gentoo/dev-python/xarray/files/xarray-0.18.2-backports.patch

From ca72d56c213a1c47e54b12ee559f412e60fbf9b1 Mon Sep 17 00:00:00 2001
From: Spencer Clark <spencerkclark@gmail.com>
Date: Sat, 22 May 2021 20:13:19 -0400
Subject: [PATCH] Make `kind` argument in `CFTimeIndex._maybe_cast_slice_bound`
 optional (#5359)

* [test-upstream] Make kind argument in CFTimeIndex._maybe_cast_slice_bound optional

* Update doc/whats-new.rst

Co-authored-by: keewis <keewis@users.noreply.github.com>

Co-authored-by: keewis <keewis@users.noreply.github.com>
---
 doc/whats-new.rst            | 4 ++++
 xarray/coding/cftimeindex.py | 9 +++++++--
 2 files changed, 11 insertions(+), 2 deletions(-)

diff --git a/xarray/coding/cftimeindex.py b/xarray/coding/cftimeindex.py
index f0de5565..783fe8d0 100644
--- a/xarray/coding/cftimeindex.py
+++ b/xarray/coding/cftimeindex.py
@@ -465,9 +465,14 @@ class CFTimeIndex(pd.Index):
         else:
             return pd.Index.get_loc(self, key, method=method, tolerance=tolerance)
 
-    def _maybe_cast_slice_bound(self, label, side, kind):
+    def _maybe_cast_slice_bound(self, label, side, kind=None):
         """Adapted from
-        pandas.tseries.index.DatetimeIndex._maybe_cast_slice_bound"""
+        pandas.tseries.index.DatetimeIndex._maybe_cast_slice_bound
+
+        Note that we have never used the kind argument in CFTimeIndex and it is
+        deprecated as of pandas version 1.3.0.  It exists only for compatibility
+        reasons.  We can remove it when our minimum version of pandas is 1.3.0.
+        """
         if not isinstance(label, str):
             return label
 
-- 
2.32.0

From 34dc57717c82a86455a9e5abb0a47df782266c7e Mon Sep 17 00:00:00 2001
From: Mathias Hauser <mathause@users.noreply.github.com>
Date: Mon, 7 Jun 2021 23:05:24 +0200
Subject: [PATCH] fix dask meta and output_dtypes error (#5449)

---
 xarray/tests/test_computation.py | 5 ++++-
 1 file changed, 4 insertions(+), 1 deletion(-)

diff --git a/xarray/tests/test_computation.py b/xarray/tests/test_computation.py
index b7ae1ca9..09bed724 100644
--- a/xarray/tests/test_computation.py
+++ b/xarray/tests/test_computation.py
@@ -1306,7 +1306,10 @@ def test_vectorize_dask_dtype_without_output_dtypes(data_array):
     assert expected.dtype == actual.dtype
 
 
-@pytest.mark.xfail(LooseVersion(dask.__version__) < "2.3", reason="dask GH5274")
+@pytest.mark.skipif(
+    LooseVersion(dask.__version__) > "2021.06",
+    reason="dask/dask#7669: can no longer pass output_dtypes and meta",
+)
 @requires_dask
 def test_vectorize_dask_dtype_meta():
     # meta dtype takes precedence
-- 
2.32.0

From 5a14d7d398be7e0efc6d5c8920dc8886212c3b2a Mon Sep 17 00:00:00 2001
From: Spencer Clark <spencerkclark@gmail.com>
Date: Sat, 12 Jun 2021 08:58:42 -0400
Subject: [PATCH] Explicitly state datetime units in array constructors in
 `test_datetime_mean` (#5463)

---
 xarray/tests/test_duck_array_ops.py | 10 ++++------
 1 file changed, 4 insertions(+), 6 deletions(-)

diff --git a/xarray/tests/test_duck_array_ops.py b/xarray/tests/test_duck_array_ops.py
index 0eb00725..6d49e209 100644
--- a/xarray/tests/test_duck_array_ops.py
+++ b/xarray/tests/test_duck_array_ops.py
@@ -285,15 +285,15 @@ def assert_dask_array(da, dask):
 def test_datetime_mean(dask):
     # Note: only testing numpy, as dask is broken upstream
     da = DataArray(
-        np.array(["2010-01-01", "NaT", "2010-01-03", "NaT", "NaT"], dtype="M8"),
+        np.array(["2010-01-01", "NaT", "2010-01-03", "NaT", "NaT"], dtype="M8[ns]"),
         dims=["time"],
     )
     if dask:
         # Trigger use case where a chunk is full of NaT
         da = da.chunk({"time": 3})
 
-    expect = DataArray(np.array("2010-01-02", dtype="M8"))
-    expect_nat = DataArray(np.array("NaT", dtype="M8"))
+    expect = DataArray(np.array("2010-01-02", dtype="M8[ns]"))
+    expect_nat = DataArray(np.array("NaT", dtype="M8[ns]"))
 
     actual = da.mean()
     if dask:
@@ -889,8 +889,6 @@ def test_push_dask():
     # some chunks of size-1 with NaN
     with raise_if_dask_computes():
         actual = push(
-            dask.array.from_array(array, chunks=(1, 2, 3, 2, 2, 1, 1)),
-            axis=0,
-            n=None,
+            dask.array.from_array(array, chunks=(1, 2, 3, 2, 2, 1, 1)), axis=0, n=None
         )
     np.testing.assert_equal(actual, expected)
-- 
2.32.0