
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,
)


_SCREAMING_SNAKE_CASE    :      Optional[Any]          =			pytest.mark.integration

@pytest.mark.parametrize('''path'''							,						['''paws''', '''csv''']       )
def 				SCREAMING_SNAKE_CASE     (      __UpperCamelCase :						Optional[int]							,						__UpperCamelCase :						str       ) ->       Tuple:

				"""simple docstring"""







				inspect_dataset(__UpperCamelCase							,						__UpperCamelCase       )
				A__  :	Any         =							path + '''.py'''
				assert script_name in os.listdir(__UpperCamelCase       )
				assert "__pycache__" not in os.listdir(__UpperCamelCase       )

@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 				SCREAMING_SNAKE_CASE     (      __UpperCamelCase :						List[Any]							,						__UpperCamelCase :						Optional[Any]       ) ->       List[Any]:

				"""simple docstring"""







				inspect_metric(__UpperCamelCase							,						__UpperCamelCase       )
				A__  :	List[str]         =							path + '''.py'''
				assert script_name in os.listdir(__UpperCamelCase       )
				assert "__pycache__" not in os.listdir(__UpperCamelCase       )

@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 				SCREAMING_SNAKE_CASE     (      __UpperCamelCase :						List[Any]							,						__UpperCamelCase :						str							,						__UpperCamelCase :						Dict       ) ->       int:

				"""simple docstring"""







				A__  :	Tuple         =							get_dataset_config_info(__UpperCamelCase							,						config_name=__UpperCamelCase       )
				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 				SCREAMING_SNAKE_CASE     (      __UpperCamelCase :						Tuple							,						__UpperCamelCase :						Tuple							,						__UpperCamelCase :						List[Any]       ) ->       Any:

				"""simple docstring"""







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

@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 				SCREAMING_SNAKE_CASE     (      __UpperCamelCase :						Any							,						__UpperCamelCase :						Dict       ) ->       int:

				"""simple docstring"""







				A__  :	Any         =							get_dataset_config_names(__UpperCamelCase       )
				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 				SCREAMING_SNAKE_CASE     (      __UpperCamelCase :						Union[str, Any]							,						__UpperCamelCase :						int							,						__UpperCamelCase :						Optional[int]       ) ->       Optional[int]:

				"""simple docstring"""







				A__  :	Tuple         =							get_dataset_infos(__UpperCamelCase       )
				assert list(infos.keys()       ) == expected_configs
				A__  :	int         =							expected_configs[0]
				assert expected_config in infos
				A__  :	List[str]         =							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 				SCREAMING_SNAKE_CASE     (      __UpperCamelCase :						Dict							,						__UpperCamelCase :						List[str]							,						__UpperCamelCase :						str       ) ->       Union[str, Any]:

				"""simple docstring"""







				A__  :	Dict         =							get_dataset_infos(__UpperCamelCase       )
				assert expected_config in infos
				A__  :	Any         =							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 				SCREAMING_SNAKE_CASE     (      __UpperCamelCase :						Any							,						__UpperCamelCase :						str							,						__UpperCamelCase :						List[str]       ) ->       Tuple:

				"""simple docstring"""







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

from ...utils import (
    OptionalDependencyNotAvailable,
    is_torch_available,
    is_transformers_available,
    is_transformers_version,
)


try:
					if not (is_transformers_available() and is_torch_available()):
										raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
					from ...utils.dummy_torch_and_transformers_objects import KandinskyPipeline, KandinskyPriorPipeline
else:
					from .pipeline_kandinsky import KandinskyPipeline
					from .pipeline_kandinsky_imgaimg import KandinskyImgaImgPipeline
					from .pipeline_kandinsky_inpaint import KandinskyInpaintPipeline
					from .pipeline_kandinsky_prior import KandinskyPriorPipeline, KandinskyPriorPipelineOutput
					from .text_encoder import MultilingualCLIP