Mailman 3 December 2018 - SciPy-Dev

Preparing project proposal for GSoC 2019
by Sourav Singh Dec. 7, 2018

Dec. 7, 2018

Hello, I am writing the mail regarding project proposal for GSoC 2019. I am interested in working with SciPy for the upcoming Google Summer of Code and I am interested in either working on enhancing the randomized numerical linear algebra functionality or fixing the scipy.fftpack module. I understand that it is quite early to talk, since the organization proposals haven't started yet, but I would like to know if a project proposal can be started right now so that the proposals can be better fleshed out by the time the application period starts? Regards, Sourav

3 9

Cubic interpolation with SciPy 1.2.0rc1
by Ryan May Dec. 7, 2018

Dec. 7, 2018

Hi, I just noticed our test suite is failing with SciPy 1.2.0rc1 on any test involving cubic interpolation through griddata. The differences aren't huge, at most 2.5%. I'm working on reducing one of the tests to a simple example. In the mean time, is there any reason to expect changes to the results from cubic interpolation? I didn't see anything in the release notes, and a quick search on GitHub didn't bring any obvious issues/PRs. Ryan -- Ryan May

3 3

Dropping Python 3.4
by Charles R Harris Dec. 5, 2018

Dec. 5, 2018

Hi All, Currently, NumPy has dropped Python 3.4 support for the 1.16 release while the upcoming SciPy 1.2 version is still supporting it. It looks like current NumPy master still works for Python 3.4, but I wasn't planning to build any wheels for it. Will that be a problem? Chuck

