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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 view(self, buffer_time = 10.0, sample_size = 10000, name=None, description=None, start=False):
 """ Defines a view on a stream. A view is a continually updated sampled buffer of a streams's tuples. Views allow visibility into a stream from external clients such as Jupyter Notebooks, the Streams console, `Microsoft Excel <https://www.ibm.com/support/knowledgecenter/SSCRJU_4.2.0/com.ibm.streams.excel.doc/doc/excel_overview.html>`_ or REST clients. The view created by this method can be used by external clients and through the returned :py:class:`~streamsx.topology.topology.View` object after the topology is submitted. For example a Jupyter Notebook can declare and submit an application with views, and then use the resultant `View` objects to visualize live data within the streams. When the stream contains Python objects then they are converted to JSON. Args: buffer_time: Specifies the buffer size to use measured in seconds. sample_size: Specifies the number of tuples to sample per second. name(str):
 Name of the view. Name must be unique within the topology. Defaults to a generated name. description: Description of the view. start(bool):
 Start buffering data when the job is submitted. If `False` then the view starts buffering data when the first remote client accesses it to retrieve data. Returns: streamsx.topology.topology.View: View object which can be used to access the data when the topology is submitted. .. note:: Views are only supported when submitting to distributed contexts including Streaming Analytics service. """

        if name is None:
            name = ''.join(random.choice('0123456789abcdef') for x in range(16))

        if self.oport.schema == streamsx.topology.schema.CommonSchema.Python:
            if self._json_stream:
                view_stream = self._json_stream
            else:
                self._json_stream = self.as_json(force_object=False)._layout(hidden=True)
                view_stream = self._json_stream
                # colocate map operator with stream that is being viewed.
                if self._placeable:
                    self._colocate(view_stream, 'view')
        else:
            view_stream = self

        port = view_stream.oport.name
        view_config = {
                'name': name,
                'port': port,
                'description': description,
                'bufferTime': buffer_time,
                'sampleSize': sample_size}
        if start:
            view_config['activateOption'] = 'automatic'
        view_stream.oport.operator.addViewConfig(view_config)
        _view = View(name)
        self.topology.graph._views.append(_view)
        return _view