{
"cells": [
{
"cell_type": "code",
"execution_count": 1,
"id": "younger-catholic",
"metadata": {
"execution": {
"iopub.execute_input": "2021-01-22T17:21:24.793231Z",
"iopub.status.busy": "2021-01-22T17:21:24.791802Z",
"iopub.status.idle": "2021-01-22T17:21:25.772788Z",
"shell.execute_reply": "2021-01-22T17:21:25.771875Z"
}
},
"outputs": [],
"source": [
"%matplotlib inline\n",
"import matplotlib.pyplot as plt\n",
"import networkx as nx\n",
"from importlib import reload\n",
"import os\n",
"import autodepgraph as adg\n",
"from autodepgraph import AutoDepGraph_DAG"
]
},
{
"cell_type": "code",
"execution_count": 2,
"id": "immediate-installation",
"metadata": {
"execution": {
"iopub.execute_input": "2021-01-22T17:21:25.777085Z",
"iopub.status.busy": "2021-01-22T17:21:25.776158Z",
"iopub.status.idle": "2021-01-22T17:21:25.867589Z",
"shell.execute_reply": "2021-01-22T17:21:25.867067Z"
}
},
"outputs": [],
"source": [
"cal_True_delayed = 'autodepgraph.node_functions.calibration_functions.test_calibration_True_delayed'\n",
"test_graph = AutoDepGraph_DAG('test graph')\n",
"for node in ['A', 'B', 'C', 'D', 'E']:\n",
" test_graph.add_node(node,\n",
" calibrate_function=cal_True_delayed)"
]
},
{
"cell_type": "code",
"execution_count": 3,
"id": "independent-smart",
"metadata": {
"execution": {
"iopub.execute_input": "2021-01-22T17:21:25.887384Z",
"iopub.status.busy": "2021-01-22T17:21:25.876781Z",
"iopub.status.idle": "2021-01-22T17:21:25.918862Z",
"shell.execute_reply": "2021-01-22T17:21:25.918527Z"
}
},
"outputs": [],
"source": [
"test_graph.add_node?"
]
},
{
"cell_type": "code",
"execution_count": 4,
"id": "unlimited-headset",
"metadata": {
"execution": {
"iopub.execute_input": "2021-01-22T17:21:25.923022Z",
"iopub.status.busy": "2021-01-22T17:21:25.922035Z",
"iopub.status.idle": "2021-01-22T17:21:25.927498Z",
"shell.execute_reply": "2021-01-22T17:21:25.926945Z"
}
},
"outputs": [],
"source": [
"test_graph.add_edge('C', 'A')\n",
"test_graph.add_edge('C', 'B')\n",
"test_graph.add_edge('B', 'A')\n",
"test_graph.add_edge('D', 'A')\n",
"test_graph.add_edge('E', 'D')"
]
},
{
"cell_type": "code",
"execution_count": 5,
"id": "seven-peripheral",
"metadata": {
"execution": {
"iopub.execute_input": "2021-01-22T17:21:25.933402Z",
"iopub.status.busy": "2021-01-22T17:21:25.932168Z",
"iopub.status.idle": "2021-01-22T17:21:25.957982Z",
"shell.execute_reply": "2021-01-22T17:21:25.958329Z"
}
},
"outputs": [
{
"data": {
"text/plain": [
"'/home/docs/checkouts/readthedocs.org/user_builds/autodepgraph/envs/sphinx_doc/lib/python3.8/site-packages/autodepgraph/svg_viewer/adg_graph.svg'"
]
},
"execution_count": 5,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# The default plotting mode is SVG\n",
"test_graph.cfg_plot_mode = 'svg'\n",
"# Updates the monitor, in this case the svg/html page\n",
"test_graph.update_monitor()\n",
"\n",
"# Updating the monitor overwrites an svg file whose location is determined by the attribute:\n",
"test_graph.cfg_svg_filename"
]
},
{
"cell_type": "code",
"execution_count": 6,
"id": "organized-embassy",
"metadata": {
"execution": {
"iopub.execute_input": "2021-01-22T17:21:25.962339Z",
"iopub.status.busy": "2021-01-22T17:21:25.961530Z",
"iopub.status.idle": "2021-01-22T17:21:25.976489Z",
