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\u001b[36mgdsfactory.technology.layer_views\u001b[0m:\u001b[36m__init__\u001b[0m:\u001b[36m790\u001b[0m - \u001b[1mImporting LayerViews from YAML file: '/home/parkeraa/miniconda3/envs/mp/lib/python3.11/site-packages/ubcpdk/layers.yaml'.\u001b[0m\n", - "\u001b[32m2024-01-26 11:16:11.376\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36mubcpdk\u001b[0m:\u001b[36m\u001b[0m:\u001b[36m30\u001b[0m - \u001b[1mFound UBCpdk '2.3.4' installed at PosixPath('/home/parkeraa/miniconda3/envs/mp/lib/python3.11/site-packages/ubcpdk')\u001b[0m\n", - "\u001b[32m2024-01-26 11:16:11.456\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36mgdsfactory.technology.layer_views\u001b[0m:\u001b[36m__init__\u001b[0m:\u001b[36m790\u001b[0m - \u001b[1mImporting LayerViews from YAML file: '/home/parkeraa/miniconda3/envs/mp/lib/python3.11/site-packages/gdsfactory/generic_tech/layer_views.yaml'.\u001b[0m\n", - "\u001b[32m2024-01-26 11:16:11.461\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36mgdsfactory.pdk\u001b[0m:\u001b[36mactivate\u001b[0m:\u001b[36m307\u001b[0m - \u001b[1m'ubcpdk' PDK is now active\u001b[0m\n" + "\u001b[32m2024-01-26 12:58:37.353\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36mgdsfactory.technology.layer_views\u001b[0m:\u001b[36m__init__\u001b[0m:\u001b[36m790\u001b[0m - \u001b[1mImporting LayerViews from YAML file: '/home/parkeraa/miniconda3/envs/mp/lib/python3.11/site-packages/ubcpdk/layers.yaml'.\u001b[0m\n", + "\u001b[32m2024-01-26 12:58:38.389\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36mubcpdk\u001b[0m:\u001b[36m\u001b[0m:\u001b[36m30\u001b[0m - \u001b[1mFound UBCpdk '2.3.4' installed at PosixPath('/home/parkeraa/miniconda3/envs/mp/lib/python3.11/site-packages/ubcpdk')\u001b[0m\n", + "\u001b[32m2024-01-26 12:58:38.462\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36mgdsfactory.technology.layer_views\u001b[0m:\u001b[36m__init__\u001b[0m:\u001b[36m790\u001b[0m - \u001b[1mImporting LayerViews from YAML file: '/home/parkeraa/miniconda3/envs/mp/lib/python3.11/site-packages/gdsfactory/generic_tech/layer_views.yaml'.\u001b[0m\n", + "\u001b[32m2024-01-26 12:58:38.468\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36mgdsfactory.pdk\u001b[0m:\u001b[36mactivate\u001b[0m:\u001b[36m307\u001b[0m - \u001b[1m'ubcpdk' PDK is now active\u001b[0m\n" ] } ], @@ -134,7 +134,7 @@ }, { "cell_type": "code", - "execution_count": 42, + "execution_count": 2, "metadata": {}, "outputs": [ { @@ -168,7 +168,7 @@ }, { "cell_type": "code", - "execution_count": 43, + "execution_count": 3, "metadata": {}, "outputs": [ { @@ -180,7 +180,7 @@ }, { "data": { - "image/png": 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", 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", "text/plain": [ "
" ] @@ -191,6 +191,7 @@ ], "source": [ "from ubcpdk.config import CONFIG\n", + "from functools import partial\n", "\n", "CONFIG.username='MyName'\n", "print(CONFIG.username)\n", @@ -207,14 +208,14 @@ }, { "cell_type": "code", - "execution_count": 44, + "execution_count": 4, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ - "\u001b[32m2024-01-26 12:38:46.077\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36mgdsfactory.component\u001b[0m:\u001b[36m_write_library\u001b[0m:\u001b[36m1913\u001b[0m - \u001b[1mWrote to 'mzi.gds'\u001b[0m\n" + "\u001b[32m2024-01-26 12:59:01.346\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36mgdsfactory.component\u001b[0m:\u001b[36m_write_library\u001b[0m:\u001b[36m1913\u001b[0m - \u001b[1mWrote to 'mzi.gds'\u001b[0m\n" ] }, { @@ -223,7 +224,7 @@ "PosixPath('mzi.gds')" ] }, - "execution_count": 44, + "execution_count": 4, "metadata": {}, "output_type": "execute_result" } diff --git a/pages/directional_couplers.html b/pages/directional_couplers.html index 334497d..ac9660d 100644 --- a/pages/directional_couplers.html +++ b/pages/directional_couplers.html @@ -565,8 +565,8 @@

Coupling length and the gap between waveguides\(\Delta n\) gets larger, making the cross-over length shorter.

