notebook_examples/graph_insight-autonomous_database.ipynb

{
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   "cell_type": "raw",
   "id": "a36a56d8",
   "metadata": {},
   "source": [
    "@notebook{graph_insight-autonomous_database.ipynb,\n",
    "    title: Bank Graph Example Notebook,\n",
    "    summary: Access ,\n",
    "    developed_on: pypgx2310_p38_cpu_v1,\n",
    "    keywords: graph_insight, autonomous_database,\n",
    "    license: Universal Permissive License v 1.0\n",
    "}"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "id": "331a1b1c",
   "metadata": {},
   "source": [
    "***\n",
    "\n",
    "# <font color=red>Bank Graph Example Notebook</font>\n",
    "<p style=\"margin-left:10%; margin-right:10%;\"><font color=teal>by Rahul Tasker</font></p>\n",
    "\n",
    "***\n",
    "\n",
    "Oracle Data Science service sample notebook.\n",
    "\n",
    "Copyright (c) 2021, 2022 Oracle, Inc. All rights reserved. Licensed under the [Universal Permissive License v 1.0](https://oss.oracle.com/licenses/upl).\n",
    "\n",
    "\n",
    "\n",
    "# Overview:\n",
    "\n",
    "This notebook shows how we can access graphs in an autonomous database instance. We can then run algorithms on and query the graph. From the result set, we can transform the result set using common datascience tools like pandas, and pyplot.\n",
    "\n",
    "Compatible conda pack: [Parallel Graph AnalytiX 23.1 and Oracle Property Graph 23.1 for CPU on Python 3.8](https://docs.oracle.com/en-us/iaas/data-science/using/conda-database-fam.htm) for CPU on Python 3.8 (version 1.0)\n",
    "\n",
    "---\n",
    "\n",
    "## Step 1: Import required libraries\n",
    "This can also be done at any point in the notebook, but for simplicity, we can import all necessary libraries at the start to use them throughout the rest of the notebook."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "89d39d6c",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "SLF4J: Class path contains multiple SLF4J bindings.\n",
      "SLF4J: Found binding in [jar:file:/home/datascience/conda/pypgx2310_p38_cpu_v1/lib/python3.8/site-packages/pypgx/jars/log4j-slf4j-impl-2.17.1.jar!/org/slf4j/impl/StaticLoggerBinder.class]\n",
      "SLF4J: Found binding in [jar:file:/home/datascience/conda/pypgx2310_p38_cpu_v1/lib/python3.8/site-packages/opg4py/jars/logback-classic-1.2.10.jar!/org/slf4j/impl/StaticLoggerBinder.class]\n",
      "SLF4J: See http://www.slf4j.org/codes.html#multiple_bindings for an explanation.\n",
      "SLF4J: Actual binding is of type [org.apache.logging.slf4j.Log4jLoggerFactory]\n"
     ]
    }
   ],
   "source": [
    "from opg4py.adb import AdbClient\n",
    "import pandas\n",
    "import matplotlib.pyplot as plt\n",
    "import oracledb\n",
    "import opg4py\n",
    "import csv"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "id": "302136aa",
   "metadata": {},
   "source": [
    "## Step 2: Gather Connection Information and Connect to ADB\n",
    "This notebook assumes that you have an Autonomous Database instance with a graph enabled user. If you have not, you can create an instance with a graph user automatically by clicking 'Deploy to Oracle Cloud' on this [reference architecture](https://docs.oracle.com/en/solutions/oci-adb-graph-analytics/index.html). \n",
    "<br/><br/>\n",
    "The following paragraphs require that you gather some information from your OCI environment. This will allow the notebook to connect to your ADB instance. In the following paragraphs, replace any string enclosed by `<>` with the appropriate string. For example, replace `'<graph_user>'` with `'GRAPHUSER'`, assuming that is the name of your graph enabled user.\n",
    "<br/><br/>\n",
    "If your ADB instance has MTLS enabled, you will need to download the wallet and unzip it in a directory that is accessible from this notebook. If you have disabled MTLS, there are alternative connection options in the comments of these paragraphs. Be sure that your network rules allow you to connect to your ADB instance from this environment.\n",
    "<br/><br/>\n",
    "The paragraphs create the config for an Autonomous Database connection, creates a client connection, checks if the graph client is attached, starts the Graph Studio environment, and checks what user started the job creation job for Graph Studio. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "886e2e90",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Set environment variables\n",
    "\n",
    "db_username = '<graph_user>'\n",
    "db_password = '<graph_user_password>'\n",
    "#connection_string = '<service_name>?TNS_ADMIN=/path/to/unzipped/wallet_dir'\n",
    "connection_string = \"\"\"(description=(retry_count=20)(retry_delay=3)(address=(protocol=tcps)(port=1521)(host=<host_url>))(connect_data=(service_name=<service_name>))(security=(ssl_server_dn_match=yes)))\"\"\"\n",
    "jdbc_url = 'jdbc:oracle:thin:@' + connection_string\n",
    "\n",
    "tenancy_ocid = '<tenancy_ocid>'\n",
    "database_name = '<autonomous_database_name>'\n",
    "database_ocid = '<autonomous_databse_ocid>'\n",
    "endpoint = 'https://<hostname-prefix>.adb.<region>.oraclecloudapps.com/'\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "da8f4477",
   "metadata": {},
   "outputs": [],
   "source": [
    "pgql_connection = opg4py.pgql.get_connection(db_username, db_password, jdbc_url)\n",
    "pgql_statement = pgql_connection.create_statement()\n",
    "\n",
    "oracledb.init_oracle_client()\n",
    "\n",
    "# If you are using a wallet-based connection, use the below connection sytnax\n",
    "# connection=oracledb.connect(\n",
    "#      user=db_username,\n",
    "#      password=db_password,\n",
    "#      dsn=connection_string,\n",
    "#      config_dir=<path to wallet directory>,\n",
    "#      wallet_location=<path to wallet directory>,\n",
    "#      wallet_password=<wallet password>)\n",
    "\n",
    "# If you have MTLS disabled, you can use the following connection sytnax\n",
    "connection = oracledb.connect(\n",
    "    user=db_username,\n",
    "    password=db_password,\n",
    "    dsn=connection_string)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "c6d17720",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<opg4py.adb.AdbClient at 0x7f7bfc07b370>"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "config = {\n",
    "          'tenancy_ocid': tenancy_ocid,\n",
    "          'database': database_name,\n",
    "          'database_ocid': database_ocid,\n",
    "          'username': db_username,\n",
    "          'password': db_password,\n",
    "          'endpoint': endpoint\n",
    " }\n",
    "\n",
    "client = AdbClient(config)\n",
    "client.__enter__()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "43310f67",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Environment is already attached\n"
     ]
    }
   ],
   "source": [
    "if(not client.is_attached()):\n",
    "    job = client.start_environment(10)\n",
    "    job.get()\n",
    "    job.get_name()\n",
    "    print('Environment is now attached')\n",
    "else:\n",
    "    print('Environment is already attached')"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "id": "eede6112",
   "metadata": {},
   "source": [
    "## Step 3: Load Dataset and Create Property Graph\n",
    "\n",
    "The following paragraphs will load the dataset into tables in your Autonomous Database instance, and run a Create Property Graph statement, to create the graph from the dataset."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "c767ca13",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Collect the remote banking data\n",
    "import pandas as pd\n",
    "\n",
    "accounts_url  = \"https://github.com/oracle-samples/pgx-samples/blob/pgql-samples/23c-graph-demos/BankGraphDataset/BANK_ACCOUNTS.csv?raw=true\"\n",
    "transfers_url = \"https://github.com/oracle-samples/pgx-samples/blob/pgql-samples/23c-graph-demos/BankGraphDataset/BANK_TRANSFERS.csv?raw=true\"\n",
    "\n",
    "accounts = pd.read_csv(accounts_url, dtype=str).values.tolist()\n",
    "transfers = pd.read_csv(transfers_url, dtype=str).values.tolist()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "8aa3d010",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Set up tables and property graphs. \n",
    "\n",
    "# IMPORTANT: This cell will remove any existing tables and graphs corresponding to the \n",
    "#            names listed. Doing so allows one to run this notebook multiple times.\n",
    "\n",
    "# Function to verify if a table exists for the current user\n",
    "def table_exists(tablename):\n",
    "    with connection.cursor() as cursor:\n",
    "        cursor.execute(\"\"\"SELECT TABLE_NAME FROM USER_TABLES WHERE TABLE_NAME = :x1\"\"\", [tablename])\n",
    "        return cursor.fetchone() is not None\n",
    "\n",
    "# Function to execute a sql statement (create, insert, update, drop)  \n",
    "def execute_statement(statement):\n",
    "    with connection.cursor() as cursor:\n",
    "        cursor.execute(statement)\n",
    "\n",
    "if table_exists(\"BANK_TRANSFERS\"):\n",
    "    execute_statement(\"DROP TABLE BANK_TRANSFERS\")\n",
    "    \n",
    "if table_exists(\"BANK_ACCOUNTS\"):\n",
    "    execute_statement(\"DROP TABLE BANK_ACCOUNTS\")\n",
    "    \n",
    "# Drop an existing property graph\n",
    "pgql_statement = pgql_connection.create_statement()\n",
    "try:\n",
    "    pgql_statement.execute(\"\"\"DROP PROPERTY GRAPH bank_graph\"\"\")\n",
    "except:\n",
    "    pass\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "7e72adbd",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Create BANK_ACCOUNTS table if it does not already exist\n",
    "if not table_exists('BANK_ACCOUNTS'):\n",
    "    s = '''CREATE TABLE BANK_ACCOUNTS (\n",
    "                ID              NUMBER,\n",
    "                NAME            VARCHAR(400),\n",
    "                BALANCE         NUMBER(20,2)\n",
    "            )'''\n",
    "    execute_statement(s)\n",
    "    \n",
    "with connection.cursor() as cursor:\n",
    "    cursor.executemany('''INSERT INTO BANK_ACCOUNTS VALUES(:x1, :x2, :x3)''', accounts)\n",
    "\n",
    "    \n",
    "# Create BANK_TRANSFERS table if it does not already exist\n",
    "if not table_exists('BANK_TRANSFERS'):\n",
    "    s = '''CREATE TABLE BANK_TRANSFERS (\n",
    "                TXN_ID          NUMBER,\n",
    "                SRC_ACCT_ID     NUMBER,\n",
