/* * @license Apache-2.0 * * Copyright (c) 2025 The Stdlib Authors. * * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. */ // TypeScript Version: 4.1 /// import { ArrayLike } from '@stdlib/types/array'; import { typedndarray } from '@stdlib/types/ndarray'; /** * Input ndarray. */ type InputArray = typedndarray; /** * Output ndarray. */ type OutputArray = typedndarray; /** * Additional ndarray arguments. */ type AdditionalArray = typedndarray; /** * ndarray arguments. */ type ListOfArrays = [ InputArray, OutputArray, ...Array> ]; /** * ndarrays arguments passed to reduction function. */ type ReductionArrays = [ InputArray, ...Array> ]; /** * Callback invoked for each ndarray element. * * @returns output value */ type Nullary = ( this: ThisArg ) => W; /** * Callback invoked for each ndarray element. * * @param value - current array element * @returns output value */ type Unary = ( this: ThisArg, value: T ) => W; /** * Callback invoked for each ndarray element. * * @param value - current array element * @param indices - current array element indices * @returns output value */ type Binary = ( this: ThisArg, value: T, indices: Array ) => W; /** * Callback invoked for each ndarray element. * * @param value - current array element * @param indices - current array element indices * @param arr - input array * @returns output value */ type Ternary = ( this: ThisArg, value: T, indices: Array, arr: typedndarray ) => W; /** * Callback invoked for each ndarray element. * * @param value - current array element * @param indices - current array element indices * @param arr - input array * @returns output value */ type Callback = Nullary | Unary | Binary | Ternary; /** * Unary reduction function. * * @param arrays - list of ndarrays * @param clbk - callback function * @returns reduction result */ type UnaryReductionFcn = ( arrays: [ typedndarray ], clbk: Callback ) => U; /** * Unary reduction function. * * @param arrays - list of ndarrays * @param options - function options * @param clbk - callback function * @returns reduction result */ type UnaryReductionFcnWithOptions = ( arrays: [ typedndarray ], options: Object, clbk: Callback ) => U; /** * Reduction function. * * @param arrays - list of ndarrays * @param clbk - callback function * @returns reduction result */ type ReductionFcn = ( arrays: ReductionArrays, clbk: Callback ) => U; /** * Reduction function. * * @param arrays - list of ndarrays * @param options - function options * @param clbk - callback function * @returns reduction result */ type ReductionFcnWithOptions = ( arrays: ReductionArrays, options: Object, clbk: Callback ) => U; /** * Reduction function. * * @param arrays - list of ndarrays * @param options - function options * @param clbk - callback function * @returns reduction result */ type Reduction = UnaryReductionFcn | UnaryReductionFcnWithOptions | ReductionFcn | ReductionFcnWithOptions; /** * Performs a reduction over a list of specified dimensions in an input ndarray according to a callback function and assigns results to a provided output ndarray. * * @param fcn - reduction function * @param arrays - array-like object containing ndarrays * @param dims - list of dimensions over which to perform a reduction * @param clbk - callback function * @param thisArg - callback execution context * * @example * var Float64Array = require( '@stdlib/array/float64' ); * var filled = require( '@stdlib/array/base/filled' ); * var ndarray2array = require( '@stdlib/ndarray/base/to-array' ); * var everyBy = require( '@stdlib/ndarray/base/every-by' ); * * function clbk( value ) { * return value > 0.0; * } * * // Create data buffers: * var xbuf = new Float64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 0.0, 7.0, 8.0, 9.0, 10.0, 11.0, 12.0 ] ); * var ybuf = filled( false, 3 ); * * // Define the array shapes: * var xsh = [ 1, 3, 2, 2 ]; * var ysh = [ 1, 3 ]; * * // Define the array strides: * var sx = [ 12, 4, 2, 1 ]; * var sy = [ 3, 1 ]; * * // Define the index offsets: * var ox = 0; * var oy = 0; * * // Create an input ndarray-like object: * var x = { * 'dtype': 'float64', * 'data': xbuf, * 'shape': xsh, * 'strides': sx, * 'offset': ox, * 'order': 'row-major' * }; * * // Create an output ndarray-like object: * var y = { * 'dtype': 'generic', * 'data': ybuf, * 'shape': ysh, * 'strides': sy, * 'offset': oy, * 'order': 'row-major' * }; * * // Perform a reduction: * unaryReduceSubarrayBy( everyBy, [ x, y ], [ 2, 3 ], clbk ); * * var arr = ndarray2array( y.data, y.shape, y.strides, y.offset, y.order ); * // returns [ [ true, false, true ] ] */ declare function unaryReduceSubarrayBy( fcn: Reduction, arrays: ListOfArrays, dims: ArrayLike, clbk: Callback, thisArg?: ThisParameterType> ): void; /** * Performs a reduction over a list of specified dimensions in an input ndarray according to a callback function and assigns results to a provided output ndarray. * * @param fcn - reduction function * @param arrays - array-like object containing ndarrays * @param dims - list of dimensions over which to perform a reduction * @param options - function options * @param clbk - callback function * @param thisArg - callback execution context * * @example * var Float64Array = require( '@stdlib/array/float64' ); * var filled = require( '@stdlib/array/base/filled' ); * var ndarray2array = require( '@stdlib/ndarray/base/to-array' ); * var everyBy = require( '@stdlib/ndarray/base/every-by' ); * * function clbk( value ) { * return value > 0.0; * } * * // Create data buffers: * var xbuf = new Float64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 0.0, 7.0, 8.0, 9.0, 10.0, 11.0, 12.0 ] ); * var ybuf = filled( false, 3 ); * * // Define the array shapes: * var xsh = [ 1, 3, 2, 2 ]; * var ysh = [ 1, 3 ]; * * // Define the array strides: * var sx = [ 12, 4, 2, 1 ]; * var sy = [ 3, 1 ]; * * // Define the index offsets: * var ox = 0; * var oy = 0; * * // Create an input ndarray-like object: * var x = { * 'dtype': 'float64', * 'data': xbuf, * 'shape': xsh, * 'strides': sx, * 'offset': ox, * 'order': 'row-major' * }; * * // Create an output ndarray-like object: * var y = { * 'dtype': 'generic', * 'data': ybuf, * 'shape': ysh, * 'strides': sy, * 'offset': oy, * 'order': 'row-major' * }; * * // Perform a reduction: * unaryReduceSubarrayBy( everyBy, [ x, y ], [ 2, 3 ], clbk ); * * var arr = ndarray2array( y.data, y.shape, y.strides, y.offset, y.order ); * // returns [ [ true, false, true ] ] */ declare function unaryReduceSubarrayBy( fcn: Reduction, arrays: ListOfArrays, dims: ArrayLike, options: Object, clbk: Callback, thisArg?: ThisParameterType> ): void; // EXPORTS // export = unaryReduceSubarrayBy;