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 }

    "tutorial004": dedent("""
        Create an item with all the information:

        - **name**: each item must have a name
        - **description**: a long description
        - **price**: required
        - **tax**: if the item doesn't have tax, you can omit this
        - **tags**: a set of unique tag strings for this item
    """).strip(),
}

            ),
        ] = True,
        generate_unique_id_function: Annotated[
            Callable[[APIRoute], str],
            Doc(
                """
                Customize the function used to generate unique IDs for the *path
                operations* shown in the generated OpenAPI.

                This is particularly useful when automatically generating clients or
                SDKs for your API.

            }
        }
    }

    /**
     * Starts a new process with the given session ID and command list.
     * Uses default buffer size and no output callback.
     *
     * @param sessionId unique identifier for the process session
     * @param cmdList list of command and arguments to execute
     * @param pbCall callback to configure the ProcessBuilder
     * @return JobProcess representing the started process
     */

 * as well as to iterate over them. It uses a {@link MemoryDataHelper} to store the data in memory.
 *
 * <p>
 * The class uses a static {@code idCount} to generate unique IDs for each access result.
 * The {@code idCountLock} object is used to synchronize access to the {@code idCount} variable,
 * ensuring that IDs are generated in a thread-safe manner.
 * </p>
 *
 * <p>

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.

	unique, ok := columnType.Unique()
	if !ok || field.PrimaryKey {
		return nil // skip primary key
	}
	// By default, ColumnType's Unique is not affected by UniqueIndex, so we don't care about UniqueIndex.
	return m.RunWithValue(value, func(stmt *gorm.Statement) error {
		// We're currently only receiving boolean values on `Unique` tag,
		// so the UniqueConstraint name is fixed

            throw new IllegalArgumentException(
                    "Repository list contains duplicate entries. Each repository must be unique based on its ID and URL. "
                            + "Found " + repositories.size() + " repositories but only " + set.size()
                            + " unique entries.");
        }
        if (repositories.stream().anyMatch(Objects::isNull)) {
            throw new IllegalArgumentException(

    - **name**: each item must have a name
    - **description**: a long description
    - **price**: required
    - **tax**: if the item doesn't have tax, you can omit this
    - **tags**: a set of unique tag strings for this item
    \f
    :param item: User input.
    """

    - **name**: each item must have a name
    - **description**: a long description
    - **price**: required
    - **tax**: if the item doesn't have tax, you can omit this
    - **tags**: a set of unique tag strings for this item
    \f
    :param item: User input.
    """