    "                DST_ACCT_ID     NUMBER,\n",
    "                DESCRIPTION     VARCHAR(400),\n",
    "                AMOUNT          NUMBER\n",
    "            )'''\n",
    "    execute_statement(s)\n",
    "\n",
    "with connection.cursor() as cursor:\n",
    "    cursor.executemany('''INSERT INTO BANK_TRANSFERS VALUES(:x1, :x2, :x3, :x4, :x5)''', transfers) \n",
    "\n",
    "\n",
    "# Add constraints\n",
    "constraints = ['ALTER TABLE BANK_ACCOUNTS ADD PRIMARY KEY (ID)', 'ALTER TABLE BANK_TRANSFERS ADD PRIMARY KEY (TXN_ID)', 'ALTER TABLE BANK_TRANSFERS MODIFY SRC_ACCT_ID REFERENCES BANK_ACCOUNTS (ID)', 'ALTER TABLE BANK_TRANSFERS MODIFY DST_ACCT_ID REFERENCES BANK_ACCOUNTS (ID)']\n",
    "for constraint in constraints: \n",
    "    execute_statement(constraint)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "cdad8ff3",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "False"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Create a property graph view on bank_accounts and bank_transfers\n",
    "    \n",
    "statement = \"\"\"CREATE PROPERTY GRAPH bank_graph \n",
    "    VERTEX TABLES (\n",
    "        BANK_ACCOUNTS\n",
    "        KEY (ID)\n",
    "        PROPERTIES (ID, Name, Balance) \n",
    "    )\n",
    "    EDGE TABLES (\n",
    "        BANK_TRANSFERS \n",
    "        KEY (TXN_ID) \n",
    "        SOURCE KEY (src_acct_id) REFERENCES BANK_ACCOUNTS(ID)\n",
    "        DESTINATION KEY (dst_acct_id) REFERENCES BANK_ACCOUNTS(ID)\n",
    "        PROPERTIES (src_acct_id, dst_acct_id, amount)\n",
    "    ) OPTIONS (PG_VIEW) \"\"\"\n",
    "\n",
    "pgql_statement.execute(statement)\n"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "id": "6ecc20e1",
   "metadata": {},
   "source": [
    "## Step 4: Create PGX Session and Load Bank Graph into Memory\n",
    "\n",
    "The next paragraph creates a pgx session. The paragraph after checks if the Bank Graph is already loaded into memory, if it is not, it is loaded."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "770fa9a8",
   "metadata": {},
   "outputs": [],
   "source": [
    "instance = client.get_pgx_instance()\n",
    "session = instance.create_session(\"adb-session\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "7ff736c9",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Graph BANK_GRAPH successfully loaded\n"
     ]
    }
   ],
   "source": [
    "GRAPH_NAME=\"BANK_GRAPH\";\n",
    "# try getting the graph from the in-memory graph server\n",
    "graph = session.get_graph(GRAPH_NAME);\n",
    "# if it does not exist read it into memory\n",
    "if (graph == None) :\n",
    "    session.read_graph_by_name(GRAPH_NAME, \"pg_view\")\n",
    "    print(\"Graph \"+ GRAPH_NAME + \" successfully loaded\")\n",
    "    graph = session.get_graph(GRAPH_NAME);\n",
    "else :\n",
    "    print(\"Graph '\"+ GRAPH_NAME + \"' already loaded\");"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "id": "e60acd2c",
   "metadata": {},
   "source": [
    "## Step 5: Run PageRank Algorithm\n",
    "\n",
    "Pagerank measures the importance of each node within the graph, based on the number incoming relationships and the importance of the corresponding source nodes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "7d4692be",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "VertexProperty(name: pagerank, type: double, graph: BANK_GRAPH)"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "analyst = session.create_analyst()\n",
    "analyst.pagerank(graph)"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "id": "211c60eb",
   "metadata": {},
   "source": [
    "## Step 6: Query Graph"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "cb42f39a",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "+------------------------------+\n",
      "| id   | pagerank              |\n",
      "+------------------------------+\n",
      "| 1    | 2.1326167755084552E-4 |\n",
      "| 2    | 9.748675243734766E-4  |\n",
      "| 3    | 1.7983500000000002E-4 |\n",
      "| 4    | 0.004576976478097234  |\n",
      "| 5    | 1.5000000000000001E-4 |\n",
      "| 6    | 5.353395438612155E-4  |\n",
      "| 7    | 4.792084983734147E-4  |\n",
      "| 8    | 0.0013043345794813302 |\n",
      "| 9    | 4.522665253472895E-4  |\n",
      "| 10   | 0.001502117014779663  |\n",
      "| 11   | 3.5429903308395303E-4 |\n",
      "| 12   | 0.0010233112946381514 |\n",
      "| 13   | 0.004442039241845869  |\n",
      "| 14   | 1.5000000000000001E-4 |\n",
      "| 15   | 3.646016316008686E-4  |\n",
      "| 16   | 1.5000000000000001E-4 |\n",
      "| 17   | 8.297194566709335E-4  |\n",
      "| 18   | 4.6771412044819107E-4 |\n",
      "| 19   | 0.0013126022053042005 |\n",
      "| 20   | 3.748583285945889E-4  |\n",
      "| 21   | 2.71786464817095E-4   |\n",
      "| 22   | 4.978740859417255E-4  |\n",
      "| 23   | 6.389910985428128E-4  |\n",
      "| 24   | 8.099717847755725E-4  |\n",
      "| 25   | 0.0010285248604570017 |\n",
      "| 26   | 1.5000000000000001E-4 |\n",
      "| 27   | 0.0018968861989483012 |\n",
      "| 28   | 6.729248409812468E-4  |\n",
      "| 29   | 0.003972117149177758  |\n",
      "| 30   | 1.755E-4              |\n",
      "| 31   | 0.0012057185854920521 |\n",
      "| 32   | 3.895537290396257E-4  |\n",
      "| 33   | 3.5998874353874934E-4 |\n",
      "| 34   | 1.5000000000000001E-4 |\n",
      "| 35   | 0.0016395105456972656 |\n",
      "| 36   | 1.755E-4              |\n",
      "| 37   | 3.96331164508398E-4   |\n",
      "| 38   | 0.001385917321484572  |\n",
      "| 39   | 8.012332466306598E-4  |\n",
      "| 40   | 0.0017030381796795389 |\n",
      "| 41   | 4.946843258681017E-4  |\n",
      "| 42   | 3.326563924492382E-4  |\n",
      "| 43   | 1.755E-4              |\n",
      "| 44   | 1.5000000000000001E-4 |\n",
      "| 45   | 0.0012726009823929793 |\n",
      "| 46   | 3.582339594234442E-4  |\n",
      "| 47   | 2.1449249824631738E-4 |\n",
      "| 48   | 1.755E-4              |\n",
      "| 49   | 0.0021175210365861775 |\n",
      "| 50   | 0.0010478522617430514 |\n",
      "| 51   | 3.3980474285809554E-4 |\n",
      "| 52   | 2.1340319461536536E-4 |\n",
      "| 53   | 0.001223134393953222  |\n",
      "| 54   | 0.0011610386282149825 |\n",
      "| 55   | 1.5000000000000001E-4 |\n",
      "| 56   | 0.002315116569894699  |\n",
      "| 57   | 0.002726448773817838  |\n",
      "| 58   | 0.001293038260184163  |\n",
      "| 59   | 6.989732990090995E-4  |\n",
      "| 60   | 0.0016712116975273188 |\n",
      "| 61   | 1.5000000000000001E-4 |\n",
      "| 62   | 3.2418181580894806E-4 |\n",
      "| 63   | 0.0023990003823770533 |\n",
      "| 64   | 1.5000000000000001E-4 |\n",
      "| 65   | 0.0011639028317212462 |\n",
      "| 66   | 0.004444095456397746  |\n",
      "| 67   | 3.4851138262749254E-4 |\n",
      "| 68   | 7.449840593903312E-4  |\n",
      "| 69   | 1.5000000000000001E-4 |\n",
      "| 70   | 3.476433658291606E-4  |\n",
      "| 71   | 0.0037947569721975896 |\n",
      "| 72   | 1.806972315E-4        |\n",
      "| 73   | 4.659353926920214E-4  |\n",
      "| 74   | 6.807365059575349E-4  |\n",
      "| 75   | 1.5000000000000001E-4 |\n",
      "| 76   | 0.0024724042122973296 |\n",
      "| 77   | 2.422118408535039E-4  |\n",
      "| 78   | 0.0017963546249832546 |\n",
      "| 79   | 2.1545060516211384E-4 |\n",
      "| 80   | 0.001317643500846372  |\n",
      "| 81   | 2.1821641088420714E-4 |\n",
      "| 82   | 4.205118960548723E-4  |\n",
      "| 83   | 9.496757130613908E-4  |\n",
      "| 84   | 1.5000000000000001E-4 |\n",
      "| 85   | 0.00105454684036817   |\n",
      "| 86   | 1.5000000000000001E-4 |\n",
      "| 87   | 1.7983500000000002E-4 |\n",
      "| 88   | 0.0022995375716389813 |\n",
      "| 89   | 9.935310081154115E-4  |\n",
      "| 90   | 1.5000000000000001E-4 |\n",
      "| 91   | 0.0034070606120254515 |\n",
      "| 92   | 1.5000000000000001E-4 |\n",
      "| 93   | 1.5000000000000001E-4 |\n",
      "| 94   | 0.002530684925941562  |\n",
      "| 95   | 0.002062791785435405  |\n",
      "| 96   | 4.7970108597851805E-4 |\n",
      "| 97   | 1.5000000000000001E-4 |\n",
      "| 98   | 3.280795741138205E-4  |\n",
      "| 99   | 2.5714763389914324E-4 |\n",
      "| 100  | 1.5000000000000001E-4 |\n",
      "| 101  | 0.001696730150316408  |\n",
      "| 102  | 0.002001295652488288  |\n",
      "| 103  | 1.8057195000000003E-4 |\n",
      "| 104  | 6.37099219193991E-4   |\n",
      "| 105  | 1.5000000000000001E-4 |\n",
      "| 106  | 1.5000000000000001E-4 |\n",
      "| 107  | 1.5000000000000001E-4 |\n",
      "| 108  | 1.5000000000000001E-4 |\n",
      "| 109  | 0.0013910231777965161 |\n",
      "| 110  | 4.2959252676864847E-4 |\n",
      "| 111  | 1.5000000000000001E-4 |\n",
      "| 112  | 8.646480466075563E-4  |\n",
      "| 113  | 1.5000000000000001E-4 |\n",
      "| 114  | 5.547534701711239E-4  |\n",
      "| 115  | 1.5000000000000001E-4 |\n",
      "| 116  | 1.5000000000000001E-4 |\n",
      "| 117  | 0.0013796234811311342 |\n",
      "| 118  | 0.003398682090322604  |\n",
      "| 119  | 5.922458229765703E-4  |\n",
      "| 120  | 7.623994866785737E-4  |\n",
      "| 121  | 1.5000000000000001E-4 |\n",
      "| 122  | 0.0014327009011371938 |\n",
      "| 123  | 0.0028490500492319853 |\n",
      "| 124  | 6.221720509339123E-4  |\n",
      "| 125  | 0.0019081425126153304 |\n",
      "| 126  | 9.936774782663515E-4  |\n",
      "| 127  | 6.075045847770697E-4  |\n",
      "| 128  | 5.901329589457997E-4  |\n",
      "| 129  | 7.82575482550013E-4   |\n",
      "| 130  | 0.0029352032690842253 |\n",
      "| 131  | 0.0020888831336999198 |\n",
      "| 132  | 1.5000000000000001E-4 |\n",
      "| 133  | 4.318108228047601E-4  |\n",
      "| 134  | 0.0010617314120881093 |\n",
      "| 135  | 0.006725965475577353  |\n",
      "| 136  | 0.0010587283916629034 |\n",
      "| 137  | 3.5420323521224084E-4 |\n",
      "| 138  | 0.0015755482616655713 |\n",
      "| 139  | 0.0018497554750842103 |\n",
      "| 140  | 0.002149003207147232  |\n",
      "| 141  | 4.2053388132379363E-4 |\n",
      "| 142  | 1.5000000000000001E-4 |\n",
      "| 143  | 6.479898333417167E-4  |\n",
      "| 144  | 0.002193459780641882  |\n",
      "| 145  | 0.0012613603887763644 |\n",
      "| 146  | 0.0014099780298762335 |\n",
      "| 147  | 1.5000000000000001E-4 |\n",
      "| 148  | 1.5000000000000001E-4 |\n",
      "| 149  | 0.0015861084249944068 |\n",
      "| 150  | 0.001583617636707478  |\n",
      "| 151  | 4.34023061596418E-4   |\n",
