semeru/text-code-CodeSummarization · Datasets at Hugging Face

input stringlengths 10 828	output stringlengths 5 107
public object get meta data value string meta data key pair object integer pair meta data get meta data key if pair null return pair get first return null	returns the value of this meta data or null if not existent
public void set append unkown words boolean append words this append words append words	sets the append words
public void prune by absolute frequency int min int max iterator word list entry e entries iterator while e has next word list entry current word e next if current word get document frequency min current word get document frequency max e remove word map remove current word get word	prune the word list by document frequencies
public void prune by relative frequency double min percentage double max percentage int min frequency int number of documents min percentage 100 int max frequency int number of documents max percentage 100 prune by absolute frequency min frequency max frequency	prune the word list by relative document frequencies
public string get word int index return entries get index get word	returns the word list entry with the given index
public void sort collections sort entries new comparator word list entry override public int compare word list entry o1 word list entry o2 return o1 get word compare to o2 get word	this sorts the list
protected memory example table get target example table throws user error return new memory example table new linked list attribute	subclasses might override this method if the supply a different table
public string stem string word normalize word char c word to char array int len c length len arabic norm normalize c len char normalized word new char len for int i 0 i len i normalized word i c i stem the normalized word len ara light stemmer stem normalized word len char light word new char len for int i 0 i len i light word i normalized word i string buffer sbuf new string buffer sbuf append light word return sbuf to string	returns the stemmed version of the given word
public string stem string word return khoja format word word	returns the stemmed version of the given word
public string stem string word if word length 2 return recode ending remove ending word to lower case return word to lower case	returns the stemmed version of the given word
public void set current string value current replace 0 current length value cursor 0 limit current length limit backward 0 bra cursor ket limit	set the current string
public string get current string result current to string make a new string buffer if we reuse the old one and a user of the library keeps a reference to the buffer returned for example by converting it to a string in a way which doesn t force a copy the buffer size will not decrease and we will risk wasting a large amount of memory thanks to wolfram esser for spotting this problem current new string buffer return result	get the current string
private document remove cdata document dom iterator it dom get descendants new filter private static final long serial version uid 23984623871 l override public boolean matches object obj return obj instanceof cdata while it has next it next it remove return dom	this method just removes all cdata elements from the dom tree
private void add tokens mime multipart multipart list token tokens throws messaging exception ioexception for int i 0 i multipart get count i body part part multipart get body part i object content part get content if content instanceof mime multipart add tokens mime multipart content tokens else if content instanceof string tokens add new token string content 1f	recursively adds parts as tokens
public void add occurance float weight current document count weight	add an occurrence of the word for the document currently processed
public float get current document frequency return current document count	return the frequency for the current document
public int get document frequency return document count	return the document frequency for this word
public float get class frequency int class value if classes are supported and the class value is valid return actual value if label count null if class value 0 class value label count length return label count class value otherwise return 0 return 0f	return the class frequency of this word for a given class
public void add word occurance string word float weight try to find it with the hash word list entry entry word map get word if not found and new words should be added add it if entry null append words if number of classes 0 entry new word list entry word number of classes else entry new word list entry word word map put word entry entries add entry if entry null entry add occurance weight	count the occurrences of the given word
private document remove cdata document dom iterator it dom get descendants new filter private static final long serial version uid 23984623871 l public boolean matches object obj return obj instanceof cdata while it has next it next it remove return dom	this method just removes all cdata elements from the dom tree
public void set int index double value if index data length double new data new double index 1 system arraycopy data 0 new data 0 size data new data if index size size index 1 data index value	this method sets the index to the given value
public double get int index if index size return data index throw new index out of bounds exception	this returns the value at specified index
public void add double value if size data length double new data new double data length 2 system arraycopy data 0 new data 0 size data new data data size value size	this allows to append a value to this array
public void set int index int value if index data length int new data new int index 1 system arraycopy data 0 new data 0 size data new data if index size size index 1 data index value	this method sets the index to the given value
public int get int index if index size return data index throw new index out of bounds exception	this returns the value at specified index
public void add int value if size data length int new data new int data length 2 system arraycopy data 0 new data 0 data length data new data data size value size	this allows to append a value to this array
public void replace first string regex string replacement todo implement throw new unsupported operation exception not implemented yet	replaces the first substring of this string that matches the given a
