"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"flux_wg_bb = sim_data_bb[\"flux\"].flux\n",
"\n",
"# Forward and backward power amplitude coefficients\n",
"mode_amps_bb = sim_data_bb[\"mode\"]\n",
"coeffs_f_bb = mode_amps_bb.amps.sel(direction=\"+\")\n",
"coeffs_b_bb = mode_amps_bb.amps.sel(direction=\"-\")\n",
"\n",
"fig, ax = plt.subplots(1, figsize=(6, 4))\n",
"\n",
"ax.plot(lambdas, flux_wg)\n",
"ax.plot(lambdas, flux_wg_bb)\n",
"\n",
"ax.plot(lambdas, np.abs(coeffs_f.sel(mode_index=0)) ** 2, \"x--\")\n",
"ax.plot(lambdas, np.abs(coeffs_f_bb.sel(mode_index=0)) ** 2, \".--\")\n",
"\n",
"ax.set_xlim([lambdas[-1], lambdas[0]])\n",
"ax.set_xlabel(\"Wavelength (um)\")\n",
"ax.set_ylabel(\"Power (W)\")\n",
"ax.set_title(\"Power in mode monitor\")\n",
"ax.axvspan(\n",
" td.C_0 / (freq0 + 1.5 * fwidth),\n",
" td.C_0 / (freq0 - 1.5 * fwidth),\n",
" facecolor=\"k\",\n",
" alpha=0.1,\n",
")\n",
"\n",
"ax.legend(\n",
" [\n",
" \"Total (single freq)\",\n",
" \"Total (broadband)\",\n",
" \"Mode 0 (single freq)\",\n",
" \"Mode 0 (broadband)\",\n",
" \"+/- 1.5 * fwidth\",\n",
" ]\n",
")\n",
"\n",
"plt.show()\n"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Let us re-run the waveguide junction example now and compare to previous results."
]
},
{
"cell_type": "code",
"execution_count": 23,
"metadata": {
"execution": {
"iopub.execute_input": "2023-02-03T04:16:02.323790Z",
"iopub.status.busy": "2023-02-03T04:16:02.323616Z",
"iopub.status.idle": "2023-02-03T04:16:39.665811Z",
"shell.execute_reply": "2023-02-03T04:16:39.665305Z"
},
"tags": []
},
"outputs": [
{
"data": {
"text/html": [
" INFO Created task 'mode_tutorial' with task_id 'b628fcdc-192e-4caa-899a-d959f13e2419' . webapi.py : 120 \n",
" \n"
],
"text/plain": [
"\u001b[2;36m \u001b[0m\u001b[2;36m \u001b[0m\u001b[34mINFO \u001b[0m Created task \u001b[32m'mode_tutorial'\u001b[0m with task_id \u001b[32m'b628fcdc-192e-4caa-899a-d959f13e2419'\u001b[0m. \u001b]8;id=329739;file:///Users/twhughes/Documents/Flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py\u001b\\\u001b[2mwebapi.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=365599;file:///Users/twhughes/Documents/Flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#120\u001b\\\u001b[2m120\u001b[0m\u001b]8;;\u001b\\\n"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"text/html": [
" \n"
],
"text/plain": [
"\u001b[?25l"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"application/vnd.jupyter.widget-view+json": {
"model_id": "66b80227407b41239c2c02bc36f2513e",
"version_major": 2,
"version_minor": 0
},
"text/plain": [
"Output()"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"text/html": [
"\n",
" \n"
],
"text/plain": [
"\n",
"\u001b[?25h"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"text/html": [
"[22:16:04] INFO status = queued webapi.py : 262 \n",
" \n"
],
"text/plain": [
"\u001b[2;36m[22:16:04]\u001b[0m\u001b[2;36m \u001b[0m\u001b[34mINFO \u001b[0m status = queued \u001b]8;id=869890;file:///Users/twhughes/Documents/Flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py\u001b\\\u001b[2mwebapi.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=433161;file:///Users/twhughes/Documents/Flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#262\u001b\\\u001b[2m262\u001b[0m\u001b]8;;\u001b\\\n"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"text/html": [
" \n"
],
"text/plain": [
"\u001b[?25l"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"application/vnd.jupyter.widget-view+json": {
"model_id": "50180f3952b9456a89d6ea8c116d0d9f",
"version_major": 2,
"version_minor": 0
},
"text/plain": [
"Output()"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"text/html": [
"[22:16:12] INFO Maximum FlexUnit cost: 0.025 webapi.py : 253 \n",
" \n"
],
"text/plain": [
"\u001b[2;36m[22:16:12]\u001b[0m\u001b[2;36m \u001b[0m\u001b[34mINFO \u001b[0m Maximum FlexUnit cost: \u001b[1;36m0.025\u001b[0m \u001b]8;id=444429;file:///Users/twhughes/Documents/Flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py\u001b\\\u001b[2mwebapi.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=89624;file:///Users/twhughes/Documents/Flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#253\u001b\\\u001b[2m253\u001b[0m\u001b]8;;\u001b\\\n"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"text/html": [
"[22:16:15] INFO status = preprocess webapi.py : 274 \n",
" \n"
],
"text/plain": [
"\u001b[2;36m[22:16:15]\u001b[0m\u001b[2;36m \u001b[0m\u001b[34mINFO \u001b[0m status = preprocess \u001b]8;id=160638;file:///Users/twhughes/Documents/Flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py\u001b\\\u001b[2mwebapi.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=283751;file:///Users/twhughes/Documents/Flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#274\u001b\\\u001b[2m274\u001b[0m\u001b]8;;\u001b\\\n"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"text/html": [
"\n",
" \n"
],
"text/plain": [
"\n",
"\u001b[?25h\r",
"\u001b[1A\u001b[2K"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"text/html": [
"[22:16:22] INFO starting up solver webapi.py : 278 \n",
" \n"
],
"text/plain": [
"\u001b[2;36m[22:16:22]\u001b[0m\u001b[2;36m \u001b[0m\u001b[34mINFO \u001b[0m starting up solver \u001b]8;id=407150;file:///Users/twhughes/Documents/Flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py\u001b\\\u001b[2mwebapi.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=250935;file:///Users/twhughes/Documents/Flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#278\u001b\\\u001b[2m278\u001b[0m\u001b]8;;\u001b\\\n"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"text/html": [
"[22:16:31] INFO running solver webapi.py : 284 \n",
" \n"
],
"text/plain": [
"\u001b[2;36m[22:16:31]\u001b[0m\u001b[2;36m \u001b[0m\u001b[34mINFO \u001b[0m running solver \u001b]8;id=918333;file:///Users/twhughes/Documents/Flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py\u001b\\\u001b[2mwebapi.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=415187;file:///Users/twhughes/Documents/Flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#284\u001b\\\u001b[2m284\u001b[0m\u001b]8;;\u001b\\\n"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"text/html": [
" \n"
],
"text/plain": [
"\u001b[?25l"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"application/vnd.jupyter.widget-view+json": {
"model_id": "f7e039b42cc24f52ae736a405178943e",
"version_major": 2,
"version_minor": 0
},
"text/plain": [
"Output()"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"text/html": [
"[22:16:35] INFO early shutoff detected, exiting. webapi.py : 295 \n",
" \n"
],
"text/plain": [
"\u001b[2;36m[22:16:35]\u001b[0m\u001b[2;36m \u001b[0m\u001b[34mINFO \u001b[0m early shutoff detected, exiting. \u001b]8;id=363879;file:///Users/twhughes/Documents/Flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py\u001b\\\u001b[2mwebapi.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=30360;file:///Users/twhughes/Documents/Flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#295\u001b\\\u001b[2m295\u001b[0m\u001b]8;;\u001b\\\n"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"text/html": [
"\n",
" \n"
],
"text/plain": [
"\n",
"\u001b[?25h"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"text/html": [
" INFO status = postprocess webapi.py : 301 \n",
" \n"
],
"text/plain": [