      "| 152  | 0.0018928452595179635 |\n",
      "| 153  | 0.001862408517958302  |\n",
      "| 154  | 0.0014983663809584767 |\n",
      "| 155  | 0.001946042230006334  |\n",
      "| 156  | 2.4934215686345923E-4 |\n",
      "| 157  | 1.5000000000000001E-4 |\n",
      "| 158  | 1.5000000000000001E-4 |\n",
      "| 159  | 9.652096845770915E-4  |\n",
      "| 160  | 4.714350672166448E-4  |\n",
      "| 161  | 4.945024766732958E-4  |\n",
      "| 162  | 1.5000000000000001E-4 |\n",
      "| 163  | 4.6788727916809576E-4 |\n",
      "| 164  | 5.20558694376836E-4   |\n",
      "| 165  | 0.002488264350537811  |\n",
      "| 166  | 0.0017757168463744723 |\n",
      "| 167  | 6.759116171017163E-4  |\n",
      "| 168  | 5.028671095190643E-4  |\n",
      "| 169  | 3.600147591967927E-4  |\n",
      "| 170  | 2.2176772600292964E-4 |\n",
      "| 171  | 0.001992736525486441  |\n",
      "| 172  | 3.6096113007723135E-4 |\n",
      "| 173  | 1.5000000000000001E-4 |\n",
      "| 174  | 1.755E-4              |\n",
      "| 175  | 0.0012848316170613577 |\n",
      "| 176  | 1.5000000000000001E-4 |\n",
      "| 177  | 0.001180418864282505  |\n",
      "| 178  | 6.690918270908935E-4  |\n",
      "| 179  | 6.763339328533389E-4  |\n",
      "| 180  | 3.765195009778205E-4  |\n",
      "| 181  | 0.0020790781976760906 |\n",
      "| 182  | 2.0384326177061895E-4 |\n",
      "| 183  | 0.0011461036360667133 |\n",
      "| 184  | 7.401963367030229E-4  |\n",
      "| 185  | 2.8996358765112434E-4 |\n",
      "| 186  | 9.637791166353879E-4  |\n",
      "| 187  | 0.002701892934691178  |\n",
      "| 188  | 0.0029520120517413065 |\n",
      "| 189  | 1.5000000000000001E-4 |\n",
      "| 190  | 0.0029239080398692514 |\n",
      "| 191  | 5.368198859610688E-4  |\n",
      "| 192  | 0.001028659636881544  |\n",
      "| 193  | 2.05335E-4            |\n",
      "| 194  | 8.67595331454044E-4   |\n",
      "| 195  | 5.265642865096432E-4  |\n",
      "| 196  | 1.5000000000000001E-4 |\n",
      "| 197  | 4.534828595094568E-4  |\n",
      "| 198  | 1.5000000000000001E-4 |\n",
      "| 199  | 1.826223229476932E-4  |\n",
      "| 200  | 8.23081254427516E-4   |\n",
      "| 201  | 2.170797280434663E-4  |\n",
      "| 202  | 0.0010743325372942285 |\n",
      "| 203  | 0.001124273014462254  |\n",
      "| 204  | 8.505812406879544E-4  |\n",
      "| 205  | 0.0015343561259541527 |\n",
      "| 206  | 5.227803885674942E-4  |\n",
      "| 207  | 0.0018416686479996206 |\n",
      "| 208  | 0.001850292571698641  |\n",
      "| 209  | 2.1407045377763405E-4 |\n",
      "| 210  | 0.001385340851093483  |\n",
      "| 211  | 0.0010330532274003383 |\n",
      "| 212  | 0.0012263081295676992 |\n",
      "| 213  | 9.123501120948368E-4  |\n",
      "| 214  | 4.586815937875345E-4  |\n",
      "| 215  | 1.5000000000000001E-4 |\n",
      "| 216  | 4.6067733011515894E-4 |\n",
      "| 217  | 3.930679342427388E-4  |\n",
      "| 218  | 0.0021452776709204205 |\n",
      "| 219  | 3.295267718934759E-4  |\n",
      "| 220  | 1.755E-4              |\n",
      "| 221  | 0.0010885593883390502 |\n",
      "| 222  | 0.004690452540363832  |\n",
      "| 223  | 0.0015839346666021293 |\n",
      "| 224  | 5.430086573801395E-4  |\n",
      "| 225  | 0.00225199114830092   |\n",
      "| 226  | 0.0012668551748134457 |\n",
      "| 227  | 6.556710013351883E-4  |\n",
      "| 228  | 0.002687956803913707  |\n",
      "| 229  | 3.84012537170022E-4   |\n",
      "| 230  | 0.0011634609822175675 |\n",
      "| 231  | 0.0012360538689100333 |\n",
      "| 232  | 6.861493554700519E-4  |\n",
      "| 233  | 0.0010991769916025914 |\n",
      "| 234  | 1.5000000000000001E-4 |\n",
      "| 235  | 0.0011291920539990455 |\n",
      "| 236  | 6.517873884172617E-4  |\n",
      "| 237  | 6.176472351222455E-4  |\n",
      "| 238  | 3.706742535666822E-4  |\n",
      "| 239  | 1.5000000000000001E-4 |\n",
      "| 240  | 1.7983500000000002E-4 |\n",
      "| 241  | 0.003349759346341086  |\n",
      "| 242  | 0.0013794830249121784 |\n",
      "| 243  | 3.1767023462899433E-4 |\n",
      "| 244  | 1.5000000000000001E-4 |\n",
      "| 245  | 7.150280070139694E-4  |\n",
      "| 246  | 3.916145880842031E-4  |\n",
      "| 247  | 7.020681224911489E-4  |\n",
      "| 248  | 5.166762187340103E-4  |\n",
      "| 249  | 0.0013944480499916824 |\n",
      "| 250  | 8.714752540330386E-4  |\n",
      "| 251  | 0.0011484272834650052 |\n",
      "| 252  | 6.251829143243529E-4  |\n",
      "| 253  | 5.645772634455489E-4  |\n",
      "| 254  | 2.9657268157791324E-4 |\n",
      "| 255  | 0.0015381050579144034 |\n",
      "| 256  | 2.7591170204532736E-4 |\n",
      "| 257  | 4.997811600943257E-4  |\n",
      "| 258  | 0.0020205302361582496 |\n",
      "| 259  | 0.0035337428490575177 |\n",
      "| 260  | 1.5000000000000001E-4 |\n",
      "| 261  | 0.002721114741699112  |\n",
      "| 262  | 7.506203923152235E-4  |\n",
      "| 263  | 0.0021396928879613953 |\n",
      "| 264  | 0.002299285068190018  |\n",
      "| 265  | 4.873867007639883E-4  |\n",
      "| 266  | 1.5000000000000001E-4 |\n",
      "| 267  | 1.5000000000000001E-4 |\n",
      "| 268  | 5.303027103111895E-4  |\n",
      "| 269  | 3.7347594185106433E-4 |\n",
      "| 270  | 6.174125074545878E-4  |\n",
      "| 271  | 7.258500316667225E-4  |\n",
      "| 272  | 0.0020588759188856507 |\n",
      "| 273  | 0.0018775119433343714 |\n",
      "| 274  | 0.0025190886097153594 |\n",
      "| 275  | 2.267310905071786E-4  |\n",
      "| 276  | 0.001893204986022825  |\n",
      "| 277  | 1.5000000000000001E-4 |\n",
      "| 278  | 1.5000000000000001E-4 |\n",
      "| 279  | 0.0014743165665400354 |\n",
      "| 280  | 7.084351106633243E-4  |\n",
      "| 281  | 0.0012007101934775385 |\n",
      "| 282  | 0.0021462396977121544 |\n",
      "| 283  | 2.6996259655534446E-4 |\n",
      "| 284  | 0.001598767519899883  |\n",
      "| 285  | 0.0010370628777628074 |\n",
      "| 286  | 0.0019020510680484433 |\n",
      "| 287  | 0.0016106961815746355 |\n",
      "| 288  | 2.167724139111037E-4  |\n",
      "| 289  | 0.0018774223877333243 |\n",
      "| 290  | 2.2650000000000003E-4 |\n",
      "| 291  | 1.755E-4              |\n",
      "| 292  | 9.916780751159932E-4  |\n",
      "| 293  | 0.0018679157524284706 |\n",
      "| 294  | 0.0014765909210335303 |\n",
      "| 295  | 3.172464039260008E-4  |\n",
      "| 296  | 8.050392099648663E-4  |\n",
      "| 297  | 0.002200788383617496  |\n",
      "| 298  | 3.099723639290322E-4  |\n",
      "| 299  | 0.0028772904455408067 |\n",
      "| 300  | 1.933274982463174E-4  |\n",
      "| 301  | 0.004315328225156558  |\n",
      "| 302  | 3.9216157763514883E-4 |\n",
      "| 303  | 6.104771481430807E-4  |\n",
      "| 304  | 4.256106207739037E-4  |\n",
      "| 305  | 0.0024585723978996707 |\n",
      "| 306  | 8.906460192365999E-4  |\n",
      "| 307  | 1.5000000000000001E-4 |\n",
      "| 308  | 3.526090262565638E-4  |\n",
      "| 309  | 0.002649292713389747  |\n",
      "| 310  | 0.00230455451987542   |\n",
      "| 311  | 0.0023051899813516475 |\n",
      "| 312  | 9.43463801503622E-4   |\n",
      "| 313  | 0.0015960989102766934 |\n",
      "| 314  | 0.0010121787299988514 |\n",
      "| 315  | 1.9744207122269385E-4 |\n",
      "| 316  | 6.561823189465018E-4  |\n",
      "| 317  | 0.003309316010000449  |\n",
      "| 318  | 3.8481901893580887E-4 |\n",
      "| 319  | 1.5000000000000001E-4 |\n",
      "| 320  | 5.436004018698023E-4  |\n",
      "| 321  | 0.001278033066934403  |\n",
      "| 322  | 1.5000000000000001E-4 |\n",
      "| 323  | 0.0013996389185613467 |\n",
      "| 324  | 3.1651940065704955E-4 |\n",
      "| 325  | 0.0034443042775784203 |\n",
      "| 326  | 0.0019207805402605678 |\n",
      "| 327  | 0.0018778313410378635 |\n",
      "| 328  | 0.0016259022318975264 |\n",
      "| 329  | 2.4124934017317163E-4 |\n",
      "| 330  | 0.005097247981368168  |\n",
      "| 331  | 7.930756322600291E-4  |\n",
      "| 332  | 0.0020302656559362084 |\n",
      "| 333  | 7.675638911835622E-4  |\n",
      "| 334  | 8.873307022411159E-4  |\n",
      "| 335  | 0.0016490227236903943 |\n",
      "| 336  | 1.5000000000000001E-4 |\n",
      "| 337  | 6.618764550008433E-4  |\n",
      "| 338  | 6.931811947971547E-4  |\n",
      "| 339  | 0.0012426911820308435 |\n",
      "| 340  | 0.0021473459032735277 |\n",
      "| 341  | 5.355303906865519E-4  |\n",
      "| 342  | 0.0011651941414241407 |\n",
      "| 343  | 3.807955020308327E-4  |\n",
      "| 344  | 1.5000000000000001E-4 |\n",
      "| 345  | 2.846817379111735E-4  |\n",
      "| 346  | 2.9119376353973163E-4 |\n",
      "| 347  | 0.001534365598065439  |\n",
      "| 348  | 0.0023531934797608066 |\n",
      "| 349  | 1.8655425534191936E-4 |\n",
      "| 350  | 0.001293682172934201  |\n",
      "| 351  | 7.267752043200314E-4  |\n",
      "| 352  | 0.0052198516664610575 |\n",
      "| 353  | 3.938942578060052E-4  |\n",
      "| 354  | 1.755E-4              |\n",
      "| 355  | 6.035275734861157E-4  |\n",
      "| 356  | 9.6452910339383E-4    |\n",
      "| 357  | 1.5000000000000001E-4 |\n",
      "| 358  | 1.5000000000000001E-4 |\n",
      "| 359  | 0.003066662316696117  |\n",
      "| 360  | 2.998603527266229E-4  |\n",
      "| 361  | 0.001387915297493959  |\n",
      "| 362  | 5.469735181316972E-4  |\n",
      "| 363  | 1.5000000000000001E-4 |\n",
      "| 364  | 5.942605888697158E-4  |\n",
      "| 365  | 0.0015895844478563586 |\n",
      "| 366  | 0.001057827227254572  |\n",
      "| 367  | 1.5000000000000001E-4 |\n",
      "| 368  | 2.9727235237125935E-4 |\n",
      "| 369  | 0.001426575679215999  |\n",
      "| 370  | 1.8465222791617852E-4 |\n",
      "| 371  | 0.001404419120915344  |\n",
      "| 372  | 7.066268474073391E-4  |\n",
      "| 373  | 0.0014374354133750015 |\n",
      "| 374  | 0.0023056725431321377 |\n",
      "| 375  | 1.755E-4              |\n",
      "| 376  | 1.5000000000000001E-4 |\n",
      "| 377  | 5.422517178297144E-4  |\n",
      "| 378  | 3.541491036940078E-4  |\n",
      "| 379  | 9.739331144010103E-4  |\n",
      "| 380  | 0.0041772127794986276 |\n",
      "| 381  | 9.355295285065023E-4  |\n",
      "| 382  | 0.0011196412387224123 |\n",
      "| 383  | 0.0034576672423580154 |\n",
      "| 384  | 9.849204736904666E-4  |\n",
      "| 385  | 8.359089953332173E-4  |\n",
      "| 386  | 3.268645384633494E-4  |\n",
      "| 387  | 0.007302836252205922  |\n",
      "| 388  | 0.001895313755988218  |\n",
      "| 389  | 1.5000000000000001E-4 |\n",
      "| 390  | 7.056543698920883E-4  |\n",
      "| 391  | 1.5000000000000001E-4 |\n",
