Since Go does not ignoreNaNin equality comparison they should not be ignored. I think it is only consistent if[1]float64and other float arrays behave like their element type. Go does not ignoremath.NaN < X(variable X) but always evaluates to false. Therefor it makes sense for[1]float64...
V547. Expression is always true/false. V548. TYPE X[][] is not equivalent to TYPE **X. Consider inspecting type casting. V549. The 'first' argument of 'Foo' function is equal to the 'second' argument. V550. Suspicious precise comparison. Consider using a comparison with defined precisio...
array_search(mixed$needle,array$haystack,bool$strict=false):int|string|false Searches forneedleinhaystack. Parameters needle The searched value. Note: Ifneedleis a string, the comparison is done in a case-sensitive manner. haystack The array. ...
/* The libhamt core data structure is a handle to a hash array-mapped trie */ /* Function signature definitions for key comparison and hashing */ typedef int (*hamt_cmp_fn)(const void *lhs, const void *rhs); typedef uint32_t (*hamt_key_hash_fn)(const void *key, const size_t...
In this formula, you add up the elements of the first two arrays (which are the conditions you want to test), and get TRUE (>0) if at least one condition evaluates to TRUE; FALSE (0) when all the conditions evaluates to FALSE. Then, IF checks if the result of addition is greater...
Using loose equality comparisons are generally frowned upon in JavaScript. Laravel only performs "loose" comparisons by default and offer several "strict" comparison methods. These methods have not been implemented in collect.js because all methods are strict by default....
Those processing elements which require access (i.e. have the indication flag set) compare the transmitted address with the address to which they require access, and if the comparison indicates that the same address is to be accessed, those processing elements register the transaction ID for that...
(CLAC) [6], Hidden Markov Model methods [7,8], and Bayesian segmentation approaches [9,10]. Among these algorithms, Circular Binary Segmentation (CBS) [11] has the best operational characteristics in terms of its sensitivity and false discovery rate (FDR) for change-point detection [12,13]...
Deriving robust estimates of skewness and kurtosis from aCGH data is a critical step before using the eXtreme model, since estimating bias and variations may lead to incorrect approximations of maximal-t distribution and increase false positive or negative. In addition to the noise from microarray ex...
From a probabilistic perspective, we know 𝑃𝑇𝑃+𝑃𝑇𝑁=1PTP+PTN=1 and 𝑃𝐹𝑃+𝑃𝐹𝑁=1PFP+PFN=1, where the probability of FP is also called false alarm (FA) probability, so only TP and FP situations need to be addressed. Therefore, 𝑃𝐹𝐴PFA of the SR-MME...