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Features/481 halos #541
Features/481 halos #541
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Codecov Report
@@ Coverage Diff @@
## master #541 +/- ##
==========================================
+ Coverage 96.42% 96.43% +0.01%
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Files 75 75
Lines 14979 15092 +113
==========================================
+ Hits 14443 14554 +111
- Misses 536 538 +2
Continue to review full report at Codecov.
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heat/core/dndarray.py
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self.__halo_prev = res_next | ||
self.__ishalo = True | ||
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def cathalo(self): |
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cat_halo()?
private?
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I do not see a reason not to allow users to concat halos for their applications. But we can make it also private I you think this is more reasonable
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cat_halo fixed
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okay here I am definitely going with a private method. A user should not be able to do this on his/her own.
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Bump
…lytics/heat into features/481-halos
…lytics/heat into features/481-halos
Description
This PR implements a basic halo scheme needed for inter rank operations like convolution.
The halos are concatenated to the array by request. Further features will be implemented by Luca.
Issue/s resolved: #481
Due Diligence
Does this change modify the behaviour of other functions? If so, which?
no