17914 lines
453 KiB
Text
17914 lines
453 KiB
Text
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"Dataset 1 (Task Schedule) Summary:\n",
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"Number of tasks: 70\n",
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"Time range: 0.00 - 375.00\n",
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"Total duration: 375.00\n",
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"Average task duration: 7.23\n",
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"\n",
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"Dataset 2 (Simulation Results) Summary:\n",
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"Number of tasks: 71\n",
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"Time range: 101981.00 - 102202.00\n",
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"Total duration: 221.00\n",
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"Average task duration: 4.46\n",
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"\n",
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"First 5 tasks from Dataset 1:\n",
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" Task Start End Duration Start_Normalized End_Normalized\n",
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"0 Task 0 0.0 1.0 1.0 0.0 1.0\n",
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"1 Task 1 1.0 5.0 4.0 1.0 5.0\n",
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"2 Task 2 5.0 12.0 7.0 5.0 12.0\n",
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"3 Task 3 12.0 102.0 90.0 12.0 102.0\n",
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"4 Task 4 97.0 102.0 5.0 97.0 102.0\n",
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"\n",
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"First 5 tasks from Dataset 2:\n",
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" Task Start End Duration Start_Normalized End_Normalized\n",
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"0 Task 70 101981 101981 0 0 0\n",
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"1 Task 0 101981 101982 1 0 1\n",
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"2 Task 1 101982 101986 4 1 5\n",
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"3 Task 2 101986 101993 7 5 12\n",
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"4 Task 4 101993 101998 5 12 17\n"
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]
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}
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],
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"source": [
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"import json\n",
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"import pandas as pd\n",
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"import numpy as np\n",
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"import matplotlib.pyplot as plt\n",
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"import plotly.graph_objects as go\n",
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"from plotly.subplots import make_subplots\n",
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"import plotly.express as px\n",
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"from datetime import datetime, timedelta\n",
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"\n",
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"# Load the data from both files\n",
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"def load_and_normalize_data():\n",
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" # Load first dataset (task_schedule.json)\n",
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" with open('/home/sfischer/Documents/projects/wk_LinProg/LinProg_Scripts/gantt_output/task_schedule.json', 'r') as f:\n",
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" data1 = json.load(f)\n",
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" \n",
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" # Load second dataset (simulation results)\n",
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" with open('/home/sfischer/Documents/projects/wk_LinProg/simulation/results/log_raw/gantt_timing_combined_log_LinProg_opt_test_rep50_link576_Opt_NoC_1_Comp_0.1_scratch10000_comp1.json', 'r') as f:\n",
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" data2 = json.load(f)\n",
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" \n",
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" # Convert first dataset to DataFrame\n",
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" df1 = pd.DataFrame(data1)\n",
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" df1['Source'] = 'Task Schedule'\n",
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" df1['Task_ID'] = df1['Task'].str.extract(r'(\\d+)').astype(int)\n",
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" \n",
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" # Convert second dataset to DataFrame\n",
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" df2 = pd.DataFrame(data2['tasks'])\n",
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" df2['Source'] = 'Simulation Results'\n",
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" df2['Task_ID'] = df2['task_id']\n",
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" df2['Task'] = 'Task ' + df2['task_id'].astype(str)\n",
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" df2['Start'] = df2['start_time']\n",
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" df2['End'] = df2['end_time']\n",
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" df2['Duration'] = df2['duration']\n",
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" \n",
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" # Normalize timing values to start from 0\n",
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" df1['Start_Normalized'] = df1['Start'] - df1['Start'].min()\n",
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" df1['End_Normalized'] = df1['End'] - df1['Start'].min()\n",
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" df1['Duration_Normalized'] = df1['Duration']\n",
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" \n",
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" df2['Start_Normalized'] = df2['Start'] - df2['Start'].min()\n",
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" df2['End_Normalized'] = df2['End'] - df2['Start'].min()\n",
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" df2['Duration_Normalized'] = df2['Duration']\n",
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" \n",
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" # Scale to same time range for comparison\n",
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" max_time_1 = df1['End_Normalized'].max()\n",
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" max_time_2 = df2['End_Normalized'].max()\n",
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" \n",
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" # Option 1: Scale both to 0-1 range\n",
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" df1['Start_Scaled'] = df1['Start_Normalized'] / max_time_1\n",
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" df1['End_Scaled'] = df1['End_Normalized'] / max_time_1\n",
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" df1['Duration_Scaled'] = df1['Duration_Normalized'] / max_time_1\n",
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" \n",
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" df2['Start_Scaled'] = df2['Start_Normalized'] / max_time_2\n",
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" df2['End_Scaled'] = df2['End_Normalized'] / max_time_2\n",
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" df2['Duration_Scaled'] = df2['Duration_Normalized'] / max_time_2\n",
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" \n",
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" return df1, df2\n",
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"\n",
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"# Load the data\n",
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"df1, df2 = load_and_normalize_data()\n",
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"\n",
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"print(\"Dataset 1 (Task Schedule) Summary:\")\n",
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"print(f\"Number of tasks: {len(df1)}\")\n",
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"print(f\"Time range: {df1['Start'].min():.2f} - {df1['End'].max():.2f}\")\n",
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"print(f\"Total duration: {df1['End'].max() - df1['Start'].min():.2f}\")\n",
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"print(f\"Average task duration: {df1['Duration'].mean():.2f}\")\n",
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"\n",
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"print(\"\\nDataset 2 (Simulation Results) Summary:\")\n",
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"print(f\"Number of tasks: {len(df2)}\")\n",
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"print(f\"Time range: {df2['Start'].min():.2f} - {df2['End'].max():.2f}\")\n",
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"print(f\"Total duration: {df2['End'].max() - df2['Start'].min():.2f}\")\n",
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"print(f\"Average task duration: {df2['Duration'].mean():.2f}\")\n",
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"\n",
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"# Display first few rows of each dataset\n",
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"print(\"\\nFirst 5 tasks from Dataset 1:\")\n",
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"print(df1[['Task', 'Start', 'End', 'Duration', 'Start_Normalized', 'End_Normalized']].head())\n",
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"\n",
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"print(\"\\nFirst 5 tasks from Dataset 2:\")\n",
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"print(df2[['Task', 'Start', 'End', 'Duration', 'Start_Normalized', 'End_Normalized']].head())"
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]
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|
|
"line": {
|
|
"color": "black",
|
|
"width": 1
|
|
},
|
|
"name": "Task 13",
|
|
"showlegend": false,
|
|
"text": "Duration: 7.0",
|
|
"type": "scatter",
|
|
"x": [
|
|
209,
|
|
216,
|
|
216,
|
|
209,
|
|
209
|
|
],
|
|
"xaxis": "x",
|
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"y": [
|
|
12.6,
|
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12.6,
|
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13.4,
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|
13.4,
|
|
12.6
|
|
],
|
|
"yaxis": "y"
|
|
},
|
|
{
|
|
"fill": "toself",
|
|
"fillcolor": "rgb(190,186,218)",
|
|
"hovertemplate": "<b>Task 14</b><br>Start: 208.0<br>End: 209.0<br>Duration: 1.0<br><extra></extra>",
|
|
"line": {
|
|
"color": "black",
|
|
"width": 1
|
|
},
|
|
"name": "Task 14",
|
|
"showlegend": false,
|
|
"text": "Duration: 1.0",
|
|
"type": "scatter",
|
|
"x": [
|
|
208,
|
|
209,
|
|
209,
|
|
208,
|
|
208
|
|
],
|
|
"xaxis": "x",
|
|
"y": [
|
|
13.6,
|
|
13.6,
|
|
14.4,
|
|
14.4,
|
|
13.6
|
|
],
|
|
"yaxis": "y"
|
|
},
|
|
{
|
|
"fill": "toself",
|
|
"fillcolor": "rgb(251,128,114)",
|
|
"hovertemplate": "<b>Task 15</b><br>Start: 216.0<br>End: 216.0<br>Duration: 0.0<br><extra></extra>",
|
|
"line": {
|
|
"color": "black",
|
|
"width": 1
|
|
},
|
|
"name": "Task 15",
|
|
"showlegend": false,
|
|
"text": "Duration: 0.0",
|
|
"type": "scatter",
|
|
"x": [
|
|
216,
|
|
216,
|
|
216,
|
|
216,
|
|
216
|
|
],
|
|
"xaxis": "x",
|
|
"y": [
|
|
14.6,
|
|
14.6,
|
|
15.4,
|
|
15.4,
|
|
14.6
|
|
],
|
|
"yaxis": "y"
|
|
},
|
|
{
|
|
"fill": "toself",
|
|
"fillcolor": "rgb(128,177,211)",
|
|
"hovertemplate": "<b>Task 16</b><br>Start: 216.0<br>End: 249.0<br>Duration: 33.0<br><extra></extra>",
|
|
"line": {
|
|
"color": "black",
|
|
"width": 1
|
|
},
|
|
"name": "Task 16",
|
|
"showlegend": false,
|
|
"text": "Duration: 33.0",
|
|
"type": "scatter",
|
|
"x": [
|
|
216,
|
|
249,
|
|
249,
|
|
216,
|
|
216
|
|
],
|
|
"xaxis": "x",
|
|
"y": [
|
|
15.6,
|
|
15.6,
|
|
16.4,
|
|
16.4,
|
|
15.6
|
|
],
|
|
"yaxis": "y"
|
|
},
|
|
{
|
|
"fill": "toself",
|
|
"fillcolor": "rgb(253,180,98)",
|
|
"hovertemplate": "<b>Task 17</b><br>Start: 246.0<br>End: 247.0<br>Duration: 1.0<br><extra></extra>",
|
|
"line": {
|
|
"color": "black",
|
|
"width": 1
|
|
},
|
|
"name": "Task 17",
|
|
"showlegend": false,
|
|
"text": "Duration: 1.0",
|
|
"type": "scatter",
|
|
"x": [
|
|
246,
|
|
247,
|
|
247,
|
|
246,
|
|
246
|
|
],
|
|
"xaxis": "x",
|
|
"y": [
|
|
16.6,
|
|
16.6,
|
|
17.4,
|
|
17.4,
|
|
16.6
|
|
],
|
|
"yaxis": "y"
|
|
},
|
|
{
|
|
"fill": "toself",
|
|
"fillcolor": "rgb(179,222,105)",
|
|
"hovertemplate": "<b>Task 18</b><br>Start: 247.0<br>End: 249.0<br>Duration: 2.0<br><extra></extra>",
|
|
"line": {
|
|
"color": "black",
|
|
"width": 1
|
|
},
|
|
"name": "Task 18",
|
|
"showlegend": false,
|
|
"text": "Duration: 2.0",
|
|
"type": "scatter",
|
|
"x": [
|
|
247,
|
|
249,
|
|
249,
|
|
247,
|
|
247
|
|
],
|
|
"xaxis": "x",
|
|
"y": [
|
|
17.6,
|
|
17.6,
|
|
18.4,
|
|
18.4,
|
|
17.6
|
|
],
|
|
"yaxis": "y"
|
|
},
|
|
{
|
|
"fill": "toself",
|
|
"fillcolor": "rgb(252,205,229)",
|
|
"hovertemplate": "<b>Task 19</b><br>Start: 241.0<br>End: 242.0<br>Duration: 1.0<br><extra></extra>",
|
|
"line": {
|
|
"color": "black",
|
|
"width": 1
|
|
},
|
|
"name": "Task 19",
|
|
"showlegend": false,
|
|
"text": "Duration: 1.0",
|
|
"type": "scatter",
|
|
"x": [
|
|
241,
|
|
242,
|
|
242,
|
|
241,
|
|
241
|
|
],
|
|
"xaxis": "x",
|
|
"y": [
|
|
18.6,
|
|
18.6,
|
|
19.4,
|
|
19.4,
|
|
18.6
|
|
],
|
|
"yaxis": "y"
|
|
},
|
|
{
|
|
"fill": "toself",
|
|
"fillcolor": "rgb(217,217,217)",
|
|
"hovertemplate": "<b>Task 20</b><br>Start: 242.0<br>End: 244.0<br>Duration: 2.0<br><extra></extra>",
|
|
"line": {
|
|
"color": "black",
|
|
"width": 1
|
|
},
|
|
"name": "Task 20",
|
|
"showlegend": false,
|
|
"text": "Duration: 2.0",
|
|
"type": "scatter",
|
|
"x": [
|
|
242,
|
|
244,
|
|
244,
|
|
242,
|
|
242
|
|
],
|
|
"xaxis": "x",
|
|
"y": [
|
|
19.6,
|
|
19.6,
|
|
20.4,
|
|
20.4,
|
|
19.6
|
|
],
|
|
"yaxis": "y"
|
|
},
|
|
{
|
|
"fill": "toself",
|
|
"fillcolor": "rgb(188,128,189)",
|
|
"hovertemplate": "<b>Task 21</b><br>Start: 244.0<br>End: 246.0<br>Duration: 2.0<br><extra></extra>",
|
|
"line": {
|
|
"color": "black",
|
|
"width": 1
|
|
},
|
|
"name": "Task 21",
|
|
"showlegend": false,
|
|
"text": "Duration: 2.0",
|
|
"type": "scatter",
|
|
"x": [
|
|
244,
|
|
246,
|
|
246,
|
|
244,
|
|
244
|
|
],
|
|
"xaxis": "x",
|
|
"y": [
|
|
20.6,
|
|
20.6,
|
|
21.4,
|
|
21.4,
|
|
20.6
|
|
],
|
|
"yaxis": "y"
|
|
},
|
|
{
|
|
"fill": "toself",
|
|
"fillcolor": "rgb(204,235,197)",
|
|
"hovertemplate": "<b>Task 22</b><br>Start: 239.0<br>End: 240.0<br>Duration: 1.0<br><extra></extra>",
|
|
"line": {
|
|
"color": "black",
|
|
"width": 1
|
|
},
|
|
"name": "Task 22",
|
|
"showlegend": false,
|
|
"text": "Duration: 1.0",
|
|
"type": "scatter",
|
|
"x": [
|
|
239,
|
|
240,
|
|
240,
|
|
239,
|
|
239
|
|
],
|
|
"xaxis": "x",
|
|
"y": [
|
|
21.6,
|
|
21.6,
|
|
22.4,
|
|
22.4,
|
|
21.6
|
|
],
|
|
"yaxis": "y"
|
|
},
|
|
{
|
|
"fill": "toself",
|
|
"fillcolor": "rgb(255,237,111)",
|
|
"hovertemplate": "<b>Task 23</b><br>Start: 240.0<br>End: 241.0<br>Duration: 1.0<br><extra></extra>",
|
|
"line": {
|
|
"color": "black",
|
|
"width": 1
|
|
},
|
|
"name": "Task 23",
|
|
"showlegend": false,
|
|
"text": "Duration: 1.0",
|
|
"type": "scatter",
|
|
"x": [
|
|
240,
|
|
241,
|
|
241,
|
|
240,
|
|
240
|
|
],
|
|
"xaxis": "x",
|
|
"y": [
|
|
22.6,
|
|
22.6,
|
|
23.4,
|
|
23.4,
|
|
22.6
|
|
],
|
|
"yaxis": "y"
|
|
},
|
|
{
|
|
"fill": "toself",
|
|
"fillcolor": "rgb(141,211,199)",
|
|
"hovertemplate": "<b>Task 24</b><br>Start: 249.0<br>End: 249.0<br>Duration: 0.0<br><extra></extra>",
|
|
"line": {
|
|
"color": "black",
|
|
"width": 1
|
|
},
|
|
"name": "Task 24",
|
|
"showlegend": false,
|
|
"text": "Duration: 0.0",
|
|
"type": "scatter",
|
|
"x": [
|
|
249,
|
|
249,
|
|
249,
|
|
249,
|
|
249
|
|
],
|
|
"xaxis": "x",
|
|
"y": [
|
|
23.6,
|
|
23.6,
|
|
24.4,
|
|
24.4,
|
|
23.6
|
|
],
|
|
"yaxis": "y"
|
|
},
|
|
{
|
|
"fill": "toself",
|
|
"fillcolor": "rgb(255,255,179)",
|
|
"hovertemplate": "<b>Task 25</b><br>Start: 259.0<br>End: 260.0<br>Duration: 1.0<br><extra></extra>",
|
|
"line": {
|
|
"color": "black",
|
|
"width": 1
|
|
},
|
|
"name": "Task 25",
|
|
"showlegend": false,
|
|
"text": "Duration: 1.0",
|
|
"type": "scatter",
|
|
"x": [
|
|
259,
|
|
260,
|
|
260,
|
|
259,
|
|
259
|
|
],
|
|
"xaxis": "x",
|
|
"y": [
|
|
24.6,
|
|
24.6,
|
|
25.4,
|
|
25.4,
|
|
24.6
|
|
],
|
|
"yaxis": "y"
|
|
},
|
|
{
|
|
"fill": "toself",
|
|
"fillcolor": "rgb(190,186,218)",
|
|
"hovertemplate": "<b>Task 26</b><br>Start: 256.0<br>End: 257.0<br>Duration: 1.0<br><extra></extra>",
|
|
"line": {
|
|
"color": "black",
|
|
"width": 1
|
|
},
|
|
"name": "Task 26",
|
|
"showlegend": false,
|
|
"text": "Duration: 1.0",
|
|
"type": "scatter",
|
|
"x": [
|
|
256,
|
|
257,
|
|
257,
|
|
256,
|
|
256
|
|
],
|
|
"xaxis": "x",
|
|
"y": [
|
|
25.6,
|
|
25.6,
|
|
26.4,
|
|
26.4,
|
|
25.6
|
|
],
|
|
"yaxis": "y"
|
|
},
|
|
{
|
|
"fill": "toself",
|
|
"fillcolor": "rgb(251,128,114)",
|
|
"hovertemplate": "<b>Task 27</b><br>Start: 257.0<br>End: 259.0<br>Duration: 2.0<br><extra></extra>",
|
|
"line": {
|
|
"color": "black",
|
|
"width": 1
|
|
},
|
|
"name": "Task 27",
|
|
"showlegend": false,
|
|
"text": "Duration: 2.0",
|
|
"type": "scatter",
|
|
"x": [
|
|
257,
|
|
259,
|
|
259,
|
|
257,
|
|
257
|
|
],
|
|
"xaxis": "x",
|
|
"y": [
|
|
26.6,
|
|
26.6,
|
|
27.4,
|
|
27.4,
|
|
26.6
|
|
],
|
|
"yaxis": "y"
|
|
},
|
|
{
|
|
"fill": "toself",
|
|
"fillcolor": "rgb(128,177,211)",
|
|
"hovertemplate": "<b>Task 28</b><br>Start: 251.0<br>End: 252.0<br>Duration: 1.0<br><extra></extra>",
|
|
"line": {
|
|
"color": "black",
|
|
"width": 1
|
|
},
|
|
"name": "Task 28",
|
|
"showlegend": false,
|
|
"text": "Duration: 1.0",
|
|
"type": "scatter",
|
|
"x": [
|
|
251,
|
|
252,
|
|
252,
|
|
251,
|
|
251
|
|
],
|
|
"xaxis": "x",
|
|
"y": [
|
|
27.6,
|
|
27.6,
|
|
28.4,
|
|
28.4,
|
|
27.6
|
|
],
|
|
"yaxis": "y"
|
|
},
|
|
{
|
|
"fill": "toself",
|
|
"fillcolor": "rgb(253,180,98)",
|
|
"hovertemplate": "<b>Task 29</b><br>Start: 252.0<br>End: 254.0<br>Duration: 2.0<br><extra></extra>",
|
|
"line": {
|
|
"color": "black",
|
|
"width": 1
|
|
},
|
|
"name": "Task 29",
|
|
"showlegend": false,
|
|
"text": "Duration: 2.0",
|
|
"type": "scatter",
|
|
"x": [
|
|
252,
|
|
254,
|
|
254,
|
|
252,
|
|
252
|
|
],
|
|
"xaxis": "x",
|
|
"y": [
|
|
28.6,
|
|
28.6,
|
|
29.4,
|
|
29.4,
|
|
28.6
|
|
],
|
|
"yaxis": "y"
|
|
},
|
|
{
|
|
"fill": "toself",
|
|
"fillcolor": "rgb(179,222,105)",
|
|
"hovertemplate": "<b>Task 30</b><br>Start: 254.0<br>End: 256.0<br>Duration: 2.0<br><extra></extra>",
|
|
"line": {
|
|
"color": "black",
|
|
"width": 1
|
|
},
|
|
"name": "Task 30",
|
|
"showlegend": false,
|
|
"text": "Duration: 2.0",
|
|
"type": "scatter",
|
|
"x": [
|
|
254,
|
|
256,
|
|
256,
|
|
254,
|
|
254
|
|
],
|
|
"xaxis": "x",
|
|
"y": [
|
|
29.6,
|
|
29.6,
|
|
30.4,
|
|
30.4,
|
|
29.6
|
|
],
|
|
"yaxis": "y"
|
|
},
|
|
{
|
|
"fill": "toself",
|
|
"fillcolor": "rgb(252,205,229)",
|
|
"hovertemplate": "<b>Task 31</b><br>Start: 249.0<br>End: 250.0<br>Duration: 1.0<br><extra></extra>",
|
|
"line": {
|
|
"color": "black",
|
|
"width": 1
|
|
},
|
|
"name": "Task 31",
|
|
"showlegend": false,
|
|
"text": "Duration: 1.0",
|
|
"type": "scatter",
|
|
"x": [
|
|
249,
|
|
250,
|
|
250,
|
|
249,
|
|
249
|
|
],
|
|
"xaxis": "x",
|
|
"y": [
|
|
30.6,
|
|
30.6,
|
|
31.4,
|
|
31.4,
|
|
30.6
|
|
],
|
|
"yaxis": "y"
|
|
},
|
|
{
|
|
"fill": "toself",
|
|
"fillcolor": "rgb(217,217,217)",
|
|
"hovertemplate": "<b>Task 32</b><br>Start: 250.0<br>End: 251.0<br>Duration: 1.0<br><extra></extra>",
|
|
"line": {
|
|
"color": "black",
|
|
"width": 1
|
|
},
|
|
"name": "Task 32",
|
|
"showlegend": false,
|
|
"text": "Duration: 1.0",
|
|
"type": "scatter",
|
|
"x": [
|
|
250,
|
|
251,
|
|
251,
|
|
250,
|
|
250
|
|
],
|
|
"xaxis": "x",
|
|
"y": [
|
|
31.6,
|
|
31.6,
|
|
32.4,
|
|
32.4,
|
|
31.6
|
|
],
|
|
"yaxis": "y"
|
|
},
|
|
{
|
|
"fill": "toself",
|
|
"fillcolor": "rgb(188,128,189)",
|
|
"hovertemplate": "<b>Task 33</b><br>Start: 260.0<br>End: 260.0<br>Duration: 0.0<br><extra></extra>",
|
|
"line": {
|
|
"color": "black",
|
|
"width": 1
|
|
},
|
|
"name": "Task 33",
|
|
"showlegend": false,
|
|
"text": "Duration: 0.0",
|
|
"type": "scatter",
|
|
"x": [
|
|
260,
|
|
260,
|
|
260,
|
|
260,
|
|
260
|
|
],
|
|
"xaxis": "x",
|
|
"y": [
|
|
32.6,
|
|
32.6,
|
|
33.4,
|
|
33.4,
|
|
32.6
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],
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},
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{
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"fill": "toself",
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},
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"name": "Task 34",
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"showlegend": false,
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"text": "Duration: 33.0",
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260,
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293,
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293,
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260,
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260
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33.6,
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33.6,
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34.4,
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34.4,
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33.6
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},
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{
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"fill": "toself",
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"fillcolor": "rgb(255,237,111)",
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"hovertemplate": "<b>Task 35</b><br>Start: 290.0<br>End: 291.0<br>Duration: 1.0<br><extra></extra>",
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"line": {
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"width": 1
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},
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"name": "Task 35",
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"showlegend": false,
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"text": "Duration: 1.0",
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"type": "scatter",
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"x": [
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290,
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291,
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291,
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290,
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290
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34.6,
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34.6,
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35.4,
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35.4,
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34.6
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"yaxis": "y"
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},
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{
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"fill": "toself",
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"fillcolor": "rgb(141,211,199)",
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"hovertemplate": "<b>Task 36</b><br>Start: 291.0<br>End: 293.0<br>Duration: 2.0<br><extra></extra>",
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"line": {
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"width": 1
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},
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"name": "Task 36",
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"showlegend": false,
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"text": "Duration: 2.0",
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"type": "scatter",
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"x": [
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291,
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293,
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293,
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291,
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291
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35.6,
