Adobe Marketing Cloud Tag Loader Code Copyright 1996-2013 Adobe, Inc. All Rights Reserved More info available at http://www.adobe.com/solutions/digital-marketing.html End Adobe Marketing Cloud Tag Loader Code Skip to: Content | Footer Newegg.com - A great place to buy computers, computer parts, electronics, software, accessories, and DVDs online. With great prices, fast shipping, and top-rated customer service - once you know, you Newegg. If you are reading this message, Please click this link to reload this page.(Do not use your browser's "Refresh" button). Please email us if you're running the latest version of your browser and you still see this message. Newegg.com - Computer Parts, Laptops, Electronics, HDTVs, Digital Cameras and More! If you see this message, your web browser doesn't support JavaScript or JavaScript is disabled. Please enable ...
Skip to content Sign up Sign in This repository Explore Features Enterprise Blog Star 33 Fork 1 mcandre / qc /.container /.repohead Code Issues Pull Requests Wiki Pulse Graphs HTTPS Subversion You can clone with HTTPS or Subversion . Download ZIP /.repository-sidebar qc - A C port of the QuickCheck unit test framework http://www.yellosoft.us/quickcheck 86 commits 1 branch 0 releases 3 contributors C 80.4% Ruby 13.0% Makefile 6.6% C Ruby Makefile branch: master Switch branches/tags /.select-menu-header Branches Tags /.select-menu-tabs /.select-menu-filters master /.select-menu-item Nothing to show /.select-menu-list Nothing to show /.select-menu-list /.sel...
About Me Projects Articles /misc Table of Contents C Pre-Processor Magic The humble #define If-statements Pattern Matching Cast to bool!! (and negation) Iterators Forcing CPP to make multiple passes Turning multiple expansion passes into recursion Turning recursion into an iterator Learning More The C Pre-Processor (CPP) is the somewhat basic macro system used by the C programming language to implement features such as #include and #define which allow very simple text-substitutions to be carried out at compile time. In this article we abuse the humble #define to implement if-statements and iteration. Before we begin, a disclaimer: these tricks, while perfectly valid C, should not be considered good development practice and should almost certainly not be used for "real work". That said it can totally be used for fun home-automation projects ... Most C programmers...
Quickstart Concepts Howto API Clients Dashboard Support Thanks Github Riemann Previously, http://player.vimeo.com/video/38377415 Riemann aggregates events from your servers and applications with a powerful stream processing language. Send an email for every exception raised by your code. Track the latency distribution of your web app. See the top processes on any host, by memory and CPU. Combine statistics from every Riak node in your cluster and forward to Graphite. Send alerts when a key process fails to check in. Know how many users signed up right this second. Riemann provides low-latency, transient shared state for systems with many moving parts. Need a quick intro? Here's Riemann in five minutes . ( where ( or ( service # "^api" ) ( service # "^app" )) ( where ( tagged "exception" ) ( rollup 5 3600 ( email ...
CentralNotice Type system From Wikipedia, the free encyclopedia Jump to: navigation , search This article is about type systems from the point-of-view of computer programming. For a theoretical formulation, see type theory . This article includes a list of references , but its sources remain unclear because it has insufficient inline citations . Please help to improve this article by introducing more precise citations. (October 2010) It has been suggested that Gradual typing be merged into this article. ( Discuss ) Proposed since March 2014. Type systems Type safety Dynamic type-checking Static type-checking Inferred vs. Manifest Nominal vs. Structural Dependent typing Duck typing Latent typing Substructural typing Uniqueness typing Strong and weak typing v t e In programming languages , a type system is a collection of rules that assi...
CentralNotice Evaluation strategy From Wikipedia, the free encyclopedia Jump to: navigation , search Evaluation strategies Strict evaluation: Eager evaluation Applicative order Call by value Call by reference Call by address Call by sharing Call by copy-restore Non-strict evaluation Normal order Call by name Call by need: Lazy evaluation Call by macro expansion Nondeterministic strategies Full-reduction Call by future Optimistic evaluation Other Partial evaluation Remote evaluation Short-circuit evaluation v t e A programming language uses an evaluation strategy to determine when to evaluate the argument(s) of a function call (for function, also read: operation, method, or relation) and what kind of value to pass to the function. For example, call-by-value/pass-by-reference specifies that a function application evaluates the argument before it p...
