




"""simple docstring"""
from unittest import TestCase

from datasets import Dataset
from minhash_deduplication import deduplicate_dataset, make_duplicate_clusters

def        snake_case   (     ):
			UpperCAmelCase_  :				Optional[int]      =      {
			    '''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_  :				Optional[int]      =      Dataset.from_dict(a_		)
			return dataset







class     UpperCamelCase_ (_UpperCAmelCase  ):





	def   _SCREAMING_SNAKE_CASE   (   self      :				Tuple		)		->    Union[str, Any]:
				UpperCAmelCase_  :				Any      =      get_dataset()
				UpperCAmelCase_  :				int      =      make_duplicate_clusters(lowerCamelCase_			,			0.8_5		)
				self.assertEqual(len(duplicate_clusters[0]		)			,			2		)





	def   _SCREAMING_SNAKE_CASE   (   self      :				List[str]		)		->    str:
				UpperCAmelCase_  :				List[Any]      =      get_dataset()
				UpperCAmelCase_  :				Optional[Any]      =      deduplicate_dataset(lowerCamelCase_		)
				self.assertEqual(len(lowerCamelCase_		)			,			2		)
				print(lowerCamelCase_		)
				self.assertEqual(duplicate_clusters[0][0]["copies"]			,			2		)
				self.assertEqual(duplicate_clusters[0][0]["is_extreme"]			,			lowerCamelCase_		)











"""simple docstring"""
import json
import os
import tempfile

from transformers.testing_utils import check_json_file_has_correct_format







class     UpperCamelCase_ :
	__magic_name__			   =       None





	def   _SCREAMING_SNAKE_CASE   (   self      :				Any		)		->    List[Any]:
				UpperCAmelCase_  :				Tuple      =      self.feature_extraction_class(**self.feat_extract_dict		)
				UpperCAmelCase_  :				Union[str, Any]      =      json.loads(feat_extract.to_json_string()		)
				for key, value in self.feat_extract_dict.items():
							self.assertEqual(obj[key]			,			lowerCAmelCase_		)





	def   _SCREAMING_SNAKE_CASE   (   self      :				str		)		->    int:
				UpperCAmelCase_  :				Dict      =      self.feature_extraction_class(**self.feat_extract_dict		)

				with tempfile.TemporaryDirectory() as tmpdirname:
							UpperCAmelCase_  :				List[Any]      =      os.path.join(lowerCAmelCase_			,			"feat_extract.json"		)
							feat_extract_first.to_json_file(lowerCAmelCase_		)
							UpperCAmelCase_  :				Any      =      self.feature_extraction_class.from_json_file(lowerCAmelCase_		)

				self.assertEqual(feat_extract_second.to_dict()			,			feat_extract_first.to_dict()		)





	def   _SCREAMING_SNAKE_CASE   (   self      :				int		)		->    Dict:
				UpperCAmelCase_  :				Optional[Any]      =      self.feature_extraction_class(**self.feat_extract_dict		)

				with tempfile.TemporaryDirectory() as tmpdirname:
							UpperCAmelCase_  :				Optional[Any]      =      feat_extract_first.save_pretrained(lowerCAmelCase_		)[0]
							check_json_file_has_correct_format(lowerCAmelCase_		)
							UpperCAmelCase_  :				Any      =      self.feature_extraction_class.from_pretrained(lowerCAmelCase_		)

				self.assertEqual(feat_extract_second.to_dict()			,			feat_extract_first.to_dict()		)





	def   _SCREAMING_SNAKE_CASE   (   self      :				Any		)		->    Optional[Any]:
				UpperCAmelCase_  :				Optional[int]      =      self.feature_extraction_class()
				self.assertIsNotNone(lowerCAmelCase_		)



