gigl.src.inference.v1.lib.InferenceOutputBigqueryTableSchema#
- class gigl.src.inference.v1.lib.inference_output_schema.InferenceOutputBigqueryTableSchema(schema: Dict[str, List[Dict[str, str]]] | None = None, node_field: str | None = None)#
Bases:
NamedTupleThin container for inference output asset metadata which enables us to build and produce schemas to be fed into beam.io.WriteToBigQuery. Enables us to track the node identifier, which assists during de-enumeration.
- __add__(value, /)#
Return self+value.
- __class_getitem__()#
See PEP 585
- __contains__(key, /)#
Return key in self.
- __eq__(value, /)#
Return self==value.
- __ge__(value, /)#
Return self>=value.
- __getattribute__(name, /)#
Return getattr(self, name).
- __getitem__(key, /)#
Return self[key].
- __getnewargs__()#
Return self as a plain tuple. Used by copy and pickle.
- __gt__(value, /)#
Return self>value.
- __hash__()#
Return hash(self).
- __iter__()#
Implement iter(self).
- __le__(value, /)#
Return self<=value.
- __len__()#
Return len(self).
- __lt__(value, /)#
Return self<value.
- __mul__(value, /)#
Return self*value.
- __ne__(value, /)#
Return self!=value.
- static __new__(_cls, schema: Dict[str, List[Dict[str, str]]] | None = None, node_field: str | None = None)#
Create new instance of InferenceOutputBigqueryTableSchema(schema, node_field)
- __repr__()#
Return a nicely formatted representation string
- __rmul__(value, /)#
Return value*self.
- count(value, /)#
Return number of occurrences of value.
- index(value, start=0, stop=9223372036854775807, /)#
Return first index of value.
Raises ValueError if the value is not present.
- node_field: str | None#
Alias for field number 1
- schema: Dict[str, List[Dict[str, str]]] | None#
Alias for field number 0