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def _crossover(self, x, y): | |
offspring_x = x | |
offspring_y = y | |
for a in range(0, len(offspring_x)): # 10 | |
a_layer = offspring_x[a] | |
for b in range(0, len(a_layer)): # 8 | |
b_layer = a_layer[b] | |
if not isinstance(b_layer, np.ndarray): | |
if random.choice([True, False]): | |
offspring_x[a][b] = y[a][b] | |
offspring_y[a][b] = x[a][b] | |
continue | |
for c in range(0, len(b_layer)): # 8 | |
c_layer = b_layer[c] | |
if not isinstance(c_layer, np.ndarray): | |
if random.choice([True, False]): | |
offspring_x[a][b][c] = y[a][b][c] | |
offspring_y[a][b][c] = x[a][b][c] | |
continue | |
for d in range(0, len(c_layer)): # 4 | |
d_layer = c_layer[d] | |
for e in range(0, len(d_layer)): # 32 | |
if random.choice([True, False]): | |
offspring_x[a][b][c][d][e] = y[a][b][c][d][e] | |
offspring_y[a][b][c][d][e] = x[a][b][c][d][e] | |
return offspring_x, offspring_y |
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