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## main #5 +/- ##
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- Coverage 100.00% 97.64% -2.36%
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Files 1 3 +2
Lines 25 85 +60
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+ Hits 25 83 +58
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| assert len(nf) == n_obj | ||
| assert len(nf["objectForcedSource.psfFlux"]) == n_obj * n_src | ||
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| whiten = nf.reduce( |
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These whitening assertions feel a little out of place in this dataset generation tests.
| rng=rng, | ||
| ) | ||
| assert len(nf) == n_obj | ||
| assert len(nf["objectForcedSource.psfFlux"]) == n_obj * n_src |
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Would be good to at least assert names of columns.
| n_obj: int = 1000, | ||
| n_src: int | NDArray = 100, | ||
| err: None | Callable[[float, Generator], float] = None, | ||
| u: float | Callable[[float, float], float] = 1.0, |
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Can this have a more descriptive, even uncertain_underestimate
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Adds a simple MLP model for the u-function and a train step function