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HackerRank's programming challenges can be solved in a variety of programming languages (including Java, C++, PHP, Python, SQL, and JavaScript) and span multiple computer science domains. [ 2 ] HackerRank categorizes most of their programming challenges into a number of core computer science domains, [ 3 ] including database management ...
The SEI CERT Coding Standards are software coding standards developed by the CERT Coordination Center to improve the safety, reliability, and security of software systems. [1] [2] Individual standards are offered for C, C++, Java, Android OS, and Perl.
#include <type_traits> #include <cstddef> /* Rank of a type * -----* * Let the rank of a type T be the number of its dimensions if * it is an array; zero otherwise (which is the usual convention) */ template < typename T > struct rank {static const std:: size_t value = 0;}; template < typename T, std:: size_t N > struct rank < T [N] > {static const std:: size_t value = 1 + rank < T >:: value ...
Without such precautions, most programs may compile only on a certain platform or with a particular compiler, due, for example, to the use of non-standard libraries, such as GUI libraries, or to the reliance on compiler- or platform-specific attributes such as the exact size of certain data types and byte endianness.
1999 W3C XPath 1, 2010 W3C XQuery 1, 2014 W3C XPath/XQuery 3.0 Zeek: Domain-specific, application Yes No No No No No No Zig: Application, general, system Yes No Yes Yes Yes Yes Concurrent No Zsh: Shell, scripting: Yes No No Yes No No Loadable modules Optionally POSIX.2 [13]
[1] [2] All functions use floating-point numbers in one manner or another. Different C standards provide different, albeit backwards-compatible, sets of functions. Most of these functions are also available in the C++ standard library, though in different headers (the C headers are included as well, but only as a deprecated compatibility feature).
One way to achieve 'less than one'-shot learning is to label a small number of examples using soft labels so that each example simultaneously provides information about multiple classes. This technique works with both neural networks and classic machine learning algorithms like the k-nearest neighbors algorithm .
The top grade, A, is given here for performance that exceeds the mean by more than 1.5 standard deviations, a B for performance between 0.5 and 1.5 standard deviations above the mean, and so on. [17] Regardless of the absolute performance of the students, the best score in the group receives a top grade and the worst score receives a failing grade.