Psycopg2_Views.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# `Python to Postgresql (Psycopg2)`: \n",
    "# `Create/Use (VIEWS)` | `Bonus: Date-Time Queries`\n",
    "\n",
    "**<font color=red>Mr Fugu Data Science</font>**\n",
    "\n",
    "\n",
    "# (◕‿◕✿)\n",
    "\n",
    "[Github](https://github.com/MrFuguDataScience) | [Youtube](https://www.youtube.com/channel/UCbni-TDI-Ub8VlGaP8HLTNw?view_as=subscriber)\n",
    "\n",
    "`------------------`\n",
    "\n",
    "`Purpose & Outcome`:\n",
    "\n",
    "+ Describe pursose and uses of `views`\n",
    "+ Create 2 View examples\n",
    "   + Query Date Information"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "+ If you are working in a real world scenario, you will most likely need to hide your credentials,   permissions, login & password\n",
    "that is where these files shine. \n",
    "\n",
    "[create init and config files](https://towardsdatascience.com/python-and-postgresql-how-to-access-a-postgresql-database-like-a-data-scientist-b5a9c5a0ea43) | [Python_configparser doc](https://docs.python.org/3/library/configparser.html) | [Postgres_tutorial_Python_PSQL](https://www.postgresqltutorial.com/postgresql-python/connect/)\n",
    "\n",
    "1<sup>st</sup>) : create the initialization file:\n",
    "\n",
    "+ use your terminal or notepad, unless your favorite editor directly converts to this format `.ini` file.\n",
    "    + on `Mac` I did `touch database_file_init.ini`\n",
    "        + `vi database_file.ini`     *then inside the file type following lines:*\n",
    "            + `[postgresql]`\n",
    "            + `host=localhost`\n",
    "            + `database=what_databse_you_want_to_access`\n",
    "            + `user= some_user_you_created_for_this_user_in_psql`\n",
    "            + `password= some_password_you_have_to_this_db`\n",
    "            \n",
    "`------------------------------------------------`\n",
    "\n",
    "2<sup>nd</sup>) : now the `config.py` file this will be used to take data from `init file` and outputs a `dictionary`.\n",
    "\n",
    "+ this file will look like this as an **example**:\n",
    "`{‘host’: ‘localhost’, ‘database’: ‘suppliers’, ‘user’: ‘postgres’, ‘password’: ‘postgres’}` when it is read.\n",
    "\n",
    "`HERE IS THE CODE`:\n",
    "\n",
    "`____________________________________________________`\n",
    "\n",
    "#!/usr/bin/python    (can also do virtenv,env)\n",
    "\n",
    "from configparser import ConfigParser\n",
    " \n",
    "def config(filename='database.ini', section='postgresql'):\n",
    "    # create a parser\n",
    "    parser = ConfigParser()\n",
    "    # read config file\n",
    "    parser.read(filename)\n",
    " \n",
    "    # get section, default to postgresql\n",
    "    db = {}\n",
    "    \n",
    "    # Checks to see if section (postgresql) parser exists\n",
    "    if parser.has_section(section):\n",
    "        params = parser.items(section)\n",
    "        for param in params:\n",
    "            db[param[0]] = param[1]\n",
    "         \n",
    "    # Returns an error if a parameter is called that is not listed in the initialization file\n",
    "    else:\n",
    "        raise Exception('Section {0} not found in the {1} file'.format(section, filename))\n",
    " \n",
    "    return db\n",
    "    \n",
    "    \n",
    "**This code was adpated from online material on Postgres website and used in 1<sup>st</sup> & 3<sup>rd</sup> link above**\n",
    "\n",
    "\n",
    "`---------------------------------------`\n",
    "\n",
    "# Install Psycopg2:\n",
    "\n",
    "+ `python -m pip install psycopg2`\n",
    "\n",
    "* if this doesn't work, try changing `pip` to `pip3` depending on what version of Python you are using\n",
    "\n",
    "+ if that doesn't work either try to do: `conda install -c anaconda psycopg2`\n",
    "\n",
    "\n",
    "**For my installation I found problems with installation: I did two steps**: `pip3 install psycopg2` followed by the `conda install -c anaconda psycopg2`. The first install showed complete but did not work, I feel that I may have been imcomplete with all the dependencies needed. Also, I was getting a `Python 2.7 error hashing`. `I suggest that you first check the version of Python and Location PATH. I feel that my default Location may be anaconda calling Python if I remember correctly.`\n",
    "\n",
    "+ I thought this was from using a wrong default version of Python, changed my default and still didn't work. That was not the entire case, try the above and hope this works for you.\n",
    "\n",
    "+ Separate source for installing: depending on situation. [install on Mac](https://www.youtube.com/watch?v=N4RxnQH2pVY)\n",
    "\n",
    "`____________________________________________`"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "If you do not want to create init or config files: do something similar to this\n",
    "\n",
    "**`import psycopg2`**\n",
    "\n",
    "**`conn = psycopg2.connect(\"dbname=test, user=postgres\")`** #Connect to an existing database\n",
    "\n",
    "**`cur = conn.cursor( )`** #Open a cursor to perform database operations`\n",
    "\n",
    "\n",
    "`--------------------------------------------`"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "import psycopg2             # python->psql connection\n",
    "# \n",
    "import pandas as pd         # create dataframes \n",
    "# import calendar             # convert int to month\n",
    "# import matplotlib.pyplot as plt  # barchar plot\n",
    "import seaborn as sns\n",
    "\n",
    "# Import the 'config' function from the config_user_dta.py file:\n",
    "from config_user_dta import config"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Get the config params\n",
    "params_ = config()\n",
    "\n",
    "# Connect to the Postgres_DB:\n",
    "conn = psycopg2.connect(**params_)\n",
    "\n",
    "# Create new_cursor allowing us to write Python to execute PSQL:\n",
    "cur = conn.cursor()\n",
    "\n",
    "conn.autocommit = True  # read documentation understanding when to Use & NOT use (TRUE)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 281,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[('5399-3484-4724-7187',\n",
       "  'gso@qiegan.sqe',\n",
       "  'Donyell Ann',\n",
       "  'Ospina',\n",
       "  '5219459148',\n",
       "  'Intel Core i1-7554K',\n",
       "  datetime.date(2019, 10, 31)),\n",
       " ('1630-5261-6108-7631',\n",
       "  'xnji@gfruaxqnvm.fha',\n",
       "  'Bishop',\n",
       "  'Siyed',\n",
       "  '4164254716',\n",
       "  'AMD Ryzen 1 5827X',\n",
       "  datetime.date(2017, 7, 16))]"
      ]
     },
     "execution_count": 281,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sql_=\"SELECT * FROM  ppl_cpu_purchases LIMIT 2\"\n",
    "cur.execute(sql_)\n",
    "cur.fetchall()\n",
    "\n",
    "# pd.DataFrame(cur.fetchall(),columns=['credit_card','email','first_name','last_name',\n",
    "# 'primary_phone','cpu','purchase_date'])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# What is a `View`?\n",
    "\n",
    "+ It can be thought of as a 'psuedo-table'. It is not a real table but instead, a database object that stores a query. \n",
    "    + More or less, think of a `View` as a representation of your data and does not store anything unless you are using a `materialzed view`. \n",
    "    + Materialized views: are very fast lookups and often used in data-warehousing. \n",
    "\n",
    "+ The view, can be used for subsetting data, joining multiple tables, even granting permissions are an option. \n",
    "    \n",
    "+ **General Setup**:\n",
    "\n",
    "\n",
    "`CREATE OR REPLACE view_name \n",
    "AS \n",
    "your_query`\n",
    "\n",
    "OR\n",
    "\n",
    "`CREATE [ OR REPLACE ] [ TEMP | TEMPORARY ] VIEW name [ ( column_name [, ...] ) ]\n",
    "    [ WITH ( view_option_name [= view_option_value] [, ... ] ) ]\n",
    "    AS query`\n",
    "\n",
    "\n",
    "# When Would I Use a `View`?\n",
    "\n",
    "+ Consider if you are forming complex queries, running specific queries often or you may need to use those results for some other work you are doing. Then a `View` is a great option. \n",
    "\n",
    "+ Why: Because, you can call the VIEW directly, because it has already stored your complex query and you can do further queries or processing if needed. \n",
    "\n",
    "`----------------------------------------------------`"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# EX.1) Create View\n",
    "\n",
    "+ Your Supervisor wants you to create a new table showing first,last name with credit card number and the cpu with purchase date. \n",
