<SYSTEM_TASK:>
Solve the following problem using Python, implementing the functions described below, one line at a time
<END_TASK>
<USER_TASK:>
Description:
 def get_matlab_value(val):
 """ Extract a value from a Matlab file From the oct2py project, see https://pythonhosted.org/oct2py/conversions.html """

    import numpy as np

    # Extract each item of a list.
    if isinstance(val, list):
        return [get_matlab_value(v) for v in val]

    # Ignore leaf objects.
    if not isinstance(val, np.ndarray):
        return val

    # Convert user defined classes.
    if hasattr(val, 'classname'):
        out = dict()
        for name in val.dtype.names:
            out[name] = get_matlab_value(val[name].squeeze().tolist())
        cls = type(val.classname, (object,), out)
        return cls()

    # Extract struct data.
    elif val.dtype.names:
        out = MatlabStruct()
        for name in val.dtype.names:
            out[name] = get_matlab_value(val[name].squeeze().tolist())
        val = out

    # Extract cells.
    elif val.dtype.kind == 'O':
        val = val.squeeze().tolist()
        if not isinstance(val, list):
            val = [val]
        val = get_matlab_value(val)

    # Compress singleton values.
    elif val.size == 1:
        val = val.item()

    # Compress empty values.
    elif val.size == 0:
        if val.dtype.kind in 'US':
            val = ''
        else:
            val = []

    return val