


import random





class 					snake_case   :





  """simple docstring"""




  def __init__(   self      ,  UpperCamelCase      ,  UpperCamelCase      ,  UpperCamelCase = 0.01      ,  UpperCamelCase = 1000      ,  UpperCamelCase = -1      ,  ):







   """simple docstring"""
   lowerCamelCase_								=  sample
   if len(self.sample					) == 0:
    raise ValueError("Sample data can not be empty"					)
   lowerCamelCase_								=  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"					)
   lowerCamelCase_								=  learning_rate
   lowerCamelCase_								=  epoch_number
   lowerCamelCase_								=  bias
   lowerCamelCase_								=  len(_UpperCAmelCase					)
   lowerCamelCase_								=  len(sample[0]					)  # number of columns in dataset
   lowerCamelCase_								=  []






  def   snake_case		(   self					):







   """simple docstring"""


   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					)

   lowerCamelCase_								=  0

   while True:
    lowerCamelCase_								=  False
    for i in range(self.number_sample					):
     lowerCamelCase_								=  0
     for j in range(self.col_sample + 1					):
      lowerCamelCase_								=  u + self.weight[j] * self.sample[i][j]
     lowerCamelCase_								=  self.sign(_UpperCAmelCase					)
     if y != self.target[i]:
      for j in range(self.col_sample + 1					):
       lowerCamelCase_								=  (
           self.weight[j]
           + self.learning_rate
           * (self.target[i] - y)
           * self.sample[i][j]
       )
      lowerCamelCase_								=  True
            # print('Epoch: \n',epoch_count)
    lowerCamelCase_								=  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   snake_case		(   self      ,  UpperCamelCase					):







   """simple docstring"""


   if len(self.sample					) == 0:
    raise ValueError("Sample data can not be empty"					)
   sample.insert(0      ,  self.bias					)
   lowerCamelCase_								=  0
   for i in range(self.col_sample + 1					):
    lowerCamelCase_								=  u + self.weight[i] * sample[i]

   lowerCamelCase_								=  self.sign(_UpperCAmelCase					)

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







  def   snake_case		(   self      ,  UpperCamelCase					):







   """simple docstring"""
   return 1 if u >= 0 else -1



a_  :    Optional[int]      =			[
    [-0.6_5_0_8, 0.1_0_9_7, 4.0_0_0_9],
    [-1.4_4_9_2, 0.8_8_9_6, 4.4_0_0_5],
    [2.0_8_5_0, 0.6_8_7_6, 1_2.0_7_1_0],
    [0.2_6_2_6, 1.1_4_7_6, 7.7_9_8_5],
    [0.6_4_1_8, 1.0_2_3_4, 7.0_4_2_7],
    [0.2_5_6_9, 0.6_7_3_0, 8.3_2_6_5],
    [1.1_1_5_5, 0.6_0_4_3, 7.4_4_4_6],
    [0.0_9_1_4, 0.3_3_9_9, 7.0_6_7_7],
    [0.0_1_2_1, 0.5_2_5_6, 4.6_3_1_6],
    [-0.0_4_2_9, 0.4_6_6_0, 5.4_3_2_3],
    [0.4_3_4_0, 0.6_8_7_0, 8.2_2_8_7],
    [0.2_7_3_5, 1.0_2_8_7, 7.1_9_3_4],
    [0.4_8_3_9, 0.4_8_5_1, 7.4_8_5_0],
    [0.4_0_8_9, -0.1_2_6_7, 5.5_0_1_9],
    [1.4_3_9_1, 0.1_6_1_4, 8.5_8_4_3],
    [-0.9_1_1_5, -0.1_9_7_3, 2.1_9_6_2],
    [0.3_6_5_4, 1.0_4_7_5, 7.4_8_5_8],
    [0.2_1_4_4, 0.7_5_1_5, 7.1_6_9_9],
    [0.2_0_1_3, 1.0_0_1_4, 6.5_4_8_9],
    [0.6_4_8_3, 0.2_1_8_3, 5.8_9_9_1],
    [-0.1_1_4_7, 0.2_2_4_2, 7.2_4_3_5],
    [-0.7_9_7_0, 0.8_7_9_5, 3.8_7_6_2],
    [-1.0_6_2_5, 0.6_3_6_6, 2.4_7_0_7],
    [0.5_3_0_7, 0.1_2_8_5, 5.6_8_8_3],
    [-1.2_2_0_0, 0.7_7_7_7, 1.7_2_5_2],
    [0.3_9_5_7, 0.1_0_7_6, 5.6_6_2_3],
    [-0.1_0_1_3, 0.5_9_8_9, 7.1_8_1_2],
    [2.4_4_8_2, 0.9_4_5_5, 1_1.2_0_9_5],
    [2.0_1_4_9, 0.6_1_9_2, 1_0.9_2_6_3],
    [0.2_0_1_2, 0.2_6_1_1, 5.4_6_3_1],
]

a_  :    Any      =			[
    -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()

     a_  :    Optional[int]      =			Perceptron(
         sample=samples, target=target, learning_rate=0.0_1, epoch_number=1000, bias=-1
     )
     network.training()
     print("""Finished training perceptron""")
     print("""Enter values to predict or q to exit""")
     while True:
          a_  :    Any      =			[]
          for i in range(len(samples[0])):
               a_  :    Union[str, Any]      =			input("""value: """).strip()
               if user_input == "q":
                    break
               a_  :    Optional[Any]      =			float(user_input)
               sample.insert(i, observation)
          network.sort(sample)







'''simple docstring'''

def __snake_case (				UpperCAmelCase_						:						float		):
 return -num if num < 0 else num





def __snake_case (				UpperCAmelCase_						:						list[int]		):
 if len(UpperCAmelCase_		) == 0:
  raise ValueError("abs_min() arg is an empty sequence"		)
 lowerCamelCase_								=  x[0]
 for i in x:
  if abs_val(UpperCAmelCase_		) < abs_val(UpperCAmelCase_		):
   lowerCamelCase_								=  i
 return j





def __snake_case (				UpperCAmelCase_						:						list[int]		):
 if len(UpperCAmelCase_		) == 0:
  raise ValueError("abs_max() arg is an empty sequence"		)
 lowerCamelCase_								=  x[0]
 for i in x:
  if abs(UpperCAmelCase_		) > abs(UpperCAmelCase_		):
   lowerCamelCase_								=  i
 return j





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





def __snake_case (				):
 assert abs_val(0		) == 0
 assert abs_val(34		) == 34
 assert abs_val(-100000000000		) == 100000000000

 lowerCamelCase_								=  [-3, -1, 2, -11]
 assert abs_max(UpperCAmelCase_		) == -11
 assert abs_max_sort(UpperCAmelCase_		) == -11
 assert abs_min(UpperCAmelCase_		) == -1


if __name__ == "__main__":
     import doctest

     doctest.testmod()

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



