ai.timefold.jpyinterpreter.opcodes.dunder.NotOpcode Maven / Gradle / Ivy

Go to download

Show more of this group Show more artifacts with this name
Show all versions of jpyinterpreter Show documentation

Timefold solves planning problems. This lightweight, embeddable planning engine implements powerful and scalable algorithms to optimize business resource scheduling and planning. This module contains the Python interpreter.

The newest version!

package ai.timefold.jpyinterpreter.opcodes.dunder;

import ai.timefold.jpyinterpreter.FunctionMetadata;
import ai.timefold.jpyinterpreter.PythonBytecodeInstruction;
import ai.timefold.jpyinterpreter.PythonUnaryOperator;
import ai.timefold.jpyinterpreter.StackMetadata;
import ai.timefold.jpyinterpreter.ValueSourceInfo;
import ai.timefold.jpyinterpreter.implementors.DunderOperatorImplementor;
import ai.timefold.jpyinterpreter.implementors.PythonBuiltinOperatorImplementor;
import ai.timefold.jpyinterpreter.opcodes.AbstractOpcode;
import ai.timefold.jpyinterpreter.types.BuiltinTypes;

public class NotOpcode extends AbstractOpcode {

    public NotOpcode(PythonBytecodeInstruction instruction) {
        super(instruction);
    }

    @Override
    public StackMetadata getStackMetadataAfterInstruction(FunctionMetadata functionMetadata,
            StackMetadata stackMetadata) {
        return stackMetadata.pop().push(ValueSourceInfo.of(this, BuiltinTypes.BOOLEAN_TYPE,
                stackMetadata.getValueSourcesUpToStackIndex(1)));
    }

    @Override
    public void implement(FunctionMetadata functionMetadata, StackMetadata stackMetadata) {
        DunderOperatorImplementor.unaryOperator(functionMetadata.methodVisitor, stackMetadata,
                PythonUnaryOperator.AS_BOOLEAN);
        PythonBuiltinOperatorImplementor.performNotOnTOS(functionMetadata.methodVisitor);
    }
}