trim trailing whitespace

pull/2487/head
Adeeb Shihadeh 2020-11-05 14:11:41 -08:00
parent e511d62d0f
commit 818bd8a591
9 changed files with 12 additions and 12 deletions

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@ -97,7 +97,7 @@ jobs:
docker login -u wmelching -p ${{ secrets.COMMA_DOCKERHUB_TOKEN}}
docker tag tmppilotwebcam docker.io/commaai/openpilotwebcamci:latest
docker push docker.io/commaai/openpilotwebcamci:latest
docker_push:
name: docker push
runs-on: ubuntu-20.04

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@ -28,7 +28,7 @@ Code is automatically checked for style by Github Actions as part of the automat
We've released a [Model Port guide](https://medium.com/@comma_ai/openpilot-port-guide-for-toyota-models-e5467f4b5fe6) for porting to Toyota/Lexus models.
If you port openpilot to a substantially new car brand, see this more generic [Brand Port guide](https://medium.com/@comma_ai/how-to-write-a-car-port-for-openpilot-7ce0785eda84). You might also be eligible for a bounty.
If you port openpilot to a substantially new car brand, see this more generic [Brand Port guide](https://medium.com/@comma_ai/how-to-write-a-car-port-for-openpilot-7ce0785eda84). You might also be eligible for a bounty.
## Pull Requests

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@ -252,7 +252,7 @@ class CarInterface(CarInterfaceBase):
ret.mass = 4070 * CV.LB_TO_KG + STD_CARGO_KG
ret.lateralTuning.pid.kpV, ret.lateralTuning.pid.kiV = [[0.6], [0.1]]
ret.lateralTuning.pid.kf = 0.00006
elif candidate == CAR.PRIUS_TSS2:
stop_and_go = True
ret.safetyParam = 73

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@ -39,7 +39,7 @@ void clu_init(void) {
cl_device_id cl_get_device_id(cl_device_type device_type) {
bool opencl_platform_found = false;
cl_device_id device_id = NULL;
cl_uint num_platforms = 0;
int err = clGetPlatformIDs(0, NULL, &num_platforms);
assert(err == 0);
@ -66,7 +66,7 @@ cl_device_id cl_get_device_id(cl_device_type device_type) {
break;
}
free(platform_ids);
if (!opencl_platform_found) {
printf("No valid openCL platform found\n");
assert(opencl_platform_found);

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@ -196,7 +196,7 @@ class TestMonitoring(unittest.TestCase):
self.assertEqual(events_output[int((_redlight_time+0.5)/DT_DMON)].names[0], EventName.promptDriverDistracted)
# 9. op engaged, model is extremely uncertain. driver first attentive, then distracted
# - should pop a uncertain message first, then slowly into active green/orange, finally back to wheel touch but timer locked by orange
# - should pop a uncertain message first, then slowly into active green/orange, finally back to wheel touch but timer locked by orange
def test_one_indecisive_model(self):
ds_vector = [msg_ATTENTIVE_UNCERTAIN] * int(_UNCERTAIN_SECONDS_TO_GREEN/DT_DMON) + \
[msg_ATTENTIVE] * int(_DISTRACTED_SECONDS_TO_ORANGE/DT_DMON) + \

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@ -4,7 +4,7 @@ if [ $# -gt 0 ]; then
if [ "$INTERNAL" = 1 ]; then
./_nui "$1"
else
./get_files_comma_api.py $1
./get_files_comma_api.py $1
if [ -f ./_nui ]; then
./_nui use_api
elif [ -f _nui.app/Contents/MacOS/_nui ]; then

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@ -11,9 +11,9 @@ First, start the CARLA server.
Then start bridge and openpilot.
```
./start_openpilot_docker.sh
```
```
To engage openpilot press 1 a few times while focused on bridge.py to increase the cruise speed.
To engage openpilot press 1 a few times while focused on bridge.py to increase the cruise speed.
## Controls
You can control openpilot driving in the simulation with the following keys

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@ -17,7 +17,7 @@ from selfdrive.test.helpers import set_params_enabled
parser = argparse.ArgumentParser(description='Bridge between CARLA and openpilot.')
parser.add_argument('--joystick', action='store_true')
parser.add_argument('--town', type=str, default='Town04')
parser.add_argument('--spawn_point', dest='num_selected_spawn_point',
parser.add_argument('--spawn_point', dest='num_selected_spawn_point',
type=int, default=16)
parser.add_argument('--cloudyness', default=0.1, type=float)
parser.add_argument('--precipitation', default=0.0, type=float)
@ -145,7 +145,7 @@ def go(q):
vehicle_bp = blueprint_library.filter('vehicle.tesla.*')[0]
spawn_points = world_map.get_spawn_points()
assert len(spawn_points) > args.num_selected_spawn_point, \
f'''No spawn point {args.num_selected_spawn_point}, try a value between 0 and
f'''No spawn point {args.num_selected_spawn_point}, try a value between 0 and
{len(spawn_points)} for this town.'''
spawn_point = spawn_points[args.num_selected_spawn_point]
vehicle = world.spawn_actor(vehicle_bp, spawn_point)

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@ -16,4 +16,4 @@ if ! $(apt list --installed | grep -q nvidia-container-toolkit); then
fi
docker pull carlasim/carla:0.9.7
docker run -it --net=host --gpus all carlasim/carla:0.9.7
docker run -it --net=host --gpus all carlasim/carla:0.9.7