

import random







class 					__lowerCamelCase							:







      def __init__(	self				,    lowerCamelCase				,    lowerCamelCase				,    lowerCamelCase = 0.01				,    lowerCamelCase = 1000				,    lowerCamelCase = -1				,    )		->			None:
        snake_case_					= sample
        if len(self.sample  ) == 0:
          raise ValueError("""Sample data can not be empty"""  )
        snake_case_					= target
        if len(self.target  ) == 0:
          raise ValueError("""Target data can not be empty"""  )
        if len(self.sample  ) != len(self.target  ):
          raise ValueError("""Sample data and Target data do not have matching lengths"""  )
        snake_case_					= learning_rate
        snake_case_					= epoch_number
        snake_case_					= bias
        snake_case_					= len(lowerCamelCase  )
        snake_case_					= len(sample[0]  )  # number of columns in dataset
        snake_case_					= []







      def       lowerCAmelCase_       (	self  )		->			None:
        for sample in self.sample:
          sample.insert(0				,    self.bias  )

        for _ in range(self.col_sample  ):
          self.weight.append(random.random()  )

        self.weight.insert(0				,    self.bias  )

        snake_case_					= 0

        while True:
          snake_case_					= False
          for i in range(self.number_sample  ):
            snake_case_					= 0
            for j in range(self.col_sample + 1  ):
              snake_case_					= u + self.weight[j] * self.sample[i][j]
            snake_case_					= self.sign(lowerCamelCase  )
            if y != self.target[i]:
              for j in range(self.col_sample + 1  ):
                snake_case_					= (
                    self.weight[j]
                    + self.learning_rate
                    * (self.target[i] - y)
                    * self.sample[i][j]
                )
              snake_case_					= True
            # print('Epoch: \n',epoch_count)
          snake_case_					= epoch_count + 1
          # if you want control the epoch or just by error
          if not has_misclassified:
            print(("""\nEpoch:\n""", epoch_count)  )
            print("""------------------------\n"""  )
            # if epoch_count > self.epoch_number or not error:
            break







      def       lowerCAmelCase_       (	self				,    lowerCamelCase  )		->			None:
        if len(self.sample  ) == 0:
          raise ValueError("""Sample data can not be empty"""  )
        sample.insert(0				,    self.bias  )
        snake_case_					= 0
        for i in range(self.col_sample + 1  ):
          snake_case_					= u + self.weight[i] * sample[i]

        snake_case_					= self.sign(lowerCamelCase  )

        if y == -1:
          print(("""Sample: """, sample)  )
          print("""classification: P1"""  )
        else:
          print(("""Sample: """, sample)  )
          print("""classification: P2"""  )







      def       lowerCAmelCase_       (	self				,    lowerCamelCase  )		->			int:
        return 1 if u >= 0 else -1

lowerCamelCase_					  =   [
    [-0.6_508, 0.1_097, 4.0_009],
    [-1.4_492, 0.8_896, 4.4_005],
    [2.0_850, 0.6_876, 12.0_710],
    [0.2_626, 1.1_476, 7.7_985],
    [0.6_418, 1.0_234, 7.0_427],
    [0.2_569, 0.6_730, 8.3_265],
    [1.1_155, 0.6_043, 7.4_446],
    [0.0_914, 0.3_399, 7.0_677],
    [0.0_121, 0.5_256, 4.6_316],
    [-0.0_429, 0.4_660, 5.4_323],
    [0.4_340, 0.6_870, 8.2_287],
    [0.2_735, 1.0_287, 7.1_934],
    [0.4_839, 0.4_851, 7.4_850],
    [0.4_089, -0.1_267, 5.5_019],
    [1.4_391, 0.1_614, 8.5_843],
    [-0.9_115, -0.1_973, 2.1_962],
    [0.3_654, 1.0_475, 7.4_858],
    [0.2_144, 0.7_515, 7.1_699],
    [0.2_013, 1.0_014, 6.5_489],
    [0.6_483, 0.2_183, 5.8_991],
    [-0.1_147, 0.2_242, 7.2_435],
    [-0.7_970, 0.8_795, 3.8_762],
    [-1.0_625, 0.6_366, 2.4_707],
    [0.5_307, 0.1_285, 5.6_883],
    [-1.2_200, 0.7_777, 1.7_252],
    [0.3_957, 0.1_076, 5.6_623],
    [-0.1_013, 0.5_989, 7.1_812],
    [2.4_482, 0.9_455, 11.2_095],
    [2.0_149, 0.6_192, 10.9_263],
    [0.2_012, 0.2_611, 5.4_631],
]

lowerCamelCase_					  =   [
    -1,
    -1,
    -1,
    1,
    1,
    -1,
    1,
    -1,
    1,
    1,
    -1,
    1,
    -1,
    -1,
    -1,
    -1,
    1,
    1,
    1,
    1,
    -1,
    1,
    1,
    1,
    1,
    -1,
    -1,
    1,
    -1,
    1,
]


if __name__ == "__main__":
    import doctest

    doctest.testmod()

    lowerCamelCase_					  =   Perceptron(
        sample=samples, target=target, learning_rate=0.01, epoch_number=1000, bias=-1
    )
    network.training()
    print('''Finished training perceptron''')
    print('''Enter values to predict or q to exit''')
    while True:
        lowerCamelCase_					  =   []
        for i in range(len(samples[0])):
            lowerCamelCase_					  =   input('''value: ''').strip()
            if user_input == "q":
                break
            lowerCamelCase_					  =   float(user_input)
            sample.insert(i, observation)
        network.sort(sample)


def   UpperCamelCase(   lowercase_				)      ->							float:





  '''simple docstring'''





  return -num if num < 0 else num



def   UpperCamelCase(   lowercase_				)      ->							int:





  '''simple docstring'''





  if len(lowercase_				) == 0:
    raise ValueError("""abs_min() arg is an empty sequence"""				)
  snake_case_					= x[0]
  for i in x:
    if abs_val(lowercase_				) < abs_val(lowercase_				):
      snake_case_					= i
  return j



def   UpperCamelCase(   lowercase_				)      ->							int:





  '''simple docstring'''





  if len(lowercase_				) == 0:
    raise ValueError("""abs_max() arg is an empty sequence"""				)
  snake_case_					= x[0]
  for i in x:
    if abs(lowercase_				) > abs(lowercase_				):
      snake_case_					= i
  return j



def   UpperCamelCase(   lowercase_				)      ->							int:





  '''simple docstring'''





  if len(lowercase_				) == 0:
    raise ValueError("""abs_max_sort() arg is an empty sequence"""				)
  return sorted(lowercase_     ,   key=lowercase_				)[-1]



def   UpperCamelCase(   )      ->							List[Any]:





  '''simple docstring'''





  assert abs_val(0				) == 0
  assert abs_val(34				) == 34
  assert abs_val(-100000000000				) == 100000000000

  snake_case_					= [-3, -1, 2, -11]
  assert abs_max(lowercase_				) == -11
  assert abs_max_sort(lowercase_				) == -11
  assert abs_min(lowercase_				) == -1


if __name__ == "__main__":
    import doctest

    doctest.testmod()

    test_abs_val()
    print(abs_val(-34))  # --> 34