| """ |
| font_stats_table.py |
| |
| Counts font families and individual font files per script in fonts_data/. |
| Script list is taken from the scripts/ debug CSVs of a reference model. |
| Stats reported by tier (High / Mid / Low) + LaTeX table. |
| """ |
|
|
| import os |
| import numpy as np |
| from collections import defaultdict |
|
|
| |
| FONTS_DATA_DIR = "fonts_data" |
| SCRIPTS_DIR = "/Users/amirkargaran/GitHub/uniocr.bench/evaluation/res_v1.0/gemini-3.1-flash-lite-preview+img_plain/scripts" |
|
|
| HIGH_SCRIPTS = {"Latn"} |
| MID_SCRIPTS = {"Arab", "Cyrl", "Deva", "Hani", "Jpan", "Hang", "Grek", "Hebr", "Thai"} |
|
|
|
|
| |
|
|
| def get_bench_scripts(scripts_dir): |
| scripts = set() |
| for f in os.listdir(scripts_dir): |
| if f.endswith(".csv"): |
| scripts.add(f.replace(".csv", "")) |
| return sorted(scripts) |
|
|
|
|
| def tier(script): |
| if script in HIGH_SCRIPTS: |
| return "High" |
| if script in MID_SCRIPTS: |
| return "Mid" |
| return "Low" |
|
|
|
|
| def count_fonts(fonts_data_dir, script): |
| """Returns (n_families, n_files) for a script.""" |
| script_dir = os.path.join(fonts_data_dir, script) |
| if not os.path.isdir(script_dir): |
| return 0, 0 |
| families = [d for d in os.listdir(script_dir) |
| if os.path.isdir(os.path.join(script_dir, d))] |
| n_files = 0 |
| for fam in families: |
| fam_dir = os.path.join(script_dir, fam) |
| n_files += sum( |
| 1 for f in os.listdir(fam_dir) |
| if f.lower().endswith((".ttf", ".otf")) |
| ) |
| return len(families), n_files |
|
|
|
|
| def stats(values): |
| if not values: |
| return {} |
| a = np.array(values, dtype=float) |
| return { |
| "n": len(a), |
| "total": int(a.sum()), |
| "mean": float(a.mean()), |
| "median": float(np.median(a)), |
| "std": float(a.std()), |
| "min": int(a.min()), |
| "max": int(a.max()), |
| "zero": int((a == 0).sum()), |
| } |
|
|
|
|
| |
|
|
| def main(): |
| bench_scripts = get_bench_scripts(SCRIPTS_DIR) |
| print(f"Benchmark scripts found: {len(bench_scripts)}\n") |
|
|
| rows = [] |
| for script in bench_scripts: |
| n_fam, n_files = count_fonts(FONTS_DATA_DIR, script) |
| rows.append({ |
| "script": script, |
| "tier": tier(script), |
| "families": n_fam, |
| "files": n_files, |
| }) |
|
|
| tier_rows = defaultdict(list) |
| for r in rows: |
| tier_rows[r["tier"]].append(r) |
|
|
| |
| for tier_name in ["High", "Mid", "Low"]: |
| tr = sorted(tier_rows[tier_name], key=lambda x: -x["families"]) |
| st = stats([r["families"] for r in tr]) |
| print(f"── {tier_name}-resource (n={st['n']} total={st['total']} " |
| f"mean={st['mean']:.1f} median={st['median']:.0f} " |
| f"min={st['min']} max={st['max']} zero={st['zero']}) ──") |
| for r in tr: |
| mark = "" if r["families"] > 0 else " ← NO FONTS" |
| print(f" {r['script']:<6} families={r['families']:3d} files={r['files']:4d}{mark}") |
| print() |
|
|
| |
| print("\n── Summary LaTeX table ──────────────────────────────────────────\n") |
| print(r"\begin{table}[ht]") |
| print(r"\centering") |
| print(r"\caption{Google Fonts availability per resource tier. " |
| r"Counts are per font family.}") |
| print(r"\label{tab:font_stats}") |
| print(r"\begin{tabular}{l r r r r r r}") |
| print(r"\toprule") |
| print(r"Tier & Scripts & Total & Mean & Median & Min & Max \\") |
| print(r"\midrule") |
|
|
| for tier_name in ["High", "Mid", "Low"]: |
| tr = tier_rows[tier_name] |
| fams = [r["families"] for r in tr] |
| st = stats(fams) |
| print(f" {tier_name} & {st['n']} & {st['total']} & {st['mean']:.1f} " |
| f"& {st['median']:.0f} & {st['min']} & {st['max']} \\\\") |
|
|
| all_st = stats([r["families"] for r in rows]) |
| print(r"\midrule") |
| print(f" \\textbf{{All}} & {all_st['n']} & {all_st['total']} & {all_st['mean']:.1f} " |
| f"& {all_st['median']:.0f} & {all_st['min']} & {all_st['max']} \\\\") |
| print(r"\bottomrule") |
| print(r"\end{tabular}") |
| print(r"\end{table}") |
|
|
|
|
| if __name__ == "__main__": |
| main() |