CentralNotice Haskell/Understanding arrows From Wikibooks, open books for an open world < Haskell Jump to: navigation , search Understanding arrows ( Solutions ) 1 The factory and conveyor belt metaphor 2 Plethora of robots 2.1 arr 2.2 (>>>) 2.3 first 2.4 second 2.5 *** 2.6 &&& 3 Functions are arrows 4 The arrow notation 5 Maybe functor 6 Using arrows 6.1 Stream processing 6.2 Avoiding leaks 6.2.1 So what's better? 6.2.2 Static and dynamic parsers 6.2.3 Arrow combinators (robots) 6.2.4 So what do arrows buy us in all this? 7 Monads can be arrows too 8 Arrows in practice 9 See also 10 Notes 11 Acknowledgements Advanced Haskell Monoids Applicative Functors Arrow tutorial Understanding arrows Continuation passing style (CPS) Value recursion (MonadFix) Zippers Mutable objects Concurrency edit this chapter We...
CentralNotice Randomized algorithm From Wikipedia, the free encyclopedia Jump to: navigation , search Part of a series on Probabilistic data structures Bloom filter Quotient filter Skip list Random trees Random binary tree Treap Rapidly exploring random tree Related Randomized algorithm Computer science portal v t e A randomized algorithm is an algorithm that employs a degree of randomness as part of its logic. The algorithm typically uses uniformly random bits as an auxiliary input to guide its behavior, in the hope of achieving good performance in the "average case" over all possible choices of random bits. Formally, the algorithm's performance will be a random variable determined by the random bits; thus either the running time, or the output (or both) are random variables. One has to distinguish between algorithms that use th...
CentralNotice Suffix tree From Wikipedia, the free encyclopedia Jump to: navigation , search Suffix tree for the text BANANA . Each substring is terminated with special character $ . The six paths from the root to a leaf (shown as boxes) correspond to the six suffixes A$ , NA$ , ANA$ , NANA$ , ANANA$ and BANANA$ . The numbers in the leaves give the start position of the corresponding suffix. Suffix links, drawn dashed, are used during construction. In computer science , a suffix tree (also called PAT tree or, in an earlier form, position tree ) is a compressed trie containing all the suffixes of the given text as their keys and positions in the text as their values. Suffix trees allow particularly fast implementations of many important string operations. The construction of such a tree for the string takes time and space linear in the length of . Once constructed,...
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CentralNotice Hindley–Milner type system From Wikipedia, the free encyclopedia Jump to: navigation , search In type theory and functional programming , Hindley–Milner ( HM ) (also known as Damas–Milner or Damas–Hindley–Milner ) is a classical type system for the lambda calculus with parametric polymorphism , first described by J. Roger Hindley [ 1 ] and later rediscovered by Robin Milner . [ 2 ] Luis Damas contributed a close formal analysis and proof of the method in his PhD thesis. [ 3 ] [ 4 ] Among HM's more notable properties is completeness and its ability to deduce the most general type of a given program without the need of any type annotations or other hints supplied by the programmer. Algorithm W is a fast algorithm, performing type inference in almost linear time with respect to the size of the source, making it practically usable to type large programs. [ not...
From NAND to Tetris Building a Modern Computer From First Principles Home Prerequisites Syllabus Course Book Software Terms Papers Talks Cool Stuff About Team Q&A; And of the book The Elements of Computing Systems , MIT Press, By Noam Nisan and Shimon Schocken The site contains all the software tools and project materials necessary to build a general-purpose computer system from the ground up. We also provide a set of lectures designed to support a typical course on the subject. The materials are aimed at students, instructors, and self-learners. Everything is free and open-source; as long as you operate in a non-profit educational setting, you are welcome to modify and use our materials as you see fit. Nand2Tetris in a nutshell (10 minutes) : Best viewed with Designed and built by Tali Gutman © ...
Skip to content Sign up Sign in This repository Explore Features Enterprise Blog Star 69 Fork 4 prismofeverything / schmetterling /.container /.repohead Code Issues Pull Requests Pulse Graphs HTTPS Subversion You can clone with HTTPS or Subversion . Download ZIP /.repository-sidebar Debug clojure from the browser 49 commits 2 branches 0 releases 3 contributors JavaScript 91.3% Clojure 7.1% CSS 1.6% JavaScript Clojure CSS branch: master Switch branches/tags /.select-menu-header Branches Tags /.select-menu-tabs /.select-menu-filters master /.select-menu-item ritz /.select-menu-item Nothing to show /.select-menu-list Nothing to show /.select-menu-list /.select-m...