3b9c432920
Add tests for small inter quantile mean ranges. As these cases fail at the moment, mark the test as should_fail. Signed-off-by: Stefan Klug <stefan.klug@ideasonboard.com> Reviewed-by: Kieran Bingham <kieran.bingham@ideasonboard.com> Reviewed-by: Laurent Pinchart <laurent.pinchart@ideasonboard.com>
66 lines
1.6 KiB
C++
66 lines
1.6 KiB
C++
/* SPDX-License-Identifier: GPL-2.0-or-later */
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/*
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* Copyright (C) 2024, Ideas on Board Oy
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*
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* Histogram tests
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*/
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#include "../src/ipa/libipa/histogram.h"
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#include <cmath>
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#include <iostream>
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#include <map>
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#include <stdint.h>
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#include "test.h"
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using namespace std;
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using namespace libcamera;
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using namespace ipa;
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#define ASSERT_EQ(a, b) \
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if (!((a) == (b))) { \
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std::cout << #a " != " #b << std::endl; \
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return TestFail; \
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}
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class HistogramTest : public Test
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{
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protected:
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int run()
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{
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auto hist = Histogram({ { 50, 50 } });
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ASSERT_EQ(hist.bins(), 2);
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ASSERT_EQ(hist.total(), 100);
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ASSERT_EQ(hist.cumulativeFrequency(1.0), 50);
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ASSERT_EQ(hist.cumulativeFrequency(1.5), 75);
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ASSERT_EQ(hist.cumulativeFrequency(2.0), 100);
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ASSERT_EQ(hist.quantile(0.0), 0.0);
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ASSERT_EQ(hist.quantile(1.0), 2.0);
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ASSERT_EQ(hist.quantile(0.5), 1.0);
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/* Test quantile in the middle of a bin. */
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ASSERT_EQ(hist.quantile(0.75), 1.5);
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/* Test quantile smaller than the smallest histogram step. */
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ASSERT_EQ(hist.quantile(0.001), 0.002);
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ASSERT_EQ(hist.interQuantileMean(0.0, 1.0), 1.0);
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ASSERT_EQ(hist.interQuantileMean(0.0, 0.5), 0.5);
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ASSERT_EQ(hist.interQuantileMean(0.5, 1.0), 1.5);
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/* Test interquantile mean that starts and ends in the middle of a bin. */
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ASSERT_EQ(hist.interQuantileMean(0.25, 0.75), 1.0);
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/* Test small ranges at the borders of the histogram. */
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ASSERT_EQ(hist.interQuantileMean(0.0, 0.1), 0.1);
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ASSERT_EQ(hist.interQuantileMean(0.9, 1.0), 1.9);
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return TestPass;
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}
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};
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TEST_REGISTER(HistogramTest)
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