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installing v2 tool python v3.10.7
Using prebuild python
Requirement already satisfied: pip in /opt/buildpack/tools/python/3.10.7/lib/python3.10/site-packages (22.2.2)
Files removed: 85
linking tool python v3.10.7
Python 3.10.7
pip 22.2.2 from /opt/buildpack/tools/python/3.10.7/lib/python3.10/site-packages/pip (python 3.10)
Installed v2 /usr/local/buildpack/tools/v2/python.sh in 16 seconds
skip cleanup, not a docker build: e1a01969c994
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Installing collected packages: webencodings, pylev, ptyprocess, msgpack, lockfile, distlib, urllib3, tomlkit, six, shellingham, pyrsistent, pyparsing, pycparser, poetry-core, platformdirs, pkginfo, pexpect, more-itertools, jeepney, idna, filelock, crashtest, charset-normalizer, certifi, cachy, attrs, virtualenv, requests, packaging, jsonschema, jaraco.classes, html5lib, dulwich, cleo, cffi, requests-toolbelt, cryptography, cachecontrol, SecretStorage, keyring, poetry-plugin-export, poetry
Successfully installed SecretStorage-3.3.3 attrs-22.1.0 cachecontrol-0.12.11 cachy-0.3.0 certifi-2022.9.24 cffi-1.15.1 charset-normalizer-2.1.1 cleo-1.0.0a5 crashtest-0.3.1 cryptography-38.0.1 distlib-0.3.6 dulwich-0.20.46 filelock-3.8.0 html5lib-1.1 idna-3.4 jaraco.classes-3.2.3 jeepney-0.8.0 jsonschema-4.16.0 keyring-23.9.3 lockfile-0.12.2 more-itertools-8.14.0 msgpack-1.0.4 packaging-21.3 pexpect-4.8.0 pkginfo-1.8.3 platformdirs-2.5.2 poetry-1.2.1 poetry-core-1.2.0 poetry-plugin-export-1.1.1 ptyprocess-0.7.0 pycparser-2.21 pylev-1.4.0 pyparsing-3.0.9 pyrsistent-0.18.1 requests-2.28.1 requests-toolbelt-0.9.1 shellingham-1.5.0 six-1.16.0 tomlkit-0.11.5 urllib3-1.26.12 virtualenv-20.16.5 webencodings-0.5.1
Updating dependencies
Resolving dependencies...
The current project's Python requirement (>=3.7.1,<3.11) is not compatible with some of the required packages Python requirement:
- scipy requires Python >=3.8,<3.12, so it will not be satisfied for Python >=3.7.1,<3.8
- scipy requires Python >=3.8,<3.12, so it will not be satisfied for Python >=3.7.1,<3.8
Because no versions of scipy match >1.9.0,<1.9.1 || >1.9.1,<1.10.0
and scipy (1.9.0) requires Python >=3.8,<3.12, scipy is forbidden.
So, because scipy (1.9.1) requires Python >=3.8,<3.12
and skqulacs depends on scipy (~1.9.0), version solving failed.
• Check your dependencies Python requirement: The Python requirement can be specified via the `python` or `markers` properties
For scipy, a possible solution would be to set the `python` property to ">=3.8,<3.11"
For scipy, a possible solution would be to set the `python` property to ">=3.8,<3.11"
https://python-poetry.org/docs/dependency-specification/#python-restricted-dependencies,
https://python-poetry.org/docs/dependency-specification/#using-environment-markers
As this PR has been closed unmerged, Renovate will now ignore this update (~1.9.0). You will still receive a PR once a newer version is released, so if you wish to permanently ignore this dependency, please add it to the ignoreDeps
array of your renovate config.
If this PR was closed by mistake or you changed your mind, you can simply rename this PR and you will soon get a fresh replacement PR opened.
