gdsfactory.technology.DerivedLayer

gdsfactory.technology.DerivedLayer#

class gdsfactory.technology.DerivedLayer(*, sizings_xoffsets=(0,), sizings_yoffsets=(0,), sizings_modes=(2,), layer1, layer2, operation)[source]#

Physical “derived layer”, resulting from a combination of GDS design layers. Can be used by renderers and simulators.

Overloads operators for simpler expressions.

Parameters:
input_layer1#

primary layer comprising the derived layer. Can be a GDS design layer (kf.kcell.LayerEnum , tuple[int, int]), or another derived layer.

input_layer2#

secondary layer comprising the derived layer. Can be a GDS design layer (kf.kcell.LayerEnum , tuple[int, int]), or another derived layer.

operation#

operation to perform between layer1 and layer2. One of “and”, “or”, “xor”, or “not” or associated symbols.

Type:

Literal[‘and’, ‘&’, ‘or’, ‘|’, ‘xor’, ‘^’, ‘not’, ‘-’]

__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.

construct([_fields_set])

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

Returns a copy of the model.

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

from_orm(obj)

get_shapes(component)

Return the shapes of the component argument corresponding to this layer.

get_symbol()

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])

sized(xoffset[, yoffset, mode])

Accumulates a list of sizing operations for the layer by the provided offset (in dbu).

update_forward_refs(**localns)

validate(value)

Attributes

keyword_to_symbol

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.

symbol_to_keyword

layer1

layer2

operation

sizings_xoffsets

sizings_yoffsets

sizings_modes

Contents