epel10

- Remove doc subpackage; it's been disabled for a while

.gitignore

@@ -25,3 +25,7 @@
 /xarray-2023.7.0.tar.gz
 /xarray-2023.8.0.tar.gz
 /xarray-2023.9.0.tar.gz
+/xarray-2024.6.0.tar.gz
+/xarray-2024.7.0.tar.gz
+/xarray-2024.10.0.tar.gz
+/xarray-2025.1.1.tar.gz

.packit.yaml

@@ -0,0 +1,18 @@
+# See the documentation for more information:
+# https://packit.dev/docs/configuration/
+---
+jobs:
+  - job: pull_from_upstream
+    trigger: release
+    dist_git_branches:
+      rawhide:
+        fast_forward_merge_into:
+          - fedora-branched
+  - job: koji_build
+    trigger: commit
+    dist_git_branches:
+      - fedora-all
+  - job: bodhi_update
+    trigger: commit
+    dist_git_branches:
+      - fedora-all

0001-DOC-Skip-examples-using-unpackaged-dependencies.patch

@@ -1,33 +0,0 @@
-From f2b1952202db32b956566648dec4cfd302f54316 Mon Sep 17 00:00:00 2001
-From: Elliott Sales de Andrade <quantum.analyst@gmail.com>
-Date: Fri, 15 Mar 2019 22:48:25 -0400
-Subject: [PATCH 1/2] DOC: Skip examples using unpackaged dependencies.
-
-Signed-off-by: Elliott Sales de Andrade <quantum.analyst@gmail.com>
----
- doc/user-guide/io.rst | 2 ++
- 1 file changed, 2 insertions(+)
-
-diff --git a/doc/user-guide/io.rst b/doc/user-guide/io.rst
-index dc495b9f..e03080a1 100644
---- a/doc/user-guide/io.rst
-+++ b/doc/user-guide/io.rst
-@@ -921,6 +921,7 @@ installed, xarray can convert a ``DataArray`` into a ``Cube`` using
- :py:meth:`DataArray.to_iris`:
- 
- .. ipython:: python
-+    :verbatim:
- 
-     da = xr.DataArray(
-         np.random.rand(4, 5),
-@@ -935,6 +936,7 @@ Conversely, we can create a new ``DataArray`` object from a ``Cube`` using
- :py:meth:`DataArray.from_iris`:
- 
- .. ipython:: python
-+    :verbatim:
- 
-     da_cube = xr.DataArray.from_iris(cube)
-     da_cube
--- 
-2.39.2
-

0001-Fix-test_doc_example-on-big-endian-systems.patch

@@ -0,0 +1,34 @@
+From f41100ae4202dce5891854143ba3a31f4e2d5a6d Mon Sep 17 00:00:00 2001
+From: Elliott Sales de Andrade <quantum.analyst@gmail.com>
+Date: Tue, 14 Jan 2025 02:46:39 -0500
+Subject: [PATCH 1/2] Fix test_doc_example on big-endian systems
+
+... by using a fixed-endian input.
+
+Signed-off-by: Elliott Sales de Andrade <quantum.analyst@gmail.com>
+---
+ xarray/tests/test_datatree.py | 8 ++++++--
+ 1 file changed, 6 insertions(+), 2 deletions(-)
+
+diff --git a/xarray/tests/test_datatree.py b/xarray/tests/test_datatree.py
+index 7b295128..21870050 100644
+--- a/xarray/tests/test_datatree.py
++++ b/xarray/tests/test_datatree.py
+@@ -1240,8 +1240,12 @@ class TestRepr:
+     )
+     def test_doc_example(self) -> None:
+         # regression test for https://github.com/pydata/xarray/issues/9499
+-        time = xr.DataArray(data=["2022-01", "2023-01"], dims="time")
+-        stations = xr.DataArray(data=list("abcdef"), dims="station")
++        time = xr.DataArray(
++            data=np.array(["2022-01", "2023-01"], dtype="<U7"), dims="time"
++        )
++        stations = xr.DataArray(
++            data=np.array(list("abcdef"), dtype="<U1"), dims="station"
++        )
+         lon = [-100, -80, -60]
+         lat = [10, 20, 30]
+         # Set up fake data
+-- 
+2.47.0
+

