55 results about "User code" patented technology

The invention belongs to the field of code vulnerability detection and restoration, and discloses a code vulnerability detection and restoration method and system based on a general large model, and the method comprises the steps: employing a multi-channel RAG technology, searching a vulnerability library based on a vector embedding method, and retrieving similar vulnerability entries; analyzing the user code structure features based on the abstract syntax tree to obtain predicted vulnerability information; analyzing user intention and code logic based on knowledge extraction to generate a preliminary repair scheme; and carrying out weighted integration on the similar vulnerability entries, the predicted vulnerability information and the preliminary repair scheme, and inputting the integrated results into the general large model to obtain a final detection result and a repair scheme. According to the method, the multi-channel RAG technology is used, related professional content is preferentially retrieved as auxiliary input, the capacity of a general large model in the aspects of code vulnerability detection and repair is improved, and therefore the code quality is guaranteed.

The invention discloses an auxiliary programming teaching method and system based on a large model. The method comprises the steps that a programming code test data set is constructed, the large model is selected, and a cue word template is constructed; collecting a user code error correction problem and an error code, generating an intelligent review, correct code or pseudo code cue word, inputting the intelligent review cue word into the first large model to obtain intelligent review information, and inputting the correct code or pseudo code cue word into the second large model to obtain a correct code or pseudo code; generating a detailed guidance cue word, and inputting the first large model to obtain detailed guidance information; generating a key dial cue word, and inputting the key dial cue word into the first large model to obtain key dial information; and generating knowledge point cues, inputting the knowledge point cues into the first large model to obtain knowledge point information, and sequentially pushing intelligent examination questions, key dials, detailed guidance, correct codes or pseudo codes and knowledge points to the user according to user cognitive logic. The invention relates to the field of artificial intelligence, a large model can be applied to digital programming teaching, and the accuracy of the model is improved.

Provided is a system for managing a pool of compute resources usable to execute user codes such as containerized software applications. The pool may include a plurality of sub-pools of compute instances that are each suited to handle a specific type of code execution requests and / or a specific set of capacity or resource configurations. For example, when a code execution request is received, the system may determine compute capacity from which sub-pool would be best suited to handle the request, and direct the request to that sub-pool (or execute the user code using compute capacity from that sub-pool). Each sub-pool may be assigned a generational indicator that indicates its level of use (e.g., rarely used, moderately use, frequently used, etc.) and / or its age (e.g., brand new, young, old, etc.). As a sub-pool experiences continued use, the sub-pool may be promoted and its retention / replenishment policy may be updated accordingly.

The invention discloses a method for improving code writing efficiency. The method comprises the following steps: S1, acquiring and preprocessing a user programming instruction sequence; s2, constructing a behavior feature model, and generating a semantic map sequence in combination with big data analysis; s3, analyzing a user code and a project structure, and extracting context features of the code; s4, based on the semantic map sequence and code context features, using Transform to predict a current position code sequence under grammar constraints, and generating candidate segments; s5, grading and sorting the candidate segments according to the context structure matching degree, the semantic similarity and the confidence coefficient of the behavior feature model; s6, presenting the candidate code snippet with the highest score to the user and recording the response behavior of the user; and S7, storing the candidate code snippets and user feedback data, and updating model parameters and generation logic in real time. According to the method, through behavior-driven modeling, context fusion prediction and a multi-factor dynamic scoring mechanism, the code writing efficiency and quality are remarkably improved.

Methods, systems, and apparatus, including computer programs encoded on computer storage media, for generating cross-platform applications. One of the methods includes receiving a request to generate one or more applications configured to perform one or more algorithms, wherein each of the one or more applications is configured to perform the one or more algorithms on a respective corresponding platform of a plurality of platforms; obtaining input data that represents user code that comprises the one or more algorithms; and processing at least a set of target language code derived from the input data to generate, for each of the respective corresponding platforms, a respective buildable application.

