if !s.checkID(params.DiskID) {
		return grid.NewRemoteErr(errDiskNotFound)
	}
	if params.Cache == nil {
		return grid.NewRemoteErrString("NSScannerHandler: provided cache is nil")
	}

	// Collect updates, stream them before the full cache is sent.
	updates := make(chan dataUsageEntry, 1)
	var wg sync.WaitGroup
	wg.Add(1)
	go func() {
		defer wg.Done()

    /**
     * Gets a buffer from the cache or creates a new one if the cache is empty.
     *
     * Performance: O(1) operation using concurrent queue
     *
     * @return a byte buffer for SMB operations
     * @throws IllegalStateException if buffer size exceeds maximum allowed
     */
    static public byte[] getBuffer() {
        // Try to get from cache first - O(1) operation
        byte[] buf = bufferQueue.poll();

            <option value="$PROJECT_DIR$/platforms/core-execution/build-cache-base" />
            <option value="$PROJECT_DIR$/platforms/core-execution/build-cache-example-client" />
            <option value="$PROJECT_DIR$/platforms/core-execution/build-cache-http" />
            <option value="$PROJECT_DIR$/platforms/core-execution/build-cache-local" />

# Cache pushes are limited to TF's CI system.
common:tf_public_cache_push --config=tf_public_cache --remote_upload_local_results=true --google_default_credentials
# Public cache for macOS builds
common:tf_public_macos_cache --remote_cache="https://storage.googleapis.com/tensorflow-macos-bazel-cache/oct2023" --remote_upload_local_results=false

// 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

  "durations" : [ {
    "testProject" : "largeAndroidBuild",
    "linux" : 1584
  }, {
    "testProject" : "nowInAndroidBuild",
    "linux" : 4735
  } ]
}, {
  "scenario" : "org.gradle.performance.regression.android.RealLifeAndroidBuildPerformanceTest.clean phthalic:assembleDebug with clean transforms cache",
  "durations" : [ {
    "testProject" : "largeAndroidBuild",

redundancy or better drive space utilization.

To get an idea of how various combinations of data and parity drives affect the storage usage, let’s take an example of a 100 MiB file stored
on 16 drive MinIO deployment. If you use eight data and eight parity drives, the file space usage will be approximately twice, i.e. 100 MiB

```Dockerfile
RUN pip install --no-cache-dir --upgrade -r /code/requirements.txt
```

O arquivo com os requisitos de pacote **não muda com frequência**. Então, ao copiar apenas esse arquivo, o Docker será capaz de **usar o cache** para esse passo.

#      Ex. no_upload      -- Disable all uploads, usually for temporary CI issues

# Recommended: use a local+remote cache.
#
#   Bazel will cache your builds in tensorflow/build_output/cache,
#   and will also try using public build cache results to speed up
#   your builds. This usually saves a lot of time, especially when
#   re-running tests. However, note that:
#

```Python hl_lines="1"
async def get_burgers(number: int):
    # Mache hier etwas Asynchrones, um die Burger zu erstellen
    return burgers
```

... statt mit `def`:

```Python hl_lines="2"
# Dies ist nicht asynchron
def get_sequential_burgers(number: int):
    # Mache hier etwas Sequentielles, um die Burger zu erstellen
    return burgers
```