

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   :     List[str]    							=     pytest.mark.integration






@pytest.mark.parametrize('path'			,	['paws', 'csv']      )
def 			UpperCamelCase_(				_snake_case  :    Tuple			,	_snake_case  :    str      ):




			"""simple docstring"""






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






@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 			UpperCamelCase_(				_snake_case  :    List[Any]			,	_snake_case  :    Union[str, Any]      ):




			"""simple docstring"""






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






@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 			UpperCamelCase_(				_snake_case  :    Optional[int]			,	_snake_case  :    str			,	_snake_case  :    Union[str, Any]      ):




			"""simple docstring"""






			__a     =get_dataset_config_info(lowercase_			,	config_name=lowercase_      )
			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 			UpperCamelCase_(				_snake_case  :    List[Any]			,	_snake_case  :    int			,	_snake_case  :    Optional[int]      ):




			"""simple docstring"""






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






@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 			UpperCamelCase_(				_snake_case  :    List[Any]			,	_snake_case  :    str      ):




			"""simple docstring"""






			__a     =get_dataset_config_names(lowercase_      )
			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 			UpperCamelCase_(				_snake_case  :    Union[str, Any]			,	_snake_case  :    List[Any]			,	_snake_case  :    Any      ):




			"""simple docstring"""






			__a     =get_dataset_infos(lowercase_      )
			assert list(infos.keys()      ) == expected_configs
			__a     =expected_configs[0]
			assert expected_config in infos
			__a     =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 			UpperCamelCase_(				_snake_case  :    int			,	_snake_case  :    List[str]			,	_snake_case  :    str      ):




			"""simple docstring"""






			__a     =get_dataset_infos(lowercase_      )
			assert expected_config in infos
			__a     =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 			UpperCamelCase_(				_snake_case  :    Optional[int]			,	_snake_case  :    Dict			,	_snake_case  :    str      ):




			"""simple docstring"""






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













"""simple docstring"""


from typing import TYPE_CHECKING

from ...utils import (
    OptionalDependencyNotAvailable,
    _LazyModule,
    is_flax_available,
    is_tf_available,
    is_torch_available,
)


lowerCamelCase__						= {
    "configuration_resnet": ["RESNET_PRETRAINED_CONFIG_ARCHIVE_MAP", "ResNetConfig", "ResNetOnnxConfig"]
}

try:
  if not is_torch_available():
    raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
  pass
else:
  lowerCamelCase__						= [
      "RESNET_PRETRAINED_MODEL_ARCHIVE_LIST",
      "ResNetForImageClassification",
      "ResNetModel",
      "ResNetPreTrainedModel",
      "ResNetBackbone",
  ]

try:
  if not is_tf_available():
    raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
  pass
else:
  lowerCamelCase__						= [
      "TF_RESNET_PRETRAINED_MODEL_ARCHIVE_LIST",
      "TFResNetForImageClassification",
      "TFResNetModel",
      "TFResNetPreTrainedModel",
  ]

try:
  if not is_flax_available():
    raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
  pass
else:
  lowerCamelCase__						= [
      "FlaxResNetForImageClassification",
      "FlaxResNetModel",
      "FlaxResNetPreTrainedModel",
  ]

if TYPE_CHECKING:
  from .configuration_resnet import RESNET_PRETRAINED_CONFIG_ARCHIVE_MAP, ResNetConfig, ResNetOnnxConfig

  try:
    if not is_torch_available():
      raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
    pass
  else:
    from .modeling_resnet import (
        RESNET_PRETRAINED_MODEL_ARCHIVE_LIST,
        ResNetBackbone,
        ResNetForImageClassification,
        ResNetModel,
        ResNetPreTrainedModel,
    )

  try:
    if not is_tf_available():
      raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
    pass
  else:
    from .modeling_tf_resnet import (
        TF_RESNET_PRETRAINED_MODEL_ARCHIVE_LIST,
        TFResNetForImageClassification,
        TFResNetModel,
        TFResNetPreTrainedModel,
    )

  try:
    if not is_flax_available():
      raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
    pass
  else:
    from .modeling_flax_resnet import FlaxResNetForImageClassification, FlaxResNetModel, FlaxResNetPreTrainedModel


else:
  import sys

  lowerCamelCase__						= _LazyModule(__name__, globals()["__file__"], _import_structure)
