weka.core
Class AbstractHashableInstance

java.lang.Object
  weka.core.AbstractHashableInstance

All Implemented Interfaces:

Serializable, weka.core.Copyable, weka.core.Instance

Direct Known Subclasses:

HashableInstanceUsingString, HashableInstanceUsingSum

public abstract class AbstractHashableInstance
extends Object
implements Serializable, weka.core.Instance

Ancestor for instance classes that wraps around any WEKA Instance and allow them to be used in data structures that make use of on object's hash, like maps or hashtables.

Version:

$Revision: 5656 $

Author:

fracpete (fracpete at waikato dot ac dot nz)

See Also:

Serialized Form

Field Summary

protected weka.core.Instance	m_Data the wrapped instance.
protected boolean	m_ExcludeClass whether to exclude the class from the hashcode.
protected boolean	m_ExcludeWeight whether to exclude the weight from the hashcode.
protected Integer	m_HashCode the current hashcode.

Constructor Summary

protected

AbstractHashableInstance(weka.core.Instance data) Initializes the wrapper.

Method Summary

protected void	assign(AbstractHashableInstance inst) Assigns all the data, apart from wrapped instance, that the provided hashable instance provides.
weka.core.Attribute	attribute(int index) Returns the attribute with the given index.
weka.core.Attribute	attributeSparse(int indexOfIndex) Returns the attribute with the given index in the sparse representation.
weka.core.Attribute	classAttribute() Returns class attribute.
int	classIndex() Returns the class attribute's index.
boolean	classIsMissing() Tests if an instance's class is missing.
double	classValue() Returns an instance's class value as a floating-point number.
protected abstract int	computeHashCode() Computes the hashcode.
Object	copy() This method produces a shallow copy of an object.
weka.core.Instances	dataset() Returns the dataset this instance has access to.
void	deleteAttributeAt(int position) Deletes an attribute at the given position (0 to numAttributes() - 1).
Enumeration	enumerateAttributes() Returns an enumeration of all the attributes.
boolean	equalHeaders(weka.core.Instance inst) Tests if the headers of two instances are equivalent.
String	equalHeadersMsg(weka.core.Instance inst) Checks if the headers of two instances are equivalent.
boolean	equals(Object obj) Returns only true if the same class and the same hashcode.
boolean	getExcludeClass() Returns whether the class is excluded from the hashcode computation.
boolean	getExcludeWeight() Returns whether the weight is excluded from the hashcode computation.
int	hashCode() Returns the hashcode of this Instance, computes it if neccessary.
boolean	hasMissingValue() Tests whether an instance has a missing value.
int	index(int position) Returns the index of the attribute stored at the given position in the sparse representation.
void	insertAttributeAt(int position) Inserts an attribute at the given position (0 to numAttributes()).
protected void	invalidateHashCode() Invalidates the hash code.
boolean	isMissing(weka.core.Attribute att) Tests if a specific value is "missing".
boolean	isMissing(int attIndex) Tests if a specific value is "missing".
boolean	isMissingSparse(int indexOfIndex) Tests if a specific value is "missing" in the sparse representation.
weka.core.Instance	mergeInstance(weka.core.Instance inst) Merges this instance with the given instance and returns the result.
int	numAttributes() Returns the number of attributes.
int	numClasses() Returns the number of class labels.
int	numValues() Returns the number of values present in a sparse representation.
weka.core.Instances	relationalValue(weka.core.Attribute att) Returns the relational value of a relational attribute.
weka.core.Instances	relationalValue(int attIndex) Returns the relational value of a relational attribute.
void	replaceMissingValues(double[] array) Replaces all missing values in the instance with the values contained in the given array.
void	setClassMissing() Sets the class value of an instance to be "missing".
void	setClassValue(double value) Sets the class value of an instance to the given value (internal floating-point format).
void	setClassValue(String value) Sets the class value of an instance to the given value.
void	setDataset(weka.core.Instances instances) Sets the reference to the dataset.
void	setExcludeClass(boolean value) Sets whether to exclude the class from the hashcode computation.
void	setExcludeWeight(boolean value) Sets whether to exclude the weight from the hashcode computation.
void	setMissing(weka.core.Attribute att) Sets a specific value to be "missing".
void	setMissing(int attIndex) Sets a specific value to be "missing".
void	setValue(weka.core.Attribute att, double value) Sets a specific value in the instance to the given value (internal floating-point format).
void	setValue(weka.core.Attribute att, String value) Sets a value of an nominal or string attribute to the given value.
void	setValue(int attIndex, double value) Sets a specific value in the instance to the given value (internal floating-point format).
void	setValue(int attIndex, String value) Sets a value of a nominal or string attribute to the given value.
void	setValueSparse(int indexOfIndex, double value) Sets a specific value in the instance to the given value (internal floating-point format), given an index into the sparse representation.
void	setWeight(double weight) Sets the weight of an instance.
String	stringValue(weka.core.Attribute att) Returns the value of a nominal, string, date, or relational attribute for the instance as a string.
String	stringValue(int attIndex) Returns the value of a nominal, string, date, or relational attribute for the instance as a string.
double[]	toDoubleArray() Returns the values of each attribute as an array of doubles.
String	toString() Returns the value of the Instance's toString() method.
String	toString(weka.core.Attribute att) Returns the description of one value of the instance as a string.
String	toString(weka.core.Attribute att, int afterDecimalPoint) Returns the description of one value of the instance as a string.
String	toString(int attIndex) Returns the description of one value of the instance as a string.
String	toString(int attIndex, int afterDecimalPoint) Returns the description of one value of the instance as a string.
String	toStringMaxDecimalDigits(int afterDecimalPoint) Returns the description of one instance with any numeric values printed at the supplied maximum number of decimal places.
String	toStringNoWeight() Returns the description of one instance (without weight appended).
String	toStringNoWeight(int afterDecimalPoint) Returns the description of one instance (without weight appended).
double	value(weka.core.Attribute att) Returns an instance's attribute value in internal format.
double	value(int attIndex) Returns an instance's attribute value in internal format.
double	valueSparse(int indexOfIndex) Returns an instance's attribute value in internal format, given an index in the sparse representation.
double	weight() Returns the instance's weight.

