Fink

Recent Package Updates

2017-01-16: numpy-py34-1.12.0-1 (N-dimensional array package for Python)
NumPy (formerly known as scipy_core) is the fundamental package needed
for scientific computing with Python. It contains among other things:

  - a powerful N-dimensional array object
  - sophisticated (broadcasting) functions
  - tools for integrating C/C++ and Fortran code
  - useful linear algebra, Fourier transform, and random number capabilities.

Besides its obvious scientific uses, NumPy can also be used as an
efficient multi-dimensional container of generic data. Arbitrary
data-types can be defined. This allows NumPy to seamlessly and
speedily integrate with a wide variety of databases.

commit log from dmacks:
new version (https://sourceforge.net/p/fink/package-submissions/4876/)
2017-01-16: numpy-py27-1.12.0-1 (N-dimensional array package for Python)
NumPy (formerly known as scipy_core) is the fundamental package needed
for scientific computing with Python. It contains among other things:

  - a powerful N-dimensional array object
  - sophisticated (broadcasting) functions
  - tools for integrating C/C++ and Fortran code
  - useful linear algebra, Fourier transform, and random number capabilities.

Besides its obvious scientific uses, NumPy can also be used as an
efficient multi-dimensional container of generic data. Arbitrary
data-types can be defined. This allows NumPy to seamlessly and
speedily integrate with a wide variety of databases.

commit log from dmacks:
new version (https://sourceforge.net/p/fink/package-submissions/4876/)
2017-01-16: numpy-py36-1.12.0-1 (N-dimensional array package for Python)
NumPy (formerly known as scipy_core) is the fundamental package needed
for scientific computing with Python. It contains among other things:

  - a powerful N-dimensional array object
  - sophisticated (broadcasting) functions
  - tools for integrating C/C++ and Fortran code
  - useful linear algebra, Fourier transform, and random number capabilities.

Besides its obvious scientific uses, NumPy can also be used as an
efficient multi-dimensional container of generic data. Arbitrary
data-types can be defined. This allows NumPy to seamlessly and
speedily integrate with a wide variety of databases.

commit log from dmacks:
new version (https://sourceforge.net/p/fink/package-submissions/4876/)
2017-01-16: numpy-py35-1.12.0-1 (N-dimensional array package for Python)
NumPy (formerly known as scipy_core) is the fundamental package needed
for scientific computing with Python. It contains among other things:

  - a powerful N-dimensional array object
  - sophisticated (broadcasting) functions
  - tools for integrating C/C++ and Fortran code
  - useful linear algebra, Fourier transform, and random number capabilities.

Besides its obvious scientific uses, NumPy can also be used as an
efficient multi-dimensional container of generic data. Arbitrary
data-types can be defined. This allows NumPy to seamlessly and
speedily integrate with a wide variety of databases.

commit log from dmacks:
new version (https://sourceforge.net/p/fink/package-submissions/4876/)
2017-01-15: vim-8.0.194-1 (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-8.0.194.
2017-01-15: vim-nox-8.0.194-1 (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-8.0.194.
2017-01-14: libopus0-shlibs-1.1.3-1 (Interactive speech and audio codec)
The Opus codec is designed for interactive speech and audio transmission 
over the Internet. It is designed by the IETF Codec Working Group and 
incorporates technology from Skype's SILK codec and Xiph.Org's CELT codec.

commit log from nieder:
libopus 1.1.3
2017-01-14: libspeex1-1.2-0.0rc1.4 (Voice compression format (codec))
Speex is a patent-free compression format designed especially for speech. It
  is specialized for voice communications at low bit-rates in the
  8-32 kbps/channel range. Possible applications include Voice over IP (VoIP)
  applications, Internet audio streaming at low bit-rate, and archiving of
  speech data (e.g. voice mail).

commit log from nieder:
add upgrade note
2017-01-13: flac-1.3.2-1 (Free lossless audio codec)
FLAC stands for Free Lossless Audio Codec. Grossly oversimplified, FLAC
is similar to MP3, but lossless. The FLAC project consists of:
*  The stream format
In the libflacX packages:
*  libFLAC, a library encoders and decoders, and a metadata interface
*  libFLAC++, an object wrapper around libFLAC
In the flac package:
*  flac, a CLI wrapper around libFLAC to encode/decode .flac files
*  metaflac, a command-line metadata editor for .flac files
In the flac-xmms package:
*  Input plugin for XMMS

commit log from nieder:
flac 1.3.2
2017-01-13: pyparsing-py27-2.1.10-1 (Simple Parsing Module)
pyparsing is a general parsing module for Python. Grammars are
 implemented directly in the client code using parsing objects,
 instead of externally, as with lex/yacc-type tools. Includes simple
 examples for parsing SQL, CORBA IDL, and 4-function math

