String value2 = "b";
        String value3 = "c";
        settings.array().add(key, value1);
        settings.array().add(key, value2);
        settings.array().add(key, value3);
        assertEquals(3, settings.array().get(key).length);
        assertEquals(value1, settings.array().get(key)[0]);
        assertEquals(value2, settings.array().get(key)[1]);
        assertEquals(value3, settings.array().get(key)[2]);
    }

    @Test

		{bucketName: "------", objName: "obj", PartID: 1, expectedError: fmt.Errorf("%s", "Bucket name invalid: ------")},
		{
			bucketName: "$this-is-not-valid-too", objName: "obj", PartID: 1,
			expectedError: fmt.Errorf("%s", "Bucket name invalid: $this-is-not-valid-too"),
		},
		{bucketName: "a", objName: "obj", PartID: 1, expectedError: fmt.Errorf("%s", "Bucket name invalid: a")},
		// Test case - 5.

- Invalid archive handling
- Empty archive handling
- Mixed valid/invalid entries

**Covered Extractors**:
- ZipExtractor
- TarExtractor

**Test Count**: 12 tests

**Key Scenarios**:
- ✅ Descriptive error messages for invalid archives
- ✅ Continues processing when some entries fail
- ✅ Handles empty archives gracefully
- ✅ Mixed valid/invalid entries processed correctly
- ✅ Null input stream validation

---

			nil,
			nil,
		},
		// Test - 4 - parse the chunk reader properly.
		{
			bufio.NewReader(readers[3]),
			nil,
			[]byte("1000"),
			[]byte("111123333333333333334444211"),
		},
	}
	// Valid test cases for each chunk line.
	for i, tt := range testCases {
		chunkSize, chunkSignature, err := readChunkLine(tt.reader)
		if err != tt.expectedErr {
			t.Errorf("Test %d: Expected %s, got %s", i+1, tt.expectedErr, err)

     * Verifies that configuration properties are properly validated during initialization.
     */
    @Test
    void testInitWithCIFSException() {
        // Test with valid configuration - should initialize successfully
        Map<String, String> validParams = new HashMap<>();
        validParams.put("jcifs.smb.client.domain", "TEST_DOMAIN");

    repo,
    pull_number: pr_number
  });
  if (pr_resp.status != 200 || pr_resp.data.state != 'closed') {
    console.log(`PR:{pr_number} is not found or closed.  Not a valid condition to create an issue.`);
    console.log(pr_resp);
    throw `PR:{pr_number} needs to be valid and closed (merged)`;
  }
  const pr_title = pr_resp.data.title;
  // Assign to PR owner and reviewers

        }
    }

    @Nested
    @DisplayName("Resource Type Tests")
    class ResourceTypeTests {

        @Test
        @DisplayName("getType should return valid SMB resource type")
        void testGetType() throws CIFSException {
            // Given
            int expectedType = 1; // Assuming TYPE_FILESYSTEM
            when(mockResource.getType()).thenReturn(expectedType);

        SmbFile parent = newParent();

        FileEntry invalid = entry(invalidName, SmbConstants.TYPE_SHARE);
        FileEntry valid = entry("ok", SmbConstants.TYPE_SHARE);
        Iterator<FileEntry> delegate = Arrays.asList(invalid, valid).iterator();

        ResourceFilter f = useFilter ? filter : null;
        if (useFilter) {
            when(filter.accept(any())).thenReturn(true);
        }

// before a result is returned.
//
// Row function - An expression that depends on a value in the
// row. They have an output for each input row.
//
// Some types of a queries are not valid. For example, an aggregation
// function combined with a row function is meaningless ("AVG(s.Age) +
// s.Salary"). Analysis determines if such a scenario exists so an
// error can be returned.

var (

The same would happen if you had something like a <abbr title='A union between multiple types means "any of these types".'>union</abbr> between different types where one or more of them are not valid Pydantic types, for example this would fail 💥: