Staging conda-forge for version rockpool-1.0.5.tar.gz
{% set name = "rockpool" %}
-{% set version = "1.0.1" %}
+{% set version = "1.0.4" %}
package:
name: {{ name|lower }}
version: {{ version }}
source:
- url: https://test-files.pythonhosted.org/packages/f8/d8/3468c3bd92134e218553dfa4b8afdec826fc0ccacc2f5c6c928cdc8cb094/rockpool-1.0.tar.gz
- sha256: e3b0c44298fc1c149afbf4c8996fb92427ae41e4649b934ca495991b7852b855
+ url: https://pypi.io/packages/source/{{ name[0] }}/{{ name }}/{{ name }}-{{ version }}.tar.gz
+ sha256: a74091184856d386a4ee1995727e209f05c9b765b983c56c7d58de76dfc82cfe
build:
noarch: python
@@ -38,14 +38,14 @@ about:
description: |
Rockpool is a Python package for working with dynamical neural network architectures, particularly for designing event-driven networks for Neuromorphic computing hardware. Rockpool provides a convenient interface for designing, training and evaluating recurrent networks, which can operate both with continuous-time dynamics and event-driven dynamics.
Rockpool is an open-source project managed by aiCTX AG
- doc_url: https://rockpool.readthedocs.io/
- dev_url: https://github.com/rockpool/rockpool
+ doc_url: https://aictx.gitlab.io/rockpool/
+ dev_url: https://gitlab.com/aiCTX/rockpool
extra:
recipe-maintainers:
- - Dacian Herbei
- Dylan Richard Muir
- Felix Bauer
- Marco Reato
- Philipp Weidel
+ - Dacian Herbei