This cross-over length \(L\), that gives 100% power transfer is found with:

-
-(2)#\[\begin{align} +
+(2)#\[\begin{align} L_{\text{cross-over}} = \frac {\lambda}{2\Delta n} \nonumber \end{align}\]

This is found from determining what length when multiplied by the propagation constants makes the phase difference \(\pi\):

diff --git a/pages/mzi_layout.html b/pages/mzi_layout.html index 25b30c9..e9a066f 100644 --- a/pages/mzi_layout.html +++ b/pages/mzi_layout.html @@ -324,10 +324,10 @@

Laying out a Mach-Zehnder Interferometer -
2024-01-26 11:16:10.112 | INFO     | gdsfactory.technology.layer_views:__init__:790 - Importing LayerViews from YAML file: '/home/parkeraa/miniconda3/envs/mp/lib/python3.11/site-packages/ubcpdk/layers.yaml'.
-2024-01-26 11:16:11.376 | INFO     | ubcpdk:<module>:30 - Found UBCpdk '2.3.4' installed at PosixPath('/home/parkeraa/miniconda3/envs/mp/lib/python3.11/site-packages/ubcpdk')
-2024-01-26 11:16:11.456 | INFO     | gdsfactory.technology.layer_views:__init__:790 - Importing LayerViews from YAML file: '/home/parkeraa/miniconda3/envs/mp/lib/python3.11/site-packages/gdsfactory/generic_tech/layer_views.yaml'.
-2024-01-26 11:16:11.461 | INFO     | gdsfactory.pdk:activate:307 - 'ubcpdk' PDK is now active
+
2024-01-26 12:58:37.353 | INFO     | gdsfactory.technology.layer_views:__init__:790 - Importing LayerViews from YAML file: '/home/parkeraa/miniconda3/envs/mp/lib/python3.11/site-packages/ubcpdk/layers.yaml'.
+2024-01-26 12:58:38.389 | INFO     | ubcpdk:<module>:30 - Found UBCpdk '2.3.4' installed at PosixPath('/home/parkeraa/miniconda3/envs/mp/lib/python3.11/site-packages/ubcpdk')
+2024-01-26 12:58:38.462 | INFO     | gdsfactory.technology.layer_views:__init__:790 - Importing LayerViews from YAML file: '/home/parkeraa/miniconda3/envs/mp/lib/python3.11/site-packages/gdsfactory/generic_tech/layer_views.yaml'.
+2024-01-26 12:58:38.468 | INFO     | gdsfactory.pdk:activate:307 - 'ubcpdk' PDK is now active
@@ -388,6 +388,7 @@

Laying out a Mach-Zehnder Interferometer 
from ubcpdk.config import CONFIG
+from functools import partial
 
 CONFIG.username='MyName'
 print(CONFIG.username)
@@ -400,7 +401,7 @@ 
Laying out a Mach-Zehnder Interferometer
MyName
-../_images/7245f55df573520437030781097976737891a72b8d6dd1d5fa63a47ef1945e6e.png +../_images/a977c11e12e70a7fe7b42347dac130f7f06037964f1fb326fee271a34df7c86b.png

We can export our design using the write_gds function.