      "| 392  | 2.2641582133836553E-4 |\n",
      "| 393  | 1.5000000000000001E-4 |\n",
      "| 394  | 9.240062087309676E-4  |\n",
      "| 395  | 4.1930878148593425E-4 |\n",
      "| 396  | 2.4224607854168677E-4 |\n",
      "| 397  | 0.0057016075312134595 |\n",
      "| 398  | 1.5000000000000001E-4 |\n",
      "| 399  | 0.0010353412053357243 |\n",
      "| 400  | 6.936744924290696E-4  |\n",
      "| 401  | 1.5000000000000001E-4 |\n",
      "| 402  | 1.5000000000000001E-4 |\n",
      "| 403  | 0.003594857065005584  |\n",
      "| 404  | 0.001660637595186353  |\n",
      "| 405  | 2.1040695000000003E-4 |\n",
      "| 406  | 0.006734430614559079  |\n",
      "| 407  | 0.00239896807720009   |\n",
      "| 408  | 1.5000000000000001E-4 |\n",
      "| 409  | 1.5000000000000001E-4 |\n",
      "| 410  | 1.9101480930481436E-4 |\n",
      "| 411  | 9.216257425236189E-4  |\n",
      "| 412  | 0.0022454551927178373 |\n",
      "| 413  | 0.0011639997925275653 |\n",
      "| 414  | 8.11144625286097E-4   |\n",
      "| 415  | 5.180001661146272E-4  |\n",
      "| 416  | 1.755E-4              |\n",
      "| 417  | 5.952492704800413E-4  |\n",
      "| 418  | 0.0014675042091682386 |\n",
      "| 419  | 5.334385581682336E-4  |\n",
      "| 420  | 0.0013921824207219948 |\n",
      "| 421  | 9.313512179788945E-4  |\n",
      "| 422  | 2.5752608320002397E-4 |\n",
      "| 423  | 5.987165923174251E-4  |\n",
      "| 424  | 2.5496852970269686E-4 |\n",
      "| 425  | 1.5000000000000001E-4 |\n",
      "| 426  | 1.5000000000000001E-4 |\n",
      "| 427  | 4.324452403350631E-4  |\n",
      "| 428  | 3.9108496587263815E-4 |\n",
      "| 429  | 1.755E-4              |\n",
      "| 430  | 5.833467029717015E-4  |\n",
      "| 431  | 2.4316037567092947E-4 |\n",
      "| 432  | 1.5000000000000001E-4 |\n",
      "| 433  | 2.0992371052359478E-4 |\n",
      "| 434  | 4.12455502063822E-4   |\n",
      "| 435  | 2.584155819846739E-4  |\n",
      "| 436  | 4.388596464259978E-4  |\n",
      "| 437  | 0.0012465016373951322 |\n",
      "| 438  | 1.5000000000000001E-4 |\n",
      "| 439  | 0.0033753394277505604 |\n",
      "| 440  | 0.0014479518466754802 |\n",
      "| 441  | 0.002585532747412136  |\n",
      "| 442  | 1.5000000000000001E-4 |\n",
      "| 443  | 0.0019529856007856345 |\n",
      "| 444  | 6.128487450137053E-4  |\n",
      "| 445  | 1.5000000000000001E-4 |\n",
      "| 446  | 2.4648889226287746E-4 |\n",
      "| 447  | 4.905354754808761E-4  |\n",
      "| 448  | 0.0034799944180686914 |\n",
      "| 449  | 6.478078064149856E-4  |\n",
      "| 450  | 1.5000000000000001E-4 |\n",
      "| 451  | 7.328979861751009E-4  |\n",
      "| 452  | 1.755E-4              |\n",
      "| 453  | 3.040448390363861E-4  |\n",
      "| 454  | 0.0015668090357308189 |\n",
      "| 455  | 4.7760640824326487E-4 |\n",
      "| 456  | 0.0011259521352496883 |\n",
      "| 457  | 8.750919863116781E-4  |\n",
      "| 458  | 0.003458453198726882  |\n",
      "| 459  | 8.525244918905837E-4  |\n",
      "| 460  | 4.200765284844982E-4  |\n",
      "| 461  | 0.0011541391270347165 |\n",
      "| 462  | 6.81518293481056E-4   |\n",
      "| 463  | 0.003526468932001214  |\n",
      "| 464  | 1.5000000000000001E-4 |\n",
      "| 465  | 3.912401174080164E-4  |\n",
      "| 466  | 0.002342032027281142  |\n",
      "| 467  | 4.1292605354360557E-4 |\n",
      "| 468  | 6.865342916186068E-4  |\n",
      "| 469  | 0.0013629971051343278 |\n",
      "| 470  | 1.8057195000000003E-4 |\n",
      "| 471  | 2.05335E-4            |\n",
      "| 472  | 1.5000000000000001E-4 |\n",
      "| 473  | 0.0013554648586068517 |\n",
      "| 474  | 1.5000000000000001E-4 |\n",
      "| 475  | 6.371559444728E-4     |\n",
      "| 476  | 1.5000000000000001E-4 |\n",
      "| 477  | 2.6704746974074047E-4 |\n",
      "| 478  | 0.0023497607387311624 |\n",
      "| 479  | 0.0010410642520018608 |\n",
      "| 480  | 0.0026603221536050325 |\n",
      "| 481  | 0.00176092551609404   |\n",
      "| 482  | 2.680797280434663E-4  |\n",
      "| 483  | 1.5000000000000001E-4 |\n",
      "| 484  | 1.8409029007325348E-4 |\n",
      "| 485  | 7.902242508906769E-4  |\n",
      "| 486  | 1.5000000000000001E-4 |\n",
      "| 487  | 3.657401174080164E-4  |\n",
      "| 488  | 1.5000000000000001E-4 |\n",
      "| 489  | 1.5000000000000001E-4 |\n",
      "| 490  | 5.238740915283425E-4  |\n",
      "| 491  | 0.001985849319948839  |\n",
      "| 492  | 8.490326926519022E-4  |\n",
      "| 493  | 9.577812503423679E-4  |\n",
      "| 494  | 0.0010346591521210725 |\n",
      "| 495  | 0.0025065764731722704 |\n",
      "| 496  | 1.5000000000000001E-4 |\n",
      "| 497  | 4.808786794293379E-4  |\n",
      "| 498  | 0.0015857029856863498 |\n",
      "| 499  | 0.0036964134573772246 |\n",
      "| 500  | 1.5000000000000001E-4 |\n",
      "| 501  | 8.481542630163011E-4  |\n",
      "| 502  | 0.0013345254410531253 |\n",
      "| 503  | 1.5000000000000001E-4 |\n",
      "| 504  | 0.0010600353014991314 |\n",
      "| 505  | 0.0013244502210275687 |\n",
      "| 506  | 6.460091088120153E-4  |\n",
      "| 507  | 1.5000000000000001E-4 |\n",
      "| 508  | 1.5000000000000001E-4 |\n",
      "| 509  | 0.0016172155586424565 |\n",
      "| 510  | 0.0011673703431392451 |\n",
      "| 511  | 7.65409774309669E-4   |\n",
      "| 512  | 2.141936086843952E-4  |\n",
      "| 513  | 6.918850207048262E-4  |\n",
      "| 514  | 0.0012082147697070984 |\n",
      "| 515  | 5.457766201929376E-4  |\n",
      "| 516  | 1.5000000000000001E-4 |\n",
      "| 517  | 1.5000000000000001E-4 |\n",
      "| 518  | 0.0016723011105010453 |\n",
      "| 519  | 0.0016745014777088247 |\n",
      "| 520  | 2.914427041817505E-4  |\n",
      "| 521  | 6.092666079390056E-4  |\n",
      "| 522  | 1.5000000000000001E-4 |\n",
      "| 523  | 0.0018622414825680378 |\n",
      "| 524  | 0.0027717911679074653 |\n",
      "| 525  | 0.002307288464647554  |\n",
      "| 526  | 1.5000000000000001E-4 |\n",
      "| 527  | 5.518929987720048E-4  |\n",
      "| 528  | 8.818496974291271E-4  |\n",
      "| 529  | 7.869028721951541E-4  |\n",
      "| 530  | 3.160620506558492E-4  |\n",
      "| 531  | 1.824436611985375E-4  |\n",
      "| 532  | 0.0026883961120105645 |\n",
      "| 533  | 9.414848847242303E-4  |\n",
      "| 534  | 0.004468812453891554  |\n",
      "| 535  | 0.002301955242949272  |\n",
      "| 536  | 0.0018254595985755825 |\n",
      "| 537  | 8.558096249646119E-4  |\n",
      "| 538  | 2.1530132013355271E-4 |\n",
      "| 539  | 1.755E-4              |\n",
      "| 540  | 1.5000000000000001E-4 |\n",
      "| 541  | 5.072653977360985E-4  |\n",
      "| 542  | 0.0016231168473050282 |\n",
      "| 543  | 3.3069747533471443E-4 |\n",
      "| 544  | 4.6518268902879996E-4 |\n",
      "| 545  | 2.1513617849161496E-4 |\n",
      "| 546  | 3.1537827737649954E-4 |\n",
      "| 547  | 2.5489856260103177E-4 |\n",
      "| 548  | 0.0013666708523885297 |\n",
      "| 549  | 0.001397762058432311  |\n",
      "| 550  | 8.55871081419353E-4   |\n",
      "| 551  | 0.001281225070484314  |\n",
      "| 552  | 3.6139163765112436E-4 |\n",
      "| 553  | 0.0016094070407063948 |\n",
      "| 554  | 3.809334940707066E-4  |\n",
      "| 555  | 0.001785250259917867  |\n",
      "| 556  | 5.417627297749319E-4  |\n",
      "| 557  | 7.429301319174695E-4  |\n",
      "| 558  | 0.001156030214363962  |\n",
      "| 559  | 0.005261595217088172  |\n",
      "| 560  | 0.0033013676212765904 |\n",
      "| 561  | 0.001965368259426828  |\n",
      "| 562  | 0.0010488668332936774 |\n",
      "| 563  | 1.5000000000000001E-4 |\n",
      "| 564  | 5.390467946752772E-4  |\n",
      "| 565  | 9.033285120825317E-4  |\n",
      "| 566  | 8.37732363928396E-4   |\n",
      "| 567  | 0.0010213368436477394 |\n",
      "| 568  | 1.5000000000000001E-4 |\n",
      "| 569  | 0.0016616067613839153 |\n",
      "| 570  | 0.0012271622428166452 |\n",
      "| 571  | 9.593040531976867E-4  |\n",
      "| 572  | 5.362593401415442E-4  |\n",
      "| 573  | 1.5000000000000001E-4 |\n",
      "| 574  | 1.5000000000000001E-4 |\n",
      "| 575  | 4.514657362255553E-4  |\n",
      "| 576  | 0.002252662982920665  |\n",
      "| 577  | 0.0020458397176403545 |\n",
      "| 578  | 0.0021669228144561574 |\n",
      "| 579  | 0.004122323206025615  |\n",
      "| 580  | 2.4093728125776744E-4 |\n",
      "| 581  | 0.001487689999347173  |\n",
      "| 582  | 0.0012931131870685694 |\n",
      "| 583  | 6.615109129185681E-4  |\n",
      "| 584  | 0.003590602487396057  |\n",
      "| 585  | 2.3445978385698197E-4 |\n",
      "| 586  | 1.5000000000000001E-4 |\n",
      "| 587  | 2.919626119686244E-4  |\n",
      "| 588  | 2.2303974222928402E-4 |\n",
      "| 589  | 0.0017672385366175796 |\n",
      "| 590  | 0.0014252254913698006 |\n",
      "| 591  | 6.982434868737202E-4  |\n",
      "| 592  | 5.540360076541305E-4  |\n",
      "| 593  | 5.020043488887322E-4  |\n",
      "| 594  | 1.5000000000000001E-4 |\n",
      "| 595  | 0.0020290272452551414 |\n",
      "| 596  | 6.662848149771011E-4  |\n",
      "| 597  | 0.002218597349783918  |\n",
      "| 598  | 1.8634409298529312E-4 |\n",
      "| 599  | 2.8532365893651834E-4 |\n",
      "| 600  | 6.3670931008261E-4    |\n",
      "| 601  | 0.0014265568655579101 |\n",
      "| 602  | 0.0013978838220560382 |\n",
      "| 603  | 4.4908802989505035E-4 |\n",
      "| 604  | 4.896404791448426E-4  |\n",
      "| 605  | 5.582311651785707E-4  |\n",
      "| 606  | 0.002115266433513532  |\n",
      "| 607  | 0.0020742901750863516 |\n",
      "| 608  | 9.90006684352549E-4   |\n",
      "| 609  | 8.399542218830865E-4  |\n",
      "| 610  | 0.0016044213764372943 |\n",
      "| 611  | 1.5000000000000001E-4 |\n",
      "| 612  | 7.567389435514202E-4  |\n",
      "| 613  | 0.0011401523459483157 |\n",
      "| 614  | 0.0016205712132064426 |\n",
      "| 615  | 0.0011262576562894367 |\n",
      "| 616  | 0.0011424657303039153 |\n",
      "| 617  | 5.432718055484618E-4  |\n",
      "| 618  | 0.0011792877192328978 |\n",
      "| 619  | 4.8501522145705776E-4 |\n",
      "| 620  | 0.0022672260361116846 |\n",
      "| 621  | 8.66669298477553E-4   |\n",
      "| 622  | 1.5000000000000001E-4 |\n",
      "| 623  | 8.354390109042596E-4  |\n",
      "| 624  | 0.002533604421201416  |\n",
      "| 625  | 0.0014136413100708932 |\n",
      "| 626  | 8.173420873688649E-4  |\n",
      "| 627  | 0.0012019925897525496 |\n",
      "| 628  | 8.825715453680534E-4  |\n",
      "| 629  | 5.378372934402358E-4  |\n",
      "| 630  | 1.5000000000000001E-4 |\n",
