Abstract: A method is implemented by a computing device to identify available ones of a plurality of items of an inventory, where each of the plurality of items has a hold status identifying the item as being currently available or already on hold. The method includes selecting available ones of the plurality of items based on a first bitset and a plurality of second bitsets and asynchronously updating the first bitset and the plurality of second bitsets to reflect a synchronously updated version of the hold status of the plurality of items resulting from one or more of the plurality of items being successfully placed on hold and/or released from being placed on hold.

Abstract: A system may store data in a shared table of a distributed database based on generating a tenant-specific partition key. The system may receive a message from a first tenant that indicates certain data to be written to or retrieved from a shared table (e.g., shared between multiple tenants). The system may then identify a data key, a tenant identifier, and a data type identifier associated with the data and generate a partition key that includes the data key, tenant identifier, and data type identifier. The system may then transmit the partition key to the shared table, and data may be written to or retrieved from the table based on the tenant-specific partition key.

Abstract: Some embodiments of the present invention include updating an existing version of a source code stored in a local source repository using differences between a most current version of a source code stored in a central source repository and the existing version of the source code stored in the local source repository, the most current version of the source code associated with an application; updating an existing version of a binary code stored in a local binary repository to a most current version using differences between a most current version of a binary code stored in a central binary repository and the existing version of the binary code stored in the local binary repository; updating the most current version of the binary code stored in the local binary repository using binary code of one or more modified source code modules to generate a first binary code; and enabling testing of the application using the first binary code.

Abstract: An online system ranks test cases run in connection with check-in of sets of software files in a software repository. The online system ranks the test cases higher if they are more likely to fail as a result of defects in the set of files being checked in. Accordingly, the online system informs software developers of potential defects in the files being checked in early without having to run the complete suite of test cases. The online system determines a vector representation of the files and test cases based on a neural network. The online system determines an aggregate vector representation of the set of files. The online system determines a measure of similarity between the test cases and the aggregate vector representation of the set of files. The online system ranks the test cases based on the measures of similarity of the test cases.

Abstract: Some embodiments of the present invention include receiving, by a server computing system, a first request from a client computing system for a first source code stored in a first central source repository and a second source code stored in a second central source repository; generating, by the server computing system, a combined source code using the first source code and the second source code, said generating being based on at least one dependency between a source code module in the first source code and a source code module in the second source code; and responding, by the server computing system, to the first request by transmitting one or more source code modules in the combined source code to the client computing system.

Abstract: Some embodiments of the present invention include updating an existing version of a source code stored in a local source repository using differences between a most current version of a source code stored in a central source repository and the existing version of the source code stored in the local source repository, the most current version of the source code associated with an application; updating an existing version of a binary code stored in a local binary repository to a most current version using differences between a most current version of a binary code stored in a central binary repository and the existing version of the binary code stored in the local binary repository; updating the most current version of the binary code stored in the local binary repository using binary code of one or more modified source code modules to generate a first binary code; and enabling testing of the application using the first binary code.