@@ -411,7 +412,7 @@

Laying out a Mach-Zehnder Interferometer -
2024-01-26 12:38:46.077 | INFO     | gdsfactory.component:_write_library:1913 - Wrote to 'mzi.gds'
+
2024-01-26 12:59:01.346 | INFO     | gdsfactory.component:_write_library:1913 - Wrote to 'mzi.gds'
 

 

 
PosixPath('mzi.gds')
diff --git a/searchindex.js b/searchindex.js
index 54492fe..f68e25d 100644
--- a/searchindex.js
+++ b/searchindex.js
@@ -1 +1 @@
-Search.setIndex({"docnames": ["index", "pages/adjoint_optimization", "pages/advanced_components", "pages/analyzing_circuits", "pages/compact_models", "pages/component_convenience", "pages/components", "pages/credits", "pages/directional_couplers", "pages/drc", "pages/edge_couplers", "pages/gds_to_meep", "pages/git_and_github", "pages/glossary", "pages/grating_couplers", "pages/introduction", "pages/klayout", "pages/laboratory_tools", "pages/layer_stack", "pages/meep_to_gds", "pages/mmis", "pages/mzi", "pages/mzi_layout", "pages/open_source", "pages/optical_io", "pages/optimization", "pages/passive_components", "pages/pdks", "pages/phase_shifters", "pages/phase_shifters_heaters", "pages/phase_shifters_pn", "pages/photonic_devices", "pages/python", "pages/ray_optic_model", "pages/ring_resonators", "pages/scattering_parameters", "pages/shape_optimization", "pages/software", "pages/vscode", "pages/waveguides", "pages/waveguides_mode_solvers", "pages/waveguides_modelling", "pages/waveguides_polarization", "pages/waveguides_tir", "pages/wsl", "pages/y_branch"], "filenames": ["index.md", "pages/adjoint_optimization.ipynb", "pages/advanced_components.ipynb", "pages/analyzing_circuits.ipynb", "pages/compact_models.ipynb", "pages/component_convenience.ipynb", "pages/components.ipynb", "pages/credits.md", "pages/directional_couplers.ipynb", "pages/drc.ipynb", "pages/edge_couplers.ipynb", "pages/gds_to_meep.ipynb", "pages/git_and_github.md", "pages/glossary.md", "pages/grating_couplers.ipynb", "pages/introduction.md", "pages/klayout.md", "pages/laboratory_tools.ipynb", "pages/layer_stack.ipynb", "pages/meep_to_gds.ipynb", "pages/mmis.ipynb", "pages/mzi.ipynb", "pages/mzi_layout.ipynb", "pages/open_source.md", "pages/optical_io.md", "pages/optimization.ipynb", "pages/passive_components.md", "pages/pdks.ipynb", "pages/phase_shifters.ipynb", "pages/phase_shifters_heaters.ipynb", "pages/phase_shifters_pn.ipynb", "pages/photonic_devices.ipynb", "pages/python.md", 