File size: 1,681 Bytes
9c6594c |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 |
import sys
from typing import (
Any,
Callable,
Iterator,
List,
Optional,
Tuple,
TypeVar,
Union,
overload,
)
import numpy as np
T = TypeVar('T')
def glob_with_braces(pattern: str) -> List[str]: ...
def fnmatch_with_braces(filename: str, pattern: str) -> bool: ...
def make_seed(*args: Any) -> int: ...
def is_iterable(obj: Any) -> bool: ...
class PipelineStage:
def invoke(self, *args: Any, **kw: Any) -> Any: ...
def run(self, *args: Any, **kw: Any) -> Any: ...
def identity(x: T) -> T: ...
def safe_eval(s: str, expr: str = "{}") -> Any: ...
def lookup_sym(sym: str, modules: List[str]) -> Optional[Any]: ...
def repeatedly0(loader: Iterator[T], nepochs: int = sys.maxsize, nbatches: int = sys.maxsize) -> Iterator[T]: ...
def guess_batchsize(batch: Union[Tuple, List]) -> int: ...
def repeatedly(
source: Iterator[T],
nepochs: Optional[int] = None,
nbatches: Optional[int] = None,
nsamples: Optional[int] = None,
batchsize: Callable[..., int] = guess_batchsize,
) -> Iterator[T]: ...
def pytorch_worker_info(group: Any = None) -> Tuple[int, int, int, int]: ...
def pytorch_worker_seed(group: Any = None) -> int: ...
@overload
def deprecated(func: Callable[..., Any]) -> Callable[..., Any]: ...
@overload
def deprecated(arg: Optional[str] = None) -> Callable[[Callable[..., Any]], Callable[..., Any]]: ...
class ObsoleteException(Exception): ...
def obsolete(func: Optional[Callable[..., Any]] = None, *, reason: Optional[str] = None) -> Union[Callable[..., Any], Callable[[Callable[..., Any]], Callable[..., Any]]]: ...
def compute_sample_weights(n_w_pairs: List[Tuple[float, float]]) -> np.ndarray: ...
|