3 2

ANN: SciPy 1.2.0rc2 -- please test
by Tyler Reddy Dec. 5, 2018

Dec. 5, 2018

-----BEGIN PGP SIGNED MESSAGE----- Hash: SHA256 Hi all, On behalf of the SciPy development team I'm pleased to announce the release candidate SciPy 1.2.0rc2. Please help us test out this release candidate -- the 1.2.x series will be an LTS release and the last to support Python 2.7. Sources and binary wheels can be found at: https://pypi.org/project/scipy/ and at: https://github.com/scipy/scipy/releases/tag/v1.2.0rc2 One of a few ways to install the release candidate with pip: pip install scipy==1.2.0rc2 ========================== SciPy 1.2.0 Release Notes ========================== Note: Scipy 1.2.0 is not released yet! SciPy 1.2.0 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 1.2.x branch, and on adding new features on the master branch. This release requires Python 2.7 or 3.4+ and NumPy 1.8.2 or greater. Note: This will be the last SciPy release to support Python 2.7. Consequently, the 1.2.x series will be a long term support (LTS) release; we will backport bug fixes until 1 Jan 2020. For running on PyPy, PyPy3 6.0+ and NumPy 1.15.0 are required. Highlights of this release --------------------------- - 1-D root finding improvements with a new solver, ``toms748``, and a new unified interface, ``root_scalar`` - New ``dual_annealing`` optimization method that combines stochastic and local deterministic searching - A new optimization algorithm, ``shgo`` (simplicial homology global optimization) for derivative free optimization problems - A new category of quaternion-based transformations are available in `scipy.spatial.transform` New features ============ `scipy.ndimage` improvements --------------------------------- Proper spline coefficient calculations have been added for the ``mirror``, ``wrap``, and ``reflect`` modes of `scipy.ndimage.rotate` `scipy.fftpack` improvements --------------------------------- DCT-IV, DST-IV, DCT-I, and DST-I orthonormalization are now supported in `scipy.fftpack`. `scipy.interpolate` improvements --------------------------------- `scipy.interpolate.pade` now accepts a new argument for the order of the numerator `scipy.cluster` improvements ----------------------------- `scipy.cluster.vq.kmeans2` gained a new initialization method, kmeans++. `scipy.special` improvements ----------------------------- The function ``softmax`` was added to `scipy.special`. `scipy.optimize` improvements ------------------------------ The one-dimensional nonlinear solvers have been given a unified interface `scipy.optimize.root_scalar`, similar to the `scipy.optimize.root` interface for multi-dimensional solvers. ``scipy.optimize.root_scalar(f, bracket=[a ,b], method="brenth")`` is equivalent to ``scipy.optimize.brenth(f, a ,b)``. If no ``method`` is specified, an appropriate one will be selected based upon the bracket and the number of derivatives available. The so-called Algorithm 748 of Alefeld, Potra and Shi for root-finding within an enclosing interval has been added as `scipy.optimize.toms748`. This provides guaranteed convergence to a root with convergence rate per function evaluation of approximately 1.65 (for sufficiently well-behaved functions.) ``differential_evolution`` now has the ``updating`` and ``workers`` keywords. The first chooses between continuous updating of the best solution vector (the default), or once per generation. Continuous updating can lead to faster convergence. The ``workers`` keyword accepts an ``int`` or map-like callable, and parallelises the solver (having the side effect of updating once per generation). Supplying an ``int`` evaluates the trial solutions in N parallel parts. Supplying a map-like callable allows other parallelisation approaches (such as ``mpi4py``, or ``joblib``) to be used. ``dual_annealing`` (and ``shgo`` below) is a powerful new general purpose global optizimation (GO) algorithm. ``dual_annealing`` uses two annealing processes to accelerate the convergence towards the global minimum of an objective mathematical function. The first annealing process controls the stochastic Markov chain searching and the second annealing process controls the deterministic minimization. So, dual annealing is a hybrid method that takes advantage of stochastic and local deterministic searching in an efficient way. ``shgo`` (simplicial homology global optimization) is a similar algorithm appropriate for solving black box and derivative free optimization (DFO) problems. The algorithm generally converges to the global solution in finite time. The convergence holds for non-linear inequality and equality constraints. In addition to returning a global minimum, the algorithm also returns any other global and local minima found after every iteration. This makes it useful for exploring the solutions in a domain. `scipy.optimize.newton` can now accept a scalar or an array ``MINPACK`` usage is now thread-safe, such that ``MINPACK`` + callbacks may be used on multiple threads. `scipy.signal` improvements ---------------------------- Digital filter design functions now include a parameter to specify the sampling rate. Previously, digital filters could only be specified using normalized frequency, but different functions used different scales (e.g. 0 to 1 for ``butter`` vs 0 to π for ``freqz``), leading to errors and confusion. With the ``fs`` parameter, ordinary frequencies can now be entered directly into functions, with the normalization handled internally. ``find_peaks`` and related functions no longer raise an exception if the properties of a peak have unexpected values (e.g. a prominence of 0). A ``PeakPropertyWarning`` is given instead. The new keyword argument ``plateau_size`` was added to ``find_peaks``. ``plateau_size`` may be used to select peaks based on the length of the flat top of a peak. ``welch()`` and ``csd()`` methods in `scipy.signal` now support calculation of a median average PSD, using ``average='mean'`` keyword `scipy.sparse` improvements ---------------------------- The `scipy.sparse.bsr_matrix.tocsr` method is now implemented directly instead of converting via COO format, and the `scipy.sparse.bsr_matrix.tocsc` method is now also routed via CSR conversion instead of COO. The efficiency of both conversions is now improved. The issue where SuperLU or UMFPACK solvers crashed on matrices with non-canonical format in `scipy.sparse.linalg` was fixed. The solver wrapper canonicalizes the matrix if necessary before calling the SuperLU or UMFPACK solver. The ``largest`` option of `scipy.sparse.linalg.lobpcg()` was fixed to have a correct (and expected) behavior. The order of the eigenvalues was made consistent with the ARPACK solver (``eigs()``), i.e. ascending for the smallest eigenvalues, and descending for the largest eigenvalues. The `scipy.sparse.random` function is now faster and also supports integer and complex values by passing the appropriate value to the ``dtype`` argument. `scipy.spatial` improvements ----------------------------- The function `scipy.spatial.distance.jaccard` was modified to return 0 instead of ``np.nan`` when two all-zero vectors are compared. Support for the Jensen Shannon distance, the square-root of the divergence, has been added under `scipy.spatial.distance.jensenshannon` An optional keyword was added to the function `scipy.spatial.cKDTree.query_ball_point()` to sort or not sort the returned indices. Not sorting the indices can speed up calls. A new category of quaternion-based transformations are available in `scipy.spatial.transform`, including spherical linear interpolation of rotations (``Slerp``), conversions