95 results about "Parameter Type" patented technology

The invention discloses a method for automatically generating a dynamic language test case based on a large language model, which comprises the following steps of: firstly, in a preprocessing stage, arranging related information of a to-be-tested program into prompts, analyzing a parameter type of the to-be-tested program by the large language model according to the prompts, and generating code information required by a test through an abstract syntax tree; in the test case generation stage, a dynamic multi-objective optimization algorithm is adopted, test cases are continuously crossed and mutated through branch coverage feedback, in the partial evolution process, test data which cannot be generated by conventional variation are generated by utilizing a large language model, and finally, the screened excellent test cases are organized into a complete test suite. In a program repair phase, the test suite is run to detect potential errors, the errors are analyzed and iteratively repaired using a large language model, and an executable and error-free test suite is generated. According to the method, the test coverage rate of the dynamic language is remarkably improved, and the achievement of a coverage target is accelerated.

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.

The invention discloses an API calling method and device and a readable storage medium. The method comprises the following steps: receiving a first request for calling a first API sent by user equipment; a parameter checking model is determined according to parameter information extracted from a first API code corresponding to the stored first API, first parameter information included in the first request is checked according to the parameter checking model, and the parameter information comprises at least one parameter name and a parameter type corresponding to each parameter name; a parameter format and one or more of a parameter range; and under the condition that the first parameter information is abnormal, sending a first error response indicating that the specific parameter is wrong to the user equipment. Through the process, the parameters in the request can be checked in time, and specific error information is returned to the user, so that the user equipment modifies the parameters in time, the situation of API calling failure caused by parameter errors can be avoided, and the accuracy and efficiency of API calling are improved.

The invention discloses a database parameter adjusting and optimizing method based on parameter type customization optimization, and belongs to the field of database configuration optimizing.The method comprises the steps that a database parameter space is divided into a continuous type parameter subspace and a classified type parameter subspace according to parameter types, and the continuous type parameter subspace and the classified type parameter subspace are projected to a low-dimensional space; a GP model and an SMAC model are used as proxy models in the low-dimensional continuous parametric subspace and the classification parametric subspace respectively to search continuous parametric configuration and classification parametric configuration; interaction between the GP model and the SMAC model is realized through iterative optimization and a context-based communication mechanism; and mapping a parameter configuration result back to a database parameter space for performance evaluation. According to the method, the database parameter tuning performance and efficiency can be effectively improved, and a user is allowed to search database parameter configuration with higher performance in a shorter time.

The invention relates to the technical field of transformers, in particular to a transformer parameterization design method, device and equipment, and the method comprises the following steps: solidifying a transformer design standard and specification in an Excel worksheet, and defining a control parameter through a set compiling grammar; the control parameters comprise a real number type, an integer type, a character string type and a Boolean type; one writing grammar is set for each parameter type; exporting control parameters in the Excel worksheet as an XML (Extensible Markup Language) file; creating a notebook file in automatic design software, and importing the control parameters in the XML file; based on the imported control parameters, parametric modeling is carried out in automatic design software, and a three-dimensional model of the transformer is generated; and automatically generating a two-dimensional engineering drawing of the transformer according to the three-dimensional model. Standardization of links such as design, manufacturing, installation and operation of the transformer is effectively ensured, and therefore performance and reliability of the transformer are greatly improved.

Embodiments of this application relate to the communications field, and disclose a parameter configuration method, to resolve a problem of how to determine a parameter of a second-type bandwidth part BWP in a case of a discrete spectrum. A solution includes: for the parameter of the second-type BWP, determining a parameter determining rule based on a parameter type of the second-type BWP, where the second-type BWP includes N frequency domain resources, N is a positive integer, and N is greater than or equal to 2; and determining a parameter value of the second-type BWP according to the parameter determining rule. The embodiments of this application relate to a process of configuring the parameter of the second-type BWP.

