Source code for kqcircuits.util.area

# This code is part of KQCircuits
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import logging
from os import cpu_count
from time import perf_counter

from kqcircuits.pya_resolver import pya
from kqcircuits.defaults import default_faces


[docs] class AreaReceiver(pya.TileOutputReceiver): """Class for handling and storing output from :class:`TilingProcessor`""" def __init__(self, *args, **kwargs): super().__init__(*args, **kwargs) self.area = 0.0
[docs] def put(self, ix, iy, tile, obj, dbu, clip): """Function called by :class:`TilingProcessor` on output""" # pylint: disable=unused-argument logging.debug(f"Area for tile {ix},{iy}: {obj} ({dbu})") self.area = obj * (dbu * dbu) # report as um^2
[docs] def get_area_and_density(cell: pya.Cell, layer_infos=None, optimize_ground_grid_calculations=True): """Get total area and density :math:`\\rho=\\frac{area}{bbox.area}` of all layers. This calculation is slow for geometries with many polygons, and in practice the layers containing ground grid take the majority of time. When ``optimize_ground_grid_calculations`` is set to ``True``, the ``ground_grid`` layer area is calculated by assuming all polygons in this layer are identical and don't overlap each other (which they should be by definition). Further, the area of ``base_metal_gap`` is calculated by combining the areas of ``base_metal_gap_wo_grid`` and ``ground_grid`` areas. Args: cell: target cell to get area from layer_infos: list of ``LayerInfo`` to get area for, or None to get area for all layers. optimize_ground_grid_calculations: ``True`` (default) to optimize ground grid area calculations. Returns: dictionary ``{layer_name: {'area': area, 'density': density}}``, where ``area`` is in um^2 and ``density`` is a fraction < 1. """ start_time = perf_counter() layout = cell.layout() all_layer_infos = {layer_info.name: layer_info for layer_info in layout.layer_infos()} if layer_infos is None: layer_infos = all_layer_infos.values() layer_infos = set(layer_infos) def _grid_area_and_density(layer_info): """Calculate the area and density for a layer where all shapes are known to be identical""" shapes = list(cell.begin_shapes_rec(layout.layer(layer_info)).each()) shape_count = len(shapes) shape_area = shapes[0].shape().area() if shape_count > 0 else 0 area = shape_count * float(shape_area) bbox_area = cell.bbox_per_layer(layout.layer(layer_info)).area() density = area / bbox_area if bbox_area != 0.0 else 0.0 return area * layout.dbu**2, density # Separate out `ground_grid` and `base_metal_gap` layers in `layer_infos` for optimization ground_grid_faces = set() if optimize_ground_grid_calculations: for face, layers in default_faces.items(): if ( "ground_grid" in layers and "base_metal_gap" in layers and "base_metal_gap_wo_grid" in layers and (layers["ground_grid"] in layer_infos or layers["base_metal_gap"] in layer_infos) ): ground_grid_faces.add(face) for face in ground_grid_faces: ground_grid_layer = default_faces[face]["ground_grid"] base_metal_gap_wo_grid_layer = default_faces[face]["base_metal_gap_wo_grid"] base_metal_gap_layer = default_faces[face]["base_metal_gap"] layer_infos -= {ground_grid_layer, base_metal_gap_layer} # Skip brute force calculation for these layers layer_infos.add( base_metal_gap_wo_grid_layer ) # Ensure base_metal_gap_wo_grid is included in the calculation # Perform tiled area calculation for all other layers tp = pya.TilingProcessor() tp.threads = cpu_count() tp.tile_size = (2000, 2000) # microns layer_areas = [AreaReceiver() for _ in layer_infos] layer_bboxes = [AreaReceiver() for _ in layer_infos] for layer_info, area_receiver, bbox_receiver in zip(layer_infos, layer_areas, layer_bboxes): name = f"_{layer_info.name}" # if `name` starts with a number, tp.execute() fails, so we add an underscore area, bbox = name + "_area", name + "_bbox" tp.input(name, cell.begin_shapes_rec(layout.layer(layer_info))) tp.output(area, area_receiver) tp.output(bbox, bbox_receiver) tp.queue(f"_output({area}, {name}.area)") tp.queue(f"_output({bbox}, {name}.bbox.area)") tp.execute("Calculate polygon and bounding box area") areas = [area.area for area in layer_areas] bboxes = [bbox.area for bbox in layer_bboxes] results = { layer_info.name: {"area": area, "density": area / bbox if bbox != 0.0 else 0.0} for layer_info, area, bbox in zip(layer_infos, areas, bboxes) } # Add optimized ground grid calculation results for face in ground_grid_faces: ground_grid_layer = default_faces[face]["ground_grid"] base_metal_gap_wo_grid_layer = default_faces[face]["base_metal_gap_wo_grid"] base_metal_gap_layer = default_faces[face]["base_metal_gap"] # Calculate ground grid area assuming all shapes in ``ground_grid`` are identical ground_grid_area, ground_grid_density = _grid_area_and_density(ground_grid_layer) results[ground_grid_layer.name] = {"area": ground_grid_area, "density": ground_grid_density} # Calcualte base_metal_gap area assuming the ground grid does not overlap with base_metal_gap_wo_grid gap_area = results[base_metal_gap_wo_grid_layer.name]["area"] + ground_grid_area gap_bbox = cell.bbox_per_layer(layout.layer(base_metal_gap_layer)).area() * layout.dbu**2 gap_density = gap_area / gap_bbox if gap_bbox != 0.0 else 0.0 results[base_metal_gap_layer.name] = {"area": gap_area, "density": gap_density} if len(results) > 0: logging.info(f"Area calculation took {perf_counter() - start_time:.1f} seconds") return results