0002-Avoid-unsafe-casts-from-float-to-unsigned-int.patch

@@ -0,0 +1,53 @@
+From e84321150e52a19e617efd7f8798d6859bd3c5e7 Mon Sep 17 00:00:00 2001
+From: Elliott Sales de Andrade <quantum.analyst@gmail.com>
+Date: Sun, 19 Jan 2025 04:47:23 -0500
+Subject: [PATCH 2/2] Avoid unsafe casts from float to unsigned int
+
+Fixes #9815
+
+Signed-off-by: Elliott Sales de Andrade <quantum.analyst@gmail.com>
+---
+ xarray/coding/variables.py    |  5 ++++-
+ xarray/core/duck_array_ops.py | 10 ++++++++++
+ 2 files changed, 14 insertions(+), 1 deletion(-)
+
+diff --git a/xarray/coding/variables.py b/xarray/coding/variables.py
+index 8154f044..355f3b0b 100644
+--- a/xarray/coding/variables.py
++++ b/xarray/coding/variables.py
+@@ -426,7 +426,10 @@ class CFMaskCoder(VariableCoder):
+         if fill_value is not None and has_unsigned:
+             pop_to(encoding, attrs, "_Unsigned")
+             # XXX: Is this actually needed? Doesn't the backend handle this?
+-            data = duck_array_ops.astype(duck_array_ops.around(data), dtype)
++            signed_dtype = np.dtype(f"i{dtype.itemsize}")
++            data = duck_array_ops.view(
++                duck_array_ops.astype(duck_array_ops.around(data), signed_dtype), dtype
++            )
+             attrs["_FillValue"] = fill_value
+ 
+         return Variable(dims, data, attrs, encoding, fastpath=True)
+diff --git a/xarray/core/duck_array_ops.py b/xarray/core/duck_array_ops.py
+index 7e7333fd..be842b66 100644
+--- a/xarray/core/duck_array_ops.py
++++ b/xarray/core/duck_array_ops.py
+@@ -236,6 +236,16 @@ def astype(data, dtype, **kwargs):
+     return data.astype(dtype, **kwargs)
+ 
+ 
++def view(data, *args, **kwargs):
++    if hasattr(data, "__array_namespace__"):
++        xp = get_array_namespace(data)
++        if xp == np:
++            # numpy currently doesn't have a view:
++            return data.view(*args, **kwargs)
++        return xp.view(data, *args, **kwargs)
++    return data.view(*args, **kwargs)
++
++
+ def asarray(data, xp=np, dtype=None):
+     converted = data if is_duck_array(data) else xp.asarray(data)
+ 
+-- 
+2.47.0
+

0002-DOC-Don-t-print-out-conda-pip-environment.patch

@@ -1,39 +0,0 @@
-From f85d7fd7257f3c109987022e35f81da24a32bdbf Mon Sep 17 00:00:00 2001
-From: Elliott Sales de Andrade <quantum.analyst@gmail.com>
-Date: Sat, 16 Mar 2019 02:59:15 -0400
-Subject: [PATCH 2/2] DOC: Don't print out conda/pip environment.
-
-Signed-off-by: Elliott Sales de Andrade <quantum.analyst@gmail.com>
----
- doc/conf.py | 8 --------
- 1 file changed, 8 deletions(-)
-
-diff --git a/doc/conf.py b/doc/conf.py
-index eb861004..faed9753 100644
---- a/doc/conf.py
-+++ b/doc/conf.py
-@@ -16,7 +16,6 @@ import datetime
- import inspect
- import os
- import pathlib
--import subprocess
- import sys
- from contextlib import suppress
- from textwrap import dedent, indent
-@@ -35,13 +34,6 @@ allowed_failures = set()
- print("python exec:", sys.executable)
- print("sys.path:", sys.path)
- 
--if "CONDA_DEFAULT_ENV" in os.environ or "conda" in sys.executable:
--    print("conda environment:")
--    subprocess.run([os.environ.get("CONDA_EXE", "conda"), "list"])
--else:
--    print("pip environment:")
--    subprocess.run([sys.executable, "-m", "pip", "list"])
--
- print(f"xarray: {xarray.__version__}, {xarray.__file__}")
- 
- with suppress(ImportError):
--- 
-2.39.2
-

