User Admin Update Dto

@classmethod
def from_dict(cls, obj: Optional[Dict[str, Any]]) -> Optional[Self]:
    """Create an instance of UserAdminUpdateDto from a dict"""
    if obj is None:
        return None

    if not isinstance(obj, dict):
        return cls.model_validate(obj)

    _obj = cls.model_validate(
        {
            "avatarColor": obj.get("avatarColor"),
            "email": obj.get("email"),
            "isAdmin": obj.get("isAdmin"),
            "name": obj.get("name"),
            "password": obj.get("password"),
            "pinCode": obj.get("pinCode"),
            "quotaSizeInBytes": obj.get("quotaSizeInBytes"),
            "shouldChangePassword": obj.get("shouldChangePassword"),
            "storageLabel": obj.get("storageLabel"),
        }
    )
    return _obj

@classmethod
def from_json(cls, json_str: str) -> Optional[Self]:
    """Create an instance of UserAdminUpdateDto from a JSON string"""
    return cls.from_dict(json.loads(json_str))

def to_dict(self) -> Dict[str, Any]:
    """Return the dictionary representation of the model using alias.

    This has the following differences from calling pydantic's
    `self.model_dump(by_alias=True)`:

    * `None` is only added to the output dict for nullable fields that
      were set at model initialization. Other fields with value `None`
      are ignored.
    """
    excluded_fields: Set[str] = set([])

    _dict = self.model_dump(
        by_alias=True,
        exclude=excluded_fields,
        exclude_none=True,
    )
    # set to None if avatar_color (nullable) is None
    # and model_fields_set contains the field
    if self.avatar_color is None and "avatar_color" in self.model_fields_set:
        _dict["avatarColor"] = None

    # set to None if pin_code (nullable) is None
    # and model_fields_set contains the field
    if self.pin_code is None and "pin_code" in self.model_fields_set:
        _dict["pinCode"] = None

    # set to None if quota_size_in_bytes (nullable) is None
    # and model_fields_set contains the field
    if (
        self.quota_size_in_bytes is None
        and "quota_size_in_bytes" in self.model_fields_set
    ):
        _dict["quotaSizeInBytes"] = None

    # set to None if storage_label (nullable) is None
    # and model_fields_set contains the field
    if self.storage_label is None and "storage_label" in self.model_fields_set:
        _dict["storageLabel"] = None

    return _dict

def to_json(self) -> str:
    """Returns the JSON representation of the model using alias"""
    # TODO: pydantic v2: use .model_dump_json(by_alias=True, exclude_unset=True) instead
    return json.dumps(self.to_dict())

def to_str(self) -> str:
    """Returns the string representation of the model using alias"""
    return pprint.pformat(self.model_dump(by_alias=True))