scripts/render_manuscript_figures.sh

#!/usr/bin/env bash
set -euo pipefail

export MPLBACKEND="${MPLBACKEND:-Agg}"
export MPLCONFIGDIR="${MPLCONFIGDIR:-tmp/mpl}"
mkdir -p "$MPLCONFIGDIR"

python3 -m pcmt.cli figures --input runs/run-small/traces.csv --output figures

if [[ -f data/real_videos/sample-20s-360p.mp4 && -f runs/detector-video/traces.csv ]]; then
  python3 -m pcmt.cli real-figures \
    --video data/real_videos/sample-20s-360p.mp4 \
    --traces runs/detector-video/traces.csv \
    --output figures \
    --use-gpu auto
fi

best_sweep="$(
python3 - <<'PY'
from pathlib import Path
import csv

candidates = [
    Path("runs/remote_gpu/benchmark-sweep-gpu"),
    Path("runs/remote_gpu/youcook2-scale2-sweep-gpu"),
    Path("runs/remote_gpu/youcook2-batched-sweep-gpu"),
    Path("runs/remote_gpu/ave-scale1-sweep-gpu"),
    Path("runs/remote_gpu/youcook2-sweep"),
    Path("runs/remote_gpu/sweep-detector-gpu-scale1"),
    Path("runs/remote_gpu/sweep-detector-gpu"),
    Path("runs/sweep-detector"),
]

def rows(path: Path) -> int:
    with (path / "sweep_traces.csv").open(newline="") as handle:
        return sum(1 for _ in csv.DictReader(handle))

valid = [path for path in candidates if (path / "sweep_traces.csv").exists() and (path / "sweep_metrics.json").exists()]
if valid:
    print(max(valid, key=rows))
PY
)"

if [[ -n "$best_sweep" ]]; then
  python3 -m pcmt.cli sweep-figures \
    --traces "$best_sweep/sweep_traces.csv" \
    --metrics "$best_sweep/sweep_metrics.json" \
    --output figures
  echo "publication_sweep_source=$best_sweep"
fi

if [[ -z "$best_sweep" ]]; then
  echo "publication_sweep_source=run-small-fallback"
fi

best_robustness="$(
python3 - <<'PY'
from pathlib import Path
import csv

candidates = [
    Path("runs/remote_gpu/robustness-atlas-gpu"),
    Path("runs/robustness-atlas"),
]

def rows(path: Path) -> int:
    with (path / "stability_phase_diagram_values.csv").open(newline="") as handle:
        return sum(1 for _ in csv.DictReader(handle))

valid = [path for path in candidates if (path / "stability_phase_diagram_values.csv").exists()]
if valid:
    print(max(valid, key=rows))
PY
)"

if [[ -n "$best_robustness" ]]; then
  python3 -m pcmt.cli robustness-figures --input "$best_robustness" --output figures
  echo "publication_robustness_source=$best_robustness"
fi