SyncEvents                  bool          `json:"sync_events"`
	ObjectMaxVersions           int64         `json:"object_max_versions"`
}

// UnmarshalJSON - Validate SS and RRS parity when unmarshalling JSON.
func (sCfg *Config) UnmarshalJSON(data []byte) error {
	type Alias Config
	aux := &struct {
		*Alias
	}{
		Alias: (*Alias)(sCfg),
	}

	defer env.LockSetEnv()()

	// Disable merging env values with config for validation.
	env.SetEnvOff()

	// Enable env values to validate KMS.
	defer env.SetEnvOn()
	if subSys != "" {
		return validateSubSysConfig(ctx, s, subSys, objAPI)
	}

	// No sub-system passed. Validate all of them.
	for _, ss := range config.SubSystems.ToSlice() {
		if err := validateSubSysConfig(ctx, s, ss, objAPI); err != nil {
			return err

        when(otherContext.getConfig()).thenReturn(otherConfig);
        assertFalse(response.canReuse(otherContext, false));
    }

    @Test
    @DisplayName("Should validate response correctly")
    void testIsValid() throws Exception {
        // Setup valid response
        setResponseAsReceived(response);
        setPrivateField(response, "dialectRevision", 0x0311);

        assertEquals(SmbComTransaction.TRANS2_FIND_NEXT2, dst[0], "First byte must be subCommand");
        assertEquals((byte) 0x00, dst[1], "Second byte must be 0");
    }

    /**
     * Validates writeParametersWireFormat encodes values in the correct order and endianness.
     */
    @Test
    void testWriteParametersWireFormat() {
        // Given
        int sid = 0x1234;

		}
		if encodingType != testCase.encodingType {
			t.Errorf("Test %d: Expected %s, got %s", i+1, testCase.encodingType, encodingType)
		}
	}
}

// Validates extracting information for object resources.
func TestGetObjectsResources(t *testing.T) {
	testCases := []struct {
		values                     url.Values
		uploadID                   string

## Results { #results }

With just that Python type declaration, **FastAPI** will:

* Read the body of the request as JSON.
* Convert the corresponding types (if needed).
* Validate the data.
    * If the data is invalid, it will return a nice and clear error, indicating exactly where and what was the incorrect data.
* Give you the received data in the parameter `item`.

			// mime package in MinIO, which correctly encodes strings with fixed B/Q encodings,
			// avoiding S3’s heuristic-driven issues.
			//
			// For MinIO developers, decode S3 metadata with mime.WordDecoder, validate outputs,
			// report encoding bugs to AWS, and use ASCII-only metadata to ensure reliable S3 API
			// compatibility.
			if needsMimeEncoding(v) {

			[]byte("10000;chunk-signature=ad80c730a21e5b8d04586a2213dd63b9a0e99e0e2307b0ade35a65485a288648    \t \n"),
			[]byte("10000"),
			[]byte("ad80c730a21e5b8d04586a2213dd63b9a0e99e0e2307b0ade35a65485a288648"),
		},
	}
	// Validate chunk extension removal.
	for i, tt := range tests {
		// Extract chunk size and chunk signature after parsing a standard chunk-extension format.
		hexChunkSize, hexChunkSignature := parseS3ChunkExtension(tt.buf)

	// Setup and capture test results for directory with files and symlink.
	testResults = append(testResults, setupTestReadDirSymlink(t)...)

	// Remove all dirs once tests are over.
	defer teardown(testResults)

	// Validate all the results.
	for _, r := range testResults {
		if entries, err := readDir(r.dir); err != nil {
			t.Fatal("failed to run test.", err)
		} else {
			// Keep entries sorted for easier comparison.

You declare the "shape" of the data as classes with attributes.

And each attribute has a type.

Then you create an instance of that class with some values and it will validate the values, convert them to the appropriate type (if that's the case) and give you an object with all the data.

And you get all the editor support with that resulting object.

An example from the official Pydantic docs: