How to use Python scripts to implement Boolean operations between shapes on the same layer?

Comments

• Emrecan

  February 1

  The picture shows the demonstration of the operation directly in the Klayout software
• tomas2004

  February 1 edited February 1

  Hello,

  You can make a small drc script:

  layer2 = layer1.raw.merged(2) # this will give you the overlaps

  layer3 = layer1 - layer2

  https://www.klayout.de/doc-qt5/about/drc_ref_layer.html#h2-1746

  Cheers,

  Tomas
• Emrecan

  February 1

  Thank you Tomas, I wrote the following code to solve the above problem

  import klayout.db as db

  ly = db.Layout()
  ly.read("contours.gds")

  top_cell = ly.top_cell()

  l1 = ly.layer(1, 0)
  r1 = db.Region(top_cell.begin_shapes_rec(l1))
  r2 = r1.merged(2)
  r3 = r1 - r2

  ly.clear_layer(l1)
  top_cell.shapes(l1).insert(r3)

  ly.write("contour_process.gds")
• tomas2004

  February 1 edited February 1

  Indeed, region is similar... Maybe for huge layouts drc is faster?

  It looks fancy, may I know what's it for?

  Cheers,

  Tomas
• Matthias

  February 2

  Hi @Emrecan,

  In GDS, the general interpretation of overlapping shapes is to "combine" into a single shape. This is called "merged semantics" in KLayout and is the default assumption in general. So the islands you highlight are basically irrelevant for the boolean operations.

  I assume your sample is not a VLSI layout - it rather looks like geographic or image data? So maybe in that domain the expectation is differently.

  Problem is, that DRC or Python's Region object has limited support for handling overlapping shapes. Please see the reply of @tomas2004 - the "merged(2)" approach is actually the best option to separate overlapping shapes.

  But that leaves the question open, how to handle triple overlaps or partial overlaps. In VLSI, that problem does not exist as shapes are always cleanly separated into layers.

  Matthias
• Emrecan

  February 5

  Thanks Matthias，I got it.