MinLineWidth#
- class pyedb.workflows.drc.drc.MinLineWidth(*, name: str, value: str)#
Minimum-line-width rule.
Methods
MinLineWidth.construct([_fields_set])MinLineWidth.copy(*[, include, exclude, ...])Returns a copy of the model.
MinLineWidth.dict(*[, include, exclude, ...])MinLineWidth.json(*[, include, exclude, ...])MinLineWidth.model_construct([_fields_set])Creates a new instance of the Model class with validated data.
MinLineWidth.model_copy(*[, update, deep])!!! abstract "Usage Documentation"
MinLineWidth.model_dump(*[, mode, include, ...])!!! abstract "Usage Documentation"
MinLineWidth.model_dump_json(*[, indent, ...])!!! abstract "Usage Documentation"
MinLineWidth.model_json_schema([by_alias, ...])Generates a JSON schema for a model class.
Compute the class name for parametrizations of generic classes.
MinLineWidth.model_post_init(context, /)Override this method to perform additional initialization after __init__ and model_construct.
MinLineWidth.model_rebuild(*[, force, ...])Try to rebuild the pydantic-core schema for the model.
MinLineWidth.model_validate(obj, *[, ...])Validate a pydantic model instance.
MinLineWidth.model_validate_json(json_data, *)!!! abstract "Usage Documentation"
Validate the given object with string data against the Pydantic model.
MinLineWidth.parse_file(path, *[, ...])MinLineWidth.parse_raw(b, *[, content_type, ...])MinLineWidth.schema([by_alias, ref_template])MinLineWidth.schema_json(*[, by_alias, ...])MinLineWidth.update_forward_refs(**localns)MinLineWidth.validate(value)Attributes
Configuration for the model, should be a dictionary conforming to [ConfigDict][pydantic.config.ConfigDict].
Rule identifier (human readable).
Minimum width with unit, e.g.
"3.5mil".