The application provides an adaptation method and device and a computer readable storage medium, relates to the technical field of application software, and can provide functional support for automatic code replacement execution and scheme between source adaptation content and target adaptation content. The method comprises the following steps: when an adaptation application request is submitted, target parameters are configured, including an adaptation environment, basic data, a code library address and a function list; in the case of completed configuration, the adaptation application request is submitted to an automatic adaptation service through a form; the code library address information is transmitted to a machine learning service through the automatic adaptation service, and machine learning training is performed through the machine learning service; the function set in the code file information and adaptation requirements are used for rule matching on an adaptation rule library; in the case of successful matching, a code replacement operation is performed on user code; and based on the file name and file position information of the replaced user code, a code submission request is triggered. The application is applied to automatic code replacement execution.

The present invention discloses a visualized quantum computing programming system, comprising a quantum circuit visualization unit for visualizing each qubit based on a received user code and visualizing the quantum gate processing of each qubit according to a time sequence; a qubit visualization unit for visualizing the amplitude and phase of a qubit in its initial state, as well as the amplitude and phase of each qubit in its intermediate or final state, and displaying the entanglement relationship between different bases; and an evolution visualization unit for visualizing the corresponding phase and amplitude changes when each qubit in different quantum algorithms or different variants of the same quantum algorithm evolves from its initial state to its final state. This visualized quantum computing programming system can effectively help users understand the quantum computing process and improve the efficiency of quantum computing development.

The present invention discloses a method and apparatus for monitoring user abnormal coding, relating to the field of computer technology. A specific implementation of the method includes: obtaining a call request from a user to call a tool class method library; determining whether the address corresponding to the call request is in a preset whitelist, and determining the result of the determination; if the result is negative, reporting the data corresponding to the user according to the call request; if the result is positive, sending the call request. This implementation avoids the technical drawback of the prior art that it is impossible to monitor users who are writing malicious code, thereby achieving the beneficial effect of real-time monitoring of whether users have abnormal coding behavior.

A specification of a data query received via a first section of a user interface is received at a client device. Query result data of the data query is received using a first programming language. A data structure storing at least a portion of the query result data is generated at the client device for a second programming language different from the first programming language. A specification in the second programming language of user code utilizing the generated data structure is received via a second section of the user interface. A program of the user code specified in the second programming language is executed at the client device.

A code processing system (100) is provided with an operating system (30) and a standby system (40). The operating system (30) and the standby system (40) are each configured so as to generate a multi-bit user code (12) when a code request from a user terminal (11) is received. The user code (12) includes a system code unique to a system (30, 40) that generates the user code (12) in a prescribed bit. The user code (12) generated by the working class system (30) is a working class code, and the user code (12) generated by the standby class system (40) is a standby class code. The code processing system (100) is configured so as to transmit, to a user terminal (11), either a working-class code or a standby-class code on the basis of error information in the working-class system (30).

The invention provides an interactive code user code scanning behavior security verification method, system and device and a medium. The method comprises the steps of displaying a target code scanning interface in response to a code scanning authentication instruction, then extracting target coding information in a target interaction code in a first area in the target code scanning interface, and obtaining user authentication information through a second area, so as to perform code scanning behavior security verification on the user authentication information according to the target coding information, therefore, synchronous extraction and parallel processing of the coding information and the user authentication information are realized, and the operation efficiency of the verification process is effectively improved.

The application provides a simulation object generation method and device and a computing device. The method comprises the following steps: a compiler obtains user code, the user code comprising a first declaration statement and a first generation statement, the first declaration statement defining the type of a target object, and the first generation statement being used to generate a corresponding simulation object according to the type of the target object; the compiler generates a compiled second declaration statement according to the first declaration statement and the first generation statement, the compiled second declaration statement defining the type of the simulation object generated by the compiler and the calling relationship between the simulation object and the target object; and the compiler generates an executable file of the computing device according to the first declaration statement, the compiled second declaration statement and the first generation statement, the executable file comprising the compiled first declaration statement, the compiled second declaration statement and the compiled first generation statement. The scheme can expand the use range of the mock mechanism and improve the development efficiency of test code.

