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Docstrings and expand tests #10
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Original file line number | Diff line number | Diff line change |
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@@ -37,6 +37,9 @@ def _all_dimensions() -> Iterator[type[core.ValueWithDimension]]: | |
|
||
@pytest.mark.parametrize('dimension', _ALL_DIMENSIONS) | ||
def test_arithmetic_ops_preserve_type(dimension: type[core.ValueWithDimension]) -> None: | ||
""" | ||
addition, subtraction and multiplication by scalars preserve the dimensions | ||
""" | ||
u = dimension(dimension.valid_base_units()[0]) | ||
a = u * 2 | ||
b = u * 3 | ||
|
@@ -61,6 +64,10 @@ def test_arithmetic_ops_preserve_type(dimension: type[core.ValueWithDimension]) | |
def test_arithmetic_ops_preserve_type_array( | ||
dimension: type[core.ValueWithDimension], | ||
) -> None: | ||
""" | ||
addition, subtraction and multiplication by scalars preserve the dimensions | ||
even when it is an array of multiple such elements | ||
""" | ||
u = dimension(dimension.valid_base_units()[0]) | ||
a = u * [2, 3] | ||
b = u * [5, 7] | ||
|
@@ -79,3 +86,35 @@ def test_arithmetic_ops_preserve_type_array( | |
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||
c = a / 11 | ||
assert all(c == u * [2 / 11, 3 / 11]) | ||
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@pytest.mark.parametrize('dimension', _ALL_DIMENSIONS) | ||
def test_arithmetic_ops_preserve_type_multi_array( | ||
dimension: type[core.ValueWithDimension], | ||
) -> None: | ||
""" | ||
addition, subtraction and multiplication by scalars preserve the dimensions | ||
even when it is a multidimensional array of multiple such elements | ||
""" | ||
u = dimension(dimension.valid_base_units()[0]) | ||
a = u * [[2, 3], [4, 9]] | ||
b = u * [[5, 7], [8, 5]] | ||
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# Declare with correct type so that mypy knows the type to compare to. | ||
c = u * [[1.0, 1.0], [1.0, 1.0]] | ||
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c = a + b | ||
should_all_true = c == u * [[7.0, 10.0], [12.0, 14.0]] | ||
assert should_all_true.all().all() | ||
There was a problem hiding this comment. Choose a reason for hiding this commentThe reason will be displayed to describe this comment to others. Learn more. a single |
||
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||
c = a - b | ||
should_all_true = c == u * [[-3.0, -4.0], [-4.0, 4.0]] | ||
assert should_all_true.all().all() | ||
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||
c = a * 7 | ||
should_all_true = c == u * [[14.0, 21.0], [28.0, 63.0]] | ||
assert should_all_true.all().all() | ||
|
||
c = a / 11 | ||
should_all_true = c == u * [[2 / 11, 3 / 11], [4 / 11, 9 / 11]] | ||
assert should_all_true.all().all() |
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from TypedUnits perspective there is no difference between a 1-D array and a multidimensional, both are a numpy.ndarray so this case is implicitly covered by the tests.
We can consider explicitly testing for this though but for that please improve the test.