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here is the log from the commit of package python-xarray for openSUSE:Factory
checked in at 2024-09-09 14:45:45
++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
Comparing /work/SRC/openSUSE:Factory/python-xarray (Old)
and /work/SRC/openSUSE:Factory/.python-xarray.new.10096 (New)
++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
Package is "python-xarray"
Mon Sep 9 14:45:45 2024 rev:50 rq:1199626 version:2024.7.0
Changes:
--------
--- /work/SRC/openSUSE:Factory/python-xarray/python-xarray.changes
2024-06-07 15:04:25.970102948 +0200
+++ /work/SRC/openSUSE:Factory/.python-xarray.new.10096/python-xarray.changes
2024-09-09 14:47:04.965278193 +0200
@@ -1,0 +2,144 @@
+Wed Sep 4 09:11:37 UTC 2024 - Ben Greiner <c...@bnavigator.de>
+
+- Update to 2024.7.0
+ * Add test for rechunking to a size string by @dcherian in #9117
+ * Update docstring in api.py for open_mfdataset(), clarifying
+ "chunks" argument by @arthur-e in #9121
+ * Grouper refactor by @dcherian in #9122
+ * adjust repr tests to account for different platforms (#9127) by
+ @mgorny in #9128
+ * Support duplicate dimensions in .chunk by @mraspaud in #9099
+ * Update zendoo badge link by @max-sixty in #9133
+ * Split out distributed writes in zarr docs by @max-sixty in
+ #9132
+ * Improve to_zarr docs by @max-sixty in #9139
+ * groupby: remove some internal use of IndexVariable by @dcherian
+ in #9123
+ * Improve zarr chunks docs by @max-sixty in #9140
+ * Include numbagg in type checks by @max-sixty in #9159
+ * Remove mypy exclusions for a couple more libraries by
+ @max-sixty in #9160
+ * Add test for #9155 by @max-sixty in #9161
+ * switch to datetime unit "D" by @keewis in #9170
+ * Slightly improve DataTree repr by @shoyer in #9064
+ * Fix example code formatting for CachingFileManager by @djhoese
+ in #9178
+ * Change np.core.defchararray to np.char (#9165) by @pont-us in
+ #9166
+ * temporarily remove pydap from CI by @keewis in #9183
+ * also pin numpy in the all-but-dask CI by @keewis in #9184
+ * promote floating-point numeric datetimes to 64-bit before
+ decoding by @keewis in #9182
+ * "source" encoding for datasets opened from fsspec objects by
+ @keewis in #8923
+ * properly diff objects with arrays as attributes on variables by
+ @keewis in #9169
+ * Allow str in static typing of reindex, ffill etc. by @headtr1ck
+ in #9194
+ * Fix dark-theme in html[data-theme=dark]-tags by @prisae in
+ #9200
+ * Add open_datatree benchmark by @aladinor in #9158
+ * use a composite strategy to generate the dataframe with a
+ tz-aware datetime column by @keewis in #9174
+ * Hierarchical coordinates in DataTree by @shoyer in #9063
+ * avoid converting custom indexes to pandas indexes when
+ formatting coordinate diffs by @keewis in #9157
+ * Fix reductions for np.complex_ dtypes with numbagg by
+ @max-sixty in #9210
+ * Consolidate some numbagg tests by @max-sixty in #9211
+ * Use numpy 2.0-compat np.complex64 dtype in test by @max-sixty
+ in #9217
+ * Fix two bugs in DataTree.update() by @shoyer in #9214
+ * Only use necessary dims when creating temporary dataarray by
+ @Illviljan in #9206
+ * Cleanup test_coding_times.py by @Illviljan in #9223
+ * Use reshape and ravel from duck_array_ops in coding/times.py by
+ @Illviljan in #9225
+ * Use duckarray assertions in test_coding_times by @Illviljan in
+ #9226
+ * Fix time indexing regression in convert_calendar by @hmaarrfk
