Error when taking max of empty array about awkward-0.x HOT 1 CLOSED

>>> flat = awkward.fromiter([])
>>> type(flat)
<class 'numpy.ndarray'>
>>> print(awkward.type.fromarray(flat))
[0, 0) -> float64
>>> # which is to say that it takes an integer in the interval [0, 0) and returns a float
>>> 
>>> jagged = awkward.JaggedArray([], [], [])   # no starts, no stops, no content
>>> type(jagged)
<class 'awkward.array.jagged.JaggedArray'>
>>> print(awkward.type.fromarray(jagged))
[0, 0) -> [0, inf) -> float64
>>> # which is to say that it takes an integer in [0, 0) and returns something that takes any integer, which in turn returns a float
>>> 
>>> flat.max()    # expect it to fail because "flat" is a numpy.ndarray
Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
  File "/usr/local/miniconda3/lib/python3.7/site-packages/numpy/core/_methods.py", line 28, in _amax
    return umr_maximum(a, axis, None, out, keepdims, initial)
ValueError: zero-size array to reduction operation maximum which has no identity
>>> 
>>> jagged.max()    # we want it to pass because "jagged" is a JaggedArray
array([], dtype=float64)