64 lines
1.9 KiB
Python
64 lines
1.9 KiB
Python
from __future__ import annotations
|
|
|
|
from datetime import datetime
|
|
from typing import Any, Callable, Literal
|
|
|
|
from . import DataType, MemoryPool, Scalar, _PandasConvertible
|
|
|
|
class Expression: ...
|
|
class ScalarAggregateOptions: ...
|
|
|
|
class CastOptions:
|
|
def __init__(
|
|
self,
|
|
target_type: DataType | None = None,
|
|
allow_int_overflow: bool | None = None,
|
|
allow_time_truncate: bool | None = None,
|
|
allow_time_overflow: bool | None = None,
|
|
allow_decimal_truncate: bool | None = None,
|
|
allow_float_truncate: bool | None = None,
|
|
allow_invalid_utf8: bool | None = None,
|
|
) -> None: ...
|
|
|
|
def max( # noqa: A001
|
|
array: _PandasConvertible,
|
|
/,
|
|
*,
|
|
skip_nulls: bool = True,
|
|
min_count: int = 1,
|
|
options: ScalarAggregateOptions | None = None,
|
|
memory_pool: MemoryPool | None = None,
|
|
) -> Scalar: ...
|
|
def min( # noqa: A001
|
|
array: _PandasConvertible,
|
|
/,
|
|
*,
|
|
skip_nulls: bool = True,
|
|
min_count: int = 1,
|
|
options: ScalarAggregateOptions | None = None,
|
|
memory_pool: MemoryPool | None = None,
|
|
) -> Scalar: ...
|
|
def utf8_length(
|
|
strings: _PandasConvertible, /, *, memory_pool: MemoryPool | None = None
|
|
) -> _PandasConvertible: ...
|
|
def register_scalar_function(
|
|
func: Callable,
|
|
function_name: str,
|
|
function_doc: dict[Literal["summary", "description"], str],
|
|
in_types: dict[str, DataType],
|
|
out_type: DataType,
|
|
func_registry: Any | None = None,
|
|
) -> None: ...
|
|
def call_function(
|
|
function_name: str, target: list[_PandasConvertible]
|
|
) -> _PandasConvertible: ...
|
|
def assume_timezone(
|
|
timestamps: _PandasConvertible | Scalar | datetime,
|
|
/,
|
|
timezone: str,
|
|
*,
|
|
ambiguous: Literal["raise", "earliest", "latest"] = "raise",
|
|
nonexistent: Literal["raise", "earliest", "latest"] = "raise",
|
|
options: Any | None = None,
|
|
memory_pool: MemoryPool | None = None,
|
|
) -> _PandasConvertible: ...
|