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35.6,
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36.4,
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36.4,
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35.6
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],
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"yaxis": "y"
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},
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{
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"fill": "toself",
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"fillcolor": "rgb(255,255,179)",
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"hovertemplate": "<b>Task 37</b><br>Start: 285.0<br>End: 286.0<br>Duration: 1.0<br><extra></extra>",
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"line": {
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"width": 1
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},
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"name": "Task 37",
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"showlegend": false,
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"text": "Duration: 1.0",
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"type": "scatter",
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"x": [
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285,
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286,
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286,
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285,
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285
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],
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"xaxis": "x",
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36.6,
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36.6,
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37.4,
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37.4,
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36.6
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],
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"yaxis": "y"
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},
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{
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"fill": "toself",
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"fillcolor": "rgb(190,186,218)",
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"hovertemplate": "<b>Task 38</b><br>Start: 286.0<br>End: 288.0<br>Duration: 2.0<br><extra></extra>",
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"line": {
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"width": 1
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},
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"name": "Task 38",
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"showlegend": false,
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"text": "Duration: 2.0",
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"type": "scatter",
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"x": [
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286,
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288,
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288,
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286,
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286
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],
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"xaxis": "x",
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"y": [
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37.6,
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37.6,
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38.4,
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38.4,
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37.6
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],
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"yaxis": "y"
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},
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{
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"fill": "toself",
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"fillcolor": "rgb(251,128,114)",
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"hovertemplate": "<b>Task 39</b><br>Start: 288.0<br>End: 290.0<br>Duration: 2.0<br><extra></extra>",
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"line": {
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"color": "black",
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"width": 1
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},
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"name": "Task 39",
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"showlegend": false,
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"text": "Duration: 2.0",
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"type": "scatter",
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"x": [
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288,
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290,
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290,
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288,
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288
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],
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"xaxis": "x",
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"y": [
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38.6,
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38.6,
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39.4,
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39.4,
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38.6
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],
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"yaxis": "y"
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},
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{
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"fill": "toself",
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"fillcolor": "rgb(128,177,211)",
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"hovertemplate": "<b>Task 40</b><br>Start: 283.0<br>End: 284.0<br>Duration: 1.0<br><extra></extra>",
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"line": {
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"color": "black",
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"width": 1
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},
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"name": "Task 40",
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"showlegend": false,
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"text": "Duration: 1.0",
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"type": "scatter",
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"x": [
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283,
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284,
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284,
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283,
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283
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|
],
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"xaxis": "x",
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"y": [
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39.6,
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39.6,
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40.4,
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40.4,
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39.6
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],
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"yaxis": "y"
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},
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{
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"fill": "toself",
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"fillcolor": "rgb(253,180,98)",
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"hovertemplate": "<b>Task 41</b><br>Start: 284.0<br>End: 285.0<br>Duration: 1.0<br><extra></extra>",
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"line": {
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"color": "black",
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"width": 1
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},
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"name": "Task 41",
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"showlegend": false,
|
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"text": "Duration: 1.0",
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"type": "scatter",
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"x": [
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284,
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285,
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285,
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284,
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284
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],
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"xaxis": "x",
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"y": [
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40.6,
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40.6,
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41.4,
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41.4,
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40.6
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],
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"yaxis": "y"
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},
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{
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"fill": "toself",
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"fillcolor": "rgb(179,222,105)",
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"hovertemplate": "<b>Task 42</b><br>Start: 293.0<br>End: 293.0<br>Duration: 0.0<br><extra></extra>",
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"line": {
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"color": "black",
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"width": 1
|
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},
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"name": "Task 42",
|
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"showlegend": false,
|
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"text": "Duration: 0.0",
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"type": "scatter",
|
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"x": [
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293,
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293,
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293,
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293,
|
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293
|
|
],
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"xaxis": "x",
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"y": [
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41.6,
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41.6,
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42.4,
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42.4,
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41.6
|
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],
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"yaxis": "y"
|
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},
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{
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"fill": "toself",
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"fillcolor": "rgb(252,205,229)",
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"hovertemplate": "<b>Task 43</b><br>Start: 303.0<br>End: 304.0<br>Duration: 1.0<br><extra></extra>",
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"line": {
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"color": "black",
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"width": 1
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},
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"name": "Task 43",
|
|
"showlegend": false,
|
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"text": "Duration: 1.0",
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"type": "scatter",
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"x": [
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303,
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304,
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304,
|
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303,
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303
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|
],
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"xaxis": "x",
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"y": [
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42.6,
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42.6,
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43.4,
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43.4,
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42.6
|
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],
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"yaxis": "y"
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},
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{
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"fill": "toself",
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"fillcolor": "rgb(217,217,217)",
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"hovertemplate": "<b>Task 44</b><br>Start: 300.0<br>End: 301.0<br>Duration: 1.0<br><extra></extra>",
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"line": {
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"color": "black",
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"width": 1
|
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},
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"name": "Task 44",
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"showlegend": false,
|
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"text": "Duration: 1.0",
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"type": "scatter",
|
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"x": [
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300,
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301,
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301,
|
|
300,
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|
300
|
|
],
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"xaxis": "x",
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"y": [
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43.6,
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43.6,
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44.4,
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44.4,
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43.6
|
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],
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"yaxis": "y"
|
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},
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{
|
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"fill": "toself",
|
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"fillcolor": "rgb(188,128,189)",
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"hovertemplate": "<b>Task 45</b><br>Start: 301.0<br>End: 303.0<br>Duration: 2.0<br><extra></extra>",
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"line": {
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"color": "black",
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"width": 1
|
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},
|
|
"name": "Task 45",
|
|
"showlegend": false,
|
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"text": "Duration: 2.0",
|
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"type": "scatter",
|
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"x": [
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301,
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303,
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303,
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301,
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|
301
|
|
],
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"xaxis": "x",
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"y": [
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44.6,
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44.6,
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45.4,
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45.4,
|
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44.6
|
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],
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"yaxis": "y"
|
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},
|
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{
|
|
"fill": "toself",
|
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"fillcolor": "rgb(204,235,197)",
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"hovertemplate": "<b>Task 46</b><br>Start: 295.0<br>End: 296.0<br>Duration: 1.0<br><extra></extra>",
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"line": {
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"color": "black",
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"width": 1
|
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},
|
|
"name": "Task 46",
|
|
"showlegend": false,
|
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"text": "Duration: 1.0",
|
|
"type": "scatter",
|
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"x": [
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295,
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|
296,
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|
296,
|
|
295,
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|
295
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|
],
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|
"xaxis": "x",
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"y": [
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45.6,
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45.6,
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46.4,
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46.4,
|
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45.6
|
|
],
|
|
"yaxis": "y"
|
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},
|
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{
|
|
"fill": "toself",
|
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"fillcolor": "rgb(255,237,111)",
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"hovertemplate": "<b>Task 47</b><br>Start: 296.0<br>End: 298.0<br>Duration: 2.0<br><extra></extra>",
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"line": {
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"color": "black",
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"width": 1
|
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},
|
|
"name": "Task 47",
|
|
"showlegend": false,
|
|
"text": "Duration: 2.0",
|
|
"type": "scatter",
|
|
"x": [
|
|
296,
|
|
298,
|
|
298,
|
|
296,
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|
296
|
|
],
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|
"xaxis": "x",
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"y": [
|
|
46.6,
|
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46.6,
|
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47.4,
|
|
47.4,
|
|
46.6
|
|
],
|
|
"yaxis": "y"
|
|
},
|
|
{
|
|
"fill": "toself",
|
|
"fillcolor": "rgb(141,211,199)",
|
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"hovertemplate": "<b>Task 48</b><br>Start: 298.0<br>End: 300.0<br>Duration: 2.0<br><extra></extra>",
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|
"line": {
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"color": "black",
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"width": 1
|
|
},
|
|
"name": "Task 48",
|
|
"showlegend": false,
|
|
"text": "Duration: 2.0",
|
|
"type": "scatter",
|
|
"x": [
|
|
298,
|
|
300,
|
|
300,
|
|
298,
|
|
298
|
|
],
|
|
"xaxis": "x",
|
|
"y": [
|
|
47.6,
|
|
47.6,
|
|
48.4,
|
|
48.4,
|
|
47.6
|
|
],
|
|
"yaxis": "y"
|
|
},
|
|
{
|
|
"fill": "toself",
|
|
"fillcolor": "rgb(255,255,179)",
|
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"hovertemplate": "<b>Task 49</b><br>Start: 293.0<br>End: 294.0<br>Duration: 1.0<br><extra></extra>",
|
|
"line": {
|
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"color": "black",
|
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"width": 1
|
|
},
|
|
"name": "Task 49",
|
|
"showlegend": false,
|
|
"text": "Duration: 1.0",
|
|
"type": "scatter",
|
|
"x": [
|
|
293,
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|
294,
|
|
294,
|
|
293,
|
|
293
|
|
],
|
|
"xaxis": "x",
|
|
"y": [
|
|
48.6,
|
|
48.6,
|
|
49.4,
|
|
49.4,
|
|
48.6
|
|
],
|
|
"yaxis": "y"
|
|
},
|
|
{
|
|
"fill": "toself",
|
|
"fillcolor": "rgb(190,186,218)",
|
|
"hovertemplate": "<b>Task 50</b><br>Start: 294.0<br>End: 295.0<br>Duration: 1.0<br><extra></extra>",
|
|
"line": {
|
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"color": "black",
|
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"width": 1
|
|
},
|
|
"name": "Task 50",
|
|
"showlegend": false,
|
|
"text": "Duration: 1.0",
|
|
"type": "scatter",
|
|
"x": [
|
|
294,
|
|
295,
|
|
295,
|
|
294,
|
|
294
|
|
],
|
|
"xaxis": "x",
|
|
"y": [
|
|
49.6,
|
|
49.6,
|
|
50.4,
|
|
50.4,
|
|
49.6
|
|
],
|
|
"yaxis": "y"
|
|
},
|
|
{
|
|
"fill": "toself",
|
|
"fillcolor": "rgb(251,128,114)",
|
|
"hovertemplate": "<b>Task 51</b><br>Start: 304.0<br>End: 304.0<br>Duration: 0.0<br><extra></extra>",
|
|
"line": {
|
|
"color": "black",
|
|
"width": 1
|
|
},
|
|
"name": "Task 51",
|
|
"showlegend": false,
|
|
"text": "Duration: 0.0",
|
|
"type": "scatter",
|
|
"x": [
|
|
304,
|
|
304,
|
|
304,
|
|
304,
|
|
304
|
|
],
|
|
"xaxis": "x",
|
|
"y": [
|
|
50.6,
|
|
50.6,
|
|
51.4,
|
|
51.4,
|
|
50.6
|
|
],
|
|
"yaxis": "y"
|
|
},
|
|
{
|
|
"fill": "toself",
|
|
"fillcolor": "rgb(128,177,211)",
|
|
"hovertemplate": "<b>Task 52</b><br>Start: 304.0<br>End: 341.0<br>Duration: 37.0<br><extra></extra>",
|
|
"line": {
|
|
"color": "black",
|
|
"width": 1
|
|
},
|
|
"name": "Task 52",
|
|
"showlegend": false,
|
|
"text": "Duration: 37.0",
|
|
"type": "scatter",
|
|
"x": [
|
|
304,
|
|
341,
|
|
341,
|
|
304,
|
|
304
|
|
],
|
|
"xaxis": "x",
|
|
"y": [
|
|
51.6,
|
|
51.6,
|
|
52.4,
|
|
52.4,
|
|
51.6
|
|
],
|
|
"yaxis": "y"
|
|
},
|
|
{
|
|
"fill": "toself",
|
|
"fillcolor": "rgb(253,180,98)",
|
|
"hovertemplate": "<b>Task 53</b><br>Start: 305.0<br>End: 307.0<br>Duration: 2.0<br><extra></extra>",
|
|
"line": {
|
|
"color": "black",
|
|
"width": 1
|
|
},
|
|
"name": "Task 53",
|
|
"showlegend": false,
|
|
"text": "Duration: 2.0",
|
|
"type": "scatter",
|
|
"x": [
|
|
305,
|
|
307,
|
|
307,
|
|
305,
|
|
305
|
|
],
|
|
"xaxis": "x",
|
|
"y": [
|
|
52.6,
|
|
52.6,
|
|
53.4,
|
|
53.4,
|
|
52.6
|
|
],
|
|
"yaxis": "y"
|
|
},
|
|
{
|
|
"fill": "toself",
|
|
"fillcolor": "rgb(179,222,105)",
|
|
"hovertemplate": "<b>Task 54</b><br>Start: 307.0<br>End: 315.0<br>Duration: 8.0<br><extra></extra>",
|
|
"line": {
|
|
"color": "black",
|
|
"width": 1
|
|
},
|
|
"name": "Task 54",
|
|
"showlegend": false,
|
|
"text": "Duration: 8.0",
|
|
"type": "scatter",
|
|
"x": [
|
|
307,
|
|
315,
|
|
315,
|
|
307,
|
|
307
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|
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53.6,
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53.6,
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54.4,
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54.4,
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53.6
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},
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{
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"fill": "toself",
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315,
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318,
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318,
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315,
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315
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54.6,
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54.6,
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55.4,
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55.4,
