50 lines
1.4 KiB
Python
50 lines
1.4 KiB
Python
from typing import (
|
|
Sequence,
|
|
TypeVar,
|
|
)
|
|
|
|
import numpy as np
|
|
|
|
from pandas._typing import npt
|
|
|
|
_SparseIndexT = TypeVar("_SparseIndexT", bound=SparseIndex)
|
|
|
|
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: _SparseIndexT, y_: SparseIndex) -> _SparseIndexT: ...
|
|
def make_union(self: _SparseIndexT, y_: SparseIndex) -> _SparseIndexT: ...
|
|
|
|
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: ...
|
|
|
|
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]]: ...
|