


"""simple docstring"""




import random





def       a_ (	lowercase__ :list,			lowercase__ :Tuple     ):
			__lowerCamelCase     ,__lowerCamelCase     ,__lowerCamelCase          =      [], [], []
			for element in data:
						if element < pivot:
									less.append(lowercase__     )
						elif element > pivot:
									greater.append(lowercase__     )
						else:
									equal.append(lowercase__     )
			return less, equal, greater





def       a_ (	lowercase__ :list,			lowercase__ :int     ):
			# index = len(items) // 2 when trying to find the median
			#   (value of index when items is sorted)

			# invalid input
			if index >= len(lowercase__     ) or index < 0:
						return None

			__lowerCamelCase          =      items[random.randint(0,			len(lowercase__     ) - 1     )]
			__lowerCamelCase          =      0
			__lowerCamelCase     ,__lowerCamelCase     ,__lowerCamelCase          =      _partition(lowercase__,			lowercase__     )
			__lowerCamelCase          =      len(lowercase__     )
			__lowerCamelCase          =      len(lowercase__     )

			# index is the pivot
			if m <= index < m + count:
						return pivot
			# must be in smaller
			elif m > index:
						return quick_select(lowercase__,			lowercase__     )
			# must be in larger
			else:
						return quick_select(lowercase__,			index - (m + count)     )








"""simple docstring"""




import json
import os
import tempfile

from transformers.testing_utils import check_json_file_has_correct_format




class 			__snake_case   :
							__a					 =       None




							def   __a   (     self:    int   ):
										__lowerCamelCase          =      self.feature_extraction_class(**self.feat_extract_dict   )
										__lowerCamelCase          =      json.loads(feat_extract.to_json_string()   )
										for key, value in self.feat_extract_dict.items():
													self.assertEqual(obj[key]     ,							A_   )




							def   __a   (     self:    List[str]   ):
										__lowerCamelCase          =      self.feature_extraction_class(**self.feat_extract_dict   )

										with tempfile.TemporaryDirectory() as tmpdirname:
													__lowerCamelCase          =      os.path.join(A_     ,							"""feat_extract.json"""   )
													feat_extract_first.to_json_file(A_   )
													__lowerCamelCase          =      self.feature_extraction_class.from_json_file(A_   )

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




							def   __a   (     self:    Optional[Any]   ):
										__lowerCamelCase          =      self.feature_extraction_class(**self.feat_extract_dict   )

										with tempfile.TemporaryDirectory() as tmpdirname:
													__lowerCamelCase          =      feat_extract_first.save_pretrained(A_   )[0]
													check_json_file_has_correct_format(A_   )
													__lowerCamelCase          =      self.feature_extraction_class.from_pretrained(A_   )

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




							def   __a   (     self:    List[Any]   ):
										__lowerCamelCase          =      self.feature_extraction_class()
										self.assertIsNotNone(A_   )