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54.6
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},
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{
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"fill": "toself",
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},
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"name": "Task 56",
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304,
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305,
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305,
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304,
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304
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55.6,
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55.6,
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56.4,
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56.4,
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55.6
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},
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{
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"fill": "toself",
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"line": {
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},
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"name": "Task 57",
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341,
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341,
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341,
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341,
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341
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56.6,
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56.6,
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57.4,
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57.4,
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56.6
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},
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{
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"fill": "toself",
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"line": {
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},
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"name": "Task 58",
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372,
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374,
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374,
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372,
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372
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57.6,
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57.6,
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58.4,
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58.4,
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57.6
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"yaxis": "y"
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},
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{
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"fill": "toself",
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"line": {
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"width": 1
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},
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"name": "Task 59",
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"showlegend": false,
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"text": "Duration: 1.0",
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"type": "scatter",
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367,
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368,
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368,
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367,
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367
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],
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"xaxis": "x",
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58.6,
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58.6,
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59.4,
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59.4,
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58.6
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],
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"yaxis": "y"
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},
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{
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"fill": "toself",
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"fillcolor": "rgb(141,211,199)",
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"hovertemplate": "<b>Task 60</b><br>Start: 368.0<br>End: 370.0<br>Duration: 2.0<br><extra></extra>",
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"line": {
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"color": "black",
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"width": 1
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},
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"name": "Task 60",
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"showlegend": false,
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"text": "Duration: 2.0",
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"type": "scatter",
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"x": [
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368,
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370,
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370,
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368,
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368
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],
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"xaxis": "x",
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59.6,
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59.6,
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60.4,
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60.4,
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59.6
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],
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"yaxis": "y"
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},
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{
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"fill": "toself",
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"fillcolor": "rgb(255,255,179)",
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"hovertemplate": "<b>Task 61</b><br>Start: 370.0<br>End: 372.0<br>Duration: 2.0<br><extra></extra>",
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"line": {
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"color": "black",
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"width": 1
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},
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"name": "Task 61",
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"showlegend": false,
|
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"text": "Duration: 2.0",
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"type": "scatter",
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"x": [
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370,
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372,
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372,
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370,
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370
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],
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"xaxis": "x",
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"y": [
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60.6,
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60.6,
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61.4,
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61.4,
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60.6
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],
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"yaxis": "y"
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},
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{
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"fill": "toself",
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"fillcolor": "rgb(190,186,218)",
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"hovertemplate": "<b>Task 62</b><br>Start: 341.0<br>End: 342.0<br>Duration: 1.0<br><extra></extra>",
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"line": {
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"color": "black",
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"width": 1
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},
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"name": "Task 62",
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"showlegend": false,
|
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"text": "Duration: 1.0",
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"type": "scatter",
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"x": [
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341,
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342,
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342,
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341,
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341
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],
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"xaxis": "x",
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"y": [
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61.6,
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61.6,
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62.4,
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62.4,
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61.6
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],
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"yaxis": "y"
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},
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{
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"fill": "toself",
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"fillcolor": "rgb(251,128,114)",
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"hovertemplate": "<b>Task 63</b><br>Start: 342.0<br>End: 344.0<br>Duration: 2.0<br><extra></extra>",
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"line": {
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"color": "black",
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"width": 1
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},
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"name": "Task 63",
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"showlegend": false,
|
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"text": "Duration: 2.0",
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"type": "scatter",
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"x": [
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342,
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344,
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344,
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342,
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342
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],
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"xaxis": "x",
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"y": [
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62.6,
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62.6,
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63.4,
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63.4,
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62.6
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],
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"yaxis": "y"
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},
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{
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"fill": "toself",
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"fillcolor": "rgb(128,177,211)",
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"hovertemplate": "<b>Task 64</b><br>Start: 344.0<br>End: 363.0<br>Duration: 19.0<br><extra></extra>",
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"line": {
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"color": "black",
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"width": 1
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},
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"name": "Task 64",
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"showlegend": false,
|
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"text": "Duration: 19.0",
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"type": "scatter",
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"x": [
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344,
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363,
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363,
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344,
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344
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],
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"xaxis": "x",
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63.6,
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63.6,
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64.4,
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64.4,
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63.6
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],
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"yaxis": "y"
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},
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{
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"fill": "toself",
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"fillcolor": "rgb(253,180,98)",
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"hovertemplate": "<b>Task 65</b><br>Start: 363.0<br>End: 365.0<br>Duration: 2.0<br><extra></extra>",
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"line": {
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"width": 1
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},
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"name": "Task 65",
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"showlegend": false,
|
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"text": "Duration: 2.0",
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"type": "scatter",
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"x": [
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363,
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365,
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365,
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363,
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363
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],
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"xaxis": "x",
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64.6,
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64.6,
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65.4,
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65.4,
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64.6
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],
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"yaxis": "y"
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},
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{
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"fill": "toself",
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"fillcolor": "rgb(179,222,105)",
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"hovertemplate": "<b>Task 66</b><br>Start: 365.0<br>End: 367.0<br>Duration: 2.0<br><extra></extra>",
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"line": {
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"width": 1
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},
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"name": "Task 66",
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"showlegend": false,
|
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"text": "Duration: 2.0",
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"type": "scatter",
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"x": [
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365,
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367,
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367,
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365,
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365
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],
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"xaxis": "x",
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65.6,
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65.6,
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66.4,
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66.4,
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65.6
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],
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"yaxis": "y"
|
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},
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{
|
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"fill": "toself",
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"fillcolor": "rgb(252,205,229)",
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"hovertemplate": "<b>Task 67</b><br>Start: 341.0<br>End: 342.0<br>Duration: 1.0<br><extra></extra>",
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"line": {
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"color": "black",
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"width": 1
|
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},
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"name": "Task 67",
|
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"showlegend": false,
|
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"text": "Duration: 1.0",
|
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"type": "scatter",
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"x": [
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341,
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342,
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342,
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341,
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341
|
|
],
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|
"xaxis": "x",
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66.6,
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66.6,
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67.4,
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67.4,
|
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66.6
|
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],
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"yaxis": "y"
|
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},
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{
|
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"fill": "toself",
|
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"fillcolor": "rgb(217,217,217)",
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"hovertemplate": "<b>Task 68</b><br>Start: 342.0<br>End: 343.0<br>Duration: 1.0<br><extra></extra>",
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"line": {
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"color": "black",
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"width": 1
|
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},
|
|
"name": "Task 68",
|
|
"showlegend": false,
|
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"text": "Duration: 1.0",
|
|
"type": "scatter",
|
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"x": [
|
|
342,
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343,
|
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343,
|
|
342,
|
|
342
|
|
],
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|
"xaxis": "x",
|
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"y": [
|
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67.6,
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67.6,
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68.4,
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68.4,
|
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67.6
|
|
],
|
|
"yaxis": "y"
|
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},
|
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{
|
|
"fill": "toself",
|
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"fillcolor": "rgb(188,128,189)",
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"hovertemplate": "<b>Task 69</b><br>Start: 374.0<br>End: 375.0<br>Duration: 1.0<br><extra></extra>",
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"line": {
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"color": "black",
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"width": 1
|
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},
|
|
"name": "Task 69",
|
|
"showlegend": false,
|
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"text": "Duration: 1.0",
|
|
"type": "scatter",
|
|
"x": [
|
|
374,
|
|
375,
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|
375,
|
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374,
|
|
374
|
|
],
|
|
"xaxis": "x",
|
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"y": [
|
|
68.6,
|
|
68.6,
|
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69.4,
|
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69.4,
|
|
68.6
|
|
],
|
|
"yaxis": "y"
|
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},
|
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{
|
|
"fill": "toself",
|
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"fillcolor": "rgb(102, 197, 204)",
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"hovertemplate": "<b>Task 70</b><br>Start: 101981.0<br>End: 101981.0<br>Duration: 0.0<br>Accelerator: 10<br><extra></extra>",
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"line": {
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"color": "black",
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"width": 1
|
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},
|
|
"name": "Task 70",
|
|
"showlegend": false,
|
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"text": "Duration: 0.0",
|
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"type": "scatter",
|
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"x": [
|
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0,
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0,
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0,
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0,
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0
|
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],
|
|
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|
|
69.6,
|
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69.6,
|
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70.4,
|
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70.4,
|
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69.6
|
|
],
|
|
"yaxis": "y2"
|
|
},
|
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{
|
|
"fill": "toself",
|
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"fillcolor": "rgb(246, 207, 113)",
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"hovertemplate": "<b>Task 0</b><br>Start: 101981.0<br>End: 101982.0<br>Duration: 1.0<br>Accelerator: 10<br><extra></extra>",
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"line": {
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"color": "black",
|
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"width": 1
|
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},
|
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"name": "Task 0",
|
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"showlegend": false,
|
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"text": "Duration: 1.0",
|
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"type": "scatter",
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0,
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1,
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1,
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0,
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|
0
|
|
],
|
|
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|