public void replace all string regex string replacement todo implement throw new unsupported operation exception not implemented yet	replaces each substring of the documents text that matches the given a
private void update indices list document replacement replacements for annotation layer layer annotation layers layer update indices replacements	this method will correct all annotation layer indices to match the performed replacements
public annotation layers get annotation layers return annotation layers	this returns the
protected string get missing value treatment return as is	this returns the missing value treatment of the exported object
protected string get missing value replacement attribute attribute return null	this returns the replacement for missing values if an appropriate missing value treatment
public void add feature feature new feature features add new feature	adds the given feature in the collection to the given list
public void add features collection feature new features features add all new features	adds all features in the collection to the given list
public double get amplitude return amplitude	returns the amplitude of this peak
public void add features feature new features for int i 0 i new features length i features add new features i	adds all features in the array to the given list
public feature get feature int index return features get index	returns the feature with the given index
public double get index point return index point	returns the index point of this peak
public feature get first feature return features get first	returns the first feature
public int compare to non zero value a if math abs this amplitude math abs a amplitude return 1 else if math abs this amplitude math abs a amplitude return 1 else return 0	returns 1 if this peak us higher
public feature get last feature return features get last	returns the last feature
public void set series value series data series this series series	sets the series e
public value series data get series data return series	returns the current series
public void merge value series series io this features add all series io features	adds the features of the given value series to this value series
public int compare to peak a if this amplitude a amplitude return 1 else if this amplitude a amplitude return 1 else return 0	returns 1 if this peak is higher
private void add features for regression value series data series int index regression regression list feature features features add new feature lin piece index reg gradient series get name regression get gradient features add new feature lin piece index axis interc series get name regression get axis interception features add new feature lin piece index discrepancy series get name regression get discrepancy	converts the regression lines to features
public void change parameter int function random generator get global random generator next int functions length get parameters set parameter function type function	changes the combining function
public void set weights double w weights new double w length double sum 0 0 for int i 0 i w length i sum w i for int i 0 i w length i weights i w i sum	sets the weights of this average
public void change parameter int dimension random generator get global random generator next int dimensions length get parameters set parameter without check dimension new integer dimension boolean weight random generator get global random generator next boolean get parameters set parameter without check weight with strength new boolean weight	changes the average type
private void set weights string arguments double w new double arguments length for int i 0 i w length i w i double parse double arguments i set weights w	sets the weights of this average
public void change parameter int mean type random generator get global random generator next int means length get parameters set parameter mean type mean type	changes the average type
public boolean is usable for automatic preprocessing return true	since the combined function is usable in automatic approaches this method returns true
public double length return math sqrt real real imaginary imaginary	returns the length of the vector representation of this complex number
public double get absolute value return length	returns the absolute value of the vector representation of this complex number
public double get argument return math atan2 imaginary real	returns the argument of the vector representation of this complex number
public complex get conjugated complex return new complex this real this imaginary	returns the conjugated complex number
public int get value dimension return value dimension	returns the current value dimension
public complex difference complex a return new complex this real a real this imaginary a imaginary	builds the difference of this and the given complex number
public complex multiply complex a return new complex this real a real this imaginary a imaginary this real a imaginary a real this imaginary	multiplies this number with the given complex number
public double get distance double value return math abs centroid value	returns the distance between the given values and the clusters centroid
public void set value dimension int dimension this value dimension dimension	sets the current dimension of values in the multivariate case
public void scale double scalar this real scalar this imaginary scalar	scales the complex number so that its length is scaled properly
public void reinit cluster this start double positive infinity this end double negative infinity this sum values 0 0 this number of values 0	reinits the cluster before each iteration
public void add value double value sum values value number of values if value this start this start value if value this end this end value	adds a value to this cluster
public void set complex value type int complex value type this complex value type complex value type	sets part of each complex number should be used real imaginary or length
public boolean recalculate centroid if number of values 0 return true else double old centroid centroid this centroid sum values number of values return old centroid centroid	calculates the new centroid
public int get number of values return number of values	returns the number of values
public int get complex value type return this complex value type	returns which part of each complex number should be used
