Mailman 3 December 2020 - NumPy-Discussion

locking np.random.Generator in a cython nogil context?
by Evgeni Burovski Dec. 17, 2020

Dec. 17, 2020

Hi, What would be the correct way of locking the bit generator of np.random.Generator in cython's nogil context? (This is threading 101, surely, so please forgive my ignorance). The docs for extending np.random.Generator in cython (https://numpy.org/doc/stable/reference/random/extending.html#cython) recommend the following idiom for generating uniform variates, where the GIL is released and a Generator-specific lock is held: x = PCG64() rng = <bitgen_t *> PyCapsule_GetPointer(x.capsule, capsule_name) with nogil, x.lock: rng.next_double(rng.state) What is the correct way of locking it when already in the nogil section (so that x.lock is not accessible)? The use case is a long-running MC process which generates random variates in a tight loop (so the loop is all nogil). In case it matters, I probably won't be using python threads, but may use multiprocessing. Basically, cdef double uniform(self) nogil: if self.idx >= self.buf.shape[0]: self._fill() cdef double value = self.buf[self.idx] self.idx += 1 return value cdef void _fill(self) nogil: self.idx = 0 # HERE: Lock ? for i in range(self.buf.shape[0]): self.buf[i] = self.rng.next_double(self.rng.state) Thanks, Evgeni P.S. The full cdef class, for completeness: cdef class RndmWrapper(): cdef: double[::1] buf Py_ssize_t idx bitgen_t *rng object py_gen # keep the garbage collector away def __init__(self, seed=(1234, 0), buf_size=4096, bitgen_kind=None): if bitgen_kind is None: bitgen_kind = PCG64 # cf Numpy-discussion list, K.~Sheppard, R.~Kern, June 29, 2020 and below # https://mail.python.org/pipermail/numpy-discussion/2020-June/080794.html entropy, num = seed seed_seq = SeedSequence(entropy, spawn_key=(num,)) py_gen = bitgen_kind(seed_seq) # store the python object to avoid it being garbage collected self.py_gen = py_gen capsule = py_gen.capsule self.rng = <bitgen_t *>PyCapsule_GetPointer(capsule, capsule_name) if not PyCapsule_IsValid(capsule, capsule_name): raise ValueError("Invalid pointer to anon_func_state") self.buf = np.empty(buf_size, dtype='float64') self._fill() @cython.boundscheck(False) @cython.wraparound(False) cdef void _fill(self) nogil: self.idx = 0 for i in range(self.buf.shape[0]): self.buf[i] = self.rng.next_double(self.rng.state) @cython.boundscheck(False) @cython.wraparound(False) cdef double uniform(self) nogil: if self.idx >= self.buf.shape[0]: self._fill() cdef double value = self.buf[self.idx] self.idx += 1 return value

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datetime64: Remove deprecation warning when constructing with timezone
by Noam Yorav-Raphael Dec. 17, 2020

Dec. 17, 2020

Hi, I suggest removing the deprecation warning when constructing a datetime64 with a timezone. For example, this is the current behavior: >>> np.datetime64('2020-11-05 16:00+0200') <stdin>:1: DeprecationWarning: parsing timezone aware datetimes is deprecated; this will raise an error in the future numpy.datetime64('2020-11-05T14:00') I suggest removing the deprecation warning because I find this to be a useful behavior, and because it is a correct behavior. The manual says: "The datetime object represents a single moment in time... Datetimes are always stored based on POSIX time, with an epoch of 1970-01-01T00:00Z." So 2020-11-05T16:00+0200 is indeed the moment in time represented by np.datetime64('2020-11-05T14:00'). I just used this to restrict my data set to records created after a certain moment. It was easier for me to write the moment in my local time and add "+0200" than to figure out the moment representation in UTC. So this is my simple suggestion: remove the deprecation warning. Beyond that, I have 3 ideas for changing the repr of datetime64 that I would like to discuss. 1. Add "Z" at the end, for example, numpy.datetime64('2020-11-05T14:00Z'). This will make it clear to which moment it refers. I think this is significant - I had to dig quite a bit to realize that datetime64('2020-11-05T14:00') means 14:00 UTC. 2. Replace the 'T' with a space. I just find it much easier to read '2020-11-05 14:00Z' than '2020-11-05T14:00Z'. The long sequence of characters makes it hard for my brain to parse. 3. This will require discussion, but will be very convenient: have the repr display the time using the environment time zone, including a time offset. So, in my specific time zone (+0200), I will have: repr(np.datetime64('2020-11-05 14:00Z')) == "numpy.datetime64('2020-11-05T16:00+0200')" I'm sure the pros and cons of having an environment-dependent repr should be discussed. But I will list some pros: 1. It's very convenient - it's immediately obvious to me to which moment 2020-11-05 16:00+0200 refers. 2. It's well defined - I may collect timestamps from machines with different time zones, and I will be able to know to which exact moment each timestamp refers. 3. It's very simple - I could compare any two timestamps, I don't have to worry about time zones. I would be happy to hear your thoughts. Thanks, Noam

5 6

NumPy Development Meeting Wednesday - Triage Focus
by Sebastian Berg Dec. 15, 2020

Dec. 15, 2020

Hi all, Our bi-weekly triage-focused NumPy development meeting is today (Wednesday, November 18th) at 11 am Pacific Time (19:00 UTC). Everyone is invited to join in and edit the work-in-progress meeting topics and notes: https://hackmd.io/68i_JvOYQfy9ERiHgXMPvg I encourage everyone to notify us of issues or PRs that you feel should be prioritized, discussed, or reviewed. Best regards Sebastian

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Assign shifted diagonal values with `np.fill_diagonal` and similar behaviour as `np.diag`
by Ivan Gonzalez Dec. 15, 2020

Dec. 15, 2020

As the subject says it will be great if `np.fill_diagonal` had a k-ith diagonal argument as `np.diag` does. The behavior expected (and a hack for the solution) is better explained in the following StackOverflow questions by me: https://stackoverflow.com/questions/65299295/assign-shifted-diagonal-values… I had posted an issue on numpy repo as well: https://github.com/numpy/numpy/issues/18000 Hope to hear your suggestions.

1 0

Installing numpy
by Lianyuan Zheng Dec. 14, 2020

Dec. 14, 2020

Hello, On my linux server, I downloaded the NUMPY package from GitHub (git clone https://github.com/numpy/numpy.git) and then accessed the directory "numpy". When I typed command "python setup.py install", it shows the following message: File "setup.py", line 51 f"NumPy {VERSION} may not yet support Python " ^ SyntaxError: invalid syntax Obviously the installation failed. Which python version is needed for this numpy package? The python version installed is version 2.7.5. Thanks, Lianyuan

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np.{bool,float,int} deprecation
by Juan Nunez-Iglesias Dec. 13, 2020

Dec. 13, 2020

Hi all, At the prodding [1] of Sebastian, I’m starting a discussion on the decision to deprecate np.{bool,float,int}. This deprecation broke our prerelease testing in scikit-image (which, hooray for rcs!), and resulted in a large amount of code churn to fix [2]. To be honest, I do think *some* sort of deprecation is needed, because for the longest time I thought that np.float was what np.float_ actually is. I think it would be worthwhile to move to *that*, though it’s an even more invasive deprecation than the currently proposed one. Writing `x = np.zeros(5, dtype=int)` is somewhat magical, because someone with a strict typing mindset (there’s an increasing number!) might expect that this is an array of pointers to Python ints. This is why I’ve always preferred to write `dtype=np.int`, resulting in the current code churn. I don’t know what the best answer is, just sparking the discussion Sebastian wants to see. ;) For skimage we’ve already merged a fix (even if it is one of dubious quality, as Stéfan points out [3] ;), so I don’t have too much stake in the outcome. Juan. [1]: https://github.com/scikit-image/scikit-image/pull/5103#issuecomment-7393344… [2]: https://github.com/scikit-image/scikit-image/pull/5103 [3]: https://github.com/scikit-image/scikit-image/pull/5103#issuecomment-7393687…

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Fixing/implementing value based Casting
by Sebastian Berg Dec. 11, 2020

Dec. 11, 2020

Hi all, Sorry that this will again be a bit complicated again :(. In brief: * I would like to pass around scalars in some (partially new) C-API to implement value-based promotion. * There are some subtle commutativity issues with promotion. Commutativity may change in that case (with respect of value based promotion, probably to the better normally). [0] In the past days, I have been looking into implementing value-based promotion in a way that I had done it for Prototype before. The idea was that NEP 42, allows for the creation of DType dynamically, which does allow very powerful value based promotion/casting. But I decided there are too many quirks with creating type instances dynamically (potentially very often) just to pass around one additional piece of information. That approach was far more powerful, but it is power and complexity that we do not require, given that: * Value based promotion is only used for a mix of scalars and arrays (where "scalar" is annoyingly defined as 0-D at the moment) * I assume it is only relevant for `np.result_type` and promotion in ufuncs (which often uses `np.result_type`). `np.can_cast` has such behaviour, but I think it is easier [1]. We could implement more powerful "value based" logic, but I doubt it is worthwhile. * This is already stretching the Python C-API beyond its limits. So I will suggest this instead which *must* modify some (poorly defined) current behaviour: 1. We always evaluate concrete DTypes first in promotion, this means that in rare cases the non-commutativity of promotion may change the result dtype: np.result_type(-1, 2**16, np.float32) The same can also happens when you reorder the normal dtypes: np.result_type(np.int8, np.uint16, np.float32) np.result_type(np.float32, np.int8, np.uint16) in both cases the `np.float32` is moved to the front 2. If we reorder the above operation, we can define that we never promote two "scalar values". Instead we convert both to a concrete one first. This makes it effectively like: np.result_type(np.array(-1).dtype, np.array(2**16).dtype) This means that we never have to deal with promoting two values. 3. We need additional private API (we were always going to need some additional API); That API could become public: * Convert a single value into a concrete dtype, you could say the same as `self.common_dtype(None)`, but a dedicated function seems simpler. A dtype like this will never use `common_dtype()`. * `common_dtype_with_scalar(self, other, scalar)` (note that only one of the DTypes can have a scalar). As a fallback, this function can be implemented by converting to the concrete DType and retrying with the normal `common_dtype`. (At leas the second slot must be made public we are to allow value based promotion for user DTypes. I expect we will, but it is not particularly important to me right now.) 4. Our public API (including new C-API) has to expose and take the scalar values. That means promotion in ufuncs will get DTypes and `scalar_values`, although those should normally be `NULL` (or None). In future python API, this is probably acceptable: np.result_type([t if v is None else v for t, v in zip(dtypes, scalar_values)]) In C, we need to expose a function below `result_type` which accepts both the scalar values and DTypes explicitly. 5. For the future: As said many times, I would like to deprecate using value based promotion for anything except Python core types. That just seems wrong and confusing. My only problem is that while I can warn (possibly sometimes too often) when behaviour will change. I do not have a good idea about silencing that warning. Note that this affects NEP 42 (a little bit). NEP 42 currently makes a nod towards the dynamic type creation, but falls short of actually defining it. So These rules have to be incorporated, but IMO they do not affect the general design choices in the NEP. There is probably even more complexity to be found here, but for now the above seems to be at least good enough to make headway... Any thoughts or clarity remaining that I can try to confuse? :) Cheers, Sebastian [0] We could use the reordering trick also for concrete DTypes, although, that would require introducing some kind of priority... I do not like that much as public API, but it might be something to look at internally or for types deriving from the builtin abstract DTypes: * inexact * other Just evaluating all `inexact` first would probably solve our commutativity issues. [1] NumPy uses `np.can_cast(value, dtype)` also. For example: np.can_cast(np.array(1., dtype=np.float64), np.float32, casting="safe") returns True. My working hypothesis is that `np.can_cast` as above is just a side battle. I.e. we can either: * Flip the switch on it (can-cast does no value based logic, even though we use it internally, we do not need it). * Or, we can implement those cases of `np.can_cast` by using promotion. The first one is tempting, but I assume we should go with the second since it preserves behaviour and is slightly more powerful.

