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1
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import pytest |
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2
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3
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4
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@pytest.fixture |
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5
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def iterative_loop(): |
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6
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def _max_iterations_loop(termination_condition): |
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7
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i = 0 |
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8
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while not termination_condition.satisfied(i): |
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9
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print(f'_max_iterations_loop {i}') |
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10
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i += 1 |
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11
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return i |
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12
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13
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import time |
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14
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def _max_time_limit_loop(termination_condition): |
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15
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starting_time = time.time() |
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16
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i = 0 |
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17
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duration = 0 |
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18
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while not termination_condition.satisfied(duration): |
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19
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print(f'_max_time_limit_loop {i, duration}') |
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20
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duration += time.time() - starting_time |
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21
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i += 1 |
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22
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return i |
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23
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24
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def _convergence_loop(termination_condition): |
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25
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i = 0 |
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26
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cost_improvement = 100 |
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27
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while not termination_condition.satisfied(cost_improvement): |
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28
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print(f'_convergence_loop {i}') |
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29
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i += 1 |
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30
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cost_improvement *= 0.1 |
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31
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return i |
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32
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33
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condition_type_2_loop = { |
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34
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'max-iterations': _max_iterations_loop, |
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35
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'time-limit': _max_time_limit_loop, |
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36
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'convergence': _convergence_loop, |
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37
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} |
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38
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return condition_type_2_loop |
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39
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40
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41
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@pytest.fixture |
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42
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def monkeypatch_time(monkeypatch): |
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43
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def patch(base_time: float, step: float): |
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44
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def __call__(self): |
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45
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self.i += 1 |
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46
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return self.starting_timestamp + self.i * step |
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47
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mock_time_callable = type('TimeMock', (), { |
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48
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'__call__': __call__, |
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49
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'i': -1, |
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50
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'starting_timestamp': base_time, |
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51
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})() |
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52
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53
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import time |
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54
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monkeypatch.setattr(time, 'time', mock_time_callable) |
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55
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return patch |
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56
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57
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58
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@pytest.fixture(params=[ |
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59
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['max-iterations', [0], 0], |
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60
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['max-iterations', [2], 2], |
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61
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['time-limit', [1], 1], |
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62
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['time-limit', [2], 2], |
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63
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['convergence', [0.01], 5], |
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64
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]) |
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65
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def termination_condition_data(request, termination_condition, iterative_loop, monkeypatch_time): |
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66
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monkeypatch_time(100, 1) |
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67
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return type('D', (), { |
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68
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'termination_condition': termination_condition(request.param[0], *request.param[1]), |
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69
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'loop': iterative_loop[request.param[0]], |
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70
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'expected_completed_iterations': request.param[2], |
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71
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}) |
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72
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73
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def test_term(termination_condition_data): |
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74
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iterations = termination_condition_data.loop(termination_condition_data.termination_condition) |
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75
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assert iterations == termination_condition_data.expected_completed_iterations |
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76
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boromir674 /
neural-style-transfer
