Mailman 3 April 2018 - SciPy-Dev

linalg.solve keyword deprecation
by Ilhan Polat 26 Apr '18

26 Apr '18

Hi there, Some time ago, we have included different matrix structure types such as symmetric, positive definite and hermitian together with the generic matrices to solve AX=B problems in linalg.solve. Previously, there were two keywords in the signature namely "debug" and "sym_pos". These keywords, in my opinion, are obsolete and actually clutter the function signature because the dummy keyword "debug" has no functionality and "sym_pos" is covered by "assume_a" keyword as a special case. Hence I've proposed to deprecate these in https://github.com/scipy/scipy/pull/8715/files . Pauli also chimed in and mentioned that this might not be a good idea since this is a central function and the benefits might not be worth the effort and backwards compatibility problems. With Python2 dying, I think the backwards compatibility part won't be such important problem anymore and the benefit is that we don't need to have such strange signature. Thus, I'd like to ask around what others think about this since this indeed "needs-decision". ilhan

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GSoC'18 accepted student announced
by Ralf Gommers 26 Apr '18

26 Apr '18

Hi all, Google announced the results of the GSoC application process. SciPy received 1 slot - I'm happy to congratulate Aditya Bharti as our accepted student for this year! And a big thanks to Nikolay Mayorov and Eric Larson for stepping up to mentor this year! Looking forward to an interesting project! Aditya's project: Official summary: https://summerofcode.withgoogle.com/projects/#6542621229449216 Full proposal (latest draft, final pdf is not public): https://docs.google.com/document/d/1UriyLABwgjUcYfBofSr4hqAnLzblJ71pkzm7i26… Co-mentors: Nikolay Mayorov, Eric Larson (I'm listed as mentor as well, but that's mainly for admin reasons). The "community bonding" period has just started, let's all make sure to welcome Aditya and help him where needed, so he can hit the ground running from May 14th onwards! Cheers, Ralf

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Allow non-canonical form in COO?
by Hameer Abbasi 26 Apr '18

26 Apr '18

Hello SciPy-Dev, I submitted a pull request <https://github.com/pydata/sparse/pull/141> to pydata/sparse <https://github.com/pydata/sparse> (I’m one of its maintainers) about always keeping a COO array in canonical form. We (Matthew Rocklin, CJ Carey and I) were having a discussion there about whether it makes sense to allow sparse COO arrays to be in non-canonical order. In short, canonical form is: - Coordinates are sorted in lexographical order, i.e., the same order they would appear in in a C-contiguous array. - There are no duplicate coordinates allowed. - There are no stored coordinates with a zero value. With this in mind, what are the SciPy developers’ opinions on this? Does allowing COO arrays to be in non-canonical form make sense? Feedback welcome on the PR or the mailing list. Best regards, Hameer Abbasi Sent from Astro <https://www.helloastro.com> for Mac

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Pythran 0.8.5
by Serge Guelton 24 Apr '18

24 Apr '18

(sorry for the double posting if any) It is my pleasure to announce a new version of the Pythran compiler. Pythran is an Ahead of Time compiler for a subset of the Python language, with a focus on scientific kernels. It can turn code like the one below: #pythran export weights(uint8[:,:]) import numpy as np def weights(input_data, threshold=0.3): n_seq, length = input_data.shape weights = np.zeros(n_seq, dtype=np.float32) for i in range(n_seq): vector = input_data[i, None, :] count_matches = np.sum(vector == input_data, axis=1) over_threshold = count_matches > (threshold * length) total = np.sum(over_threshold) weights[i] = 1 / total return weights into a native module that runs roughly 10 times faster than when interpreted by cpython. It's available on PyPi, Conda and GitHub under BSD license. For the curious reader, the Changelog is reproduced below. It's a megablast! ---- 2018-04-23 Serge Guelton <serge.guelton(a)telecom-bretagne.eu> - numpy.fft support (thanks to Jean Laroche) - Faster generalized expression - Faster numpy.transpose, numpy.argmax, numpy reduction - Sphinx-compatible generated docstring (thanks to Pierre Augier) - Python output through -P (thanks to Pierre Augier) - Many bugfixes and numpy improvements (thanks to Yann Diorecet and Jean Laroche)

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scipy.stats.ks_2samp with weighted data
by Corin Hoad 22 Apr '18

22 Apr '18

Hello developers, I recently needed an implementation of the Kolmogorov-Smirnov 2 sample test which required the incorporation of a weight associated with each element of the data. This lead me to this stackexchange answer https://stats.stackexchange.com/questions/193439/two-sample-kolmogorov-smir… where a procedure for a weighted 2-sample KS test is taken from Numerical Methods of Statistics by Monohan. My current implementation of this can be found here: https://github.com/brunel-physics/tact/blob/2b0ee2a28a30f014b103319118b64be… Would there by any interest in incorporating this functionality into scipy? Yours, Corin Hoad

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Help with Hackathon, tomorrow
by Matthew Brett 21 Apr '18

21 Apr '18

Hi, I'm sorry this is such late notice, but can I ask for some help? I unwisely volunteered to help with a hackathon in London tomorrow: https://www.ahl.com/hackathon I have every reason to think there will be many excellent programmers coming, and some of them will want to work on Scipy. It could be very useful for engaging people in working on Scipy development. Do any of you have suggestions for issues we could work on? I'd love to hear any suggestions. Thanks a lot, Matthew

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SciPy in conda-forge env on Windows
by Mark Alexander Mikofski 20 Apr '18

20 Apr '18

Hi, Sorry if this question is redundant. I checked the "install" page in the SciPy docs, and couldn't find any mention of conda-forge. Can SciPy from pip (scipy-1.0.1-cp36-none-win_amd64.whl) be used with the numpy-feedstock from conda-forge? When I run the tests for scipy, the fail and hang after "scipy\linalg\tests\test_basic.py". The reason I thought this might work is because they both use a variant of OpenBLAS, but perhaps they are not compatible? I can see that NumPy openblas.dll is in miniconda/envs/<envname>/Library/bin (31,053KB) where as the SciPy openblas.dll is in site-packages/scipy/extra-dll (41,762KB) and the name is vendorized with a long alphanumeric string. Unfortunately if I try to use conda to install SciPy, conda uses the default "anaconda" channel, because win_amd64 conda-forge scipy-feedstock has been disabled, and when I run the tests using this mix of conda-forge:numpy and anaconda:scipy, I get the same failure at "scipy\linalg\tests\test_basic.py", which I would expect because the anaconda:scipy uses Intel-MKL not OpenBLAS, and I think these libraries need to be compatible for scipy to work, right? The test that fails is "TestDet.test_random()" scipy/linalg/tests/test_basic.py::TestDet::test_random FAILED [ 54%] this is the pytest traceback: --------------------------------------------------------------------------- AssertionError Traceback (most recent call last) <ipython-input-3-ff0509141d7f> in <module>() ----> 1 test_det.test_random() ~\AppData\Local\Continuum\miniconda3\envs\forge\lib\site-packages\scipy\linalg\tests\test_basic.py in test_random(self) 907 d1 = det(a) 908 d2 = basic_det(a) --> 909 assert_almost_equal(d1, d2) 910 911 def test_random_complex(self): ~\AppData\Local\Continuum\miniconda3\envs\forge\lib\site-packages\numpy\testing\nose_tools\utils.py in assert_almost_equal(actual, desired, decimal, err_msg, verbose) 579 pass 580 if abs(desired - actual) >= 1.5 * 10.0**(-decimal): --> 581 raise AssertionError(_build_err_msg()) 582 583 AssertionError: Arrays are not almost equal to 7 decimals ACTUAL: 0.001303440758814572 DESIRED: -0.09307217461347188 Then the next test hangs for several minute, and I have to kill the process. scipy/linalg/tests/test_basic.py::TestDet::test_random_complex It also hangs when I call it directly from an interpreter. If I use just pip to install both numpy (numpy-1.14.2-cp36-none-win_amd64.whl) and scipy ( scipy-1.0.1-cp36-none-win_amd64.whl) then all of the tests pass. And now I can see the vendorized version of openBLAS for numpy in site-packags/numpy/.libs (41762KB) matches the openBLAS in scipy/extra-dll, the vendor alpha-numeric string is also the same: " BNVRK7633HSX7YVO2TADGR4A5KEKXJAW" Maybe this is very basic, and I shouldn't be asking. But I don't understand how to use conda-forge then with SciPy and NumPy on Windows. It seems like users should only use all pip or only the default "anaconda" channel. Or if using conda-forge on window, then only use NumPy without SciPy, but that also means other packages like statsmodels are out too. Also maybe this is a question for conda-forge and not scipy-dev. Again, so sorry if my question is out of place. I'm also sorry if this is received poorly. I am so happy and very grateful for all of the volunteer work that has gone into making SciPy and NumPy work on Windows. I remember the old days when I had to refer people to cgohlke's website. If there is anything I can do to help, I can try. I will take a look at reactivating the conda-forge build for win_amd64, I believe that would solve the problem. Also I will bring up the issue of dependency clashes with conda-forge as well. Thanks, Mark -- Mark Mikofski, PhD (2005) *Fiat Lux*

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SciPy 1.1.0rc1 release candidate
by Pauli Virtanen 18 Apr '18

