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List of regular expression libraries Name Official website Programming language Software license Used by Boost.Regex [Note 1] Boost C++ Libraries: C++: Boost: Notepad++ >= 6.0.0, EmEditor: Boost.Xpressive Boost C++ Libraries: C++ Boost DEELX RegExLab: C++ Proprietary FREJ [Note 2] Fuzzy Regular Expressions for Java: Java: LGPL GLib/GRegex [Note 3]
More generally, an equation E=F between regular-expression terms with variables holds if, and only if, its instantiation with different variables replaced by different symbol constants holds. [30] [31] Every regular expression can be written solely in terms of the Kleene star and set unions over finite words. This is a surprisingly difficult ...
Here, 0 is a single value pattern. Now, whenever f is given 0 as argument the pattern matches and the function returns 1. With any other argument, the matching and thus the function fail. As the syntax supports alternative patterns in function definitions, we can continue the definition extending it to take more generic arguments:
Each word you see in a page's content (a title's content) is already in an index, where it points to all its other prearranged results. A word is indexed to a list of page names, where it is seen in the text, or it is seen in the title only. Each indexed word is seen as a string of alphabetic characters a-z, or; a string of digits 0-9, or
In Python, functions are first-class objects that can be created and passed around dynamically. Python's limited support for anonymous functions is the lambda construct. An example is the anonymous function which squares its input, called with the argument of 5:
California Gov. Gavin Newsom ordered state agencies to recommend ways to reduce health harms and limit the purchase of candy, soda and other ultra-processed foods.
Oklahoma death row inmate Kevin Ray Underwood is a day away from execution in the brutal 2006 rape and murder of a 10-year-old girl. Underwood, 44, is set to be executed by lethal injection on ...
The idea of skip-gram is that the vector of a word should be close to the vector of each of its neighbors. The idea of CBOW is that the vector-sum of a word's neighbors should be close to the vector of the word. In the original publication, "closeness" is measured by softmax, but the framework allows other ways to measure closeness.