"""simple docstring"""




from __future__ import annotations

import math

import numpy as np
from numpy.linalg import norm






def   UpperCAmelCase					(	UpperCamelCase__       ,    UpperCamelCase__				):






							"""simple docstring"""





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






def   UpperCAmelCase					(	UpperCamelCase__       ,    UpperCamelCase__				):






							"""simple docstring"""





							if dataset.ndim != value_array.ndim:
														A__	     =							(
														    'Wrong input data\'s dimensions... '
														    F'''dataset : {dataset.ndim}, value_array : {value_array.ndim}'''
														)
														raise ValueError(UpperCamelCase__				)

							try:
														if dataset.shape[1] != value_array.shape[1]:
																					A__	     =							(
																					    'Wrong input data\'s shape... '
																					    F'''dataset : {dataset.shape[1]}, value_array : {value_array.shape[1]}'''
																					)
																					raise ValueError(UpperCamelCase__				)
							except IndexError:
														if dataset.ndim != value_array.ndim:
																					raise TypeError('Wrong shape'				)

							if dataset.dtype != value_array.dtype:
														A__	     =							(
														    'Input data have different datatype... '
														    F'''dataset : {dataset.dtype}, value_array : {value_array.dtype}'''
														)
														raise TypeError(UpperCamelCase__				)

							A__	     =							[]

							for value in value_array:
														A__	     =							euclidean(UpperCamelCase__       ,    dataset[0]				)
														A__	     =							dataset[0].tolist()

														for dataset_value in dataset[1:]:
																					A__	     =							euclidean(UpperCamelCase__       ,    UpperCamelCase__				)

																					if dist > temp_dist:
																												A__	     =							temp_dist
																												A__	     =							dataset_value.tolist()

														answer.append([vector, dist]				)

							return answer






def   UpperCAmelCase					(	UpperCamelCase__       ,    UpperCamelCase__				):






							"""simple docstring"""





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


if __name__ == "__main__":
				import doctest

				doctest.testmod()






"""simple docstring"""




import os


# All paths are set with the intent you should run this script from the root of the repo with the command
# python utils/check_doctest_list.py
__lowerCamelCase											=  "."


if __name__ == "__main__":
				__lowerCamelCase											=  os.path.join(REPO_PATH, "utils/documentation_tests.txt")
				__lowerCamelCase											=  []
				__lowerCamelCase											=  []
				with open(doctest_file_path) as fp:
								for line in fp:
												__lowerCamelCase											=  line.strip()
												__lowerCamelCase											=  os.path.join(REPO_PATH, line)
												if not (os.path.isfile(path) or os.path.isdir(path)):
																non_existent_paths.append(line)
												all_paths.append(path)
				if len(non_existent_paths) > 0:
								__lowerCamelCase											=  "\n".join(non_existent_paths)
								raise ValueError(F'''`utils/documentation_tests.txt` contains non-existent paths:\n{non_existent_paths}''')
				if all_paths != sorted(all_paths):
								raise ValueError("Files in `utils/documentation_tests.txt` are not in alphabetical order.")





