v0.5.1
* The Python 3.6.7 and 3.7.1 point releases changed the standard
tokenizer module in a way that broke patsy. Updated patsy to work
with these point releases.
This release contains the following changes from 0.14.0:
Enhancements
* "Reflect" mode in transforms now works fine when an image dimension has
size 1
* img_as_float now allows single-precision (32-bit) float arrays to pass
through unmodified, rather than being up-converted to 64-bit
* Speed up rgb2gray computation
* The scikit-image viewer now works with different PyQt versions
* The cycle_spin function for enhanced denoising works single-threaded when
dask is not installed now
* scikit-image's io module will no longer inadvertently set the matplotlib
backend when imported
* Fix deprecated get keyword from dask in favor of scheduler
* Add missing cval parameter to threshold_local
API changes
* Remove deprecated dynamic_range in measure.compare_psnr
0.14.0
New Features
* Lookfor function to search across the library: skimage.lookfor.
* nD support for skimage.transform.rescale, skimage.transform.resize,
and skimage.transform.pyramid_* transforms.
* Chan-Vese segmentation algorithm.
* Manual segmentation with matplotlib for fast data annotation:
skimage.future.manual_polygon_segmentation,
skimage.future.manual_lasso_segmentation.
* Hysteresis thresholding: skimage.filters.apply_hysteresis_threshold.
* Segmentation with morphological snakes:
skimage.segmentation.morphological_chan_vese (2D),
skimage.segmentation.morphological_geodesic_active_contour (2D and 3D).
* nD support for image moments: skimage.measure.moments_central,
skimage.measure.moments_central, skimage.measure.moments_normalized,
skimage.measure.moments_hu. This change leads to 3D/nD compatibility
for many regionprops.
* Image moments from coordinate input: skimage.measure.moments_coords,
skimage.measure.moments_coords_central.
* Added 3D support to blob_dog and blob_log.
* Inertia tensor and its eigenvalues can now be computed outside of
regionprops; available in skimage.measure.inertia_tensor.
* Cycle-spinning function for approximating shift-invariance by averaging
results from a series of spatial shifts: skimage.restoration.cycle_spin.
* Haar-like feature: skimage.feature.haar_like_feature,
skimage.feature.haar_like_feature_coord,
skimage.feature.draw_haar_like_feature.
* Data generation with random_shapes function: skimage.draw.random_shapes.
* Subset of LFW (Labeled Faces in the Wild) database:
skimage.data.cbcl_face_database.
* Fully reworked montage function (now with a better padding behavior):
skimage.util.montage.
* YDbDr colorspace conversion routines: skimage.color.rgb2ydbdr,
skimage.color.ydbdr2rgb.
Improvements
* VisuShrink method for skimage.restoration.denoise_wavelet.
* New max_ratio parameter for skimage.feature.match_descriptors.
* skimage.transform.resize and skimage.transform.rescale have a new
anti_aliasing option to avoid aliasing artifacts when down-sampling images.
* Support for multichannel images for skimage.feature.hog.
* Non-local means denoising (skimage.restoration.denoise_nl_means) has a new
optional parameter, sigma, that can be used to specify the noise standard
deviation. This enables noise-robust patch distance estimation.
* New alignment parameter in skimage.feature.plot_matches.
* New seed parameter in skimage.transform.probabilistic_hough_line.
* Various performance improvements.
API Changes
* skimage.util.montage. namespace has been removed, and
skimage.util.montage.montage2d function is now available as
skimage.util.montage2d.
* skimage.morphology.binary_erosion now uses True as border value, and is
now consistent with skimage.morphology.erosion.
Deprecations
* freeimage plugin has been removed from skimage.io.
* skimage.util.montage2d is deprecated and will be removed in 0.15.
Use skimage.util.montage function instead.
* skimage.novice is deprecated and will be removed in 0.16.
* skimage.transform.resize and skimage.transform.rescale have a new
anti_aliasing option that avoids aliasing artifacts when down-sampling
images. This option will be enabled by default in 0.15.
* regionprops will use row-column coordinates in 0.16.
* skimage.morphology.remove_small_holes min_size argument is deprecated
and will be removed in 0.16. Use area_threshold instead.
Upstream changes:
1.13
30 Oct 2018
- Add function pl_translate(), by request.
- Turn README into README.md. With MetaCPAN replacing CPAN,
there is no reason to have a plain-text README anymore
(MetaCPAN doesn't treat the file as special).
- Add a CONTRIBUTING.md file, which is becoming a thing.
- New test file for pl_translate(), and upgrade test files
that for some reason were still using Test::Simple to Test::More.
