Fink

Recent Package Updates

2017-09-23: cran-binda-r32-1.0.3-2 (Multi-Class Discriminant Analysis)
The "binda" package implements functions for multi-class discriminant
analysis using binary predictors, for corresponding variable selection,
and for dichotomizing continuous data.

commit log from nieder:
r34
2017-09-23: cran-bayestree-r33-0.3-1.4-1 (Bayesian Methods for Tree Based Models)
Implementation of BART:Bayesian Additive Regression Trees,
Chipman, George, McCulloch (2009)

commit log from nieder:
r34
2017-09-23: cran-baseline-r32-1.2-1-1 (Baseline Correction of Spectra)
Collection of baseline correction algorithms, along with a
framework and a GUI for optimising baseline algorithm parameters.

commit log from nieder:
r34
2017-09-23: cran-biomark-r34-0.4.5-1 (Find biomarkers in two-class discrimination)
The package provides biomarker selection for several classification
methods: the lasso/elastic net, PCLDA, PLSDA, and several t-tests.
Two approaches are provided, one based on the stability of model
coefficients under perturbation, and the other on higher criticism.

commit log from nieder:
r34
2017-09-23: cran-arulesviz-r34-1.3-0-1 (Visualizing Association Rules)
Various visualization techniques for association rules and itemsets.
The packages also includes several interactive visualizations for
rule exploration. This package extends package arules.

commit log from nieder:
r34
2017-09-23: cran-binda-r34-1.0.3-2 (Multi-Class Discriminant Analysis)
The "binda" package implements functions for multi-class discriminant
analysis using binary predictors, for corresponding variable selection,
and for dichotomizing continuous data.

commit log from nieder:
r34
2017-09-23: cran-bayestree-r31-0.3-1.4-1 (Bayesian Methods for Tree Based Models)
Implementation of BART:Bayesian Additive Regression Trees,
Chipman, George, McCulloch (2009)

commit log from nieder:
r34
2017-09-23: cran-bayestree-r32-0.3-1.4-1 (Bayesian Methods for Tree Based Models)
Implementation of BART:Bayesian Additive Regression Trees,
Chipman, George, McCulloch (2009)

commit log from nieder:
r34
2017-09-23: cran-baseline-r33-1.2-1-1 (Baseline Correction of Spectra)
Collection of baseline correction algorithms, along with a
framework and a GUI for optimising baseline algorithm parameters.

commit log from nieder:
r34
2017-09-23: cran-arulesviz-r33-1.3-0-1 (Visualizing Association Rules)
Various visualization techniques for association rules and itemsets.
The packages also includes several interactive visualizations for
rule exploration. This package extends package arules.

commit log from nieder:
r34
2017-09-23: cran-baseline-r34-1.2-1-1 (Baseline Correction of Spectra)
Collection of baseline correction algorithms, along with a
framework and a GUI for optimising baseline algorithm parameters.

commit log from nieder:
r34
2017-09-23: cran-biomark-r33-0.4.5-1 (Find biomarkers in two-class discrimination)
The package provides biomarker selection for several classification
methods: the lasso/elastic net, PCLDA, PLSDA, and several t-tests.
Two approaches are provided, one based on the stability of model
coefficients under perturbation, and the other on higher criticism.

commit log from nieder:
r34
2017-09-23: cran-bayesm-r34-3.1-0.1-1 (Various R programming tools)
bayesm covers many important models used in marketing and micro-
econometrics applications. The package includes: Bayes Regression
(univariate or multivariate dep var), Bayes Seemingly Unrelated
Regression (SUR), Binary and Ordinal Probit, Multinomial Logit
(MNL) and Multinomial Probit (MNP), Multivariate Probit, Negative
Binomial (Poisson) Regression, Multivariate Mixtures of Normals
(including clustering), Dirichlet Process Prior Density Estimation
with normal base, Hierarchical Linear Models with normal prior and
covariates, Hierarchical Linear Models with a mixture of normals
prior and covariates, Hierarchical Multinomial Logits with a
mixture of normals prior and covariates, Hierarchical Multinomial
Logits with a Dirichlet Process prior and covariates, Hierarchical
Negative Binomial Regression Models, Bayesian analysis of choice-
ased conjoint data, Bayesian treatment of linear instrumental
variables models, and Analysis of Multivariate Ordinal survey
data with scale usage heterogeneity (as in Rossi et al, JASA (01)).
For further reference, consult our book, Bayesian Statistics and
Marketing by Rossi, Allenby and McCulloch.

