

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    SCREAMING_SNAKE_CASE__       (  lowerCamelCase__			)  ->     List[Any]:
	__lowerCamelCase				:				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((5_1_2, 5_1_2)			)			)
		elif input_type == "audio":
			inputs.append(torch.ones(3_0_0_0			)			)
		elif isinstance(lowerCamelCase__	, lowerCamelCase__			):
			inputs.append(create_inputs(lowerCamelCase__			)			)
		else:
			raise ValueError(F"Invalid type requested: {input_type}"			)

	return inputs






def    SCREAMING_SNAKE_CASE__       (  lowerCamelCase__			)  ->     List[Any]:
	__lowerCamelCase				:				List[Any]					       = []

	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        A_		:
							def     lowerCAmelCase     (		self		:			Union[str, Any]):
								self.assertTrue(hasattr(self.tool   ,'inputs'))
								self.assertTrue(hasattr(self.tool   ,'outputs'))

								__lowerCamelCase				:				Dict					       = self.tool.inputs
								for _input in inputs:
									if isinstance(_input   ,SCREAMING_SNAKE_CASE__):
										for __input in _input:
											self.assertTrue(__input in authorized_types)
									else:
										self.assertTrue(_input in authorized_types)

								__lowerCamelCase				:				Dict					       = self.tool.outputs
								for _output in outputs:
									self.assertTrue(_output in authorized_types)
							def     lowerCAmelCase     (		self		:			List[str]):
								__lowerCamelCase				:				Optional[int]					       = create_inputs(self.tool.inputs)
								__lowerCamelCase				:				Tuple					       = self.tool(*SCREAMING_SNAKE_CASE__)

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

								self.assertListEqual(output_types(SCREAMING_SNAKE_CASE__)   ,self.tool.outputs)
							def     lowerCAmelCase     (		self		:			Union[str, Any]):
								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		:			Dict):
								__lowerCamelCase				:				Union[str, Any]					       = create_inputs(self.tool.inputs)
								__lowerCamelCase				:				List[str]					       = self.tool(*SCREAMING_SNAKE_CASE__)

								if not isinstance(SCREAMING_SNAKE_CASE__   ,SCREAMING_SNAKE_CASE__):
									__lowerCamelCase				:				List[str]					       = [outputs]

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

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


							def     lowerCAmelCase     (		self		:			Any):
								__lowerCamelCase				:				Optional[Any]					       = create_inputs(self.tool.inputs)

								__lowerCamelCase				:				Optional[Any]					       = []

								for _input, input_type in zip(SCREAMING_SNAKE_CASE__   ,self.tool.inputs):
									if isinstance(SCREAMING_SNAKE_CASE__   ,SCREAMING_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
								__lowerCamelCase				:				Tuple					       = self.tool(*SCREAMING_SNAKE_CASE__)

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

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











"""simple docstring"""





# This is the module that test_patching.py uses to test patch_submodule()

import os  # noqa: this is just for tests
import os as renamed_os  # noqa: this is just for tests
from os import path  # noqa: this is just for tests
from os import path as renamed_path  # noqa: this is just for tests
from os.path import join  # noqa: this is just for tests
from os.path import join as renamed_join  # noqa: this is just for tests


SCREAMING_SNAKE_CASE__					=   open  # noqa: we just need to have a builtin inside this module to test it properly