 The pyparsing module is an alternative approach to creating and
 executing simple grammars, vs. the traditional lex/yacc approach, or
 the use of regular expressions. The pyparsing module provides a
 library of classes that client code uses to construct the grammar
 directly in Python code.

commit log from danielj7:
New upstream pyparsing-py 2.1.10
Add py36 variant
2017-01-13: pyparsing-py35-2.1.10-1 (Simple Parsing Module)
pyparsing is a general parsing module for Python. Grammars are
 implemented directly in the client code using parsing objects,
 instead of externally, as with lex/yacc-type tools. Includes simple
 examples for parsing SQL, CORBA IDL, and 4-function math

 The pyparsing module is an alternative approach to creating and
 executing simple grammars, vs. the traditional lex/yacc approach, or
 the use of regular expressions. The pyparsing module provides a
 library of classes that client code uses to construct the grammar
 directly in Python code.

commit log from danielj7:
New upstream pyparsing-py 2.1.10
Add py36 variant
2017-01-13: pyopenssl-py36-16.2.0-1 (Python wrapper module around OpenSSL)
High-level wrapper around a subset of the OpenSSL library, includes

* SSL.Connection objects, wrapping the methods of Python's portable
  sockets
* Callbacks written in Python
* Extensive error-handling mechanism, mirroring OpenSSL's error codes
  ...  and much more ;)

commit log from danielj7:
New upstream pyopenssl-py 16.2.0
Add py36 variant
2017-01-13: pies-py27-2.6.7-1 (Write code for python 2 and 3)
Write code for python 2 and 3

commit log from danielj7:
Add py36 variant
2017-01-13: pies-py36-2.6.7-1 (Write code for python 2 and 3)
Write code for python 2 and 3

commit log from danielj7:
Add py36 variant
2017-01-13: path-py36-10.0-1 (Module wrapper for os.path)
An object representing a path to a file or directory.
        
        Example:

        from path import path
        d = path('/home/guido/bin')
        for f in d.files('*.py'):
                f.chmod(0755)

commit log from danielj7:
New upstream path-py 10.1
Add py36 variant
2017-01-13: path-py35-10.0-1 (Module wrapper for os.path)
An object representing a path to a file or directory.
        
        Example:

        from path import path
        d = path('/home/guido/bin')
        for f in d.files('*.py'):
                f.chmod(0755)

commit log from danielj7:
New upstream path-py 10.1
Add py36 variant
2017-01-13: pyopenssl-py35-16.2.0-1 (Python wrapper module around OpenSSL)
High-level wrapper around a subset of the OpenSSL library, includes

* SSL.Connection objects, wrapping the methods of Python's portable
  sockets
* Callbacks written in Python
* Extensive error-handling mechanism, mirroring OpenSSL's error codes
  ...  and much more ;)

commit log from danielj7:
New upstream pyopenssl-py 16.2.0
Add py36 variant
2017-01-13: pyopenssl-py27-16.2.0-1 (Python wrapper module around OpenSSL)
High-level wrapper around a subset of the OpenSSL library, includes

* SSL.Connection objects, wrapping the methods of Python's portable
  sockets
* Callbacks written in Python
* Extensive error-handling mechanism, mirroring OpenSSL's error codes
  ...  and much more ;)

commit log from danielj7:
New upstream pyopenssl-py 16.2.0
Add py36 variant
2017-01-13: path-py27-10.0-1 (Module wrapper for os.path)
An object representing a path to a file or directory.
        
        Example:

        from path import path
        d = path('/home/guido/bin')
        for f in d.files('*.py'):
                f.chmod(0755)

commit log from danielj7:
New upstream path-py 10.1
Add py36 variant
2017-01-13: pyopenssl-py34-16.2.0-1 (Python wrapper module around OpenSSL)
High-level wrapper around a subset of the OpenSSL library, includes

* SSL.Connection objects, wrapping the methods of Python's portable
  sockets
* Callbacks written in Python
* Extensive error-handling mechanism, mirroring OpenSSL's error codes
  ...  and much more ;)

commit log from danielj7:
New upstream pyopenssl-py 16.2.0
Add py36 variant
2017-01-13: path-py34-10.0-1 (Module wrapper for os.path)
An object representing a path to a file or directory.
        
