




'''simple docstring'''




def 	__UpperCAmelCase       ( __magic_name__     ,__magic_name__						)->    str:



			"""simple docstring"""



			snake_case_				:					list[list[str]]   =       [[] for _ in range(__magic_name__						)]
			snake_case_				:					Dict   =       key - 1

			if key <= 0:
						raise ValueError("Height of grid can\'t be 0 or negative"						)
			if key == 1 or len(__magic_name__						) <= key:
						return input_string

			for position, character in enumerate(__magic_name__						):
						snake_case_				:					Dict   =       position % (lowest * 2)  # puts it in bounds
						snake_case_				:					int   =       min(__magic_name__     ,lowest * 2 - num						)  # creates zigzag pattern
						temp_grid[num].append(__magic_name__						)
			snake_case_				:					List[str]   =       [''.join(__magic_name__						) for row in temp_grid]
			snake_case_				:					Optional[int]   =       ''.join(__magic_name__						)

			return output_string

def 	__UpperCAmelCase       ( __magic_name__     ,__magic_name__						)->    str:



			"""simple docstring"""



			snake_case_				:					List[Any]   =       []
			snake_case_				:					List[str]   =       key - 1

			if key <= 0:
						raise ValueError("Height of grid can\'t be 0 or negative"						)
			if key == 1:
						return input_string

			snake_case_				:					list[list[str]]   =       [[] for _ in range(__magic_name__						)]  # generates template
			for position in range(len(__magic_name__						)						):
						snake_case_				:					Tuple   =       position % (lowest * 2)  # puts it in bounds
						snake_case_				:					str   =       min(__magic_name__     ,lowest * 2 - num						)  # creates zigzag pattern
						temp_grid[num].append("*"						)

			snake_case_				:					List[Any]   =       0
			for row in temp_grid:  # fills in the characters
						snake_case_				:					List[str]   =       input_string[counter : counter + len(__magic_name__						)]
						grid.append(list(__magic_name__						)						)
						counter += len(__magic_name__						)

			snake_case_				:					Tuple   =       ''  # reads as zigzag
			for position in range(len(__magic_name__						)						):
						snake_case_				:					int   =       position % (lowest * 2)  # puts it in bounds
						snake_case_				:					str   =       min(__magic_name__     ,lowest * 2 - num						)  # creates zigzag pattern
						output_string += grid[num][0]
						grid[num].pop(0						)
			return output_string

def 	__UpperCAmelCase       ( __magic_name__						)->    dict[int, str]:



			"""simple docstring"""



			snake_case_				:					Tuple   =       {}
			for key_guess in range(1     ,len(__magic_name__						)						):  # tries every key
						snake_case_				:					str   =       decrypt(__magic_name__     ,__magic_name__						)
			return results


if __name__ == "__main__":
		import doctest

		doctest.testmod()












'''simple docstring'''




from unittest import TestCase

from datasets import Dataset
from minhash_deduplication import deduplicate_dataset, make_duplicate_clusters

def 	__UpperCAmelCase       ( )->    int:



			"""simple docstring"""



			snake_case_				:					Any   =       {
			    "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],
			}
			snake_case_				:					int   =       Dataset.from_dict(__magic_name__						)
			return dataset







class    A_	(a_							):
							"""simple docstring"""




							def 							_A	(		self			:List[str]				)				->  str:


										'''simple docstring'''




										snake_case_				:					Union[str, Any]   =       get_dataset()
										snake_case_				:					Optional[int]   =       make_duplicate_clusters(lowerCAmelCase__       ,							0.8_5				)
										self.assertEqual(len(duplicate_clusters[0]				)       ,							2				)






							def 							_A	(		self			:Union[str, Any]				)				->  List[str]:


										'''simple docstring'''




										snake_case_				:					Optional[int]   =       get_dataset()
										snake_case_,	snake_case_				:					List[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__				)




