This allows adding a new 'sample' submodule and enables invoking thesampling profiler through 'python -m profile.sample', while retainingbackwards compatibility when using 'profile'.

Implement a statistical sampling profiler that can profile externalPython processes by PID. Uses the _remote_debugging module and convertsthe results to pstats-compatible format for analysis.

This variant overrides how column headers are printed to avoidconflating call counts with sample counts.The SampledStats results are stored in the exact same format as Stats,but since the results don't represent call counts but sample counts, thecolumn headers are different to account for this.This ensure that using the pstats browser instantiates the right objectto handle the correct columns, add a factory function which caninstantiate the correct class. As the Stats class can only handle eithera filename or an object which provides the 'stats' attribute in apre-parsed format, this provides a StatsLoaderShim to avoid marshallingthe data twice (once to check the marker and once in the Stats module ifwe were to pass the file name).

Implements collapsed stack trace format output for the samplingprofiler. This format represents complete call stacks as semicolon-delimited strings with sample counts, making it compatible withexternal flamegraph generation tools like flamegraph.pl.The format uses filename:function:line notation and stores call treesduring sampling for efficient post-processing into the collapsed format.