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In computing, a symbolic link (also symlink or soft link) is a file whose purpose is to point to a file or directory (called the "target") by specifying a path thereto. [ 1 ] Symbolic links are supported by POSIX and by most Unix-like operating systems , such as FreeBSD , Linux , and macOS .
Hard links can be created to files only on the same volume, i.e., within the same file system. (Different volumes may have different file systems. There is no guarantee that the target volume's file system is compatible with hard linking.) The maximum number of hard links to a single file is limited by the size of the reference counter.
Hard-coded data typically can be modified only by editing the source code and recompiling the executable, although it can be changed in memory or on disk using a debugger or hex editor. Data that is hard-coded is best suited for unchanging pieces of information, such as physical constants, version numbers, and static text elements.
In contrast, convolutional codes are typically decoded using soft-decision algorithms like the Viterbi, MAP or BCJR algorithms, which process (discretized) analog signals, and which allow for much higher error-correction performance than hard-decision decoding. Nearly all classical block codes apply the algebraic properties of finite fields ...
Numeric literals in Python are of the normal sort, e.g. 0, -1, 3.4, 3.5e-8. Python has arbitrary-length integers and automatically increases their storage size as necessary. Prior to Python 3, there were two kinds of integral numbers: traditional fixed size integers and "long" integers of arbitrary size.
Its hardlink sub-command can make hard links or list hard links associated with a file. [9] Another sub-command, reparsepoint, can query or delete reparse points, the file system objects that make up junction points, hard links, and symbolic links. [10] In addition, the following utilities can create NTFS links, even though they don't come with ...
Requests is an HTTP client library for the Python programming language. [2] [3] Requests is one of the most downloaded Python libraries, [2] with over 300 million monthly downloads. [4] It maps the HTTP protocol onto Python's object-oriented semantics. Requests's design has inspired and been copied by HTTP client libraries for other programming ...
Smalltalk, Ruby, Python, and Self are all "strongly typed" in the sense that typing errors are prevented at runtime and they do little implicit type conversion, but these languages make no use of static type checking: the compiler does not check or enforce type constraint rules.