def classify_with_random_network_test():
# given
pysbp.init()
pysbp.add_layer([0.5, 0.5, 0.5])
# when
answer = pysbp.classify([1, 0])
# then
assert all(a >= 0.0 and a <= 1.0 for a in answer),\
"Some values in {} aren't from range [0,1]".format(answer)
def load_xor_network_and_classify_test():
# given
pysbp.init()
pysbp.add_layer([43.259, 43.268, -66.366], [65.075, 65.101, -27.079])
pysbp.add_layer([-29.041, 27.2972, -5.0622])
examples = [[[0.0, 0.0], [0.0]],
[[1.0, 0.0], [1.0]],
[[0.0, 1.0], [1.0]],
[[1.0, 1.0], [0.0]]]
# when
def check_examples(input, output):
answer = pysbp.classify(input)
assert abs(answer[0] - output[0]) < EPS, \
"Network answer for {} should be {}, not {}".format(
input, output, answer)
# then
for input, output in examples:
yield check_examples, input, output
