meta.yaml

{% set name = "adjsim" %}
{% set version = "2.1.0" %}
{% set file_ext = "tar.gz" %}

package:
  name: '{{ name|lower }}'
  version: '{{ version }}'

source:
  fn: '{{ name }}-{{ version }}.{{ file_ext }}'
  url: https://pypi.io/packages/source/{{ name[0] }}/{{ name }}/{{ name }}-{{ version }}.{{ file_ext }}

build:
  number: 0
  script: python setup.py install  --single-version-externally-managed --record=record.txt

requirements:
  build:
    - python
    - setuptools
    - pyqt
    - matplotlib
    - numpy
  run:
    - python
    - pyqt
    - matplotlib
    - numpy

test:
  imports:
    - adjsim

about:
  home: https://github.com/SeverTopan/AdjSim
  license: GNU General Public License v3 (GPLv3)
  license_family: GPL3
  license_file: ''
  summary: An Agent Based Modelling Engine tailored for Reinforcement Learning.
  description: "At its core, AdjSim is an agent-based modelling engine. It allows users to define simulation environments through which agents\
    \ interact through ability casting and timestep iteration. The framework is targeted towards agents that behave intelligently, for example a bacterium chasing down food. However, the framework is\
    \ extremely flexible - from enabling physics simulation to defining an environment in which `Conway's Game of Life plays out! AdjSim aims\
    \ to be a foundational architecture on top of which reinforcement learning can be built."
  doc_url: ''
  dev_url: ''

extra:
  recipe-maintainers: ''