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ANN: SciPy 1.6.0rc1 -- please test
by Tyler Reddy Dec. 11, 2020

Dec. 11, 2020

Hi all, On behalf of the SciPy development team I'm pleased to announce the release candidate SciPy 1.6.0rc1. Please help us test this pre-release. Sources and binary wheels can be found at: https://pypi.org/project/scipy/ and at: https://github.com/scipy/scipy/releases/tag/v1.6.0rc1 One of a few ways to install the release candidate with pip: pip install scipy==1.6.0rc1 ========================== SciPy 1.6.0 Release Notes ========================== Note: Scipy 1.6.0 is not released yet! SciPy 1.6.0 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 1.6.x branch, and on adding new features on the master branch. This release requires Python 3.7+ and NumPy 1.16.5 or greater. For running on PyPy, PyPy3 6.0+ is required. Highlights of this release --------------------------------- - `scipy.ndimage` improvements: Fixes and ehancements to boundary extension modes for interpolation functions. Support for complex-valued inputs in many filtering and interpolation functions. New ``grid_mode`` option for `scipy.ndimage.zoom` to enable results consistent with scikit-image's ``rescale``. - `scipy.optimize.linprog` has fast, new methods for large, sparse problems from the ``HiGHS`` library. - `scipy.stats` improvements including new distributions, a new test, and enhancements to existing distributions and tests New features ============ `scipy.special` improvements ---------------------------------------- `scipy.special` now has improved support for 64-bit ``LAPACK`` backend `scipy.odr` improvements ----------------------------------- `scipy.odr` now has support for 64-bit integer ``BLAS`` `scipy.odr.ODR` has gained an optional ``overwrite`` argument so that existing files may be overwritten. `scipy.integrate` improvements ------------------------------------------ Some renames of functions with poor names were done, with the old names retained without being in the reference guide for backwards compatibility reasons: - ``integrate.simps`` was renamed to ``integrate.simpson`` - ``integrate.trapz`` was renamed to ``integrate.trapezoid`` - ``integrate.cumtrapz`` was renamed to ``integrate.cumulative_trapezoid`` `scipy.cluster` improvements --------------------------------------- `scipy.cluster.hierarchy.DisjointSet` has been added for incremental connectivity queries. `scipy.cluster.hierarchy.dendrogram` return value now also includes leaf color information in `leaves_color_list`. `scipy.interpolate` improvements -------------------------------------------- `scipy.interpolate.interp1d` has a new method ``nearest-up``, similar to the existing method ``nearest`` but rounds half-integers up instead of down. `scipy.io` improvements -------------------------------- Support has been added for reading arbitrary bit depth integer PCM WAV files from 1- to 32-bit, including the commonly-requested 24-bit depth. `scipy.linalg` improvements ------------------------------------- The new function `scipy.linalg.matmul_toeplitz` uses the FFT to compute the product of a Toeplitz matrix with another matrix. `scipy.linalg.sqrtm` and `scipy.linalg.logm` have performance improvements thanks to additional Cython code. Python ``LAPACK`` wrappers have been added for ``pptrf``, ``pptrs``, ``ppsv``, ``pptri``, and ``ppcon``. `scipy.linalg.norm` and the ``svd`` family of functions will now use 64-bit integer backends when available. `scipy.ndimage` improvements ----------------------------------------- `scipy.ndimage.convolve`, `scipy.ndimage.correlate` and their 1d counterparts now accept both complex-valued images and/or complex-valued filter kernels. All convolution-based filters also now accept complex-valued inputs (e.g. ``gaussian_filter``, ``uniform_filter``, etc.). Multiple fixes and enhancements to boundary handling were introduced to `scipy.ndimage` interpolation functions (i.e. ``affine_transform``, ``geometric_transform``, ``map_coordinates``, ``rotate``, ``shift``, ``zoom``). A new boundary mode, ``grid-wrap`` was added which wraps images periodically, using a period equal to the shape of the input image grid. This is in contrast to the existing ``wrap`` mode which uses a period that is one sample smaller than the original signal extent along each dimension. A long-standing bug in the ``reflect`` boundary condition has been fixed and the mode ``grid-mirror`` was introduced as a synonym for ``reflect``. A new boundary mode, ``grid-constant`` is now available. This is similar to the existing ndimage ``constant`` mode, but interpolation will still performed at coordinate values outside of the original image extent. This ``grid-constant`` mode is consistent with OpenCV's ``BORDER_CONSTANT`` mode and scikit-image's ``constant`` mode. Spline pre-filtering (used internally by ``ndimage`` interpolation functions when ``order >= 2``), now supports all boundary modes rather than always defaulting to mirror boundary conditions. The standalone functions ``spline_filter`` and ``spline_filter1d`` have analytical boundary conditions that match modes ``mirror``, ``grid-wrap`` and ``reflect``. `scipy.ndimage` interpolation functions now accept complex-valued inputs. In this case, the interpolation is applied independently to the real and imaginary components. The ``ndimage`` tutorials (https://docs.scipy.org/doc/scipy/reference/tutorial/ndimage.html) have been updated with new figures to better clarify the exact behavior of all of the interpolation boundary modes. `scipy.ndimage.zoom` now has a ``grid_mode`` option that changes the coordinate of the center of the first pixel along an axis from 0 to 0.5. This allows resizing in a manner that is consistent with the behavior of scikit-image's ``resize`` and ``rescale`` functions (and OpenCV's ``cv2.resize``). `scipy.optimize` improvements ----------------------------------------- `scipy.optimize.linprog` has fast, new methods for large, sparse problems from the ``HiGHS`` C++ library. ``method='highs-ds'`` uses a high performance dual revised simplex implementation (HSOL), ``method='highs-ipm'`` uses an interior-point method with crossover, and ``method='highs'`` chooses between the two automatically. These methods are typically much faster and often exceed the accuracy of other ``linprog`` methods, so we recommend explicitly specifying one of these three method values when using ``linprog``. `scipy.optimize.quadratic_assignment` has been added for approximate solution of the quadratic assignment problem. `scipy.optimize.linear_sum_assignment` now has a substantially reduced overhead for small cost matrix sizes `scipy.optimize.least_squares` has improved performance when the user provides the jacobian as a sparse jacobian already in ``csr_matrix`` format `scipy.optimize.linprog` now has an ``rr_method`` argument for specification of the method used for redundancy handling, and a new method for this purpose is available based on the interpolative decomposition approach. `scipy.signal` improvements -------------------------------------- `scipy.signal.gammatone` has been added to design FIR or IIR filters that model the human auditory system. `scipy.signal.iircomb` has been added to design IIR peaking/notching comb filters that can boost/attenuate a frequency from a signal. `scipy.signal.sosfilt` performance has been improved to avoid some previously- observed slowdowns `scipy.signal.windows.taylor` has been added--the Taylor window function is commonly used in radar digital signal processing `scipy.signal.gauss_spline` now supports ``list`` type input for consistency with other related SciPy functions `scipy.signal.correlation_lags` has been added to allow calculation of the lag/ displacement indices array for 1D cross-correlation. `scipy.sparse` improvements --------------------------------------- A solver for the minimum weight full matching problem for bipartite graphs, also known as the linear assignment problem, has been added in `scipy.sparse.csgraph.min_weight_full_bipartite_matching`. In particular, this provides functionality analogous to that of `scipy.optimize.linear_sum_assignment`, but with improved performance for sparse inputs, and the ability to handle inputs whose dense representations would not fit in memory. The time complexity of `scipy.sparse.block_diag` has been improved dramatically from quadratic to linear. `scipy.sparse.linalg` improvements ----------------------------------------------- The vendored version of ``SuperLU`` has been updated `scipy.fft` improvements --------------------------------- The vendored ``pocketfft`` library now supports compiling with ARM neon vector extensions and has improved thread pool behavior. `scipy.spatial` improvements --------------------------------------- The python implementation of ``KDTree`` has been dropped and ``KDTree`` is now implemented in terms of ``cKDTree``. You can now expect ``cKDTree``-like performance by default. This also means ``sys.setrecursionlimit`` no longer needs to be increased for querying large trees. ``transform.Rotation`` has been updated with support for Modified Rodrigues Parameters alongside the existing rotation representations (PR gh-12667). `scipy.spatial.transform.Rotation` has been partially cythonized, with some performance improvements observed `scipy.spatial.distance.cdist` has improved performance with the ``minkowski`` metric, especially for p-norm values of 1 or 2. `scipy.stats` improvements ------------------------------------ New distributions have been added to `scipy.stats`: - The asymmetric Laplace continuous distribution has been added as `scipy.stats.laplace_asymmetric`. - The negative hypergeometric distribution has been added as `scipy.stats.nhypergeom`. - The multivariate t distribution has been added as `scipy.stats.multivariate_t`. - The multivariate hypergeometric distribution has been added as `scipy.stats.multivariate_hypergeom`. The ``fit`` method has been overridden for several distributions (``laplace``, ``pareto``, ``rayleigh``, ``invgauss``, ``logistic``, ``gumbel_l``, ``gumbel_r``); they now use analytical, distribution-specific maximum likelihood estimation results for greater speed and accuracy than the generic (numerical optimization) implementation. The one-sample Cramér-von Mises test has been added as `scipy.stats.cramervonmises`. An option to compute one-sided p-values was added to `scipy.stats.ttest_1samp`, `scipy.stats.ttest_ind_from_stats`, `scipy.stats.ttest_ind` and `scipy.stats.ttest_rel`. The function `scipy.stats.kendalltau` now has an option to compute Kendall's tau-c (also known as Stuart's tau-c), and support has been added for exact p-value calculations for sample sizes ``> 171``. `stats.trapz` was renamed to `stats.trapezoid`, with the former name retained as an alias for backwards compatibility reasons. The function `scipy.stats.linregress` now includes the standard error of the intercept in its return value. The ``_logpdf``, ``_sf``, and ``_isf`` methods have been added to `scipy.stats.nakagami`; ``_sf`` and ``_isf`` methods also added