364results about "Software reuse" patented technology

A data processing method, apparatus and device are provided. The data processing method includes: obtaining application requirement information according to function requirement information and preset template information; performing resource exploration according to the application requirement information; when a result of the resource exploration indicates that a target application is allowed to operate, according to the application requirement information, allocating, from target operation platform resource, application resource to the target application, and creating an operation environment for the target application; deploying and releasing the target application according to the application resource and the operation environment; wherein the target application is an application program corresponding to the application requirement information.

Techniques are disclosed for a conversational assistant system that employs a machine learning system to act as an intermediary between natural language questions of a user and one or more Application Programming Interfaces (APIs) implemented by a network analysis system. In one example, the conversational assistant system receives API definition files including sets of function definitions and corresponding function descriptions and a natural language question from a user device. The conversational assistant system processes the API definition files and the natural language question to obtain function definitions invoking API endpoints of the APIs. The conversational assistant system sequentially invokes, based on the function definitions, the API endpoints to obtain responses from the APIs implemented by the network analysis system. The conversational assistant system generates, based at least in part on the responses from the APIs, a natural language answer for output at an output device.

This invention provides a universal interface system and its operation method. The universal interface system includes: an upper-layer application algorithm layer (4-1), configured to call functional modules and corresponding interfaces to complete a technical task; a fine-grained interface layer (4-2), configured to provide an abstract and unified fine-grained interface for the upper-layer application algorithm layer and define the input and output standards of each fine-grained interface; a chip adaptation layer (4-3), configured to carry out mapping between the interface specifications of the fine-grained interface and the hardware capabilities of the lower chip execution layer, and to implement the various functions defined by the fine-grained interface layer; and the chip execution layer (4-4; 4-5), configured to call chip hardware modules to perform hardware acceleration according to the technical task and return the execution results to the upper layer. This invention thus achieves the technical advantage of “one-time development, multi-chip adaptation”.

Embodiments of the present invention disclose a method and an apparatus for extending a capability of a function block, an electronic device, and a storage medium. The method includes: determining a first description file of a first function block, the first description file including first information, and the first information being used for describing a calling relationship between the first function block and an extended capability in a second function block; generating a first code used for calling the extended capability in the second function block based on the first information; and storing the first description file and the first code in the first function block, the extended capability in the second function block being called when the first code is run. There is no need to copy a function code of another function block into a function block, thereby saving the storage space of the function block. In addition, when the called extended function changes or the code needs to be updated, there is no need to update the code of each function block one by one, thereby reducing the workload.

This invention discloses a method, apparatus, device, storage medium, and program product for extracting interface changes. The method includes: acquiring merged request (PR) data corresponding to the target interface within a first specified time period; extracting features from the PR data to obtain a first PR feature; performing a structured conversion of the first PR feature according to a pre-set Markdown format specification to obtain a Markdown document, wherein the Markdown document includes original and target values ​​of basic interface information, original and target values ​​of request parameters, original and target values ​​of response parameters, and original and target values ​​of interface logic; validating the Markdown document, and if the validation passes, sending the Markdown document to a terminal device for display. Therefore, this embodiment can automatically extract interface change information, improving extraction efficiency.

The present disclosure provides an application programming interface (API) governance method, device, equipment and program product, and relates to the technical field of software development. The API governance method comprises: generating a target API based on a data configuration request, the target API being used to provide a data query service corresponding to the data configuration request; generating a permission identifier corresponding to an application request of the target API in response to the application request; the application request at least comprising a first request party identifier and a target API identifier corresponding to the target API, the permission identifier being used to mark the calling permission of the target API of a first request party with the first request party identifier; verifying based on the permission identifier in response to a calling request of the target API, the calling request at least comprising the target API identifier and the permission identifier, and providing the data query service based on the target API after the verification is passed. The whole process management of the API from generation, permission application to calling can be realized.

The application provides an intelligent parameterized UI generation system and method suitable for professional analysis software, receives UI requirements in the form of natural language or pictures through a user interaction layer, analyzes the requirements by an AI intelligent processing layer, and automatically generates an initial configuration file containing components, styles and logic in combination with a domain knowledge base and a reference style. A user can adjust and analyze the configuration file through a configuration editing and analyzing layer. A parameterized UI generation layer dynamically constructs UI components with tree hierarchical relationships based on the analyzed structured data, automatically configures interaction logic, data binding and professional field processing, realizes two-way synchronization of GUI and backend data, and finally outputs an interactive interface by a UI rendering layer. The application changes highly customized and fragmented UI development into an automated and standardized generation process, greatly improves development efficiency, guarantees the consistency of interface style and operation logic, significantly reduces maintenance cost, and enhances the flexibility of software function expansion.

