Class InvertSelectionAlgorithm
java.lang.Object
org.graffiti.plugin.algorithm.AbstractAlgorithm
de.ipk_gatersleben.ag_nw.graffiti.plugins.misc.invert_selection.InvertSelectionAlgorithm
- All Implemented Interfaces:
UndoableEdit
,Algorithm
public class InvertSelectionAlgorithm extends AbstractAlgorithm
Labels all selected nodes with unique numbers. Does not touch existing
labels.
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Constructor Summary
Constructors Constructor Description InvertSelectionAlgorithm()
Constructs a new instance. -
Method Summary
Modifier and Type Method Description void
execute()
Executes the whole algorithm.KeyStroke
getAcceleratorKeyStroke()
Default: no accelerator for the menu item, created for this algorithm.String
getCategory()
Returns the category an algorithm should assigned to.String
getName()
Returns the name (ID) of the algorithm.Parameter[]
getParameters()
Returns a list ofParameter
that are set for this algorithm.Set<Category>
getSetCategory()
Returns a set of categories to classify this algorithm .void
reset()
Resets the internal state of the algorithm.void
setParameters(Parameter[] params)
Sets the parameters for this algorithm.void
setSelection(Selection selection)
Sets the selection on which the algorithm works.Methods inherited from class org.graffiti.plugin.algorithm.AbstractAlgorithm
addEdit, attach, canRedo, canUndo, check, die, doesUndo, getActionEvent, getDescription, getMenuCategory, getPresentationName, getRedoPresentationName, getUndoPresentationName, isAlwaysExecutable, isLayoutAlgorithm, isSignificant, markExecutionDone, markRedoDone, markUndoDone, mayWorkOnMultipleGraphs, redo, replaceEdit, setActionEvent, showMenuIcon, undo
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Constructor Details
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InvertSelectionAlgorithm
public InvertSelectionAlgorithm()Constructs a new instance.
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Method Details
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getParameters
Description copied from interface:Algorithm
Returns a list ofParameter
that are set for this algorithm.- Specified by:
getParameters
in interfaceAlgorithm
- Overrides:
getParameters
in classAbstractAlgorithm
- Returns:
- a collection of
Parameter
that are needed by theAlgorithm
. - See Also:
Algorithm.getParameters()
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setParameters
Description copied from interface:Algorithm
Sets the parameters for this algorithm. Must have the same types and order as the array returned bygetParameter
.- Specified by:
setParameters
in interfaceAlgorithm
- Overrides:
setParameters
in classAbstractAlgorithm
- Parameters:
params
- Parameter array
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execute
public void execute()Description copied from interface:Algorithm
Executes the whole algorithm.- See Also:
Algorithm.execute()
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reset
public void reset()Description copied from interface:Algorithm
Resets the internal state of the algorithm.- Specified by:
reset
in interfaceAlgorithm
- Overrides:
reset
in classAbstractAlgorithm
- See Also:
Algorithm.reset()
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getName
Description copied from interface:Algorithm
Returns the name (ID) of the algorithm.- Returns:
- DOCUMENT ME!
- See Also:
Algorithm.getName()
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getAcceleratorKeyStroke
Description copied from class:AbstractAlgorithm
Default: no accelerator for the menu item, created for this algorithm.- Specified by:
getAcceleratorKeyStroke
in interfaceAlgorithm
- Overrides:
getAcceleratorKeyStroke
in classAbstractAlgorithm
- Returns:
- NULL (default) if no accelerator should be assigned for this algorithm.
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getCategory
Description copied from interface:Algorithm
Returns the category an algorithm should assigned to. Return NULL if the algorithm should be sorted directly in the plugin menu.- Specified by:
getCategory
in interfaceAlgorithm
- Overrides:
getCategory
in classAbstractAlgorithm
- Returns:
- The category an algorithm should assigned to.
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getSetCategory
Description copied from interface:Algorithm
Returns a set of categories to classify this algorithm . e.g. return new HashSet(Arrays.asList( Category.GRAPH, Category.NODE )); is an algorithm, working on graphs and more specific on nodes - Specified by:
getSetCategory
in interfaceAlgorithm
- Overrides:
getSetCategory
in classAbstractAlgorithm
- Returns:
- Set of Category Enums that classify this algorithm.
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setSelection
Sets the selection on which the algorithm works.- Parameters:
selection
- the selection
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