Vendor lammps-logfile 1.1.4 wheel for piplite - #422
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Replaces the 1.1.3 wheel in pypi/ with the wheel published to PyPI as lammps-logfile 1.1.4 (2026-08-28). Changes since 1.1.3 (https://github.com/henriasv/lammps-logfile/blob/master/CHANGELOG.md): - Thermo blocks not terminated by a "Loop time" line (interrupted or canceled runs) are parsed correctly instead of swallowing the trailing output as a garbage row that turns numeric columns into strings. - read_log on a non-mmappable stream (io.StringIO) falls back to the line-based reader instead of returning an empty DataFrame. - Logs with many run commands no longer parse quadratically slowly. Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
andeplane
approved these changes
Aug 31, 2026
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Swaps the vendored
pypi/lammps_logfile-1.1.3-py3-none-any.whlfor the wheel published to PyPI today as lammps-logfile 1.1.4 (sha256 matches the PyPI file), so%pip install lammps-logfilein Atomify notebooks picks it up on the nextmake jupyter/ Pages deploy. No other changes — the piplite index is regenerated frompypi/at build time.Changes since 1.1.3 (changelog):
Loop timeline — e.g. a run that was stopped/canceled in Atomify — are now parsed correctly. Previously the trailing output was swallowed into the data as a garbage row, turning numeric columns into strings, so plotting a canceled run'slog.lammpsfailed.read_logon a non-mmappable stream (io.StringIO) now falls back to the line-based reader instead of returning an empty DataFrame.runcommands no longer parse quadratically slowly (77 MB / 2000 runs: 56 s → 0.7 s).Tested: wheel installs and imports as 1.1.4 (pure-Python
py3-none-any, same dependency set as 1.1.3: pandas, numpy, matplotlib).