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#!/usr/bin/env python3
# -*- coding: utf-8 -*-
import argparse
import sys
import os
import re
import numpy as np
import matplotlib.pyplot as plt
import scipy.fftpack
import pqf
RUNS = 2
SAMPLERATE = 44100
def show_proto(proto):
fig = plt.figure()
yf = scipy.fftpack.fft(proto)
max_freq = SAMPLERATE // 2;
f_len = len(proto) // 2
freq_step = max_freq / f_len;
freq = np.empty(f_len)
for i in range(f_len):
freq[i] = i * freq_step
fig.add_subplot(111).plot(freq, 20 * np.log10(np.abs(yf[:f_len])))
fig.add_subplot(222).plot(proto)
plt.show()
def calc_energy_db(data):
res = 0.0
for x in data:
res += x * x
return 10 * np.log10(res / len(data))
def do_an(ctx, time, data, shift):
data_slice = data[shift : ctx.frame_sz() + shift]
time_slice = time[shift : ctx.frame_sz() + shift]
energy_in = calc_energy_db(data_slice)
res = ctx.do(data_slice)
subbands_num = ctx.subbands_num();
subband_sz = ctx.subband_sz();
energy_out = calc_energy_db(res)
rel = energy_out - energy_in
attenuations = []
for i in range(subbands_num):
start = i * subband_sz
end = start + subband_sz
tmp = calc_energy_db(res[start:end]) - energy_in
for j in range(subband_sz):
attenuations.append(tmp)
textstr = 'out - in : %.3f' % rel
fig = plt.figure()
color = 'tab:blue'
a = fig.add_subplot(111)
a.set_ylabel('value', color=color)
a.plot(res, color=color)
a.set_title("output")
props = dict(boxstyle='round', facecolor='wheat', alpha=0.5)
a.text(0.01, 0.95, textstr, transform=a.transAxes, fontsize=10,
verticalalignment='top', bbox=props)
ax2 = a.twinx()
color = 'tab:red'
ax2.set_ylabel('attenuation, db', color=color)
ax2.plot(attenuations, color=color)
b = fig.add_subplot(222)
textstr = 'in: %.3f' % energy_in
b.plot(time_slice, data_slice)
b.text(0.5, 0.95, textstr, transform=a.transAxes, fontsize=10,
verticalalignment='top', bbox=props)
b.set_title("input");
plt.show()
def process_freq(freq, subband_sz, subbands_num, prototype):
ctx = pqf.AnalyzeCtx(subband_sz, subbands_num, prototype)
frame_sz = ctx.frame_sz()
time = np.arange(0, frame_sz * RUNS, 1)
amplitude = 1 * np.sin(2 * np.pi * freq * time / SAMPLERATE).astype(np.float32)
do_an(ctx, time, amplitude, 0)
do_an(ctx, time, amplitude, frame_sz)
def show_response(pos, subband_sz, subbands_num, prototype):
ctx = pqf.AnalyzeCtx(subband_sz, subbands_num, prototype)
time = np.arange(0, ctx.frame_sz() * RUNS, 1)
amplitude = np.zeros(ctx.frame_sz() * RUNS)
amplitude[ctx.frame_sz() + pos] = 1.0
do_an(ctx, time, amplitude, 0)
do_an(ctx, time, amplitude, ctx.frame_sz())
def load_prototype(path):
prototype = []
with open(path) as fp:
for line in fp:
if line[0] == "#":
continue
for val in re.findall(r"[-+]?\d*\.\d+|\d+",line):
prototype.append(np.float32(val))
return prototype
def main():
parser = argparse.ArgumentParser()
modes = ['freq', 'delta', 'proto']
parser.add_argument('--mode', choices=modes, required=True, help='run mode')
parser.add_argument('--file', type=str, help='path to prototype file', required=True, action='store')
parser.add_argument('--subband-size', type=int, help='size of subband', action='store')
parser.add_argument('--subbands-num', type=int, help='number of subbands to split', action='store')
args, free_args = parser.parse_known_args()
if not os.path.isfile(args.file):
print("Prototype file {} does not exist.".format(args.file), file=sys.stderr)
sys.exit()
prototype = load_prototype(args.file)
if (args.mode == 'proto'):
show_proto(prototype)
if (args.mode == 'delta'):
if len(free_args) != 1:
print('one free argument (position) must be provided in delta mode')
sys.exit()
show_response(int(free_args[0]), args.subband_size, args.subbands_num, prototype)
else:
if len(free_args) != 1:
print('one free argument (frequency) must be provided in frequency mode')
sys.exit()
process_freq(int(free_args[0]), args.subband_size, args.subbands_num, prototype)
if __name__ == "__main__":
main()
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