The application discloses a method, device and medium for converting Markdown into a Notion API applicable structure, and relates to the technical field of data conversion, and comprises the following steps: obtaining a Markdown text string, calling a parser to parse the Markdown text string, and generating a list of mark objects, each mark object having a type identifier; initializing a converter factory, the converter factory maintaining a plurality of conversion processors; inputting the mark objects in the list of mark objects into the converter factory in sequence, and matching a corresponding target conversion processor according to the type identifier of the current mark object through the converter factory; passing the current mark object to the target conversion processor, and generating at least one block structure conforming to a Notion API specification through the target conversion processor; storing the generated block structure into a block structure set; and outputting the block structure set as a list of Notion API applicable structures after completing the processing of all mark objects. The application can effectively convert Markdown text into a Notion API applicable structure.

The embodiment of the specification discloses a component style rendering method, device, equipment and medium. The method comprises: obtaining configuration data of a first color plate variable layer and configuration data of a first style template layer; wherein the configuration data of the first color plate variable layer comprises an association relationship between a first CSS variable and a first style value; the configuration data of the first style template layer comprises an association relationship between the first CSS variable and an intermediate variable; obtaining configuration data of a second color plate variable layer and configuration data of a second style template layer; wherein the configuration data of the second color plate variable layer comprises an association relationship between a second CSS variable and a second style value; the configuration data of the second style template layer comprises an association relationship between the second CSS variable and the intermediate variable; rendering a first component by using the second style value through the mapping of the intermediate variable, so that the first component is presented in the form of the second style value in a second component.

A computer-implemented method for performing a code generation for calculating a Softmax function of a neural network includes (i) providing a displacement s and a multiplier for the quantized representation of the input tensors of the Softmax function of the neural network, (ii) creating a second lookup table to replace a nested function to calculate the EXP_ON_NEG (MUL_SAT ( )) function from a CMSIS NN library depending on the displacement and the multiplier, wherein element values of an input tensor normalized to a negative value range between 0 and a minimum value are used as arguments, wherein 0 is assigned to a maximum possible element value of the input tensor and the minimum value is assigned to the smallest possible element value of the input tensor, and (iii) implementing an access to the second lookup table in a code generated to calculate the Softmax function, so that it replaces the function call of the EXP_ON_NEG (MUL_SAT ( )) function.

The embodiment of the present application provides a kind of method and device for sharing information, it is related to terminal technical field, can reduce the development difficulty of information shared between equipment, improve development quality.Specific scheme is: determine the code corresponding to the first variable in the source code of application includes keyword, keyword is used to indicate that the first variable is multi-device shared variable;First target code corresponding to auxiliary variable associated with the first variable is generated, and the auxiliary variable is used to support the first variable shared between multiple devices when the application runs on multiple devices.The embodiment of the present application is used in the process of writing application code.

This invention relates to the field of thread pool resource scheduling technology, and particularly to a Vue-based rule generation method. This Vue-based rule generation method uses Vue combined with the Element component to develop a rule generator; it generates fixed rules and rapidly expandable rules through the rule generator, provides custom rule editing, and supports any type of rule configuration; it parses the generated rule expressions, updates the view, and populates form input boxes. This Vue-based rule generation method transforms the originally complex Cron rule syntax into an intuitive operation, allowing ordinary non-technical personnel to manage scheduled tasks safely and efficiently without mastering Cron rule syntax, truly realizing an agile operation model where business needs directly drive technical execution.

An embodiment provides a method comprising the steps of: receiving an image for analysis and storing the image in at least one memory; loading the image for analysis from the at least one memory; generating, by at least one processor, an analysis result for the image for analysis by using at least one artificial intelligence model using the image for analysis as an input thereto, wherein the at least one artificial intelligence model is pre-trained to output the analysis result for the image by performing a predetermined operation using a disentangling mask for controlling the interaction between a spatial token including spatial information on the image and a non-spatial token including temporal information or language information; and ingesting the analysis result into at least one subsequent processing component.