commit log from nieder:
r34
2017-09-23: cran-baseline-r31-1.2-1-1 (Baseline Correction of Spectra)
Collection of baseline correction algorithms, along with a
framework and a GUI for optimising baseline algorithm parameters.

commit log from nieder:
r34
2017-09-23: cran-binda-r33-1.0.3-2 (Multi-Class Discriminant Analysis)
The "binda" package implements functions for multi-class discriminant
analysis using binary predictors, for corresponding variable selection,
and for dichotomizing continuous data.

commit log from nieder:
r34
2017-09-23: cran-biomark-r32-0.4.5-1 (Find biomarkers in two-class discrimination)
The package provides biomarker selection for several classification
methods: the lasso/elastic net, PCLDA, PLSDA, and several t-tests.
Two approaches are provided, one based on the stability of model
coefficients under perturbation, and the other on higher criticism.

commit log from nieder:
r34
2017-09-23: cran-bayestree-r34-0.3-1.4-1 (Bayesian Methods for Tree Based Models)
Implementation of BART:Bayesian Additive Regression Trees,
Chipman, George, McCulloch (2009)

commit log from nieder:
r34
2017-09-23: cran-binda-r31-1.0.3-2 (Multi-Class Discriminant Analysis)
The "binda" package implements functions for multi-class discriminant
analysis using binary predictors, for corresponding variable selection,
and for dichotomizing continuous data.

commit log from nieder:
r34
2017-09-23: cran-biomark-r31-0.4.5-1 (Find biomarkers in two-class discrimination)
The package provides biomarker selection for several classification
methods: the lasso/elastic net, PCLDA, PLSDA, and several t-tests.
Two approaches are provided, one based on the stability of model
coefficients under perturbation, and the other on higher criticism.

commit log from nieder:
r34
2017-09-23: cran-arulesviz-r32-1.3-0-1 (Visualizing Association Rules)
Various visualization techniques for association rules and itemsets.
The packages also includes several interactive visualizations for
rule exploration. This package extends package arules.

commit log from nieder:
r34
2017-09-23: vim-nox-8.0.1142-1 (Improved version of the editor "vi")
VIM adds many of the features that you would expect in an editor:
Unlimited undo, syntax coloring, split windows, visual selection,
graphical user interface (read: menus, mouse control, scrollbars,
text selection), and much much more.

commit log from htodd:
Welcome to Vim-8.0.1142.
2017-09-23: vim-8.0.1142-1 (Improved version of the editor "vi")
VIM adds many of the features that you would expect in an editor:
Unlimited undo, syntax coloring, split windows, visual selection,
graphical user interface (read: menus, mouse control, scrollbars,
text selection), and much much more.

commit log from htodd:
Welcome to Vim-8.0.1142.
2017-09-23: cran-bayesm-r33-3.0-2-1 (Various R programming tools)
bayesm covers many important models used in marketing and micro-
econometrics applications. The package includes: Bayes Regression
(univariate or multivariate dep var), Bayes Seemingly Unrelated
Regression (SUR), Binary and Ordinal Probit, Multinomial Logit
(MNL) and Multinomial Probit (MNP), Multivariate Probit, Negative
Binomial (Poisson) Regression, Multivariate Mixtures of Normals
(including clustering), Dirichlet Process Prior Density Estimation
with normal base, Hierarchical Linear Models with normal prior and
covariates, Hierarchical Linear Models with a mixture of normals
prior and covariates, Hierarchical Multinomial Logits with a
mixture of normals prior and covariates, Hierarchical Multinomial
Logits with a Dirichlet Process prior and covariates, Hierarchical
Negative Binomial Regression Models, Bayesian analysis of choice-
ased conjoint data, Bayesian treatment of linear instrumental
variables models, and Analysis of Multivariate Ordinal survey
data with scale usage heterogeneity (as in Rossi et al, JASA (01)).
For further reference, consult our book, Bayesian Statistics and
Marketing by Rossi, Allenby and McCulloch.