"\u001b[2;36m \u001b[0m\u001b[2;36m \u001b[0m\u001b[34mINFO \u001b[0m status = postprocess \u001b]8;id=957084;file:///Users/twhughes/Documents/Flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py\u001b\\\u001b[2mwebapi.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=459633;file:///Users/twhughes/Documents/Flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#301\u001b\\\u001b[2m301\u001b[0m\u001b]8;;\u001b\\\n"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"text/html": [
" \n"
],
"text/plain": [
"\u001b[?25l"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"application/vnd.jupyter.widget-view+json": {
"model_id": "f86a49c5292346339a38060778623228",
"version_major": 2,
"version_minor": 0
},
"text/plain": [
"Output()"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"text/html": [
"[22:16:37] INFO status = success webapi.py : 307 \n",
" \n"
],
"text/plain": [
"\u001b[2;36m[22:16:37]\u001b[0m\u001b[2;36m \u001b[0m\u001b[34mINFO \u001b[0m status = success \u001b]8;id=618657;file:///Users/twhughes/Documents/Flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py\u001b\\\u001b[2mwebapi.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=732996;file:///Users/twhughes/Documents/Flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#307\u001b\\\u001b[2m307\u001b[0m\u001b]8;;\u001b\\\n"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"text/html": [
"\n",
" \n"
],
"text/plain": [
"\n",
"\u001b[?25h\r",
"\u001b[1A\u001b[2K"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"text/html": [
" INFO Billed FlexUnit cost: 0.025 webapi.py : 311 \n",
" \n"
],
"text/plain": [
"\u001b[2;36m \u001b[0m\u001b[2;36m \u001b[0m\u001b[34mINFO \u001b[0m Billed FlexUnit cost: \u001b[1;36m0.025\u001b[0m \u001b]8;id=922850;file:///Users/twhughes/Documents/Flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py\u001b\\\u001b[2mwebapi.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=156265;file:///Users/twhughes/Documents/Flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#311\u001b\\\u001b[2m311\u001b[0m\u001b]8;;\u001b\\\n"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"text/html": [
" INFO downloading file \"output/monitor_data.hdf5\" to \"data/mode_converter_bb.hdf5\" webapi.py : 593 \n",
" \n"
],
"text/plain": [
"\u001b[2;36m \u001b[0m\u001b[2;36m \u001b[0m\u001b[34mINFO \u001b[0m downloading file \u001b[32m\"output/monitor_data.hdf5\"\u001b[0m to \u001b[32m\"data/mode_converter_bb.hdf5\"\u001b[0m \u001b]8;id=847366;file:///Users/twhughes/Documents/Flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py\u001b\\\u001b[2mwebapi.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=375446;file:///Users/twhughes/Documents/Flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#593\u001b\\\u001b[2m593\u001b[0m\u001b]8;;\u001b\\\n"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"text/html": [
" \n"
],
"text/plain": [
"\u001b[?25l"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"application/vnd.jupyter.widget-view+json": {
"model_id": "57e6cc0bf33749c4b0ea81edcaf650b0",
"version_major": 2,
"version_minor": 0
},
"text/plain": [
"Output()"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"text/html": [
"\n",
" \n"
],
"text/plain": [
"\n",
"\u001b[?25h"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"text/html": [
"[22:16:39] INFO loading SimulationData from data/mode_converter_bb.hdf5 webapi.py : 415 \n",
" \n"
],
"text/plain": [
"\u001b[2;36m[22:16:39]\u001b[0m\u001b[2;36m \u001b[0m\u001b[34mINFO \u001b[0m loading SimulationData from data/mode_converter_bb.hdf5 \u001b]8;id=271350;file:///Users/twhughes/Documents/Flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py\u001b\\\u001b[2mwebapi.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=996254;file:///Users/twhughes/Documents/Flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#415\u001b\\\u001b[2m415\u001b[0m\u001b]8;;\u001b\\\n"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"job = web.Job(simulation=sim_jct_bb, task_name=\"mode_tutorial\")\n",
"sim_data_jct_bb = job.run(path=\"data/mode_converter_bb.hdf5\")\n"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Here we plot the comparison for mode mixing results between three options: (1) the simulation containing a mode source that uses only one frequency point, (2) the same as first one, but normalized by flux derived from straight waveguide simulation, and (3) the simulation containing a broadband mode source that uses mutliple frequency points. As one can see, using the broadband source feature allows to obtain results of the same accuracy without running an additional normalization simulation."
]
},
{
"cell_type": "code",
"execution_count": 24,
"metadata": {
"execution": {
"iopub.execute_input": "2023-02-03T04:16:40.305776Z",
"iopub.status.busy": "2023-02-03T04:16:40.305667Z",
"iopub.status.idle": "2023-02-03T04:16:40.739767Z",
"shell.execute_reply": "2023-02-03T04:16:40.739376Z"
}
},
"outputs": [
{
"data": {
"image/png": "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\n",
"text/plain": [
""
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"# Forward and backward power amplitude coefficients using broadband source\n",
"mode_amps_jct_bb = sim_data_jct_bb[\"mode\"]\n",
"coeffs_f_jct_bb = mode_amps_jct_bb.amps.sel(direction=\"+\")\n",
"coeffs_b_jct_bb = mode_amps_jct_bb.amps.sel(direction=\"-\")\n",
"\n",
"# Forward and backward power amplitude coefficients using single frequency source and without normalization\n",
"coeffs_f_jct_nonorm = mode_amps_jct.amps.sel(direction=\"+\")\n",
"coeffs_b_jct_nonorm = mode_amps_jct.amps.sel(direction=\"-\")\n",
"\n",
"fig, ax = plt.subplots(1, 3, figsize=(18, 4))\n",
"for mode_index in range(3):\n",
" ax[mode_index].plot(\n",
" lambdas, np.abs(coeffs_f_jct_nonorm.sel(mode_index=mode_index)) ** 2, \"x:\"\n",
" )\n",
" ax[mode_index].plot(\n",
" lambdas, np.abs(coeffs_f_jct.sel(mode_index=mode_index)) ** 2, \".--\"\n",
" )\n",
" ax[mode_index].plot(\n",
" lambdas, np.abs(coeffs_f_jct_bb.sel(mode_index=mode_index)) ** 2\n",
" )\n",
" ax[mode_index].set_xlabel(\"Wavelength (um)\")\n",
" ax[mode_index].set_xlim([lambdas[-1], lambdas[0]])\n",
" ax[mode_index].set_ylabel(\"Power in mode (W)\")\n",
" ax[mode_index].set_title(f\"Mode {mode_index}, direction='+'\")\n",
" ax[mode_index].axvspan(\n",
" td.C_0 / (freq0 + 1.5 * fwidth),\n",
" td.C_0 / (freq0 - 1.5 * fwidth),\n",
" facecolor=\"k\",\n",
" alpha=0.1,\n",
" )\n",
" ax[mode_index].legend(\n",
" [\"Single freq\", \"Single freq + norm\", \"Broadband\", \"+/- 1.5 * fwidth\"]\n",
" )\n",
"plt.show()\n"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3 (ipykernel)",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.10.9"
},
"widgets": {
"application/vnd.jupyter.widget-state+json": {
"state": {
"154fc7aa6cf546479145ba2d65f7de5d": {
"model_module": "@jupyter-widgets/output",
"model_module_version": "1.0.0",
"model_name": "OutputModel",
"state": {
"_dom_classes": [],
"_model_module": "@jupyter-widgets/output",
"_model_module_version": "1.0.0",
"_model_name": "OutputModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/output",
"_view_module_version": "1.0.0",
"_view_name": "OutputView",
"layout": "IPY_MODEL_55b3a37b32d5407c962461e5c4eae3b7",
"msg_id": "",
"outputs": [
{
"data": {
"text/html": "🏃 Starting 'mode_tutorial'... \n🏃 Starting 'mode_tutorial'... \n",
"text/plain": "\r\u001b[2K\u001b[32m🏃 \u001b[0m \u001b[1;32mStarting 'mode_tutorial'...\u001b[0m\n\u001b[32m🏃 \u001b[0m \u001b[1;32mStarting 'mode_tutorial'...\u001b[0m"
