Package daikon.inv.ternary.threeScalar

Class LinearTernaryFloat

  • All Implemented Interfaces:
    Serializable, Cloneable
    public class LinearTernaryFloat
extends ThreeFloat
    Represents a Linear invariant over three double scalars x, y, and z, of the form ax + by + cz + d = 0. The constants a, b, c, and d are mutually relatively prime, and the constant a is always positive.
    See Also:
    Serialized Form

    • Method Detail

      • enabled

        public boolean enabled()
        returns whether or not this invariant is enabled
        Specified by:
        enabled in class Invariant

      • clone

        @SideEffectFree
public LinearTernaryFloat clone​(@GuardSatisfied LinearTernaryFloat this)
        Description copied from class: Invariant
        Do nothing special, Overridden to remove exception from declaration.
        Overrides:
        clone in class Invariant

      • resurrect_done

        protected Invariant resurrect_done​(int[] permutation)
        Description copied from class: Invariant
        Called on the new invariant just before resurrect() returns it to allow subclasses to fix any information they might have cached from the old Ppt and VarInfos.
        Overrides:
        resurrect_done in class TernaryInvariant
        Parameters:
        permutation - the permutation
        Returns:
        the permuted invariant

      • repr

        public String repr​(@GuardSatisfied LinearTernaryFloat this)
        Description copied from class: Invariant
        For printing invariants, there are two interfaces: repr gives a low-level representation (Invariant.repr_prob() also prints the confidence), and Invariant.format() gives a high-level representation for user output.
        Overrides:
        repr in class Invariant
        Returns:
        a string representation of this

      • isActive

        @Pure
public boolean isActive()
        Description copied from class: Invariant
        Returns whether or not the invariant is currently active. This is used to identify those invariants that require a certain number of points before they actually do computation (eg, LinearBinary)

        This is used during suppresion. Any invariant that is not active cannot suppress another invariant.

        Overrides:
        isActive in class Invariant
        Returns:
        true if this invariant is currently active

      • check_modified

        public InvariantStatus check_modified​(double x,
                                      double y,
                                      double z,
                                      int count)
        Description copied from class: ThreeFloat
        Presents a sample to the invariant. Returns whether the sample is consistent with the invariant. Does not change the state of the invariant.
        Specified by:
        check_modified in class ThreeFloat
        count - how many identical samples were observed in a row. For example, three calls to check_modified with a count parameter of 1 is equivalent to one call to check_modified with a count parameter of 3.
        Returns:
        whether or not the sample is consistent with the invariant

      • enoughSamples

        public boolean enoughSamples​(@GuardSatisfied LinearTernaryFloat this)
        Description copied from class: Invariant
        Returns true if the invariant has enough samples to have its computed constants well-formed. Is overridden in classes like LinearBinary/Ternary and Upper/LowerBound.
        Overrides:
        enoughSamples in class Invariant
        Returns:
        true if the invariant has enough samples to have its computed constants well-formed

      • isExact

        @Pure
public boolean isExact()
        Description copied from class: Invariant
        Subclasses should override. An exact invariant indicates that given all but one variable value, the last one can be computed. (I think that's correct, anyway.) Examples are IntComparison (when only equality is possible), LinearBinary, FunctionUnary. OneOf is treated differently, as an interface. The result of this method does not depend on whether the invariant is justified, destroyed, etc.
        Overrides:
        isExact in class Invariant
        Returns:
        true if any variable value can be computed from all the others

      • isObviousDynamically

        @Pure
public @Nullable DiscardInfo isObviousDynamically​(VarInfo[] vis)
        Description copied from class: Invariant
        Return non-null if this invariant is necessarily true from a fact that can be determined dynamically (after checking data) -- for the given varInfos rather than the varInfos of this. Conceptually, this means, "Is this invariant dynamically obvious if its VarInfos were switched with vis?" Intended to be overriden by subclasses so they can filter invariants after checking; the overriding method should first call "super.isObviousDynamically(vis)". Since this method is dynamic, it should only be called after all processing.
        Overrides:
        isObviousDynamically in class Invariant

      • isSameFormula

        @Pure
public boolean isSameFormula​(Invariant other)
        Description copied from class: Invariant
        Returns true iff the two invariants represent the same mathematical formula. Does not consider the context such as variable names, confidences, sample counts, value counts, or related quantities. As a rule of thumb, if two invariants format the same, this method returns true. Furthermore, in many cases, if an invariant does not involve computed constants (as "x>c" and "y=ax+b" do for constants a, b, and c), then this method vacuously returns true.
        Specified by:
        isSameFormula in class Invariant
        Parameters:
        other - the invariant to compare to this one
        Returns:
        true iff the two invariants represent the same mathematical formula. Does not consider

      • isExclusiveFormula

        @Pure
public boolean isExclusiveFormula​(Invariant other)
        Description copied from class: Invariant
        Returns true iff the two invariants represent mutually exclusive mathematical formulas -- that is, if one of them is true, then the other must be false. This method does not consider the context such as variable names, confidences, sample counts, value counts, or related quantities.
        Overrides:
        isExclusiveFormula in class Invariant
        Parameters:
        other - the other invariant to compare to this one
        Returns:
        true iff the two invariants represent mutually exclusive mathematical formulas

      • mergeFormulasOk

        public boolean mergeFormulasOk()
        Description copied from class: Invariant
        Returns whether or not it is possible to merge invariants of the same class but with different formulas when combining invariants from lower ppts to build invariants at upper program points. Invariants that have this characteristic (eg, bound, oneof) should override this function. Note that invariants that can do this, normally need special merge code as well (to merge the different formulas into a single formula at the upper point.
        Overrides:
        mergeFormulasOk in class Invariant
        Returns:
        true if invariants with different formulas can be merged

      • merge

        public @Nullable Invariant merge​(List<Invariant> invs,
                                 PptSlice parent_ppt)
        Merge the invariants in invs to form a new invariant. Each must be a LinearTernaryFloat invariant. The work is done by the LinearTernary core
        Overrides:
        merge in class Invariant
        Parameters:
        invs - list of invariants to merge. They should all be permuted to match the variable order in parent_ppt.
        parent_ppt - slice that will contain the new invariant
        Returns:
        the merged invariant or null if the invariants didn't represent the same invariant