# Config Statements
from _DUMP import me
me.mark("D")
print("Start -- Debug Stat\n")
# class declarition
class matrix:
def __init__(self, Lrows = 3, Lcols = 3):
self.rows = Lrows
self.cols = Lcols
self.Matrix = [[0 for x in range(self.rows)] for y in range(self.cols)]
print(self.Matrix)
obj = matrix(2,2)
print(obj.Matrix)
print("\nEnd -- Debug Stat")
from _DUMP import me
import numpy
me.mark('D')
print('Start Prog --Debug Stat \n')
class prepceptron:
def __init__(self, number_inputsL, biaseL):
self.number_inputs = number_inputsL
self.biase = biaseL
self.output = 9
self.weights = numpy.random.rand(number_inputsL, 1)
self.threshold = 0
self.fire = False
# self.learning_rate = 0.5
self.input_train = [
[0, 0],
[0, 1],
[1, 0],
]
self.output_train = [0, 1, 1]
def start(self, inputL):
self.output = 0
for i in range(self.number_inputs):
self.output = self.output + inputL[i] * self.weights[i] + self.biase
# print(outputL ," --[",self.biase,"] [",self.weights[i],"]")
def step_Activator(self, threshold):