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| GNU GENERAL PUBLIC LICENSE | |||
| Version 3, 29 June 2007 | |||
| Copyright (C) 2007 Free Software Foundation, Inc. <http://fsf.org/> | |||
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| Preamble | |||
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| License and any other pertinent obligations, then as a consequence you may | |||
| not convey it at all. For example, if you agree to terms that obligate you | |||
| to collect a royalty for further conveying from those to whom you convey | |||
| the Program, the only way you could satisfy both those terms and this | |||
| License would be to refrain entirely from conveying the Program. | |||
| 13. Use with the GNU Affero General Public License. | |||
| Notwithstanding any other provision of this License, you have | |||
| permission to link or combine any covered work with a work licensed | |||
| under version 3 of the GNU Affero General Public License into a single | |||
| combined work, and to convey the resulting work. The terms of this | |||
| License will continue to apply to the part which is the covered work, | |||
| but the special requirements of the GNU Affero General Public License, | |||
| section 13, concerning interaction through a network will apply to the | |||
| combination as such. | |||
| 14. Revised Versions of this License. | |||
| The Free Software Foundation may publish revised and/or new versions of | |||
| the GNU General Public License from time to time. Such new versions will | |||
| be similar in spirit to the present version, but may differ in detail to | |||
| address new problems or concerns. | |||
| Each version is given a distinguishing version number. If the | |||
| Program specifies that a certain numbered version of the GNU General | |||
| Public License "or any later version" applies to it, you have the | |||
| option of following the terms and conditions either of that numbered | |||
| version or of any later version published by the Free Software | |||
| Foundation. If the Program does not specify a version number of the | |||
| GNU General Public License, you may choose any version ever published | |||
| by the Free Software Foundation. | |||
| If the Program specifies that a proxy can decide which future | |||
| versions of the GNU General Public License can be used, that proxy's | |||
| public statement of acceptance of a version permanently authorizes you | |||
| to choose that version for the Program. | |||
| Later license versions may give you additional or different | |||
| permissions. However, no additional obligations are imposed on any | |||
| author or copyright holder as a result of your choosing to follow a | |||
| later version. | |||
| 15. Disclaimer of Warranty. | |||
| THERE IS NO WARRANTY FOR THE PROGRAM, TO THE EXTENT PERMITTED BY | |||
| APPLICABLE LAW. EXCEPT WHEN OTHERWISE STATED IN WRITING THE COPYRIGHT | |||
| HOLDERS AND/OR OTHER PARTIES PROVIDE THE PROGRAM "AS IS" WITHOUT WARRANTY | |||
| OF ANY KIND, EITHER EXPRESSED OR IMPLIED, INCLUDING, BUT NOT LIMITED TO, | |||
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| IS WITH YOU. SHOULD THE PROGRAM PROVE DEFECTIVE, YOU ASSUME THE COST OF | |||
| ALL NECESSARY SERVICING, REPAIR OR CORRECTION. | |||
| 16. Limitation of Liability. | |||
| IN NO EVENT UNLESS REQUIRED BY APPLICABLE LAW OR AGREED TO IN WRITING | |||
| WILL ANY COPYRIGHT HOLDER, OR ANY OTHER PARTY WHO MODIFIES AND/OR CONVEYS | |||
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| EVEN IF SUCH HOLDER OR OTHER PARTY HAS BEEN ADVISED OF THE POSSIBILITY OF | |||
| SUCH DAMAGES. | |||
| 17. Interpretation of Sections 15 and 16. | |||
| If the disclaimer of warranty and limitation of liability provided | |||
| above cannot be given local legal effect according to their terms, | |||
| reviewing courts shall apply local law that most closely approximates | |||
| an absolute waiver of all civil liability in connection with the | |||
| Program, unless a warranty or assumption of liability accompanies a | |||
| copy of the Program in return for a fee. | |||
| END OF TERMS AND CONDITIONS | |||
| How to Apply These Terms to Your New Programs | |||
| If you develop a new program, and you want it to be of the greatest | |||
| possible use to the public, the best way to achieve this is to make it | |||
| free software which everyone can redistribute and change under these terms. | |||
| To do so, attach the following notices to the program. It is safest | |||
| to attach them to the start of each source file to most effectively | |||
| state the exclusion of warranty; and each file should have at least | |||
| the "copyright" line and a pointer to where the full notice is found. | |||
| {one line to give the program's name and a brief idea of what it does.} | |||
| Copyright (C) {year} {name of author} | |||
| This program is free software: you can redistribute it and/or modify | |||
| it under the terms of the GNU General Public License as published by | |||
| the Free Software Foundation, either version 3 of the License, or | |||
| (at your option) any later version. | |||
| This program is distributed in the hope that it will be useful, | |||
| but WITHOUT ANY WARRANTY; without even the implied warranty of | |||
| MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the | |||
| GNU General Public License for more details. | |||
| You should have received a copy of the GNU General Public License | |||
| along with this program. If not, see <http://www.gnu.org/licenses/>. | |||
| Also add information on how to contact you by electronic and paper mail. | |||
| If the program does terminal interaction, make it output a short | |||
| notice like this when it starts in an interactive mode: | |||
| {project} Copyright (C) {year} {fullname} | |||
| This program comes with ABSOLUTELY NO WARRANTY; for details type `show w'. | |||
| This is free software, and you are welcome to redistribute it | |||
| under certain conditions; type `show c' for details. | |||
| The hypothetical commands `show w' and `show c' should show the appropriate | |||
| parts of the General Public License. Of course, your program's commands | |||
| might be different; for a GUI interface, you would use an "about box". | |||
| You should also get your employer (if you work as a programmer) or school, | |||
| if any, to sign a "copyright disclaimer" for the program, if necessary. | |||
| For more information on this, and how to apply and follow the GNU GPL, see | |||
| <http://www.gnu.org/licenses/>. | |||
| The GNU General Public License does not permit incorporating your program | |||
| into proprietary programs. If your program is a subroutine library, you | |||
| may consider it more useful to permit linking proprietary applications with | |||
| the library. If this is what you want to do, use the GNU Lesser General | |||
| Public License instead of this License. But first, please read | |||
| <http://www.gnu.org/philosophy/why-not-lgpl.html>. | |||
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README.txt
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| @@ -0,0 +1,5 @@ | |||
| a history of the domino problemo | |||
| note that this code produces files in two subfolders | |||
| the supercollider code makes png files in a subfolder called "visualization" | |||
| the klayout code reads the above files and outputs gds files in a subfolder called "gds" | |||
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gds/.gitignore
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| @@ -0,0 +1 @@ | |||
| *.gds | |||
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klayout/combine_image_with_alignment_marks.py
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| @@ -0,0 +1,38 @@ | |||
| import pya | |||
| import os | |||
| base_dir = os.path.dirname(os.path.abspath(__file__)) | |||
| ly1 = pya.Layout() | |||
| ly1.read(os.path.join(base_dir, "..", "gds", "alignment_marks_overlapped.gds")) | |||
| ly2 = pya.Layout() | |||
| ly2.read(os.path.join(base_dir, "..", "gds", "image_overlapped.gds")) | |||
| ly1_top_cell = ly1.top_cell() | |||
| tmp = ly1.create_cell("Image") | |||
| tmp.copy_tree(ly2.top_cell()) | |||
| ly1_top_cell.insert(pya.CellInstArray(tmp.cell_index(), pya.Trans(3, False, 0, 0))) | |||