The present invention provides a method and system for predicting early information dissemination based on a diffusion model. The steps of the method include: obtaining a statistically obtained user social graph, the users currently participating in the information dissemination to be predicted, and the time points at which these users participate in the dissemination; determining user codes of the users participating in the information dissemination to be predicted based on the user social graph, and determining a user sequence group based on the user codes and the time points at which these users participate in the dissemination; sequentially constructing a historical dissemination sequence based on the user sequence group; inputting the historical dissemination sequence into a cascaded representation learning module to obtain a first cascaded representation sequence group; inputting the first cascaded representation sequence group into a pre-trained cascaded generation model, the cascaded generation model outputting a second cascaded representation sequence group, the cascaded generation model being a structure of a diffusion model; and inputting the second cascaded representation sequence group into a pre-trained popularity prediction module to output a predicted popularity value.

The embodiments of the present disclosure relate to a code editing method and apparatus, a device, and a storage medium. The method provided herein comprises: based on a received code editing request, determining a first group of context information associated with a code editing request; constructing target information corresponding to the code editing request, wherein the target information at least represents an editing scenario of the code editing request; based on the target information, determining a second group of context information from among the first group of context information; and constructing prompt information of a target model based on the second group of context information, so as to process the code editing request by using the target model. In this way, the embodiments of the present disclosure allow for information collected from a code repository to be sorted and concatenated according to user coding intent, ultimately constructing prompt information for reasoning, so as to process the code editing request of the user, thereby improving the accuracy of code editing request processing.

The invention discloses a deployment system and method for a large language model agent, and the system comprises a node generation module and a node management module, the node generation module analyzes a user code, automatically generates an agent node and a tool node according to logic and functions, and completes the packaging and deployment of a non-perceptual function; the latter is responsible for life cycle management, data interaction and resource scheduling of the nodes, and dynamic optimization of calculation and communication resources is realized; according to the method, a server non-perceptual calculation concept is introduced, the agent workflow is subjected to formalized modeling, the agent workflow is abstracted into a structure composed of a plurality of working nodes and a connection relation thereof, so that cold start and data exchange expenses are reduced, and through modular design and accurate abstraction of the large language model workflow, a large language model workflow is obtained. The expandability, the execution performance and the deployment efficiency of the intelligent agent system are remarkably improved, and technical support is provided for high-performance and low-delay operation under multiple scenes.

The invention provides a VR depth perception training method, device and equipment based on Unity, and belongs to the technical field of virtual reality. The VR depth perception training method comprises the following steps: acquiring a user code input by a subject on a graphical user interface, wherein the user code is used for recording behaviors of the subject and binding a depth perception test result of the subject; generating a depth perception training environment corresponding to the training mode by using a Unity engine, wherein the depth perception training environment comprises a control body, a plurality of capsule bodies and a VR simulation background; controlling the plurality of capsule bodies to randomly move and zoom in the VR simulation background within a preset time; after the capsule body is static, the control body is kept to track the moving state of the handle of the subject on the sagittal axis in real time, so that the control body and the selected capsule body are aligned in the vertical direction; and generating a depth perception test result of the subject according to the depth perception test rule and the movement information of the control body. The problem that an actual motion scene is difficult to simulate in the prior art can be solved.

Methods, apparatus, and processor-readable storage media for automatically modifying user code using artificial intelligence techniques are provided herein. An example computer-implemented method includes obtaining user-provided code and one or more items of information associated with the user-provided code; determining code functionality information and one or more execution-related details associated with the user-provided code by processing at least a portion of the user-provided code and at least a portion of the items of information using artificial intelligence techniques; generating one or more code segments, related to one or more portions of the user-provided code, by processing the code functionality information and the execution-related detail(s) using the artificial intelligence techniques; executing at least a portion of the code segment(s) in at least one simulation environment; and performing one or more automated actions based on results from executing the at least a portion of the code segment(s).

The embodiment of the invention relates to a code generation method based on a large language model and electronic equipment. The code generation method based on the large language model comprises the following steps: receiving a user query, wherein the user query comprises user demand description; based on template information of a plurality of candidate templates in a template library, at least one candidate template corresponding to the user query is selected from the template library, and the plurality of candidate templates and the template weight of each template in the plurality of candidate templates are stored in the template library; wherein the template weight is associated with the use frequency of the corresponding template and the result condition of generating the code by using the corresponding template; and inputting the user query and the at least one candidate template into the large language model to generate a code response corresponding to the user query. In this way, the success rate and accuracy of online user code generation are improved.

