mirror of
https://github.com/ceres-solver/ceres-solver.git
synced 2026-08-31 01:20:38 +08:00
fix formatting for (non-generated) internal source files
- Change formatting standard to Cpp11. Main difference is not having the space between two closing >> for nested templates. We don't choose c++14, because older versions of clang-format (version 9 and earlier) don't know this value yet, and it doesn't make a difference in the formatting. - Apply clang-format to all (non generated) internal source files. - Manually fix some code sections (clang-format on/off) and c-strings - Exclude some embedded external files with very different formatting (gtest/gmock) - Add script to format all source files Change-Id: Ic6cea41575ad6e37c9e136dbce176b0d505dc44d
This commit is contained in:
@@ -29,10 +29,11 @@
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// Author: sameeragarwal@google.com (Sameer Agarwal)
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// mierle@gmail.com (Keir Mierle)
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#include <cstddef>
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#include <memory>
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#include "ceres/dynamic_numeric_diff_cost_function.h"
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#include <cstddef>
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#include <memory>
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#include "gtest/gtest.h"
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namespace ceres {
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@@ -87,9 +88,8 @@ TEST(DynamicNumericdiffCostFunctionTest, TestResiduals) {
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vector<double*> parameter_blocks(2);
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parameter_blocks[0] = ¶m_block_0[0];
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parameter_blocks[1] = ¶m_block_1[0];
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EXPECT_TRUE(cost_function.Evaluate(¶meter_blocks[0],
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residuals.data(),
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NULL));
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EXPECT_TRUE(
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cost_function.Evaluate(¶meter_blocks[0], residuals.data(), NULL));
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for (int r = 0; r < 10; ++r) {
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EXPECT_EQ(1.0 * r, residuals.at(r * 2));
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EXPECT_EQ(-1.0 * r, residuals.at(r * 2 + 1));
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@@ -97,7 +97,6 @@ TEST(DynamicNumericdiffCostFunctionTest, TestResiduals) {
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EXPECT_EQ(0, residuals.at(20));
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}
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TEST(DynamicNumericdiffCostFunctionTest, TestJacobian) {
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// Test the residual counting.
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vector<double> param_block_0(10, 0.0);
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@@ -128,9 +127,8 @@ TEST(DynamicNumericdiffCostFunctionTest, TestJacobian) {
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jacobian.push_back(jacobian_vect[1].data());
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// Test jacobian computation.
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EXPECT_TRUE(cost_function.Evaluate(parameter_blocks.data(),
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residuals.data(),
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jacobian.data()));
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EXPECT_TRUE(cost_function.Evaluate(
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parameter_blocks.data(), residuals.data(), jacobian.data()));
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for (int r = 0; r < 10; ++r) {
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EXPECT_EQ(-1.0 * r, residuals.at(r * 2));
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@@ -139,11 +137,11 @@ TEST(DynamicNumericdiffCostFunctionTest, TestJacobian) {
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EXPECT_EQ(420, residuals.at(20));
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for (int p = 0; p < 10; ++p) {
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// Check "A" Jacobian.
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EXPECT_NEAR(-1.0, jacobian_vect[0][2*p * 10 + p], kTolerance);
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EXPECT_NEAR(-1.0, jacobian_vect[0][2 * p * 10 + p], kTolerance);
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// Check "B" Jacobian.
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EXPECT_NEAR(+1.0, jacobian_vect[0][(2*p+1) * 10 + p], kTolerance);
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jacobian_vect[0][2*p * 10 + p] = 0.0;
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jacobian_vect[0][(2*p+1) * 10 + p] = 0.0;
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EXPECT_NEAR(+1.0, jacobian_vect[0][(2 * p + 1) * 10 + p], kTolerance);
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jacobian_vect[0][2 * p * 10 + p] = 0.0;
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jacobian_vect[0][(2 * p + 1) * 10 + p] = 0.0;
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}
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// Check "C" Jacobian for first parameter block.
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@@ -165,7 +163,8 @@ TEST(DynamicNumericdiffCostFunctionTest, TestJacobian) {
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}
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}
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TEST(DynamicNumericdiffCostFunctionTest, JacobianWithFirstParameterBlockConstant) { // NOLINT
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TEST(DynamicNumericdiffCostFunctionTest,
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JacobianWithFirstParameterBlockConstant) { // NOLINT
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// Test the residual counting.
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vector<double> param_block_0(10, 0.0);
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for (int i = 0; i < 10; ++i) {
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@@ -195,9 +194,8 @@ TEST(DynamicNumericdiffCostFunctionTest, JacobianWithFirstParameterBlockConstant
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jacobian.push_back(jacobian_vect[1].data());
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// Test jacobian computation.
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EXPECT_TRUE(cost_function.Evaluate(parameter_blocks.data(),
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residuals.data(),
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jacobian.data()));
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EXPECT_TRUE(cost_function.Evaluate(
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parameter_blocks.data(), residuals.data(), jacobian.data()));
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for (int r = 0; r < 10; ++r) {
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EXPECT_EQ(-1.0 * r, residuals.at(r * 2));
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@@ -215,7 +213,8 @@ TEST(DynamicNumericdiffCostFunctionTest, JacobianWithFirstParameterBlockConstant
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}
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}
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TEST(DynamicNumericdiffCostFunctionTest, JacobianWithSecondParameterBlockConstant) { // NOLINT
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TEST(DynamicNumericdiffCostFunctionTest,
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JacobianWithSecondParameterBlockConstant) { // NOLINT
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// Test the residual counting.
