1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
|
import datetime
from _typeshed import Incomplete, ReadableBuffer, SupportsItems
from collections.abc import Callable, Iterable, Mapping
from types import BuiltinFunctionType, FunctionType, ModuleType
from typing import Any, ClassVar, NoReturn, TypeVar
from yaml.error import YAMLError as YAMLError
from yaml.nodes import MappingNode as MappingNode, Node as Node, ScalarNode as ScalarNode, SequenceNode as SequenceNode
_T = TypeVar("_T")
_R = TypeVar("_R", bound=BaseRepresenter)
class RepresenterError(YAMLError): ...
class BaseRepresenter:
yaml_representers: ClassVar[dict[type[Any], Callable[[BaseRepresenter, Any], Node]]]
yaml_multi_representers: ClassVar[dict[type[Any], Callable[[BaseRepresenter, Any], Node]]]
default_style: str | Incomplete
sort_keys: bool
default_flow_style: bool
represented_objects: dict[int, Node]
object_keeper: list[Any]
alias_key: int | Incomplete
def __init__(self, default_style: str | None = None, default_flow_style: bool = False, sort_keys: bool = True) -> None: ...
def represent(self, data) -> None: ...
def represent_data(self, data) -> Node: ...
@classmethod
def add_representer(cls: type[_R], data_type: type[_T], representer: Callable[[_R, _T], Node]) -> None: ...
@classmethod
def add_multi_representer(cls: type[_R], data_type: type[_T], representer: Callable[[_R, _T], Node]) -> None: ...
def represent_scalar(self, tag: str, value, style: str | None = None) -> ScalarNode: ...
def represent_sequence(self, tag: str, sequence: Iterable[Any], flow_style: bool | None = None) -> SequenceNode: ...
def represent_mapping(
self, tag: str, mapping: SupportsItems[Any, Any] | Iterable[tuple[Any, Any]], flow_style: bool | None = None
) -> MappingNode: ...
def ignore_aliases(self, data) -> bool: ...
class SafeRepresenter(BaseRepresenter):
inf_value: ClassVar[float]
def ignore_aliases(self, data) -> bool: ...
def represent_none(self, data) -> ScalarNode: ...
def represent_str(self, data: str) -> ScalarNode: ...
def represent_binary(self, data: ReadableBuffer) -> ScalarNode: ...
def represent_bool(self, data: bool) -> ScalarNode: ...
def represent_int(self, data: int) -> ScalarNode: ...
def represent_float(self, data: float) -> ScalarNode: ...
def represent_list(self, data: Iterable[Any]) -> SequenceNode: ...
def represent_dict(self, data: SupportsItems[Any, Any] | Iterable[tuple[Any, Any]]) -> MappingNode: ...
def represent_set(self, data: Iterable[Any]) -> MappingNode: ...
def represent_date(self, data: datetime.date) -> ScalarNode: ...
def represent_datetime(self, data: datetime.datetime) -> ScalarNode: ...
def represent_yaml_object(self, tag: str, data, cls, flow_style: bool | None = None) -> MappingNode: ...
def represent_undefined(self, data) -> NoReturn: ...
class Representer(SafeRepresenter):
def represent_complex(self, data: complex) -> ScalarNode: ...
def represent_tuple(self, data: Iterable[Any]) -> SequenceNode: ...
def represent_name(self, data: BuiltinFunctionType | FunctionType) -> ScalarNode: ...
def represent_module(self, data: ModuleType) -> ScalarNode: ...
def represent_object(self, data) -> SequenceNode | MappingNode: ...
def represent_ordered_dict(self, data: Mapping[Any, Any]) -> SequenceNode: ...
|