Abstract: Evaluation data sets may be programmatically generated for code generation models. An evaluation data set is obtained that includes items that correspond to different evaluation tests for a code generation system. The individual items of the evaluation data set maybe converted, including the conversion of a function signature for the items, the test statements for the items and using a code generation system to generate the body of the function.

Abstract: Pre-fix matching may constrain the generation of next token predictions. Input text to perform a next token prediction may be received. Multiple tokens may be determined from the input text, including a partial token. From possible tokens, one or more matching possible tokens with the partial token may be identified. Next token predictions may then be filtered using the identified possible tokens in order to ensure that the partial token is matched.

Abstract: Code completion suggestions may be proactively obtained and validated. An event that triggers obtaining a code completion suggestion for inclusion in a code file being edited using an integrated development environment may be detected. The code completion suggestion may be obtained. The characters of the code completion suggestion may be compared with characters added to the code file after the detection of the event that triggered obtaining the code completion suggestion to determine whether the code completion suggestion is valid. A valid code completion suggestion may then be displayed.

Abstract: Random token segmentation may be implemented for next token prediction. Text data may be received for training a machine learning model to predict a next token given input text tokens. Multiple tokens may be determined from the text data. Different ones of the multiple token may be randomly segmented in to sub-tokens. The machine learning model may then be trained using the multiple tokens including the respective sub-tokens as a training data set.

Abstract: The invention relates to a method for managing risk of an enterprise. The method steps include generating, using risk survey responses, risk panels for first level risk survey items; presenting the risk panels for each of the first level risk survey items; receiving a selection of a first risk panel of the risk panels for a first level risk survey item; presenting, based on the selection, a second risk panel of the risk panels for second level risk survey items; receiving, using the second risk panel, additional risk survey responses for one of the second level risk survey items; updating, based on the additional risk survey responses and using a computer processor, the risk panels for the first level risk survey item to generate revised risk panels; and presenting the revised risk panels for the first level risk survey items.

Abstract: The invention relates to a method for managing risk of an enterprise. The method steps include generating, using risk survey responses, risk panels for first level risk survey items; presenting the risk panels for each of the first level risk survey items; receiving a selection of a first risk panel of the risk panels for a first level risk survey item; presenting, based on the selection, a second risk panel of the risk panels for second level risk survey items; receiving, using the second risk panel, additional risk survey responses for one of the second level risk survey items; updating, based on the additional risk survey responses and using a computer processor, the risk panels for the first level risk survey item to generate revised risk panels; and presenting the revised risk panels for the first level risk survey items.

Abstract: Various aspects described herein are directed to a system that develops and manages releases of software applications. The system includes a server-side branch management module to automatically create one or more branches for deployment of a software application release, a deployment repository to store one or more box sets for a plurality of artifacts for the software release, and a code repository to store the plurality of artifacts. The system may further include a release management module configured to manage continuing releases of the software application, a continuous deployment dashboard module configured to receive the plurality of box sets from the deployment repository, and one or more development modules configured to create or modify at least some artifacts of the plurality of artifacts. The plurality of artifacts are automatically tagged with respective packaging types for automatic generation of the plurality of box sets.

Abstract: A suspending device for a rail, in particular a rail of an overhead conveyor or lifting gear, with a tensile element, which comprises a threaded rod and at least one connecting part that is screwed to the latter, and with a securing element, which secures the screw connection between the threaded rod and the connecting part against loosening. The suspending device for a rail, in particular a running rail of a suspended conveyor or lifting gear, allows simplified and secure mounting in that the securing element engages in a groove with a pin part in the assembled state, with the groove being disposed in the threaded rod.

Abstract: A suspending device for a rail, in particular a rail of an overhead conveyor or lifting gear, with a tensile element, which comprises a threaded rod and at least one connecting part that is screwed to the latter, and with a securing element, which secures the screw connection between the threaded rod and the connecting part against loosening. The suspending device for a rail, in particular a running rail of a suspended conveyor or lifting gear, allows simplified and secure mounting in that the securing element engages in a groove with a pin part in the assembled state, with the groove being disposed in the threaded rod.

Abstract: Aspects of the subject matter described herein relate to test-ready virtual environments. In aspects, a lab environment may be configured that includes multiple virtual machines. The virtual machines may be configured with deployment agents that can be used to install and configure programs on the virtual machines. The virtual machines may also be configured with test agents that can engage in testing activities with respect to the virtual machines. Lab agents may be installed in the virtual machines that manage and monitor the health of the deployment and test agents. Components are described that control configuring the virtual machines of the lab environment into a known state that is ready for development or testing. Various applications of the above are also described.