Austin Schuh | 70cc955 | 2019-01-21 19:46:48 -0800 | [diff] [blame] | 1 | // Ceres Solver - A fast non-linear least squares minimizer |
| 2 | // Copyright 2015 Google Inc. All rights reserved. |
| 3 | // http://ceres-solver.org/ |
| 4 | // |
| 5 | // Redistribution and use in source and binary forms, with or without |
| 6 | // modification, are permitted provided that the following conditions are met: |
| 7 | // |
| 8 | // * Redistributions of source code must retain the above copyright notice, |
| 9 | // this list of conditions and the following disclaimer. |
| 10 | // * Redistributions in binary form must reproduce the above copyright notice, |
| 11 | // this list of conditions and the following disclaimer in the documentation |
| 12 | // and/or other materials provided with the distribution. |
| 13 | // * Neither the name of Google Inc. nor the names of its contributors may be |
| 14 | // used to endorse or promote products derived from this software without |
| 15 | // specific prior written permission. |
| 16 | // |
| 17 | // THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" |
| 18 | // AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE |
| 19 | // IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE |
| 20 | // ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE |
| 21 | // LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR |
| 22 | // CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF |
| 23 | // SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS |
| 24 | // INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN |
| 25 | // CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) |
| 26 | // ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE |
| 27 | // POSSIBILITY OF SUCH DAMAGE. |
| 28 | // |
| 29 | // Author: dgossow@google.com (David Gossow) |
| 30 | // |
| 31 | // This file contains tests for the IsClose function. |
| 32 | |
| 33 | #include "ceres/is_close.h" |
Austin Schuh | 1d1e6ea | 2020-12-23 21:56:30 -0800 | [diff] [blame^] | 34 | |
Austin Schuh | 70cc955 | 2019-01-21 19:46:48 -0800 | [diff] [blame] | 35 | #include "gtest/gtest.h" |
| 36 | |
| 37 | namespace ceres { |
| 38 | namespace internal { |
| 39 | |
| 40 | const double kTolerance = 1e-9; |
| 41 | |
| 42 | TEST(IsClose, BothParametersPositive) { |
| 43 | double relative_error = -1; |
| 44 | double absolute_error = -1; |
| 45 | |
| 46 | // Test cases where both values are positive. |
| 47 | EXPECT_TRUE(IsClose(9.9, 10.0, 0.011, &relative_error, &absolute_error)); |
| 48 | EXPECT_NEAR(relative_error, 0.01, kTolerance); |
| 49 | EXPECT_NEAR(absolute_error, 0.1, kTolerance); |
| 50 | relative_error = -1; |
| 51 | absolute_error = -1; |
| 52 | EXPECT_TRUE(IsClose(10.0, 9.9, 0.011, &relative_error, &absolute_error)); |
| 53 | EXPECT_NEAR(relative_error, 0.01, kTolerance); |
| 54 | EXPECT_NEAR(absolute_error, 0.1, kTolerance); |
| 55 | relative_error = -1; |
| 56 | absolute_error = -1; |
| 57 | |
| 58 | EXPECT_FALSE(IsClose(9.9, 10.0, 0.009, &relative_error, &absolute_error)); |
| 59 | EXPECT_NEAR(relative_error, 0.01, kTolerance); |
| 60 | EXPECT_NEAR(absolute_error, 0.1, kTolerance); |
| 61 | relative_error = -1; |
| 62 | absolute_error = -1; |
| 63 | EXPECT_FALSE(IsClose(10.0, 9.9, 0.009, &relative_error, &absolute_error)); |
| 64 | EXPECT_NEAR(relative_error, 0.01, kTolerance); |
| 65 | EXPECT_NEAR(absolute_error, 0.1, kTolerance); |
| 66 | } |
| 67 | |
| 68 | TEST(IsClose, BothParametersNegative) { |
| 69 | double relative_error = -1; |
| 70 | double absolute_error = -1; |
| 71 | |
| 72 | // Test cases where both values are negative. |
| 73 | EXPECT_TRUE(IsClose(-9.9, -10.0, 0.011, &relative_error, &absolute_error)); |
| 74 | EXPECT_NEAR(relative_error, 0.01, kTolerance); |
| 75 | EXPECT_NEAR(absolute_error, 0.1, kTolerance); |
| 76 | relative_error = -1; |
| 77 | absolute_error = -1; |
| 78 | EXPECT_TRUE(IsClose(-10.0, -9.9, 0.011, &relative_error, &absolute_error)); |
| 79 | EXPECT_NEAR(relative_error, 0.01, kTolerance); |
| 80 | EXPECT_NEAR(absolute_error, 0.1, kTolerance); |
| 81 | relative_error = -1; |
| 82 | absolute_error = -1; |
| 83 | |
| 84 | EXPECT_FALSE(IsClose(-9.9, -10.0, 0.009, &relative_error, &absolute_error)); |
| 85 | EXPECT_NEAR(relative_error, 0.01, kTolerance); |
| 86 | EXPECT_NEAR(absolute_error, 0.1, kTolerance); |
