Buckets:
MisterAI/LocalAI_Demo_backends / cpu-diffusers.upgrade-tmp /venv /lib /python3.10 /site-packages /rich /protocol.py
| from typing import Any, cast, Set, TYPE_CHECKING | |
| if TYPE_CHECKING: | |
| from rich.console import RenderableType | |
| _GIBBERISH = """aihwerij235234ljsdnp34ksodfipwoe234234jlskjdf""" | |
| def is_renderable(check_object: Any) -> bool: | |
| """Check if an object may be rendered by Rich.""" | |
| return ( | |
| isinstance(check_object, str) | |
| or hasattr(check_object, "__rich__") | |
| or hasattr(check_object, "__rich_console__") | |
| ) | |
| def rich_cast(renderable: object) -> "RenderableType": | |
| """Cast an object to a renderable by calling __rich__ if present. | |
| Args: | |
| renderable (object): A potentially renderable object | |
| Returns: | |
| object: The result of recursively calling __rich__. | |
| """ | |
| from rich.console import RenderableType | |
| rich_visited_set: Set[type] = set() # Prevent potential infinite loop | |
| while hasattr(renderable, "__rich__") and not isinstance(renderable, type): | |
| # Detect object which claim to have all the attributes | |
| if hasattr(renderable, _GIBBERISH): | |
| return repr(renderable) | |
| cast_method = getattr(renderable, "__rich__") | |
| renderable = cast_method() | |
| renderable_type = type(renderable) | |
| if renderable_type in rich_visited_set: | |
| break | |
| rich_visited_set.add(renderable_type) | |
| return cast(RenderableType, renderable) | |
Xet Storage Details
- Size:
- 1.35 kB
- Xet hash:
- 4f11e835208333cb6b609627a8ce277c10be3b5ce472d94a7f34cc48aa198f97
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