43 results about "Snippet" patented technology

A system and method for a comparative web search engines, search result summarization, web snippet processing, comparison analysis, information visualization, meta-clustering, and quantitative evaluation of web snippet quality are disclosed. The present invention extends the capabilities of web searching and informational retrieval by providing a succinct comparative summary of search results at either the object or thematic levels.

The invention discloses a code snippet recommendation method based on a sequence-to-sequence model. The method comprises the steps of collecting and cleaning code snippets and corresponding queries; extracting code information; performing an identifier replacement operation on the code snippets; combining the code snippets after the identifier replacement operation and the corresponding queries into a set of (code, query) pairs, and taking the set as a training set of a query generation model; training a query generation model by using the sequence-to-sequence model; generating a query for thecode snippets of the recommendation code library; inputting a query, and executing similarity calculation between the query and the generated query; and according to a similarity calculation result,constructing a generated query list according to a descending order of similarity scores, and retrieving code snippets corresponding to queries in the list from a recommendation code library to serveas code snippet recommendation results. The method is superior to some existing research works, the code snippet recommendation effect can be effectively improved, and the software development efficiency is improved.

To realistically animate a String (such as a sentence) a hierarchical search algorithm is provided to search for stored examples (Animation Snippets) of sub-strings of the String, in decreasing order of sub-string length, and concatenate retrieved sub-strings to complete the String of speech animation. In one embodiment, real-time generation of speech animation uses model visemes to predict the animation sequences at onsets of visemes and a look-up table based (data-driven) algorithm to predict the dynamics at transitions of visemes. Specifically posed Model Visemes may be blended with speech animation generated using another method at corresponding time points in the animation when the visemes are to be expressed. An Output Weighting Function is used to map Speech input and Expression input into Muscle-Based Descriptor weightings

The invention belongs to the technical field of network security, and particularly relates to a program semantic confusion method and system based on natural language process.The method comprises the steps that firstly, a text sequence used for describing a program execution process is extracted from a flow description text corpus, and a confusion corpus material library with induction and fuzzy functions is constructed; secondly, vectorizing the target program code snippets, selecting text sequences irrelevant to the target program code snippets from the obfuscated corpus material library according to the semantic information as prompt output class codes, and fusing the prompt output class codes to the positions of the target program code snippets; according to the method, the semantic confusion corpus with inductivity and fuzziness is fused into the target code, the confusion code with semantic analysis resistance is generated, understanding of reverse analysts on real functions of a program can be misguided, the code understanding difficulty is increased, legal software can be effectively prevented from being pirated or maliciously tampered, and the method has good application prospects.

The invention discloses an interface management method and device, terminal equipment and a medium. The interface management method comprises the steps: adding to-be-processed items created by different ways to a terminal interface; adding the notes created by different ways to the terminal interface; and accessing the terminal interface in response to at least one trigger operation, and editing and managing the terminal interface. According to the interface management method provided by the invention, the functions of newly creating notes, checking existing notes, newly creating to-be-handled notes, checking existing to-be-handled notes, and editing and managing existing to-be-handled notes, snippets and continuous snippets are integrated on the terminal interface, the functions are powerful, partition is reasonable, operation is easy, and typesetting is elegant.

Systems and methods for identifying a characteristic of an input code by converting the input code into simplified code and using the simplified code to generate snippets that can be compared to code in a database. Preferably, code is simplified by at least one of: unifying of capitalization, removing characters, and replacing at least one of a character and a keyword with an identifier.

Systems and methods for indexing and accessing code snippets in repositories. A program graph index is maintained for code snippets within a repository with documents that have at least one code snippet. The program graph index includes a program graph indicating a relationship between program elements within each source code snippet within the documents. A user provided code snippet is received and a target program graph indicating a relationship between program elements within the user provided code snippet is determined and compared to each respective program graph. Based on the comparison, an identified set of documents within the repository of documents is determined that have code snippets with respective program graphs that are also at least a sub-tree of the target program graph. At least one document in the identified set of documents is presented to a user.

