20 results about "Interpreter" patented technology

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.

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 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.

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.

This invention discloses a motion control table script execution system supporting online programming and debugging, relating to the field of motion control software development. The system includes: an integrated script execution engine, which integrates a C language interpreter and a motion control function library within a single execution environment, used to directly parse script text conforming to C language syntax rules and convert it into control instructions for the motion control table; a concurrent execution and isolation management unit, used to create and maintain an independent execution context with a complete lifecycle for each user script, and to schedule multiple execution contexts to run concurrently and in isolation within the script execution engine; and an online interactive debugging interface, used to receive external debugging instructions during script execution and control the script execution engine to switch between full-speed running mode and interactive debugging mode. This solution can significantly improve the development efficiency, operational safety, and task processing capabilities of motion control systems.

A system and method of programmer-interpreter approach for large language model post-editing is described. A method includes receiving, by a generator in a text generation system, an input, translating, by the generator, the input into an initial output text using at least a set of examples retrieved by a function in the generator when performing in-context learning, iteratively refining, by a programmer and an interpreter in the text generation system, the initial output text or intermediate output text, wherein the programmer encodes domain task-specific knowledge and the interpreter facilitates domain generalization, iteratively improving a quality of the initial output text or the intermediate output text in low-resource cross-domain text generation tasks by exploiting encoding of domain task-specific knowledge by the interpreter and facilitation of domain generalization by the interpreter, and outputting, by the text generation system, output text based on the initial output text and the intermediate output text.

The application discloses a service-oriented arrangement method for generating a workflow service based on an AST. The application specifically realizes the following steps: a management personnel combines atomic services in a system platform in a dragging manner to form state language nodes of a business process; a back end analyzes data and logic in the state language nodes, combines and forms an AST tree of a required language; fixed input and output logic is added; the AST tree is converted into readable code of a corresponding language, and the readable code is generated or executed into a process service through a general editor / interpreter of the language; and the application provides services in the form of an HTTP service. The executable program of the application does not depend on other independently running components, is convenient to extend, has clear responsibilities, occupies fewer resources, has a fast cold start speed and is cloud-native compared with a traditional method.

The application discloses a method, device and medium for executing test cases, and is suitable for the technical field of testing. Based on the extension of pytest test framework, the test cases are converted into excel file information containing interface test information, the interface parameter information is obtained by reading the excel file information and configuration information through a Python interpreter; the interface parameter information is configured through the parameter passing mode and pre-post steps of the pytest test framework to execute the corresponding test cases, and request information is sent to the server to obtain the execution result; and the test result is obtained by comparing the execution result with the expected result of the test case. Even without experienced and skilled testers, the current complex test case execution can be completed, the difficulty of writing automated test cases is greatly reduced, the coverage level of automated testing is improved, and the efficiency of executing test cases is improved.

The application discloses a backstack method and device when a stackless interpreter executes an exception, and a storage medium. The method comprises the following steps: saving first information, second information, third information and fourth information in a native stack frame corresponding to a first interpreter which interprets and executes an entry program; and when an exception occurs in a current program which is interpreted and executed by a second interpreter, acquiring a first call chain corresponding to at least one bytecode file according to the first information, the second information, the third information and the fourth information. According to the scheme, when an exception occurs in a program of a virtual machine which is interpreted and executed by a stackless interpreter, relevant information can be saved in a native stack frame corresponding to a first interpreter which interprets and executes an entry program, and a call chain corresponding to bytecode files of each execution program of the virtual machine can be acquired according to the relevant information, so that the problem can be located conveniently, and the efficiency of solving the problem is improved.

In a described embodiment a system for enhancing artificial intelligence language models is provided. The system includes a Neurotransmitter Simulation Module (NSM) configured to simulate dynamics of multiple neurotransmitters. The system further includes a State Interpreter configured to generate a multi-dimensional cognitive-emotional state vector based on analysing neurotransmitter levels and an Adaptive Parameter Adjustment Module (APAM) configured to adjust language model parameters based on the cognitive-emotional state vector. A language model is configured to generate natural language outputs using the adjusted parameters. A feedback loop mechanism is configured to evaluate quality of the natural language outputs and provide feedback signals to at least one of the NSM or the APAM.

This application proposes a method for updating vehicle-side data acquisition functions. The method is applied to the vehicle and comprises the following steps: Step S100: Receiving a script and / or configuration containing acquisition rules from a server. The acquisition rules define when the acquisition of relevant scenario data is triggered according to a predefined acquisition scenario. Step S200: Analyzing the received script and / or configuration using an interpreter to convert the contained acquisition rules into acquisition instructions executable by the vehicle. Step S300: Executing the vehicle-side data acquisition according to the converted acquisition instructions. This application also includes a vehicle, a server, and a computer program product.This registration method requires downloading only the scripts or configurations related to the data collection function, instead of the entire software package. This significantly saves bandwidth and reduces the update cycle compared to OTA technology.

