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from __future__ import division, absolute_import, print_function
import floatint.floatint as ff
import numpy as np
# Setting using array is hard because
# The parser doesn't stop at tuples always
# So, the setitem code will be called with scalars on the
# wrong shaped array.
# But we can get a view as an ndarray of the given type:
g = np.array([1, 2, 3, 4, 5, 6, 7, 8]).view(ff.floatint_type)
# Now, the elements will be the scalar type associated
# with the ndarray.
print(g[0])
print(type(g[1]))
# Now, you need to register ufuncs and more arrfuncs to do useful things...
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