rm weights.load()

CHANGELOG.rst

@@ -5,19 +5,23 @@ Changelog History
 xskillscore v0.0.20 (2021-XX-XX)
 --------------------------------
 
+Features
+~~~~~~~~
+- Specify category distribution type with ``input_distributions`` in
+  :py:func:`~xskillscore.rps` if ``category_edges==None`` that forecasts and
+  observations are probability distributions ``p`` or cumulative
+  distributionss ``c``. See :py:func:`~xskillscore.rps` docstrings and doctests for
+  examples. (:pr:`300`) `Aaron Spring`_
+
 Internal Changes
 ~~~~~~~~~~~~~~~~
 - Use ``pytest-xdist`` and ``matplotlib-base`` in environments to speed up CI.
   (:pr:`283`) `Aaron Spring`_
 - :py:func:`~xskillscore.rps` does not break from masking NaNs anymore.
   :py:func:`~xskillscore.rps` expilicty checks for ``bin_dim`` if
   ``category_edges==None``. (:pr:`287`) `Aaron Spring`_
-- Specify category distribution type with ``input_distributions`` in
-  :py:func:`~xskillscore.rps` if ``category_edges==None`` that forecasts and
-  observations are probability distributions ``p`` or cumulative
-  distributionss ``c``. See :py:func:`~xskillscore.rps` docstrings and doctests for
-  examples. (:pr:`300`) `Aaron Spring`_
 - Add doctest on the docstring examples. (:pr:`302`) `Ray Bell`_
+- Removed a call to compute weights in testing (:pr:`306`) `Ray Bell`_
 
 
 xskillscore v0.0.19 (2021-03-12)

xskillscore/tests/test_deterministic.py

@@ -256,8 +256,6 @@ def test_distance_metrics_daskda_same_npda(
         actual = metric(a, b, dim, skipna=skipna)
     else:
         actual = metric(a, b, dim, weights=_weights, skipna=skipna)
-    if _weights is not None:
-        _weights = _weights.load()
     if metric is median_absolute_error:
         expected = metric(a.load(), b.load(), dim, skipna=skipna)
     else: