mjm522

from multiprocessing import Pool
import numpy as np
import time


def gen_data(s, e, N):
    q = np.linspace(s, e, N)
    dq = np.linspace(s, e, N)*2
    ddq = np.linspace(s, e, N)*3
    time.sleep(0.5)

mjm522

import ctypes
import mmap
import os
import stat
import numpy as np
from functools import reduce
from operator import mul
from typing import Any

rtld = ctypes.cdll.LoadLibrary("librt.so")

mjm522

T* constructOrFindInstance(const std::string& instance_name)
    {
        auto result = mSegment.find<T>(instance_name.c_str());
        if (result.first != nullptr) {
            return result.first;
        } else {
            return mSegment.construct<T>(instance_name.c_str())();
        }
    }

mjm522

import numpy as np

def two_d_array_compare(array_a, array_b, thresh):
    """
    this function does a pairwise comparision matching between array_b and array_a
    it returns all the row numbers in array_a that has a similar entry in array_b
    :param array_a: m x k
    :param array_b: n x k
    :thresh float difference
    :return: row numbers of similar rows

mjm522

#!/usr/bin/bash

input="full path to file"
while IFS= read -r line; do
  	arrIN=(${line// / }) ## to split with ; arrIN=(${line//;/ }) 
  	## do something with the words, words can be obtained by ${arrIN[i]} where i is the index
done < "${input}"

mjm522

from mpl_toolkits.mplot3d import Axes3D
import matplotlib.pyplot as plt

def plot_cuboid(sample_cuboid):  
  fig = plt.figure(figsize=(12,9))
  ax = fig.add_subplot(111, projection='3d')

  for pair in sampling_cuboid['plot_pairs']:
      start_point = sampling_cuboid['centre_point'] + sampling_cuboid[pair[0]]
      end_point =  sampling_cuboid['centre_point'] + sampling_cuboid[pair[1]]

mjm522

import numpy as np
import matplotlib.pyplot as plt

x_min = 0.51
x_max = 0.54
num_bins = 20
num_data=7000
x_mean = 0.53
plt.style.use("ggplot")

mjm522

import trimesh
from numpy.linalg import inv
import numpy as np

def pretty_print(array):
    print(np.round(array, 2))

def change_centroid(mesh_path, save_path, additional_T=None):
 mesh = trimesh.load_mesh(mesh_path)

mjm522

Step 1

Install Qt5 dependencies

sudo apt-get install qt5-default qttools-dev qttools5-dev-tools libqt5svg5-dev qtmultimedia5-dev

Step 2

sudo apt-get install ros-foxy-test-msgs

mjm522

function compress_pdf()
{
    input_file=$1
    output_file=$1_compressed.pdf
    level=/$2
    #levels: screen > ebook > printer > prepress, 
    gs -dNOPAUSE -dBATCH -sDEVICE=pdfwrite -dCompatibilityLevel=1.4 -dPDFSETTINGS=$level -sOutputFile=$output_file $input_file
    echo "Saved in the same folder with name $output_file"
}