name: Cleanup stale performance test data

on:
  schedule:
    - cron: '0 4 * * 1'  # Run every Monday at 4:00 AM UTC
  workflow_dispatch:

permissions:
  contents: read
  id-token: write

jobs:
  cleanup-stale-performance-data:
    runs-on: ubuntu-latest

    if: github.repository == 'gradle/gradle'

    steps:
      - name: Checkout repository
        uses: actions/checkout@v6
      

name: "Stale"
on:
  schedule:
  - cron: "0 2 * * *"

permissions:
  contents: read

jobs:
  stale:
    permissions:
      issues: write  # for actions/stale to close stale issues
      pull-requests: write  # for actions/stale to close stale PRs
    runs-on: ubuntu-latest
    env:
      ACTIONS_STEP_DEBUG: true
    steps:
    - name: Close Stale Issues
      uses: actions/stale@v9
      with:

  - cron: "*/10 * * * *"

permissions:
  contents: read

jobs:
  stale:
    permissions:
      issues: write  # for actions/stale to close stale issues
      pull-requests: write  # for actions/stale to close stale PRs
    runs-on: ubuntu-latest
    env:
      ACTIONS_STEP_DEBUG: true
    steps:
    - name: Close Stale Issues
      uses: actions/stale@v9
      with:
        repo-token: ${{ secrets.GITHUB_TOKEN }}

  - cron: "*/10 * * * *"

permissions:
  contents: read

jobs:
  stale:
    permissions:
      issues: write  # for actions/stale to close stale issues
      pull-requests: write  # for actions/stale to close stale PRs
    runs-on: ubuntu-latest
    env:
      ACTIONS_STEP_DEBUG: true
    steps:
    - name: Close Stale Issues
      uses: actions/stale@v9
      with:
        repo-token: ${{ secrets.GITHUB_TOKEN }}

 *   // The resource was cached! Show it.
 * } else {
 *   // The resource was not cached.
 * }
 * ```
 *
 * This technique works even better in situations where a stale response is better than no response.
 * To permit stale cached responses, use the `max-stale` directive with the maximum staleness in
 * seconds:
 *
 * ```java
 * Request request = new Request.Builder()
 *     .cacheControl(new CacheControl.Builder()

            }
            return false;
        }

        // Document already exists - check if it's stale
        return tryCleanupAndRetry(operationName, data, remainingRetries);
    }

    /**
     * Checks if the existing operation lock is stale (expired or owner inactive) and retries acquisition.
     *
     * @param operationName the operation name.

## Retrying Requests

Sometimes connections fail: either a pooled connection was stale and disconnected, or the webserver itself couldn’t be reached. OkHttp will retry the request with a different route if one is available.

## [Calls](https://square.github.io/okhttp/5.x/okhttp/okhttp3/-call/)

If there's a problem with the connection, OkHttp will select another route and try again. This allows OkHttp to recover when a subset of a server's addresses are unreachable. It's also useful when a pooled connection is stale or if the attempted TLS version is unsupported.

        .header("Cache-Control", "max-stale=180")
        .build()
    val response = client.newCall(request).execute()
    assertThat(response.body.string()).isEqualTo("A")
    assertThat(response.header("Warning")).isEqualTo(
      "110 HttpURLConnection \"Response is stale\"",
    )
  }

  @Test
  fun requestMaxStaleDirectiveWithNoValue() {
    // Add a stale response to the cache.
    server.enqueue(

		}
		c.evictList.MoveToFront(ent)
		return ent.Value, true
	}
	return
}

// Contains checks if a key is in the cache, without updating the recent-ness
// or deleting it for being stale.
func (c *LRU[K, V]) Contains(key K) (ok bool) {
	c.mu.RLock()
	defer c.mu.RUnlock()
	_, ok = c.items[key]
	return ok
}

// Peek returns the key value (or undefined if not found) without updating