* underlying (implementation specific) data structures to be shared.
 *
 * <p>The size of the data structure used by ArrayBasedCharEscaper and ArrayBasedUnicodeEscaper is
 * proportional to the highest valued character that has a replacement. For example a replacement
 * map containing the single character '{@literal \}u1000' will require approximately 16K of memory.

 * This class uses JUnit 5 for testing.
 */
class MsrpcDfsRootEnumTest {

    /**
     * Test the constructor of MsrpcDfsRootEnum.
     * Verifies that the object is initialized with the correct default values.
     */
    @Test
    void testConstructor() {
        // Given
        String serverName = "test-server";

        // When
        MsrpcDfsRootEnum dfsRootEnum = new MsrpcDfsRootEnum(serverName);

        // The BigInteger implementation is tested separately, use it as the reference.
        // Promote the int value (rather than using intValue() on the expected value) to avoid
        // any risk of truncation which could lead to a false positive.
        assertEquals(BigIntegerMath.sqrt(valueOf(x), mode), valueOf(IntMath.sqrt(x, mode)));
      }
    }
  }

  /* Relies on the correctness of sqrt(int, FLOOR). */

    @Test
    void testReadParameterWordsWireFormat_bufDataStartIsNotZero() {
        // Test case when bufDataStart is not 0.
        response.bufDataStart = 50; // Initial non-zero value
        byte[] buffer = new byte[37]; // 3 reserved + 8*4 bytes for int4 values + 2 bytes for setupCount
        int bufferIndex = 0;

        // Reserved bytes
        buffer[bufferIndex++] = 0x00;
        buffer[bufferIndex++] = 0x00;

    }

    @ParameterizedTest
    @ValueSource(strings = { "192.168.0", "abcd", "192.168" })
    void isDotQuadIPRejectsNonDotQuad(String value) {
        assertFalse(UniAddress.isDotQuadIP(value), "isDotQuadIP should return false for non IP-like values");
    }

    @Test
    void isDotQuadIPHandlesEmptyString() {
        // Empty string should return false, not throw exception

The first type parameter is for the keys of the `dict`.

The second type parameter is for the values of the `dict`:

{* ../../docs_src/python_types/tutorial008_py310.py hl[1] *}

This means:

* The variable `prices` is a `dict`:
    * The keys of this `dict` are of type `str` (let's say, the name of each item).
    * The values of this `dict` are of type `float` (let's say, the price of each item).

#### Union { #union }

    public BigInteger apply(Integer from) {
      BigInteger v = BigInteger.valueOf(from);
      // Math.sin is very slow for values outside 4*pi
      // Need to take absolute value to avoid inverting the value.
      for (double i = 0; i < 100; i += 20) {
        v =
            v.add(
                v.multiply(
                    BigInteger.valueOf(((Double) Math.abs(Math.sin(i) * 10.0)).longValue())));
      }
      return v;

    public BigInteger apply(Integer from) {
      BigInteger v = BigInteger.valueOf(from);
      // Math.sin is very slow for values outside 4*pi
      // Need to take absolute value to avoid inverting the value.
      for (double i = 0; i < 100; i += 20) {
        v =
            v.add(
                v.multiply(
                    BigInteger.valueOf(((Double) Math.abs(Math.sin(i) * 10.0)).longValue())));
      }
      return v;

 * <p>The views returned by {@link #column}, {@link #columnKeySet()}, and {@link #columnMap()} have
 * iterators that don't support {@code remove()}. Otherwise, all optional operations are supported.
 * Null row keys, columns keys, and values are not supported.
 *
 * <p>Lookups by row key are often faster than lookups by column key, because the data is stored in
 * a {@code Map<R, Map<C, V>>}. A method call like {@code column(columnKey).get(rowKey)} still runs

 * <p>The views returned by {@link #column}, {@link #columnKeySet()}, and {@link #columnMap()} have
 * iterators that don't support {@code remove()}. Otherwise, all optional operations are supported.
 * Null row keys, columns keys, and values are not supported.
 *
 * <p>Lookups by row key are often faster than lookups by column key, because the data is stored in
 * a {@code Map<R, Map<C, V>>}. A method call like {@code column(columnKey).get(rowKey)} still runs