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"pyplot": [3, 14, 21, 34, 35, 40, 43, 45], "plt": [3, 14, 21, 34, 35, 40, 43, 45], "poly_ord": 3, "4": [3, 6, 8, 20, 21, 22, 32, 34, 35, 40], "load": [3, 11, 16, 34], "file": [3, 8, 11, 12, 13, 14, 15, 16, 18, 19, 20, 22, 23, 31, 32, 34, 35, 37, 38, 44], "oscope_data": 3, "npz": 3, "power": [3, 8, 13, 16, 20, 21, 29, 31, 34, 35], "here": [3, 6, 8, 14, 16, 18, 23, 24, 26, 32, 34, 35, 37, 38, 41, 44, 45], "raw": 3, "oscilloscop": 3, "plot": [3, 6, 8, 11, 18, 21, 22, 32, 35, 40, 43, 45], "titl": 3, "xlabel": [3, 8], "nm": [3, 14, 18, 21], "ylabel": [3, 8], "dbm": 3, "show": [3, 6, 11, 18, 20, 21, 27, 34, 35, 40, 43, 45], "The": [3, 6, 8, 11, 13, 14, 15, 18, 19, 20, 22, 23, 26, 28, 29, 30, 32, 33, 34, 35, 37, 40, 41, 42, 43, 44, 45], "parabol": 3, "shape": [3, 13, 24, 31, 35, 40, 41, 45], "graph": [3, 34, 42], "due": [3, 21, 26, 33, 45], "respons": [3, 21, 45], "which": [3, 6, 8, 11, 12, 13, 14, 20, 21, 22, 23, 29, 30, 31, 32, 33, 34, 35, 37, 39, 40, 42, 43, 44, 45], "obfusc": 3, "try": [3, 22], "remov": [3, 8, 14, 20, 29, 30, 31, 32, 34], "effect": [3, 8, 14, 29, 30, 40], "parabola": 3, "subtract": [3, 6], "function": [3, 6, 8, 11, 14, 19, 20, 21, 22, 27, 32, 34, 35, 40, 41, 43], "want": [3, 6, 11, 12, 19, 20, 21, 22, 23, 32, 34, 35, 41, 44, 45], "case": [3, 8, 14, 16, 18, 21, 22, 28, 32, 43, 45], "def": [3, 6, 43, 45], "model_parabola": 3, "x": [3, 6, 8, 11, 20, 35, 40, 42, 43, 45], "b": [3, 6, 8, 43], "c": [3, 6, 8, 11, 21, 22, 32], "d": [3, 7, 15, 32, 35, 41, 42, 43, 44], "e": [3, 6, 8, 11, 12, 18, 21, 28, 31, 34, 35, 37, 40, 41, 45], "return": [3, 6, 11, 19, 21, 35, 40, 43, 45], "3": [3, 8, 11, 14, 15, 18, 19, 20, 21, 22, 23, 27, 32, 34, 39, 40, 43, 45], "2": [3, 6, 8, 11, 14, 15, 18, 19, 20, 21, 22, 27, 32, 33, 34, 40, 43, 45], "now": [3, 6, 21, 22, 24, 32, 33, 34, 35, 38, 40, 45], "just": [3, 6, 8, 11, 13, 14, 15, 17, 21, 22, 28, 32, 35, 40, 45], "need": [3, 6, 11, 12, 21, 22, 23, 32, 35, 37, 41, 42, 44, 45], "paramet": [3, 6, 8, 20, 21, 22, 31, 34], "do": [3, 6, 15, 18, 19, 22, 23, 35, 37, 38, 42], "curve_fit": 3, "scipi": [3, 12, 32], "take": [3, 6, 8, 11, 13, 19, 21, 22, 29, 31, 34, 35, 42, 43, 44], "y": [3, 6, 8, 11, 20, 21, 22, 26, 28, 35, 40, 42, 43], "an": [3, 6, 8, 9, 11, 12, 13, 14, 15, 17, 18, 20, 21, 22, 23, 29, 30, 31, 32, 33, 34, 40, 41, 42, 43, 45], "initi": [3, 6, 8, 21], "guess": 3, "It": [3, 6, 8, 11, 13, 14, 