The invention discloses a method, a system and a device for determining test parameters of a memory and a storage medium. The method comprises the following steps: acquiring performance demand information of the memory; determining a first parameter type according to the performance demand information and a preset performance parameter table; performing a first performance test on the memory based on the first parameter type to obtain a first test result; under the condition that the first test result represents that the performance value of the memory is greater than or equal to the expected performance value, configuring the first parameter type as a test parameter of the memory; under the condition that the first test result represents that the performance value of the memory is smaller than the expected performance value, correcting the first parameter type to obtain a second parameter type; and configuring the second parameter type as a test parameter of the memory. The corresponding parameter type can be determined according to the performance requirement of the memory, so that the test meets the performance requirement, and the test efficiency is improved.

A system includes a first artificial intelligence unit that predicts a performance value by using, as an input, each of a plurality of verification datasets including combinations of the parameter types that are same as the combinations of the parameter types at the time of learning; a selection unit that selects one set of parameter types from a plurality of sets of parameter types included in the plurality of verification datasets predicts performance values of a target substrate processing apparatus obtained by changing variable parameters among the parameters including the selected set of parameter types with, as an input, a fixed parameter intrinsically determined for a target substrate processing apparatus among parameters including the selected set of parameter types, and outputs a combination of parameter values yielding a performance value, among the predicted performance values, satisfying an extraction criterion.

The invention discloses a tool calling method and device, electronic equipment, a medium and a program product, and relates to the technical field of computers. And converting a first parameter output by the large language model based on the data description corresponding to the function tool into a second parameter capable of being input into a target function corresponding to the function tool, calling the target function based on the second parameter to obtain a calling result output by the function tool, and then returning the calling result to the large language model. The big language model can output the first parameter according to the input parameter structure of the target function, so that the function tool can automatically convert the first parameter into the second parameter, and the effect that a developer does not need to process parameter analysis and mapping is achieved; the code quantity is greatly reduced, the development efficiency is greatly improved, and adaptation of complex parameter types can be supported.

The invention discloses a knowledge-guided credible API (Application Program Interface) recommendation method based on a large language model. The core idea of the method is to improve the credibility of LLM (Logical Language Model) in an API recommendation task by utilizing API knowledge. Specifically, in order to solve the problem that the LLM is not credible in API recommendation, the invention provides knowledge-guided data enhancement so as to improve the ability of the LLM to establish the relevance between a user specified type and an API sequence; proposing a knowledge-guided beam search to guide the LLM to generate an API that is real and that can be satisfied in call conditions; and proposing a knowledge-guided reordering optimization API sequence recommendation list, so that the API sequence matched with the interface parameter type is ranked in the top in the recommendation result. The method has the advantages that API recommendation can be realized under the constraint of the interface parameter type, and the credibility of a large model in an API recommendation task can be improved through high-quality priori knowledge in the API knowledge graph.

The invention discloses a pressure test script parameterized file data generation method and device. The method comprises the following steps: acquiring a swagger definition of an API (Application Program Interface), and obtaining a parameter definition file in a preset format; analyzing the parameter definition file, and obtaining all parameters and corresponding parameter types of the API; and generating random data according to all the parameters and the corresponding parameter types.

The invention provides a test data combination processing method and device, computer equipment and a storage medium, and belongs to the technical field of data processing. The method comprises the steps that target test parameter information is read, the target test parameter information comprises information of a plurality of parameters, and the information of each parameter comprises a parameter name, a parameter type and an original parameter value; generating an initial test data combination according to the target test parameter information; determining a to-be-used parameter value of each parameter according to a parameter type and an original parameter value of each parameter in the target test parameter information; and replacing the original parameter value of each parameter in the initial test data combination with the to-be-used parameter value to obtain a to-be-used test data combination. According to the method and the device, different test data can be flexibly generated according to business requirements, and the generated data combination can be directly applied to business testing.

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.

The invention provides a training data generation method, electronic equipment, a storage medium and a program product. The training data generation method comprises the steps of obtaining function description information, wherein the function description information at least comprises a function name, a function description, a function input parameter type and a function input parameter description; predicting at least one function input parameter value according to the function input parameter type and the function input parameter description; predicting at least one user instruction according to the function description, the function input parameter description and the at least one function input parameter available value; respectively verifying the at least one function input parameter value and the at least one user instruction to obtain a function input parameter value passing the verification and a user instruction passing the verification; training data are generated at least according to the function name, the function input parameter selectable value passing the verification and the user instruction passing the verification, and the training data are used for training the target large language model to improve the function calling accuracy of the target large language model.