to `scipy.stats.gumbel_r` The ``sf`` method has been added to `scipy.stats.levy` and `scipy.stats.levy_l` for improved precision. `scipy.stats.binned_statistic_dd` performance improvements for the following computed statistics: ``max``, ``min``, ``median``, and ``std``. We gratefully acknowledge the Chan-Zuckerberg Initiative Essential Open Source Software for Science program for supporting many of these improvements to `scipy.stats`. Deprecated features ================ `scipy.spatial` changes -------------------------------- Calling ``KDTree.query`` with ``k=None`` to find all neighbours is deprecated. Use ``KDTree.query_ball_point`` instead. ``distance.wminkowski`` was deprecated; use ``distance.minkowski`` and supply weights with the ``w`` keyword instead. Backwards incompatible changes ========================== `scipy` changes ---------------------- Using `scipy.fft` as a function aliasing ``numpy.fft.fft`` was removed after being deprecated in SciPy ``1.4.0``. As a result, the `scipy.fft` submodule must be explicitly imported now, in line with other SciPy subpackages. `scipy.signal` changes -------------------------------- The output of ``decimate``, ``lfilter_zi``, ``lfiltic``, ``sos2tf``, and ``sosfilt_zi`` have been changed to match ``numpy.result_type`` of their inputs. The window function ``slepian`` was removed. It had been deprecated since SciPy ``1.1``. `scipy.spatial` changes -------------------------------- ``cKDTree.query`` now returns 64-bit rather than 32-bit integers on Windows, making behaviour consistent between platforms (PR gh-12673). `scipy.stats` changes ----------------------------- The ``frechet_l`` and ``frechet_r`` distributions were removed. They were deprecated since SciPy ``1.0``. Other changes ============= ``setup_requires`` was removed from ``setup.py``. This means that users invoking ``python setup.py install`` without having numpy already installed will now get an error, rather than having numpy installed for them via ``easy_install``. This install method was always fragile and problematic, users are encouraged to use ``pip`` when installing from source. - - Fixed a bug in `scipy.optimize.dual_annealing` ``accept_reject`` calculation that caused uphill jumps to be accepted less frequently. - - The time required for (un)pickling of `scipy.stats.rv_continuous`, `scipy.stats.rv_discrete`, and `scipy.stats.rv_frozen` has been significantly reduced (gh12550). Inheriting subclasses should note that ``__setstate__`` no longer calls ``__init__`` upon unpickling. Authors ======= * @endolith * @vkk800 * aditya + * George Bateman + * Christoph Baumgarten * Peter Bell * Tobias Biester + * Keaton J. Burns + * Evgeni Burovski * Rüdiger Busche + * Matthias Bussonnier * Dominic C + * Corallus Caninus + * CJ Carey * Thomas A Caswell * chapochn + * Lucía Cheung * Zach Colbert + * Coloquinte + * Yannick Copin + * Devin Crowley + * Terry Davis + * Michaël Defferrard + * devonwp + * Didier + * divenex + * Thomas Duvernay + * Eoghan O'Connell + * Gökçen Eraslan * Kristian Eschenburg + * Ralf Gommers * Thomas Grainger + * GreatV + * Gregory Gundersen + * h-vetinari + * Matt Haberland * Mark Harfouche + * He He + * Alex Henrie * Chun-Ming Huang + * Martin James McHugh III + * Alex Izvorski + * Joey + * ST John + * Jonas Jonker + * Julius Bier Kirkegaard * Marcin Konowalczyk + * Konrad0 * Sam Van Kooten + * Sergey Koposov + * Peter Mahler Larsen * Eric Larson * Antony Lee * Gregory R. Lee * Loïc Estève * Jean-Luc Margot + * MarkusKoebis + * Nikolay Mayorov * G. D. McBain * Andrew McCluskey + * Nicholas McKibben * Sturla Molden * Denali Molitor + * Eric Moore * Shashaank N + * Prashanth Nadukandi + * nbelakovski + * Andrew Nelson * Nick + * Nikola Forró + * odidev * ofirr + * Sambit Panda * Dima Pasechnik * Tirth Patel + * Paweł Redzyński + * Vladimir Philipenko + * Philipp Thölke + * Ilhan Polat * Eugene Prilepin + * Vladyslav Rachek * Ram Rachum + * Tyler Reddy * Martin Reinecke + * Simon Segerblom Rex + * Lucas Roberts * Benjamin Rowell + * Eli Rykoff + * Atsushi Sakai * Moritz Schulte + * Daniel B. Smith * Steve Smith + * Jan Soedingrekso + * Victor Stinner + * Jose Storopoli + * Diana Sukhoverkhova + * Søren Fuglede Jørgensen * taoky + * Mike Taves + * Ian Thomas + * Will Tirone + * Frank Torres + * Seth Troisi * Ronald van Elburg + * Hugo van Kemenade * Paul van Mulbregt * Saul Ivan Rivas Vega + * Pauli Virtanen * Jan Vleeshouwers * Samuel Wallan * Warren Weckesser * Ben West + * Eric Wieser * WillTirone + * Levi John Wolf + * Zhiqing Xiao * Rory Yorke + * Yun Wang (Maigo) + * Egor Zemlyanoy + * ZhihuiChen0903 + * Jacob Zhong + A total of 121 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 1.6.0 ------------------------------- * `#1323 <https://github.com/scipy/scipy/issues/1323>`__: ndimage.shift destroys data from edges (Trac #796) * `#1892 <https://github.com/scipy/scipy/issues/1892>`__: using rptfile= with an existing file causes a Fortran runtime... * `#1903 <https://github.com/scipy/scipy/issues/1903>`__: ndimage.rotate misses some values (Trac #1378) * `#1930 <https://github.com/scipy/scipy/issues/1930>`__: scipy.io.wavfile should be able to read 24 bit signed wave (Trac... * `#3158 <https://github.com/scipy/scipy/issues/3158>`__: Odd casting behaviour of signal.filtfilt * `#3203 <https://github.com/scipy/scipy/issues/3203>`__: interpolation.zoom incorrect output for certain cases * `#3645 <https://github.com/scipy/scipy/issues/3645>`__: BUG: stats: mstats.pearsonr calculation is wrong if the masks... * `#3665 <https://github.com/scipy/scipy/issues/3665>`__: Return Bunch objects from stats functions * `#4922 <https://github.com/scipy/scipy/issues/4922>`__: unexpected zero output values from zoom * `#5202 <https://github.com/scipy/scipy/issues/5202>`__: BUG: stats: Spurious warnings from the pdf method of several... * `#5223 <https://github.com/scipy/scipy/issues/5223>`__: Zoom does not return the same values when resizing a sub-array... * `#5396 <https://github.com/scipy/scipy/issues/5396>`__: scipy.spatial.distance.pdist documention bug * `#5489 <https://github.com/scipy/scipy/issues/5489>`__: ValueError: failed to create intent(cache|hide)|optional array--... * `#6096 <https://github.com/scipy/scipy/issues/6096>`__: loadmat drops dtype of empty arrays when squeeze_me=True * `#6713 <https://github.com/scipy/scipy/issues/6713>`__: sicpy.ndimage.zoom returns artefacts and boundaries in some cases * `#7125 <https://github.com/scipy/scipy/issues/7125>`__: Impossible to know number of dimensions in c function used by... * `#7324 <https://github.com/scipy/scipy/issues/7324>`__: scipy.ndimage.zoom bad interpolation when downsampling (zoom... * `#8131 <https://github.com/scipy/scipy/issues/8131>`__: BUG: geometric_transform wrap mode possible bug * `#8163 <https://github.com/scipy/scipy/issues/8163>`__: LSMR fails on some random values when providing an x0 * `#8210 <https://github.com/scipy/scipy/issues/8210>`__: Why should I choose order > 1 for scipy.ndimage.zoom? * `#8465 <https://github.com/scipy/scipy/issues/8465>`__: Unexpected behavior with reflect mode of ndimage.rotate * `#8776 <https://github.com/scipy/scipy/issues/8776>`__: cdist behavior with Minkowsky and np.inf * `#9168 <https://github.com/scipy/scipy/issues/9168>`__: documentation of pearson3 in scipy.stats unclear * `#9223 <https://github.com/scipy/scipy/issues/9223>`__: Faster implementation of scipy.sparse.block_diag * `#9476 <https://github.com/scipy/scipy/issues/9476>`__: Invalid index in signal.medfilt2d's QUICK_SELECT * `#9857 <https://github.com/scipy/scipy/issues/9857>`__: scipy.odr.Output.sd_beta is not standard error * `#9865 <https://github.com/scipy/scipy/issues/9865>`__: Strange behavior of \`ndimage.shift\` and \`ndimage.affine_transform\` * `#10042 <https://github.com/scipy/scipy/issues/10042>`__: Consider support for multivariate student-t distribution? * `#10134 <https://github.com/scipy/scipy/issues/10134>`__: gausshyper distribution accepts invalid parameters * `#10179 <https://github.com/scipy/scipy/issues/10179>`__: str+bytes concatenation error in test_lapack.py * `#10216 <https://github.com/scipy/scipy/issues/10216>`__: cKDTree.query_ball_point speed regression * `#10463 <https://github.com/scipy/scipy/issues/10463>`__: ENH: vectorize scipy.fft for more CPU architectures * `#10593 <https://github.com/scipy/scipy/issues/10593>`__: Rename \`sum\` ndimage function * `#10595 <https://github.com/scipy/scipy/issues/10595>`__: scipy.stats.ttest_1samp should support alternative hypothesis * `#10610 <https://github.com/scipy/scipy/issues/10610>`__: ndimage.interpolation.spline_filter1d default value of mode * `#10620 <https://github.com/scipy/scipy/issues/10620>`__: ndimage.interpolation.zoom() option to work like skimage.transform.resize() * `#10711 <https://github.com/scipy/scipy/issues/10711>`__: Array Shapes Not Aligned Bug in scipy.optimize._lsq.lsq_linear.py * `#10782 <https://github.com/scipy/scipy/issues/10782>`__: BUG: optimize: methods unknown to \`scipy.optimize.show_options\` * `#10892 <https://github.com/scipy/scipy/issues/10892>`__: Possible typo in an equation of optimize/dual_annealing * `#11020 <https://github.com/scipy/scipy/issues/11020>`__: signal.fftconvolve return a tuple including lag information * `#11093 <https://github.com/scipy/scipy/issues/11093>`__: scipy.interpolate.interp1d can not handle datetime64 * `#11170 <https://github.com/scipy/scipy/issues/11170>`__: Use manylinux2014 to get aarch64/ppc64le support * `#11186 <https://github.com/scipy/scipy/issues/11186>`__: BUG: stats: pearson3 CDF and SF functions incorrect when skew... * `#11366 <https://github.com/scipy/scipy/issues/11366>`__: DeprecationWarning due to invalid escape sequences * `#11403 <https://github.com/scipy/scipy/issues/11403>`__: Optimize raises "ValueError: \`x0\` violates bound constraints"... * `#11558 <https://github.com/scipy/scipy/issues/11558>`__: ENH: IIR comb filter * `#11559 <https://github.com/scipy/scipy/issues/11559>`__: BUG: iirdesign doesn't fail for frequencies above Nyquist * `#11567 <https://github.com/scipy/scipy/issues/11567>`__: scipy.signal.iirdesign doesn't check consistency of wp and ws... * `#11654 <https://github.com/scipy/scipy/issues/11654>`__: ENH: Add Negative Hypergeometric Distribution * `#11720 <https://github.com/scipy/scipy/issues/11720>`__: BUG: stats: wrong shape from median_absolute_deviation for arrays... * `#11746 <https://github.com/scipy/scipy/issues/11746>`__: BUG: stats: pearson3 returns size 1 arrays where other distributions... * `#11756 <https://github.com/scipy/scipy/issues/11756>`__: Improve and fix \*Spline docstrings and code * `#11758 <https://github.com/scipy/scipy/issues/11758>`__: BUG: of scipy.interpolate.CubicSpline when \`bc_type' is set... * `#11925 <https://github.com/scipy/scipy/issues/11925>`__: MAINT: remove character encoding check in CI? * `#11963 <https://github.com/scipy/scipy/issues/11963>`__: Test failures - TestLinprogIPSparseCholmod * `#12102 <https://github.com/scipy/scipy/issues/12102>`__: incorrect first moment of non central