    "    + You have 2 tables you need to put together (via `inner join`)\n",
    "+ You are accessing these data often and would benefit from creating a view."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "sql_view=\" CREATE VIEW customer_cpu_sales AS \\\n",
    "SELECT staging_fake_ppl.first_name || ' ' || staging_fake_ppl.last_name \\\n",
    "AS full_name, staging_fake_ppl.credit_card AS card,\\\n",
    "staging_fake_cpu_purchases.cpu,staging_fake_cpu_purchases.purchase_date \\\n",
    " FROM staging_fake_cpu_purchases INNER JOIN staging_fake_ppl ON \\\n",
    " staging_fake_ppl.credit_card=staging_fake_cpu_purchases.credit_card\"\n",
    "\n",
    "cur.execute(sql_view)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 277,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[('Nasreen Angel',\n",
       "  '1000-1293-3496-7245',\n",
       "  'AMD Ryzen 4 6221X',\n",
       "  datetime.date(2018, 5, 27)),\n",
       " ('Qirsten el-Azimi',\n",
       "  '1000-7698-8868-7669',\n",
       "  'Intel Core i5-2492K',\n",
       "  datetime.date(2020, 3, 9)),\n",
       " ('Alejandro Batchelor',\n",
       "  '1002-7633-3301-5737',\n",
       "  'Intel Core i2-7948K',\n",
       "  datetime.date(2017, 10, 16)),\n",
       " ('Gabriel Salazar',\n",
       "  '1003-1072-2532-5536',\n",
       "  'AMD Ryzen 5 5684X',\n",
       "  datetime.date(2020, 5, 23))]"
      ]
     },
     "execution_count": 277,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# QUERY OUR first VIEW:\n",
    "\n",
    "s=\"SELECT * FROM customer_cpu_sales LIMIT 4\"\n",
    "cur.execute(s)\n",
    "cur.fetchall()\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Update View: for example change the (name of our VIEW)\n",
    "\n",
    "\"ALTER VIEW customer_master RENAME TO customer_info\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Delete View:\n",
    "\n",
    "\"DROP VIEW thne_your_viewName\""
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Query and print days since purchase"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 71,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(datetime.timedelta(days=240),)"
      ]
     },
     "execution_count": 71,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sales_byDate=\"select date_trunc('day',now() - purchase_date::date) from customer_cpu_sales\"\n",
    "cur.execute(w)\n",
    "cur.fetchone()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Ex. 2) `View 02` Storing dates since Purchase\n",
    "\n",
    "+ Now, you are asked to store the days elapsed since purchase tracked from today"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 74,
   "metadata": {},
   "outputs": [],
   "source": [
    "\n",
    "cust_warr_view=\"CREATE VIEW customer_warranty AS SELECT *,\\\n",
    "date_trunc('day',now() - purchase_date::date) \\\n",
    "AS 'days_since_purchase' FROM ppl_cpu_purchases\"\n",
    "cur.execute(cust_warr_view)\n",
    "# cur.fetchall()\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 272,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[('5399-3484-4724-7187',\n",
       "  'gso@qiegan.sqe',\n",
       "  'Donyell Ann',\n",
       "  'Ospina',\n",
       "  '5219459148',\n",
       "  'Intel Core i1-7554K',\n",
       "  datetime.date(2019, 10, 31),\n",
       "  datetime.timedelta(days=241)),\n",
       " ('1630-5261-6108-7631',\n",
       "  'xnji@gfruaxqnvm.fha',\n",
       "  'Bishop',\n",
       "  'Siyed',\n",
       "  '4164254716',\n",
       "  'AMD Ryzen 1 5827X',\n",
       "  datetime.date(2017, 7, 16),\n",
       "  datetime.timedelta(days=1078))]"
      ]
     },
     "execution_count": 272,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sqq=\"select * from customer_warranty limit 2\"\n",
    "cur.execute(sqq)\n",
    "cur.fetchall()\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Date-Time Queries:\n",
    "\n",
    "+ Use `Extract function` with `CASE WHEN`\n",
    "\n",
    "* **Question**: Assume you have to track the age of your customer purchases for warranty information. `Imagine that you only have a warranty of (6 months: AKA 180 days)`."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 283,
   "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>credit_card</th>\n",
       "      <th>email</th>\n",
       "      <th>first_name</th>\n",
       "      <th>last_name</th>\n",
       "      <th>primary_phone</th>\n",
       "      <th>cpu</th>\n",
       "      <th>purchase_date</th>\n",
       "      <th>days_since_purchase</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>7536-4552-2504-7339</td>\n",
       "      <td>ybt@ehlczprdt.lbd</td>\n",
       "      <td>Everett</td>\n",
       "      <td>Vigil</td>\n",
       "      <td>9722173416</td>\n",
       "      <td>Intel Core i3-2155K</td>\n",
       "      <td>2020-03-07</td>\n",
       "      <td>113 days</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2487-1704-2828-6891</td>\n",
       "      <td>urszdy@iplejhf.dwl</td>\n",
       "      <td>Paige</td>\n",
       "      <td>Burton</td>\n",
       "      <td>2178936729</td>\n",
       "      <td>AMD Ryzen 4 2978X</td>\n",
       "      <td>2020-04-09</td>\n",
       "      <td>80 days</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>8464-3306-8207-9275</td>\n",
       "      <td>pvjderban@alfcbr.dax</td>\n",
       "      <td>Ann</td>\n",
       "      <td>Reish</td>\n",
       "      <td>5236872168</td>\n",
       "      <td>AMD Ryzen 4 5508X</td>\n",
       "      <td>2020-04-26</td>\n",
       "      <td>63 days</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "           credit_card                 email first_name last_name  \\\n",
       "0  7536-4552-2504-7339     ybt@ehlczprdt.lbd    Everett     Vigil   \n",
       "1  2487-1704-2828-6891    urszdy@iplejhf.dwl      Paige    Burton   \n",
       "2  8464-3306-8207-9275  pvjderban@alfcbr.dax        Ann     Reish   \n",
       "\n",
       "  primary_phone                  cpu purchase_date days_since_purchase  \n",
       "0    9722173416  Intel Core i3-2155K    2020-03-07            113 days  \n",
       "1    2178936729    AMD Ryzen 4 2978X    2020-04-09             80 days  \n",
       "2    5236872168    AMD Ryzen 4 5508X    2020-04-26             63 days  "
      ]
     },
     "execution_count": 283,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "xc=\"SELECT * FROM customer_warranty where extract(days from warranty) < 180 limit 3\"\n",
    "\n",
    "cur.execute(xc)\n",
    "# cur.fetchall()\n",
    "\n",
    "pd.DataFrame(cur.fetchall(),columns=['credit_card','email','first_name','last_name',\n",
    "'primary_phone', 'cpu','purchase_date','days_since_purchase'])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Not All Queries Go AS PLANNED:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 319,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[('5399-3484-4724-7187',\n",
       "  'gso@qiegan.sqe',\n",
       "  'Donyell Ann',\n",
       "  'Ospina',\n",
       "  '5219459148',\n",
       "  'Intel Core i1-7554K',\n",
       "  datetime.date(2019, 10, 31),\n",
       "  datetime.timedelta(days=241),\n",
       "  'Yes'),\n",
       " ('1630-5261-6108-7631',\n",
       "  'xnji@gfruaxqnvm.fha',\n",
       "  'Bishop',\n",
       "  'Siyed',\n",
       "  '4164254716',\n",
       "  'AMD Ryzen 1 5827X',\n",
       "  datetime.date(2017, 7, 16),\n",
       "  datetime.timedelta(days=1078),\n",
       "  'Yes'),\n",
       " ('4435-3866-1076-3595',\n",
       "  'dvyco@tkzhsop.zxg',\n",
       "  'Connor',\n",
       "  'Powers',\n",
       "  '3627413915',\n",
       "  'Intel Core i5-9457K',\n",
       "  datetime.date(2019, 3, 24),\n",
       "  datetime.timedelta(days=462),\n",
       "  'Yes'),\n",
       " ('3489-7099-9906-8660',\n",
       "  'fy@uvfhplatmz.cam',\n",
       "  'Kylie',\n",
       "  'Her',\n",
       "  '3562764561',\n",
       "  'AMD Ryzen 4 3401X',\n",
       "  datetime.date(2019, 6, 15),\n",
       "  datetime.timedelta(days=379),\n",
       "  'Yes'),\n",
       " ('8631-4500-5666-1510',\n",
       "  'rztkvliou@dkeinhgysf.deo',\n",
       "  'Anthony',\n",
       "  'Vo',\n",
       "  '7345795348',\n",
       "  'Intel Core i6-7283K',\n",
       "  datetime.date(2019, 11, 11),\n",
       "  datetime.timedelta(days=230),\n",
       "  'Yes'),\n",
       " ('1459-9918-1722-7369',\n",
       "  'jofmezlbp@iw.evx',\n",
       "  'Mutammam',\n",
       "  'Mares',\n",
       "  '3247247289',\n",
       "  'AMD Ryzen 8 9494X',\n",
       "  datetime.date(2017, 6, 19),\n",
       "  datetime.timedelta(days=1105),\n",
       "  'Yes'),\n",
       " ('6736-8932-8180-5826',\n",
       "  'ndwofyq@fujnmdw.tai',\n",
       "  'Austin',\n",
       "  'Sayavong',\n",
       "  '1363127632',\n",
       "  'Intel Core i3-2473K',\n",
       "  datetime.date(2018, 4, 12),\n",
       "  datetime.timedelta(days=808),\n",
       "  'Yes'),\n",
       " ('1270-8146-6857-9420',\n",
       "  'pdw@uwarlpyvgj.unh',\n",
       "  'Umaima',\n",
       "  'Begay',\n",
       "  '5129433167',\n",
       "  'AMD Ryzen 1 7620X',\n",
       "  datetime.date(2019, 5, 15),\n",
       "  datetime.timedelta(days=410),\n",
       "  'Yes'),\n",
       " ('5909-1054-2911-2100',\n",
       "  'nauvojf@tz.mjc',\n",
       "  'Justin',\n",
       "  'al-Yousif',\n",
       "  '9214512756',\n",
       "  'Intel Core i2-9833K',\n",
       "  datetime.date(2019, 6, 29),\n",
       "  datetime.timedelta(days=365),\n",
       "  'Yes'),\n",
       " ('6941-9738-3451-4231',\n",
       "  'horaniu@zahobw.ewc',\n",
       "  'Shaundra',\n",
       "  'Meehan',\n",
       "  '8636131763',\n",
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       "  'squwo@neoqi.qur',\n",
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       "  'oynpag@wa.yop',\n",
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       " ('7301-7234-8844-7418',\n",
       "  'hvalsb@fdnmcyqh.dnl',\n",
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       " ('3191-6013-1744-3588',\n",
       "  'nodiykujc@mailzwcp.nvl',\n",
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       " ('8729-6644-1036-9535',\n",
       "  'xgw@jcroshnufi.lfh',\n",
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       "  'Intel Core i2-2831K',\n",
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       " ('5270-2055-3136-7595',\n",
       "  'zeo@bfxtvijuzg.yug',\n",
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       " ('2053-5744-4578-9197',\n",
       "  'ectj@qhxlznsvuf.nlb',\n",
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       "  'Intel Core i8-9942K',\n",
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       " ('8896-1257-6276-1063',\n",
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       " ('3809-6745-2610-6263',\n",
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       " ('4272-6653-9811-4192',\n",
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       " ('2604-8302-6119-3664',\n",
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       " ('2432-5074-9422-2947',\n",
       "  'fijmoyvc@cmzfv.mbc',\n",
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       " ('7234-8904-8381-4154',\n",
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       "  'itunzmqp@q.zub',\n",
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       " ('9977-6665-6790-9118',\n",
       "  'fudyevgcrx@lsrxehqmn.rhv',\n",
       "  'Laquasea',\n",
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       " ('8105-9133-4352-3318',\n",
       "  'qhlu@lojaqtgyc.xhr',\n",
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       " ('4801-7454-2162-1850',\n",
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       " ('3094-8352-2644-2370',\n",
       "  'lpxsd@mzs.muo',\n",
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       "  'anzf@fzqiwhavor.zgk',\n",
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       " ('3178-9178-3478-5064',\n",
       "  'k@neaot.nsc',\n",
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       "  'gt@ofupyhdg.hpx',\n",
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       " ('5877-5345-4100-2873',\n",
       "  'bp@wid.qco',\n",
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       "  'Tutt',\n",
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       " ('6921-1083-1797-8702',\n",
       "  'xzgefkqlh@nhocyb.qwy',\n",
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       " ('3758-4837-8229-5538',\n",
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       " ('6540-7588-8788-8563',\n",
       "  'bjy@hcafqgby.gah',\n",
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       "  'wsm@iauemrnw.ayg',\n",
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       " ('9186-3808-5466-7453',\n",
       "  'gtnqmzyib@yrseczf.aew',\n",
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       " ('8809-5639-6902-2564',\n",
       "  'luvs@dw.utx',\n",
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       "  'onzjvsy@crw.trb',\n",
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       "  'vojktdpy@epnrivaq.oty',\n",
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       " ('4407-6167-5325-2238',\n",
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       "  'eqtlg@jct.gpv',\n",
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       " ('3190-3779-6889-9603',\n",
       "  'clft@vhriydnxpm.vyf',\n",
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       " ('7642-9342-1745-3044',\n",
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       " ('2869-8935-1273-3753',\n",
       "  'i@vmgskchpq.aor',\n",
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       " ('5424-1590-5401-3631',\n",
       "  'inkxrzq@fakds.ifb',\n",
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       "  'wn@fqjd.chf',\n",
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       " ('5348-8663-5336-8783',\n",
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       " ('9355-7704-7762-9380',\n",
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       " ('4894-3442-6381-6422',\n",
       "  'qjc@v.mwe',\n",
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       "  'Singleton',\n",
       "  '8954329237',\n",
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       "  'Yes'),\n",
       " ('7393-5844-4483-9562',\n",
       "  'ykn@wveuxsld.apc',\n",
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       "  'Intel Core i8-5756K',\n",
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       " ('5815-5714-1186-6737',\n",
       "  'b@wqb.oxc',\n",
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       " ('3388-9288-1720-9622',\n",
       "  'ysbe@ldajvymbqu.nga',\n",
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       " ('3692-6101-8243-2125',\n",
       "  'nfvr@xwig.maw',\n",
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       "  '6399419387',\n",
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       "  'Yes'),\n",
       " ('6340-6375-1827-2701',\n",
       "  'xrdylhu@s.nqc',\n",
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       "  datetime.date(2019, 3, 16),\n",
       "  datetime.timedelta(days=470),\n",
       "  'Yes'),\n",
       " ('7399-9899-7082-9167',\n",
       "  'bpyjeoaid@jfyp.dxn',\n",
       "  'Kameela',\n",
       "  'el-Mahfouz',\n",
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       "  'AMD Ryzen 7 1793X',\n",
       "  datetime.date(2019, 12, 30),\n",
       "  datetime.timedelta(days=181),\n",
       "  'Yes'),\n",
       " ('4519-8183-5798-2371',\n",
       "  'imjxtc@fehwup.ycl',\n",
       "  'Parth',\n",
       "  'Miller',\n",
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       "  'Intel Core i8-2387K',\n",
       "  datetime.date(2019, 2, 20),\n",
       "  datetime.timedelta(days=494),\n",
       "  'Yes'),\n",
       " ('9602-3153-3284-4947',\n",
       "  'yaxeph@ckbhwlxvm.ria',\n",
       "  'Angelica',\n",
       "  'Moore',\n",
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       "  'AMD Ryzen 3 5240X',\n",
       "  datetime.date(2019, 1, 10),\n",
       "  datetime.timedelta(days=535),\n",
       "  'Yes'),\n",
       " ('2377-5507-4417-7715',\n",
       "  'bcdsk@axymu.ojf',\n",
       "  'Jessica',\n",
       "  'Miller',\n",
       "  '2175815169',\n",
       "  'Intel Core i8-7428K',\n",
       "  datetime.date(2020, 3, 5),\n",
       "  datetime.timedelta(days=115),\n",
       "  'Yes'),\n",
       " ('8482-2967-9180-7397',\n",
       "  'wtyci@t.rkg',\n",
       "  'Luis',\n",
       "  'al-Rahimi',\n",
       "  '4726594289',\n",
       "  'AMD Ryzen 2 3998X',\n",
       "  datetime.date(2018, 4, 2),\n",
       "  datetime.timedelta(days=818),\n",
       "  'Yes'),\n",
       " ('7485-6663-3239-9789',\n",
       "  'tfanomvhwp@qlgkisoa.hto',\n",
       "  'Kenneth',\n",
       "  'Gordon',\n",
       "  '6936156132',\n",
       "  'Intel Core i2-1320K',\n",
       "  datetime.date(2017, 9, 13),\n",
       "  datetime.timedelta(days=1019),\n",
       "  'Yes'),\n",
       " ('4659-7597-5011-9583',\n",
       "  'w@jhma.mec',\n",
       "  'Tamesha',\n",
       "  'Montoya',\n",
       "  '8147866952',\n",
       "  'AMD Ryzen 5 7532X',\n",
