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from collections.abc import Callable, Iterable, Sequence
from typing import Any, ClassVar, Final, Literal, TypedDict, overload, type_check_only
from typing_extensions import TypeVar, Unpack
import numpy as np
import numpy.typing as npt
_T = TypeVar("_T")
@type_check_only
class _ValidationKwargs(TypedDict, total=False):
excludelist: Iterable[str] | None
deletechars: Iterable[str] | None
case_sensitive: Literal["upper", "lower"] | bool | None
replace_space: str
###
__docformat__: Final[str] = "restructuredtext en"
class ConverterError(Exception): ...
class ConverterLockError(ConverterError): ...
class ConversionWarning(UserWarning): ...
class LineSplitter:
delimiter: str | int | Iterable[int] | None
comments: str
encoding: str | None
def __init__(
self,
/,
delimiter: str | bytes | int | Iterable[int] | None = None,
comments: str | bytes = "#",
autostrip: bool = True,
encoding: str | None = None,
) -> None: ...
def __call__(self, /, line: str | bytes) -> list[str]: ...
def autostrip(self, /, method: Callable[[_T], Iterable[str]]) -> Callable[[_T], list[str]]: ...
class NameValidator:
defaultexcludelist: ClassVar[Sequence[str]]
defaultdeletechars: ClassVar[Sequence[str]]
excludelist: list[str]
deletechars: set[str]
case_converter: Callable[[str], str]
replace_space: str
def __init__(
self,
/,
excludelist: Iterable[str] | None = None,
deletechars: Iterable[str] | None = None,
case_sensitive: Literal["upper", "lower"] | bool | None = None,
replace_space: str = "_",
) -> None: ...
def __call__(self, /, names: Iterable[str], defaultfmt: str = "f%i", nbfields: int | None = None) -> tuple[str, ...]: ...
def validate(self, /, names: Iterable[str], defaultfmt: str = "f%i", nbfields: int | None = None) -> tuple[str, ...]: ...
class StringConverter:
func: Callable[[str], Any] | None
default: Any
missing_values: set[str]
type: np.dtype[np.datetime64] | np.generic
def __init__(
self,
/,
dtype_or_func: npt.DTypeLike | None = None,
default: None = None,
missing_values: Iterable[str] | None = None,
locked: bool = False,
) -> None: ...
def update(
self,
/,
func: Callable[[str], Any],
default: object | None = None,
testing_value: str | None = None,
missing_values: str = "",
locked: bool = False,
) -> None: ...
#
def __call__(self, /, value: str) -> Any: ...
def upgrade(self, /, value: str) -> Any: ...
def iterupgrade(self, /, value: Iterable[str] | str) -> None: ...
#
@classmethod
def upgrade_mapper(cls, func: Callable[[str], Any], default: object | None = None) -> None: ...
@overload
def str2bool(value: Literal["false", "False", "FALSE"]) -> Literal[False]: ...
@overload
def str2bool(value: Literal["true", "True", "TRUE"]) -> Literal[True]: ...
#
def has_nested_fields(ndtype: np.dtype[np.void]) -> bool: ...
def flatten_dtype(ndtype: np.dtype[np.void], flatten_base: bool = False) -> type[np.dtype[Any]]: ...
def easy_dtype(
ndtype: npt.DTypeLike,
names: Iterable[str] | None = None,
defaultfmt: str = "f%i",
**validationargs: Unpack[_ValidationKwargs],
) -> np.dtype[np.void]: ...
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