Methods inherited from class java.lang.Object

clone, finalize, getClass, notify, notifyAll, wait, wait, wait

Field Detail

m_HashCode

protected Integer m_HashCode

the current hashcode.

m_Data

protected weka.core.Instance m_Data

the wrapped instance.

m_ExcludeClass

protected boolean m_ExcludeClass

whether to exclude the class from the hashcode.

m_ExcludeWeight

protected boolean m_ExcludeWeight

whether to exclude the weight from the hashcode.

Constructor Detail

AbstractHashableInstance

protected AbstractHashableInstance(weka.core.Instance data)

Initializes the wrapper. Class and weight are included in hashcode by default.

Parameters:

data - the instance to wrap

Method Detail

copy

public Object copy()

This method produces a shallow copy of an object. It does the same as the clone() method in Object, which also produces a shallow copy.

Specified by:

copy in interface weka.core.Copyable

Returns:

the copy

assign

protected void assign(AbstractHashableInstance inst)

Assigns all the data, apart from wrapped instance, that the provided hashable instance provides.

Parameters:

inst - the hashable instance to get the data from

attribute

public weka.core.Attribute attribute(int index)

Returns the attribute with the given index.

Specified by:

attribute in interface weka.core.Instance

Parameters:

index - the attribute's index

Returns:

the attribute at the given position

Throws:

UnassignedDatasetException - if instance doesn't have access to a dataset

attributeSparse

public weka.core.Attribute attributeSparse(int indexOfIndex)

Returns the attribute with the given index in the sparse representation. Same as attribute(int) for a DenseInstance.

Specified by:

attributeSparse in interface weka.core.Instance

Parameters:

indexOfIndex - the index of the attribute's index

Returns:

the attribute at the given position

Throws:

UnassignedDatasetException - if instance doesn't have access to a dataset

classAttribute

public weka.core.Attribute classAttribute()

Returns class attribute.

Specified by:

classAttribute in interface weka.core.Instance

Returns:

the class attribute

Throws:

UnassignedDatasetException - if the class is not set or the instance doesn't have access to a dataset

classIndex

public int classIndex()

Returns the class attribute's index.

Specified by:

classIndex in interface weka.core.Instance

Returns:

the class index as an integer

Throws:

UnassignedDatasetException - if instance doesn't have access to a dataset

classIsMissing

public boolean classIsMissing()

Tests if an instance's class is missing.

Specified by:

classIsMissing in interface weka.core.Instance

Returns:

true if the instance's class is missing

Throws:

UnassignedClassException - if the class is not set or the instance doesn't have access to a dataset

classValue

public double classValue()

Returns an instance's class value as a floating-point number.