- Added an :all tag. Why not.
NumPy 1.15.4:
This is a bugfix release for bugs and regressions reported following the 1.15.3
release. The Python versions supported by this release are 2.7, 3.4-3.7. The
wheels are linked with OpenBLAS v0.3.0, which should fix some of the linalg
problems reported for NumPy 1.14.
NumPy 1.15.3:
This is a bugfix release for bugs and regressions reported following the 1.15.2
release. The Python versions supported by this release are 2.7, 3.4-3.7. The
wheels are linked with OpenBLAS v0.3.0, which should fix some of the linalg
problems reported for NumPy 1.14.
Upstream changes:
1.999815 2018-10-19
* Move bitwise operators signed and, signed or, and signed xor from
lib/Math/BigInt/CalcEmu.pm into lib/Math/BigInt/Lib.pm. The file
lib/Math/BigInt/CalcEmu.pm is no longer needed and thus removed.
1.999814 2018-10-01
* Add to_base() and from_base() to Math::BigInt and corresponding library
methods _to_base() and _from_base() to Math::BigInt::Lib. This was inspired
by CPAN RT #122681.
* Fix Makefile.PL to reflect that Test::More is only needed for testing, not
for building.
* In the documentation for each of the to_(bin|hex|oct|bytes) methods, add a
reference to the corresponding from_(bin|hex|oct|bytes) method.
Highlights:
Missing values in features, represented by NaNs, are now accepted in
column-wise preprocessing such as scalers. Each feature is fitted
disregarding NaNs, and data containing NaNs can be transformed. The
new impute module provides estimators for learning despite missing
data.
ColumnTransformer handles the case where different features or columns
of a pandas.DataFrame need different preprocessing. String or pandas
Categorical columns can now be encoded with OneHotEncoder or
OrdinalEncoder.
TransformedTargetRegressor helps when the regression target needs to
be transformed to be modeled. PowerTransformer and KBinsDiscretizer
join QuantileTransformer as non-linear transformations.
Added sample_weight support to several estimators (including KMeans,
BayesianRidge and KernelDensity) and improved stopping criteria in
others (including MLPRegressor, GradientBoostingRegressor and
SGDRegressor).
This release is also the first to be accompanied by a Glossary of
Common Terms and API Elements.
What is new in gsl-2.5:
** doc bug fix in binomial distribution figure
** added Wishart distribution
** added new module for digital filtering (gsl_filter); current filters include:
Gaussian filter
median filter
recursive median filter
impulse detection filter
** added new module for moving window statistics (gsl_movstat)
** added statistics functions:
gsl_stats_median()
gsl_stats_select()
gsl_stats_mad()
gsl_stats_mad0()
gsl_stats_Sn_from_sorted_data()
gsl_stats_Qn_from_sorted_data()
gsl_stats_gastwirth_from_sorted_data()
gsl_stats_trmean_from_sorted_data()
** added Romberg integration (gsl_integration_romberg)
** bug fix in deprecated functions gsl_multifit_wlinear_svd and
gsl_multifit_wlinear_usvd
** documention corrected to state that gsl_sf_legendre functions do
not include Condon-Shortley phase by default
** bug fix in exponential fitting example when using larger number
of points
** changed internal workspace inside gsl_spmatrix to a union to
avoid casting
** bug fixes in ode-initval2 for very rare solver crashing cases
** add histogram2d figure to manual (was missing in 2.4)
** bug fix in gsl_spmatrix_add for duplicate input arguments
** add support for negative arguments nu in gsl_sf_bessel_Jnu and
gsl_sf_bessel_Ynu
** better texinfo documentation for gsl_sf_hyperg functions
** fix vector and matrix fread/fwrite testing on windows systems
when tmpfile() fails
** fix for rstat/test.c on PPC64
NumPy 1.15.2:
This is a bugfix release for bugs and regressions reported following the 1.15.1
release.
* The matrix PendingDeprecationWarning is now suppressed in pytest 3.8.
* The new cached allocations machinery has been fixed to be thread safe.
* The boolean indexing of subclasses now works correctly.
* A small memory leak in PyArray_AdaptFlexibleDType has been fixed.
The Python versions supported by this release are 2.7, 3.4-3.7. The wheels are
linked with OpenBLAS v0.3.0, which should fix some of the linalg problems
reported for NumPy 1.14.
Changes:
* Reintroduced support for Yahoo! price, dividends, and splits data
for stocks and currency pairs.
* A new data connector for data provided by Alpha Vantage was
introduced to obtain Foreign Exchange (FX) data
* A new data connector for data provided by Alpha Vantage was
introduced to obtain historical time series data.
