50 results about "Tree structured data" patented technology

The embodiment of the invention relates to the technical field of artificial intelligence, in particular to a generation system of an intelligent scoring model, and the generation system of the intelligent scoring model provided by the embodiment of the invention identifies and classifies the professional field of the intelligent scoring model by using a configuration management module, and manages and stores the configuration information of the intelligent scoring model. And calling the large language model by using a model generation module to generate original data about the intelligent scoring model, processing the original data by using a data processing module, outputting tree structure data with an association relationship, and finally obtaining the intelligent scoring model. The professional field and standardized intelligent scoring model can be quickly generated by using the large language model, time and labor are saved, and the accuracy of the intelligent scoring model in professional field knowledge is enhanced.

The invention discloses a code processing method and device fusing grammar structure and graph structure learning, and the method comprises the steps: collecting high-performance project codes, extracting hot code segments, and analyzing the structural features of the hot code segments; converting the hot code segment into an abstract syntax tree AST file, performing structured analysis, converting the file into Python tree structure data, and expanding node attributes; converting the tree structure data into graph structure data, generating edge, graph and node index files, and constructing the graph structure data and corresponding code structure labels; constructing a graph attention network model for different code structures, and training a plurality of GAT models based on graph structure data and labels; and converting the user input code, inputting the converted code into each GAT model for prediction, and integrating and outputting a feature vector. According to the method, grammar logic is accurately captured through AST conversion and node expansion, multi-language AST is unified into a graph structure, the recognition accuracy of a complex code structure is improved through a GAT multi-model architecture, full-process automation is achieved, and the labor cost is reduced.

A method includes determining, based on historical access data and a current data parameter, a root node representing a current state and at least one child node including an alternative strategy. The method further includes generating at least one extension node including an alternative strategy based on predictions of the historical access data and the at least one child node. The method further includes generating a first state vector by encoding tree-structured data including the root node, the child node, and the extension node. The method further includes selecting the alternative strategy corresponding to the child node or the extension node based on the first state vector to generate the retention strategy. Through this method, predicted future states can be integrated in a process of generating the retention strategy, which provides a more comprehensive perspective for decision-making, thereby improving the accuracy and effectiveness of the strategy.

The invention discloses a communication message log desensitization system, method and device, a medium and a program product. The system comprises: a client adaptation module, which is used for receiving byte data and a message type identifier of an original communication message from a service system through an application program interface; the analysis rule base is used for storing message structure configuration information of various message formats; the processing function warehouse is used for registering analytic functions of various message formats; the analysis processing engine is used for analyzing the byte data into tree structure data based on the message structure configuration information and an analysis function; the desensitization rule base is used for storing desensitization rules of various message types; and the desensitization execution engine is used for synchronizing the traversed tree structure data and the desensitization rule base so as to position a target message domain, and desensitizing the target message domain to obtain desensitized structured log data. According to the embodiment of the invention, the method can desensitize the complex message log, and the desensitization process is low in invasion to a service system and is low in maintenance cost.

The present disclosure relates to a method, an apparatus and a computer program product for generating a retention policy. The method includes determining a root node representing a current state and at least one child node including an alternative policy based on historical access data and a current data parameter. The method further includes generating at least one extension node including an alternative policy based on the prediction of the historical access data and the at least one child node. The method further includes generating a first state vector by encoding tree structure data including root nodes, child nodes, and extension nodes. And selecting an alternative strategy corresponding to the child node or the extension node based on the first state vector so as to generate a reservation strategy. Through the mode, the predicted future state can be integrated in the process of generating the retention strategy, and a more comprehensive view angle is provided for decision making, so that the accuracy and effectiveness of the strategy are improved.

The invention relates to a theme switching method and device, equipment, a medium and a program product, and the method comprises the steps: processing an original theme design file through a server, obtaining first layer tree structure data and initial resource data, adding a unique prefix to the name of each layer node in the first layer tree structure data, and carrying out the first layer tree structure data and the initial resource data; obtaining second layer tree structure data; and performing hash renaming on each resource file in the initial resource data to obtain target resource data, generating a target theme pack in combination with the second layer tree structure data, and sending the target theme pack to the vehicle-mounted terminal. And the vehicle-mounted terminal performs rendering according to the target theme pack in the created isolation sandbox to generate a target theme interface. According to the scheme, by adding the unique prefix to the name of the layer node, performing hash renaming on the resource file and performing rendering in the isolation sandbox, the uniqueness of the layer node name, the resource name, the variable name and the method name can be ensured, and the accuracy of theme switching is improved.

