SerializedDimensionGraph

class lsst.daf.butler.SerializedDimensionGraph(*, names: list[str])

Bases: BaseModel

Simplified model of a DimensionGraph suitable for serialization.

Attributes Summary

model_config	Configuration for the model, should be a dictionary conforming to [ConfigDict][pydantic.config.ConfigDict].
model_fields	Metadata about the fields defined on the model, mapping of field names to [FieldInfo][pydantic.fields.FieldInfo].

Methods Summary

direct(*, names)

Construct a SerializedDimensionGraph directly without validators.

Attributes Documentation

model_config: ClassVar[ConfigDict] = {}

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

model_fields: ClassVar[dict[str, FieldInfo]] = {'names': FieldInfo(annotation=list[str], required=True)}

Metadata about the fields defined on the model, mapping of field names to [FieldInfo][pydantic.fields.FieldInfo].

This replaces Model.__fields__ from Pydantic V1.

Methods Documentation

classmethod direct(*, names: list[str]) → SerializedDimensionGraph

Construct a SerializedDimensionGraph directly without validators.

Parameters:

nameslist [str]

The names of the dimensions to include.

Returns:

graphSerializedDimensionGraph

Model representing these dimensions.

Notes

This differs from the pydantic “construct” method in that the arguments are explicitly what the model requires, and it will recurse through members, constructing them from their corresponding direct methods.

This method should only be called when the inputs are trusted.