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.from_orm(obj)

DiffPairLengthMatch.json(*[, include, ...])

DiffPairLengthMatch.model_construct([...])

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"

DiffPairLengthMatch.model_json_schema([...])

Generates a JSON schema for a model class.

DiffPairLengthMatch.model_parametrized_name(params)

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.

DiffPairLengthMatch.model_validate_json(...)

!!! abstract "Usage Documentation"

DiffPairLengthMatch.model_validate_strings(obj, *)

Validate the given object with string data against the Pydantic model.

DiffPairLengthMatch.parse_file(path, *[, ...])

DiffPairLengthMatch.parse_obj(obj)

DiffPairLengthMatch.parse_raw(b, *[, ...])

DiffPairLengthMatch.schema([by_alias, ...])

DiffPairLengthMatch.schema_json(*[, ...])

DiffPairLengthMatch.update_forward_refs(...)

DiffPairLengthMatch.validate(value)

Attributes