},
"metadata": {},
"output_type": "display_data"
}
],
"tabbable": null,
"tooltip": null
}
},
"169722b86d9a4d1190ad2a826572661f": {
"model_module": "@jupyter-widgets/base",
"model_module_version": "2.0.0",
"model_name": "LayoutModel",
"state": {
"_model_module": "@jupyter-widgets/base",
"_model_module_version": "2.0.0",
"_model_name": "LayoutModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "2.0.0",
"_view_name": "LayoutView",
"align_content": null,
"align_items": null,
"align_self": null,
"border_bottom": null,
"border_left": null,
"border_right": null,
"border_top": null,
"bottom": null,
"display": null,
"flex": null,
"flex_flow": null,
"grid_area": null,
"grid_auto_columns": null,
"grid_auto_flow": null,
"grid_auto_rows": null,
"grid_column": null,
"grid_gap": null,
"grid_row": null,
"grid_template_areas": null,
"grid_template_columns": null,
"grid_template_rows": null,
"height": null,
"justify_content": null,
"justify_items": null,
"left": null,
"margin": null,
"max_height": null,
"max_width": null,
"min_height": null,
"min_width": null,
"object_fit": null,
"object_position": null,
"order": null,
"overflow": null,
"padding": null,
"right": null,
"top": null,
"visibility": null,
"width": null
}
},
"1f45a41142034cf89c8d80f3c0653f42": {
"model_module": "@jupyter-widgets/base",
"model_module_version": "2.0.0",
"model_name": "LayoutModel",
"state": {
"_model_module": "@jupyter-widgets/base",
"_model_module_version": "2.0.0",
"_model_name": "LayoutModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "2.0.0",
"_view_name": "LayoutView",
"align_content": null,
"align_items": null,
"align_self": null,
"border_bottom": null,
"border_left": null,
"border_right": null,
"border_top": null,
"bottom": null,
"display": null,
"flex": null,
"flex_flow": null,
"grid_area": null,
"grid_auto_columns": null,
"grid_auto_flow": null,
"grid_auto_rows": null,
"grid_column": null,
"grid_gap": null,
"grid_row": null,
"grid_template_areas": null,
"grid_template_columns": null,
"grid_template_rows": null,
"height": null,
"justify_content": null,
"justify_items": null,
"left": null,
"margin": null,
"max_height": null,
"max_width": null,
"min_height": null,
"min_width": null,
"object_fit": null,
"object_position": null,
"order": null,
"overflow": null,
"padding": null,
"right": null,
"top": null,
"visibility": null,
"width": null
}
},
"2f2201508009479889ee672fde30f68f": {
"model_module": "@jupyter-widgets/output",
"model_module_version": "1.0.0",
"model_name": "OutputModel",
"state": {
"_dom_classes": [],
"_model_module": "@jupyter-widgets/output",
"_model_module_version": "1.0.0",
"_model_name": "OutputModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/output",
"_view_module_version": "1.0.0",
"_view_name": "OutputView",
"layout": "IPY_MODEL_b507c6700548452e9aabf876410fefb4",
"msg_id": "",
"outputs": [
{
"data": {
"text/html": "↑ simulation.json ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 0.0% • 0.0/5.2 kB • ? • -:--:-- \n↑ simulation.json ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 0.0% • 0.0/5.2 kB • ? • -:--:-- \n",
"text/plain": "\r\u001b[2K\u001b[1;31m↑\u001b[0m \u001b[1;34msimulation.json\u001b[0m \u001b[38;5;237m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[35m0.0%\u001b[0m • \u001b[32m0.0/5.2 kB\u001b[0m • \u001b[31m?\u001b[0m • \u001b[36m-:--:--\u001b[0m\n\u001b[1;31m↑\u001b[0m \u001b[1;34msimulation.json\u001b[0m \u001b[38;5;237m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[35m0.0%\u001b[0m • \u001b[32m0.0/5.2 kB\u001b[0m • \u001b[31m?\u001b[0m • \u001b[36m-:--:--\u001b[0m"
},
"metadata": {},
"output_type": "display_data"
}
],
"tabbable": null,
"tooltip": null
}
},
"32d18803876c42c4875d75745b9c70ad": {
"model_module": "@jupyter-widgets/output",
"model_module_version": "1.0.0",
"model_name": "OutputModel",
"state": {
"_dom_classes": [],
"_model_module": "@jupyter-widgets/output",
"_model_module_version": "1.0.0",
"_model_name": "OutputModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/output",
"_view_module_version": "1.0.0",
"_view_name": "OutputView",
"layout": "IPY_MODEL_4e24b8e2fa73491ea90141dabdb1b305",
"msg_id": "",
"outputs": [
{
"data": {
"text/html": "↑ simulation.json ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 0.0% • 0.0/5.2 kB • ? • -:--:-- \n↑ simulation.json ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 0.0% • 0.0/5.2 kB • ? • -:--:-- \n",
"text/plain": "\r\u001b[2K\u001b[1;31m↑\u001b[0m \u001b[1;34msimulation.json\u001b[0m \u001b[38;5;237m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[35m0.0%\u001b[0m • \u001b[32m0.0/5.2 kB\u001b[0m • \u001b[31m?\u001b[0m • \u001b[36m-:--:--\u001b[0m\n\u001b[1;31m↑\u001b[0m \u001b[1;34msimulation.json\u001b[0m \u001b[38;5;237m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[35m0.0%\u001b[0m • \u001b[32m0.0/5.2 kB\u001b[0m • \u001b[31m?\u001b[0m • \u001b[36m-:--:--\u001b[0m"
},
"metadata": {},
"output_type": "display_data"
}
],
"tabbable": null,
"tooltip": null
}
},
"46929afbd99149afaee90cd070380bb7": {
"model_module": "@jupyter-widgets/output",
"model_module_version": "1.0.0",
"model_name": "OutputModel",
"state": {
"_dom_classes": [],
"_model_module": "@jupyter-widgets/output",
"_model_module_version": "1.0.0",
"_model_name": "OutputModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/output",
"_view_module_version": "1.0.0",
"_view_name": "OutputView",
"layout": "IPY_MODEL_d69ecd1ab3304bd9878d30b1db786f9e",
"msg_id": "",
"outputs": [
{
"data": {
"text/html": "↑ simulation.json ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 0.0% • 0.0/5.4 kB • ? • -:--:-- \n↑ simulation.json ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 0.0% • 0.0/5.4 kB • ? • -:--:-- \n",
"text/plain": "\r\u001b[2K\u001b[1;31m↑\u001b[0m \u001b[1;34msimulation.json\u001b[0m \u001b[38;5;237m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[35m0.0%\u001b[0m • \u001b[32m0.0/5.4 kB\u001b[0m • \u001b[31m?\u001b[0m • \u001b[36m-:--:--\u001b[0m\n\u001b[1;31m↑\u001b[0m \u001b[1;34msimulation.json\u001b[0m \u001b[38;5;237m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[35m0.0%\u001b[0m • \u001b[32m0.0/5.4 kB\u001b[0m • \u001b[31m?\u001b[0m • \u001b[36m-:--:--\u001b[0m"
},
"metadata": {},
"output_type": "display_data"
}
],
"tabbable": null,
"tooltip": null
}
},
"4b46a54ceca24c3e9647fdc46905b2c5": {
"model_module": "@jupyter-widgets/output",
"model_module_version": "1.0.0",
"model_name": "OutputModel",
"state": {
"_dom_classes": [],
"_model_module": "@jupyter-widgets/output",
"_model_module_version": "1.0.0",
"_model_name": "OutputModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/output",
"_view_module_version": "1.0.0",
"_view_name": "OutputView",
"layout": "IPY_MODEL_8c665771b80e43ebadbd7ff392e33724",
"msg_id": "",
"outputs": [
{
"data": {
"text/html": "% done (field decay = 5.26e-07) ━━━━━━━━ ╺━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 20% 0:00:17 \n% done (field decay = 5.26e-07) ━━━━━━━━ ╺━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 20% 0:00:17 \n",
"text/plain": "\r\u001b[2K% done (field decay = 5.26e-07) \u001b[38;2;249;38;114m━━━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[35m 20%\u001b[0m \u001b[36m0:00:17\u001b[0m\n% done (field decay = 5.26e-07) \u001b[38;2;249;38;114m━━━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[35m 20%\u001b[0m \u001b[36m0:00:17\u001b[0m"
},
"metadata": {},
