From a8ac5d792cc8808a7b74646a83ce98ab2644bd42 Mon Sep 17 00:00:00 2001 From: Joaquin Matres <4514346+joamatab@users.noreply.github.com> Date: Sun, 13 Nov 2022 07:20:26 -0800 Subject: [PATCH 1/6] update to gdsfactory 6.0.1 --- CHANGELOG.md | 5 + requirements.txt | 2 +- ubcpdk/components.py | 6 +- .../gds_ref/SEM_example.gds | Bin 414 -> 0 bytes .../gds_ref/add_fiber_array.gds | Bin 116874 -> 119372 bytes .../gds_ref/add_fiber_array_1e7b25b3.gds | Bin 124756 -> 0 bytes ...4a2ad.gds => add_fiber_array_b89d850a.gds} | Bin 124756 -> 127164 bytes .../gds_ref/add_fiber_array_eab0e416.gds | Bin 124756 -> 0 bytes .../gds_ref/bend_euler.gds | Bin 11928 -> 12136 bytes .../gds_ref/bezier_3006a950_bend_s.gds | Bin 3666 -> 0 bytes .../gds_ref/bezier_7020f7b9_bend_s.gds | Bin 3794 -> 3648 bytes .../gds_ref/coupler_8fdbfb26.gds | Bin 7626 -> 0 bytes .../gds_ref/coupler_ring.gds | Bin 13550 -> 13394 bytes .../tests/test_components.gds/gds_ref/dbr.gds | Bin 604 -> 550 bytes .../gds_ref/dbr_cavity_6697eb2a.gds | Bin 7926 -> 0 bytes .../dbr_cavity_6697eb2a_add_eb00d35c.gds | Bin 124764 -> 0 bytes .../gds_ref/dbr_cavity_676862ae.gds | Bin 8626 -> 0 bytes .../dbr_cavity_676862ae_add_f6bd4e90.gds | Bin 125464 -> 0 bytes ...y_11e4c29a.gds => dbr_cavity_aa257b23.gds} | Bin 7926 -> 7836 bytes .../gds_ref/dbr_cavity_dde9ca01.gds | Bin 7926 -> 0 bytes .../gds_ref/ebeam_BondPad.gds | Bin 774 -> 986 bytes .../gds_ref/ebeam_adiabatic_te1550.gds | Bin 4980 -> 5444 bytes .../gds_ref/ebeam_adiabatic_tm1550.gds | Bin 4980 -> 5444 bytes .../gds_ref/ebeam_bdc_te1550.gds | Bin 7534 -> 8138 bytes .../gds_ref/ebeam_bdc_tm1550.gds | Bin 6652 -> 7302 bytes .../gds_ref/ebeam_crossing4.gds | Bin 1442 -> 1842 bytes .../ebeam_crossing4_ring_si_00a2738b.gds | Bin 16372 -> 16324 bytes .../gds_ref/ebeam_dc_halfring_straight.gds | Bin 13680 -> 13506 bytes .../gds_ref/ebeam_gc_te1310.gds | Bin 144154 -> 147816 bytes .../gds_ref/ebeam_gc_te1310_8deg.gds | Bin 1025470 -> 1064044 bytes .../gds_ref/ebeam_gc_te1310_broadband.gds | Bin 266916 -> 273810 bytes .../gds_ref/ebeam_gc_te1550.gds | Bin 102682 -> 105392 bytes .../gds_ref/ebeam_gc_te1550_90nmSlab.gds | Bin 29746 -> 29736 bytes .../gds_ref/ebeam_gc_te1550_broadband.gds | Bin 215516 -> 215562 bytes .../gds_ref/ebeam_gc_tm1550.gds | Bin 81386 -> 83480 bytes .../ebeam_splitter_adiabati_f8376e78.gds | Bin 43972 -> 44666 bytes .../ebeam_splitter_swg_assist_te1310.gds | Bin 36316 -> 36870 bytes .../ebeam_splitter_swg_assist_te1550.gds | Bin 36296 -> 36830 bytes .../gds_ref/ebeam_swg_edgecoupler.gds | Bin 24388 -> 24434 bytes .../gds_ref/ebeam_terminator_te1310.gds | Bin 622 -> 932 bytes .../gds_ref/ebeam_terminator_te1550.gds | Bin 622 -> 932 bytes .../gds_ref/ebeam_terminator_tm1550.gds | Bin 622 -> 932 bytes .../gds_ref/ebeam_y_1550.gds | Bin 11900 -> 12272 bytes .../gds_ref/ebeam_y_adiabatic.gds | Bin 15064 -> 15842 bytes .../gds_ref/ebeam_y_adiabatic_1310.gds | Bin 15206 -> 15994 bytes .../test_components.gds/gds_ref/metal_via.gds | Bin 716 -> 908 bytes .../gds_ref/mzi_77da1a7c.gds | Bin 28472 -> 27970 bytes .../photonic_wirebond_surfa_8365a94f.gds | Bin 2504 -> 2848 bytes .../photonic_wirebond_surfa_b165631b.gds | Bin 2504 -> 2848 bytes .../gds_ref/ring_single.gds | Bin 14440 -> 14142 bytes .../gds_ref/ring_single_9ab3dce2.gds | Bin 14472 -> 0 bytes .../gds_ref/ring_single_e75e1864.gds | Bin 14084 -> 0 bytes .../gds_ref/spiral_external_io.gds | Bin 30482 -> 26966 bytes .../test_components.gds/gds_ref/straight.gds | Bin 566 -> 438 bytes .../straight_add_fiber_arra_bd61bb4d.gds | Bin 116890 -> 0 bytes .../test_pdk_settings_coupler_ring_.yml | 24 ++- .../test_pdk_settings_dbr_cavity_.yml | 54 +---- .../test_pdk_settings_dbr_cavity_te_.yml | 196 ++---------------- .../test_pdk_settings_ring_single_.yml | 16 +- .../test_pdk_settings_ring_with_crossing_.yml | 9 +- 60 files changed, 60 insertions(+), 252 deletions(-) delete mode 100644 ubcpdk/tests/test_components.gds/gds_ref/SEM_example.gds delete mode 100644 ubcpdk/tests/test_components.gds/gds_ref/add_fiber_array_1e7b25b3.gds rename ubcpdk/tests/test_components.gds/gds_ref/{add_fiber_array_5764a2ad.gds => add_fiber_array_b89d850a.gds} (54%) delete mode 100644 ubcpdk/tests/test_components.gds/gds_ref/add_fiber_array_eab0e416.gds delete mode 100644 ubcpdk/tests/test_components.gds/gds_ref/bezier_3006a950_bend_s.gds delete mode 100644 ubcpdk/tests/test_components.gds/gds_ref/coupler_8fdbfb26.gds delete mode 100644 ubcpdk/tests/test_components.gds/gds_ref/dbr_cavity_6697eb2a.gds delete mode 100644 ubcpdk/tests/test_components.gds/gds_ref/dbr_cavity_6697eb2a_add_eb00d35c.gds delete mode 100644 ubcpdk/tests/test_components.gds/gds_ref/dbr_cavity_676862ae.gds delete mode 100644 ubcpdk/tests/test_components.gds/gds_ref/dbr_cavity_676862ae_add_f6bd4e90.gds rename ubcpdk/tests/test_components.gds/gds_ref/{dbr_cavity_11e4c29a.gds => dbr_cavity_aa257b23.gds} (94%) delete mode 100644 ubcpdk/tests/test_components.gds/gds_ref/dbr_cavity_dde9ca01.gds delete mode 100644 ubcpdk/tests/test_components.gds/gds_ref/ring_single_9ab3dce2.gds delete mode 100644 ubcpdk/tests/test_components.gds/gds_ref/ring_single_e75e1864.gds delete mode 100644 ubcpdk/tests/test_components.gds/gds_ref/straight_add_fiber_arra_bd61bb4d.gds diff --git a/CHANGELOG.md b/CHANGELOG.md index 734f34cc..61336d9f 100644 --- a/CHANGELOG.md +++ b/CHANGELOG.md @@ -1,5 +1,10 @@ # Changelog +## [1.9.0](https://github.com/gdsfactory/ubc/pull/65) + +- update to gdsfactory 6.0.1 + + ## [1.8.0](https://github.com/gdsfactory/ubc/pull/65) - update to gdsfactory 5.50.3 diff --git a/requirements.txt b/requirements.txt index dfa130c2..916608ea 100644 --- a/requirements.txt +++ b/requirements.txt @@ -1,4 +1,4 @@ lygadgets flayout -gdsfactory[full]==5.50.3 +gdsfactory[full]==6.0.1 modes==1.0.6 diff --git a/ubcpdk/components.py b/ubcpdk/components.py index ec23d10c..7dfdc8ad 100644 --- a/ubcpdk/components.py +++ b/ubcpdk/components.py @@ -560,14 +560,14 @@ def ebeam_dc_halfring_straight( if __name__ == "__main__": + # c = ebeam_crossing4() # c = ebeam_dc_te1550() # c = ebeam_y_1550() # c = ebeam_bdc_te1550() - # c = ebeam_gc_te1550() - # c = add_fiber_array(c) + c = ebeam_gc_te1550() # c = spiral() # c= coupler() # c = ebeam_gc_tm1550() # c = add_fiber_array() - c = dbr_cavity_te() + # c = dbr_cavity_te() c.show(show_ports=True) diff --git a/ubcpdk/tests/test_components.gds/gds_ref/SEM_example.gds b/ubcpdk/tests/test_components.gds/gds_ref/SEM_example.gds deleted file mode 100644 index d509e6c750e489edb76cc06810c95a471daf25d0..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 414 zcmZQzV_;&6V31*CVt>rQ#URPR&Y;4efXrs#VPeb4Oe#t&s$^ggVP>^+>@@d2w)}&o z%MSeov!g;7WLRlXv*XA@^+U}fMzGDScVY@&R20|Nt(46D-?sOfP1oJSz)*%|Qqii-_q7R*14Q2)4qT*7$h|Nnn>2$wS+ i0*OH|(B}+nOMr4<`v3p`77+C?8mJHKVxS9HSQr4E5&?|q=D=>*XE0?4{T(>)5?7L 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11:37:39.265 | INFO | gdsfactory.simulation.gmeep::32 - Meep '1.24.0' installed at ['/usr/local/google/home/jmatres/mambaforge/lib/python3.9/site-packages/meep']\n" + ] + } + ], "source": [ "import gdsfactory.simulation.gmeep as gm" ] }, { "cell_type": "code", - "execution_count": null, + "execution_count": 5, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "image/png": 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+ }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], "source": [ "df = gm.write_sparameters_meep_1x1(component=c, run=False)" ] }, { "cell_type": "code", - "execution_count": null, + "execution_count": 7, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "656cefd1da9e49179ccdac718aa0c6f0", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + " 0%| | 0/2 [00:00<Figure size 432x288 with 1 Axes>\n", + "\n" + ], + "text/plain": [ + "\u001b[1m<\u001b[0m\u001b[1;95mFigure\u001b[0m\u001b[39m size 432x288 with \u001b[0m\u001b[1;36m1\u001b[0m\u001b[39m Axes\u001b[0m\u001b[1m>\u001b[0m\n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "image/png": 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\n" + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], "source": [ "gm.plot.plot_sparameters(df)" ] }, { "cell_type": "code", - "execution_count": null, + "execution_count": 9, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/html": [ + "
<Figure size 432x288 with 1 Axes>\n",
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<Figure size 432x288 with 1 Axes>\n",
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\n" 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<Figure size 432x288 with 1 Axes>\n",
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\n" + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "ebeam_y_1550: uid 1d162469, ports ['opt1', 'opt2', 'opt3'], references [], 18 polygons" + ] + }, + "execution_count": 10, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "c = ubcpdk.components.ebeam_y_1550()\n", "c" @@ -131,18 +374,77 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 11, "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/usr/local/google/home/jmatres/mambaforge/lib/python3.9/site-packages/gdsfactory/simulation/gmeep/get_simulation.py:148: UserWarning: port_source_name='o1' not in ['opt1', 'opt2', 'opt3']\n", + " warnings.warn(f\"port_source_name={port_source_name!r} not in {port_names}\")\n", + "/usr/local/google/home/jmatres/mambaforge/lib/python3.9/site-packages/gdsfactory/simulation/gmeep/get_simulation.py:151: UserWarning: Selecting port_source_name='opt1' instead.\n", + " warnings.warn(f\"Selecting port_source_name={port_source_name!r} instead.\")\n", + "Warning: grid volume is not an integer number of pixels; cell size will be rounded to nearest pixel.\n", + "/usr/local/google/home/jmatres/mambaforge/lib/python3.9/site-packages/meep/__init__.py:4494: ComplexWarning: Casting complex values to real discards the imaginary part\n", + " return _meep._get_epsilon_grid(gobj_list, mlist, _default_material, _ensure_periodicity, gv, cell_size, cell_center, nx, xtics, ny, ytics, nz, ztics, grid_vals, frequency)\n" + ] + }, + { + "data": { + "text/html": [ + "
<Figure size 432x288 with 1 Axes>\n",
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\n" + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], "source": [ "df = gm.write_sparameters_meep(component=c, run=False) # lr stands for left-right ports" ] }, { "cell_type": "code", - "execution_count": null, + "execution_count": 12, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/html": [ + "
<Figure size 432x288 with 1 Axes>\n",
+       "
\n" + ], + "text/plain": [ + "\u001b[1m<\u001b[0m\u001b[1;95mFigure\u001b[0m\u001b[39m size 432x288 with \u001b[0m\u001b[1;36m1\u001b[0m\u001b[39m Axes\u001b[0m\u001b[1m>\u001b[0m\n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "image/png": 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i0fptVt88DUBEfisiPU2UrSIi0gbgHwHMBHASgDkicpKfv2Gj+Duk02l0dnbijDPOAFB8MjiG8NBDD2Hr1q1IJBKxuRoiduIs97Bx40Y89thj+c8cnPw/88wzkUwmrXgMZDX80LdKLYB/AfDvIrJQRLyfutw4pwPYraqvqOoQgNUALvIruM3iD4w0d2+66SaIiGsrAABuv/32wMtGSKu49dZbAbhf/be3t+PGG2903W8bfumbZy2p6loApwEYA2CDiNwkIjc6W8O/OMJkAIW3rL6R+6xpbBd/YKSb57TTTkNvby+A4rEAxxBWr16Nbdu2sRVAjKXa1b+T96effjo+85nPIJPJWD3466e+VbPJIQAfA+gAcFjJFggiMk9ENojIBpTf9V1GHMTfwRnwde4JKE360lYAp4QSE3Hy1uvq38l7Z+kHm/Fd31TVdQNwAYAdAJYC6PI6rtENwBkAflfw/vsAvl/xO5OglVj/6nrtXtat619dX/G4QrCocswok8lkVFV1aGhIe3p6FIDn9sgjj6iqaiqVCrPIhNSFk6+/+MUvKub38ccfr+l0OuTSNk8lPWpE3/JxgQ3qpqluH2aPx+8BfNprf7MbgCSAVwAcA2AUgC3Vfq+SATRaOSYbgOrICXL33XcrAE0mk0UnhogoAJ02bVq4BSWkTpwLnFQqpZMnTy7KZ2dz8v3ee+/NH2syXnrUjPirehtApTGAs1R1e1PNiwqoagrAtQB+B2AngDWN/l6cun1Kcaa6zZ8/HzNnzsw/M8BBc0vnvvbaa1ixYgUAxGKGBDEfp5//xz/+Mfbu3Vu2xHkikUAqlcLFF1+Mr3/96wDsnPrZUn1zc4Wobm4tgKad0fAWgOrIVc+mTZsqNpMB6EsvvVT0HUKiiJOfO3bsqJrT27dvL/qOyZTqUbP6lo9bbwvABOJ85V9IW1sb0uk0pk+fjksvvRRA+RopzkDZZZddhvfffx9tbW1FV1OERAVVRVtbG9555x3Mnj0bQPkEBye/58yZg5NOOgnpdNq6q/8g9M1YA6D4AxDJbgCSyTaIZO+SHDNmTNlj8FQVyWQSW7ZswU033QSAXUEkmjhdPzfeeCNefPFFJJPJsouVVCqFcePG4Qc/+AGAEYMoOCWMJih9M9IAKP7efOpTn8LixYsBlLcCnLXR77vvPqxYsSI2d0wSc3Cu5O+44w48+OCDEJGyixknr2+//XYcd9xxZeNephOovrn1C0V1wyT41ieW7xszeQwAyG4FL52pcDNnznSdFVS43XXXXapqR98pMR8nD++44w7PnHXy+eKLLy76jkPBKWEkWARf9S0ft95poFHcMMn/yrHVAHbt2qXd3d1VB9BWrFihqjQBEi61iL8zBXTixIm6e/duVdWyuf82GIDf4q9q0SAwu30q40yNO+GEE/K3zVfi+uuvx8qVK/MDyYQEjdPts3z58vz4lBuqIw+DOfbYY63r+nEIUt+Mqz2Kf3Wcp4KdeeaZuPnmmwFUfjLSddddh7vuuosmQAKnVvF38veWW25Bb28v0um069PASDl9/X2e+4wzAFIbzpXR0qVLsWDBgmxzr8LVUmFLIJVKcYooaSmqWjTgW0n8nRvAFi5cmJ/gYNuUz1bhDCh7EWsDqOSMNuD08y1btgzz58/PL5nrxXXXXZefHSQibA2QlpBOpyEiefFfsGCB57Ht7e3IZDK44YYbsGTJEq5oWweFs4k8cRsYiOpWbTG4enBmE9k2CFyKM0j23nvv6cSJE6vODAKg3/jGN3Tfvn2qysFh4h+ZTCafT++8845ec801FfPQydMpU6bohx9+qKrlg76l2DAI7AelsyVhyyCwH9TkjJaQSCSQTqcxbtw4PPvss5g4cSJSqZRnS0BEcO+99+Kcc87BK6+8km9qszVAmqHwqv+ll17C2Wefjfvvv9+zW7K9vR2pVApTpkzBc889hzFjxiCdTls56Os39dxHELvajONNZM7g7tSpU/Hcc89h4sSJGB4edj2ZVEfuGD722GPzC8g5MdgEJ/WQyWSKlmlYvnw5jj/+eGzfvj0/WaGURCKB4eHhvPhPmjTJyqUeWkHd+ubWLIjq1mwXkNtNZLZ3ARXiNL/fffddnT9/vuvyus5W+HlPT48++uij+TjpdNqKtddJ6yjNkdWrV+u0adNc88st77797W/r+++/r6r1dUPGuQuo0k2ysOVGML8rJ04GoFp8Mi1YsKDiyQhAE4lE/vWcOXN027Zt+e/TCEgppTmxefNmvfzyy13zyeuCY+HChfnv1zsGFVcDqLZCQqwNoKIzxswAVLMnqfOwjZtvvrls0K3SyekYwdatW4tiplIpmkFMSafTZUK9efNmnT17dsU8csu7W265JR+zkXyKowHUsjxObA2gqjPG0ABUR562pKr6+9//XsePH191hlDp1Vtpi8AhlUppJpMp+g1iD87f1u3qfMuWLWXC73XVX5hvEydO1GeeeabpssXNAGpdGy2WBlCTM8bUABwK1w5yFpCrxwgSiYROnz5dly5dWtYqcOIXGgJNwSwK/25erbzNmzfrbbfdpqecckrRVX4twg9AL7zwwvyDipptRcbJAOpZGDN2BlCzM8bcAFRVh4eH869XrFihY8aMqekkLt2XSCT0tNNO01tvvVV37typ+/fvd/29VCqV3woFhl1I4eB0CRYKvbO5sX//ft2+fbsuXrxYp0+fXta1U2vOjB07VleuXJmPW5iHjRIXA6h3VWQvA5DsPjOQo0T1T9XLW89UKPmBQP/BnDoowlnfR7XwZUM40/ESiQR27NiBW265Jb+YXDKZLFuTvbgYkl9CwqGjowNdXV2YPXs2Jk+ejCuvvBJdXV1ob2/HEUccUbEsznMLmqHZ75tAs+euqlZdT2ffvn1IpVLYv38/Vq1ahTfeeANr167FwMAABgcH88c5z5aoVKbCPLrsssuwZMkSnHDCCfl7BPyY49/seRA2tehRI1PZRWSjqvaWfW6bAdRbOTSAYlKpVF4UNm3ahIULF+Lxxx8HMLImS6WccTMDIGsImUwGRxxxBGbPno2DBw/ihBNOwBVXXIHBwcH83O+enp6Ky1UQfxkcHMSePXvySy50dHRg1apVePnllzFq1Cg8/PDD+PDDDwEAQ0NDRd+tRfRFBCKSv8D48pe/jMWLF+Pkk08GUJxvfmC7ATR6H1OkDEBEfgTgSwCGALwM4G9U9YOq36tiAA05Iw2gjEwmA1XN33jzk5/8BMuXL0d/f3/+mEQiUdNNYc5VndexThzn397eXpx66qk4ePBg3VfxzvpFnZ2d+OY3v4nRo0dbeQdzMpnERx99hJ/+9Kf5JZHrPY9VFZ2dnXj++eexefPmfP2LiGesan/L0mMLj/vEJz6BBQsW4Fvf+hYA+HrVX4jNBtDMTaxeBhBOXz7wBQDJ3OsfAvhhTd+rMAbQ6JPCOAbgTWEf8ODgoK5YsUJ7e3vLBvoq3UfgtiUSiYa+xy2YTUTyf6NGvlf4d/7sZz+rK1euLOrfb+X6UrB0DKDZJyEiqoPAAC4BsKqmYz0MoJnKoQFUp/SE3bBhg15xxRU6depUV3H3S3ya2cIW0SA2P+qpWRN2q+uenh6dM2eObtq0qWIetQIbDcCPx+BG2QB+A+DKCvvnAdgAYAMO979yaAC14czSKZzGOTAwoMuWLdPPfe5zFcWcV/p2bNX+njNmzNDly5frwYMHK+ZNK2n1edBqSvXIr2egI2gDAPAkgBddtosKjlkI4DHkxiKqxixpAfjijCUVbhQF2R5k4rvd+blz505dt26dXnXVVfllp922uF2lm7rV8neaNGmSXn311frUU0/prl27ivIhrDvDbTIAv8Rf1dsAWvZMNVU9r9J+EbkGwIUAzs0VsC7iuKpnVCgcuHOW6D3xxBNx4okn4rzzzsPbb7+Njz76CA888AD27duHbdu24Q9/+EPV6aSlsRtBRy4uYoEzy6YZ3AZ1Cz9rb2/H8PAwZsyYgZNOOgkTJkzA3LlzMWbMGIwfPz5/nKoik8mgra2NK3c2SVD6FspDNUXkAgDfBTBDVQ/U+32Kf3RwTnRHMFQVEyZMwIQJE/KP70un03jrrbewf/9+3HfffUilUujo6MCjjz6KPXv2YNSoUfnjPv7443D+I4bih+GNHj06/3ccGhpCT08PLrnkEhw8eBAdHR342te+hq6uLhx11FFlZuPM5gGy5k3hb54g9S2saaC7AXQA2Jf76P+q6reqfu8o0fX/Z72vlcNpoP5T1sz0mOc9MDCAjz/+GIlEAolEAgcOHMDPf/5zHDx4EG1tbXUJm6rikEMOwYYNG/D444+jq6vL6mcXJBIJDAwM4Itf/CKmT59e97RZZ8psV1cX5s6di87OTmQyGWQyGRx66KHo7Ox0/Z5zk17hFiWidB40gvxA0N3V7bv4R+o+gEaRo0S7v9ON1Zeu9q1ykkuSSN1SuVsiqrTlhDWdSiGZzF55pVLRnPdeaAjO+46Ojpb81gcffBCLK9FMJoPDDz+8JbEHBwfz4h5VsXcj6udBNZJLknjyyid9v/JPJpOuBhBKF1AztKJZZLpYFJbf9P+LH4wdOzbsIhhPq8w5KEw+D8499tzAfss4A7j7u3fjbtztX8BPA7Nnz/YvXoCsyf2bLf+agtfxxqRWbbOYcFUeLIafBy3Qo7e73vbcZ1wXEN70Oeii3GYgzl9OXN4REk8MPw8WwV896gEwC8CPYEcXkJ9rh+g0hUJ9X48kMApW8HTGO439vxDiA6afBxlkfCu7TlPoZQp5RKBwv9A3zgB8m9nRA+Ayn2OGRGH5Tf+/EOIHJp8HvpS9B1l9Wwtov3cvj5k22Sw9yDaL1oZcDkII8ZsejOhbf+VD42cAPai5cgghxCh6UJe+xcsAekDxJ4TYSQ/q1jfjxgAmT57c0PcGJw3ivXPfwxFPHYGO4Q4gF2Yv9jYcM3T27gWQrZPcS3P/L4T4gOnnQaN65KVv+bhOxZRg3DTQodeGqh9Ywn+89h+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+ }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], "source": [ "import gdsfactory as gf\n", "\n", @@ -173,7 +475,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.10.5" + "version": "3.9.7" } }, "nbformat": 4, diff --git a/sparameters/straight_length3_18b541d4.npz b/sparameters/straight_length3_18b541d4.npz new file mode 100644 index 0000000000000000000000000000000000000000..834ec04331de58ab56f3bd693da538bb7ee12b9f GIT binary patch literal 4654 zcmeI0cTkhd8pcD3AT5BAC`F2ZbdV0Aih_bisv@Gq9J&G#rHFt?384rgpi~1Aic%s7 z97P2QL0VA65P?V!B7uZ@PY7Vh1@ApG>b>XxduQD5+jr)heV^HxZ}*wszUyGe#SI1k z0KD5>7GTw7Zyd%202FU`K>!$lIBcP%wi7ghu0(JEgue}JX99MTcG`n9x-$_7=;Tp) zdUz;ard~)KZN!_Bw$BHsccu!$%>cwzad+_U(}uq{G`wAy^m06&8|!J=85=JQI>yPJ z5Z#Y^9Bexwjta9Ce!F0+EQ~S%v-qROqs@vS1|GYCKGjSO9j4k06iCYLMWGV;2}pKibr)%*7FDAwr#^kP zc}8!fD=!9k*s2&+*Qs9vs_H;b)za;s&}|RBVyUd z-eH2cchbYaq?Ry#dL4T&4wDVH6yu%5h5so)rN&U+4T@@KnSOiGQ?NB0`! 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Date: Sun, 13 Nov 2022 21:38:18 -0800 Subject: [PATCH 4/6] fix docs --- docs/notebooks/13_sim_plugins.ipynb | 3271 ++++++++++++++++- sparameters/bend_euler_radius3_6ad1d010.npz | Bin 0 -> 4680 bytes sparameters/bend_euler_radius3_6ad1d010.yml | 86 + .../coupler_gap0p13_length8_e8c7ce5e.npz | Bin 0 -> 16887 bytes .../coupler_gap0p13_length8_e8c7ce5e.yml | 69 + sparameters/coupler_ring_4778e15a.npz | Bin 0 -> 16921 bytes sparameters/coupler_ring_4778e15a.yml | 73 + .../ebeam_crossing4_7e264905_216d7d7a.npz | Bin 0 -> 16886 bytes .../ebeam_crossing4_7e264905_216d7d7a.yml | 69 + sparameters/ebeam_y_1550_1f494ca0.npz | Bin 0 -> 9768 bytes sparameters/ebeam_y_1550_1f494ca0.yml | 49 + sparameters/ebeam_y_1550_76acf988.npz | Bin 0 -> 9761 bytes sparameters/ebeam_y_1550_76acf988.yml | 51 + sparameters/ebeam_y_1550_912ab8ee.npz | Bin 0 -> 9768 bytes sparameters/ebeam_y_1550_912ab8ee.yml | 67 + sparameters/straight_length3p1_bdd2f6cd.npz | Bin 0 -> 4653 bytes sparameters/straight_length3p1_bdd2f6cd.yml | 72 + 17 files changed, 3612 insertions(+), 195 deletions(-) create mode 100644 sparameters/bend_euler_radius3_6ad1d010.npz create mode 100644 sparameters/bend_euler_radius3_6ad1d010.yml create mode 100644 sparameters/coupler_gap0p13_length8_e8c7ce5e.npz create mode 100644 sparameters/coupler_gap0p13_length8_e8c7ce5e.yml create mode 100644 sparameters/coupler_ring_4778e15a.npz create mode 100644 sparameters/coupler_ring_4778e15a.yml create mode 100644 sparameters/ebeam_crossing4_7e264905_216d7d7a.npz create mode 100644 sparameters/ebeam_crossing4_7e264905_216d7d7a.yml create mode 100644 sparameters/ebeam_y_1550_1f494ca0.npz create mode 100644 sparameters/ebeam_y_1550_1f494ca0.yml create mode 100644 sparameters/ebeam_y_1550_76acf988.npz create mode 100644 sparameters/ebeam_y_1550_76acf988.yml create mode 100644 sparameters/ebeam_y_1550_912ab8ee.npz create mode 100644 sparameters/ebeam_y_1550_912ab8ee.yml create mode 100644 sparameters/straight_length3p1_bdd2f6cd.npz create mode 100644 sparameters/straight_length3p1_bdd2f6cd.yml diff --git a/docs/notebooks/13_sim_plugins.ipynb b/docs/notebooks/13_sim_plugins.ipynb index 9a81ed55..7bcbb57e 100644 --- a/docs/notebooks/13_sim_plugins.ipynb +++ b/docs/notebooks/13_sim_plugins.ipynb @@ -63,9 +63,20 @@ }, { "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], + "execution_count": 1, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2022-11-13 19:51:46.309 | INFO | gdsfactory.config::45 - Load '/usr/local/google/home/jmatres/mambaforge/lib/python3.9/site-packages/gdsfactory' 6.0.1\n", + "/usr/local/google/home/jmatres/mambaforge/lib/python3.9/site-packages/scipy/__init__.py:146: UserWarning: A NumPy version >=1.16.5 and <1.23.0 is required for this version of SciPy (detected version 1.23.4\n", + " warnings.warn(f\"A NumPy version >={np_minversion} and <{np_maxversion}\"\n", + "2022-11-13 19:51:49.048 | INFO | gdsfactory.simulation.gmeep::32 - Meep '1.24.0' installed at ['/usr/local/google/home/jmatres/mambaforge/lib/python3.9/site-packages/meep']\n" + ] + } + ], "source": [ "from gdsfactory.simulation.modes import find_modes_waveguide\n", "\n", @@ -83,7 +94,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 2, "metadata": {}, "outputs": [], "source": [ @@ -92,18 +103,42 @@ }, { "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], + "execution_count": 3, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], "source": [ "mode.plot_e_all()" ] }, { "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], + "execution_count": 4, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "2.4409489585196966" + ] + }, + "execution_count": 4, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "mode.neff" ] @@ -117,9 +152,17 @@ }, { "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], + "execution_count": 5, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2022-11-13 19:51:50.908 | INFO | ubcpdk::36 - Found UBCpdk '1.8.0' installed at PosixPath('/usr/local/google/home/jmatres/ubc/ubcpdk')\n" + ] + } + ], "source": [ "import gdsfactory.simulation.gmeep as gm\n", "import gdsfactory.simulation as sim\n", @@ -130,9 +173,35 @@ }, { "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], + "execution_count": 6, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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KGmtek9pUjfnu1KkTDzzwADfffDMulyuiNQhRXxLkTdSRI0dYt24dp06dorS0FIfDgd1urx4S5/V68Xg81aujZ2ZmkpaWFtWaS0pKyMnJYf/+/Rw9epTs7Gy2b9/O3r17KSwsrB7RUVJScsaFyKKioqjUa7PZUEqRnp7Or3/9a+644w6++eYbRo4cGZV6hKgvCfIm5tixYwwdOpR9+/Zht9vp27dv9QROJpOput+26mKfUgqr1UpFRQXJycncfffdTJgwgQ4dOoSlnkAggNvtpqCggIKCAvLz8zl27Bh5eXns27ePnJwccnNzyc/Pp6KiAofDgVKKvn37snr16jP21ZjTv9ZV1bwmqampjB8/nrFjx9K1a9fq17/55ptolSZEvUmQNyH79+8nKyuL/Px8IDT+2efznfMmlqoLgPv37+fJJ5/kiSeeoG/fvlxzzTUkJSVRVlbGunXr6NGjB4FAAL/fX92V4fF4KCsro6SkhNLSUoqLi6sfl5WV4fV6sVgsWK1WzGYzWmt8Pl+tCypUhXWku0Z+jNPpxO/306NHD37xi19w880306VLl2iXJUTYSJA3EQUFBQwePJiCgoIG7acq1NevX189vtrv99c4HrquKioq6n1TTbQEg0HsdjuDBg1i7NixXH/99bRr1y7aZQnRKCTImwCPx8OIESPIz88P66x7Wus635JudFVn3e3atWP06NFcccUV3HbbbdhstmiXJkSjkyCPspKSEq699lp27tzZpLojmrqqC6cWi4WhQ4dy4403Mnz4cFnXUrRIEuRREgwGWbx4MZMnT+bEiRMt5sy5vuLi4vD5fMTGxjJo0CBGjRrFT3/6UzIyMmSMt2jxWkyQx//P/8CWLbBtG3ToADk5Ea/B6/WyatUq3n//fd555x3Ky8sbdSkxo3I4HFgsFsrKyujSpQtDhgxh2LBhXHnllXTq1Cna5QnR5LSYILdu2hQK8IsughMnGrUtv99fPQ/HyZMnWblyZfW0qmdP7tTSuVwulFJ4PB7S0tIYMGAAgwYN4rLLLqNv376yDJoQddB8gry8HB56CObOBbcb+vWDv/wFBg0KvTxsGH958UUyfT66Axc08p/jMTEx1X/y2+326mF5kZwrpKkwmUw4nU6UUpSVlZGQkED37t0ZMGAAl1xyCX369KFnz55yYVKIemo+Qf7gg/DOO/DGG9ClCzz7LIwcCd99B8nJQGTHNp8+R0hzv4iplKruDgkEAng8HhwOB7169aJ79+7VQZ2RkUGPHj3k1nchwiwsQa6UGgm8AJiB17TWfw7HfuustBT+8Q947TUYPTr03CuvwKefwksvwVNPRbQco7NYLNWLJlTN6x0IBKioqCAYDBIfH0/r1q1JTk6mU6dOdOvWjbS0NNLS0ujUqRPp6emcOnWKlJSUaH8pQrQIDQ5ypZQZeAm4GsgFNiilPtBa72jovuts717w+WDgwO+fM5vhiitg82b4xS+I/eQTLgZa6rmgxWKhX79+mM3m6g+bzYbdbsdutxMXF0d8fDwJCQnEx8cTFxdHQkICiYmJtGrVijZt2tCmTRvi4+PrNErk1KlTjf9FCSGA8JyRDwD2aK33ASil3gJuACIX5LUJBmHDBkhPB63JAhyAO9p1RUFCQgLr16+PdhlCiEYQjiDvCBw67f+5wOVnb6SUmgRMAmjXrh0fffRRGJoOMXu9XBUTw7Z//IO84cNDTwYC/OSzz9AWC/6iIqzl5cTExFABWJSid48eYWu/MbVp04bevXs3eD8ulyusx/xc3G43CQkJEWsvXL766qtol1BvRj3mUnfDRexip9Z6JjATIDMzU4d9qtB77qHPnDn0GTYMLrgAnnsOioth506Ii6Nk6lQWz5lDL6ATYN62DQj92dCUL0W6XC62VdbaEHa7nfnz5xMTE4PZbMZqtWK323E4HNhsNhwOB7GxsbhcLlwuF3FxcSQmJlZ3rVSNOqmrvLw8w/aRG3UaW6Mec6m74cIR5IeB0yfCTq18LrKefjr074QJcOoU9O8PH30ElXN02z//nLtO23xL5b+dgQMRKzJ6vF4vr7766g+eV0phNpuJiYnBZDJhNptRSlVPl+v3+6moqEBrjcvlolWrViQlJZGSkkJ6ejqdO3emY8eOpKamkpaWRkpKiqxlKUSEheMnbgOQoZS6gFCAjwXuCMN+z4/NBs8/H/qogefWW3n22WcBeDxiRTV9VWFdlyXV3G43brebnNPuirVYLNULXlRNuZuYmMjVV19NMBikT58+ZGRk0L17dzIyMnA6nY341QjRMjU4yLXWfqXUVGAZoeGHb2ittze4MoNzOp1orYmJicHr9RpuGti68vl8Pxgnf+LECXJycli3bh3z5s0jNja2+mag+Ph4MjIyyMzM5JJLLqF379707t27ehIsIcT5C8vfwFrrJcCScOyrMVksFioicHOO0+lk69atmM1mcnNz+eSTT5g9ezZ5eXlorVvU3Z2BQOCMlYEKCwvJzs4mOzsbp9OJ2WymrKyMdu3a0a9fP37yk5+QmZnJpZdeSmJiYvQKF8JAWlRn5iOPPALA448/HrE2O3XqxJVXXsl///d/s3fvXhYtWsS7777Lpk2bMJlMta600xKUlpZWP87LyyMvL48VK1Zgt9vxeDwkJSVxxRVXMGzYMAYOHEjv3r2l/12IGrSYn4ri++8nLspXmLt27cr06dOZPn06hYWFvPLKK/zxj3/E6/U2aAWf5uT01YiOHDnC/PnzWbp0KTExMfh8Pi6++GJGjRrFVVddxYABA2R+FiEAU7QLaKlat27NI488wvbt20lLS5MzzR/h8XgoLi7G6/WyYcMG/vCHP3DdddcRHx9PZmYmTz75JOvWravTBVshmiMJ8ihLT08nOzubdu3ayQIJdeT3+ykqKqKiooJNmzbx1FNPMWLECBISErjmmmuYMWMGu3btinaZQkSMBHkT0K5dO1auXElcXFy0SzEkn89HcXExZWVlLF++nHvvvZeePXtywQUX8Nvf/pa1a9fK/O+iWZO/55uIjIwMli1bxvDhw8+4CHi+lFI4nU6sVitZWVkkJSVRXFzMN998Q3p6OsFgEL/fj8/no6KigvLycsrLy/F6vXi9XjweT/Wyc1WzIFbNgOj3+ykvL2/y/fk+nw+TyUROTg7PPfccM2bMQCnF9ddfz+23387w4cOlb100KxLkTUhWVhZffvklV155JVrrOq/jaTabcTqd+Hw+xowZw9SpUxk4cGC9u2qqhki63W5OnTrFiRMnOHHiBMePHyc/P59Dhw5x4MABcnNzOXr0KIWFhdWzKQKUlZXVq93GcPrwxzlz5rBo0SJ8Ph8jRoxg/PjxjBw5UlYhEoYnQd7E9OnTh6KiIlatWsWaNWsoLy+nV69eOJ1OXC4XZrOZQCBASUkJJSUlmM1mOnfuzIABAxg8eHBYQqlqoQiHw0GHDh3Oub3WmuPHj3Pw4EFycnLYu3cvp06dwu/3s3//ftxuNw6HAwgNOYxmN0dRUREACxcu5NNPP8Xv9zNq1CgmTpzI8KoJ14QwGKW1jnijmZmZeuPGjRFtsylNcHM+mkPdHo+H7777jp07d7J161bWr1/Ptm3bOH78OLGxsfj9/rCfxZtMpvP6hVF1feK2225j0qRJZGZmGu7ic3N4rxhJNOpWSm3SWmee/byckYtG53A46NOnD3369OG2226rfr6srIxt27axZcsWvvzyS7788ktycnJwOBxUVFRE9A7Yqu6X9evXM3fuXFq3bs3kyZOZMGFCnf4qESKaZNSKiJrY2FgGDBjApEmTmDVrFrt376a4uJiPP/6Yp59+mjFjxtC2bVtsNlvERvQEg0FKS0s5dOgQTz75JMnJyQwaNIhFixbJOHXRZEmQiybFZrMxYMAA7rvvPhYuXEh+fj579+7l1VdfZeLEiaSnp2O1WiMS7FV/EaxZs4Zx48aRlJTE/fffz3fffdfobQtxPiTIRZPXsWNHbrvtNl577TVycnI4fPgwr7/+OnfeeSft27evvjAbbibT9z8excXFuN1uXnzxRfr06UP//v2ZPXt2g4aKChEuEuTCcJKSkrjllluYPXs2R48eZdu2bTzzzDMMGTIEm82G1WolHBfxa7pY6vP58Hq9bNmyhalTp9K2bVvuvPNO1q9fH5Y2hagPCXJheF26dOGee+5h5cqVnDp1infffZeRI0fSpk0bnE4nFoulXvs9/Yy8JiUlJXg8HubMmcOwYcO44IILePbZZykoKKhXe0LUlwS5aFbsdjtjxoxhyZIlHD9+nNWrV3P//feTlpZGbGwsVqu1Tvs5n+GLVRdIDxw4wKOPPkpqaiqjR49m2bJlTf4uWNE8SJCLZkspRf/+/fnTn/7EwYMH2bBhAw8++CCpqanExsb+6IyT9b1pqWqKgyVLlvDzn/+c9u3b88gjj5yxPJ4Q4SZBLlqMXr168fvf/55Dhw6xdu1apk2bRps2bXC5XGfc/FO1+HRDlZSUcOLECf7617/Ss2dPsrKymDt3botaIUpEhgS5aJH69OnDX/7yF/Lz8/nwww8ZO3YsDoej+kJpOC9cVt3clJ2dzaRJk0hKSuLuu+9my5YtYWtDtGwS5KJFM5lM/OQnP+Hf//43x48fZ8yYMSQnJ2O32+t9kfTHlJSUUFpayj//+U8GDhxI9+7deemllzh16lTY2xIthwS5EJWcTieXX345eXl5bN26lWnTppGYmNgoNx8FAgHKysr47rvvePDBB0lOTuZnP/sZn332mcydLs6bBLkQNejWrRvPPPMMx48fZ+7cuVx99dXYbLZGmfK2rKwMr9fLggULGDNmDCkpKTz++OPk5uaGvS3RPEmQC/EjYmJiGD16NMuXL+fAgQM88cQTpKam4nQ6G2V2xJKSEo4dO8af//xnunXrxuDBg5k3b171gtRC1ESCXIg6at++PQ8++CAHDx7k448/rr5A6nQ6w95W1cpNX3zxBRMmTCApKYl7772XHTt2hL0tYXwS5EKcJ6UUV1xxBf/+97/Jz8/nhRdeoHfv3jgcjh8dm15fxcXFFBcX88orr5CZmclFF13Eq6++Wj31rhAS5EI0gMvlYuLEiWzdupVNmzYxefJk4uLiGuUCqd/vx+PxsGPHDv7jP/6Ddu3aMXbsWJYuXSrzvLRwEuRChEnPnj3529/+xokTJ5g9e3b1JF6NsdBzaWkpXq+Xd955h1GjRpGSksJ7770nF0hbKAlyIcLMYrFw0003sXLlSvbt28ejjz5K+/btcblcYW9La43JZOLo0aO89957dOvWjcsvv5xZs2ZVr08qmr8GBblS6hml1C6l1DdKqQVKqcQw1SVEs5CSksKjjz7KkSNHWLx4MT/72c+w2+3ExsaGZf9Kqepx5z6fj/LyctavX8+9995Lu3btGDVqFPPnz8fj8YSlPdE0NfSM/GOgt9a6D7AbeLjhJQnR/CilGDJkCPPmzePo0aM888wz9OjRg9jYWMxmc733W1vfeElJCeXl5SxdupTx48fTunVrxowZw/z588O+0LWIvgYFudZ6uda6aiHDdUBqw0sSonlLSEhgypQp7Nq1i7Vr1zJx4kRcLtd5d72YTKY6jWUvLi7G6/WyaNGi6lAfPnw4s2bN4vjx4/X9MkQTosJ1tVsptQh4W2v9r1penwRMAkhNTb00Ozs7LO3WVWFhIa1bt45om+EgdUfW6tWrGTx4cMTb9fl8rF+/nsWLF7N//3601ue92HP37t3ZvXt3nbe32+34/X5SUlIYOHAgmZmZpKenN8qNTj/GqO+VaNTdsWPHTVrrzLOfP+egV6XUCqBDDS/9Tmu9sHKb3wF+YE5t+9FazwRmAmRmZuqUlJQ6lh4+0WgzHKTuyElISIha3enp6dxyyy0cOHCAV199lRkzZlBeXl7rePGaFr9Yt25dvdp+//33sVgsxMTEcM011zBmzBiGDx9O+/bt67W/82XE9wo0nbrP2bWitR6ute5dw0dViI8HrgPGaRnMKkSDpaen89RTT3Hs2DHmzZvHddddh81mO2OB6fNZwaguKioqKC0txe1288477/Cb3/yGTp06kZ6ezuTJk1mwYIEsYdeENXTUykjgQWCM1lquoAgRRiaTiauvvppFixZx+PBh/vjHP3LBBRfgcDgafYbEkpISKioqOHjwIDNmzGD8+PF07NiRtLQ07rzzTt5880327NkjNyI1EQ0dtfJ3IA74WCm1RSn1ShhqEkKcpU2bNkyfPp29e/eyZMkShg8fTmxsbKOMTT+b1pqioiIqKirIzc3lzTffZMqUKfTt25f4+HgGDx7MY489xpIlSzh27Fij1yN+qEETQ2itu4WrECHEuSmlGDp0KEOHDsXj8TB//nxefvllNm3aVOeFpcOhpKSk+vEXX3zB2rVrcTqdlJeX43A4uOiii7jyyiu55JJL6N27N927d49ofS1N+Gf4EUJEhMPhYNy4cYwbN44jR47w/vvvc/ToUQ4dOkQgEIjo1LeBQKD6TtLy8nLWrFnDl19+Wf0Xg8fjoX379lx44YVccskl9OzZk4yMDLp16ybdM2EgQS5EM5CcnMwNN9zA5MmT2b17N3PmzGH27Nnk5+dHPNSraK3PGHFz+PBhDh8+zCeffILT6cRsNlNWVsZll13GoUOHSE9PJyMjg4yMDNLS0ujYsSPJyckkJyeTkJAQ8WGRRiJBLkQz0717d5544gmeeOIJdu3axdtvv82//vUvcnNzUUo1idv1S0tLqx9rrcnNzSU3N5c1a9ZgNptxOByYzWaCwSDl5eUEAgHi4+NJTEykdevWJCUl0bZtW9q2bUurVq2Ij4/H5XLhdDpxOBzY7XbcbjcpKSlYrVbMZjMmkwmXy0VGRkb9C3/88e8fT5pU//2EmQS5EM3YhRdeyGOPPcZjjz1GTk4OCxcuZM6cOXz99dfYbLYmOad5IBA4ow++ysmTJzl58iT79+8/43mlVHVYm81mlFIopXC73cTExFQv/KG1pqSkhNjY2Br3XxePATarlSlTptTr8xuLBLkQLUTnzp2ZNm0a06ZNw+128/HHH/Puu++ybNkyAoFA9aRbRqO1rrFupRR+vx+32139nNVqrXeIAyhC88IHAoF676MxyDS2QrRACQkJ/PznP+ftt9/m5MmTrFmzhieeeILLL78cq9VKfHx8o6x21JyYTpyAa66BlBSw2SAtDe65B077xRGxWiLeohCiSVFK0adPHx566CHWrVtHUVERH3zwAQ8//DD9+vWrDnaLxRLtUqMuBrBqDRUV4PHATTfBokWwezfMmgWffAJ33x2VuoQQoprNZmPIkCEMGTKEJ598kvLycjZs2MDq1atZvnw5GzduJBgMYjabm2QfezhZgaeB24EEQme+RVoTv2ABwbVr4eab4dJLQxunp8OUKfCnP0W8TglyIcSPstlsDBo0iEGDBvHwww+jtWbfvn1kZ2ezZs0aVq9eze7du7FYLCilKCkpaTZjw/8XuBW4C9gHbARaA8GqPvLTl/HLy4P582HIkEiXKUEuhDg/Sim6du1K165dueOOO4DQSJPdu3ezZcsWNm7cSHZ2Njt27KCkpASHw4Hf7zfcghaxwGTg18CSyucWAWMAu8eDZ9gwrP/5n3D77bBwYair5brr4J//jHitEuRCiAYzm8307NmTnj17cvvtt1c/73a72blzJzt27GDbtm1s3ryZPXv2cOzYsTNu2VdKNbmz+K6EulbWnPbct8BeoEeHDhT/9rfEWSzw3HPw2GOhfvKHH4bp02HGjIjWKkEuhGg0CQkJZGVlkZWVdcbzwWCQw4cPs2fPHjZv3syIESPYtWsX+/fv5/DhwxQWFuL3+7HZbMTExFQvtFF1c1DUnX6XaYcOoY8LL4TWrWHwYHj00dAolgiRIBdCRJzJZCItLY20tDR69OhR4wINpaWlHD16lGPHjpGfn8/x48c5fvw4+fn5HDt2jBMnTnDy5EmKi4spLS3F4/FQXl6Oz+fD5/MRDAZRSp1xk9D5TP+7FygHBhLqH4fQOPKOQKC2lYGq9h/h8fgS5EKIJsnpdFb3xddHMBjE5/Ph9/vRWhMIBIiJiSE5OblOo23KgH8QGrVSAOwHRgMuwNuvH7aPPw5teOml4HLB9u3w299CVhZ0i+zEsBLkQohmyWQyYbPZsJ0+sgSqZ2msk/JyeOghlsydC6dOQdu2MGIE1pQUCmw2eOEF2LkztF1aWmhc+X/9V3i/kDqQIBdCiNrYbPD886GPs1Tk5cHYsREvqSZyZ6cQQhicBLkQQhicBLkQQhicBLkQQhicBLkQQhicBLkQQhicBLkQQhicBLkQQhicBLkQQhicBLkQQhicBLkQQhicBLkQQhhcWIJcKXW/UkorpZLCsT8hhBB11+AgV0qlASOAgw0vRwghxPkKxxn5c8CDQNNacE8IIVqIBs1HrpS6ATistf5anb6GXc3bTgImAaSmppKXl9eQps9bYWFhRNsLF6k7stxud8Tfm+Fi1GMudTfcOYNcKbUC6FDDS78DHiHUrXJOWuuZwEyAzMxMXdMafY0tGm2Gg9QdOQkJCYasu4pRa5e6G+acQa61Hl7T80qpi4ELgKqz8VRgs1JqgNb6aFirFEIIUat6d61orbcC7ar+r5TKATK11gVhqEsIIUQdyThyIYQwuLAtvqy17hyufQkhhKg7OSMXQgiDkyAXQgiDkyAXQgiDkyAXQgiDkyAXQgiDkyAXQgiDkyAXQgiDkyAXQgiDkyAXQgiDkyAXQgiDkyAXQgiDkyAXQgiDkyAXQgiDkyAXQgiDkyAXQgiDkyAXQgiDkyAXQgiDkyAXQgiDkyAXQgiDkyAXQgiDkyAXQgiDkyAXQgiDkyAXQgiDkyAXQgiDkyAXQgiDkyAXQgiDkyAXQgiDkyAXQgiDkyAXQgiDU1rryDeq1HHgQISbTQIKItxmOEjdkWXUusG4tUvddZeutW579pNRCfJoUEpt1FpnRruO8yV1R5ZR6wbj1i51N5x0rQghhMFJkAshhMG1pCCfGe0C6knqjiyj1g3GrV3qbqAW00cuhBDNVUs6IxdCiGZJglwIIQyu2Qa5UuptpdSWyo8cpdSWWrbLUUptrdxuY4TLrKmex5VSh0+rfVQt241USn2rlNqjlPqvSNdZQz3PKKV2KaW+UUotUEol1rJdkzje5zp+Silb5Xtoj1IqWynVOQplnl1TmlLqM6XUDqXUdqXUtBq2GaqUcp/2/vmfaNRak3N971XI3yqP+TdKqUuiUedZNfU47VhuUUoVKaWmn7VN9I+51rrZfwB/Bf6nltdygKRo13haPY8DD5xjGzOwF+gCWIGvgV5RrnsEEFP5+Gng6aZ6vOty/IApwCuVj8cCbzeB90YycEnl4zhgdw11DwUWR7vW+nzvgVHAUkABWUB2tGuu4X1zlNBNOU3qmDfbM/IqSikF3ArMjXYtYTQA2KO13qe1rgDeAm6IZkFa6+Vaa3/lf9cBqdGs5xzqcvxuAGZXPn4PuKryvRQ1WusjWuvNlY+LgZ1Ax2jWFGY3AP+nQ9YBiUqp5GgXdZqrgL1a60jflX5OzT7IgcHAMa31d7W8roHlSqlNSqlJEazrx0yt/NPyDaVUqxpe7wgcOu3/uTStH+i7CJ1Z1aQpHO+6HL/qbSp/QbmBNhGprg4qu3r6A9k1vHyFUuprpdRSpdRFka3sR53re9/U39djqf2EMKrHPCbSDYaTUmoF0KGGl36ntV5Y+fh2fvxsfJDW+rBSqh3wsVJql9Z6VbhrPd2P1Q38A/g9oTf97wl1C93VmPXUVV2Ot1Lqd4AfmFPLbiJ+vJsbpZQLmAdM11oXnfXyZkJ/+pdUXl95H8iIcIm1Mez3XillBcYAD9fwctSPuaGDXGs9/MdeV0rFAD8DLv2RfRyu/DdfKbWA0J/djfrmOlfdVZRSrwKLa3jpMJB22v9TK59rVHU43uOB64CrdGXnYQ37iPjxrkFdjl/VNrmV76ME4ERkyqudUspCKMTnaK3nn/366cGutV6ilHpZKZWktY76pFR1+N5H5X1dR9cCm7XWx85+oSkc8+betTIc2KW1zq3pRaWUUykVV/WY0AW7bRGsr6aaTu8TvIma69kAZCilLqg8UxgLfBCJ+mqjlBoJPAiM0VqX1bJNUznedTl+HwC/qnz8c+DT2n45RUplH/3rwE6t9bO1bNOhqi9fKTWA0M94U/gFVJfv/QfAnZWjV7IAt9b6SIRLrU2tf9k3hWNu6DPyOvhBn5ZSKgV4TWs9CmgPLKj8HsQA/9ZafxTxKs/0v0qpfoS6VnKA/wdn1q219iulpgLLCF1Jf0NrvT1K9Vb5O2Aj9CczwDqt9W+a4vGu7fgppZ4ENmqtPyAUmG8qpfYAhYTeS9E2EPglsFV9P5z2EaATgNb6FUK/dCYrpfyABxgb7V9AlWr83iulfgPVtS8hNHJlD1AGTIhSrWeo/MVzNZU/i5XPnV531I+53KIvhBAG19y7VoQQotmTIBdCCIOTIBdCCIOTIBdCCIOTIBdCCIOTIBdCCIOTIBdCCIP7/zAY2EpAP0+rAAAAAElFTkSuQmCC\n", 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\n" + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], "source": [ "df = gm.write_sparameters_meep(c, run=False)" ] }, { "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], + "execution_count": 9, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2022-11-13 19:51:52.779 | INFO | gdsfactory.simulation.gmeep.write_sparameters_meep:write_sparameters_meep:341 - Simulation loaded from PosixPath('/usr/local/google/home/jmatres/ubc/sparameters/ebeam_y_1550_1f494ca0.npz')\n" + ] + } + ], "source": [ "df = gm.write_sparameters_meep(c, run=True)" ] }, { "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "sim.plot.plot_sparameters(df, keys=['s21m'])" + "execution_count": 10, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
