* Try Google Colab to use TensorFlow.
         * The easiest way to use TF will be to switch to [google colab](https://colab.sandbox.google.com/notebooks/welcome.ipynb#recent=true). You get pre-installed latest stable TF version. Also you can use ```pip install```  to install any other preferred TF version.

This can make it a lot easier for your users to **implement their APIs** to receive your **webhook** requests, they might even be able to autogenerate some of their own API code.

/// info

Webhooks are available in OpenAPI 3.1.0 and above, supported by FastAPI `0.99.0` and above.

///

    /**
     * Gets the negotiated send buffer size.
     *
     * @return the send buffer size
     */
    int getSendBufferSize();

    /**
     * Gets the negotiated receive buffer size.
     *
     * @return the receive buffer size
     */
    int getReceiveBufferSize();

    /**
     * Gets the negotiated maximum transaction buffer size.
     *
     * @return the transaction buffer size

reinstated, you do not qualify to receive new licenses for the same
material under section 10.

  9. Acceptance Not Required for Having Copies.

  You are not required to accept this License in order to receive or
run a copy of the Program.  Ancillary propagation of a covered work
occurring solely as a consequence of using peer-to-peer transmission
to receive a copy likewise does not require acceptance.  However,

    }

    void clearValueReferenceQueue() {
      while (valueReferenceQueue.poll() != null) {}
    }

    // recency queue, shared by expiration and eviction

    /**
     * Records the relative order in which this read was performed by adding {@code entry} to the
     * recency queue. At write-time, or when the queue is full past the threshold, the queue will be
     * drained and the entries therein processed.

        }
    }

    @Override
    public ByteBuffer receive(int timeout) throws IOException {
        if (state != RdmaConnectionState.ESTABLISHED && state != RdmaConnectionState.CONNECTED) {
            throw new IOException("Connection not established");
        }

        try {
            // In real implementation, this would receive using DiSNI:

And Python has a special data type for sets of unique items, the `set`.

Then we can declare `tags` as a set of strings:

{* ../../docs_src/body_nested_models/tutorial003_py310.py hl[12] *}

With this, even if you receive a request with duplicate data, it will be converted to a set of unique items.

And whenever you output that data, even if the source had duplicates, it will be output as a set of unique items.

# `UploadFile` class

You can define *path operation function* parameters to be of the type `UploadFile` to receive files from the request.

You can import it directly from `fastapi`:

```python
from fastapi import UploadFile
```

::: fastapi.UploadFile
    options:
        members:
            - file
            - filename
            - size
            - headers
            - content_type
            - read

                        Files.getLastModifiedTime(outputFile).toMillis();
                if (outputFileLastModified > artifactLastModified) {
                    LOGGER.warn(
                            "File '{}' is more recent than the packaged artifact for '{}', "
                                    + "please run a full `mvn package` build",
                            relativizeOutputFile(outputFile),

conditions of the Eclipse Public License Version 1.0 ("EPL"). A copy of the EPL is available at http://www.eclipse.org/legal/epl-v10.html http://www.eclipse.org/legal/epl-v10.html. For purposes of the EPL, "Program" will mean the Content. If you did not receive this Content directly from the Eclipse Foundation, the Content is being redistributed by another party ("Redistributor") and different terms and conditions may apply to your use of any object code in the Content. Check the Redistributor's license...