### 1.1.6 / 12.03.2018
Author: Todd Hambley <thambley@travelleaders.com>
Date: Mon Mar 12 14:20:39 2018 -0400
* fix reject for ruby 1.8.7
* fix using invalid code pages when writing workbook
### 1.1.5 / 20.11.2017
Author: Paco Guzmán <pacoguzman@users.noreply.github.com>
Date: Sun Nov 19 18:10:57 2017 +0100
* Avoid creating a class variable, that variable cannot be garbage collected and it retains a lot of memory
I forgot to patch this part in the latest update; sorry.
This has now been submitted upstream as well.
Originally from dholland@.
Compile-tested on NetBSD/amd64.
Bump PKGREVISION.
1.14.2:
This is a bugfix release for some bugs reported following the 1.14.1 release. The major
problems dealt with are as follows.
Residual bugs in the new array printing functionality.
Regression resulting in a relocation problem with shared library.
Improved PyPy compatibility.
From the release notes:
New features:
- New theories of strings and sequences.
- Incremental consequence finder for finite domains.
- CMake build system (thanks @delcypher).
- Updated and improved OCaml API (thanks @martin-neuhaeusser).
- Updated and improved Java API (thanks @cheshire).
- New resource limit facilities to avoid non-deterministic timeout behaviour.
- New bit-vector simplification and ackermannization tactics (thanks @MikolasJanota, @nunoplopes).
- QSAT: a new solver for quantified arithmetic problems. See:
Bjorner, Janota: Playing with Quantified Satisfaction, LPAR 2016.
A multitude of bugs has been fixed.
I am about to commit a separate package for the Python bindings.
Coordinated with dholland@
Changes:
- Updated to version 3.3.4 of Eigen
- Condition long long use on C++11.
- Pragmas for g++ & clang to suppress diagnostics messages are
disabled per CRAN Policy; use -Wno-ignored-attributes to quieten.
This package was already using libblas from the Accelerate framework
on Darwin through /usr/lib/libblas.dylib. This change makes it
explicit and removes unnecessary dependencies on math/blas and
math/lapack.
Bump PKGREVISION.
Methods for calculating (usually) accurate numerical first and second
order derivatives. Accurate calculations are done using 'Richardson”s'
extrapolation or, when applicable, a complex step derivative is
available. A simple difference method is also provided. Simple
difference is (usually) less accurate but is much quicker than
'Richardson”s' extrapolation and provides a useful cross-check.
Methods are provided for real scalar and vector valued functions.
coda provides functions for summarizing and plotting the output from
Markov Chain Monte Carlo (MCMC) simulations, as well as diagnostic
tests of convergence to the equilibrium distribution of the Markov
chain.
The poweRlaw package is an implementation of maximum likelihood
estimators for a variety of heavy tailed distributions, including both
the discrete and continuous power law distributions. Additionally, a
goodness-of-fit based approach is used to estimate the lower cut-off
for the scaling region.
A framework for performing elementary probability calculations on
finite sample spaces, which may be represented by data frames or
lists. Functionality includes setting up sample spaces, counting
tools, defining probability spaces, performing set algebra,
calculating probability and conditional probability, tools for
simulation and checking the law of large numbers, adding random
variables, and finding marginal distributions. Characteristic
functions for all base R distributions are included.
Notable changes since 0.3.1:
- dbGetInfo() gains a default method.
- New generic dbBind() for binding values to a parameterised query.
- DBI gains a number of SQL generation functions.
- dbDataType() maps character values to "TEXT" by default.
- The default implementation of dbQuoteString() doesn’t call
encodeString() anymore.
- Deprecated dbDriver() and dbUnloadDriver().
- Import updated specs from DBItest.
- Require R>=3.0.0.
Fix building math/z3 in privileged mode when not building as root:
ocamlfind: Cannot mkdir /usr/pkg/lib/ocaml/site-lib/Z3: Permission denied
This now uses the option -destdir when calling ocamlfind(1). It also
includes a workaround for what might be a bug in ocamlfind(1), where it
also wants to update ld.conf in spite of specifying -destdir.
Tested on NetBSD/amd64.
ok dholland@
NumPy 1.14.1 Release Notes
This is a bugfix release for some problems reported following the 1.14.0 release. The major
problems fixed are the following.
Problems with the new array printing, particularly the printing of complex
values, Please report any additional problems that may turn up.
Problems with np.einsum due to the new optimized=True default. Some
fixes for optimization have been applied and optimize=False is now the
default.
The sort order in np.unique when axis=<some-number> will now always
be lexicographic in the subarray elements. In previous NumPy versions there
was an optimization that could result in sorting the subarrays as unsigned
byte strings.
The change in 1.14.0 that multi-field indexing of structured arrays returns a
view instead of a copy has been reverted but remains on track for NumPy 1.15.
Affected users should read the 1.14.1 Numpy User Guide section
"basics/structured arrays/accessing multiple fields" for advice on how to
manage this transition.
Changes from version 4.0.0 to version 4.0.1:
- Improved MPFR manual.
- Improved __GMP_CC and __GMP_CFLAGS retrieval (in particular for MS Windows).
- Fixed a build failure on some platforms when --with-gmp-build is used.
- Bug fixes (see ChangeLog file), in particular in mpfr_div_ui, which
could yield an incorrectly rounded result to nearest when using
different precisions; this bug had been present since the introduction
of mpfr_div_ui, and in MPFR 4.0.0, it was affecting mpfr_div too.
- New: optional "make check-exported-symbols", mainly for the MPFR developers
and binary distributions, to check that MPFR does not define symbols with a
GMP reserved prefix (experimental).
