Um mehr darüber zu erfahren, siehe den Abschnitt <a href="https://fastapi.tiangolo.com/benchmarks/" class="internal-link" target="_blank">Benchmarks</a>.

## Optionale Abhängigkeiten

            JvmVersion.java11.major.toString(),
            display = ParameterDisplay.PROMPT,
            allowEmpty = false,
            description = "Java version to run the test with"
        )
        select(
            testJvmVendorParameter,
            JvmVendor.openjdk.name,
            display = ParameterDisplay.PROMPT,
            description = "Java vendor to run the test with",

    if (existingRouteSelection != null && existingRouteSelection.hasNext()) {
      return planConnectToRoute(existingRouteSelection.next())
    }

    // Decide which proxy to use, if any. This may block in ProxySelector.select().
    var newRouteSelector = routeSelector
    if (newRouteSelector == null) {
      newRouteSelector =
        RouteSelector(
          address = address,
          routeDatabase = routeDatabase,

## Bug Fixes and Other Changes

*   TF Core:
    *   Random number generation (RNG) system
        *   Add argument `alg` to `tf.random.stateless_*` functions to
            explicitly select the RNG algorithm.
        *   Add `tf.nn.experimental.stateless_dropout`, a stateless version of
            `tf.nn.dropout`.
        *   `tf.random.Generator` now can be created inside the scope of

To import Gradle into IntelliJ:
- Open the `build.gradle.kts` file with IntelliJ and choose "Open as Project"
- Make sure "Create separate module per source set" is selected
- Make sure  "Use default gradle wrapper" is selected
- Select a Java 11 VM as "Gradle JVM"
- In the "File already exists" dialogue, choose "Yes" to overwrite
- In the "Open Project" dialogue, choose "Delete Existing Project and Import"
- Revert the Git changes to files in the `.idea` folder

    "tests",
    "fastapi"
]
context = '${CONTEXT}'
omit = [
    "docs_src/response_model/tutorial003_04.py",
    "docs_src/response_model/tutorial003_04_py310.py",
]

[tool.ruff.lint]
select = [
    "E",  # pycodestyle errors
    "W",  # pycodestyle warnings
    "F",  # pyflakes
    "I",  # isort
    "B",  # flake8-bugbear
    "C4",  # flake8-comprehensions
    "UP",  # pyupgrade
]

However, this means anytime a workload changes (often), we need to update the policy.

Instead, the opposite was chosen: each workload will list the policies that select it.
This works out to be more efficient in common cases where policies change much less often than workloads.

<img src="/img/tutorial/behind-a-proxy/image03.png">

!!! tip
    The docs UI will interact with the server that you select.

### Disable automatic server from `root_path`

If you don't want **FastAPI** to include an automatic server using the `root_path`, you can use the parameter `root_path_in_servers=False`:

```Python hl_lines="9"

# Enable TensorRT optimizations https://developer.nvidia.com/tensorrt
build:cuda_clang --config=tensorrt
build:cuda_clang --action_env=TF_CUDA_CLANG="1"
build:cuda_clang --@local_config_cuda//:cuda_compiler=clang
# Select supported compute capabilities (supported graphics cards).
# This is the same as the official TensorFlow builds.
# See https://developer.nvidia.com/cuda-gpus#compute
# `compute_XY` enables PTX embedding in addition to SASS. PTX

For deployments with [Site Replication](https://min.io/docs/minio/linux/operations/install-deploy-manage/multi-site-replication.html) configured, select metrics populate under the [Cluster Metrics](#cluster-metrics) endpoint.

| Name                                                | Description                                                                      |