11#include <gtsam_unstable/discrete/BinaryAllDiff.h>
23 std::map<Key, size_t> cardinalities_;
36 DefaultKeyFormatter)
const override;
40 if (!
dynamic_cast<const AllDiff*
>(&other))
44 return cardinalities_.size() == f.cardinalities_.size() &&
45 std::equal(cardinalities_.begin(), cardinalities_.end(),
46 f.cardinalities_.begin());
51 double operator()(
const Values& values)
const override;
66 bool ensureArcConsistency(
size_t j,
67 std::vector<Domain>& domains)
const override;
70 Constraint::shared_ptr partiallyApply(
const Values&)
const override;
73 Constraint::shared_ptr partiallyApply(
74 const std::vector<Domain>&)
const override;
specialized key for discrete variables
Global functions in a separate testing namespace.
Definition: chartTesting.h:28
void print(const Matrix &A, const string &s, ostream &stream)
print without optional string, must specify cout yourself
Definition: Matrix.cpp:155
Point2 operator*(double s, const Point2 &p)
multiply with scalar
Definition: Point2.h:47
std::pair< Key, size_t > DiscreteKey
Key type for discrete conditionals Includes name and cardinality.
Definition: DiscreteKey.h:34
bool equal(const T &obj1, const T &obj2, double tol)
Call equal on the object.
Definition: Testable.h:84
std::uint64_t Key
Integer nonlinear key type.
Definition: types.h:69
std::function< std::string(Key)> KeyFormatter
Typedef for a function to format a key, i.e. to convert it to a string.
Definition: Key.h:35
A discrete probabilistic factor.
Definition: DecisionTreeFactor.h:38
Base class for discrete probabilistic factors The most general one is the derived DecisionTreeFactor.
Definition: DiscreteFactor.h:34
DiscreteKeys is a set of keys that can be assembled using the & operator.
Definition: DiscreteKey.h:37
A non-templated config holding any types of Manifold-group elements.
Definition: Values.h:63
General AllDiff constraint Returns 1 if values for all keys are different, 0 otherwise DiscreteFactor...
Definition: AllDiff.h:22
bool equals(const DiscreteFactor &other, double tol) const override
equals
Definition: AllDiff.h:39
Base class for discrete probabilistic factors The most general one is the derived DecisionTreeFactor.
Definition: Constraint.h:33