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By default, a Pandas index is a series of integers ascending from 0, similar to the indices of Python arrays. However, indices can use any NumPy data type, including floating point, timestamps, or strings. [4]: 112 Pandas' syntax for mapping index values to relevant data is the same syntax Python uses to map dictionary keys to values.
Mask generation functions are deterministic; the octet string output is completely determined by the input octet string. The output of a mask generation function should be pseudorandom, that is, if the seed to the function is unknown, it should be infeasible to distinguish the output from a truly random string. [1]
Masking occurs when the same identifier is used for different entities in overlapping lexical scopes. At the level of variables (rather than names), this is known as variable shadowing . An identifier I' (for variable X') masks an identifier I (for variable X) when two conditions are met
Data masking or data obfuscation is the process of modifying sensitive data in such a way that it is of no or little value to unauthorized intruders while still being usable by software or authorized personnel. Data masking can also be referred as anonymization, or tokenization, depending on different context.
Some languages allow variable shadowing in more cases than others. For example Kotlin allows an inner variable in a function to shadow a passed argument and a variable in an inner block to shadow another in an outer block, while Java does not allow these. Both languages allow a passed argument to a function/Method to shadow a Class Field. [1]
To create a hashing function for a hash table, often a function is used that has a large domain. To create an index from the output of the function, a modulo can be taken to reduce the size of the domain to match the size of the array; however, it is often faster on many processors to restrict the size of the hash table to powers of two sizes ...
(char-index char string) ISLISP: returns nil: List.elemIndex char string: Haskell (returns Just index) returns Nothing: String.index string char: OCaml: raises Not_found: position = SCAN (string, set «, back» «, kind») position = VERIFY (string, set «, back» «, kind») Fortran: returns zero string indexOf: char ifAbsent: aBlock string ...
In image processing, a kernel, convolution matrix, or mask is a small matrix used for blurring, sharpening, embossing, edge detection, and more. This is accomplished by doing a convolution between the kernel and an image. Or more simply, when each pixel in the output image is a function of the nearby pixels (including itself) in the input image ...