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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_numpy_dtype(obj):
 """Return NumPy data type associated to obj Return None if NumPy is not available or if obj is not a NumPy array or scalar"""

    if ndarray is not FakeObject:
        # NumPy is available
        import numpy as np
        if isinstance(obj, np.generic) or isinstance(obj, np.ndarray):
        # Numpy scalars all inherit from np.generic.
        # Numpy arrays all inherit from np.ndarray.
        # If we check that we are certain we have one of these
        # types then we are less likely to generate an exception below.
            try:
                return obj.dtype.type
            except (AttributeError, RuntimeError):
                #  AttributeError: some NumPy objects have no dtype attribute
                #  RuntimeError: happens with NetCDF objects (Issue 998)
                return