






from typing import Union

from ..utils import add_end_docstrings, is_torch_available, is_vision_available, logging
from .base import PIPELINE_INIT_ARGS, Pipeline


if is_vision_available():
       from PIL import Image

       from ..image_utils import load_image

if is_torch_available():
       from ..models.auto.modeling_auto import MODEL_FOR_VISUAL_QUESTION_ANSWERING_MAPPING

UpperCamelCase    							=      logging.get_logger(__name__)







@add_end_docstrings(UpperCAmelCase_ )
class 		_A						( UpperCAmelCase_ ):

  def __init__(    self						:	Any   ,				*lowerCamelCase__						:	Any   ,				**lowerCamelCase__						:	Optional[Any]			):
     """simple docstring"""

     super().__init__(*lowerCamelCase__   ,				**lowerCamelCase__			)
     self.check_model_type(lowerCamelCase__			)

  def    a					(    self						:	Tuple   ,				lowerCamelCase__						:	str=None   ,				lowerCamelCase__						:	Union[str, Any]=None   ,				lowerCamelCase__						:	Any=None   ,				**lowerCamelCase__						:	Optional[Any]			):
     """simple docstring"""

     __UpperCamelCase	,     __UpperCamelCase	:			List[Any]					=					{}, {}
     if padding is not None:
        __UpperCamelCase	:			List[Any]					=					padding
     if truncation is not None:
        __UpperCamelCase	:			str					=					truncation
     if top_k is not None:
        __UpperCamelCase	:			List[Any]					=					top_k
     return preprocess_params, {}, postprocess_params

  def __call__(    self						:	Tuple   ,				lowerCamelCase__						:	Union["Image.Image", str]   ,				lowerCamelCase__						:	str = None   ,				**lowerCamelCase__						:	Optional[Any]			):
     """simple docstring"""

     if isinstance(lowerCamelCase__   ,				(Image.Image, str)			) and isinstance(lowerCamelCase__   ,				lowerCamelCase__			):
        __UpperCamelCase	:			Tuple					=					{"""image""": image, """question""": question}
     else:
        __UpperCamelCase	:			str					=					image
     __UpperCamelCase	:			int					=					super().__call__(lowerCamelCase__   ,				**lowerCamelCase__			)
     return results

  def    a					(    self						:	Union[str, Any]   ,				lowerCamelCase__						:	int   ,				lowerCamelCase__						:	Optional[Any]=False   ,				lowerCamelCase__						:	Optional[Any]=False			):
     """simple docstring"""

     __UpperCamelCase	:			int					=					load_image(inputs["""image"""]			)
     __UpperCamelCase	:			Optional[Any]					=					self.tokenizer(
         inputs["""question"""]   ,				return_tensors=self.framework   ,				padding=lowerCamelCase__   ,				truncation=lowerCamelCase__			)
     __UpperCamelCase	:			List[Any]					=					self.image_processor(images=lowerCamelCase__   ,				return_tensors=self.framework			)
     model_inputs.update(lowerCamelCase__			)
     return model_inputs

  def    a					(    self						:	Any   ,				lowerCamelCase__						:	List[str]			):
     """simple docstring"""

     __UpperCamelCase	:			str					=					self.model(**lowerCamelCase__			)
     return model_outputs

  def    a					(    self						:	List[str]   ,				lowerCamelCase__						:	int   ,				lowerCamelCase__						:	Optional[Any]=5			):
     """simple docstring"""

     if top_k > self.model.config.num_labels:
        __UpperCamelCase	:			Any					=					self.model.config.num_labels

     if self.framework == "pt":
        __UpperCamelCase	:			Any					=					model_outputs.logits.sigmoid()[0]
        __UpperCamelCase	,     __UpperCamelCase	:			Union[str, Any]					=					probs.topk(lowerCamelCase__			)
     else:
        raise ValueError(f'Unsupported framework: {self.framework}'			)

     __UpperCamelCase	:			str					=					scores.tolist()
     __UpperCamelCase	:			Optional[int]					=					ids.tolist()
     return [{"score": score, "answer": self.model.config.idalabel[_id]} for score, _id in zip(lowerCamelCase__   ,				lowerCamelCase__			)]











UpperCamelCase    							=      8.3_144_598


def 				__lowerCamelCase     (							__lowerCAmelCase							:					float					,							__lowerCAmelCase							:					float							)     ->  float:
   if temperature < 0:
      raise Exception("""Temperature cannot be less than 0 K"""							)
   if molar_mass <= 0:
      raise Exception("""Molar mass cannot be less than or equal to 0 kg/mol"""							)
   else:
      return (3 * UNIVERSAL_GAS_CONSTANT * temperature / molar_mass) ** 0.5


if __name__ == "__main__":
       import doctest

       # run doctest
       doctest.testmod()

       # example
       UpperCamelCase    							=      300
       UpperCamelCase    							=      28
       UpperCamelCase    							=      rms_speed_of_molecule(temperature, molar_mass)
       print(F"""Vrms of Nitrogen gas at 300 K is {vrms} m/s""")



