new LinkedHashMap<String, String>(
            ImmutableMap.of(
                "Hello", "World",
                "first", "second",
                "polygene", "lubricants",
                "alpha", "betical"));

    @SuppressWarnings("UseCollectionConstructor") // test of factory method
    LinkedHashMap<String, String> copy = Maps.newLinkedHashMap(map);

        new LinkedHashMap<String, String>(
            ImmutableMap.of(
                "Hello", "World",
                "first", "second",
                "polygene", "lubricants",
                "alpha", "betical"));

    @SuppressWarnings("UseCollectionConstructor") // test of factory method
    LinkedHashMap<String, String> copy = Maps.newLinkedHashMap(map);

            url_ = url;
        }

        /**
         * @return Returns the cal.
         */
        public Calendar getCal() {
            return cal;
        }

        /**
         * @param cal
         *            The cal to set.
         */
        public void setCal(final Calendar cal) {
            this.cal = cal;
        }
    }

    /**
     *
     */

 * expressed as {@code y = m * x + c} for finite {@code m} and {@code c}, unless it is a vertical
 * transformation in which case {@code x} has a constant value for all {@code y}. In the
 * non-vertical case, {@code m} is the slope of the transformation (and a horizontal transformation
 * has zero slope).
 *
 * @author Pete Gillin
 * @since 20.0
 */

   * xStats().populationVariance() > 0.0 || yStats().populationVariance() > 0.0}). The result is
   * guaranteed to be horizontal if there is variance in the {@code x} data but not the {@code y}
   * data, and vertical if there is variance in the {@code y} data but not the {@code x} data.
   *
   * <p>This fit minimizes the root-mean-square error in {@code y} as a function of {@code x}. This

         * <p>
         * This method takes into account the ordering of known qualifiers then unknown qualifiers with lexical
         * ordering.
         * <p>
         *
         * @param qualifier
         * @return an equivalent value that can be used with lexical comparison
         */
        public static String comparableQualifier(String qualifier) {

   * xStats().populationVariance() > 0.0 || yStats().populationVariance() > 0.0}). The result is
   * guaranteed to be horizontal if there is variance in the {@code x} data but not the {@code y}
   * data, and vertical if there is variance in the {@code y} data but not the {@code x} data.
   *
   * <p>This fit minimizes the root-mean-square error in {@code y} as a function of {@code x}. This

}

[data-ty] {
    display: block;
    line-height: 2;
}

[data-ty]:before {
    /* Set up defaults and ensure empty lines are displayed. */
    content: '';
    display: inline-block;
    vertical-align: middle;
}

[data-ty="input"]:before,
[data-ty-prompt]:before {
    margin-right: 0.75em;
    color: var(--color-text-subtle);
}

[data-ty="input"]:before {
    content: '$';
}

    }

    /** WAVE DASH */
    public static final char WAVE_DASH = '\u301C';

    /** FULLWIDTH TILDE */
    public static final char FULLWIDTH_TILDE = '\uFF5E';

    /** DOUBLE VERTICAL LINE */
    public static final char DOUBLE_VERTICAL_LINE = '\u2016';

    /** PARALLEL TO */
    public static final char PARALLEL_TO = '\u2225';

    /** MINUS SIGN */

Porque lo estamos pasando como un **valor a un argumento** en lugar de ponerlo en **anotaciones de tipos**, tenemos que usar `Union` incluso en Python 3.10.

Si estuviera en anotaciones de tipos podríamos haber usado la barra vertical, como:

```Python
some_variable: PlaneItem | CarItem
```