150 results about "Interpreter" patented technology

The invention relates to the technical field of computer data processing and mode recognition, and discloses an intelligent handwriting record analysis system supporting translation process traceability and capability assessment, which comprises the following steps: collecting multi-dimensional handwriting data generated when a user translates by using an intelligent pen; the Hidden Markov model decodes the handwriting into translation behavior primitive sequences such as smooth writing, hesitant pause and the like; automatically dividing semantic regions such as a main translation region and a draft region by a density clustering algorithm; performing space-time fusion attribution to generate a space-time attribution log for accurately recording behaviors, time and positions; and establishing a multi-dimensional capability index system containing translation efficiency, quality and strategies based on the log, and carrying out quantitative calculation and generating a visual user capability portrait. According to the method, the invisible translation cognition process is converted into traceable and quantifiable objective data, deep insight and comprehensive evaluation of the translation process are achieved, and a scientific and efficient analysis tool is provided for translation teaching and interpreter ability evaluation.

The invention provides a Python algorithm development debugging system and method based on a simulation platform, the system comprises a TonderPy simulation engine service, a platform interface dynamic library file TonderPy.pyd, a Python interpreter and a Python algorithm model, the TonderPy simulation engine service is used for establishing communication connection with the simulation platform, driving the Python algorithm model, and dynamically optimizing an interface calling time sequence based on a collaborative scheduling algorithm; the platform interface dynamic library file TonderPy.pyd packages an interactive interface of the simulation platform and is used for obtaining situation information of the simulation platform, transmitting the situation information to the Python algorithm model and sending a task instruction to the simulation platform; the Python interpreter is arranged in a TonderPy simulation engine service and is used for loading and executing a Python algorithm source file; the Python algorithm model generates a task instruction according to the situation information; according to the system, standardized calling of a simulation platform interface is realized, and the algorithm development complexity is reduced; the data interaction efficiency between the algorithm and the platform is improved; a real-time closed-loop verification mechanism is constructed, the debugging period is shortened, and the utilization rate of system resources is improved.

Example solutions for providing an artificial intelligence (AI) exception interpreter are disclosed. An exception interpreter receives an exception report from a software application, evaluates it (using AI), and generates a first exception handling response. This provides the benefit of learning over a large amount of exception handling data, which offers super performance over trial-and-error tactics by programmers who are either less experienced or unfamiliar with exceptions from third party resources. Some examples sanitize exception reports of sensitive information. Some examples track an exception event history, so that when the same exception is seen multiple times (meaning a prior response was not effective), a different exception handling response may be provided.

Disclosed herein are methods, systems, servers, and computer-readable media for interpreting computer code with a multimodal machine learning model. In an embodiment, this comprises: receiving, an input comprising at least one of a text prompt, file prompt, or data object, determining, using a multimodal machine learning model, that the input requires implementing computer code, and in response to determining the input requires implementing computer code: generating computer code based on the input, executing the generated computer code using a code interpreter, and providing, through an interface, an output based on the generated computer code.

The invention discloses a method for dynamically constructing a UDF based on a large model. The method comprises the following steps: S1, constructing a multi-dimensional requirement cue word of a user-defined function according to characteristics and use requirements of a target platform; s2, the multi-dimensional requirement cue words are input into a pre-trained large language model for code generation, the large language model is subjected to multi-round iteration based on the multi-dimensional requirement cue words, and an optimal code sequence for achieving the user-defined function is output; s3, code style standardization is carried out on the optimal code sequence, and a compiler or an interpreter and a static analysis tool are respectively called to carry out grammar check and static analysis on the optimal code sequence, and constructing an optimization cue word according to an error log output by the compiler or the interpreter and a static analysis result output by the static analysis tool, and inputting the optimization cue word into the large language model to carry out iterative optimization on the optimal code sequence.

The invention discloses a multi-source complex table-oriented trusted question and answer agent construction method and system, a question and answer agent is constructed based on a ReAct framework, at least a code interpreter tool and a document reading tool are used in the ReAct framework, and the multi-source complex table-oriented trusted question and answer agent construction method comprises the following steps: constructing a multi-mode complex table analysis tool; the analysis module is used for analyzing a non-editable unstructured table file into an editable structured table text; constructing a single-mode complex table cleaning tool for performing abstract modeling, identification extraction and structure reconstruction on a complex data structure of the structured table text to generate a normalized table which is simpler than an original table in structure; and constructing an illusion detection and repair tool for performing real-time illusion verification on the output content of the question and answer agent, and triggering a fallback regeneration mechanism when illusion is detected. According to the invention, through tool set expansion and multi-tool cooperation, an efficient and credible table question and answer agent is constructed.

