mirror of
https://github.com/danbulant/introductionToProgramming
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534 lines
17 KiB
Java
534 lines
17 KiB
Java
package common;
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/******************************************************************************
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* Compilation: javac StdStats.java
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* Execution: java StdStats < input.txt
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* Dependencies: StdOut.java
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*
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* Library of statistical functions.
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*
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* The test client reads an array of real numbers from standard
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* input, and computes the minimum, mean, maximum, and
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* standard deviation.
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*
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* The functions all throw a java.lang.IllegalArgumentException
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* if the array passed in as an argument is null.
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*
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* The floating-point functions all return NaN if any input is NaN.
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*
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* Unlike Math.min() and Math.max(), the min() and max() functions
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* do not differentiate between -0.0 and 0.0.
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*
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* % more tiny.txt
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* 5
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* 3.0 1.0 2.0 5.0 4.0
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*
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* % java StdStats < tiny.txt
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* min 1.000
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* mean 3.000
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* max 5.000
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* std dev 1.581
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*
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* Should these functions use varargs instead of array arguments?
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*
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******************************************************************************/
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/**
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* The {@code StdStats} class provides static methods for computing
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* statistics such as min, max, mean, sample standard deviation, and
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* sample variance.
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* <p>
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* For additional documentation, see
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* <a href="https://introcs.cs.princeton.edu/22library">Section 2.2</a> of
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* <i>Computer Science: An Interdisciplinary Approach</i>
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* by Robert Sedgewick and Kevin Wayne.
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*
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* @author Robert Sedgewick
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* @author Kevin Wayne
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*/
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public final class StdStats {
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private StdStats() { }
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/**
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* Returns the maximum value in the specified array.
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*
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* @param a the array
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* @return the maximum value in the array {@code a[]};
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* {@code Double.NEGATIVE_INFINITY} if no such value
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*/
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public static double max(double[] a) {
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validateNotNull(a);
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double max = Double.NEGATIVE_INFINITY;
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for (int i = 0; i < a.length; i++) {
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if (Double.isNaN(a[i])) return Double.NaN;
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if (a[i] > max) max = a[i];
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}
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return max;
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}
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/**
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* Returns the maximum value in the specified subarray.
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*
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* @param a the array
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* @param lo the left endpoint of the subarray (inclusive)
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* @param hi the right endpoint of the subarray (exclusive)
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* @return the maximum value in the subarray {@code a[lo..hi)};
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* {@code Double.NEGATIVE_INFINITY} if no such value
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* @throws IllegalArgumentException if {@code a} is {@code null}
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* @throws IllegalArgumentException unless {@code (0 <= lo) && (lo < hi) && (hi <= a.length)}
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*/
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public static double max(double[] a, int lo, int hi) {
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validateNotNull(a);
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validateSubarrayIndices(lo, hi, a.length);
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double max = Double.NEGATIVE_INFINITY;
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for (int i = lo; i < hi; i++) {
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if (Double.isNaN(a[i])) return Double.NaN;
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if (a[i] > max) max = a[i];
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}
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return max;
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}
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/**
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* Returns the maximum value in the specified array.
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*
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* @param a the array
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* @return the maximum value in the array {@code a[]};
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* {@code Integer.MIN_VALUE} if no such value
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*/
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public static int max(int[] a) {
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validateNotNull(a);
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int max = Integer.MIN_VALUE;
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for (int i = 0; i < a.length; i++) {
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if (a[i] > max) max = a[i];
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}
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return max;
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}
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/**
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* Returns the minimum value in the specified array.
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*
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* @param a the array
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* @return the minimum value in the array {@code a[]};
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* {@code Double.POSITIVE_INFINITY} if no such value
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*/
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public static double min(double[] a) {
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validateNotNull(a);
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double min = Double.POSITIVE_INFINITY;
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for (int i = 0; i < a.length; i++) {
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if (Double.isNaN(a[i])) return Double.NaN;
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if (a[i] < min) min = a[i];
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}
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return min;
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}
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/**
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* Returns the minimum value in the specified subarray.