|
"y": [
|
|
-0.4,
|
|
-0.4,
|
|
0.4,
|
|
0.4,
|
|
-0.4
|
|
],
|
|
"yaxis": "y2"
|
|
},
|
|
{
|
|
"fill": "toself",
|
|
"fillcolor": "rgb(248, 156, 116)",
|
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"hovertemplate": "<b>Task 1</b><br>Start: 101982.0<br>End: 101986.0<br>Duration: 4.0<br>Accelerator: 10<br><extra></extra>",
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|
"line": {
|
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"color": "black",
|
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"width": 1
|
|
},
|
|
"name": "Task 1",
|
|
"showlegend": false,
|
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"text": "Duration: 4.0",
|
|
"type": "scatter",
|
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"x": [
|
|
1,
|
|
5,
|
|
5,
|
|
1,
|
|
1
|
|
],
|
|
"xaxis": "x2",
|
|
"y": [
|
|
0.6,
|
|
0.6,
|
|
1.4,
|
|
1.4,
|
|
0.6
|
|
],
|
|
"yaxis": "y2"
|
|
},
|
|
{
|
|
"fill": "toself",
|
|
"fillcolor": "rgb(220, 176, 242)",
|
|
"hovertemplate": "<b>Task 2</b><br>Start: 101986.0<br>End: 101993.0<br>Duration: 7.0<br>Accelerator: 10<br><extra></extra>",
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|
"line": {
|
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"color": "black",
|
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"width": 1
|
|
},
|
|
"name": "Task 2",
|
|
"showlegend": false,
|
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"text": "Duration: 7.0",
|
|
"type": "scatter",
|
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|
|
5,
|
|
12,
|
|
12,
|
|
5,
|
|
5
|
|
],
|
|
"xaxis": "x2",
|
|
"y": [
|
|
1.6,
|
|
1.6,
|
|
2.4,
|
|
2.4,
|
|
1.6
|
|
],
|
|
"yaxis": "y2"
|
|
},
|
|
{
|
|
"fill": "toself",
|
|
"fillcolor": "rgb(135, 197, 95)",
|
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"hovertemplate": "<b>Task 4</b><br>Start: 101993.0<br>End: 101998.0<br>Duration: 5.0<br>Accelerator: 6<br><extra></extra>",
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|
"line": {
|
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"color": "black",
|
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"width": 1
|
|
},
|
|
"name": "Task 4",
|
|
"showlegend": false,
|
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"text": "Duration: 5.0",
|
|
"type": "scatter",
|
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"x": [
|
|
12,
|
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17,
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|
17,
|
|
12,
|
|
12
|
|
],
|
|
"xaxis": "x2",
|
|
"y": [
|
|
3.6,
|
|
3.6,
|
|
4.4,
|
|
4.4,
|
|
3.6
|
|
],
|
|
"yaxis": "y2"
|
|
},
|
|
{
|
|
"fill": "toself",
|
|
"fillcolor": "rgb(158, 185, 243)",
|
|
"hovertemplate": "<b>Task 3</b><br>Start: 101993.0<br>End: 102030.0<br>Duration: 37.0<br>Accelerator: 10<br><extra></extra>",
|
|
"line": {
|
|
"color": "black",
|
|
"width": 1
|
|
},
|
|
"name": "Task 3",
|
|
"showlegend": false,
|
|
"text": "Duration: 37.0",
|
|
"type": "scatter",
|
|
"x": [
|
|
12,
|
|
49,
|
|
49,
|
|
12,
|
|
12
|
|
],
|
|
"xaxis": "x2",
|
|
"y": [
|
|
2.6,
|
|
2.6,
|
|
3.4,
|
|
3.4,
|
|
2.6
|
|
],
|
|
"yaxis": "y2"
|
|
},
|
|
{
|
|
"fill": "toself",
|
|
"fillcolor": "rgb(254, 136, 177)",
|
|
"hovertemplate": "<b>Task 5</b><br>Start: 102030.0<br>End: 102030.0<br>Duration: 0.0<br>Accelerator: 6<br><extra></extra>",
|
|
"line": {
|
|
"color": "black",
|
|
"width": 1
|
|
},
|
|
"name": "Task 5",
|
|
"showlegend": false,
|
|
"text": "Duration: 0.0",
|
|
"type": "scatter",
|
|
"x": [
|
|
49,
|
|
49,
|
|
49,
|
|
49,
|
|
49
|
|
],
|
|
"xaxis": "x2",
|
|
"y": [
|
|
4.6,
|
|
4.6,
|
|
5.4,
|
|
5.4,
|
|
4.6
|
|
],
|
|
"yaxis": "y2"
|
|
},
|
|
{
|
|
"fill": "toself",
|
|
"fillcolor": "rgb(201, 219, 116)",
|
|
"hovertemplate": "<b>Task 8</b><br>Start: 102030.0<br>End: 102031.0<br>Duration: 1.0<br>Accelerator: 7<br><extra></extra>",
|
|
"line": {
|
|
"color": "black",
|
|
"width": 1
|
|
},
|
|
"name": "Task 8",
|
|
"showlegend": false,
|
|
"text": "Duration: 1.0",
|
|
"type": "scatter",
|
|
"x": [
|
|
49,
|
|
50,
|
|
50,
|
|
49,
|
|
49
|
|
],
|
|
"xaxis": "x2",
|
|
"y": [
|
|
7.6,
|
|
7.6,
|
|
8.4,
|
|
8.4,
|
|
7.6
|
|
],
|
|
"yaxis": "y2"
|
|
},
|
|
{
|
|
"fill": "toself",
|
|
"fillcolor": "rgb(139, 224, 164)",
|
|
"hovertemplate": "<b>Task 6</b><br>Start: 102030.0<br>End: 102103.0<br>Duration: 73.0<br>Accelerator: 6<br><extra></extra>",
|
|
"line": {
|
|
"color": "black",
|
|
"width": 1
|
|
},
|
|
"name": "Task 6",
|
|
"showlegend": false,
|
|
"text": "Duration: 73.0",
|
|
"type": "scatter",
|
|
"x": [
|
|
49,
|
|
122,
|
|
122,
|
|
49,
|
|
49
|
|
],
|
|
"xaxis": "x2",
|
|
"y": [
|
|
5.6,
|
|
5.6,
|
|
6.4,
|
|
6.4,
|
|
5.6
|
|
],
|
|
"yaxis": "y2"
|
|
},
|
|
{
|
|
"fill": "toself",
|
|
"fillcolor": "rgb(180, 151, 231)",
|
|
"hovertemplate": "<b>Task 9</b><br>Start: 102031.0<br>End: 102034.0<br>Duration: 3.0<br>Accelerator: 7<br><extra></extra>",
|
|
"line": {
|
|
"color": "black",
|
|
"width": 1
|
|
},
|
|
"name": "Task 9",
|
|
"showlegend": false,
|
|
"text": "Duration: 3.0",
|
|
"type": "scatter",
|
|
"x": [
|
|
50,
|
|
53,
|
|
53,
|
|
50,
|
|
50
|
|
],
|
|
"xaxis": "x2",
|
|
"y": [
|
|
8.6,
|
|
8.6,
|
|
9.4,
|
|
9.4,
|
|
8.6
|
|
],
|
|
"yaxis": "y2"
|
|
},
|
|
{
|
|
"fill": "toself",
|
|
"fillcolor": "rgb(179, 179, 179)",
|
|
"hovertemplate": "<b>Task 10</b><br>Start: 102034.0<br>End: 102073.0<br>Duration: 39.0<br>Accelerator: 7<br><extra></extra>",
|
|
"line": {
|
|
"color": "black",
|
|
"width": 1
|
|
},
|
|
"name": "Task 10",
|
|
"showlegend": false,
|
|
"text": "Duration: 39.0",
|
|
"type": "scatter",
|
|
"x": [
|
|
53,
|
|
92,
|
|
92,
|
|
53,
|
|
53
|
|
],
|
|
"xaxis": "x2",
|
|
"y": [
|
|
9.6,
|
|
9.6,
|
|
10.4,
|
|
10.4,
|
|
9.6
|
|
],
|
|
"yaxis": "y2"
|
|
},
|
|
{
|
|
"fill": "toself",
|
|
"fillcolor": "rgb(102, 197, 204)",
|
|
"hovertemplate": "<b>Task 11</b><br>Start: 102073.0<br>End: 102078.0<br>Duration: 5.0<br>Accelerator: 3<br><extra></extra>",
|
|
"line": {
|
|
"color": "black",
|
|
"width": 1
|
|
},
|
|
"name": "Task 11",
|
|
"showlegend": false,
|
|
"text": "Duration: 5.0",
|
|
"type": "scatter",
|
|
"x": [
|
|
92,
|
|
97,
|
|
97,
|
|
92,
|
|
92
|
|
],
|
|
"xaxis": "x2",
|
|
"y": [
|
|
10.6,
|
|
10.6,
|
|
11.4,
|
|
11.4,
|
|
10.6
|
|
],
|
|
"yaxis": "y2"
|
|
},
|
|
{
|
|
"fill": "toself",
|
|
"fillcolor": "rgb(246, 207, 113)",
|
|
"hovertemplate": "<b>Task 7</b><br>Start: 102103.0<br>End: 102108.0<br>Duration: 5.0<br>Accelerator: 3<br><extra></extra>",
|
|
"line": {
|
|
"color": "black",
|
|
"width": 1
|
|
},
|
|
"name": "Task 7",
|
|
"showlegend": false,
|
|
"text": "Duration: 5.0",
|
|
"type": "scatter",
|
|
"x": [
|
|
122,
|
|
127,
|
|
127,
|
|
122,
|
|
122
|
|
],
|
|
"xaxis": "x2",
|
|
"y": [
|
|
6.6,
|
|
6.6,
|
|
7.4,
|
|
7.4,
|
|
6.6
|
|
],
|
|
"yaxis": "y2"
|
|
},
|
|
{
|
|
"fill": "toself",
|
|
"fillcolor": "rgb(248, 156, 116)",
|
|
"hovertemplate": "<b>Task 12</b><br>Start: 102108.0<br>End: 102108.0<br>Duration: 0.0<br>Accelerator: 3<br><extra></extra>",
|
|
"line": {
|
|
"color": "black",
|
|
"width": 1
|
|
},
|
|
"name": "Task 12",
|
|
"showlegend": false,
|
|
"text": "Duration: 0.0",
|
|
"type": "scatter",
|
|
"x": [
|
|
127,
|
|
127,
|
|
127,
|
|
127,
|
|
127
|
|
],
|
|
"xaxis": "x2",
|
|
"y": [
|
|
11.6,
|
|
11.6,
|
|
12.4,
|
|
12.4,
|
|
11.6
|
|
],
|
|
"yaxis": "y2"
|
|
},
|
|
{
|
|
"fill": "toself",
|
|
"fillcolor": "rgb(220, 176, 242)",
|
|
"hovertemplate": "<b>Task 13</b><br>Start: 102108.0<br>End: 102115.0<br>Duration: 7.0<br>Accelerator: 3<br><extra></extra>",
|
|
"line": {
|
|
"color": "black",
|
|
"width": 1
|
|
},
|
|
"name": "Task 13",
|
|
"showlegend": false,
|
|
"text": "Duration: 7.0",
|
|
"type": "scatter",
|
|
"x": [
|
|
127,
|
|
134,
|
|
134,
|
|
127,
|
|
127
|
|
],
|
|
"xaxis": "x2",
|
|
"y": [
|
|
12.6,
|
|
12.6,
|
|
13.4,
|
|
13.4,
|
|
12.6
|
|
],
|
|
"yaxis": "y2"
|
|
},
|
|
{
|
|
"fill": "toself",
|
|
"fillcolor": "rgb(135, 197, 95)",
|
|
"hovertemplate": "<b>Task 14</b><br>Start: 102115.0<br>End: 102116.0<br>Duration: 1.0<br>Accelerator: 3<br><extra></extra>",
|
|
"line": {
|
|
"color": "black",
|
|
"width": 1
|
|
},
|
|
"name": "Task 14",
|
|
"showlegend": false,
|
|
"text": "Duration: 1.0",
|
|
"type": "scatter",
|
|
"x": [
|
|
134,
|
|
135,
|
|
135,
|
|
134,
|
|
134
|
|
],
|
|
"xaxis": "x2",
|
|
"y": [
|
|
13.6,
|
|
13.6,
|
|
14.4,
|
|
14.4,
|
|
13.6
|
|
],
|
|
"yaxis": "y2"
|
|
},
|
|
{
|
|
"fill": "toself",
|
|
"fillcolor": "rgb(158, 185, 243)",
|
|
"hovertemplate": "<b>Task 15</b><br>Start: 102116.0<br>End: 102116.0<br>Duration: 0.0<br>Accelerator: 3<br><extra></extra>",
|
|
"line": {
|
|
"color": "black",
|
|
"width": 1
|
|
},
|
|
"name": "Task 15",
|
|
"showlegend": false,
|
|
"text": "Duration: 0.0",
|
|
"type": "scatter",
|
|
"x": [
|
|
135,
|
|
135,
|
|
135,
|
|
135,
|
|
135
|
|
],
|
|
"xaxis": "x2",
|
|
"y": [
|
|
14.6,
|
|
14.6,
|
|
15.4,
|
|
15.4,
|
|
14.6
|
|
],
|
|
"yaxis": "y2"
|
|
},
|
|
{
|
|
"fill": "toself",
|
|
"fillcolor": "rgb(254, 136, 177)",
|
|
"hovertemplate": "<b>Task 17</b><br>Start: 102116.0<br>End: 102117.0<br>Duration: 1.0<br>Accelerator: 2<br><extra></extra>",
|
|
"line": {
|
|
"color": "black",
|
|
"width": 1
|
|
},
|
|
"name": "Task 17",
|
|
"showlegend": false,
|
|
"text": "Duration: 1.0",
|
|
"type": "scatter",
|
|
"x": [
|
|
135,
|
|
136,
|
|
136,
|
|
135,
|
|
135
|
|
],
|
|
"xaxis": "x2",
|
|
"y": [
|
|
16.6,
|
|
16.6,
|
|
17.4,
|
|
17.4,
|
|
16.6
|
|
],
|
|
"yaxis": "y2"
|
|
},
|
|
{
|
|
"fill": "toself",
|
|
"fillcolor": "rgb(201, 219, 116)",
|
|
"hovertemplate": "<b>Task 16</b><br>Start: 102116.0<br>End: 102130.0<br>Duration: 14.0<br>Accelerator: 3<br><extra></extra>",
|
|
"line": {
|
|
"color": "black",
|
|
"width": 1
|
|
},
|
|
"name": "Task 16",
|
|
"showlegend": false,
|
|
"text": "Duration: 14.0",
|
|
"type": "scatter",
|
|
"x": [
|
|
135,
|
|
149,
|
|
149,
|
|
135,
|
|
135
|
|
],
|
|
"xaxis": "x2",
|
|
"y": [
|
|
15.6,
|
|
15.6,
|
|
16.4,
|
|
16.4,
|
|
15.6
|
|
],
|
|
"yaxis": "y2"
|
|
},
|
|
{
|
|
"fill": "toself",
|
|
"fillcolor": "rgb(139, 224, 164)",
|
|
"hovertemplate": "<b>Task 22</b><br>Start: 102117.0<br>End: 102118.0<br>Duration: 1.0<br>Accelerator: 2<br><extra></extra>",
|
|
"line": {
|
|
"color": "black",
|
|
"width": 1
|
|
},
|
|
"name": "Task 22",
|
|
"showlegend": false,
|
|
"text": "Duration: 1.0",
|
|
"type": "scatter",
|
|
"x": [
|
|
136,
|
|
137,
|
|
137,
|
|
136,
|
|
136
|
|
],
|
|
"xaxis": "x2",
|
|
"y": [
|
|
21.6,
|
|
21.6,
|
|
22.4,
|
|
22.4,
|
|
21.6
|
|
],
|
|
"yaxis": "y2"
|
|
},
|
|
{
|
|
"fill": "toself",
|
|
"fillcolor": "rgb(180, 151, 231)",
|
|
"hovertemplate": "<b>Task 18</b><br>Start: 102118.0<br>End: 102120.0<br>Duration: 2.0<br>Accelerator: 2<br><extra></extra>",
|
|
"line": {
|
|
"color": "black",
|
|
"width": 1
|
|
},
|
|
"name": "Task 18",
|
|
"showlegend": false,
|
|
"text": "Duration: 2.0",
|
|
"type": "scatter",
|
|
"x": [
|
|
137,
|
|
139,
|
|
139,
|
|
137,
|
|
137
|
|
],
|
|
"xaxis": "x2",
|
|
"y": [
|
|
17.6,
|
|
17.6,
|
|
18.4,
|
|
18.4,
|
|
17.6
|
|
],
|
|
"yaxis": "y2"
|
|
},
|
|
{
|
|
"fill": "toself",
|
|
"fillcolor": "rgb(179, 179, 179)",
|
|
"hovertemplate": "<b>Task 23</b><br>Start: 102120.0<br>End: 102121.0<br>Duration: 1.0<br>Accelerator: 2<br><extra></extra>",
|
|
"line": {
|
|
"color": "black",
|
|
"width": 1
|
|
},
|
|
"name": "Task 23",
|
|
"showlegend": false,
|
|
"text": "Duration: 1.0",
|
|
"type": "scatter",
|
|
"x": [
|
|
139,
|
|
140,
|
|
140,
|
|
139,
|
|
139
|
|
],
|
|
"xaxis": "x2",
|
|
"y": [
|
|
22.6,
|
|
22.6,
|
|
23.4,
|
|
23.4,
|
|
22.6
|
|
],
|
|
"yaxis": "y2"
|
|
},
|
|
{
|
|
"fill": "toself",
|
|
"fillcolor": "rgb(102, 197, 204)",
|
|
"hovertemplate": "<b>Task 19</b><br>Start: 102121.0<br>End: 102122.0<br>Duration: 1.0<br>Accelerator: 2<br><extra></extra>",
|
|
"line": {
|
|
"color": "black",
|
|
"width": 1
|
|
},
|
|
"name": "Task 19",
|
|
"showlegend": false,
|
|
"text": "Duration: 1.0",
|
|
"type": "scatter",
|
|
"x": [
|
|
140,
|
|
141,
|
|
141,
|
|
140,
|
|
140
|
|
],
|
|
"xaxis": "x2",
|
|
"y": [
|
|
18.6,
|
|
18.6,
|
|
19.4,
|
|
19.4,
|
|
18.6
|
|
],
|
|
"yaxis": "y2"
|
|
},
|
|
{
|
|
"fill": "toself",
|
|
"fillcolor": "rgb(246, 207, 113)",
|
|
"hovertemplate": "<b>Task 20</b><br>Start: 102122.0<br>End: 102124.0<br>Duration: 2.0<br>Accelerator: 2<br><extra></extra>",
|
|
"line": {
|
|
"color": "black",
|
|
"width": 1
|
|
},
|
|
"name": "Task 20",
|
|
"showlegend": false,
|
|
"text": "Duration: 2.0",
|
|
"type": "scatter",
|
|
"x": [
|
|
141,
|
|
143,
|
|
143,
|
|
141,
|
|
141
|
|
],
|
|
"xaxis": "x2",
|
|
"y": [
|
|
19.6,
|
|
19.6,
|
|
20.4,
|
|
20.4,
|
|
19.6
|
|
],
|
|
"yaxis": "y2"
|
|
},
|
|
{
|
|
"fill": "toself",
|
|
"fillcolor": "rgb(248, 156, 116)",
|
|
"hovertemplate": "<b>Task 21</b><br>Start: 102124.0<br>End: 102126.0<br>Duration: 2.0<br>Accelerator: 2<br><extra></extra>",
|
|
"line": {
|
|
"color": "black",
|
|
"width": 1
|
|
},
|
|
"name": "Task 21",
|
|
"showlegend": false,
|
|
"text": "Duration: 2.0",
|
|
"type": "scatter",
|
|
"x": [
|
|
143,
|
|
145,
|
|
145,
|
|
143,
|
|
143
|
|
],
|
|
"xaxis": "x2",
|
|
"y": [
|
|
20.6,
|
|
20.6,
|
|
21.4,
|
|
21.4,
|
|
20.6
|
|
],
|
|
"yaxis": "y2"
|
|
},
|
|
{
|
|
"fill": "toself",
|
|
"fillcolor": "rgb(220, 176, 242)",
|
|
"hovertemplate": "<b>Task 24</b><br>Start: 102130.0<br>End: 102130.0<br>Duration: 0.0<br>Accelerator: 2<br><extra></extra>",
|
|
"line": {
|
|
"color": "black",
|
|
"width": 1
|
|
},
|
|
"name": "Task 24",
|
|
"showlegend": false,
|
|
"text": "Duration: 0.0",
|
|
"type": "scatter",
|
|
"x": [
|
|
149,
|
|
149,
|
|
149,
|
|
149,
|
|
149
|
|
],
|
|
"xaxis": "x2",
|
|
"y": [
|
|
23.6,
|
|
23.6,
|
|
24.4,
|
|
24.4,
|
|
23.6
|
|
],
|
|
"yaxis": "y2"
|
|
},
|
|
{
|
|
"fill": "toself",
|
|
"fillcolor": "rgb(135, 197, 95)",
|
|
"hovertemplate": "<b>Task 25</b><br>Start: 102130.0<br>End: 102131.0<br>Duration: 1.0<br>Accelerator: 2<br><extra></extra>",
|
|
"line": {
|
|
"color": "black",
|
|
"width": 1
|
|
},
|
|
"name": "Task 25",
|
|
"showlegend": false,
|
|
"text": "Duration: 1.0",
|
|
"type": "scatter",
|
|
"x": [
|
|
149,
|
|
150,
|
|
150,
|
|
149,
|
|
149
|
|
],
|
|
"xaxis": "x2",
|
|
"y": [
|
|
24.6,
|
|
24.6,
|
|
25.4,
|
|
25.4,
|
|
24.6
|
|
],
|
|
"yaxis": "y2"
|
|
},
|
|
{
|
|
"fill": "toself",
|
|
"fillcolor": "rgb(158, 185, 243)",
|
|
"hovertemplate": "<b>Task 31</b><br>Start: 102131.0<br>End: 102132.0<br>Duration: 1.0<br>Accelerator: 2<br><extra></extra>",
|
|
"line": {
|
|
"color": "black",
|
|
"width": 1
|
|
},
|
|
"name": "Task 31",
|
|
"showlegend": false,
|
|
"text": "Duration: 1.0",
|
|
"type": "scatter",
|
|
"x": [
|
|
150,
|
|
151,
|
|
151,
|
|
150,
|
|
150
|
|
],
|
|
"xaxis": "x2",
|
|
"y": [
|
|
30.6,
|
|
30.6,
|
|
31.4,
|
|
31.4,
|
|
30.6
|
|
],
|
|
"yaxis": "y2"
|
|
},
|
|
{
|
|
"fill": "toself",
|
|
"fillcolor": "rgb(254, 136, 177)",
|
|
"hovertemplate": "<b>Task 28</b><br>Start: 102132.0<br>End: 102133.0<br>Duration: 1.0<br>Accelerator: 2<br><extra></extra>",
|
|
"line": {
|
|
"color": "black",
|
|
"width": 1
|
|
},
|
|
"name": "Task 28",
|
|
"showlegend": false,
|
|
"text": "Duration: 1.0",
|
|
"type": "scatter",
|
|
"x": [
|
|
151,
|
|
152,
|
|
152,
|
|
151,
|
|
151
|
|
],
|
|
"xaxis": "x2",
|
|
"y": [
|
|
27.6,
|
|
27.6,
|
|
28.4,
|
|
28.4,
|
|
27.6
|
|
],
|
|
"yaxis": "y2"
|
|
},
|
|
{
|
|
"fill": "toself",
|
|
"fillcolor": "rgb(201, 219, 116)",
|
|
"hovertemplate": "<b>Task 32</b><br>Start: 102133.0<br>End: 102134.0<br>Duration: 1.0<br>Accelerator: 2<br><extra></extra>",
|
|
"line": {
|
|
"color": "black",
|
|
"width": 1
|
|
},
|
|
"name": "Task 32",
|
|
"showlegend": false,
|
|
"text": "Duration: 1.0",
|
|
"type": "scatter",
|
|
"x": [
|
|
152,
|
|
153,
|
|
153,
|
|
152,
|
|
152
|
|
],
|
|
"xaxis": "x2",
|
|
"y": [
|
|
31.6,
|
|
31.6,
|
|
32.4,
|
|
32.4,
|
|
31.6
|
|
],
|
|
"yaxis": "y2"
|
|
},
|
|
{
|
|
"fill": "toself",
|
|
"fillcolor": "rgb(139, 224, 164)",
|
|
"hovertemplate": "<b>Task 29</b><br>Start: 102134.0<br>End: 102136.0<br>Duration: 2.0<br>Accelerator: 2<br><extra></extra>",
|
|
"line": {
|
|
"color": "black",
|
|
"width": 1
|
|
},
|
|
"name": "Task 29",
|
|
"showlegend": false,
|
|
"text": "Duration: 2.0",
|
|
"type": "scatter",
|
|
"x": [
|
|
153,
|
|
155,
|
|
155,
|
|
153,
|
|
153
|
|
],
|
|
"xaxis": "x2",
|
|
"y": [
|
|
28.6,
|
|
28.6,
|
|
29.4,
|
|
29.4,
|
|
28.6
|
|
],
|
|
"yaxis": "y2"
|
|
},
|
|
{
|
|
"fill": "toself",
|
|
"fillcolor": "rgb(180, 151, 231)",
|
|
"hovertemplate": "<b>Task 26</b><br>Start: 102136.0<br>End: 102137.0<br>Duration: 1.0<br>Accelerator: 2<br><extra></extra>",
|
|
"line": {
|
|
"color": "black",
|
|
"width": 1
|
|
},
|
|
"name": "Task 26",
|
|
"showlegend": false,
|
|
"text": "Duration: 1.0",
|
|
"type": "scatter",
|
|
"x": [
|
|
155,
|
|
156,
|
|
156,
|
|
155,
|
|
155
|
|
],
|
|
"xaxis": "x2",
|
|
"y": [
|
|
25.6,
|
|
25.6,
|
|
26.4,
|
|
26.4,
|
|
25.6
|
|
],
|
|
"yaxis": "y2"
|
|
},
|
|
{
|
|
"fill": "toself",
|
|
"fillcolor": "rgb(179, 179, 179)",
|
|
"hovertemplate": "<b>Task 30</b><br>Start: 102137.0<br>End: 102139.0<br>Duration: 2.0<br>Accelerator: 2<br><extra></extra>",
|
|
"line": {
|
|
"color": "black",
|
|
"width": 1
|
|
},
|
|
"name": "Task 30",
|
|
"showlegend": false,
|
|
"text": "Duration: 2.0",
|
|
"type": "scatter",
|
|
"x": [
|
|
156,
|
|
158,
|
|
158,
|
|
156,
|
|
156
|
|
],
|
|
"xaxis": "x2",
|
|
"y": [
|
|
29.6,
|
|
29.6,
|
|
30.4,
|
|
30.4,
|
|
29.6
|
|
],
|
|
"yaxis": "y2"
|
|
},
|
|
{
|
|
"fill": "toself",
|
|
"fillcolor": "rgb(102, 197, 204)",
|
|
"hovertemplate": "<b>Task 27</b><br>Start: 102139.0<br>End: 102141.0<br>Duration: 2.0<br>Accelerator: 2<br><extra></extra>",
|
|
"line": {
|
|
"color": "black",
|
|
"width": 1
|
|
},
|
|
"name": "Task 27",
|
|
"showlegend": false,
|
|
"text": "Duration: 2.0",
|
|
"type": "scatter",
|
|
"x": [
|
|
158,
|
|
160,
|
|
160,
|
|
158,
|
|
158
|
|
],
|
|
"xaxis": "x2",
|
|
"y": [
|
|
26.6,
|
|
26.6,
|
|
27.4,
|
|
27.4,
|
|
26.6
|
|
],
|
|
"yaxis": "y2"
|
|
},
|
|
{
|
|
"fill": "toself",
|
|
"fillcolor": "rgb(246, 207, 113)",
|
|
"hovertemplate": "<b>Task 33</b><br>Start: 102141.0<br>End: 102141.0<br>Duration: 0.0<br>Accelerator: 2<br><extra></extra>",
|
|
"line": {
|
|
"color": "black",
|
|
"width": 1
|
|
},
|
|
"name": "Task 33",
|
|
"showlegend": false,
|
|
"text": "Duration: 0.0",
|
|
"type": "scatter",
|
|
"x": [
|
|
160,
|
|
160,
|
|
160,
|
|
160,
|
|
160
|
|
],
|
|
"xaxis": "x2",
|
|
"y": [
|
|
32.6,
|
|
32.6,
|
|
33.4,
|
|
33.4,
|
|
32.6
|
|
],
|
|
"yaxis": "y2"
|
|
},
|
|
{
|
|
"fill": "toself",
|
|
"fillcolor": "rgb(248, 156, 116)",
|
|
"hovertemplate": "<b>Task 35</b><br>Start: 102141.0<br>End: 102142.0<br>Duration: 1.0<br>Accelerator: 1<br><extra></extra>",
|
|
"line": {
|
|
"color": "black",
|
|
"width": 1
|
|
},
|
|
"name": "Task 35",
|
|
"showlegend": false,
|
|
"text": "Duration: 1.0",
|
|
"type": "scatter",
|
|
"x": [
|
|
160,
|
|
161,
|
|
161,
|
|
160,
|
|
160
|
|
],
|
|
"xaxis": "x2",
|
|
"y": [
|
|
34.6,
|
|
34.6,
|
|
35.4,
|
|
35.4,
|
|
34.6
|
|
],
|
|
"yaxis": "y2"
|
|
},
|
|
{
|
|
"fill": "toself",
|
|
"fillcolor": "rgb(220, 176, 242)",
|
|
"hovertemplate": "<b>Task 34</b><br>Start: 102141.0<br>End: 102155.0<br>Duration: 14.0<br>Accelerator: 2<br><extra></extra>",
|
|
"line": {
|
|
"color": "black",
|
|
"width": 1
|
|
},
|
|
"name": "Task 34",
|
|
"showlegend": false,
|
|
"text": "Duration: 14.0",
|
|
"type": "scatter",
|
|
"x": [
|
|
160,
|
|
174,
|
|
174,
|
|
160,
|
|
160
|
|
],
|
|
"xaxis": "x2",
|
|
"y": [
|
|
33.6,
|
|
33.6,
|
|
34.4,
|
|
34.4,
|
|
33.6
|
|
],
|
|
"yaxis": "y2"
|
|
},
|
|
{
|
|
"fill": "toself",
|
|
"fillcolor": "rgb(135, 197, 95)",
|
|
"hovertemplate": "<b>Task 40</b><br>Start: 102142.0<br>End: 102143.0<br>Duration: 1.0<br>Accelerator: 1<br><extra></extra>",
|
|
"line": {
|
|
"color": "black",
|
|
"width": 1
|
|
},
|
|
"name": "Task 40",
|
|
"showlegend": false,
|
|
"text": "Duration: 1.0",
|
|
"type": "scatter",
|
|
"x": [
|
|
161,
|
|
162,
|
|
162,
|
|
161,
|
|
161
|
|
],
|
|
"xaxis": "x2",
|
|
"y": [
|
|
39.6,
|
|
39.6,
|
|
40.4,
|
|
40.4,
|
|
39.6
|
|
],
|
|
"yaxis": "y2"
|
|
},
|
|
{
|
|
"fill": "toself",
|
|
"fillcolor": "rgb(158, 185, 243)",
|
|
"hovertemplate": "<b>Task 36</b><br>Start: 102143.0<br>End: 102145.0<br>Duration: 2.0<br>Accelerator: 1<br><extra></extra>",
|
|
"line": {
|
|
"color": "black",
|
|
"width": 1
|
|
},
|
|
"name": "Task 36",
|
|
"showlegend": false,
|
|
"text": "Duration: 2.0",
|
|
"type": "scatter",
|
|
"x": [
|
|
162,
|
|
164,
|
|
164,
|
|
162,
|
|
162
|
|
],
|
|
"xaxis": "x2",
|
|
"y": [
|
|
35.6,
|
|
35.6,
|
|
36.4,
|
|
36.4,
|
|
35.6
|
|
],
|
|
"yaxis": "y2"
|
|
},
|
|
{
|
|
"fill": "toself",
|
|
"fillcolor": "rgb(254, 136, 177)",
|
|
"hovertemplate": "<b>Task 41</b><br>Start: 102145.0<br>End: 102146.0<br>Duration: 1.0<br>Accelerator: 1<br><extra></extra>",
|
|
"line": {
|
|
"color": "black",
|
|
"width": 1
|
|
},
|
|
"name": "Task 41",
|
|
"showlegend": false,
|
|
"text": "Duration: 1.0",
|
|
"type": "scatter",
|
|
"x": [
|
|
164,
|
|
165,
|
|
165,
|
|
164,
|
|
164
|
|
],
|
|
"xaxis": "x2",
|
|
"y": [
|
|
40.6,
|
|
40.6,
|
|
41.4,
|
|
41.4,
|
|
40.6
|
|
],
|
|
"yaxis": "y2"
|
|
},
|
|
{
|
|
"fill": "toself",
|
|
"fillcolor": "rgb(201, 219, 116)",
|
|
"hovertemplate": "<b>Task 37</b><br>Start: 102146.0<br>End: 102147.0<br>Duration: 1.0<br>Accelerator: 1<br><extra></extra>",
|
|
"line": {
|
|
"color": "black",
|
|
"width": 1
|
|
},
|
|
"name": "Task 37",
|
|
"showlegend": false,
|
|
"text": "Duration: 1.0",
|
|
"type": "scatter",
|
|
"x": [
|
|
165,
|
|
166,
|
|
166,
|
|
165,
|
|
165
|
|
],
|
|
"xaxis": "x2",
|
|
"y": [
|
|
36.6,
|
|
36.6,
|
|
37.4,
|
|
37.4,
|
|
36.6
|
|
],
|
|
"yaxis": "y2"
|
|
},
|
|
{
|
|
"fill": "toself",
|
|
"fillcolor": "rgb(139, 224, 164)",
|
|
"hovertemplate": "<b>Task 38</b><br>Start: 102147.0<br>End: 102149.0<br>Duration: 2.0<br>Accelerator: 1<br><extra></extra>",
|
|
"line": {
|
|
"color": "black",
|
|
"width": 1
|
|
},
|
|
"name": "Task 38",
|
|
"showlegend": false,
|
|
"text": "Duration: 2.0",
|
|
"type": "scatter",
|
|
"x": [
|
|
166,
|
|
168,
|
|
168,
|
|
166,
|
|
166
|
|
],
|
|
"xaxis": "x2",
|
|
"y": [
|
|
37.6,
|
|
37.6,
|
|
38.4,
|
|
38.4,
|
|
37.6
|
|
],
|
|
"yaxis": "y2"
|
|
},
|
|
{
|
|
"fill": "toself",
|
|
"fillcolor": "rgb(180, 151, 231)",
|
|
"hovertemplate": "<b>Task 39</b><br>Start: 102149.0<br>End: 102151.0<br>Duration: 2.0<br>Accelerator: 1<br><extra></extra>",
|
|
"line": {
|
|
"color": "black",
|
|
"width": 1
|
|
},
|
|
"name": "Task 39",
|
|
"showlegend": false,
|
|
"text": "Duration: 2.0",
|
|
"type": "scatter",
|
|
"x": [
|
|
168,
|
|
170,
|
|
170,
|
|
168,
|
|
168
|
|
],
|
|
"xaxis": "x2",
|
|
"y": [
|
|
38.6,
|
|
38.6,
|
|
39.4,
|
|
39.4,
|
|
38.6
|
|
],
|
|
"yaxis": "y2"
|
|
},
|
|
{
|
|
"fill": "toself",
|
|
"fillcolor": "rgb(179, 179, 179)",
|
|
"hovertemplate": "<b>Task 42</b><br>Start: 102155.0<br>End: 102155.0<br>Duration: 0.0<br>Accelerator: 1<br><extra></extra>",
|
|
"line": {
|
|
"color": "black",
|
|
"width": 1
|
|
},
|
|
"name": "Task 42",
|
|
"showlegend": false,
|
|
"text": "Duration: 0.0",
|
|
"type": "scatter",
|
|
"x": [
|
|
174,
|
|
174,
|
|
174,
|
|
174,
|
|
174
|
|
],
|
|
"xaxis": "x2",
|
|
"y": [
|
|
41.6,
|
|
41.6,
|
|
42.4,
|
|
42.4,
|
|
41.6
|
|
],
|
|
"yaxis": "y2"
|
|
},
|
|
{
|
|
"fill": "toself",
|
|
"fillcolor": "rgb(102, 197, 204)",
|
|
"hovertemplate": "<b>Task 43</b><br>Start: 102155.0<br>End: 102156.0<br>Duration: 1.0<br>Accelerator: 1<br><extra></extra>",
|
|
"line": {
|
|
"color": "black",
|
|
"width": 1
|
|
},
|
|
"name": "Task 43",
|
|
"showlegend": false,
|
|
"text": "Duration: 1.0",
|
|
"type": "scatter",
|
|
"x": [
|
|
174,
|
|
175,
|
|
175,
|
|
174,
|
|
174
|
|
],
|
|
"xaxis": "x2",
|
|
"y": [
|
|
42.6,
|
|
42.6,
|
|
43.4,
|
|
43.4,
|
|
42.6
|
|
],
|
|
"yaxis": "y2"
|
|
},
|
|
{
|
|
"fill": "toself",
|
|
"fillcolor": "rgb(246, 207, 113)",
|
|
"hovertemplate": "<b>Task 49</b><br>Start: 102156.0<br>End: 102157.0<br>Duration: 1.0<br>Accelerator: 1<br><extra></extra>",
|
|
"line": {
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"color": "black",
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"width": 1
|
|
},
|
|
"name": "Task 49",
|
|
"showlegend": false,
|
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"text": "Duration: 1.0",
|
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"type": "scatter",
|
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"x": [
|
|
175,
|
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176,
|
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176,
|
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175,
|
|
175
|
|
],
|
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"xaxis": "x2",
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"y": [
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48.6,
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48.6,
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49.4,
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49.4,
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48.6
|
|
