A python library for writing C/C++ configure files.
# AC.py - Python Autoconf #
## Introduction #
AC.py is a Python implementation of the popular autoconf tool used in ascertaining a sane, stable environment before attempting to build large projects. The purpose of AC.py is to provide a simpler way of performing these tests, along with added functionality to resolve environmental issues at the same time.
### License #
AC.py is licensed with [GPLv3](http://www.gnu.org). This is free software that may be used by anyone for any purposes and distributed freely, and comes with no warranty.
### Author Info. # Originally authored by [Tom A. Thorogood](mailto:firstname.lastname@example.org).
AC.py’s central repository is located at [github.com/tomthorogood/ac.py](http://www.github.com/tomthorogood/ac.py).
## Installation #
AC.py can be installed using
pip install ac
Additionally, you can clone and install yourself using:
git clone git://github.com/tomthorogood/AC.py cd AC.py python setup.py install
You do not need to install ac.py in order to use it. It can be cloned and used as any standard Python module.
## Usage #
AC.py aims to be simpler than than traditional autoconf, and is highly customizable. The following tutorial will allow you to:
- Test for libraries and executables
- Set up distribution-specific alternatives for failed tests
- Use test results to populate fields in a manifest Makefile.
## The Shell Environment#
AC.py will always attempt to test the shell environment first. The default
shell can be changed using the
--shell flag. When running any shell scripts
generated by AC.py or written by you, the hashbang interpreter directive will
always be at the head of each script (#!/bin/sh), using the results from the
shell environment test.
If you do not want your users to have to use the shell flag, but do want to require a specific shell environment, you can set the default using
# ac.set_shell ac.set_shell(“sh”) ac.set_shell(“bash”) ac.set_shell(“tcsh”)
However, it is highgly recommended that you use bash commands and scripts that will work across all platforms and shells.
## Required Successes #
Tests marked as required (or called with a ‘require’ function) will halt the configuration script if the test is not a success and there is no fail alternative provided.
## A Generic Test #
You can use any Python scripting to come up with a true/false result and pass the result into the test framework using
# ac.test(“test_name”, result, [required=True|False])
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|Filename, Size & Hash SHA256 Hash Help||File Type||Python Version||Upload Date|
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