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In this example, approximately 202 instructions would be required with a "conventional" loop (50 iterations), whereas the above dynamic code would require only about 89 instructions (or a saving of approximately 56%). If the array had consisted of only two entries, it would still execute in approximately the same time as the original unwound loop.
The interception code is applied dynamically at execution time. Detours is used by product teams at Microsoft and has also been used by ISVs. [1] [3] [4] Prior to 2016, Detours was available in a free version limited for non-commercial and 32 bit only use and a paid version for commercial use. [5]
Most compilers have at least the following compiler phases (which therefore occur at compile-time): syntax analysis, semantic analysis, and code generation.During optimization phases, constant expressions in the source code can also be evaluated at compile-time using compile-time execution, which reduces the constant expressions to a single value.
GitHub Copilot is the evolution of the "Bing Code Search" plugin for Visual Studio 2013, which was a Microsoft Research project released in February 2014. [9] This plugin integrated with various sources, including MSDN and Stack Overflow, to provide high-quality contextually relevant code snippets in response to natural language queries.
Timing and latency: check the time taken for the execution of instructions; Detecting and penalizing debugger [24] An early example of anti-debugging existed in early versions of Microsoft Word which, if a debugger was detected, produced a message that said, "The tree of evil bears bitter fruit. Now trashing program disk.", after which it ...
Curried functions have many applications, such as eliminating redundant code. For example, a module may require functions of type a-> b, but it is more convenient to write functions of type a * c-> b where there is a fixed relationship between the objects of type a and c. A function of type c-> (a * c-> b)-> a-> b can factor out this commonality.
The non-Python library being called to perform the CPU-intensive task is not subject to the GIL and may concurrently execute many threads on multiple processors without restriction. Concurrency of Python code can only be achieved with separate CPython interpreter processes managed by a multitasking operating system.
Dynamic symbolic execution (also known as DSE or concolic execution) involves executing a test program on a concrete input, collecting the path constraints associated with the execution, and using a constraint solver (generally, an SMT solver) to generate new inputs that would cause the program to take a different control-flow path, thus ...