def test_mutate_parent_2():
from network import Network
n1 = Network([((3, 3), 16), 32, 'drop0.30', 128, 'drop0.30', 32])
n2 = Network([((3, 3), 16), 32, 'drop0.30', 32])
print([i.arch for i in Network._mutate_parent_2(n1, n2)])
n1 = Network([((3, 3), 16), ((7, 7), 16),
'max', ((3, 3), 16), ((3, 3), 16), ((3, 3), 16), 'max',
((3, 3), 8), 32, 'drop0.30', 128, 'drop0.30', 32])
n2 = Network([((3, 3), 16), ((7, 7), 16),
'max', ((3, 3), 16), ((3, 3), 16), ((3, 3), 16), 'max',
((3, 3), 8), 32, 'drop0.30', 128, 'drop0.30', 32])
print([i.arch for i in Network._mutate_parent_2(n1, n2)])
n1 = Network([((5, 5), 16), ((5, 5), 16), ((5, 5), 16), 'max', ((5, 5), 8),
((5, 5), 8), ((5, 5), 8), 'max', ((3, 3), 16), 32, 32,
'drop0.60', 16, 'drop0.50', 128])
n2 = Network([((3, 3), 16), ((3, 3), 16), ((3, 3), 16), 'max', ((5, 5), 8),
((5, 5), 8), ((5, 5), 8), 'max', ((5, 5), 8), 128, 64,
'drop0.70', 128, 'drop0.30', 128])
print([i.arch for i in Network._mutate_parent_2(n1, n2)])
n1 = Network([((5, 5), 16), ((5, 5), 16), ((5, 5), 16),
'max', ((5, 5), 16), ((5, 5), 16), ((5, 5), 16), 'max',
((5, 5), 16), 128, 16, 'drop0.40', 64, 'drop0.60', 64,
'drop0.50', 128, 'drop0.40', 128, 'drop0.40', 32, 'drop0.40',
128])
n2 = Network([((3, 3), 8), ((3, 3), 8), ((3, 3), 8), 'max', ((3, 3), 8),
128, 16, 'drop0.40', 64, 'drop0.60', 64, 'drop0.50', 128,
'drop0.40', 128, 'drop0.40', 32, 'drop0.40', 128])
print([i.arch for i in Network._mutate_parent_2(n1, n2)])
def test_quick():
from network import Network
import pandas as pd
n1 = Network([((5, 5), 8), ((5, 5), 8), ((5, 5), 8), 'max', ((5, 5), 16),
((5, 5), 16), ((5, 5), 16), ((5, 5), 16), ((5, 5), 8),
((5, 5), 8), ((5, 5), 8), 'max', ((5, 5), 16), ((5, 5), 8),
((5, 5), 8), ((5, 5), 8), 'max', ((5, 5), 16), ((5, 5), 16),
((5, 5), 16), 32, 16, 16])
n2 = Network([((5, 5), 8), ((5, 5), 8), ((5, 5), 8), ((5, 5), 8),
((5, 5), 8), ((5, 5), 8), 'max', ((5, 5), 16), ((5, 5), 16),
((5, 5), 16), ((5, 5), 16), ((5, 5), 16), ((5, 5), 8),
((5, 5), 8), ((5, 5), 8), 'max', ((5, 5), 16), ((5, 5), 8),
((5, 5), 8), ((5, 5), 8), 'max', ((5, 5), 16), ((5, 5), 16),
((5, 5), 16), ((5, 5), 16), ((5, 5), 8), ((5, 5), 8),
((5, 5), 8), 'max', ((5, 5), 16), ((5, 5), 16), ((5, 5), 16),
32, 16, 16, 32, 16, 64, 'drop0.40', 16, 32])
print(pd.Series(n1.arch))
print(pd.Series(n2.arch))
print([i.arch for i in Network._mutate_parent_2(n1, n2)])