<Figure size 432x288 with 1 Axes>\n",
+       "
\n" + ], + "text/plain": [ + "\u001b[1m<\u001b[0m\u001b[1;95mFigure\u001b[0m\u001b[39m size 432x288 with \u001b[0m\u001b[1;36m1\u001b[0m\u001b[39m Axes\u001b[0m\u001b[1m>\u001b[0m\n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "image/png": 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\n" + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "sim.plot.plot_sparameters(df, keys=['s21m'], with_simpler_input_keys=True)" ] }, { @@ -194,9 +353,23 @@ }, { "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], + "execution_count": 11, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
2.8494636999424405\n",
+       "
\n" + ], + "text/plain": [ + "\u001b[1;36m2.8494636999424405\u001b[0m\n" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], "source": [ "ncore = sim.get_effective_indices(\n", " ncore=3.4777,\n", @@ -211,30 +384,106 @@ }, { "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], + "execution_count": 12, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2022-11-13 19:51:52.933 | INFO | gdsfactory.simulation.gmeep.write_sparameters_meep:write_sparameters_meep:341 - Simulation loaded from PosixPath('/usr/local/google/home/jmatres/ubc/sparameters/ebeam_y_1550_76acf988.npz')\n" + ] + } + ], "source": [ "df2d = gm.write_sparameters_meep(c, resolution=20, is_3d=False, material_name_to_meep=dict(si=ncore))" ] }, { "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], + "execution_count": 13, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
<Figure size 432x288 with 1 Axes>\n",
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3pVOo4NAK60D8e6Rpo1/ioyE9QzZNky+XP4Hb9ld81aOYfN7zZ3UADASPu461nz2EjPgYX/VIps18iZj4vp1ahoK8HWRvvwc9vJAw361Mm/2Ls67pHTx4kOjoaBITExFCBKikoSWlpLS0lOrqajIzM0+a5/N52LHhbY6XLsIWecwfJO5izOQbu1yt+Uwd2b+Z/Tn/wKMtR3dWY7hjcJizyRh8DUmpQ4iMTmyxVuD11HPsUDZFBZupqtqOjx3YIvPxuZJIjP4BY6fdit3uDMEedQ4VHE6j8PAutm2djy3qEFrd1Zz3rcc7vY3WMHys+uR+ZMRHyJoLuOCy57vUWcvmda9QWvcEpjuJCRP+1mn9ELnbV3Dg6P+A1MlM+z1Dx8wOyHp3797NiBEjekxgaCClJCcnh5EjR7Y43zB8bN/wFsdLFvlHePWjb+LdZE29uds2pxQd3cvWjb9Aj96KNHVk7WT69b+OYWPnnNFB3TRNcrZ8xJGjf8EWtR+fqw9J0XcwdvqtPbJvSwWHNnjdLtYt/zVG+L/x1WaQlfUsqRmjA1jC1rldtaz6zw/Ro9djq7+eGZc+3iWr/Pt3fsH+I/eBaWPE0EWkDz03qNvb8uWrlNT+P0x3csAD0u7du1s9gHZ37dk30zDI3vAWx0tetIJEdRYTp/yRpJRBnVTKs+f1uvnmiz9RK18GBJHiVsZMup3o+D4BWb9pmuzevJT8YwuxRR3EV9eHfsn3M2bK9QFZf1ehgkM77dz4HkdLHkVoXhLCf8bEGXcEoHStqy4v4ss1t6FH7iVK/IipF/0kqNs7W0cPZrNj1w/QbHUM6PuHoHQIm6bJV8t/R73tJXzV5zB91l+Jjk0O6DZ27dpF5tDhuDwGLq+By2Pg8ZnomkDXBDb/c8Pr6DA74Y6uF7Bb0pHAZxoGG9csotKzEKQgPvzHTDj/zi5fiziY8xV79z2MLTIPo/pcJk79XdD6DE3TZNemf3O08DlskXnY3Dcx45LfdMkTuDPRWnDo2v8CQmDUpO8wafwHmK7BVHgfZ8UH/43X7Wr7g2eguGA/X667Fi18P8mR/6/LBwaA/plZnDvpXUxPMvklP2bLur8HdP0+n4eVH/2IettLmDUXcNFlbwcsMFTWeXn+i1yueX4dBZX17DteTX55HeW1HgQQE2Yj3K6hCfAaJrVuH2W1Hgqr6tlXVM2+49UUV7vxGmab22qPxx9/nFGjRpGVlcW4ceNYv349CxcuZMiQIQghKCkpaVw2JyeHadOm4XQ6+cMf/hCQ7QNous7kWfMYN/p9zPrBVPqeZPkHN1J2/HDAthFIdbUVrPzofvYf/T7olSRHPsHsq/4R1MEkmqYx+txruejSj6H2MnzON1n+4S3UVVcEbZtdgao5tMIa7/8ovrC38dUMZuLkFwNa5d6b/RmHjj4Iwseg/n9iyJiLA7buzlBbVcralbdii95NuHkv02f/7KzXWVddwdrP70SP3oLd/V3Ov/Q3ATmDPVxax1/XHeTtjUeo8xiMT4/jwSnRjBg5gnC7jtOmnbbvwWeYVLi8lNd5cHkMBILoMBvxkXaiw+xoZ9Bv8dVXX3H//ffzxRdf4HQ6KSkpwePxcPz4ceLj45k1axYbN24kKSkJgKKiIvLy8njvvfeIj4/nZz9r/e99pk1mpmHwzarnqPK9gJQ6SZH3M276bV2mFpF/YAs7d81DDy9Gc13OlAsWEBkd36llME2Tb1Y9R7XxLIYrlXHj/4++acM7tQyB1lrNIWTDFIQQvweuAjzAfuB2KWWFf94vgB8ABnCflHJZZ5fPZnNwweVPkL1+PMe9C9i85RrSU58462YU0zRZ//kz1PIi0khhzOjn6TdwTIBK3XkiYxK58LK3WbXsblxRL7B86S6mzPjdGbf37s3+jINHfoUeWUas/iCT5tx91mXccricJWsO8smOAnRNcPXY/tw5I5ORqTHs3r2b+Airc3HBBzvZdayqXes0pcRnSnyGREqJpgnCWggu5/SL4dGrRrW6noKCApKSknA6rQ7ThiDQr1+/Fpfv06cPffr04aOPPmpXOc+EputMueg+Co9cwrYt91Nuf5wVH65hxuxnQ55Vdvv6f1JY+ShCC2Ngn0UhO5nSNI0pF85nz7Zh5BU8wLYd15NR+hTDx14WkvIEUyhPCT4DRksps4C9wC8AhBDnADcBo4DLgOeFECFr3MuacgOjR7yF9MWQXzqfdf95AtM8s2aF+rpqVnx4B3Xa88jaycy44INuGRgaOJwRXHTF33B4vg8Ra/nq68vYvv6fHVpHfV01Kz/8H46U3APSxqB+LzHpgrMLDEfK6vj+S+uZ+/yXrN5XzF0zB7PmwYv44w1jGZkac1br1oTAoWtEOHScdh0pJXVeA5/ZsRr4JZdcwpEjRxg2bBjz5s1j1apVZ1WuQEoZMILZVyzF6bsDEbmGVSuu4nj+npCUxTQMVn/6KEW1P8esH8Ckie91iVr28LGXMm7MO0hvPEeK57N+5V9CXaSA6xLNSkKIucB1Uspb/LUGpJRP+OctAx6TUn51unUEO32Gq7aStSvuQ4tai1F9LqOyfkn/zKx2f77wSA7btt6DHpFPuPEDps1+6Kyq69X1Xg6W1HKguJYDJbUcLq3Fa0gkkoavtOG5T4yTIX2iGJIcxZA+USRHOwM+hPNw7jfs3v0Qtsg8zJoZTJnxJFExSVRVlFNVXk5VRQW1VVXU1lRRW1OD2+3G491PbOqnhEVWUXzkHCqKp2AYGjT5JymRje+FJtCEhqYJNE1rfNhsNmw2G3abnSOVHrYeq8HAxqTBfZg4NIXY6CjCwyMJj4ogIjKKqNhY9h84GJDRSh6fyZHyOmrdPmLD7fSPD8fWzu/VMAzWrFnDypUrWbRoEb/73e+47bbbABg4cOBJzUoNHnvsMaKiooLSrNTiujZ/yJGiXwKS/kn/j1GTvh2Q9baH1cx4D3r0N1A7mxmXPNPl0oDU1VawdrlVxhj9Ac694J5QF6nDuvRoJSHEB8BbUsrXhBALga+llK/5570EfCKlfKeFz90F3AWQnp4+MS8vL6jlNE2TDSv/TLWxGM3mwaiewMDMuxgy+uJWD/RuVy27t75PUdVvQWqk932SEeM71jRlmJLs/ApW7ilm/YFSDpTUUlztbpyvCUiNDW8cTSOAhmO/lFBYWU+129e4fHSYjcHJUYxPj+OKMalMSI9H0zoWLGqrqjiWd5DCo0cpKTpOVVUVtXU1RCV8Q+rAnfh8dvbvm0xJ6UD/JyRCmGiagaYZ9E/bTVraLtzuCPbumUpVeV+QkoZStFQaeWJNIBqexYmd7YBLL72UjPT0k7YlBAgEQgh/IBKIxiCko+samm5D13V0mw1Ns5qTpJQU17g5XunGrgsGJEQQ6exYi+0777zDK6+8wgcffAB0neAA/ivlN92NHnGYMN+tTJ/9y6CP1Ck8vJtt2+5CDy8kWvsR586a32X6Pk7l9bpZ+fH30KK2kBLzZJdINdMRIelzEEIsB1JamPWwlPJ9/zIPAz7g9Y6uX0q5GFgMVs3hLIraLpqmMfXi/6Gq/GayNyymzvEuR0ru4eCHmfRJupXR596Ap76OQ3tWU1K0nnrfVrTw/Wi6D+nOZMKkF0nuN6Rd2yqv9bB6XzErc4pYva+EsloPQkBW/1hmDUtmUHIUmUmRDE6OJD0xAqet9R+rlJKiaje5RTXkFtWwr6ia3KIaXl9/mL+tO0RKTBiXj0nlyrGpjB8QhxAC0zQpyj/C4QP7rQBQUkxVdQ0ujwePBHnqVbVSopkGFTWjqSwbQMbQrxk5ag2G72uEZqBpzZvizOqLmTnrt1xxeVKzee1lmpJXvzrAnz7ZTpj0cfd5aczMjMFd78JdX0+9y0W9qw53fT3uejcejxuP241N07DrGlJaf5+GGpeJxP/CH3SM1jfuP7FqCMbJmsBnSEqLqqm224hw2tFtNnSbDZvNet1QY9uzZw+apjF0qHXtxtatW8nIyDjjv0MwJfcbygXxS1n72U9wR73M8g93ct6FzxEZkxiU7e345l2OlT2KsOuk93meYVnfCsp2AsVudzJj9hJWr7ieAuNXROxKZtA5M0NdrLMW0pqDEOI24G7gYillnX9al2xWaonbVUv2hlcpq34NW0QBhicSzV6HENLK41I3iDDbOJL6TGXYmEvbTKFsmpJV+4p5ed0h1uwrxpSQEOnggmHJzBqezMyhycRHBu4Kzep6L59u3Me69VspK8gnRtYSa/PhtIGp69D0TE2a2EyTMJtOZHg4sTExJCQl0ielHynpA+iT2h+b3d64uM/nYdOaRbjq8hDCgaY1eehOEpNHM2T0hWdV/uJqNz95awvrckuZMTSJ312bRf+49qWpbteFYqaJaRgYhoFp+PzPJqZpYJgm0jQxTatj2pSSk35JLdVmmgST7O3b+dWvf0VVVRU2m53Bgwbx3MKFvPPuu/zx6acpLCykT58+XH755SxZsoTCwkImTZpEVVUVmqYRFRXFrl27iIlp3ocSrAv8TozU+QuGO54hA59k8KhZAVu/NULwEXxh/8RXM8ifEbh9J1NdQVVZIV99eQ3CVsOYkf/otItoz1aXa1YSQlwGPA1cIKUsbjJ9FPAPYDLQD1gBDJVSnuYULrQpu03DYNfmpRQWfIDTkUGf1KlkDDuv3VlUq+u9vLspn1e+yuNgSS3J0U5unDSA2ef0ZUz/WPQONvk0K59pUpB3iLzcfRzLz6ekpISq2lrqDROzaQ1ASvD58HhNXKaNpKREpoweyrARQ+k3MBObzd76RjrZ1iMV3PPqJipcHh65chTfnTygQ/0owbxC2jBNDpdU4/F4SI6woSOtwGKa1kOaVo0F2gwimjjRv6LrutW/Yrdjs59cE+msfQM4sGsN+w4+iB5WjMN7M9Mufviscw+Vl+SzYd092KJ3I+ouZ8a3nuqW96MoOrqXrdk3Ik07k899l/g+A0JdpDZ1xeCQCziBUv+kr6WU9/jnPQzcgdXc9BMp5Sdtra873s+hYfz9O5vyqXH7GJ8ex23TBzJndCoOW8fbV+vr6ji0dw9HDh6gqLCAsvIKaurrcSNAO9HsJEwDJxAVEUZCfDwpqakMyBxCxrChOJxhHCiu4S+f5/Le1qOE23Vumz6QH84YFNBay9l465vD/Pq9nfSJcbLo+xMZ1S+2w+sI9gHUZ5ocKKrFa5oMTo4izN5ys59pmvi8HnxeLz6fD8PnwzA6HkSEEI2B5FBeHscP5BIVE01MbBwx8fHEJiYRl5gYsABfV1vBVysegKjP8dUMYez4P5MyYESLy7p9BtX1PhIjHS0Gs33bl3Mw/0GE7iIx8udMOO/WgJQxVPL2bmDvodsw3X05f9a/Ov1ajI7qcsEh0LpTcKh1+1i4MpeX1hxEIrkyqx+3Th/IuAFxbX62oS8gLzeXgvwjFJcUU1VTQ53XwND0kw4iuuEj3KYTGxVFcnIy/QYMIGPYcJJT+7Wrcy+3qJo/r8jlw+xjRDps3H7eQO65YHCHO1sDxeMzWfDBTl5ff5jzhyTxl++OP+OA1Rm5lTw+g9yiWjQBg/tEYdfPvEPVMAx/EPFh+Lz4fAamaWCa8uQgAuQdPsyyZa1cGmSaaNJEwxrIYNM09KYP3ep4t571xk53TQiE0Bo768HqqxHaDhIGrERoJiV551NWORKXx6Dea1DvtWqhXsMAJHZNEGbXcdoETl3DYTNISN5JauYW6uuiOZp7ET5Pk34MQePoNNG0BqVZNSi7vwblcNix2R04nU4iIqMIj4okMiqKyJhYomJiiIiK7vTO7Jwtn5Bf+mOM2hFcNOftLpVE81QqOHQBUkre33qMJz7ZzfEqN9dOSOPBy4bTN6b5P5zaqioO7t3D0byDFB0/TnlFBbX1bjwIZJNaAKaJA5NIp5P4uFj6pqQwYOAgBg4fTkRUYC5c2nu8mj8v38dH2wtIjQ3j0avO4dJRKZ2a0fR4VT3zXt/Mprxy7rlgMA9cOvysmts6K/FencfHgeJawuw6g5IiOzwqrKOklOzauZNIu43K8jKqKyuprqqktqYWV10dbo8Hr9drPQyr78Rnmo198BJrFJgUgPAfUNv4nh3OWoYPX0dc3HEqKvpSUpJOeVkq9XVRWPWahshldfbHxhWRnHKI5OQj2Oxeio8PYP+eKZjGybUa2fRZCBrrSR0doSYlwjTRkehCYNc1HHYbToeTiIhwoqKiiI6NJTYunrikJBKT+xCXlHzWAWXLulcoc/8GUTuHi65aeFbrCqazCg5CCA0Yi9UH4AJ2SCmLAl7Ks9DVg8OOo5U8tnQnG/PKyUqL5bGrR5GVGsWRA7kcOXiAwqNHKSsro7q2DlcLfQG6aRBm04mJjCQpKZHU/mlkDBlKanpGpyUA25RXzq/e28HugiouHJ7MgqtHk54Y/HHnX+4v4cdvbqWm3sfvr8/iyqyWryLuiM7Mylrp8pJXWktsuJ30hIigB9VA75vVV9LQGW9iGtawaFPCR9uPs3Dlfgor6/jJ8PUM6rMKR6R1aPC5krHLyST3uYDY+HQO5r5HvfkZtvBSTJ+T2sop7K6ezqI9qSREOfnvC4fwvanppx1511Aen9djBbu6OupdLtzuetx1ddTV1FBXV2uNUqtzUe+2RqnVu+txezx4vD4rKEowEMjWfjvSRDdN7ELgtNsIDwsjKjKC2Lg4EpKS6ZPan5QBaUTHnb7JaNXHv8QX9laXvgbijIKDEGIw8BAwG9gHFANhwDCgDlgEvCKlDEwmsrPQVYNDrcvDk2+tZsuOXfTTaxkSLdFMDy6vD98pzUDCMHBqEBUWRnxcHH1TU+ifMZCMYcOJiOy8W4Sejs8wefnLQzzz2V58pmT+RUP44cxBbf6gz4TXMPnT8r08/8V+MhMjef57ExiRcnZXODfo7JTdJdVujlW6SI5yktrOEVVnKtj7JqXk85winvp0D3uOVzO6fwwPXTaCGUOtBInH8/dwaN9/qKxahwjPRrNZ1+RIU8OsHUdy8tWMHPedxpQc245U8NSyHNblltI/Lpz7vzWM74zvf9YDMdrD43ZTVlxEeXERFaWlVFaUU11ZRXVNNXV1LlweNx6fia+VQCJMA5uUOBtH8UWTkJREct9UUtPTSUzpy6pPv4cWuZ1B/ZZ0ySGuZxoc3gBeANbIUxYUQvQBbgbKpZSvBLi8HRbK4FBXW0NB3iEKjxzheGEhZWUlVNXUUufx4hOnDAk1TeyYRDrsxEbHkNwnmX4DMkgfOpSE5D5d9kKfUxVW1vObD3fy8fZCBiVH8usrzmHW8OSAnRUfLq3jvje3sPVIBTdMSuPRq0YFtK8jFPdzOFruorTWzZDkKCKC2G8TzH2r8/iY9/pmvthTzMDECH526XAuH53aanOZ11PPwZw1VFccYvCoK4hLbL3Wt2ZfMU9+msOOo1UM7xvN764dw/j0rtOZW+9yUXT0CEXHjlJSVExFeZn/4k8X9V5vK9f/mIRpLsZMXIammVQc+S+SU4aQ0n8A6YOHEBMf+v1TfQ5nqLaqiqKCo5QeL6S8tIzKinKqqqqorqnF5fbgkfLkJiAA00Q3DVweSb20M3xgKmNHDmFA5qBObQbqDF/sKeKxpTs5VFrH1EEJ/GLOSMa2o2P9dN7fepSH/70DIeCJa8YEpBnpVKEIDoYp2XO8GoeuMTg5kt/+9rf84x//aOz4XbRoEc8++ywbN27EbrczefJkFi1ahN1uJycnh9tvv53Nmzfz+OOPd+oV0g1cHoM7Xv6G9QdLefiKc/ivaRln1cneEtOUfLyjgCc+zqG01s1zN0/g4pGde1vas2FlDsjj+LF8So4fp6y8jOqaWkz9OKMmfEZNbTzbs7+FlNYxQDN8ODRBVHgY8bGxJPXpQ//0DDKGDmuzyapBdXnRWd3g6IyDgxAiA6iVUpYIIaYC5wP7pZT/PuPSBMGZBoe3X1pMRUUFHo8Xj8+Lz7A66AwJhjh5CGgj/wVhTl0jMjycmOgoEhKTSE5JITUjk1d31rFozUGy0mJ5/pYJpMV3rXwwgebxmbyx4TDPrthHaa2HK7JSeeCS4QxMiuzQekpq3DzxcQ7vbs5nYkY8f7pxHAMSgvO3C9Wd4Mpq3eSXuyjcl82jv3yoWcrurVu3MmeOlV7l5ptvZubMmdx7772dkrL7dOq9Bne+spF1+0t4+oaxzB0f3Hubl9S4uePlb9h5rIrfzh3NjeemB3V7nWHb129QUvcr6kun47R/h+KiIsrLK6hxuZpfc4QVOMJ0jajwcBIS4umbkkrawEGNQ84B1i77DXXGe0yc+K8zvqfFGaXPEEI8AtwKSCHEm1h9D18AVwghLpBS/uSMStOF5OYdxotAkxIdsOkaYXYbDps1miEqOoqYmFjiEhJI7NOXpJQUq/mnhbP/4mo389/YzNcHyrhlSjqPXHVOUNriuxqHTePW6QO5ZkJ//m/1Af5vzUGW7Sjklinp3DI1g0FJkdhaOcOsrvfyn53HeX/bMdblliCl5L6Lh3LfRUNa/UzAffJzKNwe2HWmjIE5v2s2OT7CQUmNh5wDh0lMPH3K7smTJ5Ofnw90Tsru1tR7DX74dysw/OG64AcGgKQoJ2/8cCr3vr6Zh97dzvEqN/MvGtKt7/k9dup3WfVxNmGJbxOrn8/s79x70vy6mmoO5+ZyNO8QxwsLGgNHSU0tRS43OUcLYdMWkBKbaZCevpP+g7OpKRuBI6zj1/q0pa2Gz5uAkUAEcBhIkVLWCSFswNaAlyYEfv5YYG4ok1NYxa1/3UCly8sfrx/LtROD/wPqaqLD7Nx/yXC+NzWDP63Yx2vrD/PKV3k4bBrD+kYxMiWGkanWo9LlZem2o6zYXYTbZ5IWH87dMwcxd3x/hvYN7b0DgkkIQWpsGJPPn8XiP/+eYcOGMXv2bG688UYuuOCCxuW8Xi+vvvoqf/7zn0NYWisw3PXqJtbmlvDktVmd+u860mnjpVsn8dC72Tz92V6OV9Xzm2+P7pSO6mA5/9L/ZcWHeymPeJqcrekn3R8mIiqaEePGM2Lc+GafqygtIW/fXo4dPkzR8eOIsNX0H5zN8cJM9u6ZwOXfCfx1FG0Fh3oppQfwCCH2N+Q/klL6hBCegJcmBAIRGHYXVHHLkvU4dI1/zzvvrO8Z0N31iQnjt3PHcO8Fg/nmUBm7C6rYXVDN5zlF/HNTfuNySVEObjp3AFeP68+E9LjQnRW2cIYfTNFhdlIS4/nHhysp2reVNatXceONN56UsnvevHnMnDmTGTNmdGrZmnL7DO59bROr9xbz5LVjuGFS56eCsOsaf7x+LH1jwnjhi/0UV7t59rvjW73ivKvTdRvTZr3Il6uvI7/kx9SsPsKkmXe1+bm4xCTiEpMYO3U6X372O1z6VmTNBVx/3QuUFhYSFh74EXBtBYc4IcQ1WFeyxPhf438f+HpMN7TrWBW3LPmaMLvOGz+c2uF29p5sQELESX0GUkqKq93sKqjCrmtMyUzovKajLiYlNozqeh8jJ0xl9sUXMWbMGF555RVuu+02FixYQHFxMYsWLQpZ+UxT8t+vb2blnmKeuGZMSNv8hRA8dNkI+kY7WfDhLu5+dRN/u+3coF9QGCzRscmcP+s91n1+B5Xak6z6+CAzLv1/7Rqo8uVnT+LS/8+6v/oVi9F1Gynpwcnm21ZwWIV1K0+A1U1eN7zv1XYeq+SWJeuJsOu8cddUMhJVYDgdIQR9YsLo08IV4b1N3oFcKmo80HcAiVHOxpTdS5YsYdmyZaxYsSKkw5rf3niE5buLeOTKc/ju5K7RGXzbeZnousav39vBcytzmX/x0FAX6YxFRsdz4eVvsubTn+KLfJsVHx5hxiUvnjZZ55fL/4BLX4xZM4MLL38R/dRRkgF22rVLKW8P6ta7sR1HK/neS1ZgePOuaZ1ypbDSc9TU1PDgj+ZTVFqG3W7jnOHDWLx4MSkpKWRkZDBt2jQArrnmGh555JFmKbv/9Kc/tZqy+2xV1nl5atkezh0Yz+3nDQz4+s/G96aks+lQGc8s38vEjHimDznze4GEmt3uZNYVz7L+86epjXqRVZ9dy+TpLxGfZPXreL1uCg5lc/zYJiorv0FEfYFZcz4XXr4Ymy34STDbGq10/+nmSymfDmxxuocdR60aQ5TTxhs/nKoCg9JhEydO5KuvvqS42k1BpYvMpEiiw+z4fL4Wl09JSWkcuRRsT3+2h4o6D49dPbnLjQ4SQvD43DHsOFbFfW9u5eP7zu/WNVFN05g2+2ds3zCQQuPXbFh/DQ45DY+ZgxZ+CE33pypxRGKru5wLL/9jpwQGgLbqrdH+xyTgXqC//3EPMCG4ReuaGjqfo5w23rxLBQbl7CRGOXDYNAoq6+kKF6TuLqji1a/zuGVKxhmlQu8MkU4bL9wygVq3j/lvbMFnhDx7z1kbM/k6hg38GyDxOT4D6cDu+TaJ4b9h9LCPmX3JVi668i+dFhig7WalBQBCiNXABClltf/9Y0DnD7gOsbJaD3e+spFwu86bd00N2gVaSu+hCUFKTBiHy+qorvcREx66GypJKXl06U5iw+389JJhIStHewztG83jc0dz/9vbePqzvTx4Wcv3kuhOMoZNZcDgr5HIoPcntEd7e7z6Ak2Hrnr803oNn2Hyo39sprjGzaLvT1SBQQmYmHA7uiaocHlDWo4PsgvYcLCMn106nLiIrnFjp9O5ZkIa3508gOe/2M/KnC6VJPqMabreJQIDtD84/B3YIIR4zF9rWA+8HKxCdUVPfJLDl/tLeWLumLPOHaQoTWlCEBtup8rlxTBD07RU6/bx2492M7p/DDd1o1QVj141ipGpMfzP21s5WuEKdXF6lHYFBynl48DtQLn/cbuU8olgFqwr+dfmfF5ae5Dbpg/slVc+K8EXF+HAlJLq+tDUHhauzKWwqp4FV4/qVlcgh9l1nr9lAj5Dct8bWzBDFFx7otMGByFE46BbKeVmKeWf/Y8tLS3TE23Pr+QX/9rO1EEJPHxF5ydqU3qHSIeOXdcor+v84HCwpJYlaw5wzfj+TMxI6PTtn63MpEgeueocNuWV8/GOglAXp8doq+bwvhDij0KImUKIxiu8hBCDhBA/EEIsAy4LbhFDp6TGzd2vbiQpyslzN08IeHpipXd7/PHHGTVqFFlZWYwfP54Du7bw0x/dQ9bYsWRlZXHddddRU1MDwOrVq5kwYQI2m4133nknoOX4zQc7cdp0fj6n+3bqXjshjREp0fx+2R68PWD0Uldw2qOdlPJiYAVwN7BTCFElhCgFXgNSgFullIH9l9pFeA2Tea9vprTWw6LvTyQxyhnqIik9yFdffcWHH37I5s2byc7OZvny5YwYPIifPfo4K9dtIDs7m/T0dBYutO49nJ6ezssvv8zNN98c0HJ8faCUlXuK+fHFQ7v19QK6ZqXYyCut480Nh0NdnB6hzW5xKeXHwMedUJYu5alPc9hwsIw/3TiO0f275nhvJTCe3PAkOWU5AV3niIQRPDT5oVbnFxQUkJR0csruxESJUVRDeZ2XhEgHLper8SK0gQMHAoFJFNnUe1uOEunQ+f604OTn6UyzhiczJTOBP6/YxzUT0gJ658DeSLWTtGDDwTKWrD3I96am853x/UNdHKUHuuSSSzhy5AjDhg1j3rx5rFq1CiEEceF2fvqju0lJSSEnJ4f58+cHrQwen8knOwq5ZFRKt81y2pQQgp/PGUFJjYclaw6Gujjdngqtp3B5DB58Zxtp8eH8Yo7qgO4NTneGHyxRUVFs2rSJNWvWsHLlysaU3Td/7/v879PPkRxp538ffoC33nqL228PToqzNfuKqXR5uWpsalDWHwrj0+OZMzqFxav3c8vUdJJUc/AZUzWHU/x+2R4Oldbx1LVjVbVUCSpd15k1axYLFixg4cKFvPvuuzhsOpEOG9VukxtvvJF33303aNtfuu0YseF2zh+SHLRthMLPLh1Ovc9k4ee5oS5Kt6aCQxMbDpbxty8P8l/TMpg2ODHUxVF6sD179rBv377G91u3biU9PZ3c3FziIuy4vD7+/d77jBgRnBFELo/BZ7uOc/mYFBy2nnUYGJwcxQ2TBvD6+jzySmtDXZxuq62srCuB9lxV8rKU8u+BKVJoNG1OeqgH5GlRuraamhrmz59PRUUFNpuNIUOG8OKLLzJ37lwqq6qo9xhkjc3i5SWLAfjmm2+YO3cu5eXlfPDBBzz66KPs3LnzjLf/eU4RdR6Dq7L6tb1wN/ST2UP595Z8/vifvTz73ea33VTa1la7yW3tXE/F2RUj9J5alsOh0jre+OFU1ZykBN3EiRP58ssvm01ft24dAIdKanF5DaKjrftpn3vuuQFN2b1021GSo51MGdQza8h9Y8L4wfmZPLdyP3fNHKRGHJ6Btq5zyDv1AVQBh0+ZXtk5xQ2ODQfLePnLQ9yqmpOULiIuwo7XMKn1GAFfd1W9l5V7irliTGq3SpXRUXdfMJi4CDtPfhrYYcq9RVvpMx4RQozwv3b6m5n2A8eFELM7o4DBVufx8cA72xgQH8FD3fgKUaVniQ6zowlBRZ2n7YU76D87j+PxmVw9rmc2KTWICbPzowuHsGZfCdvzu/X5a0i01RN1I7DH//pW/3MycAHw22AVqjP9ftke8krrePLaLCIcqjlJ6Rp0TRATbqfS5cUM8E2APth2jLT4cMb3guzC108agNOm8c9NR0JdlG6nreDgkSduT3Up8KaU0pBS7qYHXCPhNUxyCqpVc5LSJcVF2DFMSU19y7cOPRNltR7W5pZw1dh+Xe4WoMEQG27n0lEpvL/1GG5f4JvoerK2goNbCDFaCJEMXAj8p8m8bn+3G7uu8fqdU/ilyraqdEFRThsCQZ0ncMHh4+0FGKbssaOUWnL9pDQqXV6W7+oZNwTqLG0Fh58A7wA5wDNSyoMAQojLgS2n+Vy3oWkCp637pw5Qeh5NCJx2DZc3cFlGP9h2jMHJkYxMjQ7YOru66YOTSI0NU01LHdTWaKWvpZQjpJSJUsr/bTL9Yynld4NfPEXpuZqm7B43bhzr169n4cKFDBkyBCEEJSUlRNh1XB6D1157jaysLMaMGcP06dPZtm1bh7dXWFnPhkNlXD22f69oUmqga4JrJ6Sxem8xx6vqQ12cbqOti+Dae7/ACillVQDKoyi9QtOU3U6nk5KSEjweDw6HgyuvvJJZs2YBEObQKavzMCB9IKtWrSI+Pp5PPvmEu+66i/Xr13domx9mH0NKelQupfa6dmIaC1fm8q/NR7l31uBQF6dbaKtT+ZV2rENi3U+6W18hrfRehb/9Le7dgR0L7xw5gpRf/rLV+S2l7Abo1+/kvoBwf7bU8edOISbcDsDUqVPP6IK4D7ILGN0/hkHJPfrmjS3KTIrk3IHx/HPTEe65YFCvqjmdqbaalS5sx+OiM0mdIYT4XyFEthBiqxDiP0KIfv7pQgjxrBAi1z9/wpnunKJ0VS2l7G5JmF1HAC7viZE2L730EnPmzOnQ9vJKa9l2pKJXdUSf6rqJaRwormXLkYpQF6VbCOVw1N9LKX8NIIS4D3gEuAeYAwz1P6YAL/ifFSUoTneGHyytpey+7bbbTlpO9w+YcPmvlF65ciUvvfQSa9eu7dD2Pt1RCMCVY3tvcLgiqx+PLd3FPzfmMyE9PtTF6fJClo7xlD6KSE4k+Ps28Hdp+RqIE0L0vkZSpcdrKWV3S8IdOi6vQXZ2NnfeeSfvv/8+iYkduy5n+9FK0uLD6R8XHoiid0tRThtzRqfw4bZj1HvVNQ9tCWmuXiHE40KII8AtWDUHgP5A0zFn+f5pLX3+LiHERiHExuLi4uAWVlECqKWU3RkZLd+qM8yuc/hwHtdccw2vvvoqw4YN6/D2cgqrGZESc8bl7Smum5RGtdvHsp2FoS5KlxfU4CCEWC6E2NHC49sAUsqHpZQDgNeBH3V0/VLKxVLKSVLKScnJPeuGJUrPVlNTw6233so555xDVlYWu3bt4rHHHuPZZ58lLS2N/Px8srKyuPPOOwl36Cz60+8pKS1l3rx5jBs3jkmTJrV7W/VegwPFNb3q2obWTM1MJC0+nH9uDFyG254qqH0OUsr2Jud7HfgYeBQ4CgxoMi/NP01ReozWUnbfd9993HfffSdNM0yTx37/LC8uWkyfmLAOb2vf8RpMiao5YF30eu2ENJ79fB9HK1y9upmtLSFrVhJCDG3y9ttYV2EDLAX+yz9qaSpQKaUs6PQCKkoXoWua1Sl9hu3kuwut7j1Vc7BcNzENKeFfm1Tt4XRC2efwO38TUzZwCfBj//SPgQNALvB/wLwQlU9Ruoxwu9Y4YqmjcgqqCbNrZCRGBrhU3dOAhAimDkrgnc35yABnvO1JQjaUVUp5bSvTJfDfnVwcRenSwhw6FS4vPsPEpnfsnC6nsIrhfaN79I19Our6iQP46T+3sTGvnHMHJoS6OF1Sz7qzuKL0UA1XSnd0CKaUkt0FVYxMVf0NTV0yqi+agDX7SkJdlC5LBQdF6QYagkNH+x2Kqt2U13kZkaL6G5qKDrMzql8s6w+UhrooXZYKDorSDdh0DYfe8X6H3QVWZ/QIVXNoZnJmAluOVHTrmwAdr6rnH+sPB2XdKjgoSoi0lLL7lltuYfjw4YwePZo77rgDr9cLwOuvv87c2dOZff7kDqXs3l1QDcBINYy1mcmZCXh8Jtnd8P7SdR4ff1q+l1m//4LHlu6koNIV8G10+1t9Kkp31FrK7ltuuYXXXnsNgJtvvpklS5Zw7733kpmZyfsff0a9Hs7hbevanbI7p7CKfrFhxEbYg71L3U5DR/SGg2XdplPaMCXvbsrnD//ZQ1G1m8vHpPDQZSNIjQ389RoqOCi93pq391JypCag60waEMWMG1pPc9GelN2TJ09uTM09ffp0quq9HCqpZezEye1O2Z1TUK2alFqREOlgWN8o1h8s478vDHVp2rZ2XwmPf7yb3QVVjE+P44XvTWBiRvCCmmpWUpQQaCtlt9fr5dVXX+Wyyy5rnNbQKd3elN1un8F+lTbjtCZnJrDpUBk+I3C3Yg20XcequO1vG/jeS+uprvfyl++O51/3Tg9qYABVc1CU057hB0tbKbvnzZvHzJkzmTFjRuNn7LrG5q/X8vorL/P1V+va3EZuUQ0+U6q0GacxJTOR174+zK6CKrLS4kJdnJMcLq3jj5/t4f2tx4gNt/OLOSO4dfpAwuydc897FRwUJUQaUnbPmjWLMWPG8Morr3DbbbexYMECiouLWbRo0UnLZ2dn8+gD97H49XfalbI7p6EzWtUcWjU50zr7Xn+grMsEh+JqN3/5fB//WH8Ymy6YN2swd18wmNjwzu03UsFBUUJgz549aJrG0KFWirGGlN1Llixh2bJlrFixAk070ep7+PBhrrnmGhYufol+6YMwTYnWxhXPOYVVOG0aA1XajFb1jQljYGIE6w+W8cOZg0JaFtOUvLBqP8+tzMXtM7np3AHcd/FQ+p5BssVAUMFBUUKgpqaG+fPnU1FRgc1mY8iQISxevJiUlBQyMjKYNm0aANdccw2PPPIIv/nNbygtLeXhn/4Ej2ESEeZg86ZNp93G7oJqhvWN7nC6jd5mcmYCy3Yeb1fADZY6j4/739rGpzsLmTM6hQcvG0FmUmiDugoOihICraXs9vl8LS6/ZMkSlixZgsdnWsNT25FqOqewiguH9znrsvZ0kzMTeXtjPnuLQnNDpMLKeu78+zfsOlbFI1eew+3nDUSI0OfBUsFBUboRuy6waRr1bVwpXVztpqTGo4axtsOUzBPXO3R2cNhxtJIfvPINNfU+ltw6iYtG9O3U7Z+Oqm8qSjcihGi8p/Tp5Kh7OLRbWnw4/WLDWH+wrFO3++mOAq5/8Stsmsa786Z3qcAAquagKN1OuF2juN6HKSVaK80PjTmV1DDWNgkhmJyZwNrcUqSUndKk88IX+3ny0xzGp8ex+PuTSI52Bn2bHaVqDorSzYTbdSTytOm7cwqq6RvjJCHS0Ykl674mZyZSUuPmYElt0Lf1ec5xnvw0hyuzUnnjh1O7ZGAAFRwUpdsJc7Sdvnt3YbW6h0MHTG7S7xBM9V6Dx5buYnByJE/fMK7TLmg7Eyo4KEo349A1dE1Q5fK1eJtLKSW5IRp5010NTo4kMdIR9OCwePUBDpfVseDq0ThsXfvw27VLpyg9WEspu3/wgx8wduxYsrKyuO6666ipsRICPv3005xzzjlkZWUxe/Zs3OXHqa73UuHyNluvz5R4Dak6ozugod8hmJ3SR8rqeG5lLpePSeH8oUlB206gqOCgKCHQNGV3dnY2y5cvZ8CAATzzzDNs27aN7Oxs0tPTWbhwIQDjx49n48aNZGdnc9111/Hkb35NhMPGsQoX3lOSxjW8V81KHTM5M4GjFS7yy+uCsv7/99EuNCH41RXnBGX9gaZGKym93sqXF1OUdyCg6+yTMYgLb7ur1fmtpexuIKXE5XI1jpy58MITOaWnTp3Ka6+9Rlp8OPuKajhW4SKjSYoMryFx6FrIr7DtbqZkWvmqvjlURlp8REDXvWpvMct2HueBS4e36wLGrkDVHBQlBE6Xsvv2228nJSWFnJwc5s+f3+yzDSm7w+w6fWOcVLq8VNR5Gud7DZMhfaKwq7QZHTI8JZqYMBvrDwS2acntM3hs6U4ykyK5c0ZmQNcdTKrmoPR6pzvDD5bTpez+29/+hmEYzJ8/n7feeovbb7+98XOvvfYaGzdubAwmyVFOKuu8HKuoJ8ppw6Zr/v4G1aTUUbomOHdgQsA7pV9ae5CDJbW8fPu5OG1dd3TSqdSphaKESEPK7gULFrBw4ULefffdk+bddNNNJ01bvnw5jz/+OEuXLm1sjhJCkJYQgSElxyrr8Rkmhqk6o8/U5MwEDpTUUlRdH5D1Hatw8ZcVuVxyTl9mdbM8Vyo4KEoI7Nmzh3379jW+37p1K+np6eTm5gJWn8PSpUsZMWIEAFu2bOHuu+9m6dKl9Olz8kEm3K7TJ9pJRZ2Homo3oK6MPlMN1zt8c7A8IOt7/KPdmFLy6yu7Ryd0U6pZSVFCoKWU3S+++CJz586lqqoKKSVjx47lhRdeAOCBBx6gpqaG66+/HoD09HSWLl3auL7kaKvvoaTGCg6q5nBmRvePJcyusflwOVdkpZ7VujbllfPR9gLu/9YwBiQEtoO7M6jgoCgh0FrK7nXrWr795/Lly0+7Pk0I0uLD2V9Ui64JEqO6ZkqGrs6ua2QkRJJXevZpNP6zqxC7Lrjj/O7TCd2UalZSlB4iwmGjX1wYUU51znc2MhIjyCs9+2sd1u4rYUJ6fLf9PlRwUJQeJDHKSXRY9zwYdRUZiREcLqvDNJunJmmvkho3O49VMaMbXAndGhUcFEVRmkhPjMTtMxs798/EutwSAGYMTQ5UsTqdCg6KoihNZPg7j8+m32HNvhJiw+2M7h8bqGJ1OhUcFEVRmshI9AeHsjPrd5BSsnZfCecPSULXQn8v6DOlgoOiKEoT/eLC0TXB4TPslM4tqqGwqr5bZF49HRUcFCVEWkrZvXDhQoYMGYIQgpKSksZl33///cblJk2axNq1a0NY8p7Nrmv0jws/45rDmn3W93b+kO4dHNSwBkUJgaYpu51OJyUlJXg8HhwOB1deeSWzZs06afmLL76Yq6++GiEE2dnZ3HDDDeTk5ISm8L1ARmIEh8+wz2HNvmIykyK75YVvTangoPR6FR/sx3MssPcOdvSLJO6qwa3Oby1ld79+/VpcPioqqvF1bW1tYypvJTjSEyL4aHtBhz/n9hl8faCM6yelBaFUnUs1KylKCJwuZXdr/v3vfzNixAiuuOIK/vrXv3ZCKXuvjMQIKuq8VLZwp73T2ZxXgctrdPsmJegCNQchxE+BPwDJUsoSYZ0S/Rm4HKgDbpNSbg5lGZWe7XRn+MFyupTdrZk7dy5z585l9erV/PrXv24zpYZy5tITrBslHS6tY0xa+4ejrtlXjK4Jpg1ODFbROk1Iaw5CiAHAJcDhJpPnAEP9j7uAF0JQNEUJutOl7D6dmTNncuDAgZM6rJXAOjGctWPNjWtzSxg/II7oMHswitWpQt2s9AzwIND0OvVvA3+Xlq+BOCHE2aVHVJQupqWU3RkZGa0un5ubi5TWz2Tz5s243W4SE7v/2WlXld54IVz7RyyV13rYfrSyW18V3VTImpWEEN8Gjkopt53SudYfONLkfb5/WrPeISHEXVi1C9LT04NXWEUJsJZSdi9evJhnn32Wp556isLCQrKysrj88stZsmQJ7777Ln//+9+x2+2Eh4fz1ltvqU7pIIp02kiKcnboWod1+0uQkm5/fUODoAYHIcRyIKWFWQ8Dv8RqUjpjUsrFwGKASZMmnXmWLEXpZK2l7L7vvvu47777mk1/6KGHeOihhzqjaIpfRmJEh5qV1uwtITrMxtgO9FF0ZUENDlLK2S1NF0KMATKBhlpDGrBZCDEZOAoMaLJ4mn+aoihKp8lIiODrA6XtWlZKydrcEqYPTsSmh7q1PjBCshdSyu1Syj5SyoFSyoFYTUcTpJSFwFLgv4RlKlAppez4gGNFUZSzkJ4YQUFVPW6f0eayB0pqOVrh4vwe0t8Aoe+QbsnHwAEgF/g/YF5oi6MoSm+UkRiBlHCkzNXmsmv9KTNm9pD+BugC1zkA+GsPDa8l8N+hK42iKEqTax3KahnSJ+q0y67ZV8yAhHAyEiM7o2idoivWHBRFUUKu8VqHNkYseQ2Tr/aX9pghrA1UcFAURWlBYqSDSIfeZnDYcriCWo/BjB6QMqMpFRwUJURaStl9yy23MHz4cEaPHs0dd9yB12vl9lEpuzufEIL0xEgOt5G6e+2+YjQB0wer4KAoyllqmrI7Ozub5cuXM2DAAG655RZycnLYvn07LpeLJUuWAFbK7m3btrF161b++te/cuedd4Z4D3qHjISINm8XumpvMeMGxBEb0f1TZjTVJTqkFSWUPvnkEwoLCwO6zpSUFObMmdPq/Pak7J48eTL5+fmAStkdKhmJEXy+pwjTlGgt3PKzrNZD9tFKfnzx0BCULrhUzUFRQqCtlN1er5dXX32Vyy67rHGaStnd+dITI/D4TAqr6lucv2ZfMVLCBcN6Vmc0qJqDopz2DD9Y2krZPW/ePGbOnMmMGTMaP6NSdne+DP9w1rzSOvrFhTebv3pvCXERdrLS4jq5ZMGnag6KEiKtpexesGABxcXFPP300y1+TqXs7jwNw1kPt5BjSUrJ6n3FnD8kCb2FJqfuTgUHRQmB1lJ2L1myhGXLlvHGG2+gaSd+nipld2ikxoZh00SLw1l3F1RTXO1mZg9sUgLVrKQoIdFayu6UlBQyMjKYNm0aANdccw2PPPKIStkdIjZdIy0+nLwWhrOu2lsM9Mz+BlDBQVFCorWU3T6fr8XlVcru0ElPjGzxvg6r9xYzIiWavjFhIShV8KlmJUVRlNNo6VqHWrePjXllPbbWACo4KIqinFZGYgRV9T4q6jyN077aX4rXkCo4KIqi9FYt3U969b5iwu06EwfGh6pYQaeCg6Ioymk0pOFu2im9am8x0wcn4rTpoSpW0KngoCiKchoNNYfD/n6HQyW15JXW9dghrA1UcFAURTmNcIdOn2hnY7PS6n09ewhrAxUcFCVEWkrZ/YMf/ICxY8eSlZXFddddR01NDQAvvvgiY8aMYdy4cZx//vns2rUrxKXvXTISI04Eh73FpCdEMDCp59z1rSUqOChKCLSWsvuZZ55h27ZtZGdnk56ezsKFCwG4+eab2b59O1u3buXBBx/k/vvvD/Ee9C7pCZHkldXi8Zl8ub+0x9caQF0Epyjs3fu/VNfsDug6o6NGMmzYr1ud31rK7gZSSlwuV+NV0DExMY3zVMruzpeRGMG7m92syy2hzmP0+P4GUDUHRQmJ06Xsvv3220lJSSEnJ4f58+c3Tn/uuecYPHgwDz74IM8++2woit1rNSTge+3rPOy6YNrgnp/XSjQk8+ruJk2aJDdu3BjqYijdxO7duxk5cmRIy2AYRmPK7kWLFp2UstswDObPn8+5557L7bffftLn/vGPf7Bs2TJeeeWVFtfbFfatp9lyuJy5z3+JEDAlM4E375oW6iIFjBBik5Ry0qnTVc1BUUKktZTdDfNuuummk6Y1uOmmm3jvvfc6saRKw7UO1o19+oS4NJ1DBQdFCYGWUnanp6eTm5sLWH0OS5cuZcSIEQAnLfvRRx8xdGjPuy1lVxYfYSfaaXXR9obOaFAd0ooSEi2l7H7xxReZO3cuVVVVSCkZO3YsL7zwAgALFy5k+fLl2O124uPjW21SUoJDCEF6YgRF1W5GpkaHujidQgUHRQmB1lJ2r1u3rsXl//znPwe7SEob5l80BK8he81IMRUcFEVR2uGy0amhLkKnUn0OiqIoSjMqOCi9Vk8Zxt1UT9wnJTRUcFB6pbCwMEpLS3vUwVRKSWlpKWFhPfO2lUrnUn0OSq+UlpZGfn4+xcXFoS5KQIWFhZGWlhbqYig9gAoOSq9kt9vJzMwMdTEUpctSzUqKoihKMyo4KIqiKM2o4KAoiqI002OysgohioG8M/x4ElASwOJ0B2qfe4fets+9bX/h7Pc5Q0rZLGFUjwkOZ0MIsbGllLU9mdrn3qG37XNv218I3j6rZiVFURSlGRUcFEVRlGZUcLAsDnUBQkDtc+/Q2/a5t+0vBGmfVZ+DoiiK0oyqOSiKoijNqOCgKIqiNNMjg4MQ4q9CiCIhxI4m0x4TQhwVQmz1Py5vMu8XQohcIcQeIcSlTaZf5p+WK4T4eWfvR0d0ZJ+FEN8SQmwSQmz3P1/U5DMT/dNzhRDPii5826uOfs/++elCiBohxM+aTOuR37N/XpYQ4ishxE7/9xrmn94jv2chhF0I8Yp/33YLIX7R5DPd+nv2T58vhMjxf59PNZke+GOYlLLHPYCZwARgR5NpjwE/a2HZc4BtgBPIBPYDuv+xHxgEOPzLnBPqfQvQPo8H+vlfjwaONpm3AZgKCOATYE6o9y0Q+9xk/jvAPxuW6eHfsw3IBsb63ycCek/+noGbgTf9ryOAQ8DAHvI9XwgsB5z+9338z0E5hvXImoOUcjVQ1s7Fv431j8ktpTwI5AKT/Y9cKeUBKaUHeNO/bJfUkX2WUm6RUh7zv90JhAshnEKIVCBGSvm1tP7V/R34TlAKHAAd/J4RQnwHOIi1zw167PcMXAJkSym3+T9bKqU0evj3LIFIIYQNCAc8QBU943u+F/idlNLtX6bIPz0ox7AeGRxO40dCiGx/lS3eP60/cKTJMvn+aa1N725a2uemrgU2+//B9cfazwY9Zp+FEFHAQ8CCU5btyd/zMEAKIZYJITYLIR70T++x3zNWzbAWKAAOA3+QUpbRM77nYcAMIcR6IcQqIcS5/ulBOYb1puDwAjAYGIf1D+ePIS1N5zjtPgshRgFPAnd3esmCp7V9fgx4RkpZE5piBVVr+2wDzgdu8T/PFUJcHIoCBkFr+zwZMIB+WE0sPxVCDApFAYPABiRgNQc+ALwdzL6iXnOzHynl8YbXQoj/Az70vz0KDGiyaJp/GqeZ3i2cZp8RQqQB/wb+S0q53z/5KNZ+NuhJ+zwFuM7fiRcHmEKIemATPfd7zgdWSylL/PM+xmrHfo2e+z3fDHwqpfQCRUKIdcAkrDPobv09Y32f//I3BW4QQphYSfeCcgzrNTUHfztrg7lAwyiApcBN/jb3TGAoVmfdN8BQIUSmEMIB3ORftttobZ+FEHHAR8DPpZTrGhaQUhYAVUKIqf4zkv8C3u+8Ep+91vZZSjlDSjlQSjkQ+BPwWynlQnrw9wwsA8YIISL8bfAXALt68veM1ZR0kX+ZSKyz7Bx6wPcMvIfVKY0QYhhWJ3MJwTqGhbpXPkg9/W9gVTW9WNH2B8CrwHas0RtLgdQmyz+M1au/hyajNoDLgb3+eQ+Her8Ctc/Ar7DaZbc2eTSMfJiE9UPbDyzEfxV9V3x09Htu8rnHaDLSpad+z/7lv4fVAb8DeKrJ9B75PQNRWKPRdgK7gAd60PfswKr17QA2Axc1WT7gxzCVPkNRFEVpptc0KymKoijtp4KDoiiK0owKDoqiKEozKjgoiqIozajgoCiKojSjgoOitIMQ4gshREBv4i6EiBNCzGvyfpYQ4sPTfabJsn8SQswMUDneFEIMDcS6lJ5DBQdFCZ04YF5bC51KCJEITJVWcrZAeAF4sM2llF5FBQel2xJCPCCEuM//+hkhxOf+1xcJIV73v35BCLHRn/9+gX/aZUKIfzZZT+MZuxDiEmHd/2CzEOKf/oR9p263xWWEEIeEEAv807cLIUb4pycLIT7zl2GJECJPCJEE/A4YLKz7Efzev/ooIcQ7wsrZ/3oruXOuBT5tUp7WtvuYsO5tsMa/zWuEEE/5l/lUCGH3r2INMNt/FbWiACo4KN3bGmCG//UkrAOr3T+t4az6YSnlJCALuEAIkYWVE3+KP70CwI3Am/4D9q+A2VLKCcBG4P6mG2zHMiX+6S8ADTcUehT4XEo5CitraLp/+s+B/VLKcVLKB/zTxgM/wcrRPwg4r4X9Pg8rJ1RTLW0XrOR0FwFXY11du1JKOQZwAVcASClNrDTPY1vYltJLqeCgdGebgIlCiBjADXyFFSRmYAUOgBuEEJuBLcAorJud+LDOvK/yny1fgZVbaCrWQXmdEGIrcCuQcco221rmX03KNtD/+nysXPpIKT8Fyk+zTxuklPn+A/bWJutoKhUoPmVaS9sF+ERaSei2Y938paHGsf2U5YqwMpkqCtCLsrIqPY+U0iuEOAjcBnyJlWfnQmAIsNufhOxnwLlSynIhxMtAmP/jbwI/wrqhykYpZbW/CeczKeV3T7PZtpZx+58Nzuz35W7yurV1uDixH21tt+HGMKYQwitP5MsxT1kuzL9eRQFUzUHp/tZgBYDV/tf3AFv8B8EYrASDlUKIvsCcJp9bhZW++of4z+qBr4HzhBBDwMrq6c9+2VR7ljnVOuAG//KXAA03pqkGoju2uwDsxgqAgTSME5lNFUUFB6XbW4PVzPKVtHL81/unIa3bY27BStn8D6yDNP55BtY9AOb4n5FSFmPVQt4QQmRjNVONaLqx9izTggXAJcK6Wfz1QCFQLaUsxWqe2tGkQ7o9PgJmdWD50/IHTpeUsjBQ61S6P5WVVVGCTAjhBAwppU8IMQ14QUo57izXuRa4UkpZEYDy/Q9QJaV86WzXpfQcqs9BUYIvHeuWjhrWDe9/GIB1/tS/3ooArKsC6/4IitJI1RwURVGUZlSfg6IoitKMCg6KoihKMyo4KIqiKM2o4KAoiqI0o4KDoiiK0sz/B/mDGKxbCpxkAAAAAElFTkSuQmCC\n" + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], "source": [ "gf.simulation.plot.plot_sparameters(df2d)" ] }, { "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "sim.plot.plot_sparameters(df2d, keys=['s21m'])\n", - "sim.plot.plot_sparameters(df, keys=['s21m'])" + "execution_count": 14, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
<Figure size 432x288 with 1 Axes>\n",
+       "
\n" + ], + "text/plain": [ + "\u001b[1m<\u001b[0m\u001b[1;95mFigure\u001b[0m\u001b[39m size 432x288 with \u001b[0m\u001b[1;36m1\u001b[0m\u001b[39m Axes\u001b[0m\u001b[1m>\u001b[0m\n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "image/png": 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\n" 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<Figure size 432x288 with 1 Axes>\n",
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\n" + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "sim.plot.plot_sparameters(df2d, keys=['s21m'], with_simpler_input_keys=True)\n", + "sim.plot.plot_sparameters(df, keys=['s21m'], with_simpler_input_keys=True)" ] }, { @@ -256,9 +505,64 @@ }, { "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], + "execution_count": 15, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
<Figure size 432x288 with 1 Axes>\n",
+       "
\n" + ], + "text/plain": [ + "\u001b[1m<\u001b[0m\u001b[1;95mFigure\u001b[0m\u001b[39m size 432x288 with \u001b[0m\u001b[1;36m1\u001b[0m\u001b[39m Axes\u001b[0m\u001b[1m>\u001b[0m\n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "image/png": 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\n" 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<Figure size 432x288 with 1 Axes>\n",
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\n" + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "bend_euler_radius3: uid 8fe1bd94, ports ['o1', 'o2'], references [], 2 polygons" + ] + }, + "execution_count": 15, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "c = gf.components.bend_euler(radius=3)\n", "c" @@ -266,54 +570,217 @@ }, { "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], + "execution_count": 16, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/usr/local/google/home/jmatres/mambaforge/lib/python3.9/site-packages/meep/__init__.py:4494: ComplexWarning: Casting complex values to real discards the imaginary part\n", + " return _meep._get_epsilon_grid(gobj_list, mlist, _default_material, _ensure_periodicity, gv, cell_size, cell_center, nx, xtics, ny, ytics, nz, ztics, grid_vals, frequency)\n" + ] + }, + { + "data": { + "text/html": [ + "
