gdsfactory.technology.LayerStack

gdsfactory.technology.LayerStack#

class gdsfactory.technology.LayerStack(*, layers: dict[str, ~gdsfactory.technology.layer_stack.LayerLevel] = <factory>)[source]#

For simulation and 3D rendering. Captures design intent of the chip layers after fabrication.

Parameters:

layers – dict of layer_levels.

__init__(**data: Any) None[source]#

Add LayerLevels automatically for subclassed LayerStacks.

Methods

__init__(**data)

Add LayerLevels automatically for subclassed LayerStacks.

construct([_fields_set])

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

Returns a copy of the model.

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

filtered(layers)

Returns filtered layerstack, given layer specs.

from_orm(obj)

get_component_with_derived_layers(component, ...)

Returns component with derived layers.

get_klayout_3d_script([layer_views, dbu])

Returns script for 2.5D view in KLayout.

get_layer_to_info()

Returns layer tuple to info dict.

get_layer_to_layername()

Returns layer tuple to layername.

get_layer_to_material()

Returns layer tuple to material name.

get_layer_to_sidewall_angle()

Returns layer tuple to material name.

get_layer_to_thickness()

Returns layer tuple to thickness (um).

get_layer_to_zmin()

Returns layer tuple to z min position (um).

invert_zaxis()

Flips the zmin values about the origin.

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

model_construct([_fields_set])

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

model_copy(*[, update, deep])

Returns a copy of the LayerStack.

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, ...])

pprint()

schema([by_alias, ref_template])

schema_json(*[, by_alias, ref_template])

to_dict()

update_forward_refs(**localns)

validate(value)

z_offset(dz)

Translates the z-coordinates of the layerstack.

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.

layers