| 123456789101112131415161718192021222324252627282930313233343536373839404142434445464748495051525354555657585960616263646566676869707172737475767778798081828384858687888990919293949596979899100101102103104105106107108109110111112113114115116117118119120121122123124125126127128129130131132133134135136137138139140141142143144145146147148149150151152153154155156157158159160161162163164165166167168169170171172173174175176177178 | // Ceres Solver - A fast non-linear least squares minimizer// Copyright 2015 Google Inc. All rights reserved.// http://ceres-solver.org///// Redistribution and use in source and binary forms, with or without// modification, are permitted provided that the following conditions are met://// * Redistributions of source code must retain the above copyright notice,//   this list of conditions and the following disclaimer.// * Redistributions in binary form must reproduce the above copyright notice,//   this list of conditions and the following disclaimer in the documentation//   and/or other materials provided with the distribution.// * Neither the name of Google Inc. nor the names of its contributors may be//   used to endorse or promote products derived from this software without//   specific prior written permission.//// THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"// AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE// IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE// ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE// LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR// CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF// SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS// INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN// CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE)// ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE// POSSIBILITY OF SUCH DAMAGE.//// Author: dgossow@google.com (David Gossow)//// This file contains tests for the IsClose function.#include "ceres/is_close.h"#include "gtest/gtest.h"namespace ceres {namespace internal {const double kTolerance = 1e-9;TEST(IsClose, BothParametersPositive) {  double relative_error = -1;  double absolute_error = -1;  // Test cases where both values are positive.  EXPECT_TRUE(IsClose(9.9, 10.0, 0.011, &relative_error, &absolute_error));  EXPECT_NEAR(relative_error, 0.01, kTolerance);  EXPECT_NEAR(absolute_error, 0.1, kTolerance);  relative_error = -1;  absolute_error = -1;  EXPECT_TRUE(IsClose(10.0, 9.9, 0.011, &relative_error, &absolute_error));  EXPECT_NEAR(relative_error, 0.01, kTolerance);  EXPECT_NEAR(absolute_error, 0.1, kTolerance);  relative_error = -1;  absolute_error = -1;  EXPECT_FALSE(IsClose(9.9, 10.0, 0.009, &relative_error, &absolute_error));  EXPECT_NEAR(relative_error, 0.01, kTolerance);  EXPECT_NEAR(absolute_error, 0.1, kTolerance);  relative_error = -1;  absolute_error = -1;  EXPECT_FALSE(IsClose(10.0, 9.9, 0.009, &relative_error, &absolute_error));  EXPECT_NEAR(relative_error, 0.01, kTolerance);  EXPECT_NEAR(absolute_error, 0.1, kTolerance);}TEST(IsClose, BothParametersNegative) {  double relative_error = -1;  double absolute_error = -1;  // Test cases where both values are negative.  