* Tests all enum functionality including values, valueOf, ordinal, and serialization.
 */
public class CrawlerStatusTest extends PlainTestCase {

    /**
     * Test that all expected enum values exist
     */
    public void test_enumValues() {
        CrawlerStatus[] values = CrawlerStatus.values();

        assertNotNull(values);
        assertEquals(3, values.length);

        // Verify all expected values exist

    if is_sequence_field(field) and isinstance(values, (ImmutableMultiDict, Headers)):
        value = values.getlist(alias)
    else:
        value = values.get(alias, None)
    if (
        value is None
        or (
            isinstance(field.field_info, params.Form)
            and isinstance(value, str)  # For type checks
            and value == ""
        )

* Retrieve the stored data.
* Put that data in a Pydantic model.
* Generate a `dict` without default values from the input model (using `exclude_unset`).
    * This way you can update only the values actually set by the user, instead of overriding values already stored with default values in your model.
* Create a copy of the stored model, updating its attributes with the received partial updates (using the `update` parameter).

        String value = this.connection.getHeaderField(0);
        for (int i = 1; key != null || value != null; i++) {
            List<String> values = map.get(key);
            if (values == null) {
                values = new ArrayList<>();
                map.put(key, values);
            }
            values.add(value);
            key = this.connection.getHeaderFieldKey(i);

    // For datasets of many double values, we test many combinations of finite and non-finite
    // x-values:
    for (ManyValues values : ALL_MANY_VALUES) {
      PairedStats stats = createPairedStatsOf(values.asIterable(), OTHER_MANY_VALUES);
      double populationCovariance = stats.populationCovariance();
      if (values.hasAnyNonFinite()) {

    // For datasets of many double values, we test many combinations of finite and non-finite
    // x-values:
    for (ManyValues values : ALL_MANY_VALUES) {
      PairedStats stats = createPairedStatsOf(values.asIterable(), OTHER_MANY_VALUES);
      double populationCovariance = stats.populationCovariance();
      if (values.hasAnyNonFinite()) {

    public void test_parsePath() {
        String[] values;

        values = s3Client.parsePath("bucket/path");
        assertEquals("bucket", values[0]);
        assertEquals("path", values[1]);

        values = s3Client.parsePath("bucket/path1/path2");
        assertEquals("bucket", values[0]);
        assertEquals("path1/path2", values[1]);

        values = s3Client.parsePath("bucket/");

    // Add boundary values manually to avoid over/under flow (this covers 2^N for 0 and 31).
    intValues.add(Integer.MAX_VALUE - 1, Integer.MAX_VALUE);
    // Add values up to 40. This covers cases like "square of a prime" and such.
    for (int i = 1; i <= 40; i++) {
      intValues.add(i);
    }
    // Now add values near 2^N for lots of values of N.

    public void test_parsePath() {
        String[] values;

        values = storageClient.parsePath("bucket/path");
        assertEquals("bucket", values[0]);
        assertEquals("path", values[1]);

        values = storageClient.parsePath("bucket/path1/path2");
        assertEquals("bucket", values[0]);
        assertEquals("path1/path2", values[1]);

        values = storageClient.parsePath("bucket/");

    checkNotNull(value2);
    checkArgument(!Objects.equals(value1, value2), "Duplicate value provided.");
    distinctValues.replaceValues(type, ImmutableList.of(value1, value2));
    setDefault(type, value1);
    return this;
  }

  /**
   * Tests that {@code cls} properly checks null on all constructor and method parameters that
   * aren't annotated nullable (according to the rules of {@link NullPointerTester}). In details:
   *