Use nosetests, aligning with recipe

Author: oleksandr-pavlyk

.github/workflows/conda-package.yml

@@ -107,11 +107,11 @@ jobs:
       - name: Install mkl_fft
         run: |
           CHANNELS="-c $GITHUB_WORKSPACE/channel ${{ env.CHANNELS }}"
-          conda create -n test_mkl_fft python=${{ matrix.python }} "libffi>=3.4" $PACKAGE_NAME pytest $CHANNELS
+          conda create -n test_mkl_fft python=${{ matrix.python }} $PACKAGE_NAME pytest $CHANNELS
           # Test installed packages
           conda list -n test_mkl_fft
       - name: Run tests
         run: |
           source $CONDA/etc/profile.d/conda.sh
           conda activate test_mkl_fft
-          python -m pytest --pyargs $MODULE_NAME
+          pytest -v --pyargs $MODULE_NAME

conda-recipe/meta.yaml

@@ -1,5 +1,5 @@
-{% set version = "1.3.0" %}
-{% set buildnumber = 1 %}
+{% set version = "1.3.1" %}
+{% set buildnumber = 0 %}
 
 package:
     name: mkl_fft
@@ -21,7 +21,6 @@ requirements:
       - setuptools
       - mkl-devel
       - cython
-      - blas=*=mkl
       - numpy-base
     run:
       - python
@@ -31,9 +30,9 @@ requirements:
 
 test:
     commands:
-      - nosetests -v mkl_fft
+      - pytest -v --args mkl_fft
     requires:
-      - nose
+      - pytest
     imports:
       - mkl_fft
       - mkl_fft.interface

mkl_fft/_scipy_fft_backend.py

@@ -204,7 +204,7 @@ def _compute_nd_forward_scale(norm, s, axes, x_shape):
     elif norm == "forward":
         fsc = _frwd_sc_nd(s, axes, x_shape)
     elif norm == "ortho":
-        fsc = sqrt(_frwd_sc_nd(s, axes, x-shape))
+        fsc = sqrt(_frwd_sc_nd(s, axes, x_shape))
     else:
         _check_norm(norm)
     return fsc

mkl_fft/tests/test_interfaces.py

@@ -26,6 +26,7 @@
 
 import mkl_fft.interfaces as mfi
 import pytest
+import numpy as np
 
 
 def test_interfaces_has_numpy():
@@ -34,3 +35,43 @@ def test_interfaces_has_numpy():
 
 def test_interfaces_has_scipy():
     assert hasattr(mfi, 'scipy_fft')
+
+
+@pytest.mark.parametrize('norm', [None, "forward", "backward", "ortho"])
+@pytest.mark.parametrize('dtype', [np.float32, np.float64, np.complex64, np.complex128])
+def test_scipy_fft(norm, dtype):
+    x = np.ones(511, dtype=dtype)
+    w = mfi.scipy_fft.fft(x, norm=norm)
+    xx = mfi.scipy_fft.ifft(w, norm=norm)
+    tol = 64 * np.finfo(np.dtype(dtype)).eps
+    assert np.allclose(x, xx, atol=tol, rtol=tol)
+
+
+@pytest.mark.parametrize('norm', [None, "forward", "backward", "ortho"])
+@pytest.mark.parametrize('dtype', [np.float32, np.float64])
+def test_scipy_rfft(norm, dtype):
+    x = np.ones(511, dtype=dtype)
+    w = mfi.scipy_fft.rfft(x, norm=norm)
+    xx = mfi.scipy_fft.irfft(w, n=x.shape[0], norm=norm)
+    tol = 64 * np.finfo(np.dtype(dtype)).eps
+    assert np.allclose(x, xx, atol=tol, rtol=tol)
+
+
+@pytest.mark.parametrize('norm', [None, "forward", "backward", "ortho"])
+@pytest.mark.parametrize('dtype', [np.float32, np.float64, np.complex64, np.complex128])
+def test_scipy_fftn(norm, dtype):
+    x = np.ones((37, 83), dtype=dtype)
+    w = mfi.scipy_fft.fftn(x, norm=norm)
+    xx = mfi.scipy_fft.ifftn(w, norm=norm)
+    tol = 64 * np.finfo(np.dtype(dtype)).eps
+    assert np.allclose(x, xx, atol=tol, rtol=tol)
+
+
+@pytest.mark.parametrize('norm', [None, "forward", "backward", "ortho"])
+@pytest.mark.parametrize('dtype', [np.float32, np.float64])
+def test_scipy_rftn(norm, dtype):
+    x = np.ones((37, 83), dtype=dtype)
+    w = mfi.scipy_fft.rfftn(x, norm=norm)
+    xx = mfi.scipy_fft.ifftn(w, s=x.shape, norm=norm)
+    tol = 64 * np.finfo(np.dtype(dtype)).eps
+    assert np.allclose(x, xx, atol=tol, rtol=tol)