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avoid buffer size overflow #31
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
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@@ -248,7 +248,7 @@ def generate_sft(self, seeds, ref_img): | |
| seeds[idx * global_chunk_sz : (idx + 1) * global_chunk_sz].shape[0] | ||
| ) | ||
| array_sequence = ArraySequence( | ||
| (item for gen in generators for item in gen), buffer_size // MEGABYTE | ||
| (item for gen in generators for item in gen), buffer_size | ||
| ) | ||
|
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| return StatefulTractogram(array_sequence, ref_img, Space.VOX) | ||
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In
generate_sft, theArraySequenceis built from generators that are created fromSeedBatchPropagatorstate. BecauseSeedBatchPropagator.as_generator()reads fromself.slines/self.sline_lens(which are overwritten on eachpropagate()call), collecting generators across multiple chunks and consuming them after the loop will yield the last chunk’s data repeatedly (earlier chunk results are lost). Consider materializing/copying each chunk’s results before the nextpropagate(), or restructure to yield streamlines immediately per chunk instead of storing generators.