micropython/tests/internal_bench/loop_count-2-range_iter.py

import bench


def test(num):
    for i in iter(range(num)):
        pass


bench.run(test)
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`

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):`
			`for i in iter(range(num)):`
			`pass`

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)`