to and from quaternions, Euler angles, and general rotation and inversion capabilities (`spatial.transform.Rotation`), and uniform random sampling of 3D rotations (`spatial.transform.Rotation.random`). `scipy.stats` improvements --------------------------- The Yeo-Johnson power transformation is now supported (``yeojohnson``, ``yeojohnson_llf``, ``yeojohnson_normmax``, ``yeojohnson_normplot``). Unlike the Box-Cox transformation, the Yeo-Johnson transformation can accept negative values. Added a general method to sample random variates based on the density only, in the new function ``rvs_ratio_uniforms``. The Yule-Simon distribution (``yulesimon``) was added -- this is a new discrete probability distribution. ``stats`` and ``mstats`` now have access to a new regression method, ``siegelslopes``, a robust linear regression algorithm `scipy.stats.gaussian_kde` now has the ability to deal with weighted samples, and should have a modest improvement in performance Levy Stable Parameter Estimation, PDF, and CDF calculations are now supported for `scipy.stats.levy_stable`. The Brunner-Munzel test is now available as ``brunnermunzel`` in ``stats`` and ``mstats`` `scipy.linalg` improvements --------------------------- `scipy.linalg.lapack` now exposes the LAPACK routines using the Rectangular Full Packed storage (RFP) for upper triangular, lower triangular, symmetric, or Hermitian matrices; the upper trapezoidal fat matrix RZ decomposition routines are now available as well. Deprecated features =================== The functions ``hyp2f0``, ``hyp1f2`` and ``hyp3f0`` in ``scipy.special`` have been deprecated. Backwards incompatible changes ============================== LAPACK version 3.4.0 or later is now required. Building with Apple Accelerate is no longer supported. The function ``scipy.linalg.subspace_angles(A, B)`` now gives correct results for all angles. Before this, the function only returned correct values for those angles which were greater than pi/4. Support for the Bento build system has been removed. Bento has not been maintained for several years, and did not have good Python 3 or wheel support, hence it was time to remove it. The required signature of `scipy.optimize.lingprog` ``method=simplex`` callback function has changed. Before iteration begins, the simplex solver first converts the problem into a standard form that does not, in general, have the same variables or constraints as the problem defined by the user. Previously, the simplex solver would pass a user-specified callback function several separate arguments, such as the current solution vector ``xk``, corresponding to this standard form problem. Unfortunately, the relationship between the standard form problem and the user-defined problem was not documented, limiting the utility of the information passed to the callback function. In addition to numerous bug fix changes, the simplex solver now passes a user-specified callback function a single ``OptimizeResult`` object containing information that corresponds directly to the user-defined problem. In future releases, this ``OptimizeResult`` object may be expanded to include additional information, such as variables corresponding to the standard-form problem and information concerning the relationship between the standard-form and user-defined problems. The implementation of `scipy.sparse.random` has changed, and this affects the numerical values returned for both ``sparse.random`` and ``sparse.rand`` for some matrix shapes and a given seed. `scipy.optimize.newton` will no longer use Halley's method in cases where it negatively impacts convergence Other changes ============= Authors ======= * @endolith * @luzpaz * Hameer Abbasi + * akahard2dj + * Anton Akhmerov * Joseph Albert * alexthomas93 + * ashish + * atpage + * Blair Azzopardi + * Yoshiki Vázquez Baeza * Bence Bagi + * Christoph Baumgarten * Lucas Bellomo + * BH4 + * Aditya Bharti * Max Bolingbroke * François Boulogne * Ward Bradt + * Matthew Brett * Evgeni Burovski * Rafał Byczek + * Alfredo Canziani + * CJ Carey * Lucía Cheung + * Poom Chiarawongse + * Jeanne Choo + * Robert Cimrman * Graham Clenaghan + * cynthia-rempel + * Johannes Damp + * Jaime Fernandez del Rio * Dowon + * emmi474 + * Stefan Endres + * Thomas Etherington + * Piotr Figiel * Alex Fikl + * fo40225 + * Joseph Fox-Rabinovitz * Lars G * Abhinav Gautam + * Stiaan Gerber + * C.A.M. Gerlach + * Ralf Gommers * Todd Goodall * Lars Grueter + * Sylvain Gubian + * Matt Haberland * David Hagen * Will Handley + * Charles Harris * Ian Henriksen * Thomas Hisch + * Theodore Hu * Michael Hudson-Doyle + * Nicolas Hug + * jakirkham + * Jakob Jakobson + * James + * Jan Schlüter * jeanpauphilet + * josephmernst + * Kai + * Kai-Striega + * kalash04 + * Toshiki Kataoka + * Konrad0 + * Tom Krauss + * Johannes Kulick * Lars Grüter + * Eric Larson * Denis Laxalde * Will Lee + * Katrin Leinweber + * Yin Li + * P. L. Lim + * Jesse Livezey + * Duncan Macleod + * MatthewFlamm + * Nikolay Mayorov * Mike McClurg + * Christian Meyer + * Mark Mikofski * Naoto Mizuno + * mohmmadd + * Nathan Musoke * Anju Geetha Nair + * Andrew Nelson * Ayappan P + * Nick Papior * Haesun Park + * Ronny Pfannschmidt + * pijyoi + * Ilhan Polat * Anthony Polloreno + * Ted Pudlik * puenka * Eric Quintero * Pradeep Reddy Raamana + * Vyas Ramasubramani + * Ramon Viñas + * Tyler Reddy * Joscha Reimer * Antonio H Ribeiro * richardjgowers + * Rob + * robbystk + * Lucas Roberts + * rohan + * Joaquin Derrac Rus + * Josua Sassen + * Bruce Sharpe + * Max Shinn + * Scott Sievert * Sourav Singh * Strahinja Lukić + * Kai Striega + * Shinya SUZUKI + * Mike Toews + * Piotr Uchwat * Miguel de Val-Borro + * Nicky van Foreest * Paul van Mulbregt * Gael Varoquaux * Pauli Virtanen * Stefan van der Walt * Warren Weckesser * Joshua Wharton + * Bernhard M. Wiedemann + * Eric Wieser * Josh Wilson * Tony Xiang + * Roman Yurchak + * Roy Zywina + A total of 137 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 1.2.0 ------------------------ * `#9520 <https://github.com/scipy/scipy/issues/9520>`__: signal.correlate with method='fft' doesn't benefit from long... * `#9547 <https://github.com/scipy/scipy/issues/9547>`__: signature of dual_annealing doesn't match other optimizers * `#9540 <https://github.com/scipy/scipy/issues/9540>`__: SciPy v1.2.0rc1 cannot be imported on Python 2.7.15 * `#1240 <https://github.com/scipy/scipy/issues/1240>`__: Allowing multithreaded use of minpack through scipy.optimize... * `#1432 <https://github.com/scipy/scipy/issues/1432>`__: scipy.stats.mode extremely slow (Trac #905) * `#3372 <https://github.com/scipy/scipy/issues/3372>`__: Please add Sphinx search field to online scipy html docs * `#3678 <https://github.com/scipy/scipy/issues/3678>`__: _clough_tocher_2d_single direction between centroids * `#4174 <https://github.com/scipy/scipy/issues/4174>`__: lobpcg "largest" option invalid? * `#5493 <https://github.com/scipy/scipy/issues/5493>`__: anderson_ksamp p-values>1 * `#5743 <https://github.com/scipy/scipy/issues/5743>`__: slsqp fails to detect infeasible problem * `#6139 <https://github.com/scipy/scipy/issues/6139>`__: scipy.optimize.linprog failed to find a feasible starting point... * `#6358 <https://github.com/scipy/scipy/issues/6358>`__: stats: docstring for `vonmises_line` points to `vonmises_line`... * `#6498 <https://github.com/scipy/scipy/issues/6498>`__: runtests.py is missing in pypi distfile * `#7426 <https://github.com/scipy/scipy/issues/7426>`__: scipy.stats.ksone(n).pdf(x) returns nan for positive values of... * `#7455 <https://github.com/scipy/scipy/issues/7455>`__: