for j := 0; j < 3; j++ {
			w, _ := zw.CreateHeader(&FileHeader{
				Name:   "foo",
				Method: Deflate,
			})
			w.Write(bigBuf)
		}
		zw.Close()
	}

	b.ReportAllocs()
	// Run once and then reset the timer.
	// This effectively discards the very large initial flate setup cost,
	// as well as the initialization of bigBuf.
	runOnce(&bytes.Buffer{})
	b.ResetTimer()

     *
     * <p>This file and jar files from "Class-Path" entry in the scanned manifest files will be
     * added to {@code scannedFiles}.
     *
     * <p>A file will be scanned at most once even if specified multiple times by one or multiple
     * jar files' "Class-Path" manifest entries. Particularly, if a jar file from the "Class-Path"

   * <p>By default this method does nothing.
   */
  protected void shutDown() throws Exception {}

  /**
   * Returns the {@link Scheduler} object used to configure this service. This method will only be
   * called once.
   */
  // TODO(cpovirk): @ForOverride
  protected abstract Scheduler scheduler();

  /**
   * Returns the {@link ScheduledExecutorService} that will be used to execute the {@link #startUp},

    return getAndUpdate(key, x -> newValue);
  }

  /**
   * Copies all of the mappings from the specified map to this map. The effect of this call is
   * equivalent to that of calling {@code put(k, v)} on this map once for each mapping from key
   * {@code k} to value {@code v} in the specified map. The behavior of this operation is undefined
   * if the specified map is modified while the operation is in progress.
   */

	doneCh := make(chan error, 1)
	defer xioutil.SafeClose(doneCh)

	// Save rebalance.bin periodically.
	go func() {
		// Update rebalance.bin periodically once every 5-10s, chosen randomly
		// to avoid multiple pool leaders herding to update around the same
		// time.
		r := rand.New(rand.NewSource(time.Now().UnixNano()))
		randSleepFor := func() time.Duration {

  // can have their pods stopped for an update at any given time. The update
  // starts by stopping at most 30% of those DaemonSet pods and then brings
  // up new DaemonSet pods in their place. Once the new pods are available,
  // it then proceeds onto other DaemonSet pods, thus ensuring that at least
  // 70% of original number of DaemonSet pods are available at all times during
  // the update.
  // +optional

	writeSuccessNoContent(w)
}

//msgp:ignore BatchJobPool

// BatchJobPool batch job pool
type BatchJobPool struct {
	ctx          context.Context
	objLayer     ObjectLayer
	once         sync.Once
	mu           sync.Mutex
	jobCh        chan *BatchJobRequest
	jmu          sync.Mutex // protects jobCancelers
	jobCancelers map[string]context.CancelFunc
	workerKillCh chan struct{}
	workerSize   int

graph TB

common_parameters(["common_parameters"])
read_items["/items/"]
read_users["/users/"]

common_parameters --> read_items
common_parameters --> read_users
```

This way you write shared code once and **FastAPI** takes care of calling it for your *path operations*.

/// check

Notice that you don't have to create a special class and pass it somewhere to **FastAPI** to "register" it or anything similar.

* Data "<abbr title="converting the string that comes from an HTTP request into Python data">parsing</abbr>"
* Data validation
* API annotation and automatic documentation

And you only have to declare them once.

      auto& indices = iter->second;
      if (std::find(indices.begin(), indices.end(), idx) != indices.end()) {
        return InvalidArgument("TF_Output ", node->name(), ":", idx,
                               " appears more than once in the input list");
      }
      indices.push_back(idx);
    }
  }
  return absl::OkStatus();
}

// Converts `noutputs` and `outputs` into `outputs_tensors` and does various
// checks while doing so.