Spaces:
Running
Running
| """Input size limits for the Space. | |
| The Space is one container on shared CPU hardware serving every visitor at once, so | |
| a large raster is not just slow for its uploader: it occupies the CPU and the memory | |
| that everyone else's request needs. The QGIS plugin has no equivalent limit because | |
| it runs on the user's own desktop, which is exactly what the message below points at. | |
| """ | |
| # Above this, the run is allowed but the user is warned and pointed at the plugin. | |
| SOFT_LIMIT_MP = 4.0 | |
| # Above this the container is likely to be killed before the run finishes. | |
| HARD_LIMIT_MP = 50.0 | |
| LOCAL_USE_NOTE = ( | |
| "Large rasters: run this on your own machine, with no size limit — either the " | |
| "[FraXtex QGIS plugin](https://gitlab.com/ayoubft/qfraxtex) or " | |
| "`git clone https://huggingface.co/spaces/ayoubft/fractex2d && " | |
| "pip install -r requirements.txt && python app.py`." | |
| ) | |
| def megapixels(height, width): | |
| return (height * width) / 1e6 | |
| def check_size(height, width, feedback): | |
| """Warn past the soft limit, abort past the hard one. | |
| Raises `FatalError` via `feedback.reportError` when the raster is large enough | |
| that the run would most likely die partway through anyway. | |
| """ | |
| mp = megapixels(height, width) | |
| if mp > HARD_LIMIT_MP: | |
| feedback.reportError( | |
| f"Input is {mp:.1f} MP ({width}x{height}), above this Space's " | |
| f"{HARD_LIMIT_MP:.0f} MP limit. A raster this size exhausts the shared " | |
| f"container before the run finishes.\n\n{LOCAL_USE_NOTE}", | |
| fatalError=True, | |
| ) | |
| elif mp > SOFT_LIMIT_MP: | |
| feedback.pushWarning( | |
| f"Input is {mp:.1f} MP ({width}x{height}). Above ~{SOFT_LIMIT_MP:.0f} MP " | |
| "this shared CPU Space gets slow, and the request may time out before it " | |
| f"returns.\n\n{LOCAL_USE_NOTE}" | |
| ) | |
| return mp | |