Use warnings instead of numpy.warnings

The numpy.warnings alias has been removed.
lsst · Jun 20, 2023 · db50b21 · db50b21
1 parent 8139a81
commit db50b21
Showing 1 changed file with 3 additions and 3 deletions.
diff --git a/scarlet/lite/measure.py b/scarlet/lite/measure.py
@@ -82,9 +82,9 @@ def weight_sources(blend, mask_footprint=True):
         slices = overlapped_slices(observation.bbox, bbox)
         numerator = _model[slices[1]]
         denominator = model[slices[0]]
-        with np.warnings.catch_warnings():
-            np.warnings.filterwarnings("ignore", r"invalid value encountered")
-            np.warnings.filterwarnings("ignore", r"divide by zero")
+        with warnings.catch_warnings():
+            warnings.filterwarnings("ignore", r"invalid value encountered")
+            warnings.filterwarnings("ignore", r"divide by zero")
             ratio = numerator / denominator
         ratio[denominator == 0] = 0
         # sometimes numerical errors can cause a hot pixel to have a slightly