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Replace scoped_ptr with C++11's unique_ptr

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Change-Id: Ib5a504c491e3a79af52a95accf009df473470c6b
This commit is contained in:
Keir Mierle
2018-03-30 16:16:59 -07:00
parent fc9336e12a
commit 7c4e8a454e
120 changed files with 427 additions and 728 deletions
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internal/ceres/gradient_checking_cost_function_test.cc
+6 -5
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@@ -31,9 +31,10 @@
#include "ceres/gradient_checking_cost_function.h"
#include <cmath>
#include <memory>
#include <vector>
#include "ceres/cost_function.h"
#include "ceres/internal/scoped_ptr.h"
#include "ceres/local_parameterization.h"
#include "ceres/loss_function.h"
#include "ceres/parameter_block.h"
@@ -161,7 +162,7 @@ TEST(GradientCheckingCostFunction, ResidualsAndJacobiansArePreservedTest) {
TestTerm<-1, -1> term(arity, dim);
GradientCheckingIterationCallback callback;
scoped_ptr<CostFunction> gradient_checking_cost_function(
std::unique_ptr<CostFunction> gradient_checking_cost_function(
CreateGradientCheckingCostFunction(&term, NULL,
kRelativeStepSize,
kRelativePrecision,
@@ -218,7 +219,7 @@ TEST(GradientCheckingCostFunction, SmokeTest) {
{
TestTerm<1, 2> term(arity, dim);
GradientCheckingIterationCallback callback;
scoped_ptr<CostFunction> gradient_checking_cost_function(
std::unique_ptr<CostFunction> gradient_checking_cost_function(
CreateGradientCheckingCostFunction(&term, NULL,
kRelativeStepSize,
kRelativePrecision,
@@ -237,7 +238,7 @@ TEST(GradientCheckingCostFunction, SmokeTest) {
{
TestTerm<-1, -1> term(arity, dim);
GradientCheckingIterationCallback callback;
scoped_ptr<CostFunction> gradient_checking_cost_function(
std::unique_ptr<CostFunction> gradient_checking_cost_function(
CreateGradientCheckingCostFunction(&term, NULL,
kRelativeStepSize,
kRelativePrecision,
@@ -358,7 +359,7 @@ TEST(GradientCheckingProblemImpl, ProblemDimensionsMatch) {
NULL, z, x, y);
GradientCheckingIterationCallback callback;
scoped_ptr<ProblemImpl> gradient_checking_problem_impl(
std::unique_ptr<ProblemImpl> gradient_checking_problem_impl(
CreateGradientCheckingProblemImpl(&problem_impl, 1.0, 1.0, &callback));
// The dimensions of the two problems match.