


"""simple docstring"""


import json
import os
import unittest

from transformers.models.blenderbot_small.tokenization_blenderbot_small import (
    VOCAB_FILES_NAMES,
    BlenderbotSmallTokenizer,
)

from ...test_tokenization_common import TokenizerTesterMixin



class 			lowerCamelCase__						(   UpperCAmelCase_							,    unittest.TestCase			):
						lowerCAmelCase       =     BlenderbotSmallTokenizer
						lowerCAmelCase       =     False







						def __a						(							self   :    List[Any]		):
								super().setUp()

								A					       = ['__start__', 'adapt', 'act', 'ap@@', 'te', '__end__', '__unk__']
								A					       = dict(zip(_lowercase			,			range(len(_lowercase		)		)		)		)

								A					       = ['#version: 0.2', 'a p', 't e</w>', 'ap t</w>', 'a d', 'ad apt</w>', 'a c', 'ac t</w>', '']
								A					       = {'unk_token': '__unk__', 'bos_token': '__start__', 'eos_token': '__end__'}

								A					       = os.path.join(self.tmpdirname			,			VOCAB_FILES_NAMES['vocab_file']		)
								A					       = os.path.join(self.tmpdirname			,			VOCAB_FILES_NAMES['merges_file']		)
								with open(self.vocab_file			,			'w'			,			encoding='utf-8'		) as fp:
										fp.write(json.dumps(_lowercase		) + '\n'		)
								with open(self.merges_file			,			'w'			,			encoding='utf-8'		) as fp:
										fp.write('\n'.join(_lowercase		)		)







						def __a						(							self   :    Union[str, Any]			,			**_lowercase   :    Dict		):
								kwargs.update(self.special_tokens_map		)
								return BlenderbotSmallTokenizer.from_pretrained(self.tmpdirname			,			**_lowercase		)







						def __a						(							self   :    Union[str, Any]			,			_lowercase   :    Union[str, Any]		):
								A					       = 'adapt act apte'
								A					       = 'adapt act apte'
								return input_text, output_text







						def __a						(							self   :    List[Any]		):
								A					       = BlenderbotSmallTokenizer(self.vocab_file			,			self.merges_file			,			**self.special_tokens_map		)
								A					       = 'adapt act apte'
								A					       = ['adapt', 'act', 'ap@@', 'te']
								A					       = tokenizer.tokenize(_lowercase		)
								self.assertListEqual(_lowercase			,			_lowercase		)

								A					       = [tokenizer.bos_token] + tokens + [tokenizer.eos_token]

								A					       = [0, 1, 2, 3, 4, 5]
								self.assertListEqual(tokenizer.convert_tokens_to_ids(_lowercase		)			,			_lowercase		)







						def __a						(							self   :    str		):
								A					       = BlenderbotSmallTokenizer.from_pretrained('facebook/blenderbot-90M'		)
								assert tok('sam'		).input_ids == [1_384]
								A					       = 'I am a small frog.'
								A					       = tok([src_text]			,			padding=_lowercase			,			truncation=_lowercase		)['input_ids']
								A					       = tok.batch_decode(_lowercase			,			skip_special_tokens=_lowercase			,			clean_up_tokenization_spaces=_lowercase		)[0]
								assert src_text != decoded  # I wish it did!
								assert decoded == "i am a small frog ."







						def __a						(							self   :    int		):
								A					       = BlenderbotSmallTokenizer.from_pretrained('facebook/blenderbot-90M'		)
								A					       = 'I am a small frog .'
								A					       = '.'
								A					       = tok(_lowercase		)['input_ids']
								A					       = tok(_lowercase		)['input_ids']

								assert encoded[-1] == encoded_dot[0]









"""simple docstring"""


from datetime import datetime as dt
import os

from github import Github


UpperCamelCase						:				Union[str, Any]             =      [
    "good first issue",
    "good second issue",
    "good difficult issue",
    "feature request",
    "new model",
    "wip",
]







def  __snake_case       (   )      ->		int:







		"""simple docstring"""





		A					       = Github(os.environ['GITHUB_TOKEN']	)
		A					       = g.get_repo('huggingface/transformers'	)
		A					       = repo.get_issues(state='open'	)

		for issue in open_issues:
				A					       = sorted([comment for comment in issue.get_comments()] ,			key=lambda UpperCamelCase__	: i.created_at ,			reverse=UpperCamelCase__	)
				A					       = comments[0] if len(UpperCamelCase__	) > 0 else None
				if (
				    last_comment is not None
				    and last_comment.user.login == "github-actions[bot]"
				    and (dt.utcnow() - issue.updated_at).days > 7
				    and (dt.utcnow() - issue.created_at).days >= 30
				    and not any(label.name.lower() in LABELS_TO_EXEMPT for label in issue.get_labels()	)
				):
						# print(f"Would close issue {issue.number} since it has been 7 days of inactivity since bot mention.")
						issue.edit(state='closed'	)
				elif (
				    (dt.utcnow() - issue.updated_at).days > 23
				    and (dt.utcnow() - issue.created_at).days >= 30
				    and not any(label.name.lower() in LABELS_TO_EXEMPT for label in issue.get_labels()	)
				):
						# print(f"Would add stale comment to {issue.number}")
						issue.create_comment(
						    'This issue has been automatically marked as stale because it has not had '
						    'recent activity. If you think this still needs to be addressed '
						    'please comment on this thread.\n\nPlease note that issues that do not follow the '
						    '[contributing guidelines](https://github.com/huggingface/transformers/blob/main/CONTRIBUTING.md) '
						    'are likely to be ignored.'	)


if __name__ == "__main__":
	main()





