Sync from SUSE:ALP:Source:Standard:1.0 python-xarray revision b8f0f40ce5432645e4d1940043cf846c
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.gitattributes
vendored
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.gitattributes
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## Default LFS
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*.7z filter=lfs diff=lfs merge=lfs -text
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*.bsp filter=lfs diff=lfs merge=lfs -text
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*.bz2 filter=lfs diff=lfs merge=lfs -text
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*.gem filter=lfs diff=lfs merge=lfs -text
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*.gz filter=lfs diff=lfs merge=lfs -text
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*.jar filter=lfs diff=lfs merge=lfs -text
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*.lz filter=lfs diff=lfs merge=lfs -text
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*.lzma filter=lfs diff=lfs merge=lfs -text
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*.obscpio filter=lfs diff=lfs merge=lfs -text
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*.oxt filter=lfs diff=lfs merge=lfs -text
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*.pdf filter=lfs diff=lfs merge=lfs -text
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*.png filter=lfs diff=lfs merge=lfs -text
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*.rpm filter=lfs diff=lfs merge=lfs -text
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*.tbz filter=lfs diff=lfs merge=lfs -text
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*.tbz2 filter=lfs diff=lfs merge=lfs -text
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*.tgz filter=lfs diff=lfs merge=lfs -text
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*.ttf filter=lfs diff=lfs merge=lfs -text
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*.txz filter=lfs diff=lfs merge=lfs -text
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*.whl filter=lfs diff=lfs merge=lfs -text
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*.xz filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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local_dataset.patch
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local_dataset.patch
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---
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xarray/tutorial.py | 5 ++++-
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1 file changed, 4 insertions(+), 1 deletion(-)
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Index: xarray-2023.8.0/xarray/tutorial.py
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===================================================================
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--- xarray-2023.8.0.orig/xarray/tutorial.py
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+++ xarray-2023.8.0/xarray/tutorial.py
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@@ -157,7 +157,10 @@ def open_dataset(
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url = f"{base_url}/raw/{version}/{path.name}"
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# retrieve the file
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- filepath = pooch.retrieve(url=url, known_hash=None, path=cache_dir)
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+ fname = pathlib.Path(cache_dir, path).expanduser()
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+ if not fname.exists():
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+ fname = None
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+ filepath = pooch.retrieve(url=url, fname=fname, known_hash=None, path=cache_dir)
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ds = _open_dataset(filepath, engine=engine, **kws)
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if not cache:
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ds = ds.load()
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2989
python-xarray.changes
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2989
python-xarray.changes
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File diff suppressed because it is too large
Load Diff
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python-xarray.spec
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python-xarray.spec
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#
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# spec file for package python-xarray
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#
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# Copyright (c) 2023 SUSE LLC
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#
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# All modifications and additions to the file contributed by third parties
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# remain the property of their copyright owners, unless otherwise agreed
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# upon. The license for this file, and modifications and additions to the
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# file, is the same license as for the pristine package itself (unless the
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# license for the pristine package is not an Open Source License, in which
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# case the license is the MIT License). An "Open Source License" is a
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# license that conforms to the Open Source Definition (Version 1.9)
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# published by the Open Source Initiative.
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# Please submit bugfixes or comments via https://bugs.opensuse.org/
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#
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%{?sle15_python_module_pythons}
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Name: python-xarray
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Version: 2023.8.0
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Release: 0
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Summary: N-D labeled arrays and datasets in Python
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License: Apache-2.0
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URL: https://github.com/pydata/xarray
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Source: https://files.pythonhosted.org/packages/source/x/xarray/xarray-%{version}.tar.gz
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# PATCH-FEATURE-UPSTREAM local_dataset.patch gh#pydata/xarray#5377 mcepl@suse.com
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# fix xr.tutorial.open_dataset to work with the preloaded cache.
