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test_models: add tx fuzzy test #32897
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* stash * staaaaash * clean up * more clean up * fix fix * fix * stash clean up * more * this is just simpler to understand * explicitly check
…ctionary (commaai#32592) Optimize gear shifter parsing for improved performance
Fingerprint for 2017 Forester
* Loading torque data only once and reusing it across function calls. * apply review * still check only one entry * fix that --------- Co-authored-by: Shane Smiskol <[email protected]>
use non-2020 specs
* improve performance * remove DEPRECATED * formatting * catch kjException --------- Co-authored-by: Shane Smiskol <[email protected]>
* improve prev event counters * just rename --------- Co-authored-by: Shane Smiskol <[email protected]>
increase lag in optima to 0.2
remove redundant
* squash * fix doc * compile device * compile device * Update ref * add msgq to precommit exclusions * No service ports * fix compile * address comments * More comments * Delete logger * Update opendbc * Linting * bump msgq
* Dead cereal stuff * Dead code * also dead * More cleanup
* rm generate_javascript.sh * Unused
* blacklist more files from release * dbcs * fix * just use the lfs * rm that too * cleanup * cleanup
* card: remove old canRcvtimeout field * deprecate
* bump * bump2 * bump3
* remove wrapper that is functools.cache * format
* is this even used? * remove
* pandad: fix loopback test * clear all params * try this --------- Co-authored-by: Comma Device <[email protected]>
…Non-US only) 2020-23" entry (commaai#32658) The term "Non-US" in cars.md for the "Corolla Hybrid (Non-US only) 2020-23" is not precise enough and should be changed to South America Users may think "Non-US" includes Europe or Canada, which is not the case for this entry. It has two issues: * The 2023 Corolla Hybrid in Europe and Canada include a new Toyota Safety Sense 3.0 that has yet to be supported due to it being a new version and the presence of Toyota Security Key. * The 2020-2022 Corolla Hybrid in Europe is the same as the 2020-2022 Corolla Hybrid in North America, which is supported by Openpilot and has full-speed ACC due to the presence of an electronic parking brake which is not present in the 2020-2022 Corolla Hybrid in South America and the reason why it is listed as not having full-speed ACC. The entry should be reverted to at least "Corolla Hybrid (South America) 2020-23" which was proposed but not merged in the pull request: commaai@28454c0 Pull request for that change that does not include that commit: commaai#26943 Examples of confusion throughout the community: comma.ai Discord: https://discord.com/channels/469524606043160576/524327905937850394/1235264758580772996 https://discord.com/channels/469524606043160576/524327905937850394/1228090600272691370 https://discord.com/channels/469524606043160576/954493346250887168/1209952008329633813 https://discord.com/channels/469524606043160576/524327905937850394/1182093384647721140 https://discord.com/channels/469524606043160576/954493346250887168/1147751657543848017 openpilot community Discord: https://discord.com/channels/771493367246094347/771495215570747403/1247737844727021629 > I think that the supported cars list (https://github.com/commaai/openpilot/blob/master/docs/CARS.md) is incorrect. > > I have a UK 2020 Toyota Corolla Hybrid > > In the cars list it's listed as "no accel below" 17 mph and no resume from > stop. > > This is not my experience. For me it works just fine down to a complete stop and it can resume from a stop too. > > CC: @AlexandreSato
* Replace markdown-it-py with small function in common/ * simple test * unused * lock * linting fixes
* add livepose * Formatting * Add to sevices * Update locationd to publish livePose * Remove fields and increase decimation * Fix field indices * Remove the line * Add livePose to pubmaster * Fix llk decimation * Update ref commit * XYZ measurements instead of lists * Update locationd * Update ref commit * Lower the qlog size in test_onroad * Update lower and upper boundary --------- Co-authored-by: Kacper Rączy <[email protected]>
reduce cameraOdometry decimation
change longitudinalPlan decimation
Might merge tx fuzzy with carstate fuzzy. Occasionally catches commaai/panda#1948. Not entirely sure why hypothesis doesn't consistenly repro that failed data generation |
* decimate option * clean up * check exists
* tici: reset panda boot0 * ooops
* Fix msgq context overrides * Remove unneccesary changes * add reset_context helper * Remove redundant import
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@sshane ready for review |
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I don't think we merged all your bugfixes yet, so how is this passing? Are we not getting good coverage on a single run?
If so, what would it take to hit all the known bugs on a single run? How long would that take in CI?
selfdrive/car/tests/test_models.py
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@@ -323,10 +329,13 @@ def test_car_controller(car_control): | |||
@settings(max_examples=MAX_EXAMPLES, deadline=None, | |||
phases=(Phase.reuse, Phase.generate, Phase.shrink)) | |||
@given(data=st.data()) | |||
def test_panda_safety_carstate_fuzzy(self, data): | |||
def test_panda_safety_carstate_tx_fuzzy(self, data): |
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let's split the new TX stuff into a separate test case
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oh is this merged for speed?
I don't think we merged all your bugfixes yet, so how is this passing? Are we not getting good coverage on a single run? Nissan max steering angle Tesla The Nissan speed issue is addressed here: # Nissan calculate vEgoRaw with avg speed of 4 wheels
# while panda get vehicle_speed from rear wheels only,
# so there might be a big enough difference between the two
if self.CP.carName == "nissan":
panda_vehicle_speed_last = self.safety.get_vehicle_speed_last() / VEHICLE_SPEED_FACTOR
if abs(self.CI.CS.out.vEgoRaw - panda_vehicle_speed_last) > 0.2:
cs_msg = self.CI.CS.out.to_dict()
cs_msg["vEgoRaw"] = panda_vehicle_speed_last
self.CI.CS.out = car.CarState.new_message(**cs_msg).as_reader() This realistically shouldn't happen front wheels and rear wheel speed should be close |
Can you rebase? |
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This PR was closed because of a git history rewrite. |
resolve #32425
Uses
FuzzyGenerator
to generate fuzzyCarControl
messageshypothesis example generation is extremly slow.
Nissan speed: 4 wheels in OP and 2 rear wheels in panda
Nissan steering angle out of -1311 - 1310 -> CANPacker wrong value
Tesla has clip to current steering angle