       "  datetime.date(2019, 3, 15),\n",
       "  datetime.timedelta(days=471),\n",
       "  'Yes'),\n",
       " ('5969-1339-6191-2367',\n",
       "  'otlxiuyh@za.fbv',\n",
       "  'Elizabeth',\n",
       "  'al-Ozer',\n",
       "  '2656341782',\n",
       "  'Intel Core i5-8980K',\n",
       "  datetime.date(2017, 10, 12),\n",
       "  datetime.timedelta(days=990),\n",
       "  'Yes'),\n",
       " ('8978-1046-2556-3624',\n",
       "  'ohik@ti.mkc',\n",
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       "  'vjogurab@yptmbow.qbf',\n",
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       " ('9552-2478-7475-2480',\n",
       "  'xwri@unhgdbc.uaf',\n",
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       " ('3507-6916-5395-7217',\n",
       "  'apkfsvc@wmhno.xlt',\n",
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       " ('3684-2956-1853-7578',\n",
       "  'ctnbgk@nicetlobz.yxp',\n",
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       " ('2844-9375-2972-6674',\n",
       "  'gijm@olzqid.vzy',\n",
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       "  'qlozaj@ns.vxm',\n",
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       "  'ikd@kphs.jko',\n",
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       " ('9226-7377-2570-6980',\n",
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       "  'difo@lrsbwkq.nts',\n",
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       "  'nl@wjnkp.tsa',\n",
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       " ('9786-8998-4857-5757',\n",
       "  'locfywguq@muilvbw.qey',\n",
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       " ('9111-6431-4617-8511',\n",
       "  'easibku@wznjsrm.lcq',\n",
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       " ('2948-8505-3391-2567',\n",
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       "  'bp@fzt.fip',\n",
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       "  'doxikbjfv@hodsc.zuc',\n",
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       " ('7965-9734-8010-6043',\n",
       "  'u@zy.epu',\n",
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       "  'nzyct@nvwgoye.qna',\n",
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       " ('6083-8116-2552-3160',\n",
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       "  'Intel Core i8-6971K',\n",
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       " ('1889-2823-4146-3539',\n",
       "  'leyutosc@wgiex.wlv',\n",
       "  'Oyate',\n",
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       "  'AMD Ryzen 3 5383X',\n",
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       " ('2472-3722-6677-3884',\n",
       "  'bdyntvkgaw@l.jrc',\n",
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       " ('3507-2710-4244-1689',\n",
       "  'o@khsqpzu.vdu',\n",
       "  'Jennifer',\n",
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       "  datetime.date(2018, 8, 8),\n",
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       " ('4977-4193-4512-7261',\n",
       "  'gqzu@tguv.dfv',\n",
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       "  'Yes'),\n",
       " ('3303-2875-1606-1035',\n",
       "  'dps@bgpcz.nim',\n",
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       "  'Long',\n",
       "  '1287938437',\n",
       "  'AMD Ryzen 8 3875X',\n",
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       "  'Yes'),\n",
       " ('1764-4596-4677-9500',\n",
       "  'lzbsxy@zdio.rep',\n",
       "  'Dmytro',\n",
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       "  'Intel Core i8-1599K',\n",
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       "  datetime.timedelta(days=754),\n",
       "  'Yes'),\n",
       " ('1791-6776-3492-7011',\n",
       "  'qau@nhrbimqla.xrs',\n",
       "  'David',\n",
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       "  'AMD Ryzen 9 2256X',\n",
       "  datetime.date(2018, 2, 12),\n",
       "  datetime.timedelta(days=867),\n",
       "  'Yes'),\n",
       " ('6908-3969-5755-1830',\n",
       "  'wl@mhke.odq',\n",
       "  'Brenda',\n",
       "  'Pierce',\n",
       "  '6749645784',\n",
       "  'Intel Core i5-2754K',\n",
       "  datetime.date(2018, 9, 17),\n",
       "  datetime.timedelta(days=650),\n",
       "  'Yes'),\n",
       " ('5702-8034-6041-7407',\n",
       "  'wkybg@fsvpdrwl.bqa',\n",
       "  'Leshai',\n",
       "  'Green',\n",
       "  '5346753829',\n",
       "  'AMD Ryzen 1 1215X',\n",
       "  datetime.date(2017, 10, 22),\n",
       "  datetime.timedelta(days=980),\n",
       "  'Yes'),\n",
       " ('1417-8775-5710-3403',\n",
       "  'vfghwopdas@pvkdsmnqho.dxz',\n",
       "  'Kimberly',\n",
       "  'Nagamoto',\n",
       "  '1622457145',\n",
       "  'Intel Core i1-2229K',\n",
       "  datetime.date(2019, 10, 7),\n",
       "  datetime.timedelta(days=265),\n",
       "  'Yes'),\n",
       " ('4700-2983-4307-1783',\n",
       "  'xdr@mvlgn.vha',\n",
       "  'Johnson',\n",
       "  'Tran',\n",
       "  '4299157645',\n",
       "  'AMD Ryzen 1 9227X',\n",
       "  datetime.date(2017, 8, 17),\n",
       "  datetime.timedelta(days=1046),\n",
       "  'Yes'),\n",
       " ('3169-1112-3882-6106',\n",
       "  'wl@rpoxtai.nqt',\n",
       "  'Nathan',\n",
       "  'Culver',\n",
       "  '2485272894',\n",
       "  'Intel Core i5-7310K',\n",
       "  datetime.date(2018, 5, 3),\n",
       "  datetime.timedelta(days=787),\n",
       "  'Yes'),\n",
       " ('2716-8705-7674-5085',\n",
       "  'ekmpr@znbhuciaye.yxb',\n",
       "  'Aimee',\n",
       "  'Le Beau',\n",
       "  '1273767832',\n",
       "  'AMD Ryzen 3 1206X',\n",
       "  datetime.date(2019, 10, 29),\n",
       "  datetime.timedelta(days=243),\n",
       "  'Yes'),\n",
       " ('1132-5324-1696-8532',\n",
       "  'uvygjdwek@yrf.hdc',\n",
       "  'Geoffrey',\n",
       "  'Hillman',\n",
       "  '3414318615',\n",
       "  'Intel Core i5-4331K',\n",
       "  datetime.date(2017, 9, 18),\n",
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       "  'wofhs@vzsekup.kmp',\n",
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       "  'onaep@kwuhx.cpf',\n",
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       "  'fl@vfaqlbyucz.gbi',\n",
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       "  'voue@guwihj.dxi',\n",
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       " ('2753-7796-5351-3669',\n",
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       " ('2671-4124-1894-7766',\n",
       "  'oazp@r.gmh',\n",
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       " ('3207-6288-8958-7725',\n",
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       "  'mbfripxh@ljsocman.fvx',\n",
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       " ('9855-9134-7201-2426',\n",
       "  'bteqlvmo@rycvjwt.kgc',\n",
       "  'Tijhana',\n",
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       "  'sj@wuf.sfe',\n",
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       "  '7629645172',\n",
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       "  'ebqu@oxzvlyc.wxg',\n",
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       "  'fekchl@oiwdgsb.iba',\n",
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       "  'q@prmlovugk.vcw',\n",
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       "  'azbg@wijmyugk.wtg',\n",
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       " ('8962-9551-3834-9308',\n",
       "  'gczlyja@e.wlg',\n",
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       "  'krnwdlq@kdeo.tes',\n",
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       "  'mynqht@ztfmuk.cwj',\n",
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       " ('2517-8293-9434-1395',\n",
       "  'wmaubek@bkushwtxdq.qsi',\n",
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       "  'xqmkh@xelzoit.rsw',\n",
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       " ('9301-3926-9302-6851',\n",
       "  'xzhi@s.ema',\n",
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       "  'h@j.sco',\n",
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       "  'Intel Core i6-8487K',\n",
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       "  'ylzkci@d.vaz',\n",
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       "  '4324813142',\n",
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       " ('4176-6556-2513-4873',\n",
       "  'szcvotq@s.glm',\n",
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       " ('6816-6241-8712-9755',\n",
       "  'bqynxomv@d.cgh',\n",
