Source code for kqcircuits.util.layout_to_code

# This code is part of KQCircuits
# Copyright (C) 2021 IQM Finland Oy
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from sys import float_info
import textwrap

from kqcircuits.defaults import default_layers
from kqcircuits.elements.chip_frame import ChipFrame
from kqcircuits.elements.element import Element, get_refpoints, insert_cell_into
from kqcircuits.elements.waveguide_coplanar import WaveguideCoplanar
from kqcircuits.elements.waveguide_composite import WaveguideComposite, Node
from kqcircuits.util.parameters import pdt
from kqcircuits.pya_resolver import pya


[docs] def convert_cells_to_code( top_cell, print_waveguides_as_composite=False, add_instance_names=True, refpoint_snap=50.0, grid_snap=1.0, output_format="chip", include_imports=True, create_code=True, ): """Prints out the Python code required to create the cells in top_cell. For each instance that is selected in GUI, prints out an `insert_cell()` command that can be copy pasted to a chip's `build()`. If no instances are selected, then it will do the same for all instances that are one level below the chip cell in the cell hierarchy. PCell parameters are taken into account. Waveguide points can automatically be snapped to closest refpoints in the generated code. Args: top_cell: cell whose child cells will be printed as code print_waveguides_as_composite: If true, then WaveguideCoplanar elements are printed as WaveguideComposite. add_instance_names: If true, then unique instance names will be added for each printed element. This is required if you want to have waveguides connect to refpoints of elements that were placed in GUI. refpoint_snap: If a waveguide point is closer than `refpoint_snap` to a refpoint, the waveguide point will be at that refpoint. grid_snap: If a waveguide point was not close enough to a refpoint, it will be snapped to a square grid with square side length equal to `grid_snap` output_format: Determines the format of the code for placing cells. Has the following options: * "build": Creates code that can be used inside the ``build`` method of a ``Chip`` or ``Element`` * "chip": Same as the above, but also outputs a full ``Chip`` class definition * "macro": Creates code that can be used in a stand-alone KLayout macro or python script include_imports: If true, then import statements for all used elements are included in the generated code create_code: if False then does not export code but snap cells to refpoints in place Returns: str: The generated Python code. This is also printed. """ if output_format in ["build", "chip"]: parent_object = "self" element_context = True elif output_format == "macro": parent_object = "view" element_context = False else: raise ValueError(f"Unknown output format: {output_format}") layout = top_cell.layout() instances = [] inst_names = [] pcell_classes = set() # If some instances are selected, then we are only going to export code for them cell_view = pya.CellView.active() if hasattr(pya, "CellView") else None if cell_view and cell_view.is_valid() and len(cell_view.view().object_selection) > 0: for obj in cell_view.view().object_selection: if obj.is_cell_inst(): _add_instance(obj.inst(), instances, inst_names, pcell_classes) # Otherwise get all instances at one level below top_cell. else: for inst in top_cell.each_inst(): _add_instance(inst, instances, inst_names, pcell_classes) def sort_order(inst): """Move waveguide instances to the end without reordering, and sort all other elements by name and position.""" if isinstance(inst.pcell_declaration(), (WaveguideComposite, WaveguideCoplanar)): return (1,) else: return 0, inst.cell.name, -inst.dtrans.disp.y, inst.dtrans.disp.x instances = sorted(instances, key=sort_order) pcell_classes = sorted(pcell_classes, key=lambda pcell_class: pcell_class.