





"""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


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







def 		__lowercase					(       snake_case_  :  List[str]						)       ->List[str]:



    '''simple docstring'''







    __A   :						List[Any]									=					[]

    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(3000						)						)
        elif isinstance(snake_case_    ,snake_case_						):
            inputs.append(create_inputs(snake_case_						)						)
        else:
            raise ValueError(F"""Invalid type requested: {input_type}"""						)

    return inputs







def 		__lowercase					(       snake_case_  :  List						)       ->Union[str, Any]:



    '''simple docstring'''







    __A   :						Optional[int]									=					[]

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

    return output_types






@is_tool_test
class 		__snake_case :





 """simple docstring"""


 def  UpperCamelCase__(   self  ):



     '''simple docstring'''




     self.assertTrue(hasattr(self.tool ,						'''inputs'''  )  )
     self.assertTrue(hasattr(self.tool ,						'''outputs'''  )  )

     __A   :						Optional[int]									=					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  )

     __A   :						List[Any]									=					self.tool.outputs
     for _output in outputs:
         self.assertTrue(_output in authorized_types  )

 def  UpperCamelCase__(   self  ):



     '''simple docstring'''




     __A   :						List[str]									=					create_inputs(self.tool.inputs  )
     __A   :						str									=					self.tool(*__lowerCamelCase  )

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

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

 def  UpperCamelCase__(   self  ):



     '''simple docstring'''




     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  UpperCamelCase__(   self  ):



     '''simple docstring'''




     __A   :						List[str]									=					create_inputs(self.tool.inputs  )
     __A   :						Tuple									=					self.tool(*__lowerCamelCase  )

     if not isinstance(__lowerCamelCase ,						__lowerCamelCase  ):
         __A   :						Tuple									=					[outputs]

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

     for output, output_type in zip(__lowerCamelCase ,						self.tool.outputs  ):
         __A   :						Optional[Any]									=					AGENT_TYPE_MAPPING[output_type]
         self.assertTrue(isinstance(__lowerCamelCase ,						__lowerCamelCase  )  )







 def  UpperCamelCase__(   self  ):



     '''simple docstring'''




     __A   :						str									=					create_inputs(self.tool.inputs  )

     __A   :						List[str]									=					[]

     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
     __A   :						List[str]									=					self.tool(*__lowerCamelCase  )

     if not isinstance(__lowerCamelCase ,						__lowerCamelCase  ):
         __A   :						Optional[int]									=					[outputs]

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











"""simple docstring"""



a_			=      {
    """meter""": """m""",
    """kilometer""": """km""",
    """megametre""": """Mm""",
    """gigametre""": """Gm""",
    """terametre""": """Tm""",
    """petametre""": """Pm""",
    """exametre""": """Em""",
    """zettametre""": """Zm""",
    """yottametre""": """Ym""",
}
# Exponent of the factor(meter)
a_			=      {
    """m""": 0,
    """km""": 3,
    """Mm""": 6,
    """Gm""": 9,
    """Tm""": 12,
    """Pm""": 15,
    """Em""": 18,
    """Zm""": 21,
    """Ym""": 24,
}







def 		__lowercase					(       snake_case_  :  float    ,snake_case_  :  str    ,snake_case_  :  str						)       ->float:



    '''simple docstring'''







    __A   :						Tuple									=					from_type.lower().strip('''s'''						)
    __A   :						Optional[int]									=					to_type.lower().strip('''s'''						)

    __A   :						List[str]									=					UNIT_SYMBOL.get(snake_case_    ,snake_case_						)
    __A   :						Any									=					UNIT_SYMBOL.get(snake_case_    ,snake_case_						)

    if from_sanitized not in METRIC_CONVERSION:
        __A   :						int									=					(
            F"""Invalid 'from_type' value: {from_type!r}.\n"""
            F"""Conversion abbreviations are: {', '.join(snake_case_						)}"""
        )
        raise ValueError(snake_case_						)
    if to_sanitized not in METRIC_CONVERSION:
        __A   :						str									=					(
            F"""Invalid 'to_type' value: {to_type!r}.\n"""
            F"""Conversion abbreviations are: {', '.join(snake_case_						)}"""
        )
        raise ValueError(snake_case_						)
    __A   :						Optional[Any]									=					METRIC_CONVERSION[from_sanitized]
    __A   :						Optional[int]									=					METRIC_CONVERSION[to_sanitized]
    __A   :						Union[str, Any]									=					1

    if from_exponent > to_exponent:
        __A   :						Dict									=					from_exponent - to_exponent
    else:
        __A   :						Union[str, Any]									=					-(to_exponent - from_exponent)

    return value * pow(10    ,snake_case_						)


if __name__ == "__main__":
       from doctest import testmod

       testmod()




