- extend `pytest` with an option to run only the minimum number
of (unit) test cases to just keep the coverage at 100%
- rationale:
+ many of the unit test cases partly overlap with
respect to the lines of source code executed
+ also, integration tests, by definition, do not
contribute to a higher test coverage
- implementation: mark "redundant" test cases as one of:
+ `pytest.mark.integration_test`
=> code usage from the perspective of the end user
+ `pytest.mark.overlapping_test`
=> tests not contributing to the 100% coverage
+ `pytest.mark.sanity_test`
=> tests providing confidence in the test data
- add `tests.conftest` module
=> programatically convert the above markers into
`@pytest.mark.no_cover` and collect the non-"redundant" tests
- add nox session "test-fast" to run only the minimum
number of (unit) test while holding coverage at 100%
- refactor some test modules
+ wrap some test cases in a class
+ move sanity tests to the end of the files
104 lines
3.3 KiB
Python
104 lines
3.3 KiB
Python
"""Tests for the `lalib.fields.galois.GaloisField2` only."""
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import itertools
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import pytest
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from lalib import fields
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from tests.fields import utils
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# None of the test cases below contributes towards higher coverage
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pytestmark = pytest.mark.overlapping_test
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GF2 = fields.GF2
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class TestCastAndValidateFieldElements:
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"""Test specifics for `GF2.cast()` and `GF2.validate()`."""
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@pytest.mark.parametrize("value", utils.NUMBERS)
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def test_number_is_field_element(self, value):
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"""Common numbers are always `GF2` elements in non-`strict` mode."""
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left = GF2.cast(value, strict=False)
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right = bool(value)
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assert left == right
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assert GF2.validate(value, strict=False)
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@pytest.mark.parametrize("value", utils.ONES_N_ZEROS)
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def test_one_and_zero_number_is_field_element(self, value):
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"""`1`-like and `0`-like `value`s are `GF2` elements."""
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utils.is_field_element(GF2, value)
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@pytest.mark.parametrize("pre_value", [1, 0])
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def test_complex_number_is_field_element(self, pre_value):
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"""By design, `GF2` can process `complex` numbers."""
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value = complex(pre_value, 0)
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utils.is_field_element(GF2, value)
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@pytest.mark.parametrize("pre_value", [+42, -42])
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def test_complex_number_is_not_field_element(self, pre_value):
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"""By design, `GF2` can process `complex` numbers ...
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... but they must be `one`-like or `zero`-like
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to become a `GF2` element.
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"""
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value = complex(pre_value, 0)
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utils.is_not_field_element(GF2, value)
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@pytest.mark.parametrize("pre_value", ["NaN", "+inf", "-inf"])
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def test_non_finite_complex_number_is_not_field_element(self, pre_value):
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"""For now, we only allow finite numbers as field elements.
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This also holds true for `complex` numbers
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with a non-finite `.real` part.
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"""
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value = complex(pre_value)
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utils.is_not_field_element(GF2, value)
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class TestIsZero:
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"""Test specifics for `GF2.zero` and `GF2.is_zero()`."""
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def test_is_slightly_not_zero(self):
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"""`value` is not within an acceptable threshold of `GF2.zero`."""
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value = 0.0 + utils.NOT_WITHIN_THRESHOLD
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assert GF2.zero != value
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with pytest.raises(ValueError, match="not an element of the field"):
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GF2.is_zero(value)
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class TestIsOne:
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"""Test specifics for `GF2.one` and `GF2.is_one()`."""
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def test_is_slightly_not_one(self):
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"""`value` is not within an acceptable threshold of `GF2.one`."""
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value = 1.0 + utils.NOT_WITHIN_THRESHOLD
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assert GF2.one != value
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with pytest.raises(ValueError, match="not an element of the field"):
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GF2.is_one(value)
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@pytest.mark.repeat(utils.N_RANDOM_DRAWS)
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class TestDrawRandomFieldElement:
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"""Test specifics for `GF2.random()`."""
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@pytest.mark.parametrize("bounds", itertools.product([0, 1], repeat=2))
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def test_draw_element_with_custom_bounds(self, bounds):
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"""Draw a random element from `GF2` in non-`strict` mode ...
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... within the bounds passed in as arguments.
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"""
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lower, upper = bounds
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element = GF2.random(lower=lower, upper=upper)
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if upper < lower:
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lower, upper = upper, lower
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assert lower <= element <= upper
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