Various techniques for providing a privacy-aware dynamic path explainer are disclosed. In some embodiments, a system, a process, and / or a computer program product for a privacy-aware dynamic path explainer includes receiving a graph of a network that includes one or more vulnerabilities and / or one or more risk findings (e.g., the graph can also include one or more systems and / or one or more misconfigurations); contextualizing the graph of the network; generating one or more prompts and inputting the contextualized graph to a Large-Language Model (LLM); and generating an output that summarizes the contextualized graph using the LLM.

The invention discloses an index system early warning method and device, equipment, a storage medium and a program product, and relates to the technical field of operation and maintaining.The method comprises the steps that a logic expression input by a user in a similar natural language form is analyzed, an abstract syntax tree is generated, recursion processing is conducted through a recursion decline interpreter, and an executable rule object is obtained; scheduling the executable rule object according to a preset priority weight to obtain a total scheduling result, the preset priority weight being a weight allocated for the priority of each early warning rule; and when the early warning rule is triggered, carrying out early warning on the abnormal indexes in the logic expression. According to the method, the logic expression is introduced to dynamically define the index, then the logic expression is analyzed into the abstract syntax tree, and dynamic compiling of the abstract syntax tree is realized by using the recursive decline interpreter, so that the flexibility of index early warning can be improved through the introduced logic expression in a complex monitoring scene, and the early warning efficiency is improved. Therefore, the efficiency of index operation and maintenance response is improved.

A stored program interpreter or virtual machine with a reduced or simple instruction set that implements a Sequencer which allows the programming of time-dependent behavior of controlled loads or circuits such as Electronic Circuit Breaker Units (ECBUs). Programs can be dynamically loaded or modified at run-time, allowing ensemble behavior of controlled loads, such as wig-wag or de-ice heat cycling, to be implemented without a change to the embedded firmware application code.

The invention discloses a real-time compiling interpreter system capable of running on an MCU (Microprogrammed Control Unit), an FPGA (Field Programmable Gate Array), a GPU (Graphics Processing Unit) or a universal CPU (Central Processing Unit), and belongs to the technical field of embedded systems and computer compiling. According to the system, hardware decoupling is achieved through a modular architecture, and C / C + +, Python and LLVM intermediate codes are supported to be converted into unified intermediate byte codes; a byte code interpreter and an instant compiling module are integrated, both quick starting and efficient execution are considered, and starting can be completed within 1 millisecond; an event driving and periodic scheduling mechanism is provided, and the real-time response requirement is met; a segmented memory model and a security policy are adopted, low-power-consumption edge equipment is adapted, and domestic instruction sets such as RISC-V and LoongArch are compatible. The system solves the problems that a traditional embedded system is poor in flexibility, difficult in cross-platform, insufficient in real-time performance and the like, can achieve unified execution of heterogeneous platform codes, is suitable for the fields of industrial control, Internet of Things edge AI and the like, and has remarkable technical progress and industrial value.

The invention relates to the technical field of vehicle-mounted Ethernet diagnostic message monitoring, in particular to an automatic monitoring method for a vehicle-mounted Ethernet diagnostic message, which comprises the following steps of: connecting a tested controller or a real vehicle through an industrial personal computer (carrying Wireshark software) and a vehicle-mounted Ethernet converter, installing a Lua environment and writing a script; protocol value mapping, interpreter registration, field definition and analysis function logic are achieved through scripts, Wreshark captures messages in real time to automatically analyze protocol levels, abnormal messages are marked, and data can be arranged through Python; according to the automatic monitoring method for the vehicle-mounted Ethernet diagnosis message, special software and hardware are not needed, full-process automation is achieved, monitoring efficiency and analysis accuracy are improved, protocol compatibility is expanded, the use threshold is reduced, cost is optimized, and the monitoring requirement of the vehicle-mounted Ethernet from research and development to after-sale is met.

The invention discloses a method for generating a Lua script dynamic departure engine through a workflow, and relates to the technical field of Internet of Vehicles and vehicle-mounted software, and the method comprises the steps: firstly constructing a basic operator through a cloud platform, responding to a user arrangement, generating a process definition file, converting the process definition file into a Lua script code, and packaging and uploading the Lua script code after digital signature; and the vehicle terminal monitors a system state, downloads an update file when a trigger condition is satisfied, and performs integrity verification and signature verification. And after the verification is passed, the calculation center module starts a Lua interpreter to run a script, and calls a local Java operator to execute service logic through a reflection mechanism. According to the method, decoupling of service logic and underlying capability is realized through cloud arrangement and an end-side sandbox execution mechanism, dynamic hot update of the vehicle machine function is completed under the condition that firmware OTA flash is not carried out, and meanwhile, the security of script operation is ensured by utilizing encryption verification and permission isolation.

