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As per https://mail-index.netbsd.org/pkgsrc-users/2018/02/03/msg026233.html
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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.
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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.
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### 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.
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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
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Changes not found
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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)
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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.
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Update comment about upstream bug reports about test failures.
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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.
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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
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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.
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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.
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1.4.4:
Unknown changes
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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
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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.
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to 20.0. Please consult https://fractint.org/ftp/current/dos/whatsnew.txt
for an approximate understanding of what's new since 3.10 (the previous
version in pkgsrc).
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NumPy 1.15.1:
This is a bugfix release for bugs and regressions reported following the 1.15.0
release.
* The annoying but harmless RuntimeWarning that "numpy.dtype size changed" has
been suppressed. The long standing suppression was lost in the transition to
pytest.
* The update to Cython 0.28.3 exposed a problematic use of a gcc attribute used
to prefer code size over speed in module initialization, possibly resulting in
incorrect compiled code. This has been fixed in latest Cython but has been
disabled here for safety.
* Support for big-endian and ARMv8 architectures has been improved.
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.
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3.0701 2018-07-14
- Typo corrections thanks to Debian
3.0700 2018-07-13
- Typo corrections thanks to Debian
- Added the ->summary() method to Statistics::Descriptive::Full.
- https://rt.cpan.org/Public/Bug/Display.html?id=82852
- Thanks to Su-Shee
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1.14 2018-06-25 05:29:49 -0400
- Production release identical to 1.12_01
1.12_01 2018-06-25 03:34:28 +0000
- Remove dependency on Alien::Role::Alt
This Role is no longer necessary, as the capability of that role
has been merged into the Alien::Build core.
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The purpose of this perl module is to calculate the median (or in
principle also other statistics) with confidence intervals on a sample.
To do that, it uses a technique called bootstrapping. In a nutshell, it
resamples the sample a lot of times and for each resample, it calculates
the median. From the distribution of medians, it then calculates the
confidence limits.
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This perl class is a container class for numbers with a number of
associated symmetric and asymmetric errors. It overloads practically
all common arithmetic operations and trigonometric functions to
propagate the errors. It can do proper scientific rounding.
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Upstream changes:
1.12
26 Jun 2018
- Typo found by Florian Schlichting fixed.
- Add gcd() and lcm() functions.
- New example scripts (a couple transferred over from
Math::Polynomial::Solve) in the new eg/ directory.
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3.0:
Added support for Python 3.5, 3.6 and PyPy3.
Dropped support for Python 2.6 and 3.3.
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From wiz, thanks.
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the update. skip checking for workdir references for liboctinterp which
doesn't seem to actually make references (maybe it's debug info?)
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Gnumeric 1.12.42
Morten:
* Plug leaks.
* Introspection fixes.
* Work around gtk+ breakage re. link colors.
* Fix problems with ssconvert --export-file-per-sheet. [#694408]
* Enable ssconvert --export-file-per-sheet for html, latex, and pdf.
* Test suite improvements.
* ssconvert improvements.
* Makefile improvements.
* Don't save any configuration when running ssconvert/ssdiff/...
* Turn GnmFunc into a GObject.
* Make clipboard output deterministic.
* Fix conditional format crash [#343].
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Use math/gnumeric112 instead.
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We provide easy to configure, lightweight open source C++, Java,
JavaScript, Python libraries and a LibreOffice Spreadsheet extension
for number to number name conversion, including cardinal and ordinal
numbers, ordinal indicators and money amounts with currencies in
more than 40 languages and numeral systems.
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Changes from 2.6.6 to 2.6.7
* Thanks to Lehman Garrison for finding and fixing a bug that exhibited memory leak-like behavior. The use in numexpr.evaluate of sys._getframe combined with .f_locals from that frame object results an extra refcount on objects in the frame that calls numexpr.evaluate, and not evaluate’s frame. So if the calling frame remains in scope for a long time (such as a procedural script where numexpr is called from the base frame) garbage collection would never occur.
* Imports for the numexpr.test submodule were made lazy in the numexpr module.
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0.9.6:
Unknown changes.
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octave forge control, sparing the need to understand how to patch
fortran 77 code.
Fixes PR pkg/52449.
bump PKGREVISION.
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