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.

The application discloses a database parameter tuning method based on parameter type customization optimization, and belongs to the field of database configuration optimization. The method comprises the following steps: dividing a database parameter space into a continuous parameter subspace and a discrete parameter subspace according to parameter types, and projecting the continuous parameter subspace and the discrete parameter subspace into a low-dimensional space; using a GP model and an SMAC model as proxy models to search for continuous parameter configurations and discrete parameter configurations in the low-dimensional continuous parameter subspace and the low-dimensional discrete parameter subspace respectively; realizing the interaction between the GP model and the SMAC model through iterative optimization and a context-based communication mechanism; and mapping the parameter configuration results back to the database parameter space for performance evaluation. The application can effectively improve the performance and efficiency of database parameter tuning, and allows users to search for database parameter configurations with higher performance in a shorter time.

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 present application discloses an event extraction method, related devices, and readable storage media. In this solution, the text to be subjected to event extraction is input into a parameter extraction model. After processing the text, the parameter extraction model outputs the parameter information corresponding to the text. Based on the parameter information corresponding to the text, at least one event included in the text is determined. In this method, since the parameter extraction model uses the parameter content corresponding to each preset combination of event types and parameter types annotated with training texts as sample labels, joint learning of event detection and parameter recognition is achieved, reducing the impact of cascading errors. Therefore, the accuracy of event extraction results can be improved by adopting this solution.

Methods and systems for shard optimized database queries using parameter-based indexes are provided. Exemplary methods include: receiving a database query that includes an index parameter and an index parameter range. A parameter table is accessed that contains an association between the parameter and parameter range and a shard identifier. Based on the parameter type and the range identified in the query, the relevant shards are identified, and the database query is limited to processing these shards.

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 relates to a compiling period parameter classification method and device, a target code generation method and device and computer equipment. The method comprises the steps of determining type information of a formal parameter list of a to-be-extracted function and a return value type in a compiling period; based on the function behavior of the to-be-extracted function, various types of information and return value types of the formal parameter list are processed in a recursive mode, and an input parameter type and an output parameter type are obtained; and classifying the formal parameters belonging to the input parameter type into an input parameter tuple list, and classifying the formal parameters belonging to the output parameter type into an output parameter tuple list. By adopting the method, automatic classification of parameter types can be realized under the condition of not depending on an IDL (Independent Disk Language) file.

The invention provides a statement processing method and device for a database, equipment, a medium and a product, the database can parse a to-be-processed statement to obtain a syntax tree, and an auxiliary parsing node is constructed for each expression node, so that the statement processing efficiency is improved by traversing the syntax tree. And according to the parameter class of the father node of the corresponding auxiliary node, the parameter type of the target expression node meeting the preset condition is converted, so that the parameter types of the constant and the binding parameter in the currently processed statement can be more accurately determined under the condition that the database can be used for processing data of at least two parameter types.

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.

The present invention relates to the field of chip testing technology, and discloses a bitstream verification method, device, equipment and medium for HardIP, the method comprising: obtaining parameter types and parameter constraints of the HardIP to be tested; generating an RTL file set based on the parameter types and parameter constraints, wherein the RTL file set includes a plurality of RTL files; obtaining a bitstream file and a reference file based on the RTL file, wherein the bitstream file is generated by EDA software, and the reference file is generated based on the RTL parameters in the RTL file; comparing the bitstream file and the reference file, and obtaining a bitstream verification result based on the comparison result. The present invention can reduce the computing resources required for HardIP bitstream verification.

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 present invention provides a reusable unified parameter management system, which includes: judging whether it is necessary to expand the parameter type, and if so, using the parameter enumeration method to expand the process to expand the parameters; otherwise, creating parameters by the parameter creation process; entering the parameter persistence process according to the created parameters; judging whether to establish parameter references in the case of multiple parameters, and if so, performing the parameter reference process; otherwise, ending the use. Reduce the cost of subsequent modifications. The module encapsulates parameters and restricts the use type, so that users do not need to worry about type conversion. It provides custom conversion rules and default types, providing a certain amount of expansion space. It performs persistent management for parameters and stores the parameters so that the parameters can be used across modules. It provides a parameter reference function, which gives logic between parameters by managing the parameters.