mathjs/lib/utils/array.js

'use strict';

Object.defineProperty(exports, "__esModule", {
  value: true
});
exports.size = size;
exports.validate = validate;
exports.resize = resize;
exports.reshape = reshape;
exports.unsqueeze = unsqueeze;
exports.flatten = flatten;
exports.map = map;
exports.forEach = forEach;
exports.filter = filter;
exports.filterRegExp = filterRegExp;
exports.join = join;
exports.identify = identify;

var _number = require('./number');

var _number2 = _interopRequireDefault(_number);

var _string = require('./string');

var _string2 = _interopRequireDefault(_string);

var _DimensionError = require('../error/DimensionError');

var _DimensionError2 = _interopRequireDefault(_DimensionError);

var _IndexError = require('../error/IndexError');

var _IndexError2 = _interopRequireDefault(_IndexError);

function _interopRequireDefault(obj) { return obj && obj.__esModule ? obj : { default: obj }; }

/**
 * Calculate the size of a multi dimensional array.
 * This function checks the size of the first entry, it does not validate
 * whether all dimensions match. (use function `validate` for that)
 * @param {Array} x
 * @Return {Number[]} size
 */
function size(x) {
  var s = [];

  while (Array.isArray(x)) {
    s.push(x.length);
    x = x[0];
  }

  return s;
}

/**
 * Recursively validate whether each element in a multi dimensional array
 * has a size corresponding to the provided size array.
 * @param {Array} array    Array to be validated
 * @param {number[]} size  Array with the size of each dimension
 * @param {number} dim   Current dimension
 * @throws DimensionError
 * @private
 */
function _validate(array, size, dim) {
  var i = void 0;
  var len = array.length;

  if (len !== size[dim]) {
    throw new _DimensionError2.default(len, size[dim]);
  }

  if (dim < size.length - 1) {
    // recursively validate each child array
    var dimNext = dim + 1;
    for (i = 0; i < len; i++) {
      var child = array[i];
      if (!Array.isArray(child)) {
        throw new _DimensionError2.default(size.length - 1, size.length, '<');
      }
      _validate(array[i], size, dimNext);
    }
  } else {
    // last dimension. none of the childs may be an array
    for (i = 0; i < len; i++) {
      if (Array.isArray(array[i])) {
        throw new _DimensionError2.default(size.length + 1, size.length, '>');
      }
    }
  }
}

/**
 * Validate whether each element in a multi dimensional array has
 * a size corresponding to the provided size array.
 * @param {Array} array    Array to be validated
 * @param {number[]} size  Array with the size of each dimension
 * @throws DimensionError
 */
function validate(array, size) {
  var isScalar = size.length === 0;
  if (isScalar) {
    // scalar
    if (Array.isArray(array)) {
      throw new _DimensionError2.default(array.length, 0);
    }
  } else {
    // array
    _validate(array, size, 0);
  }
}

/**
 * Test whether index is an integer number with index >= 0 and index < length
 * when length is provided
 * @param {number} index    Zero-based index
 * @param {number} [length] Length of the array
 */
exports.validateIndex = function (index, length) {
  if (!_number2.default.isNumber(index) || !_number2.default.isInteger(index)) {
    throw new TypeError('Index must be an integer (value: ' + index + ')');
  }
  if (index < 0 || typeof length === 'number' && index >= length) {
    throw new _IndexError2.default(index, length);
  }
};

/**
 * Resize a multi dimensional array. The resized array is returned.
 * @param {Array} array         Array to be resized
 * @param {Array.<number>} size Array with the size of each dimension
 * @param {*} [defaultValue=0]  Value to be filled in in new entries,
 *                              zero by default. Specify for example `null`,
 *                              to clearly see entries that are not explicitly
 *                              set.
 * @return {Array} array         The resized array
 */
function resize(array, size, defaultValue) {
  // TODO: add support for scalars, having size=[] ?

  // check the type of the arguments
  if (!Array.isArray(array) || !Array.isArray(size)) {
    throw new TypeError('Array expected');
  }
  if (size.length === 0) {
    throw new Error('Resizing to scalar is not supported');
  }

  // check whether size contains positive integers
  size.forEach(function (value) {
    if (!_number2.default.isNumber(value) || !_number2.default.isInteger(value) || value < 0) {
      throw new TypeError('Invalid size, must contain positive integers ' + '(size: ' + _string2.default.format(size) + ')');
    }
  });

