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micropython
/
tests
/
internal_bench
/
var-1-constant.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 22:24:16 +00:00
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 22:24:16 +00:00
def
test
(
num
)
:
i
=
0
while
i
<
20000000
:
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 22:24:16 +00:00
bench
.
run
(
test
)