view paste/paste.29925 @ 3903:0f6dc05fb0d4

<boily> echo -e "#!/usr/bin/env python\\n# -*- encoding: utf-8 -*-\\nimport sys\\nimport unicodedata\\ntry:\\n print u\'\'.join(map(unicodedata.lookup, sys.argv[1:])).encode(\'utf-8\')\\nexcept KeyError:\\n print u\'\xc3\x9a\xc5\x84\xe1\xb8\xb1\xc5\x84\xc3\xb3\xe1\xba\x83\xc5\x84 \xc4\x87h\xcc\x81\xc3\xa1\xc5\x95\xc3\xa1\xc4\x87t\xcc\x81\xc3\xa9\xc5\x95.\'" >bin/unicode
author HackBot
date Fri, 11 Oct 2013 15:24:35 +0000
parents bdb161c7f923
children
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Usage: words [-dhNo] [DATASETS...] [NUMBER_OF_WORDS]

options:
  -l, --list             list valid datasets
  -d, --debug            debugging output
  -N, --dont-normalize   don't normalize frequencies when combining
                         multiple Markov models; this has the effect
                         of making larger datasets more influential
  -o, --target-offset    change the target length offset used in the
                         word generation algorithm; use negative integers
                         for best results