"output_type": "display_data"
}
],
"tabbable": null,
"tooltip": null
}
},
"4e24b8e2fa73491ea90141dabdb1b305": {
"model_module": "@jupyter-widgets/base",
"model_module_version": "2.0.0",
"model_name": "LayoutModel",
"state": {
"_model_module": "@jupyter-widgets/base",
"_model_module_version": "2.0.0",
"_model_name": "LayoutModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "2.0.0",
"_view_name": "LayoutView",
"align_content": null,
"align_items": null,
"align_self": null,
"border_bottom": null,
"border_left": null,
"border_right": null,
"border_top": null,
"bottom": null,
"display": null,
"flex": null,
"flex_flow": null,
"grid_area": null,
"grid_auto_columns": null,
"grid_auto_flow": null,
"grid_auto_rows": null,
"grid_column": null,
"grid_gap": null,
"grid_row": null,
"grid_template_areas": null,
"grid_template_columns": null,
"grid_template_rows": null,
"height": null,
"justify_content": null,
"justify_items": null,
"left": null,
"margin": null,
"max_height": null,
"max_width": null,
"min_height": null,
"min_width": null,
"object_fit": null,
"object_position": null,
"order": null,
"overflow": null,
"padding": null,
"right": null,
"top": null,
"visibility": null,
"width": null
}
},
"50180f3952b9456a89d6ea8c116d0d9f": {
"model_module": "@jupyter-widgets/output",
"model_module_version": "1.0.0",
"model_name": "OutputModel",
"state": {
"_dom_classes": [],
"_model_module": "@jupyter-widgets/output",
"_model_module_version": "1.0.0",
"_model_name": "OutputModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/output",
"_view_module_version": "1.0.0",
"_view_name": "OutputView",
"layout": "IPY_MODEL_ea2aa565c15d40db985b7a1c6b6a98e3",
"msg_id": "",
"outputs": [
{
"data": {
"text/html": "🏃 Starting 'mode_tutorial'... \n🏃 Starting 'mode_tutorial'... \n",
"text/plain": "\r\u001b[2K\u001b[32m🏃 \u001b[0m \u001b[1;32mStarting 'mode_tutorial'...\u001b[0m\n\u001b[32m🏃 \u001b[0m \u001b[1;32mStarting 'mode_tutorial'...\u001b[0m"
},
"metadata": {},
"output_type": "display_data"
}
],
"tabbable": null,
"tooltip": null
}
},
"543cc00c873548f39cbc785bd7f70ca9": {
"model_module": "@jupyter-widgets/output",
"model_module_version": "1.0.0",
"model_name": "OutputModel",
"state": {
"_dom_classes": [],
"_model_module": "@jupyter-widgets/output",
"_model_module_version": "1.0.0",
"_model_name": "OutputModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/output",
"_view_module_version": "1.0.0",
"_view_name": "OutputView",
"layout": "IPY_MODEL_b61ef2fd72dd4dbea88b88b681c1074b",
"msg_id": "",
"outputs": [
{
"data": {
"text/html": "🚶 Finishing 'mode_tutorial'... \n🚶 Finishing 'mode_tutorial'... \n",
"text/plain": "\r\u001b[2K\u001b[32m🚶 \u001b[0m \u001b[1;32mFinishing 'mode_tutorial'...\u001b[0m\n\u001b[32m🚶 \u001b[0m \u001b[1;32mFinishing 'mode_tutorial'...\u001b[0m"
},
"metadata": {},
"output_type": "display_data"
}
],
"tabbable": null,
"tooltip": null
}
},
"548fe929c55c454cb8133268e340400c": {
"model_module": "@jupyter-widgets/output",
"model_module_version": "1.0.0",
"model_name": "OutputModel",
"state": {
"_dom_classes": [],
"_model_module": "@jupyter-widgets/output",
"_model_module_version": "1.0.0",
"_model_name": "OutputModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/output",
"_view_module_version": "1.0.0",
"_view_name": "OutputView",
"layout": "IPY_MODEL_9b8a1e2da9144f4c9b6c1fafbac170e0",
"msg_id": "",
"outputs": [
{
"data": {
"text/html": "↓ monitor_data.hdf5 ━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ╺━━━━━━━━━━━ 71.0% • 1.0/1.5 MB • 2.8 MB/s • 0:00:01 \n↓ monitor_data.hdf5 ━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ╺━━━━━━━━━━━ 71.0% • 1.0/1.5 MB • 2.8 MB/s • 0:00:01 \n",
"text/plain": "\r\u001b[2K\u001b[1;32m↓\u001b[0m \u001b[1;34mmonitor_data.hdf5\u001b[0m \u001b[38;2;249;38;114m━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━━━━━━━\u001b[0m \u001b[35m71.0%\u001b[0m • \u001b[32m1.0/1.5 MB\u001b[0m • \u001b[31m2.8 MB/s\u001b[0m • \u001b[36m0:00:01\u001b[0m\n\u001b[1;32m↓\u001b[0m \u001b[1;34mmonitor_data.hdf5\u001b[0m \u001b[38;2;249;38;114m━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━━━━━━━\u001b[0m \u001b[35m71.0%\u001b[0m • \u001b[32m1.0/1.5 MB\u001b[0m • \u001b[31m2.8 MB/s\u001b[0m • \u001b[36m0:00:01\u001b[0m"
},
"metadata": {},
"output_type": "display_data"
}
],
"tabbable": null,
"tooltip": null
}
},
"55b3a37b32d5407c962461e5c4eae3b7": {
"model_module": "@jupyter-widgets/base",
"model_module_version": "2.0.0",
"model_name": "LayoutModel",
"state": {
"_model_module": "@jupyter-widgets/base",
"_model_module_version": "2.0.0",
"_model_name": "LayoutModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "2.0.0",
"_view_name": "LayoutView",
"align_content": null,
"align_items": null,
"align_self": null,
"border_bottom": null,
"border_left": null,
"border_right": null,
"border_top": null,
"bottom": null,
"display": null,
"flex": null,
"flex_flow": null,
"grid_area": null,
"grid_auto_columns": null,
"grid_auto_flow": null,
"grid_auto_rows": null,
"grid_column": null,
"grid_gap": null,
"grid_row": null,
"grid_template_areas": null,
"grid_template_columns": null,
"grid_template_rows": null,
"height": null,
"justify_content": null,
"justify_items": null,
"left": null,
"margin": null,
"max_height": null,
"max_width": null,
"min_height": null,
"min_width": null,
"object_fit": null,
"object_position": null,
"order": null,
"overflow": null,
"padding": null,
"right": null,
"top": null,
"visibility": null,
"width": null
}
},
"5635324d4ad4455986329a9b6a3628c8": {
"model_module": "@jupyter-widgets/base",
"model_module_version": "2.0.0",
"model_name": "LayoutModel",
"state": {
"_model_module": "@jupyter-widgets/base",
"_model_module_version": "2.0.0",
"_model_name": "LayoutModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "2.0.0",
"_view_name": "LayoutView",
"align_content": null,
"align_items": null,
"align_self": null,
"border_bottom": null,
"border_left": null,
"border_right": null,
"border_top": null,
"bottom": null,
"display": null,
"flex": null,
"flex_flow": null,
"grid_area": null,
"grid_auto_columns": null,
"grid_auto_flow": null,
"grid_auto_rows": null,
"grid_column": null,
"grid_gap": null,
"grid_row": null,
"grid_template_areas": null,
"grid_template_columns": null,
"grid_template_rows": null,
"height": null,
"justify_content": null,
"justify_items": null,
"left": null,
"margin": null,
"max_height": null,
"max_width": null,
"min_height": null,
"min_width": null,
"object_fit": null,
"object_position": null,
"order": null,
"overflow": null,
"padding": null,
"right": null,
"top": null,
"visibility": null,
"width": null
}
},
"57e6cc0bf33749c4b0ea81edcaf650b0": {
"model_module": "@jupyter-widgets/output",
"model_module_version": "1.0.0",
"model_name": "OutputModel",
"state": {
"_dom_classes": [],
"_model_module": "@jupyter-widgets/output",
"_model_module_version": "1.0.0",
"_model_name": "OutputModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/output",
"_view_module_version": "1.0.0",
"_view_name": "OutputView",
"layout": "IPY_MODEL_ff1e6992b43e4b148e6c8da47ce742e2",
"msg_id": "",
"outputs": [
{
"data": {
"text/html": "↓ monitor_data.hdf5 ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ ━━━━━ 87.4% • 1.6/1.8 MB • 3.2 MB/s • 0:00:01 \n↓ monitor_data.hdf5 ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ ━━━━━ 87.4% • 1.6/1.8 MB • 3.2 MB/s • 0:00:01 \n",
