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Presented here are two algorithms: the first, [8] simpler one, computes what is known as the optimal string alignment distance or restricted edit distance, [7] while the second one [9] computes the Damerau–Levenshtein distance with adjacent transpositions.
The following example tests to see if the number at the bottom of the stack is "1" and, if so, replaces it with "Equal to one": « IF 1 == THEN "Equal to one" END » The IF construct evaluates the condition then tests the bottom of the stack for the result.
For example, if a ruler's smallest mark is 0.1 cm, and 4.5 cm is read, then it is 4.5 (±0.1 cm) or 4.4 cm to 4.6 cm as to the smallest mark interval. However, in practice a measurement can usually be estimated by eye to closer than the interval between the ruler's smallest mark, e.g. in the above case it might be estimated as between 4.51 cm ...
One of the simplest sets of edit operations is that defined by Levenshtein in 1966: [2] Insertion of a single symbol. If a = u v, then inserting the symbol x produces u x v. This can also be denoted ε→ x, using ε to denote the empty string. Deletion of a single symbol changes u x v to u v (x →ε).
The most widely known string metric is a rudimentary one called the Levenshtein distance (also known as edit distance). [2] It operates between two input strings, returning a number equivalent to the number of substitutions and deletions needed in order to transform one input string into another.
COBOL uses the STRING statement to concatenate string variables. MATLAB and Octave use the syntax "[x y]" to concatenate x and y. Visual Basic and Visual Basic .NET can also use the "+" sign but at the risk of ambiguity if a string representing a number and a number are together. Microsoft Excel allows both "&" and the function "=CONCATENATE(X,Y)".
Nuitka compiles Python into C. [164] It works with Python 3.4 to 3.12 (and 2.6 and 2.7), for Python's main supported platforms (and Windows 7 or even Windows XP) and for Android. It claims complete support for Python 3.10, some support for 3.11 and 3.12 and experimental support for Python 3.13.
String interpolation is an alternative to building string via concatenation, which requires repeat quoting and unquoting; [2] or substituting into a printf format string, where the variable is far from where it is used. Compare: