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Fix computation with splited blocks #1434
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Replaces #1432 |
teytaud
reviewed
Apr 22, 2022
@@ -52,6 +52,7 @@ def _initialize(self) -> None: | |||
self._dimension, self.block_dimension * self.num_blocks, replace=False | |||
).tolist() | |||
indices.sort() # keep the indices sorted sorted so that blocks do not overlap | |||
# Caution this is also important for split, so that splitted arrays end un in the same block |
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# Caution this is also important for split, so that splitted arrays end un in the same block | |
# Caution this is also important for split, so that splitted arrays end up in the same block |
teytaud
reviewed
Apr 22, 2022
data = self._transform(recommendations[0].args[0]) | ||
assert not recommendations[0].kwargs | ||
# we can concatenate since blocks are necessarily sorted | ||
data = np.concatenate(recommendations[0].args, axis=0) |
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Aaaaaaah c'etait ca. Ok My bad I was testing "flatten" and desperately failing.
teytaud
approved these changes
Apr 22, 2022
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