Techniques and architecture are described for converting tree structured data such as, for example, JavaScript Object Notation (JSON) data, into multiple feature vectors to train multiple instance learning (MIL) models for providing cybersecurity in networks. In particular, a data set is provided, wherein the data set comprises a sample configured as a hierarchal tree. The sample is converted into a set of path and value pairs, e.g., flattened into a set of path and value pairs, where the path is a sequence of field names and array indices encoding a position of a value. Each path and value pair of the set of path and value pairs is converted into a respective feature vector to form a set of feature vectors. The set of feature vectors is used to train a multiple instance learning (MIL) model, wherein each feature vector has a same, fixed length.

The invention relates to the technical field of block chains, and provides an account state data concurrent updating method, electronic equipment and a computer program product. The method comprises the following steps: determining each to-be-updated account of which the state data needs to be updated; sorting the accounts to be updated according to a sequence rule of storing the account state data by each leaf node of the tree structure data; for each to-be-updated account, distributing a state updating operation of the to-be-updated account to an updating task of a to-be-updated leaf node corresponding to the sequence of the to-be-updated account in each leaf node; and concurrently executing the updating task of each to-be-updated leaf node so as to complete the state updating operation of each to-be-updated account. According to the method, the consistency of the updated account state data of each block chain node can be improved while the data updating efficiency is improved by adopting tree structures such as a B + tree and the like.

The invention provides a tree structure data storage and query method and system and a medium, relates to the technical field of data storage, and solves the problems of performance bottleneck and hierarchical information loss of tree structure data storage and query in the prior art. The method comprises the following steps: generating and storing node data including a node identifier, a father node identifier, a hierarchy depth and a path identifier; the hierarchy depth of the node is obtained by adding 1 to the hierarchy depth of a father node of the node, and the path identifier is formed by splicing a path identifier of the father node of the node, a node identifier of the node and a predefined separator in sequence; in cross-hierarchy query, taking a path identifier of a target node as a left fuzzy matching condition, and performing condition screening in combination with hierarchy depth; and in the whole subtree query, performing reconstruction according to a query result. According to the method, retrieval based on the table structure in the database does not need to generate extra memory overhead, so that the query efficiency can be greatly improved, and the performance overhead can be greatly reduced.

This application discloses a data rendering method, apparatus, and storage medium. Relating to the field of data processing, the method includes: receiving raw data to be rendered via a program interface, wherein the raw data has a tree structure; obtaining configuration options corresponding to the raw data, and generating tree structure data based on the raw data and configuration options; determining the target node range based on the tree structure data and a target display area, and flattening the data within the target node range in the tree structure data to obtain target data; passing the target data to a virtual scrolling list component, and rendering the target data based on the virtual scrolling list component to obtain a tree-like rendering result of the target data. This application solves the problem of insufficient performance in data rendering in related technologies.

The invention relates to the field of data visualization, and discloses a tree structure data display method and device, electronic equipment and a storage medium, the display method comprises the following steps: in response to a first trigger instruction for a target leaf node, determining whether to update initial tree structure data according to attributes of the target leaf node and corresponding display data; the initial tree structure data is local structure data obtained by cutting complete tree structure data; if the attribute of the target leaf node is a preset attribute and the corresponding display data is not empty, determining to update the initial tree structure data; wherein the preset attributes are attributes representing that the nodes correspondingly load the details of the data displayed by the nodes. According to the method, only part of nodes are loaded in the initial stage, and the non-leaf nodes are expanded as required subsequently, so that the front-end rendering pressure is effectively reduced, the system performance and the interaction fluency are improved, and efficient, controllable and extensible visual display of the complex tree data is realized.

The invention relates to the technical field of atmospheric mode and numerical simulation, in particular to a tree canopy drag wind speed attenuation parameterization method based on a turbulence physical model, which comprises the following steps: calculating a three-dimensional equivalent leaf area index by acquiring street geometric parameters and tree structure data, and decomposing the three-dimensional equivalent leaf area index into leaf area density changing along with height; further converting into equivalent windward area density, substituting the equivalent windward area density into a momentum equation, defining a canopy drag source item and calculating a canopy turbulence production item; and finally, coupling a canopy turbulence production item with a turbulence equation, and carrying out numerical solution by combining the speed and shear stress conditions of the ground, the crown edge and the roof to obtain a street height stratification wind speed profile. According to the three-dimensional parameterization method, the wind speed attenuation simulation capability of the tree streets is remarkably improved, the wind speed profile is more continuous and reasonable and highly coincides with the CFD simulation result, and the method is suitable for urban wind environment assessment and air pollution simulation.