| ly1.rename_cell(ly1_top_cell.cell_index(), "All") | |||
| ly1_top_cell.flatten(1) | |||
| ly1.write(os.path.join(base_dir, "..", "gds", "image_with_alignment_marks_overlapped.gds")) | |||
| ly1 = pya.Layout() | |||
| ly1.read(os.path.join(base_dir, "..", "gds", "inverted_tonality", "alignment_marks_overlapped_inverse.gds")) | |||
| ly2 = pya.Layout() | |||
| ly2.read(os.path.join(base_dir, "..", "gds", "inverted_tonality", "image_overlapped_inverse.gds")) | |||
| ly2.top_cell().transform_into(pya.Trans(3, False, 0, 0)) | |||
| processor = pya.ShapeProcessor() | |||
| processor.boolean(ly1, ly1.top_cell(), 0, ly2, ly2.top_cell(), 0, ly1.top_cell().shapes(0), 1, False, False, True) | |||
| processor = pya.ShapeProcessor() | |||
| processor.boolean(ly1, ly1.top_cell(), 1, ly2, ly2.top_cell(), 1, ly1.top_cell().shapes(1), 1, False, False, True) | |||
| ly1.write(os.path.join(base_dir, "..", "gds", "inverted_tonality", "image_with_alignment_marks_overlapped_inverse.gds")) | |||
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klayout/generate_alignment_marks.py
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| @@ -0,0 +1,449 @@ | |||
| import pya | |||
| import os | |||
| base_dir = os.path.dirname(os.path.abspath(__file__)) | |||
| # init vars | |||
| pixel_size = 20 | |||
| shift_mult = 5 | |||
| image_size = 4266 * pixel_size * 100 #calculate this directly (4266 and 4242 for shift_mult 5 and 3, respectively) | |||
| image_size_half = image_size / 2 | |||
| image_dist = (shift_mult * 3 * 2 + 2) * pixel_size * 100 | |||
| object_border = 0 | |||
| #print(image_dist) | |||
| # create layout | |||
| layout = pya.Layout() | |||
| layout.dbu = 0.01 | |||
| top = layout.create_cell("Top") | |||
| layer1_index = layout.insert_layer(pya.LayerInfo.new(1, 0)) | |||
| layer2_index = layout.insert_layer(pya.LayerInfo.new(2, 0)) | |||
| layer3_index = layout.insert_layer(pya.LayerInfo.new(3, 0)) | |||
| layer4_index = layout.insert_layer(pya.LayerInfo.new(4, 0)) | |||
| layer5_index = layout.insert_layer(pya.LayerInfo.new(5, 0)) | |||
| # wafer limits | |||
| wafer = layout.create_cell("Wafer") | |||
| wafer_circle_limit = layout.create_cell("CIRCLE", "Basic", | |||
| { "actual_radius": 75000, "npoints": 256, "layer": pya.LayerInfo(5, 0)} ) | |||
| wafer1_cell_border = layout.create_cell("DONUT", "Basic", | |||
| { "actual_radius1": 67500, "actual_radius2": 75000, "npoints": 256, "layer": pya.LayerInfo(1, 0)} ) | |||
| wafer2_cell_border = layout.create_cell("DONUT", "Basic", | |||
| { "actual_radius1": 67500, "actual_radius2": 75000, "npoints": 256, "layer": pya.LayerInfo(2, 0)} ) | |||
| wafer.insert(pya.CellInstArray(wafer_circle_limit.cell_index(), pya.Trans(0, 0))) | |||
| wafer.insert(pya.CellInstArray(wafer1_cell_border.cell_index(), pya.Trans(0, 0))) | |||
| wafer.insert(pya.CellInstArray(wafer2_cell_border.cell_index(), pya.Trans(0, 0))) | |||
| limit_region = pya.Region(wafer_circle_limit.begin_shapes_rec(layer5_index)) | |||
| wafer1_fill_region = pya.Region() | |||
| wafer1_fill_region.insert(pya.Box(-7500000, -6850000 + 1750000, 7500000, -1 * (6850000 + 1850000))) #mount area fill | |||
| frame_width = 300000 | |||
| square_width = 2000000 | |||
| wafer1_fill_region.insert(pya.Box(image_size_half, image_size_half, image_size_half + square_width, image_size_half + square_width)) #encoder | |||
| wafer1_fill_region.insert(pya.Box(image_size_half, -1 * image_size_half, image_size_half + square_width, -1 * (image_size_half + square_width))) #encoder | |||
| wafer1_fill_region.insert(pya.Box(-1 * image_size_half, image_size_half, -1 * (image_size_half + square_width), image_size_half + square_width)) #encoder | |||
| wafer1_fill_region.insert(pya.Box(-1 * image_size_half, -1 * image_size_half, -1 * (image_size_half + square_width), -1 * (image_size_half + square_width))) #encoder | |||
| wafer.shapes(layer1_index).insert(limit_region & wafer1_fill_region) | |||
| wafer2_fill_region = pya.Region() | |||
| wafer2_fill_region.insert(pya.Box(-7500000, 6850000 - 1750000, 7500000, 6850000 + 1850000)) #mount area fill | |||
| wafer2_fill_region.insert(pya.Box(image_size_half, image_size_half, image_size_half + square_width, image_size_half + square_width)) #encoder | |||
| wafer2_fill_region.insert(pya.Box(image_size_half, -1 * image_size_half, image_size_half + square_width, -1 * (image_size_half + square_width))) #encoder | |||
| wafer2_fill_region.insert(pya.Box(-1 * image_size_half, image_size_half, -1 * (image_size_half + square_width), image_size_half + square_width)) #encoder | |||
| wafer2_fill_region.insert(pya.Box(-1 * image_size_half, -1 * image_size_half, -1 * (image_size_half + square_width), -1 * (image_size_half + square_width))) #encoder | |||
| wafer.shapes(layer2_index).insert(limit_region & wafer2_fill_region) | |||
| wafer.shapes(layer3_index).insert(pya.Box(-7500000, -6850000, 7500000, 6850000 - 1850000)) #printable area wafer 1 | |||
| wafer.shapes(layer4_index).insert(pya.Box(-7500000, 6850000, 7500000, -1 * (6850000 - 1850000))) #printable area wafer 2 | |||
| top.insert(pya.CellInstArray(wafer.cell_index(), pya.Trans(0, 0))) | |||
| layout.rename_cell(wafer.cell_index(), "Wafer_Border") | |||
| # def for circ grating | |||
| def gen_circ_grating(pitch, width, square_size, name): | |||
| #create grating archetype for circ grating | |||
| circ_grating = layout.create_cell("Circ_Grating") | |||
| circ_grating_inv = layout.create_cell("Circ_Grating_Inv") | |||
| i = 0 | |||
| while (i * pitch) < (8000): | |||
| donut = layout.create_cell("DONUT", "Basic", | |||
| { "actual_radius1": (i * pitch), "actual_radius2": (i * pitch + width), "npoints": 256, "layer": pya.LayerInfo(1, 0)} ) | |||
| circ_grating.insert(pya.CellInstArray(donut.cell_index(), pya.Trans(0, 0))) | |||
| i = i + 1 | |||
| i = 0 | |||
| while (i * pitch) < (8000): | |||
| donut = layout.create_cell("DONUT", "Basic", | |||
| { "actual_radius1": (i * pitch) + width, "actual_radius2": (i * pitch + width) + width, "npoints": 256, "layer": pya.LayerInfo(2, 0)} ) | |||
| circ_grating_inv.insert(pya.CellInstArray(donut.cell_index(), pya.Trans(0, 0))) | |||
| i = i + 1 | |||
| circ_grating_clip = layout.clip(circ_grating.cell_index(), pya.Box(-1 * square_size, -1 * square_size, square_size, square_size)) | |||
| circ_grating_inv_clip = layout.clip(circ_grating_inv.cell_index(), pya.Box(-1 * square_size, -1 * square_size, square_size, square_size)) | |||
| circ_grating.delete() | |||
| circ_grating_inv.delete() | |||
| layout.rename_cell(circ_grating_clip, name + "_Clip") | |||
| layout.rename_cell(circ_grating_inv_clip, name + "_Inv_Clip") | |||
| return [circ_grating_clip, circ_grating_inv_clip] | |||
| # verniers | |||
| linear_grating_vernier = layout.create_cell("Vernier") | |||
| base_period = image_size_half - 500000 | |||
| revealing_period = image_dist | |||
| velocity_ratio = 1 | |||
| pitch1 = (base_period * (revealing_period / velocity_ratio)) / (base_period - (revealing_period / velocity_ratio)) | |||
| pitch2 = revealing_period / velocity_ratio | |||
| opening1 = 4000 | |||
| #print(pitch1) | |||
| #print(pitch2) | |||
| frame_width = 300000 | |||
| for i in range(-1 * int((image_size_half) / pitch1), int((image_size_half) / pitch1)): | |||
| line = layout.create_cell("Line") | |||
| line.shapes(layer2_index).insert(pya.Box(opening1 / 2, -1 * frame_width, pitch1 - opening1 / 2, 0)) | |||
| linear_grating_vernier.insert(pya.CellInstArray(line.cell_index(), pya.Trans(i * pitch1, 0))) | |||
| for i in range(-1 * int((image_size_half - image_dist) / pitch2), int((image_size_half - image_dist) / pitch2)): | |||
| line = layout.create_cell("Line") | |||
| line.shapes(layer1_index).insert(pya.Box(opening1 / 2, -1 * frame_width, pitch2 - opening1 / 2, 0)) | |||
| linear_grating_vernier.insert(pya.CellInstArray(line.cell_index(), pya.Trans(i * pitch2, 0))) | |||
| base_period = -1 * (image_size_half - 500000) | |||
| revealing_period = image_dist | |||
| velocity_ratio = 5 | |||
| pitch3 = (base_period * (revealing_period / velocity_ratio)) / (base_period - (revealing_period / velocity_ratio)) | |||
| pitch4 = revealing_period / velocity_ratio | |||
| opening2 = 800 | |||
