├── Python
    ├── Stella.py
    ├── Web Scrapping
    │   └── CME.py
    ├── calculator.py
    └── house-Price-Prediction
    │   ├── README.md
    │   ├── data_description.txt
    │   ├── dataset.csv
    │   ├── finalized_model.pkl
    │   ├── formulatedtest.csv
    │   ├── house-prediction-test-data.ipynb
    │   ├── house-price-prediction.ipynb
    │   ├── house_pred_deployment.py
    │   ├── requirements.txt
    │   ├── sample_submission.csv
    │   ├── submission.csv
    │   ├── test.csv
    │   └── train.csv
├── README.md
└── crud-typescript
    ├── .gitignore
    ├── package-lock.json
    ├── package.json
    ├── public
        └── app.js
    ├── src
        ├── app.ts
        ├── config
        │   └── config.ts
        ├── models
        │   └── todo.model.ts
        ├── routes
        │   └── routes.ts
        └── views
        │   ├── edit.ejs
        │   ├── landing.ejs
        │   ├── new.ejs
        │   └── show.ejs
    └── tsconfig.json


/Python/Stella.py:
--------------------------------------------------------------------------------
  1 | import pyttsx3
  2 | import speech_recognition as sr
  3 | import datetime
  4 | import wikipedia
  5 | import webbrowser as wb
  6 | import os
  7 | import smtplib
  8 | import requests
  9 | from pprint import pprint
 10 | from selenium import webdriver
 11 | 
 12 | print("<<<<<LV INDUSTRIES PVT. LTD.>>>>>")
 13 | engine = pyttsx3.init('sapi5')
 14 | voices = engine.getProperty('voices')
 15 | #print(voices[1].id)
 16 | engine.setProperty('voice',voices[0].id)
 17 | 
 18 | def speak(audio):
 19 |     engine.say(audio)
 20 |     engine.runAndWait()
 21 | 
 22 | 
 23 | def wishMe():
 24 |     speak("<<<<<LV INDUSTRIES >>>>>")
 25 |     speak("system online, loading modules")
 26 |     print("  ")
 27 |     print(" +----------------------------------------+")
 28 |     print("  |                   #####                                                  |")
 29 |     print("  |                #####                                                     |")
 30 |     print("  |               #####                                                      |")
 31 |     print("  |             #####                                                        |")
 32 |     print("  |           #####                                                          |")
 33 |     print("  |         #####                                                            |")
 34 |     print("  |        #####          ####                                        |")
 35 |     print("  |      #####            ####                                        |")
 36 |     print("  |   ###########################       |")
 37 |     print("  |  ###########################        |")
 38 |     print("  |                                  ####           ######           |")
 39 |     print("  |                                    ####       ######             |")
 40 |     print("  |                                     ####     ######              |")
 41 |     print("  |                                      ####  ######                |")
 42 |     print("  |                                       ##########                 |")
 43 |     print("  |                                        #########                   |")
 44 |     print("  |                                         ########                     |")
 45 |     print("  |                                          #######                       |")
 46 |     print(" +----------------------------------------+ ")
 47 |     print("  ")
 48 |     speak("Welcome back sir")
 49 |     hour = int(datetime.datetime.now().hour)
 50 |     year = int(datetime.datetime.now().year)
 51 |     month = int(datetime.datetime.now().month)
 52 |     date = int(datetime.datetime.now().day)
 53 |     Time = datetime.datetime.now().strftime("%I:%M") 
 54 |     print(Time)
 55 |     print(date,"/",month,"/",year)
 56 |     speak("the current Time is")
 57 |     speak(Time)
 58 |     speak("the current Date is")
 59 |     speak(date)
 60 |     speak(month)
 61 |     speak(year)
 62 |     if hour>=6 and hour<12:
 63 |         speak("Good Morning mister V!,hope U have a Great day ahed!")
 64 | 
 65 |     elif hour>=12 and hour<18:
 66 |         speak("Good Afternoon mister V!")
 67 | 
 68 |     elif hour>=18 and hour<24:
 69 |         speak("Good Evening mister V!,hope U had a Great day")
 70 | 
 71 |     else:
 72 |         speak("Good Night mister  V!,sleep thight, dont let the bed bugs bite")
 73 | 
 74 |     speak("Stella at your Service. Please tell me how can I help You ")
 75 | #wishMe()
 76 | def takeCommand():
 77 | 
 78 |     r = sr.Recognizer()
 79 |     with sr.Microphone() as source:
 80 |         print("Listening...")
 81 |         speak("Listening...")
 82 |         audio = r.listen(source)
 83 | 
 84 |     try:
 85 |         print("Recognizing...")
 86 |         query = r.recognize_google(audio, language='en-in')
 87 |         print(f"LV Said:{query}\n")
 88 | 
 89 |     except Exception as e:
 90 |         print(e)
 91 |         print("Say that again Please...")
 92 |         speak("Say that again Please...")
 93 |         return "None"
 94 |     return query
 95 | 
 96 | 
 97 | def sendEmail(to, content):
 98 |     server = smtplib.SMTP('smtp.gmail.com', 587)
 99 |     server.ehlo()
100 |     server.starttls()
101 |     server.login('Senderemail@gmail.com', 'Password')
102 |     server.sendmail('Senderemail@gmail.com', to, content)
103 |     server.close()
104 | 
105 | def lighton():
106 |     driver = webdriver.Chrome('C:/Users/Username/Downloads/chromedriver.exe')#add the location of the chrome Drivers
107 |     driver.get("https://Add here.000webhostapp.com/main.html")#Add the webhost name
108 |     elem1 = driver.find_element_by_id("S1off")
109 |     elem1.click()
110 | 
111 | def lightoff():
112 |     driver = webdriver.Chrome('C:/Users/HACKER47/Downloads/chromedriver.exe')
113 |     driver.get("https://Add here.000webhostapp.com/main.html")#Add the webhost name
114 |     elem1 = driver.find_element_by_id("S1on")
115 |     elem1.click()
116 |             
117 | 
118 | if __name__ == "__main__":
119 |     wishMe()
120 |     while True:
121 |         query = takeCommand().lower()
122 | 
123 | 
124 |         if 'wikipedia' in query:
125 |             speak('Searching Wikipedia...')
126 |             query = query.replace("wikipedia", "")
127 |             results = wikipedia.summary(query, sentences=2)
128 |             speak("According to Wikipedia")
129 |             print(results)
130 |             speak(results)
131 | 
132 |         elif 'search in chrome' in query:
133 |             speak("what should i search?")
134 |             chrome_path = 'C:/Program Files (x86)/Google/Chrome/Application/chrome.exe %s'#Add the Location of the chrome browser
135 | 
136 |             r = sr.Recognizer()
137 | 
138 |             with sr.Microphone() as source:
139 |                 print('say something!')
140 |                 audio = r.listen(source)
141 |                 print("done")
142 |             try:
143 |                 text = r.recognize_google(audio)
144 |                 print('google think you said:\n' +text +'.com')
145 |                 wb.get(chrome_path).open(text+'.com')
146 |             except Exception as e:
147 |                 print(e)
148 |         
149 |         elif 'how is the weather' and 'weather' in query:
150 | 
151 |             url = 'https://api.openweathermap.org/'#Open api link here
152 | 
153 |             res = requests.get(url)
154 | 
155 |             data = res.json()
156 | 
157 |             weather = data['weather'] [0] ['main'] 
158 |             temp = data['main']['temp']
159 |             wind_speed = data['wind']['speed']
160 | 
161 |             latitude = data['coord']['lat']
162 |             longitude = data['coord']['lon']
163 | 
164 |             description = data['weather'][0]['description']
165 |             speak('Temperature : {} degree celcius'.format(temp))
166 |             print('Wind Speed : {} m/s'.format(wind_speed))
167 |             print('Latitude : {}'.format(latitude))
168 |             print('Longitude : {}'.format(longitude))
169 |             print('Description : {}'.format(description))
170 |             print('weather is: {} '.format(weather))
171 |             speak('weather is : {} '.format(weather))
172 | 
173 | 
174 |         elif 'the time' in query:
175 |             strTime = datetime.datetime.now().strftime("%I:%M:%S")    
176 |             speak(f"Sir, the time is {strTime}")
177 |         
178 |         elif 'the date' in query:
179 |             year = int(datetime.datetime.now().year)
180 |             month = int(datetime.datetime.now().month)
181 |             date = int(datetime.datetime.now().day)
182 |             speak("the current Date is")
183 |             speak(date)
184 |             speak(month)
185 |             speak(year)
186 | 
187 | 
188 |         elif 'email to  Lokesh' and 'send email' in query:
189 |             try:
190 |                 speak("What should I say?")
191 |                 content = takeCommand()
192 |                 to = "ReciversEmail@gmail.com"    
193 |                 sendEmail(to, content)
194 |                 speak("Email has been sent!")
195 |             except Exception as e:
196 |                 print(e)
197 |                 speak("Sorry Sir . I am not able to send this email")      
198 | 
199 |         elif 'open code' in query:
200 |             codePath = "C:\\Users\\user account\\AppData\\Local\\Programs\\Microsoft VS Code\\Code.exe"#ADD THE PATH OF THE PROGEM HERE
201 |             os.startfile(codePath)
202 | 
203 | 
204 |         elif 'open' in query:
205 |             os.system('explorer C://{}'.format(query.replace('Open','')))
206 | 
207 |         
208 |         elif 'turn on lights' in query:
209 |             speak("OK,sir turning on the Lights")
210 |             lighton()
211 |             speak("Lights are on")
212 |         
213 |         elif 'turn off lights' in query:
214 |             speak("OK,sir turning off the Lights")
215 |             lightoff()
216 |             speak("Lights are off")
217 | 
218 | 
219 | 
220 |         elif 'go offline' in query:
221 |             speak("ok sir shutting down the system")
222 |             quit()
223 | 


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/Python/Web Scrapping/CME.py:
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  1 | # -*- coding: utf-8 -*-
  2 | """
  3 | Created on Tue Mar 20 16:23:53 2018
  4 | 
  5 | """
  6 | 
  7 | #scraping CME is soooo effortless
  8 | #just simple html parse tree
  9 | #how i love Chicago
 10 | import urllib.request as u
 11 | import pandas as pd
 12 | from bs4 import BeautifulSoup as bs
 13 | import os
 14 | os.chdir('H:/')
 15 | 
 16 | 
 17 | #
 18 | def scrape(category_name,commodity_name):
 19 |     
 20 |     #i use proxy handler cuz my uni network runs on its proxy
 21 |     #and i cannot authenticate python through the proxy
 22 |     #so i use empty proxy to bypass the authentication
 23 |     proxy_handler = u.ProxyHandler({})
 24 |     opener = u.build_opener(proxy_handler)
 25 |     
 26 |     #cme officially forbids scraping
 27 |     #so a header must be used for disguise as an internet browser
 28 |     #the developers say no to scraping, it appears to be so
 29 |     #but actually they turn a blind eye to us, thx
 30 |     #i need different types of commodity
 31 |     #so i need to format the website for each commodity
 32 |     req=u.Request('http://www.cmegroup.com/trading/metals/%s/%s.html'%(
 33 |             category_name,commodity_name),headers={'User-Agent': 'Mozilla/5.0'})
 34 |     response=opener.open(req)
 35 |     result=response.read()
 36 |     soup=bs(result,'html.parser')
 37 |     
 38 |     return soup
 39 | 
 40 | 
 41 | #
 42 | def etl(category_name,commodity_name):
 43 |     
 44 |     try:
 45 |         page=scrape(category_name,commodity_name)
 46 |         print(commodity_name)
 47 |  
 48 |     except Exception as e:
 49 |         print(e)
 50 |         
 51 |         
 52 |     #i need date, prior settle price and volume
 53 |     #it is essential to view source of the website first
 54 |     #then use beautiful soup to search specific class
 55 |     p1=page.find_all('span',class_='cmeNoWrap')
 56 |     p2=page.find_all('td',class_=['statusOK','statusNull','statusAlert'])
 57 |     p3=page.find_all('td',class_="cmeTableRight")
 58 | 
 59 |     a=[]
 60 |     b=[]
 61 |     c=[]
 62 |     
 63 |     for i in p1:
 64 |         a.append(i.text)
 65 | 
 66 |     #somehow prior settle is hard to get
 67 |     #we cannot find that specific tag
 68 |     #we can search for the previous tag instead
 69 |     #the find_next function of beautifulsoup allows us to get the next tag
 70 |     #the previous tag of prior settle is change
 71 |     for j in p2:
 72 |         temp=j.find_next()
 73 |         b.append(temp.text)
 74 | 
 75 |     #the volume contains comma
 76 |     for k in p3:
 77 |         c.append(float(str(k).replace(',','')))
 78 |         
 79 |         
 80 |     df=pd.DataFrame()    
 81 |     df['expiration date']=a
 82 |     df['prior settle']=b
 83 |     df['volume']=c
 84 |     df['name']=commodity_name
 85 |     
 86 |     #for me, i wanna highlight the front month
 87 |     #The front month is the month where the majority of volume and liquidity occurs
 88 |     df['front month']=df['volume']==max(df['volume'])
 89 | 
 90 | 
 91 | #
 92 | def main():
 93 |     
 94 |     #scraping and etl
 95 |     df1=etl('precious','silver')
 96 |     df2=etl('precious','gold')
 97 |     df3=etl('precious','palladium')
 98 |     df4=etl('base','copper')
 99 | 
100 |     #concatenate then export
101 |     dd=pd.concat([df1,df2,df3,df4])
102 |     dd.to_csv('cme.csv',encoding='utf_8_sig')
103 |     
104 |     
105 | if __name__ == "__main__":
106 |     main()
107 | 


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/Python/calculator.py:
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 1 | def add(x, y):
 2 |     return x + y
 3 | # This function subtracts two numbers
 4 | def subtract(x, y):
 5 |     return x - y
 6 | # This function multiplies two numbers
 7 | def multiply(x, y):
 8 |     return x * y
 9 | # This function divides two numbers
10 | def divide(x, y):
11 |     return x / y
12 | print("Select operation.")
13 | print("1.Add")
14 | print("2.Subtract")
15 | print("3.Multiply")
16 | print("4.Divide")
17 | 
18 | while True:
19 |     # take input from the user
20 |     choice = input("Enter choice(1/2/3/4): ")
21 | 
22 |     # check if choice is one of the four options
23 |     if choice in ('1', '2', '3', '4'):
24 |         num1 = float(input("Enter first number: "))
25 |         num2 = float(input("Enter second number: "))
26 | 
27 |         if choice == '1':
28 |             print(num1, "+", num2, "=", add(num1, num2))
29 | 
30 |         elif choice == '2':
31 |             print(num1, "-", num2, "=", subtract(num1, num2))
32 | 
33 |         elif choice == '3':
34 |             print(num1, "*", num2, "=", multiply(num1, num2))
35 | 
36 |         elif choice == '4':
37 |             print(num1, "/", num2, "=", divide(num1, num2))
38 |         
39 |         # check if user wants another calculation
40 |         # break the while loop if answer is no
41 |         next_calculation = input("Let's do next calculation? (yes/no): ")
42 |         if next_calculation == "no":
43 |           break
44 |     
45 |     else:
46 |         print("Invalid Input")


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/Python/house-Price-Prediction/README.md:
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  1 | # Competition Description
  2 | Ask a home buyer to describe their dream house, and they probably won't begin with the height of the basement ceiling or the proximity to an east-west railroad. But this playground competition's dataset proves that much more influences price negotiations than the number of bedrooms or a white-picket fence.  
  3 | With 79 explanatory variables describing (almost) every aspect of residential homes in Ames, Iowa, this competition challenges you to predict the final price of each home.  
  4 | 
  5 | # Practice Skills
  6 | Creative feature engineering   
  7 | Advanced regression techniques like random forest and gradient boosting
  8 | 
  9 | # File descriptions
 10 |  train.csv - the training set  
 11 |  test.csv - the test set  
 12 |  data_description.txt - full description of each column, originally prepared by Dean De Cock but lightly edited to match the column names used here  
 13 |  sample_submission.csv - a benchmark submission from a linear regression on year and month of sale, lot square footage, and number of bedrooms  
 14 | 
 15 | # Data fields
 16 | Here's a brief version of what you'll find in the data description file.  
 17 | SalePrice - the property's sale price in dollars. This is the target variable that you're trying to predict.  
 18 | MSSubClass: The building class  
 19 | MSZoning: The general zoning classification  
 20 | LotFrontage: Linear feet of street connected to property  
 21 | LotArea: Lot size in square feet  
 22 | Street: Type of road access  
 23 | Alley: Type of alley access  
 24 | LotShape: General shape of property  
 25 | LandContour: Flatness of the property  
 26 | Utilities: Type of utilities available  
 27 | LotConfig: Lot configuration  
 28 | LandSlope: Slope of property  
 29 | Neighborhood: Physical locations within Ames city limits  
 30 | Condition1: Proximity to main road or railroad  
 31 | Condition2: Proximity to main road or railroad (if a second is present)  
 32 | BldgType: Type of dwelling  
 33 | HouseStyle: Style of dwelling  
 34 | OverallQual: Overall material and finish quality  
 35 | OverallCond: Overall condition rating  
 36 | YearBuilt: Original construction date  
 37 | YearRemodAdd: Remodel date  
 38 | RoofStyle: Type of roof  
 39 | RoofMatl: Roof material  
 40 | Exterior1st: Exterior covering on house  
 41 | Exterior2nd: Exterior covering on house (if more than one material)  
 42 | MasVnrType: Masonry veneer type  
 43 | MasVnrArea: Masonry veneer area in square feet  
 44 | ExterQual: Exterior material quality  
 45 | ExterCond: Present condition of the material on the exterior  
 46 | Foundation: Type of foundation  
 47 | BsmtQual: Height of the basement  
 48 | BsmtCond: General condition of the basement  
 49 | BsmtExposure: Walkout or garden level basement walls  
 50 | BsmtFinType1: Quality of basement finished area  
 51 | BsmtFinSF1: Type 1 finished square feet  
 52 | BsmtFinType2: Quality of second finished area (if present)  
 53 | BsmtFinSF2: Type 2 finished square feet  
 54 | BsmtUnfSF: Unfinished square feet of basement area  
 55 | TotalBsmtSF: Total square feet of basement area  
 56 | Heating: Type of heating  
 57 | HeatingQC: Heating quality and condition  
 58 | CentralAir: Central air conditioning  
 59 | Electrical: Electrical system  
 60 | 1stFlrSF: First Floor square feet  
 61 | 2ndFlrSF: Second floor square feet  
 62 | LowQualFinSF: Low quality finished square feet (all floors)  
 63 | GrLivArea: Above grade (ground) living area square feet  
 64 | BsmtFullBath: Basement full bathrooms  
 65 | BsmtHalfBath: Basement half bathrooms  
 66 | FullBath: Full bathrooms above grade  
 67 | HalfBath: Half baths above grade  
 68 | Bedroom: Number of bedrooms above basement level  
 69 | Kitchen: Number of kitchens  
 70 | KitchenQual: Kitchen quality  
 71 | TotRmsAbvGrd: Total rooms above grade (does not include bathrooms)  
 72 | Functional: Home functionality rating  
 73 | Fireplaces: Number of fireplaces  
 74 | FireplaceQu: Fireplace quality  
 75 | GarageType: Garage location  
 76 | GarageYrBlt: Year garage was built  
 77 | GarageFinish: Interior finish of the garage  
 78 | GarageCars: Size of garage in car capacity  
 79 | GarageArea: Size of garage in square feet  
 80 | GarageQual: Garage quality  
 81 | GarageCond: Garage condition  
 82 | PavedDrive: Paved driveway  
 83 | WoodDeckSF: Wood deck area in square feet  
 84 | OpenPorchSF: Open porch area in square feet  
 85 | EnclosedPorch: Enclosed porch area in square feet  
 86 | 3SsnPorch: Three season porch area in square feet  
 87 | ScreenPorch: Screen porch area in square feet  
 88 | PoolArea: Pool area in square feet  
 89 | PoolQC: Pool quality  
 90 | Fence: Fence quality  
 91 | MiscFeature: Miscellaneous feature not covered in other categories  
 92 | MiscVal: $Value of miscellaneous feature  
 93 | MoSold: Month Sold  
 94 | YrSold: Year Sold  
 95 | SaleType: Type of sale  
 96 | SaleCondition: Condition of sale  
 97 | 
 98 | # Acknowledgments
 99 | The Ames Housing dataset was compiled by Dean De Cock for use in data science education. It's an incredible alternative for data scientists looking for a modernized and expanded version of the often cited Boston Housing dataset. 
100 | 


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/Python/house-Price-Prediction/data_description.txt:
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  1 | MSSubClass: Identifies the type of dwelling involved in the sale.	
  2 | 
  3 |         20	1-STORY 1946 & NEWER ALL STYLES
  4 |         30	1-STORY 1945 & OLDER
  5 |         40	1-STORY W/FINISHED ATTIC ALL AGES
  6 |         45	1-1/2 STORY - UNFINISHED ALL AGES
  7 |         50	1-1/2 STORY FINISHED ALL AGES
  8 |         60	2-STORY 1946 & NEWER
  9 |         70	2-STORY 1945 & OLDER
 10 |         75	2-1/2 STORY ALL AGES
 11 |         80	SPLIT OR MULTI-LEVEL
 12 |         85	SPLIT FOYER
 13 |         90	DUPLEX - ALL STYLES AND AGES
 14 |        120	1-STORY PUD (Planned Unit Development) - 1946 & NEWER
 15 |        150	1-1/2 STORY PUD - ALL AGES
 16 |        160	2-STORY PUD - 1946 & NEWER
 17 |        180	PUD - MULTILEVEL - INCL SPLIT LEV/FOYER
 18 |        190	2 FAMILY CONVERSION - ALL STYLES AND AGES
 19 | 
 20 | MSZoning: Identifies the general zoning classification of the sale.
