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update wrapper with rng default args

release/4.3a0
Varun Agrawal 2025-05-16 10:01:48 -04:00
parent 95af327c44
commit d4c9c68b58
2 changed files with 4 additions and 8 deletions
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6
gtsam/hybrid/hybrid.i
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@ -158,10 +158,8 @@ class HybridBayesNet {
gtsam::HybridValues optimize() const; gtsam::HybridValues optimize() const;
gtsam::VectorValues optimize(const gtsam::DiscreteValues& assignment) const; gtsam::VectorValues optimize(const gtsam::DiscreteValues& assignment) const;
gtsam::HybridValues sample(const gtsam::HybridValues& given, std::mt19937_64@ rng) const; gtsam::HybridValues sample(const gtsam::HybridValues& given, std::mt19937_64@ rng = nullptr) const;
gtsam::HybridValues sample(std::mt19937_64@ rng) const; gtsam::HybridValues sample(std::mt19937_64@ rng = nullptr) const;
gtsam::HybridValues sample(const gtsam::HybridValues& given) const;
gtsam::HybridValues sample() const;
void print(string s = "HybridBayesNet\n", void print(string s = "HybridBayesNet\n",
const gtsam::KeyFormatter& keyFormatter = const gtsam::KeyFormatter& keyFormatter =

6
gtsam/linear/linear.i
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@ -560,10 +560,8 @@ virtual class GaussianConditional : gtsam::JacobianFactor {
const gtsam::VectorValues& frontalValues) const; const gtsam::VectorValues& frontalValues) const;
gtsam::JacobianFactor* likelihood(gtsam::Vector frontal) const; gtsam::JacobianFactor* likelihood(gtsam::Vector frontal) const;
gtsam::VectorValues sample(std::mt19937_64@ rng) const; gtsam::VectorValues sample(std::mt19937_64@ rng = nullptr) const;
gtsam::VectorValues sample(const gtsam::VectorValues& parents, std::mt19937_64@ rng) const; gtsam::VectorValues sample(const gtsam::VectorValues& parents, std::mt19937_64@ rng = nullptr) const;
gtsam::VectorValues sample() const;
gtsam::VectorValues sample(const gtsam::VectorValues& parents) const;
// Advanced Interface // Advanced Interface
gtsam::VectorValues solveOtherRHS(const gtsam::VectorValues& parents, gtsam::VectorValues solveOtherRHS(const gtsam::VectorValues& parents,