        Example:

        from path import path
        d = path('/home/guido/bin')
        for f in d.files('*.py'):
                f.chmod(0755)

commit log from danielj7:
New upstream path-py 10.1
Add py36 variant
2017-01-13: pyparsing-py36-2.1.10-1 (Simple Parsing Module)
pyparsing is a general parsing module for Python. Grammars are
 implemented directly in the client code using parsing objects,
 instead of externally, as with lex/yacc-type tools. Includes simple
 examples for parsing SQL, CORBA IDL, and 4-function math

 The pyparsing module is an alternative approach to creating and
 executing simple grammars, vs. the traditional lex/yacc approach, or
 the use of regular expressions. The pyparsing module provides a
 library of classes that client code uses to construct the grammar
 directly in Python code.

commit log from danielj7:
New upstream pyparsing-py 2.1.10
Add py36 variant
2017-01-13: pyparsing-py34-2.1.10-1 (Simple Parsing Module)
pyparsing is a general parsing module for Python. Grammars are
 implemented directly in the client code using parsing objects,
 instead of externally, as with lex/yacc-type tools. Includes simple
 examples for parsing SQL, CORBA IDL, and 4-function math

 The pyparsing module is an alternative approach to creating and
 executing simple grammars, vs. the traditional lex/yacc approach, or
 the use of regular expressions. The pyparsing module provides a
 library of classes that client code uses to construct the grammar
 directly in Python code.

commit log from danielj7:
New upstream pyparsing-py 2.1.10
Add py36 variant
2017-01-13: pies-py34-2.6.7-1 (Write code for python 2 and 3)
Write code for python 2 and 3

commit log from danielj7:
Add py36 variant
2017-01-13: pies-py35-2.6.7-1 (Write code for python 2 and 3)
Write code for python 2 and 3

commit log from danielj7:
Add py36 variant
2017-01-13: modernize-py34-0.5-1 (Modernize code for hybrid codebases)
This library is a very thin wrapper around lib2to3 to utilize it
to make Python 2 code more modern with the intention of eventually
porting it over to Python 3.

It does not guarantee, but it attempts to spit out a Python 2/3
compatible codebase.  The code that it generates has a runtime
dependency on `six`.

commit log from danielj7:
Add py36 variant
2017-01-13: modernize-py35-0.5-1 (Modernize code for hybrid codebases)
This library is a very thin wrapper around lib2to3 to utilize it
to make Python 2 code more modern with the intention of eventually
porting it over to Python 3.

It does not guarantee, but it attempts to spit out a Python 2/3
compatible codebase.  The code that it generates has a runtime
dependency on `six`.

commit log from danielj7:
Add py36 variant
2017-01-13: modernize-py36-0.5-1 (Modernize code for hybrid codebases)
This library is a very thin wrapper around lib2to3 to utilize it
to make Python 2 code more modern with the intention of eventually
porting it over to Python 3.

It does not guarantee, but it attempts to spit out a Python 2/3
compatible codebase.  The code that it generates has a runtime
dependency on `six`.

commit log from danielj7:
Add py36 variant
2017-01-13: modernize-py27-0.5-1 (Modernize code for hybrid codebases)
This library is a very thin wrapper around lib2to3 to utilize it
to make Python 2 code more modern with the intention of eventually
porting it over to Python 3.

