59 results about "Function definition" patented technology

The invention discloses an intention understanding tool calling method based on a large model function call technology, and the method comprises the following steps: S1, obtaining a natural language instruction of a user, and carrying out the preprocessing of the natural language instruction; s2, based on the structured instruction fragment and the context dialogue information, constructing a semantic vector for intention recognition, and inputting the semantic vector into a large language model; s3, screening function description information from a function definition library according to an intention recognition result; s4, extracting parameter content from the semantic vector under the constraint of a parameter limiting condition; s5, constructing a call request format conforming to a function call interface specification, and executing a corresponding tool call task; and S6, receiving a function calling result, generating a natural language response text, and outputting the natural language response text to a user interface to complete an instruction response closed loop. According to the method, full-automatic semantic mapping from a natural language instruction to tool function calling is realized, and the analysis accuracy and the calling success rate are improved.

A generative artificial intelligence system includes a retrieval augmented generation (RAG) assistant that utilizes function calling to facilitate multi-source data retrieval to enhance user queries transmitted to a large language model (LLM). The RAG assistant Transmits, to the LLM, a function selection instruction prompt that includes conversation history data, a function list including function definitions that each correspond to a data source, and instructions directing the LLM to return a function call to at least one function defined on the function list identified as relevant to the conversation history data based on a corresponding function descriptor. In response to receiving a function selection response from the LLM that includes the function call, the RAG assistant selects and executes a conditional operation based on a name of the at least one function.

The invention relates to the technical field of artificial intelligence and software development, in particular to a context-aware code generation and real-time optimization method and system based on a large language model.The method comprises the following steps that a compiler front-end technology is utilized, input codes are analyzed, and an abstract syntax tree is constructed; function definition, variable declaration and statement block structure information are extracted through an abstract syntax tree, so that syntax and semantic structures of codes are obtained, and basic data support is provided for subsequent code generation and optimization; the method has the beneficial effects that the context graph covering grammar, semantics and runtime behaviors is constructed by fusing static grammar analysis (AST construction) and dynamic execution tracking (such as variable value change and function call time sequence), and the problem of context perception deficiency in a traditional code generation technology is solved. And the compatibility, the maintainability and the expandability of the generated code and the project architecture are improved.

The embodiment of the invention discloses a test script generation method, system and device, a medium and a product, and relates to the technical field of tests.The method comprises the steps that target structured DBC data is obtained; processing the target structured DBC data by utilizing a target test script generation model to obtain at least one CAPL test script fragment; the target test script generation model is obtained by training according to historical structured DBC data and corresponding historical CAPL test script fragments; the CAPL test script fragment comprises at least one of variable declaration, function definition and event processing; and according to the at least one CAPL test script fragment, determining a target CAPL test script so as to quickly realize verification of the CAN bus communication condition.

A compute server of a distributed cloud computing network receives an inference request. The inference request triggers execution of code that is related to an AI application that interacts with the inference request and causes its input to be run through an AI model. Helper code executing on the compute server transmits an inference request to the AI model, where this inference request includes a prompt and one or more function definitions, and where the AI model is executing in the same datacenter as the compute server. The helper code receives a result of the AI model executing the inference request, where it includes structured data for calling a function. The helper code calls the function using the structured data. The helper code receives a response to the called function. The code processes a response to the inference request based at least on the received response to the called function.

The invention discloses a vehicle body domain controller hardware-in-the-loop simulation method under an AUTOSAR architecture, and the main conception of the method is that based on the standardized interface definition of an AUTOSAR basic software layer, an HIL cabinet hardware channel standardized mapping relation library is established, and thus a hardware corresponding relation configuration file template is constructed; establishing a subsystem simulation model for each functional module and constructing a three-layer decoupling architecture in combination with different functional specifications to realize dynamic binding of test software and a hardware channel; then, based on an actual hardware interface and software function definition, a simulation test bench is built, and verification is completed; and finally, generating an automatic test case based on the function specification, and carrying out the function test of each subsystem of the vehicle body domain controller in the current test environment. According to the invention, the rack development period is obviously shortened, the flexibility and expandability of the test environment are improved, and the full-life-cycle test verification capability optimization is realized.