| for i in range(-1 * int(image_size_half / pitch3), int(image_size_half / pitch3)): | |||
| line = layout.create_cell("Line") | |||
| line.shapes(layer2_index).insert(pya.Box(opening2 / 2, 0, pitch3 - opening2 / 2, frame_width)) | |||
| linear_grating_vernier.insert(pya.CellInstArray(line.cell_index(), pya.Trans(i * pitch3, 0))) | |||
| for i in range(-1 * int((image_size_half - image_dist) / pitch4), int((image_size_half - image_dist) / pitch4)): | |||
| line = layout.create_cell("Line") | |||
| line.shapes(layer1_index).insert(pya.Box(opening2 / 2, 0, pitch4 - opening2 / 2, frame_width)) | |||
| linear_grating_vernier.insert(pya.CellInstArray(line.cell_index(), pya.Trans(i * pitch4, 0))) | |||
| line = layout.create_cell("Line") | |||
| line.shapes(layer2_index).insert(pya.Box(image_size_half - (2 * image_dist), -1 * frame_width, image_size_half, 0)) | |||
| line.shapes(layer2_index).insert(pya.Box(-1 * (image_size_half - (2 * image_dist)), -1 * frame_width, -1 * (image_size_half), 0)) | |||
| line.shapes(layer2_index).insert(pya.Box(image_size_half - (2 * image_dist), image_dist, image_size_half, image_dist + frame_width)) | |||
| line.shapes(layer2_index).insert(pya.Box(-1 * (image_size_half - (2 * image_dist)), image_dist, -1 * (image_size_half), image_dist + frame_width)) | |||
| #These four lines can be taken away to get rid of the bounding black out | |||
| line.shapes(layer2_index).insert(pya.Box(-1 * image_size_half, image_dist, image_size_half, 0 - image_dist)) | |||
| line.shapes(layer2_index).insert(pya.Box(-1 * image_size_half, -1 * (frame_width - image_dist), image_size_half, -1 * (frame_width + image_dist))) | |||
| line.shapes(layer2_index).insert(pya.Box(-1 * image_size_half, 0, image_size_half, image_dist)) | |||
| line.shapes(layer2_index).insert(pya.Box(-1 * image_size_half, frame_width + (1 * image_dist), image_size_half, frame_width - image_dist)) | |||
| linear_grating_vernier.insert(pya.CellInstArray(line.cell_index(), pya.Trans(0, 0))) | |||
| line = layout.create_cell("Line") | |||
| line.shapes(layer1_index).insert(pya.Box(image_size_half - image_dist, -1 * frame_width, image_size_half - (2 * image_dist), 0)) | |||
| line.shapes(layer1_index).insert(pya.Box(-1 * (image_size_half - image_dist), -1 * frame_width, -1 * (image_size_half - (2 * image_dist)), 0)) | |||
| line.shapes(layer1_index).insert(pya.Box(image_size_half - image_dist, 0, image_size_half - (2 * image_dist), frame_width)) | |||
| line.shapes(layer1_index).insert(pya.Box(-1 * (image_size_half - image_dist), 0, -1 * (image_size_half - (2 * image_dist)), frame_width)) | |||
| linear_grating_vernier.insert(pya.CellInstArray(line.cell_index(), pya.Trans(0, 0))) | |||
| vernier_extent = image_size_half + object_border + frame_width + image_dist | |||
| top.insert(pya.CellInstArray(linear_grating_vernier.cell_index(), pya.Trans(3, False, vernier_extent, 0))) | |||
| top.insert(pya.CellInstArray(linear_grating_vernier.cell_index(), pya.Trans(1, False, -1 * vernier_extent, 0))) | |||
| top.insert(pya.CellInstArray(linear_grating_vernier.cell_index(), pya.Trans(0, False, 0, vernier_extent))) | |||
| top.insert(pya.CellInstArray(linear_grating_vernier.cell_index(), pya.Trans(2, False, 0, -1 * vernier_extent))) | |||
| vernier_extent = vernier_extent + frame_width + image_dist | |||
| # linear grating unison for rotational alignment | |||
| linear_grating_uni = layout.create_cell("Linear_Grating_Uni") | |||
| pitch = 2000 | |||
| line_width = 1000 | |||
| frame_width = 300000 / 2 | |||
| line_length = image_size_half - 500000 | |||
| i = -1 * frame_width | |||
| while (i) < (frame_width): | |||
| line = layout.create_cell("Line") | |||
| line.shapes(layer1_index).insert(pya.Box(0, -1 * line_length, line_width, line_length)) | |||
| linear_grating_uni.insert(pya.CellInstArray(line.cell_index(), pya.Trans(i, 0))) | |||
| i = i + pitch | |||
| i = -1 * frame_width | |||
| shift = line_width | |||
| while (i) < (frame_width): | |||
| line = layout.create_cell("Line") | |||
| line.shapes(layer2_index).insert(pya.Box(0, -1 * line_length, line_width, line_length)) | |||
| linear_grating_uni.insert(pya.CellInstArray(line.cell_index(), pya.Trans(i + shift, 0))) | |||
| i = i + pitch | |||
| unison_rot_extent = vernier_extent + object_border + frame_width + image_dist | |||
| top.insert(pya.CellInstArray(linear_grating_uni.cell_index(), pya.Trans(2, False, unison_rot_extent, 0))) | |||
| top.insert(pya.CellInstArray(linear_grating_uni.cell_index(), pya.Trans(0, False, -1 * unison_rot_extent, 0))) | |||
| unison_rot_extent = unison_rot_extent + frame_width + image_dist | |||
| # 9 * 9 grid with larger squares | |||
| circ_grating_square_array_2 = layout.create_cell("Circ_Grating_Square_Array_2") | |||
| square_dist = 400000 | |||
| pitch = 10 | |||
| width = 5 | |||
| square_size = (square_dist / 2) - 20000 | |||
| [circ_grating_square_array_clip, circ_grating_square_array_inv_clip] = gen_circ_grating(pitch, width, square_size, "Circ_Grating_2") | |||
| for r in range(-1, 2): | |||
| for c in range(-1, 2): | |||
| circ_grating_square_array_2.insert(pya.CellInstArray(circ_grating_square_array_clip, pya.Trans(0, False, square_dist * r, square_dist * c))) | |||
| circ_grating_square_array_2.insert(pya.CellInstArray(circ_grating_square_array_inv_clip, pya.Trans(0, False, square_dist * r + (r * image_dist), square_dist * c + (c * image_dist)))) | |||
| grid_extent = unison_rot_extent + square_size + square_dist + image_dist | |||
| y_offset = square_dist + image_dist + (square_size) | |||
| top.insert(pya.CellInstArray(circ_grating_square_array_2.cell_index(), pya.Trans(2, False, grid_extent, 0))) | |||
| top.insert(pya.CellInstArray(circ_grating_square_array_2.cell_index(), pya.Trans(0, False, -1 * grid_extent, 0))) | |||
| # verniers md course | |||
| linear_grating_vernier_md_course = layout.create_cell("Vernier_md_course") | |||
| square_size = 650000 | |||
| fray = 0 | |||
| line_length = square_size / 2 + fray | |||
| velocity_ratio = 2 | |||
| pitch1 = ((square_size * 1) * (image_dist / velocity_ratio)) / ((square_size * 1) - (image_dist / velocity_ratio)) | |||
| pitch2 = image_dist / velocity_ratio | |||
| opening = 8000 | |||
| for i in range(-1 * int(square_size / 2 / pitch1) - 0, int(square_size / 2 / pitch1) + 0): | |||
| line = layout.create_cell("Line") | |||
| line.shapes(layer2_index).insert(pya.Box(opening / 2, -1 * line_length, pitch1 - opening / 2, line_length)) | |||
| linear_grating_vernier_md_course.insert(pya.CellInstArray(line.cell_index(), pya.Trans(i * pitch1, 0))) | |||
| linear_grating_vernier_md_course.insert(pya.CellInstArray(line.cell_index(), pya.Trans(1, False, 0, (i * pitch1)))) | |||
| for i in range(-1 * int(square_size / 2 / pitch2) - 0, int(square_size / 2 / pitch2) + 0): | |||
| line = layout.create_cell("Line") | |||
| line.shapes(layer1_index).insert(pya.Box(opening / 2, -1 * line_length, pitch2 - opening / 2, line_length)) | |||
| linear_grating_vernier_md_course.insert(pya.CellInstArray(line.cell_index(), pya.Trans(i * pitch2, 0))) | |||
| linear_grating_vernier_md_course.insert(pya.CellInstArray(line.cell_index(), pya.Trans(1, False, 0, (i * pitch2)))) | |||
| line = layout.create_cell("Line") | |||
| line.shapes(layer2_index).insert(pya.Box(-1 * (square_size / 2 + (1 * image_dist)), square_size / 2 - image_dist, square_size / 2 + (1 * image_dist), square_size / 2 + (1 * image_dist))) | |||
| linear_grating_vernier_md_course.insert(pya.CellInstArray(line.cell_index(), pya.Trans(0, 0))) | |||
| line = layout.create_cell("Line") | |||
| line.shapes(layer2_index).insert(pya.Box(-1 * (square_size / 2 + (1 * image_dist)), square_size / 2 - image_dist, square_size / 2 + (0 * image_dist), square_size / 2 + (1 * image_dist))) | |||
| #linear_grating_vernier_md_course.insert(pya.CellInstArray(line.cell_index(), pya.Trans(0, 0))) | |||
| linear_grating_vernier_md_course.insert(pya.CellInstArray(line.cell_index(), pya.Trans(1, False, 0, 0))) | |||
| linear_grating_vernier_md_course.insert(pya.CellInstArray(line.cell_index(), pya.Trans(2, False, 0, 0))) | |||
| linear_grating_vernier_md_course.insert(pya.CellInstArray(line.cell_index(), pya.Trans(1, True, 0, 0))) | |||
| line = layout.create_cell("Line") | |||
