34 results about "User code" patented technology

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 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 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 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 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.

This application provides a user code version management system, method, and electronic device. Based on the traditional JupyterHub and Linux file system, the system adds a code storage database independent of the Linux file system. In response to user-inputted save operations, a local temporary storage unit within this code storage database retrieves the user-inputted Jupyter project file from the Linux file system and submits it to the local storage unit. The local storage unit then renames the Jupyter project file according to a naming rule pre-set based on the user's username and stores it in both local and remote storage units. Thus, even if the physical machine hosting the Linux file system fails or malfunctions, the user-inputted software code still exists in both the local and remote storage units, effectively preventing code loss.

The invention provides a safety starting working system in a tetramethylurea production process, which comprises the following steps that: after a cloud platform receives safety transmission information sent by an rfid card reader, the cloud platform sends a user code to an intelligent mobile handheld terminal; after the cloud platform obtains the secure transmission information, the method for obtaining the user code according to the secure transmission information comprises the following steps: S31, converting the received secure transmission information into a decimal numerical value; s32, converting the decimal cloud platform security transmission information into security transmission information with the same system as the security transmission information; s33, converting the secure transmission information of the cloud platform into a two-dimensional code image; sequentially extracting numerical values from left to right and from top to bottom according to the color of each grid in the two-dimensional code image to obtain a 0-1 character string; s34, converting the 0-1 character string into a d ''system character string; and S35, sending the user code to the intelligent mobile handheld terminal.

The invention discloses an automatic error correction system for internet of things simulation based on a large language model, a medium and a product, and relates to the field of internet of things simulation, in the method, a system architecture in which a data bus is connected with a display module, a user code module and an AI dialogue module is adopted, the user code module collects and processes circuit diagram data and code data in real time, and the AI dialogue module carries out error diagnosis and correction suggestion generation based on a large language model; wherein the AI dialogue module comprises an error diagnosis unit and an intention reasoning unit, the error diagnosis unit determines coupling errors between a circuit diagram and codes through multi-modal correlation analysis, and the intention reasoning unit verifies whether hardware-software collaboration meets a user design target or not. According to the method and the device, the problems of cross-modal error detection and complex scene support are solved, more accurate correction suggestions can be provided, and the development efficiency of the Internet of Things is improved.

A method for identifying a user intent in a code-mixed utterance of a user is disclosed. The method includes receiving the code-mixed utterance from the user and segmenting the received code-mixed utterance into a set of tokens. The method also includes obtaining contextual information and contextual representations associated with the received code-mixed utterance and generating a fixed dimensional representation for each token of the set of tokens. Further, the method includes generating a set of vocabulary probabilities for the fixed dimensional representation and translating the code-mixed utterances to a translation text in the target language based on the generated set of vocabulary probabilities by using the AI-based LTN. Further, the method includes identifying the user intent in the translation text.

The invention provides a natural language and code generation instruction conversion method and device, equipment and a medium, and relates to the field of intelligent software development, and the method comprises the steps: defining a large model output template in a specific cue word project based on a use demand, performing natural language conversion on an input user natural language through a large model based on a specific cue word project, and outputting a code generation instruction; on the basis of the output template, performing demand content information screening on the code generation instruction according to a preset information screening template; if the screening is passed, performing format matching on the code generation instruction and an output template; and if the matching is successful, adapting the code generation instruction conforming to the output template by an embedded code generation instruction adapter and then outputting the code generation instruction. According to the method, the user natural language input including the user demand is converted into the embedded software code generation instruction which can be recognized by the system, so that the automatic code generation accuracy and the user coding efficiency of the intelligent embedded software development system are improved.

The present invention relates to a data desensitization method, device, system and medium, and belongs to the technical fields of data management, data processing, data security, etc. The method of the present invention includes the steps of: dividing all data blocks in the original sensitive file into non-sensitive data blocks, first sensitive data blocks and second sensitive data blocks, and marking all occurrence positions of the two sensitive data blocks in the original sensitive file; collecting the second sensitive data plaintext data, management key and user code; performing continuous bitwise XOR operations on the management key and user code with the second sensitive data plaintext data to obtain the ciphertext corresponding to the plaintext, and replacing the corresponding original plaintext with the ciphertext to generate a first desensitized file; distributing the first desensitized file to the corresponding user. The present invention is suitable for customized desensitization of each sensitive data in the original sensitive file according to different user permissions, and requires that the leaked and disseminated user files be traceable in application scenarios.

