A method for providing a platform-integrated SDK capable of developing multiple platforms with single source code, includes: receiving, from a user, a build instruction in which any one of the multiple platforms is designated as a build target platform, with respect to source code integrally written for the multiple platforms; importing a software development kit (SDK), among pre-stored SDKs, corresponding to the build target platform; building the source code after the SDK is imported; and providing the built object file to the user.

A method and system may be provided for recording discussions about computer code in an integrated development environment (“IDE”). In some aspects, a communication channel is integrated with an IDE. Communications and discussions may be tracked and linked with specific code sections.

Various computing technologies for various reverse engineering platforms capable of outputting, including creating or generating, a human readable and high level source code, such as C, Fortran, LISP, or BASIC, from various binary files, such as application binaries, executable binaries, or data binaries, in an original language as developed pre-compilation. For example, some of such reverse engineering platforms can be programmed to disassemble binary files from different process architectures, identify various code optimizations as compiler introduced, reverse or unwind various compiler optimizations (de-optimize), and generate a human readable and high-level source code from de-optimized data.

The present application discloses methods, systems, and computer program products for automatically generating source code implementing a regular expression. A regular expression that is defined within source code of an application project is identified. The source code uses a higher-level programming language. Based on identifying the regular expression, a source code implementation of the regular expression is automatically generated using the higher-level programming language, and the source code implementation of the regular expression is integrated into the application project. After integrating the source code implementation of the regular expression into the application project, the source code implementation of the regular expression is compiled into lower-level code and the lower-level code is emitted into an application executable when building the application project, or the source code implementation of the regular expression is interpreted when executing the application project.

A processing device used in a bus, for executing a programming language function of a central processing unit (CPU), comprises a receiving circuit, for receiving a joint command from the CPU, to assist the CPU to execute the programming language function, wherein the joint command comprises an extended read command and an extended write command; a transmitting circuit, coupled to the receiving circuit, for transmitting the extended read command to a slave device, to receive a first response message via the receiving circuit in response to the extended read command from the slave device, wherein the first response message comprises at least one data read by the slave device from a memory block; and a writing circuit, coupled to the receiving circuit and transmitting circuit, for writing the at least one data into a destination address corresponding to the programming language function according to the extended write command.

An automated system for resolving program merges uses a multi-task neural transformer with attention. Each component of a merge conflict tuple (A, B, O) is represented as an AST and transformed into aligned AST-node sequences and aligned editing sequences. The multi-task neural transformer model predicts the tree editing steps needed to resolve the merge conflict and applies them to the AST representation of the code base. The tree editing steps include the edit actions that needed to be applied to the AST of the code base and the edit labels that are inserted or updated with the edit actions.

An automated system for resolving program merges uses a multi-task neural transformer with attention. Each component of a merge conflict tuple (A, B, O) is represented as an AST and transformed into aligned AST-node sequences and aligned editing sequences. The multi-task neural transformer model predicts the tree editing steps needed to resolve the merge conflict and applies them to the AST representation of the code base. The tree editing steps include the edit actions that needed to be applied to the AST of the code base and the edit labels that are inserted or updated with the edit actions.

Various implementations described herein are directed to a system and methods for memory compiling. For instance, a method may include selecting source corners from a memory compiler configuration and generating a standardized set of memory instances for the selected source corners. Also, the method may include deriving a reduced set of memory instances based on the standardized set of memory instances and building a memory compiler database for a compiler space based on the standardized set of memory instances and the reduced set of memory instances.

According to one embodiment, a method that supports queries deploying operators based on multiple programming languages is described. A sequence of operators associated with a query is identified, where the sequence of operators includes at least two neighboring operators including a first operator based on a first programming language and a second operator based on a second programming language that is different from the first programming language. Thereafter, a schema associated with the first operator and a schema associated with the second operator is determined along with the compatibility between the schema of the first operator and the schema of the second operator. A query error message is generated in response to incompatibility between the first operator schema and the second operator schema. Compatibility is determined when an output generated by execution of the first operator provides machine data needed as input for execution of the second operator.

A method includes generating output code based on input code using a compiler or translator and providing the output code to one or more platforms for execution. The method also includes receiving feedback associated with the execution of the output code, where the feedback identifies at least one of: one or more failures during the execution of the output code and one or more performance characteristics of the execution of the output code. The method further includes modifying the compiler or translator based on the feedback and generating additional output code using the modified compiler or translator.