__module__) # Add names to placed instances and create chip-level refpoints with those names if add_instance_names: for inst in instances: if inst.property("id") is None: inst_name = _get_unique_inst_name(inst, inst_names) inst_names.append(inst_name) inst.set_property("id", inst_name) inst_refpoints = get_refpoints( layout.layer(default_layers["refpoints"]), inst.cell, inst.dcplx_trans, 0 ) for name, refpoint in inst_refpoints.items(): text = pya.DText(f"{inst_name}_{name}", refpoint.x, refpoint.y) top_cell.shapes(layout.layer(default_layers["refpoints"])).insert(text) # Get refpoints used for snapping waveguide points refpoints = get_refpoints(layout.layer(default_layers["refpoints"]), top_cell) # only use refpoints of named instances prefixes_to_filter = tuple(name + "_" for name in inst_names) refpoints = {name: point for name, point in refpoints.items() if name.startswith(prefixes_to_filter)} # Generate code for importing the used element. More element imports may be added later when generating code from # waveguide nodes. element_imports = "" if include_imports: for pcell_class in pcell_classes: element_imports += f"from {pcell_class.__module__} import {pcell_class.__name__}\n" if print_waveguides_as_composite or WaveguideComposite in pcell_classes: element_imports += f"from {WaveguideComposite.__module__} import {Node.__name__}\n" def format_element_code(pcell_type, inst_name, transform_string, parameter_string): var_name = inst_name.replace("-", "_") args = [pcell_type] if transform_string: args.append(transform_string) if inst_name: args.append(f'inst_name="{inst_name}"') args.append(parameter_string) arg_string = ", ".join(args) if element_context or var_name == "": return f"{parent_object}.insert_cell({arg_string})\n" else: return f"{var_name}, {var_name}_refpoints = {parent_object}.insert_cell({arg_string})\n" def get_waveguide_code(inst, pcell_type, instance_names_defined_so_far): point_prefix = "pya.DPoint" point_postfix = "" refpoint_prefix = "" refpoint_postfix = "" path_str = "path=pya.DPath([" postfix = "], 0)" if pcell_type == "WaveguideComposite": point_prefix = "Node(" point_postfix = ")" refpoint_prefix = "Node(" refpoint_postfix = ")" path_str = "nodes=[" postfix = "]" wg_points = [] nodes = None _params = inst.pcell_parameters_by_name() if type(inst.pcell_declaration()).__name__ == "WaveguideCoplanar": wg_points = _params.pop("path").each_point() else: nodes = Node.nodes_from_string(_params.pop("nodes")) for node in nodes: wg_points.append(node.position) wg_params = "" # non-default parameters of the cell for k, v in inst.pcell_declaration().get_schema().items(): if k in _params and v.data_type not in [pdt.TypeShape, pdt.TypeLayer] and _params[k] != v.default: wg_params += f", {k}={_params[k]}" for i, path_point in enumerate(wg_points): path_point += inst.dtrans.disp x_snapped = grid_snap * round(path_point.x / grid_snap) y_snapped = grid_snap * round(path_point.y / grid_snap) node_params = "" if nodes is not None: node_params, node_elem = get_node_params(nodes[i]) if node_elem is not None and include_imports: nonlocal element_imports node_elem_import = f"from {node_elem.__module__} import {node_elem.__name__}\n" if node_elem_import not in element_imports: element_imports += node_elem_import # If a refpoint is close to the path point, snap the path point to it closest_refpoint_name = _get_closest_refpoint( refpoints, path_point, refpoint_snap, instance_names_defined_so_far ) if closest_refpoint_name is not None: if element_context: path_str += ( f'{refpoint_prefix}{parent_object}.refpoints["{closest_refpoint_name}"]{node_params}' f"{refpoint_postfix}, " ) else: refp_split = closest_refpoint_name.split("_") refp_name = "_".join(refp_split[1:]) path_str += ( f"{refpoint_prefix}{refp_split[0].replace('-', '_')}_refpoints[\"{refp_name}\"]" f"{node_params}{refpoint_postfix}, " ) else: path_str += f"{point_prefix}({x_snapped}, {y_snapped}){node_params}{point_postfix}, " path_str = path_str[:-2] # Remove extra comma and space path_str += postfix + wg_params inst_name = inst.property("id") if (inst.property("id") is not None) else "" return format_element_code(pcell_type, inst_name, "", path_str) # Generate the code for creating each instance instances_code = "" instance_names_so_far = set() for inst in instances: pcell_declaration = inst.pcell_declaration() pcell_type = type(pcell_declaration).