Specified by:

classValue in interface weka.core.Instance

Returns:

the corresponding value as a double (If the corresponding attribute is nominal (or a string) then it returns the value's index as a double).

Throws:

UnassignedClassException - if the class is not set or the instance doesn't have access to a dataset

dataset

public weka.core.Instances dataset()

Returns the dataset this instance has access to. (ie. obtains information about attribute types from) Null if the instance doesn't have access to a dataset.

Specified by:

dataset in interface weka.core.Instance

Returns:

the dataset the instance has accesss to

deleteAttributeAt

public void deleteAttributeAt(int position)

Deletes an attribute at the given position (0 to numAttributes() - 1). Only succeeds if the instance does not have access to any dataset because otherwise inconsistencies could be introduced.

Specified by:

deleteAttributeAt in interface weka.core.Instance

Parameters:

position - the attribute's position

Throws:

RuntimeException - if the instance has access to a dataset

enumerateAttributes

public Enumeration enumerateAttributes()

Returns an enumeration of all the attributes.

Specified by:

enumerateAttributes in interface weka.core.Instance

Returns:

enumeration of all the attributes

Throws:

UnassignedDatasetException - if the instance doesn't have access to a dataset

equalHeaders

public boolean equalHeaders(weka.core.Instance inst)

Tests if the headers of two instances are equivalent.

Specified by:

equalHeaders in interface weka.core.Instance

Parameters:

inst - another instance

Returns:

true if the header of the given instance is equivalent to this instance's header

Throws:

UnassignedDatasetException - if instance doesn't have access to any dataset

equalHeadersMsg

public String equalHeadersMsg(weka.core.Instance inst)

Checks if the headers of two instances are equivalent. If not, then returns a message why they differ.

Specified by:

equalHeadersMsg in interface weka.core.Instance

Parameters:

dataset - another instance

Returns:

null if the header of the given instance is equivalent to this instance's header, otherwise a message with details on why they differ

hasMissingValue

public boolean hasMissingValue()

Tests whether an instance has a missing value. Skips the class attribute if set.

Specified by:

hasMissingValue in interface weka.core.Instance

Returns:

true if instance has a missing value.

Throws:

UnassignedDatasetException - if instance doesn't have access to any dataset

index

public int index(int position)

Returns the index of the attribute stored at the given position in the sparse representation. Identify function for an instance of type DenseInstance.

Specified by:

index in interface weka.core.Instance

Parameters:

position - the position

Returns:

the index of the attribute stored at the given position

insertAttributeAt

public void insertAttributeAt(int position)

Inserts an attribute at the given position (0 to numAttributes()). Only succeeds if the instance does not have access to any dataset because otherwise inconsistencies could be introduced.

Specified by:

insertAttributeAt in interface weka.core.Instance

Parameters:

position - the attribute's position

Throws:

RuntimeException - if the instance has accesss to a dataset

IllegalArgumentException - if the position is out of range

isMissing

public boolean isMissing(int attIndex)

Tests if a specific value is "missing".

Specified by:

isMissing in interface weka.core.Instance

Parameters:

attIndex - the attribute's index

Returns:

true if the value is "missing"

isMissing

public boolean isMissing(weka.core.Attribute att)

Tests if a specific value is "missing". The given attribute has to belong to a dataset.

Specified by:

isMissing in interface weka.core.Instance

Parameters:

att - the attribute

Returns:

true if the value is "missing"

isMissingSparse

public boolean isMissingSparse(int indexOfIndex)

Tests if a specific value is "missing" in the sparse representation. Samse as isMissing(int) for a DenseInstance.

Specified by:

isMissingSparse in interface weka.core.Instance

Parameters:

indexOfIndex - the index of the attribute's index

Returns:

true if the value is "missing"

mergeInstance

public weka.core.Instance mergeInstance(weka.core.Instance inst)

Merges this instance with the given instance and returns the result. Dataset is set to null. The returned instance is of the same type as this instance.

Specified by:

mergeInstance in interface weka.core.Instance

Parameters:

inst - the instance to be merged with this one

Returns:

the merged instances

numAttributes

public int numAttributes()

Returns the number of attributes.

Specified by:

numAttributes in interface weka.core.Instance

Returns:

the number of attributes as an integer

numClasses

public int numClasses()

Returns the number of class labels.

