Update dependency scipy to ~=1.14.1,<1.15.0 #68
No reviewers
Labels
No Label
Kind/Breaking
Kind/Bug
Kind/Documentation
Kind/Enhancement
Kind/Feature
Kind/Security
Kind/Testing
Priority
Critical
Priority
High
Priority
Low
Priority
Medium
Reviewed
Confirmed
Reviewed
Duplicate
Reviewed
Invalid
Reviewed
Won't Fix
Status
Abandoned
Status
Blocked
Status
Need More Info
No Milestone
No Assignees
1 Participants
Notifications
Due Date
No due date set.
Dependencies
No dependencies set.
Reference: profitroll/PhotosAPI#68
Loading…
Reference in New Issue
Block a user
No description provided.
Delete Branch "renovate/scipy-1.x"
Deleting a branch is permanent. Although the deleted branch may continue to exist for a short time before it actually gets removed, it CANNOT be undone in most cases. Continue?
This PR contains the following updates:
~=1.13.0,<1.14.0
->~=1.14.1,<1.15.0
Release Notes
scipy/scipy (scipy)
v1.14.1
: SciPy 1.14.1Compare Source
SciPy 1.14.1 Release Notes
SciPy
1.14.1
adds support for Python3.13
, including binarywheels on PyPI. Apart from that, it is a bug-fix release with
no new features compared to
1.14.0
.Authors
A total of 17 people contributed to this release.
People with a "+" by their names contributed a patch for the first time.
This list of names is automatically generated, and may not be fully complete.
v1.14.0
: SciPy 1.14.0Compare Source
SciPy 1.14.0 Release Notes
SciPy
1.14.0
is the culmination of 3 months of hard work. It containsmany 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 forDeprecationWarning
s).Our development attention will now shift to bug-fix releases on the
1.14.x branch, and on adding new features on the main branch.
This release requires Python
3.10+
and NumPy1.23.5
or greater.For running on PyPy, PyPy3
6.0+
is required.Highlights of this release
has wheels built against Accelerate for macOS >=14 resulting in significant
performance improvements for many linear algebra operations.
cobyqa
, has been added toscipy.optimize.minimize
- thisis an interface for COBYQA (Constrained Optimization BY Quadratic
Approximations), a derivative-free optimization solver, designed to
supersede COBYLA, developed by the Department of Applied Mathematics, The
Hong Kong Polytechnic University.
scipy.sparse.linalg.spsolve_triangular
is now more than an order ofmagnitude faster in many cases.
New features
scipy.fft
improvementsscipy.fft.prev_fast_len
, has been added. This functionfinds the largest composite of FFT radices that is less than the target
length. It is useful for discarding a minimal number of samples before FFT.
scipy.io
improvementswavfile
now supports reading and writing ofwav
files in the RF64format, allowing files greater than 4 GB in size to be handled.
scipy.constants
improvementsscipy.interpolate
improvementsscipy.interpolate.Akima1DInterpolator
now supports extrapolation via theextrapolate
argument.scipy.optimize
improvementsscipy.optimize.HessianUpdateStrategy
now also accepts square arrays forinit_scale
.cobyqa
, has been added toscipy.optimize.minimize
- thisis an interface for COBYQA (Constrained Optimization BY Quadratic
Approximations), a derivative-free optimization solver, designed to
supersede COBYLA, developed by the Department of Applied Mathematics, The
Hong Kong Polytechnic University.
scipy.optimize.differential_evolution
.scipy.optimize.approx_fprime
now has linear space complexity.scipy.signal
improvementsscipy.signal.minimum_phase
has a new argumenthalf
, allowing theprovision of a filter of the same length as the linear-phase FIR filter
coefficients and with the same magnitude spectrum.
scipy.sparse
improvementsThese are all the formats we currently intend to support 1D shapes.
Other sparse array formats raise an exception for 1D input.
Results are still COO format sparse arrays for min/nanmin and
dense
np.ndarray
for argmin.csr_array
orcsc_array
yields 1D (CSC) arrays.repr
andstr
output.dia_array
by ascalar, which avoids a potentially costly conversion to CSR format.
scipy.sparse.csgraph.yen
has been added, allowing usage of Yen's K-ShortestPaths algorithm on a directed on undirected graph.
scipy.sparse.linalg.spsolve_triangular
is now more than an order ofmagnitude faster in many cases.
scipy.spatial
improvementsRotation
supports an alternative "scalar-first" convention of quaternioncomponent ordering. It is available via the keyword argument
scalar_first
of
from_quat
andas_quat
methods.Rotation
objects.scipy.special
improvementsscipy.special.log_wright_bessel
, for calculation of the logarithm ofWright's Bessel function.
scipy.special.hyp2f1
calculations has improvedsubstantially.
boxcox
,inv_boxcox
,boxcox1p
, andinv_boxcox1p
by preventing premature overflow.scipy.stats
improvementsscipy.stats.power
can be used for simulating the powerof a hypothesis test with respect to a specified alternative.
scipy.stats.irwinhall
.scipy.stats.mannwhitneyu
are much fasterand use less memory.
scipy.stats.pearsonr
now accepts n-D arrays and computes the statisticalong a specified
axis
.scipy.stats.kstat
,scipy.stats.kstatvar
, andscipy.stats.bartlett
are faster at performing calculations along an axis of a large n-D array.
Array API Standard Support
Experimental support for array libraries other than NumPy has been added to
existing sub-packages in recent versions of SciPy. Please consider testing
these features by setting an environment variable
SCIPY_ARRAY_API=1
andproviding PyTorch, JAX, or CuPy arrays as array arguments.
