CMSIS SVD data files and parser
This directory contains the code for a CMSIS SVD parser in Python. The parser is able to read in an input SVD and provide Python objects containing the information from the SVD. This frees the developer (you) from having to worry about the SVD XML and each vendor’s little quirks.
You can install the latest stable version from pypi:
pip install -U cmsis-svd
To install the latest development version by doing. If this fails, you may need to update the version of pip you are using.
pip install -U -e 'git+https://github.com/posborne/cmsis-svd.git#egg=cmsis-svd&subdirectory=python'
There’s a lot of information you can glean from the SVDs for various platforms. Let’s say, for instance, that I wanted to see the names and base address of each peripheral on the Freescale K20 (D7). Since the K20 SVD is packaged with the library, I can do the following:
from cmsis_svd.parser import SVDParser parser = SVDParser.for_packaged_svd('Freescale', 'MK20D7.xml') for peripheral in parser.get_device().peripherals: print("%s @ 0x%08x" % (peripheral.name, peripheral.base_address))
This generates the following output:
FTFL_FlashConfig @ 0x00000400 AIPS0 @ 0x40000000 AIPS1 @ 0x40080000 AXBS @ 0x40004000 DMA @ 0x40008000 FB @ 0x4000c000 FMC @ 0x4001f000 FTFL @ 0x40020000 DMAMUX @ 0x40021000 CAN0 @ 0x40024000 SPI0 @ 0x4002c000 SPI1 @ 0x4002d000 ...
Example 2: Convert to JSON
The data structures representing the SVD data have the ability to convert themselves to a dictionary suitable for serialization as JSON. This works recursively. To generate JSON data and pretty print it you can do something like the following:
from cmsis_svd.parser import SVDParser parser = SVDParser.for_packaged_svd('Freescale', 'MK20D7.xml') svd_dict = parser.get_device().to_dict() print(json.dumps(svd_dict, sort_key=True, indent=4, separators=(',', ': ')))
Once you have the code checked out, you can run the following from this directory to install dependencies:
virtualenv env source env/bin/activate pip install -r dev-requirements.txt
Then, to run the tests:
There are quite a few SVD files, so the tests take a bit. If you have some extra CPUs to throw at the problem, you can do the following:
nosetes --process=8 .
Where 8 can be replaced with as many processes as you see fit. Generally, 2x the number of processors in your machine is a good starting place.
Please open issues and submit pull requests on Github.
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