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Many trim functions have an optional parameter to specify a list of characters to trim, instead of the default whitespace characters. For example, PHP and Python allow this optional parameter, while Pascal and Java do not. With Common Lisp's string-trim function, the parameter (called character-bag) is required.
For example, one could define a dictionary having a string "toast" mapped to the integer 42 or vice versa. The keys in a dictionary must be of an immutable Python type, such as an integer or a string, because under the hood they are implemented via a hash function. This makes for much faster lookup times, but requires keys not change.
Due to the expense of finding the length, many programs did not bother before copying a string to a fixed-size buffer, causing a buffer overflow if it was too long. The inability to store a zero requires that text and binary data be kept distinct and handled by different functions (with the latter requiring the length of the data to also be ...
There are different types of TRIM defined by SATA Words 69 and 169 returned from an ATA IDENTIFY DEVICE command: Non-deterministic TRIM: Each read command to the logical block address (LBA) after a TRIM may return different data. Deterministic TRIM (DRAT): All read commands to the LBA after a TRIM shall return the same data, or become determinate.
R" end-of-string-id ( content) end-of-string-id ", that is, after R" the programmer can enter up to 16 characters except whitespace characters, parentheses, or backslash, which form the end-of-string-id (its purpose is to be repeated to signal the end of the string, eos id for short), then an opening parenthesis (to denote the end of the eos id ...
More formally, for any language L and string x over an alphabet Σ, the language edit distance d(L, x) is given by [14] (,) = (,), where (,) is the string edit distance. When the language L is context free , there is a cubic time dynamic programming algorithm proposed by Aho and Peterson in 1972 which computes the language edit distance. [ 15 ]
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.
Thus, for example, given a character a ∈ Σ, one has f(a)=L a where L a ⊆ Δ * is some language whose alphabet is Δ. This mapping may be extended to strings as f(ε)=ε. for the empty string ε, and f(sa)=f(s)f(a) for string s ∈ L and character a ∈ Σ. String substitutions may be extended to entire languages as [1]