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Avoid generator-based normalization for common flush result types in fused stateless stream/iter transforms. This keeps the corrected flush ordering while reducing overhead for already-normalized batches and primitive byte outputs. Signed-off-by: Kamat, Trivikram <16024985+trivikr@users.noreply.github.com> Assisted-by: openai:gpt-5.5
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Codecov Report❌ Patch coverage is 64.06250% with 23 lines in your changes missing coverage. Please review.
@@ Coverage Diff @@
## main #63605 +/- ##
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- Coverage 90.29% 90.28% -0.02%
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Files 730 730
Lines 234695 234755 +60
Branches 43956 43967 +11
==========================================
+ Hits 211927 211942 +15
- Misses 14494 14546 +52
+ Partials 8274 8267 -7
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Avoid generator-based normalization for common flush result types in fused stateless stream/iter transforms. This keeps the corrected flush ordering while reducing overhead for already-normalized batches and primitive byte outputs. Signed-off-by: Kamat, Trivikram <16024985+trivikr@users.noreply.github.com> Assisted-by: openai:gpt-5.5 PR-URL: #63605 Reviewed-By: Matteo Collina <matteo.collina@gmail.com>
Avoid generator-based normalization for common flush result types in fused stateless stream/iter transforms. This keeps the corrected flush ordering while reducing overhead for already-normalized batches and primitive byte outputs. Signed-off-by: Kamat, Trivikram <16024985+trivikr@users.noreply.github.com> Assisted-by: openai:gpt-5.5 PR-URL: nodejs#63605 Reviewed-By: Matteo Collina <matteo.collina@gmail.com>
Avoid generator-based normalization for common flush result types in fused stateless stream/iter transforms. This keeps the corrected flush ordering while reducing overhead for already-normalized batches and primitive byte outputs. Signed-off-by: Kamat, Trivikram <16024985+trivikr@users.noreply.github.com> Assisted-by: openai:gpt-5.5 PR-URL: #63605 Backport-PR-URL: #64675 Reviewed-By: Matteo Collina <matteo.collina@gmail.com>
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Optimize stream/iter stateless transform flush handling by
fast-pathing common flush result shapes.
This avoids generator-based normalization for already-normalized
batches and primitive byte outputs while preserving the corrected
flush ordering behavior.
Tested using temporary benchmark specific to the change
Benchmark codeAssisted-by: openai:gpt-5.5