Mailman 3 July 2022 - Python-announce-list

Wing Python IDE 8.3.3 has been released
by Wingware 31 Jul '22

31 Jul '22

Wing 8.3.3 improves display of bytes values in the Stack Data tool, fixes several remote development issues, correctly reports exceptions while loading Django test files, runs Python with the correct command line when using -m with wingdb, prevents unwanted timeout of the debug connection, avoids adding unwanted spaces around =, !, : in f-string expressions, correctly pastes form feed characters and avoids stripping them as trailing white space, prevents corrupting projects when opening a project using the .wpu file (rather than the .wpr file), and makes a number of other usability improvements. Details: https://wingware.com/news/2022-07-28 Downloads: https://wingware.com/downloads == About Wing == Wing is a full-featured but light-weight Python IDE designed specifically for Python, with powerful editing, code inspection, testing, and debugging capabilities. Wing's deep code analysis provides auto-completion, auto-editing, code navigation, early error detection, and refactoring that speed up development. Its top notch debugger works with any Python code, locally or on a remote host, container, or cluster. Wing also supports test-driven development, version control, Python package management, UI color and layout customization, and includes extensive documentation and support. Wing is available in three product levels: Wing Pro is the full-featured Python IDE for professional developers, Wing Personal is a free Python IDE for students and hobbyists (omits some features), and Wing 101 is a very simplified free Python IDE for beginners (omits many features). Learn more at https://wingware.com/

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SCons 4.4.0 Released
by Bill Deegan 30 Jul '22

30 Jul '22

A new SCons release, 4.4.0, is now available on the SCons download page: https://scons.org/pages/download.html Here is a summary of the changes since 4.3.0: NOTE: If you build with Python 3.10.0 and then rebuild with 3.10.1 (or higher), you may see unexpected rebuilds. This is due to Python internals changing which changed the signature of a Python Action Function. NEW FUNCTIONALITY ----------------- - Added MSVC_USE_SCRIPT_ARGS Environment variable which specifies command line arguments to pass to the script specified by MSVC_USE_SCRIPT. - Added Configure.CheckMember() checker to check if struct/class has the specified member. - Added SHELL_ENV_GENERATORS construction variable. This variable should be set to a list (or an iterable) which contains functions to be called in order when constructing the execution environment (Generally this is the shell environment variables). This allows the user to customize how (for example) PATH is constructed. Note that these are called for every build command run by SCons. It could have considerable performance impact if not used carefully. - Added MSVC_USE_SETTINGS construction variable to pass a dictionary to configure the msvc compiler system environment as an alternative to bypassing Visual Studio autodetection entirely. - Added MSVC_SDK_VERSION construction variable which allows building with a specific Microsoft SDK version. This variable is used with the msvc batch file determined via autodetection. Refer to the documentation for additional requirements and validation details. - Added MSVC_TOOLSET_VERSION construction variable which allows building with a specific toolset version. This variable is used with the msvc batch file determined via autodetection. This variable does not affect the autodetection and selection of msvc instances. The toolset version is applied after an msvc instance is selected. This could be the default version of msvc. Refer to the documentation for additional requirements and validation details. Addresses issue #3265, issue #3664, and pull request #4149. - Added MSVC_SPECTRE_LIBS construction variable which allows building with spectre-mitigated Visual C++ libraries. This variable is used with the msvc batch file determined via autodetection. Refer to the documentation for additional requirements and validation details. - Added MSVC_SCRIPT_ARGS construction variable which specifies command line arguments that are passed to the msvc batch file determined via autodetection. Refer to the documentation for additional requirements and validation details. Addresses enhancement issue #4106. - Ninja: Added new alias "shutdown-ninja-scons-daemon" to allow ninja to shutdown the daemon. Also added cleanup to test framework to kill ninja scons daemons and clean ip daemon logs. NOTE: Test for this requires python psutil module. It will be skipped if not present. - Ninja: Added command line variable NINJA_CMD_ARGS that allows to pass through ninja command line args. This can also be set in your Environment(). - Added a global policy setting and an environment construction variable for specifying the action to be taken when an msvc request cannot be satisfied. The available options are "error", "exception", "warning", "warn", "ignore", and "suppress". The global policy variable may be set and retrieved via the functions msvc_set_notfound_policy and msvc_get_notfound_policy, respectively. These two methods may be imported from SCons.Tool.MSCommon. The environment construction variable is MSVC_NOTFOUND_POLICY. When defined, the environment construction variable overrides the global policy setting for a given environment. When the active policy is "error" or "exception", an MSVCVersionNotFound exception is raised. When the active policy is "warning" or "warn", a VisualCMissingWarning warning is issued and the constructed environment is likely incomplete. When the active policy is "ignore" or "suppress", no action is taken and the constructed environment is likely incomplete. As implemented, the default global policy is "warning". The ability to set the global policy via an SCons command-line option may be added in a future enhancement. - Added a global policy setting and an environment construction variable for specifying the action to be taken when msvc script errors are detected. The available options are "error", "exception", "warning", "warn", "ignore", and "suppress". The global policy variable may be set and retrieved via the functions msvc_set_scripterror_policy and msvc_get_scripterror_policy, respectively. These two methods may be imported from SCons.Tool.MSCommon. The environment construction variable is MSVC_SCRIPTERROR_POLICY. When defined, the environment construction variable overrides the global policy setting for a given environment. When the active policy is "error" or "exception", an MSVCScriptExecutionError exception is raised when msvc batch file errors are detected. When the active policy is "warning" or "warn", an MSVCScriptExecutionWarning warning is issued when msvc batch file errors are detected. When the active policy is "ignore" or "suppress", msvc batch error messages are suppressed. As implemented, the default global policy is "ignore". The ability to set the global policy via an SCons command-line option may be added in a future enhancement. - Added experimental function msvc_query_version_toolset to SCons.Tool.MSCommon. Given a version specification, this function will return an msvc version and an msvc toolset version. The msvc toolset version may be None. The msvc version and msvc toolset version can be used in the environment construction variables MSVC_VERSION and MSVC_TOOLSET_VERSION, respectively. The version specification may be an msvc version or an msvc toolset version. This is a proxy for using an msvc toolset version to select an msvc instance. This function may be removed when an msvc toolset version is used during msvc instance selection. - Fortran: a new construction variable FORTRANCOMMONFLAGS is added which is applied to all Fortran dialects, to enable global (all-dialect) settings. - lex: two new construction variables are introduced (LEX_HEADER_ILE and LEX_TABLES_FILE) as the preferred way of specifying extra files that the tool can generate. - yacc: two new construction variables are introduced (YACC_HEADER_FILE and YACC_GRAPH_FILE) as the preferred way of specifying extra files that the tool can generate (applies only when using GNU flex and GNU bison). CHANGED/ENHANCED EXISTING FUNCTIONALITY --------------------------------------- - On Windows, %AllUsersProfile%\scons\site_scons is now the default "system" location for a site_scons directory. %AllUsersProfile%\Application Data\scons\site_scons will continue to work. There does not seem to be any existing convention to use an "Application Data" subdirectory here. - Action._subproc() can now be used as a python context manager to ensure that the POpen object is properly closed. - SCons help (-H) no longer prints the "ignored for compatibility" options, which are still listed in the manpage. - Help is now sensitive to the size of the terminal window: the width of the help text will scale to wider (or narrower) terminals than 80 characters. - Ninja: Changed generated build.ninja file to run SCons only build Actions via a SCons Deamon. Added logic for starting and connecting to SCons daemon (currently only used for ninja) - The change to "content" and "content-timestamp" Decider names is reflected in the User Guide as well, since the hash function may be other than md5 (tidying up from earlier change) - If the (experimental) SCONS_CACHE_MSVC_CONFIG feature is used, it will now attempt a sanity check for the cached compiler information, and regenerate it if needed. Previously, this cache would fail if a compiler upgrade caused a change to internal paths (e.g. upgrading from 17.1 to 17.2 causes a necessary path component in some of the cached vars to need to 14.32.31326 instead of 14.31.31103), and the cache file needed to be manually removed. The default cachefile name is now "scons_msvc_cache.json" rather than ".scons_msvc_cache" so there should be no transition problem if using the default; if using a custom cache file name, the cache should still be manually removed if there are problems to transition to the new style. - Ninja: Update ninja file generation to only create response files for build commands which exceed MAXLINELENGTH - Update the debug output written to stdout for MSVC initialization which is enabled by setting SCONS_MSCOMMON_DEBUG=- to use the logging module. Also changed the debug output format written to stdout to include more information about the source for each message of MSVC initialization debugging output. A single space was added before the message for all debugging output records written to stdout and to files. - Ninja: Made ninja tool force the ninja file as the only target. Also improved the default targets setup and made sure there is always a default target for the ninja file, which excludes targets that start and stop the daemon. - Ninja: Update ninja tool so targets passed to SCons are propgated to ninja when scons automatically executes ninja. - Add JavaScanner to include JAVACLASSPATH as a dependency when using the Java tool. - The build argument (i.e., x86) is no longer passed to the MSVC 6.0 to 7.1 batch files. This may improve the effectiveness of the internal msvc cache when using MSVC detection and when bypassing MSVC detection as the MSVC 6.0 to 7.1 batch files do not expect any arguments. - Propagate the OS and windir environment variables from the system environment to the msvc environment. The OS and windir environment variables are used in the MSVC 6.0 batch file and the SDK 6.0-7.1 SetEnv.cmd batch files. Inclusion of the OS and windir environment variables eliminates some partial paths and warnings generated by the MSVC 6.0 and SDK 6.0-7.1 batch files when the variables are not defined. Note: Attempting to run the SDK 6.0-7.1 batch files directly via MSVC_USE_SCRIPT can lead to build failures and/or incomplete build environments. The SDK 6.0-7.1 batch files require delayed expansion to be enabled which is currently not supported and is typically not enabled by default on the host system. The batch files may also require environment variables that are not included by default in the msvc environment. - An exception is raised when MSVC_UWP_APP is enabled for Visual Studio 2013 and earlier. Previous behavior was to silently ignore MSVC_UWP_APP when enabled for Visual Studio 2013 and earlier. Refer to the documentation for additional requirements and validation details. MSVC_UWP_APP was extended to accept True, False, and None in addition to '1' and '0'. - Ninja: added option "--skip-ninja-regen" to enable skipping regeneration of the ninja file if scons can determine the ninja file doesnot need to be regenerated, which will also skip restarting the scons daemon. Note this option is could result in incorrect rebuilds if scons Glob or scons generated files are used in ninja build target's command lines. - Tool loading used to have a special case for Jython, it no longer does. This effectively means SCons doesn't work with Jython, which has in reality been the case ever since SCons dropped Python 2 support - there is still no timeline for Jython switching to Python 3 compatibility. FIXES ----- - Fix a number of Python ResourceWarnings which are issued when running SCons and/or it's tests with python 3.9 (or higher) - Ninja: Fix issue where Configure files weren't being properly processed when build run via ninja. - Fixed crash in C scanner's dictify_CPPDEFINES() function which happens if AppendUnique is called on CPPPATH. (Issue #4108). - Added default values for source and target arguments to _defines() function. This is used to expand CPPDEFINES (and others). Previous change added those arguments with no defaults, so old usage where _defines() was called without source and target arguments would yield an exception. This issue was found via qt4 and qt5 tools in scons-contrib https://github.com/SCons/scons-contrib/issues/45 - Fix issue where if you only had mingw installed on a Windows system and no MSVC compiler, and did not explicitly request the mingw tool, mingw tool initialization would fail and set the default compiler to MSVC which wasn't installed, yielding broken build. Updated mingw tool so that the generate and exists methods use the same mingw search paths (issue #4134). - Ninja: Added NINJA_GENERATED_SOURCE_ALIAS_NAME which allows user to specify an Alias() which the ninja tool can use to determine which files are generated sources. If this is not set by the user then the ninja tool will still dynamically determine which files are generated sources based on NINJA_GENERATED_SOURCE_SUFFIXES, and create a phony target _ninja_generated_sources. Generated sources will be built first by ninja. This is needed because ninja cannot determine which generated sources are required by other build targets. Code contributed by MongoDB. - Added special case for ninja scons daemon to work in win32 python3.6 environments. This particular environment does a bad job managing popen standard file handles, so some special workarounds are needed. - Added user configurable setting of ninja depfile format via NINJA_DEPFILE_PARSE_FORMAT. Now setting NINJA_DEPFILE_PARSE_FORMAT to [msvc,gcc,clang] can force the ninja expected format. Compiler tools will also configure the variable automatically. - Fix issue where Express versions of the MSVC compiler were not detected due to differences in initial msvc detection and msvc batch file determination when configuring the build environment. This could lead to build failures when only an MSVC Express instance is installed and the MSVC version is not explicitly specified (issue #2668 and issue #2697). - Restore the ability of the content-timestamp decider to see that a a source which is a symlink has changed if the file-system target of that link has been modified (issue #3880) - Fix typo in ninja scons daemon startup which causes ConnectionRefusedError to not retry to connect to the server during start up. - Fix incorrect Java classpath generation when a NodeList is used as part of any JAVA*PATH variables. - The system environment variable names imported for MSVC 7.0 and 6.0 were updated to be consistent with the variables names defined by their respective installers. This fixes an error caused when bypassing MSVC detection by specifying the MSVC 7.0 batch file directly. - lex: Fixed an issue with the lex tool where file arguments specified to either "--header-file=" or "--tables-file=" which included a space in the path to the file would be processed incorrectly - Modify the MSCommon logger configuration to be independent of the root logger. This fixes an issue when multiple loggers are created and the MSCommon logger added computed fields to the root logger that are not present in other logging instances. - Modify the MSVC_USE_SCRIPT_ARGS test fixture to disable the msvc cache. This fixes an issue where the MSVC_USE_SCRIPT_ARGS test for success relied on a debug log message that was not produced when the msvc cache file exists and the test keys are already in the cache as the msvc script invocation was bypassed. - Suppress issuing a warning when there are no installed Visual Studio instances for the default tools configuration (issue #2813). When msvc is the default compiler because there are no compilers installed, a build may fail due to the cl.exe command not being recognized. At present, there is no easy way to detect during msvc initialization if the default environment will be used later to build a program and/or library. There is no error/warning issued for the default tools as there are legitimate SCons uses that do not require a c compiler. IMPROVEMENTS ------------ - Verify that a user specified msvc script (via MSVC_USE_SCRIPT) exists and raise an exception immediately when the user specified msvc script does not exist. - Add cache-debug messages for push failures. - Ninja: Added ninja mingw support and improved ninja CommandGeneratorAction support. - Command-line help is now sensitive to the size of the terminal window: the width of the help text will scale for terminals other than 80 chars wide. - Refactor the msvc code so that the same data structures are used during initial msvc detection and msvc batch file determination when configuring the build environment. Simplify the msvc code by eliminating special case handling primarily due to the differences between the full versions and express versions of visual studio. - Small refactor of scons daemons using a shared StateInfo class for communication between the scons interactive thread and the http server thread. Added error handling for scons interactive failing to startup. - Ninja: Updated ninja scons daemon scripts to output errors to stderr as well as the daemon log. - Ninja: Ensure that all targets set as default via Default() in SConstruct/SConscripts are default targets in the generated ninja.build file. PACKAGING --------- - Added project_url for mailing lists and Discord - Updated setup.cfg to remove Python 3.5 and add Python 3.10 Thanks to the following contributors listed below for their contributions to this release. ========================================================================================== .. code-block:: text git shortlog --no-merges -ns 4.3.0..HEAD git shortlog --no-merges -ns 4.3.0..HEAD 174 Joseph Brill 126 Mats Wichmann 93 William Deegan 64 Daniel Moody 4 SergBobrovsky 2 dependabot[bot] 1 djh 1 Ivan Kravets 1 Vishwajith-K 1 Zhichang Yu

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ANN: SciPy 1.9.0
by Tyler Reddy 29 Jul '22

