2nVwMwC7dB9wKmmDK0oN+e5RpdWrbjY2ZWZIk/S5+9V49CV+Twb8Aud9aTsfa/qEhAaYm9Ib6TXmUAg99s5EfIrnefgNVuOcLRAwwfxDo0kHOu2xgJMw6/yIUzbAORv+HgDKC3Gsw+1lwdDb+PTQGSA2VYEzvz4MYpqR7Wv6mN2nc73cee2NjmcfFAf75b4+Jfep6/XYUt9vFfi4/6J/3jjnaiP90t8/OlwcPD1+kB9fFDi4/7krPa+/UZ9fDjjYxRC1eej4w9BZ4Sfe+L7lzO+N/psr3n25AWq8lfTPsZgE/3rrX23efFPbbi2NVvm7M8vh19+7bza1z6fOdHSb9+Gr+o9eZHbtj7HNjc3zW9xRfpVdf0uf2NDZ2GglVsdgoKopc7XgHN9z3eR4o31Fg71YgaeO9D8YH2fuiHI7SkSAzoDw9to6D6OJHdKUZjgGTig5250j7MBUt/SLzNLg5XSgVhd3fNCB9BHMQhDwcSJBgPQo1GjAv0ENKthL/RbToTKN4iwHGgND37sDOhK+J+dO28wdEBn7kVjZ+gRGg8jc0V8OYlLo06HlHeUxPujYOgPoEwySYZen9h/N3JGISofbYzziidO25387BwhbSOOWIZCGAHmoMlNRXQNe9EI76UXKgFIZeGQ4jsRkkR9D7QAMuis7L76B6pzbrsP2ksCghtS0/IT+MKX4oMQNrXeaWDU2iQapTieKJCZyCGhELsAesJtCUN8FkVm+HI2KLXj8pAeR2EH5NT2z6jA6A0ARF4wwJBWtWlT4724n9iuAIOWvLGfhzS1VWNpJWCd4WhHTge15U8jvzVx6r/cYVS+w1iYGEsgK6AtJcbr468rQC3kbCSBZhHFylE8/Uj6PLhwFltRSxUtR4bULsP0WxQJjrU+htGYV6GVfsBszqyuKxQ7NhsxyAZOjiip1fcxrF6dEDnla449CtWXk6nfh2HBi7YxfH9qrRvZ7qQHjpIHYih6cogsI8HHiRF02Ym9zyNYgVJpLDksJOS+tvuBms9jfQ66fwyKDU68BIM1cYU7yQBWH98KzToax4iO6fAIh4Li5KGpNHC73objoJDGZcd4yMqjyQZf4ZeugycG+jhB2t7Q9QNE0XNDZ4xLfxQwh+KzEfSRqRICdqky9tdoJomfQfRE8aP96bM3uzA1ycOItM0b+KGlQawglJ4etjd2qw/t6CGMhqT7uq3hgxtOmlF78tDxXDwD1H5AswZohTxxcDyc7dfOj9W1o7XjVefk2rm6bjjH11eN6nHDqV59OLo++eCc1qqNd7e1Ewe0VdiI1NzKmQTfrXU72LoBJRxwgwc/hAUOjN5HB1xCTRYBwxs7x1jMj9p6I3deOze12/r1VfUCFO7T69tL0NVR+a5Ti6sXF9d3tZM1LHR+fcLtmsXLlt3CXR6/cGPncPjQ9B7cB9gCHgduDKq+3pbd1zBQV+me0XCOak4VlPKzy3fHb/+YwdnTph6uG5x3eIao+4B+vmACwAB27ZYbbOycCpCwpOgt28OW0YCQPQXmX+Ps/OqNc/2+dnvxAYAX543z4+rFpgDUcbTe1Te4db/7gO1jq/0O+jlgzGKPjMTY6GEEg4eC1APwFbEY/RCmadIZP6B4EvvYE8fwO3588KG7+J3eF/uvHbYtpQN9W3Muzq/eYoc0rmHEjy6u4ddZVSzY8yuYy3hGDaY29Ev1Yg1+3b51zqEj+c0fM60PsJdoMiTcHWKeNL0gwgkS4kuyqmqtP3jt0NDXuYFiVhzVLq5xOlzhy7pTf3f0h7ToEFsUe10QZnG0WwEs06YLw4heN7EnUysOXzu3tTfV2xMcs+OL8+O3R1UYjvp5o1b/Qyh/6SLpD0kLjy8nPRgFZqMoJWl0v3wN7OS2Vruqn0GvM7dsQBv+EJpf2bxFmO5bwsQ/7JFr7gG3alxT0KIHRIfb8UPUeQAhzQ31lfXK5DKwsZ2c4xq6vKxdNdAMW6ue1Mlgu4ZtBwgsPOA4zvUpmnirV3/MOtrewo4Axsq9gBrSQ99PQLSlWQit9gA3nmwO/K+w0/Opmwc8Pom7iThiGnoitJe6YnvrNXJZ7oi788aZc3lev4D2E9e9BQZ7hUZt3DbP6yAANM4bF7U6W7Fh17mtXUK/nGBrk1HacPHzqiYywKk3xu/fvf+2N3ZeUd9hp0DnwY4EPYQdF0bEo9EhY3XXhtVfICxhX2EXQGfBdgT9gR11dU1MuPYbduN/V+doDq/uCERcPAqfqxACu4XZUUex6c2785MabEaCjc2nBObpB++urk9Pz4/PUSy7Pc5+Qw9+3NpIwgg0/eFGFHedFda4/NClxhV8ldtNXhOd+zq2TRMZN3zu4mXba/ZoA7SKG3cISzZu9SZGetA8R4fENKR7dMWrIZo8+C09xtrvngO8oBtC+wNPP8+kkFc7HUy/MBSnZaxah71yyMYe6muzMG3qNOKkZPqpElRWChrTLqhfV5Xrt/X6SM9ULgFUlRqnod5j8yBGBz5umoPJzaXCbkCnVGG0uHyjfrHaxM9T6psLbd//AtvBSEs7mEKmoH5eU5grlbLTZiiYr6KedxMNWlEc1oeYCiutx4RPqeZ5Db2JvOTCHUv+m9ZvwafUP1c10Jxbr30De1Zen+a8nFLh8xrMAziXBT9T81wVlDLNZ6pYRuNQoVOLRYNNqXc+9C4Iatedm9h/8gOvq/J32i+mVPTMBpbwOJRu3iP5PswNNgOeUsmzm6a3aUo9c6EDTWnyNApA9xuFPvKRFHnmzZSqrC1Q7nr8JHf3WXIEGxgbPcy3lPUh0fS0ZquiKHXcwPyNiuyV9HtGTE4a624KnKBWtIYjNwhAqomGTgNDLo/cNodmFR8tEHFyv8fJAqwKe6FF/3e6UWTmoZin8eWPBIhSOUldK06lYoe8cIgRv72/A2GdIunzRHuKX6HoY1EaRUtUWTiFat4ntjagf63cVYWfK/eUUa0e7VH4Lbqc9K9UrEbhJ4arhb6lyFds5rRgjPvtNLazIAZj1bnfyS2jhVpAmd3cMlpEBZTZyy2jBU5Amf3cMlp8BJQ5yC2jhUFAmcPcMlq0A5R5mZYpDmqAYq9yUWmxC1BmW0Tc2kEGWowClhK9bZfSQhGwlNbfdsTBKjnEmVWr6IEUqMkTJkxJOBJuSAYS+NZww2t1ia0O0+/yovsY/vX95i+m+cuxCxrCOf5iilMcy92b7uwXs9zYhatc8R1a4uvr64S+UpnpjK5UCpGm3KYy2+9MYy+qrVTmciNXkHMLFqb5fQvJMTkZfK38wIDnOOvLLcQknMCAYwPpLe3CTdtaqdBW8RqIcSp/ER+sWMX3bLcr6+M0OOeChjW2OpZwymKyPklxSYfl0uhdwM3Kp7KIanZNvjBdkkujbaqDVO+8xf2IS6P1OR5RPkUm2pL6AV883/+3tNYt3/OpTaJ5fX9La838HkqNymm+vaVRNt3TqFFT5LFbGiXTPIfGfH2+d21pNC/Hc6j18nLcZf/+91XtbmmNXJpbUG9neTfXkhu1qK+OG1Gp5PqqUEZ8PoG5/jJdXP0Yml4thMxwYWERSdlMn1NaVaXSyHUgsQZT+f/tfQtz20ay7l9BokrZ4kqi3razlcqV9bCdtWVHVOLdlc/VgUhQQkQSNEBaVkrnv9/+umcwDwAkINFx9twoay4wmOnpefX0a3paxrhDjN0dcZfKQIPv36+u3n0PIHccuViZSQJ+c8wawZ3OI2aH4K5tWQryr9J/lhgmqa66nRJVdk8PnucuKKwd8Ery4xRXH2znYp2sguhrVkfA3pL3ONe1q6BUsOI9OySxdIyv4jPRjUv/5nwOkEMLG0qPl7fC1dC1rIODzlHUb9+KWAqOmtJpE0bO+idTtYbNO5q6ubG+EuxuF4+mbjzbfrKzYZBxjqZayCBdIWOfVNVn9JyTqpu769vbO/5JVW9FsjKtxmFVG9iiDquW6QpFlVl1ynT3HsdM/5TxheWSsM7h3sn+y+Do1QltfFakuppPwSLLs2LWvbvsLyTrPv2FZGklDy3/F5KLKv+fiqRY5UxB5HC9gTg7MaI7Wv87CG+H4WhVIlEMboPoM+7/YWULq35pdxkPos/0OI672QpHxUa5j4hjIZlgVuuGI1whEYVZTEAGxKdGvWA6XnOQ5Jc51qw5x+uz5Jrtd42O1y8tLbTjH1oeg/EXTqVPf+FU7+kvnOo9/UfgZD5pDP9AAs3suxfpg6uIR4P4OoqHfYhuEHsaBfu4vbw+fzp5+fv0WXZ48O83V0/if5683hu++bxx8Pp9vPr6Y2f/+auf9z6f779ZaLAPE8fV9f0Uv5L9TgeRTrh79w4OOsEbKNKU1aVT8ECxjgee5kajIW4fUkYT6u6LZHKF/h5yjKf+dMSCImxUoVwjEQ0vqG+osxEDjirm0ZZjtoQOrqDKQpLHEJaPsON7hjCEbOHg+yIwxnHanQ75ZgrEhGAzFWsNAxroSCywQIuEv140yrEIodyPMlzJFTH0GFMFwiJBiD53B9OMb4ILwh6Bskvdcmto/0zDvK18gcVE7GAZ2+NYWx3coJOMzRf1cOOB+w1b0TCRginP1n78eSUYRBO8wmK2ouyZ3wTv0bW3mKPaoAzjLXCHSuIbdXtG3nswJuamZ9zMeSlVJ2wrToOLNLnJcJnSTfRhurm+8SyFDTFNb5VKI0aQHRKp0QOBuk5DJoAbw7foxd1O24UF0haW48csGvTBdvwAYZ1xxT+5QByD/92W8gNj+2c24RtHzILm+o2zVj138tHQVSIWkFvi6y6haTDrRGoRyD7AutCSvooiWwtts5gONWlTsL21JjxjEQjfK6dKEtvXjcaTzJkSaqJN4KyAS6FZ2XeBm3LTv+dkMeM1ECCY4U2S9mgAshvKS/MkHFzTqoLDAr1RTm1/DMZpQvNs6F63Xdk60JZhRGBVdLfB7YpUGvfjCPX1NEkPu11cnoo5bBP1mt0BjzZalWMqAUN4PARwXGVHzSWkMVTBbRSmQTKgxf345iruXuldYBwCfPw7zCYl8Kt8/fyJ4umvqy+lKUyifGnQuvkt6k5+gKtBOsmTFagfqJERrZnvNtcx+vR//EPjSL/KkE1toBeiPPSLO3Po/5I+/RTqXKHE47eneflhCGMhPYT0D1r+tSX4MqTK51Ke4XIwFA8AnnasauMeq5jvXt+J6EPDT7DCEQKBisVKL3ZXfqsdlor9DmoMScn6VV4b04E+XwOiza9es6zdT8UfU81nRyHcXASShzdrCvHTnDhK1mGeCCYDDd4A9OvnzeU6usWKVXcoMpFnnke2t0yBSj6DRihHjemYFrFyFIKmnF6UK1KuFW2Au7qbkdbPKJpOsMhitdnYy1fCTRK5iZRXjyYjF3HIiLHICmN7huiqwrY1wEJdWUnTcwBHKuUMlVAjYyZWmKqPw2sVYRbho/5OdawOItrp9Qhm5tsyMylMGcXwbxEVXNS4FvxErCK3Kur2qFWqgeBOon4fS8RrfeqHkgDppV7A2BZO+DAsRQTQFraihYMm/ZEIA40dYCLN/w23XMIj7bMyBIwC6uVRjKCOKSF4OYXvzzghBgDz4VMc3TSocI+vCqNBiOJPWAoEnTjjj9Nw4tDxleDtuyC7YgYIfgY8TIye1z2HskILXbMW5F+4nHg7EU9PHGIyhiNTYoWrtNyG5zVASRd2t4UB9QnBoeYgvOXfg1juKqMa7Wxd3C8JJ76yma9ZuaDnjEg2jrpThL6d1cV54LNmO07aJmzCDNRjEO8IOXvJ16uN+MYzdBHRXqw25r1/DPbhvFAa0X4WFS/i057E4wbMzxzmkWnXjx9/6NOHlPY7lYWmRL5P0kL7YRTd5Ak0sSdp3J2cZ+kPyWgpLyFIGQA5doJRQ0S+23y6msP6bvNZXXwM6/sDCTJL05GHn5XQCEPaobMo36Dpsbz3+XmOojE/M6BWWfAazOOrR8PgCKzTXUCE5dEkeBeO4q6ys/0JjgzgoUA6FOr5olNNiNnxkvarjFnfqYioGGF8xe3IV3BpJGo2ioQ59nUNP+fjuCer11RdNdmRWRQe5Rlcci2923Tomp94+Bb2awRvHkRpcotw45eXxPF4agdRFrdarTl6AsqxQIXAo78UAfdQBDz6IgoATNWzctmcHaALBKla8HeEfvEIyh1/Gojsy3a5uoVIMhdf85Yvaysv7SpZ+tEXl6EFrQcLyaodCxOCAYydYM5myH1VjltNBd8SoferCry239jS0lKptMrjFqhA1We5zFjVJSXT0xI8ceBgnkypK6ySEQnElxQLpfovKfJJDbXFuQ/fFsU4XFn/BcS3VssR2ainK6Q01QRmlO4teQmQh0tVROw0T0nUoZnwJDhowejRbIHoUQNB6JEtAPEmUFs+qV5attDjHFGiPYrkEtls1PqLelUbl8/r5wWERtkMfpWwgc3JYuXr1lQqVcyoUPZTX5JA5SwDlFcrosIXvz1jYyXYLrk8Y/vZk51nuw1uz9CODbZP4sbG0yfrG+u+T2KhqXXdEgne7u6OgrcYt8R80Xni06Jkjz11w4GRK/BWFM2qXCC37uECCV7O9jExI6t646u4QJZctYG3uRqSFzTJsoLSFx721QpffnUv3yjeMXgM2zPfVkXcXUzEGIZljOTVdEi/LJDQ+OLoTa40L2qlCEq+XYYT4m+uWZbhW7hWr7A0qwsSm7vKmylK0I62qnY0hVZFQdxhBcKb77HqOiiZoZ+SuBf0prQbd7H18N5RAegYWwjv3qAscuI8umgPk4uYuFVsGzNK0qBFKTEUbdAX9o8XKNUlWLxTfJI66YQqx3EaduUKhWIxV9qmCR045zBwk8gIR0FZ2OMEAk5c3yAcDrH8b3GunWZKm/a2y2mogn8U6zmGvID9mLbbYxz/kh4BW0KbPQndxHxnEegBDZPcJVsKhBgLBBFIlWRCIlxvNSN2LUEkAggR4EAIFsmsONYMCYRIzwBO9NtPA2IL0mwGdD1d+wnt+9yTI+LaRqs0VHhTN3Sps6B8RpmQIY4GMmN8CdG3GnY+BagIcTC9KSYWHP+p4SGEF75OMHj7jxn4EUOiDjYGWgYVXlE6DyQT+e+55N1bKGagobtJ9wc16jSi1agGAqP6bn/1YhoPcLiH2LRPsbpothTcdAQCCnmCT4GQ3EDkoaonf6EpSsMM/lxED2n6A5qtWQmwt42aD76NxNEuxw/hvlArbgkVpZfUmAKQRlehznF1/Hh1M7az1XJ1xOltpu3V3KPfTcs61sDGWtCQpn8YbXKZORT8w2iLs82h1x9G22tBc+r8YbTD0OfR4g+jXc5XRXk/jJ7w95l09sPo6ZoSeBZATT+MnnGVDWgnDdO6asbDSSUBcwf9/pSRQMlcqE8IqYjMixp070zistSe0wC+7TStETWj0jKpyokXfaa5VEGrIJTkFKchyjIDG1AgZj099z2GbCnBa7rsDW47vZfHafz651fn74/SFwv1y/PvMmqSdrWrodi2IW6lVKDfDHnXus1cgcUyN1TuRL3gFylyPf5PdzY+G41AtqZ1P3CVDKC74dASD9mIXJabK2wKrh9+FGBHez9boNz74dZKfOXQCrQWncLpbPznEDFRahJUp6zqxeJQ+5UA690fBymRD4S8GtyUTx0PodoWy8a4XqIks6UIyr3LhGgL0SIfpblTA+Q8TYg4sTYKEWQePFs6uRyZaf3UhUBlDdU0hWZYCCcqUftLPIpBWJjwWPDEi5eVabk5RTc2HxIUggKNtoA1bl7R2PbqZJ9NI6NoUHIlGAIkXcc3MY4FY6Z1ByR6T9reKWGMqO5Npjsc8MbLZLq3AhM8iGftETUb6q/Rao/2pStbcYbmYZHxSvHcCKjTLiPWLUrkm0UsRhMoxpoeD12Wvl9BMaKd1y1m5gqSoqnYWN8QkMcRBx2S5PoODNs6fSHqgj21PRttyTzlAdevsfHXMdKKvm7UUsXmpZO4q4llkUc/iTDtJes4lZeKrK+sFQ21zuoseZ6v5uUFDNUabbnU7ZfRCIow+2LYQulat/ble9hCxqOO+kaR3OoR+EulUwBUQ4yoLlklWFSXmClqVBT7S6VjQ3+44FINu74kUw3DEm18kQb57rn8/1Ll/NGqHJ9+SrLce9hR64Ezulch+sWQxvu0Ei6Us4FYKIGt4uvyJTYdDWBHnegAesqxR+Y6ZlE/wfTCG9xwkh6GFBnjEaLUIQbGFRyESCiLwhQnv2CCoqELS+tb4zaU8yndpMetOFPt/a/HS5klS/wz+Ec8oCX2L5MkI6PLcX9ov8qTKJsOJh5TukTjLNSJXnJ4MvaqUjPsFZieJmIXDnWb0FIa8ugTHBpoyPFBZgPT8zYvyxUmpOjPcACbFGi3TFrMFL4sLkfd6Yt3cHkq75B3JJNT9Ru08Y1sh+uHdIoDUzrGxqC8d/jZn4n2BH6XJsMEq4pz1pzBHQRkHOuSII25a0bwWEmiYhpPbkY5nYeDgTB3K0E06a4tQxzLPQ1WgovpBMFJhxB9SH66CGmX6tJ0TSj9gpYA942w1MOpuspZXoNLtnbSRsouEkTpsQ/kCBKbj4rjsUgatMUoguN5Yzt9P5s8dZUXRntjaxJvRcQlYB1y8K4QACfTtN+WQTpIWKLLEuJBqHmf4IjB+6H4i+QcCY+dLEKDUgCRiaNUWv44K3UIKRNQ8L15Nwg6egsSljjvokR3SuCoF2YRBYOl6ByCG7XMBKrEgsXgWd1P80I54qAHpyQC39ZqTdg7j0dK0CKBmgTbjD0pQv8GBYOUgzo/+/PZIeQkWvamoI6WaM+laq4JKCUMQVYbPqgxRpjA3kTRNXxyRIhDD6g8ExVVFvGT4HLWp/6CFpRpt7CxlCWbXl5COZqvKq1e6E/hmOn40VpYvUlGvfC2RAFQ7OK0nfLcNlGPzSzfpNW1/RurA86t/lEzHMXgwlq4arkCqVMSthaF1dOwTQQDzgkFtN4g3SATePcc36++cLc9ConTh1hZUuex/takP94j/N3CemSB43RFDPhC0Io+jUb99gQcYVaF2Cm+lqK3mJHLttsk0ad2x+jqkVxac0XHHKXxQroFjPS0De+90m7p8IcmiHXgpV0fNdnLch+tcEr0Gk5aL1iCep5M/vb25G956t50krzRzkF/2zs++BtMD5SRGZwK1y38KxwYYX8uaSOi6AVX8IvDDnKBsOIKqlyYPbO10wbE7aFtVQQYo/CA5nZyKLm5q59G0SpR81XKVN5kfvY3HnvzeksbATvQSovr7ltFNZzTk+25Cv5gNThETHg+A8DJRVHMB4lx6CTdOJqom8jdNAe44ZyfwxLTHUwvLHtFNrkd2Mq5KmHUxwDefF7DTJJTv1l5dWGD8qY09sYEkac4kKHvrA+S8DLTzwHtfnGqMFOtbk0dtl28ej69hQM6BiWvqvjpgXXtZde8IvMadIIDN1fL1oQKCAdROHAtQJziwOWUdgcKnZqQWU8Sjs3FTzrBgftuP3iO9OBlNBjXgVxFrWRoPQvDG+UFb69yQyzsmuqopZm4OMgstU8OO+edk/N9uDhfto9hIgQV3E+GYN4vBmpC8BGSHBGIcXz8JIDrKBh7ldlD0CHgVacs1R2UB1EWX45IBsR1F0Qs/eE4GoST54OpmaA6wRoO5QIL2dEtPm0juGzWvVKl83cPYfs+TJsUz/HtyQ+e/TyVY1QvRCG5b9kPDWWhgoi5ynNf/Fn/BEcN/2QWVnsErPnyde2uwZtoCFUGjQ8HX+pPR6PbwMQnF31HtkqNWe2mYR8JUHvI8b4LKAAlanTT+XWPI5B6oDDZas1Kz/mDZxJQUv8CvvtoKZ+4X8zn4oxVwA08aRju2dHez7XKEGldrvCgwCFD23Piw7fKY+LDtzU8JXISzsdL7OVkd9niV8pX9kVAYx3Hg7NKtwEZnyZ+CHKsEQqxuj4Ej8p9B2RSGQ+AWlPFm14zjuh484s9LM+qTfn/9dg3/nNDeX21Wmcl5vdaVQu+8O9UlCX/bTH36Vjb9Ycy87r+Vm5P119rGtB1y6RtbMp+YGvu47mKcjW9V5G1pgcrst7TixVF63qyIu88b1bkqeXRioyL9WoFxHt4tvJQLtK7lQEuzsOVwTX3cuViBU9X3xx81tzDlQE/yMuVIcz2dOUsX8TblSE39njNqYc2eikc7d8/q3XVxvG/HTuqY+9c/m/cyYBM2iI4I68N84sYPzUu/100dhYMkiWY1yhkhjS3RBbH9CvZG1swM7bubVykDa6G7W/eutHi30xL4/Jaq1VhKjyrY/CrQqJoRES4BDMwrdYDTX9nrjGvCg8x/+l7BhUJKLPYCVpqHqoXcN9f0TJn46LNcWcYW0vcqmr3POtBma3HpQra1HbG1rD71lNqZVsO2sFZmcHrvrVU2tacJlnWsj+uG3NLmFTp26ruVXGlUYw71jdK3auKsNzs5bRNG7POCuam+1ZZbtNyKjWGqrMZFqBqBIQ23t+aY1uuSsw4jgmHzTcu9srwdDbHnPPl8PesUXWboGmnbzBSlNJuY9AySgzHzmN/RjOU4YbyfPg2N9N8+LZonrELGoOLa2bx6hbLibKXFPGyTB+uEcLOWjRdVOfVRgjb9OC3l20Hrg3BzqLtAr41IM9z5qnxqyeJNNJoEliRUFP3TuzWfG0+Q1QBRP7vY1/n3jZadVuXbtTlXzrAxsbu1kqws1WMsLHzbHdj94mpfF6ADX2c1gqwsbmxvr75ZOPpthdgQxYm61DnBtVgGFs7CsZigmr8capCDPrX1RYGi9Kgi92Ed6CSOCCb2/cIBBKObu0D2Gb+qQH8GnFAjJEsd3Kzrpk8+QVXfb46Djov356cst+qfy6kaELBg/hQKlEFPLGUrTq8VDw6sqduFiaZ2tJBvEuuP0zX16Nnw5JzM/J8MiWRm6TwXPlPY9rFTYliEykWgG4Na6GtdltldRgMaDOB2uBKOHo15SuAuD34jrZNqHgwSzNqxW0Rca8XixBfDcNLRC7spomIBSneZVoHj43LwhDz3XcHLoI7VQIG2hZ95viG6F0JjxPAfZgVadTK3pRjwhH9JMJZZcrW4C4IKwYUXkA0e59AyUasLBVFm6PqcdIQpCCJUbyMsb5j1qLBUoIwgVXnVjokQULvRCQgzjj2ZNUA/0sLUTQfrqGiFzEScS2J/IEmYqMTKZ4XbBFQ7rxfOs3f0QwBqKv4IramigpLFEvlZnMW8FVLoWRB4m2udX8svS07u4SAsNT7suCNhYDnQZ9oTsBR5MTOgc5nbRpjxbZXwbV8yfPzHLvivJgUw+jCzoaemxeTwrkH1yNQ6pJYm+5wysZaMJ+gcPSJavLBUSeaEQuOQNFqzSYHwHlnLZi93oloY52zcmt3LbjvauaYFA3WLoenqL1SOfxEybqUGBPNlyGPZdPFpa4JPqs716tZ5dkrCuox3qC9aAmqlGUxd+MlhFXxEi7fHY9ebYUff1vvZL//6/Sw//7Jr69/evJr58nJ+au42/v5l8nBP18Oj3/9+elCQynIlREOjfEbD9PJZymRizA/Bvu58bPkmHLZbYeN6JjivUj6//1purPVHiXJxXl+CZW65vx8Y/d8CHn3fHN9Y0f7S1NO57oq5JyDn+s55Ds3cRYOX/aO+Tua5CkMHkRURiSNdHmaKw9JFeWMX3w4ClJ+p1TV3UBfgPSDUAb7L/eOXxwKKyauNYZxUCs++BSm4MMT+4yRMnl4LLJj7qBlmSmFZm6kJEYbN3czNYMspwyRYshl9TFbMWftMc177PDzBDSQNaeNes9MuJurwWW3Pc7C84iBnQPYOeX7bn/ru71n1MPXmnnntafmXU7Un1MGkKQ8g+nwhTZVL0Coj2sehCw2Nun3N4ZIl8bRx/MkDTO5Bv58SPuaLCDVyLcne53gBb6RpKW/mfbJMltUAwtNgmvH5Aa2lpQbhEkr7RPsjlglH/wfk25Qw45xKmVrYFnlSpiX2bMk5iH2KOYuMmdrh2vU6a+Qgm9IzISgnYjFfYVWwC1+abNleTpMe/QKZSX2kSCezEcxx6mMbAvPJJ3CAjlC0IJ5Mf1xL4huYHIPvtG53bcW4VLKsWfG5H6AwTqVA4W2oDFM5uFm9nRHc3m5ANQE/g1zYtwX5eBtVq0ZdIsuqAak04vbLByPr4g2Y00ZxqAxVAWRw/JeJJO1CV92zwtVoL6IlEmLszDFMjMcrBpX5k36CixKL8Yqw8oPjq+wFIyec1T/QCLSw5bIGs0AKk2v8pkMQ94lBnceLF4MgYmuMXc9H8VpNkH0eq9zCifdrZU5a9s/ffmqE7x+pW53VnQQ3C/TKiSKHEriEudQZ1+hGUxUTACDRMmBwPLjHl4vyP7k+S55sJmOKoYBuxOknsSfIsxEOLwDhkzvZR5EElz88FLW7CehKLq1JvxpPDq8tT29taE2rtQr/COKxoozctG0twDt0Ok39zGYIreYHgMrV5YM4PembNzsF/VNlYbHDeSRXRUvzqoSU71aK+C/gSeIC1B7hZTDkaPQlTNWe7FI/79MbvzDWUUU3CZ6uDhyp9+RWtqEhEnELjWXgjlqnpJro/YGWbICv5dwcBNizxazv/JdkoxlE8yiOcYVk6QSIjTSYivBNFxwmkXoykhNBAU+dCiiJJdT7T5S8RoJolMhx/98MXr6+vgacqQgw248tDYvQrD4Yff6MiXBxmLsfiyFWclfKpo0GBhYaqCPsKhkKIoxp7xJ2LAf9rUPSLAfDohvDyWAwSygE9z4oj9NILDLV35NrecrPB+Eaqzk1f50CAe9im8drZ0ofG/bdbTz+rnoRdK7rUCGM21sBXtjaaEk2B9f0iS/DTrUbtrLYFgW6ljMiCd7iSqe5d0g/D2UAfMSGY4ZMRui05qGCLPQbhx+RedUkdfH2dnRzfsDMN2ZgamjJ8sdRyoy+6harF2OrpX2AJR3Z6HM3kjBMW1HwpkK8pbwVizjY84F1UTIUbcTH4D7kxm4H7EB71eWncSt5M8wlWdhfLL34jA4fXlyuHdQkcPH9IETuJ3TCnnTNK0+5exM4u71rZoQWdC97aqTdiaLaI2KHCsehGs8hRveNE2hnVV+rHE22+4nO2yq81dkcKsYkfTZCL44gTrTvZgJD42GRPEBxBcEaTIRy3Vmd2OQKWdCaND5rhh8m2ZT5sDkhjE+xKIINKvJ1AyXS3X0cFh+hYoTNK6HSUq0o2Rsiox5qVqUCxYZrSO5ms0yxM/O7w1hMUPJGBQzNcHwBNYR1dEVWV7ejudlwZMKIxpFPfAqusDjCM5JQTKBU5MMcDIS1tuabDbEMuYRA89+ngQG7lxj6ld1sxQz9MnYY5Jr8VUyldTskBlqrB2Mip6hZc67mFksbOUeqOD52HcYnqjOHM5KRD5f8J4XGdTHHt5X6uIWwX1P3+LSD/ANGFpadUFYzj+YtvGTx9i5MUKbolmr55UwB+2vZFLdL75vam/JD02YXE0QL65cvzvFzJeF/TCNrWBeR2L966h0lHSSPCTKV0PJBsrMQmZHDVPtxIdYSxBeYuPKssl01I+za6ueTp6EAvqtMWSFWecqueklN6OShphPdkt0auMKhUPkbrMqc1JRzEpoXIXCEY76NyFk6EKbTulT8J6/OcOjk+9b5QtaqiFJwiVVmk92jTq1cYX7IfbKqkkoX/M1p78DUOmnxtUfT3+H+c4eQpOEAvqtMWSXlTbT3VYaqzlfzV/Pr2Z8PRxNupclA6XWKInJaQ9ntlWDKj83rvo0nUbFBiLVbZ+d0riSznQcpZ2om0aT52HmTA7+FMi3QH3k/iykN65VYfvzyT68LNyO+/kk4NQZQD0uYT5rbqxsitc1n6RM7R0st/ltJJ82sh2kG5vf59uCxU/a9k/ef//lNskJXtkcgcZGR6QEJ1OcoCJk9gbjq5A2NTFaeJ09i1cp6d59nBRgrZnTFIO1YGDeTXX3MdGpLiJp4ZYkANVBeU1mpdB3xkzkXjyqBQMSgdcm4xFdcF04RTCi6bk2iibtH9Vx+uyHYTRIoslEicg4U47T9vvy2VfQze3dN+E1HNFTOXmhdKUFW7w1KUp0wVqtzLPBIBDcgInWR/PEGyk/ClnErrLzfYOQQ5FmtbcIsYY//Cyw/DzHg46nBBx7FJrfBy8SGi0izpPuVfAoGtJyGMy9UF57m3/5MC+2XRyCRYlZ3BmsOn1wj+gkryaPMnV9LAlanVGSBD05i8DSFw37KGRvNtaX9yB/sO4bki5JZWvB6uvkahDFZVFLlpaWzir9oPj2UGdys/fU8oeUplHKh2XOSgXdGdEfigS0vk9UXrH+h7MZ6hH9GyzN8mnKC+kHRFiwXInm41xunVzGsV21axqPI6KAX9bTqNUqaZDtMXSWz9OCE8/8pprhaexBhDAURcxcB5+zUt+bJmjV3naXvynF56zoXyPVV/vlLNtuNwZoDtxMRqniS7vVuCic5S4V8I1xlq44XuSrx+S0zzIW8rv+MSWlWRixC7LeX3unlBSAh4rJb3mylOR1JAguVOKqUlLONmlwsaIHiinlTDgF2nciMbk9l49WCzqqVisHogCU+YzkQKxJAuo5w2cjB+vv8aqaMpCtFveD5aph5ohxx2i1ODpF7k9RJPMlNM54WuAG9JZ2q2i1vsnxwI30lT4SrVaFW0SrNdsVAheWw/vhTNwanCEzng/LtpODYGP5NLRa9prTfgyEErsu8J3u9FLqoSCwJACMOCK0WlXOB9LZqwG7F1Avuy4FaMgZfAOK/a1ZP6c2DJPtB0AYlpr+df/Pse6nfCd4T9vpq2itb+BfzuELbvSfNdsK1vqzCut7Xl2F6X75x+DMNadXIViYqo5h3t58ZF3Q1lOwpZtMMIPfscH7rqNVnKrw6h1+1C/+kC6G37uiTfqu7VnpdNZSazByq2bgPkXOWG6MRU7b0joS6+jdTDsoCjmamZFY+e5KLJAliEtey/bnoGvPB6uf1Ywosb61Wt/nGcoNa/lwGOOLU8Kzk+XZXVMMUgL84cFg/KeybuWdFpQyzvKp0mQln91OWlWRYexemAndNjdJim1dkpRWPRtSPhB1jEPWMZaaa9sxDi0vxAaU97+zDy8hkFxt002Rflt2oCIBsuqYZ1up2S9F041Va4sIqW0qYWxtM0tQMK/wttNigYERU0pTLqnSRPFsSToqjymsbRrCq6mXwLZ8+NVoo4Rdj06zajIWDQ3AsjZwWes98IwTfp25zcCuVJse7OYZk4MPQhsBbAg6zYJgLAgaQKkun6GUmAeCSrOABqd19gxBvwS2Zj8fGmsr4Nx2AobI1db7DVZDbXTosgBEJV+cErYqXoOyleNc2tKqB742PUe7oOEW5D1dORpQyFlshVZo28OmNN85K41/znZma6xliZ0pJfL8pZrLqjV11Mt66zqbqSNuUHEDIbm09UahbKBbUic4ctHg5jiVKoMxwGVK4GXVXF9Pa1pYT9trkLe500rt7Zmjky0S85wZn6mkzTuhUk5TcyzH7qxezBErHMLDgoZotagXNWR7eyXY3i4GDdne2tp5tmUqnxs0RJ13toOGbG5sPFnf2Nnxgobo7mXlJmZeODNsCEHZ3d1RUBYTNqSOJlf0zlVRMnb/NwXJcNYGBzrSSoMryI+jYEocNwlyfLL8htiqb4ITcIHg5VitwHSJ1Xc0R+lVxYjGShMsiR3DwhGXoCb68Tmn7G92n3y0s9U5Zf8HtpZH0DtF/UsO3VLu17x4/tnxi0+H/x4eb1x/PPrUGb1Z6GlpHhUWyGTWU4NDMMwhB5JFjgr/IlrSpstyo6JJ4nE2FiIDJehSb3MEHZLVC2a096dH1qb5pHdzNW7D7HEenqfR5XQQpuckcp3Ho/MUUlHY7j7dHm4N1WluF9+ZJ7AQ1vKGhp5W9ph21JIrEO6BTBkWRGb8ozwWFpgyECt/CkfTkISrzSeTq5Vgc31ja5YJ0IA6r/VXVr9r+uRj3i7osmnvm+z5VZ8Rr0TylbTFmgNK8X6ZJLVuE/cVUtLPJybB9GixbWUIFTFiraUoOvNwpxZNSKzwDCIHIiJHCl1h/om1hdBBEp0Zp7EKGgveKkpdIjgDsSJm7imhS8ingEucSBcxX1nksPWV9Sr6tVAPayyxMR53jt636ee1RSYzKBWzafdKTvLNhV8Ef5B45OT4rZzis/KkEZSpCOjdZd0wR9kIhiGH1JDAXqOAdYfBME5ThCox4VKxSustml+LncyKYhuSRElBvC6o+ocRy4ZcIQL3ZpXjqcKsmEj6+DJneqdtsz8g5rCiI6fJ2B4BrlCoBkIVc5R0hHDOgM0RB3BBHJGUErt4Ut+4+yqu0qjsoT2ijanERQk5FrhsbgxrGNEgYHqsQBNzEeeq7xVazykxc12S5AaIXItAZF5H16rdJ1/lf3MhlxG1GqMxjLIsvIxA+anN0Y+T5IfvNo9S+mdGSRMgBNC24k+UoeRSx3JvWEa7Mw6HphH8VO6+xd9/GVmqI2eKlBcvc+fGg/H+Xli36FtKIgQsnULnqsqKHEkEMUt4bmnztteBVacfyvxz8GA63ETgDEg4RH1id8/jVl9ACxghyDRrgG+zSTT8O9EbmtgxxyMXks0GuAmH2ac1kxvxJ1dtbX0h6s+B2MF9BcQxYaVDVZtGSGHcZ03NEtz96V36Nxdw/QOAROrjyxEN9yDqK28sF6GTw/23b94cHh8cHgSdX56fHB4cvDrtlGHgHhGsALyQg4KVsJ0zSXVyzTgRVVHc5gxvwFv24h5hniW98DLJOeDCF67MTO65mO5jA0rZfpZdEXkxoaWYzH5Wpy4X1pSjuD+55Z+8DSapKfKnN4kwIdkKXzqRr+7F4XvKYvvpFaKuJje/jHOs/Q9NcX+eJEPxD1wcssQGDHFdA9E8vgLiMu4rp8CKj02RPrSDhmqAILEMMchBLq5J76K0T8T+NEao07wtTmrTRtiamWQkpn+YcvpETInD5Tinix6ZvVE8DAfZ84jw/SlKr82wFL40bk5GGA/gecaAuDU8HIXiD2vCQRgPbg+S6YX2ynTTmqLN4tQk+ClKxmHau110h++nYXZl3Yqn3ptiqYp9882i8ds7hj1xcICg5ycszpsZUfjUFOvV1dVCxoeha0UxDrP+tKtOFZV9aYrsKytAcjaZ9vuFYg9D3fCLp1fTy9e0zHPci5+aIl/I5bEaVUeL+X2OXjL3xjVosrbvz+GpXIx6Dnrq6zWZHLEFhrboF6+O5L4p3Gel1qJiJ+v0R3M/ZpXL08xX6h9brbatU2y1XOXhmXG/a99DW6dUh8tlqkACDcXdfUEvz1LsgVdvtXzWvvxPIsAutVql2jgVH7b1ao3vtjE6tTNLN1ZlLPSVahzpnmAxsC+uDtOVcW3i7DZftaUK/YoyddVVUoaLHCQ0o47fntLjwzVNCi7j31x7hNIFVdGZp/GpGrmCvog9H++tEYLHFNqyOKWPnpf+bC7/k9w8y8+USqWq5XWUEMs0IFx9AI2KPJVqS/jTWWNtxcNwQ7fwz59FV9ForCTzHZGjUuVAq3V3R5+/X13lf/TI7+0Ssfhuf56cq0oaYfSuTLpUuXzh746lOfWxTNC6qyE5qeKObHNXS1hRJQuixF2lbKBKWPz7nc+QqyyKA74znLCurcCmwm9VfSxwhXcFNk/lLPJgd5bl2fFH+Ja3CZg+kYxcD3ZN2FhfXwnop+icsLW7u7FT5ZxgMEEyrwKgYzsraLOx5awAb4fNzSfr/g0nFnllJmauv4ILaDH+Cg/n54Q3rfJm+N/kzIAHS3OpLfdIdtQxKU32CBfXtdmVp41rKi/CVKAdHp++OjkMOq8ODp/vnTADLOaWgq1/LXgO9zp2VN97/Tp4d3jSeXu89zp4dXz09uTN3ili+atSUkLch5hPctiUPrv54iONSoIbX6fsAb7xNLiNmGkY9JbXGJdZat+STuDpg6uPEgktaPcDYvHnMhderMY+xixTm7tw48PwmlhPtD4cXaa3y5hhPsQ+kcRxOFDRJ60EHzLSL5Lkup0lTPvZz0HoTyngMVG/QRTTfoVLk3PwbrKppGZXKWoh82H1hrafKz6Jh0YLiAZi0Bx3lU/hsxs7Wx13Fdpg9Rw+c6clyyNV8zi/qP3rTVXNTtjTT02ymlPLmjz1pkxhOigkZg4ykybPS8d0qyW61vTS6Qynn4a342fdF5Ptt+Hrj4dPf4n2di9PVk92Xnef7nfH/ej578lesvdztngHHnfl+0vINCtfPibJLB1v5fCNWjT/rIu0cKVHFvRQTk0SEtGub+DqS5+j4QVupsz4duAsnkyVcz6KTm5w2bd47stY0bb1KRmUG6S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"response": {"body": {"base64_string": "H4sIAAAAAAAAAySNMQ+CMBBG/0pzs0M5oLZsjm4MMhlDznIkhotDryQSwn831fV7ee/bYVVOCp257zALvdIYVccopGWEycmSQ/a0WKwY0c7P2nFgDBbbpjlHW3tHSG3EOFHlPMPJ/JrF7rdLf72x5kE5YSH/i8yfDJ15ryLH4/gCAAD//wMAK6GlzIQAAAA=", "encoding": "UTF-8"}, "headers": {"x-ratelimit-remaining": ["297"], "x-xss-protection": ["1; mode=block"], "x-reddit-tracking": ["https://pixel.redditmedia.com/pixel/of_destiny.png?v=srQbQzA405iVMg6ehjGKyocE%2BloYX9mYsOKEOco4pvMUIPYwMys9bnoqYobWqJWdZHb09U%2B%2FdNebrB5pKv50A3KRq0CV%2Bqpp"], "x-content-type-options": ["nosniff"], "content-encoding": ["gzip"], "transfer-encoding": ["chunked"], "server": ["cloudflare-nginx"], "connection": ["keep-alive"], "x-ua-compatible": ["IE=edge"], "pragma": ["no-cache"], "cache-control": ["no-cache, no-cache"], "date": ["Thu, 30 Apr 2015 03:03:00 GMT"], "x-frame-options": ["SAMEORIGIN"], "x-moose": ["majestic"], "content-type": ["application/json; charset=UTF-8"], "cf-ray": ["1df002d3cf0b0107-DFW"], "x-ratelimit-used": ["3"], "x-ratelimit-reset": ["420"]}, "status": {"message": "OK", "code": 200}, "url": "https://api.reddit.com/r/reddit_api_test/api/flairlist/.json?name=PyAPITestUser2"}, "recorded_at": "2015-04-30T03:03:00"}], "recorded_with": "betamax/0.4.2"} praw-3.3.0/tests/test_authenticated_reddit.py 0000666 0000000 0000000 00000011737 12550124026 020126 0 ustar root root """Tests for AuthenticatedReddit class and its mixins."""
from __future__ import print_function, unicode_literals
import warnings
from praw import errors
from .helper import PRAWTest, betamax
class AuthenticatedRedditTest(PRAWTest):
"""Tests authentication from a non-moderator user."""
def betamax_init(self):
self.r.login(self.other_non_mod_name, self.other_non_mod_pswd,
disable_warning=True)
@betamax()
def test_cache(self):
# Other account is "too new"
self.r.login(self.un, self.un_pswd, disable_warning=True)
subreddit = self.r.get_subreddit(self.sr)
original_listing = list(subreddit.get_new(limit=5))
subreddit.submit('Test Cache: {0}'.format(self.r.modhash), 'BODY')
# Headers are not included in the cached key so this will have no
# affect when the request is cached
self.r.http.headers['SKIP_BETAMAX'] = 1
cached_listing = list(subreddit.get_new(limit=5))
self.assertEqual(original_listing, cached_listing)
url = 'https://api.reddit.com/r/reddit_api_test/new'
self.assertEqual(1, self.r.evict(url))
self.assertEqual(0, self.r.evict(url))
no_cache_listing = list(subreddit.get_new(limit=5))
self.assertNotEqual(original_listing, no_cache_listing)
@betamax()
def test_create_subreddit(self):
# Other account is "too new"
self.r.login(self.un, self.un_pswd, disable_warning=True)
unique_name = 'PRAW_{0}'.format(self.r.modhash)[:15]
title = 'The {0}'.format(unique_name)
# Verify duplicate creation raises an exception
self.assertRaises(errors.SubredditExists, self.r.create_subreddit,
self.sr, 'PRAW test_create_subreddit')
# Verify the subreddit does not exist
self.assertRaises(errors.InvalidSubreddit,
next, self.r.get_subreddit(unique_name).get_new())
# Create and verify
self.r.create_subreddit(unique_name, title,
'PRAW test_create_subreddit')
self.assertEqual(title, self.r.get_subreddit(unique_name).title)
@betamax()
def test_login__deprecation_warning(self):
with warnings.catch_warnings(record=True) as warning_list:
self.r.login(self.un, self.un_pswd)
self.assertEqual(1, len(warning_list))
self.assertTrue(isinstance(warning_list[0].message,
DeprecationWarning))
@betamax()
def test_moderator_or_oauth_required__logged_in_from_reddit_obj(self):
self.assertRaises(errors.ModeratorOrScopeRequired,
self.r.get_settings, self.sr)
@betamax()
def test_moderator_or_oauth_required__logged_in_from_submission_obj(self):
submission = self.r.get_submission(url=self.comment_url)
self.assertRaises(errors.ModeratorOrScopeRequired, submission.remove)
@betamax()
def test_moderator_or_oauth_required__logged_in_from_subreddit_obj(self):
subreddit = self.r.get_subreddit(self.sr)
self.assertRaises(errors.ModeratorOrScopeRequired,
subreddit.get_settings)
@betamax()
def test_moderator_required__multi(self):
sub = self.r.get_subreddit('{0}+{1}'.format(self.sr, 'test'))
self.assertRaises(errors.ModeratorRequired, sub.get_mod_queue)
@betamax()
def test_submission_hide_and_unhide_batch(self):
sub = self.r.get_subreddit(self.sr)
new = list(sub.get_new(limit=5, params={'show': 'all', 'count': 1}))
self.r.hide([item.fullname for item in new])
new = list(sub.get_new(limit=5, params={'show': 'all', 'count': 2}))
self.assertTrue(all(item.hidden for item in new))
self.r.unhide([item.fullname for item in new])
new = list(sub.get_new(limit=5, params={'show': 'all', 'count': 3}))
self.assertTrue(not any(item.hidden for item in new))
class ModFlairMixinTest(PRAWTest):
def betamax_init(self):
self.r.login(self.un, self.un_pswd, disable_warning=True)
self.subreddit = self.r.get_subreddit(self.sr)
@betamax()
def test_add_user_template(self):
self.subreddit.add_flair_template('text', 'css', True)
@betamax()
def test_add_link_template(self):
self.subreddit.add_flair_template('text', 'css', True, True)
self.subreddit.add_flair_template(text='text', is_link=True)
self.subreddit.add_flair_template(css_class='blah', is_link=True)
self.subreddit.add_flair_template(is_link=True)
@betamax()
def test_clear_user_templates(self):
self.subreddit.clear_flair_templates()
@betamax()
def test_clear_link_templates(self):
self.subreddit.clear_flair_templates(True)
@betamax()
def test_get_flair_list(self):
self.assertTrue(next(self.subreddit.get_flair_list()))
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from praw.internal import _to_reddit_list
from .helper import PRAWTest, betamax
class InternalTest(PRAWTest):
def test__to_reddit_list(self):
output = _to_reddit_list('hello')
self.assertEqual('hello', output)
def test__to_reddit_list_with_list(self):
output = _to_reddit_list(['hello'])
self.assertEqual('hello', output)
def test__to_reddit_list_with_empty_list(self):
output = _to_reddit_list([])
self.assertEqual('', output)
def test__to_reddit_list_with_big_list(self):
output = _to_reddit_list(['hello', 'world'])
self.assertEqual('hello,world', output)
@betamax()
def test__to_reddit_list_with_object(self):
output = _to_reddit_list(self.r.get_subreddit(self.sr))
self.assertEqual(self.sr, output)
def test__to_reddit_list_with_object_in_list(self):
obj = self.r.get_subreddit(self.sr)
output = _to_reddit_list([obj])
self.assertEqual(self.sr, output)
def test__to_reddit_list_with_mix(self):
obj = self.r.get_subreddit(self.sr)
output = _to_reddit_list([obj, 'hello'])
self.assertEqual("{0},{1}".format(self.sr, 'hello'), output)
praw-3.3.0/tests/test_flair.py 0000666 0000000 0000000 00000022206 12560603060 015040 0 ustar root root """Tests for Subreddit flair."""
