usage: scalene [-h] [--version] [--column-width COLUMN_WIDTH]
               [--outfile OUTFILE] [--html] [--json] [--reduced-profile]
               [--profile-interval PROFILE_INTERVAL] [--cpu-only]
               [--profile-all] [--profile-only PROFILE_ONLY]
               [--profile-exclude PROFILE_EXCLUDE] [--use-virtual-time]
               [--cpu-percent-threshold CPU_PERCENT_THRESHOLD]
               [--cpu-sampling-rate CPU_SAMPLING_RATE]
               [--allocation-sampling-window ALLOCATION_SAMPLING_WINDOW]
               [--malloc-threshold MALLOC_THRESHOLD]
               [--program-path PROGRAM_PATH] [--memory-leak-detector]
               [--on | --off]

Scalene: a high-precision CPU and memory profiler, version 1.4.0
https://github.com/plasma-umass/scalene

command-line:
  % scalene [options] yourprogram.py
or
  % python3 -m scalene [options] yourprogram.py

in Jupyter, line mode:
  %scrun [options] statement

in Jupyter, cell mode:
  %%scalene [options]
   your code here


optional arguments:
  -h, --help            show this help message and exit
  --version             prints the version number for this release of Scalene and exits
  --column-width COLUMN_WIDTH
                        Column width for profile output (default: 132)
  --outfile OUTFILE     file to hold profiler output (default: stdout)
  --html                output as HTML (default: text)
  --json                output as JSON (default: text)
  --reduced-profile     generate a reduced profile, with non-zero lines only (default: False)
  --profile-interval PROFILE_INTERVAL
                        output profiles every so many seconds (default: inf)
  --cpu-only            only profile CPU+GPU time (default: profile CPU+GPU, memory, and copying)
  --profile-all         profile all executed code, not just the target program (default: only the target program)
  --profile-only PROFILE_ONLY
                        profile only code in filenames that contain the given strings, separated by commas (default: no restrictions)
  --profile-exclude PROFILE_EXCLUDE
                        do not profile code in filenames that contain the given strings, separated by commas (default: no restrictions)
  --use-virtual-time    measure only CPU time, not time spent in I/O or blocking (default: False)
  --cpu-percent-threshold CPU_PERCENT_THRESHOLD
                        only report profiles with at least this percent of CPU time (default: 1%)
  --cpu-sampling-rate CPU_SAMPLING_RATE
                        CPU sampling rate (default: every 0.01s)
  --allocation-sampling-window ALLOCATION_SAMPLING_WINDOW
                        Allocation sampling window size, in bytes (default: 1549351 bytes)
  --malloc-threshold MALLOC_THRESHOLD
                        only report profiles with at least this many allocations (default: 100)
  --program-path PROGRAM_PATH
                        The directory containing the code to profile (default: the path to the profiled program)
  --memory-leak-detector
                        EXPERIMENTAL: report likely memory leaks (default: False)
  --on                  start with profiling on (default)
  --off                 start with profiling off

When running Scalene in the background, you can suspend/resume profiling
for the process ID that Scalene reports. For example:

   % python3 -m scalene  yourprogram.py &
 Scalene now profiling process 12345
   to suspend profiling: python3 -m scalene.profile --off --pid 12345
   to resume profiling:  python3 -m scalene.profile --on  --pid 12345

