




"""simple docstring"""

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,
)


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

@pytest.mark.parametrize('''path'''  ,      ['''paws''', '''csv''']	)
def 		lowercase_      (		_UpperCAmelCase  ,      _UpperCAmelCase	):




	"""simple docstring"""






	inspect_dataset(_UpperCAmelCase  ,      _UpperCAmelCase	)
	A_  :				str	   =		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 		lowercase_      (		_UpperCAmelCase  ,      _UpperCAmelCase	):




	"""simple docstring"""






	inspect_metric(_UpperCAmelCase  ,      _UpperCAmelCase	)
	A_  :				Optional[int]	   =		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 		lowercase_      (		_UpperCAmelCase  ,      _UpperCAmelCase  ,      _UpperCAmelCase	):




	"""simple docstring"""






	A_  :				Dict	   =		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 		lowercase_      (		_UpperCAmelCase  ,      _UpperCAmelCase  ,      _UpperCAmelCase	):




	"""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 		lowercase_      (		_UpperCAmelCase  ,      _UpperCAmelCase	):




	"""simple docstring"""






	A_  :				int	   =		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 		lowercase_      (		_UpperCAmelCase  ,      _UpperCAmelCase  ,      _UpperCAmelCase	):




	"""simple docstring"""






	A_  :				str	   =		get_dataset_infos(_UpperCAmelCase	)
	assert list(infos.keys()	) == expected_configs
	A_  :				Tuple	   =		expected_configs[0]
	assert expected_config in infos
	A_  :				Optional[Any]	   =		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 		lowercase_      (		_UpperCAmelCase  ,      _UpperCAmelCase  ,      _UpperCAmelCase	):




	"""simple docstring"""






	A_  :				Tuple	   =		get_dataset_infos(_UpperCAmelCase	)
	assert expected_config in infos
	A_  :				Optional[int]	   =		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 		lowercase_      (		_UpperCAmelCase  ,      _UpperCAmelCase  ,      _UpperCAmelCase	):




	"""simple docstring"""






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











"""simple docstring"""

from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available, is_vision_available


_lowerCamelCase  :			Optional[Any]        =       {
    'configuration_mask2former': [
        'MASK2FORMER_PRETRAINED_CONFIG_ARCHIVE_MAP',
        'Mask2FormerConfig',
    ],
}

try:
		if not is_vision_available():
				raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
		pass
else:
		_lowerCamelCase  :			int        =       ['Mask2FormerImageProcessor']

try:
		if not is_torch_available():
				raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
		pass
else:
		_lowerCamelCase  :			Tuple        =       [
		    'MASK2FORMER_PRETRAINED_MODEL_ARCHIVE_LIST',
		    'Mask2FormerForUniversalSegmentation',
		    'Mask2FormerModel',
		    'Mask2FormerPreTrainedModel',
		]

if TYPE_CHECKING:
		from .configuration_maskaformer import MASK2FORMER_PRETRAINED_CONFIG_ARCHIVE_MAP, MaskaFormerConfig

		try:
				if not is_vision_available():
						raise OptionalDependencyNotAvailable()
		except OptionalDependencyNotAvailable:
				pass
		else:
				from .image_processing_maskaformer import MaskaFormerImageProcessor

		try:
				if not is_torch_available():
						raise OptionalDependencyNotAvailable()
		except OptionalDependencyNotAvailable:
				pass
		else:
				from .modeling_maskaformer import (
				    MASK2FORMER_PRETRAINED_MODEL_ARCHIVE_LIST,
				    MaskaFormerForUniversalSegmentation,
				    MaskaFormerModel,
				    MaskaFormerPreTrainedModel,
				)


else:
		import sys

		_lowerCamelCase  :			Optional[Any]        =       _LazyModule(__name__, globals()['__file__'], _import_structure)





