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from typing import Sequence |
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import numpy as np |
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from pandas._typing import ( |
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Self, |
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npt, |
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) |
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class SparseIndex: |
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length: int |
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npoints: int |
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def __init__(self) -> None: ... |
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@property |
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def ngaps(self) -> int: ... |
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@property |
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def nbytes(self) -> int: ... |
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@property |
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def indices(self) -> npt.NDArray[np.int32]: ... |
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def equals(self, other) -> bool: ... |
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def lookup(self, index: int) -> np.int32: ... |
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def lookup_array(self, indexer: npt.NDArray[np.int32]) -> npt.NDArray[np.int32]: ... |
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def to_int_index(self) -> IntIndex: ... |
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def to_block_index(self) -> BlockIndex: ... |
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def intersect(self, y_: SparseIndex) -> Self: ... |
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def make_union(self, y_: SparseIndex) -> Self: ... |
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class IntIndex(SparseIndex): |
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indices: npt.NDArray[np.int32] |
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def __init__( |
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self, length: int, indices: Sequence[int], check_integrity: bool = ... |
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) -> None: ... |
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class BlockIndex(SparseIndex): |
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nblocks: int |
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blocs: np.ndarray |
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blengths: np.ndarray |
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def __init__( |
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self, length: int, blocs: np.ndarray, blengths: np.ndarray |
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) -> None: ... |
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def intersect(self, other: SparseIndex) -> Self: ... |
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def make_union(self, y: SparseIndex) -> Self: ... |
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def make_mask_object_ndarray( |
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arr: npt.NDArray[np.object_], fill_value |
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) -> npt.NDArray[np.bool_]: ... |
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def get_blocks( |
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indices: npt.NDArray[np.int32], |
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) -> tuple[npt.NDArray[np.int32], npt.NDArray[np.int32]]: ... |
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