959446978c
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- THT pad copper is now part of the conductor: the exact pad outline (incl. oblong/custom shapes) is fetched from KiCad once per pad and stamped onto every included layer (the outer shape stands in for inner rings). Annular rings bridge antipads, and joints land on real copper instead of only pour coverage. - The internal lead conductor is modeled in every solder-filled hole: a cylinder of drill - THT_LEAD_CLEARANCE_MM (0.25 fab rule) with THT_LEAD_RHO_OHM_M (copper default; config for brass/steel leads), in parallel with the solder annulus and the plating. - Drill mouths of THT pads: populated pads keep conducting mouth copper (stands in for the solder plug - conservative, the plug is worth ~200 um of copper equivalent); DNP pad holes are cut open on every layer like uncapped via mouths. - Oblong pads: the coat uses the exact pad shape; the lead cone tapers within the inscribed circle (new pad_min_nm on ViaLink/Electrode) so the long axis is not overstated sideways. Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
602 lines
25 KiB
Python
602 lines
25 KiB
Python
"""Rasterization of the fill polygons onto a shared multi-layer grid, and
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electrode mask construction.
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Grid convention: layer l, row i, col j maps to the cell center
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x = x0_nm + (j + 0.5) * h_nm
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y = y0_nm + (i + 0.5) * h_nm
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in KiCad board coordinates (y grows down). Row 0 is the minimum-y row,
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the TOP of the board as drawn in the editor; plots use origin='upper'.
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All layers share the same frame, so cell (i, j) is vertically aligned
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across layers (via links connect equal (i, j) on different layers).
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Connectivity restriction lives in solver.py: it needs the via edges.
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"""
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from __future__ import annotations
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import math
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from dataclasses import dataclass
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import numpy as np
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from matplotlib.path import Path as MplPath
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from PIL import Image, ImageDraw
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from scipy import ndimage
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from . import config
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from .errors import ElectrodeError, GridSizeError
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from .geometry import Electrode, Problem, Rect
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# 4-connectivity: matches the in-plane 5-point stencil of the solver
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_STRUCT4 = ndimage.generate_binary_structure(2, 1)
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@dataclass
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class RasterStack:
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masks: np.ndarray # bool (L, ny, nx), True = copper
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x0_nm: float # grid origin (outer corner of cell [., 0, 0])
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y0_nm: float
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h_nm: float
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layer_names: list[str]
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buildup: np.ndarray | None = None # bool (L, ny, nx): solder buildup
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# (mask opening ∩ copper)
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chain: np.ndarray | None = None # bool (L, ny, nx): cells that are
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# copper only through a 1D trace chain
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chain_edges: tuple | None = None # (a, b, g_dc, layer, dl_m) arrays:
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# explicit DC conductances and link
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# lengths of the chain links
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thick_scale: np.ndarray | None = None # float (L, ny, nx): per-cell
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# copper-thickness factor (via
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# mouths: cap-thin or partially
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# drilled cells); None = all 1
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mesh: np.ndarray | None = None # bool (L, ny, nx): adaptive leaf
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# boundaries (drawn on the raster map)
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@property
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def nlayers(self) -> int:
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return self.masks.shape[0]
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@property
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def shape2d(self) -> tuple[int, int]:
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return self.masks.shape[1:]
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def cell_centers(self, i0: int, i1: int, j0: int, j1: int):
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xs = self.x0_nm + (np.arange(j0, j1) + 0.5) * self.h_nm
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ys = self.y0_nm + (np.arange(i0, i1) + 0.5) * self.h_nm
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return np.meshgrid(xs, ys)
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def cell_of(self, x_nm: float, y_nm: float) -> tuple[int, int] | None:
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"""(i, j) of the cell containing the point, or None if outside."""