<Figure size 432x288 with 1 Axes>\n",
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\n" + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], "source": [ "df = gm.write_sparameters_meep_1x1_bend90(c, run=False)" ] }, { "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], + "execution_count": 17, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2022-11-13 19:51:55.083 | INFO | gdsfactory.simulation.gmeep.write_sparameters_meep:write_sparameters_meep:341 - Simulation loaded from PosixPath('/usr/local/google/home/jmatres/ubc/sparameters/bend_euler_radius3_6ad1d010.npz')\n" + ] + } + ], "source": [ "df = gm.write_sparameters_meep_1x1_bend90(c, run=True)" ] }, { "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], + "execution_count": 18, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
<Figure size 432x288 with 1 Axes>\n",
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QEZEwSg4iIhJGyUFERMIoOYiISBglBxERCaPkICIiYZQcREQkTNySg5n93MzWmtkaM/s/M+vntZuZzTOzrd70SfGKUUSkvYrnlsN/OOeynXMTgb8B93ntlwLDvZ/ZwJPxCU9EpP2KW3JwzpWGPO0MHK9ydSXwOxe0AuhuZn1bPEARkXYsrrWVzGwO8HXgCHC+19wf2B3SrcBr21fH62cT3Lpg4MCBMY1VRKQ9iemWg5ktNbP1dfxcCeCcu9c5NwBYCNzR1Pk75+Y753KcczkZGRnRDl9EpN2K6ZaDc+6iRnZdCLwK/BTYAwwImZbltYmISAuJ59lKw0OeXgls9h4vAr7unbV0JnDEORe2S0lERGInnsccHjKzkUAA2An8i9f+KnAZsBU4BnwjlkEcrSwnLaVjLBchItLqxC05OOeujdDugNtbKo7zfn8N1VZMskunc1Iv0lMyyeycyaCuWYzOGMSZA0aSmdajpcIREUkI7f5OcOf2/QLbjuRzuPIAZTUHKAlsJr+ygvcPATuAj4DaNDpZJukd+jMgbRCjew3jnIHjmNRvKD6fLjIXkbbH2spNtHNyclxubm5U5rW39BBrC3ew4cB28g5tY/fRnRRX7qGcQvCXfdYxkEpHl0VmxyGM7DmSM/qNZeaw0+nesXNU4hARiTUzW+WcywlrV3Jomt0lxby/awO5ezeSdziP/eXbOWYFmK8SAOd8pASy6NdxBBMysrlwaA7nDhpDkt8f89hERJpKySGGAoEAq/Zu4+/b17C6cC3byzZRxvYTCYNAKl1tGKN7TOTiIWdx+cgpdE5JiUusIiKhlBxaWE1tLe/s2MCybbl8UrSWPeUbqEkqBMAFkkljGCO7T+CSoedw9ZhppCZ3iHPEItIeKTkkgPziQv5347u8v2clu46tp8q3BzMHtamk+8cxJXMaXx1/Maf3GxLvUEWknVBySEC7Sop4fu2bvLP7PQoq1+D8JQD4a/pwWpccrhoxk+vGT6dDUrs/qUxEYkTJIcEFAgH+vn09L21cxpqDH1LKZsxXC7Wd6d9hMpcMuYhvTJqpM6FEJKqUHFqZ/WVH+O2qJSzbtYz91R+DvwIXSCbdN55LBs/i1jOuoEenLvEOU0RaOSWHVuzTykoWrn2TxVuXsq18BfhLcYEU+iZN5ovDLuNbObPolKyzn0Sk6ZQc2oiqmhoWfvIWL+W9wq6KFeAvh9pODEqdxj+Nu5YvjztbV22LSKMpObRBn1ZW8syqJSzKX0xhzSrMV4W/pg9TM2Zx57TrGZWRFe8QRSTBKTm0cUVlpfxq+Yss3f0K5f58nPPR0yZw9bCr+faUy7TbSUTqpOTQjryzfQP/lfsHNh59E/xHsdpuTOpxKT865yZtTYjI5yg5tEMV1VU8uXIxL275E0dtPc756eM/g3+e8E98Zdw5OjYhIkoO7d272zfy2IcL2Fr+FvgqSK7JYtbAL3H39Bt0syORdkzJQYDgsYmH33ueZXtepiZpL9R25cz0q/jpjG+R1a1nvMMTkRam5CCfEwgE+E3uEhZsWECZbxMukMLIThfx43O/rdpOIu2IkoNE9Mqmj3g89zcU1n4IQF//NO45+3bOHzo+zpGJSKwpOUiDVu3JZ8678/lH+RtgNfTxT+XuaXdw0bAJ8Q5NRGJEyUEaLb+4kHvf/C/Wl70GVkWGL4e7zryDWSMmxTs0EYkyJQdpsh2HDnDvW79mbeli8FXQk0n8+Kw7uXj4xHiHJiJRouQgp2x3STH3LPs1a0oX4aySfv6zmHP+9zkja1i8QxORZlJykGbbVVLE99+Yy8ayV8Ecp6VcyEMX3sno3rrqWqS1UnKQqNmwfzd3LfslO6reAudnXJcv8OjMO3WdhDRLIBCgtLKcQ+VlHC4vo7KmmqraGmoCtVTV1lAbqKU6UIvPjGR/Eh18ScHf/iRSkpLplJxCj46d6dkxTXdPbAIlB4m6D3Zu5r53HqOwdgUW6Mj5fb7GQzNnq8ifEAgE2H74ABsP7Cb/8B4KSgs5VHGYI5VHOFpVwrHaUioCR6l2nxKwCpxVgVUF76keBS6QhLkOmOuAj1SSrTOpvi509Hehc3JX0jp0pXtKN/p0Tqd/Wm8G9ejDaT0zyeqa3u7Kyig5SMwszsvlwQ8eocy3CV9NBl8bcRvfO/uadvdP1t4UlZWycs8/WFuYz5bD29hTtpuS6v1UBIqp9R3BfDVhr3GBFHyBziRbF1IsjY5JaaT6O5Lq70RqUiodkzrSKakTXZI70SEpGZ/5SPL5SfYl4Tc/ST4/ANWBGqoDwa2K6tpqqgM1VNZWcay6nGPV5ZTXHqOypoKK2nIqa8upCJRRFSijhmM43zHwVdQ5Juf8+AJpdKA7XfzpdE/JoE+nPvRPy2Roj/6M6jWAcX0GkprcIaZ/25ak5CAxFQgE+PXKxTy9YR61SYV0rB3OXVO/z7Vjz4p3aNJMRyqO8c729SwvWMfm4n+wtzyfT90+8Jd+rp/VdiOVDNKSe5Ge0ps+nfswsGtfhvbsz/D0fgzq3ptuqZ3iNIrPq6iuYk/pIbYf3s+ukv0UHD1AYVkRxRXFlFQe4mj1IcoDxdT4SsISiXM+fLXd6ejrRbfk3vTp2JeBXbMY1WswE/oOZUzGAJL8/vgM7BQoOUiLqKiu4sfLfsvre58Ffxl9fNN47OJ7yM4cHO/QpBE+raxkydZV/H1HLpsOrae4ajvV/gOYBQBwgWRSXX/SOwwgq8tAhvUYwoTMYUwdMIL0Tmlxjj42Co8eZuOB3eQVF7Dj8B52H91DUXkhR6r3U8FBAr4jn9sd5gJJJAXS6eLvQ6/UfmR1yWJk+mAmZA7j9H5DE67QpZKDtKj9ZUe4c8kvWXv0FcDI6X4tc2d9l+4dO8c7NAmRV7SXP298m1WFn7Dr002U264Tu4Osthvd/EMY2OU0xvUazTkDxzN1wAgd7D3Jp5WVfFK4nXX7t/GPQzvZVbqbovK9lNbup8qKMF/lib7OGb7aHnTy9SY9pS/9Og/gtB4DGZsxlMn9T6Nf15Y/qUPJQeLio4Kt/PDNORx0uVhND6477V+4e/r1Oh4RJzsOHeDFDW/zXsEKdh1bS01SIRD8ttvJDWZQl9GckTmRWSOmaGsvCgKBAPmH9rN671Y2Fm1jW8kuCo8VcLh6H5UUgb/s8y+o7UQKGaQl9SYjtS9Zaf0Y2mMgYzIGMaHvkJhsnSk5SFw9u3oZj695lGp/AR1rh/GTaXdzxegp8Q6rzauoruLF9e/xytZlbC1dTZV/D2YOF+hANxvB2J6TuOS0s7l0xGSdZRYHhUcPs2pvPhv2b2NryU72lBVwuHI/xwJF1PgOhR/UD6TiD3Snk68nacnppKf2JrNzH356/k2nfDxHyUHirqqmhnuXPcOSPf+D8x1jYPJ5PH7JPQzv1TfeobUp+cWFLPh4Ce/vfY+imrXgL8c5H53dMMZ0n8wlp53DF0dPVTJIcDW1tWwp3sfawu3kFe9kd+k+isoPUFJZRFntIao4RMB3FLMAK67PpXPKqa1PJQdJGAVHDvFvSx4hr/w1LNCBczNu4NFZt+nDqhlW7cnnmdWL+Kjobcp924IHSGvTyEqZxPkDpvP10y8mM61HvMOUKKuqqWHb4cJm3RteyUESzlvb1nHvO7/gqK3HX9OH2eO+y21TL493WK3G+zs38T9rFvFx8TtU+XcBkFyTxbgeZ3PtqIv5wsicVnVKpcSHkoMkpEAgwLwVi/ifTY8TSDpIdzeBOefdzfQhY+MdWkL6eO92fv3RS+QeXEZN0h4AUmoHM6nXdL458YucOXBknCOU1kbJQRLa0cpy/n3JEyw/9EewaoalzmTuzB8wuGfveIcWdzsOHeA/V/6Zd/e+Qbl/CwCptUOZ2vsCbpl8JRP7Do5vgNKqKTlIq5BXtJfvvfEIO6rexAKpTO99A49cfOspH2xrrY5UHOPXH77Cq9tf4TDrMAvgr8lkUvoFfHvSl5g6cHi8Q5Q2QslBWpU3tqzhp+89xFHfBnw1GXx95O3cedbVbfr6iEAgwIvr3+e59X9mZ8UH4C/Harsxqst53DzhGmYNP71Nj1/iI2GTg5l9D3gUyHDOHTQzAx4HLgOOATc751Y3NB8lh7YnEAjw5MrF/Mar15RSO4TZ42/llsmXtKkPyVV78nli5R9ZfWgpgaQiXCCZvklT+PKoK7n59It1RbLEVEImBzMbADwNjAIme8nhMuA7BJPDVOBx59zUhual5NB2VVRXcd+bC1hS8BwuqYSOtcO5feLt3DTpwniHdsqKykp5fMWfWbp7MZ/68gDoFBjBhVmX8W/TvkSfLt3iHKG0F4maHF4Cfg78FcjxksNTwN+dc3/w+uQBM5xz++qbl5JD23e0spyfvPlblu17HvyldAmM5ruTv8N12efGO7RGqamt5dmPl/LHTS+zt2Yl5qvGV9OL03texO1nXKfbrkpcREoOcdteNbMrgT3OuU+Ce5JO6A/sDnle4LXVmxyk7UtL6cjcS2+npPxm7lk6n3eL/sSDH9/GY6tGcNXQr/BvZ12VcBfSBQIBXt60gufXL2LLp+/h/EcgkMqglHP42thruW78uW1qF5m0HTFNDma2FMisY9K9wD3AzGbOfzYwG2DgwIHNmZW0It07dubXV9xJ8bFb+PGy3/DBgUU8v+NB/pD/n5ze/VLuPvemZl0x2lyBQIA38j9hwZqX2Vj6DoGkYlzAT09/NjMHzeKOqVeqOq0kvLjsVjKz8cAyggecAbKAvcAU4AG0W0maoKqmhv9euZg//uMFSm09zvnp4z+Dr4y8muuzZ7TIDWZKyj/l+bVv8X/b32b7p6uCB5adj65uNDOyLua2KVfrHtuSkBLymMOJIMx28Nkxhy8Ad/DZAel5zrkGy3cqOQgES0r8cvkCthx7E/wVuEAyPWwMZ/Q5mxvGX0xOlPbrV1RX8d7OTfw1721WFy3niNuM+WpwgSS62Sim9jmHW8+4RkUFJeG1puRgwBPALIJbFt9wzjX4qa/kIKEOHytj4dq3eGP739lxbBWBpGIA/DV9yOo4jv5dshjcbQCjMwaRnTmEwd0zwvb9BwIBSivLKSw7zPJdm8jdt4H8ki0UVe2g0vaeKKfsr+nNkM6TuXjIdG7IPl+7jKRVSejkEA1KDhJJIBDgvZ2b+OOGN/i4aDlH3Xbwl3+ujwuk4A90xVGDsyqcVWG+6vCZ1aaRZgPo13koo3qO4IoR5+hqZWnVEu5sJZGW4vP5mD5krFfM77sA7C09xJp929lctJP8kl3sLdtLafVhkiyZFH8qKf5UUv2ppCZ1pFNyR8ZmnMZ5gycwMqNfXMci0lKUHKRd6te1J/269uSykZPjHYpIQtIJ1iIiEkbJQUREwig5iIhIGCUHEREJo+QgIiJhlBxERCSMkoOIiIRRchARkTBtpnyGmRUBO0/x5b2Ag1EMpzXQmNuH9jbm9jZeaP6YBznnMk5ubDPJoTnMLLeu2iJtmcbcPrS3Mbe38ULsxqzdSiIiEkbJQUREwig5BM2PdwBxoDG3D+1tzO1tvBCjMeuYg4iIhNGWg4iIhFFyEBGRMG0yOZjZb83sgJmtD2m738z2mNka7+eykGl3m9lWM8szs0tC2md5bVvN7EctPY6maMqYzexiM1tlZuu83xeEvGay177VzOZ59/ROSE1dz970gWZWZmbfD2lrk+vZm5ZtZsvNbIO3XlO99ja5ns0s2cye9ca2yczuDnlNq17PXvt3zGyztz4fCWmP/meYc67N/QDTgUnA+pC2+4Hv19F3DPAJkAIMAfIBv/eTDwwFOnh9xsR7bFEa8+lAP+/xOGBPyLSVwJmAAa8Bl8Z7bNEYc8j0l4AXj/dp4+s5CVgLTPCepwP+tryegRuAF7zHnYAdwOA2sp7PB5YCKd7z3t7vmHyGtcktB+fcO8ChRna/kuCbqdI5tx3YCkzxfrY657Y556qAF7y+CakpY3bOfeyc2+s93QB0NLMUM+sLdHXOrXDBd93vgKtiEnAUNHE9Y2ZXAdsJjvm4NruegZnAWufcJ95ri51ztW18PTugs5klAR2BKqCUtrGebwUecs5Ven0OeO0x+Qxrk8mhHneY2Vpvk62H19Yf2B3Sp8Bri9Te2tQ15lDXAqu9N1x/guM8rs2M2cy6AHcBD5zUty2v5xGAM7PXzWy1mf3Qa2+z65ngluGnwD5gF/Coc+4QbWM9jwDONbMPzextMzvDa4/JZ1h7Sg5PAqcBEwm+cX4Z12haRr1jNrOxwMPAt1s8stiJNOb7gV8558riE1ZMRRpzEnAOcKP3+2ozuzAeAcZApDFPAWqBfgR3sXzPzIbGI8AYSAJ6Etwd+APgT7E8VpQUqxknGufc/uOPzew3wN+8p3uAASFds7w26mlvFeoZM2aWBbwMfN05l+817yE4zuPa0pinAl/yDuJ1BwJmVgGsou2u5wLgHefcQW/aqwT3Y/+etruebwCWOOeqgQNm9j6QQ/AbdKtezwTX5/96uwJXmlmAYNG9mHyGtZstB28/63FXA8fPAlgEXO/tcx8CDCd4sO4jYLiZDTGzDsD1Xt9WI9KYzaw7sBj4kXPu/eMdnHP7gFIzO9P7RvJ14K8tF3HzRRqzc+5c59xg59xgYC7wC+fcE7Th9Qy8Dow3s07ePvjzgI1teT0T3JV0gdenM8Fv2ZtpA+sZ+AvBg9KY2QiCB5kPEqvPsHgflY/Rkf4/ENzUrCaYbb8FPAesI3j2xiKgb0j/ewke1c8j5KwN4DLgH960e+M9rmiNGfgxwf2ya0J+jp/5kEPwHy0feALvKvpE/Gnqeg553f2EnOnSVtez1/9rBA/ArwceCWlvk+sZ6ELwbLQNwEbgB21oPXcguNW3HlgNXBDSP+qfYSqfISIiYdrNbiUREWk8JQcREQmj5CAiImGUHEREJIySg4iIhFFyEGkEM/u7mUX1Ju5m1t3Mbgt5PsPM/lbfa0L6zjWz6VGK4wUzGx6NeUnboeQgEj/dgdsa6nQyM0sHznTB4mzR8CTwwwZ7Sbui5CCtlpn9wMz+1Xv8KzN703t8gZkt9B4/aWa5Xv37B7y2WWb2Ysh8TnxjN7OZFrz/wWoze9Er2HfycuvsY2Y7zOwBr32dmY3y2jPM7A0vhqfNbKeZ9QIeAk6z4P0I/sObfRcze8mCNfsXRqidcy2wJCSeSMu934L3NnjXW+Y1ZvaI12eJmSV7s3gXuMi7iloEUHKQ1u1d4FzvcQ7BD9Zkr+34t+p7nXM5QDZwnpllE6yJP9UrrwBwHfCC94H9Y+Ai59wkIBf499AFNqLPQa/9SeD4DYV+CrzpnBtLsGroQK/9R0C+c26ic+4HXtvpwHcJ1ugfCpxdx7jPJlgTKlRdy4VgcboLgC8SvLr2LefceKAc+AKAcy5AsMzzhDqWJe2UkoO0ZquAyWbWFagElhNMEucSTBwAXzGz1cDHwFiCNzupIfjN+wrv2/IXCNYWOpPgh/L7ZrYGuAkYdNIyG+rzvyGxDfYen0Owlj7OuSXA4XrGtNI5V+B9YK8JmUeovkDRSW11LRfgNRcsQreO4M1fjm9xrDup3wGClUxFgHZUlVXaHudctZltB24GPiBYZ+d8YBiwyStC9n3gDOfcYTNbAKR6L38BuIPgDVVynXNHvV04bzjnvlrPYhvqU+n9ruXU/r8qQx5Hmkc5n42joeUevzFMwMyq3Wf1cgIn9Uv15isCaMtBWr93CSaAd7zH/wJ87H0IdiVYYPCImfUBLg153dsEy1f/M963emAFcLaZDYNgVU+v+mWoxvQ52fvAV7z+M4HjN6Y5CqQ1bbgAbCKYAKNpBJ9VNhVRcpBW712Cu1mWu2CN/wqvDRe8PebHBEs2P0/wQxpvWi3BewBc6v3GOVdEcCvkD2a2luBuqlGhC2tMnzo8AMy04M3ivwwUAkedc8UEd0+tDzkg3RiLgRlN6F8vL3GWO+cKozVPaf1UlVUkxswsBah1ztWY2TTgSefcxGbO8z3gcudcSRTiuxModc4909x5SduhYw4isTeQ4C0dfQRveP/PUZjn97z5lkRhXiUE748gcoK2HEREJIyOOYiISBglBxERCaPkICIiYZQcREQkjJKDiIiE+f/obkJhlH+KZQAAAABJRU5ErkJggg==\n" + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], "source": [ "gf.simulation.plot.plot_sparameters(df)" ] }, { "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "gf.simulation.plot.plot_sparameters(df, keys=(\"s21m\",), logscale=False)" + "execution_count": 19, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
<Figure size 432x288 with 1 Axes>\n",
+       "
\n" + ], + "text/plain": [ + "\u001b[1m<\u001b[0m\u001b[1;95mFigure\u001b[0m\u001b[39m size 432x288 with \u001b[0m\u001b[1;36m1\u001b[0m\u001b[39m Axes\u001b[0m\u001b[1m>\u001b[0m\n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "image/png": 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\n" + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "gf.simulation.plot.plot_sparameters(df, keys=(\"s21m\",), logscale=False, with_simpler_input_keys=True)" ] }, { "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "gf.simulation.plot.plot_sparameters(df, keys=(\"s11m\",))" + "execution_count": 20, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
<Figure size 432x288 with 1 Axes>\n",
+       "
\n" + ], + "text/plain": [ + "\u001b[1m<\u001b[0m\u001b[1;95mFigure\u001b[0m\u001b[39m size 432x288 with \u001b[0m\u001b[1;36m1\u001b[0m\u001b[39m Axes\u001b[0m\u001b[1m>\u001b[0m\n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "image/png": 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\n" + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "gf.simulation.plot.plot_sparameters(df, keys=(\"s11m\",), with_simpler_input_keys=True)" ] }, { "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], + "execution_count": 21, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
<Figure size 432x288 with 1 Axes>\n",
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\n" + ], + "text/plain": [ + "\u001b[1m<\u001b[0m\u001b[1;95mFigure\u001b[0m\u001b[39m size 432x288 with \u001b[0m\u001b[1;36m1\u001b[0m\u001b[39m Axes\u001b[0m\u001b[1m>\u001b[0m\n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "image/png": 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\n" + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "ebeam_crossing4_7e264905: uid 8ad67fb9, ports ['o1', 'o3', 'o4', 'o2'], references [], 2 polygons" + ] + }, + "execution_count": 21, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "c = pdk.components.ebeam_crossing4(decorator=gf.port.auto_rename_ports)\n", "c" @@ -339,9 +806,40 @@ }, { "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], + "execution_count": 22, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/usr/local/google/home/jmatres/mambaforge/lib/python3.9/site-packages/meep/__init__.py:4494: ComplexWarning: Casting complex values to real discards the imaginary part\n", + " return _meep._get_epsilon_grid(gobj_list, mlist, _default_material, _ensure_periodicity, gv, cell_size, cell_center, nx, xtics, ny, ytics, nz, ztics, grid_vals, frequency)\n" + ] + }, + { + "data": { + "text/html": [ + "
<Figure size 432x288 with 1 Axes>\n",
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\n" + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], "source": [ "df = gm.write_sparameters_meep(\n", " c,\n", @@ -354,9 +852,17 @@ }, { "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], + "execution_count": 23, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2022-11-13 19:51:57.358 | INFO | gdsfactory.simulation.gmeep.write_sparameters_meep:write_sparameters_meep:341 - Simulation loaded from PosixPath('/usr/local/google/home/jmatres/ubc/sparameters/ebeam_crossing4_7e264905_216d7d7a.npz')\n" + ] + } + ], "source": [ "df = gm.write_sparameters_meep(\n", " c,\n", @@ -369,20 +875,66 @@ }, { "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], + "execution_count": 24, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
<Figure size 432x288 with 1 Axes>\n",
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\n" + ], + "text/plain": [ + "\u001b[1m<\u001b[0m\u001b[1;95mFigure\u001b[0m\u001b[39m size 432x288 with \u001b[0m\u001b[1;36m1\u001b[0m\u001b[39m Axes\u001b[0m\u001b[1m>\u001b[0m\n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "image/png": 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\n" + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], "source": [ "gm.plot.plot_sparameters(df)" ] }, { "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "gm.plot.plot_sparameters(df, keys=(\"s31m\",))" + "execution_count": 25, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
<Figure size 432x288 with 1 Axes>\n",
+       "
\n" + ], + "text/plain": [ + "\u001b[1m<\u001b[0m\u001b[1;95mFigure\u001b[0m\u001b[39m size 432x288 with \u001b[0m\u001b[1;36m1\u001b[0m\u001b[39m Axes\u001b[0m\u001b[1m>\u001b[0m\n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "image/png": 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\n" + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "gm.plot.plot_sparameters(df, keys=(\"s31m\",), with_simpler_input_keys=True)" ] }, { @@ -400,7 +952,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 26, "metadata": {}, "outputs": [], "source": [ @@ -416,9 +968,64 @@ }, { "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], + "execution_count": 27, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
<Figure size 432x288 with 1 Axes>\n",
+       "
\n" + ], + "text/plain": [ + "\u001b[1m<\u001b[0m\u001b[1;95mFigure\u001b[0m\u001b[39m size 432x288 with \u001b[0m\u001b[1;36m1\u001b[0m\u001b[39m Axes\u001b[0m\u001b[1m>\u001b[0m\n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "image/png": 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\n" 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<Figure size 432x288 with 1 Axes>\n",
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\n" + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], "source": [ "gm.write_sparameters_meep(component=c, run=False)" ] }, { "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], + "execution_count": 29, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2022-11-13 19:52:01.683 | INFO | gdsfactory.simulation.gmeep.write_sparameters_meep_mpi:write_sparameters_meep_mpi:147 - Simulation PosixPath('/usr/local/google/home/jmatres/ubc/sparameters/coupler_gap0p13_length8_e8c7ce5e.npz') already exists\n" + ] + } + ], "source": [ "filepath = gm.write_sparameters_meep_mpi(\n", " component=c,\n", @@ -448,29 +1107,75 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 31, "metadata": {}, "outputs": [], "source": [ - "df = pd.read_csv(filepath)" + "sp = np.load(filepath)" ] }, { "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "gf.simulation.plot.plot_sparameters(df)" + "execution_count": 32, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
<Figure size 432x288 with 1 Axes>\n",
+       "
\n" + ], + "text/plain": [ + "\u001b[1m<\u001b[0m\u001b[1;95mFigure\u001b[0m\u001b[39m size 432x288 with \u001b[0m\u001b[1;36m1\u001b[0m\u001b[39m Axes\u001b[0m\u001b[1m>\u001b[0m\n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "image/png": 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\n" + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "gf.simulation.plot.plot_sparameters(sp)" ] }, { "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "gf.simulation.plot.plot_sparameters(df, keys=[\"s13m\", \"s14m\"])" + "execution_count": 33, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
<Figure size 432x288 with 1 Axes>\n",
+       "
\n" + ], + "text/plain": [ + "\u001b[1m<\u001b[0m\u001b[1;95mFigure\u001b[0m\u001b[39m size 432x288 with \u001b[0m\u001b[1;36m1\u001b[0m\u001b[39m Axes\u001b[0m\u001b[1m>\u001b[0m\n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "image/png": 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+ }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "gf.simulation.plot.plot_sparameters(sp, keys=[\"s13m\", \"s14m\"], with_simpler_input_keys=True)" ] }, { @@ -484,7 +1189,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 34, "metadata": {}, "outputs": [], "source": [ @@ -499,7 +1204,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 35, "metadata": {}, "outputs": [], "source": [ @@ -508,18 +1213,181 @@ }, { "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], + "execution_count": 36, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Warning: grid volume is not an integer number of pixels; cell size will be rounded to nearest pixel.\n", + "/usr/local/google/home/jmatres/mambaforge/lib/python3.9/site-packages/meep/__init__.py:4494: ComplexWarning: Casting complex values to real discards the imaginary part\n", + " return _meep._get_epsilon_grid(gobj_list, mlist, _default_material, _ensure_periodicity, gv, cell_size, cell_center, nx, xtics, ny, ytics, nz, ztics, grid_vals, frequency)\n" + ] + }, + { + "data": { + "text/html": [ + "
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+ }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], "source": [ "gm.write_sparameters_meep(c, ymargin=3, run=False)" ] }, { "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], + "execution_count": 37, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2022-11-13 19:52:56.858 | INFO | gdsfactory.simulation.gmeep.write_sparameters_meep_batch:write_sparameters_meep_batch:136 - Simulation PosixPath('/usr/local/google/home/jmatres/ubc/sparameters/straight_length3p1_664ba415.npz') not found. Adding it to the queue\n", + "2022-11-13 19:52:56.859 | INFO | gdsfactory.simulation.gmeep.write_sparameters_meep_batch:write_sparameters_meep_batch:144 - Running 1 simulations\n", + "2022-11-13 19:52:56.860 | INFO | gdsfactory.simulation.gmeep.write_sparameters_meep_batch:write_sparameters_meep_batch:145 - total_cores = 8 with cores_per_run = 4\n", + "2022-11-13 19:52:56.860 | INFO | gdsfactory.simulation.gmeep.write_sparameters_meep_batch:write_sparameters_meep_batch:146 - Running 1 batches with up to 2 jobs each.\n" + ] + }, + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "3c165354628e4c3d82215dd3f3cd5c71", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + " 0%| | 0/1 [00:00:45 - Load '/usr/local/google/home/jmatres/mambaforge/lib/python3.9/site-packages/gdsfactory' 6.0.1\n", + "2022-11-13 19:52:57.432 | INFO | gdsfactory.config::45 - Load '/usr/local/google/home/jmatres/mambaforge/lib/python3.9/site-packages/gdsfactory' 6.0.1\n", + "2022-11-13 19:52:57.446 | INFO | gdsfactory.config::45 - Load '/usr/local/google/home/jmatres/mambaforge/lib/python3.9/site-packages/gdsfactory' 6.0.1\n", + "2022-11-13 19:52:57.446 | INFO | gdsfactory.config::45 - Load '/usr/local/google/home/jmatres/mambaforge/lib/python3.9/site-packages/gdsfactory' 6.0.1\n", + "/usr/local/google/home/jmatres/mambaforge/lib/python3.9/site-packages/scipy/__init__.py:146: UserWarning: A NumPy version >=1.16.5 and <1.23.0 is required for this version of SciPy (detected version 1.23.4\n", + " warnings.warn(f\"A NumPy version >={np_minversion} and <{np_maxversion}\"\n", + "/usr/local/google/home/jmatres/mambaforge/lib/python3.9/site-packages/scipy/__init__.py:146: UserWarning: A NumPy version >=1.16.5 and <1.23.0 is required for this version of SciPy (detected version 1.23.4\n", + " warnings.warn(f\"A NumPy version >={np_minversion} and <{np_maxversion}\"\n", + "/usr/local/google/home/jmatres/mambaforge/lib/python3.9/site-packages/scipy/__init__.py:146: UserWarning: A NumPy version >=1.16.5 and <1.23.0 is required for this version of SciPy (detected version 1.23.4\n", + " warnings.warn(f\"A NumPy version >={np_minversion} and <{np_maxversion}\"\n", + "/usr/local/google/home/jmatres/mambaforge/lib/python3.9/site-packages/scipy/__init__.py:146: UserWarning: A NumPy version >=1.16.5 and <1.23.0 is required for this version of SciPy (detected version 1.23.4\n", + " warnings.warn(f\"A NumPy version >={np_minversion} and <{np_maxversion}\"\n", + "2022-11-13 19:52:59.999 | INFO | gdsfactory.simulation.gmeep::32 - Meep '1.24.0' installed at ['/usr/local/google/home/jmatres/mambaforge/lib/python3.9/site-packages/meep']\n", + "2022-11-13 19:53:00.000 | INFO | gdsfactory.read.import_gds:import_gds:106 - Read YAML metadata from /usr/local/google/home/jmatres/mambaforge/lib/python3.9/site-packages/gdslib/sp/temp/write_sparameters_meep_mpi_0.yml\n", + "2022-11-13 19:53:00.040 | INFO | gdsfactory.simulation.gmeep::32 - Meep '1.24.0' installed at ['/usr/local/google/home/jmatres/mambaforge/lib/python3.9/site-packages/meep']\n", + "2022-11-13 19:53:00.042 | INFO | gdsfactory.read.import_gds:import_gds:106 - Read YAML metadata from /usr/local/google/home/jmatres/mambaforge/lib/python3.9/site-packages/gdslib/sp/temp/write_sparameters_meep_mpi_0.yml\n", + " 0%| | 0/2 [00:00:32 - Meep '1.24.0' installed at ['/usr/local/google/home/jmatres/mambaforge/lib/python3.9/site-packages/meep']\n", + "2022-11-13 19:53:00.146 | INFO | gdsfactory.read.import_gds:import_gds:106 - Read YAML metadata from /usr/local/google/home/jmatres/mambaforge/lib/python3.9/site-packages/gdslib/sp/temp/write_sparameters_meep_mpi_0.yml\n", + " 0%| | 0/2 [00:00:32 - Meep '1.24.0' installed at ['/usr/local/google/home/jmatres/mambaforge/lib/python3.9/site-packages/meep']\n", + "2022-11-13 19:53:00.186 | INFO | gdsfactory.read.import_gds:import_gds:106 - Read YAML metadata from /usr/local/google/home/jmatres/mambaforge/lib/python3.9/site-packages/gdslib/sp/temp/write_sparameters_meep_mpi_0.yml\n", + " 0%| | 0/2 [00:00:54 - Tidy3d '1.7.1' installed at ['/usr/local/google/home/jmatres/mambaforge/lib/python3.9/site-packages/tidy3d']\n", + "Warning: grid volume is not an integer number of pixels; cell size will be rounded to nearest pixel.\n", + "/usr/local/google/home/jmatres/mambaforge/lib/python3.9/site-packages/meep/__init__.py:4488: ComplexWarning: Casting complex values to real discards the imaginary part\n", + " return _meep.create_structure(cell_size, dft_data_list_, pml_1d_vols_, pml_2d_vols_, pml_3d_vols_, absorber_vols_, gv, br, sym, num_chunks, Courant, use_anisotropic_averaging, tol, maxeval, gobj_list, center, _ensure_periodicity, _default_material, alist, extra_materials, split_chunks_evenly, set_materials, existing_s, output_chunk_costs, my_bp)\n", + "/usr/local/google/home/jmatres/mambaforge/lib/python3.9/site-packages/meep/__init__.py:4491: ComplexWarning: Casting complex values to real discards the imaginary part\n", + " return _meep._set_materials(s, cell_size, gv, use_anisotropic_averaging, tol, maxeval, gobj_list, center, _ensure_periodicity, _default_material, alist, extra_materials, split_chunks_evenly, set_materials, existing_geps, output_chunk_costs, my_bp)\n", + "2022-11-13 19:53:01.132 | INFO | gdsfactory.simulation.gtidy3d::54 - Tidy3d '1.7.1' installed at ['/usr/local/google/home/jmatres/mambaforge/lib/python3.9/site-packages/tidy3d']\n", + "Warning: grid volume is not an integer number of pixels; cell size will be rounded to nearest pixel.\n", + "/usr/local/google/home/jmatres/mambaforge/lib/python3.9/site-packages/meep/__init__.py:4488: ComplexWarning: Casting complex values to real discards the imaginary part\n", + " return _meep.create_structure(cell_size, dft_data_list_, pml_1d_vols_, pml_2d_vols_, pml_3d_vols_, absorber_vols_, gv, br, sym, num_chunks, Courant, use_anisotropic_averaging, tol, maxeval, gobj_list, center, _ensure_periodicity, _default_material, alist, extra_materials, split_chunks_evenly, set_materials, existing_s, output_chunk_costs, my_bp)\n", + "/usr/local/google/home/jmatres/mambaforge/lib/python3.9/site-packages/meep/__init__.py:4491: ComplexWarning: Casting complex values to real discards the imaginary part\n", + " return _meep._set_materials(s, cell_size, gv, use_anisotropic_averaging, tol, maxeval, gobj_list, center, _ensure_periodicity, _default_material, alist, extra_materials, split_chunks_evenly, set_materials, existing_geps, output_chunk_costs, my_bp)\n", + "2022-11-13 19:53:01.223 | INFO | gdsfactory.simulation.gtidy3d::54 - Tidy3d '1.7.1' installed at ['/usr/local/google/home/jmatres/mambaforge/lib/python3.9/site-packages/tidy3d']\n", + "Warning: grid volume is not an integer number of pixels; cell size will be rounded to nearest pixel.\n", + "/usr/local/google/home/jmatres/mambaforge/lib/python3.9/site-packages/meep/__init__.py:4488: ComplexWarning: Casting complex values to real discards the imaginary part\n", + " return _meep.create_structure(cell_size, dft_data_list_, pml_1d_vols_, pml_2d_vols_, pml_3d_vols_, absorber_vols_, gv, br, sym, num_chunks, Courant, use_anisotropic_averaging, tol, maxeval, gobj_list, center, _ensure_periodicity, _default_material, alist, extra_materials, split_chunks_evenly, set_materials, existing_s, output_chunk_costs, my_bp)\n", + "/usr/local/google/home/jmatres/mambaforge/lib/python3.9/site-packages/meep/__init__.py:4491: ComplexWarning: Casting complex values to real discards the imaginary part\n", + " return _meep._set_materials(s, cell_size, gv, use_anisotropic_averaging, tol, maxeval, gobj_list, center, _ensure_periodicity, _default_material, alist, extra_materials, split_chunks_evenly, set_materials, existing_geps, output_chunk_costs, my_bp)\n", + "2022-11-13 19:53:01.323 | INFO | gdsfactory.simulation.gtidy3d::54 - Tidy3d '1.7.1' installed at ['/usr/local/google/home/jmatres/mambaforge/lib/python3.9/site-packages/tidy3d']\n", + "Warning: grid volume is not an integer number of pixels; cell size will be rounded to nearest pixel.\n", + "/usr/local/google/home/jmatres/mambaforge/lib/python3.9/site-packages/meep/__init__.py:4488: ComplexWarning: Casting complex values to real discards the imaginary part\n", + " return _meep.create_structure(cell_size, dft_data_list_, pml_1d_vols_, pml_2d_vols_, pml_3d_vols_, absorber_vols_, gv, br, sym, num_chunks, Courant, use_anisotropic_averaging, tol, maxeval, gobj_list, center, _ensure_periodicity, _default_material, alist, extra_materials, split_chunks_evenly, set_materials, existing_s, output_chunk_costs, my_bp)\n", + "/usr/local/google/home/jmatres/mambaforge/lib/python3.9/site-packages/meep/__init__.py:4491: ComplexWarning: Casting complex values to real discards the imaginary part\n", + " return _meep._set_materials(s, cell_size, gv, use_anisotropic_averaging, tol, maxeval, gobj_list, center, _ensure_periodicity, _default_material, alist, extra_materials, split_chunks_evenly, set_materials, existing_geps, output_chunk_costs, my_bp)\n", + " 50%|█████ | 1/2 [00:05<00:05, 5.56s/it]Warning: grid volume is not an integer number of pixels; cell size will be rounded to nearest pixel.\n", + "Warning: grid volume is not an integer number of pixels; cell size will be rounded to nearest pixel.\n", + " 50%|█████ | 1/2 [00:05<00:05, 5.72s/it]Warning: grid volume is not an integer number of pixels; cell size will be rounded to nearest pixel.\n", + " 50%|█████ | 1/2 [00:05<00:05, 5.58s/it]Warning: grid volume is not an integer number of pixels; cell size will be rounded to nearest pixel.\n", + "100%|██████████| 2/2 [00:10<00:00, 5.03s/it]\n", + "2022-11-13 19:53:10.221 | INFO | gdsfactory.simulation.gmeep.write_sparameters_meep:write_sparameters_meep:500 - Write simulation results to PosixPath('/usr/local/google/home/jmatres/ubc/sparameters/straight_length3p1_bdd2f6cd.npz')\n", + "2022-11-13 19:53:10.232 | INFO | gdsfactory.simulation.gmeep.write_sparameters_meep:write_sparameters_meep:502 - Write simulation settings to PosixPath('/usr/local/google/home/jmatres/ubc/sparameters/straight_length3p1_bdd2f6cd.yml')\n", + "100%|██████████| 2/2 [00:10<00:00, 5.03s/it]\n", + "2022-11-13 19:53:10.267 | INFO | gdsfactory.simulation.gmeep.write_sparameters_meep:write_sparameters_meep:500 - Write simulation results to PosixPath('/usr/local/google/home/jmatres/ubc/sparameters/straight_length3p1_bdd2f6cd.npz')\n", + "2022-11-13 19:53:10.279 | INFO | gdsfactory.simulation.gmeep.write_sparameters_meep:write_sparameters_meep:502 - Write simulation settings to PosixPath('/usr/local/google/home/jmatres/ubc/sparameters/straight_length3p1_bdd2f6cd.yml')\n", + "100%|██████████| 2/2 [00:10<00:00, 5.14s/it]\n", + "2022-11-13 19:53:10.341 | INFO | gdsfactory.simulation.gmeep.write_sparameters_meep:write_sparameters_meep:500 - Write simulation results to PosixPath('/usr/local/google/home/jmatres/ubc/sparameters/straight_length3p1_bdd2f6cd.npz')\n", + "2022-11-13 19:53:10.353 | INFO | gdsfactory.simulation.gmeep.write_sparameters_meep:write_sparameters_meep:502 - Write simulation settings to PosixPath('/usr/local/google/home/jmatres/ubc/sparameters/straight_length3p1_bdd2f6cd.yml')\n", + "100%|██████████| 2/2 [00:10<00:00, 5.19s/it]\n", + "2022-11-13 19:53:10.419 | INFO | gdsfactory.simulation.gmeep.write_sparameters_meep:write_sparameters_meep:500 - Write simulation results to PosixPath('/usr/local/google/home/jmatres/ubc/sparameters/straight_length3p1_bdd2f6cd.npz')\n", + "2022-11-13 19:53:10.431 | INFO | gdsfactory.simulation.gmeep.write_sparameters_meep:write_sparameters_meep:502 - Write simulation settings to PosixPath('/usr/local/google/home/jmatres/ubc/sparameters/straight_length3p1_bdd2f6cd.yml')\n", + "\n" + ] + } + ], "source": [ "c1_dict = {\"component\": c, \"ymargin\": 3}\n", "jobs = [\n", @@ -536,19 +1404,97 @@ }, { "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "df = pd.read_csv(filepaths[0])\n", - "gf.simulation.plot.plot_sparameters(df)" + "execution_count": 41, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
