def produce_impl(self):
squares = [2, 5, 10, 20]
width = self.w * 1000
length = max(squares) * self.w * 1000
fox_bloat = 40000
ito_bloat = 10000
pad = pya.Box(pya.Point(0, 0), pya.Point(80000, 80000))
self.cell.shapes(self.nno_layer).insert(pad)
pads = [pad]
for s in squares:
length = s * self.w * 1000
newpad = pad.moved(length + 80000, 0)
pads.append(newpad)
fox_extent_box = pya.Box(0, 0, 160000 + max(squares) * self.w * 1000,
80000).enlarge(pya.Point(
fox_bloat, fox_bloat))
fox_box = pya.Polygon(fox_extent_box)
fox_box_cutout = pya.Region(
pya.Box(pya.Point(80000, 40000 - width / 2),
pya.Point(80000 + length, 40000 + width / 2)))
for p in pads:
fox_box_cutout.insert(p)
self.cell.shapes(self.nno_layer).insert(p)
fox_box = pya.Region(fox_box) - fox_box_cutout
self.cell.shapes(self.fox_layer).insert(fox_box)
ito_extent_box = fox_extent_box.dup()
ito_extent_box.enlarge(pya.Point(ito_bloat, ito_bloat))
ito_iso = pya.Polygon(ito_extent_box)
ito_iso.insert_hole(fox_extent_box)
self.cell.shapes(self.ito_layer).insert(ito_iso)
self.cell.shapes(self.hfoetch_layer).insert(ito_extent_box)
def check_inclusion(
gdspath: ComponentOrPath,
layer_in: Tuple[int, int] = (1, 0),
layer_out: Tuple[int, int] = (2, 0),
min_inclusion: float = 0.150,
dbu: float = 1e3,
ignore_angle_deg: int = 80,
whole_edges: bool = False,
metrics: str = "Square",
min_projection: None = None,
max_projection: None = None,
) -> int:
"""reads layer from top cell and returns a the area that violates min inclusion
if 0 no area violates exclusion
Args:
gdspath: path to GDS
layer_in: tuple
layer_out: tuple
min_inclusion: in um
dbu: database units (1000 um/nm)
ignore_angle_deg: The angle above which no check is performed
whole_edges: If true, deliver the whole edges
metrics: Specify the metrics type
min_projection: lower threshold of the projected length of one edge onto another
max_projection: upper limit of the projected length of one edge onto another
"""
import klayout.db as pya
from gdsfactory.component import Component
if isinstance(gdspath, Component):
gdspath.flatten()
gdspath = gdspath.write_gds()
layout = pya.Layout()
layout.read(str(gdspath))
cell = layout.top_cell()
a = pya.Region(
cell.begin_shapes_rec(layout.layer(layer_in[0], layer_in[1])))
b = pya.Region(
cell.begin_shapes_rec(layout.layer(layer_out[0], layer_out[1])))
valid_metrics = ["Square", "Euclidian"]
if metrics not in valid_metrics:
raise ValueError("metrics = {metrics!r} not in {valid_metrics}")
metrics = getattr(pya.Region, metrics)
d = b.inside_check(
a,
min_inclusion * dbu,
whole_edges,
metrics,
ignore_angle_deg,
min_projection,
max_projection,
)
return d.polygons().area()
def check_inclusion(
gdspath,
layer_in=(1, 0),
layer_out=(2, 0),
min_inclusion=0.150,
dbu=1e3,
ignore_angle_deg=80,
whole_edges=False,
metrics=None,
min_projection=None,
max_projection=None,
):
"""reads layer from top cell and returns a the area that violates min inclusion
if 0 no area violates exclusion
Args:
gdspath: path to GDS
layer_in: tuple
layer_out: tuple
min_inclusion: in um
dbu: database units (1000 um/nm)
ignore_angle_deg: The angle above which no check is performed
other: The other region against which to check
whole_edges: If true, deliver the whole edges
metrics: Specify the metrics type
min_projection The lower threshold of the projected length of one edge onto another
max_projection The upper limit of the projected length of one edge onto another
"""
from pp.component import Component
from pp.write_component import write_gds
if isinstance(gdspath, Component):
gdspath.flatten()
gdspath = write_gds(gdspath)
layout = pya.Layout()
layout.read(str(gdspath))
cell = layout.top_cell()
a = pya.Region(
cell.begin_shapes_rec(layout.layer(layer_in[0], layer_in[1])))
b = pya.Region(
cell.begin_shapes_rec(layout.layer(layer_out[0], layer_out[1])))
d = b.inside_check(
a,
min_inclusion * dbu,
whole_edges,
metrics,
ignore_angle_deg,
min_projection,
max_projection,
)
return d.polygons().area()
def check_width(gdspath,
layer: Tuple[int, int] = (1, 0),
min_width: float = 0.150,
dbu: float = 1e3):
"""Reads layer from top cell and returns a number of edges violating min width
Args:
gdspath: path to GDS or Component
layer: tuple (int, int)
min_width: in um
dbu: database units (1000 um/nm)
"""
from pp.component import Component
from pp.write_component import write_gds
if isinstance(gdspath, Component):
gdspath.flatten()
gdspath = write_gds(gdspath)
layout = pya.Layout()
layout.read(str(gdspath))
cell = layout.top_cell()
region = pya.Region(cell.begin_shapes_rec(layout.layer(layer[0],
layer[1])))