from __future__ import print_function, unicode_literals
from praw import errors
from .helper import OAuthPRAWTest, PRAWTest, betamax, flair_diff
class FlairTest(PRAWTest):
def betamax_init(self):
self.r.login(self.un, self.un_pswd, disable_warning=True)
self.subreddit = self.r.get_subreddit(self.sr)
@betamax()
def test_add_link_flair(self):
flair_text = 'Flair: {0}'.format(self.r.modhash)
submission = next(self.subreddit.get_new())
submission.set_flair(flair_text)
self.assertEqual(flair_text, submission.refresh().link_flair_text)
@betamax()
def test_add_user_flair__css_only(self):
flair_css = self.r.modhash
self.subreddit.set_flair(self.r.user, flair_css_class=flair_css)
flair = self.subreddit.get_flair(self.r.user)
self.assertEqual(None, flair['flair_text'])
self.assertEqual(flair_css, flair['flair_css_class'])
@betamax()
def test_add_user_flair__text_and_css(self):
flair_text = 'Text & CSS: {0}'.format(self.r.modhash)
flair_css = self.r.modhash
self.subreddit.set_flair(self.r.user, flair_text, flair_css)
flair = self.subreddit.get_flair(self.r.user)
self.assertEqual(flair_text, flair['flair_text'])
self.assertEqual(flair_css, flair['flair_css_class'])
@betamax()
def test_add_user_flair__text_only(self):
flair_text = 'Text Only: {0}'.format(self.r.modhash)
self.subreddit.set_flair(self.r.user, flair_text)
flair = self.subreddit.get_flair(self.r.user)
self.assertEqual(flair_text, flair['flair_text'])
self.assertEqual(None, flair['flair_css_class'])
@betamax()
def test_add_user_flair_to_invalid_user(self):
self.assertRaises(errors.InvalidFlairTarget, self.subreddit.set_flair,
self.invalid_user_name)
@betamax()
def test_clear_user_flair(self):
self.subreddit.set_flair(self.r.user)
flair = self.subreddit.get_flair(self.r.user)
self.assertEqual(None, flair['flair_text'])
self.assertEqual(None, flair['flair_css_class'])
@betamax()
def test_delete_flair(self):
flair = next(self.subreddit.get_flair_list(limit=1))
self.subreddit.delete_flair(flair['user'])
self.assertTrue(flair not in self.subreddit.get_flair_list())
@betamax()
def test_flair_csv_and_flair_list(self):
# Clear all flair
self.subreddit.clear_all_flair()
self.delay_for_listing_update()
self.assertEqual([], list(self.subreddit.get_flair_list(limit=1023)))
# Set flair
flair_mapping = [{'user': 'reddit', 'flair_text': 'dev'},
{'user': self.un, 'flair_css_class': 'xx'},
{'user': self.other_user_name,
'flair_text': 'AWESOME',
'flair_css_class': 'css'}]
self.subreddit.set_flair_csv(flair_mapping)
self.assertEqual([], flair_diff(flair_mapping,
list(self.subreddit.get_flair_list())))
@betamax()
def test_flair_csv_empty(self):
self.assertRaises(errors.ClientException,
self.subreddit.set_flair_csv, [])
@betamax()
def test_flair_csv_many(self):
users = ('reddit', self.un, self.other_user_name)
flair_text_a = 'Flair: {0}'.format(self.r.modhash)
flair_text_b = 'Second Flair: {0}'.format(self.r.modhash)
flair_mapping = [{'user': 'reddit', 'flair_text': flair_text_a}] * 99
for user in users:
flair_mapping.append({'user': user, 'flair_text': flair_text_b})
self.subreddit.set_flair_csv(flair_mapping)
for user in users:
flair = self.subreddit.get_flair(user)
self.assertEqual(flair_text_b, flair['flair_text'])
@betamax()
def test_flair_csv_optional_args(self):
flair_mapping = [{'user': 'reddit', 'flair_text': 'reddit'},
{'user': self.other_user_name, 'flair_css_class':
'blah'}]
self.subreddit.set_flair_csv(flair_mapping)
expected = {'flair_css_class': '', 'flair_text': 'reddit',
'user': 'reddit'}
self.assertEqual(expected, self.subreddit.get_flair('reddit'))
expected = {'flair_css_class': 'blah', 'flair_text': None,
'user': self.other_user_name}
self.assertEqual(expected,
self.subreddit.get_flair(self.other_user_name))
@betamax()
def test_flair_csv_requires_user(self):
flair_mapping = [{'flair_text': 'hsdf'}]
self.assertRaises(errors.ClientException,
self.subreddit.set_flair_csv, flair_mapping)
class FlairSelectorTest(PRAWTest):
def betamax_init(self):
self.r.login(self.un, self.un_pswd, disable_warning=True)
self.subreddit = self.r.get_subreddit(self.priv_sr)
self.user_flair_templates = (
('UserCssClassOne', ('21e00aae-09cf-11e3-a4f1-12313d281541',
'default_user_flair_text_one')),
('UserCssClassTwo', ('2f6504c2-09cf-11e3-9d8d-12313d281541',
'default_user_flair_text_two')))
self.link_flair_templates = (
('LinkCssClassOne', ('36a573c0-09cf-11e3-b5f7-12313d096169',
'default_link_flair_text_one')),
('LinkCssClassTwo', ('3b73f516-09cf-11e3-9a71-12313d281541',
'default_link_flair_text_two')))
def new_user_flair_class(self):
flair = self.subreddit.get_flair(self.r.user)['flair_css_class']
return next(x for x in self.user_flair_templates if x[0] != flair)
def new_link_flair_class(self, submission):
flair = submission.link_flair_css_class
return next(x for x in self.link_flair_templates if x[0] != flair)
@betamax()
def test_add_link_flair_to_invalid_subreddit(self):
submission = next(self.r.get_subreddit('python').get_new())
self.assertRaises(errors.Forbidden,
self.subreddit.set_flair, submission, 'text')
@betamax()
def test_select_link_flair(self):
sub = next(self.subreddit.get_new())
f_class, (f_id, f_default_text) = self.new_link_flair_class(sub)
sub.select_flair(flair_template_id=f_id)
sub.refresh()
self.assertEqual(f_default_text, sub.link_flair_text)
self.assertEqual(f_class, sub.link_flair_css_class)
@betamax()
def test_select_link_flair_custom_text(self):
sub = next(self.subreddit.get_new())
flair_class, (flair_id, _) = self.new_link_flair_class(sub)
flair_text = 'Flair: {0}'.format(self.r.modhash)
sub.select_flair(flair_template_id=flair_id, flair_text=flair_text)
sub.refresh()
self.assertEqual(flair_text, sub.link_flair_text)
self.assertEqual(flair_class, sub.link_flair_css_class)
@betamax()
def test_select_link_flair_remove(self):
sub = next(self.subreddit.get_new())
if sub.link_flair_css_class is None:
flair_id = self.new_link_flair_class(sub)[0][1]
sub.select_flair(flair_template_id=flair_id)
sub.select_flair()
sub.refresh()
self.assertEqual(None, sub.link_flair_text)
self.assertEqual(None, sub.link_flair_css_class)
@betamax()
def test_select_user_flair(self):
f_class, (f_id, f_default_text) = self.new_user_flair_class()
self.subreddit.select_flair(flair_template_id=f_id)
flair = self.subreddit.get_flair(self.r.user, uniq=1)
self.assertEqual(f_default_text, flair['flair_text'])
self.assertEqual(f_class, flair['flair_css_class'])
@betamax()
def test_select_user_flair_custom_text(self):
flair_class, (flair_id, _) = self.new_user_flair_class()
flair_text = 'Flair: {0}'.format(self.r.modhash)
self.subreddit.select_flair(flair_template_id=flair_id,
flair_text=flair_text)
flair = self.subreddit.get_flair(self.r.user, uniq=1)
self.assertEqual(flair_text, flair['flair_text'])
self.assertEqual(flair_class, flair['flair_css_class'])
@betamax()
def test_select_user_flair_remove(self):
flair = self.subreddit.get_flair(self.r.user)
if flair['flair_css_class'] is None:
flair_id = self.new_user_flair_class()[1][0]
self.subreddit.select_flair(flair_template_id=flair_id)
self.subreddit.select_flair()
flair = self.subreddit.get_flair(self.r.user, uniq=1)
self.assertEqual(None, flair['flair_text'])
self.assertEqual(None, flair['flair_css_class'])
class OAuthFlairTest(OAuthPRAWTest):
@betamax()
def test_set_individuals_flair_oauth(self):
self.r.refresh_access_information(self.refresh_token['modflair'])
self.r.get_subreddit(self.sr).set_flair(self.un, 'foobar')
praw-3.3.0/tests/test_wiki_page.py 0000666 0000000 0000000 00000012623 12560603060 015704 0 ustar root root """Tests for WikiPage class."""
from __future__ import print_function, unicode_literals
from six import text_type
from .helper import OAuthPRAWTest, PRAWTest, betamax
class WikiPageTests(PRAWTest):
def betamax_init(self):
self.r.login(self.un, self.un_pswd, disable_warning=True)
self.subreddit = self.r.get_subreddit(self.sr)
@betamax()
def test_edit_wiki_page(self):
page = self.subreddit.get_wiki_page('index')
content = '' if len(page.content_md) > 100 else page.content_md + 'a'
page.edit(content)
page.refresh()
self.assertEqual(content, page.content_md)
@betamax()
def test_edit_wiki_page_settings(self):
page = self.subreddit.get_wiki_page('index')
current = page.get_settings()
newperm = (current['permlevel'] + 1) % 3 # Roll to next permlevel
newlisted = not current['listed']
updated = page.edit_settings(permlevel=newperm, listed=newlisted)
self.assertEqual(newperm, updated['permlevel'])
self.assertEqual(newlisted, updated['listed'])
@betamax()
def test_edit_wiki_page_editors(self):
page = self.subreddit.get_wiki_page('index')
page.remove_editor(self.un)
page.add_editor(self.un)
self.r.evict(self.r.config['wiki_page_settings'] % (
self.subreddit.display_name, 'index'))
editors = page.get_settings()['editors']
self.assertTrue(any(
user.name.lower() == self.un.lower() for user in editors))
@betamax()
def test_get_wiki_page(self):
self.assertEqual(
'{0}:index'.format(self.sr),
text_type(self.r.get_wiki_page(self.sr, 'index')))
@betamax()
def test_get_wiki_pages(self):
result = self.subreddit.get_wiki_pages()
self.assertTrue(result)
tmp = self.subreddit.get_wiki_page(result[0].page).content_md
self.assertEqual(result[0].content_md, tmp)
@betamax()
def test_revision_by(self):
self.assertTrue(any(x.revision_by for x in
self.subreddit.get_wiki_pages()))
@betamax()
def test_unique_count_zero(self):
# When `reddit_session._unique_count` = 0, WikiPages pull from cache.
# So do Redditors and Multireddits
page = self.r.get_wiki_page(self.sr, 'index')
original_content = page.content_md
content = '' if len(page.content_md) > 100 else original_content + 'a'
page.edit(content)
# Should not update
self.r._unique_count = 0
page.refresh()
self.assertEqual(original_content, page.content_md)
# Okay, now it will update.
self.r._unique_count = 1
page.refresh()
self.assertEqual(content, page.content_md)
class OAuthWikiPageTest(OAuthPRAWTest):
@betamax()
def test_add_remove_wiki_ban_contributor_oauth(self):
self.r.refresh_access_information(self.refresh_token['modwiki+contr'])
subreddit = self.r.get_subreddit(self.sr)
other_user = self.r.get_redditor(self.other_user_name)
def scope_switch(method, u=0):
# the wiki bans and contributors pages require the read scope
self.r.refresh_access_information(self.refresh_token['read'])
retval = list(method(params={'u': u}))
self.r.refresh_access_information(
self.refresh_token['modwiki+contr'])
return retval
subreddit.add_wiki_ban(other_user)
self.assertTrue(other_user in scope_switch(
subreddit.get_wiki_banned))
subreddit.remove_wiki_ban(other_user)
self.assertFalse(other_user in scope_switch(
subreddit.get_wiki_banned, 1))
subreddit.add_wiki_contributor(other_user)
self.assertTrue(other_user in scope_switch(
subreddit.get_wiki_contributors))
subreddit.remove_wiki_contributor(other_user)
self.assertFalse(other_user in scope_switch(
subreddit.get_wiki_contributors, 1))
@betamax()
def test_add_remove_wiki_editor_oauth(self):
self.r.refresh_access_information(self.refresh_token['modwiki'])
subreddit = self.r.get_subreddit(self.sr)
page = subreddit.get_wiki_page('index')
other_user = self.r.get_redditor(self.other_user_name)
page.add_editor(other_user)
self.assertTrue(other_user in page.get_settings()['editors'])
page.remove_editor(other_user)
self.assertFalse(other_user in page.get_settings(
params={'u': 1})['editors'])
@betamax()
def test_read_wikipage_oauth(self):
subreddit = self.r.get_subreddit(self.sr)
self.r.refresh_access_information(self.refresh_token['modconfig'])
subreddit.set_settings(subreddit.title, wikimode='modonly')
self.r.refresh_access_information(self.refresh_token['wikiread'])
page = subreddit.get_wiki_page('index')
self.assertTrue(page.content_md)
# Let's make sure we have access even when the wiki is disabled
self.r.refresh_access_information(self.refresh_token['modconfig'])
subreddit.set_settings(subreddit.title, wikimode='disabled')
self.r.refresh_access_information(self.refresh_token['wikiread'])
page = page.refresh()
self.assertTrue(page.content_md)
praw-3.3.0/tests/test_config.py 0000666 0000000 0000000 00000002563 12566234244 015226 0 ustar root root """Tests for Config class."""
from __future__ import print_function, unicode_literals
import unittest
from praw import Config
from praw.errors import ClientException
try:
import ConfigParser as configparser
except ImportError:
import configparser # NOQA pylint: disable=F0401
class ConfigTest(unittest.TestCase):
def test_default_site(self):
config = Config('reddit')
self.assertEqual(0, config.log_requests)
self.assertEqual(2, config.api_request_delay)
self.assertEqual(None, config.user)
self.assertEqual(None, config.pswd)
def test_default_site__with_overrides(self):
config = Config('reddit', log_requests=15, api_request_delay=21)
self.assertEqual(15, config.log_requests)
self.assertEqual(21, config.api_request_delay)
def test_default_site__with_username_and_password(self):
config = Config('reddit', user='foo', pswd='bar')
self.assertEqual('foo', config.user)
self.assertEqual('bar', config.pswd)
def test_invalid_site(self):
self.assertRaises(configparser.NoSectionError, Config, 'invalid')
def test_local_site(self):
config = Config('local_example')
try:
config.short_domain
self.fail('Did not raise ClientException')
except ClientException:
pass
praw-3.3.0/tests/test_oauth2_reddit.py 0000666 0000000 0000000 00000024325 12603443222 016504 0 ustar root root """Tests for OAuth2Reddit class."""
from __future__ import print_function, unicode_literals
import sys
from praw import Reddit, errors
from praw.objects import Submission
from six import text_type
from .helper import PRAWTest, USER_AGENT, betamax
class FakeStdin:
""" A class for filling stdin prompts with a predetermined value. """
def __init__(self, value):
self.closed = False
self.value = value
def close(self):
self.closed = True
def readline(self):
return self.value
class OAuth2RedditTest(PRAWTest):
def setUp(self):
self.configure()
self.r = Reddit(USER_AGENT, site_name='reddit_oauth_test',
disable_update_check=True)
def test_authorize_url(self):
self.r.set_oauth_app_info(None, None, None)
self.assertRaises(errors.OAuthAppRequired, self.r.get_authorize_url,
'dummy_state')
self.r.set_oauth_app_info(self.r.config.client_id,
self.r.config.client_secret,
self.r.config.redirect_uri)
url, params = self.r.get_authorize_url('...').split('?', 1)
self.assertTrue('api/v1/authorize/' in url)
params = dict(x.split('=', 1) for x in params.split('&'))
expected = {'client_id': self.r.config.client_id,
'duration': 'temporary',
'redirect_uri': ('https%3A%2F%2F127.0.0.1%3A65010%2F'
'authorize_callback'),
'response_type': 'code', 'scope': 'identity',
'state': '...'}
self.assertEqual(expected, params)
# @betamax() is currently broken for this test because the cassettes
# are caching too aggressively and not performing a token refresh.
def test_auto_refresh_token(self):
self.r.refresh_access_information(self.refresh_token['identity'])
old_token = self.r.access_token
self.r.access_token += 'x' # break the token
self.r.user.refresh()
current_token = self.r.access_token
self.assertNotEqual(old_token, current_token)
self.r.user.refresh()
self.assertEqual(current_token, self.r.access_token)
@betamax()
def test_get_access_information(self):
# If this test fails, the following URL will need to be visted in order
# to obtain a new code to pass to `get_access_information`:
# self.r.get_authorize_url('...')
token = self.r.get_access_information('MQALrr1di8GzcnT8szbTWhLcBUQ')
expected = {'access_token': self.r.access_token,
'refresh_token': None,
'scope': set(('identity',))}
self.assertEqual(expected, token)
self.assertEqual('PyAPITestUser2', text_type(self.r.user))
@betamax()
def test_get_access_information_with_invalid_code(self):
self.assertRaises(errors.OAuthInvalidGrant,
self.r.get_access_information, 'invalid_code')
def test_invalid_app_access_token(self):
self.r.clear_authentication()
self.r.set_oauth_app_info(None, None, None)
self.assertRaises(errors.OAuthAppRequired,
self.r.get_access_information, 'dummy_code')
def test_invalid_app_authorize_url(self):
self.r.clear_authentication()
self.r.set_oauth_app_info(None, None, None)
self.assertRaises(errors.OAuthAppRequired,
self.r.get_authorize_url, 'dummy_state')
@betamax()
def test_invalid_set_access_credentials(self):
self.assertRaises(errors.OAuthInvalidToken,
self.r.set_access_credentials,
set(('identity',)), 'dummy_access_token')
def test_oauth_scope_required(self):
self.r.set_oauth_app_info('dummy_client', 'dummy_secret', 'dummy_url')
self.r.set_access_credentials(set('dummy_scope',), 'dummy_token')
self.assertRaises(errors.OAuthScopeRequired, self.r.get_me)
def test_raise_client_exception(self):
def raise_client_exception(*args):
raise errors.ClientException(*args)
self.assertRaises(errors.ClientException, raise_client_exception)
self.assertRaises(errors.ClientException, raise_client_exception,
'test')
ce_message = errors.ClientException('Test')
ce_no_message = errors.ClientException()
self.assertEqual(ce_message.message, str(ce_message))
self.assertEqual(ce_no_message.message, str(ce_no_message))
def test_raise_http_exception(self):
def raise_http_exception():
raise errors.HTTPException('fakeraw')
self.assertRaises(errors.HTTPException, raise_http_exception)
http_exception = errors.HTTPException('fakeraw')
self.assertEqual(http_exception.message, str(http_exception))
def test_raise_oauth_exception(self):
oerrormessage = "fakemessage"
oerrorurl = "http://oauth.reddit.com/"
def raise_oauth_exception():
raise errors.OAuthException(oerrormessage, oerrorurl)
self.assertRaises(errors.OAuthException, raise_oauth_exception)
oauth_exception = errors.OAuthException(oerrormessage, oerrorurl)
self.assertEqual(oauth_exception.message +
" on url {0}".format(oauth_exception.url),
str(oauth_exception))
def test_raise_redirect_exception(self):
apiurl = "http://api.reddit.com/"
oauthurl = "http://oauth.reddit.com/"
def raise_redirect_exception():
raise errors.RedirectException(apiurl, oauthurl)
self.assertRaises(errors.RedirectException, raise_redirect_exception)
redirect_exception = errors.RedirectException(apiurl, oauthurl)
self.assertEqual(redirect_exception.message, str(redirect_exception))
@betamax()
def test_scope_history(self):
self.r.refresh_access_information(self.refresh_token['history'])
self.assertTrue(list(self.r.get_redditor(self.un).get_upvoted()))
@betamax()
def test_scope_identity(self):
self.r.refresh_access_information(self.refresh_token['identity'])
self.assertEqual(self.un, self.r.get_me().name)
@betamax()
def test_scope_mysubreddits(self):
self.r.refresh_access_information(self.refresh_token['mysubreddits'])
self.assertTrue(list(self.r.get_my_moderation()))
@betamax()
def test_scope_creddits(self):
# Assume there are insufficient creddits.
self.r.refresh_access_information(
self.refresh_token['creddits'])
redditor = self.r.get_redditor('bboe')
sub = self.r.get_submission(url=self.comment_url)
# Test error conditions
self.assertRaises(TypeError, sub.gild, months=1)
for value in (False, 0, -1, '0', '-1'):
self.assertRaises(TypeError, redditor.gild, value)
# Test object gilding
self.assertRaises(errors.InsufficientCreddits, redditor.gild)
self.assertRaises(errors.InsufficientCreddits, sub.gild)
self.assertRaises(errors.InsufficientCreddits, sub.comments[0].gild)
@betamax()
def test_scope_privatemessages(self):
self.r.refresh_access_information(
self.refresh_token['privatemessages'])
self.assertTrue(list(self.r.get_inbox()))
@betamax()
def test_scope_read(self):
self.r.refresh_access_information(self.refresh_token['read'])
self.assertTrue(self.r.get_subreddit(self.priv_sr).subscribers > 0)
fullname = '{0}_{1}'.format(self.r.config.by_object[Submission],
self.priv_submission_id)
method1 = self.r.get_info(thing_id=fullname)
method2 = self.r.get_submission(submission_id=self.priv_submission_id)
self.assertEqual(method1, method2)
@betamax()
def test_scope_read_get_front_page(self):
self.r.refresh_access_information(self.refresh_token['mysubreddits'])
subscribed = list(self.r.get_my_subreddits(limit=None))
self.r.refresh_access_information(self.refresh_token['read'])
for post in self.r.get_front_page():
self.assertTrue(post.subreddit in subscribed)
@betamax()
def test_set_access_credentials(self):
self.assertTrue(self.r.user is None)
result = self.r.refresh_access_information(
self.refresh_token['identity'], update_session=False)
self.assertTrue(self.r.user is None)
self.r.set_access_credentials(**result)
self.assertFalse(self.r.user is None)
@betamax()
def test_set_access_credentials_with_list(self):
self.assertTrue(self.r.user is None)
result = self.r.refresh_access_information(
self.refresh_token['identity'], update_session=False)
self.assertTrue(self.r.user is None)
result['scope'] = list(result['scope'])
self.r.set_access_credentials(**result)
self.assertFalse(self.r.user is None)
@betamax()
def test_set_access_credentials_with_string(self):
self.assertTrue(self.r.user is None)
result = self.r.refresh_access_information(
self.refresh_token['identity'], update_session=False)
self.assertTrue(self.r.user is None)
result['scope'] = ' '.join(result['scope'])
self.r.set_access_credentials(**result)
self.assertFalse(self.r.user is None)
@betamax()
def test_solve_captcha(self):
# Use the alternate account because it has low karma,
# so we can test the captcha.
self.r.refresh_access_information(self.other_refresh_token['submit'])
original_stdin = sys.stdin
sys.stdin = FakeStdin('ljgtoo') # Comment this line when rebuilding
self.r.submit(self.sr, 'captcha test', 'body')
sys.stdin = original_stdin
@betamax()
def test_oauth_without_identy_doesnt_set_user(self):
self.assertTrue(self.r.user is None)
self.r.refresh_access_information(self.refresh_token['edit'])
self.assertTrue(self.r.user is None)
praw-3.3.0/tests/test_redditor.py 0000666 0000000 0000000 00000010457 12577530752 015603 0 ustar root root """Tests for Redditor class."""
from __future__ import print_function, unicode_literals
from praw import errors
from praw.objects import LoggedInRedditor
from six import text_type
from .helper import OAuthPRAWTest, PRAWTest, betamax
class RedditorTest(PRAWTest):
def betamax_init(self):
self.r.login(self.un, self.un_pswd, disable_warning=True)
self.other_user = self.r.get_redditor(self.other_user_name)
@betamax()
def test_add_remove_friends(self):
friends = self.r.get_friends()
redditor = friends[0] if friends else self.other_user
redditor.unfriend()
self.delay_for_listing_update()
self.assertTrue(redditor not in self.r.get_friends(u=1))
redditor.friend()
self.delay_for_listing_update()
self.assertTrue(redditor in self.r.get_friends(u=2))
@betamax()
def test_duplicate_login(self):
self.assertEqual(self.un, self.r.user.name)
self.r.login(self.other_user_name, self.other_user_pswd,
disable_warning=True)
self.assertEqual(self.other_user_name, self.r.user.name)
@betamax()
def test_get_hidden(self):
submission = next(self.r.user.get_hidden())
submission.hide()
self.delay_for_listing_update()
self.assertEqual(submission,
next(self.r.user.get_hidden(params={'u': 1})))
submission.unhide()
self.delay_for_listing_update()
self.assertNotEqual(submission,
next(self.r.user.get_hidden(params={'u': 2})))
@betamax()
def test_get_redditor(self):
self.assertEqual(self.other_user_id, self.other_user.id)
@betamax()
def test_get_submitted(self):
redditor = self.r.get_redditor(self.other_non_mod_name)
self.assertTrue(list(redditor.get_submitted()))
@betamax()
def test_get_upvoted_and_downvoted(self):
user = self.r.user
sub = self.r.submit(self.sr, 'Sub Title', 'Sub Body')
self.delay_for_listing_update()
self.assertEqual(sub, next(user.get_upvoted()))
sub.downvote()
self.delay_for_listing_update()
self.assertEqual(sub, next(user.get_downvoted()))
self.assertNotEqual(sub, next(user.get_upvoted(params={'u': 1})))
sub.upvote()
self.delay_for_listing_update()
self.assertEqual(sub, next(user.get_upvoted(params={'u': 2})))
self.assertNotEqual(sub, next(user.get_downvoted(params={'u': 2})))
@betamax()
def test_name_lazy_update(self):
augmented_name = self.other_non_mod_name.upper()
redditor = self.r.get_redditor(augmented_name)
self.assertEqual(augmented_name, text_type(redditor))
redditor.created_utc # induce a lazy load
self.assertEqual(augmented_name, redditor.name)
redditor.refresh()
self.assertEqual(self.other_non_mod_name, redditor.name)
@betamax()
def test_redditor_comparison(self):
a1 = next(self.r.get_new()).author
a2 = self.r.get_redditor(text_type(a1))
self.assertEqual(a1, a2)
s1 = next(a1.get_submitted())
s2 = next(a2.get_submitted())
self.assertEqual(s1, s2)
@betamax()
def test_user_set_on_login(self):
self.assertTrue(isinstance(self.r.user, LoggedInRedditor))
class OAuthRedditorTest(OAuthPRAWTest):
@betamax()
def test_friends_oauth(self):
self.r.refresh_access_information(self.refresh_token['subscribe'])
user = self.r.get_redditor(self.other_user_name)
# Only Gold users can include personal notes
self.assertRaises(errors.HTTPException, user.friend, 'note')
friendship = user.friend()
self.assertEqual(friendship['id'], user.fullname)
self.r.refresh_access_information(self.refresh_token['mysubreddits'])
friendship2 = user.get_friend_info()
self.assertEqual(friendship, friendship2)
self.r.refresh_access_information(self.refresh_token['read'])
friends = list(self.r.get_friends())
self.assertTrue(user in friends)
self.r.refresh_access_information(self.refresh_token['subscribe'])
user.unfriend()
self.assertFalse(user.refresh().is_friend)
praw-3.3.0/docs/ 0000755 0000000 0000000 00000000000 12606362001 012110 5 ustar root root praw-3.3.0/docs/index.rst 0000666 0000000 0000000 00000015064 12546361470 013777 0 ustar root root .. _main_page:
PRAW: The Python Reddit Api Wrapper
===================================
.. include:: ../README.rst
:start-after: begin_description
:end-before: end_description
Content Pages
-------------
.. toctree::
:maxdepth: 1
pages/getting_started
pages/writing_a_bot
pages/comment_parsing
pages/oauth
pages/lazy-loading
pages/multiprocess
pages/contributor_guidelines
pages/configuration_files
pages/faq
pages/changelog
pages/code_overview
pages/useful_scripts
pages/exceptions
References And Other Relevant Pages
-----------------------------------
* `PRAW's Source Code `_
* `reddit's Source Code `_
* `reddit's API Wiki Page `_
* `reddit's API Documentation `_
* `reddit Markdown Primer
`_
* `reddit.com's FAQ `_
* `reddit.com's Status Twitterbot `_.
Tweets when reddit goes up or down
* `r/changelog `_. Significant changes to
reddit's codebase will be announced here in non-developer speak
* `r/redditdev `_. Ask questions about
reddit's codebase, PRAW and other API clients here
.. include:: ../README.rst
:start-after: begin_installation
:end-before: end_installation
.. include:: ../README.rst
:start-after: begin_support
:end-before: end_support
.. include:: ../README.rst
:start-after: begin_license
:end-before: end_license
A Few Short Examples
--------------------
Note: These example are intended to be completed in order. While you are free
to skip down to what you want to accomplish, please check the previous examples
for any ``NameErrors`` you might encounter.
1. Import the package
>>> import praw
#. Create the Reddit object (requires a user-agent):
>>> r = praw.Reddit(user_agent='Test Script by /u/bboe')
#. Logging in:
>>> r.login('username', 'password')
#. Send a message (requires login):
>>> r.send_message('user', 'Subject Line', 'You are awesome!')
#. Mark all unread messages as read (requires login):
>>> for msg in r.get_unread(limit=None):
... msg.mark_as_read()
#. Get the top submissions for /r/python:
>>> submissions = r.get_subreddit('python').get_top(limit=10)
#. Get comments from a given submission:
>>> submission = next(submissions)
>>> submission.comments
#. Comment on a submission (requires login):
>>> submission.add_comment('text')
#. Reply to a comment (requires login):
>>> comment = submission.comments[0]
>>> comment.reply('test')
#. Voting (requires login):
>>> # item can be a comment or submission
>>> item.upvote()
>>> item.downvote()
>>> item.clear_vote()
#. Deleting (requires login):
>>> # item can be a comment or submission
>>> item.delete()
#. Saving a submission (requires login):
>>> submission.save()
>>> submission.unsave()
#. Create a SELF submission (requires login):
>>> r.submit('reddit_api_test', 'submission title', text='body')
#. Create a URL submission (requires login):
>>> r.submit('reddit_api_test', 'Google!', url='http://google.com')
#. Get user karma:
>>> user = r.get_redditor('ketralnis')
>>> user.link_karma
>>> user.comment_karma
#. Get saved links (requires login):
>>> r.user.get_saved()
#. Get content newer than a comment or submission's id:
>>> r.get_subreddit('python').get_top(limit=None,
place_holder=submission.id)
#. (Un)subscribe to a subreddit (requires login):
>>> r.get_subreddit('python').subscribe()
>>> r.get_subreddit('python').unsubscribe()
#. (Un)friend a user:
>>> r.get_redditor('ketralnis').friend()
>>> r.get_redditor('ketralnis').unfriend()
#. Create a subreddit:
>>> r.create_subreddit(short_title='MyIncredibleSubreddit',
... full_title='my Incredibly Cool Subreddit',
... description='It is incredible!')
#. Get flair mappings for a particular subreddit (requires mod privileges):
>>> item = next(r.get_subreddit('python').get_flair_list())
>>> item['user']
>>> item['flair_text']
>>> item['flair_css_class']
#. Set / update user flair (requires mod privileges):
>>> r.get_subreddit('python').set_flair('user', 'text flair', 'css-class')
#. Clear user flair (requires mod privileges):
>>> r.get_subreddit('python').set_flair('user')
#. Bulk set user flair (requires mod privileges):
>>> flair_mapping = [{'user':'user', 'flair_text':'dev'},
... {'user':'pyapitestuser3', 'flair_css_class':'css2'},
... {'user':'pyapitestuser2', 'flair_text':'AWESOME',
... 'flair_css_class':'css'}]
>>> r.get_subreddit('python').set_flair_csv(flair_mapping)
#. Add flair templates (requires mod privileges):
>>> r.get_subreddit('python').add_flair_template(text='editable',
... css_class='foo',
... text_editable=True)
#. Clear flair templates (requires mod privileges):
>>> r.get_subreddit('python').clear_flair_templates()
Useful Scripts
==============
`AutoModerator`_ by `Deimos `_
A bot for automating straightforward reddit moderation tasks and improving
upon the existing spam-filter.
`ClockStalker `_
Examines a redditor's posting history and creates `a comment with a nice
activity overview
`_. ClockStalker uses an older
version of PRAW, the ``reddit``, module. It should, but may not, work with
the latest version of PRAW.
`DailyProgBot `_
A simple challenge-queue submission bot for r/DailyProgrammer. Users submit
challenges through a Google Documents form, then the bot crawls said form,
posting the appropriate challenge on the appropriate day of the week.
.. _`AutoModerator`: https://github.com/Deimos/AutoModerator
praw-3.3.0/docs/Makefile 0000666 0000000 0000000 00000013225 12546361470 013573 0 ustar root root # Makefile for Sphinx documentation
#
# You can set these variables from the command line.
SPHINXOPTS =
SPHINXBUILD = sphinx-build
PAPER =
BUILDDIR = _build
# Internal variables.
PAPEROPT_a4 = -D latex_paper_size=a4
PAPEROPT_letter = -D latex_paper_size=letter
ALLSPHINXOPTS = -d $(BUILDDIR)/doctrees $(PAPEROPT_$(PAPER)) $(SPHINXOPTS) .
# the i18n builder cannot share the environment and doctrees with the others
I18NSPHINXOPTS = $(PAPEROPT_$(PAPER)) $(SPHINXOPTS) .
.PHONY: help clean html dirhtml singlehtml pickle json htmlhelp qthelp devhelp epub latex latexpdf text man changes linkcheck doctest gettext
help:
@echo "Please use \`make ' where is one of"
@echo " html to make standalone HTML files"
@echo " dirhtml to make HTML files named index.html in directories"
@echo " singlehtml to make a single large HTML file"
@echo " pickle to make pickle files"
@echo " json to make JSON files"
@echo " htmlhelp to make HTML files and a HTML help project"
@echo " qthelp to make HTML files and a qthelp project"
@echo " devhelp to make HTML files and a Devhelp project"
@echo " epub to make an epub"
@echo " latex to make LaTeX files, you can set PAPER=a4 or PAPER=letter"
@echo " latexpdf to make LaTeX files and run them through pdflatex"
@echo " text to make text files"
@echo " man to make manual pages"
@echo " texinfo to make Texinfo files"
@echo " info to make Texinfo files and run them through makeinfo"
@echo " gettext to make PO message catalogs"
@echo " changes to make an overview of all changed/added/deprecated items"
@echo " linkcheck to check all external links for integrity"
@echo " doctest to run all doctests embedded in the documentation (if enabled)"
clean:
-rm -rf $(BUILDDIR)/*
html:
$(SPHINXBUILD) -b html $(ALLSPHINXOPTS) $(BUILDDIR)/html
@echo
@echo "Build finished. The HTML pages are in $(BUILDDIR)/html."
dirhtml:
$(SPHINXBUILD) -b dirhtml $(ALLSPHINXOPTS) $(BUILDDIR)/dirhtml
@echo
@echo "Build finished. The HTML pages are in $(BUILDDIR)/dirhtml."
singlehtml:
$(SPHINXBUILD) -b singlehtml $(ALLSPHINXOPTS) $(BUILDDIR)/singlehtml
@echo
@echo "Build finished. The HTML page is in $(BUILDDIR)/singlehtml."
pickle:
$(SPHINXBUILD) -b pickle $(ALLSPHINXOPTS) $(BUILDDIR)/pickle
@echo
@echo "Build finished; now you can process the pickle files."
json:
$(SPHINXBUILD) -b json $(ALLSPHINXOPTS) $(BUILDDIR)/json
@echo
@echo "Build finished; now you can process the JSON files."
htmlhelp:
$(SPHINXBUILD) -b htmlhelp $(ALLSPHINXOPTS) $(BUILDDIR)/htmlhelp
@echo
@echo "Build finished; now you can run HTML Help Workshop with the" \
".hhp project file in $(BUILDDIR)/htmlhelp."
qthelp:
$(SPHINXBUILD) -b qthelp $(ALLSPHINXOPTS) $(BUILDDIR)/qthelp
@echo
@echo "Build finished; now you can run "qcollectiongenerator" with the" \
".qhcp project file in $(BUILDDIR)/qthelp, like this:"
@echo "# qcollectiongenerator $(BUILDDIR)/qthelp/PythonRedditAPIWrapper.qhcp"
@echo "To view the help file:"
@echo "# assistant -collectionFile $(BUILDDIR)/qthelp/PythonRedditAPIWrapper.qhc"
devhelp:
$(SPHINXBUILD) -b devhelp $(ALLSPHINXOPTS) $(BUILDDIR)/devhelp
@echo
@echo "Build finished."
@echo "To view the help file:"
@echo "# mkdir -p $$HOME/.local/share/devhelp/PythonRedditAPIWrapper"
@echo "# ln -s $(BUILDDIR)/devhelp $$HOME/.local/share/devhelp/PythonRedditAPIWrapper"
@echo "# devhelp"
epub:
$(SPHINXBUILD) -b epub $(ALLSPHINXOPTS) $(BUILDDIR)/epub
@echo
@echo "Build finished. The epub file is in $(BUILDDIR)/epub."
latex:
$(SPHINXBUILD) -b latex $(ALLSPHINXOPTS) $(BUILDDIR)/latex
@echo
@echo "Build finished; the LaTeX files are in $(BUILDDIR)/latex."
@echo "Run \`make' in that directory to run these through (pdf)latex" \
"(use \`make latexpdf' here to do that automatically)."
latexpdf:
$(SPHINXBUILD) -b latex $(ALLSPHINXOPTS) $(BUILDDIR)/latex
@echo "Running LaTeX files through pdflatex..."
$(MAKE) -C $(BUILDDIR)/latex all-pdf
@echo "pdflatex finished; the PDF files are in $(BUILDDIR)/latex."
text:
$(SPHINXBUILD) -b text $(ALLSPHINXOPTS) $(BUILDDIR)/text
@echo
@echo "Build finished. The text files are in $(BUILDDIR)/text."
man:
$(SPHINXBUILD) -b man $(ALLSPHINXOPTS) $(BUILDDIR)/man
@echo
@echo "Build finished. The manual pages are in $(BUILDDIR)/man."
texinfo:
$(SPHINXBUILD) -b texinfo $(ALLSPHINXOPTS) $(BUILDDIR)/texinfo
@echo
@echo "Build finished. The Texinfo files are in $(BUILDDIR)/texinfo."
@echo "Run \`make' in that directory to run these through makeinfo" \
"(use \`make info' here to do that automatically)."
info:
$(SPHINXBUILD) -b texinfo $(ALLSPHINXOPTS) $(BUILDDIR)/texinfo
@echo "Running Texinfo files through makeinfo..."
make -C $(BUILDDIR)/texinfo info
@echo "makeinfo finished; the Info files are in $(BUILDDIR)/texinfo."
gettext:
$(SPHINXBUILD) -b gettext $(I18NSPHINXOPTS) $(BUILDDIR)/locale
@echo
@echo "Build finished. The message catalogs are in $(BUILDDIR)/locale."
changes:
$(SPHINXBUILD) -b changes $(ALLSPHINXOPTS) $(BUILDDIR)/changes
@echo
@echo "The overview file is in $(BUILDDIR)/changes."
linkcheck:
$(SPHINXBUILD) -b linkcheck $(ALLSPHINXOPTS) $(BUILDDIR)/linkcheck
@echo
@echo "Link check complete; look for any errors in the above output " \
"or in $(BUILDDIR)/linkcheck/output.txt."
doctest:
$(SPHINXBUILD) -b doctest $(ALLSPHINXOPTS) $(BUILDDIR)/doctest
@echo "Testing of doctests in the sources finished, look at the " \
"results in $(BUILDDIR)/doctest/output.txt."
praw-3.3.0/docs/pages/ 0000755 0000000 0000000 00000000000 12606362001 013207 5 ustar root root praw-3.3.0/docs/pages/configuration_files.rst 0000666 0000000 0000000 00000022751 12577530752 020026 0 ustar root root .. _configuration_files:
The Configuration Files
=======================
PRAW can be configured on the global, user, local and ``Reddit`` instance
levels. This allows for easy custom configuration to fit your needs.
To build the configuration settings, first the global configuration file is
loaded. It contains the default settings for all PRAW applications and should
never be modified. Then PRAW opens the user level configuration file (if it
exists) and any settings here will take precedence over those in the global
configuration file. Then PRAW opens the local level configuration file (if it
exists) and any settings here will take precedence over those previously
defined. Finally you can set configuration settings by giving them as
additional arguments when instantiating the ``Reddit`` object. Settings given
this way will take precedence over those previously defined.
.. code-block:: python
import praw
user_agent = ("Configuration setting example by /u/_Daimon_. See "
"https://praw.readthedocs.org/en/latest/pages/configuration_files.html")
r = praw.Reddit(user_agent=user_agent, log_requests=1)
Config File Locations
---------------------
The configuration on all levels is stored in a file called ``praw.ini``.
The *global* configuration file is located in the **praw** package location.
This file provides the system wide default and should never be modified.
The *user* configuration file location depends on your operating system.
Assuming typical operating system installations and the username *foobar* the
path for specific operating systems should be:
* **WINDOWS XP:** C:\\Documents and Settings\\foobar\\Application
Data\\praw.ini
* **WINDOWS Vista/7:** C:\\Users\\foobar\\AppData\\Roaming\\praw.ini
* **OS with XDG_CONFIG_HOME defined:** $XDG_CONFIG_HOME/praw.ini
* **OS X** / **Linux:** /home/foobar/.config/praw.ini
The *local* configuration file is located in the current working directory.
This location works best if you want script-specific configuration files.
Configuration Variables
-----------------------
The following variables are provided in the [DEFAULT] section of the *global*
config file. Each site can overwrite any of these variables.
* *api_request_delay:* A **float** that defines the number of seconds required
between calls to the same domain.
* *api_domain:* A **string** that defines the *domain* to use for all
standard API requests.
* *check_for_updates:* A **boolean** to indicate whether or not to check for
package updates.
* *cache_timeout:* An **integer** that defines the number of seconds to
internally cache GET/POST requests based on URL.
* *http_proxy:* A **string** that declares a http proxy to be used. It follows
the `requests proxy conventions
`_, e.g.,
``http_proxy: http://user:pass@addr:port``. If no proxy is specified, PRAW
will pick up the environment variable for http_proxy, if it has been set.
* *https_proxy:* A **string** that declares a https proxy to be used. It follows
the `requests proxy conventions
`_, e.g.,
``https_proxy: http://user:pass@addr:port``. If no proxy is specified, PRAW
will pick up the environment variable for https_proxy, if it has been set.
* *log_requests:* An **integer** that determines the level of API call logging.
* **0:** no logging
* **1:** log only the request URIs
* **2:** log the request URIs as well as any POST data
* *oauth_domain:* A **string** that defines the *domain* where OAuth
authenticated requests are sent.
* *oauth_https:* A **boolean** that determines whether or not to use HTTPS for
oauth connections. This should only be changed for development environments.
* *output_chars_limit:* An **integer** that defines the maximum length of
unicode representations of :class:`.Comment`, :class:`.Message` and
:class:`.Submission` objects. This is mainly used to fit them within a
terminal window line. A negative value means no limit.
* *permalink_domain:* A **string** that defines the *domain* that is used for
the display *permalink* for Submissions and Comments.
* *short_domain:* A **string** that defines the *domain* that is used for
short urls.
* *store_json_result:* A **boolean** to indicate if json_dict, which contains
the original API response, should be stored on every object in the json_dict
attribute. Default is ``False`` as memory usage will double if enabled. For
lazy objects, json_dict will be ``None`` until the data has been fetched.
* *timeout:* Maximum time, a **float**, in seconds, before a single HTTP request
times out. urllib2.URLError is raised upon timeout.
* *validate_certs:* A **boolean** to indicate if SSL certificates should be
validated or not. If not specified, will default to ``True``. This is
mainly for testing local reddit installations with self-signed certificates.
* *xxx_kind:* A **string** that maps the *type* returned by json results to a
local object. **xxx** is one of: *comment*, *message*, *more*, *redditor*,
*submission*, *subreddit*, *userlist*. This variable is needed as the
object-to-kind mapping is created dynamically on site creation and thus isn't
consistent across sites.
The are additional variables that each site can define. These additional
variables are:
* *domain:* (**REQUIRED**) A **string** that provides the domain name, and
optionally port, used to connect to the desired reddit site. For reddit
proper, this is: `www.reddit.com`. Note that if you are running a custom
reddit install, this name needs to match the domain name listed in the
reddit configuration ini.
* *user:* A **string** that defines the default username to use when *login*
is called without a *user* parameter.
* *pswd:* A **string** that defines the password to use in conjunction with
the provided *user*.
* *ssl_domain:* A **string** that defines the *domain* where encrypted
requests are sent. This is used for logging in, both OAuth and user/password.
When not provided, these requests are sent in plaintext (unencrypted).
* *oauth_client_id:* A **string** that, if given, defines the ``client_id`` a
reddit object is initialized with.
* *oauth_client_secret:* A **string** that, if given, defines the
``client_secret`` a reddit object is initialized with.
* *oauth_redirect_uri:* A **string** that, if given, defines the
``redirect_uri`` a reddit object is initialized with. If *oauth_client_id*
and *oauth_client_secret* is also given, then :meth:`.get_authorize_url` can
be run without first setting the oauth settings with running
:meth:`.set_oauth_app_info`.
* *oauth_refresh_token:* A **string** that, if given, defines the
``refresh_token`` a reddit object is initialized with. If *oauth_client_id*,
*oauth_client_secret*, and *oauth_redirect_uri* are also given, then
:meth:`~praw.__init__.AuthenticatedReddit.refresh_access_information` can be
run with no arguments to acquire new access information without first running
:meth:`.get_authorize_url` and
:meth:`~praw.__init__.AuthenticatedReddit.get_access_information`.
Note: The tracking for *api_request_delay* and *cache_timeout* is on a
per-domain, not per-site, basis. Essentially, this means that the time since
the last request is the time since the last request from any site to the domain
in question. Thus, unexpected event timings may occur if these values differ
between sites to the same domain.
The Sites
^^^^^^^^^
The default provided sites are:
* *reddit:* This site defines the settings for reddit proper. It is used by
default if the *site* parameter is not defined when creating the *Reddit*
object.
* *local:* This site defines settings for a locally running instance of reddit.
The *xxx_kind* mappings may differ so you may need to shadow (overwrite) the
'local' site in your *user*-level or *local*-level ``praw.ini`` file.
Additional sites can be added to represent other instances of reddit or simply
provide an additional set of credentials for easy access to that account. This
is done by adding ``[YOUR_SITE]`` to the ``praw.ini`` file and then calling it
in :class:`praw.Reddit`. For example, you could add the following to your
``praw.ini`` file:
.. code-block:: text
[YOUR_SITE]
domain: www.myredditsite.com
ssl_domain: ssl.myredditsite.com
user: bboe
pswd: this_isn't_my_password
api_request_delay: 7.0
From there, to specify the reddit instance of "YOUR_SITE", you would do something
like this:
.. code-block:: python
import praw
r = praw.Reddit(user_agent='Custom Site Example for PRAW',
site_name='YOUR_SITE')
Of course, you can use any of the above Configuration Variables as well.
Example praw.ini file
^^^^^^^^^^^^^^^^^^^^^
The following is an example ``praw.ini`` file which has 4 sites defined: 2 for
a reddit proper accounts and 2 for local reddit testing.
.. code-block:: text
[bboe]
domain: www.reddit.com
ssl_domain: ssl.reddit.com
user: bboe
pswd: this_isn't_my_password
[reddit_dev]
domain: www.reddit.com
ssl_domain: ssl.reddit.com
user: someuser
pswd: somepass
[local_dev1]
domain: reddit.local:8000
user: someuser
pswd: somepass
[local_wacky_dev]
domain: reddit.local:8000
user: someuser
pswd: somepass
api_request_delay: 5.0
default_content_limit: 2
praw-3.3.0/docs/pages/comment_parsing.rst 0000666 0000000 0000000 00000014117 12577530752 017157 0 ustar root root .. _comment_parsing:
Comment Parsing
===============
A common task for many bots and scripts is to parse a submission´s comments. In
this tutorial we will go over how to do that as well as talking about comments
in general. To illustrate the problems, we'll write a small script that replies
to any comment that contains the text "Hello". Our reply will contain the text
" world!".
Submission Comments
-------------------
As usual, we start by importing PRAW and initializing our contact with
reddit.com. We also get a :class:`.Submission` object, where our script will
do its work.
>>> import praw
>>> r = praw.Reddit('Comment Scraper 1.0 by u/_Daimon_ see '
... 'https://praw.readthedocs.org/en/latest/'
... 'pages/comment_parsing.html')
>>> submission = r.get_submission(submission_id='11v36o')
After getting the :class:`.Submission` object we retrieve the comments and
look through them to find those that match our criteria. Comments are stored in
the attribute :attr:`.comments` in a comment forest, with each tree root a
toplevel comment. E.g., the comments are organized just like when you visit the
submission via the website. To get to a lower layer, use :attr:`.replies` to
get the list of replies to the comment. Note that this may include
:class:`.MoreComments` objects and not just :class:`.Comment`.
>>> forest_comments = submission.comments
As an alternative, we can flatten the comment forest to get a unordered list
with the function :func:`praw.helpers.flatten_tree`. This is the easiest way to
iterate through the comments and is preferable when you don't care about
a comment's place in the comment forest. We don't, so this is what we are going
to use.
>>> flat_comments = praw.helpers.flatten_tree(submission.comments)
To find out whether any of those comments contains the text we are looking for,
we simply iterate through the comments.
>>> for comment in flat_comments:
... if comment.body == "Hello":
... reply_world(comment)
Our program is going to make comments to a submission. If it has bugs, then it
might flood a submission with replies or post gibberish. This is bad. So we
test the bot in `r/test `_ before we let it loose
on a "real" subreddit. As it happens, our bot as described so far contains a
bug. It doesn't test if we've already replied to a comment before replying. We
fix this bug by storing the content_id of every comment we've replied to and
test for membership of that list before replying. Just like in
:ref:`writing_a_bot`.
The number of comments
----------------------
When we load a submission, the comments for the submission are also loaded, up
to a maximum, just like on the website. At reddit.com, this max is 200
comments. If we want more than the maximum number of comments, then we need
to replace the :class:`.MoreComments` with the :class:`.Comment`\s they represent.
We use the :meth:`.replace_more_comments` method to do this. Let's use this
function to replace all :class:`.MoreComments` with the :class:`.Comment`\s they
represent, so we get all comments in the thread.
>>> submission.replace_more_comments(limit=None, threshold=0)
>>> all_comments = submission.comments
The number of :class:`.MoreComments` PRAW can replace with a single API
call is limited. Replacing all :class:`.MoreComments` in a thread with many
comments will require many API calls and so take a while due to API delay between
each API call as specified in the
`api guidelines `_.
Getting all recent comments to a subreddit or everywhere
--------------------------------------------------------
We can get comments made to all subreddits by using
:meth:`~praw.__init__.UnauthenticatedReddit.get_comments` and setting the
subreddit argument to the value "all".
>>> import praw
>>> r = praw.Reddit('Comment parser example by u/_Daimon_')
>>> all_comments = r.get_comments('all')
The results are equivalent to `/r/all/comments
`_.
We can also choose to only get the comments from a specific subreddit. This is
much simpler than getting all comments made to a reddit and filtering them. It
also reduces the load on the reddit.
>>> subreddit = r.get_subreddit('python')
>>> subreddit_comments = subreddit.get_comments()
The results are equivalent to
`r/python/comments `_.
You can use multi-reddits to get the comments from multiple subreddits.
>>> multi_reddits = r.get_subreddit('python+learnpython')
>>> multi_reddits_comments = multi_reddits.get_comments()
Which is equivalent to `r/python+learnpython/comments
`_.
The full program
----------------
.. code-block:: python
import praw
r = praw.Reddit('Comment Scraper 1.0 by u/_Daimon_ see '
'https://praw.readthedocs.org/en/latest/'
'pages/comment_parsing.html')
r.login('bot_username', 'bot_password')
submission = r.get_submission(submission_id='11v36o')
flat_comments = praw.helpers.flatten_tree(submission.comments)
already_done = set()
for comment in flat_comments:
if comment.body == "Hello" and comment.id not in already_done:
comment.reply(' world!')
already_done.add(comment.id)
[deleted] comments
------------------
When a comment is deleted, in most cases, that comment will not be viewable with a
browser nor the API. However, if a comment is made, and then a reply to that comment
is made, and *then* the original comment is deleted, that comment will have its
``body`` and ``author`` attributes be ``NoneType`` via the API. The same goes with
removed comments, unless the authenticated account is a mod of the subreddit whose
comments you are getting. If you are a mod, and said comments are removed comments,
they are left intact.
If a comment is made and then the account that left that comment is deleted, the
comment body is left intact, while the ``author`` attribute becomes ``NoneType``. praw-3.3.0/docs/pages/changelog.rst 0000666 0000000 0000000 00000000354 12546361470 015712 0 ustar root root .. _changelog:
.. include:: ../../CHANGES.rst
:start-after: begin_changelog_intro
:end-before: end_changelog_intro
.. include:: ../../CHANGES.rst
:start-after: begin_changelog_body
:end-before: end_changelog_body
praw-3.3.0/docs/pages/code_overview.rst 0000666 0000000 0000000 00000002347 12551111226 016613 0 ustar root root .. _overview:
Code Overview
=============
Here you will find an overview of PRAW's objects and methods, but not the
objects attributes which are generated dynamically from reddit's responses and
are thus impossible to accurately describe statically. In :ref:`writing_a_bot`
there is a longer discussion of how to introspect PRAW, which you can use in
conjunction with this nice visual overview.
:mod:`praw` Package
-------------------
.. automodule:: praw.__init__
:members:
:undoc-members:
:show-inheritance:
:mod:`objects` Module
---------------------
.. automodule:: praw.objects
:members:
:undoc-members:
:show-inheritance:
:mod:`helpers` Module
---------------------
.. automodule:: praw.helpers
:members:
:undoc-members:
:show-inheritance:
:mod:`errors` Module
--------------------
.. automodule:: praw.errors
:members:
:undoc-members:
:show-inheritance:
:mod:`handlers` Module
----------------------
.. automodule:: praw.handlers
:members:
:undoc-members:
:show-inheritance:
:mod:`decorators` Module
------------------------
.. automodule:: praw.decorators
:members:
:undoc-members:
:show-inheritance:
praw-3.3.0/docs/pages/oauth.rst 0000666 0000000 0000000 00000065001 12603443162 015074 0 ustar root root .. _oauth:
PRAW and OAuth
==============
OAuth support allows you to use reddit to authenticate on non-reddit websites.
It also allows a user to authorize an application to perform different groups
of actions on reddit with his account. A moderator can grant an application the
right to set flair on his subreddits without simultaneously granting the
application the right to submit content, vote, remove content or ban people.
Before the moderator would have to grant the application total access, either
by giving it the password or by modding an account controlled by the
applications.
**Note:** Support for OAuth is added in version 2.0. This will not work with
any previous edition.
A step by step OAuth guide
--------------------------
PRAW simplifies the process of using OAuth greatly. The following is a
step-by-step OAuth guide via the interpreter. For real applications you'll
need a webserver, but for educational purposes doing it via the interpreter is
superior. In the next section there is an :ref:`oauth_webserver`.
Step 1: Create an application.
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
Go to `reddit.com's app page `_, click on
the "are you a developer? create an app" button. Fill out the name, description
and about url. Name must be filled out, but the rest doesn't. Write whatever
you please. For redirect uri set it to
``http://127.0.0.1:65010/authorize_callback``. All four variables can be
changed later. Click create app and you should something like the following.
.. image:: ../_static/CreateApp.png
The random string of letters under your app's name is its ``client id``. The
random string of letters next to secret are your ``client_secret`` and should
not be shared with anybody. At the bottom is the ``redirect_uri``.
Step 2: Setting up PRAW.
^^^^^^^^^^^^^^^^^^^^^^^^
.. WARNING:: This example, like most of the PRAW examples, binds an instance of
PRAW to the ``r`` variable. While we've made no distinction before, ``r`` (or
any instance of PRAW) should not be bound to a global variable due to the
fact that a single instance of PRAW cannot concurrently manage multiple
distinct user-sessions.
If you want to persist instances of PRAW across multiple requests in a web
application, we recommend that you create an new instance per distinct
authentication. Furthermore, if your web application spawns multiple
processes, it is highly recommended that you utilize PRAW's
:ref:`multiprocess ` functionality.
We start as usual by importing the PRAW package and creating a :class:`.Reddit`
object with a clear and descriptive useragent that follows the `api rules
`_.
.. code-block:: pycon
>>> import praw
>>> r = praw.Reddit('OAuth testing example by u/_Daimon_ ver 0.1 see '
... 'https://praw.readthedocs.org/en/latest/'
... 'pages/oauth.html for source')
Next we set the app info to match what we got in step 1.
.. code-block:: pycon
>>> r.set_oauth_app_info(client_id='stJlUSUbPQe5lQ',
... client_secret='DoNotSHAREWithANYBODY',
... redirect_uri='http://127.0.0.1:65010/'
... 'authorize_callback')
The OAuth app info can be automatically set, check out
:ref:`configuration_files` to see how.
Step 3: Getting authorization from the user.
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
Now we need to have a user grant us authorization. We do this by sending them
to a url, where the access we wish to be granted is listed, then they click
'allow' and are redirected to ``redirect_uri`` with a code in the url
parameters that is needed for step 4.
The url we send them to is generated using :meth:`.get_authorize_url`. This
takes 3 parameters. ``state``, which is a string of your choice that represents this
client, ``scope`` which are the reddit scope(s) we ask permission for (see
:ref:`oauth_scopes`) and finally ``refreshable`` which determines whether we
can refresh the access_token (step 6) thus gaining permanent access.
For this tutorial we will need access to the identity scope and be refreshable.
.. code-block:: pycon
>>> url = r.get_authorize_url('uniqueKey', 'identity', True)
>>> import webbrowser
>>> webbrowser.open(url)
>>> # click allow on the displayed web page
Step 4: Exchanging the code for an access_token and a refresh_token.
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
After completing step 3, you're redirected to the ``redirect_uri``. Since we
don't have a webserver running there at the moment, we'll see something like
this. Notice the code in the url.
.. image:: ../_static/CodeUrl.png
Now we simply exchange the code for the access information.
.. code-block:: pycon
>>> access_information = r.get_access_information('8aunZCxfv8mcCf'
... 'D8no4CSlO55u0')
This will overwrite any existing authentication and make subsequent requests to
reddit using this authentication unless we set the argument ``update_session``
to ``False``.
:meth:`~.OAuth2Reddit.get_access_information` returns a dict with the
``scope``, ``access_token`` and ``refresh_token`` of the authenticated user. So
later we can swap from one authenticated user to another with
.. code-block:: pycon
>>> r.set_access_credentials(**access_information)
If ``scope`` contains ``identity`` then ``r.user`` will be set to the
OAuthenticated user with ``r.get_access_information`` or
:meth:`.set_access_credentials` unless we've set the ``update_user`` argument
to ``False``.
Step 5: Use the access.
^^^^^^^^^^^^^^^^^^^^^^^
Now that we've gained access, it's time to use it.
.. code-block:: pycon
>>> authenticated_user = r.get_me()
>>> print authenticated_user.name, authenticated_user.link_karma
Step 6: Refreshing the access_token.
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
An access token lasts for 60 minutes. To get access after that period, we'll
need to refresh the access token.
.. code-block:: pycon
>>> r.refresh_access_information(access_information['refresh_token'])
This returns a dict, where the ``access_token`` key has had its value updated.
Neither ``scope`` nor ``refresh_token`` will have changed.
Note: In version 3.2.0 and higher, PRAW will automatically attempt to refresh
the access token if a refresh token is available when it expires. For most
personal-use scripts, this eliminates the need to use
:meth:`.refresh_access_information` except when signing in.
.. _oauth_webserver:
An example webserver
--------------------
To run the example webserver, first install flask.
.. code-block:: bash
$ pip install flask
Then save the code below into a file called example_webserver.py, set the
``CLIENT_ID`` & ``CLIENT_SECRET`` to the correct values and run the program.
Now you have a webserver running on ``http://127.0.0.1:65010`` Go there and
click on one of the links. You'll be asked to authorize your own application,
click allow. Now you'll be redirected back and your user details will be
written to the screen.
.. code-block:: python
# example_webserver.py #
########################
from flask import Flask, request
import praw
app = Flask(__name__)
CLIENT_ID = 'YOUR_CLIENT_ID'
CLIENT_SECRET = 'YOUR CLIENT SECRET'
REDIRECT_URI = 'http://127.0.0.1:65010/authorize_callback'
@app.route('/')
def homepage():
link_no_refresh = r.get_authorize_url('UniqueKey')
link_refresh = r.get_authorize_url('DifferentUniqueKey',
refreshable=True)
link_no_refresh = "link" % link_no_refresh
link_refresh = "link" % link_refresh
text = "First link. Not refreshable %s" % link_no_refresh
text += "Second link. Refreshable %s" % link_refresh
return text
@app.route('/authorize_callback')
def authorized():
state = request.args.get('state', '')
code = request.args.get('code', '')
info = r.get_access_information(code)
user = r.get_me()
variables_text = "State=%s, code=%s, info=%s." % (state, code,
str(info))
text = 'You are %s and have %u link karma.' % (user.name,
user.link_karma)
back_link = "Try again"
return variables_text + '' + text + '' + back_link
if __name__ == '__main__':
r = praw.Reddit('OAuth Webserver example by u/_Daimon_ ver 0.1. See '
'https://praw.readthedocs.org/en/latest/'
'pages/oauth.html for more info.')
r.set_oauth_app_info(CLIENT_ID, CLIENT_SECRET, REDIRECT_URI)
app.run(debug=True, port=65010)
.. _oauth_scopes:
OAuth Scopes.
-------------
The following list of access types can be combined in any way you please. Just
pass a string containing each scope that you want (if you want several, they should be seperated by spaces, e.g. ``"identity submit edit"``) to the scope argument of the
``get_authorize_url`` method. The description of each scope is identical to the
one users will see when they have to authorize your application.
+-----------------+------------------------------------------------------------------------------------------------------------------------------------+----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
| Type | Description | PRAW methods |
+=================+====================================================================================================================================+==========================================================================================================================================================================================================+
| creddits | Spend my reddit gold creddits on giving gold to other users. | gild |
+-----------------+------------------------------------------------------------------------------------------------------------------------------------+----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
| edit | Edit and delete my comments and submissions. | edit, delete |
+-----------------+------------------------------------------------------------------------------------------------------------------------------------+----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
| flair | Select my subreddit flair. Change link flair on my submissions. | get_flair_choices, select_flair |
+-----------------+------------------------------------------------------------------------------------------------------------------------------------+----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
| history | Access my voting history and comments or submissions I've saved or hidden. | get_hidden, get_saved, get_upvoted, get_downvoted (the last two do not require the ``history`` scope if upvoted and downvoted posts are made public via the preferences) |
+-----------------+------------------------------------------------------------------------------------------------------------------------------------+----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
| identity | Access my reddit username and signup date. | get_me |
+-----------------+------------------------------------------------------------------------------------------------------------------------------------+----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
| modconfig | Manage the configuration, sidebar, and CSS of subreddits I moderate. | get_settings, set_settings, set_stylesheet, upload_image, create_subreddit, update_settings |
+-----------------+------------------------------------------------------------------------------------------------------------------------------------+----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
| modcontributors | Add/remove users to approved submitter lists and ban/unban users from subreddits I moderate. | add_ban, remove_ban, add_contributor, remove_contributor, add_wiki_contributor, remove_wiki_contributor, add_wiki_ban, remove_wiki_ban (the last four also require the ``modwiki`` scope) |
+-----------------+------------------------------------------------------------------------------------------------------------------------------------+----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
| modflair | Manage and assign flair in subreddits I moderate. | add_flair_template, clear_flair_template, delete_flair, configure_flair, flair_list, set_flair, set_flair_csv |
+-----------------+------------------------------------------------------------------------------------------------------------------------------------+----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
| modlog | Access the moderation log in subreddits I moderate. | get_mod_log |
+-----------------+------------------------------------------------------------------------------------------------------------------------------------+----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
| modothers | Invite or remove other moderators from subreddits I moderate. | add_moderator, remove_moderator |
+-----------------+------------------------------------------------------------------------------------------------------------------------------------+----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
| modposts | Approve, remove, mark nsfw, and distinguish content in subreddits I moderate. | approve, distinguish, remove, mark_as_nsfw, unmark_as_nsfw, undistinguish. |
+-----------------+------------------------------------------------------------------------------------------------------------------------------------+----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
| modself | Accept invitations to moderate a subreddit. Remove myself as a moderator or contributor of subreddits I moderate or contribute to. | accept_moderator_invite |
+-----------------+------------------------------------------------------------------------------------------------------------------------------------+----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
| modwiki | Change editors and visibility of wiki pages in subreddits I moderate. | add_editor, get_settings (when used on a WikiPage obejct, not a Subreddit object), edit_settings, remove_editor |
+-----------------+------------------------------------------------------------------------------------------------------------------------------------+----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
| mysubreddits | Access the list of subreddits I moderate, contribute to, and subscribe to. | my_contributions, my_moderation, my_reddits |
+-----------------+------------------------------------------------------------------------------------------------------------------------------------+----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
| privatemessages | Access my inbox and send private messages to other users. | mark_as_read, mark_as_unread, send_message, get_inbox, get_modmail, get_sent, get_unread |
+-----------------+------------------------------------------------------------------------------------------------------------------------------------+----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
| read | Access posts, listings and comments through my account. | get_comments, get_new_by_date (and the other listing funcs), get_submission, get_subreddit, get_content, from_url can now access things in private subreddits that the authenticated user has access to. |
+-----------------+------------------------------------------------------------------------------------------------------------------------------------+----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
| report | Report content for rules violations. Hide & show individual submissions. | report, hide, unhide |
+-----------------+------------------------------------------------------------------------------------------------------------------------------------+----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
| save | Save and unsave comments and submissions. | save, unsave |
+-----------------+------------------------------------------------------------------------------------------------------------------------------------+----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
| submit | Submit links and comments from my account. | add_comment, reply, submit |
+-----------------+------------------------------------------------------------------------------------------------------------------------------------+----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
| subscribe | Manage my subreddit subscriptions. | subscribe, unsubscribe |
+-----------------+------------------------------------------------------------------------------------------------------------------------------------+----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
| vote | Submit and change my votes on comments and submissions. | clear_vote, upvote, downvote, vote |
+-----------------+------------------------------------------------------------------------------------------------------------------------------------+----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
| wikiedit | Edit wiki pages on my behalf | edit_wiki_page |
+-----------------+------------------------------------------------------------------------------------------------------------------------------------+----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
| wikiread | Read wiki pages through my account. | get_wiki_page, get_wiki_pages |
+-----------------+------------------------------------------------------------------------------------------------------------------------------------+----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
praw-3.3.0/docs/pages/multiprocess.rst 0000666 0000000 0000000 00000007322 12546361470 016516 0 ustar root root .. _multiprocess:
Concurrent PRAW Instances
=========================
By default, PRAW works great when there is a one-to-one mapping between running
PRAW processes, and the IP address / user account that you make requests
from. In fact, as of version 2.1.0, PRAW has multithreaded support as long as
there is a one-to-one mapping between thread and PRAW :class:`.Reddit` object
instance. That is, in order to be thread safe, each thread needs to have its
own :class:`.Reddit` instance [#]_. In addition to multithreaded rate-limiting
support, PRAW 2.1.0 added multiprocess rate limiting support.
.. [#] It is undetermined at this time if the same authentication credentials
can be used on multiple instances where the modhash is concerned.
praw-multiprocess
-----------------
PRAW version 2.1.0 and later install with a program **praw-multiprocess**. This
program provides a request handling server that manages the rate-limiting and
caching of any PRAW process which directs requests toward it. Starting
**praw-multiprocess** is as simple as running ``praw-multiprocess`` from your
terminal / command line assuming you :ref:`installed PRAW `
properly.
By default **praw-multiprocess** will listen only on *localhost* port
*10101*. You can adjust those settings by passing in ``--addr`` and ``--port``
arguments respectively. For instance to have **praw-multiprocess** listen on
all valid addresses on port 65000, execute via: ``praw-multiprocess --addr
0.0.0.0 --port 65000``. For a full list of options execute ``praw-multiprocess
--help``.
PRAW's MultiprocessingHandler
-----------------------------
In order to interact with a **praw-multiprocess** server, PRAW needs to be
instructed to use the :class:`.MultiprocessHandler` rather than the
:class:`.DefaultHandler`. In your program you need to pass an instance of
:class:`.MultiprocessHandler` into the ``handler`` keyword argument when
creating the :class:`.Reddit` instance. Below is an example to connect to a
**praw-multiprocess** server running with the default arguments:
.. code-block:: python
import praw
from praw.handlers import MultiprocessHandler
handler = MultiprocessHandler()
r = praw.Reddit(user_agent='a descriptive user-agent', handler=handler)
With this configuration, all network requests made from your program(s) that
include the above code will be *proxied* through the `praw-multiprocess`
server. All requests made through the same **praw-multiprocess** server will
respect reddit's API rate-limiting rules
If instead, you wish to connect to a **praw-multiprocess** server running at
address ``10.0.0.1`` port 65000 then you would create the PRAW instance via:
.. code-block:: python
import praw
from praw.handlers import MultiprocessHandler
handler = MultiprocessHandler('10.0.0.1', 65000)
r = praw.Reddit(user_agent='a descriptive user-agent', handler=handler)
PRAW Multiprocess Resiliency
----------------------------
With all client/server type programs there is the possibility of network issues
or simply a lack of an available server. PRAW's :class:`.MultiprocessHandler`
was created to be quite resilient to such issues. PRAW will retry indefinitely
to connect to **praw-multiprocess** server. This means that a
**praw-multiprocess** server can be stopped and restarted without any effect on
programs utilizing it.
On the other hand, consecutive network failures where the
:class:`.MultiprocessHandler` has no issue establishing a connection to a
**praw-multiprocess** server will result in :class:`.ClientException` after
three failures. Such failures are **not** expected to occur and if
reproducable should be :ref:`reported `.
praw-3.3.0/docs/pages/getting_started.rst 0000666 0000000 0000000 00000014244 12577530752 017162 0 ustar root root .. _getting_started:
Getting Started
===============
In this tutorial we'll go over everything needed to create a bot or program
using reddit's API through the Python Reddit API Wrapper (PRAW). We're going to
write a program that breaks down a redditor's karma by subreddit, just like the
reddit feature. Unlike that, our program can break it down for any redditor,
not just us. However, it will be less precise due to limitations in the reddit
API, but we're getting ahead of ourselves.
This is a beginners tutorial to PRAW. We'll go over the hows and whys of
everything from getting started to writing your first program accessing reddit.
What we won't go over in this tutorial is the Python code.
Connecting to reddit
--------------------
Start by firing up Python and importing PRAW. You can find the installation
instructions on the :ref:`main page `.
.. code-block:: pycon
>>> import praw
Next we need to connect to reddit and identify our script. We do this through
the ``user_agent`` we supply when our script first connects to reddit.
.. code-block:: pycon
>>> user_agent = "Karma breakdown 1.0 by /u/_Daimon_"
>>> r = praw.Reddit(user_agent=user_agent)
Care should be taken when we decide on what user_agent to send to reddit. The
``user_agent`` field is how we uniquely identify our script. The `reddit API
wiki page `_ has the official and
updated recommendations on user_agent strings and everything else. Reading it
is *highly recommended*.
In addition to reddit's recommendations, your user_agent string should not
contain the keyword ``bot``.
Breaking Down Redditor Karma by Subreddit
-----------------------------------------
Now that we've established contact with reddit, it's time for the next step in
our script: to break down a user's karma by subreddit. There isn't a function
that does this, but luckily it's fairly easy to write the python code to do
this ourselves.
We use the function :meth:`.get_redditor` to get a :class:`.Redditor` instance
that represents a user on reddit. In the following case ``user`` will provide
access to the reddit user "\`\_Daimon\_\`".
.. code-block:: pycon
>>> user_name = "_Daimon_"
>>> user = r.get_redditor(user_name)
Next we can use the functions :meth:`~.Redditor.get_comments` and
:meth:`.get_submitted` to get that redditor's comments and submissions. Both
are a part of the superclass ``Thing`` as mentioned on the `reddit API wiki
page `_. Both functions can be
called with the parameter ``limit``, which limits how many things we receive.
As a default, reddit returns 25 items. When the limit is set to ``None``, PRAW
will try to retrieve all the things. However, due to limitations in the reddit
API (not PRAW) we might not get all the things, but more about that later.
During development you should be nice and set the limit lower to reduce
reddit's workload, if you don't actually need all the results.
.. code-block:: pycon
>>> thing_limit = 10
>>> gen = user.get_submitted(limit=thing_limit)
Next we take the generator containing things (either comments or submissions)
and iterate through them to create a dictionary with the subreddit display
names (like *python* or *askreddit*) as keys and the karma obtained in those
subreddits as values.
>>> karma_by_subreddit = {}
>>> for thing in gen:
... subreddit = thing.subreddit.display_name
... karma_by_subreddit[subreddit] = (karma_by_subreddit.get(subreddit, 0)
... + thing.score)
Finally, let's output the karma breakdown in a pretty format.
>>> import pprint
>>> pprint.pprint(karma_by_subreddit)
And we're done. The program could use a better way of displaying the data,
exception catching, etc. If you're interested, you can check out a more
fleshed out version of this `Karma-Breakdown
`_
program.
Obfuscation and API limitations
-------------------------------
As I mentioned before there are limits in reddit's API. There is a limit to the
amount of things reddit will return before it barfs. Any single reddit listing
will display at most 1000 items. This is true for all listings including
subreddit submission listings, user submission listings, and user comment
listings.
You may also have realized that the karma values change from run to run. This
inconsistency is due to `reddit's obfuscation
`_
of the upvotes and downvotes. The obfuscation is done to everything and
everybody to thwart potential cheaters. There's nothing we can do to prevent
this.
Another thing you may have noticed is that retrieving a lot of elements take
time. reddit allows requests of up to 100 items at once. So if you request <=
100 items PRAW can serve your request in a single API call, but for larger
requests PRAW will break it into multiple API calls of 100 items each separated
by a small 2 second delay to follow the `api guidelines
`_. So requesting 250 items will
require 3 api calls and take at least 2x2=4 seconds due to API delay. PRAW does
the API calls lazily, i.e. it will not send the next api call until you
actually need the data. Meaning the runtime is max(api_delay, code execution
time).
Continue to the next tutorial. :ref:`writing_a_bot`.
The full Karma Breakdown program.
---------------------------------
.. code-block:: python
import praw
user_agent = ("Karma breakdown 1.0 by /u/_Daimon_ "
"github.com/Damgaard/Reddit-Bots/")
r = praw.Reddit(user_agent=user_agent)
thing_limit = 10
user_name = "_Daimon_"
user = r.get_redditor(user_name)
gen = user.get_submitted(limit=thing_limit)
karma_by_subreddit = {}
for thing in gen:
subreddit = thing.subreddit.display_name
karma_by_subreddit[subreddit] = (karma_by_subreddit.get(subreddit, 0)
+ thing.score)
import pprint
pprint.pprint(karma_by_subreddit)
praw-3.3.0/docs/pages/useful_scripts.rst 0000666 0000000 0000000 00000021656 12603443222 017033 0 ustar root root .. _useful_scripts:
Useful Apps/Scripts
===================
Here are some scripts that people have contributed so far. Feel free to edit
this page to add in more.
`PRAWtools`_ by `BBoe `_
A collection of tools that utilize PRAW. Two current tools are ``modutils``
a program useful to subreddit moderators, and ``subreddit_stats``, a tool
to compute submission / comment statistics for a subreddit.
`prawoauth2`_ by `Avinash Sajjanshetty `_
``prawoauth2`` is a helper library for PRAW which makes writing Reddit bots/apps using
OAuth2 super easy, simple and fun.
`AutoModerator`_ by `Deimos `_
A bot for automating straightforward reddit moderation tasks and improving
upon the existing spam-filter.
`r.doqdoq `_
A website that displays reddit stories under the guise of Python or Java
code.
`reddit Notifier `_ for Gnome3
Integrates with Unity and Gnome Shell to display new reddit mail as it
arrives.
`Link Unscripter `_
A bot for replying to posts that contain
javascript-required links to provide non-javascript alternatives.
`ClockStalker `_
Examines a redditor's posting history and creates `a comment with a nice
activity overview
`_. ClockStalker uses an older
version of PRAW, the ``reddit``, module. It should, but may not, work with
the latest version of PRAW.
`Butcher bot`_ by `u/xiphirx `_
Handles routine tasks on `r/Diablo `_ such
as the removal of images/memes and bandwagon-esque titles.
`r/diablo flair infographic generator`_ by `u/xiphirx`_
Creates beautiful `infographics `_.
`Groompbot`_ by `u/AndrewNeo `_
Posts new videos from YouTube to a subreddit.
`newsfrbot`_ by `u/keepthepace `_
Parses RSS feeds from some major french publications and posts them to
relevant subreddits.
`reddit-modbot `_
A relatively lightweight script for automating reddit moderating tasks. It
was written as a simpler alternative to `AutoModerator`_ by Deimos.
`reddit-giveaway-bot `_
A bot that automatically manages giveaway. One feature gives out product
keys to the first N commenters.
`DailyProgBot `_
A simple challenge-queue submission bot for `r/DailyProgrammer
`_. Users submit challenges
through a Google Documents form, then the bot crawls said form, posting the
appropriate challenge on the appropriate day of the week.
`VideoLinkBot`_ by `u/shaggorama `_
A bot that aggregates video links in a response comment where multiple
videos links appear in reply to a submission (uses a slightly out-of-date
version of PRAW, currently requires ``Submission.all_comments_flat``).
`reddit-analysis`_ by `u/rhiever `_
Scrapes a specific subreddit or user and prints out all of the
commonly-used words in the past month. Contains a data file containing a
list of words that should be considered common.
`AlienFeed`_ by `u/Jawerty `_
AlienFeed is a command line application made for displaying and interacting
with reddit submissions. The client can return a list containing the top
submissions in a subreddit, and even open the links up if you'd like.
`ALTcointip`_ by `u/im14 `_
ALTcointip bot allows redditors to gift (tip) various cryptocoins
(Litecoin, PPCoin, Namecoin, etc) to each other as a way of saying thanks.
`RedditAgain`_ by `Karan Goel `_
Migrate an old reddit account to a new one. Backs up existing content and
submissions, and copies subscriptions to a new account.
`reddit-cloud`_ by `Paul Nechifor `_
Generates word clouds for submissions (or users), posts them to Imgur and
the URL to reddit. It's what I run on
`u/WordCloudBot2 `_.
`Reddit-to-Diigo-Copier`_ by `Doug `_
Copies your reddit saved links to a Diigo account of your choice. Makes use
of PRAW and the Diigo API.
`NetflixBot`_ by `Alan Wright `_
Parses comments for calls and determines if a movie is availble for
streaming on Netflix. Makes use of PRAW and the NetflixRouletteAPI. Run on
`u/NetflixBot `_.
`RemindMeBot`_ by `Joey `_
Called upon with the ``RemindMeBot!`` command on any subreddit, the user is
able to set a reminder for themselves about the current thread or comment.
The bot will then send them a private message with the date they specified.
`u/RemindMeBot `_.
`RedditRover`_ by `DarkMio `_
A plugin based Reddit Multi Bot Framework intended for new and advanced
programmers to host a wide variety of Reddit bots without mangling with
all the ins and outs of Reddit, PRAW and API limitations.
`Reddit Keyword Tracking Bot`_ by Jermell Beane
A bot that will watch any subreddits and email you with
updates when it finds words that matter to you. settings are configured
via a GUI making it easy for people who don't know how to edit python
scripts.
`Reddit-Paper`_ by Cameron Gagnon.
Command line interface program that will download the top 5 images from
r/earthporn, r/spaceporn, etc. and set them as the computer's
wallpaper. Currently only tested and used on Ubuntu, but more OS's coming
soon.
`QR Codify `_ by JstnPwll
Fetches username mentions and converts the comment data into a QR code. The
code is then posted via ASCII characters as a followup comment.
`EVE Killmail Reddit Bot`_ by `ArnoldM904 `_
Searches for comments in /r/eve that contain zkillboard killmail links.
Then replies to comments with web-scraped TL;DR of the information.
`ButtsBot`_ by `Judson Dunaway-Barlow `_
A silly bot that posts a picture of a (clothed) butt from the Astros team whenever somebody in the /r/Astros subreddit uses any of a few certain keywords in a comment.
`GoodReads Bot`_ by `Avinash Sajjanshetty `_
A bot which powers `/u/goodreadsbot `_ on Reddit, posts information of a book whenever someone posts a link to Goodreads.
**\**
Edit `this page on github `_ to add your script to this list.
.. Please keep this list of links lexicographically sorted
.. _`AlienFeed`: https://github.com/jawerty/AlienFeed
.. _`ALTcointip`: https://github.com/vindimy/altcointip
.. _`AutoModerator`: https://github.com/Deimos/AutoModerator
.. _`Butcher bot`: https://github.com/xiphirx/Butcher-Bot
.. _`ButtsBot`: https://github.com/jadunawa/ButtsBot
.. _`EVE Killmail Reddit Bot`: https://github.com/ArnoldM904/EK_Reddit_Bot
.. _`GoodReads Bot`: https://github.com/avinassh/Reddit-GoodReads-Bot
.. _`Groompbot`: https://github.com/AndrewNeo/groompbot
.. _`NetflixBot`: https://github.com/alanwright/netflixbot
.. _`prawoauth2`: https://github.com/avinassh/prawoauth2
.. _`PRAWtools`: https://github.com/praw-dev/prawtools
.. _`Reddit Keyword Tracking Bot`:
https://github.com/SwedishBotMafia/RScanBot.Gen
.. _`Reddit-Paper` : https://github.com/cameron-gagnon/reddit-paper
.. _`Reddit-to-Diigo-Copier`:
https://github.com/OdinsHat/Reddit-to-Diigo-Copier
.. _`RedditAgain`: https://github.com/karan/RedditAgain
.. _`RedditRover` : https://github.com/DarkMio/RedditRover
.. _`RemindMeBot`: https://github.com/SIlver--/remindmebot-reddit
.. _`VideoLinkBot`: https://github.com/dmarx/VideoLinkBot
.. _`newsfrbot`: https://github.com/gardaud/newsfrbot
.. _`r/diablo flair infographic generator`:
https://github.com/xiphirx/rdiablo-flair-infographic-generator
.. _`reddit-analysis`: https://github.com/rhiever/reddit-analysis
.. _`reddit-cloud`: https://github.com/paul-nechifor/reddit-cloud
.. _`u/xiphirx`: http://www.reddit.com/user/xiphirx
praw-3.3.0/docs/pages/lazy-loading.rst 0000666 0000000 0000000 00000005371 12546361470 016361 0 ustar root root .. _lazy_objects:
Lazy Objects
============
Each API request to Reddit must be separated by a 2 second delay, as per the
API rules. So to get the highest performance, the number of API calls must be
kept as low as possible. PRAW uses lazy objects to only make API calls when/if
the information is needed.
For instance, if you're doing the following::
>>> import praw
>>> r = praw.Reddit(user_agent=UNIQUE_AND_DESCRIPTIVE_USERAGENT)
>>> subreddit = r.get_subreddit('askhistorians')
Then :meth:`.get_subreddit` didn't send a request to Reddit. Instead it created
a lazy :class:`.Subreddit` object, that will be filled out with data when/if
necessary::
>>> for post in subreddit.get_hot():
... pass
Information about the subreddit, like number of subscribers or its
description, is not needed to get the hot listing. So PRAW doesn't request
it and avoids an unnecessary API call, making the code above run about 2
seconds faster due to lazy objects.
When do the lazy loaded objects become non-lazy?
------------------------------------------------
When the information is needed. It's really that simple. Continuing the code
from above::
>>> subreddit.has_fetched
False # Data has not been fetched from reddit. It's a lazily loaded object.
>>> subreddit.public_description
u'Questions about the past: answered!'
>>> subreddit.has_fetched
True # No longer lazily loaded.
Where are the lazy objects?
---------------------------
PRAW uses lazy objects whenever possible. Objects created with
:meth:`.get_subreddit` or :meth:`.get_redditor` are lazy, unless you call the
methods with ``fetch=True``. In this case all data about the object will be
fetched at creation::
>>> non_lazy_subreddit = r.get_subreddit('askhistorians', fetch=True)
>>> non_lazy_subreddit.has_fetched
True
When one object references another, the referenced object starts as a lazy
object::
>> submission = r.get_submission(submission_id="16m0uu")
>> submission.author # Reference to a lazy created Redditor object.
Whenever a method returns a generator, such as when you call
:meth:`.get_front_page` then that's also a lazy object. They don't send API
requests to reddit for information until you actually need it by iterating
through the generator.
Lazy objects and errors
-----------------------
The downside of using lazy objects is that any error will not happen when the
lazy object is created, but instead when the API call is actually made::
>> private_subreddit = r.get_subreddit('lounge')
>> private_subreddit.has_fetched
False
>> private_subreddit.subscribers
Traceback (most recent call last):
...
praw.errors.Forbidden:
praw-3.3.0/docs/pages/exceptions.rst 0000666 0000000 0000000 00000006363 12550633376 016154 0 ustar root root .. _exceptions:
Exceptions
==========
This page documents the exceptions that can occur while running PRAW and what
they mean. The exceptions can be divided into three rough categories and a full
list of the ``ClientException`` s and ``APIException`` s that can occur can be
found in the `errors module
`_.
ClientException
---------------
Something went wrong on the client side of the request. All exceptions of this
nature inherit from the exception class ``ClientException``. Most of these
exceptions occur when you try to do something you don't have authorization to
do. For instance trying to remove a submission in a subreddit where the
logged-in user is not a moderator will throw a ``ModeratorRequired`` error.
APIException
------------
Something went wrong on the server side of the request. All exceptions of this
nature inherit from the exception class ``APIException``. They deal with all
sorts of errors that can occur when communicating with a remote API such as
trying to login with the incorrect password, which raise a ``InvalidUserPass``.
HTTPException
-------------
All other errors. The most common occurrence is when reddit returns a non-200
status code. This will raise an exception that is either an object of the
:class:`.HTTPException` or one of its subclasses.
Each of these exceptions will likely have an associated HTTP response status
code. The meanings of some of these status codes are:
301, 302
^^^^^^^^
Redirects. Are automatically handled in PRAW, but may result in a
``RedirectException`` if an unexpected redirect is encountered.
403 (:class:`.Forbidden`)
^^^^^^^^^^^^^^^^^^^^^^^^^
This will occur if you try to access a restricted resource. For instance a
private subreddit that the currently logged-in user doesn't have access to.
.. code-block:: pycon
>>> import praw
>>> r = praw.Reddit('404 test by u/_Daimon_')
>>> r.get_subreddit('lounge', fetch=True)
404 (:class:`.NotFound`)
^^^^^^^^^^^^^^^^^^^^^^^^
Indicates that the requested resource does not exist.
500
^^^
An internal error happened on the server. Sometimes there's a temporary hiccup
that cause this and repeating the request will not re-raise the issue. If it's
consistently thrown when you call the same PRAW method with the same arguments,
then there's either a bug in the way PRAW parses arguments or in the way reddit
handles them. Create a submission on `r/redditdev
`_ so that the right people become aware of
the issue and can solve it.
502, 503, 504
^^^^^^^^^^^^^
A temporary issue at reddit's end. Usually only happens when the servers are
under very heavy pressure. Since it's a temporary issue, PRAW will
automatically retry the request for you. If you're seeing this error then PRAW
has either failed with this request 3 times in a row or it's a request that
adds something to reddit's database like
:meth:`~praw.objects.Submission.add_comment`. In this case, the error may be
thrown after the comment was added to reddit's database, so retrying the
request could result in duplicate comments. To prevent duplication such
requests are not retried on errors.
praw-3.3.0/docs/pages/writing_a_bot.rst 0000666 0000000 0000000 00000032104 12546361470 016610 0 ustar root root .. _writing_a_bot:
Writing a reddit Bot
====================
In the :ref:`getting_started` tutorial, we wrote a script to break down a
redditor's karma. In this tutorial we will write a bot.
Bots differ from scripts in a few different ways. First, bots normally run
continuously whereas scripts are most often one-off jobs. Second, bots
usually automate some task that could be performed by a user, such as posting,
commenting or moderating. Bots also present unique design challenges not
applicable to writing scripts. We need to make sure that bots keep working
continuously, don't unnecessarily perform the same task twice and keep within
`API Guidelines `_. This tutorial
will introduce you to all three of these problems and show how to use PRAW's
and reddit's documentation.
The Problem
-----------
From time to time questions are submitted to reddit.com about PRAW, mellort's
deprecated fork and the reddit API in general. `\u\_Daimon_` wants to be
notified of these submissions, so he can help the submitter. The bot will
monitor the subreddits `r/python `_,
`r/learnpython`_ and `r/redditdev `_ and
send `\u\_Daimon_` a private message, whenever it detects a post with such a
question.
We start by importing PRAW and logging in.
>>> import time
>>> import praw
>>> r = praw.Reddit('PRAW related-question monitor by /u/_Daimon_ v 1.0. '
... 'Url: https://praw.readthedocs.org/en/latest/'
... 'pages/writing_a_bot.html')
>>> r.login()
>>> already_done = [] # Ignore this for now
The next step is the main loop, where we look at each of the subreddits in
turn. For this tutorial we will implement a subset of the bot, which only looks
at the submissions in `r/learnpython`_ to make the example code as clear as
possible.
>>> while True:
>>> subreddit = r.get_subreddit('learnpython')
>>> for submission in subreddit.get_hot(limit=10):
# Test if it contains a PRAW-related question
Finding what we need
^^^^^^^^^^^^^^^^^^^^
Now that we have the submissions, we need to see if they contain a PRAW-related
question. We are going to look at the text part of a submission to see if it
contains one of the strings "reddit api", "praw" or "mellort". So we're going
to go through how you can find out stuff like this on your own.
Start the Python interpreter and compare the output with `this r/learnpython
`_ post.
.. code-block:: pycon
>>> import praw
>>> from pprint import pprint
>>> r = praw.Reddit('Submission variables testing by /u/_Daimon_')
>>> submission = r.get_submission(submission_id = "105aru")
>>> pprint(vars(submission))
{'_comment_sort': None,
'_comments': [,
,
],
'_comments_by_id': {u't1_c6aijmu': ,
u't1_c6ailrj': ,
u't1_c6ailxt': ,
u't1_c6ak4rq': ,
u't1_c6akq4n': ,
u't1_c6akv1g': }
,
'_info_url': 'http://www.reddit.com/api/info/',
'_orphaned': {},
'_populated': True,
'_replaced_more': False,
'_underscore_names': None,
'approved_by': None,
'author': Redditor(user_name='Blackshirt12'),
'author_flair_css_class': u'py32bg',
'author_flair_text': u'',
'banned_by': None,
'clicked': False,
'created': 1348081369.0,
'created_utc': 1348077769.0,
'domain': u'self.learnpython',
'downs': 0,
'edited': 1348083784.0,
'hidden': False,
'id': u'105aru',
'is_self': True,
'likes': None,
'link_flair_css_class': None,
'link_flair_text': None,
'media': None,
'media_embed': {},
'name': u't3_105aru',
'num_comments': 6,
'num_reports': None,
'over_18': False,
'permalink': u'http://www.reddit.com/r/learnpython/comments/105aru/newbie_stri
pping_strings_of_last_character/',
'reddit_session': ,
'saved': False,
'score': 1,
'selftext': u'Update: Thanks for the help. Got fixed.\n\nI need to strip 3
strin gs in a list of 4 of their trailing commas to get my formatting right
and to conv ert one of them (a number) to a float but I\'m confused on the
syntax. Also, I do n\'t know of an efficient way of completing the task; I was
planning on stripping each of the three strings on a new line.\n\n for line
in gradefile:\n linelist = string.split(line)\n #strip linelist[0],[1],
and [2] of commas\ n linelist = string.rstrip(linelist[0], ",")',
'selftext_html': u'<!-- SC_OFF --><div class="md"><p>Update:
Thanks for the help. Got fixed.</p>\n\n<p>I need to strip 3
strings in a list of 4 of their trailing commas to get my formatting right and
to convert o ne of them (a number) to a float but I'm confused on the
syntax. Also, I don't know of an efficient way of completing the task;
I was planning on stripping each of the three strings on a new
line.</p>\n\n<pre><co de>for line in gradefile:\n
linelist = string.split(line)\n #strip linel ist[0],[1], and [2] of
commas\n linelist = string.rstrip(linelist[0], &quo
t;,")\n</code></pre>\n</div><!-- SC_ON -->',
'subreddit': ,
'subreddit_id': u't5_2r8ot',
'thumbnail': u'',
'title': u'Newbie: stripping strings of last character',
'ups': 1,
'url': u'http://www.reddit.com/r/learnpython/comments/105aru/newbie_stripping_
strings_of_last_character/'}
>>> pprint(dir(submission))
['__class__',
'__delattr__',
'__dict__',
'__doc__',
'__eq__',
'__format__',
'__getattr__',
'__getattribute__',
'__hash__',
'__init__',
'__module__',
'__ne__',
'__new__',
'__reduce__',
'__reduce_ex__',
'__repr__',
'__setattr__',
'__sizeof__',
'__str__',
'__subclasshook__',
'__unicode__',
'__weakref__',
'_comment_sort',
'_comments',
'_comments_by_id',
'_extract_more_comments',
'_get_json_dict',
'_info_url',
'_insert_comment',
'_orphaned',
'_populate',
'_populated',
'_replaced_more',
'_underscore_names',
'_update_comments',
'add_comment',
'approve',
'approved_by',
'author',
'author_flair_css_class',
'author_flair_text',
'banned_by',
'clear_vote',
'clicked',
'comments',
'created',
'created_utc',
'delete',
'distinguish',
'domain',
'downs',
'downvote',
'edit',
'edited',
'from_api_response',
'from_id',
'from_url',
'fullname',
'hidden',
'hide',
'id',
'is_self',
'likes',
'link_flair_css_class',
'link_flair_text',
'mark_as_nsfw',
'media',
'media_embed',
'name',
'num_comments',
'num_reports',
'over_18',
'permalink',
'reddit_session',
'refresh',
'remove',
'replace_more_comments',
'report',
'save',
'saved',
'score',
'selftext',
'selftext_html',
'set_flair',
'short_link',
'subreddit',
'subreddit_id',
'thumbnail',
'title',
'undistinguish',
'unhide',
'unmark_as_nsfw',
'unsave',
'ups',
'upvote',
'url',
'vote']
``vars`` contain the object's attributes and the values they contain. For
instance we can see that it has the variable ``title`` with the value
``u'Newbie: stripping strings of last character``. ``dir`` returns the names in
the local scope. You can also use ``help`` for introspection, if you wish to
generate a longer help page. Worth noting is that PRAW contains a lot of
property-decorated functions, i.e., functions that are used as variables. So if
you're looking for something that behaves like a variable, it might not be in
vars. One of these is :attr:`.short_link`, which returns a much shorter url to
the submission and is called as a variable.
Another way of finding out how a reddit page is translated to variables is to
look at the .json version of that page. Just append .json to a reddit url to
look at the json version, such as the `previous r/learnpython post
`_. The variable name reddit uses for a variable is
almost certainly the same PRAW uses.
The 3 Bot Problems.
-------------------
Not Doing The Same Work Twice.
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
From the information we gained in the previous section, we see that the text
portion of a submission is stored in the variable ``selftext``. So we test if
any of the strings are within the ``selftext``, and if they are the bot sends
me a message. But `\u\_Daimon_` should only ever receive a single message per
submission. So we need to maintain a list of the submissions we've already
notified `\u\_Daimon_` about. Each ``Thing`` has a unique ID, so we simply
store the used ones in a list and check for membership before mailing. Finally
we sleep 30 minutes and restart the main loop.
>>> prawWords = ['praw', 'reddit_api', 'mellort']
>>> op_text = submission.selftext.lower()
>>> has_praw = any(string in op_text for string in prawWords)
>>> if submission.id not in already_done and has_praw:
... msg = '[PRAW related thread](%s)' % submission.short_link
... r.send_message('_Daimon_', 'PRAW Thread', msg)
... already_done.append(submission.id)
>>> time.sleep(1800)
Note that if the authenticated account has less than 2 link karma then PRAW
will prompt for a captcha on stdin. Similar to how reddit would prompt for a
captcha if the authenticated user tried to send the message via the webend.
Running Continually.
^^^^^^^^^^^^^^^^^^^^
reddit.com is going to crash and other problems will occur. That's a fact of
life. Good bots should be able to take this into account and either exit
gracefully or survive the problem. This is a simple bot, where the loss of all
data isn't very problematic. So for now we're simply going to accept that it
will crash with total loss of data at the first problem encountered.
Keeping Within API Guidelines.
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
PRAW was designed to make following the `API guidelines
`_ simple. It will not send a
request more often than every 2 seconds and it caches every page for 30
seconds. This can be modified in :ref:`configuration_files`.
The problem comes when we run multiple bots / scripts at the same time. PRAW
cannot share these settings between programs. So there will be at least 2
seconds between program A's requests and at least 2 seconds between program B's
requests, but combined their requests may come more often than every 2 seconds.
If you wish to run multiple program at the same time. Either combine them into
one, ensure from within the programs (such as with message passing) that they
don't combined exceed the API guidelines, or :ref:`edit the configuration files
` to affect how often a program can send a request.
All 3 bot problems will be covered more in-depth in a future tutorial.
For now, you can continue to the next part of our tutorial series.
:ref:`comment_parsing`.
The full Question-Discover program
----------------------------------
.. code-block:: python
""""
Question Discover Program
Tutorial program for PRAW:
See https://github.com/praw-dev/praw/wiki/Writing-A-Bot/
"""
import time
import praw
r = praw.Reddit('PRAW related-question monitor by u/_Daimon_ v 1.0.'
'Url: https://praw.readthedocs.org/en/latest/'
'pages/writing_a_bot.html')
r.login()
already_done = []
prawWords = ['praw', 'reddit_api', 'mellort']
while True:
subreddit = r.get_subreddit('learnpython')
for submission in subreddit.get_hot(limit=10):
op_text = submission.selftext.lower()
has_praw = any(string in op_text for string in prawWords)
# Test if it contains a PRAW-related question
if submission.id not in already_done and has_praw:
msg = '[PRAW related thread](%s)' % submission.short_link
r.send_message('_Daimon_', 'PRAW Thread', msg)
already_done.append(submission.id)
time.sleep(1800)
.. _`r/learnpython`: http://www.reddit.com/r/learnpython
praw-3.3.0/docs/pages/contributor_guidelines.rst 0000666 0000000 0000000 00000003073 12577530752 020553 0 ustar root root .. _contributor_guidelines:
Contributor Guidelines
======================
PRAW gladly welcomes new contributions. As with most larger projects, we have
an established consistent way of doing things. A consistent style increases
readability, decreases bug-potential and makes it faster to understand how
everything works together.
PRAW follows :PEP:`8` and :PEP:`257`. You can use ``lint.sh`` to test for
compliance with these PEP's. The following are PRAW-specific guidelines in to
those PEP's.
Code
----
* Objects are sorted alphabetically.
* Things should maintain the same name throughout the code. \*\*kwargs should
never be \*\*kw.
* Things should be stored in the same data structure throughout the code.
Testing
-------
* If you're adding functionality, either add tests or suggest how it might be
tested.
* In assertEquals, the first value should be the value you're testing and the
second the known value.
Documentation
-------------
* All publicly available functions, classes and modules should have a
docstring.
* Use correct terminology. A subreddits name is something like ' t5_xyfc7'.
The correct term for a subreddits "name" like
`python `_ is its display name.
* When referring to any reddit. Refer to it as 'reddit'. When you are speaking
of the specific reddit instance with the website reddit.com, refer to it as
'reddit.com'. This helps prevent any confusion between what is universally
true between all reddits and what specifically applies to the most known
instance.
praw-3.3.0/docs/pages/faq.rst 0000666 0000000 0000000 00000012446 12577530752 014544 0 ustar root root .. _faq:
Frequently Asked Questions
==========================
This is a list of frequently asked questions and a description of non-obvious
behavior in PRAW and reddit.
FAQ
---
How do I get a comment by ID?
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
If you have a permalink to a comment you can use get_submission on the
permalink, and then the first comment should be the desired one.
>>> s = r.get_submission('http://www.reddit.com/r/redditdev/comments/s3vcj/_/c4axeer')
>>> your_comment = s.comments[0]
.. _handling-captchas:
How can I handle captchas myself?
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
Normally, PRAW will automatically prompt for a response whenever a captcha is
required. This works great if you're interactively running a program on the
terminal, but may not be desired for other applications. In order to prevent
the automatic prompting for captchas, one must add
``raise_captcha_exception=True`` to the function call:
>>> r.submit('reddit_api_test', 'Test Submission', text='Failed Captcha Test',
... raise_captcha_exception=True)
Traceback (most recent call last):
...
praw.errors.InvalidCaptcha: `care to try these again?` on field `captcha`
With this added keyword, you program can catch the :class:`.InvalidCaptcha`
exception and obtain the ``captcha_id`` via ``response['captcha']`` of the
exception instance.
In order to manually pass the captcha response to the desired function you must
add a ``captcha`` keyword argument with a value of the following format:
.. code-block:: pycon
{'iden' : 'the captcha id', 'captcha': 'the captcha response text'}
For instance if the solution to ``captcha_id``
``f7UdxDmAEMbyLrb5fRALWJWvI5RPgGve`` is ``FYEMHB`` then the above submission
can be made with the following call:
>>> captcha = {'iden': 'f7UdxDmAEMbyLrb5fRALWJWvI5RPgGve', 'captcha': 'FYEMHB'}
>>> r.submit('reddit_api_test', 'Test Submission', text='Failed Captcha Test',
... raise_captcha_exception=True, captcha=captcha)
Note that we still add ``raise_captcha_exception=True`` in case the provided
captcha is incorrect.
I made a change, but it doesn't seem to have an effect?
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
PRAW follows the `api guidelines `_
which require that pages not be requested more than every 30 seconds. To do
this PRAW has an internal cache, which stores results for 30 seconds and give
you the cached result if you request the same page within 30 seconds.
Some commands take a while. Why?
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
PRAW follows the `api guidelines `_
which require a 2 second delay between each API call via CookieAuth. If you
are exclusively using OAuth2, you are allowed to change this delay in your
``praw.ini`` file to be a 1 second delay. This will be the default once
CookieAuth is deprecated.
When I print a Comment only part of it is printed. How can I get the rest?
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
A :class:`.Comment` is an object which contain a number of attributes with
information about the object such as ``author``, ``body`` or ``created_utc``.
When you use ``print`` the object string (well unicode) representation of the
object is printed. Use ``vars`` to discover what attributes and their values an
object has, see :ref:`writing_a_bot` for more details.
Why does the karma change from run to run?
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
This inconsistency is due to `reddit's obfuscation
`_
of the upvotes and downvotes. The obfuscation is done to everything and
everybody to thwart potential cheaters. There's nothing we can do to prevent
this.
.. _report_an_issue:
How do I report an issue with PRAW?
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
If you believe you found an issue with PRAW that you can reliably reproduce
please `file an issue on github
`_. When reporting an issue,
please note the version of PRAW you are using (``python -c 'import praw;
print(praw.__version__)'``), and provide the code necessary to reproduce the
issue. It is strongly suggested that you condense your code as much as
possible.
Alternatively, if you cannot reliably reproduce the error, or if you do not
wish to create a github account, you can make a submission on `/r/redditdev
`_.
Non-obvious behavior and other need to know
-------------------------------------------
* All of the listings (list of stories on subreddit, etc.) are generators,
*not* lists. If you need them to be lists, an easy way is to call ``list()``
with your variable as the argument.
* The default limit for fetching Things is your `reddit preferences default
`_, usually 25. You can change this with the
``limit`` param. If want as many Things as you can then set ``limit=None``.
* We can at most get 1000 results from every listing, this is an upstream
limitation by reddit. There is nothing we can do to go past this
limit. But we may be able to get the results we want with the
:meth:`~.UnauthenticatedReddit.search` method instead.
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áÚ™Ú2®AÁìH°Pò+¯¼Î½*ì@ € % ôRH¦PÍjôWt[¼‹NEFúŽ;î¸è¢‹Äz< @ € P¡—B2s?øJ]æ# @ € š– Ü´KC`€ @ 5!€×+B € 4- ¸i—†À @ € jBàÿm‡Ö§™q õ IEND®B`‚ praw-3.3.0/docs/conf.py 0000666 0000000 0000000 00000020212 12566234242 013422 0 ustar root root # -*- coding: utf-8 -*-
#
# Python Reddit API Wrapper documentation build configuration file, created by
# sphinx-quickstart on Thu Mar 8 22:13:17 2012.
#
# This file is execfile()d with the current directory set to its containing dir.
#
# Note that not all possible configuration values are present in this
# autogenerated file.
#
# All configuration values have a default; values that are commented out
# serve to show the default.
import sys
sys.path.insert(0, "..")
from praw import __version__
# If extensions (or modules to document with autodoc) are in another directory,
# add these directories to sys.path here. If the directory is relative to the
# documentation root, use os.path.abspath to make it absolute, like shown here.
#sys.path.insert(0, os.path.abspath('.'))
