



'''simple docstring'''





from pathlib import Path
from typing import List

from transformers import is_torch_available, is_vision_available
from transformers.testing_utils import get_tests_dir, is_tool_test
from transformers.tools.agent_types import AGENT_TYPE_MAPPING, AgentAudio, AgentImage, AgentText


if is_torch_available():
 import torch

if is_vision_available():
 from PIL import Image


SCREAMING_SNAKE_CASE__          =  ["text", "image", "audio"]




def 							lowerCamelCase	(					_snake_case	:    List[str]							):





    '''simple docstring'''


    lowercase__									=    []

    for input_type in input_types:
        if input_type == "text":
            inputs.append("Text input"							)
        elif input_type == "image":
            inputs.append(
                Image.open(Path(get_tests_dir("fixtures/tests_samples/COCO"							)							) / "000000039769.png"							).resize((512, 512)							)							)
        elif input_type == "audio":
            inputs.append(torch.ones(3_000							)							)
        elif isinstance(__lowerCAmelCase  ,__lowerCAmelCase							):
            inputs.append(create_inputs(__lowerCAmelCase							)							)
        else:
            raise ValueError(f'''Invalid type requested: {input_type}'''							)

    return inputs




def 							lowerCamelCase	(					_snake_case	:    List							):





    '''simple docstring'''


    lowercase__									=    []

    for output in outputs:
        if isinstance(__lowerCAmelCase  ,(str, AgentText)							):
            output_types.append("text"							)
        elif isinstance(__lowerCAmelCase  ,(Image.Image, AgentImage)							):
            output_types.append("image"							)
        elif isinstance(__lowerCAmelCase  ,(torch.Tensor, AgentAudio)							):
            output_types.append("audio"							)
        else:
            raise ValueError(f'''Invalid output: {output}'''							)

    return output_types



@is_tool_test
class 					snake_case			:



       def 				_a   (					self   )	->				List[Any]:
           self.assertTrue(hasattr(self.tool  ,"inputs"   )   )
           self.assertTrue(hasattr(self.tool  ,"outputs"   )   )

           lowercase__									=    self.tool.inputs
           for _input in inputs:
               if isinstance(_input  ,lowerCamelCase__   ):
                   for __input in _input:
                       self.assertTrue(__input in authorized_types   )
               else:
                   self.assertTrue(_input in authorized_types   )

           lowercase__									=    self.tool.outputs
           for _output in outputs:
               self.assertTrue(_output in authorized_types   )



       def 				_a   (					self   )	->				str:
           lowercase__									=    create_inputs(self.tool.inputs   )
           lowercase__									=    self.tool(*lowerCamelCase__   )

           # There is a single output
           if len(self.tool.outputs   ) == 1:
               lowercase__									=    [outputs]

           self.assertListEqual(output_types(lowerCamelCase__   )  ,self.tool.outputs   )



       def 				_a   (					self   )	->				List[Any]:
           self.assertTrue(hasattr(self.tool  ,"description"   )   )
           self.assertTrue(hasattr(self.tool  ,"default_checkpoint"   )   )
           self.assertTrue(self.tool.description.startswith("This is a tool that"   )   )



       def 				_a   (					self   )	->				List[Any]:
           lowercase__									=    create_inputs(self.tool.inputs   )
           lowercase__									=    self.tool(*lowerCamelCase__   )

           if not isinstance(lowerCamelCase__  ,lowerCamelCase__   ):
               lowercase__									=    [outputs]

           self.assertEqual(len(lowerCamelCase__   )  ,len(self.tool.outputs   )   )

           for output, output_type in zip(lowerCamelCase__  ,self.tool.outputs   ):
               lowercase__									=    AGENT_TYPE_MAPPING[output_type]
               self.assertTrue(isinstance(lowerCamelCase__  ,lowerCamelCase__   )   )







       def 				_a   (					self   )	->				Union[str, Any]:
           lowercase__									=    create_inputs(self.tool.inputs   )

           lowercase__									=    []

           for _input, input_type in zip(lowerCamelCase__  ,self.tool.inputs   ):
               if isinstance(lowerCamelCase__  ,lowerCamelCase__   ):
                   _inputs.append([AGENT_TYPE_MAPPING[_input_type](_input   ) for _input_type in input_type]   )
               else:
                   _inputs.append(AGENT_TYPE_MAPPING[input_type](_input   )   )

               # Should not raise an error
           lowercase__									=    self.tool(*lowerCamelCase__   )

           if not isinstance(lowerCamelCase__  ,lowerCamelCase__   ):
               lowercase__									=    [outputs]

           self.assertEqual(len(lowerCamelCase__   )  ,len(self.tool.outputs   )   )












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""")