public int compare to cluster c return double compare this start c start	compares two clusters
public int length return series length	returns the number of vectors of this series
public int get number of dimensions if series length 0 return 0 else return series 0 get number of dimensions	returns the dimension of the values of the series
public double get value int index return get value index value dimension	returns the value at the given index
private void reinit clusters cluster clusters for int i 0 i clusters length i clusters i reinit cluster	reinits the given clusters
public double get value int index int dimension switch this complex value type case complex real type return series index get value dimension get real case complex imaginary type return series index get value dimension get imaginary case complex length type return series index get value dimension length default return double na n	returns the value at the given index
private void cluster value series data series cluster clusters for int i 0 i series length i double value get value series i cluster smallest clusters 0 for int j 1 j clusters length j if clusters j get distance value smallest get distance value smallest clusters j smallest add value value	performs one cluster step
public complex get complex int index return get complex index value dimension	returns the complex of the given index in the code value dimension code
private double get value value series data series int index point switch dimension case displacement dimension return series get displacement index point case value dimension default return series get value index point	returns the value for the given index point
public complex get complex int index int dimension return series index get value dimension	returns the complex of the given index in the given dimension
public vector get vector int index return series index	returns the complete value vector of the given index
public string get markup type return markup type	returns the markup type
private int get type double start value double start index double current value double current index double norm factor double improvement current value start value current index start index if improvement norm factor 3 return strong decreasing if improvement norm factor 3 improvement norm factor 1 return decreasing if improvement norm factor 1 improvement norm factor 1 return equal values if improvement norm factor 1 improvement norm factor 3 return increasing if improvement norm factor 3 return strong increasing return equal values	returns the type for the given value configuration
public double get displacement int index return displacements index	returns the displacement value of the given index
public value series data transform value series data series throws operator exception int length get parameter as int length if length 1 throw new operation exception cannot transform series length is smaller than 1 vector result new vector length double displacements new double length for int i 0 i length i if i series length result i series get vector series length length i displacements i series get displacement series length length i else throw new operation exception cannot generate the i th value data too short return new value series data last length series get name displacements result series	generates the k last values of the series as new series
public double get type return type	returns the type of this interval
public double get strength return strength	returns the strength of this interval
public void add dimension value series data new series if length new series length throw new runtime exception incompatible series lengths cannot add new dimension for int i 0 i length i series i series i add dimension new series get complex i	adds the values of the series to this series
public void set start double start this start start	sets the start of this interval
public double get average distance return average distance	returns the average distance of two index points in the series
public void set end double end this end end	sets the end of this interval
public double get length return end start	returns the length of the interval i
public double get maximum value double result double negative infinity for int i 0 i length i if get value i result result get value i return result	returns the maximum value of this series i
public double get minimum value double result double positive infinity for int i 0 i length i if get value i result result get value i return result	returns the minimum value of this series i
public double get distance interval interval boolean reciprocal weights if interval get type type return double na n else todo negative distances probably a better way math max 0 distance double weight interval strength strength if weight 0 0d if reciprocal weights weight 1 0d else weight 1 0d double distance weight math min interval end end math max interval start start return distance	returns the distance between the intervals
private double convert frequency double frequency int nyquist int total length return frequency 2 0d double total length double nyquist	normalizes the frequency to the correct value
public double get distance int index1 int index2 vector vector1 series index1 add dimension new complex displacements index1 vector vector2 series index2 add dimension new complex displacements index2 vector length vector vector1 difference vector2 return length vector length	returns the distance between the vectors of the given indices
public void add markup string markup name markup markup if markups get markup name null markups remove markup name markups put markup name markup	adds a markup with the given name for this series
public value series data transform value series data series throws operator exception return change basis series	invokes the interface method change basis value series
public markup get markup string markup name return markups get markup name	returns the desired markup of null if no markup with this name exists
public int get number of markups return markups size	returns the number of different markups in this series
private double skalar pnorm cos value series data ampl time array int pos double result 0 0d double length 0 0d double delta 2 math pi ampl time array length for int i 0 i ampl time array length i double cos math cos pos i delta result ampl time array get value i cos length cos cos return result length	calculates the result of the normalized skalar product

