Recreated recipe for new version which is conda-forge compatible
{% set name = "tsam" %}
-{% set version = "2.0.0" %}
+{% set version = "2.0.1" %}
package:
name: {{ name|lower }}
version: {{ version }}
source:
- url: https://github.com/FZJ-IEK3-VSA/tsam/archive/refs/tags/v{{ version }}.tar.gz
- sha256: 41cbeeb1c4f3ebac1649c98facfed8571be1db0e3c9c643673b3f9ebf5c820eb
+ url: https://pypi.io/packages/source/{{ name[0] }}/{{ name }}/tsam-{{ version }}.tar.gz
+ sha256: 6b5b7e9e3364ee69e0fb658c85ec1415ac0c6e44a86e388de4780123ad34e71f
build:
- number: 0
noarch: python
- script: {{ PYTHON }} -m pip install --no-dependencies . -vv
-
+ script: {{ PYTHON }} -m pip install . -vv
+ number: 0
requirements:
host:
- pip
- - python >=3.0
+ - python
- setuptools-git
run:
- - python >=3.0
- networkx
- numpy >=1.11.0
- pandas >=0.18.1
- pyomo >=5.3
- - scikit-learn
+ - python
+ - scikit-learn >=0.0
+
test:
imports:
- tsam
- - tsam.utils
commands:
- pip check
requires:
@@ -38,12 +37,10 @@ test:
about:
home: https://github.com/FZJ-IEK3-VSA/tsam
- summary: Time series aggregation module (tsam) to create typical periods.
+ summary: Time series aggregation module (tsam) to create typical periods
license: MIT
license_file: LICENSE.txt
- doc_url : https://tsam.readthedocs.io/en/master/
- dev_url: https://github.com/FZJ-IEK3-VSA/tsam
extra:
recipe-maintainers:
- - julian-belina
+ - AddYourGitHubIdHere