t-distribution * `#12113 <https://github.com/scipy/scipy/issues/12113>`__: scipy.stats.poisson docs for rate = 0 * `#12152 <https://github.com/scipy/scipy/issues/12152>`__: ENH: signal.gauss_spline should accept a list * `#12157 <https://github.com/scipy/scipy/issues/12157>`__: BUG: Iteration index initialisation is wrong in scipy.optimize.linesearch.scalar_search_wolfe2 * `#12162 <https://github.com/scipy/scipy/issues/12162>`__: Storing Rotation object in NumPy array returns an array with... * `#12176 <https://github.com/scipy/scipy/issues/12176>`__: cannot modify the slice of an array returned by \`wavfile.read\` * `#12190 <https://github.com/scipy/scipy/issues/12190>`__: retrieve leave colors from dendrogram * `#12196 <https://github.com/scipy/scipy/issues/12196>`__: PERF: scipy.linalg.pinv is very slow compared to numpy.linalg.pinv * `#12222 <https://github.com/scipy/scipy/issues/12222>`__: Interpolating categorical data (interp1d) * `#12231 <https://github.com/scipy/scipy/issues/12231>`__: Is the p-value of the Kruskal-Wallis test two-sided? * `#12249 <https://github.com/scipy/scipy/issues/12249>`__: ENH: least_squares: should not re-instanciate csr_matrix if already... * `#12264 <https://github.com/scipy/scipy/issues/12264>`__: DOC: optimize: linprog method-specific function signature * `#12290 <https://github.com/scipy/scipy/issues/12290>`__: DOC: Convex Hull areas are actually perimeters for 2-dimensional... * `#12308 <https://github.com/scipy/scipy/issues/12308>`__: integrate.solve_ivp with DOP853 method fails when yDot = 0 * `#12326 <https://github.com/scipy/scipy/issues/12326>`__: BUG: stats.exponnorm.pdf returns 0 for small K * `#12337 <https://github.com/scipy/scipy/issues/12337>`__: scipy.sparse.linalg.eigsh documentation is misleading * `#12339 <https://github.com/scipy/scipy/issues/12339>`__: scipy.io.wavfile.write documentation has wrong example * `#12340 <https://github.com/scipy/scipy/issues/12340>`__: sparse.lil_matrix.tocsr() fails silently on matrices with nzn... * `#12350 <https://github.com/scipy/scipy/issues/12350>`__: Create a 2-parameter version of the gamma distribution * `#12369 <https://github.com/scipy/scipy/issues/12369>`__: scipy.signal.correlate has an error in the documentation, examples... * `#12373 <https://github.com/scipy/scipy/issues/12373>`__: interp1d returns incorrect values for step functions * `#12378 <https://github.com/scipy/scipy/issues/12378>`__: interpolate.NearestNDInterpolator.__call__ & LinearNDInterpolator.__call__... * `#12411 <https://github.com/scipy/scipy/issues/12411>`__: scipy.stats.spearmanr mishandles nan variables with "propogate" * `#12413 <https://github.com/scipy/scipy/issues/12413>`__: DOC: Remove the "Basic functions" section from the SciPy tutorial. * `#12415 <https://github.com/scipy/scipy/issues/12415>`__: scipy.stats.dirichlet documentation issue * `#12419 <https://github.com/scipy/scipy/issues/12419>`__: least_squares ValueError with 'lm' method - regression from 1.4.1... * `#12431 <https://github.com/scipy/scipy/issues/12431>`__: Request for Python wrapper for LAPACK's ?pptrf (Cholesky factorization... * `#12458 <https://github.com/scipy/scipy/issues/12458>`__: spearmanr with entire NaN columns produces errors * `#12477 <https://github.com/scipy/scipy/issues/12477>`__: WIP: Addition of MLE for stats.invgauss/wald * `#12483 <https://github.com/scipy/scipy/issues/12483>`__: reading .wav fails when the file is too big on python 3.6.0 * `#12490 <https://github.com/scipy/scipy/issues/12490>`__: BUG: stats: logistic and genlogistic logpdf overflow for large... * `#12499 <https://github.com/scipy/scipy/issues/12499>`__: LinearNDInterpolator raises ValueError when value array has writeable=False... * `#12523 <https://github.com/scipy/scipy/issues/12523>`__: Wrong key in __odrpack.c * `#12547 <https://github.com/scipy/scipy/issues/12547>`__: typo in scipy/cluster/_hierarchy.pyx * `#12549 <https://github.com/scipy/scipy/issues/12549>`__: DOC: least_squares return type is poorly formatted. * `#12578 <https://github.com/scipy/scipy/issues/12578>`__: TST: test_bounds_infeasible_2 failing on wheels repo cron jobs * `#12585 <https://github.com/scipy/scipy/issues/12585>`__: ENH: Add Multivariate Hypergeometric Distribution * `#12604 <https://github.com/scipy/scipy/issues/12604>`__: unintuitive conversion in \`scipy.constants.lambda2nu\` * `#12606 <https://github.com/scipy/scipy/issues/12606>`__: DOC: Invalid syntax in example. * `#12665 <https://github.com/scipy/scipy/issues/12665>`__: List of possible bugs found by automated code analysis * `#12696 <https://github.com/scipy/scipy/issues/12696>`__: scipy.optimize.fminbound, numpy depreciation warning Creating... * `#12699 <https://github.com/scipy/scipy/issues/12699>`__: TestProjections.test_iterative_refinements_dense failure * `#12701 <https://github.com/scipy/scipy/issues/12701>`__: TestDifferentialEvolutionSolver::test_L4 failing * `#12719 <https://github.com/scipy/scipy/issues/12719>`__: Misleading scipy.signal.get_window() docstring with 'exponential'... * `#12740 <https://github.com/scipy/scipy/issues/12740>`__: circstd doesn't handle R = hypot(S, C) > 1 * `#12749 <https://github.com/scipy/scipy/issues/12749>`__: ENH: interp1d Matlab compatibility * `#12773 <https://github.com/scipy/scipy/issues/12773>`__: Meta-issue: ndimage spline boundary handling (NumFOCUS proposal) * `#12813 <https://github.com/scipy/scipy/issues/12813>`__: optimize.root(method="krylov") fails if options["tol_norm"] expects... * `#12815 <https://github.com/scipy/scipy/issues/12815>`__: stats.zscore inconsistent behavior when all values are the same * `#12840 <https://github.com/scipy/scipy/issues/12840>`__: scipy.signal.windows.dpss docstring typo * `#12874 <https://github.com/scipy/scipy/issues/12874>`__: Rotation.random vs stats.special_ortho_group * `#12881 <https://github.com/scipy/scipy/issues/12881>`__: FFT - documentation - examples - linspace construction * `#12904 <https://github.com/scipy/scipy/issues/12904>`__: BUG: parsing in loadarff() * `#12917 <https://github.com/scipy/scipy/issues/12917>`__: GitHub Actions nightly build triggered on forks * `#12919 <https://github.com/scipy/scipy/issues/12919>`__: BUG: numerical precision, use gammaln in nct.mean * `#12924 <https://github.com/scipy/scipy/issues/12924>`__: Rename Sample Based Integration Methods to Comply with Code of... * `#12940 <https://github.com/scipy/scipy/issues/12940>`__: Should the minimum numpy for AIX be bumped to 1.16.5 * `#12951 <https://github.com/scipy/scipy/issues/12951>`__: A possible typo in scipy.stats.weightedtau * `#12952 <https://github.com/scipy/scipy/issues/12952>`__: [Documentation question] Would it be more precise to specify... * `#12970 <https://github.com/scipy/scipy/issues/12970>`__: Documentation presents second order sections as the correct choice... * `#12982 <https://github.com/scipy/scipy/issues/12982>`__: Calculate standard error of the intercept in linregress * `#12985 <https://github.com/scipy/scipy/issues/12985>`__: Possible wrong link in scipy.stats.wilcoxon doc * `#12991 <https://github.com/scipy/scipy/issues/12991>`__: least_squares broken with float32 * `#13001 <https://github.com/scipy/scipy/issues/13001>`__: \`OptimizeResult.message\` from \`L-BFGS-B\` is a bytes, not... * `#13030 <https://github.com/scipy/scipy/issues/13030>`__: BUG: lint_diff.py still fails for backport PRs * `#13077 <https://github.com/scipy/scipy/issues/13077>`__: CI: codecov proper patch diffs * `#13085 <https://github.com/scipy/scipy/issues/13085>`__: Build failing on main branch after HiGHS solver merge * `#13088 <https://github.com/scipy/scipy/issues/13088>`__: BLD, BUG: wheel builds failure with HiGHS/optimize * `#13099 <https://github.com/scipy/scipy/issues/13099>`__: Wrong output format for empty sparse results of kron * `#13108 <https://github.com/scipy/scipy/issues/13108>`__: TST, CI: GitHub Actions MacOS Failures * `#13111 <https://github.com/scipy/scipy/issues/13111>`__: BUG, DOC: refguide check is failing * `#13127 <https://github.com/scipy/scipy/issues/13127>`__: ODR output file writing broken in conda env with system compilers * `#13134 <https://github.com/scipy/scipy/issues/13134>`__: FromTravis migration tracker * `#13140 <https://github.com/scipy/scipy/issues/13140>`__: BUG: signal: \`ss2tf\` incorrectly truncates output to integers. * `#13179 <https://github.com/scipy/scipy/issues/13179>`__: CI: lint is failing because of output to stderr * `#13182 <https://github.com/scipy/scipy/issues/13182>`__: Key appears twice in \`test_optimize.test_show_options\` * `#13191 <https://github.com/scipy/scipy/issues/13191>`__: \`scipy.linalg.lapack.dgesjv\` overwrites original arrays if... * `#13207 <https://github.com/scipy/scipy/issues/13207>`__: TST: Erratic test failure in test_cossin_separate Pull requests for 1.6.0 ------------------------------ * `#8032 <https://github.com/scipy/scipy/pull/8032>`__: ENH: Add in taylor window common in Radar processing * `#8779 <https://github.com/scipy/scipy/pull/8779>`__: CI: Run benchmarks * `#9361 <https://github.com/scipy/scipy/pull/9361>`__: ENH: Add Kendall's tau-a and tau-c variants to scipy.stats.kendalltau() * `#11068 <https://github.com/scipy/scipy/pull/11068>`__: ENH: Adds correlation_lags function to scipy.signal * `#11119 <https://github.com/scipy/scipy/pull/11119>`__: ENH: add Cramer-von-Mises (one-sample) test to scipy.stats * `#11249 <https://github.com/scipy/scipy/pull/11249>`__: ENH: optimize: interpolative decomposition redundancy removal... * `#11346 <https://github.com/scipy/scipy/pull/11346>`__: ENH: add fast toeplitz matrix multiplication using FFT * `#11413 <https://github.com/scipy/scipy/pull/11413>`__: ENH: Multivariate t-distribution (stale) * `#11563 <https://github.com/scipy/scipy/pull/11563>`__: ENH: exact p-value in stats.kendalltau() for sample sizes > 171 * `#11691 <https://github.com/scipy/scipy/pull/11691>`__: ENH: add a stack of reversal functions to linprog * `#12043 <https://github.com/scipy/scipy/pull/12043>`__: ENH: optimize: add HiGHS methods to linprog - continued * `#12061 <https://github.com/scipy/scipy/pull/12061>`__: Check parameter consistensy in signal.iirdesign * `#12067 <https://github.com/scipy/scipy/pull/12067>`__: MAINT: Cleanup OLDAPI in ndimage/src/_ctest.c * `#12069 <https://github.com/scipy/scipy/pull/12069>`__: DOC: Add developer guidelines for implementing the nan_policy... * `#12077 <https://github.com/scipy/scipy/pull/12077>`__: MAINT: malloc return value checks for cython * `#12080 <https://github.com/scipy/scipy/pull/12080>`__: MAINT: Remove suppress_warnings * `#12085 <https://github.com/scipy/scipy/pull/12085>`__: ENH: special: support ILP64 Lapack * `#12086 <https://github.com/scipy/scipy/pull/12086>`__: MAINT: Cleanup PyMODINIT_FUNC used during 2to3 * `#12097 <https://github.com/scipy/scipy/pull/12097>`__: ENH: stats: override stats.rayleigh.fit with analytical MLE * `#12112 <https://github.com/scipy/scipy/pull/12112>`__: DOC: Improve integrate.nquad docstring * `#12125 <https://github.com/scipy/scipy/pull/12125>`__: TST: Add a test for