Allow a minimal test build (no specutils or dask)

Author: Cadair

.github/workflows/ci.yml

@@ -28,7 +28,7 @@ jobs:
       coverage: codecov
       toxdeps: tox-pypi-filter
       envs: |
-        - linux: py313
+        - linux: py313-minimal
     secrets:
       CODECOV_TOKEN: ${{ secrets.CODECOV_TOKEN }}
 

ndcube/conftest.py

@@ -4,7 +4,6 @@
 """
 import logging
 
-import dask.array
 import numpy as np
 import pytest
 from gwcs import coordinate_frames as cf
@@ -1041,15 +1040,16 @@ def ndcube_2d_ln_lt_unit_unc_mask(wcs_2d_lt_ln):
 
 @pytest.fixture
 def ndcube_2d_dask(wcs_2d_lt_ln):
+    da = pytest.importorskip("dask.array")
     shape = (8, 4)
     chunks = 2
     data = data_nd(shape).astype(float)
-    da = dask.array.asarray(data, chunks=chunks)
+    darr = da.asarray(data, chunks=chunks)
     mask = np.zeros(shape, dtype=bool)
-    da_mask = dask.array.asarray(mask, chunks=chunks)
+    da_mask = da.asarray(mask, chunks=chunks)
     uncert = data * 0.1
-    da_uncert = StdDevUncertainty(dask.array.asarray(uncert, chunks=chunks))
-    return NDCube(da, wcs=wcs_2d_lt_ln, uncertainty=da_uncert, mask=da_mask, unit=u.J)
+    da_uncert = StdDevUncertainty(da.asarray(uncert, chunks=chunks))
+    return NDCube(darr, wcs=wcs_2d_lt_ln, uncertainty=da_uncert, mask=da_mask, unit=u.J)
 
 
 @pytest.fixture

ndcube/tests/test_ndcube.py

@@ -1,6 +1,5 @@
 from inspect import signature
 
-import dask.array
 import numpy as np
 import pytest
 
@@ -73,8 +72,9 @@ def test_to(ndcube_1d_l, new_unit):
 
 
 def test_to_dask(ndcube_2d_dask):
+    da = pytest.importorskip("dask.array")
     output = ndcube_2d_dask.to(u.mJ)
-    dask_type = dask.array.core.Array
+    dask_type = da.core.Array
     assert isinstance(output.data, dask_type)
     assert isinstance(output.uncertainty.array, dask_type)
     assert isinstance(output.mask, dask_type)
@@ -103,14 +103,15 @@ def test_ndcube_quantity(ndcube_2d_ln_lt_units):
 
 
 def test_data_setter(ndcube_4d_ln_l_t_lt):
+    da = pytest.importorskip("dask.array")
     cube = ndcube_4d_ln_l_t_lt
     assert isinstance(cube.data, np.ndarray)
 
     new_data = np.zeros_like(cube.data)
     cube.data = new_data
     assert cube.data is new_data
 
-    dask_array = dask.array.zeros_like(cube.data)
+    dask_array = da.zeros_like(cube.data)
     cube.data = dask_array
     assert cube.data is dask_array
 

ndcube/tests/test_ndcube_reproject_and_rebin.py

@@ -1,15 +1,9 @@
 import re
 import copy
 
-import dask.array
 import numpy as np
 import pytest
 
-try:
-    from specutils import Spectrum
-except ImportError:
-    from specutils import Spectrum1D as Spectrum
-
 import astropy.units as u
 import astropy.wcs
 from astropy.coordinates import SpectralCoord
@@ -167,11 +161,12 @@ def test_rebin(ndcube_3d_l_ln_lt_ectime, bin_shape):
 
 
 def test_rebin_dask(ndcube_2d_dask):
+    da = pytest.importorskip("dask.array")
     # Execute rebin.
     cube = ndcube_2d_dask
     bin_shape = (4, 2)
     output = cube.rebin(bin_shape, propagate_uncertainties=True)
-    dask_type = dask.array.core.Array
+    dask_type = da.core.Array
     assert isinstance(output.data, dask_type)
     assert isinstance(output.uncertainty.array, dask_type)
     assert isinstance(output.mask, dask_type)
@@ -312,7 +307,12 @@ def test_rebin_axis_aware_meta(ndcube_4d_axis_aware_meta):
 
 
 def test_rebin_specutils():
+    pytest.importorskip("specutils")
     # Tests for https://github.com/sunpy/ndcube/issues/717
+    try:
+        from specutils import Spectrum  # noqa PLC0415
+    except ImportError:
+        from specutils import Spectrum1D as Spectrum  # noqa PLC0415
     y = np.arange(4000)*u.ct
     x = np.arange(200, 4200)*u.nm
     spec = Spectrum(flux=y, spectral_axis=x, bin_specification='centers', mask=x > 2000*u.nm)

pyproject.toml

@@ -40,6 +40,10 @@ tests-only = [
   "pytest",
   "pytest-memray; sys_platform != 'win32'",
 ]
+tests-minimal = [
+  "ndcube[plotting,reproject,tests-only]",
+  "sunpy>=6.1.0",
+]
 tests = [
   "ndcube[plotting,reproject,tests-only,tests-optional,asdf-tests]",
 ]

tox.ini

@@ -4,6 +4,7 @@ requires =
     tox-pypi-filter>=0.14
 envlist =
     py{311,312,313,314}
+    py313-minimal
     py314-devdeps
     py311-oldestdeps
     codestyle
@@ -63,8 +64,8 @@ deps =
     figure-!devdeps: scipy
 # The following indicates which extras_require will be installed
 extras =
-    !oldestdeps: tests
-    oldestdeps: tests-only
+    minimal: tests-minimal
+    !minimal: tests
 commands_pre =
     oldestdeps: minimum_dependencies ndcube --extras plotting reproject asdf tests-optional --filename requirements-min.txt
     oldestdeps: pip install -r requirements-min.txt