blob: 513ff2c465ecd7f7ba29395a98e7258e63bdcf05 [file] [log] [blame]
/*
**********************************************************************
* Copyright (C) Miroslav Lichvar 2018
*
* This program is free software; you can redistribute it and/or modify
* it under the terms of version 2 of the GNU General Public License as
* published by the Free Software Foundation.
*
* This program is distributed in the hope that it will be useful, but
* WITHOUT ANY WARRANTY; without even the implied warranty of
* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
* General Public License for more details.
*
* You should have received a copy of the GNU General Public License along
* with this program; if not, write to the Free Software Foundation, Inc.,
* 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301, USA.
*
**********************************************************************
*/
#include <local.h>
#include "test.h"
#define LCL_GetSysPrecisionAsQuantum() (1.0e-6)
#include <samplefilt.c>
void
test_unit(void)
{
NTP_Sample sample_in, sample_out;
SPF_Instance filter;
int i, j, k, sum_count, min_samples, max_samples;
double mean, combine_ratio, sum_err;
LCL_Initialise();
memset(&sample_in, 0, sizeof (sample_in));
memset(&sample_out, 0, sizeof (sample_out));
for (i = 0; i <= 100; i++) {
max_samples = random() % 20 + 1;
min_samples = random() % (max_samples) + 1;
combine_ratio = TST_GetRandomDouble(0.0, 1.0);
filter = SPF_CreateInstance(min_samples, max_samples, 2.0, combine_ratio);
for (j = 0, sum_count = 0, sum_err = 0.0; j < 100; j++) {
DEBUG_LOG("iteration %d/%d", i, j);
mean = TST_GetRandomDouble(-1.0e3, 1.0e3);
UTI_ZeroTimespec(&sample_in.time);
for (k = 0; k < 100; k++) {
UTI_AddDoubleToTimespec(&sample_in.time, TST_GetRandomDouble(1.0e-1, 1.0e2),
&sample_in.time);
sample_in.offset = mean + TST_GetRandomDouble(-1.0, 1.0);
sample_in.peer_dispersion = TST_GetRandomDouble(1.0e-4, 2.0e-4);
sample_in.root_dispersion = TST_GetRandomDouble(1.0e-3, 2.0e-3);
sample_in.peer_delay = TST_GetRandomDouble(1.0e-2, 2.0e-2);
sample_in.root_delay = TST_GetRandomDouble(1.0e-1, 2.0e-1);
TEST_CHECK(SPF_AccumulateSample(filter, &sample_in));
TEST_CHECK(!SPF_AccumulateSample(filter, &sample_in));
TEST_CHECK(SPF_GetNumberOfSamples(filter) == MIN(k + 1, max_samples));
SPF_GetLastSample(filter, &sample_out);
TEST_CHECK(!memcmp(&sample_in, &sample_out, sizeof (sample_in)));
SPF_SlewSamples(filter, &sample_in.time, 0.0, 0.0);
SPF_AddDispersion(filter, 0.0);
if (k + 1 < min_samples)
TEST_CHECK(!SPF_GetFilteredSample(filter, &sample_out));
TEST_CHECK(SPF_GetNumberOfSamples(filter) == MIN(k + 1, max_samples));
}
if (random() % 10) {
TEST_CHECK(SPF_GetFilteredSample(filter, &sample_out));
TEST_CHECK(SPF_GetAvgSampleDispersion(filter) <= 2.0);
sum_err += sample_out.offset - mean;
sum_count++;
TEST_CHECK(UTI_CompareTimespecs(&sample_out.time, &sample_in.time) <= 0 &&
sample_out.time.tv_sec >= 0);
TEST_CHECK(fabs(sample_out.offset - mean) <= 1.0);
TEST_CHECK(sample_out.peer_dispersion >= 1.0e-4 &&
(sample_out.peer_dispersion <= 2.0e-4 || filter->max_samples > 1));
TEST_CHECK(sample_out.root_dispersion >= 1.0e-3 &&
(sample_out.root_dispersion <= 2.0e-3 || filter->max_samples > 1));
TEST_CHECK(sample_out.peer_delay >= 1.0e-2 &&
sample_out.peer_delay <= 2.0e-2);
TEST_CHECK(sample_out.root_delay >= 1.0e-1 &&
sample_out.root_delay <= 2.0e-1);
if (max_samples == 1)
TEST_CHECK(!memcmp(&sample_in, &sample_out, sizeof (sample_in)));
} else {
SPF_DropSamples(filter);
}
TEST_CHECK(SPF_GetNumberOfSamples(filter) == 0);
}
TEST_CHECK(fabs(sum_err / sum_count) < 0.3);
SPF_DestroyInstance(filter);
}
LCL_Finalise();
}