an isolated ClassRealm which is simply an extension of the standard URLClassLoader. Mercury would be responsible for resolving and retrieving the dependencies which would then be used to populate a ClassRealm where there would be a connection to the host applications ClassRealm as the parent but the search order would be child first, and the parent ClassRealm can optionally choose to limit the searching to particular classes. The application ClassRealm, or parent ClassRealm, should only expose the...

      }
      this.path = path

      val scheme = if (socket is SSLSocket) "https" else "http"
      val localPort = socket.localPort
      val hostAndPort =
        headers[":authority"]
          ?: headers["Host"]
          ?: when (val inetAddress = socket.localAddress) {
            is Inet6Address -> "[${inetAddress.hostAddress}]:$localPort"
            else -> "${inetAddress.hostAddress}:$localPort"
          }

   *  * `example.com:443 via proxy [::1]:8888`
   *
   * This omits duplicate information when possible.
   */
  override fun toString(): String {
    return buildString {
      val addressHostname = address.url.host // Already in canonical form.
      val socketHostname = socketAddress.address?.hostAddress?.toCanonicalHost()

      when {
        ':' in addressHostname -> append("[").append(addressHostname).append("]")

RUN pip install --no-cache-dir --upgrade -r /code/requirements.txt

COPY ./app /code/app

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

# Wenn Sie hinter einem Proxy wie Nginx oder Traefik sind, fügen Sie --proxy-headers hinzu
# CMD ["uvicorn", "app.main:app", "--host", "0.0.0.0", "--port", "80", "--proxy-headers"]
```

</details>

## Was ist ein Container?

build:cuda_clang_official --action_env=CLANG_CUDA_COMPILER_PATH="/usr/lib/llvm-18/bin/clang"
build:cuda_clang_official --crosstool_top="@local_config_cuda//crosstool:toolchain"

# Build with nvcc for CUDA and clang for host
build:cuda_nvcc --config=cuda
build:cuda_nvcc --action_env=TF_NVCC_CLANG="1"
build:cuda_nvcc --@local_config_cuda//:cuda_compiler=nvcc
# Old config for backward compatibility
build:nvcc_clang --config=cuda_nvcc

	cli, err := globalSiteReplicationSys.getAdminClient(ctx, deploymentID)
	if err != nil {
		result.Error = err.Error()
		return
	}
	rp := cli.GetEndpointURL()
	reqURL := &url.URL{
		Scheme: rp.Scheme,
		Host:   rp.Host,
		Path:   reqPath,
	}
	result.Endpoint = rp.String()
	req, err := http.NewRequestWithContext(ctx, http.MethodPost, reqURL.String(), reader)
	if err != nil {
		result.Error = err.Error()
		return
	}

                     "intervalFactor": 2,
                     "legendFormat": "{{cluster}} - {{namespace}} - {{host}} - {{method}}\n"
                  }

tensorflow::ServerDef ReplaceTaskInServerDef(
    const tensorflow::ServerDef& server_def, int task_index);

void ReplaceTaskInServerDef(tensorflow::ServerDef* server_def, int task_index,
                            const std::string& host, int port);

std::vector<std::string> ListDeviceNames(TFE_Context* ctx);

        value = value.substring(1, value.length - 1)
      }

      result.add(
        Cookie.Builder()
          .name(name)
          .value(value)
          .domain(url.host)
          .build(),
      )
      pos = pairEnd + 1
    }
    return result
  }

	hosts := make([]string, len(records))
	for i, r := range records {
		hosts[i] = net.JoinHostPort(r.Host, string(r.Port))
	}
	return hosts
}

// returns an online host (and corresponding port) from a slice of DNS records
func getHostFromSrv(records []dns.SrvRecord) (host string) {
	hosts := getHostsSlice(records)
	rng := rand.New(rand.NewSource(time.Now().UTC().UnixNano()))
	var d net.Dialer