0003-tests-epel10.patch

@@ -0,0 +1,36 @@
+--- xarray-2025.1.1/xarray/tests/test_dask.py.orig	2025-05-21 09:34:50.648289221 -0400
++++ xarray-2025.1.1/xarray/tests/test_dask.py	2025-05-21 09:37:04.903633951 -0400
+@@ -1042,6 +1042,8 @@
+             ds.foo.variable.compute()
+ 
+ 
++@pytest.mark.flaky
++@pytest.mark.skip(reason="maybe flaky epel10")
+ def test_dask_layers_and_dependencies():
+     ds = Dataset({"foo": ("x", range(5)), "bar": ("x", range(5))}).chunk()
+ 
+--- xarray-2025.1.1/xarray/tests/test_datatree_mapping.py.orig	2025-05-21 09:37:35.179529595 -0400
++++ xarray-2025.1.1/xarray/tests/test_datatree_mapping.py	2025-05-21 09:38:39.269279900 -0400
+@@ -157,6 +157,8 @@
+         result = dt.map_over_datasets(empty_func)
+         assert result["set1/set2"].attrs == dt["set1/set2"].attrs
+ 
++    @pytest.mark.flaky
++    @pytest.mark.skip(reason="maybe flaky epel10")
+     def test_error_contains_path_of_offending_node(self, create_test_datatree):
+         dt = create_test_datatree()
+         dt["set1"]["bad_var"] = 0
+--- xarray-2025.1.1/xarray/tests/test_backends.py.orig	2025-05-21 10:05:24.190411283 -0400
++++ xarray-2025.1.1/xarray/tests/test_backends.py	2025-05-21 10:07:26.667130437 -0400
+@@ -5677,9 +5677,8 @@
+ 
+ @requires_scipy_or_netCDF4
+ @pytest.mark.parametrize("calendar", _STANDARD_CALENDARS)
+-@pytest.mark.xfail(
+-    has_numpy_2, reason="https://github.com/pandas-dev/pandas/issues/56996"
+-)
++@pytest.mark.flaky
++@pytest.mark.skip(reason="maybe flaky epel10")
+ def test_use_cftime_false_standard_calendar_in_range(calendar) -> None:
+     x = [0, 1]
+     time = [0, 720]

8186.patch

@@ -1,29 +0,0 @@
-From c7391fca66e1fd24b175cfffab692af20628fe2b Mon Sep 17 00:00:00 2001
-From: Kyle Sunden <git@ksunden.space>
-Date: Thu, 14 Sep 2023 20:18:04 -0500
-Subject: [PATCH] Update contourf call check for mpl 3.8
-
----
- xarray/tests/test_plot.py | 9 ++++++++-
- 1 file changed, 8 insertions(+), 1 deletion(-)
-
-diff --git a/xarray/tests/test_plot.py b/xarray/tests/test_plot.py
-index 8b2dfbdec4..a6c15a8600 100644
---- a/xarray/tests/test_plot.py
-+++ b/xarray/tests/test_plot.py
-@@ -167,7 +167,14 @@ def imshow_called(self, plotmethod):
- 
-     def contourf_called(self, plotmethod):
-         plotmethod()
--        paths = plt.gca().findobj(mpl.collections.PathCollection)
-+
-+        # Compatible with mpl before (PathCollection) and after (QuadContourSet) 3.8
-+        def matchfunc(x):
-+            return isinstance(
-+                x, (mpl.collections.PathCollection, mpl.contour.QuadContourSet)
-+            )
-+
-+        paths = plt.gca().findobj(matchfunc)
-         return len(paths) > 0
- 
- 

