Ben1980

#include <iostream>

void printTypeSize() {
  std::cout << "Size of char = " << sizeof(char) << " byte" << std:: endl;
  std::cout << "Size of short = " << sizeof(short) << " byte" << std:: endl;
  std::cout << "Size of int = " << sizeof(int) << " byte" << std:: endl;
  std::cout << "Size of long = " << sizeof(long) << " byte" << std:: endl;
}

struct S1 {

Ben1980

name: Documentation

on: #(1)
  push:
    branches:
      - master
  pull_request:
    branches:
      - master
  page_build:

Ben1980

from lxml import etree
import io
import sys

TAGfile = open(sys.argv[1]+"/Testing/TAG", 'r') #(1)
dirname = TAGfile.readline().strip()

xslfile = open(sys.argv[2], 'r')
xslcontent = xslfile.read()

Ben1980

FROM debian:stable-slim #(1)

LABEL maintainer="ben.mahr@gmail.com" \
      description="Image which consists of C++ related build tools." \
      version="1.0"

RUN apt-get update -y && \
    apt-get install -y --no-install-recommends \ #(2)
	  git \
	  openssh-server \

Ben1980

version: 2.1
executors: #(1)
  exectr:
    docker:
      - image: dockerben/cpptemplate:latest #(2)

jobs:
  build:
    executor: exectr #(1)
    steps:

Ben1980

namespace CholeskyDecomposition {
    template<typename T>
    Matrix<T> SimplifySymmetricMatrix(Matrix<T> matrix) {
        const size_t nbRows = matrix.rows();
        const size_t nbColumns = matrix.columns();

        for(size_t row = 0; row < nbRows; ++row) {
            for(size_t column = row + 1; column < nbColumns; ++column) {
                matrix(row, column) = 0;
            }

Ben1980

namespace PivotLUDecomposition {
    template<typename T>
    struct Decomposition {
        Matrix<T> P;
        Matrix<T> L;
        Matrix<T> U;

        Decomposition(const Matrix<T> &matrix) : P(matrix.rows(), matrix.columns()), L(matrix.rows(), matrix.columns()), U(matrix) {}
    };

Ben1980

template<typename T>
Decomposition<T> Decompose(const Matrix<T> &matrix) {
    const size_t nbRows = matrix.rows();
    const size_t nbColumns = matrix.columns();
    if(nbRows != nbColumns) {
        throw std::domain_error("Matrix is not square.");
    }

    Decomposition<T> decomposition(matrix);

Ben1980

template<typename T>
class Matrix {
    static_assert(std::is_arithmetic<T>::value, "T must be numeric");

public:
    ~Matrix() = default;
    Matrix(size_t rows, size_t columns, T *m) 
        : nbRows(rows), nbColumns(columns), matrix(std::make_unique<T[]>(rows*columns)) 
    {
        const size_t size = nbRows*nbColumns;

Ben1980

#include <vector>
#include <array>
#include <random>
#include <memory>
#include <algorithm>

const size_t COLUMNS = 500; 
const size_t ROWS = 500;

static void TwoDimVector(benchmark::State& state) {