neuron_explainer/pydantic/camel_case_base_model.py (7 lines of code) (raw):

from pydantic import BaseModel def to_camel(string: str) -> str: return "".join(word.capitalize() if i > 0 else word for i, word in enumerate(string.split("_"))) class CamelCaseBaseModel(BaseModel): """ Base model that will automatically generate camelCase aliases for fields. Python code can use either snake_case or camelCase names. When Typescript code is generated, it will only use the camelCase names. """ class Config: alias_generator = to_camel allow_population_by_field_name = True