const int64_t* dims, int num_dims,
                                  TF_Status* status) {
  std::vector<int64_t> dimvec(num_dims);
  for (int i = 0; i < num_dims; ++i) {
    dimvec[i] = static_cast<int64_t>(dims[i]);
  }

  if (ctx == nullptr) {
    status->status = tensorflow::errors::InvalidArgument("Invalid Context");
    return nullptr;
  }

    status->status =
        tensorflow::errors::InvalidArgument(device_name, " unknown device.");
    return nullptr;
  }
  std::vector<int64_t> dimvec(num_dims);
  for (int i = 0; i < num_dims; ++i) {
    dimvec[i] = static_cast<int64_t>(dims[i]);
  }

  // TODO(apassos) do we need to wrap the deallocator here to make sure to sync
  // the device?
  TF_ManagedBuffer* buf =

    def create_person(person: PersonCreate) -> Any:
        db_person = Person.model_validate(person)
        return db_person

    client = TestClient(app)

    person_data = {"name": "Dive", "lastname": "Wilson"}
    response = client.post("/people/", json=person_data)
    data = response.json()
    assert response.status_code == 200, response.text
    assert data["name"] == person_data["name"]

                "id": 999,
                "name": "Dead Pond",
                "age": 30,
                "secret_name": "Dive Wilson",
            },
        )
        assert response.status_code == 200, response.text
        assert response.json() == snapshot(
            {"age": 30, "secret_name": "Dive Wilson", "id": 999, "name": "Dead Pond"}
        )

        # Read a hero
        hero_id = response.json()["id"]

        }
        catch ( GeneralSecurityException e ) {
            throw new GeneralSecurityException("Checksum failed while decrypting.");
        }
        byte[] ivec = new byte[8];
        IvParameterSpec params = new IvParameterSpec(ivec);

        SecretKeySpec skSpec = new SecretKeySpec(key.getEncoded(), "DES");
        SecretKey sk = skSpec;

        cipher.init(Cipher.DECRYPT_MODE, sk, params);

        }
      }
    }
  ]
}
```

### v1.3+ versions

Version 1.3 introduces changes to help with [faster metadata reads and updates](https://blog.min.io/minio-versioning-metadata-deep-dive/)

| Entry           | Encoding                    | Content
| ----------------|-----------------------------|----------------------------------------
| xlHeaderVersion | msgp uint                   | header version identifier

    const int64_t* dims) {
  if (num_dims != -1) {
    std::vector<tensorflow::shape_inference::DimensionHandle> dim_vec;
    dim_vec.reserve(num_dims);
    for (int i = 0; i < num_dims; ++i) {
      dim_vec.push_back(ic->MakeDim(dims[i]));
    }
    return ic->MakeShape(dim_vec);
  } else {
    return ic->UnknownShape();
  }
}

}  // namespace

In particular, an easy answer to "I just want to have mTLS everywhere, then I can think about adopting the rest of service mesh" was desired.

Other documents include:
* Deep dive on [Peer Authentication implementation](peer-authentication.md)
* Deep dive on [lifecycle](ztunnel-cni-lifecycle.md) when running on Kubernetes

## Goals

Ztunnel should:

        response = client.post(
            "/heroes/",
            json={
                "id": 9000,
                "name": "Dead Pond",
                "age": 30,
                "secret_name": "Dive Wilson",
            },
        )
        assert response.status_code == 200, response.text
        assert response.json() == snapshot(
            {"age": 30, "id": IsInt(), "name": "Dead Pond"}
        )

## Developing

If you already cloned the <a href="https://github.com/fastapi/fastapi" class="external-link" target="_blank">fastapi repository</a> and you want to deep dive in the code, here are some guidelines to set up your environment.

### Virtual environment