18 Apr '18

-----BEGIN PGP SIGNED MESSAGE----- Hash: SHA256 Hi all, SciPy 1.1.0rc1 release candidate release is now available. Please try it out also against your own codes and report issues you find. Sources and binary wheels can be found at https://pypi.python.org/pypi/scipy and . To install with pip: pip install --pre --upgrade scipy Thanks to everyone who contributed to this release! Pauli =============================== SciPy 1.1.0 Release Notes (rc1) =============================== .. note:: Scipy 1.1.0 is not released yet! .. contents:: SciPy 1.1.0 is the culmination of 7 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 1.1.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. This release has improved but not necessarily 100% compatibility with the `PyPy <https://pypy.org/>`__ Python implementation. For running on PyPy, PyPy 6.0+ and Numpy 1.15.0+ are required. New features ============ `scipy.integrate` improvements - - ------------------------------ The argument ``tfirst`` has been added to the function `scipy.integrate.odeint`. This allows odeint to use the same user functions as `scipy.integrate.solve_ivp` and `scipy.integrate.ode` without the need for wrapping them in a function that swaps the first two arguments. Error messages from ``quad()`` are now clearer. `scipy.linalg` improvements - - --------------------------- The function `scipy.linalg.ldl` has been added for factorization of indefinite symmetric/hermitian matrices into triangular and block diagonal matrices. Python wrappers for LAPACK ``sygst``, ``hegst`` added in `scipy.linalg.lapack`. Added `scipy.linalg.null_space`, `scipy.linalg.cdf2rdf`, `scipy.linalg.rsf2csf`. `scipy.misc` improvements - - ------------------------- An electrocardiogram has been added as an example dataset for a one-dimensional signal. It can be accessed through `scipy.misc.electrocardiogram`. `scipy.ndimage` improvements - - ---------------------------- The routines `scipy.ndimage.binary_opening`, and `scipy.ndimage.binary_closing` now support masks and different border values. `scipy.optimize` improvements - - ----------------------------- The method ``trust-constr`` has been added to `scipy.optimize.minimize`. The method switches between two implementations depending on the problem definition. For equality constrained problems it is an implementation of a trust-region sequential quadratic programming solver and, when inequality constraints are imposed, it switches to a trust-region interior point method. Both methods are appropriate for large scale problems. Quasi-Newton options BFGS and SR1 were implemented and can be used to approximate second order derivatives for this new method. Also, finite-differences can be used to approximate either first-order or second-order derivatives. Random-to-Best/1/bin and Random-to-Best/1/exp mutation strategies were added to `scipy.optimize.differential_evolution` as ``randtobest1bin`` and ``randtobest1exp``, respectively. Note: These names were already in use but implemented a different mutation strategy. See `Backwards incompatible changes <#backwards-incompatible-changes>`__, below. The ``init`` keyword for the `scipy.optimize.differential_evolution` function can now accept an array. This array allows the user to specify the entire population. Add an ``adaptive`` option to Nelder-Mead to use step parameters adapted to the dimensionality of the problem. Minor improvements in `scipy.optimize.basinhopping`. `scipy.signal` improvements - - --------------------------- Three new functions for peak finding in one-dimensional arrays were added. `scipy.signal.find_peaks` searches for peaks (local maxima) based on simple value comparison of neighbouring samples and returns those peaks whose properties match optionally specified conditions for their height, prominence, width, threshold and distance to each other. `scipy.signal.peak_prominences` and `scipy.signal.peak_widths` can directly calculate the prominences or widths of known peaks. Added ZPK versions of frequency transformations: `scipy.signal.bilinear_zpk`, `scipy.signal.lp2bp_zpk`, `scipy.signal.lp2bs_zpk`, `scipy.signal.lp2hp_zpk`, `scipy.signal.lp2lp_zpk`. Added `scipy.signal.windows.dpss`, `scipy.signal.windows.general_cosine` and `scipy.signal.windows.general_hamming`. `scipy.sparse` improvements - - --------------------------- An in-place ``resize`` method has been added to all sparse matrix formats, which was only available for `scipy.sparse.dok_matrix` in previous releases. `scipy.special` improvements - - ---------------------------- Added Owen’s T function as `scipy.special.owens_t`. Accuracy improvements in ``chndtr``, ``digamma``, ``gammaincinv``, ``lambertw``, ``zetac``. `scipy.stats` improvements - - -------------------------- The Moyal distribution has been added as `scipy.stats.moyal`. Added the normal inverse Gaussian distribution as `scipy.stats.norminvgauss`. Deprecated features =================== The iterative linear equation solvers in `scipy.sparse.linalg` had a sub-optimal way of how absolute tolerance is considered. The default behavior will be changed in a future Scipy release to a more standard and less surprising one. To silence deprecation warnings, set the ``atol=`` parameter explicitly. `scipy.signal.windows.slepian` is deprecated, replaced by `scipy.signal.windows.dpss`. The window functions in `scipy.signal` are now available in `scipy.signal.windows`. They will remain also available in the old location in the `scipy.signal` namespace in future Scipy versions. However, importing them from `scipy.signal.windows` is preferred, and new window functions will be added only there. Indexing sparse matrices with floating-point numbers instead of integers is deprecated. The function `scipy.stats.itemfreq` is deprecated. Backwards incompatible changes ============================== Previously, `scipy.linalg.orth` used a singular value cutoff value appropriate for double precision numbers also for single-precision input. The cutoff value is now tunable, and the default has been changed to depend on the input data precision. In previous versions of Scipy, the ``randtobest1bin`` and ``randtobest1exp`` mutation strategies in `scipy.optimize.differential_evolution` were actually implemented using the Current-to-Best/1/bin and Current-to-Best/1/exp strategies, respectively. These strategies were renamed to ``currenttobest1bin`` and ``currenttobest1exp`` and the implementations of ``randtobest1bin`` and ``randtobest1exp`` strategies were corrected. Functions in the ndimage module now always return their output array. Before this most functions only returned the output array if it had been allocated by the function, and would return ``None`` if it had been provided by the user. Distance metrics in `scipy.spatial.distance` now require non-negative weights. `scipy.special.loggamma` returns now real-valued result when the input is real-valued. Other changes ============= When building on Linux with GNU compilers, the ``.so`` Python extension files now hide all symbols except those required by Python, which can avoid problems when embedding the Python interpreter. Authors ======= * Saurabh Agarwal + * Diogo Aguiam + * Joseph Albert + * Gerrit Ansmann + * Astrofysicus + * Jean-François B + * Vahan Babayan + * Alessandro Pietro Bardelli * Christoph Baumgarten + * Felix Berkenkamp * Lilian Besson + * Aditya Bharti + * Matthew Brett * Evgeni Burovski * CJ Carey * Martin Ø. Christensen + * Robert Cimrman * Vicky Close + * Peter Cock + * Philip DeBoer * Jaime Fernandez del Rio * Dieter Werthmüller + * Tom Donoghue + * Matt Dzugan + * Lars G + * Jacques Gaudin + * Andriy Gelman + * Sean Gillies + * Dezmond Goff * Christoph Gohlke * Ralf Gommers * Uri Goren + * Deepak Kumar Gouda + * Douglas Lessa Graciosa + * Matt Haberland * David Hagen * Charles Harris * Jordan Heemskerk + * Danny Hermes + * Stephan Hoyer + * Theodore Hu + * Jean-François B. + * Mads Jensen + * Jon Haitz Legarreta Gorroño + * Ben Jude + * Noel Kippers + * Julius Bier Kirkegaard + * Maria Knorps + * Mikkel Kristensen + * Eric Larson * Kasper Primdal Lauritzen + * Denis Laxalde * KangWon Lee + * Jan Lehky + * Jackie Leng + * P.L. Lim + * Nikolay Mayorov * Mihai Capotă + * Max Mikhaylov + * Mark Mikofski + * Jarrod Millman * Raden Muhammad + * Paul Nation * Andrew Nelson * Nico Schlömer * Joel Nothman * Kyle Oman + * Egor Panfilov + * Nick Papior * Anubhav Patel + * Oleksandr Pavlyk * Ilhan Polat * Robert Pollak + * Anant Prakash + * Aman Pratik * Sean Quinn + * Giftlin Rajaiah + * Tyler Reddy * Joscha Reimer * Antonio H Ribeiro + * Antonio Horta Ribeiro * Benjamin Rose + * Fabian Rost * Divakar Roy + * Scott Sievert * Leo Singer * Sourav Singh * Martino Sorbaro + * Eric Stansifer + * Martin Thoma * Phil Tooley + * Piotr Uchwat + * Paul van Mulbregt * Pauli Virtanen * Stefan van der Walt * Warren Weckesser * Florian Weimer + * Eric Wieser * Josh Wilson * Ted Ying + * Evgeny Zhurko * Zé Vinícius * @awakenting + * @endolith * @FormerPhysicist + * @gaulinmp + * @hugovk * @ksemb + * @kshitij12345 + * @luzpaz + * @NKrvavica + * @rafalalgo + * @samyak0210 + * @soluwalana + * @sudheerachary + * @Tokixix + * @tttthomasssss + * @vkk800 + * @xoviat * @ziejcow + A total of 122 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 1.1.0 - - ----------------------- * `#979 <https://github.com/scipy/scipy/issues/979>`__: Allow Hermitian matrices in lobpcg (Trac #452) * `#2694 <https://github.com/scipy/scipy/issues/2694>`__: Solution of iterative solvers can be less accurate than tolerance... * `#3164 <https://github.com/scipy/scipy/issues/3164>`__: RectBivariateSpline usage inconsistent with other interpolation... * `#4161 <https://github.com/scipy/scipy/issues/4161>`__: Missing ITMAX optional argument in scipy.optimize.nnls * `#4354 <https://github.com/scipy/scipy/issues/4354>`__: signal.slepian should use definition of digital window * `#4866 <https://github.com/scipy/scipy/issues/4866>`__: Shouldn't scipy.linalg.sqrtm raise an error if matrix is singular? * `#4953 <https://github.com/scipy/scipy/issues/4953>`__: The dirichlet distribution unnecessarily requires strictly positive... * `#5336 <https://github.com/scipy/scipy/issues/5336>`__: sqrtm on a diagonal matrix can warn "Matrix is singular and may... * `#5922 <https://github.com/scipy/scipy/issues/5922>`__: Suboptimal convergence of Halley's method? * `#6036 <https://github.com/scipy/scipy/issues/6036>`__: Incorrect edge case in scipy.stats.triang.pdf * `#6202 <https://github.com/scipy/scipy/issues/6202>`__: Enhancement: Add LDLt factorization to scipy * `#6589 <https://github.com/scipy/scipy/issues/6589>`__: sparse.random with custom rvs callable does pass on arg to subclass * `#6654 <https://github.com/scipy/scipy/issues/6654>`__: Spearman's rank correlation coefficient slow with nan values... * `#6794 <https://github.com/scipy/scipy/issues/6794>`__: Remove NumarrayType struct with numarray type names from ndimage * `#7136 <https://github.com/scipy/scipy/issues/7136>`__: The dirichlet distribution unnecessarily rejects probabilities... * `#7169 <https://github.com/scipy/scipy/issues/7169>`__: Will it be possible to add LDL' factorization for Hermitian indefinite... * `#7291 <https://github.com/scipy/scipy/issues/7291>`__: fsolve docs should say it doesn't handle over- or under-determined... * `#7453 <https://github.com/scipy/scipy/issues/7453>`__: binary_opening/binary_closing missing arguments * `#7500 <https://github.com/scipy/scipy/issues/7500>`__: linalg.solve test failure on OS X with Accelerate * `#7555 <https://github.com/scipy/scipy/issues/7555>`__: Integratig a function with singularities using the quad routine * `#7624 <https://github.com/scipy/scipy/issues/7624>`__: allow setting both absolute and relative tolerance of sparse... * `#7724 <https://github.com/scipy/scipy/issues/7724>`__: odeint documentation refers to t0 instead of t * `#7746 <https://github.com/scipy/scipy/issues/7746>`__: False CDF values for skew normal distribution * `#7750 <https://github.com/scipy/scipy/issues/7750>`__: mstats.winsorize documentation needs clarification * `#7787 <https://github.com/scipy/scipy/issues/7787>`__: Documentation error in spherical Bessel, Neumann, modified spherical... * `#7836 <https://github.com/scipy/scipy/issues/7836>`__: Scipy mmwrite incorrectly writes the zeros for skew-symmetric,... * `#7839 <https://github.com/scipy/scipy/issues/7839>`__: sqrtm is unable to compute square root of zero matrix * `#7847 <https://github.com/scipy/scipy/issues/7847>`__: solve is very slow since #6775 * `#7888 <https://github.com/scipy/scipy/issues/7888>`__: Scipy 1.0.0b1 prints spurious DVODE/ZVODE/lsoda messages * `#7909 <https://github.com/scipy/scipy/issues/7909>`__: bessel kv function in 0 is nan * `#7915 <https://github.com/scipy/scipy/issues/7915>`__: LinearOperator's __init__ runs two times when instantiating the... * `#7958 <https://github.com/scipy/scipy/issues/7958>`__: integrate.quad could use better error messages when given bad... * `#7968 <https://github.com/scipy/scipy/issues/7968>`__: integrate.quad handles decreasing limits (b<a) inconsistently * `#7970 <https://github.com/scipy/scipy/issues/7970>`__: ENH: matching return dtype for loggamma/gammaln * `#7991 <https://github.com/scipy/scipy/issues/7991>`__: `lfilter` segfaults for integer inputs * `#8076 <https://github.com/scipy/scipy/issues/8076>`__: "make dist" for the docs doesn't complete cleanly * `#8080 <https://github.com/scipy/scipy/issues/8080>`__: Use JSON in `special/_generate_pyx.py`? * `#8127 <https://github.com/scipy/scipy/issues/8127>`__: scipy.special.psi(x) very slow for some values of x * `#8145 <https://github.com/scipy/scipy/issues/8145>`__: BUG: ndimage geometric_transform and zoom using deprecated NumPy... * `#8158 <https://github.com/scipy/scipy/issues/8158>`__: BUG: romb print output requires correction * `#8181 <https://github.com/scipy/scipy/issues/8181>`__: loadmat() raises TypeError instead of FileNotFound when reading... * `#8228 <https://github.com/scipy/scipy/issues/8228>`__: bug for log1p on csr_matrix * `#8235 <https://github.com/scipy/scipy/issues/8235>`__: scipy.stats multinomial pmf return nan * `#8271 <https://github.com/scipy/scipy/issues/8271>`__: scipy.io.mmwrite raises type error for uint16 * `#8288 <https://github.com/scipy/scipy/issues/8288>`__: Should tests be written for scipy.sparse.linalg.isolve.minres... * `#8298 <https://github.com/scipy/scipy/issues/8298>`__: Broken links on scipy API web page * `#8329 <https://github.com/scipy/scipy/issues/8329>`__: `_gels` fails for fat A matrix * `#8346 <https://github.com/scipy/scipy/issues/8346>`__: Avoidable overflow in scipy.special.binom(n, k) * `#8371 <https://github.com/scipy/scipy/issues/8371>`__: BUG: special: zetac(x) returns 0 for x < -30.8148 * `#8382 <https://github.com/scipy/scipy/issues/8382>`__: collections.OrderedDict in test_mio.py * `#8492 <https://github.com/scipy/scipy/issues/8492>`__: Missing documentation for `brute_force` parameter in scipy.ndimage.morphology * `#8532 <https://github.com/scipy/scipy/issues/8532>`__: leastsq needlessly appends extra dimension for scalar problems * `#8544 <https://github.com/scipy/scipy/issues/8544>`__: [feature request] Convert complex diagonal form to real block... * `#8561 <https://github.com/scipy/scipy/issues/8561>`__: [Bug?] Example of Bland's Rule for optimize.linprog (simplex)... * `#8562 <https://github.com/scipy/scipy/issues/8562>`__: CI: Appveyor builds fail because it can't import ConvexHull from... * `#8576 <https://github.com/scipy/scipy/issues/8576>`__: BUG: optimize: `show_options(solver='minimize', method='Newton-CG')`... * `#8603 <https://github.com/scipy/scipy/issues/8603>`__: test_roots_gegenbauer/chebyt/chebyc failures on manylinux * `#8604 <https://github.com/scipy/scipy/issues/8604>`__: Test failures in scipy.sparse test_inplace_dense * `#8616 <https://github.com/scipy/scipy/issues/8616>`__: special: ellpj.c code can be cleaned up a bit * `#8625 <https://github.com/scipy/scipy/issues/8625>`__: scipy 1.0.1 no longer allows overwriting variables in netcdf... * `#8629 <https://github.com/scipy/scipy/issues/8629>`__: gcrotmk.test_atol failure with MKL * `#8632 <https://github.com/scipy/scipy/issues/8632>`__: Sigma clipping on data with the same value * `#8646 <https://github.com/scipy/scipy/issues/8646>`__: scipy.special.sinpi test failures in test_zero_sign on old MSVC * `#8663 <https://github.com/scipy/scipy/issues/8663>`__: linprog with method=interior-point produced incorrect answer... * `#8694 <https://github.com/scipy/scipy/issues/8694>`__: linalg:TestSolve.test_all_type_size_routine_combinations fails... * `#8703 <https://github.com/scipy/scipy/issues/8703>`__: Q: Does runtests.py --refguide-check need env (or other) variables... Pull requests for 1.1.0 - - ----------------------- * `#6590 <https://github.com/scipy/scipy/pull/6590>`__: BUG: sparse: fix custom rvs callable argument in sparse.random * `#7004 <https://github.com/scipy/scipy/pull/7004>`__: ENH: scipy.linalg.eigsh cannot get all eigenvalues * `#7120 <https://github.com/scipy/scipy/pull/7120>`__: ENH: implemented Owen's T function * `#7483 <https://github.com/scipy/scipy/pull/7483>`__: ENH: Addition/multiplication operators for StateSpace systems * `#7566 <https://github.com/scipy/scipy/pull/7566>`__: Informative exception when passing a sparse matrix * `#7592 <https://github.com/scipy/scipy/pull/7592>`__: Adaptive Nelder-Mead * `#7729 <https://github.com/scipy/scipy/pull/7729>`__: WIP: ENH: optimize: large-scale constrained optimization algorithms... * `#7802 <https://github.com/scipy/scipy/pull/7802>`__: MRG: Add dpss window function * `#7803 <https://github.com/scipy/scipy/pull/7803>`__: DOC: Add examples to spatial.distance * `#7821 <https://github.com/scipy/scipy/pull/7821>`__: Add Returns section to the docstring * `#7833 <https://github.com/scipy/scipy/pull/7833>`__: ENH: Performance improvements in scipy.linalg.special_matrices * `#7864 <https://github.com/scipy/scipy/pull/7864>`__: MAINT: sparse: Simplify sputils.isintlike * `#7865 <https://github.com/scipy/scipy/pull/7865>`__: ENH: Improved speed of copy into L, U matrices * `#7871 <https://github.com/scipy/scipy/pull/7871>`__: ENH: sparse: Add 64-bit integer to sparsetools * `#7879 <https://github.com/scipy/scipy/pull/7879>`__: ENH: re-enabled old sv lapack routine as defaults * `#7889 <https://github.com/scipy/scipy/pull/7889>`__: DOC: Show probability density functions as math * `#7900 <https://github.com/scipy/scipy/pull/7900>`__: API: Soft deprecate signal.