task-maker

The new cmsMake!

Installation

You have to have some dependencies installed in order to use task-maker. This is a python3 project, you need to have Python>=3.5 as default python environment (running python --version), the easiest way to achieve this is via virtualenv.

Usage

Simple local usage

After installing task-maker, run task-maker in the task folder to compile and run everything. Specifying no option all the caches are active, the next executions will be very fast, actually doing only what's needed.

Disable cache

If you really want to repeat the execution of something provide the --cache option:

task-maker --cache=nothing

Possible values of --cache are: all, reevaluate (do not regenerate inputs/outputs if not needed), nothing (disable all the cache).

Test only a subset of solutions

Sometimes you only want to test only some solutions, speeding up the compilation and cleaning a bit the output:

task-maker sol1.cpp sol2.py

Note that you may or may not specify the folder of the solution (sol/ or solution/). You can also specify only the prefix of the name of the solutions you want to check.

Using different task directory

By default the task in the current directory is executed, if you want to change the task without cd-ing away:

task-maker --task-dir ~/tasks/poldo

Extracting executable files

All the compiled files are kept in an internal folder but if you want to use them, for example to debug a solution, passing --copy-exe all the useful files are copied to the bin/ folder inside the task directory.

task-maker --copy-exe

Clean the task directory

If you want to clean everything, for example after the contest, simply run:

task-maker --clean

Using a remote executor

One of the best feature of task-maker is the ability to execute a task remotely. The setup is really simple, you need to start some programs: a server and a group of workers. The server will accept connection from workers and clients, a worker is the program that executes a command, a client is you!

First start a server:

task-maker --run-server

Then start a worker in each machine, specifying the server to connect to:

task-maker --run-worker --worker-args="--server server_ip:7070"

To run the execution remotely just pass:

task-maker --server server_ip:7070

Note that the TCP port 7070 is used, the connection has to be available, stable and reliable. A local network is suggested but it should work also via the Internet.

Something went wrong

If something went wrong and you want to kill task-maker you have also to kill the background processes that may have been spawned. You may find the pid of those processes looking at /tmp/task-maker-*-*.pid

Compilation

If you want to compile tak-maker yourself you need the following dependencies:

g++ make cmake

You also need a compiler capable of compiling C++14.

To start the compilation simply run:

mkdir -p build
cd build
cmake ..
make

This will pull all the dependencies and compile everything. If you want to speedup the compilation you may want to add -j X (with X the number of cores) to make.

If you want to enable the optimization remember to put -DCMAKE_BUILD_TYPE=Release to the cmake command.

Note that the build system uses Hunter for managing the dependencies, in some cases you may find a new directory in your home called .hunter, to prevent this you can add -DHUNTER_ROOT=/some/path to the cmake command.

Arch Linux

If you are using Arch Linux you may want to install task-maker from the AUR: task-maker or task-maker-git.

Manual build

We support build without Hunter (ie using system packages) only on Arch Linux, there are some dependencies to be installed:

• core/elfutils
• community/gmock
• community/gtest
• community/capnproto
• aur/pybind11

To compile the project issue:

mkdir -p build
cd build
cmake .. -DHUNTER_ENABLED=OFF
make