Hi everyone
I want to test the AES message encryption mechanism on M3 and ST-Lorawamn nodes and collect information about the energy consumption of the nodes during the encryption phase and the computing time
the problem I found is that the experiment on fit iot lab can't be launched using a power consumption monitoring profile without the tutorial-M3.elf firmware
im getting the following message error
rbah@grenoble:~/iot-lab/parts/contiki/examples/ipv6/rpl-udp$ plot_oml_consum -p -i /.iot-lab/255409/consumption/m3_103.oml
/usr/local/lib/python3.7/dist-packages/oml_plot_tools/common.py:144: ConversionWarning: Some errors were detected !
Line #2128 (got 5 columns instead of 8)
invalid_raise=False)
Traceback (most recent call last):
File "/usr/local/bin/plot_oml_consum", line 24, in
oml_plot_tools.consum.main()
File "/usr/local/lib/python3.7/dist-packages/oml_plot_tools/consum.py", line 157, in main
consumption_plot(data, opts.title, selection)
File "/usr/local/lib/python3.7/dist-packages/oml_plot_tools/consum.py", line 117, in consumption_plot
oml_plot(data, title, [MEASURES_D[value]])
File "/usr/local/lib/python3.7/dist-packages/oml_plot_tools/consum.py", line 139, in oml_plot
plt.figure()
File "/usr/local/lib/python3.7/dist-packages/matplotlib/pyplot.py", line 533, in figure
**kwargs)
File "/usr/local/lib/python3.7/dist-packages/matplotlib/backend_bases.py", line 161, in new_figure_manager
return cls.new_figure_manager_given_figure(num, fig)
File "/usr/local/lib/python3.7/dist-packages/matplotlib/backends/_backend_tk.py", line 1046, in new_figure_manager_given_figure
window = Tk.Tk(className="matplotlib")
File "/usr/lib/python3.7/tkinter/init.py", line 2023, in init
self.tk = _tkinter.create(screenName, baseName, className, interactive, wantobjects, useTk, sync, use)
_tkinter.TclError: no display name and no $DISPLAY environment variable
rbah@grenoble:/iot-lab/parts/contiki/examples/ipv6/rpl-udp$
SVP CAN U HELP ME

Hello
I am working on study of the energy consumption of the M3 nodes.
the plot of energy consumption generated graphs of this kind.

on which I do not understand the fall of the curve at the level of the second 3150
How can we explain this variation ?
thanks in advance

I'm having issues with the riot/security/ota notebook, in jupyter I get the following:

!make ETHOS_BAUDRATE=500000 IOTLAB_NODE=auto-ssh riotboot/flash-combined-slot0

make[1]: Nothing to be done for 'prepare'.
/home/jovyan/work/training/riot/RIOT/bootloaders/riotboot/../..//Makefile.include:583: *** FLASHFILE is not defined for this board: .  Stop.
make: *** [/home/jovyan/work/training/riot/RIOT/makefiles/boot/riotboot.mk:80: riotboot/bootloader/binfile] Error 2

And then if I open a terminal and try to manually compile that application I get:

BOARD=iotlab-m3 make -C examples/suit_update/
make: Entering directory '/home/jovyan/work/training/riot/RIOT/examples/suit_update'
Building application "suit_update" for "iotlab-m3" with MCU "stm32".

make[1]: Nothing to be done for 'prepare'.
"make" -C /home/jovyan/work/training/riot/RIOT/pkg/c25519
"make" -C /home/jovyan/work/training/riot/RIOT/build/pkg/c25519/src -f /home/jovyan/work/training/riot/RIOT/Makefile.base MODULE=c25519
"make" -C /home/jovyan/work/training/riot/RIOT/pkg/libcose
...
...
/home/jovyan/work/training/riot/RIOT/bootloaders/riotboot/bin/iotlab-m3/periph_common/pm.o: In function `__get_PRIMASK':
/home/jovyan/work/training/riot/RIOT/cpu/cortexm_common/include/vendor/cmsis_gcc.h:386: multiple definition of `pm_off'
/home/jovyan/work/training/riot/RIOT/bootloaders/riotboot/bin/iotlab-m3/periph/pm.o:/home/jovyan/work/training/riot/RIOT/cpu/cortexm_common/include/vendor/cmsis_gcc.h:386: first defined here
collect2: error: ld returned 1 exit status
make: *** [/home/jovyan/work/training/riot/RIOT/bootloaders/riotboot/../..//Makefile.include:634: /home/jovyan/work/training/riot/RIOT/bootloaders/riotboot/bin/iotlab-m3/riotboot.elf] Error 1
make: *** [/home/jovyan/work/training/riot/RIOT/makefiles/boot/riotboot.mk:80: riotboot/bootloader/binfile] Error 2
make: Leaving directory '/home/jovyan/work/training/riot/RIOT/examples/suit_update'

Both issues I do not get when compiling locally on a local copy of this repository, is there some additional background settings in jupyter that could explain this? Thanks.

In the riot threading concurrency exercise the example code to add a buffer/mutex starts with:
ypedef struct {
Should probably be
typedef struct {