+ in #9192
+ * numpy 2 compatibility in the netcdf4 and h5netcdf backends by
+ @keewis in #9136
+ * numpy 2 compatibility in the iris code paths by @keewis in
+ #9156
+ * switch the documentation to run with numpy>=2 by @keewis in
+ #9177
+ * exclude the bots from the release notes by @keewis in #9235
+ * Add a .drop_attrs method by @max-sixty in #8258
+ * Allow mypy to run in vscode by @max-sixty in #9239
+ * Fix typing for test_plot.py by @Illviljan in #9234
+ * Added a space to the documentation by @ChrisCleaner in #9247
+ * Per-variable specification of boolean parameters in
+ open_dataset by @Ostheer in #9218
+ * Enable pandas type checking by @headtr1ck in #9213
+ * fix typing of fallback isdtype method by @headtr1ck in #9250
+ * Grouper, Resampler as public api by @dcherian in #8840
+ * Update dropna docstring by @TomNicholas in #9257
+ * Delete base and loffset parameters to resample by @dcherian in
+ #9233
+ * groupby, resample: Deprecate some positional args by @dcherian
+ in #9236
+ * Add encode_cf_datetime benchmark by @spencerkclark in #9262
+ * Update signature for _arrayfunction.array by @Illviljan in
+ #9237
+ * Fix copybutton for multi line examples in double digit ipython
+ cells by @mosc9575 in #9264
+ * add backend intro and how-to diagram by @JessicaS11 in #9175
+ * Restore ability to specify _FillValue as Python native integers
+ by @djhoese in #9258
+ * Adding open_datatree backend-specific keyword arguments by
+ @aladinor in #9199
+ * Change .groupby fastpath to work for monotonic increasing and
+ decreasing by @JoelJaeschke in #7427
+ * Fully deprecate squeeze kwarg to groupby by @dcherian in #9280
+ * Support rechunking to a frequency. by @dcherian in #9109
+ * automate extracting the contributors by @keewis in #9288
+ * Allow importing from xarray.groupers by @dcherian in #9289
+- Release 2024.06.0
+ * TEST: Fix numbagg or bottlekneck skip by @hmaarrfk in #9034
+ * Use ME in test_plot instead of M by @hmaarrfk in #9035
+ * (fix): equality check against singleton PandasExtensionArray by
+ @ilan-gold in #9032
+ * array api-related upstream-dev failures by @keewis in #8854
+ * User-guide - pandas : Add alternative to
+ xarray.Dataset.from_dataframe by @loco-philippe in #9020
+ * Clarify matmul does xarray.dot by @mthramann in #9060
+ * Run tests on changes to root dotfiles by @max-sixty in #9062
+ * Speed up netCDF4, h5netcdf backends by @dcherian in #9067
+ * citation / orcid by @keewis in #9082
+ * fixes for the pint tests by @keewis in #8983
+ * Address latest pandas-related upstream test failures by
+ @spencerkclark in #9081
+ * Add scottyhq to CITATION.cff by @scottyhq in #9089
+ * Fix Typo in Bfill benchmark by @Ockenfuss in #9087
+ * add link to CF conventions on packed data in
+ doc/user-guide/io.rst by @kmuehlbauer in #9045
+ * add order for polynomial interpolation, fixes #8762 by
+ @nkarasiak in #9079
+ * Fix upcasting with python builtin numbers and numpy 2 by
+ @djhoese in #8946
+ * Add Eni to CITATION.cff by @eni-awowale in #9095
+ * add Jessica to citation by @JessicaS11 in #9096
+ * (fix): don't handle time-dtypes as extension arrays in
+ from_dataframe by @ilan-gold in #9042
+ * Micro optimizations to improve indexing by @hmaarrfk in #9002
+ * DAS-2067 - Migrate datatree io.py and common.py by
+ @owenlittlejohns in #9011
+ * open_datatree performance improvement on NetCDF, H5, and Zarr
+ files by @aladinor in #9014
+ * Adds Matt Savoie to CITATION.cff by @flamingbear in #9103