 21 | 		
 22 |        A	Agriculture
 23 |        C	Commercial
 24 |        FV	Floating Village Residential
 25 |        I	Industrial
 26 |        RH	Residential High Density
 27 |        RL	Residential Low Density
 28 |        RP	Residential Low Density Park 
 29 |        RM	Residential Medium Density
 30 | 	
 31 | LotFrontage: Linear feet of street connected to property
 32 | 
 33 | LotArea: Lot size in square feet
 34 | 
 35 | Street: Type of road access to property
 36 | 
 37 |        Grvl	Gravel	
 38 |        Pave	Paved
 39 |        	
 40 | Alley: Type of alley access to property
 41 | 
 42 |        Grvl	Gravel
 43 |        Pave	Paved
 44 |        NA 	No alley access
 45 | 		
 46 | LotShape: General shape of property
 47 | 
 48 |        Reg	Regular	
 49 |        IR1	Slightly irregular
 50 |        IR2	Moderately Irregular
 51 |        IR3	Irregular
 52 |        
 53 | LandContour: Flatness of the property
 54 | 
 55 |        Lvl	Near Flat/Level	
 56 |        Bnk	Banked - Quick and significant rise from street grade to building
 57 |        HLS	Hillside - Significant slope from side to side
 58 |        Low	Depression
 59 | 		
 60 | Utilities: Type of utilities available
 61 | 		
 62 |        AllPub	All public Utilities (E,G,W,& S)	
 63 |        NoSewr	Electricity, Gas, and Water (Septic Tank)
 64 |        NoSeWa	Electricity and Gas Only
 65 |        ELO	Electricity only	
 66 | 	
 67 | LotConfig: Lot configuration
 68 | 
 69 |        Inside	Inside lot
 70 |        Corner	Corner lot
 71 |        CulDSac	Cul-de-sac
 72 |        FR2	Frontage on 2 sides of property
 73 |        FR3	Frontage on 3 sides of property
 74 | 	
 75 | LandSlope: Slope of property
 76 | 		
 77 |        Gtl	Gentle slope
 78 |        Mod	Moderate Slope	
 79 |        Sev	Severe Slope
 80 | 	
 81 | Neighborhood: Physical locations within Ames city limits
 82 | 
 83 |        Blmngtn	Bloomington Heights
 84 |        Blueste	Bluestem
 85 |        BrDale	Briardale
 86 |        BrkSide	Brookside
 87 |        ClearCr	Clear Creek
 88 |        CollgCr	College Creek
 89 |        Crawfor	Crawford
 90 |        Edwards	Edwards
 91 |        Gilbert	Gilbert
 92 |        IDOTRR	Iowa DOT and Rail Road
 93 |        MeadowV	Meadow Village
 94 |        Mitchel	Mitchell
 95 |        Names	North Ames
 96 |        NoRidge	Northridge
 97 |        NPkVill	Northpark Villa
 98 |        NridgHt	Northridge Heights
 99 |        NWAmes	Northwest Ames
100 |        OldTown	Old Town
101 |        SWISU	South & West of Iowa State University
102 |        Sawyer	Sawyer
103 |        SawyerW	Sawyer West
104 |        Somerst	Somerset
105 |        StoneBr	Stone Brook
106 |        Timber	Timberland
107 |        Veenker	Veenker
108 | 			
109 | Condition1: Proximity to various conditions
110 | 	
111 |        Artery	Adjacent to arterial street
112 |        Feedr	Adjacent to feeder street	
113 |        Norm	Normal	
114 |        RRNn	Within 200' of North-South Railroad
115 |        RRAn	Adjacent to North-South Railroad
116 |        PosN	Near positive off-site feature--park, greenbelt, etc.
117 |        PosA	Adjacent to postive off-site feature
118 |        RRNe	Within 200' of East-West Railroad
119 |        RRAe	Adjacent to East-West Railroad
120 | 	
121 | Condition2: Proximity to various conditions (if more than one is present)
122 | 		
123 |        Artery	Adjacent to arterial street
124 |        Feedr	Adjacent to feeder street	
125 |        Norm	Normal	
126 |        RRNn	Within 200' of North-South Railroad
127 |        RRAn	Adjacent to North-South Railroad
128 |        PosN	Near positive off-site feature--park, greenbelt, etc.
129 |        PosA	Adjacent to postive off-site feature
130 |        RRNe	Within 200' of East-West Railroad
131 |        RRAe	Adjacent to East-West Railroad
132 | 	
133 | BldgType: Type of dwelling
134 | 		
135 |        1Fam	Single-family Detached	
136 |        2FmCon	Two-family Conversion; originally built as one-family dwelling
137 |        Duplx	Duplex
138 |        TwnhsE	Townhouse End Unit
139 |        TwnhsI	Townhouse Inside Unit
140 | 	
141 | HouseStyle: Style of dwelling
142 | 	
143 |        1Story	One story
144 |        1.5Fin	One and one-half story: 2nd level finished
145 |        1.5Unf	One and one-half story: 2nd level unfinished
146 |        2Story	Two story
147 |        2.5Fin	Two and one-half story: 2nd level finished
148 |        2.5Unf	Two and one-half story: 2nd level unfinished
149 |        SFoyer	Split Foyer
150 |        SLvl	Split Level
151 | 	
152 | OverallQual: Rates the overall material and finish of the house
153 | 
154 |        10	Very Excellent
155 |        9	Excellent
156 |        8	Very Good
157 |        7	Good
158 |        6	Above Average
159 |        5	Average
160 |        4	Below Average
161 |        3	Fair
162 |        2	Poor
163 |        1	Very Poor
164 | 	
165 | OverallCond: Rates the overall condition of the house
166 | 
167 |        10	Very Excellent
168 |        9	Excellent
169 |        8	Very Good
170 |        7	Good
171 |        6	Above Average	
172 |        5	Average
173 |        4	Below Average	
174 |        3	Fair
175 |        2	Poor
176 |        1	Very Poor
177 | 		
178 | YearBuilt: Original construction date
179 | 
180 | YearRemodAdd: Remodel date (same as construction date if no remodeling or additions)
181 | 
182 | RoofStyle: Type of roof
183 | 
184 |        Flat	Flat
185 |        Gable	Gable
186 |        Gambrel	Gabrel (Barn)
187 |        Hip	Hip
188 |        Mansard	Mansard
189 |        Shed	Shed
190 | 		
191 | RoofMatl: Roof material
192 | 
193 |        ClyTile	Clay or Tile
194 |        CompShg	Standard (Composite) Shingle
195 |        Membran	Membrane
196 |        Metal	Metal
197 |        Roll	Roll
198 |        Tar&Grv	Gravel & Tar
199 |        WdShake	Wood Shakes
200 |        WdShngl	Wood Shingles
201 | 		
202 | Exterior1st: Exterior covering on house
203 | 
204 |        AsbShng	Asbestos Shingles
205 |        AsphShn	Asphalt Shingles
206 |        BrkComm	Brick Common
207 |        BrkFace	Brick Face
208 |        CBlock	Cinder Block
209 |        CemntBd	Cement Board
210 |        HdBoard	Hard Board
211 |        ImStucc	Imitation Stucco
212 |        MetalSd	Metal Siding
213 |        Other	Other
214 |        Plywood	Plywood
215 |        PreCast	PreCast	
216 |        Stone	Stone
217 |        Stucco	Stucco
218 |        VinylSd	Vinyl Siding
219 |        Wd Sdng	Wood Siding
220 |        WdShing	Wood Shingles
221 | 	
222 | Exterior2nd: Exterior covering on house (if more than one material)
223 | 
224 |        AsbShng	Asbestos Shingles
225 |        AsphShn	Asphalt Shingles
226 |        BrkComm	Brick Common
227 |        BrkFace	Brick Face
228 |        CBlock	Cinder Block
229 |        CemntBd	Cement Board
230 |        HdBoard	Hard Board
231 |        ImStucc	Imitation Stucco
232 |        MetalSd	Metal Siding
233 |        Other	Other
234 |        Plywood	Plywood
235 |        PreCast	PreCast
236 |        Stone	Stone
237 |        Stucco	Stucco
238 |        VinylSd	Vinyl Siding
239 |        Wd Sdng	Wood Siding
240 |        WdShing	Wood Shingles
241 | 	
242 | MasVnrType: Masonry veneer type
243 | 
244 |        BrkCmn	Brick Common
245 |        BrkFace	Brick Face
246 |        CBlock	Cinder Block
247 |        None	None
248 |        Stone	Stone
249 | 	
250 | MasVnrArea: Masonry veneer area in square feet
251 | 
252 | ExterQual: Evaluates the quality of the material on the exterior 
253 | 		
254 |        Ex	Excellent
255 |        Gd	Good
256 |        TA	Average/Typical
257 |        Fa	Fair
258 |        Po	Poor
259 | 		
260 | ExterCond: Evaluates the present condition of the material on the exterior
261 | 		
262 |        Ex	Excellent
263 |        Gd	Good
264 |        TA	Average/Typical
265 |        Fa	Fair
266 |        Po	Poor
267 | 		
268 | Foundation: Type of foundation
269 | 		
270 |        BrkTil	Brick & Tile
271 |        CBlock	Cinder Block
272 |        PConc	Poured Contrete	
273 |        Slab	Slab
274 |        Stone	Stone
275 |        Wood	Wood
276 | 		
277 | BsmtQual: Evaluates the height of the basement
278 | 
279 |        Ex	Excellent (100+ inches)	
280 |        Gd	Good (90-99 inches)
281 |        TA	Typical (80-89 inches)
282 |        Fa	Fair (70-79 inches)
283 |        Po	Poor (<70 inches
284 |        NA	No Basement
285 | 		
286 | BsmtCond: Evaluates the general condition of the basement
287 | 
288 |        Ex	Excellent
289 |        Gd	Good
290 |        TA	Typical - slight dampness allowed
291 |        Fa	Fair - dampness or some cracking or settling
292 |        Po	Poor - Severe cracking, settling, or wetness
293 |        NA	No Basement
294 | 	
295 | BsmtExposure: Refers to walkout or garden level walls
296 | 
297 |        Gd	Good Exposure
298 |        Av	Average Exposure (split levels or foyers typically score average or above)	
299 |        Mn	Mimimum Exposure
300 |        No	No Exposure
301 |        NA	No Basement
302 | 	
303 | BsmtFinType1: Rating of basement finished area
304 | 
305 |        GLQ	Good Living Quarters
306 |        ALQ	Average Living Quarters
307 |        BLQ	Below Average Living Quarters	
308 |        Rec	Average Rec Room
309 |        LwQ	Low Quality
310 |        Unf	Unfinshed
311 |        NA	No Basement
312 | 		
313 | BsmtFinSF1: Type 1 finished square feet
314 | 
315 | BsmtFinType2: Rating of basement finished area (if multiple types)
316 | 
317 |        GLQ	Good Living Quarters
318 |        ALQ	Average Living Quarters
319 |        BLQ	Below Average Living Quarters	
320 |        Rec	Average Rec Room
321 |        LwQ	Low Quality
322 |        Unf	Unfinshed
323 |        NA	No Basement
324 | 
325 | BsmtFinSF2: Type 2 finished square feet
326 | 
327 | BsmtUnfSF: Unfinished square feet of basement area
328 | 
329 | TotalBsmtSF: Total square feet of basement area
330 | 
331 | Heating: Type of heating
332 | 		
333 |        Floor	Floor Furnace
334 |        GasA	Gas forced warm air furnace
335 |        GasW	Gas hot water or steam heat
336 |        Grav	Gravity furnace	
337 |        OthW	Hot water or steam heat other than gas
338 |        Wall	Wall furnace
339 | 		
340 | HeatingQC: Heating quality and condition
341 | 
342 |        Ex	Excellent
343 |        Gd	Good
344 |        TA	Average/Typical
345 |        Fa	Fair
346 |        Po	Poor
347 | 		
348 | CentralAir: Central air conditioning
349 | 
350 |        N	No
351 |        Y	Yes
352 | 		
353 | Electrical: Electrical system
354 | 
355 |        SBrkr	Standard Circuit Breakers & Romex
356 |        FuseA	Fuse Box over 60 AMP and all Romex wiring (Average)	
357 |        FuseF	60 AMP Fuse Box and mostly Romex wiring (Fair)
358 |        FuseP	60 AMP Fuse Box and mostly knob & tube wiring (poor)
359 |        Mix	Mixed
360 | 		
361 | 1stFlrSF: First Floor square feet
362 |  
363 | 2ndFlrSF: Second floor square feet
364 | 
365 | LowQualFinSF: Low quality finished square feet (all floors)
366 | 
367 | GrLivArea: Above grade (ground) living area square feet
368 | 
369 | BsmtFullBath: Basement full bathrooms
370 | 
371 | BsmtHalfBath: Basement half bathrooms
372 | 
373 | FullBath: Full bathrooms above grade
374 | 
375 | HalfBath: Half baths above grade
376 | 
377 | Bedroom: Bedrooms above grade (does NOT include basement bedrooms)
378 | 
379 | Kitchen: Kitchens above grade
380 | 
381 | KitchenQual: Kitchen quality
382 | 
383 |        Ex	Excellent
384 |        Gd	Good
385 |        TA	Typical/Average
386 |        Fa	Fair
387 |        Po	Poor
388 |        	
389 | TotRmsAbvGrd: Total rooms above grade (does not include bathrooms)
390 | 
391 | Functional: Home functionality (Assume typical unless deductions are warranted)
392 | 
393 |        Typ	Typical Functionality
394 |        Min1	Minor Deductions 1
395 |        Min2	Minor Deductions 2
396 |        Mod	Moderate Deductions
397 |        Maj1	Major Deductions 1
398 |        Maj2	Major Deductions 2
399 |        Sev	Severely Damaged
400 |        Sal	Salvage only
401 | 		
402 | Fireplaces: Number of fireplaces
403 | 
404 | FireplaceQu: Fireplace quality
405 | 
406 |        Ex	Excellent - Exceptional Masonry Fireplace
407 |        Gd	Good - Masonry Fireplace in main level
408 |        TA	Average - Prefabricated Fireplace in main living area or Masonry Fireplace in basement
409 |        Fa	Fair - Prefabricated Fireplace in basement
410 |        Po	Poor - Ben Franklin Stove
411 |        NA	No Fireplace
412 | 		
413 | GarageType: Garage location
414 | 		
415 |        2Types	More than one type of garage
416 |        Attchd	Attached to home
417 |        Basment	Basement Garage
418 |        BuiltIn	Built-In (Garage part of house - typically has room above garage)
419 |        CarPort	Car Port
420 |        Detchd	Detached from home
421 |        NA	No Garage
422 | 		
423 | GarageYrBlt: Year garage was built
424 | 		
425 | GarageFinish: Interior finish of the garage
426 | 
427 |        Fin	Finished
428 |        RFn	Rough Finished	
429 |        Unf	Unfinished
430 |        NA	No Garage
431 | 		
432 | GarageCars: Size of garage in car capacity
433 | 
434 | GarageArea: Size of garage in square feet
435 | 
436 | GarageQual: Garage quality
437 | 
438 |        Ex	Excellent
439 |        Gd	Good
440 |        TA	Typical/Average
441 |        Fa	Fair
442 |        Po	Poor
443 |        NA	No Garage
444 | 		
445 | GarageCond: Garage condition
446 | 
447 |        Ex	Excellent
448 |        Gd	Good
449 |        TA	Typical/Average
450 |        Fa	Fair
451 |        Po	Poor
452 |        NA	No Garage
453 | 		
454 | PavedDrive: Paved driveway
455 | 
456 |        Y	Paved 
457 |        P	Partial Pavement
458 |        N	Dirt/Gravel
459 | 		
460 | WoodDeckSF: Wood deck area in square feet
461 | 
462 | OpenPorchSF: Open porch area in square feet
463 | 
464 | EnclosedPorch: Enclosed porch area in square feet
465 | 
466 | 3SsnPorch: Three season porch area in square feet
467 | 
468 | ScreenPorch: Screen porch area in square feet
469 | 
470 | PoolArea: Pool area in square feet
471 | 
472 | PoolQC: Pool quality
473 | 		
474 |        Ex	Excellent
475 |        Gd	Good
476 |        TA	Average/Typical
477 |        Fa	Fair
478 |        NA	No Pool
479 | 		
480 | Fence: Fence quality
481 | 		
482 |        GdPrv	Good Privacy
483 |        MnPrv	Minimum Privacy
484 |        GdWo	Good Wood
485 |        MnWw	Minimum Wood/Wire
486 |        NA	No Fence
487 | 	
488 | MiscFeature: Miscellaneous feature not covered in other categories
489 | 		
490 |        Elev	Elevator
491 |        Gar2	2nd Garage (if not described in garage section)
492 |        Othr	Other
493 |        Shed	Shed (over 100 SF)
494 |        TenC	Tennis Court
495 |        NA	None
496 | 		
497 | MiscVal: $Value of miscellaneous feature
498 | 
499 | MoSold: Month Sold (MM)
500 | 
501 | YrSold: Year Sold (YYYY)
502 | 
503 | SaleType: Type of sale
504 | 		
505 |        WD 	Warranty Deed - Conventional
506 |        CWD	Warranty Deed - Cash
507 |        VWD	Warranty Deed - VA Loan
508 |        New	Home just constructed and sold
509 |        COD	Court Officer Deed/Estate
510 |        Con	Contract 15% Down payment regular terms
511 |        ConLw	Contract Low Down payment and low interest
512 |        ConLI	Contract Low Interest
513 |        ConLD	Contract Low Down
514 |        Oth	Other
515 | 		
516 | SaleCondition: Condition of sale
517 | 
518 |        Normal	Normal Sale
519 |        Abnorml	Abnormal Sale -  trade, foreclosure, short sale
520 |        AdjLand	Adjoining Land Purchase
521 |        Alloca	Allocation - two linked properties with separate deeds, typically condo with a garage unit	
522 |        Family	Sale between family members
523 |        Partial	Home was not completed when last assessed (associated with New Homes)
524 | 


--------------------------------------------------------------------------------
/Python/house-Price-Prediction/dataset.csv:
--------------------------------------------------------------------------------
   1 | ,OverallQual,GrLivArea,GarageCars,GarageArea,lstFlrSF,SalePrice
   2 | 0,7,1710,2.0,548.0,856,208500.0
   3 | 1,6,1262,2.0,460.0,1262,181500.0
   4 | 2,7,1786,2.0,608.0,920,223500.0
   5 | 3,7,1717,3.0,642.0,961,140000.0
   6 | 4,8,2198,3.0,836.0,1145,250000.0
   7 | 5,5,1362,2.0,480.0,796,143000.0
   8 | 6,8,1694,2.0,636.0,1694,307000.0
   9 | 7,7,2090,2.0,484.0,1107,200000.0
  10 | 8,7,1774,2.0,468.0,1022,129900.0
  11 | 9,5,1077,1.0,205.0,1077,118000.0
  12 | 10,5,1040,1.0,384.0,1040,129500.0
  13 | 11,9,2324,3.0,736.0,1182,345000.0
  14 | 12,5,912,1.0,352.0,912,144000.0
  15 | 13,7,1494,3.0,840.0,1494,279500.0
  16 | 14,6,1253,1.0,352.0,1253,157000.0
  17 | 15,7,854,2.0,576.0,854,132000.0
  18 | 16,6,1004,2.0,480.0,1004,149000.0
