if field == nil {
			t.Fatalf("%v: failed to find column %q", utils.FileWithLineNum(), fieldName)
		}
		if field.Unique != unique {
			t.Fatalf("%v: %q column %q unique should be %v but got %v", utils.FileWithLineNum(), stmt.Schema.Table, fieldName, unique, field.Unique)
		}
		if field.UniqueIndex != uniqueIndex {

In this case, you will have to ensure that each operation ID is **unique** in some other way.

For example, you could make sure that each *path operation* has a tag, and then generate the operation ID based on the **tag** and the *path operation* **name** (the function name).

### Custom Generate Unique ID Function { #custom-generate-unique-id-function }

            String nonceStr = Arrays.toString(nonce);
            assertFalse(nonces.contains(nonceStr), "Nonce should be unique");
            nonces.add(nonceStr);
        }

        // Then all nonces should be unique
        assertEquals(numNonces, nonces.size(), "All nonces should be unique");
    }

    @Test
    @DisplayName("Should generate secure nonces with proper randomness")

        faultCodes.add(DcerpcError.DCERPC_FAULT_UNK_IF);
        faultCodes.add(DcerpcError.DCERPC_FAULT_PROTO_ERROR);

        // Verify all 9 codes are unique
        assertEquals(9, faultCodes.size(), "All fault codes should be unique");
    }

    @Test
    @DisplayName("Should verify fault code value ranges and patterns")
    void testFaultCodeValueRanges() {

* Data validation.
* Automatic annotation and documentation.

## Other data types { #other-data-types }

Here are some of the additional data types you can use:

* `UUID`:
    * A standard "Universally Unique Identifier", common as an ID in many databases and systems.
    * In requests and responses will be represented as a `str`.
* `datetime.datetime`:
    * A Python `datetime.datetime`.

        assertEquals((byte) 10, FileInformation.FILE_RENAME_INFO);
    }

    /**
     * Test that constants are unique
     */
    @Test
    @DisplayName("Test FileInformation constants are unique")
    void testConstantsAreUnique() {
        byte[] constants = { FileInformation.FILE_ENDOFFILE_INFO, FileInformation.FILE_BASIC_INFO, FileInformation.FILE_STANDARD_INFO,

 * ---------------------------------------------
 * JMORRIS2        <00>  UNIQUE      Registered
 * BILLING-NY      <00>  GROUP       Registered
 * JMORRIS2        <03>  UNIQUE      Registered
 * JMORRIS2        <20>  UNIQUE      Registered
 * BILLING-NY      <1E>  GROUP       Registered
 * JMORRIS         <03>  UNIQUE      Registered
 *
 * MAC Address = 00-B0-34-21-FA-3B
 * </pre>
 *

    @DisplayName("Constants Validation Tests")
    class ConstantsValidationTests {

        @Test
        @DisplayName("All fragment flags should have unique values")
        void testFragmentFlagsUniqueness() {
            // Verify that fragment flags are unique and follow bit pattern
            assertEquals(1, Integer.bitCount(DcerpcConstants.DCERPC_FIRST_FRAG), "DCERPC_FIRST_FRAG should be a single bit");

    private final RdmaMemoryRegion memoryRegion;
    private volatile boolean completed;
    private volatile Exception error;

    /**
     * Create new RDMA work request
     *
     * @param requestId unique request identifier
     * @param type type of request
     * @param memoryRegion associated memory region
     */
    public RdmaWorkRequest(long requestId, RequestType type, RdmaMemoryRegion memoryRegion) {

And Python has a special data type for sets of unique items, the `set`.

Then we can declare `tags` as a set of strings:

{* ../../docs_src/body_nested_models/tutorial003_py310.py hl[12] *}

With this, even if you receive a request with duplicate data, it will be converted to a set of unique items.