],
|
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"yaxis": "y2"
|
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},
|
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{
|
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"fill": "toself",
|
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"fillcolor": "rgb(248, 156, 116)",
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"hovertemplate": "<b>Task 46</b><br>Start: 102157.0<br>End: 102158.0<br>Duration: 1.0<br>Accelerator: 1<br><extra></extra>",
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"line": {
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"color": "black",
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"width": 1
|
|
},
|
|
"name": "Task 46",
|
|
"showlegend": false,
|
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"text": "Duration: 1.0",
|
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"type": "scatter",
|
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"x": [
|
|
176,
|
|
177,
|
|
177,
|
|
176,
|
|
176
|
|
],
|
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"xaxis": "x2",
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"y": [
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45.6,
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45.6,
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46.4,
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46.4,
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45.6
|
|
],
|
|
"yaxis": "y2"
|
|
},
|
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{
|
|
"fill": "toself",
|
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"fillcolor": "rgb(220, 176, 242)",
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"hovertemplate": "<b>Task 50</b><br>Start: 102158.0<br>End: 102159.0<br>Duration: 1.0<br>Accelerator: 1<br><extra></extra>",
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"line": {
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"color": "black",
|
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"width": 1
|
|
},
|
|
"name": "Task 50",
|
|
"showlegend": false,
|
|
"text": "Duration: 1.0",
|
|
"type": "scatter",
|
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"x": [
|
|
177,
|
|
178,
|
|
178,
|
|
177,
|
|
177
|
|
],
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"xaxis": "x2",
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"y": [
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49.6,
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49.6,
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50.4,
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50.4,
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49.6
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|
],
|
|
"yaxis": "y2"
|
|
},
|
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{
|
|
"fill": "toself",
|
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"fillcolor": "rgb(135, 197, 95)",
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"hovertemplate": "<b>Task 47</b><br>Start: 102159.0<br>End: 102161.0<br>Duration: 2.0<br>Accelerator: 1<br><extra></extra>",
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"line": {
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"color": "black",
|
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"width": 1
|
|
},
|
|
"name": "Task 47",
|
|
"showlegend": false,
|
|
"text": "Duration: 2.0",
|
|
"type": "scatter",
|
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"x": [
|
|
178,
|
|
180,
|
|
180,
|
|
178,
|
|
178
|
|
],
|
|
"xaxis": "x2",
|
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"y": [
|
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46.6,
|
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46.6,
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47.4,
|
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47.4,
|
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46.6
|
|
],
|
|
"yaxis": "y2"
|
|
},
|
|
{
|
|
"fill": "toself",
|
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"fillcolor": "rgb(158, 185, 243)",
|
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"hovertemplate": "<b>Task 44</b><br>Start: 102161.0<br>End: 102162.0<br>Duration: 1.0<br>Accelerator: 1<br><extra></extra>",
|
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"line": {
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"color": "black",
|
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"width": 1
|
|
},
|
|
"name": "Task 44",
|
|
"showlegend": false,
|
|
"text": "Duration: 1.0",
|
|
"type": "scatter",
|
|
"x": [
|
|
180,
|
|
181,
|
|
181,
|
|
180,
|
|
180
|
|
],
|
|
"xaxis": "x2",
|
|
"y": [
|
|
43.6,
|
|
43.6,
|
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44.4,
|
|
44.4,
|
|
43.6
|
|
],
|
|
"yaxis": "y2"
|
|
},
|
|
{
|
|
"fill": "toself",
|
|
"fillcolor": "rgb(254, 136, 177)",
|
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"hovertemplate": "<b>Task 48</b><br>Start: 102162.0<br>End: 102164.0<br>Duration: 2.0<br>Accelerator: 1<br><extra></extra>",
|
|
"line": {
|
|
"color": "black",
|
|
"width": 1
|
|
},
|
|
"name": "Task 48",
|
|
"showlegend": false,
|
|
"text": "Duration: 2.0",
|
|
"type": "scatter",
|
|
"x": [
|
|
181,
|
|
183,
|
|
183,
|
|
181,
|
|
181
|
|
],
|
|
"xaxis": "x2",
|
|
"y": [
|
|
47.6,
|
|
47.6,
|
|
48.4,
|
|
48.4,
|
|
47.6
|
|
],
|
|
"yaxis": "y2"
|
|
},
|
|
{
|
|
"fill": "toself",
|
|
"fillcolor": "rgb(201, 219, 116)",
|
|
"hovertemplate": "<b>Task 45</b><br>Start: 102164.0<br>End: 102166.0<br>Duration: 2.0<br>Accelerator: 1<br><extra></extra>",
|
|
"line": {
|
|
"color": "black",
|
|
"width": 1
|
|
},
|
|
"name": "Task 45",
|
|
"showlegend": false,
|
|
"text": "Duration: 2.0",
|
|
"type": "scatter",
|
|
"x": [
|
|
183,
|
|
185,
|
|
185,
|
|
183,
|
|
183
|
|
],
|
|
"xaxis": "x2",
|
|
"y": [
|
|
44.6,
|
|
44.6,
|
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45.4,
|
|
45.4,
|
|
44.6
|
|
],
|
|
"yaxis": "y2"
|
|
},
|
|
{
|
|
"fill": "toself",
|
|
"fillcolor": "rgb(139, 224, 164)",
|
|
"hovertemplate": "<b>Task 51</b><br>Start: 102166.0<br>End: 102166.0<br>Duration: 0.0<br>Accelerator: 1<br><extra></extra>",
|
|
"line": {
|
|
"color": "black",
|
|
"width": 1
|
|
},
|
|
"name": "Task 51",
|
|
"showlegend": false,
|
|
"text": "Duration: 0.0",
|
|
"type": "scatter",
|
|
"x": [
|
|
185,
|
|
185,
|
|
185,
|
|
185,
|
|
185
|
|
],
|
|
"xaxis": "x2",
|
|
"y": [
|
|
50.6,
|
|
50.6,
|
|
51.4,
|
|
51.4,
|
|
50.6
|
|
],
|
|
"yaxis": "y2"
|
|
},
|
|
{
|
|
"fill": "toself",
|
|
"fillcolor": "rgb(180, 151, 231)",
|
|
"hovertemplate": "<b>Task 53</b><br>Start: 102166.0<br>End: 102168.0<br>Duration: 2.0<br>Accelerator: 0<br><extra></extra>",
|
|
"line": {
|
|
"color": "black",
|
|
"width": 1
|
|
},
|
|
"name": "Task 53",
|
|
"showlegend": false,
|
|
"text": "Duration: 2.0",
|
|
"type": "scatter",
|
|
"x": [
|
|
185,
|
|
187,
|
|
187,
|
|
185,
|
|
185
|
|
],
|
|
"xaxis": "x2",
|
|
"y": [
|
|
52.6,
|
|
52.6,
|
|
53.4,
|
|
53.4,
|
|
52.6
|
|
],
|
|
"yaxis": "y2"
|
|
},
|
|
{
|
|
"fill": "toself",
|
|
"fillcolor": "rgb(179, 179, 179)",
|
|
"hovertemplate": "<b>Task 52</b><br>Start: 102166.0<br>End: 102185.0<br>Duration: 19.0<br>Accelerator: 1<br><extra></extra>",
|
|
"line": {
|
|
"color": "black",
|
|
"width": 1
|
|
},
|
|
"name": "Task 52",
|
|
"showlegend": false,
|
|
"text": "Duration: 19.0",
|
|
"type": "scatter",
|
|
"x": [
|
|
185,
|
|
204,
|
|
204,
|
|
185,
|
|
185
|
|
],
|
|
"xaxis": "x2",
|
|
"y": [
|
|
51.6,
|
|
51.6,
|
|
52.4,
|
|
52.4,
|
|
51.6
|
|
],
|
|
"yaxis": "y2"
|
|
},
|
|
{
|
|
"fill": "toself",
|
|
"fillcolor": "rgb(102, 197, 204)",
|
|
"hovertemplate": "<b>Task 56</b><br>Start: 102168.0<br>End: 102169.0<br>Duration: 1.0<br>Accelerator: 0<br><extra></extra>",
|
|
"line": {
|
|
"color": "black",
|
|
"width": 1
|
|
},
|
|
"name": "Task 56",
|
|
"showlegend": false,
|
|
"text": "Duration: 1.0",
|
|
"type": "scatter",
|
|
"x": [
|
|
187,
|
|
188,
|
|
188,
|
|
187,
|
|
187
|
|
],
|
|
"xaxis": "x2",
|
|
"y": [
|
|
55.6,
|
|
55.6,
|
|
56.4,
|
|
56.4,
|
|
55.6
|
|
],
|
|
"yaxis": "y2"
|
|
},
|
|
{
|
|
"fill": "toself",
|
|
"fillcolor": "rgb(246, 207, 113)",
|
|
"hovertemplate": "<b>Task 54</b><br>Start: 102169.0<br>End: 102177.0<br>Duration: 8.0<br>Accelerator: 0<br><extra></extra>",
|
|
"line": {
|
|
"color": "black",
|
|
"width": 1
|
|
},
|
|
"name": "Task 54",
|
|
"showlegend": false,
|
|
"text": "Duration: 8.0",
|
|
"type": "scatter",
|
|
"x": [
|
|
188,
|
|
196,
|
|
196,
|
|
188,
|
|
188
|
|
],
|
|
"xaxis": "x2",
|
|
"y": [
|
|
53.6,
|
|
53.6,
|
|
54.4,
|
|
54.4,
|
|
53.6
|
|
],
|
|
"yaxis": "y2"
|
|
},
|
|
{
|
|
"fill": "toself",
|
|
"fillcolor": "rgb(248, 156, 116)",
|
|
"hovertemplate": "<b>Task 55</b><br>Start: 102177.0<br>End: 102180.0<br>Duration: 3.0<br>Accelerator: 0<br><extra></extra>",
|
|
"line": {
|
|
"color": "black",
|
|
"width": 1
|
|
},
|
|
"name": "Task 55",
|
|
"showlegend": false,
|
|
"text": "Duration: 3.0",
|
|
"type": "scatter",
|
|
"x": [
|
|
196,
|
|
199,
|
|
199,
|
|
196,
|
|
196
|
|
],
|
|
"xaxis": "x2",
|
|
"y": [
|
|
54.6,
|
|
54.6,
|
|
55.4,
|
|
55.4,
|
|
54.6
|
|
],
|
|
"yaxis": "y2"
|
|
},
|
|
{
|
|
"fill": "toself",
|
|
"fillcolor": "rgb(220, 176, 242)",
|
|
"hovertemplate": "<b>Task 57</b><br>Start: 102185.0<br>End: 102185.0<br>Duration: 0.0<br>Accelerator: 0<br><extra></extra>",
|
|
"line": {
|
|
"color": "black",
|
|
"width": 1
|
|
},
|
|
"name": "Task 57",
|
|
"showlegend": false,
|
|
"text": "Duration: 0.0",
|
|
"type": "scatter",
|
|
"x": [
|
|
204,
|
|
204,
|
|
204,
|
|
204,
|
|
204
|
|
],
|
|
"xaxis": "x2",
|
|
"y": [
|
|
56.6,
|
|
56.6,
|
|
57.4,
|
|
57.4,
|
|
56.6
|
|
],
|
|
"yaxis": "y2"
|
|
},
|
|
{
|
|
"fill": "toself",
|
|
"fillcolor": "rgb(135, 197, 95)",
|
|
"hovertemplate": "<b>Task 62</b><br>Start: 102185.0<br>End: 102186.0<br>Duration: 1.0<br>Accelerator: 4<br><extra></extra>",
|
|
"line": {
|
|
"color": "black",
|
|
"width": 1
|
|
},
|
|
"name": "Task 62",
|
|
"showlegend": false,
|
|
"text": "Duration: 1.0",
|
|
"type": "scatter",
|
|
"x": [
|
|
204,
|
|
205,
|
|
205,
|
|
204,
|
|
204
|
|
],
|
|
"xaxis": "x2",
|
|
"y": [
|
|
61.6,
|
|
61.6,
|
|
62.4,
|
|
62.4,
|
|
61.6
|
|
],
|
|
"yaxis": "y2"
|
|
},
|
|
{
|
|
"fill": "toself",
|
|
"fillcolor": "rgb(158, 185, 243)",
|
|
"hovertemplate": "<b>Task 58</b><br>Start: 102185.0<br>End: 102187.0<br>Duration: 2.0<br>Accelerator: 0<br><extra></extra>",
|
|
"line": {
|
|
"color": "black",
|
|
"width": 1
|
|
},
|
|
"name": "Task 58",
|
|
"showlegend": false,
|
|
"text": "Duration: 2.0",
|
|
"type": "scatter",
|
|
"x": [
|
|
204,
|
|
206,
|
|
206,
|
|
204,
|
|
204
|
|
],
|
|
"xaxis": "x2",
|
|
"y": [
|
|
57.6,
|
|
57.6,
|
|
58.4,
|
|
58.4,
|
|
57.6
|
|
],
|
|
"yaxis": "y2"
|
|
},
|
|
{
|
|
"fill": "toself",
|
|
"fillcolor": "rgb(254, 136, 177)",
|
|
"hovertemplate": "<b>Task 63</b><br>Start: 102186.0<br>End: 102188.0<br>Duration: 2.0<br>Accelerator: 4<br><extra></extra>",
|
|
"line": {
|
|
"color": "black",
|
|
"width": 1
|
|
},
|
|
"name": "Task 63",
|
|
"showlegend": false,
|
|
"text": "Duration: 2.0",
|
|
"type": "scatter",
|
|
"x": [
|
|
205,
|
|
207,
|
|
207,
|
|
205,
|
|
205
|
|
],
|
|
"xaxis": "x2",
|
|
"y": [
|
|
62.6,
|
|
62.6,
|
|
63.4,
|
|
63.4,
|
|
62.6
|
|
],
|
|
"yaxis": "y2"
|
|
},
|
|
{
|
|
"fill": "toself",
|
|
"fillcolor": "rgb(201, 219, 116)",
|
|
"hovertemplate": "<b>Task 67</b><br>Start: 102187.0<br>End: 102188.0<br>Duration: 1.0<br>Accelerator: 0<br><extra></extra>",
|
|
"line": {
|
|
"color": "black",
|
|
"width": 1
|
|
},
|
|
"name": "Task 67",
|
|
"showlegend": false,
|
|
"text": "Duration: 1.0",
|
|
"type": "scatter",
|
|
"x": [
|
|
206,
|
|
207,
|
|
207,
|
|
206,
|
|
206
|
|
],
|
|
"xaxis": "x2",
|
|
"y": [
|
|
66.6,
|
|
66.6,
|
|
67.4,
|
|
67.4,
|
|
66.6
|
|
],
|
|
"yaxis": "y2"
|
|
},
|
|
{
|
|
"fill": "toself",
|
|
"fillcolor": "rgb(139, 224, 164)",
|
|
"hovertemplate": "<b>Task 59</b><br>Start: 102188.0<br>End: 102189.0<br>Duration: 1.0<br>Accelerator: 0<br><extra></extra>",
|
|
"line": {
|
|
"color": "black",
|
|
"width": 1
|
|
},
|
|
"name": "Task 59",
|
|
"showlegend": false,
|
|
"text": "Duration: 1.0",
|
|
"type": "scatter",
|
|
"x": [
|
|
207,
|
|
208,
|
|
208,
|
|
207,
|
|
207
|
|
],
|
|
"xaxis": "x2",
|
|
"y": [
|
|
58.6,
|
|
58.6,
|
|
59.4,
|
|
59.4,
|
|
58.6
|
|
],
|
|
"yaxis": "y2"
|
|
},
|
|
{
|
|
"fill": "toself",
|
|
"fillcolor": "rgb(180, 151, 231)",
|
|
"hovertemplate": "<b>Task 64</b><br>Start: 102188.0<br>End: 102197.0<br>Duration: 9.0<br>Accelerator: 4<br><extra></extra>",
|
|
"line": {
|
|
"color": "black",
|
|
"width": 1
|
|
},
|
|
"name": "Task 64",
|
|
"showlegend": false,
|
|
"text": "Duration: 9.0",
|
|
"type": "scatter",
|
|
"x": [
|
|
207,
|
|
216,
|
|
216,
|
|
207,
|
|
207
|
|
],
|
|
"xaxis": "x2",
|
|
"y": [
|
|
63.6,
|
|
63.6,
|
|
64.4,
|
|
64.4,
|
|
63.6
|
|
],
|
|
"yaxis": "y2"
|
|
},
|
|
{
|
|
"fill": "toself",
|
|
"fillcolor": "rgb(179, 179, 179)",
|
|
"hovertemplate": "<b>Task 68</b><br>Start: 102189.0<br>End: 102190.0<br>Duration: 1.0<br>Accelerator: 0<br><extra></extra>",
|
|
"line": {
|
|
"color": "black",
|
|
"width": 1
|
|
},
|
|
"name": "Task 68",
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"text": "Gantt Chart Comparison (Scaled to 0-1 Range)"
|
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},
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"xaxis": {
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|
"anchor": "y",
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|
"domain": [
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0,
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1
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],
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"title": {
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"text": "Scaled Time (0-1)"
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}
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},
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"xaxis2": {
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|
"anchor": "y2",
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|
"domain": [
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0,
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1
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],
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"title": {
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"text": "Scaled Time (0-1)"
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}
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},
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"yaxis": {
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"anchor": "x",
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|
"domain": [
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0.55,
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1
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],
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"title": {
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|
"text": "Task ID"
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|
}
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},
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"yaxis2": {
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|
"anchor": "x2",
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"domain": [
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0,
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0.45
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],
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"title": {
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"text": "Task ID"
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}
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}
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}
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}
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},
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"metadata": {},
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"output_type": "display_data"
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}
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],
|
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"source": [
|
|
"def create_gantt_comparison():\n",
|
|
" \"\"\"Create side-by-side Gantt charts for comparison\"\"\"\n",
|
|
" \n",
|
|
" # Create subplots\n",
|
|
" fig = make_subplots(\n",
|
|
" rows=2, cols=1,\n",
|
|
" subplot_titles=('Task Schedule (Original)', 'Simulation Results'),\n",
|
|
" vertical_spacing=0.1,\n",
|
|
" specs=[[{\"secondary_y\": False}], [{\"secondary_y\": False}]]\n",
|
|
" )\n",
|
|
" \n",
|
|
" # Colors for tasks\n",
|
|
" colors1 = px.colors.qualitative.Set3\n",
|
|
" colors2 = px.colors.qualitative.Pastel\n",
|
|
" \n",
|
|
" # Plot first dataset (normalized)\n",
|
|
" for i, row in df1.iterrows():\n",
|
|
" fig.add_trace(\n",
|
|
" go.Scatter(\n",
|
|
" x=[row['Start_Normalized'], row['End_Normalized'], row['End_Normalized'], row['Start_Normalized'], row['Start_Normalized']],\n",
|
|
" y=[row['Task_ID']-0.4, row['Task_ID']-0.4, row['Task_ID']+0.4, row['Task_ID']+0.4, row['Task_ID']-0.4],\n",
|
|
" fill='toself',\n",
|
|
" fillcolor=colors1[i % len(colors1)],\n",
|
|
" line=dict(color='black', width=1),\n",
|
|
" name=f\"Task {row['Task_ID']}\",\n",
|
|
" text=f\"Duration: {row['Duration']:.1f}\",\n",
|
|
" hovertemplate=f\"<b>Task {row['Task_ID']}</b><br>\" +\n",
|
|
" f\"Start: {row['Start']:.1f}<br>\" +\n",
|
|
" f\"End: {row['End']:.1f}<br>\" +\n",
|
|
" f\"Duration: {row['Duration']:.1f}<br>\" +\n",
|
|
" \"<extra></extra>\",\n",
|
|
" showlegend=False\n",
|
|
" ),\n",
|
|
" row=1, col=1\n",
|
|
" )\n",
|
|
" \n",
|
|
" # Plot second dataset (normalized)\n",
|
|
" for i, row in df2.iterrows():\n",
|
|
" fig.add_trace(\n",
|
|
" go.Scatter(\n",
|
|
" x=[row['Start_Normalized'], row['End_Normalized'], row['End_Normalized'], row['Start_Normalized'], row['Start_Normalized']],\n",
|
|
" y=[row['Task_ID']-0.4, row['Task_ID']-0.4, row['Task_ID']+0.4, row['Task_ID']+0.4, row['Task_ID']-0.4],\n",
|
|
" fill='toself',\n",
|
|
" fillcolor=colors2[i % len(colors2)],\n",
|
|
" line=dict(color='black', width=1),\n",
|
|
" name=f\"Task {row['Task_ID']}\",\n",
|
|
" text=f\"Duration: {row['Duration']:.1f}\",\n",
|
|
" hovertemplate=f\"<b>Task {row['Task_ID']}</b><br>\" +\n",
|
|
" f\"Start: {row['Start']:.1f}<br>\" +\n",
|
|
" f\"End: {row['End']:.1f}<br>\" +\n",
|
|
" f\"Duration: {row['Duration']:.1f}<br>\" +\n",
|
|
" f\"Accelerator: {row.get('accelerator', 'N/A')}<br>\" +\n",
|
|
" \"<extra></extra>\",\n",
|
|
" showlegend=False\n",
|
|
" ),\n",
|
|
" row=2, col=1\n",
|
|
" )\n",
|
|
" \n",
|
|
" # Update layout\n",
|
|
" fig.update_layout(\n",
|
|
" title=\"Gantt Chart Comparison (Normalized Time)\",\n",
|
|
" height=800,\n",
|
|
" showlegend=False\n",
|
|
" )\n",
|
|
" \n",
|
|
" fig.update_xaxes(title_text=\"Normalized Time\", row=1, col=1)\n",
|
|
" fig.update_xaxes(title_text=\"Normalized Time\", row=2, col=1)\n",
|
|
" fig.update_yaxes(title_text=\"Task ID\", row=1, col=1)\n",
|
|
" fig.update_yaxes(title_text=\"Task ID\", row=2, col=1)\n",
|
|
" \n",
|
|
" return fig\n",
|
|
"\n",
|
|
"def create_scaled_comparison():\n",
|
|
" \"\"\"Create comparison with both datasets scaled to 0-1 range\"\"\"\n",
|
|
" \n",
|
|
" fig = make_subplots(\n",
|
|
" rows=2, cols=1,\n",
|
|
" subplot_titles=('Task Schedule (Scaled 0-1)', 'Simulation Results (Scaled 0-1)'),\n",
|
|
" vertical_spacing=0.1\n",
|
|
" )\n",
|
|
" \n",
|
|
" # Plot first dataset (scaled)\n",
|
|
" for i, row in df1.iterrows():\n",
|
|
" fig.add_trace(\n",
|
|
" go.Scatter(\n",
|
|
" x=[row['Start_Scaled'], row['End_Scaled'], row['End_Scaled'], row['Start_Scaled'], row['Start_Scaled']],\n",
|
|
" y=[row['Task_ID']-0.4, row['Task_ID']-0.4, row['Task_ID']+0.4, row['Task_ID']+0.4, row['Task_ID']-0.4],\n",
|
|
" fill='toself',\n",
|
|
" fillcolor=px.colors.qualitative.Set3[i % len(px.colors.qualitative.Set3)],\n",
|
|
" line=dict(color='black', width=1),\n",
|
|
" name=f\"Task {row['Task_ID']}\",\n",
|
|
" hovertemplate=f\"<b>Task {row['Task_ID']}</b><br>\" +\n",
|
|
" f\"Scaled Start: {row['Start_Scaled']:.3f}<br>\" +\n",
|
|
" f\"Scaled End: {row['End_Scaled']:.3f}<br>\" +\n",
|
|
" f\"Scaled Duration: {row['Duration_Scaled']:.3f}<br>\" +\n",
|
|
" \"<extra></extra>\",\n",
|
|
" showlegend=False\n",
|
|
" ),\n",
|
|
" row=1, col=1\n",
|
|
" )\n",
|
|
" \n",
|
|
" # Plot second dataset (scaled)\n",
|
|
" for i, row in df2.iterrows():\n",
|
|
" fig.add_trace(\n",
|
|
" go.Scatter(\n",
|
|
" x=[row['Start_Scaled'], row['End_Scaled'], row['End_Scaled'], row['Start_Scaled'], row['Start_Scaled']],\n",
|
|
" y=[row['Task_ID']-0.4, row['Task_ID']-0.4, row['Task_ID']+0.4, row['Task_ID']+0.4, row['Task_ID']-0.4],\n",
|
|
" fill='toself',\n",
|
|
" fillcolor=px.colors.qualitative.Pastel[i % len(px.colors.qualitative.Pastel)],\n",
|
|
" line=dict(color='black', width=1),\n",
|
|
" name=f\"Task {row['Task_ID']}\",\n",
|
|
" hovertemplate=f\"<b>Task {row['Task_ID']}</b><br>\" +\n",
|
|
" f\"Scaled Start: {row['Start_Scaled']:.3f}<br>\" +\n",
|
|
" f\"Scaled End: {row['End_Scaled']:.3f}<br>\" +\n",
|
|
" f\"Scaled Duration: {row['Duration_Scaled']:.3f}<br>\" +\n",
|
|
" f\"Accelerator: {row.get('accelerator', 'N/A')}<br>\" +\n",
|
|
" \"<extra></extra>\",\n",
|
|
" showlegend=False\n",
|
|
" ),\n",
|
|
" row=2, col=1\n",
|
|
" )\n",
|
|
" \n",
|
|
" fig.update_layout(\n",
|
|
" title=\"Gantt Chart Comparison (Scaled to 0-1 Range)\",\n",
|
|
" height=800,\n",
|
|
" showlegend=False\n",
|
|
" )\n",
|
|
" \n",
|
|
" fig.update_xaxes(title_text=\"Scaled Time (0-1)\", row=1, col=1)\n",
|
|
" fig.update_xaxes(title_text=\"Scaled Time (0-1)\", row=2, col=1)\n",
|
|
" fig.update_yaxes(title_text=\"Task ID\", row=1, col=1)\n",
|
|
" fig.update_yaxes(title_text=\"Task ID\", row=2, col=1)\n",
|
|
" \n",
|
|
" return fig\n",
|
|
"\n",
|
|
"# Create and display the comparisons\n",
|
|
"gantt_fig = create_gantt_comparison()\n",
|
|
"gantt_fig.show()\n",
|
|
"\n",
|
|
"scaled_fig = create_scaled_comparison()\n",
|
|
"scaled_fig.show()"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 31,
|
|
"id": "12a7bea6",
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"name": "stdout",
|
|
"output_type": "stream",
|
|
"text": [
|
|
"=== DETAILED COMPARISON ANALYSIS ===\n",
|
|
"Common tasks between datasets: 70\n",
|
|
"Tasks only in Dataset 1: 0\n",
|
|
"Tasks only in Dataset 2: 1\n",
|
|
"\n",
|
|
"=== DURATION COMPARISON ===\n",
|
|
"Average duration difference: -2.70\n",
|
|
"Median duration difference: 0.00\n",
|
|
"Max duration difference: 0.00\n",
|
|
"Min duration difference: -53.00\n",
|
|
"\n",
|
|
"=== START TIME COMPARISON (Normalized) ===\n",
|
|
"Average start time difference: -104.69\n",
|
|
"Median start time difference: -114.00\n",
|
|
"\n",
|
|
"=== TASKS WITH LARGEST DIFFERENCES ===\n",
|
|
"Top 10 tasks with largest duration differences:\n",
|
|
" Task_ID Duration_1 Duration_2 Duration_Diff Accelerator\n",
|
|
" 0 1.0 1 0.0 10\n",
|
|
" 1 4.0 4 0.0 10\n",
|
|
" 2 7.0 7 0.0 10\n",
|
|
" 4 5.0 5 0.0 6\n",
|
|
" 5 0.0 0 0.0 6\n",
|
|
" 7 5.0 5 0.0 3\n",
|
|
" 8 1.0 1 0.0 7\n",
|
|
" 9 3.0 3 0.0 7\n",
|
|
" 11 5.0 5 0.0 3\n",
|
|
" 12 0.0 0 0.0 3\n",
|
|
"\n",
|
|
"Top 10 tasks with largest duration ratios:\n",
|
|
" Task_ID Duration_1 Duration_2 Duration_Ratio Accelerator\n",
|
|
" 5 0.0 0 inf 6\n",
|
|
" 12 0.0 0 inf 3\n",
|
|
" 15 0.0 0 inf 3\n",
|
|
" 24 0.0 0 inf 2\n",
|
|
" 33 0.0 0 inf 2\n",
|
|
" 42 0.0 0 inf 1\n",
|
|
" 51 0.0 0 inf 1\n",
|
|
" 57 0.0 0 inf 0\n",
|
|
" 0 1.0 1 1.0 10\n",
|
|
" 1 4.0 4 1.0 10\n"
|
|
]
|
|
},
|
|
{
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"title": {
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0,
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"text": "Dataset 1 Duration"
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"text": "Task ID"
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"text": "Dataset 1 Start Time"
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"title": {
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"text": "Duration Ratio"
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"text": "Duration Difference"
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"text": "Dataset 2 Start Time"
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"title": {
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"text": "Frequency"
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"metadata": {},
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"output_type": "display_data"
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}
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"source": [
|
|
"def analyze_differences():\n",
|
|
" \"\"\"Analyze the differences between the two datasets\"\"\"\n",
|
|
" \n",
|
|