      "| 631  | 0.0014201961877760337 |\n",
      "| 632  | 3.280795741138205E-4  |\n",
      "| 633  | 6.167283222700832E-4  |\n",
      "| 634  | 0.0016426144024830325 |\n",
      "| 635  | 3.011153854047616E-4  |\n",
      "| 636  | 6.927261066988117E-4  |\n",
      "| 637  | 6.429330355191749E-4  |\n",
      "| 638  | 1.755E-4              |\n",
      "| 639  | 6.39266067123328E-4   |\n",
      "| 640  | 0.004536645860803961  |\n",
      "| 641  | 2.005793670669286E-4  |\n",
      "| 642  | 0.003681231841521287  |\n",
      "| 643  | 9.533740138857468E-4  |\n",
      "| 644  | 0.0025486850166547507 |\n",
      "| 645  | 7.040025242234301E-4  |\n",
      "| 646  | 0.0031282767048813015 |\n",
      "| 647  | 3.9422331484974965E-4 |\n",
      "| 648  | 4.91447947874342E-4   |\n",
      "| 649  | 0.0010413091576987152 |\n",
      "| 650  | 0.0013571047253181543 |\n",
      "| 651  | 0.0027176272963309535 |\n",
      "| 652  | 1.5000000000000001E-4 |\n",
      "| 653  | 1.5000000000000001E-4 |\n",
      "| 654  | 2.409506051621138E-4  |\n",
      "| 655  | 4.2268773489355425E-4 |\n",
      "| 656  | 5.674846983515103E-4  |\n",
      "| 657  | 1.5000000000000001E-4 |\n",
      "| 658  | 1.5000000000000001E-4 |\n",
      "| 659  | 4.7352801199543586E-4 |\n",
      "| 660  | 3.708297221306098E-4  |\n",
      "| 661  | 6.752864323473437E-4  |\n",
      "| 662  | 0.001948094084100429  |\n",
      "| 663  | 3.434658264888766E-4  |\n",
      "| 664  | 8.642218345696342E-4  |\n",
      "| 665  | 7.022230940480474E-4  |\n",
      "| 666  | 0.0019759741533277777 |\n",
      "| 667  | 5.466663464440077E-4  |\n",
      "| 668  | 5.812222417034453E-4  |\n",
      "| 669  | 2.2650000000000003E-4 |\n",
      "| 670  | 9.369396808664525E-4  |\n",
      "| 671  | 4.550190089580213E-4  |\n",
      "| 672  | 8.505062127898172E-4  |\n",
      "| 673  | 0.0016020050466281869 |\n",
      "| 674  | 0.0026660396234964795 |\n",
      "| 675  | 7.018147802475042E-4  |\n",
      "| 676  | 0.0010495908671434905 |\n",
      "| 677  | 0.0012691647692091676 |\n",
      "| 678  | 0.0010062489621745602 |\n",
      "| 679  | 2.2176772600292964E-4 |\n",
      "| 680  | 3.1610578289833233E-4 |\n",
      "| 681  | 0.002612141951457947  |\n",
      "| 682  | 2.0578841037784985E-4 |\n",
      "| 683  | 4.6850931155209725E-4 |\n",
      "| 684  | 1.5000000000000001E-4 |\n",
      "| 685  | 0.0017217500217932677 |\n",
      "| 686  | 1.5000000000000001E-4 |\n",
      "| 687  | 4.473010517288916E-4  |\n",
      "| 688  | 2.9060662230983187E-4 |\n",
      "| 689  | 1.5000000000000001E-4 |\n",
      "| 690  | 0.002360575466364048  |\n",
      "| 691  | 0.0010356143208842593 |\n",
      "| 692  | 1.862595887890187E-4  |\n",
      "| 693  | 0.0026464129263153824 |\n",
      "| 694  | 9.222459367559566E-4  |\n",
      "| 695  | 0.00125541416577722   |\n",
      "| 696  | 0.0011358344192550535 |\n",
      "| 697  | 0.0011710984648593996 |\n",
      "| 698  | 1.5000000000000001E-4 |\n",
      "| 699  | 0.001875072597072688  |\n",
      "| 700  | 4.6656171643262134E-4 |\n",
      "| 701  | 1.5000000000000001E-4 |\n",
      "| 702  | 4.5014008998615516E-4 |\n",
      "| 703  | 1.5000000000000001E-4 |\n",
      "| 704  | 1.755E-4              |\n",
      "| 705  | 1.5000000000000001E-4 |\n",
      "| 706  | 2.5691375079077926E-4 |\n",
      "| 707  | 0.0017354706094073985 |\n",
      "| 708  | 1.755E-4              |\n",
      "| 709  | 1.5000000000000001E-4 |\n",
      "| 710  | 0.0011482531228904633 |\n",
      "| 711  | 5.65730141094274E-4   |\n",
      "| 712  | 5.529358412998575E-4  |\n",
      "| 713  | 9.587780873572755E-4  |\n",
      "| 714  | 6.738847255778589E-4  |\n",
      "| 715  | 1.5000000000000001E-4 |\n",
      "| 716  | 0.003736272029342547  |\n",
      "| 717  | 7.636693481225607E-4  |\n",
      "| 718  | 2.9497978088001734E-4 |\n",
      "| 719  | 6.929802660674514E-4  |\n",
      "| 720  | 0.0012956848836086776 |\n",
      "| 721  | 1.755E-4              |\n",
      "| 722  | 4.364537785054639E-4  |\n",
      "| 723  | 1.5000000000000001E-4 |\n",
      "| 724  | 0.003036316278744375  |\n",
      "| 725  | 3.1320640396038945E-4 |\n",
      "| 726  | 0.0011563088338287816 |\n",
      "| 727  | 9.183181168513012E-4  |\n",
      "| 728  | 8.628053925130463E-4  |\n",
      "| 729  | 6.316023136004932E-4  |\n",
      "| 730  | 0.0017445068376491309 |\n",
      "| 731  | 1.5000000000000001E-4 |\n",
      "| 732  | 0.001955577997770617  |\n",
      "| 733  | 1.5000000000000001E-4 |\n",
      "| 734  | 0.002137175283730809  |\n",
      "| 735  | 1.5000000000000001E-4 |\n",
      "| 736  | 3.899154444927926E-4  |\n",
      "| 737  | 0.0018729164172023639 |\n",
      "| 738  | 0.002164204139911559  |\n",
      "| 739  | 1.5000000000000001E-4 |\n",
      "| 740  | 0.0019677780472652584 |\n",
      "| 741  | 3.4129167424023604E-4 |\n",
      "| 742  | 0.0013095434896525616 |\n",
      "| 743  | 0.001493137845711551  |\n",
      "| 744  | 0.001963902035960845  |\n",
      "| 745  | 0.0028281725582252676 |\n",
      "| 746  | 0.002763559405610473  |\n",
      "| 747  | 3.6686391125541394E-4 |\n",
      "| 748  | 5.902118534996205E-4  |\n",
      "| 749  | 0.0014080792535026926 |\n",
      "| 750  | 1.5000000000000001E-4 |\n",
      "| 751  | 0.002205401982927952  |\n",
      "| 752  | 0.0012775835632503254 |\n",
      "| 753  | 5.355303906865519E-4  |\n",
      "| 754  | 0.0018261956343240844 |\n",
      "| 755  | 2.01E-4               |\n",
      "| 756  | 0.002271647288365173  |\n",
      "| 757  | 0.0016307113623474498 |\n",
      "| 758  | 6.018247627180881E-4  |\n",
      "| 759  | 0.0031248811248848203 |\n",
      "| 760  | 1.5000000000000001E-4 |\n",
      "| 761  | 5.164900730639457E-4  |\n",
      "| 762  | 2.5783291385318816E-4 |\n",
      "| 763  | 1.755E-4              |\n",
      "| 764  | 0.001103624657079285  |\n",
      "| 765  | 9.940567126171525E-4  |\n",
      "| 766  | 1.5000000000000001E-4 |\n",
      "| 767  | 0.0013827149177560443 |\n",
      "| 768  | 3.5920425526850643E-4 |\n",
      "| 769  | 1.755E-4              |\n",
      "| 770  | 1.5000000000000001E-4 |\n",
      "| 771  | 3.930564755503296E-4  |\n",
      "| 772  | 0.0014846153894426232 |\n",
      "| 773  | 2.5226703246612986E-4 |\n",
      "| 774  | 0.0015796332500831376 |\n",
      "| 775  | 4.226074498838718E-4  |\n",
      "| 776  | 1.5000000000000001E-4 |\n",
      "| 777  | 0.0014737011871186474 |\n",
      "| 778  | 0.0033237926317634795 |\n",
      "| 779  | 6.324847894012952E-4  |\n",
      "| 780  | 1.5000000000000001E-4 |\n",
      "| 781  | 0.0023714626308484195 |\n",
      "| 782  | 7.945533987613353E-4  |\n",
      "| 783  | 0.001026515557577131  |\n",
      "| 784  | 0.0011359781976910982 |\n",
      "| 785  | 1.755E-4              |\n",
      "| 786  | 9.813098488516843E-4  |\n",
      "| 787  | 4.825820884375542E-4  |\n",
      "| 788  | 0.0013497258765391427 |\n",
      "| 789  | 5.631295068609405E-4  |\n",
      "| 790  | 0.0014779767822416055 |\n",
      "| 791  | 0.0012534424263270668 |\n",
      "| 792  | 2.8722478570708857E-4 |\n",
      "| 793  | 7.763156415664077E-4  |\n",
      "| 794  | 7.236190608450501E-4  |\n",
      "| 795  | 0.0011991181336062904 |\n",
      "| 796  | 0.0025928866754296033 |\n",
      "| 797  | 0.0016045103755243035 |\n",
      "| 798  | 1.5000000000000001E-4 |\n",
      "| 799  | 9.027417159466072E-4  |\n",
      "| 800  | 6.243881007637496E-4  |\n",
      "| 801  | 0.0038858781058831297 |\n",
      "| 802  | 6.566497320459625E-4  |\n",
      "| 803  | 9.915354328363058E-4  |\n",
      "| 804  | 0.002309956592289852  |\n",
      "| 805  | 0.0015905386719217572 |\n",
      "| 806  | 5.825045281878833E-4  |\n",
      "| 807  | 0.001378812403474936  |\n",
      "| 808  | 2.01E-4               |\n",
      "| 809  | 2.293985626010318E-4  |\n",
      "| 810  | 1.755E-4              |\n",
      "| 811  | 0.0015110406703150278 |\n",
      "| 812  | 8.2979014630903E-4    |\n",
      "| 813  | 5.452279691687855E-4  |\n",
      "| 814  | 9.771652721931876E-4  |\n",
      "| 815  | 2.841542126196143E-4  |\n",
      "| 816  | 1.5000000000000001E-4 |\n",
      "| 817  | 0.00121173722464414   |\n",
      "| 818  | 7.10852250115033E-4   |\n",
      "| 819  | 1.755E-4              |\n",
      "| 820  | 2.0578841037784985E-4 |\n",
      "| 821  | 0.0028341472982954404 |\n",
      "| 822  | 4.0682334230045735E-4 |\n",
      "| 823  | 0.0010883056060615977 |\n",
      "| 824  | 6.67025742948838E-4   |\n",
      "| 825  | 6.706407972285884E-4  |\n",
      "| 826  | 3.5409731899796676E-4 |\n",
      "| 827  | 3.663386140465778E-4  |\n",
      "| 828  | 1.5000000000000001E-4 |\n",
      "| 829  | 1.5000000000000001E-4 |\n",
      "| 830  | 0.0013757830144724905 |\n",
      "| 831  | 0.002156949246732609  |\n",
      "| 832  | 2.1358378829109846E-4 |\n",
      "| 833  | 3.773611279233837E-4  |\n",
      "| 834  | 1.5000000000000001E-4 |\n",
      "| 835  | 0.0017144032237718556 |\n",
      "| 836  | 7.843363065118273E-4  |\n",
      "| 837  | 8.69587974072024E-4   |\n",
      "| 838  | 1.5000000000000001E-4 |\n",
      "| 839  | 9.55800416038474E-4   |\n",
      "| 840  | 0.00226951326329293   |\n",
      "| 841  | 1.5000000000000001E-4 |\n",
      "| 842  | 0.0023527350581921125 |\n",
      "| 843  | 6.561715959788319E-4  |\n",
      "| 844  | 0.0015307085426539998 |\n",
      "| 845  | 3.7957272456584634E-4 |\n",
      "| 846  | 5.970407689508767E-4  |\n",
      "| 847  | 3.671057828983323E-4  |\n",
      "| 848  | 2.541944061511243E-4  |\n",
      "| 849  | 1.5000000000000001E-4 |\n",
      "| 850  | 0.004536348340876945  |\n",
      "| 851  | 0.0012585608705943155 |\n",
      "| 852  | 2.1452149307630728E-4 |\n",
      "| 853  | 1.7983500000000002E-4 |\n",
      "| 854  | 1.5000000000000001E-4 |\n",
      "| 855  | 2.140216563023354E-4  |\n",
      "| 856  | 0.0031423427205705405 |\n",
      "| 857  | 3.779381372874785E-4  |\n",
      "| 858  | 9.891240503982813E-4  |\n",
      "| 859  | 1.5000000000000001E-4 |\n",
      "| 860  | 0.0014707469207249726 |\n",
      "| 861  | 0.001233270051543522  |\n",
      "| 862  | 6.001045657475106E-4  |\n",
      "| 863  | 1.5000000000000001E-4 |\n",
      "| 864  | 1.5000000000000001E-4 |\n",
      "| 865  | 0.002786873844094674  |\n",
      "| 866  | 1.5000000000000001E-4 |\n",
      "| 867  | 0.0030296446640826354 |\n",
      "| 868  | 3.292782665721425E-4  |\n",
      "| 869  | 1.5000000000000001E-4 |\n",