__name__ cell = _get_cell(inst) if isinstance(pcell_declaration, (WaveguideComposite, WaveguideCoplanar)): output_pcell_type = "WaveguideComposite" if print_waveguides_as_composite else pcell_type if create_code: instances_code += get_waveguide_code(inst, output_pcell_type, instance_names_so_far) else: _snap_waveguide_to_refpoints(inst, refpoints, refpoint_snap, grid_snap, instance_names_so_far) else: inst_name = inst.property("id") if (inst.property("id") is not None) else "" instances_code += format_element_code( pcell_type, inst_name, _transform_as_string(inst), _pcell_params_as_string(cell) ) if inst.property("id") is not None: instance_names_so_far.add(inst.property("id")) if not create_code: return "" # Generate code for the beginning of the chip or macro file if needed if output_format == "chip": return ( "from kqcircuits.pya_resolver import pya\n" "from kqcircuits.chips.chip import Chip\n\n" + element_imports + "\n" "class NewChip(Chip):\n\n" " def build(self):\n" + textwrap.indent(instances_code, " ") + "\n" ) elif output_format == "macro": return ( "from kqcircuits.pya_resolver import pya\n" "from kqcircuits.klayout_view import KLayoutView\n\n" + element_imports + "\n" "view = KLayoutView()\n" "layout = view.layout\n\n" + instances_code ) else: return element_imports + "\n" + instances_code
def _transform_as_string(inst): trans = inst.dcplx_trans x, y = trans.disp.x, trans.disp.y if trans.mag == 1 and trans.angle % 90 == 0: if trans.rot() == 0 and not trans.is_mirror(): if x == 0 and trans.disp.y == 0: return "" else: return f"pya.DTrans({x}, {y})" else: return f"pya.DTrans({trans.rot()}, {trans.is_mirror()}, {x}, {y})" else: return f"pya.DCplxTrans({trans.mag}, {trans.angle}, {trans.is_mirror()}, {x}, {y})" def _add_instance(inst, instances, inst_names, pcell_classes): inst_name = inst.property("id") pcell_decl = inst.pcell_declaration() # ChipFrame is always constructed by Chip, so we don't want to generate code for it if isinstance(pcell_decl, ChipFrame): return # We exclude PCells that are not KQCircuits elements if not isinstance(pcell_decl, Element): return instances.append(inst) if inst_name is not None: inst_names.append(inst_name) if pcell_decl is not None: pcell_classes.add(pcell_decl.__class__) def _get_cell(inst): # workaround for getting the cell due to KLayout bug, see # https://www.klayout.de/forum/discussion/1191/cell-shapes-cannot-call-non-const-method-on-a-const-reference # TODO: replace by `inst.cell` once KLayout bug is fixed return inst.layout().cell(inst.cell_index) def _get_unique_inst_name(inst, inst_names): idx = 1 inst_name = type(inst.pcell_declaration()).__name__ + str(idx) while inst_name in inst_names: idx += 1 inst_name = type(inst.pcell_declaration()).__name__ + str(idx) return inst_name def _pcell_params_as_string(cell): params = cell.pcell_parameters_by_name() params_schema = type(cell.pcell_declaration()).get_schema() params_list = [] for param_name, param_declaration in params_schema.items(): if ( not isinstance(params[param_name], pya.LayerInfo) and params[param_name] != param_declaration.default and param_name != "refpoints" and not param_name.startswith("_") and not param_name.endswith("_parameters") ): param_value = params[param_name] if isinstance(param_value, str): param_value = repr(param_value) if isinstance(param_value, pya.DPoint): param_value = f"pya.DPoint({param_value})" params_list.append(f"{param_name}={param_value}") return ", ".join(params_list)
[docs] def get_node_params(node: Node): """ Generate a list of parameters for Node in string form Args: node: a Node to convert Returns: a tuple (node_params, element) where node_params: string of comma-separated key-value pairs that can be passed to the initializer of Node, starting with ``", "`` element: class that implements the node's element, or None if the node has no element """ node_params = "" elem = None for k, v in vars(node).items(): if k == "element" and v is not None: node_params += f", {v.__name__}" elem = v elif ( (k == "inst_name" and v is not None) or (k == "align" and v != tuple()) or (k == "angle" and v is not None) or (k == "length_before" and v is not None) or (k == "length_increment" and v is not None) or (k == "meander_direction" and v != 1) ): node_params += f", {k}={repr(v)}" elif k == "params": # Expand keyword arguments to Node for kk, vv in v.items(): node_params += f", {kk}={repr(vv)}" return node_params, elem