  19 | 17,5,1114,2.0,576.0,1114,159000.0
  20 | 18,5,1339,1.0,294.0,1339,139000.0
  21 | 19,8,2376,3.0,853.0,1158,325300.0
  22 | 20,7,1108,1.0,280.0,1108,139400.0
  23 | 21,8,1795,2.0,534.0,1795,230000.0
  24 | 22,5,1060,2.0,572.0,1060,129900.0
  25 | 23,5,1060,1.0,270.0,1060,154000.0
  26 | 24,8,1600,3.0,890.0,1600,256300.0
  27 | 25,5,900,2.0,576.0,900,134800.0
  28 | 26,8,1704,3.0,772.0,1704,306000.0
  29 | 27,5,1600,1.0,319.0,1600,207500.0
  30 | 28,4,520,1.0,240.0,520,68500.0
  31 | 29,4,1317,1.0,250.0,649,40000.0
  32 | 30,5,1228,1.0,271.0,1228,149350.0
  33 | 31,8,1234,2.0,484.0,1234,179900.0
  34 | 32,5,1700,2.0,447.0,1700,165500.0
  35 | 33,9,1561,2.0,556.0,1561,277500.0
  36 | 34,8,2452,3.0,691.0,1132,309000.0
  37 | 35,5,1097,2.0,672.0,1097,145000.0
  38 | 36,5,1297,2.0,498.0,1297,153000.0
  39 | 37,5,1057,1.0,246.0,1057,109000.0
  40 | 38,6,1324,2.0,440.0,1324,160000.0
  41 | 39,5,1328,1.0,308.0,1328,170000.0
  42 | 40,5,884,2.0,504.0,884,144000.0
  43 | 41,5,938,1.0,308.0,938,130250.0
  44 | 42,5,1150,1.0,300.0,1150,141000.0
  45 | 43,9,1752,2.0,576.0,1752,319900.0
  46 | 44,7,2149,2.0,670.0,1518,239686.0
  47 | 45,8,1656,3.0,826.0,1656,249700.0
  48 | 46,4,1452,0.0,0.0,736,113000.0
  49 | 47,5,955,1.0,386.0,955,127000.0
  50 | 48,6,1470,2.0,388.0,794,177000.0
  51 | 49,6,1176,2.0,528.0,816,114500.0
  52 | 50,5,816,2.0,516.0,816,110000.0
  53 | 51,9,1842,3.0,894.0,1842,385000.0
  54 | 52,5,1360,2.0,572.0,1360,130000.0
  55 | 53,6,1425,2.0,576.0,1425,180500.0
  56 | 54,8,1739,2.0,480.0,983,172500.0
  57 | 55,7,1720,2.0,565.0,860,196500.0
  58 | 56,10,2945,3.0,641.0,1426,438780.0
  59 | 57,5,780,1.0,352.0,780,124900.0
  60 | 58,6,1158,2.0,576.0,1158,158000.0
  61 | 59,5,1111,1.0,288.0,581,101000.0
  62 | 60,8,1370,2.0,484.0,1370,202500.0
  63 | 61,7,1710,2.0,480.0,902,140000.0
  64 | 62,7,2034,2.0,645.0,1057,219500.0
  65 | 63,8,2473,3.0,852.0,1143,317000.0
  66 | 64,7,2207,2.0,576.0,2207,180000.0
  67 | 65,7,1479,2.0,558.0,1479,226000.0
  68 | 66,4,747,1.0,220.0,747,80000.0
  69 | 67,7,2287,2.0,667.0,1304,225000.0
  70 | 68,7,2223,2.0,516.0,2223,244000.0
  71 | 69,4,845,2.0,360.0,845,129500.0
  72 | 70,7,1718,2.0,427.0,885,185000.0
  73 | 71,5,1086,2.0,490.0,1086,144900.0
  74 | 72,3,1605,1.0,379.0,840,107400.0
  75 | 73,4,988,1.0,297.0,526,91000.0
  76 | 74,4,952,1.0,283.0,952,135750.0
  77 | 75,5,1285,1.0,240.0,1072,127000.0
  78 | 76,4,1768,0.0,0.0,1768,136500.0
  79 | 77,5,1230,2.0,440.0,682,110000.0
  80 | 78,6,2142,1.0,509.0,1182,193500.0
  81 | 79,6,1337,2.0,405.0,1337,153500.0
  82 | 80,8,1563,3.0,758.0,1563,245000.0
  83 | 81,5,1065,2.0,461.0,1065,126500.0
  84 | 82,7,1474,2.0,400.0,804,168500.0
  85 | 83,8,2417,2.0,462.0,1301,260000.0
  86 | 84,6,1560,2.0,400.0,684,174000.0
  87 | 85,6,1224,2.0,528.0,612,164500.0
  88 | 86,3,1526,0.0,0.0,1013,85000.0
  89 | 87,4,990,0.0,0.0,990,123600.0
  90 | 88,5,1235,2.0,480.0,1235,98600.0
  91 | 89,5,964,2.0,432.0,964,163500.0
  92 | 90,6,2291,2.0,506.0,1260,133900.0
  93 | 91,6,1786,2.0,684.0,905,204750.0
  94 | 92,6,1470,2.0,420.0,680,185000.0
  95 | 93,7,1588,2.0,472.0,1588,214000.0
  96 | 94,4,960,1.0,432.0,960,94750.0
  97 | 95,5,835,1.0,366.0,835,83000.0
  98 | 96,4,1225,0.0,0.0,1225,128950.0
  99 | 97,6,1610,2.0,480.0,1610,205000.0
 100 | 98,6,1732,2.0,476.0,977,178000.0
 101 | 99,7,1226,3.0,740.0,1226,198900.0
 102 | 100,7,1818,1.0,240.0,1226,169500.0
 103 | 101,8,1992,2.0,648.0,1053,250000.0
 104 | 102,4,1047,1.0,273.0,1047,100000.0
 105 | 103,5,789,1.0,250.0,789,115000.0
 106 | 104,5,1517,0.0,0.0,997,115000.0
 107 | 105,6,1844,2.0,546.0,1844,190000.0
 108 | 106,6,1855,1.0,325.0,1216,136900.0
 109 | 107,7,1430,2.0,400.0,774,180000.0
 110 | 108,7,2696,3.0,792.0,1282,383970.0
 111 | 109,6,2259,2.0,450.0,2259,217000.0
 112 | 110,6,2320,1.0,180.0,1436,259500.0
 113 | 111,6,1458,2.0,440.0,729,176000.0
 114 | 112,5,1092,1.0,288.0,1092,139000.0
 115 | 113,5,1125,2.0,430.0,1125,155000.0
 116 | 114,7,3222,3.0,594.0,1699,320000.0
 117 | 115,6,1456,2.0,390.0,728,163990.0
 118 | 116,6,988,2.0,540.0,988,180000.0
 119 | 117,4,1123,1.0,264.0,772,100000.0
 120 | 118,6,1080,1.0,288.0,1080,136000.0
 121 | 119,6,1199,2.0,530.0,1199,153900.0
 122 | 120,6,1586,2.0,435.0,1586,181000.0
 123 | 121,6,754,0.0,0.0,520,84500.0
 124 | 122,6,958,2.0,440.0,958,128000.0
 125 | 123,5,840,0.0,0.0,840,87000.0
 126 | 124,6,1348,2.0,453.0,660,155000.0
 127 | 125,5,1053,2.0,750.0,1053,150000.0
 128 | 126,7,2157,2.0,487.0,1216,226000.0
 129 | 127,6,2054,2.0,390.0,1022,244000.0
 130 | 128,5,1327,2.0,624.0,1327,150750.0
 131 | 129,8,1296,2.0,471.0,1296,220000.0
 132 | 130,5,1721,2.0,440.0,1721,180000.0
 133 | 131,7,1682,2.0,530.0,1682,174000.0
 134 | 132,5,1214,1.0,318.0,1214,143000.0
 135 | 133,7,1959,3.0,766.0,1959,171000.0
 136 | 134,8,1852,3.0,660.0,1004,230000.0
 137 | 135,6,1764,2.0,470.0,928,231500.0
 138 | 136,4,864,0.0,0.0,864,115000.0
 139 | 137,7,1734,2.0,660.0,1734,260000.0
 140 | 138,5,1385,2.0,720.0,910,166000.0
 141 | 139,7,1501,2.0,577.0,1501,204000.0
 142 | 140,5,1728,2.0,504.0,1728,125000.0
 143 | 141,6,1709,2.0,380.0,970,130000.0
 144 | 142,5,875,1.0,180.0,875,105000.0
 145 | 143,7,2035,2.0,434.0,884,222500.0
 146 | 144,7,1080,0.0,0.0,1080,141000.0
 147 | 145,5,1344,1.0,240.0,896,115000.0
 148 | 146,5,969,2.0,440.0,969,122000.0
 149 | 147,8,1710,3.0,866.0,1710,372402.0
 150 | 148,6,1993,2.0,495.0,1097,190000.0
 151 | 149,6,1252,2.0,564.0,1252,235000.0
 152 | 150,6,1200,1.0,312.0,1200,125000.0
 153 | 151,6,1096,0.0,0.0,572,79000.0
 154 | 152,8,1968,3.0,680.0,774,269500.0
 155 | 153,7,1947,2.0,678.0,991,254900.0
 156 | 154,7,2462,2.0,576.0,1392,320000.0
 157 | 155,6,1232,2.0,516.0,1232,162500.0
 158 | 156,9,2668,3.0,726.0,1572,412500.0
 159 | 157,7,1541,2.0,532.0,1541,220000.0
 160 | 158,4,882,0.0,0.0,882,103200.0
 161 | 159,6,1616,1.0,216.0,1149,152000.0
 162 | 160,5,1355,0.0,0.0,808,127500.0
 163 | 161,5,1867,1.0,303.0,1867,190000.0
 164 | 162,8,2161,3.0,789.0,1610,325624.0
 165 | 163,7,1720,2.0,440.0,840,183500.0
 166 | 164,8,1707,2.0,511.0,1707,228000.0
 167 | 165,5,1382,2.0,660.0,854,128500.0
 168 | 166,6,1656,2.0,528.0,1656,215000.0
 169 | 167,7,1767,2.0,504.0,1064,239000.0
 170 | 168,6,1362,2.0,504.0,1362,163000.0
 171 | 169,6,1651,2.0,616.0,1651,184000.0
 172 | 170,6,2158,2.0,576.0,2158,243000.0
 173 | 171,6,2060,2.0,521.0,1164,211000.0
 174 | 172,5,1920,2.0,451.0,1252,172500.0
 175 | 173,9,2234,3.0,1166.0,2234,501837.0
 176 | 174,5,968,2.0,480.0,968,100000.0
 177 | 175,6,1525,2.0,440.0,769,177000.0
 178 | 176,7,1802,1.0,216.0,901,200100.0
 179 | 177,7,2082,2.0,484.0,1362,200000.0
 180 | 178,5,1252,2.0,576.0,936,127000.0
 181 | 179,10,3608,3.0,840.0,1518,475000.0
 182 | 180,7,1217,2.0,497.0,1217,173000.0
 183 | 181,5,1656,1.0,180.0,808,135000.0
 184 | 182,5,1224,2.0,528.0,1224,153337.0
 185 | 183,8,1593,2.0,682.0,1593,286000.0
 186 | 184,8,2727,2.0,440.0,1549,315000.0
 187 | 185,7,1479,2.0,484.0,725,184000.0
 188 | 186,7,1431,2.0,666.0,1431,192000.0
 189 | 187,7,1709,2.0,380.0,970,130000.0
 190 | 188,5,864,1.0,352.0,864,127000.0
 191 | 189,6,1456,2.0,440.0,855,148500.0
 192 | 190,7,1726,3.0,786.0,1726,311872.0
 193 | 191,8,3112,2.0,795.0,1360,235000.0
 194 | 192,6,2229,0.0,0.0,929,104000.0
 195 | 193,8,1713,3.0,856.0,1713,274900.0
 196 | 194,4,1121,2.0,440.0,1121,140000.0
 197 | 195,6,1279,2.0,473.0,1279,171500.0
 198 | 196,6,1310,1.0,398.0,865,112000.0
 199 | 197,6,848,2.0,420.0,848,149000.0
 200 | 198,5,1284,1.0,240.0,720,110000.0
 201 | 199,7,1442,2.0,500.0,1442,180500.0
 202 | 200,5,1696,1.0,349.0,1696,143900.0
 203 | 201,4,1100,1.0,312.0,1100,141000.0
 204 | 202,7,2062,2.0,454.0,1180,277000.0
 205 | 203,6,1092,2.0,504.0,1092,145000.0
 206 | 204,5,864,0.0,0.0,864,98000.0
 207 | 205,6,1212,2.0,460.0,1212,186000.0
 208 | 206,7,1852,2.0,644.0,932,252678.0
 209 | 207,5,990,2.0,576.0,990,156000.0
 210 | 208,6,1392,1.0,299.0,689,161750.0
 211 | 209,5,1236,1.0,447.0,1236,134450.0
 212 | 210,7,1436,2.0,484.0,1436,210000.0
 213 | 211,4,1328,1.0,210.0,810,107000.0
 214 | 212,7,1954,2.0,431.0,1137,311500.0
 215 | 213,7,1248,2.0,438.0,1248,167240.0
 216 | 214,7,1498,2.0,675.0,1498,204900.0
 217 | 215,6,2267,2.0,390.0,1010,200000.0
 218 | 216,6,1552,2.0,434.0,811,179900.0
 219 | 217,4,864,2.0,576.0,864,97000.0
 220 | 218,10,2392,3.0,968.0,2392,386250.0
 221 | 219,5,1302,1.0,280.0,630,112000.0
 222 | 220,7,2520,3.0,721.0,1214,290000.0
 223 | 221,6,987,1.0,280.0,483,106000.0
 224 | 222,5,912,1.0,336.0,912,125000.0
 225 | 223,7,1555,2.0,430.0,1555,192500.0
 226 | 224,6,1194,1.0,312.0,1194,148000.0
 227 | 225,8,2794,3.0,810.0,1490,403000.0
 228 | 226,6,987,1.0,288.0,483,94500.0
 229 | 227,5,894,1.0,308.0,894,128200.0
 230 | 228,6,1960,2.0,440.0,860,216500.0
 231 | 229,6,987,1.0,264.0,483,89500.0
 232 | 230,7,1414,2.0,494.0,1414,185500.0
 233 | 231,7,1744,2.0,457.0,1014,194500.0
 234 | 232,8,1694,3.0,818.0,1694,318000.0
 235 | 233,6,1487,1.0,220.0,798,113000.0
 236 | 234,8,1566,2.0,750.0,1566,262500.0
 237 | 235,5,866,0.0,0.0,866,110500.0
 238 | 236,5,1440,1.0,352.0,889,79000.0
 239 | 237,6,1217,1.0,288.0,626,120000.0
 240 | 238,7,2110,2.0,463.0,1222,205000.0
 241 | 239,7,1872,2.0,604.0,1872,241500.0
 242 | 240,6,1928,1.0,440.0,908,137000.0
 243 | 241,6,1375,2.0,451.0,1375,140000.0
 244 | 242,7,1668,2.0,500.0,840,180000.0
 245 | 243,6,2144,2.0,389.0,1444,277000.0
 246 | 244,3,1306,0.0,0.0,1306,76500.0
 247 | 245,8,1625,2.0,538.0,1625,235000.0
 248 | 246,6,1640,2.0,520.0,798,173000.0
 249 | 247,6,1302,1.0,309.0,1302,158000.0
 250 | 248,5,1314,1.0,294.0,1314,145000.0
 251 | 249,7,2291,2.0,429.0,1005,230000.0
 252 | 250,6,1728,2.0,673.0,864,207500.0
 253 | 251,7,1604,2.0,660.0,1604,220000.0
 254 | 252,7,1792,2.0,564.0,963,231500.0
 255 | 253,6,1382,2.0,884.0,1382,176000.0
 256 | 254,8,2574,3.0,868.0,1482,276000.0
 257 | 255,6,1212,2.0,492.0,1212,151000.0
 258 | 256,5,1316,2.0,484.0,926,130000.0
 259 | 257,5,764,2.0,504.0,764,73000.0
 260 | 258,6,1422,2.0,576.0,1422,175500.0
 261 | 259,6,1511,2.0,413.0,802,185000.0
 262 | 260,5,2192,1.0,240.0,1052,179500.0
 263 | 261,5,778,1.0,924.0,778,120500.0
 264 | 262,6,1113,1.0,504.0,1113,148000.0
 265 | 263,8,1939,3.0,1053.0,1095,266000.0
 266 | 264,7,1363,2.0,439.0,1363,241500.0
 267 | 265,8,2270,3.0,671.0,1164,290000.0
 268 | 266,6,1632,1.0,338.0,1632,139000.0
 269 | 267,5,816,1.0,264.0,816,124500.0
 270 | 268,7,1548,2.0,672.0,952,205000.0
 271 | 269,7,1560,2.0,573.0,1560,201000.0
 272 | 270,4,864,2.0,400.0,864,141000.0
 273 | 271,9,2121,3.0,732.0,2121,415298.0
 274 | 272,7,2022,2.0,505.0,1156,192000.0
 275 | 273,7,1982,2.0,575.0,1175,228500.0
 276 | 274,6,1262,2.0,572.0,1262,185000.0
 277 | 275,7,1314,2.0,626.0,1314,207500.0
 278 | 276,8,1468,3.0,898.0,1468,244600.0
 279 | 277,6,1575,2.0,529.0,1575,179200.0
 280 | 278,7,1250,2.0,528.0,625,164700.0
 281 | 279,6,1734,2.0,440.0,1085,159000.0
 282 | 280,4,858,0.0,0.0,858,88000.0
 283 | 281,5,900,1.0,280.0,900,122000.0
 284 | 282,6,1396,1.0,384.0,698,153575.0
 285 | 283,8,1919,2.0,685.0,1079,233230.0
 286 | 284,5,1716,0.0,0.0,936,135900.0
 287 | 285,5,1716,1.0,281.0,1148,131000.0
 288 | 286,7,2263,2.0,539.0,1468,235000.0
 289 | 287,6,1644,2.0,418.0,1644,167000.0
 290 | 288,6,1003,2.0,588.0,1003,142500.0
 291 | 289,5,1558,1.0,282.0,910,152000.0
 292 | 290,7,1950,2.0,576.0,975,239000.0
 293 | 291,6,1743,2.0,539.0,1041,175000.0
 294 | 292,6,1152,1.0,300.0,1152,158500.0
 295 | 293,5,1336,1.0,375.0,1336,157000.0
 296 | 294,8,2452,2.0,683.0,1210,267000.0
 297 | 295,7,1541,3.0,843.0,1541,205000.0
 298 | 296,5,894,2.0,552.0,894,149900.0
 299 | 297,7,3493,3.0,870.0,1675,295000.0
 300 | 298,8,2000,3.0,888.0,2000,305900.0
 301 | 299,7,2243,3.0,746.0,1122,225000.0
 302 | 300,6,1406,0.0,0.0,1035,89500.0
 303 | 301,4,861,2.0,539.0,861,82500.0
 304 | 302,9,1944,3.0,708.0,1944,360000.0
 305 | 303,6,1501,2.0,420.0,697,165600.0
 306 | 304,6,972,1.0,240.0,972,132000.0
 307 | 305,5,1118,2.0,410.0,793,119900.0
 308 | 306,7,2036,2.0,513.0,2036,375000.0
 309 | 307,7,1641,2.0,546.0,832,178000.0
 310 | 308,7,1432,2.0,432.0,716,188500.0
 311 | 309,7,2353,2.0,484.0,1153,260000.0
 312 | 310,8,1959,3.0,1025.0,1088,270000.0
 313 | 311,7,2646,3.0,656.0,1372,260000.0
 314 | 312,7,1472,2.0,588.0,1472,187500.0
 315 | 313,9,2596,3.0,840.0,1249,342643.0
 316 | 314,8,2468,3.0,872.0,1136,354000.0
 317 | 315,7,2730,2.0,576.0,1553,301000.0
 318 | 316,3,1163,1.0,220.0,1163,126175.0
 319 | 317,7,2978,2.0,564.0,1898,242000.0
 320 | 318,5,803,2.0,360.0,803,87000.0
 321 | 319,8,1719,2.0,473.0,1719,324000.0
 322 | 320,6,1383,1.0,292.0,1383,145250.0
 323 | 321,6,2134,2.0,441.0,1445,214500.0
 324 | 322,5,1192,1.0,189.0,596,78000.0
 325 | 323,5,1728,1.0,352.0,1728,119000.0
 326 | 324,5,1056,1.0,308.0,1056,139000.0
 327 | 325,8,1629,3.0,880.0,1629,284000.0
 328 | 326,7,1358,2.0,484.0,1358,207000.0
 329 | 327,6,1638,2.0,472.0,943,192000.0
 330 | 328,5,1786,2.0,529.0,1619,228950.0
 331 | 329,9,1922,3.0,676.0,1922,377426.0
 332 | 330,7,1536,2.0,532.0,1536,214000.0
 333 | 331,7,1621,2.0,440.0,1621,202500.0
 334 | 332,6,1215,1.0,297.0,1215,155000.0
 335 | 333,8,1908,2.0,431.0,993,202900.0
 336 | 334,4,841,1.0,294.0,841,82000.0
 337 | 335,9,1684,2.0,564.0,1684,266000.0
 338 | 336,5,1112,1.0,336.0,536,85000.0
 339 | 337,6,1577,1.0,312.0,972,140200.0
 340 | 338,6,958,1.0,301.0,958,151500.0
 341 | 339,6,1478,2.0,498.0,1478,157500.0
 342 | 340,7,1626,2.0,474.0,764,154000.0
 343 | 341,9,2728,3.0,706.0,1848,437154.0
 344 | 342,9,1869,2.0,617.0,1869,318061.0
 345 | 343,7,1453,2.0,445.0,1453,190000.0
 346 | 344,5,1111,1.0,200.0,616,95000.0
 347 | 345,6,720,2.0,484.0,720,105900.0
 348 | 346,6,1595,1.0,240.0,1192,140000.0
 349 | 347,6,1200,2.0,521.0,1200,177500.0
 350 | 348,6,1167,2.0,400.0,1167,173000.0
 351 | 349,5,1142,2.0,528.0,1142,134000.0
 352 | 350,5,1352,1.0,288.0,1352,130000.0
 353 | 351,8,1924,2.0,592.0,1086,280000.0
 354 | 352,6,912,2.0,470.0,912,156000.0
 355 | 353,5,1505,1.0,240.0,988,145000.0
 356 | 354,6,987,1.0,264.0,483,118000.0
 357 | 355,6,1574,2.0,566.0,790,190000.0
 358 | 356,5,1344,1.0,468.0,672,147000.0
 359 | 357,6,1394,2.0,514.0,1394,159000.0
 360 | 358,6,1431,1.0,296.0,1431,165000.0
 361 | 359,5,1268,1.0,244.0,1268,132000.0
 362 | 360,5,1287,2.0,576.0,1287,162000.0
 363 | 361,6,1664,2.0,460.0,953,172400.0
 364 | 362,6,752,1.0,264.0,752,125000.0
 365 | 363,5,1319,1.0,270.0,1319,123000.0
 366 | 364,7,1928,2.0,434.0,847,219500.0
 367 | 365,1,904,0.0,0.0,904,61000.0
 368 | 366,5,914,2.0,576.0,914,148000.0
 369 | 367,8,2466,2.0,610.0,1580,340000.0
 370 | 368,9,1856,3.0,834.0,1856,394432.0
 371 | 369,6,1800,2.0,463.0,1007,179000.0
 372 | 370,5,1691,1.0,308.0,1026,127000.0
 373 | 371,7,1301,2.0,572.0,1301,187750.0
 374 | 372,7,1797,2.0,639.0,939,213500.0
 375 | 373,6,784,2.0,360.0,784,76000.0
 376 | 374,6,1953,2.0,501.0,1079,240000.0
 377 | 375,8,1269,2.0,430.0,1269,192000.0
 378 | 376,5,1184,0.0,0.0,658,81000.0
 379 | 377,6,1125,1.0,352.0,1125,125000.0
 380 | 378,7,1479,2.0,577.0,1479,191000.0
 381 | 379,10,2332,3.0,846.0,1742,426000.0
 382 | 380,5,1367,1.0,384.0,961,119000.0
 383 | 381,6,1961,2.0,560.0,804,215000.0
 384 | 382,4,788,0.0,0.0,788,100000.0
 385 | 383,5,1034,1.0,240.0,735,109000.0
 386 | 384,5,1144,1.0,596.0,1144,129000.0
 387 | 385,5,894,2.0,600.0,894,123000.0
 388 | 386,5,1812,1.0,264.0,876,169500.0
 389 | 387,5,1077,1.0,338.0,1077,67000.0
 390 | 388,7,1550,2.0,438.0,1112,241000.0
 391 | 389,8,1288,2.0,500.0,1288,245500.0
 392 | 390,7,1310,2.0,400.0,1310,164990.0
 393 | 391,5,672,1.0,240.0,672,108000.0
 394 | 392,8,2263,2.0,420.0,1165,258000.0
 395 | 393,6,1572,2.0,373.0,806,168000.0
 396 | 394,4,1620,2.0,490.0,1620,150000.0
 397 | 395,6,1639,1.0,240.0,1166,115000.0
 398 | 396,6,1680,1.0,308.0,840,177000.0
 399 | 397,7,2172,3.0,947.0,1071,280000.0
 400 | 398,8,2078,3.0,836.0,1050,339750.0
 401 | 399,5,1276,1.0,350.0,1276,60000.0
 402 | 400,5,1056,2.0,572.0,1056,145000.0
 403 | 401,7,1478,2.0,484.0,1478,222000.0
 404 | 402,5,1028,2.0,360.0,1028,115000.0
 405 | 403,7,2097,3.0,678.0,1080,228000.0
 406 | 404,7,1340,2.0,396.0,1340,181134.0
 407 | 405,6,1400,2.0,440.0,672,149500.0
 408 | 406,6,2624,3.0,864.0,1370,239000.0
 409 | 407,5,1134,1.0,240.0,756,126000.0
 410 | 408,5,1056,1.0,304.0,1056,142000.0
 411 | 409,7,1344,4.0,784.0,1344,206300.0
 412 | 410,6,1602,2.0,529.0,1602,215000.0
 413 | 411,5,988,2.0,520.0,988,113000.0
 414 | 412,8,2630,3.0,696.0,1470,315000.0
 415 | 413,6,1196,1.0,297.0,1196,139000.0
 416 | 414,7,1389,1.0,240.0,707,135000.0
 417 | 415,7,1644,2.0,569.0,1644,275000.0
 418 | 416,4,907,1.0,352.0,907,109008.0
 419 | 417,7,1208,2.0,628.0,1208,195400.0
 420 | 418,6,1412,2.0,576.0,1412,175000.0
 421 | 419,6,987,1.0,264.0,483,85400.0
 422 | 420,6,1198,0.0,0.0,1088,79900.0