commit log from nieder:
bayesm for r33 and lower
2017-09-23: cran-bayesm-r32-3.0-2-1 (Various R programming tools)
bayesm covers many important models used in marketing and micro-
econometrics applications. The package includes: Bayes Regression
(univariate or multivariate dep var), Bayes Seemingly Unrelated
Regression (SUR), Binary and Ordinal Probit, Multinomial Logit
(MNL) and Multinomial Probit (MNP), Multivariate Probit, Negative
Binomial (Poisson) Regression, Multivariate Mixtures of Normals
(including clustering), Dirichlet Process Prior Density Estimation
with normal base, Hierarchical Linear Models with normal prior and
covariates, Hierarchical Linear Models with a mixture of normals
prior and covariates, Hierarchical Multinomial Logits with a
mixture of normals prior and covariates, Hierarchical Multinomial
Logits with a Dirichlet Process prior and covariates, Hierarchical
Negative Binomial Regression Models, Bayesian analysis of choice-
ased conjoint data, Bayesian treatment of linear instrumental
variables models, and Analysis of Multivariate Ordinal survey
data with scale usage heterogeneity (as in Rossi et al, JASA (01)).
For further reference, consult our book, Bayesian Statistics and
Marketing by Rossi, Allenby and McCulloch.

commit log from nieder:
bayesm for r33 and lower
2017-09-23: cran-bayesm-r31-3.0-2-1 (Various R programming tools)
bayesm covers many important models used in marketing and micro-
econometrics applications. The package includes: Bayes Regression
(univariate or multivariate dep var), Bayes Seemingly Unrelated
Regression (SUR), Binary and Ordinal Probit, Multinomial Logit
(MNL) and Multinomial Probit (MNP), Multivariate Probit, Negative
Binomial (Poisson) Regression, Multivariate Mixtures of Normals
(including clustering), Dirichlet Process Prior Density Estimation
with normal base, Hierarchical Linear Models with normal prior and
covariates, Hierarchical Linear Models with a mixture of normals
prior and covariates, Hierarchical Multinomial Logits with a
mixture of normals prior and covariates, Hierarchical Multinomial
Logits with a Dirichlet Process prior and covariates, Hierarchical
Negative Binomial Regression Models, Bayesian analysis of choice-
ased conjoint data, Bayesian treatment of linear instrumental
variables models, and Analysis of Multivariate Ordinal survey
data with scale usage heterogeneity (as in Rossi et al, JASA (01)).
For further reference, consult our book, Bayesian Statistics and
Marketing by Rossi, Allenby and McCulloch.

commit log from nieder:
bayesm for r33 and lower
2017-09-23: cran-tidyr-r33-0.7.1-1 (Easily Tidy Data)
An evolution of 'reshape2'. It's designed specifically for data 
tidying (not general reshaping or aggregating) and works well 
with 'dplyr' data pipelines.

commit log from nieder:
cran-tidyr 0.7.1
2017-09-23: cran-tidyr-r34-0.7.1-1 (Easily Tidy Data)
An evolution of 'reshape2'. It's designed specifically for data 
tidying (not general reshaping or aggregating) and works well 
with 'dplyr' data pipelines.

commit log from nieder:
cran-tidyr 0.7.1
2017-09-23: cran-tidyr-r32-0.7.1-1 (Easily Tidy Data)
An evolution of 'reshape2'. It's designed specifically for data 
tidying (not general reshaping or aggregating) and works well 
with 'dplyr' data pipelines.

commit log from nieder:
cran-tidyr 0.7.1
2017-09-23: cran-plotly-r32-4.7.1-1 (Various plotting functions)
Lots of plots, various labeling, axis and color scaling functions.

commit log from nieder:
new pkg R plotly 4.7.1
2017-09-23: cran-plotly-r34-4.7.1-1 (Various plotting functions)
Lots of plots, various labeling, axis and color scaling functions.

commit log from nieder:
new pkg R plotly 4.7.1
2017-09-23: cran-plotly-r33-4.7.1-1 (Various plotting functions)
Lots of plots, various labeling, axis and color scaling functions.

