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:
62
README.md
62
README.md
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co.py.cat
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=========
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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.
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An implementation of [Douglas Hofstadter](http://prelectur.stanford.edu/lecturers/hofstadter/)'s Copycat algorithm.
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The Copycat algorithm is explained [on Wikipedia](https://en.wikipedia.org/wiki/Copycat_%28software%29), and that page has many links for deeper reading.
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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.
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This implementation is a copycat of Scott Boland's [Java implementation](https://archive.org/details/JavaCopycat).
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The original Java-to-Python translation work was done by J Alan Brogan (@jalanb on GitHub).
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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.
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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)"
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J Alan Brogan writes:
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> In cases where I could not grok the Java implementation easily, I took ideas from the
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> [LISP implementation](http://web.cecs.pdx.edu/~mm/how-to-get-copycat.html), or directly
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> from [Melanie Mitchell](https://en.wikipedia.org/wiki/Melanie_Mitchell)'s book
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> "[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)".
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I also tried to make the code more pythonic.
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Cloning the repo
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----------------
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Installation
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------------
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To clone the repo locally, run these commands:
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There are no particular installation instructions, just clone and run, e.g.
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```sh
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$ git clone https://github.com/jalanb/co.py.cat.git
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```
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$ git clone https://github.com/Quuxplusone/co.py.cat.git
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$ cd co.py.cat/copycat
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$ python main.py abc abd ijk
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$ python main.py abc abd ppqqrr 10
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```
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Running
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-------
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The script takes three or four arguments.
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The first two are a pair of strings with some change, for example "abc" and "abd".
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The third is a string which the script should try to change analogously.
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The fourth (which defaults to "1") is a number of iterations.
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The script takes three arguments.
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The first two are a pair of triplets with some change, for example "abc" and "abd".
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The third is a triplet which the script should try to change analogously
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This might produce output such as
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For example the following invocation will probably display "ijl"
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```sh
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$ python main.py abc abd ijk
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```
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ppqqss: 6 (avg time 869.0, avg temp 23.4)
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ppqqrs: 4 (avg time 439.0, avg temp 37.3)
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```
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The first number indicates how many times Copycat chose that string as its answer; higher means "more obvious".
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The last number indicates the average final temperature of the workspace; lower means "more elegant".
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Installing the module
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---------------------
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To install the Python module and get started with it, run these commands:
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```
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$ pip install -e git+git://github.com/Quuxplusone/co.py.cat.git#egg=copycat
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$ python
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>>> from copycat import Copycat
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>>> Copycat().run('abc', 'abd', 'ppqqrr', 10)
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{'ppqqrs': {'count': 4, 'avgtime': 439, 'avgtemp': 37.3}, 'ppqqss': {'count': 6, 'avgtime': 869, 'avgtemp': 23.4}}
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```
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The result of `run` is a dict containing the same information as was printed by `main.py` above.
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@ -0,0 +1 @@
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from copycat import Copycat
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0
requirements.txt
Normal file
0
requirements.txt
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23
setup.py
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23
setup.py
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#!/usr/bin/env python
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from setuptools import setup
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readme = open('README.md').read()
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requirements = [l.strip() for l in open('requirements.txt').readlines()]
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setup(
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name='copycat',
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version='0.0.1',
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packages=['copycat'],
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install_requires=[l.strip() for l in open('requirements.txt').readlines()],
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package_data={'': ['LICENSE']},
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# metadata for upload to PyPI
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author="The Fluid Analogies Research Group, J Alan Brogan, and Arthur O'Dwyer",
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author_email='arthur.j.odwyer@gmail.com',
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description="Python implementation of Douglas Hofstadter's Copycat.",
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license='MIT license',
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long_description=open('README.md').read(),
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keywords='ai analogy copycat farg fargitecture hofstadter slipnet',
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url='https://github.com/Quuxplusone/co.py.cat',
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)
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