ysjj-system/node_modules/mathjs/lib/cjs/function/matrix/apply.js

"use strict";

Object.defineProperty(exports, "__esModule", {
  value: true
});
exports.createApply = void 0;
var _factory = require("../../utils/factory.js");
var _array = require("../../utils/array.js");
var _is = require("../../utils/is.js");
var _IndexError = require("../../error/IndexError.js");
var name = 'apply';
var dependencies = ['typed', 'isInteger'];
var createApply = /* #__PURE__ */(0, _factory.factory)(name, dependencies, function (_ref) {
  var typed = _ref.typed,
    isInteger = _ref.isInteger;
  /**
   * Apply a function that maps an array to a scalar
   * along a given axis of a matrix or array.
   * Returns a new matrix or array with one less dimension than the input.
   *
   * Syntax:
   *
   *     math.apply(A, dim, callback)
   *
   * Where:
   *
   * - `dim: number` is a zero-based dimension over which to concatenate the matrices.
   *
   * Examples:
   *
   *    const A = [[1, 2], [3, 4]]
   *    const sum = math.sum
   *
   *    math.apply(A, 0, sum)             // returns [4, 6]
   *    math.apply(A, 1, sum)             // returns [3, 7]
   *
   * See also:
   *
   *    map, filter, forEach
   *
   * @param {Array | Matrix} array   The input Matrix
   * @param {number} dim             The dimension along which the callback is applied
   * @param {Function} callback      The callback function that is applied. This Function
   *                                 should take an array or 1-d matrix as an input and
   *                                 return a number.
   * @return {Array | Matrix} res    The residual matrix with the function applied over some dimension.
   */
  return typed(name, {
    'Array | Matrix, number | BigNumber, function': function ArrayMatrixNumberBigNumberFunction(mat, dim, callback) {
      if (!isInteger(dim)) {
        throw new TypeError('Integer number expected for dimension');
      }
      var size = Array.isArray(mat) ? (0, _array.arraySize)(mat) : mat.size();
      if (dim < 0 || dim >= size.length) {
        throw new _IndexError.IndexError(dim, size.length);
      }
      if ((0, _is.isMatrix)(mat)) {
        return mat.create(_apply(mat.valueOf(), dim, callback));
      } else {
        return _apply(mat, dim, callback);
      }
    }
  });
});

/**
 * Recursively reduce a matrix
 * @param {Array} mat
 * @param {number} dim
 * @param {Function} callback
 * @returns {Array} ret
 * @private
 */
exports.createApply = createApply;
function _apply(mat, dim, callback) {
  var i, ret, tran;
  if (dim <= 0) {
    if (!Array.isArray(mat[0])) {
      return callback(mat);
    } else {
      tran = _switch(mat);
      ret = [];
      for (i = 0; i < tran.length; i++) {
        ret[i] = _apply(tran[i], dim - 1, callback);
      }
      return ret;
    }
  } else {
    ret = [];
    for (i = 0; i < mat.length; i++) {
      ret[i] = _apply(mat[i], dim - 1, callback);
    }
    return ret;
  }
}

/**
 * Transpose a matrix
 * @param {Array} mat
 * @returns {Array} ret
 * @private
 */
function _switch(mat) {
  var I = mat.length;
  var J = mat[0].length;
  var i, j;
  var ret = [];
  for (j = 0; j < J; j++) {
    var tmp = [];
    for (i = 0; i < I; i++) {
      tmp.push(mat[i][j]);
    }
    ret.push(tmp);
  }
  return ret;
}