<commit_before>{% set name = "pytorch-dp" %}
{% set version = "0.1b1" %}

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

source:
  url: https://pypi.io/packages/source/{{ name[0] }}/{{ name }}/{{ name }}-{{ version }}.tar.gz
  sha256: 65452d4754f76652030f3f847e29af72d87435142ee6f628d75e53c728067371

build:
  number: 0
  skip: True  # [win]

requirements:
  host:
    - python >=3.7
    - pip
    - torchvision
  run:
    - python >=3.7
    - torchvision
    - scipy

test:
  imports:
    - torchdp

about:
  home: https://github.com/facebookresearch/pytorch-dp
  license: Apache-2.0
  license_family: Apache
  license_file: LICENSE
  summary: pytorch-dp is a library that enables training PyTorch models with differential privacy.
  description: |
    pytorch-dp is a library that enables training PyTorch models with differential privacy. It
    supports training with minimal code changes required on the client, has little impact on training
    performance and allows the client to online track the privacy budget expended at any given moment.
  doc_url: https://pypi.org/project/pytorch-dp/#description
  dev_url: https://github.com/facebookresearch/pytorch-dp

extra:
  recipe-maintainers:
    - ndmaxar
    - rluria14
    - oblute
<commit_msg>try without python version<commit_after>{% set name = "pytorch-dp" %}
{% set version = "0.1b1" %}

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

source:
  url: https://pypi.io/packages/source/{{ name[0] }}/{{ name }}/{{ name }}-{{ version }}.tar.gz
  sha256: 65452d4754f76652030f3f847e29af72d87435142ee6f628d75e53c728067371

build:
  number: 0
  skip: True  # [win]

requirements:
  host:
    - python
    - pip
    - torchvision
  run:
    - python
    - torchvision
    - scipy

test:
  imports:
    - torchdp

about:
  home: https://github.com/facebookresearch/pytorch-dp
  license: Apache-2.0
  license_family: Apache
  license_file: LICENSE
  summary: pytorch-dp is a library that enables training PyTorch models with differential privacy.
  description: |
    pytorch-dp is a library that enables training PyTorch models with differential privacy. It
    supports training with minimal code changes required on the client, has little impact on training
    performance and allows the client to online track the privacy budget expended at any given moment.
  doc_url: https://pypi.org/project/pytorch-dp/#description
  dev_url: https://github.com/facebookresearch/pytorch-dp

extra:
  recipe-maintainers:
    - ndmaxar
    - rluria14
    - oblute

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