test_termination_condition_adapter.test_objects() - Code Metrics - Inspection of "fix(network-build): fix commands to build and setu..." - boromir674/neural-style-transfer - Measure and Improve Code Quality continuously with Scrutinizer

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Push — master ( 87fd0f...6004a9 )

by Konstantinos

created 2021-11-09 00:21 UTC

test_termination_condition_adapter.test_objects() A

↳ Parent: test_termination_condition_adapter

Complexity

Conditions

Size

Total Lines	6
Code Lines	6

Duplication

Lines	0
Ratio	0 %

Importance

Changes

Metric	Value
eloc	6
dl	0
loc	6
rs	10
c	0
b	0
f	0
cc	2
nop	2

import pytest

@pytest.fixture
def termination_condition_adapter(termination_condition):
    from neural_style_transfer.termination_condition_adapter import TerminationConditionAdapterFactory
    termination_condition_instance = termination_condition('max-iterations', 4)
    return TerminationConditionAdapterFactory.create('max-iterations', termination_condition_instance)


@pytest.fixture
def broadcaster_class():
    class TestSubject:
        def __init__(self, subject, done_callback):
            self.subject = subject
            self.done = done_callback

        def iterate(self):
            i = 0
            while not self.done():
                # do something in the current iteration
                print('Iteration with index', i)

                # notify when we have completed i+1 iterations
                self.subject.state = type('Subject', (), {
                    'metrics': {'iterations': i + 1},  # we have completed i+1 iterations
                }) 
                self.subject.notify()
                i += 1
            return i

    return TestSubject


@pytest.fixture
def test_objects(broadcaster_class, termination_condition_adapter):
    from neural_style_transfer.utils.notification import Subject
    return type('O', (), {
        'broadcaster': broadcaster_class(Subject(), lambda: termination_condition_adapter.satisfied),
        'adapter': termination_condition_adapter
    })


def test_adapter(test_objects):
    # subscribe adapter to broadcaster
    test_objects.broadcaster.subject.attach(test_objects.adapter)

    # select a loop function (from test implementations)

    # iterate
    iterations = test_objects.broadcaster.iterate()

    # assert iterations completed are the expected nb of oiterations
    assert iterations == 4


1			import pytest
2
3			@pytest.fixture
4			def termination_condition_adapter(termination_condition):
5			from neural_style_transfer.termination_condition_adapter import TerminationConditionAdapterFactory
6			termination_condition_instance = termination_condition('max-iterations', 4)
7			return TerminationConditionAdapterFactory.create('max-iterations', termination_condition_instance)
8
9
10			@pytest.fixture
11			def broadcaster_class():
12			class TestSubject:
13			def __init__(self, subject, done_callback):
14			self.subject = subject
15			self.done = done_callback
16
17			def iterate(self):
18			i = 0
19			while not self.done():
20			# do something in the current iteration
21			print('Iteration with index', i)
22
23			# notify when we have completed i+1 iterations
24			self.subject.state = type('Subject', (), {
25			'metrics': {'iterations': i + 1}, # we have completed i+1 iterations
26			})
27			self.subject.notify()
28			i += 1
29			return i
30
31			return TestSubject
32
33
34			@pytest.fixture
35			def test_objects(broadcaster_class, termination_condition_adapter):
36			from neural_style_transfer.utils.notification import Subject
37			return type('O', (), {
38			'broadcaster': broadcaster_class(Subject(), lambda: termination_condition_adapter.satisfied),
39			'adapter': termination_condition_adapter
40			})
41
42
43			def test_adapter(test_objects):
44			# subscribe adapter to broadcaster
45			test_objects.broadcaster.subject.attach(test_objects.adapter)
46
47			# select a loop function (from test implementations)
48
49			# iterate
50			iterations = test_objects.broadcaster.iterate()
51
52			# assert iterations completed are the expected nb of oiterations
53			assert iterations == 4
54

boromir674 / neural-style-transfer

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test_termination_condition_adapter.test_objects() A

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