Specified by:

numClasses in interface weka.core.Instance

Returns:

the number of class labels as an integer if the class attribute is nominal, 1 otherwise.

Throws:

UnassignedDatasetException - if instance doesn't have access to any dataset

numValues

public int numValues()

Returns the number of values present in a sparse representation.

Specified by:

numValues in interface weka.core.Instance

Returns:

the number of values

relationalValue

public weka.core.Instances relationalValue(int attIndex)

Returns the relational value of a relational attribute.

Specified by:

relationalValue in interface weka.core.Instance

Parameters:

attIndex - the attribute's index

Returns:

the corresponding relation as an Instances object

Throws:

IllegalArgumentException - if the attribute is not a relation-valued attribute

UnassignedDatasetException - if the instance doesn't belong to a dataset.

relationalValue

public weka.core.Instances relationalValue(weka.core.Attribute att)

Returns the relational value of a relational attribute.

Specified by:

relationalValue in interface weka.core.Instance

Parameters:

att - the attribute

Returns:

the corresponding relation as an Instances object

Throws:

IllegalArgumentException - if the attribute is not a relation-valued attribute

UnassignedDatasetException - if the instance doesn't belong to a dataset.

replaceMissingValues

public void replaceMissingValues(double[] array)

Replaces all missing values in the instance with the values contained in the given array. A deep copy of the vector of attribute values is performed before the values are replaced.

Specified by:

replaceMissingValues in interface weka.core.Instance

Parameters:

array - containing the means and modes

Throws:

IllegalArgumentException - if numbers of attributes are unequal

setClassMissing

public void setClassMissing()

Sets the class value of an instance to be "missing". A deep copy of the vector of attribute values is performed before the value is set to be missing.

Specified by:

setClassMissing in interface weka.core.Instance

Throws:

UnassignedClassException - if the class is not set

UnassignedDatasetException - if the instance doesn't have access to a dataset

setClassValue

public void setClassValue(double value)

Sets the class value of an instance to the given value (internal floating-point format). A deep copy of the vector of attribute values is performed before the value is set.

Specified by:

setClassValue in interface weka.core.Instance

Parameters:

value - the new attribute value (If the corresponding attribute is nominal (or a string) then this is the new value's index as a double).

Throws:

UnassignedClassException - if the class is not set

UnaddignedDatasetException - if the instance doesn't have access to a dataset

setClassValue

public void setClassValue(String value)

Sets the class value of an instance to the given value. A deep copy of the vector of attribute values is performed before the value is set.

Specified by:

setClassValue in interface weka.core.Instance

Parameters:

value - the new class value (If the class is a string attribute and the value can't be found, the value is added to the attribute).

Throws:

UnassignedClassException - if the class is not set

UnassignedDatasetException - if the dataset is not set

IllegalArgumentException - if the attribute is not nominal or a string, or the value couldn't be found for a nominal attribute

setDataset

public void setDataset(weka.core.Instances instances)

Sets the reference to the dataset. Does not check if the instance is compatible with the dataset. Note: the dataset does not know about this instance. If the structure of the dataset's header gets changed, this instance will not be adjusted automatically.

Specified by:

setDataset in interface weka.core.Instance

Parameters:

instances - the reference to the dataset

setMissing

public void setMissing(int attIndex)

Sets a specific value to be "missing". Performs a deep copy of the vector of attribute values before the value is set to be missing.

Specified by:

setMissing in interface weka.core.Instance

Parameters:

attIndex - the attribute's index

setMissing

public void setMissing(weka.core.Attribute att)

Sets a specific value to be "missing". Performs a deep copy of the vector of attribute values before the value is set to be missing. The given attribute has to belong to a dataset.

Specified by:

setMissing in interface weka.core.Instance

Parameters:

att - the attribute

setValue

public void setValue(int attIndex,
                     double value)

Sets a specific value in the instance to the given value (internal floating-point format). Performs a deep copy of the vector of attribute values before the value is set.

Specified by:

setValue in interface weka.core.Instance

Parameters:

attIndex - the attribute's index

value - the new attribute value (If the corresponding attribute is nominal (or a string) then this is the new value's index as a double).

setValue

public void setValue(int attIndex,
                     String value)

Sets a value of a nominal or string attribute to the given value. Performs a deep copy of the vector of attribute values before the value is set.

