DiffPairLengthMatch#
- class pyedb.workflows.drc.drc.DiffPairLengthMatch(*, name: str, tolerance: str, pairs: List[DiffPair])#
Length-matching rule for differential pairs.
Methods
DiffPairLengthMatch.construct([_fields_set])DiffPairLengthMatch.copy(*[, include, ...])Returns a copy of the model.
DiffPairLengthMatch.dict(*[, include, ...])DiffPairLengthMatch.json(*[, include, ...])Creates a new instance of the Model class with validated data.
DiffPairLengthMatch.model_copy(*[, update, deep])!!! abstract "Usage Documentation"
DiffPairLengthMatch.model_dump(*[, mode, ...])!!! abstract "Usage Documentation"
DiffPairLengthMatch.model_dump_json(*[, ...])!!! abstract "Usage Documentation"
Generates a JSON schema for a model class.
Compute the class name for parametrizations of generic classes.
DiffPairLengthMatch.model_post_init(context, /)Override this method to perform additional initialization after __init__ and model_construct.
DiffPairLengthMatch.model_rebuild(*[, ...])Try to rebuild the pydantic-core schema for the model.
DiffPairLengthMatch.model_validate(obj, *[, ...])Validate a pydantic model instance.
!!! abstract "Usage Documentation"
Validate the given object with string data against the Pydantic model.
DiffPairLengthMatch.parse_file(path, *[, ...])DiffPairLengthMatch.parse_raw(b, *[, ...])DiffPairLengthMatch.schema([by_alias, ...])DiffPairLengthMatch.schema_json(*[, ...])DiffPairLengthMatch.validate(value)Attributes
Configuration for the model, should be a dictionary conforming to [ConfigDict][pydantic.config.ConfigDict].