ComfyUI/comfy/api/schemas/original_immutabledict.py
doctorpangloss 1b2ea61345 Improved API support
- Run comfyui workflows directly inside other python applications using
   EmbeddedComfyClient.
 - Optional telemetry in prompts and models using anonymity preserving
   Plausible self-hosted or hosted.
 - Better OpenAPI schema
 - Basic support for distributed ComfyUI backends. Limitations: no
   progress reporting, no easy way to start your own distributed
   backend, requires RabbitMQ as a message broker.
2024-02-07 14:20:21 -08:00

98 lines
3.3 KiB
Python

"""
MIT License
Copyright (c) 2020 Corentin Garcia
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.
"""
from __future__ import annotations
import typing
import typing_extensions
_K = typing.TypeVar("_K")
_V = typing.TypeVar("_V", covariant=True)
class immutabledict(typing.Mapping[_K, _V]):
"""
An immutable wrapper around dictionaries that implements
the complete :py:class:`collections.Mapping` interface.
It can be used as a drop-in replacement for dictionaries
where immutability is desired.
Note: custom version of this class made to remove __init__
"""
dict_cls: typing.Type[typing.Dict[typing.Any, typing.Any]] = dict
_dict: typing.Dict[_K, _V]
_hash: typing.Optional[int]
@classmethod
def fromkeys(
cls, seq: typing.Iterable[_K], value: typing.Optional[_V] = None
) -> "immutabledict[_K, _V]":
return cls(dict.fromkeys(seq, value))
def __new__(cls, *args: typing.Any) -> typing_extensions.Self:
inst = super().__new__(cls)
setattr(inst, '_dict', cls.dict_cls(*args))
setattr(inst, '_hash', None)
return inst
def __getitem__(self, key: _K) -> _V:
return self._dict[key]
def __contains__(self, key: object) -> bool:
return key in self._dict
def __iter__(self) -> typing.Iterator[_K]:
return iter(self._dict)
def __len__(self) -> int:
return len(self._dict)
def __repr__(self) -> str:
return "%s(%r)" % (self.__class__.__name__, self._dict)
def __hash__(self) -> int:
if self._hash is None:
h = 0
for key, value in self.items():
h ^= hash((key, value))
self._hash = h
return self._hash
def __or__(self, other: typing.Any) -> immutabledict[_K, _V]:
if not isinstance(other, (dict, self.__class__)):
return NotImplemented
new = dict(self)
new.update(other)
return self.__class__(new)
def __ror__(self, other: typing.Any) -> typing.Dict[typing.Any, typing.Any]:
if not isinstance(other, (dict, self.__class__)):
return NotImplemented
new = dict(other)
new.update(self)
return new
def __ior__(self, other: typing.Any) -> immutabledict[_K, _V]:
raise TypeError(f"'{self.__class__.__name__}' object is not mutable")