The invention discloses a combination instrument test method and device and a medium, and the method comprises the steps: obtaining a function definition of a to-be-tested combination instrument, carrying out the analysis and classification of the function definition based on a preset function module division rule, and generating a plurality of test function module sets; for each test function module set, generating a corresponding automatic test script according to the display type and the association relationship of the display signals in the test function module set; automatic test scripts corresponding to the selected target function modules are loaded and run in sequence, and corresponding display signals are sent to the to-be-tested combination instrument according to the sequence, value and time sequence logic defined in the automatic test scripts; and observing and recording an actual display state of the to-be-tested combination instrument after executing the corresponding automated test script, and comparing and analyzing the actual display state and an expected display state predefined in the test case to generate a test judgment result for the target function module.

The invention provides a hybrid computing task classification method and device, equipment and a medium, and the method comprises the steps: carrying out the grammar analysis of an input hybrid computing code, generating a tree structure reflecting a code structure, and extracting subtask units and unit information in the hybrid computing code based on the tree structure; extracting feature words of the unit information according to the unit information; obtaining a subtask type of a predefined hybrid computing task and a corresponding keyword; and respectively mapping the keywords and the feature words into semantic vectors, and calculating semantic similarity to determine the subtask type of the subtask unit. The tree structure is obtained through the abstract syntax tree algorithm, so that the hybrid computing code is analyzed, the function definition and the dependency relationship thereof are accurately extracted, and subjectivity and errors possibly brought by manual intervention are avoided.

The invention belongs to the technical field of industrial dynamic formula execution, and discloses an analysis-free high-availability and high-performance formula execution method. The method comprises the following steps: S1, formula extraction and function body construction: receiving a calculation formula input by a user, and taking the calculation formula as a function body core calculation logic; s2, function packaging: adding a function head and a return value statement for a function body, and constructing a complete function definition character string; wherein the function head comprises a function name and a parameter list; and S3, function persistence and dynamic import execution: writing a function character string into an independent Python module file, and calling and executing through a dynamic import mechanism. According to the method, function packaging is adopted, the repeated lexical analysis and grammar analysis process which must be carried out when a traditional event () method is executed each time is eliminated, and the problems that a formula is forcibly required to only comprise functions of input parameters, calculation expressions and return values, and the bottleneck of industrial real-time application and the fragility of a whole framework are solved.

Technologies for providing attestation for function as a service flavors include a compute device including circuitry configured to obtain function definition data indicative of a set of operations to be performed in a function and a set of hardware resources to be utilized by the function, execute a benchmark operation to produce benchmark data indicative of a measured performance of the function, and sign the function definition data and the benchmark data to produce function flavor data. The circuitry is also configured to provide the function flavor data to one or more other compute devices for validation that the function, when executed on the hardware resources, provides the measured performance and write, to a distributed ledger, the function flavor data.

The invention discloses a track section automatic turn-back attribute and safe area generation method and device and a medium. The method comprises the steps that topological data and function definition data of a track traffic line are input; on the basis of the incidence relation between the function definition data and the topological data, through a predefined attribute calculation rule, automatic turn-back attributes of related track sections in the line are automatically calculated, and the automatic turn-back attributes are used for identifying function roles of the track sections in automatic turn-back; on the basis of the automatic turn-back attributes of all the track sections, one or more continuous automatic turn-back safety function areas are automatically generated through a path search algorithm; and outputting the automatic turn-back attributes and the automatic turn-back safety function area information of all the track sections. Compared with the prior art, the method has the advantages that the track section attributes are automatically calculated, the safety function area is generated, and automatic and accurate conversion from the line data to the automatic turn-back control data is achieved.

The invention discloses an automatic vehicle-mounted protocol analysis and function verification method and device, equipment and a medium, and belongs to the technical field of communication. The method includes performing a configuration on a pre-selected packet capture filter to capture an original packet; performing multi-round data cleaning on the original data packet, storing the original data packet as a preset format file, and performing data division; establishing a function definition mapping relation for each field; loading the preset format file by using an automatic analysis tool and analyzing the data packets one by one so as to extract related fields from the analyzed data packets, and then executing format conversion; and matching the related fields subjected to format conversion with a pre-established function definition model so as to identify the specific meaning of each related field and the corresponding vehicle-mounted function thereof. Through automatic analysis and mapping function definition, manual intervention is remarkably reduced, the efficiency and accuracy of data analysis are improved, the cost of data analysis and function verification is reduced, and the resource utilization rate is increased.