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ny, nx = self.shape2d
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j = math.floor((x_nm - self.x0_nm) / self.h_nm)
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i = math.floor((y_nm - self.y0_nm) / self.h_nm)
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if 0 <= i < ny and 0 <= j < nx:
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return i, j
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return None
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def extent_mm(self) -> tuple[float, float, float, float]:
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"""imshow extent (left, right, bottom, top) for origin='upper',
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y axis in board orientation (increasing downward)."""
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ny, nx = self.shape2d
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return (
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self.x0_nm * 1e-6,
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(self.x0_nm + nx * self.h_nm) * 1e-6,
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(self.y0_nm + ny * self.h_nm) * 1e-6,
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self.y0_nm * 1e-6,
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)
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def choose_cell_size(bbox_nm: tuple[int, int, int, int], nlayers: int) -> float:
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"""Pick the cell size h [nm]; TARGET_CELLS counts TOTAL cells across
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all layers. Raise if the grid would exceed HARD_MAX_CELLS."""
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x0, y0, x1, y1 = bbox_nm
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w, ht = float(x1 - x0), float(y1 - y0)
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if w <= 0 or ht <= 0:
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raise GridSizeError("Copper geometry has a degenerate bounding box.")
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if config.CELL_UM_OVERRIDE is not None:
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if config.CELL_UM_OVERRIDE <= 0:
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raise GridSizeError(
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f"Cell size must be positive "
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f"(got {config.CELL_UM_OVERRIDE:g} um)."
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)
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h = config.CELL_UM_OVERRIDE * 1000.0
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else:
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# the adaptive grid decouples unknowns from the fine cell count,
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# so its auto sizing affords a larger fine-cell budget (finer h)
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target = (config.TARGET_CELLS_ADAPTIVE if config.ADAPTIVE_CELLS
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else config.TARGET_CELLS)
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h = math.sqrt(w * ht * nlayers / target)
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h = min(max(h, config.MIN_CELL_UM * 1000.0), config.MAX_CELL_UM * 1000.0)
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ncells = math.ceil(w / h) * math.ceil(ht / h) * nlayers
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if ncells > config.HARD_MAX_CELLS:
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raise GridSizeError(
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f"Grid would need ~{ncells / 1e6:.1f} M cells over {nlayers} "
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f"layer(s) at cell size {h / 1000:.0f} um (limit "
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f"{config.HARD_MAX_CELLS / 1e6:.0f} M). Raise MAX_CELL_UM / "
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f"CELL_UM_OVERRIDE in config.py, deselect layers, or measure a "
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f"smaller region."
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)
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return h
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def _paint_ring(stack: RasterStack, ring: np.ndarray, value: bool,
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target: np.ndarray) -> None:
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"""Set target (2D) cells whose center lies inside ring to `value`,
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working only within the ring's bbox. Hybrid rasterizer: PIL scanline
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fill for the bulk (fast, O(vertices + cells)), then the cells within
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a ~2 px band around the ring edge are re-tested exactly against the
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polygon, so the result is identical to a pure center-in-polygon pass."""
