
from queue import Queue
from typing import TYPE_CHECKING, Optional


if TYPE_CHECKING:
      from ..models.auto import AutoTokenizer






class   a_    :



       """simple docstring"""






       def      __lowerCAmelCase			(						self							,    _lowerCamelCase					) ->Dict:
           raise NotImplementedError()






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






class   a_    (       a__				):



       """simple docstring"""






       def __init__(						self							,    _lowerCamelCase							,    _lowerCamelCase = False							,    **_lowerCamelCase					) ->Any:
           SCREAMING_SNAKE_CASE							:							Tuple								=      tokenizer
           SCREAMING_SNAKE_CASE							:							Tuple								=      skip_prompt
           SCREAMING_SNAKE_CASE							:							int								=      decode_kwargs

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






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

           if self.skip_prompt and self.next_tokens_are_prompt:
               SCREAMING_SNAKE_CASE							:							Optional[int]								=      False
               return

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

           # After the symbol for a new line, we flush the cache.
           if text.endswith('''\n'''					):
               SCREAMING_SNAKE_CASE							:							str								=      text[self.print_len :]
               SCREAMING_SNAKE_CASE							:							Any								=      []
               SCREAMING_SNAKE_CASE							:							Any								=      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]					)					):
               SCREAMING_SNAKE_CASE							:							Tuple								=      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:
               SCREAMING_SNAKE_CASE							:							Tuple								=      text[self.print_len : text.rfind(''' '''					) + 1]
               self.print_len += len(_lowerCamelCase					)

           self.on_finalized_text(_lowerCamelCase					)






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

           SCREAMING_SNAKE_CASE							:							List[Any]								=      True
           self.on_finalized_text(_lowerCamelCase							,    stream_end=_lowerCamelCase					)






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






       def      __lowerCAmelCase			(						self							,    _lowerCamelCase					) ->Optional[int]:
           # 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 >= 0x4_e00 and cp <= 0x9_fff)
               or (cp >= 0x3_400 and cp <= 0x4_dbf)  #
               or (cp >= 0x20_000 and cp <= 0x2a_6df)  #
               or (cp >= 0x2a_700 and cp <= 0x2b_73f)  #
               or (cp >= 0x2b_740 and cp <= 0x2b_81f)  #
               or (cp >= 0x2b_820 and cp <= 0x2c_eaf)  #
               or (cp >= 0xf_900 and cp <= 0xf_aff)
               or (cp >= 0x2f_800 and cp <= 0x2f_a1f)  #
           ):  #
               return True

           return False






class   a_    (       a__				):



       """simple docstring"""






       def __init__(						self							,    _lowerCamelCase							,    _lowerCamelCase = False							,    _lowerCamelCase = None							,    **_lowerCamelCase					) ->List[str]:
           super().__init__(_lowerCamelCase							,    _lowerCamelCase							,    **_lowerCamelCase					)
           SCREAMING_SNAKE_CASE							:							Optional[int]								=      Queue()
           SCREAMING_SNAKE_CASE							:							Optional[int]								=      None
           SCREAMING_SNAKE_CASE							:							Optional[Any]								=      timeout






       def      __lowerCAmelCase			(						self							,    _lowerCamelCase							,    _lowerCamelCase = False					) ->Any:
           self.text_queue.put(_lowerCamelCase							,    timeout=self.timeout					)
           if stream_end:
               self.text_queue.put(self.stop_signal							,    timeout=self.timeout					)






       def __iter__(						self					) ->List[str]:
           return self






       def      __lowerCAmelCase			(						self					) ->Dict:
           SCREAMING_SNAKE_CASE							:							Any								=      self.text_queue.get(timeout=self.timeout					)
           if value == self.stop_signal:
               raise StopIteration()
           else:
               return value




def 				UpperCAmelCase_					(							__snake_case						)     ->			str:







 """simple docstring"""


 _lowercase							      =0

 # if input_string is "aba" than new_input_string become "a|b|a"
 _lowercase							      =''''''
 _lowercase							      =''''''

 # append each character + "|" in new_string for range(0, length-1)
 for i in input_string[: len(__snake_case						) - 1]:
  new_input_string += i + "|"
 # append last character
 new_input_string += input_string[-1]

 # we will store the starting and ending of previous furthest ending palindromic
 # substring
 _lowercase      ,    _lowercase							      =0, 0

 # length[i] shows the length of palindromic substring with center i
 _lowercase							      =[1 for i in range(len(__snake_case						)						)]

 # for each character in new_string find corresponding palindromic string
 _lowercase							      =0
 for j in range(len(__snake_case						)						):
  _lowercase							      =1 if j > r else min(length[l + r - j] // 2     ,						r - j + 1						)
  while (
      j - k >= 0
      and j + k < len(__snake_case						)
      and new_input_string[k + j] == new_input_string[j - k]
  ):
   k += 1

  _lowercase							      =2 * k - 1

  # does this string is ending after the previously explored end (that is r) ?
  # if yes the update the new r to the last index of this
  if j + k - 1 > r:
   _lowercase							      =j - k + 1  # noqa: E741
   _lowercase							      =j + k - 1

  # update max_length and start position
  if max_length < length[j]:
   _lowercase							      =length[j]
   _lowercase							      =j

    # create that string
 _lowercase							      =new_input_string[start - max_length // 2 : start + max_length // 2 + 1]
 for i in s:
  if i != "|":
   output_string += i

 return output_string


if __name__ == "__main__":
  import doctest

  doctest.testmod()