The invention provides a cascade selector selection configuration method and device and electronic equipment, and the method comprises the steps: generating a three-dimensional array based on original tree structure data corresponding to a cascade selector, the cascade selector supporting a single-selection mode and a multi-selection mode, and supporting a specified level as the single-selection mode in the multi-selection mode; according to the three-dimensional array and the mode of the cascade selector, displaying a plurality of options of the cascade selector and the initial state of each option on a user interface; in response to the fact that the first option is selected, searching a first array element corresponding to the first option in the three-dimensional array; setting select values of the first array element and the second array element associated with the first array element, and updating the state of the corresponding option of the cascade selector based on the set select value. The cascade selector can be controlled to support the single-choice mode or the multi-choice mode of each level, user behaviors are limited, the user does not need to manually and spontaneously operate according to service logic, and user experience is improved.

This application provides a data processing method, apparatus, electronic device, and storage medium. The method includes: firstly, reading the table data of each sub-table in a spreadsheet; then, traversing the table data of each group of adjacent columns to determine the structural relationship between multiple groups of adjacent columns; and finally, generating tree structure data corresponding to at least one vertically merged cell based on the table data and the structural relationship between multiple groups of adjacent columns. This application can efficiently restore the tree structure corresponding to vertically merged cells in a spreadsheet.

The application discloses a method and system for dynamically loading function pages based on configuration files, and the method comprises the following steps: constructing an organization folder hierarchical structure according to a power plant organization tree structure; establishing configuration file information in the organization folder, wherein the configuration file information is related parameters of the organization, a type of process diagram to be displayed and process diagram information; combining the organization folder and the configuration file information into tree structure data, and providing a real-time data process diagram page in the form of an interface; displaying the tree structure on one side of the page, and displaying a process diagram of a corresponding type according to node configuration selected by a user on the other side of the page. The method realizes online monitoring and display of different types of real-time data of a power generation enterprise monitoring system.

The present invention discloses a general tree structure data search method and system based on map. The method comprises the following steps: obtaining and obtaining a unique index value according to the relationship between each node and the ancestor node in the tree structure data, and post-processing to obtain flattened data; deduplicating attributes to obtain a searchable attribute set, and obtaining m actual search attributes therein to obtain an actual search attribute set; obtaining search content and associating it with the actual search attribute set to obtain an object to be searched, and serializing and saving it as SearchJSON; using it as a query condition to index and match the query in the indexDB object warehouse to obtain a query result, and saving it as a search result object output; if the query result is empty, formatting the actual search attribute set and the flattened data to obtain a formatted search object, and performing fuzzy matching processing on the formatted search object and the search content to obtain a unique index value set; tracing the unique index value to obtain tree structure data, and saving it as a search result object.

The invention relates to a query processing method and device, computer equipment, a storage medium and a computer program product. The method comprises the following steps: obtaining query content; performing task splitting based on the query content to obtain task tree structure data; wherein the task tree structure data is used for generating an initial task tree for the query content; task nodes in the initial task tree are used for representing tasks obtained through task splitting; under the condition that the task tree structure data is changed, incremental update data corresponding to the changed data is generated; the incremental updating data is used for performing incremental updating on the current task tree; and for the updated task tree obtained by incremental updating, obtaining a query result of the query content by merging execution results of the tasks in the updated task tree. By adopting the method, the system response performance can be improved.

The present application relates to the technical field of atmospheric model and numerical simulation, and particularly relates to a tree crown drag wind speed attenuation parameterization method based on a turbulent flow physical model, which obtains street geometric parameters and tree structure data, calculates a three-dimensional equivalent leaf area index, and decomposes the three-dimensional equivalent leaf area index into a leaf area density varying with height; after being further converted into an equivalent windward area density, the equivalent windward area density is substituted into a momentum equation, a crown layer drag source term is defined and a crown layer turbulent production term is calculated; finally, the crown layer turbulent production term is coupled with a turbulent flow equation, and velocity and shear stress conditions of the ground, the tree crown edge and the roof are combined to obtain a street height layered wind speed profile by numerical solution. The present application significantly improves the wind speed attenuation simulation capability of a street with trees by a three-dimensional parameterization method, makes the wind speed profile more continuous and reasonable, and is highly consistent with a CFD simulation result, and is suitable for urban wind environment evaluation and air pollution simulation.

