Mercurial > hg > svcore
view base/test/TestScaleTickIntervals.h @ 1450:a12fd0456f0c streaming-csv-writer
Merge from default branch
author | Chris Cannam |
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date | Tue, 17 Apr 2018 10:35:42 +0100 |
parents | 48e9f538e6e9 |
children | 3a128665fa6f |
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/* -*- c-basic-offset: 4 indent-tabs-mode: nil -*- vi:set ts=8 sts=4 sw=4: */ /* Sonic Visualiser An audio file viewer and annotation editor. Centre for Digital Music, Queen Mary, University of London. This program is free software; you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation; either version 2 of the License, or (at your option) any later version. See the file COPYING included with this distribution for more information. */ #ifndef TEST_SCALE_TICK_INTERVALS_H #define TEST_SCALE_TICK_INTERVALS_H #include "../ScaleTickIntervals.h" #include <QObject> #include <QtTest> #include <QDir> #include <iostream> using namespace std; class TestScaleTickIntervals : public QObject { Q_OBJECT void printDiff(vector<ScaleTickIntervals::Tick> ticks, vector<ScaleTickIntervals::Tick> expected) { SVCERR << "Have " << ticks.size() << " ticks, expected " << expected.size() << endl; for (int i = 0; i < int(ticks.size()); ++i) { SVCERR << i << ": have " << ticks[i].value << " \"" << ticks[i].label << "\", expected "; if (i < int(expected.size())) { SVCERR << expected[i].value << " \"" << expected[i].label << "\"" << endl; } else { SVCERR << "(n/a)" << endl; } } } void compareTicks(ScaleTickIntervals::Ticks ticks, ScaleTickIntervals::Ticks expected, bool fuzzier = false) { double eps = 1e-7; for (int i = 0; i < int(expected.size()); ++i) { if (i < int(ticks.size())) { bool pass = true; if (ticks[i].label != expected[i].label) { pass = false; } else if (!fuzzier) { if (fabs(ticks[i].value - expected[i].value) > eps) { pass = false; } } else { if (fabs(ticks[i].value - expected[i].value) > fabs(ticks[i].value) * 1e-5) { pass = false; } } if (!pass) { printDiff(ticks, expected); QCOMPARE(ticks[i].label, expected[i].label); QCOMPARE(ticks[i].value, expected[i].value); } } } if (ticks.size() != expected.size()) { printDiff(ticks, expected); } QCOMPARE(ticks.size(), expected.size()); } private slots: void linear_0_1_10() { auto ticks = ScaleTickIntervals::linear({ 0, 1, 10 }); ScaleTickIntervals::Ticks expected { { 0.0, "0.0" }, { 0.1, "0.1" }, { 0.2, "0.2" }, { 0.3, "0.3" }, { 0.4, "0.4" }, { 0.5, "0.5" }, { 0.6, "0.6" }, { 0.7, "0.7" }, { 0.8, "0.8" }, { 0.9, "0.9" }, { 1.0, "1.0" } }; compareTicks(ticks, expected); } void linear_0_5_5() { auto ticks = ScaleTickIntervals::linear({ 0, 5, 5 }); ScaleTickIntervals::Ticks expected { { 0, "0" }, { 1, "1" }, { 2, "2" }, { 3, "3" }, { 4, "4" }, { 5, "5" }, }; compareTicks(ticks, expected); } void linear_0_10_5() { auto ticks = ScaleTickIntervals::linear({ 0, 10, 5 }); ScaleTickIntervals::Ticks expected { { 0, "0" }, { 2, "2" }, { 4, "4" }, { 6, "6" }, { 8, "8" }, { 10, "10" } }; compareTicks(ticks, expected); } void linear_10_0_5() { auto ticks = ScaleTickIntervals::linear({ 10, 0, 5 }); ScaleTickIntervals::Ticks expected { { 0, "0" }, { 2, "2" }, { 4, "4" }, { 6, "6" }, { 8, "8" }, { 10, "10" } }; compareTicks(ticks, expected); } void linear_m10_0_5() { auto ticks = ScaleTickIntervals::linear({ -10, 0, 5 }); ScaleTickIntervals::Ticks expected { { -10, "-10" }, { -8, "-8" }, { -6, "-6" }, { -4, "-4" }, { -2, "-2" }, { 0, "0" } }; compareTicks(ticks, expected); } void linear_0_m10_5() { auto ticks = ScaleTickIntervals::linear({ 0, -10, 5 }); ScaleTickIntervals::Ticks expected { { -10, "-10" }, { -8, "-8" }, { -6, "-6" }, { -4, "-4" }, { -2, "-2" }, { 