40 results about "Parameter Type" patented technology

The invention discloses a method and device for automatically generating a Java method unit test case based on AI, and the method comprises the steps: building a structured annotation specification, carrying out the automatic traversal and intelligent analysis of a Java project, extracting a method signature, a parameter type and a parameter constraint condition, constructing a test data generation model, and carrying out the automatic generation of the test case. The model is transmitted to an AI service to analyze business logic and boundary conditions, test case codes are generated, test cases are optimized and integrated to a project test directory, finally, code areas with insufficient coverage are identified through coverage rate analysis, a test completion strategy is generated, and iterative perfection of the test cases is completed. The technical problems that in the prior art, project-level automatic test case generation cannot be achieved, the generated test case cannot fully cover business logic and boundary conditions, and context relation understanding is lacked are solved, full-automatic project-level test generation is achieved, and the test efficiency and quality are improved.

This application provides a method and apparatus for generating random instruction test cases, relating to the field of automated testing technology. First, target instructions or instruction sequences are encapsulated into C inline functions using inline assembly or macro definition, forming a unified function library. Next, a function parameter constraint system is constructed, defining parameter types, address ranges, instruction combination methods, and value range constraints for each encapsulated C inline function. Then, a multi-level nested structure is built based on the C inline functions to organize the instructions, where each level node is associated with a corresponding C inline function name and constraints. Finally, based on a YAML configuration file, the target C inline functions are determined from the multi-level nested structure and combined to generate random instruction test cases. The YAML configuration file includes at least the number of iterations, a random seed, a random strength factor, and test content configuration. The solution provided in this application has the advantages of improved verification efficiency and applicability to different scenarios.

This application provides a configuration file processing method, apparatus, device, medium, and product, relating to the fields of artificial intelligence or fintech. First, configuration file change information is obtained, including modification records of the configuration file during code submissions. Then, the obtained configuration file change information is analyzed to obtain the analysis results of parameter types (including fixed values ​​or dynamic injection). If the analysis result is a fixed value, and / or there is implicit hardcoding, a failure status is returned to trigger process termination; if the analysis result is dynamic injection, and / or there is no implicit hardcoding, a success status is returned to allow the process to continue. This method, by obtaining change information of the target configuration file and analyzing parameter value types, solves the problem of lack of automated detection and mandatory constraints in configuration parameter management in the prior art, realizing automated detection and effective control of configuration parameters, ensuring that configuration parameters meet expected requirements.

1. The name of the design product: display screen panel with parameter setting graphical user interface. 2. The use of the design product: the design product is used for running programs, information display and human-computer interaction. 3. The design points of the design product: the content of the graphical user interface in the screen. 4. The picture or photo that best indicates the design points: front view. 5. The use of the graphical user interface: the interface is used for the user to adjust the hardware parameters of the electric skateboard; the main view interface is the initial interface, and the user can slide left and right to select the parameter type for parameter adjustment. 6. Other changes in the situation that need to be explained: the reference diagram of the interface use state is the reference interface of the main view interface in actual use. 7. Other matters that need to be explained: the display screen panel can be used for electric skateboards and electric skateboard remote controllers.

The embodiment of the invention provides a data processing method and device.The method comprises the steps that a target application program is analyzed, a parameter type and a function calling relation corresponding to a target function in the target application program are obtained, and the target function comprises a to-be-processed function and a correlation function corresponding to the to-be-processed function; generating a data processing program corresponding to the target function by utilizing a target program generation template according to the parameter type corresponding to the target function and the function calling relationship; inserting a detection point at a function entry of the target function, and establishing an association relationship between the detection point and a data processing program; under the condition that it is determined that the target function is called, a data processing program is triggered to execute the function event in the execution process of the target function through the detection point, an event execution result is obtained from the kernel mode through the data processing program, and the event execution result comprises performance data corresponding to the target function in the execution process of the kernel mode; fine and timely-response troubleshooting and performance optimization are realized.

