chore(deps): update minor updates #2
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This PR contains the following updates:
5.2.1->5.3.41.1.8->1.2.11.0.1->1.10.01.24.2->1.26.47.2.1->7.4.4Release Notes
astropy/astropy (astropy)
v5.3.4Compare Source
==========================
Bug Fixes
astropy.io.misc
^^^^^^^^^^^^^^^
astropy.io.misc.yamlsodump()` with a numpy object array orload()with YAML representing a Numpy object array both raiseTypeError``. This prevents problems like a segmentation fault. [#15373]astropy.io.votable
^^^^^^^^^^^^^^^^^^
convert_to_writable_filelikewhereGzipFilewas notclosed properly. [#15359]
astropy.units
^^^^^^^^^^^^^
In VOUnit, the spaces around the slash were removed in the formatting of
fractions, and fractional powers now also use the "**" operator. [#15282]
We now ensure that the unit
u.cgs.cmis just an alias ofu.si.cm,instead of a redefinition. This ensures that
u.Unit("cm") / u.cmwill reliably cancel to dimensionless (instead of some "cm / cm"). [#15368]
astropy.utils
^^^^^^^^^^^^^
Masked,np.ptpand the.ptp()method now properly account forthe mask, ensuring the result is identical to subtracting the maximum and
minimum (with the same arguments). [#15380]
Other Changes and Additions
Compatibility with Python 3.12. [#14784]
Replaced the URL of
IETF_LEAP_SECOND_URLbecause the original is nowdefunct and IETF now defers to IANA for such look-up. [#15421]
v5.3.3Compare Source
===========================
Bug Fixes
astropy.coordinates
^^^^^^^^^^^^^^^^^^^
TransformGraph.to_dot_graph()now throws an exception for invalidsavelayout.astropy.cosmology
^^^^^^^^^^^^^^^^^
w0wzCDMfunctions ininv_efunchas been corrected to 3, from -3. [#15224]astropy.modeling
^^^^^^^^^^^^^^^^
filter_non_finitekeyword argument in a fitter call. Now when
filter_non_finiteis True,non-finite weights will also be filtered to prevent crashes in
LevMarLSQFitter. [#15215]astropy.units
^^^^^^^^^^^^^
astropy.units.Quantity's implementation ofnumpy.nanmedian(),where for Numpy >= 1.25 an exception was raised for some array shapes and axis
combinations. [#15228]
Other Changes and Additions
v5.3.2Compare Source
==========================
Bug Fixes
astropy.coordinates
^^^^^^^^^^^^^^^^^^^
-OOflag. [#15037]astropy.nddata
^^^^^^^^^^^^^^
NDDatawithout masks or units. [#15082]astropy.units
^^^^^^^^^^^^^
np.power()for instances ofQuantitytoallow any array as the second operand if all its elements have the same value. [#15101]
v5.3.1Compare Source
==========================
Bug Fixes
astropy.cosmology
^^^^^^^^^^^^^^^^^
wowzCDM.de_density_scalehas been corrected to 3, from -3. [#14991]astropy.io.fits
^^^^^^^^^^^^^^^
Fix crash when a PrimaryHDU has a GROUPS keyword with a non-boolean value (i.e.