15, 16, 18, 19, 21, 23, 30, 32, 33, 34, 35, 38, 40, 41, 42, 44], "covari": 3, "matrix": [3, 21, 35], "start": [3, 6, 21, 32, 33, 34, 35, 44], "end": [3, 8, 13, 14, 21, 23, 32, 35, 41, 43, 45], "argmax": 3, "1560": 3, "1580": 3, "help": [3, 6, 9, 12, 13, 16, 18, 21, 22, 27, 30, 33], "term": [3, 8, 13, 21, 35], "speed": [3, 8, 29, 30, 31, 41], "accuraci": 3, "add": [3, 6, 8, 18, 19, 20, 22, 32, 35, 41, 43], "especi": [3, 11, 23, 29, 30, 32], "true": [3, 8, 11, 14, 18, 20, 21, 34, 35, 40, 41, 43, 45], "more": [3, 6, 8, 11, 15, 16, 17, 18, 20, 21, 23, 28, 30, 31, 32, 33, 34, 35, 38, 40, 41, 42, 45], "complic": [3, 6, 33, 34, 41, 45], "initial_guess": 3, "1": [3, 6, 8, 11, 14, 15, 18, 19, 20, 21, 23, 27, 32, 33, 34, 39, 40, 41, 43, 45], "optimal_paramet": 3, "covariance_matrix": 3, "label": [3, 11, 18, 21, 22, 43], "legend": [3, 43], "simpli": [3, 6, 14, 21, 32, 33, 34, 35], "offset": [3, 30], "make": [3, 6, 8, 13, 19, 20, 21, 22, 23, 24, 27, 30, 31, 32, 35, 38, 45], "easier": [3, 6, 38, 45], "see": [3, 8, 11, 13, 14, 18, 20, 21, 22, 23, 27, 28, 30, 34, 35, 40, 42, 45], "power_correct": 3, "max": [3, 35], "correct": [3, 11], "ones": [3, 6, 32], "len": [3, 40], "averag": [3, 14, 41], "gdsfactori": [6, 8, 11, 13, 15, 19, 20, 21, 22, 32, 34, 35, 40, 45], "them": [6, 8, 11, 15, 20, 21, 22, 23, 26, 30, 31, 32, 35, 37], "togeth": [6, 8, 12, 18, 31, 32, 33], "larger": [6, 8, 13, 15, 21, 31, 45], "design": [6, 13, 14, 15, 16, 18, 19, 20, 22, 23, 24, 26, 34, 35], "simpl": [6, 15, 18, 21, 22, 29, 31, 32, 39, 41, 43], "complex": [6, 30, 31, 32, 35], "construct": [6, 13, 14, 20, 21, 28, 31, 33, 34, 35, 45], "exampl": [6, 11, 12, 13, 15, 18, 19, 20, 21, 23, 26, 27, 28, 31, 32, 35, 40, 41], "contain": [6, 11, 13, 18, 19, 21, 31, 32, 33, 40], "other": [6, 11, 12, 13, 17, 18, 20, 21, 23, 28, 29, 30, 31, 32, 33, 34, 38, 40, 41, 42, 45], "thei": [6, 9, 11, 12, 13, 15, 18, 20, 21, 23, 31, 32, 33, 35, 41, 44, 45], "usual": [6, 9, 13, 15, 18, 31], "have": [6, 8, 11, 12, 13, 14, 15, 18, 20, 21, 23, 27, 28, 30, 31, 32, 33, 34, 35, 37, 38, 40, 41, 42, 44, 45], "allow": [6, 8, 11, 12, 13, 15, 16, 21, 23, 31, 35, 38], "you": [6, 8, 9, 11, 12, 13, 14, 15, 16, 18, 19, 20, 21, 22, 23, 27, 31, 32, 34, 35, 37, 38, 40, 43, 44, 45], "factori": [6, 27], "when": [6, 8, 11, 14, 16, 18, 21, 23, 28, 30, 31, 32, 34, 35, 40, 41, 42, 43, 45], "align": [6, 8], "each": [6, 8, 11, 13, 14, 16, 17, 18, 20, 21, 29, 31, 32, 