Metadata-Version: 2.1
Name: hklpy
Version: 1.0.1
Summary: Controls for using diffractometers within the Bluesky Framework: https://blueskyproject.io
Home-page: https://github.com/bluesky/hklpy
Maintainer: prjemian
Maintainer-email: prjemian+hklpy@gmail.com
License: BSD
Description: | Name | Downloads | Version | Platforms | Testing |
        | --- | --- | --- | --- | --- |
        | [![Conda Recipe](https://img.shields.io/badge/recipe-hklpy-green.svg)](https://anaconda.org/conda-forge/hklpy) | [![Conda Downloads](https://img.shields.io/conda/dn/conda-forge/hklpy.svg)](https://anaconda.org/conda-forge/hklpy) | [![Conda Version](https://img.shields.io/conda/vn/conda-forge/hklpy.svg)](https://anaconda.org/conda-forge/hklpy) | [![Conda Platforms](https://img.shields.io/conda/pn/conda-forge/hklpy.svg)](https://anaconda.org/conda-forge/hklpy) | [![Build Status](https://img.shields.io/github/workflow/status/bluesky/hklpy/Unit%20Tests)](https://github.com/bluesky/hklpy/actions?query=workflow%3A%22Unit+Tests%22+branch%3Amain) |
        
        hklpy
        =====
        
        Controls for using diffractometers within the [Bluesky
        Framework](https://blueskyproject.io).
        
        Based on the *hkl*  C++ library (described here as [*libhkl*](https://people.debian.org/~picca/hkl/hkl.html#)), with
        slightly cleaner abstractions when compared to the auto-generated
        `gobject-introspection` classes. Integrates with ophyd
        pseudopositioners.
        
        **TIP**: Always import the ``gobject-introspection`` package first
        and require ``Hkl`` version 5.0, as in:
        
        ```python
        import gi
        gi.require_version('Hkl', '5.0')
        
        from hkl import E4CV
        # note: before v1.0 release use:
        # from hkl.geometries import E4CV
        ```
        
        **NOTE**: main repository: https://repo.or.cz/hkl.git (GitHub repo
        https://github.com/picca/hkl is a shadow copy that may not be
        synchronized with the latest version from repo.or.cz)
        
        **NOTE**: hklpy documentation: https://blueskyproject.io/hklpy
        
        **NOTE**: Bluesky framework documentation: https://blueskyproject.io
        
        ## Conda Recipes
        
        Install the most recent build: `conda install hklpy -c nsls2forge`
        
        The recipes for `hkl` and `hklpy` are available in the following feedstocks:
        - https://github.com/nsls-ii-forge/hkl-feedstock
        - https://github.com/nsls-ii-forge/hklpy-feedstock
        
Platform: UNKNOWN
Description-Content-Type: text/markdown
