




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 lowerCamelCase__  (     _lowercase ):

     '''simple docstring'''


     UpperCAmelCase_     :				int  =     []

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

     return inputs







def lowerCamelCase__  (     _lowercase ):

     '''simple docstring'''


     UpperCAmelCase_     :				Dict  =     []

     for output in outputs:
          if isinstance(_lowercase					,		(str, AgentText) ):
               output_types.append('''text''' )
          elif isinstance(_lowercase					,		(Image.Image, AgentImage) ):
               output_types.append('''image''' )
          elif isinstance(_lowercase					,		(torch.Tensor, AgentAudio) ):
               output_types.append('''audio''' )
          else:
               raise ValueError(f'''Invalid output: {output}''' )

     return output_types



@is_tool_test
class     __a:






    """simple docstring"""





    def 				a__ ( self    )					->						Union[str, Any]:
         self.assertTrue(hasattr(self.tool  ,'''inputs'''    )    )
         self.assertTrue(hasattr(self.tool  ,'''outputs'''    )    )

         UpperCAmelCase_     :				str  =     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    )

         UpperCAmelCase_     :				Union[str, Any]  =     self.tool.outputs
         for _output in outputs:
              self.assertTrue(_output in authorized_types    )





    def 				a__ ( self    )					->						Any:
         UpperCAmelCase_     :				Union[str, Any]  =     create_inputs(self.tool.inputs    )
         UpperCAmelCase_     :				Any  =     self.tool(*_SCREAMING_SNAKE_CASE    )

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

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





    def 				a__ ( self    )					->						Optional[int]:
         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]:
         UpperCAmelCase_     :				Optional[Any]  =     create_inputs(self.tool.inputs    )
         UpperCAmelCase_     :				str  =     self.tool(*_SCREAMING_SNAKE_CASE    )

         if not isinstance(_SCREAMING_SNAKE_CASE  ,_SCREAMING_SNAKE_CASE    ):
              UpperCAmelCase_     :				Union[str, Any]  =     [outputs]

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

         for output, output_type in zip(_SCREAMING_SNAKE_CASE  ,self.tool.outputs    ):
              UpperCAmelCase_     :				Union[str, Any]  =     AGENT_TYPE_MAPPING[output_type]
              self.assertTrue(isinstance(_SCREAMING_SNAKE_CASE  ,_SCREAMING_SNAKE_CASE    )    )





    def 				a__ ( self    )					->						Any:
         UpperCAmelCase_     :				Union[str, Any]  =     create_inputs(self.tool.inputs    )

         UpperCAmelCase_     :				Tuple  =     []

         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
         UpperCAmelCase_     :				List[Any]  =     self.tool(*_SCREAMING_SNAKE_CASE    )

         if not isinstance(_SCREAMING_SNAKE_CASE  ,_SCREAMING_SNAKE_CASE    ):
              UpperCAmelCase_     :				Optional[Any]  =     [outputs]

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



import os

import pytest

from datasets import (
    get_dataset_config_info,
    get_dataset_config_names,
    get_dataset_infos,
    get_dataset_split_names,
    inspect_dataset,
    inspect_metric,
)


A				:       List[str]      =  pytest.mark.integration





@pytest.mark.parametrize("path"   ,						["paws", "csv"]			)
def 						_lowerCAmelCase							(     _lowerCAmelCase   ,						_lowerCAmelCase			)    ->						Any:


						'''simple docstring'''






						inspect_dataset(_lowerCAmelCase   ,						_lowerCAmelCase			)
						__snake_case				=		path + ".py"
						assert script_name in os.listdir(_lowerCAmelCase			)
						assert "__pycache__" not in os.listdir(_lowerCAmelCase			)





@pytest.mark.filterwarnings("ignore:inspect_metric is deprecated:FutureWarning"			)
@pytest.mark.filterwarnings("ignore:metric_module_factory is deprecated:FutureWarning"			)
@pytest.mark.parametrize("path"   ,						["accuracy"]			)
def 						_lowerCAmelCase							(     _lowerCAmelCase   ,						_lowerCAmelCase			)    ->						List[str]:


