Received: by mail.netbsd.org (Postfix, from userid 605) id 65D7D84DEE; Sat, 11 Apr 2020 13:47:10 +0000 (UTC) Received: from localhost (localhost [127.0.0.1]) by mail.netbsd.org (Postfix) with ESMTP id E19D384DDD for ; Sat, 11 Apr 2020 13:47:09 +0000 (UTC) X-Virus-Scanned: amavisd-new at netbsd.org Received: from mail.netbsd.org ([127.0.0.1]) by localhost (mail.netbsd.org [127.0.0.1]) (amavisd-new, port 10025) with ESMTP id sriTEq95lbjk for ; Sat, 11 Apr 2020 13:47:08 +0000 (UTC) Received: from cvs.NetBSD.org (ivanova.netbsd.org [199.233.217.197]) by mail.netbsd.org (Postfix) with ESMTP id 6631A84CEF for ; Sat, 11 Apr 2020 13:47:08 +0000 (UTC) Received: by cvs.NetBSD.org (Postfix, from userid 500) id 5E860FB27; Sat, 11 Apr 2020 13:47:08 +0000 (UTC) Content-Transfer-Encoding: 7bit Content-Type: multipart/mixed; boundary="_----------=_1586612828162860" MIME-Version: 1.0 Date: Sat, 11 Apr 2020 13:47:08 +0000 From: "Adam Ciarcinski" Subject: CVS commit: pkgsrc/math/py-xarray To: pkgsrc-changes@NetBSD.org Reply-To: adam@netbsd.org X-Mailer: log_accum Message-Id: <20200411134708.5E860FB27@cvs.NetBSD.org> Sender: pkgsrc-changes-owner@NetBSD.org List-Id: pkgsrc-changes.NetBSD.org Precedence: bulk List-Unsubscribe: This is a multi-part message in MIME format. --_----------=_1586612828162860 Content-Disposition: inline Content-Transfer-Encoding: 8bit Content-Type: text/plain; charset="US-ASCII" Module Name: pkgsrc Committed By: adam Date: Sat Apr 11 13:47:08 UTC 2020 Modified Files: pkgsrc/math/py-xarray: Makefile PLIST distinfo Log Message: py-xarray: updated to 0.15.1 v0.15.1: This release brings many new features such as :py:meth:`Dataset.weighted` methods for weighted array reductions, a new jupyter repr by default, and the start of units integration with pint. There's also the usual batch of usability improvements, documentation additions, and bug fixes. Breaking changes - Raise an error when assigning to the ``.values`` or ``.data`` attribute of dimension coordinates i.e. ``IndexVariable`` objects. This has been broken since v0.12.0. Please use :py:meth:`DataArray.assign_coords` or :py:meth:`Dataset.assign_coords` instead. New Features - Weighted array reductions are now supported via the new :py:meth:`DataArray.weighted` and :py:meth:`Dataset.weighted` methods. See :ref:`comput.weighted`. - The new jupyter notebook repr (``Dataset._repr_html_`` and ``DataArray._repr_html_``) (introduced in 0.14.1) is now on by default. To disable, use ``xarray.set_options(display_style="text")``. - Added support for :py:class:`pandas.DatetimeIndex`-style rounding of ``cftime.datetime`` objects directly via a :py:class:`CFTimeIndex` or via the :py:class:`~core.accessor_dt.DatetimeAccessor`. - Support new h5netcdf backend keyword `phony_dims` (available from h5netcdf v0.8.0 for :py:class:`~xarray.backends.H5NetCDFStore`. - Add partial support for unit aware arrays with pint. - :py:meth:`Dataset.groupby` and :py:meth:`DataArray.groupby` now raise a `TypeError` on multiple string arguments. Receiving multiple string arguments often means a user is attempting to pass multiple dimensions as separate arguments and should instead pass a single list of dimensions. - :py:func:`map_blocks` can now apply functions that add new unindexed dimensions. - An ellipsis (``...