29 Jul '22

Hi all, On behalf of the SciPy development team, I'm pleased to announce the release of SciPy 1.9.0. Sources and binary wheels can be found at: https://pypi.org/project/scipy/ and at: https://github.com/scipy/scipy/releases/tag/v1.9.0 <https://github.com/scipy/scipy/releases/tag/v1.6.1> One of a few ways to install this release with pip: pip install scipy==1.9.0 ===================== SciPy 1.9.0 Release Notes ===================== SciPy 1.9.0 is the culmination of 6 months of hard work. It contains many new features, numerous bug-fixes, improved test coverage and better documentation. There have been a number of deprecations and API changes in this release, which are documented below. All users are encouraged to upgrade to this release, as there are a large number of bug-fixes and optimizations. Before upgrading, we recommend that users check that their own code does not use deprecated SciPy functionality (to do so, run your code with ``python -Wd`` and check for ``DeprecationWarning`` s). Our development attention will now shift to bug-fix releases on the 1.9.x branch, and on adding new features on the main branch. This release requires Python 3.8-3.11 and NumPy 1.18.5 or greater. For running on PyPy, PyPy3 6.0+ is required. ***************************** Highlights of this release ***************************** - We have modernized our build system to use ``meson``, substantially improving our build performance, and providing better build-time configuration and cross-compilation support, - Added `scipy.optimize.milp`, new function for mixed-integer linear programming, - Added `scipy.stats.fit` for fitting discrete and continuous distributions to data, - Tensor-product spline interpolation modes were added to `scipy.interpolate.RegularGridInterpolator`, - A new global optimizer (DIviding RECTangles algorithm) `scipy.optimize.direct`. **************** New features **************** `scipy.interpolate` improvements ========================= - Speed up the ``RBFInterpolator`` evaluation with high dimensional interpolants. - Added new spline based interpolation methods for `scipy.interpolate.RegularGridInterpolator` and its tutorial. - `scipy.interpolate.RegularGridInterpolator` and `scipy.interpolate.interpn` now accept descending ordered points. - ``RegularGridInterpolator`` now handles length-1 grid axes. - The ``BivariateSpline`` subclasses have a new method ``partial_derivative`` which constructs a new spline object representing a derivative of an original spline. This mirrors the corresponding functionality for univariate splines, ``splder`` and ``BSpline.derivative``, and can substantially speed up repeated evaluation of derivatives. `scipy.linalg` improvements ===================== - `scipy.linalg.expm` now accepts nD arrays. Its speed is also improved. - Minimum required LAPACK version is bumped to ``3.7.1``. `scipy.fft` improvements ================== - Added ``uarray`` multimethods for `scipy.fft.fht` and `scipy.fft.ifht` to allow provision of third party backend implementations such as those recently added to CuPy. `scipy.optimize` improvements ======================= - A new global optimizer, `scipy.optimize.direct` (DIviding RECTangles algorithm) was added. For problems with inexpensive function evaluations, like the ones in the SciPy benchmark suite, ``direct`` is competitive with the best other solvers in SciPy (``dual_annealing`` and ``differential_evolution``) in terms of execution time. See `gh-14300 <https://github.com/scipy/scipy/pull/14300>`__ for more details. - Add a ``full_output`` parameter to `scipy.optimize.curve_fit` to output additional solution information. - Add a ``integrality`` parameter to `scipy.optimize.differential_evolution`, enabling integer constraints on parameters. - Add a ``vectorized`` parameter to call a vectorized objective function only once per iteration. This can improve minimization speed by reducing interpreter overhead from the multiple objective function calls. - The default method of `scipy.optimize.linprog` is now ``'highs'``. - Added `scipy.optimize.milp`, new function for mixed-integer linear programming. - Added Newton-TFQMR method to ``newton_krylov``. - Added support for the ``Bounds`` class in ``shgo`` and ``dual_annealing`` for a more uniform API across `scipy.optimize`. - Added the ``vectorized`` keyword to ``differential_evolution``. - ``approx_fprime`` now works with vector-valued functions. `scipy.signal` improvements ===================== - The new window function `scipy.signal.windows.kaiser_bessel_derived` was added to compute the Kaiser-Bessel derived window. - Single-precision ``hilbert`` operations are now faster as a result of more consistent ``dtype`` handling. `scipy.sparse` improvements ====================== - Add a ``copy`` parameter to `scipy.sparce.csgraph.laplacian`. Using inplace computation with ``copy=False`` reduces the memory footprint. - Add a ``dtype`` parameter to `scipy.sparce.csgraph.laplacian` for type casting. - Add a ``symmetrized`` parameter to `scipy.sparce.csgraph.laplacian` to produce symmetric Laplacian for directed graphs. - Add a ``form`` parameter to `scipy.sparce.csgraph.laplacian` taking one of the three values: ``array``, or ``function``, or ``lo`` determining the format of the output Laplacian: * ``array`` is a numpy array (backward compatible default); * ``function`` is a pointer to a lambda-function evaluating the Laplacian-vector or Laplacian-matrix product; * ``lo`` results in the format of the ``LinearOperator``. `scipy.sparse.linalg` improvements ========================== - ``lobpcg`` performance improvements for small input cases. `scipy.spatial` improvements ====================== - Add an ``order`` parameter to `scipy.spatial.transform.Rotation.from_quat` and `scipy.spatial.transform.Rotation.as_quat` to specify quaternion format. `scipy.stats` improvements ===================== - `scipy.stats.monte_carlo_test` performs one-sample Monte Carlo hypothesis tests to assess whether a sample was drawn from a given distribution. Besides reproducing the results of hypothesis tests like `scipy.stats.ks_1samp`, `scipy.stats.normaltest`, and `scipy.stats.cramervonmises` without small sample size limitations, it makes it possible to perform similar tests using arbitrary statistics and distributions. - Several `scipy.stats` functions support new ``axis`` (integer or tuple of integers) and ``nan_policy`` ('raise', 'omit', or 'propagate'), and ``keepdims`` arguments. These functions also support masked arrays as inputs, even if they do not have a `scipy.stats.mstats` counterpart. Edge cases for multidimensional arrays, such as when axis-slices have no unmasked elements or entire inputs are of size zero, are handled consistently. - Add a ``weight`` parameter to `scipy.stats.hmean`. - Several improvements have been made to `scipy.stats.levy_stable`. Substantial improvement has been made for numerical evaluation of the pdf and cdf, resolving [#12658](https://github.com/scipy/scipy/issues/12658) and [#14944](https://github.com/scipy/scipy/issues/14994). The improvement is particularly dramatic for stability parameter ``alpha`` close to or equal to 1 and for ``alpha`` below but approaching its maximum value of 2. The alternative fast Fourier transform based method for pdf calculation has also been updated to use the approach of Wang and Zhang from their 2008 conference paper *Simpson’s rule based FFT method to compute densities of stable distribution*, making this method more competitive with the default method. In addition, users now have the option to change the parametrization of the Levy Stable distribution to Nolan's "S0" parametrization which is used internally by SciPy's pdf and cdf implementations. The "S0" parametrization is described in Nolan's paper [*Numerical calculation of stable densities and distribution functions*](https://doi.org/10.1080/15326349708807450) upon which SciPy's implementation is based. "S0" has the advantage that ``delta`` and ``gamma`` are proper location and scale parameters. With ``delta`` and ``gamma`` fixed, the location and scale of the resulting distribution remain unchanged as ``alpha`` and ``beta`` change. This is not the case for the default "S1" parametrization. Finally, more options have been exposed to allow users to trade off between runtime and accuracy for both the default and FFT methods of pdf and cdf calculation. More information can be found in the documentation here (to be linked). - Added `scipy.stats.fit` for fitting discrete and continuous distributions to data. - The methods ``"pearson"`` and ``"tippet"`` from `scipy.stats.combine_pvalues` have been fixed to return the correct p-values, resolving [#15373](https://github.com/scipy/scipy/issues/15373). In addition, the documentation for `scipy.stats.combine_pvalues` has been expanded and improved. - Unlike other reduction functions, ``stats.mode`` didn't consume the axis being operated on and failed for negative axis inputs. Both the bugs have been fixed. Note that ``stats.mode`` will now consume the input axis and return an ndarray with the ``axis`` dimension removed. - Replaced implementation of `scipy.stats.ncf` with the implementation from Boost for improved reliability. - Add a `bits` parameter to `scipy.stats.qmc.Sobol`. It allows to use from 0 to 64 bits to compute the sequence. Default is ``None`` which corresponds to 30 for backward compatibility. Using a higher value allow to sample more points. Note: ``bits`` does not affect the output dtype. - Add a `integers` method to `scipy.stats.qmc.QMCEngine`. It allows sampling integers using any QMC sampler. - Improved the fit speed and accuracy of ``stats.pareto``. - Added ``qrvs`` method to ``NumericalInversePolynomial`` to match the situation for ``NumericalInverseHermite``. - Faster random variate generation for ``gennorm`` and ``nakagami``. - ``lloyd_centroidal_voronoi_tessellation`` has been added to allow improved sample distributions via iterative application of Voronoi diagrams and centering operations - Add `scipy.stats.qmc.PoissonDisk` to sample using the Poisson disk sampling method. It guarantees that samples are separated from each other by a given ``radius``. - Add `scipy.stats.pmean` to calculate the weighted power mean also called generalized mean. ************************ Deprecated features ************************ - Due to collision with the shape parameter ``n`` of several distributions, use of the distribution ``moment`` method with keyword argument ``n`` is deprecated. Keyword ``n`` is replaced with keyword ``order``. - Similarly, use of the distribution ``interval`` method with keyword arguments ``alpha`` is deprecated. Keyword ``alpha`` is replaced with keyword ``confidence``. - The ``'simplex'``, ``'revised simplex'``, and ``'interior-point'`` methods of `scipy.optimize.linprog` are deprecated. Methods ``highs``, ``highs-ds``, or ``highs-ipm`` should be used in new code. - Support for non-numeric arrays has been deprecated from ``stats.mode``. ``pandas.DataFrame.mode`` can be used instead. - The function `spatial.distance.kulsinski` has been deprecated in favor of `spatial.distance.kulczynski1`. - The ``maxiter`` keyword of the truncated Newton (TNC) algorithm has been deprecated in favour of ``maxfun``. - The ``vertices`` keyword of ``Delauney.qhull`` now raises a DeprecationWarning, after having been deprecated in documentation only for a long time. - The ``extradoc`` keyword of ``rv_continuous``, ``rv_discrete`` and ``rv_sample`` now raises a DeprecationWarning, after having been deprecated in documentation only for a long time. ************************* Expired Deprecations ************************* There is an ongoing effort to follow through on long-standing deprecations. The following previously deprecated features are affected: - Object arrays in sparse matrices now raise an error. - Inexact indices into sparse matrices now raise an error. - Passing ``radius=None`` to `scipy.spatial.SphericalVoronoi` now raises an error (not adding ``radius`` defaults to 1, as before). - Several BSpline methods now raise an error if inputs have ``ndim > 1``. - The ``_rvs`` method of statistical distributions now requires a ``size`` parameter. - Passing a ``fillvalue`` that cannot be cast to the output type in `scipy.signal.convolve2d` now raises an error. - `scipy.spatial.distance` now enforces that the input vectors are one-dimensional. - Removed ``stats.itemfreq``. - Removed ``stats.median_absolute_deviation``. - Removed ``n_jobs`` keyword argument and use of ``k=None`` from ``kdtree.query``. - Removed ``right`` keyword from ``interpolate.PPoly.extend``. - Removed ``debug`` keyword from ``scipy.linalg.solve_*``. - Removed class ``_ppform`` ``scipy.interpolate``. - Removed BSR methods ``matvec`` and ``matmat``. - Removed ``mlab`` truncation mode from ``cluster.dendrogram``. - Removed ``cluster.vq.py_vq2``. - Removed keyword arguments ``ftol`` and ``xtol`` from ``optimize.minimize(method='Nelder-Mead')``. - Removed ``signal.windows.hanning``. - Removed LAPACK ``gegv`` functions from ``linalg``; this raises the minimally required LAPACK version to 3.7.1. - Removed ``spatial.distance.matching``. - Removed the alias ``scipy.random`` for ``numpy.random``. - Removed docstring related functions from ``scipy.misc`` (``docformat``, ``inherit_docstring_from``, ``extend_notes_in_docstring``, ``replace_notes_in_docstring``, ``indentcount_lines``, ``filldoc``, ``unindent_dict``, ``unindent_string``). - Removed ``linalg.pinv2``. *************************************** Backwards incompatible changes *************************************** - Several `scipy.stats` functions now convert ``np.matrix`` to ``np.ndarray``s before the calculation is performed. In this case, the output will be a scalar or ``np.ndarray`` of appropriate shape rather than a 2D ``np.matrix``. Similarly, while masked elements of masked arrays are still ignored, the output will be a scalar or ``np.ndarray`` rather than a masked array with ``mask=False``. - The default method of `scipy.optimize.linprog` is now ``'highs'``, not ``'interior-point'`` (which is now deprecated), so callback functions and some options are no longer supported with the default method. With the default method, the ``x`` attribute of the returned ``OptimizeResult`` is now ``None`` (instead of a non-optimal array) when an optimal solution cannot be found (e.g. infeasible problem). - For `scipy.stats.combine_pvalues`, the sign of the test statistic returned for the method ``"pearson"`` has been flipped so that higher values of the statistic now correspond to lower p-values, making the statistic more consistent with those of the other methods and with the majority of the literature. - `scipy.linalg.expm` due to historical reasons was using the sparse implementation and thus was accepting sparse arrays. Now it only works with nDarrays. For sparse usage, `scipy.sparse.linalg.expm` needs to be used explicitly. - The definition of `scipy.stats.circvar` has reverted to the one that is standard in the literature; note that this is not the same as the square of `scipy.stats.circstd`. - Remove inheritance to `QMCEngine` in `MultinomialQMC` and `MultivariateNormalQMC`. It removes the methods `fast_forward` and `reset`. - Init of `MultinomialQMC` now require the number of trials with `n_trials`. Hence, `MultinomialQMC.random` output has now the correct shape ``(n, pvals)``. - Several function-specific warnings (``F_onewayConstantInputWarning``, ``F_onewayBadInputSizesWarning``, ``PearsonRConstantInputWarning``, ``PearsonRNearConstantInputWarning``, ``SpearmanRConstantInputWarning``, and ``BootstrapDegenerateDistributionWarning``) have been replaced with more general warnings. ****************** Other changes ****************** - A draft developer CLI is available for SciPy, leveraging the ``doit``, ``click`` and ``rich-click`` tools. For more details, see [gh-15959](https://github.com/scipy/scipy/pull/15959). - The SciPy contributor guide has been reorganized and updated (see [#15947](https://github.com/scipy/scipy/pull/15947) for details). - QUADPACK Fortran routines in `scipy.integrate`, which power `scipy.integrate.quad`, have been marked as `recursive`. This should fix rare issues in multivariate integration (`nquad` and friends) and obviate the need for compiler-specific compile flags (`/recursive` for ifort etc). Please file an issue if this change turns out problematic for you. This is also true for ``FITPACK`` routines in `scipy.interpolate`, which power ``splrep``, ``splev`` etc., and ``*UnivariateSpline`` and ``*BivariateSpline`` classes. - the ``USE_PROPACK`` environment variable has been renamed to ``SCIPY_USE_PROPACK``; setting to a non-zero value will enable the usage of the ``PROPACK`` library as before - Building SciPy on windows with MSVC now requires at least the vc142 toolset (available in Visual Studio 2019 and higher). Lazy access to subpackages ====================== Before this release, all subpackages of SciPy (`cluster`, `fft`, `ndimage`, etc.) had to be explicitly imported. Now, these subpackages are lazily loaded as soon as they are accessed, so that the following is possible (if desired for interactive use, it's not actually recommended for code, see :ref:`scipy-api`): ``import scipy as sp; sp.fft.dct([1, 2, 3])``. Advantages include: making it easier to navigate SciPy in interactive terminals, reducing subpackage import conflicts (which before required ``import networkx.linalg as nla; import scipy.linalg as sla``), and avoiding repeatedly having to update imports during teaching & experimentation. Also see [the related community specification document]( https://scientific-python.org/specs/spec-0001/). SciPy switched to Meson as its build system ================================== This is the first release that ships with [Meson](https://mesonbuild.com) as the build system. When installing with ``pip`` or ``pypa/build``, Meson will be used (invoked via the ``meson-python`` build hook). This change brings significant benefits - most importantly much faster build times, but also better support for cross-compilation and cleaner build logs. Note: This release still ships with support for ``numpy.distutils``-based builds as well. Those can be invoked through the ``setup.py`` command-line interface (e.g., ``python setup.py install``). It is planned to remove ``numpy.distutils`` support before the 1.10.0 release. When building from source, a number of things have changed compared to building with ``numpy.distutils``: - New build dependencies: ``meson``, ``ninja``, and ``pkg-config``. ``setuptools`` and ``wheel`` are no longer needed. - BLAS and LAPACK libraries that are supported haven't changed, however the discovery mechanism has: that is now using ``pkg-config`` instead of hardcoded paths or a ``site.cfg`` file. - The build defaults to using OpenBLAS. See :ref:`blas-lapack-selection` for details. The two CLIs that can be used to build wheels are ``pip`` and ``build``. In addition, the SciPy repo contains a ``python dev.py`` CLI for any kind of development task (see its ``--help`` for details). For a comparison between old (``distutils``) and new (``meson``) build commands, see :ref:`meson-faq`. For more information on the introduction of Meson support in SciPy, see `gh-13615 <https://github.com/scipy/scipy/issues/13615>`__ and `this blog post < https://labs.quansight.org/blog/2021/07/moving-scipy-to-meson/>`__. ********** Authors ********** * endolith (12) * h-vetinari (11) * Caio Agiani (2) + * Emmy Albert (1) + * Joseph Albert (1) * Tania Allard (3) * Carsten Allefeld (1) + * Kartik Anand (1) + * Virgile