import math




class 			__magic_name__	:





   """simple docstring"""




   def 	lowerCAmelCase    (						self       :	int		,	_lowercase       :	list[list[float]]		,	_lowercase       :	list[int]				):



    """simple docstring"""



    _UpperCamelCase:  Optional[int]    						=			0.0
    _UpperCamelCase:  Optional[int]    						=			0.0
    for i in range(len(_lowercase				)				):
     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 	lowerCAmelCase    (						self       :	List[Any]		,	_lowercase       :	list[list[int | float]]		,	_lowercase       :	list[int]		,	_lowercase       :	int		,	_lowercase       :	float				):



    """simple docstring"""



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




def    lowerCAmelCase_  (		)     ->					None:







 '''simple docstring'''
 # Training Examples ( m, n )
 _UpperCamelCase:  List[Any]    						=			[[1, 1, 0, 0], [0, 0, 0, 1], [1, 0, 0, 0], [0, 0, 1, 1]]

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

 # training
 _UpperCamelCase:  Dict    						=			SelfOrganizingMap()
 _UpperCamelCase:  List[Any]    						=			3
 _UpperCamelCase:  Union[str, Any]    						=			0.5

 for _ in range(lowercase		):
  for j in range(len(lowercase		)		):
   # training sample
   _UpperCamelCase:  List[Any]    						=			training_samples[j]

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

   # Update the winning vector
   _UpperCamelCase:  int    						=			self_organizing_map.update(lowercase	,       lowercase	,       lowercase	,       lowercase		)

    # classify test sample
 _UpperCamelCase:  int    						=			[0, 0, 0, 1]
 _UpperCamelCase:  Dict    						=			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()
def    lowerCAmelCase_  (		lowercase:				Dict		)     ->					Any:







 '''simple docstring'''
 _UpperCamelCase:  int    						=			[]
 _UpperCamelCase:  Dict    						=			set({'''(''', '''[''', '''{'''}		)
 _UpperCamelCase:  int    						=			set({''')''', ''']''', '''}'''}		)
 _UpperCamelCase:  Dict    						=			{'''{''': '''}''', '''[''': ''']''', '''(''': ''')'''}

 for i in range(len(lowercase		)		):
  if s[i] in open_brackets:
   stack.append(s[i]		)

  elif s[i] in closed_brackets and (
      len(lowercase		) == 0 or (len(lowercase		) > 0 and open_to_closed[stack.pop()] != s[i])
  ):
   return False

 return len(lowercase		) == 0




def    lowerCAmelCase_  (		)     ->					int:







 '''simple docstring'''
 _UpperCamelCase:  List[str]    						=			input('''Enter sequence of brackets: '''		)
 if is_balanced(lowercase		):
  print(lowercase	,       '''is balanced'''		)
 else:
  print(lowercase	,       '''is not balanced'''		)


if __name__ == "__main__":
  main()