


import os
from shutil import copyfile
from typing import List, Optional, Tuple

from ...tokenization_utils import AddedToken
from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import is_sentencepiece_available, logging


if is_sentencepiece_available():
	from .tokenization_big_bird import BigBirdTokenizer
else:
	A							:					Union[str, Any]     						=     None

A							:					int     						=     logging.get_logger(__name__)
A							:					Any     						=     {'vocab_file': 'spiece.model', 'tokenizer_file': 'tokenizer.json'}

A							:					str     						=     {
    'vocab_file': {
        'google/bigbird-roberta-base': 'https://huggingface.co/google/bigbird-roberta-base/resolve/main/spiece.model',
        'google/bigbird-roberta-large': (
            'https://huggingface.co/google/bigbird-roberta-large/resolve/main/spiece.model'
        ),
        'google/bigbird-base-trivia-itc': (
            'https://huggingface.co/google/bigbird-base-trivia-itc/resolve/main/spiece.model'
        ),
    },
    'tokenizer_file': {
        'google/bigbird-roberta-base': (
            'https://huggingface.co/google/bigbird-roberta-base/resolve/main/tokenizer.json'
        ),
        'google/bigbird-roberta-large': (
            'https://huggingface.co/google/bigbird-roberta-large/resolve/main/tokenizer.json'
        ),
        'google/bigbird-base-trivia-itc': (
            'https://huggingface.co/google/bigbird-base-trivia-itc/resolve/main/tokenizer.json'
        ),
    },
}

A							:					List[str]     						=     {
    'google/bigbird-roberta-base': 4096,
    'google/bigbird-roberta-large': 4096,
    'google/bigbird-base-trivia-itc': 4096,
}


A							:					Union[str, Any]     						=     '▁'






class     UpperCamelCase(  _a   ):
					snake_case_		:				Tuple										=	VOCAB_FILES_NAMES
					snake_case_		:				int										=	PRETRAINED_VOCAB_FILES_MAP
					snake_case_		:				Tuple										=	PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
					snake_case_		:				int										=	BigBirdTokenizer
					snake_case_		:				List[str]										=	["""input_ids""", """attention_mask"""]
					snake_case_		:				List[int]										=	[]


					def __init__(						self	:		Optional[int]     ,    SCREAMING_SNAKE_CASE	:		List[str]=None     ,    SCREAMING_SNAKE_CASE	:		List[Any]=None     ,    SCREAMING_SNAKE_CASE	:		Dict="<unk>"     ,    SCREAMING_SNAKE_CASE	:		Tuple="<s>"     ,    SCREAMING_SNAKE_CASE	:		Tuple="</s>"     ,    SCREAMING_SNAKE_CASE	:		Tuple="<pad>"     ,    SCREAMING_SNAKE_CASE	:		Dict="[SEP]"     ,    SCREAMING_SNAKE_CASE	:		str="[MASK]"     ,    SCREAMING_SNAKE_CASE	:		Optional[int]="[CLS]"     ,    **SCREAMING_SNAKE_CASE	:		Tuple     ,    )			->	Optional[int]:




											'''simple docstring'''

											__snake_case				=		AddedToken(SCREAMING_SNAKE_CASE     ,    lstrip=SCREAMING_SNAKE_CASE     ,    rstrip=SCREAMING_SNAKE_CASE						) if isinstance(SCREAMING_SNAKE_CASE     ,    SCREAMING_SNAKE_CASE						) else bos_token
											__snake_case				=		AddedToken(SCREAMING_SNAKE_CASE     ,    lstrip=SCREAMING_SNAKE_CASE     ,    rstrip=SCREAMING_SNAKE_CASE						) if isinstance(SCREAMING_SNAKE_CASE     ,    SCREAMING_SNAKE_CASE						) else eos_token
											__snake_case				=		AddedToken(SCREAMING_SNAKE_CASE     ,    lstrip=SCREAMING_SNAKE_CASE     ,    rstrip=SCREAMING_SNAKE_CASE						) if isinstance(SCREAMING_SNAKE_CASE     ,    SCREAMING_SNAKE_CASE						) else unk_token
											__snake_case				=		AddedToken(SCREAMING_SNAKE_CASE     ,    lstrip=SCREAMING_SNAKE_CASE     ,    rstrip=SCREAMING_SNAKE_CASE						) if isinstance(SCREAMING_SNAKE_CASE     ,    SCREAMING_SNAKE_CASE						) else pad_token
											__snake_case				=		AddedToken(SCREAMING_SNAKE_CASE     ,    lstrip=SCREAMING_SNAKE_CASE     ,    rstrip=SCREAMING_SNAKE_CASE						) if isinstance(SCREAMING_SNAKE_CASE     ,    SCREAMING_SNAKE_CASE						) else cls_token
											__snake_case				=		AddedToken(SCREAMING_SNAKE_CASE     ,    lstrip=SCREAMING_SNAKE_CASE     ,    rstrip=SCREAMING_SNAKE_CASE						) if isinstance(SCREAMING_SNAKE_CASE     ,    SCREAMING_SNAKE_CASE						) else sep_token