The application discloses a kind of space equipment oriented to whole life cycle of number-real fusion test process model construction method and system, belong to aerospace digitization and computer science technology field.The method includes: the unified test process framework and state monitoring model of whole life cycle such as covering conceptual demonstration, design, test, operation and maintenance are constructed;Establish the data interaction process model of multiple number-real fusion modes, improve compatibility and scalability;Consistency maintaining mechanism of three layers of data, model and execution is constructed, to ensure the stability and synchronization of multiple system parallel test;Finally, through modular integration and management, form reusable, scalable test process system.The application solves the problem that traditional test process relies on manual experience, is difficult to reuse and dynamic optimization, significantly improves the consistency, coverage, efficiency and traceability of test.

To suppress printing from being aborted according to processing by a background task cannot be completed within a predetermined time.SOLUTION: In a client, a program, which is an application that provides a UI upon reception of a print instruction and includes a component of a background task and a component of a foreground task, is installed. In response to an OS activating the component of the background task, the background task requests the OS to activate the foreground task. The activated foreground task displays a UI indicating that processing is in progress. The foreground task also notifies the OS of information indicating completion of the processing according to the determination not to display the UI for receiving user operation on the basis of an acquired print ticket.SELECTED DRAWING: Figure 7

The application provides a Gerrit program permission control method and device, which can be used in the financial field or other technical fields. The method comprises the following steps: capturing first program file information and code submitter information through a code submission monitoring interface; obtaining a second hash value according to a code library name and a first program identifier; if it is determined that the first program code corresponding to the first program identifier is different from the second program code according to the first hash value and the second hash value, then verifying whether the code submitter has the modification permission of the program file corresponding to the first program identifier according to the code submitter information and the first program identifier; and if the code submitter has the modification permission of the program file corresponding to the first program identifier, then performing subsequent processing on the first program code corresponding to the first program identifier. The device is used for executing the above method. The Gerrit program permission control method and device provided in the application embodiment improve the reliability of the code in the code library.

This invention discloses a method, apparatus, and electronic device for generating software test replay schemes, relating to the field of software testing technology or other related fields. The method includes: selecting an initial replay template from a preset scheme template library based on software testing requirements and loading it into a visual design interface to obtain an initial flow canvas; selecting a target component from a preset abstract component library and dragging it to the target position on the initial flow canvas to form a graphical replay flowchart with data flow between components; configuring structured parameters for each component in the replay flowchart to generate configuration data; and encapsulating the configuration data and the replay flowchart into a software test replay scheme and saving it to a replay system and / or the scheme template library. This invention solves the technical problem in related technologies where software test replay schemes are mostly expressed in the form of discrete configuration files or code, lacking structured, visual, and component-based abstraction of the test process, resulting in poor reusability of the replay process.

Embodiments of the disclosure relate to a method, apparatus, device and storage medium for creating an application. An example method includes: presenting an editing canvas for editing a graphical interface corresponding to a target workflow; acquiring configuration information of a graphical component in the editing canvas via a configuration window corresponding to the graphical component, the configuration information indicating an association between a first attribute of the graphical component and a target workflow or an additional workflow; and based on the configuration information, creating a target application corresponding to the target workflow.

This invention discloses an intelligent processing system and method based on laboratory process standardization, belonging to the field of intelligent processing technology. The system includes a change clause extraction module, a core change identification module, an equivalent node mapping module, and a historical data adaptation module. The method obtains the old and new versions of standard operating procedures, compares and extracts target change clauses, divides core and non-core change clauses and constructs a version difference chain, establishes equivalent node mapping relationships for core change nodes, and converts old process nodes and processes historical experimental data based on these relationships to reconstruct historical experimental processes adapted to the new version of the procedures. This invention solves the problems of low efficiency, easy omissions, and difficulty in adapting complex nodes in manual processing, improves the level of process standardization automation and data adaptation accuracy, and ensures the traceability of experimental results.

An artificial intelligence (Al) assisted generative digital task fulfillment process within digital model platforms is provided. Disclosed are methods and systems for carrying out digital tasks through generative Al, including tasks related to the streamlined design, validation, verification, certification, assembly, operations, and maintenance processes of complex systems. Hie method includes receiving access to a context Al model trained on Internet-scale data, receiving a user prompt indicating the digital task, and generating contextual data based on the user prompt using the context Al model, where the contextual data identifies a syntax Al model. The method includes training the syntax Al model to generate a template script having a placeholder variable for a parameter related to the digital task. The method also includes using a parameter substitution process to generate the orchestration script by substituting the variable with a parameter value.

