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Speed up EDF and BDF reading
- #14237
#14237
Merged
larsoner
merged 14 commits into
mne-tools:main
mne-tools/mne-python:main
from
bruAristimunha:perf/raw-io-cold-path
bruAristimunha/mne-python:perf/raw-io-cold-path
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Aug 29, 2026
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Speed up EDF and BDF reading
#14237
larsoner
merged 14 commits into
mne-tools:main
mne-tools/mne-python:main
from
bruAristimunha:perf/raw-io-cold-path
bruAristimunha/mne-python:perf/raw-io-cold-path
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Commits
Commits on Aug 28, 2026
Avoid materializing Raw time vectors during setup
bruAristimunha
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1744ac8
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Speed up uniform EDF and BDF decoding
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Use cache-sized blocks for BrainVision reads
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Reuse parsed EEGLAB metadata for annotations
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Pipeline large EDF, BDF, and BrainVision preloads
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Add changelog entry for the cold-path IO speedups
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Let the stride path handle EDF+ annotation channels
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Merge remote-tracking branch 'upstream/main' into perf/raw-io-cold-path
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Trim the PR: drop the byte budget, threading and test bloat
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Simplify the EDF stride decode to one branch in the existing loop
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Merge branch 'main' into perf/raw-io-cold-path
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Address review: document the readable decode, add a times fixture
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Allowlist the fail_if_times_materialized fixture for vulture
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Re-run CI (nilearn intersphinx inventory was unreachable)
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