The MicroPython project
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Jim Mussared 9d6f474ea4 py/objstr: Don't treat bytes as unicode in str.count. 1 week ago
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basics py/objstr: Don't treat bytes as unicode in str.count. 1 week ago
cmdline py/parse: Allow const types other than int to optimise as true/false. 2 weeks ago
cpydiff tests/cpydiff: Fix formatting of code snippet to use double quotes. 2 months ago
esp32 tests: Rename run-tests to run-tests.py for consistency. 2 years ago
extmod extmod/vfs_posix_file: Implement finaliser for files. 2 weeks ago
feature_check py: Implement partial PEP-498 (f-string) support. 1 year ago
float py/formatfloat: Use pow(10, e) instead of pos/neg_pow lookup tables. 2 months ago
frozen tests/frozen: Move frozentest.mpy from ports/ to tests/. 2 weeks ago
import py/objmodule: Add support for __dict__. 2 weeks ago
inlineasm py/compile: Support large integers in inline-asm data directive. 2 months ago
internal_bench tests: Format all Python code with black, except tests in basics subdir. 3 years ago
io py/modio: Remove io.resource_stream function. 10 months ago
jni tests: Rename run-tests to run-tests.py for consistency. 2 years ago
micropython py/persistentcode: Introduce .mpy sub-version. 2 weeks ago
misc all: Update Python formatting to latest Black version 22.1.0. 8 months ago
multi_bluetooth tests/multi_bluetooth/ble_subscribe.py: Add test for subscription. 1 year ago
multi_net extmod/modussl_mbedtls: Implement cert_reqs and cadata arguments. 3 months ago
net_hosted extmod/uasyncio: Get addr and bind server socket before creating task. 1 year ago
net_inet extmod/modussl_mbedtls: Implement cert_reqs and cadata arguments. 3 months ago
perf_bench tests: Fix run-perfbench parsing "no matching params" case. 3 months ago
pyb tests/pyb: Update CAN tests to match revised CAN API. 6 months ago
qemu-arm qemu-arm: Add tests for freezing viper and asm_thumb code. 7 months ago
renesas-ra tests/renesas-ra: Update pin test to support all boards. 1 month ago
stress tests/stress: Adjust bytecode_limit test so it can SKIP if no memory. 4 months ago
thread tests/thread: Use less resources for stress_aes if settrace enabled. 5 months ago
unicode extmod/modure: Convert byte offsets to unicode indices when necessary. 4 weeks ago
unix unix/variants/coverage: Add test for manifest freeze_mpy(). 2 weeks ago
wipy tests: Format all Python code with black, except tests in basics subdir. 3 years ago
README.md tests: Add an explanation of run-perfbench.py. 3 months ago
run-internalbench.py tests,tools: Update path to unix micropython executable. 2 months ago
run-multitests.py tests/run-multitests: Make paths more deterministic. 2 weeks ago
run-natmodtests.py unix/variants: Remove variant suffix from executable filename. 2 months ago
run-perfbench.py tests,tools: Update path to unix micropython executable. 2 months ago
run-tests-exp.py tests: Rename run-tests to run-tests.py for consistency. 2 years ago
run-tests-exp.sh tests: Rename run-tests to run-tests.py for consistency. 2 years ago
run-tests.py tests: Allow 'special' tests to output "SKIP" on a single line. 2 weeks ago

README.md

MicroPython Test Suite

This directory contains tests for various functionality areas of MicroPython. To run all stable tests, run "run-tests.py" script in this directory.

Tests of capabilities not supported on all platforms should be written to check for the capability being present. If it is not, the test should merely output 'SKIP' followed by the line terminator, and call sys.exit() to raise SystemExit, instead of attempting to test the missing capability. The testing framework (run-tests.py in this directory, test_main.c in qemu_arm) recognizes this as a skipped test.

There are a few features for which this mechanism cannot be used to condition a test. The run-tests.py script uses small scripts in the feature_check directory to check whether each such feature is present, and skips the relevant tests if not.

Tests are generally verified by running the test both in MicroPython and in CPython and comparing the outputs. If the output differs the test fails and the outputs are saved in a .out and a .exp file respectively. For tests that cannot be run in CPython, for example because they use the machine module, a .exp file can be provided next to the test's .py file. A convenient way to generate that is to run the test, let it fail (because CPython cannot run it) and then copy the .out file (but not before checking it manually!)

When creating new tests, anything that relies on float support should go in the float/ subdirectory. Anything that relies on import x, where x is not a built-in module, should go in the import/ subdirectory.

perf_bench

The perf_bench directory contains some performance benchmarks that can be used to benchmark different MicroPython firmwares or host ports.

The runner utility is run-perfbench,py. Execute ./run-perfbench.py --help for a full list of command line options.

Benchmarking a target

To run tests on a firmware target using pyboard.py, run the command line like this:

./run-perfbench.py -p -d /dev/ttyACM0 168 100
  • -p indicates running on a remote target via pyboard.py, not the host.
  • -d PORTNAME is the serial port, /dev/ttyACM0 is the default if not provided.
  • 168 is value N, the approximate CPU frequency in MHz (in this case Pyboard V1.1 is 168MHz). It's possible to choose other values as well: lower values like 10 will run much the tests much quicker, higher values like 1000 will run much longer.
  • 100 is value M, the approximate heap size in kilobytes (can get this from import micropython; micropython.mem_info() or estimate it). It's possible to choose other values here too: lower values like 10 will run shorter/smaller tests, and higher values will run bigger tests. The maximum value of M is limited by available heap, and the tests are written so the "recommended" value is approximately the upper limit.

