





'''simple docstring'''






import json
import os
from functools import lru_cache
from typing import Dict, List, Optional, Tuple, Union

import regex as re

from ...tokenization_utils import AddedToken, PreTrainedTokenizer
from ...tokenization_utils_base import BatchEncoding, EncodedInput
from ...utils import PaddingStrategy, logging


A__				:   Dict      =logging.get_logger(__name__)


A__				:   Optional[int]      ={'''vocab_file''': '''vocab.json''', '''merges_file''': '''merges.txt'''}

# See all LED models at https://huggingface.co/models?filter=LED
A__				:   List[str]      ={
    '''vocab_file''': {
        '''allenai/led-base-16384''': '''https://huggingface.co/allenai/led-base-16384/resolve/main/vocab.json''',
    },
    '''merges_file''': {
        '''allenai/led-base-16384''': '''https://huggingface.co/allenai/led-base-16384/resolve/main/merges.txt''',
    },
    '''tokenizer_file''': {
        '''allenai/led-base-16384''': '''https://huggingface.co/allenai/led-base-16384/resolve/main/tokenizer.json''',
    },
}

A__				:   List[str]      ={
    '''allenai/led-base-16384''': 1_63_84,
}
@lru_cache()
# Copied from transformers.models.bart.tokenization_bart.bytes_to_unicode
def    UpperCamelCase__      (		):





      """simple docstring"""


      _lowerCAmelCase							     =							(
          list(range(ord("""!"""  )							,	ord("""~"""  ) + 1  )  ) + list(range(ord("""¡"""  )							,	ord("""¬"""  ) + 1  )  ) + list(range(ord("""®"""  )							,	ord("""ÿ"""  ) + 1  )  )
      )
      _lowerCAmelCase							     =							bs[:]
      _lowerCAmelCase							     =							0
      for b in range(2**8  ):
            if b not in bs:
                  bs.append(_a  )
                  cs.append(2**8 + n  )
                  n += 1
      _lowerCAmelCase							     =							[chr(_a  ) for n in cs]
      return dict(zip(_a							,	_a  )  )
def    UpperCamelCase__      (		lowerCAmelCase  ):





      """simple docstring"""


      _lowerCAmelCase							     =							set()
      _lowerCAmelCase							     =							word[0]
      for char in word[1:]:
            pairs.add((prev_char, char)  )
            _lowerCAmelCase							     =							char
      return pairs





class  UpperCAmelCase     (			lowerCAmelCase__   ):
      _lowercase:			List[str]						     =   VOCAB_FILES_NAMES
      _lowercase:			Any						     =   PRETRAINED_VOCAB_FILES_MAP
      _lowercase:			Tuple						     =   PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
      _lowercase:			Optional[int]						     =   ["""input_ids""", """attention_mask"""]




      def __init__(			self			: Optional[Any]			,			__snake_case			: str			,			__snake_case			: Union[str, Any]			,			__snake_case			: int="replace"			,			__snake_case			: Any="<s>"			,			__snake_case			: List[str]="</s>"			,			__snake_case			: int="</s>"			,			__snake_case			: List[str]="<s>"			,			__snake_case			: Tuple="<unk>"			,			__snake_case			: Optional[int]="<pad>"			,			__snake_case			: Union[str, Any]="<mask>"			,			__snake_case			: Dict=False			,			**__snake_case			: Optional[Any]			,			)				->      List[str]:
            _lowerCAmelCase							     =							AddedToken(lowercase_			,			lstrip=lowercase_			,			rstrip=lowercase_  ) if isinstance(lowercase_			,			lowercase_  ) else bos_token
            _lowerCAmelCase							     =							AddedToken(lowercase_			,			lstrip=lowercase_			,			rstrip=lowercase_  ) if isinstance(lowercase_			,			lowercase_  ) else eos_token
            _lowerCAmelCase							     =							AddedToken(lowercase_			,			lstrip=lowercase_			,			rstrip=lowercase_  ) if isinstance(lowercase_			,			lowercase_  ) else sep_token
            _lowerCAmelCase							     =							AddedToken(lowercase_			,			lstrip=lowercase_			,			rstrip=lowercase_  ) if isinstance(lowercase_			,			lowercase_  ) else cls_token
            _lowerCAmelCase							     =							AddedToken(lowercase_			,			lstrip=lowercase_			,			rstrip=lowercase_  ) if isinstance(lowercase_			,			lowercase_  ) else unk_token
            _lowerCAmelCase							     =							AddedToken(lowercase_			,			lstrip=lowercase_			,			rstrip=lowercase_  ) if isinstance(lowercase_			,			lowercase_  ) else pad_token

