fix upstream

.github/workflows/upstream-dev-ci.yml

@@ -43,7 +43,7 @@ jobs:
     strategy:
       fail-fast: false
       matrix:
-        python-version: ["3.8"]
+        python-version: ["3.10"]
     outputs:
       artifacts_availability: ${{ steps.status.outputs.ARTIFACTS_AVAILABLE }}
     steps:

ci/install-upstream-wheels.sh

@@ -7,7 +7,7 @@ conda uninstall -y --force \
     dask \
     cftime \
     nc-time-axis \
-    bottleneck \
+    # bottleneck \
     xarray \
     xskillscore \
     xclim \
@@ -37,7 +37,7 @@ python -m pip install \
     git+https://github.com/Unidata/cftime \
     git+https://github.com/SciTools/nc-time-axis \
     git+https://github.com/pydata/xarray  \
-    git+https://github.com/pydata/bottleneck  \
+    # git+https://github.com/pydata/bottleneck  \
     git+https://github.com/xarray-contrib/xskillscore \
     git+https://github.com/xgcm/xrft \
     git+https://github.com/pankajkarman/bias_correction

climpred/metrics.py

@@ -3784,7 +3784,7 @@ def _contingency(forecast, verif, score="table", dim=None, **metric_kwargs):
         ...     observation_category_edges=category_edges,
         ...     forecast_category_edges=category_edges,
         ... ).isel(lead=[0, 1]).SST
-        <xarray.DataArray 'SST' (lead: 2, observations_category: 3, forecasts_category: 3)>
+        <xarray.DataArray 'SST' (lead: 2, observations_category: 3, forecast_category: 3)>  # doctest: +ELLIPSIS
         array([[[221,  29,   0],
                 [ 53, 217,   0],
                 [  0,   0,   0]],