10 results about "Entry point" patented technology

This application provides a comment processing method, apparatus, device, medium, and program product. The method includes: displaying a comment interface for a work, where the comment interface displays N comment data entries, where N is an integer greater than 1; displaying a first sorting entry point in the comment interface, the first sorting entry point being used to trigger: sorting the N comment data entries according to the interactivity between the comment object and the publishing object of the work; and displaying a comment sorting result in response to the triggering operation of the first sorting entry point, the comment sorting result including: the sorted N comment data entries obtained by sorting the N comment data entries according to the interactivity between the comment object and the publishing object of the work. This application supports sorting comments according to the interactivity between the author and the comment object, which can improve the convenience of comment sorting, as well as the author's operating experience and response efficiency.

This invention discloses a unified data interaction and standardized interface method for industrial software, relating to the fields of industrial software system integration, cross-language and cross-platform data interaction, and automated invocation of intelligent systems. The core of this invention is a design of "single-business-specific table type + unified interaction rules." It customizes a dedicated Table Value Parameter (TVP) table type for each business segment, adds a core field for operation type as the basis for business action judgment, encapsulates all add, subtract, delete, modify, and query operation logic for a single business into a unique dedicated stored procedure, and exposes a unified standardized interface, thus constructing a universal data interaction paradigm of "dedicated table type, unified rules, and single interface entry point." This invention completely eliminates the technical barriers to interoperability across systems and development languages. It seamlessly adapts to all development languages / systems, including Java, C#, .NET MAUI, Web development, and ARKTS. Different business logics pass parameters using dedicated table types and call according to unified rules, reducing cross-system connectivity and development difficulty to a minimum. Simultaneously, it achieves vulnerability closure through full front-end verification, perfectly adapting to AI automated call requirements. This significantly reduces the costs of multi-system integration, development, and maintenance of industrial software. It can be widely applied in various manufacturing industries such as metallurgy, machinery, chemicals, automobiles, and electronics, as well as in all fields with system data interaction needs, including smart IoT, enterprise digital management, and e-government. It is a set of industrial software data interaction standards that is practical, universal, and intelligent. This invention has been fully implemented in actual industrial ERP and MES systems, and can run stably in real production environments for a long time, demonstrating mature engineering value and industrial promotion capabilities.

Systems and methods include an interactive environment to develop different workflows in accordance with various entry points, actions, decisions, questions, answers, and / or the like in order to guide one or more users through a decision making process, which may be based on certain thresholds to assess one or more risks or other outcomes. A corpus of information may be used to direct a workflow through a series of questions, decision points, and then subsequent questions and / or workflows based, at least in part, on analysis of various thresholds or conditions, which may be defined by the workflow and / or within the corpus. In this manner, users may generate individual workflows for a given assessment and then apply the workflow to a variety of different end users.

This invention belongs to the field of computer software and large language model inference service technology, and discloses an LLM offline-online hybrid load scheduling optimization method. This invention uses an LLM offline-online hybrid load scheduling optimization system, which includes a request classifier, a GPU execution engine, a Hybrid execution engine, and a task migration and resource control module. The request classifier is located at the system entry point. The GPU execution engine and the Hybrid execution engine provide execution and isolation environments for online and offline request tasks. The task migration and resource control module is responsible for request task scheduling and control. This invention transcends the limitations of existing homogeneous scheduling frameworks. Through systematic hardware and software co-design, it ensures that online requests strictly meet latency SLOs while providing a high-throughput, stable execution environment for offline tasks, achieving joint optimization of resource utilization and service quality.

The application relates to an eBPF-based kernel soft lock monitoring and dynamic optimization method and electronic equipment, and belongs to the technical field of operating systems, and solves the problem that in the prior art, a system is prone to permanent CPU freezing when encountering a spin exception and it is difficult to locate the fault cause. The method comprises the following steps: implanting a soft lock information collection function in an operating system kernel, and mounting an eBPF program constructed based on an eBPF mechanism to an entry point of the soft lock information collection function to form a monitoring hook; when a soft lock event occurs in the kernel, the soft lock information collection function is called to trigger the monitoring hook to execute the eBPF program; the eBPF program collects on-site information of the soft lock event, and transmits the on-site information to a user state through an eBPF mapping; and a user state program receives and analyzes the on-site information, and dynamically adjusts a kernel scheduling mode according to an analysis result. Soft lock monitoring and dynamic adjustment are realized.

The application relates to the technical field of artificial intelligence, and particularly discloses an automatic software development system based on artificial intelligence, which collects program counter jump information and call stack snapshots in historical debugging session records, identifies cross-semantic boundary jump positions in a program execution process, extracts an execution entry slice in combination with a source code structure, further fuses semantic migration information and code structure information to generate a natural language annotation text, converts the natural language annotation text into an annotation sentence line according to an annotation syntax of a target programming language, and inserts the annotation sentence line above a semantic entry point, and determines whether to write back the source code through code semantic consistency verification, so that automatic annotation generation and backwriting facing a real debugging process are realized.

This invention discloses a static vulnerability detection method and system based on a unified cross-language program structure graph, comprising the following steps: constructing a unified cross-language program structure graph based on the source code to be detected and its compilation metadata, and establishing interface semantic mapping relationships on the edges of cross-language interfaces; extracting cross-language paths from the program entry point to sensitive operation points on the unified cross-language program structure graph, marking elements with uncertainties in the cross-language paths and calculating path confidence; semantically aligning heterogeneous language states on the cross-language paths based on cross-language abstract domains, and converting path conditions and vulnerability establishment conditions into logical constraints; determining the satisfiability of the logical constraints, outputting vulnerability detection results based on the determination results, and generating a structured evidence chain. This invention can output a cross-language evidence chain, clearly displaying the witness information of the vulnerability path and triggering conditions, as well as the details of cross-language conversion, effectively supporting manual review, vulnerability remediation, and other work.

A method, computerized apparatus and computer program product, the method comprising: obtaining a collection of entities including a source code file and a non-source-code file; identifying a bundle within the collection of entities; generating a call and dependency graph of the collection of entities, the graph comprising two or more nodes each associated with an entity, and at least one edge indicating a calling relationship between the nodes, said generating comprising: generating an initial call and dependency graph, indicating reachability of each of the collection of entities starting from an entry point; and pruning the initial call and dependency graph by reducing an edge according to collected heuristics, to obtain a pruned call and dependency graph; obtaining information about vulnerabilities associated with the bundle or any of the collection of entities; and providing an indication of a reachable vulnerability and an unreachable vulnerability in the pruned call and dependency graph.

An encoding scheme is provided for arithmetically encoding a sequence of information values into an arithmetic coded bitstream by providing the bitstream with entry point information, allowing for resuming arithmetic decoding of the bitstream from a predetermined entry point onward. A respective decoding scheme is also provided. These encoding and decoding schemes provide more efficient encoding in view of the decoding speed.

Embodiments of the present application provide an influence link generation method, device and storage medium, comprising: in response to a link generation request of test code, obtaining a development branch submission record corresponding to the test code. According to the development branch submission record, a changed function in the test code is determined, and an API interface function corresponding to the changed function is determined, the API interface function being called by other function modules except the function module where the changed function is located. A target function module having a dependency relationship with the API interface function and an entry point function corresponding to the target function module are determined. According to the changed function, the API interface function and the entry point function, an influence link corresponding to the test code is generated. By identifying the API interface function exposed by the changed function, the target function module having the dependency relationship is found, so as to know all external calling points possibly affected by the change, and then the cross-cluster calling condition of the changed function is known, and the influence link can be generated more accurately.