Andreani (2) + * Weh Andreas (1) + * Francesco Andreuzzi (5) + * Kian-Meng Ang (2) + * Gerrit Ansmann (1) * Ar-Kareem (1) + * Shehan Atukorala (1) + * avishai231 (1) + * Blair Azzopardi (1) * Sayantika Banik (2) + * Ross Barnowski (9) * Christoph Baumgarten (3) * Nickolai Belakovski (1) * Peter Bell (9) * Sebastian Berg (3) * Bharath (1) + * bobcatCA (2) + * boussoffara (2) + * Islem BOUZENIA (1) + * Jake Bowhay (41) + * Matthew Brett (11) * Dietrich Brunn (2) + * Michael Burkhart (2) + * Evgeni Burovski (96) * Matthias Bussonnier (20) * Dominic C (1) * Cameron (1) + * CJ Carey (3) * Thomas A Caswell (2) * Ali Cetin (2) + * Hood Chatham (5) + * Klesk Chonkin (1) * Craig Citro (1) + * Dan Cogswell (1) + * Luigi Cruz (1) + * Anirudh Dagar (5) * Brandon David (1) * deepakdinesh1123 (1) + * Denton DeLoss (1) + * derbuihan (2) + * Sameer Deshmukh (13) + * Niels Doucet (1) + * DWesl (8) * eytanadler (30) + * Thomas J. Fan (5) * Isuru Fernando (3) * Joseph Fox-Rabinovitz (1) * Ryan Gibson (4) + * Ralf Gommers (327) * Srinivas Gorur-Shandilya (1) + * Alex Griffing (2) * Matt Haberland (461) * Tristan Hearn (1) + * Jonathan Helgert (1) + * Samuel Hinton (1) + * Jake (1) + * Stewart Jamieson (1) + * Jan-Hendrik Müller (1) * Yikun Jiang (1) + * JuliaMelle01 (1) + * jyuv (12) + * Toshiki Kataoka (1) * Chris Keefe (1) + * Robert Kern (4) * Andrew Knyazev (11) * Matthias Koeppe (4) + * Sergey Koposov (1) * Volodymyr Kozachynskyi (1) + * Yotaro Kubo (2) + * Jacob Lapenna (1) + * Peter Mahler Larsen (8) * Eric Larson (4) * Laurynas Mikšys (1) + * Antony Lee (1) * Gregory R. Lee (2) * lerichi (1) + * Tim Leslie (2) * P. L. Lim (1) * Smit Lunagariya (43) * lutefiskhotdish (1) + * Cong Ma (12) * Syrtis Major (1) * Nicholas McKibben (18) * Melissa Weber Mendonça (10) * Mark Mikofski (1) * Jarrod Millman (13) * Harsh Mishra (6) * ML-Nielsen (3) + * Matthew Murray (1) + * Andrew Nelson (50) * Dimitri Papadopoulos Orfanos (1) + * Evgueni Ovtchinnikov (2) + * Sambit Panda (1) * Nick Papior (2) * Tirth Patel (43) * Petar Mlinarić (1) * petroselo (1) + * Ilhan Polat (64) * Anthony Polloreno (1) * Amit Portnoy (1) + * Quentin Barthélemy (9) * Patrick N. Raanes (1) + * Tyler Reddy (185) * Pamphile Roy (199) * Vivek Roy (2) + * sabonerune (1) + * Niyas Sait (2) + * Atsushi Sakai (25) * Mazen Sayed (1) + * Eduardo Schettino (5) + * Daniel Schmitz (6) + * Eli Schwartz (4) + * SELEE (2) + * Namami Shanker (4) * siddhantwahal (1) + * Gagandeep Singh (8) * Soph (1) + * Shivnaren Srinivasan (1) + * Scott Staniewicz (1) + * Leo C. Stein (4) * Albert Steppi (7) * Christopher Strickland (1) + * Kai Striega (4) * Søren Fuglede Jørgensen (1) * Aleksandr Tagilov (1) + * Masayuki Takagi (1) + * Sai Teja (1) + * Ewout ter Hoeven (2) + * Will Tirone (2) * Bas van Beek (7) * Dhruv Vats (1) * Arthur Volant (1) * Samuel Wallan (5) * Stefan van der Walt (8) * Warren Weckesser (84) * Anreas Weh (1) * Nils Werner (1) * Aviv Yaish (1) + * Dowon Yi (1) * Rory Yorke (1) * Yosshi999 (1) + * yuanx749 (2) + * Gang Zhao (23) * ZhihuiChen0903 (1) * Pavel Zun (1) + * David Zwicker (1) + A total of 154 people contributed to this release. People with a "+" by their names contributed a patch for the first time. This list of names is automatically generated, and may not be fully complete. ************************** Issues closed for 1.9.0 ************************** * `#1884 <https://github.com/scipy/scipy/issues/1884>`__: stats distributions fit problems (Trac #1359) * `#2047 <https://github.com/scipy/scipy/issues/2047>`__: derivatives() method is missing in BivariateSpline (Trac #1522) * `#2071 <https://github.com/scipy/scipy/issues/2071>`__: TST: stats: \`check_sample_var\` should be two-sided (Trac #1546) * `#2414 <https://github.com/scipy/scipy/issues/2414>`__: stats binom at non-integer n (Trac #1895) * `#2623 <https://github.com/scipy/scipy/issues/2623>`__: stats.distributions statistical power of test suite * `#2625 <https://github.com/scipy/scipy/issues/2625>`__: wilcoxon() function does not return z-statistic * `#2650 <https://github.com/scipy/scipy/issues/2650>`__: (2D) Interpolation functions should work with complex numbers * `#2834 <https://github.com/scipy/scipy/issues/2834>`__: ksone fitting * `#2868 <https://github.com/scipy/scipy/issues/2868>`__: nan and stats.percentileofscore * `#2877 <https://github.com/scipy/scipy/issues/2877>`__: distributions.ncf numerical issues * `#2993 <https://github.com/scipy/scipy/issues/2993>`__: optimize.approx_fprime & jacobians * `#3214 <https://github.com/scipy/scipy/issues/3214>`__: stats distributions ppf-cdf roundtrip * `#3758 <https://github.com/scipy/scipy/issues/3758>`__: discrete distribution defined by \`values\` with non-integer... * `#4130 <https://github.com/scipy/scipy/issues/4130>`__: BUG: stats: fisher_exact returns incorrect p-value * `#4897 <https://github.com/scipy/scipy/issues/4897>`__: expm is 10x as slow as matlab according to http://stackoverflow.com/questions/30048315 * `#5103 <https://github.com/scipy/scipy/issues/5103>`__: Docs suggest scipy.sparse.linalg.expm_multiply supports LinearOperator... * `#5266 <https://github.com/scipy/scipy/issues/5266>`__: Deprecated routines in Netlib LAPACK >3.5.0 * `#5890 <https://github.com/scipy/scipy/issues/5890>`__: Undefined behavior when using scipy.interpolate.RegularGridInterpolator... * `#5982 <https://github.com/scipy/scipy/issues/5982>`__: Keyword collision in scipy.stats.levy_stable.interval * `#6472 <https://github.com/scipy/scipy/issues/6472>`__: scipy.stats.invwishart does not check if scale matrix is symmetric * `#6551 <https://github.com/scipy/scipy/issues/6551>`__: BUG: stats: inconsistency in docs and behavior of gmean and hmean * `#6624 <https://github.com/scipy/scipy/issues/6624>`__: incorrect handling of nan by RegularGridInterpolator * `#6882 <https://github.com/scipy/scipy/issues/6882>`__: Certain recursive scipy.integrate.quad (e.g. dblquad and nquad)... * `#7469 <https://github.com/scipy/scipy/issues/7469>`__: Misleading interp2d documentation * `#7560 <https://github.com/scipy/scipy/issues/7560>`__: Should RegularGridInterpolator support length 1 dimensions? * `#8850 <https://github.com/scipy/scipy/issues/8850>`__: Scipy.interpolate.griddata Error : Exception ignored in: 'scipy.spatial.qhull._Qhull.__dealloc__' * `#8928 <https://github.com/scipy/scipy/issues/8928>`__: BUG: scipy.stats.norm wrong expected value of function when loc... * `#9213 <https://github.com/scipy/scipy/issues/9213>`__: __STDC_VERSION__ check in C++ code * `#9231 <https://github.com/scipy/scipy/issues/9231>`__: infinite loop in stats.fisher_exact * `#9313 <https://github.com/scipy/scipy/issues/9313>`__: geometric distribution stats.geom returns negative values if... * `#9524 <https://github.com/scipy/scipy/issues/9524>`__: interpn returns nan with perfectly valid data * `#9591 <https://github.com/scipy/scipy/issues/9591>`__: scipy.interpolate.interp1d with kind=“previous” doesn't extrapolate... * `#9815 <https://github.com/scipy/scipy/issues/9815>`__: stats.mode's nan_policy 'propagate' not working? * `#9944 <https://github.com/scipy/scipy/issues/9944>`__: documentation for \`scipy.interpolate.RectBivariateSpline\` is... * `#9999 <https://github.com/scipy/scipy/issues/9999>`__: BUG: malloc() calls in Cython and C that are not checked for... * `#10096 <https://github.com/scipy/scipy/issues/10096>`__: Add literature reference for circstd (and circvar?) * `#10446 <https://github.com/scipy/scipy/issues/10446>`__: RuntimeWarning: invalid value encountered in stats.genextreme * `#10577 <https://github.com/scipy/scipy/issues/10577>`__: Additional discussion for scipy.stats roadmap * `#10821 <https://github.com/scipy/scipy/issues/10821>`__: Errors with the Yeo-Johnson Transform that also Appear in Scikit-Learn * `#10983 <https://github.com/scipy/scipy/issues/10983>`__: LOBPCG inefficinet when computing > 20% of eigenvalues * `#11145 <https://github.com/scipy/scipy/issues/11145>`__: unexpected SparseEfficiencyWarning at scipy.sparse.linalg.splu * `#11406 <https://github.com/scipy/scipy/issues/11406>`__: scipy.sparse.linalg.svds (v1.4.1) on singular matrix does not... * `#11447 <https://github.com/scipy/scipy/issues/11447>`__: scipy.interpolate.interpn: Handle ValueError('The points in dimension... * `#11673 <https://github.com/scipy/scipy/issues/11673>`__: intlinprog: integer linear program solver * `#11742 <https://github.com/scipy/scipy/issues/11742>`__: MAINT: stats: getting skewness alone takes 34000x longer than... * `#11806 <https://github.com/scipy/scipy/issues/11806>`__: Unexpectedly poor results when distribution fitting with \`weibull_min\`... * `#11828 <https://github.com/scipy/scipy/issues/11828>`__: UnivariateSpline gives varying results when multithreaded on... * `#11948 <https://github.com/scipy/scipy/issues/11948>`__: fitting discrete distributions * `#12073 <https://github.com/scipy/scipy/issues/12073>`__: Add note in documentation * `#12370 <https://github.com/scipy/scipy/issues/12370>`__: truncnorm.rvs is painfully slow on version 1.5.0rc2 * `#12456 <https://github.com/scipy/scipy/issues/12456>`__: Add generalized mean calculation * `#12480 <https://github.com/scipy/scipy/issues/12480>`__: RectBivariateSpline derivative evaluator is slow * `#12485 <https://github.com/scipy/scipy/issues/12485>`__: linprog returns an incorrect message * `#12506 <https://github.com/scipy/scipy/issues/12506>`__: ENH: stats: one-sided p-values for statistical tests * `#12545 <https://github.com/scipy/scipy/issues/12545>`__: stats.pareto.fit raises RuntimeWarning * `#12548 <https://github.com/scipy/scipy/issues/12548>`__: scipy.stats.skew returning MaskedArray * `#12633 <https://github.com/scipy/scipy/issues/12633>`__: Offer simpler development workflow? * `#12658 <https://github.com/scipy/scipy/issues/12658>`__: scipy.stats.levy_stable.pdf can be inaccurate and return nan * `#12733 <https://github.com/scipy/scipy/issues/12733>`__: scipy.stats.truncnorm.cdf slow * `#12838 <https://github.com/scipy/scipy/issues/12838>`__: Accept multiple matrices in \`scipy.linalg.expm\` * `#12848 <https://github.com/scipy/scipy/issues/12848>`__: DOC: stats: multivariate distribution documentation issues * `#12870 <https://github.com/scipy/scipy/issues/12870>`__: Levy Stable Random Variates Code has a typo * `#12871 <https://github.com/scipy/scipy/issues/12871>`__: Levy Stable distribution uses parameterisation that is not location... * `#13200 <https://github.com/scipy/scipy/issues/13200>`__: Errors made by scipy.optimize.linprog * `#13462 <https://github.com/scipy/scipy/issues/13462>`__: Too many warnings and results objects in public API for scipy.stats * `#13582 <https://github.com/scipy/scipy/issues/13582>`__: ENH: stats: \`rv_continuous.stats\` with array shapes: use \`_stats\`... * `#13615 <https://github.com/scipy/scipy/issues/13615>`__: RFC: switch to Meson as a build system * `#13632 <https://github.com/scipy/scipy/issues/13632>`__: stats.rv_discrete is not checking that xk values are integers * `#13655 <https://github.com/scipy/scipy/issues/13655>`__: MAINT: stats.rv_generic: \`moment\` method falls back to \`_munp\`... * `#13689 <https://github.com/scipy/scipy/issues/13689>`__: Wilcoxon does not appropriately detect ties when mode=exact. * `#13835 <https://github.com/scipy/scipy/issues/13835>`__: Change name of \`alpha\` parameter in \`interval()\` method * `#13872 <https://github.com/scipy/scipy/issues/13872>`__: Add method details or reference to \`scipy.integrate.dblquad\` * `#13912 <https://github.com/scipy/scipy/issues/13912>`__: Adding Poisson Disc sampling to QMC * `#13996 <https://github.com/scipy/scipy/issues/13996>`__: Fisk distribution documentation typo * `#14035 <https://github.com/scipy/scipy/issues/14035>`__: \`roots_jacobi\` support for large parameter values * `#14081 <https://github.com/scipy/scipy/issues/14081>`__: \`scipy.optimize._linprog_simplex._apply_pivot\` relies on asymmetric... * `#14095 <https://github.com/scipy/scipy/issues/14095>`__: scipy.stats.norm.pdf takes too much time and memory * `#14162 <https://github.com/scipy/scipy/issues/14162>`__: Thread safety RectBivariateSpline * `#14267 <https://github.com/scipy/scipy/issues/14267>`__: BUG: online doc returns 404 - wrong \`reference\` in url * `#14313 <https://github.com/scipy/scipy/issues/14313>`__: ks_2samp: example description does not match example output * `#14418 <https://github.com/scipy/scipy/issues/14418>`__: \`ttest_ind\` for two sampled distributions with the same single... * `#14455 <https://github.com/scipy/scipy/issues/14455>`__: Adds Mixed Integer Linear Programming from highs * `#14462 <https://github.com/scipy/scipy/issues/14462>`__: Shapiro test returning negative p-value * `#14471 <https://github.com/scipy/scipy/issues/14471>`__: methods 'revised simplex' and 'interior-point' are extremely... * `#14505 <https://github.com/scipy/scipy/issues/14505>`__: \`Optimization converged to parameters that are outside the range\`... * `#14527 <https://github.com/scipy/scipy/issues/14527>`__: Segmentation fault with KDTree * `#14548 <https://github.com/scipy/scipy/issues/14548>`__: Add convention flag to quanternion in \`Scipy.spatial.transform.rotation.Rotation\` * `#14565 <https://github.com/scipy/scipy/issues/14565>`__: optimize.minimize: Presence of callback causes method TNC to... * `#14622 <https://github.com/scipy/scipy/issues/14622>`__: BUG: (sort of) mannwhitneyu hits max recursion limit with imbalanced... * `#14645 <https://github.com/scipy/scipy/issues/14645>`__: ENH: MemoryError when trying to bootstrap with large amounts... * `#14716 <https://github.com/scipy/scipy/issues/14716>`__: BUG: stats: The \`loguniform\` distribution is overparametrized. * `#14731 <https://github.com/scipy/scipy/issues/14731>`__: BUG: Incorrect residual graph in scipy.sparse.csgraph.maximum_flow * `#14745 <https://github.com/scipy/scipy/issues/14745>`__: BUG: scipy.ndimage.convolve documentation is incorrect * `#14750 <https://github.com/scipy/scipy/issues/14750>`__: ENH: Add one more derivative-free optimization method * `#14753 <https://github.com/scipy/scipy/issues/14753>`__: Offer to collaborate on truncated normal estimation by minimax... * `#14777 <https://github.com/scipy/scipy/issues/14777>`__: BUG: Wrong limit and no warning in stats.t for df=np.inf * `#14793 <https://github.com/scipy/scipy/issues/14793>`__: BUG: Missing pairs in cKDTree.query_pairs when coordinates contain... * `#14861 <https://github.com/scipy/scipy/issues/14861>`__: BUG: unclear error message when all bounds are all equal for... * `#14889 <https://github.com/scipy/scipy/issues/14889>`__: BUG: NumPy's \`random\` module should not be in the \`scipy\`... * `#14914 <https://github.com/scipy/scipy/issues/14914>`__: CI job with code coverage is failing (yet again) * `#14926 <https://github.com/scipy/scipy/issues/14926>`__: RegularGridInterpolator should be called RectilinearGridInterpolator * `#14986 <https://github.com/scipy/scipy/issues/14986>`__: Prevent new Python versions from trying to install older releases... * `#14994 <https://github.com/scipy/scipy/issues/14994>`__: BUG: Levy stable * `#15009 <https://github.com/scipy/scipy/issues/15009>`__: BUG: scipy.stats.multiscale_graphcorr p-values are computed differently... * `#15059 <https://github.com/scipy/scipy/issues/15059>`__: BUG: documentation inconsistent with code for find_peaks_cwt * `#15082 <https://github.com/scipy/scipy/issues/15082>`__: DOC: Sampling from the truncated normal * `#15110 <https://github.com/scipy/scipy/issues/15110>`__: BUG: truncnorm.cdf returns incorrect values at tail * `#15125 <https://github.com/scipy/scipy/issues/15125>`__: Deprecate \`scipy.spatial.distance.kulsinski\` * `#15133 <https://github.com/scipy/scipy/issues/15133>`__: BUG: Log_norm description is incorrect and produces incorrect... * `#15150 <https://github.com/scipy/scipy/issues/15150>`__: BUG: RBFInterpolator is much slower than Rbf for vector data * `#15172 <https://github.com/scipy/scipy/issues/15172>`__: BUG: special: High relative error in \`log_ndtr\` * `#15195 <https://github.com/scipy/scipy/issues/15195>`__: BUGS: stats: Tracking issue for distributions that warn and/or... * `#15199 <https://github.com/scipy/scipy/issues/15199>`__: BUG: Error occured \`spsolve_triangular\` * `#15210 <https://github.com/scipy/scipy/issues/15210>`__: BUG: A sparse matrix raises a ValueError when \`__rmul__\` with... * `#15245 <https://github.com/scipy/scipy/issues/15245>`__: MAINT: scipy.stats._levy_stable should be treated as subpackage... * `#15252 <https://github.com/scipy/scipy/issues/15252>`__: DOC: Multivariate normal CDF docstring typo * `#15296 <https://github.com/scipy/scipy/issues/15296>`__: BUG: SciPy 1.7.x build failure on Cygwin * `#15308 <https://github.com/scipy/scipy/issues/15308>`__: BUG: OpenBLAS 0.3.18 support * `#15338 <https://github.com/scipy/scipy/issues/15338>`__: DOC: Rename \`\*args\` param in \`f_oneway\` to \`\*samples\` * `#15345 <https://github.com/scipy/scipy/issues/15345>`__: BUG: boschloo_exact gives pvalue > 1 (and sometimes nan) * `#15368 <https://github.com/scipy/scipy/issues/15368>`__: build warnings for \`unuran_wrapper.pyx\` * `#15373 <https://github.com/scipy/scipy/issues/15373>`__: BUG: Tippett’s and Pearson’s method for combine_pvalues are not... * `#15415 <https://github.com/scipy/scipy/issues/15415>`__: \`integrate.quad_vec\` missing documentation for \`limit\` parameter * `#15456 <https://github.com/scipy/scipy/issues/15456>`__: Segfault in HiGHS code when building with Mingw-w64 on Windows * `#15458 <https://github.com/scipy/scipy/issues/15458>`__: DOC: Documentation inaccuracy of scipy.interpolate.bisplev * `#15488 <https://github.com/scipy/scipy/issues/15488>`__: ENH: missing examples for scipy.optimize in docs * `#15507 <https://github.com/scipy/scipy/issues/15507>`__: BUG: scipy.optimize.linprog: the algorithm determines the problem... * `#15508 <https://github.com/scipy/scipy/issues/15508>`__: BUG: Incorrect error message in multivariate_normal * `#15541 <https://github.com/scipy/scipy/issues/15541>`__: BUG: scipy.stats.powerlaw, why should x ∈ (0,1)? x can exceed... * `#15551 <https://github.com/scipy/scipy/issues/15551>`__: MAINT: stats: deprecating non-numeric array support in \`stats.mode\` * `#15568 <https://github.com/scipy/scipy/issues/15568>`__: BENCH/CI: Benchmark timeout * `#15572 <https://github.com/scipy/scipy/issues/15572>`__: BUG: \`scipy.spatial.transform.rotation\`, wrong deprecation... * `#15575 <https://github.com/scipy/scipy/issues/15575>`__: BUG: Tests failing for initial build [arm64 machine] * `#15589 <https://github.com/scipy/scipy/issues/15589>`__: BUG: scipy.special.factorialk docstring inconsistent with behaviour * `#15601 <https://github.com/scipy/scipy/issues/15601>`__: BUG: Scalefactors for \`signal.csd\` with \`average=='median'\`... * `#15617 <https://github.com/scipy/scipy/issues/15617>`__: ENH: stats: all multivariate distributions should be freezable * `#15631 <https://github.com/scipy/scipy/issues/15631>`__: BUG: stats.fit: intermittent failure in doctest * `#15635 <https://github.com/scipy/scipy/issues/15635>`__: CI:ASK: Remove LaTeX doc builds? * `#15638 <https://github.com/scipy/scipy/issues/15638>`__: DEV: \`dev.py\` missing PYTHONPATH when building doc * `#15644 <https://github.com/scipy/scipy/issues/15644>`__: DOC: stats.ks_1samp: incorrect commentary in examples * `#15666 <https://github.com/scipy/scipy/issues/15666>`__: CI: CircleCI build_docs failure on main * `#15670 <https://github.com/scipy/scipy/issues/15670>`__: BUG: AssertionError in test__dual_annealing.py in test_bounds_class * `#15689 <https://github.com/scipy/scipy/issues/15689>`__: BUG: default value of shape parameter in fit method of rv_continuous... * `#15692 <https://github.com/scipy/scipy/issues/15692>`__: CI: scipy.scipy (Main refguide_asv_check) failure in main * `#15696 <https://github.com/scipy/scipy/issues/15696>`__: DOC: False information in docs - scipy.stats.ttest_1samp * `#15700 <https://github.com/scipy/scipy/issues/15700>`__: BUG: AssertionError in test_propack.py * `#15730 <https://github.com/scipy/scipy/issues/15730>`__: BUG: "terminate called after throwing an instance of 'std::out_of_range'"... * `#15732 <https://github.com/scipy/scipy/issues/15732>`__: DEP: execute deprecation of inexact indices into sparse matrices * `#15734 <https://github.com/scipy/scipy/issues/15734>`__: DEP: deal with deprecation of ndim >1 in bspline * `#15735 <https://github.com/scipy/scipy/issues/15735>`__: DEP: add actual DeprecationWarning for sym_pos-keyword of scipy.linalg.solve * `#15736 <https://github.com/scipy/scipy/issues/15736>`__: DEP: Remove \`debug\` keyword from \`scipy.linalg.solve_\*\` * `#15737 <https://github.com/scipy/scipy/issues/15737>`__: DEP: Execute deprecation of pinv2 * `#15739 <https://github.com/scipy/scipy/issues/15739>`__: DEP: sharpen deprecation for >1-dim inputs in optimize.minimize * `#15740 <https://github.com/scipy/scipy/issues/15740>`__: DEP: Execute deprecation for squeezing input vectors in spatial.distance * `#15741 <https://github.com/scipy/scipy/issues/15741>`__: DEP: remove spatial.distance.matching * `#15742 <https://github.com/scipy/scipy/issues/15742>`__: DEP: raise if fillvalue cannot be cast to output type in \`signal.convolve2d\` * `#15743 <https://github.com/scipy/scipy/issues/15743>`__: DEP: enforce radius for \`spatial.SphericalVoronoi\` * `#15744 <https://github.com/scipy/scipy/issues/15744>`__: DEP: sharpen deprecation of dual_annealing argument 'local_search_options' * `#15745 <https://github.com/scipy/scipy/issues/15745>`__: DEP: remove signal.windows.hanning * `#15746 <https://github.com/scipy/scipy/issues/15746>`__: DEP: remove k=None from KDTree.query * `#15747 <https://github.com/scipy/scipy/issues/15747>`__: DEP: stats: remove support for \`_rvs\` without \`size\` parameter * `#15750 <https://github.com/scipy/scipy/issues/15750>`__: DEP: remove \`n_jobs\` from kdtree * `#15751 <https://github.com/scipy/scipy/issues/15751>`__: DEP: remove ftol/xtol from neldermead * `#15752 <https://github.com/scipy/scipy/issues/15752>`__: DEP: remove right keyword from interpolate.PPoly.extend * `#15753 <https://github.com/scipy/scipy/issues/15753>`__: DEP: remove \`_ppform\` * `#15754 <https://github.com/scipy/scipy/issues/15754>`__: DEP: Remove mlab mode from dendrogram * `#15757 <https://github.com/scipy/scipy/issues/15757>`__: DEP: docstring-related deprecations * `#15758 <https://github.com/scipy/scipy/issues/15758>`__: DEP: remove LAPACK \*gegv functions * `#15759 <https://github.com/scipy/scipy/issues/15759>`__: DEP: remove old BSR methods * `#15760 <https://github.com/scipy/scipy/issues/15760>`__: DEP: remove py_vq2 * `#15761 <https://github.com/scipy/scipy/issues/15761>`__: DEP: remove stats.itemfreq * `#15762 <https://github.com/scipy/scipy/issues/15762>`__: DEP: remove stats.median_absolute_deviation * `#15773 <https://github.com/scipy/scipy/issues/15773>`__: BUG: iirfilter allows Wn[1] < Wn[0] for band-pass and band-stop... * `#15780 <https://github.com/scipy/scipy/issues/15780>`__: BUG: CI on Azure broken with PyTest 7.1 * `#15843 <https://github.com/scipy/scipy/issues/15843>`__: BUG: scipy.stats.brunnermunzel incorrectly returns nan for undocumented... * `#15854 <https://github.com/scipy/scipy/issues/15854>`__: CI: Windows Meson job failing sometimes on OpenBLAS binary download * `#15866 <https://github.com/scipy/scipy/issues/15866>`__: BUG/CI: Wrong python version used for tests labeled "Linux Tests... * `#15871 <https://github.com/scipy/scipy/issues/15871>`__: BUG: stats: Test failure of \`TestTruncnorm.test_moments\` on... * `#15899 <https://github.com/scipy/scipy/issues/15899>`__: BUG: _calc_uniform_order_statistic_medians documentation example... * `#15927 <https://github.com/scipy/scipy/issues/15927>`__: BUG: Inconsistent handling of INF and NAN in signal.convolve * `#15931 <https://github.com/scipy/scipy/issues/15931>`__: BUG: scipy/io/arff/tests/test_arffread.py::TestNoData::test_nodata... * `#15960 <https://github.com/scipy/scipy/issues/15960>`__: BUG: Documentation Error in scipy.signal.lfilter * `#15961 <https://github.com/scipy/scipy/issues/15961>`__: BUG: scipy.stats.beta and bernoulli fails with float32 inputs * `#15962 <https://github.com/scipy/scipy/issues/15962>`__: Race condition in macOS Meson build between \`_matfuncs_expm\`... * `#15987 <https://github.com/scipy/scipy/issues/15987>`__: CI: \`np.matrix\` deprecation warning * `#16007 <https://github.com/scipy/scipy/issues/16007>`__: BUG: Confusing documentation in \`ttest_ind_from_stats\` * `#16011 <https://github.com/scipy/scipy/issues/16011>`__: BUG: typo in documentation for scipy.optimize.basinhopping * `#16020 <https://github.com/scipy/scipy/issues/16020>`__: BUG: dev.py FileNotFoundError * `#16027 <https://github.com/scipy/scipy/issues/16027>`__: jc should be (n-1)/2 * `#16031 <https://github.com/scipy/scipy/issues/16031>`__: BUG: scipy.sparse.linalg.norm does not work on sparse arrays * `#16036 <https://github.com/scipy/scipy/issues/16036>`__: Missing \`f\` prefix on f-strings * `#16054 <https://github.com/scipy/scipy/issues/16054>`__: Bug: Meson build with dev.py fails to detect SciPy with debian... * `#16065 <https://github.com/scipy/scipy/issues/16065>`__: BUG: Gitpod build with \`python runtests.py\` fails; move to... * `#16074 <https://github.com/scipy/scipy/issues/16074>`__: BUG: refguide check fails with \`numpydoc==1.3\` * `#16081 <https://github.com/scipy/scipy/issues/16081>`__: CI, MAINT: minor refguide failure with stats.describe * `#16121 <https://github.com/scipy/scipy/issues/16121>`__: DOC: scipy.interpolate.RegularGridInterpolator and interpn works... * `#16162 <https://github.com/scipy/scipy/issues/16162>`__: BUG: curve_fit gives wrong results with Pandas float32 * `#16171 <https://github.com/scipy/scipy/issues/16171>`__: BUG: scipy.stats.multivariate_hypergeom.rvs raises ValueError... * `#16219 <https://github.com/scipy/scipy/issues/16219>`__: \`TestSobol.test_0dim\` failure on 32-bit Linux job * `#16233 <https://github.com/scipy/scipy/issues/16233>`__: BUG: Memory leak in function \`sf_error\` due to new reference... * `#16254 <https://github.com/scipy/scipy/issues/16254>`__: DEP: add deprecation warning to \`maxiter\` kwarg in \`_minimize_tnc\` * `#16292 <https://github.com/scipy/scipy/issues/16292>`__: BUG: compilation error: no matching constructor for initialization... * `#16300 <https://github.com/scipy/scipy/issues/16300>`__: BLD: pip install build issue with meson in Ubuntu virtualenv * `#16337 <https://github.com/scipy/scipy/issues/16337>`__: TST: stats/tests/test_axis_nan_policy.py::test_axis_nan_policy_full... * `#16347 <https://github.com/scipy/scipy/issues/16347>`__: TST, MAINT: 32-bit Linux test failures in wheels repo * `#16358 <https://github.com/scipy/scipy/issues/16358>`__: TST, MAINT: test_theilslopes_warnings fails on 32-bit Windows * `#16378 <https://github.com/scipy/scipy/issues/16378>`__: DOC: pydata-sphinx-theme v0.9 defaults to darkmode depending... * `#16381 <https://github.com/scipy/scipy/issues/16381>`__: BUG: bootstrap get ValueError for paired statistic * `#16382 <https://github.com/scipy/scipy/issues/16382>`__: BUG: truncnorm.fit does not fit correctly * `#16403 <https://github.com/scipy/scipy/issues/16403>`__: MAINT: NumPy main will require a few updates due to new floating... * `#16409 <https://github.com/scipy/scipy/issues/16409>`__: BUG: SIGSEGV in qhull when array type is wrong * `#16418 <https://github.com/scipy/scipy/issues/16418>`__: BUG: breaking change: scipy.stats.mode returned value has changed... * `#16419 <https://github.com/scipy/scipy/issues/16419>`__: BUG: scipy.stats.nbinom.logcdf returns wrong results when some... * `#16426 <https://github.com/scipy/scipy/issues/16426>`__: BUG: stats.shapiro inplace modification of user array * `#16446 <https://github.com/scipy/scipy/issues/16446>`__: BUG: Issue with stripping on macOS Monterey + xcode 13.2 * `#16465 <https://github.com/scipy/scipy/issues/16465>`__: BLD: new sdist has some metadata issues * `#16466 <https://github.com/scipy/scipy/issues/16466>`__: BUG: linprog failure - OptimizeResult.x returns NoneType * `#16495 <https://github.com/scipy/scipy/issues/16495>`__: HiGHS does not compile on windows (on conda-forge infra) * `#16523 <https://github.com/scipy/scipy/issues/16523>`__: BUG: test failure in pre-release job: \`TestFactorized.test_singular_with_umfpack\` * `#16540 <https://github.com/scipy/scipy/issues/16540>`__: BLD: meson 0.63.0 and new CI testing failures on Linux * `#16555 <https://github.com/scipy/scipy/issues/16555>`__: Building 1.9.x branch from source requires fix in meson-python... * `#16609 <https://github.com/scipy/scipy/issues/16609>`__: BUG: \`scipy.optimize.linprog\` reports optimal for trivially... * `#16681 <https://github.com/scipy/scipy/issues/16681>`__: BUG: linprog integrality only accepts list, not array * `#16718 <https://github.com/scipy/scipy/issues/16718>`__: BUG: memoryview error with Cython 0.29.31 ************************** Pull requests for 1.9.0 ************************** * `#9523 <https://github.com/scipy/scipy/pull/9523>`__: ENH: improvements to the Stable distribution * `#11829 <https://github.com/scipy/scipy/pull/11829>`__: Fixes safe handling of small singular values in svds. * `#13490 <https://github.com/scipy/scipy/pull/13490>`__: DEV: stats: check for distribution/method keyword name collisions * `#13572 <https://github.com/scipy/scipy/pull/13572>`__: ENH: n-D and nan_policy support for scipy.stats.percentileofscore * `#13918 <https://github.com/scipy/scipy/pull/13918>`__: ENH: Poisson Disk sampling for QMC * `#13955 <https://github.com/scipy/scipy/pull/13955>`__: DOC: SciPy extensions for code style and docstring guidelines. * `#14003 <https://github.com/scipy/scipy/pull/14003>`__: DOC: clarify the definition of the pdf of \`stats.fisk\` * `#14036 <https://github.com/scipy/scipy/pull/14036>`__: ENH: fix numerical issues in roots_jacobi and related special... * `#14087 <https://github.com/scipy/scipy/pull/14087>`__: DOC: explain null hypotheses in ttest functions * `#14142 <https://github.com/scipy/scipy/pull/14142>`__: DOC: Add better error message for unpacking issue * `#14143 <https://github.com/scipy/scipy/pull/14143>`__: Support LinearOperator in expm_multiply * `#14300 <https://github.com/scipy/scipy/pull/14300>`__: ENH: Adding DIRECT algorithm to \`\`scipy.optimize\`\` * `#14576 <https://github.com/scipy/scipy/pull/14576>`__: ENH: stats: add one-sample Monte Carlo hypothesis test * `#14642 <https://github.com/scipy/scipy/pull/14642>`__: ENH: add Lloyd's algorithm to \`scipy.spatial\` to improve a... * `#14718 <https://github.com/scipy/scipy/pull/14718>`__: DOC: stats: adjust bootstrap doc to emphasize that batch controls... * `#14781 <https://github.com/scipy/scipy/pull/14781>`__: BUG: stats: handle infinite \`df\` in \`t\` distribution * `#14847 <https://github.com/scipy/scipy/pull/14847>`__: ENH: BLD: enable building SciPy with Meson * `#14877 <https://github.com/scipy/scipy/pull/14877>`__: DOC: ndimage convolve origin documentation (#14745) * `#15001 <https://github.com/scipy/scipy/pull/15001>`__: ENH: sparse.linalg: More comprehensive tests (Not only for 1-D... * `#15026 <https://github.com/scipy/scipy/pull/15026>`__: ENH: allow approx_fprime to work with vector-valued func * `#15079 <https://github.com/scipy/scipy/pull/15079>`__: ENH:linalg: expm overhaul and ndarray processing * `#15140 <https://github.com/scipy/scipy/pull/15140>`__: ENH: Make \`stats.kappa3\` work with array inputs * `#15154 <https://github.com/scipy/scipy/pull/15154>`__: DOC: a small bug in docstring example of \`lobpcg\` * `#15165 <https://github.com/scipy/scipy/pull/15165>`__: MAINT: Avoid using del to remove numpy symbols in scipy.__init__.py * `#15168 <https://github.com/scipy/scipy/pull/15168>`__: REL: set version to 1.9.0.dev0 * `#15169 <https://github.com/scipy/scipy/pull/15169>`__: DOC: fix formatting of Methods in multivariate distributions * `#15171 <https://github.com/scipy/scipy/pull/15171>`__: \`AttrDict\` raises \`AttributeError\` on missing attributes,... * `#15176 <https://github.com/scipy/scipy/pull/15176>`__: BUG: special: Clean up some private namespaces and fix \`special.__all__\` * `#15182 <https://github.com/scipy/scipy/pull/15182>`__: MAINT: fix typos principle -> principal * `#15184 <https://github.com/scipy/scipy/pull/15184>`__: MAINT: CI: Rename 'Nightly CPython' job to 'NumPy main' * `#15187 <https://github.com/scipy/scipy/pull/15187>`__: BUG: special: Fix numerical precision issue of log_ndtr * `#15188 <https://github.com/scipy/scipy/pull/15188>`__: MAINT: sparse.linalg: Using more concise and user-friendly f-string... * `#15190 <https://github.com/scipy/scipy/pull/15190>`__: MAINT: interpolate: speed up the RBFInterpolator evaluation with... * `#15196 <https://github.com/scipy/scipy/pull/15196>`__: BUG: stats: Fix handling of support endpoints in two distributions. * `#15197 <https://github.com/scipy/scipy/pull/15197>`__: MAINT: build dependency updates * `#15202 <https://github.com/scipy/scipy/pull/15202>`__: MAINT: special: Don't use macro for 'extern "C"' in strictly... * `#15205 <https://github.com/scipy/scipy/pull/15205>`__: BUG: stats: Fix spurious warnings generated by several distributions. * `#15207 <https://github.com/scipy/scipy/pull/15207>`__: MAINT: sparse.linalg: Using the interface with the trace of sparse... * `#15219 <https://github.com/scipy/scipy/pull/15219>`__: DOC: Corrected docstring of ndimage.sum_labels * `#15223 <https://github.com/scipy/scipy/pull/15223>`__: DOC: x0->x for finite_diff_rel_step docstring closes #15208 * `#15230 <https://github.com/scipy/scipy/pull/15230>`__: ENH: expose submodules via \`__getattr__\` to allow lazy access * `#15234 <https://github.com/scipy/scipy/pull/15234>`__: TST: stats: mark very slow tests as \`xslow\` * `#15235 <https://github.com/scipy/scipy/pull/15235>`__: BUG: Fix rmul dispatch of spmatrix * `#15243 <https://github.com/scipy/scipy/pull/15243>`__: DOC: stats: add reference for gstd * `#15244 <https://github.com/scipy/scipy/pull/15244>`__: Added example for morphology: binary_dilation and erosion * `#15250 <https://github.com/scipy/scipy/pull/15250>`__: ENH: Make \`stats.kappa4\` work with array * `#15251 <https://github.com/scipy/scipy/pull/15251>`__: [MRG] ENH: Update \`laplacian\` function introducing the new... * `#15255 <https://github.com/scipy/scipy/pull/15255>`__: MAINT: Remove \`distutils\` usage in \`runtests.py\` to fix deprecation... * `#15259 <https://github.com/scipy/scipy/pull/15259>`__: MAINT: optimize, special, signal: Use custom warnings instead... * `#15261 <https://github.com/scipy/scipy/pull/15261>`__: DOC: Add inline comment in Hausdorff distance calculation * `#15265 <https://github.com/scipy/scipy/pull/15265>`__: DOC: update .mailmap * `#15266 <https://github.com/scipy/scipy/pull/15266>`__: CI: remove coverage usage from Windows jobs * `#15269 <https://github.com/scipy/scipy/pull/15269>`__: BLD: add setup.py for \`stats/_levy_stable\` * `#15272 <https://github.com/scipy/scipy/pull/15272>`__: BUG: Fix owens_t function when a tends to infinity * `#15274 <https://github.com/scipy/scipy/pull/15274>`__: DOC: fix docstring in _cdf() function of _multivariate.py * `#15284 <https://github.com/scipy/scipy/pull/15284>`__: TST: silence RuntimeWarning from \`np.det\` in \`signal.place_poles\`... * `#15285 <https://github.com/scipy/scipy/pull/15285>`__: CI: simplify 32-bit Linux testing * `#15286 <https://github.com/scipy/scipy/pull/15286>`__: MAINT: Highs submodule CI issue - use shallow cloning * `#15289 <https://github.com/scipy/scipy/pull/15289>`__: DOC: Misc numpydoc formatting. * `#15291 <https://github.com/scipy/scipy/pull/15291>`__: DOC: some more docstring/numpydoc formatting. * `#15294 <https://github.com/scipy/scipy/pull/15294>`__: ENH: add integrality constraints for linprog * `#15300 <https://github.com/scipy/scipy/pull/15300>`__: DOC: Misc manual docs updates. * `#15302 <https://github.com/scipy/scipy/pull/15302>`__: DOC: More docstring reformatting. * `#15304 <https://github.com/scipy/scipy/pull/15304>`__: CI: fix Gitpod build by adding HiGHS submodule checkout * `#15305 <https://github.com/scipy/scipy/pull/15305>`__: BLD: update NumPy to >=1.18.5, setuptools to <60.0 * `#15309 <https://github.com/scipy/scipy/pull/15309>`__: CI: update OpenBLAS to 0.3.18 in Azure jobs * `#15310 <https://github.com/scipy/scipy/pull/15310>`__: ENH: signal: Add Kaiser-Bessel derived window function * `#15312 <https://github.com/scipy/scipy/pull/15312>`__: BUG: special: Fix loss of precision in pseudo_huber when r/delta... * `#15314 <https://github.com/scipy/scipy/pull/15314>`__: MAINT: changed needed after renaming \`master\` branch to \`main\` * `#15315 <https://github.com/scipy/scipy/pull/15315>`__: MAINT: account for NumPy master -> main renaming * `#15325 <https://github.com/scipy/scipy/pull/15325>`__: CI: reshuffle two Windows Azure CI jobs, and don't run 'full'... * `#15330 <https://github.com/scipy/scipy/pull/15330>`__: ENH: optimize: support undocumented option \`full_output\` for... * `#15336 <https://github.com/scipy/scipy/pull/15336>`__: DOC: update detailed roadmap * `#15344 <https://github.com/scipy/scipy/pull/15344>`__: MAINT:stats: Renamed \`\*args\` param to \`\*samples\` * `#15347 <https://github.com/scipy/scipy/pull/15347>`__: ENH: stats: add weights in harmonic mean * `#15352 <https://github.com/scipy/scipy/pull/15352>`__: BLD: put upper bound \`setuptools<60.0\` in conda environment... * `#15357 <https://github.com/scipy/scipy/pull/15357>`__: ENH: interpolate: add new methods for RegularGridInterpolator. * `#15360 <https://github.com/scipy/scipy/pull/15360>`__: MAINT: speed up rvs of nakagami in scipy.stats * `#15361 <https://github.com/scipy/scipy/pull/15361>`__: MAINT: sparse.linalg: Remove unnecessary operations * `#15366 <https://github.com/scipy/scipy/pull/15366>`__: Make signal functions respect input dtype. * `#15370 <https://github.com/scipy/scipy/pull/15370>`__: DOC: governance members moved to scipy.org * `#15371 <https://github.com/scipy/scipy/pull/15371>`__: MAINT: stats: fix unuran compile-time warnings * `#15378 <https://github.com/scipy/scipy/pull/15378>`__: MAINT: remove version pinning on gmpy2 * `#15380 <https://github.com/scipy/scipy/pull/15380>`__: ENH/MAINT: Version switcher from the sphinx theme * `#15385 <https://github.com/scipy/scipy/pull/15385>`__: DOC: fix typo * `#15387 <https://github.com/scipy/scipy/pull/15387>`__: MAINT: Fix a couple build warnings. * `#15388 <https://github.com/scipy/scipy/pull/15388>`__: DOC: interpolate: improve \`RectBivariateSpline\` doc * `#15391 <https://github.com/scipy/scipy/pull/15391>`__: ENH: graph Laplacian as LinearOperator, add dtype and symmetrized... * `#15392 <https://github.com/scipy/scipy/pull/15392>`__: ENH: integrality constraints for differential_evolution * `#15394 <https://github.com/scipy/scipy/pull/15394>`__: ENH: optimize: improvements to \`LinearConstraint\` class * `#15396 <https://github.com/scipy/scipy/pull/15396>`__: DOC: Git:// protocol on github pending removal. * `#15399 <https://github.com/scipy/scipy/pull/15399>`__: ENH: stats: add \`axis\` tuple and \`nan_policy\` to \`hmean\` * `#15400 <https://github.com/scipy/scipy/pull/15400>`__: MAINT: sparse.linalg: Move the test function of GMRES to the... * `#15401 <https://github.com/scipy/scipy/pull/15401>`__: MAINT: DOC: analytics from analytics.scientific-python * `#15402 <https://github.com/scipy/scipy/pull/15402>`__: DOC: update pip_quickstart (submodules) * `#15406 <https://github.com/scipy/scipy/pull/15406>`__: MAINT: use \`Rotation.Random\` instead of manual generation * `#15407 <https://github.com/scipy/scipy/pull/15407>`__: BLD: meson: split pyx->c and Python extension build * `#15408 <https://github.com/scipy/scipy/pull/15408>`__: MAINT: check for negative weights in \`Rotation.align_vectors\` * `#15410 <https://github.com/scipy/scipy/pull/15410>`__: ENH: add \`order\` parameter to specify quaternion format * `#15413 <https://github.com/scipy/scipy/pull/15413>`__: ENH: stats: add \`rvs\` method for \`gennorm\` * `#15424 <https://github.com/scipy/scipy/pull/15424>`__: ENH: bypass LinearOperator in lobpcg for small-size cases * `#15427 <https://github.com/scipy/scipy/pull/15427>`__: MAINT: Manage imports in \`sparse.linalg\` * `#15431 <https://github.com/scipy/scipy/pull/15431>`__: Revert "ENH: add \`order\` parameter to specify quaternion format" * `#15436 <https://github.com/scipy/scipy/pull/15436>`__: ENH: stats: fit: function for fitting discrete and continuous... * `#15439 <https://github.com/scipy/scipy/pull/15439>`__: ENH: differential_evolution vectorized kwd * `#15440 <https://github.com/scipy/scipy/pull/15440>`__: MAINT: Try to detect scipy path in \`runtests.py\` while not... * `#15442 <https://github.com/scipy/scipy/pull/15442>`__: MAINT: Fix meson build warnings on windows * `#15443 <https://github.com/scipy/scipy/pull/15443>`__: DOC, BUG: Fix error in heading remapping for custom \`scipy.optimize:function\` domain directive * `#15445 <https://github.com/scipy/scipy/pull/15445>`__: ENH: stats: add \`nnlf\` method for discrete distributions * `#15451 <https://github.com/scipy/scipy/pull/15451>`__: BLD: further refinement of Cython dependencies * `#15452 <https://github.com/scipy/scipy/pull/15452>`__: BUG/DOC/TST: combine_pvalues: fix Tippett and Pearson * `#15453 <https://github.com/scipy/scipy/pull/15453>`__: ENH: Make dual_annealing work with Bounds class * `#15454 <https://github.com/scipy/scipy/pull/15454>`__: BLD: remove dependency on libnpymath from \`spatial._distance_wrap\` * `#15455 <https://github.com/scipy/scipy/pull/15455>`__: ENH: Support Bounds class in shgo * `#15459 <https://github.com/scipy/scipy/pull/15459>`__: DOC: documents parameter \`limit\` for function \`integrate.quad_vec\`. * `#15460 <https://github.com/scipy/scipy/pull/15460>`__: ENH: optimize: milp: mixed integer linear programming * `#15462 <https://github.com/scipy/scipy/pull/15462>`__: CI: switch one macOS CI job from distutils to meson * `#15464 <https://github.com/scipy/scipy/pull/15464>`__: ENH: Performance improvements for \`linear_sum_assignment\` * `#15465 <https://github.com/scipy/scipy/pull/15465>`__: DOC: stats: add weights in formulas and examples for gmean and... * `#15466 <https://github.com/scipy/scipy/pull/15466>`__: MAINT: fix compile errors with CPython 3.11 * `#15469 <https://github.com/scipy/scipy/pull/15469>`__: MAINT: Remove \`distutils\` usage * `#15470 <https://github.com/scipy/scipy/pull/15470>`__: ENH: \`stats.qmc\`: faster hypercube point comparison and scrambling... * `#15472 <https://github.com/scipy/scipy/pull/15472>`__: ENH: stats: add \`axis\` tuple and \`nan_policy\` to \`skew\` * `#15485 <https://github.com/scipy/scipy/pull/15485>`__: BLD: updates to Meson build files for more correct linking and... * `#15487 <https://github.com/scipy/scipy/pull/15487>`__: MAINT: typo in bsplines.py * `#15496 <https://github.com/scipy/scipy/pull/15496>`__: DOC: signal: fixed parameter 'order' for butter bandpass * `#15497 <https://github.com/scipy/scipy/pull/15497>`__: MAINT: update vendored uarray * `#15499 <https://github.com/scipy/scipy/pull/15499>`__: CI: remove matplotlib from 32-bit linux job, it fails to build * `#15501 <https://github.com/scipy/scipy/pull/15501>`__: MAINT: Remove unused variable warnings * `#15502 <https://github.com/scipy/scipy/pull/15502>`__: DEV: meson: allow specifying build directory and install prefix * `#15512 <https://github.com/scipy/scipy/pull/15512>`__: MAINT: optimize.linprog: make HiGHS default and deprecate old... * `#15523 <https://github.com/scipy/scipy/pull/15523>`__: DOC: fixed the link for fluiddyn's transonic vision in dev/roadmap.html. * `#15526 <https://github.com/scipy/scipy/pull/15526>`__: MAINT: add qrvs method to NumericalInversePolynomial in scipy.stats * `#15529 <https://github.com/scipy/scipy/pull/15529>`__: DOC: forward port 1.8.0 relnotes * `#15532 <https://github.com/scipy/scipy/pull/15532>`__: TST: parametrize test_ldl_type_size_combinations * `#15546 <https://github.com/scipy/scipy/pull/15546>`__: DOC: missing section for metrics * `#15555 <https://github.com/scipy/scipy/pull/15555>`__: MAINT: make unuran clone shallow * `#15557 <https://github.com/scipy/scipy/pull/15557>`__: DOC: fixes inaccuracy in bisplev documentation * `#15559 <https://github.com/scipy/scipy/pull/15559>`__: BENCH: selection of linalg solvers to facilitate expansion * `#15560 <https://github.com/scipy/scipy/pull/15560>`__: DOC: types and return values for Bessel Functions * `#15561 <https://github.com/scipy/scipy/pull/15561>`__: MAINT: update HiGHS submodule to include fix for Windows segfault * `#15563 <https://github.com/scipy/scipy/pull/15563>`__: CI: add a Windows CI job on GitHub Actions using Meson * `#15564 <https://github.com/scipy/scipy/pull/15564>`__: DOC: stray backticks * `#15565 <https://github.com/scipy/scipy/pull/15565>`__: DOC: incorrect underline lenght in section. * `#15567 <https://github.com/scipy/scipy/pull/15567>`__: ENH: stats.pareto fit improvement for parameter combinations * `#15569 <https://github.com/scipy/scipy/pull/15569>`__: DOC: pip quickstart: setup.py -> meson * `#15570 <https://github.com/scipy/scipy/pull/15570>`__: MAINT: bump test tolerance in test_linprog * `#15571 <https://github.com/scipy/scipy/pull/15571>`__: DOC: Wrong underline length * `#15578 <https://github.com/scipy/scipy/pull/15578>`__: Make Windows Python setup more standard * `#15581 <https://github.com/scipy/scipy/pull/15581>`__: MAINT: clarify deprecation warning spatial.transform.rotation * `#15583 <https://github.com/scipy/scipy/pull/15583>`__: DOC: clarify O(N) SO(N) in random rotations * `#15586 <https://github.com/scipy/scipy/pull/15586>`__: ENH: stats: Add 'alternative' and confidence interval to pearsonr * `#15590 <https://github.com/scipy/scipy/pull/15590>`__: DOC: factorialk docstring inconsistent with code * `#15597 <https://github.com/scipy/scipy/pull/15597>`__: DOC: update \`hyp2f1\` docstring example based on doctest * `#15598 <https://github.com/scipy/scipy/pull/15598>`__: BUG/ENH: \`lsq_linear\`: fixed incorrect \`lsmr_tol\` in first... * `#15603 <https://github.com/scipy/scipy/pull/15603>`__: BENCH: optimize: milp: add MILP benchmarks * `#15606 <https://github.com/scipy/scipy/pull/15606>`__: MAINT: allow multiplication sign \`×\` * `#15611 <https://github.com/scipy/scipy/pull/15611>`__: BUG:signal: Fix median bias in csd(..., average="median") * `#15616 <https://github.com/scipy/scipy/pull/15616>`__: CI: pin asv to avoid slowdowns in 0.5/0.5.1 * `#15619 <https://github.com/scipy/scipy/pull/15619>`__: DOC: stats: update interval and moment method signatures * `#15625 <https://github.com/scipy/scipy/pull/15625>`__: MAINT: Clean up \`type: ignore\` comments related to third-party... * `#15626 <https://github.com/scipy/scipy/pull/15626>`__: TST, MAINT: ignore np distutils dep * `#15629 <https://github.com/scipy/scipy/pull/15629>`__: MAINT: stats: fix \`trim1\` \`axis\` behavior * `#15632 <https://github.com/scipy/scipy/pull/15632>`__: ENH: stats.wilcoxon: return z-statistic (as requested) * `#15634 <https://github.com/scipy/scipy/pull/15634>`__: CI: Improve concurrency to cancel running jobs on PR update * `#15645 <https://github.com/scipy/scipy/pull/15645>`__: DOC: Add code example to the documentation of \`sparse.linalg.cg\`. * `#15646 <https://github.com/scipy/scipy/pull/15646>`__: DOC: stats.ks_1samp: correct examples * `#15647 <https://github.com/scipy/scipy/pull/15647>`__: ENH: add variable bits to \`stats.qmc.Sobol\` * `#15648 <https://github.com/scipy/scipy/pull/15648>`__: DOC: Add examples to documentation for \`scipy.special.ellipr{c,d,f,g,j}\` * `#15649 <https://github.com/scipy/scipy/pull/15649>`__: DEV/DOC: remove latex/pdf documentation * `#15651 <https://github.com/scipy/scipy/pull/15651>`__: DOC: stats.ks_2samp/stats.kstest: correct examples * `#15652 <https://github.com/scipy/scipy/pull/15652>`__: DOC: stats.circstd: add reference, notes, comments * `#15655 <https://github.com/scipy/scipy/pull/15655>`__: REL: fix small issue in pavement.py for release note writing * `#15656 <https://github.com/scipy/scipy/pull/15656>`__: DOC: Fix example for subset_by_index in eigh doc * `#15661 <https://github.com/scipy/scipy/pull/15661>`__: DOC: Additional examples for optimize user guide * `#15662 <https://github.com/scipy/scipy/pull/15662>`__: DOC: stats.fit: fix intermittent failure in doctest * `#15663 <https://github.com/scipy/scipy/pull/15663>`__: DOC: stats.burr12: fix typo * `#15664 <https://github.com/scipy/scipy/pull/15664>`__: BENCH: Add benchmarks for special.factorial/factorial2/factorialk * `#15673 <https://github.com/scipy/scipy/pull/15673>`__: DOC: fix intersphinx links * `#15682 <https://github.com/scipy/scipy/pull/15682>`__: MAINT: sparse.linalg: Clear up unnecessary modules imported in... * `#15684 <https://github.com/scipy/scipy/pull/15684>`__: DOC: add formula and documentation improvements for scipy.special.chndtr... * `#15690 <https://github.com/scipy/scipy/pull/15690>`__: ENH: add uarray multimethods for fast Hankel transforms * `#15694 <https://github.com/scipy/scipy/pull/15694>`__: MAINT,CI: signal: fix failing refguide check * `#15699 <https://github.com/scipy/scipy/pull/15699>`__: DOC: stats.ttest_1samp: update example * `#15701 <https://github.com/scipy/scipy/pull/15701>`__: BUG: Fix dual_annealing bounds test * `#15703 <https://github.com/scipy/scipy/pull/15703>`__: BUG: fix test fail in test_propack.py (loosen atol) * `#15710 <https://github.com/scipy/scipy/pull/15710>`__: MAINT: sparse.linalg: \`bnorm\` only calculate once * `#15712 <https://github.com/scipy/scipy/pull/15712>`__: ENH: \`scipy.stats.qmc.Sobol\`: allow 32 or 64 bit computation * `#15715 <https://github.com/scipy/scipy/pull/15715>`__: ENH: stats: add _axis_nan_policy_factory to moment * `#15718 <https://github.com/scipy/scipy/pull/15718>`__: ENH: Migration of \`write_release_and_log\` into standalone script * `#15723 <https://github.com/scipy/scipy/pull/15723>`__: TST: stats: make \`check_sample_var\` two-sided * `#15724 <https://github.com/scipy/scipy/pull/15724>`__: TST: stats: simplify \`check_sample_mean\` * `#15725 <https://github.com/scipy/scipy/pull/15725>`__: DEV: Try to detect scipy from dev installed path * `#15728 <https://github.com/scipy/scipy/pull/15728>`__: ENH: changed vague exception messages to a more descriptive ones... * `#15729 <https://github.com/scipy/scipy/pull/15729>`__: ENH: stats: add weighted power mean * `#15763 <https://github.com/scipy/scipy/pull/15763>`__: ENH: stats: replace ncf with Boost non_central_f distribution * `#15766 <https://github.com/scipy/scipy/pull/15766>`__: BUG: improve exceptions for private attributes in refactored... * `#15768 <https://github.com/scipy/scipy/pull/15768>`__: [DOC] fix typo in cython optimize help example * `#15769 <https://github.com/scipy/scipy/pull/15769>`__: MAINT: stats: check integrality in \`_argcheck\` as needed * `#15771 <https://github.com/scipy/scipy/pull/15771>`__: MAINT: stats: resolve discrete rvs dtype platform dependency * `#15774 <https://github.com/scipy/scipy/pull/15774>`__: MAINT: stats: remove deprecated \`median_absolute_deviation\` * `#15775 <https://github.com/scipy/scipy/pull/15775>`__: DOC: stats.lognorm: rephrase note about parameterization * `#15776 <https://github.com/scipy/scipy/pull/15776>`__: DOC: stats.powerlaw: more explicit explanation of support * `#15777 <https://github.com/scipy/scipy/pull/15777>`__: MAINT: stats.shapiro: subtract median from shapiro input * `#15778 <https://github.com/scipy/scipy/pull/15778>`__: MAINT: stats: more specific error type from \`rv_continuous.fit\` * `#15779 <https://github.com/scipy/scipy/pull/15779>`__: CI: don't run meson tests on forks and remove skip flags * `#15782 <https://github.com/scipy/scipy/pull/15782>`__: DEPR: remove k=None in KDTree.query * `#15783 <https://github.com/scipy/scipy/pull/15783>`__: CI:Pin pytest version to 7.0.1 on Azure * `#15785 <https://github.com/scipy/scipy/pull/15785>`__: MAINT: stats: remove deprecated itemfreq * `#15786 <https://github.com/scipy/scipy/pull/15786>`__: DOC: Add examples of integrals to integrate.quadpack * `#15788 <https://github.com/scipy/scipy/pull/15788>`__: DOC: update macOS and Linux contributor docs to use Python 3.9 * `#15789 <https://github.com/scipy/scipy/pull/15789>`__: DOC, MAINT: Remove numpydoc submodule * `#15791 <https://github.com/scipy/scipy/pull/15791>`__: MAINT: add ShapeInfo to continuous distributions in scipy.stats * `#15795 <https://github.com/scipy/scipy/pull/15795>`__: DEP: remove n_jobs from cKDTree * `#15797 <https://github.com/scipy/scipy/pull/15797>`__: scipy/_lib/boost: Update to d8626c9d2d937abf6a38a844522714ad72e63281 * `#15799 <https://github.com/scipy/scipy/pull/15799>`__: DEP: add warning for documented-as-deprecated extradoc * `#15802 <https://github.com/scipy/scipy/pull/15802>`__: DOC: Import Error in examples * `#15803 <https://github.com/scipy/scipy/pull/15803>`__: DOC: error in TransferFunctionDiscrete example * `#15804 <https://github.com/scipy/scipy/pull/15804>`__: DEP: sharpen warning message on >1-dim for optimize.minimize * `#15805 <https://github.com/scipy/scipy/pull/15805>`__: DEP: specify version to remove dual_annealing argument 'local_search_options' * `#15809 <https://github.com/scipy/scipy/pull/15809>`__: DOC,MAINT: remove \`quad_explain\` that has become irrelevant. * `#15810 <https://github.com/scipy/scipy/pull/15810>`__: DOC: stats.mood: validity only when observations are unique * `#15811 <https://github.com/scipy/scipy/pull/15811>`__: DOC: fix evaluate_all_bspl example. * `#15812 <https://github.com/scipy/scipy/pull/15812>`__: DOC: Couple of single to double backticks * `#15813 <https://github.com/scipy/scipy/pull/15813>`__: DOC: information about skip on CircleCI * `#15817 <https://github.com/scipy/scipy/pull/15817>`__: MAINT: stats.fisher_exact: improve docs and fix bugs * `#15819 <https://github.com/scipy/scipy/pull/15819>`__: DEP: docstring-related deprecations (#15757) * `#15821 <https://github.com/scipy/scipy/pull/15821>`__: DEP: add actual DeprecationWarning for sym_pos-keyword of scipy.linalg.solve * `#15822 <https://github.com/scipy/scipy/pull/15822>`__: DEP: remove \`right\` from interpolate.PPoly.extend * `#15823 <https://github.com/scipy/scipy/pull/15823>`__: DOC: Interpolative tutorial - wrong matrix fill var * `#15824 <https://github.com/scipy/scipy/pull/15824>`__: BUG: Handle base case for scipy.integrate.simpson when span along... * `#15825 <https://github.com/scipy/scipy/pull/15825>`__: TST: stats: xfail_on_32bit studentized_range moment test * `#15827 <https://github.com/scipy/scipy/pull/15827>`__: DOC: change docs that specify the SNR ratio definition for find_peaks_cwt(). * `#15828 <https://github.com/scipy/scipy/pull/15828>`__: DEP: raise value error for object arrays * `#15830 <https://github.com/scipy/scipy/pull/15830>`__: MAINT: stats: collocate bootstrap/permutation_test/monte_carlo_test * `#15831 <https://github.com/scipy/scipy/pull/15831>`__: MAINT: stats.rv_generic: fix unnecessary call to \`_munp\` in... * `#15835 <https://github.com/scipy/scipy/pull/15835>`__: FIX: Incorect boschloo pvalue * `#15837 <https://github.com/scipy/scipy/pull/15837>`__: DOC: Simplify conda command * `#15840 <https://github.com/scipy/scipy/pull/15840>`__: DOC: special: Add 'Examples' for wrightomega. * `#15842 <https://github.com/scipy/scipy/pull/15842>`__: DOC: Add examples for \`CGS\`, \`GCROTMK\` and \`BiCGSTAB\` iterative... * `#15846 <https://github.com/scipy/scipy/pull/15846>`__: DOC: Add efficiency condition for CSC sparse matrix and remove... * `#15847 <https://github.com/scipy/scipy/pull/15847>`__: BUG: adds warning to scipy.stats.brunnermunzel * `#15848 <https://github.com/scipy/scipy/pull/15848>`__: DOC: fix interp2d docs showing wrong Z array ordering. * `#15850 <https://github.com/scipy/scipy/pull/15850>`__: MAINT: sparse.linalg: Missing tfqmr in the re-entrancy test * `#15853 <https://github.com/scipy/scipy/pull/15853>`__: DEP: remove the keyword debug from linalg.solve * `#15855 <https://github.com/scipy/scipy/pull/15855>`__: ENH: stats.rv_continuous.expect: split interval to improve reliability * `#15867 <https://github.com/scipy/scipy/pull/15867>`__: CI: fix python version matrix in linux workflow * `#15868 <https://github.com/scipy/scipy/pull/15868>`__: CI: fix Azure workflows * `#15872 <https://github.com/scipy/scipy/pull/15872>`__: DEP: remove mlab from dendrogram * `#15874 <https://github.com/scipy/scipy/pull/15874>`__: DEP: remove py_vq2 * `#15875 <https://github.com/scipy/scipy/pull/15875>`__: DEP: remove old BSR methods * `#15876 <https://github.com/scipy/scipy/pull/15876>`__: DEP: remove _ppform * `#15881 <https://github.com/scipy/scipy/pull/15881>`__: DEP: remove signal.windows.hanning * `#15882 <https://github.com/scipy/scipy/pull/15882>`__: DEP: enforced radius in spherical voronoi * `#15885 <https://github.com/scipy/scipy/pull/15885>`__: DOC: stats: clarify truncnorm shape parameter definition * `#15886 <https://github.com/scipy/scipy/pull/15886>`__: BUG: check that iirfilter argument Wn satisfies Wn[0] < Wn[1] * `#15887 <https://github.com/scipy/scipy/pull/15887>`__: DEP: remove ftol/xtol from neldermead * `#15894 <https://github.com/scipy/scipy/pull/15894>`__: [BUG] make p-values consistent with the literature * `#15895 <https://github.com/scipy/scipy/pull/15895>`__: CI: remove pin on Jinja2 * `#15898 <https://github.com/scipy/scipy/pull/15898>`__: DOC: stats: correct documentation of \`wilcoxon\`'s behavior... * `#15900 <https://github.com/scipy/scipy/pull/15900>`__: DOC: fix import in example in _morestats * `#15905 <https://github.com/scipy/scipy/pull/15905>`__: MAINT: stats._moment: warn when catastrophic cancellation occurs * `#15909 <https://github.com/scipy/scipy/pull/15909>`__: DEP: deal with deprecation of ndim >1 in bspline * `#15911 <https://github.com/scipy/scipy/pull/15911>`__: MAINT: stats: fix \`gibrat\` name * `#15914 <https://github.com/scipy/scipy/pull/15914>`__: MAINT: special: Clean up C style in ndtr.c * `#15916 <https://github.com/scipy/scipy/pull/15916>`__: MAINT: stats: adjust tolerance of failing TestTruncnorm * `#15917 <https://github.com/scipy/scipy/pull/15917>`__: MAINT: stats: remove support for \`_rvs\` without \`size\` parameter * `#15920 <https://github.com/scipy/scipy/pull/15920>`__: ENH: stats.mannwhitneyu: add iterative implementation * `#15923 <https://github.com/scipy/scipy/pull/15923>`__: MAINT: stats: attempt to consolidate warnings and errors * `#15932 <https://github.com/scipy/scipy/pull/15932>`__: MAINT: stats: fix and thoroughly test \`rv_sample\` at non-integer... * `#15933 <https://github.com/scipy/scipy/pull/15933>`__: TST: test_nodata respect endianness * `#15938 <https://github.com/scipy/scipy/pull/15938>`__: DOC: sparse.linalg: add citations for COLAMD * `#15939 <https://github.com/scipy/scipy/pull/15939>`__: Update _dual_annealing.py * `#15945 <https://github.com/scipy/scipy/pull/15945>`__: BUG/ENH: \`MultinomialQMC.random\` shape to (n, pvals) * `#15946 <https://github.com/scipy/scipy/pull/15946>`__: DEP: remove inheritance to \`QMCEngine\` in \`MultinomialQMC\`... * `#15947 <https://github.com/scipy/scipy/pull/15947>`__: DOC: Revamp contributor setup guides * `#15953 <https://github.com/scipy/scipy/pull/15953>`__: DOC: Add meson docs to use gcc, clang build in parallel and optimization... * `#15955 <https://github.com/scipy/scipy/pull/15955>`__: BUG Fix signature of D_IIR_forback(1,2) * `#15959 <https://github.com/scipy/scipy/pull/15959>`__: ENH: Developer CLI for SciPy * `#15965 <https://github.com/scipy/scipy/pull/15965>`__: MAINT: stats: ensure that \`rv_continuous._fitstart\` shapes... * `#15968 <https://github.com/scipy/scipy/pull/15968>`__: BUG: Fix debug and coverage arguments with dev.py * `#15970 <https://github.com/scipy/scipy/pull/15970>`__: BLD: specify \`cython_lapack\` dependency for \`matfuncs_expm\` * `#15973 <https://github.com/scipy/scipy/pull/15973>`__: DOC: Add formula renderings to integrate.nquad. * `#15981 <https://github.com/scipy/scipy/pull/15981>`__: ENH: optimize: Add Newton-TFQMR method and some tests for Newton-Krylov * `#15982 <https://github.com/scipy/scipy/pull/15982>`__: BENCH: stats: Distribution memory and CDF/PPF round trip benchmarks * `#15983 <https://github.com/scipy/scipy/pull/15983>`__: TST: sparse.linalg: Add tests for the parameter \`show\` * `#15991 <https://github.com/scipy/scipy/pull/15991>`__: TST: fix for np.kron matrix issue. * `#15992 <https://github.com/scipy/scipy/pull/15992>`__: DOC: Fixed \`degrees\` parameter in return section * `#15997 <https://github.com/scipy/scipy/pull/15997>`__: MAINT: integrate: add \`recursive\` to QUADPACK Fortran sources * `#15998 <https://github.com/scipy/scipy/pull/15998>`__: BUG: Fix yeojohnson when transformed data has zero variance * `#15999 <https://github.com/scipy/scipy/pull/15999>`__: MAINT: Adds doit.db.db to gitignore * `#16004 <https://github.com/scipy/scipy/pull/16004>`__: MAINT: rename MaximumFlowResult.residual to flow * `#16005 <https://github.com/scipy/scipy/pull/16005>`__: DOC: sparse.linalg: Fixed the description of input matrix of... * `#16010 <https://github.com/scipy/scipy/pull/16010>`__: MAINT: Add a check to verify all \`.pyi\` files are installed... * `#16012 <https://github.com/scipy/scipy/pull/16012>`__: DOC: Fix broken link and add python headers to contributing guide * `#16015 <https://github.com/scipy/scipy/pull/16015>`__: DEP: bump version for deprecating residual to flow. * `#16018 <https://github.com/scipy/scipy/pull/16018>`__: Doc: fix arch linux building from source local dependencies instructions * `#16019 <https://github.com/scipy/scipy/pull/16019>`__: DOC: fix conda env name in quickstart guide [skip ci] * `#16021 <https://github.com/scipy/scipy/pull/16021>`__: DOC: typos in basinhopping documentation * `#16024 <https://github.com/scipy/scipy/pull/16024>`__: CI: unpin pytest and pytest-xdist * `#16026 <https://github.com/scipy/scipy/pull/16026>`__: BUG: Allow \`spsolve_triangular\` to work with matrices with... * `#16029 <https://github.com/scipy/scipy/pull/16029>`__: BUG: Fix meson-info file errors and add more informative exception * `#16030 <https://github.com/scipy/scipy/pull/16030>`__: MAINT: stats: more accurate error message for \`multivariate_normal\` * `#16032 <https://github.com/scipy/scipy/pull/16032>`__: FIX: show warning when passing NAN into input of convolve method * `#16037 <https://github.com/scipy/scipy/pull/16037>`__: MAINT: fix missing \`f\` prefix on f-strings * `#16042 <https://github.com/scipy/scipy/pull/16042>`__: MAINT: stats.dirichlet: fix interface inconsistency * `#16044 <https://github.com/scipy/scipy/pull/16044>`__: DEV: do.py, adoption of pkg pydevtool (removed non SciPy specific... * `#16045 <https://github.com/scipy/scipy/pull/16045>`__: ENH: Use circleci-artifacts-redirector-action * `#16051 <https://github.com/scipy/scipy/pull/16051>`__: MAINT: Miscellaneous small changes to filter_design * `#16053 <https://github.com/scipy/scipy/pull/16053>`__: Mark fitpack sources as \`recursive\` * `#16055 <https://github.com/scipy/scipy/pull/16055>`__: MAINT: stats: replace \`np.var\` with \`_moment(..., 2)\` to... * `#16058 <https://github.com/scipy/scipy/pull/16058>`__: DEV: Fix meson debian python build * `#16060 <https://github.com/scipy/scipy/pull/16060>`__: MAINT: Allow all Latin-1 Unicode letters in the source code. * `#16062 <https://github.com/scipy/scipy/pull/16062>`__: DOC: Document QUADPACK routines used in \`\*quad\` * `#16067 <https://github.com/scipy/scipy/pull/16067>`__: DEP: remove spatial.distance.matching * `#16070 <https://github.com/scipy/scipy/pull/16070>`__: ENH: interpolate: handle length-1 grid axes in RegularGridInterpolator * `#16073 <https://github.com/scipy/scipy/pull/16073>`__: DOC: expand RegularGridInterpolator docstring * `#16075 <https://github.com/scipy/scipy/pull/16075>`__: CI: Fix refguidecheck failures; unpin Sphinx * `#16077 <https://github.com/scipy/scipy/pull/16077>`__: BUG: interpolate: RGI(nan) is nan * `#16078 <https://github.com/scipy/scipy/pull/16078>`__: DEV,BLD: Use Meson in Gitpod builds * `#16082 <https://github.com/scipy/scipy/pull/16082>`__: BUG: refguide-check: allow multiline namedtuples * `#16083 <https://github.com/scipy/scipy/pull/16083>`__: DOC: fixing a sign issue in FFTlog function documentation * `#16092 <https://github.com/scipy/scipy/pull/16092>`__: ENH: interpolate: Add functionality to accept descending points... * `#16095 <https://github.com/scipy/scipy/pull/16095>`__: MAINT: Remove old filtered warnings * `#16100 <https://github.com/scipy/scipy/pull/16100>`__: MAINT: Fix a couple compiler warnings. * `#16104 <https://github.com/scipy/scipy/pull/16104>`__: DOC: stats: symmetry not checked for (inv)wishart distributions * `#16111 <https://github.com/scipy/scipy/pull/16111>`__: BUG: Fix norm for sparse arrays * `#16115 <https://github.com/scipy/scipy/pull/16115>`__: MAINT: merge \`environment.yml\` and \`environment_meson.yml\` * `#16117 <https://github.com/scipy/scipy/pull/16117>`__: MAINT: stats.wilcoxon: return \`zstatistic\` only when \`method='approx'\` * `#16118 <https://github.com/scipy/scipy/pull/16118>`__: Download openblas binary from GH repo * `#16122 <https://github.com/scipy/scipy/pull/16122>`__: CI: Speed up ci build that keeps timing out * `#16125 <https://github.com/scipy/scipy/pull/16125>`__: DOC: interpolate: fix typos "the the" -> "the" * `#16126 <https://github.com/scipy/scipy/pull/16126>`__: DOC: interpolate: details rectilinear grids in docstrings * `#16128 <https://github.com/scipy/scipy/pull/16128>`__: BUG: interpolate: fix extrapolation behaviors of \`previous\`... * `#16130 <https://github.com/scipy/scipy/pull/16130>`__: Increase time to timeout on azure * `#16134 <https://github.com/scipy/scipy/pull/16134>`__: BUG: signal: Fix calculation of extended image indices in convolve2d. * `#16135 <https://github.com/scipy/scipy/pull/16135>`__: MAINT: sparse.linalg: A minor improvement with zero initial guess * `#16137 <https://github.com/scipy/scipy/pull/16137>`__: Clean up fitpack smoke tests * `#16138 <https://github.com/scipy/scipy/pull/16138>`__: TST: interpolate: mark rbf chunking tests as slow * `#16141 <https://github.com/scipy/scipy/pull/16141>`__: DOC: Plot poles as x and zeros as o in signal * `#16144 <https://github.com/scipy/scipy/pull/16144>`__: DEP: Execute deprecation for squeezing input vectors in spatial.distance * `#16145 <https://github.com/scipy/scipy/pull/16145>`__: ENH: Fix signal.iircomb w0 bugs, add support for both frequency... * `#16150 <https://github.com/scipy/scipy/pull/16150>`__: Add typing info for Rotation.concatenate * `#16165 <https://github.com/scipy/scipy/pull/16165>`__: BUG: fix extension module initialization, needs use of \`PyMODINIT_FUNC\` * `#16166 <https://github.com/scipy/scipy/pull/16166>`__: MAINT:linalg: Expose Cython functions for generic use * `#16167 <https://github.com/scipy/scipy/pull/16167>`__: ENH: Tweak theilslopes and siegelslopes to return a tuple_bunch * `#16168 <https://github.com/scipy/scipy/pull/16168>`__: BUG: special: Fix the test 'test_d' that is run when SCIPY_XSLOW... * `#16173 <https://github.com/scipy/scipy/pull/16173>`__: Adds note to the curve_fit() docstring to use float64. * `#16176 <https://github.com/scipy/scipy/pull/16176>`__: MAINT: remove questionable uses of \`Py_FatalError\` in module... * `#16177 <https://github.com/scipy/scipy/pull/16177>`__: MAINT: Cleanup unused code in meson-files * `#16180 <https://github.com/scipy/scipy/pull/16180>`__: DEV: do.py build. On setup checks if intro-buildoptions.json... * `#16181 <https://github.com/scipy/scipy/pull/16181>`__: BUG: stats: fix multivariate_hypergeom.rvs method * `#16183 <https://github.com/scipy/scipy/pull/16183>`__: ENH: Simplify return names in stats.theil/siegelslopes (and fix... * `#16184 <https://github.com/scipy/scipy/pull/16184>`__: DEP: raise if fillvalue cannot be cast to output type in signal.convolve2d * `#16185 <https://github.com/scipy/scipy/pull/16185>`__: BUG: stats: Fix handling of float32 inputs for the boost-based... * `#16187 <https://github.com/scipy/scipy/pull/16187>`__: BLD: default to Meson in pyproject.toml * `#16194 <https://github.com/scipy/scipy/pull/16194>`__: BLD: add a build option to force use of the g77 ABI with Meson * `#16198 <https://github.com/scipy/scipy/pull/16198>`__: DEP: sharpen deprecation in NumericalInverseHermite * `#16206 <https://github.com/scipy/scipy/pull/16206>`__: CI: Test NumPy main branch also with Python 3.11 * `#16220 <https://github.com/scipy/scipy/pull/16220>`__: Create a new spline from a partial derivative of a bivariate... * `#16223 <https://github.com/scipy/scipy/pull/16223>`__: MAINT: interpolate: move RGI to a separate file * `#16228 <https://github.com/scipy/scipy/pull/16228>`__: TST: interpolate: move test_spalde_scalar to other fitpack tests * `#16229 <https://github.com/scipy/scipy/pull/16229>`__: REL: DOC: fix documentation URLs * `#16230 <https://github.com/scipy/scipy/pull/16230>`__: BUG: fix extension module initialization, needs use of PyMODINIT_FUNC,... * `#16239 <https://github.com/scipy/scipy/pull/16239>`__: MAINT: tools: Add more output to a refguide-check error message. * `#16241 <https://github.com/scipy/scipy/pull/16241>`__: DOC: stats: update roadmap * `#16242 <https://github.com/scipy/scipy/pull/16242>`__: BUG: Make KDTree more robust against nans. * `#16245 <https://github.com/scipy/scipy/pull/16245>`__: DEP: Execute deprecation of pinv2 * `#16247 <https://github.com/scipy/scipy/pull/16247>`__: DOC:linalg: Remove references to removed pinv2 function * `#16248 <https://github.com/scipy/scipy/pull/16248>`__: DOC: prep 1.9.0 release notes * `#16249 <https://github.com/scipy/scipy/pull/16249>`__: Refguide check verbosity abs names * `#16257 <https://github.com/scipy/scipy/pull/16257>`__: DEP: Deprecation follow-ups * `#16259 <https://github.com/scipy/scipy/pull/16259>`__: Revert "CI: pin Pip to 22.0.4 to avoid issues with \`--no-build-isolation\`" * `#16261 <https://github.com/scipy/scipy/pull/16261>`__: DEP: add deprecation warning to maxiter kwarg in _minimize_tnc * `#16264 <https://github.com/scipy/scipy/pull/16264>`__: DOC: update the RegularGridInterpolator docstring * `#16265 <https://github.com/scipy/scipy/pull/16265>`__: DEP: deprecate spatial.distance.kulsinski * `#16267 <https://github.com/scipy/scipy/pull/16267>`__: DOC: broken donation link on GitHub * `#16273 <https://github.com/scipy/scipy/pull/16273>`__: DOC: remove deprecated functions from refguide * `#16276 <https://github.com/scipy/scipy/pull/16276>`__: MAINT: sparse.linalg: Update some docstrings. * `#16279 <https://github.com/scipy/scipy/pull/16279>`__: MAINT: stats: override \`loguniform.fit\` to resolve overparameterization * `#16282 <https://github.com/scipy/scipy/pull/16282>`__: BUG: special: DECREF scipy_special object before exiting sf_error(). * `#16283 <https://github.com/scipy/scipy/pull/16283>`__: Corrections To Docs * `#16287 <https://github.com/scipy/scipy/pull/16287>`__: BLD: sync pyproject.toml changes from oldest-supported-numpy * `#16289 <https://github.com/scipy/scipy/pull/16289>`__: MAINT: stats: remove function-specific warning messages * `#16290 <https://github.com/scipy/scipy/pull/16290>`__: BLD: fix issue with \`python setup.py install\` and \`_directmodule\` * `#16295 <https://github.com/scipy/scipy/pull/16295>`__: MAINT: move \`import_array\` before module creation in module... * `#16296 <https://github.com/scipy/scipy/pull/16296>`__: DOC: REL: fix \`make dist\` issue with missing dependencies * `#16303 <https://github.com/scipy/scipy/pull/16303>`__: MAINT: revert addition of multivariate_beta * `#16304 <https://github.com/scipy/scipy/pull/16304>`__: MAINT: add a more informative error message for broken installs * `#16309 <https://github.com/scipy/scipy/pull/16309>`__: BLD: CI: fix issue in wheel metadata, and add basic "build in... * `#16316 <https://github.com/scipy/scipy/pull/16316>`__: REL: update version switcher for 1.8.1 * `#16321 <https://github.com/scipy/scipy/pull/16321>`__: DOC: fix incorrect formatting of deprecation tags * `#16326 <https://github.com/scipy/scipy/pull/16326>`__: REL: update version switcher for 1.9 * `#16329 <https://github.com/scipy/scipy/pull/16329>`__: MAINT: git security shim for 1.9.x * `#16339 <https://github.com/scipy/scipy/pull/16339>`__: MAINT, TST: bump tol for _axis_nan_policy_test * `#16341 <https://github.com/scipy/scipy/pull/16341>`__: BLD: update Pythran requirement to 0.11.0, to support Clang >=13 * `#16353 <https://github.com/scipy/scipy/pull/16353>`__: MAINT: version bounds 1.9.0rc1 * `#16360 <https://github.com/scipy/scipy/pull/16360>`__: MAINT, TST: sup warning for theilslopes * `#16361 <https://github.com/scipy/scipy/pull/16361>`__: MAINT: SCIPY_USE_PROPACK * `#16370 <https://github.com/scipy/scipy/pull/16370>`__: MAINT: update Boost submodule to include Cygwin fix * `#16374 <https://github.com/scipy/scipy/pull/16374>`__: MAINT: update pydata-sphinx-theme * `#16379 <https://github.com/scipy/scipy/pull/16379>`__: DOC: dark theme css adjustments * `#16390 <https://github.com/scipy/scipy/pull/16390>`__: TST, MAINT: adjust 32-bit xfails for HiGHS * `#16393 <https://github.com/scipy/scipy/pull/16393>`__: MAINT: use correct type for element wise comparison * `#16414 <https://github.com/scipy/scipy/pull/16414>`__: BUG: spatial: Handle integer arrays in HalfspaceIntersection. * `#16420 <https://github.com/scipy/scipy/pull/16420>`__: MAINT: next round of 1.9.0 backports * `#16422 <https://github.com/scipy/scipy/pull/16422>`__: TST: fix test issues with casting-related warnings with numpy... * `#16427 <https://github.com/scipy/scipy/pull/16427>`__: MAINT: stats.shapiro: don't modify input in place * `#16429 <https://github.com/scipy/scipy/pull/16429>`__: MAINT: stats.mode: revert gh-15423 * `#16436 <https://github.com/scipy/scipy/pull/16436>`__: DOC: optimize: Mark deprecated linprog methods explicitly * `#16444 <https://github.com/scipy/scipy/pull/16444>`__: BUG: fix fail to open tempfile in messagestream.pyx (#8850) * `#16451 <https://github.com/scipy/scipy/pull/16451>`__: MAINT: few more 1.9.0 backports * `#16453 <https://github.com/scipy/scipy/pull/16453>`__: DOC: Copy-edit 1.9.0-notes.rst * `#16457 <https://github.com/scipy/scipy/pull/16457>`__: TST: skip 32-bit test_pdist_correlation_iris_nonC * `#16458 <https://github.com/scipy/scipy/pull/16458>`__: MAINT: 1.9.0 backports * `#16473 <https://github.com/scipy/scipy/pull/16473>`__: REL: update 1.9.0 release notes * `#16482 <https://github.com/scipy/scipy/pull/16482>`__: DOC: Update Returns section of optimize.linprog. * `#16484 <https://github.com/scipy/scipy/pull/16484>`__: MAINT: remove raw html from README.rst * `#16485 <https://github.com/scipy/scipy/pull/16485>`__: BLD: fix warnings from f2py templating parsing * `#16493 <https://github.com/scipy/scipy/pull/16493>`__: BLD: clean up unwanted files in sdist, via \`.gitattributes\` * `#16507 <https://github.com/scipy/scipy/pull/16507>`__: REL: more tweaks to sdist contents * `#16512 <https://github.com/scipy/scipy/pull/16512>`__: [1.9] MAINT: skip complex128 propack tests on windows * `#16514 <https://github.com/scipy/scipy/pull/16514>`__: DOC: reflect correctly where windows wheels are built * `#16526 <https://github.com/scipy/scipy/pull/16526>`__: MAINT: 1.9.0rc2 backports * `#16530 <https://github.com/scipy/scipy/pull/16530>`__: MAINT: fix umfpack test failure with numpy 1.23 * `#16539 <https://github.com/scipy/scipy/pull/16539>`__: MAINT: more 1.9.0rc2 backports * `#16541 <https://github.com/scipy/scipy/pull/16541>`__: BLD: fix regression in building _lsap with symbol visibility * `#16549 <https://github.com/scipy/scipy/pull/16549>`__: BLD: fix an outdated requirement for macOS arm64 in pyproject.toml * `#16551 <https://github.com/scipy/scipy/pull/16551>`__: BLD: fix \`__STDC_VERSION__\` check in \`special/_round.h\` * `#16553 <https://github.com/scipy/scipy/pull/16553>`__: BLD: raise an error with clear message for too-new Python version * `#16556 <https://github.com/scipy/scipy/pull/16556>`__: DOC: small tweaks to 1.9.0 release notes * `#16563 <https://github.com/scipy/scipy/pull/16563>`__: DOC: Reflect MSVC minimum toolchain requirement * `#16570 <https://github.com/scipy/scipy/pull/16570>`__: MAINT: backports before 1.9.0rc3 * `#16572 <https://github.com/scipy/scipy/pull/16572>`__: MAINT: update bundled licenses for removal of scipy-sphinx-theme * `#16581 <https://github.com/scipy/scipy/pull/16581>`__: MAINT: stats: fix skew/kurtosis empty 1d input * `#16586 <https://github.com/scipy/scipy/pull/16586>`__: MAINT: stats.truncnorm: improve CDF accuracy/speed * `#16593 <https://github.com/scipy/scipy/pull/16593>`__: TST: stats: replace TestTruncnorm::test_moments * `#16599 <https://github.com/scipy/scipy/pull/16599>`__: MAINT: stats.truncnorm.rvs: improve performance * `#16605 <https://github.com/scipy/scipy/pull/16605>`__: MAINT: stats.truncnorm: simplify remaining methods * `#16622 <https://github.com/scipy/scipy/pull/16622>`__: ENH: FIX: update HiGHS submodule to resolve MIP infeasibility... * `#16638 <https://github.com/scipy/scipy/pull/16638>`__: DOC: update docs on building with Meson * `#16664 <https://github.com/scipy/scipy/pull/16664>`__: MAINT: stats._axis_nan_policy: preserve dtype of masked arrays... * `#16671 <https://github.com/scipy/scipy/pull/16671>`__: BLD: update \`meson\` and \`meson-python\` versions for 1.9.0... * `#16684 <https://github.com/scipy/scipy/pull/16684>`__: MAINT: optimize.linprog: ensure integrality can be an array * `#16688 <https://github.com/scipy/scipy/pull/16688>`__: DOC: a few mailmap updates * `#16719 <https://github.com/scipy/scipy/pull/16719>`__: MAINT: stats: Work around Cython bug. * `#16721 <https://github.com/scipy/scipy/pull/16721>`__: MAINT: stats.monte_carlo_test: used biased estimate of p-value Checksums ========= MD5 ~~~ 217a417f6165ad925251f1d12266812c Changelog aa513a179136e83af218f1b8260e38c6 README.txt dbde1f41df031baa7ca49b4104df82f0 scipy-1.9.0-cp310-cp310-macosx_10_9_x86_64.whl 38fb4789dc46ad79dbb8c737feeb2d5c scipy-1.9.0-cp310-cp310-macosx_12_0_arm64.whl 1aa449f965c578cdc823e6f06af5fa21 scipy-1.9.0-cp310-cp310-macosx_12_0_universal2.macosx_10_9_x86_64.whl 0db743378c745c4bda991c01a29aa0d2 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attrs 22.1.0
by Hynek Schlawack 28 Jul '22