``) is now supported in the ``dims`` argument of :py:meth:`Dataset.stack` and :py:meth:`DataArray.stack`, meaning all unlisted dimensions, similar to its meaning in :py:meth:`DataArray.transpose`. - :py:meth:`Dataset.where` and :py:meth:`DataArray.where` accept a lambda as a first argument, which is then called on the input; replicating pandas' behavior. - ``skipna`` is available in :py:meth:`Dataset.quantile`, :py:meth:`DataArray.quantile`, :py:meth:`core.groupby.DatasetGroupBy.quantile`, :py:meth:`core.groupby.DataArrayGroupBy.quantile` Bug fixes - Fix :py:meth:`Dataset.interp` when indexing array shares coordinates with the indexed variable - Fix recombination of groups in :py:meth:`Dataset.groupby` and :py:meth:`DataArray.groupby` when performing an operation that changes the size of the groups along the grouped dimension. By `Eric Jansen `_. - Fix use of multi-index with categorical values - Fix alignment with ``join="override"`` when some dimensions are unindexed. - Fix :py:meth:`Dataset.swap_dims` and :py:meth:`DataArray.swap_dims` producing index with name reflecting the previous dimension name instead of the new one - Use ``dask_array_type`` instead of ``dask_array.Array`` for type checking. - :py:func:`concat` can now handle coordinate variables only present in one of the objects to be concatenated when ``coords="different"``. - xarray now respects the over, under and bad colors if set on a provided colormap. - :py:func:`coarsen` now respects ``xr.set_options(keep_attrs=True)`` to preserve attributes. :py:meth:`Dataset.coarsen` accepts a keyword argument ``keep_attrs`` to change this setting. :pull:`3801`) By `Andrew Thomas `_. - Delete associated indexes when deleting coordinate variables. - Fix :py:meth:`xarray.core.dataset.Dataset.to_zarr` when using `append_dim` and `group` simultaneously. - Fix html repr on :py:class:`Dataset` with non-string keys Documentation - Fix documentation of :py:class:`DataArray` removing the deprecated mention that when omitted, `dims` are inferred from a `coords`-dict. - Improve the :py:func:`where` docstring. - Update the installation instructions: only explicitly list recommended dependencies Internal Changes - Remove the internal ``import_seaborn`` function which handled the deprecation of the ``seaborn.apionly`` entry point - Don't test pint integration in combination with datetime objects. - Change test_open_mfdataset_list_attr to only run with dask installed - Preserve the ability to index with ``method="nearest"`` with a :py:class:`CFTimeIndex` with pandas versions greater than 1.0.1 - Greater flexibility and improved test coverage of subtracting various types of objects from a :py:class:`CFTimeIndex`. By `Spencer Clark `_. - Update Azure CI MacOS image, given pending removal. - Remove xfails for scipy 1.0.1 for tests that append to netCDF files - Remove conversion to :py:class:`pandas.Panel`, given its removal in pandas in favor of xarray's objects. v0.15.0: This release brings many improvements to xarray's documentation: our examples are now binderized notebooks (`click here `_) and we have new example notebooks from our SciPy 2019 sprint (many thanks to our contributors!). This release also features many API improvements such as a new :py:class:`~core.accessor_dt.TimedeltaAccessor` and support for :py:class:`CFTimeIndex` in :py:meth:`~DataArray.interpolate_na`); as well as many bug fixes. Breaking changes - Bumped minimum tested versions for dependencies: - numpy 1.15 - pandas 0.25 - dask 2.2 - distributed 2.2 - scipy 1.3 - Remove ``compat`` and ``encoding`` kwargs from ``DataArray``, which have been deprecated since 0.12. Instead, specify the ``encoding`` kwarg when writing to disk or set the :py:attr:`DataArray.encoding` attribute directly. - :py:func:`xarray.dot`, :py:meth:`DataArray.dot`, and the ``@`` operator now use ``align="inner"`` (except when ``xarray.set_options(arithmetic_join="exact")``; New Features - Implement :py:meth:`DataArray.pad` and :py:meth:`Dataset.pad`. - :py:meth:`DataArray.sel` and :py:meth:`Dataset.sel` now support :py:class:`pandas.CategoricalIndex`. - Support using an existing, opened h5netcdf ``File`` with :py:class:`~xarray.backends.H5NetCDFStore`. This permits creating an :py:class:`~xarray.Dataset` from a h5netcdf ``File`` that has been opened using other means - Implement ``median`` and ``nanmedian`` for dask arrays. This works by rechunking to a single chunk along all reduction axes. - :py:func:`~xarray.concat` now preserves attributes from the first Variable. - :py:meth:`Dataset.quantile`, :py:meth:`DataArray.quantile` and ``GroupBy.quantile`` now work with dask Variables. - Added the ``count`` reduction method to both :py:class:`~core.rolling.DatasetCoarsen` and :py:class:`~core.rolling.DataArrayCoarsen` objects. - Add ``meta`` kwarg to :py:func:`~xarray.apply_ufunc`; this is passed on to :py:func:`dask.array.blockwise`. - Add ``attrs_file`` option in :py:func:`~xarray.open_mfdataset` to choose the source file for global attributes in a multi-file dataset :pull:`3498`). By `Julien Seguinot `_. - :py:meth:`Dataset.swap_dims` and :py:meth:`DataArray.swap_dims` now allow swapping to dimension names that don't exist yet. - Extend :py:class:`~core.accessor_dt.DatetimeAccessor` properties and support ``.dt`` accessor for timedeltas via :py:class:`~core.accessor_dt.TimedeltaAccessor` - Improvements to interpolating along time axes - Support :py:class:`CFTimeIndex` in :py:meth:`DataArray.interpolate_na` - define 1970-01-01 as the default offset for the interpolation index for both :py:class:`pandas.DatetimeIndex` and :py:class:`CFTimeIndex`, - use microseconds in the conversion from timedelta objects to floats to avoid overflow errors. Bug fixes - Applying a user-defined function that adds new dimensions using :py:func:`apply_ufunc` and ``vectorize=True`` now works with ``dask > 2.0``. - Fix :py:meth:`~xarray.combine_by_coords` to allow for combining incomplete hypercubes of Datasets - Fix :py:func:`~xarray.combine_by_coords` when combining cftime coordinates which span long time intervals - Fix plotting with transposed 2D non-dimensional coordinates. - :py:meth:`plot.FacetGrid.set_titles` can