It does not guarantee, but it attempts to spit out a Python 2/3
compatible codebase.  The code that it generates has a runtime
dependency on `six`.

commit log from danielj7:
Add py36 variant
2017-01-13: keyring-py36-10.2-1 (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 10.2
Add py36 variant
2017-01-13: minimock-py27-1.2.8-1 (Simplest possible mock library)
Simplest possible mock library

commit log from danielj7:
Add py36 variant
2017-01-13: keyring-py27-10.2-1 (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 10.2
Add py36 variant
2017-01-13: minimock-py35-1.2.8-1 (Simplest possible mock library)
Simplest possible mock library

commit log from danielj7:
Add py36 variant
2017-01-13: mercurial-keyring-py27-1.1.7-1 (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 1.1.7
2017-01-13: mercurial-extension-utils-py27-1.3.1-1 (Functions for writing hg extensions)
Functions for writing hg extensions

commit log from danielj7:
New upstream mercurial-extension-utils-py 1.3.1
2017-01-13: keyring-py34-10.2-1 (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 10.2
Add py36 variant
2017-01-13: minimock-py36-1.2.8-1 (Simplest possible mock library)
Simplest possible mock library

commit log from danielj7:
Add py36 variant
2017-01-13: minimock-py34-1.2.8-1 (Simplest possible mock library)
Simplest possible mock library

commit log from danielj7:
Add py36 variant
2017-01-13: keyring-py35-10.2-1 (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 10.2
Add py36 variant
2017-01-13: appdirs-py36-1.4.0-1 (Find platform-specific dirs)
Find platform-specific dirs

commit log from danielj7:
New package appdirs-py 1.4.0
2017-01-13: appdirs-py35-1.4.0-1 (Find platform-specific dirs)
Find platform-specific dirs

commit log from danielj7:
New package appdirs-py 1.4.0
2017-01-13: appdirs-py27-1.4.0-1 (Find platform-specific dirs)
Find platform-specific dirs

commit log from danielj7:
New package appdirs-py 1.4.0
2017-01-13: appdirs-py34-1.4.0-1 (Find platform-specific dirs)
Find platform-specific dirs

commit log from danielj7:
New package appdirs-py 1.4.0
2017-01-13: xmlwitch-py36-0.3-1 (Python implementation of Ruby's XML Builder)
xmlwitch is a reimplementation of Ruby's Builder library written and
        mantained by Jonas Galvez. It uses a very different technique (Python's
        context processors) but delivers an extremely similar syntax. xmlwitch
        leverages the with statement which makes it dependent on Python 2.5 and
        above.

commit log from danielj7:
New upstream xmlwitch-py 0.3
Add py36 variant
2017-01-13: xmlwitch-py27-0.3-1 (Python implementation of Ruby's XML Builder)
xmlwitch is a reimplementation of Ruby's Builder library written and
        mantained by Jonas Galvez. It uses a very different technique (Python's
        context processors) but delivers an extremely similar syntax. xmlwitch
        leverages the with statement which makes it dependent on Python 2.5 and
        above.

commit log from danielj7:
New upstream xmlwitch-py 0.3
Add py36 variant
2017-01-13: xmlwitch-py35-0.3-1 (Python implementation of Ruby's XML Builder)
xmlwitch is a reimplementation of Ruby's Builder library written and
        mantained by Jonas Galvez. It uses a very different technique (Python's
        context processors) but delivers an extremely similar syntax. xmlwitch
        leverages the with statement which makes it dependent on Python 2.5 and
        above.

commit log from danielj7:
New upstream xmlwitch-py 0.3
Add py36 variant
2017-01-13: xmlwitch-py34-0.3-1 (Python implementation of Ruby's XML Builder)
xmlwitch is a reimplementation of Ruby's Builder library written and
        mantained by Jonas Galvez. It uses a very different technique (Python's
        context processors) but delivers an extremely similar syntax. xmlwitch
        leverages the with statement which makes it dependent on Python 2.5 and
        above.

commit log from danielj7:
New upstream xmlwitch-py 0.3
Add py36 variant
2017-01-13: html5witch-py27-0.2.1-1 (Pythonic HTML5 generation based on xmlwitch)
Pythonic HTML5 generation based on xmlwitch

commit log from danielj7:
Add py36 variant
2017-01-13: gmpy2-py27-2.0.8-1 (Multiprecision arithmetic for Python)
A C-coded Python extension module that wraps the GMP library to provide
    to Python code fast multiprecision arithmetic (integer, rational, and
    float), random number generation, advanced number-theoretical
    functions, and more.

commit log from danielj7:
New upstream gmpy2-py 2.0.8
Add py36 variant
2017-01-13: gmpy-py36-1.17-1 (Multiprecision arithmetic for Python)
A C-coded Python extension module that wraps the GMP library to provide
    to Python code fast multiprecision arithmetic (integer, rational, and
    float), random number generation, advanced number-theoretical
    functions, and more.