28 Jul '22

I’m happy to announce a new release of attrs! attrs is the direct ancestor of – and the inspiration for – dataclasses in the standard library and remains the more powerful toolkit for creating regular classes without getting bogged down with writing repetitive boilerplate code: <https://www.attrs.org/> My heartfelt thanks go to: - My generous GitHub sponsors <https://github.com/sponsors/hynek>, - companies subscribing to attrs on Tidelift <https://tidelift.com/subscription/pkg/pypi-attrs>, - and people who buy me coffees on <https://ko-fi.com/the_hynek>! ❤️ That's the support that made me maintain attrs since 2015 with no end in sight! ❤️ ------------------------------------------------------------------------ (alternatively, see <https://github.com/python-attrs/attrs/releases> for a richer-formatted version of the following) Highlights The main features of this release are: - The departure of Python 2.7 (enjoy your retirement!), - and the arrival of Python 3.11. We had loftier goals feature-wise, but didn't want to block others embracing Python 3.11. Full Changelog Backwards-incompatible Changes - Python 2.7 is not supported anymore. Dealing with Python 2.7 tooling has become too difficult for a volunteer-run project. We have supported Python 2 more than 2 years after it was officially discontinued and feel that we have paid our dues. All version up to 21.4.0 from December 2021 remain fully functional, of course. #936 - The deprecated cmp attribute of attrs.Attribute has been removed. This does not affect the cmp argument to attr.s that can be used as a shortcut to set eq and order at the same time. #939 Changes - Instantiation of frozen slotted classes is now faster. #898 - If an eq key is defined, it is also used before hashing the attribute. #909 - Added attrs.validators.min_len(). #916 - attrs.validators.deep_iterable()'s member_validator argument now also accepts a list of validators and wraps them in an attrs.validators.and_(). #925 - Added missing type stub re-imports for attrs.converters and attrs.filters. #931 - Added missing stub for attr(s).cmp_using(). #949 - attrs.validators._in()'s ValueError is not missing the attribute, expected options, and the value it got anymore. #951 - Python 3.11 is now officially supported. #969