stats.gmean with negative input * `#12139 <https://github.com/scipy/scipy/pull/12139>`__: TST: Reduce flakiness in lsmr test * `#12142 <https://github.com/scipy/scipy/pull/12142>`__: DOC: add a note in poisson distribution when mu=0 and k=0 in... * `#12144 <https://github.com/scipy/scipy/pull/12144>`__: DOC: Update ndimage.morphology.distance_transform\* * `#12154 <https://github.com/scipy/scipy/pull/12154>`__: ENH: scipy.signal: allow lists in gauss_spline * `#12170 <https://github.com/scipy/scipy/pull/12170>`__: ENH: scipy.stats: add negative hypergeometric distribution * `#12177 <https://github.com/scipy/scipy/pull/12177>`__: MAINT: Correctly add input line to ValueError * `#12183 <https://github.com/scipy/scipy/pull/12183>`__: ENH: Use fromfile where possible * `#12186 <https://github.com/scipy/scipy/pull/12186>`__: MAINT: generalize tests in SphericalVoronoi * `#12198 <https://github.com/scipy/scipy/pull/12198>`__: TST: Fix str + bytes error * `#12199 <https://github.com/scipy/scipy/pull/12199>`__: ENH: match np.result_type behaviour in some scipy.signal functions * `#12200 <https://github.com/scipy/scipy/pull/12200>`__: ENH: add FIR and IIR gammatone filters to scipy.signal * `#12204 <https://github.com/scipy/scipy/pull/12204>`__: ENH: Add overwrite argument for odr.ODR() and its test. * `#12206 <https://github.com/scipy/scipy/pull/12206>`__: MAINT:lstsq: Switch to tranposed problem if the array is tall * `#12208 <https://github.com/scipy/scipy/pull/12208>`__: wavfile bugfixes and maintenance * `#12214 <https://github.com/scipy/scipy/pull/12214>`__: DOC: fix docstring of "sd_beta" of odr.Output. * `#12234 <https://github.com/scipy/scipy/pull/12234>`__: MAINT: prevent divide by zero warnings in scipy.optimize BFGS... * `#12235 <https://github.com/scipy/scipy/pull/12235>`__: REL: set version to 1.6.0.dev0 * `#12237 <https://github.com/scipy/scipy/pull/12237>`__: BUG: Fix exit condition for QUICK_SELECT pivot * `#12242 <https://github.com/scipy/scipy/pull/12242>`__: ENH: Rename ndimage.sum to ndimage.sum_labels (keep sum as alias) * `#12243 <https://github.com/scipy/scipy/pull/12243>`__: EHN: Update SuperLU * `#12244 <https://github.com/scipy/scipy/pull/12244>`__: MAINT: stats: avoid spurious warnings in ncx2.pdf * `#12245 <https://github.com/scipy/scipy/pull/12245>`__: DOC: Fixed incorrect default for mode in scipy.ndimage.spline_filter1d * `#12248 <https://github.com/scipy/scipy/pull/12248>`__: MAINT: clean up pavement.py * `#12250 <https://github.com/scipy/scipy/pull/12250>`__: ENH: Replaced csr_matrix() by tocsr() and complemented docstring * `#12253 <https://github.com/scipy/scipy/pull/12253>`__: TST, CI: turn on codecov patch diffs * `#12259 <https://github.com/scipy/scipy/pull/12259>`__: MAINT: Remove duplicated test for import cycles * `#12263 <https://github.com/scipy/scipy/pull/12263>`__: ENH: Rename LocalSearchWrapper bounds * `#12265 <https://github.com/scipy/scipy/pull/12265>`__: BUG optimize: Accept np.matrix in lsq_linear * `#12266 <https://github.com/scipy/scipy/pull/12266>`__: BUG: Fix paren error in dual annealing accept_reject calculation * `#12269 <https://github.com/scipy/scipy/pull/12269>`__: MAINT: Included mismatched shapes in error messages. * `#12279 <https://github.com/scipy/scipy/pull/12279>`__: MAINT: \`__array__\` and array protocols cannot be used in sparse. * `#12281 <https://github.com/scipy/scipy/pull/12281>`__: DOC: update wheel DL docs * `#12283 <https://github.com/scipy/scipy/pull/12283>`__: ENH: odr: ILP64 Blas support in ODR * `#12284 <https://github.com/scipy/scipy/pull/12284>`__: ENH: linalg: support for ILP64 BLAS/LAPACK in f2py wrappers * `#12286 <https://github.com/scipy/scipy/pull/12286>`__: ENH: Cythonize scipy.spatial.transform.Rotation * `#12287 <https://github.com/scipy/scipy/pull/12287>`__: ENH: Read arbitrary bit depth (including 24-bit) WAVs * `#12292 <https://github.com/scipy/scipy/pull/12292>`__: BLD: fix musl compilation * `#12293 <https://github.com/scipy/scipy/pull/12293>`__: MAINT: Fix a DeprecationWarning in validate_runtests_log.py. * `#12296 <https://github.com/scipy/scipy/pull/12296>`__: DOC: Clarify area/volume in scipy.spatial.ConvexHull docstrings * `#12302 <https://github.com/scipy/scipy/pull/12302>`__: CI: Run travis builds on master to keep cache up to date * `#12305 <https://github.com/scipy/scipy/pull/12305>`__: TST: Cleanup print statements in tests * `#12323 <https://github.com/scipy/scipy/pull/12323>`__: ENH: Add a Bunch-like class to use as a backwards compatible... * `#12324 <https://github.com/scipy/scipy/pull/12324>`__: BUG: io: Fix an error that occurs when attempting to raise a... * `#12327 <https://github.com/scipy/scipy/pull/12327>`__: DOC: clarify docstrings of \`query_ball_tree\` and \`query_pairs\` * `#12334 <https://github.com/scipy/scipy/pull/12334>`__: PERF: Improve cKDTree.query_ball_point constant time cython overhead * `#12338 <https://github.com/scipy/scipy/pull/12338>`__: DOC: improve consistency and clarity of docs in linalg and sparse/linalg * `#12341 <https://github.com/scipy/scipy/pull/12341>`__: DOC: add Examples for KDTree query_ball_tree and query_pairs * `#12343 <https://github.com/scipy/scipy/pull/12343>`__: DOC: add examples for special.eval_legendre() * `#12349 <https://github.com/scipy/scipy/pull/12349>`__: BUG: avoid overflow in sum() for 32-bit systems * `#12351 <https://github.com/scipy/scipy/pull/12351>`__: DOC: Fix example wavfile to be 16bit * `#12352 <https://github.com/scipy/scipy/pull/12352>`__: [BUG] Consider 0/0 division in DOP853 error estimation * `#12353 <https://github.com/scipy/scipy/pull/12353>`__: Fix exception causes in vq.py * `#12354 <https://github.com/scipy/scipy/pull/12354>`__: MAINT: Cleanup unneeded void\* cast in setlist.pxd * `#12355 <https://github.com/scipy/scipy/pull/12355>`__: TST: Remove hack for old win-amd64 bug * `#12356 <https://github.com/scipy/scipy/pull/12356>`__: ENH: Faster implementation of scipy.sparse.block_diag (#9411... * `#12357 <https://github.com/scipy/scipy/pull/12357>`__: MAINT,TST: update and run scipy/special/utils/convert.py * `#12358 <https://github.com/scipy/scipy/pull/12358>`__: TST: Check mstat.skewtest pvalue * `#12359 <https://github.com/scipy/scipy/pull/12359>`__: TST: Sparse matrix test with int64 indptr and indices * `#12363 <https://github.com/scipy/scipy/pull/12363>`__: DOC: ref. in CloughTocher2DInterpolator * `#12364 <https://github.com/scipy/scipy/pull/12364>`__: DOC: \`sparse_distance_matrix\` and \`count_neighbors\` examples * `#12371 <https://github.com/scipy/scipy/pull/12371>`__: MAINT, CI: bump to latest stable OpenBLAS * `#12372 <https://github.com/scipy/scipy/pull/12372>`__: MAINT: Minor cleanup of (c)KDTree tests * `#12374 <https://github.com/scipy/scipy/pull/12374>`__: DEP: Deprecate \`distance.wminkowski\` * `#12375 <https://github.com/scipy/scipy/pull/12375>`__: ENH: Add fast path for minkowski distance with p=1,2 and support... * `#12376 <https://github.com/scipy/scipy/pull/12376>`__: Fix exception causes in most of the codebase * `#12377 <https://github.com/scipy/scipy/pull/12377>`__: DOC: Quick fix - adds newline to correlation_lags docstring Examples... * `#12381 <https://github.com/scipy/scipy/pull/12381>`__: BENCH: remove obsolete goal_time param * `#12382 <https://github.com/scipy/scipy/pull/12382>`__: ENH: Replace KDTree with a thin wrapper over cKDTree * `#12385 <https://github.com/scipy/scipy/pull/12385>`__: DOC: improve docstrings of interpolate.NearestNDInterpolator.__call__... * `#12387 <https://github.com/scipy/scipy/pull/12387>`__: DOC/STY: add example to scipy.signal.correlate * `#12393 <https://github.com/scipy/scipy/pull/12393>`__: CI: Replace the existing check for non-ASCII characters with... * `#12394 <https://github.com/scipy/scipy/pull/12394>`__: CI: arm64 numpy now available * `#12395 <https://github.com/scipy/scipy/pull/12395>`__: ENH: improve stats.binned_statistic_dd performance * `#12396 <https://github.com/scipy/scipy/pull/12396>`__: DOC, MAINT: forward port 1.5.0 relnotes * `#12398 <https://github.com/scipy/scipy/pull/12398>`__: API: Disable len() and indexing of Rotation instances with single... * `#12399 <https://github.com/scipy/scipy/pull/12399>`__: MAINT: Replace some Unicode dash-like chars with an ASCII hyphen. * `#12402 <https://github.com/scipy/scipy/pull/12402>`__: update .mailmap * `#12404 <https://github.com/scipy/scipy/pull/12404>`__: MAINT: io: Change the encoding comment of test_mio.py to utf-8. * `#12416 <https://github.com/scipy/scipy/pull/12416>`__: CI: cache mingw, azure pipelines * `#12427 <https://github.com/scipy/scipy/pull/12427>`__: BUG: logic error in loop unrolling (cKDTree) * `#12432 <https://github.com/scipy/scipy/pull/12432>`__: DOC: Remove the "Basic functions" section from the SciPy tutorial. * `#12434 <https://github.com/scipy/scipy/pull/12434>`__: ENH:linalg: Add LAPACK wrappers pptrf/pptrs/ppsv/pptri/ppcon * `#12435 <https://github.com/scipy/scipy/pull/12435>`__: DOC: fix simplex math for scipy.stats.dirichlet documentation * `#12439 <https://github.com/scipy/scipy/pull/12439>`__: DOC: add API methods summary for NdPPoly * `#12443 <https://github.com/scipy/scipy/pull/12443>`__: BUG: stats: Improve calculation of exponnorm.pdf * `#12448 <https://github.com/scipy/scipy/pull/12448>`__: DOC: stats: Add "Examples" to the ansari docstring. * `#12450 <https://github.com/scipy/scipy/pull/12450>`__: ENH: add \`leaves_color_list\` for cluster.dendrogram dictionary. * `#12451 <https://github.com/scipy/scipy/pull/12451>`__: MAINT: remove "blacklist" terminology from code base * `#12452 <https://github.com/scipy/scipy/pull/12452>`__: DOC: clarify the meaning of whitening for cluster.vq.whiten() * `#12455 <https://github.com/scipy/scipy/pull/12455>`__: MAINT: clearer error message in setup.py * `#12457 <https://github.com/scipy/scipy/pull/12457>`__: ENH: stats: override stats.pareto.fit with analytical MLE * `#12460 <https://github.com/scipy/scipy/pull/12460>`__: check if column in spearman rho is entirely NaN or Inf * `#12463 <https://github.com/scipy/scipy/pull/12463>`__: DOC: improve and clean up \*Spline docstrings in fitpack2.py * `#12474 <https://github.com/scipy/scipy/pull/12474>`__: ENH: linalg: speedup _sqrtm_triu by moving tight loop to Cython * `#12476 <https://github.com/scipy/scipy/pull/12476>`__: ENH: add IIR comb filter to scipy.signal * `#12484 <https://github.com/scipy/scipy/pull/12484>`__: Fix documentation for minimize * `#12486 <https://github.com/scipy/scipy/pull/12486>`__: DOC: add a note in poisson distribution when mu=0 and k=0 in... * `#12491 <https://github.com/scipy/scipy/pull/12491>`__: MAINT: forward port 1.5.1 release notes * `#12508 <https://github.com/scipy/scipy/pull/12508>`__: Fix exception causes all over the codebase * `#12514 <https://github.com/scipy/scipy/pull/12514>`__: ENH: stats: override stats.invgauss.fit with analytical MLE * `#12519 <https://github.com/scipy/scipy/pull/12519>`__: PERF: Avoid np.zeros when custom initialization is needed anyway * `#12520 <https://github.com/scipy/scipy/pull/12520>`__: DOC: Minor RST section