As of 1.14.0, there is support for
scipy.cluster
scipy.fft
scipy.constants
scipy.special
: (select functions)scipy.special.log_ndtr
scipy.special.ndtr
scipy.special.ndtri
scipy.special.erf
scipy.special.erfc
scipy.special.i0
scipy.special.i0e
scipy.special.i1
scipy.special.i1e
scipy.special.gammaln
scipy.special.gammainc
scipy.special.gammaincc
scipy.special.logit
scipy.special.expit
scipy.special.entr
scipy.special.rel_entr
scipy.special.xlogy
scipy.special.chdtrc
scipy.stats
: (select functions)scipy.stats.describe
scipy.stats.moment
scipy.stats.skew
scipy.stats.kurtosis
scipy.stats.kstat
scipy.stats.kstatvar
scipy.stats.circmean
scipy.stats.circvar
scipy.stats.circstd
scipy.stats.entropy
scipy.stats.variation
scipy.stats.sem
scipy.stats.ttest_1samp
scipy.stats.pearsonr
scipy.stats.chisquare
scipy.stats.skewtest
scipy.stats.kurtosistest
scipy.stats.normaltest
scipy.stats.jarque_bera
scipy.stats.bartlett
scipy.stats.power_divergence
scipy.stats.monte_carlo_test
Deprecated features
scipy.stats.gstd
,scipy.stats.chisquare
, andscipy.stats.power_divergence
have deprecated support for masked arrayinput.
scipy.stats.linregress
has deprecated support for specifying both samplesin one argument;
x
andy
are to be provided as separate arguments.conjtransp
method forscipy.sparse.dok_array
andscipy.sparse.dok_matrix
has been deprecated and will be removed in SciPy1.16.0.
quadrature="trapz"
inscipy.integrate.quad_vec
has beendeprecated in favour of
quadrature="trapezoid"
and will be removed inSciPy 1.16.0.
scipy.special.{comb,perm}
have deprecated support for use ofexact=True
inconjunction with non-integral
N
and/ork
.Backwards incompatible changes
scipy.stats
functions now produce a standardized warning message whenan input sample is too small (e.g. zero size). Previously, these functions
may have raised an error, emitted one or more less informative warnings, or
emitted no warnings. In most cases, returned results are unchanged; in almost
all cases the correct result is
NaN
.Expired deprecations
There is an ongoing effort to follow through on long-standing deprecations.
The following previously deprecated features are affected:
Several previously deprecated methods for sparse arrays were removed:
asfptype
,getrow
,getcol
,get_shape
,getmaxprint
,set_shape
,getnnz
, andgetformat
. Additionally, the.A
and.H
attributes were removed.scipy.integrate.{simps,trapz,cumtrapz}
have been removed in favour ofsimpson
,trapezoid
, andcumulative_trapezoid
.The
tol
argument ofscipy.sparse.linalg.{bcg,bicstab,cg,cgs,gcrotmk, mres,lgmres,minres,qmr,tfqmr}
has been removed in favour ofrtol
.Furthermore, the default value of
atol
for these functions has changedto
0.0
.The
restrt
argument ofscipy.sparse.linalg.gmres
has been removed infavour of
restart
.The
initial_lexsort
argument ofscipy.stats.kendalltau
has beenremoved.
The
cond
andrcond
arguments ofscipy.linalg.pinv
have beenremoved.
The
even
argument ofscipy.integrate.simpson
has been removed.The
turbo
andeigvals
arguments fromscipy.linalg.{eigh,eigvalsh}
have been removed.
The
legacy
argument ofscipy.special.comb
has been removed.The
hz
/nyq
argument ofsignal.{firls, firwin, firwin2, remez}
hasbeen removed.
Objects that weren't part of the public interface but were accessible through
deprecated submodules have been removed.
float128
,float96
, and object arrays now raise an error inscipy.signal.medfilt
andscipy.signal.order_filter
.scipy.interpolate.interp2d
has been replaced by an empty stub (to beremoved completely in the future).
Coinciding with changes to function signatures (e.g. removal of a deprecated
keyword), we had deprecated positional use of keyword arguments for the
affected functions, which will now raise an error. Affected functions are:
sparse.linalg.{bicg, bicgstab, cg, cgs, gcrotmk, gmres, lgmres, minres, qmr, tfqmr}
stats.kendalltau
linalg.pinv
integrate.simpson
linalg.{eigh,eigvalsh}
special.comb
signal.{firls, firwin, firwin2, remez}
Other changes
standard remains C++17.
This results in significant performance improvements for linear algebra
operations, as well as smaller binary wheels.
to run the cross interpreter.
parts of SciPy.
Authors
A total of 85 people contributed to this release.
People with a "+" by their names contributed a patch for the first time.
This list of names is automatically generated, and may not be fully complete.
Configuration
📅 Schedule: Branch creation - At any time (no schedule defined), Automerge - At any time (no schedule defined).
🚦 Automerge: Enabled.
♻ Rebasing: Whenever PR becomes conflicted, or you tick the rebase/retry checkbox.
🔕 Ignore: Close this PR and you won't be reminded about this update again.
This PR has been generated by Renovate Bot.
Renovate Ignore Notification
Because you closed this PR without merging, Renovate will ignore this update (~=1.14.1,<1.15.0). You will get a PR once a newer version is released. To ignore this dependency forever, add it to the
ignoreDeps
array of your Renovate config.If you accidentally closed this PR, or if you changed your mind: rename this PR to get a fresh replacement PR.
Pull request closed