"text/plain": "\r\u001b[2K\u001b[1;32m↓\u001b[0m \u001b[1;34mmonitor_data.hdf5\u001b[0m \u001b[38;2;249;38;114m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[38;2;249;38;114m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m \u001b[35m87.4%\u001b[0m • \u001b[32m1.6/1.8 MB\u001b[0m • \u001b[31m3.2 MB/s\u001b[0m • \u001b[36m0:00:01\u001b[0m\n\u001b[1;32m↓\u001b[0m \u001b[1;34mmonitor_data.hdf5\u001b[0m \u001b[38;2;249;38;114m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[38;2;249;38;114m╸\u001b[0m\u001b[38;5;237m━━━━━\u001b[0m \u001b[35m87.4%\u001b[0m • \u001b[32m1.6/1.8 MB\u001b[0m • \u001b[31m3.2 MB/s\u001b[0m • \u001b[36m0:00:01\u001b[0m"
},
"metadata": {},
"output_type": "display_data"
}
],
"tabbable": null,
"tooltip": null
}
},
"66b80227407b41239c2c02bc36f2513e": {
"model_module": "@jupyter-widgets/output",
"model_module_version": "1.0.0",
"model_name": "OutputModel",
"state": {
"_dom_classes": [],
"_model_module": "@jupyter-widgets/output",
"_model_module_version": "1.0.0",
"_model_name": "OutputModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/output",
"_view_module_version": "1.0.0",
"_view_name": "OutputView",
"layout": "IPY_MODEL_cd153a651c2c4338b047049557c094cb",
"msg_id": "",
"outputs": [
{
"data": {
"text/html": "↑ simulation.json ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 0.0% • 0.0/5.4 kB • ? • -:--:-- \n↑ simulation.json ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 0.0% • 0.0/5.4 kB • ? • -:--:-- \n",
"text/plain": "\r\u001b[2K\u001b[1;31m↑\u001b[0m \u001b[1;34msimulation.json\u001b[0m \u001b[38;5;237m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[35m0.0%\u001b[0m • \u001b[32m0.0/5.4 kB\u001b[0m • \u001b[31m?\u001b[0m • \u001b[36m-:--:--\u001b[0m\n\u001b[1;31m↑\u001b[0m \u001b[1;34msimulation.json\u001b[0m \u001b[38;5;237m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[35m0.0%\u001b[0m • \u001b[32m0.0/5.4 kB\u001b[0m • \u001b[31m?\u001b[0m • \u001b[36m-:--:--\u001b[0m"
},
"metadata": {},
"output_type": "display_data"
}
],
"tabbable": null,
"tooltip": null
}
},
"69d2c682d5be408db6696a2a2086682f": {
"model_module": "@jupyter-widgets/output",
"model_module_version": "1.0.0",
"model_name": "OutputModel",
"state": {
"_dom_classes": [],
"_model_module": "@jupyter-widgets/output",
"_model_module_version": "1.0.0",
"_model_name": "OutputModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/output",
"_view_module_version": "1.0.0",
"_view_name": "OutputView",
"layout": "IPY_MODEL_addda9ddd3894cfeb9ce5ca51cb1a118",
"msg_id": "",
"outputs": [
{
"data": {
"text/html": "🚶 Finishing 'mode_tutorial'... \n🚶 Finishing 'mode_tutorial'... \n",
"text/plain": "\r\u001b[2K\u001b[32m🚶 \u001b[0m \u001b[1;32mFinishing 'mode_tutorial'...\u001b[0m\n\u001b[32m🚶 \u001b[0m \u001b[1;32mFinishing 'mode_tutorial'...\u001b[0m"
},
"metadata": {},
"output_type": "display_data"
}
],
"tabbable": null,
"tooltip": null
}
},
"77b8b094a772487d8d1da6d24e6e8376": {
"model_module": "@jupyter-widgets/base",
"model_module_version": "2.0.0",
"model_name": "LayoutModel",
"state": {
"_model_module": "@jupyter-widgets/base",
"_model_module_version": "2.0.0",
"_model_name": "LayoutModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "2.0.0",
"_view_name": "LayoutView",
"align_content": null,
"align_items": null,
"align_self": null,
"border_bottom": null,
"border_left": null,
"border_right": null,
"border_top": null,
"bottom": null,
"display": null,
"flex": null,
"flex_flow": null,
"grid_area": null,
"grid_auto_columns": null,
"grid_auto_flow": null,
"grid_auto_rows": null,
"grid_column": null,
"grid_gap": null,
"grid_row": null,
"grid_template_areas": null,
"grid_template_columns": null,
"grid_template_rows": null,
"height": null,
"justify_content": null,
"justify_items": null,
"left": null,
"margin": null,
"max_height": null,
"max_width": null,
"min_height": null,
"min_width": null,
"object_fit": null,
"object_position": null,
"order": null,
"overflow": null,
"padding": null,
"right": null,
"top": null,
"visibility": null,
"width": null
}
},
"7877ae59f02f4ab6b0a0f099f28b4f30": {
"model_module": "@jupyter-widgets/output",
"model_module_version": "1.0.0",
"model_name": "OutputModel",
"state": {
"_dom_classes": [],
"_model_module": "@jupyter-widgets/output",
"_model_module_version": "1.0.0",
"_model_name": "OutputModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/output",
"_view_module_version": "1.0.0",
"_view_name": "OutputView",
"layout": "IPY_MODEL_5635324d4ad4455986329a9b6a3628c8",
"msg_id": "",
"outputs": [
{
"data": {
"text/html": "↓ monitor_data.hdf5 ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ╺━━━━━━━━━━ 72.8% • 1.3/1.8 MB • 2.8 MB/s • 0:00:01 \n↓ monitor_data.hdf5 ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ╺━━━━━━━━━━ 72.8% • 1.3/1.8 MB • 2.8 MB/s • 0:00:01 \n",
"text/plain": "\r\u001b[2K\u001b[1;32m↓\u001b[0m \u001b[1;34mmonitor_data.hdf5\u001b[0m \u001b[38;2;249;38;114m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━━━━━━\u001b[0m \u001b[35m72.8%\u001b[0m • \u001b[32m1.3/1.8 MB\u001b[0m • \u001b[31m2.8 MB/s\u001b[0m • \u001b[36m0:00:01\u001b[0m\n\u001b[1;32m↓\u001b[0m \u001b[1;34mmonitor_data.hdf5\u001b[0m \u001b[38;2;249;38;114m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━━━━━━\u001b[0m \u001b[35m72.8%\u001b[0m • \u001b[32m1.3/1.8 MB\u001b[0m • \u001b[31m2.8 MB/s\u001b[0m • \u001b[36m0:00:01\u001b[0m"
},
"metadata": {},
"output_type": "display_data"
}
],
"tabbable": null,
"tooltip": null
}
},
"8b59de9d500848d99dc04f474ca8bf9e": {
"model_module": "@jupyter-widgets/base",
"model_module_version": "2.0.0",
"model_name": "LayoutModel",
"state": {
"_model_module": "@jupyter-widgets/base",
"_model_module_version": "2.0.0",
"_model_name": "LayoutModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "2.0.0",
"_view_name": "LayoutView",
"align_content": null,
"align_items": null,
"align_self": null,
"border_bottom": null,
"border_left": null,
"border_right": null,
"border_top": null,
"bottom": null,
"display": null,
"flex": null,
"flex_flow": null,
"grid_area": null,
"grid_auto_columns": null,
"grid_auto_flow": null,
"grid_auto_rows": null,
"grid_column": null,
"grid_gap": null,
"grid_row": null,
"grid_template_areas": null,
"grid_template_columns": null,
"grid_template_rows": null,
"height": null,
"justify_content": null,
"justify_items": null,
"left": null,
"margin": null,
"max_height": null,
"max_width": null,
"min_height": null,
"min_width": null,
"object_fit": null,
"object_position": null,
"order": null,
"overflow": null,
"padding": null,
"right": null,
"top": null,
"visibility": null,
"width": null
}
},
"8c665771b80e43ebadbd7ff392e33724": {
"model_module": "@jupyter-widgets/base",
"model_module_version": "2.0.0",
"model_name": "LayoutModel",
"state": {
"_model_module": "@jupyter-widgets/base",
"_model_module_version": "2.0.0",
"_model_name": "LayoutModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "2.0.0",
"_view_name": "LayoutView",
"align_content": null,
"align_items": null,
"align_self": null,
"border_bottom": null,
"border_left": null,
"border_right": null,
"border_top": null,
"bottom": null,
"display": null,
"flex": null,
"flex_flow": null,
"grid_area": null,
"grid_auto_columns": null,
"grid_auto_flow": null,
"grid_auto_rows": null,
"grid_column": null,
"grid_gap": null,
"grid_row": null,
"grid_template_areas": null,
"grid_template_columns": null,
"grid_template_rows": null,
"height": null,
"justify_content": null,
"justify_items": null,
"left": null,
