// twice as many reads and writes. But benchmarking shows that they usually perform better than
    // Dolphin. Reversal is about as good as Successive on average, and it is much simpler,
    // especially since we already have a `reverse` method.
    checkNotNull(array);
    checkPositionIndexes(fromIndex, toIndex, array.length);
    if (array.length <= 1) {
      return;
    }

    checkNonnegative(expectedKeys, "expectedKeys");
    return new Builder<>(expectedKeys);
  }

  /**
   * A builder for creating immutable multimap instances, especially {@code public static final}
   * multimaps ("constant multimaps"). Example:
   *
   * {@snippet :
   * static final Multimap<String, Integer> STRING_TO_INTEGER_MULTIMAP =

    checkNonnegative(expectedKeys, "expectedKeys");
    return new Builder<>(expectedKeys);
  }

  /**
   * A builder for creating immutable {@code SetMultimap} instances, especially {@code public static
   * final} multimaps ("constant multimaps"). Example:
   *
   * {@snippet :
   * static final Multimap<String, Integer> STRING_TO_INTEGER_MULTIMAP =

   */
  public static <E extends Comparable<?>> Builder<E> naturalOrder() {
    return new Builder<>(Ordering.natural());
  }

  /**
   * A builder for creating immutable multiset instances, especially {@code public static final}
   * multisets ("constant multisets"). Example:
   *
   * {@snippet :
   * public static final ImmutableSortedMultiset<Bean> BEANS =

    checkNonnegative(expectedKeys, "expectedKeys");
    return new Builder<>(expectedKeys);
  }

  /**
   * A builder for creating immutable {@code SetMultimap} instances, especially {@code public static
   * final} multimaps ("constant multimaps"). Example:
   *
   * {@snippet :
   * static final Multimap<String, Integer> STRING_TO_INTEGER_MULTIMAP =

# Introductie tot Python Types

Python biedt ondersteuning voor optionele "type hints" (ook wel "type annotaties" genoemd).

Deze **"type hints"** of annotaties zijn een speciale syntax waarmee het <abbr title="bijvoorbeeld: str, int, float, bool">type</abbr> van een variabele kan worden gedeclareerd.

Door types voor je variabelen te declareren, kunnen editors en hulpmiddelen je beter ondersteunen.

Another big feature needed by APIs is data validation, making sure that the data is valid, given certain parameters. For example, that some field is an `int`, and not some random string. This is especially useful for incoming data.

Without a data validation system, you would have to do all the checks by hand, in code.

   * delete the file and create a directory in its place, but this leads a race condition which can
   * be exploited to create security vulnerabilities, especially when executable files are to be
   * written into the directory.
   *
   * <p>This method assumes that the temporary volume is writable, has free inodes and free blocks,

  When a "work that uses the Library" uses material from a header file
that is part of the Library, the object code for the work may be a
derivative work of the Library even though the source code is not.
Whether this is true is especially significant if the work can be
linked without the Library, or if the work is itself a library.  The
threshold for this to be true is not precisely defined by law.

That, plus the simple fact that Python is the main language for **Data Science**, Machine Learning and especially Deep Learning, make FastAPI a very good match for Data Science / Machine Learning web APIs and applications (among many others).