micropython

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Author	SHA1	Message	Date
David Lechner	3dc324d3f1	tests: Format all Python code with black, except tests in basics subdir. This adds the Python files in the tests/ directory to be formatted with ./tools/codeformat.py. The basics/ subdirectory is excluded for now so we aren't changing too much at once. In a few places `# fmt: off`/`# fmt: on` was used where the code had special formatting for readability or where the test was actually testing the specific formatting.	5 years ago
Damien George	d86fb670e6	tests: Rename "bench" tests to "internal_bench" and run-internalbench.py To emphasise these benchmark tests compare the internal performance of features amongst themselves, rather than absolute performance testing.	5 years ago
Paul Sokolovsky	aaff82afe5	tests: Add framework for comparative benchmarking. Motivation is optimizing handling of various constructs as well as understanding which constructs are more efficient in MicroPython. More info: http://forum.micropython.org/viewtopic.php?f=3&t=77 Results are wildly unexpected. For example, "optimization" of range iteration into while loop makes it twice as slow. Generally, the more bytecodes, the slower the code.	11 years ago

Author

SHA1

Message

Date

David Lechner

3dc324d3f1

tests: Format all Python code with black, except tests in basics subdir.

This adds the Python files in the tests/ directory to be formatted with
./tools/codeformat.py.  The basics/ subdirectory is excluded for now so we
aren't changing too much at once.

In a few places `# fmt: off`/`# fmt: on` was used where the code had
special formatting for readability or where the test was actually testing
the specific formatting.

5 years ago

Damien George

d86fb670e6

tests: Rename "bench" tests to "internal_bench" and run-internalbench.py

To emphasise these benchmark tests compare the internal performance of
features amongst themselves, rather than absolute performance testing.

5 years ago

Paul Sokolovsky

aaff82afe5

tests: Add framework for comparative benchmarking.

Motivation is optimizing handling of various constructs as well as
understanding which constructs are more efficient in MicroPython.
More info: http://forum.micropython.org/viewtopic.php?f=3&t=77

Results are wildly unexpected. For example, "optimization" of range
iteration into while loop makes it twice as slow. Generally, the more
bytecodes, the slower the code.

11 years ago

2 Commits (75012cfd6ec68d229523620f827a658ca3c6afd3)