In an example embodiment, an embedding machine learning model is used to effectively and efficiently split a monolithic application into microservice. The embedding machine learning model is used to group the domain managers into multiple group, making sure that the semantic coupling among domain managers in the same group is the most and the semantic coupling among domain managers in different groups is the least. Once these groups have been form, the entities of the persistence layer are then assigned to corresponding groups, making sure that the semantic coupling between the domain layer and the persistence layer in the same group is the largest.

This application relates to the field of model building technology, specifically to a semi-automatic generation method for the MagicGrid framework model based on historical data. It constructs business objects by semantically parsing the descriptive information of the target business scenario and retrieving corresponding implementation instances from a historical engineering database, extracting implementation domain features such as structure, behavior, interface, and performance. Based on these features, it performs functional reverse abstraction, generating a functional domain model covering requirements, structure, behavior, and quality attributes, and forming a structured description according to the MagicGrid hierarchy specification. It constructs an architecture evolution hypergraph, jointly evaluating the risks, costs, and migration costs of multiple candidate evolution paths to determine the target system configuration and corresponding hardware and software implementation schemes. This achieves a closed-loop automated design driven by historical experience, encompassing system architecture reverse abstraction and forward generation, improving the consistency, feasibility, and engineering controllability of complex system designs.

The application relates to the technical field of intelligent process assembly, in particular to a visual intelligent process assembly system and method for heterogeneous business capabilities. The visual intelligent process assembly system for the heterogeneous business capabilities integrates a visual designer, a standardized heterogeneous capability component library, a unified metadata model and a bidirectional real-time synchronization engine, so that business personnel can visually drag and assemble a complex business process fused with advanced technologies such as RPA and AI without coding, while ensuring strict real-time synchronization between the graphical design and the underlying executable code, thereby completely breaking the barrier between business requirements and IT implementation and greatly reducing the construction threshold and maintenance cost of the intelligent process.

This application discloses an operation log generation method, a terminal device, and a computer-readable storage medium. The operation log generation method includes: responding to a first operation instruction, acquiring object data of multiple first objects, wherein the object data includes at least attribute information of the first objects; acquiring the data type of the corresponding first object based on the attribute information of the first object; acquiring modification information and / or operation information of the first object based on the data type; and generating an operation log of the first object based on the modification information and / or operation information. The method of this application can generate corresponding operation logs based on the data type of the first object, applicable to objects of various data types, and improving recording efficiency.

The objective of the present invention is to prevent reverse engineering of a program and enhance resistance to an analysis tool. Provided is a multi-code transformation method for binary obfuscation, comprising: a first obfuscation step of reconstructing a source code into a plurality of executable basic blocks; a second obfuscation step of inserting at least one fake basic block among the executable basic blocks; and a third obfuscation step of inserting a junk code into each of the executable basic block and the fake basic blocks, wherein the executable basic block includes at least one switch-case statement representing at least some statements of the source code.

This invention provides a Slurm-based bioinformatics workflow management system. The module management subsystem stores bioinformatics software commands in a database according to a predetermined format, defining them as modules. These modules can be combined into new modules through serialization or network connections, enabling the rapid construction of complex workflows. The task submission system converts these modules into corresponding task scripts. These scripts are generated in a nested manner, consisting of a main job, sub-jobs, and the smallest job unit. The scripts conform to the Slurm job scheduling system specifications and include a progress report. This workflow management system, combined with front-end and back-end technologies, enables visual interaction, improves the management and utilization efficiency of bioinformatics software commands, and promotes the rapid development of life sciences.

This invention discloses a unified resource abstraction and capability encapsulation method and system for heterogeneous industrial equipment, relating to the field of process automation technology. It addresses the problems of heterogeneous equipment, complex parameter configuration, and delayed anomaly response in fixed processing flows. Based on real-time collected process parameters, operating status, and anomaly data from the production line, the industrial process is decomposed into capability units with clearly defined inputs and outputs. Parameters are divided into static parameters and dynamic linkage parameters, enabling automatic parameter transfer between processes. By constructing a unified resource abstraction specification that decouples equipment and capabilities, heterogeneous equipment can participate in process orchestration using standard capability interfaces. Furthermore, a capability semantic description model is established, defining parameter linkage rules and status output formats. A key parameter library is introduced before capability execution for anomaly pre-detection and hierarchical processing. Through standardized capability encapsulation and deployment, high adaptability, reusability, and stable operation of industrial processes in heterogeneous equipment environments are achieved.