






"""simple docstring"""
from __future__ import annotations

import math

import numpy as np
from numpy.linalg import norm

def        snake_case   (     A__			,A__		):
			return math.sqrt(sum(pow(a - b			,2		) for a, b in zip(__SCREAMING_SNAKE_CASE			,__SCREAMING_SNAKE_CASE		)		)		)

def        snake_case   (     A__			,A__		):

			if dataset.ndim != value_array.ndim:
						UpperCAmelCase_  :				Dict      =      (
						    "Wrong input data's dimensions... "
						    F"""dataset : {dataset.ndim}, value_array : {value_array.ndim}"""
						)
						raise ValueError(__SCREAMING_SNAKE_CASE		)

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

			if dataset.dtype != value_array.dtype:
						UpperCAmelCase_  :				Optional[Any]      =      (
						    "Input data have different datatype... "
						    F"""dataset : {dataset.dtype}, value_array : {value_array.dtype}"""
						)
						raise TypeError(__SCREAMING_SNAKE_CASE		)

			UpperCAmelCase_  :				Dict      =      []

			for value in value_array:
						UpperCAmelCase_  :				Tuple      =      euclidean(__SCREAMING_SNAKE_CASE			,dataset[0]		)
						UpperCAmelCase_  :				List[Any]      =      dataset[0].tolist()

						for dataset_value in dataset[1:]:
									UpperCAmelCase_  :				Optional[int]      =      euclidean(__SCREAMING_SNAKE_CASE			,__SCREAMING_SNAKE_CASE		)

									if dist > temp_dist:
												UpperCAmelCase_  :				Tuple      =      temp_dist
												UpperCAmelCase_  :				int      =      dataset_value.tolist()

						answer.append([vector, dist]		)

			return answer

def        snake_case   (     A__			,A__		):
			return np.dot(__SCREAMING_SNAKE_CASE			,__SCREAMING_SNAKE_CASE		) / (norm(__SCREAMING_SNAKE_CASE		) * norm(__SCREAMING_SNAKE_CASE		))


if __name__ == "__main__":
			import doctest

			doctest.testmod()











"""simple docstring"""
lowerCamelCase_       			=   {
    '''a''': '''AAAAA''',
    '''b''': '''AAAAB''',
    '''c''': '''AAABA''',
    '''d''': '''AAABB''',
    '''e''': '''AABAA''',
    '''f''': '''AABAB''',
    '''g''': '''AABBA''',
    '''h''': '''AABBB''',
    '''i''': '''ABAAA''',
    '''j''': '''BBBAA''',
    '''k''': '''ABAAB''',
    '''l''': '''ABABA''',
    '''m''': '''ABABB''',
    '''n''': '''ABBAA''',
    '''o''': '''ABBAB''',
    '''p''': '''ABBBA''',
    '''q''': '''ABBBB''',
    '''r''': '''BAAAA''',
    '''s''': '''BAAAB''',
    '''t''': '''BAABA''',
    '''u''': '''BAABB''',
    '''v''': '''BBBAB''',
    '''w''': '''BABAA''',
    '''x''': '''BABAB''',
    '''y''': '''BABBA''',
    '''z''': '''BABBB''',
    ''' ''': ''' ''',
}


lowerCamelCase_       			=   {value: key for key, value in encode_dict.items()}

def        snake_case   (     A__		):
			UpperCAmelCase_  :				Union[str, Any]      =      ""
			for letter in word.lower():
						if letter.isalpha() or letter == " ":
									encoded += encode_dict[letter]
						else:
									raise Exception("encode() accepts only letters of the alphabet and spaces"		)
			return encoded

def        snake_case   (     A__		):
			if set(A__		) - {"A", "B", " "} != set():
						raise Exception("decode() accepts only 'A', 'B' and spaces"		)
			UpperCAmelCase_  :				Dict      =      ""
			for word in coded.split():
						while len(A__		) != 0:
									decoded += decode_dict[word[:5]]
									UpperCAmelCase_  :				str      =      word[5:]
						decoded += " "
			return decoded.strip()


if __name__ == "__main__":
			from doctest import testmod

			testmod()



