Remove 'sorted' parameter from feature.many calls

Author: hombit

light-curve/README.md

@@ -187,7 +187,7 @@ lcs_arrow = pa.array(
 )
 
 feature = lc.Extractor(lc.Kurtosis(), lc.Skew(), lc.ReducedChi2())
-result = feature.many(lcs_arrow, sorted=False, check=False, n_jobs=2)
+result = feature.many(lcs_arrow, check=False, n_jobs=2)
 print(f"Features: {feature.names}")
 print(f"Results shape: {result.shape}")
 ```
@@ -218,7 +218,7 @@ df = pl.DataFrame({"object_id": object_id, "t": t, "m": m, "sigma": sigma})
 nested = df.group_by("object_id").agg(pl.struct("t", "m", "sigma").alias("lc"))
 
 feature = lc.Extractor(lc.Amplitude(), lc.BeyondNStd(nstd=2), lc.LinearFit(), lc.StetsonK())
-result = feature.many(nested["lc"], sorted=False, check=False, n_jobs=1)
+result = feature.many(nested["lc"], check=False, n_jobs=1)
 
 # Join feature columns back to the nested DataFrame
 nested = nested.with_columns(