from typing import Sequence, Dict, List, Any, Tuple, Optional, Mapping from collections import defaultdict import numpy from numpy.typing import NDArray from masque import Pattern from masque.file import oasis, gdsii from masque.shapes import Polygon from ..types import layer_t from ..utils import connectivity2layers def read_topcell( topcell: Pattern, connectivity: Sequence[Tuple[layer_t, Optional[layer_t], layer_t]], label_mapping: Optional[Mapping[layer_t, layer_t]] = None, ) -> Tuple[ defaultdict[layer_t, List[NDArray[numpy.float64]]], defaultdict[layer_t, List[Tuple[float, float, str]]]]: metal_layers, via_layers = connectivity2layers(connectivity) poly_layers = metal_layers | via_layers if label_mapping is None: label_mapping = {layer: layer for layer in metal_layers} label_layers = {label_layer for label_layer in label_mapping.keys()} topcell = topcell.deepcopy().subset( shapes_func=lambda ss: ss.layer in poly_layers, labels_func=lambda ll: ll.layer in label_layers, subpatterns_func=lambda ss: True, ) topcell = topcell.flatten() polys = load_polys(topcell, list(poly_layers)) metal_labels = defaultdict(list) for label_layer, metal_layer in label_mapping.items(): labels = [ll for ll in topcell.labels if ll.layer == label_layer] metal_labels[metal_layer] += [(*ll.offset, ll.string) for ll in labels] return polys, metal_labels def load_polys( topcell: Pattern, layers: Sequence[layer_t], ) -> defaultdict[layer_t, List[NDArray[numpy.float64]]]: polys = defaultdict(list) for ss in topcell.shapes: if ss.layer not in layers: continue assert(isinstance(ss, Polygon)) if ss.repetition is None: displacements = [(0, 0)] else: displacements = ss.repetition.displacements for displacement in displacements: polys[ss.layer].append( ss.vertices + ss.offset + displacement ) return polys