Hi~
We have a package on PyPI that we want to publish to conda-forge. Let’s call it package A. Package A depends on package B, which is also on PyPI. Package B requires cython, so we decided to separate B from A so that A could be a noarch package for easy distribution.
When we publish A to conda-forge, we want to also build B as a sub-package, so we don’t need to also set up a feedstock for B. So we specify separate sources for both A and B. Then, with the outputs field, we build both A and B, and then have a meta-package that has both A and B as a dependency, This worked all fine. A, B, and the meta-package were all built successfully, but when it comes to testing A and B, imports failed with ModuleNotFound error.
We’d appreciate any suggestions! The PR is here.
Here’s the recipe
{% set name = "hssm" %}
{% set version = "0.2.0" %}
{% set wfpt_name = "hddm-wfpt" %}
{% set wfpt_version = "0.1.4" %}
package:
name: {{ name|lower }}
version: {{ version }}
source:
- url: https://pypi.io/packages/source/{{ name[0] }}/{{ name }}/hssm-{{ version }}.tar.gz
sha256: a4b874ff970cdef38ca1d6ec738edb1708b6a9b5e5243b7e4217d4a428be4842
- url: https://pypi.io/packages/source/{{ name[0] }}/{{ wfpt_name }}/hddm_wfpt-{{ wfpt_version }}.tar.gz
sha256: b16d318ce47f4691b90e341f29918fd0f7ca0cbce120f794d2e7c8198a40fb6d
folder: hddm_wfpt
build:
noarch: python
number: 0
requirements:
run:
- hddm-wfpt
- hssm-core
test:
imports:
- hssm
commands:
- pip check
requires:
- pip
outputs:
- name: hddm-wfpt
version: {{ wfpt_version }}
build:
noarch: python
script: python -m pip install ./hddm_wfpt -vv --no-deps --no-build-isolation
requirements:
build:
- python >=3.10,<3.12
- {{ compiler('cxx') }}
- {{ compiler('c') }}
- {{ stdlib('c') }}
- numpy
- cython
- pip
host:
- python >=3.10,<3.12
- setuptools
- wheel
- cython
- numpy
- pip
run:
- python >=3.10,<3.12
- numpy >=1.23.4,<1.26.4
- scipy >=1.9.1
- name: hssm-core
version: {{ version }}
build:
noarch: python
script: python -m pip install . -vv --no-deps --no-build-isolation
requirements:
build:
- python >=3.10,<3.12
- pip
- poetry-core
host:
- python >=3.10,<3.12
- pip
- poetry-core
run:
- python >=3.10,<3.12
- pymc <5.10
- arviz >=0.14.0,<0.15.0
- onnx >=1.12.0,<2.0.0
- jax >=0.4.10,<0.4.16
- ssm-simulators >=0.7.2,<0.8.0
- huggingface_hub >=0.15.1,<0.16.0
- onnxruntime >=1.15.0,<2.0.0
- bambi >=0.12.0,<0.13.0
- numpyro >=0.12.1,<0.13.0
test:
imports:
- hssm
commands:
- pip check
requires:
- pip
- hddm-wfpt
- hssm-core
about:
home: https://lnccbrown.github.io/HSSM/
summary: Bayesian inference for hierarchical sequential sampling models.
dev_url: https://github.com/lnccbrown/HSSM/
license: LicenseRef-Brown-University-2023
license_file: LICENSE