 423 | 421,5,1365,2.0,440.0,765,122500.0
 424 | 422,6,1604,2.0,470.0,926,181000.0
 425 | 423,4,630,0.0,0.0,630,81000.0
 426 | 424,7,1661,2.0,550.0,827,212000.0
 427 | 425,6,1118,2.0,440.0,734,116000.0
 428 | 426,6,904,1.0,180.0,904,119000.0
 429 | 427,5,694,1.0,352.0,694,90350.0
 430 | 428,6,1196,2.0,528.0,684,110000.0
 431 | 429,10,2402,3.0,672.0,2402,555000.0
 432 | 430,4,1440,0.0,0.0,1440,118000.0
 433 | 431,5,1573,2.0,360.0,1128,162900.0
 434 | 432,7,1258,3.0,648.0,1258,172500.0
 435 | 433,7,1908,2.0,493.0,933,210000.0
 436 | 434,6,1689,2.0,480.0,1689,127500.0
 437 | 435,6,1888,2.0,578.0,1888,190000.0
 438 | 436,7,1886,2.0,431.0,956,199900.0
 439 | 437,6,1376,1.0,198.0,780,119500.0
 440 | 438,3,1183,1.0,308.0,679,120000.0
 441 | 439,6,813,1.0,270.0,813,110000.0
 442 | 440,7,1533,2.0,576.0,1533,280000.0
 443 | 441,6,1756,2.0,422.0,888,204000.0
 444 | 442,8,1590,2.0,676.0,786,210000.0
 445 | 443,5,1728,2.0,560.0,1728,188000.0
 446 | 444,7,1242,2.0,528.0,1242,175500.0
 447 | 445,5,1344,3.0,513.0,624,98000.0
 448 | 446,4,1663,2.0,529.0,1663,256000.0
 449 | 447,8,1666,1.0,228.0,833,161000.0
 450 | 448,5,1203,1.0,352.0,979,110000.0
 451 | 449,8,1935,2.0,552.0,832,263435.0
 452 | 450,7,1135,2.0,576.0,575,155000.0
 453 | 451,5,864,1.0,360.0,864,62383.0
 454 | 452,6,1660,1.0,240.0,849,188700.0
 455 | 453,5,1040,0.0,0.0,1040,124000.0
 456 | 454,7,1414,2.0,398.0,1414,178740.0
 457 | 455,7,1277,2.0,526.0,1277,167000.0
 458 | 456,5,1644,1.0,312.0,888,146500.0
 459 | 457,8,1634,3.0,866.0,1634,250000.0
 460 | 458,6,1710,2.0,506.0,832,187000.0
 461 | 459,8,1502,2.0,528.0,1502,212000.0
 462 | 460,7,1969,2.0,534.0,1161,190000.0
 463 | 461,6,1072,2.0,525.0,1072,148000.0
 464 | 462,8,1976,3.0,908.0,1976,440000.0
 465 | 463,8,1652,2.0,499.0,1652,251000.0
 466 | 464,5,970,2.0,624.0,970,132500.0
 467 | 465,6,1493,2.0,508.0,1493,208900.0
 468 | 466,9,2643,3.0,694.0,2069,380000.0
 469 | 467,8,1718,3.0,826.0,1718,297000.0
 470 | 468,4,1131,2.0,672.0,1131,89471.0
 471 | 469,9,1850,3.0,772.0,1850,326000.0
 472 | 470,9,1792,3.0,874.0,1792,374000.0
 473 | 471,7,1826,1.0,164.0,916,155000.0
 474 | 472,6,1216,2.0,402.0,1216,164000.0
 475 | 473,5,999,1.0,264.0,999,132500.0
 476 | 474,5,1113,1.0,264.0,1113,147000.0
 477 | 475,5,1073,2.0,515.0,1073,156000.0
 478 | 476,5,1484,2.0,487.0,1484,175000.0
 479 | 477,5,2414,2.0,520.0,1766,160000.0
 480 | 478,4,630,1.0,286.0,630,86000.0
 481 | 479,5,1304,1.0,336.0,616,115000.0
 482 | 480,6,1578,1.0,240.0,958,133000.0
 483 | 481,6,1456,2.0,429.0,728,172785.0
 484 | 482,5,1269,1.0,308.0,1269,155000.0
 485 | 483,5,886,1.0,273.0,886,91300.0
 486 | 484,4,720,0.0,0.0,720,34900.0
 487 | 485,8,3228,2.0,546.0,3228,430000.0
 488 | 486,7,1820,1.0,240.0,1133,184000.0
 489 | 487,5,899,1.0,288.0,899,130000.0
 490 | 488,5,912,1.0,297.0,912,120000.0
 491 | 489,6,1218,1.0,264.0,672,113000.0
 492 | 490,7,1768,2.0,603.0,866,226700.0
 493 | 491,5,1214,2.0,461.0,1214,140000.0
 494 | 492,7,1801,2.0,484.0,1801,289000.0
 495 | 493,6,1322,2.0,440.0,855,147000.0
 496 | 494,5,1960,2.0,400.0,960,124500.0
 497 | 495,8,1911,2.0,471.0,1065,215000.0
 498 | 496,6,1218,2.0,676.0,1218,208300.0
 499 | 497,7,1378,2.0,360.0,689,161000.0
 500 | 498,5,1041,1.0,270.0,1041,124500.0
 501 | 499,5,1363,1.0,288.0,1363,164900.0
 502 | 500,7,1368,2.0,474.0,1368,202665.0
 503 | 501,5,864,2.0,624.0,864,129900.0
 504 | 502,6,1080,2.0,484.0,1080,134000.0
 505 | 503,5,789,1.0,200.0,789,96500.0
 506 | 504,10,2020,3.0,900.0,2020,402861.0
 507 | 505,6,2119,2.0,583.0,1378,158000.0
 508 | 506,7,2344,3.0,889.0,1277,265000.0
 509 | 507,6,1796,2.0,546.0,882,211000.0
 510 | 508,7,2080,1.0,282.0,1276,234000.0
 511 | 509,6,1244,1.0,336.0,1244,150000.0
 512 | 510,6,1664,2.0,420.0,1004,159000.0
 513 | 511,10,4676,3.0,884.0,3138,184750.0
 514 | 512,7,2398,3.0,834.0,1383,315750.0
 515 | 513,7,1266,2.0,453.0,1266,176000.0
 516 | 514,5,928,1.0,252.0,928,132000.0
 517 | 515,9,2713,3.0,858.0,1476,446261.0
 518 | 516,4,605,0.0,0.0,605,86000.0
 519 | 517,6,2515,2.0,484.0,2515,200624.0
 520 | 518,6,1509,2.0,600.0,1509,175000.0
 521 | 519,6,1362,2.0,502.0,751,128000.0
 522 | 520,8,1414,2.0,403.0,707,178000.0
 523 | 521,5,1347,0.0,0.0,820,107500.0
 524 | 522,7,1724,2.0,527.0,880,188000.0
 525 | 523,4,864,2.0,576.0,864,111250.0
 526 | 524,5,1159,1.0,336.0,1159,158000.0
 527 | 525,8,1601,2.0,670.0,1601,272000.0
 528 | 526,9,1838,3.0,765.0,1838,315000.0
 529 | 527,8,2285,3.0,648.0,997,248000.0
 530 | 528,7,1680,2.0,583.0,1680,213250.0
 531 | 529,7,767,1.0,367.0,767,133000.0
 532 | 530,7,1496,2.0,426.0,664,179665.0
 533 | 531,7,2183,3.0,786.0,1377,229000.0
 534 | 532,6,1635,2.0,440.0,915,210000.0
 535 | 533,5,768,2.0,624.0,768,129500.0
 536 | 534,5,825,2.0,720.0,825,125000.0
 537 | 535,7,2094,2.0,615.0,912,263000.0
 538 | 536,6,1069,2.0,440.0,1069,140000.0
 539 | 537,5,928,1.0,288.0,928,112500.0
 540 | 538,8,1717,3.0,908.0,1717,255500.0
 541 | 539,7,2046,3.0,871.0,1006,284000.0
 542 | 540,5,1048,1.0,280.0,1048,113000.0
 543 | 541,5,1092,1.0,299.0,1092,141000.0
 544 | 542,4,1336,1.0,570.0,897,108000.0
 545 | 543,7,1446,2.0,406.0,729,175000.0
 546 | 544,7,1557,2.0,420.0,1557,234000.0
 547 | 545,5,1392,2.0,528.0,1392,121500.0
 548 | 546,5,1389,2.0,418.0,1389,170000.0
 549 | 547,5,996,0.0,0.0,996,108000.0
 550 | 548,6,1674,2.0,396.0,1163,185000.0
 551 | 549,7,2295,2.0,590.0,1166,268000.0
 552 | 550,6,1647,1.0,216.0,841,128000.0
 553 | 551,9,2504,3.0,656.0,1134,325000.0
 554 | 552,7,1535,2.0,532.0,1535,214000.0
 555 | 553,8,2132,2.0,612.0,1496,316600.0
 556 | 554,5,943,2.0,600.0,943,135960.0
 557 | 555,5,1728,2.0,576.0,1728,142600.0
 558 | 556,6,864,1.0,288.0,864,120000.0
 559 | 557,7,1692,2.0,650.0,846,224500.0
 560 | 558,7,1430,2.0,400.0,774,170000.0
 561 | 559,5,1109,1.0,288.0,576,139000.0
 562 | 560,5,1216,1.0,336.0,832,118500.0
 563 | 561,7,1477,1.0,216.0,877,145000.0
 564 | 562,5,1320,2.0,564.0,1320,164500.0
 565 | 563,7,1392,2.0,540.0,703,146000.0
 566 | 564,5,1795,1.0,352.0,1050,131500.0
 567 | 565,6,1429,2.0,572.0,1429,181900.0
 568 | 566,8,2042,3.0,1390.0,2042,253293.0
 569 | 567,6,816,0.0,0.0,816,118500.0
 570 | 568,10,2775,2.0,880.0,1521,325000.0
 571 | 569,4,1573,1.0,240.0,989,133000.0
 572 | 570,8,2028,3.0,880.0,2028,369900.0
 573 | 571,6,838,1.0,275.0,838,130000.0
 574 | 572,5,860,2.0,528.0,860,137000.0
 575 | 573,5,1473,1.0,452.0,1473,143000.0
 576 | 574,5,935,1.0,308.0,779,79500.0
 577 | 575,7,1582,2.0,520.0,770,185900.0
 578 | 576,10,2296,3.0,842.0,1728,451950.0
 579 | 577,5,816,2.0,816.0,816,138000.0
 580 | 578,6,848,2.0,420.0,848,140000.0
 581 | 579,5,924,1.0,280.0,924,110000.0
 582 | 580,8,1826,3.0,758.0,1826,319000.0
 583 | 581,6,1368,1.0,216.0,684,114504.0
 584 | 582,7,1402,3.0,648.0,1402,194201.0
 585 | 583,5,1647,2.0,621.0,1647,217500.0
 586 | 584,6,1556,2.0,452.0,716,151000.0
 587 | 585,8,1904,2.0,736.0,1058,275000.0
 588 | 586,6,1375,1.0,544.0,780,141000.0
 589 | 587,8,1915,2.0,506.0,927,220000.0
 590 | 588,7,1200,2.0,480.0,600,151000.0
 591 | 589,7,1494,2.0,530.0,1494,221000.0
 592 | 590,7,1986,2.0,486.0,1186,205000.0
 593 | 591,5,1040,2.0,576.0,1040,152000.0
 594 | 592,5,2008,1.0,230.0,1112,225000.0
 595 | 593,8,3194,2.0,380.0,1940,359100.0
 596 | 594,4,1029,1.0,261.0,1029,118500.0
 597 | 595,9,2153,3.0,736.0,1476,313000.0
 598 | 596,6,1032,2.0,564.0,1032,148000.0
 599 | 597,8,1872,2.0,531.0,1299,261500.0
 600 | 598,5,1120,0.0,0.0,1120,147000.0
 601 | 599,4,630,0.0,0.0,630,75500.0
 602 | 600,6,1054,2.0,480.0,1054,137500.0
 603 | 601,6,1509,2.0,393.0,807,183200.0
 604 | 602,6,832,2.0,528.0,832,105500.0
 605 | 603,9,1828,3.0,774.0,1828,314813.0
 606 | 604,8,2262,3.0,749.0,1482,305000.0
 607 | 605,3,864,0.0,0.0,864,67000.0
 608 | 606,6,2614,2.0,624.0,1548,240000.0
 609 | 607,5,980,2.0,484.0,980,135000.0
 610 | 608,6,1512,2.0,440.0,756,168500.0
 611 | 609,6,1790,2.0,484.0,1012,165150.0
 612 | 610,6,1116,2.0,440.0,1116,160000.0
 613 | 611,5,1422,1.0,286.0,1422,139900.0
 614 | 612,6,1520,1.0,364.0,1520,153000.0
 615 | 613,5,2080,2.0,504.0,1040,135000.0
 616 | 614,6,1350,2.0,520.0,1350,168500.0
 617 | 615,5,1750,1.0,240.0,1089,124000.0
 618 | 616,8,1554,2.0,627.0,1554,209500.0
 619 | 617,7,1411,2.0,544.0,1411,82500.0
 620 | 618,5,1056,1.0,260.0,1056,139400.0
 621 | 619,6,1056,2.0,576.0,1056,144000.0
 622 | 620,6,3395,0.0,0.0,1440,200000.0
 623 | 621,2,800,0.0,0.0,800,60000.0
 624 | 622,5,1387,1.0,256.0,811,93000.0
 625 | 623,5,796,0.0,0.0,796,85000.0
 626 | 624,8,1567,3.0,648.0,1567,264561.0
 627 | 625,8,1518,2.0,588.0,1518,274000.0
 628 | 626,7,1929,2.0,650.0,1057,226000.0
 629 | 627,8,2704,2.0,538.0,2000,345000.0
 630 | 628,5,1620,2.0,462.0,780,152000.0
 631 | 629,9,1766,3.0,478.0,1766,370878.0
 632 | 630,6,981,2.0,576.0,981,143250.0
 633 | 631,6,1094,2.0,495.0,1094,155000.0
 634 | 632,6,1839,2.0,442.0,1051,155000.0
 635 | 633,4,630,0.0,0.0,630,84500.0
 636 | 634,7,1665,2.0,562.0,822,205950.0
 637 | 635,4,1510,1.0,296.0,755,108000.0
 638 | 636,7,1716,2.0,512.0,909,191000.0
 639 | 637,6,1469,1.0,216.0,756,135000.0
 640 | 638,8,2113,3.0,839.0,2113,350000.0
 641 | 639,6,1092,1.0,264.0,525,88000.0
 642 | 640,5,1053,1.0,312.0,1053,145500.0
 643 | 641,7,1502,1.0,270.0,851,149000.0
 644 | 642,6,1458,1.0,330.0,912,97500.0
 645 | 643,5,1486,2.0,480.0,1486,167000.0
 646 | 644,7,1935,2.0,550.0,1142,197900.0
 647 | 645,8,2448,3.0,711.0,1686,402000.0
 648 | 646,6,1392,2.0,576.0,1392,110000.0
 649 | 647,4,1181,2.0,588.0,1181,137500.0
 650 | 648,8,2097,3.0,1134.0,2097,423000.0
 651 | 649,8,1936,2.0,504.0,1454,230500.0
 652 | 650,6,2380,2.0,596.0,1465,129000.0
 653 | 651,6,1679,2.0,575.0,1679,193500.0
 654 | 652,5,1437,2.0,576.0,1437,168000.0
 655 | 653,4,1180,1.0,252.0,1180,137500.0
 656 | 654,6,1476,2.0,540.0,738,173500.0
 657 | 655,6,1369,1.0,300.0,697,103600.0
 658 | 656,6,1208,2.0,546.0,1208,165000.0
 659 | 657,6,1839,2.0,416.0,1839,257500.0
 660 | 658,6,1136,1.0,384.0,1136,140000.0
 661 | 659,6,1441,2.0,440.0,855,148500.0
 662 | 660,4,1774,3.0,779.0,1095,87000.0
 663 | 661,5,792,1.0,240.0,792,109500.0
 664 | 662,8,2046,3.0,834.0,2046,372500.0
 665 | 663,5,988,2.0,572.0,988,128500.0
 666 | 664,6,923,1.0,264.0,923,143000.0
 667 | 665,5,1520,1.0,281.0,848,159434.0
 668 | 666,6,1291,2.0,431.0,1291,173000.0
 669 | 667,9,1668,3.0,702.0,1668,285000.0
 670 | 668,7,1839,2.0,486.0,1195,221000.0
 671 | 669,7,2090,2.0,577.0,1190,207500.0
 672 | 670,7,1761,2.0,578.0,874,227875.0
 673 | 671,7,1102,2.0,480.0,551,148800.0
 674 | 672,8,1419,2.0,567.0,1419,392000.0
 675 | 673,6,1362,2.0,460.0,1362,194700.0
 676 | 674,6,848,2.0,420.0,848,141000.0
 677 | 675,10,4316,3.0,832.0,2444,755000.0
 678 | 676,7,2519,2.0,628.0,1238,335000.0
 679 | 677,5,1073,1.0,326.0,1073,108480.0
 680 | 678,5,1539,2.0,576.0,1067,141500.0
 681 | 679,6,1137,2.0,551.0,1137,176000.0
 682 | 680,5,616,1.0,205.0,616,89000.0
 683 | 681,5,1148,1.0,308.0,1148,123500.0
 684 | 682,5,894,1.0,336.0,894,138500.0
 685 | 683,7,1391,2.0,530.0,1391,196000.0
 686 | 684,8,1800,3.0,765.0,1800,312500.0
 687 | 685,7,1164,2.0,528.0,1164,140000.0
 688 | 686,8,2576,3.0,666.0,1264,361919.0
 689 | 687,5,1812,2.0,672.0,1032,140000.0
 690 | 688,7,1484,2.0,606.0,1484,213000.0
 691 | 689,7,1824,2.0,739.0,1824,302000.0
 692 | 690,8,1324,2.0,550.0,1324,254000.0
 693 | 691,7,1456,2.0,400.0,728,179540.0
 694 | 692,5,904,1.0,408.0,904,109900.0
 695 | 693,3,729,0.0,0.0,729,52000.0
 696 | 694,4,1178,1.0,384.0,859,102776.0
 697 | 695,8,1228,2.0,472.0,1228,189000.0
 698 | 696,4,960,2.0,576.0,960,129000.0
 699 | 697,6,1479,2.0,475.0,725,130500.0
 700 | 698,6,1350,2.0,478.0,1350,165000.0
 701 | 699,7,2554,2.0,704.0,1576,159500.0
 702 | 700,5,1178,2.0,439.0,1178,157000.0
 703 | 701,7,2418,3.0,983.0,1325,341000.0
 704 | 702,5,971,1.0,300.0,971,128500.0
 705 | 703,8,1742,2.0,564.0,1742,275000.0
 706 | 704,6,848,2.0,420.0,848,143000.0
 707 | 705,4,864,2.0,463.0,864,124500.0
 708 | 706,4,1470,1.0,548.0,997,135000.0
 709 | 707,9,1698,3.0,768.0,1698,320000.0
 710 | 708,4,864,2.0,660.0,864,120500.0
 711 | 709,6,1680,2.0,540.0,1680,222000.0
 712 | 710,7,1232,2.0,632.0,1232,194500.0
 713 | 711,5,1776,3.0,888.0,1776,110000.0
 714 | 712,4,1208,2.0,539.0,848,103000.0
 715 | 713,8,1616,2.0,608.0,1616,236500.0
 716 | 714,7,1146,2.0,438.0,1146,187500.0
 717 | 715,7,2031,2.0,541.0,1153,222500.0
 718 | 716,5,1144,1.0,264.0,1144,131400.0
 719 | 717,5,948,1.0,300.0,948,108000.0
 720 | 718,7,1768,2.0,320.0,880,163000.0
 721 | 719,8,1801,3.0,800.0,901,239900.0
 722 | 720,5,1200,0.0,0.0,1200,179000.0
 723 | 721,7,1728,2.0,572.0,864,190000.0
 724 | 722,5,1432,2.0,360.0,768,132000.0
 725 | 723,6,912,1.0,288.0,912,142000.0
 726 | 724,7,1349,2.0,539.0,1349,179000.0
 727 | 725,5,1464,2.0,480.0,1464,175000.0
 728 | 726,8,1337,2.0,462.0,1337,180000.0
 729 | 727,8,2715,2.0,831.0,1175,299800.0
 730 | 728,7,2256,2.0,554.0,980,236000.0
 731 | 729,7,2640,4.0,864.0,1320,265979.0
 732 | 730,7,1720,2.0,527.0,1720,260400.0
 733 | 731,4,1140,0.0,0.0,792,96500.0
 734 | 732,7,1320,2.0,400.0,660,162000.0
 735 | 733,6,1494,2.0,576.0,1494,217000.0
 736 | 734,8,2098,3.0,878.0,1038,275500.0
 737 | 735,6,1026,2.0,440.0,1026,156000.0
 738 | 736,6,1471,2.0,440.0,742,172500.0
 739 | 737,8,1768,2.0,578.0,866,212000.0
 740 | 738,6,1386,2.0,440.0,672,158900.0
 741 | 739,7,1501,2.0,440.0,757,179400.0
 742 | 740,8,2531,3.0,752.0,1328,290000.0
 743 | 741,6,864,1.0,300.0,864,127500.0
 744 | 742,5,1301,2.0,440.0,1301,100000.0
 745 | 743,7,1547,2.0,614.0,764,215200.0
 746 | 744,8,2365,3.0,856.0,1268,337000.0
 747 | 745,8,1494,2.0,481.0,1494,270000.0
 748 | 746,9,1506,2.0,592.0,1506,264132.0
 749 | 747,7,1714,2.0,496.0,980,196500.0
 750 | 748,6,1750,1.0,423.0,983,160000.0
 751 | 749,7,1836,2.0,484.0,1836,216837.0
 752 | 750,8,3279,3.0,841.0,1690,538000.0
 753 | 751,5,858,2.0,576.0,858,134900.0
 754 | 752,4,1220,2.0,396.0,1220,102000.0
 755 | 753,6,1117,2.0,672.0,1117,107000.0
 756 | 754,5,912,1.0,275.0,912,114500.0
 757 | 755,8,1973,3.0,895.0,1973,395000.0
 758 | 756,6,1204,2.0,412.0,1204,162000.0
 759 | 757,7,1614,3.0,865.0,1614,221500.0
 760 | 758,5,894,2.0,440.0,894,142500.0
 761 | 759,6,1004,2.0,504.0,1004,135000.0
 762 | 760,7,1253,2.0,402.0,1253,176000.0
 763 | 761,6,1603,2.0,484.0,810,175900.0
 764 | 762,7,1430,2.0,605.0,1430,187100.0
 765 | 763,5,1110,2.0,602.0,1110,165500.0
 766 | 764,6,1484,0.0,0.0,742,128000.0
 767 | 765,6,1342,2.0,457.0,1342,161500.0
 768 | 766,5,1652,1.0,416.0,966,139000.0
 769 | 767,7,2084,2.0,618.0,956,233000.0
 770 | 768,4,901,1.0,281.0,901,107900.0
 771 | 769,6,2087,2.0,444.0,976,187500.0
 772 | 770,7,1145,2.0,397.0,1145,160200.0
 773 | 771,6,1062,2.0,539.0,1062,146800.0
 774 | 772,7,2013,2.0,455.0,1127,269790.0
 775 | 773,8,1496,2.0,474.0,1496,225000.0
 776 | 774,7,1895,2.0,409.0,1086,194500.0
 777 | 775,6,1564,2.0,476.0,888,171000.0
 778 | 776,6,1285,2.0,528.0,1285,143500.0
 779 | 777,5,773,1.0,240.0,773,110000.0
 780 | 778,9,3140,3.0,820.0,1966,485000.0
 781 | 779,5,1768,1.0,240.0,981,175000.0
 782 | 780,6,1688,2.0,603.0,616,200000.0
 783 | 781,4,1196,2.0,440.0,1196,109900.0
 784 | 782,7,1456,2.0,410.0,728,189000.0
 785 | 783,9,2822,3.0,1020.0,1734,582933.0
 786 | 784,5,1128,1.0,286.0,1128,118000.0
 787 | 785,7,1428,2.0,554.0,1428,227680.0
 788 | 786,5,980,1.0,384.0,980,135500.0
 789 | 787,5,1576,2.0,528.0,1072,223500.0
 790 | 788,5,1086,2.0,484.0,1086,159950.0
 791 | 789,5,2138,2.0,360.0,1075,106000.0
 792 | 790,6,1309,2.0,484.0,1309,181000.0
 793 | 791,6,848,2.0,420.0,848,144500.0
 794 | 792,5,1044,2.0,504.0,1044,55993.0
 795 | 793,6,1442,1.0,301.0,1442,157900.0
 796 | 794,5,1250,1.0,280.0,686,116000.0
 797 | 795,7,1661,2.0,598.0,1661,224900.0
 798 | 796,5,1008,1.0,275.0,1008,137000.0
 799 | 797,8,1689,3.0,857.0,1689,271000.0
 800 | 798,6,1052,2.0,440.0,1052,155000.0
 801 | 799,7,1358,2.0,484.0,1358,224000.0
 802 | 800,7,1640,2.0,595.0,798,183000.0
 803 | 801,4,936,2.0,576.0,936,93000.0
 804 | 802,7,1733,2.0,433.0,847,225000.0
 805 | 803,6,1489,1.0,240.0,944,139500.0
 806 | 804,8,1489,2.0,776.0,1489,232600.0
 807 | 805,10,2084,3.0,1220.0,2084,385000.0
 808 | 806,5,784,0.0,0.0,784,109500.0
 809 | 807,7,1434,2.0,527.0,1434,189000.0
 810 | 808,5,2126,2.0,538.0,1160,185000.0
 811 | 809,7,1223,2.0,480.0,520,147400.0
 812 | 810,6,1392,2.0,458.0,1392,166000.0
 813 | 811,7,1200,2.0,480.0,520,151000.0
 814 | 812,7,1829,2.0,613.0,941,237000.0
 815 | 813,6,1516,2.0,472.0,1516,167000.0
 816 | 814,5,1144,2.0,456.0,1144,139950.0
 817 | 815,4,1067,2.0,436.0,1067,128000.0
 818 | 816,5,1559,2.0,812.0,1559,153500.0
 819 | 817,6,987,1.0,264.0,483,100000.0
 820 | 818,5,1099,1.0,352.0,1099,144000.0
 821 | 819,5,1200,1.0,240.0,768,130500.0
 822 | 820,6,1482,1.0,400.0,810,140000.0
 823 | 821,5,1539,2.0,686.0,958,157500.0
 824 | 822,6,1165,2.0,490.0,1165,174900.0
