Add a "setup.py" for pip-installing from GitHub.

You can now install Copycat into your Python virtualenv without even
checking out this repository! Just run this command:

    pip install -e git+git://github.com/Quuxplusone/co.py.cat.git#egg=copycat

To check out a specific branch,

    pip install -e git+git://github.com/Quuxplusone/co.py.cat.git@branch#egg=copycat
This commit is contained in:
Arthur O'Dwyer
2017-04-18 17:33:20 -07:00
parent a3b977846e
commit 65124fa45d
4 changed files with 66 additions and 20 deletions

View File

@ -1,34 +1,56 @@
co.py.cat
=========
An implementation of [Douglas Hofstadter](http://prelectur.stanford.edu/lecturers/hofstadter/)'s copycat algorithm. The copycat algorithm is explained [on Wikipedia](https://en.wikipedia.org/wiki/Copycat_%28software%29), and that page has many links for deeper reading.
An implementation of [Douglas Hofstadter](http://prelectur.stanford.edu/lecturers/hofstadter/)'s Copycat algorithm.
The Copycat algorithm is explained [on Wikipedia](https://en.wikipedia.org/wiki/Copycat_%28software%29), and that page has many links for deeper reading.
This implementation is a copycat of Scott Boland's [Java implementation](http://itee.uq.edu.au/~scottb/_Copycat/), but re-written into Python. It's not a direct translation - but based on his code. I did not carry over the GUI, as this version can more usefully be run from command line, or imported for use by other Python scripts.
This implementation is a copycat of Scott Boland's [Java implementation](https://archive.org/details/JavaCopycat).
The original Java-to-Python translation work was done by J Alan Brogan (@jalanb on GitHub).
The Java version has a GUI similar to the original Lisp; this Python version has no GUI code built in but can be incorporated into a larger GUI program.
In cases where I could not grok the Java implementation easily I took ideas from the [LISP implementation](http://web.cecs.pdx.edu/~mm/how-to-get-copycat.html), or directly from [Melanie Mitchell](https://en.wikipedia.org/wiki/Melanie_Mitchell)'s "[Analogy-Making as Perception](http://www.amazon.com/Analogy-Making-Perception-Computer-Melanie-Mitchell/dp/0262132893/ref=tmm_hrd_title_0?ie=UTF8&qid=1351269085&sr=1-3)"
J Alan Brogan writes:
> In cases where I could not grok the Java implementation easily, I took ideas from the
> [LISP implementation](http://web.cecs.pdx.edu/~mm/how-to-get-copycat.html), or directly
> from [Melanie Mitchell](https://en.wikipedia.org/wiki/Melanie_Mitchell)'s book
> "[Analogy-Making as Perception](http://www.amazon.com/Analogy-Making-Perception-Computer-Melanie-Mitchell/dp/0262132893/ref=tmm_hrd_title_0?ie=UTF8&qid=1351269085&sr=1-3)".
I also tried to make the code more pythonic.
Cloning the repo
----------------
Installation
------------
To clone the repo locally, run these commands:
There are no particular installation instructions, just clone and run, e.g.
```sh
$ git clone https://github.com/jalanb/co.py.cat.git
```
$ git clone https://github.com/Quuxplusone/co.py.cat.git
$ cd co.py.cat/copycat
$ python main.py abc abd ijk
$ python main.py abc abd ppqqrr 10
```
Running
-------
The script takes three or four arguments.
The first two are a pair of strings with some change, for example "abc" and "abd".
The third is a string which the script should try to change analogously.
The fourth (which defaults to "1") is a number of iterations.
The script takes three arguments.
The first two are a pair of triplets with some change, for example "abc" and "abd".
The third is a triplet which the script should try to change analogously
This might produce output such as
For example the following invocation will probably display "ijl"
```sh
$ python main.py abc abd ijk
```
ppqqss: 6 (avg time 869.0, avg temp 23.4)
ppqqrs: 4 (avg time 439.0, avg temp 37.3)
```
The first number indicates how many times Copycat chose that string as its answer; higher means "more obvious".
The last number indicates the average final temperature of the workspace; lower means "more elegant".
Installing the module
---------------------
To install the Python module and get started with it, run these commands:
```
$ pip install -e git+git://github.com/Quuxplusone/co.py.cat.git#egg=copycat
$ python
>>> from copycat import Copycat
>>> Copycat().run('abc', 'abd', 'ppqqrr', 10)
{'ppqqrs': {'count': 4, 'avgtime': 439, 'avgtemp': 37.3}, 'ppqqss': {'count': 6, 'avgtime': 869, 'avgtemp': 23.4}}
```
The result of `run` is a dict containing the same information as was printed by `main.py` above.

View File

@ -0,0 +1 @@
from copycat import Copycat

0
requirements.txt Normal file
View File

23
setup.py Normal file
View File

@ -0,0 +1,23 @@
#!/usr/bin/env python
from setuptools import setup
readme = open('README.md').read()
requirements = [l.strip() for l in open('requirements.txt').readlines()]
setup(
name='copycat',
version='0.0.1',
packages=['copycat'],
install_requires=[l.strip() for l in open('requirements.txt').readlines()],
package_data={'': ['LICENSE']},
# metadata for upload to PyPI
author="The Fluid Analogies Research Group, J Alan Brogan, and Arthur O'Dwyer",
author_email='arthur.j.odwyer@gmail.com',
description="Python implementation of Douglas Hofstadter's Copycat.",
license='MIT license',
long_description=open('README.md').read(),
keywords='ai analogy copycat farg fargitecture hofstadter slipnet',
url='https://github.com/Quuxplusone/co.py.cat',
)