+ * skip the pandas datetime roundtrip test with pandas=3.0 by
+ @keewis in #9104
+ * Add user survey announcement to docs by @jhamman in #9101
+ * add remaining core-dev citations by @keewis in #9110
+ * Undo custom padding-top. by @dcherian in #9107
+- Drop xarray-pr8854-np2.patch
+- Drop xarray-pr9305-cftime.patch
+ * was actually gh#pydata/xarray#9035
+- Add xarray-pr9321-dasktests.patch gh#pydata/xarray#9321
+- Add xarray-pr9356-dasktests.patch gh#pydata/xarray#9356
+- Add xarray-pr9403-np2.1-scalar.patch gh#pydata/xarray#9403
+- Remove obsolete versions from extra requirements
+
+-------------------------------------------------------------------
Old:
----
xarray-2024.05.0-gh.tar.gz
xarray-pr8854-np2.patch
xarray-pr9305-cftime.patch
New:
----
xarray-2024.07.0-gh.tar.gz
xarray-pr9321-dasktests.patch
xarray-pr9356-dasktests.patch
xarray-pr9403-np2.1-scalar.patch
BETA DEBUG BEGIN:
Old: * Undo custom padding-top. by @dcherian in #9107
- Drop xarray-pr8854-np2.patch
- Drop xarray-pr9305-cftime.patch
Old:- Drop xarray-pr8854-np2.patch
- Drop xarray-pr9305-cftime.patch
* was actually gh#pydata/xarray#9035
BETA DEBUG END:
BETA DEBUG BEGIN:
New: * was actually gh#pydata/xarray#9035
- Add xarray-pr9321-dasktests.patch gh#pydata/xarray#9321
- Add xarray-pr9356-dasktests.patch gh#pydata/xarray#9356
New:- Add xarray-pr9321-dasktests.patch gh#pydata/xarray#9321
- Add xarray-pr9356-dasktests.patch gh#pydata/xarray#9356
- Add xarray-pr9403-np2.1-scalar.patch gh#pydata/xarray#9403
New:- Add xarray-pr9356-dasktests.patch gh#pydata/xarray#9356
- Add xarray-pr9403-np2.1-scalar.patch gh#pydata/xarray#9403
- Remove obsolete versions from extra requirements
BETA DEBUG END:
++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
Other differences:
------------------
++++++ python-xarray.spec ++++++
--- /var/tmp/diff_new_pack.LAJtur/_old 2024-09-09 14:47:05.805313013 +0200
+++ /var/tmp/diff_new_pack.LAJtur/_new 2024-09-09 14:47:05.805313013 +0200
@@ -25,11 +25,11 @@
%define psuffix %{nil}
%endif
-%define ghversion 2024.05.0
+%define ghversion 2024.07.0
%{?sle15_python_module_pythons}
Name: python-xarray%{psuffix}
-Version: 2024.5.0
+Version: 2024.7.0
Release: 0
Summary: N-D labeled arrays and datasets in Python
License: Apache-2.0
@@ -38,10 +38,12 @@
# PATCH-FEATURE-UPSTREAM local_dataset.patch gh#pydata/xarray#5377
mc...@suse.com
# fix xr.tutorial.open_dataset to work with the preloaded cache.
Patch0: local_dataset.patch
-# PATCH-FIX-UPSTREAM xarray-pr8854-np2.patch gh#pydata/xarray#8854
-Patch1: xarray-pr8854-np2.patch
-# PATCH-FIX-UPSTREAM xarray-pr9305-cftime.patch gh#pydata/xarray#9305
-Patch2: xarray-pr9305-cftime.patch
+# PATCH-FIX-UPSTREAM xarray-pr9321-dasktests.patch gh#pydata/xarray#9321
+Patch1: xarray-pr9321-dasktests.patch
+# PATCH-FIX-UPSTREAM xarray-pr9356-dasktests.patch gh#pydata/xarray#9356
+Patch2: xarray-pr9356-dasktests.patch
+# PATCH-FIX-UPSTREAM xarray-pr9403-np2.1-scalar.patch gh#pydata/xarray#9403
+Patch3: xarray-pr9403-np2.1-scalar.patch
BuildRequires: %{python_module base >= 3.9}
BuildRequires: %{python_module pip}
BuildRequires: %{python_module setuptools_scm}
@@ -72,12 +74,12 @@
%package accel
# for minimum versions, check ci/requirements/min-all-deps.yml
Summary: The python xarray[accel] extra
-Requires: python-Bottleneck >= 1.3
+Requires: python-Bottleneck
Requires: python-opt-einsum
Requires: python-scipy
Requires: python-xarray = %{version}
