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Solve the following problem using Python, implementing the functions described below, one line at a time
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Description:
 def get_partition(url, headers, source_id, container, partition):
 """Serializable function for fetching a data source partition Parameters url: str Server address headers: dict HTTP header parameters source_id: str ID of the source in the server's cache (unique per user) container: str Type of data, like "dataframe" one of ``intake.container.container_map`` partition: serializable Part of data to fetch, e.g., an integer for a dataframe. """

    accepted_formats = list(serializer.format_registry.keys())
    accepted_compression = list(serializer.compression_registry.keys())
    payload = dict(action='read',
                   source_id=source_id,
                   accepted_formats=accepted_formats,
                   accepted_compression=accepted_compression)

    if partition is not None:
        payload['partition'] = partition

    try:
        resp = requests.post(urljoin(url, '/v1/source'),
                             data=msgpack.packb(payload, use_bin_type=True),
                             **headers)
        if resp.status_code != 200:
            raise Exception('Error reading data')

        msg = msgpack.unpackb(resp.content, **unpack_kwargs)
        format = msg['format']
        compression = msg['compression']
        compressor = serializer.compression_registry[compression]
        encoder = serializer.format_registry[format]
        chunk = encoder.decode(compressor.decompress(msg['data']),
                               container)
        return chunk
    finally:
        if resp is not None:
            resp.close()