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In Java associative arrays are implemented as "maps", which are part of the Java collections framework. Since J2SE 5.0 and the introduction of generics into Java, collections can have a type specified; for example, an associative array that maps strings to strings might be specified as follows:
An example of Java argument parsing would be: ... To create an array from command-line arguments in the -foo:bar format, the following might be used:
String functions are used in computer programming languages to manipulate a string or query information about a string (some do both).. Most programming languages that have a string datatype will have some string functions although there may be other low-level ways within each language to handle strings directly.
Statement separator – demarcates the boundary between two statements; need needed for the last statement; Line continuation – escapes a newline to continue a statement on the next line; Some languages define a special character as a terminator while some, called line-oriented, rely on the newline.
Another example in JavaScript uses the built-in methods of Array: filter somethings . filter ( x => x . count > 10 ) . sort (( a , b ) => a . count - b . count ) . map ( x => x . name ) Note that in JavaScript filter and map return a new shallow copy of the preceding array but sort operates in place.
C++ Java Extends C with object-oriented programming and generic programming. C code can most properly be used. Strongly influenced by C++/C syntax. Compatible with C source code, except for a few corner cases. Provides the Java Native Interface and recently Java Native Access as a way to directly call C/C++ code.
Differences between C and C++ linkage and calling conventions can also have subtle implications for code that uses function pointers. Some compilers will produce non-working code if a function pointer declared extern "C" points to a C++ function that is not declared extern "C". [22] For example, the following code:
Matrix multiplication is an example of a 2-rank function, because it operates on 2-dimensional objects (matrices). Collapse operators reduce the dimensionality of an input data array by one or more dimensions. For example, summing over elements collapses the input array by 1 dimension.