* A new data connector for data provided by Alpha Vantage was
introduced to obtain sector performance data.
* A new data connector for data provided by Alpha Vantage was
introduced to obtain real-time Batch Stock Quotes.
* Immediate deprecation of Google finance and Morningstar for
historical price data, as these API endpoints are no longer
supported by their respective providers. Alternate methods are
welcome via pull requests, as PDR would like to restore these
features.
* Removal of EDGAR, which was deprecated in v0.6.0.
### 1.1.8 / 20.08.2018
Author: VitaliyAdamkov <adamkov@tex.ua>
Date: Mon Aug 20 09:48:31 2018 +0300
* Cancel :lazy usage
* Use lazy select to speed up a little
* Omit rails :try usage
* stub for :postread_worksheet method
* sometimes it selects empty array..
Author: 545ch4 <s@rprojekt.org>
Date: Wed Mar 28 15:33:04 2018 +0200
* [ruby-2.4] Fix weird first line of spreadsheet.gemspec
* Doesn't seem to be a valid .gemspec command/field.
An R interface to the NetCDF file format designed by Unidata for
efficient storage of array-oriented scientific data and descriptions.
The R interface is closely based on the C API of the NetCDF library,
and it includes calendar conversions from the Unidata UDUNITS library.
The current implementation supports all operations on NetCDF datasets
in classic and 64-bit offset file formats, and NetCDF4-classic format
is supported for reading and modification of existing files.
From Kai-Uwe Eckhardt, updated as the previous distfile wasn't available.
PR pkg/51607
0.79 - 29 Aug 2018, H.Merijn Brand
* Environmant control hardening
* ReadData () docs (opening from scalar ref: issue#21)
* Check for XLSX content on opening from plain scalar content
* Fix typo in ss-dup-tk.pl (PRC, Branislav Zahradnik)
* Allow source from command line option in xls2csv (PRC, Branislav Zahradnik)
* Allow --in-sep=tab in xlscat/xlsgrep
* Add --hash to xlscat/xlsgrep
* Help and usage for examples/xls2csv PR#23)
0.71 2018-08-28
[ADDED]
- forfactored { ... } a,b loop n=a..b setting $_=n, @_=factor(n)
- forsquarefree { ... } a,b as forfactored, but only square-free n
- forsemiprimes { ... } a,b as forcomposites, but only semiprimes
- random_factored_integer(n) random [1..n] w/ array ref of factors
- semiprime_count([lo],hi) counts semiprimes in range
[FIXES]
- Monolithic sieves beyond 30*2^32 (~ 1.2 * 10^11) overflowed.
- is_semiprime was wrong for five small values since 0.69. Fixed.
[FUNCTIONALITY AND PERFORMANCE]
- is_primitive_root much faster (doesn't need to calulate totient,
and faster rejection when n has no primitive root).
- znprimroot and znorder use Montgomery, 1.2x to 2x faster.
- slightly faster sieve_range for native size inputs (use factor_one).
- bin/primes.pl faster for palindromic primes and works for 10^17
[OTHER]
- Added ability to use -DBENCH_SEG for benchmarking sieves using
prime_count and ntheory::_segment_pi without table optimizations.
- Reorg of main factor loop. Should be identical from external view.
- Internal change to is_semiprime and is_catalan_pseudoprime.
Upstream changes:
Version 0.4-91
Fixed a bug in heatmap.circular
Version 0.4-8 2014/08/08
minusPiPlusPi now accepts missing values
Added the start.sep argument to plot.circular and points.circular. Also the internal function PointsCircularRad has changed the API.
Upstream changes:
Changes in version 1.0-8 (2018-05-31)
o pmvt(..., sigma = ) was ignored in the univariate case
(reported by Alec Stephenson)
o documentation updates
Changes in version 1.0-7 (2018-01-25)
o pmvt(..., df = ) is scalar only
Upstream changes:
1.8-3 (2018-08-29)
* Changed listOfTablesGallery vignette to exclude references to
lsmeans since Russell Lenth has deprecated lsmeans, replacing it
with emmeans which has support for tables using xtable based on
listOfTables. lsmeans removed from Suggests in DESCRIPTION also.