0, "0" } }; compareTicks(ticks, expected); } void linear_0_0p1_5() { auto ticks = ScaleTickIntervals::linear({ 0, 0.1, 5 }); ScaleTickIntervals::Ticks expected { { 0.00, "0.00" }, { 0.02, "0.02" }, { 0.04, "0.04" }, { 0.06, "0.06" }, { 0.08, "0.08" }, { 0.10, "0.10" } }; compareTicks(ticks, expected); } void linear_0_0p01_5() { auto ticks = ScaleTickIntervals::linear({ 0, 0.01, 5 }); ScaleTickIntervals::Ticks expected { { 0.000, "0.000" }, { 0.002, "0.002" }, { 0.004, "0.004" }, { 0.006, "0.006" }, { 0.008, "0.008" }, { 0.010, "0.010" } }; compareTicks(ticks, expected); } void linear_0_0p005_5() { auto ticks = ScaleTickIntervals::linear({ 0, 0.005, 5 }); ScaleTickIntervals::Ticks expected { { 0.000, "0.000" }, { 0.001, "0.001" }, { 0.002, "0.002" }, { 0.003, "0.003" }, { 0.004, "0.004" }, { 0.005, "0.005" } }; compareTicks(ticks, expected); } void linear_0_0p001_5() { auto ticks = ScaleTickIntervals::linear({ 0, 0.001, 5 }); ScaleTickIntervals::Ticks expected { { 0.0000, "0.0e+00" }, { 0.0002, "2.0e-04" }, { 0.0004, "4.0e-04" }, { 0.0006, "6.0e-04" }, { 0.0008, "8.0e-04" }, { 0.0010, "1.0e-03" } }; compareTicks(ticks, expected); } void linear_1_1p001_5() { auto ticks = ScaleTickIntervals::linear({ 1, 1.001, 5 }); ScaleTickIntervals::Ticks expected { { 1.0000, "1.0000" }, { 1.0002, "1.0002" }, { 1.0004, "1.0004" }, { 1.0006, "1.0006" }, { 1.0008, "1.0008" }, { 1.0010, "1.0010" } }; compareTicks(ticks, expected); } void linear_0p001_1_5() { auto ticks = ScaleTickIntervals::linear({ 0.001, 1, 5 }); ScaleTickIntervals::Ticks expected { { 0.1, "0.1" }, { 0.3, "0.3" }, { 0.5, "0.5" }, { 0.7, "0.7" }, { 0.9, "0.9" }, }; compareTicks(ticks, expected); } void linear_10000_10010_5() { auto ticks = ScaleTickIntervals::linear({ 10000, 10010, 5 }); ScaleTickIntervals::Ticks expected { { 10000, "10000" }, { 10002, "10002" }, { 10004, "10004" }, { 10006, "10006" }, { 10008, "10008" }, { 10010, "10010" }, }; compareTicks(ticks, expected); } void linear_10000_20000_5() { auto ticks = ScaleTickIntervals::linear({ 10000, 20000, 5 }); ScaleTickIntervals::Ticks expected { { 10000, "10000" }, { 12000, "12000" }, { 14000, "14000" }, { 16000, "16000" }, { 18000, "18000" }, { 20000, "20000" }, }; compareTicks(ticks, expected); } void linear_m1_1_10() { auto ticks = ScaleTickIntervals::linear({ -1, 1, 10 }); ScaleTickIntervals::Ticks expected { { -1.0, "-1.0" }, { -0.8, "-0.8" }, { -0.6, "-0.6" }, { -0.4, "-0.4" }, { -0.2, "-0.2" }, { 0.0, "0.0" }, { 0.2, "0.2" }, { 0.4, "0.4" }, { 0.6, "0.6" }, { 0.8, "0.8" }, { 1.0, "1.0" } }; compareTicks(ticks, expected); } void linear_221p23_623p7_57p4() { auto ticks = ScaleTickIntervals::linear({ 221.23, 623.7, 4 }); // only 4 ticks, not 5, because none of the rounded tick // values lies on an end value ScaleTickIntervals::Ticks expected { { 300, "300" }, { 400, "400" }, { 500, "500" }, { 600, "600" }, }; compareTicks(ticks, expected); } void linear_sqrt2_pi_7() { auto ticks = ScaleTickIntervals::linear({ sqrt(2.0), M_PI, 7 }); // This would be better in steps of 0.25, but we only round to // integral powers of ten ScaleTickIntervals::Ticks expected { { 1.5, "1.5" }, { 1.7, "1.7" }, { 1.9, "1.9" }, { 2.1, "2.1" }, { 2.3, "2.3" }, { 2.5, "2.5" }, { 2.7, "2.7" }, { 2.9, "2.9" }, { 3.1, "3.1" }, }; compareTicks(ticks, expected); } void linear_pi_avogadro_7() { auto ticks = ScaleTickIntervals::linear({ M_PI, 6.022140857e23, 7 }); ScaleTickIntervals::Ticks expected { // not perfect, but ok-ish { 0, "0.0e+00" }, { 9e+22, "9.0e+22" }, { 1.8e+23, "1.8e+23" }, { 2.7e+23, "2.7e+23" }, { 3.6e+23, "3.6e+23" }, { 4.5e+23, "4.5e+23" }, { 5.4e+23, "5.4e+23" }, }; compareTicks(ticks, expected); } void linear_2_3_1() { auto ticks = ScaleTickIntervals::linear({ 