public object get meta data value string meta data key pair object integer pair meta data get meta data key if pair null return pair get first return null

returns the value of this meta data or null if not existent

public void set append unkown words boolean append words this append words append words

sets the append words

public void prune by absolute frequency int min int max iterator word list entry e entries iterator while e has next word list entry current word e next if current word get document frequency min current word get document frequency max e remove word map remove current word get word

prune the word list by document frequencies

public void prune by relative frequency double min percentage double max percentage int min frequency int number of documents min percentage 100 int max frequency int number of documents max percentage 100 prune by absolute frequency min frequency max frequency

prune the word list by relative document frequencies

public string get word int index return entries get index get word

returns the word list entry with the given index

public void sort collections sort entries new comparator word list entry override public int compare word list entry o1 word list entry o2 return o1 get word compare to o2 get word

this sorts the list

protected memory example table get target example table throws user error return new memory example table new linked list attribute

subclasses might override this method if the supply a different table

public string stem string word normalize word char c word to char array int len c length len arabic norm normalize c len char normalized word new char len for int i 0 i len i normalized word i c i stem the normalized word len ara light stemmer stem normalized word len char light word new char len for int i 0 i len i light word i normalized word i string buffer sbuf new string buffer sbuf append light word return sbuf to string

returns the stemmed version of the given word

public string stem string word return khoja format word word

returns the stemmed version of the given word

public string stem string word if word length 2 return recode ending remove ending word to lower case return word to lower case

returns the stemmed version of the given word

public void set current string value current replace 0 current length value cursor 0 limit current length limit backward 0 bra cursor ket limit

set the current string

public string get current string result current to string make a new string buffer if we reuse the old one and a user of the library keeps a reference to the buffer returned for example by converting it to a string in a way which doesn t force a copy the buffer size will not decrease and we will risk wasting a large amount of memory thanks to wolfram esser for spotting this problem current new string buffer return result

get the current string

private document remove cdata document dom iterator it dom get descendants new filter private static final long serial version uid 23984623871 l override public boolean matches object obj return obj instanceof cdata while it has next it next it remove return dom

this method just removes all cdata elements from the dom tree

private void add tokens mime multipart multipart list token tokens throws messaging exception ioexception for int i 0 i multipart get count i body part part multipart get body part i object content part get content if content instanceof mime multipart add tokens mime multipart content tokens else if content instanceof string tokens add new token string content 1f

recursively adds parts as tokens

public void add occurance float weight current document count weight

add an occurrence of the word for the document currently processed

public float get current document frequency return current document count

return the frequency for the current document

public int get document frequency return document count

return the document frequency for this word

public float get class frequency int class value if classes are supported and the class value is valid return actual value if label count null if class value 0 class value label count length return label count class value otherwise return 0 return 0f

return the class frequency of this word for a given class

public void add word occurance string word float weight try to find it with the hash word list entry entry word map get word if not found and new words should be added add it if entry null append words if number of classes 0 entry new word list entry word number of classes else entry new word list entry word word map put word entry entries add entry if entry null entry add occurance weight

count the occurrences of the given word

private document remove cdata document dom iterator it dom get descendants new filter private static final long serial version uid 23984623871 l public boolean matches object obj return obj instanceof cdata while it has next it next it remove return dom

this method just removes all cdata elements from the dom tree

public void set int index double value if index data length double new data new double index 1 system arraycopy data 0 new data 0 size data new data if index size size index 1 data index value

this method sets the index to the given value

public double get int index if index size return data index throw new index out of bounds exception

this returns the value at specified index

public void add double value if size data length double new data new double data length 2 system arraycopy data 0 new data 0 size data new data data size value size

this allows to append a value to this array

public void set int index int value if index data length int new data new int index 1 system arraycopy data 0 new data 0 size data new data if index size size index 1 data index value

this method sets the index to the given value

public int get int index if index size return data index throw new index out of bounds exception

this returns the value at specified index

public void add int value if size data length int new data new int data length 2 system arraycopy data 0 new data 0 data length data new data data size value size

this allows to append a value to this array

public void replace first string regex string replacement todo implement throw new unsupported operation exception not implemented yet

