



'''simple docstring'''




import os
from typing import List, Optional, Union

from ...tokenization_utils import PreTrainedTokenizer
from ...tokenization_utils_base import AddedToken
from ...utils import logging


a     :    Optional[int]      						=					logging.get_logger(__name__)

a     :    Any      						=					{"""vocab_file""": """vocab.txt"""}

a     :    List[Any]      						=					{
    """vocab_file""": {
        """facebook/esm2_t6_8M_UR50D""": """https://huggingface.co/facebook/esm2_t6_8M_UR50D/resolve/main/vocab.txt""",
        """facebook/esm2_t12_35M_UR50D""": """https://huggingface.co/facebook/esm2_t12_35M_UR50D/resolve/main/vocab.txt""",
    },
}

a     :    List[str]      						=					{
    """facebook/esm2_t6_8M_UR50D""": 1_0_2_4,
    """facebook/esm2_t12_35M_UR50D""": 1_0_2_4,
}



def    __lowerCamelCase						(      _lowercase	)   ->    Optional[Any]:
							with open(_lowercase			,       """r"""	) as f:
														UpperCAmelCase  :	Optional[Any]							  =	f.read().splitlines()
														return [l.strip() for l in lines]


class     UpperCamelCase_				(							__magic_name__    ):
	lowercase    =				VOCAB_FILES_NAMES
	lowercase    =				PRETRAINED_VOCAB_FILES_MAP
	lowercase    =				PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
	lowercase    =				['input_ids', 'attention_mask']





	def __init__(						self	,	A	,	A="<unk>"	,	A="<cls>"	,	A="<pad>"	,	A="<mask>"	,	A="<eos>"	,	**A	,	)    ->    Any:
								super().__init__(**A					)
								UpperCAmelCase  :	int							  =	load_vocab_file(A					)
								UpperCAmelCase  :	Tuple							  =	dict(enumerate(self.all_tokens					)					)
								UpperCAmelCase  :	List[str]							  =	{tok: ind for ind, tok in enumerate(self.all_tokens					)}
								UpperCAmelCase  :	List[str]							  =	unk_token
								UpperCAmelCase  :	List[Any]							  =	cls_token
								UpperCAmelCase  :	str							  =	pad_token
								UpperCAmelCase  :	int							  =	mask_token
								UpperCAmelCase  :	Tuple							  =	eos_token
								UpperCAmelCase  :	List[str]							  =	self.all_tokens
								self._create_trie(self.unique_no_split_tokens					)





	def 				_lowercase(						self	,	A					)    ->    str:
								return self._id_to_token.get(A	,	self.unk_token					)





	def 				_lowercase(						self	,	A					)    ->    int:
								return self._token_to_id.get(A	,	self._token_to_id.get(self.unk_token					)					)





	def 				_lowercase(						self	,	A	,	**A					)    ->    Any:
								return text.split()





	def 				_lowercase(						self	,	A=False					)    ->    Optional[int]:
								return len(self._id_to_token					)





	def 				_lowercase(						self					)    ->    Any:
								return {token: i for i, token in enumerate(self.all_tokens					)}





	def 				_lowercase(						self	,	A					)    ->    int:
								return self._token_to_id.get(A	,	self._token_to_id.get(self.unk_token					)					)





	def 				_lowercase(						self	,	A					)    ->    str:
								return self._id_to_token.get(A	,	self.unk_token					)





	def 				_lowercase(						self	,	A	,	A = None					)    ->    List[int]:
								UpperCAmelCase  :	Optional[Any]							  =	[self.cls_token_id]
								UpperCAmelCase  :	str							  =	[self.eos_token_id]  # No sep token in ESM vocabulary
								if token_ids_a is None:
															if self.eos_token_id is None:
																						return cls + token_ids_a
															else:
																						return cls + token_ids_a + sep
								elif self.eos_token_id is None:
															raise ValueError("""Cannot tokenize multiple sequences when EOS token is not set!"""					)
								return cls + token_ids_a + sep + token_ids_a + sep  # Multiple inputs always have an EOS token





	def 				_lowercase(						self	,	A	,	A = None	,	A = False					)    ->    List[int]:
								if already_has_special_tokens:
															if token_ids_a is not None:
																						raise ValueError(
																						    """You should not supply a second sequence if the provided sequence of """
																						    """ids is already formatted with special tokens for the model."""					)

															return [1 if token in self.all_special_ids else 0 for token in token_ids_a]
								UpperCAmelCase  :	Optional[int]							  =	[1] + ([0] * len(A					)) + [1]
								if token_ids_a is not None:
															mask += [0] * len(A					) + [1]
								return mask





	def 				_lowercase(						self	,	A	,	A					)    ->    Optional[int]:
								UpperCAmelCase  :	Dict							  =	os.path.join(A	,	(filename_prefix + """-""" if filename_prefix else """""") + """vocab.txt"""					)
								with open(A	,	"""w"""					) as f:
															f.write("""\n""".join(self.all_tokens					)					)
								return (vocab_file,)





	@property
	def 				_lowercase(						self					)    ->    int:
								return self.get_vocab_size(with_added_tokens=A					)






	def 				_lowercase(						self	,	A	,	A = False					)    ->    int:
								return super()._add_tokens(A	,	special_tokens=A					)






'''simple docstring'''




from datetime import datetime as dt
import os

from github import Github


a     :    int      						=					[
    """good first issue""",
    """good second issue""",
    """good difficult issue""",
    """feature request""",
    """new model""",
    """wip""",
]



def    __lowerCamelCase						(      )   ->    Dict:
							UpperCAmelCase  :	str							  =	Github(os.environ["""GITHUB_TOKEN"""]	)
							UpperCAmelCase  :	Dict							  =	g.get_repo("""huggingface/transformers"""	)
							UpperCAmelCase  :	int							  =	repo.get_issues(state="""open"""	)

							for issue in open_issues:
														UpperCAmelCase  :	Optional[int]							  =	sorted([comment for comment in issue.get_comments()]			,       key=lambda _lowercase	: i.created_at			,       reverse=_lowercase	)
														UpperCAmelCase  :	Any							  =	comments[0] if len(_lowercase	) > 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 >= 3_0
														    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 > 2_3
														    and (dt.utcnow() - issue.created_at).days >= 3_0
														    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()

