feat(core, distributions): switch to generics #96
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iraedeus
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Nov 7, 2025
rework_tests/unit/distributions/test_continuous_distribution.py
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iraedeus
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Nov 18, 2025
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There are many uses of np.isclose or np.assert_allclose with arbitrary atol values for all dtypes. I suggest trying atol=np.finfo(dtype).eps
| X = np.asarray(X, dtype=float64) | ||
| X = np.asarray(X, dtype=self.dtype) | ||
| component_pdfs = np.array([comp.pdf(X) for comp in self.components]) | ||
| return np.asarray(np.dot(self.weights, component_pdfs)) |
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I would rewrite this method for better numerical stability:
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| return np.asarray(np.dot(self.weights, component_pdfs)) | |
| return np.exp(self.lpdf(X)) |
Then you will need to synchronize the corresponding test like this:
| """ | ||
|
|
||
| X = np.atleast_1d(X) | ||
| X = np.atleast_1d(X).astype(self.dtype) |
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| X = np.atleast_1d(X).astype(self.dtype) | |
| X = np.asarray(X, dtype=self.dtype) |
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VITYANA
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I think that's good, but somewhere maybe it won't work with float16 (np.isclose etc)
iraedeus
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Dec 4, 2025
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This pull request refactors the core and distributions modules to use generic numeric types.
Implementation:
typing.Genericwith aTypeVar("DType").