9945.patch

@@ -0,0 +1,102 @@
+From da4aa1f2f116089c75adee5954bcc9ab755bcb89 Mon Sep 17 00:00:00 2001
+From: Deepak Cherian <deepak@cherian.net>
+Date: Mon, 13 Jan 2025 08:00:50 -0600
+Subject: [PATCH 1/2] Remove outdated quantile test.
+
+dask now auto-rechunks for quantile.
+
+Closes #9860
+---
+ xarray/tests/test_groupby.py | 18 ++++++++++--------
+ 1 file changed, 10 insertions(+), 8 deletions(-)
+
+diff --git a/xarray/tests/test_groupby.py b/xarray/tests/test_groupby.py
+index e4383dd58a9..2349ff0adfd 100644
+--- a/xarray/tests/test_groupby.py
++++ b/xarray/tests/test_groupby.py
+@@ -284,7 +284,6 @@ def test_da_groupby_empty() -> None:
+ 
+ @requires_dask
+ def test_dask_da_groupby_quantile() -> None:
+-    # Only works when the grouped reduction can run blockwise
+     # Scalar quantile
+     expected = xr.DataArray(
+         data=[2, 5], coords={"x": [1, 2], "quantile": 0.5}, dims="x"
+@@ -292,8 +291,6 @@ def test_dask_da_groupby_quantile() -> None:
+     array = xr.DataArray(
+         data=[1, 2, 3, 4, 5, 6], coords={"x": [1, 1, 1, 2, 2, 2]}, dims="x"
+     )
+-    with pytest.raises(ValueError):
+-        array.chunk(x=1).groupby("x").quantile(0.5)
+ 
+     # will work blockwise with flox
+     actual = array.chunk(x=3).groupby("x").quantile(0.5)
+@@ -327,7 +324,8 @@ def test_dask_da_groupby_median() -> None:
+     assert_identical(expected, actual)
+ 
+ 
+-def test_da_groupby_quantile() -> None:
++@pytest.mark.parametrize("use_flox", [True, False])
++def test_da_groupby_quantile(use_flox) -> None:
+     array = xr.DataArray(
+         data=[1, 2, 3, 4, 5, 6], coords={"x": [1, 1, 1, 2, 2, 2]}, dims="x"
+     )
+@@ -336,8 +334,10 @@ def test_da_groupby_quantile() -> None:
+     expected = xr.DataArray(
+         data=[2, 5], coords={"x": [1, 2], "quantile": 0.5}, dims="x"
+     )
+-    actual = array.groupby("x").quantile(0.5)
+-    assert_identical(expected, actual)
++
++    with xr.set_options(use_flox=use_flox):
++        actual = array.groupby("x").quantile(0.5)
++        assert_identical(expected, actual)
+ 
+     # Vector quantile
+     expected = xr.DataArray(
+@@ -345,7 +345,8 @@ def test_da_groupby_quantile() -> None:
+         coords={"x": [1, 2], "quantile": [0, 1]},
+         dims=("x", "quantile"),
+     )
+-    actual = array.groupby("x").quantile([0, 1])
++    with xr.set_options(use_flox=use_flox):
++        actual = array.groupby("x").quantile([0, 1])
+     assert_identical(expected, actual)
+ 
+     array = xr.DataArray(
+@@ -356,7 +357,8 @@ def test_da_groupby_quantile() -> None:
+         e = [np.nan, 5] if skipna is False else [2.5, 5]
+ 
+         expected = xr.DataArray(data=e, coords={"x": [1, 2], "quantile": 0.5}, dims="x")
+-        actual = array.groupby("x").quantile(0.5, skipna=skipna)
++        with xr.set_options(use_flox=use_flox):
++            actual = array.groupby("x").quantile(0.5, skipna=skipna)
+         assert_identical(expected, actual)
+ 
+     # Multiple dimensions
+
+From 3d6e76a29a328489b0867a89fce1c157605c5f5d Mon Sep 17 00:00:00 2001
+From: Deepak Cherian <dcherian@users.noreply.github.com>
+Date: Mon, 13 Jan 2025 10:28:29 -0600
+Subject: [PATCH 2/2] Apply suggestions from code review
+
+Co-authored-by: Michael Niklas  <mick.niklas@gmail.com>
+---
+ xarray/tests/test_groupby.py | 4 ++--
+ 1 file changed, 2 insertions(+), 2 deletions(-)
+
+diff --git a/xarray/tests/test_groupby.py b/xarray/tests/test_groupby.py
+index 2349ff0adfd..7dd6cdb622d 100644
+--- a/xarray/tests/test_groupby.py
++++ b/xarray/tests/test_groupby.py
+@@ -324,8 +324,8 @@ def test_dask_da_groupby_median() -> None:
+     assert_identical(expected, actual)
+ 
+ 
+-@pytest.mark.parametrize("use_flox", [True, False])
+-def test_da_groupby_quantile(use_flox) -> None:
++@pytest.mark.parametrize("use_flox", [pytest.param(True, marks=requires_flox), False])
++def test_da_groupby_quantile(use_flox: bool) -> None:
+     array = xr.DataArray(
+         data=[1, 2, 3, 4, 5, 6], coords={"x": [1, 1, 1, 2, 2, 2]}, dims="x"
+     )