The invention provides a method for modifying a heat transfer coefficient of a user-defined heat transfer pipeline based on Modelica. The method for modifying the heat transfer coefficient of the user-defined heat transfer pipeline based on Modelica comprises the following steps: step 10, receiving an input instruction of a user for variable modification required for calculating a heat transfer coefficient relational expression in a heat transfer coefficient modification interaction window of the user-defined heat transfer pipeline. And the heat transfer coefficient modification interaction window of the self-defined heat transfer pipeline only supports the modification of variables required by the calculation of the heat transfer coefficient relational expression. And step 20, modifying the custom heat transfer pipeline model according to the input instruction to form a modified custom heat transfer pipeline model. According to the method, a user is allowed to customize the heat transfer coefficient relational expression of the heat transfer pipeline in a very simple mode, so that the technical problem that inconvenience is caused due to the fact that the requirement for the user code level is high in the heat transfer coefficient relational expression modification process of an existing custom heat transfer pipeline module is solved.

Techniques for data access control in data processing applications are described. A portion of user code including a first data access directed to a data source is received from an application. An identity associated with the portion of user code is obtained. A policy including an access control rule that limits access to the data source based at least in part on the identity is obtained. Data access code is generated by evaluating at least a portion of code associated with the first data access. A permitted data access result that complies with the policy is obtained by evaluating the data access code. The permitted data access result is sent to the application.

This disclosure provides a method for building a page and related equipment. Specifically, the method for building a page includes: displaying a first interface for a target event in the page to be built; wherein the first interface matches a first data model, and the first interface includes a target object; in response to a first operation on a target area of ​​the target object, displaying at least one preset logical node identifier; and in response to a selection operation on any of the logical node identifiers, displaying a logical node corresponding to the selected logical node identifier and the logical relationship between the logical node and the target object in the target area. Using this method, users can edit the first data model through interaction with the first interface, achieving the technical effect of visually configuring logical nodes and logical relationships, and reducing the coding ability requirements for configuring logical actions.

The present invention relates to the technical field of information processing, and provides a method, apparatus, storage medium, and terminal for dynamically obtaining report fields through configuration. The method includes: obtaining a preset target bill template report according to a target user code; obtaining a target user bill report; determining target fields, where the target fields are common fields between the target user bill report and the target bill template report; and extracting data corresponding to the target fields in the target user bill report to obtain a target report pointed to by the target user code. The method of the present invention can quickly and specifically download the report content required by the user, avoiding the export of some irrelevant fields that interfere with the user's viewing.

The present invention relates to the field of electronic digital data processing technology, and specifically to a low-code visual programming system based on bidirectional AST dynamic parsing, the system including a user code optimization module, the optimization module including: a data acquisition module, a pre- and post-modification indicator acquisition module, a modification feature acquisition module, a weight acquisition module, a model acquisition module and a code optimization processing module, by obtaining the tag sequence of the code before and after the modification and the AST structure composed of the tag sequence when the user modifies the system-generated code in the code editor, thereby determining the code modification feature learning weight corresponding to each modification, and combining the code based on the pre- and post-modification code to train a code enhancement model, and obtain a trained code enhancement model for optimizing the code automatically generated for each user visual operating system during the drag-and-drop interface construction process. The present invention effectively reduces the cost of the entire visual programming and the overhead of forward parsing.

The invention relates to the technical field of electrical digital data processing, in particular to a low-code visual programming system based on bidirectional AST dynamic analysis, which comprises a user code optimization module. The optimization module comprises a data acquisition module, an index acquisition module before and after modification, a modification feature acquisition module, a weight acquisition module, a model acquisition module and a code optimization processing module. According to the method, the code modification feature learning weight corresponding to each modification is determined according to the mark sequences of the codes before and after modification and the AST structure formed by the mark sequences, and the code enhancement model is trained in combination with the codes before and after modification; the trained code enhancement model is obtained and used for optimizing codes automatically generated by the user for visualizing the operating system every time in the drag-and-drop interface construction process. According to the method, the cost of the whole visual programming and the overhead of forward analysis are effectively reduced.