commit log from danielj7:
New upstream gmpy2-py 2.0.8
Add py36 variant
2017-01-13: html-py34-1.16-1 (Simple, elegant HTML/XHTML generation)
Simple, elegant HTML/XHTML generation

commit log from danielj7:
Add py36 variant
2017-01-13: html-py35-1.16-1 (Simple, elegant HTML/XHTML generation)
Simple, elegant HTML/XHTML generation

commit log from danielj7:
Add py36 variant
2017-01-13: gmpy-py34-1.17-1 (Multiprecision arithmetic for Python)
A C-coded Python extension module that wraps the GMP library to provide
    to Python code fast multiprecision arithmetic (integer, rational, and
    float), random number generation, advanced number-theoretical
    functions, and more.

commit log from danielj7:
New upstream gmpy2-py 2.0.8
Add py36 variant
2017-01-13: gmpy2-py36-2.0.8-1 (Multiprecision arithmetic for Python)
A C-coded Python extension module that wraps the GMP library to provide
    to Python code fast multiprecision arithmetic (integer, rational, and
    float), random number generation, advanced number-theoretical
    functions, and more.

commit log from danielj7:
New upstream gmpy2-py 2.0.8
Add py36 variant
2017-01-13: html5witch-py36-0.2.1-1 (Pythonic HTML5 generation based on xmlwitch)
Pythonic HTML5 generation based on xmlwitch

commit log from danielj7:
Add py36 variant
2017-01-13: jsonpickle-py34-0.9.4-1 (Serialize arbitrary object graph into JSON)
Python library for serializing any arbitrary object graph into JSON. It
        can take almost any Python object and turn the object into JSON.
        Additionally, it can reconstitute the object back into Python.

commit log from danielj7:
New upstream jsonpickle-py 0.9.4
Add py36 variant
2017-01-13: html-py27-1.16-1 (Simple, elegant HTML/XHTML generation)
Simple, elegant HTML/XHTML generation

commit log from danielj7:
Add py36 variant
2017-01-13: jsonpickle-py36-0.9.4-1 (Serialize arbitrary object graph into JSON)
Python library for serializing any arbitrary object graph into JSON. It
        can take almost any Python object and turn the object into JSON.
        Additionally, it can reconstitute the object back into Python.

commit log from danielj7:
New upstream jsonpickle-py 0.9.4
Add py36 variant
2017-01-13: gmpy-py35-1.17-1 (Multiprecision arithmetic for Python)
A C-coded Python extension module that wraps the GMP library to provide
    to Python code fast multiprecision arithmetic (integer, rational, and
    float), random number generation, advanced number-theoretical
    functions, and more.

commit log from danielj7:
New upstream gmpy2-py 2.0.8
Add py36 variant
2017-01-13: gmpy2-py34-2.0.8-1 (Multiprecision arithmetic for Python)
A C-coded Python extension module that wraps the GMP library to provide
    to Python code fast multiprecision arithmetic (integer, rational, and
    float), random number generation, advanced number-theoretical
    functions, and more.

commit log from danielj7:
New upstream gmpy2-py 2.0.8
Add py36 variant
2017-01-13: html5witch-py34-0.2.1-1 (Pythonic HTML5 generation based on xmlwitch)
Pythonic HTML5 generation based on xmlwitch

commit log from danielj7:
Add py36 variant
2017-01-13: gmpy-py27-1.17-1 (Multiprecision arithmetic for Python)
A C-coded Python extension module that wraps the GMP library to provide
    to Python code fast multiprecision arithmetic (integer, rational, and
    float), random number generation, advanced number-theoretical
    functions, and more.

commit log from danielj7:
New upstream gmpy2-py 2.0.8
Add py36 variant
2017-01-13: html-py36-1.16-1 (Simple, elegant HTML/XHTML generation)
Simple, elegant HTML/XHTML generation

commit log from danielj7:
Add py36 variant
2017-01-13: html5witch-py35-0.2.1-1 (Pythonic HTML5 generation based on xmlwitch)
Pythonic HTML5 generation based on xmlwitch

commit log from danielj7:
Add py36 variant
2017-01-13: jsonpickle-py35-0.9.4-1 (Serialize arbitrary object graph into JSON)
Python library for serializing any arbitrary object graph into JSON. It
        can take almost any Python object and turn the object into JSON.
        Additionally, it can reconstitute the object back into Python.