2, 3, 1 }); ScaleTickIntervals::Ticks expected { { 2.0, "2" }, { 3.0, "3" } }; compareTicks(ticks, expected); } void linear_2_3_2() { auto ticks = ScaleTickIntervals::linear({ 2, 3, 2 }); ScaleTickIntervals::Ticks expected { { 2.0, "2.0" }, { 2.5, "2.5" }, { 3.0, "3.0" } }; compareTicks(ticks, expected); } void linear_2_3_3() { auto ticks = ScaleTickIntervals::linear({ 2, 3, 3 }); ScaleTickIntervals::Ticks expected { { 2.0, "2.0" }, { 2.3, "2.3" }, { 2.6, "2.6" }, { 2.9, "2.9" } }; compareTicks(ticks, expected); } void linear_2_3_4() { auto ticks = ScaleTickIntervals::linear({ 2, 3, 4 }); // This would be better in steps of 0.25, but we only round to // integral powers of ten ScaleTickIntervals::Ticks expected { { 2.0, "2.0" }, { 2.3, "2.3" }, { 2.6, "2.6" }, { 2.9, "2.9" } }; compareTicks(ticks, expected); } void linear_2_3_5() { auto ticks = ScaleTickIntervals::linear({ 2, 3, 5 }); ScaleTickIntervals::Ticks expected { { 2.0, "2.0" }, { 2.2, "2.2" }, { 2.4, "2.4" }, { 2.6, "2.6" }, { 2.8, "2.8" }, { 3.0, "3.0" } }; compareTicks(ticks, expected); } void linear_2_3_6() { auto ticks = ScaleTickIntervals::linear({ 2, 3, 6 }); ScaleTickIntervals::Ticks expected { { 2.0, "2.0" }, { 2.2, "2.2" }, { 2.4, "2.4" }, { 2.6, "2.6" }, { 2.8, "2.8" }, { 3.0, "3.0" } }; compareTicks(ticks, expected); } void linear_1_1_10() { // pathological range auto ticks = ScaleTickIntervals::linear({ 1, 1, 10 }); ScaleTickIntervals::Ticks expected { { 1.0, "1" } }; compareTicks(ticks, expected); } void linear_0_0_10() { // pathological range auto ticks = ScaleTickIntervals::linear({ 0, 0, 10 }); ScaleTickIntervals::Ticks expected { { 0.0, "0" } }; compareTicks(ticks, expected); } void linear_0_1_1() { auto ticks = ScaleTickIntervals::linear({ 0, 1, 1 }); ScaleTickIntervals::Ticks expected { { 0.0, "0" }, { 1.0, "1" } }; compareTicks(ticks, expected); } void linear_0_1_0() { // senseless input auto ticks = ScaleTickIntervals::linear({ 0, 1, 0 }); ScaleTickIntervals::Ticks expected { { 0.0, "0" }, }; compareTicks(ticks, expected); } void linear_0_1_m1() { // senseless input auto ticks = ScaleTickIntervals::linear({ 0, 1, -1 }); ScaleTickIntervals::Ticks expected { { 0.0, "0" }, }; compareTicks(ticks, expected); } void linear_0p465_778_10() { // a case that gave unsatisfactory results in real life // (initially it had the first tick at 1) auto ticks = ScaleTickIntervals::linear({ 0.465, 778.08, 10 }); ScaleTickIntervals::Ticks expected { { 10, "10" }, { 90, "90" }, { 170, "170" }, { 250, "250" }, { 330, "330" }, { 410, "410" }, { 490, "490" }, { 570, "570" }, { 650, "650" }, { 730, "730" }, }; compareTicks(ticks, expected); } void log_1_10_2() { auto ticks = ScaleTickIntervals::logarithmic({ 1, 10, 2 }); ScaleTickIntervals::Ticks expected { { 1.0, "1.0" }, { pow(10.0, 0.5), "3.2" }, { 10.0, "10.0" }, }; compareTicks(ticks, expected); } void log_0_10_2() { auto ticks = ScaleTickIntervals::logarithmic({ 0, 10, 2 }); ScaleTickIntervals::Ticks expected { { 1e-6, "1e-06" }, { 1, "1" }, }; compareTicks(ticks, expected); } void log_pi_avogadro_7() { auto ticks = ScaleTickIntervals::logarithmic({ M_PI, 6.022140857e23, 7 }); ScaleTickIntervals::Ticks expected { { 1000, "1e+03" }, { 1e+06, "1e+06" }, { 1e+09, "1e+09" }, { 1e+12, "1e+12" }, { 1e+15, "1e+15" }, { 1e+18, "1e+18" }, { 1e+21, "1e+21" }, }; compareTicks(ticks, expected, true); } void log_0p465_778_10() { auto ticks = ScaleTickIntervals::logarithmic({ 0.465, 778.08, 10 }); ScaleTickIntervals::Ticks expected { { 0.5, "0.5" }, { 1, "1.0" }, { 2, "2.0" }, { 4, "4.0" }, { 8, "8.0" }, { 16, "16.0" }, { 32, "32.0" }, { 64, "64.0" }, { 128, "128.0" }, { 256, "256.0" }, { 512, "512.0" }, }; compareTicks(ticks, expected); } }; #endif