"margin": null,
"max_height": null,
"max_width": null,
"min_height": null,
"min_width": null,
"object_fit": null,
"object_position": null,
"order": null,
"overflow": null,
"padding": null,
"right": null,
"top": null,
"visibility": null,
"width": null
}
},
"9b8a1e2da9144f4c9b6c1fafbac170e0": {
"model_module": "@jupyter-widgets/base",
"model_module_version": "2.0.0",
"model_name": "LayoutModel",
"state": {
"_model_module": "@jupyter-widgets/base",
"_model_module_version": "2.0.0",
"_model_name": "LayoutModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "2.0.0",
"_view_name": "LayoutView",
"align_content": null,
"align_items": null,
"align_self": null,
"border_bottom": null,
"border_left": null,
"border_right": null,
"border_top": null,
"bottom": null,
"display": null,
"flex": null,
"flex_flow": null,
"grid_area": null,
"grid_auto_columns": null,
"grid_auto_flow": null,
"grid_auto_rows": null,
"grid_column": null,
"grid_gap": null,
"grid_row": null,
"grid_template_areas": null,
"grid_template_columns": null,
"grid_template_rows": null,
"height": null,
"justify_content": null,
"justify_items": null,
"left": null,
"margin": null,
"max_height": null,
"max_width": null,
"min_height": null,
"min_width": null,
"object_fit": null,
"object_position": null,
"order": null,
"overflow": null,
"padding": null,
"right": null,
"top": null,
"visibility": null,
"width": null
}
},
"a0334adcdb4c4792bb45262949f91e4d": {
"model_module": "@jupyter-widgets/output",
"model_module_version": "1.0.0",
"model_name": "OutputModel",
"state": {
"_dom_classes": [],
"_model_module": "@jupyter-widgets/output",
"_model_module_version": "1.0.0",
"_model_name": "OutputModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/output",
"_view_module_version": "1.0.0",
"_view_name": "OutputView",
"layout": "IPY_MODEL_1f45a41142034cf89c8d80f3c0653f42",
"msg_id": "",
"outputs": [
{
"data": {
"text/html": "↓ monitor_data.hdf5 ━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ╺━━━━━━━━━━━ 71.0% • 1.0/1.5 MB • 2.9 MB/s • 0:00:01 \n↓ monitor_data.hdf5 ━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ╺━━━━━━━━━━━ 71.0% • 1.0/1.5 MB • 2.9 MB/s • 0:00:01 \n",
"text/plain": "\r\u001b[2K\u001b[1;32m↓\u001b[0m \u001b[1;34mmonitor_data.hdf5\u001b[0m \u001b[38;2;249;38;114m━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━━━━━━━\u001b[0m \u001b[35m71.0%\u001b[0m • \u001b[32m1.0/1.5 MB\u001b[0m • \u001b[31m2.9 MB/s\u001b[0m • \u001b[36m0:00:01\u001b[0m\n\u001b[1;32m↓\u001b[0m \u001b[1;34mmonitor_data.hdf5\u001b[0m \u001b[38;2;249;38;114m━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━━━━━━━\u001b[0m \u001b[35m71.0%\u001b[0m • \u001b[32m1.0/1.5 MB\u001b[0m • \u001b[31m2.9 MB/s\u001b[0m • \u001b[36m0:00:01\u001b[0m"
},
"metadata": {},
"output_type": "display_data"
}
],
"tabbable": null,
"tooltip": null
}
},
"a84bda1690764cacbc1d1fb3b396d7fb": {
"model_module": "@jupyter-widgets/output",
"model_module_version": "1.0.0",
"model_name": "OutputModel",
"state": {
"_dom_classes": [],
"_model_module": "@jupyter-widgets/output",
"_model_module_version": "1.0.0",
"_model_name": "OutputModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/output",
"_view_module_version": "1.0.0",
"_view_name": "OutputView",
"layout": "IPY_MODEL_bf762104f595446b9aa444d834bd43ef",
"msg_id": "",
"outputs": [
{
"data": {
"text/html": "🏃 Starting 'mode_tutorial'... \n🏃 Starting 'mode_tutorial'... \n",
"text/plain": "\r\u001b[2K\u001b[32m🏃 \u001b[0m \u001b[1;32mStarting 'mode_tutorial'...\u001b[0m\n\u001b[32m🏃 \u001b[0m \u001b[1;32mStarting 'mode_tutorial'...\u001b[0m"
},
"metadata": {},
"output_type": "display_data"
}
],
"tabbable": null,
"tooltip": null
}
},
"addda9ddd3894cfeb9ce5ca51cb1a118": {
"model_module": "@jupyter-widgets/base",
"model_module_version": "2.0.0",
"model_name": "LayoutModel",
"state": {
"_model_module": "@jupyter-widgets/base",
"_model_module_version": "2.0.0",
"_model_name": "LayoutModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "2.0.0",
"_view_name": "LayoutView",
"align_content": null,
"align_items": null,
"align_self": null,
"border_bottom": null,
"border_left": null,
"border_right": null,
"border_top": null,
"bottom": null,
"display": null,
"flex": null,
"flex_flow": null,
"grid_area": null,
"grid_auto_columns": null,
"grid_auto_flow": null,
"grid_auto_rows": null,
"grid_column": null,
"grid_gap": null,
"grid_row": null,
"grid_template_areas": null,
"grid_template_columns": null,
"grid_template_rows": null,
"height": null,
"justify_content": null,
"justify_items": null,
"left": null,
"margin": null,
"max_height": null,
"max_width": null,
"min_height": null,
"min_width": null,
"object_fit": null,
"object_position": null,
"order": null,
"overflow": null,
"padding": null,
"right": null,
"top": null,
"visibility": null,
"width": null
}
},
"b507c6700548452e9aabf876410fefb4": {
"model_module": "@jupyter-widgets/base",
"model_module_version": "2.0.0",
"model_name": "LayoutModel",
"state": {
"_model_module": "@jupyter-widgets/base",
"_model_module_version": "2.0.0",
"_model_name": "LayoutModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "2.0.0",
"_view_name": "LayoutView",
"align_content": null,
"align_items": null,
"align_self": null,
"border_bottom": null,
"border_left": null,
"border_right": null,
"border_top": null,
"bottom": null,
"display": null,
"flex": null,
"flex_flow": null,
"grid_area": null,
"grid_auto_columns": null,
"grid_auto_flow": null,
"grid_auto_rows": null,
"grid_column": null,
"grid_gap": null,
"grid_row": null,
"grid_template_areas": null,
"grid_template_columns": null,
"grid_template_rows": null,
"height": null,
"justify_content": null,
"justify_items": null,
"left": null,
"margin": null,
"max_height": null,
"max_width": null,
"min_height": null,
"min_width": null,
"object_fit": null,
"object_position": null,
"order": null,
"overflow": null,
"padding": null,
"right": null,
"top": null,
"visibility": null,
"width": null
}
},
"b61ef2fd72dd4dbea88b88b681c1074b": {
"model_module": "@jupyter-widgets/base",
"model_module_version": "2.0.0",
"model_name": "LayoutModel",
"state": {
"_model_module": "@jupyter-widgets/base",
"_model_module_version": "2.0.0",
"_model_name": "LayoutModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "2.0.0",
"_view_name": "LayoutView",
"align_content": null,
"align_items": null,
"align_self": null,
"border_bottom": null,
"border_left": null,
"border_right": null,
"border_top": null,
"bottom": null,
"display": null,
"flex": null,
"flex_flow": null,
"grid_area": null,
"grid_auto_columns": null,
"grid_auto_flow": null,
"grid_auto_rows": null,
"grid_column": null,
"grid_gap": null,
"grid_row": null,
"grid_template_areas": null,
"grid_template_columns": null,
"grid_template_rows": null,
"height": null,
"justify_content": null,
"justify_items": null,
"left": null,
"margin": null,
"max_height": null,
"max_width": null,
"min_height": null,
"min_width": null,
"object_fit": null,
"object_position": null,
"order": null,
"overflow": null,
"padding": null,
"right": null,
"top": null,
"visibility": null,
"width": null
}
},
"bf762104f595446b9aa444d834bd43ef": {
"model_module": "@jupyter-widgets/base",
"model_module_version": "2.0.0",
"model_name": "LayoutModel",
"state": {
"_model_module": "@jupyter-widgets/base",
"_model_module_version": "2.0.0",
"_model_name": "LayoutModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "2.0.0",
"_view_name": "LayoutView",