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       " ('1022-8402-3171-2746',\n",
       "  'cuektovi@ibxah.dve',\n",
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       "  'onczeuwa@wkz.jbz',\n",
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       "  'peav@ijpnfvqdy.pmi',\n",
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       " ('8068-8005-7981-3199',\n",
       "  'ymtxlsbeq@hba.mva',\n",
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       "  'bfma@orql.ghk',\n",
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       "  'zfg@akxpyqmfde.ktm',\n",
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       " ('7373-8535-6274-4566',\n",
       "  'hbgvedwntz@iruta.zrf',\n",
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       " ('6235-3621-6406-8015',\n",
       "  'pyagnbc@wjmufapkz.ftb',\n",
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       "  'Yes'),\n",
       " ('1975-2939-2201-4296',\n",
       "  'cajyzgsox@sfeqpbgur.qwx',\n",
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       "  'Intel Core i5-7467K',\n",
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       " ('6204-1741-5335-4386',\n",
       "  'ejmnd@gyznabht.yqs',\n",
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       "  'Yes'),\n",
       " ('7275-8641-1463-4379',\n",
       "  'x@la.iku',\n",
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       "  'Yes'),\n",
       " ('4576-7362-6101-3027',\n",
       "  'ugax@wx.kdo',\n",
       "  'Haaritha',\n",
       "  'el-Azzam',\n",
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       "  'Yes'),\n",
       " ('1050-3631-9774-6711',\n",
       "  'efrwpz@nshr.nvg',\n",
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       "  'Intel Core i8-5525K',\n",
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       " ('4669-1039-2774-6713',\n",
       "  'cj@jpqzxryau.bgt',\n",
       "  'Muneeb',\n",
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       "  '3864291492',\n",
       "  'AMD Ryzen 6 7700X',\n",
       "  datetime.date(2019, 10, 12),\n",
       "  datetime.timedelta(days=260),\n",
       "  'Yes'),\n",
       " ('5733-9574-1630-2700',\n",
       "  'dvsiyhep@detg.cob',\n",
       "  'Damian',\n",
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       "  'Intel Core i1-8430K',\n",
       "  datetime.date(2019, 8, 1),\n",
       "  datetime.timedelta(days=332),\n",
       "  'Yes'),\n",
       " ('5570-7132-3205-4668',\n",
       "  'mcjht@snhmopeqba.hgl',\n",
       "  'Suemi',\n",
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       "  '9643252318',\n",
       "  'AMD Ryzen 9 5130X',\n",
       "  datetime.date(2019, 5, 9),\n",
       "  datetime.timedelta(days=416),\n",
       "  'Yes'),\n",
       " ('9871-1402-2651-4635',\n",
       "  'obmrglspji@puthgvdyez.gwc',\n",
       "  'Draven',\n",
       "  'Rovaris',\n",
       "  '9654165192',\n",
       "  'Intel Core i4-1510K',\n",
       "  datetime.date(2019, 1, 20),\n",
       "  datetime.timedelta(days=525),\n",
       "  'Yes'),\n",
       " ('8305-4674-7090-9986',\n",
       "  'm@vcsitp.eom',\n",
       "  'Norman',\n",
       "  'Abbott',\n",
       "  '1676282941',\n",
       "  'AMD Ryzen 4 5697X',\n",
       "  datetime.date(2018, 3, 24),\n",
       "  datetime.timedelta(days=827),\n",
       "  'Yes'),\n",
       " ('8560-2139-2399-8646',\n",
       "  'jymnxbuf@xhav.bfw',\n",
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       " ('5357-1069-5640-3225',\n",
       "  'gzncolj@ktsup.cai',\n",
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       " ('9369-2682-6732-2742',\n",
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       " ('6324-4871-1172-6849',\n",
       "  'vla@lwnrmbykd.mxn',\n",
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       " ('5946-8475-4909-7192',\n",
       "  'rbyfwls@qyro.snt',\n",
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       " ('1126-2042-5949-8153',\n",
       "  'jkeusd@vzgwcsnk.zbd',\n",
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       "  'Yes'),\n",
       " ('8897-7051-8064-1332',\n",
       "  'quljizyb@gaitru.wgo',\n",
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       "  'Intel Core i9-1121K',\n",
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       " ('1000-1293-3496-7245',\n",
       "  'ewjspbtrz@ay.qxb',\n",
       "  'Nasreen',\n",
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       "  datetime.timedelta(days=763),\n",
       "  'Yes'),\n",
       " ('9824-3503-2984-5090',\n",
       "  'sjl@jcfmre.pvc',\n",
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       "  'Intel Core i1-6407K',\n",
       "  datetime.date(2017, 11, 8),\n",
       "  datetime.timedelta(days=963),\n",
       "  'Yes'),\n",
       " ('7799-6613-1769-4264',\n",
       "  'w@jdfuvylw.tab',\n",
       "  'Logan',\n",
       "  'Felix-Vasquez',\n",
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       "  'AMD Ryzen 1 2875X',\n",
       "  datetime.date(2019, 3, 14),\n",
       "  datetime.timedelta(days=472),\n",
       "  'Yes'),\n",
       " ('9827-7699-4099-4731',\n",
       "  'egdtjpxhv@zsiwfpy.wnm',\n",
       "  'Sirajuddeen',\n",
       "  'Park',\n",
       "  '3125291864',\n",
       "  'Intel Core i4-6161K',\n",
       "  datetime.date(2020, 2, 13),\n",
       "  datetime.timedelta(days=136),\n",
       "  'Yes'),\n",
       " ('3308-8452-3418-1351',\n",
       "  'cay@r.dvj',\n",
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       "  'Mullett',\n",
       "  '9565879352',\n",
       "  'AMD Ryzen 5 2287X',\n",
       "  datetime.date(2018, 9, 21),\n",
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       " ('2940-3077-3261-7433',\n",
       "  'lraw@xjhzandpl.vaw',\n",
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       " ('4901-4969-3525-7403',\n",
       "  'vhkyae@qonpwhtgev.bme',\n",
       "  'Caleb',\n",
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       " ('1720-7956-8089-6424',\n",
       "  'ev@wgbq.bxk',\n",
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       "  'rj@knrdw.hlz',\n",
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       " ('4482-4379-5905-8338',\n",
       "  'u@zowk.mlv',\n",
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       " ('6769-7231-3134-8836',\n",
       "  'ecki@rpcmzkyb.ewy',\n",
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       " ('2917-9510-5903-8846',\n",
       "  'lrxcdnmk@eliwd.ntp',\n",
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       "  'Intel Core i3-8879K',\n",
       "  datetime.date(2019, 9, 8),\n",
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       "  'Yes'),\n",
       " ('8225-9333-7038-5267',\n",
       "  'atbdxn@elvdtu.rha',\n",
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       " ('3279-5777-9687-7218',\n",
       "  'itnso@bjnxdufh.jlc',\n",
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       " ('4239-9852-4563-5814',\n",
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       " ('6363-1583-3155-5503',\n",
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       " ('1098-5251-5865-7761',\n",
       "  'n@izjlqth.dgs',\n",
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       "  'fmr@twmdgfa.dva',\n",
       "  'Huraira',\n",
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       "  'Yes'),\n",
       " ('4766-3989-5135-5882',\n",
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       "  'Sun',\n",
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       "  'Intel Core i1-9479K',\n",
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       " ('8417-3078-9016-7925',\n",
       "  'e@vzed.kfd',\n",
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       "  'Yes'),\n",
       " ('4162-4731-7959-5028',\n",
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       "  'Yes'),\n",
       " ('2402-8682-4898-5023',\n",
       "  'ikwbnyv@sm.eic',\n",
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       " ('7644-8144-2116-1168',\n",
       "  'cyqjgw@jhszxe.ymh',\n",
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       " ('5096-5878-4278-1056',\n",
       "  'xsw@umvk.fny',\n",
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       " ('2386-1024-1536-4299',\n",
       "  'eqtks@aqnpezuf.fxr',\n",
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       "  'Yes'),\n",
       " ('6606-7026-5808-6185',\n",
       "  'gy@mq.vfb',\n",
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       "  'Intel Core i7-9705K',\n",
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       "  'Yes'),\n",
