{!../../docs_src/extending_openapi/tutorial001.py!}
```

### Armazenar em cache o esquema OpenAPI

Você pode usar a propriedade `.openapi_schema` como um "cache" para armazenar o esquema gerado.

Dessa forma, sua aplicação não precisará gerar o esquema toda vez que um usuário abrir a documentação da sua API.

Ele será gerado apenas uma vez, e o mesmo esquema armazenado em cache será utilizado nas próximas requisições.

```Python hl_lines="13-14  25-26"

                result.getArtifacts(),
                result.getManagedVersions(),
                result.getResolutionRepositories());

        cache.put(cacheKey, cacheRecord);
    }

    public void flush() {
        cache.clear();
    }

        uses: actions/setup-python@v5
        with:
          python-version: "3.11"
      - name: Setup uv
        uses: astral-sh/setup-uv@v3
        with:
          version: "0.4.15"
          enable-cache: true
          cache-dependency-glob: |
            requirements**.txt
            pyproject.toml
      # Allow debugging with tmate
      - name: Setup tmate session
        uses: mxschmitt/action-tmate@v3

				<configuration>
					<includes>
						<include>**/**Test.java</include>
					</includes>
					<systemPropertyVariables>
						<networkaddress.cache.ttl>-1</networkaddress.cache.ttl>
						<networkaddress.cache.negative.ttl>-1</networkaddress.cache.negative.ttl>
					</systemPropertyVariables>
					<properties>
						<property>
							<name>listener</name>
							<value>jcifs.tests.PrintingRunListener</value>

        assertArgumentNotNull("locale", locale);

        DecimalFormatSymbols symbols = CACHE.get(locale);
        if (symbols == null) {
            symbols = new DecimalFormatSymbols(locale);
            CACHE.put(locale, symbols);
        }
        return symbols;
    }

TFCI_ARTIFACT_STAGING_GCS_URI="gs://tensorflow-ci-staging/staging/nightly/$(git rev-parse HEAD)/"

# 2. The internal version numbers get changed
TFCI_NIGHTLY_UPDATE_VERSION_ENABLE=1

# 3. Push results to public build cache (unique cache for MacOS)
if [[ $(uname -s) == "Darwin" ]]; then
  TFCI_BAZEL_COMMON_ARGS="$TFCI_BAZEL_COMMON_ARGS --config tf_public_macos_cache_push"
else
  TFCI_BAZEL_COMMON_ARGS="$TFCI_BAZEL_COMMON_ARGS --config tf_public_cache_push"

// reasons. Note that ZFS is effectively the default filesystem on illumos
// systems.
//
// One benefit of using DirectIO on Linux is that the page cache will not be
// polluted with single-access data. The ZFS read cache (ARC) is scan-resistant
// so there is no risk of polluting the entire cache with data accessed once.
// Another goal of DirectIO is to minimize the mutation of data by the kernel

        .url("https://square.com")
        .build()
    assertThat(request.headers("Cache-Control")).containsExactly("no-cache")
    assertThat(request.cacheControl.noCache).isTrue()
  }

  @Test
  fun emptyCacheControlClearsAllCacheControlHeaders() {
    val request =
      Request.Builder()
        .header("Cache-Control", "foo")
        .cacheControl(CacheControl.Builder().build())

          cache-from: |
            type=registry,ref=tensorflow/build:latest-${{ matrix.python-version }}
            type=registry,ref=gcr.io/tensorflow-sigs/build:${{ github.event.number }}-${{ matrix.python-version }}
          cache-to: type=inline
      -
        name: Add a comment with the pushed containers

    val certificatePinner: CertificatePinner? = address.certificatePinner()
  }

  @Test @Disabled
  fun cache() {
    val cache = Cache(File("/cache/"), Integer.MAX_VALUE.toLong())
    val directory: File = cache.directory()
  }

  @Test @Disabled
  fun cacheControl() {
    val cacheControl: CacheControl = CacheControl.Builder().build()