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In computer science, a generator is a routine that can be used to control the iteration behaviour of a loop.All generators are also iterators. [1] A generator is very similar to a function that returns an array, in that a generator has parameters, can be called, and generates a sequence of values.
The Python programming language has a builtin plistlib module to read and write plist files, in Apple's XML or in binary (since Python 3.4). [28] ProperTree is a cross-platform editor that makes use of this library.
A dynamic array is a data structure that allocates all elements contiguously in memory, and keeps a count of the current number of elements. If the space reserved for the dynamic array is exceeded, it is reallocated and (possibly) copied, which is an expensive operation.
In computer programming, a function (also procedure, method, subroutine, routine, or subprogram) is a callable unit [1] of software logic that has a well-defined interface and behavior and can be invoked multiple times.
In theoretical computer science and cryptography, a pseudorandom generator (PRG) for a class of statistical tests is a deterministic procedure that maps a random seed to a longer pseudorandom string such that no statistical test in the class can distinguish between the output of the generator and the uniform distribution.
Prefix sums are trivial to compute in sequential models of computation, by using the formula y i = y i − 1 + x i to compute each output value in sequence order. However, despite their ease of computation, prefix sums are a useful primitive in certain algorithms such as counting sort, [1] [2] and they form the basis of the scan higher-order function in functional programming languages.
This is the same as a generator with multiplier b, but producing output in reverse order, which does not affect the quality of the resultant pseudorandom numbers. Couture and L'Ecuyer [ 3 ] have proved the surprising result that the lattice associated with a multiply-with-carry generator is very close to the lattice associated with the Lehmer ...
Then, let's create a string consisting of i bits drawn from uniform, concatenated with the last one of the given bits, followed by the created m−i−1 bits. The resulting output is either H i or H i+1 , since the i+1 bit is either drawn from uniform or from G l .