extractorMap.put(key, newExtractors);
        } else {
            extractorMap.put(key, new Extractor[] { extractor });
        }

        if (logger.isDebugEnabled()) {
            logger.debug("Loaded {} : {}", key, extractor.getClass().getName());
        }
    }

    /**
     * Adds an extractor to the factory for all keys in the provided list.
     *

# TF_LoadLibrary/tf.load_op_library) register their ops and kernels with this
# shared object directly.
#
# For example, from Python tf.load_op_library loads a custom op library (via
# dlopen() on Linux), the library finds libtensorflow_framework.so (no
# filesystem search takes place, since libtensorflow_framework.so has already

    return statsCounterSupplier;
  }

  /**
   * Builds a cache, which either returns an already-loaded value for a given key or atomically
   * computes or retrieves it using the supplied {@code CacheLoader}. If another thread is currently
   * loading the value for this key, simply waits for that thread to finish and returns its loaded
   * value. Note that multiple threads can concurrently load values for distinct keys.
   *

          }
          // TODO(cpovirk): if reference has been cleared, remove it?
        }
        checkExceptionClassValidity(exceptionClass);

        /*
         * It's very unlikely that any loaded Futures class will see getChecked called with more
         * than a handful of exceptions. But it seems prudent to set a cap on how many we'll cache.

          }
          // TODO(cpovirk): if reference has been cleared, remove it?
        }
        checkExceptionClassValidity(exceptionClass);

        /*
         * It's very unlikely that any loaded Futures class will see getChecked called with more
         * than a handful of exceptions. But it seems prudent to set a cap on how many we'll cache.

                    if (!info.isExpired()) {
                        handles.put(info.getPath(), info);
                        guidToHandle.put(info.getCreateGuid(), info);
                        log.info("Loaded persisted handle: {}", info.getPath());
                    } else {
                        Files.delete(handleFile);
                        log.debug("Deleted expired persisted handle: {}", handleFile);

That's what we'll solve, let's load the model before the requests are handled, but only right before the application starts receiving requests, not while  the code is being loaded.

## Lifespan { #lifespan }

You can define this *startup* and *shutdown* logic using the `lifespan` parameter of the `FastAPI` app, and a "context manager" (I'll show you what that is in a second).

	return err
}

func (client *peerRESTClient) DeleteUploadID(ctx context.Context, uploadID string) error {
	conn := client.gridConn()
	if conn == nil {
		return nil
	}
	_, err := cleanupUploadIDCacheMetaRPC.Call(ctx, conn, grid.NewMSSWith(map[string]string{
		peerRESTUploadID: uploadID,
	}))
	return err
}

func (client *peerRESTClient) StopRebalance(ctx context.Context) error {

                }
            }));
            facetQueryView.init();
            facetQueryViewList.add(facetQueryView);
            if (logger.isDebugEnabled()) {
                logger.debug("loaded {}", facetQueryView);
            }
        }));

        facetCache = CacheBuilder.newBuilder().maximumSize(1000).expireAfterWrite(facetCacheDuration, TimeUnit.SECONDS).build();

        }
    }

    /**
     * Initializes the necessary probes for monitoring system resources.
     */
    static void initializeProbes() {
        // Force probes to be loaded
        ProcessProbe.getInstance();
        OsProbe.getInstance();
        JvmInfo.jvmInfo();
    }

    /**
     * The main method for the SuggestCreator application.
     *