Mercurial > hg > svcore
view base/test/TestScaleTickIntervals.h @ 1520:954d0cf29ca7 import-audio-data
Switch the normalisation option in WritableWaveFileModel from normalising on read to normalising on write, so that the saved file is already normalised and therefore can be read again without having to remember to normalise it
author | Chris Cannam |
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date | Wed, 12 Sep 2018 13:56:56 +0100 |
parents | 2b2b58ae8b59 |
children |
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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) { 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 { double eps = fuzzier ? 1e-5 : 1e-10; double diff = fabs(ticks[i].value - expected[i].value); double limit = max(eps, fabs(ticks[i].value) * eps); if (diff > limit) { 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, "0.0" } }; 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, "0.0" }, }; compareTicks(ticks, expected); } void linear_0_1_m1() { // senseless input auto ticks = ScaleTickIntervals::linear({ 0, 1, -1 }); ScaleTickIntervals::Ticks expected { { 0.0, "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" }, { 3.2, "3.2" }, { 10.0, "10" }, }; 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, "1000" }, { 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, "0.50" }, { 1, "1.0" }, { 2, "2.0" }, { 4, "4.0" }, { 8, "8.0" }, { 16, "16" }, { 32, "32" }, { 64, "64" }, { 130, "130" }, { 260, "260" }, { 510, "510" }, }; compareTicks(ticks, expected); } void log_1_10k_10() { auto ticks = ScaleTickIntervals::logarithmic({ 1.0, 10000.0, 10 }); ScaleTickIntervals::Ticks expected { { 1.0, "1.0" }, { 2.5, "2.5" }, { 6.3, "6.3" }, { 16.0, "16" }, { 40.0, "40" }, { 100.0, "100" }, { 250.0, "250" }, { 630.0, "630" }, { 1600.0, "1600" }, { 4000.0, "4000" }, { 10000.0, "1e+04" }, }; compareTicks(ticks, expected, true); } void log_80_10k_6() { auto ticks = ScaleTickIntervals::logarithmic({ 80.0, 10000.0, 6 }); ScaleTickIntervals::Ticks expected { { 130, "130" }, { 260, "260" }, { 510, "510" }, { 1000, "1000" }, { 2000, "2000" }, { 4100, "4100" }, { 8200, "8200" } }; compareTicks(ticks, expected, true); } void log_80_800k_10() { auto ticks = ScaleTickIntervals::logarithmic({ 80.0, 800000.0, 10 }); ScaleTickIntervals::Ticks expected { { 100, "100" }, { 250, "250" }, { 630, "630" }, { 1600, "1600" }, { 4000, "4000" }, { 10000, "1e+04" }, { 25000, "2.5e+04" }, { 63000, "6.3e+04" }, { 160000, "1.6e+05" }, { 400000, "4e+05" }, }; compareTicks(ticks, expected, true); } void log_0_1_0() { // senseless input auto ticks = ScaleTickIntervals::logarithmic({ 0, 1, 0 }); ScaleTickIntervals::Ticks expected { }; compareTicks(ticks, expected); } void log_0_1_m1() { // senseless input auto ticks = ScaleTickIntervals::logarithmic({ 0, 1, -1 }); ScaleTickIntervals::Ticks expected { }; compareTicks(ticks, expected); } }; #endif