The invention aims to provide a three-dimensional function extreme value dynamic visualization teaching software algorithm based on a gradient rising method, which helps students to intuitively understand the principle and effect of the gradient rising method by dynamically displaying the gradient rising process, and improves the teaching effect. The three-dimensional function definition module defines a three-dimensional function f (x, y, z), and the function has a clear extreme point. The gradient calculation module calculates the gradient f (x, y, z) of the function f (x, y, z). The gradient ascending algorithm module utilizes a gradient ascending method to iteratively update parameters and gradually approaches extreme points of the function. And the dynamic visualization module gradually displays the track change after each iteration through an animation updating function, so that students can intuitively observe the dynamic change in the gradient rising process. And the animation storage module stores the dynamic visualization result as an animation file in a GIF format, so that teaching demonstration and student review are facilitated.

This invention discloses a data encoding system and method based on simplicated complex homogeneous linear codes. The system includes: a parameter initialization module for initializing the construction parameters of an n-ary multivariable function F; a function definition module for generating the multivariable function F based on the construction parameters; and a definition set extraction module for constructing a definition set D. F ; Linear code generation module, used to generate linear codes according to the definition set D F This invention employs an inner product mapping to construct a basic p-ary linear code corresponding to the defined set; a homogenization processing module is used to homogenize the multivariable function F to obtain an (n+1)-ary homogeneous function; and a homogenized code generation module is used to generate a homogenized definition set based on the homogenized function, and then generate a homogenized p-ary linear code based on this set. This invention solves the problems of existing p-ary linear code construction techniques being complex in structure, having uncontrollable parameters, or being difficult to analyze weight distribution, leading to difficulties in efficient deployment in engineering.

The application discloses a hardware-in-loop simulation method of a vehicle body domain controller under an AUTOSAR architecture, and the main idea of the application is that a standardized mapping relationship database of a HIL cabinet hardware channel is established based on standardized interface definition of an AUTOSAR basic software layer, and a hardware corresponding relationship configuration file template is constructed; in combination with different function specifications, a subsystem simulation model is built for each function module, a three-layer decoupling architecture is constructed, and dynamic binding of test software and the hardware channel is realized; then, based on actual hardware interfaces and software function definitions, a simulation test bench is built and verification is completed; finally, automatic test cases are generated based on the function specifications, and each subsystem function test of the vehicle body domain controller is carried out in the current test environment. The application significantly shortens the development cycle of the test bench, improves the flexibility and expandability of the test environment, and optimizes the whole life cycle test verification capability.

The invention discloses a log generation method and device, electronic equipment and a storage medium, and the log generation method comprises the steps: receiving a second dictionary table corresponding to a first software code of an upgrade version sent by a cloud, the second dictionary table is obtained by acquiring the change content of the first software code, which is changed compared with the second software code of the original version, and updating the first dictionary table corresponding to the second software code according to the change content, and the change comprises at least one of modification, addition and deletion; the change content comprises at least one of code files, function declarations and function definitions, and table entries in the dictionary table comprise combination names obtained after the function declarations and the code files where the function declarations are located are combined and identifiers corresponding to the combination names; in the process of generating the log generated when the first software code is operated, the combined name corresponding to the identifier is replaced based on the identifier in the second dictionary table, the generated log is obtained, and then the size of the log is compressed.

The invention discloses an embedded system. The embedded system comprises a CPU (Central Processing Unit), an interface function reconfiguration controller and a first connector, the input end of the interface function reconfiguration controller is connected with each functional interface of the CPU in a one-to-one correspondence manner, the output end of the interface function reconfiguration controller is connected with the input end of the first connector in a one-to-one correspondence manner, and the output end of the first connector is used for being connected with external equipment; the interface function reconfiguration controller is configured to receive an interface function reconfiguration instruction; determining a target interface and a target function definition of an interface function reconstruction controller according to the interface function reconstruction instruction; and reconstructing the function definition of the target interface of the interface function reconstruction controller according to the target function definition. In the embodiment of the invention, the interface function reconfiguration controller is introduced into the embedded system, and the interface function definition is dynamically configured through the interface function reconfiguration controller, so that the pin function of the connector is changed, the limitation of interface curing of a traditional module is broken through, and the resource waste is reduced.

Embodiments of the present application provide a kind of function control program's architecture method, device, storage medium and computer equipment.The method comprises: obtaining the function definition table of setting;Function definition table is input into parsing tool, and function configuration table and software development kit function file are generated;According to software development kit function file, the function interface of function control program is set;According to software development kit function file, the function / value interface parameter model of function control program is generated;According to function configuration table, the software development kit of function control program is generated.The technical scheme provided in the embodiments of the present application, function definition table is regarded as only input, unified function interface is designed based on parsing tool, can keep function interface uniform, consistent and scalable, improve the efficiency of application development.

