def get_field_deserializers(self,) -> dict[str, Callable[[ParseNode], None]]:
        """
        The deserialization information for the current model
        Returns: dict[str, Callable[[ParseNode], None]]
        """
        from .training_assigned_to import TrainingAssignedTo
        from .training_setting import TrainingSetting

        from .training_assigned_to import TrainingAssignedTo
        from .training_setting import TrainingSetting

        fields: dict[str, Callable[[Any], None]] = {
            "assignedTo": lambda n : setattr(self, 'assigned_to', n.get_collection_of_enum_values(TrainingAssignedTo)),
            "description": lambda n : setattr(self, 'description', n.get_str_value()),
            "displayName": lambda n : setattr(self, 'display_name', n.get_str_value()),
            "durationInMinutes": lambda n : setattr(self, 'duration_in_minutes', n.get_int_value()),
            "url": lambda n : setattr(self, 'url', n.get_str_value()),
        }
        super_fields = super().get_field_deserializers()
        fields.update(super_fields)
        return fields

        The deserialization information for the current model
        Returns: dict[str, Callable[[ParseNode], None]]
        
msgraph/generated/models/custom_training_setting.py