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Dataset has a virtual layout
Number of mappings is 6
Mapping 0
Selection in the virtual dataset
start = [0, 0, 0]
stride = [1, 1, 1]
count = [1, 1, 1]
block = [3, 2, 6]
Source filename ael.h5
Source dataset name A
Selection in the source dataset
start = [0, 0, 0]
stride = [1, 1, 1]
count = [1, 1, 1]
block = [3, 2, 6]
Mapping 1
Selection in the virtual dataset
start = [0, 5, 0]
stride = [1, 1, 1]
count = [1, 1, 1]
block = [3, 2, 6]
Source filename cel.h5
Source dataset name C
Selection in the source dataset
start = [0, 5, 0]
stride = [1, 1, 1]
count = [1, 1, 1]
block = [3, 2, 6]
Mapping 2
Selection in the virtual dataset
start = [0, 10, 0]
stride = [1, 1, 1]
count = [1, 1, 1]
block = [3, 2, 6]
Source filename eel.h5
Source dataset name E
Selection in the source dataset
start = [0, 10, 0]
stride = [1, 1, 1]
count = [1, 1, 1]
block = [3, 2, 6]
Mapping 3
Selection in the virtual dataset
start = [0, 2, 0]
stride = [1, 1, 1]
count = [1, 1, 1]
block = [3, 3, 6]
Source filename bel.h5
Source dataset name B
Selection in the source dataset
start = [0, 2, 0]
stride = [1, 1, 1]
count = [1, 1, 1]
block = [3, 3, 6]
Mapping 4
Selection in the virtual dataset
start = [0, 7, 0]
stride = [1, 1, 1]
count = [1, 1, 1]
block = [3, 3, 6]
Source filename del.h5
Source dataset name D
Selection in the source dataset
start = [0, 7, 0]
stride = [1, 1, 1]
count = [1, 1, 1]
block = [3, 3, 6]
Mapping 5
Selection in the virtual dataset
start = [0, 12, 0]
stride = [1, 1, 1]
count = [1, 1, 1]
block = [3, 3, 6]
Source filename fel.h5
Source dataset name F
Selection in the source dataset
start = [0, 12, 0]
stride = [1, 1, 1]
count = [1, 1, 1]
block = [3, 3, 6]
VDS Data:
[ [ 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0] [ 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0] [ 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0] [ 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0] [ 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0] [ 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0] [ 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0] [ 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0] [ 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0] [ 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0] [ 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0] [ 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0] [ 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0] [ 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0] [ 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0]]
[ [ 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0] [ 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0] [ 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0] [ 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0] [ 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0] [ 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0] [ 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0] [ 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0] [ 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0] [ 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0] [ 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0] [ 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0] [ 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0] [ 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0] [ 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0]]
[ [ 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0] [ 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0] [ 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0] [ 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0] [ 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0] [ 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0] [ 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0] [ 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0] [ 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0] [ 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0] [ 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0] [ 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0] [ 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0] [ 0 0 0 0 0 0 0 0 0 0 0 0 1437410176 32670 -402914496] [ 0 0 0 0 0 0 1437410176 32670 -402914496 32764 -402914232 32764 -402914368 32764 1]]
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