### Armazenar em cache o esquema OpenAPI { #cache-the-openapi-schema }

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.

        with:
          python-version: ${{ matrix.python-version }}
      - name: Setup uv
        uses: astral-sh/setup-uv@v7
        with:
          version: "0.4.15"
          enable-cache: true
          cache-dependency-glob: |
            requirements**.txt
            pyproject.toml
      - name: Install Dependencies
        run: uv pip install -r requirements-tests.txt
      - run: mkdir coverage

def test_sub_counter_no_cache():
    counter_holder["counter"] = 0
    response = client.get("/sub-counter-no-cache/")
    assert response.status_code == 200, response.text
    assert response.json() == {"counter": 2, "subcounter": 1}
    response = client.get("/sub-counter-no-cache/")
    assert response.status_code == 200, response.text
    assert response.json() == {"counter": 4, "subcounter": 3}

package cmd

import (
	"context"
)

const (
	memTotal     = "total"
	memUsed      = "used"
	memFree      = "free"
	memBuffers   = "buffers"
	memCache     = "cache"
	memUsedPerc  = "used_perc"
	memShared    = "shared"
	memAvailable = "available"
)

var (
	memTotalMD     = NewGaugeMD(memTotal, "Total memory on the node")

  grep -v "twine" $REQUIREMENTS > requirements_without_twine.txt
  REQUIREMENTS=requirements_without_twine.txt
fi

# Disable the cache dir to save image space, and install packages

  @RegisterExtension
  val clientTestRule = OkHttpClientTestRule()

  @StartStop
  private val server = MockWebServer()

  private var client =
    clientTestRule
      .newClientBuilder()
      .cache(Cache(fileSystem, "/cache/".toPath(), Long.MAX_VALUE))
      .build()

  @Test
  fun trailersHttp1() {
    trailers(Protocol.HTTP_1_1)
  }

  @Test
  fun trailersHttp2() {
    trailers(Protocol.HTTP_2)
  }

    Object key = new Object();
    Object value = new Object();
    LoadingCache<Object, Object> cache =
        builder.build(CacheLoader.from(Suppliers.ofInstance(value)));
    assertThat(cache.getUnchecked(key)).isSameInstanceAs(value);
    assertThat(cache.size()).isEqualTo(0);
    assertThat(cache.asMap().containsKey(key)).isFalse();
  }

  public void testCacheBuilderFrom_string() {

 */

package com.google.common.cache;

import static com.google.common.cache.CacheBuilder.NULL_TICKER;
import static com.google.common.cache.LocalCache.DISCARDING_QUEUE;
import static com.google.common.cache.LocalCache.DRAIN_THRESHOLD;
import static com.google.common.cache.LocalCache.nullEntry;
import static com.google.common.cache.LocalCache.unset;
import static com.google.common.cache.TestingCacheLoaders.identityLoader;

// 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

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"