package tls

import (
	"crypto/x509"
	"runtime"
	"sync"
	"sync/atomic"
)

type cacheEntry struct {
	refs atomic.Int64
	cert *x509.Certificate
}

// certCache implements an intern table for reference counted x509.Certificates,
// implemented in a similar fashion to BoringSSL's CRYPTO_BUFFER_POOL. This
// allows for a single x509.Certificate to be kept in memory and referenced from

Mikhail Lopatkin <******@****.***> 1697226821 +0200

```

Das ist dank **Pydantic** ebenfalls möglich, da es <a href="https://pydantic-docs.helpmanual.io/usage/dataclasses/#use-of-stdlib-dataclasses-with-basemodel" class="external-link" target="_blank">`dataclasses` intern unterstützt</a>.

Auch wenn im obige Code Pydantic nicht explizit vorkommt, verwendet FastAPI Pydantic, um diese Standard-Datenklassen in Pydantics eigene Variante von Datenklassen zu konvertieren.

RUN pip install fastapi uvicorn

EXPOSE 80

COPY ./app /app

CMD ["uvicorn", "app.main:app", "--host", "0.0.0.0", "--port", "80"]
```

## Créer le code **FastAPI**.

* Créer un répertoire `app` et y entrer.
* Créez un fichier `main.py` avec :

```Python
from typing import Optional

from fastapi import FastAPI

app = FastAPI()


@app.get("/")
def read_root():
    return {"Hello": "World"}

	github.com/inconshreveable/mousetrap v1.1.0 // indirect
	github.com/jonboulle/clockwork v0.2.2 // indirect
	github.com/josharian/intern v1.0.0 // indirect
	github.com/json-iterator/go v1.1.12 // indirect
	github.com/mailru/easyjson v0.7.7 // indirect
	github.com/moby/spdystream v0.2.0 // indirect
	github.com/modern-go/concurrent v0.0.0-20180306012644-bacd9c7ef1dd // indirect
	github.com/modern-go/reflect2 v1.0.2 // indirect