






'''simple docstring'''







import random
class  lowercase_					:


    def __init__(					self  , a  , a  , a = 0.01  , a = 10_00  , a = -1  , ):
          UpperCamelCase__  =    sample
          if len(self.sample   ) == 0:
                raise ValueError("Sample data can not be empty"   )
          UpperCamelCase__  =    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"   )
          UpperCamelCase__  =    learning_rate
          UpperCamelCase__  =    epoch_number
          UpperCamelCase__  =    bias
          UpperCamelCase__  =    len(__snake_case   )
          UpperCamelCase__  =    len(sample[0]   )  # number of columns in dataset
          UpperCamelCase__  =    []


    def        __a							(					self   ):
          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   )

          UpperCamelCase__  =    0

          while True:
                UpperCamelCase__  =    False
                for i in range(self.number_sample   ):
                      UpperCamelCase__  =    0
                      for j in range(self.col_sample + 1   ):
                            UpperCamelCase__  =    u + self.weight[j] * self.sample[i][j]
                      UpperCamelCase__  =    self.sign(__snake_case   )
                      if y != self.target[i]:
                            for j in range(self.col_sample + 1   ):
                                  UpperCamelCase__  =    (
                                      self.weight[j]
                                      + self.learning_rate
                                      * (self.target[i] - y)
                                      * self.sample[i][j]
                                  )
                            UpperCamelCase__  =    True
            # print('Epoch: \n',epoch_count)
                UpperCamelCase__  =    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        __a							(					self  , a   ):
          if len(self.sample   ) == 0:
                raise ValueError("Sample data can not be empty"   )
          sample.insert(0  , self.bias   )
          UpperCamelCase__  =    0
          for i in range(self.col_sample + 1   ):
                UpperCamelCase__  =    u + self.weight[i] * sample[i]

          UpperCamelCase__  =    self.sign(__snake_case   )

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


    def        __a							(					self  , a   ):
          return 1 if u >= 0 else -1

a__  : int				=	[
    [-0.6508, 0.1097, 4.0009],
    [-1.4492, 0.8896, 4.4005],
    [2.0850, 0.6876, 12.0710],
    [0.2626, 1.1476, 7.7985],
    [0.6418, 1.0234, 7.0427],
    [0.2569, 0.6730, 8.3265],
    [1.1155, 0.6043, 7.4446],
    [0.0914, 0.3399, 7.0677],
    [0.0121, 0.5256, 4.6316],
    [-0.0429, 0.4660, 5.4323],
    [0.4340, 0.6870, 8.2287],
    [0.2735, 1.0287, 7.1934],
    [0.4839, 0.4851, 7.4850],
    [0.4089, -0.1267, 5.5019],
    [1.4391, 0.1614, 8.5843],
    [-0.9115, -0.1973, 2.1962],
    [0.3654, 1.0475, 7.4858],
    [0.2144, 0.7515, 7.1699],
    [0.2013, 1.0014, 6.5489],
    [0.6483, 0.2183, 5.8991],
    [-0.1147, 0.2242, 7.2435],
    [-0.7970, 0.8795, 3.8762],
    [-1.0625, 0.6366, 2.4707],
    [0.5307, 0.1285, 5.6883],
    [-1.2200, 0.7777, 1.7252],
    [0.3957, 0.1076, 5.6623],
    [-0.1013, 0.5989, 7.1812],
    [2.4482, 0.9455, 11.2095],
    [2.0149, 0.6192, 10.9263],
    [0.2012, 0.2611, 5.4631],
]

a__  : List[str]				=	[
    -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__  : str				=	Perceptron(
      sample=samples, target=target, learning_rate=0.01, epoch_number=1_0_0_0, bias=-1
  )
  network.training()
  print('Finished training perceptron')
  print('Enter values to predict or q to exit')
  while True:
    a__  : list				=	[]
    for i in range(len(samples[0])):
      a__  : List[str]				=	input('value: ').strip()
      if user_input == "q":
        break
      a__  : Any				=	float(user_input)
      sample.insert(i, observation)
    network.sort(sample)









'''simple docstring'''







import math







def _UpperCamelCase	(					__A   )							->		bool:


      '''simple docstring'''



      if 1 < number < 4:
            # 2 and 3 are primes
            return True
      elif number < 2 or number % 2 == 0 or number % 3 == 0:
            # Negatives, 0, 1, all even numbers, all multiples of 3 are not primes
            return False

      # All primes number are in format of 6k +/- 1
      for i in range(5				,      int(math.sqrt(__A   ) + 1   )				,      6   ):
            if number % i == 0 or number % (i + 2) == 0:
                  return False
      return True







def _UpperCamelCase	(					__A = 1000				,      __A = 1000   )							->		int:


      '''simple docstring'''



      UpperCamelCase__  =    [0, 0, 0]  # length, a, b
      for a in range((a_limit * -1) + 1				,      __A   ):
            for b in range(2				,      __A   ):
                  if is_prime(__A   ):
                        UpperCamelCase__  =    0
                        UpperCamelCase__  =    0
                        while is_prime((n**2) + (a * n) + b   ):
                              count += 1
                              n += 1
                        if count > longest[0]:
                              UpperCamelCase__  =    [count, a, b]
      UpperCamelCase__  =    longest[1] * longest[2]
      return ans


if __name__ == "__main__":
  print(solution(1_0_0_0, 1_0_0_0))





