Приложение 2

import numpy as np
import random

a = list(np.load('H3K9me3/peaksATGC.npy'))
for i in range(len(a)):
    a[i] = a[i][0:4, 250:750]
np.save('peaksATGC', a)

peaks = list(np.load('H3K9me3NotPeaksATGCChr1.npy'))

x_test = []
x_validation = []
x_train = []
b = list(range(len(peaks)))
for i in range(len(peaks)//10):
    r = random.choice(b)
    b.remove(r)
    x_test.append(peaks[r])
for i in range(len(peaks)//5):
    r = random.choice(b)
    b.remove(r)
    x_validation.append(peaks[r])
for i in range (len(peaks) - len(x_test) - len(x_validation) - 1):
    r = random.choice(b)
    b.remove(r)
    x_train.append(peaks[r])
np.save('X_zeroes_train', x_train)
np.save('X_zeroes_test', x_test)
np.save('X_zeroes_validation', x_validation)

h = np.load('X_ones_train.npy')