Files
tfm_ainventory/venv/lib/python3.12/site-packages/numpy/_pytesttester.pyi
Daniel Bedeleanu 3aafacab12 feat(phase1): implement OpenCV image processing pipeline
- Create ImageProcessor service with EXIF orientation detection
- Implement smart cropping via OpenCV contour detection (10% padding)
- Add text orientation detection using Hough line transform
- Resize and compress images to 1200px with 85% JPEG quality
- Generate 200px square thumbnails with center crop
- Fallback to Pillow if OpenCV fails
- Comprehensive test suite: 28 tests all passing
- File size validation (reject >10MB)
- Graceful error handling for corrupted/invalid images
- Update requirements.txt with opencv-python, piexif, python-magic
2026-04-20 22:17:11 +03:00

19 lines
503 B
Python

from collections.abc import Iterable
from typing import Literal as L
__all__ = ["PytestTester"]
class PytestTester:
module_name: str
def __init__(self, module_name: str) -> None: ...
def __call__(
self,
label: L["fast", "full"] = "fast",
verbose: int = 1,
extra_argv: Iterable[str] | None = None,
doctests: L[False] = False,
coverage: bool = False,
durations: int = -1,
tests: Iterable[str] | None = None,
) -> bool: ...