       " ('8692-9852-3353-3387',\n",
       "  'skform@tujfvxwep.ago',\n",
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       "  'AMD Ryzen 3 7213X',\n",
       "  datetime.date(2017, 10, 18),\n",
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       "  'Yes'),\n",
       " ('5255-1546-1772-5118',\n",
       "  'vtoeg@pvahzstj.zlg',\n",
       "  'Myles',\n",
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       "  'Intel Core i7-5275K',\n",
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       "  'Yes'),\n",
       " ('5913-6047-8950-6011',\n",
       "  'zlvtsj@qehgd.wep',\n",
       "  'David',\n",
       "  'el-Usman',\n",
       "  '4563278963',\n",
       "  'AMD Ryzen 1 2197X',\n",
       "  datetime.date(2019, 5, 14),\n",
       "  datetime.timedelta(days=411),\n",
       "  'Yes'),\n",
       " ('8557-1223-3061-9669',\n",
       "  'jcglu@updabwfqn.opi',\n",
       "  'Ghaaliya',\n",
       "  'el-Yassin',\n",
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       "  'Intel Core i7-2279K',\n",
       "  datetime.date(2018, 2, 1),\n",
       "  datetime.timedelta(days=878),\n",
       "  'Yes'),\n",
       " ('8097-6717-4786-6631',\n",
       "  'ywqud@c.psk',\n",
       "  'Nicholas',\n",
       "  'Yi',\n",
       "  '9585949764',\n",
       "  'AMD Ryzen 1 3964X',\n",
       "  datetime.date(2017, 9, 18),\n",
       "  datetime.timedelta(days=1014),\n",
       "  'Yes'),\n",
       " ('8838-8360-4411-7113',\n",
       "  'n@uisagwercn.fpa',\n",
       "  'Tanner',\n",
       "  'Clark',\n",
       "  '5721654625',\n",
       "  'Intel Core i2-9219K',\n",
       "  datetime.date(2019, 1, 5),\n",
       "  datetime.timedelta(days=540),\n",
       "  'Yes'),\n",
       " ('3904-5695-4178-6537',\n",
       "  'hrkniuwm@hry.mai',\n",
       "  'Brittni',\n",
       "  'Creel',\n",
       "  '3498536251',\n",
       "  'AMD Ryzen 7 7708X',\n",
       "  datetime.date(2019, 8, 30),\n",
       "  datetime.timedelta(days=303),\n",
       "  'Yes'),\n",
       " ('9771-3632-3980-8669',\n",
       "  'tdwp@q.one',\n",
       "  'Alexis',\n",
       "  'al-Baig',\n",
       "  '7358344968',\n",
       "  'Intel Core i1-8280K',\n",
       "  datetime.date(2017, 9, 28),\n",
       "  datetime.timedelta(days=1004),\n",
       "  'Yes'),\n",
       " ('2846-4571-5487-4259',\n",
       "  'fsryp@owif.kcs',\n",
       "  'Mische',\n",
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       " ('5378-7511-5246-9612',\n",
       "  'utejwl@fwuhciq.bas',\n",
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       " ('1760-7927-7896-1646',\n",
       "  'oyetmbfnw@h.cqu',\n",
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       "  'mrqgvn@kjlpov.aso',\n",
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       " ('7984-8393-2940-4423',\n",
       "  'iuakmqjnph@ay.lrq',\n",
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       "  'Intel Core i5-8102K',\n",
       "  datetime.date(2019, 12, 20),\n",
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       "  'Yes'),\n",
       " ('9063-8367-5754-3884',\n",
       "  'bsdqcarv@vlohudn.tad',\n",
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       "  'AMD Ryzen 4 5383X',\n",
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       "  'Yes'),\n",
       " ('6074-5963-8865-9729',\n",
       "  'dehoqayz@m.scb',\n",
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       "  'Intel Core i2-5541K',\n",
       "  datetime.date(2019, 8, 29),\n",
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       "  'Yes'),\n",
       " ('3922-9305-3624-3245',\n",
       "  'dygqwsu@domantezv.cdb',\n",
       "  'Abdul Azeez',\n",
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       "  'Yes'),\n",
       " ('4492-7466-8460-2379',\n",
       "  't@tqpzfe.ilk',\n",
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       "  '7843759754',\n",
       "  'Intel Core i6-6454K',\n",
       "  datetime.date(2019, 9, 15),\n",
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       "  'Yes'),\n",
       " ('8291-7495-1816-6511',\n",
       "  'sot@ymx.ovg',\n",
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       "  'AMD Ryzen 7 8992X',\n",
       "  datetime.date(2019, 10, 21),\n",
       "  datetime.timedelta(days=251),\n",
       "  'Yes'),\n",
       " ('6046-4991-1266-6613',\n",
       "  'tdpgxsncwk@g.odn',\n",
       "  'Giselle',\n",
       "  'al-Azimi',\n",
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       "  'Intel Core i9-8990K',\n",
       "  datetime.date(2017, 7, 16),\n",
       "  datetime.timedelta(days=1078),\n",
       "  'Yes'),\n",
       " ('2657-3213-4812-3345',\n",
       "  'da@uqchmkwtds.cyf',\n",
       "  'Desirae',\n",
       "  'Reaves',\n",
       "  '6195692594',\n",
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       "  datetime.date(2017, 8, 25),\n",
       "  datetime.timedelta(days=1038),\n",
       "  'Yes'),\n",
       " ('5666-2678-9927-6367',\n",
       "  'ktdcnlsuo@hdlbvqg.lae',\n",
       "  'Mindy',\n",
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       "  'Intel Core i9-9280K',\n",
       "  datetime.date(2018, 2, 6),\n",
       "  datetime.timedelta(days=873),\n",
       "  'Yes'),\n",
       " ('2136-5203-8961-1291',\n",
       "  'vedzu@cjrm.wlh',\n",
       "  'Miranda',\n",
       "  'Hunt',\n",
       "  '8316246815',\n",
       "  'AMD Ryzen 3 3924X',\n",
       "  datetime.date(2019, 3, 10),\n",
       "  datetime.timedelta(days=476),\n",
       "  'Yes'),\n",
       " ('1351-2444-8755-3719',\n",
       "  'lkxs@mih.gln',\n",
       "  'Brendon',\n",
       "  'Brown',\n",
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       "  'his@yeiv.gie',\n",
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       "  'edrxiamt@m.srt',\n",
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       "  'nyckpj@ycjdwi.fwe',\n",
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       "  'rlwkvf@ucredpahb.pil',\n",
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       " ('1522-4408-1295-2393',\n",
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       " ('5849-2433-8306-9888',\n",
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       "  'kxso@baq.umy',\n",
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       " ('6297-9877-5898-2551',\n",
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       " ('9947-3087-7174-6358',\n",
       "  'agoq@wkmrsh.mhg',\n",
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       " ('2161-8935-4324-3750',\n",
       "  'ignwsc@sigd.wbq',\n",
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       " ('6960-8429-1579-5541',\n",
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       "  'Yes'),\n",
       " ('6253-9452-7651-8296',\n",
       "  'uzsolvtmbg@cabqf.cwm',\n",
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       "  'Intel Core i6-3385K',\n",
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       "  'Yes'),\n",
       " ('1798-2501-1143-3132',\n",
       "  'nvidgh@e.wgp',\n",
       "  'Theophus',\n",
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       "  'Yes'),\n",
       " ('3335-6913-7000-2927',\n",
       "  'c@grmviywej.rbm',\n",
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       "  'Intel Core i7-8956K',\n",
       "  datetime.date(2017, 9, 12),\n",
       "  datetime.timedelta(days=1020),\n",
       "  'Yes'),\n",
       " ('5539-1756-2145-7006',\n",
       "  'qoc@aiq.yna',\n",
       "  'Karen',\n",
       "  'Harness',\n",
       "  '6193167486',\n",
       "  'AMD Ryzen 4 7209X',\n",
       "  datetime.date(2018, 1, 27),\n",
       "  datetime.timedelta(days=883),\n",
       "  'Yes'),\n",
       " ('2161-1194-1524-2692',\n",
       "  'qhzixkm@yfueickd.bjm',\n",
       "  'Larissa',\n",
       "  'al-Amara',\n",
       "  '2149452348',\n",
       "  'Intel Core i1-7904K',\n",
       "  datetime.date(2019, 11, 15),\n",
       "  datetime.timedelta(days=226),\n",
       "  'Yes'),\n",
       " ('9941-4462-9591-3605',\n",
       "  'hxonlb@vh.ljy',\n",
       "  'Brooklynn',\n",
       "  'Oyama',\n",
       "  '7368593589',\n",
       "  'AMD Ryzen 2 2212X',\n",
       "  datetime.date(2018, 3, 19),\n",
       "  datetime.timedelta(days=832),\n",
       "  'Yes'),\n",
       " ('3102-4272-6424-8127',\n",
       "  'ie@vacyedpi.hnr',\n",
       "  'Shympia',\n",
       "  'Johnson',\n",
       "  '6571521247',\n",
       "  'Intel Core i3-4771K',\n",
       "  datetime.date(2019, 9, 27),\n",
       "  datetime.timedelta(days=275),\n",
       "  'Yes'),\n",
       " ('2594-8136-2518-5492',\n",