The invention provides a static analysis and large language model-based open source software functionality measurement method, which comprises the following steps of: 1) receiving and analyzing a software source code, and constructing a function and class call atlas by virtue of a compiling tool; 2) based on the important attributes of the functions and the calling relation between the functions, generating a structured document for the functions by means of LLMs; 3) based on the important attributes of the classes, the incidence relation between the classes and functions and the calling relation between the classes, generating structured documents for the classes by means of LLMs; 4) based on the generated function document, generating a structured document by means of LLMs; 5) based on the generated function document and module document, generating a structured warehouse document by means of LLMs; 6) analyzing the difference between two pieces of software and providing software model selection suggestions by means of LLMs based on the extracted function definition, the generated module document and the warehouse document, and 7) answering questions of a user by means of LLMs based on the generated function document, class document, module document and warehouse document.

The application relates to the technical field of APP development, in particular to an industrial application software code testing method based on a large model, which comprises the following steps: receiving an industrial application software source file, parsing function definition statements and interface calling instructions in the file, extracting logical connection relationships between various business modules, constructing a function calling topological graph reflecting code unit directivity, and mapping code character sequences of each node in the function calling topological graph to a high-dimensional numerical coordinate system through a large model. In the application, conditional branching and parameter type reverse deduction are performed on a key path, constraint conditions are solved, and regression test case data capable of triggering a specific business scenario are automatically generated. In this way, the selection of a test focus, the discovery of a key path and the generation process of test data are automated and intelligentized, so that test resources can be accurately invested in function links with the highest value and the highest risk in software, and the test efficiency is improved.

The invention discloses a Toast message calling detection method and device, a terminal and a medium. According to the scheme provided by the invention, based on the to-be-detected code file, scanning is carried out according to the function definition information in the code file, when the target function is scanned, the first Boolean mark is activated, Toast message function field scanning is carried out in the action range of the target function, when the Toast message field is detected and the first Boolean mark is activated, the position is recorded, and the parameter is extracted; and resetting the first Boolean mark when the function ending mark is scanned, and finally outputting a detection result. According to the scheme, the function action range is accurately marked through the first Boolean mark, the entry and exit states of the function action range are dynamically tracked, and a matching mechanism of a specific field is combined, so that more accurate detection is realized, and the technical problem of low detection accuracy in a multi-layer nested function scene is solved.

Embodiments provide systems and methods for implementing a customizable enterprise automation testing framework. A workflow definition, a page structure definition, and a function definition for automated testing of an enterprise website can be received. A hybrid script parser can parse the workflow definition, the page structure definition, and the function definition to generate a hybrid script for automated testing. An automated tool parser can parse the hybrid script to generate an output of the automated tool. Based on the output from the automated tool parser, a runtime script can be generated, and the runtime script is executed by the automated tool to generate the results of the automated test, where the automated tool implements steps of one or more workflows on multiple web pages of the enterprise website to generate the results of the automated test.

This application provides a method, apparatus, electronic device, and storage medium for automated code analysis. The method includes: constructing parsing parameters based on the source file root directory, header file search path, and predefined AUTOSAR target macros in response to a parsing parameter construction operation; performing syntactic analysis on the source code based on the parsing parameters using a Clang compiler frontend to generate an abstract syntax tree; recursively traversing the abstract syntax tree to identify function definition nodes to extract function information and to identify function call expression nodes to capture the call relationship between the caller and the callee; and storing the function information and call relationship in a structured format as a function listing file and a call relationship file. This application can improve the efficiency and accuracy of C language code analysis under the AUTOSAR architecture, and realize the structured storage of function information and the visualization of call relationships.

The invention provides a front-end integrated unit testing method, device and equipment, a medium and a program product, which can be applied to the technical field of unit testing. The method comprises the steps that a code file of a first front-end project is obtained based on a version control system, the first front-end project is not integrated with a unit test framework, and the code file at least comprises an incremental code file newly added and / or modified in the version issuing process; extracting a target function which needs to be subjected to unit testing from the code file through a regular matching rule adaptive to a first front-end project technology architecture function definition grammar; generating a basic test case template based on the structure information of the target function, and converting the basic test case template into an executable test code according to a grammar specification of a preset bottom layer unit test framework; establishing a unit test core system comprising a bottom layer unit test tool, version difference analysis logic, a regular matching screening rule and a test case writing grammar specification; and testing the target function by using the unit test system.