* Changed OtherPackagesGallery vignette example using the function
impacts from spdep due to a change in the package spdep causing a
failure ofr the example using gstslshet from sphet
* Changed error messages to extract actual value of nrow(x),
suggestion by Michael Chirico <michaelchirico4@gmail.com>
* Corrected author field to properly represent author contributions,
code supplied by Arni Magnusson <arnima@hafro.is>
* Corrected call to print.xtable inside print.xtableFtable included
arguments from call to print.xtableFtable. Absence of size
argument was advised by Lluis Ramon, email March 4, 2016
* Added patch from Martin Gubri, martin.gubri@framasoft.org to
enable use of lagImpactMat from spdep in xtable method lagImpact.
* Added patch to code in OtherPackagesGallery.Rnw supplied by Martin
Gubri to avoid warnings in the spdep package example. Also fixed the
vignette index entry.
* Fixed number of columns in \multicolumn command in print.xtableList to
deal with inclusion of row names. Previously was only appropriate for
row names not included.
Upstream changes:
Changed in xts 0.11-0:
o Fix make.index.unique() to always return a unique and sorted index. Thanks
to Chris Katsulis for the report and example (#241).
o Add window.xts() method and completely refactor the internal binary search
function it depends on. Thanks to Corwin Joy for the PR, tests, review, and
patience (#100, #240).
o Better axis tick mark locations for plots. Thanks to Dirk Eddelbuettel for
the report (#246). Also incorporate axTicksByTime2() into axTicksByTime() to
reduce code duplication from the migration of quantmod::chart_Series() to
xts::plot.xts() (#74).
o Add details to plot.xts() parameters that are periodicity, now that RStudio
has argument completion. Thanks to Evelyn Mitchell for the PR (#154).
o periodicity() now warns instead of errors if the xts object contains less
than 2 observations (#230).
o first() and last() now keep dims when they would otherwise be dropped by a
regular row subset. This is consistent with head() and tail(). Thanks to
Davis Vaughan for the report (#226).
o Fix subset when ISO8601 string is outside the valid range, so it returns no
data instead of all rows (#96).
o Avoid partial name matches from parse.side() (inside .parseISO8601())
results that are passed to firstof() and lastof(). Thanks to @gp2x for the
report and the patch (#231).
o na.locf.xts() now loops over columns of multivariate objects in C code,
instead of in R. This should improve speed and memory performance. Thanks to
Chris Katsulis and Tom Andrews for their reports and patches (#232, #233,
#234, #235, #237).
o Change plot.xts() default 'pch = 0' (rectangles) to 'pch = 1' (circles) so
it looks more like base and zoo plots (#203).
Changed in xts 0.10-2:
o na.locf.xts() and na.omit.xts() now support character xts objects. Thanks to
Ken Williams and Samo Pahor for the reports (#42).
o na.locf.xts() now honors 'x' and 'xout' arguments by dispatching to the next
method (#215). Thanks to Morten Grum for the report.
o coredata.xts() now functions the same as coredata.zoo() on zero-length
objects, and only removes xts-related attributes (#223). Thanks to Vincent
Guyader for the report.
o plot.xts() no longer ignores 'col.up' and 'col.dn' when 'type="h"' (#224).
Thanks to Charlie Friedemann for the report. This was inadvertently broken
as part of the fix for #210.
Changes from 2.6.7 to 2.6.8
---------------------------
- Add check to make sure that f_locals is not actually f_globals when we
do the f_locals clear to avoid the 310 memory leak issue.
- Compare NumPy versions using distutils.version.LooseVersion to avoid issue
312 when working with NumPy development versions.
- As part of multibuild, wheels for Python 3.7 for Linux and MacOSX are now
available on PyPI
Version 0.39.0
Here are the highlights for the Numba 0.39.0 release.
This is the first version that supports Python 3.7.
With help from Intel, we have fixed the issues with SVML support.
List has gained support for containing reference-counted types like NumPy arrays and list. Note, list still cannot hold heterogeneous types.
We have made a significant change to the internal calling-convention, which should be transparent to most users, to allow for a future feature that will permitting jumping back into python-mode from a nopython-mode function. This also fixes a limitation to print that disabled its use from nopython functions that were deep in the call-stack.
For CUDA GPU support, we added a __cuda_array_interface__ following the NumPy array interface specification to allow Numba to consume externally defined device arrays. We have opened a corresponding pull request to CuPy to test out the concept and be able to use a CuPy GPU array.
The Numba dispatcher inspect_types() method now supports the kwarg pretty which if set to True will produce ANSI/HTML output, showing the annotated types, when invoked from ipython/jupyter-notebook respectively.
The NumPy functions ndarray.dot, np.percentile and np.nanpercentile, and np.unique are now supported.
Numba now supports the use of a per-project configuration file to permanently set behaviours typically set via NUMBA_* family environment variables.
Support for the ppc64le architecture has been added.
