This converts all the YAML files to JSON files, as json parsing is built
into python instead of being a separate library requiring installation.
YAML is a superset of JSON, but putting comments in is not quite as obvious
as it is in yaml.
The following glue was used to convert yaml to json:
python -c 'import sys, yaml, json; json.dump(yaml.load(sys.stdin), sys.stdout, indent=4)' < $1 > $2
Clearly I haven't tested this on every single platform, and this
doesn't address the large blobs of yaml in the lpc4300 scripts directory,
only the cortex NVIC generation process.
I've tested a few IRQ driven example apps, and I've checked the generated
output of some known cases like the LM3s that has explicit gaps, and they are
all generated correctly.
New doc directory with config files and generated html, LaTeX/pdf.
Makefile provided for autogeneration and explanatory README.
The project structure is hostile to doxygen, which can't cope with functions
of the same name. Doxygen is run for each family separately, and separately
for LaTeX generation. Customized layout files sort of "integrate" HTML, and
separate pdfs are generated for each family. Not ideal but seems the best
solution until doxygen changes, if at all.
All #includes now explicitly use the "<libopencm3/stm32/rcc.h>" format.
If you want to get rid of the "libopencm3" prefix in your local project you
can add a respective -I entry in your Makefile (not recommended though).
All .ld files and .a libs are installed in $(TOOLCHAIN_DIR)/lib
directly (as before), but are now renamed to avoid potential
conflicts now or in the future. Examples:
libopencm3_lpc13xx.a
libopencm3_lpc13xx.ld
libopencm3_stm32.a
libopencm3_stm32.ld
