Compute the sum of a one-dimensional double-precision floating-point ndarray using pairwise summation.
Create a strided array function interface which performs multiple dispatch.
Compute the cumulative sum of a one-dimensional double-precision floating-point ndarray using ordinary recursive summation.
Test if an object has a specified method name.
Fréchet distribution constructor.
Compute the sum of a one-dimensional ndarray, ignoring `NaN` values and using ordinary recursive summation.
Compute the cumulative sum of a one-dimensional single-precision floating-point ndarray using an improved Kahan–Babuška algorithm.
Parser adapter for parsing YAML documents into OpenAPI 2.0 namespace.
A custom version of the handlebars package which, to improve security, does not use `eval` or `new Function`. This means that templates can't be compiled into JavaScript functions in advance and hence, rendering the templates is a lot slower.
Degenerate distribution median.
Compute the L2-norm of a complex double-precision floating-point vector.
Geometric distribution quantile function.
Compute the cumulative sum of a one-dimensional double-precision floating-point ndarray using pairwise summation.
Base (i.e., lower-level) string functions.
Parser adapter for parsing YAML documents into API Design Systems namespace.
Compute the sum of all elements in a one-dimensional single-precision floating-point ndarray using a second-order iterative Kahan–Babuška algorithm.
Parser adapter for parsing YAML documents into AsyncAPI 2.x.y namespace.
Compute the sum of a one-dimensional ndarray, ignoring `NaN` values.
Base 10 exponential function.
Compute the sum of a one-dimensional single-precision floating-point ndarray, ignoring `NaN` values and using an improved Kahan–Babuška algorithm.
Extensions to basic linear algebra subprograms (BLAS) compiled to WebAssembly.
Define non-enumerable read-only properties which expose ndarray function meta data.
Compute the sum of all elements in a one-dimensional ndarray using an improved Kahan–Babuška algorithm.
Create a zero-filled n-dimensional nested array.