Andy Lester <a...@petdance.com> added the comment:
Yes, I ran it multiple times on my 2013 Macbook Pro and got ~10% speedup. I also ran it on my Linux VM (that I only use for development) and got a speedup but less so. The code I used to run the tests is at: https://github.com/petdance/cpython/blob/Issue39150/timetests LOG=timelog.txt NRUNS=100 NFILES=100 if [ -x ./python.exe ] ; then PYTHON=./python.exe else PYTHON=./python fi # Build a file list, but throw out some that have syntax errors. # Use the 100 biggest files. FILES=$( find . -name '*.py' -type f -ls \ | grep -v Tools/test2to3/ \ | grep -v Lib/lib2to3/tests/ \ | grep -v Lib/test/badsyntax \ | grep -v Lib/test/bad_coding \ | sort -r -n -k7 \ | awk '{print $11}' \ | head -n $NFILES ) echo "Compiling $NFILES files for $NRUNS iterations" rm -f $LOG for (( i=1; i<=$NRUNS; i++ )) do echo "Run $i" { time $PYTHON -m py_compile $FILES; } >> $LOG 2>&1 done perl -ne'if(/real\s+0m([\d.]+)s/){$t+=$1;$n++} END { printf "%d runs, average %0.4f\n", $n, $t/$n}' $LOG ---------- _______________________________________ Python tracker <rep...@bugs.python.org> <https://bugs.python.org/issue39150> _______________________________________ _______________________________________________ Python-bugs-list mailing list Unsubscribe: https://mail.python.org/mailman/options/python-bugs-list/archive%40mail-archive.com