The application discloses a speech synthesis method and device, a computer and a storage medium, and relates to the technical field of speech synthesis. The method comprises the following steps: processing a text sequence to obtain a text hidden vector; extracting prosodic features from a prosodic reference audio to obtain a prosodic hidden vector; obtaining a user coding vector corresponding to a user identifier; synthesizing the text hidden vector, the prosodic hidden vector and the user coding vector to obtain target acoustic features; and performing speech synthesis based on the target acoustic features to obtain a target audio file corresponding to the text sequence. The method makes the obtained target audio file not only related to the text content corresponding to the text sequence, but also related to the prosodic style in the prosodic reference audio and the user voice timbre corresponding to the user identifier, which helps to guarantee the speech synthesis effect of the target audio file and improve the naturalness of the synthesized speech.

The application discloses a kind of software development intelligent optimization methods based on user behavior data feedback, and the application relates to computer software engineering and artificial intelligence technical field, full-link behavior data acquisition and pretreatment: in client and server deployment non-invasive burying point probe, the operation behavior sequence of real-time acquisition user, stay duration, interaction frequency and corresponding server interface response data, the data collected are washed, denoised and conversation aggregation, construct user behavior time sequence atlas, behavior-code mapping model construction: obtain the source code of software system, parse and generate abstract syntax tree and static control flow graph, the application is in: it has built the real feedback closed loop of " user-code ": unlike prior art only focus on the test of code internal logic, the application will " user behavior data " as core driving force, ensure that the direction of optimization is the pain point that user most perceives, realizes truly user-centered software development.

The embodiment of the invention discloses a code inspection method and device, electronic equipment and a storage medium, and relates to the technical field of artificial intelligence code inspection.The method comprises the steps that inspection requirements are obtained, the inspection requirements are rendered through a dynamic rendering technology to obtain cue words, and an instruction set is obtained according to the cue words; obtaining user code data, carrying out differential processing to obtain change metadata, and carrying out secure transmission on the change metadata by adopting an encryption technology to obtain an encrypted code packet; carrying out encryption transmission, decryption and verification on the encrypted code packet through an HTTPS protocol and a JWT verification technology to obtain an original code file, and carrying out storage and task creation on the original code file to obtain a code detection record; calling a large model service based on the asynchronous task queue to inspect the code data according to the code detection record and the instruction set to obtain an inspection result, and processing and visualizing the inspection result. The problems of low code inspection efficiency, high cost and limited coverage rate in the prior art are solved.

To provide a development method and system belonging to a vehicular software development technical field, specifically, capable of dynamically extending a user interface based on a software platform.SOLUTION: A development method capable of dynamically extending a user interface based on a software platform dynamically extracts type information on a window in an execution library of a software platform by an interface manager, during execution of the software platform, succeeds the type information and forms a dynamic derivation base window. When the attribute and / or the call event of the dynamic derivation base window is subjected to N+1 times of derivation correction, an N+1 times derivation code file is created. The N+1 times derivation code file includes an N times derivation code fine introduction code, an N+1 times window dynamic creation code and / or a user code, here, N≥1. The N+1 times derivation code file is executed, and an N+1 times derivation user interface is formed.SELECTED DRAWING: Figure 1

This application provides a method, apparatus, device, and readable storage medium for optimizing UI lag in a Swing system. The method includes: an Event Deployment Thread (EDT) detecting whether each code block in the target user code is a time-consuming code block, wherein the target user code is bound to the UI event currently being responded to by the EDT; the EDT encapsulating the time-consuming code block into a time-consuming task and submitting it to an asynchronous task executor, which allocates a background thread independent of the EDT for execution; after submitting the time-consuming task, the EDT calls the `enter` method of the `SecondaryLoop` interface to start a secondary EDT event loop, blocking the execution of subsequent code blocks in the target user code while responding normally to new UI events; after receiving feedback that the time-consuming task has completed execution, the EDT calls the `exit` method of the `SecondaryLoop` interface to exit the secondary EDT event loop, resuming the execution of subsequent code blocks in the target user code. This application can solve the lag problem while ensuring the correctness of the original logic, without requiring large-scale modification and refactoring of the user code.