* EndpointPair#source() source node} to a {@link EndpointPair#target() target node}, while
   * undirected edges connect a pair of nodes to each other.
   */
  boolean isDirected();

  /**
   * Returns true if this graph allows self-loops (edges that connect a node to itself). Attempting
   * to add a self-loop to a graph that does not allow them will throw an {@link
   * IllegalArgumentException}.

You can also use `File()` with `UploadFile`, for example, to set additional metadata:

{* ../../docs_src/request_files/tutorial001_03_an_py310.py hl[9,15] *}

## Multiple File Uploads { #multiple-file-uploads }

It's possible to upload several files at the same time.

They would be associated to the same "form field" sent using "form data".

To use that, declare a list of `bytes` or `UploadFile`:

            default:
                logger.warn("Failed to access object with error code {}: bucket={}, path={}", code, bucketName, path, e);
                break;
            }
        } catch (final Exception e) {
            logger.warn("Failed to get object: bucket={}, path={}", bucketName, path, e);
        }
        return null;
    }

    /**
     * Preprocesses a URI to ensure it has the correct GCS protocol prefix.

The same models are shared among requests, so, it's not one model per request, or one per user or something similar.

Let's imagine that loading the model can **take quite some time**, because it has to read a lot of **data from disk**. So you don't want to do it for every request.

        listen       9000;
        listen  [::]:9000;
        server_name  localhost;

        # To allow special characters in headers
        ignore_invalid_headers off;
        # Allow any size file to be uploaded.
        # Set to a value such as 1000m; to restrict file size to a specific value
        client_max_body_size 0;
        # To disable buffering
        proxy_buffering off;
        proxy_request_buffering off;

// Execute the operation defined by 'op' and return handles to computed
// tensors in `retvals`.
//
// 'retvals' must point to a pre-allocated array of TFE_TensorHandle* and
// '*num_retvals' should be set to the size of this array. It is an error if
// the size of 'retvals' is less than the number of outputs. This call sets
// *num_retvals to the number of outputs.
//

         * (thanks to the checkArgument calls in getAnnotatedMethodsNotCached). If it happens, we'd
         * prefer to propagate an IllegalArgumentException to the caller. However, we don't want to
         * simply rethrow an exception (e.getCause()) that may in rare cases have come from another
         * thread. To accomplish both goals, we wrap that IllegalArgumentException in a new

[tool.fastapi]
entrypoint = "app.main:app"
```

that is equivalent to importing like:

```python
from app.main import app
```

That way the `fastapi` command will know where to find your app.

/// Note

You could also pass the path to the command, like:

```console
$ fastapi dev app/main.py
```

But you would have to remember to pass the correct path every time you call the `fastapi` command.

{{- else }} MC="/usr/bin/mc --insecure" {{- end }} # connectToMinio # Use a check-sleep-check loop to wait for MinIO service to be available connectToMinio() { SCHEME=$1 ATTEMPTS=0 ; LIMIT=29 ; # Allow 30 attempts set -e ; # fail if we can't read the keys. ACCESS=$(cat /config/rootUser) ; SECRET=$(cat /config/rootPassword) ; set +e ; # The connections to minio are allowed to fail. echo "Connecting to MinIO server: $SCHEME://$MINIO_ENDPOINT:$MINIO_PORT" ; MC_COMMAND="${MC} config host add myminio ...

    }

    /**
     * Scrolls through all documents in the specified index and applies the callback function to each hit.
     *
     * @param index the name of the index to scroll through
     * @param callback the function to apply to each search hit, returning true to continue or false to stop
     * @return the number of documents processed
     */