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test_v2.0/fake_sampling_submission/create_fake_submission.py

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+#!/usr/bin/env python3
+
+import os
+import shutil
+import zipfile
+from pathlib import Path
+
+import numpy as np
+from PIL import Image
+
+
+def main() -> None:
+    num_images = 250
+    img_size = (512, 512)         
+    temp_dir = Path("submission_temp")
+    zip_name = "submission.zip"
+
+    if temp_dir.exists():
+        shutil.rmtree(temp_dir)
+    temp_dir.mkdir()
+
+    for idx in range(num_images):
+        data = np.random.randint(0, 256, (*img_size[::-1], 3), dtype=np.uint8)
+        img = Image.fromarray(data, mode="RGB")
+        img.save(temp_dir / f"{idx}.png")
+
+    readme_content = """{   
+   "method": "example_method",
+   "team": "demo_team",
+   "authors": "example_author",
+   "e-mail": "N/A",
+   "institution": "example_institution",
+   "country": "example_country"
+}
+"""
+    (temp_dir / "README.txt").write_text(readme_content, encoding="utf-8")
+
+    if Path(zip_name).exists():
+        Path(zip_name).unlink()  # overwrite any old file
+
+    with zipfile.ZipFile(zip_name, "w", zipfile.ZIP_DEFLATED) as zf:
+        for file_path in temp_dir.iterdir():
+            zf.write(file_path, arcname=file_path.name)
+
+    shutil.rmtree(temp_dir)
+    print(f"Created {zip_name} containing {num_images} PNGs and README.txt")
+
+
+if __name__ == "__main__":
+    main()
+

test_v2.0/fake_sampling_submission/submission.zip

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+version https://git-lfs.github.com/spec/v1
+oid sha256:22a47c0c7e8b253c5547c67dfa3cb6c1475784ad9696abc100dbb4ea6ac356cf
+size 197104889