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vector<double> param_block_0(10, 0.0);
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for (int i = 0; i < 10; ++i) {
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@@ -245,9 +244,8 @@ TEST(DynamicNumericdiffCostFunctionTest, JacobianWithSecondParameterBlockConstan
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jacobian.push_back(NULL);
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// Test jacobian computation.
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EXPECT_TRUE(cost_function.Evaluate(parameter_blocks.data(),
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residuals.data(),
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jacobian.data()));
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EXPECT_TRUE(cost_function.Evaluate(
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parameter_blocks.data(), residuals.data(), jacobian.data()));
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for (int r = 0; r < 10; ++r) {
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EXPECT_EQ(-1.0 * r, residuals.at(r * 2));
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@@ -256,11 +254,11 @@ TEST(DynamicNumericdiffCostFunctionTest, JacobianWithSecondParameterBlockConstan
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EXPECT_EQ(420, residuals.at(20));
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for (int p = 0; p < 10; ++p) {
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// Check "A" Jacobian.
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EXPECT_NEAR(-1.0, jacobian_vect[0][2*p * 10 + p], kTolerance);
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EXPECT_NEAR(-1.0, jacobian_vect[0][2 * p * 10 + p], kTolerance);
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// Check "B" Jacobian.
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EXPECT_NEAR(+1.0, jacobian_vect[0][(2*p+1) * 10 + p], kTolerance);
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jacobian_vect[0][2*p * 10 + p] = 0.0;
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jacobian_vect[0][(2*p+1) * 10 + p] = 0.0;
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EXPECT_NEAR(+1.0, jacobian_vect[0][(2 * p + 1) * 10 + p], kTolerance);
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jacobian_vect[0][2 * p * 10 + p] = 0.0;
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jacobian_vect[0][(2 * p + 1) * 10 + p] = 0.0;
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}
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// Check "C" Jacobian for first parameter block.
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@@ -331,10 +329,10 @@ class ThreeParameterCostFunctorTest : public ::testing::Test {
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// Prepare the cost function.
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typedef DynamicNumericDiffCostFunction<MyThreeParameterCostFunctor>
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DynamicMyThreeParameterCostFunction;
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DynamicMyThreeParameterCostFunction * cost_function =
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new DynamicMyThreeParameterCostFunction(
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new MyThreeParameterCostFunctor());
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DynamicMyThreeParameterCostFunction;
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DynamicMyThreeParameterCostFunction* cost_function =
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new DynamicMyThreeParameterCostFunction(
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new MyThreeParameterCostFunctor());
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cost_function->AddParameterBlock(1);
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cost_function->AddParameterBlock(2);
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cost_function->AddParameterBlock(3);
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@@ -432,9 +430,8 @@ class ThreeParameterCostFunctorTest : public ::testing::Test {
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TEST_F(ThreeParameterCostFunctorTest, TestThreeParameterResiduals) {
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vector<double> residuals(7, -100000);
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EXPECT_TRUE(cost_function_->Evaluate(parameter_blocks_.data(),
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residuals.data(),
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NULL));
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EXPECT_TRUE(cost_function_->Evaluate(
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parameter_blocks_.data(), residuals.data(), NULL));
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for (int i = 0; i < 7; ++i) {
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EXPECT_EQ(expected_residuals_[i], residuals[i]);
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}
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@@ -448,9 +445,8 @@ TEST_F(ThreeParameterCostFunctorTest, TestThreeParameterJacobian) {
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jacobian.push_back(jacobian_vect_[1].data());
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jacobian.push_back(jacobian_vect_[2].data());
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EXPECT_TRUE(cost_function_->Evaluate(parameter_blocks_.data(),
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residuals.data(),
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jacobian.data()));
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EXPECT_TRUE(cost_function_->Evaluate(
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parameter_blocks_.data(), residuals.data(), jacobian.data()));
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for (int i = 0; i < 7; ++i) {
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EXPECT_EQ(expected_residuals_[i], residuals[i]);
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@@ -478,9 +474,8 @@ TEST_F(ThreeParameterCostFunctorTest,
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jacobian.push_back(jacobian_vect_[1].data());
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jacobian.push_back(NULL);
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EXPECT_TRUE(cost_function_->Evaluate(parameter_blocks_.data(),
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residuals.data(),
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jacobian.data()));
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EXPECT_TRUE(cost_function_->Evaluate(
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parameter_blocks_.data(), residuals.data(), jacobian.data()));
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for (int i = 0; i < 7; ++i) {
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EXPECT_EQ(expected_residuals_[i], residuals[i]);
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@@ -500,9 +495,8 @@ TEST_F(ThreeParameterCostFunctorTest,
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jacobian.push_back(NULL);
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jacobian.push_back(jacobian_vect_[2].data());
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EXPECT_TRUE(cost_function_->Evaluate(parameter_blocks_.data(),
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residuals.data(),
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jacobian.data()));
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EXPECT_TRUE(cost_function_->Evaluate(
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parameter_blocks_.data(), residuals.data(), jacobian.data()));
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for (int i = 0; i < 7; ++i) {
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EXPECT_EQ(expected_residuals_[i], residuals[i]);
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