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ny, nx = stack.shape2d
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h = stack.h_nm
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j0 = max(0, int((ring[:, 0].min() - stack.x0_nm) / h) - 1)
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j1 = min(nx, int((ring[:, 0].max() - stack.x0_nm) / h) + 2)
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i0 = max(0, int((ring[:, 1].min() - stack.y0_nm) / h) - 1)
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i1 = min(ny, int((ring[:, 1].max() - stack.y0_nm) / h) + 2)
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if i0 >= i1 or j0 >= j1:
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return
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w, ht = j1 - j0, i1 - i0
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# cell (i, j) center <-> pixel (j - j0, i - i0)
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px = (ring[:, 0] - stack.x0_nm) / h - 0.5 - j0
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py = (ring[:, 1] - stack.y0_nm) / h - 0.5 - i0
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pts = list(zip(px.tolist(), py.tolist()))
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inside = np.zeros((ht, w), dtype=bool)
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band = np.ones((ht, w), dtype=bool)
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if len(pts) >= 3:
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fill_img = Image.new("1", (w, ht), 0)
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ImageDraw.Draw(fill_img).polygon(pts, fill=1)
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inside = np.array(fill_img, dtype=bool)
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band_img = Image.new("1", (w, ht), 0)
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ImageDraw.Draw(band_img).line(pts + pts[:1], fill=1, width=5,
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joint="curve")
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band = np.array(band_img, dtype=bool)
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bi, bj = np.nonzero(band)
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if len(bi):
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xs = stack.x0_nm + (bj + j0 + 0.5) * h
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ys = stack.y0_nm + (bi + i0 + 0.5) * h
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# Path(closed=True) treats the LAST vertex as the CLOSEPOLY dummy,
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# so the first vertex must be appended or the ring loses its last
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# corner
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verts = np.vstack([ring, ring[:1]])
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inside[bi, bj] = MplPath(verts, closed=True).contains_points(
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np.column_stack([xs, ys]))
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sub = target[i0:i1, j0:j1]
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sub[inside] = value
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def rasterize_stack(problem: Problem, h_nm: float) -> RasterStack:
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"""Rasterize every included layer onto one shared frame."""
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x0, y0, x1, y1 = problem.copper_bbox()
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m = config.MARGIN_CELLS
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nx = math.ceil((x1 - x0) / h_nm) + 2 * m
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ny = math.ceil((y1 - y0) / h_nm) + 2 * m
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stack = RasterStack(
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masks=np.zeros((len(problem.layers), ny, nx), dtype=bool),
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x0_nm=x0 - m * h_nm,
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y0_nm=y0 - m * h_nm,
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h_nm=h_nm,
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layer_names=problem.layer_names,
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)
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for li, layer in enumerate(problem.layers):
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for poly in layer.polygons:
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if poly.holes:
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pmask = np.zeros((ny, nx), dtype=bool)
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_paint_ring(stack, poly.outline, True, pmask)
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for hole in poly.holes:
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_paint_ring(stack, hole, False, pmask)
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stack.masks[li] |= pmask
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else:
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# hole-less (e.g. a track outline): paint the layer mask
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# directly, skipping the full-frame temp
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_paint_ring(stack, poly.outline, True, stack.masks[li])
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# via ring/pad copper BEFORE tracks, so 1D chains see it as regular
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# copper; drill mouths AFTER tracks, so drills go through trace copper
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_paint_via_rings(stack, problem)
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# traces: wide ones are rasterized from their outline, sub-resolution
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# ones become exact 1D resistor chains along their centerline
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index = {name: li for li, name in enumerate(stack.layer_names)}
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narrow = []
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for seg in problem.tracks:
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li = index.get(seg.layer_name)
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if li is None:
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continue
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if seg.width_nm >= config.TRACK_1D_FACTOR * h_nm:
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_paint_ring(stack, seg.outline(config.ARC_TOL_FRACTION * h_nm),
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True, stack.masks[li])
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else:
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narrow.append((li, seg))
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if narrow:
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n_links = _build_chains(stack, problem, narrow)
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print(f"{len(narrow)} trace(s) narrower than "
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f"{config.TRACK_1D_FACTOR:g} cells modeled as 1D resistor "
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f"chains ({n_links} links)")
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_apply_via_mouths(stack, problem)
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if problem.buildups:
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stack.buildup = np.zeros_like(stack.masks)
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index = {name: li for li, name in enumerate(stack.layer_names)}
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for b in problem.buildups:
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li = index.get(b.layer_name)
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if li is None:
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continue
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for poly in b.polygons:
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pmask = np.zeros((ny, nx), dtype=bool)
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_paint_ring(stack, poly.outline, True, pmask)
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for hole in poly.holes:
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_paint_ring(stack, hole, False, pmask)
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stack.buildup[li] |= pmask
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stack.buildup &= stack.masks # solder wets exposed copper only
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_paint_lead_fillets(stack, problem)
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return stack
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def _paint_lead_fillets(stack: RasterStack, problem: Problem) -> None:
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"""Protruding THT leads (barrel contacts AND the net's populated
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stitching through-hole pads): the clipped lead sticks
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tht_protrusion_nm out of the hole on the side opposite the
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component, wrapped by a solder cone - full protrusion height at
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the drill wall, tapering linearly to zero at the pad edge. Modeled
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as extra conduction-equivalent copper via stack.thick_scale: the
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tall solder column next to the wall pulls those cells to lead
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potential (equivalent to extending the barrel wall vertically), the
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taper carries the radial spreading. At f > 0 the factor multiplies
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the skin-corrected sheet conductance, like the via mouths
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(approximation)."""
