




'''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,
)


a_ :						Union[str, Any]				 =			pytest.mark.integration





@pytest.mark.parametrize('''path'''  ,			['''paws''', '''csv''']  )
def 	a_				( __snake_case				:     Dict  ,			__snake_case				:     Dict  )				->		Dict:



       """simple docstring"""
       inspect_dataset(lowerCAmelCase__  ,			lowerCAmelCase__  )
       lowerCamelCase_				=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 	a_				( __snake_case				:     str  ,			__snake_case				:     Optional[int]  )				->		Union[str, Any]:



       """simple docstring"""
       inspect_metric(lowerCAmelCase__  ,			lowerCAmelCase__  )
       lowerCamelCase_				=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 	a_				( __snake_case				:     Dict  ,			__snake_case				:     List[str]  ,			__snake_case				:     Optional[int]  )				->		int:



       """simple docstring"""
       lowerCamelCase_				=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 	a_				( __snake_case				:     Union[str, Any]  ,			__snake_case				:     List[str]  ,			__snake_case				:     Dict  )				->		int:



       """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 	a_				( __snake_case				:     Tuple  ,			__snake_case				:     Dict  )				->		Dict:



       """simple docstring"""
       lowerCamelCase_				=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 	a_				( __snake_case				:     Optional[int]  ,			__snake_case				:     Optional[int]  ,			__snake_case				:     Dict  )				->		Optional[int]:



       """simple docstring"""
       lowerCamelCase_				=get_dataset_infos(lowerCAmelCase__  )
       assert list(infos.keys()  ) == expected_configs
       lowerCamelCase_				=expected_configs[0]
       assert expected_config in infos
       lowerCamelCase_				=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 	a_				( __snake_case				:     int  ,			__snake_case				:     List[Any]  ,			__snake_case				:     List[str]  )				->		Tuple:



       """simple docstring"""
       lowerCamelCase_				=get_dataset_infos(lowerCAmelCase__  )
       assert expected_config in infos
       lowerCamelCase_				=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 	a_				( __snake_case				:     Tuple  ,			__snake_case				:     List[str]  ,			__snake_case				:     Tuple  )				->		Dict:



       """simple docstring"""
       with pytest.raises(lowerCAmelCase__  ):
              get_dataset_split_names(lowerCAmelCase__  ,			config_name=lowerCAmelCase__  )











"""simple docstring"""






from typing import TYPE_CHECKING

# rely on isort to merge the imports
from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


__UpperCAmelCase						=			{
    '''configuration_informer''': [
        '''INFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP''',
        '''InformerConfig''',
    ],
}

try:
		if not is_torch_available():
				raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
		pass
else:
		__UpperCAmelCase						=			[
		    '''INFORMER_PRETRAINED_MODEL_ARCHIVE_LIST''',
		    '''InformerForPrediction''',
		    '''InformerModel''',
		    '''InformerPreTrainedModel''',
		]


if TYPE_CHECKING:
		from .configuration_informer import INFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP, InformerConfig

		try:
				if not is_torch_available():
						raise OptionalDependencyNotAvailable()
		except OptionalDependencyNotAvailable:
				pass
		else:
				from .modeling_informer import (
				    INFORMER_PRETRAINED_MODEL_ARCHIVE_LIST,
				    InformerForPrediction,
				    InformerModel,
				    InformerPreTrainedModel,
				)

else:
		import sys

		__UpperCAmelCase						=			_LazyModule(__name__, globals()['''__file__'''], _import_structure, module_spec=__spec__)