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Copy pathtable_19.sh
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executable file
·21 lines (19 loc) · 2.2 KB
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#!/bin/bash
python3 -m fastparameterselection.estimate --param "logq" --lambda "100" --n "1024" --hw "64" --secret "sparse" -v --table
python3 -m fastparameterselection.estimate --param "logq" --lambda "100" --n "1024" --hw "128" --secret "sparse" -v --table
python3 -m fastparameterselection.estimate --param "logq" --lambda "100" --n "1024" --hw "192" --secret "sparse" -v --table
python3 -m fastparameterselection.estimate --param "logq" --lambda "128" --n "1024" --hw "64" --secret "sparse" -v --table
python3 -m fastparameterselection.estimate --param "logq" --lambda "128" --n "1024" --hw "128" --secret "sparse" -v --table
python3 -m fastparameterselection.estimate --param "logq" --lambda "128" --n "1024" --hw "192" --secret "sparse" -v --table
python3 -m fastparameterselection.estimate --param "logq" --lambda "192" --n "1024" --hw "64" --secret "sparse" -v --table
python3 -m fastparameterselection.estimate --param "logq" --lambda "192" --n "1024" --hw "128" --secret "sparse" -v --table
python3 -m fastparameterselection.estimate --param "logq" --lambda "192" --n "1024" --hw "192" --secret "sparse" -v --table
python3 -m fastparameterselection.estimate --param "logq" --lambda "100" --n "32768" --hw "64" --secret "sparse" -v --table
python3 -m fastparameterselection.estimate --param "logq" --lambda "100" --n "32768" --hw "128" --secret "sparse" -v --table
python3 -m fastparameterselection.estimate --param "logq" --lambda "100" --n "32768" --hw "192" --secret "sparse" -v --table
python3 -m fastparameterselection.estimate --param "logq" --lambda "128" --n "32768" --hw "64" --secret "sparse" -v --table
python3 -m fastparameterselection.estimate --param "logq" --lambda "128" --n "32768" --hw "128" --secret "sparse" -v --table
python3 -m fastparameterselection.estimate --param "logq" --lambda "128" --n "32768" --hw "192" --secret "sparse" -v --table
python3 -m fastparameterselection.estimate --param "logq" --lambda "192" --n "32768" --hw "64" --secret "sparse" -v --table
python3 -m fastparameterselection.estimate --param "logq" --lambda "192" --n "32768" --hw "128" --secret "sparse" -v --table
python3 -m fastparameterselection.estimate --param "logq" --lambda "192" --n "32768" --hw "192" --secret "sparse" -v --table