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Rosetta
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Classes | |
| class | Serialization |
Functions | |
| Optional[Union[str, bool]] | _parse_compression (Any obj) |
| PackedPose | update_scores (PackedPose packed_pose) |
Variables | |
| string | __author__ = "Jason C. Klima" |
| T = TypeVar("T", bound=Callable[..., Any]) | |
| G = TypeVar("G") | |
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private |
Parse the input `compression` attribute of `Serialization` class.
| PackedPose pyrosetta.distributed.cluster.serialization.update_scores | ( | PackedPose | packed_pose | ) |
Cache scores into the `PackedPose` object that are not cached in the `Pose` object and do not
have keys with reserved scoretypes, then return the updated `PackedPose` object.
Args:
packed_pose: the input `PackedPose` object in which to update scores.
Returns:
A new `PackedPose` object with scores cached in its `Pose` object if scores could be cached,
otherwise the input `PackedPose` object.
References set().
Referenced by pyrosetta.distributed.cluster.io.IO._format_result(), pyrosetta.distributed.cluster.serialization.Serialization.compress_packed_pose(), pyrosetta.distributed.cluster.tools.reserve_scores(), pyrosetta.tests.distributed.cluster.test_smoke.ScoresTest.test_detached_scores(), pyrosetta.tests.distributed.cluster.test_smoke.ScoresTest.test_detached_scores_with_reserve_scores(), and pyrosetta.tests.distributed.cluster.test_smoke.SerializationTest.test_serialization().
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private |
| pyrosetta.distributed.cluster.serialization.G = TypeVar("G") |
| pyrosetta.distributed.cluster.serialization.T = TypeVar("T", bound=Callable[..., Any]) |