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H = problem.tht_protrusion_nm
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if H <= 0:
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return
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ny, nx = stack.shape2d
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h = stack.h_nm
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index = {name: li for li, name in enumerate(stack.layer_names)}
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# one cone per joint: contact electrodes first (exact data), then the
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# net's populated stitching THT pads, skipping the contacts' barrels
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jobs = []
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seen = set()
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for e in problem.electrodes1 + problem.electrodes2:
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if e.drill_nm <= 0:
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continue
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if e.center is not None:
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x, y = e.center
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else:
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x = (e.rect.x0 + e.rect.x1) / 2.0
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y = (e.rect.y0 + e.rect.y1) / 2.0
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seen.add((int(x), int(y)))
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if e.solder and e.protrusion_side:
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# oblong pads: taper to the inscribed circle (conservative)
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jobs.append((x, y, e.drill_nm, e.pad_min_nm or e.pad_nm,
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e.protrusion_side))
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for v in problem.vias:
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if v.kind == "pad" and v.solder_filled and v.protrusion_side \
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and (v.x, v.y) not in seen:
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jobs.append((v.x, v.y, v.drill_nm, v.pad_min_nm or v.pad_nm,
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v.protrusion_side))
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for x, y, drill_nm, pad_nm, side in jobs:
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li = index.get(side)
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if li is None or pad_nm <= drill_nm:
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continue
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ra, rb = drill_nm / 2.0, pad_nm / 2.0
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j0 = max(0, math.floor((x - rb - stack.x0_nm) / h))
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j1 = min(nx, math.floor((x + rb - stack.x0_nm) / h) + 1)
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i0 = max(0, math.floor((y - rb - stack.y0_nm) / h))
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i1 = min(ny, math.floor((y + rb - stack.y0_nm) / h) + 1)
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if i0 >= i1 or j0 >= j1:
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continue
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xs = stack.x0_nm + (np.arange(j0, j1) + 0.5) * h - x
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ys = stack.y0_nm + (np.arange(i0, i1) + 0.5) * h - y
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r = np.sqrt(ys[:, None] ** 2 + xs[None, :] ** 2)
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t_sn = H * np.clip((rb - r) / (rb - ra), 0.0, 1.0)
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t_eq = t_sn * (problem.rho_ohm_m / problem.solder_rho_ohm_m)
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factor = 1.0 + t_eq / problem.layers[li].thickness_nm
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if stack.thick_scale is None:
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stack.thick_scale = np.ones(stack.masks.shape)
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m = stack.masks[li, i0:i1, j0:j1]
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stack.thick_scale[li, i0:i1, j0:j1] *= np.where(m, factor, 1.0)
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def _via_span(problem: Problem, via) -> list[int]:
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return [li for li, layer in enumerate(problem.layers)
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if via.spans(layer.z_nm)]
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def _paint_via_rings(stack: RasterStack, problem: Problem) -> None:
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"""Annular-ring / via-pad copper: a full-thickness disc of the pad
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diameter on every layer the barrel spans (kind='via' only - THT pad
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copper stays outside the model). The drill mouth re-opens the disc
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center in _apply_via_mouths."""
