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{{spaced en dash}}, which produces a non-breaking space, followed by an en dash, and then a breaking space: " – "{{spaced en dash space}}, which produces an en dash preceded and followed by a non-breaking space: " – " {{soft hyphen}}, which produces a soft hyphen to allow a line break with a visible hyphen in a long word if needed; MOS:DASH
Pd, dash Common — EM DASH U+2014: Pd, dash Common ― HORIZONTAL BAR U+2015: Pd, dash Common ⸗ DOUBLE OBLIQUE HYPHEN U+2E17: Pd, dash Common ⸚ HYPHEN WITH DIAERESIS U+2E1A: Pd, dash Common ⸺ TWO-EM DASH U+2E3A: Pd, dash Common ⸻ THREE-EM DASH U+2E3B: Pd, dash Common ⹀ DOUBLE HYPHEN U+2E40: Pd, dash Common 〜 WAVE DASH U+301C: Pd ...
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.
A spreadsheet's concatenate ("&") function is used to assemble a complex text string—in this example, XML code for an SVG "circle" element. In formal language theory and computer programming, string concatenation is the operation of joining character strings end-to-end. For example, the concatenation of "snow" and "ball" is "snowball".
Another recent idea is the similarity join. When matching database relates to a large scale of data, the O ( mn ) time with the dynamic programming algorithm cannot work within a limited time. So, the idea is to reduce the number of candidate pairs, instead of computing the similarity of all pairs of strings.
This template's initial visibility currently defaults to expanded, meaning that it is fully visible. To change this template's initial visibility, the |state= parameter may be used: {{String-handling templates | state = collapsed}} will show the template collapsed, i.e. hidden apart from its title bar.
In information theory, linguistics, and computer science, the Levenshtein distance is a string metric for measuring the difference between two sequences. The Levenshtein distance between two words is the minimum number of single-character edits (insertions, deletions or substitutions) required to change one word into the other.
Duck typing is similar to, but distinct from, structural typing.Structural typing is a static typing system that determines type compatibility and equivalence by a type's structure, whereas duck typing is dynamic and determines type compatibility by only that part of a type's structure that is accessed during runtime.