'use strict';

Object.defineProperty(exports, "__esModule", {
  value: true
});
exports.arraySize = arraySize;
exports.validate = validate;
exports.validateIndex = validateIndex;
exports.resize = resize;
exports.reshape = reshape;
exports.squeeze = squeeze;
exports.unsqueeze = unsqueeze;
exports.flatten = flatten;
exports.map = map;
exports.forEach = forEach;
exports.filter = filter;
exports.filterRegExp = filterRegExp;
exports.join = join;
exports.identify = identify;
exports.generalize = generalize;
exports.getArrayDataType = getArrayDataType;
exports.last = last;
exports.initial = initial;
exports.contains = contains;

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

var _is = require("./is");

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

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

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

/**
 * 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 arraySize(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;
  var len = array.length;

  if (len !== size[dim]) {
    throw new _DimensionError.DimensionError(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 _DimensionError.DimensionError(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 _DimensionError.DimensionError(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 _DimensionError.DimensionError(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
 */


function validateIndex(index, length) {
  if (!(0, _is.isNumber)(index) || !(0, _number.isInteger)(index)) {
    throw new TypeError('Index must be an integer (value: ' + index + ')');
  }

  if (index < 0 || typeof length === 'number' && index >= length) {
    throw new _IndexError.IndexError(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 (!(0, _is.isNumber)(value) || !(0, _number.isInteger)(value) || value < 0) {
      throw new TypeError('Invalid size, must contain positive integers ' + '(size: ' + (0, _string.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;
  var elem;
  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 = flatten(array);
  var newArray;

  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 _DimensionError.DimensionError(0, product(arraySize(array)), '!=');
  }

  var totalSize = 1;

  for (var sizeIndex = 0; sizeIndex < sizes.length; sizeIndex++) {
    totalSize *= sizes[sizeIndex];
  }

  if (flatArray.length !== totalSize) {
    throw new _DimensionError.DimensionError(product(sizes), product(arraySize(array)), '!=');
  }

  try {
    newArray = _reshape(flatArray, sizes);
  } catch (e) {
    if (e instanceof _DimensionError.DimensionError) {
      throw new _DimensionError.DimensionError(product(sizes), product(arraySize(array)), '!=');
    }

    throw e;
  }

  return newArray;
}
/**
 * Iteratively 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
 */


function _reshape(array, sizes) {
  // testing if there are enough elements for the requested shape
  var tmpArray = array;
  var tmpArray2; // for each dimensions starting by the last one and ignoring the first one

  for (var sizeIndex = sizes.length - 1; sizeIndex > 0; sizeIndex--) {
    var size = sizes[sizeIndex];
    tmpArray2 = []; // aggregate the elements of the current tmpArray in elements of the requested size

    var length = tmpArray.length / size;

    for (var i = 0; i < length; i++) {
      tmpArray2.push(tmpArray.slice(i * size, (i + 1) * size));
    } // set it as the new tmpArray for the next loop turn or for return


    tmpArray = tmpArray2;
  }

  return tmpArray;
}
/**
 * Squeeze a multi dimensional array
 * @param {Array} array
 * @param {Array} [size]
 * @returns {Array} returns the array itself
 */


function squeeze(array, size) {
  var s = size || arraySize(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, ii;

  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 || arraySize(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, ii;

  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 (arraySize(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 (arraySize(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
 */


function generalize(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;
}
/**
 * Check the datatype of a given object
 * This is a low level implementation that should only be used by
 * parent Matrix classes such as SparseMatrix or DenseMatrix
 * This method does not validate Array Matrix shape
 * @param {Array} array
 * @param {function} typeOf   Callback function to use to determine the type of a value
 * @return string
 */


function getArrayDataType(array, typeOf) {
  var type; // to hold type info

  var length = 0; // to hold length value to ensure it has consistent sizes

  for (var i = 0; i < array.length; i++) {
    var item = array[i];
    var isArray = Array.isArray(item); // Saving the target matrix row size

    if (i === 0 && isArray) {
      length = item.length;
    } // If the current item is an array but the length does not equal the targetVectorSize


    if (isArray && item.length !== length) {
      return undefined;
    }

    var itemType = isArray ? getArrayDataType(item, typeOf) // recurse into a nested array
    : typeOf(item);

    if (type === undefined) {
      type = itemType; // first item
    } else if (type !== itemType) {
      return 'mixed';
    } else {// we're good, everything has the same type so far
    }
  }

  return type;
}
/**
 * Return the last item from an array
 * @param array
 * @returns {*}
 */


function last(array) {
  return array[array.length - 1];
}
/**
 * Get all but the last element of array.
 */


function initial(array) {
  return array.slice(0, array.length - 1);
}
/**
 * Test whether an array or string contains an item
 * @param {Array | string} array
 * @param {*} item
 * @return {boolean}
 */


function contains(array, item) {
  return array.indexOf(item) !== -1;
}