scipy.stats.ksone.pdf(2,x) return incorrect values for x near... * `#7456 <https://github.com/scipy/scipy/issues/7456>`__: scipy.special.smirnov and scipy.special.smirnovi have accuracy... * `#7492 <https://github.com/scipy/scipy/issues/7492>`__: scipy.special.kolmogorov(x)/kolmogi(p) inefficient, inaccurate... * `#7914 <https://github.com/scipy/scipy/issues/7914>`__: TravisCI not failing when it should for -OO run * `#8064 <https://github.com/scipy/scipy/issues/8064>`__: linalg.solve test crashes on Windows * `#8212 <https://github.com/scipy/scipy/issues/8212>`__: LAPACK Rectangular Full Packed routines * `#8256 <https://github.com/scipy/scipy/issues/8256>`__: differential_evolution bug converges to wrong results in complex... * `#8443 <https://github.com/scipy/scipy/issues/8443>`__: Deprecate `hyp2f0`, `hyp1f2`, and `hyp3f0`? * `#8452 <https://github.com/scipy/scipy/issues/8452>`__: DOC: ARPACK tutorial has two conflicting equations * `#8680 <https://github.com/scipy/scipy/issues/8680>`__: scipy fails compilation when building from source * `#8686 <https://github.com/scipy/scipy/issues/8686>`__: Division by zero in _trustregion.py when x0 is exactly equal... * `#8700 <https://github.com/scipy/scipy/issues/8700>`__: _MINPACK_LOCK not held when calling into minpack from least_squares * `#8786 <https://github.com/scipy/scipy/issues/8786>`__: erroneous moment values for t-distribution * `#8791 <https://github.com/scipy/scipy/issues/8791>`__: Checking COLA condition in istft should be optional (or omitted) * `#8843 <https://github.com/scipy/scipy/issues/8843>`__: imresize cannot be deprecated just yet * `#8844 <https://github.com/scipy/scipy/issues/8844>`__: Inverse Wishart Log PDF Incorrect for Non-diagonal Scale Matrix? * `#8878 <https://github.com/scipy/scipy/issues/8878>`__: vonmises and vonmises_line in stats: vonmises wrong and superfluous? * `#8895 <https://github.com/scipy/scipy/issues/8895>`__: v1.1.0 `ndi.rotate` documentation – reused parameters not filled... * `#8900 <https://github.com/scipy/scipy/issues/8900>`__: Missing complex conjugation in scipy.sparse.linalg.LinearOperator * `#8904 <https://github.com/scipy/scipy/issues/8904>`__: BUG: if zero derivative at root, then Newton fails with RuntimeWarning * `#8911 <https://github.com/scipy/scipy/issues/8911>`__: make_interp_spline bc_type incorrect input interpretation * `#8942 <https://github.com/scipy/scipy/issues/8942>`__: MAINT: Refactor `_linprog.py` and `_linprog_ip.py` to remove... * `#8947 <https://github.com/scipy/scipy/issues/8947>`__: np.int64 in scipy.fftpack.next_fast_len * `#9020 <https://github.com/scipy/scipy/issues/9020>`__: BUG: linalg.subspace_angles gives wrong results * `#9033 <https://github.com/scipy/scipy/issues/9033>`__: scipy.stats.normaltest sometimes gives incorrect returns b/c... * `#9036 <https://github.com/scipy/scipy/issues/9036>`__: Bizarre times for `scipy.sparse.rand` function with 'low' density... * `#9044 <https://github.com/scipy/scipy/issues/9044>`__: optimize.minimize(method=`trust-constr`) result dict does not... * `#9071 <https://github.com/scipy/scipy/issues/9071>`__: doc/linalg: add cho_solve_banded to see also of cholesky_banded * `#9082 <https://github.com/scipy/scipy/issues/9082>`__: eigenvalue sorting in scipy.sparse.linalg.eigsh * `#9086 <https://github.com/scipy/scipy/issues/9086>`__: signaltools.py:491: FutureWarning: Using a non-tuple sequence... * `#9091 <https://github.com/scipy/scipy/issues/9091>`__: test_spline_filter failure on 32-bit * `#9122 <https://github.com/scipy/scipy/issues/9122>`__: Typo on scipy minimization tutorial * `#9135 <https://github.com/scipy/scipy/issues/9135>`__: doc error at https://docs.scipy.org/doc/scipy/reference/tutorial/stats/discrete_poisson.… * `#9167 <https://github.com/scipy/scipy/issues/9167>`__: DOC: BUG: typo in ndimage LowLevelCallable tutorial example * `#9169 <https://github.com/scipy/scipy/issues/9169>`__: truncnorm does not work if b < a in scipy.stats * `#9250 <https://github.com/scipy/scipy/issues/9250>`__: scipy.special.tests.test_mpmath::TestSystematic::test_pcfw fails... * `#9259 <https://github.com/scipy/scipy/issues/9259>`__: rv.expect() == rv.mean() is false for rv.mean() == nan (and inf) * `#9286 <https://github.com/scipy/scipy/issues/9286>`__: DOC: Rosenbrock expression in optimize.minimize tutorial * `#9316 <https://github.com/scipy/scipy/issues/9316>`__: SLSQP fails in nested optimization * `#9337 <https://github.com/scipy/scipy/issues/9337>`__: scipy.signal.find_peaks key typo in documentation * `#9345 <https://github.com/scipy/scipy/issues/9345>`__: Example from documentation of scipy.sparse.linalg.eigs raises... * `#9383 <https://github.com/scipy/scipy/issues/9383>`__: Default value for "mode" in "ndimage.shift" * `#9419 <https://github.com/scipy/scipy/issues/9419>`__: dual_annealing off by one in the number of iterations * `#9442 <https://github.com/scipy/scipy/issues/9442>`__: Error in Defintion of Rosenbrock Function * `#9453 <https://github.com/scipy/scipy/issues/9453>`__: TST: test_eigs_consistency() doesn't have consistent results Pull requests for 1.2.0 ------------------------ * `#9526 <https://github.com/scipy/scipy/pull/9526>`__: TST: relax precision requirements in signal.correlate tests * `#9507 <https://github.com/scipy/scipy/pull/9507>`__: CI: MAINT: Skip a ckdtree test on pypy * `#9512 <https://github.com/scipy/scipy/pull/9512>`__: TST: test_random_sampling 32-bit handling * `#9494 <https://github.com/scipy/scipy/pull/9494>`__: TST: test_kolmogorov xfail 32-bit * `#9486 <https://github.com/scipy/scipy/pull/9486>`__: BUG: fix sparse random int handling * `#9550 <https://github.com/scipy/scipy/pull/9550>`__: BUG: scipy/_lib/_numpy_compat: get_randint * `#9549 <https://github.com/scipy/scipy/pull/9549>`__: MAINT: make dual_annealing signature match other optimizers * `#9541 <https://github.com/scipy/scipy/pull/9541>`__: BUG: fix SyntaxError due to non-ascii character on Python 2.7 * `#7352 <https://github.com/scipy/scipy/pull/7352>`__: ENH: add Brunner Munzel test to scipy.stats. * `#7373 <https://github.com/scipy/scipy/pull/7373>`__: BUG: Jaccard distance for all-zero arrays would return np.nan * `#7374 <https://github.com/scipy/scipy/pull/7374>`__: ENH: Add PDF, CDF and parameter estimation for Stable Distributions * `#8098 <https://github.com/scipy/scipy/pull/8098>`__: ENH: Add shgo for global optimization of NLPs. * `#8203 <https://github.com/scipy/scipy/pull/8203>`__: ENH: adding simulated dual annealing to optimize * `#8259 <https://github.com/scipy/scipy/pull/8259>`__: Option to follow original Storn and Price algorithm and its parallelisation * `#8293 <https://github.com/scipy/scipy/pull/8293>`__: ENH add ratio-of-uniforms method for rv generation to scipy.stats * `#8294 <https://github.com/scipy/scipy/pull/8294>`__: BUG: Fix slowness in stats.mode * `#8295 <https://github.com/scipy/scipy/pull/8295>`__: ENH: add Jensen Shannon distance to `scipy.spatial.distance` * `#8357 <https://github.com/scipy/scipy/pull/8357>`__: ENH: vectorize scalar zero-search-functions * `#8397 <https://github.com/scipy/scipy/pull/8397>`__: Add `fs=` parameter to filter design functions * `#8537 <https://github.com/scipy/scipy/pull/8537>`__: ENH: Implement mode parameter for spline filtering. * `#8558 <https://github.com/scipy/scipy/pull/8558>`__: ENH: small speedup for stats.gaussian_kde * `#8560 <https://github.com/scipy/scipy/pull/8560>`__: BUG: fix p-value calc of anderson_ksamp in scipy.stats * `#8614 <https://github.com/scipy/scipy/pull/8614>`__: ENH: correct p-values for stats.kendalltau and stats.mstats.kendalltau * `#8670 <https://github.com/scipy/scipy/pull/8670>`__: ENH: Require Lapack 3.4.0 * `#8683 <https://github.com/scipy/scipy/pull/8683>`__: Correcting kmeans documentation * `#8725 <https://github.com/scipy/scipy/pull/8725>`__: MAINT: Cleanup scipy.optimize.leastsq * `#8726 <https://github.com/scipy/scipy/pull/8726>`__: BUG: Fix _get_output in scipy.ndimage to support string * `#8733 <https://github.com/scipy/scipy/pull/8733>`__: MAINT: stats: A bit of clean up. * `#8737 <https://github.com/scipy/scipy/pull/8737>`__: BUG: Improve numerical precision/convergence failures of smirnov/kolmogorov * `#8738 <https://github.com/scipy/scipy/pull/8738>`__: MAINT: stats: A bit of clean up in test_distributions.py. * `#8740 <https://github.com/scipy/scipy/pull/8740>`__: BF/ENH: make minpack thread safe * `#8742 <https://github.com/scipy/scipy/pull/8742>`__: BUG: Fix division by zero in trust-region optimization methods * `#8746 <https://github.com/scipy/scipy/pull/8746>`__: MAINT: signal: Fix a docstring of a private function, and fix... * `#8750 <https://github.com/scipy/scipy/pull/8750>`__: DOC clarified description of norminvgauss in scipy.stats * `#8753 <https://github.com/scipy/scipy/pull/8753>`__: DOC: signal: Fix a plot title in the chirp docstring. * `#8755 <https://github.com/scipy/scipy/pull/8755>`__: DOC: MAINT: Fix link to the wheel documentation in developer... * `#8760 <https://github.com/scipy/scipy/pull/8760>`__: BUG: stats: boltzmann wasn't setting the upper bound. * `#8763 <https://github.com/scipy/scipy/pull/8763>`__: [DOC] Improved scipy.cluster.hierarchy documentation * `#8765 <https://github.com/scipy/scipy/pull/8765>`__: DOC: added example for scipy.stat.mstats.tmin * `#8788 <https://github.com/scipy/scipy/pull/8788>`__: DOC: fix definition of optional `disp` parameter * `#8802 <https://github.com/scipy/scipy/pull/8802>`__: MAINT: Suppress dd_real unused function compiler warnings. * `#8803 <https://github.com/scipy/scipy/pull/8803>`__: ENH: Add full_output support to optimize.newton() * `#8804 <https://github.com/scipy/scipy/pull/8804>`__: MAINT: stats cleanup * `#8808 <https://github.com/scipy/scipy/pull/8808>`__: DOC: add note about isinstance for frozen rvs * `#8812 <https://github.com/scipy/scipy/pull/8812>`__: Updated numpydoc submodule * `#8813 <https://github.com/scipy/scipy/pull/8813>`__: MAINT: stats: Fix multinomial docstrings, and do some clean up. * `#8816 <https://github.com/scipy/scipy/pull/8816>`__: BUG: fixed _stats of t-distribution in scipy.stats * `#8817 <https://github.com/scipy/scipy/pull/8817>`__: BUG: ndimage: Fix validation of the origin argument in correlate... * `#8822 <https://github.com/scipy/scipy/pull/8822>`__: BUG: integrate: Fix crash with repeated t values in odeint. * `#8832 <https://github.com/scipy/scipy/pull/8832>`__: Hyperlink DOIs against preferred resolver * `#8837 <https://github.com/scipy/scipy/pull/8837>`__: BUG: sparse: Ensure correct dtype for sparse comparison operations. * `#8839 <https://github.com/scipy/scipy/pull/8839>`__: DOC: stats: A few tweaks to the linregress docstring. * `#8846 <https://github.com/scipy/scipy/pull/8846>`__: BUG: stats: Fix logpdf method of invwishart. * `#8849 <https://github.com/scipy/scipy/pull/8849>`__: DOC: signal: Fixed mistake in the firwin docstring. * `#8854 <https://github.com/scipy/scipy/pull/8854>`__: DOC: fix type descriptors in ltisys documentation * `#8865 <https://github.com/scipy/scipy/pull/8865>`__: Fix tiny typo in docs for chi2 pdf * `#8870 <https://github.com/scipy/scipy/pull/8870>`__: Fixes related to invertibility of STFT * `#8872 <https://github.com/scipy/scipy/pull/8872>`__: ENH: special: Add the softmax function * `#8874 <https://github.com/scipy/scipy/pull/8874>`__: DOC correct gamma function in docstrings in scipy.stats * `#8876 <https://github.com/scipy/scipy/pull/8876>`__: ENH: Added TOMS Algorithm 748 as 1-d root finder; 17 test function... * `#8882 <https://github.com/scipy/scipy/pull/8882>`__: ENH: Only use Halley's adjustment to Newton if close enough. * `#8883 <https://github.com/scipy/scipy/pull/8883>`__: FIX: optimize: make jac and hess truly optional for 'trust-constr' * `#8885 <https://github.com/scipy/scipy/pull/8885>`__: TST: Do not error on warnings raised about non-tuple indexing. * `#8887 <https://github.com/scipy/scipy/pull/8887>`__: MAINT: filter out np.matrix PendingDeprecationWarning's in numpy... * `#8889 <https://github.com/scipy/scipy/pull/8889>`__: DOC: optimize: separate legacy interfaces from new ones * `#8890 <https://github.com/scipy/scipy/pull/8890>`__: ENH: Add optimize.root_scalar() as a universal dispatcher for... * `#8899 <https://github.com/scipy/scipy/pull/8899>`__: DCT-IV, DST-IV and DCT-I, DST-I orthonormalization support in... * `#8901 <https://github.com/scipy/scipy/pull/8901>`__: MAINT: Reorganize flapack.pyf.src file * `#8907 <https://github.com/scipy/scipy/pull/8907>`__: BUG: ENH: Check if guess for newton is already zero before checking... * `#8908 <https://github.com/scipy/scipy/pull/8908>`__: ENH: Make sorting optional for cKDTree.query_ball_point() * `#8910 <https://github.com/scipy/scipy/pull/8910>`__: DOC: sparse.csgraph simple examples. * `#8914 <https://github.com/scipy/scipy/pull/8914>`__: DOC: interpolate: fix equivalences of string aliases * `#8918 <https://github.com/scipy/scipy/pull/8918>`__: add float_control(precise, on) to _fpumode.c * `#8919 <https://github.com/scipy/scipy/pull/8919>`__: MAINT: interpolate: improve error messages for common `bc_type`... * `#8920 <https://github.com/scipy/scipy/pull/8920>`__: DOC: update Contributing to SciPy to say "prefer no PEP8 only... * `#8924 <https://github.com/scipy/scipy/pull/8924>`__: MAINT: special: deprecate `hyp2f0`, `hyp1f2`, and `hyp3f0` * `#8927 <https://github.com/scipy/scipy/pull/8927>`__: MAINT: special: remove `errprint` * `#8932 <https://github.com/scipy/scipy/pull/8932>`__: Fix broadcasting scale arg of entropy * `#8936 <https://github.com/scipy/scipy/pull/8936>`__: Fix (some) non-tuple index warnings * `#8937 <https://github.com/scipy/scipy/pull/8937>`__: ENH: implement sparse matrix BSR to CSR conversion directly. * `#8938 <https://github.com/scipy/scipy/pull/8938>`__: DOC: add @_ni_docstrings.docfiller in ndimage.rotate * `#8940 <https://github.com/scipy/scipy/pull/8940>`__: Update _discrete_distns.py * `#8943 <https://github.com/scipy/scipy/pull/8943>`__: DOC: Finish dangling sentence in `convolve` docstring * `#8944 <https://github.com/scipy/scipy/pull/8944>`__: MAINT: Address tuple indexing and warnings * `#8945 <https://github.com/scipy/scipy/pull/8945>`__: ENH: spatial.transform.Rotation [GSOC2018] * `#8950 <https://github.com/scipy/scipy/pull/8950>`__: csgraph Dijkstra function description rewording * `#8953 <https://github.com/scipy/scipy/pull/8953>`__: DOC, MAINT: HTTP -> HTTPS, and other linkrot fixes * `#8955 <https://github.com/scipy/scipy/pull/8955>`__: BUG: np.int64 in scipy.fftpack.next_fast_len * `#8958 <https://github.com/scipy/scipy/pull/8958>`__: MAINT: Add more descriptive error message for phase one simplex. * `#8962 <https://github.com/scipy/scipy/pull/8962>`__: BUG: sparse.linalg: add missing conjugate to _ScaledLinearOperator.adjoint * `#8963 <https://github.com/scipy/scipy/pull/8963>`__: BUG: sparse.linalg: downgrade LinearOperator TypeError to warning * `#8965 <https://github.com/scipy/scipy/pull/8965>`__: ENH: Wrapped RFP format and RZ decomposition routines * `#8969 <https://github.com/scipy/scipy/pull/8969>`__: MAINT: doc and code fixes for optimize.newton * `#8970 <https://github.com/scipy/scipy/pull/8970>`__: Added 'average' keyword