

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			:					Optional[int]						=			['text', 'image', 'audio']





def 	__a     (      A__			:  List[str]       ):
    SCREAMING_SNAKE_CASE										=   []

    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(A__			,  A__       ):
            inputs.append(create_inputs(A__       )       )
        else:
            raise ValueError(F"Invalid type requested: {input_type}"       )

    return inputs





def 	__a     (      A__			:  List       ):
    SCREAMING_SNAKE_CASE										=   []

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

    return output_types





@is_tool_test
class 			_SCREAMING_SNAKE_CASE :







   '''simple docstring'''




   def      _snake_case		(       self					:			str			):
       self.assertTrue(hasattr(self.tool     , "inputs"			)			)
       self.assertTrue(hasattr(self.tool     , "outputs"			)			)

       SCREAMING_SNAKE_CASE										=   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			)

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





   def      _snake_case		(       self					:			Optional[Any]			):
       SCREAMING_SNAKE_CASE										=   create_inputs(self.tool.inputs			)
       SCREAMING_SNAKE_CASE										=   self.tool(*__lowerCamelCase			)

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

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





   def      _snake_case		(       self					:			Dict			):
       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      _snake_case		(       self					:			Optional[int]			):
       SCREAMING_SNAKE_CASE										=   create_inputs(self.tool.inputs			)
       SCREAMING_SNAKE_CASE										=   self.tool(*__lowerCamelCase			)

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

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

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





   def      _snake_case		(       self					:			int			):
       SCREAMING_SNAKE_CASE										=   create_inputs(self.tool.inputs			)

       SCREAMING_SNAKE_CASE										=   []

       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
       SCREAMING_SNAKE_CASE										=   self.tool(*__lowerCamelCase			)

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

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







'''simple docstring'''

def 				snake_case       (  a_				:			list[int]     , a_				:			list[int]						)							->					tuple[float, float]:





      """simple docstring"""

      if not len(a_						) == len(a_						) == 3:
            raise ValueError("""Please enter a valid equation."""						)
      if equationa[0] == equationa[1] == equationa[0] == equationa[1] == 0:
            raise ValueError("""Both a & b of two equations can't be zero."""						)

      # Extract the coefficients
      UpperCamelCase_     ,      UpperCamelCase_     ,      UpperCamelCase_					: Optional[int]            =				equationa
      UpperCamelCase_     ,      UpperCamelCase_     ,      UpperCamelCase_					: List[str]            =				equationa

      # Calculate the determinants of the matrices
      UpperCamelCase_					: Union[str, Any]            =				aa * ba - aa * ba
      UpperCamelCase_					: Dict            =				ca * ba - ca * ba
      UpperCamelCase_					: Dict            =				aa * ca - aa * ca

      # Check if the system of linear equations has a solution (using Cramer's rule)
      if determinant == 0:
            if determinant_x == determinant_y == 0:
                  raise ValueError("""Infinite solutions. (Consistent system)"""						)
            else:
                  raise ValueError("""No solution. (Inconsistent system)"""						)
      else:
            if determinant_x == determinant_y == 0:
                  # Trivial solution (Inconsistent system)
                  return (0.0, 0.0)
            else:
                  UpperCamelCase_					: List[Any]            =				determinant_x / determinant
                  UpperCamelCase_					: List[str]            =				determinant_y / determinant
                  # Non-Trivial Solution (Consistent system)
                  return (x, y)






