revert environment yml file and fix coverage

Author: NimaSarajpoor

environment.yml

@@ -27,6 +27,4 @@ dependencies:
   - jupyterlab-myst>=2.0.0
   - myst-nb>=1.0.0
   - polars>=1.14.0
-  - fftw>=3.3
-  - pyfftw>=0.15.0
   - numba-cuda>=0.24.0

stumpy/sdp.py

@@ -6,7 +6,7 @@
 
 from . import config
 
-try:
+try:  # pragma: no cover
     import pyfftw
 
     FFTW_IS_AVAILABLE = True
@@ -108,7 +108,7 @@ def _pocketfft_sliding_dot_product(Q, T):
     return c2r(False, np.multiply(fft_2d[0], fft_2d[1]), n=next_fast_n)[m - 1 : n]
 
 
-class _PYFFTW_SLIDING_DOT_PRODUCT:
+class _PYFFTW_SLIDING_DOT_PRODUCT:  # pragma: no cover
     """
     A class to compute the sliding dot product using FFTW via pyfftw.
 
@@ -286,7 +286,7 @@ def __call__(self, Q, T, n_threads=1, planning_flag="FFTW_ESTIMATE"):
         return real_arr[m - 1 : n]
 
 
-if FFTW_IS_AVAILABLE:
+if FFTW_IS_AVAILABLE:  # pragma: no cover
     _pyfftw_sliding_dot_product = _PYFFTW_SLIDING_DOT_PRODUCT()
 else:  # pragma: no cover
     _pyfftw_sliding_dot_product = None

tests/test_sdp.py

@@ -182,8 +182,8 @@ def test_sdp_power2():
     return
 
 
-def test_pyfftw_sdp_max_n():
-    if not PYFFTW_IMPORTED:  # pragma: no cover
+def test_pyfftw_sdp_max_n():  # pragma: no cover
+    if not PYFFTW_IMPORTED:
         pytest.skip("Skipping Test PyFFTW Not Installed")
 
     # When `len(T)` larger than `max_n` in pyfftw_sdp,
@@ -203,8 +203,8 @@ def test_pyfftw_sdp_max_n():
     return
 
 
-def test_pyfftw_sdp_cache():
-    if not PYFFTW_IMPORTED:  # pragma: no cover
+def test_pyfftw_sdp_cache():  # pragma: no cover
+    if not PYFFTW_IMPORTED:
         pytest.skip("Skipping Test PyFFTW Not Installed")
 
     # To ensure that the caching mechanism in
@@ -228,13 +228,13 @@ def test_pyfftw_sdp_cache():
     return
 
 
-def test_pyfftw_sdp_update_arrays():
-    if not PYFFTW_IMPORTED:  # pragma: no cover
+def test_pyfftw_sdp_update_arrays():  # pragma: no cover
+    if not PYFFTW_IMPORTED:
         pytest.skip("Skipping Test PyFFTW Not Installed")
 
     # To ensure that the cached FFTW objects
-    # can be reused when preallocated arrays
-    # are updated.
+    # can be reused later when preallocated
+    # arrays were updated.
     sliding_dot_product = sdp._PYFFTW_SLIDING_DOT_PRODUCT(max_n=2**10)
 
     n_threads = 1