for welch/csd to enable median averaging * `#8971 <https://github.com/scipy/scipy/pull/8971>`__: Better imresize deprecation warning * `#8972 <https://github.com/scipy/scipy/pull/8972>`__: MAINT: Switch np.where(c) for np.nonzero(c) * `#8975 <https://github.com/scipy/scipy/pull/8975>`__: MAINT: Fix warning-based failures * `#8979 <https://github.com/scipy/scipy/pull/8979>`__: DOC: fix description of count_sort keyword of dendrogram * `#8982 <https://github.com/scipy/scipy/pull/8982>`__: MAINT: optimize: Fixed minor mistakes in test_linprog.py (#8978) * `#8984 <https://github.com/scipy/scipy/pull/8984>`__: BUG: sparse.linalg: ensure expm casts integer inputs to float * `#8986 <https://github.com/scipy/scipy/pull/8986>`__: BUG: optimize/slsqp: do not exit with convergence on steps where... * `#8989 <https://github.com/scipy/scipy/pull/8989>`__: MAINT: use collections.abc in basinhopping * `#8990 <https://github.com/scipy/scipy/pull/8990>`__: ENH extend p-values of anderson_ksamp in scipy.stats * `#8991 <https://github.com/scipy/scipy/pull/8991>`__: ENH: Weighted kde * `#8993 <https://github.com/scipy/scipy/pull/8993>`__: ENH: spatial.transform.Rotation.random [GSOC 2018] * `#8994 <https://github.com/scipy/scipy/pull/8994>`__: ENH: spatial.transform.Slerp [GSOC 2018] * `#8995 <https://github.com/scipy/scipy/pull/8995>`__: TST: time.time in test * `#9007 <https://github.com/scipy/scipy/pull/9007>`__: Fix typo in fftpack.rst * `#9013 <https://github.com/scipy/scipy/pull/9013>`__: Added correct plotting code for two sided output from spectrogram * `#9014 <https://github.com/scipy/scipy/pull/9014>`__: BUG: differential_evolution with inf objective functions * `#9017 <https://github.com/scipy/scipy/pull/9017>`__: BUG: fixed #8446 corner case for asformat(array|dense) * `#9018 <https://github.com/scipy/scipy/pull/9018>`__: MAINT: _lib/ccallback: remove unused code * `#9021 <https://github.com/scipy/scipy/pull/9021>`__: BUG: Issue with subspace_angles * `#9022 <https://github.com/scipy/scipy/pull/9022>`__: DOC: Added "See Also" section to lombscargle docstring * `#9034 <https://github.com/scipy/scipy/pull/9034>`__: BUG: Fix tolerance printing behavior, remove meaningless tol... * `#9035 <https://github.com/scipy/scipy/pull/9035>`__: TST: improve signal.bsplines test coverage * `#9037 <https://github.com/scipy/scipy/pull/9037>`__: ENH: add a new init method for k-means * `#9039 <https://github.com/scipy/scipy/pull/9039>`__: DOC: Add examples to fftpack.irfft docstrings * `#9048 <https://github.com/scipy/scipy/pull/9048>`__: ENH: scipy.sparse.random * `#9050 <https://github.com/scipy/scipy/pull/9050>`__: BUG: scipy.io.hb_write: fails for matrices not in csc format * `#9051 <https://github.com/scipy/scipy/pull/9051>`__: MAINT: Fix slow sparse.rand for k < mn/3 (#9036). * `#9054 <https://github.com/scipy/scipy/pull/9054>`__: MAINT: spatial: Explicitly initialize LAPACK output parameters. * `#9055 <https://github.com/scipy/scipy/pull/9055>`__: DOC: Add examples to scipy.special docstrings * `#9056 <https://github.com/scipy/scipy/pull/9056>`__: ENH: Use one thread in OpenBLAS * `#9059 <https://github.com/scipy/scipy/pull/9059>`__: DOC: Update README with link to Code of Conduct * `#9060 <https://github.com/scipy/scipy/pull/9060>`__: BLD: remove support for the Bento build system. * `#9062 <https://github.com/scipy/scipy/pull/9062>`__: DOC add sections to overview in scipy.stats * `#9066 <https://github.com/scipy/scipy/pull/9066>`__: BUG: Correct "remez" error message * `#9069 <https://github.com/scipy/scipy/pull/9069>`__: DOC: update linalg section of roadmap for LAPACK versions. * `#9079 <https://github.com/scipy/scipy/pull/9079>`__: MAINT: add spatial.transform to refguide check; complete some... * `#9081 <https://github.com/scipy/scipy/pull/9081>`__: MAINT: Add warnings if pivot value is close to tolerance in linprog(method='simplex') * `#9084 <https://github.com/scipy/scipy/pull/9084>`__: BUG fix incorrect p-values of kurtosistest in scipy.stats * `#9095 <https://github.com/scipy/scipy/pull/9095>`__: DOC: add sections to mstats overview in scipy.stats * `#9096 <https://github.com/scipy/scipy/pull/9096>`__: BUG: Add test for Stackoverflow example from issue 8174. * `#9101 <https://github.com/scipy/scipy/pull/9101>`__: ENH: add Siegel slopes (robust regression) to scipy.stats * `#9105 <https://github.com/scipy/scipy/pull/9105>`__: allow resample_poly() to output float32 for float32 inputs. * `#9112 <https://github.com/scipy/scipy/pull/9112>`__: MAINT: optimize: make trust-constr accept constraint dict (#9043) * `#9118 <https://github.com/scipy/scipy/pull/9118>`__: Add doc entry to cholesky_banded * `#9120 <https://github.com/scipy/scipy/pull/9120>`__: eigsh documentation parameters * `#9125 <https://github.com/scipy/scipy/pull/9125>`__: interpolative: correctly reconstruct full rank matrices * `#9126 <https://github.com/scipy/scipy/pull/9126>`__: MAINT: Use warnings for unexpected peak properties * `#9129 <https://github.com/scipy/scipy/pull/9129>`__: BUG: Do not catch and silence KeyboardInterrupt * `#9131 <https://github.com/scipy/scipy/pull/9131>`__: DOC: Correct the typo in scipy.optimize tutorial page * `#9133 <https://github.com/scipy/scipy/pull/9133>`__: FIX: Avoid use of bare except * `#9134 <https://github.com/scipy/scipy/pull/9134>`__: DOC: Update of 'return_eigenvectors' description * `#9137 <https://github.com/scipy/scipy/pull/9137>`__: DOC: typo fixes for discrete Poisson tutorial * `#9139 <https://github.com/scipy/scipy/pull/9139>`__: FIX: Doctest failure in optimize tutorial * `#9143 <https://github.com/scipy/scipy/pull/9143>`__: DOC: missing sigma in Pearson r formula * `#9145 <https://github.com/scipy/scipy/pull/9145>`__: MAINT: Refactor linear programming solvers * `#9149 <https://github.com/scipy/scipy/pull/9149>`__: FIX: Make scipy.odr.ODR ifixx equal to its data.fix if given * `#9156 <https://github.com/scipy/scipy/pull/9156>`__: DOC: special: Mention the sigmoid function in the expit docstring. * `#9160 <https://github.com/scipy/scipy/pull/9160>`__: Fixed a latex delimiter error in levy() * `#9170 <https://github.com/scipy/scipy/pull/9170>`__: DOC: correction / update of docstrings of distributions in scipy.stats * `#9171 <https://github.com/scipy/scipy/pull/9171>`__: better description of the hierarchical clustering parameter * `#9174 <https://github.com/scipy/scipy/pull/9174>`__: domain check for a < b in stats.truncnorm * `#9175 <https://github.com/scipy/scipy/pull/9175>`__: DOC: Minor grammar fix * `#9176 <https://github.com/scipy/scipy/pull/9176>`__: BUG: CloughTocher2DInterpolator: fix miscalculation at neighborless... * `#9177 <https://github.com/scipy/scipy/pull/9177>`__: BUILD: Document the "clean" target in the doc/Makefile. * `#9178 <https://github.com/scipy/scipy/pull/9178>`__: MAINT: make refguide-check more robust for printed numpy arrays * `#9186 <https://github.com/scipy/scipy/pull/9186>`__: MAINT: Remove np.ediff1d occurence * `#9188 <https://github.com/scipy/scipy/pull/9188>`__: DOC: correct typo in extending ndimage with C * `#9190 <https://github.com/scipy/scipy/pull/9190>`__: ENH: Support specifying axes for fftconvolve * `#9192 <https://github.com/scipy/scipy/pull/9192>`__: MAINT: optimize: fixed @pv style suggestions from #9112 * `#9200 <https://github.com/scipy/scipy/pull/9200>`__: Fix make_interp_spline(..., k=0 or 1, axis<0) * `#9201 <https://github.com/scipy/scipy/pull/9201>`__: BUG: sparse.linalg/gmres: use machine eps in breakdown check * `#9204 <https://github.com/scipy/scipy/pull/9204>`__: MAINT: fix up stats.spearmanr and match mstats.spearmanr