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micropython/tests/internal_bench/var-2-global.py

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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.
2014-05-04 23:24:16 +01:00
import bench
ITERS = 20000000
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.
2020-03-23 02:26:08 +00:00
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.
2014-05-04 23:24:16 +01:00
def test(num):
i = 0
while i < ITERS:
i += 1
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.
2020-03-23 02:26:08 +00:00
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.
2014-05-04 23:24:16 +01:00
bench.run(test)