commit log from danielj7:
New upstream jsonpickle-py 0.9.4
Add py36 variant
2017-01-13: jsonpickle-py27-0.9.4-1 (Serialize arbitrary object graph into JSON)
Python library for serializing any arbitrary object graph into JSON. It
        can take almost any Python object and turn the object into JSON.
        Additionally, it can reconstitute the object back into Python.

commit log from danielj7:
New upstream jsonpickle-py 0.9.4
Add py36 variant
2017-01-13: gmpy2-py35-2.0.8-1 (Multiprecision arithmetic for Python)
A C-coded Python extension module that wraps the GMP library to provide
    to Python code fast multiprecision arithmetic (integer, rational, and
    float), random number generation, advanced number-theoretical
    functions, and more.

commit log from danielj7:
New upstream gmpy2-py 2.0.8
Add py36 variant
2017-01-13: flake8-py34-3.2.1-1 (Modular source code checker)
Flake8 is a wrapper around these tools:

        PyFlakes
        pep8
        Ned Batchelder's McCabe script
        
        Flake8 runs all the tools by launching the single flake8 script. It
        displays the warnings in a per-file, merged output.

commit log from danielj7:
New upstream flake8-py 3.2.1
Need nose-py36 before adding py36 variant
2017-01-13: future-py34-0.16.0-1 (Single-source support for Python 3 and 2)
future is the missing compatibility layer between Python 3 and
        Python 2. It allows you to use a single, clean Python 3.x-compatible
        codebase to support both Python 3 and Python 2 with minimal overhead.

commit log from danielj7:
New upstream future-py 0.16.0
Add py36 variant
2017-01-13: configparser-py27-3.5.0-1 (Backport of py32's configparser)
Backport of py32's configparser

commit log from danielj7:
Add py34, 35, 36 variants
2017-01-13: configparser-py36-3.5.0-1 (Backport of py32's configparser)
Backport of py32's configparser

commit log from danielj7:
Add py34, 35, 36 variants
2017-01-13: future-py27-0.16.0-1 (Single-source support for Python 3 and 2)
future is the missing compatibility layer between Python 3 and
        Python 2. It allows you to use a single, clean Python 3.x-compatible
        codebase to support both Python 3 and Python 2 with minimal overhead.

commit log from danielj7:
New upstream future-py 0.16.0
Add py36 variant
2017-01-13: flake8-py35-3.2.1-1 (Modular source code checker)
Flake8 is a wrapper around these tools:

        PyFlakes
        pep8
        Ned Batchelder's McCabe script
        
        Flake8 runs all the tools by launching the single flake8 script. It
        displays the warnings in a per-file, merged output.

commit log from danielj7:
New upstream flake8-py 3.2.1
Need nose-py36 before adding py36 variant
2017-01-13: configparser-py35-3.5.0-1 (Backport of py32's configparser)
Backport of py32's configparser

commit log from danielj7:
Add py34, 35, 36 variants
2017-01-13: future-py36-0.16.0-1 (Single-source support for Python 3 and 2)
future is the missing compatibility layer between Python 3 and
        Python 2. It allows you to use a single, clean Python 3.x-compatible
        codebase to support both Python 3 and Python 2 with minimal overhead.

commit log from danielj7:
New upstream future-py 0.16.0
Add py36 variant
2017-01-13: flake8-py27-3.2.1-1 (Modular source code checker)
Flake8 is a wrapper around these tools:

        PyFlakes
        pep8
        Ned Batchelder's McCabe script
        
        Flake8 runs all the tools by launching the single flake8 script. It
        displays the warnings in a per-file, merged output.

commit log from danielj7:
New upstream flake8-py 3.2.1
Need nose-py36 before adding py36 variant
2017-01-13: future-py35-0.16.0-1 (Single-source support for Python 3 and 2)
future is the missing compatibility layer between Python 3 and
        Python 2. It allows you to use a single, clean Python 3.x-compatible
        codebase to support both Python 3 and Python 2 with minimal overhead.

