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I'm having a real problem with OpenDX's handling of positions vs.
connections in n-dimensional data when there is effectively only 1
sample point in one or more of the dimensions.
For example, say I have the following data.general file:
file = data.raw
grid = 128 x 512 x 8 x 1
format = msb ieee
interleaving = record
majority = column
field = intensity
structure = scalar
type = float
dependency = positions
positions = regular, regular, regular, regular, 0, 1, 0, 1, 0, 1, 0, 1
end
Note the grid size of the 4th dimension is 1. After importing this
data, when I try to take a slice to isolate dimension 1-3, dx assumes
that the 4th dimension doesn't exist. I get the following error:
ERROR: Slice: Bad parameter: dimension is 3, connections for input
have only dimension 0-2
However, if I use the input data as if it only had 3 dimensions
(effectively ignoring the 4th), and try to take a slice to eliminate
dimension 3, Slice complains that the data is invalid:
ERROR: Slice: Invalid data: number of connection dimensions (3) not
equal to position dimensions (4)
How do I get around this when dealing with data which potentially has a
width of only 1 in one of the dimensions? In other words, how do I
convince OpenDX that my input data has 4 connection dimensions, or
(alternatively) only 3 position dimensions in the case of the .general
file above.
I'd like to avoid modifying my .general file to chop off the 4th
dimension, as I am trying to run the same program on many different
sets of data which have widths of >= 1 in dimension 4. It is not
practical to create separate programs for each case.
Any help is greatly appreciated.
-- Matt
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