Skip to main content

Target Abstraction for Mbed OS

Project description

Mbed Targets

Package Documentation PyPI PyPI - Status PyPI - Python Version License

Build Status Test Coverage Maintainability

Overview

This package provides an abstraction layer for boards and platforms supported by Mbed OS.

It is expected that this package will be used by developers of Mbed OS tooling rather than by users of Mbed OS. For a command line interface for Mbed OS please see the package mbed-tools.

Releases

For release notes and a history of changes of all production releases, please see the following:

For a the list of all available versions please, please see the:

Versioning

The version scheme used follows PEP440 and Semantic Versioning. For production quality releases the version will look as follows:

  • <major>.<minor>.<patch>

Beta releases are used to give early access to new functionality, for testing and to get feedback on experimental features. As such these releases may not be stable and should not be used for production. Additionally any interfaces introduced in a beta release may be removed or changed without notice. For beta releases the version will look as follows:

  • <major>.<minor>.<patch>-beta.<pre-release-number>

Installation

It is recommended that a virtual environment such as Pipenv is used for all installations to avoid Python dependency conflicts.

To install the most recent production quality release use:

pip install mbed-targets

To install a specific release:

pip install mbed-targets==<version>

Usage

Interface definition and usage documentation (for developers of Mbed OS tooling) is available for the most recent production release here:

Project Structure

The follow described the major aspects of the project structure:

  • azure-pipelines/ - CI configuration files for Azure Pipelines.
  • ci_scripts/ - Scripts for project management automation and build.
  • docs/ - Interface definition and usage documentation.
  • examples/ - Usage examples.
  • mbed_targets/ - Python source files.
  • news/ - Collection of news files for unreleased changes.
  • tests/ - Unit and integration tests.

Getting Help

  • For interface definition and usage documentation, please see GitHub Pages.
  • For a list of known issues and possible work arounds, please see Known Issues.
  • To raise a defect or enhancement please use GitHub Issues.
  • To ask a question please use the Mbed Forum.

Contributing

  • Mbed OS is an open source project and we are committed to fostering a welcoming community, please see our Code of Conduct for more information.
  • For ways to contribute to the project, please see the Contributions Guidelines
  • For a technical introduction into developing this package, please see the Development Guide

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

mbed-targets-1.0.0b125.tar.gz (29.8 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

mbed_targets-1.0.0b125-py3-none-any.whl (31.7 kB view details)

Uploaded Python 3

File details

Details for the file mbed-targets-1.0.0b125.tar.gz.

File metadata

  • Download URL: mbed-targets-1.0.0b125.tar.gz
  • Upload date:
  • Size: 29.8 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.1.1 pkginfo/1.5.0.1 requests/2.23.0 setuptools/46.0.0 requests-toolbelt/0.9.1 tqdm/4.43.0 CPython/3.7.6

File hashes

Hashes for mbed-targets-1.0.0b125.tar.gz
Algorithm Hash digest
SHA256 1de2aa2b22a3cf2b078994ae46bd65861f86b06a17e11ebd893e421910a54510
MD5 f61f4c3dfd862ac8a6e4e59deb434f18
BLAKE2b-256 06e726dc2c56611036e562c5c402c06c2b9ae8ae60a45821ffe7c2f84df142de

See more details on using hashes here.

File details

Details for the file mbed_targets-1.0.0b125-py3-none-any.whl.

File metadata

  • Download URL: mbed_targets-1.0.0b125-py3-none-any.whl
  • Upload date:
  • Size: 31.7 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.1.1 pkginfo/1.5.0.1 requests/2.23.0 setuptools/46.0.0 requests-toolbelt/0.9.1 tqdm/4.43.0 CPython/3.7.6

File hashes

Hashes for mbed_targets-1.0.0b125-py3-none-any.whl
Algorithm Hash digest
SHA256 c506a1b09962aefd601940a4309b5f42d09e7d32c5d4439b6f4e4a5e79fef2c2
MD5 40475252d241ca4fb20039434207d212
BLAKE2b-256 792dfa1aacaac14b77c8075dba02ac804070a3108353300d92f0329040271ec0

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page