# For RBE, we explicitly set invalid paths to force the auto-configuration to fail.
TFCI_BAZEL_VC="C:/RBE_ISOLATED_INVALID_PATH"
TFCI_BAZEL_LLVM="C:/RBE_ISOLATED_INVALID_PATH"
TFCI_BAZEL_SH="C:/tools/msys64/usr/bin/bash.exe"
TFCI_USE_CLANG_CL=0

# Map TFCI_BAZEL_* to BAZEL_* so cc_configure can find them in the environment.
# We use the shell's default value substitution to ensure that if these are

7.7.0

# Configure a UI do Swagger { #configure-swagger-ui }

Você pode configurar alguns [parâmetros extras da UI do Swagger](https://swagger.io/docs/open-source-tools/swagger-ui/usage/configuration/).

Para configurá-los, passe o argumento `swagger_ui_parameters` ao criar o objeto da aplicação `FastAPI()` ou para a função `get_swagger_ui_html()`.

`swagger_ui_parameters` recebe um dicionário com as configurações passadas diretamente para o Swagger UI.

Zum Beispiel bietet **FastAPI** selbst eine alternative API-Dokumentation (verwendet ReDoc), welche Sie unter [http://127.0.0.1:8000/redoc](http://127.0.0.1:8000/redoc) einsehen können:

<img src="/img/tutorial/path-params/image02.png">

Und viele weitere kompatible Tools. Inklusive Codegenerierung für viele Sprachen.

## Pydantic { #pydantic }

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.

# All required CUDA packages
cuda-compat-12-1
cuda-command-line-tools-12-1
cuda-cudart-dev-12-1
cuda-nvcc-12-1
cuda-cupti-12-1
cuda-nvprune-12-1
cuda-libraries-12-1
cuda-libraries-dev-12-1
cuda-nvml-dev-12-1
libcufft-12-1
libcurand-12-1
libcusolver-dev-12-1
libcusparse-dev-12-1
libcublas-12-1
libcublas-dev-12-1
libnccl-dev=2.18.3-1+cuda12.1
libnccl2=2.18.3-1+cuda12.1

import javax.lang.model.SourceVersion;
import javax.lang.model.element.Element;
import javax.lang.model.element.PackageElement;
import javax.lang.model.element.TypeElement;
import javax.tools.Diagnostic;
import javax.tools.FileObject;
import javax.tools.StandardLocation;

import java.io.BufferedReader;
import java.io.IOException;
import java.io.InputStreamReader;
import java.io.PrintWriter;
import java.io.StringWriter;

# Swagger UI'yi Yapılandırın { #configure-swagger-ui }

Bazı ek [Swagger UI parametrelerini](https://swagger.io/docs/open-source-tools/swagger-ui/usage/configuration/) yapılandırabilirsiniz.

Bunları yapılandırmak için, `FastAPI()` uygulama nesnesini oluştururken ya da `get_swagger_ui_html()` fonksiyonuna `swagger_ui_parameters` argümanını verin.

`swagger_ui_parameters`, Swagger UI'ye doğrudan iletilecek yapılandırmaları içeren bir `dict` alır.

          CI_DOCKER_BUILD_EXTRA_PARAMS="--build-arg py_major_minor_version=${{ matrix.pyver }} --build-arg is_nightly=${is_nightly} --build-arg tf_project_name=${tf_project_name}" \
          ./tensorflow/tools/ci_build/ci_build.sh cpu.arm64 bash tensorflow/tools/ci_build/rel/ubuntu/cpu_arm64_test_build.sh
      - name: Upload pip wheel to PyPI

load(
    "//tensorflow/python/tools/api/generator:api_gen.bzl",
    "get_compat_files",
    "get_nested_compat_files",
)
load(
    "//tensorflow/python/tools/api/generator:api_init_files.bzl",
    "TENSORFLOW_API_INIT_FILES",
)
load(
    "//tensorflow/python/tools/api/generator:api_init_files_v1.bzl",
    "TENSORFLOW_API_INIT_FILES_V1",
)
load("//tensorflow/python/tools/api/generator2:generate_api.bzl", "generate_apis")