" # Merge datasets by Task_ID for comparison\n",
|
|
" common_tasks = set(df1['Task_ID']) & set(df2['Task_ID'])\n",
|
|
" \n",
|
|
" comparison_data = []\n",
|
|
" \n",
|
|
" for task_id in common_tasks:\n",
|
|
" task1 = df1[df1['Task_ID'] == task_id].iloc[0]\n",
|
|
" task2 = df2[df2['Task_ID'] == task_id].iloc[0]\n",
|
|
" \n",
|
|
" comparison_data.append({\n",
|
|
" 'Task_ID': task_id,\n",
|
|
" 'Duration_1': task1['Duration'],\n",
|
|
" 'Duration_2': task2['Duration'],\n",
|
|
" 'Duration_Diff': task2['Duration'] - task1['Duration'],\n",
|
|
" 'Duration_Ratio': task2['Duration'] / task1['Duration'] if task1['Duration'] > 0 else float('inf'),\n",
|
|
" 'Start_1_Norm': task1['Start_Normalized'],\n",
|
|
" 'Start_2_Norm': task2['Start_Normalized'],\n",
|
|
" 'Start_Diff_Norm': task2['Start_Normalized'] - task1['Start_Normalized'],\n",
|
|
" 'Accelerator': task2.get('accelerator', 'N/A')\n",
|
|
" })\n",
|
|
" \n",
|
|
" comparison_df = pd.DataFrame(comparison_data)\n",
|
|
" \n",
|
|
" print(\"=== DETAILED COMPARISON ANALYSIS ===\")\n",
|
|
" print(f\"Common tasks between datasets: {len(common_tasks)}\")\n",
|
|
" print(f\"Tasks only in Dataset 1: {len(set(df1['Task_ID']) - set(df2['Task_ID']))}\")\n",
|
|
" print(f\"Tasks only in Dataset 2: {len(set(df2['Task_ID']) - set(df1['Task_ID']))}\")\n",
|
|
" \n",
|
|
" print(\"\\n=== DURATION COMPARISON ===\")\n",
|
|
" print(f\"Average duration difference: {comparison_df['Duration_Diff'].mean():.2f}\")\n",
|
|
" print(f\"Median duration difference: {comparison_df['Duration_Diff'].median():.2f}\")\n",
|
|
" print(f\"Max duration difference: {comparison_df['Duration_Diff'].max():.2f}\")\n",
|
|
" print(f\"Min duration difference: {comparison_df['Duration_Diff'].min():.2f}\")\n",
|
|
" \n",
|
|
" print(\"\\n=== START TIME COMPARISON (Normalized) ===\")\n",
|
|
" print(f\"Average start time difference: {comparison_df['Start_Diff_Norm'].mean():.2f}\")\n",
|
|
" print(f\"Median start time difference: {comparison_df['Start_Diff_Norm'].median():.2f}\")\n",
|
|
" \n",
|
|
" print(\"\\n=== TASKS WITH LARGEST DIFFERENCES ===\")\n",
|
|
" print(\"Top 10 tasks with largest duration differences:\")\n",
|
|
" top_diff = comparison_df.nlargest(10, 'Duration_Diff')[['Task_ID', 'Duration_1', 'Duration_2', 'Duration_Diff', 'Accelerator']]\n",
|
|
" print(top_diff.to_string(index=False))\n",
|
|
" \n",
|
|
" print(\"\\nTop 10 tasks with largest duration ratios:\")\n",
|
|
" top_ratio = comparison_df.nlargest(10, 'Duration_Ratio')[['Task_ID', 'Duration_1', 'Duration_2', 'Duration_Ratio', 'Accelerator']]\n",
|
|
" print(top_ratio.to_string(index=False))\n",
|
|
" \n",
|
|
" return comparison_df\n",
|
|
"\n",
|
|
"def create_difference_plots(comparison_df):\n",
|
|
" \"\"\"Create plots showing the differences between datasets\"\"\"\n",
|
|
" \n",
|
|
" fig = make_subplots(\n",
|
|
" rows=2, cols=2,\n",
|
|
" subplot_titles=('Duration Comparison', 'Duration Differences', 'Start Time Comparison', 'Duration Ratio Distribution'),\n",
|
|
" specs=[[{\"secondary_y\": False}, {\"secondary_y\": False}],\n",
|
|
" [{\"secondary_y\": False}, {\"secondary_y\": False}]]\n",
|
|
" )\n",
|
|
" \n",
|
|
" # Duration comparison scatter plot\n",
|
|
" fig.add_trace(\n",
|
|
" go.Scatter(\n",
|
|
" x=comparison_df['Duration_1'],\n",
|
|
" y=comparison_df['Duration_2'],\n",
|
|
" mode='markers',\n",
|
|
" name='Duration Comparison',\n",
|
|
" text=comparison_df['Task_ID'],\n",
|
|
" hovertemplate='<b>Task %{text}</b><br>' +\n",
|
|
" 'Dataset 1: %{x:.1f}<br>' +\n",
|
|
" 'Dataset 2: %{y:.1f}<br>' +\n",
|
|
" '<extra></extra>',\n",
|
|
" marker=dict(size=8, color='blue', opacity=0.6)\n",
|
|
" ),\n",
|
|
" row=1, col=1\n",
|
|
" )\n",
|
|
" \n",
|
|
" # Add diagonal line for reference\n",
|
|
" max_duration = max(comparison_df['Duration_1'].max(), comparison_df['Duration_2'].max())\n",
|
|
" fig.add_trace(\n",
|
|
" go.Scatter(\n",
|
|
" x=[0, max_duration],\n",
|
|
" y=[0, max_duration],\n",
|
|
" mode='lines',\n",
|
|
" name='Equal Duration',\n",
|
|
" line=dict(dash='dash', color='red'),\n",
|
|
" showlegend=False\n",
|
|
" ),\n",
|
|
" row=1, col=1\n",
|
|
" )\n",
|
|
" \n",
|
|
" # Duration differences\n",
|
|
" fig.add_trace(\n",
|
|
" go.Bar(\n",
|
|
" x=comparison_df['Task_ID'],\n",
|
|
" y=comparison_df['Duration_Diff'],\n",
|
|
" name='Duration Difference',\n",
|
|
" marker=dict(color=np.where(comparison_df['Duration_Diff'] > 0, 'green', 'red'))\n",
|
|
" ),\n",
|
|
" row=1, col=2\n",
|
|
" )\n",
|
|
" \n",
|
|
" # Start time comparison\n",
|
|
" fig.add_trace(\n",
|
|
" go.Scatter(\n",
|
|
" x=comparison_df['Start_1_Norm'],\n",
|
|
" y=comparison_df['Start_2_Norm'],\n",
|
|
" mode='markers',\n",
|
|
" name='Start Time Comparison',\n",
|
|
" text=comparison_df['Task_ID'],\n",
|
|
" hovertemplate='<b>Task %{text}</b><br>' +\n",
|
|
" 'Dataset 1: %{x:.1f}<br>' +\n",
|
|
" 'Dataset 2: %{y:.1f}<br>' +\n",
|
|
" '<extra></extra>',\n",
|
|
" marker=dict(size=8, color='orange', opacity=0.6)\n",
|
|
" ),\n",
|
|
" row=2, col=1\n",
|
|
" )\n",
|
|
" \n",
|
|
" # Duration ratio histogram\n",
|
|
" fig.add_trace(\n",
|
|
" go.Histogram(\n",
|
|
" x=comparison_df['Duration_Ratio'],\n",
|
|
" nbinsx=20,\n",
|
|
" name='Duration Ratio Distribution',\n",
|
|
" marker=dict(color='purple', opacity=0.7)\n",
|
|
" ),\n",
|
|
" row=2, col=2\n",
|
|
" )\n",
|
|
" \n",
|
|
" fig.update_layout(\n",
|
|
" title=\"Detailed Comparison Analysis\",\n",
|
|
" height=800,\n",
|
|
" showlegend=False\n",
|
|
" )\n",
|
|
" \n",
|
|
" fig.update_xaxes(title_text=\"Dataset 1 Duration\", row=1, col=1)\n",
|
|
" fig.update_yaxes(title_text=\"Dataset 2 Duration\", row=1, col=1)\n",
|
|
" fig.update_xaxes(title_text=\"Task ID\", row=1, col=2)\n",
|
|
" fig.update_yaxes(title_text=\"Duration Difference\", row=1, col=2)\n",
|
|
" fig.update_xaxes(title_text=\"Dataset 1 Start Time\", row=2, col=1)\n",
|
|
" fig.update_yaxes(title_text=\"Dataset 2 Start Time\", row=2, col=1)\n",
|
|
" fig.update_xaxes(title_text=\"Duration Ratio\", row=2, col=2)\n",
|
|
" fig.update_yaxes(title_text=\"Frequency\", row=2, col=2)\n",
|
|
" \n",
|
|
" return fig\n",
|
|
"\n",
|
|
"# Perform the analysis\n",
|
|
"comparison_df = analyze_differences()\n",
|
|
"\n",
|
|
"# Create and display difference plots\n",
|
|
"diff_fig = create_difference_plots(comparison_df)\n",
|
|
"diff_fig.show()"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 32,
|
|
"id": "93d284d2",
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"name": "stdout",
|
|
"output_type": "stream",
|
|
"text": [
|
|
"=== COMPREHENSIVE SUMMARY TABLE ===\n",
|
|
" Metric Task Schedule Simulation Results\n",
|
|
" Total Tasks 70 71\n",
|
|
" Total Execution Time 375.00 221.00\n",
|
|
" Average Task Duration 7.23 4.46\n",
|
|
" Median Task Duration 1.50 1.00\n",
|
|
" Min Task Duration 0.00 0.00\n",
|
|
" Max Task Duration 92.00 73.00\n",
|
|
"Tasks with Zero Duration 8 9\n",
|
|
" Task Duration Std Dev 19.14 10.70\n",
|
|
"\n",
|
|
"=== TASK EXECUTION PATTERN ANALYSIS ===\n",
|
|
"Task Schedule:\n",
|
|
" - Overlapping task pairs: 24\n",
|
|
" - Total task pairs: 2415\n",
|
|
" - Parallelism ratio: 0.010\n",
|
|
"Simulation Results:\n",
|
|
" - Overlapping task pairs: 30\n",
|
|
" - Total task pairs: 2485\n",
|
|
" - Parallelism ratio: 0.012\n",
|
|
"\n",
|
|
"=== ACCELERATOR USAGE (Simulation Results) ===\n",
|
|
"Tasks per accelerator:\n",
|
|
" Accelerator 0: 14 tasks\n",
|
|
" Accelerator 1: 18 tasks\n",
|
|
" Accelerator 2: 18 tasks\n",
|
|
" Accelerator 3: 7 tasks\n",
|
|
" Accelerator 4: 3 tasks\n",
|
|
" Accelerator 6: 3 tasks\n",
|
|
" Accelerator 7: 3 tasks\n",
|
|
" Accelerator 10: 5 tasks\n",
|
|
"Simulation Results:\n",
|
|
" - Overlapping task pairs: 30\n",
|
|
" - Total task pairs: 2485\n",
|
|
" - Parallelism ratio: 0.012\n",
|
|
"\n",
|
|
"=== ACCELERATOR USAGE (Simulation Results) ===\n",
|
|
"Tasks per accelerator:\n",
|
|
" Accelerator 0: 14 tasks\n",
|
|
" Accelerator 1: 18 tasks\n",
|
|
" Accelerator 2: 18 tasks\n",
|
|
" Accelerator 3: 7 tasks\n",
|
|
" Accelerator 4: 3 tasks\n",
|
|
" Accelerator 6: 3 tasks\n",
|
|
" Accelerator 7: 3 tasks\n",
|
|
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17.05,
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17.35,
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17.35,
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17.05
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{
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"fill": "toself",
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"legendgroup": "simulation",
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"width": 1
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},
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"name": "Simulation Task 16",
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"showlegend": false,
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135,
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149,
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149,
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135,
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135
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16.05,
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16.05,
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16.35,
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16.35,
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16.05
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]
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{
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"fill": "toself",
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"hovertemplate": "<b>Simulation Task 22</b><br>Start: 102117.0<br>End: 102118.0<br>Duration: 1.0<br>Accelerator: 2<br><extra></extra>",
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"legendgroup": "simulation",
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"line": {
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"color": "red",
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"width": 1
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},
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"name": "Simulation Task 22",
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"showlegend": false,
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136,
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137,
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137,
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136,
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136
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22.05,
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22.35,
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22.35,
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22.05
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]
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{
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"fill": "toself",
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"hovertemplate": "<b>Simulation Task 18</b><br>Start: 102118.0<br>End: 102120.0<br>Duration: 2.0<br>Accelerator: 2<br><extra></extra>",
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"legendgroup": "simulation",
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"line": {
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"color": "red",
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"width": 1
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},
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"name": "Simulation Task 18",
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"showlegend": false,
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137,
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139,
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139,
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137,
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137
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18.05,
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18.05,
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18.35,
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18.05
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]
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{
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"fill": "toself",
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"hovertemplate": "<b>Simulation Task 23</b><br>Start: 102120.0<br>End: 102121.0<br>Duration: 1.0<br>Accelerator: 2<br><extra></extra>",
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"legendgroup": "simulation",
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"line": {
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"color": "red",
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"width": 1
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},
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"name": "Simulation Task 23",
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"showlegend": false,
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"type": "scatter",
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139,
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140,
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140,
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139,
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139
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],
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23.05,
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23.35,
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23.35,
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23.05
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]
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},
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{
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"fill": "toself",
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"hovertemplate": "<b>Simulation Task 19</b><br>Start: 102121.0<br>End: 102122.0<br>Duration: 1.0<br>Accelerator: 2<br><extra></extra>",
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"legendgroup": "simulation",
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"line": {
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"color": "red",
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"width": 1
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},
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"name": "Simulation Task 19",
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"showlegend": false,
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"type": "scatter",
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140,
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141,
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141,
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140,
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140
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],
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19.05,
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19.05,
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19.35,
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19.35,
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19.05
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]
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},
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{
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"fill": "toself",
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"fillcolor": "rgba(255, 100, 0, 0.6)",
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"hovertemplate": "<b>Simulation Task 20</b><br>Start: 102122.0<br>End: 102124.0<br>Duration: 2.0<br>Accelerator: 2<br><extra></extra>",
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"legendgroup": "simulation",
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"line": {
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"color": "red",
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"width": 1
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},
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"name": "Simulation Task 20",
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"showlegend": false,
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"type": "scatter",
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"x": [
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141,
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143,
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143,
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141,
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141
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],
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20.05,
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20.05,
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20.35,
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20.35,
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20.05
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]
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},
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{
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"fill": "toself",
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"fillcolor": "rgba(255, 100, 0, 0.6)",
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"hovertemplate": "<b>Simulation Task 21</b><br>Start: 102124.0<br>End: 102126.0<br>Duration: 2.0<br>Accelerator: 2<br><extra></extra>",
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"legendgroup": "simulation",
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"line": {
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"color": "red",
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"width": 1
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},
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"name": "Simulation Task 21",
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"showlegend": false,
|
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"type": "scatter",
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"x": [
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143,
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145,
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145,
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143,
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143
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],
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21.05,
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21.05,
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21.35,
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21.35,
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21.05
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]
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},
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{
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"fill": "toself",
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"fillcolor": "rgba(255, 100, 0, 0.6)",
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"hovertemplate": "<b>Simulation Task 24</b><br>Start: 102130.0<br>End: 102130.0<br>Duration: 0.0<br>Accelerator: 2<br><extra></extra>",
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"legendgroup": "simulation",
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"line": {
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"color": "red",
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"width": 1
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},
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"name": "Simulation Task 24",
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"showlegend": false,
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"type": "scatter",
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"x": [
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149,
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149,
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149,
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149,
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149
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],
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24.05,
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24.05,
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24.35,
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24.35,
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24.05
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]
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},
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{
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"fill": "toself",
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"fillcolor": "rgba(255, 100, 0, 0.6)",
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"hovertemplate": "<b>Simulation Task 25</b><br>Start: 102130.0<br>End: 102131.0<br>Duration: 1.0<br>Accelerator: 2<br><extra></extra>",
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"legendgroup": "simulation",
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"line": {
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"color": "red",
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"width": 1
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},
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"name": "Simulation Task 25",
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"showlegend": false,
|
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"type": "scatter",
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"x": [
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149,
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150,
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150,
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149,
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149
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],
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25.05,
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25.05,
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25.35,
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25.35,
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25.05
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]
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},
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{
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"fill": "toself",
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"fillcolor": "rgba(255, 100, 0, 0.6)",
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"hovertemplate": "<b>Simulation Task 31</b><br>Start: 102131.0<br>End: 102132.0<br>Duration: 1.0<br>Accelerator: 2<br><extra></extra>",
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"legendgroup": "simulation",
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"line": {
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"color": "red",
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"width": 1
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},
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"name": "Simulation Task 31",
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"showlegend": false,
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"type": "scatter",
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"x": [
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150,
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151,
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151,
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150,
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150
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],
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31.05,
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31.05,
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31.35,
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31.35,
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31.05
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]
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},
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{
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"fill": "toself",
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"fillcolor": "rgba(255, 100, 0, 0.6)",
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"hovertemplate": "<b>Simulation Task 28</b><br>Start: 102132.0<br>End: 102133.0<br>Duration: 1.0<br>Accelerator: 2<br><extra></extra>",
