def process_input(config_filename):
# load the config file
with open('./params/batcher_config/' + config_filename) as data:
conf = fancyyaml.load(data)
tracks = [(track_segmentation.dxf_to_segments(x.dxf, x.segment_distance), x.steady_state, x.dxf) for x in conf.tracks]
model = sims.Simulation(conf.model)
out = (conf.filename, conf.data_percentage)
return (conf.tests, conf.vehicle, tracks, model, out)
def process_input(config_filename):
# load the config file
with open('./params/batcher_config/' + config_filename) as data:
conf = fancyyaml.load(data, True)
tracks = [process_track(x, "./params/tracks/") for x in conf.tracks]
model = sims.Simulation(conf.model)
out = (conf.filename, conf.data_percentage)
return (conf.tests, conf.vehicle, tracks, model, out)
def process_web_input(conf):
vehicle_stream = io.StringIO(conf.vehicle)
conf.vehicle = vehicle.Vehicle(fancyyaml.load(vehicle_stream, False))
vehicle_stream.close()
for x in conf.tracks:
x.name = x.file
x.file = x.path
tracks = [process_track(x) for x in conf.tracks]
model = sims.Simulation(conf.model)
out = (conf.filename, conf.data_percentage)
return (conf.tests, conf.vehicle, tracks, model, out)
# times[-1].append(output[-1,sims.O_TIME])
# print(st)
# print("Total Times", times)
# plottools.plt.show();
# import sims
# import input_processing.vehicle as ipvehicle
# import input_processing.fancyyaml as yaml
# import input_processing.track_segmentation as trackseg
# import plottools
sn = 'ss_four_tires'
wb = 0.5
for cgh in [0.2, 0.8, 1.4]:
sim = sims.Simulation(sn)
vehicle = ipvehicle.Vehicle(
yaml.load(open('params/vehicles/VEHICLE_START_HERE.yaml', 'r'), True))
vehicle.weight_bias = wb
vehicle.cg_height = cgh
vehicle.prep()
segments = trackseg.file_to_segments(
'params/tracks/mi_2018_autox.DXF', 0.4,
sectors_only=True) #AutoX_3_31_2018_ant.LOG
# exit()
# print(vehicle.f_long_remain_pair([200,250], 500))
# exit()
output = sim.steady_solve(vehicle, segments, dl=0.4)
# print(output)
mpld3_id = get_id(element)
ids.append(mpld3_id)
if isinstance(element, matplotlib.lines.Line2D):
mpld3_id = get_id(element, 'pts')
ids.append(mpld3_id)
else:
ids.append(get_id(entry))
if isinstance(entry, matplotlib.lines.Line2D):
mpld3_id = get_id(entry, 'pts')
ids.append(mpld3_id)
mpld3_element_ids.append(ids)
return mpld3_element_ids
sim = sims.Simulation("point_mass")
vehicle = vehicle.Vehicle(
yaml.load(open('params/vehicles/rgp007.yaml', 'r'), True))
vehicle.prep()
segments = trackseg.file_to_segments('params/DXFs/ne_2017_endurance.svg', 2.0)
xys = np.array([[s.x, s.y] for s in segments])
output = sim.solve(vehicle, segments[:len(segments) / 1])
fig, ax = plt.subplots(figsize=(16, 9))
line_collections = []
x = xys[:, 0]
y = xys[:, 1]
# df = pd.DataFrame(index=range(len(x)))
# for i in range(sims.O_MATRIX_COLS):
z = output[:, sims.O_VELOCITY]