<Figure size 432x288 with 1 Axes>\n",
+       "
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\n" + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "sp = np.load(filepaths[0])\n", + "gf.simulation.plot.plot_sparameters(sp)" ] }, { "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], + "execution_count": 42, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
<Figure size 432x288 with 1 Axes>\n",
+       "
\n" + ], + "text/plain": [ + "\u001b[1m<\u001b[0m\u001b[1;95mFigure\u001b[0m\u001b[39m size 432x288 with \u001b[0m\u001b[1;36m1\u001b[0m\u001b[39m Axes\u001b[0m\u001b[1m>\u001b[0m\n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "image/png": 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\n" 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<Figure size 432x288 with 1 Axes>\n",
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\n" + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], "source": [ "p = 2.5\n", "gm.write_sparameters_meep(c, ymargin=0, ymargin_bot=p, xmargin=p, run=False)" @@ -566,9 +1556,121 @@ }, { "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], + "execution_count": 44, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2022-11-13 19:53:57.508 | INFO | gdsfactory.simulation.gmeep.write_sparameters_meep_batch:write_sparameters_meep_batch:136 - Simulation PosixPath('/usr/local/google/home/jmatres/ubc/sparameters/coupler_ring_d97f3207.npz') not found. Adding it to the queue\n", + "2022-11-13 19:53:57.510 | INFO | gdsfactory.simulation.gmeep.write_sparameters_meep_batch:write_sparameters_meep_batch:144 - Running 1 simulations\n", + "2022-11-13 19:53:57.511 | INFO | gdsfactory.simulation.gmeep.write_sparameters_meep_batch:write_sparameters_meep_batch:145 - total_cores = 8 with cores_per_run = 4\n", + "2022-11-13 19:53:57.511 | INFO | gdsfactory.simulation.gmeep.write_sparameters_meep_batch:write_sparameters_meep_batch:146 - Running 1 batches with up to 2 jobs each.\n" + ] + }, + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "cd06f7f85b374cf8a4239b4d8fe642b3", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + " 0%| | 0/1 [00:00:45 - Load '/usr/local/google/home/jmatres/mambaforge/lib/python3.9/site-packages/gdsfactory' 6.0.1\n", + "2022-11-13 19:53:58.114 | INFO | gdsfactory.config::45 - Load '/usr/local/google/home/jmatres/mambaforge/lib/python3.9/site-packages/gdsfactory' 6.0.1\n", + "2022-11-13 19:53:58.120 | INFO | gdsfactory.config::45 - Load '/usr/local/google/home/jmatres/mambaforge/lib/python3.9/site-packages/gdsfactory' 6.0.1\n", + "2022-11-13 19:53:58.121 | INFO | gdsfactory.config::45 - Load '/usr/local/google/home/jmatres/mambaforge/lib/python3.9/site-packages/gdsfactory' 6.0.1\n", + "/usr/local/google/home/jmatres/mambaforge/lib/python3.9/site-packages/scipy/__init__.py:146: UserWarning: A NumPy version >=1.16.5 and <1.23.0 is required for this version of SciPy (detected version 1.23.4\n", + " warnings.warn(f\"A NumPy version >={np_minversion} and <{np_maxversion}\"\n", + "/usr/local/google/home/jmatres/mambaforge/lib/python3.9/site-packages/scipy/__init__.py:146: UserWarning: A NumPy version >=1.16.5 and <1.23.0 is required for this version of SciPy (detected version 1.23.4\n", + " warnings.warn(f\"A NumPy version >={np_minversion} and <{np_maxversion}\"\n", + "/usr/local/google/home/jmatres/mambaforge/lib/python3.9/site-packages/scipy/__init__.py:146: UserWarning: A NumPy version >=1.16.5 and <1.23.0 is required for this version of SciPy (detected version 1.23.4\n", + " warnings.warn(f\"A NumPy version >={np_minversion} and <{np_maxversion}\"\n", + "/usr/local/google/home/jmatres/mambaforge/lib/python3.9/site-packages/scipy/__init__.py:146: UserWarning: A NumPy version >=1.16.5 and <1.23.0 is required for this version of SciPy (detected version 1.23.4\n", + " warnings.warn(f\"A NumPy version >={np_minversion} and <{np_maxversion}\"\n", + "2022-11-13 19:54:00.829 | INFO | gdsfactory.simulation.gmeep::32 - Meep '1.24.0' installed at ['/usr/local/google/home/jmatres/mambaforge/lib/python3.9/site-packages/meep']\n", + "2022-11-13 19:54:00.830 | INFO | gdsfactory.read.import_gds:import_gds:106 - Read YAML metadata from /usr/local/google/home/jmatres/mambaforge/lib/python3.9/site-packages/gdslib/sp/temp/write_sparameters_meep_mpi_0.yml\n", + "2022-11-13 19:54:00.834 | INFO | gdsfactory.simulation.gmeep::32 - Meep '1.24.0' installed at ['/usr/local/google/home/jmatres/mambaforge/lib/python3.9/site-packages/meep']\n", + "2022-11-13 19:54:00.836 | INFO | gdsfactory.read.import_gds:import_gds:106 - Read YAML metadata from /usr/local/google/home/jmatres/mambaforge/lib/python3.9/site-packages/gdslib/sp/temp/write_sparameters_meep_mpi_0.yml\n", + "2022-11-13 19:54:00.863 | INFO | gdsfactory.simulation.gmeep::32 - Meep '1.24.0' installed at ['/usr/local/google/home/jmatres/mambaforge/lib/python3.9/site-packages/meep']\n", + "2022-11-13 19:54:00.865 | INFO | gdsfactory.read.import_gds:import_gds:106 - Read YAML metadata from /usr/local/google/home/jmatres/mambaforge/lib/python3.9/site-packages/gdslib/sp/temp/write_sparameters_meep_mpi_0.yml\n", + " 0%| | 0/4 [00:00:32 - Meep '1.24.0' installed at ['/usr/local/google/home/jmatres/mambaforge/lib/python3.9/site-packages/meep']\n", + "2022-11-13 19:54:00.905 | INFO | gdsfactory.read.import_gds:import_gds:106 - Read YAML metadata from /usr/local/google/home/jmatres/mambaforge/lib/python3.9/site-packages/gdslib/sp/temp/write_sparameters_meep_mpi_0.yml\n", + " 0%| | 0/4 [00:00:54 - Tidy3d '1.7.1' installed at ['/usr/local/google/home/jmatres/mambaforge/lib/python3.9/site-packages/tidy3d']\n", + "/usr/local/google/home/jmatres/mambaforge/lib/python3.9/site-packages/meep/__init__.py:4488: ComplexWarning: Casting complex values to real discards the imaginary part\n", + " return _meep.create_structure(cell_size, dft_data_list_, pml_1d_vols_, pml_2d_vols_, pml_3d_vols_, absorber_vols_, gv, br, sym, num_chunks, Courant, use_anisotropic_averaging, tol, maxeval, gobj_list, center, _ensure_periodicity, _default_material, alist, extra_materials, split_chunks_evenly, set_materials, existing_s, output_chunk_costs, my_bp)\n", + "2022-11-13 19:54:01.945 | INFO | gdsfactory.simulation.gtidy3d::54 - Tidy3d '1.7.1' installed at ['/usr/local/google/home/jmatres/mambaforge/lib/python3.9/site-packages/tidy3d']\n", + "/usr/local/google/home/jmatres/mambaforge/lib/python3.9/site-packages/meep/__init__.py:4491: ComplexWarning: Casting complex values to real discards the imaginary part\n", + " return _meep._set_materials(s, cell_size, gv, use_anisotropic_averaging, tol, maxeval, gobj_list, center, _ensure_periodicity, _default_material, alist, extra_materials, split_chunks_evenly, set_materials, existing_geps, output_chunk_costs, my_bp)\n", + "/usr/local/google/home/jmatres/mambaforge/lib/python3.9/site-packages/meep/__init__.py:4488: ComplexWarning: Casting complex values to real discards the imaginary part\n", + " return _meep.create_structure(cell_size, dft_data_list_, pml_1d_vols_, pml_2d_vols_, pml_3d_vols_, absorber_vols_, gv, br, sym, num_chunks, Courant, use_anisotropic_averaging, tol, maxeval, gobj_list, center, _ensure_periodicity, _default_material, alist, extra_materials, split_chunks_evenly, set_materials, existing_s, output_chunk_costs, my_bp)\n", + "/usr/local/google/home/jmatres/mambaforge/lib/python3.9/site-packages/meep/__init__.py:4491: ComplexWarning: Casting complex values to real discards the imaginary part\n", + " return _meep._set_materials(s, cell_size, gv, use_anisotropic_averaging, tol, maxeval, gobj_list, center, _ensure_periodicity, _default_material, alist, extra_materials, split_chunks_evenly, set_materials, existing_geps, output_chunk_costs, my_bp)\n", + "2022-11-13 19:54:01.968 | INFO | gdsfactory.simulation.gtidy3d::54 - Tidy3d '1.7.1' installed at ['/usr/local/google/home/jmatres/mambaforge/lib/python3.9/site-packages/tidy3d']\n", + "/usr/local/google/home/jmatres/mambaforge/lib/python3.9/site-packages/meep/__init__.py:4488: ComplexWarning: Casting complex values to real discards the imaginary part\n", + " return _meep.create_structure(cell_size, dft_data_list_, pml_1d_vols_, pml_2d_vols_, pml_3d_vols_, absorber_vols_, gv, br, sym, num_chunks, Courant, use_anisotropic_averaging, tol, maxeval, gobj_list, center, _ensure_periodicity, _default_material, alist, extra_materials, split_chunks_evenly, set_materials, existing_s, output_chunk_costs, my_bp)\n", + "/usr/local/google/home/jmatres/mambaforge/lib/python3.9/site-packages/meep/__init__.py:4491: ComplexWarning: Casting complex values to real discards the imaginary part\n", + " return _meep._set_materials(s, cell_size, gv, use_anisotropic_averaging, tol, maxeval, gobj_list, center, _ensure_periodicity, _default_material, alist, extra_materials, split_chunks_evenly, set_materials, existing_geps, output_chunk_costs, my_bp)\n", + "2022-11-13 19:54:02.074 | INFO | gdsfactory.simulation.gtidy3d::54 - Tidy3d '1.7.1' installed at ['/usr/local/google/home/jmatres/mambaforge/lib/python3.9/site-packages/tidy3d']\n", + "/usr/local/google/home/jmatres/mambaforge/lib/python3.9/site-packages/meep/__init__.py:4488: ComplexWarning: Casting complex values to real discards the imaginary part\n", + " return _meep.create_structure(cell_size, dft_data_list_, pml_1d_vols_, pml_2d_vols_, pml_3d_vols_, absorber_vols_, gv, br, sym, num_chunks, Courant, use_anisotropic_averaging, tol, maxeval, gobj_list, center, _ensure_periodicity, _default_material, alist, extra_materials, split_chunks_evenly, set_materials, existing_s, output_chunk_costs, my_bp)\n", + "/usr/local/google/home/jmatres/mambaforge/lib/python3.9/site-packages/meep/__init__.py:4491: ComplexWarning: Casting complex values to real discards the imaginary part\n", + " return _meep._set_materials(s, cell_size, gv, use_anisotropic_averaging, tol, maxeval, gobj_list, center, _ensure_periodicity, _default_material, alist, extra_materials, split_chunks_evenly, set_materials, existing_geps, output_chunk_costs, my_bp)\n", + "100%|██████████| 4/4 [03:28<00:00, 52.13s/it]\n", + "2022-11-13 19:57:29.405 | INFO | gdsfactory.simulation.gmeep.write_sparameters_meep:write_sparameters_meep:500 - Write simulation results to PosixPath('/usr/local/google/home/jmatres/ubc/sparameters/coupler_ring_4778e15a.npz')\n", + "2022-11-13 19:57:29.420 | INFO | gdsfactory.simulation.gmeep.write_sparameters_meep:write_sparameters_meep:502 - Write simulation settings to PosixPath('/usr/local/google/home/jmatres/ubc/sparameters/coupler_ring_4778e15a.yml')\n", + "100%|██████████| 4/4 [03:36<00:00, 54.06s/it]\n", + "2022-11-13 19:57:37.178 | INFO | gdsfactory.simulation.gmeep.write_sparameters_meep:write_sparameters_meep:500 - Write simulation results to PosixPath('/usr/local/google/home/jmatres/ubc/sparameters/coupler_ring_4778e15a.npz')\n", + "2022-11-13 19:57:37.191 | INFO | gdsfactory.simulation.gmeep.write_sparameters_meep:write_sparameters_meep:502 - Write simulation settings to PosixPath('/usr/local/google/home/jmatres/ubc/sparameters/coupler_ring_4778e15a.yml')\n", + "100%|██████████| 4/4 [03:36<00:00, 54.23s/it]\n", + "2022-11-13 19:57:37.824 | INFO | gdsfactory.simulation.gmeep.write_sparameters_meep:write_sparameters_meep:500 - Write simulation results to PosixPath('/usr/local/google/home/jmatres/ubc/sparameters/coupler_ring_4778e15a.npz')\n", + "2022-11-13 19:57:37.838 | INFO | gdsfactory.simulation.gmeep.write_sparameters_meep:write_sparameters_meep:502 - Write simulation settings to PosixPath('/usr/local/google/home/jmatres/ubc/sparameters/coupler_ring_4778e15a.yml')\n", + "100%|██████████| 4/4 [03:40<00:00, 55.14s/it]\n", + "2022-11-13 19:57:41.543 | INFO | gdsfactory.simulation.gmeep.write_sparameters_meep:write_sparameters_meep:500 - Write simulation results to PosixPath('/usr/local/google/home/jmatres/ubc/sparameters/coupler_ring_4778e15a.npz')\n", + "2022-11-13 19:57:41.558 | INFO | gdsfactory.simulation.gmeep.write_sparameters_meep:write_sparameters_meep:502 - Write simulation settings to PosixPath('/usr/local/google/home/jmatres/ubc/sparameters/coupler_ring_4778e15a.yml')\n", + "\n" + ] + } + ], "source": [ "c1_dict = dict(\n", " component=c,\n", @@ -589,47 +1691,139 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 46, "metadata": {}, "outputs": [], "source": [ - "df = pd.read_csv(filepaths[0])" + "sp = np.load(filepaths[0])" ] }, { "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "gm.plot.plot_sparameters(df)" + "execution_count": 47, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
<Figure size 432x288 with 1 Axes>\n",
+       "
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puzVGXfPg0f3ounPcoiAdBazcjSl6lkSX3T6fj5qaGmKxGL///e9bP2y7++67mT59Oj/5yU8YOHAgs2bNSupaDqCMAxXbf0euHj3sB9HaNynB7X3t0Py229Qu3b7rFoUpDKfZLdx6rdvEbq1ZCoOWJrhobWa7ClQzWpveLYqxRVkKYTi1ROHWJHVXYQojoRbpQWtRkAnK0tCd8y17j+53lKd20v88FIpjTlcuu1uQUhKJRFrHGUpKSgCSXrE56f/7x4z+I5YdbVWghu51muAtYd2HR/Pj0X0Ymg9DV81vheJk4cHPH2R97fqk5jk8Zzg/nvTjLs8fzGX37bffzty5cxk5ciS/+93vkipXe0564zCi6Es9LYJCoVC00uKy+4MPPmDhwoXccMMNPPDAA9x22208/fTTWJbFnXfeyUsvvcTtt9/ebXKc9MZBoVAouuJgNfzupCuX3S3nbrzxRh566KFuNQ5q9E2hUCh6ERs2bGDTpk2tx8uXL2fgwIFs3rwZcMYc5syZw/Dhw7tVDtVyUCgUil5EZy67n3jiCaZNm0ZjYyNSSsaNG8fjjz8OwOLFi5k2bRp1dXW89tpr/OIXv2DNmjVHLYcyDgqFQtGL6Mpl90cffdRp+tNOO61bXHarbiWFQqFQdEAZB4VCoVB0QBkHhUKhUHRAGQeFQqFQdEAZB4VCoVB0QBkHhUKhUHSgx4yDEOL/hBDrhRArhRCvCiGyEs79VAixWQixQQhxUU/JqFAoFD3B/fffz6hRoxg7dizjx4/ns88+az131113kZaW1nq8aNEiTj31VAzDYPbs2UmToSe/c3gH+KmU0hRCPAj8FPixEGIkcCMwCugLzBdClEln5RWFQqE4oenKZTdAeXk5dXV1bdJ3l8vuHms5SCnfllKa7uGnQH83fBXwopQyKqXcBmwGJvWEjAqFQnGs6cxld9++fbEsi3vuuYeHHnqoTfqSkhLGjh17wrrs/hrwkhvuh2MsWqhw4zoghPgW8C1wrKdCoVAkk8pf/5rouuS67PaNGE7hz37W5fmuXHZPnz6dK6+8kqKioqTK0xXdahyEEPOBwk5O/beU8l9umv/GWavsr0eav5RyBjADYOLEifIQyRUKhaLX05nL7rvuuou5c+fy3nvvHTM5utU4SCkvONh5IcRtwOXA+VLKFuW+GxiQkKy/G6dQKBTHlIPV8LuT9i67b7rpJnJzcyktLQUgHA5TWlra6qm1O+jJ2UoXAz8CrpRShhNOzQFuFEL4hBCDgKHA5z0ho0KhUBxrOnPZ/e1vf5vKykq2b9/O9u3bSUlJ6VbDAD075jAd8AHvuGuhfiql/I6Uco0Q4mVgLU530/fUTCWFQnGy0JnL7hkzZnSZ/oRz2S2lLD3IufuB+4+hOAqFQtEr6MpldyLBYLA1rFx2KxQKheKYoYyDQqFQKDqgjINCoVAoOqCMg0KhUCg6oIyDQqFQKDqgjINCoVAoOqCMg0KhUPQyOnPZPX36dEpLSxFCUFNT05r2r3/9K2PHjmXMmDGcddZZrFixIiky9BbHewqFQqGga5fdXq+Xyy+/nKlTp7ZJP2jQIN5//32ys7OZN28e3/rWt9qs//BFUcZBoVAoehGduewG6Nu3b6fpzzrrrNbwGWeckbQP4pRxUCgUii744OWN1OwKHjrhEZA3II1zri/r8nxXLrsPh6eeeopLLrkkKXKqMQeFQqHoRbS47J4xYwb5+fnccMMNzJo165DXLVy4kKeeeooHH3wwKXKoloNCoVB0wcFq+N1Je5fdzzzzDLfddluX6VeuXMk3vvEN5s2bR25ublJkUC0HhUKh6EV05rK7uLi4y/Q7d+7kmmuu4bnnnqOsLHnGTBkHhUKh6EUEg0FuvfVWRo4cydixY1m7di2//OUveeyxx+jfvz8VFRWMHTuWb3zjGwD86le/Yv/+/dxxxx2MHz+eiRMnJkUOcWABtuObiRMnyvLy8p4WQ6FQHOesW7eOESNG9LQY3UJnZRNCLJFSdrAoquWgUCgUig4o46BQKBSKDijjoFAoFIoOKOOgUCgUig6o7xwUiuOUUCjCnupa9tU0sK+2ker6IPsbI4RiFgAtk01a5pwYuiArxUdOeoCcjBTystIoyMmgMD+bjPTUniqGopeijINC0YtpjsZYvXEHq7fsYeOeOrbtj1ARklTbfpo1XydXaBy8Q8AGQu5W3RobsJvJ0aL08Uv6pnspzktlcFEOpwwrpmRAHzRNdTKcbCjjoFD0IrbtquTdxetYvKWatbUmu+00LKG7Zz2k2SZ9jCinZ0QpyhDkpPnIy0ihIDuNwtxMpxWQFkBoAgANZ4+mEYvFqN7fQFVtI7UNQWoawtQ2RahpamZPQ4zKsGRb2GB5xI9dLWHdfnh3P347SpHezKAMjWGFGYwbUsSksUPIycromYd0EnD//ffzwgsvoOs6mqbx5JNP8thjj1FeXo7H42HSpEk8+eSTeDwe/vrXv/Lggw8ipSQ9PZ3HH3+ccePGHbUMyjgoFD3I1h17+dcHK/hoSy2bQgYNmtO9o0sf/TWTC/ObGdE3i5ElfRg/vIS8nMwvfK/UgI/szHTKBh88Xdw02bJjL+u27WH19io27ouyvQk+qPPzboOEDXvgjd3kyhCDUi1G9EllQmkRZ51SRkFu1heWT+HQlcvuW265heeffx6Am2++mZkzZ/Ld735XuexWHF/sr2tk2bptbN9by766IPuamqkJxqmNSurjGhGpYyOw0LARTlg4XRd+GSeASUCzSTUkqYYg3avRP9vPkMIshpcUMnLIADIzjr9+8lAkytsfLeed5TtYUm2xTzi171Tby9BAlHF9Tc4eVczZE0aQGuis26j78RgGw4cMYPiQAUxLiLdMiw3bdrNk/XZWbKtmfbXJxpCX8u0Gz22vhvnVZNkhBvjjDM31M3pALqeNLGFk6QB0Q+/yfoq2HI7L7kmTJrW65u4ul93qC2nFUbG/rpFPlm9k1bZ9bK5qYmeTRWXcS5OW0iadkDapspkMzSTLY5PmEXg0ga6BIQSGLjA0gQRCUYumuCQUl4QtQcTWCeHp0MeeZkfI02MMytAY0z+LSSMGMnFMKX6f9xg+gUOzecce/rFwOYu21LEhmkpc86BJi0F6E2f0T+WyM4Zxxvhhx22/fsXeGj5ZsYklmyvZUBNhZ1inVqQgXWPvtWP00SIUpUD/TB+DCtIZ2i+f4YP7MrBvfq8rd+JXxAtnzaBqx9ak5l9QPJgv3fatLs8Hg0EmT55MOBzu1GV3PB7n9NNP59FHH+Wcc85pc+1vf/tb1q9fz8yZMzvN+0i+kFYtB8VhU1PbwIdLN7Bk817WVobYFtap1dJaz3tsPwVamJFpcQblxBjeP4fS/vkU982jsCAHj3F0P7eq/fWs3VzBxl1VbK1sYGddjN1h+KjOx8IGC9ZsQ39lE4UiRGmGYNyAbM4ZN5hTRw45pjXXuGmy8NPVzF28mU8r41S6rYNM28PZWc2cPyaHy6ecQnZm+jGTqTvpX5THdUV5XJcQ19gUonz1FpZu3M3avVF2NErWBz18HvLB3jis2APswbDjpBAjRVik6TZpHsjwaqT7Dby6hq6Brgk0IdA1Z5MSTFti2TamJTFtZ7OlREpnlpbEmaUlkWhC4PdopHgMUv0GqT4PaQEvGSk+iotyKSvpS2527xk/aXHZ/cEHH7Bw4UJuuOEGHnjggVavrHfccQdTpkzpYBhaXHZ/+OGHSZFDtRwUnbK70qkNLt2yj3X7QmyPGNQlGIIMO0yxP8aI/ADjBxcwcUQJpSV9e6QWaJkWKzds59M121i5s5aNtXEqzBSimtOC8Noxij1hRuX5mFjah3NOLaO4X5+k3T8Wi/PhknW8t2IbS3YH2RwNENV8CGlTrDVx1oAUrjprBKeNHdrrasnHmlAkyoatu1i/vZIte+uoqA3TELVoikmCpiBka0SkQUR4scXhGXQhbadzUoLT9kzcgwTiwmhtyXSG346So0XJ99rcc+kwhg4dSkaqH7/PixDiaIt9VMyePZtnnnmG1157jfvuu49ly5bxj3/8o81vaeXKlUybNo158+Yd1DOrajn0cppCYdZvqWD9jkpqG5uJmSZxSxI3LWKmTdyyEQJSfQapPi/pKV7SAl4yU/1kpqWQl51Ofk4m2ZlpR6VsmqMx1m+pYO22PWzZU8e2/SH2BC32xDw0ai39+R6ybA/FgTgX5cc4dUgfzhpfRv+ivOQ8jCSgGzqnjBrCKaOGtMZZpsWKDdv4cMVWlm5vYkODxr8qffxzXyN8VE7AbqbIaKYkQ6esTzpjBhcyrqyY3Ox0Av7O+/pDoQibd1WytaKKHZX17NwfZE1VM1vjTlcRGOTYBhMzokwuy+DqL51KUX7OMXoKxwepAR+njirl1FGlh0xr27bTOjAtTMvCNC0sy0bTBB6Pgccw8Oj6YbUKbdsmEonSEAzTGAzT0BSmPhhmR2UdO6oa2V0fozJsszuq02wL9kUk+yIRdEL4NEmKRyc9xUdqih+tm43Fhg0b0DSNoUOHAgdcds+cOZO33nqLBQsWtPm/7y6X3YfVchBCaMA4oC8QAVZLKauSJkUS6I0tB9u2+Xjpet5cvJEtNRH2hiU1lodgu/74L4ombfwyRgCTFM3Cq0k8GgmbwKsL4rYkHJeETYjYgmZbJ4pOSPja1Ka8dow8rZm+AcmIPqmcWlrIWePK6JOfnRR5e5qGxhAfLl1H+cY9bKoKsSMo2WcHiGltxyg0aeORcbxYeLExhE1QeghpgQ555ssmRmXCmUPz+fKkkQwuLjpWxVF0E2vXrmVgySCawlHCMYtm25k4AaBhk25AbkaAtJSOv4dksGTJEu68807q6+sxDIPS0lJmzJhBYWEhxcXFpKc73ZHXXHMN9957L9/4xjf4+9//3rrmg2EYdKULj6TlcFDjIIQYAvwYuADYhPPVjB8oA8LAk8AzUkr7SB9AsuktxmF/XSP/WriUd9fuZUWj0Towm2aHydPjFKUI+md5GVSQSVn/fPrkZuL3e/B7Pfh8XvxeD16vBykl9U0hGptC1DeGaQo10xCK0BBspi7YTH04SkMkRkPEpClmE4xDzBaYEuJSYEoNE4GJhoGNX1j4NUlAlwQMQaohyEk1GJyfwbAB+Ywe2p9+hXknXbeHbdts2r6bJet2sGVPHaGoSShmEo5ZROI2EQtiliTbp1GU6aV/TjrFfbIY0r+AwcVFPTajSNF9dKZAm6MxGkPNNETiNEsdCXiwyPTp5GWm4vV6ekbYIySZ3Ur/CzwOfFu2syJCiALgZuDfgWeOSuLjBGnbmPEYVtzEti2Q0mn6miavLvicvy/ZzQ47A1MYGBLKAkHOLvVz5bnjGVLS/4j7LgN+n+qW6GY0TWPY4AEMGzygp0VR9GL8Pi9+n5cCIBaPU1MfoiEKNVHYXxUiICyKslNJTfH3tKhJ46DGQUp500HOVQGPJFugY80jv/0Tof1V2LEYMh5FxqNgxhBmDM2Ko9lxNNtCs010aR00r6mdxMlN8K95zqCYpXmwdQ+27kXqHqThRXi8CF8A3RfA8KfgCaTgS0nBn5pGSloqKenppGekk5mRQWZWBllZGaQFvHj0nq3hSykx43HCkWbCkSjxeJx4LObuTeLxOGY8jmXbjm+fFj8/rQOFAsPQMQwDw2NgGLrTh+zx4PN7SQkE8Pu9eHw+NE3NkVf0HrweD33zs+gLBMMR9jdGaDQ1ttQ2k9EQpm9u+nHTkjgYhxyQFkIUAyEpZY0Q4gxgMrBFSvlqt0t3DKjbsBJPuA5b92DpXqThRRp+8Gc6itvwIHQPmseDMDwYHi9oGrVVVewKQUgL4JdRitM1Cvv1AyGwLat1k7azt+Ix7HgUGYshTccQCTMGzVH0YCOGGUVaUYSMY+J4vtnfhcym0IkLL3FXZtvwIQ0f6AboBqJlMzwIw0C0jCsIONB2ESBtpGUhLRNpW2CZYDvHwoojzDjCMhF2HM02WzfdNZQax2amm42GpemOcdUMbN3jGFfdA4b7jgwPmuFBeLzoHg+6x4tueNAMA0030AwD3TAwDAOhaQghEJpAIHAadMJ9JBbSlu67s7FtO+F9ms5mmkjLdNK48dJ91y17bBuQ7nxK23GC17IJgdA0EJoTFgKEhjAMNFdm3fA6e48Hj8+P1+/H6w/gC/gJpKQQSAmQkpJCWnoq6elpZKSnkZYawOfpHYbUjMdobAzR2NhEU1OIUChEOBSmORKhOdJMNBIm1hwl3hzBcp+pZTp72zKRpokE99mINntNNzC8XgyfD4/Xh8fnw+f34w8ESMtIJzMzg+zsTKcilZGB4e2+717SUpyxh1gszu79TTRaGk1VQbK9UJSbid7NlTgpJVLKbukOPqhxEELcC9wKSCHEizhjD+8BlwkhzpVS/iDpEh1j7vvzE0eU/qV5H/PAwl3UeQbSJ7ORr5/Wh9uvnnLUc/jBedGRWJyGhiD19U00NDbR1NhIsKmJcFOQSDBIcyiI3tyMFo1gRJuxo83Y8SjEImBajlK3LYRtImwLzbbgIErc1nSkcDdNQ2o6UjOQugG6B3wpCFcJax4PmuFFeDwIjwfN40PzOgbTaFVqB5SwZhjouqOsErvUhBDYtsSyLWzTxDRdA2pZWPE48XgMKx7DjMUxzRh2PI4Vi2GbMWQ8jh2PgRkDMw6xMERcY+YaL2GbaNJ0yuduycZCwxYaltCRwglLobnPsiXsKDQQzsB/yzNwjYRIMB4C6cpvOYbXtjCkiY1NHGeA71DYCOKal7jmVnR0D7bhBcMHHreVqhtOZafVEDnhlvcjWv84O9uysM24o7RNE2nFHQMYjyHNKLiVHM2MoVkxdCuGx46hH8Ew5IFnqWGjO3uh0TIRVbjPTLhhTTrPxjjMCoopdOKeFCxvKgTS0AJpeNIy8KdlkJKZSXp2Nlk52eTm5pJfkOt+LyGPqBvY6/UwqCiHULiZPXUhamM6DXvryU8xyM9OP2ReUkpMy3ZnZJlYpvv/kFDJlLYNto2UNsK2nd+N0yynYNCQpBuIQ2m0G4ERQAqwEyiUUoaFEAawPKmS9HIizVHunv4v5tWkki8k952Zzr9ddnFSP64SQpDi85JSkENRgRprOBqkdGr/ZjxONBYjFjOJxeLE4nFM00RKsKWNtFs+mHI+oDJ0HU3X0XUN3Z0mqWsaHo8Hr9eLz+fBcM93N6ZlE42bhMLNBINhgqEQoWCYSDhCOOzsm8NhmsNhopEw8UgEok7FwYpFD3STxoOISAxhxdBsy6k0SOuQ3aSJ2AhsTccWBlLTsDXH8EjDB14/IjUT4fWB14f0BcAfcLpIAwGnmzQQwJ+SQiDgJ5CaQkoghdQ0p/Xj8xjomsCjCwxdw3A/dmv5RuHAx21O2LQlUdOiOWYRaY4SjjQTCTcTDIUINjYSbAwSDjYRCQaJhUPEQkHMcBMyHIRICNFQBfEwljRpApqAPQllPft797B3m6/VyNOyuS1OhNamJdPSAm3pOE33CALxKM2mTX1TjHBTEx6P0a4V6Sh6IVs22ZpDZ0ghsHHkkEJzegmE5raCNWQ3NOIPZRyapZQxICaE2CKlDANIKU0hRCz54vROVm/Ywbef/ojdZDI1o4k//MeVpKcmZzqqonsQQrS2YnyB7ply2N0Yuoahe0n1eynISf4XvFJKLNPEise7StHaGux94z4tffpf3L9WKBimqno/1dU11O6vpaG2nqb6OoTXj+YLuDV1C6QJ1oFaeme0jzWAtMQI003ntiRbjA2a4RgdTUfTNTTNrZwYBobujskZOpomjvnHeIcyDllCiGtw2ncZbhj3+Iu7hzyOePKVBfxucSOCAD8/I4WvX3NZT4ukUCQFIQSGx4PhOf4HT78IqWkpDEpLYdCgtjPV1q1bR2G/vp1e47Qw3dq/LVv7/J1uKGjpk0scx6prDLMvbCOAAdl+MtIOXbHszGX3jBkzKC8vR0pJWVkZs2bNIi0tjYcffpiZM2diGAb5+fn85S9/af3m4Wg4lHF4H7jCDS9KCLccHzVCiP8Cfgvku4PeAngUuBSnq/U2KeXSZNzrSGhsCvG9x+bwQVMGA/UIT3xtMiOHDjzWYigUil6EEALR4tbjMBtT+ble/P4IO+si7KiP0SdmHrQl2JXL7t///vdkZDjX3X333UyfPp2f/OQnnHLKKZSXl5OSksLjjz/Oj370I1566aWjLeohp7LeftR3OAhCiAHAhTjjGS1cAgx1t9NxvrM4vTvlaE9NbQPTHnqDXTKDK/qE+b/vXdvrPH0qFIrjh/TUAEM9BtuqGqkMQyRWy4A+2Z264ujKZXcLUkoikUhrN9OXvvSl1nNnnHFG65oPR8uhZivdfbDzUsqHj/L+vwd+BPwrIe4q4Fn3o7tPhRBZQogiKeXeo7zXYVG1v55r/m8ue2Q6956exteuufxY3FahUPRC6l/bQmxPKGn5ZSOJZBo0TO6HrKyjpKjjxJMLL7yQX/3qV5SVlXVw2X377bczd+5cRo4cye9+97sO1z711FNccsklSZH1UFMu0t1tIvBdoJ+7fQc49WhuLIS4CtgtpVzR7lQ/YFfCcYUb11ke3xJClAshyqurqztLckRU7a9n2v/NZY9M45dnZ/K1a6YedZ4KhUJxAEFmqp8M3abR0ti3v6FDihaX3TNmzCA/P58bbriBWbNmAfD000+zZ88eRowY0aHr6Pnnn6e8vJx77rknOaImDqh0teGML6QnHKcDiw7juvnA6k62q4DPgEw33XYgzw2/DkxOyGMBMPFQ95owYYI8GiqrauWZP35BDv7Rv+RzcxYdVV4KheL4Ze3atd1+D8uy5PpdNXLlrjrZ0BQ6aNpXXnlFXn755W3i3n//fXnZZZe1Hr/zzjty+PDhct++fQfNq7OyAeWyE516uF9u9QESp67G3LhDGZ4LOosXQowBBgEr3H6z/sBSIcQkYDeQOH2gvxvXbeytruUrv3uLfTKV/zknh5svn9ydt1MoFCc5mqYxqCCDTVVN7KpvZqjrcBM6d9k9cOBANm/eTGlpKVJK5syZw/DhwwFYtmwZ3/72t3nzzTcpKChImoyHaxyeBT4XQrS4zLgamPVFbyqlXAW0lkIIsR2ndVAjhJgDfN/9Ivt0oEF243jDnn37uebht6kmhfvPzeXGS8/urlspFApFK16vh4HZAbbXRdlW1cjQvtlomkYwGOzgsvuJJ55g2rRpNDY2IqVk3LhxPP744wDcc889BINBrrvOWYtv4MCBzJkz56jlOyzjIKW8XwgxD2hZl+52KeWyo75758zFmca6GWcqa7fNmIo0R1sNw2+m5nP9JWcd+iKFQqFIEumpAfpE41SGYee+ekqKcpgwYQIff/xxh7QfffRRp3nMnz+/W2Q71GylNCllEEA63xp0+N4gMc0XRUpZkhCWwPeOJr/DJeD3MW14JoOLsrnu4jOPxS0VCoWiDQU5GURitTSYzgB1n9ze8X3xoVoO/xJCLMeZarpEShkCEEIMBr4EXA/8GZjdnUJ2Jz++/dKeFkGhUJzkDCjIonlPHVURnUAwfFhfUXc3B53KKqU8H2e20LeBNUKIRiHEfuB5oBC4VUp53BoGhUKh6A1omsagPhlo2Oypj7TM1OxRDjnmIKWcizMOoFAoFIpuwuvxkOPTqI5CQzBMVvoXdyqYDE6uBYMVCoWiF1OQk46GpLqxuadFUcZBoVAoegu6rpPpgYjUCYYjPSqLMg4KhULRi+iTk86fH/stp5xyCmPHjmX8+PF89tlnrefvuusu0tIOrBbx8MMPM3LkSMaOHcv555/Pjh07kiLH0a9tqVAoFIqksaR8MR+9+xYvzn2fUf2zCTY1Eos5DirKy8upq6trk75HXHYLIRZysAWIDzBLSvnsUUujUCgUJzl79+6lqE8BHp+PyrogJYWOy27Lsrjnnnt44YUXePXVV1vT94jLbuC2w8yn/ujEUCgUit7HvHnzqKysTGqehYWFB3Wr3eKy+6opE5g0eSrfvPUWLjj/PKZPn86VV15JUVFRl9cm02X3oRb76dB5JYTIBuplb5iIq1AoFCcYLS67335nPv96611uvukmfvCD/2Du3Lm89957XV7X4rL7/fffT4och+pWuhd4WUq5XgjhA94ExgGmEOJmKWX3OPVQKBSKXkCyauFHiq7rXHLxRQwZM5Gy4SP48fe/SW5uLqWlpQCEw2FKS0vZvHkz4PhXuv/++3n//fdbV5A7Wg41W+kGYIMbvtXd5wPnAr9OigQKhUKhaGXDhg1s2rQJgIJ0P+vXrObfvnoblZWVbN++ne3bt5OSktJqGFpcds+ZM+eYuuyOJXQfXQS8KKW0gHVCCDXTSaFQKJJMe5fdffoN5BcP/h7bttG0jvX5nnLZHRVCjAb24Tja+2HCuZ73DKVQKBQnGO1ddtfUNbEnZLG/Pkh+TgbgGJAWustl96G6lX6A43F1PfB7KeU2ACHEpUB3reegUCgUCpfcrDQMbPaH48f0voearfQpMLyTeOWMT6FQKI4BQggyvILamEY0FsfnLifa3RxqttLAw8ynXkrZmAR5FAqFQtGOzFQ/tbEo9U3hY7YY0KHGHJ45jDwkznrS6gtphUKh6AbSUvzodRGamiV9jtE9D9Wt9KWDnVcoFApF9yOEIKBJQrbW5aylZKO8sioUCsVxQEbAi0TQGDw2rryVcVAoFIpexv3338+oUaPauOz+67NPc/nkU8nOTKOmpqY17b/+9a/WdBMnTuTDDz9MigzqQzaFQqHoRXzyySe8/vrrLF26FJ/PR01NDbFYDK/Xy+hJ5/DV669qk/7888/nyiuvRAjBypUruf7661m/fv1Ry6GMg0KhUPQi9u7dS15eXquPpLw8x2V337592V1dD0CkOdaaPjU1FSEEAKFQqDV8tCjjoFAoFF2wceP/0BRcl9Q809NGUFb28y7Pt7jsLisr44ILLuD6669n8tnnYJmSNN2LAJrqmqkzQtiWxLYkH5S/w89+9jOqqqp44403kiKnGnNQKBSKXoCUknjMwhA+3l/wMQ8/9Bip/kyuv+4G/vToDBqqwkSbTDQp0Ewb4hEMGSQg6rj6qqtZv349//znP/n5z7s2PEeCajkoFApFFxyshn80SFtixm3MmIUZs4hHLcy43SbNmadOYvKp4xlXNpAX/v4K37lxKrow0UScNGMvWXoIsEEKhOgLaEyZMoWtW7dSU1PT2h31RVHGQaFQKLoZy7SJRy3izXHiURMzwU2SwMYQUVK0KIaIsmXrRjy6ZOjggUgJa9cto7hfEZb0EpOpWOhskX3BzMArfWzbvoXTCp1uoKVLlxKNRsnNzT1qmZVxUCgUiiQipcSK28QjUeKROLG4xLZbevAlHhElRWvG0GIYuoWGhW2DZeuY0kdNk8E99/6chsZGdMNgUPEgfvubx3j4qVf445OPUlW9j+u+PJmp553PX/40k7ffm8fX7vg3PB4PgUCAl156KSmD0uJEWe1z4sSJsry8vKfFUCgUxznr1q1jxIgRh51eSonVHCUeaSbWbBE3dWzpGAMNE4+I4tFNDMNEw8SyBHHLS1z6sKQXG/1AZgJ0Q2u3CXRDQzM0NM1R+pt27ycmBSP7ZR+RIeisbEKIJVLKie3TqpaDQqFQHAlWHKs5TCwcIxaTxE2Pq+A1NGw8ehSPYaELC9uSxCyDiBnAMr2tWQgBugFer4Hu0TE8GrpHRzfEYSn7NJ9OdTOEI1FSU/zdUsyT3jiseW8H6AZZBSlkFqSQmuVN2jxhhUJxnGNbEI9gRSNuF5EgZnmx8QA+NGHjMUwMPQ7YmKZG3PIQtQKtWeiajeEV+H06ht+L4dHRDtMIdEV2egrVzWHqg83KOHQXy179nIbogcEbw7DJzDXIKsoku28mef3TyO2fRmZeAKEpo6FQnLCYMaheB7EYVm0F8ahFzNSJ2wEsfIAPISQew0LT4kgpiJuCqOklajpZ6MLE45EYPokn4MfwedD05H8x4Pd58RAkGOu+YYGT3jjceMFiwlXVNOy3qa+1aIjlUV/fl5qavmxdXoh0PwXxeCG3Xyp5A7PIH5BO4ZBMsgtTVCtDoTgeiYUdQ7B3BXbFCvZvq6Sy0qAyWkrWdVewv8lZjlMIiW5IPEJiW2DZgpjpqE0NE48ew/AIPH4vRmoqmnFsFuIBSDGg0dQxTQvD0A99wRFy0huHVxeMIhzzk2PsJDdlH33z6xmTtZS0wEfIWJTaGklNfSo1Zgk1FYPYuGMwq22nyehP0SgamkPRkCyKhmaSPzAdvRtqCQqF4gtiRqF2K1Stg6q12JXrqd9dw/4anRqzhMrYMKrMizGl46rC5zPJFjqaLrAtiZQC0xQIbDyiGZ9h4vHqGAE/eiAd9GNnDNqTmeKjoTFOfVOYvOz0pOd/0huHsqmjqNq2n/1VaVTUj2dZvQ47QGCRpe+hwLOZwsAWRhesJzN9BZodo2F/nL2NReyJj2Tv2tFsW+Esv2F4BP2H51AyNo/i0XmkZft6uHQKxQmOZUKoCpr2QkMF1G5D7t9KtHo3TdVBmhokDVYfauPF1Jgl1FmnYUlHoQshCaQIPD4dK2QhJUSjBrYt0e0wPi2KR7cwfAZ6IAXhzQaj9/xPZ6QF0BpjNEZi5GUnP/+T3jiMu/rADC7bsmmojrB/d4j9O2up2epjV0VfNtR9Ceocg5Fj7KSPZxPFgRWcXfQeft+7hOqb2dvYhz2x0WxfN4ntq/YDG8jrn0rJ2HxKxuRRUJyuxiwUvRbbsolFLKIRk1jL1mxixm1sS2KZNrZpY5kSy7Kd9R/bI5xFaTRdoOsCTdfQdOFuGpoOugaaLtE1iSZsdF0i7DjCjiHsGJqMIawowopiR0PISBN2cwg7EsSKhrGjYeLBELFgmGgoTnMzRO1UojKViJ1Fk5VPk3UhMZnSRjSPR6L7dEQciDlfIkspsJrD5OubyE/ZSr6xlfw+sDfwM7LzDPBm9ZgxuP/++3nhhRfQdR1N03jyySd57LHHKC8vx+PxMGnSJJ588kn8ms3r8+Yx89GH0DQNwzB45JFHmDx58lHLoL5zOAyCdVGqdjRStb2R6i1V7NsZIhp1uo8y9Er6eVdT7FtC39z9+H2S2v2wIzSG7bFJVMbKkGik53gYdkY/hp1eSFaflEPcUaFIDlJKIk1x6qvCNNVECDXECDVECdWGCdeFCDXGCAdtzPjxW3HRNRvDkOgGCN2DaWnEmk1kgjcKQzPJ9u4ll01ke3aRa+wkJ6WWtIEliAGTYMDp0H8CBLKP+DuHZPPJJ59w9913895777Vx2b18+XIuueQSAG6++WamTJnCV264hYrqOkYNKsLn9R7SZfdx852DEOJO4HuABbwhpfyRG/9T4Otu/F1Syrd6TkpIy/aRlp3P4PH5wBBsW7J/d5A9G+vZvT6LrZv6sK7+AqiHHGMng3yfUJaxlFNyVhMNRtleP5iNoamUz41RPnc7hYPSGXZmX0onFOBP7bk+S8WJg5SShuoI1TubqN0TomFPHfWVTTTUmsRibcfBPCJCqlZLql5LH62OFE89Pl8Qrwjj08J4DROvx8TrcZSupoOm2U6tX5NOq0ED0JBoSKEhMZAIJDoWXixpYONxjz1Y0oONBxMvlvRg4UwHtWwDCy+mdPaW7XHC0sC0PcQtDzHTS9T0EDcFZkwSbQbLOmDMLFvDioFhxsn0VJAhKsjw7yXTqCRTryTT2Ed6fjpa4UjoMxr6nAV9RkHWQOeDg17GwVx2tzBp0iQqKiooyMmgICejNT6ZLrt7rOUghPgS8N/AZVLKqBCiQEpZJYQYCfwNmAT0BeYDZVJK62D59eQX0tKW7N8TpGJ9HduXV7JnSxNSCgJaA8W+xQwLfEhRfhORkM3G+vGsj15AXbwfug5DTi1g/JeLyR+Y/AElxYmJlJLGmgj7tjdSva2O6i1VVO+NtxoBgU26XkWWvodMYy+Z+l6yUsOkpzbj98SQCJrjXiJRL6FoCsFoChHT6ZYJ25nE7DRiMoWYDGBKH5Y0sPBwrJ04G0TxaiF8IoRPC+LTQnhFiIDW1GrcUvQGUlNMUlLBl56GyB7gKP2sgZA5ALKKIbM/eA7/W4DE2vXPN1WwOsnLco5OC/A/Q/t3eT4YDDJ58mTC4TAXXHABN9xwA+eee27r+Xg8zumnn86jjz7KOeecA8Crr77KT3/601aX3WeeeWaneR8vLYfvAg9IKaMAUsoqN/4q4EU3fpsQYjOOofikZ8Q8NEIT5PVPJ69/OuMvGEhzKM7OtfvZvqKabaszWV97AZ76CKW+RYzNeJfxA1ZRs9/L+uDZrF9yPhsXV9FvaDrjLxxE8ahcNTah6ECwrpndG+qoWFVBxYY6gkHnX1cnRq5nO0ONreTn7CYvM4TfGyMS81MXTmd/KI/NzWdRH+xPs8zoNG+fJ47Xa+MNgNcnCPh1MgMGnoAXw2ugewx0r7t5POheD5qhIzR3jEE4/wNCc2b1CGEjpIWQNmC5YQuBieYea8TRpImQJrpuY+i2sxcmum6haza6oYMeAC3D+ZxY8zizg7yp4M+CQBZ403pl7f9oSEtLY8mSJXzwwQcsXLiQG264gQceeIDbbrsNgDvuuIMpU6a0GgaAadOmMW3aNBYtWsTPf/5z5s+ff9Ry9GTLYTnwL+BioBn4oZRysRBiOvCplPJ5N91TwDwp5exO8vgW8C2AgQMHTtixY8exEv+wsSybPZvq2fjpXrYs2Uc8Dhl6FcP97zAybwmGobOmajQrw1cQsnLILvAy/qLBlE3qg+FJ/txlxfGBZdns2VDP1s+3UbFuP/UNjjHwi0b6eVfTL3UzedkhdGGxP5RNRUMxOyOjaZZZrXlowiIt0ExmFmTkBUjvk01KXjaBnAxSMrykZHgJpHvRDTX9OpGeHnNoz+zZs3nmmWd47bXXuO+++1i2bBn/+Mc/0LTO39vgwYP5/PPPO3XZ3WtaDkKI+UBhJ6f+2713DnAGcBrwshBi8JHkL6WcAcwAp1vp6KTtHnRdY8DwHAYMz2HKTcPZuryaDR9n8PmGfD4P3UI/7yomZcxmbL8H2LK3H8tqr2ThczE+/+cGJl01jOFnFnbLF5aK3ocVt9m1vpYtH29i25omojEDQ0To513DyOxN5GcHMU2NLbVD+bj2Osxa53sbXcTJSQ8yaKhO3iA/2UMHk1mYSVq2T/12jkM2bNiApmkMHToUgOXLl1NcXMzMmTN56623WLBgQRvDsHnzZoYMGYIQ4vhx2S2lvKCrc0KI7wL/kE7T5XMhhA3kAbuBAQlJ+7txxz0en86w0wsZdnohwbpmNnxWyeqFGq/WjCGrbg8T017i2tI/sbc2h8/rprHwecmKtzdx5nWjKB6dq77GPgGRtqRiQy3r313H9nVhYqaBV4Qo8S2muN8uDM1ia10Zn9Zdg13nA2zy0moZOaKZPsNzyRs5jKy+mcoInEAEg0HuvPNO6uvrMQyD0tJSZsyYQWFhIcXFxa3jCddccw333nsvf//733n22WdPHJfdQojvAH2llPcKIcqABcBAYCTwAgcGpBcAQ3vzgPTRYFk2W5dWs/ytLVRVNOPXmhgbmMPYwmVU1Pfnk/rrabD60m+wnzOvH02fks77jRXHF5FgjPWLtrHmvW00NHrxiSYG+T9nYO5eLKmxouoMauKDEVjkp1XTb6BG3zElFE0cjy+9exytKRx6W7dSMuk13UqH4C/AX4QQq4EYcKvbilgjhHgZWAuYwPcOZRiOZ3RdY+hpfSidWMDezQ0sf3sbn6+6maVbr+PUlFe4rvQPbKwsZfH2a5n9QDNDx2dy9k2jSc3sPV9qKg4PKSV7N9ez5q1VbF4TxZY6RZ7NnNJnBbbQWVZ9LusrzscQUQbmVTJ+XIji887Bn5PV06IrTkLUR3C9kPp9YRa/tpmN5TX4tCBnpj3HkL6VrKgYzbLQVRgenXNuGkXZGUWqq+k4QErJjhX7WPz35VRVe/GKEMNSP6Ioax8basawo3k8Pi3IoMJ9DJ7Qj/7nnoMnTU1t7ilUy8GNV8ah91K9s4lPZq9j18Yg6XoVkzOfJTsrzsJdV7M3PoLioV6mfu005cOplyKlZPuKfSyevZzqGi8ZeiVjcz7ARqe85iJiMpV+6dsYdVoGgy+7GD1VGYTegDIODie9b6XeTP7AdK68exK71tby8Strmbf3h+Q1buHCoqfZGRrBp5uv5W/3vs/Z1w1jxDkDVSuilyClZPtyp6XgGIVaJue9z/5IHz6svpYUrZ7RgysYefFEMsd8vafFVSg6RbUcjhOkLdm0ZB8fv7SWcNBmYupLDC3azXs7LmFPfBQDBwnO+/ZZpGapVkRPUr2jgfef+oR9VV4y9L2My15EVbiIDeFzyPPtYsKZOoOuuAI9NaunRVV0gWo5OKiWw3GC0ARlpxVSPDqPj19ex+JPbmLjtj1cXPRn9jav5OPt03j5F+9y8fdOo6is48cviu4lGjH57MVyVn8WxK+FOTvvn1SHi/ig5noKfDu47MuVFF9xA8IbOHRmCkUvQE2OPs7wBQy+dOsYrvzBeOy0vrxU8XMawgGuGfIkhlnLP3+/jNVvreVEaRH2dqSUbPpkBy/85B1WfRZkZNpCSlM+4aOaa2my+3LFRXu59v9uouQrtyjDoDhs7r//fkaNGsXYsWMZP348n332GV//+tcZN24cY8eO5dprryUYDALwxBNPMGbMGMaPH8/kyZNZu3ZtUmRQ3UrHMbFmk89e3cDK9ytJ16u4qOhpFtdcxI7mUxgxRjDlW1OUC45upL4yxPtPfUzFLp18YzPDMz9lce2VpBiNTD4P+l92nTIIxyE93a3UlcvutLQ0MjKc75zuvvtuCgoK+MlPfkJjY2Nr/Jw5c/jTn/7Em2++2WneqlvpJMHrNzjnplGUntaP+X9ewj8qfsj5OY+Tn7KX8lWXsv+Xc7n4P88nPU+tH5FMpJSse3cTi/6+HV1GOSNrLjtDw/i09iucVraRsV+7BT2zoKfFVByndOWyuwUpJZFIpHUCSothgBPEZXeyORlbDok0h+LMn1HOjg0RRgXmMSC/lgW7pmEYcMl3xlM0qmsXwYrDJ9Zs8v7Mj9i42qK/dyUFvq0sb7qcwZlrOfvfJpI25uhX4FL0LIm16/teW8PaPY1JzX9k3wx+ccWoLs8fzGX37bffzty5cxk5ciRvvPEGKSlOxe+Pf/wjDz/8MLFYjHfffbfVL9PBytZCVy0HNeZwguBP9XDZf5zBxIv6sSZyCUv3nMaVg2fhs+uZM301u5Zs7mkRj3v2VzQx+xfvsHF1nFPS5xCxUtkamcTl5+/govvvUIZBkRRaXHbPmDGD/Px8brjhBmbNmgXA008/zZ49exgxYgQvvfRS6zXf+9732LJlCw8++CD/+7//mxQ5VMvhBGTr8irmP7UC3QpyYdEsPqq6mnqzLxf/ez9Kzhrd0+Idl6x7bzOLXt6KhyZOSX+D8sZpDMtfx1nfvw6jYFBPi6dIIj095tCeRJfdLSxatIiHHnqI119/vU1a27bJzs6moaGh07xUy+EkZ/D4Aq7777MIZGXy2u7vMy79TXI9u5j37F42L1AG9Egw4xYL/vQB7764kz7Geob4PqG88WrOm7SVKb/4T2UYFElnw4YNbNq0qfV4+fLlDBw4kM2bnda/lJI5c+YwfPhwgDZp33jjjS67lI4UNSB9gpJdmMq1907hncc/590N32ZK1tNs0ibz9itDsKIfMezSs3taxF5PrNlk7m/fZXeFwSlpr7G7eRhVDOf62zxknv4fPS2e4gSlM5fdTzzxBNOmTaOxsREpJePGjePxxx8HYPr06cyfPx+Px0N2djbPPPNMUuRQ3UonOJZl887ji9myOsRZmX9lZ2wCFZEypn4ZRn2ly+U2TnqaQ3Fee3AB1VU6p6W/worgpQzPX8eZd92Mnlfc0+IpupHe1q2UTFS3kqIVXde48LunMezUDD5uuIUifSXFaet47x2NlS+80dPi9UpC9VFe/Z/51FQJJqW/yKrgRZx32lYm3/tfyjAoThqUcTgJ0HSN878xgVFnZLM4eD1ZcjODMlbzwaIAm99Y0NPi9Soaq8P8438W0Nhgc1raS6wKXsxll4cY/LW7wfD2tHgKxTFDGYeTBKEJzr11POOm5LMidBUp8Z0UBrYw/7U4ez9b3NPi9Qr27w7y9/vfJxqOc2rqq6wJX8hVNwj6XPbVnhZNoTjmKONwEiGE4OybRjPhgj6siVxKrthEmqeOuc/spX7Txp4Wr0ep2dnAqw98CLEQo1PmsSFyLtNuyyBn6rU9LZpC0SMo43CSIYTgjGtHMfHLfVgTvpiywAeA5PU/LCOyb19Pi9cjhOqjvP7wh3isRsr877MjdhrXfHcgGZMu7WnRFIoeQxmHk5RJ14xk2ClpLG68lgnZcwnGMpn30JuYoaaeFu2YEo9avPF/C4hFYYj/Q/ZZI7n6B+NIGX1uT4umUPQoyjicpAgh+NLXJ9KvWOeT/ddwRsEb7A0NYMEDf0PG4z0t3jFB2pL509+jZr+HsSlzqLaHccU95+Ib0mFWn0JxTOnMZXcLd911F2lpaa3H3eWyWxmHkxjd0Lj4rrPIyNIpr76AiQUL2Fxdyqe/fwpOkO9fDsanL3zO1k2C8alz2Bk9jUvuOA1P/5E9LZbiJOeTTz7h9ddfZ+nSpaxcuZL58+czYMAAAMrLy6mrq2uT/uabb2bVqlUsX76cH/3oR9x9991JkUMZh5Mcf6qHy//rLIQ3wMaaEYzMXcrSrWVs+fvLPS1at7Lu3Q0s/TDEsMC77Gwex0U35uAvm9TTYikUnbrs7tu3L5Zlcc899/DQQw+1Sd9dLruV+wwFmfkpXHrnJP718GJqG+ooCOzk3QW55I1cRubIU3pavKSze+0+3ntlJ/29q6mPFTL1vGYyJ1/T02IpeiPzfgKVq5KbZ+EYuOSBLk9feOGF/OpXv6KsrKyNy+7p06dz5ZVXUlRU1OGa9i67k4FqOSgAKCrN4vzbRlNpjiLT3gpC8PaMFVjBukNffBxRXxli3p+WkqntwSDMKaNqKLzmez0tlkLRSmcuu3/961/zyiuvcOedd3Z6jXLZfRCUb6XksHjOBj6fu5tTMt5gWeNljO2/hnP++/uQpKZqT2JZNrP/31yC9Sal/g/JyPNzyo/+H3j8PS2aohfR23wrzZ49m5tuuonc3Fz8fue3unPnTgYPHtzqqbUF5bJb0W1MvLyMgUM8rGz8MiOyPmVlxSi2vvx8T4uVFJbOXkxNXQrDAwvAl874u+5ShkHR6+jMZfe3v/1tKisr2b59O9u3byclJaXVMCiX3YpjgtAE53/7dF765XvsaexHvn8X776XTd6oz8kYffwO2NbsrKf8vQYG+cpplH256D+uQqSrdZ4VvY/OXHbPmDGjy/Td5bJbGQdFB1IyvHz5mxP516PLKJPv0yBO562Zq7nmV4PRM/IOnUEvw7JsFvzpA3wijk6MydeNRCtSU1YVvZMJEybw8ccfHzRNMBhsDT/66KPdIofqVlJ0Sv8ROUy8qC8bo1MZnb6AquYSPnn0WbDtnhbtiFk2+3Nq6lMZ6n+foUMipJ55XU+LpFD0epRxUHTJaVcOo2+xwcrGCxiR9Tkrdo9n28vJabIeK2p21rN4YSODfJ8iNR+Db/vBCTG4rlB0N8o4KLpE0zW+/J3TMbwe9jXlke+vYMH7uTSuOT5cfDvdSYvwaUG8IsgZN5wKGR3niCsUio4o46A4KGnZPs7/+nhqrcHksRYpNN7682qsYH1Pi3ZInO6kNIb632f08Ca8E2/oaZEUiuMGZRwUh6RkbD7jv9SHdc0XMi7jbaqai/n4sb/1av9L+3fUud1Jn5HqDVN4889Ud5JCcQQo46A4LM74yggKBxgsa7iYkZkfsXLnMLa8+mpPi9Up0pYseNzpTkrVahh//XmqO0mhOEKUcVAcFrqhcdEdp+PxedjbNIAC/w7efcdDw8b1PS1aB9a/s4Lq+nSG+D5i3KgGtFNu7GmRFIojojOX3dOnT6e0tBQhBDU1NR2uWbx4MYZhMHv27KTIoIyD4rBJy/Zx4XcmUG/3J0NuRwh46/HFWJFIT4vWSiwc5+M5uygwNtInsIOs6/9HdScpjiu6ctl99tlnM3/+fIqLiztcY1kWP/7xj7nwwguTJocyDoojov/wHM64ciCbo+cyKnUB1ZF+fPTYSz0tViuf/OUdmq1U+vtWMGzapao7SXHc0ZXL7lNOOYWSkpJOr/nDH/7AV77yFQoKkvfVf499IS2EGA88AfgBE7hDSvm5cJyRPwpcCoSB26SUS3tKTkVHTrlkKPs2VrNs/WWMzFjEqm1TyHz+NcbecnnSfMl/Eep217J2tc4g36eMHbgFMWF6j8miODF48PMHWV+b3K7T4TnD+fGkH3d5viuX3V2xe/duXn31VRYuXMjixcmbZt6TLYeHgPuklOOBe91jgEuAoe72LeDxHpFO0SVCOP6XMjNtdjYNoyR1JR9+mMrCR17DivfcF9QL//A2ujAp879H6lX3gqb3mCwKxRelM5fds2bN6jL9D37wAx588EE0LbnqvCd9K0mgZQmjTGCPG74KeFY6vsQ/FUJkCSGKpJR7e0JIRed4AwYX33U2s+//mHh0LxMK3mPJhqnU/Woul9xzISkZ3mMqz5q3VrC3voDRKfMonVAIJZOP6f0VJyYHq+F3J7quM3XqVKZOncqYMWN45plnuO222zpNW15ezo03OpMuampqmDt3LoZhcPXVVx+VDD3ZcvgB8H9CiF3Ab4GfuvH9gF0J6SrcOEUvI7dfGl/692HsNsezuy6f8/r+jZoajVd+sYCq7Y3HTI5Ys8mS1zaQru9jQvo/4Mv/c8zurVAkm85cdnc2CN3Ctm3bWl15X3vttfzpT386asMA3WwchBDzhRCrO9muAr4L/KeUcgDwn8BTXyD/bwkhyoUQ5dXV1ckWX3EYlJ1ZzJdvHUqDGMJ7e77CubnPQrSBfzz0GRs/OzaNvfcefY0mM49TUv5J2pTbILvrfySForcTDAa59dZbGTlyJGPHjmXt2rX88pe/5LHHHqN///5UVFQwduxYvvGNb3SrHD22EpwQogHIklJKdxC6QUqZIYR4EnhPSvk3N90GYOqhupXUSnA9S3MwxiczXmftxkzOSp/F9uZJ7ImPYvC4XAafUkDx6Dz8aZ6k33f7ir2880Q5uZ4dTBvwB8RdS8CXlvT7KE4eettKcMnkSFaC68kxhz3AucB7wHlASztqDvB9IcSLwOk4RkONN/Ry/GlevnT3NQxf9C7vv3I+JZ7PKPSuZ/3qL7N1xX6EgD6DMhg0Lp+SsXlkF6Yc9cym3RvqKH96HnE5gLPTnkJc+CtlGBSKJNGTxuGbwKNCCANoxpmZBDAXZxrrZpyprLf3jHiKL0LRlPO4bsQWVvxxDXUNXi7K+A26ZrK9+TQ27TibT7Y28smrW9A9Grn9Uhk0Np+iIZnk9ks77JZFU20zH83eRM2K5TRYAxmRspA+JdkwRq3ToFAkix4zDlLKD4EJncRL4HvHXiJFstDzh3DqT+8l8urPqF/jJWr6KAksY0zmu1hxk+3RSaxtvoiq7cXuwLXTggike8gfkE7fsiz6lWWTX5yOrh8YFjPjFsvf2UX5vG1kyh00WAMZnLqEKWkz4NJ5kOSpfArFyYxaJlTRPfjSCdz4BwKxEGx9DzbMg41vgb2fMSnzGJP5PnWRLNZHzmN99ELCZjrxSIyqHY3sXFsLgOHT6Tskk75lWaRm+Vj8+jYaa0LkB/ZRHRnIqfmLOEP/A2LstdC/Q5epQqE4CpRxUHQv3lQYfpmz2TbsXeYYilWzyY5v48yslznd8yY764tZFzmf7aFJgEafvgaB3CwaaiJ8+s+tAOTkQ3agjppIH6YOfINRsZkwaApc+tDBZVAoFEeMMg6KY4emQb8Jzval/4YdH8Oy59HW/pMS/xJKcnYQEq+zunIcayovZN8ei6z0CGdckI83xUP53B2YVoArSv/GgODf4ZR/g8t+D8ax/eBOoTgZUJ20ip5BCCg5G6Y9Dj/cCFdOh9xSUkNrOT3rH9w67gkuGPgPvM27+HR+kEVz6tBkjGtKZzqG4fx7nWuUYVCcgHTmsvuWW25h2LBhjB49mq997WvE4/E21yTbZbdqOSh6Hl86nPrvzrZvLXw+A33lSwyLf8awsROo9J7Njj3ZjNZfITW8Ba79C4z+Sk9LrVB0C4kuu30+HzU1NcRiMW655Raef/55AG6++WZmzpzJd7/7XaB7XHYr46DoXfQZCVc8Ahf8ApY9D5//mcLdj1EIEMiBW+fAwDN6WEiFovvozGU3QN++fVvTTJo0iYqKitbjFpfdyfTKqoyDoncSyIaz7oQz7oBNbzsznc66E3KH9LRkipOIyl//mui65Lrs9o0YTuHPftbl+UO57I7H4zz33HM8+uijwInpsluhODSaDsMucVoTyjAoTgIO5bL7jjvuYMqUKZxzzjnAiemyW6FQKHo1B6vhdydduey+7777qK6u5sknn2xN210uu5VxUCgUil7Ehg0b0DSNoUOHAgdcds+cOZO33nqLBQsWtGklbNu2rTV82223cfnllyfFZbcyDgqFQtGLCAaD3HnnndTX12MYBqWlpcyYMYPCwkKKi4s588wzAbjmmmu49957u00OZRwUCoWiFzFhwgQ+/vjjDvGmaR7y2oMtJ3qkqAFphUKhUHRAGQeFQqFQdEAZB4VCoVB0QBkHhUKhUHTghBmQXrJkSY0QYscXvDwPqEmmPMcBqswnBydbmY+6vO+8884Yy7IOPfrbS7Asy9B1/bDkraysNEaOHLmqXXRxZ2lPGOMgpcz/otcKIco7W2D7REaV+eTgZCtzMsq7YsWK7aNHjz5uDOrq1atHjB49et3hpLUsK+9wn4/qVlIoFIpexo9//OPC0tLSUWVlZSOHDx8+8t133029/vrri4cNGzayrKxs5MUXXzy4oaGhjf6eNWtWlhBiwqJFi1KSIYMyDgqFQtGLmD9/fupbb72VtWrVqrUbN25cu3Dhwo2DBw+OPfHEE7s2bNiwduPGjWv79+8fe/DBBwtarqmrq9OmT5/eZ+zYsaFkyaGMg8OMnhagB1BlPjk42cp83Jd39+7dnpycHDMQCEiAoqIis6SkJJ6Tk2MD2LZNJBLRhBAA5OXlVf/Xf/1Xvx/+8IeVPp9PJkuOE2bM4WiQUh73P6gjRZX55OBkK3Oyy7vg2XUDancHk9JN00JOv7Tw+V8dsaur81dffXXjb37zm74lJSWjJ0+e3HjTTTfVXnbZZUGAa6+9tmThwoWZpaWlkSeeeKICYPPmzeHdu3dn3njjjQ0PP/xwYbLkVC0HhUKh6EVkZmbaq1evXjt9+vQd+fn55q233jrkscceywWYPXv29n379q0YOnRo81/+8pdsy7K4++67Bzz22GNdGpsvipAyaa0QhUKhOO5ZsWLF9nHjxvWa2UpPP/109nPPPZf77rvvbm6JmzdvXtpDDz1UOHv27G2lpaWjU1JSbICamhpPZmamOXv27M1TpkwJt89rxYoVeePGjSs5nPuekC0HIcRfhBBVQojVCXG/FELsFkIsd7dLE879VAixWQixQQhxUUL8xW7cZiHET451OY6EIymzEOLLQoglQohV7v68hGsmuPGbhRCPiZaOzV7Ikb5n9/xAIURQCPHDhLgT8j2758YKIT4RQqxx36vfjT8h37MQwiOEeMYt2zohxE8Trjku3vOKFSt8b7/99uBly5aNW7Vq1ahly5YF+vXrF1u9erVv7969BStWrBj1t7/9bUhJSYknNzfXqqurW/HZZ59Vz5s3T44ZM4Znn312b4thqK2tzVi5cuXolStXjq6oqDiiLqcTdcxhFjAdeLZd/O+llL9NjBBCjARuBEYBfYH5Qogy9/QfgS8DFcBiIcQcKeXa7hT8KJjFYZYZ5yOhK6SUe4QQo4G3gH7uuceBbwKfAXOBi4F53SX0UTKLwy9zCw+TUB4hhM4J+p6FEAbwPPDvUsoVQohcIO6ePlHf83WAT0o5RgiRAqwVQvwN2MVx8p4bGxv1H/3oR/6mpiZb0zTfoEGDAk8//fSOyy+/fFhTU5NXCBEbMWJE45///OfdAKFQyF9fX58zevToNUKIYbW1tYVSymqAioqKgUOHDt3o8/nia9euHWGaZt3hynFCGgcp5SIhRMlhJr8KeFFKGQW2CSE2A5Pcc5ullFsBhBAvuml73Y8JjqzMUsplCYdrgIAQwgfkABlSyk8BhBDPAlfTS5XGEb5nhBBXA9uAxOl+kzhB3zNwIbBSSrnCvXY/gBCiiBP3PUsg1TWMASAGNHIcvedzzjknvHz58rXNzc3eTZs2DR0zZswWgJdffjmSl5e3Mzs7uykxfV1dXVZWVlatpmly8eLF69evXz+0qakpFcDr9UYDgUAMICsrq3b79u2phyvHCdmtdBC+L4RY6TZTs924fji1ihYq3Liu4o83OitzIl8BlrrGsR9OOVs4YcoshEgDfgzc1y7tifyeywAphHhLCLFUCPEjN/6Efc/AbBzjvxfYCfxWSlnLCfCeo9Gov6mpKX3NmjXD165dO6ypqSkFIB6Pe71eb6wlncfjicViMW8sFvN6PJ7WeK/XG7NtWz/c+51MxuFxYAgwHueH87selebYcNAyCyFGAQ8C3z7mknUfXZX5lzjdEMGeEatb6arMBjAZuMXdTxNCnN8TAnYDXZV5EmDhdBEPAv5LCDG4JwRMNlJKYVmWPnLkyPX9+/fftXXr1iHdOaHohOxW6gwp5b6WsBDiz8Dr7uFuYEBC0v5uHAeJPy44SJkRQvQHXgW+KqXc4kbvxilnCydSmU8HrhVCPARkAbYQohlYwon7niuARVLKGvfcXOBUnHGIE/U93wy8KaWMA1VCiI+AiTithuP6PXs8nlh2dna9EIKMjIywEELG43GjpaXQki6xJRGPx1vjY7GYV9M063Dvd9K0HNx+1hamAS0zH+YANwohfEKIQcBQ4HNgMTBUCDFICOHFGbSecyxlPlq6KrMQIgt4A/iJlPKjlgRSyr1AoxDiDHf2yleBfx07iY+ersospTxHSlkipSwBHgF+LaWczgn8nnEmGowRQqS4ffDnAmtP5PeM05V0npsmFTgDWM8J8J6zsrLqGxsb0wHC4bDPtm3N4/GY2dnZ9fX19Tm2bYtIJOKNRqP+9PT0UFpaWigajfojkYjXtm1RX1+f4/f7O0xv7YoTsuXgzk6YCuQJISqAXwBThRDjcQastuN2pUgp1wghXsYZmDKB70kpLTef7+P8g+nAX6SUa45tSQ6fIykz8H2gFLhXCNGyQvmFUsoq4A6c2SEBnAHKXjlICUdc5k6RUpon6nuWUtYJIR7GUYwSmCulfMPN6kR9z38EnhZCrAEE8LSUcqWbz3Hznjdt2jQoFAqlW5ZlLF++fGxRUdGegoKCmq1bt5asWrVqlBDCLikp2SaEIDU1tTkrK6t29erVowAGDBiwQwiBEIIBAwbs3LRpUxlATk5Ozf79+w/bFbn6CE6hUCgS6G0fwSWTk/4jOIVCoTie6cxld8u52267bUBKSsop7a9JtsvuE7JbSaFQKI5XEl12BwIBuXfvXiMajQqARYsWpdTX13fQ28plt0KhUJzgdOWy2zRN7rnnnv6PPvpoRftrlMtuhUKhOIa89fgjA2p27Uiqy+68AcXhi777gyN22f2b3/ym4NJLL60vLi6OJ6b/8MMPU3bv3u1NtstuZRwUCoWiF9HisvvNN99MX7BgQfqtt9465Bvf+Ma+d955J/PTTz/dkJi2xWX3c889ty3ZcqjZSgrFYSCEeA/4oZSyPIl5ZgE3Syn/5B5Pde9x+WFc+wjwDynloiTI8SLwcynlpqPN60Sgt81Wevrpp7O/+c1vDsrKyrJ8Pp8NsHfvXm///v2jy5YtW6dcdisUJx5ZON8bHBGud9UzkmEYXB4HfnTIVIpjwooVK3yrVq3ytRwvW7YscPPNN9fU1NSs2L1796rdu3ev8vv99s6dO1e3uOxuiR83blyoK8NwpCjjoDhuEULcI4S4yw3/Xgjxrhs+TwjxVzf8uBCiXDjrGdznxl0shHglIZ+pQojX3fCFwln/YKkQ4hXXYV/7+3aaRgixXQhxnxu/Sggx3I3PF0K848owUwixQwiRBzwADBHOegT/52afJoSYLYRYL4T4q/sFc3u+AryZIE9X9/2lcNY2+MC95zVCiIfcNG8KITxuFh8AF7hfUSt6mMbGRv2rX/3qoCFDhowqKysbuX79+sCDDz6451jLoYyD4njmA+AcNzwRR7F63LiWWvV/SyknAmOBc4UQY4H5wOmuewWAG4AXXYX9/4ALpJSnAuXA3Yk3PIw0NW7840DLgkK/AN6VUo7C8Ro60I3/CbBFSjleSnmPG3cK8ANgJDAYOLuTcp+N4xMqkc7uC45zuvOAK3F8Ki2UUo4BIsBlAFJKG9gMjOvkXopjzDnnnBNetmzZ+i1btqzZuHHj2rfffntLUVFRmy+bw+Hwss6u/fzzzzcko9UAyjgojm+WABOEEBlAFPgEx0icg2M4AK4XQiwFluEs6DRSSmni1LyvcGvLl+H4FjoDRyl/JIRYDtwKFLe756HS/CNBthI3PBl4EUBK+SZwsAVXPpdSVrgKe3lCHokUAdXt4jq7L8A81wndKhy3ES0tjlXt0lXheDJVKAA1W0lxHCOljAshtgG3AR8DK4Ev4fiNWiccR4o/BE5z/QzNAvzu5S/i+JiqBcqllE1uF847UsqbDnLbQ6WJunuLL/b/FU0Id5VHhAPlONR9o+C0DoQQcXlgBordLp3fzVehAFTLQXH88wGOAVjkhr8DLHOVYAbOwi8NQog+wCUJ172P4776m7i1euBT4GwhRCk4Xj3FgSVjOYI07fkIuN5NfyHQsjBNE5B+ZMUFYB2OAUwmZRzwbHqyY9u23WvX1P6iuGWyDze9Mg6K450PcLpZPnF9/De7cbjLYy7Dcdn8Ao6Sxj1n4awBcIm7x1139zbgb0KIlTjdVMMTb3Y4aTrhPuBCIcRqnDWOK4Emd9nOj4QQqxMGpA+HN3C8lCYF13BGpJSVycrzOGd1dXV15olkIGzbFtXV1ZkcQQVAfeegUHQzwlmf23Ldg58JPC6lHH+UeX4IXC6lrE+CfP8JNEopnzravE4ElixZUmAYxkxgNCdOBdoGVpum+Y0JEyZUHc4FyjgoFN2MEGIo8DKOookBd0gpFx9lnqfj1PZXJkG+24Hn3IF6hQJQxkGhUCgUnXCiNJkUCoVCkUSUcVAoFApFB5RxUCgUCkUHlHFQKBQKRQeUcVAoFApFB/4/Nge7yozyFbYAAAAASUVORK5CYII=\n" + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "gm.plot.plot_sparameters(sp)" ] }, { "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "gm.plot.plot_sparameters(df, keys=[\"s31m\", \"s41m\"])" + "execution_count": 48, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
<Figure size 432x288 with 1 Axes>\n",
+       "
\n" + ], + "text/plain": [ + "\u001b[1m<\u001b[0m\u001b[1;95mFigure\u001b[0m\u001b[39m size 432x288 with \u001b[0m\u001b[1;36m1\u001b[0m\u001b[39m Axes\u001b[0m\u001b[1m>\u001b[0m\n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "image/png": 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\n" + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "gm.plot.plot_sparameters(sp, keys=[\"s31m\", \"s41m\"], with_simpler_input_keys=True)" ] }, { "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "gm.plot.plot_sparameters(df, keys=[\"s31m\"])" + "execution_count": 49, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
<Figure size 432x288 with 1 Axes>\n",
+       "
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\n" + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "gm.plot.plot_sparameters(sp, keys=[\"s31m\"], with_simpler_input_keys=True)" ] }, { "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "gm.plot.plot_sparameters(df, keys=[\"s41m\"])" + "execution_count": 50, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
<Figure size 432x288 with 1 Axes>\n",
+       "
\n" + ], + "text/plain": [ + "\u001b[1m<\u001b[0m\u001b[1;95mFigure\u001b[0m\u001b[39m size 432x288 with \u001b[0m\u001b[1;36m1\u001b[0m\u001b[39m Axes\u001b[0m\u001b[1m>\u001b[0m\n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "image/png": 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83dn8vH0vl74+kSeHLmTPgcNhhyYSM0JLImZWwsxGm9my4L14OmUam9kUM1tgZnPNrHuabWZmT5nZUjNbZGZ9svcMJBqYGVc1rcT3D7bn2mZV+GjyKs5/cSzD527AXU1cImcqzJpIX2CMu9cCxgSfj7UXuMndGwBdgFfMrFiw7WagMlDX3esBn2d5xBK1ihbIw9NXNGTQnS0pWTCRu/81kx4faRIskTNlYf01ZmZLgPbuvsHMygNj3b3OSfaZA1zt7svM7EfgendffqrHTE5O9pSUlDMLXKLe4SNH6T9lDS+NXsrBI0e5p0NNerarTmJCfNihieRIZjbD3ZPT2xZmTaSsu28IljcCZU9U2MyaAXmBFcGqGkB3M0sxsxFmVivrQpVYkhAfxx9aV+O7B9rRuV5khOCLXp3AlBXbwg5NJOpkaRIxs+/MbH46r25py3mkOnTcKlFQU/kEuMXdUx9HTgT2B9nxPeDD4+x7R5BoUrZs2ZIp5yWxoVzRfPzjhiZ8dMu5HDxylOvem8qDX85h254DYYcmEjVyfHOWmRUBxgJPu/vANOsXA13dfZWZGbDT3Yue6JhqzpLj2XfwCK9/v4x3x6+kUL4EHu1al981rUxcnIUdmkjocmpz1tdAj2C5BzDk2AJmlhcYDPRPm0ACXwEdguV2wNKsCVNyg/x543mkS93IsyVlCvPHf8/j2nensmzTL2GHJpKjhVkTKQl8CVQB1gDXuPt2M0sGern7bWZ2I/ARsCDNrje7++zgLq1Pg/33BPvMOdExVRORU3H0qDNwxlqe+mYRew8eple7GtzdoSb58qjjXXKnE9VEQksiYVASkdOxdc8Bnh6+iEGz1pFUsgBPXdGQVjVLhR2WSLbLqc1ZIjlaqUKJvNS9Mf+8tTkAN7w/jQe+mK2Od5E0lERETqJ1rVKMvK8tvTvWZOjc9Zz/0jgGzlirJ95FUBIROSX58sTz4AV1+KZPG2qWLsRDA+Zww/vTWLVVT7xL7qYkInIaapUtzJc9W/DUFWcxb90uLnxlPP/4YTkHD2s2RcmdlERETlNcnHFD86qMeaAdneqV4flRS7j09YnMWLMj7NBEsp2SiEgGlSmSjzdvaMp7NyWze/8hrn57Mn8ZMl9DzUuuoiQicoY61y/L6Afa0aNFEv2nrqHzS+P4buGmsMMSyRZKIiKZoFBiAo9f1oB/39mSIvnycFv/FO7+10w2/7I/7NBEstQpJREzizOzc8zsYjPraGZlsjowkWjUpEpxhvZuzYOdazN6wSY6vTiOL6b/pNuBJWad8Il1M6sB/BHoBCwDtgD5gNpEJox6B+iXZmTdHE1PrEt2WrFlD48OmsePq7bTonpJ/n5lQ5JKFQw7LJHTluFhT8zsM+AtYIIfUzCojVwP7HD3fpkYb5ZREpHsdvSo89n0n3jmm8UcPHKUBzrX5tbW1UiIV0uyRA+NnRVQEpGwbNy1nz8Pmc/ohZtoUKEIz17ViLMqnnDmApEc44zGzjKzqmZWKlg+z8weMrMrMjtIkVhWrmg+3v19U968oQmbdh+g2z8m8cyIxew/dCTs0ETOyAmTiJn9H/A9MNXM/ga8ApQC+pjZK1kenUgMMTMualieMQ+046omFXl73Aq6vjqBqSs1La9Er5P1iSwEGgMFgJ+Acu6+18wSgNnufla2RJlJ1JwlOcnk5VvpO2geP23fy/XNq9C3a12K5MsTdlgi/+NMmrP2u/tBd98JrHD3vQDufhg4mLlhiuQuLWuWYtR9bbm9TTU+//EnLnhpvB5SlKhzsiRSzMyuNLOrgCLBcupn9QqKnKH8eeN57OL6DL6rFcUKRB5SvOdfM9mqOUskSpysOeujE+3s7rdkekRZSM1ZkpMdPHyUt8et4I3vl1MgMZ6/XFqfyxtXxMzCDk1yOd3iG1ASkWiwbNMv/PHfc5n5007a1ynNU1c0pGKx/GGHJbnYmTxs+MCJvtjdXzrD2LKVkohEiyNHnf5TVvPcyCXEGfTtWpcbmlclLk61Esl+Z9KxXjh4JQN3AhWDVy+gyRkGVcLMRpvZsuC9eDplGpvZFDNbYGZzzax7mm3nm9lMM5ttZhPNrOaZxCOSk8THGbe0qsa397elSdXi/HnIAq59dyortuwJOzSR/3JKzVlmNh642N1/CT4XBoa7e9sMH9jsOWC7uz9jZn2B4u7+x2PK1Abc3ZeZWQVgBlDP3Xea2VKgm7svMrO7gGbufvOJjqmaiEQjd2fgjLX8ddhC9h8+yv2danN7Gw2dItnnjJ5YD5Tlv2/pPRisOxPdgNQxt/oBlx9bwN2XuvuyYHk9sBkonboZKBIsFwXWn2E8IjmSmfG75Mp892A7OtYpw7MjF3P5m5NYuH532KGJnHJN5DHgGmBwsOpy4At3/3uGD2y2092LBctGZCDHYico34xIsmng7kfNrA3wFbAP2A2c5+7/83+Vmd0B3AFQpUqVpmvWrMloyCI5wjfzNvB/Q+azc+8h7mxfg3s61iQxIT7ssCSGZcrdWWbWBGgTfBzv7rNOYZ/vgHLpbHqMyBDyxdKU3eHu/9MvEmwrD4wFerj71GDdIOBZd59mZg8Dddz9thPFo+YsiRU7fj3IX4cvZNDMddQsU4hnr2pE06rp/u8jcsbO5O6sQu5+wp68UylznP2WAO3dfUNqknD3OumUK0IkgTzt7gODdaWBqe5eI/hcBRjp7vVPdEwlEYk1PyzZzGOD5rFh937+0KoaD11Qh/x5VSuRzHUmfSJDzOxFM2trZr/NpmNm1c3sVjMbBXTJYFxfAz2C5R7AkHQCz0ukCa1/agIJ7ACKBh3vAJ2BRRmMQyRqdahThlH3t+WG5lX4YOIqurw6nikrNKCjZJ+TNmeZ2UXADUAroARwCFgCDAc+cPeNGTqwWUngS6AKsAa4xt23m1ky0MvdbzOzG4GPgAVpdr3Z3WcHw9E/CRwlklT+4O4rT3RM1UQklk1ZsY2+g+ayZttebggGdCysAR0lE+iJ9YCSiMS6fQeP8OK3S/hg0irKF8nH01c2pH2dMmGHJVEuM27xFZEokD9vPH+6pD4De7WkQGICN380nYcGzGHX3kNhhyYxSklEJAY1rVqcYb1bc1f7GgyetY7OL4/TMPOSJZRERGJUvjzxPNKlLl/d1YoSBfNyW/8U7v9iNjv3aiogyTxKIiIxrmGlonx9T2v6nF+LoXPW0+ml8Yycn6H7YUT+x8meE/mByPAiJ/Oxu/fPtKiyiDrWJbdbsH4Xjwycy4L1u7mkUXme7HYWJQrmDTssyeHO5GHDqqd4jJ3uvisjwWUnJREROHTkKG+PXcFr3y+jaP48/O3ys+hyVvmww5IcLFNv8Q2GbN/pUXhvsJKIyH8s2rCbhwbMYcH63Vx6dgWeuKyBaiWSrgzf4mtm/2dmdYPlxKB5awWwycw6ZX6oIpJd6pUvwld3t+KBzrUZOX8DF7w8Tn0lctpO1rHencjT6fCfIUpKA+2Ap7MqKBHJHnni4+hzfi2+vqc1ZYvko9c/Z9Dns1m6g0tO2cmSyME0zVYXAp+7+xF3XwQkZG1oIpJdUmsl93eqzTfzNtD55fGMWaTnSuTkTpZEDpjZWcGouR2Ab9NsK5B1YYlIdssTH8e9nWrx1d2tKFkwL7f2S+GhAXPYvV9Pu8vxnSyJ3AcMBBYDL7v7KvhtUMaTziciItHnrIqR50ru6VCTwbPWceHL4xm/dEvYYUkOpQEYReS45vy8kwcHzGH55j1c16wKf7q4HgUT1ZKd25zo7qwT/msIJns6FTvTm5pWRKLb2ZWLMax3a14avZT3Jqxk0vKtvHjN2ZybVCLs0CSHOJUn1k/G0RPrIjHvx1XbeXDAbNbu2Mcdbapzf+fa5MujWRRzA80nElASETkzew4c5qnhi/jsx5+oXbYQL13TmLMqFg07LMlimk9ERDJFocQE/n5lQz665Vx27j3E5f+YxOtjlnH4yNGwQ5OQKImIyGnrUKcM397flosalufF0Uu5+u0prNr6a9hhSQiUREQkQ4oVyMtr153Da9edw8ote7jo1Qn8c+oaclMTuYSYRMyshJmNNrNlwXvxdMpUNbOZZjbbzBaYWa8025qa2TwzW25mr5mZZe8ZiAjAZWdX4Nv725GcVJw/fTWfWz6ezubd+8MOS7JJmDWRvsAYd68FjAk+H2sD0MLdGwPNgb5mViHY9hZwO1AreHXJ8ohFJF3liuaj3y3NeOKyBkxZsY0LXxnPiHkbwg5LskGYSaQb0C9Y7gdcfmwBdz/o7geCj4kE8ZpZeaCIu08Nxvbqn97+IpJ94uKMHi2TGN6nDZVLFODOT2fy4Jdz+EXDpsS0MJNIWXdP/VNlI1A2vUJmVtnM5gI/A8+6+3qgIrA2TbG1wbr09r/DzFLMLGXLFg3dIJLVapYpxL/vbEnvjjUZPGstXV+dwPTV28MOS7JIliYRM/vOzOan8+qWtlxQm0i3N87df3b3RkBNoIeZpZtsjsfd33X3ZHdPLl26dIbPRUROXZ74OB68oA4DerUgzozu70zh+VGLOXhYtwLHmiwdBMfdjztxlZltMrPy7r4haJ7afJLvWm9m84E2wCSgUprNlYB1mRGziGSeplVL8M29bXhy6AL+8cMKxi/dysvdG1OzTKGwQ5NMEmZz1tf8Z6KrHsCQYwuYWSUzyx8sFwdaA0uCZrDdZnZecFfWTentLyLhK5SYwHNXn83bNzZl7Y69XPL6BD7RrcAxI8wk8gzQ2cyWAZ2Cz5hZspm9H5SpB0wzsznAOOAFd58XbLsLeB9YTmTK3hHZGbyInJ4uZ5Vj1H1taVatJH/+aj639Uth654DJ99RcjSNnSUi2eroUafflNX8fcRiiuRL4Pmrz6ZD3TJhhyUnoLGzRCTHiIszbmlVjaH3tKZUoURu+Xg6/zdkPvsPHQk7NMkAJRERCUWdcoX56u5W3Nq6Gv2nrOGS1yeyYP2usMOS06QkIiKhyZcnnj9fUp9Pbm3G7n2RUYHfG7+So0dzTzN7tFMSEZHQtalVmlH3taVj3TI89c0ibvrwRzZp/K2ooCQiIjlC8YJ5efvGpjxzZUNmrNnBha+MZ9SCjWGHJSehJCIiOYaZcW2zKgzr05rKxQvQ85MZPDpoHnsPHg47NDkOJRERyXFqlI6Mv3Vn+xp8Pv0nLnltIvPWqtM9J1ISEZEcKW9CHH/sUpd/3XYe+w4d4cq3JvH2uBXqdM9hlEREJEdrUaMkI+5tQ6d6ZXlmxGJ+/+E0Nu5Sp3tOoSQiIjlesQJ5efOGJjx7VUNmrtlJl1fV6Z5TKImISFQwM7qfW4Xh6nTPUZRERCSqVA863Xu1CzrdX5/I/HXqdA+LkoiIRJ28CXH07VqXT29rzt4DR7jiTT3pHhYlERGJWi1rlGLEvW1+e9K9x0d60j27KYmISFRLfdL96SsaMn31drq8Mp7RCzeFHVauoSQiIlHPzLi+eRWG9W5DhWL5ub1/Co8Nnse+gxpePqspiYhIzKhZphCD7mrJ7W2q8em0n7j0jYksXL877LBimpKIiMSUxIR4Hrs4Mrz8rmB4+Q8mrlKnexZREhGRmNSmVmlG3tuGtrVL8ddhC7nl4+ls+UVzume20JKImZUws9Fmtix4L55OmapmNtPMZpvZAjPrFawvYGbDzWxxsP6Z7D8DEcnpShZK5L2bkvlrtwZMXbmNLq+M54fFm8MOK6aEWRPpC4xx91rAmODzsTYALdy9MdAc6GtmFYJtL7h7XeAcoJWZdc2GmEUkypgZv2+RxNDerSldODKn+xNDF2hO90wSZhLpBvQLlvsBlx9bwN0Puntq/TORIF533+vuP6SWAWYClbI6YBGJXrXLRuZ0v7llEh9NWs0Vb05m2aZfwg4r6oWZRMq6+4ZgeSNQNr1CZlbZzOYCPwPPuvv6Y7YXAy4lUptJb/87zCzFzFK2bNmSacGLSPTJlyeexy9rwIc3J7N5934ufWMin05bg7s63TPKsvI/npl9B5RLZ9NjQD93L5am7A53/59+kTTbKwBfAZe6+6ZgXQIwFBjl7q+cLJ7k5GRPSUk5nVMQkRi1+Zf9PPjlHCYs28oF9cvy7FWNKF4wb9hh5UhmNsPdk9PblqU1EXfv5O5npfMaAmwys/JBgOWBE/Z2BTWQ+UCbNKvfBZadSgIREUmrTOF89LulGX+6uB4/LNlM11cnMGXFtrDDijphNmd9DfQIlnsAQ44tYGaVzCx/sFwcaA0sCT7/DSgK3JcdwYpI7ImLM25rU53Bd7WiQGI8178/ledHLebQkaNhhxY1wkwizwCdzWwZ0Cn4jJklm9n7QZl6wDQzmwOMI3JH1jwzq0SkSaw+kHoL8G3ZfwoiEgvOqliUYb1bc03TyvzjhxVc884Uft6+N+ywokKW9onkNOoTEZGTGTZ3PY8OmgcOf7viLLo1rhh2SKELrU9ERCTaXNKoAt/0aUPtcoW59/PZPPDlbH49oNkTj0dJRETkGJVLFOCLO86jT8eafDVrnWZPPAElERGRdCTEx/HABXX41+3nse9gZPbEDyau0jMlx1ASERE5gfOql2TEvW1oV7sMfx22kD98PJ1tezSQYyolERGRkyheMC/v3dSUJy5rwKQV2+j66gQmL98adlg5gpKIiMgpMDN6tEziq7taUThfAjd8MI0XRi3hcC5/pkRJRETkNNSvUIShwTMlb/ywnGvfncr6nfvCDis0SiIiIqepQN4Enr26Ea9e25hFG3bT9dUJjF64KeywQqEkIiKSQd0aV2RYnzZULpGf2/un8PjXCzhwOHfNU6IkIiJyBqqVKsi/72zJzS2T+Hjyaq58czKrtv4adljZRklEROQMJSZE5il576Zk1u7Yx6WvT2TonPUn3zEGKImIiGSSzvXL8s29bahVthC9P5vFY4Pnxfw0vEoiIiKZqGKx/HzZswU921bn02k/ccWbk1m5ZU/YYWUZJRERkUyWJz6ORy+qx4c3J7NhV6R5a8jsdWGHlSWUREREskjHumX5pk8b6pYvwr2fz+bRQbHXvKUkIiKShSoUy8/nd5xHz3bV+ezHn7jyzcmsjqG7t5RERESyWJ74OB7tWo8PeiSzbmekeWvEvA1hh5UplERERLLJ+fXKMrxPa6qXKcSdn87kiaELOHg4usfeUhIREclGlYoXYEDPFvyhVTU+mrSa370zhbU7onc+99CSiJmVMLPRZrYseC+eTpmqZjbTzGab2QIz65VOma/NbH72RC0icubyJsTxf5fW560bmrBy8x4ufm0iPyzeHHZYGRJmTaQvMMbdawFjgs/H2gC0cPfGQHOgr5lVSN1oZlcCsXsDtojEtK4NyzO0d2sqFMvPLR9P54VRSzhyNLpmTgwziXQD+gXL/YDLjy3g7gfdPXUKsUTSxGtmhYAHgL9lbZgiIlknqVRBBt/VkmuSK/HGD8u56cNpbI2imRPDTCJl3T319oSNQNn0CplZZTObC/wMPOvuqQPS/BV4EYjexkQRESBfnnieu/psnruqESmrd3DJaxOZsWZ72GGdkixNImb2nZnNT+fVLW05d3cg3Tqcu//s7o2AmkAPMytrZo2BGu4++BRiuMPMUswsZcuWLZlwViIiWeOacysz6K6WJOaJo/s7U3l/wkoiP485l4UVoJktAdq7+wYzKw+Mdfc6J9nnQ+AboDTwZ+AgkACUASa7e/sT7Z+cnOwpKSmZEb6ISJbZte8QDw+Yw7cLN3Fxw/I8e3UjCiUmhBaPmc1w9+T0toXZnPU10CNY7gEMObaAmVUys/zBcnGgNbDE3d9y9wrunhSsW3qyBCIiEi2K5s/DO79vSt+udRkxfwPd3pjI8s2/hB1WusJMIs8Anc1sGdAp+IyZJZvZ+0GZesA0M5sDjANecPd5oUQrIpKNzIxe7Wrwz9uas2vfIS57YxLD5ua8OUpCa84Kg5qzRCQabdy1n7s+ncHMn3byh1bVePSiuuSJz746QE5tzhIRkVNQrmg+Pr+jBTe3TOLDSau4/r2pbN69P+ywACUREZGokDchjscva8Cr1zZm/rrdXPz6RH5cFf5twEoiIiJRpFvjinx1dysKJSZw/XtT+XDiqlBvA1YSERGJMnXKFWbIPa3oULcMTw5byL2fz2bvwcOhxKIkIiIShYrky8M7Nzbl4QvrMHTueq74x2RWhTDZlZKIiEiUiosz7u5Qk363NGPzL/u57PWJjF64KXtjyNajiYhIpmtbuzRDe7cmqVRBbu+fwovfZt9owEoiIiIxoFLxAgzo1YLfNa3E698v5w8fT2fn3oNZflwlERGRGBEZDbgRT11xFpNXbOXSNyayYP2uLD2mkoiISAwxM25oXpUverbg0GHnyjcnM3jW2iw7npKIiEgMalKlOEN7t6Zx5WLc/8Ucnhq+MEuOoyQiIhKjShdO5NPbmnNb62oklSqYJccIb4B6ERHJcgnxcfzpkvpZ9v2qiYiISIYpiYiISIYpiYiISIYpiYiISIYpiYiISIYpiYiISIYpiYiISIYpiYiISIZZmNMqZjcz2wKsOYOvKAVszaRwokFuO1/QOecWOufTU9XdS6e3IVclkTNlZinunhx2HNklt50v6JxzC51z5lFzloiIZJiSiIiIZJiSyOl5N+wAslluO1/QOecWOudMoj4RERHJMNVEREQkw5REREQkw3J1EjGzD81ss5nNT7PucTNbZ2azg9dFabY9ambLzWyJmV2YZn2XYN1yM+ub3edxOk7nnM2ss5nNMLN5wXvHNPs0DdYvN7PXzMzCOJ9TcbrXOdhexcz2mNlDadbF5HUOtjUysylmtiC4rvmC9TF5nc0sj5n1C85tkZk9mmafqLjO6Z1vsL63mS0OruVzadZnze+Xu+faF9AWaALMT7PuceChdMrWB+YAiUA1YAUQH7xWANWBvEGZ+mGfWyad8zlAhWD5LGBdmm0/AucBBowAuoZ9bplxzmm2DwQGpJaJ8eucAMwFzg4+lwTiY/k6A9cDnwfLBYDVQFI0XefjnG8H4DsgMfhcJnjPst+vXF0TcffxwPZTLN6NyD+6A+6+ClgONAtey919pbsfBD4PyuZIp3PO7j7L3dcHHxcA+c0s0czKA0XcfapH/oX2By7PkoAzwWleZ8zscmAVkXNOFbPXGbgAmOvuc4J9t7n7kRi/zg4UNLMEID9wENhNFF3n45zvncAz7n4gKLM5WJ9lv1+5OomcwD1mNjeoLhYP1lUEfk5TZm2w7njro01655zWVcDM4B9nRSLnmSpmztnMCgF/BJ44pmwsX+fagJvZKDObaWaPBOtj9joTqWn+CmwAfgJecPftRP91rg20MbNpZjbOzM4N1mfZ75eSyP96C6gBNCbyD+zFUKPJHic8ZzNrADwL9Mz2yLLO8c75ceBld98TTlhZ6njnnAC0Bm4I3q8ws/PDCDALHO+cmwFHgApEmnceNLPqYQSYyRKAEkSaIB8GvszqfqyErPzyaOTum1KXzew9YFjwcR1QOU3RSsE6TrA+KpzgnDGzSsBg4CZ3XxGsXkfkPFPF0jk3B64OOiSLAUfNbD8wg9i9zmuB8e6+Ndj2DZG29n8Su9f5emCkux8CNpvZJCCZyF/l0Xyd1wKDgubHH83sKJGBF7Ps90s1kWME7cCprgBS73z4Grg26BOoBtQi0uk4HahlZtXMLC9wbVA2ahzvnM2sGDAc6Ovuk1ILuPsGYLeZnRf8lXMTMCT7Ij5zxztnd2/j7knungS8Ajzt7m8Qw9cZGAU0NLMCQR9BO2BhLF9nIk1YHYMyBYn85b6Y6L/OXxHpXMfMahPpLN9KVv5+hX2HQZgv4DMiVdxDRDL4rcAnwDwid6t8DZRPU/4xIncyLCHNXSrARcDSYNtjYZ9XZp0z8Cci7caz07xS7/ZIJvI/5ArgDYLRD3Li63Svc5r9HifNnT2xep2D8jcSuZFgPvBcmvUxeZ2BQkTuvlsALAQejrbrfJzzzUukBjkfmAl0TFM+S36/NOyJiIhkmJqzREQkw5REREQkw5REREQ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+       "                    ar.txt                                                                   \n",
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\n" 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<Figure size 432x288 with 1 Axes>\n",
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\n" + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "ebeam_y_1550_add_simula_67fad0c3: uid a5f8b964, ports ['o1', 'o2', 'o3'], references ['ebeam_y_1550_1'], 4 polygons" + ] + }, + "execution_count": 51, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "from gdsfactory.simulation.add_simulation_markers import add_simulation_markers\n", "import ubcpdk as pdk\n", @@ -658,9 +1999,1266 @@ }, { "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], + "execution_count": 52, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
" + ] + }, + "execution_count": 52, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "scene = y.to_3d()\n", "scene.show()" @@ -675,9 +3273,64 @@ }, { "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], + "execution_count": 53, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
<Figure size 432x288 with 1 Axes>\n",
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\n" 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<Figure size 432x288 with 1 Axes>\n",
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\n" + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "ebeam_y_1550: uid cf0e06a7, ports ['o1', 'o2', 'o3'], references [], 18 polygons" + ] + }, + "execution_count": 53, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "y = pdk.components.ebeam_y_1550()\n", "y.unlock()\n", @@ -687,18 +3340,103 @@ }, { "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], + "execution_count": 54, + "metadata": {}, + "outputs": [ + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "36c0535d203640678990e1bfb0fefefe", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + " 0%| | 0/3 [00:00<Figure size 432x288 with 1 Axes>\n", + "\n" + ], + "text/plain": [ + "\u001b[1m<\u001b[0m\u001b[1;95mFigure\u001b[0m\u001b[39m size 432x288 with \u001b[0m\u001b[1;36m1\u001b[0m\u001b[39m Axes\u001b[0m\u001b[1m>\u001b[0m\n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "image/png": 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\n" 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<Figure size 432x288 with 1 Axes>\n",
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\n" + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "mzi_073734d6: uid fc667ec6, ports ['o1', 'o2'], references ['bend_euler_1', 'bend_euler_2', 'bend_euler_3', 'bend_euler_4', 'bend_euler_5', 'bend_euler_6', 'straight_5', 'straight_6', 'straight_7', 'bend_euler_7', 'bend_euler_8', 'straight_8', 'straight_9', 'straight_10', 'sytl', 'syl', 'sxt', 'sxb', 'cp1', 'cp2'], 0 polygons" + ] + }, + "execution_count": 55, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "mzi10 = gf.components.mzi(splitter=y, delta_length=10)\n", "mzi10" @@ -706,9 +3444,19 @@ }, { "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], + "execution_count": 1, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2022-11-13 21:37:27.592 | INFO | gdsfactory.config::45 - Load '/usr/local/google/home/jmatres/gdsfactory/gdsfactory' 6.0.3\n", + "2022-11-13 21:37:29.067 | INFO | gdsfactory.simulation.gmeep::32 - Meep '1.24.0' installed at ['/usr/local/google/home/jmatres/mambaforge/lib/python3.9/site-packages/meep']\n", + "2022-11-13 21:37:29.200 | INFO | ubcpdk::36 - Found UBCpdk '1.8.0' installed at PosixPath('/usr/local/google/home/jmatres/ubc/ubcpdk')\n" + ] + } + ], "source": [ "import matplotlib.pyplot as plt\n", "import numpy as np\n", @@ -726,9 +3474,35 @@ }, { "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], + "execution_count": 2, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "mzi_073734d6: uid e67dfef5, ports ['o1', 'o2'], references ['bend_euler_1', 'bend_euler_2', 'bend_euler_3', 'bend_euler_4', 'bend_euler_5', 'bend_euler_6', 'straight_5', 'straight_6', 'straight_7', 'bend_euler_7', 'bend_euler_8', 'straight_8', 'straight_9', 'straight_10', 'sytl', 'syl', 'sxt', 'sxb', 'cp1', 'cp2'], 0 polygons" + ], + "text/plain": [ + "mzi_073734d6: uid e67dfef5, ports ['o1', 'o2'], references ['bend_euler_1', 'bend_euler_2', 'bend_euler_3', 'bend_euler_4', 'bend_euler_5', 'bend_euler_6', 'straight_5', 'straight_6', 'straight_7', 'bend_euler_7', 'bend_euler_8', 'straight_8', 'straight_9', 'straight_10', 'sytl', 'syl', 'sxt', 'sxb', 'cp1', 'cp2'], 0 polygons" + ] + }, + "execution_count": 3, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "mzi = gf.components.mzi(splitter=y, delta_length=10)\n", "mzi" @@ -748,7 +3548,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 4, "metadata": {}, "outputs": [], "source": [ @@ -764,22 +3564,51 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 5, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2022-11-13 21:37:30.170 | INFO | gdsfactory.simulation.gmeep.write_sparameters_meep:write_sparameters_meep:341 - Simulation loaded from PosixPath('/usr/local/google/home/jmatres/ubc/sparameters/ebeam_y_1550_1f494ca0.npz')\n", + "WARNING:absl:No GPU/TPU found, falling back to CPU. (Set TF_CPP_MIN_LOG_LEVEL=0 and rerun for more info.)