Cleanup of meta.yml
-# Note: there are many handy hints in comments in this example -- remove them when you've finalized your recipe
-
-# Jinja variables help maintain the recipe as you'll update the version only here.
{% set name = "pymc" %}
{% set version = "2.3.6" %}
{% set sha256 = "e287a7d1821d55a41079fe0289d70b6f2ea905f4c6b1a9207bdf35425bdcae37" %}
-# sha256 is the prefered checksum -- you can get it for a file with:
-# `openssl sha256 <file name>`.
-# You may need the openssl package, available on conda-forge
-# `conda install openssl -c conda-forge``
package:
name: {{ name|lower }}
@@ -20,26 +13,19 @@ source:
build:
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 Python 2.7, 3.4, and above, for all major OSs.
- # Add the line "skip: True # [py<34]" (for example) to limit to Python 3.4 and newer, or "skip: True # [not win]" to limit to Windows.
script: python setup.py install --single-version-externally-managed --record record.txt
requirements:
build:
- - python
- # When setuptools is available add the `--single-version-externally-managed --record record.txt` above.
+ - python --single-version-externally-managed --record record.txt
- setuptools
- # if your project compiles code (such as a C extension) then add `toolchain` as a build requirement.
- - numpy
- - scipy
- - matplotlib
+ - numpy>=1.8
run:
- python
+ - scipy
+ - matplotlib
test:
- # Some package might need a `test/commands` key to check CLI.
- # List all the packages/modules that `run_test.py` imports.
imports:
- pymc
- pymc.database
@@ -50,19 +36,11 @@ test:
about:
home: http://github.com/pymc-devs/pymc
- # Remember to specify the license variants for BSD, Apache, GPL, and LGLP.
- # 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: AFL-3.0
- # The license_family, i.e. "BSD" if license is "BSD-3-Clause". (optional)
license_family: OTHER
- # 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 http://conda.pydata.org/docs/building/meta-yaml.html#license-file
- license_file: LICENSE.txt
+ license_file: LICENSE
summary: 'PyMC: Bayesian Stochastic Modelling in Python'
- # The remaining entries in this section are optional, but recommended
description: |
PyMC is a python module that implements Bayesian statistical models and fitting algorithms, including Markov chain Monte Carlo. Its flexibility and extensibility make it applicable to a large suite of problems. Along with core sampling functionality, PyMC includes methods for summarizing output, plotting, goodness-of-fit and convergence diagnostics.
doc_url: http://pymc-devs.github.io/pymc/
@@ -70,6 +48,4 @@ about:
extra:
recipe-maintainers:
- # GitHub IDs for maintainers of the recipe.
- # Always check with the people listed below if they are OK becoming maintainers of the recipe. (There will be spam!)
- fonnesbeck
