}

  /**
   * Regression test for an edge case where closing response body in the HTTP engine doesn't release
   * the corresponding stream allocation. This test keeps those response bodies alive and reads
   * them after the redirect has completed. This forces a connection to not be reused where it would
   * be otherwise.
   *
   *

         * than a handful of exceptions. But it seems prudent to set a cap on how many we'll cache.
         * This avoids out-of-control memory consumption, and it keeps the cache from growing so
         * large that doing the lookup is noticeably slower than redoing the work would be.
         *
         * Ideally we'd have a real eviction policy, but until we see a problem in practice, I hope

2. Write implementation following existing patterns
3. Add comprehensive tests
4. Run `mvn formatter:format license:format test`
5. Update JavaDoc for changed/new classes

**Principles:**
- Avoid over-engineering - keep solutions simple
- Only expose necessary public APIs
- Validate parameters with `Objects.requireNonNull()`
- Provide detailed error messages with context
- Add logging with contextual information

### Resource Files

	}

	// Bucket metrics are special, they always include the bucket label. These
	// metrics required a list of buckets to be passed to the loader, and the list
	// of buckets is not known until the request is made. So we keep a separate
	// map for bucket metrics and handle them specially.

	// Add the serverName and poolIndex labels to all non-cluster metrics.
	//
	// Also create metric group maps and set the cache.

		case <-ctx.Done():
			return
		case <-keepAliveTicker.C:
			// if previous result is set keep writing the
			// previous result back to the client
			if prevResult.Version != "" {
				if err := enc.Encode(prevResult); err != nil {
					return
				}
			} else {
				// first result is not yet obtained, keep writing
				// empty entry to prevent client from disconnecting.

* «X is case-insensitive»: «Groß-/Klein­schrei­bung ist nicht relevant in X»
* «standard Python»: «Standard-Python»
* «deprecated»: «deprecatet»


### Other rules

	return fmt.Sprintf("ReplicationLastMinute sz= %d, n=%d , dur=%d", t.Size, t.N, t.Total)
}

func (rl *ReplicationLastMinute) getTotal() AccElem {
	return rl.LastMinute.getTotal()
}

// ReplicationLastHour keeps track of replication counts over the last hour
type ReplicationLastHour struct {
	Totals  [60]AccElem
	LastMin int64
}

// Merge data of two ReplicationLastHour structure

   * AsyncFunction.apply}. Any heavyweight operations should occur in other threads responsible for
   * completing the returned {@code Future}.)
   *
   * <p>The returned {@code Future} attempts to keep its cancellation state in sync with that of the
   * input future and that of the future returned by the chain function. That is, if the returned

`callStartNanos`, to track the elapsed time of each event. This is handy, but it won’t work if multiple calls are executing concurrently. To accommodate this, use a `Factory` to create a new `EventListener` instance for each `Call`. This allows each listener to keep call-specific state.

This [sample factory](https://github.com/square/okhttp/blob/master/samples/guide/src/main/java/okhttp3/recipes/PrintEvents.java) creates a unique ID for each call and uses that ID to differentiate calls in log messages....

[tool.ruff.lint.isort]
known-third-party = ["fastapi", "pydantic", "starlette"]

[tool.ruff.lint.pyupgrade]
# Preserve types, even if a file imports `from __future__ import annotations`.
keep-runtime-typing = true

[tool.inline-snapshot]
# default-flags=["fix"]