"""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,
)


UpperCAmelCase__  		=						pytest.mark.integration






@pytest.mark.parametrize("""path"""   ,["""paws""", """csv"""]		)
def     __UpperCAmelCase					(			lowercase   ,lowercase		):







  """simple docstring"""
  inspect_dataset(lowercase   ,lowercase		)
  _UpperCAmelCase						 =      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					(			lowercase   ,lowercase		):







  """simple docstring"""
  inspect_metric(lowercase   ,lowercase		)
  _UpperCAmelCase						 =      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					(			lowercase   ,lowercase   ,lowercase		):







  """simple docstring"""
  _UpperCAmelCase						 =      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					(			lowercase   ,lowercase   ,lowercase		):







  """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					(			lowercase   ,lowercase		):







  """simple docstring"""
  _UpperCAmelCase						 =      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					(			lowercase   ,lowercase   ,lowercase		):







  """simple docstring"""
  _UpperCAmelCase						 =      get_dataset_infos(lowercase		)
  assert list(infos.keys()		) == expected_configs
  _UpperCAmelCase						 =      expected_configs[0]
  assert expected_config in infos
  _UpperCAmelCase						 =      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					(			lowercase   ,lowercase   ,lowercase		):







  """simple docstring"""
  _UpperCAmelCase						 =      get_dataset_infos(lowercase		)
  assert expected_config in infos
  _UpperCAmelCase						 =      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					(			lowercase   ,lowercase   ,lowercase		):







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

"""simple docstring"""


from ...configuration_utils import PretrainedConfig
from ...utils import logging
from ...utils.backbone_utils import BackboneConfigMixin, get_aligned_output_features_output_indices


UpperCAmelCase__  		=						logging.get_logger(__name__)

UpperCAmelCase__  		=						{
    """shi-labs/nat-mini-in1k-224""": """https://huggingface.co/shi-labs/nat-mini-in1k-224/resolve/main/config.json""",
    # See all Nat models at https://huggingface.co/models?filter=nat
}


class        a				(		lowerCAmelCase_	,							lowerCAmelCase_   ):
    _snake_case     :  Union[str, Any]     							=							'nat'

    _snake_case     :  List[str]     							=							{
        'num_attention_heads': 'num_heads',
        'num_hidden_layers': 'num_layers',
    }


    def __init__(					self	:  List[Any]   ,				__lowerCAmelCase	:  int=4   ,				__lowerCAmelCase	:  Union[str, Any]=3   ,				__lowerCAmelCase	:  Dict=64   ,				__lowerCAmelCase	:  int=[3, 4, 6, 5]   ,				__lowerCAmelCase	:  List[str]=[2, 4, 8, 16]   ,				__lowerCAmelCase	:  Tuple=7   ,				__lowerCAmelCase	:  List[str]=3.0   ,				__lowerCAmelCase	:  int=True   ,				__lowerCAmelCase	:  int=0.0   ,				__lowerCAmelCase	:  Tuple=0.0   ,				__lowerCAmelCase	:  Any=0.1   ,				__lowerCAmelCase	:  List[str]="gelu"   ,				__lowerCAmelCase	:  List[Any]=0.02   ,				__lowerCAmelCase	:  Union[str, Any]=1e-5   ,				__lowerCAmelCase	:  List[Any]=0.0   ,				__lowerCAmelCase	:  Tuple=None   ,				__lowerCAmelCase	:  Optional[int]=None   ,				**__lowerCAmelCase	:  Optional[Any]   ,				):
      super().__init__(**__lowerCAmelCase					)

      _UpperCAmelCase						 =      patch_size
      _UpperCAmelCase						 =      num_channels
      _UpperCAmelCase						 =      embed_dim
      _UpperCAmelCase						 =      depths
      _UpperCAmelCase						 =      len(__lowerCAmelCase					)
      _UpperCAmelCase						 =      num_heads
      _UpperCAmelCase						 =      kernel_size
      _UpperCAmelCase						 =      mlp_ratio
      _UpperCAmelCase						 =      qkv_bias
      _UpperCAmelCase						 =      hidden_dropout_prob
      _UpperCAmelCase						 =      attention_probs_dropout_prob
      _UpperCAmelCase						 =      drop_path_rate
      _UpperCAmelCase						 =      hidden_act
      _UpperCAmelCase						 =      layer_norm_eps
      _UpperCAmelCase						 =      initializer_range
      # we set the hidden_size attribute in order to make Nat work with VisionEncoderDecoderModel
      # this indicates the channel dimension after the last stage of the model
      _UpperCAmelCase						 =      int(embed_dim * 2 ** (len(__lowerCAmelCase					) - 1)					)
      _UpperCAmelCase						 =      layer_scale_init_value
      _UpperCAmelCase						 =      ["""stem"""] + [f'''stage{idx}''' for idx in range(1   ,				len(__lowerCAmelCase					) + 1					)]
      _UpperCAmelCase ,				_UpperCAmelCase						 =      get_aligned_output_features_output_indices(
          out_features=__lowerCAmelCase   ,				out_indices=__lowerCAmelCase   ,				stage_names=self.stage_names					)
