
"""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


UpperCamelCase_       :    Optional[Any]						      =			['''text''', '''image''', '''audio''']
def 				A_  (__a					):

					'''simple docstring'''





					A_								=    []

					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					):

					'''simple docstring'''





					A_								=    []

					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 __lowerCAmelCase					:




			"""simple docstring"""







			def   lowerCamelCase__  (					self    :       str						)   ->			Dict:







								"""simple docstring"""
								self.assertTrue(hasattr(self.tool							, "inputs"						)						)
								self.assertTrue(hasattr(self.tool							, "outputs"						)						)

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

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




			def   lowerCamelCase__  (					self    :       Union[str, Any]						)   ->			Tuple:







								"""simple docstring"""
								A_								=    create_inputs(self.tool.inputs						)
								A_								=    self.tool(*_snake_case						)

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

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




			def   lowerCamelCase__  (					self    :       Dict						)   ->			Tuple:







								"""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   lowerCamelCase__  (					self    :       Union[str, Any]						)   ->			Tuple:







								"""simple docstring"""
								A_								=    create_inputs(self.tool.inputs						)
								A_								=    self.tool(*_snake_case						)

								if not isinstance(_snake_case							, _snake_case						):
													A_								=    [outputs]

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

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






			def   lowerCamelCase__  (					self    :       Tuple						)   ->			Optional[Any]:







								"""simple docstring"""
								A_								=    create_inputs(self.tool.inputs						)

								A_								=    []

								for _input, input_type in zip(_snake_case							, self.tool.inputs						):
													if isinstance(_snake_case							, _snake_case						):
																		_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_								=    self.tool(*_snake_case						)

								if not isinstance(_snake_case							, _snake_case						):
													A_								=    [outputs]

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






"""simple docstring"""





from __future__ import annotations
def 				A_  (__a					):

					'''simple docstring'''





					A_								=    0.00
					A_								=    0
					for resistor in resistors:
										if resistor <= 0:
															A_								=    f'Resistor at index {index} has a negative or zero value!'
															raise ValueError(__a					)
										first_sum += 1 / float(__a					)
										index += 1
					return 1 / first_sum
def 				A_  (__a					):

					'''simple docstring'''





					A_								=    0.00
					A_								=    0
					for resistor in resistors:
										sum_r += resistor
										if resistor < 0:
															A_								=    f'Resistor at index {index} has a negative value!'
															raise ValueError(__a					)
										index += 1
					return sum_r


if __name__ == "__main__":
		import doctest

		doctest.testmod()