# not available yet
-Recommends: python-flox >= 0.7
+Recommends: python-flox
Recommends: python-numbagg
%description accel
@@ -117,21 +119,21 @@
%package io
Summary: The python xarray[io] extra
-Requires: python-cftime >= 1.6
+Requires: python-cftime
Requires: python-fsspec
-Requires: python-h5netcdf >= 1.1
-Requires: python-netCDF4 >= 1.6
+Requires: python-h5netcdf
+Requires: python-netCDF4
Requires: python-pooch
-Requires: python-scipy >= 1.10
+Requires: python-scipy
Requires: python-xarray = %{version}
-Requires: python-zarr >= 2.13
+Requires: python-zarr
%description io
The [io] extra for xarray, N-D labeled arrays and datasets in Python
%package parallel
Summary: The python xarray[parallel] extra
-Requires: python-dask-complete >= 2022.12
+Requires: python-dask-complete
Requires: python-xarray = %{version}
%description parallel
@@ -139,8 +141,8 @@
%package viz
Summary: The python xarray[viz] extra
-Requires: python-matplotlib >= 3.6
-Requires: python-seaborn >= 0.12
+Requires: python-matplotlib
+Requires: python-seaborn
Requires: python-xarray = %{version}
# Not available yet
Recommends: python-nc-time-axis
++++++ xarray-2024.05.0-gh.tar.gz -> xarray-2024.07.0-gh.tar.gz ++++++
++++ 15539 lines of diff (skipped)
++++++ xarray-pr9321-dasktests.patch ++++++
>From 9406c49fb281d9ffbf88bfd46133288bd23649a4 Mon Sep 17 00:00:00 2001
From: Deepak Cherian <dee...@cherian.net>
Date: Tue, 6 Aug 2024 22:21:29 -0600
Subject: [PATCH 1/2] Fix some dask tests
---
xarray/tests/test_dask.py | 18 +++++++++++-------
1 file changed, 11 insertions(+), 7 deletions(-)
diff --git a/xarray/tests/test_dask.py b/xarray/tests/test_dask.py
index 20491eca91a..1ef759b3d6a 100644
--- a/xarray/tests/test_dask.py
+++ b/xarray/tests/test_dask.py
@@ -640,8 +640,10 @@ def counting_get(*args, **kwargs):
def test_duplicate_dims(self):
data = np.random.normal(size=(4, 4))
- arr = DataArray(data, dims=("x", "x"))
- chunked_array = arr.chunk({"x": 2})
+ with pytest.warns(UserWarning, match="Duplicate dimension"):
+ arr = DataArray(data, dims=("x", "x"))
+ with pytest.warns(UserWarning, match="Duplicate dimension"):
+ chunked_array = arr.chunk({"x": 2})
assert chunked_array.chunks == ((2, 2), (2, 2))
assert chunked_array.chunksizes == {"x": (2, 2)}
@@ -1364,7 +1366,8 @@ def test_map_blocks_ds_transformations(func, map_ds):
@pytest.mark.parametrize("obj", [make_da(), make_ds()])
def test_map_blocks_da_ds_with_template(obj):
func = lambda x: x.isel(x=[1])
- template = obj.isel(x=[1, 5, 9])
+ # a simple .isel(x=[1, 5, 9]) puts all those in a single chunk.
+ template = xr.concat([obj.isel(x=[i]) for i in [1, 5, 9]], dim="x")
with raise_if_dask_computes():
actual = xr.map_blocks(func, obj, template=template)
assert_identical(actual, template)
@@ -1395,15 +1398,16 @@ def test_map_blocks_roundtrip_string_index():
def test_map_blocks_template_convert_object():
da = make_da()
+ ds = da.to_dataset()
+
func = lambda x: x.to_dataset().isel(x=[1])
- template = da.to_dataset().isel(x=[1, 5, 9])
+ template = xr.concat([da.to_dataset().isel(x=[i]) for i in [1, 5, 9]],
dim="x")
with raise_if_dask_computes():
actual = xr.map_blocks(func, da, template=template)
assert_identical(actual, template)
- ds = da.to_dataset()
func = lambda x: x.to_dataarray().isel(x=[1])
- template = ds.to_dataarray().isel(x=[1, 5, 9])
+ template = xr.concat([ds.to_dataarray().isel(x=[i]) for i in [1, 5, 9]],
dim="x")
with raise_if_dask_computes():
actual = xr.map_blocks(func, ds, template=template)
