ysjj-system/node_modules/mathjs/lib/esm/function/logical/and.js

import { createMatAlgo02xDS0 } from '../../type/matrix/utils/matAlgo02xDS0.js';
import { createMatAlgo11xS0s } from '../../type/matrix/utils/matAlgo11xS0s.js';
import { createMatAlgo14xDs } from '../../type/matrix/utils/matAlgo14xDs.js';
import { createMatAlgo06xS0S0 } from '../../type/matrix/utils/matAlgo06xS0S0.js';
import { factory } from '../../utils/factory.js';
import { createMatrixAlgorithmSuite } from '../../type/matrix/utils/matrixAlgorithmSuite.js';
import { andNumber } from '../../plain/number/index.js';
var name = 'and';
var dependencies = ['typed', 'matrix', 'equalScalar', 'zeros', 'not'];
export var createAnd = /* #__PURE__ */factory(name, dependencies, _ref => {
  var {
    typed,
    matrix,
    equalScalar,
    zeros,
    not
  } = _ref;
  var matAlgo02xDS0 = createMatAlgo02xDS0({
    typed,
    equalScalar
  });
  var matAlgo06xS0S0 = createMatAlgo06xS0S0({
    typed,
    equalScalar
  });
  var matAlgo11xS0s = createMatAlgo11xS0s({
    typed,
    equalScalar
  });
  var matAlgo14xDs = createMatAlgo14xDs({
    typed
  });
  var matrixAlgorithmSuite = createMatrixAlgorithmSuite({
    typed,
    matrix
  });

  /**
   * Logical `and`. Test whether two values are both defined with a nonzero/nonempty value.
   * For matrices, the function is evaluated element wise.
   *
   * Syntax:
   *
   *    math.and(x, y)
   *
   * Examples:
   *
   *    math.and(2, 4)   // returns true
   *
   *    a = [2, 0, 0]
   *    b = [3, 7, 0]
   *    c = 0
   *
   *    math.and(a, b)   // returns [true, false, false]
   *    math.and(a, c)   // returns [false, false, false]
   *
   * See also:
   *
   *    not, or, xor
   *
   * @param  {number | BigNumber | Complex | Unit | Array | Matrix} x First value to check
   * @param  {number | BigNumber | Complex | Unit | Array | Matrix} y Second value to check
   * @return {boolean | Array | Matrix}
   *            Returns true when both inputs are defined with a nonzero/nonempty value.
   */
  return typed(name, {
    'number, number': andNumber,
    'Complex, Complex': function ComplexComplex(x, y) {
      return (x.re !== 0 || x.im !== 0) && (y.re !== 0 || y.im !== 0);
    },
    'BigNumber, BigNumber': function BigNumberBigNumber(x, y) {
      return !x.isZero() && !y.isZero() && !x.isNaN() && !y.isNaN();
    },
    'Unit, Unit': typed.referToSelf(self => (x, y) => self(x.value || 0, y.value || 0)),
    'SparseMatrix, any': typed.referToSelf(self => (x, y) => {
      // check scalar
      if (not(y)) {
        // return zero matrix
        return zeros(x.size(), x.storage());
      }
      return matAlgo11xS0s(x, y, self, false);
    }),
    'DenseMatrix, any': typed.referToSelf(self => (x, y) => {
      // check scalar
      if (not(y)) {
        // return zero matrix
        return zeros(x.size(), x.storage());
      }
      return matAlgo14xDs(x, y, self, false);
    }),
    'any, SparseMatrix': typed.referToSelf(self => (x, y) => {
      // check scalar
      if (not(x)) {
        // return zero matrix
        return zeros(x.size(), x.storage());
      }
      return matAlgo11xS0s(y, x, self, true);
    }),
    'any, DenseMatrix': typed.referToSelf(self => (x, y) => {
      // check scalar
      if (not(x)) {
        // return zero matrix
        return zeros(x.size(), x.storage());
      }
      return matAlgo14xDs(y, x, self, true);
    }),
    'Array, any': typed.referToSelf(self => (x, y) => {
      // use matrix implementation
      return self(matrix(x), y).valueOf();
    }),
    'any, Array': typed.referToSelf(self => (x, y) => {
      // use matrix implementation
      return self(x, matrix(y)).valueOf();
    })
  }, matrixAlgorithmSuite({
    SS: matAlgo06xS0S0,
    DS: matAlgo02xDS0
  }));
});