The embodiment of the invention provides a data processing task script processing method and device, equipment and a medium, and the method comprises the steps: collecting operation information when a data processing task is executed; triggering a to-be-adjusted condition in response to the operation information, and obtaining initial script data corresponding to the data processing task; converting the initial script data into tree structure data; determining fault information based on the tree structure data, the operation information and a preset large language model; updating the initial script data based on the fault information, and determining target script data; and performing gray release based on the target script data. According to the method, the initial script data needing to be updated are determined through collection of the operation information and autonomous triggering, the initial script data are corrected and updated in combination with the large language model, and then gray release is performed, so that the script updating processing efficiency and processing reliability of the data processing task can be improved, and the performance of the data processing task is improved.

Embodiments of the present application disclose a message conversion method and device, electronic equipment and a storage medium. The method comprises: obtaining a structure document of an initial message, and parsing the structure document to obtain structured configuration data, wherein the structured configuration data comprises at least one node absolute path; for each node absolute path in the at least one node absolute path, determining a node relative path corresponding to each absolute node on the node absolute path according to the structured configuration data, and determining target configuration data according to each node relative path; constructing tree structure data based on the target configuration data, and determining a target message based on the tree structure data to convert the initial message into the target message. The technical solution of the embodiments of the present application improves the message conversion efficiency and compatibility.

The invention relates to a parallel computing framework-based tree structure data migration method, which belongs to the field of data processing, and comprises the following steps of: acquiring tree structure data to be migrated, and analyzing a source tree structure to determine a root node and each branch structure of a tree; decomposing a migration task of the whole tree into a plurality of branch subtasks by adopting a Fork-Join framework; dynamically creating a thread pool by adopting a Fork-Join framework, wherein each branch subtask is executed by a working thread; a work stealing mechanism of a Fork-Join pool is utilized to automatically balance the load of each work thread; the task result of each branch subtask is obtained in real time, the task results of all the branch subtasks are combined, and state checking is conducted on each branch subtask. According to the method, the advantages of parallel computing are fully utilized, efficient and stable migration of tree structure data is achieved, repetition can be avoided without locking when nodes are inserted, and meanwhile the problems of stack overflow and load balancing are solved.

The present disclosure provides a data processing method, device, equipment and storage medium, which can process tree structure data with a tree structure, the tree structure including at least one leaf layer, the leaf layer including at least one leaf node, the data corresponding to the leaf node being a key-value pair mapping structure including a key name and a key value of the key, by receiving a processing request for the tree structure data in the system; based on the processing request, determining a tree structure operation mode for the tree structure data; based on the tree structure operation mode, performing operation processing on the tree structure data. By representing data with a unified tree structure, data logic can be simplified, data and business logic of data can be designed separately, simple and effective data management and data calculation can be achieved, and for developers, it is beneficial for developers to quickly build calculation logic through the tree structure, which helps to reduce workload and reduce complexity of calculation logic.

This application discloses a corpus processing method, apparatus, storage medium, and program product, relating to the field of artificial intelligence technology. The method includes: identifying a file to be identified to obtain identification results, and performing clustering processing on the identification results to determine an aggregation result; constructing a full node graph based on the aggregation result, and determining a tree structure graph corresponding to the aggregation result according to the semantic relationships between nodes in the full node graph; classifying and identifying nodes in the tree structure graph, determining tree structure data, and constructing question-answer pairs to represent the semantic relationships corresponding to the file to be identified. The solution of this application solves the problems of neglecting tree graph parsing, difficulty in identifying text structure associations in OCR, insufficient feature utilization, and low extraction accuracy in existing corpus processing solutions.

This invention belongs to the interdisciplinary field of natural language processing and building engineering informatics, and particularly relates to a multimodal comparison method for engineering construction standards based on multi-level semantics and index quantification, comprising: S1, acquiring the engineering construction standard documents to be compared, and parsing them to obtain corresponding topological tree structure data; S2, obtaining the basic semantic similarity S based on the topological tree structure data of S1. base S3. Parse the structured key-value pairs in S1 to separate the indicator names, corresponding values, and dimensions, forming a set of key technical indicators; calculate the common indicator deviation D. shared and the one-sided indicator missing rate P miss S4, S based on S2 base S3's P miss With D shared The overall consistency score S is calculated using a nonlinear comprehensive evaluation model. final S5, the overall consistency score based on S4 final This invention generates a structured comparison report. It enables precise, cross-language, cross-system, multi-dimensional, and fully automated comparison and quantitative evaluation of engineering construction standards.