EXPECT_TRUE(IsClose(-9.9, -10.0, 0.011, &relative_error, &absolute_error));  EXPECT_NEAR(relative_error, 0.01, kTolerance);  EXPECT_NEAR(absolute_error, 0.1, kTolerance);  relative_error = -1;  absolute_error = -1;  EXPECT_TRUE(IsClose(-10.0, -9.9, 0.011, &relative_error, &absolute_error));  EXPECT_NEAR(relative_error, 0.01, kTolerance);  EXPECT_NEAR(absolute_error, 0.1, kTolerance);  relative_error = -1;  absolute_error = -1;  EXPECT_FALSE(IsClose(-9.9, -10.0, 0.009, &relative_error, &absolute_error));  EXPECT_NEAR(relative_error, 0.01, kTolerance);  EXPECT_NEAR(absolute_error, 0.1, kTolerance);  relative_error = -1;  absolute_error = -1;  EXPECT_FALSE(IsClose(-10.0, -9.9, 0.009, &relative_error, &absolute_error));  EXPECT_NEAR(relative_error, 0.01, kTolerance);  EXPECT_NEAR(absolute_error, 0.1, kTolerance);}TEST(IsClose, ParametersHaveMixedSigns) {  double relative_error = -1;  double absolute_error = -1;  // Test cases with mixed signs.  EXPECT_FALSE(IsClose(-0.1, 0.1, 1.99, &relative_error, &absolute_error));  EXPECT_NEAR(relative_error, 2.0, kTolerance);  EXPECT_NEAR(absolute_error, 0.2, kTolerance);  relative_error = -1;  absolute_error = -1;  EXPECT_TRUE(IsClose(-0.1, 0.1, 2.01, &relative_error, &absolute_error));  EXPECT_NEAR(relative_error, 2.0, kTolerance);  EXPECT_NEAR(absolute_error, 0.2, kTolerance);  relative_error = -1;  absolute_error = -1;  EXPECT_FALSE(IsClose(0.1, -0.1, 1.99, &relative_error, &absolute_error));  EXPECT_NEAR(relative_error, 2.0, kTolerance);  EXPECT_NEAR(absolute_error, 0.2, kTolerance);  relative_error = -1;  absolute_error = -1;  EXPECT_TRUE(IsClose(0.1, -0.1, 2.01, &relative_error, &absolute_error));  EXPECT_NEAR(relative_error, 2.0, kTolerance);  EXPECT_NEAR(absolute_error, 0.2, kTolerance);}TEST(IsClose, OneParameterZero) {  double relative_error = -1;  double absolute_error = -1;  // Test cases where one of the values is zero.  EXPECT_TRUE(IsClose(0.0, 10.0, 10.1, &relative_error, &absolute_error));  EXPECT_NEAR(relative_error, 10.0, kTolerance);  EXPECT_NEAR(absolute_error, 10.0, kTolerance);  relative_error = -1;  absolute_error = -1;  EXPECT_TRUE(IsClose(10.0, 0.0, 10.1, &relative_error, &absolute_error));  EXPECT_NEAR(relative_error, 10.0, kTolerance);  EXPECT_NEAR(absolute_error, 10.0, kTolerance);  relative_error = -1;  absolute_error = -1;  EXPECT_TRUE(IsClose(0.0, -10.0, 10.1, &relative_error, &absolute_error));  EXPECT_NEAR(relative_error, 10.0, kTolerance);  EXPECT_NEAR(absolute_error, 10.0, kTolerance);  relative_error = -1;  absolute_error = -1;  EXPECT_TRUE(IsClose(-10.0, 0.0, 10.1, &relative_error, &absolute_error));  EXPECT_NEAR(relative_error, 10.0, kTolerance);  EXPECT_NEAR(absolute_error, 10.0, kTolerance);  relative_error = -1;  absolute_error = -1;  EXPECT_FALSE(IsClose(0, 10.0, 9.9, &relative_error, &absolute_error));  EXPECT_NEAR(relative_error, 10.0, kTolerance);  EXPECT_NEAR(absolute_error, 10.0, kTolerance);  relative_error = -1;  absolute_error = -1;  EXPECT_FALSE(IsClose(10.0, 0.0, 9.9, &relative_error, &absolute_error));  EXPECT_NEAR(relative_error, 10.0, kTolerance);  EXPECT_NEAR(absolute_error, 10.0, kTolerance);  relative_error = -1;  absolute_error = -1;  EXPECT_FALSE(IsClose(0, -10.0, 9.9, &relative_error, &absolute_error));  EXPECT_NEAR(relative_error, 10.0, kTolerance);  EXPECT_NEAR(absolute_error, 10.0, kTolerance);  relative_error = -1;  absolute_error = -1;  EXPECT_FALSE(IsClose(-10.0, 0.0, 9.9, &relative_error, &absolute_error));  EXPECT_NEAR(relative_error, 10.0, kTolerance);  EXPECT_NEAR(absolute_error, 10.0, kTolerance);}TEST(IsClose, BothParametersZero) {  double relative_error = -1;  double absolute_error = -1;  EXPECT_TRUE(IsClose(0.0, 0.0, 0.1, &relative_error, &absolute_error));  EXPECT_NEAR(relative_error, 0.0, kTolerance);  EXPECT_NEAR(absolute_error, 0.0, kTolerance);  relative_error = -1;  absolute_error = -1;  EXPECT_FALSE(IsClose(0.0, 0.0, 0.0, &relative_error, &absolute_error));  EXPECT_NEAR(relative_error, 0.0, kTolerance);  EXPECT_NEAR(absolute_error, 0.0, kTolerance);}}  // namespace internal}  // namespace ceres
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