Closed brisvag closed 3 years ago
Merging #107 (c6ad68e) into develop (1c1c152) will decrease coverage by
0.19%
. The diff coverage is88.23%
.
@@ Coverage Diff @@
## develop #107 +/- ##
===========================================
- Coverage 84.07% 83.88% -0.20%
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Files 92 92
Lines 2110 2103 -7
===========================================
- Hits 1774 1764 -10
- Misses 336 339 +3
Impacted Files | Coverage Δ | |
---|---|---|
...locks/simpleblocks/_tests/test_orientationblock.py | 100.00% <ø> (ø) |
|
peepingtom/depictors/napari/meshdepictor.py | 75.00% <0.00%> (ø) |
|
peepingtom/io_/reading/star.py | 89.06% <ø> (ø) |
|
...eepingtom/datablocks/abstractblocks/simpleblock.py | 74.54% <66.66%> (-0.46%) |
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peepingtom/datablocks/multiblocks/dipoleblock.py | 85.29% <66.66%> (-2.21%) |
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peepingtom/datablocks/multiblocks/meshblock.py | 93.75% <66.66%> (-6.25%) |
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...ingtom/datablocks/simpleblocks/orientationblock.py | 73.91% <66.66%> (-9.88%) |
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...epingtom/datablocks/abstractblocks/spatialblock.py | 85.71% <77.77%> (-10.96%) |
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peepingtom/io_/reading/em.py | 92.30% <87.50%> (-7.70%) |
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...ngtom/datablocks/multiblocks/orientedpointblock.py | 81.81% <100.00%> (+4.04%) |
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... and 9 more |
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After some time using xarray, it seems that it's more troubl;e than it's worth. This PR gets rid of it and rolls back to numpy. One of the issues that this lets us solve is handling 2d and 3d data without going nuts (before this, 2D images were broken).