Das Einzige, was die von `GzipRequest.get_route_handler` zurückgegebene Funktion anders macht, ist die Konvertierung von `Request` in ein `GzipRequest`.

Dabei kümmert sich unser `GzipRequest` um die Dekomprimierung der Daten (falls erforderlich), bevor diese an unsere *Pfadoperationen* weitergegeben werden.

Danach ist die gesamte Verarbeitungslogik dieselbe.

                // E.g., test.pkg.R.string.hello v.s. coreR.string.hello where test.pkg.R is imported as coreR
                // Since an import alias ends with a simple identifier (i.e., can't be non-trivial dotted qualifier), we can safely assume
                // that the first segment of the qualified access could be the import alias if any. Then, we can still compare the

# Größere Anwendungen – mehrere Dateien

Wenn Sie eine Anwendung oder eine Web-API erstellen, ist es selten der Fall, dass Sie alles in einer einzigen Datei unterbringen können.

**FastAPI** bietet ein praktisches Werkzeug zur Strukturierung Ihrer Anwendung bei gleichzeitiger Wahrung der Flexibilität.

!!! info
     Wenn Sie von Flask kommen, wäre dies das Äquivalent zu Flasks Blueprints.

## Eine Beispiel-Dateistruktur

    ```Python hl_lines="5  13  21"
    {!> ../../../docs_src/dependencies/tutorial008_an.py!}
    ```

=== "Python 3.8+ nicht annotiert"

    !!! tip "Tipp"
        Bevorzugen Sie die `Annotated`-Version, falls möglich.

    ```Python hl_lines="4  12  20"
    {!> ../../../docs_src/dependencies/tutorial008.py!}
    ```

Und alle können `yield` verwenden.

  std::list<size_t> calls;
  auto fetcher = [&calls, block_size](const string& filename, size_t offset,
                                      size_t n, char* buffer,
                                      TF_Status* status) -> int64_t {
    EXPECT_EQ(n, block_size);
    EXPECT_FALSE(calls.empty()) << "at offset = " << offset;
    if (!calls.empty()) {
      EXPECT_EQ(offset, calls.front());
      calls.pop_front();
    }

remote add` could also contribute to replication speed. The number of workers used for replication defaults to 100. Based on network bandwidth and system load, the number of workers used in replication can be configured using `mc admin config set alias api` to set the `replication_workers`. The prometheus metrics exposed by MinIO can be used to plan resource allocation and bandwidth management to optimize replication speed.

If synchronous replication is configured above, replication is attempted...

TEST(ExpiringLRUCacheTest, LookupOrCompute) {
  // max_age of 0 means we should always compute.
  uint64 num_compute_calls = 0;
  tf_gcs_filesystem::ExpiringLRUCache<int>::ComputeFunc compute_func =
      [&num_compute_calls](const string& key, int* value, TF_Status* status) {
        *value = num_compute_calls;
        num_compute_calls++;
        return TF_SetStatus(status, TF_OK, "");
      };

// capacity-aware scheduling with CSIDriverSpec.StorageCapacity. The scheduler
// compares the MaximumVolumeSize against the requested size of pending volumes
// to filter out unsuitable nodes. If MaximumVolumeSize is unset, it falls back
// to a comparison against the less precise Capacity. If that is also unset,
// the scheduler assumes that capacity is insufficient and tries some other
// node.
message CSIStorageCapacity {

            default=default,
            default_factory=default_factory,
            annotation=annotation,
            alias=alias,
            alias_priority=alias_priority,
            validation_alias=validation_alias,
            serialization_alias=serialization_alias,
            title=title,
            description=description,
            gt=gt,
            ge=ge,
            lt=lt,

        verifier.verify(logger, calls(1)).debug("Importing foreign packages into class realm {}", "maven.api");
        verifier.verify(logger, calls(1)).debug("  Imported: {} < {}", "group1:artifact1", "test");
        verifier.verify(logger, calls(1)).debug("  Excluded: {}", "group1:artifact2:ext:classifier1:null");
        verifier.verify(logger, calls(1))