* windows * `#7910 <https://github.com/scipy/scipy/pull/7910>`__: ENH: allow `sqrtm` to compute the root of some singular matrices * `#7911 <https://github.com/scipy/scipy/pull/7911>`__: MAINT: Avoid unnecessary array copies in xdist * `#7913 <https://github.com/scipy/scipy/pull/7913>`__: DOC: Clarifies the meaning of `initial` of scipy.integrate.cumtrapz() * `#7916 <https://github.com/scipy/scipy/pull/7916>`__: BUG: sparse.linalg: fix wrong use of __new__ in LinearOperator * `#7921 <https://github.com/scipy/scipy/pull/7921>`__: BENCH: split spatial benchmark imports * `#7927 <https://github.com/scipy/scipy/pull/7927>`__: ENH: added sygst/hegst routines to lapack * `#7934 <https://github.com/scipy/scipy/pull/7934>`__: MAINT: add `io/_test_fortranmodule` to `.gitignore` * `#7936 <https://github.com/scipy/scipy/pull/7936>`__: DOC: Fixed typo in scipy.special.roots_jacobi documentation * `#7937 <https://github.com/scipy/scipy/pull/7937>`__: MAINT: special: Mark a test that fails on i686 as a known failure. * `#7941 <https://github.com/scipy/scipy/pull/7941>`__: ENH: LDLt decomposition for indefinite symmetric/hermitian matrices * `#7945 <https://github.com/scipy/scipy/pull/7945>`__: ENH: Implement reshape method on sparse matrices * `#7947 <https://github.com/scipy/scipy/pull/7947>`__: DOC: update docs on releasing and installing/upgrading * `#7954 <https://github.com/scipy/scipy/pull/7954>`__: Basin-hopping changes * `#7964 <https://github.com/scipy/scipy/pull/7964>`__: BUG: test_falker not robust against numerical fuss in eigenvalues * `#7967 <https://github.com/scipy/scipy/pull/7967>`__: QUADPACK Errors - human friendly errors to replace 'Invalid Input' * `#7975 <https://github.com/scipy/scipy/pull/7975>`__: Make sure integrate.quad doesn't double-count singular points * `#7978 <https://github.com/scipy/scipy/pull/7978>`__: TST: ensure negative weights are not allowed in distance metrics * `#7980 <https://github.com/scipy/scipy/pull/7980>`__: MAINT: Truncate the warning msg about ill-conditioning * `#7981 <https://github.com/scipy/scipy/pull/7981>`__: BUG: special: fix hyp2f1 behavior in certain circumstances * `#7983 <https://github.com/scipy/scipy/pull/7983>`__: ENH: special: Add a real dispatch to `loggamma` * `#7989 <https://github.com/scipy/scipy/pull/7989>`__: BUG: special: make `kv` return `inf` at a zero real argument * `#7990 <https://github.com/scipy/scipy/pull/7990>`__: TST: special: test ufuncs in special at `nan` inputs * `#7994 <https://github.com/scipy/scipy/pull/7994>`__: DOC: special: fix typo in spherical Bessel function documentation * `#7995 <https://github.com/scipy/scipy/pull/7995>`__: ENH: linalg: add null_space for computing null spaces via svd * `#7999 <https://github.com/scipy/scipy/pull/7999>`__: BUG: optimize: Protect _minpack calls with a lock. * `#8003 <https://github.com/scipy/scipy/pull/8003>`__: MAINT: consolidate c99 compatibility * `#8004 <https://github.com/scipy/scipy/pull/8004>`__: TST: special: get all `cython_special` tests running again * `#8006 <https://github.com/scipy/scipy/pull/8006>`__: MAINT: Consolidate an additional _c99compat.h * `#8011 <https://github.com/scipy/scipy/pull/8011>`__: Add new example of integrate.quad * `#8015 <https://github.com/scipy/scipy/pull/8015>`__: DOC: special: remove `jn` from the refguide (again) * `#8018 <https://github.com/scipy/scipy/pull/8018>`__: BUG - Issue with uint datatypes for array in get_index_dtype * `#8021 <https://github.com/scipy/scipy/pull/8021>`__: DOC: spatial: Simplify Delaunay plotting * `#8024 <https://github.com/scipy/scipy/pull/8024>`__: Documentation fix * `#8027 <https://github.com/scipy/scipy/pull/8027>`__: BUG: io.matlab: fix saving unicode matrix names on py2 * `#8028 <https://github.com/scipy/scipy/pull/8028>`__: BUG: special: some fixes for `lambertw` * `#8030 <https://github.com/scipy/scipy/pull/8030>`__: MAINT: Bump Cython version * `#8034 <https://github.com/scipy/scipy/pull/8034>`__: BUG: sparse.linalg: fix corner-case bug in expm * `#8035 <https://github.com/scipy/scipy/pull/8035>`__: MAINT: special: remove complex division hack * `#8038 <https://github.com/scipy/scipy/pull/8038>`__: ENH: Cythonize pyx files if pxd dependencies change * `#8042 <https://github.com/scipy/scipy/pull/8042>`__: TST: stats: reduce required precision in test_fligner * `#8043 <https://github.com/scipy/scipy/pull/8043>`__: TST: Use diff. values for decimal keyword for single and doubles * `#8044 <https://github.com/scipy/scipy/pull/8044>`__: TST: accuracy of tests made different for singles and doubles * `#8049 <https://github.com/scipy/scipy/pull/8049>`__: Unhelpful error message when calling scipy.sparse.save_npz on... * `#8052 <https://github.com/scipy/scipy/pull/8052>`__: TST: spatial: add a regression test for gh-8051 * `#8059 <https://github.com/scipy/scipy/pull/8059>`__: BUG: special: fix ufunc results for `nan` arguments * `#8066 <https://github.com/scipy/scipy/pull/8066>`__: MAINT: special: reimplement inverses of incomplete gamma functions * `#8072 <https://github.com/scipy/scipy/pull/8072>`__: Example for scipy.fftpack.ifft, https://github.com/scipy/scipy/issues/7168 * `#8073 <https://github.com/scipy/scipy/pull/8073>`__: Example for ifftn, https://github.com/scipy/scipy/issues/7168 * `#8078 <https://github.com/scipy/scipy/pull/8078>`__: Link to CoC in contributing.rst doc * `#8085 <https://github.com/scipy/scipy/pull/8085>`__: BLD: Fix npy_isnan of integer variables in cephes * `#8088 <https://github.com/scipy/scipy/pull/8088>`__: DOC: note version for which new attributes have been added to... * `#8090 <https://github.com/scipy/scipy/pull/8090>`__: BUG: special: add nan check to `_legacy_cast_check` functions * `#8091 <https://github.com/scipy/scipy/pull/8091>`__: Doxy Typos + trivial comment typos (2nd attempt) * `#8096 <https://github.com/scipy/scipy/pull/8096>`__: TST: special: simplify `Arg` * `#8101 <https://github.com/scipy/scipy/pull/8101>`__: MAINT: special: run `_generate_pyx.py` when `add_newdocs.py`... * `#8104 <https://github.com/scipy/scipy/pull/8104>`__: Input checking for scipy.sparse.linalg.inverse() * `#8105 <https://github.com/scipy/scipy/pull/8105>`__: DOC: special: Update the 'euler' docstring. * `#8109 <https://github.com/scipy/scipy/pull/8109>`__: MAINT: fixing code comments and hyp2f1 docstring: see issues... * `#8112 <https://github.com/scipy/scipy/pull/8112>`__: More trivial typos * `#8113 <https://github.com/scipy/scipy/pull/8113>`__: MAINT: special: generate test data npz files in setup.py and... * `#8116 <https://github.com/scipy/scipy/pull/8116>`__: DOC: add build instructions * `#8120 <https://github.com/scipy/scipy/pull/8120>`__: DOC: Clean up README * `#8121 <https://github.com/scipy/scipy/pull/8121>`__: DOC: Add missing colons in docstrings * `#8123 <https://github.com/scipy/scipy/pull/8123>`__: BLD: update Bento build config files for recent C99 changes. * `#8124 <https://github.com/scipy/scipy/pull/8124>`__: Change to avoid use of `fmod` in scipy.signal.chebwin * `#8126 <https://github.com/scipy/scipy/pull/8126>`__: Added examples for mode arg in geometric_transform * `#8128 <https://github.com/scipy/scipy/pull/8128>`__: relax relative tolerance parameter in TestMinumumPhase.test_hilbert * `#8129 <https://github.com/scipy/scipy/pull/8129>`__: ENH: special: use rational approximation for `digamma` on `[1,... * `#8137 <https://github.com/scipy/scipy/pull/8137>`__: DOC Correct matrix width * `#8141 <https://github.com/scipy/scipy/pull/8141>`__: MAINT: optimize: remove unused `__main__` code in L-BSGS-B * `#8147 <https://github.com/scipy/scipy/pull/8147>`__: BLD: update Bento build for removal of .npz scipy.special test... * `#8148 <https://github.com/scipy/scipy/pull/8148>`__: Alias hanning as an explanatory function of hann * `#8149 <https://github.com/scipy/scipy/pull/8149>`__: MAINT: special: small fixes for `digamma` * `#8159 <https://github.com/scipy/scipy/pull/8159>`__: Update version classifiers * `#8164 <https://github.com/scipy/scipy/pull/8164>`__: BUG: riccati solvers don't catch ill-conditioned problems sufficiently... * `#8168 <https://github.com/scipy/scipy/pull/8168>`__: DOC: release note for sparse resize methods * `#8170 <https://github.com/scipy/scipy/pull/8170>`__: BUG: correctly pad netCDF files with null bytes * `#8171 <https://github.com/scipy/scipy/pull/8171>`__: ENH added normal inverse gaussian distribution to scipy.stats * `#8175 <https://github.com/scipy/scipy/pull/8175>`__: DOC: Add example to scipy.ndimage.zoom * `#8177 <https://github.com/scipy/scipy/pull/8177>`__: