*/

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;

{* ../../docs_src/extending_openapi/tutorial001.py hl[22:24] *}

### Cache the OpenAPI schema { #cache-the-openapi-schema }

You can use the property `.openapi_schema` as a "cache", to store your generated schema.

That way, your application won't have to generate the schema every time a user opens your API docs.

It will be generated only once, and then the same cached schema will be used for the next requests.

            }
        }
        return contentCache.getInputStream();
    }

    /**
     * Sets the content cache for the response.
     *
     * @param contentCache the content cache to set.
     */
    public void setContentCache(final ContentCache contentCache) {
        this.contentCache = contentCache;
    }

    /**

# Sourcing this enables local disk cache
if [[ $(uname -s) == "Darwin" ]]; then
  echo "Please note that using disk cache on macOS is not recommended because the"
  echo "cache can end up being pretty big and make the build process inefficient."
fi

        uses: actions/setup-python@v5
        with:
          python-version: "3.11"
      - name: Setup uv
        uses: astral-sh/setup-uv@v6
        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
      - name: Install Pydantic v2

        uses: actions/setup-python@v5
        with:
          python-version: "3.11"
      - name: Setup uv
        uses: astral-sh/setup-uv@v6
        with:
          version: "0.4.15"
          enable-cache: true
          cache-dependency-glob: |
            requirements**.txt
            pyproject.toml
      - name: Install Dependencies
        run: uv pip install -r requirements-github-actions.txt
      # Allow debugging with tmate

        uses: actions/setup-python@v5
        with:
          python-version: "3.11"
      - name: Setup uv
        uses: astral-sh/setup-uv@v6
        with:
          version: "0.4.15"
          enable-cache: true
          cache-dependency-glob: |
            requirements**.txt
            pyproject.toml
      - name: Install Dependencies
        run: uv pip install -r requirements-github-actions.txt
      # Allow debugging with tmate

		logger.Info("STS policy mappings load took %.2fs (for %d items)", took.Seconds(), stsPolicyMappingsCount)
	}

	// Copy svcUsersMap to cache.iamUsersMap
	maps.Copy(cache.iamUsersMap, svcUsersMap)

	cache.buildUserGroupMemberships()

	purgeStart := time.Now()

	// Purge expired STS credentials.

	// Scan STS users on disk and purge expired ones.

        DfsResolver dfs2 = context.getDfs();
        BufferCache cache1 = context.getBufferCache();
        BufferCache cache2 = context.getBufferCache();

        // Then - should be same instances
        assertSame(config1, config2, "Configuration should be consistent");
        assertSame(dfs1, dfs2, "DFS resolver should be consistent");
        assertSame(cache1, cache2, "Buffer cache should be consistent");
    }

    @Test

  @Nullable V getIfCached(@Nullable Object key) {
    Entry<K, V> entry = cacheEntry; // store local reference for thread-safety

    // Check cache. We use == on purpose because it's cheaper and a cache miss is ok.
    if (entry != null && entry.getKey() == key) {
      return entry.getValue();
    }
    return null;
  }

  void clearCache() {
    cacheEntry = null;
  }