Traktor/myenv/Lib/site-packages/pandas/_libs/internals.pyi

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2024-05-26 05:12:46 +02:00
from typing import (
Iterator,
Sequence,
final,
overload,
)
import weakref
import numpy as np
from pandas._typing import (
ArrayLike,
Self,
npt,
)
from pandas import Index
from pandas.core.internals.blocks import Block as B
def slice_len(slc: slice, objlen: int = ...) -> int: ...
def get_concat_blkno_indexers(
blknos_list: list[npt.NDArray[np.intp]],
) -> list[tuple[npt.NDArray[np.intp], BlockPlacement]]: ...
def get_blkno_indexers(
blknos: np.ndarray, # int64_t[:]
group: bool = ...,
) -> list[tuple[int, slice | np.ndarray]]: ...
def get_blkno_placements(
blknos: np.ndarray,
group: bool = ...,
) -> Iterator[tuple[int, BlockPlacement]]: ...
def update_blklocs_and_blknos(
blklocs: npt.NDArray[np.intp],
blknos: npt.NDArray[np.intp],
loc: int,
nblocks: int,
) -> tuple[npt.NDArray[np.intp], npt.NDArray[np.intp]]: ...
@final
class BlockPlacement:
def __init__(self, val: int | slice | np.ndarray) -> None: ...
@property
def indexer(self) -> np.ndarray | slice: ...
@property
def as_array(self) -> np.ndarray: ...
@property
def as_slice(self) -> slice: ...
@property
def is_slice_like(self) -> bool: ...
@overload
def __getitem__(
self, loc: slice | Sequence[int] | npt.NDArray[np.intp]
) -> BlockPlacement: ...
@overload
def __getitem__(self, loc: int) -> int: ...
def __iter__(self) -> Iterator[int]: ...
def __len__(self) -> int: ...
def delete(self, loc) -> BlockPlacement: ...
def add(self, other) -> BlockPlacement: ...
def append(self, others: list[BlockPlacement]) -> BlockPlacement: ...
def tile_for_unstack(self, factor: int) -> npt.NDArray[np.intp]: ...
class Block:
_mgr_locs: BlockPlacement
ndim: int
values: ArrayLike
refs: BlockValuesRefs
def __init__(
self,
values: ArrayLike,
placement: BlockPlacement,
ndim: int,
refs: BlockValuesRefs | None = ...,
) -> None: ...
def slice_block_rows(self, slicer: slice) -> Self: ...
class BlockManager:
blocks: tuple[B, ...]
axes: list[Index]
_known_consolidated: bool
_is_consolidated: bool
_blknos: np.ndarray
_blklocs: np.ndarray
def __init__(
self, blocks: tuple[B, ...], axes: list[Index], verify_integrity=...
) -> None: ...
def get_slice(self, slobj: slice, axis: int = ...) -> Self: ...
def _rebuild_blknos_and_blklocs(self) -> None: ...
class BlockValuesRefs:
referenced_blocks: list[weakref.ref]
def __init__(self, blk: Block | None = ...) -> None: ...
def add_reference(self, blk: Block) -> None: ...
def add_index_reference(self, index: Index) -> None: ...
def has_reference(self) -> bool: ...