The invention discloses an intelligent interaction method and device based on an Agent and a system interface, electronic equipment and a storage medium, and relates to the field of system interaction.The intelligent interaction method comprises the steps that abstract processing is conducted on operation ports of a target system, an interface document is formed, and parameter types, function definitions and executable operation instructions of the operation ports are recorded in the interface document; storing the interface document to a preset storage unit; performing learning training on the interface document by adopting a large model; the Agent unit obtains an interaction instruction sent by a user and collects current state information of a target system; the Agent calls the large model and analyzes the interface document in combination with the interaction instruction and the current state information to generate an executable operation sequence, and the operation sequence converts the target system from the current state to the target state; the target system executes the operation sequence; in the operation sequence execution process, state updating information of the target system is collected in real time and fed back to the Agent unit, and the Agent unit dynamically adjusts the operation sequence according to the state updating information.

A field wiring design system and a design method thereof belong to the field of field wiring systems in the industrial control industry, and specifically relate to a field wiring design system and a design method thereof. The present invention provides a field wiring design system and a design method thereof that has a simple system, low operating difficulty, and can automatically generate a list. In the present invention, the file management module is used to create new files, import files, and delete files; the template management module is used to generate corresponding hub templates according to requirements, and connect the generated template ports to the grassroots communication module and the gateway module respectively; the component library management module is used to call standard components and customize the properties of non-standard components; the function definition module is used to classify, refine the properties and make notes for the selected components; the output module is used to generate detailed project information for the drawn project, and output the detailed project information. The present invention is mainly used for field wiring of hubs.

The invention discloses a test case generation method and system based on cross-modal information fusion and iterative optimization, and the method comprises the steps: receiving and analyzing a software demand document containing a text and an image, and extracting cross-modal information in the document; inputting the extracted cross-modal information into a multi-modal large model, cooperatively analyzing function definition and visual information through a cross-modal attention mechanism, extracting software function points, and classifying the function points according to a preset multi-level hierarchical structure; based on the classified function point hierarchical structure, generating a corresponding multi-level test point structure according to a mapping rule of the function points and the test points; generating a test case set containing a plurality of core fields according to the multi-stage test point structure, structuring and organizing the test case set into an initial JSON file, and executing at least one iterative optimization process on the initial JSON file to generate an optimized JSON file; and analyzing the optimized JSON file to generate a test case for an actual test.

The invention discloses a vehicle end product evaluation method, device and equipment and a storage medium, and is applied to the technical field of Internet of Vehicles data analysis, and the method comprises the steps: obtaining the function configuration information of a to-be-evaluated vehicle end product; wherein the function configuration information comprises at least one of a function triggering mode and function definition information; determining a target product feature of the to-be-evaluated vehicle end product according to a product feature condition met by the function configuration information; wherein different product feature conditions correspond to different target product features; evaluating the to-be-evaluated vehicle end product according to the obtained index parameter corresponding to the target product feature to obtain the product type of the to-be-evaluated vehicle end product associated with the target product feature; wherein the product type is associated with the user emotion dimension.

The application discloses a scene function data updating method and device, an electronic device and a storage medium, wherein the scene function data updating method comprises the following steps: obtaining a new function definition and an old function definition of a target device; establishing a mapping relationship between the new function definition and the old function definition; updating a scene function supported by the target device at present by using the new function definition; detecting whether a target scene function is applied to a scene function configuration; wherein the target scene function refers to a scene function with a changed function definition; if it is detected that the target scene function is applied to the scene function configuration, updating the scene function configuration to which the target scene function is applied based on the mapping relationship between the new function definition and the old function definition. Thus, a convenient scene function data updating method is realized.

This invention provides a method and apparatus for pattern conversion in calling tools from object models to language models. The method includes: receiving and parsing input object model description data, and extracting action fields, attribute fields, and supplementary configuration fields from the object model description data; mapping the action fields to first-class tool function definitions recognizable by the large language model; splitting and reconstructing the attribute fields into independent attribute acquisition functions and attribute setting functions, and adding constraints to the parameters of the attribute acquisition functions and attribute setting functions; converting the supplementary configuration fields into synchronous interaction functions and tool-level annotation information adapted to the large language model; aggregating the first-class tool function definitions, second-class tool function definitions, synchronous interaction functions, and tool-level annotation information, and outputting a parameter pattern file conforming to the large language model tool calling specification. This achieves standardized automatic bridging between IoT devices and the large language model interface, reducing the cost of connecting massive numbers of devices to the large model.