* A builder for creating immutable table instances, especially {@code public static final} tables
   * ("constant tables"). Example:
   *
   * <pre>{@code
   * static final ImmutableTable<Integer, Character, String> SPREADSHEET =
   *     new ImmutableTable.Builder<Integer, Character, String>()
   *         .put(1, 'A', "foo")
   *         .put(1, 'B', "bar")
   *         .put(2, 'A', "baz")
   *         .buildOrThrow();
   * }</pre>

* **Machine Learning**: it normally requires lots of "matrix" and "vector" multiplications. Think of a huge spreadsheet with numbers and multiplying all of them together at the same time.
* **Deep Learning**: this is a sub-field of Machine Learning, so, the same applies. It's just that there is not a single spreadsheet of numbers to multiply, but a huge set of them, and in many cases, you use a special processor to build and / or use those models.

      createConstant(APPLICATION_TYPE, "vnd.oasis.opendocument.presentation");
  public static final MediaType OPENDOCUMENT_SPREADSHEET =
      createConstant(APPLICATION_TYPE, "vnd.oasis.opendocument.spreadsheet");
  public static final MediaType OPENDOCUMENT_TEXT =
      createConstant(APPLICATION_TYPE, "vnd.oasis.opendocument.text");

  /**

application/vnd.ms-powerpoint=powerpoint\n\
application/vnd.openxmlformats-officedocument.presentationml.presentation=powerpoint\n\
application/vnd.oasis.opendocument.text=odt\n\
application/vnd.oasis.opendocument.spreadsheet=ods\n\
application/vnd.oasis.opendocument.presentation=odp\n\
application/pdf=pdf\n\
application/x-fictionbook+xml=fb2\n\
application/e-pub+zip=epub\n\
application/x-ibooks+zip=ibooks\n\
text/plain=txt\n\

     * application/vnd.openxmlformats-officedocument.presentationml.presentation=powerpoint<br>
     * application/vnd.oasis.opendocument.text=odt<br>
     * application/vnd.oasis.opendocument.spreadsheet=ods<br>
     * application/vnd.oasis.opendocument.presentation=odp<br>
     * application/pdf=pdf<br>
     * application/x-fictionbook+xml=fb2<br>
     * application/e-pub+zip=epub<br>

/**
 * Static methods to obtain {@link HashFunction} instances, and other static hashing-related
 * utilities.
 *
 * <p>A comparison of the various hash functions can be found <a
 * href="https://docs.google.com/spreadsheets/d/1_q2EVcxA2HjcrlVMbaqXwMj31h9M5-Bqj_m8vITOwwk/">here</a>.
 *
 * @author Kevin Bourrillion
 * @author Dimitris Andreou
 * @author Kurt Alfred Kluever
 * @since 11.0
 */
@ElementTypesAreNonnullByDefault

   * illustrated <a
   * href="http://unicode.org/cldr/utility/list-unicodeset.jsp?a=%5Cp%7Bwhitespace%7D">here</a>.
   * This is not the same definition used by other Java APIs. (See a <a
   * href="https://docs.google.com/spreadsheets/d/1kq4ECwPjHX9B8QUCTPclgsDCXYaj7T-FlT4tB5q3ahk/edit">comparison
   * of several definitions of "whitespace"</a>.)
   *
   * <p>All Unicode White_Space characters are on the BMP and thus supported by this API.
   *

    clarity. The 1.x API remains available in the compat.v1 module. A list of
    all symbol changes can be found
    [here](https://docs.google.com/spreadsheets/d/1FLFJLzg7WNP6JHODX5q8BDgptKafq_slHpnHVbJIteQ/edit#gid=0).
    *   API clean-up, included removing `tf.app`, `tf.flags`, and `tf.logging`
        in favor of [absl-py](https://github.com/abseil/abseil-py).