# -- General configuration -----------------------------------------------------
# If your documentation needs a minimal Sphinx version, state it here.
#needs_sphinx = '1.0'
# Add any Sphinx extension module names here, as strings. They can be extensions
# coming with Sphinx (named 'sphinx.ext.*') or your custom ones.
extensions = ['sphinx.ext.autodoc']
autoclass_content = 'both'
# Add any paths that contain templates here, relative to this directory.
templates_path = ['_templates']
# The suffix of source filenames.
source_suffix = '.rst'
# The encoding of source files.
#source_encoding = 'utf-8-sig'
# The master toctree document.
master_doc = 'index'
# General information about the project.
copyright = u'2014, Bryce Boe'
project = u'PRAW'
# The version info for the project you're documenting, acts as replacement for
# |version| and |release|, also used in various other places throughout the
# built documents.
#
# The short X.Y version.
version = '.'.join(__version__.split('.', 2)[:2])
# The full version, including alpha/beta/rc tags.
release = __version__
# The language for content autogenerated by Sphinx. Refer to documentation
# for a list of supported languages.
#language = None
# There are two options for replacing |today|: either, you set today to some
# non-false value, then it is used:
#today = ''
# Else, today_fmt is used as the format for a strftime call.
#today_fmt = '%B %d, %Y'
# List of patterns, relative to source directory, that match files and
# directories to ignore when looking for source files.
exclude_patterns = ['_build']
# The reST default role (used for this markup: `text`) to use for all documents.
#default_role = None
# If true, '()' will be appended to :func: etc. cross-reference text.
#add_function_parentheses = True
# If true, the current module name will be prepended to all description
# unit titles (such as .. function::).
#add_module_names = True
# If true, sectionauthor and moduleauthor directives will be shown in the
# output. They are ignored by default.
#show_authors = False
# The name of the Pygments (syntax highlighting) style to use.
pygments_style = 'sphinx'
# A list of ignored prefixes for module index sorting.
#modindex_common_prefix = []
# -- Options for HTML output ---------------------------------------------------
# The theme to use for HTML and HTML Help pages. See the documentation for
# a list of builtin themes. Currently Setting it to default to allow RTD
# builds to pickup the new default theme.
html_theme = 'default'
# Theme options are theme-specific and customize the look and feel of a theme
# further. For a list of options available for each theme, see the
# documentation.
#html_theme_options = {}
# Add any paths that contain custom themes here, relative to this directory.
#html_theme_path = []
# The name for this set of Sphinx documents. If None, it defaults to
# " v documentation".
#html_title = None
# A shorter title for the navigation bar. Default is the same as html_title.
#html_short_title = None
# The name of an image file (relative to this directory) to place at the top
# of the sidebar.
#html_logo = None
# The name of an image file (within the static path) to use as favicon of the
# docs. This file should be a Windows icon file (.ico) being 16x16 or 32x32
# pixels large.
#html_favicon = None
# Add any paths that contain custom static files (such as style sheets) here,
# relative to this directory. They are copied after the builtin static files,
# so a file named "default.css" will overwrite the builtin "default.css".
html_static_path = ['_static']
# If not '', a 'Last updated on:' timestamp is inserted at every page bottom,
# using the given strftime format.
#html_last_updated_fmt = '%b %d, %Y'
# If true, SmartyPants will be used to convert quotes and dashes to
# typographically correct entities.
#html_use_smartypants = True
# Custom sidebar templates, maps document names to template names.
#html_sidebars = {}
# Additional templates that should be rendered to pages, maps page names to
# template names.
#html_additional_pages = {}
# If false, no module index is generated.
#html_domain_indices = True
# If false, no index is generated.
#html_use_index = True
# If true, the index is split into individual pages for each letter.
#html_split_index = False
# If true, links to the reST sources are added to the pages.
#html_show_sourcelink = True
# If true, "Created using Sphinx" is shown in the HTML footer. Default is True.
#html_show_sphinx = True
# If true, "(C) Copyright ..." is shown in the HTML footer. Default is True.
#html_show_copyright = True
# If true, an OpenSearch description file will be output, and all pages will
# contain a tag referring to it. The value of this option must be the
# base URL from which the finished HTML is served.
#html_use_opensearch = ''
# This is the file name suffix for HTML files (e.g. ".xhtml").
#html_file_suffix = None
# Output file base name for HTML help builder.
htmlhelp_basename = 'PythonRedditAPIWrapperdoc'
# -- Options for LaTeX output --------------------------------------------------
latex_elements = {
# The paper size ('letterpaper' or 'a4paper').
#'papersize': 'letterpaper',
# The font size ('10pt', '11pt' or '12pt').
#'pointsize': '10pt',
# Additional stuff for the LaTeX preamble.
#'preamble': '',
}
# Grouping the document tree into LaTeX files. List of tuples
# (source start file, target name, title, author, documentclass [howto/manual]).
latex_documents = [
('index', 'PythonRedditAPIWrapper.tex',
u'Python Reddit API Wrapper Documentation',
u'Bryce Boe', 'manual'),
]
# The name of an image file (relative to this directory) to place at the top of
# the title page.
#latex_logo = None
# For "manual" documents, if this is true, then toplevel headings are parts,
# not chapters.
#latex_use_parts = False
# If true, show page references after internal links.
#latex_show_pagerefs = False
# If true, show URL addresses after external links.
#latex_show_urls = False
# Documents to append as an appendix to all manuals.
#latex_appendices = []
# If false, no module index is generated.
#latex_domain_indices = True
# -- Options for manual page output --------------------------------------------
# One entry per manual page. List of tuples
# (source start file, name, description, authors, manual section).
man_pages = [
('index', 'pythonredditapiwrapper',
u'Python Reddit API Wrapper Documentation',
[u'Bryce Boe'], 1)
]
# If true, show URL addresses after external links.
#man_show_urls = False
# -- Options for Texinfo output ------------------------------------------------
# Grouping the document tree into Texinfo files. List of tuples
# (source start file, target name, title, author,
# dir menu entry, description, category)
texinfo_documents = [
('index', 'praw',
u'Python Reddit API Wrapper Documentation',
u'Bryce Boe', 'praw',
'Python Reddit API Wrapper', 'Python'),
]
# Documents to append as an appendix to all manuals.
#texinfo_appendices = []
# If false, no module index is generated.
#texinfo_domain_indices = True
# How to display URL addresses: 'footnote', 'no', or 'inline'.
#texinfo_show_urls = 'footnote'
praw-3.3.0/CHANGES.rst 0000666 0000000 0000000 00000112506 12603444270 013001 0 ustar root root .. begin_changelog_intro
Changelog
=========
The changes listed below are divided into four categories:
* **[BUGFIX]** Something was broken before, but is now fixed.
* **[CHANGE]** Other changes affecting user programs, such as the renaming of
a function.
* **[FEATURE]** Something new has been added.
* **[REDDIT]** A change caused by an upstream change from reddit.
Read `/r/changelog `_ to be notified of
upstream changes.
.. end_changelog_intro
Visit `the changelog on ReadTheDocs
`_ for properly
formatted links that link to the relevant place in the code overview.
.. begin_changelog_body
PRAW 3.3.0
----------
* **[BUGFIX]** Fixed login password prompt issue on windows (#485).
* **[BUGFIX]** Fixed unicode user-agent issue (#483).
* **[BUGFIX]** Fix duplicate request issue with comment and submission streams
(#501).
* **[BUGFIX]** Stopped :meth:`praw.objects.Redditor.friend` from raising
LoginRequired when using OAuth.
* **[BUGFIX]** Stopped a json-parsing error from occuring in cases where
reddit's response to a request was an empty string. :meth:`request_json`
will now simply return that empty string.
* **[BUGFIX]** Fix AssertionError when hiding and unhiding under OAuth, raised
by stacked scope decorators.
* **[BUGFIX]** Fix AttributeError when hiding and unhiding under OAuth without
the "identity" scope, raised when PRAW tried to evict the user's /hidden
page from the cache.
* **[CHANGE]** Added messages to all PRAW exceptions (#491).
* **[CHANGE]** Made it easier to send JSON dumps instead of form-encoded data
for http requests. Some api-v1 endpoints require the request body to be in
the json format.
* **[CHANGE]** Moved and deprecated
:meth:`praw.objects.LoggedInRedditor.get_friends` to
:class:`praw.AuthenticatedReddit`, leaving a pointer in its place.
Previously, `get_friends` was difficult to access because the only instance
of `LoggedInRedditor` was the reddit session's `user` attribute, which is
only instantiated if the user has the "identity" scope. By moving
`get_friends` to the reddit session, it can be used without having to
manipulate a :class:`praw.objects.Redditor` intsance's class.
* **[CHANGE]** Removed support for Python 2.6 and Python 3.2 (#532).
* **[FEATURE]** Added support for adding "notes" to your friends. Users with
reddit Gold can set the ``note`` parameter of
:meth:`praw.objects.Redditor.friend`. 300 character max enforced by reddit.
* **[FEATURE]** New :meth:`praw.objects.Redditor.get_friend_info` to see info
about one of your friends. Includes their name, ID, when you added them, and
if you have reddit Gold, your note about them.
PRAW 3.2.1
----------
* **[BUGFIX]** Fixed "multiple values for argument" error when solving
captchas.
PRAW 3.2.0
----------
* **[BUGFIX]** Fixed methods which require more than one OAuth scope.
* **[BUGFIX]** Fixed :meth:`praw.objects.WikiPage.remove_editor` raising
AssertionError when used through OAuth.
* **[BUGFIX]** Fixed :meth:`get_wiki_page` not sending the OAuth headers.
* **[CHANGE]** :meth:`praw.objects.Refreshable.refresh` will now always return
a fresh object. Previously, Subreddits and Redditors would use cache content
when available.
* **[CHANGE]** :class:`praw.objects.WikiPage` is now refreshable, and will
lazy-load.
* **[FEATURE]** Added methods :meth:`leave_moderator` and
:meth:`leave_contributor` to :class:`praw.__init__.AuthenticatedReddit`
and :class:`praw.objects.Subreddit`.
* **[FEATURE]** Added support for double stickies. Use boolean parameter
`bottom` to choose which sticky to set or get.
* **[FEATURE]** Added methods :meth:`praw.objects.Message.collapse` and
:meth:`praw.objects.Message.uncollapse`.
* **[FEATURE]** If an OAuth2 refresh token is available, and PRAW encounters
an "Invalid Token" error, it will attempt to refresh the token for you
automatically.
* **[REDDIT]** Fixed case where the user could not reply to private messages
with the `privatemessages` scope because the endpoint required the `submit`
scope. reddit has fixed this quirk, and PRAW now chooses the proper scope.
PRAW 3.1.0
----------
* **[BUGFIX]** Fixed method `get_random_submission` which failed to raise
the expected redirect exception.
* **[CHANGE]** Replaced instances of "liked" and "disliked" with "upvoted"
and "downvoted". The get_liked and get_disliked methods in
:class:`objects.Redditor` still exist, but point to the new methods.
* **[CHANGE]** Fixed the `subreddits` attribute of
:class:`praw.objects.Multireddit` being returned as a list of dicts.
It is now a list of Subreddit objects.
* **[CHANGE]** The `display_name` attr of :class:`objects.Subreddit`
and the `name` attr of :class:`objects.Redditor` are now set when
instantiated, and do not lazyload. To guarantee that these strings are
properly cased, the user must instantiate the object with `fetch=True`, or
call `object.refresh()`.
* **[FEATURE]** Added :meth:`get_comment_replies` and
:meth:`get_post_replies` to the :class:`praw.__init__.PrivateMessagesMixin`
PRAW 3.0.0
----------
* **[CHANGE]** All requests should now be through HTTPS.
* **[CHANGE]** All exceptions should be in the PRAW namespace. In particular,
there should be no more exceptions under the ``requests`` namespace.
* **[CHANGE]** All previously deprecated methods have been removed.
* **[CHANGE]** The ``display_name`` attribute on instances of
:class:`Subreddit` is now lazily loaded and will match the casing on the
site, not the casing used to construct the Subreddit instance. To quickly
fetch the name of an unloaded Subreddit, use ``str(sub_instance)``, or
``unicode(sub_instance)``.
* **[CHANGE]** Removed :class:`praw.Config` instance attribute ``is_reddit``.
* **[CHANGE]** :meth:`~praw.__init__.BaseReddit.evict` now returns the number
of items evicted.
* **[CHANGE]** Removed ``praw.ini`` parameter ``decode_html_entities``.
Entities, e.g., ``&``, ``<`` ``>``, are now always decoded.
* **[FEATURE]** Added :meth:`get_message` to fetch a single Message object
by its ID.
* **[FEATURE]** Added :meth:`get_sticky` to get a Subreddit's sticky post.
* **[FEATURE]** Refresh tokens can be specified in ``praw.ini`` via
``oauth_refresh_token``.
* **[FEATURE]** Added :meth:`create_multireddit` to create a new Multireddit.
* **[FEATURE]** Added :meth:`copy_multireddit` to copy a Multireddit.
* **[FEATURE]** Added :meth:`edit_multireddit` to edit an existing
Multireddit.
* **[FEATURE]** Added :meth:`get_multireddits` to get a list of Multireddits
belonging to the requested user.
* **[FEATURE]** Added :meth:`rename_multireddit` to rename an existing
Multireddit.
* **[FEATURE]** Added :meth:`set_suggested_sort` to change a submission's sort
order.
* **[FEATURE]** Added ``method`` as optional parameter to
:meth:`request_json`, so that a request method other than 'POST' can be
specified.
* **[FEATURE]** Added :meth:`praw.__init__.ReportMixin.hide` and
:meth:`praw.__init__.ReportMixin.unhide`, which accept up to 50 fullnames to
be hidden at one time. The appropriate methods in :class:`objects.Hideable`
now point here instead.
* **[FEATURE]** Added :meth:`add_editor`, :meth:`remove_editor`,
:meth:`get_settings` and :meth:`edit_settings` to :class:`WikiPage`
for managing editors and permission levels of individual wiki pages.
* **[REDDIT]** Removed ``send_feedback`` as it is no longer supported by
reddit.
* **[REDDIT]** Added ``DeprecationWarning`` to :meth:`login` as reddit will
stop supporting cookie-based authentication on 2015/08/03.
PRAW 2.1.21
-----------
* **[BUGFIX]** Fix assertion error in :meth:`.replace_more_comments` with
continue this thread links that have more than one child.
* **[BUGFIX]** :meth:`.refresh` on :class:`praw.objects.Submission` no longer
loses comment sort order and other manually specified parameters.
* **[REDDIT]** Add ``hide_ads`` as a parameter to
:meth:`~praw.__init__.ModConfigMixin.set_settings`.
* **[REDDIT]** :meth:`.create_redditor` no longer requires a captcha
* **[REDDIT]** :meth:`.create_subreddit` may require a captcha
PRAW 2.1.20
-----------
* **[BUGFIX]** Attempting to lazyload an attribute of a comment that has been
removed will explicitly raise a :meth:`praw.errors.InvalidComment`
exception, rather than an ``IndexError`` (issue #339).
* **[BUGFIX]** :meth:`.replace_more_comments` handles `continue this thread`
type ``MoreComments`` objects.
* **[FEATURE]** Added :meth:`praw.helpers.valid_redditors`.
* **[FEATURE]** Added a ``nsfw`` parameter to :meth:`.get_random_subreddit`
that permits fetching a random NSFW Subreddit. This change also supports
fetching these subreddits via ``get_subreddit('randnsfw')``.
* **[FEATURE]** Added a ``from_sr`` parameter to
:meth:`~.PrivateMessagesMixin.send_message` to send the private message from
a subreddit you moderate (Like the "From" dropdown box when composing a
message).
* **[FEATURE]** Added :class:`Multireddit`
* **[FEATURE]** Added :meth:`get_multireddit` to get a single multireddit obj
* **[FEATURE]** Added :meth:`get_my_multireddits` to get all multireddits
owned by the logged in user.
* **[FEATURE]** Added :meth:`get_multireddit` to :class:`Redditor` to quickly
get a multireddit belonging to that user.
* **[FEATURE]** :class:`praw.objects.Comment`,
:class:`praw.objects.Redditor`, and :class:`praw.objects.Submission` are now
gildable.
* **[FEATURE]** :class:`praw.objects.Comment` is now saveable.
* **[REDDIT]** Handle upstream change in reddit's OAuth2 scope parsing.
PRAW 2.1.19
-----------
* **[BUGFIX]** Support URLs in
:meth:`~praw.__init__.UnauthenticatedReddit.search`.
* **[BUGFIX]** Fix bug where ``json_dict`` was set to ``None`` when it should
not have been.
* **[BUGFIX]** Fix :meth:`.get_subreddit_recommendations` to work with the
updated API route.
* **[BUGFIX]** Track time between requests using ``timeit.default_timer``.
* **[CHANGE]** :meth:`.get_friends` and :meth:`~.Subreddit.get_banned` once
again work.
* **[CHANGE]** :meth:`.is_root` no longer requires fetching submission
objects.
* **[REDDIT]** Support ``thing_id`` lists in :meth:`.get_info`.
* **[FEATURE]** Support providing HTTPS proxies, that is, proxies specific to
handling HTTPS requests.
* **[FEATURE]** :meth:`~praw.objects.Redditor.get_liked` and
:meth:`~praw.objects.Redditor.get_disliked` now accept additional
arguments, e.g., limit.
* **[FEATURE]** Add :meth:`.get_messages` for specifically retreiving messages
(not replies).
* **[REDDIT]** Add ``collapse_deleted_comments`` as a parameter to
:meth:`~praw.__init__.ModConfigMixin.set_settings`.
* **[REDDIT]** :meth:`~praw.__init__.ModOnlyMixin.get_stylesheet` now supports
using the ``modconfg`` OAuth scope.
* **[REDDIT]** :meth:`~praw.__init__.ModOnlyMixin.get_stylesheet` no longer
accepts the ``prevstyle`` argument.
PRAW 2.1.18
-----------
* **[FEATURE]** Add the :meth:`~praw.objects.Subreddit.get_flair_choices`
method to the :class:`.Submission` class, which returns the choices for user
flair in the subreddit and the current flair of the authenticated user.
* **[FEATURE]** Add the :meth:`~praw.objects.Submission.get_flair_choices`
method to the :class:`.Submission` class, which returns the choices for
link flair on this submission as well as it's current flair.
* **[BUGFIX]** Fix python3 issue with ``func_defaults``.
* **[REDDIT]** Avoid exceptions caused by upstream changes by reddit with
respect to conflicts between json attributes and
:class:`.RedditContentObject` properties. In such cases, the attribute from
reddit will be suffixed with "_reddit".
PRAW 2.1.17
-----------
* **[BUGFIX]** Remove the built-in ``score`` property from comments as reddit
provides that attribute as of 2014/06/18.
* **[FEATURE]** :meth:`~praw.__init__.SubmitMixin.submit` now supports
a ``resubmit`` argument to allow the submission of an already submitted url.
PRAW 2.1.16
-----------
* **[BUGFIX]** Fix incorrect username when building Redditor objects from
wikipage submissions.
* **[CHANGE]** Increase the dependency of ``update_checker`` to 0.10 or later
to prevent ImportWarnings (issue 291).
* **[CHANGE]** :meth:`~.Subreddit.get_banned` now takes a ``user_only``
argument (default: ``True``). When the value is explicitly passed as
``False`` the return value is not a generator of ``Redditor`` objects, but a
generator of dictionaries whose ``name`` key corresponds to the ``Redditor``
object and whose ban-note is at key ``note``.
* **[FEATURE]** Enable gathering of duplicate submissions for a Submission
object (issue 290).
* **[FEATURE]** Add :meth:`praw.__init__.AuthenticatedReddit.delete`.
PRAW 2.1.15
-----------
* **[FEATURE]** Add ``save`` OAuth scope to
:meth:`~praw.objects.Saveable.save` and
:meth:`~praw.objects.Saveable.unsave`.
* **[BUGFIX]** Fix Google AppEngine bug with ``platform.platform``.
* **[REDDIT]** Using :meth:`~praw.__init__.UnauthenticatedReddit.get_flair`
now requires moderator access. See `this /r/redditdev thread
`_
* **[CHANGE]** Increase the dependency of ``update_checker`` to 0.9 or later.
PRAW 2.1.14
-----------
* **[CHANGE]** Increase the dependency of ``six`` to 1.4 or later.
PRAW 2.1.13
-----------
* **[FEATURE]** Support building wheel binary distributions.
* **[FEATURE]** :meth:`~praw.__init__.UnauthenticatedReddit.get_submission`
and :meth:`~praw.objects.Submission.from_url` now supports url parameters.
Both included within the url and explicitly via the "params" argument.
* **[CHANGE]** The dependency on ``update_checker`` has been increased
to >= 0.8.
* **[REDDIT]** Add support for changes to UserLists on reddit.
* **[REDDIT]** Using get_flair_list now requires moderator access. See `this
/r/redditdev thread `_
* **[BUGFIX]** Fix configuration parsing for ``store_json_result``.
* **[BUGFIX]** Fix duplicate bug in :class:`.BoundedSet`.
PRAW 2.1.12
-----------
* **[FEATURE]** Add :attr:`.json_dict` to :class:`.RedditContentObject`.
* **[FEATURE]** You can now give configuration settings directly when
instantiating a :class:`.BaseReddit` object. See `the configuration files
`_
* **[BUGFIX]** Fixed a bug that caused an ``AttributeError`` to be raised when
using a deprecated method.
PRAW 2.1.11
-----------
* **[FEATURE]** Added :meth:`~praw.objects.Moderatable.ignore_reports` and
:meth:`~praw.objects.Moderatable.unignore_reports` to :class:`.Comment` and
:class:`.Submission`.
* **[BUGFIX]** The ``history`` scope is not required for
:meth:`~praw.objects.Redditor.get_comments`, :meth:`.get_overview` and
:meth:`.get_submitted` despite the official `reddit documentation
`_ saying so.
Redditors may choose to make their voting record public, in which case no
authentication is required for :meth:`.get_disliked` or :meth:`.get_liked`.
The ``history`` scope requirement for the above-mentioned methods has been
removed.
PRAW 2.1.10
-----------
* **[FEATURE]** Add :meth:`.get_new_subreddits` to return the newest
subreddits.
* **[FEATURE]** Add the arguments ``save`` and ``send_replies`` to
:meth:`~praw.__init__.SubmitMixin.submit`.
* **[FEATURE]** Create and add ``history`` scope to
:meth:`~praw.objects.Redditor.get_comments`, :meth:`.get_disliked`,
:meth:`.get_liked`, :meth:`.get_overview`, :meth:`.get_submitted`,
:meth:`.get_hidden` and :meth:`.get_saved`.
PRAW 2.1.9
----------
* **[FEATURE]** :meth:`mark_as_nsfw` and :meth:`unmark_as_nsfw` can now be
used if the currently authenticated user is the author of the Submission.
* **[FEATURE]** :meth:`~.ModOnlyMixin.get_contributors` can now be used for
accessing the contributor list of protected/private subreddits without
requiring moderator access. See issue `issue 246
`_.
* **[BUGFIX]** Fixed :class:`.Comment` erroneously having the methods
``mark_as_nsfw`` and ``unmark_as_nsfw``, despite comments not being able to
be marked as NSFW.
* **[REDDIT]** Update :meth:`.get_subreddit_recommendations` to handle changed
returned data format.
PRAW 2.1.8
----------
* **[FEATURE]** Add :meth:`.get_subreddit_recommendations` to get a
recommendation of subreddits based on a list of provided subreddits.
* **[FEATURE]** :class:`.Subreddit` now has an ``__repr__`` method. So it's
now possible to identify what subreddit the object represents from the human
readable representation of the object.
* **[FEATURE]** Add :meth:`praw.__init__.UnauthenticatedReddit.get_rising`
that returns the rising listing of the front page in the context of the
currently logged-in user (if any).
PRAW 2.1.7
----------
* **[FEATURE]** Add methods :meth:`.set_contest_mode` and
:meth:`.unset_contest_mode` to :class:`.Submission`, for (un)setting of
contest modes. See `this Reddit post
`_
for information about contest mode.
* **[FEATURE]** Move methods :meth:`.get_liked` and :meth:`.get_liked` to
:class:`.Redditor` from :class:`.LoggedInRedditor`. Redditors can make their
likes and dislikes public. Having :meth:`.get_liked` and :meth:`.get_liked`
on :class:`.Redditor` allows PRAW to access this info.
* **[FEATURE]** The ``has_fetched`` attribute has been added to all objects
save :class:`.Reddit`, see the `lazy loading
`_ page in
PRAW's documentation for more details.
* **[BUGFIX]** Fixed a bug that caused the ``timeout`` configuration setting
to always be the default 45 irrespective of what it was set to in
``praw.ini``.
PRAW 2.1.6
----------
* **[BUGFIX]** PRAW automatically retries failed requests to reddit if the
error is likely to be a temporary one. This resulted in spamming reddit if
the error occurred after content had been saved to reddit's database.
Therefore the following methods will no longer retry failed request
:meth:`~praw.__init__.ModConfigMixin.upload_image`,
:meth:`~praw.__init__.PrivateMessagesMixin.send_message`,
:meth:`~praw.__init__.SubmitMixin.submit`,
:meth:`~praw.__init__.UnauthenticatedReddit.send_feedback`,
:meth:`~praw.objects.Inboxable.reply` and
:meth:`~praw.objects.Submission.add_comment`.
Additionally :meth:`~praw.__init__.BaseReddit.request_json` now has the
``retry_on_error`` argument, which if set to ``True`` will prevent retries
of the request if it fails.
PRAW 2.1.5
----------
* **[FEATURE]** :meth:`~praw.__init__.AuthenticatedReddit.select_flair` method
added, can be used to change your flair without moderator access on
subreddits that allow it.
* **[FEATURE]** Add :meth:`~praw.objects.Submission.sticky` and
:meth:`~praw.objects.Submission.unsticky` to sticky and unsticky a
submission to the top of a subreddit.
* **[FEATURE]** Add arguments syntax and period to
:meth:`~praw.__init__.UnauthenticatedReddit.search`.
* **[FEATURE]** PRAW will now try to use the http_proxy environment variable
for proxy settings, if no proxy is set in the configuration file.
* **[BUGFIX]** :meth:`~praw.__init__.ModOnlyMixin.get_stylesheet` erroneously
required moderator access. It now just requires that the authenticated user
has access to the subreddit.
* **[BUGFIX]** Fix bug that prevented the usage of
:meth:`~praw.objects.Subreddit.search` when called from :obj:`.Subreddit`.
PRAW 2.1.4
----------
* **[FEATURE]** :meth:`~praw.__init__.ModOnlyMixin.get_mod_mail` can now be
used to get moderator mail from individual subreddits, instead of all
moderated subreddits, just like
:meth:`~praw.__init__.ModOnlyMixin.get_mod_queue`.
* **[FEATURE]** Added :meth:`~.get_mentions` which is a :meth:`.get_content`
generator for username mentions. Only usable if the authenticated user has
gold.
* **[BUGFIX]** Fixed an error in
:meth:`~praw.__init__.ModOnlyMixin.get_mod_queue`,
:meth:`~praw.__init__.ModOnlyMixin.get_reports`,
:meth:`~praw.__init__.ModOnlyMixin.get_spam` and
:meth:`~praw.__init__.ModOnlyMixin.get_unmoderated` when calling them from
:obj:`.Reddit` without giving the subreddit argument explicitly.
* **[REDDIT]** New fields ``public_traffic`` added to
:meth:`~praw.__init__.ModConfigMixin.set_settings` as per the upstream
change.
PRAW 2.1.3
----------
* **[FEATURE]** Added :meth:`.UnauthenticatedReddit.get_random_submission`.
* **[BUGFIX]** Verify that ``sys.stdin`` has ``closed`` attribute before
checking if the stream is closed.
PRAW 2.1.2
----------
* **[BUGFIX]** Avoid occasionally processing duplicates in
:meth:`~praw.helpers.comment_stream`.
* **[CHANGE]** :meth:`~praw.helpers.comment_stream` yields comments in a
consitent order (oldest to newest).
* **[FEATURE]** Support fetching submission listings for domains via
:meth:`.get_domain_listing`.
PRAW 2.1.1
----------
* **[FEATURE]** Added :meth:`praw.helpers.comment_stream` to provide a
neverending stream of new comments.
* **[BUGFIX]** Don't cache requests whose responses will result in an
exception. This bug was introduced in version 2.1.0.
PRAW 2.1.0
----------
* **[FEATURE]** PRAW now supports proper rate-limiting and shared caching when
running multiple processes. See :ref:`multiprocess` for usage information.
* **[CHANGE]** Remove explicit ``limit`` parameters from functions that
utilize :meth:`.get_content` but don't alter the limit. This change will
result in broken code if the calling code utilizes positional instead of
keyword arguments.
* **[CHANGE]** :meth:`~.UnauthenticatedReddit.get_flair` returns ``None`` when
the redditor does not exist.
* **[CHANGE]** Deprecated :meth:`.get_all_comments`. Use
:meth:`~.UnauthenticatedReddit.get_comments` with ``all`` as the subreddit
argument.
* **[CHANGE]** Deprecated :meth:`.get_my_reddits`. Use
:meth:`.get_my_subreddits` instead.
* **[CHANGE]** Deprecated :meth:`.get_popular_reddits`. Use
:meth:`.get_popular_subreddits` instead.
* **[BUGFIX]** Allow editing non-top-level wiki pages fetched using
:meth:`.Subreddit.get_wiki_page`.
* **[BUGFIX]** Fix a bug in :meth:`~Subreddit.submit`. See
https://github.com/praw-dev/praw/issues/213.
* **[BUGFIX]** Fix a python 3.3 bug in
:meth:`~.Subreddit.upload_image`. See
https://github.com/praw-dev/praw/issues/211.
PRAW 2.0.15
-----------
* **[FEATURE]** PRAW can now use a proxy server, see `#206
`_. The parameter
``http_proxy`` (optional) has been added to the configuration file to define
a proxy server in the form host:ip or http://login:user@host:ip.
PRAW 2.0.14
-----------
* **[BUGFIX]** Prevent potential invalid redirect exception when using
:meth:`~.Subreddit.get_wiki_page`.
PRAW 2.0.13
-----------
* **[FEATURE]** Added :meth:`.get_submissions` to batch convert fullnames
(``t3_bas36id``) into :class:`.Submission` objects.
* **[FEATURE]** Added :meth:`~.Subreddit.get_wiki_banned` to get a list of
wiki banned users.
* **[FEATURE]** Added :meth:`.add_wiki_ban` and
:meth:`.remove_wiki_ban` to manage the list of wiki banned users.
* **[FEATURE]** Added :meth:`~.Subreddit.get_wiki_contributors` to get a list
of wiki contributors.
* **[FEATURE]** Added :meth:`.add_wiki_contributor` and
:meth:`.remove_wiki_contributor` to manage the list of wiki contributors.
* **[FEATURE]** Added :meth:`~.Subreddit.get_wiki_page` to fetch an individual
WikiPage.
* **[FEATURE]** Added :meth:`~.Subreddit.get_wiki_pages` to get a list of
WikiPage objects.
* **[FEATURE]** Wiki pages can be edited through either the
:meth:`.WikiPage.edit` method of an already existing WikiPage object, or
through the :meth:`~.Subreddit.edit_wiki_page` function.
:meth:`~.Subreddit.edit_wiki_page` is also used to create new wiki pages.
* **[CHANGE]** Deprecated :meth:`.ban`, :meth:`.unban`,
:meth:`.make_contributor`, and :meth:`.make_moderator` in favor of the
consistently named :meth:`.add_ban`, :meth:`.remove_ban`,
:meth:`.add_contributor`, and :meth:`.add_moderator` respectively.
PRAW 2.0.12
-----------
* **[FEATURE]** PRAW can now decode HTML entities, see `#186
`_. The parameter
``decode_html_entities`` (default ``False``) has been added to the
configuration file to control whether this feature is activated.
* **[FEATURE]** Add :exc:`.InvalidSubreddit` exception which is raised when
attempting to get a listing for a nonexistent subreddit.
* **[FEATURE]** All functions that use the :meth:`.get_content` generator
function now take ``*args, **kwargs``.
* **[BUGFIX]** Requesting user specific data such as :meth:`.get_unread` while
OAuthenticated as a user, then switching OAuthentication to another user and
re-requesting the data within ``cache_timeout`` would return the cached
results matching the previously authenticated user.
* **[BUGFIX]** :meth:`.friend` and :meth:`.unfriend` used to raise an
``AttributeError`` when called without user/pswd authentication. It now
properly raises :exc:`.LoginRequired`.
PRAW 2.0.11
-----------
* **[FEATURE]** Add the ``raise_captcha_exception`` argument to
:obj:`.RequireCaptcha` decorator. When ``raise_captcha_exception`` is
``True`` (default ``False``), PRAW wil not prompt for the captcha
information but instead raise a :exc:`.InvalidCaptcha` exception.
* **[REDDIT]** An `upstream change
`_
has split new and rising into their own independent listings. Use the new
:meth:`.praw.objects.Subreddit.get_rising` method instead of the old
:meth:`.get_new_by_rising` and :meth:`~.Subreddit.get_new` instead of
:meth:`.get_new_by_date`.
* **[CHANGE]** The dependency on ``update_checker`` has been increased from >=
0.4 to >= 0.5.
* **[BUGFIX]** After inviting a moderator invite, the cached set of moderated
subreddits would not be updated with the new subreddit. Causing
:func:`.restrict_access` to prevent performing moderater actions in the
subreddit.
PRAW 2.0.10
-----------
* **[FEATURE]** Add :meth:`~.Subreddit.delete_flair` method to
:class:`.Subreddit` and :class:`.Reddit` objects.
PRAW 2.0.9
----------
* **[FEATURE]** Add parameter ``update_user`` (default False) to
:meth:`.get_unread` if it and ``unset_has_mail`` are both True, then the
``user`` object in the :class:`.Reddit` object will have its ``has_mail``
attribute set to ``False``.
* **[FEATURE]** Add :meth:`.get_friends` and :meth:`.get_blocked` to
:class:`.LoggedInRedditor`.
* **[FEATURE]** Add the *read* scope to :meth:`.get_all_comments` in the
:class:`.Reddit` object.
* **[FEATURE]** Add the *read* scope to :meth:`~.Subreddit.get_comments` and
the subreddit listings such as :meth:`~.Subreddit.get_new` in the
:meth:`.Reddit` and :meth:`.Subreddit` object.
* **[BUGFIX]** Fix bug in :meth:`.MoreComments.comments`.
* **[CHANGE]** Break :meth:`.get_friends` and :meth:`~.Subreddit.get_banned`
until there is an upstream fix to mean that does not require ssl for those
endpoints.
PRAW 2.0.8
----------
* **[FEATURE]** Add ``unset_has_mail`` parameter to :meth:`.get_unread`, if
it's set to ``True``, then it will set ``has_mail`` for the logged-in user
to ``False``.
PRAW 2.0.7
----------
* **[REDDIT]** A `reddit update
`_
broke PRAW's ability to use :meth:`.login` if it was authenticated as a
logged-in user. This update adds the ability to re-login.
* **[CHANGE]** :meth:`~.Subreddit.get_flair_list` can now be used when
logged-in as a regular user, being logged in as a mod of the subreddit is no
longer required.
PRAW 2.0.6
----------
* **[FEATURE]** Add the :meth:`~.Subreddit.get_unmoderated` method to
:class:`.Subreddit` and base reddit objects. This returns a listings of
submissions that haven't been approved/removed by a moderator.
PRAW 2.0.5
----------
* **[FEATURE]** Add the parameter ``gilded_only`` to
:meth:`~.Subreddit.get_comments` and :meth:`.get_all_comments` methods in
:class:`.Subreddit` and base reddit objects. If ``gilded_only`` is set to
``True``, then only gilded comments will be returned.
* **[FEATURE]** Add :meth:`~.Reddit.get_comments` method to Reddit object. It
works like :meth:`~.Subreddit.get_comments` in Subreddit objects except it
takes the subreddit as the first argument.
PRAW 2.0.4
----------
* **[BUGFIX]** Fix python 3 failure within the test suite introduced in 2.0.3.
PRAW 2.0.3
----------
* **[FEATURE]** Add :meth:`~.Subreddit.delete_image` method to
:class:`.Subreddit` objects (also callable on the base reddit object with
the subreddit as the first argument).
* **[CHANGE]** PRAW now requires version 0.4 of ``update_checker``.
PRAW 2.0.2
----------
* **[BUGFIX]** Fixed bug when comparing :class:`.MoreComments` classes in
Python 3.x.
PRAW 2.0.1
----------
* **[BUGFIX]** Fix bug with ``limit=None`` in method
:meth:`.replace_more_comments` in :class:`.Submission` object.
PRAW 2.0.0
----------
* **[FEATURE]** Support reddit OAuth2 scopes (passwordless authentication).
See :ref:`oauth` for usage information.
* **[FEATURE]** Maximize the number of items fetched when explicit limits are
set thus reducing the number of requests up to 4x in some cases.
* **[FEATURE]** Add the following API methods to :class:`.Subreddit` objects
(also callable on the base reddit object with the subreddit as the first
argument):
* :meth:`~.Subreddit.accept_moderator_invite` -- accept a pending moderator
invite.
* :meth:`~.Subreddit.get_mod_log` -- return ModAction objects for each item
(run vars(item), to see available attributes).
* :meth:`~.Subreddit.configure_flair` -- interface to subreddit flair
options.
* :meth:`~.Subreddit.upload_image` -- upload an image for the subreddit
header or use in CSS.
* **[FEATURE]** Support 'admin' and `special` distinguishing of items via
:meth:`.distinguish`.
* **[FEATURE]** Ability to specify max-character limit for object-to-string
representations via ``output_chars_limit`` in ``praw.ini``.
* **[CHANGE]** Remove ``comments_flat`` property of :class:`.Submission`
objects. The new :meth:`praw.helpers.flatten_tree` can be used to flatten
comment trees.
* **[CHANGE]** Remove ``all_comments`` and ``all_comments_flat`` properties of
Submission objects. The now public method :meth:`.replace_more_comments`
must now be explicitly called to replace instances of :class:`.MoreComments`
within the comment tree.
* **[CHANGE]** The ``content_id`` attribute of :class:`.RedditContentObject`
has been renamed to :attr:`.fullname`.
* **[CHANGE]** The ``info`` base Reddit instance method has been renamed to
:meth:`.get_info`.
* **[CHANGE]** ``get_saved_links`` has been renamed to :meth:`.get_saved` and
moved to the :class:`.LoggedInRedditor` (``r.user``) namespace.
* **[CHANGE]** The Subreddit ``get_info`` method has been renamed to
:meth:`.from_url` and supports parameters for changing the number of
comments to fetch and by what sort method.
* **[CHANGE]** The :meth:`.get_submission` method also now supports parameters
for changing the number of comments to fetch and by what sort method.
* **[CHANGE]** :meth:`.mark_as_nsfw` and :meth:`.unmark_as_nsfw` can no longer
be used on :class:`.Subreddit` objects. Use ``update_settings(nsfw=True)``
instead.
* **[CHANGE]** Remove depreciated method ``compose_message``.
* **[CHANGE]** Refactored and add a number of exception classes (`docs
`_,
`source `_)
This includes the renaming of:
* ``BadCaptcha`` to :exc:`.InvalidCaptcha`.
* ``NonExistantUser`` to :exc:`.InvalidUser`.
* **[CHANGE]** Simplify content-limit handling and remove the following
no-longer necessary parameters from ``praw.ini``:
* ``comment_limit``
* ``comment_sort``
* ``default_content_limit``
* ``gold_comments_max``
* ``more_comments_max``
* ``regular_comments_max``
* **[CHANGE]** Move the following methods from :class:`.LoggedInRedditor` to
base reddit object.
* :meth:`.get_unread`
* :meth:`.get_inbox`
* :meth:`~praw.__init__.ModOnlyMixin.get_mod_mail`
* :meth:`.get_sent`
PRAW 1.0.16
-----------
* **[FEATURE]** Add support for /r/random.
PRAW 1.0.15
-----------
* **[FEATURE]** Added the functions :meth:`~praw.objects.Hideable` and
:meth:`~praw.objects.Hideable.unhide` to :class:`.Submission`.
* **[FEATURE]** Added function :meth:`.is_username_available` to
:class:`.Reddit`.
PRAW 1.0.14
-----------
* **[FEATURE]** Extended functionality to Python 3.3.
PRAW 1.0.13
-----------
* **[BUGFIX]** Fixed non-equality bug. Before comparing two PRAW objects with
!= would always return ``True``.
* **[FEATURE]** Added the function ``my_contributions`` to
:class:`.LoggedInRedditor`. Use this to find the subreddits where the user
is an approved contributor.
* **[CHANGE]** Voting on something will now force the next call to
:meth:`.get_liked` or :meth:`.get_disliked` to re-query from the reddit
rather than use the cache.
PRAW 1.0.12
-----------
* **[FEATURE]** Support for optional 'prev' values added.
PRAW 1.0.11
-----------
* **[FEATURE]** Added :meth:`~.Subreddit.get_top` to :class:`.Reddit`.
PRAW 1.0.10
-----------
* **[FEATURE]** Allow for the OS to not be identified when searching for
``praw.ini``.
PRAW 1.0.9
----------
* **[FEATURE]** Added the functions :meth:`.mark_as_nsfw` and
:meth:`.unmark_as_nsfw` to :class:`.Submission` and :class:`.Subreddit`.
PRAW 1.0.8
----------
* **[CHANGE]** Printing a :class:`.Submission` to ``sys.stdout`` will now
limit the output length to 80 chars, just like :class:`.Comment` does.
* **[FEATURE]** The maximum amount of comments that can be retrieved alongside
a submission for gold and regular accounts has been exported to
``praw.ini``.
* **[REDDIT]** Checks for login/moderator in
:meth:`~.Subreddit.get_moderators` and :meth:`~.Subreddit.get_flair` for
Subreddit are no longer necessary.
* **[FEATURE]** Added the function :meth:`.refresh` to :class:`.Submission`,
:class:`.Subreddit` and :class:`.Redditor`. This will make PRAW re-query
either reddit or the cache, depending on whether the last call was within
``cache_timeout``, for the latest values and update the objects values.
* **[FEATURE]** Added functions :meth:`.get_liked`, :meth:`.get_disliked` and
:meth:`.get_hidden` to :class:`.LoggedInRedditor` to allow you to get the
Things the user has upvoted, downvoted or hidden.
* **[BUGFIX]** Temporary bugfix until prevstyles become optional.
* **[FEATURE]** Added prevstyle to set_stylesheet requests.
* **[BUGFIX]** Putting in ``user`` or ``pswd`` to ``praw.ini`` without values
will no longer make it impossible to login.
* **[FEATURE]** You can now have just ``user`` filled out in ``praw.ini`` to
ease login while remaining safe.
PRAW 1.0.7
----------
* **[REDDIT]** New fields ``prev_description_id`` and
``prev_public_description_id`` added to
:meth:`~praw.__init__.ModConfigMixin.set_settings` as per the upstream
change.
PRAW 1.0.6
----------
* **[CHANGE]** ``compose_message`` has been renamed to
:meth:`~.PrivateMessagesMixin.send_message` in :class:`.Reddit` and
:class:`.LoggedInRedditor`. ``compose_message`` is now depreciated and will
be removed around the end of 2012.
PRAW 1.0.5
----------
* **[FEATURE]** :meth:`.get_popular_reddits` added to :class:`.Reddit`.
PRAW 1.0.4
----------
* **[FEATURE]** Added :meth:`~.UnauthenticatedReddit.get_new` and
:meth:`~.UnauthenticatedReddit.get_controversial` to :class:`.Reddit`.
PRAW 1.0.3
----------
* **[REDDIT]** The logged in / moderator checks for ``flair_list`` in
:class:`.Reddit` are no longer needed and have been removed.
PRAW 1.0.2
----------
* **[FEATURE]** :attr:`.score` property wrapped function have been added to
:class:`.Comment`.
PRAW 1.0.1
----------
* **[FEATURE]** ``require_moderator`` decorator now supports multi-reddits.
* **[FEATURE]** Rudimentary logging of the http requests have been
implemented.
PRAW 1.0.0
----------
.. end_changelog_body
praw-3.3.0/praw.egg-info/ 0000755 0000000 0000000 00000000000 12606362001 013623 5 ustar root root praw-3.3.0/praw.egg-info/top_level.txt 0000666 0000000 0000000 00000000005 12603444400 016355 0 ustar root root praw
praw-3.3.0/praw.egg-info/PKG-INFO 0000666 0000000 0000000 00000013024 12603444400 014725 0 ustar root root Metadata-Version: 1.1
Name: praw
Version: 3.3.0
Summary: PRAW, an acronym for `Python Reddit API Wrapper`, is a python package that allows for simple access to reddit's API.
Home-page: https://praw.readthedocs.org/
Author: Bryce Boe
Author-email: bbzbryce@gmail.com
License: GPLv3
Description: .. _main_page:
PRAW: The Python Reddit API Wrapper
===================================
.. begin_description
.. image:: https://travis-ci.org/praw-dev/praw.svg?branch=master
:target: https://travis-ci.org/praw-dev/praw
.. image:: https://coveralls.io/repos/praw-dev/praw/badge.svg?branch=master
:target: https://coveralls.io/r/praw-dev/praw?branch=master
PRAW, an acronym for "Python Reddit API Wrapper", is a python package that
allows for simple access to reddit's API. PRAW aims to be as easy to use as
possible and is designed to follow all of `reddit's API rules
`_. You have to give a useragent
that follows the rules, everything else is handled by PRAW so you needn't worry
about violating them.
Here's a quick peek, getting the first 5 submissions from
the 'hot' section of the 'opensource' subreddit:
.. code-block:: pycon
>>> import praw
>>> r = praw.Reddit(user_agent='my_cool_application')
>>> submissions = r.get_subreddit('opensource').get_hot(limit=5)
>>> [str(x) for x in submissions]
This will display something similar to the following:
.. code-block:: pycon
['10 :: Gun.io Debuts Group Funding for Open Source Projects\n Gun.io',
'24 :: Support the Free Software Foundation',
'67 :: The 10 Most Important Open Source Projects of 2011',
'85 :: Plan 9 - A distributed OS with a unified communicatioprotocol I/O...',
'2 :: Open-source webOS is dead on arrival ']
.. end_description
.. begin_installation
.. _installation:
Installation
------------
PRAW is supported on python 2.7, 3.3, 3.4 and 3.5. The recommended way to
install is via `pip `_
.. code-block:: bash
$ pip install praw
If you want to run the development version of PRAW try:
.. code-block:: bash
$ pip install --upgrade https://github.com/praw-dev/praw/archive/master.zip
If you don't have ``pip`` installed, then the Hitchhiker's Guide to Python has
a section for setting it up on `Windows
`_,
`Mac `_ and
`Linux `_.
There is also a `Stack overflow question on installing pip on Windows
`_
that might prove helpful.
Alternatively you can do it via
`easy_install `_
.. code-block:: bash
$ easy_install praw
.. end_installation
.. begin_support
Support
-------
The official place to ask questions about PRAW, reddit and other API wrappers
is `r/redditdev `_. If the question is more
about Python and less about PRAW, such as "what are generators", then you're
likely to get more, faster and more in-depth answers in `r/learnpython
`_.
If you've uncovered a bug or have a feature request, then `make an issue on our
project page at github `_.
Please note that this project is released with a `Contributor Code of Conduct
`_. By
participating in this project you agree to abide by its terms.
.. end_support
Documentation
-------------
PRAW's documentation, which includes tutorials, information on configuring PRAW
and other good stuff can be found at `readthedocs
`_.
.. begin_license
License
-------
All of the code contained here is licensed by
`the GNU GPLv3 `_.
