Binomial distribution constructor.
detect when tap output is finished
Apply a callback to elements in an input ndarray and assign results to elements in a new output ndarray.
Create a filled four-dimensional nested array.
Create a filled five-dimensional nested array according to a provided callback function.
Test if a value is an uppercase string.
Create a double-precision floating-point vector (i.e., a one-dimensional ndarray).
Return the index of the last element which equals a provided search element according to the same value algorithm.
The Assertion Tool is designed to enhance your testing framework by allowing tests to continue running even when assertions fail. Instead of halting the test upon an assertion failure, it will capture the error and continue running the test suite.
An ember-addon that provides additional QUnit 2.0 assertions specific to Ember.js.
Negative binomial distribution.
Compute the sum of absolute values (L1 norm).
Flatten an array.
Calculate the arithmetic mean of a single-precision floating-point strided array using a two-pass error correction algorithm.
Test if a value is a class.
Apply a unary function to a double-precision floating-point strided input array and assign results to a double-precision floating-point strided output array.
Compute a moving maximum incrementally.
Compute the hyperbolic sine of a double-precision floating-point number.
Standard logistic function.
Return the first index of a specified search element in a double-precision floating-point strided array.
Apply a unary function to a double-precision floating-point strided input array according to a strided mask array and assign results to a double-precision floating-point strided output array.
Sort a single-precision floating-point strided array using heapsort.
F distribution differential entropy.
Double-precision floating-point NaN.