renaming. * `#12521 <https://github.com/scipy/scipy/pull/12521>`__: MAINT: Remove unused imports * `#12522 <https://github.com/scipy/scipy/pull/12522>`__: PERF: Get rid of unnececssary allocation in VarReader5.cread_fieldnames * `#12524 <https://github.com/scipy/scipy/pull/12524>`__: DOC: special: Set Axes3D rect to avoid clipping labels in plot. * `#12525 <https://github.com/scipy/scipy/pull/12525>`__: Fix large sparse nnz * `#12526 <https://github.com/scipy/scipy/pull/12526>`__: DOC: Remove double section and too long header underline. * `#12527 <https://github.com/scipy/scipy/pull/12527>`__: Improve error message for wrong interpolation type * `#12530 <https://github.com/scipy/scipy/pull/12530>`__: Move redundant logic outside loop for conditional speedup in... * `#12532 <https://github.com/scipy/scipy/pull/12532>`__: ENH: Add norm={"forward", "backward"} to \`scipy.fft\` * `#12535 <https://github.com/scipy/scipy/pull/12535>`__: MAINT: Avoid sphinx deprecated aliases for SeeAlso and Only * `#12540 <https://github.com/scipy/scipy/pull/12540>`__: BUG: fix odr.output.work_ind key bug and add its test. * `#12541 <https://github.com/scipy/scipy/pull/12541>`__: ENH: add solver for minimum weight full bipartite matching * `#12550 <https://github.com/scipy/scipy/pull/12550>`__: PERF: pickling speed of rv\* * `#12551 <https://github.com/scipy/scipy/pull/12551>`__: DOC: fix typo in cluster/_hierarchy.pyx * `#12552 <https://github.com/scipy/scipy/pull/12552>`__: CI: Cleanup travis pip installs * `#12556 <https://github.com/scipy/scipy/pull/12556>`__: BUG: Fix problem with Scipy.integrate.solve_bvp for big problems * `#12557 <https://github.com/scipy/scipy/pull/12557>`__: MAINT: Use extern templates to improve sparsetools compile time * `#12558 <https://github.com/scipy/scipy/pull/12558>`__: MAINT: Remove hack to allow scipy.fft to act like a function * `#12563 <https://github.com/scipy/scipy/pull/12563>`__: MAINT: Remove unused mu0 in special/orthogonal.py * `#12564 <https://github.com/scipy/scipy/pull/12564>`__: DOC: fix return type docstring for least_squares * `#12565 <https://github.com/scipy/scipy/pull/12565>`__: DOC: stats: respond to query about Kruskal-Wallis test being... * `#12566 <https://github.com/scipy/scipy/pull/12566>`__: BUG: Interpolate: use stable sort * `#12568 <https://github.com/scipy/scipy/pull/12568>`__: Updated documentation for as_quat * `#12571 <https://github.com/scipy/scipy/pull/12571>`__: DEP: remove deprecated slepian window * `#12573 <https://github.com/scipy/scipy/pull/12573>`__: DEP: remove \`frechet_l\` and \`frechet_r\` * `#12575 <https://github.com/scipy/scipy/pull/12575>`__: BUG: stats: fix multinomial.pmf NaNs when params sum > 1 * `#12576 <https://github.com/scipy/scipy/pull/12576>`__: MAINT: remove warning from LSQSphereBivariateSpline * `#12582 <https://github.com/scipy/scipy/pull/12582>`__: ENH: Multivariate t-distribution * `#12587 <https://github.com/scipy/scipy/pull/12587>`__: ENH: speed up rvs of gengamma in scipy.stats * `#12588 <https://github.com/scipy/scipy/pull/12588>`__: DOC: add Examples add see also sections for LinearNDInterpolator,... * `#12597 <https://github.com/scipy/scipy/pull/12597>`__: ENH: Add single-sided p-values to t-tests * `#12599 <https://github.com/scipy/scipy/pull/12599>`__: Small update to scipy FFT tutorial * `#12600 <https://github.com/scipy/scipy/pull/12600>`__: ENH: disjoint set data structure * `#12602 <https://github.com/scipy/scipy/pull/12602>`__: BUG: add const for Read-only views in interpnd.pyx * `#12605 <https://github.com/scipy/scipy/pull/12605>`__: BUG: correct \`np.asanyarray\` use in \`scipy.constants.lambda2nu\` * `#12610 <https://github.com/scipy/scipy/pull/12610>`__: MAINT: forward port 1.5.2 release notes * `#12612 <https://github.com/scipy/scipy/pull/12612>`__: MAINT: stats: Use explicit keyword parameters instead of \`\*\*kwds\`. * `#12616 <https://github.com/scipy/scipy/pull/12616>`__: DOC: make explicit docstring that interpolate.interp1d only accepts... * `#12618 <https://github.com/scipy/scipy/pull/12618>`__: DOC: Minor doc formatting. * `#12640 <https://github.com/scipy/scipy/pull/12640>`__: MAINT: stats: fix issues with scipy.stats.pearson3 docs, moment,... * `#12647 <https://github.com/scipy/scipy/pull/12647>`__: TST: Add Boost ellipr[cdfgj]_data test data * `#12648 <https://github.com/scipy/scipy/pull/12648>`__: DOC: Update special/utils/README with instructions * `#12649 <https://github.com/scipy/scipy/pull/12649>`__: DOC: simplified pip quickstart guide * `#12650 <https://github.com/scipy/scipy/pull/12650>`__: DOC: stats: Fix boxcox docstring: lambda can be negative. * `#12655 <https://github.com/scipy/scipy/pull/12655>`__: DOC: update Steering Council members listed in governance docs * `#12659 <https://github.com/scipy/scipy/pull/12659>`__: rv_sample expect bug * `#12663 <https://github.com/scipy/scipy/pull/12663>`__: DOC: optimize: try to fix linprog method-specific documentation * `#12664 <https://github.com/scipy/scipy/pull/12664>`__: BUG: stats: Fix logpdf with large negative values for logistic... * `#12666 <https://github.com/scipy/scipy/pull/12666>`__: MAINT: Fixes from static analysis * `#12667 <https://github.com/scipy/scipy/pull/12667>`__: ENH: Adding Modified Rodrigues Parameters to the Rotation class * `#12670 <https://github.com/scipy/scipy/pull/12670>`__: DOC: Update documentation for Gamma distribution * `#12673 <https://github.com/scipy/scipy/pull/12673>`__: API: Unconditionally return np.intp from cKDTree.query * `#12677 <https://github.com/scipy/scipy/pull/12677>`__: MAINT: Add Autogenerated notice to ufuncs.pyi * `#12682 <https://github.com/scipy/scipy/pull/12682>`__: MAINT: Remove _util._valarray * `#12688 <https://github.com/scipy/scipy/pull/12688>`__: MAINT: add f2py-generated scipy.integrate files to .gitignore * `#12689 <https://github.com/scipy/scipy/pull/12689>`__: BENCH: simplify benchmark setup, remove benchmarks/run.py * `#12694 <https://github.com/scipy/scipy/pull/12694>`__: scipy/stats: Add laplace_asymmetric continuous distribution * `#12695 <https://github.com/scipy/scipy/pull/12695>`__: DOC: update Ubuntu quickstart; conda compilers now work! * `#12698 <https://github.com/scipy/scipy/pull/12698>`__: MAINT: Replace np.max with np.maximum * `#12700 <https://github.com/scipy/scipy/pull/12700>`__: TST: bump test precision for constrained trustregion test * `#12702 <https://github.com/scipy/scipy/pull/12702>`__: TST: bump test tolerance for \`DifferentialEvolutionSolver.test_L4\` * `#12703 <https://github.com/scipy/scipy/pull/12703>`__: BUG: Improve input validation for sepfir2d * `#12708 <https://github.com/scipy/scipy/pull/12708>`__: MAINT: fix a typo in scipy.sparse * `#12709 <https://github.com/scipy/scipy/pull/12709>`__: BUG: bvls can fail catastrophically to converge * `#12711 <https://github.com/scipy/scipy/pull/12711>`__: MAINT: Use platform.python_implementation to determine IS_PYPY * `#12713 <https://github.com/scipy/scipy/pull/12713>`__: TST: Fix flaky test_lgmres * `#12716 <https://github.com/scipy/scipy/pull/12716>`__: DOC: add examples and tutorial links for interpolate functions... * `#12717 <https://github.com/scipy/scipy/pull/12717>`__: DOC: Fix Issue #5396 * `#12725 <https://github.com/scipy/scipy/pull/12725>`__: ENH: Support complex-valued images and kernels for many ndimage... * `#12729 <https://github.com/scipy/scipy/pull/12729>`__: DEP: remove setup_requires * `#12732 <https://github.com/scipy/scipy/pull/12732>`__: BENCH: skip benchmarks instead of hiding them when SCIPY_XSLOW=0 * `#12734 <https://github.com/scipy/scipy/pull/12734>`__: CI: Don't ignore line-length in the lint_diff check. * `#12736 <https://github.com/scipy/scipy/pull/12736>`__: DOC: Fix signal.windows.get_window() 'exponential' docstring * `#12737 <https://github.com/scipy/scipy/pull/12737>`__: ENH: stats: override stats.gumbel_r.fit and stats.gumbel_l.fit... * `#12738 <https://github.com/scipy/scipy/pull/12738>`__: ENH: stats: override stats.logistic.fit with system of equations... * `#12743 <https://github.com/scipy/scipy/pull/12743>`__: BUG: Avoid negative variances in circular statistics * `#12744 <https://github.com/scipy/scipy/pull/12744>`__: Prevent build error on GNU/Hurd * `#12746 <https://github.com/scipy/scipy/pull/12746>`__: TST: parameterize the test cases in test_ndimage.py * `#12752 <https://github.com/scipy/scipy/pull/12752>`__: DOC: Add examples for some root finding functions. * `#12754 <https://github.com/scipy/scipy/pull/12754>`__: MAINT, CI: Azure windows deps multiline * `#12756 <https://github.com/scipy/scipy/pull/12756>`__: ENH: stats: Add an sf method to levy for improved precision in... * `#12757 <https://github.com/scipy/scipy/pull/12757>`__: ENH: stats: Add an sf method to levy_l for improved precision. * `#12765 <https://github.com/scipy/scipy/pull/12765>`__: TST, MAINT: infeasible_2 context * `#12767 <https://github.com/scipy/scipy/pull/12767>`__: Fix spline interpolation boundary handling for modes reflect... * `#12769 <https://github.com/scipy/scipy/pull/12769>`__: DOC: syntax error in scipy.interpolate.bspl * `#12770 <https://github.com/scipy/scipy/pull/12770>`__: ENH: add nearest-up rounding to scipy.interpolate.interp1d * `#12771 <https://github.com/scipy/scipy/pull/12771>`__: TST: fix invalid input unit test for scipy.signal.gammatone * `#12775 <https://github.com/scipy/scipy/pull/12775>`__: ENH: Adds quadratic_assignment with two methods * `#12776 <https://github.com/scipy/scipy/pull/12776>`__: ENH: add grid-constant boundary handling in ndimage interpolation... * `#12777 <https://github.com/scipy/scipy/pull/12777>`__: Add Taylor Window function - Common in Radar DSP * `#12779 <https://github.com/scipy/scipy/pull/12779>`__: ENH: Improvements to pocketfft thread pool and ARM neon vectorization * `#12788 <https://github.com/scipy/scipy/pull/12788>`__: API: Rename cKDTree n_jobs argument to workers * `#12792 <https://github.com/scipy/scipy/pull/12792>`__: DOC: remove THANKS.txt file in favor of scipy.org * `#12793 <https://github.com/scipy/scipy/pull/12793>`__: Add new flag to authors tool * `#12802 <https://github.com/scipy/scipy/pull/12802>`__: BENCH: add scipy.ndimage.interpolation benchmarks * `#12803 <https://github.com/scipy/scipy/pull/12803>`__: Do not pin the version of numpy in unsupported python versions * `#12810 <https://github.com/scipy/scipy/pull/12810>`__: CI: fix 32-bit Linux build failure on Azure CI runs * `#12812 <https://github.com/scipy/scipy/pull/12812>`__: ENH: support interpolation of complex-valued images * `#12814 <https://github.com/scipy/scipy/pull/12814>`__: BUG: nonlin_solve shouldn't pass non-vector dx to tol_norm * `#12818 <https://github.com/scipy/scipy/pull/12818>`__: Update ckdtree.pyx * `#12822 <https://github.com/scipy/scipy/pull/12822>`__: MAINT: simplify directed_hausdorff * `#12827 <https://github.com/scipy/scipy/pull/12827>`__: DOC: Fix wrong name w being used instead of worN in docs. * `#12831 <https://github.com/scipy/scipy/pull/12831>`__: DOC: fix typo in sparse/base.py * `#12835 <https://github.com/scipy/scipy/pull/12835>`__: