





from queue import Queue
from typing import TYPE_CHECKING, Optional


if TYPE_CHECKING:
     from ..models.auto import AutoTokenizer



class 							_UpperCAmelCase       :

  """simple docstring"""


  def 							lowercase						(							self					:						Dict   ,    lowerCAmelCase_					:						Tuple	)				->		str:
     raise NotImplementedError()






  def 							lowercase						(							self					:						Optional[int]	)				->		Any:
     raise NotImplementedError()





class 							_UpperCAmelCase       (       _UpperCamelCase       ):

  """simple docstring"""


  def __init__(							self					:						List[str]   ,    lowerCAmelCase_					:						"AutoTokenizer"   ,    lowerCAmelCase_					:						bool = False   ,    **lowerCAmelCase_					:						Tuple	)				->		List[str]:
     __lowerCAmelCase				      =      tokenizer
     __lowerCAmelCase				      =      skip_prompt
     __lowerCAmelCase				      =      decode_kwargs

     # variables used in the streaming process
     __lowerCAmelCase				      =      []
     __lowerCAmelCase				      =      0
     __lowerCAmelCase				      =      True






  def 							lowercase						(							self					:						List[str]   ,    lowerCAmelCase_					:						Any	)				->		List[str]:
     if len(value.shape	) > 1 and value.shape[0] > 1:
        raise ValueError('TextStreamer only supports batch size 1'	)
     elif len(value.shape	) > 1:
        __lowerCAmelCase				      =      value[0]

     if self.skip_prompt and self.next_tokens_are_prompt:
        __lowerCAmelCase				      =      False
        return

     # Add the new token to the cache and decodes the entire thing.
     self.token_cache.extend(value.tolist()	)
     __lowerCAmelCase				      =      self.tokenizer.decode(self.token_cache   ,    **self.decode_kwargs	)

     # After the symbol for a new line, we flush the cache.
     if text.endswith('\n'	):
        __lowerCAmelCase				      =      text[self.print_len :]
        __lowerCAmelCase				      =      []
        __lowerCAmelCase				      =      0
     # If the last token is a CJK character, we print the characters.
     elif len(lowerCAmelCase_	) > 0 and self._is_chinese_char(ord(text[-1]	)	):
        __lowerCAmelCase				      =      text[self.print_len :]
        self.print_len += len(lowerCAmelCase_	)
     # Otherwise, prints until the last space char (simple heuristic to avoid printing incomplete words,
     # which may change with the subsequent token -- there are probably smarter ways to do this!)
     else:
        __lowerCAmelCase				      =      text[self.print_len : text.rfind(' '	) + 1]
        self.print_len += len(lowerCAmelCase_	)

     self.on_finalized_text(lowerCAmelCase_	)






  def 							lowercase						(							self					:						Optional[int]	)				->		Optional[int]:
     # Flush the cache, if it exists
     if len(self.token_cache	) > 0:
        __lowerCAmelCase				      =      self.tokenizer.decode(self.token_cache   ,    **self.decode_kwargs	)
        __lowerCAmelCase				      =      text[self.print_len :]
        __lowerCAmelCase				      =      []
        __lowerCAmelCase				      =      0
     else:
        __lowerCAmelCase				      =      ''

     __lowerCAmelCase				      =      True
     self.on_finalized_text(lowerCAmelCase_   ,    stream_end=lowerCAmelCase_	)






  def 							lowercase						(							self					:						Union[str, Any]   ,    lowerCAmelCase_					:						str   ,    lowerCAmelCase_					:						bool = False	)				->		List[str]:
     print(lowerCAmelCase_   ,    flush=lowerCAmelCase_   ,    end='' if not stream_end else None	)






