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