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

            super().__init__(
                errors=lowercase_			,			bos_token=lowercase_			,			eos_token=lowercase_			,			unk_token=lowercase_			,			sep_token=lowercase_			,			cls_token=lowercase_			,			pad_token=lowercase_			,			mask_token=lowercase_			,			add_prefix_space=lowercase_			,			**lowercase_			,			)

            with open(lowercase_			,			encoding="""utf-8"""  ) as vocab_handle:
                  _lowerCAmelCase							     =							json.load(lowercase_  )
            _lowerCAmelCase							     =							{v: k for k, v in self.encoder.items()}
            _lowerCAmelCase							     =							errors  # how to handle errors in decoding
            _lowerCAmelCase							     =							bytes_to_unicode()
            _lowerCAmelCase							     =							{v: k for k, v in self.byte_encoder.items()}
            with open(lowercase_			,			encoding="""utf-8"""  ) as merges_handle:
                  _lowerCAmelCase							     =							merges_handle.read().split("""\n"""  )[1:-1]
            _lowerCAmelCase							     =							[tuple(merge.split()  ) for merge in bpe_merges]
            _lowerCAmelCase							     =							dict(zip(lowercase_			,			range(len(lowercase_  )  )  )  )
            _lowerCAmelCase							     =							{}
            _lowerCAmelCase							     =							add_prefix_space

            # Should have added re.IGNORECASE so BPE merges can happen for capitalized versions of contractions
            _lowerCAmelCase							     =							re.compile(R"""\'s|\'t|\'re|\'ve|\'m|\'ll|\'d| ?\p{L}+| ?\p{N}+| ?[^\s\p{L}\p{N}]+|\s+(?!\S)|\s+"""  )




      @property
      # Copied from transformers.models.bart.tokenization_bart.BartTokenizer.vocab_size
      def 				lowercase__    (			self			: Union[str, Any]  )				->      str:
            return len(self.encoder  )




      def 				lowercase__    (			self			: Optional[Any]  )				->      int:
            return dict(self.encoder			,			**self.added_tokens_encoder  )




      def 				lowercase__    (			self			: Tuple			,			__snake_case			: Tuple  )				->      Optional[int]:
            if token in self.cache:
                  return self.cache[token]
            _lowerCAmelCase							     =							tuple(lowercase_  )
            _lowerCAmelCase							     =							get_pairs(lowercase_  )

            if not pairs:
                  return token

            while True:
                  _lowerCAmelCase							     =							min(lowercase_			,			key=lambda __snake_case  : self.bpe_ranks.get(lowercase_			,			float("""inf"""  )  )  )
                  if bigram not in self.bpe_ranks:
                        break
                  _lowerCAmelCase							     =							bigram
                  _lowerCAmelCase							     =							[]
                  _lowerCAmelCase							     =							0
                  while i < len(lowercase_  ):
                        try:
                              _lowerCAmelCase							     =							word.index(lowercase_			,			lowercase_  )
                        except ValueError:
                              new_word.extend(word[i:]  )
                              break
                        else:
                              new_word.extend(word[i:j]  )
                              _lowerCAmelCase							     =							j

                        if word[i] == first and i < len(lowercase_  ) - 1 and word[i + 1] == second:
                              new_word.append(first + second  )
                              i += 2
                        else:
                              new_word.append(word[i]  )
                              i += 1
                  _lowerCAmelCase							     =							tuple(lowercase_  )
                  _lowerCAmelCase							     =							new_word
                  if len(lowercase_  ) == 1:
                        break
                  else:
                        _lowerCAmelCase							     =							get_pairs(lowercase_  )
            _lowerCAmelCase							     =							''' '''.join(lowercase_  )
            _lowerCAmelCase							     =							word
            return word




      def 				lowercase__    (			self			: Any			,			__snake_case			: Union[str, Any]  )				->      Optional[int]:
            _lowerCAmelCase							     =							[]
            for token in re.findall(self.pat			,			lowercase_  ):
                  _lowerCAmelCase							     =							''''''.join(
                      self.byte_encoder[b] for b in token.encode("""utf-8"""  )  )  # Maps all our bytes to unicode strings, avoiding control tokens of the BPE (spaces in our case)
                  bpe_tokens.extend(bpe_token for bpe_token in self.bpe(lowercase_  ).split(""" """  )  )
            return bpe_tokens




      def 				lowercase__    (			self			: List[Any]			,			__snake_case			: List[str]  )				->      Any:
            return self.encoder.get(lowercase_			,			self.encoder.get(self.unk_token  )  )




      def 				lowercase__    (			self			: Union[str, Any]			,			__snake_case			: Dict  )				->      Tuple:
            return self.decoder.get(lowercase_  )




      def 				lowercase__    (			self			: Tuple			,			__snake_case			: Union[str, Any]  )				->      Union[str, Any]:
            _lowerCAmelCase							     =							''''''.join(lowercase_  )
            _lowerCAmelCase							     =							bytearray([self.byte_decoder[c] for c in text]  ).decode("""utf-8"""			,			errors=self.errors  )
            return text




      def 				lowercase__    (			self			: Optional[int]			,			__snake_case			: str			,			__snake_case			: Optional[str] = None  )				->      Any:
            if not os.path.isdir(lowercase_  ):
                  logger.error(f"Vocabulary path ({save_directory}) should be a directory"  )
                  return
            _lowerCAmelCase							     =							os.path.join(
                lowercase_			,			(filename_prefix + """-""" if filename_prefix else """""") + VOCAB_FILES_NAMES["""vocab_file"""]  )
            _lowerCAmelCase							     =							os.path.join(
                lowercase_			,			(filename_prefix + """-""" if filename_prefix else """""") + VOCAB_FILES_NAMES["""merges_file"""]  )

            with open(lowercase_			,			"""w"""			,			encoding="""utf-8"""  ) as f:
                  f.write(json.dumps(self.encoder			,			indent=2			,			sort_keys=lowercase_			,			ensure_ascii=lowercase_  ) + """\n"""  )

