mode using the Bluefruit LE Connect app.
Author: Collin Cunningham for Adafruit Industries, 2019
"""
# pylint: disable=global-statement
import time
import array
import math
import audiobusio
import board
import neopixel
from adafruit_ble import BLERadio
from adafruit_ble.advertising.standard import ProvideServicesAdvertisement
from adafruit_ble.services.nordic import UARTService
from adafruit_bluefruit_connect.packet import Packet
from adafruit_bluefruit_connect.color_packet import ColorPacket
from adafruit_bluefruit_connect.button_packet import ButtonPacket
ble = BLERadio()
uart_service = UARTService()
advertisement = ProvideServicesAdvertisement(uart_service)
# User input vars
mode = 0 # 0=audio, 1=rainbow, 2=larsen_scanner, 3=solid
user_color= (127,0,0)
# Audio meter vars
PEAK_COLOR = (100, 0, 255)
NUM_PIXELS = 10
NEOPIXEL_PIN = board.A1
# Use this instead if you want to use the NeoPixels on the Circuit Playground Bluefruit.
# NEOPIXEL_PIN = board.NEOPIXEL
CURVE = 2
SCALE_EXPONENT = math.pow(10, CURVE * -0.1)
NUM_SAMPLES = 160
# Restrict value to be between floor and ceiling.
def constrain(value, floor, ceiling):
return max(floor, min(value, ceiling))
# Scale input_value between output_min and output_max, exponentially.
def log_scale(input_value, input_min, input_max, output_min, output_max):
normalized_input_value = (input_value - input_min) / \
(input_max - input_min)
return output_min + \
math.pow(normalized_input_value, SCALE_EXPONENT) \
* (output_max - output_min)
# Remove DC bias before computing RMS.
def normalized_rms(values):
minbuf = int(mean(values))
samples_sum = sum(
float(sample - minbuf) * (sample - minbuf)
for sample in values
)
return math.sqrt(samples_sum / len(values))
def mean(values):
return sum(values) / len(values)