meta.yaml

{% set name = "PyStore" %}
{% set version = "0.1.15" %}

package:
  name: "{{ name|lower }}"
  version: "{{ version }}"

source:
  url: "https://pypi.io/packages/source/{{ name[0] }}/{{ name }}/{{ name }}-{{ version }}.tar.gz"
  sha256: "ca1e8b2272ec540f3b0fb570ca5f7c52ce5928608a4bbf6c8aaa2630ec48bb17"

build:
  noarch: python
  number: 0
  script: "{{ PYTHON }} -m pip install . --no-deps --ignore-installed -vv "

requirements:
  host:
    - cloudpickle
    - dask
    - distributed
    - pyarrow
    - multitasking
    - numpy
    - pandas
    - partd
    - pip
    - python
    - python-snappy
    - toolz
  run:
    - cloudpickle
    - dask
    - distributed
    - pyarrow
    - multitasking
    - numpy
    - pandas
    - partd
    - python
    - python-snappy
    - toolz

test:
  imports:
    - pystore

about:
  home: "https://github.com/ranaroussi/pystore"
  license: "Apache Software"
  license_family: "APACHE"
  license_file: ""
  summary: "Fast data store for Pandas time-series data"
  description: |
    PyStore is a simple (yet powerful) datastore for Pandas dataframes,
    and while it can store any Pandas object, it was designed with
    storing timeseries data in mind.
  doc_url: "https://github.com/ranaroussi/pystore"
  dev_url: "https://pypi.python.org/pypi/PyStore"
  doc_source_url: https://github.com/ranaroussi/pystore/blob/master/README.rst


extra:
  recipe-maintainers:
    - ranaroussi