Compute the maximum value of a one-dimensional double-precision floating-point ndarray.
Python
0
0
Apache License 2.0
This project provides a function to compute the maximum value of a one-dimensional double-precision floating-point ndarray. It is part of stdlib, a JavaScript library focused on numerical and scientific computing, and is intended for developers working with numerical data in JavaScript or Node.js environments.
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Support the dependencies of stdlib-js/stats-base-ndarray-dmax
Test if a value is an Error object.
Common symbols and type definitions shared across base BLAS APIs.
C utilities for retrieving Node-API add-on callback arguments.
Convert a double-precision floating-point number to a Node-API value.
C utilities for registering Node-API modules.
Return the underlying data buffer of a provided ndarray.
C API for validating, extracting, and transforming (to native C types) function arguments provided to an ndarray Node-API add-on interface.
Return the size (i.e., number of elements) of a specified dimension for a provided ndarray.
Return the index offset specifying the underlying buffer index of the first iterated ndarray element.
Return the stride along a specified dimension for a provided ndarray.
Multidimensional array constructor.
Calculate the maximum value of a double-precision floating-point strided array.
stdlib TypeScript type declarations.
Load a manifest for compiling source files.
Wrap `require` in a try/catch block.
Float64Array.
Check if the runtime is a web browser.
Test if a double-precision floating-point numeric value is NaN.
Test if a double-precision floating-point numeric value is positive zero.
Exponential function.
Return the number of bytes per element for a provided underlying ndarray data type.
Base multidimensional array.
Serialize ndarray meta data.
List of ndarray data types.
List of ndarray index modes.
List of ndarray orders.
Convert an ndarray to a generic array.
Create an array containing pseudorandom numbers drawn from a discrete uniform distribution.
Create an array containing pseudorandom numbers drawn from a continuous uniform distribution.
Insert supplied variable values into a format string.
Proxies nodejs require in order to allow overriding dependencies during testing.
tap-producing test harness for node and browsers
Yet another JS code coverage tool that computes statement, line, function and branch coverage with module loader hooks to transparently add coverage when running tests. Supports all JS coverage use cases including unit tests, server side functional tests and browser tests. Built for scale
Minimal TAP output formatter.
Benchmark harness.
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