MAINT: stats: Improve vonmises PDF calculation. * `#12839 <https://github.com/scipy/scipy/pull/12839>`__: ENH: scipy.stats: add multivariate hypergeometric distribution * `#12843 <https://github.com/scipy/scipy/pull/12843>`__: changed M to N in windows.dpss * `#12846 <https://github.com/scipy/scipy/pull/12846>`__: MAINT: update minimum NumPy version to 1.16.5 * `#12847 <https://github.com/scipy/scipy/pull/12847>`__: DOC: Unify the formula in docs of scipy.stats.pearsonr() * `#12849 <https://github.com/scipy/scipy/pull/12849>`__: DOC: polish QAP docs for consistency and readability * `#12852 <https://github.com/scipy/scipy/pull/12852>`__: ENH, MAINT: Bring KDTree interface to feature-parity with cKDTree * `#12858 <https://github.com/scipy/scipy/pull/12858>`__: DOC: use :doi: and :arxiv: directives for references * `#12872 <https://github.com/scipy/scipy/pull/12872>`__: lazily import multiprocessing.Pool in MapWrapper * `#12878 <https://github.com/scipy/scipy/pull/12878>`__: DOC: document ScalarFunction * `#12882 <https://github.com/scipy/scipy/pull/12882>`__: MAINT: stats: Change a test to use <= instead of strictly less... * `#12885 <https://github.com/scipy/scipy/pull/12885>`__: numpy.linspace calls edited to ensure correct spacing. * `#12886 <https://github.com/scipy/scipy/pull/12886>`__: DOC: stats: Add 'versionadded' to cramervonmises docstring. * `#12899 <https://github.com/scipy/scipy/pull/12899>`__: TST: make a couple of tests expected to fail on 32-bit architectures * `#12903 <https://github.com/scipy/scipy/pull/12903>`__: DOC: update Windows build guide and move into contributor guide * `#12907 <https://github.com/scipy/scipy/pull/12907>`__: DOC: clarify which array the precenter option applies to * `#12908 <https://github.com/scipy/scipy/pull/12908>`__: MAINT: spatial: Remove two occurrences of unused variables in... * `#12909 <https://github.com/scipy/scipy/pull/12909>`__: ENH: stats: Add methods gumbel_r._sf and gumbel_r._isf * `#12910 <https://github.com/scipy/scipy/pull/12910>`__: CI: travis: Remove some unnecessary code from .travis.yml. * `#12911 <https://github.com/scipy/scipy/pull/12911>`__: Minor fixes to dendrogram plotting * `#12921 <https://github.com/scipy/scipy/pull/12921>`__: CI: don't run GitHub Actions on fork or in cron job * `#12927 <https://github.com/scipy/scipy/pull/12927>`__: MAINT: rename integrate.simps to simpson * `#12934 <https://github.com/scipy/scipy/pull/12934>`__: MAINT: rename trapz and cumtrapz to (cumulative\_)trapezoid * `#12936 <https://github.com/scipy/scipy/pull/12936>`__: MAINT: fix numerical precision in nct.stats * `#12938 <https://github.com/scipy/scipy/pull/12938>`__: MAINT: fix linter on master * `#12941 <https://github.com/scipy/scipy/pull/12941>`__: Update minimum AIX pinnings to match non AIX builds * `#12955 <https://github.com/scipy/scipy/pull/12955>`__: BUG: Fixed wrong NaNs check in scipy.stats.weightedtau * `#12958 <https://github.com/scipy/scipy/pull/12958>`__: ENH: stats: Implement _logpdf, _sf and _isf for nakagami. * `#12962 <https://github.com/scipy/scipy/pull/12962>`__: Correcting that p should be in [0,1] for a variety of discrete... * `#12964 <https://github.com/scipy/scipy/pull/12964>`__: BUG: added line.strip() to split_data_line() * `#12968 <https://github.com/scipy/scipy/pull/12968>`__: ENH: stats: Use only an analytical formula or scalar root-finding... * `#12971 <https://github.com/scipy/scipy/pull/12971>`__: MAINT: Declare support for Python 3.9 * `#12972 <https://github.com/scipy/scipy/pull/12972>`__: MAINT: Remove redundant Python < 3.6 code * `#12980 <https://github.com/scipy/scipy/pull/12980>`__: DOC: Update documentation on optimize.rosen * `#12983 <https://github.com/scipy/scipy/pull/12983>`__: ENH: improvements to stats.linregress * `#12990 <https://github.com/scipy/scipy/pull/12990>`__: DOC: Clarify that using sos as output type for iirdesign can... * `#12992 <https://github.com/scipy/scipy/pull/12992>`__: DOC: capitalization and formatting in lsmr * `#12995 <https://github.com/scipy/scipy/pull/12995>`__: DOC: stats: Several documentation fixes. * `#12996 <https://github.com/scipy/scipy/pull/12996>`__: BUG: Improve error messages for \`range\` arg of binned_statistic_dd * `#12998 <https://github.com/scipy/scipy/pull/12998>`__: MAINT: approx_derivative with FP32 closes #12991 * `#13004 <https://github.com/scipy/scipy/pull/13004>`__: TST: isinstance(OptimizeResult.message, str) closes #13001 * `#13006 <https://github.com/scipy/scipy/pull/13006>`__: Keep correct dtype when loading empty mat arrays. * `#13009 <https://github.com/scipy/scipy/pull/13009>`__: MAINT: clip SLSQP step within bounds * `#13012 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<https://github.com/scipy/scipy/pull/13054>`__: BUG: fix \`scipy.optimize.show_options\` for unknown methods.... * `#13056 <https://github.com/scipy/scipy/pull/13056>`__: MAINT: fft: Fix a C++ compiler warning. * `#13057 <https://github.com/scipy/scipy/pull/13057>`__: Minor fixes on doc of function csr_tocsc * `#13058 <https://github.com/scipy/scipy/pull/13058>`__: DOC: stats: Replace np.float with np.float64 in a tutorial file. * `#13059 <https://github.com/scipy/scipy/pull/13059>`__: DOC: stats: Update the "Returns" section of the linregress docstring. * `#13060 <https://github.com/scipy/scipy/pull/13060>`__: MAINT: clip_x_for_func should be private * `#13061 <https://github.com/scipy/scipy/pull/13061>`__: DOC: signal.win -> signal.windows.win in Examples * `#13063 <https://github.com/scipy/scipy/pull/13063>`__: MAINT: Add suite-sparse and sksparse installation check * `#13070 <https://github.com/scipy/scipy/pull/13070>`__: MAINT: stats: Remove a couple obsolete comments. * `#13073 <https://github.com/scipy/scipy/pull/13073>`__: BUG: Fix scalar_search_wolfe2 to resolve #12157 * `#13078 <https://github.com/scipy/scipy/pull/13078>`__: CI, MAINT: migrate Lint to Azure * `#13081 <https://github.com/scipy/scipy/pull/13081>`__: BLD: drop Python 3.6 support (NEP 29) * `#13082 <https://github.com/scipy/scipy/pull/13082>`__: MAINT: update minimum NumPy version to 1.16.5 in a couple more... * `#13083 <https://github.com/scipy/scipy/pull/13083>`__: DOC: update toolchain.rst * `#13086 <https://github.com/scipy/scipy/pull/13086>`__: DOC: Update the Parameters section of the correlation docstring * `#13087 <https://github.com/scipy/scipy/pull/13087>`__: ENH:signal: Speed-up Cython implementation of _sosfilt * `#13089 <https://github.com/scipy/scipy/pull/13089>`__: BLD, BUG: add c99 compiler flag to HiGHS basiclu library * `#13091 <https://github.com/scipy/scipy/pull/13091>`__: BUG: Fix GIL handling in _sosfilt * `#13094 <https://github.com/scipy/scipy/pull/13094>`__: DOC: clarify "location" in docstring of cKDTree.query * `#13095 <https://github.com/scipy/scipy/pull/13095>`__: Zoom resize update * `#13097 <https://github.com/scipy/scipy/pull/13097>`__: BUG: fix CubicSpline(..., bc_type="periodic") #11758 * `#13100 <https://github.com/scipy/scipy/pull/13100>`__: BUG: sparse: Correct output format of kron * `#13107 <https://github.com/scipy/scipy/pull/13107>`__: ENH: faster linear_sum_assignment for small cost matrices * `#13110 <https://github.com/scipy/scipy/pull/13110>`__: CI, MAINT: refguide/asv checks to azure * `#13112 <https://github.com/scipy/scipy/pull/13112>`__: CI: fix MacOS CI * `#13113 <https://github.com/scipy/scipy/pull/13113>`__: CI: Install word list package for refguide-check * `#13115 <https://github.com/scipy/scipy/pull/13115>`__: BUG: add value range check for signal.iirdesign() * `#13116 <https://github.com/scipy/scipy/pull/13116>`__: CI: Don't report name errors after an exception in refguide-check * `#13117 <https://github.com/scipy/scipy/pull/13117>`__: CI: move sdist/pre-release test Azure * `#13119 <https://github.com/scipy/scipy/pull/13119>`__: Improve error message on friedmanchisquare function * `#13121 <https://github.com/scipy/scipy/pull/13121>`__: Fix factorial() for NaN on Python 3.10 * `#13123 <https://github.com/scipy/scipy/pull/13123>`__: BLD: Specify file extension for language standard version tests * `#13128 <https://github.com/scipy/scipy/pull/13128>`__: TST: skip Fortran I/O test for ODR * `#13130 <https://github.com/scipy/scipy/pull/13130>`__: TST: skip factorial() float tests on Python 3.10 * `#13136 <https://github.com/scipy/scipy/pull/13136>`__: CI:Add python dbg run to GH Actions * `#13138 <https://github.com/scipy/scipy/pull/13138>`__: CI: Port coverage, 64-bit BLAS, GCC 4.8 build to azure * `#13139 <https://github.com/scipy/scipy/pull/13139>`__: Fix edge case for mode='nearest' in ndimage.interpolation functions * `#13141 <https://github.com/scipy/scipy/pull/13141>`__: BUG: signal: Fix data type of the numerator returned by ss2tf. * `#13144 <https://github.com/scipy/scipy/pull/13144>`__: MAINT: stats: restrict gausshyper z > -1 * `#13146 <https://github.com/scipy/scipy/pull/13146>`__: typo in csr.py * `#13148 <https://github.com/scipy/scipy/pull/13148>`__: BUG: stats: fix typo in stable rvs per gh-12870 * `#13149 <https://github.com/scipy/scipy/pull/13149>`__: DOC: spatial/stats: cross-ref random rotation matrix functions * `#13151 <https://github.com/scipy/scipy/pull/13151>`__: MAINT: stats: Fix a test and a couple PEP-8 issues. * `#13152 <https://github.com/scipy/scipy/pull/13152>`__: MAINT: stats: Use np.take_along_axis in the private function... * `#13154 <https://github.com/scipy/scipy/pull/13154>`__: ENH: stats: Implement defined handling of constant inputs in... * `#13156 <https://github.com/scipy/scipy/pull/13156>`__: DOC: maintain equal display range for ndimage.zoom example * `#13159 <https://github.com/scipy/scipy/pull/13159>`__: CI: Azure: Don't run tests on merge commits, except for coverage * `#13160 <https://github.com/scipy/scipy/pull/13160>`__: DOC: stats: disambiguate location-shifted/noncentral * `#13161 <https://github.com/scipy/scipy/pull/13161>`__: BUG: DifferentialEvolutionSolver.__del__ can fail in garbage... * `#13163 <https://github.com/scipy/scipy/pull/13163>`__: BUG: stats: fix bug in spearmanr nan propagation * `#13167 <https://github.com/scipy/scipy/pull/13167>`__: MAINT: stats: Fix a test. * `#13169 <https://github.com/scipy/scipy/pull/13169>`__: BUG: stats: Fix handling of misaligned masks in mstats.pearsonr. * `#13178 <https://github.com/scipy/scipy/pull/13178>`__: CI: testing.yml --> macos.yml * `#13181 <https://github.com/scipy/scipy/pull/13181>`__: CI: fix lint * `#13190 <https://github.com/scipy/scipy/pull/13190>`__: BUG: optimize: fix a duplicate key bug for \`test_show_options\` * `#13192 <https://github.com/scipy/scipy/pull/13192>`__: BUG:linalg: Add overwrite option to gejsv wrapper * `#13194 <https://github.com/scipy/scipy/pull/13194>`__: BUG: slsqp should be able to use rel_step * `#13203 <https://github.com/scipy/scipy/pull/13203>`__: fix typos * `#13209 <https://github.com/scipy/scipy/pull/13209>`__: TST:linalg: set the seed for cossin test * `#13212 <https://github.com/scipy/scipy/pull/13212>`__: [DOC] Backtick and directive consistency. 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1 0

