% ssscore(1) Version 2.10.5 | Speed Skydiving Scoring command line tool
sscore - Speed Skydiving Scoring tool for processing spped dive FlySight files
pip install -U ssscoringssscore will be located in either of these paths:
$VIRTUAL_ENV/bin/ssscore/usr/local/bin/ssscore
Command after installation:
ssscore [-e x.y] [-t] datalakeWhere:
-
datalakeis a directory containing one or more speed skydiving tracks, either in the topmost directory or nested.ssscoreignores all files present in the data lake that aren't speed skydives, even if they are FlySight-compatible CSV files. -
-eis drop zone elevation MSL in ft; defaults to 0.0;x.yis a floating point number. -
-tif present, generates training output rounded values without decimals. Many speeders prefer to report 481 instead of 480.731 or 482 instead of 482.297 for training logs.
Examples:
Scores all of Joe's files in his speed skydiving directory, sets the DZ elevation to 616 ft (Skydive Chicago), and wants training output with rounded values (no decimals):
ssscore -e 616 -t /Users/joe/speed-skydiving/tracksScore all the files present in the FlySight device mounted at /mnt:
mount /dev/sda1 /mnt/FLYSIGHT1
ssscore /mnt/FLYSIGHT1
umount /mnt/FLYSIGHT1ssscore processes speed skydiving FlySight files in bulk. Track files can
be in versions 1 or 2, or even in SkyTrax format. The program scores files
according to the International Skydiving Commission, the International Speed
Skydiving Association, and the United States Parachute Association scoring and
competition rules.
ssscore writes only to stdout. It's output may be redicrected or piped as
required.
datalake is a directory containing one or more speed skydiving tracks,
either at the topmost level or nested. ssscore ignores all files present in
the data lake that aren't speed skydives, even if they are FlySight-compatible
CSV files.
The man page or README.md file for the SSScoring API have a longer description
of what a data lake is and how ssscore treats it.
-e, --elevation x.y - Drop zone elevation MSL; defaults to 0.
/usr/local/bin/ssscore if installed via pip to the derault Python run-time
$VIRTUAL_ENV/bin/ssscore if installed to an active virtual environment.
None.
ssscoring(3)
Project: https://github.com/pr3d4t0r/SSScoring
The SSScoring package, documentation and examples are licensed under the BSD-3 open source license.