Suya OCR API — vLLM-backed, OpenAI-compatible OCR service

FastAPI service wrapping the Surya-OCR-2 model (datalab-to) served through vLLM:
legacy /v1/api/ai/* endpoints, an OpenAI-compatible /v1/chat/completions endpoint,
a coalescing request batcher, a local OCR CLI, Docker packaging, multilingual
example outputs, and quantization/concurrency benchmarks.

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>

tests/test_quant_manifest.py

@@ -0,0 +1,29 @@
+from pathlib import Path
+
+from scripts.quant.manifest import load_manifest
+
+
+def test_load_manifest_skips_blanks_and_comments(tmp_path):
+    repo = tmp_path / "repo"
+    repo.mkdir()
+    (repo / "a.png").write_bytes(b"x")
+    (repo / "b.jpg").write_bytes(b"y")
+    manifest = tmp_path / "manifest.txt"
+    manifest.write_text("# header\n\na.png\nb.jpg\n", encoding="utf-8")
+
+    result = load_manifest(manifest, repo)
+
+    assert result == [repo / "a.png", repo / "b.jpg"]
+
+
+def test_load_manifest_raises_on_missing_image(tmp_path):
+    repo = tmp_path / "repo"
+    repo.mkdir()
+    manifest = tmp_path / "manifest.txt"
+    manifest.write_text("missing.png\n", encoding="utf-8")
+
+    try:
+        load_manifest(manifest, repo)
+        assert False, "expected FileNotFoundError"
+    except FileNotFoundError as exc:
+        assert "missing.png" in str(exc)