| 87 | relative_error = -1; |
| 88 | absolute_error = -1; |
| 89 | EXPECT_FALSE(IsClose(-10.0, -9.9, 0.009, &relative_error, &absolute_error)); |
| 90 | EXPECT_NEAR(relative_error, 0.01, kTolerance); |
| 91 | EXPECT_NEAR(absolute_error, 0.1, kTolerance); |
| 92 | } |
| 93 | |
| 94 | TEST(IsClose, ParametersHaveMixedSigns) { |
| 95 | double relative_error = -1; |
| 96 | double absolute_error = -1; |
| 97 | |
| 98 | // Test cases with mixed signs. |
| 99 | EXPECT_FALSE(IsClose(-0.1, 0.1, 1.99, &relative_error, &absolute_error)); |
| 100 | EXPECT_NEAR(relative_error, 2.0, kTolerance); |
| 101 | EXPECT_NEAR(absolute_error, 0.2, kTolerance); |
| 102 | relative_error = -1; |
| 103 | absolute_error = -1; |
| 104 | EXPECT_TRUE(IsClose(-0.1, 0.1, 2.01, &relative_error, &absolute_error)); |
| 105 | EXPECT_NEAR(relative_error, 2.0, kTolerance); |
| 106 | EXPECT_NEAR(absolute_error, 0.2, kTolerance); |
| 107 | relative_error = -1; |
| 108 | absolute_error = -1; |
| 109 | EXPECT_FALSE(IsClose(0.1, -0.1, 1.99, &relative_error, &absolute_error)); |
| 110 | EXPECT_NEAR(relative_error, 2.0, kTolerance); |
| 111 | EXPECT_NEAR(absolute_error, 0.2, kTolerance); |
| 112 | relative_error = -1; |
| 113 | absolute_error = -1; |
| 114 | EXPECT_TRUE(IsClose(0.1, -0.1, 2.01, &relative_error, &absolute_error)); |
| 115 | EXPECT_NEAR(relative_error, 2.0, kTolerance); |
| 116 | EXPECT_NEAR(absolute_error, 0.2, kTolerance); |
| 117 | } |
| 118 | |
| 119 | TEST(IsClose, OneParameterZero) { |
| 120 | double relative_error = -1; |
| 121 | double absolute_error = -1; |
| 122 | |
| 123 | // Test cases where one of the values is zero. |
| 124 | EXPECT_TRUE(IsClose(0.0, 10.0, 10.1, &relative_error, &absolute_error)); |
| 125 | EXPECT_NEAR(relative_error, 10.0, kTolerance); |
| 126 | EXPECT_NEAR(absolute_error, 10.0, kTolerance); |
| 127 | relative_error = -1; |
| 128 | absolute_error = -1; |
| 129 | EXPECT_TRUE(IsClose(10.0, 0.0, 10.1, &relative_error, &absolute_error)); |
| 130 | EXPECT_NEAR(relative_error, 10.0, kTolerance); |
| 131 | EXPECT_NEAR(absolute_error, 10.0, kTolerance); |
| 132 | relative_error = -1; |
| 133 | absolute_error = -1; |
| 134 | EXPECT_TRUE(IsClose(0.0, -10.0, 10.1, &relative_error, &absolute_error)); |
| 135 | EXPECT_NEAR(relative_error, 10.0, kTolerance); |
| 136 | EXPECT_NEAR(absolute_error, 10.0, kTolerance); |
| 137 | relative_error = -1; |
| 138 | absolute_error = -1; |
| 139 | EXPECT_TRUE(IsClose(-10.0, 0.0, 10.1, &relative_error, &absolute_error)); |
| 140 | EXPECT_NEAR(relative_error, 10.0, kTolerance); |
| 141 | EXPECT_NEAR(absolute_error, 10.0, kTolerance); |
| 142 | relative_error = -1; |
| 143 | absolute_error = -1; |
| 144 | |
| 145 | EXPECT_FALSE(IsClose(0, 10.0, 9.9, &relative_error, &absolute_error)); |
| 146 | EXPECT_NEAR(relative_error, 10.0, kTolerance); |
| 147 | EXPECT_NEAR(absolute_error, 10.0, kTolerance); |
| 148 | relative_error = -1; |
| 149 | absolute_error = -1; |
| 150 | EXPECT_FALSE(IsClose(10.0, 0.0, 9.9, &relative_error, &absolute_error)); |
| 151 | EXPECT_NEAR(relative_error, 10.0, kTolerance); |
| 152 | EXPECT_NEAR(absolute_error, 10.0, kTolerance); |
| 153 | relative_error = -1; |
| 154 | absolute_error = -1; |
| 155 | EXPECT_FALSE(IsClose(0, -10.0, 9.9, &relative_error, &absolute_error)); |
| 156 | EXPECT_NEAR(relative_error, 10.0, kTolerance); |
| 157 | EXPECT_NEAR(absolute_error, 10.0, kTolerance); |
| 158 | relative_error = -1; |
| 159 | absolute_error = -1; |
| 160 | EXPECT_FALSE(IsClose(-10.0, 0.0, 9.9, &relative_error, &absolute_error)); |
| 161 | EXPECT_NEAR(relative_error, 10.0, kTolerance); |
| 162 | EXPECT_NEAR(absolute_error, 10.0, kTolerance); |
| 163 | } |
| 164 | |
| 165 | TEST(IsClose, BothParametersZero) { |
| 166 | double relative_error = -1; |
| 167 | double absolute_error = -1; |
| 168 | EXPECT_TRUE(IsClose(0.0, 0.0, 0.1, &relative_error, &absolute_error)); |
| 169 | EXPECT_NEAR(relative_error, 0.0, kTolerance); |
| 170 | EXPECT_NEAR(absolute_error, 0.0, kTolerance); |
| 171 | relative_error = -1; |
| 172 | absolute_error = -1; |
| 173 | EXPECT_FALSE(IsClose(0.0, 0.0, 0.0, &relative_error, &absolute_error)); |
| 174 | EXPECT_NEAR(relative_error, 0.0, kTolerance); |
| 175 | EXPECT_NEAR(absolute_error, 0.0, kTolerance); |
| 176 | } |
| 177 | } // namespace internal |
| 178 | } // namespace ceres |