MAINT: diffev small speedup in ensure constraint * `#8178 <https://github.com/scipy/scipy/pull/8178>`__: FIX: linalg._qz String formatter syntax error * `#8179 <https://github.com/scipy/scipy/pull/8179>`__: TST: Added pdist to asv spatial benchmark suite * `#8180 <https://github.com/scipy/scipy/pull/8180>`__: TST: ensure constraint test improved * `#8183 <https://github.com/scipy/scipy/pull/8183>`__: 0d conj correlate * `#8186 <https://github.com/scipy/scipy/pull/8186>`__: BUG: special: fix derivative of `spherical_jn(1, 0)` * `#8194 <https://github.com/scipy/scipy/pull/8194>`__: Fix warning message * `#8196 <https://github.com/scipy/scipy/pull/8196>`__: BUG: correctly handle inputs with nan's and ties in spearmanr * `#8198 <https://github.com/scipy/scipy/pull/8198>`__: MAINT: stats.triang edge case fixes #6036 * `#8200 <https://github.com/scipy/scipy/pull/8200>`__: DOC: Completed "Examples" sections of all linalg funcs * `#8201 <https://github.com/scipy/scipy/pull/8201>`__: MAINT: stats.trapz edge cases * `#8204 <https://github.com/scipy/scipy/pull/8204>`__: ENH: sparse.linalg/lobpcg: change .T to .T.conj() to support... * `#8206 <https://github.com/scipy/scipy/pull/8206>`__: MAINT: missed triang edge case. * `#8214 <https://github.com/scipy/scipy/pull/8214>`__: BUG: Fix memory corruption in linalg._decomp_update C extension * `#8222 <https://github.com/scipy/scipy/pull/8222>`__: DOC: recommend scipy.integrate.solve_ivp * `#8223 <https://github.com/scipy/scipy/pull/8223>`__: ENH: added Moyal distribution to scipy.stats * `#8232 <https://github.com/scipy/scipy/pull/8232>`__: BUG: sparse: Use deduped data for numpy ufuncs * `#8236 <https://github.com/scipy/scipy/pull/8236>`__: Fix #8235 * `#8253 <https://github.com/scipy/scipy/pull/8253>`__: BUG: optimize: fix bug related with function call calculation... * `#8264 <https://github.com/scipy/scipy/pull/8264>`__: ENH: Extend peak finding capabilities in scipy.signal * `#8273 <https://github.com/scipy/scipy/pull/8273>`__: BUG fixed printing of convergence message in minimize_scalar... * `#8276 <https://github.com/scipy/scipy/pull/8276>`__: DOC: Add notes to explain constrains on overwrite_<> * `#8279 <https://github.com/scipy/scipy/pull/8279>`__: CI: fixing doctests * `#8282 <https://github.com/scipy/scipy/pull/8282>`__: MAINT: weightedtau, change search for nan * `#8287 <https://github.com/scipy/scipy/pull/8287>`__: Improving documentation of solve_ivp and the underlying solvers * `#8291 <https://github.com/scipy/scipy/pull/8291>`__: DOC: fix non-ascii characters in docstrings which broke the doc... * `#8292 <https://github.com/scipy/scipy/pull/8292>`__: CI: use numpy 1.13 for refguide check build * `#8296 <https://github.com/scipy/scipy/pull/8296>`__: Fixed bug reported in issue #8181 * `#8297 <https://github.com/scipy/scipy/pull/8297>`__: DOC: Examples for linalg/decomp eigvals function * `#8300 <https://github.com/scipy/scipy/pull/8300>`__: MAINT: Housekeeping for minimizing the linalg compiler warnings * `#8301 <https://github.com/scipy/scipy/pull/8301>`__: DOC: make public API documentation cross-link to refguide. * `#8302 <https://github.com/scipy/scipy/pull/8302>`__: make sure _onenorm_matrix_power_nnm actually returns a float * `#8313 <https://github.com/scipy/scipy/pull/8313>`__: Change copyright to outdated 2008-2016 to 2008-year * `#8315 <https://github.com/scipy/scipy/pull/8315>`__: TST: Add tests for `scipy.sparse.linalg.isolve.minres` * `#8318 <https://github.com/scipy/scipy/pull/8318>`__: ENH: odeint: Add the argument 'tfirst' to odeint. * `#8328 <https://github.com/scipy/scipy/pull/8328>`__: ENH: optimize: ``trust-constr`` optimization algorithms [GSoC... * `#8330 <https://github.com/scipy/scipy/pull/8330>`__: ENH: add a maxiter argument to NNLS * `#8331 <https://github.com/scipy/scipy/pull/8331>`__: DOC: tweak the Moyal distribution docstring * `#8333 <https://github.com/scipy/scipy/pull/8333>`__: FIX: Rewrapped ?gels and ?gels_lwork routines * `#8336 <https://github.com/scipy/scipy/pull/8336>`__: MAINT: integrate: handle b < a in quad * `#8337 <https://github.com/scipy/scipy/pull/8337>`__: BUG: special: Ensure zetac(1) returns inf. * `#8347 <https://github.com/scipy/scipy/pull/8347>`__: BUG: Fix overflow in special.binom. Issue #8346 * `#8356 <https://github.com/scipy/scipy/pull/8356>`__: DOC: Corrected Documentation Issue #7750 winsorize function * `#8358 <https://github.com/scipy/scipy/pull/8358>`__: ENH: stats: Use explicit MLE formulas in lognorm.fit and expon.fit * `#8374 <https://github.com/scipy/scipy/pull/8374>`__: BUG: gh7854, maxiter for l-bfgs-b closes #7854 * `#8379 <https://github.com/scipy/scipy/pull/8379>`__: CI: enable gcov coverage on travis * `#8383 <https://github.com/scipy/scipy/pull/8383>`__: Removed collections.OrderedDict import ignore. * `#8384 <https://github.com/scipy/scipy/pull/8384>`__: TravisCI: tool pep8 is now pycodestyle * `#8387 <https://github.com/scipy/scipy/pull/8387>`__: MAINT: special: remove unused specfun code for Struve functions * `#8393 <https://github.com/scipy/scipy/pull/8393>`__: DOC: Replace old type names in ndimage tutorial. * `#8400 <https://github.com/scipy/scipy/pull/8400>`__: Fix tolerance specification in sparse.linalg iterative solvers * `#8402 <https://github.com/scipy/scipy/pull/8402>`__: MAINT: Some small cleanups in ndimage. * `#8403 <https://github.com/scipy/scipy/pull/8403>`__: FIX: Make scipy.optimize.zeros run under PyPy * `#8407 <https://github.com/scipy/scipy/pull/8407>`__: BUG: sparse.linalg: fix termination bugs for cg, cgs * `#8409 <https://github.com/scipy/scipy/pull/8409>`__: MAINT: special: add a `.pxd` file for Cephes functions * `#8412 <https://github.com/scipy/scipy/pull/8412>`__: MAINT: special: remove `cephes/protos.h` * `#8421 <https://github.com/scipy/scipy/pull/8421>`__: Setting "unknown" message in OptimizeResult when calling MINPACK. * `#8423 <https://github.com/scipy/scipy/pull/8423>`__: FIX: Handle unsigned integers in mmio * `#8426 <https://github.com/scipy/scipy/pull/8426>`__: DOC: correct FAQ entry on Apache license compatibility. Closes... * `#8433 <https://github.com/scipy/scipy/pull/8433>`__: MAINT: add `.pytest_cache` to the `.gitignore` * `#8436 <https://github.com/scipy/scipy/pull/8436>`__: MAINT: scipy.sparse: less copies at transpose method * `#8437 <https://github.com/scipy/scipy/pull/8437>`__: BUG: correct behavior for skew-symmetric matrices in io.mmwrite * `#8440 <https://github.com/scipy/scipy/pull/8440>`__: DOC:Add examples to integrate.quadpack docstrings * `#8441 <https://github.com/scipy/scipy/pull/8441>`__: BUG: sparse.linalg/gmres: deal with exact breakdown in gmres * `#8442 <https://github.com/scipy/scipy/pull/8442>`__: MAINT: special: clean up Cephes header files * `#8448 <https://github.com/scipy/scipy/pull/8448>`__: TST: Generalize doctest stopwords .axis( .plot( * `#8457 <https://github.com/scipy/scipy/pull/8457>`__: MAINT: special: use JSON for function signatures in `_generate_pyx.py` * `#8461 <https://github.com/scipy/scipy/pull/8461>`__: MAINT: Simplify return value of ndimage functions. * `#8464 <https://github.com/scipy/scipy/pull/8464>`__: MAINT: Trivial typos * `#8474 <https://github.com/scipy/scipy/pull/8474>`__: BUG: spatial: make qhull.pyx more pypy-friendly * `#8476 <https://github.com/scipy/scipy/pull/8476>`__: TST: _lib: disable refcounting tests on PyPy * `#8479 <https://github.com/scipy/scipy/pull/8479>`__: BUG: io/matlab: fix issues in matlab i/o on pypy * `#8481 <https://github.com/scipy/scipy/pull/8481>`__: DOC: Example for signal.cmplx_sort * `#8482 <https://github.com/scipy/scipy/pull/8482>`__: TST: integrate: use integers instead of PyCapsules to store pointers * `#8483 <https://github.com/scipy/scipy/pull/8483>`__: ENH: io/netcdf: make mmap=False the default on PyPy * `#8484 <https://github.com/scipy/scipy/pull/8484>`__: BUG: io/matlab: work around issue in to_writeable on PyPy * `#8488 <https://github.com/scipy/scipy/pull/8488>`__: MAINT: special: add const/static specifiers where possible * `#8489 <https://github.com/scipy/scipy/pull/8489>`__: BUG: ENH: use common halley's method instead of parabolic variant * `#8491 <https://github.com/scipy/scipy/pull/8491>`__: DOC: fix typos * `#8496 <https://github.com/scipy/scipy/pull/8496>`__: ENH: special: make Chebyshev nodes symmetric * `#8501 <https://github.com/scipy/scipy/pull/8501>`__: BUG: stats: Split the integral used to compute skewnorm.cdf. * `#8502 <https://github.com/scipy/scipy/pull/8502>`__: WIP: Port CircleCI to v2 * `#8507 <https://github.com/scipy/scipy/pull/8507>`__: DOC: Add missing description to `brute_force` parameter. * `#8509 <https://github.com/scipy/scipy/pull/8509>`__: BENCH: forgot to add nelder-mead to list of methods * `#8512 <https://github.com/scipy/scipy/pull/8512>`__: MAINT: Move spline interpolation code to spline.c * `#8513 <https://github.com/scipy/scipy/pull/8513>`__: TST: special: mark a slow test as xslow * `#8514 <https://github.com/scipy/scipy/pull/8514>`__: CircleCI: Share data between jobs * `#8515 <https://github.com/scipy/scipy/pull/8515>`__: ENH: special: improve accuracy of `zetac` for negative arguments * `#8520 <https://github.com/scipy/scipy/pull/8520>`__: TST: Decrease the array sizes for two linalg tests * `#8522 <https://github.com/scipy/scipy/pull/8522>`__: TST: special: restrict range of `test_besselk`/`test_besselk_int` * `#8527 <https://github.com/scipy/scipy/pull/8527>`__: Documentation - example added for voronoi_plot_2d * `#8528 <https://github.com/scipy/scipy/pull/8528>`__: DOC: Better, shared docstrings in ndimage * `#8533 <https://github.com/scipy/scipy/pull/8533>`__: BUG: Fix PEP8 errors introduced in #8528. * `#8534 <https://github.com/scipy/scipy/pull/8534>`__: ENH: Expose additional window functions * `#8538 <https://github.com/scipy/scipy/pull/8538>`__: MAINT: Fix a couple mistakes in .pyf files. * `#8540 <https://github.com/scipy/scipy/pull/8540>`__: ENH: interpolate: allow string aliases in make_interp_spline... * `#8541 <https://github.com/scipy/scipy/pull/8541>`__: ENH: Cythonize peak_prominences * `#8542 <https://github.com/scipy/scipy/pull/8542>`__: Remove numerical arguments from convolve2d / correlate2d * `#8546 <https://github.com/scipy/scipy/pull/8546>`__: ENH: New arguments, documentation, and tests for ndimage.binary_opening * `#8547 <https://github.com/scipy/scipy/pull/8547>`__: Giving both size and input now raises UserWarning (#7334) * `#8549 <https://github.com/scipy/scipy/pull/8549>`__: DOC: stats: invweibull is also known as Frechet or type II extreme... * `#8550 <https://github.com/scipy/scipy/pull/8550>`__: add cdf2rdf function * `#8551 <https://github.com/scipy/scipy/pull/8551>`__: ENH: Port of most of the dd_real part of the qd high-precision... * `#8553 <https://github.com/scipy/scipy/pull/8553>`__: Note in docs to address issue #3164. * `#8554 <https://github.com/scipy/scipy/pull/8554>`__: ENH: stats: Use explicit MLE formulas in uniform.fit() * `#8555 <https://github.com/scipy/scipy/pull/8555>`__: MAINT: adjust benchmark config * `#8557 <https://github.com/scipy/scipy/pull/8557>`__: [DOC]: fix Nakagami density docstring * `#8559 <https://github.com/scipy/scipy/pull/8559>`__: DOC: Fix docstring of diric(x, n) * `#8563 <https://github.com/scipy/scipy/pull/8563>`__: [DOC]: fix gamma density docstring * `#8564 <https://github.com/scipy/scipy/pull/8564>`__: BLD: change default Python version for doc build from 2.7 to... * `#8568 <https://github.com/scipy/scipy/pull/8568>`__: BUG: Fixes Bland's Rule for pivot row/leaving variable, closes... * `#8572 <https://github.com/scipy/scipy/pull/8572>`__: ENH: Add previous/next to interp1d * `#8578 <https://github.com/scipy/scipy/pull/8578>`__: Example for linalg.eig() * `#8580 <https://github.com/scipy/scipy/pull/8580>`__: DOC: update link to asv docs * `#8584 <https://github.com/scipy/scipy/pull/8584>`__: filter_design: switch to explicit arguments, keeping None as... * `#8586 <https://github.com/scipy/scipy/pull/8586>`__: DOC: stats: Add parentheses that were missing in the exponnorm... * `#8587 <https://github.com/scipy/scipy/pull/8587>`__: TST: add benchmark for newton, secant, halley * `#8588 <https://github.com/scipy/scipy/pull/8588>`__: DOC: special: Remove heaviside from "functions not in special"... * `#8591 <https://github.com/scipy/scipy/pull/8591>`__: DOC: cdf2rdf Added version info and "See also" * `#8594 <https://github.com/scipy/scipy/pull/8594>`__: ENH: Cythonize peak_widths * `#8595 <https://github.com/scipy/scipy/pull/8595>`__: MAINT/ENH/BUG/TST: cdf2rdf: Address review comments made after... * `#8597 <https://github.com/scipy/scipy/pull/8597>`__: DOC: add versionadded 1.1.0 for new keywords in ndimage.morphology * `#8605 <https://github.com/scipy/scipy/pull/8605>`__: MAINT: special: improve implementations of `sinpi` and `cospi` * `#8607 <https://github.com/scipy/scipy/pull/8607>`__: MAINT: add 2D benchmarks for convolve * `#8608 <https://github.com/scipy/scipy/pull/8608>`__: FIX: Fix int check * `#8613 <https://github.com/scipy/scipy/pull/8613>`__: fix typo in doc of signal.peak_widths * `#8615 <https://github.com/scipy/scipy/pull/8615>`__: TST: fix failing linalg.qz float32 test by decreasing precision. * `#8617 <https://github.com/scipy/scipy/pull/8617>`__: MAINT: clean up code in ellpj.c * `#8618 <https://github.com/scipy/scipy/pull/8618>`__: add fsolve docs it doesn't handle over- or under-determined problems * `#8620 <https://github.com/scipy/scipy/pull/8620>`__: DOC: add note on dtype attribute of aslinearoperator() argument * `#8627 <https://github.com/scipy/scipy/pull/8627>`__: ENH: Add example 1D signal (ECG) to scipy.misc * `#8630 <https://github.com/scipy/scipy/pull/8630>`__: ENH: Remove unnecessary copying in stats.percentileofscore * `#8631 <https://github.com/scipy/scipy/pull/8631>`__: BLD: fix pdf doc build. closes gh-8076 * `#8633 <https://github.com/scipy/scipy/pull/8633>`__: BUG: fix regression in `io.netcdf_file` with append mode. * `#8635 <https://github.com/scipy/scipy/pull/8635>`__: MAINT: remove spurious warning from (z)vode and lsoda. Closes... * `#8636 <https://github.com/scipy/scipy/pull/8636>`__: BUG: sparse.linalg/gcrotmk: avoid rounding error in termination... * `#8637 <https://github.com/scipy/scipy/pull/8637>`__: For pdf build * `#8639 <https://github.com/scipy/scipy/pull/8639>`__: CI: build pdf documentation on circleci * `#8640 <https://github.com/scipy/scipy/pull/8640>`__: TST: fix special test that was importing `np.testing.utils` (deprecated) * `#8641 <https://github.com/scipy/scipy/pull/8641>`__: BUG: optimize: fixed sparse redundancy removal bug * `#8645 <https://github.com/scipy/scipy/pull/8645>`__: BUG: modified sigmaclip to avoid clipping of constant input in... * `#8647 <https://github.com/scipy/scipy/pull/8647>`__: TST: sparse: skip test_inplace_dense for numpy<1.13 * `#8657 <https://github.com/scipy/scipy/pull/8657>`__: Latex reduce left margins * `#8659 <https://github.com/scipy/scipy/pull/8659>`__: TST: special: skip sign-of-zero test on 32-bit win32 with old... * `#8661 <https://github.com/scipy/scipy/pull/8661>`__: Fix dblquad and tplquad not accepting float boundaries * `#8666 <https://github.com/scipy/scipy/pull/8666>`__: DOC: fixes #8532 * `#8667 <https://github.com/scipy/scipy/pull/8667>`__: BUG: optimize: fixed issue #8663 * `#8668 <https://github.com/scipy/scipy/pull/8668>`__: Fix example in docstring of netcdf_file * `#8671 <https://github.com/scipy/scipy/pull/8671>`__: DOC: Replace deprecated matplotlib kwarg * `#8673 <https://github.com/scipy/scipy/pull/8673>`__: BUG: special: Use a stricter tolerance for the chndtr calculation. * `#8674 <https://github.com/scipy/scipy/pull/8674>`__: ENH: In the Dirichlet distribution allow x_i to be 0 if alpha_i... * `#8676 <https://github.com/scipy/scipy/pull/8676>`__: BUG: optimize: partial fix to linprog fails to detect infeasibility... * `#8685 <https://github.com/scipy/scipy/pull/8685>`__: DOC: Add interp1d-next/previous example to tutorial * `#8687 <https://github.com/scipy/scipy/pull/8687>`__: TST: netcdf: explicit mmap=True in test * `#8688 <https://github.com/scipy/scipy/pull/8688>`__: BUG: signal, stats: use Python sum() instead of np.sum for summing... * `#8689 <https://github.com/scipy/scipy/pull/8689>`__: TST: bump tolerances in tests * `#8690 <https://github.com/scipy/scipy/pull/8690>`__: DEP: deprecate stats.itemfreq * `#8691 <https://github.com/scipy/scipy/pull/8691>`__: BLD: special: fix build vs. dd_real.h package * `#8695 <https://github.com/scipy/scipy/pull/8695>`__: DOC: Improve examples in signal.find_peaks with ECG signal * `#8697 <https://github.com/scipy/scipy/pull/8697>`__: BUG: Fix `setup.py build install egg_info`, which did not previously... * `#8704 <https://github.com/scipy/scipy/pull/8704>`__: TST: linalg: drop large size from solve() test * `#8705 <https://github.com/scipy/scipy/pull/8705>`__: DOC: Describe signal.find_peaks and related functions behavior... * `#8706 <https://github.com/scipy/scipy/pull/8706>`__: DOC: Specify encoding of rst file, remove an ambiguity in an... * `#8710 <https://github.com/scipy/scipy/pull/8710>`__: MAINT: fix an import cycle sparse -> special -> integrate ->... * `#8711 <https://github.com/scipy/scipy/pull/8711>`__: ENH: remove an avoidable overflow in scipy.stats.norminvgauss.pdf() * `#8716 <https://github.com/scipy/scipy/pull/8716>`__: BUG: interpolate: allow list inputs for make_interp_spline(...,... * `#8720 <https://github.com/scipy/scipy/pull/8720>`__: np.testing import that is compatible with numpy 1.15 * `#8724 <https://github.com/scipy/scipy/pull/8724>`__: CI: don't use pyproject.toml in the CI builds Checksums ========= MD5 ~~~ c87600cca9adb73dd29dfeec900177fe scipy-1.1.0rc1-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 97dde23e2f86fed4479906e2aa3e35f3 scipy-1.1.0rc1-cp27-cp27m-manylinux1_i686.whl eab2aac5065061c4c85b74b9d881dc59 scipy-1.1.0rc1-cp27-cp27m-manylinux1_x86_64.whl 2469f532bcd4ee16d3938532b0f8dfbb 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Re: [SciPy-Dev] SciPy 1.1.0 release schedule
by Gubian, Sylvain 10 Apr '18

