iqm.iqm_client.models.QualityMetricSet

class iqm.iqm_client.models.QualityMetricSet(*, calibration_set_id: UUID | None, calibration_set_dut_label: str, calibration_set_number_of_observations: int, calibration_set_created_timestamp: str, calibration_set_end_timestamp: str, calibration_set_is_invalid: bool, quality_metric_set_id: UUID | None, quality_metric_set_dut_label: str | None, quality_metric_set_created_timestamp: str | None, quality_metric_set_end_timestamp: str | None, quality_metric_set_is_invalid: bool, metrics: dict[str, dict[str, Any]] | None)

Bases: BaseModel

Quality metrics for a calibration set.

Attributes

model_config	Configuration for the model, should be a dictionary conforming to [ConfigDict][pydantic.config.ConfigDict].
calibration_set_id	ID of the calibration set.
calibration_set_dut_label	Chip Label of the calibration set.
calibration_set_number_of_observations	Number of observations in the calibration set.
calibration_set_created_timestamp	Timestamp when the calibration set was created.
calibration_set_end_timestamp	Timestamp when the calibration set was finalized.
calibration_set_is_invalid	Whether the calibration set is invalid.
quality_metric_set_id	ID of the quality metric set.
quality_metric_set_dut_label	Chip label of the quality metric set.
quality_metric_set_created_timestamp	Timestamp when the quality metric set was created.
quality_metric_set_end_timestamp	Timestamp when the quality metric set was finalized.
quality_metric_set_is_invalid	Whether the quality metric set is invalid.
metrics	Quality metrics.

Methods

Parameters:

• calibration_set_id (UUID | None) –

• calibration_set_dut_label (str) –

• calibration_set_number_of_observations (int) –

• calibration_set_created_timestamp (str) –

• calibration_set_end_timestamp (str) –

• calibration_set_is_invalid (bool) –

• quality_metric_set_id (UUID | None) –

• quality_metric_set_dut_label (str | None) –

• quality_metric_set_created_timestamp (str | None) –

• quality_metric_set_end_timestamp (str | None) –

• quality_metric_set_is_invalid (bool) –

• metrics (dict[str, dict[str, Any]] | None) –

calibration_set_id: UUID | None

ID of the calibration set.

calibration_set_dut_label: str

Chip Label of the calibration set.

calibration_set_number_of_observations: int

Number of observations in the calibration set.

calibration_set_created_timestamp: str

Timestamp when the calibration set was created.

calibration_set_end_timestamp: str

Timestamp when the calibration set was finalized.

calibration_set_is_invalid: bool

Whether the calibration set is invalid.

quality_metric_set_id: UUID | None

ID of the quality metric set.

quality_metric_set_dut_label: str | None

Chip label of the quality metric set.

quality_metric_set_created_timestamp: str | None

Timestamp when the quality metric set was created.

quality_metric_set_end_timestamp: str | None

Timestamp when the quality metric set was finalized.

quality_metric_set_is_invalid: bool

Whether the quality metric set is invalid.

metrics: dict[str, dict[str, Any]] | None

Quality metrics.

model_config: ClassVar[ConfigDict] = {}

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