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from collections.abc import Callable, Iterable, Sequence from typing import ( Any, ClassVar, Final, Literal, TypedDict, TypeVar, Unpack, overload, type_check_only, ) import numpy as np import numpy.typing as npt from numpy._typing._dtype_like import _DTypeLikeNested _T = TypeVar("_T") @type_check_only class _NameValidatorKwargs(TypedDict, total=False): excludelist: Iterable[str] | None deletechars: Iterable[str] | None case_sensitive: Literal["upper", "lower"] | bool | None replace_space: str ### __docformat__: Final = "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[frozenset[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: ... def _decode_line(line: str | bytes, encoding: str | None = None) -> str: ... def _is_string_like(obj: object) -> bool: ... def _is_bytes_like(obj: object) -> bool: ... 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]: ... @overload def str2bool(value: Literal["false", "False", "FALSE"]) -> Literal[False]: ... @overload def str2bool(value: Literal["true", "True", "TRUE"]) -> Literal[True]: ... def easy_dtype( ndtype: str | Sequence[_DTypeLikeNested], names: str | Sequence[str] | None = None, defaultfmt: str = "f%i", **validationargs: Unpack[_NameValidatorKwargs], ) -> np.dtype[np.void]: ...