carla | Open-source simulator for autonomous driving research | Robotics library

# Render object to keep and pass the PyGame surface
class RenderObject(object):
    def __init__(self, width, height):
        init_image = np.random.randint(0,255,(height,width,3),dtype='uint8')
        self.surface = pygame.surfarray.make_surface(i  

#pragma once

#include "Carla/Sensor/Sensor.h"

#include "Carla/Actor/ActorDefinition.h"
#include "Carla/Actor/ActorDescription.h"

#include "Components/BoxComponent.h"

#include "SafeDistanceSensor.generated.h"

UCLASS()
class CARLA_API ASafeDistanc  

def get_image_point(bone_trans):
        # Calculate 2D projection of bone coordinate
        
        # get the world location of the bone root
        loc = bone_trans.world.location
        bone = np.array([loc.x, loc.y, loc.z, 1])
        # tran  

import sys
import glob
import os

#The added path depends on where the carla binaries are stored
try:
    sys.path.append(glob.glob('../../carla/dist/carla-*%d.%d-%s.egg' % (
        sys.version_info.major,
        sys.version_info.minor,

rows = df["Description"]

large_list = []

for row in rows:
    large_list += row.split()

import collections
counts = collections.Counter(large_list)
print(counts)

# BUILD
load("@pybind11_bazel//:build_defs.bzl", "pybind_extension")

pybind_extension(
  name = "new_math",
  srcs = ["ex.cpp"],
)
    
py_test(
  python_version = "PY3",
  name = "math_test",
  size = "small",
  srcs = ["math_test.py"],

df = data.set_index(['Gender','code_num', 'Date', 'Location', 'Age', 'Group'])
df.columns = df.columns.str.split('_', expand=True)
df = df.stack(1)
df.columns = df.columns.map(lambda x: f'{x[0]}_{x[1]}')
cols = ['Dog_UID', 'Dog_name', 'Dog

def by_total_grade(name):
    return sum(grades[name])

best_student = max(grades, key=by_total_grade)

grades = {
    "Alex": [3, 7, 11, 10, 8],
    "Ben": [6, 12, 4, 9, 9],
    "Сarla": [5, 10, 7, 5, 9],
}

best_s

df.groupby('id').apply(lambda x: x.ffill()).drop_duplicates('id', keep='last')

   id      a      b      c      d      e
3  23  Pedro  Vindy  Carla  Tulia  Wimpo
5  49   None  Vindy  Carla   None  Wimpo