.. end_license
Keywords: reddit api wrapper
Platform: UNKNOWN
Classifier: Development Status :: 5 - Production/Stable
Classifier: Environment :: Console
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: GNU General Public License (GPL)
Classifier: Natural Language :: English
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python :: 2.7
Classifier: Programming Language :: Python :: 3.3
Classifier: Programming Language :: Python :: 3.4
Classifier: Programming Language :: Python :: 3.5
Classifier: Topic :: Utilities
praw-3.3.0/praw.egg-info/SOURCES.txt 0000666 0000000 0000000 00000030151 12603444402 015516 0 ustar root root CHANGES.rst
COPYING
MANIFEST.in
README.rst
setup.cfg
setup.py
docs/Makefile
docs/conf.py
docs/index.rst
docs/_static/CodeUrl.png
docs/_static/CreateApp.png
docs/pages/changelog.rst
docs/pages/code_overview.rst
docs/pages/comment_parsing.rst
docs/pages/configuration_files.rst
docs/pages/contributor_guidelines.rst
docs/pages/exceptions.rst
docs/pages/faq.rst
docs/pages/getting_started.rst
docs/pages/lazy-loading.rst
docs/pages/multiprocess.rst
docs/pages/oauth.rst
docs/pages/useful_scripts.rst
docs/pages/writing_a_bot.rst
praw/__init__.py
praw/decorator_helpers.py
praw/decorators.py
praw/errors.py
praw/handlers.py
praw/helpers.py
praw/internal.py
praw/multiprocess.py
praw/objects.py
praw/praw.ini
praw/settings.py
praw.egg-info/PKG-INFO
praw.egg-info/SOURCES.txt
praw.egg-info/dependency_links.txt
praw.egg-info/entry_points.txt
praw.egg-info/requires.txt
praw.egg-info/top_level.txt
tests/__init__.py
tests/helper.py
tests/test_authenticated_reddit.py
tests/test_comments.py
tests/test_config.py
tests/test_decorators.py
tests/test_flair.py
tests/test_images.py
tests/test_internal.py
tests/test_message.py
tests/test_multireddit.py
tests/test_oauth2_reddit.py
tests/test_redditor.py
tests/test_submission.py
tests/test_subreddit.py
tests/test_unauthenticated_reddit.py
tests/test_wiki_page.py
tests/cassettes/test__to_reddit_list_with_object.json
tests/cassettes/test_accept_moderator_invite_fail.json
tests/cassettes/test_add_and_remove_subreddit.json
tests/cassettes/test_add_comment.json
tests/cassettes/test_add_link_flair.json
tests/cassettes/test_add_link_flair_to_invalid_subreddit.json
tests/cassettes/test_add_link_template.json
tests/cassettes/test_add_moderator__failure.json
tests/cassettes/test_add_remove_friends.json
tests/cassettes/test_add_remove_moderator_oauth.json
tests/cassettes/test_add_remove_wiki_ban_contributor_oauth.json
tests/cassettes/test_add_remove_wiki_editor_oauth.json
tests/cassettes/test_add_reply.json
tests/cassettes/test_add_user_flair__css_only.json
tests/cassettes/test_add_user_flair__text_and_css.json
tests/cassettes/test_add_user_flair__text_only.json
tests/cassettes/test_add_user_flair_to_invalid_user.json
tests/cassettes/test_add_user_template.json
tests/cassettes/test_all_comments.json
tests/cassettes/test_approve_and_remove.json
tests/cassettes/test_attribute_error.json
tests/cassettes/test_ban.json
tests/cassettes/test_cache.json
tests/cassettes/test_clear_link_templates.json
tests/cassettes/test_clear_user_flair.json
tests/cassettes/test_clear_user_templates.json
tests/cassettes/test_comments_contains_no_noncomment_objects.json
tests/cassettes/test_comments_method.json
tests/cassettes/test_comparison.json
tests/cassettes/test_contributors.json
tests/cassettes/test_copy_multireddit.json
tests/cassettes/test_create_and_delete_multireddit.json
tests/cassettes/test_create_and_delete_redditor.json
tests/cassettes/test_create_subreddit.json
tests/cassettes/test_decode_entities.json
tests/cassettes/test_delete_flair.json
tests/cassettes/test_delete_header.json
tests/cassettes/test_delete_image.json
tests/cassettes/test_delete_invalid_image.json
tests/cassettes/test_delete_invalid_params.json
tests/cassettes/test_display_name_lazy_update.json
tests/cassettes/test_display_name_refresh.json
tests/cassettes/test_distinguish_and_undistinguish.json
tests/cassettes/test_duplicate_login.json
tests/cassettes/test_edit.json
tests/cassettes/test_edit_multireddit.json
tests/cassettes/test_edit_oauth.json
tests/cassettes/test_edit_wiki_page.json
tests/cassettes/test_edit_wiki_page_editors.json
tests/cassettes/test_edit_wiki_page_settings.json
tests/cassettes/test_equality.json
tests/cassettes/test_flair_csv_and_flair_list.json
tests/cassettes/test_flair_csv_empty.json
tests/cassettes/test_flair_csv_many.json
tests/cassettes/test_flair_csv_optional_args.json
tests/cassettes/test_flair_csv_requires_user.json
tests/cassettes/test_friends_oauth.json
tests/cassettes/test_front_page_comment_replies_are_none.json
tests/cassettes/test_get_access_information.json
tests/cassettes/test_get_access_information_with_invalid_code.json
tests/cassettes/test_get_banned__note.json
tests/cassettes/test_get_comment_replies.json
tests/cassettes/test_get_comments.json
tests/cassettes/test_get_comments_gilded.json
tests/cassettes/test_get_comments_permalink.json
tests/cassettes/test_get_contributors_private.json
tests/cassettes/test_get_contributors_public.json
tests/cassettes/test_get_contributors_public_exception.json
tests/cassettes/test_get_controversial.json
tests/cassettes/test_get_edited_oauth.json
tests/cassettes/test_get_flair_list.json
tests/cassettes/test_get_front_page.json
tests/cassettes/test_get_hidden.json
tests/cassettes/test_get_message.json
tests/cassettes/test_get_mod_log.json
tests/cassettes/test_get_mod_log_with_action_filter.json
tests/cassettes/test_get_mod_log_with_mod_by_name.json
tests/cassettes/test_get_mod_log_with_mod_by_redditor_object.json
tests/cassettes/test_get_mod_queue.json
tests/cassettes/test_get_mod_queue_multi.json
tests/cassettes/test_get_mod_queue_with_default_subreddit.json
tests/cassettes/test_get_moderators_contributors_oauth.json
tests/cassettes/test_get_modlog_oauth.json
tests/cassettes/test_get_multireddit.json
tests/cassettes/test_get_my_contributions.json
tests/cassettes/test_get_my_moderation.json
tests/cassettes/test_get_my_multis.json
tests/cassettes/test_get_my_subreddits.json
tests/cassettes/test_get_new.json
tests/cassettes/test_get_new_subreddits.json
tests/cassettes/test_get_popular_subreddits.json
tests/cassettes/test_get_post_replies.json
tests/cassettes/test_get_priv_sr_comments_oauth.json
tests/cassettes/test_get_priv_sr_listing_oauth.json
tests/cassettes/test_get_priv_submission_comments_oauth.json
tests/cassettes/test_get_randnsfw_subreddit.json
tests/cassettes/test_get_random_submission.json
tests/cassettes/test_get_random_subreddit.json
tests/cassettes/test_get_redditor.json
tests/cassettes/test_get_rising.json
tests/cassettes/test_get_sticky.json
tests/cassettes/test_get_sticky__not_found.json
tests/cassettes/test_get_submission_by_url_oauth.json
tests/cassettes/test_get_submissions.json
tests/cassettes/test_get_submitted.json
tests/cassettes/test_get_subreddit_recommendations.json
tests/cassettes/test_get_top.json
tests/cassettes/test_get_unmoderated.json
tests/cassettes/test_get_unread_update_has_mail.json
tests/cassettes/test_get_upvoted_and_downvoted.json
tests/cassettes/test_get_wiki_page.json
tests/cassettes/test_get_wiki_pages.json
tests/cassettes/test_hide_oauth.json
tests/cassettes/test_ignore_and_unignore_reports.json
tests/cassettes/test_inbox_comment_permalink.json
tests/cassettes/test_inbox_comment_replies_are_none.json
tests/cassettes/test_info_by_id.json
tests/cassettes/test_info_by_invalid_id.json
tests/cassettes/test_info_by_known_url_returns_known_id_link_post.json
tests/cassettes/test_info_by_url_also_found_by_id.json
tests/cassettes/test_info_by_url_maximum_listing.json
tests/cassettes/test_invalid_set_access_credentials.json
tests/cassettes/test_is_username_available.json
tests/cassettes/test_join_leave_moderator_oauth.json
tests/cassettes/test_login__deprecation_warning.json
tests/cassettes/test_mark_as_nsfw__exception.json
tests/cassettes/test_mark_as_nsfw_and_umark_as_nsfw__as_author.json
tests/cassettes/test_mark_as_nsfw_and_umark_as_nsfw__as_moderator.json
tests/cassettes/test_mark_as_read.json
tests/cassettes/test_mark_as_unread.json
tests/cassettes/test_mark_multiple_as_read.json
tests/cassettes/test_mod_mail_send.json
tests/cassettes/test_moderator.json
tests/cassettes/test_moderator_or_oauth_required__logged_in_from_reddit_obj.json
tests/cassettes/test_moderator_or_oauth_required__logged_in_from_submission_obj.json
tests/cassettes/test_moderator_or_oauth_required__logged_in_from_subreddit_obj.json
tests/cassettes/test_moderator_required__multi.json
tests/cassettes/test_multiple_subreddit__fetch.json
tests/cassettes/test_multireddit_get_new.json
tests/cassettes/test_name_lazy_update.json
tests/cassettes/test_oauth_without_identy_doesnt_set_user.json
tests/cassettes/test_pickling_v0.json
tests/cassettes/test_pickling_v1.json
tests/cassettes/test_pickling_v2.json
tests/cassettes/test_raise_invalidcomment_oauth.json
tests/cassettes/test_raise_invalidsubmission_oauth.json
tests/cassettes/test_raise_invalidsubreddit_oauth.json
tests/cassettes/test_read_inbox_oauth.json
tests/cassettes/test_read_wikipage_oauth.json
tests/cassettes/test_redditor_comparison.json
tests/cassettes/test_remove_oauth.json
tests/cassettes/test_rename_multireddit.json
tests/cassettes/test_reply_to_message_and_verify.json
tests/cassettes/test_report.json
tests/cassettes/test_revision_by.json
tests/cassettes/test_save_comment.json
tests/cassettes/test_save_submission.json
tests/cassettes/test_scope_creddits.json
tests/cassettes/test_scope_history.json
tests/cassettes/test_scope_identity.json
tests/cassettes/test_scope_modposts.json
tests/cassettes/test_scope_mysubreddits.json
tests/cassettes/test_scope_privatemessages.json
tests/cassettes/test_scope_read.json
tests/cassettes/test_scope_read_get_front_page.json
tests/cassettes/test_scope_wikiread_wiki_page.json
tests/cassettes/test_search.json
tests/cassettes/test_search_multiply_submitted_url.json
tests/cassettes/test_search_reddit_names.json
tests/cassettes/test_search_single_submitted_url.json
tests/cassettes/test_search_with_syntax.json
tests/cassettes/test_search_with_time_window.json
tests/cassettes/test_select_link_flair.json
tests/cassettes/test_select_link_flair_custom_text.json
tests/cassettes/test_select_link_flair_remove.json
tests/cassettes/test_select_user_flair.json
tests/cassettes/test_select_user_flair_custom_text.json
tests/cassettes/test_select_user_flair_remove.json
tests/cassettes/test_send.json
tests/cassettes/test_send_from_sr.json
tests/cassettes/test_send_from_subreddit.json
tests/cassettes/test_send_invalid.json
tests/cassettes/test_send_privatemessage_oauth.json
tests/cassettes/test_set_access_credentials.json
tests/cassettes/test_set_access_credentials_with_list.json
tests/cassettes/test_set_access_credentials_with_string.json
tests/cassettes/test_set_individuals_flair_oauth.json
tests/cassettes/test_set_settings.json
tests/cassettes/test_set_settings_oauth.json
tests/cassettes/test_set_stylesheet.json
tests/cassettes/test_set_stylesheet_oauth.json
tests/cassettes/test_set_suggested_sort.json
tests/cassettes/test_short_link.json
tests/cassettes/test_solve_captcha.json
tests/cassettes/test_spambox_comments_replies_are_none.json
tests/cassettes/test_sticky_unsticky.json
tests/cassettes/test_store_json_result.json
tests/cassettes/test_store_lazy_json_result.json
tests/cassettes/test_submission_delete.json
tests/cassettes/test_submission_edit__link_failure.json
tests/cassettes/test_submission_edit__self.json
tests/cassettes/test_submission_hide_and_unhide.json
tests/cassettes/test_submission_hide_and_unhide_batch.json
tests/cassettes/test_submission_refresh.json
tests/cassettes/test_submit__duplicate_url.json
tests/cassettes/test_submit__invalid_arguments.json
tests/cassettes/test_submit__self.json
tests/cassettes/test_submit__self_with_no_body.json
tests/cassettes/test_submit_oauth.json
tests/cassettes/test_subreddit_refresh.json
tests/cassettes/test_subreddit_search.json
tests/cassettes/test_subscribe_and_unsubscribe.json
tests/cassettes/test_subscribe_oauth.json
tests/cassettes/test_unicode_comment.json
tests/cassettes/test_unicode_submission.json
tests/cassettes/test_unique_count_zero.json
tests/cassettes/test_update_settings__descriptions.json
tests/cassettes/test_upload_invalid_file_path.json
tests/cassettes/test_upload_invalid_image.json
tests/cassettes/test_upload_invalid_image_path.json
tests/cassettes/test_upload_invalid_image_too_large.json
tests/cassettes/test_upload_invalid_image_too_small.json
tests/cassettes/test_upload_invalid_params.json
tests/cassettes/test_upload_jpg_header.json
tests/cassettes/test_user_comment_permalink.json
tests/cassettes/test_user_comment_replies_are_none.json
tests/cassettes/test_user_set_on_login.json
tests/cassettes/test_vote_oauth.json
tests/cassettes/test_voting.json
tests/cassettes/test_wiki_ban.json
tests/cassettes/test_wiki_contributors.json
tests/files/big
tests/files/invalid.jpg
tests/files/white-square
tests/files/white-square.jpg
tests/files/white-square.png
tests/files/white-square.tiff praw-3.3.0/praw.egg-info/requires.txt 0000666 0000000 0000000 00000000077 12603444400 016234 0 ustar root root decorator>=3.4.2
requests>=2.3.0
six>=1.4
update_checker>=0.11
praw-3.3.0/praw.egg-info/dependency_links.txt 0000666 0000000 0000000 00000000001 12603444400 017676 0 ustar root root
praw-3.3.0/praw.egg-info/entry_points.txt 0000666 0000000 0000000 00000000075 12603444400 017130 0 ustar root root [console_scripts]
praw-multiprocess = praw.multiprocess:run
praw-3.3.0/README.rst 0000666 0000000 0000000 00000007363 12603443222 012666 0 ustar root root .. _main_page:
PRAW: The Python Reddit API Wrapper
===================================
.. begin_description
.. image:: https://travis-ci.org/praw-dev/praw.svg?branch=master
:target: https://travis-ci.org/praw-dev/praw
.. image:: https://coveralls.io/repos/praw-dev/praw/badge.svg?branch=master
:target: https://coveralls.io/r/praw-dev/praw?branch=master
PRAW, an acronym for "Python Reddit API Wrapper", is a python package that
allows for simple access to reddit's API. PRAW aims to be as easy to use as
possible and is designed to follow all of `reddit's API rules
`_. You have to give a useragent
that follows the rules, everything else is handled by PRAW so you needn't worry
about violating them.
Here's a quick peek, getting the first 5 submissions from
the 'hot' section of the 'opensource' subreddit:
.. code-block:: pycon
>>> import praw
>>> r = praw.Reddit(user_agent='my_cool_application')
>>> submissions = r.get_subreddit('opensource').get_hot(limit=5)
>>> [str(x) for x in submissions]
This will display something similar to the following:
.. code-block:: pycon
['10 :: Gun.io Debuts Group Funding for Open Source Projects\n Gun.io',
'24 :: Support the Free Software Foundation',
'67 :: The 10 Most Important Open Source Projects of 2011',
'85 :: Plan 9 - A distributed OS with a unified communicatioprotocol I/O...',
'2 :: Open-source webOS is dead on arrival ']
.. end_description
.. begin_installation
.. _installation:
Installation
------------
PRAW is supported on python 2.7, 3.3, 3.4 and 3.5. The recommended way to
install is via `pip `_
.. code-block:: bash
$ pip install praw
If you want to run the development version of PRAW try:
.. code-block:: bash
$ pip install --upgrade https://github.com/praw-dev/praw/archive/master.zip
If you don't have ``pip`` installed, then the Hitchhiker's Guide to Python has
a section for setting it up on `Windows
`_,
`Mac `_ and
`Linux `_.
There is also a `Stack overflow question on installing pip on Windows
`_
that might prove helpful.
Alternatively you can do it via
`easy_install `_
.. code-block:: bash
$ easy_install praw
.. end_installation
.. begin_support
Support
-------
The official place to ask questions about PRAW, reddit and other API wrappers
is `r/redditdev `_. If the question is more
about Python and less about PRAW, such as "what are generators", then you're
likely to get more, faster and more in-depth answers in `r/learnpython
`_.
If you've uncovered a bug or have a feature request, then `make an issue on our
project page at github `_.
Please note that this project is released with a `Contributor Code of Conduct
`_. By
participating in this project you agree to abide by its terms.
.. end_support
Documentation
-------------
PRAW's documentation, which includes tutorials, information on configuring PRAW
and other good stuff can be found at `readthedocs
`_.
.. begin_license
License
-------
All of the code contained here is licensed by
`the GNU GPLv3 `_.
.. end_license
praw-3.3.0/praw/ 0000755 0000000 0000000 00000000000 12606362001 012131 5 ustar root root praw-3.3.0/praw/multiprocess.py 0000666 0000000 0000000 00000007700 12550633350 015252 0 ustar root root """Provides a request server to be used with the multiprocess handler."""
from __future__ import print_function, unicode_literals
import socket
import sys
from optparse import OptionParser
from praw import __version__
from praw.handlers import DefaultHandler
from requests import Session
from six.moves import cPickle, socketserver # pylint: disable=F0401
from threading import Lock
class ThreadingTCPServer(socketserver.ThreadingMixIn, socketserver.TCPServer):
# pylint: disable=R0903,W0232
"""A TCP server that creates new threads per connection."""
allow_reuse_address = True
@staticmethod
def handle_error(_, client_addr):
"""Mute tracebacks of common errors."""
exc_type, exc_value, _ = sys.exc_info()
if exc_type is socket.error and exc_value[0] == 32:
pass
elif exc_type is cPickle.UnpicklingError:
sys.stderr.write('Invalid connection from {0}\n'
.format(client_addr[0]))
else:
raise
class RequestHandler(socketserver.StreamRequestHandler):
# pylint: disable=W0232
"""A class that handles incoming requests.
Requests to the same domain are cached and rate-limited.
"""
ca_lock = Lock() # lock around cache and timeouts
cache = {} # caches requests
http = Session() # used to make requests
last_call = {} # Stores a two-item list: [lock, previous_call_time]
rl_lock = Lock() # lock used for adding items to last_call
timeouts = {} # store the time items in cache were entered
do_evict = DefaultHandler.evict # Add in the evict method
@staticmethod
def cache_hit_callback(key):
"""Output when a cache hit occurs."""
print('HIT {0} {1}'.format('POST' if key[1][1] else 'GET', key[0]))
@DefaultHandler.with_cache
@DefaultHandler.rate_limit
def do_request(self, request, proxies, timeout, **_):
"""Dispatch the actual request and return the result."""
print('{0} {1}'.format(request.method, request.url))
response = self.http.send(request, proxies=proxies, timeout=timeout,
allow_redirects=False)
response.raw = None # Make pickleable
return response
def handle(self):
"""Parse the RPC, make the call, and pickle up the return value."""
data = cPickle.load(self.rfile) # pylint: disable=E1101
method = data.pop('method')
try:
retval = getattr(self, 'do_{0}'.format(method))(**data)
except Exception as retval: # pylint: disable=W0703
# All exceptions should be passed to the client
pass
cPickle.dump(retval, self.wfile, # pylint: disable=E1101
cPickle.HIGHEST_PROTOCOL)
def run():
"""The entry point from the praw-multiprocess utility."""
parser = OptionParser(version='%prog {0}'.format(__version__))
parser.add_option('-a', '--addr', default='localhost',
help=('The address or host to listen on. Specify -a '
'0.0.0.0 to listen on all addresses. '
'Default: localhost'))
parser.add_option('-p', '--port', type='int', default='10101',
help=('The port to listen for requests on. '
'Default: 10101'))
options, _ = parser.parse_args()
try:
server = ThreadingTCPServer((options.addr, options.port),
RequestHandler)
except (socket.error, socket.gaierror) as exc: # Handle bind errors
print(exc)
sys.exit(1)
print('Listening on {0} port {1}'.format(options.addr, options.port))
try:
server.serve_forever() # pylint: disable=E1101
except KeyboardInterrupt:
server.socket.close() # pylint: disable=E1101
RequestHandler.http.close()
print('Goodbye!')
praw-3.3.0/praw/decorators.py 0000666 0000000 0000000 00000027142 12566543056 014702 0 ustar root root # This file is part of PRAW.
#
# PRAW is free software: you can redistribute it and/or modify it under the
# terms of the GNU General Public License as published by the Free Software
# Foundation, either version 3 of the License, or (at your option) any later
# version.
#
# PRAW is distributed in the hope that it will be useful, but WITHOUT ANY
# WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR
# A PARTICULAR PURPOSE. See the GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License along with
# PRAW. If not, see .
"""
Decorators.
They mainly do two things: ensure API guidelines are followed and
prevent unnecessary failed API requests by testing that the call can be made
first. Also, they can limit the length of output strings and parse json
response for certain errors.
"""
from __future__ import print_function, unicode_literals
import decorator
import inspect
import six
import sys
from functools import wraps
from praw.decorator_helpers import _get_captcha, _is_mod_of_all
from praw import errors
from warnings import simplefilter, warn
# Enable deprecation warnings
simplefilter('default')
def alias_function(function, class_name):
"""Create a RedditContentObject function mapped to a BaseReddit function.
The BaseReddit classes define the majority of the API's functions. The
first argument for many of these functions is the RedditContentObject that
they operate on. This factory returns functions appropriate to be called on
a RedditContent object that maps to the corresponding BaseReddit function.
"""
@wraps(function)
def wrapped(self, *args, **kwargs):
func_args = inspect.getargspec(function).args
if 'subreddit' in func_args and func_args.index('subreddit') != 1:
# Only happens for search
kwargs['subreddit'] = self
return function(self.reddit_session, *args, **kwargs)
else:
return function(self.reddit_session, self, *args, **kwargs)
# Only grab the short-line doc and add a link to the complete doc
if wrapped.__doc__ is not None:
wrapped.__doc__ = wrapped.__doc__.split('\n', 1)[0]
wrapped.__doc__ += ('\n\nSee :meth:`.{0}.{1}` for complete usage. '
'Note that you should exclude the subreddit '
'parameter when calling this convenience method.'
.format(class_name, function.__name__))
# Don't hide from sphinx as this is a parameter modifying decorator
return wrapped
def deprecated(msg=''):
"""Deprecate decorated method."""
@decorator.decorator
def wrap(function, *args, **kwargs):
if not kwargs.pop('disable_warning', False):
warn(msg, DeprecationWarning)
return function(*args, **kwargs)
return wrap
@decorator.decorator
def limit_chars(function, *args, **kwargs):
"""Truncate the string returned from a function and return the result."""
output_chars_limit = args[0].reddit_session.config.output_chars_limit
output_string = function(*args, **kwargs)
if -1 < output_chars_limit < len(output_string):
output_string = output_string[:output_chars_limit - 3] + '...'
return output_string
@decorator.decorator
def oauth_generator(function, *args, **kwargs):
"""Set the _use_oauth keyword argument to True when appropriate.
This is needed because generator functions may be called at anytime, and
PRAW relies on the Reddit._use_oauth value at original call time to know
when to make OAuth requests.
Returned data is not modified.
"""
if getattr(args[0], '_use_oauth', False):
kwargs['_use_oauth'] = True
return function(*args, **kwargs)
@decorator.decorator
def raise_api_exceptions(function, *args, **kwargs):
"""Raise client side exception(s) when present in the API response.
Returned data is not modified.
"""
try:
return_value = function(*args, **kwargs)
except errors.HTTPException as exc:
if exc._raw.status_code != 400: # pylint: disable=W0212
raise # Unhandled HTTPErrors
try: # Attempt to convert v1 errors into older format (for now)
data = exc._raw.json() # pylint: disable=W0212
assert len(data) == 2
return_value = {'errors': [(data['reason'],
data['explanation'], '')]}
except Exception:
raise exc
if isinstance(return_value, dict):
if return_value.get('error') == 304: # Not modified exception
raise errors.NotModified(return_value)
elif return_value.get('errors'):
error_list = []
for error_type, msg, value in return_value['errors']:
if error_type in errors.ERROR_MAPPING:
if error_type == 'RATELIMIT':
args[0].evict(args[1])
error_class = errors.ERROR_MAPPING[error_type]
else:
error_class = errors.APIException
error_list.append(error_class(error_type, msg, value,
return_value))
if len(error_list) == 1:
raise error_list[0]
else:
raise errors.ExceptionList(error_list)
return return_value
@decorator.decorator
def require_captcha(function, *args, **kwargs):
"""Return a decorator for methods that require captchas."""
raise_captcha_exception = kwargs.pop('raise_captcha_exception', False)
captcha_id = None
# Get a handle to the reddit session
if hasattr(args[0], 'reddit_session'):
reddit_session = args[0].reddit_session
else:
reddit_session = args[0]
while True:
try:
if captcha_id:
captcha_answer = _get_captcha(reddit_session, captcha_id)
# When the method is being decorated, all of its default
# parameters become part of this *args tuple. This means that
# *args currently contains a None where the captcha answer
# needs to go. If we put the captcha in the **kwargs,
# we get a TypeError for having two values of the same param.
func_args = inspect.getargspec(function)
if 'captcha' in func_args.args:
captcha_index = func_args.args.index('captcha')
args = list(args)
args[captcha_index] = captcha_answer
else:
kwargs['captcha'] = captcha_answer
return function(*args, **kwargs)
except errors.InvalidCaptcha as exception:
if raise_captcha_exception or \
not hasattr(sys.stdin, 'closed') or sys.stdin.closed:
raise
captcha_id = exception.response['captcha']
def restrict_access(scope, mod=None, login=None, oauth_only=False):
"""Restrict function access unless the user has the necessary permissions.
Raises one of the following exceptions when appropriate:
* LoginRequired
* LoginOrOAuthRequired
* the scope attribute will provide the necessary scope name
* ModeratorRequired
* ModeratorOrOAuthRequired
* the scope attribute will provide the necessary scope name
:param scope: Indicate the scope that is required for the API call. None or
False must be passed to indicate that no scope handles the API call.
All scopes save for `read` imply login=True. Scopes with 'mod' in their
name imply mod=True.
:param mod: Indicate that a moderator is required. Implies login=True.
:param login: Indicate that a login is required.
:param oauth_only: Indicate that only OAuth is supported for the function.
Returned data is not modified.
This decorator assumes that all mod required functions fit one of these
categories:
* have the subreddit as the first argument (Reddit instance functions) or
have a subreddit keyword argument
* are called upon a subreddit object (Subreddit RedditContentObject)
* are called upon a RedditContent object with attribute subreddit
"""
if not scope and oauth_only:
raise TypeError('`scope` must be set when `oauth_only` is set')
mod = mod is not False and (mod or scope and 'mod' in scope)
login = login is not False and (login or mod or scope and scope != 'read')
@decorator.decorator
def wrap(function, *args, **kwargs):
if args[0] is None: # Occurs with (un)friend
assert login
raise errors.LoginRequired(function.__name__)
# This segment of code uses hasattr to determine what instance type
# the function was called on. We could use isinstance if we wanted
# to import the types at runtime (decorators is used by all the
# types).
if mod:
if hasattr(args[0], 'reddit_session'):
# Defer access until necessary for RedditContentObject.
# This is because scoped sessions may not require this
# attribute to exist, thus it might not be set.
from praw.objects import Subreddit
subreddit = args[0] if isinstance(args[0], Subreddit) \
else False
else:
subreddit = kwargs.get(
'subreddit', args[1] if len(args) > 1 else None)
if subreddit is None: # Try the default value
defaults = six.get_function_defaults(function)
subreddit = defaults[0] if defaults else None
else:
subreddit = None
obj = getattr(args[0], 'reddit_session', args[0])
# This function sets _use_oauth for one time use only.
# Verify that statement is actually true.
assert not obj._use_oauth # pylint: disable=W0212
if scope and obj.has_scope(scope):
obj._use_oauth = True # pylint: disable=W0212
elif oauth_only:
raise errors.OAuthScopeRequired(function.__name__, scope)
elif login and obj.is_logged_in():
if subreddit is False:
# Now fetch the subreddit attribute. There is no good
# reason for it to not be set during a logged in session.
subreddit = args[0].subreddit
if mod and not _is_mod_of_all(obj.user, subreddit):
if scope:
raise errors.ModeratorOrScopeRequired(
function.__name__, scope)
raise errors.ModeratorRequired(function.__name__)
elif login:
if scope:
raise errors.LoginOrScopeRequired(function.__name__, scope)
raise errors.LoginRequired(function.__name__)
try:
return function(*args, **kwargs)
finally:
obj._use_oauth = False # pylint: disable=W0212
return wrap
@decorator.decorator
def require_oauth(function, *args, **kwargs):
"""Verify that the OAuth functions can be used prior to use.
Returned data is not modified.
"""
if not args[0].has_oauth_app_info:
err_msg = ("The OAuth app config parameters client_id, client_secret "
"and redirect_url must be specified to use this function.")
raise errors.OAuthAppRequired(err_msg)
return function(*args, **kwargs)
praw-3.3.0/praw/__init__.py 0000666 0000000 0000000 00000344204 12603444256 014267 0 ustar root root # This file is part of PRAW.
#
# PRAW is free software: you can redistribute it and/or modify it under the
# terms of the GNU General Public License as published by the Free Software
# Foundation, either version 3 of the License, or (at your option) any later
# version.
#
# PRAW is distributed in the hope that it will be useful, but WITHOUT ANY
# WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR
# A PARTICULAR PURPOSE. See the GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License along with
# PRAW. If not, see .
"""
Python Reddit API Wrapper.
PRAW, an acronym for "Python Reddit API Wrapper", is a python package that
allows for simple access to reddit's API. PRAW aims to be as easy to use as
possible and is designed to follow all of reddit's API rules. You have to give
a useragent, everything else is handled by PRAW so you needn't worry about
violating them.
More information about PRAW can be found at https://github.com/praw-dev/praw
"""
from __future__ import print_function, unicode_literals
import json
import os
import platform
import re
import six
import sys
from praw import decorators, errors
from praw.handlers import DefaultHandler
from praw.helpers import normalize_url
from praw.internal import (_prepare_request, _raise_redirect_exceptions,
_raise_response_exceptions, _to_reddit_list)
from praw.settings import CONFIG
from requests import Session
from requests.compat import urljoin
from requests.utils import to_native_string
from requests import Request
# pylint: disable=F0401
from six.moves import html_entities, http_cookiejar
from six.moves.urllib.parse import parse_qs, urlparse, urlunparse
# pylint: enable=F0401
from update_checker import update_check
from warnings import warn_explicit
__version__ = '3.3.0'
MIN_IMAGE_SIZE = 128
MAX_IMAGE_SIZE = 512000
JPEG_HEADER = b'\xff\xd8\xff'
PNG_HEADER = b'\x89\x50\x4e\x47\x0d\x0a\x1a\x0a'
# Compatibility
if six.PY3:
CHR = chr
else:
CHR = unichr # NOQA
class Config(object): # pylint: disable=R0903
"""A class containing the configuration for a reddit site."""
API_PATHS = {'accept_mod_invite': 'api/accept_moderator_invite',
'access_token_url': 'api/v1/access_token/',
'approve': 'api/approve/',
'authorize': 'api/v1/authorize/',
'banned': 'r/%s/about/banned/',
'blocked': 'prefs/blocked/',
'by_id': 'by_id/',
'captcha': 'captcha/',
'clearflairtemplates': 'api/clearflairtemplates/',
'collapse_message': 'api/collapse_message/',
'comment': 'api/comment/',
'comment_replies': 'message/comments/',
'comments': 'comments/',
'compose': 'api/compose/',
'contest_mode': 'api/set_contest_mode/',
'contributors': 'r/%s/about/contributors/',
'controversial': 'controversial/',
'del': 'api/del/',
'deleteflair': 'api/deleteflair',
'delete_redditor': 'api/delete_user',
'delete_sr_header': 'r/%s/api/delete_sr_header',
'delete_sr_image': 'r/%s/api/delete_sr_img',
'distinguish': 'api/distinguish/',
'domain': 'domain/%s/',
'duplicates': 'duplicates/%s/',
'edit': 'api/editusertext/',
'edited': 'r/%s/about/edited/',
'flair': 'api/flair/',
'flairconfig': 'api/flairconfig/',
'flaircsv': 'api/flaircsv/',
'flairlist': 'r/%s/api/flairlist/',
'flairselector': 'api/flairselector/',
'flairtemplate': 'api/flairtemplate/',
'friend': 'api/friend/',
'friend_v1': 'api/v1/me/friends/{user}',
'friends': 'prefs/friends/',
'gild_thing': 'api/v1/gold/gild/{fullname}/',
'gild_user': 'api/v1/gold/give/{username}/',
'help': 'help/',
'hide': 'api/hide/',
'ignore_reports': 'api/ignore_reports/',
'inbox': 'message/inbox/',
'info': 'api/info/',
'leavecontributor': 'api/leavecontributor',
'leavemoderator': 'api/leavemoderator',
'login': 'api/login/',
'me': 'api/v1/me',
'mentions': 'message/mentions',
'message': 'message/messages/%s/',
'messages': 'message/messages/',
'moderators': 'r/%s/about/moderators/',
'modlog': 'r/%s/about/log/',
'modqueue': 'r/%s/about/modqueue/',
'mod_mail': 'r/%s/message/moderator/',
'morechildren': 'api/morechildren/',
'my_con_subreddits': 'subreddits/mine/contributor/',
'my_mod_subreddits': 'subreddits/mine/moderator/',
'my_multis': 'api/multi/mine/',
'my_subreddits': 'subreddits/mine/subscriber/',
'new': 'new/',
'new_subreddits': 'subreddits/new/',
'marknsfw': 'api/marknsfw/',
'multireddit': 'user/%s/m/%s/',
'multireddit_add': 'api/multi/user/%s/m/%s/r/%s',
'multireddit_about': 'api/multi/user/%s/m/%s/',
'multireddit_copy': 'api/multi/copy/',
'multireddit_mine': 'me/m/%s/',
'multireddit_rename': 'api/multi/rename/',
'multireddit_user': 'api/multi/user/%s/',
'popular_subreddits': 'subreddits/popular/',
'post_replies': 'message/selfreply/',
'read_message': 'api/read_message/',
'reddit_url': '/',
'register': 'api/register/',
'remove': 'api/remove/',
'report': 'api/report/',
'reports': 'r/%s/about/reports/',
'rising': 'rising/',
'save': 'api/save/',
'saved': 'saved/',
'search': 'r/%s/search/',
'search_reddit_names': 'api/search_reddit_names/',
'select_flair': 'api/selectflair/',
'sent': 'message/sent/',
'sticky': 'r/%s/about/sticky/',
'sticky_submission': 'api/set_subreddit_sticky/',
'site_admin': 'api/site_admin/',
'spam': 'r/%s/about/spam/',
'stylesheet': 'r/%s/about/stylesheet/',
'submit': 'api/submit/',
'sub_comments_gilded': 'r/%s/comments/gilded/',
'sub_recommendations': 'api/recommend/sr/{0}',
'subreddit': 'r/%s/',
'subreddit_about': 'r/%s/about/',
'subreddit_comments': 'r/%s/comments/',
'subreddit_css': 'api/subreddit_stylesheet/',
'subreddit_random': 'r/%s/random/',
'subreddit_settings': 'r/%s/about/edit/',
'subscribe': 'api/subscribe/',
'suggested_sort': 'api/set_suggested_sort/',
'top': 'top/',
'uncollapse_message': 'api/uncollapse_message/',
'unfriend': 'api/unfriend/',
'unhide': 'api/unhide/',
'unmarknsfw': 'api/unmarknsfw/',
'unmoderated': 'r/%s/about/unmoderated/',
'unignore_reports': 'api/unignore_reports/',
'unread': 'message/unread/',
'unread_message': 'api/unread_message/',
'unsave': 'api/unsave/',
'upload_image': 'api/upload_sr_img',
'user': 'user/%s/',
'user_about': 'user/%s/about/',
'username_available': 'api/username_available/',
'vote': 'api/vote/',
'wiki_edit': 'api/wiki/edit/',
'wiki_page': 'r/%s/wiki/%s', # No trailing /
'wiki_page_editor': 'r/%s/api/wiki/alloweditor/%s',
'wiki_page_settings': 'r/%s/wiki/settings/%s',
'wiki_pages': 'r/%s/wiki/pages/',
'wiki_banned': 'r/%s/about/wikibanned/',
'wiki_contributors': 'r/%s/about/wikicontributors/'}
WWW_PATHS = set(['authorize'])
@staticmethod
def ua_string(praw_info):
"""Return the user-agent string.
The user-agent string contains PRAW version and platform version info.
"""
if os.environ.get('SERVER_SOFTWARE') is not None:
# Google App Engine information
# https://developers.google.com/appengine/docs/python/
info = os.environ.get('SERVER_SOFTWARE')
else:
# Standard platform information
info = platform.platform(True).encode('ascii', 'ignore')
return '{0} PRAW/{1} Python/{2} {3}'.format(
praw_info, __version__, sys.version.split()[0], info)
def __init__(self, site_name, **kwargs):
"""Initialize PRAW's configuration."""
def config_boolean(item):
return item and item.lower() in ('1', 'yes', 'true', 'on')
obj = dict(CONFIG.items(site_name))
# Overwrite configuration file settings with those given during
# instantiation of the Reddit instance.
for key, value in kwargs.items():
obj[key] = value
self.api_url = 'https://' + obj['api_domain']
self.permalink_url = 'https://' + obj['permalink_domain']
self.oauth_url = ('https://' if config_boolean(obj['oauth_https'])
else 'http://') + obj['oauth_domain']
self.api_request_delay = float(obj['api_request_delay'])
self.by_kind = {obj['comment_kind']: objects.Comment,
obj['message_kind']: objects.Message,
obj['redditor_kind']: objects.Redditor,
obj['submission_kind']: objects.Submission,
obj['subreddit_kind']: objects.Subreddit,
'LabeledMulti': objects.Multireddit,
'modaction': objects.ModAction,
'more': objects.MoreComments,
'wikipage': objects.WikiPage,
'wikipagelisting': objects.WikiPageListing,
'UserList': objects.UserList}
self.by_object = dict((value, key) for (key, value) in
six.iteritems(self.by_kind))
self.by_object[objects.LoggedInRedditor] = obj['redditor_kind']
self.cache_timeout = float(obj['cache_timeout'])
self.check_for_updates = config_boolean(obj['check_for_updates'])
self.domain = obj['permalink_domain']
self.output_chars_limit = int(obj['output_chars_limit'])
self.log_requests = int(obj['log_requests'])
self.http_proxy = (obj.get('http_proxy') or os.getenv('http_proxy') or
None)
self.https_proxy = (obj.get('https_proxy') or
os.getenv('https_proxy') or None)
# We use `get(...) or None` because `get` may return an empty string
self.validate_certs = config_boolean(obj.get('validate_certs'))
self.client_id = obj.get('oauth_client_id') or None
self.client_secret = obj.get('oauth_client_secret') or None
self.redirect_uri = obj.get('oauth_redirect_uri') or None
self.refresh_token = obj.get('oauth_refresh_token') or None
self.store_json_result = config_boolean(obj.get('store_json_result'))
if 'short_domain' in obj and obj['short_domain']:
self._short_domain = 'http://' + obj['short_domain']
else:
self._short_domain = None
self.timeout = float(obj['timeout'])
try:
self.user = obj['user'] if obj['user'] else None
self.pswd = obj['pswd']
except KeyError:
self.user = self.pswd = None
def __getitem__(self, key):
"""Return the URL for key."""
prefix = self.permalink_url if key in self.WWW_PATHS else self.api_url
return urljoin(prefix, self.API_PATHS[key])
@property
def short_domain(self):
"""Return the short domain of the reddit server.
Used to generate the shortlink. For reddit.com the short_domain is
redd.it.
"""
if self._short_domain:
return self._short_domain
else:
raise errors.ClientException('No short domain specified.')
class BaseReddit(object):
"""A base class that allows access to reddit's API.
You should **not** directly instantiate instances of this class. Use
:class:`.Reddit` instead.
"""
RETRY_CODES = [502, 503, 504]
update_checked = False
def __init__(self, user_agent, site_name=None, handler=None,
disable_update_check=False, **kwargs):
"""Initialize our connection with a reddit server.
The user_agent is how your application identifies itself. Read the
official API guidelines for user_agents
https://github.com/reddit/reddit/wiki/API. Applications using default
user_agents such as "Python/urllib" are drastically limited.
site_name allows you to specify which reddit you want to connect to.
The installation defaults are reddit.com, if you only need to connect
to reddit.com then you can safely ignore this. If you want to connect
to another reddit, set site_name to the name of that reddit. This must
match with an entry in praw.ini. If site_name is None, then the site
name will be looked for in the environment variable REDDIT_SITE. If it
is not found there, the default site name reddit matching reddit.com
will be used.
disable_update_check allows you to prevent an update check from
occurring in spite of the check_for_updates setting in praw.ini.
All additional parameters specified via kwargs will be used to
initialize the Config object. This can be used to specify configuration
settings during instantiation of the Reddit instance. See
https://praw.readthedocs.org/en/latest/pages/configuration_files.html
for more details.
"""
if not user_agent or not isinstance(user_agent, six.string_types):
raise TypeError('user_agent must be a non-empty string.')
if 'bot' in user_agent.lower():
warn_explicit(
'The keyword `bot` in your user_agent may be problematic.',
UserWarning, '', 0)
self.config = Config(site_name or os.getenv('REDDIT_SITE') or 'reddit',
**kwargs)
self.handler = handler or DefaultHandler()
self.http = Session()
self.http.headers['User-Agent'] = self.config.ua_string(user_agent)
self.http.validate_certs = self.config.validate_certs
# This `Session` object is only used to store request information that
# is used to make prepared requests. It _should_ never be used to make
# a direct request, thus we raise an exception when it is used.
def _req_error(*_, **__):
raise errors.ClientException('Do not make direct requests.')
self.http.request = _req_error
if self.config.http_proxy or self.config.https_proxy:
self.http.proxies = {}
if self.config.http_proxy:
self.http.proxies['http'] = self.config.http_proxy
if self.config.https_proxy:
self.http.proxies['https'] = self.config.https_proxy
self.modhash = None
# Check for updates if permitted and this is the first Reddit instance
if not disable_update_check and not self.update_checked \
and self.config.check_for_updates:
update_check(__name__, __version__)
self.update_checked = True
# Initial values
self._use_oauth = False
def _request(self, url, params=None, data=None, files=None, auth=None,
timeout=None, raw_response=False, retry_on_error=True,
method=None):
"""Given a page url and a dict of params, open and return the page.
:param url: the url to grab content from.
:param params: a dictionary containing the GET data to put in the url
:param data: a dictionary containing the extra data to submit
:param files: a dictionary specifying the files to upload
:param auth: Add the HTTP authentication headers (see requests)
:param timeout: Specifies the maximum time that the actual HTTP request
can take.
:param raw_response: return the response object rather than the
response body
:param retry_on_error: if True retry the request, if it fails, for up
to 3 attempts
:returns: either the response body or the response object
"""
def build_key_items(url, params, data, auth, files, method):
request = _prepare_request(self, url, params, data, auth, files,
method)
# Prepare extra arguments
key_items = []
oauth = request.headers.get('Authorization', None)
for key_value in (params, data, request.cookies, auth, oauth):
if isinstance(key_value, dict):
key_items.append(tuple(key_value.items()))
elif isinstance(key_value, http_cookiejar.CookieJar):
key_items.append(tuple(key_value.get_dict().items()))
else:
key_items.append(key_value)
kwargs = {'_rate_domain': self.config.domain,
'_rate_delay': int(self.config.api_request_delay),
'_cache_ignore': bool(files) or raw_response,
'_cache_timeout': int(self.config.cache_timeout)}
return (request, key_items, kwargs)
def decode(match):
return CHR(html_entities.name2codepoint[match.group(1)])
def handle_redirect():
response = None
url = request.url
while url: # Manually handle 302 redirects
request.url = url
kwargs['_cache_key'] = (normalize_url(request.url),
tuple(key_items))
response = self.handler.request(
request=request.prepare(),
proxies=self.http.proxies,
timeout=timeout,
verify=self.http.validate_certs, **kwargs)
if self.config.log_requests >= 2:
sys.stderr.write('status: {0}\n'
.format(response.status_code))
url = _raise_redirect_exceptions(response)
assert url != request.url
return response
timeout = self.config.timeout if timeout is None else timeout
request, key_items, kwargs = build_key_items(url, params, data,
auth, files, method)
tempauth = self._use_oauth
remaining_attempts = 3 if retry_on_error else 1
attempt_oauth_refresh = bool(self.refresh_token)
while True:
try:
self._use_oauth = self.is_oauth_session()
response = handle_redirect()
_raise_response_exceptions(response)
self.http.cookies.update(response.cookies)
self._use_oauth = tempauth
if raw_response:
return response
else:
return re.sub('&([^;]+);', decode, response.text)
except errors.OAuthInvalidToken as error:
if not attempt_oauth_refresh:
raise
attempt_oauth_refresh = False
self._use_oauth = False
self.refresh_access_information()
self._use_oauth = tempauth
request, key_items, kwargs = build_key_items(url, params,
data, auth, files,
method)
except errors.HTTPException as error:
remaining_attempts -= 1
# pylint: disable=W0212
if error._raw.status_code not in self.RETRY_CODES or \
remaining_attempts == 0:
raise
def _json_reddit_objecter(self, json_data):
"""Return an appropriate RedditObject from json_data when possible."""
try:
object_class = self.config.by_kind[json_data['kind']]
except KeyError:
if 'json' in json_data:
if len(json_data) != 1:
warn_explicit('Unknown object type: %s' %
json_data, UserWarning, '', 0)
return json_data['json']
else:
return object_class.from_api_response(self, json_data['data'])
return json_data
def evict(self, urls):
"""Evict url(s) from the cache.
:param urls: An iterable containing normalized urls.
:returns: The number of items removed from the cache.
"""
if isinstance(urls, six.string_types):
urls = (urls,)
return self.handler.evict(urls)
@decorators.oauth_generator
def get_content(self, url, params=None, limit=0, place_holder=None,
root_field='data', thing_field='children',
after_field='after', object_filter=None, **kwargs):
"""A generator method to return reddit content from a URL.
Starts at the initial url, and fetches content using the `after`
JSON data until `limit` entries have been fetched, or the
`place_holder` has been reached.
:param url: the url to start fetching content from
:param params: dictionary containing extra GET data to put in the url
:param limit: the number of content entries to fetch. If limit <= 0,
fetch the default for your account (25 for unauthenticated
users). If limit is None, then fetch as many entries as possible
(reddit returns at most 100 per request, however, PRAW will
automatically make additional requests as necessary).
:param place_holder: if not None, the method will fetch `limit`
content, stopping if it finds content with `id` equal to
`place_holder`. The place_holder item is the last item to be
yielded from this generator. Note that the use of `place_holder` is
not 100% reliable as the place holder item may no longer exist due
to being removed or deleted.
:param root_field: indicates the field in the json response that holds
the data. Most objects use 'data', however some (flairlist) don't
have the 'data' object. Use None for the root object.
:param thing_field: indicates the field under the root_field which
contains the list of things. Most objects use 'children'.
:param after_field: indicates the field which holds the after item
element
:param object_filter: if set to an integer value, fetch content from
the corresponding list index in the JSON response. For example
the JSON response for submission duplicates is a list of objects,
and the object we want to fetch from is at index 1. So we set
object_filter=1 to filter out the other useless list elements.
:type place_holder: a string corresponding to a reddit base36 id
without prefix, e.g. 'asdfasdf'
:returns: a list of reddit content, of type Subreddit, Comment,
Submission or user flair.
"""
_use_oauth = kwargs.get('_use_oauth', self.is_oauth_session())
objects_found = 0
params = params or {}
fetch_all = fetch_once = False
if limit is None:
fetch_all = True
params['limit'] = 1024 # Just use a big number
elif limit > 0:
params['limit'] = limit
else:
fetch_once = True
if hasattr(self, '_url_update'):
url = self._url_update(url) # pylint: disable=E1101
# While we still need to fetch more content to reach our limit, do so.
while fetch_once or fetch_all or objects_found < limit:
if _use_oauth: # Set the necessary _use_oauth value
assert self._use_oauth is False
self._use_oauth = _use_oauth
try:
page_data = self.request_json(url, params=params)
if object_filter:
page_data = page_data[object_filter]
finally: # Restore _use_oauth value
if _use_oauth:
self._use_oauth = False
fetch_once = False
root = page_data.get(root_field, page_data)
for thing in root[thing_field]:
yield thing
objects_found += 1
# Terminate when we've reached the limit, or place holder
if objects_found == limit or (place_holder and
thing.id == place_holder):
return
# Set/update the 'after' parameter for the next iteration
if root.get(after_field):
# We use `root.get` to also test if the value evaluates to True
params['after'] = root[after_field]
else:
return
@decorators.raise_api_exceptions
def request(self, url, params=None, data=None, retry_on_error=True,
method=None):
"""Make a HTTP request and return the response.
:param url: the url to grab content from.
:param params: a dictionary containing the GET data to put in the url
:param data: a dictionary containing the extra data to submit
:param retry_on_error: if True retry the request, if it fails, for up
to 3 attempts
:param method: The HTTP method to use in the request.
:returns: The HTTP response.
"""
return self._request(url, params, data, raw_response=True,
retry_on_error=retry_on_error, method=method)
@decorators.raise_api_exceptions
def request_json(self, url, params=None, data=None, as_objects=True,
retry_on_error=True, method=None):
"""Get the JSON processed from a page.
:param url: the url to grab content from.
:param params: a dictionary containing the GET data to put in the url
:param data: a dictionary containing the extra data to submit
:param as_objects: if True return reddit objects else raw json dict.
:param retry_on_error: if True retry the request, if it fails, for up
to 3 attempts
:returns: JSON processed page
"""
if not url.endswith('.json'):
url += '.json'
response = self._request(url, params, data, method=method,
retry_on_error=retry_on_error)
hook = self._json_reddit_objecter if as_objects else None
# Request url just needs to be available for the objecter to use
self._request_url = url # pylint: disable=W0201
if response == '':
# Some of the v1 urls don't return anything, even when they're
# successful.
return response
data = json.loads(response, object_hook=hook)
delattr(self, '_request_url')
# Update the modhash
if isinstance(data, dict) and 'data' in data \
and 'modhash' in data['data']:
self.modhash = data['data']['modhash']
return data
class OAuth2Reddit(BaseReddit):
"""Provides functionality for obtaining reddit OAuth2 access tokens.
You should **not** directly instantiate instances of this class. Use
:class:`.Reddit` instead.
"""
def __init__(self, *args, **kwargs):
"""Initialize an OAuth2Reddit instance."""
super(OAuth2Reddit, self).__init__(*args, **kwargs)
self.client_id = self.config.client_id
self.client_secret = self.config.client_secret
self.redirect_uri = self.config.redirect_uri
def _handle_oauth_request(self, data):
auth = (self.client_id, self.client_secret)
url = self.config['access_token_url']
response = self._request(url, auth=auth, data=data, raw_response=True)
if not response.ok:
raise errors.OAuthException('Unexpected OAuthReturn: %d' %
response.status_code, url)
retval = response.json()
if 'error' in retval:
error = retval['error']
if error == 'invalid_grant':
raise errors.OAuthInvalidGrant(error, url)
raise errors.OAuthException(retval['error'], url)
return retval
@decorators.require_oauth
def get_access_information(self, code):
"""Return the access information for an OAuth2 authorization grant.
:param code: the code received in the request from the OAuth2 server
:returns: A dictionary with the key/value pairs for ``access_token``,
``refresh_token`` and ``scope``. The ``refresh_token`` value will
be None when the OAuth2 grant is not refreshable. The ``scope``
value will be a set containing the scopes the tokens are valid for.
"""
data = {'code': code, 'grant_type': 'authorization_code',
'redirect_uri': self.redirect_uri}
retval = self._handle_oauth_request(data)
return {'access_token': retval['access_token'],
'refresh_token': retval.get('refresh_token'),
'scope': set(retval['scope'].split(' '))}
@decorators.require_oauth
def get_authorize_url(self, state, scope='identity', refreshable=False):
"""Return the URL to send the user to for OAuth2 authorization.
:param state: a unique string of your choice that represents this
individual client
:param scope: the reddit scope to ask permissions for. Multiple scopes
can be enabled by passing in a container of strings.
:param refreshable: when True, a permanent "refreshable" token is
issued
"""
params = {'client_id': self.client_id, 'response_type': 'code',
'redirect_uri': self.redirect_uri, 'state': state,
'scope': _to_reddit_list(scope)}
params['duration'] = 'permanent' if refreshable else 'temporary'
request = Request('GET', self.config['authorize'], params=params)
return request.prepare().url
@property
def has_oauth_app_info(self):
"""Return True when OAuth credentials are associated with the instance.
The necessary credentials are: ``client_id``, ``client_secret`` and
``redirect_uri``.
"""
return all((self.client_id is not None,
self.client_secret is not None,
self.redirect_uri is not None))
@decorators.require_oauth
def refresh_access_information(self, refresh_token):
"""Return updated access information for an OAuth2 authorization grant.
:param refresh_token: the refresh token used to obtain the updated
information
:returns: A dictionary with the key/value pairs for access_token,
refresh_token and scope. The refresh_token value will be done when
the OAuth2 grant is not refreshable. The scope value will be a set
containing the scopes the tokens are valid for.
"""
data = {'grant_type': 'refresh_token',
'redirect_uri': self.redirect_uri,
'refresh_token': refresh_token}
retval = self._handle_oauth_request(data)
return {'access_token': retval['access_token'],
'refresh_token': refresh_token,
'scope': set(retval['scope'].split(' '))}
def set_oauth_app_info(self, client_id, client_secret, redirect_uri):
"""Set the app information to use with OAuth2.
This function need only be called if your praw.ini site configuration
does not already contain the necessary information.
Go to https://www.reddit.com/prefs/apps/ to discover the appropriate
values for your application.
:param client_id: the client_id of your application
:param client_secret: the client_secret of your application
:param redirect_uri: the redirect_uri of your application
"""
self.client_id = client_id
self.client_secret = client_secret
self.redirect_uri = redirect_uri
class UnauthenticatedReddit(BaseReddit):
"""This mixin provides bindings for basic functions of reddit's API.
None of these functions require authenticated access to reddit's API.
You should **not** directly instantiate instances of this class. Use
:class:`.Reddit` instead.
"""
def __init__(self, *args, **kwargs):
"""Initialize an UnauthenticatedReddit instance."""
super(UnauthenticatedReddit, self).__init__(*args, **kwargs)
# initialize to 1 instead of 0, because 0 does not reliably make
# new requests.
self._unique_count = 1
def create_redditor(self, user_name, password, email=''):
"""Register a new user.