This PR contains the following updates:
~1.7.0
->~1.9.0
Release Notes
scipy/scipy
### [`v1.9.1`](https://togithub.com/scipy/scipy/releases/tag/v1.9.1) [Compare Source](https://togithub.com/scipy/scipy/compare/v1.9.0...v1.9.1) # SciPy 1.9.1 Release Notes SciPy `1.9.1` is a bug-fix release with no new features compared to `1.9.0`. Notably, some important meson build fixes are included. # Authors - Anirudh Dagar (1) - Ralf Gommers (12) - Matt Haberland (2) - Andrew Nelson (1) - Tyler Reddy (14) - Atsushi Sakai (1) - Eli Schwartz (1) - Warren Weckesser (2) A total of 8 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. ### [`v1.9.0`](https://togithub.com/scipy/scipy/releases/tag/v1.9.0) [Compare Source](https://togithub.com/scipy/scipy/compare/v1.8.1...v1.9.0) # 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`\_, which have computational advantages over the classical Legendre integrals. Previous versions included some elliptic integrals from the Cephes library (`scipy.special.ellip{k,km1,kinc,e,einc}`) but was missing the integral of third kind (Legendre's Pi), which can be evaluated using the new Carlson functions. The new Carlson elliptic integral functions can be evaluated in the complex plane, whereas the Cephes library's functions are only defined for real inputs. Several defects in `scipy.special.hyp2f1` have been corrected. Approximately correct values are now returned for `z` near `exp(+-i*pi/3)`, fixing `#8054`*. Evaluation for such `z`
is now calculated through a series derived by
`López and Temme (2013) `* that converges in
these regions. In addition, degenerate cases with one or more of `a`, `b`,
and/or `c` a non-positive integer are now handled in a manner consistent with
`mpmath's hyp2f1 implementation `*,
which fixes `#7340 `*. These fixes
were made as part of an effort to rewrite the Fortran 77 implementation of
hyp2f1 in Cython piece by piece. This rewriting is now roughly 50% complete.
# `scipy.stats` improvements
`scipy.stats.qmc.LatinHypercube` introduces two new optional keyword-only
arguments, `optimization` and `strength`. `optimization` is either
`None` or `random-cd`. In the latter, random permutations are performed to
improve the centered discrepancy. `strength` is either 1 or 2. 1 corresponds
to the classical LHS while 2 has better sub-projection properties. This
construction is referred to as an orthogonal array based LHS of strength 2.
In both cases, the output is still a LHS.
`scipy.stats.qmc.Halton` is faster as the underlying Van der Corput sequence
was ported to Cython.
The `alternative` parameter was added to the `kendalltau` and `somersd`
functions to allow one-sided hypothesis testing. Similarly, the masked
versions of `skewtest`, `kurtosistest`, `ttest_1samp`, `ttest_ind`,
and `ttest_rel` now also have an `alternative` parameter.
Add `scipy.stats.gzscore` to calculate the geometrical z score.
Random variate generators to sample from arbitrary univariate non-uniform
continuous and discrete distributions have been added to the new
`scipy.stats.sampling` submodule. Implementations of a C library
`UNU.RAN `\_ are used for
performance. The generators added are:
- TransformedDensityRejection
- DiscreteAliasUrn
- NumericalInversePolynomial
- DiscreteGuideTable
- SimpleRatioUniforms
The `binned_statistic` set of functions now have improved performance for
the `std`, `min`, `max`, and `median` statistic calculations.
`somersd` and `_tau_b` now have faster Pythran-based implementations.
Some general efficiency improvements to handling of `nan` values in
several `stats` functions.
Added the Tukey-Kramer test as `scipy.stats.tukey_hsd`.
Improved performance of `scipy.stats.argus` `rvs` method.
Added the parameter `keepdims` to `scipy.stats.variation` and prevent the
undesirable return of a masked array from the function in some cases.
`permutation_test` performs an exact or randomized permutation test of a
given statistic on provided data.
# Deprecated features
# Clear split between public and private API
SciPy has always documented what its public API consisted of in
:ref:`its API reference docs `,
however there never was a clear split between public and
private namespaces in the code base. In this release, all namespaces that were
private but happened to miss underscores in their names have been deprecated.
These include (as examples, there are many more):
- `scipy.signal.spline`
- `scipy.ndimage.filters`
- `scipy.ndimage.fourier`
- `scipy.ndimage.measurements`
- `scipy.ndimage.morphology`
- `scipy.ndimage.interpolation`
- `scipy.sparse.linalg.solve`
- `scipy.sparse.linalg.eigen`
- `scipy.sparse.linalg.isolve`
All functions and other objects in these namespaces that were meant to be
public are accessible from their respective public namespace (e.g.
`scipy.signal`). The design principle is that any public object must be
accessible from a single namespace only; there are a few exceptions, mostly for
historical reasons (e.g., `stats` and `stats.distributions` overlap).
For other libraries aiming to provide a SciPy-compatible API, it is now
unambiguous what namespace structure to follow. See
`gh-14360 `\_ for more details.
# Other deprecations
`NumericalInverseHermite` has been deprecated from `scipy.stats` and moved
to the `scipy.stats.sampling` submodule. It now uses the C implementation of
the UNU.RAN library so the result of methods like `ppf` may vary slightly.
Parameter `tol` has been deprecated and renamed to `u_resolution`. The
parameter `max_intervals` has also been deprecated and will be removed in a
future release of SciPy.