| line.shapes(layer1_index).insert(pya.Box(-1 * (square_size / 2 + (1 * image_dist)), square_size / 2, square_size / 2 + (1 * image_dist), square_size / 2 + (0 * image_dist))) | |||
| linear_grating_vernier_md_course.insert(pya.CellInstArray(line.cell_index(), pya.Trans(0, 0))) | |||
| linear_grating_vernier_md_course.insert(pya.CellInstArray(line.cell_index(), pya.Trans(1, False, 0, 0))) | |||
| linear_grating_vernier_md_course.insert(pya.CellInstArray(line.cell_index(), pya.Trans(2, False, 0, 0))) | |||
| linear_grating_vernier_md_course.insert(pya.CellInstArray(line.cell_index(), pya.Trans(3, False, 0, 0))) | |||
| triangle = layout.create_cell("Triangle") | |||
| triangle.shapes(layer2_index).insert(pya.Polygon([pya.Point(-45000, -1 * image_dist), pya.Point(45000, -1 * image_dist), pya.Point(0, 0)])) | |||
| linear_grating_vernier_md_course.insert(pya.CellInstArray(triangle.cell_index(), pya.Trans(0, False, 0, -1 * (square_size / 2 + (image_dist * 1))))) | |||
| linear_grating_vernier_md_course.insert(pya.CellInstArray(triangle.cell_index(), pya.Trans(1, False, (square_size / 2 + (image_dist * 1)), 0))) | |||
| grid_extent = unison_rot_extent + (square_size / 2) + (image_dist * 1) | |||
| y_offset = y_offset + (square_size / 2) + (image_dist * 3) | |||
| top.insert(pya.CellInstArray(linear_grating_vernier_md_course.cell_index(), pya.Trans(0, False, (grid_extent + fray), (y_offset + fray)))) | |||
| top.insert(pya.CellInstArray(linear_grating_vernier_md_course.cell_index(), pya.Trans(0, True, (grid_extent + fray), -1 * (y_offset + fray)))) | |||
| top.insert(pya.CellInstArray(linear_grating_vernier_md_course.cell_index(), pya.Trans(2, False, -1 * (grid_extent + fray), -1 * (y_offset + fray)))) | |||
| top.insert(pya.CellInstArray(linear_grating_vernier_md_course.cell_index(), pya.Trans(2, True, -1 * (grid_extent + fray), (y_offset + fray)))) | |||
| # verniers md fine | |||
| linear_grating_vernier_md_fine = layout.create_cell("Vernier_md_fine") | |||
| square_size = 650000 | |||
| fray = 0 | |||
| line_length = square_size / 2 + fray | |||
| velocity_ratio = 3 | |||
| pitch1 = ((square_size * -1) * (image_dist / velocity_ratio)) / ((square_size * -1) - (image_dist / velocity_ratio)) | |||
| pitch2 = image_dist / velocity_ratio | |||
| opening = 8000 * 2/3 | |||
| for i in range(-1 * int(square_size / 2 / pitch1) - 0, int(square_size / 2 / pitch1) + 0): | |||
| line = layout.create_cell("Line") | |||
| line.shapes(layer2_index).insert(pya.Box(opening / 2, -1 * line_length, pitch1 - opening / 2, line_length)) | |||
| linear_grating_vernier_md_fine.insert(pya.CellInstArray(line.cell_index(), pya.Trans(i * pitch1, 0))) | |||
| linear_grating_vernier_md_fine.insert(pya.CellInstArray(line.cell_index(), pya.Trans(1, False, 0, (i * pitch1)))) | |||
| for i in range(-1 * int(square_size / 2 / pitch1) - 0, int(square_size / 2 / pitch1) + 0): | |||
| line = layout.create_cell("Line") | |||
| line.shapes(layer1_index).insert(pya.Box(opening / 2, -1 * line_length, pitch2 - opening / 2, line_length)) | |||
| linear_grating_vernier_md_fine.insert(pya.CellInstArray(line.cell_index(), pya.Trans(i * pitch2, 0))) | |||
| linear_grating_vernier_md_fine.insert(pya.CellInstArray(line.cell_index(), pya.Trans(1, False, 0, (i * pitch2)))) | |||
| line = layout.create_cell("Line") | |||
| line.shapes(layer2_index).insert(pya.Box(-1 * (square_size / 2 + (1 * image_dist)), square_size / 2 - image_dist, square_size / 2 + (1 * image_dist), square_size / 2 + (1 * image_dist))) | |||
| linear_grating_vernier_md_fine.insert(pya.CellInstArray(line.cell_index(), pya.Trans(0, 0))) | |||
| line = layout.create_cell("Line") | |||
| line.shapes(layer2_index).insert(pya.Box(-1 * (square_size / 2 + (1 * image_dist)), square_size / 2 - image_dist, square_size / 2 + (0 * image_dist), square_size / 2 + (1 * image_dist))) | |||
| #linear_grating_vernier_md_fine.insert(pya.CellInstArray(line.cell_index(), pya.Trans(0, 0))) | |||
| linear_grating_vernier_md_fine.insert(pya.CellInstArray(line.cell_index(), pya.Trans(1, False, 0, 0))) | |||
| linear_grating_vernier_md_fine.insert(pya.CellInstArray(line.cell_index(), pya.Trans(2, False, 0, 0))) | |||
| linear_grating_vernier_md_fine.insert(pya.CellInstArray(line.cell_index(), pya.Trans(1, True, 0, 0))) | |||
| line = layout.create_cell("Line") | |||
| line.shapes(layer1_index).insert(pya.Box(-1 * (square_size / 2 + (1 * image_dist)), square_size / 2, square_size / 2 + (1 * image_dist), square_size / 2 + (0 * image_dist))) | |||
| linear_grating_vernier_md_fine.insert(pya.CellInstArray(line.cell_index(), pya.Trans(0, 0))) | |||
| linear_grating_vernier_md_fine.insert(pya.CellInstArray(line.cell_index(), pya.Trans(1, False, 0, 0))) | |||
| linear_grating_vernier_md_fine.insert(pya.CellInstArray(line.cell_index(), pya.Trans(2, False, 0, 0))) | |||
| linear_grating_vernier_md_fine.insert(pya.CellInstArray(line.cell_index(), pya.Trans(3, False, 0, 0))) | |||
| triangle = layout.create_cell("Triangle") | |||
| triangle.shapes(layer2_index).insert(pya.Polygon([pya.Point(-45000, -1 * image_dist), pya.Point(45000, -1 * image_dist), pya.Point(0, 0)])) | |||
| linear_grating_vernier_md_fine.insert(pya.CellInstArray(triangle.cell_index(), pya.Trans(0, False, 0, -1 * (square_size / 2 + (image_dist * 1))))) | |||
| linear_grating_vernier_md_fine.insert(pya.CellInstArray(triangle.cell_index(), pya.Trans(1, False, (square_size / 2 + (image_dist * 1)), 0))) | |||
| grid_extent = unison_rot_extent + (square_size / 2) + (image_dist * 1) | |||
| y_offset = y_offset + square_size + (image_dist * 1) | |||
| top.insert(pya.CellInstArray(linear_grating_vernier_md_course.cell_index(), pya.Trans(0, True, (grid_extent + fray), (y_offset + fray)))) | |||
| top.insert(pya.CellInstArray(linear_grating_vernier_md_course.cell_index(), pya.Trans(0, False, (grid_extent + fray), -1 * (y_offset + fray)))) | |||
| top.insert(pya.CellInstArray(linear_grating_vernier_md_course.cell_index(), pya.Trans(2, True, -1 * (grid_extent + fray), -1 * (y_offset + fray)))) | |||
| top.insert(pya.CellInstArray(linear_grating_vernier_md_course.cell_index(), pya.Trans(2, False, -1 * (grid_extent + fray), (y_offset + fray)))) | |||
| y_offset = y_offset + (square_size / 2) + (image_dist * 3) | |||
| # larger squares only in the unison position | |||
| circ_grating_uni = layout.create_cell("Circ_Grating_Uni") | |||
| pitch = 20 | |||
| width = 10 | |||
| square_size = 530000 / 2 | |||
| [circ_grating_uni_clip, circ_grating_uni_inv_clip] = gen_circ_grating(pitch, width, square_size, "Circ_Grating_3") | |||
| circ_grating_uni.insert(pya.CellInstArray(circ_grating_uni_clip, pya.Trans(0, False, 0, 0))) | |||
| circ_grating_uni.insert(pya.CellInstArray(circ_grating_uni_inv_clip, pya.Trans(0, False, 0, 0))) | |||
| grid_extent = unison_rot_extent + square_size + image_dist | |||
| y_offset = y_offset + (square_size / 1) | |||
| top.insert(pya.CellInstArray(circ_grating_uni.cell_index(), pya.Trans(0, False, grid_extent, -1 * y_offset))) | |||
| top.insert(pya.CellInstArray(circ_grating_uni.cell_index(), pya.Trans(0, False, -1 * grid_extent, -1 * y_offset))) | |||
| top.insert(pya.CellInstArray(circ_grating_uni.cell_index(), pya.Trans(0, False, grid_extent, y_offset))) | |||
| top.insert(pya.CellInstArray(circ_grating_uni.cell_index(), pya.Trans(0, False, -1 * grid_extent, y_offset))) | |||
| #top.insert(pya.CellInstArray(linear_grating_encoder_clip, pya.Trans(0, False, image_size_half, image_size_half))) | |||
| # linear grating encoder for optional optosensor | |||
| def gen_encoder_grating(alg_layout, cell): | |||
| frame_width = 300000 | |||
| linear_grating_encoder_1 = alg_layout.create_cell("Linear_Grating_Encoder_1") | |||
| linear_grating_encoder_2 = alg_layout.create_cell("Linear_Grating_Encoder_2") | |||
| pitch = 1000 | |||
| line_width = 500 | |||
| square_width = (frame_width * 2) + (image_dist * 2) | |||
| square_width = 2000000 | |||
| line_length = square_width | |||
| i = -1 * square_width | |||
| while (i) < (square_width): | |||
| line = alg_layout.create_cell("Line") | |||
| line.shapes(layer1_index).insert(pya.Box(line_width, 0, -1 * square_width, line_width)) | |||
| line.shapes(layer1_index).insert(pya.Box(0, 0, line_width, -1 * square_width)) | |||
| linear_grating_encoder_1.insert(pya.CellInstArray(line.cell_index(), pya.Trans(0, False, i, i))) | |||
| line = alg_layout.create_cell("Line") | |||
| line.shapes(layer2_index).insert(pya.Box(line_width, 0, -1 * square_width, line_width)) | |||
| line.shapes(layer2_index).insert(pya.Box(0, 0, line_width, -1 * square_width)) | |||
| linear_grating_encoder_2.insert(pya.CellInstArray(line.cell_index(), pya.Trans(0, False, i, i))) | |||
| i = i + pitch | |||
| i = -1 * square_width | |||
| shift = line_width | |||
| while (i) < (frame_width + image_dist): | |||
| line = alg_layout.create_cell("Line") | |||
| line.shapes(layer2_index).insert(pya.Box(line_width, 0, -1 * square_width, line_width)) | |||
| line.shapes(layer2_index).insert(pya.Box(0, 0, line_width, -1 * square_width)) | |||
| linear_grating_encoder_1.insert(pya.CellInstArray(line.cell_index(), pya.Trans(0, False, i + shift, i + shift))) | |||
| line = alg_layout.create_cell("Line") | |||
| line.shapes(layer1_index).insert(pya.Box(line_width, 0, -1 * square_width, line_width)) | |||
| line.shapes(layer1_index).insert(pya.Box(0, 0, line_width, -1 * square_width)) | |||
| linear_grating_encoder_2.insert(pya.CellInstArray(line.cell_index(), pya.Trans(0, False, i + shift, i + shift))) | |||
| i = i + pitch | |||
| inner_clip_2 = alg_layout.clip(linear_grating_encoder_2.cell_index(), pya.Box(0, 0, frame_width + image_dist, frame_width + image_dist)) | |||
| linear_grating_encoder_clip_2 = alg_layout.clip(linear_grating_encoder_2.cell_index(), pya.Box(0, 0, square_width, square_width)) | |||
| cell.insert(pya.CellInstArray(linear_grating_encoder_clip_2, pya.Trans(0, False, image_size_half, image_size_half))) | |||
| cell.insert(pya.CellInstArray(inner_clip_2, pya.Trans(0, False, image_size_half + frame_width + image_dist, image_size_half + frame_width + image_dist))) | |||
| cell.insert(pya.CellInstArray(linear_grating_encoder_clip_2, pya.Trans(1, False, -1 * image_size_half, image_size_half))) | |||
| cell.insert(pya.CellInstArray(inner_clip_2, pya.Trans(1, False, -1 * (image_size_half + frame_width + image_dist), image_size_half + frame_width + image_dist))) | |||
| inner_clip_1 = alg_layout.clip(linear_grating_encoder_1.cell_index(), pya.Box(0, 0, frame_width + image_dist, frame_width + image_dist)) | |||
| linear_grating_encoder_clip_1 = alg_layout.clip(linear_grating_encoder_1.cell_index(), pya.Box(0, 0, square_width, square_width)) | |||
| cell.insert(pya.CellInstArray(linear_grating_encoder_clip_1, pya.Trans(2, False, -1 * image_size_half, -1 * image_size_half))) | |||
| cell.insert(pya.CellInstArray(inner_clip_1, pya.Trans(2, False, -1 * (image_size_half + frame_width + image_dist), -1 * (image_size_half + frame_width + image_dist)))) | |||
| cell.insert(pya.CellInstArray(linear_grating_encoder_clip_1, pya.Trans(3, False, image_size_half, -1 * image_size_half))) | |||
| cell.insert(pya.CellInstArray(inner_clip_1, pya.Trans(3, False, image_size_half + frame_width + image_dist, -1 * (image_size_half + frame_width + image_dist)))) | |||
| cell.flatten(1) | |||
| alg_layout.prune_cell(linear_grating_encoder_1.cell_index(), -1) | |||
| alg_layout.prune_cell(linear_grating_encoder_2.cell_index(), -1) | |||
| top.flatten(1) | |||
| wafer1_region1 = pya.Region(top.begin_shapes_rec(layer1_index)) | |||
| wafer1_region2 = pya.Region(top.begin_shapes_rec(layer3_index)) | |||
| wafer2_region1 = pya.Region(top.begin_shapes_rec(layer2_index)) | |||
| wafer2_region2 = pya.Region(top.begin_shapes_rec(layer4_index)) | |||
| alignment_layout = pya.Layout() | |||
| alignment = alignment_layout.create_cell("Alignment") | |||
| alignment_layout.dbu = 0.01 | |||
| layer1_index = alignment_layout.insert_layer(pya.LayerInfo.new(1, 0)) | |||
| layer2_index = alignment_layout.insert_layer(pya.LayerInfo.new(2, 0)) | |||
| encode_region = pya.Region() | |||
| square_width = 2000000 | |||
| encode_region.insert(pya.Box(image_size_half, image_size_half, image_size_half + square_width, image_size_half + square_width)) #encoder | |||
| encode_region.insert(pya.Box(image_size_half, -1 * image_size_half, image_size_half + square_width, -1 * (image_size_half + square_width))) #encoder | |||
| encode_region.insert(pya.Box(-1 * image_size_half, image_size_half, -1 * (image_size_half + square_width), image_size_half + square_width)) #encoder | |||
| encode_region.insert(pya.Box(-1 * image_size_half, -1 * image_size_half, -1 * (image_size_half + square_width), -1 * (image_size_half + square_width))) #encoder | |||
| alignment.shapes(layer1_index).insert((wafer1_region1 & wafer1_region2) - encode_region) | |||
| alignment.shapes(layer2_index).insert((wafer2_region1 & wafer2_region2) - encode_region) | |||
| gen_encoder_grating(alignment_layout, alignment) | |||
| #alignment_layout.transform(pya.Trans(2, False, 0, 0)) | |||
| alignment_layout.write(os.path.join(base_dir, "..", "gds", "alignment_marks_overlapped.gds")) | |||
| alignment_inv_layout = pya.Layout() | |||
| alignment_inv = alignment_inv_layout.create_cell("Alignment_Inverse") | |||
| alignment_inv_layout.dbu = 0.01 | |||
| layer1_index = alignment_inv_layout.insert_layer(pya.LayerInfo.new(1, 0)) | |||
| layer2_index = alignment_inv_layout.insert_layer(pya.LayerInfo.new(2, 0)) | |||
| alignment_inv.shapes(layer1_index).insert(wafer1_region2 - wafer1_region1) | |||
| alignment_inv.shapes(layer2_index).insert(wafer2_region2 - wafer2_region1) | |||
| gen_encoder_grating(alignment_inv_layout, alignment_inv) | |||
| #alignment_inv_layout.transform(pya.Trans(2, False, 0, 0)) | |||
| alignment_inv_layout.write(os.path.join(base_dir, "..", "gds", "inverted_tonality", "alignment_marks_overlapped_inverse.gds")) | |||
+ 147
- 0
klayout/import_image.py
View File
| @@ -0,0 +1,147 @@ | |||
| import pya | |||
| import os | |||
| from PIL import Image | |||
| base_dir = os.path.dirname(os.path.abspath(__file__)) | |||
| #for some reason pya is not getting the size so using PIL | |||
| im = Image.open(os.path.join(base_dir, "..", "visualizations", "11735", "shadow_img_0_final.png")) | |||
| #width, height = [100, 100] | |||
| width, height = im.size | |||
| im.close() | |||
| # create layout | |||
| layout = pya.Layout() | |||
| layout.dbu = 0.01 | |||
| image = layout.create_cell("Image") | |||
| layer1_index = layout.insert_layer(pya.LayerInfo.new(1, 0)) | |||
| layer2_index = layout.insert_layer(pya.LayerInfo.new(2, 0)) | |||
| image1 = pya.Image(os.path.join(base_dir, "..", "visualizations", "11735", "shadow_img_0_final.png")) | |||
| # The dimension of one pixel | |||
| pixelSize = 2000 | |||
| # image distance in pixels minus the 2 pixel offset | |||
| shift_mult = 5 | |||
| image_dist = (shift_mult * 3 * 2) | |||
| image1_region = pya.Region() | |||
| image2_region = pya.Region() | |||
| image1_region_bb = pya.Region() | |||
| image2_region_bb = pya.Region() | |||
| final_region = pya.Region() | |||
| # Iterate over all rows in image1 | |||
| for y in range(height): | |||
| # Iterate over all columns in image1 | |||
| for x in range(width): | |||
| # Use each channel for a different layer | |||
| # d > 0.5 selects all pixels with a level > 50% in that channel | |||
| d = image1.get_pixel(x, y, 0) | |||
| if d < 0.5: | |||
| # Create a polygon corresponding to one pixel | |||
| p1 = pya.DPoint((x * pixelSize) - (0.5 * width * pixelSize), (y * pixelSize) - (0.5 * width * pixelSize)) | |||
| p2 = pya.DPoint(((x + 1) * pixelSize) - (0.5 * width * pixelSize), ((y + 1) * pixelSize) - (0.5 * width * pixelSize)) | |||
| dbox = pya.DBox(p1, p2) | |||
| box = pya.Box.from_dbox(dbox) | |||
| poly = pya.Polygon(box) | |||
| image1_region.insert(poly) | |||
| image1._destroy() | |||
| image2 = pya.Image(os.path.join(base_dir, "..", "visualizations", "11735", "shadow_img_1_final.png")) | |||
| # Iterate over all rows in image2 | |||
| for y in range(image_dist, height - image_dist): | |||
| # Iterate over all columns in image2 | |||
| for x in range(image_dist, width - image_dist): | |||
| # Use each channel for a different layer | |||
| # d > 0.5 selects all pixels with a level > 50% in that channel | |||
| d = image2.get_pixel(x, y, 0) | |||
| if d < 0.5: | |||
| # Create a polygon corresponding to one pixel | |||
| p1 = pya.DPoint((x * pixelSize) - (0.5 * width * pixelSize), (y * pixelSize) - (0.5 * width * pixelSize)) | |||
