Certain aspects of the present disclosure relate to methods and systems for evaluating a first command line interface (CLI) input of a process. The method comprises examining the first CLI input and selecting a first clustering model corresponding to the process, wherein the first clustering model is created based on a first clustering configuration and a first feature type combination. The method further comprises creating a first feature combination for the first CLI input based on the first feature type combination, evaluating the first CLI input using the first clustering model and the first feature combination, wherein the evaluating further comprises determining a similarity score corresponding to a similarity between the first feature combination and the one or more clusters, and determining whether or not the first CLI input corresponds to normal behavior based on the similarity score.

An embodiment of the present invention is directed to an innovative approach to installing, upgrading and downgrading the package irrespective of the kernel version during system boot time after an operating system (OS) patching kernel update.

Methods and systems are provided for a browser in a client device that receives a user interface script-code snippet from a web page. A chain logic engine determines whether an in-memory map indicates an output value of prior execution of the UI script-code snippet. If the in-memory map does indicate the output value, it is returned from the in-memory map to generate the user interface. If not, the engine determines whether an in-local storage map indicates the prior executed snippet output. If the in-local storage map indicates the prior executed snippet output, it is returned from the in-local storage map to generate the user interface, and it is stored in the in-memory map. If not, the UI script-code snippet is executed to generate the output value, which is used to generate the user interface, and is stored in the in-memory map and in the in-local storage map.

The present disclosure describes systems and methods for a command line interface with artificial intelligence integration. Embodiments of the disclosure provide a command line orchestration component (e.g., including a reinforcement learning model) that provides a generic command line interface environment (e.g., that researchers can interface using a simple sense-act application programming interface (API)). For instance, a command line orchestration component receives commands (e.g., text input) from a user via a command line interface, and the command line orchestration component can identify command line plugins and candidate response from the command line plugins. Further, the command line orchestration component may select a response from the candidate responses based on user preferences, user characteristics, etc., thus providing a generic command line interface environment for various users (e.g., including artificial intelligence developers and researchers).

Aspects of the disclosure provide for mechanisms for managing containers across operating systems in a computer system. A method of the disclosure includes: causing a first container management agent in a first container to run a user interface in the first container, receiving a user request to create a copy of the first container, creating a second container in view of the first container, receiving, from the user interface running in the first container, a first command to switch from the first container to the second container, and responsive to receiving the first command to switch from the first container to the second container: configuring the second container in view of one or more configurations of the first container, causing a second container management agent in the second container to run the user interface in the second container, and causing execution of the first container to stop.

This disclosure discloses a method for rolling restart based on EsgynDB Database, comprising the following steps: S1: the ZooKeeper in the system is used as the coordinator to update the MXOSRVR state required to be restarted in the instruction according to the framework of EsgynDB Database; S2: when MXOSRVR discovers that its state has been updated to “to be restarted”, it will add a piece of string information to the next information returned to Driver to inform the client that MXOSRVR is in the state of “to be restarted”; S3: when Driver knows that MXOSRVR requires to be restarted through parsing the newly added information by string, the client will reconnect according to the security point state of the whole business state.

A method, device and terminal for implementing regional screen capture are described. The method includes: capturing a full content of a current screen interface according to a screen capture instruction and generating a picture; parsing layout information of the current screen interface, and mark various controls in the generated picture by using the acquired layout information; determining a capture region according to a control selected based on a mark, and capturing the content displayed on one or more determined capture regions; when the capture is required, capturing the full content of the current screen interface and generating picture data; parsing the layout information of the current screen interface, and marking various controls on the generated picture according to the acquired layout information; and determining the capture region according to the selected controls.

Systems, methods, and other embodiments associated with enabling client-side enforcement of custom rules when the client is in offline mode include storing a custom rule script that describes a custom rule in a mobile application client. Then, while the mobile application client is in an offline mode, accept a user input through the mobile application client to create or modify an object, determine that the custom rule script is associated with a triggering event that occurred due to the input to create or modify the object, and immediately enforce the custom rule script to validate the user input upon occurrence of the triggering event. The custom rule script is enforced prior to creating or modifying the object. Upon placement of the mobile application client into the online mode, synchronize the object as created or modified by the validated user input to a mobile application server.

The specification relates to an intelligent resource management system. The system is capable of receiving a job script file requesting to run analyses for a data file on a multi-CPU system using a multi-threaded application. The system then builds an application knowledge structure and an intelligent resource mapping table based on the application knowledge structure with the intelligent resource mapping table requesting a number of CPUs needed for the analysis. The data file can be partitioned into a number of data segments equaling to the number of CPUs needed for the analysis and a number of application instances equal to the number of CPUs needed for the analysis can be created. The multi-threaded applications are executed on a plurality of CPUs for each bio-informatics data segment and resultants are obtained for each execution. These resultants are combined in the same order of data partitioning to obtain analysis.

This application discloses a data interaction method, for implementing data interaction between a web page module and a functional module of an application. The web page module includes at least one interaction API. The method includes: receiving an interaction request from a target interaction API in the web page module, where the interaction request includes an identifier of a target functional module with which the web page module requests to interact; determining, according to a preset corresponding relationship between interaction APIs and parsing modules, a target parsing module corresponding to the target interaction API; and sending the identifier of the target functional module to the target parsing module, for the target parsing module to call the target functional module to implement a corresponding function.