Inclusion of licenses
by Charles R Harris Dec. 10, 2020

Dec. 10, 2020

Hi All, Currently we append appropriate platform licenses to the LICENSE.txt file when building wheels for release. This means that there are uncommitted changes which shows up in the versioneer version as 'dirty', see the nightly files. This is unfortunate, but accurate :) There are at least two possible solutions to this problem. 1. Patch versioneer to omit the dirty string, very easy to do. 2. Put the platform specific file in the repo or combine them in the LICENSE file. I don't recall why we did things the way we do, but there was a discussion. Patching is easy, but the second option seems preferable. In particular, folks who now build their own NumPy wheels aren't going to have the license files. Chuck

2 3

Feature request: Alternative representation for arrays with many dimensions
by Fang Zhang Dec. 9, 2020

Dec. 9, 2020

By default, the __repr__ and __str__ functions of NumPy arrays summarize long arrays (i.e. omit all items but a few at beginning and end of each dimension), which is a good thing because when debugging, programmers can call print() on arrays with millions of elements without clogging the output or taking up too much CPU/memory (unsurprisingly, the string representation of an array item usually takes more bytes than its binary representation). However, this mechanic does not help when an array has a lot of short dimensions, e.g. np.arange(2 ** 20).reshape((2,) * 20). I often encounter such arrays in my work, and every once in a while I would try to print such an array without flattening it first (usually because I didn't know what shape or even what type the variable I was trying to print is), which has caused incidents ranging from losing everything in my scrollback buffer to crashing my computer by using too much memory. I think it may be a good idea to change the way NumPy pretty prints arrays with such shapes to avoid this situation. Something like "array([ 0, 1, 2, ..., 1048573, 1048574, 1048575]).reshape(2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2)" would be good enough for me. The condition to trigger such a representation can either be a fixed number of dimensions, or when after summarizing the pretty printer would still print more items than the threshold (1000 by default). Since the outputs of __repr__ and __str__ are meant for human eyes rather than computers, I think this should not cause too much of a compatibility problem. What do you all think? Sincerely, Fang Zhang

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