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| """Squidpy backend adapter for rapids_singlecell. | ||
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| The dispatch decorator introspects the real RSC function signatures | ||
| (lazily imported on first access), so no need to duplicate them here. | ||
| """ | ||
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| from __future__ import annotations | ||
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| import importlib | ||
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| class RscSquidpyBackend: | ||
| """Backend adapter exposing rapids_singlecell GPU implementations to squidpy.""" | ||
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| name = "rapids_singlecell" | ||
| aliases = ["rapids-singlecell", "rsc", "cuda", "gpu"] | ||
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| # squidpy function name -> module that implements it | ||
| _functions = { | ||
| "spatial_autocorr": "rapids_singlecell.squidpy_gpu", | ||
| "co_occurrence": "rapids_singlecell.squidpy_gpu", | ||
| "ligrec": "rapids_singlecell.squidpy_gpu", | ||
| } | ||
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| def __getattr__(self, name: str): | ||
| if name in self._functions: | ||
| func = getattr(importlib.import_module(self._functions[name]), name) | ||
| setattr(self, name, func) # cache on instance | ||
| return func | ||
| raise AttributeError(f"{type(self).__name__!r} has no attribute {name!r}") |
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why the separate class? couldn't it just be a module that lazy re-exports the relevant functions?
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This is the rapids-singlecell part of the backend for scverse/squidpy#1151