sensor-state-data 2.18.0-2 source package in Ubuntu
Changelog
sensor-state-data (2.18.0-2) unstable; urgency=medium * Source-only upload to allow package to migrate to testing. -- Edward Betts <edward@4angle.com> Tue, 21 May 2024 20:27:06 +0200
Upload details
- Uploaded by:
- Debian Python Team
- Uploaded to:
- Sid
- Original maintainer:
- Debian Python Team
- Architectures:
- all
- Section:
- misc
- Urgency:
- Medium Urgency
See full publishing history Publishing
Series | Published | Component | Section |
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Downloads
File | Size | SHA-256 Checksum |
---|---|---|
sensor-state-data_2.18.0-2.dsc | 2.4 KiB | 5310a3c61906ae1b1ffd1bd0cedeff17cf148f22561bbf23c8c0e206d94aaf62 |
sensor-state-data_2.18.0.orig.tar.gz | 40.8 KiB | 3bc0e97b14454ef9c6f69ee1c12c0fc233ca346afcca0876fc50b96c349b9c3e |
sensor-state-data_2.18.0-2.debian.tar.xz | 3.9 KiB | 3a28876a6bef73d673086f7a05beb6750118eca8e5d86066b4e91cb0fd6d8b6c |
No changes file available.
Binary packages built by this source
- python-sensor-state-data-doc: Models for storing and converting Sensor Data state (Documentation)
Provides models for storing and converting sensor data state in Python
applications. This package facilitates handling sensor data, including
storage, conversion, and manipulation, making it easier to work with
sensor data in a structured and consistent manner.
.
The package includes various models and utilities to manage sensor data
efficiently, ensuring compatibility and ease of use across different
projects and applications. It supports integration with other tools and
libraries for a seamless experience.
.
This package contains the documentation.
- python3-sensor-state-data: Models for storing and converting Sensor Data state
Provides models for storing and converting sensor data state in Python
applications. This package facilitates handling sensor data, including
storage, conversion, and manipulation, making it easier to work with
sensor data in a structured and consistent manner.
.
The package includes various models and utilities to manage sensor data
efficiently, ensuring compatibility and ease of use across different
projects and applications. It supports integration with other tools and
libraries for a seamless experience.