The invention discloses a communication module instruction fuzzy test method and system. The method comprises the steps of analyzing a historical communication module instruction, determining an instruction parameter type, and determining test record data based on historical fuzzy test data. And determining variation experience data of the instruction parameter type according to the test record data. And on the basis of the variation experience data, constructing a variator scheduling model corresponding to each instruction parameter type. And based on the previously constructed variator scheduling model, predicting a target variator of each instruction parameter type in the to-be-tested instruction, and executing a fuzzy test through the target variator. According to the technical scheme provided by the invention, the hit rate and convergence rate of fuzzy testing are remarkably improved by reusing historical experience, intelligent scheduling of variation strategies is realized, the testing resources are enabled to act on variation combinations which are easier to trigger abnormal states in a centralized manner, the exploration capability of deep states and potential problems of the communication module is enhanced, and the development efficiency of the communication module is improved. And the test efficiency and precision of the fuzzy test process are obviously improved.

The invention relates to the technical field of software testing, and provides an automatic system call specification generation method and system for kernel fuzz testing. The method comprises the following steps: a static analysis stage: compiling a Linux kernel source code to be tested into an LLVM byte code, and performing deep static analysis on the LLVM byte code to identify and reconstruct an interface and a parameter type called by a system; a symbol execution and specification generation stage: adopting a constraint extraction and solution algorithm to extract constraints under different paths, carrying out constraint solution, and generating an initialized calling specification template in combination with an interface called by the system, the parameter type and the constraints; a standard test and verification stage: constructing an evaluation system of a multi-dimensional index to verify the initialized calling standard template and generate corresponding error information; in the large language model auxiliary correction stage, the initialized calling standard template and the error information serve as input, and a high-quality calling standard template is obtained after a large model iteration repair algorithm is conducted.

Embodiments of the present disclosure provide a shared library-oriented fuzzer automatic generation method and device, which comprises: extracting an API function set requiring to be subjected to fuzz testing from source code and a header file of a target shared library; identifying control flow dependence and data flow dependence of an API interface based on the API function set, and constructing an API dependence graph; judging parameter types and deducing dependence relationships between parameters according to the API dependence graph, and distinguishing the parameters into independent variable parameters and state-dependent parameters; generating an executable fuzzer through combination scheduling based on function-to-function calling and dependence relationships in the API dependence graph, and embedding a LibFuzzer semantic coding structure into the fuzzer; and continuously tracking a coverage path during execution of the fuzzer, and preferentially selecting an unexecuted path for testing.

The embodiment of the invention provides a parameter configuration method and device for an Internet of Things terminal, equipment, a medium and a product. The method comprises the following steps: determining a parameter type of an undetermined parameter of the Internet of Things terminal and a target function of a parameter configuration target; obtaining a target population based on the value of the parameter type, and calculating a target function value of the target population according to a target function; storing the target population and the corresponding target function value into a parameter configuration knowledge base, obtaining a filial generation population based on the target population, predicting the target function value of the filial generation population based on the proxy model simulating the target function, obtaining a first population based on the filial generation population, and updating the parameter configuration knowledge base based on the first population, using the updated parameter configuration knowledge base to train an agent model, and obtaining a second population based on the first population; and performing parameter configuration for the to-be-determined parameters based on the second population when iteration stops. According to the method disclosed by the embodiment of the invention, the model adaptability and accuracy can be improved, and the cost and the accuracy are balanced in an online training mode.

Embodiments of the present application provide a kind of geometry modeling engine test method, device, electronic equipment and storage medium, it is related to software testing technical field, the method comprises: in test system, the command class instance for testing geometry modeling engine is registered;Determine the test case for geometry modeling engine, execute test case by test script, determine the test command corresponding to test case and each the parameter sequence corresponding to the test command, the parameter type of parameter sequence is first programming language;According to parameter sequence, from the registered command class instance, the target command class instance matched with test command is extracted;According to the function interface of target command class instance, parameter sequence is parsed, obtains the test parameter of parameter type for second programming language, and according to test parameter, geometry modeling engine is tested, obtains corresponding test result, flexibly and efficiently parses, processes different types of parameter data, reduces the workload of program development and maintenance.

This invention provides a transparent data encryption method, apparatus, and electronic device based on a parameter parser proxy. In this method, by constructing an encryption proxy parser that encapsulates the original parameter parser and replacing the default parser chain in Spring MVC, unified transparent automatic encryption of various heterogeneous request parameter types is achieved without intruding on business code (because the types of the original parameter parsers in the enhanced parser chain are diverse). This technology sinks the encryption logic from the business layer to the parameter binding stage of the framework layer, not only completely eliminating the burden and risk of omissions for developers to manually write repetitive encryption code and ensuring that sensitive data is converted to ciphertext before entering business logic, but also significantly improving the system's data security compliance and code maintainability.

The invention discloses an intelligent database system and method for material and test data management, and belongs to the technical field of computer software. The system comprises a material management module which supports management and intelligent verification of material information with labels; the parameter management module supports dynamic creation of parameter types and parameters and configures labeling classification of'basic attributes', 'variable attributes' and'other attributes' for the parameters, and the'variable attributes' support association of a plurality of conditions; the experiment management module is used for inputting experiment data based on a parameter system and supporting template import; the data analysis module is used for comparing and displaying various attribute data of the selected experiment by adopting partition layout, and providing a chart drawing function for variable attributes; and the data query module supports advanced screening based on range combination of a plurality of basic attributes and visualizes a comparison result by using a histogram. According to the method, the problems that existing material management software is rigid in parameter, weak in data relevance and insufficient in analysis capability are solved.

The application discloses a knowledge-guided trusted API recommendation method based on a large language model, and the core idea of the method is to improve the trustworthiness of the LLM in the API recommendation task by using API knowledge. Specifically, in view of the untrustworthiness of the LLM in API recommendation, the application proposes knowledge-guided data enhancement to improve the ability of the LLM to establish the correlation between the user-specified type and the API sequence; proposes knowledge-guided beam search to guide the LLM to generate an API that actually exists and whose calling conditions can be met; and proposes knowledge-guided reordering to optimize the API sequence recommendation list, so that the API sequence that matches the interface parameter type is ranked more in front in the recommendation result. The application has the advantages that API recommendation can be realized under the constraint of the interface parameter type, and the trustworthiness of the large model in the API recommendation task can be improved through high-quality prior knowledge in the API knowledge graph.

1. The name of the design product: display screen panel with parameter setting graphical user interface. 2. The use of the design product: the design product is used for running programs, information display and human-computer interaction. 3. The design points of the design product: the content of the graphical user interface in the screen. 4. The picture or photo that best indicates the design points: design 1 front view. 5. Design 1 is designated as the basic design. 6. The use of the graphical user interface: the interface is used for user interaction for adjusting the hardware parameters of the electric skateboard; the interfaces of design 1 front view and design 2 front view are initial interfaces, and the user can select a certain parameter type in the middle of the initial interface for parameter adjustment. 7. Other situations that need to be explained: the design 1 interface usage state reference diagram is the reference interface of the design 1 front view interface in actual use, and the design 2 interface usage state reference diagram is the reference interface of the design 2 front view interface in actual use. 8. Other situations that need to be explained: the display screen panel can be used for electric skateboards and electric skateboard remote controllers.

The invention relates to the technical field of simulator data processing, in particular to a JS script automatic generation method and system suitable for a swan NEXT simulator. The method comprises the following steps: starting the environment of a swan NEXT simulator, loading a preset JS script template, and obtaining a target method list in an interface set corresponding to a preset API; calling a preset injection tool to analyze a shared library file in the operating environment of the Noumong NEXT simulator, exporting a function symbol table of the shared library file, and extracting a target function address corresponding to the target method list; and determining an entry position, a parameter type, a return value type and stack information of the target function based on the target function address to form a function information set. According to the method, automatic script generation and dynamic function monitoring for the swan gap NEXT simulator are achieved, the target function can be accurately recognized, the system environment can be self-adapted, and therefore the accuracy, real-time performance and compatibility of test analysis are improved.

