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The checks from the new clang-tidy file are applied to the source tree
using:
$ find . -name "*.cpp" | sort -u | xargs \
--max-procs 8 --max-args 1 clang-tidy --format-style=file \
--fix -p /path/to/compile_commands.json
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This resolves an issue with building on older compilers.
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To make the debug output of the database more readable
the has_cal_data lookup for RC data prints the file that
is looked up similar to the lookup for file system.
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This commit adds pybind11 glue code for the userland chdr parsing code
introduced in the uhd::utils::chdr namespace. Additionally, it moves
some pybind11 adapter code to a common pybind_adaptors.hpp file which
originally existed in the cal_python.hpp file.
This commit also adds unit tests for the python bindings using a
captured wireshark trace which is located in rfnoc_packets_*.py and some
handwritten packets in hardcoded_packets.py
Signed-off-by: Samuel O'Brien <sam.obrien@ni.com>
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- min_power and max_power arguments were swapped. They were always
called correctly, so this is more of a documentation fix.
- Add a unit test for the case where power values are not regular, which
is the normal case with real data.
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This adds the possibility to read cal data from flash/EEPROM by adding
callbacks to the database. Unlike the RC and FILESYSTEM data, this is
very device-specific, but we can let devices register callbacks in the
database so that reading cal data from flash can use the same APIs as
from RC or filesystem.
Note that this also gives a convenient way to inject call data during
unit tests, if desired.
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This is a refactoring with no functional change. Instead of hard-coding
the lookup of RC and FILESYSTEM data, we loop over a structure holding
those. This will make it easier to add more types of data lookup in the
future.
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The pwr_cal::get_gain() method previously held the incorrect assumption
that power values per frequency would be equidistant, i.e., be at the
same indices as the gain values. Due to the frequency-dependent nature
of the hardware, this is not a valid assumption (if that were the case,
frequency-dependent calibration would be unnecessary).
This changes get_gain() to not rely on that assumption. Note that it
requires doing some more rounding: The bilinear interpolation method
uses requires coordinates to be on a rectangular grid. This snaps the
power values onto a single coordinate.
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This is a cal container for all types of power cal (RX or TX) that rely
on a single, overall gain value.
Includes Python API.
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- Moves linear_interp from cal to utils
- Moves the interp_mode enum class to interpolation.hpp
- Adds three interpolation methods for maps: at_interpolate_1d(),
at_nearest(), at_lin_interp()
- Adds unit tests
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This class can be used to store calibration coefficients for the X300
DC offset and IQ imbalance calibration.
Note: This also modifies Doxyfile.in to not document files generated by
flatc.
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This class contains methods to store and retrieve data from the local
calibration database. Note that in this case, the "database" is just a
bunch of files on the local filesystem.
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They are currently unused, and may need reimplementation. For the time
being, they can go out of the codebase.
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Updating all SPDX license identifiers to include "-or-later"
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Also updates our coding style file.
Ancient CMake versions required upper-case commands. Later command
names became case-insensitive. Now the preferred style is lower-case.
Run the following shell code (with GNU compliant sed):
cmake --help-command-list | grep -v "cmake version" | while read c; do
echo 's/\b'"$(echo $c | tr '[:lower:]' '[:upper:]')"'\(\s*\)(/'"$c"'\1(/g'
done > convert.sed \
&& git ls-files -z -- bootstrap '*.cmake' '*.cmake.in' \
'*CMakeLists.txt' | xargs -0 gsed -i -f convert.sed && rm convert.sed
(Make sure the backslashes don't get mangled!)
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All copyright is now attributed to "Ettus Research, a National
Instruments company".
SPDX headers were also updated to latest version 3.0.
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- Includes a container for power calibration data
- Unit tests to check underlying container functionality
- Nearest neighbor and bilinear interpolation
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