}
      };

  /* Helper function to make a BigInteger value from a Long. */
  private static final Function<Long, BigInteger> TO_BIGINTEGER =
      new Function<Long, BigInteger>() {
        @Override
        public BigInteger apply(Long n) {
          return BigInteger.valueOf(n);
        }
      };

  private static final Function<Integer, Integer> NEGATE_INT =
      new Function<Integer, Integer>() {
        @Override

      Function<? super F, T> function, Supplier<F> supplier) {
    return new SupplierComposition<>(function, supplier);
  }

  private static final class SupplierComposition<
          F extends @Nullable Object, T extends @Nullable Object>
      implements Supplier<T>, Serializable {
    final Function<? super F, T> function;
    final Supplier<F> supplier;

# Get Current User { #get-current-user }

In the previous chapter the security system (which is based on the dependency injection system) was giving the *path operation function* a `token` as a `str`:

{* ../../docs_src/security/tutorial001_an_py39.py hl[12] *}

But that is still not that useful.

Let's make it give us the current user.

## Create a user model { #create-a-user-model }

First, let's create a Pydantic user model.

```

The parameter values in your function will be:

* `skip=20`: because you set it in the URL
* `limit=10`: because that was the default value

## Optional parameters { #optional-parameters }

The same way, you can declare optional query parameters, by setting their default to `None`:

{* ../../docs_src/query_params/tutorial002_py310.py hl[7] *}

#include "absl/strings/match.h"
#include "tensorflow/c/c_api_internal.h"
#include "tensorflow/c/tf_buffer_internal.h"
#include "tensorflow/core/framework/attr_value_util.h"
#include "tensorflow/core/framework/function.h"
#include "tensorflow/core/framework/function.pb.h"
#include "tensorflow/core/framework/graph_to_functiondef.h"
#include "tensorflow/core/framework/node_def.pb.h"
#include "tensorflow/core/framework/node_def_util.h"

function setupTermynal() {
    document.querySelectorAll(".use-termynal").forEach(node => {
        node.style.display = "block";
        new Termynal(node, {
            lineDelay: 500
        });
    });
    const progressLiteralStart = "---> 100%";
    const promptLiteralStart = "$ ";
    const customPromptLiteralStart = "# ";
    const termynalActivateClass = "termy";
    let termynals = [];

    function createTermynals() {

    'password': 'secret',
    'email': '******@****.***',
    'full_name': None,
}
```

#### Unpacking a `dict` { #unpacking-a-dict }

If we take a `dict` like `user_dict` and pass it to a function (or class) with `**user_dict`, Python will "unpack" it. It will pass the keys and values of the `user_dict` directly as key-value arguments.

So, continuing with the `user_dict` from above, writing:

```Python

 *  @author Victor Jonsson, http://victorjonsson.se
 *  @license MIT
 */

 *  @author Victor Jonsson, http://victorjonsson.se
 *  @license MIT
 */

		[ $v1 == 0 -a $v2 == 0 ] && return 0
		sleep 10
	done
	return 1
}

function purge() {
	rm -rf "$1"
}

function fail() {
	for i in $(seq 1 3); do
		echo "server$i log:"
		cat "${WORK_DIR}/dist-minio-server$i.log"
	done
	pkill -9 minio
	echo "FAILED"
	purge "$WORK_DIR"
	exit 1
}

function __init__() {
	echo "Initializing environment"
	mkdir -p "$WORK_DIR"