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Stochastice Performance Logic is a formalism for capturing performance assumptions. It is, for example, possible to capture assumption that newer version of a function bar is faster than the previous version or that library foobar is faster than library barfoo when rendering antialiased text. The purpose of this framework is to allow evaluation of SPL formulas inside Java applications.

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package cz.cuni.mff.d3s.spl;


public class StringUtil {
  /**
   * Check if the given array contains the given value (with case-insensitive comparison).
   *
   * @param array The array
   * @param value The value to search
   * @return true if the array contains the value
   */
  public static boolean containsIgnoreCase(String[] array, String value) {
    for (String str : array) {
      if (value == null && str == null) return true;
      if (value != null && value.equalsIgnoreCase(str)) return true;
    }
    return false;
  }

  /**
   * Join an array of strings with the given separator.
   * 
   * Note: This might be replaced by utility method from commons-lang or guava someday
   * if one of those libraries is added as dependency.
   * 
   *
   * @param array     The array of strings
   * @param separator The separator
   * @return the resulting string
   */
  public static String join(String[] array, String separator) {
    int len = array.length;
    if (len == 0) return "";

    StringBuilder out = new StringBuilder();
    out.append(array[0]);
    for (int i = 1; i < len; i++) {
      out.append(separator).append(array[i]);
    }
    return out.toString();
  }
}