76 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.

A system and method for avoiding problems associated with locks and preemption. After interrupting a rollback section of user code, the kernel causes a roll back” to the first instruction in the section. After the interrupt, when control is returned to the interrupted user-level thread, execution resumes at the beginning of the rollback section, not the point where the interrupt occurred. After interrupting a rollforward section of the present invention, the kernel causes execution to “roll forward” through the section to the last instruction. That is, the kernel essentially suppresses interrupts within a rollforward section, delaying the servicing of any interrupt until the section completes. Spinlocks employing the techniques of the present invention have none of the disadvantages of traditional locks: they formally fit the definition of “lock-free” code.

The invention provides an early information propagation prediction method and system based on a diffusion model. The method comprises the following steps: acquiring a statistical user social graph, a user currently participating in propagation of information to be predicted and a time point when the user participates in propagation; determining a user code of a user participating in propagation of the to-be-predicted information based on the user social graph, and determining a user sequence group based on the user code and a time point at which the user participates in propagation; constructing a historical propagation sequence based on the user sequence group sequence; inputting the historical propagation sequence into a cascade representation learning module to obtain a first cascade representation sequence group; the first cascade representation sequence group is input into a pre-trained cascade generation model, the cascade generation model outputs a second cascade representation sequence group, and the cascade generation model is of a diffusion model structure; and inputting the second cascade representation sequence group into a pre-trained popularity prediction module, and outputting a predicted popularity value.

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.

The invention discloses a computer network security protection method, which relates to the field of computer security technology and comprises the following steps: strengthening login control, formulating security strategies, key generation, generating a key K1 and a key K2 in a data transmission process through a key management service, extracting a user code D, a timestamp T and a hash value H in the key K1 through system operation, combining the key K1 and generating a key K3 according to the timestamp T and the user code D, data encryption, updating and maintaining the key encryption system, daily monitoring and recording, and having multiple means such as using a multi-key encryption method, introducing a timestamp, using a random salt value, adding a random initialization vector, combining an encryption block and a data block, and combining multi-layer encryption and verification information, thereby effectively improving the security and unpredictability of data transmission, thereby enhancing the effect of the quality of computer network security protection.

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 invention discloses a meta-learning recommendation algorithm based on construction of user historical interaction information, and the algorithm comprises the steps: recognizing a plurality of similar users according to the attributes of a user and the user interaction information, carrying out the feature fusion of the plurality of similar users and the user, and enhancing the feature representation of the user; the user codes and the item codes are aggregated, the relation between user features and items is learned through N layers of full-connection layers according to the aggregated new user-item codes, and the user features and preferences are mined; in addition, the algorithm adopts a meta-learning framework to solve the problem of poor recommendation effect under the condition of sparse interaction data of new users and users; finally, experimental results on a public data set MovieLens-1m and an intelligent joint recruitment data set prove that accurate recommendation can be provided for new users and users who are not registered for a long time, and the cold start problem in recommendation is effectively relieved.

The embodiment of the invention provides a target user screening method and system and a medium, and the method comprises the steps: carrying out the screening strategy analysis according to a target marketing scene and target product attribute information, so as to determine a target user screening strategy; based on a preset natural language model, vector coding is carried out on the target user screening strategy, and a target product coding vector is obtained; furthermore, similarity screening is performed according to the target product coding vector and a preset user vector database, so that multiple groups of first user coding vectors matched with the target product coding vector are determined from the preset user vector database. And finally, according to each first user coding vector and the target product coding vector, determining a target user. Therefore, the product features of the target product and shopping behavior preferences of different users can be represented more comprehensively, so that the screening accuracy of the target users is improved.

The invention provides a Serverless traffic protection method based on feature extraction. The Serverless traffic protection method is used for solving the problem of crawler and abnormal traffic protection under a Serverless framework. The method comprises a feature extraction engine, a feature storage module, a decision programming interface and a runtime support module. The feature extraction engine is responsible for extracting traffic features from multiple dimensions such as time, space, behaviors and services, and efficient storage is performed by adopting a sliding bitmap compression algorithm; the decision programming interface supports a user to flexibly use the characteristics through custom codes to carry out protection decision making; and the runtime support module ensures safe isolation running of user codes. The method has the beneficial effects that the feature extraction capability is systematized, the storage overhead is remarkably reduced, a user is supported to customize a protection strategy according to a service scene, and lightweight, programmable and precise traffic protection under a Serverless architecture is realized.

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).

An automated named user audio presentation system and method, where the automated named user audio presentation system is configured to perform or cause performance of the method. The method is a method of outputting audio for one or more named users, and includes: receiving a named user code; identifying a named user based on the named user code; retrieving a named user audio file for the named user; retrieving named user information for the named user; and outputting the named user audio file and the named user information for the named user.

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 present invention discloses a compilation method supporting multi-format half-precision floating-points, comprising the following steps: S1, user code uses the float16 keyword provided by the compiler to declare the half-precision floating-point data type; S2, the user code calls the half-precision floating-point data format switching interface to switch the format as needed; S3, after switching the half-precision floating-point data format, the user code calls the half-precision floating-point data conversion interface provided by the compiler to convert the data format; S4, after completing the half-precision floating-point data format switching and data conversion, the user program performs subsequent calculations in the current half-precision floating-point format, and repeats S2 and S3 when the half-precision floating-point format needs to be switched again. The present invention can give full play to the advantages of the two half-precision floating-point formats of FP16 and BF16 without increasing the complexity of code writing, and meet the needs of using half-precision floating points to accelerate calculations in application scenarios.

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.

A computer-implemented solution is provided to allow electronic locks to implement commands more complex than simply opening or closing, such as timeframe-dependent commands, without requiring an access to the Internet at the time of access. At a remote computer, such as a cloud server, computer-readable instructions initially provided in a sequence of plain text characters, are encrypted into a user code using format preserving encryption (FPE) (e.g. FF3-1). The user code is communicated to the user. The user can then input the user code into the electronic lock via a numerical keypad or other suitable means. The lock is provided with computer functionalities which include a functionality to decrypt the cipher text of the user code back into plain text programming instructions using a decryption key, and execute it. The execution can involve determining whether one or more authorization condition is / are satisfied.

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.