
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__	=							["text", "image", "audio"]


def 							__A(lowerCAmelCase )		->				Optional[int]:

		"""simple docstring"""






		_UpperCamelCase						    =	[]

		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 							__A(lowerCAmelCase )		->				Union[str, Any]:

		"""simple docstring"""






		_UpperCamelCase						    =	[]

		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        lowerCAmelCase__      :

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


								'''simple docstring'''

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

								_UpperCamelCase						    =	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				)

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

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


								'''simple docstring'''

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

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

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

						def  A_				(			self				)					->      int:


								'''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  A_				(			self				)					->      Optional[int]:


								'''simple docstring'''

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

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

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

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







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


								'''simple docstring'''

								_UpperCamelCase						    =	create_inputs(self.tool.inputs				)

								_UpperCamelCase						    =	[]

								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
								_UpperCamelCase						    =	self.tool(*_A				)

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

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





lowerCamelCase__	=							[
    "DownloadConfig",
    "DownloadManager",
    "DownloadMode",
    "StreamingDownloadManager",
]

from .download_config import DownloadConfig
from .download_manager import DownloadManager, DownloadMode
from .streaming_download_manager import StreamingDownloadManager



