##// END OF EJS Templates
rev-branch-cache: properly ignores unaligned trailing data...
rev-branch-cache: properly ignores unaligned trailing data Previously, trailing data could lead to crash and would be written back to disk, disaligning all new data… This is no longer the cases. This was detected while playing with branchmap-v3 that access the rev-branch-cache much more aggressively.

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validators.pyi
80 lines | 2.3 KiB | text/x-python | PythonLexer
from typing import (
Any,
AnyStr,
Callable,
Container,
ContextManager,
Iterable,
List,
Mapping,
Match,
Optional,
Pattern,
Tuple,
Type,
TypeVar,
Union,
overload,
)
from . import _ValidatorType
from . import _ValidatorArgType
_T = TypeVar("_T")
_T1 = TypeVar("_T1")
_T2 = TypeVar("_T2")
_T3 = TypeVar("_T3")
_I = TypeVar("_I", bound=Iterable)
_K = TypeVar("_K")
_V = TypeVar("_V")
_M = TypeVar("_M", bound=Mapping)
def set_disabled(run: bool) -> None: ...
def get_disabled() -> bool: ...
def disabled() -> ContextManager[None]: ...
# To be more precise on instance_of use some overloads.
# If there are more than 3 items in the tuple then we fall back to Any
@overload
def instance_of(type: Type[_T]) -> _ValidatorType[_T]: ...
@overload
def instance_of(type: Tuple[Type[_T]]) -> _ValidatorType[_T]: ...
@overload
def instance_of(
type: Tuple[Type[_T1], Type[_T2]]
) -> _ValidatorType[Union[_T1, _T2]]: ...
@overload
def instance_of(
type: Tuple[Type[_T1], Type[_T2], Type[_T3]]
) -> _ValidatorType[Union[_T1, _T2, _T3]]: ...
@overload
def instance_of(type: Tuple[type, ...]) -> _ValidatorType[Any]: ...
def provides(interface: Any) -> _ValidatorType[Any]: ...
def optional(
validator: Union[_ValidatorType[_T], List[_ValidatorType[_T]]]
) -> _ValidatorType[Optional[_T]]: ...
def in_(options: Container[_T]) -> _ValidatorType[_T]: ...
def and_(*validators: _ValidatorType[_T]) -> _ValidatorType[_T]: ...
def matches_re(
regex: Union[Pattern[AnyStr], AnyStr],
flags: int = ...,
func: Optional[
Callable[[AnyStr, AnyStr, int], Optional[Match[AnyStr]]]
] = ...,
) -> _ValidatorType[AnyStr]: ...
def deep_iterable(
member_validator: _ValidatorArgType[_T],
iterable_validator: Optional[_ValidatorType[_I]] = ...,
) -> _ValidatorType[_I]: ...
def deep_mapping(
key_validator: _ValidatorType[_K],
value_validator: _ValidatorType[_V],
mapping_validator: Optional[_ValidatorType[_M]] = ...,
) -> _ValidatorType[_M]: ...
def is_callable() -> _ValidatorType[_T]: ...
def lt(val: _T) -> _ValidatorType[_T]: ...
def le(val: _T) -> _ValidatorType[_T]: ...
def ge(val: _T) -> _ValidatorType[_T]: ...
def gt(val: _T) -> _ValidatorType[_T]: ...
def max_len(length: int) -> _ValidatorType[_T]: ...
def min_len(length: int) -> _ValidatorType[_T]: ...