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Cutting stock problem optimizer

Project description

https://opcut.herokuapp.com/

opcut is cutting stock problem optimizer (https://en.wikipedia.org/wiki/Cutting_stock_problem) utilizing multiple panels and guillotine cuts (end-to-end cuts). This project includes:

  • multiple back-end optimizer implementations

  • command line front-end

  • REST service API (OpenAPI definition)

  • single-page web application front-end

Runtime requirements

  • python >=3.8

Development requirements

  • nodejs >=7

  • yarn

Install

$ pip install opcut

Run

Running server (default listening address http://0.0.0.0:8080):

$ opcut server

Running command line utility:

$ opcut calculate ...
$ opcut generate_output ...

Additional command line arguments:

$ opcut --help

Build

Build tool used for opcut is pydoit (http://pydoit.org/). It can be installed together with other python dependencies by running:

$ pip install -r requirements.pip.dev.txt

For listing available doit tasks, use:

$ doit list

Default task:

$ doit

creates wheel package inside build directory.

TODO

  • global

    • create CONTRIBUTING

  • optimizer

    • add additional algorithms

    • evaluate python implementations and do native rewrites if needed

  • back-end

    • additional output formats

License

opcut - cutting stock problem optimizer Copyright (C) 2017-2021 Bozo Kopic

This program is free software: you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any later version.

This program is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details.

You should have received a copy of the GNU General Public License along with this program. If not, see <http://www.gnu.org/licenses/>.

Project details


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opcut-0.3.1-cp38.cp39-none-any.whl (622.4 kB view hashes)

Uploaded CPython 3.8 CPython 3.9

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