EnergeticDimMap created by anonymous - https://repl.it/repls/EnergeticDimMap

main.py

import numpy as np
import random

def round(x):
  large = int(x+1)
  if large-x <= .5:
    return large
  else:
    return int(x)

def round_array(x):
  for i in range(len(x)):
    x[i] = round(x[i])

def softmax(x):
  return np.exp(x) / np.sum(np.exp(x))

def percent(x, val=100):
  if val == 100:
    return x
  else:
    return ((x*100)/val)

def truncate(x, val=100):
  return int(x*100)/val

test = np.random.rand(5, 1)
test = softmax(test)
print(test)
test = percent(test, 1)

# round_array(test)

print(test)
print(np.sum(test))