 825 | 823,5,1800,0.0,0.0,1800,141000.0
 826 | 824,5,1416,3.0,720.0,876,153900.0
 827 | 825,5,1701,2.0,611.0,1701,171000.0
 828 | 826,7,1775,2.0,425.0,1006,213000.0
 829 | 827,5,864,1.0,338.0,864,133500.0
 830 | 828,6,2358,2.0,360.0,1307,240000.0
 831 | 829,6,1855,2.0,512.0,1094,187000.0
 832 | 830,6,848,2.0,420.0,848,131500.0
 833 | 831,8,1456,2.0,400.0,1456,215000.0
 834 | 832,7,1646,1.0,240.0,918,164000.0
 835 | 833,6,1445,2.0,645.0,1445,158000.0
 836 | 834,5,1779,2.0,454.0,1779,170000.0
 837 | 835,5,1040,1.0,260.0,1040,127000.0
 838 | 836,6,1026,2.0,576.0,1026,147000.0
 839 | 837,6,1481,2.0,343.0,702,174000.0
 840 | 838,7,1370,2.0,479.0,1370,152000.0
 841 | 839,6,2654,2.0,619.0,1512,250000.0
 842 | 840,7,1426,1.0,216.0,912,189950.0
 843 | 841,5,1039,2.0,504.0,1039,131500.0
 844 | 842,6,1097,2.0,480.0,1097,152000.0
 845 | 843,5,1148,1.0,672.0,1148,132500.0
 846 | 844,7,1372,2.0,529.0,1372,250580.0
 847 | 845,5,1002,2.0,902.0,1002,148500.0
 848 | 846,8,1646,3.0,870.0,1646,248900.0
 849 | 847,4,1120,2.0,544.0,1120,129000.0
 850 | 848,7,1949,2.0,574.0,1062,236000.0
 851 | 849,5,894,1.0,308.0,894,109500.0
 852 | 850,6,1682,2.0,523.0,804,200500.0
 853 | 851,5,910,2.0,414.0,910,116000.0
 854 | 852,5,1268,1.0,288.0,1036,133000.0
 855 | 853,5,1131,1.0,200.0,676,66500.0
 856 | 854,8,2610,2.0,550.0,1184,303477.0
 857 | 855,4,1040,2.0,648.0,1040,132250.0
 858 | 856,9,2224,3.0,738.0,1462,350000.0
 859 | 857,5,1155,2.0,576.0,1155,148000.0
 860 | 858,5,864,1.0,336.0,864,136500.0
 861 | 859,5,1090,2.0,450.0,1090,157000.0
 862 | 860,7,1717,2.0,400.0,1187,187500.0
 863 | 861,6,1593,2.0,389.0,808,178000.0
 864 | 862,4,2230,1.0,440.0,954,118500.0
 865 | 863,5,892,1.0,288.0,892,100000.0
 866 | 864,9,1709,2.0,506.0,1709,328900.0
 867 | 865,5,1712,2.0,588.0,1712,145000.0
 868 | 866,5,1393,1.0,300.0,872,135500.0
 869 | 867,8,2217,2.0,621.0,2217,268000.0
 870 | 868,6,1505,2.0,505.0,1505,149500.0
 871 | 869,5,924,2.0,576.0,672,122900.0
 872 | 870,6,1683,2.0,440.0,918,172500.0
 873 | 871,6,1068,1.0,264.0,1068,154500.0
 874 | 872,5,1383,1.0,354.0,1383,165000.0
 875 | 873,6,1796,2.0,483.0,983,140000.0
 876 | 874,4,951,1.0,327.0,951,106500.0
 877 | 875,9,2364,3.0,820.0,2364,611657.0
 878 | 876,5,1236,1.0,288.0,1236,135000.0
 879 | 877,4,858,1.0,684.0,858,110000.0
 880 | 878,5,1306,1.0,756.0,1306,153000.0
 881 | 879,7,1509,2.0,393.0,807,180000.0
 882 | 880,7,1670,3.0,690.0,1670,240000.0
 883 | 881,5,902,1.0,288.0,902,125500.0
 884 | 882,5,1063,1.0,280.0,1063,128000.0
 885 | 883,8,1636,3.0,865.0,1636,255000.0
 886 | 884,7,2057,1.0,180.0,1020,250000.0
 887 | 885,5,902,2.0,484.0,902,131000.0
 888 | 886,6,1484,2.0,390.0,742,174000.0
 889 | 887,5,2274,2.0,480.0,1105,154300.0
 890 | 888,5,1268,1.0,252.0,1268,143500.0
 891 | 889,5,1015,1.0,450.0,1015,88000.0
 892 | 890,5,2002,3.0,871.0,1001,145000.0
 893 | 891,6,1224,2.0,528.0,612,173733.0
 894 | 892,4,1092,1.0,286.0,546,75000.0
 895 | 893,2,480,1.0,308.0,480,35311.0
 896 | 894,4,1229,1.0,284.0,1229,135000.0
 897 | 895,7,2127,3.0,833.0,912,238000.0
 898 | 896,6,1414,2.0,601.0,1414,176500.0
 899 | 897,6,1721,2.0,471.0,936,201000.0
 900 | 898,5,2200,0.0,0.0,1272,145900.0
 901 | 899,6,1316,2.0,397.0,1316,169990.0
 902 | 900,6,1617,2.0,533.0,1617,193000.0
 903 | 901,6,1686,2.0,612.0,1686,207500.0
 904 | 902,5,1126,2.0,540.0,1126,175000.0
 905 | 903,8,2374,3.0,656.0,1234,285000.0
 906 | 904,7,1978,2.0,486.0,1098,176000.0
 907 | 905,8,1788,2.0,522.0,1788,236500.0
 908 | 906,7,2236,2.0,642.0,993,222000.0
 909 | 907,8,1466,3.0,610.0,1466,201000.0
 910 | 908,5,925,1.0,429.0,925,117500.0
 911 | 909,9,1905,3.0,788.0,1905,320000.0
 912 | 910,7,1500,2.0,570.0,1500,190000.0
 913 | 911,7,2069,2.0,505.0,2069,242000.0
 914 | 912,4,747,2.0,528.0,747,79900.0
 915 | 913,7,1200,2.0,555.0,1200,184900.0
 916 | 914,7,1971,2.0,689.0,1113,253000.0
 917 | 915,7,1962,3.0,868.0,1391,239799.0
 918 | 916,7,2403,1.0,349.0,1207,244400.0
 919 | 917,6,1728,2.0,574.0,1728,150900.0
 920 | 918,7,2060,2.0,390.0,1022,214000.0
 921 | 919,4,1440,0.0,0.0,1440,150000.0
 922 | 920,5,1632,2.0,576.0,1632,143000.0
 923 | 921,6,1344,2.0,525.0,1344,137500.0
 924 | 922,5,1869,2.0,456.0,1188,124900.0
 925 | 923,5,1144,1.0,796.0,1144,143000.0
 926 | 924,8,1629,3.0,808.0,1629,270000.0
 927 | 925,7,1776,2.0,474.0,936,192500.0
 928 | 926,6,1381,2.0,676.0,1381,197500.0
 929 | 927,5,864,2.0,720.0,864,129000.0
 930 | 928,5,965,1.0,300.0,965,119900.0
 931 | 929,5,768,1.0,396.0,768,133900.0
 932 | 930,5,1968,2.0,530.0,1168,172000.0
 933 | 931,6,980,0.0,0.0,980,127500.0
 934 | 932,6,1958,2.0,492.0,979,145000.0
 935 | 933,6,1229,2.0,462.0,561,124000.0
 936 | 934,5,1057,2.0,576.0,1057,132000.0
 937 | 935,7,1337,2.0,531.0,1337,185000.0
 938 | 936,7,1416,2.0,484.0,696,155000.0
 939 | 937,5,858,0.0,0.0,858,116500.0
 940 | 938,6,2872,2.0,619.0,1542,272000.0
 941 | 939,6,1548,2.0,440.0,804,155000.0
 942 | 940,9,1800,2.0,702.0,1800,239000.0
 943 | 941,7,1894,2.0,510.0,824,214900.0
 944 | 942,6,1484,2.0,393.0,783,178900.0
 945 | 943,5,1308,1.0,256.0,976,160000.0
 946 | 944,5,1098,1.0,260.0,1098,135000.0
 947 | 945,3,968,0.0,0.0,600,37900.0
 948 | 946,6,1095,1.0,264.0,1095,140000.0
 949 | 947,4,1192,0.0,0.0,720,135000.0
 950 | 948,7,1626,2.0,474.0,764,173000.0
 951 | 949,6,918,1.0,264.0,918,99500.0
 952 | 950,7,1428,2.0,480.0,1428,182000.0
 953 | 951,7,2019,2.0,532.0,1136,167500.0
 954 | 952,7,1382,2.0,490.0,673,165000.0
 955 | 953,4,869,0.0,0.0,869,85500.0
 956 | 954,7,1241,2.0,569.0,1241,199900.0
 957 | 955,4,894,2.0,400.0,894,110000.0
 958 | 956,5,1121,2.0,480.0,1121,139000.0
 959 | 957,7,999,2.0,588.0,999,178400.0
 960 | 958,8,2612,3.0,676.0,1276,336000.0
 961 | 959,7,1266,2.0,388.0,1266,159895.0
 962 | 960,8,2290,2.0,779.0,1149,255900.0
 963 | 961,5,1164,1.0,240.0,1164,125000.0
 964 | 962,6,1635,1.0,255.0,1001,117000.0
 965 | 963,9,1940,3.0,606.0,1940,395192.0
 966 | 964,6,2030,2.0,551.0,1118,195000.0
 967 | 965,7,1576,2.0,614.0,778,197000.0
 968 | 966,8,2392,3.0,870.0,1407,348000.0
 969 | 967,8,1742,2.0,424.0,916,168000.0
 970 | 968,6,1851,2.0,440.0,1020,187000.0
 971 | 969,6,1500,2.0,564.0,750,173900.0
 972 | 970,10,1718,3.0,786.0,1718,337500.0
 973 | 971,4,1230,1.0,305.0,774,121600.0
 974 | 972,5,1050,1.0,368.0,1050,136500.0
 975 | 973,6,1442,2.0,615.0,1442,185000.0
 976 | 974,3,1077,1.0,210.0,1077,91000.0
 977 | 975,7,1208,2.0,632.0,1208,206000.0
 978 | 976,5,691,1.0,216.0,691,86000.0
 979 | 977,8,1574,3.0,824.0,1574,232000.0
 980 | 978,5,1680,2.0,528.0,1680,136905.0
 981 | 979,7,1504,2.0,457.0,1504,181000.0
 982 | 980,5,985,1.0,328.0,985,149900.0
 983 | 981,6,1657,2.0,484.0,1657,163500.0
 984 | 982,4,1092,1.0,286.0,546,88000.0
 985 | 983,7,1710,2.0,550.0,1710,240000.0
 986 | 984,5,1522,0.0,0.0,1008,102000.0
 987 | 985,5,1271,1.0,312.0,720,135000.0
 988 | 986,6,1502,1.0,180.0,900,165000.0
 989 | 987,5,1022,1.0,280.0,1022,85000.0
 990 | 988,6,1082,1.0,240.0,1082,119200.0
 991 | 989,8,1665,2.0,528.0,810,227000.0
 992 | 990,7,1504,2.0,478.0,1504,203000.0
 993 | 991,8,1360,2.0,565.0,1360,187500.0
 994 | 992,7,1472,2.0,402.0,802,160000.0
 995 | 993,7,1506,2.0,440.0,1506,213490.0
 996 | 994,4,1132,2.0,451.0,1132,176000.0
 997 | 995,7,1220,2.0,632.0,1220,194000.0
 998 | 996,5,1248,1.0,160.0,912,87000.0
 999 | 997,7,1504,2.0,437.0,1504,191000.0
1000 | 998,8,2898,2.0,665.0,2898,287000.0
1001 | 999,5,882,2.0,461.0,882,112500.0
1002 | 1000,5,1264,2.0,461.0,1264,167500.0
1003 | 1001,8,1646,3.0,800.0,1646,293077.0
1004 | 1002,5,1376,1.0,240.0,968,105000.0
1005 | 1003,6,1218,1.0,264.0,672,118000.0
1006 | 1004,5,1928,0.0,0.0,948,160000.0
1007 | 1005,7,3082,2.0,672.0,1687,197000.0
1008 | 1006,8,2520,3.0,796.0,1352,310000.0
1009 | 1007,7,1654,3.0,900.0,1654,230000.0
1010 | 1008,5,954,1.0,240.0,954,119750.0
1011 | 1009,9,1620,3.0,912.0,1620,315500.0
1012 | 1010,8,2263,2.0,905.0,1055,287000.0
1013 | 1011,4,1344,0.0,0.0,798,97000.0
1014 | 1012,4,630,1.0,286.0,630,80000.0
1015 | 1013,5,1803,2.0,484.0,1803,155000.0
1016 | 1014,6,1632,2.0,484.0,800,173000.0
1017 | 1015,6,1306,2.0,624.0,1306,196000.0
1018 | 1016,7,2329,2.0,514.0,1532,262280.0
1019 | 1017,8,2524,2.0,542.0,2524,278000.0
1020 | 1018,9,2868,3.0,716.0,1992,556581.0
1021 | 1019,5,990,2.0,672.0,990,145000.0
1022 | 1020,7,1302,2.0,436.0,1302,176485.0
1023 | 1021,7,1316,2.0,440.0,1316,200141.0
1024 | 1022,6,1977,2.0,540.0,1127,165000.0
1025 | 1023,5,1526,1.0,364.0,1526,144500.0
1026 | 1024,8,1989,2.0,586.0,1091,255000.0
1027 | 1025,6,1523,2.0,478.0,1523,180000.0
1028 | 1026,7,1364,2.0,484.0,1364,185850.0
1029 | 1027,7,1850,2.0,467.0,979,248000.0
1030 | 1028,9,2184,3.0,836.0,1130,335000.0
1031 | 1029,6,1991,2.0,432.0,1096,220000.0
1032 | 1030,8,1338,2.0,582.0,1338,213500.0
1033 | 1031,3,894,3.0,1248.0,894,81000.0
1034 | 1032,5,2337,2.0,560.0,1422,90000.0
1035 | 1033,6,1103,2.0,440.0,1103,110500.0
1036 | 1034,5,1154,2.0,480.0,1154,154000.0
1037 | 1035,7,2260,2.0,533.0,1306,328000.0
1038 | 1036,6,1571,2.0,380.0,799,178000.0
1039 | 1037,6,1611,2.0,442.0,798,167900.0
1040 | 1038,6,2521,2.0,576.0,1291,151400.0
1041 | 1039,5,893,2.0,576.0,893,135000.0
1042 | 1040,5,1048,1.0,286.0,1048,135000.0
1043 | 1041,6,1556,2.0,441.0,829,154000.0
1044 | 1042,5,1456,1.0,280.0,1002,91500.0
1045 | 1043,6,1426,2.0,440.0,698,159500.0
1046 | 1044,7,1240,3.0,826.0,1240,194000.0
1047 | 1045,7,1740,1.0,240.0,960,219500.0
1048 | 1046,5,1466,2.0,566.0,1096,170000.0
1049 | 1047,5,1096,1.0,299.0,1096,138800.0
1050 | 1048,6,848,2.0,420.0,848,155900.0
1051 | 1049,5,990,1.0,299.0,990,126000.0
1052 | 1050,6,1258,2.0,528.0,1258,145000.0
1053 | 1051,5,1040,1.0,308.0,1040,133000.0
1054 | 1052,7,1459,2.0,527.0,1459,192000.0
1055 | 1053,6,1251,1.0,461.0,1251,160000.0
1056 | 1054,6,1498,2.0,409.0,691,187500.0
1057 | 1055,6,996,2.0,564.0,996,147000.0
1058 | 1056,4,1092,1.0,286.0,546,83500.0
1059 | 1057,8,1953,3.0,1043.0,1082,252000.0
1060 | 1058,7,1709,2.0,380.0,970,137500.0
1061 | 1059,8,1247,2.0,550.0,1247,197000.0
1062 | 1060,7,1252,2.0,462.0,624,160000.0
1063 | 1061,6,1694,2.0,576.0,1390,136500.0
1064 | 1062,5,1200,2.0,884.0,1200,146000.0
1065 | 1063,5,936,1.0,308.0,936,129000.0
1066 | 1064,6,1314,2.0,440.0,1314,176432.0
1067 | 1065,6,1355,0.0,0.0,773,127000.0
1068 | 1066,8,1088,2.0,461.0,1088,170000.0
1069 | 1067,4,1324,1.0,240.0,757,128000.0
1070 | 1068,7,1601,2.0,478.0,1601,157000.0
1071 | 1069,2,438,1.0,246.0,438,60000.0
1072 | 1070,5,950,1.0,280.0,950,119500.0
1073 | 1071,5,1134,1.0,254.0,1134,135000.0
1074 | 1072,6,1194,2.0,539.0,1194,159500.0
1075 | 1073,5,1302,2.0,440.0,630,106000.0
1076 | 1074,8,2622,2.0,712.0,1500,325000.0
1077 | 1075,7,1442,2.0,719.0,1442,179900.0
1078 | 1076,7,2021,2.0,422.0,887,274725.0
1079 | 1077,6,1690,2.0,463.0,948,181000.0
1080 | 1078,8,1836,3.0,862.0,1836,280000.0
1081 | 1079,6,1658,2.0,431.0,773,188000.0
1082 | 1080,7,1964,2.0,483.0,1098,205000.0
1083 | 1081,5,816,1.0,308.0,816,129900.0
1084 | 1082,5,1008,1.0,240.0,1008,134500.0
1085 | 1083,5,833,1.0,326.0,833,117000.0
1086 | 1084,8,1734,3.0,928.0,1734,318000.0
1087 | 1085,8,1419,2.0,527.0,779,184100.0
1088 | 1086,5,894,2.0,450.0,894,130000.0
1089 | 1087,5,1601,1.0,300.0,1021,140000.0
1090 | 1088,5,1040,1.0,286.0,1040,133700.0
1091 | 1089,6,1012,1.0,308.0,1012,118400.0
1092 | 1090,7,1552,3.0,782.0,1552,212900.0
1093 | 1091,4,960,1.0,288.0,960,112000.0
1094 | 1092,5,698,0.0,0.0,698,118000.0
1095 | 1093,7,1482,2.0,392.0,812,163900.0
1096 | 1094,4,1005,2.0,672.0,1005,115000.0
1097 | 1095,7,1555,3.0,660.0,1555,174000.0
1098 | 1096,7,1530,3.0,630.0,1530,259000.0
1099 | 1097,7,1959,2.0,434.0,847,215000.0
1100 | 1098,5,936,2.0,672.0,936,140000.0
1101 | 1099,4,1981,2.0,576.0,1328,135000.0
1102 | 1100,5,974,0.0,0.0,974,93500.0
1103 | 1101,6,2210,1.0,205.0,1178,117500.0
1104 | 1102,8,2020,2.0,466.0,1142,239500.0
1105 | 1103,6,1600,2.0,460.0,916,169000.0
1106 | 1104,6,986,1.0,180.0,986,102000.0
1107 | 1105,6,1252,1.0,288.0,1032,119000.0
1108 | 1106,5,1020,0.0,0.0,780,94000.0
1109 | 1107,6,1567,2.0,714.0,1567,196000.0
1110 | 1108,5,1167,2.0,495.0,1167,144000.0
1111 | 1109,5,952,2.0,840.0,952,139000.0
1112 | 1110,5,1868,2.0,484.0,1088,197500.0
1113 | 1111,8,2828,3.0,1052.0,1466,424870.0
1114 | 1112,5,1006,0.0,0.0,1006,80000.0
1115 | 1113,4,924,1.0,280.0,672,80000.0
1116 | 1114,5,1576,1.0,225.0,1042,149000.0
1117 | 1115,6,1298,2.0,403.0,1298,180000.0
1118 | 1116,7,1564,1.0,234.0,860,174500.0
1119 | 1117,7,1111,1.0,288.0,572,116900.0
1120 | 1118,7,1482,2.0,324.0,832,143000.0
1121 | 1119,6,932,1.0,306.0,932,124000.0
1122 | 1120,5,1466,2.0,528.0,1466,149900.0
1123 | 1121,6,1811,2.0,470.0,1811,230000.0
1124 | 1122,6,816,1.0,432.0,816,120500.0
1125 | 1123,7,1820,2.0,492.0,902,201800.0
1126 | 1124,5,1437,2.0,528.0,1437,218000.0
1127 | 1125,5,1265,2.0,502.0,1265,179900.0
1128 | 1126,7,1314,2.0,626.0,1314,230000.0
1129 | 1127,8,1580,3.0,830.0,1580,235128.0
1130 | 1128,6,1876,2.0,540.0,943,185000.0
1131 | 1129,6,1456,2.0,440.0,855,146000.0
1132 | 1130,6,1640,2.0,924.0,1640,224000.0
1133 | 1131,5,894,2.0,450.0,894,129000.0
1134 | 1132,4,1258,2.0,400.0,1258,108959.0
1135 | 1133,5,1432,2.0,588.0,1432,194000.0
1136 | 1134,7,1502,2.0,644.0,1502,233170.0
1137 | 1135,8,1694,3.0,776.0,1694,245350.0
1138 | 1136,6,1671,2.0,472.0,959,173000.0
1139 | 1137,6,2108,2.0,540.0,1236,235000.0
1140 | 1138,10,3627,3.0,807.0,1831,625000.0
1141 | 1139,6,1118,1.0,358.0,1118,171000.0
1142 | 1140,6,1261,2.0,433.0,1261,163000.0
1143 | 1141,7,1250,2.0,625.0,625,171900.0
1144 | 1142,5,3086,0.0,0.0,1636,200500.0
1145 | 1143,6,2345,2.0,360.0,1170,239000.0
1146 | 1144,8,2872,2.0,541.0,2129,285000.0
1147 | 1145,5,923,1.0,264.0,923,119500.0
1148 | 1146,6,1224,1.0,210.0,818,115000.0
1149 | 1147,5,1343,1.0,186.0,820,154900.0
1150 | 1148,7,2514,2.0,693.0,1298,250000.0
1151 | 1149,8,1652,2.0,482.0,1652,392500.0
1152 | 1150,10,4476,3.0,813.0,2411,745000.0
1153 | 1151,5,1130,2.0,720.0,1130,120000.0
1154 | 1152,5,1572,3.0,995.0,1572,186700.0
1155 | 1153,5,1221,1.0,392.0,949,104900.0
1156 | 1154,3,1699,2.0,420.0,1014,95000.0
1157 | 1155,8,1624,3.0,757.0,1624,262000.0
1158 | 1156,7,1660,2.0,493.0,831,195000.0
1159 | 1157,7,1804,2.0,442.0,1028,189000.0
1160 | 1158,4,1622,4.0,1356.0,1622,168000.0
1161 | 1159,8,1441,2.0,492.0,764,174000.0
1162 | 1160,5,1472,1.0,250.0,842,125000.0
1163 | 1161,6,1224,2.0,402.0,1224,165000.0
1164 | 1162,6,1352,1.0,299.0,663,158000.0
1165 | 1163,6,1456,2.0,400.0,728,176000.0
1166 | 1164,7,1863,3.0,660.0,879,219210.0
1167 | 1165,7,1690,1.0,225.0,815,144000.0
1168 | 1166,7,1212,2.0,573.0,1212,178000.0
1169 | 1167,4,1382,2.0,459.0,1382,148000.0
1170 | 1168,4,864,1.0,280.0,864,116050.0
1171 | 1169,7,1779,2.0,546.0,866,197900.0
1172 | 1170,5,1348,1.0,216.0,884,117000.0
1173 | 1171,7,1630,2.0,451.0,1630,213000.0
1174 | 1172,5,1074,2.0,495.0,1074,153500.0
1175 | 1173,7,2196,3.0,701.0,2196,271900.0
1176 | 1174,4,1056,1.0,384.0,1056,107000.0
1177 | 1175,6,1700,2.0,544.0,1700,200000.0
1178 | 1176,5,1283,2.0,506.0,1283,140000.0
1179 | 1177,8,1660,2.0,500.0,1660,290000.0
1180 | 1178,6,1845,2.0,462.0,1055,189000.0
1181 | 1179,8,1752,2.0,492.0,1080,164000.0
1182 | 1180,4,672,1.0,234.0,672,113000.0
1183 | 1181,4,960,1.0,364.0,960,145000.0
1184 | 1182,5,999,1.0,300.0,999,134500.0
1185 | 1183,5,894,1.0,384.0,894,125000.0
1186 | 1184,8,1314,2.0,552.0,1314,229456.0
1187 | 1185,6,1218,0.0,0.0,672,91500.0
1188 | 1186,5,912,1.0,288.0,912,115000.0
1189 | 1187,5,1211,1.0,322.0,1211,134000.0
1190 | 1188,6,1846,1.0,315.0,1168,143000.0
1191 | 1189,5,2136,2.0,528.0,2136,137900.0
1192 | 1190,7,1490,2.0,388.0,788,184000.0
1193 | 1191,6,1138,1.0,264.0,1138,145000.0
1194 | 1192,6,1933,3.0,668.0,894,214000.0
1195 | 1193,5,912,2.0,576.0,912,147000.0
1196 | 1194,9,1702,3.0,1052.0,1702,367294.0
1197 | 1195,5,1507,1.0,404.0,1507,127000.0
1198 | 1196,5,2620,2.0,600.0,1361,190000.0
1199 | 1197,5,1190,2.0,540.0,1190,132500.0
1200 | 1198,5,1188,2.0,531.0,1188,142000.0
1201 | 1199,5,1964,0.0,0.0,1024,130000.0
1202 | 1200,5,1784,1.0,180.0,892,138887.0
1203 | 1201,7,1626,2.0,474.0,764,175500.0
1204 | 1202,7,1948,2.0,434.0,847,195000.0
1205 | 1203,6,1141,2.0,484.0,1141,142500.0
1206 | 1204,8,1484,2.0,472.0,1484,265900.0
1207 | 1205,7,1768,2.0,543.0,884,224900.0
1208 | 1206,7,1689,3.0,954.0,1689,248328.0
1209 | 1207,7,1173,2.0,528.0,1173,170000.0
1210 | 1208,10,2076,3.0,850.0,2076,465000.0
1211 | 1209,8,1517,2.0,400.0,792,230000.0
1212 | 1210,6,1868,2.0,477.0,1140,178000.0
1213 | 1211,7,1553,2.0,615.0,756,186500.0
1214 | 1212,6,1034,3.0,888.0,1034,169900.0
1215 | 1213,6,2058,2.0,396.0,1134,129500.0
1216 | 1214,5,988,1.0,276.0,988,119000.0
1217 | 1215,7,2110,2.0,522.0,2110,244000.0
1218 | 1216,7,1405,2.0,478.0,1405,171750.0
1219 | 1217,5,874,1.0,288.0,874,130000.0
1220 | 1218,7,2167,2.0,518.0,1516,294000.0