The invention relates to the technical field of log processing, in particular to a typed parameter prompt-based log analysis method, which specifically comprises the following steps of: firstly, automatically marking a type ontology, automatically identifying a parameter type through a regular expression rule, and generating a typed training label; secondly, virtual token extension and prototype embedding initialization are carried out, a virtual token is created for each parameter type, and prototype embedding is adopted for initialization; and finally, model fine tuning based on multi-loss joint training is carried out, and model fine tuning is completed through joint optimization of MLM loss, contrast learning loss and Focal loss. According to the method, on the premise that few sample learning ability is kept, semantic features of different types of parameters can be distinguished, manual intervention can be reduced to the maximum extent through a full-automatic type labeling mechanism, and therefore robustness and practicability of log analysis are improved.

This application discloses a network layer optimization method for computer technology. First, by defining the parameter structure and parameter types in a protocol buffer file, and second, by creating a target serialization function using the target protocol buffer file, the target serialization function can convert the data of the business layer according to the structure and type defined in the protocol buffer file, enabling accurate transmission over the network or correct storage. Next, the constructed network layer request service integrates the cgiUrl, parameter serialization function, and request function, providing a unified interface for the business layer to initiate network requests. Then, through a code optimization mechanism, eliminating unused code significantly reduces the code size of the network layer request service, thereby accelerating the code process initialization speed. Finally, by using the optimized network layer request service target code, the business code can more concisely and efficiently implement file management-related business logic.

A system and method for clustering computing interface calls. A method includes: determining a plurality of computing interface cluster definitions, the plurality of computing interface cluster definitions including a plurality of parameter type strings; and clustering a plurality of computing interface call instances into a plurality of clusters based on the plurality of computing interface cluster definitions, wherein a number of clusters among the plurality of clusters is fewer than a number of computing interface call instances among the plurality of computing interface call instances, wherein clustering the plurality of computing interface call instances includes determining a plurality of portions of the plurality of computing interface call instances which match types of parameters represented by respective parameter type strings of the plurality of parameter type strings.

The present invention comprises a method for generating a test case document that defines a method for executing a test on a test apparatus and criteria for determining the result of the test executed according to the method. The method includes reading a test requirement document containing the type of a parameter used in the test and a waveform diagram representing the change in the parameter's value over time, as well as analyzing the parameter's value and the time at which the value changes. The method includes selecting a function for setting a value for a parameter recognized as an input value and determining a method in which the function is executed based on the time at which the parameter's value changes.The procedure involves selecting a function to determine whether the value of the parameter, which is an output value, is an expected value, and determining criteria using that function. The procedure includes generating a test case document that contains the specified procedure and the specified criteria.

The present disclosure relates to the technical field of computer, and discloses a parameter management method and device, computer equipment, storage medium and program product, wherein the method comprises: establishing a to-be-rendered management page corresponding to a to-be-configured parameter, obtaining a parameter type of the to-be-configured parameter, and determining a configuration template matched with the parameter type of the to-be-configured parameter; importing configuration data corresponding to the to-be-configured parameter based on the configuration template to obtain a configured parameter, wherein the configuration data is used to indicate at least one dimension of the to-be-configured parameter and a corresponding parameter value; rendering the management page based on a preset function module and the configured parameter, and managing the configured parameter based on the management page, wherein the preset function module is used to realize a preset function in the management page. The present disclosure reduces the research and development resources of the development investment of the management page for the parameter, reduces the development threshold of the management page, and improves the parameter maintenance efficiency, so as to better meet the needs of the user in page development and maintenance.

