If you have an older version, you would get errors when trying to use `Annotated`.

Make sure you [Upgrade the FastAPI version](../../deployment/versions.md#upgrading-the-fastapi-versions){.internal-link target=_blank} to at least 0.95.1 before using `Annotated`.

///

### Import `Depends` { #import-depends }

{* ../../docs_src/dependencies/tutorial001_an_py310.py hl[3] *}

            Arrays.fill(largeHashAlgos, PreauthIntegrityNegotiateContext.HASH_ALGO_SHA512);
            byte[] largeSalt = new byte[1024];
            Arrays.fill(largeSalt, (byte) 0xAB);

            PreauthIntegrityNegotiateContext context = new PreauthIntegrityNegotiateContext(mockConfig, largeHashAlgos, largeSalt);

            // Act
            byte[] buffer = new byte[context.size()];

        }
        return null;
    }

    /**
     * Get a DFS referral for the specified target
     *
     * @param tf the CIFS context
     * @param trans the SMB transport
     * @param target the target path
     * @param targetDomain the target domain
     * @param targetHost the target host
     * @param root the DFS root
     * @param path the DFS path

import org.jetbrains.dokka.gradle.DokkaTaskPartial
import org.jetbrains.kotlin.gradle.dsl.JvmTarget
import org.jetbrains.kotlin.gradle.dsl.kotlinExtension
import org.jetbrains.kotlin.gradle.targets.jvm.tasks.KotlinJvmTest
import org.jetbrains.kotlin.gradle.tasks.KotlinCompile
import ru.vyarus.gradle.plugin.animalsniffer.AnimalSnifferExtension
import java.net.URI

buildscript {
  dependencies {

    chmod +x /go/bin/mc

RUN if [ "$TARGETARCH" = "amd64" ]; then \
       curl -L -s -q https://github.com/moparisthebest/static-curl/releases/latest/download/curl-${TARGETARCH} -o /go/bin/curl; \
       chmod +x /go/bin/curl; \
    fi

# Verify binary signature using public key "RWTx5Zr1tiHQLwG9keckT0c45M3AGeHD6IvimQHpyRywVWGbP1aVSGavRUN"

 * body.
 *
 * ### The response body can be consumed only once.
 *
 * This class may be used to stream very large responses. For example, it is possible to use this
 * class to read a response that is larger than the entire memory allocated to the current process.
 * It can even stream a response larger than the total storage on the current device, which is a
 * common requirement for video streaming applications.
 *

Here we'll see an example using <a href="https://sqlmodel.tiangolo.com/" class="external-link" target="_blank">SQLModel</a>.

**SQLModel** is built on top of <a href="https://www.sqlalchemy.org/" class="external-link" target="_blank">SQLAlchemy</a> and Pydantic. It was made by the same author of **FastAPI** to be the perfect match for FastAPI applications that need to use **SQL databases**.

				},
			}

			var err error
			globalLambdaTargetList, err = lambda.FetchEnabledTargets(context.Background(), cfg, http.DefaultTransport.(*http.Transport))
			if err != nil {
				t.Fatalf("failed to load lambda targets: %v", err)
			}

			getLambdaEventData = func(_, _ string, _ auth.Credentials, _ *http.Request) (levent.Event, error) {
				return levent.Event{
					GetObjectContext: &levent.GetObjectContext{

위 내용이 다소 추상적일 수도 있지만, 걱정마세요. [자습서 - 사용자 안내서](tutorial/index.md){.internal-link target=_blank}에서 전부 확인 가능합니다.

가장 중요한 건, 표준 파이썬 타입을 한 곳에서(클래스를 더하거나, 데코레이터 사용하는 대신) 사용함으로써 **FastAPI**가 당신을 위해 많은 일을 해준다는 사실이죠.

/// info | 정보

만약 모든 자습서를 다 보았음에도 타입에 대해서 더 보고자 방문한 경우에는 <a href="https://mypy.readthedocs.io/en/latest/cheat_sheet_py3.html" class="external-link" target="_blank">`mypy`에서 제공하는 "cheat sheet"</a>이 좋은 자료가 될 겁니다.

    }

    char[] array = new char[size];
    string.getChars(0, len, array, 0);
    int n;
    for (n = len; n < size - n; n <<= 1) {
      System.arraycopy(array, 0, array, n, n);
    }
    System.arraycopy(array, 0, array, n, size - n);
    return new String(array);
  }

  /**