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IntelLabs / ParallelAccelerator.jl / 346 / 7
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Ran 07 Jan 2016 06:57PM UTC
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07 Jan 2016 06:03PM UTC coverage: 59.249% (-0.03%) from 59.282%
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DrTodd13
With this commit, we now support two kinds of masks.
1) One 1-dimensional mask for each dimension of the input array.   For example, see below:
      mask1 = Array{Bool,1}
      mask2 = Array{Bool,1}
      array = Array{Float64,2}
      array[mask1, mask2] = 5.0
2) A N-dimensional mask where N is the number of dimensions of the input array.  For example, the following creates such a mask:
      array[isnan(array)] = 0.0

Where we have a mask of the second type, we duplicate the MaskSelector N times so that some other generalized range fusion code won't crash but we add special code in a couple places that subsequently ignores such duplicate entries.

Add pretty print "show" overload for InputInfo.

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