v0.10.1

Changed

• Repositioned the project description everywhere (README, PyPI, docs site + metadata, citation, paper): mushin is a framework-agnostic sweep engine built on hydra-zen, with first-class PyTorch Lightning integration — the sweep layer never imports Lightning (Lightning ships in the base install for the deep-learning path). (#146)

Fixed

• A second run() on the same workflow instance no longer reuses the previous sweep's cached overrides, which silently NaN-filled the new grid. (#145)
• ±Inf metric values survive the sidecar round-trip with their sign instead of collapsing to NaN. (#145)
• load_from_dir now recovers each cell's config-group choice, so a finished group sweep reloads with real values instead of an all-NaN grid. (#145)
• diff no longer reports metric deltas from failed/skipped cells, and a failing cell removes the metrics sidecar left by a prior successful attempt. (#145)
• show/best/diff/export.table now scope to the latest sweep's manifest, excluding stale cell dirs left by an earlier sweep in a reused working_dir (the mid-sweep live view is preserved). (#145)
• Study training-sweep resume now fingerprints the methods mapping: renaming, reordering, or editing a method (including a functools.partial's bound arguments) re-runs cells instead of silently reusing checkpoints trained by old code. One-time cost: the first resume of a sweep created before this change re-runs all cells (its cells lack the fingerprint). (#145)
• Fail-soft, sampled, and budget-skipped sweeps can now be reloaded from disk: failed/skipped cells NaN-fill instead of load_metrics raising FileNotFoundError, and a stale sidecar in a failed cell's dir is never loaded. (#145)
• compare_methods(allow_incomplete=True) masks constant (zero-variance) methods over the completed seeds and keeps ±Inf cells in the pairing instead of silently excluding them; summary(reference=...) rejects unknown method names. (#147)
• max_total_seconds runs on a monotonic clock — a wall-clock step (NTP/DST) mid-sweep can no longer stretch or prematurely expire the budget. (#147)
• show/export.table: a metric sharing a swept param's name renders as <name> (metric) instead of overwriting the param column, and a typo'd metrics= entry raises instead of silently dropping the column. (#147)
• The grid accounting (dry-run preview, confirm_above gate, sample= selection) no longer silently excludes user params whose names merely start with "hydra" (e.g. hydraulic=). (#147)
• dry_run reports the sampled cell count when sample= is set (the cell-count gate still applies to the full grid, since every cell is launched regardless of sampling); a fresh run reusing a working_dir no longer inherits the prior sweep's notes/tags, and tags=[] on resume clears them. (#147)
• MCP get_failures/get_provenance raise for a nonexistent path instead of reporting an empty-but-valid result; MetricsCallback writes standalone trainer.validate() metrics to validate_metrics.pt; seed_everything_per_rank falls back to LOCAL_RANK; provenance records dirty: null when git status cannot be verified. (#147)
• working_dir paths containing = or , (e.g. dirs named lr=0.1) now work; duplicate sweep values via raw overrides= are rejected instead of silently collapsing to one cell. (#147)

Removed

• Removed the dead pre-Lightning-1.6 HydraDDP code path (~130 lines) — the dependency floor is pytorch-lightning >= 2.4. (#147)

Misc

• Reframed the workflows guide's hyperparameter-search section: mushin does
  grid and random search (often the whole job for a small discrete space, with the
  labeled dataset + stats as a bonus); it does not do adaptive/Bayesian search over
  large or continuous spaces, which is where a dedicated optimizer like Optuna is
  complementary. Replaces the earlier "mushin is not a hyperparameter optimizer"
  overstatement.
• The README shows a "latest release" badge linking to the newest GitHub release
  and its notes, alongside the existing PyPI version badge.