We can use **OAuth2** to build that with **FastAPI**.

But let's save you the time of reading the full long specification just to find those little pieces of information you need.

Let's use the tools provided by **FastAPI** to handle security.

## How it looks { #how-it-looks }

Let's first just use the code and see how it works, and then we'll come back to understand what's happening.

# Swagger UI 구성

추가적인 <a href="https://swagger.io/docs/open-source-tools/swagger-ui/usage/configuration/" class="external-link" target="_blank">Swagger UI 매개변수</a>를 구성할 수 있습니다.

구성을 하려면, `FastAPI()` 앱 객체를 생성할 때 또는 `get_swagger_ui_html()` 함수에 `swagger_ui_parameters` 인수를 전달하십시오.

`swagger_ui_parameters`는 Swagger UI에 직접 전달된 구성을 포함하는 딕셔너리를 받습니다.

FastAPI는 이 구성을 **JSON** 형식으로 변환하여 JavaScript와 호환되도록 합니다. 이는 Swagger UI에서 필요로 하는 형식입니다.

## 구문 강조 비활성화

<manifest xmlns:android="http://schemas.android.com/apk/res/android"
          xmlns:tools="http://schemas.android.com/tools" package="okhttp.android.test">

  <uses-permission android:name="android.permission.INTERNET" />
  <uses-permission android:name="android.permission.ACCESS_NETWORK_STATE" />

  <application android:usesCleartextTraffic="true" tools:targetApi="m"/>

# Swagger-Oberfläche konfigurieren { #configure-swagger-ui }

Sie können einige zusätzliche <a href="https://swagger.io/docs/open-source-tools/swagger-ui/usage/configuration/" class="external-link" target="_blank">Parameter der Swagger-Oberfläche</a> konfigurieren.

Um diese zu konfigurieren, übergeben Sie das Argument `swagger_ui_parameters` beim Erstellen des `FastAPI()`-App-Objekts oder an die Funktion `get_swagger_ui_html()`.

WIP ML Build Docker container for ML repositories (Tensorflow, JAX and XLA).

This container branches off from
/tensorflow/tools/tf_sig_build_dockerfiles/. However, since
hermetic CUDA and hermetic Python is now available for Tensorflow, a lot of the
requirements installed on the original container can be removed to reduce the
footprint of the container and make it more reusable across different ML

import okhttp3.internal.unmodifiable
import okio.Buffer
import okio.BufferedSource
import okio.ByteString
import okio.Source
import okio.buffer

/**
 * Read and write HPACK v10.
 *
 * http://tools.ietf.org/html/draft-ietf-httpbis-header-compression-12
 *
 * This implementation uses an array for the dynamic table and a list for indexed entries. Dynamic

# Update the version numbers for Nightly only
if [[ "$TFCI_NIGHTLY_UPDATE_VERSION_ENABLE" == 1 ]]; then
  python3 tensorflow/tools/ci_build/update_version.py --nightly
fi

# This generates a pure python wheel of the format "*-py3-none-any.whl"
bazel run --HERMETIC_PYTHON_VERSION=3.13 //tensorflow/tools/pip_package:setup_py_binary -- bdist_wheel --dist-dir "$TFCI_OUTPUT_DIR"

# Get the name of the pure python wheel that was built. This should

        python -m pylint --rcfile=tensorflow/tools/ci_build/pylintrc --score false \
        | grep -v "**** Module" \
        | tee $BATS_TEST_TMPDIR/needs_help.txt
    [[ ! -s $BATS_TEST_TMPDIR/needs_help.txt ]]
}

@test "API compatibility test passes, ensuring no unexpected changes to the TF API" {
    bazel test $TFCI_BAZEL_COMMON_ARGS //tensorflow/tools/api/tests:api_compatibility_test

 *      </td>
 *   </tr>
 * </table>
 * <p>This is only a small set of all the options. A complete list can be found at
 * <a href="https://maven.apache.org/components/plugin-tools/maven-plugin-tools-annotations/index.html" target="_blank">
 * Maven Plugin Tool for Annotations</a>.
 *

# All required CUDA packages
cuda-compat-12-8
cuda-command-line-tools-12-8
cuda-cudart-dev-12-8
cuda-nvcc-12-8
cuda-cupti-12-8
cuda-nvprune-12-8
cuda-libraries-12-8
cuda-libraries-dev-12-8
cuda-nvml-dev-12-8
libcufft-12-8
libcurand-12-8
libcusolver-dev-12-8
libcusparse-dev-12-8
libcublas-12-8
libcublas-dev-12-8
libnccl-dev=2.25.1-1+cuda12.8
libnccl2=2.25.1-1+cuda12.8