"shell.execute_reply": "2021-01-22T17:21:25.977088Z"
}
},
"outputs": [
{
"data": {
"image/svg+xml": [
""
],
"text/plain": [
""
]
},
"metadata": {
"filenames": {
"image/svg+xml": "/home/docs/checkouts/readthedocs.org/user_builds/autodepgraph/checkouts/sphinx_doc/docs/_build/jupyter_execute/tutorials/example_notebook_5_0.svg"
}
},
"output_type": "display_data"
}
],
"source": [
"from IPython.display import display, SVG\n",
"display(SVG(test_graph.cfg_svg_filename))"
]
},
{
"cell_type": "code",
"execution_count": 7,
"id": "further-czech",
"metadata": {
"execution": {
"iopub.execute_input": "2021-01-22T17:21:25.979978Z",
"iopub.status.busy": "2021-01-22T17:21:25.979524Z",
"iopub.status.idle": "2021-01-22T17:21:25.982331Z",
"shell.execute_reply": "2021-01-22T17:21:25.982999Z"
}
},
"outputs": [],
"source": [
"# The html page is located at the location specified by the url.\n",
"# The page generated based on a template when the open_html_viewer command is called.\n",
"# url = test_graph.open_html_viewer()\n",
"# print(url)"
]
},
{
"cell_type": "code",
"execution_count": 8,
"id": "statutory-leeds",
"metadata": {
"execution": {
"iopub.execute_input": "2021-01-22T17:21:25.998751Z",
"iopub.status.busy": "2021-01-22T17:21:25.998309Z",
"iopub.status.idle": "2021-01-22T17:21:26.218788Z",
"shell.execute_reply": "2021-01-22T17:21:26.220326Z"
}
},
"outputs": [
{
"data": {
"image/png": 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\n",
"text/plain": [
""
]
},
"metadata": {
"filenames": {
"image/png": "/home/docs/checkouts/readthedocs.org/user_builds/autodepgraph/checkouts/sphinx_doc/docs/_build/jupyter_execute/tutorials/example_notebook_7_0.png"
}
},
"output_type": "display_data"
}
],
"source": [
"# Alternatively a render in matplotlib can be drawn\n",
"test_graph.draw_mpl()"
]
},
{
"cell_type": "code",
"execution_count": 9,
"id": "mature-report",
"metadata": {
"execution": {
"iopub.execute_input": "2021-01-22T17:21:26.225837Z",
"iopub.status.busy": "2021-01-22T17:21:26.224101Z",
"iopub.status.idle": "2021-01-22T17:21:26.230841Z",
"shell.execute_reply": "2021-01-22T17:21:26.232016Z"
}
},
"outputs": [],
"source": [
"test_graph.set_all_node_states('needs calibration')"
]
},
{
"cell_type": "code",
"execution_count": 10,
"id": "convenient-verification",
"metadata": {
"execution": {
"iopub.execute_input": "2021-01-22T17:21:26.237265Z",
"iopub.status.busy": "2021-01-22T17:21:26.235553Z",
"iopub.status.idle": "2021-01-22T17:21:27.327038Z",
"shell.execute_reply": "2021-01-22T17:21:27.327503Z"
}
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Maintaining node \"B\".\n",
"Maintaining node \"A\".\n",
"\tCalibrating node A.\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\tCalibration of node A successful.\n",
"\tCalibrating node B.\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\tCalibration of node B successful.\n"
]
},
{
"data": {
"image/svg+xml": [
""
],
"text/plain": [
""
]
},
"metadata": {
"filenames": {
"image/svg+xml": "/home/docs/checkouts/readthedocs.org/user_builds/autodepgraph/checkouts/sphinx_doc/docs/_build/jupyter_execute/tutorials/example_notebook_9_3.svg"
}
},
"output_type": "display_data"
}
],
"source": [
"test_graph.maintain_B()\n",
"\n",