  // recursively resize the array
  var _defaultValue = defaultValue !== undefined ? defaultValue : 0;
  _resize(array, size, 0, _defaultValue);

  return array;
}

/**
 * Recursively resize a multi dimensional array
 * @param {Array} array         Array to be resized
 * @param {number[]} size       Array with the size of each dimension
 * @param {number} dim          Current dimension
 * @param {*} [defaultValue]    Value to be filled in in new entries,
 *                              undefined by default.
 * @private
 */
function _resize(array, size, dim, defaultValue) {
  var i = void 0;
  var elem = void 0;
  var oldLen = array.length;
  var newLen = size[dim];
  var minLen = Math.min(oldLen, newLen);

  // apply new length
  array.length = newLen;

  if (dim < size.length - 1) {
    // non-last dimension
    var dimNext = dim + 1;

    // resize existing child arrays
    for (i = 0; i < minLen; i++) {
      // resize child array
      elem = array[i];
      if (!Array.isArray(elem)) {
        elem = [elem]; // add a dimension
        array[i] = elem;
      }
      _resize(elem, size, dimNext, defaultValue);
    }

    // create new child arrays
    for (i = minLen; i < newLen; i++) {
      // get child array
      elem = [];
      array[i] = elem;

      // resize new child array
      _resize(elem, size, dimNext, defaultValue);
    }
  } else {
    // last dimension

    // remove dimensions of existing values
    for (i = 0; i < minLen; i++) {
      while (Array.isArray(array[i])) {
        array[i] = array[i][0];
      }
    }

    // fill new elements with the default value
    for (i = minLen; i < newLen; i++) {
      array[i] = defaultValue;
    }
  }
}

/**
 * Re-shape a multi dimensional array to fit the specified dimensions
 * @param {Array} array           Array to be reshaped
 * @param {Array.<number>} sizes  List of sizes for each dimension
 * @returns {Array}               Array whose data has been formatted to fit the
 *                                specified dimensions
 *
 * @throws {DimensionError}       If the product of the new dimension sizes does
 *                                not equal that of the old ones
 */
function reshape(array, sizes) {
  var flatArray = exports.flatten(array);
  var newArray = void 0;

  function product(arr) {
    return arr.reduce(function (prev, curr) {
      return prev * curr;
    });
  }

  if (!Array.isArray(array) || !Array.isArray(sizes)) {
    throw new TypeError('Array expected');
  }

  if (sizes.length === 0) {
    throw new _DimensionError2.default(0, product(exports.size(array)), '!=');
  }

  try {
    newArray = _reshape(flatArray, sizes);
  } catch (e) {
    if (e instanceof _DimensionError2.default) {
      throw new _DimensionError2.default(product(sizes), product(exports.size(array)), '!=');
    }
    throw e;
  }

  if (flatArray.length > 0) {
    throw new _DimensionError2.default(product(sizes), product(exports.size(array)), '!=');
  }

  return newArray;
}

/**
 * Recursively re-shape a multi dimensional array to fit the specified dimensions
 * @param {Array} array           Array to be reshaped
 * @param {Array.<number>} sizes  List of sizes for each dimension
 * @returns {Array}               Array whose data has been formatted to fit the
 *                                specified dimensions
 *
 * @throws {DimensionError}       If the product of the new dimension sizes does
 *                                not equal that of the old ones
 */
function _reshape(array, sizes) {
  var accumulator = [];
  var i = void 0;

  if (sizes.length === 0) {
    if (array.length === 0) {
      throw new _DimensionError2.default(null, null, '!=');
    }
    return array.shift();
  }
  for (i = 0; i < sizes[0]; i += 1) {
    accumulator.push(_reshape(array, sizes.slice(1)));
  }
  return accumulator;
}

/**
 * Squeeze a multi dimensional array
 * @param {Array} array
 * @param {Array} [size]
 * @returns {Array} returns the array itself
 */
exports.squeeze = function (array, size) {
  var s = size || exports.size(array);

  // squeeze outer dimensions
  while (Array.isArray(array) && array.length === 1) {
    array = array[0];
    s.shift();
  }

  // find the first dimension to be squeezed
  var dims = s.length;
  while (s[dims - 1] === 1) {
    dims--;
  }

  // squeeze inner dimensions
  if (dims < s.length) {
    array = _squeeze(array, dims, 0);
    s.length = dims;
  }

  return array;
};

