在我的示例中,visual studio代码中的.pyi文件(python扩展名)中的_csv.pyi文件提供了更多关于类型提示的详细信息,与mypy生成的.pyi文件相比
例如,在下面的代码中,您可以看到两个.pyi文件
visual代码_csv.pyi:
from typing import Any, Iterable, Iterator, Protocol, Union
from typing_extensions import Literal
__version__: str
QUOTE_ALL: Literal[1]
QUOTE_MINIMAL: Literal[0]
QUOTE_NONE: Literal[3]
QUOTE_NONNUMERIC: Literal[2]
class Error(Exception): ...
class Dialect:
delimiter: str
quotechar: str | None
escapechar: str | None
doublequote: bool
skipinitialspace: bool
lineterminator: str
quoting: int
strict: int
def __init__(self) -> None: ...
_DialectLike = Union[str, Dialect, type[Dialect]]
class _reader(Iterator[list[str]]):
dialect: Dialect
line_num: int
def __next__(self) -> list[str]: ...
class _writer:
dialect: Dialect
def writerow(self, row: Iterable[Any]) -> Any: ...
def writerows(self, rows: Iterable[Iterable[Any]]) -> None: ...
class _Writer(Protocol):
def write(self, __s: str) -> object: ...
def writer(csvfile: _Writer, dialect: _DialectLike = ..., **fmtparams: Any) -> _writer: ...
def reader(csvfile: Iterable[str], dialect: _DialectLike = ..., **fmtparams: Any) -> _reader: ...
def register_dialect(name: str, dialect: Any = ..., **fmtparams: Any) -> None: ...
def unregister_dialect(name: str) -> None: ...
def get_dialect(name: str) -> Dialect: ...
def list_dialects() -> list[str]: ...
def field_size_limit(new_limit: int = ...) -> int: ...类型顽固的_csv.pyi:
from typing import Any, ClassVar
QUOTE_ALL: int
QUOTE_MINIMAL: int
QUOTE_NONE: int
QUOTE_NONNUMERIC: int
_dialects: dict
class Dialect:
delimiter: ClassVar[getset_descriptor] = ...
doublequote: ClassVar[member_descriptor] = ...
escapechar: ClassVar[getset_descriptor] = ...
lineterminator: ClassVar[getset_descriptor] = ...
quotechar: ClassVar[getset_descriptor] = ...
quoting: ClassVar[getset_descriptor] = ...
skipinitialspace: ClassVar[member_descriptor] = ...
strict: ClassVar[member_descriptor] = ...
@classmethod
def __init__(cls, *args, **kwargs) -> None: ...
class Error(Exception): ...
def field_size_limit(*args, **kwargs) -> Any: ...
def get_dialect(name) -> Any: ...
def list_dialects() -> Any: ...
def reader(*args, **kwargs) -> Any: ...
def register_dialect(*args, **kwargs) -> Any: ...
def unregister_dialect(name) -> Any: ...
def writer(*args, **kwargs) -> Any: ...正如你所看到的,visual代码有一个比mypy强的更精确的类型提示。
,为什么是这种情况?用于生成这些.pyi文件的哪个工具visual studio代码(python扩展精确)?
发布于 2022-03-12 09:58:16
_cvs.pyi是与mypy一起安装的typeshed的一部分。你可以在这里看到它:https://github.com/python/typeshed/blob/master/stdlib/_csv.pyi
https://stackoverflow.com/questions/71435038
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