common_utils.py

import argparse
import numpy as np


def print_c_array(l):
    carr = ""
    for i in range(len(l)):
        if i == len(l) - 1:
            carr += str(l[i])
        else:
            carr += str(l[i]) + ", "
    return carr


# Instantiate the parser
parser = argparse.ArgumentParser(description="Optional app description")
parser.add_argument(
    "--sample_size",
    type=int,
    default=16,
    help="The amount of sample in the waveform look-up table (default = 16)",
)
parser.add_argument(
    "--max_top", type=int, default=127, help="The maximum top value (default = 127)"
)
parser.add_argument(
    "--skip", type=int, default=4, help="The number of skipped overflows (default = 4)"
)
parser.add_argument(
    "--voices", type=int, default=1, help="The number of voices (default = 1)"
)
parser.add_argument(
    "--base_freq",
    type=int,
    default=55,
    help="The frequency from which the signal is generated (default is A1, 55Hz)",
)
parser.add_argument(
    "--phase",
    type=float,
    default=0.0,
    help="The phase at origin of the signal (default is 0)",
)
parser.add_argument(
    "--show_graph", action="store_true", help="Show the graph of the generated signal"
)
parser.add_argument(
    "--word_bit",
    type=int,
    default=16,
    help="The number of bits encoding the tuning word (default is 16)",
)

args = parser.parse_args()

m = args.sample_size
N = args.word_bit
VOICES = args.voices
880
MAX = args.max_top
TOP = int(np.floor(MAX / VOICES))

SKIP = args.skip

f = args.base_freq
f_cpu = 16000000 / (MAX + 1) / SKIP
phase = args.phase