6 results about "Complex data type" patented technology

The invention discloses an emotion analysis method and device, a storage medium and electronic equipment, and relates to the technical field of data processing, and the method comprises the steps: obtaining multi-dimensional text feature information of target financial text data; identifying a data type corresponding to the target financial text data according to the multi-dimensional text feature information; under the condition that the data type is a complex data type, performing emotion analysis on the target financial text data through a plurality of language recognition agents and a plurality of financial information agents; and performing fusion analysis on the emotion information obtained by analysis of the plurality of language recognition agents and the plurality of financial information agents, and generating target emotion information corresponding to the target financial text data. According to the method, the target emotion information corresponding to the target financial text data is generated by performing fusion analysis on the emotion information obtained by analyzing the plurality of language recognition agents and the plurality of financial information agents, so that targeted processing of different types of data can be realized, and the accuracy of emotion analysis is improved.

The invention discloses a configuration-driven dynamic form data retrieval and display system and method, and relates to the technical field of data management, the configuration-driven dynamic form data retrieval and display system comprises a front-end configuration layer used for providing operation interfaces for a business administrator and a business user and comprising a field configuration interface and a data query and export interface, and an API interface layer used for providing a data query and export interface for the business administrator and the business user. The field configuration module is used for providing a field configuration management interface and a data query and export interface and comprises a field configuration controller and a data query controller. Data are synchronized to a search engine from a relational database, the complex query and full-text retrieval performance is greatly improved by utilizing an inverted index mechanism, the system realizes zero code configuration capability, query and display logic are driven through a field configuration table, business adjustment can take effect without code modification, and the system is simple in structure and convenient to operate. The powerful complex data type processing capability can intelligently analyze nested structures such as self-increasing lines and dictionaries and convert the nested structures into user-readable formats.

The data processing technical scheme provided by the embodiment of the invention is applied to a memory manager, the memory manager comprises a memory container with a plurality of storage blocks, the storage blocks are used for storing data items, one data item is composed of a hash value of one piece of data and coded data, and the coded data is obtained by coding the piece of data. Therefore, when the target data needs to be stored, the hash value of the target data and the coded data form a data item to be written into a corresponding storage block in the memory container, and by adopting the data storage scheme, compression and storage of any complex data type and structure into the memory can be supported; and storage does not involve an object head, so that the garbage recycling cost can be reduced.

This invention discloses a method and apparatus for a virtual machine to read data from an external system and write data, relating to the field of computer technology. One specific implementation of the method includes: creating an address buffer within a smart contract running on the virtual machine; using the storage address of external data as an input parameter of the smart contract; reading external data from the storage address of the external data into the address buffer; wherein the storage address is of integer type; enabling the transfer of complex external data types to the smart contract executed by the Webassembly virtual machine. Another specific implementation includes: using the data address of the address buffer as an output parameter of the smart contract running on the virtual machine; passing the data address to an external system; wherein the output parameter is of integer type; after the external system creates an external buffer, copying the data from the data address to the external buffer; enabling the transfer of complex data types from the Webassembly virtual machine smart contract to the external system.

The invention relates to an API (Application Program Interface) document generation method and system based on Java bytecode static analysis, which thoroughly get rid of the dependence on the environment when an application program runs by directly reading a JAR / WAR packet and carrying out static analysis on a bytecode file. This means that the API document can be generated immediately after the code is compiled and packaged, the efficiency and flexibility of document generation are greatly improved, and the API document can be more easily integrated into a DevOps process. All complex data types in the input parameter and the output parameter of the method can be recursively analyzed by utilizing the method signature, the field information and the generic information obtained by the byte code level. Through accurate analysis of method signatures and mapping of class generic parameters, even a deep nested generic structure can be accurately identified and analyzed to class definitions in a dependency library. And based on analysis of the annotations in the byte codes, the flexibility is high, and the expansibility is high.

The invention discloses a WebAssessment type inference method and device based on an enhanced semantic map, and a storage medium. Firstly, deep memory access semantics are extracted from WebAssembly binary codes, then an enhanced semantic graph containing access mode clustering, dependency chain analysis and type propagation paths is constructed, finally, the semantic graph is converted into high-precision type definition and data structure layout, and accurate inference of a complex data structure is achieved. Specifically, deep semantic association can be found from a seemingly irrelevant memory access sequence, and a logic structure of an original program is reconstructed. According to the method, through the construction of the enhanced semantic map, a complete definition including a nested structure, a complex, an array and other complex data types can be accurately identified and reconstructed, and the reverse analysis precision of WebAssembly codes is remarkably improved.