Bugfix release

• fixed AttributeError bug running with --cpu-only;

Bug fixes and new wheels

• fixed synchronization and multiprocessing support for --profile-interval;
• fixed certain profiling data possibly being included when profiling was turned off;
• wheels (binary builds) now available from pypi for Linux (x86_64) and MacOS (x86_64 and M1);

Bugfix for Mac

Fixes a bug exposed on Mac OS X when using packages that include SQLite.

GPU profiling, suspend and resume profiling, improved Jupyter support

This release includes the following major new features:

• GPU profiling. If your system has an nvidia GPU, the profiler will automatically do line-level GPU utilization profiling (just like it already does for CPU).
• Suspend/resume. When Scalene is profiling a program launched in the background (via &), you can now suspend and resume profiling. To suspend profiling of pid 12345 (Scalene will print the pid when launched in the background): python3 -m scalene.profile --off --pid 12345. To resume profiling: python3 -m scalene.profile --on --pid 12345.
• Improved Jupyter support. Scalene now indicates in its profiles which Jupyter cell a function was defined in, as in [5].
• Various bug fixes that improve Scalene's robustness, especially when profiling code using multithreaded libraries like numpy.

Major update, support and features

• Jupyter support (currently CPU profiling only); use %scrun or %%scalene
• Function summaries: sorted list of functions by CPU time
• Memory consumption: reports top K lines allocating the most memory
• Reports memory growth over time (indicating possible leaks)
• Line-level memory leak detection "for free"
• Full multiprocessing support
• Adds --profile-only flag to restrict profiling to files that contain the given string
• Massive refactoring and cleanup of codebase