Fixed issue with hashing a ndarray by using tuple.

This commit is contained in:
Harrison Deng 2025-02-05 20:43:53 +00:00
parent fb99526162
commit 1c6e1cfb35
2 changed files with 5 additions and 4 deletions

View File

@ -39,8 +39,8 @@ class AsyncPairwiseAlignmentEngine(AbstractContextManager):
return PairwiseAlignment( return PairwiseAlignment(
top_alignment.sequences[0], top_alignment.sequences[0],
top_alignment.sequences[1], top_alignment.sequences[1],
top_alignment.indices[0], tuple(top_alignment.indices[0]),
top_alignment.indices[1], tuple(top_alignment.indices[1]),
AlignmentStats( AlignmentStats(
percent_identity=top_alignment_identities/top_alignment.length, percent_identity=top_alignment_identities/top_alignment.length,
mismatches=top_alignment_mismatches, mismatches=top_alignment_mismatches,

View File

@ -1,5 +1,6 @@
from dataclasses import dataclass from dataclasses import dataclass
from numbers import Number from numbers import Number
from typing import Sequence
@dataclass(frozen=True) @dataclass(frozen=True)
class AlignmentStats: class AlignmentStats:
@ -12,6 +13,6 @@ class AlignmentStats:
class PairwiseAlignment: class PairwiseAlignment:
reference: str reference: str
query: str query: str
reference_indices: list[Number] reference_indices: Sequence[Number]
query_indices: list[Number] query_indices: Sequence[Number]
alignment_stats: AlignmentStats alignment_stats: AlignmentStats