


"""simple docstring"""







import warnings

from ...utils import logging
from .image_processing_donut import DonutImageProcessor


a__				:							List[Any]						=     logging.get_logger(__name__)




class  UpperCamelCase_	( _SCREAMING_SNAKE_CASE):

	"""simple docstring"""





	def __init__( self			:				List[str]			,			*UpperCAmelCase__			:				Union[str, Any]			,			**UpperCAmelCase__			:				Optional[int]   )       ->	None:
						warnings.warn(
						    "The class DonutFeatureExtractor is deprecated and will be removed in version 5 of Transformers. Please"
						    " use DonutImageProcessor instead."			,			A_			,			)
						super().__init__(*A_			,			**A_   )


from unittest import TestCase

from datasets import Dataset
from minhash_deduplication import deduplicate_dataset, make_duplicate_clusters


def       A       (					)   ->  Union[str, Any]:
		'''simple docstring'''

		UpperCamelCase		=     {
		    '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],
		}
		UpperCamelCase		=     Dataset.from_dict(lowercase )
		return dataset


class 				lowercase					(		_SCREAMING_SNAKE_CASE   ):



		def __UpperCamelCase ( self       )  ->					Tuple:
				"""simple docstring"""
				UpperCamelCase		=     get_dataset()
				UpperCamelCase		=     make_duplicate_clusters(A_				,      0.85       )
				self.assertEqual(len(duplicate_clusters[0]       )				,      2       )



		def __UpperCamelCase ( self       )  ->					Any:
				"""simple docstring"""
				UpperCamelCase		=     get_dataset()
				UpperCamelCase	,  UpperCamelCase		=     deduplicate_dataset(A_       )
				self.assertEqual(len(A_       )				,      2       )
				print(A_       )
				self.assertEqual(duplicate_clusters[0][0]['copies']				,      2       )
				self.assertEqual(duplicate_clusters[0][0]['is_extreme']				,      A_       )
