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Merging from upstream trunk.
Merging from upstream trunk.

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pwordfreq.py
46 lines | 1.3 KiB | text/x-python | PythonLexer
Brian E Granger
Adding examples from ipython1-dev to docs/examples/kernel. These ...
r1337 #!/usr/bin/env python
"""Parallel word frequency counter."""
from itertools import repeat
from wordfreq import print_wordfreq, wordfreq
def pwordfreq(rc, text):
"""Parallel word frequency counter.
rc - An IPython RemoteController
text - The name of a string on the engines to do the freq count on.
"""
rc.execute('freqs = wordfreq(%s)' %text)
freqs_list = rc.pull('freqs')
word_set = set()
for f in freqs_list:
word_set.update(f.keys())
freqs = dict(zip(word_set, repeat(0)))
for f in freqs_list:
for word, count in f.iteritems():
freqs[word] += count
return freqs
if __name__ == '__main__':
# Create a MultiEngineClient
Brian E Granger
Fixed most of the examples. A few still don't work, but this is a start.
r1338 from IPython.kernel import client
Brian E Granger
Adding examples from ipython1-dev to docs/examples/kernel. These ...
r1337 ipc = client.MultiEngineClient()
# Run the wordfreq script on the engines.
ipc.run('wordfreq.py')
# Run the serial version
print "Serial word frequency count:"
text = open('davinci.txt').read()
freqs = wordfreq(text)
print_wordfreq(freqs, 10)
# The parallel version
print "\nParallel word frequency count:"
files = ['davinci%i.txt' % i for i in range(4)]
ipc.scatter('textfile', files)
ipc.execute('text = open(textfile[0]).read()')
pfreqs = pwordfreq(ipc,'text')
print_wordfreq(freqs)