commit log from nieder:
new pkg R plotly 4.7.1
2017-09-23: tar-1.29-2 (Archiving program for files and tape)
Archiving program for files and tape

commit log from alexkhansen:
Update for High Sierra from
https://sourceforge.net/p/fink/package-submissions/4962/
2017-09-23: gzip-1.6-2 (File-compression program)
File-compression program

commit log from alexkhansen:
Update gzip for High Sierra
https://sourceforge.net/p/fink/package-submissions/4961/
2017-09-23: fink-mirrors-0.41.1.1-1 (Mirror infrastructure)
The fink-mirrors package keeps a current list of the mirrors which are used 
by fink to download sourcefiles.

commit log from alexkhansen:
Update mirrors for all.
2017-09-23: libgettext8-shlibs-0.19.8.1-2 (GNU Internationalization utils (shared libs))
The gettext packages provides some of the i18n and l10n support used by
  many GNU programs but missing from the Darwin C library.

commit log from alexkhansen:
Update for High Sierra from
https://sourceforge.net/p/fink/package-submissions/4955/
Also add libiconv-gettext.patch from 5004
2017-09-23: gettext-tools-0.19.8.1-2 (GNU Internationalization utils)
The gettext packages provides some of the i18n and l10n support used by
  many GNU programs but missing from the Darwin C library.

commit log from alexkhansen:
Update for High Sierra from
https://sourceforge.net/p/fink/package-submissions/4955/
Also add libiconv-gettext.patch from 5004
2017-09-23: cran-tidyselect-r32-0.2.0-1 (Select from a Set of Strings)
A backend for the selecting functions of the 'tidyverse'. It makes it
easy to implement select-like functions in your own packages in a way
that is consistent with other 'tidyverse' interfaces for selection.

commit log from nieder:
cran-tidyselect 0.2.0
2017-09-23: cran-tidyselect-r34-0.2.0-1 (Select from a Set of Strings)
A backend for the selecting functions of the 'tidyverse'. It makes it
easy to implement select-like functions in your own packages in a way
that is consistent with other 'tidyverse' interfaces for selection.

commit log from nieder:
cran-tidyselect 0.2.0
2017-09-23: cran-tidyselect-r33-0.2.0-1 (Select from a Set of Strings)
A backend for the selecting functions of the 'tidyverse'. It makes it
easy to implement select-like functions in your own packages in a way
that is consistent with other 'tidyverse' interfaces for selection.

commit log from nieder:
cran-tidyselect 0.2.0
2017-09-23: libiconv-1.15-1 (Character set conversion library)
GNU libiconv provides an iconv() implemententation for systems that lack
it, or whose implementation cannot convert from/to Unicode.

commit log from alexkhansen:
Update libiconv to new upstream and to facilitate bootstrap on High Sierra.
https://sourceforge.net/p/fink/package-submissions/5004/
2017-09-23: pspp-1.0.1-1 (Statistical analysis program)
GNU PSPP interprets commands in the SPSS language, and produces tabular 
        output in ASCII, PostScript, or HTML format.

commit log from nieder:
pspp 1.0.1
2017-09-22: gdal-py27-2.2.2-1 (Raster/Vector Geospatial Format Translator)
GDAL is a translator library for raster geospatial data formats. As a library,
it presents a single abstract data model to the calling application for all
supported formats.

commit log from goatbar:
gdal 2.2.1 -> 2.2.2
2017-09-22: gdal-py34-2.2.2-1 (Raster/Vector Geospatial Format Translator)
GDAL is a translator library for raster geospatial data formats. As a library,
it presents a single abstract data model to the calling application for all
supported formats.

commit log from goatbar:
gdal 2.2.1 -> 2.2.2
2017-09-22: gdal-py36-2.2.2-1 (Raster/Vector Geospatial Format Translator)
GDAL is a translator library for raster geospatial data formats. As a library,
it presents a single abstract data model to the calling application for all
supported formats.

commit log from goatbar:
gdal 2.2.1 -> 2.2.2
2017-09-22: gdal-py35-2.2.2-1 (Raster/Vector Geospatial Format Translator)
GDAL is a translator library for raster geospatial data formats. As a library,
it presents a single abstract data model to the calling application for all
supported formats.

commit log from goatbar:
gdal 2.2.1 -> 2.2.2
2017-09-22: pexpect-py34-4.2.1-1 (Pure Python expect-like interface)
From http://pexpect.sourceforge.net/:

Pexpect makes Python a better tool for controlling other applications.

