



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 				A				(					_lowerCamelCase  ):





							'''simple docstring'''




							_lowerCAmelCase     :							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((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 				A				(					_lowerCamelCase  ):





							'''simple docstring'''




							_lowerCAmelCase     :							Optional[int]    =    []

							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   UpperCAmelCase_    :







							def    snake_case__      (   self):

														'''simple docstring'''

														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,			__a):
																												for __input in _input:
																																			self.assertTrue(__input in authorized_types)
																					else:
																												self.assertTrue(_input in authorized_types)

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







							def    snake_case__      (   self):

														'''simple docstring'''

														_lowerCAmelCase     :							List[Any]    =    create_inputs(self.tool.inputs)
														_lowerCAmelCase     :							Dict    =    self.tool(*__a)

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

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







							def    snake_case__      (   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    snake_case__      (   self):

														'''simple docstring'''

														_lowerCAmelCase     :							Dict    =    create_inputs(self.tool.inputs)
														_lowerCAmelCase     :							Any    =    self.tool(*__a)

														if not isinstance(__a,			__a):
																					_lowerCAmelCase     :							str    =    [outputs]

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

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







							def    snake_case__      (   self):

														'''simple docstring'''

														_lowerCAmelCase     :							Tuple    =    create_inputs(self.tool.inputs)

														_lowerCAmelCase     :							Tuple    =    []

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

														if not isinstance(__a,			__a):
																					_lowerCAmelCase     :							Any    =    [outputs]

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


import os
from distutils.util import strtobool
def  lowerCAmelCase__			(  SCREAMING_SNAKE_CASE_       ,							SCREAMING_SNAKE_CASE_     )				->		Optional[Any]:
			for e in env_keys:
						lowerCAmelCase__      :      Union[str, Any]         =		int(os.environ.get(SCREAMING_SNAKE_CASE_       ,							-1     )     )
						if val >= 0:
									return val
			return default
def  lowerCAmelCase__			(  SCREAMING_SNAKE_CASE_       ,							SCREAMING_SNAKE_CASE_=False     )				->		List[str]:
			lowerCAmelCase__      :      Optional[int]         =		os.environ.get(SCREAMING_SNAKE_CASE_       ,							str(SCREAMING_SNAKE_CASE_     )     )
			return strtobool(SCREAMING_SNAKE_CASE_     ) == 1  # As its name indicates `strtobool` actually returns an int...







def  lowerCAmelCase__			(  SCREAMING_SNAKE_CASE_       ,							SCREAMING_SNAKE_CASE_="no"     )				->		List[str]:
			lowerCAmelCase__      :      Optional[int]         =		os.environ.get(SCREAMING_SNAKE_CASE_       ,							str(SCREAMING_SNAKE_CASE_     )     )
			return value