feat:node-modules

node_modules/mathjs/lib/esm/function/statistics/min.js

@@ -0,0 +1,105 @@
+import { containsCollections, deepForEach, reduce } from '../../utils/collection.js';
+import { factory } from '../../utils/factory.js';
+import { safeNumberType } from '../../utils/number.js';
+import { improveErrorMessage } from './utils/improveErrorMessage.js';
+var name = 'min';
+var dependencies = ['typed', 'config', 'numeric', 'smaller'];
+export var createMin = /* #__PURE__ */factory(name, dependencies, _ref => {
+  var {
+    typed,
+    config,
+    numeric,
+    smaller
+  } = _ref;
+  /**
+   * Compute the minimum value of a matrix or a  list of values.
+   * In case of a multidimensional array, the minimum of the flattened array
+   * will be calculated. When `dim` is provided, the minimum over the selected
+   * dimension will be calculated. Parameter `dim` is zero-based.
+   *
+   * Syntax:
+   *
+   *     math.min(a, b, c, ...)
+   *     math.min(A)
+   *     math.min(A, dimension)
+   *
+   * Examples:
+   *
+   *     math.min(2, 1, 4, 3)                  // returns 1
+   *     math.min([2, 1, 4, 3])                // returns 1
+   *
+   *     // minimum over a specified dimension (zero-based)
+   *     math.min([[2, 5], [4, 3], [1, 7]], 0) // returns [1, 3]
+   *     math.min([[2, 5], [4, 3], [1, 7]], 1) // returns [2, 3, 1]
+   *
+   *     math.max(2.7, 7.1, -4.5, 2.0, 4.1)    // returns 7.1
+   *     math.min(2.7, 7.1, -4.5, 2.0, 4.1)    // returns -4.5
+   *
+   * See also:
+   *
+   *    mean, median, max, prod, std, sum, variance
+   *
+   * @param {... *} args  A single matrix or or multiple scalar values
+   * @return {*} The minimum value
+   */
+  return typed(name, {
+    // min([a, b, c, d, ...])
+    'Array | Matrix': _min,
+    // min([a, b, c, d, ...], dim)
+    'Array | Matrix, number | BigNumber': function Array__Matrix_number__BigNumber(array, dim) {
+      return reduce(array, dim.valueOf(), _smallest);
+    },
+    // min(a, b, c, d, ...)
+    '...': function _(args) {
+      if (containsCollections(args)) {
+        throw new TypeError('Scalar values expected in function min');
+      }
+      return _min(args);
+    }
+  });
+
+  /**
+   * Return the smallest of two values
+   * @param {*} x
+   * @param {*} y
+   * @returns {*} Returns x when x is smallest, or y when y is smallest
+   * @private
+   */
+  function _smallest(x, y) {
+    try {
+      return smaller(x, y) ? x : y;
+    } catch (err) {
+      throw improveErrorMessage(err, 'min', y);
+    }
+  }
+
+  /**
+   * Recursively calculate the minimum value in an n-dimensional array
+   * @param {Array} array
+   * @return {number} min
+   * @private
+   */
+  function _min(array) {
+    var min;
+    deepForEach(array, function (value) {
+      try {
+        if (isNaN(value) && typeof value === 'number') {
+          min = NaN;
+        } else if (min === undefined || smaller(value, min)) {
+          min = value;
+        }
+      } catch (err) {
+        throw improveErrorMessage(err, 'min', value);
+      }
+    });
+    if (min === undefined) {
+      throw new Error('Cannot calculate min of an empty array');
+    }
+
+    // make sure returning numeric value: parse a string into a numeric value
+    if (typeof min === 'string') {
+      min = numeric(min, safeNumberType(min, config));
+    }
+    return min;
+  }
+});