4 results about "Cycle detection" patented technology

The application provides a method and device for detecting a dead loop, which can solve the problem of incorrect identification of a dead loop, thereby improving the detection accuracy of the dead loop, and can be applied to a terminal device or a network device. The method comprises the following steps: determining an intermediate representation of an application program, the intermediate representation being determined according to source code and / or an installation package of the application program, the intermediate representation comprising a linear intermediate representation and a graph intermediate representation; obtaining a loop body according to the intermediate representation; and determining that the loop body has a risk of causing a dead loop.

The invention belongs to the technical field of large models, and particularly relates to an SQL (Structured Query Language) conversion method, system and equipment based on a large model and a storage medium. The technical problem that in the prior art, errors in SQL query statements are difficult to effectively verify and repair, and consequently the SQL conversion and generation accuracy of related technologies is low is solved. Comprising the following steps: analyzing a natural language of a user, identifying and mapping SQL skeleton components to a predefined Python action function, and generating an initial action sequence; and then, the sequence is verified through a detection tool, if an error is found, error information is fed back to the large model to correct the sequence, detection is cyclically carried out until the sequence passes or reaches the maximum number of iterations, and a final action sequence is output. And if no error exists, directly outputting. And finally, switching the final sequence to an SQL splicing mode, executing each action function to obtain SQL clause fragments, and performing character string splicing to generate a complete SQL query statement.

A method, system, and computer program product for reducing memory consumption in a depth-first search (DFS)-based cycle detection process for detecting n-length cycles on a Pregel model is provided. The method includes generating a graph comprising a plurality of vertices and edges connecting the plurality of vertices, starting a cycle from a first vertex in the plurality of vertices, setting an ID of the first vertex to a path and the first vertex as a target vertex, and iterating the following n-1 times: sending the path to an outgoing edge from the first vertex, and transmitting the path n-1 times by a subsequently received vertex via the outgoing edge, finding a vertex before returning to the target vertex, adding an ID of the found vertex to the path, and setting the found vertex as the target vertex, such that n = n-1, where n is a number of iterations.

The invention provides a mechanical arm dynamic time domain target tracking method based on a diffusion model, relates to the technical field of mechanical arms, and solves the problems of insufficient rapid adaptability and real-time responsiveness of a diffusion model in a dynamic environment through cyclic detection feedback and real-time planning by adopting a dynamic time domain and diffusion model combination strategy. Meanwhile, when the two are combined, a diffusion model cannot predict and plan an action sequence range, and forced target tracking leads to multi-modal weakening and mode collapse, a target tracking judger is designed, target tracking is introduced in a proper state, the diversity of solutions and the accuracy of target tracking are balanced, and the target tracking accuracy is improved. Therefore, real-time dynamic environment perception and expected action generation of the mechanical arm are achieved, and the task execution precision is improved.