Install Dev C++ Linux Terminal

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Introduction

This guide explains how to install OR-Tools from source, with support for C++, on Linux. Unless you plan to modify the source code or use a third-party solver with OR-Tools, we recommend the binary installation.

Although these instructions might also work on other Linux variants, we have only tested them on machines meeting the following requirements:

  • Orwell Dev-C is not available for Linux but there are plenty of alternatives that runs on Linux with similar functionality. The most popular Linux alternative is Visual Studio Code, which is both free and Open Source.If that doesn't suit you, our users have ranked 38 alternatives to Orwell Dev-C and 19 are available for Linux so hopefully you can find a suitable replacement.
  • First, check to see whether GCC is already installed. To verify whether it is, open a Terminal window and enter the following command: gcc -v. If GCC isn't installed, run the following command from the terminal window to update the Ubuntu package lists. An out-of-date Linux distribution can sometimes interfere with attempts to install new packages.
  • Ubuntu 19.10/18.04/16.04 64-bit (x86_64)
  • Debian 10.2 (buster) 64-bit (x86_64)
  • Centos 8 64-bit (x86_64)

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Note: OR-Tools only supports the x86-64 (also known as amd64) architecture.

Prerequisites

The following sections describe the prerequisites for installing OR-Tools from source.

C++ tools

To install C++ tools, open a terminal window and enter:

Centos 8

Debian 10

Ubuntu 19.10

Ubuntu 18.04

Ubuntu 16.04

Download the source code

There are two distinct branches of the OR-Tools source code onGitHub: stable and master.The stable branch has been thoroughly tested and should work flawlessly on allsupported platforms. The master branch is where the latest updates and improvementshave been applied; it's more current, but less stable.

Download the stable source code

You can get the stable source code for OR-Tools in either of the following ways:

Install Dev C++ Linux Terminal 4

  • Clone the stable branch by entering
  • Download the latest release in a compressed file, byclicking the Clone or download buttonin GitHub.
Warning: The full path to the installation directory (where you extract the files) must not contain any spaces.

Download the master source code

To retrieve the source code from the master branch, enter

Download previous releases

You can get the source code for previous releases in either of the following ways:

  • Download a previous release from the GitHub release page.
  • Assuming you have already created a local repository (by git clone), you can check out a specific release using a Git tag. For example, to work with the v7.5 release instead of the master branch, enter the following commands in your local repo:

Build the source code

To build the source code:

  1. Open a terminal and navigate to the directory where you extracted the files. Then enter the following command:
  2. To use a third party solver, open Makefile.local in the main or-tools directory, and add the path to the directory where you installed the solver. For example, for SCIP you would add this:
  3. Compile OR-Tools by entering
  4. You can check that everything is running correctly by entering
  5. This runs a selection of examples for OR-Tools. If all the examples run successfully, you are ready to get started with OR-Tools.

Using a third-party solver

You can use OR-Tools with any of the following third-party solvers:

If you have already installed OR-Tools and want to configure it to use one of these solvers,do the following steps:

  1. Open a terminal and navigate to the or-tools directory. Then enter the following command:
  2. Open Makefile.local and add the path to the directory where you installed the solver. For example, for SCIP you would add this:
  3. Compile OR-Tools by entering

Install the SCIP Optimization Suite

To install the SCIP Optimization Suite on Linux,do the following steps:

  1. Download the SCIP archive and unpack it.
  2. Navigate to the top level of the unpacked archive and enter the following commands:

After the installation is complete, follow the instructions inUsing a third-party solver.

Cleaning the build files

If you need to re-install OR-Tools, the command:

will remove all compiled dependencies and Makefile.local. This can be useful for resetting to a clean state.

Then re-enter the commands

Installing OR-Tools on your operating system

You can install OR-Tools for C++ on your operating system by entering

Introduction

Install Dev C++ Linux Terminal 2

This guide explains how to install OR-Tools for Python on Linux.

Although these instructions might also work on other Linux variants, we have only tested them on machines meeting the following requirements:

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  • Ubuntu 19.10/18.04/16.04 64-bit (x86_64)
  • Debian 10.2 (buster) 64-bit (x86_64)
  • Centos 8 64-bit (x86_64)
Note: OR-Tools only supports the x86_64 (also known as amd64) architecture.

Python

You must have Python 3.5+ installed.

Install Dev C++ Ubuntu

To install Python 3.5+, open a terminal window and enter:

Centos 8

Debian 10

Ubuntu 19.10

Ubuntu 18.04

Ubuntu 16.04

Install dev c++ software

You can check your Python 3 installation using:

Installing OR-Tools

Install Dev C++ Software

Assuming the prerequisite software is installed on your Linux, take the following steps:

Or, to install it system wide:

Uninstalling OR-Tools

To uninstall OR-Tools, issue the following commands:

Validate your installation

To test your Python installations, open a terminal window. Then enter the following command:

If it runs successfully, you are ready to get started with OR-Tools.