# print(region)
# print(min_width*1e3)
return len(region.width_check(min_width * dbu))
def demo():
a = pya.Region()
a.insert(pya.Box(0, 0, 100, 1000))
b = pya.Region()
b.insert(pya.Box(200, 0, 300, 1000))
c = pya.Region()
c.insert(pya.Box(0, 0, 500, 500))
print("c", c.width_check(200))
# width check (w < 200 DBU)
# simple version -> more options available for the complex variant of this method
too_small = a.width_check(200)
# space check (here: separation between a and b, s < 200 DBU)
too_close = a.separation_check(b, 200)
# NOTE: "too_small" and "too_close" are pya.EdgePairs collections of error markers
print("too_small is: ", too_small)
print("too_close is: ", too_close)
layout = pya.Layout()
layout.dbu = 0.001
TOP = layout.create_cell("TOP")
workingLayer = layout.layer(4, 0)
chipBorder = layout.layer(7, 0) #computational layer
maskBorder = layout.layer(10, 0) #nbtin layer
outputLayer = layout.layer(1, 0)
sourceLayer = layout.layer(3, 0)
port1Layer = layout.layer(2, 0)
port2Layer = layout.layer(5, 0)
ex = pya.DVector(1, 0)
ey = pya.DVector(0, 1)
upperRegion = pya.Region()
lowerRegion = pya.Region()
feedlineRegion = pya.Region()
lowZRegion = pya.Region()
highZRegion = pya.Region()
#insert chip/mask border
chipWidth = 11000
chipLength = 19000
#layout_box(TOP, chipBorder, -chipWidth*ex-50000*ey, chipWidth*ex + 50000*ey, ex)
maskWidth = 11600
maskHeight = 19600
#layout_box(TOP, maskBorder, -chipWidth/2*ex -300*ex - maskHeight/2*ey, chipWidth/2*ex+(300)*ex + maskHeight/2*ey, ex)
upperWGBondPadHeight = 450
def check_space(
gdspath: ComponentOrPath,
layer: Tuple[int, int] = (1, 0),
min_space: float = 0.150,
dbu: float = 1e3,
ignore_angle_deg: int = 80,
whole_edges: bool = False,
metrics: str = "Square",
min_projection: None = None,
max_projection: None = None,
) -> int:
"""Reads layer from top cell and returns a the area that violates min space.
If "whole_edges" is true, the resulting EdgePairs collection will receive the whole edges which contribute in the space check.
"metrics" can be one of the constants Euclidian, Square or Projection. See there for a description of these constants.
Use nil for this value to select the default (Euclidian metrics).
"ignore_angle" specifies the angle limit of two edges. If two edges form an angle equal or above the given value, they will not contribute in
the check. Setting this value to 90 (the default) will exclude edges with an angle of 90 degree or more from the check.
Use nil for this value to select the default.
"min_projection" and "max_projection" allow selecting edges by their projected value upon each other. It is sufficient if the projection of on
e edge on the other matches the specified condition. The projected length must be larger or equal to "min_projection" and less than "max_proje
ction". If you don't want to specify one limit, pass nil to the respective value.
Args:
gdspath: path to GDS or Component
layer: tuple
min_space: in um
dbu: database units (1000 um/nm)
ignore_angle_deg: The angle above which no check is performed
other: The other region against which to check
whole_edges: If true, deliver the whole edges
metrics: Specify the metrics type 'Euclidian, square'
min_projection The lower threshold of the projected length of one edge onto another
max_projection The upper limit of the projected length of one edge onto another
"""
if isinstance(gdspath, Component):
gdspath.flatten()
gdspath = gdspath.write_gds()
layout = pya.Layout()
layout.read(str(gdspath))
cell = layout.top_cell()
region = pya.Region(cell.begin_shapes_rec(layout.layer(layer[0],
layer[1])))
valid_metrics = ["Square", "Euclidian"]
if metrics not in valid_metrics:
raise ValueError("metrics = {metrics} not in {valid_metrics}")
metrics = getattr(pya.Region, metrics)
d = region.space_check(
min_space * dbu,
whole_edges,
metrics,
ignore_angle_deg,
min_projection,
max_projection,
)
# print(d.polygons().area())
return d.polygons().area()
ignore_angle_deg,
min_projection,
max_projection,
)
# print(d.polygons().area())
return d.polygons().area()
if __name__ == "__main__":
import gdsfactory as gf
space = 0.12
min_space = 0.1
dbu = 1000
layer = gf.LAYER.WG
gdspath = gf.components.straight_array(spacing=space)
gf.show(gdspath)
if isinstance(gdspath, Component):
gdspath.flatten()
gdspath = gdspath.write_gds()
layout = pya.Layout()
layout.read(str(gdspath))
cell = layout.top_cell()
region = pya.Region(cell.begin_shapes_rec(layout.layer(layer[0],
layer[1])))
print(region.corners().area())
metrics = "Square"
metrics = getattr(pya.Region, metrics)
d = region.space_check(min_space * dbu, False, metrics, 80, None, None)
