


"""simple docstring"""



from queue import Queue
from typing import TYPE_CHECKING, Optional


if TYPE_CHECKING:
  from ..models.auto import AutoTokenizer







class _lowerCAmelCase							:







   def 					lowerCamelCase						(      self		,      UpperCamelCase__		)      ->						Tuple:

       '''simple docstring'''




       raise NotImplementedError()







   def 					lowerCamelCase						(      self		)      ->						Tuple:

       '''simple docstring'''




       raise NotImplementedError()







class _lowerCAmelCase							( snake_case_      ):







   def __init__(      self		,      UpperCamelCase__		,      UpperCamelCase__ = False		,      **UpperCamelCase__		)      ->						List[Any]:

       '''simple docstring'''




       snake_case       : Union[str, Any]    =       tokenizer
       snake_case       : Any    =       skip_prompt
       snake_case       : Union[str, Any]    =       decode_kwargs

       # variables used in the streaming process
       snake_case       : Tuple    =       []
       snake_case       : List[str]    =       0
       snake_case       : Dict    =       True







   def 					lowerCamelCase						(      self		,      UpperCamelCase__		)      ->						Any:

       '''simple docstring'''




       if len(value.shape		) > 1 and value.shape[0] > 1:
           raise ValueError("TextStreamer only supports batch size 1"		)
       elif len(value.shape		) > 1:
           snake_case       : List[str]    =       value[0]

       if self.skip_prompt and self.next_tokens_are_prompt:
           snake_case       : Dict    =       False
           return

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

       self.on_finalized_text(UpperCamelCase__		)







   def 					lowerCamelCase						(      self		)      ->						List[Any]:

       '''simple docstring'''




       if len(self.token_cache		) > 0:
           snake_case       : Dict    =       self.tokenizer.decode(self.token_cache		,      **self.decode_kwargs		)
           snake_case       : str    =       text[self.print_len :]
           snake_case       : str    =       []
           snake_case       : List[str]    =       0
       else:
           snake_case       : Optional[Any]    =       ""

       snake_case       : Union[str, Any]    =       True
       self.on_finalized_text(UpperCamelCase__		,      stream_end=UpperCamelCase__		)







   def 					lowerCamelCase						(      self		,      UpperCamelCase__		,      UpperCamelCase__ = False		)      ->						Optional[Any]:

       '''simple docstring'''




       print(UpperCamelCase__		,      flush=UpperCamelCase__		,      end="" if not stream_end else None		)







   def 					lowerCamelCase						(      self		,      UpperCamelCase__		)      ->						List[str]:

       '''simple docstring'''




       if (
           (cp >= 0x4_e_0_0 and cp <= 0x9_f_f_f)
           or (cp >= 0x3_4_0_0 and cp <= 0x4_d_b_f)  #
           or (cp >= 0x2_0_0_0_0 and cp <= 0x2_a_6_d_f)  #
           or (cp >= 0x2_a_7_0_0 and cp <= 0x2_b_7_3_f)  #
           or (cp >= 0x2_b_7_4_0 and cp <= 0x2_b_8_1_f)  #
           or (cp >= 0x2_b_8_2_0 and cp <= 0x2_c_e_a_f)  #
           or (cp >= 0xf_9_0_0 and cp <= 0xf_a_f_f)
           or (cp >= 0x2_f_8_0_0 and cp <= 0x2_f_a_1_f)  #
       ):  #
           return True

       return False







class _lowerCAmelCase							( snake_case_      ):







   def __init__(      self		,      UpperCamelCase__		,      UpperCamelCase__ = False		,      UpperCamelCase__ = None		,      **UpperCamelCase__		)      ->						Dict:

       '''simple docstring'''




       super().__init__(UpperCamelCase__		,      UpperCamelCase__		,      **UpperCamelCase__		)
       snake_case       : str    =       Queue()
       snake_case       : str    =       None
       snake_case       : int    =       timeout







   def 					lowerCamelCase						(      self		,      UpperCamelCase__		,      UpperCamelCase__ = False		)      ->						Tuple:

       '''simple docstring'''




       self.text_queue.put(UpperCamelCase__		,      timeout=self.timeout		)
       if stream_end:
           self.text_queue.put(self.stop_signal		,      timeout=self.timeout		)







   def __iter__(      self		)      ->						Optional[Any]:

       '''simple docstring'''




       return self







   def 					lowerCamelCase						(      self		)      ->						Tuple:

       '''simple docstring'''




       snake_case       : Tuple    =       self.text_queue.get(timeout=self.timeout		)
       if value == self.stop_signal:
           raise StopIteration()
       else:
           return value









"""simple docstring"""



from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available, is_vision_available


__snake_case       =       {
    """configuration_poolformer""": [
        """POOLFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP""",
        """PoolFormerConfig""",
        """PoolFormerOnnxConfig""",
    ]
}

try:
  if not is_vision_available():
    raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
  pass
else:
  __snake_case       =       ["""PoolFormerFeatureExtractor"""]
  __snake_case       =       ["""PoolFormerImageProcessor"""]

try:
  if not is_torch_available():
    raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
  pass
else:
  __snake_case       =       [
      """POOLFORMER_PRETRAINED_MODEL_ARCHIVE_LIST""",
      """PoolFormerForImageClassification""",
      """PoolFormerModel""",
      """PoolFormerPreTrainedModel""",
  ]


if TYPE_CHECKING:
  from .configuration_poolformer import (
      POOLFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP,
      PoolFormerConfig,
      PoolFormerOnnxConfig,
  )

  try:
    if not is_vision_available():
      raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
    pass
  else:
    from .feature_extraction_poolformer import PoolFormerFeatureExtractor
    from .image_processing_poolformer import PoolFormerImageProcessor

  try:
    if not is_torch_available():
      raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
    pass
  else:
    from .modeling_poolformer import (
        POOLFORMER_PRETRAINED_MODEL_ARCHIVE_LIST,
        PoolFormerForImageClassification,
        PoolFormerModel,
        PoolFormerPreTrainedModel,
    )


else:
  import sys

  __snake_case       =       _LazyModule(__name__, globals()["""__file__"""], _import_structure)





