Fréchet distribution variance.
Test if a value is a 1-dimensional ndarray-like object containing single-precision floating-point numbers.
Test if a value is a cube number.
Compute the nth Lucas number.
Interchange two vectors.
Determines if an object can be used as an array
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Provides the script, test, vars and assert runtimes.
Define a non-enumerable property.
Apply a binary callback to elements in two four-dimensional nested input arrays and assign results to elements in a four-dimensional nested output array.
Apply a nullary function and assign results to elements in an output ndarray.
List of ndarray data type single letter character abbreviations.
Convert a single-precision floating-point number to an unsigned 32-bit integer.
Flatten an object.
Test if a value is an array-like object containing only null values.
Is this value a Node.js version?
Compute the sum of a one-dimensional double-precision floating-point ndarray, ignoring `NaN` values and using a second-order iterative Kahan–Babuška algorithm.
Compute the cumulative sum of a one-dimensional ndarray using an improved Kahan–Babuška algorithm.
Apply a binary function to single-precision floating-point strided input arrays and assign results to a single-precision floating-point strided output array.
Convert a strided array to a non-strided generic array.
OpenAPI response body extraction and JSON shape assertion toolkit (framework-agnostic)
Compute the sum of a one-dimensional single-precision floating-point ndarray, ignoring `NaN` values and using a second-order iterative Kahan–Babuška algorithm.
Compute the sum of the absolute values of the real and imaginary components of a double-precision complex floating-point number.
Apply a unary function to a double-precision complex floating-point strided input array and assign results to a double-precision complex floating-point strided output array.