lars
05d5dee606
The merged proc_idx/proc_map plumbing wasn't run through ruff format before merging; reflow only, no logic changes.
81 lines
3.0 KiB
Python
81 lines
3.0 KiB
Python
import polars as pl
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from scripts import steps_to_parquet
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def _frame() -> pl.DataFrame:
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# event 0: step (1,0) spawns track 2 (first-step pre_E=15) → e_sec=15.
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# event 1: step (1,0) spawns tracks 2 & 3 (20 + 30) → e_sec=50.
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return pl.DataFrame(
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{
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"event_id": [0, 0, 0, 1, 1, 1],
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"track_id": [1, 1, 2, 1, 2, 3],
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"step_no": [0, 1, 0, 0, 0, 0],
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"pre_E": [100.0, 80.0, 15.0, 200.0, 20.0, 30.0],
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"pdg": [11, 11, 22, 11, 22, 22],
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"pre_dx": [0.0, 0.0, 1.0, 0.0, 1.0, 0.0],
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"pre_dy": [0.0, 0.0, 0.0, 0.0, 0.0, 1.0],
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"pre_dz": [1.0, 1.0, 0.0, 1.0, 0.0, 0.0],
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"child_track_ids": [[2], [], [], [2, 3], [], []],
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}
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)
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def test_e_sec_sums_child_first_step_energy():
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out, n_orphaned = steps_to_parquet._add_secondary_attributes(_frame())
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assert n_orphaned == 0
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e_sec = dict(
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zip(zip(out["track_id"], out["step_no"], out["event_id"]), out["e_sec"])
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)
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assert e_sec[(1, 0, 0)] == 15.0 # one child, first-step pre_E 15
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assert e_sec[(1, 0, 1)] == 50.0 # two children, 20 + 30
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def test_e_sec_zero_when_no_children():
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out, _ = steps_to_parquet._add_secondary_attributes(_frame())
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childless = out.filter(
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(pl.col("event_id") == 0) & (pl.col("track_id") == 1) & (pl.col("step_no") == 1)
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)
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assert childless["e_sec"].item() == 0.0
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def test_e_sec_preserves_row_count_and_order():
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df = _frame()
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out, _ = steps_to_parquet._add_secondary_attributes(df)
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assert out.height == df.height
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assert out["pre_E"].to_list() == df["pre_E"].to_list()
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def test_orphaned_child_track_is_dropped_not_nulled():
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"""A listed child_track_id with no first step of its own (e.g. absorbed
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below the tracking threshold at birth) must not leave a null in
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sec_E_list/sec_pdg_list/etc: that null turns into NaN once the parquet
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round-trips through the loader, poisoning every later secondary slot in
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the step via encode_secondaries' cumulative "remaining budget". It must
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also be dropped from child_track_ids itself, so n_sec (len(child_track_ids)
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downstream) matches the actual, orphan-free secondary lists."""
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df = pl.DataFrame(
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{
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"event_id": [0, 0, 0],
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"track_id": [1, 1, 2],
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"step_no": [0, 1, 0],
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"pre_E": [100.0, 80.0, 15.0],
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"pdg": [11, 11, 22],
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"pre_dx": [0.0, 0.0, 1.0],
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"pre_dy": [0.0, 0.0, 0.0],
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"pre_dz": [1.0, 1.0, 0.0],
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# track 3 is listed as a child but never appears with its own step.
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"child_track_ids": [[2, 3], [], []],
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}
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)
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out, n_orphaned = steps_to_parquet._add_secondary_attributes(df)
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row = out.filter(
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(pl.col("event_id") == 0) & (pl.col("track_id") == 1) & (pl.col("step_no") == 0)
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)
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assert n_orphaned == 1
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assert row["child_track_ids"].to_list() == [[2]]
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assert row["e_sec"].item() == 15.0
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assert row["sec_E_list"].to_list() == [[15.0]]
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assert None not in row["sec_E_list"].item()
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