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| # Restore consistent magnetic-dipole electromagnetic predictions | |
| A geophysical electromagnetic forward-modeling workflow uses a magnetic dipole | |
| source and reports magnetic observations at several receiver locations. The | |
| calculation completes with finite values, but the result is not consistent with | |
| the expected physical definition. This is especially | |
| concerning for a forward model, because a finite numerical result can still | |
| represent the wrong physical experiment. | |
| Study the complete source snapshot and public reproduction. Trace the physical | |
| calculation through the public | |
| survey, source, simulation, and receiver interfaces, and repair the source so | |
| that valid magnetic-dipole calculations agree with the scientific definition. | |
| The repair must generalize to other dipole orientations, magnetic | |
| permeabilities, receiver locations, mesh sizes, and supported forward-modeling | |
| workflows. | |
| Do not hard-code the supplied observations or replace the solver with a fixed | |
| answer. Work only under this task directory. The evaluation environment is | |
| offline; all required Python dependencies and source files are provided. | |
| Run the public diagnostic with: | |
| ```bash | |
| python reproduce.py | |
| ``` | |
| The command returns `0` when the candidate workflow produces finite receiver | |
| observations, `1` only when it cannot produce a finite nonempty observation, and | |
| `2` for an import, path, dependency, or other runner failure. The public report | |
| is diagnostic; the verifier performs the independent physical consistency | |
| checks on broader cases. | |