File: C:/Users/fred/anaconda3/pkgs/numpydoc-1.7.0-py312haa95532_0/info/recipe/meta.yaml.template
{% set name = "numpydoc" %}
{% set version = "1.7.0" %}
package:
name: {{ name|lower }}
version: {{ version }}
source:
url: https://pypi.io/packages/source/{{ name[0] }}/{{ name }}/numpydoc-{{ version }}.tar.gz
sha256: 866e5ae5b6509dcf873fc6381120f5c31acf13b135636c1a81d68c166a95f921
build:
# sphinx >=7.2.0 requires py>=39, we didn't build sphinx >5.0.2,<7.3.7.
skip: True # [py<39]
number: 0
script: {{ PYTHON }} -m pip install . --no-deps --no-build-isolation --ignore-installed --no-cache-dir -vv
requirements:
host:
- pip
- python
- setuptools
- wheel
run:
- python
- sphinx >=6
- tabulate >=0.8.10
- tomli >=1.1.0 # [py<311]
test:
imports:
- numpydoc
requires:
- pip
- pytest
- matplotlib-base
commands:
- pip check
- pytest --pyargs numpydoc
about:
home: https://github.com/numpy/numpydoc
license: BSD-2-Clause
license_family: BSD
license_file: LICENSE.txt
summary: Sphinx extension to support docstrings in Numpy format
description: |
Numpy's documentation uses several custom extensions to Sphinx. These are shipped in this numpydoc package, in case you want to make use of them in third-party projects.
The numpydoc extension provides support for the Numpy docstring format in Sphinx, and adds the code description directives np:function, np-c:function, etc. that support the Numpy docstring syntax.
dev_url: https://github.com/numpy/numpydoc
doc_url: https://numpydoc.readthedocs.io/
extra:
recipe-maintainers:
- jschueller
- scopatz