Files
surya-ocr/tests/test_quant_manifest.py
T
Fu DaiandClaude Opus 4.8 1a585693be 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>
2026-06-17 10:20:02 +04:00

30 lines
856 B
Python

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)