commit log from danielj7:
New upstream future-py 0.16.0
Add py36 variant
2017-01-13: configparser-py34-3.5.0-1 (Backport of py32's configparser)
Backport of py32's configparser

commit log from danielj7:
Add py34, 35, 36 variants
2017-01-13: xfig-3.2.6-3 (Menu-driven tool to create graphical objects)
Menu-driven tool to create graphical objects

commit log from alexkhansen:
Seems not to like libXaw3d.8.dylib from libxaw3dxft-shlibs anymore.  Using
XQuartz's version fixes nonresponsive dialog boxes.
2017-01-13: mock-py36-2.0.0-1 (Python mocking/patching library for testing)
mock provides a core Mock class that is intended to reduce the need to create a
host of trivial stubs throughout your test suite. After performing an action,
you can make assertions about which methods / attributes were used and
arguments they were called with. You can also specify return values and set
specific attributes in the normal way.

commit log from danielj7:
Add py34, 35, 36 variants
2017-01-13: mock-py27-2.0.0-1 (Python mocking/patching library for testing)
mock provides a core Mock class that is intended to reduce the need to create a
host of trivial stubs throughout your test suite. After performing an action,
you can make assertions about which methods / attributes were used and
arguments they were called with. You can also specify return values and set
specific attributes in the normal way.

commit log from danielj7:
Add py34, 35, 36 variants
2017-01-13: mock-py34-2.0.0-1 (Python mocking/patching library for testing)
mock provides a core Mock class that is intended to reduce the need to create a
host of trivial stubs throughout your test suite. After performing an action,
you can make assertions about which methods / attributes were used and
arguments they were called with. You can also specify return values and set
specific attributes in the normal way.

commit log from danielj7:
Add py34, 35, 36 variants
2017-01-13: mock-py35-2.0.0-1 (Python mocking/patching library for testing)
mock provides a core Mock class that is intended to reduce the need to create a
host of trivial stubs throughout your test suite. After performing an action,
you can make assertions about which methods / attributes were used and
arguments they were called with. You can also specify return values and set
specific attributes in the normal way.

commit log from danielj7:
Add py34, 35, 36 variants
2017-01-13: bitstring-py36-3.1.5-1 (Python module to help you manage your bits)
bitstring is a pure Python module designed to help make the creation,
        manipulation and analysis of binary data as simple and natural as
        possible.

        BitStrings can be constructed from integers (big and little endian),
        hex, octal, binary, strings or files. They can be sliced, joined,
        reversed, inserted into, overwritten, etc. with simple functions or
        slice notation. They can also be read from, searched and replaced, and
        navigated in, similar to a file or stream.

commit log from danielj7:
New upstream bitstring-py 3.1.5
Add py36 variant
2017-01-13: bitstring-py34-3.1.5-1 (Python module to help you manage your bits)
bitstring is a pure Python module designed to help make the creation,
        manipulation and analysis of binary data as simple and natural as
        possible.

        BitStrings can be constructed from integers (big and little endian),
        hex, octal, binary, strings or files. They can be sliced, joined,
        reversed, inserted into, overwritten, etc. with simple functions or
        slice notation. They can also be read from, searched and replaced, and
        navigated in, similar to a file or stream.

commit log from danielj7:
New upstream bitstring-py 3.1.5
Add py36 variant
2017-01-13: bitstring-py35-3.1.5-1 (Python module to help you manage your bits)
bitstring is a pure Python module designed to help make the creation,
        manipulation and analysis of binary data as simple and natural as
        possible.

        BitStrings can be constructed from integers (big and little endian),
        hex, octal, binary, strings or files. They can be sliced, joined,
        reversed, inserted into, overwritten, etc. with simple functions or
        slice notation. They can also be read from, searched and replaced, and
        navigated in, similar to a file or stream.

commit log from danielj7:
New upstream bitstring-py 3.1.5
Add py36 variant
2017-01-13: bitstring-py27-3.1.5-1 (Python module to help you manage your bits)
bitstring is a pure Python module designed to help make the creation,
        manipulation and analysis of binary data as simple and natural as
        possible.

        BitStrings can be constructed from integers (big and little endian),
        hex, octal, binary, strings or files. They can be sliced, joined,
        reversed, inserted into, overwritten, etc. with simple functions or
        slice notation. They can also be read from, searched and replaced, and
        navigated in, similar to a file or stream.

commit log from danielj7:
New upstream bitstring-py 3.1.5
Add py36 variant
2017-01-12: boost1.63-systempython-1.63.0-2 (Boost C++ Libraries: static and source libs)
The Boost web site provides free peer-reviewed portable C++ source 
 libraries.  The emphasis is on libraries which work well with the 
 C++ Standard Library.  The libraries are intended to be widely useful, 
 and are in regular use by thousands of programmers across a broad 
 spectrum of applications.

