Download examples/quickstart.py from Biogod/HESRT: direct link, hf CLI and curl.
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https://huggingface.co/datasets/Biogod/HESRT/resolve/main/examples/quickstart.py
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hf download hf://datasets/Biogod/HESRT/examples/quickstart.py
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curl -L -o quickstart.py https://huggingface.co/datasets/Biogod/HESRT/resolve/main/examples/quickstart.py
2.03 kB
| """Download, verify and open one small HESRT sample (public; no login needed).""" | |
| from __future__ import annotations | |
| import argparse | |
| import json | |
| from pathlib import Path | |
| import anndata as ad | |
| from PIL import Image | |
| from hesrt_io import RELEASE_TAG, download_sample, load_catalog | |
| def main() -> None: | |
| parser = argparse.ArgumentParser(description=__doc__) | |
| parser.add_argument("--gsm", default="GSM8915497", help="Default: 3.2 MB pancreas package") | |
| parser.add_argument("--revision", default=RELEASE_TAG) | |
| parser.add_argument("--output", type=Path, default=Path("hesrt_demo")) | |
| parser.add_argument("--cache-dir", default=None) | |
| args = parser.parse_args() | |
| catalog, revision = load_catalog(args.revision, args.cache_dir) | |
| selected = catalog.loc[catalog.gsm_id.eq(args.gsm)] | |
| if len(selected) != 1: | |
| parser.error(f"Expected one GSM, found {len(selected)}") | |
| row = selected.iloc[0] | |
| folder = download_sample(row, args.output, revision, args.cache_dir) | |
| data = ad.read_h5ad(folder / "spatial.h5ad", backed="r") | |
| try: | |
| coordinate_source = row.coordinate_location | |
| if coordinate_source == "obsm/spatial": | |
| coordinates = data.obsm["spatial"] | |
| elif coordinate_source == "obs/x,obs/y": | |
| coordinates = data.obs[["x", "y"]].to_numpy() | |
| else: | |
| raise ValueError(f"Inspect provenance for coordinate layout {coordinate_source!r}") | |
| with Image.open(folder / "wsi.tif") as image: | |
| print(json.dumps({"gsm_id": args.gsm, "revision": revision, | |
| "folder": str(folder), "shape": list(data.shape), | |
| "coordinate_source": coordinate_source, "coordinate_shape": list(coordinates.shape), | |
| "image_format": image.format, "image_size": list(image.size), | |
| "archive_and_all_members_verified": True}, indent=2)) | |
| finally: | |
| data.file.close() | |
| print("Inspect alignment_qc.png and provenance.json before spatial modeling.") | |
| if __name__ == "__main__": | |
| main() | |