"display(SVG(test_graph.cfg_svg_filename))"
]
},
{
"cell_type": "code",
"execution_count": 11,
"id": "civilian-desert",
"metadata": {
"execution": {
"iopub.execute_input": "2021-01-22T17:21:27.332881Z",
"iopub.status.busy": "2021-01-22T17:21:27.332366Z",
"iopub.status.idle": "2021-01-22T17:21:27.351863Z",
"shell.execute_reply": "2021-01-22T17:21:27.352210Z"
}
},
"outputs": [],
"source": [
"# Update the plotting monitor (default matplotlib) to show your graph\n",
"test_graph.update_monitor()"
]
},
{
"cell_type": "code",
"execution_count": 12,
"id": "rising-circular",
"metadata": {
"execution": {
"iopub.execute_input": "2021-01-22T17:21:27.357399Z",
"iopub.status.busy": "2021-01-22T17:21:27.356216Z",
"iopub.status.idle": "2021-01-22T17:21:28.982042Z",
"shell.execute_reply": "2021-01-22T17:21:28.982436Z"
}
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Maintaining node \"E\".\n",
"Maintaining node \"D\".\n",
"Maintaining node \"A\".\n",
"\tCalibrating node A.\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\tCalibration of node A successful.\n",
"\tCalibrating node D.\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\tCalibration of node D successful.\n",
"\tCalibrating node E.\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\tCalibration of node E successful.\n"
]
},
{
"data": {
"image/svg+xml": [
""
],
"text/plain": [
""
]
},
"metadata": {
"filenames": {
"image/svg+xml": "/home/docs/checkouts/readthedocs.org/user_builds/autodepgraph/checkouts/sphinx_doc/docs/_build/jupyter_execute/tutorials/example_notebook_11_4.svg"
}
},
"output_type": "display_data"
}
],
"source": [
"test_graph.set_all_node_states('needs calibration')\n",
"\n",
"test_graph.maintain_node('E')\n",
"\n",
"display(SVG(test_graph.cfg_svg_filename))"
]
},
{
"cell_type": "code",
"execution_count": 13,
"id": "violent-custody",
"metadata": {
"execution": {
"iopub.execute_input": "2021-01-22T17:21:28.988957Z",
"iopub.status.busy": "2021-01-22T17:21:28.987065Z",
"iopub.status.idle": "2021-01-22T17:21:29.139930Z",
"shell.execute_reply": "2021-01-22T17:21:29.139231Z"
}
},
"outputs": [],
"source": [
"test_dir = os.path.join(adg.__path__[0], 'tests', 'test_data')\n",
"fn = os.path.join(test_dir, 'three_qubit_graph.yaml')\n",
"DAG = nx.readwrite.read_yaml(fn)"
]
},
{
"cell_type": "code",
"execution_count": 14,
"id": "atmospheric-peeing",
"metadata": {
"execution": {
"iopub.execute_input": "2021-01-22T17:21:29.149456Z",
"iopub.status.busy": "2021-01-22T17:21:29.148401Z",
"iopub.status.idle": "2021-01-22T17:21:29.194491Z",
"shell.execute_reply": "2021-01-22T17:21:29.194034Z"
}
},
"outputs": [
{
"data": {
"image/svg+xml": [
""
],
"text/plain": [
""
]
},
"metadata": {
"filenames": {
"image/svg+xml": "/home/docs/checkouts/readthedocs.org/user_builds/autodepgraph/checkouts/sphinx_doc/docs/_build/jupyter_execute/tutorials/example_notebook_13_0.svg"
}
},
"output_type": "display_data"
}
],
"source": [
"test_graph.cfg_plot_mode = 'svg'\n",
"DAG.update_monitor()\n",
"# This graph is so big, the html visualization is more suitable.\n",
"display(SVG(DAG.cfg_svg_filename))"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3",
"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": "3.8.6"
}
},
"nbformat": 4,
"nbformat_minor": 5
}