:returns: The json response from the server.
"""
data = {'email': email,
'passwd': password,
'passwd2': password,
'user': user_name}
return self.request_json(self.config['register'], data=data)
@decorators.restrict_access(scope='read')
def get_comments(self, subreddit, gilded_only=False, *args, **kwargs):
"""Return a get_content generator for comments in the given subreddit.
:param gilded_only: If True only return gilded comments.
The additional parameters are passed directly into
:meth:`.get_content`. Note: the `url` parameter cannot be altered.
"""
key = 'sub_comments_gilded' if gilded_only else 'subreddit_comments'
url = self.config[key] % six.text_type(subreddit)
return self.get_content(url, *args, **kwargs)
@decorators.restrict_access(scope='read')
def get_controversial(self, *args, **kwargs):
"""Return a get_content generator for controversial submissions.
Corresponds to submissions provided by
``https://www.reddit.com/controversial/`` for the session.
The additional parameters are passed directly into
:meth:`.get_content`. Note: the `url` parameter cannot be altered.
"""
return self.get_content(self.config['controversial'], *args, **kwargs)
@decorators.restrict_access(scope='read')
def get_domain_listing(self, domain, sort='hot', period=None, *args,
**kwargs):
"""Return a get_content generator for submissions by domain.
Corresponds to the submissions provided by
``https://www.reddit.com/domain/{domain}``.
:param domain: The domain to generate a submission listing for.
:param sort: When provided must be one of 'hot', 'new', 'rising',
'controversial, or 'top'. Defaults to 'hot'.
:param period: When sort is either 'controversial', or 'top' the period
can be either None (for account default), 'all', 'year', 'month',
'week', 'day', or 'hour'.
The additional parameters are passed directly into
:meth:`.get_content`. Note: the `url` parameter cannot be altered.
"""
# Verify arguments
if sort not in ('controversial', 'hot', 'new', 'rising', 'top'):
raise TypeError('Invalid sort parameter.')
if period not in (None, 'all', 'day', 'hour', 'month', 'week', 'year'):
raise TypeError('Invalid period parameter.')
if sort not in ('controversial', 'top') and period:
raise TypeError('Period cannot be set for that sort argument.')
# Build url
url = self.config['domain'] % domain
if sort != 'hot':
url += sort
if period: # Set or overwrite params 't' parameter
kwargs.setdefault('params', {})['t'] = period
return self.get_content(url, *args, **kwargs)
@decorators.restrict_access(scope='modflair')
def get_flair(self, subreddit, redditor, **params):
"""Return the flair for a user on the given subreddit.
:param subreddit: Can be either a Subreddit object or the name of a
subreddit.
:param redditor: Can be either a Redditor object or the name of a
redditor.
:returns: None if the user doesn't exist, otherwise a dictionary
containing the keys `flair_css_class`, `flair_text`, and `user`.
"""
name = six.text_type(redditor)
params.update(name=name)
data = self.request_json(self.config['flairlist'] %
six.text_type(subreddit), params=params)
if not data['users'] or \
data['users'][0]['user'].lower() != name.lower():
return None
return data['users'][0]
@decorators.restrict_access(scope='read')
def get_front_page(self, *args, **kwargs):
"""Return a get_content generator for the front page submissions.
Corresponds to the submissions provided by ``https://www.reddit.com/``
for the session.
The additional parameters are passed directly into
:meth:`.get_content`. Note: the `url` parameter cannot be altered.
"""
return self.get_content(self.config['reddit_url'], *args, **kwargs)
@decorators.restrict_access(scope='read')
def get_info(self, url=None, thing_id=None, limit=None):
"""Look up existing items by thing_id (fullname) or url.
:param url: The url to lookup.
:param thing_id: A single thing_id, or a list of thing_ids. A thing_id
can be any one of Comment (``t1_``), Link (``t3_``), or Subreddit
(``t5_``) to lookup by fullname.
:param limit: The maximum number of Submissions to return when looking
up by url. When None, uses account default settings.
:returns: When a single ``thing_id`` is provided, return the
corresponding thing object, or ``None`` if not found. When a list
of ``thing_id``s or a ``url`` is provided return a list of thing
objects (up to ``limit``). ``None`` is returned if any one of the
thing_ids or the URL is invalid.
"""
if bool(url) == bool(thing_id):
raise TypeError('Only one of url or thing_id is required!')
elif thing_id and limit:
raise TypeError('Limit keyword is not applicable with thing_id.')
if url:
params = {'url': url}
if limit:
params['limit'] = limit
else:
if not isinstance(thing_id, six.string_types):
thing_id = ','.join(thing_id)
url = True # Enable returning a list
params = {'id': thing_id}
items = self.request_json(self.config['info'],
params=params)['data']['children']
if url:
return items if items else None
elif items:
return items[0]
else:
return None
@decorators.restrict_access(scope='read')
def get_moderators(self, subreddit, **kwargs):
"""Return the list of moderators for the given subreddit."""
return self.request_json(self.config['moderators'] %
six.text_type(subreddit), **kwargs)
@decorators.restrict_access(scope='read')
def get_new(self, *args, **kwargs):
"""Return a get_content generator for new submissions.
Corresponds to the submissions provided by
``https://www.reddit.com/new/`` for the session.
The additional parameters are passed directly into
:meth:`.get_content`. Note: the `url` parameter cannot be altered.
"""
return self.get_content(self.config['new'], *args, **kwargs)
def get_new_subreddits(self, *args, **kwargs):
"""Return a get_content generator for the newest subreddits.
The additional parameters are passed directly into
:meth:`.get_content`. Note: the `url` parameter cannot be altered.
"""
url = self.config['new_subreddits']
return self.get_content(url, *args, **kwargs)
def get_popular_subreddits(self, *args, **kwargs):
"""Return a get_content generator for the most active subreddits.
The additional parameters are passed directly into
:meth:`.get_content`. Note: the `url` parameter cannot be altered.
"""
url = self.config['popular_subreddits']
return self.get_content(url, *args, **kwargs)
def get_random_subreddit(self, nsfw=False):
"""Return a random Subreddit object.
:param nsfw: When true, return a random NSFW Subreddit object. Calling
in this manner will set the 'over18' cookie for the duration of the
PRAW session.
"""
path = 'random'
if nsfw:
self.http.cookies.set('over18', '1')
path = 'randnsfw'
response = self._request(self.config['subreddit'] % path,
params={'unique': self._unique_count},
raw_response=True)
self._unique_count += 1
return self.get_subreddit(response.url.rsplit('/', 2)[-2])
def get_random_submission(self, subreddit='all'):
"""Return a random Submission object.
:param subreddit: Limit the submission to the specified
subreddit(s). Default: all
"""
url = self.config['subreddit_random'] % six.text_type(subreddit)
try:
item = self.request_json(url,
params={'unique': self._unique_count})
self._unique_count += 1 # Avoid network-level caching
return objects.Submission.from_json(item)
except errors.RedirectException as exc:
self._unique_count += 1
return self.get_submission(exc.response_url)
raise errors.ClientException('Expected exception not raised.')
def get_redditor(self, user_name, *args, **kwargs):
"""Return a Redditor instance for the user_name specified.
The additional parameters are passed directly into the
:class:`.Redditor` constructor.
"""
return objects.Redditor(self, user_name, *args, **kwargs)
@decorators.restrict_access(scope='read')
def get_rising(self, *args, **kwargs):
"""Return a get_content generator for rising submissions.
Corresponds to the submissions provided by
``https://www.reddit.com/rising/`` for the session.
The additional parameters are passed directly into
:meth:`.get_content`. Note: the `url` parameter cannot be altered.
"""
return self.get_content(self.config['rising'], *args, **kwargs)
@decorators.restrict_access(scope='read')
def get_sticky(self, subreddit, bottom=False):
"""Return a Submission object for the sticky of the subreddit.
:param bottom: Get the top or bottom sticky. If the subreddit has only
a single sticky, it is considered the top one.
"""
url = self.config['sticky'] % six.text_type(subreddit)
param = {'num': 2} if bottom else None
return objects.Submission.from_json(self.request_json(url,
params=param))
def get_submission(self, url=None, submission_id=None, comment_limit=0,
comment_sort=None, params=None):
"""Return a Submission object for the given url or submission_id.
:param comment_limit: The desired number of comments to fetch. If <= 0
fetch the default number for the session's user. If None, fetch the
maximum possible.
:param comment_sort: The sort order for retrieved comments. When None
use the default for the session's user.
:param params: Dictionary containing extra GET data to put in the url.
"""
if bool(url) == bool(submission_id):
raise TypeError('One (and only one) of id or url is required!')
if submission_id:
url = urljoin(self.config['comments'], submission_id)
return objects.Submission.from_url(self, url,
comment_limit=comment_limit,
comment_sort=comment_sort,
params=params)
def get_submissions(self, fullnames, *args, **kwargs):
"""Generate Submission objects for each item provided in `fullnames`.
A submission fullname looks like `t3_`. Submissions are
yielded in the same order they appear in `fullnames`.
Up to 100 items are batched at a time -- this happens transparently.
The additional parameters are passed directly into
:meth:`.get_content`. Note: the `url` and `limit` parameters cannot be
altered.
"""
fullnames = fullnames[:]
while fullnames:
cur = fullnames[:100]
fullnames[:100] = []
url = self.config['by_id'] + ','.join(cur)
for item in self.get_content(url, limit=len(cur), *args, **kwargs):
yield item
def get_subreddit(self, subreddit_name, *args, **kwargs):
"""Return a Subreddit object for the subreddit_name specified.
The additional parameters are passed directly into the
:class:`.Subreddit` constructor.
"""
sr_name_lower = subreddit_name.lower()
if sr_name_lower == 'random':
return self.get_random_subreddit()
elif sr_name_lower == 'randnsfw':
return self.get_random_subreddit(nsfw=True)
return objects.Subreddit(self, subreddit_name, *args, **kwargs)
def get_subreddit_recommendations(self, subreddits, omit=None):
"""Return a list of recommended subreddits as Subreddit objects.
Subreddits with activity less than a certain threshold, will not have
any recommendations due to lack of data.
:param subreddits: A list of subreddits (either names or Subreddit
objects) to base the recommendations on.
:param omit: A list of subreddits (either names or Subreddit
objects) that will be filtered out of the result.
"""
params = {'omit': _to_reddit_list(omit or [])}
result = self.request_json(self.config['sub_recommendations']
.format(_to_reddit_list(subreddits)),
params=params)
return [objects.Subreddit(self, sub['sr_name']) for sub in result]
@decorators.restrict_access(scope='read')
def get_top(self, *args, **kwargs):
"""Return a get_content generator for top submissions.
Corresponds to the submissions provided by
``https://www.reddit.com/top/`` for the session.
The additional parameters are passed directly into
:meth:`.get_content`. Note: the `url` parameter cannot be altered.
"""
return self.get_content(self.config['top'], *args, **kwargs)
@decorators.restrict_access(scope='wikiread', login=False)
def get_wiki_page(self, subreddit, page):
"""Return a WikiPage object for the subreddit and page provided."""
return objects.WikiPage(self, six.text_type(subreddit), page.lower())
@decorators.restrict_access(scope='wikiread', login=False)
def get_wiki_pages(self, subreddit):
"""Return a list of WikiPage objects for the subreddit."""
return self.request_json(self.config['wiki_pages'] %
six.text_type(subreddit))
def is_username_available(self, username):
"""Return True if username is valid and available, otherwise False."""
params = {'user': username}
try:
result = self.request_json(self.config['username_available'],
params=params)
except errors.BadUsername:
return False
return result
def search(self, query, subreddit=None, sort=None, syntax=None,
period=None, *args, **kwargs):
"""Return a generator for submissions that match the search query.
:param query: The query string to search for. If query is a URL only
submissions which link to that URL will be returned.
:param subreddit: Limit search results to the subreddit if provided.
:param sort: The sort order of the results.
:param syntax: The syntax of the search query.
:param period: The time period of the results.
The additional parameters are passed directly into
:meth:`.get_content`. Note: the `url` parameter cannot be altered.
See https://www.reddit.com/wiki/search for more information on how to
build a search query.
"""
params = {'q': query}
if 'params' in kwargs:
params.update(kwargs['params'])
kwargs.pop('params')
if sort:
params['sort'] = sort
if syntax:
params['syntax'] = syntax
if period:
params['t'] = period
if subreddit:
params['restrict_sr'] = 'on'
url = self.config['search'] % subreddit
else:
url = self.config['search'] % 'all'
depth = 2
while depth > 0:
depth -= 1
try:
for item in self.get_content(url, params=params, *args,
**kwargs):
yield item
break
except errors.RedirectException as exc:
parsed = urlparse(exc.response_url)
params = dict((k, ",".join(v)) for k, v in
parse_qs(parsed.query).items())
url = urlunparse(parsed[:3] + ("", "", ""))
# Handle redirects from URL searches
if 'already_submitted' in params:
yield self.get_submission(url)
break
def search_reddit_names(self, query):
"""Return subreddits whose display name contains the query."""
data = {'query': query}
results = self.request_json(self.config['search_reddit_names'],
data=data)
return [self.get_subreddit(name) for name in results['names']]
class AuthenticatedReddit(OAuth2Reddit, UnauthenticatedReddit):
"""This class adds the methods necessary for authenticating with reddit.
Authentication can either be login based
(through :meth:`~praw.__init__.AuthenticatedReddit.login`), or OAuth2 based
(via :meth:`~praw.__init__.AuthenticatedReddit.set_access_credentials`).
You should **not** directly instantiate instances of this class. Use
:class:`.Reddit` instead.
"""
def __init__(self, *args, **kwargs):
"""Initialize an AuthenticatedReddit instance."""
super(AuthenticatedReddit, self).__init__(*args, **kwargs)
# Add variable to distinguish between authentication type
# * None means unauthenticated
# * True mean login authenticated
# * set(...) means OAuth authenticated with the scopes in the set
self._authentication = None
self.access_token = None
self.refresh_token = self.config.refresh_token or None
self.user = None
def __str__(self):
"""Return a string representation of the AuthenticatedReddit."""
if isinstance(self._authentication, set):
return 'OAuth2 reddit session (scopes: {0})'.format(
', '.join(self._authentication))
elif self._authentication:
return 'LoggedIn reddit session (user: {0})'.format(self.user)
else:
return 'Unauthenticated reddit session'
def _url_update(self, url):
# When getting posts from a multireddit owned by the authenticated
# Redditor, we are redirected to me/m/multi/. Handle that now
# instead of catching later.
if re.search('user/.*/m/.*', url):
redditor = url.split('/')[-4]
if self.user and self.user.name.lower() == redditor.lower():
url = url.replace("user/"+redditor, 'me')
return url
@decorators.restrict_access(scope='modself', mod=False)
def accept_moderator_invite(self, subreddit):
"""Accept a moderator invite to the given subreddit.
Callable upon an instance of Subreddit with no arguments.
:returns: The json response from the server.
"""
data = {'r': six.text_type(subreddit)}
# Clear moderated subreddits and cache
self.user._mod_subs = None # pylint: disable=W0212
self.evict(self.config['my_mod_subreddits'])
return self.request_json(self.config['accept_mod_invite'], data=data)
def clear_authentication(self):
"""Clear any existing authentication on the reddit object.
This function is implicitly called on `login` and
`set_access_credentials`.
"""
self._authentication = None
self.access_token = None
self.refresh_token = None
self.http.cookies.clear()
self.user = None
def delete(self, password, message=""):
"""Delete the currently authenticated redditor.
WARNING!
This action is IRREVERSIBLE. Use only if you're okay with NEVER
accessing this reddit account again.
:param password: password for currently authenticated account
:param message: optional 'reason for deletion' message.
:returns: json response from the server.
"""
data = {'user': self.user.name,
'passwd': password,
'delete_message': message,
'confirm': True}
return self.request_json(self.config['delete_redditor'], data=data)
@decorators.restrict_access(scope='wikiedit')
def edit_wiki_page(self, subreddit, page, content, reason=''):
"""Create or edit a wiki page with title `page` for `subreddit`.
:returns: The json response from the server.
"""
data = {'content': content,
'page': page,
'r': six.text_type(subreddit),
'reason': reason}
self.evict(self.config['wiki_page'] % (six.text_type(subreddit),
page.lower()))
return self.request_json(self.config['wiki_edit'], data=data)
def get_access_information(self, code, # pylint: disable=W0221
update_session=True):
"""Return the access information for an OAuth2 authorization grant.
:param code: the code received in the request from the OAuth2 server
:param update_session: Update the current session with the retrieved
token(s).
:returns: A dictionary with the key/value pairs for access_token,
refresh_token and scope. The refresh_token value will be done when
the OAuth2 grant is not refreshable.
"""
retval = super(AuthenticatedReddit, self).get_access_information(code)
if update_session:
self.set_access_credentials(**retval)
return retval
@decorators.restrict_access(scope='flair')
def get_flair_choices(self, subreddit, link=None):
"""Return available flair choices and current flair.
:param link: If link is given, return the flair options for this
submission. Not normally given directly, but instead set by calling
the flair_choices method for Submission objects.
Use the default for the session's user.
:returns: A dictionary with 2 keys. 'current' containing current flair
settings for the authenticated user and 'choices' containing a list
of possible flair choices.
"""
data = {'r': six.text_type(subreddit), 'link': link}
return self.request_json(self.config['flairselector'], data=data)
@decorators.restrict_access(scope='read', login=True)
def get_friends(self, **params):
"""Return a UserList of Redditors with whom the user is friends."""
url = self.config['friends']
return self.request_json(url, params=params)[0]
@decorators.restrict_access(scope='identity', oauth_only=True)
def get_me(self):
"""Return a LoggedInRedditor object.
Note: This function is only intended to be used with an 'identity'
providing OAuth2 grant.
"""
response = self.request_json(self.config['me'])
user = objects.Redditor(self, response['name'], response)
user.__class__ = objects.LoggedInRedditor
return user
def has_scope(self, scope):
"""Return True if OAuth2 authorized for the passed in scope(s)."""
if isinstance(scope, six.string_types):
scope = [scope]
return self.is_oauth_session() and all(s in self._authentication
for s in scope)
def is_logged_in(self):
"""Return True when the session is authenticated via username/password.
Username and passwords are provided via
:meth:`~praw.__init__.AuthenticatedReddit.login`.
"""
return self._authentication is True
def is_oauth_session(self):
"""Return True when the current session is an OAuth2 session."""
return isinstance(self._authentication, set)
@decorators.deprecated('reddit intends to disable password-based '
'authentication of API clients sometime in the '
'near future. As a result this method will be '
'removed in a future major version of PRAW.\n\n'
'For more information please see:\n\n'
'* Original reddit deprecation notice: '
'https://www.reddit.com/comments/2ujhkr/\n\n'
'* Updated delayed deprecation notice: '
'https://www.reddit.com/comments/37e2mv/\n\n'
'Pass ``disable_warning=True`` to ``login`` to '
'disable this warning.')
def login(self, username=None, password=None, **kwargs):
"""Login to a reddit site.
**DEPRECATED**. Will be removed in a future version of PRAW.
https://www.reddit.com/comments/2ujhkr/
https://www.reddit.com/comments/37e2mv/
Look for username first in parameter, then praw.ini and finally if both
were empty get it from stdin. Look for password in parameter, then
praw.ini (but only if username matches that in praw.ini) and finally
if they both are empty get it with getpass. Add the variables ``user``
(username) and ``pswd`` (password) to your praw.ini file to allow for
auto-login.
A successful login will overwrite any existing authentication.
"""
if password and not username:
raise Exception('Username must be provided when password is.')
user = username or self.config.user
if not user:
sys.stdout.write('Username: ')
sys.stdout.flush()
user = sys.stdin.readline().strip()
pswd = None
else:
pswd = password or self.config.pswd
if not pswd:
import getpass
pswd = getpass.getpass('Password for {0}: '.format(user)
.encode('ascii', 'ignore'))
data = {'passwd': pswd,
'user': user}
self.clear_authentication()
self.request_json(self.config['login'], data=data)
# Update authentication settings
self._authentication = True
self.user = self.get_redditor(user)
self.user.__class__ = objects.LoggedInRedditor
def refresh_access_information(self, # pylint: disable=W0221
refresh_token=None,
update_session=True):
"""Return updated access information for an OAuth2 authorization grant.
:param refresh_token: The refresh token used to obtain the updated
information. When not provided, use the stored refresh_token.
:param update_session: Update the session with the returned data.
:returns: A dictionary with the key/value pairs for ``access_token``,
``refresh_token`` and ``scope``. The ``refresh_token`` value will
be None when the OAuth2 grant is not refreshable. The ``scope``
value will be a set containing the scopes the tokens are valid for.
"""
response = super(AuthenticatedReddit, self).refresh_access_information(
refresh_token=refresh_token or self.refresh_token)
if update_session:
self.set_access_credentials(**response)
return response
@decorators.restrict_access(scope='flair')
def select_flair(self, item, flair_template_id='', flair_text=''):
"""Select user flair or link flair on subreddits.
This can only be used for assigning your own name flair or link flair
on your own submissions. For assigning other's flairs using moderator
access, see :meth:`~praw.__init__.ModFlairMixin.set_flair`.
:param item: A string, Subreddit object (for user flair), or
Submission object (for link flair). If ``item`` is a string it
will be treated as the name of a Subreddit.
:param flair_template_id: The id for the desired flair template. Use
the :meth:`~praw.objects.Subreddit.get_flair_choices` and
:meth:`~praw.objects.Submission.get_flair_choices` methods to find
the ids for the available user and link flair choices.
:param flair_text: A string containing the custom flair text.
Used on subreddits that allow it.
:returns: The json response from the server.
"""
data = {'flair_template_id': flair_template_id or '',
'text': flair_text or ''}
if isinstance(item, objects.Submission):
# Link flair
data['link'] = item.fullname
evict = item.permalink
else:
# User flair
data['name'] = self.user.name
data['r'] = six.text_type(item)
evict = self.config['flairlist'] % six.text_type(item)
response = self.request_json(self.config['select_flair'], data=data)
self.evict(evict)
return response
@decorators.require_oauth
def set_access_credentials(self, scope, access_token, refresh_token=None,
update_user=True):
"""Set the credentials used for OAuth2 authentication.
Calling this function will overwrite any currently existing access
credentials.
:param scope: A set of reddit scopes the tokens provide access to
:param access_token: the access token of the authentication
:param refresh_token: the refresh token of the authentication
:param update_user: Whether or not to set the user attribute for
identity scopes
"""
if isinstance(scope, (list, tuple)):
scope = set(scope)
elif isinstance(scope, six.string_types):
scope = set(scope.split())
if not isinstance(scope, set):
raise TypeError('`scope` parameter must be a set')
self.clear_authentication()
# Update authentication settings
self._authentication = scope
self.access_token = access_token
self.refresh_token = refresh_token
# Update the user object
if update_user and 'identity' in scope:
self.user = self.get_me()
class ModConfigMixin(AuthenticatedReddit):
"""Adds methods requiring the 'modconfig' scope (or mod access).
You should **not** directly instantiate instances of this class. Use
:class:`.Reddit` instead.
"""
@decorators.restrict_access(scope='modconfig', mod=False)
@decorators.require_captcha
def create_subreddit(self, name, title, description='', language='en',
subreddit_type='public', content_options='any',
over_18=False, default_set=True, show_media=False,
domain='', wikimode='disabled', captcha=None,
**kwargs):
"""Create a new subreddit.
:returns: The json response from the server.
This function may result in a captcha challenge. PRAW will
automatically prompt you for a response. See :ref:`handling-captchas`
if you want to manually handle captchas.
"""
data = {'name': name,
'title': title,
'description': description,
'lang': language,
'type': subreddit_type,
'link_type': content_options,
'over_18': 'on' if over_18 else 'off',
'allow_top': 'on' if default_set else 'off',
'show_media': 'on' if show_media else 'off',
'wikimode': wikimode,
'domain': domain}
if captcha:
data.update(captcha)
return self.request_json(self.config['site_admin'], data=data)
@decorators.restrict_access(scope='modconfig')
def delete_image(self, subreddit, name=None, header=False):
"""Delete an image from the subreddit.
:param name: The name of the image if removing a CSS image.
:param header: When true, delete the subreddit header.
:returns: The json response from the server.
"""
if name and header:
raise TypeError('Both name and header cannot be set.')
elif name:
data = {'img_name': name}
url = self.config['delete_sr_image']
self.evict(self.config['stylesheet'] % six.text_type(subreddit))
else:
data = True
url = self.config['delete_sr_header']
return self.request_json(url % six.text_type(subreddit), data=data)
@decorators.restrict_access(scope='modconfig')
def get_settings(self, subreddit, **params):
"""Return the settings for the given subreddit."""
return self.request_json(self.config['subreddit_settings'] %
six.text_type(subreddit),
params=params)['data']
@decorators.restrict_access(scope='modconfig')
def set_settings(self, subreddit, title, public_description='',
description='', language='en', subreddit_type='public',
content_options='any', over_18=False, default_set=True,
show_media=False, domain='', domain_css=False,
domain_sidebar=False, header_hover_text='',
wikimode='disabled', wiki_edit_age=30,
wiki_edit_karma=100,
submit_link_label='', submit_text_label='',
exclude_banned_modqueue=False, comment_score_hide_mins=0,
public_traffic=False, collapse_deleted_comments=False,
spam_comments='low', spam_links='high',
spam_selfposts='high', submit_text='',
hide_ads=False, **kwargs):
"""Set the settings for the given subreddit.
:param subreddit: Must be a subreddit object.
:returns: The json response from the server.
"""
data = {'sr': subreddit.fullname,
'allow_top': default_set,
'comment_score_hide_mins': comment_score_hide_mins,
'collapse_deleted_comments': collapse_deleted_comments,
'description': description,
'domain': domain or '',
'domain_css': domain_css,
'domain_sidebar': domain_sidebar,
'exclude_banned_modqueue': exclude_banned_modqueue,
'header-title': header_hover_text or '',
'hide_ads': hide_ads,
'lang': language,
'link_type': content_options,
'over_18': over_18,
'public_description': public_description,
'public_traffic': public_traffic,
'show_media': show_media,
'submit_link_label': submit_link_label or '',
'submit_text': submit_text,
'submit_text_label': submit_text_label or '',
'spam_comments': spam_comments,
'spam_links': spam_links,
'spam_selfposts': spam_selfposts,
'title': title,
'type': subreddit_type,
'wiki_edit_age': six.text_type(wiki_edit_age),
'wiki_edit_karma': six.text_type(wiki_edit_karma),
'wikimode': wikimode}
if kwargs:
msg = 'Extra settings fields: {0}'.format(kwargs.keys())
warn_explicit(msg, UserWarning, '', 0)
data.update(kwargs)
self.evict(self.config['subreddit_settings'] %
six.text_type(subreddit))
return self.request_json(self.config['site_admin'], data=data)
@decorators.restrict_access(scope='modconfig')
def set_stylesheet(self, subreddit, stylesheet):
"""Set stylesheet for the given subreddit.
:returns: The json response from the server.
"""
data = {'r': six.text_type(subreddit),
'stylesheet_contents': stylesheet,
'op': 'save'} # Options: save / preview
self.evict(self.config['stylesheet'] % six.text_type(subreddit))
return self.request_json(self.config['subreddit_css'], data=data)
@decorators.restrict_access(scope='modconfig')
def upload_image(self, subreddit, image_path, name=None, header=False):
"""Upload an image to the subreddit.
:param image_path: A path to the jpg or png image you want to upload.
:param name: The name to provide the image. When None the name will be
filename less any extension.
:param header: When True, upload the image as the subreddit header.
:returns: A link to the uploaded image. Raises an exception otherwise.
"""
if name and header:
raise TypeError('Both name and header cannot be set.')
image_type = None
# Verify image is a jpeg or png and meets size requirements
with open(image_path, 'rb') as image:
size = os.path.getsize(image.name)
if size < MIN_IMAGE_SIZE:
raise errors.ClientException('`image` is not a valid image')
elif size > MAX_IMAGE_SIZE:
raise errors.ClientException('`image` is too big. Max: {0} '
'bytes'.format(MAX_IMAGE_SIZE))
first_bytes = image.read(MIN_IMAGE_SIZE)
image.seek(0)
if first_bytes.startswith(JPEG_HEADER):
image_type = 'jpg'
elif first_bytes.startswith(PNG_HEADER):
image_type = 'png'
else:
raise errors.ClientException('`image` must be either jpg or '
'png.')
data = {'r': six.text_type(subreddit), 'img_type': image_type}
if header:
data['header'] = 1
else:
if not name:
name = os.path.splitext(os.path.basename(image.name))[0]
data['name'] = name
response = json.loads(self._request(
self.config['upload_image'], data=data, files={'file': image},
method=to_native_string('POST'), retry_on_error=False))
if response['errors']:
raise errors.APIException(response['errors'], None)
return response['img_src']
def update_settings(self, subreddit, **kwargs):
"""Update only the given settings for the given subreddit.
The settings to update must be given by keyword and match one of the
parameter names in `set_settings`.
:returns: The json response from the server.
"""
settings = self.get_settings(subreddit)
settings.update(kwargs)
del settings['subreddit_id']
return self.set_settings(subreddit, **settings)
class ModFlairMixin(AuthenticatedReddit):
"""Adds methods requiring the 'modflair' scope (or mod access).
You should **not** directly instantiate instances of this class. Use
:class:`.Reddit` instead.
"""
@decorators.restrict_access(scope='modflair')
def add_flair_template(self, subreddit, text='', css_class='',
text_editable=False, is_link=False):
"""Add a flair template to the given subreddit.
:returns: The json response from the server.
"""
data = {'r': six.text_type(subreddit),
'text': text,
'css_class': css_class,
'text_editable': six.text_type(text_editable),
'flair_type': 'LINK_FLAIR' if is_link else 'USER_FLAIR'}
return self.request_json(self.config['flairtemplate'], data=data)
@decorators.restrict_access(scope='modflair')
def clear_flair_templates(self, subreddit, is_link=False):
"""Clear flair templates for the given subreddit.
:returns: The json response from the server.
"""
data = {'r': six.text_type(subreddit),
'flair_type': 'LINK_FLAIR' if is_link else 'USER_FLAIR'}
return self.request_json(self.config['clearflairtemplates'], data=data)
@decorators.restrict_access(scope='modflair')
def configure_flair(self, subreddit, flair_enabled=False,
flair_position='right',
flair_self_assign=False,
link_flair_enabled=False,
link_flair_position='left',
link_flair_self_assign=False):
"""Configure the flair setting for the given subreddit.
:returns: The json response from the server.
"""
flair_enabled = 'on' if flair_enabled else 'off'
flair_self_assign = 'on' if flair_self_assign else 'off'
if not link_flair_enabled:
link_flair_position = ''
link_flair_self_assign = 'on' if link_flair_self_assign else 'off'
data = {'r': six.text_type(subreddit),
'flair_enabled': flair_enabled,
'flair_position': flair_position,
'flair_self_assign_enabled': flair_self_assign,
'link_flair_position': link_flair_position,
'link_flair_self_assign_enabled': link_flair_self_assign}
return self.request_json(self.config['flairconfig'], data=data)
@decorators.restrict_access(scope='modflair')
def delete_flair(self, subreddit, user):
"""Delete the flair for the given user on the given subreddit.
:returns: The json response from the server.
"""
data = {'r': six.text_type(subreddit),
'name': six.text_type(user)}
return self.request_json(self.config['deleteflair'], data=data)
@decorators.restrict_access(scope='modflair')
def get_flair_list(self, subreddit, *args, **kwargs):
"""Return a get_content generator of flair mappings.
:param subreddit: Either a Subreddit object or the name of the
subreddit to return the flair list for.
The additional parameters are passed directly into
:meth:`.get_content`. Note: the `url`, `root_field`, `thing_field`, and
`after_field` parameters cannot be altered.
"""
return self.get_content(self.config['flairlist'] %
six.text_type(subreddit), *args,
root_field=None, thing_field='users',
after_field='next', **kwargs)
@decorators.restrict_access(scope='modflair')
def set_flair(self, subreddit, item, flair_text='', flair_css_class=''):
"""Set flair for the user in the given subreddit.
`item` can be a string, Redditor object, or Submission object.
If `item` is a string it will be treated as the name of a Redditor.
This method can only be called by a subreddit moderator with flair
permissions. To set flair on yourself or your own links use
:meth:`~praw.__init__.AuthenticatedReddit.select_flair`.
:returns: The json response from the server.
"""
data = {'r': six.text_type(subreddit),
'text': flair_text or '',
'css_class': flair_css_class or ''}
if isinstance(item, objects.Submission):
data['link'] = item.fullname
evict = item.permalink
else:
data['name'] = six.text_type(item)
evict = self.config['flairlist'] % six.text_type(subreddit)
response = self.request_json(self.config['flair'], data=data)
self.evict(evict)
return response
@decorators.restrict_access(scope='modflair')
def set_flair_csv(self, subreddit, flair_mapping):
"""Set flair for a group of users in the given subreddit.
flair_mapping should be a list of dictionaries with the following keys:
`user`: the user name,
`flair_text`: the flair text for the user (optional),
`flair_css_class`: the flair css class for the user (optional)
:returns: The json response from the server.
"""
if not flair_mapping:
raise errors.ClientException('flair_mapping must be set')
item_order = ['user', 'flair_text', 'flair_css_class']
lines = []
for mapping in flair_mapping:
if 'user' not in mapping:
raise errors.ClientException('flair_mapping must '
'contain `user` key')
lines.append(','.join([mapping.get(x, '') for x in item_order]))
response = []
while len(lines):
data = {'r': six.text_type(subreddit),
'flair_csv': '\n'.join(lines[:100])}
response.extend(self.request_json(self.config['flaircsv'],
data=data))
lines = lines[100:]
self.evict(self.config['flairlist'] % six.text_type(subreddit))
return response
class ModLogMixin(AuthenticatedReddit):
"""Adds methods requiring the 'modlog' scope (or mod access).
You should **not** directly instantiate instances of this class. Use
:class:`.Reddit` instead.
"""
@decorators.restrict_access(scope='modlog')
def get_mod_log(self, subreddit, mod=None, action=None, *args, **kwargs):
"""Return a get_content generator for moderation log items.
:param subreddit: Either a Subreddit object or the name of the
subreddit to return the modlog for.
:param mod: If given, only return the actions made by this moderator.
Both a moderator name or Redditor object can be used here.
:param action: If given, only return entries for the specified action.
The additional parameters are passed directly into
:meth:`.get_content`. Note: the `url` parameter cannot be altered.
"""
params = kwargs.setdefault('params', {})
if mod is not None:
params['mod'] = six.text_type(mod)
if action is not None:
params['type'] = six.text_type(action)
return self.get_content(self.config['modlog'] %
six.text_type(subreddit), *args, **kwargs)
class ModOnlyMixin(AuthenticatedReddit):
"""Adds methods requiring the logged in moderator access.
You should **not** directly instantiate instances of this class. Use
:class:`.Reddit` instead.
"""
def _get_userlist(self, url, user_only, *args, **kwargs):
content = self.get_content(url, *args, **kwargs)
for data in content:
user = objects.Redditor(self, data['name'], fetch=False)
user.id = data['id'].split('_')[1]
if user_only:
yield user
else:
data['name'] = user
yield data
@decorators.restrict_access(scope='read', mod=True)
def get_banned(self, subreddit, user_only=True, *args, **kwargs):
"""Return a get_content generator of banned users for the subreddit.
:param subreddit: The subreddit to get the banned user list for.
:param user_only: When False, the generator yields a dictionary of data
associated with the server response for that user. In such cases,
the Redditor will be in key 'name' (default: True).
"""
return self._get_userlist(
self.config['banned'] % six.text_type(subreddit), user_only, *args,
**kwargs)
def get_contributors(self, subreddit, *args, **kwargs):
"""
Return a get_content generator of contributors for the given subreddit.
If it's a public subreddit, then authentication as a
moderator of the subreddit is required. For protected/private
subreddits only access is required. See issue #246.
"""
# pylint: disable=W0613
def get_contributors_helper(self, subreddit):
# It is necessary to have the 'self' argument as it's needed in
# restrict_access to determine what class the decorator is
# operating on.
return self._get_userlist(
self.config['contributors'] % six.text_type(subreddit),
user_only=True, *args, **kwargs)
if self.is_logged_in():
if not isinstance(subreddit, objects.Subreddit):
subreddit = self.get_subreddit(subreddit)
if subreddit.subreddit_type == "public":
decorator = decorators.restrict_access(scope='read', mod=True)
return decorator(get_contributors_helper)(self, subreddit)
return get_contributors_helper(self, subreddit)
@decorators.restrict_access(scope='read', mod=True)
def get_edited(self, subreddit='mod', *args, **kwargs):
"""Return a get_content generator of edited items.
:param subreddit: Either a Subreddit object or the name of the
subreddit to return the edited items for. Defaults to `mod` which
includes items for all the subreddits you moderate.
The additional parameters are passed directly into
:meth:`.get_content`. Note: the `url` parameter cannot be altered.
"""
return self.get_content(self.config['edited'] %
six.text_type(subreddit), *args, **kwargs)
@decorators.restrict_access(scope='privatemessages', mod=True)
def get_mod_mail(self, subreddit='mod', *args, **kwargs):
"""Return a get_content generator for moderator messages.
:param subreddit: Either a Subreddit object or the name of the
subreddit to return the moderator mail from. Defaults to `mod`
which includes items for all the subreddits you moderate.
The additional parameters are passed directly into
:meth:`.get_content`. Note: the `url` parameter cannot be altered.
"""
return self.get_content(self.config['mod_mail'] %
six.text_type(subreddit), *args, **kwargs)
@decorators.restrict_access(scope='read', mod=True)
def get_mod_queue(self, subreddit='mod', *args, **kwargs):
"""Return a get_content generator for the moderator queue.
:param subreddit: Either a Subreddit object or the name of the
subreddit to return the modqueue for. Defaults to `mod` which
includes items for all the subreddits you moderate.
The additional parameters are passed directly into
:meth:`.get_content`. Note: the `url` parameter cannot be altered.
"""
return self.get_content(self.config['modqueue'] %
six.text_type(subreddit), *args, **kwargs)
@decorators.restrict_access(scope='read', mod=True)
def get_reports(self, subreddit='mod', *args, **kwargs):
"""Return a get_content generator of reported items.
:param subreddit: Either a Subreddit object or the name of the
subreddit to return the reported items. Defaults to `mod` which
includes items for all the subreddits you moderate.
The additional parameters are passed directly into
:meth:`.get_content`. Note: the `url` parameter cannot be altered.
"""
return self.get_content(self.config['reports'] %
six.text_type(subreddit), *args, **kwargs)
@decorators.restrict_access(scope='read', mod=True)
def get_spam(self, subreddit='mod', *args, **kwargs):
"""Return a get_content generator of spam-filtered items.
:param subreddit: Either a Subreddit object or the name of the
subreddit to return the spam-filtered items for. Defaults to `mod`
which includes items for all the subreddits you moderate.
The additional parameters are passed directly into
:meth:`.get_content`. Note: the `url` parameter cannot be altered.
"""
return self.get_content(self.config['spam'] % six.text_type(subreddit),
*args, **kwargs)
@decorators.restrict_access('modconfig', mod=False, login=False)
def get_stylesheet(self, subreddit, **params):
"""Return the stylesheet and images for the given subreddit."""
return self.request_json(self.config['stylesheet'] %
six.text_type(subreddit),
params=params)['data']
@decorators.restrict_access(scope='read', mod=True)
def get_unmoderated(self, subreddit='mod', *args, **kwargs):
"""Return a get_content generator of unmoderated submissions.
:param subreddit: Either a Subreddit object or the name of the
subreddit to return the unmoderated submissions for. Defaults to
`mod` which includes items for all the subreddits you moderate.
The additional parameters are passed directly into
:meth:`.get_content`. Note: the `url` parameter cannot be altered.
"""
return self.get_content(self.config['unmoderated'] %
six.text_type(subreddit), *args, **kwargs)
@decorators.restrict_access(scope='read', mod=True)
def get_wiki_banned(self, subreddit, *args, **kwargs):
"""Return a get_content generator of users banned from the wiki."""
return self._get_userlist(
self.config['wiki_banned'] % six.text_type(subreddit),
user_only=True, *args, **kwargs)
@decorators.restrict_access(scope='read', mod=True)
def get_wiki_contributors(self, subreddit, *args, **kwargs):
"""Return a get_content generator of wiki contributors.
The returned users are those who have been approved as a wiki
contributor by the moderators of the subreddit, Whether or not they've
actually contributed to the wiki is irrellevant, their approval as wiki
contributors is all that matters.
"""
return self._get_userlist(
self.config['wiki_contributors'] % six.text_type(subreddit),
user_only=True, *args, **kwargs)
class ModSelfMixin(AuthenticatedReddit):
"""Adds methods pertaining to the 'modself' OAuth scope (or login).
You should **not** directly instantiate instances of this class. Use
:class:`.Reddit` instead.
"""
def leave_contributor(self, subreddit):
"""Abdicate approved submitter status in a subreddit. Use with care.
:param subreddit: The name of the subreddit to leave `status` from.
:returns: the json response from the server.
"""
return self._leave_status(subreddit, self.config['leavecontributor'])
def leave_moderator(self, subreddit):
"""Abdicate moderator status in a subreddit. Use with care.
:param subreddit: The name of the subreddit to leave `status` from.
:returns: the json response from the server.
"""
self.evict(self.config['my_mod_subreddits'])
return self._leave_status(subreddit, self.config['leavemoderator'])
@decorators.restrict_access(scope='modself', mod=False)
def _leave_status(self, subreddit, statusurl):
"""Abdicate status in a subreddit.
:param subreddit: The name of the subreddit to leave `status` from.
:param statusurl: The API URL which will be used in the leave request.
Please use :meth:`leave_contributor` or :meth:`leave_moderator`
rather than setting this directly.
:returns: the json response from the server.
"""
if isinstance(subreddit, six.string_types):
subreddit = self.get_subreddit(subreddit)
data = {'id': subreddit.fullname}
return self.request_json(statusurl, data=data)
class MultiredditMixin(AuthenticatedReddit):
"""Adds methods pertaining to multireddits.
You should **not** directly instantiate instances of this class. Use
:class:`.Reddit` instead.
"""
MULTI_PATH = '/user/{0}/m/{1}'
@decorators.restrict_access(scope='subscribe')
def copy_multireddit(self, from_redditor, from_name, to_name=None,
*args, **kwargs):
"""Copy a multireddit.
:param from_redditor: The username or Redditor object for the user
who owns the original multireddit
:param from_name: The name of the multireddit, belonging to
from_redditor
:param to_name: The name to copy the multireddit as. If None, uses
the name of the original
The additional parameters are passed directly into
:meth:`~praw.__init__.BaseReddit.request_json`
"""
if to_name is None:
to_name = from_name
from_multipath = self.MULTI_PATH.format(from_redditor, from_name)
to_multipath = self.MULTI_PATH.format(self.user.name, to_name)
data = {'display_name': to_name,
'from': from_multipath,
'to': to_multipath}
return self.request_json(self.config['multireddit_copy'], data=data,
*args, **kwargs)
@decorators.restrict_access(scope='subscribe')
def create_multireddit(self, name, description_md=None, icon_name=None,
key_color=None, subreddits=None, visibility=None,
weighting_scheme=None, overwrite=False,
*args, **kwargs): # pylint: disable=W0613
"""Create a new multireddit.
:param name: The name of the new multireddit.
:param description_md: Optional description for the multireddit,
formatted in markdown.
:param icon_name: Optional, choose an icon name from this list: ``art
and design``, ``ask``, ``books``, ``business``, ``cars``,
``comics``, ``cute animals``, ``diy``, ``entertainment``, ``food
and drink``, ``funny``, ``games``, ``grooming``, ``health``, ``life
advice``, ``military``, ``models pinup``, ``music``, ``news``,
``philosophy``, ``pictures and gifs``, ``science``, ``shopping``,
``sports``, ``style``, ``tech``, ``travel``, ``unusual stories``,
``video``, or ``None``.
:param key_color: Optional rgb hex color code of the form `#xxxxxx`.
:param subreddits: Optional list of subreddit names or Subreddit
objects to initialize the Multireddit with. You can always
add more later with
:meth:`~praw.objects.Multireddit.add_subreddit`.
:param visibility: Choose a privacy setting from this list:
``public``, ``private``, ``hidden``. Defaults to private if blank.
:param weighting_scheme: Choose a weighting scheme from this list:
``classic``, ``fresh``. Defaults to classic if blank.
:param overwrite: Allow for overwriting / updating multireddits.
If False, and the multi name already exists, throw 409 error.
If True, and the multi name already exists, use the given
properties to update that multi.
If True, and the multi name does not exist, create it normally.
:returns: The newly created Multireddit object.
The additional parameters are passed directly into
:meth:`~praw.__init__.BaseReddit.request_json`
"""
url = self.config['multireddit_about'] % (self.user.name, name)
if subreddits:
subreddits = [{'name': six.text_type(sr)} for sr in subreddits]
model = {}
for key in ('description_md', 'icon_name', 'key_color', 'subreddits',
'visibility', 'weighting_scheme'):
value = locals()[key]
if value:
model[key] = value
method = 'PUT' if overwrite else 'POST'
return self.request_json(url, data={'model': json.dumps(model)},
method=method, *args, **kwargs)
@decorators.restrict_access(scope='subscribe')
def delete_multireddit(self, name, *args, **kwargs):
"""Delete a Multireddit.
Any additional parameters are passed directly into
:meth:`~praw.__init__.BaseReddit.request`
"""
url = self.config['multireddit_about'] % (self.user.name, name)
self.http.headers['x-modhash'] = self.modhash
try:
self.request(url, data={}, method='DELETE', *args, **kwargs)
finally:
del self.http.headers['x-modhash']
@decorators.restrict_access(scope='subscribe')
def edit_multireddit(self, *args, **kwargs):
"""Edit a multireddit, or create one if it doesn't already exist.
See :meth:`create_multireddit` for accepted parameters.
"""
return self.create_multireddit(*args, overwrite=True, **kwargs)
def get_multireddit(self, redditor, multi, *args, **kwargs):
"""Return a Multireddit object for the author and name specified.
:param redditor: The username or Redditor object of the user
who owns the multireddit.
:param multi: The name of the multireddit to fetch.
The additional parameters are passed directly into the
:class:`.Multireddit` constructor.
"""
return objects.Multireddit(self, six.text_type(redditor), multi,
*args, **kwargs)
def get_multireddits(self, redditor, *args, **kwargs):
"""Return a list of multireddits belonging to a redditor.
:param redditor: The username or Redditor object to find multireddits
from.
:returns: The json response from the server
The additional parameters are passed directly into
:meth:`~praw.__init__.BaseReddit.request_json`
If the requested redditor is the current user, all multireddits
are visible. Otherwise, only public multireddits are returned.
"""
url = self.config['multireddit_user'] % six.text_type(redditor)
return self.request_json(url, *args, **kwargs)
@decorators.restrict_access(scope='subscribe')
def rename_multireddit(self, current_name, new_name, *args, **kwargs):
"""Rename a Multireddit.
:param current_name: The name of the multireddit to rename
:param new_name: The new name to assign to this multireddit
The additional parameters are passed directly into
:meth:`~praw.__init__.BaseReddit.request_json`
"""
current_path = self.MULTI_PATH.format(self.user.name, current_name)
new_path = self.MULTI_PATH.format(self.user.name, new_name)
data = {'from': current_path,
'to': new_path}
return self.request_json(self.config['multireddit_rename'], data=data,
*args, **kwargs)
class MySubredditsMixin(AuthenticatedReddit):
"""Adds methods requiring the 'mysubreddits' scope (or login).
You should **not** directly instantiate instances of this class. Use
:class:`.Reddit` instead.
"""
@decorators.restrict_access(scope='mysubreddits')
def get_my_contributions(self, *args, **kwargs):
"""Return a get_content generator of subreddits.
The Subreddits generated are those where the session's user is a
contributor.
The additional parameters are passed directly into
:meth:`.get_content`. Note: the `url` parameter cannot be altered.
"""
return self.get_content(self.config['my_con_subreddits'], *args,
**kwargs)
@decorators.restrict_access(scope='mysubreddits')
def get_my_moderation(self, *args, **kwargs):
"""Return a get_content generator of subreddits.
The Subreddits generated are those where the session's user is a
moderator.
The additional parameters are passed directly into
:meth:`.get_content`. Note: the `url` parameter cannot be altered.
"""
return self.get_content(self.config['my_mod_subreddits'], *args,
**kwargs)
@decorators.restrict_access(scope='mysubreddits')
def get_my_multireddits(self):
"""Return a list of the authenticated Redditor's Multireddits."""
# The JSON data for multireddits is returned from Reddit as a list
# Therefore, we cannot use :meth:`get_content` to retrieve the objects
return self.request_json(self.config['my_multis'])
@decorators.restrict_access(scope='mysubreddits')
def get_my_subreddits(self, *args, **kwargs):
"""Return a get_content generator of subreddits.
The subreddits generated are those that hat the session's user is
subscribed to.
The additional parameters are passed directly into
:meth:`.get_content`. Note: the `url` parameter cannot be altered.
"""
return self.get_content(self.config['my_subreddits'], *args, **kwargs)
class PrivateMessagesMixin(AuthenticatedReddit):
"""Adds methods requiring the 'privatemessages' scope (or login).
You should **not** directly instantiate instances of this class. Use
:class:`.Reddit` instead.
"""
@decorators.restrict_access(scope='privatemessages')
def _mark_as_read(self, thing_ids, unread=False):
"""Mark each of the supplied thing_ids as (un)read.
:returns: The json response from the server.
"""
data = {'id': ','.join(thing_ids)}
key = 'unread_message' if unread else 'read_message'
response = self.request_json(self.config[key], data=data)
self.evict([self.config[x] for x in ['inbox', 'messages',
'mod_mail', 'unread']])
return response
@decorators.restrict_access(scope='privatemessages')
def get_comment_replies(self, *args, **kwargs):
"""Return a get_content generator for inboxed comment replies.
The additional parameters are passed directly into
:meth:`.get_content`. Note: the `url` parameter cannot be altered.
"""
return self.get_content(self.config['comment_replies'],
*args, **kwargs)
@decorators.restrict_access(scope='privatemessages')
def get_inbox(self, *args, **kwargs):
"""Return a get_content generator for inbox (messages and comments).
The additional parameters are passed directly into
:meth:`.get_content`. Note: the `url` parameter cannot be altered.
"""
return self.get_content(self.config['inbox'], *args, **kwargs)
def get_message(self, message_id, *args, **kwargs):
"""Return a Message object corresponding to the given ID.
:param message_id: The ID or Fullname for a Message
The additional parameters are passed directly into
:meth:`~praw.objects.Message.from_id` of Message, and subsequently into
:meth:`.request_json`.
"""
return objects.Message.from_id(self, message_id, *args, **kwargs)
@decorators.restrict_access(scope='privatemessages')
def get_messages(self, *args, **kwargs):
"""Return a get_content generator for inbox (messages only).
The additional parameters are passed directly into
:meth:`.get_content`. Note: the `url` parameter cannot be altered.
"""
return self.get_content(self.config['messages'], *args, **kwargs)
@decorators.restrict_access(scope='privatemessages')
def get_post_replies(self, *args, **kwargs):
"""Return a get_content generator for inboxed submission replies.
The additional parameters are passed directly into
:meth:`.get_content`. Note: the `url` parameter cannot be altered.
"""
return self.get_content(self.config['post_replies'], *args, **kwargs)
@decorators.restrict_access(scope='privatemessages')
def get_sent(self, *args, **kwargs):
"""Return a get_content generator for sent messages.
The additional parameters are passed directly into
:meth:`.get_content`. Note: the `url` parameter cannot be altered.
"""
return self.get_content(self.config['sent'], *args, **kwargs)
@decorators.restrict_access(scope='privatemessages')
def get_unread(self, unset_has_mail=False, update_user=False, *args,
**kwargs):
"""Return a get_content generator for unread messages.
