add version;summary and description
@@ -25,11 +25,12 @@ build:
# Uncomment the following line if the package is pure Python and the recipe is exactly the same for all platforms.
# It is okay if the dependencies are not built for all platforms/versions, although selectors are still not allowed.
# See https://conda-forge.org/docs/maintainer/knowledge_base.html#noarch-python for more details.
- # noarch: python
+ noarch: python
number: 0
# If the installation is complex, or different between Unix and Windows, use separate bld.bat and build.sh files instead of this key.
# By default, the package will be built for the Python versions supported by conda-forge and for all major OSs.
# Add the line "skip: True # [py<35]" (for example) to limit to Python 3.5 and newer, or "skip: True # [not win]" to limit to Windows.
+ skip: True # [py<36]
script: "{{ PYTHON }} -m pip install . -vv"
requirements:
@@ -51,27 +52,25 @@ test:
- rockpool.tests
about:
- home: https://github.com/simplejson/simplejson
+ home: https://gitlab.com/ai-ctx/rockpool
# Remember to specify the license variants for BSD, Apache, GPL, and LGPL.
# Prefer the short version, e.g: GPL-2.0 instead of GNU General Public License version 2.0
# See https://opensource.org/licenses/alphabetical
- license: MIT
+ license: AGPL-3.0
# The license_family, i.e. "BSD" if license is "BSD-3-Clause". (optional)
- license_family: MIT
+ license_family:
# It is strongly encouraged to include a license file in the package,
# (even if the license doesn't require it) using the license_file entry.
# See https://conda.pydata.org/docs/building/meta-yaml.html#license-file
- license_file: LICENSE.txt
- summary: 'Simple, fast, extensible JSON encoder/decoder for Python'
+ license_file: LICENSE
+ summary: 'Python package for developing, simulating and training spiking neural networks, and deploying on Neuromorphic hardware'
# The remaining entries in this section are optional, but recommended.
description: |
- simplejson is a simple, fast, complete, correct and extensible
- JSON <https://json.org> encoder and decoder for Python 2.5+ and
- Python 3.3+. It is pure Python code with no dependencies, but includes
- an optional C extension for a serious speed boost.
+ 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/simplejson/simplejson
+ dev_url: https://github.com/rockpool/rockpool
extra:
recipe-maintainers:
