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# -*- coding: utf-8 -*-
#
# Test code for DAB util
#
# http://www.opendigitalradio.org
# Licence: The MIT License, see notice at the end of this file
from unittest import TestCase
import numpy as np
import pandas as pd
import src.Dab_Util as DU
class TestDab_Util(TestCase):
def test_subsample_align(self, sample_orig=r'../test_data/orig_rough_aligned.dat',
sample_rec =r'../test_data/recored_rough_aligned.dat',
length = 10240, max_size = 1000000):
du = DU.Dab_Util(8196000)
res1 = []
res2 = []
for i in range(10):
start = np.random.randint(50, max_size)
r = np.random.randint(-50, 50)
s1 = du.fromfile(sample_orig, offset=start+r, length=length)
s2 = du.fromfile(sample_rec, offset=start, length=length)
res1.append(du.lag_upsampling(s2, s1, 32))
s1_aligned, s2_aligned = du.subsample_align(s1, s2)
res2.append(du.lag_upsampling(s2_aligned, s1_aligned, 32))
error_rate = np.mean(np.array(res2) != 0)
self.assertEqual(error_rate, 0.0, "The error rate for aligning was %.2f%%"
% error_rate * 100)
#def test_using_aligned_pair(sample_orig=r'../data/orig_rough_aligned.dat', sample_rec =r'../data/recored_rough_aligned.dat', length = 10240, max_size = 1000000):
# res = []
# for i in tqdm(range(100)):
# start = np.random.randint(50, max_size)
# r = np.random.randint(-50, 50)
#
# s1 = du.fromfile(sample_orig, offset=start+r, length=length)
# s2 = du.fromfile(sample_rec, offset=start, length=length)
#
# res.append({'offset':r,
# '1':r - du.lag_upsampling(s2, s1, n_up=1),
# '2':r - du.lag_upsampling(s2, s1, n_up=2),
# '3':r - du.lag_upsampling(s2, s1, n_up=3),
# '4':r - du.lag_upsampling(s2, s1, n_up=4),
# '8':r - du.lag_upsampling(s2, s1, n_up=8),
# '16':r - du.lag_upsampling(s2, s1, n_up=16),
# '32':r - du.lag_upsampling(s2, s1, n_up=32),
# })
# df = pd.DataFrame(res)
# df = df.reindex_axis(sorted(df.columns), axis=1)
# print(df.describe())
#
#
#print("Align using upsampling")
#for n_up in [1, 2, 3, 4, 7, 8, 16]:
# correct_ratio = test_phase_offset(lambda x,y: du.lag_upsampling(x,y,n_up), tol=1./n_up)
# print("%.1f%% of the tested offsets were measured within tolerance %.4f for n_up = %d" % (correct_ratio * 100, 1./n_up, n_up))
#test_using_aligned_pair()
#
#print("Phase alignment")
#test_subsample_alignment()
# The MIT License (MIT)
#
# Copyright (c) 2017 Andreas Steger
#
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the "Software"), to deal
# in the Software without restriction, including without limitation the rights
# to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
# copies of the Software, and to permit persons to whom the Software is
# furnished to do so, subject to the following conditions:
#
# The above copyright notice and this permission notice shall be included in all
# copies or substantial portions of the Software.
#
# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
# IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
# FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
# AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
# LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
# OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
# SOFTWARE.
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