#              , (and prefix '!' means excluding, '%' means reviving)
# table: table name (hint) or $$ALL$$
# column: column name (hint) or $$CommonColumn$$ or $$VersionNo$$
#
# Example:
# map:{
#     # This means that String includes GreaterThan at MEMBER.MEMBER_ACCOUNT only
#     # and LessThan at PRODUCT.PRODUCT_NAME and PRODUCT.PRODUCT_HANDLE_CODE,

    * У запитах і відповідях це буде оброблено так само, як і `float`.
* Ви можете перевірити всі дійсні типи даних Pydantic тут: [типи даних Pydantic](https://docs.pydantic.dev/latest/usage/types/types/).

## Приклад { #example }

Ось приклад *операції шляху* з параметрами, використовуючи деякі з вищезазначених типів.

{* ../../docs_src/extra_data_types/tutorial001_an_py310.py hl[1,3,12:16] *}

    sent to the client.

    Read more about it in the
    [FastAPI docs for Background Tasks](https://fastapi.tiangolo.com/tutorial/background-tasks/).

    ## Example

    ```python
    from fastapi import BackgroundTasks, FastAPI

    app = FastAPI()


    def write_notification(email: str, message=""):
        with open("log.txt", mode="w") as email_file:

one containing this README). You can omit the variable if you unpack it into /usr/local/go, or if you rebuild from sources by running all.bash (see doc/install.html). You should also add the Go binary directory $GOROOT/bin to your shell's path. For example, if you extracted the tar file into $HOME/go, you might put the following in your .profile: export GOROOT=$HOME/go export PATH=$PATH:$GOROOT/bin See doc/install.html for more details....

 * The Curl class provides a simple interface for creating HTTP requests using various HTTP methods.
 * It includes static methods for each HTTP method that return a CurlRequest object.
 *
 * <p>Example usage:</p>
 * <pre>
 * CurlRequest request = Curl.get("http://example.com");
 * </pre>
 *
 * <p>Supported HTTP methods:</p>
 * <ul>
 *   <li>GET</li>
 *   <li>POST</li>
 *   <li>PUT</li>
 *   <li>DELETE</li>
 *   <li>HEAD</li>

   * b)} is true if and only if {@code equivalence.equivalent(function.apply(a), function.apply(b))}
   * is true.
   *
   * <p>For example:
   *
   * {@snippet :
   * Equivalence<Person> SAME_AGE = Equivalence.equals().onResultOf(GET_PERSON_AGE);
   * }
   *
   * <p>{@code function} will never be invoked with a null value.
   *

   * unless the value is {@code null}.
   *
   * <p>Any existing entry spanning either range boundary may be split at the boundary, even if the
   * merge does not affect its value. For example, if {@code rangeMap} had one entry {@code [1, 5]
   * => 3} then {@code rangeMap.merge(Range.closed(0,2), 3, Math::max)} could yield a map with the
   * entries {@code [0, 1) => 3, [1, 2] => 3, (2, 5] => 3}.
   *

<p>
Constants are of the form <code>const_<i>name</i></code>.
For example, given the Go declaration <code>const bufSize =
1024</code>, assembly code can refer to the value of this constant
as <code>const_bufSize</code>.
</p>

<p>
Field offsets are of the form <code><i>type</i>_<i>field</i></code>.
Struct sizes are of the form <code><i>type</i>__size</code>.
For example, consider the following Go definition:
</p>

<pre>

   * Creates an empty {@code Set} that uses identity to determine equality. It compares object
   * references, instead of calling {@code equals}, to determine whether a provided object matches
   * an element in the set. For example, {@code contains} returns {@code false} when passed an
   * object that equals a set member, but isn't the same instance. This behavior is similar to the
   * way {@code IdentityHashMap} handles key lookups.
   *

MinIO versioning is designed to keep multiple versions of an object in one bucket. For example, you could store `spark.csv` (version `ede336f2`) and `spark.csv` (version `fae684da`) in a single bucket. Versioning protects you from unintended overwrites, deletions, protect objects with retention policies.