how to distribute my task defined in example.py to two clients computers using mincemeat?
<p>I've downloaded the mincemeat.py with example from the</p>

<p><a href="https://github.com/michaelfairley/mincemeatpy/zipball/v0.1.2" rel="nofollow">https://github.com/michaelfairley/mincemeatpy/zipball/v0.1.2</a></p>

<p>example.py as follows :: </p>

<pre><code>#!/usr/bin/env python
import mincemeat

    data = ["Humpty Dumpty sat on a wall",
            "Humpty Dumpty had a great fall",
            "All the King's horses and all the King's men",
            "Couldn't put Humpty together again",
           ]

datasource = dict(enumerate(data))

def mapfn(k, v):
    for w in v.split():
        yield w, 1

def reducefn(k, vs):
    result = sum(vs)
    return result

s = mincemeat.Server()
s.datasource = datasource
s.mapfn = mapfn
s.reducefn = reducefn

results = s.run_server(password="changeme")
print results
</code></pre>

<p>It is used for word counting program.</p>

<p>I've connected two computers in network by LAN.
I have used one computer as a server and run example.py on it and on second computer as client , I've run mincemeat.py with following command line statement                "python mincemeat.py -p changeme server-IP"   .and it works fine.</p>

<p>Now I have connected 3 computers in LAN by router.Then one machine work as a server and I want to run the example.py on it.and remaining two machines as client machines.</p>

<p>I want to distribute the task to my two clients machines .So what is the process to distribute the task of the map and reduce to the two computers?How can i distribute my task defined in example.py, to two clients computers with their unique IP's respectively?</p>