1. The name of the design product: interpreter (JXT-V6). 2. The use of the design product: for wireless voice interpreter. 3. The design points of the design product: in shape. 4. The picture or photo that best indicates the design points: perspective view.

The present disclosure relates to the field of electric digital data processing, and particularly relates to a program module sharing method and device, electronic equipment and medium. The program module is written by a user for a specified program and is used for modifying the specified program. The method comprises the following steps: obtaining programming language code of the program module at a server end; compiling the programming language code into a native code library file suitable for a specified platform type by using a compiler, wherein the compiler performs corresponding optimization acceleration for the specified platform type during the compiling process; in response to a download request of any user for the native code library file, sending the native code library file to a client of the any user, and the client of the any user runs the specified program and the native code library file based on a platform of the specified platform type. The present disclosure solves the problems of low efficiency and lag caused by running an interpreter locally to execute a program module script.

1. The name of the design product: viaim chat stick. 2. The use of the design product: for small intelligent translation device, language translation. 3. The design points of the design product: in shape. 4. The picture or photo that best indicates the design points: perspective view 1.

We provide the system. [Solution] An input means for the user to input design instructions to the system in natural language, A natural language processing means that analyzes natural language instructions input through an input means, An instruction interpretation means interprets specific design requirements and placement conditions based on instructions analyzed by a natural language processing means, An image generation means that automatically generates design drawings based on the design requirements obtained by the instruction interpretation means, A means for verifying the results, which includes checking the quality of the generated design drawings and verifying their consistency with the instructions, An output means for providing the user with the final confirmed design drawings, A system that includes this.

In the field of electronic gaming devices, a programmable portable gaming machine is provided. The device includes a main control module, an input mechanism, an output mechanism, a storage mechanism, and a mounting board. The input mechanism uses a single rotary encoder and four anti-touch reset keys. The output mechanism combines an 8x8 full-color LED matrix and 36 PWM-controlled full-color lamp rings to form a multi-level interactive system, satisfying full-scene needs from precise operation to immersive feedback and suitable for home programming education. The device's main control chip calls an interpreter to execute pre-generated bytecode files through a visual programming environment, enabling a variety of functions to be realized on a single device.

Different versions of a program are executed in a first mode of operation in accordance with normal operations with only expected behavior to generate different acceptable behavior models indicative of behavior of the program. A difference between acceptable behavior models indicates different risk profiles for the different versions of the program. Risk profiles can be generated by a model explainer. An event that attempts to execute remote code or a delayed event can be detected in a second mode of operation if the event or the delayed event is not included in the acceptable behavior model. Different sequences of events in the first or second mode can be instrumented at different levels of instrumentation to generate or use the acceptable behavior model. The sequences of events can be generated from a stacktrace in the first and second modes. The instrumentation can be performed in hardware by intercepting SYSCALLs.

This invention provides an isolation architecture, a method and system for managing waveform display script objects. The isolation architecture includes: an internal object layer, comprising an internal object factory for creating internal objects corresponding to script commands; a handle mapping layer, comprising a handle allocation module and a bidirectional mapping module, wherein the handle allocation module allocates integer handles to internal objects, and the bidirectional mapping module maintains the bidirectional mapping relationship between integer handles and internal object pointers; and a script interface layer, comprising a custom command set adapted to script syntax specifications, wherein the parameters and return values ​​of each command in the custom command set conform to the basic script data types and do not contain internal object pointer information, and the script interface layer returns integer handles as return values ​​to the script. This solution, by designing a handle mapping mechanism across interpreter boundaries, achieves a clear separation between the script environment and internal object management, improving system security, performance, and maintainability.

The invention discloses a code encryption and decryption method and device, equipment and a storage medium, and belongs to the field of software development. The method comprises the following steps: calling an interpreter to read an encrypted file; under the condition that the preset position of the encrypted file comprises an encryption identifier, decrypting an encrypted source code in the encrypted file to obtain a source code; the encryption identifier is used for indicating that the source code in the encrypted file is the encrypted source code to the interpreter; and calling the interpreter to interpret and execute the source code. The method can protect source codes.

