| """Pinned source-derived numerical inference. Research fixtures only.""" |
| from pathlib import Path |
| import json,sys,argparse |
| ROOT=Path(__file__).resolve().parent |
| sys.path.insert(0,str(ROOT)) |
| from humanization_research.parameters import ParameterPack,ContractError |
| from humanization_research.predictors import NCLPredictor,MRIPredictor,RhythmPredictor |
| PIN='f687e0fdcf1f807988d275102cbe2c8c21e923e959ef2ec8356f90c189b89e7b' |
| PRODUCT='rhythm' |
| def run(request): |
| if type(request)!=dict or request.get('synthetic') is not True:raise ContractError('Synthetic research-use declaration required; patient execution is disabled') |
| p=ParameterPack(ROOT/'parameters',PIN) |
| f=request.get('features') |
| if PRODUCT=='ncl':return NCLPredictor(p).run(f,synthetic=True) |
| if PRODUCT=='mri':return MRIPredictor(p).run(f,space=request.get('space','huret'),variant=request.get('variant','optimized'),synthetic=True) |
| return RhythmPredictor(p).run(f,synthetic=True,acknowledge_export_version_mismatch=request.get('acknowledge_export_version_mismatch') is True) |
| def main(): |
| ap=argparse.ArgumentParser();ap.add_argument('--request',type=Path,default=ROOT/'example.json');a=ap.parse_args() |
| if a.request.stat().st_size>1000000:raise ValueError('Request too large') |
| def pairs(items): |
| out={} |
| for k,v in items: |
| if k in out:raise ValueError('Duplicate JSON key') |
| out[k]=v |
| return out |
| request=json.loads(a.request.read_text(),object_pairs_hook=pairs,parse_constant=lambda _:(_ for _ in ()).throw(ValueError('Nonfinite JSON'))) |
| print(json.dumps(run(request),ensure_ascii=False,indent=2,allow_nan=False)) |
| if __name__=='__main__': |
| try:main() |
| except (OSError,ValueError,TypeError,KeyError) as e:print(json.dumps({'status':'ERROR','reason':str(e)}),file=sys.stderr);raise SystemExit(2) |
|
|
