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- - **sum returns numpy.float64 when applied to a sequence of numpy.uint64**
(*http://www.velocityreviews.com/forums/t955512-sum-returns-numpy-float64-when-applied-to-a-sequence-of-numpy-uint64.html*)

sum returns numpy.float64 when applied to a sequence of numpy.uint64I came across this question on StackOverflow today: http://stackoverflow.com/questions/1...lements-of-a-g
I'm not familiar with `numpy` but I'm curious about this, so I started doing some experiments. This is what I have discovered so far: 1. when a `generator ` is passed to `numpy.sum`, it fallback to use Python's built-in `sum`. 2. if elements of the sequence passed to `sum` is of type `numpy.uint64`, the result would be a number of type `numpy.float64`; 3. when I tried it with `numpy.int64`, the result is as expected: `numpy.int64`. I guess the reason maybe that we don't really have `64 bits unsigned integer` in Python, so the numbers get converted to something different. And if so, I have no idea why it chose `float64` as the type. |

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