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"legendgroup": "simulation",
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"line": {
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"color": "red",
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"width": 1
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},
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"name": "Simulation Task 28",
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"showlegend": false,
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"type": "scatter",
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"x": [
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151,
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152,
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152,
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151,
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151
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],
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28.05,
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28.05,
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28.35,
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28.35,
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28.05
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]
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},
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{
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"fill": "toself",
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"fillcolor": "rgba(255, 100, 0, 0.6)",
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"hovertemplate": "<b>Simulation Task 32</b><br>Start: 102133.0<br>End: 102134.0<br>Duration: 1.0<br>Accelerator: 2<br><extra></extra>",
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"legendgroup": "simulation",
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"line": {
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"color": "red",
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"width": 1
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},
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"name": "Simulation Task 32",
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"showlegend": false,
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"type": "scatter",
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152,
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153,
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153,
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152,
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152
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],
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32.05,
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32.05,
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32.35,
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32.35,
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32.05
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]
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},
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{
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"fill": "toself",
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"fillcolor": "rgba(255, 100, 0, 0.6)",
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"hovertemplate": "<b>Simulation Task 29</b><br>Start: 102134.0<br>End: 102136.0<br>Duration: 2.0<br>Accelerator: 2<br><extra></extra>",
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"legendgroup": "simulation",
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"line": {
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"color": "red",
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"width": 1
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},
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"name": "Simulation Task 29",
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"showlegend": false,
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"type": "scatter",
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"x": [
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153,
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155,
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155,
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153,
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153
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],
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29.05,
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29.05,
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29.35,
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29.35,
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29.05
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]
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},
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{
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"fill": "toself",
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"fillcolor": "rgba(255, 100, 0, 0.6)",
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"hovertemplate": "<b>Simulation Task 26</b><br>Start: 102136.0<br>End: 102137.0<br>Duration: 1.0<br>Accelerator: 2<br><extra></extra>",
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"legendgroup": "simulation",
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"line": {
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"color": "red",
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"width": 1
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},
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"name": "Simulation Task 26",
|
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"showlegend": false,
|
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"type": "scatter",
|
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"x": [
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155,
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156,
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156,
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155,
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155
|
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],
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26.05,
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26.05,
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26.35,
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26.35,
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26.05
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]
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},
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{
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"fill": "toself",
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"fillcolor": "rgba(255, 100, 0, 0.6)",
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"hovertemplate": "<b>Simulation Task 30</b><br>Start: 102137.0<br>End: 102139.0<br>Duration: 2.0<br>Accelerator: 2<br><extra></extra>",
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|
"legendgroup": "simulation",
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"line": {
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"color": "red",
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"width": 1
|
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},
|
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"name": "Simulation Task 30",
|
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"showlegend": false,
|
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"type": "scatter",
|
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"x": [
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156,
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158,
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158,
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156,
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156
|
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],
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30.05,
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30.05,
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30.35,
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30.35,
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30.05
|
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]
|
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},
|
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{
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"fill": "toself",
|
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"fillcolor": "rgba(255, 100, 0, 0.6)",
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"hovertemplate": "<b>Simulation Task 27</b><br>Start: 102139.0<br>End: 102141.0<br>Duration: 2.0<br>Accelerator: 2<br><extra></extra>",
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|
"legendgroup": "simulation",
|
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"line": {
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"color": "red",
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"width": 1
|
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},
|
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"name": "Simulation Task 27",
|
|
"showlegend": false,
|
|
"type": "scatter",
|
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"x": [
|
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158,
|
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160,
|
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160,
|
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158,
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158
|
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],
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|
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27.05,
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27.05,
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27.35,
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27.35,
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27.05
|
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]
|
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},
|
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{
|
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"fill": "toself",
|
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"fillcolor": "rgba(255, 100, 0, 0.6)",
|
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"hovertemplate": "<b>Simulation Task 33</b><br>Start: 102141.0<br>End: 102141.0<br>Duration: 0.0<br>Accelerator: 2<br><extra></extra>",
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|
"legendgroup": "simulation",
|
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"line": {
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"color": "red",
|
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"width": 1
|
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},
|
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"name": "Simulation Task 33",
|
|
"showlegend": false,
|
|
"type": "scatter",
|
|
"x": [
|
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160,
|
|
160,
|
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160,
|
|
160,
|
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160
|
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],
|
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|
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33.05,
|
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33.05,
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33.35,
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33.35,
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33.05
|
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]
|
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},
|
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{
|
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"fill": "toself",
|
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"fillcolor": "rgba(255, 100, 0, 0.6)",
|
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"hovertemplate": "<b>Simulation Task 35</b><br>Start: 102141.0<br>End: 102142.0<br>Duration: 1.0<br>Accelerator: 1<br><extra></extra>",
|
|
"legendgroup": "simulation",
|
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"line": {
|
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"color": "red",
|
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"width": 1
|
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},
|
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"name": "Simulation Task 35",
|
|
"showlegend": false,
|
|
"type": "scatter",
|
|
"x": [
|
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160,
|
|
161,
|
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161,
|
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160,
|
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160
|
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],
|
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|
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35.05,
|
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35.05,
|
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35.35,
|
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35.35,
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35.05
|
|
]
|
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},
|
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{
|
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"fill": "toself",
|
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"fillcolor": "rgba(255, 100, 0, 0.6)",
|
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"hovertemplate": "<b>Simulation Task 34</b><br>Start: 102141.0<br>End: 102155.0<br>Duration: 14.0<br>Accelerator: 2<br><extra></extra>",
|
|
"legendgroup": "simulation",
|
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"line": {
|
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"color": "red",
|
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"width": 1
|
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},
|
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"name": "Simulation Task 34",
|
|
"showlegend": false,
|
|
"type": "scatter",
|
|
"x": [
|
|
160,
|
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174,
|
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174,
|
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160,
|
|
160
|
|
],
|
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|
|
34.05,
|
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34.05,
|
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34.35,
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34.35,
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34.05
|
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]
|
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},
|
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{
|
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"fill": "toself",
|
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"fillcolor": "rgba(255, 100, 0, 0.6)",
|
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"hovertemplate": "<b>Simulation Task 40</b><br>Start: 102142.0<br>End: 102143.0<br>Duration: 1.0<br>Accelerator: 1<br><extra></extra>",
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|
"legendgroup": "simulation",
|
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"line": {
|
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"color": "red",
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"width": 1
|
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},
|
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"name": "Simulation Task 40",
|
|
"showlegend": false,
|
|
"type": "scatter",
|
|
"x": [
|
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161,
|
|
162,
|
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162,
|
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161,
|
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161
|
|
],
|
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|
|
40.05,
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40.05,
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40.35,
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40.35,
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40.05
|
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]
|
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},
|
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{
|
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"fill": "toself",
|
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"fillcolor": "rgba(255, 100, 0, 0.6)",
|
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"hovertemplate": "<b>Simulation Task 36</b><br>Start: 102143.0<br>End: 102145.0<br>Duration: 2.0<br>Accelerator: 1<br><extra></extra>",
|
|
"legendgroup": "simulation",
|
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"line": {
|
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"color": "red",
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"width": 1
|
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},
|
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"name": "Simulation Task 36",
|
|
"showlegend": false,
|
|
"type": "scatter",
|
|
"x": [
|
|
162,
|
|
164,
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164,
|
|
162,
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|
162
|
|
],
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|
|
36.05,
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36.05,
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36.35,
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36.35,
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36.05
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]
|
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},
|
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{
|
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"fill": "toself",
|
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"fillcolor": "rgba(255, 100, 0, 0.6)",
|
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"hovertemplate": "<b>Simulation Task 41</b><br>Start: 102145.0<br>End: 102146.0<br>Duration: 1.0<br>Accelerator: 1<br><extra></extra>",
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164,
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164
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165
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166
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168,
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168
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174,
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174
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42.05
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174,
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174
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175,
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175
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49.05
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176,
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176
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178,
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180,
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44.05
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45.05
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51.05
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185,
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187,
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188,
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188
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196,
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55.35,
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57.35,
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"text": [
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"\n",
|
|
"=== FINAL ANALYSIS SUMMARY ===\n",
|
|
"1. Both datasets contain similar task structures but with different timing characteristics\n",
|
|
"2. The simulation results show more detailed accelerator assignments\n",
|
|
"3. Duration differences suggest different execution environments or optimizations\n",
|
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"4. Normalized comparisons help identify structural similarities despite timing differences\n",
|
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"5. The overlay plot shows how tasks align between the two schedules\n"
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]
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}
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],
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"source": [
|
|
"def create_summary_table():\n",
|
|
" \"\"\"Create a comprehensive summary table\"\"\"\n",
|
|
" \n",
|
|
" # Calculate statistics for both datasets\n",
|
|
" stats_data = {\n",
|
|
" 'Metric': [\n",
|
|
" 'Total Tasks',\n",
|
|
" 'Total Execution Time',\n",
|
|
" 'Average Task Duration',\n",
|
|
" 'Median Task Duration',\n",
|
|
" 'Min Task Duration',\n",
|
|
" 'Max Task Duration',\n",
|
|
" 'Tasks with Zero Duration',\n",
|
|
" 'Task Duration Std Dev'\n",
|
|
" ],\n",
|
|
" 'Task Schedule': [\n",
|
|
" len(df1),\n",
|
|
" f\"{df1['End'].max() - df1['Start'].min():.2f}\",\n",
|
|
" f\"{df1['Duration'].mean():.2f}\",\n",
|
|
" f\"{df1['Duration'].median():.2f}\",\n",
|
|
" f\"{df1['Duration'].min():.2f}\",\n",
|
|
" f\"{df1['Duration'].max():.2f}\",\n",
|
|
" len(df1[df1['Duration'] == 0]),\n",
|
|
" f\"{df1['Duration'].std():.2f}\"\n",
|
|
" ],\n",
|
|
" 'Simulation Results': [\n",
|
|
" len(df2),\n",
|
|
" f\"{df2['End'].max() - df2['Start'].min():.2f}\",\n",
|
|
" f\"{df2['Duration'].mean():.2f}\",\n",
|
|
" f\"{df2['Duration'].median():.2f}\",\n",
|
|
" f\"{df2['Duration'].min():.2f}\",\n",
|
|
" f\"{df2['Duration'].max():.2f}\",\n",
|
|
" len(df2[df2['Duration'] == 0]),\n",
|
|
" f\"{df2['Duration'].std():.2f}\"\n",
|
|
" ]\n",
|
|
" }\n",
|
|
" \n",
|
|
" stats_df = pd.DataFrame(stats_data)\n",
|
|
" \n",
|
|
" print(\"=== COMPREHENSIVE SUMMARY TABLE ===\")\n",
|
|
" print(stats_df.to_string(index=False))\n",
|
|
" \n",
|
|
" # Task execution pattern analysis\n",
|
|
" print(\"\\n=== TASK EXECUTION PATTERN ANALYSIS ===\")\n",
|
|
" \n",
|
|
" # Check for parallelism in both datasets\n",
|
|
" def analyze_parallelism(df, name):\n",
|
|
" overlapping_tasks = 0\n",
|
|
" total_comparisons = 0\n",
|
|
" \n",
|
|
" for i in range(len(df)):\n",
|
|
" for j in range(i+1, len(df)):\n",
|
|
" task1 = df.iloc[i]\n",
|
|
" task2 = df.iloc[j]\n",
|
|
" \n",
|
|
" # Check if tasks overlap\n",
|
|
" if (task1['Start'] < task2['End'] and task2['Start'] < task1['End']):\n",
|
|
" overlapping_tasks += 1\n",
|
|
" total_comparisons += 1\n",
|
|
" \n",
|
|
" parallelism_ratio = overlapping_tasks / total_comparisons if total_comparisons > 0 else 0\n",
|
|
" \n",
|
|
" print(f\"{name}:\")\n",
|
|
" print(f\" - Overlapping task pairs: {overlapping_tasks}\")\n",
|
|
" print(f\" - Total task pairs: {total_comparisons}\")\n",
|
|
" print(f\" - Parallelism ratio: {parallelism_ratio:.3f}\")\n",
|
|
" \n",
|
|
" return parallelism_ratio\n",
|
|
" \n",
|
|
" para1 = analyze_parallelism(df1, \"Task Schedule\")\n",
|
|
" para2 = analyze_parallelism(df2, \"Simulation Results\")\n",
|
|
" \n",
|
|
" # Accelerator usage analysis (only for simulation results)\n",
|
|
" if 'accelerator' in df2.columns:\n",
|
|
" print(f\"\\n=== ACCELERATOR USAGE (Simulation Results) ===\")\n",
|
|
" accel_usage = df2['accelerator'].value_counts().sort_index()\n",
|
|
" print(\"Tasks per accelerator:\")\n",
|
|
" for accel, count in accel_usage.items():\n",
|
|
" print(f\" Accelerator {accel}: {count} tasks\")\n",
|
|
" \n",
|
|
" return stats_df\n",
|
|
"\n",
|
|
"def create_timeline_overlay():\n",
|
|
" \"\"\"Create an overlay comparison showing both datasets on the same timeline\"\"\"\n",
|
|
" \n",
|
|
" fig = go.Figure()\n",
|
|
" \n",
|
|
" # Add Dataset 1 tasks (normalized)\n",
|
|
" for i, row in df1.iterrows():\n",
|
|
" fig.add_trace(\n",
|
|
" go.Scatter(\n",
|
|
" x=[row['Start_Normalized'], row['End_Normalized'], row['End_Normalized'], row['Start_Normalized'], row['Start_Normalized']],\n",
|
|
" y=[row['Task_ID']-0.35, row['Task_ID']-0.35, row['Task_ID']-0.05, row['Task_ID']-0.05, row['Task_ID']-0.35],\n",
|
|
" fill='toself',\n",
|
|
" fillcolor='rgba(0, 100, 255, 0.6)',\n",
|
|
" line=dict(color='blue', width=1),\n",
|
|
" name=f\"Schedule Task {row['Task_ID']}\",\n",
|
|
" legendgroup=\"schedule\",\n",
|
|
" showlegend=i==0,\n",
|
|
" hovertemplate=f\"<b>Schedule Task {row['Task_ID']}</b><br>\" +\n",
|
|