not a random-groups HDU). [#14998]
Fixed a bug that caused
Cutout2Dto not work correctly withCompImageHDU.section[#14999]Fixed a bug that caused compressed images with TFORM missing the optional '1' prefix to not be readable. [#15001]
astropy.modeling
^^^^^^^^^^^^^^^^
astropy.nddata
^^^^^^^^^^^^^^
NDData.mask, plus a fixfor arithmetic between masked and unmasked
NDDataobjects. [#14995]astropy.table
^^^^^^^^^^^^^
order of rows within groups to not match the original table order when an indexed table
was grouped. [#14907]
astropy.units
^^^^^^^^^^^^^
v5.3Compare Source
==========================
Bug Fixes
astropy.io.misc
^^^^^^^^^^^^^^^
astropy.io.misc.yamlsodump()` with a numpy object array orload()with YAML representing a Numpy object array both raiseTypeError``. This prevents problems like a segmentation fault. [#15373]astropy.io.votable
^^^^^^^^^^^^^^^^^^
convert_to_writable_filelikewhereGzipFilewas notclosed properly. [#15359]
astropy.units
^^^^^^^^^^^^^
In VOUnit, the spaces around the slash were removed in the formatting of
fractions, and fractional powers now also use the "**" operator. [#15282]
We now ensure that the unit
u.cgs.cmis just an alias ofu.si.cm,instead of a redefinition. This ensures that
u.Unit("cm") / u.cmwill reliably cancel to dimensionless (instead of some "cm / cm"). [#15368]
astropy.utils
^^^^^^^^^^^^^
Masked,np.ptpand the.ptp()method now properly account forthe mask, ensuring the result is identical to subtracting the maximum and
minimum (with the same arguments). [#15380]
Other Changes and Additions
Compatibility with Python 3.12. [#14784]
Replaced the URL of
IETF_LEAP_SECOND_URLbecause the original is nowdefunct and IETF now defers to IANA for such look-up. [#15421]
v5.2.2Compare Source
==========================
Bug Fixes
astropy.io.ascii
^^^^^^^^^^^^^^^^
km/s/Mpcnow parse correctly as being equal tokm/(s.Mpc). [#14369]astropy.io.fits
^^^^^^^^^^^^^^^
FITSDiffwhen table contains a VLA column with the Q type. [#14539]astropy.table
^^^^^^^^^^^^^
QTablewhen aQuantityinput column is present and theunitsargument modifies the unit of that column. This now works as expected wherepreviously this caused an exception. [#14357]
astropy.units
^^^^^^^^^^^^^
km/s/Mpcnow parsecorrectly as being equal to
km/(s.Mpc). [#14369]astropy.wcs
^^^^^^^^^^^
not work correctly under certain conditions if they did not have
world_n_dimand
pixel_n_dimdefined on them. [#14495]esheldon/fitsio (fitsio)
v1.2.1Compare Source
Changes
Bug Fixes
v1.2.0Compare Source
Changes
Bug Fixes
v1.1.10Compare Source
Changes
Bug Fixes
v1.1.9Compare Source
Changes
Bug Fixes
- Bug updating header string cards was adding new key rather than updating
- Bug gzip compression when not using quantization
python/mypy (mypy)
v1.10.0Compare Source
v1.9.0Compare Source
v1.8.0Compare Source
v1.7.1Compare Source
v1.7.0Compare Source
v1.6.1Compare Source
v1.6.0Compare Source
v1.5.1Compare Source
v1.5.0Compare Source
v1.4.1Compare Source
v1.4.0Compare Source
v1.3.0Compare Source
v1.2.0Compare Source
v1.1.1Compare Source
Monday, 6 March 2023
We’ve just uploaded mypy 1.1.1 to the Python Package Index (PyPI). Mypy is a static type checker for Python. This release includes new features, performance improvements and bug fixes. You can install it as follows:
You can read the full documentation for this release on Read the Docs.
Support for `dataclass_transform``
This release adds full support for the dataclass_transform decorator defined in PEP 681. This allows decorators, base classes, and metaclasses that generate a __init__ method or other methods based on the properties of that class (similar to dataclasses) to have those methods recognized by mypy.
This was contributed by Wesley Collin Wright.
Dedicated Error Code for Method Assignments
Mypy can’t safely check all assignments to methods (a form of monkey patching), so mypy generates an error by default. To make it easier to ignore this error, mypy now uses the new error code method-assign for this. By disabling this error code in a file or globally, mypy will no longer complain about assignments to methods if the signatures are compatible.
Mypy also supports the old error code assignment for these assignments to prevent a backward compatibility break. More generally, we can use this mechanism in the future if we wish to split or rename another existing error code without causing backward compatibility issues.
This was contributed by Ivan Levkivskyi (PR 14570).
Fixes to Crashes
Fixes to Cache Corruption
Mypyc Fixes and Improvements
Fixes to Detecting Undefined Names (used-before-def)
Stubgen Improvements
Stubgen is a tool for automatically generating draft stubs for libraries.
Stubtest Improvements
Stubtest is a tool for testing that stubs conform to the implementations.
Changes to Error Reporting and Messages
typing_extensionsif definition is not in typing (Shantanu, PR 14591)Other Fixes and Improvements
Typeshed Updates
Typeshed is now modular and distributed as separate PyPI packages for everything except the standard library stubs. Please see git log for full list of typeshed changes.
