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


_lowerCamelCase					:   Dict							=		['''text''', '''image''', '''audio''']





def 	__lowerCamelCase							(UpperCAmelCase__     :							List[str]  ):
					SCREAMING_SNAKE_CASE    			=       []

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

					return inputs





def 	__lowerCamelCase							(UpperCAmelCase__     :							List  ):
					SCREAMING_SNAKE_CASE    			=       []

					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 						lowercase    :




							def 	__snake_case(						self   :					str      )					->				List[Any]:



												'''simple docstring'''

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

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

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




							def 	__snake_case(						self   :					int      )					->				Tuple:



												'''simple docstring'''

												SCREAMING_SNAKE_CASE    			=       create_inputs(self.tool.inputs      )
												SCREAMING_SNAKE_CASE    			=       self.tool(*_UpperCamelCase      )

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

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




							def 	__snake_case(						self   :					List[str]      )					->				List[str]:



												'''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   :					Optional[int]      )					->				Optional[Any]:



												'''simple docstring'''

												SCREAMING_SNAKE_CASE    			=       create_inputs(self.tool.inputs      )
												SCREAMING_SNAKE_CASE    			=       self.tool(*_UpperCamelCase      )

												if not isinstance(_UpperCamelCase	,							_UpperCamelCase      ):
																	SCREAMING_SNAKE_CASE    			=       [outputs]

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

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





							def 	__snake_case(						self   :					List[Any]      )					->				Optional[int]:



												'''simple docstring'''

												SCREAMING_SNAKE_CASE    			=       create_inputs(self.tool.inputs      )

												SCREAMING_SNAKE_CASE    			=       []

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

												if not isinstance(_UpperCamelCase	,							_UpperCamelCase      ):
																	SCREAMING_SNAKE_CASE    			=       [outputs]

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





def 	__lowerCamelCase							(UpperCAmelCase__     :							list[int]  ):
					if not numbers:
										return 0

					if not isinstance(UpperCAmelCase__      , (list, tuple)  ) or not all(
					    isinstance(UpperCAmelCase__      , UpperCAmelCase__  ) for number in numbers  ):
										raise ValueError("numbers must be an iterable of integers"  )

					SCREAMING_SNAKE_CASE    			=       SCREAMING_SNAKE_CASE    			=       SCREAMING_SNAKE_CASE    			=       numbers[0]

					for i in range(1      , len(UpperCAmelCase__  )  ):
										# update the maximum and minimum subarray products
										SCREAMING_SNAKE_CASE    			=       numbers[i]
										if number < 0:
															SCREAMING_SNAKE_CASE			,   SCREAMING_SNAKE_CASE    			=       min_till_now, max_till_now
										SCREAMING_SNAKE_CASE    			=       max(UpperCAmelCase__      , max_till_now * number  )
										SCREAMING_SNAKE_CASE    			=       min(UpperCAmelCase__      , min_till_now * number  )

										# update the maximum product found till now
										SCREAMING_SNAKE_CASE    			=       max(UpperCAmelCase__      , UpperCAmelCase__  )

					return max_prod