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ny, nx = stack.shape2d
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h = stack.h_nm
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for via in problem.vias:
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if via.kind != "via" or via.pad_nm <= 0:
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continue
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r = via.pad_nm / 2.0
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j0 = max(0, math.floor((via.x - r - stack.x0_nm) / h))
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j1 = min(nx, math.floor((via.x + r - stack.x0_nm) / h) + 1)
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i0 = max(0, math.floor((via.y - r - stack.y0_nm) / h))
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i1 = min(ny, math.floor((via.y + r - stack.y0_nm) / h) + 1)
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if i0 >= i1 or j0 >= j1:
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continue
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xs = stack.x0_nm + (np.arange(j0, j1) + 0.5) * h - via.x
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ys = stack.y0_nm + (np.arange(i0, i1) + 0.5) * h - via.y
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disc = (ys[:, None] ** 2 + xs[None, :] ** 2) <= r * r
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for li in _via_span(problem, via):
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stack.masks[li, i0:i1, j0:j1] |= disc
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def _apply_via_mouths(stack: RasterStack, problem: Problem) -> None:
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"""Drill-mouth treatment, area-weighted per cell (4x4 supersampling):
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capped vias carry a cap_plating-thin copper cap over the mouth on the
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OUTER layers, uncapped vias (and inner layers either way) get an open
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hole. The fab caps only small vias: drills above cap_max_drill_nm
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stay open even with vias_capped. THT pad mouths: populated pads are
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solder-filled - the mouth copper stays and stands in for the plug
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(conservative: the plug's solder is worth far more than the foil);
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DNP pad holes are cut open on every layer. Fully swallowed cells
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leave the mask; partially covered cells keep a thickness-scaled
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sheet conductance via stack.thick_scale."""
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ny, nx = stack.shape2d
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h = stack.h_nm
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outer = {li for li, n in enumerate(stack.layer_names)
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if n in ("F.Cu", "B.Cu")}
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sub = (np.arange(4) + 0.5) / 4.0
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for via in problem.vias:
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if via.drill_nm <= 0:
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continue
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if via.kind == "pad" and via.solder_filled:
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continue
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r = via.drill_nm / 2.0
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j0 = max(0, math.floor((via.x - r - stack.x0_nm) / h))
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j1 = min(nx, math.floor((via.x + r - stack.x0_nm) / h) + 1)
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i0 = max(0, math.floor((via.y - r - stack.y0_nm) / h))
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i1 = min(ny, math.floor((via.y + r - stack.y0_nm) / h) + 1)
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if i0 >= i1 or j0 >= j1:
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continue
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xs = stack.x0_nm + (np.arange(j0, j1)[:, None] + sub[None, :]) * h \
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- via.x
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ys = stack.y0_nm + (np.arange(i0, i1)[:, None] + sub[None, :]) * h \
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- via.y
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cov = ((ys[:, None, :, None] ** 2 + xs[None, :, None, :] ** 2)
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<= r * r).mean(axis=(2, 3))
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if not (cov > 0).any():
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continue # mouth far smaller than h
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if stack.thick_scale is None:
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stack.thick_scale = np.ones(stack.masks.shape)
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for li in _via_span(problem, via):
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if via.kind == "via" and problem.vias_capped and li in outer \
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and via.drill_nm <= problem.cap_max_drill_nm:
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ratio = min(problem.cap_plating_nm
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/ problem.layers[li].thickness_nm, 1.0)
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else:
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ratio = 0.0 # open hole (also DNP THT holes)
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s = 1.0 - cov * (1.0 - ratio)
|
|
gone = s <= 1e-9
|
|
stack.masks[li, i0:i1, j0:j1] &= ~gone
|
|
stack.thick_scale[li, i0:i1, j0:j1] *= np.where(gone, 1.0, s)
|
|
|
|
|
|
def _build_chains(stack: RasterStack, problem: Problem,
|
|
narrow: list) -> int:
|
|
"""Sub-resolution traces as 1D resistor chains: mark the cells their
|
|
centerline crosses as copper and record one explicit conductance per
|
|
pair of consecutive cells, allocating the trace's TRUE arc length to
|
|
each link (a diagonal trace is not staircase-inflated). Links whose
|
|
cells are already regular copper AND face-adjacent are skipped there
|
|
(the trace merges into the pour: union, not sum). Returns the number
|
|
of links."""
