An improved development and deployment environment and processes for developing and deploying object-oriented web-based scan-task enabled applications, wherein web-based scan-task enabled client computers use scan task specifications and task decoders to retrieve and decode a scan tasks encapsulated on each web page requested and received from a web server supported by an application server and database server, and then perform specified actions, including the display of web controls, required by the scan task script contained within the decoded scan task, corresponding to the served web page.

Described are methods, systems and computer readable media for performance logging of complex query operations.

A processor includes a decode unit to decode an instruction that is to indicate a page of a protected container memory, and a storage location outside of the protected container memory. An execution unit, in response to the instruction, is to ensure that there are no writable references to the page of the protected container memory while it has a write protected state. The execution unit is to encrypt a copy of the page of the protected container memory. The execution unit is to store the encrypted copy of the page to the storage location outside of the protected container memory, after it has been ensured that there are no writable references. The execution unit is to leave the page of the protected container memory in the write protected state, which is also valid and readable, after the encrypted copy has been stored to the storage location.

Systems and methods for code generation are described. The method may include accessing an application programming interface (API) specification written in a first computer programming language. The method may also include processing the API specification in the first computer programming language with a code generation tool. Furthermore, the method may include generating, from the API specification, code in each of a plurality of different computer programming languages different from the first computer programming language and different from each other.

Computer software development has produced many advances within computer science and in most aspects of modern society. Even with modern quality control, bug finding, and other code checking applications, computer software is often less than ideal. A developer may write code that is functionally accurate but lacks security, documentation, speed, storage, reusability, or other element that may make a segment of software code less than ideal. Identifying equivalent code and, when found, replacing it with a vetted equivalent promotes the deployment of software that is more robust, secure, usable and reusable, and/or satisfies performance or other objectives.

In an embodiment, the infrastructure comprises a script execution module that comprises a compiler that compiles scripts, having instructions that reference device properties, into virtual-machine programs, a virtual machine that executes virtual-machine programs, and a script manager that stores scripts, retrieves scripts, and loads scripts into the compiler. In addition, the infrastructure may comprise gateway(s), communicatively connected to physical device(s). The gateway(s) may each comprise processor(s), driver(s) that each communicate with at least one physical device using a communication protocol to read and/or write device properties of the physical device, and a device manager that maps device properties referenced in the virtual-machine programs to device properties used by the driver(s).

A method includes receiving uncompilable code from a candidate. The method further includes extracting features from the uncompilable code. The method further includes outputting, with a coding machine-learning model, compilable code based on the uncompilable code and the extracted features. The method further includes generating a coding score based on the uncompilable code and the compilable code. The method further includes receiving first media of one or more answers to questions provided by the candidate during an interview. The method further includes outputting, with a media machine-learning model, one or more corresponding ratings for the one or more answers. The method further includes generating a media score based on the one or more corresponding ratings. The method further includes generating a total score based on the coding score and the media score.

Described are methods, systems and computer readable media for data source refreshing.

Provided is a consumable chip and a communication method thereof. The method is adopted for a consumable chip including a first consumable MCU unit, a verification cryptographic operation unit and a second consumable MCU unit; the method includes: when the first consumable MCU unit is incompatible with the printer, the first consumable MCU unit activating the second consumable MCU unit to execute a second consumable chip core processing flow, and calling the verification cryptographic algorithm function program of the verification cryptographic operation unit to calculate a new verification password; after the first consumable MCU unit inquires that the second consumable MCU unit has completed the second consumable chip core processing flow, the first consumable MCU unit reading the new verification password and sending to the printer, the new verification password is received by the printer to achieve compatibility between the first consumable MCU unit and the printer.

Methods and systems relating to the field of parallel computing are disclosed herein. The methods and systems disclosed include approaches for sparsity uniformity enforcement for a set of computational nodes which are used to execute a complex computation. A disclosed method includes determining a sparsity distribution in a set of operand data, and generating, using a compiler, a set of instructions for executing, using the set of operand data and a set of processing cores, a complex computation. Alternatively, the method includes altering the operand data. The method also includes distributing the set of operand data to the set of processing cores for use in executing the complex computation in accordance with the set of instructions. Either the altering is conducted to, or the compiler is programmed to, balance the sparsity distribution among the set of processing cores.