assert_identical(actual, template)
@@ -1429,7 +1433,7 @@ def test_map_blocks_errors_bad_template(obj):
xr.map_blocks(
lambda a: a.isel(x=[1]).assign_coords(x=[120]), # assign bad
index values
obj,
- template=obj.isel(x=[1, 5, 9]),
+ template=xr.concat([obj.isel(x=[i]) for i in [1, 5, 9]], dim="x"),
).compute()
>From 6fa200e542fe18b99a86a53126c10639192ea5e1 Mon Sep 17 00:00:00 2001
From: Deepak Cherian <dee...@cherian.net>
Date: Tue, 6 Aug 2024 22:29:24 -0600
Subject: [PATCH 2/2] Cleanup
---
xarray/tests/test_variable.py | 11 +++++------
1 file changed, 5 insertions(+), 6 deletions(-)
diff --git a/xarray/tests/test_variable.py b/xarray/tests/test_variable.py
index 3f3f1756e45..ff6522c00eb 100644
--- a/xarray/tests/test_variable.py
+++ b/xarray/tests/test_variable.py
@@ -318,12 +318,11 @@ def test_datetime64_valid_range(self):
with pytest.raises(pderror, match=r"Out of bounds nanosecond"):
self.cls(["t"], [data])
- @pytest.mark.xfail(reason="pandas issue 36615")
@pytest.mark.filterwarnings("ignore:Converting non-nanosecond")
def test_timedelta64_valid_range(self):
data = np.timedelta64("200000", "D")
pderror = pd.errors.OutOfBoundsTimedelta
- with pytest.raises(pderror, match=r"Out of bounds nanosecond"):
+ with pytest.raises(pderror, match=r"Cannot convert"):
self.cls(["t"], [data])
def test_pandas_data(self):
@@ -2301,20 +2300,20 @@ def test_chunk(self):
assert blocked.chunks == ((3,), (3, 1))
assert blocked.data.name != first_dask_name
- @pytest.mark.xfail
+ @pytest.mark.skip
def test_0d_object_array_with_list(self):
super().test_0d_object_array_with_list()
- @pytest.mark.xfail
+ @pytest.mark.skip
def test_array_interface(self):
# dask array does not have `argsort`
super().test_array_interface()
- @pytest.mark.xfail
+ @pytest.mark.skip
def test_copy_index(self):
super().test_copy_index()
- @pytest.mark.xfail
+ @pytest.mark.skip
@pytest.mark.filterwarnings("ignore:elementwise comparison
failed.*:FutureWarning")
def test_eq_all_dtypes(self):
super().test_eq_all_dtypes()
++++++ xarray-pr9356-dasktests.patch ++++++
>From 70e3f30d5a636f6d847acb2dd0d12cffeb601d41 Mon Sep 17 00:00:00 2001
From: Deepak Cherian <dee...@cherian.net>
Date: Tue, 13 Aug 2024 19:47:10 -0600
Subject: [PATCH 1/2] xfail np.cross tests
xref #9327
---
xarray/core/computation.py | 6 +++---
xarray/tests/test_computation.py | 12 ++++++++----
2 files changed, 11 insertions(+), 7 deletions(-)
diff --git a/xarray/core/computation.py b/xarray/core/computation.py
index 5d21d0836b9..bb7122e82de 100644
--- a/xarray/core/computation.py
+++ b/xarray/core/computation.py
@@ -23,7 +23,7 @@
from xarray.core.merge import merge_attrs, merge_coordinates_without_align
from xarray.core.options import OPTIONS, _get_keep_attrs
from xarray.core.types import Dims, T_DataArray
-from xarray.core.utils import is_dict_like, is_duck_dask_array, is_scalar,
parse_dims
+from xarray.core.utils import is_dict_like, is_scalar, parse_dims
from xarray.core.variable import Variable
from xarray.namedarray.parallelcompat import get_chunked_array_type
from xarray.namedarray.pycompat import is_chunked_array
@@ -1693,11 +1693,11 @@ def cross(
if a.sizes[dim] < b.sizes[dim]:
a = a.pad({dim: (0, 1)}, constant_values=0)
# TODO: Should pad or apply_ufunc handle correct chunking?
- a = a.chunk({dim: -1}) if is_duck_dask_array(a.data) else a
+ a = a.chunk({dim: -1}) if is_chunked_array(a.data) else a
else:
b = b.pad({dim: (0, 1)}, constant_values=0)
