   
# -*- coding: utf-8 -*-

from stl import mesh
# from mpl_toolkits import mplot3d
import matplotlib.pyplot as plt 
import numpy as np
import math
from sklearn.linear_model import LinearRegression
import os
import sys

def main():

    arr = np.random.rand(3)

    print(arr)
    print(np.sum(arr))

    arr /= np.sum(arr)

    print(arr)
    print(np.sum(arr))


if __name__ == "__main__":
    main()
cb44c8d8869de7fb38f5b7e4e7baf4c11d90dff4
<mask token>

<mask token>


def main():
    arr = np.random.rand(3)
    print(arr)
    print(np.sum(arr))
    arr /= np.sum(arr)
    print(arr)
    print(np.sum(arr))


<mask token>

<mask token>


def main():
    arr = np.random.rand(3)
    print(arr)
    print(np.sum(arr))
    arr /= np.sum(arr)
    print(arr)
    print(np.sum(arr))


if __name__ == '__main__':
    main()

from stl import mesh
import matplotlib.pyplot as plt
import numpy as np
import math
from sklearn.linear_model import LinearRegression
import os
import sys


def main():
    arr = np.random.rand(3)
    print(arr)
    print(np.sum(arr))
    arr /= np.sum(arr)
    print(arr)
    print(np.sum(arr))


if __name__ == '__main__':
    main()

   
# -*- coding: utf-8 -*-

from stl import mesh
# from mpl_toolkits import mplot3d
import matplotlib.pyplot as plt 
import numpy as np
import math
from sklearn.linear_model import LinearRegression
import os
import sys

def main():

    arr = np.random.rand(3)

    print(arr)
    print(np.sum(arr))

    arr /= np.sum(arr)

    print(arr)
    print(np.sum(arr))


if __name__ == "__main__":
    main()