10 results about "Nested data" patented technology

Techniques for transforming code modules to different programming languages are disclosed. A system accesses a first non-code representation of a first code module expressed in a first programming language and parses the first non-code representation to identify a nested data element of the first non-code representation that represents a nested expression of the first code module. The system executes a transformation technique to transform the nested data element, in the first non-code representation, to a first non-nested data element in the first non-code representation. The system modifies the first non-code representation based on one or more attributes of a second programming language to generate a second non-code representation suitable for representing code modules in the second programming language. The system generates a second code module based at least on the second non-code representation.

The present disclosure relates to methods, apparatuses, and readable storage media that implement serialization and deserialization of nested data, where a system-on-a-chip of the present disclosure is included in an integrated circuit apparatus that includes a general purpose interconnect interface and other processing apparatuses. A computing apparatus interacts with the other processing apparatuses to collectively complete a user-specified computing operation. The integrated circuit apparatus can also include a storage apparatus connected to the computing apparatus and the other processing apparatuses, respectively, for data storage of the computing apparatus and the other processing apparatuses.

This invention discloses a spatial downscaling method for weather forecast models based on a terrain classification super-resolution model. The method first obtains nested data at each layer through dynamic downscaling of the weather forecast model, then trains a super-resolution model using data at different resolutions of the target area. Following the above process, super-resolution models are established for different terrains, and a terrain classification model is trained using terrain data. The super-resolution model and the terrain classification model are combined to obtain a fused prediction result. This fused model is the SRBTC model, which considers spatial correlation. The model outputs the similarity probability between the area to be predicted and various different terrains. The prediction results are weighted and summed to obtain the fused prediction result of the super-resolution model. During model training, a specified value scaling method is proposed to consider the differences between high- and low-resolution meteorological simulation data. When applying the model, a splitting and merging method is proposed to consider the differences between multi-scale simulation data, and the applicability of the model is specified.

The invention provides an interaction method and device supporting infinite nesting data structure visualization, and relates to the technical field of data structure visualization and man-machine interaction collaborative modeling. The method comprises the steps that recursive rendering of type perception is executed in response to a data structure loading event, and a nested graph with a clear hierarchical topology is generated; providing a double-input mode of an expression mode and a fixed value mode for basic type nodes, and realizing accurate binding of array variables through a special binding button, an intelligent array selector and a node type label identification and single-selection constraint mechanism under the expression mode; and starting a double-layer recursive verification process driven by a root node during submitting, and performing upward aggregation propagation and visual feedback on a verification result along a parent path. According to the method, the rendering performance and interactive user experience of the deep nested data structure are improved, real-time infinite recursion operation is supported, and the problems that topology is not visual, binding is prone to errors, verification is low in efficiency and the like in complex data structure visualization of a traditional tool are effectively solved.

The invention discloses a data flattening processing method, a dynamic data verification method, equipment and a medium. The method comprises the following steps: performing recursive traversal on multi-layer nested JSON (JavaScript Object Notation) data; when the object type is traversed, splicing the parent path and the current key name to form a new path; when the array type is traversed, expansion is carried out by an index or an identifier; when a basic type is traversed, taking a complete path as a key and taking a value as corresponding content, and storing into a result set; in the data recursive traversal process, the context hierarchical relation of data is reserved, and single-layer key value pair mapping is generated. JSON data of a multi-level nested structure is expanded into a path type key value pair structure in a recursive mode, flattening processing of the data is achieved, efficient processing of complex nested data is achieved through the flattening processing method, the context relation of the data is reserved, meanwhile, the positioning and data verification logic of complex fields is greatly simplified, and the data verification efficiency is improved. The problems that the data verification logic rule is complex and the execution efficiency is low are well solved.

The invention provides a full-automatic nesting method, system, medium and equipment, and belongs to the technical field of panel production process control. The method comprises the steps that a nesting task issued by a central control system is received; downloading a GEN file from an FTP server according to the nesting task, and generating nesting information according to the GEN file; and the nesting information is uploaded to the FTP server and sent to the central control system. The method can support real-time receiving of task information and transmission of trepanning data, supports various parts and multiple plates, and performs full-automatic overall trepanning, so that the cost is saved, the downtime is shortened, the safety is high, and the method is suitable for various advanced numerical control equipment.

The invention relates to the technical field of database system integration, and provides a contract data multi-system bidirectional synchronization and field mapping method and device.The contract data multi-system bidirectional synchronization and field mapping method comprises the steps that fields of different systems are named and standardized by building and loading a static field mapping table, and contract main table data in a source system and extended data model information of the contract main table data are obtained according to query conditions; performing field name conversion and value formatting on the acquired data according to a static field mapping table, and performing recursive processing and change tracking on a contract signing party sub-table and a money return plan sub-table associated with a contract; identifying field-level and sub-table-level change information by comparing historical versions of the contract data, and generating a structured change record; and assembling and synchronizing the converted main table data, the processed sub-table data and the change record according to a data structure of the target system. According to the method, the integrated development and long-term maintenance cost of the system can be remarkably reduced, and accurate synchronization of a complex nested data structure is completely supported.

A system and method for compiling and processing nested datasets within a state-based data model representing system entities. Each system entity is represented by a row in a two-dimensional state dataset, and related entities are identified across one or more state datasets. For a given system entity, a set of nested datasets is compiled using attribute values from its related entities. These nested datasets may include a nested process dataset comprising sequential or conditional instructions, nested query definitions for dynamic data retrieval, and nested view definitions for layout or visualization. The compiled entity structure can be processed locally or distributed to remote processors as part of one or more messages. The invention enables flexible, rules-driven orchestration of services and workflows and supports autonomous or semi-autonomous execution frameworks in AI, digital twin, or business process automation contexts.

This invention provides a method and apparatus for secure isolation of design data supporting regional collaborative development, relating to the technical field of data processing. The method includes: acquiring design data from different plants and institutes and binding them with data security region identifiers; constructing a multi-layered nested data security region structure and generating a set of cross-regional collaborative constraint rules; performing structural pruning, parameter mapping, and semantic dimensionality reduction on the design object data during cross-regional calls to form a restricted data expression set; constructing a cross-regional controlled data view based on the restricted data expression set and combining it with stage status identifiers to achieve dynamic control of the shared scope; simultaneously forming a data flow record set through call path resolution and binding with responsible entities; and performing abnormal access detection and adaptive policy adjustment based on the data flow record set and constraint rule set to update access boundaries and restricted data expression rules, and outputting collaborative design results. This invention can improve collaborative R&D efficiency while ensuring data security.