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Verified Commit df114fb3 authored by Björn Ludwig's avatar Björn Ludwig
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test(test dataset): introduce tests for idx_start and one missing for normalize

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......@@ -254,7 +254,11 @@ def test_cache_path_expects_stats_to_return_path() -> None:
assert signature(ZeMASamples._cache_path).return_annotation is Path
def test_dataset_extract_samples_expects_parameter_n_samples() -> None:
def test_zema_samples_expects_parameter_idx_start() -> None:
assert "idx_start" in signature(ZeMASamples).parameters
def test_zema_samples_expects_parameter_n_samples() -> None:
assert "n_samples" in signature(ZeMASamples).parameters
......@@ -262,10 +266,22 @@ def test_zema_samples_expects_parameter_size_scaler() -> None:
assert "size_scaler" in signature(ZeMASamples).parameters
def test_dataset_extract_samples_expects_parameter_n_samples_as_int() -> None:
def test_zema_samples_expects_parameter_normalize() -> None:
assert "normalize" in signature(ZeMASamples).parameters
def test_zema_samples_expects_parameter_n_samples_as_int() -> None:
assert signature(ZeMASamples).parameters["n_samples"].annotation is int
def test_zema_samples_expects_parameter_idx_start_as_int() -> None:
assert signature(ZeMASamples).parameters["idx_start"].annotation is int
def test_zema_samples_expects_parameter_normalize_as_bool() -> None:
assert signature(ZeMASamples).parameters["normalize"].annotation is bool
def test_dataset_zema_samples_expects_parameter_size_scaler_as_int() -> None:
assert signature(ZeMASamples).parameters["size_scaler"].annotation is int
......@@ -274,7 +290,15 @@ def test_zema_samples_parameter_n_samples_default_is_one() -> None:
assert signature(ZeMASamples).parameters["n_samples"].default == 1
def test_dataset_extract_samples_parameter_size_scaler_default_is_one() -> None:
def test_zema_samples_parameter_idx_start_default_is_zero() -> None:
assert signature(ZeMASamples).parameters["idx_start"].default == 0
def test_zema_samples_parameter_normalize_default_is_false() -> None:
assert not signature(ZeMASamples).parameters["normalize"].default
def test_zema_samples_parameter_size_scaler_default_is_one() -> None:
assert signature(ZeMASamples).parameters["size_scaler"].default == 1
......@@ -360,7 +384,11 @@ def test_extract_samples_returns_values_and_uncertainties_which_are_not_similar(
@pytest.mark.webtest
def test_zema_samples_fails_for_more_than_4766_samples() -> None:
@given(hst.integers(min_value=1, max_value=10000))
@settings(deadline=None)
def test_zema_samples_fails_for_more_than_4766_samples(
n_samples_above_max: int,
) -> None:
with pytest.raises(
ValueError,
match=r"all the input array dimensions except for the concatenation axis must "
......@@ -396,3 +424,18 @@ def test_zema_samples_normalized_std_is_smaller_or_equal(
normalized_result = ZeMASamples(n_samples, size_scaler, True)
not_normalized_result = ZeMASamples(n_samples, size_scaler)
assert not_normalized_result.values.std() >= normalized_result.values.std()
@pytest.mark.webtest
@given(
small_positive_integers,
small_positive_integers,
hst.booleans(),
hst.integers(min_value=1, max_value=9),
)
@settings(deadline=None)
def test_zema_samples_cache_path_contains_starting_from_for_larger_than_zero_startpoint(
n_samples: int, size_scaler: int, normalize: bool, idx_start: int
) -> None:
zema_samples = ZeMASamples(n_samples, size_scaler, normalize, idx_start)
assert "_starting_from_" in str(zema_samples._cache_path(normalize))
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