Precetron.py

# Single Perceptron
import decimal
import random


def randfloat():
    decimal.getcontext().prec = 3  # 3decimal points enough
    return decimal.Decimal(0) + decimal.Decimal(random.uniform(-1, 1))


inputs = [7, 9, 86, 6, 10]
weight = []
''' Generating Random Weights '''
for x in range(len(inputs)):
    weight.append(randfloat())
print(weight)
''' Assign weights to all inputs and their sum'''
new_inputs = sum([inputs[x] * weight[x] for x in range(len(inputs))])

''' Activation function || Step Functions '''
if new_inputs > 0:
    print(1)
else:
    print(-1)