"align_content": null,
"align_items": null,
"align_self": null,
"border_bottom": null,
"border_left": null,
"border_right": null,
"border_top": null,
"bottom": null,
"display": null,
"flex": null,
"flex_flow": null,
"grid_area": null,
"grid_auto_columns": null,
"grid_auto_flow": null,
"grid_auto_rows": null,
"grid_column": null,
"grid_gap": null,
"grid_row": null,
"grid_template_areas": null,
"grid_template_columns": null,
"grid_template_rows": null,
"height": null,
"justify_content": null,
"justify_items": null,
"left": null,
"margin": null,
"max_height": null,
"max_width": null,
"min_height": null,
"min_width": null,
"object_fit": null,
"object_position": null,
"order": null,
"overflow": null,
"padding": null,
"right": null,
"top": null,
"visibility": null,
"width": null
}
},
"c67137cf0c46498c9a94471ffa3919ff": {
"model_module": "@jupyter-widgets/base",
"model_module_version": "2.0.0",
"model_name": "LayoutModel",
"state": {
"_model_module": "@jupyter-widgets/base",
"_model_module_version": "2.0.0",
"_model_name": "LayoutModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "2.0.0",
"_view_name": "LayoutView",
"align_content": null,
"align_items": null,
"align_self": null,
"border_bottom": null,
"border_left": null,
"border_right": null,
"border_top": null,
"bottom": null,
"display": null,
"flex": null,
"flex_flow": null,
"grid_area": null,
"grid_auto_columns": null,
"grid_auto_flow": null,
"grid_auto_rows": null,
"grid_column": null,
"grid_gap": null,
"grid_row": null,
"grid_template_areas": null,
"grid_template_columns": null,
"grid_template_rows": null,
"height": null,
"justify_content": null,
"justify_items": null,
"left": null,
"margin": null,
"max_height": null,
"max_width": null,
"min_height": null,
"min_width": null,
"object_fit": null,
"object_position": null,
"order": null,
"overflow": null,
"padding": null,
"right": null,
"top": null,
"visibility": null,
"width": null
}
},
"c6c5d61a67df431d8f904ba5ebeee0d0": {
"model_module": "@jupyter-widgets/output",
"model_module_version": "1.0.0",
"model_name": "OutputModel",
"state": {
"_dom_classes": [],
"_model_module": "@jupyter-widgets/output",
"_model_module_version": "1.0.0",
"_model_name": "OutputModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/output",
"_view_module_version": "1.0.0",
"_view_name": "OutputView",
"layout": "IPY_MODEL_169722b86d9a4d1190ad2a826572661f",
"msg_id": "",
"outputs": [
{
"data": {
"text/html": "% done (field decay = 5.66e-09) ━━━━━━ ╺━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 16% -:--:-- \n% done (field decay = 5.66e-09) ━━━━━━ ╺━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 16% -:--:-- \n",
"text/plain": "\r\u001b[2K% done (field decay = 5.66e-09) \u001b[38;2;249;38;114m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[35m 16%\u001b[0m \u001b[36m-:--:--\u001b[0m\n% done (field decay = 5.66e-09) \u001b[38;2;249;38;114m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[35m 16%\u001b[0m \u001b[36m-:--:--\u001b[0m"
},
"metadata": {},
"output_type": "display_data"
}
],
"tabbable": null,
"tooltip": null
}
},
"cd153a651c2c4338b047049557c094cb": {
"model_module": "@jupyter-widgets/base",
"model_module_version": "2.0.0",
"model_name": "LayoutModel",
"state": {
"_model_module": "@jupyter-widgets/base",
"_model_module_version": "2.0.0",
"_model_name": "LayoutModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "2.0.0",
"_view_name": "LayoutView",
"align_content": null,
"align_items": null,
"align_self": null,
"border_bottom": null,
"border_left": null,
"border_right": null,
"border_top": null,
"bottom": null,
"display": null,
"flex": null,
"flex_flow": null,
"grid_area": null,
"grid_auto_columns": null,
"grid_auto_flow": null,
"grid_auto_rows": null,
"grid_column": null,
"grid_gap": null,
"grid_row": null,
"grid_template_areas": null,
"grid_template_columns": null,
"grid_template_rows": null,
"height": null,
"justify_content": null,
"justify_items": null,
"left": null,
"margin": null,
"max_height": null,
"max_width": null,
"min_height": null,
"min_width": null,
"object_fit": null,
"object_position": null,
"order": null,
"overflow": null,
"padding": null,
"right": null,
"top": null,
"visibility": null,
"width": null
}
},
"d69ecd1ab3304bd9878d30b1db786f9e": {
"model_module": "@jupyter-widgets/base",
"model_module_version": "2.0.0",
"model_name": "LayoutModel",
"state": {
"_model_module": "@jupyter-widgets/base",
"_model_module_version": "2.0.0",
"_model_name": "LayoutModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "2.0.0",
"_view_name": "LayoutView",
"align_content": null,
"align_items": null,
"align_self": null,
"border_bottom": null,
"border_left": null,
"border_right": null,
"border_top": null,
"bottom": null,
"display": null,
"flex": null,
"flex_flow": null,
"grid_area": null,
"grid_auto_columns": null,
"grid_auto_flow": null,
"grid_auto_rows": null,
"grid_column": null,
"grid_gap": null,
"grid_row": null,
"grid_template_areas": null,
"grid_template_columns": null,
"grid_template_rows": null,
"height": null,
"justify_content": null,
"justify_items": null,
"left": null,
"margin": null,
"max_height": null,
"max_width": null,
"min_height": null,
"min_width": null,
"object_fit": null,
"object_position": null,
"order": null,
"overflow": null,
"padding": null,
"right": null,
"top": null,
"visibility": null,
"width": null
}
},
"d8bb6731131f4597a05e7d77e3fc6f7c": {
"model_module": "@jupyter-widgets/base",
"model_module_version": "2.0.0",
"model_name": "LayoutModel",
"state": {
"_model_module": "@jupyter-widgets/base",
"_model_module_version": "2.0.0",
"_model_name": "LayoutModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "2.0.0",
"_view_name": "LayoutView",
"align_content": null,
"align_items": null,
"align_self": null,
"border_bottom": null,
"border_left": null,
"border_right": null,
"border_top": null,
"bottom": null,
"display": null,
"flex": null,
"flex_flow": null,
"grid_area": null,
"grid_auto_columns": null,
"grid_auto_flow": null,
"grid_auto_rows": null,
"grid_column": null,
"grid_gap": null,
"grid_row": null,
"grid_template_areas": null,
"grid_template_columns": null,
"grid_template_rows": null,
"height": null,
"justify_content": null,
"justify_items": null,
"left": null,
"margin": null,
"max_height": null,
"max_width": null,
"min_height": null,
"min_width": null,
"object_fit": null,
"object_position": null,
"order": null,
"overflow": null,
"padding": null,
"right": null,
"top": null,
"visibility": null,
"width": null
}
},
"dcff3cbe455a4cfd99f7029f7442d2e5": {
"model_module": "@jupyter-widgets/output",
"model_module_version": "1.0.0",
"model_name": "OutputModel",
"state": {
"_dom_classes": [],
"_model_module": "@jupyter-widgets/output",
"_model_module_version": "1.0.0",
"_model_name": "OutputModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/output",
"_view_module_version": "1.0.0",
"_view_name": "OutputView",
"layout": "IPY_MODEL_8b59de9d500848d99dc04f474ca8bf9e",
"msg_id": "",
"outputs": [
{
"data": {
"text/html": "🏃 Starting 'mode_tutorial'... \n🏃 Starting 'mode_tutorial'... \n",
"text/plain": "\r\u001b[2K\u001b[32m🏃 \u001b[0m \u001b[1;32mStarting 'mode_tutorial'...\u001b[0m\n\u001b[32m🏃 \u001b[0m \u001b[1;32mStarting 'mode_tutorial'...\u001b[0m"
},
"metadata": {},
"output_type": "display_data"
}
],
"tabbable": null,
"tooltip": null
}
},
"e96db2055cc54631a7d30243affb562e": {
"model_module": "@jupyter-widgets/output",
