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Cascading can be implemented in terms of chaining by having the methods return the target object (receiver, this, self).However, this requires that the method be implemented this way already – or the original object be wrapped in another object that does this – and that the method not return some other, potentially useful value (or nothing if that would be more appropriate, as in setters).
Cascading can be implemented using method chaining by having the method return the current object itself. Cascading is a key technique in fluent interfaces , and since chaining is widely implemented in object-oriented languages while cascading isn't, this form of "cascading-by-chaining by returning this " is often referred to simply as "chaining".
Method cascading; Constructor (object-oriented programming) Copy constructor (C++) Covariant return type; D. Default constructor; Destructor (computer programming)
Cascading (software), an abstraction layer for Hadoop; Cascading classifiers, a multistage classification scheme; Cascading deletion, a way to handle deletions in database systems; Cascading Style Sheets (CSS), style sheet language used in markup languages like HTML; Method cascading, in object-oriented languages
YouTube originally offered videos at only one quality level, displayed at a resolution of 320×240 pixels using the Sorenson Spark codec (a variant of H.263), [29] [30] with mono MP3 audio. [31] In June 2007, YouTube added an option to watch videos in 3GP format on mobile phones. [32]
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There is no formal specification for the M3U format; it is a de facto standard.. An M3U file is a plain text file that specifies the locations of one or more media files. The file is saved with the "m3u" filename extension if the text is encoded in the local system's default non-Unicode encoding (e.g., a Windows codepage), or with the "m3u8" extension if the text is UTF-8 encoded.
Cascading is a particular case of ensemble learning based on the concatenation of several classifiers, using all information collected from the output from a given classifier as additional information for the next classifier in the cascade. Unlike voting or stacking ensembles, which are multiexpert systems, cascading is a multistage one.