BUG: Initialize the full nditer buffer in case of error #18922
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charris
added
00 - Bug
component: numpy._core
08 - Backport
This is necessary because in some rare cases (reductions), we may not actually use the full buffer. In that case, the cleanup-on-error code would have to grow smart enough to handle these cases. It seems much simpler to just always initialize the full buffers, even if we may not end up using them. Admittedly, the old logic might have skipped the buffer clearing (especially the full buffer) in a fair bit of cases, but since this is only relevant for `object` dtype, I assume this is fine.
Buffer must always either contain NULL or valid references (assuming the dtype supports references) in order to allow cleanup in case of errors. It is thus unnecessary to clear buffers before every copy, if they contain NULL, all is fine. If they contain non-NULL, we should also DECREF those references (so it would be incorrect as well). Buffers thus need the memset exactly once: directly upon allcoation (which we do now). After this any transfer from/to the buffer needs to ensure that the buffer is always in a good state.
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Backport of #18813.
This is necessary because in some rare cases (reductions), we may
not actually use the full buffer. In that case, the cleanup-on-error
code would have to grow smart enough to handle these cases.
It seems much simpler to just always initialize the full buffers, even
if we may not end up using them.
Admittedly, the old logic might have skipped the buffer clearing
(especially the full buffer) in a fair bit of cases, but since
this is only relevant for object dtype, I assume this is fine.