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IntelLabs / ParallelAccelerator.jl / 346
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DEFAULT BRANCH: master
Ran 07 Jan 2016 06:30PM UTC
Jobs 6
Files 18
Run time 27min
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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.

4935 of 8228 relevant lines covered (59.98%)

3708.42 hits per line

Jobs
ID Job ID Ran Files Coverage
1 346.1 07 Jan 2016 06:31PM UTC 0
59.72
Travis Job 346.1
2 346.2 07 Jan 2016 06:33PM UTC 0
59.75
Travis Job 346.2
3 346.3 07 Jan 2016 06:30PM UTC 0
59.75
Travis Job 346.3
5 346.5 07 Jan 2016 06:38PM UTC 0
59.22
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6 346.6 07 Jan 2016 06:55PM UTC 0
59.25
Travis Job 346.6
7 346.7 07 Jan 2016 06:57PM UTC 0
59.25
Travis Job 346.7
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