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


snake_case      =    ['text', 'image', 'audio']






def        UpperCamelCase_							(			lowerCAmelCase__  ):



					"""simple docstring"""

					_lowerCAmelCase			:		List[str]          = []

					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((5_12, 5_12)  )  )
										elif input_type == "audio":
															inputs.append(torch.ones(30_00  )  )
										elif isinstance(__UpperCAmelCase						,	__UpperCAmelCase  ):
															inputs.append(create_inputs(__UpperCAmelCase  )  )
										else:
															raise ValueError(f"""Invalid type requested: {input_type}"""  )

					return inputs






def        UpperCamelCase_							(			lowerCAmelCase__  ):



					"""simple docstring"""

					_lowerCAmelCase			:		Optional[Any]          = []

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

					return output_types



@is_tool_test
class __A     :

							'''simple docstring'''

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

												_lowerCAmelCase			:		List[Any]          = self.tool.inputs
												for _input in inputs:
																	if isinstance(_input   ,	lowercase_ ):
																						for __input in _input:
																											self.assertTrue(__input in authorized_types )
																	else:
																						self.assertTrue(_input in authorized_types )

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






							def 	SCREAMING_SNAKE_CASE__			(				self ):
												_lowerCAmelCase			:		int          = create_inputs(self.tool.inputs )
												_lowerCAmelCase			:		Dict          = self.tool(*lowercase_ )

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

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






							def 	SCREAMING_SNAKE_CASE__			(				self ):
												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 	SCREAMING_SNAKE_CASE__			(				self ):
												_lowerCAmelCase			:		Any          = create_inputs(self.tool.inputs )
												_lowerCAmelCase			:		List[str]          = self.tool(*lowercase_ )

												if not isinstance(lowercase_   ,	lowercase_ ):
																	_lowerCAmelCase			:		int          = [outputs]

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

												for output, output_type in zip(lowercase_   ,	self.tool.outputs ):
																	_lowerCAmelCase			:		List[Any]          = AGENT_TYPE_MAPPING[output_type]
																	self.assertTrue(isinstance(lowercase_   ,	lowercase_ ) )






							def 	SCREAMING_SNAKE_CASE__			(				self ):
												_lowerCAmelCase			:		List[str]          = create_inputs(self.tool.inputs )

												_lowerCAmelCase			:		Union[str, Any]          = []

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

												if not isinstance(lowercase_   ,	lowercase_ ):
																	_lowerCAmelCase			:		Dict          = [outputs]

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












'''simple docstring'''

def 						__magic_name__       (      __UpperCAmelCase, __UpperCAmelCase      )						->   int:

					'''simple docstring'''

					return int((input_a, input_a).count(0      ) == 0      )


def 						__magic_name__       (      )						->   None:

					'''simple docstring'''

					assert and_gate(0, 0      ) == 0
					assert and_gate(0, 1      ) == 0
					assert and_gate(1, 0      ) == 0
					assert and_gate(1, 1      ) == 1


if __name__ == "__main__":
							test_and_gate()
							print(and_gate(1, 0))
							print(and_gate(0, 0))
							print(and_gate(0, 1))
							print(and_gate(1, 1))

