{% set version = "2016.3" %}
{% set name = "sfepy" %}
{% set org = "sfepy" %}

package:
  name: {{ name }}
  version: {{ version }}

source:
  git_url: https://github.com/{{ org }}/{{ name }}.git
  git_rev: release_{{ version }}

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

requirements:
  build:
    - python
    - anaconda
    - cython
    - sympy
    - pytables
    - mpi4py
    - scikits-umfpack

  run:
    - python
    - anaconda
    - pyparsing
    - sympy
    - cython
    - pytables
    - mpi4py
    - scikits-umfpack

about:
  home: http://{{ name }}.org
  license: BSD-3-Clause
  license_file: LICENSE
  summary: "Simple finite elements in Python"
  description: >-
    SfePy is a software for solving systems of coupled partial
    differential equations (PDEs) by the finite element method in 1D,
    2D and 3D. It can be viewed both as black-box PDE solver, and as a
    Python package which can be used for building custom
    applications. The word simple means that complex FEM problems can
    be coded very easily and rapidly.
  doc_url: http://sfepy.org
  dev_url: https://github.com/sfepy/sfepy

extra:
  recipe-maintainers:
    - rc
    - wd15

{% set version = "2016.3" %}
{% set name = "sfepy" %}
{% set org = "sfepy" %}

package:
  name: {{ name }}
  version: {{ version }}

source:
  git_url: https://github.com/{{ org }}/{{ name }}.git
  git_rev: release_{{ version }}

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

requirements:
  build:
    - python
    - anaconda
    - cython
    - sympy
    - pytables
    - mpi4py
    - scikit-umfpack

  run:
    - python
    - anaconda
    - pyparsing
    - sympy
    - cython
    - pytables
    - mpi4py
    - scikit-umfpack

about:
  home: http://{{ name }}.org
  license: BSD-3-Clause
  license_file: LICENSE
  summary: "Simple finite elements in Python"
  description: >-
    SfePy is a software for solving systems of coupled partial
    differential equations (PDEs) by the finite element method in 1D,
    2D and 3D. It can be viewed both as black-box PDE solver, and as a
    Python package which can be used for building custom
    applications. The word simple means that complex FEM problems can
    be coded very easily and rapidly.
  doc_url: http://sfepy.org
  dev_url: https://github.com/sfepy/sfepy

extra:
  recipe-maintainers:
    - rc
    - wd15

Fix type in name of package
Fix type in name of package