The embodiment of the invention provides an engine dynamic compiling method and system. According to the method, firstly, a dynamic compiling middle layer is implanted into an engine byte code output end in advance, hot functions are screened according to a preset rule when function byte codes are executed, invalid compiling of non-key functions is avoided, and resources are saved; secondly, for the determined hotspot function, collecting parameter type data covering a unique identifier of the function, a parameter type sequence, the number of calling times and a type stability score for subsequent accurate compilation; dynamically selecting a target compiling mode through a function complexity factor and a type stability score; and finally, generating a type-specific dynamic compiling module based on the target compiling mode, and completing data interaction by means of a shared memory mechanism to operate the module, thereby reducing delay loss of traditional data serialization copying, and remarkably improving the execution speed of the system.

The application discloses a command verification method and device, electronic equipment and a storage medium. The method comprises the following steps: obtaining a target command through an input interface, extracting a target parameter and a parameter value of the target parameter in the target command; obtaining parameter data information; wherein the parameter data information comprises any one or a combination of a plurality of parameters, a parameter type, a parameter value information, and a relationship between different parameters; the parameter type comprises a mandatory parameter and a non-mandatory parameter; the relationship between different parameters comprises a binding relationship and a mutual exclusion relationship; and the target parameter and the corresponding parameter value are verified according to the parameter data information, and a verification result of the target command is generated. Through the automatic parameter verification, the reliability of command execution is improved, and the operation efficiency of the user is improved.

The present disclosure discloses a parameter extraction method for an energy storage management system based on natural language interaction, and belongs to the technical field of energy storage for new energy power systems, comprising: dividing parameter types, collecting natural language interaction corpora, labeling parameters, constructing a word segmentation set, coding natural language interaction corpora, calculating prior probabilities and conditional probabilities, persisting the prior probabilities and the conditional probabilities, inputting new corpora, loading the prior probabilities and the conditional probabilities, calculating posterior probabilities according to a naive Bayes formula, and extracting parameters corresponding to a maximum value of the posterior probabilities. According to the present disclosure, parameters are extracted using a natural language interaction manner, which reduces a threshold of use of conventional energy storage management systems.

The present application belongs to the technical field of power plant and substation simulation. Disclosed are a time-series simulation method and system for massive power plants and substations, and a related apparatus. The method comprises: on the basis of an input power plant and substation model and according to a parameter attribute classification, constructing a parameter module system, and on the basis of parameter types, establishing different parameter module classes; on the basis of a set theme of a simulation application scenario, evaluating the complexity of a required parameter module, and using the parameter module system and the parameter module classes to generate a parameter module set; constructing a time-series computing simulator including parameter module set assignment, a unified computing module and a time advancement module; and cyclically receiving simulation events and assigning values, updating the parameter module set on the basis of the assigned values, and synchronizing updated parameter module set data to the time-series computing simulator, so that the time-series computing simulator performs unified computing and outputs a power plant and substation simulation result. The method supports long-timescale time-series simulation computing and does not require independent parallel computing within each device, thereby alleviating parallel computing pressure and improving the computing efficiency and resource utilization.

The invention provides a WebSocket interface test method, test framework and system, and the method comprises the steps: determining and displaying at least one interface definition parameter type of a to-be-tested interface, so as to enable a tester to compile a test case according to the at least one interface definition parameter type; in response to the input of at least one debugging parameter aiming at the debugging interface, communicating with the WebSocket server side based on the at least one debugging parameter, and determining and displaying at least one interface debugging result parameter type returned by the WebSocket server side, so that a tester compiles a test case according to the at least one interface debugging result parameter type; and in response to a trigger instruction of interface test scheduling, automatically obtaining at least one target test case written by a tester from the code library to test the to-be-tested interface, and generating a test report corresponding to the to-be-tested interface. Therefore, the interface testing efficiency can be improved.

