





'''simple docstring'''






import json
from typing import TYPE_CHECKING, List, Optional, Tuple

from tokenizers import pre_tokenizers

from ...tokenization_utils_base import BatchEncoding
from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import logging


if TYPE_CHECKING:
      from transformers.pipelines.conversational import Conversation


A__				:   Tuple      =logging.get_logger(__name__)

A__				:   List[str]      ={'''tokenizer_file''': '''tokenizer.json'''}

A__				:   Dict      ={
    '''tokenizer_file''': {
        '''bigscience/tokenizer''': '''https://huggingface.co/bigscience/tokenizer/blob/main/tokenizer.json''',
        '''bigscience/bloom-560m''': '''https://huggingface.co/bigscience/bloom-560m/blob/main/tokenizer.json''',
        '''bigscience/bloom-1b1''': '''https://huggingface.co/bigscience/bloom-1b1/blob/main/tokenizer.json''',
        '''bigscience/bloom-1b7''': '''https://huggingface.co/bigscience/bloom-1b7/blob/main/tokenizer.json''',
        '''bigscience/bloom-3b''': '''https://huggingface.co/bigscience/bloom-3b/blob/main/tokenizer.json''',
        '''bigscience/bloom-7b1''': '''https://huggingface.co/bigscience/bloom-7b1/blob/main/tokenizer.json''',
        '''bigscience/bloom''': '''https://huggingface.co/bigscience/bloom/blob/main/tokenizer.json''',
    },
}




class  UpperCAmelCase     (			lowerCAmelCase__   ):
      _lowercase:			Tuple						     =   VOCAB_FILES_NAMES
      _lowercase:			Tuple						     =   PRETRAINED_VOCAB_FILES_MAP
      _lowercase:			Union[str, Any]						     =   ["""input_ids""", """attention_mask"""]
      _lowercase:			Any						     =   None




      def __init__(			self			: Union[str, Any]			,			__snake_case			: Union[str, Any]=None			,			__snake_case			: Optional[Any]=None			,			__snake_case			: Optional[Any]=None			,			__snake_case			: Optional[Any]="<unk>"			,			__snake_case			: Optional[int]="<s>"			,			__snake_case			: Tuple="</s>"			,			__snake_case			: Optional[Any]="<pad>"			,			__snake_case			: Union[str, Any]=False			,			__snake_case			: Union[str, Any]=False			,			**__snake_case			: List[str]			,			)				->      Any:
            super().__init__(
                lowercase_			,			lowercase_			,			tokenizer_file=lowercase_			,			unk_token=lowercase_			,			bos_token=lowercase_			,			eos_token=lowercase_			,			pad_token=lowercase_			,			add_prefix_space=lowercase_			,			clean_up_tokenization_spaces=lowercase_			,			**lowercase_			,			)
            _lowerCAmelCase							     =							json.loads(self.backend_tokenizer.pre_tokenizer.__getstate__()  )
            if pre_tok_state.get("""add_prefix_space"""			,			lowercase_  ) != add_prefix_space:
                  _lowerCAmelCase							     =							getattr(lowercase_			,			pre_tok_state.pop("""type"""  )  )
                  _lowerCAmelCase							     =							add_prefix_space
                  _lowerCAmelCase							     =							pre_tok_class(**lowercase_  )

            _lowerCAmelCase							     =							add_prefix_space




      def 				lowercase__    (			self			: int			,			*__snake_case			: List[str]			,			**__snake_case			: str  )				->      int:
            _lowerCAmelCase							     =							kwargs.get("""is_split_into_words"""			,			lowercase_  )
            if not (self.add_prefix_space or not is_split_into_words):
                  raise Exception(
                      f"You need to instantiate {self.__class__.__name__} with add_prefix_space=True to use it with"
                      """ pretokenized inputs."""  )

            return super()._batch_encode_plus(*lowercase_			,			**lowercase_  )




      def 				lowercase__    (			self			: List[Any]			,			*__snake_case			: List[str]			,			**__snake_case			: List[str]  )				->      Any:
            _lowerCAmelCase							     =							kwargs.get("""is_split_into_words"""			,			lowercase_  )

            if not (self.add_prefix_space or not is_split_into_words):
                  raise Exception(
                      f"You need to instantiate {self.__class__.__name__} with add_prefix_space=True to use it with"
                      """ pretokenized inputs."""  )

            return super()._encode_plus(*lowercase_			,			**lowercase_  )




      def 				lowercase__    (			self			: str			,			__snake_case			: str			,			__snake_case			: Optional[str] = None  )				->      Optional[int]:
            _lowerCAmelCase							     =							self._tokenizer.model.save(lowercase_			,			name=lowercase_  )
            return tuple(lowercase_  )




      def 				lowercase__    (			self			: Optional[Any]			,			__snake_case			: "Conversation"  )				->      Tuple:
            _lowerCAmelCase							     =							[]
            for is_user, text in conversation.iter_texts():
                  input_ids.extend(self.encode(lowercase_			,			add_special_tokens=lowercase_  ) + [self.eos_token_id]  )

            if len(lowercase_  ) > self.model_max_length:
                  _lowerCAmelCase							     =							input_ids[-self.model_max_length :]
            return input_ids











"""simple docstring"""

import os
from datetime import datetime as dt

from github import Github


lowercase__    :  int							    =	[
    '''good first issue''',
    '''good second issue''',
    '''good difficult issue''',
    '''enhancement''',
    '''new pipeline/model''',
    '''new scheduler''',
    '''wip''',
]




def __lowercase			(							):
    snake_case_ :     Optional[Any]				=	Github(os.environ['''GITHUB_TOKEN''']    )
    snake_case_ :     Any				=	g.get_repo('''huggingface/diffusers'''    )
    snake_case_ :     Any				=	repo.get_issues(state='''open'''    )

    for issue in open_issues:
        snake_case_ :     str				=	sorted(issue.get_comments()		,			key=lambda _a    : i.created_at		,			reverse=_a    )
        snake_case_ :     Dict				=	comments[0] if len(_a    ) > 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()