# Backwards incompatible changes
- SciPy has raised the minimum compiler versions to GCC 6.3 on linux and
VS2019 on windows. In particular, this means that SciPy may now use C99 and
C++14 features. For more details see
`here `\_.
- The result for empty bins for `scipy.stats.binned_statistic` with the builtin
`'std'` metric is now `nan`, for consistency with `np.std`.
- The function `scipy.spatial.distance.wminkowski` has been removed. To achieve
the same results as before, please use the `minkowski` distance function
with the (optional) `w=` keyword-argument for the given weight.
# Other changes
Some Fortran 77 code was modernized to be compatible with NAG's nagfor Fortran
compiler (see, e.g., `PR 13229 `\_).
`threadpoolctl` may now be used by our test suite to substantially improve
the efficiency of parallel test suite runs.
# Authors
- [@endolith](https://togithub.com/endolith)
- adamadanandy +
- akeemlh +
- Anton Akhmerov
- Marvin Albert +
- alegresor +
- Andrew Annex +
- Pantelis Antonoudiou +
- Ross Barnowski +
- Christoph Baumgarten
- Stephen Becker +
- Nickolai Belakovski
- Peter Bell
- berberto +
- Georgii Bocharov +
- Evgeni Burovski
- Matthias Bussonnier
- CJ Carey
- Justin Charlong +
- Hood Chatham +
- Dennis Collaris +
- David Cottrell +
- cruyffturn +
- da-woods +
- Anirudh Dagar
- Tiger Du +
- Thomas Duvernay
- Dani El-Ayyass +
- Castedo Ellerman +
- Donnie Erb +
- Andreas Esders-Kopecky +
- Livio F +
- Isuru Fernando
- Evelyn Fitzgerald +
- Sara Fridovich-Keil +
- Mark E Fuller +
- Ralf Gommers
- Kevin Richard Green +
- guiweber +
- Nitish Gupta +
- h-vetinari
- Matt Haberland
- J. Hariharan +
- Charles Harris
- Jonathan Helgert +
- Trever Hines
- Nadav Horesh
- Ian Hunt-Isaak +
- ich +
- Itrimel +
- Jan-Hendrik Müller +
- Jebby993 +
- Yikun Jiang +
- Evan W Jones +
- Nathaniel Jones +
- Jeffrey Kelling +
- Malik Idrees Hasan Khan +
- Paul Kienzle
- Sergey B Kirpichev
- Kadatatlu Kishore +
- Andrew Knyazev
- Ravin Kumar +
- Peter Mahler Larsen
- Eric Larson
- Antony Lee
- Gregory R. Lee
- Tim Leslie
- lezcano +
- Xingyu Liu
- Christian Lorentzen
- Lorenzo +
- Smit Lunagariya +
- Lv101Magikarp +
- Yair M +
- Cong Ma
- Lorenzo Maffioli +
- majiang +
- Brian McFee +
- Nicholas McKibben
- John Speed Meyers +
- millivolt9 +
- Jarrod Millman
- Harsh Mishra +
- Boaz Mohar +
- naelsondouglas +
- Andrew Nelson
- Nico Schlömer
- Thomas Nowotny +
- nullptr +
- Teddy Ort +
- Nick Papior
- ParticularMiner +
- Dima Pasechnik
- Tirth Patel
- Matti Picus
- Ilhan Polat
- Adrian Price-Whelan +
- Quentin Barthélemy +
- Sundar R +
- Judah Rand +
- Tyler Reddy
- Renal-Of-Loon +
- Frederic Renner +
- Pamphile Roy
- Bharath Saiguhan +
- Atsushi Sakai
- Eric Schanet +
- Sebastian Wallkötter
- serge-sans-paille
- Reshama Shaikh +
- Namami Shanker
- siddhantwahal +
- Walter Simson +
- Gagandeep Singh +
- Leo C. Stein +
- Albert Steppi
- Kai Striega
- Diana Sukhoverkhova
- Søren Fuglede Jørgensen
- Masayuki Takagi +
- Mike Taves
- Ben Thompson +
- Bas van Beek
- Jacob Vanderplas
- Dhruv Vats +
- H. Vetinari +
- Thomas Viehmann +
- Pauli Virtanen
- Vlad +
- Arthur Volant
- Samuel Wallan
- Stefan van der Walt
- Warren Weckesser
- Josh Wilson
- Haoyin Xu +
- Rory Yorke
- Egor Zemlyanoy
- Gang Zhao +
- 赵丰 (Zhao Feng) +
A total of 139 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.
Configuration
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