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<izabera> ` base64 -d <<< H4sIAAhyqVYCAy2NQQ6CMBRE9z3F+MNCE2zEHQvWXsCdYtLKJxKx39ASMA13F9DVzLzMZGxhJYSWYYptJCd4ScdILPk0u86axqPWeT7RymaRGpa5ox2GgsQhPBiDaVtSY7Gls3kyxDEqGVyKt/EeTYDppHcVgU6CIOvGh+XIuAq2/8DLi9dr2qlaOjRoHGKea32YVCWK7w8BJdFcmvI2IRlS/MKkVRLHy2Z2f7TPyqWgad45/gLSidNX4AAAAA== | zcat > 99
author HackBot
date Thu, 28 Jan 2016 01:46:05 +0000
parents bdb161c7f923
children
Ignore whitespace changes - Everywhere: Within whitespace: At end of lines:
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398
bdb161c7f923 <elliott> run words --help | paste
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1 Usage: words [-dhNo] [DATASETS...] [NUMBER_OF_WORDS]
bdb161c7f923 <elliott> run words --help | paste
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2
bdb161c7f923 <elliott> run words --help | paste
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3 options:
bdb161c7f923 <elliott> run words --help | paste
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4 -l, --list list valid datasets
bdb161c7f923 <elliott> run words --help | paste
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5 -d, --debug debugging output
bdb161c7f923 <elliott> run words --help | paste
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6 -N, --dont-normalize don't normalize frequencies when combining
bdb161c7f923 <elliott> run words --help | paste
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7 multiple Markov models; this has the effect
bdb161c7f923 <elliott> run words --help | paste
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8 of making larger datasets more influential
bdb161c7f923 <elliott> run words --help | paste
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9 -o, --target-offset change the target length offset used in the
bdb161c7f923 <elliott> run words --help | paste
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10 word generation algorithm; use negative integers
bdb161c7f923 <elliott> run words --help | paste
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11 for best results