




from typing import Dict

from .base import GenericTensor, Pipeline




class 		UpperCamelCase__	(lowerCAmelCase__     ):

    '''simple docstring'''



    def     _lowercase     (    self     ,  UpperCamelCase__=None     ,  UpperCamelCase__=None     ,  UpperCamelCase__=None     ,  **UpperCamelCase__     )     ->      Optional[int]:
           if tokenize_kwargs is None:
                  lowerCamelCase   :      List[Any]			 =					{}

           if truncation is not None:
                  if "truncation" in tokenize_kwargs:
                         raise ValueError(
                             "truncation parameter defined twice (given as keyword argument as well as in tokenize_kwargs)"     )
                  lowerCamelCase   :      Union[str, Any]			 =					truncation

           lowerCamelCase   :      Optional[Any]			 =					tokenize_kwargs

           lowerCamelCase   :      List[str]			 =					{}
           if return_tensors is not None:
                  lowerCamelCase   :      Tuple			 =					return_tensors

           return preprocess_params, {}, postprocess_params







    def     _lowercase     (    self     ,  UpperCamelCase__     ,  **UpperCamelCase__     )     ->      Dict[str, GenericTensor]:
           lowerCamelCase   :      int			 =					self.framework
           lowerCamelCase   :      Optional[int]			 =					self.tokenizer(UpperCamelCase__     ,  return_tensors=UpperCamelCase__     ,  **UpperCamelCase__     )
           return model_inputs







    def     _lowercase     (    self     ,  UpperCamelCase__     )     ->      Optional[Any]:
           lowerCamelCase   :      Dict			 =					self.model(**UpperCamelCase__     )
           return model_outputs







    def     _lowercase     (    self     ,  UpperCamelCase__     ,  UpperCamelCase__=False     )     ->      str:
           # [0] is the first available tensor, logits or last_hidden_state.
           if return_tensors:
                  return model_outputs[0]
           if self.framework == "pt":
                  return model_outputs[0].tolist()
           elif self.framework == "tf":
                  return model_outputs[0].numpy().tolist()







    def __call__(    self     ,  *UpperCamelCase__     ,  **UpperCamelCase__     )     ->      Optional[Any]:
           return super().__call__(*UpperCamelCase__     ,  **UpperCamelCase__     )











"""simple docstring"""
import inspect
import warnings
from typing import Any, Dict, Optional, Union

from packaging import version

def       _snake_case						(						*UpperCamelCase						:		str			,		UpperCamelCase						:		Optional[Union[Dict, Any]] = None			,		UpperCamelCase						:		Tuple=True			,		UpperCamelCase						:		Optional[int]=2						):
 from .. import __version__

 UpperCAmelCase	:					Tuple	=	take_from
 UpperCAmelCase	:					Optional[Any]	=	()
 if not isinstance(args[0]			,		UpperCamelCase						):
  UpperCAmelCase	:					List[str]	=	(args,)

 for attribute, version_name, message in args:
  if version.parse(version.parse(UpperCamelCase						).base_version						) >= version.parse(UpperCamelCase						):
   raise ValueError(
       F"The deprecation tuple {(attribute, version_name, message)} should be removed since diffusers'"
       F" version {__version__} is >= {version_name}"						)

  UpperCAmelCase	:					Optional[int]	=	None
  if isinstance(UpperCamelCase			,		UpperCamelCase						) and attribute in deprecated_kwargs:
   values += (deprecated_kwargs.pop(UpperCamelCase						),)
   UpperCAmelCase	:					List[str]	=	F"The `{attribute}` argument is deprecated and will be removed in version {version_name}."
  elif hasattr(UpperCamelCase			,		UpperCamelCase						):
   values += (getattr(UpperCamelCase			,		UpperCamelCase						),)
   UpperCAmelCase	:					List[Any]	=	F"The `{attribute}` attribute is deprecated and will be removed in version {version_name}."
  elif deprecated_kwargs is None:
   UpperCAmelCase	:					int	=	F"`{attribute}` is deprecated and will be removed in version {version_name}."

  if warning is not None:
   UpperCAmelCase	:					Optional[Any]	=	warning + """ """ if standard_warn else """"""
   warnings.warn(warning + message			,		UpperCamelCase			,		stacklevel=UpperCamelCase						)

 if isinstance(UpperCamelCase			,		UpperCamelCase						) and len(UpperCamelCase						) > 0:
  UpperCAmelCase	:					Optional[int]	=	inspect.getouterframes(inspect.currentframe()						)[1]
  UpperCAmelCase	:					Union[str, Any]	=	call_frame.filename
  UpperCAmelCase	:					List[Any]	=	call_frame.lineno
  UpperCAmelCase	:					List[str]	=	call_frame.function
  UpperCAmelCase	,		UpperCAmelCase	:					Optional[int]	=	next(iter(deprecated_kwargs.items()						)						)
  raise TypeError(F"{function} in {filename} line {line_number-1} got an unexpected keyword argument `{key}`"						)

 if len(UpperCamelCase						) == 0:
  return
 elif len(UpperCamelCase						) == 1:
  return values[0]
 return values