[docs] def extract_pcell_data_from_views(): """Iterate over all KQCircuits PCells and return their data and instances. Returns: a tuple (views, instances) where views: a list of lists. Each element corresponds to a view in KLayout and it is a list of ``(type, location, parameters)`` tuples. These tuples completely describe the type, position and parameters of a single PCell in the "Top Cell" of this view. instances: flattened list of all instances of KQCircuits PCells found. """ views = [] instances = [] main_window = pya.Application.instance().main_window() for vid in range(main_window.views()): top_cell = main_window.view(vid).active_cellview().cell pcells = [] for inst in top_cell.each_inst(): pc = inst.pcell_declaration() if isinstance(pc, Element): instances.append(inst) params = inst.pcell_parameters_by_name() def_params = pc.__class__.get_schema() for k, v in def_params.items(): # Attempts to retain _epr_ parameter values caused crashes, so reset them for now. if k in params and (k.startswith("_epr_") or params[k] == v.default): del params[k] pcells.append((pc.__class__, inst.dtrans, params)) views.append(pcells) return views, instances
[docs] def restore_pcells_to_views(views): """Re-populate each view's Top Cell with PCells as extracted by ``extract_pcell_data_from_views``. Args: views: List of list of ``(type, location, parameters)`` tuples. """ main_window = pya.Application.instance().main_window() if main_window.views() != len(views): raise ValueError("Number of views in KLayout unexpectedly changed during reload.") for vid in range(main_window.views()): top_cell = main_window.view(vid).active_cellview().cell pcells = views[vid] for pc in pcells: def_params = {k: v.default for k, v in pc[0].get_schema().items()} params = {**def_params, **pc[2]} insert_cell_into(top_cell, pc[0], pc[1], **params) top_cell.refresh()
def _snap_waveguide_to_refpoints(inst, refpoints, refpoint_snap, grid_snap, instance_names_defined_so_far): """Helper function to do only refpoint and grid snapping.""" wg_points = [] _params = inst.pcell_parameters_by_name() if type(inst.pcell_declaration()).__name__ == "WaveguideCoplanar": for p in _params.pop("path").each_point(): wg_points.append(p) else: nodes = Node.nodes_from_string(_params.pop("nodes")) for node in nodes: wg_points.append(node.position) new_points = [] for i, path_point in enumerate(wg_points): _point = path_point + inst.dtrans.disp x_snapped = grid_snap * round(_point.x / grid_snap) y_snapped = grid_snap * round(_point.y / grid_snap) closest_refpoint_name = _get_closest_refpoint( refpoints, path_point, refpoint_snap, instance_names_defined_so_far ) if closest_refpoint_name is not None: new_points.append(refpoints[closest_refpoint_name]) else: new_points.append(pya.DPoint(x_snapped, y_snapped)) itrans = inst.dtrans.inverted() for i, point in enumerate(new_points): new_points[i] = point * itrans if type(inst.pcell_declaration()).__name__ == "WaveguideCoplanar": inst.change_pcell_parameter("path", pya.DPath(new_points, 1)) else: inst.change_pcell_parameter("gui_path", pya.DPath(new_points, 1)) def _get_closest_refpoint(refpoints, path_point, refpoint_snap, allowed_instance_names=None): closest_dist = float_info.max closest_refpoint_name = None for name, point in refpoints.items(): dist = point.distance(path_point) if dist <= closest_dist and dist < refpoint_snap: # If this refpoint is at exact same position as closest_refpoint, compare also refpoint names. # This should ensure that chip-level refpoints are chosen over lower-level refpoints. if dist < closest_dist or (len(name) > len(closest_refpoint_name)): if allowed_instance_names is None or name.split("_")[0] in allowed_instance_names: closest_dist = dist closest_refpoint_name = name return closest_refpoint_name