Acknowledgements
Thanks to all mypy contributors who contributed to this release:
We’d also like to thank our employer, Dropbox, for funding the mypy core team.
Posted by Max Murin
numpy/numpy (numpy)
v1.26.4Compare Source
NumPy 1.26.4 Release Notes
NumPy 1.26.4 is a maintenance release that fixes bugs and regressions
discovered after the 1.26.3 release. The Python versions supported by
this release are 3.9-3.12. This is the last planned release in the
1.26.x series.
Contributors
A total of 13 people contributed to this release. People with a "+" by
their names contributed a patch for the first time.
Pull requests merged
A total of 19 pull requests were merged for this release.
numpy.array_api: fixlinalg.choleskyupper decomp...newaxisto__all__innumpy.array_api__config__.pyChecksums
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v1.26.3Compare Source
v1.26.2: 1.26.2 releaseCompare Source
NumPy 1.26.2 Release Notes
NumPy 1.26.2 is a maintenance release that fixes bugs and regressions
discovered after the 1.26.1 release. The 1.26.release series is the last
planned minor release series before NumPy 2.0. The Python versions
supported by this release are 3.9-3.12.
Contributors
A total of 13 people contributed to this release. People with a "+" by
their names contributed a patch for the first time.
Pull requests merged
A total of 25 pull requests were merged for this release.
import_array()noexceptto shuffle helpersallow-noblasoption to true.np.dtypeto itself doesn't crashChecksums
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v1.26.1Compare Source
NumPy 1.26.1 Release Notes
NumPy 1.26.1 is a maintenance release that fixes bugs and regressions
discovered after the 1.26.0 release. In addition, it adds new
functionality for detecting BLAS and LAPACK when building from source.
Highlights are:
The 1.26.release series is the last planned minor release series before
NumPy 2.0. The Python versions supported by this release are 3.9-3.12.
Build system changes
Improved BLAS/LAPACK detection and control
Auto-detection for a number of BLAS and LAPACK is now implemented for
Meson. By default, the build system will try to detect MKL, Accelerate
(on macOS >=13.3), OpenBLAS, FlexiBLAS, BLIS and reference BLAS/LAPACK.
Support for MKL was significantly improved, and support for FlexiBLAS
was added.
New command-line flags are available to further control the selection of
the BLAS and LAPACK libraries to build against.
To select a specific library, use the config-settings interface via
piporpypa/build. E.g., to selectlibblas/liblapack, use:This works not only for the libraries named above, but for any library
that Meson is able to detect with the given name through
pkg-configorCMake.
Besides
-Dblasand-Dlapack, a number of other new flags areavailable to control BLAS/LAPACK selection and behavior:
-Dblas-orderand-Dlapack-order: a list of library names tosearch for in order, overriding the default search order.
-Duse-ilp64: if set totrue, use ILP64 (64-bit integer) BLAS andLAPACK. Note that with this release, ILP64 support has been extended
to include MKL and FlexiBLAS. OpenBLAS and Accelerate were supported
in previous releases.
-Dallow-noblas: if set totrue, allow NumPy to build with itsinternal (very slow) fallback routines instead of linking against an
external BLAS/LAPACK library. The default for this flag may be
changed to ``true`` in a future 1.26.x release, however for
1.26.1 we'd prefer to keep it as ``false`` because if failures
to detect an installed library are happening, we'd like a bug
report for that, so we can quickly assess whether the new
auto-detection machinery needs further improvements.
-Dmkl-threading: to select the threading layer for MKL. There arefour options:
seq,iomp,gompandtbb. The default isauto, which selects from those four as appropriate given theversion of MKL selected.
-Dblas-symbol-suffix: manually select the symbol suffix to use forthe library - should only be needed for linking against libraries
built in a non-standard way.
New features
numpy._coresubmodule stubsnumpy._coresubmodule stubs were added to provide compatibility withpickled arrays created using NumPy 2.0 when running Numpy 1.26.
Contributors
A total of 13 people contributed to this release. People with a "+" by
their names contributed a patch for the first time.
Pull requests merged
A total of 20 pull requests were merged for this release.
-march=native...use-compute-creditsfor Cirrus.NumpyUnpicklerfor backportingnumpy._corestubs. RemoveNumpyUnpicklerChecksums
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