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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 write(self, data):
 """Write audio data from a NumPy array to the file. Writes a number of frames at the read/write position to the file. This also advances the read/write position by the same number of frames and enlarges the file if necessary. Note that writing int values to a float file will *not* scale the values to [-1.0, 1.0). If you write the value ``np.array([42], dtype='int32')``, to a ``subtype='FLOAT'`` file, the file will then contain ``np.array([42.], dtype='float32')``. Parameters data : array_like The data to write. Usually two-dimensional (frames x channels), but one-dimensional `data` can be used for mono files. Only the data types ``'float64'``, ``'float32'``, ``'int32'`` and ``'int16'`` are supported. .. note:: The data type of `data` does **not** select the data type of the written file. Audio data will be converted to the given `subtype`. Writing int values to a float file will *not* scale the values to [-1.0, 1.0). If you write the value ``np.array([42], dtype='int32')``, to a ``subtype='FLOAT'`` file, the file will then contain ``np.array([42.], dtype='float32')``. Examples -------- Write 10 frames of random data to a new file: See Also -------- buffer_write, .read """

        import numpy as np
        # no copy is made if data has already the correct memory layout:
        data = np.ascontiguousarray(data)
        written = self._array_io('write', data, len(data))
        assert written == len(data)
        self._update_frames(written)