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In computer programming, duplicate code is a sequence of source code that occurs more than once, either within a program or across different programs owned or maintained by the same entity. Duplicate code is generally considered undesirable for a number of reasons. [ 1 ]
"Don't repeat yourself" (DRY), also known as "duplication is evil", is a principle of software development aimed at reducing repetition of information which is likely to change, replacing it with abstractions that are less likely to change, or using data normalization which avoids redundancy in the first place.
The following is a list of the 172 most common word duplicates (number after word is count of occurrences) extracted from a search of all English Wikipedia articles existing on 21 February 2006. Most punctuation was automatically removed and so the count is unlikely to be 100% accurate.
By allowing a false positive rate for the duplicates, the communication volume can be reduced further as the PEs don't have to send elements with duplicated hashes at all and instead any element with a duplicated hash can simply be marked as a duplicate. As a result, the false positive rate for duplicate detection is the same as the false ...
For example, log scales may give a height of 1 for a value of 10 in the data and a height of 6 for a value of 1,000,000 (10 6) in the data. Log scales and variants are commonly used, for instance, for the volcanic explosivity index, the Richter scale for earthquakes, the magnitude of stars, and the pH of acidic and alkaline solutions.
Detecting duplicates is pretty simple. I'm doing this in python. You just create a set(), check to see if a name is already in the set, and if not, add it. Easy peasy. But, when I ran some sanity checks on the output (using jq, sort, and uniq -c), ⁿᵘˡˡ (and a few other non-ascii names) kept showing up as being there multiple times.
For example, the individual components of a differential white blood cell count must all add up to 100, because each is a percentage of the total. Data that is embedded in narrative text (e.g., interview transcripts) must be manually coded into discrete variables that a statistical or machine-learning package can deal with.
Reduplication can convey emphasis or repetition, for example mate "die", matemate "die in numbers"; and de-emphasis, for example wera "hot" and werawera "warm". Reduplication can also extend the meaning of a word; for instance paki "pat" becomes papaki "slap or clap once" and pakipaki "applaud"; kimo "blink" becomes kikimo "close eyes firmly"