Embodiments of the invention provide a data processing method and device, a readable storage medium and a program product. The method comprises the steps of obtaining tree structure data; constructing a memory data structure of a node graph based on a father-child node association relationship in the tree structure data and the data of each node; wherein the memory data structure comprises a node array, a key-identifier mapping table and a child node mapping table, and the node array represents an association relationship between a node identity identifier and node data; the key-identifier mapping table represents an association relationship between a key of the node and an identity identifier of the node; the child node mapping table represents an association relationship between an identifier of a father node and a child node list corresponding to the father node, and the child node list comprises an identity identifier of at least one direct child node; and storing the memory data structure of the node graph. Query efficiency can be improved, and node updating complexity can be reduced.

The application discloses a kind of based on network data snapshot visual tree layout method, belong to data visualization technical field, including the following steps: obtaining the tree structure data of network data default snapshot;According to tree structure data, the total row number, total column number, the row number and length of non-leaf node, the position of leaf node of visual tree are calculated;According to the tree structure data obtained in S1 and the data calculated in S2, the position of non-leaf node of visual tree is calculated;According to the position data of leaf node in S2 and the position data of non-leaf node in S3, tree type visual view is drawn, the tree structure data of network data default snapshot is traversed in the application, and the length, row number and column number of leaf node and non-leaf node are calculated, the position of leaf node and non-leaf node is obtained, and compact, symmetrical, non-overlapping visual tree can be generated layout, can be more intuitive and in-depth to understand data, quickly discover and mine effective information, greatly improve work efficiency.

The invention relates to a software testing method and device, computer equipment and a readable storage medium. The method comprises the steps of generating a directed acyclic graph of a tested service in response to a view construction operation, and establishing a test model for processing a data logic test task according to the directed acyclic graph; converting according to the test model to obtain tree structure data, traversing paths in the tree structure data, and generating a plurality of test cases of the tested service; analyzing a data expression of each path in the tree structure data through a rule engine, and generating test data corresponding to each test case; the data expression is used for representing a test data generation rule of the corresponding path; and according to preset data source configuration information, pushing each test case and the test data thereof to a tested data source for test processing to obtain a test result corresponding to the tested service. By adopting the method, the full-link automation of the test process can be realized, the test case and the test data thereof are fully covered, and the test efficiency is effectively improved.

The present application discloses a data updating method, apparatus, device, and storage medium, which relate to the field of computer technology, including: collecting current user data and capturing entity identifiers in the current user data; comparing the entity identifier with a pre-saved standard entity identifier corresponding to a target data structure model of the current user data, and obtaining a comparison result; and selecting whether to update the current user data based on the comparison result. Thus, by comparing the entity identifier with a pre-saved standard entity identifier to obtain a corresponding comparison result, and then selecting whether to update the data based on the comparison result, it is possible to update in real time according to the collected data, while avoiding the need to obtain all data layer by layer from the nodes of the tree structure data, compare all data, and the low efficiency problem of selecting whether to update, thereby improving the core competitiveness of users' massive data updates.

This invention discloses a key-value pair storage method for front-end tree structure data, specifically implemented according to the following steps: Step 1, constructing a dual-index key-value pair storage structure; Step 2, obtaining the original nested tree data from the front end, converting the original nested tree data into a dual-index key-value pair storage structure, and initializing it; Step 3, performing node operations on the dual-index key-value pair storage structure initialized in Step 2, realizing node search, addition, and deletion operations; Step 4, restoring the tree structure based on the dual-index key-value pair storage structure. This invention also discloses a key-value pair storage device for front-end tree structure data, solving the problems of low data storage efficiency, high memory consumption, and cumbersome root node location in existing technologies.

The application relates to a data migration method and device, computer equipment, a storage medium and a computer program product. The method comprises the following steps: writing data in a first variable table into a second variable table; the data in the first variable table and the data in the second variable table are respectively tree structure data; modifying the parent-child relationship identifier in the second variable table according to the self-increment identifier in the second variable table to obtain a modified second variable table; inserting the modified second variable table into a target data table and performing self-increment processing on the self-increment identifier in the inserted second variable table according to a preset self-increment strategy to obtain a processed variable table; repairing the parent-child relationship identifier in the processed variable table according to the processed self-increment identifier to obtain a repaired target data table; and storing the repaired target data table. The method can realize fast migration of data without changing the structure of the target data table.