replaces the first substring of this string that matches the given a

public void replace all string regex string replacement todo implement throw new unsupported operation exception not implemented yet

replaces each substring of the documents text that matches the given a

private void update indices list document replacement replacements for annotation layer layer annotation layers layer update indices replacements

this method will correct all annotation layer indices to match the performed replacements

public annotation layers get annotation layers return annotation layers

this returns the

protected string get missing value treatment return as is

this returns the missing value treatment of the exported object

protected string get missing value replacement attribute attribute return null

this returns the replacement for missing values if an appropriate missing value treatment

public void add feature feature new feature features add new feature

adds the given feature in the collection to the given list

public void add features collection feature new features features add all new features

adds all features in the collection to the given list

public double get amplitude return amplitude

returns the amplitude of this peak

public void add features feature new features for int i 0 i new features length i features add new features i

adds all features in the array to the given list

public feature get feature int index return features get index

returns the feature with the given index

public double get index point return index point

returns the index point of this peak

public feature get first feature return features get first

returns the first feature

public int compare to non zero value a if math abs this amplitude math abs a amplitude return 1 else if math abs this amplitude math abs a amplitude return 1 else return 0

returns 1 if this peak us higher

public feature get last feature return features get last

returns the last feature

public void set series value series data series this series series

sets the series e

public value series data get series data return series

returns the current series

public void merge value series series io this features add all series io features

adds the features of the given value series to this value series

public int compare to peak a if this amplitude a amplitude return 1 else if this amplitude a amplitude return 1 else return 0

returns 1 if this peak is higher

private void add features for regression value series data series int index regression regression list feature features features add new feature lin piece index reg gradient series get name regression get gradient features add new feature lin piece index axis interc series get name regression get axis interception features add new feature lin piece index discrepancy series get name regression get discrepancy

converts the regression lines to features

public void change parameter int function random generator get global random generator next int functions length get parameters set parameter function type function

changes the combining function

public void set weights double w weights new double w length double sum 0 0 for int i 0 i w length i sum w i for int i 0 i w length i weights i w i sum

sets the weights of this average

public void change parameter int dimension random generator get global random generator next int dimensions length get parameters set parameter without check dimension new integer dimension boolean weight random generator get global random generator next boolean get parameters set parameter without check weight with strength new boolean weight

changes the average type

private void set weights string arguments double w new double arguments length for int i 0 i w length i w i double parse double arguments i set weights w

sets the weights of this average

public void change parameter int mean type random generator get global random generator next int means length get parameters set parameter mean type mean type

changes the average type

public boolean is usable for automatic preprocessing return true

since the combined function is usable in automatic approaches this method returns true

public double length return math sqrt real real imaginary imaginary

returns the length of the vector representation of this complex number

public double get absolute value return length

returns the absolute value of the vector representation of this complex number

public double get argument return math atan2 imaginary real

returns the argument of the vector representation of this complex number

public complex get conjugated complex return new complex this real this imaginary

returns the conjugated complex number

public int get value dimension return value dimension

returns the current value dimension

public complex difference complex a return new complex this real a real this imaginary a imaginary

builds the difference of this and the given complex number

public complex multiply complex a return new complex this real a real this imaginary a imaginary this real a imaginary a real this imaginary

multiplies this number with the given complex number

public double get distance double value return math abs centroid value

returns the distance between the given values and the clusters centroid

public void set value dimension int dimension this value dimension dimension

sets the current dimension of values in the multivariate case

public void scale double scalar this real scalar this imaginary scalar

scales the complex number so that its length is scaled properly

public void reinit cluster this start double positive infinity this end double negative infinity this sum values 0 0 this number of values 0

reinits the cluster before each iteration

public void add value double value sum values value number of values if value this start this start value if value this end this end value

adds a value to this cluster

public void set complex value type int complex value type this complex value type complex value type

sets part of each complex number should be used real imaginary or length

public boolean recalculate centroid if number of values 0 return true else double old centroid centroid this centroid sum values number of values return old centroid centroid