The present application relates to the technical field of simulator data processing, and particularly relates to a JS script automatic generation method and system suitable for a Hongmeng NEXT simulator. The method comprises the following steps: starting a Hongmeng NEXT simulator environment, loading a preset JS script template, and obtaining a target method list in a preset API corresponding interface set; calling a preset injection tool to parse a shared library file in the Hongmeng NEXT simulator running environment, exporting a function symbol table of the shared library file, and extracting a target function address corresponding to the target method list; determining an entry position, a parameter type, a return value type and stack information of the target function based on the target function address, and forming a function information set. The present application realizes automatic script generation and dynamic function monitoring for the Hongmeng NEXT simulator, can accurately identify the target function and adapt to the system environment, thereby improving the accuracy, real-time performance and compatibility of test analysis.

The invention relates to the technical field of data processing, and discloses a cross-service link computer parameter consistency verification method and system, and the method comprises the steps: building a parameter correlation model in a parameter management platform according to the topological structure of a target Internet of Things service link and the function role of each node; then, initiating a configuration parameter acquisition request to each node in the link, and receiving and acquiring parameter data returned by each node during current operation; and carrying out cross-node consistency verification based on the parameter association model and the parameter data during the current operation, and generating a parameter consistency verification report. If the report indicates that parameters are inconsistent, a parameter repairing instruction set is automatically generated according to inconsistent parameter types and constraint relations defined in a model, the parameter repairing instruction set is distributed to corresponding inconsistent nodes in a link, the nodes are driven to execute parameter updating operation, and the nodes need to feed back execution results to a parameter management platform; according to the method and the device, the computer parameter consistency verification efficiency of the cross-service link can be improved.

The application discloses a chapter-level event extraction method and device, equipment and a storage medium. For a target chapter carrying title information, event parameter extraction is directly performed without trigger word identification. An event extraction result is composed of parameter values of various types of event parameters, event names and event types, and is more in line with chapter characteristics. Since trigger word identification is omitted, the entire processing procedure is simpler. In the event parameter extraction process, the target chapter is divided into sentences, and parameter values of various types of event parameters in each sentence are extracted in sequence according to an event parameter type template. Since event parameter extraction is performed at the sentence level, the marked event parameters can be prevented from being chaotic. For each type of event parameter, the parameter values of the type of event parameter extracted in each sentence are integrated to obtain integrated parameter values. The integrity of the parameter values of various types of event parameters extracted at the chapter level is ensured, and the problem of chaotic marked event parameters is avoided.

The present application relates to the technical field of data processing, and disclose a computer parameter consistency checking method and system across service links, the method comprises: in the parameter management platform, according to the topology structure of target internet of things service link and the function role of each node, a parameter correlation model is established;Then initiate configuration parameter collection request to each node in the link, receive and obtain the current runtime parameter data returned by each node.Based on the parameter correlation model and the current runtime parameter data, cross-node consistency checking is carried out, and a parameter consistency checking report is generated.If the report indicates that there is parameter inconsistency, according to the inconsistent parameter type and the constraint relationship defined in the model, a parameter repair instruction set is automatically generated, which is distributed to the corresponding inconsistent nodes in the link, to drive the nodes to perform parameter update operation, and the nodes need to feed back the execution result to the parameter management platform;The present application can improve the computer parameter consistency checking efficiency across service links.

This application provides a function registration method, apparatus, electronic device, and storage medium, relating to the field of computer technology. It solves the technical problem that when the number of functions to be registered is too large, each function needs to be manually written and registered, leading to low efficiency in function writing and registration. The method includes: obtaining an initial function and its corresponding configuration file, the configuration file including the initial parameter type of each of the multiple parameters corresponding to the initial function; parsing the initial function to obtain a target expression, which characterizes the operation rules of the initial function; converting the initial parameter type of each parameter to obtain the target parameter type of each parameter; generating a target function based on the target parameter type of each parameter and the target expression; and registering the target function.