\n" + ] + } + ], + "source": [ + "sp = gm.write_sparameters_meep(y, run=True)\n", + "#ebeam_y_1550 = gsax.read.sdict_from_csv(filepath=df)\n", + "ebeam_y_1550 = gsax.read.model_from_npz(sp)" + ] + }, + { + "cell_type": "code", + "execution_count": 6, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/plain": [ + "numpy.lib.npyio.NpzFile" + ] + }, + "execution_count": 6, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ - "df = gm.write_sparameters_meep(y, run=True)\n", - "#ebeam_y_1550 = gsax.read.sdict_from_csv(filepath=df)\n", - "ebeam_y_1550 = gsax.read.model_from_csv(filepath=df)" + "type(sp)" ] }, { "cell_type": "code", - "execution_count": null, + "execution_count": 8, "metadata": {}, "outputs": [], "source": [ - "netlist = mzi.get_netlist_dict()\n", + "netlist = mzi.get_netlist()\n", "circuit, _ = sax.circuit(\n", " netlist=netlist,\n", " models={\n", @@ -792,9 +3621,22 @@ }, { "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], + "execution_count": 9, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], "source": [ "wl = np.linspace(1.5, 1.6)\n", "S = circuit(wl=wl)\n", @@ -809,9 +3651,35 @@ }, { "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], + "execution_count": 10, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "mzi_37692514: uid 6d60dae2, ports ['o1', 'o2'], references ['bend_euler_1', 'bend_euler_2', 'bend_euler_3', 'bend_euler_4', 'bend_euler_5', 'bend_euler_6', 'straight_5', 'straight_6', 'straight_7', 'bend_euler_7', 'bend_euler_8', 'straight_8', 'straight_9', 'straight_10', 'sytl', 'syl', 'sxt', 'sxb', 'cp1', 'cp2'], 0 polygons" + ], + "text/plain": [ + "mzi_37692514: uid 6d60dae2, ports ['o1', 'o2'], references ['bend_euler_1', 'bend_euler_2', 'bend_euler_3', 'bend_euler_4', 'bend_euler_5', 'bend_euler_6', 'straight_5', 'straight_6', 'straight_7', 'bend_euler_7', 'bend_euler_8', 'straight_8', 'straight_9', 'straight_10', 'sytl', 'syl', 'sxt', 'sxb', 'cp1', 'cp2'], 0 polygons" + ] + }, + "execution_count": 10, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "mzi = gf.components.mzi(splitter=y, delta_length=20)\n", "mzi" @@ -819,11 +3687,11 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 12, "metadata": {}, "outputs": [], "source": [ - "netlist = mzi.get_netlist_dict()\n", + "netlist = mzi.get_netlist()\n", "circuit, _ = sax.circuit(\n", " netlist=netlist,\n", " models={\n", @@ -836,9 +3704,22 @@ }, { "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], + "execution_count": 13, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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+wavelength_points: 50 +port_margin: 2 +port_monitor_offset: -0.1 +port_source_offset: -0.1 +dispersive: false +ymargin_top: 0.0 +ymargin_bot: 3.0 +xmargin_left: 0 +xmargin_right: 3.0 +is_3d: false +layer_stack: + strip: + layer: + - 1 + - 0 + thickness: 0.22 + zmin: 0.0 + material: si + sidewall_angle: 0 + info: {} + strip2: + layer: + - 31 + - 0 + thickness: 0.22 + zmin: 0.0 + material: si + sidewall_angle: 0 + info: {} +component: + name: bend_euler_radius3 + settings: + name: bend_euler_radius3 + module: gdsfactory.components.bend_euler + function_name: bend_euler + info: + length: 4.991 + dy: 3.0 + radius_min: 2.118 + radius: 3.0 + width: 0.5 + interconnect: + model: ebeam_wg_integral_1550 + layout_model_property_pairs: + wg_length: + - length + - 1.0e-06 + wg_width: + - width + - 1.0e-06 + layout_model_port_pairs: + o1: port 1 + o2: port 2 + properties: + annotate: false + info_version: 2 + full: + angle: 90.0 + p: 0.5 + with_arc_floorplan: true + npoints: 720 + direction: ccw + 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b/sparameters/coupler_ring_4778e15a.yml new file mode 100644 index 00000000..644c241c --- /dev/null +++ b/sparameters/coupler_ring_4778e15a.yml @@ -0,0 +1,73 @@ +resolution: 30 +port_symmetries: {} +wavelength_start: 1.5 +wavelength_stop: 1.6 +wavelength_points: 50 +port_margin: 2 +port_monitor_offset: -0.1 +port_source_offset: -0.1 +dispersive: false +ymargin_top: 0.0 +ymargin_bot: 2.5 +xmargin_left: 2.5 +xmargin_right: 2.5 +is_3d: false +layer_stack: + strip: + layer: + - 1 + - 0 + thickness: 0.22 + zmin: 0.0 + material: si + sidewall_angle: 0 + info: {} + strip2: + layer: + - 31 + - 0 + thickness: 0.22 + zmin: 0.0 + material: si + sidewall_angle: 0 + info: {} +component: + name: coupler_ring + settings: + name: coupler_ring + module: gdsfactory.components.coupler_ring + function_name: coupler_ring + info: {} + info_version: 2 + full: + gap: 0.2 + radius: 5.0 + length_x: 4.0 + coupler90: + function: coupler90 + bend: + function: bend_euler + straight: + function: straight + 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a/sparameters/straight_length3p1_bdd2f6cd.yml b/sparameters/straight_length3p1_bdd2f6cd.yml new file mode 100644 index 00000000..df95725f --- /dev/null +++ b/sparameters/straight_length3p1_bdd2f6cd.yml @@ -0,0 +1,72 @@ +resolution: 30 +port_symmetries: {} +wavelength_start: 1.5 +wavelength_stop: 1.6 +wavelength_points: 50 +port_margin: 2 +port_monitor_offset: -0.1 +port_source_offset: -0.1 +dispersive: false +ymargin_top: 3.0 +ymargin_bot: 3.0 +xmargin_left: 0 +xmargin_right: 0 +is_3d: false +layer_stack: + strip: + layer: + - 1 + - 0 + thickness: 0.22 + zmin: 0.0 + material: si + sidewall_angle: 0 + info: {} + strip2: + layer: + - 31 + - 0 + thickness: 0.22 + zmin: 0.0 + material: si + sidewall_angle: 0 + info: {} +component: + name: straight_length3p1 + settings: + name: straight_length3p1 + module: gdsfactory.components.straight + function_name: straight + info: + length: 3.1 + width: 0.5 + interconnect: + model: ebeam_wg_integral_1550 + layout_model_property_pairs: + wg_length: + - length + - 1.0e-06 + wg_width: + - width + - 1.0e-06 + layout_model_port_pairs: + o1: port 1 + o2: port 2 + properties: + annotate: false + info_version: 2 + full: + length: 3.1 + npoints: 2 + with_bbox: true + cross_section: strip + changed: + length: 3.1 + default: + length: 10.0 + npoints: 2 + with_bbox: true + cross_section: strip + child: null +compute_time_seconds: 10.377128601074219 +compute_time_minutes: 0.172952143351237 From 11214bc155b6658857b6f972f04592c8747de2d5 Mon Sep 17 00:00:00 2001 From: Joaquin Matres <4514346+joamatab@users.noreply.github.com> Date: Sun, 13 Nov 2022 21:48:32 -0800 Subject: [PATCH 5/6] fix notebooks --- docs/notebooks/11_sparameters.ipynb | 346 +-- docs/notebooks/13_sim_plugins.ipynb | 3202 ++------------------------- 2 files changed, 187 insertions(+), 3361 deletions(-) diff --git a/docs/notebooks/11_sparameters.ipynb b/docs/notebooks/11_sparameters.ipynb index 50281af2..8f059f18 100644 --- a/docs/notebooks/11_sparameters.ipynb +++ b/docs/notebooks/11_sparameters.ipynb @@ -13,47 +13,11 @@ }, { "cell_type": "code", - "execution_count": 1, + "execution_count": null, "metadata": { "lines_to_next_cell": 2 }, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "2022-11-13 11:37:36.507 | INFO | gdsfactory.config::45 - Load '/usr/local/google/home/jmatres/mambaforge/lib/python3.9/site-packages/gdsfactory' 6.0.1\n", - "/usr/local/google/home/jmatres/mambaforge/lib/python3.9/site-packages/scipy/__init__.py:146: UserWarning: A NumPy version >=1.16.5 and <1.23.0 is required for this version of SciPy (detected version 1.23.4\n", - " warnings.warn(f\"A NumPy version >={np_minversion} and <{np_maxversion}\"\n", - "2022-11-13 11:37:38.428 | INFO | ubcpdk::36 - Found UBCpdk '1.8.0' installed at PosixPath('/usr/local/google/home/jmatres/ubc/ubcpdk')\n" - ] - }, - { - "data": { - "image/png": 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\n", 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11:37:39.265 | INFO | gdsfactory.simulation.gmeep::32 - Meep '1.24.0' installed at ['/usr/local/google/home/jmatres/mambaforge/lib/python3.9/site-packages/meep']\n" - ] - } - ], + "outputs": [], "source": [ "import gdsfactory.simulation.gmeep as gm" ] }, { "cell_type": "code", - "execution_count": 5, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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- }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], + "outputs": [], "source": [ "df = gm.write_sparameters_meep_1x1(component=c, run=False)" ] }, { "cell_type": "code", - "execution_count": 7, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "656cefd1da9e49179ccdac718aa0c6f0", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - " 0%| | 0/2 [00:00<Figure size 432x288 with 1 Axes>\n", - "\n" - ], - "text/plain": [ - "\u001b[1m<\u001b[0m\u001b[1;95mFigure\u001b[0m\u001b[39m size 432x288 with \u001b[0m\u001b[1;36m1\u001b[0m\u001b[39m Axes\u001b[0m\u001b[1m>\u001b[0m\n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "image/png": 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\n" - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], + "outputs": [], "source": [ "gm.plot.plot_sparameters(df)" ] }, { "cell_type": "code", - "execution_count": 9, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
<Figure size 432x288 with 1 Axes>\n",
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<Figure size 432x288 with 1 Axes>\n",
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\n" 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<Figure size 432x288 with 1 Axes>\n",
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\n" - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "ebeam_y_1550: uid 1d162469, ports ['opt1', 'opt2', 'opt3'], references [], 18 polygons" - ] - }, - "execution_count": 10, - "metadata": {}, - "output_type": "execute_result" - } - ], + "outputs": [], "source": [ "c = ubcpdk.components.ebeam_y_1550()\n", "c" @@ -374,77 +131,18 @@ }, { "cell_type": "code", - "execution_count": 11, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "/usr/local/google/home/jmatres/mambaforge/lib/python3.9/site-packages/gdsfactory/simulation/gmeep/get_simulation.py:148: UserWarning: port_source_name='o1' not in ['opt1', 'opt2', 'opt3']\n", - " warnings.warn(f\"port_source_name={port_source_name!r} not in {port_names}\")\n", - "/usr/local/google/home/jmatres/mambaforge/lib/python3.9/site-packages/gdsfactory/simulation/gmeep/get_simulation.py:151: UserWarning: Selecting port_source_name='opt1' instead.\n", - " warnings.warn(f\"Selecting port_source_name={port_source_name!r} instead.\")\n", - "Warning: grid volume is not an integer number of pixels; cell size will be rounded to nearest pixel.\n", - "/usr/local/google/home/jmatres/mambaforge/lib/python3.9/site-packages/meep/__init__.py:4494: ComplexWarning: Casting complex values to real discards the imaginary part\n", - " return _meep._get_epsilon_grid(gobj_list, mlist, _default_material, _ensure_periodicity, gv, cell_size, cell_center, nx, xtics, ny, ytics, nz, ztics, grid_vals, frequency)\n" - ] - }, - { - "data": { - "text/html": [ - "
<Figure size 432x288 with 1 Axes>\n",
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\n" - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], + "outputs": [], "source": [ "df = gm.write_sparameters_meep(component=c, run=False) # lr stands for left-right ports" ] }, { "cell_type": "code", - "execution_count": 12, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
<Figure size 432x288 with 1 Axes>\n",
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i0fptVt88DUBEfisiPU2UrSIi0gbgHwHMBHASgDkicpKfv2Gj+Duk02l0dnbijDPOAFB8MjiG8NBDD2Hr1q1IJBKxuRoiduIs97Bx40Y89thj+c8cnPw/88wzkUwmrXgMZDX80LdKLYB/AfDvIrJQRLyfutw4pwPYraqvqOoQgNUALvIruM3iD4w0d2+66SaIiGsrAABuv/32wMtGSKu49dZbAbhf/be3t+PGG2903W8bfumbZy2p6loApwEYA2CDiNwkIjc6W8O/OMJkAIW3rL6R+6xpbBd/YKSb57TTTkNvby+A4rEAxxBWr16Nbdu2sRVAjKXa1b+T96effjo+85nPIJPJWD3466e+VbPJIQAfA+gAcFjJFggiMk9ENojIBpTf9V1GHMTfwRnwde4JKE360lYAp4QSE3Hy1uvq38l7Z+kHm/Fd31TVdQNwAYAdAJYC6PI6rtENwBkAflfw/vsAvl/xO5OglVj/6nrtXtat619dX/G4QrCocswok8lkVFV1aGhIe3p6FIDn9sgjj6iqaiqVCrPIhNSFk6+/+MUvKub38ccfr+l0OuTSNk8lPWpE3/JxgQ3qpqluH2aPx+8BfNprf7MbgCSAVwAcA2AUgC3Vfq+SATRaOSYbgOrICXL33XcrAE0mk0UnhogoAJ02bVq4BSWkTpwLnFQqpZMnTy7KZ2dz8v3ee+/NH2syXnrUjPirehtApTGAs1R1e1PNiwqoagrAtQB+B2AngDWN/l6cun1Kcaa6zZ8/HzNnzsw/M8BBc0vnvvbaa1ixYgUAxGKGBDEfp5//xz/+Mfbu3Vu2xHkikUAqlcLFF1+Mr3/96wDsnPrZUn1zc4Wobm4tgKad0fAWgOrIVc+mTZsqNpMB6EsvvVT0HUKiiJOfO3bsqJrT27dvL/qOyZTqUbP6lo9bbwvABOJ85V9IW1sb0uk0pk+fjksvvRRA+RopzkDZZZddhvfffx9tbW1FV1OERAVVRVtbG9555x3Mnj0bQPkEBye/58yZg5NOOgnpdNq6q/8g9M1YA6D4AxDJbgCSyTaIZO+SHDNmTNlj8FQVyWQSW7ZswU033QSAXUEkmjhdPzfeeCNefPFFJJPJsouVVCqFcePG4Qc/+AGAEYMoOCWMJih9M9IAKP7efOpTn8LixYsBlLcCnLXR77vvPqxYsSI2d0wSc3Cu5O+44w48+OCDEJGyixknr2+//XYcd9xxZeNephOovrn1C0V1wyT41ieW7xszeQwAyG4FL52pcDNnznSdFVS43XXXXapqR98pMR8nD++44w7PnHXy+eKLLy76jkPBKWEkWARf9S0ft95poFHcMMn/yrHVAHbt2qXd3d1VB9BWrFihqjQBEi61iL8zBXTixIm6e/duVdWyuf82GIDf4q9q0SAwu30q40yNO+GEE/K3zVfi+uuvx8qVK/MDyYQEjdPts3z58vz4lBuqIw+DOfbYY63r+nEIUt+Mqz2Kf3Wcp4KdeeaZuPnmmwFUfjLSddddh7vuuosmQAKnVvF38veWW25Bb28v0um069PASDl9/X2e+4wzAFIbzpXR0qVLsWDBgmxzr8LVUmFLIJVKcYooaSmqWjTgW0n8nRvAFi5cmJ/gYNuUz1bhDCh7EWsDqOSMNuD08y1btgzz58/PL5nrxXXXXZefHSQibA2QlpBOpyEiefFfsGCB57Ht7e3IZDK44YYbsGTJEq5oWweFs4k8cRsYiOpWbTG4enBmE9k2CFyKM0j23nvv6cSJE6vODAKg3/jGN3Tfvn2qysFh4h+ZTCafT++8845ec801FfPQydMpU6bohx9+qKrlg76l2DAI7AelsyVhyyCwH9TkjJaQSCSQTqcxbtw4PPvss5g4cSJSqZRnS0BEcO+99+Kcc87BK6+8km9qszVAmqHwqv+ll17C2Wefjfvvv9+zW7K9vR2pVApTpkzBc889hzFjxiCdTls56Os39dxHELvajONNZM7g7tSpU/Hcc89h4sSJGB4edj2ZVEfuGD722GPzC8g5MdgEJ/WQyWSKlmlYvnw5jj/+eGzfvj0/WaGURCKB4eHhvPhPmjTJyqUeWkHd+ubWLIjq1mwXkNtNZLZ3ARXiNL/fffddnT9/vuvyus5W+HlPT48++uij+TjpdNqKtddJ6yjNkdWrV+u0adNc88st77797W/r+++/r6r1dUPGuQuo0k2ysOVGML8rJ04GoFp8Mi1YsKDiyQhAE4lE/vWcOXN027Zt+e/TCEgppTmxefNmvfzyy13zyeuCY+HChfnv1zsGFVcDqLZCQqwNoKIzxswAVLMnqfOwjZtvvrls0K3SyekYwdatW4tiplIpmkFMSafTZUK9efNmnT17dsU8csu7W265JR+zkXyKowHUsjxObA2gqjPG0ABUR562pKr6+9//XsePH191hlDp1Vtpi8AhlUppJpMp+g1iD87f1u3qfMuWLWXC73XVX5hvEydO1GeeeabpssXNAGpdGy2WBlCTM8bUABwK1w5yFpCrxwgSiYROnz5dly5dWtYqcOIXGgJNwSwK/25erbzNmzfrbbfdpqecckrRVX4twg9AL7zwwvyDipptRcbJAOpZGDN2BlCzM8bcAFRVh4eH869XrFihY8aMqekkLt2XSCT0tNNO01tvvVV37typ+/fvd/29VCqV3woFhl1I4eB0CRYKvbO5sX//ft2+fbsuXrxYp0+fXta1U2vOjB07VleuXJmPW5iHjRIXA6h3VWQvA5DsPjOQo0T1T9XLW89UKPmBQP/BnDoowlnfR7XwZUM40/ESiQR27NiBW265Jb+YXDKZLFuTvbgYkl9CwqGjowNdXV2YPXs2Jk+ejCuvvBJdXV1ob2/HEUccUbEsznMLmqHZ75tAs+euqlZdT2ffvn1IpVLYv38/Vq1ahTfeeANr167FwMAABgcH88c5z5aoVKbCPLrsssuwZMkSnHDCCfl7BPyY49/seRA2tehRI1PZRWSjqvaWfW6bAdRbOTSAYlKpVF4UNm3ahIULF+Lxxx8HMLImS6WccTMDIGsImUwGRxxxBGbPno2DBw/ihBNOwBVXXIHBwcH83O+enp6Ky1UQfxkcHMSePXvySy50dHRg1apVePnllzFq1Cg8/PDD+PDDDwEAQ0NDRd+tRfRFBCKSv8D48pe/jMWLF+Pkk08GUJxvfmC7ATR6H1OkDEBEfgTgSwCGALwM4G9U9YOq36tiAA05Iw2gjEwmA1XN33jzk5/8BMuXL0d/f3/+mEQiUdNNYc5VndexThzn397eXpx66qk4ePBg3VfxzvpFnZ2d+OY3v4nRo0dbeQdzMpnERx99hJ/+9Kf5JZHrPY9VFZ2dnXj++eexefPmfP2LiGesan/L0mMLj/vEJz6BBQsW4Fvf+hYA+HrVX4jNBtDMTaxeBhBOXz7wBQDJ3OsfAvhhTd+rMAbQ6JPCOAbgTWEf8ODgoK5YsUJ7e3vLBvoq3UfgtiUSiYa+xy2YTUTyf6NGvlf4d/7sZz+rK1euLOrfb+X6UrB0DKDZJyEiqoPAAC4BsKqmYz0MoJnKoQFUp/SE3bBhg15xxRU6depUV3H3S3ya2cIW0SA2P+qpWRN2q+uenh6dM2eObtq0qWIetQIbDcCPx+BG2QB+A+DKCvvnAdgAYAMO979yaAC14czSKZzGOTAwoMuWLdPPfe5zFcWcV/p2bNX+njNmzNDly5frwYMHK+ZNK2n1edBqSvXIr2egI2gDAPAkgBddtosKjlkI4DHkxiKqxixpAfjijCUVbhQF2R5k4rvd+blz505dt26dXnXVVfllp922uF2lm7rV8neaNGmSXn311frUU0/prl27ivIhrDvDbTIAv8Rf1dsAWvZMNVU9r9J+EbkGwIUAzs0VsC7iuKpnVCgcuHOW6D3xxBNx4okn4rzzzsPbb7+Njz76CA888AD27duHbdu24Q9/+EPV6aSlsRtBRy4uYoEzy6YZ3AZ1Cz9rb2/H8PAwZsyYgZNOOgkTJkzA3LlzMWbMGIwfPz5/nKoik8mgra2NK3c2SVD6FspDNUXkAgDfBTBDVQ/U+32Kf3RwTnRHMFQVEyZMwIQJE/KP70un03jrrbewf/9+3HfffUilUujo6MCjjz6KPXv2YNSoUfnjPv7443D+I4bih+GNHj06/3ccGhpCT08PLrnkEhw8eBAdHR342te+hq6uLhx11FFlZuPM5gGy5k3hb54g9S2saaC7AXQA2Jf76P+q6reqfu8o0fX/Z72vlcNpoP5T1sz0mOc9MDCAjz/+GIlEAolEAgcOHMDPf/5zHDx4EG1tbXUJm6rikEMOwYYNG/D444+jq6vL6mcXJBIJDAwM4Itf/CKmT59e97RZZ8psV1cX5s6di87OTmQyGWQyGRx66KHo7Ox0/Z5zk17hFiWidB40gvxA0N3V7bv4R+o+gEaRo0S7v9ON1Zeu9q1ykkuSSN1SuVsiqrTlhDWdSiGZzF55pVLRnPdeaAjO+46Ojpb81gcffBCLK9FMJoPDDz+8JbEHBwfz4h5VsXcj6udBNZJLknjyyid9v/JPJpOuBhBKF1AztKJZZLpYFJbf9P+LH4wdOzbsIhhPq8w5KEw+D8499tzAfss4A7j7u3fjbtztX8BPA7Nnz/YvXoCsyf2bLf+agtfxxqRWbbOYcFUeLIafBy3Qo7e73vbcZ1wXEN70Oeii3GYgzl9OXN4REk8MPw8WwV896gEwC8CPYEcXkJ9rh+g0hUJ9X48kMApW8HTGO439vxDiA6afBxlkfCu7TlPoZQp5RKBwv9A3zgB8m9nRA+Ayn2OGRGH5Tf+/EOIHJp8HvpS9B1l9Wwtov3cvj5k22Sw9yDaL1oZcDkII8ZsejOhbf+VD42cAPai5cgghxCh6UJe+xcsAekDxJ4TYSQ/q1jfjxgAmT57c0PcGJw3ivXPfwxFPHYGO4Q4gF2Yv9jYcM3T27gWQrZPcS3P/L4T4gOnnQaN65KVv+bhOxZRg3DTQodeGqh9Ywn+89h+Y88s5eOjShzBj2oyifaNuG4Whv68/ZhRoz62hMzw0hFGjso9RHBoaDrNIhISK6edBI3pUSd/ycUeNsmMaaL3Pi+3r78Ocx+Zg7WzvO4hNfwZtYflN/78Q4gcmnwf1lL0WfauEcQZQT4ulr78Psx+ZjTWXrcGMaTM8v2tSK6gQ51aXbPml4DUhccX886DWsteqb5UwzgBqvfXdqZxa1g4y/Xb6wvKb/n8hxA9MPg9qKXs9+lYJK2cB8XkBhBBb8VPfrDMAij8hxFb81jerDIDiTwixlVbomzUGQPEnhNhKq/TNCgOg+BNCbKWV+ma8AVD8CSG20mp9C9UAROTvRERFpLuR71P8CSG2EoS+hWYAInI0gC8A2NPI9yn+hBBbCUrfwmwB3Angu4DHo2oqQPEnhNhKkPoWigGIyEUA9qrqlnq/S/EnhNhMkPrWsqUgRORJABNddi0E8PfIdv/UEmcegHkAgMODrRxCCAmaIPWtZQagque5fS4inwFwDIAtuTUvpgB4QUROV9W3XOLcA+AeILscNMWfEGIzQepb4IvBqeo2ABOc9yLSD6BXVd+t5fsUf0IIqZ2+/j7PfcbfB0AIIcQdZ8zUi9ANQFV7ar3695tKzkgIISZTOGHGi9ANICyqOSMhhJhKrbMlY2kAtTgjIYSYSD1T5WNnALyPgBBiK/XqW6wMgOJPCLGVRvQtNgZA8SeE2Eqj+hYLA6D4E0JspRl9s94AKP6EEFtpVt+sNgCKPyHEVvzQN2sNgOJPCLEVv/TNSgOg+BNCbMVPfQt8MbhWEyvxV3V7SUhssf088FvfrGoBxEr8CSGxohX6Zo0BUPwJIbbSKn2zwgAo/oQQW2mlvhlvABR/QoittFrfjDYAij8hxFaC0DdjDYDiTwixlaD0zUgDoPgTQmwlSH0zzgAo/oQQmwlS34wzAIo/IcRmgtS30AxARL4tIrtEZLuILKv1exR/QojNBKlvoSwFISKfB3ARgFNUdVBEJtT6XYo/IYTUTl9/n+e+sFoA8wEsVdVBAFDVt0MqByGEWIszZuqFaAirJ4nIZgD/CuACAAcB3KSqz3scOw/APADA4fgLfCegQhJCiC0swkZV7S37XFVbsgF4EsCLLttFuX9XAhAApwN4FTkzqhhzEtQv7nzmTpVFoljkX8xC1r+6XruXdev6V9czPuMzPuPXFN8vPXL07c5n7szGBTaom6a6fdjqDcATAD5f8P5lAOOrfs8nAyisnFYYgK3JyfiMz/itje+HHpWKv2r0DOBbAP5H7vXxAF4PqgVQ5ow+G4DNycn4jM/4rY3frB65ib9q9AxgFIAHc11BLwA4p6bvNWkArs7oowGEnTyMz/iMb3b8ZvTIS/xVI2YAjW7NGICnM/pkAFFIHsZnfMY3O36jelRJ/FVjbgAVndEHA4hK8jA+4zO+2fEb0aNq4q8aYwOo6oxNGkCUkofxGZ/xzY5frx7VIv6qMTWAmpyxCQOIWvIwPuMzvtnx69GjWsVfNYYGULMzNmgAUUwexmd8xjc7fq16VI/4q8bMAOpyxgYMIKrJw/iMz/hmx69Fj+oVf9UYGUDdzlinAUQ5eRif8Rnf7PjV9KgR8VeNiQE05Ix1GEDUk4fxGZ/xzY5fSY8aFX/VGBhAw85YowGYkDyMz/iMb3Z8Lz1qRvxVLTeAppyxBgMwJXkYn/EZ3+z4bnrUrPirWmwATTtjFQMwKXkYn/EZ3+z4pXrkh/irWmoAvjhjBQMwLXkYn/EZ3+z4hXrkl/irWmgAvjmjhwGYmDyMz/iMb3Z8R4/8FH9VywzAV2d0MQBTk4fxGZ/xzY6PRfBd/FUtMgDfnbHEAExOHsZnfMY3Oz4WwXfxV7XIAHx3xgIDMD15GJ/xGd/s+E4LwG+sMQDfnTFnADYkD+MzPuObHb9Vzyj3MgDJ7jMDEXkHwGst/pluAO+2+DdMhXXjDeumMqwfb4Kom2mqOr70Q6MMIAhEZIOq9oZdjijCuvGGdVMZ1o83YdZNIowfJYQQEj40AEIIiSk0gHLuCbsAEYZ14w3rpjKsH29CqxuOARBCSExhC4AQQmIKDQCAiMwSke0ikhGR3pJ93xeR3SLyRxE5P6wyRgURWSQie0Vkc27767DLFDYickEuP3aLyPfCLk+UEJF+EdmWy5UNYZcnbETkPhF5W0ReLPjsCBFZJyIv5f4dF1R5aABZXgRwKYD/LPxQRE4CcAWATwO4AMDdItIWfPEix52qOj23/TbswoRJLh/+EcBMACcBmJPLGzLC53O5wmmgwP3Iakkh3wPwlKoeB+Cp3PtAoAEAUNWdqvpHl10XAVitqoOq+iqA3QBOD7Z0JOKcDmC3qr6iqkMAViObN4SUoar/CeC9ko8vAvBA7vUDAC4Oqjw0gMpMBvB6wfs3cp/FnWtFZGuuORtYczWiMEcqowD+XUQ2isi8sAsTUY5U1Tdzr98CcGRQP5wM6ofCRkSeBDDRZddCVf3XoMsTZSrVFYB/ArAY2RN7MYDlAL4WXOmIYZypqntFZAKAdSKyK3cVTFxQVRWRwKZmxsYAVPW8Br62F8DRBe+n5D6zmlrrSkT+F4B/a3Fxok4sc6RWVHVv7t+3ReQxZLvMaADF/FlEJqnqmyIyCcDbQf0wu4Aq82sAV4hIh4gcA+A4AM+FXKZQySWowyXIDqDHmecBHCcix4jIKGQnDfw65DJFAhEZLSKHOa8BfAHMFzd+DeDq3OurAQTWIxGbFkAlROQSACsBjAfwv0Vks6qer6rbRWQNgB0AUgD+u6qmwyxrBFgmItOR7QLqB/DNUEsTMqqaEpFrAfwOQBuA+1R1e8jFigpHAnhMRICs1vxCVZ8It0jhIiIPATgbQLeIvAHgHwAsBbBGRL6O7GrHswMrD+8EJoSQeMIuIEIIiSk0AEIIiSk0AEIIiSk0AEIIiSk0AEIIiSk0AEIaRESOFpFXReSI3Ptxufc9IReNkJqgARDSIKr6OrJLYyzNfbQUwD2q2h9aoQipA94HQEgTiEg7gI0A7gPwtwCmq+pwuKUipDZ4JzAhTaCqwyKyAMATAL5A8ScmwS4gQppnJoA3AfyXsAtCSD3QAAhpgty6SH8F4L8B+E7JYnmERBoaACENItlVzv4JwA2qugfAjwDcEW6pCKkdGgAhjfO3APao6rrc+7sBfEpEZoRYJkJqhrOACCEkprAFQAghMYUGQAghMYUGQAghMYUGQAghMYUGQAghMYUGQAghMYUGQAghMYUGQAghMeX/AzB/F20yd1POAAAAAElFTkSuQmCC\n" - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], + "outputs": [], "source": [ "import gdsfactory as gf\n", "\n", diff --git a/docs/notebooks/13_sim_plugins.ipynb b/docs/notebooks/13_sim_plugins.ipynb index 7bcbb57e..75eaeb16 100644 --- a/docs/notebooks/13_sim_plugins.ipynb +++ b/docs/notebooks/13_sim_plugins.ipynb @@ -63,20 +63,9 @@ }, { "cell_type": "code", - "execution_count": 1, - "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "2022-11-13 19:51:46.309 | INFO | gdsfactory.config::45 - Load '/usr/local/google/home/jmatres/mambaforge/lib/python3.9/site-packages/gdsfactory' 6.0.1\n", - "/usr/local/google/home/jmatres/mambaforge/lib/python3.9/site-packages/scipy/__init__.py:146: UserWarning: A NumPy version >=1.16.5 and <1.23.0 is required for this version of SciPy (detected version 1.23.4\n", - " warnings.warn(f\"A NumPy version >={np_minversion} and <{np_maxversion}\"\n", - "2022-11-13 19:51:49.048 | INFO | gdsfactory.simulation.gmeep::32 - Meep '1.24.0' installed at ['/usr/local/google/home/jmatres/mambaforge/lib/python3.9/site-packages/meep']\n" - ] - } - ], + "execution_count": null, + "metadata": {}, + "outputs": [], "source": [ "from gdsfactory.simulation.modes import find_modes_waveguide\n", "\n", @@ -94,7 +83,7 @@ }, { "cell_type": "code", - "execution_count": 2, + "execution_count": null, "metadata": {}, "outputs": [], "source": [ @@ -103,42 +92,18 @@ }, { "cell_type": "code", - "execution_count": 3, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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\n", - "text/plain": [ - "
" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], + "execution_count": null, + "metadata": {}, + "outputs": [], "source": [ "mode.plot_e_all()" ] }, { "cell_type": "code", - "execution_count": 4, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "2.4409489585196966" - ] - }, - "execution_count": 4, - "metadata": {}, - "output_type": "execute_result" - } - ], + "execution_count": null, + "metadata": {}, + "outputs": [], "source": [ "mode.neff" ] @@ -152,17 +117,9 @@ }, { "cell_type": "code", - "execution_count": 5, - "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "2022-11-13 19:51:50.908 | INFO | ubcpdk::36 - Found UBCpdk '1.8.0' installed at PosixPath('/usr/local/google/home/jmatres/ubc/ubcpdk')\n" - ] - } - ], + "execution_count": null, + "metadata": {}, + "outputs": [], "source": [ "import gdsfactory.simulation.gmeep as gm\n", "import gdsfactory.simulation as sim\n", @@ -173,35 +130,9 @@ }, { "cell_type": "code", - "execution_count": 6, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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\n" - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], + "execution_count": null, + "metadata": {}, + "outputs": [], "source": [ "df = gm.write_sparameters_meep(c, run=False)" ] }, { "cell_type": "code", - "execution_count": 9, - "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "2022-11-13 19:51:52.779 | INFO | gdsfactory.simulation.gmeep.write_sparameters_meep:write_sparameters_meep:341 - Simulation loaded from PosixPath('/usr/local/google/home/jmatres/ubc/sparameters/ebeam_y_1550_1f494ca0.npz')\n" - ] - } - ], + "execution_count": null, + "metadata": {}, + "outputs": [], "source": [ "df = gm.write_sparameters_meep(c, run=True)" ] }, { "cell_type": "code", - "execution_count": 10, - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
<Figure size 432x288 with 1 Axes>\n",
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\n" - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], + "execution_count": null, + "metadata": {}, + "outputs": [], "source": [ "sim.plot.plot_sparameters(df, keys=['s21m'], with_simpler_input_keys=True)" ] @@ -353,23 +194,9 @@ }, { "cell_type": "code", - "execution_count": 11, - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
2.8494636999424405\n",
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<Figure size 432x288 with 1 Axes>\n",
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\n" - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], + "execution_count": null, + "metadata": {}, + "outputs": [], "source": [ "gf.simulation.plot.plot_sparameters(df2d)" ] }, { "cell_type": "code", - "execution_count": 14, - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
<Figure size 432x288 with 1 Axes>\n",
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\n" 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<Figure size 432x288 with 1 Axes>\n",
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\n" - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], + "execution_count": null, + "metadata": {}, + "outputs": [], "source": [ "sim.plot.plot_sparameters(df2d, keys=['s21m'], with_simpler_input_keys=True)\n", "sim.plot.plot_sparameters(df, keys=['s21m'], with_simpler_input_keys=True)" @@ -505,64 +256,9 @@ }, { "cell_type": "code", - "execution_count": 15, - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
<Figure size 432x288 with 1 Axes>\n",
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\n" - ], - "text/plain": [ - "\u001b[1m<\u001b[0m\u001b[1;95mFigure\u001b[0m\u001b[39m size 432x288 with \u001b[0m\u001b[1;36m1\u001b[0m\u001b[39m Axes\u001b[0m\u001b[1m>\u001b[0m\n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "image/png": 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\n" 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<Figure size 432x288 with 1 Axes>\n",
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\n" - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "bend_euler_radius3: uid 8fe1bd94, ports ['o1', 'o2'], references [], 2 polygons" - ] - }, - "execution_count": 15, - "metadata": {}, - "output_type": "execute_result" - } - ], + "execution_count": null, + "metadata": {}, + "outputs": [], "source": [ "c = gf.components.bend_euler(radius=3)\n", "c" @@ -570,217 +266,54 @@ }, { "cell_type": "code", - "execution_count": 16, - "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "/usr/local/google/home/jmatres/mambaforge/lib/python3.9/site-packages/meep/__init__.py:4494: ComplexWarning: Casting complex values to real discards the imaginary part\n", - " return _meep._get_epsilon_grid(gobj_list, mlist, _default_material, _ensure_periodicity, gv, cell_size, cell_center, nx, xtics, ny, ytics, nz, ztics, grid_vals, frequency)\n" - ] - }, - { - "data": { - "text/html": [ - "
<Figure size 432x288 with 1 Axes>\n",
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\n" - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], + "execution_count": null, + "metadata": {}, + "outputs": [], "source": [ "df = gm.write_sparameters_meep_1x1_bend90(c, run=False)" ] }, { "cell_type": "code", - "execution_count": 17, - "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "2022-11-13 19:51:55.083 | INFO | gdsfactory.simulation.gmeep.write_sparameters_meep:write_sparameters_meep:341 - Simulation loaded from PosixPath('/usr/local/google/home/jmatres/ubc/sparameters/bend_euler_radius3_6ad1d010.npz')\n" - ] - } - ], + "execution_count": null, + "metadata": {}, + "outputs": [], "source": [ "df = gm.write_sparameters_meep_1x1_bend90(c, run=True)" ] }, { "cell_type": "code", - "execution_count": 18, - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
<Figure size 432x288 with 1 Axes>\n",
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\n" - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], + "execution_count": null, + "metadata": {}, + "outputs": [], "source": [ "gf.simulation.plot.plot_sparameters(df)" ] }, { "cell_type": "code", - "execution_count": 19, - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
<Figure size 432x288 with 1 Axes>\n",
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\n" - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], + "execution_count": null, + "metadata": {}, + "outputs": [], "source": [ "gf.simulation.plot.plot_sparameters(df, keys=(\"s21m\",), logscale=False, with_simpler_input_keys=True)" ] }, { "cell_type": "code", - "execution_count": 20, - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
<Figure size 432x288 with 1 Axes>\n",
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\n" - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], + "execution_count": null, + "metadata": {}, + "outputs": [], "source": [ "gf.simulation.plot.plot_sparameters(df, keys=(\"s11m\",), with_simpler_input_keys=True)" ] }, { "cell_type": "code", - "execution_count": 21, - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
<Figure size 432x288 with 1 Axes>\n",
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- ] - }, - { - "data": { - "text/html": [ - "
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\n" - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], + "execution_count": null, + "metadata": {}, + "outputs": [], "source": [ "df = gm.write_sparameters_meep(\n", " c,\n", @@ -852,17 +354,9 @@ }, { "cell_type": "code", - "execution_count": 23, - "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "2022-11-13 19:51:57.358 | INFO | gdsfactory.simulation.gmeep.write_sparameters_meep:write_sparameters_meep:341 - Simulation loaded from PosixPath('/usr/local/google/home/jmatres/ubc/sparameters/ebeam_crossing4_7e264905_216d7d7a.npz')\n" - ] - } - ], + "execution_count": null, + "metadata": {}, + "outputs": [], "source": [ "df = gm.write_sparameters_meep(\n", " c,\n", @@ -875,64 +369,18 @@ }, { "cell_type": "code", - "execution_count": 24, - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
<Figure size 432x288 with 1 Axes>\n",
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\n" - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], + "execution_count": null, + "metadata": {}, + "outputs": [], "source": [ "gm.plot.plot_sparameters(df)" ] }, { "cell_type": "code", - "execution_count": 25, - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
<Figure size 432x288 with 1 Axes>\n",
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\n" - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], + "execution_count": null, + "metadata": {}, + "outputs": [], "source": [ "gm.plot.plot_sparameters(df, keys=(\"s31m\",), with_simpler_input_keys=True)" ] @@ -952,7 +400,7 @@ }, { "cell_type": "code", - "execution_count": 26, + "execution_count": null, "metadata": {}, "outputs": [], "source": [ @@ -968,64 +416,9 @@ }, { "cell_type": "code", - "execution_count": 27, - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
<Figure size 432x288 with 1 Axes>\n",
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\n" - ], - "text/plain": [ - "\u001b[1m<\u001b[0m\u001b[1;95mFigure\u001b[0m\u001b[39m size 432x288 with \u001b[0m\u001b[1;36m1\u001b[0m\u001b[39m Axes\u001b[0m\u001b[1m>\u001b[0m\n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "image/png": 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\n" 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<Figure size 432x288 with 1 Axes>\n",
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\n" - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], + "execution_count": null, + "metadata": {}, + "outputs": [], "source": [ "gm.write_sparameters_meep(component=c, run=False)" ] }, { "cell_type": "code", - "execution_count": 29, - "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "2022-11-13 19:52:01.683 | INFO | gdsfactory.simulation.gmeep.write_sparameters_meep_mpi:write_sparameters_meep_mpi:147 - Simulation PosixPath('/usr/local/google/home/jmatres/ubc/sparameters/coupler_gap0p13_length8_e8c7ce5e.npz') already exists\n" - ] - } - ], + "execution_count": null, + "metadata": {}, + "outputs": [], "source": [ "filepath = gm.write_sparameters_meep_mpi(\n", " component=c,\n", @@ -1107,7 +448,7 @@ }, { "cell_type": "code", - "execution_count": 31, + "execution_count": null, "metadata": {}, "outputs": [], "source": [ @@ -1116,64 +457,18 @@ }, { "cell_type": "code", - "execution_count": 32, - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
<Figure size 432x288 with 1 Axes>\n",
-       "
\n" - ], - "text/plain": [ - "\u001b[1m<\u001b[0m\u001b[1;95mFigure\u001b[0m\u001b[39m size 432x288 with \u001b[0m\u001b[1;36m1\u001b[0m\u001b[39m Axes\u001b[0m\u001b[1m>\u001b[0m\n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "image/png": 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\n" - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], + "execution_count": null, + "metadata": {}, + "outputs": [], "source": [ "gf.simulation.plot.plot_sparameters(sp)" ] }, { "cell_type": "code", - "execution_count": 33, - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