1221 | 1219,7,1656,2.0,397.0,760,165400.0
1222 | 1220,6,1367,1.0,560.0,959,127500.0
1223 | 1221,8,1987,2.0,691.0,1987,301500.0
1224 | 1222,5,864,0.0,0.0,864,99900.0
1225 | 1223,7,1166,2.0,400.0,1166,190000.0
1226 | 1224,6,1054,2.0,460.0,1054,151000.0
1227 | 1225,6,1675,2.0,502.0,892,181000.0
1228 | 1226,5,1050,1.0,338.0,1050,128900.0
1229 | 1227,4,1788,1.0,304.0,1104,161500.0
1230 | 1228,6,1824,2.0,520.0,1060,180500.0
1231 | 1229,6,1337,2.0,511.0,1337,181000.0
1232 | 1230,7,1452,2.0,506.0,713,183900.0
1233 | 1231,7,1889,1.0,308.0,964,122000.0
1234 | 1232,9,2018,3.0,746.0,2018,378500.0
1235 | 1233,8,3447,3.0,1014.0,1968,381000.0
1236 | 1234,5,1524,1.0,315.0,874,144000.0
1237 | 1235,7,1524,2.0,586.0,1332,260000.0
1238 | 1236,6,1489,2.0,462.0,1489,185750.0
1239 | 1237,5,935,1.0,288.0,935,137000.0
1240 | 1238,6,1357,1.0,312.0,1357,177000.0
1241 | 1239,5,1250,2.0,552.0,661,139000.0
1242 | 1240,5,1920,2.0,400.0,928,137000.0
1243 | 1241,6,1395,2.0,497.0,735,162000.0
1244 | 1242,6,1724,2.0,480.0,1724,197900.0
1245 | 1243,8,2031,2.0,577.0,1128,237000.0
1246 | 1244,4,1128,2.0,528.0,698,68400.0
1247 | 1245,7,1573,2.0,544.0,1573,227000.0
1248 | 1246,7,1339,2.0,484.0,1339,180000.0
1249 | 1247,5,1040,2.0,484.0,1040,150500.0
1250 | 1248,6,1824,0.0,0.0,912,139000.0
1251 | 1249,6,2447,1.0,336.0,1699,169000.0
1252 | 1250,6,1412,1.0,280.0,825,132500.0
1253 | 1251,6,1328,2.0,528.0,1328,143000.0
1254 | 1252,5,1582,2.0,390.0,1582,190000.0
1255 | 1253,8,1659,2.0,499.0,1659,278000.0
1256 | 1254,8,1970,3.0,753.0,1120,281000.0
1257 | 1255,5,1152,2.0,484.0,1152,180500.0
1258 | 1256,5,1302,1.0,264.0,630,119500.0
1259 | 1257,5,2372,1.0,432.0,1378,107500.0
1260 | 1258,7,1664,2.0,528.0,832,162900.0
1261 | 1259,5,864,2.0,572.0,864,115000.0
1262 | 1260,5,1052,1.0,288.0,1052,138500.0
1263 | 1261,5,1128,2.0,525.0,1128,155000.0
1264 | 1262,6,1072,2.0,525.0,1072,140000.0
1265 | 1263,10,5642,2.0,1418.0,4692,160000.0
1266 | 1264,5,1246,1.0,305.0,1246,154000.0
1267 | 1265,7,1983,2.0,490.0,1005,225000.0
1268 | 1266,6,1494,1.0,213.0,753,177500.0
1269 | 1267,8,2526,3.0,844.0,1203,290000.0
1270 | 1268,7,1616,3.0,834.0,1616,232000.0
1271 | 1269,7,1708,2.0,380.0,976,130000.0
1272 | 1270,9,1652,2.0,840.0,1652,325000.0
1273 | 1271,7,1368,2.0,474.0,1368,202500.0
1274 | 1272,5,990,2.0,480.0,990,138000.0
1275 | 1273,5,1122,2.0,528.0,1122,147000.0
1276 | 1274,6,1294,2.0,496.0,1294,179200.0
1277 | 1275,7,1902,2.0,567.0,1902,335000.0
1278 | 1276,7,1274,2.0,508.0,1274,203000.0
1279 | 1277,8,2810,2.0,750.0,1453,302000.0
1280 | 1278,9,2599,3.0,779.0,1422,333168.0
1281 | 1279,4,948,1.0,280.0,948,119000.0
1282 | 1280,6,2112,2.0,576.0,1092,206900.0
1283 | 1281,8,1630,3.0,860.0,1630,295493.0
1284 | 1282,7,1352,2.0,466.0,1352,208900.0
1285 | 1283,8,1787,3.0,748.0,1787,275000.0
1286 | 1284,4,948,1.0,248.0,948,111000.0
1287 | 1285,6,1478,2.0,442.0,1478,156500.0
1288 | 1286,7,1923,2.0,564.0,1061,190000.0
1289 | 1287,4,708,0.0,0.0,708,82500.0
1290 | 1288,8,1795,3.0,895.0,1795,147000.0
1291 | 1289,4,796,0.0,0.0,796,55000.0
1292 | 1290,3,774,0.0,0.0,774,79000.0
1293 | 1291,5,816,1.0,264.0,816,130500.0
1294 | 1292,6,2792,2.0,520.0,1584,256000.0
1295 | 1293,7,1632,2.0,462.0,955,176500.0
1296 | 1294,8,1588,3.0,825.0,1588,227000.0
1297 | 1295,5,954,2.0,576.0,954,132500.0
1298 | 1296,4,816,1.0,288.0,816,100000.0
1299 | 1297,5,1360,1.0,297.0,803,125500.0
1300 | 1298,5,1365,2.0,440.0,765,125000.0
1301 | 1299,6,1334,2.0,630.0,1334,167900.0
1302 | 1300,5,1656,2.0,506.0,1656,135000.0
1303 | 1301,4,693,0.0,0.0,693,52500.0
1304 | 1302,7,1861,2.0,492.0,920,200000.0
1305 | 1303,5,864,1.0,288.0,864,128500.0
1306 | 1304,4,872,4.0,480.0,872,123000.0
1307 | 1305,6,1114,2.0,576.0,1114,155000.0
1308 | 1306,8,2169,2.0,647.0,1284,228500.0
1309 | 1307,6,1913,2.0,342.0,1172,177000.0
1310 | 1308,7,1456,2.0,440.0,728,155835.0
1311 | 1309,4,960,1.0,308.0,960,108500.0
1312 | 1310,7,2156,2.0,508.0,2156,262500.0
1313 | 1311,8,1776,3.0,712.0,1776,283463.0
1314 | 1312,7,1494,2.0,514.0,1494,215000.0
1315 | 1313,8,2358,0.0,0.0,938,122000.0
1316 | 1314,5,2634,4.0,968.0,1338,200000.0
1317 | 1315,6,1716,2.0,490.0,858,171000.0
1318 | 1316,6,1176,2.0,624.0,786,134900.0
1319 | 1317,8,3238,3.0,666.0,2053,410000.0
1320 | 1318,7,1865,3.0,839.0,992,235000.0
1321 | 1319,7,1920,2.0,487.0,1222,170000.0
1322 | 1320,5,892,1.0,264.0,892,110000.0
1323 | 1321,5,1078,2.0,500.0,1078,149900.0
1324 | 1322,6,1573,2.0,440.0,769,177500.0
1325 | 1323,9,1980,3.0,770.0,1980,315000.0
1326 | 1324,5,2601,2.0,621.0,990,189000.0
1327 | 1325,7,1530,2.0,430.0,1530,260000.0
1328 | 1326,4,1738,1.0,368.0,1281,104900.0
1329 | 1327,6,1412,2.0,432.0,616,156932.0
1330 | 1328,7,1200,2.0,480.0,520,144152.0
1331 | 1329,7,1674,2.0,663.0,814,216000.0
1332 | 1330,7,1790,2.0,588.0,882,193000.0
1333 | 1331,5,1475,1.0,336.0,925,127000.0
1334 | 1332,6,848,2.0,420.0,848,144000.0
1335 | 1333,8,1668,2.0,502.0,1668,232000.0
1336 | 1334,4,1374,1.0,338.0,840,105000.0
1337 | 1335,6,1661,1.0,377.0,1661,165500.0
1338 | 1336,7,2097,2.0,583.0,1108,274300.0
1339 | 1337,10,2633,3.0,804.0,2633,466500.0
1340 | 1338,7,1958,3.0,936.0,1026,250000.0
1341 | 1339,8,1571,3.0,722.0,1571,239000.0
1342 | 1340,6,790,1.0,160.0,790,91000.0
1343 | 1341,5,1604,2.0,660.0,984,117000.0
1344 | 1342,6,987,1.0,264.0,483,83000.0
1345 | 1343,3,864,1.0,200.0,864,58500.0
1346 | 1344,6,2117,2.0,550.0,2117,237500.0
1347 | 1345,7,1762,2.0,576.0,998,157000.0
1348 | 1346,5,1416,2.0,576.0,1416,112000.0
1349 | 1347,6,1258,1.0,280.0,698,105000.0
1350 | 1348,4,1154,1.0,240.0,796,125500.0
1351 | 1349,7,2784,2.0,564.0,1392,250000.0
1352 | 1350,6,2526,1.0,216.0,1664,136000.0
1353 | 1351,9,1746,3.0,758.0,1746,377500.0
1354 | 1352,6,1218,2.0,440.0,869,131000.0
1355 | 1353,7,1525,2.0,541.0,1525,235000.0
1356 | 1354,5,1584,3.0,792.0,1584,124000.0
1357 | 1355,5,900,1.0,288.0,900,123000.0
1358 | 1356,6,1912,2.0,672.0,1221,163000.0
1359 | 1357,7,1500,3.0,648.0,1500,246578.0
1360 | 1358,8,2482,3.0,642.0,1133,281213.0
1361 | 1359,5,1687,2.0,572.0,1687,160000.0
1362 | 1360,5,1513,1.0,180.0,939,137500.0
1363 | 1361,5,1904,1.0,240.0,1136,138000.0
1364 | 1362,6,1608,1.0,216.0,1160,137450.0
1365 | 1363,6,1158,1.0,208.0,950,120000.0
1366 | 1364,6,1593,2.0,398.0,864,193000.0
1367 | 1365,7,1294,2.0,662.0,1294,193879.0
1368 | 1366,8,1464,3.0,754.0,1464,282922.0
1369 | 1367,3,1214,3.0,936.0,694,105000.0
1370 | 1368,8,1646,2.0,482.0,1646,275000.0
1371 | 1369,5,768,2.0,396.0,768,133000.0
1372 | 1370,5,833,0.0,0.0,833,112000.0
1373 | 1371,4,1363,2.0,528.0,741,125500.0
1374 | 1372,7,2093,2.0,542.0,1236,215000.0
1375 | 1373,7,1840,2.0,622.0,944,230000.0
1376 | 1374,6,1668,1.0,271.0,1112,140000.0
1377 | 1375,8,1844,2.0,620.0,1844,257000.0
1378 | 1376,6,1848,2.0,370.0,1053,207000.0
1379 | 1377,7,1569,3.0,660.0,1569,175900.0
1380 | 1378,4,2290,2.0,560.0,1246,122500.0
1381 | 1379,8,2450,3.0,1069.0,1310,340000.0
1382 | 1380,5,1144,1.0,336.0,1144,124000.0
1383 | 1381,6,1844,2.0,540.0,1844,223000.0
1384 | 1382,6,1416,2.0,776.0,708,179900.0
1385 | 1383,6,1069,2.0,440.0,1069,127500.0
1386 | 1384,6,848,2.0,420.0,848,136500.0
1387 | 1385,6,2201,2.0,432.0,1575,274970.0
1388 | 1386,5,1344,1.0,484.0,1344,144000.0
1389 | 1387,6,1252,2.0,528.0,1252,142000.0
1390 | 1388,7,2127,2.0,525.0,1223,271000.0
1391 | 1389,5,1558,1.0,288.0,1048,140000.0
1392 | 1390,5,804,1.0,240.0,804,119000.0
1393 | 1391,6,1440,2.0,467.0,1440,182900.0
1394 | 1392,5,1838,2.0,372.0,734,192140.0
1395 | 1393,6,958,2.0,440.0,958,143750.0
1396 | 1394,4,968,1.0,216.0,968,64500.0
1397 | 1395,6,1792,2.0,451.0,962,186500.0
1398 | 1396,5,1126,2.0,484.0,1126,160000.0
1399 | 1397,6,1537,2.0,462.0,1537,174000.0
1400 | 1398,4,864,2.0,528.0,864,120500.0
1401 | 1399,8,1932,3.0,774.0,1932,394617.0
1402 | 1400,6,1236,2.0,923.0,1236,149700.0
1403 | 1401,7,1725,2.0,550.0,1040,197000.0
1404 | 1402,6,2555,2.0,672.0,1423,191000.0
1405 | 1403,6,848,2.0,420.0,848,149300.0
1406 | 1404,10,2007,3.0,812.0,1026,310000.0
1407 | 1405,6,952,1.0,192.0,952,121000.0
1408 | 1406,7,1422,2.0,626.0,1422,179600.0
1409 | 1407,6,913,1.0,240.0,913,129000.0
1410 | 1408,5,1188,1.0,312.0,1188,157900.0
1411 | 1409,8,2090,2.0,556.0,1220,240000.0
1412 | 1410,4,1346,1.0,384.0,796,112000.0
1413 | 1411,5,630,0.0,0.0,630,92000.0
1414 | 1412,5,1792,0.0,0.0,896,136000.0
1415 | 1413,8,1578,3.0,840.0,1578,287090.0
1416 | 1414,5,1072,2.0,525.0,1072,145000.0
1417 | 1415,5,1140,0.0,0.0,1140,84500.0
1418 | 1416,7,1221,2.0,400.0,1221,185000.0
1419 | 1417,6,1647,2.0,460.0,953,175000.0
1420 | 1418,6,2073,2.0,500.0,2073,210000.0
1421 | 1419,7,2340,1.0,252.0,1188,266500.0
1422 | 1420,5,1078,1.0,240.0,1078,142125.0
1423 | 1421,5,1256,1.0,276.0,1256,147500.0
1424 | 


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/Python/house-Price-Prediction/finalized_model.pkl:
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https://raw.githubusercontent.com/shumbul/Hacktoberfest-Guide/70f3989c472e0e3f078e56025b3d5e62ca0c980c/Python/house-Price-Prediction/finalized_model.pkl


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/Python/house-Price-Prediction/house-prediction-test-data.ipynb:
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  1 | {
  2 |  "cells": [
  3 |   {
  4 |    "cell_type": "code",
  5 |    "execution_count": 1,
  6 |    "id": "feb83a2e",
  7 |    "metadata": {
  8 |     "_cell_guid": "b1076dfc-b9ad-4769-8c92-a6c4dae69d19",
  9 |     "_uuid": "8f2839f25d086af736a60e9eeb907d3b93b6e0e5",
 10 |     "execution": {
 11 |      "iopub.execute_input": "2022-08-10T18:47:18.800037Z",
 12 |      "iopub.status.busy": "2022-08-10T18:47:18.799182Z",
 13 |      "iopub.status.idle": "2022-08-10T18:47:18.815881Z",
 14 |      "shell.execute_reply": "2022-08-10T18:47:18.814737Z"
 15 |     },
 16 |     "papermill": {
 17 |      "duration": 0.028425,
 18 |      "end_time": "2022-08-10T18:47:18.818885",
 19 |      "exception": false,
 20 |      "start_time": "2022-08-10T18:47:18.790460",
 21 |      "status": "completed"
 22 |     },
 23 |     "tags": []
 24 |    },
 25 |    "outputs": [
 26 |     {
 27 |      "name": "stdout",
 28 |      "output_type": "stream",
 29 |      "text": [
 30 |       "/kaggle/input/house-prices-advanced-regression-techniques/sample_submission.csv\n",
 31 |       "/kaggle/input/house-prices-advanced-regression-techniques/data_description.txt\n",
 32 |       "/kaggle/input/house-prices-advanced-regression-techniques/train.csv\n",
 33 |       "/kaggle/input/house-prices-advanced-regression-techniques/test.csv\n"
 34 |      ]
 35 |     }
 36 |    ],
 37 |    "source": [
 38 |     "# This Python 3 environment comes with many helpful analytics libraries installed\n",
 39 |     "# It is defined by the kaggle/python Docker image: https://github.com/kaggle/docker-python\n",
 40 |     "# For example, here's several helpful packages to load\n",
 41 |     "\n",
 42 |     "import numpy as np # linear algebra\n",
 43 |     "import pandas as pd # data processing, CSV file I/O (e.g. pd.read_csv)\n",
 44 |     "\n",
 45 |     "# Input data files are available in the read-only \"../input/\" directory\n",
 46 |     "# For example, running this (by clicking run or pressing Shift+Enter) will list all files under the input directory\n",
 47 |     "\n",
 48 |     "import os\n",
 49 |     "for dirname, _, filenames in os.walk('/kaggle/input'):\n",
 50 |     "    for filename in filenames:\n",
 51 |     "        print(os.path.join(dirname, filename))\n",
 52 |     "\n",
 53 |     "# You can write up to 20GB to the current directory (/kaggle/working/) that gets preserved as output when you create a version using \"Save & Run All\" \n",
 54 |     "# You can also write temporary files to /kaggle/temp/, but they won't be saved outside of the current session"
 55 |    ]
 56 |   },
 57 |   {
 58 |    "cell_type": "code",
 59 |    "execution_count": 2,
 60 |    "id": "20e1902e",
 61 |    "metadata": {
 62 |     "execution": {
 63 |      "iopub.execute_input": "2022-08-10T18:47:18.829864Z",
 64 |      "iopub.status.busy": "2022-08-10T18:47:18.829169Z",
 65 |      "iopub.status.idle": "2022-08-10T18:47:19.914783Z",
 66 |      "shell.execute_reply": "2022-08-10T18:47:19.913299Z"
 67 |     },
 68 |     "papermill": {
 69 |      "duration": 1.094179,
 70 |      "end_time": "2022-08-10T18:47:19.917714",
 71 |      "exception": false,
 72 |      "start_time": "2022-08-10T18:47:18.823535",
 73 |      "status": "completed"
 74 |     },
 75 |     "tags": []
 76 |    },
 77 |    "outputs": [],
 78 |    "source": [
 79 |     "import numpy as np\n",
 80 |     "import pandas as pd\n",
 81 |     "import matplotlib.pyplot as plt\n",
 82 |     "import seaborn as sns"
 83 |    ]
 84 |   },
 85 |   {
 86 |    "cell_type": "code",
 87 |    "execution_count": 3,
 88 |    "id": "6207ecc0",
 89 |    "metadata": {
 90 |     "execution": {
 91 |      "iopub.execute_input": "2022-08-10T18:47:19.928398Z",
 92 |      "iopub.status.busy": "2022-08-10T18:47:19.927999Z",
 93 |      "iopub.status.idle": "2022-08-10T18:47:19.971210Z",
 94 |      "shell.execute_reply": "2022-08-10T18:47:19.970095Z"
 95 |     },
 96 |     "papermill": {
 97 |      "duration": 0.051757,
 98 |      "end_time": "2022-08-10T18:47:19.973993",
 99 |      "exception": false,
100 |      "start_time": "2022-08-10T18:47:19.922236",
101 |      "status": "completed"
102 |     },
103 |     "tags": []
104 |    },
105 |    "outputs": [],
106 |    "source": [
107 |     "test_df = pd.read_csv('../input/house-prices-advanced-regression-techniques/test.csv')"
108 |    ]
109 |   },
110 |   {
111 |    "cell_type": "code",
112 |    "execution_count": 4,
113 |    "id": "71f42872",
114 |    "metadata": {
115 |     "execution": {
116 |      "iopub.execute_input": "2022-08-10T18:47:19.984741Z",
117 |      "iopub.status.busy": "2022-08-10T18:47:19.984339Z",
118 |      "iopub.status.idle": "2022-08-10T18:47:19.993841Z",
119 |      "shell.execute_reply": "2022-08-10T18:47:19.992492Z"
120 |     },
121 |     "papermill": {
122 |      "duration": 0.017861,
123 |      "end_time": "2022-08-10T18:47:19.996364",
124 |      "exception": false,
125 |      "start_time": "2022-08-10T18:47:19.978503",
126 |      "status": "completed"
127 |     },
128 |     "tags": []
129 |    },
130 |    "outputs": [
131 |     {
132 |      "data": {
133 |       "text/plain": [
134 |        "(1459, 80)"
135 |       ]
136 |      },
137 |      "execution_count": 4,
138 |      "metadata": {},
139 |      "output_type": "execute_result"
140 |     }
141 |    ],
142 |    "source": [
143 |     "test_df.shape"
144 |    ]
145 |   },
146 |   {
147 |    "cell_type": "code",
148 |    "execution_count": 5,
149 |    "id": "9c39863c",
150 |    "metadata": {
151 |     "execution": {
152 |      "iopub.execute_input": "2022-08-10T18:47:20.007887Z",
153 |      "iopub.status.busy": "2022-08-10T18:47:20.006923Z",
154 |      "iopub.status.idle": "2022-08-10T18:47:20.041406Z",
155 |      "shell.execute_reply": "2022-08-10T18:47:20.040137Z"
156 |     },
157 |     "papermill": {
158 |      "duration": 0.044129,
159 |      "end_time": "2022-08-10T18:47:20.045088",
160 |      "exception": false,
161 |      "start_time": "2022-08-10T18:47:20.000959",
162 |      "status": "completed"
163 |     },
164 |     "tags": []
165 |    },
166 |    "outputs": [
167 |     {
168 |      "name": "stdout",
169 |      "output_type": "stream",
170 |      "text": [
171 |       "<class 'pandas.core.frame.DataFrame'>\n",
172 |       "RangeIndex: 1459 entries, 0 to 1458\n",
173 |       "Data columns (total 80 columns):\n",
174 |       " #   Column         Non-Null Count  Dtype  \n",
175 |       "---  ------         --------------  -----  \n",
176 |       " 0   Id             1459 non-null   int64  \n",
177 |       " 1   MSSubClass     1459 non-null   int64  \n",
178 |       " 2   MSZoning       1455 non-null   object \n",
179 |       " 3   LotFrontage    1232 non-null   float64\n",
180 |       " 4   LotArea        1459 non-null   int64  \n",
181 |       " 5   Street         1459 non-null   object \n",
182 |       " 6   Alley          107 non-null    object \n",
183 |       " 7   LotShape       1459 non-null   object \n",
184 |       " 8   LandContour    1459 non-null   object \n",
185 |       " 9   Utilities      1457 non-null   object \n",
186 |       " 10  LotConfig      1459 non-null   object \n",
187 |       " 11  LandSlope      1459 non-null   object \n",
188 |       " 12  Neighborhood   1459 non-null   object \n",
189 |       " 13  Condition1     1459 non-null   object \n",
190 |       " 14  Condition2     1459 non-null   object \n",
191 |       " 15  BldgType       1459 non-null   object \n",
192 |       " 16  HouseStyle     1459 non-null   object \n",