python-xarray.spec

@@ -1,36 +1,34 @@
 %global srcname xarray
-%global data_commit 7d8290e0be9d2a8f4b4381641f20a97db6eaea3d
-
-%bcond_with docs
 
 Name:           python-%{srcname}
-Version:        2023.9.0
+Version:        2025.1.1
 Release:        %autorelease
 Summary:        N-D labeled arrays and datasets in Python
 
 License:        Apache-2.0
 URL:            https://github.com/pydata/xarray
-Source0:        %pypi_source %{srcname}
-# Data for examples only.
-Source1:        https://github.com/pydata/xarray-data/archive/%{data_commit}/xarray-data-%{data_commit}.tar.gz
-# All Fedora specific.
-Patch0001:      0001-DOC-Skip-examples-using-unpackaged-dependencies.patch
-Patch0002:      0002-DOC-Don-t-print-out-conda-pip-environment.patch
+Source:         %pypi_source %{srcname}
+
+# Fix test_dask_da_groupby_quantile.
+Patch:          https://github.com/pydata/xarray/pull/9945.patch
+
+# https://github.com/pydata/xarray/pull/9949
+Patch:          0001-Fix-test_doc_example-on-big-endian-systems.patch
+# https://github.com/pydata/xarray/pull/9964
+Patch:          0002-Avoid-unsafe-casts-from-float-to-unsigned-int.patch
+Patch:		0003-tests-epel10.patch
 
 BuildArch:      noarch
 
 BuildRequires:  python3-devel
 BuildRequires:  python3dist(bottleneck)
-BuildRequires:  python3dist(cftime) >= 1.2
-BuildRequires:  python3dist(dask[array]) >= 2.30
-BuildRequires:  python3dist(dask[dataframe]) >= 2.30
-BuildRequires:  python3dist(netcdf4) >= 1.5
+BuildRequires:  python3dist(dask[array]) >= 2023.9
+BuildRequires:  python3dist(dask[dataframe]) >= 2023.9
 BuildRequires:  python3dist(pint) >= 0.16
 BuildRequires:  python3dist(pytest) >= 2.7.1
 BuildRequires:  python3dist(pytest-xdist)
 BuildRequires:  python3dist(rasterio) >= 1.1
 BuildRequires:  python3dist(seaborn) >= 0.11
-BuildRequires:  python3dist(zarr) >= 2.5
 
 %global _description %{expand: \
 Xarray (formerly xray) is an open source project and Python package that
@@ -50,62 +48,24 @@ data model, and integrates tightly with dask for parallel computing.}
 