Pexpect is a pure Python module for spawning child applications;
controlling them; and responding to expected patterns in their output.
Pexpect works like Don Libes' Expect. Pexpect allows your script to spawn
a child application and control it as if a human were typing commands.

Pexpect can be used for automating interactive applications such as ssh,
ftp, passwd, telnet, etc. It can be used to a automate setup scripts for
duplicating software package installations on different servers. It can be
used for automated software testing. Pexpect is in the spirit of Don
Libes' Expect, but Pexpect is pure Python. Unlike other Expect-like
modules for Python, Pexpect does not require TCL or Expect nor does it
require C extensions to be compiled. It should work on any platform that
supports the standard Python pty module. The Pexpect interface was
designed to be easy to use.

commit log from goatbar:
ptyprocess 0.5.2 and update pexpect-py 3.3 -> 4.2.1 by Scott Hannahs
2017-09-22: pexpect-py27-4.2.1-1 (Pure Python expect-like interface)
From http://pexpect.sourceforge.net/:

Pexpect makes Python a better tool for controlling other applications.

Pexpect is a pure Python module for spawning child applications;
controlling them; and responding to expected patterns in their output.
Pexpect works like Don Libes' Expect. Pexpect allows your script to spawn
a child application and control it as if a human were typing commands.

Pexpect can be used for automating interactive applications such as ssh,
ftp, passwd, telnet, etc. It can be used to a automate setup scripts for
duplicating software package installations on different servers. It can be
used for automated software testing. Pexpect is in the spirit of Don
Libes' Expect, but Pexpect is pure Python. Unlike other Expect-like
modules for Python, Pexpect does not require TCL or Expect nor does it
require C extensions to be compiled. It should work on any platform that
supports the standard Python pty module. The Pexpect interface was
designed to be easy to use.

commit log from goatbar:
ptyprocess 0.5.2 and update pexpect-py 3.3 -> 4.2.1 by Scott Hannahs
2017-09-22: pexpect-py35-4.2.1-1 (Pure Python expect-like interface)
From http://pexpect.sourceforge.net/:

Pexpect makes Python a better tool for controlling other applications.

Pexpect is a pure Python module for spawning child applications;
controlling them; and responding to expected patterns in their output.
Pexpect works like Don Libes' Expect. Pexpect allows your script to spawn
a child application and control it as if a human were typing commands.

Pexpect can be used for automating interactive applications such as ssh,
ftp, passwd, telnet, etc. It can be used to a automate setup scripts for
duplicating software package installations on different servers. It can be
used for automated software testing. Pexpect is in the spirit of Don
Libes' Expect, but Pexpect is pure Python. Unlike other Expect-like
modules for Python, Pexpect does not require TCL or Expect nor does it
require C extensions to be compiled. It should work on any platform that
supports the standard Python pty module. The Pexpect interface was
designed to be easy to use.

commit log from goatbar:
ptyprocess 0.5.2 and update pexpect-py 3.3 -> 4.2.1 by Scott Hannahs
2017-09-22: gdal2-2.2.2-1 (Raster/Vector Geospatial Format Translator)
GDAL is a translator library for raster geospatial data formats. As a library,
it presents a single abstract data model to the calling application for all
supported formats.

Current translators include GeoTIFF, ESRI .BIL, .aux labelled raw,
DTED, SDTS DEM, CEOS, JPEG, PNG, Geosoft GXF, Arc/Info Binary Grid,
FITS, netCDF, GIF, and more.

GDAL come with the related OGR library (which lives within the GDAL
source tree) provides a similar capability for simple features vector
data.  The OGR Simple Features Library is a C++ open source library
(and commandline tools) providing read (and sometimes write) access to
a variety of vector file formats including ESRI Shapefiles, S-57,
SDTS, PostGIS, Oracle Spatial, and Mapinfo mid/mif and TAB formats.

commit log from goatbar:
gdal 2.2.1 -> 2.2.2
2017-09-22: ptyprocess-py27-0.5.2-1 (Run a subprocess in a pseudo terminal)
From https://pypi.python.org/pypi/ptyprocess

Launch a subprocess in a pseudo terminal (pty), and interact with both the
process and its pty.