						'''simple docstring'''






						inspect_metric(_lowerCAmelCase   ,						_lowerCAmelCase			)
						__snake_case				=		path + ".py"
						assert script_name in os.listdir(_lowerCAmelCase			)
						assert "__pycache__" not in os.listdir(_lowerCAmelCase			)





@pytest.mark.parametrize(
    "path, config_name, expected_splits"   ,						[
        ("squad", "plain_text", ["train", "validation"]),
        ("dalle-mini/wit", "dalle-mini--wit", ["train"]),
        ("paws", "labeled_final", ["train", "test", "validation"]),
    ]   ,						)
def 						_lowerCAmelCase							(     _lowerCAmelCase   ,						_lowerCAmelCase   ,						_lowerCAmelCase			)    ->						List[Any]:


						'''simple docstring'''






						__snake_case				=		get_dataset_config_info(_lowerCAmelCase   ,						config_name=_lowerCAmelCase			)
						assert info.config_name == config_name
						assert list(info.splits.keys()			) == expected_splits





@pytest.mark.parametrize(
    "path, config_name, expected_exception"   ,						[
        ("paws", None, ValueError),
    ]   ,						)
def 						_lowerCAmelCase							(     _lowerCAmelCase   ,						_lowerCAmelCase   ,						_lowerCAmelCase			)    ->						Tuple:


						'''simple docstring'''






						with pytest.raises(_lowerCAmelCase			):
												get_dataset_config_info(_lowerCAmelCase   ,						config_name=_lowerCAmelCase			)





@pytest.mark.parametrize(
    "path, expected"   ,						[
        ("squad", "plain_text"),
        ("acronym_identification", "default"),
        ("lhoestq/squad", "plain_text"),
        ("lhoestq/test", "default"),
        ("lhoestq/demo1", "lhoestq--demo1"),
        ("dalle-mini/wit", "dalle-mini--wit"),
    ]   ,						)
def 						_lowerCAmelCase							(     _lowerCAmelCase   ,						_lowerCAmelCase			)    ->						Tuple:


						'''simple docstring'''






						__snake_case				=		get_dataset_config_names(_lowerCAmelCase			)
						assert expected in config_names





@pytest.mark.parametrize(
    "path, expected_configs, expected_splits_in_first_config"   ,						[
        ("squad", ["plain_text"], ["train", "validation"]),
        ("dalle-mini/wit", ["dalle-mini--wit"], ["train"]),
        ("paws", ["labeled_final", "labeled_swap", "unlabeled_final"], ["train", "test", "validation"]),
    ]   ,						)
def 						_lowerCAmelCase							(     _lowerCAmelCase   ,						_lowerCAmelCase   ,						_lowerCAmelCase			)    ->						Any:


						'''simple docstring'''






						__snake_case				=		get_dataset_infos(_lowerCAmelCase			)
						assert list(infos.keys()			) == expected_configs
						__snake_case				=		expected_configs[0]
						assert expected_config in infos
						__snake_case				=		infos[expected_config]
						assert info.config_name == expected_config
						assert list(info.splits.keys()			) == expected_splits_in_first_config





@pytest.mark.parametrize(
    "path, expected_config, expected_splits"   ,						[
        ("squad", "plain_text", ["train", "validation"]),
        ("dalle-mini/wit", "dalle-mini--wit", ["train"]),
        ("paws", "labeled_final", ["train", "test", "validation"]),
    ]   ,						)
def 						_lowerCAmelCase							(     _lowerCAmelCase   ,						_lowerCAmelCase   ,						_lowerCAmelCase			)    ->						int:


						'''simple docstring'''






						__snake_case				=		get_dataset_infos(_lowerCAmelCase			)
						assert expected_config in infos
						__snake_case				=		infos[expected_config]
						assert info.config_name == expected_config
						assert list(info.splits.keys()			) == expected_splits





@pytest.mark.parametrize(
    "path, config_name, expected_exception"   ,						[
        ("paws", None, ValueError),
    ]   ,						)
def 						_lowerCAmelCase							(     _lowerCAmelCase   ,						_lowerCAmelCase   ,						_lowerCAmelCase			)    ->						str:


						'''simple docstring'''






						with pytest.raises(_lowerCAmelCase			):
												get_dataset_split_names(_lowerCAmelCase   ,						config_name=_lowerCAmelCase			)





