Abstract: Described are examples for providing a system for managing configuration and policies for a virtualized wide area network (vWAN) support on a wide area network (WAN). The vWAN includes a plurality of virtual network entities associated with geographic locations including the physical computing resources of the WAN and virtual connections between the virtual network entities. The system includes a network safety component for managing configurations and policies of the vWAN on the WAN. The network safety component receives a change to a policy or configuration of the vWAN from an operator of a network connected to the vWAN. The network safety component evaluates a set of safety rules for the operator based on the change and a network state of a physical WAN underlying the vWAN. The network safety component generates an error message in response to at least one of the set of safety rules failing the evaluation.

Abstract: Examples are disclosed herein that relate to string transformation sub-program suggestion. One example provides, at a computing device, a method comprising receiving a dataset having a plurality of input strings; receiving a declarative user input associated with a desired string transformation sub-program to be performed using the dataset as input; in a search space having a plurality of string transformation sub-programs, reducing the search space based on (i) the user input and (ii) one or more of the plurality of input strings of the dataset, to thereby form a reduced search space, the reduced search space having at least one string transformation sub-program that is configured to transform one or more of the plurality of input strings of the dataset; and selecting, from the reduced search space, one or more suggested string transformation sub-programs.

Abstract: Systems, methods, and computer-executable instructions for parallel searching in program synthesis. A task to synthesize in a domain specific language (DSL) is received. The task is synthesized. Synthesizing the task includes generating sub-goals based on the task. The synthesized task includes a subset of the sub-goals. An estimated completion time for each of the sub-goals is expressed using the DSL is determined. The sub-goals are scheduled based on the estimated completion time. Some of the sub-goals are scheduled to be executed in parallel. The sub-goals are solved based on the scheduling to synthesize the task in the DSL. An elapsed real time to complete the synthesizing the task is reduced compared to scheduling the sub-goals in an order based on sub-goal generation.

Abstract: Automatically identifying context-specific repeated transformations (such as repeated edit tasks) that are based on observation of the developer drafting or modifying code. As the developer modifies the code, the code passes through a series of states, one after the other. The computing system observes the series of states of the code. It is based on this observation that the computing system identifies repeated transformations of the code for potentially offering to continue performing the repeated transformations for the user. This alleviates the developer from having to manually perform the remainder of the repeated transformations.

Abstract: Systems, methods, and computer-executable instructions for synthesizing a performant program include receiving a plurality of input examples. A plurality of input and output data pairs are generated using the input examples as input to the synthesized program. An expanded equivalence set is generated from the plurality of input and output data pairs. The expanded equivalence set is input to a synthesis engine to synthesize a first performant program. The first performant program is received. The first performant program does not satisfy at least one input and output data pair of the plurality of input and output data pairs. At least one input and output data pairs is added to the equivalence set. The equivalence set of input and output data pairs to the synthesis engine to synthesize a second performant program. The second performant program is determined to satisfy each of the plurality of input and output data pairs.

Abstract: Automatically identifying context-specific repeated transformations (such as repeated edit tasks) that are based on observation of the developer drafting or modifying code. As the developer modifies the code, the code passes through a series of states, one after the other. The computing system observes the series of states of the code. It is based on this observation that the computing system identifies repeated transformations of the code for potentially offering to continue performing the repeated transformations for the user. This alleviates the developer from having to manually perform the remainder of the repeated transformations.

Abstract: Systems, methods, and computer-executable instructions for synthesizing programs using a prefix of an output. A specification of a task to synthesize a program in a domain specific language (DSL) is received. The specification includes an input and a corresponding prefix of the output. Programs for the task are synthesized. The synthesizing includes generating sub-goals based on the specification. Each of the synthesized programs include a solved subset of sub-goals and each sub-goal includes a symbol in the DSL. The symbol is transformed based on the DSL. The sub-goals are solved based on the transforming of the symbol using the input and the corresponding prefix of the output to generate the synthesized programs. The prefix of the output matches a prefix of an output from each of the plurality of synthesized programs.

Abstract: Systems, methods, and computer-executable instructions for synthesizing programs using a prefix of an output. A specification of a task to synthesize a program in a domain specific language (DSL) is received. The specification includes an input and a corresponding prefix of the output. Programs for the task are synthesized. The synthesizing includes generating sub-goals based on the specification. Each of the synthesized programs include a solved subset of sub-goals and each sub-goal includes a symbol in the DSL. The symbol is transformed based on the DSL. The sub-goals are solved based on the transforming of the symbol using the input and the corresponding prefix of the output to generate the synthesized programs. The prefix of the output matches a prefix of an output from each of the plurality of synthesized programs.

Abstract: Systems, methods, and computer-executable instructions for parallel searching in program synthesis. A task to synthesize in a domain specific language (DSL) is received. The task is synthesized. Synthesizing the task includes generating sub-goals based on the task. The synthesized task includes a subset of the sub-goals. An estimated completion time for each of the sub-goals is expressed using the DSL is determined. The sub-goals are scheduled based on the estimated completion time. Some of the sub-goals are scheduled to be executed in parallel. The sub-goals are solved based on the scheduling to synthesize the task in the DSL. An elapsed real time to complete the synthesizing the task is reduced compared to scheduling the sub-goals in an order based on sub-goal generation.

Abstract: Systems, methods, and computer-executable instructions for synthesizing programs using a prefix of an output. A specification of a task to synthesize a program in a domain specific language (DSL) is received. The specification includes an input and a corresponding prefix of the output. Programs for the task are synthesized. The synthesizing includes generating sub-goals based on the specification. Each of the synthesized programs include a solved subset of sub-goals and each sub-goal includes a symbol in the DSL. The symbol is transformed based on the DSL. The sub-goals are solved based on the transforming of the symbol using the input and the corresponding prefix of the output to generate the synthesized programs. The prefix of the output matches a prefix of an output from each of the plurality of synthesized programs.

Abstract: Systems, methods, and computer-executable instructions for synthesizing a performant program include receiving a plurality of input examples. A plurality of input and output data pairs are generated using the input examples as input to the synthesized program. An expanded equivalence set is generated from the plurality of input and output data pairs. The expanded equivalence set is input to a synthesis engine to synthesize a first performant program. The first performant program is received. The first performant program does not satisfy at least one input and output data pair of the plurality of input and output data pairs. At least one input and output data pairs is added to the equivalence set. The equivalence set of input and output data pairs to the synthesis engine to synthesize a second performant program. The second performant program is determined to satisfy each of the plurality of input and output data pairs.

Abstract: Examples are disclosed herein that relate to string transformation sub-program suggestion. One example provides, at a computing device, a method comprising receiving a dataset having a plurality of input strings; receiving a declarative user input associated with a desired string transformation sub-program to be performed using the dataset as input; in a search space having a plurality of string transformation sub-programs, reducing the search space based on (i) the user input and (ii) one or more of the plurality of input strings of the dataset, to thereby form a reduced search space, the reduced search space having at least one string transformation sub-program that is configured to transform one or more of the plurality of input strings of the dataset; and selecting, from the reduced search space, one or more suggested string transformation sub-programs.