




from unittest import TestCase

from datasets import Dataset
from minhash_deduplication import deduplicate_dataset, make_duplicate_clusters







def SCREAMING_SNAKE_CASE       ( )     -> Tuple:



       """simple docstring"""

       A__   				=					{
           '''repo_name''': ['''test_repo1''', '''test_repo2''', '''test_repo3'''],
           '''path''': ['''test_1.py''', '''test_2.py''', '''unit_test.py'''],
           '''content''': ['''a ''' * 20, '''a ''' * 30, '''b ''' * 7],
       }
       A__   				=					Dataset.from_dict(lowercase_		)
       return dataset


class        UpperCamelCase_					(				UpperCAmelCase__  ):

    '''simple docstring'''






    def  SCREAMING_SNAKE_CASE							(    self   :			Any)		->List[str]:





           '''simple docstring'''

           A__   				=					get_dataset()
           A__   				=					make_duplicate_clusters(UpperCAmelCase__      ,				0.85)
           self.assertEqual(len(duplicate_clusters[0])      ,				2)





    def  SCREAMING_SNAKE_CASE							(    self   :			Optional[Any])		->List[Any]:





           '''simple docstring'''

           A__   				=					get_dataset()
           A__				,							A__   				=					deduplicate_dataset(UpperCAmelCase__)
           self.assertEqual(len(UpperCAmelCase__)      ,				2)
           print(UpperCAmelCase__)
           self.assertEqual(duplicate_clusters[0][0]['''copies''']      ,				2)
           self.assertEqual(duplicate_clusters[0][0]['''is_extreme''']      ,				UpperCAmelCase__)








from typing import TYPE_CHECKING

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


_lowerCamelCase			:	Union[str, Any]							 =     {"""configuration_dpt""": ["""DPT_PRETRAINED_CONFIG_ARCHIVE_MAP""", """DPTConfig"""]}

try:
  if not is_vision_available():
    raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
  pass
else:
  _lowerCamelCase			:	Optional[Any]							 =     ["""DPTFeatureExtractor"""]
  _lowerCamelCase			:	int							 =     ["""DPTImageProcessor"""]

try:
  if not is_torch_available():
    raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
  pass
else:
  _lowerCamelCase			:	Optional[int]							 =     [
      """DPT_PRETRAINED_MODEL_ARCHIVE_LIST""",
      """DPTForDepthEstimation""",
      """DPTForSemanticSegmentation""",
      """DPTModel""",
      """DPTPreTrainedModel""",
  ]


if TYPE_CHECKING:
  from .configuration_dpt import DPT_PRETRAINED_CONFIG_ARCHIVE_MAP, DPTConfig

  try:
    if not is_vision_available():
      raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
    pass
  else:
    from .feature_extraction_dpt import DPTFeatureExtractor
    from .image_processing_dpt import DPTImageProcessor

  try:
    if not is_torch_available():
      raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
    pass
  else:
    from .modeling_dpt import (
        DPT_PRETRAINED_MODEL_ARCHIVE_LIST,
        DPTForDepthEstimation,
        DPTForSemanticSegmentation,
        DPTModel,
        DPTPreTrainedModel,
    )


else:
  import sys

  _lowerCamelCase			:	Any							 =     _LazyModule(__name__, globals()["""__file__"""], _import_structure, module_spec=__spec__)


