gdsfactory.typings.CrossSection

class gdsfactory.typings.CrossSection(*, sections: tuple[Section, ...] = None, components_along_path: tuple[ComponentAlongPath, ...] = None, radius: float | None = None, radius_min: float | None = None, bbox_layers: Iterable[tuple[int, int] | str] | None = None, bbox_offsets: tuple[float, ...] | None = None)

Waveguide information to extrude a path.

Parameters:

• sections – tuple of Sections(width, offset, layer, ports).

• components_along_path – tuple of ComponentAlongPaths.

• radius – default bend radius for routing (um).

• radius_min – minimum acceptable bend radius.

• bbox_layers – layer to add as bounding box.

• bbox_offsets – offset to add to the bounding box.

   ┌────────────────────────────────────────────────────────────┐
   │                                                            │
   │                                                            │
   │                   boox_layer                               │
   │                                                            │
   │         ┌──────────────────────────────────────┐           │
   │         │                            ▲         │bbox_offset│
   │         │                            │         ├──────────►│
   │         │           cladding_offset  │         │           │
   │         │                            │         │           │
   │         ├─────────────────────────▲──┴─────────┤           │
   │         │                         │            │           │
─ ─┤         │           core   width  │            │           ├─ ─ center
   │         │                         │            │           │
   │         ├─────────────────────────▼────────────┤           │
   │         │                                      │           │
   │         │                                      │           │
   │         │                                      │           │
   │         │                                      │           │
   │         └──────────────────────────────────────┘           │
   │                                                            │
   │                                                            │
   │                                                            │
   └────────────────────────────────────────────────────────────┘

__init__(**data: Any) → None

Create a new model by parsing and validating input data from keyword arguments.

Raises [ValidationError][pydantic_core.ValidationError] if the input data cannot be validated to form a valid model.

self is explicitly positional-only to allow self as a field name.

Methods

__init__(**data)	Create a new model by parsing and validating input data from keyword arguments.
add_bbox(component[, top, bottom, right, left])	Add bounding box layers to a component.
append_sections(sections)	Append sections to the cross_section.
construct([_fields_set])
copy([width, layer, width_function, ...])	Returns copy of the cross_section with new parameters.
dict(*[, include, exclude, by_alias, ...])
from_orm(obj)
get_xmin_xmax()	Returns the min and max extent of the cross_section across all sections.
json(*[, include, exclude, by_alias, ...])
mirror()	Returns a mirrored copy of the cross_section.
model_construct([_fields_set])	Creates a new instance of the Model class with validated data.
model_copy(*[, update, deep])	Usage docs: https://docs.pydantic.dev/2.9/concepts/serialization/#model_copy
model_dump(*[, mode, include, exclude, ...])	Usage docs: https://docs.pydantic.dev/2.9/concepts/serialization/#modelmodel_dump
model_dump_json(*[, indent, include, ...])	Usage docs: https://docs.pydantic.dev/2.9/concepts/serialization/#modelmodel_dump_json
model_json_schema([by_alias, ref_template, ...])	Generates a JSON schema for a model class.
model_parametrized_name(params)	Compute the class name for parametrizations of generic classes.
model_post_init(context, /)	This function is meant to behave like a BaseModel method to initialise private attributes.
model_rebuild(*[, force, raise_errors, ...])	Try to rebuild the pydantic-core schema for the model.
model_validate(obj, *[, strict, ...])	Validate a pydantic model instance.
model_validate_json(json_data, *[, strict, ...])	Usage docs: https://docs.pydantic.dev/2.9/concepts/json/#json-parsing
model_validate_strings(obj, *[, strict, context])	Validate the given object with string data against the Pydantic model.
parse_file(path, *[, content_type, ...])
parse_obj(obj)
parse_raw(b, *[, content_type, encoding, ...])
schema([by_alias, ref_template])
schema_json(*[, by_alias, ref_template])
update_forward_refs(**localns)
validate(value)
validate_radius(radius[, error_type])

Attributes

hash	Returns a hash of the cross_section.
layer
model_computed_fields	A dictionary of computed field names and their corresponding ComputedFieldInfo objects.
model_config	Configuration for the model, should be a dictionary conforming to [ConfigDict][pydantic.config.ConfigDict].
model_extra	Get extra fields set during validation.
model_fields	Metadata about the fields defined on the model, mapping of field names to [FieldInfo][pydantic.fields.FieldInfo] objects.
model_fields_set	Returns the set of fields that have been explicitly set on this model instance.
name
width
sections
components_along_path
radius
radius_min
bbox_layers
bbox_offsets