with... * `#9206 <https://github.com/scipy/scipy/pull/9206>`__: MAINT: include benchmarks and dev files in sdist. * `#9208 <https://github.com/scipy/scipy/pull/9208>`__: TST: signal: bump bsplines test tolerance for complex data * `#9210 <https://github.com/scipy/scipy/pull/9210>`__: TST: mark tests as slow, fix missing random seed * `#9211 <https://github.com/scipy/scipy/pull/9211>`__: ENH: add capability to specify orders in pade func * `#9217 <https://github.com/scipy/scipy/pull/9217>`__: MAINT: Include ``success`` and ``nit`` in OptimizeResult returned... * `#9222 <https://github.com/scipy/scipy/pull/9222>`__: ENH: interpolate: Use scipy.spatial.distance to speed-up Rbf * `#9229 <https://github.com/scipy/scipy/pull/9229>`__: MNT: Fix Fourier filter double case * `#9233 <https://github.com/scipy/scipy/pull/9233>`__: BUG: spatial/distance: fix pdist/cdist performance regression... * `#9234 <https://github.com/scipy/scipy/pull/9234>`__: FIX: Proper suppression * `#9235 <https://github.com/scipy/scipy/pull/9235>`__: BENCH: rationalize slow benchmarks + miscellaneous fixes * `#9238 <https://github.com/scipy/scipy/pull/9238>`__: BENCH: limit number of parameter combinations in spatial.*KDTree... * `#9239 <https://github.com/scipy/scipy/pull/9239>`__: DOC: stats: Fix LaTeX markup of a couple distribution PDFs. * `#9241 <https://github.com/scipy/scipy/pull/9241>`__: ENH: Evaluate plateau size during peak finding * `#9242 <https://github.com/scipy/scipy/pull/9242>`__: ENH: stats: Implement _ppf and _logpdf for crystalball, and do... * `#9246 <https://github.com/scipy/scipy/pull/9246>`__: DOC: Properly render versionadded directive in HTML documentation * `#9255 <https://github.com/scipy/scipy/pull/9255>`__: DOC: mention RootResults in optimization reference guide * `#9260 <https://github.com/scipy/scipy/pull/9260>`__: TST: relax some tolerances so tests pass with x87 math * `#9264 <https://github.com/scipy/scipy/pull/9264>`__: TST Use assert_raises "match" parameter instead of the "message"... * `#9267 <https://github.com/scipy/scipy/pull/9267>`__: DOC: clarify expect() return val when moment is inf/nan * `#9272 <https://github.com/scipy/scipy/pull/9272>`__: DOC: Add description of default bounds to linprog * `#9277 <https://github.com/scipy/scipy/pull/9277>`__: MAINT: sparse/linalg: make test deterministic * `#9278 <https://github.com/scipy/scipy/pull/9278>`__: MAINT: interpolate: pep8 cleanup in test_polyint * `#9279 <https://github.com/scipy/scipy/pull/9279>`__: Fixed docstring for resample * `#9280 <https://github.com/scipy/scipy/pull/9280>`__: removed first check for float in get_sum_dtype * `#9281 <https://github.com/scipy/scipy/pull/9281>`__: BUG: only accept 1d input for bartlett / levene in scipy.stats * `#9282 <https://github.com/scipy/scipy/pull/9282>`__: MAINT: dense_output and t_eval are mutually exclusive inputs * `#9283 <https://github.com/scipy/scipy/pull/9283>`__: MAINT: add docs and do some cleanups in interpolate.Rbf * `#9288 <https://github.com/scipy/scipy/pull/9288>`__: Run distance_transform_edt tests on all types * `#9294 <https://github.com/scipy/scipy/pull/9294>`__: DOC: fix the formula typo * `#9298 <https://github.com/scipy/scipy/pull/9298>`__: MAINT: optimize/trust-constr: restore .niter attribute for backward-compat * `#9299 <https://github.com/scipy/scipy/pull/9299>`__: DOC: clarification of default rvs method in scipy.stats * `#9301 <https://github.com/scipy/scipy/pull/9301>`__: MAINT: removed unused import sys * `#9302 <https://github.com/scipy/scipy/pull/9302>`__: MAINT: removed unused imports * `#9303 <https://github.com/scipy/scipy/pull/9303>`__: DOC: signal: Refer to fs instead of nyq in the firwin docstring. * `#9305 <https://github.com/scipy/scipy/pull/9305>`__: ENH: Added Yeo-Johnson power transformation * `#9306 <https://github.com/scipy/scipy/pull/9306>`__: ENH - add dual annealing * `#9309 <https://github.com/scipy/scipy/pull/9309>`__: ENH add the yulesimon distribution to scipy.stats * `#9317 <https://github.com/scipy/scipy/pull/9317>`__: Nested SLSQP bug fix. * `#9320 <https://github.com/scipy/scipy/pull/9320>`__: MAINT: stats: avoid underflow in stats.geom.ppf * `#9326 <https://github.com/scipy/scipy/pull/9326>`__: Add example for Rosenbrock function * `#9332 <https://github.com/scipy/scipy/pull/9332>`__: Sort file lists * `#9340 <https://github.com/scipy/scipy/pull/9340>`__: Fix typo in find_peaks documentation * `#9343 <https://github.com/scipy/scipy/pull/9343>`__: MAINT Use np.full when possible * `#9344 <https://github.com/scipy/scipy/pull/9344>`__: DOC: added examples to docstring of dirichlet class * `#9346 <https://github.com/scipy/scipy/pull/9346>`__: DOC: Fix import of scipy.sparse.linalg in example (#9345) * `#9350 <https://github.com/scipy/scipy/pull/9350>`__: Fix interpolate read only * `#9351 <https://github.com/scipy/scipy/pull/9351>`__: MAINT: special.erf: use the x->-x symmetry * `#9356 <https://github.com/scipy/scipy/pull/9356>`__: Fix documentation typo * `#9358 <https://github.com/scipy/scipy/pull/9358>`__: DOC: improve doc for ksone and kstwobign in scipy.stats * `#9362 <https://github.com/scipy/scipy/pull/9362>`__: DOC: Change datatypes of A matrices in linprog * `#9364 <https://github.com/scipy/scipy/pull/9364>`__: MAINT: Adds implicit none to fftpack fortran sources * `#9369 <https://github.com/scipy/scipy/pull/9369>`__: DOC: minor tweak to CoC (updated NumFOCUS contact address). * `#9373 <https://github.com/scipy/scipy/pull/9373>`__: Fix exception if python is called with -OO option * `#9374 <https://github.com/scipy/scipy/pull/9374>`__: FIX: AIX compilation issue with NAN and INFINITY * `#9376 <https://github.com/scipy/scipy/pull/9376>`__: COBLYA -> COBYLA in docs * `#9377 <https://github.com/scipy/scipy/pull/9377>`__: DOC: Add examples integrate: fixed_quad and quadrature * `#9379 <https://github.com/scipy/scipy/pull/9379>`__: MAINT: TST: Make tests NumPy 1.8 compatible * `#9385 <https://github.com/scipy/scipy/pull/9385>`__: CI: On Travis matrix "OPTIMIZE=-OO" flag ignored * `#9387 <https://github.com/scipy/scipy/pull/9387>`__: Fix defaut value for 'mode' in 'ndimage.shift' in the doc * `#9392 <https://github.com/scipy/scipy/pull/9392>`__: BUG: rank has to be integer in rank_filter: fixed issue 9388 * `#9399 <https://github.com/scipy/scipy/pull/9399>`__: DOC: Misc. typos * `#9400 <https://github.com/scipy/scipy/pull/9400>`__: TST: stats: Fix the expected r-value of a linregress test. * `#9405 <https://github.com/scipy/scipy/pull/9405>`__: BUG: np.hstack does not accept generator expressions * `#9408 <https://github.com/scipy/scipy/pull/9408>`__: ENH: linalg: Shorter ill-conditioned warning message * `#9418 <https://github.com/scipy/scipy/pull/9418>`__: DOC: Fix ndimage docstrings and reduce doc build warnings * `#9421 <https://github.com/scipy/scipy/pull/9421>`__: DOC: Add missing docstring examples in scipy.spatial * `#9422 <https://github.com/scipy/scipy/pull/9422>`__: DOC: Add an example to integrate.newton_cotes * `#9427 <https://github.com/scipy/scipy/pull/9427>`__: BUG: Fixed defect with maxiter #9419 in dual annealing * `#9431 <https://github.com/scipy/scipy/pull/9431>`__: BENCH: Add dual annealing to scipy benchmark (see #9415) * `#9435 <https://github.com/scipy/scipy/pull/9435>`__: DOC: Add docstring examples for stats.binom_test * `#9443 <https://github.com/scipy/scipy/pull/9443>`__: DOC: Fix the order of indices in optimize tutorial * `#9444 <https://github.com/scipy/scipy/pull/9444>`__: MAINT: interpolate: use operator.index for checking/coercing... * `#9445 <https://github.com/scipy/scipy/pull/9445>`__: DOC: Added missing example to stats.mstats.kruskal * `#9446 <https://github.com/scipy/scipy/pull/9446>`__: DOC: Add note about version changed for jaccard distance * `#9447 <https://github.com/scipy/scipy/pull/9447>`__: BLD: version-script handling in setup.py * `#9448 <https://github.com/scipy/scipy/pull/9448>`__: TST: skip a problematic linalg test * `#9449 <https://github.com/scipy/scipy/pull/9449>`__: TST: fix missing seed in lobpcg test. * `#9456 <https://github.com/scipy/scipy/pull/9456>`__: TST: test_eigs_consistency() now sorts output Checksums ========= MD5 ~~~ 8d056b1b8aabbbcb34116af4f132688c scipy-1.2.0rc2-cp27-cp27m-macosx_10_6_intel.macosx_10_9_intel.macosx_10_9_x86_64.macosx_10_10_intel.macosx_10_10_x86_64.whl 53097b88fa71ca0d8bf1105f431682bf scipy-1.2.0rc2-cp27-cp27m-manylinux1_i686.whl 180c35a669c61f5aa487dcb0cb18f8ab scipy-1.2.0rc2-cp27-cp27m-manylinux1_x86_64.whl 0d4008cb8e25953b1e23a32c660684bd scipy-1.2.0rc2-cp27-cp27m-win32.whl 35d2091830466b6e37a672f59eae2f54 scipy-1.2.0rc2-cp27-cp27m-win_amd64.whl 0b6f7b8c0b8f1324ef2d87b7846fa6c5 scipy-1.2.0rc2-cp27-cp27mu-manylinux1_i686.whl c91784a0889bb921b524555c68e224eb scipy-1.2.0rc2-cp27-cp27mu-manylinux1_x86_64.whl 748d952957be7c48def5e77ccfbfa9fe scipy-1.2.0rc2-cp34-cp34m-macosx_10_6_intel.macosx_10_9_intel.macosx_10_9_x86_64.macosx_10_10_intel.macosx_10_10_x86_64.whl ea7db734b9e87aa8c694a23f50da261d scipy-1.2.0rc2-cp34-cp34m-manylinux1_i686.whl 897af31662c9d9bfeab4e34a8da8f7b0 scipy-1.2.0rc2-cp34-cp34m-manylinux1_x86_64.whl c9a0789bb8c2cdf1c1a6b44f7f6958ff scipy-1.2.0rc2-cp34-cp34m-win32.whl 34515d46edd4fc39ac97841c0ffdc535 scipy-1.2.0rc2-cp34-cp34m-win_amd64.whl cb445d88d28a8df870442f8b75b1f076 scipy-1.2.0rc2-cp35-cp35m-macosx_10_6_intel.macosx_10_9_intel.macosx_10_9_x86_64.macosx_10_10_intel.macosx_10_10_x86_64.whl 3107ddaec0337c99285d7ae7cd517c44 scipy-1.2.0rc2-cp35-cp35m-manylinux1_i686.whl e801ee5e915ecc47d5800d36a62609ed scipy-1.2.0rc2-cp35-cp35m-manylinux1_x86_64.whl 3282fa4b3088d18fb5d8a4176911f88c scipy-1.2.0rc2-cp35-cp35m-win32.whl 7178e87b7407f10232c0ec45c53d299b scipy-1.2.0rc2-cp35-cp35m-win_amd64.whl ad5747f5295b4e7feb98233211d28fba scipy-1.2.0rc2-cp36-cp36m-macosx_10_6_intel.macosx_10_9_intel.macosx_10_9_x86_64.macosx_10_10_intel.macosx_10_10_x86_64.whl 57b1c8ae77febceee7f1453be210b888 scipy-1.2.0rc2-cp36-cp36m-manylinux1_i686.whl 2eb66820f6806f6b7a7f8e1e66b7ffe6 scipy-1.2.0rc2-cp36-cp36m-manylinux1_x86_64.whl 3cfbf4618f40d79a52caa03eb66eff4b scipy-1.2.0rc2-cp36-cp36m-win32.whl 55a837b1d6bc1bac44f9d02fe71220fb scipy-1.2.0rc2-cp36-cp36m-win_amd64.whl 17bed5da01da6157d33215a8e3d4676f scipy-1.2.0rc2-cp37-cp37m-macosx_10_6_intel.macosx_10_9_intel.macosx_10_9_x86_64.macosx_10_10_intel.macosx_10_10_x86_64.whl e8fe35c2017709d36f4fcb3ad7499782 scipy-1.2.0rc2-cp37-cp37m-manylinux1_i686.whl d670611d03945419b272c38ac109c542 scipy-1.2.0rc2-cp37-cp37m-manylinux1_x86_64.whl cc5a920ee31c68404ccb947a08d8825d scipy-1.2.0rc2-cp37-cp37m-win32.whl eb3fd215b6a39af8d6ef5f44c5b0b6ce scipy-1.2.0rc2-cp37-cp37m-win_amd64.whl 7fd5310c5b19a6faa32f845bba35208b scipy-1.2.0rc2.tar.gz 1fd898bfbbb2ec2afb155ada32c4ed20 scipy-1.2.0rc2.tar.xz 6022906c840d14272c8000f5d48113be scipy-1.2.0rc2.zip SHA256 ~~~~~~ 3b08d5ed06d3518f4cee22536d18b3b33b94265f902a0daf9238ce286e481fb9 scipy-1.2.0rc2-cp27-cp27m-macosx_10_6_intel.macosx_10_9_intel.macosx_10_9_x86_64.macosx_10_10_intel.macosx_10_10_x86_64.whl 3b2a24b91e1570a10f65cdcebf90bd8186738ba25d934be38385f6ad5e56997f scipy-1.2.0rc2-cp27-cp27m-manylinux1_i686.whl f3add2b81868de7b3ec147019a6d2a32227dae1366e447ff69ea2744c6d59a3d scipy-1.2.0rc2-cp27-cp27m-manylinux1_x86_64.whl b61606b5bb3d4706362d468b3581952cb5f702bd237510d6ef3347a99a6f2ed4 scipy-1.2.0rc2-cp27-cp27m-win32.whl 1498d3b296075b2281524c42706be6d8f41112edda105eb0f5aa3355cee51a21 scipy-1.2.0rc2-cp27-cp27m-win_amd64.whl 01a32acb43729219cf583ba50fd7f77e6ccadd37c6fb835a5a3695c2c51aceb1 scipy-1.2.0rc2-cp27-cp27mu-manylinux1_i686.whl 368fce2d186120a89d6e7ac6ed374fa0418f92c502a54f5b6c462036254496e0 scipy-1.2.0rc2-cp27-cp27mu-manylinux1_x86_64.whl 06a81e1d99f6b02c3f6ef54827dd4bacf53d014988dbc09b954f4124e6c414e1 scipy-1.2.0rc2-cp34-cp34m-macosx_10_6_intel.macosx_10_9_intel.macosx_10_9_x86_64.macosx_10_10_intel.macosx_10_10_x86_64.whl a859de1cd744f51ffb7870c52b3982e0b78b9ca25f3036a83aae106cd57eb8ab scipy-1.2.0rc2-cp34-cp34m-manylinux1_i686.whl e60239d88fd2e094b0369a268b4480750c3c8b37b222dd4da22d53e4a7dc25b3 scipy-1.2.0rc2-cp34-cp34m-manylinux1_x86_64.whl 69ce63646a13b24fb35549dfb4c9daf4ff7dacc964e1720cf8bccb4db54e4aba scipy-1.2.0rc2-cp34-cp34m-win32.whl 58efa4bfe146e949d1b9a5c772ccb524a8f939e82423fd1129745bcdd029961a scipy-1.2.0rc2-cp34-cp34m-win_amd64.whl 597c1fded8f49019ed03d1e3648d296d56de8a5d5530ca698addd5707f729048 scipy-1.2.0rc2-cp35-cp35m-macosx_10_6_intel.macosx_10_9_intel.macosx_10_9_x86_64.macosx_10_10_intel.macosx_10_10_x86_64.whl 25735065cfc8a3fc9b6575945c6a130b1dd71d6e096a35288a3c39be87040934 scipy-1.2.0rc2-cp35-cp35m-manylinux1_i686.whl 749262355e689e1f3828cb530496202d9d6cd88a7734f6908266df05e8debad7 scipy-1.2.0rc2-cp35-cp35m-manylinux1_x86_64.whl 2b3d9c56ec70e9be1a8e0a3e483f0bf7f9998d4cd37e9a91d6352ac168de1d3d scipy-1.2.0rc2-cp35-cp35m-win32.whl dcd05569a7dd0fc267eadec54d416ab728db3f30447fdc078d536166637a993f scipy-1.2.0rc2-cp35-cp35m-win_amd64.whl 6957a26d95be2b41dfb6bb0ede0b0d8826827954fdfbe8cf02e7a94fa29243e2 scipy-1.2.0rc2-cp36-cp36m-macosx_10_6_intel.macosx_10_9_intel.macosx_10_9_x86_64.macosx_10_10_intel.macosx_10_10_x86_64.whl 42cd83178ab4ca83b8aa3a0001462895ada61b1ff656c6f6e455a6c9eb8d268a scipy-1.2.0rc2-cp36-cp36m-manylinux1_i686.whl e540be156010dac4b89e10b83193e6e700b58113781f20f627a83faafa335d79 scipy-1.2.0rc2-cp36-cp36m-manylinux1_x86_64.whl a320b6f5cb059c7376ded4a9b464030de972dbf4e58807baf0145e042301a8b0 scipy-1.2.0rc2-cp36-cp36m-win32.whl 37d0352e786d28095df81ced7e68eea2724c6ae66dd2f74c0c59edfbf0427d3e scipy-1.2.0rc2-cp36-cp36m-win_amd64.whl 6baa1c0242f41dabf3e4ab1be808c793cbd7ed494bff750fafe88546c0015bfb scipy-1.2.0rc2-cp37-cp37m-macosx_10_6_intel.macosx_10_9_intel.macosx_10_9_x86_64.macosx_10_10_intel.macosx_10_10_x86_64.whl 9c2b534675ee8b07b7778d27daafdee06343dc8c96061d45bd646e34663003c1 scipy-1.2.0rc2-cp37-cp37m-manylinux1_i686.whl 8a086063621a531f797188a17b99620b2a3a35153618dac30c8325e8b8eb13ae scipy-1.2.0rc2-cp37-cp37m-manylinux1_x86_64.whl d018053c116e9e26334f0a00cf3ef835f725dd168ccb1affeebe2f44c8724003 scipy-1.2.0rc2-cp37-cp37m-win32.whl 1b6b10e7b8b236efb98f51297cd8c73944d1e3f6bec13269b9a22531b298b5eb scipy-1.2.0rc2-cp37-cp37m-win_amd64.whl 689c5ffb7634560e2a3671f3bac3c2a9926c87bc4d84d8bc7c54ca4695ca3552 scipy-1.2.0rc2.tar.gz 54b3a2f66c36f3cee1803ae843e249c85d814c2d4c4f18452059cdfa28b748af scipy-1.2.0rc2.tar.xz 6d77e355a517847131c645ccd95e4dcbb6569288eef3ddd8d811cca711cf296f scipy-1.2.0rc2.zip -----BEGIN PGP SIGNATURE----- iQIzBAEBCAAdFiEEgfAqrOuERrV4fwr6XCLdIy4FKasFAlwID4kACgkQXCLdIy4F Kau2rRAAsTZRG9W1yCcIY3Oi7XY2XGdYdWQZ9JLQpMWpcjttXjA8N/sJ3mZIlWO8 Lwm8iWsLELmhgk19TxRIR38pu1Uofsqtm96X4HxcTg24G6nGvEABxh+QyOp8dQMX wARy1Ji8JwJqydg/Vg3885BNf6Ti2fpOCS1avFqf16FueukjSFDYlBVY/tvDjd+j q+Tv0ByjA0NXqh5HlJuVkiNXHsa/OUuVUaBFb4RE6VZPWHd4J47d3rkcpyActa2G JF0OyLqx34xmC5Q8IhCEFNAvwU7EpzTo/4gtZf3SoRuF3326Z/RUvalBu5u1zkio 17p6Wzfu/AXSq82AD9FoujLIvss52Ne26xqqtgR/Fc+1XkoxWuF7fNFvdX4AApK8 quCLp5W+NsoQjkCjnmvYxRmBa5lsvtxoiTGrC25gRbxg2SGpVC6c65egCE9xoFza 6HarIXnVQ2mzo+7PUX2czHOJx6XYgCwIUqrOMmymRH4NCGWLPp6+wfVJ4mENWAZ/ GFcQhVoHw8AV07wHnaM6MXN7BBFcg8ZqYZaGPf0RYdVqN+crh410i2atG9GHZiMi i7+5JwN75rK133KCn7p5wyZylm/7RyEGTs6ElhkapQ5/NRcYnjpG36qTJnTFQYzL f9F5NnadP2+pEc97ZTOo9j/g9QIz3DZFHFFILy22enmq/4VcFD8= =doxZ -----END PGP SIGNATURE-----

1 0