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Port details
py-schematics-patched Patched version of schematics that can pickle with multiprocessing
1.1.2.p devel on this many watch lists=0 search for ports that depend on this port Find issues related to this port Report an issue related to this port
1.1.2.pVersion of this port present on the latest quarterly branch.
Maintainer: kai@FreeBSD.org search for ports maintained by this maintainer
Port Added: 2018-07-28 12:15:55
Last Update: 2019-02-01 18:55:18
SVN Revision: 491837
Also Listed In: python
License: BSD3CLAUSE
Schematics is a Python library to combine types into structures, validate them,
and transform the shapes of your data based on simple descriptions.

The internals are similar to ORM type systems, but there is no database layer in
Schematics. Instead, we believe that building a database layer is made
significantly easier when Schematics handles everything but writing the query.

Further, it can be used for a range of tasks where having a database involved
may not make sense.

Some common use cases:

- Design and document specific data structures
- Convert structures to and from different formats such as JSON or MsgPack
- Validate API inputs
- Remove fields based on access rights of some data's recipient
- Define message formats for communications protocols, like an RPC
- Custom persistence layers

Note: This is the patched version from the 1.1.x branch that can pickle with
      multiprocessing using the old API.

WWW: https://github.com/pombredanne/schematics
SVNWeb : Homepage

There is no configure plist information for this port.

Dependency lines:
  • py27-schematics-patched>0:devel/py-schematics-patched

To install the port: cd /usr/ports/devel/py-schematics-patched/ && make install clean
To add the package: pkg install py27-schematics-patched

PKGNAME: py27-schematics-patched

Package flavors (<flavor>: <package>)
  • py27: py27-schematics-patched
  • py36: py36-schematics-patched

distinfo:

TIMESTAMP = 1530566305
SHA256 (pombredanne-schematics-v1.1.2-patch_GH0.tar.gz) = 59bf5d4742b8d43f2853b6a45649ae2bb37a9fbc994ead4bca811176ee2ad4c5
SIZE (pombredanne-schematics-v1.1.2-patch_GH0.tar.gz) = 71544


NOTE: FreshPorts displays only information on required and default dependencies. Optional dependencies are not covered.

Build dependencies:
  1. py27-setuptools>0 : devel/py-setuptools@py27
  2. python2.7 : lang/python27
Runtime dependencies:
  1. py27-six>=1.7.3 : devel/py-six@py27
  2. py27-setuptools>0 : devel/py-setuptools@py27
  3. python2.7 : lang/python27
There are no ports dependent upon this port

Configuration Options
     No options to configure

USES:
python

Master Sites:
  1. https://codeload.github.com/pombredanne/schematics/tar.gz/v1.1.2-patch?dummy=/
Notes from UPDATING
These upgrade notes are taken from /usr/ports/UPDATING
  • 2017-11-30
    Affects: */py*
    Author: mat@FreeBSD.org
    Reason: 
      Ports using Python via USES=python are now flavored.  All the py3-* ports
      have been removed and folded into their py-* master ports.
    
      People using Poudriere 3.2+ and binary packages do not have to do anything.
    
      For other people, to build the Python 3.6 version of, for example,
      databases/py-gdbm, you need to run:
    
        # make FLAVOR=py36 install
    
    

Number of commits found: 2

Commit History - (may be incomplete: see SVNWeb link above for full details)
DateByDescription
01 Feb 2019 18:55:18
Original commit files touched by this commit  1.1.2.p
Revision:491837
kai search for other commits by this committer
Change my maintainer email address to my new one at the FreeBSD project.

Reviewed by:	miwi (mentor)
Approved by:	miwi (mentor)
Differential Revision: https://reviews.freebsd.org/D19050
28 Jul 2018 12:15:40
Original commit files touched by this commit  1.1.2.p
Revision:475541
miwi search for other commits by this committer
Schematics is a Python library to combine types into structures, validate them,
and transform the shapes of your data based on simple descriptions.

The internals are similar to ORM type systems, but there is no database layer in
Schematics. Instead, we believe that building a database layer is made
significantly easier when Schematics handles everything but writing the query.

Further, it can be used for a range of tasks where having a database involved
may not make sense.

Some common use cases:

- Design and document specific data structures
- Convert structures to and from different formats such as JSON or MsgPack
- Validate API inputs
(Only the first 15 lines of the commit message are shown above View all of this commit message)

Number of commits found: 2

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