MinClearance

class pyedb.workflows.drc.drc.MinClearance(*, name: str, value: str, net1: str, net2: str)

Minimum clearance between two nets.

Methods

MinClearance.construct([_fields_set])
MinClearance.copy(*[, include, exclude, ...])	Returns a copy of the model.
MinClearance.dict(*[, include, exclude, ...])
MinClearance.from_orm(obj)
MinClearance.json(*[, include, exclude, ...])
MinClearance.model_construct([_fields_set])	Creates a new instance of the Model class with validated data.
MinClearance.model_copy(*[, update, deep])	!!! abstract "Usage Documentation"
MinClearance.model_dump(*[, mode, include, ...])	!!! abstract "Usage Documentation"
MinClearance.model_dump_json(*[, indent, ...])	!!! abstract "Usage Documentation"
MinClearance.model_json_schema([by_alias, ...])	Generates a JSON schema for a model class.
MinClearance.model_parametrized_name(params)	Compute the class name for parametrizations of generic classes.
MinClearance.model_post_init(context, /)	Override this method to perform additional initialization after __init__ and model_construct.
MinClearance.model_rebuild(*[, force, ...])	Try to rebuild the pydantic-core schema for the model.
MinClearance.model_validate(obj, *[, ...])	Validate a pydantic model instance.
MinClearance.model_validate_json(json_data, *)	!!! abstract "Usage Documentation"
MinClearance.model_validate_strings(obj, *)	Validate the given object with string data against the Pydantic model.
MinClearance.parse_file(path, *[, ...])
MinClearance.parse_obj(obj)
MinClearance.parse_raw(b, *[, content_type, ...])
MinClearance.schema([by_alias, ref_template])
MinClearance.schema_json(*[, by_alias, ...])
MinClearance.update_forward_refs(**localns)
MinClearance.validate(value)

Attributes

MinClearance.model_computed_fields
MinClearance.model_config	Configuration for the model, should be a dictionary conforming to [ConfigDict][pydantic.config.ConfigDict].
MinClearance.model_fields
MinClearance.name
MinClearance.value
MinClearance.net1
MinClearance.net2