
import random







class 							lowercase						:




							def __init__(							self  ,A__  ,A__  ,A__ = 0.01  ,A__ = 1_0_0_0  ,A__ = -1  ,):
												lowercase		      =		sample
												if len(self.sample) == 0:
																	raise ValueError('''Sample data can not be empty''')
												lowercase		      =		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''')
												lowercase		      =		learning_rate
												lowercase		      =		epoch_number
												lowercase		      =		bias
												lowercase		      =		len(A__)
												lowercase		      =		len(sample[0])  # number of columns in dataset
												lowercase		      =		[]




							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)

												lowercase		      =		0

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

												lowercase		      =		self.sign(A__)

												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


lowercase__						:Optional[int]					    =       [
    [-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],
]

lowercase__						:Optional[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()

							lowercase__						:str					    =       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:
														lowercase__						:list					    =       []
														for i in range(len(samples[0])):
																					lowercase__						:List[str]					    =       input("value: ").strip()
																					if user_input == "q":
																												break
																					lowercase__						:List[str]					    =       float(user_input)
																					sample.insert(i, observation)
														network.sort(sample)






from __future__ import annotations

import random
import string







class 							lowercase						:




							def __init__(							self  ,A__ = None):
												lowercase		      =		passcode or self.__passcode_creator()
												lowercase		      =		self.__make_key_list()
												lowercase		      =		self.__make_shift_key()




							def __str__(							self):
												return "".join(self.__passcode)




							def 					A__ (							self  ,A__):
												for i in range(1  ,len(A__)  ,2):
																	iterlist[i] *= -1
												return iterlist




							def 					A__ (							self):
												lowercase		      =		string.ascii_letters + string.digits
												lowercase		      =		[random.choice(A__) for _ in range(random.randint(1_0  ,2_0))]
												return password




							def 					A__ (							self):
												lowercase		      =		(
												    string.ascii_letters + string.digits + string.punctuation + ''' \t\n'''
												)

												lowercase		      =		[]

												# creates points known as breakpoints to break the key_list_options at those
												# points and pivot each substring
												lowercase		      =		sorted(set(self.__passcode))
												lowercase		      =		[]

												# algorithm for creating a new shuffled list, keys_l, out of key_list_options
												for i in key_list_options:
																	temp_list.extend(A__)

																	# checking breakpoints at which to pivot temporary sublist and add it into
																	# keys_l
																	if i in breakpoints or i == key_list_options[-1]:
																						keys_l.extend(temp_list[::-1])
																						temp_list.clear()

        # returning a shuffled keys_l to prevent brute force guessing of shift key
												return keys_l




							def 					A__ (							self):
												lowercase		      =		sum(self.__neg_pos([ord(A__) for x in self.__passcode]))
												return num if num > 0 else len(self.__passcode)




							def 					A__ (							self  ,A__):
												lowercase		      =		''''''

												# decoding shift like Caesar cipher algorithm implementing negative shift or
												# reverse shift or left shift
												for i in encoded_message:
																	lowercase		      =		self.__key_list.index(A__)
																	decoded_message += self.__key_list[
																	    (position - self.__shift_key) % -len(self.__key_list)
																	]

												return decoded_message





							def 					A__ (							self  ,A__):
												lowercase		      =		''''''

												# encoding shift like Caesar cipher algorithm implementing positive shift or
												# forward shift or right shift
												for i in plaintext:
																	lowercase		      =		self.__key_list.index(A__)
																	encoded_message += self.__key_list[
																	    (position + self.__shift_key) % len(self.__key_list)
																	]

												return encoded_message



def 			UpperCamelCase       (				lowerCAmelCase__ = "Hello, this is a modified Caesar cipher"						):
					'''simple docstring'''
					lowercase		      =		ShuffledShiftCipher()
					return cipa.decrypt(cipa.encrypt(lowerCAmelCase__						)						)


if __name__ == "__main__":
							import doctest

							doctest.testmod()