/**
 * Recursively squeeze a multi dimensional array
 * @param {Array} array
 * @param {number} dims Required number of dimensions
 * @param {number} dim  Current dimension
 * @returns {Array | *} Returns the squeezed array
 * @private
 */
function _squeeze(array, dims, dim) {
  var i = void 0,
      ii = void 0;

  if (dim < dims) {
    var next = dim + 1;
    for (i = 0, ii = array.length; i < ii; i++) {
      array[i] = _squeeze(array[i], dims, next);
    }
  } else {
    while (Array.isArray(array)) {
      array = array[0];
    }
  }

  return array;
}

/**
 * Unsqueeze a multi dimensional array: add dimensions when missing
 *
 * Paramter `size` will be mutated to match the new, unqueezed matrix size.
 *
 * @param {Array} array
 * @param {number} dims     Desired number of dimensions of the array
 * @param {number} [outer]  Number of outer dimensions to be added
 * @param {Array} [size]    Current size of array.
 * @returns {Array} returns the array itself
 * @private
 */
function unsqueeze(array, dims, outer, size) {
  var s = size || exports.size(array);

  // unsqueeze outer dimensions
  if (outer) {
    for (var i = 0; i < outer; i++) {
      array = [array];
      s.unshift(1);
    }
  }

  // unsqueeze inner dimensions
  array = _unsqueeze(array, dims, 0);
  while (s.length < dims) {
    s.push(1);
  }

  return array;
}

/**
 * Recursively unsqueeze a multi dimensional array
 * @param {Array} array
 * @param {number} dims Required number of dimensions
 * @param {number} dim  Current dimension
 * @returns {Array | *} Returns the squeezed array
 * @private
 */
function _unsqueeze(array, dims, dim) {
  var i = void 0,
      ii = void 0;

  if (Array.isArray(array)) {
    var next = dim + 1;
    for (i = 0, ii = array.length; i < ii; i++) {
      array[i] = _unsqueeze(array[i], dims, next);
    }
  } else {
    for (var d = dim; d < dims; d++) {
      array = [array];
    }
  }

  return array;
}
/**
 * Flatten a multi dimensional array, put all elements in a one dimensional
 * array
 * @param {Array} array   A multi dimensional array
 * @return {Array}        The flattened array (1 dimensional)
 */
function flatten(array) {
  if (!Array.isArray(array)) {
    // if not an array, return as is
    return array;
  }
  var flat = [];

  array.forEach(function callback(value) {
    if (Array.isArray(value)) {
      value.forEach(callback); // traverse through sub-arrays recursively
    } else {
      flat.push(value);
    }
  });

  return flat;
}

/**
 * A safe map
 * @param {Array} array
 * @param {function} callback
 */
function map(array, callback) {
  return Array.prototype.map.call(array, callback);
}

/**
 * A safe forEach
 * @param {Array} array
 * @param {function} callback
 */
function forEach(array, callback) {
  Array.prototype.forEach.call(array, callback);
}

/**
 * A safe filter
 * @param {Array} array
 * @param {function} callback
 */
function filter(array, callback) {
  if (exports.size(array).length !== 1) {
    throw new Error('Only one dimensional matrices supported');
  }

  return Array.prototype.filter.call(array, callback);
}

/**
 * Filter values in a callback given a regular expression
 * @param {Array} array
 * @param {RegExp} regexp
 * @return {Array} Returns the filtered array
 * @private
 */
function filterRegExp(array, regexp) {
  if (exports.size(array).length !== 1) {
    throw new Error('Only one dimensional matrices supported');
  }

  return Array.prototype.filter.call(array, function (entry) {
    return regexp.test(entry);
  });
}

/**
 * A safe join
 * @param {Array} array
 * @param {string} separator
 */
function join(array, separator) {
  return Array.prototype.join.call(array, separator);
}

/**
 * Assign a numeric identifier to every element of a sorted array
 * @param {Array} a  An array
 * @return {Array} An array of objects containing the original value and its identifier
 */
function identify(a) {
  if (!Array.isArray(a)) {
    throw new TypeError('Array input expected');
  }

  if (a.length === 0) {
    return a;
  }

  var b = [];
  var count = 0;
  b[0] = { value: a[0], identifier: 0 };
  for (var i = 1; i < a.length; i++) {
    if (a[i] === a[i - 1]) {
      count++;
    } else {
      count = 0;
    }
    b.push({ value: a[i], identifier: count });
  }
  return b;
}

/**
 * Remove the numeric identifier from the elements
 * @param {array} a  An array
 * @return {array} An array of values without identifiers
 */
exports.generalize = function (a) {
  if (!Array.isArray(a)) {
    throw new TypeError('Array input expected');
  }

  if (a.length === 0) {
    return a;
  }

  var b = [];
  for (var i = 0; i < a.length; i++) {
    b.push(a[i].value);
  }
  return b;
};

/**
 * Test whether an object is an array
 * @param {*} value
 * @return {boolean} isArray
 */
exports.isArray = Array.isArray;