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*
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* @param a the array
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* @param lo the left endpoint of the subarray (inclusive)
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* @param hi the right endpoint of the subarray (exclusive)
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* @return the maximum value in the subarray {@code a[lo..hi)};
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* {@code Double.POSITIVE_INFINITY} if no such value
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* @throws IllegalArgumentException if {@code a} is {@code null}
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* @throws IllegalArgumentException unless {@code (0 <= lo) && (lo < hi) && (hi <= a.length)}
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*/
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public static double min(double[] a, int lo, int hi) {
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validateNotNull(a);
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validateSubarrayIndices(lo, hi, a.length);
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double min = Double.POSITIVE_INFINITY;
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for (int i = lo; i < hi; i++) {
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if (Double.isNaN(a[i])) return Double.NaN;
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if (a[i] < min) min = a[i];
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}
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return min;
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}
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/**
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* Returns the minimum value in the specified array.
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*
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* @param a the array
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* @return the minimum value in the array {@code a[]};
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* {@code Integer.MAX_VALUE} if no such value
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*/
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public static int min(int[] a) {
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validateNotNull(a);
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int min = Integer.MAX_VALUE;
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for (int i = 0; i < a.length; i++) {
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if (a[i] < min) min = a[i];
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}
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return min;
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}
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/**
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* Returns the average value in the specified array.
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*
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* @param a the array
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* @return the average value in the array {@code a[]};
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* {@code Double.NaN} if no such value
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*/
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public static double mean(double[] a) {
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validateNotNull(a);
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if (a.length == 0) return Double.NaN;
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double sum = sum(a);
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return sum / a.length;
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}
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/**
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* Returns the average value in the specified subarray.
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*
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* @param a the array
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* @param lo the left endpoint of the subarray (inclusive)
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* @param hi the right endpoint of the subarray (exclusive)
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* @return the average value in the subarray {@code a[lo..hi)};
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* {@code Double.NaN} if no such value
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* @throws IllegalArgumentException if {@code a} is {@code null}
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* @throws IllegalArgumentException unless {@code (0 <= lo) && (lo < hi) && (hi <= a.length)}
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*/
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public static double mean(double[] a, int lo, int hi) {
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validateNotNull(a);
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validateSubarrayIndices(lo, hi, a.length);
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int length = hi - lo;
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if (length == 0) return Double.NaN;
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double sum = sum(a, lo, hi);
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return sum / length;
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}
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/**
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* Returns the average value in the specified array.
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*
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* @param a the array
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* @return the average value in the array {@code a[]};
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* {@code Double.NaN} if no such value
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*/
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public static double mean(int[] a) {
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validateNotNull(a);
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if (a.length == 0) return Double.NaN;
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int sum = sum(a);
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return 1.0 * sum / a.length;
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}
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/**
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* Returns the sample variance in the specified array.
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*
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* @param a the array
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* @return the sample variance in the array {@code a[]};
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* {@code Double.NaN} if no such value
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*/
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public static double var(double[] a) {
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validateNotNull(a);
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if (a.length == 0) return Double.NaN;
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double avg = mean(a);
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double sum = 0.0;
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for (int i = 0; i < a.length; i++) {
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sum += (a[i] - avg) * (a[i] - avg);
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}
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return sum / (a.length - 1);
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}
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/**
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* Returns the sample variance in the specified subarray.
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*
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* @param a the array
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* @param lo the left endpoint of the subarray (inclusive)
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* @param hi the right endpoint of the subarray (exclusive)
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* @return the sample variance in the subarray {@code a[lo..hi)};
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* {@code Double.NaN} if no such value
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* @throws IllegalArgumentException if {@code a} is {@code null}
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* @throws IllegalArgumentException unless {@code (0 <= lo) && (lo < hi) && (hi <= a.length)}
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*/
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public static double var(double[] a, int lo, int hi) {
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validateNotNull(a);
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validateSubarrayIndices(lo, hi, a.length);
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int length = hi - lo;
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if (length == 0) return Double.NaN;
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double avg = mean(a, lo, hi);
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double sum = 0.0;
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for (int i = lo; i < hi; i++) {
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sum += (a[i] - avg) * (a[i] - avg);
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}
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return sum / (length - 1);
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}
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/**
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* Returns the sample variance in the specified array.