|
|
L, ny, nx = stack.masks.shape
|
|
plane = ny * nx
|
|
h = stack.h_nm
|
|
regular = stack.masks.copy()
|
|
chain = np.zeros_like(stack.masks)
|
|
aa, bb, gg, ll, dd = [], [], [], [], []
|
|
for li, seg in narrow:
|
|
pts = seg.centerline(0.2 * h)
|
|
d = np.hypot(*np.diff(pts, axis=0).T)
|
|
s = np.concatenate([[0.0], np.cumsum(d)])
|
|
length = float(s[-1])
|
|
n_samp = max(2, int(math.ceil(length / (h / 3.0))) + 1)
|
|
ss = np.linspace(0.0, length, n_samp)
|
|
xs = np.interp(ss, s, pts[:, 0])
|
|
ys = np.interp(ss, s, pts[:, 1])
|
|
jj = np.floor((xs - stack.x0_nm) / h).astype(np.int64)
|
|
ii = np.floor((ys - stack.y0_nm) / h).astype(np.int64)
|
|
jj = np.clip(jj, 0, nx - 1) # bbox includes all tracks;
|
|
ii = np.clip(ii, 0, ny - 1) # clip only guards rounding
|
|
first = np.concatenate(
|
|
[[True], (ii[1:] != ii[:-1]) | (jj[1:] != jj[:-1])])
|
|
ci, cj, cs = ii[first], jj[first], ss[first]
|
|
chain[li, ci, cj] = True
|
|
g0 = (seg.width_nm * 1e-9
|
|
* problem.layers[li].thickness_nm * 1e-9 / problem.rho_ohm_m)
|
|
for k in range(len(ci) - 1):
|
|
dl = (cs[k + 1] - cs[k]) * 1e-9
|
|
if dl <= 0:
|
|
continue
|
|
adj4 = abs(int(ci[k + 1] - ci[k])) + abs(int(cj[k + 1] - cj[k])) == 1
|
|
if adj4 and regular[li, ci[k], cj[k]] \
|
|
and regular[li, ci[k + 1], cj[k + 1]]:
|
|
continue # pour conducts here already
|
|
aa.append(li * plane + int(ci[k]) * nx + int(cj[k]))
|
|
bb.append(li * plane + int(ci[k + 1]) * nx + int(cj[k + 1]))
|
|
gg.append(g0 / dl)
|
|
ll.append(li)
|
|
dd.append(dl)
|
|
stack.chain = chain & ~regular
|
|
stack.masks |= stack.chain
|
|
stack.chain_edges = (np.asarray(aa, dtype=np.int64),
|
|
np.asarray(bb, dtype=np.int64),
|
|
np.asarray(gg, dtype=float),
|
|
np.asarray(ll, dtype=np.int64),
|
|
np.asarray(dd, dtype=float))
|
|
return len(aa)
|
|
|
|
|
|
def _rect_cells(stack: RasterStack, rect: Rect) -> np.ndarray:
|
|
"""Bool (ny, nx) mask of cells whose center lies inside the rectangle."""
|
|
ny, nx = stack.shape2d
|
|
h = stack.h_nm
|
|
out = np.zeros((ny, nx), dtype=bool)
|
|
j0 = max(0, int(math.ceil((rect.x0 - stack.x0_nm) / h - 0.5)))
|
|
j1 = min(nx, int(math.floor((rect.x1 - stack.x0_nm) / h - 0.5)) + 1)
|
|
i0 = max(0, int(math.ceil((rect.y0 - stack.y0_nm) / h - 0.5)))
|
|
i1 = min(ny, int(math.floor((rect.y1 - stack.y0_nm) / h - 0.5)) + 1)
|
|
if i0 < i1 and j0 < j1:
|
|
out[i0:i1, j0:j1] = True
|
|
return out
|
|
|
|
|
|
def _electrode_cells2d(stack: RasterStack, e: Electrode) -> np.ndarray:
|
|
"""2D footprint of the electrode shape (pad polygons or rectangle)."""
|
|
if e.polygons:
|
|
cells = np.zeros(stack.shape2d, dtype=bool)
|
|
for poly in e.polygons:
|
|
pm = np.zeros(stack.shape2d, dtype=bool)
|
|
_paint_ring(stack, poly.outline, True, pm)
|
|
for hole in poly.holes:
|
|
_paint_ring(stack, hole, False, pm)
|
|
cells |= pm
|
|
if not cells.any():
|
|
# shape smaller than one grid cell (small pad): use the cell
|
|
# containing its center
|
|
r = e.rect
|
|
c = stack.cell_of((r.x0 + r.x1) / 2, (r.y0 + r.y1) / 2)
|
|
if c is not None:
|
|
cells[c] = True
|
|
return cells
|
|
return _rect_cells(stack, e.rect)
|
|
|
|
|
|
def _barrel_ring2d(stack: RasterStack, e: Electrode,
|
|
mask2d: np.ndarray) -> np.ndarray:
|
|
"""Contact cells of a barrel electrode on one layer: the copper ring
|
|
at the drill wall (cell centers within one cell of radius drill/2),
|
|
where the lead/wire soldered into the hole actually meets the layer.
|
|
If rasterization or an antipad leaves no copper there, fall back to
|
|
the nearest copper ring within the pad footprint (+1 cell of slop) -
|
|
the same search bound as the solver's barrel attachment."""
|
|
ny, nx = stack.shape2d
|
|
h = stack.h_nm
|
|
if e.center is not None:
|
|
x, y = e.center
|
|
else:
|
|
x = (e.rect.x0 + e.rect.x1) / 2.0
|
|
y = (e.rect.y0 + e.rect.y1) / 2.0
|
|
r = e.drill_nm / 2.0
|
|
rw = max(e.pad_nm, e.drill_nm + 300_000) / 2.0 + h
|
|
out = np.zeros((ny, nx), dtype=bool)
|
|
j0 = max(0, math.floor((x - rw - stack.x0_nm) / h))
|
|
j1 = min(nx, math.floor((x + rw - stack.x0_nm) / h) + 1)
|
|
i0 = max(0, math.floor((y - rw - stack.y0_nm) / h))
|
|
i1 = min(ny, math.floor((y + rw - stack.y0_nm) / h) + 1)
|
|
if i0 >= i1 or j0 >= j1:
|
|
return out
|
|
xs = stack.x0_nm + (np.arange(j0, j1) + 0.5) * h - x
|
|
ys = stack.y0_nm + (np.arange(i0, i1) + 0.5) * h - y
|
|
d = np.sqrt(ys[:, None] ** 2 + xs[None, :] ** 2)
|
|
m = mask2d[i0:i1, j0:j1]
|
|
ring = m & (np.abs(d - r) <= h)
|
|
if not ring.any():
|
|
dc = np.where(m & (d <= rw), d, np.inf)
|
|
dmin = dc.min()
|
|
if np.isfinite(dmin):
|
|
ring = dc <= dmin + h # e.g. thermal-spoke tips
|
|
out[i0:i1, j0:j1] = ring
|
|
return out
|
|
|
|
|
|
def _part_mask3d(stack: RasterStack, problem: Problem,
|
|
el: Electrode) -> np.ndarray:
|
|
"""(L, ny, nx) contact cells of one electrode part: the barrel-wall
|
|
ring on every spanned layer for via/THT-pad contacts, else the
|
|
part's shape ∩ copper on its contact layer(s)."""
