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a1f48d9 | 1 2 3 4 5 6 7 8 9 | import json
from pathlib import Path
from src.predict import predict_next7d_occupancy
cases = json.loads((Path(__file__).parent / "examples/sample_cases.json").read_text(encoding="utf-8"))
for name, features in cases.items():
result = predict_next7d_occupancy(features)
print(name, ':', result['predicted_next_7d_occupancy_percent'], '%', '| model:', result['model_name'])
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