def test_weightloss(self, mocker):
"""Tests that the weight is updated according to the weightloss method.
The mocker is used to give spesific values from random functions used
in the module.
"""
mocker.patch("numpy.random.normal", return_value=1)
h = Herb()
h.weightloss()
assert h.weight == 1 - h.eta * 1
h.weight = 100000
c = Carn()
c.weight = 100000
weight_list_herb = []
weight_list_carn = []
for _ in range(100):
weight_list_herb.append(h.weight)
weight_list_carn.append(c.weight)
h.weightloss()
c.weightloss()
assert all([
weight1 > weight2 for weight1, weight2 in zip(
weight_list_herb[:-1], weight_list_herb[1:])
]), "The weight does not decrease in the list when weightloss is used"
assert all([
weight1 > weight2 for weight1, weight2 in zip(
weight_list_carn[:-1], weight_list_carn[1:])
]), "The weight does not decrease in the list when weightloss is used"
def test_weightloss(self, mocker):
mocker.patch('numpy.random.normal', return_value=1)
h = Herb()
h.weightloss()
assert h.weight == 1 - h.eta * 1
h.weight = 100000
c = Carn()
c.weight = 100000
weight_list_herb = []
weight_list_carn = []
for _ in range(100):
weight_list_herb.append(h.weight)
weight_list_carn.append(c.weight)
h.weightloss()
c.weightloss()
assert all([
weight1 > weight2 for weight1, weight2 in zip(
weight_list_herb[:-1], weight_list_herb[1:])
])
assert all([
weight1 > weight2 for weight1, weight2 in zip(
weight_list_carn[:-1], weight_list_carn[1:])
])