:param unset_has_mail: When True, clear the has_mail flag (orangered)
for the user.
:param update_user: If both `unset_has_mail` and `update user` is True,
set the `has_mail` attribute of the logged-in user to False.
The additional parameters are passed directly into
:meth:`.get_content`. Note: the `url` parameter cannot be altered.
"""
params = kwargs.setdefault('params', {})
if unset_has_mail:
params['mark'] = 'true'
if update_user: # Update the user object
# Use setattr to avoid pylint error
setattr(self.user, 'has_mail', False)
return self.get_content(self.config['unread'], *args, **kwargs)
@decorators.restrict_access(scope='privatemessages')
def get_mentions(self, *args, **kwargs):
"""Return a get_content generator for username mentions.
The additional parameters are passed directly into
:meth:`.get_content`. Note: the `url` parameter cannot be altered.
"""
return self.get_content(self.config['mentions'], *args, **kwargs)
@decorators.restrict_access(scope='privatemessages')
@decorators.require_captcha
def send_message(self, recipient, subject, message, from_sr=None,
captcha=None, **kwargs):
"""Send a message to a redditor or a subreddit's moderators (mod mail).
:param recipient: A Redditor or Subreddit instance to send a message
to. A string can also be used in which case the string is treated
as a redditor unless it is prefixed with either '/r/' or '#', in
which case it will be treated as a subreddit.
:param subject: The subject of the message to send.
:param message: The actual message content.
:param from_sr: A Subreddit instance or string to send the message
from. When provided, messages are sent from the subreddit rather
than from the authenticated user. Note that the authenticated user
must be a moderator of the subreddit and have mail permissions.
:returns: The json response from the server.
This function may result in a captcha challenge. PRAW will
automatically prompt you for a response. See :ref:`handling-captchas`
if you want to manually handle captchas.
"""
if isinstance(recipient, objects.Subreddit):
recipient = '/r/%s' % six.text_type(recipient)
else:
recipient = six.text_type(recipient)
data = {'text': message,
'subject': subject,
'to': recipient}
if from_sr:
data['from_sr'] = six.text_type(from_sr)
if captcha:
data.update(captcha)
response = self.request_json(self.config['compose'], data=data,
retry_on_error=False)
self.evict(self.config['sent'])
return response
class ReportMixin(AuthenticatedReddit):
"""Adds methods requiring the 'report' scope (or login).
You should **not** directly instantiate instances of this class. Use
:class:`.Reddit` instead.
"""
@decorators.restrict_access(scope='report')
def hide(self, thing_id, _unhide=False):
"""Hide up to 50 objects in the context of the logged in user.
:param thing_id: A single fullname or list of fullnames,
representing objects which will be hidden.
:param _unhide: If True, unhide the object(s) instead. Use
:meth:`~praw.__init__.ReportMixin.unhide` rather than setting this
manually.
:returns: The json response from the server.
"""
if not isinstance(thing_id, six.string_types):
thing_id = ','.join(thing_id)
method = 'unhide' if _unhide else 'hide'
data = {'id': thing_id,
'executed': method}
response = self.request_json(self.config[method], data=data)
if self.user is not None:
self.evict(urljoin(self.user._url, # pylint: disable=W0212
'hidden'))
return response
def unhide(self, thing_id):
"""Unhide up to 50 objects in the context of the logged in user.
:param thing_id: A single fullname or list of fullnames,
representing objects which will be unhidden.
:returns: The json response from the server.
"""
return self.hide(thing_id, _unhide=True)
class SubmitMixin(AuthenticatedReddit):
"""Adds methods requiring the 'submit' scope (or login).
You should **not** directly instantiate instances of this class. Use
:class:`.Reddit` instead.
"""
def _add_comment(self, thing_id, text):
"""Comment on the given thing with the given text.
:returns: A Comment object for the newly created comment.
"""
def add_comment_helper(self, thing_id, text):
data = {'thing_id': thing_id,
'text': text}
retval = self.request_json(self.config['comment'], data=data,
retry_on_error=False)
return retval
if thing_id.startswith(self.config.by_object[objects.Message]):
decorator = decorators.restrict_access(scope='privatemessages')
else:
decorator = decorators.restrict_access(scope='submit')
retval = decorator(add_comment_helper)(self, thing_id, text)
# REDDIT: reddit's end should only ever return a single comment
return retval['data']['things'][0]
@decorators.restrict_access(scope='submit')
@decorators.require_captcha
def submit(self, subreddit, title, text=None, url=None, captcha=None,
save=None, send_replies=None, resubmit=None, **kwargs):
"""Submit a new link to the given subreddit.
Accepts either a Subreddit object or a str containing the subreddit's
display name.
:param resubmit: If True, submit the link even if it has already been
submitted.
:param save: If True the new Submission will be saved after creation.
:param send_replies: If True, inbox replies will be received when
people comment on the submission. If set to None, the default of
True for text posts and False for link posts will be used.
:returns: The newly created Submission object if the reddit instance
can access it. Otherwise, return the url to the submission.
This function may result in a captcha challenge. PRAW will
automatically prompt you for a response. See :ref:`handling-captchas`
if you want to manually handle captchas.
"""
if isinstance(text, six.string_types) == bool(url):
raise TypeError('One (and only one) of text or url is required!')
data = {'sr': six.text_type(subreddit),
'title': title}
if text or text == '':
data['kind'] = 'self'
data['text'] = text
else:
data['kind'] = 'link'
data['url'] = url
if captcha:
data.update(captcha)
if resubmit is not None:
data['resubmit'] = resubmit
if save is not None:
data['save'] = save
if send_replies is not None:
data['sendreplies'] = send_replies
result = self.request_json(self.config['submit'], data=data,
retry_on_error=False)
url = result['data']['url']
# Clear the OAuth setting when attempting to fetch the submission
if self._use_oauth:
self._use_oauth = False
if url.startswith(self.config.oauth_url):
url = self.config.api_url + url[len(self.config.oauth_url):]
try:
return self.get_submission(url)
except errors.Forbidden:
# While the user may be able to submit to a subreddit,
# that does not guarantee they have read access.
return url
class SubscribeMixin(AuthenticatedReddit):
"""Adds methods requiring the 'subscribe' scope (or login).
You should **not** directly instantiate instances of this class. Use
:class:`.Reddit` instead.
"""
@decorators.restrict_access(scope='subscribe')
def subscribe(self, subreddit, unsubscribe=False):
"""Subscribe to the given subreddit.
:param subreddit: Either the subreddit name or a subreddit object.
:param unsubscribe: When True, unsubscribe.
:returns: The json response from the server.
"""
data = {'action': 'unsub' if unsubscribe else 'sub',
'sr_name': six.text_type(subreddit)}
response = self.request_json(self.config['subscribe'], data=data)
self.evict(self.config['my_subreddits'])
return response
def unsubscribe(self, subreddit):
"""Unsubscribe from the given subreddit.
:param subreddit: Either the subreddit name or a subreddit object.
:returns: The json response from the server.
"""
return self.subscribe(subreddit, unsubscribe=True)
class Reddit(ModConfigMixin, ModFlairMixin, ModLogMixin, ModOnlyMixin,
ModSelfMixin, MultiredditMixin, MySubredditsMixin,
PrivateMessagesMixin, ReportMixin, SubmitMixin, SubscribeMixin):
"""Provides access to reddit's API.
See :class:`.BaseReddit`'s documentation for descriptions of the
initialization parameters.
"""
# Prevent recursive import
from praw import objects # NOQA
praw-3.3.0/praw/internal.py 0000666 0000000 0000000 00000021207 12577530752 014346 0 ustar root root # This file is part of PRAW.
#
# PRAW is free software: you can redistribute it and/or modify it under the
# terms of the GNU General Public License as published by the Free Software
# Foundation, either version 3 of the License, or (at your option) any later
# version.
#
# PRAW is distributed in the hope that it will be useful, but WITHOUT ANY
# WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR
# A PARTICULAR PURPOSE. See the GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License along with
# PRAW. If not, see .
"""Internal helper functions.
The functions in this module are not to be relied upon by third-parties.
"""
from __future__ import print_function, unicode_literals
import re
import six
import sys
from requests import Request, codes, exceptions
from requests.compat import urljoin
from praw.decorators import restrict_access
from praw.errors import (HTTPException, Forbidden, NotFound, InvalidSubreddit,
OAuthException, OAuthInsufficientScope,
OAuthInvalidToken, RedirectException)
RE_REDIRECT = re.compile('(rand(om|nsfw))|about/sticky')
def _get_redditor_listing(subpath=''):
"""Return function to generate Redditor listings."""
def _listing(self, sort='new', time='all', *args, **kwargs):
"""Return a get_content generator for some RedditContentObject type.
:param sort: Specify the sort order of the results if applicable
(one of ``'hot'``, ``'new'``, ``'top'``, ``'controversial'``).
:param time: Specify the time-period to return submissions if
applicable (one of ``'hour'``, ``'day'``, ``'week'``,
``'month'``, ``'year'``, ``'all'``).
The additional parameters are passed directly into
:meth:`.get_content`. Note: the `url` parameter cannot be altered.
"""
kwargs.setdefault('params', {})
kwargs['params'].setdefault('sort', sort)
kwargs['params'].setdefault('t', time)
url = urljoin(self._url, subpath) # pylint: disable=W0212
return self.reddit_session.get_content(url, *args, **kwargs)
return _listing
def _get_sorter(subpath='', **defaults):
"""Return function to generate specific subreddit Submission listings."""
@restrict_access(scope='read')
def _sorted(self, *args, **kwargs):
"""Return a get_content generator for some RedditContentObject type.
The additional parameters are passed directly into
:meth:`.get_content`. Note: the `url` parameter cannot be altered.
"""
if not kwargs.get('params'):
kwargs['params'] = {}
for key, value in six.iteritems(defaults):
kwargs['params'].setdefault(key, value)
url = urljoin(self._url, subpath) # pylint: disable=W0212
return self.reddit_session.get_content(url, *args, **kwargs)
return _sorted
def _modify_relationship(relationship, unlink=False, is_sub=False):
"""Return a function for relationship modification.
Used to support friending (user-to-user), as well as moderating,
contributor creating, and banning (user-to-subreddit).
"""
# The API uses friend and unfriend to manage all of these relationships.
url_key = 'unfriend' if unlink else 'friend'
if relationship == 'friend':
access = {'scope': None, 'login': True}
elif relationship == 'moderator':
access = {'scope': 'modothers'}
elif relationship in ['banned', 'contributor']:
access = {'scope': 'modcontributors'}
elif relationship in ['wikibanned', 'wikicontributor']:
access = {'scope': ['modcontributors', 'modwiki']}
else:
access = {'scope': None, 'mod': True}
@restrict_access(**access)
def do_relationship(thing, user, **kwargs):
data = {'name': six.text_type(user),
'type': relationship}
data.update(kwargs)
if is_sub:
data['r'] = six.text_type(thing)
else:
data['container'] = thing.fullname
session = thing.reddit_session
if relationship == 'moderator':
session.evict(session.config['moderators'] % six.text_type(thing))
url = session.config[url_key]
return session.request_json(url, data=data)
return do_relationship
def _prepare_request(reddit_session, url, params, data, auth, files,
method=None):
"""Return a requests Request object that can be "prepared"."""
# Requests using OAuth for authorization must switch to using the oauth
# domain.
if getattr(reddit_session, '_use_oauth', False):
headers = {'Authorization': 'bearer %s' % reddit_session.access_token}
config = reddit_session.config
for prefix in (config.api_url, config.permalink_url):
if url.startswith(prefix):
if config.log_requests >= 1:
sys.stderr.write('substituting {} for {} in url\n'
.format(config.oauth_url, prefix))
url = config.oauth_url + url[len(prefix):]
break
else:
headers = {}
headers.update(reddit_session.http.headers)
if method:
pass
elif data or files:
method = 'POST'
else:
method = 'GET'
# Log the request if logging is enabled
if reddit_session.config.log_requests >= 1:
sys.stderr.write('{0}: {1}\n'.format(method, url))
if reddit_session.config.log_requests >= 2:
if params:
sys.stderr.write('params: {0}\n'.format(params))
if data:
sys.stderr.write('data: {0}\n'.format(data))
if auth:
sys.stderr.write('auth: {0}\n'.format(auth))
# Prepare request
request = Request(method=method, url=url, headers=headers, params=params,
auth=auth, cookies=reddit_session.http.cookies)
if method == 'GET':
return request
# Most POST requests require adding `api_type` and `uh` to the data.
if data is True:
data = {}
if isinstance(data, dict):
if not auth:
data.setdefault('api_type', 'json')
if reddit_session.modhash:
data.setdefault('uh', reddit_session.modhash)
else:
request.headers.setdefault('Content-Type', 'application/json')
request.data = data
request.files = files
return request
def _raise_redirect_exceptions(response):
"""Return the new url or None if there are no redirects.
Raise exceptions if appropriate.
"""
if response.status_code not in [301, 302, 307]:
return None
new_url = urljoin(response.url, response.headers['location'])
if 'reddits/search' in new_url: # Handle non-existent subreddit
subreddit = new_url.rsplit('=', 1)[1]
raise InvalidSubreddit('`{0}` is not a valid subreddit'
.format(subreddit))
elif not RE_REDIRECT.search(response.url):
raise RedirectException(response.url, new_url)
return new_url
def _raise_response_exceptions(response):
"""Raise specific errors on some status codes."""
if not response.ok and 'www-authenticate' in response.headers:
msg = response.headers['www-authenticate']
if 'insufficient_scope' in msg:
raise OAuthInsufficientScope('insufficient_scope', response.url)
elif 'invalid_token' in msg:
raise OAuthInvalidToken('invalid_token', response.url)
else:
raise OAuthException(msg, response.url)
if response.status_code == codes.forbidden: # pylint: disable=E1101
raise Forbidden(_raw=response)
elif response.status_code == codes.not_found: # pylint: disable=E1101
raise NotFound(_raw=response)
else:
try:
response.raise_for_status() # These should all be directly mapped
except exceptions.HTTPError as exc:
raise HTTPException(_raw=exc.response)
def _to_reddit_list(arg):
"""Return an argument converted to a reddit-formatted list.
The returned format is a comma deliminated list. Each element is a string
representation of an object. Either given as a string or as an object that
is then converted to its string representation.
"""
if (isinstance(arg, six.string_types) or not (
hasattr(arg, "__getitem__") or hasattr(arg, "__iter__"))):
return six.text_type(arg)
else:
return ','.join(six.text_type(a) for a in arg)
praw-3.3.0/praw/handlers.py 0000666 0000000 0000000 00000022541 12555132376 014330 0 ustar root root """Provides classes that handle request dispatching."""
from __future__ import print_function, unicode_literals
import socket
import sys
import time
from functools import wraps
from praw.errors import ClientException
from praw.helpers import normalize_url
from requests import Session
from six import text_type
from six.moves import cPickle # pylint: disable=F0401
from threading import Lock
from timeit import default_timer as timer
class RateLimitHandler(object):
"""The base handler that provides thread-safe rate limiting enforcement.
While this handler is threadsafe, PRAW is not thread safe when the same
`Reddit` instance is being utilized from multiple threads.
"""
last_call = {} # Stores a two-item list: [lock, previous_call_time]
rl_lock = Lock() # lock used for adding items to last_call
@staticmethod
def rate_limit(function):
"""Return a decorator that enforces API request limit guidelines.
We are allowed to make a API request every api_request_delay seconds as
specified in praw.ini. This value may differ from reddit to reddit. For
reddit.com it is 2. Any function decorated with this will be forced to
delay _rate_delay seconds from the calling of the last function
decorated with this before executing.
This decorator must be applied to a RateLimitHandler class method or
instance method as it assumes `rl_lock` and `last_call` are available.
"""
@wraps(function)
def wrapped(cls, _rate_domain, _rate_delay, **kwargs):
cls.rl_lock.acquire()
lock_last = cls.last_call.setdefault(_rate_domain, [Lock(), 0])
with lock_last[0]: # Obtain the domain specific lock
cls.rl_lock.release()
# Sleep if necessary, then perform the request
now = timer()
delay = lock_last[1] + _rate_delay - now
if delay > 0:
now += delay
time.sleep(delay)
lock_last[1] = now
return function(cls, **kwargs)
return wrapped
@classmethod
def evict(cls, urls): # pylint: disable=W0613
"""Method utilized to evict entries for the given urls.
:param urls: An iterable containing normalized urls.
:returns: The number of items removed from the cache.
By default this method returns False as a cache need not be present.
"""
return 0
def __del__(self):
"""Cleanup the HTTP session."""
if self.http:
try:
self.http.close()
except: # Never fail pylint: disable=W0702
pass
def __init__(self):
"""Establish the HTTP session."""
self.http = Session() # Each instance should have its own session
def request(self, request, proxies, timeout, verify, **_):
"""Responsible for dispatching the request and returning the result.
Network level exceptions should be raised and only
``requests.Response`` should be returned.
:param request: A ``requests.PreparedRequest`` object containing all
the data necessary to perform the request.
:param proxies: A dictionary of proxy settings to be utilized for the
request.
:param timeout: Specifies the maximum time that the actual HTTP request
can take.
:param verify: Specifies if SSL certificates should be validated.
``**_`` should be added to the method call to ignore the extra
arguments intended for the cache handler.
"""
return self.http.send(request, proxies=proxies, timeout=timeout,
allow_redirects=False, verify=verify)
RateLimitHandler.request = RateLimitHandler.rate_limit(
RateLimitHandler.request)
class DefaultHandler(RateLimitHandler):
"""Extends the RateLimitHandler to add thread-safe caching support."""
ca_lock = Lock()
cache = {}
cache_hit_callback = None
timeouts = {}
@staticmethod
def with_cache(function):
"""Return a decorator that interacts with a handler's cache.
This decorator must be applied to a DefaultHandler class method or
instance method as it assumes `cache`, `ca_lock` and `timeouts` are
available.
"""
@wraps(function)
def wrapped(cls, _cache_key, _cache_ignore, _cache_timeout, **kwargs):
def clear_timeouts():
"""Clear the cache of timed out results."""
for key in list(cls.timeouts):
if timer() - cls.timeouts[key] > _cache_timeout:
del cls.timeouts[key]
del cls.cache[key]
if _cache_ignore:
return function(cls, **kwargs)
with cls.ca_lock:
clear_timeouts()
if _cache_key in cls.cache:
if cls.cache_hit_callback:
cls.cache_hit_callback(_cache_key)
return cls.cache[_cache_key]
# Releasing the lock before actually making the request allows for
# the possibility of more than one thread making the same request
# to get through. Without having domain-specific caching (under the
# assumption only one request to a domain can be made at a
# time), there isn't a better way to handle this.
result = function(cls, **kwargs)
# The handlers don't call `raise_for_status` so we need to ignore
# status codes that will result in an exception that should not be
# cached.
if result.status_code not in (200, 302):
return result
with cls.ca_lock:
cls.timeouts[_cache_key] = timer()
cls.cache[_cache_key] = result
return result
return wrapped
@classmethod
def clear_cache(cls):
"""Remove all items from the cache."""
with cls.ca_lock:
cls.cache = {}
cls.timeouts = {}
@classmethod
def evict(cls, urls):
"""Remove items from cache matching URLs.
Return the number of items removed.
"""
if isinstance(urls, text_type):
urls = [urls]
urls = set(normalize_url(url) for url in urls)
retval = 0
with cls.ca_lock:
for key in list(cls.cache):
if key[0] in urls:
retval += 1
del cls.cache[key]
del cls.timeouts[key]
return retval
DefaultHandler.request = DefaultHandler.with_cache(RateLimitHandler.request)
class MultiprocessHandler(object):
"""A PRAW handler to interact with the PRAW multi-process server."""
def __init__(self, host='localhost', port=10101):
"""Construct an instance of the MultiprocessHandler."""
self.host = host
self.port = port
def _relay(self, **kwargs):
"""Send the request through the server and return the HTTP response."""
retval = None
delay_time = 2 # For connection retries
read_attempts = 0 # For reading from socket
while retval is None: # Evict can return False
sock = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
sock_fp = sock.makefile('rwb') # Used for pickle
try:
sock.connect((self.host, self.port))
cPickle.dump(kwargs, sock_fp, cPickle.HIGHEST_PROTOCOL)
sock_fp.flush()
retval = cPickle.load(sock_fp)
except: # pylint: disable=W0702
exc_type, exc, _ = sys.exc_info()
socket_error = exc_type is socket.error
if socket_error and exc.errno == 111: # Connection refused
sys.stderr.write('Cannot connect to multiprocess server. I'
's it running? Retrying in {0} seconds.\n'
.format(delay_time))
time.sleep(delay_time)
delay_time = min(64, delay_time * 2)
elif exc_type is EOFError or socket_error and exc.errno == 104:
# Failure during socket READ
if read_attempts >= 3:
raise ClientException('Successive failures reading '
'from the multiprocess server.')
sys.stderr.write('Lost connection with multiprocess server'
' during read. Trying again.\n')
read_attempts += 1
else:
raise
finally:
sock_fp.close()
sock.close()
if isinstance(retval, Exception):
raise retval # pylint: disable=E0702
return retval
def evict(self, urls):
"""Forward the eviction to the server and return its response."""
return self._relay(method='evict', urls=urls)
def request(self, **kwargs):
"""Forward the request to the server and return its HTTP response."""
return self._relay(method='request', **kwargs)
praw-3.3.0/praw/errors.py 0000666 0000000 0000000 00000035441 12577530752 014053 0 ustar root root # This file is part of PRAW.
#
# PRAW is free software: you can redistribute it and/or modify it under the
# terms of the GNU General Public License as published by the Free Software
# Foundation, either version 3 of the License, or (at your option) any later
# version.
#
# PRAW is distributed in the hope that it will be useful, but WITHOUT ANY
# WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR
# A PARTICULAR PURPOSE. See the GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License along with
# PRAW. If not, see .
"""
Error classes.
Includes two main exceptions: ClientException, when something goes
wrong on our end, and APIExeception for when something goes wrong on the
server side. A number of classes extend these two main exceptions for more
specific exceptions.
"""
from __future__ import print_function, unicode_literals
import inspect
import six
import sys
class PRAWException(Exception):
"""The base PRAW Exception class.
Ideally, this can be caught to handle any exception from PRAW.
"""
class ClientException(PRAWException):
"""Base exception class for errors that don't involve the remote API."""
def __init__(self, message=None):
"""Construct a ClientException.
:param message: The error message to display.
"""
if not message:
message = 'Clientside error'
super(ClientException, self).__init__()
self.message = message
def __str__(self):
"""Return the message of the error."""
return self.message
class OAuthScopeRequired(ClientException):
"""Indicates that an OAuth2 scope is required to make the function call.
The attribute `scope` will contain the name of the necessary scope.
"""
def __init__(self, function, scope, message=None):
"""Contruct an OAuthScopeRequiredClientException.
:param function: The function that requires a scope.
:param scope: The scope required for the function.
:param message: A custom message to associate with the
exception. Default: `function` requires the OAuth2 scope `scope`
"""
if not message:
message = '`{0}` requires the OAuth2 scope `{1}`'.format(function,
scope)
super(OAuthScopeRequired, self).__init__(message)
self.scope = scope
class LoginRequired(ClientException):
"""Indicates that a logged in session is required.
This exception is raised on a preemptive basis, whereas NotLoggedIn occurs
in response to a lack of credentials on a privileged API call.
"""
def __init__(self, function, message=None):
"""Construct a LoginRequired exception.
:param function: The function that requires login-based authentication.
:param message: A custom message to associate with the exception.
Default: `function` requires a logged in session
"""
if not message:
message = '`{0}` requires a logged in session'.format(function)
super(LoginRequired, self).__init__(message)
class LoginOrScopeRequired(OAuthScopeRequired, LoginRequired):
"""Indicates that either a logged in session or OAuth2 scope is required.
The attribute `scope` will contain the name of the necessary scope.
"""
def __init__(self, function, scope, message=None):
"""Construct a LoginOrScopeRequired exception.
:param function: The function that requires authentication.
:param scope: The scope that is required if not logged in.
:param message: A custom message to associate with the exception.
Default: `function` requires a logged in session or the OAuth2
scope `scope`
"""
if not message:
message = ('`{0}` requires a logged in session or the '
'OAuth2 scope `{1}`').format(function, scope)
super(LoginOrScopeRequired, self).__init__(function, scope, message)
class ModeratorRequired(LoginRequired):
"""Indicates that a moderator of the subreddit is required."""
def __init__(self, function):
"""Construct a ModeratorRequired exception.
:param function: The function that requires moderator access.
"""
message = ('`{0}` requires a moderator '
'of the subreddit').format(function)
super(ModeratorRequired, self).__init__(message)
class ModeratorOrScopeRequired(LoginOrScopeRequired, ModeratorRequired):
"""Indicates that a moderator of the sub or OAuth2 scope is required.
The attribute `scope` will contain the name of the necessary scope.
"""
def __init__(self, function, scope):
"""Construct a ModeratorOrScopeRequired exception.
:param function: The function that requires moderator authentication or
a moderator scope..
:param scope: The scope that is required if not logged in with
moderator access..
"""
message = ('`{0}` requires a moderator of the subreddit or the '
'OAuth2 scope `{1}`').format(function, scope)
super(ModeratorOrScopeRequired, self).__init__(function, scope,
message)
class OAuthAppRequired(ClientException):
"""Raised when an OAuth client cannot be initialized.
This occurs when any one of the OAuth config values are not set.
"""
class HTTPException(PRAWException):
"""Base class for HTTP related exceptions."""
def __init__(self, _raw, message=None):
"""Construct a HTTPException.
:params _raw: The internal request library response object. This object
is mapped to attribute `_raw` whose format may change at any time.
"""
if not message:
message = 'HTTP error'
super(HTTPException, self).__init__()
self._raw = _raw
self.message = message
def __str__(self):
"""Return the message of the error."""
return self.message
class Forbidden(HTTPException):
"""Raised when the user does not have permission to the entity."""
class NotFound(HTTPException):
"""Raised when the requested entity is not found."""
class InvalidComment(PRAWException):
"""Indicate that the comment is no longer available on reddit."""
ERROR_TYPE = 'DELETED_COMMENT'
def __str__(self):
"""Return the message of the error."""
return self.ERROR_TYPE
class InvalidSubmission(PRAWException):
"""Indicates that the submission is no longer available on reddit."""
ERROR_TYPE = 'DELETED_LINK'
def __str__(self):
"""Return the message of the error."""
return self.ERROR_TYPE
class InvalidSubreddit(PRAWException):
"""Indicates that an invalid subreddit name was supplied."""
ERROR_TYPE = 'SUBREDDIT_NOEXIST'
def __str__(self):
"""Return the message of the error."""
return self.ERROR_TYPE
class RedirectException(PRAWException):
"""Raised when a redirect response occurs that is not expected."""
def __init__(self, request_url, response_url, message=None):
"""Construct a RedirectException.
:param request_url: The url requested.
:param response_url: The url being redirected to.
:param message: A custom message to associate with the exception.
"""
if not message:
message = ('Unexpected redirect '
'from {0} to {1}').format(request_url, response_url)
super(RedirectException, self).__init__()
self.request_url = request_url
self.response_url = response_url
self.message = message
def __str__(self):
"""Return the message of the error."""
return self.message
class OAuthException(PRAWException):
"""Base exception class for OAuth API calls.
Attribute `message` contains the error message.
Attribute `url` contains the url that resulted in the error.
"""
def __init__(self, message, url):
"""Construct a OAuthException.
:param message: The message associated with the exception.
:param url: The url that resulted in error.
"""
super(OAuthException, self).__init__()
self.message = message
self.url = url
def __str__(self):
"""Return the message along with the url."""
return self.message + " on url {0}".format(self.url)
class OAuthInsufficientScope(OAuthException):
"""Raised when the current OAuth scope is not sufficient for the action.
This indicates the access token is valid, but not for the desired action.
"""
class OAuthInvalidGrant(OAuthException):
"""Raised when the code to retrieve access information is not valid."""
class OAuthInvalidToken(OAuthException):
"""Raised when the current OAuth access token is not valid."""
class APIException(PRAWException):
"""Base exception class for the reddit API error message exceptions.
All exceptions of this type should have their own subclass.
"""
def __init__(self, error_type, message, field='', response=None):
"""Construct an APIException.
:param error_type: The error type set on reddit's end.
:param message: The associated message for the error.
:param field: The input field associated with the error, or ''.
:param response: The HTTP response that resulted in the exception.
"""
super(APIException, self).__init__()
self.error_type = error_type
self.message = message
self.field = field
self.response = response
def __str__(self):
"""Return a string containing the error message and field."""
if hasattr(self, 'ERROR_TYPE'):
return '`%s` on field `%s`' % (self.message, self.field)
else:
return '(%s) `%s` on field `%s`' % (self.error_type, self.message,
self.field)
class ExceptionList(APIException):
"""Raised when more than one exception occurred."""
def __init__(self, errors):
"""Construct an ExceptionList.
:param errors: The list of errors.
"""
super(ExceptionList, self).__init__(None, None)
self.errors = errors
def __str__(self):
"""Return a string representation for all the errors."""
ret = '\n'
for i, error in enumerate(self.errors):
ret += '\tError %d) %s\n' % (i, six.text_type(error))
return ret
class AlreadySubmitted(APIException):
"""An exception to indicate that a URL was previously submitted."""
ERROR_TYPE = 'ALREADY_SUB'
class AlreadyModerator(APIException):
"""Used to indicate that a user is already a moderator of a subreddit."""
ERROR_TYPE = 'ALREADY_MODERATOR'
class BadCSS(APIException):
"""An exception to indicate bad CSS (such as invalid) was used."""
ERROR_TYPE = 'BAD_CSS'
class BadCSSName(APIException):
"""An exception to indicate a bad CSS name (such as invalid) was used."""
ERROR_TYPE = 'BAD_CSS_NAME'
class BadUsername(APIException):
"""An exception to indicate an invalid username was used."""
ERROR_TYPE = 'BAD_USERNAME'
class InvalidCaptcha(APIException):
"""An exception for when an incorrect captcha error is returned."""
ERROR_TYPE = 'BAD_CAPTCHA'
class InvalidEmails(APIException):
"""An exception for when invalid emails are provided."""
ERROR_TYPE = 'BAD_EMAILS'
class InvalidFlairTarget(APIException):
"""An exception raised when an invalid user is passed as a flair target."""
ERROR_TYPE = 'BAD_FLAIR_TARGET'
class InvalidInvite(APIException):
"""Raised when attempting to accept a nonexistent moderator invite."""
ERROR_TYPE = 'NO_INVITE_FOUND'
class InvalidUser(APIException):
"""An exception for when a user doesn't exist."""
ERROR_TYPE = 'USER_DOESNT_EXIST'
class InvalidUserPass(APIException):
"""An exception for failed logins."""
ERROR_TYPE = 'WRONG_PASSWORD'
class InsufficientCreddits(APIException):
"""Raised when there are not enough creddits to complete the action."""
ERROR_TYPE = 'INSUFFICIENT_CREDDITS'
class NotLoggedIn(APIException):
"""An exception for when a Reddit user isn't logged in."""
ERROR_TYPE = 'USER_REQUIRED'
class NotModified(APIException):
"""An exception raised when reddit returns {'error': 304}.
This error indicates that the requested content was not modified and is
being requested too frequently. Such an error usually occurs when multiple
instances of PRAW are running concurrently or in rapid succession.
"""
def __init__(self, response):
"""Construct an instance of the NotModified exception.
This error does not have an error_type, message, nor field.
"""
super(NotModified, self).__init__(None, None, response=response)
def __str__(self):
"""Return: That page has not been modified."""
return 'That page has not been modified.'
class RateLimitExceeded(APIException):
"""An exception for when something has happened too frequently.
Contains a `sleep_time` attribute for the number of seconds that must
transpire prior to the next request.
"""
ERROR_TYPE = 'RATELIMIT'
def __init__(self, error_type, message, field, response):
"""Construct an instance of the RateLimitExceeded exception.
The parameters match that of :class:`APIException`.
The `sleep_time` attribute is extracted from the response object.
"""
super(RateLimitExceeded, self).__init__(error_type, message,
field, response)
self.sleep_time = self.response['ratelimit']
class SubredditExists(APIException):
"""An exception to indicate that a subreddit name is not available."""
ERROR_TYPE = 'SUBREDDIT_EXISTS'
class UsernameExists(APIException):
"""An exception to indicate that a username is not available."""
ERROR_TYPE = 'USERNAME_TAKEN'
def _build_error_mapping():
def predicate(obj):
return inspect.isclass(obj) and hasattr(obj, 'ERROR_TYPE')
tmp = {}
for _, obj in inspect.getmembers(sys.modules[__name__], predicate):
tmp[obj.ERROR_TYPE] = obj
return tmp
ERROR_MAPPING = _build_error_mapping()
praw-3.3.0/praw/praw.ini 0000666 0000000 0000000 00000004241 12566234244 013624 0 ustar root root [DEFAULT]
# The domain name PRAW will use to interact with the reddit site via its API.
api_domain: api.reddit.com
# Time, a float, in seconds, required between calls. See:
# http://code.reddit.com/wiki/API
api_request_delay: 2.0
# A boolean to indicate whether or not to check for package updates.
check_for_updates: True
# Time, a float, in seconds, to save the results of a get/post request.
cache_timeout: 30
# Log the API calls
# 0: no logging
# 1: log only the request URIs
# 2: log the request URIs as well as any POST data
log_requests: 0
# The domain name PRAW will use for oauth-related requests.
oauth_domain: oauth.reddit.com
# Whether or not to use HTTPS for oauth connections. This should only be
# changed for development environments.
oauth_https: True
# The maximum length of unicode representations of Comment, Message and
# Submission objects. This is mainly used to fit them within a terminal window
# line. A negative value means no limit.
output_chars_limit: 80
# The domain name PRAW will use when permalinks are requested.
permalink_domain: www.reddit.com
# The domain name to use for short urls.
short_domain: redd.it
# A boolean to indicate if json_dict, which contains the original API response,
# should be stored on every object in the json_dict attribute. Default is
# False as memory usage will double if enabled.
store_json_result: False
# Maximum time, a float, in seconds, before a single HTTP request times
# out. urllib2.URLError is raised upon timeout.
timeout: 45
# A boolean to indicate if SSL certificats should be validated. The
# default is True.
validate_certs: True
# Object to kind mappings
comment_kind: t1
message_kind: t4
redditor_kind: t2
submission_kind: t3
subreddit_kind: t5
[reddit]
# Uses the default settings
[reddit_oauth_test]
oauth_client_id: stJlUSUbPQe5lQ
oauth_client_secret: iU-LsOzyJH7BDVoq-qOWNEq2zuI
oauth_redirect_uri: https://127.0.0.1:65010/authorize_callback
[local_example]
api_domain: reddit.local
api_request_delay: 0
log_requests: 0
message_kind: t7
permalink_domain: reddit.local
short_domain:
submission_kind: t6
subreddit_kind: t5
praw-3.3.0/praw/settings.py 0000666 0000000 0000000 00000003566 12550633350 014367 0 ustar root root # This file is part of PRAW.
#
# PRAW is free software: you can redistribute it and/or modify it under the
# terms of the GNU General Public License as published by the Free Software
# Foundation, either version 3 of the License, or (at your option) any later
# version.
#
# PRAW is distributed in the hope that it will be useful, but WITHOUT ANY
# WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR
# A PARTICULAR PURPOSE. See the GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License along with
# PRAW. If not, see .
"""Provides the code to load PRAW's configuration file `praw.ini`."""
from __future__ import print_function, unicode_literals
import os
import sys
try:
import ConfigParser as configparser
except ImportError:
import configparser # NOQA pylint: disable=F0401
def _load_configuration():
"""Attempt to load settings from various praw.ini files."""
config = configparser.RawConfigParser()
module_dir = os.path.dirname(sys.modules[__name__].__file__)
if 'APPDATA' in os.environ: # Windows
os_config_path = os.environ['APPDATA']
elif 'XDG_CONFIG_HOME' in os.environ: # Modern Linux
os_config_path = os.environ['XDG_CONFIG_HOME']
elif 'HOME' in os.environ: # Legacy Linux
os_config_path = os.path.join(os.environ['HOME'], '.config')
else:
os_config_path = None
locations = [os.path.join(module_dir, 'praw.ini'), 'praw.ini']
if os_config_path is not None:
locations.insert(1, os.path.join(os_config_path, 'praw.ini'))
if not config.read(locations):
raise Exception('Could not find config file in any of: {0}'
.format(locations))
return config
CONFIG = _load_configuration()
del _load_configuration
praw-3.3.0/praw/decorator_helpers.py 0000666 0000000 0000000 00000001670 12550633376 016235 0 ustar root root """Internal helper functions used by praw.decorators."""
from requests.compat import urljoin
import six
import sys
def _get_captcha(reddit_session, captcha_id):
"""Prompt user for captcha solution and return a prepared result."""
url = urljoin(reddit_session.config['captcha'],
captcha_id + '.png')
sys.stdout.write('Captcha URL: %s\nCaptcha: ' % url)
sys.stdout.flush()
raw = sys.stdin.readline()
if not raw: # stdin has reached the end of file
# Trigger exception raising next time through. The request is
# cached so this will not require and extra request and delay.
sys.stdin.close()
return None
return {'iden': captcha_id, 'captcha': raw.strip()}
def _is_mod_of_all(user, subreddit):
mod_subs = user.get_cached_moderated_reddits()
subs = six.text_type(subreddit).lower().split('+')
return all(sub in mod_subs for sub in subs)
praw-3.3.0/praw/helpers.py 0000666 0000000 0000000 00000025733 12577530752 014204 0 ustar root root # This file is part of PRAW.
#
# PRAW is free software: you can redistribute it and/or modify it under the
# terms of the GNU General Public License as published by the Free Software
# Foundation, either version 3 of the License, or (at your option) any later
# version.
#
# PRAW is distributed in the hope that it will be useful, but WITHOUT ANY
# WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR
# A PARTICULAR PURPOSE. See the GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License along with
# PRAW. If not, see .
"""
Helper functions.
The functions here provide functionality that is often needed by programs using
PRAW, but which isn't part of reddit's API.
"""
from __future__ import unicode_literals
import six
import sys
import time
from collections import deque
from functools import partial
from timeit import default_timer as timer
from praw.errors import HTTPException
BACKOFF_START = 4 # Minimum number of seconds to sleep during errors
KEEP_ITEMS = 128 # On each iteration only remember the first # items
def comment_stream(reddit_session, subreddit, limit=None, verbosity=1):
"""Indefinitely yield new comments from the provided subreddit.
Comments are yielded from oldest to newest.
:param reddit_session: The reddit_session to make requests from. In all the
examples this is assigned to the variable ``r``.
:param subreddit: Either a subreddit object, or the name of a
subreddit. Use `all` to get the comment stream for all comments made to
reddit.
:param limit: The maximum number of comments to fetch in a single
iteration. When None, fetch all available comments (reddit limits this
to 1000 (or multiple of 1000 for multi-subreddits). If this number is
too small, comments may be missed.
:param verbosity: A number that controls the amount of output produced to
stderr. <= 0: no output; >= 1: output the total number of comments
processed and provide the short-term number of comments processed per
second; >= 2: output when additional delays are added in order to avoid
subsequent unexpected http errors. >= 3: output debugging information
regarding the comment stream. (Default: 1)
"""
get_function = partial(reddit_session.get_comments,
six.text_type(subreddit))
return _stream_generator(get_function, limit, verbosity)
def submission_stream(reddit_session, subreddit, limit=None, verbosity=1):
"""Indefinitely yield new submissions from the provided subreddit.
Submissions are yielded from oldest to newest.
:param reddit_session: The reddit_session to make requests from. In all the
examples this is assigned to the variable ``r``.
:param subreddit: Either a subreddit object, or the name of a
subreddit. Use `all` to get the submissions stream for all submissions
made to reddit.
:param limit: The maximum number of submissions to fetch in a single
iteration. When None, fetch all available submissions (reddit limits
this to 1000 (or multiple of 1000 for multi-subreddits). If this number
is too small, submissions may be missed. Since there isn't a limit to
the number of submissions that can be retrieved from r/all, the limit
will be set to 1000 when limit is None.
:param verbosity: A number that controls the amount of output produced to
stderr. <= 0: no output; >= 1: output the total number of submissions
processed and provide the short-term number of submissions processed
per second; >= 2: output when additional delays are added in order to
avoid subsequent unexpected http errors. >= 3: output debugging
information regarding the submission stream. (Default: 1)
"""
if six.text_type(subreddit).lower() == "all":
if limit is None:
limit = 1000
if not hasattr(subreddit, 'reddit_session'):
subreddit = reddit_session.get_subreddit(subreddit)
return _stream_generator(subreddit.get_new, limit, verbosity)
def valid_redditors(redditors, sub):
"""Return a verified list of valid Redditor instances.
:param redditors: A list comprised of Redditor instances and/or strings
that are to be verified as actual redditor accounts.
:param sub: A Subreddit instance that the authenticated account has
flair changing permission on.
Note: Flair will be unset for all valid redditors in `redditors` on the
subreddit `mod_sub`.
"""
simplified = list(set(six.text_type(x).lower() for x in redditors))
return [sub.reddit_session.get_redditor(simplified[i], fetch=False)
for (i, resp) in enumerate(sub.set_flair_csv(
({'user': x, 'flair_text': x} for x in simplified)))
if resp['ok']]
def _stream_generator(get_function, limit=None, verbosity=1):
def debug(msg, level):
if verbosity >= level:
sys.stderr.write(msg + '\n')
def b36_id(item):
return int(item.id, 36)
seen = BoundedSet(KEEP_ITEMS * 16)
before = None
count = 0 # Count is incremented to bypass the cache
processed = 0
backoff = BACKOFF_START
while True:
items = []
sleep = None
start = timer()
try:
i = None
params = {'uniq': count}
count = (count + 1) % 100
if before:
params['before'] = before
gen = enumerate(get_function(limit=limit, params=params))
for i, item in gen:
if b36_id(item) in seen:
if i == 0:
if before is not None:
# reddit sent us out of order data -- log it
debug('(INFO) {0} already seen with before of {1}'
.format(item.fullname, before), 3)
before = None
break
if i == 0: # Always the first item in the generator
before = item.fullname
if b36_id(item) not in seen:
items.append(item)
processed += 1
if verbosity >= 1 and processed % 100 == 0:
sys.stderr.write(' Items: {0} \r'
.format(processed))
sys.stderr.flush()
if i < KEEP_ITEMS:
seen.add(b36_id(item))
else: # Generator exhausted
if i is None: # Generator yielded no items
assert before is not None
# Try again without before as the before item may be too
# old or no longer exist.
before = None
backoff = BACKOFF_START
except HTTPException as exc:
sleep = (backoff, '{0}. Sleeping for {{0}} seconds.'.format(exc),
2)
backoff *= 2
# Provide rate limit
if verbosity >= 1:
rate = len(items) / (timer() - start)
sys.stderr.write(' Items: {0} ({1:.2f} ips) \r'
.format(processed, rate))
sys.stderr.flush()
# Yield items from oldest to newest
for item in items[::-1]:
yield item
# Sleep if necessary
if sleep:
sleep_time, msg, msg_level = sleep # pylint: disable=W0633
debug(msg.format(sleep_time), msg_level)
time.sleep(sleep_time)
def convert_id36_to_numeric_id(id36):
"""Convert strings representing base36 numbers into an integer."""
if not isinstance(id36, six.string_types) or id36.count("_") > 0:
raise ValueError("must supply base36 string, not fullname (e.g. use "
"xxxxx, not t3_xxxxx)")
return int(id36, 36)
def convert_numeric_id_to_id36(numeric_id):
"""Convert an integer into its base36 string representation.
This method has been cleaned up slightly to improve readability. For more
info see:
https://github.com/reddit/reddit/blob/master/r2/r2/lib/utils/_utils.pyx
https://www.reddit.com/r/redditdev/comments/n624n/submission_ids_question/
https://en.wikipedia.org/wiki/Base36
"""
# base36 allows negative numbers, but reddit does not
if not isinstance(numeric_id, six.integer_types) or numeric_id < 0:
raise ValueError("must supply a positive int/long")
# Alphabet used for base 36 conversion
alphabet = '0123456789abcdefghijklmnopqrstuvwxyz'
alphabet_len = len(alphabet)
# Temp assign
current_number = numeric_id
base36 = []
# Current_number must be greater than alphabet length to while/divmod
if 0 <= current_number < alphabet_len:
return alphabet[current_number]
# Break up into chunks
while current_number != 0:
current_number, rem = divmod(current_number, alphabet_len)
base36.append(alphabet[rem])
# String is built in reverse order
return ''.join(reversed(base36))
def flatten_tree(tree, nested_attr='replies', depth_first=False):
"""Return a flattened version of the passed in tree.
:param nested_attr: The attribute name that contains the nested items.
Defaults to ``replies`` which is suitable for comments.
:param depth_first: When true, add to the list in a depth-first manner
rather than the default breadth-first manner.
"""
stack = deque(tree)
extend = stack.extend if depth_first else stack.extendleft
retval = []
while stack:
item = stack.popleft()
nested = getattr(item, nested_attr, None)
if nested:
extend(nested)
retval.append(item)
return retval
def normalize_url(url):
"""Return url after stripping trailing .json and trailing slashes."""
if url.endswith('.json'):
url = url[:-5]
if url.endswith('/'):
url = url[:-1]
return url
class BoundedSet(object):
"""A set with a maximum size that evicts the oldest items when necessary.
This class does not implement the complete set interface.
"""
def __init__(self, max_items):
"""Construct an instance of the BoundedSet."""
self.max_items = max_items
self._fifo = []
self._set = set()
def __contains__(self, item):
"""Test if the BoundedSet contains item."""
return item in self._set
def add(self, item):
"""Add an item to the set discarding the oldest item if necessary."""
if item in self._set:
self._fifo.remove(item)
elif len(self._set) == self.max_items:
self._set.remove(self._fifo.pop(0))
self._fifo.append(item)
self._set.add(item)
praw-3.3.0/praw/objects.py 0000666 0000000 0000000 00000225724 12603443222 014156 0 ustar root root # This file is part of PRAW.
#
# PRAW is free software: you can redistribute it and/or modify it under the
# terms of the GNU General Public License as published by the Free Software
# Foundation, either version 3 of the License, or (at your option) any later
# version.
#
# PRAW is distributed in the hope that it will be useful, but WITHOUT ANY
# WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR
# A PARTICULAR PURPOSE. See the GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License along with
# PRAW. If not, see .
"""
Contains code about objects such as Submissions, Redditors or Commments.
There are two main groups of objects in this file. The first are objects that
correspond to a Thing or part of a Thing as specified in reddit's API overview,
https://github.com/reddit/reddit/wiki/API. The second gives functionality that
extends over multiple Things. An object that extends from Saveable indicates
that it can be saved and unsaved in the context of a logged in user.
"""
from __future__ import print_function, unicode_literals
import six
from six.moves.urllib.parse import ( # pylint: disable=F0401
parse_qs, urlparse, urlunparse)
from heapq import heappop, heappush
from json import dumps
from requests.compat import urljoin
from warnings import warn_explicit
from praw import (AuthenticatedReddit as AR, ModConfigMixin as MCMix,
ModFlairMixin as MFMix, ModLogMixin as MLMix,
ModOnlyMixin as MOMix, ModSelfMixin as MSMix,
MultiredditMixin as MultiMix, PrivateMessagesMixin as PMMix,
SubmitMixin, SubscribeMixin, UnauthenticatedReddit as UR)
from praw.decorators import (alias_function, limit_chars, restrict_access,
deprecated)
from praw.errors import ClientException, InvalidComment
from praw.internal import (_get_redditor_listing, _get_sorter,
_modify_relationship)
REDDITOR_KEYS = ('approved_by', 'author', 'banned_by', 'redditor',
'revision_by')
class RedditContentObject(object):
"""Base class that represents actual reddit objects."""
@classmethod
def from_api_response(cls, reddit_session, json_dict):
"""Return an instance of the appropriate class from the json_dict."""
return cls(reddit_session, json_dict=json_dict)
def __init__(self, reddit_session, json_dict=None, fetch=True,
info_url=None, underscore_names=None, uniq=None):
"""Create a new object from the dict of attributes returned by the API.
The fetch parameter specifies whether to retrieve the object's
information from the API (only matters when it isn't provided using
json_dict).
"""
self._info_url = info_url or reddit_session.config['info']
self.reddit_session = reddit_session
self._underscore_names = underscore_names
self._uniq = uniq
self._has_fetched = self._populate(json_dict, fetch)
def __eq__(self, other):
"""Return whether the other instance equals the current."""
return (isinstance(other, RedditContentObject) and
self.fullname == other.fullname)
def __getattr__(self, attr):
"""Return the value of the `attr` attribute."""
if attr != '__setstate__' and not self._has_fetched:
self._has_fetched = self._populate(None, True)
return getattr(self, attr)
raise AttributeError('\'%s\' has no attribute \'%s\'' % (type(self),
attr))
def __getstate__(self):
"""Needed for `pickle`.
Without this, pickle protocol version 0 will make HTTP requests
upon serialization, hence slowing it down significantly.
"""
return self.__dict__
def __ne__(self, other):
"""Return whether the other instance differs from the current."""
return not self == other
def __reduce_ex__(self, _):
"""Needed for `pickle`.
Without this, `pickle` protocol version 2 will make HTTP requests
upon serialization, hence slowing it down significantly.
"""
return self.__reduce__()
def __setattr__(self, name, value):
"""Set the `name` attribute to `value."""
if value and name == 'subreddit':
value = Subreddit(self.reddit_session, value, fetch=False)
elif value and name in REDDITOR_KEYS:
if isinstance(value, bool):
pass
elif isinstance(value, dict):
value = Redditor(self.reddit_session, json_dict=value['data'])
elif not value or value == '[deleted]':
value = None
else:
value = Redditor(self.reddit_session, value, fetch=False)
object.__setattr__(self, name, value)
def __str__(self):
"""Return a string representation of the RedditContentObject."""
retval = self.__unicode__()
if not six.PY3:
retval = retval.encode('utf-8')
return retval
def _get_json_dict(self):
# (disabled for entire function) pylint: disable=W0212
# OAuth handling needs to be special cased here. For instance, the user
# might be calling a method on a Subreddit object that requires first
# loading the information about the subreddit. This method should try
# to obtain the information in a scope-less manner unless either:
# a) The object is a WikiPage and the reddit_session has the `wikiread`
# scope.
# b) The object is not a WikiPage and the reddit_session has the
# `read` scope.
prev_use_oauth = self.reddit_session._use_oauth
wiki_page = isinstance(self, WikiPage)
scope = self.reddit_session.has_scope
self.reddit_session._use_oauth = wiki_page and scope('wikiread') or \
not wiki_page and scope('read')
try:
params = {'uniq': self._uniq} if self._uniq else {}
response = self.reddit_session.request_json(
self._info_url, params=params, as_objects=False)
finally:
self.reddit_session._use_oauth = prev_use_oauth
return response['data']
def _populate(self, json_dict, fetch):
if json_dict is None:
json_dict = self._get_json_dict() if fetch else {}
if self.reddit_session.config.store_json_result is True:
self.json_dict = json_dict
else:
self.json_dict = None
# TODO: Remove this wikipagelisting hack
if isinstance(json_dict, list):
json_dict = {'_tmp': json_dict}
for name, value in six.iteritems(json_dict):
if self._underscore_names and name in self._underscore_names:
name = '_' + name
setattr(self, name, value)
self._post_populate(fetch)
return bool(json_dict) or fetch
def _post_populate(self, fetch):
"""Called after populating the attributes of the instance."""
@property
def fullname(self):
"""Return the object's fullname.
A fullname is an object's kind mapping like `t3` followed by an
underscore and the object's base36 id, e.g., `t1_c5s96e0`.