      "| 870  | 7.597676354229473E-4  |\n",
      "| 871  | 0.0029927165966121944 |\n",
      "| 872  | 0.0018690565696566934 |\n",
      "| 873  | 1.5000000000000001E-4 |\n",
      "| 874  | 0.0018816492105522091 |\n",
      "| 875  | 0.001132069518918407  |\n",
      "| 876  | 3.307689109647861E-4  |\n",
      "| 877  | 0.002171639724916594  |\n",
      "| 878  | 8.078419816131902E-4  |\n",
      "| 879  | 7.85058695038171E-4   |\n",
      "| 880  | 1.5000000000000001E-4 |\n",
      "| 881  | 8.206499045190741E-4  |\n",
      "| 882  | 1.5000000000000001E-4 |\n",
      "| 883  | 9.628249420113976E-4  |\n",
      "| 884  | 0.0029991391575779286 |\n",
      "| 885  | 1.5000000000000001E-4 |\n",
      "| 886  | 6.761394050817863E-4  |\n",
      "| 887  | 3.6243405334175334E-4 |\n",
      "| 888  | 0.001142696740392315  |\n",
      "| 889  | 2.6862093089432924E-4 |\n",
      "| 890  | 0.0018685571901091377 |\n",
      "| 891  | 0.001726442784163335  |\n",
      "| 892  | 0.004095334983687468  |\n",
      "| 893  | 0.0014609223440358741 |\n",
      "| 894  | 4.824439058923675E-4  |\n",
      "| 895  | 1.5000000000000001E-4 |\n",
      "| 896  | 1.5000000000000001E-4 |\n",
      "| 897  | 9.763505444258325E-4  |\n",
      "| 898  | 1.5000000000000001E-4 |\n",
      "| 899  | 9.08835814820864E-4   |\n",
      "| 900  | 0.0012619210896452472 |\n",
      "| 901  | 0.0018084351875938143 |\n",
      "| 902  | 1.5000000000000001E-4 |\n",
      "| 903  | 0.002280695652112952  |\n",
      "| 904  | 0.0038293401707073472 |\n",
      "| 905  | 4.762294033501554E-4  |\n",
      "| 906  | 5.276139390096749E-4  |\n",
      "| 907  | 1.5000000000000001E-4 |\n",
      "| 908  | 1.5000000000000001E-4 |\n",
      "| 909  | 4.0623207428947596E-4 |\n",
      "| 910  | 0.001153779049110398  |\n",
      "| 911  | 1.755E-4              |\n",
      "| 912  | 1.5000000000000001E-4 |\n",
      "| 913  | 5.400428000794074E-4  |\n",
      "| 914  | 7.047877343457352E-4  |\n",
      "| 915  | 3.225885086214103E-4  |\n",
      "| 916  | 2.5955893823054513E-4 |\n",
      "| 917  | 1.5000000000000001E-4 |\n",
      "| 918  | 0.0028079927070971825 |\n",
      "| 919  | 0.0019422354859839432 |\n",
      "| 920  | 0.0033293888461567063 |\n",
      "| 921  | 0.0029074655346208347 |\n",
      "| 922  | 7.858476312290902E-4  |\n",
      "| 923  | 2.314577580822883E-4  |\n",
      "| 924  | 2.7196245067398234E-4 |\n",
      "| 925  | 1.5000000000000001E-4 |\n",
      "| 926  | 0.002133978088108877  |\n",
      "| 927  | 1.755E-4              |\n",
      "| 928  | 4.911284926917305E-4  |\n",
      "| 929  | 0.001692666125096164  |\n",
      "| 930  | 1.5000000000000001E-4 |\n",
      "| 931  | 7.065960985007101E-4  |\n",
      "| 932  | 0.0010531002630982539 |\n",
      "| 933  | 0.0011075849556182338 |\n",
      "| 934  | 0.006641340764834486  |\n",
      "| 935  | 2.4094871539928858E-4 |\n",
      "| 936  | 1.9191880481367896E-4 |\n",
      "| 937  | 5.180024789034124E-4  |\n",
      "| 938  | 8.064288013163402E-4  |\n",
      "| 939  | 0.0010420855734444465 |\n",
      "| 940  | 8.736747736617337E-4  |\n",
      "| 941  | 2.5260174301583227E-4 |\n",
      "| 942  | 0.0013206628074337412 |\n",
      "| 943  | 1.5000000000000001E-4 |\n",
      "| 944  | 0.0023647872778791114 |\n",
      "| 945  | 1.5000000000000001E-4 |\n",
      "| 946  | 1.5000000000000001E-4 |\n",
      "| 947  | 4.2032571842595066E-4 |\n",
      "| 948  | 0.0010881182142022125 |\n",
      "| 949  | 3.120356234936081E-4  |\n",
      "| 950  | 3.985593653294724E-4  |\n",
      "| 951  | 1.5000000000000001E-4 |\n",
      "| 952  | 1.5000000000000001E-4 |\n",
      "| 953  | 1.5000000000000001E-4 |\n",
      "| 954  | 1.5000000000000001E-4 |\n",
      "| 955  | 6.011423514430271E-4  |\n",
      "| 956  | 3.4851138262749254E-4 |\n",
      "| 957  | 2.457297023703424E-4  |\n",
      "| 958  | 2.3288437810205204E-4 |\n",
      "| 959  | 0.0018098014407069306 |\n",
      "| 960  | 3.480611836014683E-4  |\n",
      "| 961  | 1.755E-4              |\n",
      "| 962  | 0.0019459885956458931 |\n",
      "| 963  | 5.355303906865519E-4  |\n",
      "| 964  | 1.5000000000000001E-4 |\n",
      "| 965  | 1.5000000000000001E-4 |\n",
      "| 966  | 1.5000000000000001E-4 |\n",
      "| 967  | 1.5000000000000001E-4 |\n",
      "| 968  | 0.0011972470005309186 |\n",
      "| 969  | 1.755E-4              |\n",
      "| 970  | 0.001853789358802764  |\n",
      "| 971  | 0.0013341967692109783 |\n",
      "| 972  | 3.286491036940078E-4  |\n",
      "| 973  | 7.809121738237082E-4  |\n",
      "| 974  | 0.0010470278238638487 |\n",
      "| 975  | 0.00277163361478597   |\n",
      "| 976  | 5.695962223124611E-4  |\n",
      "| 977  | 5.801266892570545E-4  |\n",
      "| 978  | 5.69775037086425E-4   |\n",
      "| 979  | 7.242293933361333E-4  |\n",
      "| 980  | 0.0016265601285236214 |\n",
      "| 981  | 0.0026288015475592745 |\n",
      "| 982  | 0.0013019219154618402 |\n",
      "| 983  | 1.5000000000000001E-4 |\n",
      "| 984  | 8.415197672867168E-4  |\n",
      "| 985  | 3.1809673037014465E-4 |\n",
      "| 986  | 4.0784649663308227E-4 |\n",
      "| 987  | 1.5000000000000001E-4 |\n",
      "| 988  | 3.7279801833476375E-4 |\n",
      "| 989  | 1.5000000000000001E-4 |\n",
      "| 990  | 2.7924807516869403E-4 |\n",
      "| 991  | 1.5000000000000001E-4 |\n",
      "| 992  | 6.122151794735794E-4  |\n",
      "| 993  | 1.5000000000000001E-4 |\n",
      "| 994  | 1.7983500000000002E-4 |\n",
      "| 995  | 1.5000000000000001E-4 |\n",
      "| 996  | 5.272294033501555E-4  |\n",
      "| 997  | 1.5000000000000001E-4 |\n",
      "| 998  | 0.002817703365460984  |\n",
      "| 999  | 0.001016356646775373  |\n",
      "| 1000 | 1.5000000000000001E-4 |\n",
      "+------------------------------+\n",
      "\n"
     ]
    }
   ],
   "source": [
    "rs = graph.execute_pgql(\"SELECT a.id, a.pagerank FROM MATCH (a) ON bank_graph ORDER BY id asc\")\n",
    "rs.print()"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "id": "6d073a6a",
   "metadata": {},
   "source": [
    "## Step 7: Convert to Pandas Dataframe "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "0602015a",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "       id  pagerank\n",
      "0       1  0.000213\n",
      "1       2  0.000975\n",
      "2       3  0.000180\n",
      "3       4  0.004577\n",
      "4       5  0.000150\n",
      "..    ...       ...\n",
      "995   996  0.000527\n",
      "996   997  0.000150\n",
      "997   998  0.002818\n",
      "998   999  0.001016\n",
      "999  1000  0.000150\n",
      "\n",
      "[1000 rows x 2 columns]\n"
     ]
    }
   ],
   "source": [
    "result_df = rs.to_pandas()\n",
    "print(result_df)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "053b1586",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>id</th>\n",
       "      <th>pagerank</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>1000.000000</td>\n",
       "      <td>1000.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>500.500000</td>\n",
       "      <td>0.001000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>288.819436</td>\n",
       "      <td>0.001016</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000150</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>250.750000</td>\n",
       "      <td>0.000234</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>500.500000</td>\n",
       "      <td>0.000654</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>750.250000</td>\n",
       "      <td>0.001395</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>1000.000000</td>\n",
       "      <td>0.007303</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                id     pagerank\n",
       "count  1000.000000  1000.000000\n",
       "mean    500.500000     0.001000\n",
       "std     288.819436     0.001016\n",
       "min       1.000000     0.000150\n",
       "25%     250.750000     0.000234\n",
       "50%     500.500000     0.000654\n",
       "75%     750.250000     0.001395\n",
       "max    1000.000000     0.007303"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# get basic statistics for the numerical columns of a Pandas DataFrame\n",
    "result_df.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "97fb9168",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "id          288.819436\n",
       "pagerank      0.001016\n",
       "dtype: float64"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Calculate the standard deviation of the given set of numbers, DataFrame, column, and rows\n",
    "result_df.std()"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "id": "20474bed",
   "metadata": {},
   "source": [
    "## Step 8: Create Visualization Charts"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "db7d33dd",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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nzpzhsssuIyUlhVGjRnHffffRpEkT3n33XRYuXEiHDh2YMmUKL7/8cpV9Y2Nj+eijj1i0aBFdunThjTfecJ4x8fHxAaBLly58++237NmzhyuuuIKEhAQmTpxIVNTvv8j5lltu4aGHHiI1NZX4+HjWrFnjvDrpYrVt25aVK1cyf/58xo4de0nHEhFxRwUlFdz/780889kOKuwGyR3D+WLkFSTENDQ7mul0FZIbXbVSHW+z//zzzzNnzhwOHz7ssmPWNHf9eYqI/J60rNOMmJfO0fwzeHtYeaJ/e/6c2LzOn3XRVUhyVq+//jo9e/akUaNGfP/997z00kvnXB4SEZGa43AY/HP1fqYu202lw6B5I39mDelG52bBZkerVVRg6pm9e/fy3HPPkZeXR0xMDGPHjmX8+PFmxxIREeB0cTljF2ayctePby/Rv0skU27rTKCv1zn2rH+0hKQlB7enn6eI1AUbD+Yxcn46xwtK8fa08tTNHRh6WUydXzL6JS0hiYiIuAGHw+CNb39g2vI92B0GLRsHMGtoNzpE/faTt6jAiIiImOZkURkPfZDBd3tPAvDHhKY8N6ATAT56ej6Xej1DdXT1rN7Rz1FE3NGaH04yakEGJwrL8PWy8uytnRjUvVm9WzK6WPWywPz0dvYlJSX4+fmZnEYuVUlJCfDrjykQEamN7A6DmSv3MmPFXhwGxIU1YPawbrQJDzz3zuJULwuMh4cHISEhzg8R9Pf3V+N1Q4ZhUFJSQm5uLiEhIXh4eJgdSUTkd+XaShm1IIO1+08BcEePZjxzSyf8vPX760LVywIDEBERAfCrT0IW9xMSEuL8eYqI1Far9pzgoQ8yOFVcjr+3B8//sRN/TGhmdiy3VW8LjMViITIykrCwMCoqKsyOIxfJy8tLZ15EpFartDt49b97eP2bHzAMaBcRyOxh3WjVpIHZ0dxavS0wP/Hw8NAToIiIVIvjBWcYNT+DDQfzABjWK4YJN3XA10vPO5eq3hcYERGR6vD1rlzGfJjB6ZIKGvh4Mvm2ztzc9fc/GFfOnwqMiIiIC1XYHbz81W7+sWo/AJ2aBjFrSDdaNA4wOVndogIjIiLiIkdOlzBifjrpWfkA3H15C8bf2A4fTy0ZuZoKjIiIiAt8tT2bRxZmYiutJMjXk6m3d+WGTrpCsrqowIiIiFyCsko7U77cxTvfHwSga3QIs4YkEB3qb26wOk4FRkRE5CIdOlVM6rx0th4tAODeK2J5JLkd3p5Wk5PVfSowIiIiF+HzLccZ9/EWCssqCfH34pVBXbmufbjZseoNFRgREZELUFph57nPd/D+uiwAejRvyIwhCUSF6LP1apIKjIiIyHnaf6KIlHnp7DxuA+DBq1sx5g9t8PTQklFNU4ERERE5D0syjvL4oq0Ul9tpFODNtDvjuapNE7Nj1VsqMCIiIr/jTLmdpz/dzgebDgPQu2Uo0wcnEB7ka3Ky+k0FRkRE5DfszSkkZV4ae3KKsFhgxLVxjLouDg+rxexo9Z4KjIiIyFks3HSYiUu2c6bCTpNAH6bfGc/lrRubHUv+RwVGRETkZ4rLKpmwZBuL0o4C0Ld1Y169M54mgT4mJ5OfU4ERERH5n53HbaTOS+OHE8VYLTDmD2148OrWWLVkVOuowIiISL1nGAbzNxzmmc+2U1bpICLIlxlDErgsNtTsaPIbVGBERKReKyyt4PFPtvFZ5jEArm7bhGl3xBMa4G1yMvk9KjAiIlJvbTtaQOq8NA6eKsHTauGR5Lbce0VLLRm5ARUYERGpdwzD4N/rDvHc0p2U2x00DfFjxpAEujdvaHY0OU8qMCIiUq8UnKlg3Mdb+HJbNgBJ7cN5eVAXQvy1ZOROVGBERKTeyDicT+q8NI6cPoOXh4Xx/drzlz4tsFi0ZORuVGBERKTOMwyDt1cf4MVlu6iwG0SH+jFrSDe6RoeYHU0ukgqMiIjUafkl5Ty8MJP/7swF4MbOEUwZ2IUgXy+Tk8mlUIEREZE6a/OhPEbMS+dYQSnenlYm3NSBP/WK0ZJRHWB19QHtdjsTJkwgNjYWPz8/WrVqxaRJkzAMwznGMAwmTpxIZGQkfn5+JCUlsXfv3irHycvLY9iwYQQFBRESEsI999xDUVGRq+OKiEgd5HAYvPHND9zxj3UcKygltnEAnzx4OXf1bq7yUke4vMC8+OKLvPHGG8yaNYudO3fy4osvMnXqVGbOnOkcM3XqVGbMmMGcOXNYv349AQEBJCcnU1pa6hwzbNgwtm/fzvLly1m6dCmrVq3ivvvuc3VcERGpY04VlfGXdzfy4rJd2B0Gt8ZH8dmIvnSMCjY7mriQxfj5qREXuOmmmwgPD+ftt9923jZw4ED8/Px4//33MQyDqKgoxo4dy8MPPwxAQUEB4eHhvPvuuwwePJidO3fSoUMHNm7cSI8ePQBYtmwZN954I0eOHCEqKuqcOWw2G8HBwRQUFBAUFOTKhygiIrXU+v2nGLkgnRxbGT6eVp69tSN39IjWWRc3cr7P3y4/A3P55ZezYsUK9uzZA0BmZiarV6+mX79+ABw4cIDs7GySkpKc+wQHB9OrVy/Wrl0LwNq1awkJCXGWF4CkpCSsVivr168/6/2WlZVhs9mqfImISP1gdxjMXLGXIW+tI8dWRuuwBnya2pc7e+r1LnWVy1/EO27cOGw2G+3atcPDwwO73c7zzz/PsGHDAMjO/vGNg8LDw6vsFx4e7tyWnZ1NWFhY1aCenoSGhjrH/NLkyZN55plnXP1wRESklsstLOWhDzL4ft8pAAZ2a8akAR3x99Z1KnWZy3+6H374IXPnzmXevHl07NiRjIwMRo8eTVRUFMOHD3f13TmNHz+eMWPGOL+32WxER0dX2/2JiIj5vt93klELMjhZVIaflweTBnTi9u7NzI4lNcDlBeaRRx5h3LhxDB48GIDOnTtz6NAhJk+ezPDhw4mIiAAgJyeHyMhI5345OTnEx8cDEBERQW5ubpXjVlZWkpeX59z/l3x8fPDx8XH1wxERkVqo0u5gxoq9zPx6H4YBbcMDmT0sgdZhgWZHkxri8tfAlJSUYLVWPayHhwcOhwOA2NhYIiIiWLFihXO7zWZj/fr1JCYmApCYmEh+fj6bN292jlm5ciUOh4NevXq5OrKIiLiR7IJShv5zPTNW/lhehlwWzZLUPiov9YzLz8DcfPPNPP/888TExNCxY0fS09OZNm0af/3rXwGwWCyMHj2a5557jri4OGJjY5kwYQJRUVEMGDAAgPbt23PDDTdw7733MmfOHCoqKkhNTWXw4MHndQWSiIjUTd/szmXMh5nkFZcT4O3BC7d15tb4pmbHEhO4vMDMnDmTCRMm8OCDD5Kbm0tUVBT3338/EydOdI559NFHKS4u5r777iM/P5++ffuybNkyfH19nWPmzp1Lamoq1113HVarlYEDBzJjxgxXxxURETdQYXfwyn/2MOfbHwDoEBnE7GHdiG0cYHIyMYvL3wemttD7wIiI1A1H888wcn46mw+dBuDPic15/Mb2+Hp5mJxMqsP5Pn/rGjMREam1lu/I4eGFmRScqSDQ15OpA7vQr3PkuXeUOk8FRkREap3ySgcvLtvF26sPANC1WTAzh3QjppG/ycmktlCBERGRWuVwXgmp89PJPJwPwF/7xDKuXzu8PV1+4ay4MRUYERGpNZZtO84jH22hsLSSYD8vXh7UlT90CD/3jlLvqMCIiIjpSivsTP5iJ++tPQRAt5gQZgxJoFlDLRnJ2anAiIiIqQ6eLCZlXhrbj/34Ibz3X9WSh69vi5eHlozkt6nAiIiIaT7NPMbji7ZSVFZJaIA3r9zRlWvahp17R6n3VGBERKTGlVbYeeazHczfkAXAZS1CmTEkgYhg33PsKfIjFRgREalR+3KLSJ2Xxq7sQiwWSL2mNaOui8NTS0ZyAVRgRESkxny8+QhPLt7GmQo7jRv48Nqd8fSNa2x2LHFDKjAiIlLtSsormbhkOx9tPgLA5a0a8drgeMICtWQkF0cFRkREqtWenEJS5qaxN7cIqwVGJ7Uh5ZrWeFgtZkcTN6YCIyIi1cIwDD7cdJinPt1OaYWDsEAfpg9OILFVI7OjSR2gAiMiIi5XVFbJk59sZXHGMQCubNOEaXd0pXEDH5OTSV2hAiMiIi61/VgBI+als/9kMR5WC2Ovb8Pfr2yFVUtG4kIqMCIi4hKGYfD++iwmLd1BeaWDyGBfZg5JoEeLULOjSR2kAiMiIpfMVlrB+I+38vnW4wBc1y6Mlwd1pWGAt8nJpK5SgRERkUuy5Ug+qfPSycorwdNqYVy/dtzTNxaLRUtGUn1UYERE5KIYhsE73x9k8pc7qbAbNGvox6yh3YiPDjE7mtQDKjAiInLBCkoqeOSjTP6zIweAGzpG8OLtXQj28zI5mdQXKjAiInJB0rJOM2JeOkfzz+DtYeWJ/u35c2JzLRlJjVKBERGR8+JwGPxz9X6mLttNpcOgeSN/Zg/tRqemwWZHk3pIBUZERM4pr7ichxdmsnJXLgA3dYlk8m2dCfTVkpGYQwVGRER+14YDeYycn062rRRvTytP39yRIZdFa8lITKUCIyIiZ+VwGLzx7Q9MW74Hu8OgZZMAZg/tRvvIILOjiajAiIjIr50oLGPMhxl8t/ckALclNGXSgE4E+OhpQ2oH/U0UEZEq1uw7yagPMjhRWIavl5Vnb+3EoO7NtGQktYoKjIiIAGB3GMxYsZcZK/diGNAmvAGzh3YjLjzQ7Ggiv6ICIyIi5NhKGbUgnXX78wC4s0c0T9/SET9vD5OTiZydCoyISD23as8JHvogg1PF5fh7e/DCHzszIKGp2bFEfpcKjIhIPVVpd/Dqf/fw+jc/YBjQPjKI2UMTaNmkgdnRRM5JBUZEpB46XnCGkfPT2XjwNADDesUw4aYO+HppyUjcgwqMiEg9s3JXDmM/zOR0SQUNfDyZMrAzN3WJMjuWyAVRgRERqScq7A5e+mo3b67aD0DnpsHMGppA80YBJicTuXAqMCIi9cDhvBJGzE8n43A+AHdf3oLxN7bDx1NLRuKeVGBEROq4r7Zn88jCTGyllQT5evLSoK4kd4wwO5bIJVGBERGpo8oq7Uz+YhfvrjkIQHx0CDOHJBAd6m9uMBEXUIEREamDDp0qJnVeOluPFgBw35UteSS5LV4eVpOTibiGCoyISB3z+ZbjjPt4C4VllTT09+KVO7pybbtws2OJuJQKjIhIHVFaYee5z3fw/rosAHq2aMiMIQlEBvuZnEzE9VRgRETqgP0nikiZl87O4zYAHry6FWP+0AZPLRlJHaUCIyLi5hanH+XxT7ZSUm6nUYA30+6M56o2TcyOJVKtVGBERNzUmXI7T3+6nQ82HQagd8tQpg9OIDzI1+RkItVPBUZExA3tzSkkZV4ae3KKsFhg5LVxjLwuDg+rxexoIjVCBUZExI0YhsHCzUeYuGQbpRUOmgT6MP3OeC5v3djsaCI1SgVGRMRNFJdVMmHxNhalHwXgirjGTLsjniaBPiYnE6l5KjAiIm5g53EbKfPS2H+iGKsFxl7flgeuaoVVS0ZST6nAiIjUYoZhMH/DYZ7+bDvllQ4ignyZMSSBy2JDzY4mYioVGBGRWqqwtILHP9nGZ5nHALimbRNeuSOe0ABvk5OJmE8FRkSkFtp2tIDUeWkcPFWCp9XCoze05W99W2rJSOR/VGBERGoRwzD4f2sP8fznOym3O2ga4seMIQl0b97Q7GgitYoKjIhILVFwpoLHPtrCsu3ZAPyhQzgv3d6FEH8tGYn8kgqMiEgtkHE4n9R5aRw5fQYvDwvj+7XnL31aYLFoyUjkbFRgRERMZBgGb68+wJQvd1HpMIgJ9WfW0AS6NAsxO5pIraYCIyJiktPF5Ty8MJMVu3IBuLFzBFMGdiHI18vkZCK1nwqMiIgJNh3MY+T8dI4VlOLtaWXCTR34U68YLRmJnCdrdRz06NGj/OlPf6JRo0b4+fnRuXNnNm3a5NxuGAYTJ04kMjISPz8/kpKS2Lt3b5Vj5OXlMWzYMIKCgggJCeGee+6hqKioOuKKiNQYh8Pg9W/2ceeb6zhWUEps4wA+efBy7urdXOVF5AK4vMCcPn2aPn364OXlxZdffsmOHTt45ZVXaNjw/y4BnDp1KjNmzGDOnDmsX7+egIAAkpOTKS0tdY4ZNmwY27dvZ/ny5SxdupRVq1Zx3333uTquiEiNOVVUxl/e3cjUZbuxOwxujY/isxF96RgVbHY0EbdjMQzDcOUBx40bx/fff89333131u2GYRAVFcXYsWN5+OGHASgoKCA8PJx3332XwYMHs3PnTjp06MDGjRvp0aMHAMuWLePGG2/kyJEjREVFnTOHzWYjODiYgoICgoKCXPcARUQuwrr9pxi1IJ0cWxm+XlaeuaUjd/SI1lkXkV843+dvl5+B+fTTT+nRoweDBg0iLCyMhIQE3nrrLef2AwcOkJ2dTVJSkvO24OBgevXqxdq1awFYu3YtISEhzvICkJSUhNVqZf369We937KyMmw2W5UvERGz2R0GM1bsZehb68ixldE6rAFLUvpyZ0+93kXkUri8wOzfv5833niDuLg4vvrqKx544AFGjhzJe++9B0B29o9v0BQeHl5lv/DwcOe27OxswsLCqmz39PQkNDTUOeaXJk+eTHBwsPMrOjra1Q9NROSC5BaW8ud/rWfa8j04DLi9ezM+Te1D24hAs6OJuD2XX4XkcDjo0aMHL7zwAgAJCQls27aNOXPmMHz4cFffndP48eMZM2aM83ubzaYSIyKmWb33JKM/yOBkURl+Xh48N6ATA7s3MzuWSJ3h8gITGRlJhw4dqtzWvn17Pv74YwAiIiIAyMnJITIy0jkmJyeH+Ph455jc3Nwqx6isrCQvL8+5/y/5+Pjg4+PjqochInJRKu0Opq/Yy6yv92EY0C4ikFlDu9E6rIHZ0UTqFJcvIfXp04fdu3dXuW3Pnj00b94cgNjYWCIiIlixYoVzu81mY/369SQmJgKQmJhIfn4+mzdvdo5ZuXIlDoeDXr16uTqyiIhLZBeUMvSf65m58sfyMuSyGBan9FF5EakGLj8D89BDD3H55ZfzwgsvcMcdd7BhwwbefPNN3nzzTQAsFgujR4/mueeeIy4ujtjYWCZMmEBUVBQDBgwAfjxjc8MNN3DvvfcyZ84cKioqSE1NZfDgwed1BZKISE37encuYz/MJK+4nABvDyYP7MItXfX7SqS6uPwyaoClS5cyfvx49u7dS2xsLGPGjOHee+91bjcMg6eeeoo333yT/Px8+vbty+uvv06bNm2cY/Ly8khNTeWzzz7DarUycOBAZsyYQYMG5/c/GV1GLSI1ocLu4OX/7OYf3+4HoGNUELOGdiO2cYDJyUTc0/k+f1dLgakNVGBEpLodzT/DiHlppGXlAzA8sTnjb2yPr5eHucFE3Nj5Pn/rs5BERC7C8h05PLwwk4IzFQT6ejJ1YBf6dY48944i4hIqMCIiF6C80sGLy3bx9uoDAHRtFsysod2IDvU3OZlI/aICIyJyng7nlZA6L43MIwUA3NM3lsduaIe3Z7V8Lq6I/A4VGBGR8/Dl1uM8+vEWCksrCfbz4uVBXflDh/Bz7ygi1UIFRkTkd5RW2Hnhi538v7WHAOgWE8LMod1oGuJncjKR+k0FRkTkNxw4WUzqvDS2H/vxw2H/flUrxl7fBi8PLRmJmE0FRkTkLJZkHOXxRVspLrcTGuDNtDu6cnXbsHPvKCI1QgVGRORnSivsPPPZduZvOAzAZbGhzBicQESwr8nJROTnVGBERP5nX24RKXPT2J1TiMUCI65pzcjr4vDUkpFIraMCIyICfLz5CE8u3saZCjuNG/jw2p3x9I1rbHYsEfkNKjAiUq+VlFcyccl2Ptp8BIA+rRvx6p3xhAVqyUikNlOBEZF6a3d2ISnz0tiXW4TVAqOT2pByTWs8rBazo4nIOajAiEi9YxgGH2w8zFOfbqes0kF4kA/TByfQu2Ujs6OJyHlSgRGReqWorJInPtnKkoxjAFzVpgnT7uhKowY+JicTkQuhAiMi9cb2YwWkzkvnwMliPKwWHr6+Lfdf2RKrloxE3I4KjIjUeYZh8P66Q0z6fCfllQ6ign2ZOTSB7s1DzY4mIhdJBUZE6jRbaQXjPt7CF1uzAUhqH8ZLt3elYYC3yclE5FKowIhInZV5OJ/U+WkczjuDl4eFx25oxz19Y7FYtGQk4u5UYESkzjEMg3e+P8jkL3dSYTdo1tCPWUO7ER8dYnY0EXERFRgRqVPyS8p55KMtLN+RA8ANHSN48fYuBPt5mZxMRFxJBUZE6oy0rNOMmJfO0fwzeHtYefKm9tzVu7mWjETqIBUYEXF7DofBW9/t56WvdlPpMGjeyJ/ZQ7vRqWmw2dFEpJqowIiIW8srLmfshxl8vfsEADd1iWTybZ0J9NWSkUhdpgIjIm5rw4E8Rs5PJ9tWio+nladu7siQy6K1ZCRSD6jAiIjbcTgMXv9mH9OW78FhQMsmAcwe2o32kUFmRxORGqICIyJu5URhGWM+zOC7vScBuC2hKZMGdCLAR7/OROoT/YsXEbexZt9JRn2QwYnCMvy8PHj21o4M6hFtdiwRMYEKjIjUenaHwfQVe5m5ci+GAW3CGzB7aDfiwgPNjiYiJlGBEZFaLcdWyqgF6azbnwfA4J7RPHVzR/y8PUxOJiJmUoERkVpr1Z4TPPRBBqeKywnw9uCF2zpza3xTs2OJSC2gAiMitU6l3cG05Xt4/ZsfAGgfGcTsoQm0bNLA5GQiUluowIhIrXIs/wwj56ez6dBpAP7UO4Yn+3fA10tLRiLyf1RgRKTWWLkrhzEfZpJfUkGgjyeTB3bmpi5RZscSkVpIBUZETFde6eClr3bx1ncHAOjcNJhZQxNo3ijA5GQiUlupwIiIqQ7nlTBifjoZh/MB+EufFozr1w4fTy0ZichvU4EREdMs25bNox9lYiutJMjXk5cGdSW5Y4TZsUTEDajAiEiNK6u0M/mLXby75iAACTEhzBySQLOG/uYGExG3oQIjIjXq0KliUuels/VoAQD3X9mSh5Pb4uVhNTmZiLgTFRgRqTFLtxxj3MdbKSqrpKG/F6/c0ZVr24WbHUtE3JAKjIhUu9IKO5OW7mDu+iwAerZoyIwhCUQG+5mcTETclQqMiFSrH04UkTI3jV3ZhVgs8ODVrXgoqQ2eWjISkUugAiMi1eaT9CM88ck2SsrtNArw5tU747myTROzY4lIHaACIyIud6bczlOfbuPDTUcASGzZiOmD4wkL8jU5mYjUFSowIuJSe3IKSZmbxt7cIiwWGHVdHCOujcPDajE7mojUISowIuIShmGwcPMRJi7ZRmmFgyaBPkwfHM/lrRqbHU1E6iAVGBG5ZMVllTy5eBufpB8F4Iq4xrx6ZzyNG/iYnExE6ioVGBG5JDuP20iZm8b+k8V4WC2M+UMbHriqFVYtGYlINVKBEZGLYhgG8zZk8cxnOyivdBAR5MvMoQn0bBFqdjQRqQdUYETkghWWVjB+0VaWbjkOwLXtwnh5UFdCA7xNTiYi9YUKjIhckG1HC0iZl8ahUyV4Wi08ekNb/ta3pZaMRKRGqcCIyHkxDIP31hzkhS92UW530DTEj5lDE+gW09DsaCJSD6nAiMg5FZRU8OjHmXy1PQeA6zuE89LtXQn29zI5mYjUVyowIvK70rNOM2J+OkdOn8HLw8LjN7bn7stbYLFoyUhEzKMCIyJnZRgG//zuAC8u20WlwyAm1J9ZQxPo0izE7GgiIiowIvJrp4vLeXhhJit25QLQv3Mkkwd2JshXS0YiUjuowIhIFZsO5jFifjrHC0rx9rQy8aYODOsVoyUjEalVrNV9B1OmTMFisTB69GjnbaWlpaSkpNCoUSMaNGjAwIEDycnJqbJfVlYW/fv3x9/fn7CwMB555BEqKyurO65IveVwGLz+zT7ufHMdxwtKadk4gMUP9uFPvZurvIhIrVOtZ2A2btzIP/7xD7p06VLl9oceeojPP/+chQsXEhwcTGpqKrfddhvff/89AHa7nf79+xMREcGaNWs4fvw4f/7zn/Hy8uKFF16ozsgi9dLJojLGfJjJqj0nABgQH8Vzf+xMAx+dpBWR2qnazsAUFRUxbNgw3nrrLRo2/L/3iSgoKODtt99m2rRpXHvttXTv3p133nmHNWvWsG7dOgD+85//sGPHDt5//33i4+Pp168fkyZNYvbs2ZSXl1dXZJF6ad3+U9w4/TtW7TmBr5eVqQO78Oqd8SovIlKrVVuBSUlJoX///iQlJVW5ffPmzVRUVFS5vV27dsTExLB27VoA1q5dS+fOnQkPD3eOSU5OxmazsX379rPeX1lZGTabrcqXiPw2u8Ng+n/3MvStdeQWltE6rAFLUvpyR89oLRmJSK1XLf/FWrBgAWlpaWzcuPFX27Kzs/H29iYkJKTK7eHh4WRnZzvH/Ly8/LT9p21nM3nyZJ555hkXpBep+3ILSxm9IIM1P5wCYFD3Zjxza0f8vXXWRUTcg8vPwBw+fJhRo0Yxd+5cfH19XX343zR+/HgKCgqcX4cPH66x+xZxJ6v3nuTG6d+x5odT+Ht7MO2Orrw0qKvKi4i4FZf/xtq8eTO5ubl069bNeZvdbmfVqlXMmjWLr776ivLycvLz86uchcnJySEiIgKAiIgINmzYUOW4P12l9NOYX/Lx8cHHx8fFj0ak7qi0O3jtv3uZ/c0+DAPaRQQya2g3Woc1MDuaiMgFc/kZmOuuu46tW7eSkZHh/OrRowfDhg1z/tnLy4sVK1Y499m9ezdZWVkkJiYCkJiYyNatW8nNzXWOWb58OUFBQXTo0MHVkUXqvOMFZxj61npmff1jeRnaK4bFKX1UXkTEbbn8DExgYCCdOnWqcltAQACNGjVy3n7PPfcwZswYQkNDCQoKYsSIESQmJtK7d28Arr/+ejp06MBdd93F1KlTyc7O5sknnyQlJUVnWUQu0Ne7cxnzQQanSypo4OPJC7d15pauUWbHEhG5JKYser/66qtYrVYGDhxIWVkZycnJvP76687tHh4eLF26lAceeIDExEQCAgIYPnw4zz77rBlxRdxShd3By//ZzT++3Q9Ap6ZBzBrSjRaNA0xOJiJy6SyGYRhmh6gONpuN4OBgCgoKCAoKMjuOSI06mn+GEfPSSMvKB+Duy1sw/sZ2+Hh6mBtMROQczvf5W5cdiNQxy3fk8PDCTArOVBDo68lLt3fhhk6RZscSEXEpFRiROqK80sGUL3fxr+8PANC1WTCzhnYjOtTf5GQiIq6nAiNSB2SdKiF1fhpbjhQA8Le+sTx6Qzu8Pav981pFREyhAiPi5r7YepzHPtpCYVklwX5evDKoK0kdws+9o4iIG1OBEXFTpRV2nv98J/9edwiA7s0bMmNIAk1D/ExOJiJS/VRgRNzQgZPFpMxNY8fxHz+09IGrWzHmD23w8tCSkYjUDyowIm5mScZRHl+0leJyO6EB3ky7oytXtw0zO5aISI1SgRFxE6UVdp7+dDsLNv74QaW9YkOZMSSB8KCa+9BUEZHaQgVGxA3syy0kZW46u3MKsVhgxLVxjLy2NZ5aMhKRekoFRqSW+2jzESYs3saZCjuNG/gwfXA8fVo3NjuWiIipVGBEaqmS8komLN7Ox2lHAOjTuhGv3hlPWKCWjEREVGBEaqFd2TZS5qbxw4lirBZ4KKkND17TGg+rxexoIiK1ggqMSC1iGAYfbDzMU59up6zSQXiQD9MHJ9C7ZSOzo4mI1CoqMCK1RFFZJY8v2sqnmccAuKpNE6bd0ZVGDXxMTiYiUvuowIjUAtuOFpA6L42Dp0rwsFp4JLkt913REquWjEREzkoFRsREhmHw/rpDTFq6k3K7g6hgX2YOTaB781Czo4mI1GoqMCImsZVWMO7jLXyxNRuApPbhvDyoCyH+3iYnExGp/VRgREyQeTif1PlpHM47g5eHhXH92vPXPi2wWLRkJCJyPlRgRGqQYRj86/uDTPlyJxV2g+hQP2YN6UbX6BCzo4mIuBUVGJEakl9SzsMLt/DfnTkA9OsUwZSBXQj28zI5mYiI+1GBEakBmw+dZuT8dI7mn8Hbw8qTN7Xnrt7NtWQkInKRVGBEqpHDYfDmd/t56avd2B0