<commit_before># Note: there are many handy hints in comments in this example -- remove them when you've finalized your recipe

# Jinja variables help maintain the recipe as you'll update the version only here.
# Using the name variable with the URL in line 14 is convenient
# when copying and pasting from another recipe, but not really needed.
{% set name = "d3rlpy" %}
{% set version = "0.32" %}

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

source:
  url: https://pypi.io/packages/source/{{ name[0] }}/{{ name }}/{{ name }}-{{ version }}.tar.gz
  sha256: 808ff3094b0e59ff373213a02034158f798d1a5c378ab5de222629148267676b

build:
  number: 0

requirements:
  build:
    - {{ compiler('cxx') }}
  host:
    - python
    - pip
  run:
    - python
    - numpy
    - Cython

test:
  imports:
    - d3rlpy

about:
  home: https://github.com/takuseno/d3rlpy
  license: MIT
  license_family: MIT
  license_file: LICENSE
  summary: 'A data-driven deep reinforcement learning library as an out-of-the-box tool'

  description: |
    d3rlpy is a Python library providing the state-of-the-art data-driven deep
    reinforcement learning algorithms through scikit-learn style API.
  doc_url: https://d3rlpy.readthedocs.io
  dev_url: https://github.com/takuseno/d3rlpy

extra:
  recipe-maintainers:
    - takuseno<commit_msg>Fix build<commit_after># Note: there are many handy hints in comments in this example -- remove them when you've finalized your recipe

# Jinja variables help maintain the recipe as you'll update the version only here.
# Using the name variable with the URL in line 14 is convenient
# when copying and pasting from another recipe, but not really needed.
{% set name = "d3rlpy" %}
{% set version = "0.32" %}

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

source:
  url: https://pypi.io/packages/source/{{ name[0] }}/{{ name }}/{{ name }}-{{ version }}.tar.gz
  sha256: 808ff3094b0e59ff373213a02034158f798d1a5c378ab5de222629148267676b

build:
  number: 0

requirements:
  build:
    - {{ compiler('cxx') }}
  host:
    - python
    - pip
    - numpy
    - Cython
  run:
    - python
    - numpy
    - torch
    - scikit-learn
    - tensorboardX
    - tqdm
    - GPUtil
    - h5py
    - gym
    - kornia

test:
  imports:
    - d3rlpy

about:
  home: https://github.com/takuseno/d3rlpy
  license: MIT
  license_family: MIT
  license_file: LICENSE
  summary: 'A data-driven deep reinforcement learning library as an out-of-the-box tool'

  description: |
    d3rlpy is a Python library providing the state-of-the-art data-driven deep
    reinforcement learning algorithms through scikit-learn style API.
  doc_url: https://d3rlpy.readthedocs.io
  dev_url: https://github.com/takuseno/d3rlpy

extra:
  recipe-maintainers:
    - takuseno
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