Specified by:

setValue in interface weka.core.Instance

Parameters:

attIndex - the attribute's index

value - the new attribute value (If the attribute is a string attribute and the value can't be found, the value is added to the attribute).

Throws:

UnassignedDatasetException - if the dataset is not set

IllegalArgumentException - if the selected attribute is not nominal or a string, or the supplied value couldn't be found for a nominal attribute

setValue

public void setValue(weka.core.Attribute att,
                     double value)

Sets a specific value in the instance to the given value (internal floating-point format). Performs a deep copy of the vector of attribute values before the value is set, so if you are planning on calling setValue many times it may be faster to create a new instance using toDoubleArray. The given attribute has to belong to a dataset.

Specified by:

setValue in interface weka.core.Instance

Parameters:

att - the attribute

value - the new attribute value (If the corresponding attribute is nominal (or a string) then this is the new value's index as a double).

setValue

public void setValue(weka.core.Attribute att,
                     String value)

Sets a value of an nominal or string attribute to the given value. Performs a deep copy of the vector of attribute values before the value is set, so if you are planning on calling setValue many times it may be faster to create a new instance using toDoubleArray. The given attribute has to belong to a dataset.

Specified by:

setValue in interface weka.core.Instance

Parameters:

att - the attribute

value - the new attribute value (If the attribute is a string attribute and the value can't be found, the value is added to the attribute).

Throws:

IllegalArgumentException - if the the attribute is not nominal or a string, or the value couldn't be found for a nominal attribute

setValueSparse

public void setValueSparse(int indexOfIndex,
                           double value)

Sets a specific value in the instance to the given value (internal floating-point format), given an index into the sparse representation. Performs a deep copy of the vector of attribute values before the value is set. Same as setValue(int, double) for a DenseInstance.

Specified by:

setValueSparse in interface weka.core.Instance

Parameters:

indexOfIndex - the index of the attribute's index

value - the new attribute value (If the corresponding attribute is nominal (or a string) then this is the new value's index as a double).

setWeight

public void setWeight(double weight)

Sets the weight of an instance.

Specified by:

setWeight in interface weka.core.Instance

Parameters:

weight - the weight

stringValue

public String stringValue(int attIndex)

Returns the value of a nominal, string, date, or relational attribute for the instance as a string.

Specified by:

stringValue in interface weka.core.Instance

Parameters:

attIndex - the attribute's index

Returns:

the value as a string

Throws:

IllegalArgumentException - if the attribute is not a nominal, string, date, or relation-valued attribute.

UnassignedDatasetException - if the instance doesn't belong to a dataset.

stringValue

public String stringValue(weka.core.Attribute att)

Returns the value of a nominal, string, date, or relational attribute for the instance as a string.

Specified by:

stringValue in interface weka.core.Instance

Parameters:

att - the attribute

Returns:

the value as a string

Throws:

IllegalArgumentException - if the attribute is not a nominal, string, date, or relation-valued attribute.

UnassignedDatasetException - if the instance doesn't belong to a dataset.

toDoubleArray

public double[] toDoubleArray()

Returns the values of each attribute as an array of doubles.

Specified by:

toDoubleArray in interface weka.core.Instance

Returns:

an array containing all the instance attribute values

toString

public String toString()

Returns the value of the Instance's toString() method.

Overrides:

toString in class Object

Returns:

the instance as a string

toString

public String toString(int attIndex)

Returns the description of one value of the instance as a string. If the instance doesn't have access to a dataset, it returns the internal floating-point value. Quotes string values that contain whitespace characters, or if they are a question mark.

Specified by:

toString in interface weka.core.Instance

Parameters:

attIndex - the attribute's index

Returns:

the value's description as a string

toString

public String toString(weka.core.Attribute att)

Returns the description of one value of the instance as a string. If the instance doesn't have access to a dataset it returns the internal floating-point value. Quotes string values that contain whitespace characters, or if they are a question mark. The given attribute has to belong to a dataset.

Specified by:

toString in interface weka.core.Instance

Parameters:

att - the attribute

Returns:

the value's description as a string

toString

public String toString(int attIndex,
                       int afterDecimalPoint)

Returns the description of one value of the instance as a string. If the instance doesn't have access to a dataset, it returns the internal floating-point value. Quotes string values that contain whitespace characters, or if they are a question mark.