The system (100) comprises an edge computing device (ECD) having a sensor (S), and a first central server (CS), where the central server (CS) is arranged to accept a query, the result of which comprises an endless flow of data objects calculated based on data measured by said sensor (S). A central server (CS) parses the query to generate a parsed query expression; generating an execution plan corresponding to the analyzed query expression; and compiling at least a portion of the execution plan by converting the execution plan into a corresponding platform-independent assembly code. An edge computing device (ECD) receives an at least partially compiled execution plan, and it interprets a software function (ES) to run both compiled and uncompiled portions of the partially compiled execution plan to produce query results. The invention also relates to a method.

The present disclosure is directed toward systems, methods, and non-transitory computer-readable media for generating context engine outputs by utilizing an interpreter purpose-built to execute code generated by large language models. For example, the disclosed systems generate computer code executable for responding to a query by utilizing a large language model. In addition, the disclosed systems execute the model-generated computer code utilizing an interpreter integrated with the context engine that further includes swappable logic interchangeable across multiple executors. Moreover, the disclosed systems can further generate as part of executing the computer code utilizing the interpreter, a first context engine output by implementing the interpreter at a first executor. Additionally, the disclosed systems can further generate a second context engine output by implementing the interpreter at a second executor.

The invention provides an interpreted script full-path verification method and device based on executor rewriting, a medium and a program product. The method comprises the steps that an interpreted script is obtained and analyzed to generate an abstract syntax tree; configuring a verification executor as an interpretation execution main body of the abstract syntax tree, and pointing an interpretation execution process of the abstract syntax tree to the verification executor to perform traversal interpretation execution; adopting an overlay execution rule in the traversal type interpretation execution process so as to enable a plurality of execution paths corresponding to the grammar nodes to be executed, and continuing to verify the other execution paths when an exception occurs; meanwhile, in the traversal type interpretation execution process, called script access objects are synchronously recognized, white list verification processing is carried out, and safety verification of the accessible object range of the script is achieved while full-path execution verification is completed. According to the method, the execution logic and the access permission of the interpreted script are cooperatively verified, so that the integrity, the safety and the reliability of script verification are improved.

Systems, methods, and devices for integrating a software component into a software framework and for orchestrating and integrating data are disclosed. In one implementation, the disclosed system may receive a software component with a sequence of instructions. Consistent with disclosed embodiments, the system may determine whether the sequence of instructions is native to a predetermined operating system. Further, the system may add the sequence of instructions to a framework configuration interpreter engine when the sequence of instructions is native. Alternatively, the system may use a framework wrapper engine to adapt the sequence of instructions to be added to the framework configuration interpreter engine when the sequence of instructions is not native, and then add the adapted sequence of instructions to the framework configuration interpreter engine. The system may be configured to integrate, using the framework configuration interpreter engine, the sequence of instructions as a software component into the software framework.

Systems, methods, and devices for integrating a software component into a software framework and for orchestrating and integrating data are disclosed. In one implementation, the disclosed system may receive a software component with a sequence of instructions. Consistent with disclosed embodiments, the system may determine whether the sequence of instructions is native to a predetermined operating system. Further, the system may add the sequence of instructions to a framework configuration interpreter engine when the sequence of instructions is native. Alternatively, the system may use a framework wrapper engine to adapt the sequence of instructions to be added to the framework configuration interpreter engine when the sequence of instructions is not native, and then add the adapted sequence of instructions to the framework configuration interpreter engine. The system may be configured to integrate, using the framework configuration interpreter engine, the sequence of instructions as a software component into the software framework.

The application provides an interpreter of a reconfigurable cryptographic algorithm based on a customized high-level C language, and belongs to the technical field of information security. The interpreter comprises an input program of a cryptographic algorithm customization language, a compiling optimization module, a generation module of an intermediate file and a data flow graph, a mapping module and an array generation configuration code module. The application provides an automatic mapping tool for a reconfigurable processor, which can take the customized high-level C language as input. The interpreter arranges and connects computing units such as operators according to the program setting mode, so as to complete the mapping of the whole computing function. This mode can not only shorten the development cycle of the reconfigurable system, but also reduce the need for the user's hardware mastering degree, so that the computing function units of each part are mapped to the reconfigurable processor in a more optimized mode, and the performance of the reconfigurable processor is further effectively improved.

A computer-implemented method for extending a first JavaScript runtime is disclosed. A WebAssembly (Wasm) interpreter is embedded within the first JavaScript runtime based on integrating, in the first JavaScript runtime a runtime component and a Wasm interpreter manager. The runtime component implements, at least, a memory allocator configured to manage a memory space that is mutually accessible by Wasm and JavaScript and a WebAssembly System Interface (WASI) -compliant Wasm runtime. The Wasm interpreter manager is configured to track compiled Wasm modules and instantiated Wasm modules.