# TODO: Should pad or apply_ufunc handle correct chunking?
- b = b.chunk({dim: -1}) if is_duck_dask_array(b.data) else b
+ b = b.chunk({dim: -1}) if is_chunked_array(b.data) else b
else:
raise ValueError(
f"{dim!r} on {'a' if a.sizes[dim] == 1 else 'b'} is
incompatible:"
diff --git a/xarray/tests/test_computation.py b/xarray/tests/test_computation.py
index 8b480b02472..e974b8b1ac8 100644
--- a/xarray/tests/test_computation.py
+++ b/xarray/tests/test_computation.py
@@ -2547,7 +2547,8 @@ def test_polyfit_polyval_integration(
"cartesian",
1,
],
- [ # Test 1 sized arrays with coords:
+ # Test 1 sized arrays with coords:
+ pytest.param(
xr.DataArray(
np.array([1]),
dims=["cartesian"],
@@ -2562,8 +2563,10 @@ def test_polyfit_polyval_integration(
np.array([4, 5, 6]),
"cartesian",
-1,
- ],
- [ # Test filling in between with coords:
+ marks=(pytest.mark.xfail(),),
+ ),
+ # Test filling in between with coords:
+ pytest.param(
xr.DataArray(
[1, 2],
dims=["cartesian"],
@@ -2578,7 +2581,8 @@ def test_polyfit_polyval_integration(
np.array([4, 5, 6]),
"cartesian",
-1,
- ],
+ marks=(pytest.mark.xfail(),),
+ ),
],
)
def test_cross(a, b, ae, be, dim: str, axis: int, use_dask: bool) -> None:
>From deb9e3266ca163575b200960c14c87fc999dcfc6 Mon Sep 17 00:00:00 2001
From: Deepak Cherian <dee...@cherian.net>
Date: Tue, 13 Aug 2024 19:49:56 -0600
Subject: [PATCH 2/2] Force numpy>=2
---
ci/requirements/environment.yml | 2 +-
1 file changed, 1 insertion(+), 1 deletion(-)
diff --git a/ci/requirements/environment.yml b/ci/requirements/environment.yml
index ef02a3e7f23..40ef4a7fc74 100644
--- a/ci/requirements/environment.yml
+++ b/ci/requirements/environment.yml
@@ -26,7 +26,7 @@ dependencies:
- numba
- numbagg
- numexpr
- - numpy
+ - numpy>=2
- opt_einsum
- packaging
- pandas
++++++ xarray-pr9403-np2.1-scalar.patch ++++++
>From 17367f3545a48d8b8a18bf8f7054b19351c255dc Mon Sep 17 00:00:00 2001
From: Justus Magin <kee...@posteo.de>
Date: Tue, 27 Aug 2024 15:18:32 +0200
Subject: [PATCH 1/3] also call `np.asarray` on numpy scalars
---
xarray/core/variable.py | 2 +-
1 file changed, 1 insertion(+), 1 deletion(-)
Index: xarray-2024.07.0/xarray/core/variable.py
===================================================================
--- xarray-2024.07.0.orig/xarray/core/variable.py
+++ xarray-2024.07.0/xarray/core/variable.py
@@ -309,7 +309,7 @@ def as_compatible_data(
else:
data = np.asarray(data)
- if not isinstance(data, np.ndarray) and (
+ if not isinstance(data, np.ndarray | np.generic) and (
hasattr(data, "__array_function__") or hasattr(data,
"__array_namespace__")
):
return cast("T_DuckArray", data)
Index: xarray-2024.07.0/xarray/tests/test_variable.py
===================================================================
--- xarray-2024.07.0.orig/xarray/tests/test_variable.py
+++ xarray-2024.07.0/xarray/tests/test_variable.py
@@ -2585,10 +2585,15 @@ class TestAsCompatibleData(Generic[T_Duc
assert source_ndarray(x) is
source_ndarray(as_compatible_data(x))
def test_converted_types(self):
- for input_array in [[[0, 1, 2]], pd.DataFrame([[0, 1, 2]])]:
+ for input_array in [
+ [[0, 1, 2]],
+ pd.DataFrame([[0, 1, 2]]),
+ np.float64(1.4),
+ np.str_("abc"),
+ ]:
actual = as_compatible_data(input_array)
assert_array_equal(np.asarray(input_array), actual)
- assert np.ndarray == type(actual)
+ assert np.ndarray is type(actual)
assert np.asarray(input_array).dtype == actual.dtype
def test_masked_array(self):