Specified by:

toString in interface weka.core.Instance

Parameters:

attIndex - the attribute's index

afterDecimalPoint - the maximum number of digits permitted after the decimal point for numeric values

Returns:

the value's description as a string

toString

public String toString(weka.core.Attribute att,
                       int afterDecimalPoint)

Returns the description of one value of the instance as a string. If the instance doesn't have access to a dataset it returns the internal floating-point value. Quotes string values that contain whitespace characters, or if they are a question mark. The given attribute has to belong to a dataset.

Specified by:

toString in interface weka.core.Instance

Parameters:

att - the attribute

afterDecimalPoint - the maximum number of decimal places to print

Returns:

the value's description as a string

toStringMaxDecimalDigits

public String toStringMaxDecimalDigits(int afterDecimalPoint)

Returns the description of one instance with any numeric values printed at the supplied maximum number of decimal places. If the instance doesn't have access to a dataset, it returns the internal floating-point values. Quotes string values that contain whitespace characters.

Specified by:

toStringMaxDecimalDigits in interface weka.core.Instance

Parameters:

afterDecimalPoint - the maximum number of digits permitted after the decimal point for a numeric value

Returns:

the instance's description as a string

toStringNoWeight

public String toStringNoWeight()

Returns the description of one instance (without weight appended). If the instance doesn't have access to a dataset, it returns the internal floating-point values. Quotes string values that contain whitespace characters. This method is used by getRandomNumberGenerator() in Instances.java in order to maintain backwards compatibility with weka 3.4.

Specified by:

toStringNoWeight in interface weka.core.Instance

Returns:

the instance's description as a string

toStringNoWeight

public String toStringNoWeight(int afterDecimalPoint)

Returns the description of one instance (without weight appended). If the instance doesn't have access to a dataset, it returns the internal floating-point values. Quotes string values that contain whitespace characters. This method is used by getRandomNumberGenerator() in Instances.java in order to maintain backwards compatibility with weka 3.4.

Specified by:

toStringNoWeight in interface weka.core.Instance

Parameters:

afterDecimalPoint - maximum number of digits after the decimal point for numeric values

Returns:

the instance's description as a string

value

public double value(int attIndex)

Returns an instance's attribute value in internal format.

Specified by:

value in interface weka.core.Instance

Parameters:

attIndex - the attribute's index

Returns:

the specified value as a double (If the corresponding attribute is nominal (or a string) then it returns the value's index as a double).

value

public double value(weka.core.Attribute att)

Returns an instance's attribute value in internal format. The given attribute has to belong to a dataset.

Specified by:

value in interface weka.core.Instance

Parameters:

att - the attribute

Returns:

the specified value as a double (If the corresponding attribute is nominal (or a string) then it returns the value's index as a double).

valueSparse

public double valueSparse(int indexOfIndex)

Returns an instance's attribute value in internal format, given an index in the sparse representation. Same as value(int) for a DenseInstance.

Specified by:

valueSparse in interface weka.core.Instance

Parameters:

indexOfIndex - the index of the attribute's index

Returns:

the specified value as a double (If the corresponding attribute is nominal (or a string) then it returns the value's index as a double).

weight

public double weight()

Returns the instance's weight.

Specified by:

weight in interface weka.core.Instance

Returns:

the instance's weight as a double

equals

public boolean equals(Object obj)

Returns only true if the same class and the same hashcode.

Overrides:

equals in class Object

Returns:

true if same class and hashcode

setExcludeClass

public void setExcludeClass(boolean value)

Sets whether to exclude the class from the hashcode computation.

Parameters:

value - if true the class value gets excluded

getExcludeClass

public boolean getExcludeClass()

Returns whether the class is excluded from the hashcode computation.

Returns:

true if the class is excluded

setExcludeWeight

public void setExcludeWeight(boolean value)

Sets whether to exclude the weight from the hashcode computation.

Parameters:

value - if true the weight value gets excluded

getExcludeWeight

public boolean getExcludeWeight()

Returns whether the weight is excluded from the hashcode computation.

Returns:

true if the weight is excluded

invalidateHashCode

protected void invalidateHashCode()

Invalidates the hash code.

computeHashCode

protected abstract int computeHashCode()

Computes the hashcode.

Returns:

the hash code

See Also:

#m_ExcludeClass, m_ExcludeWeight

hashCode

public int hashCode()

Returns the hashcode of this Instance, computes it if neccessary.

Overrides:

hashCode in class Object

Returns:

the hashcode

See Also:

computeHashCode()