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Returns the position of the start of the first occurrence of the character char in string. If the character is not found most of these routines return an invalid index value – -1 where indexes are 0-based, 0 where they are 1-based – or some value to be interpreted as Boolean FALSE.
The indices are one-based (meaning the first is number one), inclusive (meaning the indices you specify are included), and may be negative to count from the other end. For example, {{#invoke:string|sub|12345678|2|-3}} → 23456. Not all the legacy substring templates use this numbering scheme, so check the documentation of unfamiliar templates.
Returns string with the first n occurrences of target replaced with replacement. Omitting count will replace all occurrences. Space counts as a character if placed in any of the first three parameters.
This template removes the first word of the first parameter. Use |1= for the first parameter if the string may contain an equals sign (=). By default, words are delimited by spaces, but the optional parameter |sep= can set the separator to any character.
This template removes the last word of the first parameter, i.e. the last non-space token after the last space. Use |1= for the first parameter if the string may contain an equals sign (=). By default, words are delimited by spaces, but the optional parameter |sep= can set the separator to any character.
A simple and inefficient way to see where one string occurs inside another is to check at each index, one by one. First, we see if there is a copy of the needle starting at the first character of the haystack; if not, we look to see if there's a copy of the needle starting at the second character of the haystack, and so forth.
In computer science, the Knuth–Morris–Pratt algorithm (or KMP algorithm) is a string-searching algorithm that searches for occurrences of a "word" W within a main "text string" S by employing the observation that when a mismatch occurs, the word itself embodies sufficient information to determine where the next match could begin, thus bypassing re-examination of previously matched characters.
Python sets are very much like mathematical sets, and support operations like set intersection and union. Python also features a frozenset class for immutable sets, see Collection types. Dictionaries (class dict) are mutable mappings tying keys and corresponding values. Python has special syntax to create dictionaries ({key: value})