Webfrom typing_extensions import Literal setattr(types, 'is_literal', lambda type_: types.is_generic(type_) and type_.__origin__ == Literal) Or, instead of the lambda, you can use the function you defined in #101 from dacite import types from types import is_generic def is_literal(type_: Type) -> bool: try: Webfrom typing import Literal, Protocol, TypedDict else: from typing_extensions import Literal, Protocol, TypedDict __all__ = ( "ASGIVersions", "HTTPScope", "WebSocketScope", "LifespanScope", "WWWScope", "Scope", "HTTPRequestEvent", "HTTPResponseStartEvent", "HTTPResponseBodyEvent", …
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WebOct 7, 2024 · Literal types indicate that some expression has literally a specific value. For example, the following function will accept only expressions that have literally the value “4”: from typing import Literal def accepts_only_four(x: Literal[4]) -> None: pass accepts_only_four(4) # OK accepts_only_four(19) # Rejected Motivation and Rationale WebSep 30, 2024 · Python provides four different types of literal collections: List literals Tuple literals Dict literals Set literals What is List literal The list contains items of different data types. The values stored in List are separated by a comma (,) and enclosed within square brackets ( []). We can store different types of data in a List. it\u0027s good to be back
setfit/modeling.py at main · huggingface/setfit · GitHub
Webfrom typing import Literal except ImportError: from typing_extensions import Literal import joblib import numpy as np import requests import torch import torch. nn as nn from huggingface_hub import PyTorchModelHubMixin, hf_hub_download from sentence_transformers import InputExample, SentenceTransformer, models WebJun 8, 2024 · Literal was added to typing.py in 3.8, but you can use Literal in older versions anyway. First install typing_extensions ( pip install typing_extensions) and then. from typing_extensions import Literal. This approach is supposed to work also in … WebMay 28, 2024 · from typing import Any, ClassVar, Dict from pydantic import BaseModel, Union, validator class BaseKind ( BaseModel ): required_kind: ClassVar [ Optional [ str ]] = None kind: str @validator("kind", check_fields=False) def validate_kind ( cls, v: Any, *, values: Dict [ str, Any ], **kwargs: Any) -> str : if cls. required_kind is None : return v … net assets refers to