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Patch0: local_dataset.patch
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# PATCH-FIX-UPSTREAM xarray-pr8139-pandas-fill_value.patch gh#pydata/xarray#8125, gh#pydata/xarray#8139
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Patch1: https://github.com/pydata/xarray/pull/8139.patch#/xarray-pr8139-pandas-fill_value.patch
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BuildRequires: %{python_module base >= 3.9}
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BuildRequires: %{python_module numpy-devel >= 1.20}
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BuildRequires: %{python_module packaging >= 21.3}
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BuildRequires: %{python_module pandas >= 1.3}
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BuildRequires: %{python_module pip}
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BuildRequires: %{python_module setuptools_scm}
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BuildRequires: %{python_module setuptools}
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BuildRequires: %{python_module wheel}
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BuildRequires: fdupes
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BuildRequires: python-rpm-macros
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Requires: python-numpy >= 1.22
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Requires: python-packaging >= 21.3
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Requires: python-pandas >= 1.4
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Provides: python-xray = %{version}
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Obsoletes: python-xray < %{version}
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BuildArch: noarch
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# SECTION extras accel
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Recommends: python-scipy
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Recommends: python-bottleneck
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Recommends: python-flox
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Recommends: python-numbagg
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# /SECTION
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# SECTION extras parallalel
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Suggests: python-dask-complete
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# /SECTION
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# SECTION extras viz
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Suggests: python-matplotlib
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Suggests: python-seaborn
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Suggests: python-nc-time-axis
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#/SECTION
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# SECTION extras io
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Suggests: python-netCDF4
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Suggests: python-h5netcdf
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Suggests: (python-pydap if python-base < 3.10)
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Suggests: python-zarr
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Suggests: python-fsspec
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Suggests: python-cftime
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Suggests: python-rasterio
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Suggests: python-cfgrib
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Suggests: python-pooch
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#/SECTION
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# SECTION tests
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BuildRequires: %{python_module Bottleneck}
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BuildRequires: %{python_module dask-dataframe}
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BuildRequires: %{python_module dask-diagnostics}
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BuildRequires: %{python_module h5netcdf}
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BuildRequires: %{python_module matplotlib}
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BuildRequires: %{python_module netCDF4}
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BuildRequires: %{python_module pooch}
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BuildRequires: %{python_module pytest-xdist}
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BuildRequires: %{python_module pytest}
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BuildRequires: %{python_module scipy}
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BuildRequires: %{python_module zarr}
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# /SECTION
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%python_subpackages
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%description
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xarray (formerly xray) is a python-pandas-like and pandas-compatible
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toolkit for analytics on multi-dimensional arrays. It provides
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N-dimensional variants of the python-pandas labeled data structures,
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rather than the tabular data that pandas uses.
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The Common Data Model for self-describing scientific data is used.
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The dataset is an in-memory representation of a netCDF file.
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%prep
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%autosetup -p1 -n xarray-%{version}
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chmod -x xarray/util/print_versions.py
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%build
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%pyproject_wheel
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%install
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%pyproject_install
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%python_expand %fdupes %{buildroot}%{$python_sitelib}
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%check
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# obs file open race conditions?
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donttest="(test_open_mfdataset_manyfiles and (h5netcdf or netCDF4))"
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if [ $(getconf LONG_BIT) -eq 32 ]; then
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# https://github.com/pydata/xarray/issues/5341
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# https://github.com/pydata/xarray/issues/5375
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# still precision problems in 2022.11.0
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donttest="$donttest or (test_interpolate_chunk_advanced and linear)"
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# tests for 64bit types
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donttest="$donttest or TestZarrDictStore or TestZarrDirectoryStore or TestZarrWriteEmpty"
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fi
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%pytest -n auto -rsEf -k "not ($donttest)" xarray
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%files %{python_files}
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%doc README.md
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%license LICENSE licenses/
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%{python_sitelib}/xarray
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%{python_sitelib}/xarray-%{version}.dist-info
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%changelog
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BIN
xarray-2023.8.0.tar.gz
(Stored with Git LFS)
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BIN
xarray-2023.8.0.tar.gz
(Stored with Git LFS)
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Binary file not shown.
38
xarray-pr8139-pandas-fill_value.patch
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xarray-pr8139-pandas-fill_value.patch
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From 3e48312c41cb26bbd4dc83ae286444f1469b7aa2 Mon Sep 17 00:00:00 2001
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From: Maximilian Roos <m@maxroos.com>
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Date: Fri, 1 Sep 2023 19:41:41 -0700
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Subject: [PATCH] Fix pandas interpolate(fill_value=) error
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Pandas no longer has a `fill_value` parameter for `interpolate`.
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Weirdly I wasn't getting this locally, on pandas 2.1.0, only in CI on https://github.com/pydata/xarray/actions/runs/6054400455/job/16431747966?pr=8138.
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Removing it passes locally, let's see whether this works in CI
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---
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xarray/tests/test_missing.py | 6 ++++--
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1 file changed, 4 insertions(+), 2 deletions(-)
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diff --git a/xarray/tests/test_missing.py b/xarray/tests/test_missing.py
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index a6b6b1f80c..c303659116 100644
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--- a/xarray/tests/test_missing.py
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+++ b/xarray/tests/test_missing.py
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@@ -104,7 +104,8 @@ def test_interpolate_pd_compat():
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for dim in ["time", "x"]:
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actual = da.interpolate_na(method=method, dim=dim, fill_value=np.nan)
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expected = df.interpolate(
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- method=method, axis=da.get_axis_num(dim), fill_value=(np.nan, np.nan)
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+ method=method,
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+ axis=da.get_axis_num(dim),
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)
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# Note, Pandas does some odd things with the left/right fill_value
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# for the linear methods. This next line inforces the xarray
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@@ -140,7 +141,8 @@ def test_interpolate_pd_compat_non_uniform_index():
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method="linear", dim=dim, use_coordinate=True, fill_value=np.nan
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)
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expected = df.interpolate(
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- method=method, axis=da.get_axis_num(dim), fill_value=np.nan
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+ method=method,
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+ axis=da.get_axis_num(dim),
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)
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# Note, Pandas does some odd things with the left/right fill_value
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