Classification Dataset that is initialized by carving a part of array of samples the resulted dataset is unbalanced in terms of solution

Factory of sequential DNN blocks for processing sequences of tokens for code classification and similarity analysis Provides functions

Balanced classification Dataset where is problem has proportionally correct number of solutions Class of objects representing a classifi

Factory of DNNs for code classification and similarity analysis Provides functions for creating DNNs of different types If the number

Statistics of the part of set of samples: similar, left or right

Class for making datasets to train source code similarity analyser by sequence of tokens technique Specializes parent class with fun

Class for constructing and analysing confusion matrix

Class for constructing and analysing confusion matrix

r"""Data loader which merges data objects from a :class:`torch_geometric.data.dataset` to a mini-batch. Args: dataset (Dataset): The

Class defining statistics of dataset: test validation or training

Factory of DNNs for code classification and similarity analysis Provides functions for creating DNNs for similarity analysis of source

Class for making datasets to train sequence of tokens classifiers Specializes parent class with functions computing samples as seque

Class for making datasets to train bag of tokens classifiers of source code Specializes parent class with functions computing bag of toke

Dataset maker for source coode similarity analyser using Bag of Tokens technique Loads files of tokenized source code files from the giv

Class for debugging tokenizer

Class for making experimental DNNs Provides functions for creating experimental DNNs both for classification and similarity analysis of

Class for constracting COMPLETE test dataset of sequence of tokens for similarity analysis The dataset has all pairs of all problem solu

Clustered source code of problem solutions

Exception on incorrect token

Input: x: default node feature. depth: The depth of the node in the AST. Output: emb_dim-dimensi

r"""Implements data parallelism at the module level. This container parallelizes the application of the given :attr:`module` by splitting a l

Class for tokenizing source code file The resulted sequence reprersents all operator and keyword tokens Uses file cls.TMP_TOKENIZATION fo

Statistics on problems usage in dataset

Class for tokenizing solutions of all given problems of CodeNet dataset and writing down tokenized solution code to dataset

Class for making experimental DNNs Provides functions for creating experimental DNNs both for classification and similarity analysis of

Output: node representations

Output: node representations

Class for tokenizing solutions of all problems of imported datset, which is different from CodeNet and writing down tokenized solution co

Class for making datasets to train source code similarity analyser by sequence of tokens technique Specializes parent class with fun

Class for making datasets to train source code similarity analyser of sequence of tokens Specializes parent class withcomputing sequence

Class for tokenizing one file of source code The tokenization is represented with 17 token classes

Cluster of vectors

Base class for tokenizing solutions of all problems and writing down tokenized solution code to dataset Defines data and functions common

Base class for factories of DNN models Supplies utility methods of other DNN factories

Base abstract class for tokenizing one file of source code

Base class for classes specifying classification datasets

Dataset maker Loads files of tokenized source code files from the given directory and Prepares data set for classifier of source codes

Base class for analysis of confusion information It performs intialization common for child classes and provides utility functions for th

This class provides an empty implementation of {@link CymbolListener}, which can be extended to create a listener which only needs to handle a subset

This class provides an empty implementation of {@link CymbolListener}, which can be extended to create a listener which only needs to handle a subset

This interface defines a complete listener for a parse tree produced by {@link CymbolParser}.

This interface defines a complete listener for a parse tree produced by {@link CymbolParser}.

r"""Data loader which merges data objects from a :class:`torch_geometric.data.dataset` to a python list. .. note:: This data loader

Class for randomization of data samples Provides random seeds for randomization of datasets

r"""Data loader which merges data objects from a :class:`torch_geometric.data.dataset` to a mini-batch. .. note:: To make use of thi

Class for constracting TF dataset from two lists of sequences of tokens and array of labels