





'''simple docstring'''






import math







class 			lowerCamelCase					:


					def    SCREAMING_SNAKE_CASE_		(					self	:  Union[str, Any]       ,     __snake_case	:  list[list[float]]       ,     __snake_case	:  list[int]       ):





											'''simple docstring'''





											_snake_case:   Optional[Any]  					=		0.0
											_snake_case:   Any  					=		0.0
											for i in range(len(__snake_case       )       ):
																	da += math.pow((sample[i] - weights[0][i])       ,     2       )
																	da += math.pow((sample[i] - weights[1][i])       ,     2       )
																	return 0 if da > da else 1
											return 0




					def    SCREAMING_SNAKE_CASE_		(					self	:  Optional[Any]       ,     __snake_case	:  list[list[int | float]]       ,     __snake_case	:  list[int]       ,     __snake_case	:  int       ,     __snake_case	:  float       ):





											'''simple docstring'''





											for i in range(len(__snake_case       )       ):
																	weights[j][i] += alpha * (sample[i] - weights[j][i])
											return weights





def       lowercase_      (		)   ->None:
						# Training Examples ( m, n )
						_snake_case:   int  					=		[[1, 1, 0, 0], [0, 0, 0, 1], [1, 0, 0, 0], [0, 0, 1, 1]]

						# weight initialization ( n, C )
						_snake_case:   str  					=		[[0.2, 0.6, 0.5, 0.9], [0.8, 0.4, 0.7, 0.3]]

						# training
						_snake_case:   Any  					=		SelfOrganizingMap()
						_snake_case:   str  					=		3
						_snake_case:   Union[str, Any]  					=		0.5

						for _ in range(lowercase__						):
												for j in range(len(lowercase__						)						):
																		# training sample
																		_snake_case:   int  					=		training_samples[j]

																		# Compute the winning vector
																		_snake_case:   Optional[Any]  					=		self_organizing_map.get_winner(lowercase__				,  lowercase__						)

																		# Update the winning vector
																		_snake_case:   Tuple  					=		self_organizing_map.update(lowercase__				,  lowercase__				,  lowercase__				,  lowercase__						)

    # classify test sample
						_snake_case:   List[str]  					=		[0, 0, 0, 1]
						_snake_case:   List[Any]  					=		self_organizing_map.get_winner(lowercase__				,  lowercase__						)

						# results
						print(F'''Clusters that the test sample belongs to : {winner}'''						)
						print(F'''Weights that have been trained : {weights}'''						)


# running the main() function
if __name__ == "__main__":
		main()












'''simple docstring'''






from __future__ import annotations

A   : Union[str, Any]             =			[-10, -5, 0, 5, 5.1, 11, 13, 21, 3, 4, -21, -10, -5, -1, 0]
A   : Optional[int]             =			[-5, 0, 5, 5.1, 11, 13, 21, -1, 4, -1, -10, -5, -1, 0, -1]





def       lowercase_      (		lowercase__						)   ->list[float]:
						_snake_case:   Tuple  					=		[]
						_snake_case:   List[Any]  					=		len(lowercase__						)

						for i in range(lowercase__						):
												_snake_case:   float  					=		-1
												for j in range(i + 1				,  lowercase__						):
																		if arr[i] < arr[j]:
																								_snake_case:   List[str]  					=		arr[j]
																								break
												result.append(lowercase__						)
						return result





def       lowercase_      (		lowercase__						)   ->list[float]:
						_snake_case:   Tuple  					=		[]
						for i, outer in enumerate(lowercase__						):
												_snake_case:   float  					=		-1
												for inner in arr[i + 1 :]:
																		if outer < inner:
																								_snake_case:   List[Any]  					=		inner
																								break
												result.append(lowercase__						)
						return result





def       lowercase_      (		lowercase__						)   ->list[float]:
						_snake_case:   int  					=		len(lowercase__						)
						_snake_case:   list[float]  					=		[]
						_snake_case:   list[float]  					=		[-1] * arr_size

						for index in reversed(range(lowercase__						)						):
												if stack:
																		while stack[-1] <= arr[index]:
																								stack.pop()
																								if not stack:
																														break
												if stack:
																		_snake_case:   Dict  					=		stack[-1]
												stack.append(arr[index]						)
						return result


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

		testmod()
		print(next_greatest_element_slow(arr))
		print(next_greatest_element_fast(arr))
		print(next_greatest_element(arr))

		A   : Union[str, Any]             =			(
		    'from __main__ import arr, next_greatest_element_slow, '
		    'next_greatest_element_fast, next_greatest_element'
		)
		print(
		    'next_greatest_element_slow():',
		    timeit('next_greatest_element_slow(arr)', setup=setup),
		)
		print(
		    'next_greatest_element_fast():',
		    timeit('next_greatest_element_fast(arr)', setup=setup),
		)
		print(
		    '     next_greatest_element():',
		    timeit('next_greatest_element(arr)', setup=setup),
		)