       "  'fleo@qxelvuca.zsd',\n",
       "  'Jordan',\n",
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       "  'AMD Ryzen 4 8579X',\n",
       "  datetime.date(2018, 10, 8),\n",
       "  datetime.timedelta(days=629),\n",
       "  'Yes'),\n",
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       "  'mqardcslb@uwjt.myp',\n",
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       " ('5179-2640-9061-4434',\n",
       "  'jevkulq@adjrbzn.lag',\n",
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       "  'yldutecn@xf.lkx',\n",
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       "  'qsztfhierp@u.kno',\n",
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       "  'Yes'),\n",
       " ('9090-8756-3126-9717',\n",
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       "  'Jaydon',\n",
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       "  datetime.timedelta(days=1006),\n",
       "  'Yes'),\n",
       " ('8521-1410-9909-3134',\n",
       "  'ltodm@mxoc.aik',\n",
       "  \"Mu'hsina\",\n",
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       "  'Intel Core i6-4337K',\n",
       "  datetime.date(2019, 1, 28),\n",
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       " ('6192-4667-4124-8778',\n",
       "  'woefqdgtmv@pqmxzscfg.svu',\n",
       "  'Theophilus',\n",
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       " ('6639-7906-2887-1072',\n",
       "  'wiaq@bfiph.kmy',\n",
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       " ('7483-8800-3650-1288',\n",
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       " ('8283-2567-4008-3125',\n",
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       " ('7322-9528-4093-4494',\n",
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       "  datetime.timedelta(days=412),\n",
       "  'Yes'),\n",
       " ('7257-7564-1658-7653',\n",
       "  'cfw@hktsmilx.rbs',\n",
       "  'Faarooq',\n",
       "  'Zavala',\n",
       "  '7139787524',\n",
       "  'AMD Ryzen 9 5338X',\n",
       "  datetime.date(2017, 9, 6),\n",
       "  datetime.timedelta(days=1026),\n",
       "  'Yes'),\n",
       " ('5549-1285-7219-1713',\n",
       "  'ev@abfguki.dzu',\n",
       "  'Safar',\n",
       "  'Manley',\n",
       "  '7987532437',\n",
       "  'Intel Core i9-5914K',\n",
       "  datetime.date(2018, 2, 17),\n",
       "  datetime.timedelta(days=862),\n",
       "  'Yes'),\n",
       " ('3130-1679-5583-9203',\n",
       "  'xh@euywohgm.sga',\n",
       "  'Jeffrey',\n",
       "  'Kasvin',\n",
       "  '2692687469',\n",
       "  'AMD Ryzen 9 3643X',\n",
       "  datetime.date(2017, 9, 25),\n",
       "  datetime.timedelta(days=1007),\n",
       "  'Yes'),\n",
       " ('2096-1481-8746-9366',\n",
       "  'btlf@m.phi',\n",
       "  'Tin',\n",
       "  'Courkamp',\n",
       "  '7649319215',\n",
       "  'Intel Core i1-6967K',\n",
       "  datetime.date(2018, 11, 10),\n",
       "  datetime.timedelta(days=596),\n",
       "  'Yes'),\n",
       " ('8253-9665-4158-3850',\n",
       "  'gaqkfewnd@yiowlshtc.ohj',\n",
       "  'Brittany',\n",
       "  'Gloyd',\n",
       "  '3258464139',\n",
       "  'AMD Ryzen 7 6356X',\n",
       "  datetime.date(2020, 2, 28),\n",
       "  datetime.timedelta(days=121),\n",
       "  'Yes'),\n",
       " ('1035-8988-8315-5669',\n",
       "  'bsqx@qknxlhdofi.kci',\n",
       "  'Najlaa',\n",
       "  'Demeke',\n",
       "  '3454363576',\n",
       "  'Intel Core i3-6882K',\n",
       "  datetime.date(2020, 3, 11),\n",
       "  datetime.timedelta(days=109),\n",
       "  'Yes'),\n",
       " ('5600-9944-4369-5928',\n",
       "  'xv@zligcje.cme',\n",
       "  'Ashlee',\n",
       "  'Percell',\n",
       "  '6126185937',\n",
       "  'AMD Ryzen 7 9757X',\n",
       "  datetime.date(2018, 7, 19),\n",
       "  datetime.timedelta(days=710),\n",
       "  'Yes'),\n",
       " ('5939-9860-9104-3986',\n",
       "  'ebzmxdyq@vuzfdcrlb.lmb',\n",
       "  'Brooke',\n",
       "  'Landy',\n",
       "  '7347833297',\n",
       "  'Intel Core i2-1526K',\n",
       "  datetime.date(2018, 1, 21),\n",
       "  datetime.timedelta(days=889),\n",
       "  'Yes'),\n",
       " ('6206-1279-1941-6051',\n",
       "  'fhsdqguti@gphqk.res',\n",
       "  'Uqbah',\n",
       "  'Martinez-Delariva',\n",
       "  '5979756247',\n",
       "  'AMD Ryzen 6 7355X',\n",
       "  datetime.date(2020, 2, 13),\n",
       "  datetime.timedelta(days=136),\n",
       "  'Yes'),\n",
       " ('5596-4771-5491-2474',\n",
       "  'jao@mfwdkceju.opq',\n",
       "  'Anastacio',\n",
       "  'el-Shaer',\n",
       "  '2471782548',\n",
       "  'Intel Core i4-5937K',\n",
       "  datetime.date(2017, 8, 23),\n",
       "  datetime.timedelta(days=1040),\n",
       "  'Yes'),\n",
       " ('4817-7846-5490-6807',\n",
       "  'qu@tjlwhqdxrg.oaj',\n",
       "  'Daniel',\n",
       "  'Sosenginh',\n",
       "  '2742379587',\n",
       "  'AMD Ryzen 4 2547X',\n",
       "  datetime.date(2019, 4, 13),\n",
       "  datetime.timedelta(days=442),\n",
       "  'Yes'),\n",
       " ('9747-7744-4416-5604',\n",
       "  'yrsquvg@ixda.zci',\n",
       "  'Thanaa',\n",
       "  'el-Salloum',\n",
       "  '3878274813',\n",
       "  'Intel Core i1-3101K',\n",
       "  datetime.date(2020, 5, 23),\n",
       "  datetime.timedelta(days=36),\n",
       "  'Yes'),\n",
       " ('4708-4043-9038-6226',\n",
       "  'enzprlshy@cblpdzhnf.xik',\n",
       "  'Bryce',\n",
       "  'Quinton',\n",
       "  '3187135841',\n",
       "  'AMD Ryzen 6 1533X',\n",
       "  datetime.date(2019, 8, 12),\n",
       "  datetime.timedelta(days=321),\n",
       "  'Yes'),\n",
       " ('2044-2080-4833-8402',\n",
       "  'b@hrg.dpq',\n",
       "  'Ashlyn',\n",
       "  'Castro',\n",
       "  '1722193597',\n",
       "  'Intel Core i1-4906K',\n",
       "  datetime.date(2017, 7, 30),\n",
       "  datetime.timedelta(days=1064),\n",
       "  'Yes'),\n",
       " ('3319-7437-8135-1940',\n",
       "  'fgu@xfcsq.wac',\n",
       "  'Adham',\n",
       "  'Mosley',\n",
       "  '4732876158',\n",
       "  'AMD Ryzen 1 1702X',\n",
       "  datetime.date(2020, 3, 16),\n",
       "  datetime.timedelta(days=104),\n",
       "  'Yes'),\n",
       " ('1934-4451-1238-2238',\n",
       "  'cvgwq@nxzksorcql.adi',\n",
       "  'Dacia',\n",
       "  'Rodriguez',\n",
       "  '3741979563',\n",
       "  'Intel Core i4-7344K',\n",
       "  datetime.date(2017, 8, 18),\n",
       "  datetime.timedelta(days=1045),\n",
       "  'Yes'),\n",
       " ('1244-3815-5186-4227',\n",
       "  'vxhlcmqsiz@gxmrp.ghw',\n",
       "  'Erin',\n",
       "  'Mortel',\n",
       "  '6873461248',\n",
       "  'AMD Ryzen 3 9474X',\n",
       "  datetime.date(2017, 7, 17),\n",
       "  datetime.timedelta(days=1077),\n",
       "  'Yes'),\n",
       " ('6191-5270-5274-5262',\n",
       "  'qu@ofmklact.sor',\n",
       "  'Anddi',\n",
       "  'Johnson',\n",
       "  '8461688574',\n",
       "  'Intel Core i1-9857K',\n",
       "  datetime.date(2019, 4, 6),\n",
       "  datetime.timedelta(days=449),\n",
       "  'Yes'),\n",
       " ('3677-7436-9606-5836',\n",
       "  'aedwglh@hmqfl.lxd',\n",
       "  \"De'Moni\",\n",
       "  'al-Rad',\n",
       "  '4319249876',\n",
       "  'AMD Ryzen 9 4671X',\n",
       "  datetime.date(2019, 8, 29),\n",
       "  datetime.timedelta(days=304),\n",
       "  'Yes'),\n",
       " ('9694-4357-5023-8714',\n",
       "  'harbgisc@uoqrdiefs.qls',\n",
       "  'Jubair',\n",
       "  'al-Shaker',\n",
       "  '4163481623',\n",
       "  'Intel Core i8-1898K',\n",
       "  datetime.date(2019, 2, 23),\n",
       "  datetime.timedelta(days=491),\n",
       "  'Yes'),\n",
       " ('5545-1670-7124-3464',\n",
       "  'tv@bo.sdl',\n",
       "  'Warren',\n",
       "  'Kitsmiller',\n",
       "  '7611421974',\n",
       "  'AMD Ryzen 2 6341X',\n",
       "  datetime.date(2019, 9, 28),\n",
       "  datetime.timedelta(days=274),\n",
       "  'Yes'),\n",
       " ('3513-7827-5155-4138',\n",
       "  'zxcfrsgi@wo.qbi',\n",
       "  'Cerake',\n",
       "  'al-Azimi',\n",
       "  '9488246217',\n",
       "  'Intel Core i9-2864K',\n",
       "  datetime.date(2019, 9, 5),\n",
       "  datetime.timedelta(days=297),\n",
       "  'Yes'),\n",
       " ('9625-6437-8757-7563',\n",
       "  'rizg@ezfkowlim.kjw',\n",
       "  'Taylor',\n",
       "  'George',\n",
       "  '8737621562',\n",
       "  'AMD Ryzen 4 3926X',\n",
       "  datetime.date(2018, 9, 21),\n",
       "  datetime.timedelta(days=646),\n",
       "  'Yes'),\n",
       " ('1229-1164-3381-6939',\n",
       "  'e@qmbijav.ynk',\n",
       "  'Luis',\n",
