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The client sends an HTTP request (method GET, version ≥ 1.1) and the server returns an HTTP response with status code 101 (Switching Protocols) on success.This means a WebSocket server can use the same port as HTTP (80) and HTTPS (443) because the handshake is compatible with HTTP.
Object storage (also known as object-based storage [1] or blob storage) is a computer data storage approach that manages data as "blobs" or "objects", as opposed to other storage architectures like file systems, which manage data as a file hierarchy, and block storage, which manages data as blocks within sectors and tracks. [2]
The blob URI scheme, also known as an object URL, is a Uniform Resource Identifier (URI) scheme used for accessing locally generated data via APIs designed to work only with URLs.
Connected-component labeling (CCL), connected-component analysis (CCA), blob extraction, region labeling, blob discovery, or region extraction is an algorithmic application of graph theory, where subsets of connected components are uniquely labeled based on a given heuristic. Connected-component labeling is not to be confused with segmentation.
Opaque binary blob (OBB) is a term used in network engineering and computer science to refer to a sizeable piece of data, which looks like binary garbage from outside, by entities which do not know what that blob denotes or carries, but make sense to entities which have access permission and access functions to them.
For example, by proceeding beyond the first delimiting saddle point a "grey-level blob tree" can be constructed. Moreover, the grey-level blob detection method was embedded in a scale space representation and performed at all levels of scale, resulting in a representation called the scale-space primal sketch .
Python allows operator overloading through the implementation of methods with special names. [48] For example, the addition (+) operator can be overloaded by implementing the method obj.__add__(self, other). Ruby allows operator overloading as syntactic sugar for simple method calls.
Snappy (previously known as Zippy) is a fast data compression and decompression library written in C++ by Google based on ideas from LZ77 and open-sourced in 2011. [3] [4] It does not aim for maximum compression, or compatibility with any other compression library; instead, it aims for very high speeds and reasonable compression.