Disclosed is an improved approach to implement software programming which allows for interactive coding without having to restart a procedure. This is implemented using a combination of an interpreter which allows for modification of code during runtime using an interactive console and a versioned memory system used by the interpreter to roll-back memory to a previous state of execution.

The invention comprises a device for operating a field device (FG) of automation technology by means of an operating unit (BE), comprising: - Retrieving a code (CD) via the web server (WS) and loading the code (CD) onto the control unit (BE); - Retrieving a device driver or device description (EDD) for the field device (FG) and loading the device driver or device description (EDD) onto the operator unit (BE); - Execution of the code (CD) in a browser (BR) of the control unit (BE), wherein the executed code (CD) provides an interpreter for the device driver or the device description (EDD); - Loading the device driver, or the device description (EDD), into the interpreter; and - Operating the field device (FG), whereby, in the course of operation, one or more operating telegrams are generated via the device driver or the device description (EDD), the operating telegrams being designed according to the fieldbus protocol and being transmitted via the second communication network from the operating unit (BE) to the web server (WS), and / or wherein, during operation, one or more response telegrams are generated by the field device (FG) and tunneled via the second communication network from the field device (FG) to the operating unit (BE).

The invention discloses a deep learning operator numerical optimization method and device, and belongs to the field of program analysis and numerical calculation. The method comprises the following steps of: automatically converting a multi-row operator kernel into a uniform mathematical symbol expression through a symbol rewriting technology, and safely exploring a rewriting space under the constraint of a sample during operation by applying a rule base covering an algebraic identical and a known number value stable form, and generating a group of semantically equivalent and structurally diverse candidate implementations; afterwards, target framework semantics are simulated by utilizing a self-defined high-precision interpreter, each candidate stoke error is calculated on a boundary input set which is well designed, and optimal implementation is selected on the basis of an average error. The method not only can reproduce a known stable mode, but also can discover a non-trivial equivalent optimization path, and provides quantifiable and reproducible numerical stability guarantee for a deep learning operator.

The invention relates to a method for operating an automation technology field device (FG) by means of an operating unit (BE), comprising: - retrieving a code (CD) via the web server (WS) and loading the code (CD) onto the operating unit (BE); - retrieving a device driver or a device description (EDD) for the field device (FG) and loading the device driver or the device description (EDD) onto the operating unit (BE); - executing the code (CD) in a browser (BR) of the operating unit (BE), the executed code (CD) providing an interpreter for the device driver or the device description (EDD); - loading the device driver or the device description (EDD) into the interpreter; and - operating the field device (FG), and, during operation, one or more operating telegrams are generated by the device driver or the device description (EDD), wherein the operating telegrams are designed according to the field bus protocol and are transmitted from the operating unit (BE) to the web server (WS) in a manner tunneled via the second communication network, and / or, during operation, one or more reply telegrams are generated by the field device (FG) and are transmitted from the field device (FG) to the operating unit (BE) in a manner tunneled via the second communication network.

A method and system that utilizes a metagraph pattern matching chip (MPMC), which includes on-chip and off-chip software. The chip is designed with parallel MIMD cores optimized for artificial general intelligence (AGI) software programs. Specialized on-chip memory caches, each attached to their own specialized processing units, allow for dynamic updating and a mixture of discrete and floating-point operations. Additional software provides the interface between the CPU and MPMC to manage cache. The result is faster execution time for any graph-based architectures and implementation of functional programming interpreters.

A banking pipeline for processing various transactions for multiple financial instruments is disclosed herein. The pipeline may have three distinct interpreters, a transaction interpreter, a rollup interpreter, and a rules interpreter. Different aspects of the transaction may be performed on separate interpreters and each interpreter may perform its aspect of the transaction before the next interpreter begins.

This disclosure provides a knowledge graph question answering method based on code style context learning. For an input code style learning question and a knowledge base, a large language model is first used to obtain a function call sequence through code style context learning. A dense retrieval system is then used to link entities extracted from the function calls and to perform relation matching on the relation names extracted from the function calls. Finally, a program interpreter executes the generated function call sequence to obtain the logical form, which is then further converted into an executable query to obtain the answer to the question. This method effectively solves the formatting error problem in logical form generation through metafunction design and retrieval enhancement strategies. It not only avoids secondary training of a large model but also significantly improves generalization performance in scenarios with few or no samples.

A method and system for adding a language interpreter to a video call between a healthcare provider and a patient is provided. The method includes initiating the video call between a healthcare provider device and a patient device. Communication information of a language interpreter device can be received and used to call the language interpreter device. The language interpreter device may be added to the video call to allow the language interpreter to facilitate communication between the healthcare provider and the patient. Other embodiments are described and claimed.

It is not trivial to implement speech and natural language processing in offline embedded systems. Voice control of devices in various settings and applications can benefit from an embedded speech and natural language processing solution. One feature that helps to correct automatic speech recognition outputs is grammar projection. Another feature addresses situations where there is imperfect information or incomplete information by providing an application programming interface to enable structured queries and responses between an interpreter and an application.