       "  'Digby',\n",
       "  '2767493276',\n",
       "  'Intel Core i6-6557K',\n",
       "  datetime.date(2019, 12, 17),\n",
       "  datetime.timedelta(days=194),\n",
       "  'Yes'),\n",
       " ('1874-3085-4726-6955',\n",
       "  'ztrwvc@dkj.hlo',\n",
       "  'Franco',\n",
       "  'Crowghost',\n",
       "  '7653568172',\n",
       "  'AMD Ryzen 8 4804X',\n",
       "  datetime.date(2019, 11, 9),\n",
       "  datetime.timedelta(days=232),\n",
       "  'Yes'),\n",
       " ('3059-6633-6813-1650',\n",
       "  'lk@qijgdsuo.djt',\n",
       "  'Valeria',\n",
       "  'Isom',\n",
       "  '8758652458',\n",
       "  'Intel Core i4-6743K',\n",
       "  datetime.date(2020, 4, 19),\n",
       "  datetime.timedelta(days=70),\n",
       "  'Yes'),\n",
       " ('6074-1396-6465-2504',\n",
       "  'hawpl@kvmorl.zju',\n",
       "  'Mawdood',\n",
       "  'Bell',\n",
       "  '2965177485',\n",
       "  'AMD Ryzen 7 5866X',\n",
       "  datetime.date(2018, 12, 8),\n",
       "  datetime.timedelta(days=568),\n",
       "  'Yes'),\n",
       " ('6632-3994-4370-4929',\n",
       "  'kemaxlgis@rco.dcb',\n",
       "  'Cinoi',\n",
       "  'Deere',\n",
       "  '2956973759',\n",
       "  'Intel Core i5-7109K',\n",
       "  datetime.date(2018, 8, 23),\n",
       "  datetime.timedelta(days=675),\n",
       "  'Yes'),\n",
       " ('6979-3347-2306-2597',\n",
       "  'l@kfxhrevs.iwv',\n",
       "  'Gabrielle',\n",
       "  'el-Moghaddam',\n",
       "  '7657247634',\n",
       "  'AMD Ryzen 6 3381X',\n",
       "  datetime.date(2019, 12, 2),\n",
       "  datetime.timedelta(days=209),\n",
       "  'Yes'),\n",
       " ('3044-9748-5855-7834',\n",
       "  'onptasmdzu@ytagvbe.hcu',\n",
       "  'Vchuefeu',\n",
       "  'Fimbres',\n",
       "  '8413294192',\n",
       "  'Intel Core i2-4307K',\n",
       "  datetime.date(2017, 12, 23),\n",
       "  datetime.timedelta(days=918),\n",
       "  'Yes'),\n",
       " ('4007-4380-8312-2954',\n",
       "  'hamxgirl@s.lrh',\n",
       "  'Melinda',\n",
       "  'Estala',\n",
       "  '4859858325',\n",
       "  'AMD Ryzen 5 5294X',\n",
       "  datetime.date(2019, 5, 18),\n",
       "  datetime.timedelta(days=407),\n",
       "  'Yes'),\n",
       " ('5597-4259-9929-3289',\n",
       "  'xudgo@uzs.hcj',\n",
       "  'Raul',\n",
       "  'Ho',\n",
       "  '8797539578',\n",
       "  'Intel Core i2-1606K',\n",
       "  datetime.date(2018, 10, 25),\n",
       "  datetime.timedelta(days=612),\n",
       "  'Yes'),\n",
       " ('7685-4964-5816-1264',\n",
       "  'h@jxowuqnve.cqv',\n",
       "  'Gaochazhong',\n",
       "  'el-Khalaf',\n",
       "  '9261738923',\n",
       "  'AMD Ryzen 5 8463X',\n",
       "  datetime.date(2018, 12, 2),\n",
       "  datetime.timedelta(days=574),\n",
       "  'Yes'),\n",
       " ('8530-9720-1223-6842',\n",
       "  'fatlqojgnp@ldkabmf.xch',\n",
       "  'Connor',\n",
       "  'Castillo',\n",
       "  '3247898419',\n",
       "  'Intel Core i6-4353K',\n",
       "  datetime.date(2017, 9, 12),\n",
       "  datetime.timedelta(days=1020),\n",
       "  'Yes'),\n",
       " ('7789-3655-8547-2536',\n",
       "  'b@zqrjtm.jbk',\n",
       "  'Kiesha',\n",
       "  'Ward',\n",
       "  '1481234158',\n",
       "  'AMD Ryzen 1 7426X',\n",
       "  datetime.date(2018, 7, 5),\n",
       "  datetime.timedelta(days=724),\n",
       "  'Yes'),\n",
       " ('7272-5144-9722-9412',\n",
       "  'x@egpuadontc.fjb',\n",
       "  'Gregory',\n",
       "  'Pope',\n",
       "  '7417188231',\n",
       "  'Intel Core i1-6126K',\n",
       "  datetime.date(2020, 5, 26),\n",
       "  datetime.timedelta(days=33),\n",
       "  'Yes'),\n",
       " ('4933-7519-7908-5270',\n",
       "  'txbfals@oytharejlp.xsw',\n",
       "  'Jacob',\n",
       "  'Tran',\n",
       "  '1877622197',\n",
       "  'AMD Ryzen 4 3947X',\n",
       "  datetime.date(2018, 8, 24),\n",
       "  datetime.timedelta(days=674),\n",
       "  'Yes'),\n",
       " ('8333-9128-2573-1197',\n",
       "  'jsnckvhf@wkhteq.vsc',\n",
       "  'Raabiya',\n",
       "  'Ricks',\n",
       "  '6235949562',\n",
       "  'Intel Core i4-7406K',\n",
       "  datetime.date(2020, 3, 5),\n",
       "  datetime.timedelta(days=115),\n",
       "  'Yes'),\n",
       " ('6360-5652-6444-3852',\n",
       "  'rnmefsp@suviaqog.tnq',\n",
       "  'Adrian',\n",
       "  'Swearnger',\n",
       "  '6957385781',\n",
       "  'AMD Ryzen 8 6660X',\n",
       "  datetime.date(2018, 11, 19),\n",
       "  datetime.timedelta(days=587),\n",
       "  'Yes'),\n",
       " ...]"
      ]
     },
     "execution_count": 319,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dates_n_warr=\"SELECT *,\\\n",
    "date_trunc('day',now() - purchase_date::date) \\\n",
    "AS days_since_purchase, \\\n",
    "CASE WHEN extract(day from purchase_date::date) < 180 \\\n",
    "THEN 'Yes' ELSE 'No' END AS warranty FROM ppl_cpu_purchases\"\n",
    "\n",
    "cur.execute(dates_n_warr)\n",
    "cur.fetchall()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 264,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[('PostgreSQL 12.2 on x86_64-apple-darwin17.7.0, compiled by Apple LLVM version 10.0.0 (clang-1000.11.45.5), 64-bit',)]"
      ]
     },
     "execution_count": 264,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# cur.execute(\"select * from ppl_cpu_purchases extract(day from purchase_date::date) < 180 limit 3\")\n",
    "\n",
    "cur.execute('select version()')\n",
    "cur.fetchall()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Create Query:\n",
    "+ **By Date Range (Month & Year) of CPU's Sold**\n",
    "\n",
    "*Assume you had to find the monthly sales of cpu*"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 316,
   "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>Month_yr</th>\n",
       "      <th>Items Sold</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2020-05-01</td>\n",
       "      <td>163</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2020-04-01</td>\n",
       "      <td>152</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2020-03-01</td>\n",
       "      <td>150</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2020-02-01</td>\n",
       "      <td>157</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2020-01-01</td>\n",
       "      <td>139</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>2019-12-01</td>\n",
       "      <td>185</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>2019-11-01</td>\n",
       "      <td>152</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     Month_yr  Items Sold\n",
       "0  2020-05-01         163\n",
       "1  2020-04-01         152\n",
       "2  2020-03-01         150\n",
       "3  2020-02-01         157\n",
       "4  2020-01-01         139\n",
       "5  2019-12-01         185\n",
       "6  2019-11-01         152"
      ]
     },
     "execution_count": 316,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "\n",
    "cpu_g=\"SELECT pg_catalog.date(date_trunc('month',purchase_date)) AS txn_month, \\\n",
    "count(cpu) as monthly_sum \\\n",
    "FROM ppl_cpu_purchases GROUP BY txn_month ORDER BY txn_month DESC\"\n",
    "\n",
    "cur.execute(cpu_g)\n",
    "pd.DataFrame(cur.fetchall(),columns=['Month_yr','Items Sold']).head(7)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# THROW a <font color=red>Like</font>\n",
    "# <font color=red>SUBscribe</font> & Turn ON Notification 🔔 Bell "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Citations & Help:\n",
    "\n",
    "https://www.tutorialspoint.com/postgresql/postgresql_views.htm\n",
    "\n",
    "https://www.postgresqltutorial.com/managing-postgresql-views/\n",
    "\n",
    "https://www.datacamp.com/community/tutorials/materialized-views-postgresql\n",
    "\n",
    "https://www.tutorialspoint.com/postgresql/postgresql_date_time.htm\n",
    "\n",
    "https://stackoverflow.com/questions/45487731/postgres-get-number-of-days-since-date\n",
    "\n",
    "https://www.sqlservertutorial.net/sql-server-date-functions/sql-server-datediff-function/\n",
    "\n",
    "https://www.plus2net.com/sql_tutorial/date-lastweek.php\n",
    "\n",
    "https://www.postgresqltutorial.com/postgresql-case/\n",
    "\n",
    "https://stackoverflow.com/questions/17492167/group-query-results-by-month-and-year-in-postgresql\n",
    "\n",
    "https://stackoverflow.com/questions/6133107/extract-date-yyyy-mm-dd-from-a-timestamp-in-postgresql\n",
    "\n",
    "https://w3resource.com/PostgreSQL/pl-pgsql-control-structures.php"
   ]
  }
 ],
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