##// END OF EJS Templates
branchcache: add a "pure topological head" fast path...
branchcache: add a "pure topological head" fast path In a narrow but actually quick common case, all topological heads are all on the same branch and all open. In this case, computing the branch map is very simple. We can quickly detect situation where this situation will not change. So we update the V3 format to be able to express this situation and upgrade the update code to detect we remains in that mode. The branch cache is populated with the actual value when the branch map is accessed, but the update_disk method can do the update without needing to populate it.

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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]: ...