Benchmarking the host

To benchmark the host build (unix/Windows), run like this:

./run-perfbench.py 2000 10000

The output of perfbench is a list of tests and times/scores, like this:

N=2000 M=10000 n_average=8
perf_bench/bm_chaos.py: SKIP
perf_bench/bm_fannkuch.py: 94550.38 2.9145 84.68 2.8499
perf_bench/bm_fft.py: 79920.38 10.0771 129269.74 8.8205
perf_bench/bm_float.py: 43844.62 17.8229 353219.64 17.7693
perf_bench/bm_hexiom.py: 32959.12 15.0243 775.77 14.8893
perf_bench/bm_nqueens.py: 40855.00 10.7297 247776.15 11.3647
perf_bench/bm_pidigits.py: 64547.75 2.5609 7751.36 2.5996
perf_bench/core_import_mpy_multi.py: 15433.38 14.2733 33065.45 14.2368
perf_bench/core_import_mpy_single.py: 263.00 11.3910 3858.35 12.9021
perf_bench/core_qstr.py: 4929.12 1.8434 8117.71 1.7921
perf_bench/core_yield_from.py: 16274.25 6.2584 12334.13 5.8125
perf_bench/misc_aes.py: 57425.25 5.5226 17888.60 5.7482
perf_bench/misc_mandel.py: 40809.25 8.2007 158107.00 9.8864
perf_bench/misc_pystone.py: 39821.75 6.4145 100867.62 6.5043
perf_bench/misc_raytrace.py: 36293.75 6.8501 26906.93 6.8402
perf_bench/viper_call0.py: 15573.00 14.9931 19644.99 13.1550
perf_bench/viper_call1a.py: 16725.75 9.8205 18099.96 9.2752
perf_bench/viper_call1b.py: 20752.62 8.3372 14565.60 9.0663
perf_bench/viper_call1c.py: 20849.88 5.8783 14444.80 6.6295
perf_bench/viper_call2a.py: 16156.25 11.2956 18818.59 11.7959
perf_bench/viper_call2b.py: 22047.38 8.9484 13725.73 9.6800

The numbers across each line are times and scores for the test:

  • Runtime average (microseconds, lower is better)
  • Runtime standard deviation as a percentage
  • Score average (units depend on the benchmark, higher is better)
  • Score standard deviation as a percentage

Comparing performance

Usually you want to know if something is faster or slower than a reference. To do this, copy the output of each run-perfbench.py run to a text file.

This can be done multiple ways, but one way on Linux/macOS is with the tee utility: ./run-perfbench.py -p 168 100 | tee pyb-run1.txt

Once you have two files with output from two different runs (maybe with different code or configuration), compare the runtimes with ./run-perfbench.py -t pybv-run1.txt pybv-run2.txt or compare scores with ./run-perfbench.py -s pybv-run1.txt pybv-run2.txt:

> ./run-perfbench.py -s pyb-run1.txt pyb-run2.txt
diff of scores (higher is better)
N=168 M=100                pyb-run1.txt -> pyb-run2.txt         diff      diff% (error%)
bm_chaos.py                    352.90 ->     352.63 :      -0.27 =  -0.077% (+/-0.00%)
bm_fannkuch.py                  77.52 ->      77.45 :      -0.07 =  -0.090% (+/-0.01%)
bm_fft.py                     2516.80 ->    2519.74 :      +2.94 =  +0.117% (+/-0.00%)
bm_float.py                   5749.27 ->    5749.65 :      +0.38 =  +0.007% (+/-0.00%)
bm_hexiom.py                    42.22 ->      42.30 :      +0.08 =  +0.189% (+/-0.00%)
bm_nqueens.py                 4407.55 ->    4414.44 :      +6.89 =  +0.156% (+/-0.00%)
bm_pidigits.py                 638.09 ->     632.14 :      -5.95 =  -0.932% (+/-0.25%)
core_import_mpy_multi.py       477.74 ->     477.57 :      -0.17 =  -0.036% (+/-0.00%)
core_import_mpy_single.py       58.74 ->      58.72 :      -0.02 =  -0.034% (+/-0.00%)
core_qstr.py                    63.11 ->      63.11 :      +0.00 =  +0.000% (+/-0.01%)
core_yield_from.py             357.57 ->     357.57 :      +0.00 =  +0.000% (+/-0.00%)
misc_aes.py                    397.27 ->     396.47 :      -0.80 =  -0.201% (+/-0.00%)
misc_mandel.py                3375.70 ->    3375.84 :      +0.14 =  +0.004% (+/-0.00%)
misc_pystone.py               2265.36 ->    2265.97 :      +0.61 =  +0.027% (+/-0.01%)
misc_raytrace.py               367.61 ->     368.15 :      +0.54 =  +0.147% (+/-0.01%)
viper_call0.py                 605.92 ->     605.92 :      +0.00 =  +0.000% (+/-0.00%)
viper_call1a.py                576.78 ->     576.78 :      +0.00 =  +0.000% (+/-0.00%)
viper_call1b.py                452.45 ->     452.46 :      +0.01 =  +0.002% (+/-0.01%)
viper_call1c.py                457.39 ->     457.39 :      +0.00 =  +0.000% (+/-0.00%)
viper_call2a.py                561.37 ->     561.37 :      +0.00 =  +0.000% (+/-0.00%)
viper_call2b.py                389.49 ->     389.50 :      +0.01 =  +0.003% (+/-0.01%)

Note in particular the error percentages at the end of each line. If these are high relative to the percentage difference then it indicates high variability in the test runs, and the absolute difference value is unreliable. High error percentages are particularly common on PC builds, where the host OS may influence test run times. Increasing the N value may help average this out by running each test longer.