<Figure size 432x288 with 1 Axes>\n",
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\n" 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- }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], + "execution_count": null, + "metadata": {}, + "outputs": [], "source": [ "gm.write_sparameters_meep(c, ymargin=3, run=False)" ] }, { "cell_type": "code", - "execution_count": 37, - "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "2022-11-13 19:52:56.858 | INFO | gdsfactory.simulation.gmeep.write_sparameters_meep_batch:write_sparameters_meep_batch:136 - Simulation PosixPath('/usr/local/google/home/jmatres/ubc/sparameters/straight_length3p1_664ba415.npz') not found. Adding it to the queue\n", - "2022-11-13 19:52:56.859 | INFO | gdsfactory.simulation.gmeep.write_sparameters_meep_batch:write_sparameters_meep_batch:144 - Running 1 simulations\n", - "2022-11-13 19:52:56.860 | INFO | gdsfactory.simulation.gmeep.write_sparameters_meep_batch:write_sparameters_meep_batch:145 - total_cores = 8 with cores_per_run = 4\n", - "2022-11-13 19:52:56.860 | INFO | gdsfactory.simulation.gmeep.write_sparameters_meep_batch:write_sparameters_meep_batch:146 - Running 1 batches with up to 2 jobs each.\n" - ] - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "3c165354628e4c3d82215dd3f3cd5c71", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - " 0%| | 0/1 [00:00:45 - Load '/usr/local/google/home/jmatres/mambaforge/lib/python3.9/site-packages/gdsfactory' 6.0.1\n", - "2022-11-13 19:52:57.432 | INFO | gdsfactory.config::45 - Load '/usr/local/google/home/jmatres/mambaforge/lib/python3.9/site-packages/gdsfactory' 6.0.1\n", - "2022-11-13 19:52:57.446 | INFO | gdsfactory.config::45 - Load '/usr/local/google/home/jmatres/mambaforge/lib/python3.9/site-packages/gdsfactory' 6.0.1\n", - "2022-11-13 19:52:57.446 | INFO | gdsfactory.config::45 - Load '/usr/local/google/home/jmatres/mambaforge/lib/python3.9/site-packages/gdsfactory' 6.0.1\n", - "/usr/local/google/home/jmatres/mambaforge/lib/python3.9/site-packages/scipy/__init__.py:146: UserWarning: A NumPy version >=1.16.5 and <1.23.0 is required for this version of SciPy (detected version 1.23.4\n", - " warnings.warn(f\"A NumPy version >={np_minversion} and <{np_maxversion}\"\n", - "/usr/local/google/home/jmatres/mambaforge/lib/python3.9/site-packages/scipy/__init__.py:146: UserWarning: A NumPy version >=1.16.5 and <1.23.0 is required for this version of SciPy (detected version 1.23.4\n", - " warnings.warn(f\"A NumPy version >={np_minversion} and <{np_maxversion}\"\n", - "/usr/local/google/home/jmatres/mambaforge/lib/python3.9/site-packages/scipy/__init__.py:146: UserWarning: A NumPy version >=1.16.5 and <1.23.0 is required for this version of SciPy (detected version 1.23.4\n", - " warnings.warn(f\"A NumPy version >={np_minversion} and <{np_maxversion}\"\n", - "/usr/local/google/home/jmatres/mambaforge/lib/python3.9/site-packages/scipy/__init__.py:146: UserWarning: A NumPy version >=1.16.5 and <1.23.0 is required for this version of SciPy (detected version 1.23.4\n", - " warnings.warn(f\"A NumPy version >={np_minversion} and <{np_maxversion}\"\n", - "2022-11-13 19:52:59.999 | INFO | gdsfactory.simulation.gmeep::32 - Meep '1.24.0' installed at ['/usr/local/google/home/jmatres/mambaforge/lib/python3.9/site-packages/meep']\n", - "2022-11-13 19:53:00.000 | INFO | gdsfactory.read.import_gds:import_gds:106 - Read YAML metadata from /usr/local/google/home/jmatres/mambaforge/lib/python3.9/site-packages/gdslib/sp/temp/write_sparameters_meep_mpi_0.yml\n", - "2022-11-13 19:53:00.040 | INFO | gdsfactory.simulation.gmeep::32 - Meep '1.24.0' installed at ['/usr/local/google/home/jmatres/mambaforge/lib/python3.9/site-packages/meep']\n", - "2022-11-13 19:53:00.042 | INFO | gdsfactory.read.import_gds:import_gds:106 - Read YAML metadata from /usr/local/google/home/jmatres/mambaforge/lib/python3.9/site-packages/gdslib/sp/temp/write_sparameters_meep_mpi_0.yml\n", - " 0%| | 0/2 [00:00:32 - Meep '1.24.0' installed at ['/usr/local/google/home/jmatres/mambaforge/lib/python3.9/site-packages/meep']\n", - "2022-11-13 19:53:00.146 | INFO | gdsfactory.read.import_gds:import_gds:106 - Read YAML metadata from /usr/local/google/home/jmatres/mambaforge/lib/python3.9/site-packages/gdslib/sp/temp/write_sparameters_meep_mpi_0.yml\n", - " 0%| | 0/2 [00:00:32 - Meep '1.24.0' installed at ['/usr/local/google/home/jmatres/mambaforge/lib/python3.9/site-packages/meep']\n", - "2022-11-13 19:53:00.186 | INFO | gdsfactory.read.import_gds:import_gds:106 - Read YAML metadata from /usr/local/google/home/jmatres/mambaforge/lib/python3.9/site-packages/gdslib/sp/temp/write_sparameters_meep_mpi_0.yml\n", - " 0%| | 0/2 [00:00:54 - Tidy3d '1.7.1' installed at ['/usr/local/google/home/jmatres/mambaforge/lib/python3.9/site-packages/tidy3d']\n", - "Warning: grid volume is not an integer number of pixels; cell size will be rounded to nearest pixel.\n", - "/usr/local/google/home/jmatres/mambaforge/lib/python3.9/site-packages/meep/__init__.py:4488: ComplexWarning: Casting complex values to real discards the imaginary part\n", - " return _meep.create_structure(cell_size, dft_data_list_, pml_1d_vols_, pml_2d_vols_, pml_3d_vols_, absorber_vols_, gv, br, sym, num_chunks, Courant, use_anisotropic_averaging, tol, maxeval, gobj_list, center, _ensure_periodicity, _default_material, alist, extra_materials, split_chunks_evenly, set_materials, existing_s, output_chunk_costs, my_bp)\n", - "/usr/local/google/home/jmatres/mambaforge/lib/python3.9/site-packages/meep/__init__.py:4491: ComplexWarning: Casting complex values to real discards the imaginary part\n", - " return _meep._set_materials(s, cell_size, gv, use_anisotropic_averaging, tol, maxeval, gobj_list, center, _ensure_periodicity, _default_material, alist, extra_materials, split_chunks_evenly, set_materials, existing_geps, output_chunk_costs, my_bp)\n", - "2022-11-13 19:53:01.132 | INFO | gdsfactory.simulation.gtidy3d::54 - Tidy3d '1.7.1' installed at ['/usr/local/google/home/jmatres/mambaforge/lib/python3.9/site-packages/tidy3d']\n", - "Warning: grid volume is not an integer number of pixels; cell size will be rounded to nearest pixel.\n", - "/usr/local/google/home/jmatres/mambaforge/lib/python3.9/site-packages/meep/__init__.py:4488: ComplexWarning: Casting complex values to real discards the imaginary part\n", - " return _meep.create_structure(cell_size, dft_data_list_, pml_1d_vols_, pml_2d_vols_, pml_3d_vols_, absorber_vols_, gv, br, sym, num_chunks, Courant, use_anisotropic_averaging, tol, maxeval, gobj_list, center, _ensure_periodicity, _default_material, alist, extra_materials, split_chunks_evenly, set_materials, existing_s, output_chunk_costs, my_bp)\n", - "/usr/local/google/home/jmatres/mambaforge/lib/python3.9/site-packages/meep/__init__.py:4491: ComplexWarning: Casting complex values to real discards the imaginary part\n", - " return _meep._set_materials(s, cell_size, gv, use_anisotropic_averaging, tol, maxeval, gobj_list, center, _ensure_periodicity, _default_material, alist, extra_materials, split_chunks_evenly, set_materials, existing_geps, output_chunk_costs, my_bp)\n", - "2022-11-13 19:53:01.223 | INFO | gdsfactory.simulation.gtidy3d::54 - Tidy3d '1.7.1' installed at ['/usr/local/google/home/jmatres/mambaforge/lib/python3.9/site-packages/tidy3d']\n", - "Warning: grid volume is not an integer number of pixels; cell size will be rounded to nearest pixel.\n", - "/usr/local/google/home/jmatres/mambaforge/lib/python3.9/site-packages/meep/__init__.py:4488: ComplexWarning: Casting complex values to real discards the imaginary part\n", - " return _meep.create_structure(cell_size, dft_data_list_, pml_1d_vols_, pml_2d_vols_, pml_3d_vols_, absorber_vols_, gv, br, sym, num_chunks, Courant, use_anisotropic_averaging, tol, maxeval, gobj_list, center, _ensure_periodicity, _default_material, alist, extra_materials, split_chunks_evenly, set_materials, existing_s, output_chunk_costs, my_bp)\n", - "/usr/local/google/home/jmatres/mambaforge/lib/python3.9/site-packages/meep/__init__.py:4491: ComplexWarning: Casting complex values to real discards the imaginary part\n", - " return _meep._set_materials(s, cell_size, gv, use_anisotropic_averaging, tol, maxeval, gobj_list, center, _ensure_periodicity, _default_material, alist, extra_materials, split_chunks_evenly, set_materials, existing_geps, output_chunk_costs, my_bp)\n", - "2022-11-13 19:53:01.323 | INFO | gdsfactory.simulation.gtidy3d::54 - Tidy3d '1.7.1' installed at ['/usr/local/google/home/jmatres/mambaforge/lib/python3.9/site-packages/tidy3d']\n", - "Warning: grid volume is not an integer number of pixels; cell size will be rounded to nearest pixel.\n", - "/usr/local/google/home/jmatres/mambaforge/lib/python3.9/site-packages/meep/__init__.py:4488: ComplexWarning: Casting complex values to real discards the imaginary part\n", - " return _meep.create_structure(cell_size, dft_data_list_, pml_1d_vols_, pml_2d_vols_, pml_3d_vols_, absorber_vols_, gv, br, sym, num_chunks, Courant, use_anisotropic_averaging, tol, maxeval, gobj_list, center, _ensure_periodicity, _default_material, alist, extra_materials, split_chunks_evenly, set_materials, existing_s, output_chunk_costs, my_bp)\n", - "/usr/local/google/home/jmatres/mambaforge/lib/python3.9/site-packages/meep/__init__.py:4491: ComplexWarning: Casting complex values to real discards the imaginary part\n", - " return _meep._set_materials(s, cell_size, gv, use_anisotropic_averaging, tol, maxeval, gobj_list, center, _ensure_periodicity, _default_material, alist, extra_materials, split_chunks_evenly, set_materials, existing_geps, output_chunk_costs, my_bp)\n", - " 50%|█████ | 1/2 [00:05<00:05, 5.56s/it]Warning: grid volume is not an integer number of pixels; cell size will be rounded to nearest pixel.\n", - "Warning: grid volume is not an integer number of pixels; cell size will be rounded to nearest pixel.\n", - " 50%|█████ | 1/2 [00:05<00:05, 5.72s/it]Warning: grid volume is not an integer number of pixels; cell size will be rounded to nearest pixel.\n", - " 50%|█████ | 1/2 [00:05<00:05, 5.58s/it]Warning: grid volume is not an integer number of pixels; cell size will be rounded to nearest pixel.\n", - "100%|██████████| 2/2 [00:10<00:00, 5.03s/it]\n", - "2022-11-13 19:53:10.221 | INFO | gdsfactory.simulation.gmeep.write_sparameters_meep:write_sparameters_meep:500 - Write simulation results to PosixPath('/usr/local/google/home/jmatres/ubc/sparameters/straight_length3p1_bdd2f6cd.npz')\n", - "2022-11-13 19:53:10.232 | INFO | gdsfactory.simulation.gmeep.write_sparameters_meep:write_sparameters_meep:502 - Write simulation settings to PosixPath('/usr/local/google/home/jmatres/ubc/sparameters/straight_length3p1_bdd2f6cd.yml')\n", - "100%|██████████| 2/2 [00:10<00:00, 5.03s/it]\n", - "2022-11-13 19:53:10.267 | INFO | gdsfactory.simulation.gmeep.write_sparameters_meep:write_sparameters_meep:500 - Write simulation results to PosixPath('/usr/local/google/home/jmatres/ubc/sparameters/straight_length3p1_bdd2f6cd.npz')\n", - "2022-11-13 19:53:10.279 | INFO | gdsfactory.simulation.gmeep.write_sparameters_meep:write_sparameters_meep:502 - Write simulation settings to PosixPath('/usr/local/google/home/jmatres/ubc/sparameters/straight_length3p1_bdd2f6cd.yml')\n", - "100%|██████████| 2/2 [00:10<00:00, 5.14s/it]\n", - "2022-11-13 19:53:10.341 | INFO | gdsfactory.simulation.gmeep.write_sparameters_meep:write_sparameters_meep:500 - Write simulation results to PosixPath('/usr/local/google/home/jmatres/ubc/sparameters/straight_length3p1_bdd2f6cd.npz')\n", - "2022-11-13 19:53:10.353 | INFO | gdsfactory.simulation.gmeep.write_sparameters_meep:write_sparameters_meep:502 - Write simulation settings to PosixPath('/usr/local/google/home/jmatres/ubc/sparameters/straight_length3p1_bdd2f6cd.yml')\n", - "100%|██████████| 2/2 [00:10<00:00, 5.19s/it]\n", - "2022-11-13 19:53:10.419 | INFO | gdsfactory.simulation.gmeep.write_sparameters_meep:write_sparameters_meep:500 - Write simulation results to PosixPath('/usr/local/google/home/jmatres/ubc/sparameters/straight_length3p1_bdd2f6cd.npz')\n", - "2022-11-13 19:53:10.431 | INFO | gdsfactory.simulation.gmeep.write_sparameters_meep:write_sparameters_meep:502 - Write simulation settings to PosixPath('/usr/local/google/home/jmatres/ubc/sparameters/straight_length3p1_bdd2f6cd.yml')\n", - "\n" - ] - } - ], + "execution_count": null, + "metadata": {}, + "outputs": [], "source": [ "c1_dict = {\"component\": c, \"ymargin\": 3}\n", "jobs = [\n", @@ -1404,32 +536,9 @@ }, { "cell_type": "code", - "execution_count": 41, - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
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SD9ltZq3gIbsTPiFtZmYZDgczM8twOJiZWUZu4SDpM5I2Slon6WZJ+6btcyU9J2lt+vinvGo0s840Xc7FNtvVbcqz5/Bd4OiIWAj8J3BR07wnImJR+jg/n/LMrBPNmDGDrVu3TquAiAi2bt3KjBkzxv2e3C5ljYjmu8rdD7w1r1rMzBpmz55NX18f/f39eZfSUjNmzGD27NnjXn6y/M7hvcC/NL2eJ+lhYBvwiYi4d7g3SVoGLAM4+ODx3nrCzGxk5XKZefPm5V1G7toaDpLuBmYNM+viiPhWuszFQBVYnc57Cjg4IrZKOg64RdJRw91MKCJWAish+Z1DO7bBzKwTtTUcIuLU0eZLejdwJvC6SA/wRcR2YHs6vUbSE8ACwL9wMzObIHlerfQG4KPAn0XEH5raZ0oqptOHAPOBn+ZTpZlZZ8rznMM1QDfwXUkA96dXJp0MXC6pAtSB8yPiN/mVaWbWefK8WunQEdq/CXxzgssxM7Mm/oW0mZllOBzMzCzD4WBmZhkOBzMzy3A4mJlZhsPBzMwyHA5mZpbhcDAzswyHg5mZZTgczMwsw+FgZmYZDgczM8twOJiZWYbDwczMMhwOZmaW4XAwM7MMh4OZmWXkeQ/pf5C0TtJaSd+RdGDaLknLJW1K578irxrNzDpVnj2Hz0TEwohYBNwGXJK2nw7MTx/LgGvzKc/MrHPlFg4Rsa3p5YuASKfPAr4SifuBfSW9dMILNDPrYKU8P1zSFcA7gd8Cr0mbXwb8qmmxvrTtqWHev4ykd8HBBx/c1lrNzDpJW3sOku6WtH6Yx1kAEXFxRBwErAY+uKvrj4iVEdETET0zZ85sdflmZh2rrT2HiDh1nIuuBu4A/h54Ejioad7stM3MzCZInlcrzW96eRawMZ2+FXhnetXS8cBvIyJzSMnMzNonz3MOn5Z0GFAHfgGcn7bfAZwBbAL+ALwnn/LMzDpXbuEQEW8ZoT2AD0xwOWZm1sS/kDYzswyHg5mZZTgczMwsw+FgZmYZDgczM8twOJiZWYbDwczMMhwOZmaW4XAwM7MMh4OZmWU4HMzMLMPhYGZmGQ4HMzPLcDiYmVmGw8HMzDIcDmZmluFwMDOzjDzvIf0PktZJWivpO5IOTNuXSPpt2r5W0iV51Whm1qny7Dl8JiIWRsQi4DagOQTujYhF6ePyfMozM+tcuYVDRGxrevkiIPKqxczMdlbK88MlXQG8E/gt8JqmWSdI+gnwa+DDEfFoHvWZmXWqtvYcJN0taf0wj7MAIuLiiDgIWA18MH3bQ8CciDgW+EfgllHWv0xSr6Te/v7+dm6KmVlHUUT+R3MkHQzcERFHDzPv50BPRGwZbR09PT3R29vbpgrNzKYnSWsiomdoe55XK81venkWsDFtnyVJ6fRikhq3TnyFZmadK89zDp+WdBhQB34BnJ+2vxW4QFIVeA44JyZD98bMrIPkFg4R8ZYR2q8BrpngcszMrIl/IW1mZhm5Xso6GTzy/Qf4/ZatFMtlil3po1Si2F2mVO6i1FWm1F2m3FWm1NWVTndR7i5T6ipTKDhfzWz66fhw+MVnP8/Lf7pu2HnV9DGaqgrUCsXMo954LibT9WKJaDwXi+mjBMUiUSpB2k6ptNNDpTIqFlGphMql9LlMoVxCxRKFdLrxXCx3Uewq7Rx25STYiuXSsGFXKpcod3dR7u5y2JkZ4HDgsEsvZtvTW6kNVKhVKtQrFWqVKvVKlXqlstNzVCtEpUq9WoVKJXlOH9GYriXPqlahXkPVGqol7YVaMl3YXqFQT14X6jUKtRrFejJdHO7Rgh+PB+MLu5oKVFUYDLdM2BUKO4KukIRcvVgkCknYRakResk0hXEEXrERfGUKpSIqlymmQVhIp5PgK6ePUlMvr0ypu0QpDcVG6DWmHXpmu6fjw2H+4oV5lzCmWrVGtVKhsn2AykCF6vYBqgMVqpUq1e2VdHqAWjpdq1R2DruBJNCGDbs02KKSPlcrUK0RtR3BR7WKarUk+NKAU7WG6mnY1WqoMpA812sUatUk7Go1ClEfDLlG+JWiTjHqLflvE0AlfYz63xDtCLu0t1cvJCHYCL5o7ukVdvTuYjD8mnt7TcFXLEIaeJRKyXNz6BWTcFOpSKFUTkOvRCENv0KpSDHt2RVKafA1AjANv+Q56eWVutJDnt3JcuVyKXmvA9BaqOPDYSoolooUS0W6XzAj71Japl6vUx2oUNleoTIwkIZcEn61gWoSdpVqEnaNR6WaBF61Rm1gIO3hJQFXS8Nt2NCr1XYKvkbIJT29WraXV6+hWhJyhcoA2r6jh6fBoKsnbc09vDQISy0KPhh/+EF6iHMw+NKeXtPrJPgKg72+HQHYHH47AnDwUOfg66bwK6WHONPpQikJP6XtjddJ+DV6fiUKpfKOEEwDMAnEtPeXLlduHAYtl9JQLFPqKrkXOIEcDpaLQqFA14xuumZ0511Ky9XrdWqVKpXBcKtSGRigVknCcDD0KlWqAwPUq9Vhw69erSW9vMHQq1KvVohqLXldq+4IwUboVZMgzARgOk9p8DUCULUahUoF1bdTqKc9vyGHOgtRHwzBpCdYb9nhzmbjOewJSS+wXihQTcNv2CAcPPyZzB8MvzQkKQwNwuLOQZj2CHfqBRaLQw6DJm2N3p9KyaFPlYrpodDk4pbm3mChVBo8/zd4DjA9VFpu9AS7uwZ7iHkGocPBrMUKhQKF9FzHdFar1qhVq1S2V6hWKlTTXmC9Wk/DMOnRNQ551mu1wRCsp7292sAA9VoSdvXqjt5fvVIl6jWikoZh49xe2gtsTDfCj/Swp4ZMq7YjEFWvUagMUBzSEyykYdfcExwMwUjntzAIm8//bR/rv/Fgb7BATTsOhdaagrFeKHDIyhXMXbigZTWCw8HMdlPjcOd07P0N1Xzer1qppoc+k55fNe0J1isVqtVkXi09r1dtnOdr7g02zv+lPb6deoGVKvU09KIpAHf0ButN5/52HCLtflHrDzk7HMzMxjAdz/uNxWd2zMwsw+FgZmYZDgczM8twOJiZWYbDwczMMhwOZmaW4XAwM7MMh4OZmWVoutyeWVI/yb2od8f+wJYWljMVeJs7g7d5+tvT7Z0TETOHNk6bcNgTknojoifvOiaSt7kzeJunv3Ztrw8rmZlZhsPBzMwyHA6JlXkXkANvc2fwNk9/bdlen3MwM7MM9xzMzCzD4WBmZhnTNhwkfUnS05LWN7VdKulJSWvTxxlN8y6StEnS45Je39T+hrRtk6SPT/R2jNeubK+k/y5pjaRH0ufXNr3nuLR9k6TlkpTH9ozHru7jdP7Bkp6V9OGmtimxj2G3/l0vlHSfpEfT/TojbZ+W+1lSWdL16bZtkHRR03um9H5O2z8kaWO6P69qam/991dETMsHcDLwCmB9U9ulwIeHWfZI4CdANzAPeAIopo8ngEOArnSZI/PethZs7x8DB6bTRwNPNs17EDgeEHAncHre29aKbW6a/w3g641lptI+3o39XALWAcemr/cDitN5PwPnAjel0y8Efg7MnSb7+TXA3UB3+vqA9Lkt31/TtucQET8EfjPOxc8i+Qe1PSJ+BmwCFqePTRHx04gYAG5Kl510dmV7I+LhiPh1+vJR4AWSuiW9FNgnIu6P5F/dV4A3taXgFtjFfYykNwE/I9nmhimzj2GXt/k0YF1E/CR979aIqE3z/RzAiySVgBcAA8A2psd+vgD4dERsT5d5Om1vy/fXtA2HUXxQ0rq02/bitO1lwK+alulL20Zqn0qG295mbwEeSv/BvYxkGxum4vbCMNssaS/gY8BlQ5adDvsYht/PC4CQdJekhyR9NG2ftvuZpGf4e+Ap4JfAZyPiN0yP/bwAOEnSA5LukfTKtL0t31+dFg7XAi8HFpH84/lcrtW036jbK+ko4Erg/RNeWfuMtM2XAl+IiGfzKautRtrmEvBq4Lz0+c2SXpdHgW0w0jYvBmrAgSSHWP5W0iF5FNgGJeAlJIcDPwJ8rZ3nikrtWvFkFBH/rzEt6X8Dt6UvnwQOalp0dtrGKO2T3ijbi6TZwM3AOyPiibT5SZJtbJhS2wujbvOfAG9NT+LtC9QlPQ+sYQrvYxh1m/uAH0bElnTeHSTHsW9k+u7nc4FvR0QFeFrSj4Aekr+gp/R+Jtmf/5oeCnxQUp1k0L22fH91VM8hPdba8GagcSXArcA56XH3ecB8khN2/wHMlzRPUhdwTrrslDDS9kraF7gd+HhE/KixQEQ8BWyTdHz6F8k7gW9NXMV7bqRtjoiTImJuRMwFrgY+FRHXMMX3MYz67/ou4BhJL0yPwZ8CPDad9zPJoaTXpsu8iOSv7I1Mg/0M3EJyUhpJC0hOMm+hXd9feZ+Vb+PZ/n8m6W5WSBL3L4AbgEdIruC4FXhp0/IXk5zZf5ymKzeAM4D/TOddnPd2tWJ7gU+QHJdd2/RoXPnQQ/I/2hPANaS/op+Mj13dx03vu5SmK12myj7ezX/X/4PkBPx64Kqm9mm5n4G9SK5GexR4DPjINNrPXSS9vvXAQ8Brm5Zv+feXh88wM7OMjjqsZGZm4+NwMDOzDIeDmZllOBzMzCzD4WBmZhkOB7NxkPTvklp6E3dJ+0q6sOn1Ekm3jfaepmWvlnRyi+q4SdL8VqzLpg+Hg1l+9gUuHGuhoSTtBxwfyeBsrXAt8NExl7KO4nCwKUvSRyT9VTr9BUnfT6dfK2l1On2tpN50/PvL0rY3SPp603oG/2KXdJqS+x88JOnr6YB9Qz932GUk/VzSZWn7I5IOT9tnSvpuWsMqSb+QtD/waeDlSu5H8Jl09XtJ+oaSMftXjzB2zluAbzfVM9LnXqrk3gb3pp+5VNJV6TLfllROV3EvcGr6K2ozwOFgU9u9wEnpdA/JF2s5bWv8VX1xRPQAC4FTJC0kGRP/T9LhFQDOBm5Kv7A/AZwaEa8AeoG/af7AcSyzJW2/FmjcUOjvge9HxFEko4YenLZ/HHgiIhZFxEfStj8G/ppkjP5DgFcNs92vIhkTqtlwnwvJ4HSvBf6M5Ne1P4iIY4DngD8FiIg6yTDPxw7zWdahHA42la0BjpO0D7AduI8kJE4iCQ6At0t6CHgYOIrkZidVkr+835j+tfynJGMLHU/ypfwjSWuBdwFzhnzmWMv8a1Ntc9PpV5OMpU9EfBv4r1G26cGI6Eu/sNc2raPZS4H+IW3DfS7AnZEMQvcIyc1fGj2OR4Ys9zTJSKZmQIeNymrTS0RUJP0MeDfwY5Jxdl4DHApsSAch+zDwyoj4L0lfBmakb78J+CDJDVV6I+J36SGc70bEO0b52LGW2Z4+19i9/7+2N02PtI7n2LEdY31u48YwdUmV2DFeTn3IcjPS9ZoB7jnY1HcvSQD8MJ0+H3g4/RLch2SAwd9K+iPg9Kb33UMyfPVfkv5VD9wPvErSoZCM6pmOftlsPMsM9SPg7enypwGNG9P8Dth71zYXgA0kAdhKC9gxsqmZw8GmvHtJDrPcF8kY/8+nbURye8yHSYZs/irJlzTpvBrJPQBOT5+JiH6SXsg/S1pHcpjq8OYPG88yw7gMOE3JzeLfBmwGfhcRW0kOT61vOiE9HrcDS3Zh+VGlwflcRGxu1Tpt6vOorGZtJqkbqEVEVdIJwLURsWgP1/l/gDMj4pkW1Pc/gW0Rcd2ersumD59zMGu/g0lu6VggueH9X7ZgnX+brveZFqzrGZL7I5gNcs/BzMwyfM7BzMwyHA5mZpbhcDAzswyHg5mZZTgczMws4/8DRadujGdJOCgAAAAASUVORK5CYII=\n" - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], + "execution_count": null, + "metadata": {}, + "outputs": [], "source": [ "sp = np.load(filepaths[0])\n", "gf.simulation.plot.plot_sparameters(sp)" @@ -1437,64 +546,9 @@ }, { "cell_type": "code", - "execution_count": 42, - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
<Figure size 432x288 with 1 Axes>\n",
-       "
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\n" 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<Figure size 432x288 with 1 Axes>\n",
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k7xLqdQ/0VCrFokWLuP/++2lqarKhICOSdHd309TUxAMPPMADDzzgOazp5P/06dM555xz8kOlScY9oeyLqkbmxYloUKx5ZY0239esa15Zo7QGFzdUIPtyve3s7NRTTz1VARURBfq8hg4dqrt371ZV1a6urnr+DwyjLJx8ff3113Xo0KGe+e3k/SmnnKIdHR2qqprJZFS1V5NpeILUIbe+qaoC69VDUxNpkXFaSjpy5EjuvvtuwLvLKyIcPHiQCy64gL1795JOp60nYESC7u5u0uk0HR0dXHDBBRw8eNA3xwHuvvtuRo0aFatHPlZCOfqWOAOIk/hDtpHMnj2bq666ikwm02coSFVJpVK89tprTJ06lY6ODjMBo+Fxi/+UKVN49dVXSaVSfSZ+0+k0mUyGL37xi1x33XX5zyWVcvUtUQYQN/EH8qscHnzwQc466yzPsx/HGF599VWmTJliJmA0NF7i7wi9GxGhu7ub8ePH528IF7VVP0FSib4lxgDiKP5w9HbRo0aN4le/+hXQd3kcHG1Ur776KlOnTqWzs9NMwGg4nDx94403mDp1al78vfLUyfMVK1ZwwgknRPZ2z0FQqb4lwgDiKv4OzrUBZ599dv5uoF44jWvXrl1MmTLFTMBoKNziP2XKFHbt2tVvfi5atIiJEydGcs1/UFSlb14zw436qmQVUOFsuBdRXgXkxln5sGjRoqKrgtLptAI6ZswY7ezsVFXVI0eO1PS/YhhunPzr7OzUMWPG9MrTwpeT1w888ICqHs17L+K+CqgUfVP1XwVUd1Ev51WuAZRcOTExAFXV7u5uVVW95557ijYiLxPo7u4u2pgMIwycnC1F/J3t99xzT6/P+hFnAyhV31QTaABlVU6MDMAR8K6uLj3zzDNLakwtLS26bNmyfIyenp6a/HeMZOPOs2XLlmlLS0tJ+XrGGWfkewz9nbDE1QDK0TfVBjUA4DLgRWAbMK/f40s0gLIrJ0YGoHq0Yb311ls6btw4BXTAgAGejSqVSuXf33vvvfkY1hswwiKTyfQ6c1+4cKFnPrpfTv6OHTtW33zzTVUt7UQljgZQrr6pVmAAwO+BFr/91b6AJuBlYCwwAHgOOLvoZ0owgIoqJ2YGoHq0a/zmm2/q2LFjizYu91zBueeeq9u3b8/HsSuHjSBx59P27dv1vPPO88xDr5OUsWPH6r59+1S1/6Efh7gZQCX6pupvAMVWAT0CPCUid4pI3yeRV89UYJuqblfVI0Ab8PlqAsZ9tU85OCuDRowYwdq1a5k7d67vDeGy+ZFdUvr8889z5plnMnfu3PwqISByt9U1Ggsnf5xVPnPnzuXMM8/kueeeyy/ddPKwkEwmw5w5c1i7di0f/OAHE7viJxR983IFPXqWPgxYSPbs/BbgW86r2OdKeQFXAQ+7/v4q8EOP424A1gPrOc7fISt1RtV49gAc3N1kp6stIr5nW+7t48aN08cff7xXvFLPvAxDtW++tLW15YclC/OtMA+dfe6hyXLnp+LSA6hG31Qr6wEAHAEOAgOB4QWvmqCqS1R1sqpOZoj3MXbm749z+XxPTw+33XYb991339Ef3+NuiZo7C0un02zbto2ZM2dy3nnn0dbWBhy90rK7u9v3jM1INqqaX7vv5EtbWxuTJk3immuuYdu2bfmepVcOOTmrqixcuJDbb7+dnp4e35yNO6Hqm5cr5H6Uy4C/A/cCQ/yOq/QFXAg86fp7PjC/6Gc85gCqdUbVePcA3DiTusuXL8+vuPCbF8Cjp3DuuedqW1tbn7hdXV02YZxwMpmM53xRW1tbn3F+v7N+dz62tLTo8uXL87ErJeo9gCD0TdW/B1BMoP8vMMFvf7UvIA1sB07j6CRw0e8rNIDAKichBqB6tEu+Z88enTBhQr9dca9GO3XqVG1tbdUXXnihT+Ps6urSnp4eM4SYk8lktKenx1P0t27dqq2trTp16tSShd+9b8KECfr666+ravVDjlE2gKD0TbUCA6jFC7gc+E+yq4Hu7Pd4lwEEWjkJMgDV3isxnAvGSm2khfunTp2qCxYs0BdffNFT9Lu6urS7uztvCmYM0cL5zXp6erS7u9t3VdiLL76oCxYs0AsuuKDfnCm237nASzWYFWhRNYAg9U3V3wAkuy8ayEmi+roGPiYmCwS9KwL14NzoStX9tiIymUx+PPXll1/myiuvZMuWLbmvEYrlhYh4PpD7wgsv5KMf/SiTJ09m2rRpDB8+3PfWvIV3LXViBkGSbggWVPvVoydl+b+L/XbvvvsuK1eu5K9//Str167lL3/5S69j3OP4frjzbOLEifzmN79h3LhxQO/8rIZq20ktcXQojDF/EdmgqpMLt0fuxtk24RsMTuPKZDKcfvrpbN68mV/+8pf84Ac/yBtBsbswOg3XbQZr165l7dq1+fgXXnghF198Mfv27ePSSy/lkksuYf/+/Zx88smh3rM9KQ8EKSbS5eJVX6rK7t27OfbYY3n66adZuXIlzc3NrF69mrVr1/Y5AXCLfrFnUDt5papMmDCBO+64gy996UvAUeFP4mQv1F7fItcDaL65OfDKSWIPwE3h2daCBQtobW3N/13qHUNFpOizh4cOHcrBgwf5xCc+wUc+8hEOHTpEKpXi0KFDXH755XzsYx/jvffeq7jxZzIZhg0bxrHHHlvR56PI/v37OXDgQFV1NmTIEJ555hl+97vfMXjwYDKZDIMHD+aZZ57hj3/8Y/538yKdTudX6PRHYR7dddddvfIsqLN+N1HrATQPCV7fwL8HEDkDWPPMmuArJ+EG4OC+wObll19m4cKFPPLII/lG6zf041/c7PFeD/H2YtCgQRUPaYgIhw8fZsyYMUyfPp2urq6K4kQFVWXAgAGsWLGCnTt3MnDgwKrq7v333+/3OOehLP0N7bgpHApKp9PMnj2befPmcfrppwOEemFX1Axgzazg9Q1iZAD6evDlNQPojftMbMuWLTz55JM89thjbNq0KX9MNc8RKBzvL9UgjHApfOpWOULvFcv9m06aNImvfOUrfPrTn2bixIlAOGf8hUTNAMLQofYd7Vx02kXxmAMImvYd7fUuQsORSqXyQjBx4kQmTpzIzTffzIoVK1i9ejU//vGPezXucnsGhcJS6ufKKX9SCLLuqjHhwjN9Zx5mzpw5XHLJJUyfPr3XvJPzGSNcnDkFPxLdA3AqZ997+6wH4IMzoefuom/evJmnnnqKpUuX0tnZyd69e3t9xjmTDFrYjcbBmagtNI3Ro0czcuRIZs2axbRp0zjnnHPy+3p6ekilUjWdoE9yD8A9oezXA6jrdQDlvip5Ipgf7nW2SbsOoFKc9fwOmUxGDx06pMuWLdNZs2bp6NGjdfDgwZ7rvdPptKZSqaJXHtur8V7Ob+Z3j/5Bgwbp6NGj9dprr9Vly5bpoUOHel3r4Vw/UC/q0U4qJUgdKryOAJ/rABI5BGRLSSvD6QU4E4FNTU0MGjSIGTNmMGPGDAA2bdrEn/70J1KpFA8++CDvv/8+e/bs4fDhw0VjBzEc4CR10gjqGgqvHpuzLZPJMHDgQE488UQGDhzIN77xDTKZDB//+MeZNGlSn885D2i3YZ7aU46+Jc4ATPyrp7BRu7v2kyZNygvCjTfeSCqVYsOGDfz5z39m2LBhvPvuuzz00EMcPnw4H+fw4cPs2bOn1v+N2BCU8TniDkcF/8Ybb2T48OEcOHAgf5Gf1+StFgwVJvF2zY1AufqWKAMw8Q8Hd2N3egfu7eeffz7nn39+/pibbropf0wqleLAgQMsW7Ysf9ZYLqrKoEGDePTRR9m6dWtVy0mjhLN8c/z48cyePZv333+/4vpramri6quvZtiwYfmzfr+eRSqVyt/f3znLd64BMepHJfoWOQOo9MEk7TvauebX19D2xTb+6dR/6hMnCg88cZpXtqxNrveNiTNB6JwdQlYw3FevOhdvfe1rX6v6+6699lqOHDmSiKuAHTR3PUBQFC4D7erq6mXWTt26H+LSyDkYhXbiJix98yNyBlDJWYZTOcWcMUpnL+6yRqnctSBIMUwihUM7canPqLSTsPTNj8gZwPXXX1/W8XsG7mHNyDVc9MZFLL17KUtZ2vegMeXHrQc/zf2bLetPXe8NIBHDPn4kqddTHhFqJxXoUEn6VoTIXQdAOXOFLcB0YAWwo8hxrblXg+P8UuLxl2EYXkSonbRSng61UJq+ZYnHlcClLivTMYpepcivBNklFHv4ZYbwL0kPBNcVlM5QbSTKbRh1IkrtpBwdKkffwP+K8cgZQElXl7aQfeT8CtAditJ/LydKV626yxqlchtGvYhKOwlL3/xofFsslxbK6RYZhmFEhxYC1bd4GUALJv6GYcSTFgLXt8gNAfmNkZU7JubG5gAMI55EqZ0U06Fq9A3iPgfQQtVjYlEZIwSbAzCMcolKOwlL3/yInAEsX768199/O/g3Fr22iG+d8i0m3Dehopgz/j6jT9yGJHfDteXLlztvo1Fuw6gTUWonXjoUhL4B+Zs1FlKX6wBE5H7gvwFHgJeB61T1v/r9XMHzAIK6t489Ecww4kmU2kmhDgV57zK/R0LWqwewEpivqt0ishCYD9xeygede1xUeu+L/uI2MlG7F5Bh1J9otZOw9M2PuhiAqj7l+nMd2RGukmhqaqrq3hfF4kYFuxeQYZRHVNpJWPrmRyNMjV8P/MFvp4jcICLrRWQ979ktnQ3DiC+11rfQegAisgoY7bHrTlX9j9wxdwLdwC/84qjqEmAJZOcATPwNw4grtda30AxAVT9VbL+IzAY+C1yiZcxEm/gbhhFXaq1vdZkDEJHLgNuAT6jqe+V81sTfMIy4Eoa+te9o991XrzmAHwLDgZUisklEflSnchStHMMwjCjjzCn4URcDUNVxqnqqqk7Kvb5ej3L0VzmGYRhRxT2h7EcjrAKqC6VUjmEYRhQpdTVRIg3AlpIahhFXytG3xBmAib9hGHGlXH1LlAGY+BuGEVcq0bfEGICJv2EYcaVSfUuEAZj4G4YRV6rRt9gbgIm/YRhxpVp9i7UBmPgbhhFXgtC32BqAib9hGHElKH2LpQGY+BuGEVeC1LfYGYCJv2EYcSVofYuVAZj4G4YRV8LQt9gYgIm/YRhxJSx9i4UBmPgbhhFXwtS3yBuAib9hGHElbH2LtAGY+BuGEVdqoW+RNQATf8Mw4kqt9C2SBmDibxhGXKmlvkXOAEz8DcOIK7XWt8gZgIm/YRhxpdb6VlcDEJFvi4iKSHOpnzHxNwwjrtRa39I1+6YCRORUYBqwq5zPJVr8Vb3eGobhQ9TaSRj61r6j3XdfPXsAi4HbgLr+RMUqxzAMI8o4cwp+1MUAROTzwG5Vfa4e3+/QX+UYhmFEFfeEsh+hDQGJyCpgtMeuO4E7yA7/lBLnBuAGAI4LqnS9K+ein10UXGDDMIw6U+pqotAMQFU/5bVdRM4BTgOeExGAU4CNIjJVVfd6xFkCLAGQkySQ4SJbSmoYRlwpR99qPgmsqpuBUc7fIrIDmKyq+2rx/Sb+hmHElXL1TbTO0+TlGICcJMo/h18mwzCMWNHKBlWd3Ge7qkbmxYlopSxeu1ilVXTx2sV99tFaeVyHNa+s0eb7mnXNK2uqjmXxLb7FT178anSomL6pqgLr1UtTvTY26qtSA+i3cqo0gEZIHotv8S1+tONXqkP96Ztqgg2gpMqpwgAaJXksvsW3+NGOX4kOlaJvqgk1gJIrp0IDaKTksfgW3+JHO365OlSqvqkm0ADKqpwKDKDRksfiW3yLH+345ehQOfqmmjADKLtyyjSARkwei2/xLX6045eqQ+Xqm2qCDKCiyinDABo1eSy+xbf40Y5fig5Vom+qCTGAiiunRANo5OSx+Bbf4kc7fn86VKm+qSbAAKqqnBIMoNGTx+JbfIsf7fjFdKgafVONuQFUXTn9GEAUksfiW3yLH+34fjpUrb6pxtgAAqmcIgYQleSx+Bbf4kc7vpcOBaFvqjE1gMAqx8cAopQ8Ft/iW/xoxy/UoaD0TTWGBhBo5XgYQNSSx+JbfIsf7fhuHQpS31RjZgCBV06BAUQxeSy+xbf40Y7v6FDQ+qYaIwMIpXJcBhDV5LH4Ft/iRzs+reHom2qMDCCUyskZQJSTx+JbfIsf7fi0hqNvqjEygFAqp5XIJ4/Ft/gWP9rxnR5AGMTGAMKAViKfPBbf4lv8aMcP4sFUXixeu9gMoGjl5HoAYRCX5LT4Ft/ihxs/DANw5hTMAIpVTkjOG6fktPgW3+KHGz9oHXJPKJsBFKucEAwgbslp8S2+xQ83fpA6VLiayAygWOUEbABxTE6Lb/Etfrjxg9Ihr6WkfgYg2X3RQETeAHYGFK4Z2BdQrKCwMpWGlal0GrFcVqbSCLJMY1R1ZOHGSBlAkIjIelWdXO9yuLEylYaVqXQasVxWptKoRZlSYQY3DMMwGhczAMMwjISSZANYUu8CeGBlKg0rU+k0YrmsTKURepkSOwdgGIaRdJLcAzAMw0g0sTUAEZkuIn8TkYyITC7YN19EtonIiyLyaZ/PnyYiz+aOWyYiA0Io4zIR2ZR77RCRTT7H7RCRzbnj1gddjoLvahWR3a5yXe5z3GW5+tsmIvNCLtP9IrJVRJ4Xkd+IyAd8jgu9nvr7f4vIwNzvui2XPy1hlMP1faeKyBoR+Xsu32/yOOaTIvKO6zf9lzDL5Preor+HZPmfubp6XkQ+HHJ5PuSqg00isl9EvllwTOh1JSI/FZFOEdni2jZCRFaKyEu5f4/3+eys3DEvicisqgvjdXFAHF7AWcCHgHZgsmv72cBzwEDgNOBloMnj88uBa3LvfwT895DL+6/Av/js2wE016jeWoFb+jmmKVdvY4EBufo8O8QyTQPSufcLgYX1qKdS/t/AjcCPcu+vAZaF/HudCHw493448J8eZfok8Lta5E85vwdwOfAHQIB/BJ6tYdmagL1k18fXtK6AjwMfBra4tt0HzMu9n+eV48AIYHvu3+Nz74+vpiyx7QGo6guq+qLHrs8Dbap6WFVfAbYBU90HiIgAFwO/ym36GXBlWGXNfd8M4PGwviNgpgLbVHW7qh4B2sjWayio6lOq2p37cx1wSljf1Q+l/L8/TzZfIJs/l+R+31BQ1T2qujH3/l3gBeDksL4vYD4PLNUs64APiMiJNfruS4CXVTWoC0tLRlX/BLxVsNmdN35682lgpaq+papvAyuBy6opS2wNoAgnA6+6/n6Nvg3mg8B/uUTH65gg+SegQ1Vf8tmvwFMiskFEbgixHA7fyHXJf+rTFS2lDsPierJnjV6EXU+l/L/zx+Ty5x2y+RQ6ueGmfwCe9dh9oYg8JyJ/EJEJtSgP/f8e9cyja/A/4apHXZ2gqnty7/cCJ3gcE3h9pav5cL0RkVXAaI9dd6rqf9S6PF6UWMaZFD/7/5iq7haRUcBKEdmaO4sIvEzAvwH3kG2895Admrq+0u8KokxOPYnInUA38AufMIHWU5QQkWHAvwPfVNX9Bbs3kh3qOJCb0/nfwBk1KFZD/h65+bzPAfM9dterrvKoqopITZZnRtoAVPVTFXxsN3Cq6+9TctvcvEm2O5rOncV5HRNIGUUkDXwROL9IjN25fztF5DdkhyIqbkil1puI/Bj4nceuUuow0DKJyGzgs8AlmhsQ9YgRaD15UMr/2znmtdxvexzZfAoNETmGrPj/QlV/XbjfbQiq+nsReUhEmlU11HvflPB7BJ5HJfIZYKOqdhTuqFddAR0icqKq7skNg3V6HLOb7ByFwylk5zgrJolDQE8A1+RWa5xG1t3/n/uAnMCsAa7KbZoFhNWj+BSwVVVf89opIkNFZLjznuyE6BavY4OgYAz2Cz7f9VfgDMmulBpAtjv9RIhlugy4Dficqr7nc0wt6qmU//cTZPMFsvmz2s+wgiA3v/AT4AVVXeRzzGhnHkJEppJt92GbUim/xxPAtbnVQP8IvOMaBgkT3x53Peoqhztv/PTmSWCaiByfG5qdlttWOWHOdtfzRVa8XgMOAx3Ak659d5JdzfEi8BnX9t8DJ+XejyVrDNuAFcDAkMr5KPD1gm0nAb93leO53OtvZIdEwqy3nwObgedzSXliYZlyf19OdsXJyzUo0zayY5+bcq8fFZapVvXk9f8G7iZrTgCDcvmyLZc/Y0Oum4+RHa573lU/lwNfd/IK+EauTp4jO4n+kTDLVOz3KCiXAA/m6nIzrtV6IZZrKFlBP861raZ1RdZ89gBdOY36Gtl5oqeBl4BVwIjcsZOBh12fvT6XW9uA66oti10JbBiGkVCSOARkGIZhYAZgGIaRWMwADMMwEooZgGEYRkIxAzAMw0goZgCGUSGSvRPnKyIyIvf38bm/W+pcNMMoCTMAw6gQVX2V7K0z7s1tuhdYoqo76lYowygDuw7AMKogdxuGDcBPgbnAJFXtqm+pDKM0In0vIMOoN6raJSK3Av8HmGbib0QJGwIyjOr5DNlL+yfWuyCGUQ5mAIZRBSIyCbiU7BOtbq7hA00Mo2rMAAyjQnJ3jfw3svfg3wXcDzxQ31IZRumYARhG5cwFdqnqytzfDwFnicgn6lgmwygZWwVkGIaRUKwHYBiGkVDMAAzDMBKKGYBhGEZCMQMwDMNIKGYAhmEYCcUMwDAMI6GYARiGYSQUMwDDMIyE8v8BNCr3X7gB/IIAAAAASUVORK5CYII=\n" - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], + "execution_count": null, + "metadata": {}, + "outputs": [], "source": [ "p = 2.5\n", "gm.write_sparameters_meep(c, ymargin=0, ymargin_bot=p, xmargin=p, run=False)" @@ -1556,121 +566,9 @@ }, { "cell_type": "code", - "execution_count": 44, - "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "2022-11-13 19:53:57.508 | INFO | gdsfactory.simulation.gmeep.write_sparameters_meep_batch:write_sparameters_meep_batch:136 - Simulation PosixPath('/usr/local/google/home/jmatres/ubc/sparameters/coupler_ring_d97f3207.npz') not found. Adding it to the queue\n", - "2022-11-13 19:53:57.510 | INFO | gdsfactory.simulation.gmeep.write_sparameters_meep_batch:write_sparameters_meep_batch:144 - Running 1 simulations\n", - "2022-11-13 19:53:57.511 | INFO | gdsfactory.simulation.gmeep.write_sparameters_meep_batch:write_sparameters_meep_batch:145 - total_cores = 8 with cores_per_run = 4\n", - "2022-11-13 19:53:57.511 | INFO | gdsfactory.simulation.gmeep.write_sparameters_meep_batch:write_sparameters_meep_batch:146 - Running 1 batches with up to 2 jobs each.