



"""simple docstring"""







from queue import Queue
from typing import TYPE_CHECKING, Optional


if TYPE_CHECKING:
     from ..models.auto import AutoTokenizer







class       UpperCamelCase__   :




      """simple docstring"""




      def      SCREAMING_SNAKE_CASE__ (      self				:      List[str]    ,			SCREAMING_SNAKE_CASE_				:      List[str]       ):
        raise NotImplementedError()





      def      SCREAMING_SNAKE_CASE__ (      self				:      Optional[int]       ):
        raise NotImplementedError()







class       UpperCamelCase__   (	lowercase_  ):




      """simple docstring"""




      def __init__(      self				:      Optional[Any]    ,			SCREAMING_SNAKE_CASE_				:      "AutoTokenizer"    ,			SCREAMING_SNAKE_CASE_				:      bool = False    ,			**SCREAMING_SNAKE_CASE_				:      Dict       ):
        lowerCAmelCase_   :				int								= tokenizer
        lowerCAmelCase_   :				List[Any]								= skip_prompt
        lowerCAmelCase_   :				List[str]								= decode_kwargs

        # variables used in the streaming process
        lowerCAmelCase_   :				Optional[int]								= []
        lowerCAmelCase_   :				Union[str, Any]								= 0
        lowerCAmelCase_   :				Optional[Any]								= True



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

        if self.skip_prompt and self.next_tokens_are_prompt:
          lowerCAmelCase_   :				List[str]								= False
          return

        # Add the new token to the cache and decodes the entire thing.
        self.token_cache.extend(value.tolist()       )
        lowerCAmelCase_   :				List[Any]								= 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_   :				Dict								= text[self.print_len :]
          lowerCAmelCase_   :				Optional[int]								= []
          lowerCAmelCase_   :				Tuple								= 0
        # If the last token is a CJK character, we print the characters.
        elif len(SCREAMING_SNAKE_CASE_       ) > 0 and self._is_chinese_char(ord(text[-1]       )       ):
          lowerCAmelCase_   :				Tuple								= text[self.print_len :]
          self.print_len += len(SCREAMING_SNAKE_CASE_       )
        # 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_   :				Optional[Any]								= text[self.print_len : text.rfind(' '       ) + 1]
          self.print_len += len(SCREAMING_SNAKE_CASE_       )

        self.on_finalized_text(SCREAMING_SNAKE_CASE_       )



      def      SCREAMING_SNAKE_CASE__ (      self				:      List[Any]       ):
        # Flush the cache, if it exists
        if len(self.token_cache       ) > 0:
          lowerCAmelCase_   :				Tuple								= self.tokenizer.decode(self.token_cache    ,			**self.decode_kwargs       )
          lowerCAmelCase_   :				Optional[int]								= text[self.print_len :]
          lowerCAmelCase_   :				int								= []
          lowerCAmelCase_   :				Union[str, Any]								= 0
        else:
          lowerCAmelCase_   :				Tuple								= ''

        lowerCAmelCase_   :				int								= True
        self.on_finalized_text(SCREAMING_SNAKE_CASE_    ,			stream_end=SCREAMING_SNAKE_CASE_       )



      def      SCREAMING_SNAKE_CASE__ (      self				:      Optional[int]    ,			SCREAMING_SNAKE_CASE_				:      str    ,			SCREAMING_SNAKE_CASE_				:      bool = False       ):
        print(SCREAMING_SNAKE_CASE_    ,			flush=SCREAMING_SNAKE_CASE_    ,			end='' if not stream_end else None       )





      def      SCREAMING_SNAKE_CASE__ (      self				:      Any    ,			SCREAMING_SNAKE_CASE_				:      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__   (	lowercase_  ):




      """simple docstring"""




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



      def      SCREAMING_SNAKE_CASE__ (      self				:      Any    ,			SCREAMING_SNAKE_CASE_				:      str    ,			SCREAMING_SNAKE_CASE_				:      bool = False       ):
        self.text_queue.put(SCREAMING_SNAKE_CASE_    ,			timeout=self.timeout       )
        if stream_end:
          self.text_queue.put(self.stop_signal    ,			timeout=self.timeout       )



      def __iter__(      self				:      int       ):
        return self





      def      SCREAMING_SNAKE_CASE__ (      self				:      List[str]       ):
        lowerCAmelCase_   :				Union[str, Any]								= self.text_queue.get(timeout=self.timeout       )
        if value == self.stop_signal:
          raise StopIteration()
        else:
          return value










"""simple docstring"""







import random

def 				UpperCamelCase_    (    lowerCAmelCase__      :				int    ,   lowerCAmelCase__      :				float    ,   lowerCAmelCase__      :				bool = False						)						->   dict:

  """simple docstring"""




  lowerCAmelCase_   :				dict								= {i: [] for i in range(lowerCAmelCase__						)}

  # if probability is greater or equal than 1, then generate a complete graph
  if probability >= 1:
    return complete_graph(lowerCAmelCase__						)
  # if probability is lower or equal than 0, then return a graph without edges
  if probability <= 0:
    return graph

  # for each couple of nodes, add an edge from u to v
  # if the number randomly generated is greater than probability probability
  for i in range(lowerCAmelCase__						):
    for j in range(i + 1    ,   lowerCAmelCase__						):
      if random.random() < probability:
        graph[i].append(lowerCAmelCase__						)
        if not directed:
          # if the graph is undirected, add an edge in from j to i, either
          graph[j].append(lowerCAmelCase__						)
  return graph

def 				UpperCamelCase_    (    lowerCAmelCase__      :				int						)						->   dict:

  """simple docstring"""




  return {
      i: [j for j in range(lowerCAmelCase__						) if i != j] for i in range(lowerCAmelCase__						)
  }


if __name__ == "__main__":
     import doctest

     doctest.testmod()