The invention relates to the technical field of Notebook tool parameter self-definition, and provides a Notebook tool parameter self-definition implementation method and system, and the method comprises the steps: receiving self-defined parameters configured by a user, and verifying the self-defined parameters; associating the user-defined parameters passing the verification with the code execution context of the current Notebook, and establishing a parameter calling mapping relation; identifying a reference identifier of the user-defined parameter in the user code, and replacing the reference identifier with the corresponding parameter value according to the parameter calling mapping relation to generate an executable code; and executing the executable code, displaying the operation result, and storing the parameter association information. According to the method, the flexibility and usability of the Notebook tool can be remarkably improved, errors during operation are effectively prevented, the reliability is enhanced, redundant codes are reduced, the development efficiency is optimized, and powerful support is provided for problem investigation, result reproduction and team cooperation.

The invention discloses a code completion method and device, a medium and a program product, and relates to the field of artificial intelligence. The invention discloses a code completion method, which comprises the following steps of: training a deep learning model by adopting behavior historical data and code item-level context for user codes to obtain a user code preference model; generating complemented code data according to the to-be-complemented code data and the user code preference model; and when the complemented code data is adopted, performing problem identification and repair on the to-be-complemented code data and the complemented code data according to the code static analysis engine to obtain a target code. According to the technical scheme, the complementation codes can be intelligently recommended for the user according to the ideas and preferences of the user, and the personalized requirements of clients are met.

The invention provides a user code writing error prompting method and device based on artificial intelligence. The method comprises the steps of obtaining a user portrait vector and a real-time writing code; obtaining a trained error prompt depth model; and inputting the user portrait vector and the real-time compiled code into a trained error prompt depth model to obtain an error prompt report of the compiled code. According to the method and the device, the error prompt depth model is trained, and the user portrait vector and the real-time compiled code are identified by using the error prompt depth model, so that the personalized code error prompt is identified and generated.

The invention provides a self-defined pipeline resistance coefficient modification method based on Modelica. The self-defined pipeline resistance coefficient modification method based on Modelica comprises the following steps: step 10, receiving an input instruction of a user for variable modification required for resistance coefficient relational expression calculation in a visual pipeline resistance coefficient modification interaction window; the visual pipeline resistance coefficient modification interaction window only supports modification of variables needed by calculation of the resistance coefficient relational expression. And step 20, modifying the self-defined pipeline resistance coefficient model according to the input instruction to form a modified self-defined pipeline resistance coefficient model. According to the method, a user is allowed to customize the pipeline resistance coefficient relational expression 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 resistance coefficient relational expression modification process of an existing custom pipeline module is solved.

The application provides a SCMA system multi-user detection method and device, communication equipment and a readable storage medium. The method comprises the following steps: determining a decoding order priority according to a channel parameter of each user in a user set; performing message iteration on to-be-decoded data based on the decoding order priority, and determining probability information of a code word sent by each user; determining a bit error rate of each user according to the probability information corresponding to each user and a user code word decision threshold; removing a target number of users in front of the decoding order priority from the user set to update the user set; and updating the user code word decision threshold of each user in the user set according to the bit error rate of each user in the updated user set, so as to perform cyclic detection on the updated user set. Through the above method, the success rate of user detection of a receiving end of a SCMA system can be improved.

The invention provides a learning path recommendation method fusing a knowledge graph and a coding behavior, and relates to the technical field of education and personalized recommendation. The method comprises the following steps: constructing a domain knowledge graph to represent concepts and associations; collecting user coding behavior data; calculating a knowledge fusion degree based on the knowledge graph and the behavior data, and quantifying a knowledge mastering and behavior association degree; behavior complexity is calculated based on behavior data, and the coding practice level is quantized; generating a personalized learning path according to the knowledge fusion degree and the behavior complexity; and the recommendation is dynamically adjusted according to user feedback. According to the method, the theoretical knowledge structure and the programming practical behavior are deeply fused, so that the state of the learner is accurately evaluated, the learning path which better fits the actual ability and development demand of the user is generated, and the accuracy and adaptability of learning recommendation are effectively improved.