34, 40, 41, 43, 45], "taken": [6, 18, 35], "care": [6, 35, 41, 42], "automat": [6, 16, 17, 18], "made": [6, 13, 23, 24, 39, 40, 41], "up": [6, 8, 11, 12, 13, 14, 18, 20, 21, 23, 29, 31, 32, 34, 35, 38, 41, 44, 45], "option": [6, 11, 15, 38], "most": [6, 8, 11, 12, 14, 16, 18, 19, 23, 29, 32, 33, 34, 35, 37, 39, 41, 42, 45], "basic": [6, 14, 16, 20, 21, 22, 32, 35, 43], "build": [6, 13, 21, 26, 31, 33, 34, 44], "object": [6, 8, 18, 19, 21, 33, 35, 40], "gf": [6, 11, 20, 21, 22, 45], "seri": [6, 15, 32], "conveni": [6, 21, 27], "visual": [6, 13, 14, 18, 19, 21, 33, 37, 40], "jupyt": [6, 15, 35, 38], "notebook": [6, 11, 15, 34], "For": [6, 11, 13, 17, 18, 20, 21, 22, 27, 28, 29, 30, 31, 32, 34, 35, 37, 41, 43], "plot_holoview": 6, "plot_jupyt": 6, "plot_klayout": 6, "plot_matplotlib": 6, "plot_netlist": 6, "plot_netlist_flat": 6, "plot_widget": 6, "some": [6, 8, 11, 13, 14, 16, 17, 18, 21, 23, 26, 28, 29, 30, 31, 32, 33, 34, 35, 37, 38, 40, 42, 45], "alias": 6, "default": [6, 21, 22, 35, 37, 38, 44, 45], "could": [6, 11, 13, 18, 20, 21, 33, 35, 42], "keyword": [6, 11, 21], "argument": [6, 11, 21, 22, 43], "below": [6, 8, 11, 14, 18, 19, 20, 21, 22, 23, 28, 33, 34, 35, 40, 42, 43], "format": [6, 8, 14, 15, 16, 17, 20, 21, 34, 35], "ll": [6, 12, 15, 21, 22, 23, 32, 34, 35, 37, 40, 41, 42, 44], "explicit": [6, 21, 23], "But": [6, 23, 35], "recommend": [6, 8, 12, 17, 32, 37, 38, 44], "displai": [6, 16, 34, 43], "interact": [6, 8, 14, 26, 32, 33, 35, 37, 41], "klayout": [6, 18, 22, 27, 31, 35, 37, 44], "widget": 6, "lowest": [6, 13], "block": [6, 8, 13, 14, 19, 21, 26, 31, 34, 35, 44, 45], "list": [6, 11, 13, 19, 21, 22, 31, 32, 35, 41], "vertic": [6, 19, 22, 31, 40, 43], "adjac": 6, "pair": [6, 18], "line": [6, 8, 12, 13, 14, 17, 20, 31, 32, 33, 34, 35, 40, 42, 43, 44], "doe": [6, 8, 21, 23, 33, 42], "cross": [6, 8, 14, 15, 16, 18, 40, 41], "ani": [6, 8, 11, 13, 14, 18, 22, 23, 27, 30, 32, 33, 35, 37, 38, 40, 43, 45], "within": [6, 11, 13, 16, 20, 21, 28, 29, 30, 31, 33, 34, 35, 40, 41], "although": [6, 13, 18, 31, 37], "overlap": [6, 8, 34], "parallel": [6, 8, 11, 40, 42], "lie": 6, "upon": [6, 33, 43], "point": [6, 13, 33, 40], "exist": [6, 8, 13, 18, 23, 31, 32, 35, 40], "geometri": [6, 8, 11, 13, 14, 18, 19, 20, 22, 33, 34, 40, 41, 45], "instead": [6, 11, 13, 14, 20, 21, 23, 30, 31, 32, 35, 41], "new": [6, 13, 15, 16, 18, 28, 31, 32, 44], "one": [6, 8, 11, 13, 14, 15, 18, 