"model_module_version": "1.0.0",
"model_name": "OutputModel",
"state": {
"_dom_classes": [],
"_model_module": "@jupyter-widgets/output",
"_model_module_version": "1.0.0",
"_model_name": "OutputModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/output",
"_view_module_version": "1.0.0",
"_view_name": "OutputView",
"layout": "IPY_MODEL_77b8b094a772487d8d1da6d24e6e8376",
"msg_id": "",
"outputs": [
{
"data": {
"text/html": "% done (field decay = 4.42e-09) ━━━━━━ ╺━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 16% -:--:-- \n% done (field decay = 4.42e-09) ━━━━━━ ╺━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 16% -:--:-- \n",
"text/plain": "\r\u001b[2K% done (field decay = 4.42e-09) \u001b[38;2;249;38;114m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[35m 16%\u001b[0m \u001b[36m-:--:--\u001b[0m\n% done (field decay = 4.42e-09) \u001b[38;2;249;38;114m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[35m 16%\u001b[0m \u001b[36m-:--:--\u001b[0m"
},
"metadata": {},
"output_type": "display_data"
}
],
"tabbable": null,
"tooltip": null
}
},
"e98121dbaad3496a9287bc367f8ac79c": {
"model_module": "@jupyter-widgets/base",
"model_module_version": "2.0.0",
"model_name": "LayoutModel",
"state": {
"_model_module": "@jupyter-widgets/base",
"_model_module_version": "2.0.0",
"_model_name": "LayoutModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "2.0.0",
"_view_name": "LayoutView",
"align_content": null,
"align_items": null,
"align_self": null,
"border_bottom": null,
"border_left": null,
"border_right": null,
"border_top": null,
"bottom": null,
"display": null,
"flex": null,
"flex_flow": null,
"grid_area": null,
"grid_auto_columns": null,
"grid_auto_flow": null,
"grid_auto_rows": null,
"grid_column": null,
"grid_gap": null,
"grid_row": null,
"grid_template_areas": null,
"grid_template_columns": null,
"grid_template_rows": null,
"height": null,
"justify_content": null,
"justify_items": null,
"left": null,
"margin": null,
"max_height": null,
"max_width": null,
"min_height": null,
"min_width": null,
"object_fit": null,
"object_position": null,
"order": null,
"overflow": null,
"padding": null,
"right": null,
"top": null,
"visibility": null,
"width": null
}
},
"ea2aa565c15d40db985b7a1c6b6a98e3": {
"model_module": "@jupyter-widgets/base",
"model_module_version": "2.0.0",
"model_name": "LayoutModel",
"state": {
"_model_module": "@jupyter-widgets/base",
"_model_module_version": "2.0.0",
"_model_name": "LayoutModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "2.0.0",
"_view_name": "LayoutView",
"align_content": null,
"align_items": null,
"align_self": null,
"border_bottom": null,
"border_left": null,
"border_right": null,
"border_top": null,
"bottom": null,
"display": null,
"flex": null,
"flex_flow": null,
"grid_area": null,
"grid_auto_columns": null,
"grid_auto_flow": null,
"grid_auto_rows": null,
"grid_column": null,
"grid_gap": null,
"grid_row": null,
"grid_template_areas": null,
"grid_template_columns": null,
"grid_template_rows": null,
"height": null,
"justify_content": null,
"justify_items": null,
"left": null,
"margin": null,
"max_height": null,
"max_width": null,
"min_height": null,
"min_width": null,
"object_fit": null,
"object_position": null,
"order": null,
"overflow": null,
"padding": null,
"right": null,
"top": null,
"visibility": null,
"width": null
}
},
"f7e039b42cc24f52ae736a405178943e": {
"model_module": "@jupyter-widgets/output",
"model_module_version": "1.0.0",
"model_name": "OutputModel",
"state": {
"_dom_classes": [],
"_model_module": "@jupyter-widgets/output",
"_model_module_version": "1.0.0",
"_model_name": "OutputModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/output",
"_view_module_version": "1.0.0",
"_view_name": "OutputView",
"layout": "IPY_MODEL_c67137cf0c46498c9a94471ffa3919ff",
"msg_id": "",
"outputs": [
{
"data": {
"text/html": "% done (field decay = 5.21e-07) ━━━━━━━━ ╺━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 20% -:--:-- \n% done (field decay = 5.21e-07) ━━━━━━━━ ╺━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 20% -:--:-- \n",
"text/plain": "\r\u001b[2K% done (field decay = 5.21e-07) \u001b[38;2;249;38;114m━━━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[35m 20%\u001b[0m \u001b[36m-:--:--\u001b[0m\n% done (field decay = 5.21e-07) \u001b[38;2;249;38;114m━━━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[35m 20%\u001b[0m \u001b[36m-:--:--\u001b[0m"
},
"metadata": {},
"output_type": "display_data"
}
],
"tabbable": null,
"tooltip": null
}
},
"f86a49c5292346339a38060778623228": {
"model_module": "@jupyter-widgets/output",
"model_module_version": "1.0.0",
"model_name": "OutputModel",
"state": {
"_dom_classes": [],
"_model_module": "@jupyter-widgets/output",
"_model_module_version": "1.0.0",
"_model_name": "OutputModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/output",
"_view_module_version": "1.0.0",
"_view_name": "OutputView",
"layout": "IPY_MODEL_e98121dbaad3496a9287bc367f8ac79c",
"msg_id": "",
"outputs": [
{
"data": {
"text/html": "🏃 Finishing 'mode_tutorial'... \n🏃 Finishing 'mode_tutorial'... \n",
"text/plain": "\r\u001b[2K\u001b[32m🏃 \u001b[0m \u001b[1;32mFinishing 'mode_tutorial'...\u001b[0m\n\u001b[32m🏃 \u001b[0m \u001b[1;32mFinishing 'mode_tutorial'...\u001b[0m"
},
"metadata": {},
"output_type": "display_data"
}
],
"tabbable": null,
"tooltip": null
}
},
"fb30743a109a454287c79db6ad3f19c7": {
"model_module": "@jupyter-widgets/output",
"model_module_version": "1.0.0",
"model_name": "OutputModel",
"state": {
"_dom_classes": [],
"_model_module": "@jupyter-widgets/output",
"_model_module_version": "1.0.0",
"_model_name": "OutputModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/output",
"_view_module_version": "1.0.0",
"_view_name": "OutputView",
"layout": "IPY_MODEL_d8bb6731131f4597a05e7d77e3fc6f7c",
"msg_id": "",
"outputs": [
{
"data": {
"text/html": "🏃 Finishing 'mode_tutorial'... \n🏃 Finishing 'mode_tutorial'... \n",
"text/plain": "\r\u001b[2K\u001b[32m🏃 \u001b[0m \u001b[1;32mFinishing 'mode_tutorial'...\u001b[0m\n\u001b[32m🏃 \u001b[0m \u001b[1;32mFinishing 'mode_tutorial'...\u001b[0m"
},
"metadata": {},
"output_type": "display_data"
}
],
"tabbable": null,
"tooltip": null
}
},
"ff1e6992b43e4b148e6c8da47ce742e2": {
"model_module": "@jupyter-widgets/base",
"model_module_version": "2.0.0",
"model_name": "LayoutModel",
"state": {
"_model_module": "@jupyter-widgets/base",
"_model_module_version": "2.0.0",
"_model_name": "LayoutModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "2.0.0",
"_view_name": "LayoutView",
"align_content": null,
"align_items": null,
"align_self": null,
"border_bottom": null,
"border_left": null,
"border_right": null,
"border_top": null,
"bottom": null,
"display": null,
"flex": null,
"flex_flow": null,
"grid_area": null,
"grid_auto_columns": null,
"grid_auto_flow": null,
"grid_auto_rows": null,
"grid_column": null,
"grid_gap": null,
"grid_row": null,
"grid_template_areas": null,
"grid_template_columns": null,
"grid_template_rows": null,
"height": null,
"justify_content": null,
"justify_items": null,
"left": null,
"margin": null,
"max_height": null,
"max_width": null,
"min_height": null,
"min_width": null,
"object_fit": null,
"object_position": null,
"order": null,
"overflow": null,
"padding": null,
"right": null,
"top": null,
"visibility": null,
"width": null
}
}
},
"version_major": 2,
"version_minor": 0
}
}
},
"nbformat": 4,
"nbformat_minor": 4
}