iqm.pulla.utils.calset_from_observations

iqm.pulla.utils.calset_from_observations#

iqm.pulla.utils.calset_from_observations(calset_observations)#

Create a calibration set from the given observations.

Parameters:

calset_observations (Iterable[ObservationBase]) – observations that form a calibration set

Returns:

calibration set

Return type:

dict[str, Annotated[bool | str | int | float | complex | ndarray, PlainValidator(func=~exa.common.data.value.validate_value, json_schema_input_type=~typing.Any), PlainSerializer(func=~exa.common.data.value.serialize_value, return_type=PydanticUndefined, when_used=always), WithJsonSchema(json_schema={‘type’: ‘any’}, mode=None)]]

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