Provided by: python3-memray_1.17.0+dfsg-1_amd64 

NAME
memray - Memory profiler for Python applications
DESCRIPTION
usage: memray [-h] [-v] [-V]
{run,flamegraph,table,live,tree,parse,summary,stats,transform,attach,detach} ...
Memory profiler for Python applications
Run `memray run` to generate a memory profile report, then use a reporter command such as `memray
flamegraph` or `memray table` to convert the results into HTML.
Example:
$ python3 -m memray run -o output.bin my_script.py
$ python3 -m memray flamegraph output.bin
positional arguments:
{run,flamegraph,table,live,tree,parse,summary,stats,transform,attach,detach}
Mode of operation
run Run the specified application and track memory usage
flamegraph
Generate an HTML flame graph for peak memory usage
table Generate an HTML table with all records in the peak memory usage
live Remotely monitor allocations in a text-based interface
tree Generate a tree view in the terminal for peak memory usage
parse Debug a results file by parsing and printing each record in it
summary
Generate a terminal-based summary report of the functions that allocate most memory
stats Generate high level stats of the memory usage in the terminal
transform
Generate reports files in different formats
attach Begin tracking allocations in an already-started process
detach End the tracking started by a previous ``memray attach`` call
options:
-h, --help
show this help message and exit
-v, --verbose
Increase verbosity. Option is additive and can be specified up to 3 times
-V, --version
Displays the current version of Memray
Please submit feedback, ideas, and bug reports by filing a new issue at
https://github.com/bloomberg/memray/issues
SEE ALSO
The full documentation for memray is maintained as a Texinfo manual. If the info and memray programs are
properly installed at your site, the command
info memray
should give you access to the complete manual.
memray 1.13.0 June 2024 MEMRAY(1)