 A further goal is to establish "existing practice" and provide 
 reference implementations so that Boost libraries are suitable for 
 eventual standardization.  Ten Boost libraries will be included in 
 the C++ Standards Committee's upcoming C++ Standard Library Technical 
 Report as a step toward becoming part of a future C++ Standard.

 Although Boost was begun by members of the C++ Standards Committee 
 Library Working Group, participation has expanded to include thousands 
 of programmers from the C++ community at large.

commit log from nieder:
don't build the boost_fiber library because it is Xcode version dependent
2017-01-12: boost1.63-nopython-1.63.0-2 (Boost C++ Libraries: static and source libs)
The Boost web site provides free peer-reviewed portable C++ source 
 libraries.  The emphasis is on libraries which work well with the 
 C++ Standard Library.  The libraries are intended to be widely useful, 
 and are in regular use by thousands of programmers across a broad 
 spectrum of applications.

 A further goal is to establish "existing practice" and provide 
 reference implementations so that Boost libraries are suitable for 
 eventual standardization.  Ten Boost libraries will be included in 
 the C++ Standards Committee's upcoming C++ Standard Library Technical 
 Report as a step toward becoming part of a future C++ Standard.

 Although Boost was begun by members of the C++ Standards Committee 
 Library Working Group, participation has expanded to include thousands 
 of programmers from the C++ community at large.

commit log from nieder:
don't build the boost_fiber library because it is Xcode version dependent
2017-01-12: boost1.63-python36-1.63.0-2 (Boost C++ Libraries: static and source libs)
The Boost web site provides free peer-reviewed portable C++ source 
 libraries.  The emphasis is on libraries which work well with the 
 C++ Standard Library.  The libraries are intended to be widely useful, 
 and are in regular use by thousands of programmers across a broad 
 spectrum of applications.

 A further goal is to establish "existing practice" and provide 
 reference implementations so that Boost libraries are suitable for 
 eventual standardization.  Ten Boost libraries will be included in 
 the C++ Standards Committee's upcoming C++ Standard Library Technical 
 Report as a step toward becoming part of a future C++ Standard.

 Although Boost was begun by members of the C++ Standards Committee 
 Library Working Group, participation has expanded to include thousands 
 of programmers from the C++ community at large.

commit log from nieder:
don't build the boost_fiber library because it is Xcode version dependent
2017-01-12: boost1.63-python27-1.63.0-2 (Boost C++ Libraries: static and source libs)
The Boost web site provides free peer-reviewed portable C++ source 
 libraries.  The emphasis is on libraries which work well with the 
 C++ Standard Library.  The libraries are intended to be widely useful, 
 and are in regular use by thousands of programmers across a broad 
 spectrum of applications.

 A further goal is to establish "existing practice" and provide 
 reference implementations so that Boost libraries are suitable for 
 eventual standardization.  Ten Boost libraries will be included in 
 the C++ Standards Committee's upcoming C++ Standard Library Technical 
 Report as a step toward becoming part of a future C++ Standard.

 Although Boost was begun by members of the C++ Standards Committee 
 Library Working Group, participation has expanded to include thousands 
 of programmers from the C++ community at large.

commit log from nieder:
don't build the boost_fiber library because it is Xcode version dependent
2017-01-12: mercurial-py27-4.0.2-1 (Lightweight distributed SCM)
Mercurial is a fast, lightweight source control management 
system designed for efficient handling of very large 
distributed projects. Features include:

 * O(1) delta-compressed file storage and retrieval scheme
 * Complete cross-indexing of file and changesets for 
   efficient exploration of project history
 * Robust SHA1-based integrity checking and append-only 
   storage model
 * Decentralized development model with arbitrary merging 
   between trees
 * High-speed HTTP-based network merge protocol
 * Easy-to-use command-line interface
 * Integrated stand-alone web interface
 * Small Python codebase
 * GPL license

commit log from danielj7:
New upstream mercurial 4.0.2
2017-01-12: mercurial-4.0.2-1 (Lightweight distributed SCM)
Lightweight distributed SCM

commit log from danielj7:
New upstream mercurial 4.0.2