  def 							lowercase						(							self					:						Optional[Any]   ,    lowerCAmelCase_					:						List[Any]	)				->		List[str]:
     # This defines a "chinese character" as anything in the CJK Unicode block:
     #   https://en.wikipedia.org/wiki/CJK_Unified_Ideographs_(Unicode_block)
     #
     # Note that the CJK Unicode block is NOT all Japanese and Korean characters,
     # despite its name. The modern Korean Hangul alphabet is a different block,
     # as is Japanese Hiragana and Katakana. Those alphabets are used to write
     # space-separated words, so they are not treated specially and handled
     # like the all of the other languages.
     if (
         (cp >= 0X4e_00 and cp <= 0X9f_ff)
         or (cp >= 0X34_00 and cp <= 0X4d_bf)  #
         or (cp >= 0X2_00_00 and cp <= 0X2_a6_df)  #
         or (cp >= 0X2_a7_00 and cp <= 0X2_b7_3f)  #
         or (cp >= 0X2_b7_40 and cp <= 0X2_b8_1f)  #
         or (cp >= 0X2_b8_20 and cp <= 0X2_ce_af)  #
         or (cp >= 0Xf9_00 and cp <= 0Xfa_ff)
         or (cp >= 0X2_f8_00 and cp <= 0X2_fa_1f)  #
     ):  #
        return True

     return False





class 							_UpperCAmelCase       (       _UpperCamelCase       ):

  """simple docstring"""


  def __init__(							self					:						Union[str, Any]   ,    lowerCAmelCase_					:						"AutoTokenizer"   ,    lowerCAmelCase_					:						bool = False   ,    lowerCAmelCase_					:						Optional[float] = None   ,    **lowerCAmelCase_					:						Optional[Any]	)				->		Optional[Any]:
     super().__init__(lowerCAmelCase_   ,    lowerCAmelCase_   ,    **lowerCAmelCase_	)
     __lowerCAmelCase				      =      Queue()
     __lowerCAmelCase				      =      None
     __lowerCAmelCase				      =      timeout






  def 							lowercase						(							self					:						int   ,    lowerCAmelCase_					:						str   ,    lowerCAmelCase_					:						bool = False	)				->		Tuple:
     self.text_queue.put(lowerCAmelCase_   ,    timeout=self.timeout	)
     if stream_end:
        self.text_queue.put(self.stop_signal   ,    timeout=self.timeout	)






  def __iter__(							self					:						Tuple	)				->		str:
     return self






  def 							lowercase						(							self					:						Any	)				->		Optional[int]:
     __lowerCAmelCase				      =      self.text_queue.get(timeout=self.timeout	)
     if value == self.stop_signal:
        raise StopIteration()
     else:
        return value





'''simple docstring'''







import argparse
from collections import defaultdict

import yaml


lowerCAmelCase     :  Dict											=    """docs/source/en/_toctree.yml"""






def       lowercase					(_A       ):







       """simple docstring"""







       _lowerCAmelCase     :				Optional[int]       =							defaultdict(_A       )
       _lowerCAmelCase     :				Tuple       =							[]
       _lowerCAmelCase     :				Dict       =							[]
       for doc in doc_list:
              if "local" in doc:
                     counts[doc["local"]] += 1

              if doc["title"].lower() == "overview":
                     overview_doc.append({'local': doc['local'], 'title': doc['title']}       )
              else:
                     new_doc_list.append(_A       )

       _lowerCAmelCase     :				str       =							new_doc_list
       _lowerCAmelCase     :				List[Any]       =							[key for key, value in counts.items() if value > 1]

       _lowerCAmelCase     :				List[str]       =							[]
       for duplicate_key in duplicates:
              _lowerCAmelCase     :				Any       =							list({doc['title'] for doc in doc_list if doc['local'] == duplicate_key}       )
              if len(_A       ) > 1:
                     raise ValueError(
                         f'{duplicate_key} is present several times in the documentation table of content at '
                         '`docs/source/en/_toctree.yml` with different *Title* values. Choose one of those and remove the '
                         'others.'       )
              # Only add this once
              new_doc.append({'local': duplicate_key, 'title': titles[0]}       )

       # Add none duplicate-keys
       new_doc.extend([doc for doc in doc_list if 'local' not in counts or counts[doc['local']] == 1]       )
       _lowerCAmelCase     :				Any       =							sorted(_A ,    key=lambda _A       : s["title"].lower()       )