10 Apr '18

Dear All, #PR8203 is planned for 1.1.0 release. Few minors comments to address but very close to be merged according reviewers. I'll do my best to address them ASAP. Sylvain. -----Original Message----- From: SciPy-Dev [mailto:scipy-dev-bounces+sylvain.gubian=pmi.com@python.org] On Behalf Of scipy-dev-request(a)python.org Sent: mardi 10 avril 2018 23:16 To: scipy-dev(a)python.org Subject: SciPy-Dev Digest, Vol 174, Issue 10 Send SciPy-Dev mailing list submissions to scipy-dev(a)python.org To subscribe or unsubscribe via the World Wide Web, visit https://emea01.safelinks.protection.outlook.com/?url=https%3A%2F%2Fmail.pyt… or, via email, send a message with subject or body 'help' to scipy-dev-request(a)python.org You can reach the person managing the list at scipy-dev-owner(a)python.org When replying, please edit your Subject line so it is more specific than "Re: Contents of SciPy-Dev digest..." Today's Topics: 1. SciPy 1.1.0 release schedule (Pauli Virtanen) 2. Re: SciPy 1.1.0 release schedule (Mark Alexander Mikofski) 3. Re: SciPy 1.1.0 release schedule (Pauli Virtanen) 4. Re: SciPy 1.1.0 release schedule (Pauli Virtanen) 5. Re: SciPy 1.1.0 release schedule (Blair Azzopardi) ---------------------------------------------------------------------- Message: 1 Date: Tue, 10 Apr 2018 21:39:02 +0200 From: Pauli Virtanen <pav(a)iki.fi> To: scipy-dev <scipy-dev(a)python.org> Subject: [SciPy-Dev] SciPy 1.1.0 release schedule Message-ID: <d52dd92bea7b25f2b5ff1d8ea42d7f8efc0bbbdb.camel(a)iki.fi> Content-Type: text/plain; charset="UTF-8" Hi, 2018-03-25 17:45 -0700, Ralf Gommers wrote: > It's 5 months after the 1.0 release, so it's time to start planning > for 1.1. There's still quite a few open issues and PRs marked for > 1.1.0 (see > https://emea01.safelinks.protection.outlook.com/?url=https%3A%2F%2Fgit > hub.com%2Fscipy%2Fscipy%2Fmilestone%2F34&data=02%7C01%7Csylvain.gubian > %40pmi.com%7C38a531959d654daaa84908d59f28752b%7C8b86a65e3c3a44068ac319a6b5cc52bc%7C0%7C0%7C636589918472558141&sdata=gGcS%2BZH%2B%2FhauPHDbB4bHx%2B9K0ZtMMeBUgvEe7vO63wA%3D&reserved=0), but not many that seem blocking or really difficult to resolve. So I'd like to propose the following schedule: > > April 11: branch 1.1.x > April 13: rc1 > April 27: rc2 (if needed) > May 4: final release Just a friendly heads up/reminder: staying roughly with the schedule proposed earlier, I'll branch 1.1.x on this Thursday, and work towards getting 1.1.0rc1 out during the weekend. If there are features almost ready to be merged, there's a few days before the branch point. After that, it's mainly bugfixes that'll get to 1.1.0. There are several feature PRs marked in the milestone and elsewhere that in principle might use help with reviewing/status triaging --- I've been working toward getting low-hanging ones in, but there are several which I'm not sure about. Nothing seems blocking, though. If there are blocking problems that need to be addressed currently in master before 1.1.0, please remind about them (I'm not aware of such issues though). Best, Pauli -- ------------------------------ Message: 2 Date: Tue, 10 Apr 2018 20:12:37 +0000 From: Mark Alexander Mikofski <mikofski(a)berkeley.edu> To: SciPy Developers List <scipy-dev(a)python.org> Subject: Re: [SciPy-Dev] SciPy 1.1.0 release schedule Message-ID: <CAEqRcW1E6OnGWmHtZ3BNgGCMAePg7=YNweZ4-LwQOk=BRy7Utw(a)mail.gmail.com> Content-Type: text/plain; charset="utf-8" Can PR #8357 please be considered for v1.1.0? It has been reviewed by several maintainers and contributors, it closes two issues, and has support of several users. Also it is tested, benchmarked, and documented. I believe I have addressed all comments from all reviewers, but please let me know if anyone has any more comments. Thanks so much! On Tue, Apr 10, 2018, 1:05 PM Pauli Virtanen <pav(a)iki.fi> wrote: > Hi, > > 2018-03-25 17:45 -0700, Ralf Gommers wrote: > > It's 5 months after the 1.0 release, so it's time to start planning > > for 1.1. There's still quite a few open issues and PRs marked for > > 1.1.0 (see > > https://emea01.safelinks.protection.outlook.com/?url=https%3A%2F%2Fg > > ithub.com%2Fscipy%2Fscipy%2Fmilestone%2F34&data=02%7C01%7Csylvain.gu > > bian%40pmi.com%7C38a531959d654daaa84908d59f28752b%7C8b86a65e3c3a44068ac319a6b5cc52bc%7C0%7C0%7C636589918472558141&sdata=gGcS%2BZH%2B%2FhauPHDbB4bHx%2B9K0ZtMMeBUgvEe7vO63wA%3D&reserved=0), but not many that seem blocking or really difficult to resolve. So I'd like to propose the following schedule: > > > > April 11: branch 1.1.x > > April 13: rc1 > > April 27: rc2 (if needed) > > May 4: final release > > Just a friendly heads up/reminder: staying roughly with the schedule > proposed earlier, I'll branch 1.1.x on this Thursday, and work towards > getting 1.1.0rc1 out during the weekend. > > If there are features almost ready to be merged, there's a few days > before the branch point. After that, it's mainly bugfixes that'll get > to 1.1.0. > > There are several feature PRs marked in the milestone and elsewhere > that in principle might use help with reviewing/status triaging --- > I've been working toward getting low-hanging ones in, but there are > several which I'm not sure about. Nothing seems blocking, though. > > If there are blocking problems that need to be addressed currently in > master before 1.1.0, please remind about them (I'm not aware of such > issues though). > > Best, > Pauli > > -- > _______________________________________________ > SciPy-Dev mailing list > SciPy-Dev(a)python.org > https://emea01.safelinks.protection.outlook.com/?url=https%3A%2F%2Fmai > l.python.org%2Fmailman%2Flistinfo%2Fscipy-dev&data=02%7C01%7Csylvain.g > ubian%40pmi.com%7C38a531959d654daaa84908d59f28752b%7C8b86a65e3c3a44068 > ac319a6b5cc52bc%7C0%7C0%7C636589918472558141&sdata=qMVAKjIj6VyXGq%2BYb > luHPuQnIBX8NNuExIZnJEcgfcU%3D&reserved=0 > -------------- next part -------------- An HTML attachment was scrubbed... URL: <https://emea01.safelinks.protection.outlook.com/?url=http%3A%2F%2Fmail.pyth…> ------------------------------ Message: 3 Date: Tue, 10 Apr 2018 21:02:21 +0200 From: Pauli Virtanen <pav(a)iki.fi> To: scipy-dev(a)python.org Subject: Re: [SciPy-Dev] SciPy 1.1.0 release schedule Message-ID: <25564720afdc9f408862f670492b03d03e094696.camel(a)iki.fi> Content-Type: text/plain; charset="UTF-8" Hi, su, 2018-03-25 kello 17:45 -0700, Ralf Gommers kirjoitti: > It's 5 months after the 1.0 release, so it's time to start planning > for 1.1. There's still quite a few open issues and PRs marked for > 1.1.0 (see > https://emea01.safelinks.protection.outlook.com/?url=https%3A%2F%2Fgit > hub.com%2Fscipy%2Fscipy%2Fmilestone%2F34&data=02%7C01%7Csylvain.gubian > %40pmi.com%7C38a531959d654daaa84908d59f28752b%7C8b86a65e3c3a44068ac319a6b5cc52bc%7C0%7C0%7C636589918472558141&sdata=gGcS%2BZH%2B%2FhauPHDbB4bHx%2B9K0ZtMMeBUgvEe7vO63wA%3D&reserved=0), but