193 |       " 17  OverallQual    1459 non-null   int64  \n",
194 |       " 18  OverallCond    1459 non-null   int64  \n",
195 |       " 19  YearBuilt      1459 non-null   int64  \n",
196 |       " 20  YearRemodAdd   1459 non-null   int64  \n",
197 |       " 21  RoofStyle      1459 non-null   object \n",
198 |       " 22  RoofMatl       1459 non-null   object \n",
199 |       " 23  Exterior1st    1458 non-null   object \n",
200 |       " 24  Exterior2nd    1458 non-null   object \n",
201 |       " 25  MasVnrType     1443 non-null   object \n",
202 |       " 26  MasVnrArea     1444 non-null   float64\n",
203 |       " 27  ExterQual      1459 non-null   object \n",
204 |       " 28  ExterCond      1459 non-null   object \n",
205 |       " 29  Foundation     1459 non-null   object \n",
206 |       " 30  BsmtQual       1415 non-null   object \n",
207 |       " 31  BsmtCond       1414 non-null   object \n",
208 |       " 32  BsmtExposure   1415 non-null   object \n",
209 |       " 33  BsmtFinType1   1417 non-null   object \n",
210 |       " 34  BsmtFinSF1     1458 non-null   float64\n",
211 |       " 35  BsmtFinType2   1417 non-null   object \n",
212 |       " 36  BsmtFinSF2     1458 non-null   float64\n",
213 |       " 37  BsmtUnfSF      1458 non-null   float64\n",
214 |       " 38  TotalBsmtSF    1458 non-null   float64\n",
215 |       " 39  Heating        1459 non-null   object \n",
216 |       " 40  HeatingQC      1459 non-null   object \n",
217 |       " 41  CentralAir     1459 non-null   object \n",
218 |       " 42  Electrical     1459 non-null   object \n",
219 |       " 43  1stFlrSF       1459 non-null   int64  \n",
220 |       " 44  2ndFlrSF       1459 non-null   int64  \n",
221 |       " 45  LowQualFinSF   1459 non-null   int64  \n",
222 |       " 46  GrLivArea      1459 non-null   int64  \n",
223 |       " 47  BsmtFullBath   1457 non-null   float64\n",
224 |       " 48  BsmtHalfBath   1457 non-null   float64\n",
225 |       " 49  FullBath       1459 non-null   int64  \n",
226 |       " 50  HalfBath       1459 non-null   int64  \n",
227 |       " 51  BedroomAbvGr   1459 non-null   int64  \n",
228 |       " 52  KitchenAbvGr   1459 non-null   int64  \n",
229 |       " 53  KitchenQual    1458 non-null   object \n",
230 |       " 54  TotRmsAbvGrd   1459 non-null   int64  \n",
231 |       " 55  Functional     1457 non-null   object \n",
232 |       " 56  Fireplaces     1459 non-null   int64  \n",
233 |       " 57  FireplaceQu    729 non-null    object \n",
234 |       " 58  GarageType     1383 non-null   object \n",
235 |       " 59  GarageYrBlt    1381 non-null   float64\n",
236 |       " 60  GarageFinish   1381 non-null   object \n",
237 |       " 61  GarageCars     1458 non-null   float64\n",
238 |       " 62  GarageArea     1458 non-null   float64\n",
239 |       " 63  GarageQual     1381 non-null   object \n",
240 |       " 64  GarageCond     1381 non-null   object \n",
241 |       " 65  PavedDrive     1459 non-null   object \n",
242 |       " 66  WoodDeckSF     1459 non-null   int64  \n",
243 |       " 67  OpenPorchSF    1459 non-null   int64  \n",
244 |       " 68  EnclosedPorch  1459 non-null   int64  \n",
245 |       " 69  3SsnPorch      1459 non-null   int64  \n",
246 |       " 70  ScreenPorch    1459 non-null   int64  \n",
247 |       " 71  PoolArea       1459 non-null   int64  \n",
248 |       " 72  PoolQC         3 non-null      object \n",
249 |       " 73  Fence          290 non-null    object \n",
250 |       " 74  MiscFeature    51 non-null     object \n",
251 |       " 75  MiscVal        1459 non-null   int64  \n",
252 |       " 76  MoSold         1459 non-null   int64  \n",
253 |       " 77  YrSold         1459 non-null   int64  \n",
254 |       " 78  SaleType       1458 non-null   object \n",
255 |       " 79  SaleCondition  1459 non-null   object \n",
256 |       "dtypes: float64(11), int64(26), object(43)\n",
257 |       "memory usage: 912.0+ KB\n"
258 |      ]
259 |     }
260 |    ],
261 |    "source": [
262 |     "test_df.info()"
263 |    ]
264 |   },
265 |   {
266 |    "cell_type": "code",
267 |    "execution_count": 6,
268 |    "id": "cc7cb355",
269 |    "metadata": {
270 |     "execution": {
271 |      "iopub.execute_input": "2022-08-10T18:47:20.056396Z",
272 |      "iopub.status.busy": "2022-08-10T18:47:20.055985Z",
273 |      "iopub.status.idle": "2022-08-10T18:47:20.069072Z",
274 |      "shell.execute_reply": "2022-08-10T18:47:20.068023Z"
275 |     },
276 |     "papermill": {
277 |      "duration": 0.021492,
278 |      "end_time": "2022-08-10T18:47:20.071512",
279 |      "exception": false,
280 |      "start_time": "2022-08-10T18:47:20.050020",
281 |      "status": "completed"
282 |     },
283 |     "tags": []
284 |    },
285 |    "outputs": [
286 |     {
287 |      "data": {
288 |       "text/plain": [
289 |        "Id                 0\n",
290 |        "MSSubClass         0\n",
291 |        "MSZoning           4\n",
292 |        "LotFrontage      227\n",
293 |        "LotArea            0\n",
294 |        "                ... \n",
295 |        "MiscVal            0\n",
296 |        "MoSold             0\n",
297 |        "YrSold             0\n",
298 |        "SaleType           1\n",
299 |        "SaleCondition      0\n",
300 |        "Length: 80, dtype: int64"
301 |       ]
302 |      },
303 |      "execution_count": 6,
304 |      "metadata": {},
305 |      "output_type": "execute_result"
306 |     }
307 |    ],
308 |    "source": [
309 |     "test_df.isnull().sum()"
310 |    ]
311 |   },
312 |   {
313 |    "cell_type": "code",
314 |    "execution_count": 7,
315 |    "id": "c0e79d3b",
316 |    "metadata": {
317 |     "execution": {
318 |      "iopub.execute_input": "2022-08-10T18:47:20.082519Z",
319 |      "iopub.status.busy": "2022-08-10T18:47:20.082152Z",
320 |      "iopub.status.idle": "2022-08-10T18:47:20.088386Z",
321 |      "shell.execute_reply": "2022-08-10T18:47:20.087185Z"
322 |     },
323 |     "papermill": {
324 |      "duration": 0.014332,
325 |      "end_time": "2022-08-10T18:47:20.090599",
326 |      "exception": false,
327 |      "start_time": "2022-08-10T18:47:20.076267",
328 |      "status": "completed"
329 |     },
330 |     "tags": []
331 |    },
332 |    "outputs": [],
333 |    "source": [
334 |     "test_df['LotFrontage'] = test_df['LotFrontage'].fillna(test_df['LotFrontage'].mean())"
335 |    ]
336 |   },
337 |   {
338 |    "cell_type": "code",
339 |    "execution_count": 8,
340 |    "id": "b32c8f8b",
341 |    "metadata": {
342 |     "execution": {
343 |      "iopub.execute_input": "2022-08-10T18:47:20.102027Z",
344 |      "iopub.status.busy": "2022-08-10T18:47:20.101468Z",
345 |      "iopub.status.idle": "2022-08-10T18:47:20.107615Z",
346 |      "shell.execute_reply": "2022-08-10T18:47:20.106859Z"
347 |     },
348 |     "papermill": {
349 |      "duration": 0.01433,
350 |      "end_time": "2022-08-10T18:47:20.109885",
351 |      "exception": false,
352 |      "start_time": "2022-08-10T18:47:20.095555",
353 |      "status": "completed"
354 |     },
355 |     "tags": []
356 |    },
357 |    "outputs": [],
358 |    "source": [
359 |     "test_df['MSZoning'] = test_df['MSZoning'].fillna(test_df['MSZoning'].mode()[0])"
360 |    ]
361 |   },
362 |   {
363 |    "cell_type": "code",
364 |    "execution_count": 9,
365 |    "id": "2ac392c7",
366 |    "metadata": {
367 |     "execution": {
368 |      "iopub.execute_input": "2022-08-10T18:47:20.121519Z",
369 |      "iopub.status.busy": "2022-08-10T18:47:20.120914Z",
370 |      "iopub.status.idle": "2022-08-10T18:47:20.135288Z",
371 |      "shell.execute_reply": "2022-08-10T18:47:20.134320Z"
372 |     },
373 |     "papermill": {
374 |      "duration": 0.023266,
375 |      "end_time": "2022-08-10T18:47:20.137950",
376 |      "exception": false,
377 |      "start_time": "2022-08-10T18:47:20.114684",
378 |      "status": "completed"
379 |     },
380 |     "tags": []
381 |    },
382 |    "outputs": [],
383 |    "source": [
384 |     "test_df.drop(['Alley'],axis=1,inplace=True)\n",
385 |     "test_df.drop(['GarageYrBlt'],axis=1,inplace=True)\n",
386 |     "test_df.drop(['Id'],axis=1,inplace=True)\n",
387 |     "test_df.drop(['PoolQC','Fence','MiscFeature'],axis=1,inplace=True)"
388 |    ]
389 |   },
390 |   {
391 |    "cell_type": "code",
392 |    "execution_count": 10,
393 |    "id": "b48b1c58",
394 |    "metadata": {
395 |     "execution": {
396 |      "iopub.execute_input": "2022-08-10T18:47:20.149716Z",
397 |      "iopub.status.busy": "2022-08-10T18:47:20.149089Z",
398 |      "iopub.status.idle": "2022-08-10T18:47:20.170554Z",
399 |      "shell.execute_reply": "2022-08-10T18:47:20.169115Z"
400 |     },
401 |     "papermill": {
402 |      "duration": 0.032005,
403 |      "end_time": "2022-08-10T18:47:20.174854",
404 |      "exception": false,
405 |      "start_time": "2022-08-10T18:47:20.142849",
406 |      "status": "completed"
407 |     },
408 |     "tags": []
409 |    },
410 |    "outputs": [],
411 |    "source": [
412 |     "test_df['BsmtCond']=test_df['BsmtCond'].fillna(test_df['BsmtCond'].mode()[0])\n",
413 |     "test_df['BsmtQual']=test_df['BsmtQual'].fillna(test_df['BsmtQual'].mode()[0])\n",
414 |     "test_df['FireplaceQu']=test_df['FireplaceQu'].fillna(test_df['FireplaceQu'].mode()[0])\n",
415 |     "test_df['GarageType']=test_df['GarageType'].fillna(test_df['GarageType'].mode()[0])\n",
416 |     "test_df['GarageFinish']=test_df['GarageFinish'].fillna(test_df['GarageFinish'].mode()[0])\n",
417 |     "test_df['GarageQual']=test_df['GarageQual'].fillna(test_df['GarageQual'].mode()[0])\n",
418 |     "test_df['GarageCond']=test_df['GarageCond'].fillna(test_df['GarageCond'].mode()[0])\n",
419 |     "test_df['MasVnrType']=test_df['MasVnrType'].fillna(test_df['MasVnrType'].mode()[0])\n",
420 |     "test_df['BsmtFinType2']=test_df['BsmtFinType2'].fillna(test_df['BsmtFinType2'].mode()[0])\n",
421 |     "test_df['MasVnrArea']=test_df['MasVnrArea'].fillna(test_df['MasVnrArea'].mode()[0])\n",
422 |     "test_df['BsmtExposure']=test_df['BsmtExposure'].fillna(test_df['BsmtExposure'].mode()[0])"
423 |    ]
424 |   },
425 |   {
426 |    "cell_type": "code",
427 |    "execution_count": 11,
428 |    "id": "b1de2233",
429 |    "metadata": {
430 |     "execution": {
431 |      "iopub.execute_input": "2022-08-10T18:47:20.191944Z",
432 |      "iopub.status.busy": "2022-08-10T18:47:20.190691Z",
433 |      "iopub.status.idle": "2022-08-10T18:47:20.197235Z",
434 |      "shell.execute_reply": "2022-08-10T18:47:20.195674Z"
435 |     },
436 |     "papermill": {
437 |      "duration": 0.017855,
438 |      "end_time": "2022-08-10T18:47:20.200960",
439 |      "exception": false,
440 |      "start_time": "2022-08-10T18:47:20.183105",
441 |      "status": "completed"
442 |     },
443 |     "tags": []
444 |    },
445 |    "outputs": [],
446 |    "source": [
447 |     "#test_df.dropna(inplace=True)"
448 |    ]
449 |   },
450 |   {
451 |    "cell_type": "code",
452 |    "execution_count": 12,
453 |    "id": "eba0772f",
454 |    "metadata": {
455 |     "execution": {
456 |      "iopub.execute_input": "2022-08-10T18:47:20.217053Z",
457 |      "iopub.status.busy": "2022-08-10T18:47:20.216476Z",
458 |      "iopub.status.idle": "2022-08-10T18:47:20.660940Z",
459 |      "shell.execute_reply": "2022-08-10T18:47:20.659727Z"
460 |     },
461 |     "papermill": {
462 |      "duration": 0.456007,
463 |      "end_time": "2022-08-10T18:47:20.663906",
464 |      "exception": false,
465 |      "start_time": "2022-08-10T18:47:20.207899",
466 |      "status": "completed"
467 |     },
468 |     "tags": []
469 |    },
470 |    "outputs": [
471 |     {
472 |      "data": {
473 |       "text/plain": [
474 |        "<AxesSubplot:>"
475 |       ]
476 |      },
477 |      "execution_count": 12,
478 |      "metadata": {},
479 |      "output_type": "execute_result"
480 |     },
481 |     {
482 |      "data": {
483 |       "image/png": 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\n",
484 |       "text/plain": [
485 |        "<Figure size 432x288 with 1 Axes>"
486 |       ]
487 |      },
488 |      "metadata": {
489 |       "needs_background": "light"
490 |      },
491 |      "output_type": "display_data"
492 |     }
493 |    ],
494 |    "source": [
495 |     "sns.heatmap(test_df.isnull(),yticklabels=False,cbar=False)"
496 |    ]
497 |   },
498 |   {
499 |    "cell_type": "code",
500 |    "execution_count": 13,
501 |    "id": "aac25fcf",
502 |    "metadata": {
503 |     "execution": {
504 |      "iopub.execute_input": "2022-08-10T18:47:20.676348Z",
505 |      "iopub.status.busy": "2022-08-10T18:47:20.675583Z",
506 |      "iopub.status.idle": "2022-08-10T18:47:20.684338Z",
507 |      "shell.execute_reply": "2022-08-10T18:47:20.683293Z"
508 |     },
509 |     "papermill": {
510 |      "duration": 0.017781,
511 |      "end_time": "2022-08-10T18:47:20.686891",
512 |      "exception": false,
513 |      "start_time": "2022-08-10T18:47:20.669110",
514 |      "status": "completed"
515 |     },
516 |     "tags": []
517 |    },
518 |    "outputs": [
519 |     {
520 |      "data": {
521 |       "text/plain": [
522 |        "(1459, 74)"
523 |       ]
524 |      },
525 |      "execution_count": 13,
526 |      "metadata": {},
527 |      "output_type": "execute_result"
528 |     }
529 |    ],
530 |    "source": [
531 |     "test_df.shape"
532 |    ]
533 |   },
534 |   {
535 |    "cell_type": "code",
536 |    "execution_count": 14,
537 |    "id": "37084016",
538 |    "metadata": {
539 |     "execution": {
540 |      "iopub.execute_input": "2022-08-10T18:47:20.700240Z",
541 |      "iopub.status.busy": "2022-08-10T18:47:20.699592Z",
542 |      "iopub.status.idle": "2022-08-10T18:47:20.735170Z",
543 |      "shell.execute_reply": "2022-08-10T18:47:20.734086Z"
544 |     },
545 |     "papermill": {
546 |      "duration": 0.045702,
547 |      "end_time": "2022-08-10T18:47:20.738032",
548 |      "exception": false,
549 |      "start_time": "2022-08-10T18:47:20.692330",
550 |      "status": "completed"
551 |     },
552 |     "tags": []
553 |    },
554 |    "outputs": [],
555 |    "source": [
556 |     "test_df.to_csv('formulatedtest.csv',index=False)"
557 |    ]
558 |   }
559 |  ],
560 |  "metadata": {
561 |   "kernelspec": {
562 |    "display_name": "Python 3",
563 |    "language": "python",
564 |    "name": "python3"
565 |   },
566 |   "language_info": {
567 |    "codemirror_mode": {
568 |     "name": "ipython",
569 |     "version": 3
570 |    },
571 |    "file_extension": ".py",
572 |    "mimetype": "text/x-python",
573 |    "name": "python",
574 |    "nbconvert_exporter": "python",
575 |    "pygments_lexer": "ipython3",
576 |    "version": "3.7.12"
577 |   },
578 |   "papermill": {
579 |    "default_parameters": {},
580 |    "duration": 11.98778,
581 |    "end_time": "2022-08-10T18:47:21.465455",
582 |    "environment_variables": {},
583 |    "exception": null,
584 |    "input_path": "__notebook__.ipynb",
585 |    "output_path": "__notebook__.ipynb",
586 |    "parameters": {},
587 |    "start_time": "2022-08-10T18:47:09.477675",
588 |    "version": "2.3.4"
589 |   }
590 |  },
591 |  "nbformat": 4,
592 |  "nbformat_minor": 5
593 | }
594 | 


--------------------------------------------------------------------------------
/Python/house-Price-Prediction/house_pred_deployment.py:
--------------------------------------------------------------------------------
  1 | #importing libraries
  2 | import streamlit as st
  3 | import pandas as pd
  4 | import matplotlib.pyplot as plt
  5 | import plotly.express as px
  6 | import seaborn as sns
  7 | import xgboost
  8 | 
  9 | st.set_option('deprecation.showPyplotGlobalUse', False)
 10 | 
 11 | st.markdown("<h1 style='text-align: center; color: black;'>House Price Prediction</h1>", unsafe_allow_html=True)
 12 | st.write("---")
 13 | 
 14 | # Loading the dataset
 15 | df = pd.read_csv('dataset.csv', index_col=[0])
 16 | X = df.drop(['SalePrice'], axis=1)
 17 | Y = df['SalePrice']
 18 | st.write("### Dataset")
 19 | st.write(X)
 20 | 
 21 | #Visualization
 22 | st.write('---')
 23 | st.markdown("<h3 style='text-align: left; color: black;'>Data Visualization</h3>", unsafe_allow_html=True)
 24 | 
 25 | chart_select = st.selectbox(
 26 |     label = "Select the type of chart",
 27 |     options = ['Scatterplot', 'Histogram', 'Boxplot']
 28 | )
 29 | 
 30 | num_cols = list(X.select_dtypes(['float','int']).columns)
 31 | 
 32 | if chart_select == "Scatterplot":
 33 |     st.write("###### Scatterplot Settings")
 34 |     try:
 35 |         x_values = st.selectbox('X axis', options=num_cols)
