.groupId(artifact.getGroupId())
                .artifactId(artifact.getArtifactId())
                .version(artifact.getBaseVersion())
                .build();
    }

    public void bind(Artifact artifact) {
        artifacts.add(artifact);
    }

    public Object getKey() {
        return getGroupId() + ':' + getArtifactId() + ':' + getVersion();
    }

from fastapi import Depends, FastAPI, HTTPException
from sqlalchemy.orm import Session

from . import crud, models, schemas
from .database import SessionLocal, engine

models.Base.metadata.create_all(bind=engine)

app = FastAPI()


# Dependency
def get_db():
    db = SessionLocal()
    try:
        yield db
    finally:
        db.close()


@app.post("/users/", response_model=schemas.User)

    return delegate!!.isConnected
  }

  override fun isClosed(): Boolean {
    return delegate!!.isClosed
  }

  @Throws(IOException::class)
  override fun bind(localAddr: SocketAddress) {
    delegate!!.bind(localAddr)
  }

  @Throws(IOException::class)
  override fun connect(remoteAddr: SocketAddress) {
    delegate!!.connect(remoteAddr)
  }

  @Throws(IOException::class)

    * 이런식으로 구니콘이 import하여 사용할 수 있는 클래스를 전달해줍니다:

        ```Python
        import uvicorn.workers.UvicornWorker
        ```

* `--bind`: 구니콘이 관찰할 IP와 포트를 의미합니다. 콜론 (`:`)을 사용하여 IP와 포트를 구분합니다.
    * 만약에 `--bind 0.0.0.0:80` (구니콘 옵션) 대신 유비콘을 직접 실행하고 싶다면 `--host 0.0.0.0`과 `--port 80`을 사용해야 합니다.

출력에서 각 프로세스에 대한 **PID** (process ID)를 확인할 수 있습니다. (단순한 숫자입니다)

출력 내용:

from fastapi import Depends, FastAPI, HTTPException, Request, Response
from sqlalchemy.orm import Session

from . import crud, models, schemas
from .database import SessionLocal, engine

models.Base.metadata.create_all(bind=engine)

app = FastAPI()


@app.middleware("http")
async def db_session_middleware(request: Request, call_next):
    response = Response("Internal server error", status_code=500)
    try:

                    snapshotMetadata = new LocalSnapshotMetadata(artifact, timestamp);
                    snapshots.put(key, snapshotMetadata);
                }
                snapshotMetadata.bind(artifact);
            }
        }

        return Collections.emptyList();
    }

    @Override
    public Artifact transformArtifact(Artifact artifact) {
        return artifact;
    }

	GroupSearchBaseDistName  string   `json:"groupSearchBaseDN"`
	GroupSearchBaseDistNames []string `json:"-"` // Generated field
	GroupSearchFilter        string   `json:"groupSearchFilter"`

	// Lookup bind LDAP service account
	LookupBindDN       string `json:"lookupBindDN"`
	LookupBindPassword string `json:"lookupBindPassword"`
}

# test cases fail within Docker, and Mac + Docker isn't quite perfect.
# For more information see: https://github.com/istio/istio/pull/19322/

BUILD_WITH_CONTAINER ?= 1
CONTAINER_OPTIONS = --mount type=bind,source=/tmp,destination=/tmp --net=host

export COMMONFILES_POSTPROCESS = tools/commonfiles-postprocess.sh

ifeq ($(BUILD_WITH_CONTAINER),1)
# create phony targets for the top-level items in the repo

        ```Python
        import uvicorn.workers.UvicornWorker
        ```

* `--bind`: Das teilt Gunicorn die IP und den Port mit, welche abgehört werden sollen, wobei ein Doppelpunkt (`:`) verwendet wird, um die IP und den Port zu trennen.
    * Wenn Sie Uvicorn direkt ausführen würden, würden Sie anstelle von `--bind 0.0.0.0:80` (die Gunicorn-Option) stattdessen `--host 0.0.0.0` und `--port 80` verwenden.

    @Inject
    public MojoExecutionScopeCoreModule() {
        super(new MojoExecutionScope());
    }

    @Override
    protected void configure() {
        super.configure();
        bind(MojoExecutionListener.class).toInstance(scope);
    }