20, 21, 22, 23, 28, 29, 30, 31, 32, 34, 37, 40, 41, 42, 45], "That": [6, 23, 42], "parameter": [6, 21, 31, 41], "call": [6, 8, 18, 20, 21, 29, 30, 31, 32, 33, 34, 35, 40, 42, 43], "even": [6, 8, 31, 32, 41], "hierarch": [6, 13], "nest": 6, "save": [6, 8, 11, 13, 14, 19, 20, 32, 34], "memori": [6, 13, 31], "becaus": [6, 8, 12, 14, 18, 20, 21, 23, 29, 30, 31, 34, 35, 41, 42, 43, 45], "core": [6, 8, 11, 18, 33, 39, 40, 41, 43], "onli": [6, 11, 12, 13, 15, 17, 20, 21, 23, 26, 32, 33, 34, 35, 37, 41, 42, 45], "onc": [6, 16, 31, 32, 35, 42], "referenc": 6, "mani": [6, 8, 11, 12, 13, 15, 17, 21, 22, 23, 27, 29, 31, 32, 34, 41, 45], "time": [6, 8, 11, 12, 13, 14, 16, 20, 21, 23, 28, 29, 30, 31, 32, 33, 34, 35, 41, 43, 44, 45], "These": [6, 8, 11, 12, 13, 18, 21, 23, 31, 33, 35, 42, 43], "place": [6, 8, 13, 20, 29, 31, 37], "anywher": [6, 32], "independ": [6, 29], "all": [6, 8, 12, 13, 14, 15, 17, 18, 20, 21, 22, 23, 27, 31, 32, 33, 34, 35, 37, 38, 41, 42, 43, 45], "appli": [6, 16, 18, 30, 35], "base": [6, 8, 12, 17, 20, 23, 29, 30, 31, 32, 35, 43, 45], "instanc": [6, 11, 18, 21, 31, 32], "had": [6, 11, 21, 31], "same": [6, 8, 11, 14, 15, 17, 18, 20, 21, 23, 29, 30, 31, 32, 34, 45], "taper": [6, 14, 20, 33], "its": [6, 8, 11, 17, 18, 21, 22, 23, 29, 31, 32, 34, 35, 41, 42], "input": [6, 8, 13, 20, 21, 22, 31, 34, 35, 45], "output": [6, 8, 11, 13, 14, 20, 21, 31, 34, 35, 43, 45], "repeatedli": 6, "would": [6, 11, 13, 14, 18, 20, 21, 23, 31, 33, 35, 44], "good": [6, 21, 35], "requir": [6, 8, 18, 21, 23, 27, 29, 30, 31, 32], "higher": [6, 18, 28, 29, 30, 33, 34, 35, 40, 41, 45], "level": [6, 14, 21, 32], "By": [6, 11, 14, 21, 30], "draw": [6, 22], "bank": 6, "without": [6, 13, 21, 23, 27, 29, 30, 31, 32, 33], "much": [6, 8, 11, 21, 33, 34, 35, 38], "pattern": [6, 14, 18, 21, 31, 33], "where": [6, 8, 11, 14, 20, 21, 23, 29, 32, 34, 35, 42, 45], "across": [6, 13, 21], "compos": [6, 31], "interconnect": [6, 13], "compound": 6, "intermedi": 6, "specifi": [6, 8, 11, 13, 14, 19, 32, 35, 41], "direct": [6, 13, 14, 19, 20, 26, 31, 33, 34, 35, 40, 42, 43, 45], "face": [6, 13], "either": [6, 11, 13, 31, 42, 45], "also": [6, 8, 11, 12, 13, 14, 15, 16, 20, 21, 22, 23, 28, 30, 31, 32, 33, 34, 35, 37, 38, 39, 40, 42, 43, 44, 45], "width": [6, 8, 13, 14, 18, 19, 20, 21, 30, 31, 34, 40, 41], "attach": [6, 11, 13], "your": [6, 8, 9, 11, 12, 13, 14, 16, 18, 19, 21, 23, 27, 31, 32, 34, 35, 37, 38, 42, 