gdsfactory.technology.LayerLevel

gdsfactory.technology.LayerLevel#

class gdsfactory.technology.LayerLevel(*, name=None, layer, derived_layer=None, thickness, thickness_tolerance=None, width_tolerance=None, zmin, zmin_tolerance=None, sidewall_angle=0.0, sidewall_angle_tolerance=None, width_to_z=0.0, z_to_bias=None, bias=None, mesh_order=3, material=None, info=<factory>)[source]#

Level for 3D LayerStack.

Parameters:

  • name (str | None) – str

  • layer (LogicalLayer | DerivedLayer | int | str | tuple[int, int] | LayerEnum) – LogicalLayer or DerivedLayer. DerivedLayers can be composed of operations consisting of multiple other GDSLayers or other DerivedLayers.

  • derived_layer (LogicalLayer | None) – if the layer is derived, LogicalLayer to assign to the derived layer.

  • thickness (float) – layer thickness in um.

  • thickness_tolerance (float | None) – layer thickness tolerance in um.

  • width_tolerance (float | None) – layer width tolerance in um.

  • zmin (float) – height position where material starts in um.

  • zmin_tolerance (float | None) – layer height tolerance in um.

  • sidewall_angle (float) – in degrees with respect to normal.

  • sidewall_angle_tolerance (float | None) – in degrees.

  • width_to_z (float) – if sidewall_angle, reference z-position (0 –> zmin, 1 –> zmin + thickness, 0.5 in the middle).

  • bias (tuple[float, float] | float | None) – shrink/grow of the level compared to the mask

  • z_to_bias (tuple[list[float], list[float]] | None) – most generic way to specify an extrusion. Two tuples of the same length specifying the shrink/grow (float) to apply between zmin (0) and zmin + thickness (1) I.e. [[z1, z2, …, zN], [bias1, bias2, …, biasN]] Defaults no buffering [[0, 1], [0, 0]]. NOTE: A dict might be more expressive.

  • mesh_order (int) – lower mesh order (e.g. 1) will have priority over higher mesh order (e.g. 2) in the regions where materials overlap.

  • material (str | None) – used in the klayout script

  • info (dict[str, Any]) – all other rendering and simulation metadata should go here.

__init__(**data)#

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.

Parameters:

data (Any)

Return type:

None

Methods

__init__(**data)

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

check_layer(layer)

construct([_fields_set])

copy(*[, include, exclude, update, deep])

Returns a copy of the model.

dict(*[, include, exclude, by_alias, ...])

from_orm(obj)

json(*[, include, exclude, by_alias, ...])

model_construct([_fields_set])

Creates a new instance of the Model class with validated data.

model_copy(*[, update, deep])

!!! abstract "Usage Documentation"

model_dump(*[, mode, include, exclude, ...])

!!! abstract "Usage Documentation"

model_dump_json(*[, indent, ensure_ascii, ...])

!!! abstract "Usage Documentation"

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, /)

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, extra, ...])

Validate a pydantic model instance.

model_validate_json(json_data, *[, strict, ...])

!!! abstract "Usage Documentation"

model_validate_strings(obj, *[, strict, ...])

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)

Attributes

bounds

Calculates and returns the bounds of the layer level in the z-direction.

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.

name

layer

derived_layer

thickness

thickness_tolerance

width_tolerance

zmin

zmin_tolerance

sidewall_angle

sidewall_angle_tolerance

width_to_z

z_to_bias

bias

mesh_order

material

info

Contents