 %description %{_description}
 
-
 %package -n     python3-%{srcname}
 Summary:        %{summary}
-
 %description -n python3-%{srcname} %{_description}
 
-
-%if %{with docs}
-%package -n python-%{srcname}-doc
-Summary:        xarray documentation
-
-BuildRequires:  python3dist(cartopy)
-BuildRequires:  natural-earth-map-data-110m
-BuildRequires:  natural-earth-map-data-10m
-BuildRequires:  python3-ipython-sphinx
-BuildRequires:  python3dist(jupyter-client)
-BuildRequires:  python3dist(matplotlib) >= 3.3
-BuildRequires:  python3dist(sphinx)
-BuildRequires:  python3dist(sphinx-gallery)
-BuildRequires:  python3dist(sphinx-rtd-theme)
-
-%description -n python-%{srcname}-doc
-Documentation for xarray
-%endif
-
+%pyproject_extras_subpkg -n python3-%{srcname} io
 
 %prep
 %autosetup -n %{srcname}-%{version} -p1
 
-%if %{with docs}
-# Provide example datasets for building docs.
-tar xf %SOURCE1 --transform='s~^\(%{srcname}-data-%{data_commit}/\)~\1.xarray_tutorial_data/~'
-%endif
-
-
 %generate_buildrequires
-%pyproject_buildrequires -r
-
+%pyproject_buildrequires -x io
 
 %build
 %pyproject_wheel
 
-%if %{with docs}
-# generate html docs
-pushd doc
-PYTHONPATH=${PWD}/.. HOME=${PWD}/../%{srcname}-data-%{data_commit} make html
-# remove the sphinx-build leftovers
-rm -rf _build/html/.{doctrees,buildinfo}
-popd
-%endif
-
-
 %install
 %pyproject_install
-%pyproject_save_files %{srcname}
-
+%pyproject_save_files -l %{srcname}
 
 %check
 rm -rf xarray
@@ -113,23 +73,15 @@ rm -rf xarray
 pytest_args=(
   -n auto
   -m "not network"
-  # https://github.com/pydata/xarray/issues/7513
-  -k 'not test_open_mfdataset_manyfiles'
+  # this test somehow crashes python interpreter entirely, was xfail upstream till recently
+  -k 'not test_save_mfdataset_compute_false_roundtrip'
 )
 
 %{pytest} -ra "${pytest_args[@]}" --pyargs xarray
 
-
 %files -n python3-%{srcname} -f %{pyproject_files}
-%license LICENSE licenses/DASK_LICENSE licenses/NUMPY_LICENSE licenses/PANDAS_LICENSE licenses/PYTHON_LICENSE licenses/SEABORN_LICENSE
+%license licenses/*
 %doc README.md
 
-%if %{with docs}
-%files -n python-%{srcname}-doc
-%doc doc/_build/html
-%license LICENSE licenses/DASK_LICENSE licenses/NUMPY_LICENSE licenses/PANDAS_LICENSE licenses/PYTHON_LICENSE licenses/SEABORN_LICENSE
-%endif
-
-
 %changelog
 %autochangelog

sources

@@ -1,2 +1 @@
-SHA512 (xarray-2023.9.0.tar.gz) = d6c1e6ff438415766dedada5841413b9c7514dc2b1bf71a4adb17df4d78b68f5f22cded09c20511e4e2e85ac3284c447fc13191397b7ae77d1294d7867e3ac3f
-SHA512 (xarray-data-7d8290e0be9d2a8f4b4381641f20a97db6eaea3d.tar.gz) = 3734ad5649b9ba23e8fe52ac1fc34694dcb3c761a1817e520726a83d31e725e2448aa0109ad7ad385572ae7d6a285bf1407d104f87227127a6a51d73b797a952
+SHA512 (xarray-2025.1.1.tar.gz) = a0cde2c8e38887878bcde25fd3ea6ee436b522ca73f52359d2c8ac1993447472d7cd5e5d4b11016ec48d1b86dba08e9207caf00b2b43ab896c777395e51f7943