            _lowerCAmelCase							     =							0
            with open(lowercase_			,			"""w"""			,			encoding="""utf-8"""  ) as writer:
                  writer.write("""#version: 0.2\n"""  )
                  for bpe_tokens, token_index in sorted(self.bpe_ranks.items()			,			key=lambda __snake_case  : kv[1]  ):
                        if index != token_index:
                              logger.warning(
                                  f"Saving vocabulary to {merge_file}: BPE merge indices are not consecutive."
                                  """ Please check that the tokenizer is not corrupted!"""  )
                              _lowerCAmelCase							     =							token_index
                        writer.write(""" """.join(lowercase_  ) + """\n"""  )
                        index += 1

            return vocab_file, merge_file




      def 				lowercase__    (			self			: str			,			__snake_case			: List[int]			,			__snake_case			: Optional[List[int]] = None  )				->      Tuple:
            if token_ids_a is None:
                  return [self.cls_token_id] + token_ids_a + [self.sep_token_id]
            _lowerCAmelCase							     =							[self.cls_token_id]
            _lowerCAmelCase							     =							[self.sep_token_id]
            return cls + token_ids_a + sep + sep + token_ids_a + sep




      def 				lowercase__    (			self			: Any			,			__snake_case			: List[int]			,			__snake_case			: Optional[List[int]] = None			,			__snake_case			: bool = False  )				->      List[Any]:
            if already_has_special_tokens:
                  return super().get_special_tokens_mask(
                      token_ids_a=lowercase_			,			token_ids_a=lowercase_			,			already_has_special_tokens=lowercase_  )

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




      def 				lowercase__    (			self			: int			,			__snake_case			: List[int]			,			__snake_case			: Optional[List[int]] = None  )				->      Tuple:
            _lowerCAmelCase							     =							[self.sep_token_id]
            _lowerCAmelCase							     =							[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 + sep + token_ids_a + sep  ) * [0]




      def 				lowercase__    (			self			: Union[str, Any]			,			__snake_case			: str			,			__snake_case			: str=False			,			**__snake_case			: Dict  )				->      str:
            _lowerCAmelCase							     =							kwargs.pop("""add_prefix_space"""			,			self.add_prefix_space  )
            if (is_split_into_words or add_prefix_space) and (len(lowercase_  ) > 0 and not text[0].isspace()):
                  _lowerCAmelCase							     =							''' ''' + text
            return (text, kwargs)




      def 				lowercase__    (			self			: Any			,			__snake_case			: Union[Dict[str, EncodedInput], BatchEncoding]			,			__snake_case			: Optional[int] = None			,			__snake_case			: PaddingStrategy = PaddingStrategy.DO_NOT_PAD			,			__snake_case			: Optional[int] = None			,			__snake_case			: Optional[bool] = None			,			)				->      Any:
            _lowerCAmelCase							     =							super()._pad(
                encoded_inputs=lowercase_			,			max_length=lowercase_			,			padding_strategy=lowercase_			,			pad_to_multiple_of=lowercase_			,			return_attention_mask=lowercase_			,			)

            # Load from model defaults
            if return_attention_mask is None:
                  _lowerCAmelCase							     =							'''attention_mask''' in self.model_input_names

            if return_attention_mask and "global_attention_mask" in encoded_inputs:
                  _lowerCAmelCase							     =							encoded_inputs[self.model_input_names[0]]
                  # `global_attention_mask` need to have the same length as other (sequential) inputs.
                  _lowerCAmelCase							     =							len(encoded_inputs["""global_attention_mask"""]  ) != len(lowercase_  )

                  if needs_to_be_padded:
                        _lowerCAmelCase							     =							len(lowercase_  ) - len(encoded_inputs["""global_attention_mask"""]  )

                        if self.padding_side == "right":
                              # Use `-1` since `0` in `global_attention_mask` means `local attention` instead of `not to attend`
                              _lowerCAmelCase							     =							(
                                  encoded_inputs['''global_attention_mask'''] + [-1] * difference
                              )
                        elif self.padding_side == "left":
                              _lowerCAmelCase							     =							[-1] * difference + encoded_inputs[
                                  '''global_attention_mask'''
                              ]
                        else:
                              raise ValueError("""Invalid padding strategy:""" + str(self.padding_side  )  )

            return encoded_inputs











"""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()





