"""simple docstring"""
import random



class 	lowerCAmelCase_     :



				"""simple docstring"""

				def __init__(					self		,     lowerCAmelCase		,     lowerCAmelCase		,     lowerCAmelCase = 0.01		,     lowerCAmelCase = 10_00		,     lowerCAmelCase = -1		,     ):






										"""simple docstring"""

										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 		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     )

										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 		snake_case			(					self		,     lowerCAmelCase     ):






										"""simple docstring"""

										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 		snake_case			(					self		,     lowerCAmelCase     ):






										"""simple docstring"""

										return 1 if u >= 0 else -1





SCREAMING_SNAKE_CASE__       =	[
    [-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],
]

SCREAMING_SNAKE_CASE__       =	[
    -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()

					SCREAMING_SNAKE_CASE__       =	Perceptron(
					    sample=samples, target=target, learning_rate=0.01, epoch_number=1_000, bias=-1
					)
					network.training()
					print("Finished training perceptron")
					print("Enter values to predict or q to exit")
					while True:
										SCREAMING_SNAKE_CASE__       =	[]
										for i in range(len(samples[0])):
															SCREAMING_SNAKE_CASE__       =	input("value: ").strip()
															if user_input == "q":
																				break
															SCREAMING_SNAKE_CASE__       =	float(user_input)
															sample.insert(i, observation)
										network.sort(sample)



"""simple docstring"""
import math
from collections.abc import Generator





def  lowerCAmelCase__     (      _UpperCamelCase							:					int       )       ->					Generator[int, None, None]:





						"""simple docstring"""






						snake_case             =      (i for i in range(1			,      (max_n + 1)       ))
						for i in (n for n in numbers if n > 1):
												for j in range(2			,      _UpperCamelCase       ):
																		if (i % j) == 0:
																								break
												else:
																		yield i





def  lowerCAmelCase__     (      _UpperCamelCase							:					int       )       ->					Generator[int, None, None]:





						"""simple docstring"""






						snake_case             =      (i for i in range(1			,      (max_n + 1)       ))
						for i in (n for n in numbers if n > 1):
												# only need to check for factors up to sqrt(i)
												snake_case             =      int(math.sqrt(_UpperCamelCase       )       ) + 1
												for j in range(2			,      _UpperCamelCase       ):
																		if (i % j) == 0:
																								break
												else:
																		yield i





def  lowerCAmelCase__     (      _UpperCamelCase							:					int       )       ->					Generator[int, None, None]:





						"""simple docstring"""






						snake_case             =      (i for i in range(1			,      (max_n + 1)			,      2       ))
						# It's useless to test even numbers as they will not be prime
						if max_n > 2:
												yield 2  # Because 2 will not be tested, it's necessary to yield it now
						for i in (n for n in numbers if n > 1):
												snake_case             =      int(math.sqrt(_UpperCamelCase       )       ) + 1
												for j in range(3			,      _UpperCamelCase			,      2       ):
																		# As we removed the even numbers, we don't need them now
																		if (i % j) == 0:
																								break
												else:
																		yield i





def  lowerCAmelCase__     (      )       ->					List[str]:





						"""simple docstring"""






						from timeit import timeit

						snake_case             =      'from __main__ import slow_primes, primes, fast_primes'
						print(timeit('slow_primes(1_000_000_000_000)'			,      setup=_UpperCamelCase			,      number=1_0_0_0_0_0_0       )       )
						print(timeit('primes(1_000_000_000_000)'			,      setup=_UpperCamelCase			,      number=1_0_0_0_0_0_0       )       )
						print(timeit('fast_primes(1_000_000_000_000)'			,      setup=_UpperCamelCase			,      number=1_0_0_0_0_0_0       )       )


if __name__ == "__main__":
					SCREAMING_SNAKE_CASE__       =	int(input("Calculate primes up to:\n>> ").strip())
					for ret in primes(number):
										print(ret)
					benchmark()


