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building this inside of gcc.
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Generate and process all the all the permutations of a list using
the standard Perl metaphor.
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=== 0.6.9 / 28.04.2012
* Yield is more simple here too.
* No need to capture the block in Spreadsheet.open
* Rather than extending a core class, let's just use #rcompact from a helper module
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pkg/44107, tested on SunOS and NetBSD. More can be found information here:
http://projects.scipy.org/numpy/ticket/1101
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Changes from versions 3.0.* to version 3.1.0:
- The "canard à l'orange" release.
- The MPFR source has been reorganized.
- Dropped ansi2knr support.
- TLS support is now detected automatically. If TLS is supported, MPFR is
built as thread safe by default. To disable TLS explicitly, configure
MPFR with --disable-thread-safe.
- New --enable-gmp-internals configure option to use GMP's undocumented
functions (not from the public API). Note that library versioning is
not guaranteed to work if this option is used.
- The mpfr_urandom and mpfr_urandomb functions now return identical values
on processors with different word size (assuming the same random seed, and
since the GMP random generator does not depend itself on the word size,
cf http://gmplib.org/list-archives/gmp-devel/2010-September/001642.html).
- The mpfr_add_one_ulp and mpfr_sub_one_ulp macros (which are obsolete and
no more documented) will be removed in a future release.
- Speed improvement for the mpfr_sqr and mpfr_div functions using Mulders'
algorithm. As a consequence, other functions using those routines are
also faster.
- Much faster formatted output (mpfr_printf, etc.) with %Rg and similar.
- The --with-gmp-build configure option can now be used when the GMP
source directory and the GMP build directory are different (without
having to copy header files manually as before).
- New functions mpfr_buildopt_gmpinternals_p, mpfr_buildopt_tune_case,
mpfr_frexp, mpfr_grandom and mpfr_z_sub.
- New divide-by-zero exception (flag) and associated functions.
- The mpfr.h header can be included several times, while still supporting
optional functions (see Section "Headers and Libraries" in the manual).
- Updated tuning parameters.
- Improved MPFR manual.
- MPFR tests: libtool no longer generates wrapper scripts with "make check"
(so that running the tests under valgrind or gdb is easier).
- Bug fixes.
Note: The mpfr_subnormalize implementation up to MPFR 3.0.0 did not change
the flags. In particular, it did not follow the generic rule concerning
the inexact flag (and no special behavior was specified). The case of the
underflow flag was more a lack of specification.
NetBSD-6.99.4/amd64:
All 160 tests passed
(1 test was not run)
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changes: any new features, performance improvements and bug fixes,
Some highlights are:
-Re-introduction of datetime dtype support to deal with dates in arrays.
-A new 16-bit floating point type.
-A new iterator, which improves performance of many functions.
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Functions for inference in generalised linear spatial models. The
posterior and predictive inference is based on Markov chain Monte
Carlo methods. Package geoRglm is an extension to the package geoR,
which must be installed first.
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Database interface and PostgreSQL driver for R. This package provides
a Database Interface (DBI) compliant driver for R to access PostgreSQL
database systems. A wiki and issue tracking system for the package
are available at Google Code at https://code.google.com/p/rpostgresql/.
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A database interface (DBI) definition for communication between R and
relational database management systems. All classes in this package
are virtual and need to be extended by the various R/DBMS
implementations.
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A package with classes and methods for spatio-temporal data. In
particular, space-time regular lattices, sparse lattices, and
irregular data are supported, with limited support for trajectories,
but not for topologies with S/T interactions such as space-time
prisms. Utility functions are provided for plotting data as map
sequences (lattice or animation) or multiple time series; for spatial
and temporal selection, as well as methods for retrieving coordinates,
for subsetting, print, summary, etc.
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Provide for uniform handling of R's different time-based data classes
by extending zoo, maximizing native format information preservation
and allowing for user level customization and extension, while
simplifying cross-class interoperability.
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An S3 class with methods for totally ordered indexed observations. It
is particularly aimed at irregular time series of numeric
vectors/matrices and factors. Zoo's key design goals are independence
of a particular index/date/time class and consistency with ts and base
R by providing methods to extend standard generics.
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The packages provides palettes for drawing nice maps shaded according
to a variable.
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