ObservationBase

class ObservationBase(*, dut_field, value, unit, uncertainty=None, invalid=False)

Bases: PydanticBase

Abstract base class of the observation models.

Create a new model by parsing and validating input data from keyword arguments.

Raises [ValidationError][pydantic_core.ValidationError] if the input data cannot be validated to form a valid model.

self is explicitly positional-only to allow self as a field name.

Module: iqm.station_control.interface.models.observation

Attributes

model_config	Configuration for the model, should be a dictionary conforming to [ConfigDict][pydantic.config.ConfigDict].
dut_field	Name of the property the observation is about.
value	Value of the observation.
unit	SI unit of the value.
uncertainty	Uncertainty of the observation value.
invalid	Flag indicating if the object is invalid.

Methods

Parameters:

• dut_field (str) –

• value (bool | str | int | float | complex | ndarray) –

• unit (str) –

• uncertainty (int | float | complex | ndarray | None) –

• invalid (bool) –

dut_field: str

Name of the property the observation is about.

value: bool | str | int | float | complex | ndarray

Value of the observation.

unit: str

SI unit of the value. Empty string means the value is dimensionless.

uncertainty: int | float | complex | ndarray | None

Uncertainty of the observation value. None means unknown.

invalid: bool

Flag indicating if the object is invalid. Automated systems must not use invalid objects.

model_config: ClassVar[ConfigDict] = {'extra': 'ignore', 'ser_json_inf_nan': 'constants', 'validate_assignment': True, 'validate_default': True}

Configuration for the model, should be a dictionary conforming to [ConfigDict][pydantic.config.ConfigDict].