}
          });
  static final CacheStats EMPTY_STATS = new CacheStats(0, 0, 0, 0, 0, 0);

  /*
   * We avoid using a method reference or lambda here for now:
   *
   * - method reference: Inside Google, CacheBuilder is used from the implementation of a custom
   *   ClassLoader that is sometimes used as a system classloader. That's a problem because

  /*
   * If we make these calls inline inside toImmutableSortedMultiset, we get an Animal Sniffer error,
   * despite the @IgnoreJRERequirement annotation there. My assumption is that, because javac
   * generates a synthetic method for the body of the lambda, the actual method calls that Animal
   * Sniffer is flagging don't appear inside toImmutableSortedMultiset but rather inside that

شما پایتون استاندارد را با استفاده از تایپ ها مینویسید:

```Python
from datetime import date

from pydantic import BaseModel

# Declare a variable as a str
# and get editor support inside the function
def main(user_id: str):
    return user_id


# A Pydantic model
class User(BaseModel):
    id: int
    name: str
    joined: date
```

که سپس میتوان به این شکل از آن استفاده کرد:

```

</div>

/// note

The command `uvicorn main:app` refers to:

* `main`: the file `main.py` (the Python "module").
* `app`: the object created inside of `main.py` with the line `app = FastAPI()`.

It is equivalent to:

```Python
from main import app
```

///

   * listeners are also applicable to heavyweight functions passed to this method. (Specifically,
   * {@code directExecutor} functions should avoid heavyweight operations inside {@code
   * AsyncFunction.apply}. Any heavyweight operations should occur in other threads responsible for
   * completing the returned {@code Future}.)
   *

///

```Python hl_lines="31"
{!> ../../docs_src/security/tutorial002.py!}
```

////

Notice that we declare the type of `current_user` as the Pydantic model `User`.

This will help us inside of the function with all the completion and type checks.

/// tip

You might remember that request bodies are also declared with Pydantic models.

Here **FastAPI** won't get confused because you are using `Depends`.

		errorResponse      APIErrorResponse
		shouldPass         bool
	},
) {
	for i, testCase := range testCases {
		// initialize httptest Recorder, this records any mutations to response writer inside the handler.
		rec := httptest.NewRecorder()
		// construct HTTP request
		req, err := newTestSignedRequestV4(testCase.method, getBucketLifecycleURL("", testCase.bucketName),

	zip64        bool  // zip64 extended information extra field presence
}

// OpenReader will open the Zip file specified by name and return a ReadCloser.
//
// If any file inside the archive uses a non-local name
// (as defined by [filepath.IsLocal]) or a name containing backslashes
// and the GODEBUG environment variable contains `zipinsecurepath=0`,

After this, the client and the server have an **encrypted TCP connection**, this is what TLS provides. And then they can use that connection to start the actual **HTTP communication**.

And that's what **HTTPS** is, it's just plain **HTTP** inside a **secure TLS connection** instead of a pure (unencrypted) TCP connection.

/// tip

Notice that the encryption of the communication happens at the **TCP level**, not at the HTTP level.

///

	}

	return openNetns, nil
}

// AddPodToMesh adds a pod to mesh by
// 1. Getting the netns
// 2. Adding the pod's IPs to the hostnetns ipsets for node probe checks
// 3. Creating iptables rules inside the pod's netns
// 4. Notifying ztunnel via GRPC to create a proxy for the pod
//
// You may ask why we pass the pod IPs separately from the pod manifest itself (which contains the pod IPs as a field)