






import argparse
from collections import defaultdict

def    UpperCamelCase						(	_A,   _A,   _A,   _A,   _A			):






						"""simple docstring"""







						__magic_name__      :       Union[str, Any]       						= f'{file}_{class_name}_{test_name}'
						done_test[_id] += 1

						with open(_A,   """r"""			) as f:
												__magic_name__      :       Optional[Any]       						= f.readlines()

						__magic_name__      :       Union[str, Any]       						= f'class {class_name}('
						__magic_name__      :       Tuple       						= f'{4 * " "}def {test_name}('
						__magic_name__      :       Dict       						= f'{8 * " "}{correct_line.split()[0]}'
						__magic_name__      :       str       						= f'{16 * " "}{correct_line.split()[0]}'
						__magic_name__      :       str       						= False
						__magic_name__      :       Any       						= False
						__magic_name__      :       Any       						= False
						__magic_name__      :       Optional[int]       						= False
						__magic_name__      :       Any       						= 0
						__magic_name__      :       List[Any]       						= 0

						__magic_name__      :       Dict       						= []
						for line in lines:
												if line.startswith(_A			):
																		__magic_name__      :       Union[str, Any]       						= True
												elif in_class and line.startswith(_A			):
																		__magic_name__      :       str       						= True
												elif in_class and in_func and (line.startswith(_A			) or line.startswith(_A			)):
																		__magic_name__      :       Tuple       						= len(line.split(correct_line.split()[0]			)[0]			)
																		count += 1

																		if count == done_test[_id]:
																								__magic_name__      :       Optional[int]       						= True

												if in_class and in_func and in_line:
																		if ")" not in line:
																								continue
																		else:
																								__magic_name__      :       Optional[int]       						= True

												if in_class and in_func and in_line and insert_line:
																		new_lines.append(f'{spaces * " "}{correct_line}'			)
																		__magic_name__      :       Tuple       						= False
												else:
																		new_lines.append(_A			)

						with open(_A,   """w"""			) as f:
												for line in new_lines:
																		f.write(_A			)

def    UpperCamelCase						(	_A,   _A=None			):






						"""simple docstring"""







						if fail is not None:
												with open(_A,   """r"""			) as f:
																		__magic_name__      :       Any       						= {l.strip() for l in f.readlines()}
						else:
												__magic_name__      :       str       						= None

						with open(_A,   """r"""			) as f:
												__magic_name__      :       Dict       						= f.readlines()

						__magic_name__      :       Any       						= defaultdict(_A			)
						for line in correct_lines:
												__magic_name__						,__magic_name__						,__magic_name__						,__magic_name__      :       Dict       						= line.split(""";"""			)
												if test_failures is None or "::".join([file, class_name, test_name]			) in test_failures:
																		overwrite_file(_A,   _A,   _A,   _A,   _A			)


if __name__ == "__main__":
		__magic_name__:					Optional[Any]							=     argparse.ArgumentParser()
		parser.add_argument("--correct_filename", help="filename of tests with expected result")
		parser.add_argument("--fail_filename", help="filename of test failures", type=str, default=None)
		__magic_name__:					str							=     parser.parse_args()

		main(args.correct_filename, args.fail_filename)








from __future__ import annotations

import math

import numpy as np
from numpy.linalg import norm

def    UpperCamelCase						(	_A,   _A			):






						"""simple docstring"""







						return math.sqrt(sum(pow(a - b,   2			) for a, b in zip(_A,   _A			)			)			)

def    UpperCamelCase						(	_A,   _A			):






						"""simple docstring"""







						if dataset.ndim != value_array.ndim:
												__magic_name__      :       str       						= (
												    """Wrong input data's dimensions... """
												    f'dataset : {dataset.ndim}, value_array : {value_array.ndim}'
												)
												raise ValueError(_A			)

						try:
												if dataset.shape[1] != value_array.shape[1]:
																		__magic_name__      :       Optional[Any]       						= (
																		    """Wrong input data's shape... """
																		    f'dataset : {dataset.shape[1]}, value_array : {value_array.shape[1]}'
																		)
																		raise ValueError(_A			)
						except IndexError:
												if dataset.ndim != value_array.ndim:
																		raise TypeError("""Wrong shape"""			)

						if dataset.dtype != value_array.dtype:
												__magic_name__      :       List[Any]       						= (
												    """Input data have different datatype... """
												    f'dataset : {dataset.dtype}, value_array : {value_array.dtype}'
												)
												raise TypeError(_A			)

						__magic_name__      :       Dict       						= []

						for value in value_array:
												__magic_name__      :       Tuple       						= euclidean(_A,   dataset[0]			)
												__magic_name__      :       Any       						= dataset[0].tolist()

												for dataset_value in dataset[1:]:
																		__magic_name__      :       Any       						= euclidean(_A,   _A			)

																		if dist > temp_dist:
																								__magic_name__      :       Dict       						= temp_dist
																								__magic_name__      :       Any       						= dataset_value.tolist()

												answer.append([vector, dist]			)

						return answer

def    UpperCamelCase						(	_A,   _A			):






						"""simple docstring"""







						return np.dot(_A,   _A			) / (norm(_A			) * norm(_A			))


if __name__ == "__main__":
		import doctest

		doctest.testmod()
