Compute the cumulative sum of a one-dimensional single-precision floating-point ndarray using a second-order iterative Kahan–Babuška algorithm.
Request that Node.js child processes preload modules
Helps you write code with promise-like chains that can run both synchronously and asynchronously
Triangular distribution.
Calculate the sum of double-precision floating-point strided array elements, ignoring NaN values and using ordinary recursive summation.
Calculate the sum of single-precision floating-point strided array elements, ignoring NaN values and using extended accumulation.
Compute the sum of a one-dimensional ndarray, ignoring `NaN` values and using pairwise summation.
Native module for the or-tools TSP / VRP solvers
Returns `true` if an array has a glob pattern.
The lodash method `_.defaults` exported as a module.
Lévy distribution probability density function (PDF).
Returns true if a filepath exists on the file system and it's directory.
Compute the cumulative sum of a one-dimensional double-precision floating-point ndarray.
Convert a Node-API value to an unsigned 32-bit integer.
Compute the cumulative sum of a one-dimensional double-precision floating-point ndarray using a second-order iterative Kahan–Babuška algorithm.
Compile ES2015 spread to ES5
Return the last index of a specified search element in a single-precision floating-point strided array.
Solves a problem with util.format
Broadcast an input ndarray to a target shape while keeping a list of specified dimensions unchanged.
Lexer / tokenizer
Keeps track of a server's open sockets so they can be destroyed at a moment's notice.
Compute a moving sample Pearson product-moment correlation coefficient incrementally.
Compute the sum of a one-dimensional ndarray, ignoring `NaN` values and using a second-order iterative Kahan–Babuška algorithm.
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