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chore: Remove obsolete skips in tests #362

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merged 2 commits into from
Jan 20, 2025
Merged

chore: Remove obsolete skips in tests #362

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f2b7677
chore: Remove obsolete skips in tests
jdeschamps Jan 17, 2025
1c2d753
Merge branch 'main' into jd/chore/remove_skip
jdeschamps Jan 20, 2025
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11 changes: 0 additions & 11 deletions tests/test_careamist.py
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Original file line number Diff line number Diff line change
Expand Up @@ -87,7 +87,6 @@ def test_train_error_target_unsupervised_algorithm(
)


@pytest.mark.skip(reason="bmz")
def test_train_single_array_no_val(tmp_path: Path, minimum_n2v_configuration: dict):
"""Test that CAREamics can be trained with arrays."""
# training data
Expand Down Expand Up @@ -122,7 +121,6 @@ def test_train_single_array_no_val(tmp_path: Path, minimum_n2v_configuration: di
assert (tmp_path / "model.zip").exists()


@pytest.mark.skip(reason="bmz")
def test_train_array(tmp_path: Path, minimum_n2v_configuration: dict):
"""Test that CAREamics can be trained on arrays."""
# training data
Expand Down Expand Up @@ -158,7 +156,6 @@ def test_train_array(tmp_path: Path, minimum_n2v_configuration: dict):
assert (tmp_path / "model.zip").exists()


@pytest.mark.skip(reason="bmz")
@pytest.mark.parametrize("independent_channels", [False, True])
def test_train_array_channel(
tmp_path: Path, minimum_n2v_configuration: dict, independent_channels: bool
Expand Down Expand Up @@ -201,7 +198,6 @@ def test_train_array_channel(
assert (tmp_path / "model.zip").exists()


@pytest.mark.skip(reason="bmz")
def test_train_array_3d(tmp_path: Path, minimum_n2v_configuration: dict):
"""Test that CAREamics can be trained on 3D arrays."""
# training data
Expand Down Expand Up @@ -237,7 +233,6 @@ def test_train_array_3d(tmp_path: Path, minimum_n2v_configuration: dict):
assert (tmp_path / "model.zip").exists()


@pytest.mark.skip(reason="bmz")
def test_train_tiff_files_in_memory_no_val(
tmp_path: Path, minimum_n2v_configuration: dict
):
Expand Down Expand Up @@ -278,7 +273,6 @@ def test_train_tiff_files_in_memory_no_val(
assert (tmp_path / "model.zip").exists()


@pytest.mark.skip(reason="bmz")
def test_train_tiff_files_in_memory(tmp_path: Path, minimum_n2v_configuration: dict):
"""Test that CAREamics can be trained with tiff files in memory."""
# training data
Expand Down Expand Up @@ -365,7 +359,6 @@ def test_train_tiff_files(tmp_path: Path, minimum_n2v_configuration: dict):
assert (tmp_path / "model.zip").exists()


@pytest.mark.skip(reason="bmz")
def test_train_array_supervised(tmp_path: Path, minimum_supervised_configuration: dict):
"""Test that CAREamics can be trained with arrays."""
# training data
Expand Down Expand Up @@ -408,7 +401,6 @@ def test_train_array_supervised(tmp_path: Path, minimum_supervised_configuration
assert (tmp_path / "model.zip").exists()


@pytest.mark.skip(reason="bmz")
def test_train_tiff_files_in_memory_supervised(
tmp_path: Path, minimum_supervised_configuration: dict
):
Expand Down Expand Up @@ -534,7 +526,6 @@ def test_train_tiff_files_supervised(
assert (tmp_path / "model.zip").exists()


@pytest.mark.skip(reason="bmz")
@pytest.mark.parametrize("samples", [1, 2, 4])
@pytest.mark.parametrize("batch_size", [1, 2])
def test_predict_on_array_tiled(
Expand Down Expand Up @@ -580,7 +571,6 @@ def test_predict_on_array_tiled(
assert (tmp_path / "model.zip").exists()


@pytest.mark.skip(reason="bmz")
@pytest.mark.parametrize("samples", [1, 2, 4])
@pytest.mark.parametrize("batch_size", [1, 2])
def test_predict_arrays_no_tiling(
Expand Down Expand Up @@ -703,7 +693,6 @@ def test_predict_tiled_channel(
)


@pytest.mark.skip(reason="bmz")
@pytest.mark.parametrize("tiled", [True, False])
@pytest.mark.parametrize("n_samples", [1, 2])
@pytest.mark.parametrize("batch_size", [1, 2])
Expand Down
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