gdsfactory.cross_section.Section

class gdsfactory.cross_section.Section(*, width: float, offset: float = 0, insets: tuple[float, float] | None = None, layer: tuple[int, int] | str | int | LayerEnum, port_names: tuple[str | None, str | None] = (None, None), port_types: tuple[str, str] = ('optical', 'optical'), name: str | None = None, hidden: bool = False, simplify: float | None = None, width_function: Callable[[...], ndarray[tuple[int, ...], dtype[floating[Any]]]] | None = None, offset_function: Callable[[float], float] | None = None)

CrossSection to extrude a path with a waveguide.

Parameters:

• width – of the section (um) or parameterized function from 0 to 1. the width at t==0 is the width at the beginning of the Path. the width at t==1 is the width at the end.

• offset – center offset (um) or function parameterized function from 0 to 1. the offset at t==0 is the offset at the beginning of the Path. the offset at t==1 is the offset at the end.

• insets – distance (um) in x to inset section relative to end of the Path (i.e. (start inset, stop_inset)).

• layer – layer spec. If None does not draw the main section.

• port_names – Optional port names.

• port_types – optical, electrical, …

• name – Optional Section name.

• hidden – hide layer.

• simplify – Optional Tolerance value for the simplification algorithm. All points that can be removed without changing the resulting. polygon by more than the value listed here will be removed.

• width_function – parameterized function from 0 to 1.

• offset_function – parameterized function from 0 to 1.

0

│        ┌───────┐
         │       │
│        │ layer │
         │◄─────►│
│        │       │
         │ width │
│        └───────┘
             |
│
             |
◄────────────►
   +offset

__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.
construct([_fields_set])
copy(*[, include, exclude, update, deep])	Returns a copy of the model.
dict(*[, include, exclude, by_alias, ...])
from_orm(obj)
generate_default_name(data)
json(*[, include, exclude, by_alias, ...])
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/2.10/concepts/serialization/#model_copy
model_dump(*[, mode, include, exclude, ...])	Usage docs: https://docs.pydantic.dev/2.10/concepts/serialization/#modelmodel_dump
model_dump_json(*[, indent, include, ...])	Usage docs: https://docs.pydantic.dev/2.10/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(_BaseModel__context)	Override this method to perform additional initialization after __init__ and model_construct.
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/2.10/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])
serialize_functions(func)
update_forward_refs(**localns)
validate(value)

Attributes

model_computed_fields
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
model_fields_set	Returns the set of fields that have been explicitly set on this model instance.
width
offset
insets
layer
port_names
port_types
name
hidden
simplify
width_function
offset_function