											# Mask token behave like a normal word, i.e. include the space before it
											__snake_case				=		AddedToken(SCREAMING_SNAKE_CASE     ,    lstrip=SCREAMING_SNAKE_CASE     ,    rstrip=SCREAMING_SNAKE_CASE						) if isinstance(SCREAMING_SNAKE_CASE     ,    SCREAMING_SNAKE_CASE						) else mask_token

											super().__init__(
											    SCREAMING_SNAKE_CASE     ,    tokenizer_file=SCREAMING_SNAKE_CASE     ,    bos_token=SCREAMING_SNAKE_CASE     ,    eos_token=SCREAMING_SNAKE_CASE     ,    unk_token=SCREAMING_SNAKE_CASE     ,    sep_token=SCREAMING_SNAKE_CASE     ,    pad_token=SCREAMING_SNAKE_CASE     ,    cls_token=SCREAMING_SNAKE_CASE     ,    mask_token=SCREAMING_SNAKE_CASE     ,    **SCREAMING_SNAKE_CASE     ,    )

											__snake_case				=		vocab_file
											__snake_case				=		False if not self.vocab_file else True


					def 							SCREAMING_SNAKE_CASE_  (						self	:		str     ,    SCREAMING_SNAKE_CASE	:		List[int]     ,    SCREAMING_SNAKE_CASE	:		Optional[List[int]] = None						)			->	List[int]:




											'''simple docstring'''

											__snake_case				=		[self.sep_token_id]
											__snake_case				=		[self.cls_token_id]
											if token_ids_a is None:
																	return cls + token_ids_a + sep
											return cls + token_ids_a + sep + token_ids_a + sep


					def 							SCREAMING_SNAKE_CASE_  (						self	:		Optional[int]     ,    SCREAMING_SNAKE_CASE	:		List[int]     ,    SCREAMING_SNAKE_CASE	:		Optional[List[int]] = None     ,    SCREAMING_SNAKE_CASE	:		bool = False						)			->	List[int]:




											'''simple docstring'''

											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 x in [self.sep_token_id, self.cls_token_id] else 0 for x in token_ids_a]

											if token_ids_a is None:
																	return [1] + ([0] * len(SCREAMING_SNAKE_CASE						)) + [1]
											return [1] + ([0] * len(SCREAMING_SNAKE_CASE						)) + [1] + ([0] * len(SCREAMING_SNAKE_CASE						)) + [1]


					def 							SCREAMING_SNAKE_CASE_  (						self	:		Dict     ,    SCREAMING_SNAKE_CASE	:		List[int]     ,    SCREAMING_SNAKE_CASE	:		Optional[List[int]] = None						)			->	List[int]:




											'''simple docstring'''

											__snake_case				=		[self.sep_token_id]
											__snake_case				=		[self.cls_token_id]

											if token_ids_a is None:
																	return len(cls + token_ids_a + sep						) * [0]
											return len(cls + token_ids_a + sep						) * [0] + len(token_ids_a + sep						) * [1]






					def 							SCREAMING_SNAKE_CASE_  (						self	:		Tuple     ,    SCREAMING_SNAKE_CASE	:		str     ,    SCREAMING_SNAKE_CASE	:		Optional[str] = None						)			->	Tuple[str]:




											'''simple docstring'''

											if not self.can_save_slow_tokenizer:
																	raise ValueError(
																	    "Your fast tokenizer does not have the necessary information to save the vocabulary for a slow "
																	    "tokenizer."						)

											if not os.path.isdir(SCREAMING_SNAKE_CASE						):
																	logger.error(f'''Vocabulary path ({save_directory}) should be a directory'''						)
																	return
											__snake_case				=		os.path.join(
											    SCREAMING_SNAKE_CASE     ,    (filename_prefix + "-" if filename_prefix else "") + VOCAB_FILES_NAMES["vocab_file"]						)

											if os.path.abspath(self.vocab_file						) != os.path.abspath(SCREAMING_SNAKE_CASE						):
																	copyfile(self.vocab_file     ,    SCREAMING_SNAKE_CASE						)

											return (out_vocab_file,)









import os
from datetime import datetime as dt

from github import Github


A							:					Union[str, Any]     						=     [
    'good first issue',
    'good second issue',
    'good difficult issue',
    'enhancement',
    'new pipeline/model',
    'new scheduler',
    'wip',
]





def 	_lowerCAmelCase       (    )						->	str:


						'''simple docstring'''






						__snake_case				=		Github(os.environ["GITHUB_TOKEN"] )
						__snake_case				=		g.get_repo("huggingface/diffusers" )
						__snake_case				=		repo.get_issues(state="open" )

						for issue in open_issues:
												__snake_case				=		sorted(issue.get_comments()      ,	key=lambda _lowerCAmelCase : i.created_at      ,	reverse=_lowerCAmelCase )
												__snake_case				=		comments[0] if len(_lowerCAmelCase ) > 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() )
												):
																		# Closes the issue after 7 days of inactivity since the Stalebot notification.
																		issue.edit(state="closed" )
												elif (
												    "stale" in issue.get_labels()
												    and last_comment is not None
												    and last_comment.user.login != "github-actions[bot]"
												):
																		# Opens the issue if someone other than Stalebot commented.
																		issue.edit(state="open" )
																		issue.remove_from_labels("stale" )
												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() )
												):
																		# Post a Stalebot notification after 23 days of inactivity.
																		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/diffusers/blob/main/CONTRIBUTING.md) "
																		    "are likely to be ignored." )
																		issue.add_to_labels("stale" )


if __name__ == "__main__":
	main()





