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

Bug fixes for memory attribution and multiprocessing

What's Changed

Improved functionality and accuracy:

• Fixed Python memory attribution for large requests.
• Fixed an issue with the multiprocessing library.

UI improvements:

• Fixed reporting of the Python fraction of memory allocated.

Compatibility:

• Removed nvidia-ml-py dependency, which was causing a reported issue with Dask (#378).

Full Changelog: v1.5.5...v1.5.6

Bug fixes, improved CPU and memory accounting

What's Changed

Improved functionality and accuracy:

• Fixed occasional segfaults caused by unaligned memory allocations.
• Corrected an issue with attribution of CPU time with threads.
• Leak detection enabled by default.

UI improvements:

• Hovering over memory timelines now shows amount of memory consumed, and when.
• Memory timelines are compressed, reducing the size of profiles and reducing the memory consumption of the UI.
• Suspected leaks are now highlighted.

Compatibility:

• Moved to Python 3.8.

Full Changelog: v1.5.4...v1.5.5

Improved UI, especially for GPU usage; accuracy and compatibility improvements

What's Changed

Improved functionality and accuracy:

• Fixed memcpy attribution (now on specific lines, just like allocations).
• GPU profiling now enabled on Apple systems

UI improvements:

• Memory timelines are now zoomable.
• Fatter bars, zoomable timelines, fixed sorting for code line separators
• Added explanations when hovering over column headers.
• Omit function summaries if no functions.
• Added GPU memory profiling.
• Report peak instead of average GPU memory.
• GPU utilization now pies.

Compatibility:

• Fixed Windows support
• Added support for profiling programs that use signals

Full Changelog: v1.5.3...v1.5.4

Maintenance release: fixes virtualized GPU issue, Windows loading, output issue

What's Changed

• Adds exception handling to workaround a virtualized GPU issue (#323).
• Added average memory consumption calculation to function summaries.
• Fixes a missing argument issue in output (#344)
• Fixes an issue with Jupyter notebooks when they don't have access to a web browser.

Full Changelog: v1.5.2...v1.5.3