According to some embodiments, methods and systems may be associated with a cloud computing environment. A unified provisioning service may include a plan configuration data store that contains information associated with a combined service representing a plurality of multi-tenant cloud applications. A cloud platform provisioning framework may receive an indication of a subscription request for the combined service from a consumer via a Software as a Service (“SaaS”) marketplace and access, responsive to the received indication, a dependent service framework of the unified provisioning service. The cloud platform provisioning framework may then receive dependency subscription data from the unified provisioning service, and, based on the dependency subscription data, arrange for the consumer to be subscribed to each of the plurality of multi-tenant cloud applications.

Methods and systems for processing medical images. One method includes, in response to startup of an application using an algorithm, creating a server process supporting a programming language associated with the algorithm and loading a plurality of deep learning models used by the algorithm into a memory of the server process to create in-memory models. The method also includes processing a first set of one or more medical images with the server process using the algorithm and at least one model selected from the in-memory models, maintaining the in-memory models in the memory of the server process after processing the first set of one or more medical images, and, in response to a request to process a second set of one or more medical images, processing the second set of one or more medical images using the algorithm and at least one of the in-memory models.

A computer-implemented method (and corresponding system) is provided, that enables or facilitates the execution of a portion of source code, written in a high-level language (HLL), on a blockchain platform. The method and system can include a blockchain compiler, arranged to convert a portion of high-level source code into a form that can be used with a blockchain platform. This may be the Bitcoin blockchain or an alternative. The method can include: receiving the portion of source code as input; and generating an output script comprising a plurality of op_codes. The op_codes are a subset of op_codes that are native to a functionally-restricted, blockchain scripting language. The outputted script is arranged and/or generated such that, when executed, the script provides, at least in part, the functionality specified in the source code. The blockchain scripting language is restricted such that it does not natively support complex control-flow constructs or recursion via jump-based loops or other recursive programming constructs. The step of generating the output script may comprise the unrolling at least one looping construct provided in the source code. The method may further comprise providing or using an interpreter or virtual machine arranged to convert the output script into a form that is executable on a blockchain platform.

Generating test input values for functional components based on test coverage analysis is disclosed herein. In one example, a processor device of a computing device performs a test coverage analysis of a plurality of programming instructions of a functional component that takes a plurality of input parameters. Based on the test coverage analysis, the processor device identifies a subset of the programming instructions for which testing has not been performed. The processor device then identifies a data type for each of the functional component's input parameters, and generates test input values based on the data types and the test coverage analysis, including a test input value that causes executable instructions corresponding to the subset of programming instructions to be executed during subsequent testing. The test input values may be used during subsequent unit testing to ensure full test coverage of the functional component.

The present disclosure provides an object distribution processing method, device, and system. The object distribution processing method includes: receiving, by an object distribution server, content of an object distribution transaction from a blockchain node, where the content of an object distribution transaction includes a transaction hash specific to the object information to be distributed; after the object distribution server reaches a distribution start time, receiving object distribution requests from a plurality of clients; determining a corresponding award winner from a plurality of object distribution requests; and sending an object distribution message with the hash value to the award winner. With this method, the tamper-resistant characteristic of transaction content in a blockchain is used, and a proof for a transaction hash value specific to initial object information is provided for a user, thereby improving fairness of an object distribution service.

A method evolves generic computational building blocks. The method initializes a parent population with randomly generated programs or programs evolved by a genetic programming instance that uses randomized targets. The method also obtains a list of randomly generated test inputs. The method generates a target dataset that includes input-output pairs of randomly generated binary strings. The method also applies a fitness function to assign a fitness score to each program, based on the target dataset. The method grows a seed list by applying genetic operators, and selecting offspring that satisfy a novelty condition. The novelty condition is representative of an ability of a program to produce unique output for the list of randomly generated test inputs. The method iterates until a terminating condition has been satisfied. The terminating condition is representative of an ability of programs in the seed list to solve one or more genetic programming instances.

An example apparatus to perform a convolution on an input tensor includes a parameters generator to: generate a horizontal hardware execution parameter for a horizontal dimension of the input tensor based on a kernel parameter and a layer parameter; and generate a vertical hardware execution parameter for a vertical dimension of the input tensor based on the kernel parameter and the layer parameter; an accelerator interface to configure a hardware accelerator circuitry based on the horizontal and vertical hardware execution parameters; a horizontal Iterator controller to determine when the hardware accelerator circuitry completes the first horizontal iteration of the convolution; and a vertical Iterator controller to determine when the hardware accelerator circuitry completes the first vertical iteration of the convolution.

Techniques are described herein for automatically synthesizing programs that include one or more functions in a spreadsheet programming language. A method includes: receiving a first example including input provided in a first cell in a spreadsheet; automatically synthesizing a plurality of candidate programs including a first set of candidate programs consistent with the first example, wherein each candidate program in the first set of candidate programs comprises at least one function in a spreadsheet programming language and, when the candidate program is executed, the candidate program generates output that matches the first example; ranking the plurality of candidate programs; and storing a highest-ranked program of the plurality of candidate programs in association with the first cell in the spreadsheet.

A multi-language component management system allows users to create and reuse reusable components in various supported languages for a desired state configuration system. The system manages creation and construction of reusable multi-language components. The system may receive a request to create an instance of a component in a first configuration language. The request may include input parameters for creating the instance. The component may be authored in a second configuration language different from the first configuration language and may include resources such as child components that depend on the component. The system may generate output properties containing information for generating the plurality of resources. The system may recursively construct the child components that depend on the component, which may in turn result in construction of additional resources. In response to the dependency of the component is resolved, the system outputs a set of completely resolved output properties.

A system and method of the disclosure relates to structuring at least one resource of an application programming interface (API) for a server. In the method, a plurality of field-level elements may be defined. Each of the plurality of field-level elements may be associated with a respective property. Also, first and second message-level elements may be defined. The first message-level element may be based on a first field-level element of the plurality of field-level elements, and the second message-level element may be based on the first field-level element. The API may be associated with a first resource having properties resolved based on at least the first and second message-level elements.