\n" - ] - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "cd06f7f85b374cf8a4239b4d8fe642b3", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - " 0%| | 0/1 [00:00:45 - Load '/usr/local/google/home/jmatres/mambaforge/lib/python3.9/site-packages/gdsfactory' 6.0.1\n", - "2022-11-13 19:53:58.114 | INFO | gdsfactory.config::45 - Load '/usr/local/google/home/jmatres/mambaforge/lib/python3.9/site-packages/gdsfactory' 6.0.1\n", - "2022-11-13 19:53:58.120 | INFO | gdsfactory.config::45 - Load '/usr/local/google/home/jmatres/mambaforge/lib/python3.9/site-packages/gdsfactory' 6.0.1\n", - "2022-11-13 19:53:58.121 | INFO | gdsfactory.config::45 - Load '/usr/local/google/home/jmatres/mambaforge/lib/python3.9/site-packages/gdsfactory' 6.0.1\n", - "/usr/local/google/home/jmatres/mambaforge/lib/python3.9/site-packages/scipy/__init__.py:146: UserWarning: A NumPy version >=1.16.5 and <1.23.0 is required for this version of SciPy (detected version 1.23.4\n", - " warnings.warn(f\"A NumPy version >={np_minversion} and <{np_maxversion}\"\n", - "/usr/local/google/home/jmatres/mambaforge/lib/python3.9/site-packages/scipy/__init__.py:146: UserWarning: A NumPy version >=1.16.5 and <1.23.0 is required for this version of SciPy (detected version 1.23.4\n", - " warnings.warn(f\"A NumPy version >={np_minversion} and <{np_maxversion}\"\n", - "/usr/local/google/home/jmatres/mambaforge/lib/python3.9/site-packages/scipy/__init__.py:146: UserWarning: A NumPy version >=1.16.5 and <1.23.0 is required for this version of SciPy (detected version 1.23.4\n", - " warnings.warn(f\"A NumPy version >={np_minversion} and <{np_maxversion}\"\n", - "/usr/local/google/home/jmatres/mambaforge/lib/python3.9/site-packages/scipy/__init__.py:146: UserWarning: A NumPy version >=1.16.5 and <1.23.0 is required for this version of SciPy (detected version 1.23.4\n", - " warnings.warn(f\"A NumPy version >={np_minversion} and <{np_maxversion}\"\n", - "2022-11-13 19:54:00.829 | INFO | gdsfactory.simulation.gmeep::32 - Meep '1.24.0' installed at ['/usr/local/google/home/jmatres/mambaforge/lib/python3.9/site-packages/meep']\n", - "2022-11-13 19:54:00.830 | INFO | gdsfactory.read.import_gds:import_gds:106 - Read YAML metadata from /usr/local/google/home/jmatres/mambaforge/lib/python3.9/site-packages/gdslib/sp/temp/write_sparameters_meep_mpi_0.yml\n", - "2022-11-13 19:54:00.834 | INFO | gdsfactory.simulation.gmeep::32 - Meep '1.24.0' installed at ['/usr/local/google/home/jmatres/mambaforge/lib/python3.9/site-packages/meep']\n", - "2022-11-13 19:54:00.836 | INFO | gdsfactory.read.import_gds:import_gds:106 - Read YAML metadata from /usr/local/google/home/jmatres/mambaforge/lib/python3.9/site-packages/gdslib/sp/temp/write_sparameters_meep_mpi_0.yml\n", - "2022-11-13 19:54:00.863 | INFO | gdsfactory.simulation.gmeep::32 - Meep '1.24.0' installed at ['/usr/local/google/home/jmatres/mambaforge/lib/python3.9/site-packages/meep']\n", - "2022-11-13 19:54:00.865 | INFO | gdsfactory.read.import_gds:import_gds:106 - Read YAML metadata from /usr/local/google/home/jmatres/mambaforge/lib/python3.9/site-packages/gdslib/sp/temp/write_sparameters_meep_mpi_0.yml\n", - " 0%| | 0/4 [00:00:32 - Meep '1.24.0' installed at ['/usr/local/google/home/jmatres/mambaforge/lib/python3.9/site-packages/meep']\n", - "2022-11-13 19:54:00.905 | INFO | gdsfactory.read.import_gds:import_gds:106 - Read YAML metadata from /usr/local/google/home/jmatres/mambaforge/lib/python3.9/site-packages/gdslib/sp/temp/write_sparameters_meep_mpi_0.yml\n", - " 0%| | 0/4 [00:00:54 - Tidy3d '1.7.1' installed at ['/usr/local/google/home/jmatres/mambaforge/lib/python3.9/site-packages/tidy3d']\n", - "/usr/local/google/home/jmatres/mambaforge/lib/python3.9/site-packages/meep/__init__.py:4488: ComplexWarning: Casting complex values to real discards the imaginary part\n", - " return _meep.create_structure(cell_size, dft_data_list_, pml_1d_vols_, pml_2d_vols_, pml_3d_vols_, absorber_vols_, gv, br, sym, num_chunks, Courant, use_anisotropic_averaging, tol, maxeval, gobj_list, center, _ensure_periodicity, _default_material, alist, extra_materials, split_chunks_evenly, set_materials, existing_s, output_chunk_costs, my_bp)\n", - "2022-11-13 19:54:01.945 | INFO | gdsfactory.simulation.gtidy3d::54 - Tidy3d '1.7.1' installed at ['/usr/local/google/home/jmatres/mambaforge/lib/python3.9/site-packages/tidy3d']\n", - "/usr/local/google/home/jmatres/mambaforge/lib/python3.9/site-packages/meep/__init__.py:4491: ComplexWarning: Casting complex values to real discards the imaginary part\n", - " return _meep._set_materials(s, cell_size, gv, use_anisotropic_averaging, tol, maxeval, gobj_list, center, _ensure_periodicity, _default_material, alist, extra_materials, split_chunks_evenly, set_materials, existing_geps, output_chunk_costs, my_bp)\n", - "/usr/local/google/home/jmatres/mambaforge/lib/python3.9/site-packages/meep/__init__.py:4488: ComplexWarning: Casting complex values to real discards the imaginary part\n", - " return _meep.create_structure(cell_size, dft_data_list_, pml_1d_vols_, pml_2d_vols_, pml_3d_vols_, absorber_vols_, gv, br, sym, num_chunks, Courant, use_anisotropic_averaging, tol, maxeval, gobj_list, center, _ensure_periodicity, _default_material, alist, extra_materials, split_chunks_evenly, set_materials, existing_s, output_chunk_costs, my_bp)\n", - "/usr/local/google/home/jmatres/mambaforge/lib/python3.9/site-packages/meep/__init__.py:4491: ComplexWarning: Casting complex values to real discards the imaginary part\n", - " return _meep._set_materials(s, cell_size, gv, use_anisotropic_averaging, tol, maxeval, gobj_list, center, _ensure_periodicity, _default_material, alist, extra_materials, split_chunks_evenly, set_materials, existing_geps, output_chunk_costs, my_bp)\n", - "2022-11-13 19:54:01.968 | INFO | gdsfactory.simulation.gtidy3d::54 - Tidy3d '1.7.1' installed at ['/usr/local/google/home/jmatres/mambaforge/lib/python3.9/site-packages/tidy3d']\n", - "/usr/local/google/home/jmatres/mambaforge/lib/python3.9/site-packages/meep/__init__.py:4488: ComplexWarning: Casting complex values to real discards the imaginary part\n", - " return _meep.create_structure(cell_size, dft_data_list_, pml_1d_vols_, pml_2d_vols_, pml_3d_vols_, absorber_vols_, gv, br, sym, num_chunks, Courant, use_anisotropic_averaging, tol, maxeval, gobj_list, center, _ensure_periodicity, _default_material, alist, extra_materials, split_chunks_evenly, set_materials, existing_s, output_chunk_costs, my_bp)\n", - "/usr/local/google/home/jmatres/mambaforge/lib/python3.9/site-packages/meep/__init__.py:4491: ComplexWarning: Casting complex values to real discards the imaginary part\n", - " return _meep._set_materials(s, cell_size, gv, use_anisotropic_averaging, tol, maxeval, gobj_list, center, _ensure_periodicity, _default_material, alist, extra_materials, split_chunks_evenly, set_materials, existing_geps, output_chunk_costs, my_bp)\n", - "2022-11-13 19:54:02.074 | INFO | gdsfactory.simulation.gtidy3d::54 - Tidy3d '1.7.1' installed at ['/usr/local/google/home/jmatres/mambaforge/lib/python3.9/site-packages/tidy3d']\n", - "/usr/local/google/home/jmatres/mambaforge/lib/python3.9/site-packages/meep/__init__.py:4488: ComplexWarning: Casting complex values to real discards the imaginary part\n", - " return _meep.create_structure(cell_size, dft_data_list_, pml_1d_vols_, pml_2d_vols_, pml_3d_vols_, absorber_vols_, gv, br, sym, num_chunks, Courant, use_anisotropic_averaging, tol, maxeval, gobj_list, center, _ensure_periodicity, _default_material, alist, extra_materials, split_chunks_evenly, set_materials, existing_s, output_chunk_costs, my_bp)\n", - "/usr/local/google/home/jmatres/mambaforge/lib/python3.9/site-packages/meep/__init__.py:4491: ComplexWarning: Casting complex values to real discards the imaginary part\n", - " return _meep._set_materials(s, cell_size, gv, use_anisotropic_averaging, tol, maxeval, gobj_list, center, _ensure_periodicity, _default_material, alist, extra_materials, split_chunks_evenly, set_materials, existing_geps, output_chunk_costs, my_bp)\n", - "100%|██████████| 4/4 [03:28<00:00, 52.13s/it]\n", - "2022-11-13 19:57:29.405 | INFO | gdsfactory.simulation.gmeep.write_sparameters_meep:write_sparameters_meep:500 - Write simulation results to PosixPath('/usr/local/google/home/jmatres/ubc/sparameters/coupler_ring_4778e15a.npz')\n", - "2022-11-13 19:57:29.420 | INFO | gdsfactory.simulation.gmeep.write_sparameters_meep:write_sparameters_meep:502 - Write simulation settings to PosixPath('/usr/local/google/home/jmatres/ubc/sparameters/coupler_ring_4778e15a.yml')\n", - "100%|██████████| 4/4 [03:36<00:00, 54.06s/it]\n", - "2022-11-13 19:57:37.178 | INFO | gdsfactory.simulation.gmeep.write_sparameters_meep:write_sparameters_meep:500 - Write simulation results to PosixPath('/usr/local/google/home/jmatres/ubc/sparameters/coupler_ring_4778e15a.npz')\n", - "2022-11-13 19:57:37.191 | INFO | gdsfactory.simulation.gmeep.write_sparameters_meep:write_sparameters_meep:502 - Write simulation settings to PosixPath('/usr/local/google/home/jmatres/ubc/sparameters/coupler_ring_4778e15a.yml')\n", - "100%|██████████| 4/4 [03:36<00:00, 54.23s/it]\n", - "2022-11-13 19:57:37.824 | INFO | gdsfactory.simulation.gmeep.write_sparameters_meep:write_sparameters_meep:500 - Write simulation results to PosixPath('/usr/local/google/home/jmatres/ubc/sparameters/coupler_ring_4778e15a.npz')\n", - "2022-11-13 19:57:37.838 | INFO | gdsfactory.simulation.gmeep.write_sparameters_meep:write_sparameters_meep:502 - Write simulation settings to PosixPath('/usr/local/google/home/jmatres/ubc/sparameters/coupler_ring_4778e15a.yml')\n", - "100%|██████████| 4/4 [03:40<00:00, 55.14s/it]\n", - "2022-11-13 19:57:41.543 | INFO | gdsfactory.simulation.gmeep.write_sparameters_meep:write_sparameters_meep:500 - Write simulation results to PosixPath('/usr/local/google/home/jmatres/ubc/sparameters/coupler_ring_4778e15a.npz')\n", - "2022-11-13 19:57:41.558 | INFO | gdsfactory.simulation.gmeep.write_sparameters_meep:write_sparameters_meep:502 - Write simulation settings to PosixPath('/usr/local/google/home/jmatres/ubc/sparameters/coupler_ring_4778e15a.yml')\n", - "\n" - ] - } - ], + "execution_count": null, + "metadata": {}, + "outputs": [], "source": [ "c1_dict = dict(\n", " component=c,\n", @@ -1691,7 +589,7 @@ }, { "cell_type": "code", - "execution_count": 46, + "execution_count": null, "metadata": {}, "outputs": [], "source": [ @@ -1700,128 +598,36 @@ }, { "cell_type": "code", - "execution_count": 47, - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
<Figure size 432x288 with 1 Axes>\n",
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\n" - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], + "execution_count": null, + "metadata": {}, + "outputs": [], "source": [ "gm.plot.plot_sparameters(sp)" ] }, { "cell_type": "code", - "execution_count": 48, - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
<Figure size 432x288 with 1 Axes>\n",
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\n" - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], + "execution_count": null, + "metadata": {}, + "outputs": [], "source": [ "gm.plot.plot_sparameters(sp, keys=[\"s31m\", \"s41m\"], with_simpler_input_keys=True)" ] }, { "cell_type": "code", - "execution_count": 49, - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
<Figure size 432x288 with 1 Axes>\n",
-       "
\n" - ], - "text/plain": [ - "\u001b[1m<\u001b[0m\u001b[1;95mFigure\u001b[0m\u001b[39m size 432x288 with \u001b[0m\u001b[1;36m1\u001b[0m\u001b[39m Axes\u001b[0m\u001b[1m>\u001b[0m\n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "image/png": 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\n" - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], + "execution_count": null, + "metadata": {}, + "outputs": [], "source": [ "gm.plot.plot_sparameters(sp, keys=[\"s31m\"], with_simpler_input_keys=True)" ] }, { "cell_type": "code", - "execution_count": 50, - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
<Figure size 432x288 with 1 Axes>\n",
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-       "                    ar.txt                                                                   \n",
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\n" 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<Figure size 432x288 with 1 Axes>\n",
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" - ] - }, - "execution_count": 52, - "metadata": {}, - "output_type": "execute_result" - } - ], + "execution_count": null, + "metadata": {}, + "outputs": [], "source": [ "scene = y.to_3d()\n", "scene.show()" @@ -3273,64 +675,9 @@ }, { "cell_type": "code", - "execution_count": 53, - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
<Figure size 432x288 with 1 Axes>\n",
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\n" 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<Figure size 432x288 with 1 Axes>\n",
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\n" 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"output_type": "display_data" - }, - { - "data": { - "image/png": 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\n" 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<Figure size 432x288 with 1 Axes>\n",
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\n" - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "mzi_073734d6: uid fc667ec6, ports ['o1', 'o2'], references ['bend_euler_1', 'bend_euler_2', 'bend_euler_3', 'bend_euler_4', 'bend_euler_5', 'bend_euler_6', 'straight_5', 'straight_6', 'straight_7', 'bend_euler_7', 'bend_euler_8', 'straight_8', 'straight_9', 'straight_10', 'sytl', 'syl', 'sxt', 'sxb', 'cp1', 'cp2'], 0 polygons" - ] - }, - "execution_count": 55, - "metadata": {}, - "output_type": "execute_result" - } - ], + "execution_count": null, + "metadata": {}, + "outputs": [], "source": [ "mzi10 = gf.components.mzi(splitter=y, delta_length=10)\n", "mzi10" @@ -3444,19 +706,9 @@ }, { "cell_type": "code", - "execution_count": 1, - "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "2022-11-13 21:37:27.592 | INFO | gdsfactory.config::45 - Load '/usr/local/google/home/jmatres/gdsfactory/gdsfactory' 6.0.3\n", - "2022-11-13 21:37:29.067 | INFO | gdsfactory.simulation.gmeep::32 - Meep '1.24.0' installed at ['/usr/local/google/home/jmatres/mambaforge/lib/python3.9/site-packages/meep']\n", - "2022-11-13 21:37:29.200 | INFO | ubcpdk::36 - Found UBCpdk '1.8.0' installed at PosixPath('/usr/local/google/home/jmatres/ubc/ubcpdk')\n" - ] - } - ], + "execution_count": null, + "metadata": {}, + "outputs": [], "source": [ "import matplotlib.pyplot as plt\n", "import numpy as np\n", @@ -3474,35 +726,9 @@ }, { "cell_type": "code", - "execution_count": 2, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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\n", 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\n", 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" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "mzi_073734d6: uid e67dfef5, ports ['o1', 'o2'], references ['bend_euler_1', 'bend_euler_2', 'bend_euler_3', 'bend_euler_4', 'bend_euler_5', 'bend_euler_6', 'straight_5', 'straight_6', 'straight_7', 'bend_euler_7', 'bend_euler_8', 'straight_8', 'straight_9', 'straight_10', 'sytl', 'syl', 'sxt', 'sxb', 'cp1', 'cp2'], 0 polygons" - ], - "text/plain": [ - "mzi_073734d6: uid e67dfef5, ports ['o1', 'o2'], references ['bend_euler_1', 'bend_euler_2', 'bend_euler_3', 'bend_euler_4', 'bend_euler_5', 'bend_euler_6', 'straight_5', 'straight_6', 'straight_7', 'bend_euler_7', 'bend_euler_8', 'straight_8', 'straight_9', 'straight_10', 'sytl', 'syl', 'sxt', 'sxb', 'cp1', 'cp2'], 0 polygons" - ] - }, - "execution_count": 3, - "metadata": {}, - "output_type": "execute_result" - } - ], + "execution_count": null, + "metadata": {}, + "outputs": [], "source": [ "mzi = gf.components.mzi(splitter=y, delta_length=10)\n", "mzi" @@ -3548,7 +748,7 @@ }, { "cell_type": "code", - "execution_count": 4, + "execution_count": null, "metadata": {}, "outputs": [], "source": [ @@ -3564,18 +764,9 @@ }, { "cell_type": "code", - "execution_count": 5, - "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "2022-11-13 21:37:30.170 | INFO | gdsfactory.simulation.gmeep.write_sparameters_meep:write_sparameters_meep:341 - Simulation loaded from PosixPath('/usr/local/google/home/jmatres/ubc/sparameters/ebeam_y_1550_1f494ca0.npz')\n", - "WARNING:absl:No GPU/TPU found, falling back to CPU. (Set TF_CPP_MIN_LOG_LEVEL=0 and rerun for more info.)\n" - ] - } - ], + "execution_count": null, + "metadata": {}, + "outputs": [], "source": [ "sp = gm.write_sparameters_meep(y, run=True)\n", "#ebeam_y_1550 = gsax.read.sdict_from_csv(filepath=df)\n", @@ -3584,27 +775,16 @@ }, { "cell_type": "code", - "execution_count": 6, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "numpy.lib.npyio.NpzFile" - ] - }, - "execution_count": 6, - "metadata": {}, - "output_type": "execute_result" - } - ], + "execution_count": null, + "metadata": {}, + "outputs": [], "source": [ "type(sp)" ] }, { "cell_type": "code", - "execution_count": 8, + "execution_count": null, "metadata": {}, "outputs": [], "source": [ @@ -3621,22 +801,9 @@ }, { "cell_type": "code", - "execution_count": 9, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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\n", - "text/plain": [ - "
" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], + "execution_count": null, + "metadata": {}, + "outputs": [], "source": [ "wl = np.linspace(1.5, 1.6)\n", "S = circuit(wl=wl)\n", @@ -3651,35 +818,9 @@ }, { "cell_type": "code", - "execution_count": 10, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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\n", - "text/plain": [ - "
" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "mzi_37692514: uid 6d60dae2, ports ['o1', 'o2'], references ['bend_euler_1', 'bend_euler_2', 'bend_euler_3', 'bend_euler_4', 'bend_euler_5', 'bend_euler_6', 'straight_5', 'straight_6', 'straight_7', 'bend_euler_7', 'bend_euler_8', 'straight_8', 'straight_9', 'straight_10', 'sytl', 'syl', 'sxt', 'sxb', 'cp1', 'cp2'], 0 polygons" - ], - "text/plain": [ - "mzi_37692514: uid 6d60dae2, ports ['o1', 'o2'], references ['bend_euler_1', 'bend_euler_2', 'bend_euler_3', 'bend_euler_4', 'bend_euler_5', 'bend_euler_6', 'straight_5', 'straight_6', 'straight_7', 'bend_euler_7', 'bend_euler_8', 'straight_8', 'straight_9', 'straight_10', 'sytl', 'syl', 'sxt', 'sxb', 'cp1', 'cp2'], 0 polygons" - ] - }, - "execution_count": 10, - "metadata": {}, - "output_type": "execute_result" - } - ], + "execution_count": null, + "metadata": {}, + "outputs": [], "source": [ "mzi = gf.components.mzi(splitter=y, delta_length=20)\n", "mzi" @@ -3687,7 +828,7 @@ }, { "cell_type": "code", - "execution_count": 12, + "execution_count": null, "metadata": {}, "outputs": [], "source": [ @@ -3704,22 +845,9 @@ }, { "cell_type": "code", - "execution_count": 13, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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- "text/plain": [ - "
" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], + "execution_count": null, + "metadata": {}, + "outputs": [], "source": [ "wl = np.linspace(1.5, 1.6)\n", "S = circuit(wl=wl)\n", From b3b2869c52d8ffe0d82311c6afe637e74ee0c77b Mon Sep 17 00:00:00 2001 From: Joaquin Matres <4514346+joamatab@users.noreply.github.com> Date: Sun, 13 Nov 2022 22:11:44 -0800 Subject: [PATCH 6/6] fix gdsfactory version --- requirements.txt | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/requirements.txt b/requirements.txt index 6e4f9fdd..f170bffc 100644 --- a/requirements.txt +++ b/requirements.txt @@ -1,4 +1,4 @@ lygadgets flayout -gdsfactory[full,tidy3d]==6.0.1 +gdsfactory[full,tidy3d]==6.0.3 modes==1.0.6

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a6`Pcu=F5lE^KD}tb|6dM>-ma`vVQ?|`U+hD diff --git a/ubcpdk/tests/test_components/test_pdk_settings_coupler_ring_.yml b/ubcpdk/tests/test_components/test_pdk_settings_coupler_ring_.yml index 40d3caa3..3a9f7877 100644 --- a/ubcpdk/tests/test_components/test_pdk_settings_coupler_ring_.yml +++ b/ubcpdk/tests/test_components/test_pdk_settings_coupler_ring_.yml @@ -3,25 +3,33 @@ settings: changed: {} child: null default: - bend: bend_euler + bend: + function: bend_euler bend_cross_section: null - coupler90: coupler90 - coupler_straight: coupler_straight + coupler90: + function: coupler90 + coupler_straight: + function: coupler_straight cross_section: strip gap: 0.2 length_x: 4.0 radius: 5.0 - straight: straight + straight: + function: straight full: - bend: bend_euler + bend: + function: bend_euler bend_cross_section: null - coupler90: coupler90 - coupler_straight: coupler_straight + coupler90: + function: coupler90 + coupler_straight: + function: coupler_straight cross_section: strip gap: 0.2 length_x: 4.0 radius: 5.0 - straight: straight + straight: + function: straight function_name: coupler_ring info: {} info_version: 2 diff --git a/ubcpdk/tests/test_components/test_pdk_settings_dbr_cavity_.yml b/ubcpdk/tests/test_components/test_pdk_settings_dbr_cavity_.yml index a7cd3de2..4ad7a23f 100644 --- a/ubcpdk/tests/test_components/test_pdk_settings_dbr_cavity_.yml +++ b/ubcpdk/tests/test_components/test_pdk_settings_dbr_cavity_.yml @@ -1,30 +1,9 @@ -name: dbr_cavity_11e4c29a +name: dbr_cavity_aa257b23 settings: changed: component: - name: dbr - settings: - changed: {} - child: null - default: - cross_section: strip_no_pins - dw: 0.1 - l1: 0.07940573770491803 - l2: 0.07940573770491803 - n: 600 - w0: 0.5 - full: - cross_section: strip_no_pins - dw: 0.1 - l1: 0.07940573770491803 - l2: 0.07940573770491803 - n: 600 - w0: 0.5 - function_name: dbr - info: {} - info_version: 2 - module: ubcpdk.components - name: dbr + component: dbr + settings: {} coupler: function: coupler child: @@ -57,29 +36,8 @@ settings: length: 0.1 full: component: - name: dbr - settings: - changed: {} - child: null - default: - cross_section: strip_no_pins - dw: 0.1 - l1: 0.07940573770491803 - l2: 0.07940573770491803 - n: 600 - w0: 0.5 - full: - cross_section: strip_no_pins - dw: 0.1 - l1: 0.07940573770491803 - l2: 0.07940573770491803 - n: 600 - w0: 0.5 - function_name: dbr - info: {} - info_version: 2 - module: ubcpdk.components - name: dbr + component: dbr + settings: {} coupler: function: coupler gap: 0.2 @@ -88,4 +46,4 @@ settings: info: {} info_version: 2 module: gdsfactory.components.cavity - name: dbr_cavity_11e4c29a + name: dbr_cavity_aa257b23 diff --git a/ubcpdk/tests/test_components/test_pdk_settings_dbr_cavity_te_.yml b/ubcpdk/tests/test_components/test_pdk_settings_dbr_cavity_te_.yml index 97fc41ec..056a3c8f 100644 --- a/ubcpdk/tests/test_components/test_pdk_settings_dbr_cavity_te_.yml +++ b/ubcpdk/tests/test_components/test_pdk_settings_dbr_cavity_te_.yml @@ -1,98 +1,14 @@ -name: add_fiber_array_eab0e416 +name: add_fiber_array_b89d850a settings: changed: component: - name: dbr_cavity_11e4c29a + component: cavity settings: - changed: - component: - name: dbr - settings: - changed: {} - child: null - default: - cross_section: strip_no_pins - dw: 0.1 - l1: 0.07940573770491803 - l2: 0.07940573770491803 - n: 600 - w0: 0.5 - full: - cross_section: strip_no_pins - dw: 0.1 - l1: 0.07940573770491803 - l2: 0.07940573770491803 - n: 600 - w0: 0.5 - function_name: dbr - info: {} - info_version: 2 - module: ubcpdk.components - name: dbr - coupler: - function: coupler - child: - changed: {} - child: null - default: - cross_section: strip_no_pins - dw: 0.1 - l1: 0.07940573770491803 - l2: 0.07940573770491803 - n: 600 - w0: 0.5 - full: - cross_section: strip_no_pins - dw: 0.1 - l1: 0.07940573770491803 - l2: 0.07940573770491803 - n: 600 - w0: 0.5 - function_name: dbr - info: {} - info_version: 2 - module: ubcpdk.components - name: dbr - default: - component: - function: dbr - coupler: coupler - gap: 0.2 - length: 0.1 - full: - component: - name: dbr - settings: - changed: {} - child: null - default: - cross_section: strip_no_pins - dw: 0.1 - l1: 0.07940573770491803 - l2: 0.07940573770491803 - n: 600 - w0: 0.5 - full: - cross_section: strip_no_pins - dw: 0.1 - l1: 0.07940573770491803 - l2: 0.07940573770491803 - n: 600 - w0: 0.5 - function_name: dbr - info: {} - info_version: 2 - module: ubcpdk.components - name: dbr - coupler: - function: coupler - gap: 0.2 - length: 0.1 - function_name: cavity - info: {} - info_version: 2 - module: gdsfactory.components.cavity - name: dbr_cavity_11e4c29a + component: + component: dbr + settings: {} + coupler: + function: coupler child: null default: component: straight @@ -101,97 +17,13 @@ settings: function: ebeam_gc_te1550 full: component: - name: dbr_cavity_11e4c29a + component: cavity settings: - changed: - component: - name: dbr - settings: - changed: {} - child: null - default: - cross_section: strip_no_pins - dw: 0.1 - l1: 0.07940573770491803 - l2: 0.07940573770491803 - n: 600 - w0: 0.5 - full: - cross_section: strip_no_pins - dw: 0.1 - l1: 0.07940573770491803 - l2: 0.07940573770491803 - n: 600 - w0: 0.5 - function_name: dbr - info: {} - info_version: 2 - module: ubcpdk.components - name: dbr - coupler: - function: coupler - child: - changed: {} - child: null - default: - cross_section: strip_no_pins - dw: 0.1 - l1: 0.07940573770491803 - l2: 0.07940573770491803 - n: 600 - w0: 0.5 - full: - cross_section: strip_no_pins - dw: 0.1 - l1: 0.07940573770491803 - l2: 0.07940573770491803 - n: 600 - w0: 0.5 - function_name: dbr - info: {} - info_version: 2 - module: ubcpdk.components - name: dbr - default: - component: - function: dbr - coupler: coupler - gap: 0.2 - length: 0.1 - full: - component: - name: dbr - settings: - changed: {} - child: null - default: - cross_section: strip_no_pins - dw: 0.1 - l1: 0.07940573770491803 - l2: 0.07940573770491803 - n: 600 - w0: 0.5 - full: - cross_section: strip_no_pins - dw: 0.1 - l1: 0.07940573770491803 - l2: 0.07940573770491803 - n: 600 - w0: 0.5 - function_name: dbr - info: {} - info_version: 2 - module: ubcpdk.components - name: dbr - coupler: - function: coupler - gap: 0.2 - length: 0.1 - function_name: cavity - info: {} - info_version: 2 - module: gdsfactory.components.cavity - name: dbr_cavity_11e4c29a + component: + component: dbr + settings: {} + coupler: + function: coupler gc_port_name: opt1 grating_coupler: function: ebeam_gc_te1550 @@ -204,4 +36,4 @@ settings: wavelength: 1.55 info_version: 2 module: ubcpdk.components - name: add_fiber_array_eab0e416 + name: add_fiber_array_b89d850a diff --git a/ubcpdk/tests/test_components/test_pdk_settings_ring_single_.yml b/ubcpdk/tests/test_components/test_pdk_settings_ring_single_.yml index 25e22f4e..1a09ebe6 100644 --- a/ubcpdk/tests/test_components/test_pdk_settings_ring_single_.yml +++ b/ubcpdk/tests/test_components/test_pdk_settings_ring_single_.yml @@ -1,19 +1,19 @@ -name: ring_single_9ab3dce2 +name: ring_single settings: - changed: + changed: {} + child: null + default: bend: function: bend_euler coupler_ring: function: coupler_ring - child: null - default: - bend: bend_euler - coupler_ring: coupler_ring cross_section: strip gap: 0.2 length_x: 4.0 length_y: 0.6 radius: 10.0 + straight: + function: straight full: bend: function: bend_euler @@ -24,8 +24,10 @@ settings: length_x: 4.0 length_y: 0.6 radius: 10.0 + straight: + function: straight function_name: ring_single info: {} info_version: 2 module: gdsfactory.components.ring_single - name: ring_single_9ab3dce2 + name: ring_single diff --git a/ubcpdk/tests/test_components/test_pdk_settings_ring_with_crossing_.yml b/ubcpdk/tests/test_components/test_pdk_settings_ring_with_crossing_.yml index 0cbc7277..da810635 100644 --- a/ubcpdk/tests/test_components/test_pdk_settings_ring_with_crossing_.yml +++ b/ubcpdk/tests/test_components/test_pdk_settings_ring_with_crossing_.yml @@ -57,12 +57,14 @@ settings: module: ubcpdk.components name: ebeam_crossing4 default: - bend: bend_euler + bend: + function: bend_euler component: function: taper settings: width2: 3 - coupler: coupler_ring + coupler: + function: coupler_ring gap: 0.2 length_x: 4 length_y: 0 @@ -78,7 +80,8 @@ settings: cross_section: strip component: function: ebeam_crossing4 - coupler: coupler_ring + coupler: + function: coupler_ring cross_section: function: cross_section settings: From 8636437f0975d8dcec42bc94fc770df8e33f1cae Mon Sep 17 00:00:00 2001 From: Joaquin Matres <4514346+joamatab@users.noreply.github.com> Date: Sun, 13 Nov 2022 10:45:55 -0800 Subject: [PATCH 2/6] install tidy3d --- docs/notebooks/Makefile | 2 +- requirements.txt | 2 +- 2 files changed, 2 insertions(+), 2 deletions(-) diff --git a/docs/notebooks/Makefile b/docs/notebooks/Makefile index 6512ac29..b06f3a09 100644 --- a/docs/notebooks/Makefile +++ b/docs/notebooks/Makefile @@ -5,4 +5,4 @@ sync: jupytext --sync *.ipynb convert: - jupytext *.ipynb --to *.py + jupytext *.ipynb --to *.py diff --git a/requirements.txt b/requirements.txt index 916608ea..6e4f9fdd 100644 --- a/requirements.txt +++ b/requirements.txt @@ -1,4 +1,4 @@ lygadgets flayout -gdsfactory[full]==6.0.1 +gdsfactory[full,tidy3d]==6.0.1 modes==1.0.6 From 9c95546f592a9c91a8639b9a076d8f184a76bb6f Mon Sep 17 00:00:00 2001 From: Joaquin Matres <4514346+joamatab@users.noreply.github.com> Date: Sun, 13 Nov 2022 11:39:20 -0800 Subject: [PATCH 3/6] add sparameters --- docs/notebooks/11_sparameters.ipynb | 348 ++++++++++++++++++++-- sparameters/straight_length3_18b541d4.npz | Bin 0 -> 4654 bytes sparameters/straight_length3_18b541d4.yml | 76 +++++ 3 files changed, 401 insertions(+), 23 deletions(-) create mode 100644 sparameters/straight_length3_18b541d4.npz create mode 100644 sparameters/straight_length3_18b541d4.yml diff --git a/docs/notebooks/11_sparameters.ipynb b/docs/notebooks/11_sparameters.ipynb index 49d82859..50281af2 100644 --- a/docs/notebooks/11_sparameters.ipynb +++ b/docs/notebooks/11_sparameters.ipynb @@ -13,11 +13,47 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 1, "metadata": { "lines_to_next_cell": 2 }, - "outputs": [], + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2022-11-13 11:37:36.507 | INFO | gdsfactory.config::45 - Load '/usr/local/google/home/jmatres/mambaforge/lib/python3.9/site-packages/gdsfactory' 6.0.1\n", + "/usr/local/google/home/jmatres/mambaforge/lib/python3.9/site-packages/scipy/__init__.py:146: UserWarning: A NumPy version >=1.16.5 and <1.23.0 is required for this version of SciPy (detected version 1.23.4\n", + " warnings.warn(f\"A NumPy version >={np_minversion} and <{np_maxversion}\"\n", + "2022-11-13 11:37:38.428 | INFO | ubcpdk::36 - Found UBCpdk '1.8.0' installed at PosixPath('/usr/local/google/home/jmatres/ubc/ubcpdk')\n" + ] + }, + { + "data": { + "image/png": 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\n", 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