GLRr5M2toNzo1DTY7moiIW1OBEakmp4rKGLswk292nwDg5q5RvPDHTgT6aslIRORSqcCIVIP1+08xckE6ObYyfDytPH1LRwb3jNaSkYiIi6jAiLiQ3WHw+tf7ePW/e3AY0KpJALOHdaNdRJDZ0URE6hQVGBEXOVFYxkMfZLB630kAbuvWlEm3diLAR//MRERcTb9ZRVxgzb6TjFyQwcmiMvy8PJg0oBO3d29mdiwRkTpLBUbkEtgdBtNX7GXmyr0YBrQND2TW0ATiwgPNjiYiUqepwIhcpBxbKaMWpLNufx4Ag3tG89TNHfHz9jA5mYhI3acCI3IRvt1zgjEfZHCquJwAbw9euK0zt8Y3NTuWiEi9oQIjcgEq7Q5eWb6HN775AYD2kUHMHppAyyYNTE4mIlK/qMCInKdj+WcYOT+dTYdOA3BX7+Y80b89vl5aMhIRqWkqMCLnYcXOHMYuzCS/pIJAH0+mDOxC/y6RZscSEam3VGBEfkd5pYOpy3bxz9UHAOjSLJhZQ7oR08jf5GQiIvWbCozIbzicV0Lq/HQyD+cD8Nc+sTzWry0+nloyEhExmwqMyFks25bNIx9lUlhaSZCvJy8P6sr1HSPMjiUiIv+jAiPyM2WVdiZ/sYt31xwEICEmhJlDEmjWUEtGIiK1iQqMyP8cPFlM6vw0th21AXD/VS15+Pq2eHlYTU4mIiK/pAIjAizdcoxxH2+lqKyShv5eTLsjnmvahZkdS0REfoMKjNRrpRV2nl26g3nrswDo2aIhM4YkEBnsZ3IyERH5PSowUm/9cKKIlLlp7MouxGKBlKtbMzopDk8tGYmI1HoqMFIvfZJ+hCc+2UZJuZ3GDbx59c54rohrYnYsERE5TyowUq+UlFfy1JLtLNx8BIDElo2YPjiesCBfk5OJiMiFUIGRemNPTiEpc9PYm1uE1QKjrmtD6rWt8bBazI4mIiIXSAVG6jzDMFi46QgTP91GaYWDsEAfpg9OILFVI7OjiYjIRVKBkTqtuKySJxdv45P0owBcEdeYV++Mp3EDH5OTiYjIpVCBkTprxzEbqfPS2H+yGA+rhbHXt+HvV7bCqiUjERG3pwIjdY5hGMzbkMUzn+2gvNJBZLAvM4Yk0LNFqNnRRETERVRgpE4pLK1g3KKtfL7lOADXtgvj5UFdCQ3wNjmZiIi4kgqM1BlbjxSQOj+NQ6dK8LRaeOyGdtzTN1ZLRiIidZAKjLg9wzB4b81BXvhiF+V2B01D/Jg5NIFuMQ3NjiYiItVEBUbcWkFJBY9+nMlX23MAuL5DOC/d3pVgfy+Tk4mISHVSgRG3lZ51mtR56RzNP4O3h5XHb2zH8MtbYLFoyUhEpK5TgRG343AYvL36AC8u20WlwyAm1J/ZQ7vRuVmw2dFERKSGqMCIWzldXM7YhZms3JULQP8ukUy+rTNBvloyEhGpT1RgxG1sOpjHiPnpHC8oxdvTylM3d2DoZTFaMhIRqYesrj7g5MmT6dmzJ4GBgYSFhTFgwAB2795dZUxpaSkpKSk0atSIBg0aMHDgQHJycqqMycrKon///vj7+xMWFsYjjzxCZWWlq+OKG3A4DGZ/vY8731zH8YJSWjYOYPGDfRjWq7nKi4hIPeXyAvPtt9+SkpLCunXrWL58ORUVFVx//fUUFxc7xzz00EN89tlnLFy4kG+//ZZjx45x2223Obfb7Xb69+9PeXk5a9as4b333uPdd99l4sSJro4rtdzJojKGv7OBl77ajd1h8MeEpnw2oi8dooLMjiYiIiayGIZhVOcdnDhxgrCwML799luuvPJKCgoKaNKkCfPmzeP2228HYNeuXbRv3561a9fSu3dvvvzyS2666SaOHTtGeHg4AHPmzOGxxx7jxIkTeHuf+11VbTYbwcHBFBQUEBSkJzt3tPaHU4xakE5uYRm+XlaevaUTg3o001kXEZE67Hyfv11+BuaXCgoKAAgN/fFzaDZv3kxFRQVJSUnOMe3atSMmJoa1a9cCsHbtWjp37uwsLwDJycnYbDa2b99+1vspKyvDZrNV+RL3ZHcYvPbfPQz75zpyC8uIC2vAp6l9uaNntMqLiIgA1VxgHA4Ho0ePpk+fPnTq1AmA7OxsvL29CQkJqTI2PDyc7Oxs55ifl5eftv+07WwmT55McHCw8ys6OtrFj0ZqQq6tlLveXs9r/92Lw4BB3ZuxJLUPbcIDzY4mIiK1SLVehZSSksK2bdtYvXp1dd4NAOPHj2fMmDHO7202m0qMm/lu7wke+iCDk0Xl+Ht78NyATtzWrZnZsUREpBaqtgKTmprK0qVLWbVqFc2a/d+TUEREBOXl5eTn51c5C5OTk0NERIRzzIYNG6oc76erlH4a80s+Pj74+Pi4+FFITai0O3jtv3uZ/c0+DAPaRQQya2g3Woc1MDuaiIjUUi5fQjIMg9TUVD755BNWrlxJbGxsle3du3fHy8uLFStWOG/bvXs3WVlZJCYmApCYmMjWrVvJzc11jlm+fDlBQUF06NDB1ZHFRMcLzjD0rfXM+vrH8jK0VwyLU/qovIiIyO9y+RmYlJQU5s2bx5IlSwgMDHS+ZiU4OBg/Pz+Cg4O55557GDNmDKGhoQQFBTFixAgSExPp3bs3ANdffz0dOnTgrrvuYurUqWRnZ/Pkk0+SkpKisyx1yNe7chnzYQanSypo4OPJ5Ns6c3PXKLNjiYiIG3D5ZdS/dZXIO++8w9133w38+EZ2Y8eOZf78+ZSVlZGcnMzrr79eZXno0KFDPPDAA3zzzTcEBAQwfPhwpkyZgqfn+XUuXUZde1XYHbz81W7+sWo/AJ2aBjFrSDdaNA4wOZmIiJjtfJ+/q/19YMyiAlM7HTldwoj56aRn5QNw9+UtGH9jO3w8PcwNJiIitcL5Pn/rs5CkxvxnezaPfLSFgjMVBPp68tLtXbihU6TZsURExA2pwEi1K690MPnLnbzz/UEAukaHMGtIAtGh/uYGExERt6UCI9Uq61QJqfPT2HLkx3dkvveKWB5Jboe3Z7W/CbSIiNRhKjBSbb7YepzHPtpCYVklIf5evHx7V5I6hJ97RxERkXNQgRGXK62w89znO3h/XRYAPZo3ZMaQBKJC/ExOJiIidYUKjLjUgZPFpMxNY8fxHz9M88GrW/HQH9rg5aElIxERcR0VGHGZJRlHeXzRVorL7TQK8GbanfFc1aaJ2bFERKQOUoGRS3am3M4zn21nwcbDAPRuGcr0wQmEB/manExEROoqFRi5JPtyC0mZm87unEIsFhhxbRyjrovDw3r2d2QWERFxBRUYuWgfbT7ChMXbOFNhp3EDH6YPjqdP68ZmxxIRkXpABUYuWHFZJROWbGNR2lEA+rZuzKt3xtMkUB+0KSIiNUMFRi7IrmwbKXPT+OFEMVYLjPlDGx64urWWjEREpEapwMh5MQyDBRsP8/Sn2ymrdBAe5MOMwQn0atnI7GgiIlIPqcDIORWWVvD4J9v4LPMYAFe3bcIrg7rSqIGWjERExBwqMPK7th0tIHVeGgdPleBhtfBoclvuvaIlVi0ZiYiIiVRg5KwMw+Df6w7x3NKdlNsdNA3xY8aQBLo3b2h2NBERERUY+bWCMxWMX7SFL7ZmA5DUPpyXB3UhxN/b5GQiIiI/UoGRKjIP55M6P43DeWfw8rAwvl97/tKnBRaLloxERKT2UIER4Mclo399f5ApX+6kwm4QHerHrCHd6BodYnY0ERGRX1GBEfJLynl44Rb+uzMHgH6dIpgysAvBfl4mJxMRETk7FZh6bvOhPEbMS+dYQSneHlYm3NSeP/VuriUjERGp1VRg6imHw+DN7/bz0le7sTsMWjTyZ9bQbnRqGmx2NBERkXNSgamHThWVMXZhJt/sPgHALV2jeOG2zjTw0V8HERFxD3rGqmfW7z/FyAXp5NjK8PG08swtHbmzZ7SWjERExK2owNQTdofB61/v49X/7sFhQKsmAcwe1o12EUFmRxMREblgKjD1wInCMh76IIPV+04CMLBbMyYN6Ii/t378IiLinvQMVsd9v+8koxZkcLKoDD8vDyYN6MTt3ZuZHUtEROSSqMDUUXaHwfQVe5m5ci+GAW3DA5k9LIHWYYFmRxMREblkKjB1UI6tlJHz01l/IA+AwT2jeermjvh5e5icTERExDVUYOqYb3bnMubDTPKKywnw9uCF2zpza3xTs2OJiIi4lApMHVFhdzBt+R7e+OYHADpEBjFraAItmzQwOZmIiIjrqcDUAcfyzzBifjqbD50G4K7ezXmif3t8vbRkJCIidZMKjJv7744cHv4ok/ySCgJ9PHnx9i7c2DnS7FgiIiLVSgXGTZVXOpi6bBf/XH0AgC7Ngpk1pBsxjfxNTiYiIlL9VGDc0OG8ElLnp5N5OB+Av/aJZVy/dnh7Ws0NJiIiUkNUYNzMsm3HeeSjLRSWVhLs58XLg7ryhw7hZscSERGpUSowbqKs0s4Ln+/kvbWHAOgWE8KMIQk0a6glIxERqX9UYNzAwZPFpM5PY9tRGwD3X9WSh69vi5eHloxERKR+UoGp5T7LPMb4RVspKqukob8X0+6I55p2YWbHEhERMZUKTC1VWmHnmc92MH9DFgCXtQhl+pB4IoP9TE4mIiJiPhWYWmhfbhGp89LYlV2IxQKp17Rm1HVxeGrJSEREBFCBqXUWpR3hycXbKCm307iBN6/eGc8VcU3MjiUiIlKrqMDUEiXllUxcsp2PNh8B4PJWjXjtznjCgnxNTiYiIlL7qMDUAntyCkmZm8be3CKsFhh1XRtSr22Nh9VidjQREZFaSQXGRIZhsHDTESZ+uo3SCgdhgT5MH5xAYqtGZkcTERGp1VRgTFJUVsmTn2xlccYxAK5s04Rpd3SlcQMfk5OJiIjUfiowJthxzEbqvDT2nyzGw2ph7PVt+PuVrbBqyUhEROS8qMDUIMMwmLs+i2eX7qC80kFksC8zhiTQs0Wo2dFERETcigpMDbGVVjB+0VY+33IcgOvahfHyoK40DPA2OZmIiIj7UYGpAVuO5JM6L52svBI8rRbG9WvHPX1jsVi0ZCQiInIxVGCqkWEYvLvmIC98sZMKu0HTED9mDU0gIaah2dFERETcmgpMNSkoqeCRjzL5z44cAJI7hjN1YFeC/b1MTiYiIuL+VGCqQXrWaVLnpXM0/wzeHlae6N+ePyc215KRiIiIi6jAuJDDYfD26gO8uGwXlQ6D5o38mTWkG52bBZsdTUREpE5RgXGR08XljF2YycpduQDc1CWSybd1JtBXS0YiIiKupgLjAhsP5jFyfjrHC0rx9rTy9M0dGXJZtJaMREREqonV7AC/Z/bs2bRo0QJfX1969erFhg0bzI5UhcNhMPvrfQx+cx3HC0pp2TiAJSl9GNorRuVFRESkGtXaAvPBBx8wZswYnnrqKdLS0ujatSvJycnk5uaaHQ2Ak0VlDH9nAy99tRu7w+CPCU35bERf2kcGmR1NRESkzrMYhmGYHeJsevXqRc+ePZk1axYADoeD6OhoRowYwbhx4865v81mIzg4mIKCAoKCXFsq1vxwklELMjhRWIavl5Vnb+3EoO7NdNZFRETkEp3v83etfA1MeXk5mzdvZvz48c7brFYrSUlJrF279qz7lJWVUVZW5vzeZrO5PJfDYbB8/msc27mOB4CQIC+uaRtGwxPfwjKX352IiEjt1nUwRMWbcte1ssCcPHkSu91OeHh4ldvDw8PZtWvXWfeZPHkyzzzzTLXmsligcc53JHuu+PGGcmBrtd6liIhI7dWshwrMpRo/fjxjxoxxfm+z2YiOjnbpfVgsFjpeM4R9u1rTOqyBS48tIiLidpq0M+2ua2WBady4MR4eHuTk5FS5PScnh4iIiLPu4+Pjg4+PT7Vn800YROuEQdV+PyIiIvLbauVVSN7e3nTv3p0VK1Y4b3M4HKxYsYLExEQTk4mIiEhtUCvPwACMGTOG4cOH06NHDy677DJee+01iouL+ctf/mJ2NBERETFZrS0wd955JydOnGDixIlkZ2cTHx/PsmXLfvXCXhEREal/au37wFyq6nwfGBEREake5/v8XStfAyMiIiLye1RgRERExO2owIiIiIjbUYERERERt6MCIyIiIm5HBUZERETcjgqMiIiIuB0VGBEREXE7KjAiIiLidmrtRwlcqp/eYNhms5mcRERERM7XT8/b5/qggDpbYAoLCwGIjo42OYmIiIhcqMLCQoKDg39ze539LCSHw8GxY8cIDAzEYrG47Lg2m43o6GgOHz6sz1iqZprrmqF5rhma55qhea451TXXhmFQWFhIVFQUVutvv9Klzp6BsVqtNGvWrNqOHxQUpH8cNURzXTM0zzVD81wzNM81pzrm+vfOvPxEL+IVERERt6MCIyIiIm5HBeYC+fj48NRTT+Hj42N2lDpPc10zNM81Q/NcMzTPNcfsua6zL+IVERGRuktnYERERMTtqMCIiIiI21GBEREREbejAiMiIiJuRwXmAs2ePZsWLVrg6+tLr1692LBhg9mR3MrkyZPp2bMngYGBhIWFMWDAAHbv3l1lTGlpKSkpKTRq1IgGDRowcOBAcnJyqozJysqif//++Pv7ExYWxiOPPEJlZWVNPhS3MWXKFCwWC6NHj3bepjl2naNHj/KnP/2JRo0a4efnR+fOndm0aZNzu2EYTJw4kcjISPz8/EhKSmLv3r1VjpGXl8ewYcMICgoiJCSEe+65h6Kiopp+KLWW3W5nwoQJxMbG4ufnR6tWrZg0aVKVz8rRPF+cVatWcfPNNxMVFYXFYmHx4sVVtrtqXrds2cIVV1yBr68v0dHRTJ069dLDG3LeFixYYHh7exv/+te/jO3btxv33nuvERISYuTk5JgdzW0kJycb77zzjrFt2zYjIyPDuPHGG42YmBijqKjIOebvf/+7ER0dbaxYscLYtGmT0bt3b+Pyyy93bq+srDQ6depkJCUlGenp6cYXX3xhNG7c2Bg/frwZD6lW27Bhg9GiRQujS5cuxqhRo5y3a45dIy8vz2jevLlx9913G+vXrzf2799vfPXVV8a+ffucY6ZMmWIEBwcbixcvNjIzM41bbrnFiI2NNc6cOeMcc8MNNxhdu3Y11q1bZ3z33XdG69atjSFDhpjxkGql559/3mjUqJGxdOlS48CBA8bChQuNBg0aGNOnT3eO0TxfnC+++MJ44oknjEWLFhmA8cknn1TZ7op5LSgoMMLDw41hw4YZ27ZtM+bPn2/4+fkZ//jHPy4puwrMBbjsssuMlJQU5/d2u92IiooyJk+ebGIq95abm2sAxrfffmsYhmHk5+cbXl5exsKFC51jdu7caQDG2rVrDcP48R+c1Wo1srOznWPeeOMNIygoyCgrK6vZB1CLFRYWGnFxccby5cuNq666yllgNMeu89hjjxl9+/b9ze0Oh8OIiIgwXnrpJedt+fn5ho+PjzF//nzDMAxjx44dBmBs3LjROebLL780LBaLcfTo0eoL70b69+9v/PWvf61y22233WYMGzbMMAzNs6v8ssC4al5ff/11o2HDhlV+dzz22GNG27ZtLymvlpDOU3l5OZs3byYpKcl5m9VqJSkpibVr15qYzL0VFBQAEBoaCsDmzZupqKioMs/t2rUjJibGOc9r166lc+fOhIeHO8ckJydjs9nYvn17Daav3VJSUujfv3+VuQTNsSt9+umn9OjRg0GDBhEWFkZCQgJvvfWWc/uBAwfIzs6uMtfBwcH06tWrylyHhITQo0cP55ikpCSsVivr16+vuQdTi11++eWsWLGCPXv2AJCZmcnq1avp168foHmuLq6a17Vr13LllVfi7e3tHJOcnMzu3bs5ffr0Reersx/m6GonT57EbrdX+YUOEB4ezq5du0xK5d4cDgejR4+mT58+dOrUCYDs7Gy8vb0JCQmpMjY8PJzs7GznmLP9HH7aJrBgwQLS0tLYuHHjr7Zpjl1n//79vPHGG4wZM4bHH3+cjRs3MnLkSLy9vRk+fLhzrs42lz+f67CwsCrbPT09CQ0N1Vz/z7hx47DZbLRr1w4PDw/sdjvPP/88w4YNA9A8VxNXzWt2djaxsbG/OsZP2xo2bHhR+VRgxDQpKSls27aN1atXmx2lTjl8+DCjRo1i+fLl+Pr6mh2nTnM4HPTo0YMXXngBgISEBLZt28acOXMYPny4yenqjg8//JC5c+cyb948OnbsSEZGBqNHjyYqKkrzXI9pCek8NW7cGA8Pj19dqZGTk0NERIRJqdxXamoqS5cu5euvv6ZZs2bO2yMiIigvLyc/P7/K+J/Pc0RExFl/Dj9tq+82b95Mbm4u3bp1w9PTE09PT7799ltmzJiBp6cn4eHhmmMXiYyMpEOHDlVua9++PVlZWcD/zdXv/d6IiIggNze3yvbKykry8vI01//zyCOPMG7cOAYPHkznzp256667eOihh5g8eTKgea4urprX6vp9ogJznry9venevTsrVqxw3uZwOFixYgWJiYkmJnMvhmGQmprKJ598wsqVK391WrF79+54eXlVmefdu3eTlZXlnOfExES2bt1a5R/N8uXLCQoK+tWTSX103XXXsXXrVjIyMpxfPXr0YNiwYc4/a45do0+fPr96G4A9e/bQvHlzAGJjY4mIiKgy1zabjfXr11eZ6/z8fDZv3uwcs3LlShwOB7169aqBR1H7lZSUYLVWfbry8PDA4XAAmufq4qp5TUxMZNWqVVRUVDjHLF++nLZt21708hGgy6gvxIIFCwwfHx/j3XffNXbs2GHcd999RkhISJUrNeT3PfDAA0ZwcLDxzTffGMePH3d+lZSUOMf8/e9/N2JiYoyVK1camzZtMhITE43ExETn9p8u8b3++uuNjIwMY9myZUaTJk10ie/v+PlVSIahOXaVDRs2GJ6ensbzzz9v7N2715g7d67h7+9vvP/++84xU6ZMMUJCQowlS5YYW7ZsMW699dazXoaakJBgrF+/3li9erURFxdX7y/v/bnhw4cbTZs2dV5GvWjRIqNx48bGo48+6hyjeb44hYWFRnp6upGenm4AxrRp04z09HTj0KFDhmG4Zl7z8/ON8PBw46677jK2bdtmLFiwwPD399dl1DVt5syZRkxMjOHt7W1cdtllxrp168yO5FaAs3698847zjFnzpwxHnzwQaNhw4aGv7+/8cc//tE4fvx4leMcPHjQ6Nevn+Hn52c0btzYGDt2rFFRUVHDj8Z9/LLAaI5d57PPPjM6depk+Pj4GO3atTPefPPNKtsdDocxYcIEIzw83PDx8TGuu+46Y/fu3VXGnDp1yhgyZIjRoEEDIygoyPjLX/5iFBYW1uTDqNVsNpsxatQoIyYmxvD19TVatmxpPPHEE1Uuy9U8X5yvv/76rL+Thw8fbhiG6+Y1MzPT6Nu3r+Hj42M0bdrUmDJlyiVntxjGz97KUERERMQN6DUwIiIi4nZUYERERMTtqMCIiIiI21GBEREREbejAiMiIiJuRwVGRERE3I4KjIiIiLgdFRgRERFxOyowIiIi4nZUYERERMTtqMCIiIiI21GBEREREbfz/wEwZ/mr/Fo0lgAAAABJRU5ErkJggg==",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "result_df.plot()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "5bfdcaf9",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df = result_df.sort_values(by='id', ascending=False)\n",
    "accounts = df['id']\n",
    "values = df['pagerank']\n",
    "plt.bar(accounts, values, color ='maroon', width = 0.4)\n",
    "plt.xlabel(\"Account ID\")\n",
    "plt.ylabel(\"Page Rank Value\")\n",
    "plt.title(\"Page Rank Value by Account ID\")\n",
    "plt.show()"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "id": "d3dff649",
   "metadata": {},
   "source": [
    "## Step 9: Close PGX Session"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "a55772ea",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Close the session after executing all graph queries\n",
    "session.close()"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.9.12"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}