|
|
part = np.zeros_like(stack.masks)
|
|
if el.drill_nm > 0:
|
|
for li, name in enumerate(stack.layer_names):
|
|
if el.contact not in ("all", name):
|
|
continue
|
|
if el.barrel_z is not None:
|
|
z = problem.layers[li].z_nm
|
|
if not (el.barrel_z[0] - 1 <= z <= el.barrel_z[1] + 1):
|
|
continue
|
|
part[li] = _barrel_ring2d(stack, el, stack.masks[li])
|
|
return part
|
|
cells2d = _electrode_cells2d(stack, el)
|
|
for li, name in enumerate(stack.layer_names):
|
|
if el.contact in ("all", name):
|
|
part[li] = cells2d & stack.masks[li]
|
|
return part
|
|
|
|
|
|
def electrode_masks(stack: RasterStack, problem: Problem
|
|
) -> tuple[np.ndarray, np.ndarray]:
|
|
"""Terminal mask = OR over its parts; part = shape ∩ copper on the
|
|
part's contact layer(s), or the barrel-wall ring for via/THT-pad
|
|
contacts (current enters through the soldered barrel, not the pad
|
|
face). contact 'all' = every included layer (bolted lug / through
|
|
pad); a layer name = that layer only. Every part must individually
|
|
land on copper (clear feedback). V+/V- must not overlap; touching is
|
|
checked later, only for the equipotential contact model."""
|
|
def build(parts: list[Electrode], which: str) -> np.ndarray:
|
|
e = np.zeros_like(stack.masks)
|
|
for el in parts:
|
|
part = _part_mask3d(stack, problem, el)
|
|
if not part.any():
|
|
where = ("near its barrel (drill-wall ring / pad footprint)"
|
|
if el.drill_nm > 0 else
|
|
"(or is smaller than one grid cell)")
|
|
raise ElectrodeError(
|
|
f"A {which} contact part ({el.label}) does not overlap "
|
|
f"any copper of the selected fill on contact layer(s) "
|
|
f"'{el.contact}' {where}."
|
|
)
|
|
e |= part
|
|
if not e.any():
|
|
raise ElectrodeError(f"The {which} terminal has no contact parts.")
|
|
return e
|
|
|
|
e1 = build(problem.electrodes1, "V+")
|
|
e2 = build(problem.electrodes2, "V-")
|
|
|
|
if (e1 & e2).any():
|
|
raise ElectrodeError(
|
|
"The V+ and V- contact areas overlap on the copper grid. "
|
|
"Move them apart."
|
|
)
|
|
return e1, e2
|
|
|
|
|
|
def electrode_partition(stack: RasterStack, problem: Problem
|
|
) -> tuple[list, list]:
|
|
"""Per-part cell masks for both terminals, as [(label, mask3d), ...].
|
|
Cells covered by several overlapping parts are attributed to the
|
|
FIRST part (first-wins partition), so part currents sum exactly to
|
|
the terminal current."""
|
|
def build(parts: list[Electrode]) -> list:
|
|
out = []
|
|
claimed = np.zeros_like(stack.masks)
|
|
for el in parts:
|
|
m = _part_mask3d(stack, problem, el)
|
|
m &= ~claimed
|
|
claimed |= m
|
|
out.append((el.label, m))
|
|
return out
|
|
|
|
return build(problem.electrodes1), build(problem.electrodes2)
|
|
|
|
|
|
def electrodes_touch(stack: RasterStack, e1: np.ndarray,
|
|
e2: np.ndarray) -> str | None:
|
|
"""Layer name where the terminals are 4-adjacent, or None."""
|
|
for li in range(stack.nlayers):
|
|
if (ndimage.binary_dilation(e1[li], structure=_STRUCT4) & e2[li]).any():
|
|
return stack.layer_names[li]
|
|
return None
|