Implementations are described herein for automatically identifying, recommending, and/or effecting changes to a legacy source code base by leveraging knowledge gained from prior updates made to other similar legacy code bases. In some implementations, data associated with a first version source code snippet may be applied as input across a machine learning model to generate a new source code embedding in a latent space. Reference embedding(s) may be identified in the latent space based on their distance(s) from the new source code embedding in the latent space. The reference embedding(s) may be associated with individual changes made during the prior code base update(s). Based on the identified one or more reference embeddings, change(s) to be made to the first version source code snippet to create a second version source code snippet may be identified, recommended, and/or effected.

A method, apparatus and computer program product are provided to generate or modify information about a navigable area of an indoor space. In the context of a method, location data is received or determined for a plurality of location trace snippets associated with one or more mobile devices. Each location trace snippet of the plurality of location trace snippets respectively represents a plurality of respective locations of a respective mobile device within the indoor space over a respective limited period of time. The respective limited period of time associated with a location trace snippet may be defined based upon satisfaction of a trigger condition. Based on the location data for the plurality of location trace snippets, the method also generates or modifies information about one or more navigable areas of the indoor space.

The invention discloses a front-end code generation method and device, electronic equipment and a storage medium, and is applied to the field of big data or finance. The method comprises the following steps: acquiring an initial fragment of a front-end code to be written currently in a static page, extracting a code tag from the initial fragment, searching master code fragments all related to the code tag from a code database based on the code tag, and determining a target master code fragment with the highest weight value as the front-end code to be written currently. Therefore, the common front-end codes are stored in the code database in the form of the master code snippets, so that when a developer compiles similar front-end codes again, the corresponding front-end codes can be directly obtained from the code database based on the initial snippets of the front-end codes to be compiled at present, therefore, repeated work caused by writing repeated codes by developers is effectively reduced, and the generation efficiency of the front-end codes is improved.

The invention relates to a cloning consistency change prediction method and system based on a hierarchical neural network, and the method comprises the following steps that: a preprocessing module carries out the preprocessing of code snippet data, converts a code snippet into an abstract syntax tree form, and carries out the coding of nodes on the syntax tree through word2vec, and obtains a coding snippet; a code snippet feature extraction neural network module establishes a code snippet feature extraction neural network and extracts feature information of code snippets; a clone group feature extraction neural network module establishes a clone group feature extraction neural network, fuses the feature information of the code snippets and extracts the feature information of clone groups; a clone evolution feature extraction neural network module establishes a clone evolution feature extraction neural network, fuses feature information of a clone group and extracts feature information of clone evolution; and an evaluation module evaluates the clone evolution feature information by using a ten-fold cross validation method, and outputs the accuracy rate, the recall rate and the F1 value of a prediction result.

The invention discloses a code conflict elimination method and device and a storage medium, and relates to the technical field of computers, the probability that code snippets deviate from reserved snippets can be determined through code editing data of developers, and therefore code conflicts can be eliminated on the basis of the probability that the code snippets deviate from the reserved snippets. The code snippets with conflicts do not need to be compared manually, the efficiency of eliminating the code conflicts can be greatly improved, and therefore the development efficiency of software products can be improved. The method comprises the steps that under the condition that it is determined that at least two code snippets have code conflicts, at least one kind of code editing data of developers corresponding to the code snippets is obtained; determining code maturity of the code snippets based on the at least one type of code editing data; the code maturity is used for representing the probability that the code snippets deviate from the reserved snippets; and based on the code maturity, code conflicts are eliminated.

The invention discloses a Java-based code snippet failure strategy protection method and device, and relates to the technical field of foundations. The method comprises the following steps of: packaging a container class which transmits a result value and an exception at the same time, abstracting a given code snippet as an execution context, defining a strategy interface, returning an execution result or abnormity of a strategy after the execution context is obtained for the strategy to be realized, constructing an executor of a strategy combination, allowing a plurality of strategies to be nested and combined into a composite strategy according to an incoming sequence; creating various strategies according to needs, and realizing a Policy interface; and assembling multiple strategies and transmitting into the code snippets. According to the method, failure strategy protection which is high in readability, high in expansibility, reusable and configurable is adopted for the specified code snippets, the code maintainability is improved, and the application prospect is wide.