Hi,
I've bumped into another "same code different result" problem -- my `go
test` runs fine locally but on Travis,
https://travis-ci.org/go-dedup/fsimilar/builds/271540570
it is broken.
I've verified at least four or five times that *all* my local code have
been pushed to github. Now I've run out of ideas why the same source will
have different behavior after compiling into executables on different
machines.
Mine is go 1.9 under Ubuntu 17.04.
Somebody help please.
FYI, the tool I'm building would spot similar files within the file system
very quickly.
$ fsimilar
find/file similar
Version 0.1.0 built on 2017-09-03
Find similar files
Options:
-h, --help display help information
-S, --size-given size of the files in input as first field
-Q, --query-size query the file sizes from os
-i, --input *input from stdin or the given file (mandatory)
-p, --phonetic use phonetic as words for further error tolerant
-F, --final produce final output, the recommendations
-c, --cp[=$FSIM_CP] config path, path that hold all template files
-v, --verbose verbose mode (multiple -v increase the verbosity)
Commands:
sim Filter the input using simhash similarity check
vec Use Vector Space for similarity check
$ cat test/sim.lstA
test/sim/Audio Book - The Grey Coloured Bunnie.mp3
test/sim/GNU - Python Standard Library (2001).rar
test/sim/PopupTest.java
test/sim/(eBook) GNU - Python Standard Library 2001.pdf
test/sim/Python Standard Library.zip
test/sim/GNU - 2001 - Python Standard Library.pdf
test/sim/LayoutTest.java
test/sim/ColoredGrayBunny.ogg
$ fsimilar sim
Filter the input using simhash similarity check
Usage:
mlocate -i soccer | fsimilar sim -i
Options:
-h, --help display help information
-S, --size-given size of the files in input as first field
-Q, --query-size query the file sizes from os
-i, --input *input from stdin or the given file (mandatory)
-p, --phonetic use phonetic as words for further error tolerant
-F, --final produce final output, the recommendations
-c, --cp[=$FSIM_CP] config path, path that hold all template files
-v, --verbose verbose mode (multiple -v increase the verbosity)
-d, --dist[=3] the hamming distance of hashes within which to deem
similar
$ fsimilar sim -i test/sim.lstA -d 12
1 test/sim/(eBook) GNU - Python Standard Library 2001.pdf
1 test/sim/GNU - Python Standard Library (2001).rar
1 test/sim/GNU - 2001 - Python Standard Library.pdf
1 test/sim/Python Standard Library.zip
$ fsimilar vec
Use Vector Space for similarity check
Usage:
{ mlocate -i soccer; mlocate -i football; } | fsimilar sim -i | fsimilar
vec -i -S -Q -F
Options:
-h, --help display help information
-S, --size-given size of the files in input as first field
-Q, --query-size query the file sizes from os
-i, --input *input from stdin or the given file (mandatory)
-p, --phonetic use phonetic as words for further error tolerant
-F, --final produce final output, the recommendations
-c, --cp[=$FSIM_CP] config path, path that hold all template files
-v, --verbose verbose mode (multiple -v increase the verbosity)
-t, --thr[=0.86] the threshold above which to deem similar (0.8 =
80%)
$ fsimilar vec -i test/sim.lstA -t 0.7
1 test/sim/GNU - Python Standard Library (2001).rar
1 test/sim/(eBook) GNU - Python Standard Library 2001.pdf
1 test/sim/Python Standard Library.zip
1 test/sim/GNU - 2001 - Python Standard Library.pdf
$ fsimilar vec -i test/sim.lstA -t 0.7 -p
1 test/sim/Audio Book - The Grey Coloured Bunnie.mp3
1 test/sim/ColoredGrayBunny.ogg
1 test/sim/GNU - Python Standard Library (2001).rar
1 test/sim/(eBook) GNU - Python Standard Library 2001.pdf
1 test/sim/Python Standard Library.zip
1 test/sim/GNU - 2001 - Python Standard Library.pdf
I meant, I hope you can try pulling off from remote yourself and try
testing it with your local machine, as it would be a useful tool
eventually.
Thanks for helping!
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