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A Target contains a set of tasks for MSBuild to execute. The focus of MSBuild is the result Target specified when invoking MSBuild with the project file. This is because a Project may contain several Target entries, each executed sequentially (and conditionally). Subsequent dependent Targets are executed before the requested Target.
UnitTest++ is free software. Simplicity, portability, speed, and small footprint are all important aspects of UnitTest++. upp11 Yes Yes No No No Yes Yes Yes Yes [166] Free software. Minimal (single small header), auto test registrations, parametrized tests, etc. C++11 only. UquoniTest Proprietary Yes Yes Yes No Yes Yes Yes Yes Yes [167] Commercial.
Visual Studio supports running multiple instances of the environment (each with its own set of VSPackages). The instances use different registry hives (see MSDN 's definition of the term "registry hive " in the sense used here) to store their configuration state and are differentiated by their AppId (Application ID).
The following table lists the various web template engines used in Web template systems and a brief rundown of their features. Engine (implementation) [ a ] Languages [ b ]
Text Template Transformation Toolkit (usually referred to as "T4") is a free and open-source template-based text generation framework. T4 source files are usually denoted by the file extension ".tt". T4 source files are usually denoted by the file extension ".tt".
The following table defines the possible outcomes when testing multiple null hypotheses. Suppose we have a number m of null hypotheses, denoted by: H 1, H 2, ..., H m. Using a statistical test, we reject the null hypothesis if the test is declared significant. We do not reject the null hypothesis if the test is non-significant.
Multi-objective optimization or Pareto optimization (also known as multi-objective programming, vector optimization, multicriteria optimization, or multiattribute optimization) is an area of multiple-criteria decision making that is concerned with mathematical optimization problems involving more than one objective function to be optimized simultaneously.
Example of Multi-Agent Path Finding in a grid environment. The problem of Multi-Agent Pathfinding (MAPF) is an instance of multi-agent planning and consists in the computation of collision-free paths for a group of agents from their location to an assigned target.