44], "convei": 6, "inform": [6, 13, 15, 17, 18, 21, 23, 27, 28, 30, 31, 35, 38], "otherwis": [6, 21, 34], "seen": [6, 8, 11, 23, 34], "A": [6, 8, 13, 14, 18, 20, 21, 23, 27, 29, 30, 31, 32, 34, 37, 38, 39, 40, 41, 42, 45], "add_label": 6, "pass": [6, 11, 21, 28, 31, 32, 35], "text": [6, 8, 18, 21, 23, 27, 32, 34, 38], "locat": [6, 14, 19, 44], "should": [6, 8, 11, 15, 18, 21, 27, 35, 38, 45], "shown": [6, 8, 19, 34, 35], "posit": [6, 18, 21, 31, 34, 35, 40, 42], "center": [6, 8, 14, 19, 20, 21, 30, 34, 35, 45], "passiv": [6, 24], "sever": [6, 8, 11, 16, 28, 29, 30, 32, 38, 41], "than": [6, 8, 14, 18, 20, 23, 28, 30, 31, 33, 43, 45], "mai": [6, 8, 11, 12, 13, 18, 20, 21, 23, 28, 29, 30, 31, 35], "part": [6, 8, 9, 11, 21, 22, 23, 27, 35, 39, 40, 42, 45], "track": [6, 12, 32, 35], "number": [6, 8, 11, 13, 18, 20, 23, 32, 34, 35, 40], "As": [6, 8, 11, 14, 15, 18, 21, 23, 29, 30, 35, 42], "let": [6, 13, 21, 22, 28, 33, 34, 35, 40, 41, 42, 43], "tupl": [6, 18, 21], "coordin": 6, "circular": 6, "fashion": [6, 13], "repeat": 6, "last": [6, 22], "infer": 6, "close": [6, 8, 34], "script": [6, 8, 18, 20, 31, 32, 34, 44], "complet": [6, 8, 12, 13, 15, 18, 29, 34, 35, 37, 45], "run": [6, 8, 11, 12, 13, 14, 15, 16, 18, 20, 21, 22, 23, 27, 29, 32, 34, 40, 44, 45], "final": [6, 21, 22, 35], "t_length": 6, "10": [6, 8, 18, 19, 21, 22, 32, 34, 35, 40, 43, 45], "t_width_in": 6, "0": [6, 8, 11, 14, 18, 19, 20, 21, 22, 32, 33, 34, 35, 40, 42, 43, 45], "5": [6, 8, 11, 14, 19, 20, 21, 22, 34, 35, 40, 43, 45], "t_width_out": 6, "add_polygon": 6, "int": [6, 40], "assum": [6, 8, 14, 20, 21, 34, 37, 44, 45], "ve": [6, 15, 31, 32, 35], "provid": [6, 12, 21, 23, 32, 37, 38], "datatyp": [6, 18], "poli": 6, "45": [6, 8, 14, 18, 19, 20, 34, 45], "move": [6, 12, 34, 35, 44], "come": [6, 8, 11, 23, 30, 33, 35, 41, 45], "manipul": [6, 19, 31], "easili": [6, 11, 22, 32, 44, 45], "differ": [6, 8, 11, 13, 14, 15, 19, 20, 21, 22, 23, 24, 28, 31, 32, 34, 39, 40, 41, 42, 43, 44, 45], "combin": [6, 8, 13, 20, 21, 28, 34], "mean": [6, 8, 11, 21, 22, 23, 26, 31, 32, 34, 35, 42, 45], "merg": [6, 12], "xor": 6, "To": [6, 8, 11, 12, 14, 15, 20, 24, 29, 32, 34, 35, 38, 42, 44], "two": [6, 8, 11, 13, 18, 20, 21, 23, 28, 29, 30, 31, 33, 34, 39, 42, 43, 45], "group": [6, 18, 40], "piec": [6, 13], "involv": [6, 31], "itself": [6, 21, 23, 29, 32, 34, 35, 40, 41], "target": 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