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*
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* @param a the array
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* @return the sample variance in the array {@code a[]};
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* {@code Double.NaN} if no such value
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*/
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public static double var(int[] a) {
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validateNotNull(a);
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if (a.length == 0) return Double.NaN;
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double avg = mean(a);
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double sum = 0.0;
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for (int i = 0; i < a.length; i++) {
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sum += (a[i] - avg) * (a[i] - avg);
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}
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return sum / (a.length - 1);
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}
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/**
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* Returns the population variance in the specified array.
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*
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* @param a the array
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* @return the population variance in the array {@code a[]};
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* {@code Double.NaN} if no such value
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*/
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public static double varp(double[] a) {
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validateNotNull(a);
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if (a.length == 0) return Double.NaN;
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double avg = mean(a);
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double sum = 0.0;
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for (int i = 0; i < a.length; i++) {
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sum += (a[i] - avg) * (a[i] - avg);
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}
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return sum / a.length;
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}
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/**
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* Returns the population variance in the specified subarray.
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*
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* @param a the array
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* @param lo the left endpoint of the subarray (inclusive)
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* @param hi the right endpoint of the subarray (exclusive)
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* @return the population variance in the subarray {@code a[lo..hi)};
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* {@code Double.NaN} if no such value
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* @throws IllegalArgumentException if {@code a} is {@code null}
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* @throws IllegalArgumentException unless {@code (0 <= lo) && (lo < hi) && (hi <= a.length)}
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*/
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public static double varp(double[] a, int lo, int hi) {
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validateNotNull(a);
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validateSubarrayIndices(lo, hi, a.length);
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int length = hi - lo;
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if (length == 0) return Double.NaN;
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double avg = mean(a, lo, hi);
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double sum = 0.0;
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for (int i = lo; i < hi; i++) {
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sum += (a[i] - avg) * (a[i] - avg);
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}
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return sum / length;
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}
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/**
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* Returns the sample standard deviation in the specified array.
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*
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* @param a the array
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* @return the sample standard deviation in the array {@code a[]};
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* {@code Double.NaN} if no such value
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*/
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public static double stddev(double[] a) {
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validateNotNull(a);
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return Math.sqrt(var(a));
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}
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/**
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* Returns the sample standard deviation in the specified array.
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*
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* @param a the array
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* @return the sample standard deviation in the array {@code a[]};
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* {@code Double.NaN} if no such value
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*/
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public static double stddev(int[] a) {
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validateNotNull(a);
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return Math.sqrt(var(a));
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}
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/**
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* Returns the sample standard deviation in the specified subarray.
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*
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* @param a the array
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* @param lo the left endpoint of the subarray (inclusive)
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* @param hi the right endpoint of the subarray (exclusive)
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* @return the sample standard deviation in the subarray {@code a[lo..hi)};
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* {@code Double.NaN} if no such value
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* @throws IllegalArgumentException if {@code a} is {@code null}
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* @throws IllegalArgumentException unless {@code (0 <= lo) && (lo < hi) && (hi <= a.length)}
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*/
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public static double stddev(double[] a, int lo, int hi) {
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validateNotNull(a);
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validateSubarrayIndices(lo, hi, a.length);
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return Math.sqrt(var(a, lo, hi));
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}
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/**
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* Returns the population standard deviation in the specified array.
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*
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* @param a the array
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* @return the population standard deviation in the array;
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* {@code Double.NaN} if no such value
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*/
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public static double stddevp(double[] a) {
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validateNotNull(a);
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return Math.sqrt(varp(a));
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}
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/**
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* Returns the population standard deviation in the specified subarray.
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*
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* @param a the array
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* @param lo the left endpoint of the subarray (inclusive)
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* @param hi the right endpoint of the subarray (exclusive)
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* @return the population standard deviation in the subarray {@code a[lo..hi)};
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* {@code Double.NaN} if no such value
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* @throws IllegalArgumentException if {@code a} is {@code null}
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* @throws IllegalArgumentException unless {@code (0 <= lo) && (lo < hi) && (hi <= a.length)}
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*/
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public static double stddevp(double[] a, int lo, int hi) {
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validateNotNull(a);
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validateSubarrayIndices(lo, hi, a.length);
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return Math.sqrt(varp(a, lo, hi));
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}
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/**
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* Returns the sum of all values in the specified array.
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*
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* @param a the array
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* @return the sum of all values in the array {@code a[]};
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* {@code 0.0} if no such value
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*/
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private static double sum(double[] a) {
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validateNotNull(a);
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double sum = 0.0;
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for (int i = 0; i < a.length; i++) {
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sum += a[i];
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}
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return sum;
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}
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/**
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* Returns the sum of all values in the specified subarray.
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*
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* @param a the array
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* @param lo the left endpoint of the subarray (inclusive)
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* @param hi the right endpoint of the subarray (exclusive)
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* @return the sum of all values in the subarray {@code a[lo..hi)};
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* {@code 0.0} if no such value
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* @throws IllegalArgumentException if {@code a} is {@code null}
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* @throws IllegalArgumentException unless {@code (0 <= lo) && (lo < hi) && (hi <= a.length)}
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*/
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private static double sum(double[] a, int lo, int hi) {
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validateNotNull(a);
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validateSubarrayIndices(lo, hi, a.length);
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double sum = 0.0;
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for (int i = lo; i < hi; i++) {
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sum += a[i];
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}
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return sum;
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}
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/**
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* Returns the sum of all values in the specified array.
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*
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* @param a the array
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* @return the sum of all values in the array {@code a[]};
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* {@code 0.0} if no such value
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*/
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private static int sum(int[] a) {
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validateNotNull(a);
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int sum = 0;
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for (int i = 0; i < a.length; i++) {
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sum += a[i];
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}
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return sum;
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}
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/**
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* Plots the points (0, <em>a</em><sub>0</sub>), (1, <em>a</em><sub>1</sub>), ...,
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* (<em>n</em>-1, <em>a</em><sub><em>n</em>-1</sub>) to standard draw.
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*
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* @param a the array of values
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*/
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public static void plotPoints(double[] a) {
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validateNotNull(a);
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int n = a.length;
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StdDraw.setXscale(-1, n);
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StdDraw.setPenRadius(1.0 / (3.0 * n));
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for (int i = 0; i < n; i++) {
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StdDraw.point(i, a[i]);
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}
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}
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/**
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* Plots the line segments connecting
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* (<em>i</em>, <em>a</em><sub><em>i</em></sub>) to
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* (<em>i</em>+1, <em>a</em><sub><em>i</em>+1</sub>) for
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* each <em>i</em> to standard draw.
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*
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* @param a the array of values
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*/
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public static void plotLines(double[] a) {
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validateNotNull(a);
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int n = a.length;
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StdDraw.setXscale(-1, n);
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StdDraw.setPenRadius();
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for (int i = 1; i < n; i++) {
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StdDraw.line(i-1, a[i-1], i, a[i]);
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}
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}
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/**
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* Plots bars from (0, <em>a</em><sub><em>i</em></sub>) to
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* (<em>a</em><sub><em>i</em></sub>) for each <em>i</em>
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* to standard draw.
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*
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* @param a the array of values
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*/
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public static void plotBars(double[] a) {
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validateNotNull(a);
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int n = a.length;
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StdDraw.setXscale(-1, n);
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for (int i = 0; i < n; i++) {
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StdDraw.filledRectangle(i, a[i]/2, 0.25, a[i]/2);
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}
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}
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// throw an IllegalArgumentException if x is null
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// (x is either of type double[] or int[])
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private static void validateNotNull(Object x) {
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if (x == null)
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throw new IllegalArgumentException("argument is null");
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}
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// throw an exception unless 0 <= lo <= hi <= length
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private static void validateSubarrayIndices(int lo, int hi, int length) {
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if (lo < 0 || hi > length || lo > hi)
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throw new IllegalArgumentException("subarray indices out of bounds: [" + lo + ", " + hi + ")");
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}
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/**
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* Unit tests {@code StdStats}.
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* Convert command-line arguments to array of doubles and call various methods.
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*
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* @param args the command-line arguments
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*/
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public static void main(String[] args) {
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double[] a = StdArrayIO.readDouble1D();
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StdOut.printf(" min %10.3f\n", min(a));
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StdOut.printf(" mean %10.3f\n", mean(a));
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StdOut.printf(" max %10.3f\n", max(a));
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StdOut.printf(" stddev %10.3f\n", stddev(a));
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StdOut.printf(" var %10.3f\n", var(a));
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StdOut.printf(" stddevp %10.3f\n", stddevp(a));
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StdOut.printf(" varp %10.3f\n", varp(a));
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}
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}
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