UI and CLI enhancements, improved multiprocessing/module support, and Windows bugfixes

What's Changed

• Now generates HTML instead of using a web server by @emeryberger in #477
• Clearer command-line parameters (--cpu, --gpu, and --memory) by @emeryberger in #477
• Improved multiprocessing and module support by @RuRo in #484
• Fixes several issues running Scalene on Windows by @emeryberger

New Contributors

• @RuRo made their first contribution in #484

Full Changelog: v1.5.14...v1.5.15

Maintenance release: various bug fixes

Changes in this release:

Bug fixes:

• Disabled GPU profiling for very old NVIDIA platforms that don't support profiling utilization and/or memory consumption; this used to lead to failures
• More graceful handling of non source files (which could lead to failures)
• Uses correct path regardless of changes to the working directory

UI:

• forced profiles in Jupyter cells to consume 100% of the available width
• minor usability fix for Jupyter, fixing an issue with %scrun

Full Changelog: v1.5.13...v1.5.14

Disable GPU profiling for Apple, since it is unreliable

Changes in this release:

• Disabled Apple GPU profiling for now since it is unreliable (the Apple GPU does not record activity on a per-process basis).

Full Changelog: v1.5.12...v1.5.13

Improved memory reporting

Changes in this release:

• Corrected some memory attribution errors (primarily relating to calculating average memory per line/function, as well as a race condition).

Full Changelog: v1.5.11...v1.5.12

Maintenance release

Changes in this release:

• Fixed pre-built MacOS Universal distributions not including M1 support;
• Fixed Scalene's assumption it would remain in the same directory, which caused problems when the profiled program did a chdir.

Full Changelog: v1.5.10...v1.5.11

Maintenance release: fixes, warnings, and changes for Conda

Changes in this release:

• Fixed a reference counting issue that could lead to failure (73c848b).
• Increased an internal buffer size to ensure safe handling when Scalene is accessing very long directory / pathnames.
• Added support for profiling applications that themselves use LD_PRELOAD (fixing #418).
• Improved warning message for the current lack of support for multiprocessing on Windows (addressing #416).
• Other changes to enable building on Conda (conda-forge/staged-recipes#18747).

Full Changelog: v1.5.9.1...v1.5.10

Increased profiling accuracy, Python 3.11 support

Changes in this release:

• increased accuracy of time attribution to specific lines for CPU & GPU profiling (also reduces memory consumption)
• increased accuracy of memory attribution to specific liens
• added per-process GPU accounting for NVIDIA, which can dramatically increase accuracy when profiling on shared GPUs
• added support for Python 3.11
• documented the command-line option to force Scalene to ignore options after that point (---)

Full Changelog: v1.5.8...v1.5.9.1

Increased profiling accuracy, Python 3.11 support

Changes in this release:

• increased accuracy of time attribution to specific lines for CPU & GPU profiling (also reduces memory consumption)
• increased accuracy of memory attribution to specific liens
• added per-process GPU accounting for NVIDIA, which can dramatically increase accuracy when profiling on shared GPUs
• added support for Python 3.11
• documented the command-line option to force Scalene to ignore options after that point (---)

Full Changelog: v1.5.8...v1.5.9

Fixed GUI display issues

Changes in this release:

• fixed missing GUI files from Linux wheels;
• fixed some issues launching browser to display GUI results;

Minor UI update: memory activity now shown as pies instead of numbers

What's Changed

UI improvements:

• Memory activity now shown as pies instead of numbers

Compatibility:

• Working towards conda builds.

Full Changelog: v1.5.6...v1.5.7