1a8dcce84f
Remove stratum from the NTP sample and update it together with the leap status. This enables a faster update when samples are dropped by the NTP filters.
116 lines
4 KiB
C
116 lines
4 KiB
C
/*
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**********************************************************************
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* Copyright (C) Miroslav Lichvar 2018
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*
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* This program is free software; you can redistribute it and/or modify
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* it under the terms of version 2 of the GNU General Public License as
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* published by the Free Software Foundation.
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*
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* This program is distributed in the hope that it will be useful, but
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* WITHOUT ANY WARRANTY; without even the implied warranty of
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* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
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* General Public License for more details.
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*
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* You should have received a copy of the GNU General Public License along
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* with this program; if not, write to the Free Software Foundation, Inc.,
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* 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301, USA.
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*
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**********************************************************************
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*/
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#include <local.h>
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#include "test.h"
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#define LCL_GetSysPrecisionAsQuantum() (1.0e-6)
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#include <samplefilt.c>
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void
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test_unit(void)
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{
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NTP_Sample sample_in, sample_out;
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SPF_Instance filter;
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int i, j, k, sum_count, min_samples, max_samples;
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double mean, combine_ratio, sum_err;
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LCL_Initialise();
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memset(&sample_in, 0, sizeof (sample_in));
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memset(&sample_out, 0, sizeof (sample_out));
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for (i = 0; i <= 100; i++) {
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max_samples = random() % 20 + 1;
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min_samples = random() % (max_samples) + 1;
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combine_ratio = TST_GetRandomDouble(0.0, 1.0);
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filter = SPF_CreateInstance(min_samples, max_samples, 2.0, combine_ratio);
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for (j = 0, sum_count = 0, sum_err = 0.0; j < 100; j++) {
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DEBUG_LOG("iteration %d/%d", i, j);
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mean = TST_GetRandomDouble(-1.0e3, 1.0e3);
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UTI_ZeroTimespec(&sample_in.time);
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for (k = 0; k < 100; k++) {
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UTI_AddDoubleToTimespec(&sample_in.time, TST_GetRandomDouble(1.0e-1, 1.0e2),
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&sample_in.time);
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sample_in.offset = mean + TST_GetRandomDouble(-1.0, 1.0);
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sample_in.peer_dispersion = TST_GetRandomDouble(1.0e-4, 2.0e-4);
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sample_in.root_dispersion = TST_GetRandomDouble(1.0e-3, 2.0e-3);
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sample_in.peer_delay = TST_GetRandomDouble(1.0e-2, 2.0e-2);
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sample_in.root_delay = TST_GetRandomDouble(1.0e-1, 2.0e-1);
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TEST_CHECK(SPF_AccumulateSample(filter, &sample_in));
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TEST_CHECK(!SPF_AccumulateSample(filter, &sample_in));
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TEST_CHECK(SPF_GetNumberOfSamples(filter) == MIN(k + 1, max_samples));
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SPF_GetLastSample(filter, &sample_out);
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TEST_CHECK(!memcmp(&sample_in, &sample_out, sizeof (sample_in)));
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SPF_SlewSamples(filter, &sample_in.time, 0.0, 0.0);
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SPF_AddDispersion(filter, 0.0);
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if (k + 1 < min_samples)
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TEST_CHECK(!SPF_GetFilteredSample(filter, &sample_out));
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TEST_CHECK(SPF_GetNumberOfSamples(filter) == MIN(k + 1, max_samples));
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}
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if (random() % 10) {
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TEST_CHECK(SPF_GetFilteredSample(filter, &sample_out));
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TEST_CHECK(SPF_GetAvgSampleDispersion(filter) <= 2.0);
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sum_err += sample_out.offset - mean;
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sum_count++;
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TEST_CHECK(UTI_CompareTimespecs(&sample_out.time, &sample_in.time) <= 0 &&
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sample_out.time.tv_sec >= 0);
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TEST_CHECK(fabs(sample_out.offset - mean) <= 1.0);
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TEST_CHECK(sample_out.peer_dispersion >= 1.0e-4 &&
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(sample_out.peer_dispersion <= 2.0e-4 || filter->max_samples > 1));
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TEST_CHECK(sample_out.root_dispersion >= 1.0e-3 &&
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(sample_out.root_dispersion <= 2.0e-3 || filter->max_samples > 1));
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TEST_CHECK(sample_out.peer_delay >= 1.0e-2 &&
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sample_out.peer_delay <= 2.0e-2);
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TEST_CHECK(sample_out.root_delay >= 1.0e-1 &&
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sample_out.root_delay <= 2.0e-1);
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if (max_samples == 1)
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TEST_CHECK(!memcmp(&sample_in, &sample_out, sizeof (sample_in)));
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} else {
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SPF_DropSamples(filter);
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}
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TEST_CHECK(SPF_GetNumberOfSamples(filter) == 0);
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}
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TEST_CHECK(fabs(sum_err / sum_count) < 0.3);
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SPF_DestroyInstance(filter);
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}
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LCL_Finalise();
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}
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