| p2 = pya.DPoint(((x + 1) * pixelSize) - (0.5 * width * pixelSize), ((y + 1) * pixelSize) - (0.5 * width * pixelSize)) | |||
| dbox = pya.DBox(p1, p2) | |||
| box = pya.Box.from_dbox(dbox) | |||
| poly = pya.Polygon(box) | |||
| image2_region.insert(poly) | |||
| print("pixel import finished") | |||
| image2._destroy() | |||
| image1_bb = pya.Box(-0.5 * width * pixelSize, -0.5 * height * pixelSize, 0.5 * width * pixelSize, 0.5 * width * pixelSize) | |||
| image2_bb = pya.Box(((-0.5 * width) + image_dist) * pixelSize, ((-0.5 * height) + image_dist) * pixelSize, ((0.5 * width) - image_dist) * pixelSize, ((0.5 * height) - image_dist) * pixelSize) | |||
| image1_region_bb.insert(image1_bb) | |||
| image2_region_bb.insert(image2_bb) | |||
| #if you resize image1, you must sent merged_semantics to True!!!! | |||
| #image1_region.merged_semantics = False | |||
| #image2_region.merged_semantics = False | |||
| #image1_region_inverse.merged_semantics = False | |||
| #image2_region_inverse.merged_semantics = False | |||
| #image1_region_bb.merged_semantics = False | |||
| #image2_region_bb.merged_semantics = False | |||
| #final_region.merged_semantics = False | |||
| #image1_region.strict_handling = True | |||
| #image2_region.strict_handling = True | |||
| #image1_region_inverse.strict_handling = True | |||
| #image2_region_inverse.strict_handling = True | |||
| #image2_region.strict_handling = True | |||
| #image1_region_bb.strict_handling = True | |||
| #image2_region_bb.strict_handling = True | |||
| #final_region.strict_handling = True | |||
| #image1_region.size(25) #opting not to resize image1 | |||
| image2_region.size(150) | |||
| print("resize finished") | |||
| image_layout = pya.Layout() | |||
| image = image_layout.create_cell("Image") | |||
| image_layout.dbu = 0.01 | |||
| layer1_image_index = image_layout.insert_layer(pya.LayerInfo.new(1, 0)) | |||
| layer2_image_index = image_layout.insert_layer(pya.LayerInfo.new(2, 0)) | |||
| print("finalizing layout for image_overlapped.gds") | |||
| #normal | |||
| image.shapes(layer1_index).insert(image1_region) | |||
| image_layout.clip(image.cell_index(), image1_bb) | |||
| processor = pya.ShapeProcessor() | |||
| processor.merge(image_layout, image, layer1_image_index, image.shapes(layer1_image_index), False, 0, False, True) | |||
| print("layer1 finished") | |||
| image.shapes(layer2_image_index).insert(image2_region_bb & image2_region) | |||
| print("layer2 finished") | |||
| print("layout for image_overlapped.gds finished") | |||
| image_layout.write(os.path.join(base_dir, "..", "gds", "image_overlapped.gds")) | |||
| print("image_overlapped.gds written") | |||
| image_inv_layout = pya.Layout() | |||
| image_inv = image_inv_layout.create_cell("Image_Inverse") | |||
| image_inv_layout.dbu = 0.01 | |||
| layer1_image_inv_index = image_inv_layout.insert_layer(pya.LayerInfo.new(1, 0)) | |||
| layer2_image_inv_index = image_inv_layout.insert_layer(pya.LayerInfo.new(2, 0)) | |||
| print("finalizing layout for image_overlapped_inverse.gds") | |||
| #inverted | |||
| #image_inv.shapes(layer1_index).insert(pya.Box(-7500000, -6850000, 7500000, 6850000 - 1850000)) #printable area wafer 1 | |||
| #image_inv.shapes(layer2_index).insert(pya.Box(-7500000, 6850000, 7500000, -1 * (6850000 - 1850000))) #printable area wafer 2 | |||
| #the printable areas are rotated for the overlay with the alignment marks | |||
| image_inv.shapes(layer1_index).insert(pya.Box(-7500000, -6850000, 7500000, 6850000 - 1850000).transformed(pya.Trans(1, False, 0, 0))) #printable area wafer 1 | |||
| image_inv.shapes(layer2_index).insert(pya.Box(-7500000, 6850000, 7500000, -1 * (6850000 - 1850000)).transformed(pya.Trans(1, False, 0, 0))) #printable area wafer 2 | |||
| processor = pya.ShapeProcessor() | |||
| processor.boolean(image_layout, image, layer1_image_index, image_inv_layout, image_inv, layer1_image_inv_index, image_inv.shapes(layer1_image_inv_index), 3, False, False, True) | |||
| print("layer1 finished") | |||
| processor = pya.ShapeProcessor() | |||
| processor.boolean(image_layout, image, layer2_image_index, image_inv_layout, image_inv, layer2_image_inv_index, image_inv.shapes(layer2_image_inv_index), 3, False, False, True) | |||
| print("layer2 finished") | |||
| print("layout for image_overlapped_inverse.gds finished") | |||
| image_inv_layout.write(os.path.join(base_dir, "..", "gds", "inverted_tonality", "image_overlapped_inverse.gds")) | |||
| print("image_overlapped_inverse.gds written") | |||
+ 156
- 0
klayout/md_vernier_sandbox.py
View File
| @@ -0,0 +1,156 @@ | |||
| import pya | |||
| import os | |||
| base_dir = os.path.dirname(os.path.abspath(__file__)) | |||
| # init vars | |||
| velocity_ratio1 = 2 | |||
| opening1 = 8000 | |||
| velocity_ratio2 = 3 | |||
| opening2 = opening1 * velocity_ratio1 / velocity_ratio2 | |||
| pixel_size = 20 | |||
| shift_mult = 5 | |||
| image_size = 4266 * pixel_size * 100 #calculate this directly (4266 and 4242 for shift_mult 5 and 3, respectively) | |||
| image_size_half = image_size / 2 | |||
| image_dist = (shift_mult * 3 * 2 + 2) * pixel_size * 100 | |||
| object_border = 0 | |||
| #print(image_dist) | |||
| # create layout | |||
| layout = pya.Layout() | |||
| layout.dbu = 0.01 | |||
| top = layout.create_cell("Top") | |||
| layer1_index = layout.insert_layer(pya.LayerInfo.new(1, 0)) | |||
| layer2_index = layout.insert_layer(pya.LayerInfo.new(2, 0)) | |||
| layer3_index = layout.insert_layer(pya.LayerInfo.new(3, 0)) | |||
| layer4_index = layout.insert_layer(pya.LayerInfo.new(4, 0)) | |||
| layer5_index = layout.insert_layer(pya.LayerInfo.new(5, 0)) | |||
| y_offset = 0 | |||
| # verniers md course | |||
| linear_grating_vernier_md_course = layout.create_cell("Vernier_md_course") | |||
| square_size = 650000 | |||
| fray = 0 | |||
| line_length = square_size / 2 + fray | |||
| pitch11 = ((square_size * 1) * (image_dist / velocity_ratio1)) / ((square_size * 1) - (image_dist / velocity_ratio1)) | |||
| pitch12 = image_dist / velocity_ratio1 | |||
| for i in range(-1 * int(square_size / 2 / pitch11) - 0, int(square_size / 2 / pitch11) + 0): | |||
| line = layout.create_cell("Line") | |||
| line.shapes(layer2_index).insert(pya.Box(opening1 / 2, -1 * line_length, pitch11 - opening1 / 2, line_length)) | |||
| linear_grating_vernier_md_course.insert(pya.CellInstArray(line.cell_index(), pya.Trans(i * pitch11, 0))) | |||
| linear_grating_vernier_md_course.insert(pya.CellInstArray(line.cell_index(), pya.Trans(1, False, 0, (i * pitch11)))) | |||
| for i in range(-1 * int(square_size / 2 / pitch12) - 0, int(square_size / 2 / pitch12) + 0): | |||
| line = layout.create_cell("Line") | |||
| line.shapes(layer1_index).insert(pya.Box(opening1 / 2, -1 * line_length, pitch12 - opening1 / 2, line_length)) | |||
| linear_grating_vernier_md_course.insert(pya.CellInstArray(line.cell_index(), pya.Trans(i * pitch12, 0))) | |||
| linear_grating_vernier_md_course.insert(pya.CellInstArray(line.cell_index(), pya.Trans(1, False, 0, (i * pitch12)))) | |||
| line = layout.create_cell("Line") | |||
| line.shapes(layer2_index).insert(pya.Box(-1 * (square_size / 2 + (1 * image_dist)), square_size / 2 - image_dist, square_size / 2 + (1 * image_dist), square_size / 2 + (1 * image_dist))) | |||
| linear_grating_vernier_md_course.insert(pya.CellInstArray(line.cell_index(), pya.Trans(0, 0))) | |||
| line = layout.create_cell("Line") | |||
| line.shapes(layer2_index).insert(pya.Box(-1 * (square_size / 2 + (1 * image_dist)), square_size / 2 - image_dist, square_size / 2 + (0 * image_dist), square_size / 2 + (1 * image_dist))) | |||
| #linear_grating_vernier_md_course.insert(pya.CellInstArray(line.cell_index(), pya.Trans(0, 0))) | |||
| linear_grating_vernier_md_course.insert(pya.CellInstArray(line.cell_index(), pya.Trans(1, False, 0, 0))) | |||
| linear_grating_vernier_md_course.insert(pya.CellInstArray(line.cell_index(), pya.Trans(2, False, 0, 0))) | |||
| linear_grating_vernier_md_course.insert(pya.CellInstArray(line.cell_index(), pya.Trans(1, True, 0, 0))) | |||
| line = layout.create_cell("Line") | |||
| line.shapes(layer1_index).insert(pya.Box(-1 * (square_size / 2 + (1 * image_dist)), square_size / 2, square_size / 2 + (1 * image_dist), square_size / 2 + (0 * image_dist))) | |||
