HI guys, just trying to get set up with Toit right now. I've loaded up the example pwm script, but it's throwing an UNKNOWN ERROR 0x102(258). I know the Pin is correct (it works with the basic standard led blink script), and is pwm compatible (from upython and arduino projects). I'm using a seeed XIAO esp3-c3, GPIO#10

import gpio
import gpio.pwm

main:
  led := gpio.Pin 10
  generator := pwm.Pwm --frequency=50
  channel := generator.start led
  //channel.set-duty-factor 0.5
  sleep --ms=10_000
  channel.close
  generator.close
  led.close

And the monitor outputs: `[jaguar] INFO: program aecc3774-fdf7-fc6a-1e25-b3c397b6481f started E (2734368) ledc: freq_hz=1000 duty_resolution=16 ****************************************************************************** Decoding by

jag

, device has version ****************************************************************************** EXCEPTION error. UNKNOWN ERROR 0x102(258) 0: pwm-init_ \gpio\pwm.toit:177:3 1: Pwm \gpio\pwm.toit:103:12 2: main led_pwm.toit:6:16 ****************************************************************************** [jaguar] ERROR: program aecc3774-fdf7-fc6a-1e25-b3c397b6481f stopped - exit code 1`

We might be doing something wrong ok the C3... 😦

Haha, I'm not surprised. I know using the fringe boards makes things like this harder. Thanks for the help

I'm currently not at the computer but I will later look at the code and try to see if something obvious is wrong.

Very cool, thank you. I'll play around with the BLE until then

You should be able to handle 9-36hz in software. Yes

Blinking LEDs. THe most basic of functions 🙃 (LEDs are 3W, so their being driven by a PNP transistor). I wanted to use the PWM to have non-locking functions for BLE control (change frequency, brightness etc). I just discovered the tasks which seem like a slightly more advanced asyncio function from upython though, which may be able to handle my use case for now

Why do you want to run it at such a low frequency?

It's a flicker-light stimulation device for brain wave entrainment. The effective studied frequenceies are 9-36Hz.

Ok. That makes more sense 🙂

My guess is that the brain is too slow for that level of precision, we already have an auto-correcting 80ms 'synchronization window' of stimuli. But I'll explore that option if the first round of tests turns out promising.