not many that seem blocking or really difficult to resolve. So I'd like to propose the following schedule: > > April 11: branch 1.1.x > April 13: rc1 > April 27: rc2 (if needed) > May 4: final release Just a friendly heads up/reminder: staying roughly with the schedule proposed earlier, I'll branch 1.1.x on this Thursday, and work towards getting 1.1.0rc1 out during the weekend. If there are features almost ready to be merged, there's a few days before the branch point. After that, it's mainly bugfixes that'll get to 1.1.0. There are several feature PRs marked in the milestone and elsewhere that in principle might use help with reviewing/status triaging --- I've been working toward getting low-hanging ones in, but there are several which I'm not sure about. Nothing seems blocking, though. If there are blocking problems that need to be addressed currently in master before 1.1.0, please remind about them (I'm not aware of such issues though). Best, Pauli ------------------------------ Message: 4 Date: Tue, 10 Apr 2018 21:04:13 +0200 From: Pauli Virtanen <pav(a)iki.fi> To: scipy-dev(a)python.org Subject: Re: [SciPy-Dev] SciPy 1.1.0 release schedule Message-ID: <91b19d6380a8b8a68fdc8c2cda8d599a27b1d7f8.camel(a)iki.fi> Content-Type: text/plain; charset="UTF-8" Hi, su, 2018-03-25 kello 17:45 -0700, Ralf Gommers kirjoitti: > It's 5 months after the 1.0 release, so it's time to start planning > for 1.1. There's still quite a few open issues and PRs marked for > 1.1.0 (see > https://emea01.safelinks.protection.outlook.com/?url=https%3A%2F%2Fgit > hub.com%2Fscipy%2Fscipy%2Fmilestone%2F34&data=02%7C01%7Csylvain.gubian > %40pmi.com%7C38a531959d654daaa84908d59f28752b%7C8b86a65e3c3a44068ac319a6b5cc52bc%7C0%7C0%7C636589918472558141&sdata=gGcS%2BZH%2B%2FhauPHDbB4bHx%2B9K0ZtMMeBUgvEe7vO63wA%3D&reserved=0), but not many that seem blocking or really difficult to resolve. So I'd like to propose the following schedule: > > April 11: branch 1.1.x > April 13: rc1 > April 27: rc2 (if needed) > May 4: final release Just a friendly heads up/reminder: staying roughly with the schedule proposed earlier, I'll branch 1.1.x on this Thursday, and work towards getting 1.1.0rc1 out during the weekend. If there are features almost ready to be merged, there's a few days before the branch point. After that, it's mainly bugfixes that'll get to 1.1.0. There are several feature PRs marked in the milestone and elsewhere that in principle might use help with reviewing/status triaging --- I've been working toward getting low-hanging ones in, but there are several which I'm not sure about. Nothing seems blocking, though. If there are blocking problems that need to be addressed currently in master before 1.1.0, please remind about them (I'm not aware of such issues though). Best, Pauli ------------------------------ Message: 5 Date: Tue, 10 Apr 2018 22:15:33 +0100 From: Blair Azzopardi <blairuk(a)gmail.com> To: SciPy Developers List <scipy-dev(a)python.org> Subject: Re: [SciPy-Dev] SciPy 1.1.0 release schedule Message-ID: <CAAiKHotGpKi0uE8kG_eD8tKJ5qJ8p+x-E731WvRm114i9LJGcg(a)mail.gmail.com> Content-Type: text/plain; charset="utf-8" On 10 April 2018 at 20:04, Pauli Virtanen <pav(a)iki.fi> wrote: > Hi, > > su, 2018-03-25 kello 17:45 -0700, Ralf Gommers kirjoitti: > > It's 5 months after the 1.0 release, so it's time to start planning > > for 1.1. There's still quite a few open issues and PRs marked for > > 1.1.0 (see > > https://emea01.safelinks.protection.outlook.com/?url=https%3A%2F%2Fg > > ithub.com%2Fscipy%2Fscipy%2Fmilestone%2F34&data=02%7C01%7Csylvain.gu > > bian%40pmi.com%7C38a531959d654daaa84908d59f28752b%7C8b86a65e3c3a44068ac319a6b5cc52bc%7C0%7C0%7C636589918472558141&sdata=gGcS%2BZH%2B%2FhauPHDbB4bHx%2B9K0ZtMMeBUgvEe7vO63wA%3D&reserved=0), but not many that seem blocking or really difficult to resolve. So I'd like to propose the following schedule: > > > > April 11: branch 1.1.x > > April 13: rc1 > > April 27: rc2 (if needed) > > May 4: final release > > Just a friendly heads up/reminder: staying roughly with the schedule > proposed earlier, I'll branch 1.1.x on this Thursday, and work towards > getting 1.1.0rc1 out during the weekend. > > If there are features almost ready to be merged, there's a few days > before the branch point. After that, it's mainly bugfixes that'll get > to 1.1.0. > > There are several feature PRs marked in the milestone and elsewhere > that in principle might use help with reviewing/status triaging --- > I've been working toward getting low-hanging ones in, but there are > several which I'm not sure about. Nothing seems blocking, though. > > If there are blocking problems that need to be addressed currently in > master before 1.1.0, please remind about them (I'm not aware of such > issues though). > > Best, > Pauli > > _______________________________________________ > SciPy-Dev mailing list > SciPy-Dev(a)python.org > https://emea01.safelinks.protection.outlook.com/?url=https%3A%2F%2Fmai > l.python.org%2Fmailman%2Flistinfo%2Fscipy-dev&data=02%7C01%7Csylvain.g > ubian%40pmi.com%7C38a531959d654daaa84908d59f28752b%7C8b86a65e3c3a44068 > ac319a6b5cc52bc%7C0%7C0%7C636589918472558141&sdata=qMVAKjIj6VyXGq%2BYb > luHPuQnIBX8NNuExIZnJEcgfcU%3D&reserved=0 > Please can you consider merging PR #7374. It's already in the 1.1 milestone and I'd say it's pretty mature. The code offers 3 different ways of calculating stable pdf/cdfs all of which match samples provided by Nolan's public domain executable. It also offers parameter estimation using quantiles. Any further optimisations can be added in a later release. -------------- next part -------------- An HTML attachment was scrubbed... URL: <https://emea01.safelinks.protection.outlook.com/?url=http%3A%2F%2Fmail.pyth…> ------------------------------ Subject: Digest Footer _______________________________________________ SciPy-Dev mailing list SciPy-Dev(a)python.org https://emea01.safelinks.protection.outlook.com/?url=https%3A%2F%2Fmail.pyt… ------------------------------ End of SciPy-Dev Digest, Vol 174, Issue 10 ******************************************

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SciPy 1.1.0 release schedule
by Ralf Gommers 10 Apr '18

10 Apr '18

Hi all, It's 5 months after the 1.0 release, so it's time to start planning for 1.1. There's still quite a few open issues and PRs marked for 1.1.0 (see https://github.com/scipy/scipy/milestone/34), but not many that seem blocking or really difficult to resolve. So I'd like to propose the following schedule: April 11: branch 1.0.x April 13: rc1 April 27: rc2 (if needed) May 4: final release It would be useful if everyone could add PRs/issues that they think are critical to the 1.1 milestone. Adding yourself as an "assignee" on PRs/issues you plan to tackle would also be helpful. Thoughts? Cheers, Ralf

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