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Copy-and-paste programming, sometimes referred to as just pasting, is the production of highly repetitive computer programming code, as produced by copy and paste operations. It is primarily a pejorative term; those who use the term are often implying a lack of programming competence and ability to create abstractions.
"Don't repeat yourself" (DRY), also known as "duplication is evil", is a principle of software development aimed at reducing repetition of information which is likely to change, replacing it with abstractions that are less likely to change, or using data normalization which avoids redundancy in the first place.
In computer programming, duplicate code is a sequence of source code that occurs more than once, either within a program or across different programs owned or maintained by the same entity. Duplicate code is generally considered undesirable for a number of reasons. [ 1 ]
Code reuse may be achieved different ways depending on a complexity of a programming language chosen and range from a lower-level approaches like code copy-pasting (e.g. via snippets), [3] simple functions (procedures or subroutines) or a bunch of objects or functions organized into modules (e.g. libraries) [4] [2]: 7 or custom namespaces, and ...
The predecessor program changes the variable x 2, which might be in use elsewhere. To expand the statement x 0 := x 1 ∸ 1, one could initialize the variables x n, x n+1 and x n+2 (for a big enough n) to 0, x 1 and 0 respectively, run the code on these variables and copy the result (x n) to x 0. A compiler can do this.
Cut, copy, and paste are essential commands of modern human–computer interaction and user interface design. They offer an interprocess communication technique for transferring data through a computer's user interface .
We can think of a pseudorandom number generator (PRNG) as a function that transforms a series of bits known as the state into a new state and a random number. That is, given a PRNG function and an initial state s t a t e 0 {\displaystyle \mathrm {state} _{0}} , we can repeatedly use the PRNG to generate a sequence of states and random numbers.
For example, in base 2, the counter can estimate the count to be 1, 2, 4, 8, 16, 32, and all of the powers of two. The memory requirement is simply to hold the exponent. As an example, to increment from 4 to 8, a pseudo-random number would be generated such that the probability the counter is increased is 0.25. Otherwise, the counter remains at 4.