'''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


_lowercase		:				Union[str, Any]	       =		["text", "image", "audio"]




def 							lowerCamelCase			(   UpperCAmelCase__ :      List[str]				)    ->   List[Any]:
							lowercase_      :    Dict       		= []

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

							return inputs




def 							lowerCamelCase			(   UpperCAmelCase__ :      List				)    ->   List[Any]:
							lowercase_      :    str       		= []

							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 					__magic_name__		:







			def 			SCREAMING_SNAKE_CASE_  (			self       :						List[Any]					):
										self.assertTrue(hasattr(self.tool       ,    """inputs"""					)					)
										self.assertTrue(hasattr(self.tool       ,    """outputs"""					)					)

										lowercase_      :    List[str]       		= 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					)

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







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

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

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







			def 			SCREAMING_SNAKE_CASE_  (			self       :						Tuple					):
										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       :						Dict					):
										lowercase_      :    List[Any]       		= create_inputs(self.tool.inputs					)
										lowercase_      :    Optional[int]       		= self.tool(*lowercase_					)

										if not isinstance(lowercase_       ,    lowercase_					):
																	lowercase_      :    List[Any]       		= [outputs]

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

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







			def 			SCREAMING_SNAKE_CASE_  (			self       :						Any					):
										lowercase_      :    int       		= create_inputs(self.tool.inputs					)

										lowercase_      :    Dict       		= []

										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
										lowercase_      :    Dict       		= self.tool(*lowercase_					)

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

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






'''simple docstring'''




from __future__ import annotations




def 							lowerCamelCase			(   UpperCAmelCase__ :      list   ,   UpperCAmelCase__ :      int | None = None   ,   UpperCAmelCase__ :      int | None = None				)    ->   None:
							if start is None:
														lowercase_      :    Any       		= 0

							if end is None:
														lowercase_      :    List[Any]       		= len(UpperCAmelCase__				) - 1

							if start >= end:
														return

							lowercase_      :    Optional[int]       		= (start + end) // 2

							slowsort(UpperCAmelCase__   ,   UpperCAmelCase__   ,   UpperCAmelCase__				)
							slowsort(UpperCAmelCase__   ,   mid + 1   ,   UpperCAmelCase__				)

							if sequence[end] < sequence[mid]:
														lowercase_		,		lowercase_      :    Dict       		= sequence[mid], sequence[end]

							slowsort(UpperCAmelCase__   ,   UpperCAmelCase__   ,   end - 1				)


if __name__ == "__main__":
						from doctest import testmod

						testmod()





