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In VBA, an assignment of variables of type Object is a shallow copy, an assignment for all other types (numeric types, String, user defined types, arrays) is a deep copy. So the keyword Set for an assignment signals a shallow copy and the (optional) keyword Let signals a deep copy. There is no built-in method for deep copies of Objects in VBA.
An ELF file has two views: the program header shows the segments used at run time, whereas the section header lists the set of sections. In computing, the Executable and Linkable Format [2] (ELF, formerly named Extensible Linking Format) is a common standard file format for executable files, object code, shared libraries, and core dumps.
VirtualBox Virtual Hard Disk file format 63 6F 6E 65 63 74 69 78: conectix: 0 vhd Windows Virtual PC Virtual Hard Disk file format [85] 76 68 64 78 66 69 6C 65: vhdxfile: 0 vhdx Windows Virtual PC Windows 8 Virtual Hard Disk file format 49 73 5A 21: IsZ! 0 isz Compressed ISO image: 44 41 41: DAA: 0 daa Direct Access Archive PowerISO 4C 66 4C 65 ...
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^ The current default format is binary. ^ The "classic" format is plain text, and an XML format is also supported. ^ Theoretically possible due to abstraction, but no implementation is included. ^ The primary format is binary, but text and JSON formats are available. [8] [9]
Folds can be regarded as consistently replacing the structural components of a data structure with functions and values. Lists, for example, are built up in many functional languages from two primitives: any list is either an empty list, commonly called nil ([]), or is constructed by prefixing an element in front of another list, creating what is called a cons node ( Cons(X1,Cons(X2,Cons ...
The BoW representation of a text removes all word ordering. For example, the BoW representation of "man bites dog" and "dog bites man" are the same, so any algorithm that operates with a BoW representation of text must treat them in the same way. Despite this lack of syntax or grammar, BoW representation is fast and may be sufficient for simple ...
Data compression aims to reduce the size of data files, enhancing storage efficiency and speeding up data transmission. K-means clustering, an unsupervised machine learning algorithm, is employed to partition a dataset into a specified number of clusters, k, each represented by the centroid of its points.