| linear_grating_vernier_md_course.insert(pya.CellInstArray(line.cell_index(), pya.Trans(0, 0))) | |||
| linear_grating_vernier_md_course.insert(pya.CellInstArray(line.cell_index(), pya.Trans(1, False, 0, 0))) | |||
| linear_grating_vernier_md_course.insert(pya.CellInstArray(line.cell_index(), pya.Trans(2, False, 0, 0))) | |||
| linear_grating_vernier_md_course.insert(pya.CellInstArray(line.cell_index(), pya.Trans(3, False, 0, 0))) | |||
| triangle = layout.create_cell("Triangle") | |||
| triangle.shapes(layer2_index).insert(pya.Polygon([pya.Point(-45000, -1 * image_dist), pya.Point(45000, -1 * image_dist), pya.Point(0, 0)])) | |||
| linear_grating_vernier_md_course.insert(pya.CellInstArray(triangle.cell_index(), pya.Trans(0, False, 0, -1 * (square_size / 2 + (image_dist * 1))))) | |||
| linear_grating_vernier_md_course.insert(pya.CellInstArray(triangle.cell_index(), pya.Trans(1, False, (square_size / 2 + (image_dist * 1)), 0))) | |||
| y_offset = y_offset + (square_size / 2) + (image_dist * 3) | |||
| grid_extent = 0 | |||
| top.insert(pya.CellInstArray(linear_grating_vernier_md_course.cell_index(), pya.Trans(0, False, (grid_extent + fray), (y_offset + fray)))) | |||
| # verniers md fine | |||
| linear_grating_vernier_md_fine = layout.create_cell("Vernier_md_fine") | |||
| square_size = 650000 | |||
| fray = 0 | |||
| line_length = square_size / 2 + fray | |||
| pitch21 = ((square_size * -1) * (image_dist / velocity_ratio2)) / ((square_size * -1) - (image_dist / velocity_ratio2)) | |||
| pitch22 = image_dist / velocity_ratio2 | |||
| for i in range(-1 * int(square_size / 2 / pitch21) - 0, int(square_size / 2 / pitch21) + 0): | |||
| line = layout.create_cell("Line") | |||
| line.shapes(layer2_index).insert(pya.Box(opening2 / 2, -1 * line_length, pitch21 - opening2 / 2, line_length)) | |||
| linear_grating_vernier_md_fine.insert(pya.CellInstArray(line.cell_index(), pya.Trans(i * pitch21, 0))) | |||
| linear_grating_vernier_md_fine.insert(pya.CellInstArray(line.cell_index(), pya.Trans(1, False, 0, (i * pitch21)))) | |||
| for i in range(-1 * int(square_size / 2 / pitch22) - 0, int(square_size / 2 / pitch22) + 0): | |||
| line = layout.create_cell("Line") | |||
| line.shapes(layer1_index).insert(pya.Box(opening2 / 2, -1 * line_length, pitch22 - opening2 / 2, line_length)) | |||
| linear_grating_vernier_md_fine.insert(pya.CellInstArray(line.cell_index(), pya.Trans(i * pitch22, 0))) | |||
| linear_grating_vernier_md_fine.insert(pya.CellInstArray(line.cell_index(), pya.Trans(1, False, 0, (i * pitch22)))) | |||
| line = layout.create_cell("Line") | |||
| line.shapes(layer2_index).insert(pya.Box(-1 * (square_size / 2 + (1 * image_dist)), square_size / 2 - image_dist, square_size / 2 + (1 * image_dist), square_size / 2 + (1 * image_dist))) | |||
| linear_grating_vernier_md_fine.insert(pya.CellInstArray(line.cell_index(), pya.Trans(0, 0))) | |||
| line = layout.create_cell("Line") | |||
| line.shapes(layer2_index).insert(pya.Box(-1 * (square_size / 2 + (1 * image_dist)), square_size / 2 - image_dist, square_size / 2 + (0 * image_dist), square_size / 2 + (1 * image_dist))) | |||
| #linear_grating_vernier_md_fine.insert(pya.CellInstArray(line.cell_index(), pya.Trans(0, 0))) | |||
| linear_grating_vernier_md_fine.insert(pya.CellInstArray(line.cell_index(), pya.Trans(1, False, 0, 0))) | |||
| linear_grating_vernier_md_fine.insert(pya.CellInstArray(line.cell_index(), pya.Trans(2, False, 0, 0))) | |||
| linear_grating_vernier_md_fine.insert(pya.CellInstArray(line.cell_index(), pya.Trans(1, True, 0, 0))) | |||
| line = layout.create_cell("Line") | |||
| line.shapes(layer1_index).insert(pya.Box(-1 * (square_size / 2 + (1 * image_dist)), square_size / 2, square_size / 2 + (1 * image_dist), square_size / 2 + (0 * image_dist))) | |||
| linear_grating_vernier_md_fine.insert(pya.CellInstArray(line.cell_index(), pya.Trans(0, 0))) | |||
| linear_grating_vernier_md_fine.insert(pya.CellInstArray(line.cell_index(), pya.Trans(1, False, 0, 0))) | |||
| linear_grating_vernier_md_fine.insert(pya.CellInstArray(line.cell_index(), pya.Trans(2, False, 0, 0))) | |||
| linear_grating_vernier_md_fine.insert(pya.CellInstArray(line.cell_index(), pya.Trans(3, False, 0, 0))) | |||
| triangle = layout.create_cell("Triangle") | |||
| triangle.shapes(layer2_index).insert(pya.Polygon([pya.Point(-45000, -1 * image_dist), pya.Point(45000, -1 * image_dist), pya.Point(0, 0)])) | |||
| linear_grating_vernier_md_fine.insert(pya.CellInstArray(triangle.cell_index(), pya.Trans(0, False, 0, -1 * (square_size / 2 + (image_dist * 1))))) | |||
| linear_grating_vernier_md_fine.insert(pya.CellInstArray(triangle.cell_index(), pya.Trans(1, False, (square_size / 2 + (image_dist * 1)), 0))) | |||
| y_offset = y_offset + square_size + (image_dist * 1) | |||
| grid_extent = 0 | |||
| top.insert(pya.CellInstArray(linear_grating_vernier_md_fine.cell_index(), pya.Trans(0, True, (grid_extent + fray), (y_offset + fray)))) | |||
| top.flatten(1) | |||
| top.write(os.path.join(base_dir, "..", "gds", "md_vernier_test.gds")) | |||
| bb_region = pya.Region(pya.Box(-650000, -300000, 650000, 2000000)) | |||
| wafer1 = pya.Region(top.begin_shapes_rec(layer1_index)) | |||
| wafer2 = pya.Region(top.begin_shapes_rec(layer2_index)) | |||
| alignment_inv_layout = pya.Layout() | |||
| alignment_inv = alignment_inv_layout.create_cell("Alignment_Inverse") | |||
| alignment_inv_layout.dbu = 0.01 | |||
| layer1_index = alignment_inv_layout.insert_layer(pya.LayerInfo.new(1, 0)) | |||
| layer2_index = alignment_inv_layout.insert_layer(pya.LayerInfo.new(2, 0)) | |||
| alignment_inv.shapes(layer1_index).insert(bb_region - wafer1) | |||
| alignment_inv.shapes(layer2_index).insert(bb_region - wafer2) | |||
| alignment_inv_layout.write(os.path.join(base_dir, "..", "gds", "inverted_tonality", "md_vernier_test_inverse.gds")) | |||
+ 43
- 0
klayout/separate_wafers.py
View File
| @@ -0,0 +1,43 @@ | |||
| import pya | |||
| import os | |||
| base_dir = os.path.dirname(os.path.abspath(__file__)) | |||
| layout = pya.Layout() | |||
| layout.read(os.path.join(base_dir, "..", "gds", "image_with_alignment_marks_overlapped.gds")) | |||
| layout.delete_layer(1) | |||
| layout.top_cell().shapes(0).insert(pya.Box(-9000000, 6850000 - 1850000 + 30000, 9000000, 6850000 - 1850000 + 30000 + 5000)) | |||
| #layout.transform(pya.Trans(2, False, 0, 0)) | |||
| layout.write(os.path.join(base_dir, "..", "gds", "wafer_1.gds")) | |||
| layout = pya.Layout() | |||
| layout.read(os.path.join(base_dir, "..", "gds", "image_with_alignment_marks_overlapped.gds")) | |||
| layout.delete_layer(0) | |||
| #layout.transform(pya.Trans(2, True, 0, 0)) | |||
| layout.transform(pya.Trans(0, True, 0, 0)) | |||
| layout.top_cell().shapes(1).insert(pya.Box(-9000000, 6850000 - 1850000 + 30000, 9000000, 6850000 - 1850000 + 30000 + 5000)) | |||
| layout.write(os.path.join(base_dir, "..", "gds", "wafer_2.gds")) | |||
| layout = pya.Layout() | |||
| layout.read(os.path.join(base_dir, "..", "gds", "inverted_tonality", "image_with_alignment_marks_overlapped_inverse.gds")) | |||
| layout.delete_layer(1) | |||
| #layout.transform(pya.Trans(2, False, 0, 0)) | |||
| layout.write(os.path.join(base_dir, "..", "gds", "inverted_tonality", "wafer_1_inverse.gds")) | |||
| layout = pya.Layout() | |||
| layout.read(os.path.join(base_dir, "..", "gds", "inverted_tonality", "image_with_alignment_marks_overlapped_inverse.gds")) | |||
| layout.delete_layer(0) | |||
| #layout.transform(pya.Trans(2, True, 0, 0)) | |||
| layout.transform(pya.Trans(0, True, 0, 0)) | |||
| layout.write(os.path.join(base_dir, "..", "gds", "inverted_tonality", "wafer_2_inverse.gds")) | |||
+ 30
- 0
klayout/shift_tester.py
View File
| @@ -0,0 +1,30 @@ | |||
| import pya | |||
| #amount to shift in units of distance between images | |||
| shift_x = 0 | |||
| shift_y = 0 | |||
| #vars on current sizes | |||
| shift_mult = 5 | |||
| pixel_size = 20 | |||
| image_dist = (shift_mult * 3 * 2 + 2) * pixel_size * 100 | |||
| print(image_dist) | |||
| #shift and take the overlap returning a 3rd layer | |||
| ly = pya.CellView.active().layout() | |||
| l10 = ly.layer(1, 0) | |||
| l20 = ly.layer(2, 0) | |||
| bbox = pya.Region() | |||
| bbox.insert(ly.top_cell().bbox()) | |||
| #r10 = bbox - pya.Region(ly.top_cell().begin_shapes_rec(l10)) | |||