calculates the new centroid

public int get number of values return number of values

returns the number of values

public int get complex value type return this complex value type

returns which part of each complex number should be used

public int compare to cluster c return double compare this start c start

compares two clusters

public int length return series length

returns the number of vectors of this series

public int get number of dimensions if series length 0 return 0 else return series 0 get number of dimensions

returns the dimension of the values of the series

public double get value int index return get value index value dimension

returns the value at the given index

private void reinit clusters cluster clusters for int i 0 i clusters length i clusters i reinit cluster

reinits the given clusters

public double get value int index int dimension switch this complex value type case complex real type return series index get value dimension get real case complex imaginary type return series index get value dimension get imaginary case complex length type return series index get value dimension length default return double na n

returns the value at the given index

private void cluster value series data series cluster clusters for int i 0 i series length i double value get value series i cluster smallest clusters 0 for int j 1 j clusters length j if clusters j get distance value smallest get distance value smallest clusters j smallest add value value

performs one cluster step

public complex get complex int index return get complex index value dimension

returns the complex of the given index in the code value dimension code

private double get value value series data series int index point switch dimension case displacement dimension return series get displacement index point case value dimension default return series get value index point

returns the value for the given index point

public complex get complex int index int dimension return series index get value dimension

returns the complex of the given index in the given dimension

public vector get vector int index return series index

returns the complete value vector of the given index

public string get markup type return markup type

returns the markup type

private int get type double start value double start index double current value double current index double norm factor double improvement current value start value current index start index if improvement norm factor 3 return strong decreasing if improvement norm factor 3 improvement norm factor 1 return decreasing if improvement norm factor 1 improvement norm factor 1 return equal values if improvement norm factor 1 improvement norm factor 3 return increasing if improvement norm factor 3 return strong increasing return equal values

returns the type for the given value configuration

public double get displacement int index return displacements index

returns the displacement value of the given index

public value series data transform value series data series throws operator exception int length get parameter as int length if length 1 throw new operation exception cannot transform series length is smaller than 1 vector result new vector length double displacements new double length for int i 0 i length i if i series length result i series get vector series length length i displacements i series get displacement series length length i else throw new operation exception cannot generate the i th value data too short return new value series data last length series get name displacements result series

generates the k last values of the series as new series

public double get type return type

returns the type of this interval

public double get strength return strength

returns the strength of this interval

public void add dimension value series data new series if length new series length throw new runtime exception incompatible series lengths cannot add new dimension for int i 0 i length i series i series i add dimension new series get complex i

adds the values of the series to this series

public void set start double start this start start

sets the start of this interval

public double get average distance return average distance

returns the average distance of two index points in the series

public void set end double end this end end

sets the end of this interval

public double get length return end start

returns the length of the interval i

public double get maximum value double result double negative infinity for int i 0 i length i if get value i result result get value i return result

returns the maximum value of this series i

public double get minimum value double result double positive infinity for int i 0 i length i if get value i result result get value i return result

returns the minimum value of this series i

public double get distance interval interval boolean reciprocal weights if interval get type type return double na n else todo negative distances probably a better way math max 0 distance double weight interval strength strength if weight 0 0d if reciprocal weights weight 1 0d else weight 1 0d double distance weight math min interval end end math max interval start start return distance

returns the distance between the intervals

private double convert frequency double frequency int nyquist int total length return frequency 2 0d double total length double nyquist

normalizes the frequency to the correct value

public double get distance int index1 int index2 vector vector1 series index1 add dimension new complex displacements index1 vector vector2 series index2 add dimension new complex displacements index2 vector length vector vector1 difference vector2 return length vector length

returns the distance between the vectors of the given indices

public void add markup string markup name markup markup if markups get markup name null markups remove markup name markups put markup name markup

adds a markup with the given name for this series

public value series data transform value series data series throws operator exception return change basis series

invokes the interface method change basis value series

public markup get markup string markup name return markups get markup name

returns the desired markup of null if no markup with this name exists

public int get number of markups return markups size

returns the number of different markups in this series

private double skalar pnorm cos value series data ampl time array int pos double result 0 0d double length 0 0d double delta 2 math pi ampl time array length for int i 0 i ampl time array length i double cos math cos pos i delta result ampl time array get value i cos length cos cos return result length

calculates the result of the normalized skalar product