now replace existing row titles of a :py:class:`~xarray.plot.FacetGrid` plot. In addition :py:class:`~xarray.plot.FacetGrid` gained two new attributes: :py:attr:`~xarray.plot.FacetGrid.col_labels` and :py:attr:`~xarray.plot.FacetGrid.row_labels` contain :py:class:`matplotlib.text.Text` handles for both column and row labels. These can be used to manually change the labels. - Fix issue with Dask-backed datasets raising a ``KeyError`` on some computations involving :py:func:`map_blocks` - Ensure :py:meth:`Dataset.quantile`, :py:meth:`DataArray.quantile` issue the correct error when ``q`` is out of bounds - Fix regression in xarray 0.14.1 that prevented encoding times with certain ``dtype``, ``_FillValue``, and ``missing_value`` encodings - Raise an error when trying to use :py:meth:`Dataset.rename_dims` to rename to an existing name - :py:meth:`Dataset.rename`, :py:meth:`DataArray.rename` now check for conflicts with MultiIndex level names. - :py:meth:`Dataset.merge` no longer fails when passed a :py:class:`DataArray` instead of a :py:class:`Dataset`. - Fix a regression in :py:meth:`Dataset.drop`: allow passing any iterable when dropping variables - Fixed errors emitted by ``mypy --strict`` in modules that import xarray. - Allow plotting of binned coordinates on the y axis in :py:meth:`plot.line` and :py:meth:`plot.step` plots - setuptools is now marked as a dependency of xarray Documentation - Switch doc examples to use `nbsphinx `_ and replace ``sphinx_gallery`` scripts with Jupyter notebooks. - Added :doc:`example notebook ` demonstrating use of xarray with Regional Ocean Modeling System (ROMS) ocean hydrodynamic model output. - Added :doc:`example notebook ` demonstrating the visualization of ERA5 GRIB data. `Stephan Siemen `_. - Added examples for :py:meth:`DataArray.quantile`, :py:meth:`Dataset.quantile` and ``GroupBy.quantile``. - Add new :doc:`example notebook ` example notebook demonstrating vectorization of a 1D function using :py:func:`apply_ufunc` , dask and numba. - Added example for :py:func:`~xarray.map_blocks`. Internal Changes - Make sure dask names change when rechunking by different chunk sizes. Conversely, make sure they stay the same when rechunking by the same chunk size. - 2x to 5x speed boost (on small arrays) for :py:meth:`Dataset.isel`, :py:meth:`DataArray.isel`, and :py:meth:`DataArray.__getitem__` when indexing by int, slice, list of int, scalar ndarray, or 1-dimensional ndarray. - Removed internal method ``Dataset._from_vars_and_coord_names``, which was dominated by ``Dataset._construct_direct``. - Replaced versioneer with setuptools-scm. Moved contents of setup.py to setup.cfg. Removed pytest-runner from setup.py, as per deprecation notice on the pytest-runner project. - Use of isort is now enforced by CI. To generate a diff of this commit: cvs rdiff -u -r1.2 -r1.3 pkgsrc/math/py-xarray/Makefile cvs rdiff -u -r1.1 -r1.2 pkgsrc/math/py-xarray/PLIST \ pkgsrc/math/py-xarray/distinfo Please note that diffs are not public domain; they are subject to the copyright notices on the relevant files. --_----------=_1586612828162860 Content-Disposition: inline Content-Length: 6298 