| #r20 = bbox - pya.Region(ly.top_cell().begin_shapes_rec(l20)) | |||
| r10 = pya.Region(ly.top_cell().begin_shapes_rec(l10)) | |||
| r20 = pya.Region(ly.top_cell().begin_shapes_rec(l20)) | |||
| r10.move(image_dist * shift_x, image_dist* shift_y) | |||
| ly.delete_layer(ly.layer(3, 0)) | |||
| ly.top_cell().shapes(ly.layer(3, 0)).insert(bbox - (r10 | r20)) | |||
| pya.LayoutView.current().add_missing_layers() | |||
+ 22
- 0
klayout/shift_tester_inverted.py
View File
| @@ -0,0 +1,22 @@ | |||
| import pya | |||
| #amount to shift in units of distance between images | |||
| shift_x = -1 | |||
| shift_y = -1 | |||
| #vars on current sizes | |||
| shift_mult = 5 | |||
| pixel_size = 20 | |||
| image_dist = (shift_mult * 3 * 2 + 2) * pixel_size * 100 | |||
| print(image_dist) | |||
| #shift and take the overlap returning a 3rd layer | |||
| ly = pya.CellView.active().layout() | |||
| l10 = ly.layer(1, 0) | |||
| l20 = ly.layer(2, 0) | |||
| r10 = pya.Region(ly.top_cell().begin_shapes_rec(l10)) | |||
| r20 = pya.Region(ly.top_cell().begin_shapes_rec(l20)) | |||
| r10.move(image_dist * shift_x, image_dist* shift_y) | |||
| ly.delete_layer(ly.layer(3, 0)) | |||
| ly.top_cell().shapes(ly.layer(3, 0)).insert(r10 & r20) | |||
| pya.LayoutView.current().add_missing_layers() | |||
+ 116
- 0
klayout/ud_vernier_sandbox.py
View File
| @@ -0,0 +1,116 @@ | |||
| import pya | |||
| import os | |||
| base_dir = os.path.dirname(os.path.abspath(__file__)) | |||
| # init vars | |||
| velocity_ratio1 = 1 | |||
| opening1 = 4000 | |||
| velocity_ratio2 = 5 | |||
| opening2 = opening1 * velocity_ratio1 / velocity_ratio2 | |||
| pixel_size = 20 | |||
| shift_mult = 5 | |||
| image_size = 4266 * pixel_size * 100 #calculate this directly (4266 and 4242 for shift_mult 5 and 3, respectively) | |||
| image_size_half = image_size / 2 | |||
| image_dist = (shift_mult * 3 * 2 + 2) * pixel_size * 100 | |||
| object_border = 0 | |||
| #print(image_dist) | |||
| # create layout | |||
| layout = pya.Layout() | |||
| layout.dbu = 0.01 | |||
| top = layout.create_cell("Top") | |||
| layer1_index = layout.insert_layer(pya.LayerInfo.new(1, 0)) | |||
| layer2_index = layout.insert_layer(pya.LayerInfo.new(2, 0)) | |||
| layer3_index = layout.insert_layer(pya.LayerInfo.new(3, 0)) | |||
| layer4_index = layout.insert_layer(pya.LayerInfo.new(4, 0)) | |||
| layer5_index = layout.insert_layer(pya.LayerInfo.new(5, 0)) | |||
| # verniers | |||
| linear_grating_vernier = layout.create_cell("Vernier") | |||
| base_period = image_size_half - 500000 | |||
| revealing_period = image_dist | |||
| pitch11 = (base_period * (revealing_period / velocity_ratio1)) / (base_period - (revealing_period / velocity_ratio1)) | |||
| pitch12 = revealing_period / velocity_ratio1 | |||
| #print(pitch11) | |||
| #print(pitch12) | |||
| frame_width = 300000 | |||
| for i in range(-1 * int((image_size_half) / pitch11), int((image_size_half) / pitch11)): | |||
| line = layout.create_cell("Line") | |||
| line.shapes(layer2_index).insert(pya.Box(opening1 / 2, -1 * frame_width, pitch11 - opening1 / 2, 0)) | |||
| linear_grating_vernier.insert(pya.CellInstArray(line.cell_index(), pya.Trans(i * pitch11, 0))) | |||
| for i in range(-1 * int((image_size_half - image_dist) / pitch12), int((image_size_half - image_dist) / pitch12)): | |||
| line = layout.create_cell("Line") | |||
| line.shapes(layer1_index).insert(pya.Box(opening1 / 2, -1 * frame_width, pitch12 - opening1 / 2, 0)) | |||
| linear_grating_vernier.insert(pya.CellInstArray(line.cell_index(), pya.Trans(i * pitch12, 0))) | |||
| base_period = -1 * (image_size_half - 500000) | |||
| revealing_period = image_dist | |||
| pitch21 = (base_period * (revealing_period / velocity_ratio2)) / (base_period - (revealing_period / velocity_ratio2)) | |||
| pitch22 = revealing_period / velocity_ratio2 | |||
| for i in range(-1 * int(image_size_half / pitch21), int(image_size_half / pitch21)): | |||
| line = layout.create_cell("Line") | |||
| line.shapes(layer2_index).insert(pya.Box(opening2 / 2, 0, pitch21 - opening2 / 2, frame_width)) | |||
| linear_grating_vernier.insert(pya.CellInstArray(line.cell_index(), pya.Trans(i * pitch21, 0))) | |||
| for i in range(-1 * int((image_size_half - image_dist) / pitch22), int((image_size_half - image_dist) / pitch22)): | |||
| line = layout.create_cell("Line") | |||
| line.shapes(layer1_index).insert(pya.Box(opening2 / 2, 0, pitch22 - opening2 / 2, frame_width)) | |||
| linear_grating_vernier.insert(pya.CellInstArray(line.cell_index(), pya.Trans(i * pitch22, 0))) | |||
| line = layout.create_cell("Line") | |||
| line.shapes(layer2_index).insert(pya.Box(image_size_half - (2 * image_dist), -1 * frame_width, image_size_half, 0)) | |||
| line.shapes(layer2_index).insert(pya.Box(-1 * (image_size_half - (2 * image_dist)), -1 * frame_width, -1 * (image_size_half), 0)) | |||
| line.shapes(layer2_index).insert(pya.Box(image_size_half - (2 * image_dist), image_dist, image_size_half, image_dist + frame_width)) | |||
| line.shapes(layer2_index).insert(pya.Box(-1 * (image_size_half - (2 * image_dist)), image_dist, -1 * (image_size_half), image_dist + frame_width)) | |||
| #These four lines can be taken away to get rid of the bounding black out | |||
| line.shapes(layer2_index).insert(pya.Box(-1 * image_size_half, image_dist, image_size_half, 0 - image_dist)) | |||
| line.shapes(layer2_index).insert(pya.Box(-1 * image_size_half, -1 * (frame_width - image_dist), image_size_half, -1 * (frame_width + image_dist))) | |||
| line.shapes(layer2_index).insert(pya.Box(-1 * image_size_half, 0, image_size_half, image_dist)) | |||
| line.shapes(layer2_index).insert(pya.Box(-1 * image_size_half, frame_width + (2 * image_dist), image_size_half, frame_width - image_dist)) | |||
| linear_grating_vernier.insert(pya.CellInstArray(line.cell_index(), pya.Trans(0, 0))) | |||
| line = layout.create_cell("Line") | |||
| line.shapes(layer1_index).insert(pya.Box(image_size_half - image_dist, -1 * frame_width, image_size_half - (2 * image_dist), 0)) | |||
| line.shapes(layer1_index).insert(pya.Box(-1 * (image_size_half - image_dist), -1 * frame_width, -1 * (image_size_half - (2 * image_dist)), 0)) | |||
| line.shapes(layer1_index).insert(pya.Box(image_size_half - image_dist, 0, image_size_half - (2 * image_dist), frame_width)) | |||
| line.shapes(layer1_index).insert(pya.Box(-1 * (image_size_half - image_dist), 0, -1 * (image_size_half - (2 * image_dist)), frame_width)) | |||
| linear_grating_vernier.insert(pya.CellInstArray(line.cell_index(), pya.Trans(0, 0))) | |||
| top.insert(pya.CellInstArray(linear_grating_vernier.cell_index(), pya.Trans(0,0 ))) | |||
| top.flatten(1) | |||
| top.write(os.path.join(base_dir, "..", "gds", "ud_vernier_test.gds")) | |||
| bb_region = pya.Region(pya.Box(-5000000, -1 * (frame_width + image_dist), 5000000, frame_width + (2 * image_dist))) | |||
| wafer1 = pya.Region(top.begin_shapes_rec(layer1_index)) | |||
| wafer2 = pya.Region(top.begin_shapes_rec(layer2_index)) | |||
| alignment_inv_layout = pya.Layout() | |||
| alignment_inv = alignment_inv_layout.create_cell("Alignment_Inverse") | |||
| alignment_inv_layout.dbu = 0.01 | |||
| layer1_index = alignment_inv_layout.insert_layer(pya.LayerInfo.new(1, 0)) | |||
| layer2_index = alignment_inv_layout.insert_layer(pya.LayerInfo.new(2, 0)) | |||
| alignment_inv.shapes(layer1_index).insert(bb_region - wafer1) | |||
| alignment_inv.shapes(layer2_index).insert(bb_region - wafer2) | |||
| alignment_inv_layout.write(os.path.join(base_dir, "..", "gds", "inverted_tonality", "ud_vernier_test_inverse.gds")) | |||
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| \header { | |||
| tagline = "" | |||
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| line-width = 20\cm | |||
| \context { | |||
| \Staff | |||
| \remove "Time_signature_engraver" | |||
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| \accidentalStyle dodecaphonic | |||
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| s4 | |||
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| s4 | |||
| gis4^\markup{ \center-align{-12}} | |||
| } | |||
| >> | |||
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| @@ -0,0 +1,2 @@ | |||
| \relax | |||
| \catcode 95\active | |||
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