"""
by_object = self.reddit_session.config.by_object
return '%s_%s' % (by_object[self.__class__], self.id)
@property
@deprecated('``has_fetched`` will not be a public attribute in PRAW4.')
def has_fetched(self):
"""Return whether the object has been fully fetched from reddit."""
return self._has_fetched
class Moderatable(RedditContentObject):
"""Interface for Reddit content objects that have can be moderated."""
@restrict_access(scope='modposts')
def approve(self):
"""Approve object.
This reverts a removal, resets the report counter, marks it with a
green check mark (only visible to other moderators) on the website view
and sets the approved_by attribute to the logged in user.
:returns: The json response from the server.
"""
url = self.reddit_session.config['approve']
data = {'id': self.fullname}
response = self.reddit_session.request_json(url, data=data)
urls = [self.reddit_session.config[x] for x in ['modqueue', 'spam']]
if isinstance(self, Submission):
urls += self.subreddit._listing_urls # pylint: disable=W0212
self.reddit_session.evict(urls)
return response
@restrict_access(scope='modposts')
def distinguish(self, as_made_by='mod'):
"""Distinguish object as made by mod, admin or special.
Distinguished objects have a different author color. With Reddit
Enhancement Suite it is the background color that changes.
:returns: The json response from the server.
"""
url = self.reddit_session.config['distinguish']
data = {'id': self.fullname,
'how': 'yes' if as_made_by == 'mod' else as_made_by}
return self.reddit_session.request_json(url, data=data)
@restrict_access(scope='modposts')
def ignore_reports(self):
"""Ignore future reports on this object.
This prevents future reports from causing notifications or appearing
in the various moderation listing. The report count will still
increment.
"""
url = self.reddit_session.config['ignore_reports']
data = {'id': self.fullname}
return self.reddit_session.request_json(url, data=data)
@restrict_access(scope='modposts')
def remove(self, spam=False):
"""Remove object. This is the moderator version of delete.
The object is removed from the subreddit listings and placed into the
spam listing. If spam is set to True, then the automatic spam filter
will try to remove objects with similar attributes in the future.
:returns: The json response from the server.
"""
url = self.reddit_session.config['remove']
data = {'id': self.fullname,
'spam': 'True' if spam else 'False'}
response = self.reddit_session.request_json(url, data=data)
urls = [self.reddit_session.config[x] for x in ['modqueue', 'spam']]
if isinstance(self, Submission) and hasattr(self, 'subreddit'):
urls += self.subreddit._listing_urls # pylint: disable=W0212
self.reddit_session.evict(urls)
return response
def undistinguish(self):
"""Remove mod, admin or special distinguishing on object.
:returns: The json response from the server.
"""
return self.distinguish(as_made_by='no')
@restrict_access(scope='modposts')
def unignore_reports(self):
"""Remove ignoring of future reports on this object.
Undoes 'ignore_reports'. Future reports will now cause notifications
and appear in the various moderation listings.
"""
url = self.reddit_session.config['unignore_reports']
data = {'id': self.fullname}
return self.reddit_session.request_json(url, data=data)
class Editable(RedditContentObject):
"""Interface for Reddit content objects that can be edited and deleted."""
@restrict_access(scope='edit')
def delete(self):
"""Delete this object.
:returns: The json response from the server.
"""
url = self.reddit_session.config['del']
data = {'id': self.fullname}
response = self.reddit_session.request_json(url, data=data)
self.reddit_session.evict(self.reddit_session.config['user'])
return response
@restrict_access(scope='edit')
def edit(self, text):
"""Replace the body of the object with `text`.
:returns: The updated object.
"""
url = self.reddit_session.config['edit']
data = {'thing_id': self.fullname,
'text': text}
response = self.reddit_session.request_json(url, data=data)
self.reddit_session.evict(self.reddit_session.config['user'])
return response['data']['things'][0]
class Gildable(RedditContentObject):
"""Interface for RedditContentObjects that can be gilded."""
@restrict_access(scope='creddits', oauth_only=True)
def gild(self, months=None):
"""Gild the Redditor or author of the content.
:param months: Specifies the number of months to gild. This parameter
is Only valid when the instance called upon is of type
Redditor. When not provided, the value defaults to 1.
:returns: True on success, otherwise raises an exception.
"""
if isinstance(self, Redditor):
months = int(months) if months is not None else 1
if months < 1:
raise TypeError('months must be at least 1')
if months > 36:
raise TypeError('months must be no more than 36')
response = self.reddit_session.request(
self.reddit_session.config['gild_user'].format(
username=six.text_type(self)), data={'months': months})
elif months is not None:
raise TypeError('months is not a valid parameter for {0}'
.format(type(self)))
else:
response = self.reddit_session.request(
self.reddit_session.config['gild_thing']
.format(fullname=self.fullname), data=True)
return response.status_code == 200
class Hideable(RedditContentObject):
"""Interface for objects that can be hidden."""
def hide(self, _unhide=False):
"""Hide object in the context of the logged in user.
:param _unhide: If True, unhide the item instead. Use
:meth:`~praw.objects.Hideable.unhide` instead of setting this
manually.
:returns: The json response from the server.
"""
return self.reddit_session.hide(self.fullname, _unhide=_unhide)
def unhide(self):
"""Unhide object in the context of the logged in user.
:returns: The json response from the server.
"""
return self.hide(_unhide=True)
class Inboxable(RedditContentObject):
"""Interface for objects that appear in the inbox (orangereds)."""
def mark_as_read(self):
"""Mark object as read.
:returns: The json response from the server.
"""
return self.reddit_session._mark_as_read([self.fullname])
def mark_as_unread(self):
"""Mark object as unread.
:returns: The json response from the server.
"""
return self.reddit_session._mark_as_read([self.fullname], unread=True)
def reply(self, text):
"""Reply to object with the specified text.
:returns: A Comment object for the newly created comment (reply).
"""
# pylint: disable=W0212
response = self.reddit_session._add_comment(self.fullname, text)
# pylint: enable=W0212
urls = [self.reddit_session.config['inbox']]
if isinstance(self, Comment):
urls.append(self.submission._api_link) # pylint: disable=W0212
elif isinstance(self, Message):
urls.append(self.reddit_session.config['sent'])
self.reddit_session.evict(urls)
return response
class Messageable(RedditContentObject):
"""Interface for RedditContentObjects that can be messaged."""
_methods = (('send_message', PMMix),)
class Refreshable(RedditContentObject):
"""Interface for objects that can be refreshed."""
def refresh(self):
"""Re-query to update object with latest values. Return the object.
Any listing, such as the submissions on a subreddits top page, will
automatically be refreshed serverside. Refreshing a submission will
also refresh all its comments.
In the rare case of a submissions's comment[0] being deleted or
removed in between its original retrieval and refresh, or
inconsistencies between different endpoints resulting in this,
an IndexError will be thrown.
"""
unique = self.reddit_session._unique_count # pylint: disable=W0212
self.reddit_session._unique_count += 1 # pylint: disable=W0212
if isinstance(self, Redditor):
other = Redditor(self.reddit_session, self._case_name, fetch=True,
uniq=unique)
elif isinstance(self, Comment):
sub = Submission.from_url(self.reddit_session, self.permalink,
params={'uniq': unique})
other = sub.comments[0]
elif isinstance(self, Multireddit):
other = Multireddit(self.reddit_session, author=self._author,
name=self.name, uniq=unique, fetch=True)
elif isinstance(self, Submission):
params = self._params.copy()
params['uniq'] = unique
other = Submission.from_url(self.reddit_session, self.permalink,
comment_sort=self._comment_sort,
params=params)
elif isinstance(self, Subreddit):
other = Subreddit(self.reddit_session, self._case_name, fetch=True,
uniq=unique)
elif isinstance(self, WikiPage):
other = WikiPage(self.reddit_session,
six.text_type(self.subreddit), self.page,
fetch=True, uniq=unique)
self.__dict__ = other.__dict__ # pylint: disable=W0201
return self
class Reportable(RedditContentObject):
"""Interface for RedditContentObjects that can be reported."""
@restrict_access(scope='report')
def report(self, reason=None):
"""Report this object to the moderators.
:param reason: The user-supplied reason for reporting a comment
or submission. Default: None (blank reason)
:returns: The json response from the server.
"""
url = self.reddit_session.config['report']
data = {'id': self.fullname}
if reason:
data['reason'] = reason
response = self.reddit_session.request_json(url, data=data)
# Reported objects are automatically hidden as well
# pylint: disable=W0212
self.reddit_session.evict(
[self.reddit_session.config['user'],
urljoin(self.reddit_session.user._url, 'hidden')])
# pylint: enable=W0212
return response
class Saveable(RedditContentObject):
"""Interface for RedditContentObjects that can be saved."""
@restrict_access(scope='save')
def save(self, unsave=False):
"""Save the object.
:returns: The json response from the server.
"""
url = self.reddit_session.config['unsave' if unsave else 'save']
data = {'id': self.fullname,
'executed': 'unsaved' if unsave else 'saved'}
response = self.reddit_session.request_json(url, data=data)
self.reddit_session.evict(self.reddit_session.config['saved'])
return response
def unsave(self):
"""Unsave the object.
:returns: The json response from the server.
"""
return self.save(unsave=True)
class Voteable(RedditContentObject):
"""Interface for RedditContentObjects that can be voted on."""
def clear_vote(self):
"""Remove the logged in user's vote on the object.
Running this on an object with no existing vote has no adverse effects.
Note: votes must be cast by humans. That is, API clients proxying a
human's action one-for-one are OK, but bots deciding how to vote on
content or amplifying a human's vote are not. See the reddit rules for
more details on what constitutes vote cheating.
Source for note: http://www.reddit.com/dev/api#POST_api_vote
:returns: The json response from the server.
"""
return self.vote()
def downvote(self):
"""Downvote object. If there already is a vote, replace it.
Note: votes must be cast by humans. That is, API clients proxying a
human's action one-for-one are OK, but bots deciding how to vote on
content or amplifying a human's vote are not. See the reddit rules for
more details on what constitutes vote cheating.
Source for note: http://www.reddit.com/dev/api#POST_api_vote
:returns: The json response from the server.
"""
return self.vote(direction=-1)
def upvote(self):
"""Upvote object. If there already is a vote, replace it.
Note: votes must be cast by humans. That is, API clients proxying a
human's action one-for-one are OK, but bots deciding how to vote on
content or amplifying a human's vote are not. See the reddit rules for
more details on what constitutes vote cheating.
Source for note: http://www.reddit.com/dev/api#POST_api_vote
:returns: The json response from the server.
"""
return self.vote(direction=1)
@restrict_access(scope='vote')
def vote(self, direction=0):
"""Vote for the given item in the direction specified.
Note: votes must be cast by humans. That is, API clients proxying a
human's action one-for-one are OK, but bots deciding how to vote on
content or amplifying a human's vote are not. See the reddit rules for
more details on what constitutes vote cheating.
Source for note: http://www.reddit.com/dev/api#POST_api_vote
:returns: The json response from the server.
"""
url = self.reddit_session.config['vote']
data = {'id': self.fullname,
'dir': six.text_type(direction)}
if self.reddit_session.user:
# pylint: disable=W0212
urls = [urljoin(self.reddit_session.user._url, 'disliked'),
urljoin(self.reddit_session.user._url, 'liked')]
# pylint: enable=W0212
self.reddit_session.evict(urls)
return self.reddit_session.request_json(url, data=data)
class Comment(Editable, Gildable, Inboxable, Moderatable, Refreshable,
Reportable, Saveable, Voteable):
"""A class that represents a reddit comments."""
def __init__(self, reddit_session, json_dict):
"""Construct an instance of the Comment object."""
super(Comment, self).__init__(reddit_session, json_dict,
underscore_names=['replies'])
self._has_fetched_replies = not hasattr(self, 'was_comment')
if self._replies:
self._replies = self._replies['data']['children']
elif self._replies == '': # Comment tree was built and there are none
self._replies = []
else:
self._replies = None
self._submission = None
@limit_chars
def __unicode__(self):
"""Return a string representation of the comment."""
return getattr(self, 'body', '[Unloaded Comment]')
@property
def _fast_permalink(self):
"""Return the short permalink to the comment."""
if hasattr(self, 'link_id'): # from /r or /u comments page
sid = self.link_id.split('_')[1]
else: # from user's /message page
sid = self.context.split('/')[4]
return urljoin(self.reddit_session.config['comments'], '{0}/_/{1}'
.format(sid, self.id))
def _update_submission(self, submission):
"""Submission isn't set on __init__ thus we need to update it."""
submission._comments_by_id[self.name] = self # pylint: disable=W0212
self._submission = submission
if self._replies:
for reply in self._replies:
reply._update_submission(submission) # pylint: disable=W0212
@property
def is_root(self):
"""Return True when the comment is a top level comment."""
sub_prefix = self.reddit_session.config.by_object[Submission]
return self.parent_id.startswith(sub_prefix)
@property
def permalink(self):
"""Return a permalink to the comment."""
return urljoin(self.submission.permalink, self.id)
@property
def replies(self):
"""Return a list of the comment replies to this comment.
If the comment is not from a submission, :meth:`replies` will
always be an empty list unless you call :meth:`refresh()
before calling :meth:`replies` due to a limitation in
reddit's API.
"""
if self._replies is None or not self._has_fetched_replies:
response = self.reddit_session.request_json(self._fast_permalink)
if not response[1]['data']['children']:
raise InvalidComment('Comment is no longer accessible: {0}'
.format(self._fast_permalink))
# pylint: disable=W0212
self._replies = response[1]['data']['children'][0]._replies
# pylint: enable=W0212
self._has_fetched_replies = True
# Set the submission object if it is not set.
if not self._submission:
self._submission = response[0]['data']['children'][0]
return self._replies
@property
def submission(self):
"""Return the Submission object this comment belongs to."""
if not self._submission: # Comment not from submission
self._submission = self.reddit_session.get_submission(
url=self._fast_permalink)
return self._submission
class Message(Inboxable):
"""A class for private messages."""
@staticmethod
@restrict_access(scope='privatemessages')
def from_id(reddit_session, message_id, *args, **kwargs):
"""Request the url for a Message and return a Message object.
:param reddit_session: The session to make the request with.
:param message_id: The ID of the message to request.
The additional parameters are passed directly into
:meth:`.request_json`.
"""
# Reduce fullname to ID if necessary
message_id = message_id.split('_', 1)[-1]
url = reddit_session.config['message'] % message_id
message_info = reddit_session.request_json(url, *args, **kwargs)
message = message_info['data']['children'][0]
# Messages are received as a listing such that
# the first item is always the thread's root.
# The ID requested by the user may be a child.
if message.id == message_id:
return message
for child in message.replies:
if child.id == message_id:
return child
def __init__(self, reddit_session, json_dict):
"""Construct an instance of the Message object."""
super(Message, self).__init__(reddit_session, json_dict)
if self.replies: # pylint: disable=E0203
self.replies = self.replies['data']['children']
else:
self.replies = []
@limit_chars
def __unicode__(self):
"""Return a string representation of the Message."""
return 'From: %s\nSubject: %s\n\n%s' % (self.author, self.subject,
self.body)
@restrict_access(scope='privatemessages')
def collapse(self):
"""Collapse a private message or modmail."""
url = self.reddit_session.config['collapse_message']
self.reddit_session.request_json(url, data={'id': self.name})
@restrict_access(scope='privatemessages')
def uncollapse(self):
"""Uncollapse a private message or modmail."""
url = self.reddit_session.config['uncollapse_message']
self.reddit_session.request_json(url, data={'id': self.name})
class MoreComments(RedditContentObject):
"""A class indicating there are more comments."""
def __init__(self, reddit_session, json_dict):
"""Construct an instance of the MoreComment object."""
super(MoreComments, self).__init__(reddit_session, json_dict)
self.submission = None
self._comments = None
def __lt__(self, other):
"""Proide a sort order on the MoreComments object."""
# To work with heapq a "smaller" item is the one with the most comments
# We are intentionally making the biggest element the smallest element
# to turn the min-heap implementation in heapq into a max-heap
# implementation for Submission.replace_more_comments()
return self.count > other.count
def __unicode__(self):
"""Return a string representation of the MoreComments object."""
return '[More Comments: %d]' % self.count
def _continue_comments(self, update):
assert len(self.children) > 0
tmp = self.reddit_session.get_submission(urljoin(
self.submission.permalink, self.parent_id.split('_', 1)[1]))
assert len(tmp.comments) == 1
self._comments = tmp.comments[0].replies
if update:
for comment in self._comments:
# pylint: disable=W0212
comment._update_submission(self.submission)
# pylint: enable=W0212
return self._comments
def _update_submission(self, submission):
self.submission = submission
def comments(self, update=True):
"""Fetch and return the comments for a single MoreComments object."""
if not self._comments:
if self.count == 0: # Handle 'continue this thread' type
return self._continue_comments(update)
# pylint: disable=W0212
children = [x for x in self.children if 't1_%s' % x
not in self.submission._comments_by_id]
# pylint: enable=W0212
if not children:
return None
data = {'children': ','.join(children),
'link_id': self.submission.fullname,
'r': str(self.submission.subreddit)}
# pylint: disable=W0212
if self.submission._comment_sort:
data['where'] = self.submission._comment_sort
# pylint: enable=W0212
url = self.reddit_session.config['morechildren']
response = self.reddit_session.request_json(url, data=data)
self._comments = response['data']['things']
if update:
for comment in self._comments:
# pylint: disable=W0212
comment._update_submission(self.submission)
# pylint: enable=W0212
return self._comments
class Redditor(Gildable, Messageable, Refreshable):
"""A class representing the users of reddit."""
_methods = (('get_multireddit', MultiMix), ('get_multireddits', MultiMix))
get_comments = _get_redditor_listing('comments')
get_overview = _get_redditor_listing('')
get_submitted = _get_redditor_listing('submitted')
def __init__(self, reddit_session, user_name=None, json_dict=None,
fetch=False, **kwargs):
"""Construct an instance of the Redditor object."""
if not user_name:
user_name = json_dict['name']
info_url = reddit_session.config['user_about'] % user_name
# name is set before calling the parent constructor so that the
# json_dict 'name' attribute (if available) has precedence
self._case_name = user_name
super(Redditor, self).__init__(reddit_session, json_dict,
fetch, info_url, **kwargs)
self.name = self._case_name
self._url = reddit_session.config['user'] % self.name
self._mod_subs = None
def __repr__(self):
"""Return a code representation of the Redditor."""
return 'Redditor(user_name=\'{0}\')'.format(self.name)
def __unicode__(self):
"""Return a string representation of the Redditor."""
return self.name
def _post_populate(self, fetch):
if fetch:
# Maintain a consistent `name` until the user
# explicitly calls `redditor.refresh()`
tmp = self._case_name
self._case_name = self.name
self.name = tmp
@restrict_access(scope='subscribe')
def friend(self, note=None, _unfriend=False):
"""Friend the user.
:param note: A personal note about the user. Requires reddit Gold.
:param _unfriend: Unfriend the user. Please use :meth:`unfriend`
instead of setting this parameter manually.
:returns: The json response from the server.
"""
self.reddit_session.evict(self.reddit_session.config['friends'])
# Requests through password auth use /api/friend
# Requests through oauth use /api/v1/me/friends/%username%
if not self.reddit_session.is_oauth_session():
modifier = _modify_relationship('friend', unlink=_unfriend)
data = {'note': note} if note else {}
return modifier(self.reddit_session.user, self, **data)
url = self.reddit_session.config['friend_v1'].format(user=self.name)
# This endpoint wants the data to be a string instead of an actual
# dictionary, although it is not required to have any content for adds.
# Unfriending does require the 'id' key.
if _unfriend:
data = {'id': self.name}
else:
# We cannot send a null or empty note string.
data = {'note': note} if note else {}
data = dumps(data)
method = 'DELETE' if _unfriend else 'PUT'
return self.reddit_session.request_json(url, data=data, method=method)
def get_disliked(self, *args, **kwargs):
"""Return a listing of the Submissions the user has downvoted.
This method points to :meth:`get_downvoted`, as the "disliked" name
is being phased out.
"""
return self.get_downvoted(*args, **kwargs)
def get_downvoted(self, *args, **kwargs):
"""Return a listing of the Submissions the user has downvoted.
:returns: get_content generator of Submission items.
The additional parameters are passed directly into
:meth:`.get_content`. Note: the `url` parameter cannot be altered.
As a default, this listing is only accessible by the user. Thereby
requiring either user/pswd authentication or OAuth authentication with
the 'history' scope. Users may choose to make their voting record
public by changing a user preference. In this case, no authentication
will be needed to access this listing.
"""
# Sending an OAuth authenticated request for a redditor, who isn't the
# authenticated user. But who has a public voting record will be
# successful.
kwargs['_use_oauth'] = self.reddit_session.is_oauth_session()
return _get_redditor_listing('downvoted')(self, *args, **kwargs)
@restrict_access(scope='mysubreddits')
def get_friend_info(self):
"""Return information about this friend, including personal notes.
The personal note can be added or overwritten with :meth:friend, but
only if the user has reddit Gold.
:returns: The json response from the server.
"""
url = self.reddit_session.config['friend_v1'].format(user=self.name)
data = {'id': self.name}
return self.reddit_session.request_json(url, data=data, method='GET')
def get_liked(self, *args, **kwargs):
"""Return a listing of the Submissions the user has upvoted.
This method points to :meth:`get_upvoted`, as the "liked" name
is being phased out.
"""
return self.get_upvoted(*args, **kwargs)
def get_upvoted(self, *args, **kwargs):
"""Return a listing of the Submissions the user has upvoted.
:returns: get_content generator of Submission items.
The additional parameters are passed directly into
:meth:`.get_content`. Note: the `url` parameter cannot be altered.
As a default, this listing is only accessible by the user. Thereby
requirering either user/pswd authentication or OAuth authentication
with the 'history' scope. Users may choose to make their voting record
public by changing a user preference. In this case, no authentication
will be needed to access this listing.
"""
kwargs['_use_oauth'] = self.reddit_session.is_oauth_session()
return _get_redditor_listing('upvoted')(self, *args, **kwargs)
def mark_as_read(self, messages, unread=False):
"""Mark message(s) as read or unread.
:returns: The json response from the server.
"""
ids = []
if isinstance(messages, Inboxable):
ids.append(messages.fullname)
elif hasattr(messages, '__iter__'):
for msg in messages:
if not isinstance(msg, Inboxable):
raise ClientException('Invalid message type: %s'
% type(msg))
ids.append(msg.fullname)
else:
raise ClientException('Invalid message type: %s' % type(messages))
# pylint: disable=W0212
retval = self.reddit_session._mark_as_read(ids, unread=unread)
# pylint: enable=W0212
return retval
def unfriend(self):
"""Unfriend the user.
:returns: The json response from the server.
"""
return self.friend(_unfriend=True)
class LoggedInRedditor(Redditor):
"""A class representing a currently logged in Redditor."""
get_hidden = restrict_access('history')(_get_redditor_listing('hidden'))
get_saved = restrict_access('history')(_get_redditor_listing('saved'))
def get_blocked(self):
"""Return a UserList of Redditors with whom the user has blocked."""
url = self.reddit_session.config['blocked']
return self.reddit_session.request_json(url)
def get_cached_moderated_reddits(self):
"""Return a cached dictionary of the user's moderated reddits.
This list is used internally. Consider using the `get_my_moderation`
function instead.
"""
if self._mod_subs is None:
self._mod_subs = {'mod': self.reddit_session.get_subreddit('mod')}
for sub in self.reddit_session.get_my_moderation(limit=None):
self._mod_subs[six.text_type(sub).lower()] = sub
return self._mod_subs
@deprecated(':meth:`get_friends` has been moved to '
':class:`praw.AuthenticatedReddit` and will be removed from '
':class:`objects.LoggedInRedditor` in PRAW v4.0.0')
def get_friends(self, **params):
"""Return a UserList of Redditors with whom the user is friends.
This method has been moved to :class:`praw.AuthenticatedReddit.
"""
return self.reddit_session.get_friends(**params)
class ModAction(RedditContentObject):
"""A moderator action."""
def __init__(self, reddit_session, json_dict=None, fetch=False):
"""Construct an instance of the ModAction object."""
super(ModAction, self).__init__(reddit_session, json_dict, fetch)
def __unicode__(self):
"""Return a string reprsentation of the moderator action."""
return 'Action: {0}'.format(self.action)
class Submission(Editable, Gildable, Hideable, Moderatable, Refreshable,
Reportable, Saveable, Voteable):
"""A class for submissions to reddit."""
_methods = (('select_flair', AR),)
@staticmethod
def _extract_more_comments(tree):
"""Return a list of MoreComments objects removed from tree."""
more_comments = []
queue = [(None, x) for x in tree]
while len(queue) > 0:
parent, comm = queue.pop(0)
if isinstance(comm, MoreComments):
heappush(more_comments, comm)
if parent:
parent.replies.remove(comm)
else:
tree.remove(comm)
else:
for item in comm.replies:
queue.append((comm, item))
return more_comments
@staticmethod
def from_id(reddit_session, subreddit_id):
"""Return an edit-only submission object based on the id."""
pseudo_data = {'id': subreddit_id,
'permalink': '/comments/{0}'.format(subreddit_id)}
return Submission(reddit_session, pseudo_data)
@staticmethod
def from_json(json_response):
"""Return a submission object from the json response."""
submission = json_response[0]['data']['children'][0]
submission.comments = json_response[1]['data']['children']
return submission
@staticmethod
@restrict_access(scope='read')
def from_url(reddit_session, url, comment_limit=0, comment_sort=None,
comments_only=False, params=None):
"""Request the url and return a Submission object.
:param reddit_session: The session to make the request with.
:param url: The url to build the Submission object from.
:param comment_limit: The desired number of comments to fetch. If <= 0
fetch the default number for the session's user. If None, fetch the
maximum possible.
:param comment_sort: The sort order for retrieved comments. When None
use the default for the session's user.
:param comments_only: Return only the list of comments.
:param params: dictionary containing extra GET data to put in the url.
"""
if params is None:
params = {}
parsed = urlparse(url)
query_pairs = parse_qs(parsed.query)
get_params = dict((k, ",".join(v)) for k, v in query_pairs.items())
params.update(get_params)
url = urlunparse(parsed[:3] + ("", "", ""))
if comment_limit is None: # Fetch MAX
params['limit'] = 2048 # Just use a big number
elif comment_limit > 0: # Use value
params['limit'] = comment_limit
if comment_sort:
params['sort'] = comment_sort
response = reddit_session.request_json(url, params=params)
if comments_only:
return response[1]['data']['children']
submission = Submission.from_json(response)
submission._comment_sort = comment_sort # pylint: disable=W0212
submission._params = params # pylint: disable=W0212
return submission
def __init__(self, reddit_session, json_dict):
"""Construct an instance of the Subreddit object."""
super(Submission, self).__init__(reddit_session, json_dict)
# pylint: disable=E0203
self._api_link = urljoin(reddit_session.config.api_url, self.permalink)
# pylint: enable=E0203
self.permalink = urljoin(reddit_session.config.permalink_url,
self.permalink)
self._comment_sort = None
self._comments_by_id = {}
self._comments = None
self._orphaned = {}
self._replaced_more = False
self._params = {}
@limit_chars
def __unicode__(self):
"""Return a string representation of the Subreddit.
Note: The representation is truncated to a fix number of characters.
"""
title = self.title.replace('\r\n', ' ')
return six.text_type('{0} :: {1}').format(self.score, title)
def _insert_comment(self, comment):
if comment.name in self._comments_by_id: # Skip existing comments
return
comment._update_submission(self) # pylint: disable=W0212
if comment.name in self._orphaned: # Reunite children with parent
comment.replies.extend(self._orphaned[comment.name])
del self._orphaned[comment.name]
if comment.is_root:
self._comments.append(comment)
elif comment.parent_id in self._comments_by_id:
self._comments_by_id[comment.parent_id].replies.append(comment)
else: # Orphan
if comment.parent_id in self._orphaned:
self._orphaned[comment.parent_id].append(comment)
else:
self._orphaned[comment.parent_id] = [comment]
def _update_comments(self, comments):
self._comments = comments
for comment in self._comments:
comment._update_submission(self) # pylint: disable=W0212
def add_comment(self, text):
"""Comment on the submission using the specified text.
:returns: A Comment object for the newly created comment.
"""
# pylint: disable=W0212
response = self.reddit_session._add_comment(self.fullname, text)
# pylint: enable=W0212
self.reddit_session.evict(self._api_link) # pylint: disable=W0212
return response
@property
def comments(self): # pylint: disable=E0202
"""Return forest of comments, with top-level comments as tree roots.
May contain instances of MoreComment objects. To easily replace these
objects with Comment objects, use the replace_more_comments method then
fetch this attribute. Use comment replies to walk down the tree. To get
an unnested, flat list of comments from this attribute use
helpers.flatten_tree.
"""
if self._comments is None:
self.comments = Submission.from_url( # pylint: disable=W0212
self.reddit_session, self._api_link, comments_only=True)
return self._comments
@comments.setter # NOQA
def comments(self, new_comments): # pylint: disable=E0202
"""Update the list of comments with the provided nested list."""
self._update_comments(new_comments)
self._orphaned = {}
def get_duplicates(self, *args, **kwargs):
"""Return a get_content generator for the submission's duplicates.
:returns: get_content generator iterating over Submission objects.
The additional parameters are passed directly into
:meth:`.get_content`. Note: the `url` and `object_filter` parameters
cannot be altered.
"""
url = self.reddit_session.config['duplicates'] % self.id
return self.reddit_session.get_content(url, *args, object_filter=1,
**kwargs)
def get_flair_choices(self, *args, **kwargs):
"""Return available link flair choices and current flair.
Convenience function for
:meth:`~.AuthenticatedReddit.get_flair_choices` populating both the
`subreddit` and `link` parameters.
:returns: The json response from the server.
"""
return self.subreddit.get_flair_choices(self.fullname, *args, **kwargs)
def mark_as_nsfw(self, unmark_nsfw=False):
"""Mark as Not Safe For Work.
Requires that the currently authenticated user is the author of the
submission, has the modposts oauth scope or has user/password
authentication as a mod of the subreddit.
:returns: The json response from the server.
"""
def mark_as_nsfw_helper(self): # pylint: disable=W0613
# It is necessary to have the 'self' argument as it's needed in
# restrict_access to determine what class the decorator is
# operating on.
url = self.reddit_session.config['unmarknsfw' if unmark_nsfw else
'marknsfw']
data = {'id': self.fullname}
return self.reddit_session.request_json(url, data=data)
is_author = (self.reddit_session.is_logged_in() and self.author ==
self.reddit_session.user)
if is_author:
return mark_as_nsfw_helper(self)
else:
return restrict_access('modposts')(mark_as_nsfw_helper)(self)
def replace_more_comments(self, limit=32, threshold=1):
"""Update the comment tree by replacing instances of MoreComments.
:param limit: The maximum number of MoreComments objects to
replace. Each replacement requires 1 API request. Set to None to
have no limit, or to 0 to make no extra requests. Default: 32
:param threshold: The minimum number of children comments a
MoreComments object must have in order to be replaced. Default: 1
:returns: A list of MoreComments objects that were not replaced.
Note that after making this call, the `comments` attribute of the
submission will no longer contain any MoreComments objects. Items that
weren't replaced are still removed from the tree, and will be included
in the returned list.
"""
if self._replaced_more:
return []
remaining = limit
more_comments = self._extract_more_comments(self.comments)
skipped = []
# Fetch largest more_comments until reaching the limit or the threshold
while more_comments:
item = heappop(more_comments)
if remaining == 0: # We're not going to replace any more
heappush(more_comments, item) # It wasn't replaced
break
elif len(item.children) == 0 or 0 < item.count < threshold:
heappush(skipped, item) # It wasn't replaced
continue
# Fetch new comments and decrease remaining if a request was made
new_comments = item.comments(update=False)
if new_comments is not None and remaining is not None:
remaining -= 1
elif new_comments is None:
continue
# Re-add new MoreComment objects to the heap of more_comments
for more in self._extract_more_comments(new_comments):
more._update_submission(self) # pylint: disable=W0212
heappush(more_comments, more)
# Insert the new comments into the tree
for comment in new_comments:
self._insert_comment(comment)
self._replaced_more = True
return more_comments + skipped
def set_flair(self, *args, **kwargs):
"""Set flair for this submission.
Convenience function that utilizes :meth:`.ModFlairMixin.set_flair`
populating both the `subreddit` and `item` parameters.
:returns: The json response from the server.
"""
return self.subreddit.set_flair(self, *args, **kwargs)
@restrict_access(scope='modposts')
def set_contest_mode(self, state=True):
"""Set 'Contest Mode' for the comments of this submission.
Contest mode have the following effects:
* The comment thread will default to being sorted randomly.
* Replies to top-level comments will be hidden behind
"[show replies]" buttons.
* Scores will be hidden from non-moderators.
* Scores accessed through the API (mobile apps, bots) will be
obscured to "1" for non-moderators.
Source for effects: https://www.reddit.com/159bww/
:returns: The json response from the server.
"""
# TODO: Whether a submission is in contest mode is not exposed via the
# API. Adding a test of this method is thus currently impossible.
# Add a test when it becomes possible.
url = self.reddit_session.config['contest_mode']
data = {'id': self.fullname, 'state': state}
return self.reddit_session.request_json(url, data=data)
@restrict_access(scope='modposts')
def set_suggested_sort(self, sort='blank'):
"""Set 'Suggested Sort' for the comments of the submission.
Comments can be sorted in one of (confidence, top, new, hot,
controversial, old, random, qa, blank).
:returns: The json response from the server.
"""
url = self.reddit_session.config['suggested_sort']
data = {'id': self.fullname, 'sort': sort}
return self.reddit_session.request_json(url, data=data)
@property
def short_link(self):
"""Return a short link to the submission.
The short link points to a page on the short_domain that redirects to
the main. For example http://redd.it/eorhm is a short link for
https://www.reddit.com/r/announcements/comments/eorhm/reddit_30_less_typing/.
"""
return urljoin(self.reddit_session.config.short_domain, self.id)
@restrict_access(scope='modposts')
def sticky(self, bottom=True):
"""Sticky a post in its subreddit.
If there is already a stickied post in the designated slot it will be
unstickied.
:param bottom: Set this as the top or bottom sticky. If no top sticky
exists, this submission will become the top sticky regardless.
:returns: The json response from the server
"""
url = self.reddit_session.config['sticky_submission']
data = {'id': self.fullname, 'state': True}
if not bottom:
data['num'] = 1
return self.reddit_session.request_json(url, data=data)
def unmark_as_nsfw(self):
"""Mark as Safe For Work.
:returns: The json response from the server.
"""
return self.mark_as_nsfw(unmark_nsfw=True)
@restrict_access(scope='modposts')
def unset_contest_mode(self):
"""Unset 'Contest Mode' for the comments of this submission.
Contest mode have the following effects:
* The comment thread will default to being sorted randomly.
* Replies to top-level comments will be hidden behind
"[show replies]" buttons.
* Scores will be hidden from non-moderators.
* Scores accessed through the API (mobile apps, bots) will be
obscured to "1" for non-moderators.
Source for effects: http://www.reddit.com/159bww/
:returns: The json response from the server.
"""
return self.set_contest_mode(False)
@restrict_access(scope='modposts')
def unsticky(self):
"""Unsticky this post.
:returns: The json response from the server
"""
url = self.reddit_session.config['sticky_submission']
data = {'id': self.fullname, 'state': False}
return self.reddit_session.request_json(url, data=data)
class Subreddit(Messageable, Refreshable):
"""A class for Subreddits."""
_methods = (('accept_moderator_invite', AR),
('add_flair_template', MFMix),
('clear_flair_templates', MFMix),
('configure_flair', MFMix),
('delete_flair', MFMix),
('delete_image', MCMix),
('edit_wiki_page', AR),
('get_banned', MOMix),
('get_comments', UR),
('get_contributors', MOMix),
('get_edited', MOMix),
('get_flair', UR),
('get_flair_choices', AR),
('get_flair_list', MFMix),
('get_moderators', UR),
('get_mod_log', MLMix),
('get_mod_queue', MOMix),
('get_mod_mail', MOMix),
('get_random_submission', UR),
('get_reports', MOMix),
('get_settings', MCMix),
('get_spam', MOMix),
('get_sticky', UR),
('get_stylesheet', MOMix),
('get_unmoderated', MOMix),
('get_wiki_banned', MOMix),
('get_wiki_contributors', MOMix),
('get_wiki_page', UR),
('get_wiki_pages', UR),
('leave_contributor', MSMix),
('leave_moderator', MSMix),
('search', UR),
('select_flair', AR),
('set_flair', MFMix),
('set_flair_csv', MFMix),
('set_settings', MCMix),
('set_stylesheet', MCMix),
('submit', SubmitMixin),
('subscribe', SubscribeMixin),
('unsubscribe', SubscribeMixin),
('update_settings', MCMix),
('upload_image', MCMix))
# Subreddit banned
add_ban = _modify_relationship('banned', is_sub=True)
remove_ban = _modify_relationship('banned', unlink=True, is_sub=True)
# Subreddit contributors
add_contributor = _modify_relationship('contributor', is_sub=True)
remove_contributor = _modify_relationship('contributor', unlink=True,
is_sub=True)
# Subreddit moderators
add_moderator = _modify_relationship('moderator', is_sub=True)
remove_moderator = _modify_relationship('moderator', unlink=True,
is_sub=True)
# Subreddit wiki banned
add_wiki_ban = _modify_relationship('wikibanned', is_sub=True)
remove_wiki_ban = _modify_relationship('wikibanned', unlink=True,
is_sub=True)
# Subreddit wiki contributors
add_wiki_contributor = _modify_relationship('wikicontributor', is_sub=True)
remove_wiki_contributor = _modify_relationship('wikicontributor',
unlink=True, is_sub=True)
# Generic listing selectors
get_controversial = _get_sorter('controversial')
get_hot = _get_sorter('')
get_new = _get_sorter('new')
get_top = _get_sorter('top')
# Explicit listing selectors
get_controversial_from_all = _get_sorter('controversial', t='all')
get_controversial_from_day = _get_sorter('controversial', t='day')
get_controversial_from_hour = _get_sorter('controversial', t='hour')
get_controversial_from_month = _get_sorter('controversial', t='month')
get_controversial_from_week = _get_sorter('controversial', t='week')
get_controversial_from_year = _get_sorter('controversial', t='year')
get_rising = _get_sorter('rising')
get_top_from_all = _get_sorter('top', t='all')
get_top_from_day = _get_sorter('top', t='day')
get_top_from_hour = _get_sorter('top', t='hour')
get_top_from_month = _get_sorter('top', t='month')
get_top_from_week = _get_sorter('top', t='week')
get_top_from_year = _get_sorter('top', t='year')
def __init__(self, reddit_session, subreddit_name=None, json_dict=None,
fetch=False, **kwargs):
"""Construct an instance of the Subreddit object."""
# Special case for when my_subreddits is called as no name is returned
# so we have to extract the name from the URL. The URLs are returned
# as: /r/reddit_name/
if not subreddit_name:
subreddit_name = json_dict['url'].split('/')[2]
if fetch and ('+' in subreddit_name or '-' in subreddit_name):
fetch = False
warn_explicit('fetch=True has no effect on multireddits',
UserWarning, '', 0)
info_url = reddit_session.config['subreddit_about'] % subreddit_name
self._case_name = subreddit_name
super(Subreddit, self).__init__(reddit_session, json_dict, fetch,
info_url, **kwargs)
self.display_name = self._case_name
self._url = reddit_session.config['subreddit'] % self.display_name
# '' is the hot listing
listings = ['new/', '', 'top/', 'controversial/', 'rising/']
base = (reddit_session.config['subreddit'] % self.display_name)
self._listing_urls = [base + x + '.json' for x in listings]
def __repr__(self):
"""Return a code representation of the Subreddit."""
return 'Subreddit(subreddit_name=\'{0}\')'.format(self.display_name)
def __unicode__(self):
"""Return a string representation of the Subreddit."""
return self.display_name
def _post_populate(self, fetch):
if fetch:
# Maintain a consistent `display_name` until the user
# explicitly calls `subreddit.refresh()`
tmp = self._case_name
self._case_name = self.display_name
self.display_name = tmp
def clear_all_flair(self):
"""Remove all user flair on this subreddit.
:returns: The json response from the server when there is flair to
clear, otherwise returns None.
"""
csv = [{'user': x['user']} for x in self.get_flair_list(limit=None)]
if csv:
return self.set_flair_csv(csv)
else:
return
class Multireddit(Refreshable):
"""A class for users' Multireddits."""
# Generic listing selectors
get_controversial = _get_sorter('controversial')
get_hot = _get_sorter('')
get_new = _get_sorter('new')
get_top = _get_sorter('top')
# Explicit listing selectors
get_controversial_from_all = _get_sorter('controversial', t='all')
get_controversial_from_day = _get_sorter('controversial', t='day')
get_controversial_from_hour = _get_sorter('controversial', t='hour')
get_controversial_from_month = _get_sorter('controversial', t='month')
get_controversial_from_week = _get_sorter('controversial', t='week')
get_controversial_from_year = _get_sorter('controversial', t='year')
get_rising = _get_sorter('rising')
get_top_from_all = _get_sorter('top', t='all')
get_top_from_day = _get_sorter('top', t='day')
get_top_from_hour = _get_sorter('top', t='hour')
get_top_from_month = _get_sorter('top', t='month')
get_top_from_week = _get_sorter('top', t='week')
get_top_from_year = _get_sorter('top', t='year')
@classmethod
def from_api_response(cls, reddit_session, json_dict):
"""Return an instance of the appropriate class from the json dict."""
# The Multireddit response contains the Subreddits attribute as a list
# of dicts of the form {'name': 'subredditname'}.
# We must convert each of these into a Subreddit object.
json_dict['subreddits'] = [Subreddit(reddit_session, item['name'])
for item in json_dict['subreddits']]
return cls(reddit_session, None, None, json_dict)
def __init__(self, reddit_session, author=None, name=None,
json_dict=None, fetch=False, **kwargs):
"""Construct an instance of the Multireddit object."""
author = six.text_type(author) if author \
else json_dict['path'].split('/')[-3]
if not name:
name = json_dict['path'].split('/')[-1]
info_url = reddit_session.config['multireddit_about'] % (author, name)
self.name = name
self._author = author
super(Multireddit, self).__init__(reddit_session, json_dict, fetch,
info_url, **kwargs)
self._url = reddit_session.config['multireddit'] % (author, name)
def __repr__(self):
"""Return a code representation of the Multireddit."""
return 'Multireddit(author=\'{0}\', name=\'{1}\')'.format(
self._author, self.name)
def __unicode__(self):
"""Return a string representation of the Multireddit."""
return self.name
def _post_populate(self, fetch):
if fetch:
# Subreddits are returned as dictionaries in the form
# {'name': 'subredditname'}. Convert them to Subreddit objects.
self.subreddits = [Subreddit(self.reddit_session, item['name'])
for item in self.subreddits]
# paths are of the form "/user/{USERNAME}/m/{MULTINAME}"
author = self.path.split('/')[2]
self.author = Redditor(self.reddit_session, author)
@restrict_access(scope='subscribe')
def add_subreddit(self, subreddit, _delete=False, *args, **kwargs):
"""Add a subreddit to the multireddit.
:param subreddit: The subreddit name or Subreddit object to add
The additional parameters are passed directly into
:meth:`~praw.__init__.BaseReddit.request_json`.
"""
subreddit = six.text_type(subreddit)
url = self.reddit_session.config['multireddit_add'] % (
self._author, self.name, subreddit)
method = 'DELETE' if _delete else 'PUT'
self.reddit_session.http.headers['x-modhash'] = \
self.reddit_session.modhash
data = {'model': dumps({'name': subreddit})}
try:
self.reddit_session.request(url, data=data, method=method,
*args, **kwargs)
finally:
del self.reddit_session.http.headers['x-modhash']
@restrict_access(scope='subscribe')
def copy(self, to_name):
"""Copy this multireddit.
Convenience function that utilizes
:meth:`.MultiredditMixin.copy_multireddit` populating both
the `from_redditor` and `from_name` parameters.
"""
return self.reddit_session.copy_multireddit(self._author, self.name,
to_name)
@restrict_access(scope='subscribe')
def delete(self):
"""Delete this multireddit.
Convenience function that utilizes
:meth:`.MultiredditMixin.delete_multireddit` populating the `name`
parameter.
"""
return self.reddit_session.delete_multireddit(self.name)
@restrict_access(scope='subscribe')
def edit(self, *args, **kwargs):
"""Edit this multireddit.
Convenience function that utilizes
:meth:`.MultiredditMixin.edit_multireddit` populating the `name`
parameter.
"""
return self.reddit_session.edit_multireddit(name=self.name, *args,
**kwargs)
@restrict_access(scope='subscribe')
def remove_subreddit(self, subreddit, *args, **kwargs):
"""Remove a subreddit from the user's multireddit."""
return self.add_subreddit(subreddit, True, *args, **kwargs)
@restrict_access(scope='subscribe')
def rename(self, new_name, *args, **kwargs):
"""Rename this multireddit.
This function is a handy shortcut to
:meth:`rename_multireddit` of the reddit_session.
"""
new = self.reddit_session.rename_multireddit(self.name, new_name,
*args, **kwargs)
self.__dict__ = new.__dict__ # pylint: disable=W0201
return self
class PRAWListing(RedditContentObject):
"""An abstract class to coerce a listing into RedditContentObjects."""
CHILD_ATTRIBUTE = None
def __init__(self, reddit_session, json_dict=None, fetch=False):
"""Construct an instance of the PRAWListing object."""
super(PRAWListing, self).__init__(reddit_session, json_dict, fetch)
if not self.CHILD_ATTRIBUTE:
raise NotImplementedError('PRAWListing must be extended.')
child_list = getattr(self, self.CHILD_ATTRIBUTE)
for i in range(len(child_list)):
child_list[i] = self._convert(reddit_session, child_list[i])
def __contains__(self, item):
"""Test if item exists in the listing."""
return item in getattr(self, self.CHILD_ATTRIBUTE)
def __delitem__(self, index):
"""Remove the item at position index from the listing."""
del getattr(self, self.CHILD_ATTRIBUTE)[index]
def __getitem__(self, index):
"""Return the item at position index in the listing."""
return getattr(self, self.CHILD_ATTRIBUTE)[index]
def __iter__(self):
"""Return an iterator to the listing."""
return getattr(self, self.CHILD_ATTRIBUTE).__iter__()
def __len__(self):
"""Return the number of items in the listing."""
return len(getattr(self, self.CHILD_ATTRIBUTE))
def __setitem__(self, index, item):
"""Set item at position `index` in the listing."""
getattr(self, self.CHILD_ATTRIBUTE)[index] = item
def __unicode__(self):
"""Return a string representation of the listing."""
return six.text_type(getattr(self, self.CHILD_ATTRIBUTE))
class UserList(PRAWListing):
"""A list of Redditors. Works just like a regular list."""
CHILD_ATTRIBUTE = 'children'
@staticmethod
def _convert(reddit_session, data):
"""Return a Redditor object from the data."""
retval = Redditor(reddit_session, data['name'], fetch=False)
retval.id = data['id'].split('_')[1] # pylint: disable=C0103,W0201
return retval
class WikiPage(Refreshable):
"""An individual WikiPage object."""
@classmethod
def from_api_response(cls, reddit_session, json_dict):
"""Return an instance of the appropriate class from the json_dict."""
# The WikiPage response does not contain the necessary information
# in the JSON response to determine the name of the page nor the
# subreddit it belongs to. Thus we must extract this information
# from the request URL.
# pylint: disable=W0212
parts = reddit_session._request_url.split('/', 6)
# pylint: enable=W0212
subreddit = parts[4]
page = parts[6].split('.', 1)[0]
return cls(reddit_session, subreddit, page, json_dict=json_dict)
def __init__(self, reddit_session, subreddit=None, page=None,
json_dict=None, fetch=False, **kwargs):
"""Construct an instance of the WikiPage object."""
if not subreddit and not page:
subreddit = json_dict['sr']
page = json_dict['page']
info_url = reddit_session.config['wiki_page'] % (
six.text_type(subreddit), page)
super(WikiPage, self).__init__(reddit_session, json_dict, fetch,
info_url, **kwargs)
self.page = page
self.subreddit = subreddit
def __unicode__(self):
"""Return a string representation of the page."""
return six.text_type('{0}:{1}').format(self.subreddit, self.page)
@restrict_access(scope='modwiki')
def add_editor(self, username, _delete=False, *args, **kwargs):
"""Add an editor to this wiki page.
:param username: The name or Redditor object of the user to add.
:param _delete: If True, remove the user as an editor instead.
Please use :meth:`remove_editor` rather than setting it manually.
Additional parameters are passed into
:meth:`~praw.__init__.BaseReddit.request_json`.
"""
url = self.reddit_session.config['wiki_page_editor']
url = url % (six.text_type(self.subreddit),
'del' if _delete else 'add')
data = {'page': self.page,
'username': six.text_type(username)}
return self.reddit_session.request_json(url, data=data, *args,
**kwargs)
@restrict_access(scope='modwiki')
def get_settings(self, *args, **kwargs):
"""Return the settings for this wiki page.
Includes permission level, names of editors, and whether
the page is listed on /wiki/pages.
Additional parameters are passed into
:meth:`~praw.__init__.BaseReddit.request_json`
"""
url = self.reddit_session.config['wiki_page_settings']
url = url % (six.text_type(self.subreddit), self.page)
return self.reddit_session.request_json(url, *args, **kwargs)['data']
def edit(self, *args, **kwargs):
"""Edit the wiki page.
Convenience function that utilizes
:meth:`.AuthenticatedReddit.edit_wiki_page` populating both the
``subreddit`` and ``page`` parameters.
"""
return self.subreddit.edit_wiki_page(self.page, *args, **kwargs)
@restrict_access(scope='modwiki')
def edit_settings(self, permlevel, listed, *args, **kwargs):
"""Edit the settings for this individual wiki page.
:param permlevel: Who can edit this page?
(0) use subreddit wiki permissions, (1) only approved wiki
contributors for this page may edit (see
:meth:`~praw.objects.WikiPage.add_editor`), (2) only mods may edit
and view
:param listed: Show this page on the listing?
True - Appear in /wiki/pages
False - Do not appear in /wiki/pages
:returns: The updated settings data.
Additional parameters are passed into :meth:`request_json`.
"""
url = self.reddit_session.config['wiki_page_settings']
url = url % (six.text_type(self.subreddit), self.page)
data = {'permlevel': permlevel,
'listed': 'on' if listed else 'off'}
return self.reddit_session.request_json(url, data=data, *args,
**kwargs)['data']
def remove_editor(self, username, *args, **kwargs):
"""Remove an editor from this wiki page.
:param username: The name or Redditor object of the user to remove.
This method points to :meth:`add_editor` with _delete=True.
Additional parameters are are passed to :meth:`add_editor` and
subsequently into :meth:`~praw.__init__.BaseReddit.request_json`.
"""
return self.add_editor(username=username, _delete=True, *args,
**kwargs)
class WikiPageListing(PRAWListing):
"""A list of WikiPages. Works just like a regular list."""
CHILD_ATTRIBUTE = '_tmp'
@staticmethod
def _convert(reddit_session, data):
"""Return a WikiPage object from the data."""
# TODO: The _request_url hack shouldn't be necessary
# pylint: disable=W0212
subreddit = reddit_session._request_url.rsplit('/', 4)[1]
# pylint: enable=W0212
return WikiPage(reddit_session, subreddit, data, fetch=False)
def _add_aliases():
def predicate(obj):
return inspect.isclass(obj) and hasattr(obj, '_methods')
import inspect
import sys
for _, cls in inspect.getmembers(sys.modules[__name__], predicate):
for name, mixin in cls._methods: # pylint: disable=W0212
setattr(cls, name, alias_function(getattr(mixin, name),
mixin.__name__))
_add_aliases()