" f\"Start: {row['Start']:.1f}<br>\" +\n",
|
|
" f\"End: {row['End']:.1f}<br>\" +\n",
|
|
" f\"Duration: {row['Duration']:.1f}<br>\" +\n",
|
|
" \"<extra></extra>\"\n",
|
|
" )\n",
|
|
" )\n",
|
|
" \n",
|
|
" # Add Dataset 2 tasks (normalized)\n",
|
|
" for i, row in df2.iterrows():\n",
|
|
" fig.add_trace(\n",
|
|
" go.Scatter(\n",
|
|
" x=[row['Start_Normalized'], row['End_Normalized'], row['End_Normalized'], row['Start_Normalized'], row['Start_Normalized']],\n",
|
|
" y=[row['Task_ID']+0.05, row['Task_ID']+0.05, row['Task_ID']+0.35, row['Task_ID']+0.35, row['Task_ID']+0.05],\n",
|
|
" fill='toself',\n",
|
|
" fillcolor='rgba(255, 100, 0, 0.6)',\n",
|
|
" line=dict(color='red', width=1),\n",
|
|
" name=f\"Simulation Task {row['Task_ID']}\",\n",
|
|
" legendgroup=\"simulation\",\n",
|
|
" showlegend=i==0,\n",
|
|
" hovertemplate=f\"<b>Simulation Task {row['Task_ID']}</b><br>\" +\n",
|
|
" f\"Start: {row['Start']:.1f}<br>\" +\n",
|
|
" f\"End: {row['End']:.1f}<br>\" +\n",
|
|
" f\"Duration: {row['Duration']:.1f}<br>\" +\n",
|
|
" f\"Accelerator: {row.get('accelerator', 'N/A')}<br>\" +\n",
|
|
" \"<extra></extra>\"\n",
|
|
" )\n",
|
|
" )\n",
|
|
" \n",
|
|
" # Add legend entries\n",
|
|
" fig.add_trace(go.Scatter(x=[None], y=[None], mode='markers', \n",
|
|
" marker=dict(size=10, color='rgba(0, 100, 255, 0.6)'),\n",
|
|
" legendgroup=\"schedule\", showlegend=True, name=\"Task Schedule\"))\n",
|
|
" fig.add_trace(go.Scatter(x=[None], y=[None], mode='markers', \n",
|
|
" marker=dict(size=10, color='rgba(255, 100, 0, 0.6)'),\n",
|
|
" legendgroup=\"simulation\", showlegend=True, name=\"Simulation Results\"))\n",
|
|
" \n",
|
|
" fig.update_layout(\n",
|
|
" title=\"Timeline Overlay Comparison (Normalized Time)\",\n",
|
|
" xaxis_title=\"Normalized Time\",\n",
|
|
" yaxis_title=\"Task ID\",\n",
|
|
" height=600,\n",
|
|
" hovermode='closest'\n",
|
|
" )\n",
|
|
" \n",
|
|
" return fig\n",
|
|
"\n",
|
|
"# Create and display the summary\n",
|
|
"summary_df = create_summary_table()\n",
|
|
"\n",
|
|
"# Create and display the timeline overlay\n",
|
|
"overlay_fig = create_timeline_overlay()\n",
|
|
"overlay_fig.show()\n",
|
|
"\n",
|
|
"print(\"\\n=== FINAL ANALYSIS SUMMARY ===\")\n",
|
|
"print(\"1. Both datasets contain similar task structures but with different timing characteristics\")\n",
|
|
"print(\"2. The simulation results show more detailed accelerator assignments\")\n",
|
|
"print(\"3. Duration differences suggest different execution environments or optimizations\")\n",
|
|
"print(\"4. Normalized comparisons help identify structural similarities despite timing differences\")\n",
|
|
"print(\"5. The overlay plot shows how tasks align between the two schedules\")"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 33,
|
|
"id": "d7a5194e",
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"name": "stdout",
|
|
"output_type": "stream",
|
|
"text": [
|
|
"=== DATA TYPE DEBUGGING ===\n",
|
|
"df1 Duration column type: float64\n",
|
|
"df2 Duration column type: int64\n",
|
|
"Sample values from df1['Duration']: [1.0, 4.0, 7.0, 90.0, 5.0]\n",
|
|
"Sample values from df2['Duration']: [0, 1, 4, 7, 5]\n",
|
|
"\n",
|
|
"Checking for non-numeric values:\n",
|
|
"df1 Duration non-numeric: 0\n",
|
|
"df2 Duration non-numeric: 0\n",
|
|
"\n",
|
|
"Comparison DataFrame info:\n",
|
|
"Duration_1 type: float64\n",
|
|
"Duration_2 type: int64\n",
|
|
"Duration_Diff type: float64\n",
|
|
"\n",
|
|
"Actual comparison values (first 10):\n",
|
|
" Task_ID Duration_1 Duration_2 Duration_Diff\n",
|
|
"0 0 1.0 1 0.0\n",
|
|
"1 1 4.0 4 0.0\n",
|
|
"2 2 7.0 7 0.0\n",
|
|
"3 3 90.0 37 -53.0\n",
|
|
"4 4 5.0 5 0.0\n",
|
|
"5 5 0.0 0 0.0\n",
|
|
"6 6 90.0 73 -17.0\n",
|
|
"7 7 5.0 5 0.0\n",
|
|
"8 8 1.0 1 0.0\n",
|
|
"9 9 3.0 3 0.0\n",
|
|
"\n",
|
|
"Manual calculation check:\n",
|
|
"Task 0.0: 1.0 - 1.0 = 0.0 (stored: 0.0)\n",
|
|
"Task 1.0: 4.0 - 4.0 = 0.0 (stored: 0.0)\n",
|
|
"Task 2.0: 7.0 - 7.0 = 0.0 (stored: 0.0)\n",
|
|
"Task 3.0: 90.0 - 37.0 = -53.0 (stored: -53.0)\n",
|
|
"Task 4.0: 5.0 - 5.0 = 0.0 (stored: 0.0)\n"
|
|
]
|
|
}
|
|
],
|
|
"source": [
|
|
"# Debug: Check data types and fix the issue\n",
|
|
"print(\"=== DATA TYPE DEBUGGING ===\")\n",
|
|
"print(\"df1 Duration column type:\", df1['Duration'].dtype)\n",
|
|
"print(\"df2 Duration column type:\", df2['Duration'].dtype)\n",
|
|
"print(\"Sample values from df1['Duration']:\", df1['Duration'].head().tolist())\n",
|
|
"print(\"Sample values from df2['Duration']:\", df2['Duration'].head().tolist())\n",
|
|
"\n",
|
|
"# Check if there are any non-numeric values\n",
|
|
"print(\"\\nChecking for non-numeric values:\")\n",
|
|
"print(\"df1 Duration non-numeric:\", df1['Duration'].apply(lambda x: not isinstance(x, (int, float))).sum())\n",
|
|
"print(\"df2 Duration non-numeric:\", df2['Duration'].apply(lambda x: not isinstance(x, (int, float))).sum())\n",
|
|
"\n",
|
|
"# Let's look at the actual comparison_df values\n",
|
|
"print(\"\\nComparison DataFrame info:\")\n",
|
|
"print(\"Duration_1 type:\", comparison_df['Duration_1'].dtype)\n",
|
|
"print(\"Duration_2 type:\", comparison_df['Duration_2'].dtype)\n",
|
|
"print(\"Duration_Diff type:\", comparison_df['Duration_Diff'].dtype)\n",
|
|
"\n",
|
|
"# Check some actual values\n",
|
|
"print(\"\\nActual comparison values (first 10):\")\n",
|
|
"print(comparison_df[['Task_ID', 'Duration_1', 'Duration_2', 'Duration_Diff']].head(10))\n",
|
|
"\n",
|
|
"# Check if the issue is with the difference calculation\n",
|
|
"print(\"\\nManual calculation check:\")\n",
|
|
"for i in range(5):\n",
|
|
" row = comparison_df.iloc[i]\n",
|
|
" manual_diff = float(row['Duration_2']) - float(row['Duration_1'])\n",
|
|
" print(f\"Task {row['Task_ID']}: {row['Duration_1']} - {row['Duration_2']} = {manual_diff} (stored: {row['Duration_Diff']})\")"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 34,
|
|
"id": "8a6a068a",
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"name": "stdout",
|
|
"output_type": "stream",
|
|
"text": [
|
|
"=== FIXED COMPARISON ANALYSIS ===\n",
|
|
"Common tasks between datasets: 70\n",
|
|
"Tasks only in Dataset 1: 0\n",
|
|
"Tasks only in Dataset 2: 1\n",
|
|
"\n",
|
|
"=== DURATION COMPARISON (FIXED) ===\n",
|
|
"Average duration difference: -2.70\n",
|
|
"Median duration difference: 0.00\n",
|
|
"Max duration difference: 0.00\n",
|
|
"Min duration difference: -53.00\n",
|
|
"Standard deviation of differences: 9.74\n",
|
|
"\n",
|
|
"=== START TIME COMPARISON (Normalized, FIXED) ===\n",
|
|
"Average start time difference: -104.69\n",
|
|
"Median start time difference: -114.00\n",
|
|
"Max start time difference: 0.00\n",
|
|
"Min start time difference: -168.00\n",
|
|
"\n",
|
|
"=== TASKS WITH LARGEST DIFFERENCES (FIXED) ===\n",
|
|
"Top 10 tasks with largest absolute duration differences:\n",
|
|
" Task_ID Duration_1 Duration_2 Duration_Diff Accelerator\n",
|
|
" 3 90.0 37.0 -53.0 10\n",
|
|
" 10 92.0 39.0 -53.0 7\n",
|
|
" 16 33.0 14.0 -19.0 3\n",
|
|
" 34 33.0 14.0 -19.0 2\n",
|
|
" 52 37.0 19.0 -18.0 1\n",
|
|
" 6 90.0 73.0 -17.0 6\n",
|
|
" 64 19.0 9.0 -10.0 4\n",
|
|
" 0 1.0 1.0 0.0 10\n",
|
|
" 1 4.0 4.0 0.0 10\n",
|
|
" 2 7.0 7.0 0.0 10\n",
|
|
"\n",
|
|
"Top 10 tasks with largest positive duration differences:\n",
|
|
"No tasks with positive duration differences found\n",
|
|
"\n",
|
|
"Top 10 tasks with largest negative duration differences:\n",
|
|
" Task_ID Duration_1 Duration_2 Duration_Diff Accelerator\n",
|
|
" 3 90.0 37.0 -53.0 10\n",
|
|
" 10 92.0 39.0 -53.0 7\n",
|
|
" 16 33.0 14.0 -19.0 3\n",
|
|
" 34 33.0 14.0 -19.0 2\n",
|
|
" 52 37.0 19.0 -18.0 1\n",
|
|
" 6 90.0 73.0 -17.0 6\n",
|
|
" 64 19.0 9.0 -10.0 4\n",
|
|
"\n",
|
|
"Tasks with exactly matching durations: 63\n",
|
|
"Sample of tasks with zero difference:\n",
|
|
" Task_ID Duration_1 Duration_2 Duration_Diff Accelerator\n",
|
|
" 0 1.0 1.0 0.0 10\n",
|
|
" 1 4.0 4.0 0.0 10\n",
|
|
" 2 7.0 7.0 0.0 10\n",
|
|
" 4 5.0 5.0 0.0 6\n",
|
|
" 5 0.0 0.0 0.0 6\n",
|
|
" 7 5.0 5.0 0.0 3\n",
|
|
" 8 1.0 1.0 0.0 7\n",
|
|
" 9 3.0 3.0 0.0 7\n",
|
|
" 11 5.0 5.0 0.0 3\n",
|
|
" 12 0.0 0.0 0.0 3\n"
|
|
]
|
|
}
|
|
],
|
|
"source": [
|
|
"def load_and_normalize_data_fixed():\n",
|
|
" \"\"\"Fixed version with proper data type handling\"\"\"\n",
|
|
" \n",
|
|
" # Load first dataset (task_schedule.json)\n",
|
|
" with open('/home/sfischer/Documents/projects/wk_LinProg/LinProg_Scripts/gantt_output/task_schedule.json', 'r') as f:\n",
|
|
" data1 = json.load(f)\n",
|
|
" \n",
|
|
" # Load second dataset (simulation results)\n",
|
|
" with open('/home/sfischer/Documents/projects/wk_LinProg/simulation/results/log_raw/gantt_timing_combined_log_LinProg_opt_test_rep50_link576_Opt_NoC_1_Comp_0.1_scratch10000_comp1.json', 'r') as f:\n",
|
|
" data2 = json.load(f)\n",
|
|
" \n",
|
|
" # Convert first dataset to DataFrame with explicit type conversion\n",
|
|
" df1 = pd.DataFrame(data1)\n",
|
|
" df1['Source'] = 'Task Schedule'\n",
|
|
" df1['Task_ID'] = df1['Task'].str.extract(r'(\\d+)').astype(int)\n",
|
|
" \n",
|
|
" # Ensure numeric types for timing columns\n",
|
|
" df1['Start'] = pd.to_numeric(df1['Start'], errors='coerce')\n",
|
|
" df1['End'] = pd.to_numeric(df1['End'], errors='coerce')\n",
|
|
" df1['Duration'] = pd.to_numeric(df1['Duration'], errors='coerce')\n",
|
|
" \n",
|
|
" # Convert second dataset to DataFrame with explicit type conversion\n",
|
|
" df2 = pd.DataFrame(data2['tasks'])\n",
|
|
" df2['Source'] = 'Simulation Results'\n",
|
|
" df2['Task_ID'] = df2['task_id'].astype(int)\n",
|
|
" df2['Task'] = 'Task ' + df2['task_id'].astype(str)\n",
|
|
" \n",
|
|
" # Ensure numeric types for timing columns\n",
|
|
" df2['Start'] = pd.to_numeric(df2['start_time'], errors='coerce')\n",
|
|
" df2['End'] = pd.to_numeric(df2['end_time'], errors='coerce')\n",
|
|
" df2['Duration'] = pd.to_numeric(df2['duration'], errors='coerce')\n",
|
|
" \n",
|
|
" # Remove any rows with NaN values\n",
|
|
" df1 = df1.dropna(subset=['Start', 'End', 'Duration'])\n",
|
|
" df2 = df2.dropna(subset=['Start', 'End', 'Duration'])\n",
|
|
" \n",
|
|
" # Normalize timing values to start from 0\n",
|
|
" df1['Start_Normalized'] = df1['Start'] - df1['Start'].min()\n",
|
|
" df1['End_Normalized'] = df1['End'] - df1['Start'].min()\n",
|
|
" df1['Duration_Normalized'] = df1['Duration']\n",
|
|
" \n",
|
|
" df2['Start_Normalized'] = df2['Start'] - df2['Start'].min()\n",
|
|
" df2['End_Normalized'] = df2['End'] - df2['Start'].min()\n",
|
|
" df2['Duration_Normalized'] = df2['Duration']\n",
|
|
" \n",
|
|
" # Scale to same time range for comparison\n",
|
|
" max_time_1 = df1['End_Normalized'].max()\n",
|
|
" max_time_2 = df2['End_Normalized'].max()\n",
|
|
" \n",
|
|
" # Scale both to 0-1 range\n",
|
|
" df1['Start_Scaled'] = df1['Start_Normalized'] / max_time_1\n",
|
|
" df1['End_Scaled'] = df1['End_Normalized'] / max_time_1\n",
|
|
" df1['Duration_Scaled'] = df1['Duration_Normalized'] / max_time_1\n",
|
|
" \n",
|
|
" df2['Start_Scaled'] = df2['Start_Normalized'] / max_time_2\n",
|
|
" df2['End_Scaled'] = df2['End_Normalized'] / max_time_2\n",
|
|
" df2['Duration_Scaled'] = df2['Duration_Normalized'] / max_time_2\n",
|
|
" \n",
|
|
" return df1, df2\n",
|
|
"\n",
|
|
"def analyze_differences_fixed():\n",
|
|
" \"\"\"Fixed version of difference analysis with proper type handling\"\"\"\n",
|
|
" \n",
|
|
" # Use the fixed data\n",
|
|
" df1_fixed, df2_fixed = load_and_normalize_data_fixed()\n",
|
|
" \n",
|
|
" # Merge datasets by Task_ID for comparison\n",
|
|
" common_tasks = set(df1_fixed['Task_ID']) & set(df2_fixed['Task_ID'])\n",
|
|
" \n",
|
|
" comparison_data = []\n",
|
|
" \n",
|
|
" for task_id in common_tasks:\n",
|
|
" task1 = df1_fixed[df1_fixed['Task_ID'] == task_id].iloc[0]\n",
|
|
" task2 = df2_fixed[df2_fixed['Task_ID'] == task_id].iloc[0]\n",
|
|
" \n",
|
|
" # Ensure all values are properly converted to float\n",
|
|
" duration_1 = float(task1['Duration'])\n",
|
|
" duration_2 = float(task2['Duration'])\n",
|
|
" start_1_norm = float(task1['Start_Normalized'])\n",
|
|
" start_2_norm = float(task2['Start_Normalized'])\n",
|
|
" \n",
|
|
" comparison_data.append({\n",
|
|
" 'Task_ID': int(task_id),\n",
|
|
" 'Duration_1': duration_1,\n",
|
|
" 'Duration_2': duration_2,\n",
|
|
" 'Duration_Diff': duration_2 - duration_1,\n",
|
|
" 'Duration_Ratio': duration_2 / duration_1 if duration_1 > 0 else float('inf'),\n",
|
|
" 'Start_1_Norm': start_1_norm,\n",
|
|
" 'Start_2_Norm': start_2_norm,\n",
|
|
" 'Start_Diff_Norm': start_2_norm - start_1_norm,\n",
|
|
" 'Accelerator': task2.get('accelerator', 'N/A')\n",
|
|
" })\n",
|
|
" \n",
|
|
" comparison_df_fixed = pd.DataFrame(comparison_data)\n",
|
|
" \n",
|
|
" print(\"=== FIXED COMPARISON ANALYSIS ===\")\n",
|
|
" print(f\"Common tasks between datasets: {len(common_tasks)}\")\n",
|
|
" print(f\"Tasks only in Dataset 1: {len(set(df1_fixed['Task_ID']) - set(df2_fixed['Task_ID']))}\")\n",
|
|
" print(f\"Tasks only in Dataset 2: {len(set(df2_fixed['Task_ID']) - set(df1_fixed['Task_ID']))}\")\n",
|
|
" \n",
|
|
" print(\"\\n=== DURATION COMPARISON (FIXED) ===\")\n",
|
|
" print(f\"Average duration difference: {comparison_df_fixed['Duration_Diff'].mean():.2f}\")\n",
|
|
" print(f\"Median duration difference: {comparison_df_fixed['Duration_Diff'].median():.2f}\")\n",
|
|
" print(f\"Max duration difference: {comparison_df_fixed['Duration_Diff'].max():.2f}\")\n",
|
|
" print(f\"Min duration difference: {comparison_df_fixed['Duration_Diff'].min():.2f}\")\n",
|
|
" print(f\"Standard deviation of differences: {comparison_df_fixed['Duration_Diff'].std():.2f}\")\n",
|
|
" \n",
|
|
" print(\"\\n=== START TIME COMPARISON (Normalized, FIXED) ===\")\n",
|
|
" print(f\"Average start time difference: {comparison_df_fixed['Start_Diff_Norm'].mean():.2f}\")\n",
|
|
" print(f\"Median start time difference: {comparison_df_fixed['Start_Diff_Norm'].median():.2f}\")\n",
|
|
" print(f\"Max start time difference: {comparison_df_fixed['Start_Diff_Norm'].max():.2f}\")\n",
|
|
" print(f\"Min start time difference: {comparison_df_fixed['Start_Diff_Norm'].min():.2f}\")\n",
|
|
" \n",
|
|
" print(\"\\n=== TASKS WITH LARGEST DIFFERENCES (FIXED) ===\")\n",
|
|
" # Sort by absolute difference to see both positive and negative differences\n",
|
|
" comparison_df_fixed['Abs_Duration_Diff'] = abs(comparison_df_fixed['Duration_Diff'])\n",
|
|
" \n",
|
|
" print(\"Top 10 tasks with largest absolute duration differences:\")\n",
|
|
" top_diff = comparison_df_fixed.nlargest(10, 'Abs_Duration_Diff')[['Task_ID', 'Duration_1', 'Duration_2', 'Duration_Diff', 'Accelerator']]\n",
|
|
" print(top_diff.to_string(index=False))\n",
|
|
" \n",
|
|
" print(\"\\nTop 10 tasks with largest positive duration differences:\")\n",
|
|
" positive_diff = comparison_df_fixed[comparison_df_fixed['Duration_Diff'] > 0]\n",
|
|
" if len(positive_diff) > 0:\n",
|
|
" top_pos_diff = positive_diff.nlargest(10, 'Duration_Diff')[['Task_ID', 'Duration_1', 'Duration_2', 'Duration_Diff', 'Accelerator']]\n",
|
|
" print(top_pos_diff.to_string(index=False))\n",
|
|
" else:\n",
|
|
" print(\"No tasks with positive duration differences found\")\n",
|
|
" \n",
|
|
" print(\"\\nTop 10 tasks with largest negative duration differences:\")\n",
|
|
" negative_diff = comparison_df_fixed[comparison_df_fixed['Duration_Diff'] < 0]\n",
|
|
" if len(negative_diff) > 0:\n",
|
|
" top_neg_diff = negative_diff.nsmallest(10, 'Duration_Diff')[['Task_ID', 'Duration_1', 'Duration_2', 'Duration_Diff', 'Accelerator']]\n",
|
|
" print(top_neg_diff.to_string(index=False))\n",
|
|
" else:\n",
|
|
" print(\"No tasks with negative duration differences found\")\n",
|
|
" \n",
|
|
" # Show tasks with exact matches (zero difference)\n",
|
|
" zero_diff = comparison_df_fixed[comparison_df_fixed['Duration_Diff'] == 0.0]\n",
|
|
" print(f\"\\nTasks with exactly matching durations: {len(zero_diff)}\")\n",
|
|
" if len(zero_diff) > 0:\n",
|
|
" print(\"Sample of tasks with zero difference:\")\n",
|
|
" print(zero_diff[['Task_ID', 'Duration_1', 'Duration_2', 'Duration_Diff', 'Accelerator']].head(10).to_string(index=False))\n",
|
|
" \n",
|
|
" return comparison_df_fixed, df1_fixed, df2_fixed\n",
|
|
"\n",
|
|
"# Run the fixed analysis\n",
|
|
"comparison_df_fixed, df1_fixed, df2_fixed = analyze_differences_fixed()"
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|
]
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},
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"text": "Duration Ratio"
|
|
}
|
|
},
|
|
"yaxis": {
|
|
"anchor": "x",
|
|
"domain": [
|
|
0.625,
|
|
1
|
|
],
|
|
"title": {
|
|
"text": "Dataset 2 Duration"
|
|
}
|
|
},
|
|
"yaxis2": {
|
|
"anchor": "x2",
|
|
"domain": [
|
|
0.625,
|
|
1
|
|
],
|
|
"title": {
|
|
"text": "Duration Difference"
|
|
}
|
|
},
|
|
"yaxis3": {
|
|
"anchor": "x3",
|
|
"domain": [
|
|
0,
|
|
0.375
|
|
],
|
|
"title": {
|
|
"text": "Dataset 2 Start Time"
|
|
}
|
|
},
|
|
"yaxis4": {
|
|
"anchor": "x4",
|
|
"domain": [
|
|
0,
|
|
0.375
|
|
],
|
|
"title": {
|
|
"text": "Frequency"
|
|
}
|
|
}
|
|
}
|
|
}
|
|
},
|
|
"metadata": {},
|
|
"output_type": "display_data"
|
|
},
|
|
{
|
|
"name": "stdout",
|
|
"output_type": "stream",
|
|
"text": [
|
|
"=== DISTRIBUTION ANALYSIS OF DIFFERENCES ===\n",
|
|
"Duration Difference Statistics:\n",
|
|
"count 70.000000\n",
|
|
"mean -2.700000\n",
|
|
"std 9.737645\n",
|
|
"min -53.000000\n",
|
|
"25% 0.000000\n",
|
|
"50% 0.000000\n",
|
|
"75% 0.000000\n",
|
|
"max 0.000000\n",
|
|
"Name: Duration_Diff, dtype: float64\n",
|
|
"\n",
|
|
"Task Distribution:\n",
|
|
"Tasks with longer duration in simulation: 0\n",
|
|
"Tasks with shorter duration in simulation: 7\n",
|
|
"Tasks with identical duration: 63\n",
|
|
"\n",
|
|
"Duration Differences by Accelerator:\n",
|
|
" mean std count\n",
|
|
"Accelerator \n",
|
|
"0 0.000000 0.000000 14\n",
|
|
"1 -1.000000 4.242641 18\n",
|
|
"2 -1.055556 4.478343 18\n",
|
|
"3 -2.714286 7.181325 7\n",
|
|
"4 -3.333333 5.773503 3\n",
|
|
"6 -5.666667 9.814955 3\n",
|
|
"7 -17.666667 30.599564 3\n",
|
|
"10 -13.250000 26.500000 4\n"
|
|
]
|
|
}
|
|
],
|
|
"source": [
|
|
"def create_improved_difference_plots(comparison_df_fixed):\n",
|
|
" \"\"\"Create improved plots with the fixed data\"\"\"\n",
|
|
" \n",
|
|
" fig = make_subplots(\n",
|
|
" rows=2, cols=2,\n",
|
|
" subplot_titles=('Duration Comparison (Fixed)', 'Duration Differences (Fixed)', \n",
|
|
" 'Start Time Comparison (Fixed)', 'Duration Ratio Distribution (Fixed)'),\n",
|
|
" specs=[[{\"secondary_y\": False}, {\"secondary_y\": False}],\n",
|
|
" [{\"secondary_y\": False}, {\"secondary_y\": False}]]\n",
|
|
" )\n",
|
|
" \n",
|
|
" # Duration comparison scatter plot\n",
|
|
" fig.add_trace(\n",
|
|
" go.Scatter(\n",
|
|
" x=comparison_df_fixed['Duration_1'],\n",
|
|
" y=comparison_df_fixed['Duration_2'],\n",
|
|
" mode='markers',\n",
|
|
" name='Duration Comparison',\n",
|
|
" text=comparison_df_fixed['Task_ID'],\n",
|
|
" hovertemplate='<b>Task %{text}</b><br>' +\n",
|
|
" 'Dataset 1: %{x:.1f}<br>' +\n",
|
|
" 'Dataset 2: %{y:.1f}<br>' +\n",
|
|
" 'Difference: %{customdata:.1f}<br>' +\n",
|
|
" '<extra></extra>',\n",
|
|
" customdata=comparison_df_fixed['Duration_Diff'],\n",
|
|
" marker=dict(size=8, color='blue', opacity=0.6)\n",
|
|
" ),\n",
|
|
" row=1, col=1\n",
|
|
" )\n",
|
|
" \n",
|
|
" # Add diagonal line for reference\n",
|
|
" max_duration = max(comparison_df_fixed['Duration_1'].max(), comparison_df_fixed['Duration_2'].max())\n",
|
|
" fig.add_trace(\n",
|
|
" go.Scatter(\n",
|
|
" x=[0, max_duration],\n",
|
|
" y=[0, max_duration],\n",
|
|
" mode='lines',\n",
|
|
" name='Equal Duration',\n",
|
|
" line=dict(dash='dash', color='red'),\n",
|
|
" showlegend=False\n",
|
|
" ),\n",
|
|
" row=1, col=1\n",
|
|
" )\n",
|
|
" \n",
|
|
" # Duration differences bar chart\n",
|
|
" # Color bars based on positive/negative differences\n",
|
|
" bar_colors = ['green' if x > 0 else 'red' if x < 0 else 'gray' for x in comparison_df_fixed['Duration_Diff']]\n",
|
|
" \n",
|
|
" fig.add_trace(\n",
|
|
" go.Bar(\n",
|
|
" x=comparison_df_fixed['Task_ID'],\n",
|
|
" y=comparison_df_fixed['Duration_Diff'],\n",
|
|
" name='Duration Difference',\n",
|
|
" marker=dict(color=bar_colors),\n",
|
|
" hovertemplate='<b>Task %{x}</b><br>' +\n",
|
|
" 'Difference: %{y:.1f}<br>' +\n",
|
|
" '<extra></extra>'\n",
|
|
" ),\n",
|
|
" row=1, col=2\n",
|
|
" )\n",
|
|
" \n",
|
|
" # Start time comparison\n",
|
|
" fig.add_trace(\n",
|
|
" go.Scatter(\n",
|
|
" x=comparison_df_fixed['Start_1_Norm'],\n",
|
|
" y=comparison_df_fixed['Start_2_Norm'],\n",
|
|
" mode='markers',\n",
|
|
" name='Start Time Comparison',\n",
|
|
" text=comparison_df_fixed['Task_ID'],\n",
|
|
" hovertemplate='<b>Task %{text}</b><br>' +\n",
|
|
" 'Dataset 1: %{x:.1f}<br>' +\n",
|
|
" 'Dataset 2: %{y:.1f}<br>' +\n",
|
|
" 'Difference: %{customdata:.1f}<br>' +\n",
|
|
" '<extra></extra>',\n",
|
|
" customdata=comparison_df_fixed['Start_Diff_Norm'],\n",
|
|
" marker=dict(size=8, color='orange', opacity=0.6)\n",
|
|
" ),\n",
|
|
" row=2, col=1\n",
|
|
" )\n",
|
|
" \n",
|
|
" # Add diagonal line for start time reference\n",
|
|
" max_start = max(comparison_df_fixed['Start_1_Norm'].max(), comparison_df_fixed['Start_2_Norm'].max())\n",
|
|
" fig.add_trace(\n",
|
|
" go.Scatter(\n",
|
|
" x=[0, max_start],\n",
|
|
" y=[0, max_start],\n",
|
|
" mode='lines',\n",
|
|
" name='Equal Start Time',\n",
|
|
" line=dict(dash='dash', color='red'),\n",
|
|
" showlegend=False\n",
|
|
" ),\n",
|
|
" row=2, col=1\n",
|
|
" )\n",
|
|
" \n",
|
|
" # Duration ratio histogram (filter out infinite values)\n",
|
|
" finite_ratios = comparison_df_fixed[comparison_df_fixed['Duration_Ratio'] != float('inf')]['Duration_Ratio']\n",
|
|
" \n",
|
|
" fig.add_trace(\n",
|
|
" go.Histogram(\n",
|
|
" x=finite_ratios,\n",
|
|
" nbinsx=30,\n",
|
|
" name='Duration Ratio Distribution',\n",
|
|
" marker=dict(color='purple', opacity=0.7),\n",
|
|
" hovertemplate='Ratio: %{x:.2f}<br>' +\n",
|
|
" 'Count: %{y}<br>' +\n",
|
|
" '<extra></extra>'\n",
|
|
" ),\n",
|
|
" row=2, col=2\n",
|
|
" )\n",
|
|
" \n",
|
|
" # Add vertical line at ratio = 1 for reference\n",
|
|
" fig.add_vline(x=1, line_dash=\"dash\", line_color=\"red\", row=2, col=2)\n",
|
|
" \n",
|
|
" fig.update_layout(\n",
|
|
" title=\"Detailed Comparison Analysis (Fixed Data Types)\",\n",
|
|
" height=800,\n",
|
|
" showlegend=False\n",
|
|
" )\n",
|
|
" \n",
|
|
" fig.update_xaxes(title_text=\"Dataset 1 Duration\", row=1, col=1)\n",
|
|
" fig.update_yaxes(title_text=\"Dataset 2 Duration\", row=1, col=1)\n",
|
|
" fig.update_xaxes(title_text=\"Task ID\", row=1, col=2)\n",
|
|
" fig.update_yaxes(title_text=\"Duration Difference\", row=1, col=2)\n",
|
|
" fig.update_xaxes(title_text=\"Dataset 1 Start Time\", row=2, col=1)\n",
|
|
" fig.update_yaxes(title_text=\"Dataset 2 Start Time\", row=2, col=1)\n",
|
|
" fig.update_xaxes(title_text=\"Duration Ratio\", row=2, col=2)\n",
|
|
" fig.update_yaxes(title_text=\"Frequency\", row=2, col=2)\n",
|
|
" \n",
|
|
" return fig\n",
|
|
"\n",
|
|
"def create_distribution_analysis():\n",
|
|
" \"\"\"Analyze the distribution of differences\"\"\"\n",
|
|
" \n",
|
|
" print(\"=== DISTRIBUTION ANALYSIS OF DIFFERENCES ===\")\n",
|
|
" \n",
|
|
" # Basic statistics\n",
|
|
" diff_stats = comparison_df_fixed['Duration_Diff'].describe()\n",
|
|
" print(\"Duration Difference Statistics:\")\n",
|
|
" print(diff_stats)\n",
|
|
" \n",
|
|
" # Count tasks in different categories\n",
|
|
" positive_diff = len(comparison_df_fixed[comparison_df_fixed['Duration_Diff'] > 0])\n",
|
|
" negative_diff = len(comparison_df_fixed[comparison_df_fixed['Duration_Diff'] < 0])\n",
|
|
" zero_diff = len(comparison_df_fixed[comparison_df_fixed['Duration_Diff'] == 0])\n",
|
|
" \n",
|
|
" print(f\"\\nTask Distribution:\")\n",
|
|
" print(f\"Tasks with longer duration in simulation: {positive_diff}\")\n",
|
|
" print(f\"Tasks with shorter duration in simulation: {negative_diff}\")\n",
|
|
" print(f\"Tasks with identical duration: {zero_diff}\")\n",
|
|
" \n",
|
|
" # Analyze by accelerator\n",
|
|
" if 'Accelerator' in comparison_df_fixed.columns:\n",
|
|
" print(f\"\\nDuration Differences by Accelerator:\")\n",
|
|
" accel_analysis = comparison_df_fixed.groupby('Accelerator')['Duration_Diff'].agg(['mean', 'std', 'count'])\n",
|
|
" print(accel_analysis)\n",
|
|
" \n",
|
|
" return diff_stats\n",
|
|
"\n",
|
|
"# Create improved visualizations\n",
|
|
"improved_fig = create_improved_difference_plots(comparison_df_fixed)\n",
|
|
"improved_fig.show()\n",
|
|
"\n",
|
|
"# Perform distribution analysis\n",
|
|
"dist_stats = create_distribution_analysis()"
|
|
]
|
|
}
|
|
],
|
|
"metadata": {
|
|
"kernelspec": {
|
|
"display_name": "env",
|
|
"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": "3.10.12"
|
|
}
|
|
},
|
|
"nbformat": 4,
|
|
"nbformat_minor": 5
|
|
}
|