Content-Transfer-Encoding: binary Content-Type: text/x-diff; charset=us-ascii Modified files: Index: pkgsrc/math/py-xarray/Makefile diff -u pkgsrc/math/py-xarray/Makefile:1.2 pkgsrc/math/py-xarray/Makefile:1.3 --- pkgsrc/math/py-xarray/Makefile:1.2 Sat Sep 21 21:10:49 2019 +++ pkgsrc/math/py-xarray/Makefile Sat Apr 11 13:47:08 2020 @@ -1,8 +1,8 @@ -# $NetBSD: Makefile,v 1.2 2019/09/21 21:10:49 minskim Exp $ +# $NetBSD: Makefile,v 1.3 2020/04/11 13:47:08 adam Exp $ -DISTNAME= xarray-0.13.0 +DISTNAME= xarray-0.15.1 PKGNAME= ${PYPKGPREFIX}-${DISTNAME} -CATEGORIES= math +CATEGORIES= math python MASTER_SITES= ${MASTER_SITE_PYPI:=x/xarray/} MAINTAINER= jihbed.research@gmail.com @@ -12,10 +12,11 @@ LICENSE= apache-2.0 DEPENDS+= ${PYPKGPREFIX}-numpy>=1.0:../../math/py-numpy DEPENDS+= ${PYPKGPREFIX}-pandas>=0.18.1:../../math/py-pandas - -PYTHON_VERSIONS_INCOMPATIBLE= 27 # py-pandads +DEPENDS+= ${PYPKGPREFIX}-setuptools>=41.2:../../devel/py-setuptools USE_LANGUAGES= # none +PYTHON_VERSIONS_INCOMPATIBLE= 27 # py-pandads + .include "../../lang/python/egg.mk" .include "../../mk/bsd.pkg.mk" Index: pkgsrc/math/py-xarray/PLIST diff -u pkgsrc/math/py-xarray/PLIST:1.1 pkgsrc/math/py-xarray/PLIST:1.2 --- pkgsrc/math/py-xarray/PLIST:1.1 Sat Sep 21 18:14:21 2019 +++ pkgsrc/math/py-xarray/PLIST Sat Apr 11 13:47:08 2020 @@ -1,15 +1,13 @@ -@comment $NetBSD: PLIST,v 1.1 2019/09/21 18:14:21 minskim Exp $ +@comment $NetBSD: PLIST,v 1.2 2020/04/11 13:47:08 adam Exp $ ${PYSITELIB}/${EGG_INFODIR}/PKG-INFO ${PYSITELIB}/${EGG_INFODIR}/SOURCES.txt ${PYSITELIB}/${EGG_INFODIR}/dependency_links.txt +${PYSITELIB}/${EGG_INFODIR}/not-zip-safe ${PYSITELIB}/${EGG_INFODIR}/requires.txt ${PYSITELIB}/${EGG_INFODIR}/top_level.txt ${PYSITELIB}/xarray/__init__.py ${PYSITELIB}/xarray/__init__.pyc ${PYSITELIB}/xarray/__init__.pyo -${PYSITELIB}/xarray/_version.py -${PYSITELIB}/xarray/_version.pyc -${PYSITELIB}/xarray/_version.pyo ${PYSITELIB}/xarray/backends/__init__.py ${PYSITELIB}/xarray/backends/__init__.pyc ${PYSITELIB}/xarray/backends/__init__.pyo @@ -139,6 +137,9 @@ ${PYSITELIB}/xarray/core/extensions.pyo ${PYSITELIB}/xarray/core/formatting.py ${PYSITELIB}/xarray/core/formatting.pyc ${PYSITELIB}/xarray/core/formatting.pyo +${PYSITELIB}/xarray/core/formatting_html.py +${PYSITELIB}/xarray/core/formatting_html.pyc +${PYSITELIB}/xarray/core/formatting_html.pyo ${PYSITELIB}/xarray/core/groupby.py ${PYSITELIB}/xarray/core/groupby.pyc ${PYSITELIB}/xarray/core/groupby.pyo @@ -169,6 +170,9 @@ ${PYSITELIB}/xarray/core/ops.pyo ${PYSITELIB}/xarray/core/options.py ${PYSITELIB}/xarray/core/options.pyc ${PYSITELIB}/xarray/core/options.pyo +${PYSITELIB}/xarray/core/parallel.py +${PYSITELIB}/xarray/core/parallel.pyc +${PYSITELIB}/xarray/core/parallel.pyo ${PYSITELIB}/xarray/core/pdcompat.py ${PYSITELIB}/xarray/core/pdcompat.pyc ${PYSITELIB}/xarray/core/pdcompat.pyo @@ -193,6 +197,9 @@ ${PYSITELIB}/xarray/core/utils.pyo ${PYSITELIB}/xarray/core/variable.py ${PYSITELIB}/xarray/core/variable.pyc ${PYSITELIB}/xarray/core/variable.pyo +${PYSITELIB}/xarray/core/weighted.py +${PYSITELIB}/xarray/core/weighted.pyc +${PYSITELIB}/xarray/core/weighted.pyo ${PYSITELIB}/xarray/plot/__init__.py ${PYSITELIB}/xarray/plot/__init__.pyc ${PYSITELIB}/xarray/plot/__init__.pyo @@ -209,6 +216,8 @@ ${PYSITELIB}/xarray/plot/utils.py ${PYSITELIB}/xarray/plot/utils.pyc ${PYSITELIB}/xarray/plot/utils.pyo ${PYSITELIB}/xarray/py.typed +${PYSITELIB}/xarray/static/css/style.css +${PYSITELIB}/xarray/static/html/icons-svg-inline.html ${PYSITELIB}/xarray/testing.py ${PYSITELIB}/xarray/testing.pyc ${PYSITELIB}/xarray/testing.pyo @@ -299,6 +308,9 @@ ${PYSITELIB}/xarray/tests/test_extension ${PYSITELIB}/xarray/tests/test_formatting.py ${PYSITELIB}/xarray/tests/test_formatting.pyc ${PYSITELIB}/xarray/tests/test_formatting.pyo +${PYSITELIB}/xarray/tests/test_formatting_html.py +${PYSITELIB}/xarray/tests/test_formatting_html.pyc +${PYSITELIB}/xarray/tests/test_formatting_html.pyo ${PYSITELIB}/xarray/tests/test_groupby.py ${PYSITELIB}/xarray/tests/test_groupby.pyc ${PYSITELIB}/xarray/tests/test_groupby.pyo @@ -338,12 +350,18 @@ ${PYSITELIB}/xarray/tests/test_tutorial. ${PYSITELIB}/xarray/tests/test_ufuncs.py ${PYSITELIB}/xarray/tests/test_ufuncs.pyc ${PYSITELIB}/xarray/tests/test_ufuncs.pyo +${PYSITELIB}/xarray/tests/test_units.py +${PYSITELIB}/xarray/tests/test_units.pyc +${PYSITELIB}/xarray/tests/test_units.pyo ${PYSITELIB}/xarray/tests/test_utils.py ${PYSITELIB}/xarray/tests/test_utils.pyc ${PYSITELIB}/xarray/tests/test_utils.pyo ${PYSITELIB}/xarray/tests/test_variable.py ${PYSITELIB}/xarray/tests/test_variable.pyc ${PYSITELIB}/xarray/tests/test_variable.pyo +${PYSITELIB}/xarray/tests/test_weighted.py +${PYSITELIB}/xarray/tests/test_weighted.pyc +${PYSITELIB}/xarray/tests/test_weighted.pyo ${PYSITELIB}/xarray/tutorial.py ${PYSITELIB}/xarray/tutorial.pyc ${PYSITELIB}/xarray/tutorial.pyo @@ -353,6 +371,6 @@ ${PYSITELIB}/xarray/ufuncs.pyo ${PYSITELIB}/xarray/util/__init__.py ${PYSITELIB}/xarray/util/__init__.pyc ${PYSITELIB}/xarray/util/__init__.pyo +${PYSITELIB}/xarray/util/print_versions.py ${PYSITELIB}/xarray/util/print_versions.pyc ${PYSITELIB}/xarray/util/print_versions.pyo -${PYSITELIB}/xarray/util/print_versions.py Index: pkgsrc/math/py-xarray/distinfo diff -u pkgsrc/math/py-xarray/distinfo:1.1 pkgsrc/math/py-xarray/distinfo:1.2 --- pkgsrc/math/py-xarray/distinfo:1.1 Sat Sep 21 18:14:21 2019 +++ pkgsrc/math/py-xarray/distinfo Sat Apr 11 13:47:08 2020 @@ -1,6 +1,6 @@ -$NetBSD: distinfo,v 1.1 2019/09/21 18:14:21 minskim Exp $ +$NetBSD: distinfo,v 1.2 2020/04/11 13:47:08 adam Exp $ -SHA1 (xarray-0.13.0.tar.gz) = 99a1feb68499c2954e3e407f6d382a9ca0eec23b -RMD160 (xarray-0.13.0.tar.gz) = ac1dd2421efed8f0a4ef0ab2c4e7f30551ef2e88 -SHA512 (xarray-0.13.0.tar.gz) = 09f25e5ec06c1ff904ad24a01d24de719aa4903d214115ce1d5bbab21b0acc6b9374845da728495aaf67984cbf06b9d93dd5035cf25ec5c918977be707b3898d -Size (xarray-0.13.0.tar.gz) = 1821280 bytes +SHA1 (xarray-0.15.1.tar.gz) = 40efe1711499dab9d2c47c32721eca416a75b30f +RMD160 (xarray-0.15.1.tar.gz) = 215db3e091b5d6712390116a4006cda7fbab226b +SHA512 (xarray-0.15.1.tar.gz) = 8a2d7e9173c51c65ffe856fa83df730e0e7de9777726c6d6e8f7f4edcc512b3a980c7dc854c19d3bc4bec50e815ad776bd433a5750680f2851a2b0b1f505ea14 +Size (xarray-0.15.1.tar.gz) = 1934184 bytes --_----------=_1586612828162860--