



import pytest

from datasets import Dataset, DatasetDict, Features, NamedSplit, Value
from datasets.io.text import TextDatasetReader

from ..utils import assert_arrow_memory_doesnt_increase, assert_arrow_memory_increases

def      __lowercase(						UpperCAmelCase__ , UpperCAmelCase__			):


      """simple docstring"""



      assert isinstance(_UpperCAmelCase , _UpperCAmelCase			)
      assert dataset.num_rows == 4
      assert dataset.num_columns == 1
      assert dataset.column_names == ["text"]
      for feature, expected_dtype in expected_features.items():
            assert dataset.features[feature].dtype == expected_dtype

@pytest.mark.parametrize("keep_in_memory" , [False, True]			)
def      __lowercase(						UpperCAmelCase__ , UpperCAmelCase__ , UpperCAmelCase__			):


      """simple docstring"""



      lowerCamelCase             =		tmp_path / "cache"
      lowerCamelCase             =		{"text": "string"}
      with assert_arrow_memory_increases() if keep_in_memory else assert_arrow_memory_doesnt_increase():
            lowerCamelCase             =		TextDatasetReader(_UpperCAmelCase , cache_dir=_UpperCAmelCase , keep_in_memory=_UpperCAmelCase			).read()
      _check_text_dataset(_UpperCAmelCase , _UpperCAmelCase			)

@pytest.mark.parametrize(
    "features" , [
        None,
        {"text": "string"},
        {"text": "int32"},
        {"text": "float32"},
    ] , )
def      __lowercase(						UpperCAmelCase__ , UpperCAmelCase__ , UpperCAmelCase__			):


      """simple docstring"""



      lowerCamelCase             =		tmp_path / "cache"
      lowerCamelCase             =		{"text": "string"}
      lowerCamelCase             =		features.copy() if features else default_expected_features
      lowerCamelCase             =		(
          Features({feature: Value(_UpperCAmelCase			) for feature, dtype in features.items()}			) if features is not None else None
      )
      lowerCamelCase             =		TextDatasetReader(_UpperCAmelCase , features=_UpperCAmelCase , cache_dir=_UpperCAmelCase			).read()
      _check_text_dataset(_UpperCAmelCase , _UpperCAmelCase			)

@pytest.mark.parametrize("split" , [None, NamedSplit("train"			), "train", "test"]			)
def      __lowercase(						UpperCAmelCase__ , UpperCAmelCase__ , UpperCAmelCase__			):


      """simple docstring"""



      lowerCamelCase             =		tmp_path / "cache"
      lowerCamelCase             =		{"text": "string"}
      lowerCamelCase             =		TextDatasetReader(_UpperCAmelCase , cache_dir=_UpperCAmelCase , split=_UpperCAmelCase			).read()
      _check_text_dataset(_UpperCAmelCase , _UpperCAmelCase			)
      assert dataset.split == split if split else "train"

@pytest.mark.parametrize("path_type" , [str, list]			)
def      __lowercase(						UpperCAmelCase__ , UpperCAmelCase__ , UpperCAmelCase__			):


      """simple docstring"""



      if issubclass(_UpperCAmelCase , _UpperCAmelCase			):
            lowerCamelCase             =		text_path
      elif issubclass(_UpperCAmelCase , _UpperCAmelCase			):
            lowerCamelCase             =		[text_path]
      lowerCamelCase             =		tmp_path / "cache"
      lowerCamelCase             =		{"text": "string"}
      lowerCamelCase             =		TextDatasetReader(_UpperCAmelCase , cache_dir=_UpperCAmelCase			).read()
      _check_text_dataset(_UpperCAmelCase , _UpperCAmelCase			)

def      __lowercase(						UpperCAmelCase__ , UpperCAmelCase__ , UpperCAmelCase__=("train",)			):


      """simple docstring"""



      assert isinstance(_UpperCAmelCase , _UpperCAmelCase			)
      for split in splits:
            lowerCamelCase             =		dataset_dict[split]
            assert dataset.num_rows == 4
            assert dataset.num_columns == 1
            assert dataset.column_names == ["text"]
            for feature, expected_dtype in expected_features.items():
                  assert dataset.features[feature].dtype == expected_dtype

@pytest.mark.parametrize("keep_in_memory" , [False, True]			)
def      __lowercase(						UpperCAmelCase__ , UpperCAmelCase__ , UpperCAmelCase__			):