Sometimes, piping stdin and stdout is not enough. There might be a password
prompt that doesn't read from stdin, output that changes when it's going to
a pipe rather than a terminal, or curses-style interfaces that rely on a
terminal. If you need to automate these things, running the process in a
pseudo terminal (pty) is the answer.

Interface:

p = PtyProcessUnicode.spawn(['python'])
p.read(20)
p.write('6+6\n')
p.read(20)

commit log from goatbar:
ptyprocess 0.5.2 and update pexpect-py 3.3 -> 4.2.1 by Scott Hannahs
2017-09-22: ptyprocess-py34-0.5.2-1 (Run a subprocess in a pseudo terminal)
From https://pypi.python.org/pypi/ptyprocess

Launch a subprocess in a pseudo terminal (pty), and interact with both the
process and its pty.

Sometimes, piping stdin and stdout is not enough. There might be a password
prompt that doesn't read from stdin, output that changes when it's going to
a pipe rather than a terminal, or curses-style interfaces that rely on a
terminal. If you need to automate these things, running the process in a
pseudo terminal (pty) is the answer.

Interface:

p = PtyProcessUnicode.spawn(['python'])
p.read(20)
p.write('6+6\n')
p.read(20)

commit log from goatbar:
ptyprocess 0.5.2 and update pexpect-py 3.3 -> 4.2.1 by Scott Hannahs
2017-09-22: ptyprocess-py35-0.5.2-1 (Run a subprocess in a pseudo terminal)
From https://pypi.python.org/pypi/ptyprocess

Launch a subprocess in a pseudo terminal (pty), and interact with both the
process and its pty.

Sometimes, piping stdin and stdout is not enough. There might be a password
prompt that doesn't read from stdin, output that changes when it's going to
a pipe rather than a terminal, or curses-style interfaces that rely on a
terminal. If you need to automate these things, running the process in a
pseudo terminal (pty) is the answer.

Interface:

p = PtyProcessUnicode.spawn(['python'])
p.read(20)
p.write('6+6\n')
p.read(20)

commit log from goatbar:
ptyprocess 0.5.2 and update pexpect-py 3.3 -> 4.2.1 by Scott Hannahs
2017-09-22: libvpx15-1.5.0-1 (WebM VP8/VP9 Codec SDK)
WebM VP8/VP9 Codec SDK

commit log from danielj7:
New upstream libvpx16 1.6.1
New install_name and now builds shared
2017-09-22: libvpx14-1.4.0-3 (WebM VP8/VP9 Codec SDK)
WebM VP8/VP9 Codec SDK

commit log from danielj7:
New upstream libvpx16 1.6.1
New install_name and now builds shared
2017-09-22: libvpx16-1.6.1-1 (WebM VP8/VP9 Codec SDK)
WebM VP8/VP9 Codec SDK

commit log from danielj7:
New upstream libvpx16 1.6.1
New install_name and now builds shared
2017-09-22: libhunspell1.6-shlibs-1.6.2-1 (Hunspell-1.6 shared library)
Hunspell is the spell checker of LibreOffice, OpenOffice.org, Mozilla
Firefox 3 & Thunderbird, Google Chrome, and it is also used by
proprietary software packages, like macOS, InDesign, memoQ, Opera and
SDL Trados.

commit log from nieder:
libhunspell 1.6.2
2017-09-21: inkscape-0.48.5-8 (SVG editor)
SVG editor

commit log from dmacks:
xcode9 fixes from upstream (based on https://sourceforge.net/p/fink/package-submissions/5011/)
2017-09-20: keyring-py27-10.4.0-1 (Store and access your passwords safely)
The Python keyring lib provides a easy way to access the system keyring
        service from python. It can be used in any application that needs safe
        password storage.
        
        The keyring services supported by the Python keyring lib:
        
        OSXKeychain: supports the Keychain service in Mac OS X.
        KDEKWallet: supports the KDE's Kwallet service.
        GnomeKeyring: for Gnome environment.
        