1 0

[ANN] Numba 0.56.0 and llvmlite 0.39.0
by Valentin Haenel 26 Jul '22

26 Jul '22

Dear all, Numba 0.56.0 and llvmlite 0.39.0 have been released. Please point your browsers at our Discourse for more information: https://numba.discourse.group/t/ann-numba-0-56-0/1461 https://numba.discourse.group/t/ann-llvmlite-0-39-0/1460 Best, V-

1 0

[RELEASE] The last 3.11 beta release (3.11.0b5) is now available
by Pablo Galindo Salgado 26 Jul '22

26 Jul '22

Here we are. The universe. The vastness of spacetime. At the edge. The last frontier. The last beta*(conditions apply) for Python 3.11. We have defied the powerful gods of release blockers and we have won by using the required amount of ruse and subterfuge. https://www.python.org/downloads/release/python-3110b5/ ## :warning: PLEASE HELP US TO TEST THIS RELEASE :warning: Due to the modified release schedule and the stability concerns regarding the past beta releases, please, please, please, please, help us to test Python 3.11 by testing this beta releases. * if you maintain a library or a third-party package. Test the beta releases! * If you have code that you maintain at work/research centre/classroom/whatever. Test the beta releases! * If you are a multi-million corporation that uses Python. Test the beta releases! * If you are a single-person company that uses Python. Test the beta releases! * If you have a bunch of Python scripts. Test the beta releases! * If you use Python for work, research, teaching or literally for anything. Test the beta releases! * If you ... In summary: no matter who you are of what you do. Test the beta releases! Is **very** important for us that we identify all possible things that may break your code **before** the final release is done and we can only do this if you help us by testing the beta releases and then report anything that doesn't work! ## This is a beta preview of Python 3.11 Python 3.11 is still in development. 3.11.0b5 is the last of five planned beta release previews. Beta release previews are intended to give the wider community the opportunity to test new features and bug fixes and to prepare their projects to support the new feature release. We **strongly encourage** maintainers of third-party Python projects to **test with 3.11** during the beta phase and report issues found to [the Python bug tracker](https://github.com/python/cpython/issues) as soon as possible. While the release is planned to be feature complete entering the beta phase, it is possible that features may be modified or, in rare cases, deleted up until the start of the release candidate phase (Monday, 2021-08-02). Our goal is have no ABI changes after beta 5 and as few code changes as possible after 3.11.0rc1, the first release candidate. To achieve that, it will be **extremely important** to get as much exposure for 3.11 as possible during the beta phase. Please keep in mind that this is a preview release and its use is **not** recommended for production environments. # Major new features of the 3.11 series, compared to 3.10 Some of the new major new features and changes in Python 3.11 are: ## General changes * [PEP 657](https://www.python.org/dev/peps/pep-0657/) -- Include Fine-Grained Error Locations in Tracebacks * [PEP 654](https://www.python.org/dev/peps/pep-0654/) -- Exception Groups and except* * [PEP 680](https://www.python.org/dev/peps/pep-0680/)-- tomllib: Support for Parsing TOML in the Standard Library * [PEP 681](https://www.python.org/dev/peps/pep-0681/)-- Data Class Transforms * [bpo-46752](https://github.com/python/cpython/issues/90908)-- Introduce task groups to asyncio * [bpo-433030](https://github.com/python/cpython/issues/34627/) -- Atomic grouping ((?>...)) and possessive quantifiers (`*+, ++, ?+, {m,n}+`) are now supported in regular expressions. * The [Faster Cpython Project](https://github.com/faster-cpython/) is already yielding some exciting results. Python 3.11 is up to 10-60% faster than Python 3.10. On average, we measured a 1.22x speedup on the standard benchmark suite. See [Faster CPython]( https://docs.python.org/3.11/whatsnew/3.11.html#faster-cpython) for details. ## Typing and typing language changes * [PEP 673](https://www.python.org/dev/peps/pep-0673/) -- Self Type * [PEP 646](https://www.python.org/dev/peps/pep-0646/)-- Variadic Generics * [PEP 675](https://www.python.org/dev/peps/pep-0675/)-- Arbitrary Literal String Type * [PEP 655](https://www.python.org/dev/peps/pep-0655/)-- Marking individual TypedDict items as required or potentially-missing <small>(Hey, **fellow core developer,** if a feature you find important is missing from this list, [let Pablo know](mailto:pablogsal@python.org ).)</small> The next pre-release of Python 3.11 will be 3.11.0rc1, currently scheduled for Monday, 2022-08-01. # More resources * [Online Documentation](https://docs.python.org/3.11/) * [PEP 664](https://www.python.org/dev/peps/pep-0664/), 3.11 Release Schedule * Report bugs at [ https://github.com/python/cpython/issues](https://github.com/python/cpython… . * [Help fund Python and its community](/psf/donations/). # And now for something completely different Schwarzschild wormholes, also known as Einstein–Rosen bridges (named after Albert Einstein and Nathan Rosen), are connections between areas of space that can be modelled as vacuum solutions to the Einstein field equations, and that are now understood to be intrinsic parts of the maximally extended version of the Schwarzschild metric describing an eternal black hole with no charge and no rotation. Here, "maximally extended" refers to the idea that spacetime should not have any "edges": it should be possible to continue this path arbitrarily far into the particle's future or past for any possible trajectory of a free-falling particle (following a geodesic in the spacetime). The Einstein–Rosen bridge was discovered by Ludwig Flamm in 1916, a few months after Schwarzschild published his solution, and was rediscovered by Albert Einstein and his colleague Nathan Rosen, who published their result in 1935. However, in 1962, John Archibald Wheeler and Robert W. Fuller published a paper showing that this type of wormhole is unstable if it connects two parts of the same universe and that it will pinch off too quickly for light (or any particle moving slower than light) that falls in from one exterior region to make it to the other exterior region. Although Schwarzschild wormholes are not traversable in both directions, their existence inspired Kip Thorne to imagine traversable wormholes created by holding the "throat" of a Schwarzschild wormhole open with exotic matter (material that has negative mass/energy). # Release hashes The BSD-style checksum hashes for the release artefacts are: SHA256 (python-3.11.0b5-amd64.exe) = 0cf9d582da862f2fe207fd54b81dfca110e8f04f4b05ab8c3228ce1ea060c7af SHA256 (python-3.11.0b5-arm64.exe) = a71efd9d3835d493d8207a30916ce3417af17295c02a9b0783dc740754f6e40b SHA256 (python-3.11.0b5-embed-amd64.zip) = 5584ddbd21f45ce74ce0512eeb1d817d15374b1b7a461d79f973f6dd48ab5d9e SHA256 (python-3.11.0b5-embed-arm64.zip) = 819924f10eb08ea6322b6040a2fb953137866bb1034cd4e8fe6e93c7c0b37e31 SHA256 (python-3.11.0b5-embed-win32.zip) = 18927604bcbe3c226be7864cde0c1f25ad35c6333d9d3125dfff8ca4fc872255 SHA256 (python-3.11.0b5.exe) = 382eb4c6dc1606bd3cf6f4bdeec8e1e7dab444c5aa23b86142d608a480d7c195 SHA256 (python-3.11.0b5-macos11.pkg) = cd8e6d98e79a4adcd376c486405a535b004cf9a58a71487a11bc424acd815012 SHA256 (Python-3.11.0b5.tar.xz) = 3810bd22f7dc34a99c2a2eb4b85264a4df4f05ef59c4e0ccc2ea82ee9c491698 SHA256 (Python-3.11.0b5.tgz) = 3f7d1a4ab0e64425f4ffd92d49de192ad2ee1c62bc52e3877e9f7b254c702e60 The hashes are also attached to this email. # We hope you enjoy the new releases! Thanks to all of the many volunteers who help make Python Development and these releases possible! Please consider supporting our efforts by volunteering yourself or through organization contributions to the Python Software Foundation. https://www.python.org/psf/ If you have any questions, please reach out to me or another member of the release team :) Your friendly release team, Ned Deily @nad https://discuss.python.org/u/nad Steve Dower @steve.dower https://discuss.python.org/u/steve.dower Pablo Galindo Salgado @pablogsal https://discuss.python.org/u/pablogsal

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New module pil_printer released
by Ruud van der Ham 25 Jul '22

25 Jul '22

I have just released a new module, called pil_printer: With the pil_printer module it is possible to print a PIL image or several PIL images to a printer under Windows. The most common use case is to print JPG or PNG file(s) at an exact point with an exact scaling. Most graphics programs don’t support exact placement and the user has nearly always to manually control this placement/scaling for each image. The package can be downloaded here: github.com/salabim/pil_printerIt is not (yet) available on PyPI.

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ANN: Leo 6.6.3 released
by Edward K. Ream 22 Jul '22

22 Jul '22

Leo http://leoeditor.com 6.6.3 is now available on [GitHub]( https://github.com/leo-editor/leo-editor/releases) and [pypi]( https://pypi.org/project/leo/). Leo, http://leoeditor.com is an [IDE, outliner and PIM]( http://leoeditor.com/preface.html). **The highlights of Leo 6.6.3** - Enhance leoserver.py to support [leoInteg]( https://github.com/boltex/leointeg). - Improve how Leo handles URLs. - Simplify the GlobalConfigManager class. - The usual assortment of tweaks and bug fixes. **Links** - [6.6.3 issues]( https://github.com/leo-editor/leo-editor/issues?q=is%3Aissue+milestone%3A6.… ) - [Documentation](http://leoeditor.com/leo_toc.html) - [Tutorials](http://leoeditor.com/tutorial.html) - [Video tutorials](http://leoeditor.com/screencasts.html) - [Forum](http://groups.google.com/group/leo-editor) - [Download](http://sourceforge.net/projects/leo/files/) - [Leo on GitHub](https://github.com/leo-editor/leo-editor) - [LeoVue](https://github.com/kaleguy/leovue#leo-vue) - [What people are saying about Leo](http://leoeditor.com/testimonials.html) - [A web page that displays .leo files](http://leoeditor.com/load-leo.html) - [More links](http://leoeditor.com/leoLinks.html) Edward ----------------------------------------------------------------- Edward K. Ream: edreamleo(a)gmail.com An old man, crazy about computer programming. Leo Editor: http://leoeditor.com/ -----------------------------------------------------------------

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CodraFT v2.1.1
by Pierre Raybaut 20 Jul '22

20 Jul '22

Hi all, CodraFT is an open-source generic signal and image processing software, based on Python, Qt, NumPy, SciPy and others: https://codra-ingenierie-informatique.github.io/CodraFT/ I am pleased to announce that CodraFT v2.1.1 has been released. This is the second public release of version 2, compatible with Python 3.7+. CodraFT provides signal/image processing and visualisation features, and is available either as a stand-alone application or may be embedded in your own Python-Qt application thanks to advanced automation capabilities. CodraFT also has many I/O features, supporting a lot of images format as well as HDF5 (for saving/loading CodraFT workspace or importing any other data file). Enjoy! -- Always a pleasure to share with Python community, since 2008. Pierre Raybaut

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structlog 22.1.0
by Hynek Schlawack 20 Jul '22

20 Jul '22

I’m happy to announce a new release of structlog! With more than 4 million downloads per month, structlog is the most popular solution for structured logging in Python. It doesn’t just allow you to log key-value pairs in a structured manner, it also makes it EASIER and FASTER. Check out <https://www.structlog.org/en/stable/why.html> if you’re intrigued but not convinced! My heartfelt thanks go to: - My generous GitHub sponsors <https://github.com/sponsors/hynek>, - companies subscribing to structlog on Tidelift <https://tidelift.com/subscription/pkg/pypi-structlog>, - and people who buy me coffees on <https://ko-fi.com/the_hynek>! That's the support that made me maintain structlog for almost a decade with no end in sight! <3 ------------------------------------------------------------------------ (alternatively, see <https://github.com/hynek/structlog/releases/tag/22.1.0> for a richer-formatted version of the following) Highlights This is a (too) big release, so it has many highlights! Firstly, rendering exceptions in machine-readable logs (usually JSON) got a big upgrade: thanks to structlog.processors.dict_tracebacks you can now have fully structured exceptions in your logs! To ease getting started with structlog, we're now shipping structlog.stdlib.recreate_defaults() that recreates structlog's default behavior, but on top of standard library's logging. The output looks the same, but it runs through logging's machinery and integrates itself easier. The default configuration now also merges your contextvars-based context, so enjoy structlog.contextvars.bind_contextvars() without configuring anything! Another request wish that kept coming up is naming the message key differently than event. We're aware that nowadays keys like msg are more common, but structlog pre-dates the software that introduced and popularized it. To allow for more consistency across your platforms, structlog now ships structlog.processors.EventRenamer that allows you to rename the default event key to something else and additionally also allows you to rename another key to event. Full Changelog Removed - Python 3.6 is not supported anymore. - Pickling is now only possible with protocol version 3 and newer. Deprecated - The entire structlog.threadlocal module is deprecated. Please use the primitives from structlog.contextvars instead. If you're using the modern APIs (bind_threadlocal() / merge_threadlocal()) it's enough to replace them 1:1 with their contextvars counterparts. The old approach around wrap_dict() has been discouraged for a while. Currently there are no concrete plans to remove the module, but no patches against it will be accepted from now on. #409 Added - structlog.processors.StackInfoRenderer now has an additional_ignores parameter that allows you to filter out your own logging layer. #396 - Added structlog.WriteLogger, a faster – but more low-level – alternative to structlog.PrintLogger. It works the way PrintLogger used to work in previous versions. #403 #404 - structlog.make_filtering_bound_logger()-returned loggers now also have a log() method to match the structlog.stdlib.BoundLogger signature closer. #413 - Added structured logging of tracebacks via the structlog.tracebacks module, and most notably the structlog.tracebacks.ExceptionDictTransformer which can be used with the new structlog.processors.ExceptionRenderer to render JSON tracebacks. #407 - structlog.stdlib.recreate_defaults(log_level=logging.NOTSET) that recreates structlog's defaults on top of standard library's logging. It optionally also configures logging to log to standard out at the passed log level. #428 - structlog.processors.EventRenamer allows you to rename the hitherto hard-coded event dict key event to something else. Optionally, you can rename another key to event at the same time, too. So adding EventRenamer(to="msg", replace_by="_event") to your processor pipeline will rename the standard event key to msg and then rename the _event key to event. This allows you to use the event key in your own log files and to have consistent log message keys across languages. - structlog.dev.ConsoleRenderer(event_key="event") now allows to customize the name of the key that is used for the log message. Changed - structlog.make_filtering_bound_logger() now returns a method with the same signature for all log levels, whether they are active or not. This ensures that invalid calls to inactive log levels are caught immediately and don't explode once the log level changes. #401 - structlog.PrintLogger – that is used by default – now uses print() for printing, making it a better citizen for interactive terminal applications. #399 - structlog.testing.capture_logs now works for already initialized bound loggers. #408 - structlog.processors.format_exc_info() is no longer a function, but an instance of structlog.processors.ExceptionRenderer. Its behavior has not changed. #407 - The default configuration now includes the structlog.contextvars.merge_contextvars processor. That means you can use structlog.contextvars features without configuring structlog. Fixed - Overloaded the bind, unbind, try_unbind and new methods in the FilteringBoundLogger Protocol. This makes it easier to use objects of type FilteringBoundLogger in a typed context. #392 - Monkeypatched sys.stdouts are now handled more gracefully by ConsoleRenderer (that's used by default). #404 - structlog.stdlib.render_to_log_kwargs() now correctly handles the presence of exc_info, stack_info, and stackLevel in the event dictionary. They are transformed into proper keyword arguments instead of putting them into the extra dictionary. #424, #427

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