xnorpx

#[cfg(test)]
mod tests {
    use super::*;
    use windows::Win32::Media::timeGetTime;
    use windows::Win32::Media::timeGetDevCaps;
    use windows::Win32::Media::timeBeginPeriod;
    use windows::Win32::Media::TIMECAPS;
    use windows::Win32::Media::TIMERR_NOERROR;
    use std::mem;
    #[tokio::test]

xnorpx

"""
Train a neural network to implement the discrete Fourier transform
"""
from keras.models import Sequential
from keras.layers import Dense
import numpy as np
import matplotlib.pyplot as plt

N = 32
batch = 10000

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// only tested with 1 channel wav file

const { OpusEncoder } = require('@discordjs/opus');

let fs = require('fs');
wav_file = fs.readFileSync('somefile.wav');

const WaveFile = require('wavefile').WaveFile;
let wav = new WaveFile(wav_file);
 

xnorpx

import os
import sys
import logging
import itertools
from ruamel.yaml import YAML  # Github actions needs yaml 1.2

build_settings = ['disable_intrinsics', 'fixed_point', 'custom_modes']
platforms = ['win', 'linux', 'mac', 'ios', 'android']
archs = ['x86', 'x86_64', 'armv7', 'arm64']