        Besides these native password storing services provided by operating
        systems. Python keyring lib also provides following build-in keyrings.
        
        Win32CryptoKeyring: for Windows 2k+.
        CryptedFileKeyring: a command line interface keyring base on PyCrypto.
        UncryptedFileKeyring: a keyring which leaves passwords directly in
        file.

commit log from danielj7:
New upstream keyring-py 10.4.0
2017-09-20: hgsubversion-py27-1.8.8-0.1 (Mercurial as a Subversion client)
hgsubversion is an extension for Mercurial that allows using Mercurial
        as a Subversion client.

commit log from danielj7:
New upstream hgsubversion-py
Use repo tip of tree for compatibility with hg 4.3
2017-09-20: keyring-py36-10.4.0-1 (Store and access your passwords safely)
The Python keyring lib provides a easy way to access the system keyring
        service from python. It can be used in any application that needs safe
        password storage.
        
        The keyring services supported by the Python keyring lib:
        
        OSXKeychain: supports the Keychain service in Mac OS X.
        KDEKWallet: supports the KDE's Kwallet service.
        GnomeKeyring: for Gnome environment.
        
        Besides these native password storing services provided by operating
        systems. Python keyring lib also provides following build-in keyrings.
        
        Win32CryptoKeyring: for Windows 2k+.
        CryptedFileKeyring: a command line interface keyring base on PyCrypto.
        UncryptedFileKeyring: a keyring which leaves passwords directly in
        file.

commit log from danielj7:
New upstream keyring-py 10.4.0
2017-09-20: keyring-py34-10.4.0-1 (Store and access your passwords safely)
The Python keyring lib provides a easy way to access the system keyring
        service from python. It can be used in any application that needs safe
        password storage.
        
        The keyring services supported by the Python keyring lib:
        
        OSXKeychain: supports the Keychain service in Mac OS X.
        KDEKWallet: supports the KDE's Kwallet service.
        GnomeKeyring: for Gnome environment.
        
        Besides these native password storing services provided by operating
        systems. Python keyring lib also provides following build-in keyrings.
        
        Win32CryptoKeyring: for Windows 2k+.
        CryptedFileKeyring: a command line interface keyring base on PyCrypto.
        UncryptedFileKeyring: a keyring which leaves passwords directly in
        file.

commit log from danielj7:
New upstream keyring-py 10.4.0
2017-09-20: mercurial-extension-utils-py27-1.3.4-1 (Functions for writing hg extensions)
Functions for writing hg extensions

commit log from danielj7:
New upstream mercurial-extension-utils-py 1.3.4
2017-09-20: mercurial-keyring-py27-1.1.8-1 (Mercurial Keyring Extension)
mercurial_keyring is a Mercurial extension used to securely save HTTP
        and SMTP authentication passwords in password databases (Gnome Keyring,
        KDE KWallet, OSXKeyChain, specific solutions for Win32 and command
        line). This extension uses and wraps services of the keyring library.

commit log from danielj7:
New upstream mercurial-keyring-py 1.1.8
2017-09-20: keyring-py35-10.4.0-1 (Store and access your passwords safely)
The Python keyring lib provides a easy way to access the system keyring
        service from python. It can be used in any application that needs safe
        password storage.
        
        The keyring services supported by the Python keyring lib:
        
        OSXKeychain: supports the Keychain service in Mac OS X.
        KDEKWallet: supports the KDE's Kwallet service.
        GnomeKeyring: for Gnome environment.
        
        Besides these native password storing services provided by operating
        systems. Python keyring lib also provides following build-in keyrings.
        
        Win32CryptoKeyring: for Windows 2k+.
        CryptedFileKeyring: a command line interface keyring base on PyCrypto.
        UncryptedFileKeyring: a keyring which leaves passwords directly in
        file.

commit log from danielj7:
New upstream keyring-py 10.4.0
2017-09-19: gd3-2.2.5-1 (Graphics generation library)
The GD library is useful for creating graphics like hit counters on
 the fly. This version supports the PNG, JPEG and WBMP formats and lets
 you use TrueType fonts rendered via freetype2.

commit log from nieder:
gd3 2.2.5