def test_interval_f(client):
data = {
'x': Interval(1, 2),
'y': Interval(2, 3),
'z': Interval(3, 4)
}
url = '/process_request?field=f&scope=interval'
for k, v in data.items():
url += '&{0}={1}'.format(k, json.dumps(v))
response = client.get(url)
output = Interval.from_dict(json.loads(response.data))
assert response.status_code == 200
assert output == Interval(36.0, 70.0)
def test_interval_derivatives():
assert almost_equal_interval(core.request('df_x',
{'x': Interval(3, 4),
'y': Interval.from_value(2),
'z': Interval.from_value(3)}),
Interval(6, 8))
assert almost_equal_interval(core.request('df_y',
{'x': Interval.from_value(1),
'y': Interval(-2, 1),
'z': Interval.from_value(3)}),
Interval(-8, 4))
assert almost_equal_interval(core.request('df_z',
{'x': Interval.from_value(1),
'y': Interval.from_value(2),
'z': Interval.from_value(11)}),
Interval.from_value(66.0))
def test_interval_df(client):
data = {
'x': Interval(3, 4),
'y': Interval(-2, 1),
'z': Interval.from_value(11)
}
url = '/process_request?field=df_grad&scope=interval'
for k, v in data.items():
url += '&{0}={1}'.format(k, json.dumps(v))
response = client.get(url)
output = list(map(Interval.from_dict, json.loads(response.data)))
assert response.status_code == 200
assert output[0] == Interval(6, 8)
assert output[1] == Interval(-8, 4)
assert output[2] == Interval.from_value(66.0)
def test_interval_gradient():
grad = core.request('df_grad', {'z': Interval.from_value(11), 'x': Interval(3, 4), 'y': Interval(-2, 1)})
assert almost_equal_interval(grad[0], Interval(6, 8))
assert almost_equal_interval(grad[1], Interval(-8, 4))
assert almost_equal_interval(grad[2], Interval.from_value(66.0))
def test_interval_calculation():
assert almost_equal_interval(core.request('f', {'x': Interval(1, 2), 'y': Interval(2, 3), 'z': Interval(3, 4)}), Interval(36.0, 70.0))