      """simple docstring"""



      lowerCamelCase             =		tmp_path / "cache"
      lowerCamelCase             =		{"text": "string"}
      with assert_arrow_memory_increases() if keep_in_memory else assert_arrow_memory_doesnt_increase():
            lowerCamelCase             =		TextDatasetReader({"train": text_path} , cache_dir=_UpperCAmelCase , keep_in_memory=_UpperCAmelCase			).read()
      _check_text_datasetdict(_UpperCAmelCase , _UpperCAmelCase			)

@pytest.mark.parametrize(
    "features" , [
        None,
        {"text": "string"},
        {"text": "int32"},
        {"text": "float32"},
    ] , )
def      __lowercase(						UpperCAmelCase__ , UpperCAmelCase__ , UpperCAmelCase__			):


      """simple docstring"""



      lowerCamelCase             =		tmp_path / "cache"
      # CSV file loses col_1 string dtype information: default now is "int64" instead of "string"
      lowerCamelCase             =		{"text": "string"}
      lowerCamelCase             =		features.copy() if features else default_expected_features
      lowerCamelCase             =		(
          Features({feature: Value(_UpperCAmelCase			) for feature, dtype in features.items()}			) if features is not None else None
      )
      lowerCamelCase             =		TextDatasetReader({"train": text_path} , features=_UpperCAmelCase , cache_dir=_UpperCAmelCase			).read()
      _check_text_datasetdict(_UpperCAmelCase , _UpperCAmelCase			)






@pytest.mark.parametrize("split" , [None, NamedSplit("train"			), "train", "test"]			)
def      __lowercase(						UpperCAmelCase__ , UpperCAmelCase__ , UpperCAmelCase__			):


      """simple docstring"""



      if split:
            lowerCamelCase             =		{split: text_path}
      else:
            lowerCamelCase             =		"train"
            lowerCamelCase             =		{"train": text_path, "test": text_path}
      lowerCamelCase             =		tmp_path / "cache"
      lowerCamelCase             =		{"text": "string"}
      lowerCamelCase             =		TextDatasetReader(_UpperCAmelCase , cache_dir=_UpperCAmelCase			).read()
      _check_text_datasetdict(_UpperCAmelCase , _UpperCAmelCase , splits=list(path.keys()			)			)
      assert all(dataset[split].split == split for split in path.keys()			)






"""simple docstring"""
from ...configuration_utils import PretrainedConfig
from ...utils import logging


__UpperCamelCase     :						List[str]						       =  logging.get_logger(__name__)

__UpperCamelCase     :						Tuple						       =  {
    '''vinvino02/glpn-kitti''': '''https://huggingface.co/vinvino02/glpn-kitti/resolve/main/config.json''',
    # See all GLPN models at https://huggingface.co/models?filter=glpn
}







class       a							(   a__  ):
 snake_case__             =       '''glpn'''



 def __init__(     self				,       _snake_case=3				,       _snake_case=4				,       _snake_case=[2, 2, 2, 2]				,       _snake_case=[8, 4, 2, 1]				,       _snake_case=[32, 64, 1_60, 2_56]				,       _snake_case=[7, 3, 3, 3]				,       _snake_case=[4, 2, 2, 2]				,       _snake_case=[1, 2, 5, 8]				,       _snake_case=[4, 4, 4, 4]				,       _snake_case="gelu"				,       _snake_case=0.0				,       _snake_case=0.0				,       _snake_case=0.02				,       _snake_case=0.1				,       _snake_case=1E-6				,       _snake_case=64				,       _snake_case=10				,       _snake_case=-1				,       **_snake_case				,       ):







  """simple docstring"""






  super().__init__(**_snake_case     )

  lowerCAmelCase    				= num_channels
  lowerCAmelCase    				= num_encoder_blocks
  lowerCAmelCase    				= depths
  lowerCAmelCase    				= sr_ratios
  lowerCAmelCase    				= hidden_sizes
  lowerCAmelCase    				= patch_sizes
  lowerCAmelCase    				= strides
  lowerCAmelCase    				= mlp_ratios
  lowerCAmelCase    				= num_attention_heads
  lowerCAmelCase    				= hidden_act
  lowerCAmelCase    				= hidden_dropout_prob
  lowerCAmelCase    				= attention_probs_dropout_prob
  lowerCAmelCase    				= initializer_range
  lowerCAmelCase    				= drop_path_rate
  lowerCAmelCase    				= layer_norm_eps
  lowerCAmelCase    				= decoder_hidden_size
  lowerCAmelCase    				= max_depth
  lowerCAmelCase    				= head_in_index