       # "overview" gets special treatment and is always first
       if len(_A       ) > 1:
              raise ValueError('{doc_list} has two \'overview\' docs which is not allowed.'       )

       overview_doc.extend(_A       )

       # Sort
       return overview_doc






def       lowercase					(_A=False       ):







       """simple docstring"""







       with open(_A ,    encoding='utf-8'       ) as f:
              _lowerCAmelCase     :				Union[str, Any]       =							yaml.safe_load(f.read()       )

       # Get to the API doc
       _lowerCAmelCase     :				Tuple       =							0
       while content[api_idx]["title"] != "API":
              api_idx += 1
       _lowerCAmelCase     :				str       =							content[api_idx]['sections']

       # Then to the model doc
       _lowerCAmelCase     :				Dict       =							0
       while api_doc[scheduler_idx]["title"] != "Schedulers":
              scheduler_idx += 1

       _lowerCAmelCase     :				Optional[int]       =							api_doc[scheduler_idx]['sections']
       _lowerCAmelCase     :				Any       =							clean_doc_toc(_A       )

       _lowerCAmelCase     :				int       =							False
       if new_scheduler_doc != scheduler_doc:
              _lowerCAmelCase     :				str       =							True
              if overwrite:
                     _lowerCAmelCase     :				int       =							new_scheduler_doc

       if diff:
              if overwrite:
                     _lowerCAmelCase     :				Dict       =							api_doc
                     with open(_A ,    'w' ,    encoding='utf-8'       ) as f:
                            f.write(yaml.dump(_A ,    allow_unicode=_A       )       )
              else:
                     raise ValueError(
                         'The model doc part of the table of content is not properly sorted, run `make style` to fix this.'       )






def       lowercase					(_A=False       ):







       """simple docstring"""







       with open(_A ,    encoding='utf-8'       ) as f:
              _lowerCAmelCase     :				Optional[Any]       =							yaml.safe_load(f.read()       )

       # Get to the API doc
       _lowerCAmelCase     :				Optional[Any]       =							0
       while content[api_idx]["title"] != "API":
              api_idx += 1
       _lowerCAmelCase     :				Union[str, Any]       =							content[api_idx]['sections']

       # Then to the model doc
       _lowerCAmelCase     :				Optional[int]       =							0
       while api_doc[pipeline_idx]["title"] != "Pipelines":
              pipeline_idx += 1

       _lowerCAmelCase     :				List[Any]       =							False
       _lowerCAmelCase     :				List[Any]       =							api_doc[pipeline_idx]['sections']
       _lowerCAmelCase     :				Union[str, Any]       =							[]

       # sort sub pipeline docs
       for pipeline_doc in pipeline_docs:
              if "section" in pipeline_doc:
                     _lowerCAmelCase     :				Tuple       =							pipeline_doc['section']
                     _lowerCAmelCase     :				Optional[int]       =							clean_doc_toc(_A       )
                     if overwrite:
                            _lowerCAmelCase     :				str       =							new_sub_pipeline_doc
              new_pipeline_docs.append(_A       )

       # sort overall pipeline doc
       _lowerCAmelCase     :				str       =							clean_doc_toc(_A       )

       if new_pipeline_docs != pipeline_docs:
              _lowerCAmelCase     :				Any       =							True
              if overwrite:
                     _lowerCAmelCase     :				Optional[int]       =							new_pipeline_docs

       if diff:
              if overwrite:
                     _lowerCAmelCase     :				str       =							api_doc
                     with open(_A ,    'w' ,    encoding='utf-8'       ) as f:
                            f.write(yaml.dump(_A ,    allow_unicode=_A       )       )
              else:
                     raise ValueError(
                         'The model doc part of the table of content is not properly sorted, run `make style` to fix this.'       )


if __name__ == "__main__":
       lowerCAmelCase     :  Tuple											=    argparse.ArgumentParser()
       parser.add_argument("""--fix_and_overwrite""", action="""store_true""", help="""Whether to fix inconsistencies.""")
       lowerCAmelCase     :  List[Any]											=    parser.parse_args()

       check_scheduler_doc(args.fix_and_overwrite)
       check_pipeline_doc(args.fix_and_overwrite)

