hklpy
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Controls for using diffractometers within the Bluesky Framework.
Based on the hkl C library (described here as libhkl), with
slightly cleaner abstractions when compared to the auto-generated
gobject-introspection classes. Integrates with ophyd
pseudopositioners.
References
- hklpy documentation: https://blueskyproject.io/hklpy
- libhkl main repository: https://repo.or.cz/hkl.git
- (GitHub repo is a shadow copy rarely synchronized with the main repository.)
- Bluesky framework documentation: https://blueskyproject.io
Conda Recipes
Install the most recent build: conda install hklpy -c conda-forge
The recipes for libhkl (hkl) and hklpy are available in the following
conda-forge feedstocks:
7 maintainers
Metadata
7 maintainers
Release files for hklpy 1.1.2
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| hklpy-1.1.2.tar.gz | 2.2 MB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| hklpy-1.1.2-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 2.2 MB
Release files / hklpy-1.1.2.tar.gz
| Download URL | hklpy-1.1.2.tar.gz |
|---|---|
| Size | 2.2 MB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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twine/6.1.0 CPython/3.12.9
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Release files / hklpy-1.1.2-py3-none-any.whl
| Download URL | hklpy-1.1.2-py3-none-any.whl |
|---|---|
| Size | 76.4 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.1.0 CPython/3.12.9
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