--- /dev/null
+from clustering_base import clustering_job, clustering_result
+from grid_sweep import grid_sweep
+from dataclasses import dataclass
+from itertools import chain
+from pathlib import Path
+
+class lsi_mixin():
+ def set_lsi_dims(self, lsi_dims):
+ self.lsi_dims = lsi_dims
+
+@dataclass
+class lsi_result_mixin:
+ lsi_dimensions:int
+
+class lsi_grid_sweep(grid_sweep):
+ def __init__(self, jobtype, subsweep, inpath, lsi_dimensions, outpath, *args, **kwargs):
+ self.jobtype = jobtype
+ self.subsweep = subsweep
+ inpath = Path(inpath)
+ if lsi_dimensions == 'all':
+ lsi_paths = list(inpath.glob("*"))
+ else:
+ lsi_paths = [inpath / (dim + '.feather') for dim in lsi_dimensions]
+
+ lsi_nums = [p.stem for p in lsi_paths]
+ self.hasrun = False
+ self.subgrids = [self.subsweep(lsi_path, outpath, lsi_dim, *args, **kwargs) for lsi_dim, lsi_path in zip(lsi_nums, lsi_paths)]
+ self.jobs = list(chain(*map(lambda gs: gs.jobs, self.subgrids)))