 36 |         y_values = st.selectbox('Y axis', options=num_cols)
 37 |         plot = px.scatter(data_frame=X, x=x_values, y=y_values)
 38 |         st.write(plot)
 39 |     except Exception as e:
 40 |         print(e)
 41 | 
 42 | if chart_select == "Histogram":
 43 |     st.write("###### Histogram Settings")
 44 |     try:
 45 |         x_values = st.selectbox('X axis', options=num_cols)
 46 |         plot = px.histogram(data_frame=X, x=x_values)
 47 |         st.write(plot)
 48 |     except Exception as e:
 49 |         print(e)
 50 | 
 51 | if chart_select == "Boxplot":
 52 |     st.write("###### Boxplot Settings")
 53 |     try:
 54 |         x_values = st.selectbox('X axis', options=num_cols)
 55 |         y_values = st.selectbox('Y axis', options=num_cols)
 56 |         plot = px.box(data_frame=X, x=x_values, y=y_values)
 57 |         st.write(plot)
 58 |     except Exception as e:
 59 |         print(e)
 60 | 
 61 | #User input for model parameters
 62 | st.markdown("<h2 style='text-align: left; color: black;'>Model Parameters</h2>", unsafe_allow_html=True)
 63 | st.write("###### Specify Input Parameters: ")
 64 | 
 65 | def user_input():
 66 |     OverallQual = st.slider('OverallQual',float(X.OverallQual.min()),float(X.OverallQual.max()), float(X.OverallQual.mean()))
 67 |     GrLivArea = st.slider('GrLivArea',float(X.GrLivArea.min()),float(X.GrLivArea.max()), float(X.GrLivArea.mean()))
 68 |     GarageCars = st.slider('GarageCars',float(X.GarageCars.min()),float(X.GarageCars.max()),float(X.GarageCars.mean()))
 69 |     GarageArea = st.slider('GarageArea',float(X.GarageArea.min()),float(X.GarageArea.max()),float(X.GarageArea.mean()))
 70 |     lstFlrSF = st.slider('lstFlrSF',float(X.lstFlrSF.min()),float(X.lstFlrSF.max()),float(X.lstFlrSF.mean()))
 71 |     data = { 'OverallQual': OverallQual,
 72 |              'GrLivArea': GrLivArea,
 73 |              'GarageCars': GarageCars,
 74 |              'GarageArea': GarageArea,
 75 |              '1stFlrSF': lstFlrSF}
 76 |     features = pd.DataFrame(data, index=[0])
 77 |     return features
 78 | 
 79 | df = user_input()
 80 | 
 81 | #Displaying given input parameters
 82 | st.write("###### Specified Input Parameters")
 83 | st.write(df)
 84 | st.write('---')
 85 | 
 86 | #model
 87 | model=xgboost.XGBRegressor()
 88 | model.fit(X, Y)
 89 | prediction = model.predict(df)
 90 | 
 91 | st.write("###### Predicted House Price Value based on the given parameters: ")
 92 | st.code(float(prediction))
 93 | st.write('---')
 94 | 
 95 | #SHAP
 96 | import shap
 97 | explainer = shap.TreeExplainer(model)
 98 | shap_values = explainer.shap_values(X)
 99 | st.markdown("<h2 style='text-align: left; color: black;'>Feature Importance</h2>", unsafe_allow_html=True)
100 | st.write("###### Feature Importance based on SHAP values")
101 | shap.summary_plot(shap_values,X)
102 | st.pyplot(bbox_inches='tight')
103 | shap.summary_plot(shap_values,X,plot_type='bar')
104 | st.pyplot(bbox_inches='tight')
105 | 


--------------------------------------------------------------------------------
/Python/house-Price-Prediction/requirements.txt:
--------------------------------------------------------------------------------
1 | streamlit==1.13.0
2 | pandas==1.4.2
3 | matplotlib==3.5.1
4 | plotly==5.6.0
5 | seaborn==0.11.2
6 | xgboost==1.6.2
7 | shap==0.41.0


--------------------------------------------------------------------------------
/Python/house-Price-Prediction/sample_submission.csv:
--------------------------------------------------------------------------------
   1 | Id,SalePrice
   2 | 1461,169277.0524984
   3 | 1462,187758.393988768
   4 | 1463,183583.683569555
   5 | 1464,179317.47751083
   6 | 1465,150730.079976501
   7 | 1466,177150.989247307
   8 | 1467,172070.659229164
   9 | 1468,175110.956519547
  10 | 1469,162011.698831665
  11 | 1470,160726.247831419
  12 | 1471,157933.279456005
  13 | 1472,145291.245020389
  14 | 1473,159672.017631819
  15 | 1474,164167.518301885
  16 | 1475,150891.638244053
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1461 | 


--------------------------------------------------------------------------------
/Python/house-Price-Prediction/submission.csv:
--------------------------------------------------------------------------------
   1 | Id,SalePrice
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   3 | 1462,150099.22
   4 | 1463,196159.06
   5 | 1464,191705.16
   6 | 1465,192821.5
   7 | 1466,177636.02
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 241 | 1700,230577.42
 242 | 1701,252383.25
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 555 | 2014,183246.52
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 561 | 2020,119513.39
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 700 | 2159,209696.52
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 710 | 2169,199718.3
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 720 | 2179,139535.75
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 768 | 2227,195451.0
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 800 | 2259,187494.69
 801 | 2260,135855.94
 802 | 2261,158031.1
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 815 | 2274,179642.8
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 817 | 2276,180978.5
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 821 | 2280,116780.65
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 827 | 2286,126017.516
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 830 | 2289,441055.3
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 840 | 2299,405549.28
 841 | 2300,340154.62
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 848 | 2307,190722.02
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 850 | 2309,293055.1
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 855 | 2314,157670.17
 856 | 2315,169987.9
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 866 | 2325,208508.38
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 876 | 2335,247340.34
 877 | 2336,332109.16
 878 | 2337,237760.47
 879 | 2338,285719.2
 880 | 2339,222026.03
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 882 | 2341,229731.72
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 885 | 2344,225475.25
 886 | 2345,201693.92
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 888 | 2347,217178.88
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 890 | 2349,177565.14
 891 | 2350,240575.14
 892 | 2351,253593.67
 893 | 2352,271670.0
 894 | 2353,272135.3
 895 | 2354,123536.41
 896 | 2355,133231.5
 897 | 2356,150331.3
 898 | 2357,198110.78
 899 | 2358,179522.52
 900 | 2359,123683.5
 901 | 2360,116990.19
 902 | 2361,137294.17
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 904 | 2363,138865.6
 905 | 2364,165193.42
 906 | 2365,211982.39
 907 | 2366,190113.33
 908 | 2367,231295.52
 909 | 2368,231702.86
 910 | 2369,235788.23
 911 | 2370,174382.66
 912 | 2371,171042.38
 913 | 2372,179754.22
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 915 | 2374,282353.38
 916 | 2375,261534.52
 917 | 2376,255280.47
 918 | 2377,384065.38
 919 | 2378,145074.44
 920 | 2379,200237.16
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 922 | 2381,151941.36
 923 | 2382,181622.17
 924 | 2383,205720.86
 925 | 2384,245787.94
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 927 | 2386,142844.88
 928 | 2387,141517.81
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 930 | 2389,121150.375
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 932 | 2391,146457.81
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 934 | 2393,174105.89
 935 | 2394,139036.48
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 950 | 2409,134280.05
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 979 | 2438,127050.67
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1000 | 2459,113426.4
1001 | 2460,157987.28
1002 | 2461,119609.99
1003 | 2462,130950.36
1004 | 2463,116086.3
1005 | 2464,200342.42
1006 | 2465,138242.83
1007 | 2466,120624.2
1008 | 2467,160344.28
1009 | 2468,88968.13
1010 | 2469,69584.086
1011 | 2470,199751.94
1012 | 2471,209014.56
1013 | 2472,174993.53
1014 | 2473,113280.13
1015 | 2474,93701.57
1016 | 2475,234868.53
1017 | 2476,114279.06
1018 | 2477,126820.94
1019 | 2478,161271.22
1020 | 2479,108882.266
1021 | 2480,158592.05
1022 | 2481,122373.305
1023 | 2482,138983.8
1024 | 2483,114146.94
1025 | 2484,127307.26
1026 | 2485,127653.516
1027 | 2486,170438.34
1028 | 2487,180153.36
1029 | 2488,161651.42
1030 | 2489,147580.81
1031 | 2490,151554.05
1032 | 2491,90852.46
1033 | 2492,174375.88
1034 | 2493,141842.52
1035 | 2494,158870.11
1036 | 2495,109275.41
1037 | 2496,253884.75
1038 | 2497,136563.58
1039 | 2498,108104.26
1040 | 2499,102196.39
1041 | 2500,132036.17
1042 | 2501,142287.72
1043 | 2502,147540.84
1044 | 2503,98472.695
1045 | 2504,201013.25
1046 | 2505,229363.48
1047 | 2506,265852.75
1048 | 2507,332353.5
1049 | 2508,261591.6
1050 | 2509,212792.81
1051 | 2510,224375.75
1052 | 2511,180123.6
1053 | 2512,200875.3
1054 | 2513,209618.33
1055 | 2514,239006.14
1056 | 2515,144514.98
1057 | 2516,160578.64
1058 | 2517,143809.62
1059 | 2518,143475.03
1060 | 2519,229943.25
1061 | 2520,204616.11
1062 | 2521,187710.25
1063 | 2522,232640.39
1064 | 2523,132633.81
1065 | 2524,134476.52
1066 | 2525,149949.19
1067 | 2526,127476.04
1068 | 2527,102723.164
1069 | 2528,128592.96
1070 | 2529,133895.17
1071 | 2530,133683.31
1072 | 2531,245659.33
1073 | 2532,226161.0
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1075 | 2534,229490.67
1076 | 2535,313248.47
1077 | 2536,238410.66
1078 | 2537,233921.16
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1080 | 2539,198796.53
1081 | 2540,170988.72
1082 | 2541,173353.27
1083 | 2542,164604.0
1084 | 2543,129474.19
1085 | 2544,128111.39
1086 | 2545,128457.36
1087 | 2546,138153.4
1088 | 2547,139739.9
1089 | 2548,162851.25
1090 | 2549,170075.23
1091 | 2550,302725.8
1092 | 2551,147942.61
1093 | 2552,127264.19
1094 | 2553,97230.78
1095 | 2554,131644.8
1096 | 2555,118529.99
1097 | 2556,112609.44
1098 | 2557,108749.86
1099 | 2558,180219.38
1100 | 2559,140758.55
1101 | 2560,145996.11
1102 | 2561,148651.25
1103 | 2562,140675.83
1104 | 2563,153814.03
1105 | 2564,181187.67
1106 | 2565,142821.73
1107 | 2566,158808.55
1108 | 2567,131133.23
1109 | 2568,179466.55
1110 | 2569,183840.73
1111 | 2570,122521.57
1112 | 2571,185696.53
1113 | 2572,153286.55
1114 | 2573,172959.22
1115 | 2574,230497.19
1116 | 2575,117566.59
1117 | 2576,120158.234
1118 | 2577,129092.21
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1120 | 2579,39419.074
1121 | 2580,121528.2
1122 | 2581,120375.91
1123 | 2582,127241.195
1124 | 2583,295997.8
1125 | 2584,167625.56
1126 | 2585,190058.27
1127 | 2586,188759.9
1128 | 2587,190926.55
1129 | 2588,156773.88
1130 | 2589,150753.9
1131 | 2590,234253.94
1132 | 2591,220711.88
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1134 | 2593,255842.6
1135 | 2594,178003.4
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1137 | 2596,356154.2
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1139 | 2598,270846.6
1140 | 2599,288871.47
1141 | 2600,178678.53
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1144 | 2603,89620.29
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1146 | 2605,65170.324
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1148 | 2607,179892.88
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1150 | 2609,161345.69
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1157 | 2616,140108.34
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1186 | 2645,101100.84
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1190 | 2649,148828.02
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1192 | 2651,144826.5
1193 | 2652,424836.53
1194 | 2653,254936.81
1195 | 2654,247515.1
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1203 | 2662,349384.2
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1206 | 2665,322390.75
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1209 | 2668,179478.78
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1211 | 2670,312611.2
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1214 | 2673,186631.77
1215 | 2674,182338.06
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1217 | 2676,184243.58
1218 | 2677,182321.52
1219 | 2678,263037.44
1220 | 2679,304977.8
1221 | 2680,279500.06
1222 | 2681,445768.53
1223 | 2682,384040.6
1224 | 2683,554223.0
1225 | 2684,322178.78
1226 | 2685,380852.0
1227 | 2686,270086.66
1228 | 2687,308319.6
1229 | 2688,230988.73
1230 | 2689,219064.86
1231 | 2690,524752.94
1232 | 2691,197377.11
1233 | 2692,121875.64
1234 | 2693,198000.72
1235 | 2694,120873.34
1236 | 2695,194898.08
1237 | 2696,186246.11
1238 | 2697,192996.56
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1242 | 2701,153083.52
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1244 | 2703,142196.56
1245 | 2704,136456.84
1246 | 2705,114557.01
1247 | 2706,126026.19
1248 | 2707,131528.33
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1250 | 2709,116697.23
1251 | 2710,130765.12
1252 | 2711,299773.9
1253 | 2712,404633.8
1254 | 2713,155618.02
1255 | 2714,148500.62
1256 | 2715,178059.94
1257 | 2716,151993.86
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1274 | 2733,167657.84
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1278 | 2737,125329.164
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1280 | 2739,156760.89
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1282 | 2741,145903.44
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1284 | 2743,151641.81
1285 | 2744,149638.94
1286 | 2745,132701.22
1287 | 2746,132150.16
1288 | 2747,155209.75
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1290 | 2749,116372.21
1291 | 2750,139330.11
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1293 | 2752,204502.78
1294 | 2753,161252.42
1295 | 2754,233597.38
1296 | 2755,129789.44
1297 | 2756,92901.445
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1299 | 2758,83840.86
1300 | 2759,149428.27
1301 | 2760,142577.14
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1303 | 2762,144207.03
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1306 | 2765,283740.4
1307 | 2766,126372.984
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1309 | 2768,143159.86
1310 | 2769,121294.51
1311 | 2770,146123.39
1312 | 2771,118644.56
1313 | 2772,108136.85
1314 | 2773,144996.23
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1316 | 2775,143909.86
1317 | 2776,155763.12
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1319 | 2778,122226.125
1320 | 2779,118229.36
1321 | 2780,95387.875
1322 | 2781,103449.266
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1324 | 2783,108175.55
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1326 | 2785,140770.97
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1328 | 2787,124063.67
1329 | 2788,66751.266
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1331 | 2790,102108.23
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1333 | 2792,72712.086
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1338 | 2797,213832.72
1339 | 2798,107153.98
1340 | 2799,116732.625
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1344 | 2803,130337.64
1345 | 2804,169180.03
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1347 | 2806,65385.383
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1350 | 2809,135873.56
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1352 | 2811,165886.02
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1354 | 2813,143528.22
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1356 | 2815,97030.02
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1359 | 2818,129318.63
1360 | 2819,186172.0
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1363 | 2822,219316.27
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1365 | 2824,172451.34
1366 | 2825,175821.14
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1369 | 2828,207338.25
1370 | 2829,201441.31
1371 | 2830,244881.77
1372 | 2831,193917.05
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1375 | 2834,213251.17
1376 | 2835,222743.67
1377 | 2836,194559.06
1378 | 2837,160393.8
1379 | 2838,142687.64
1380 | 2839,178000.42
1381 | 2840,201295.7
1382 | 2841,209574.52
1383 | 2842,222206.1
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1385 | 2844,152646.53
1386 | 2845,119485.87
1387 | 2846,221804.39
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1392 | 2851,228394.17
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1397 | 2856,207447.75
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1399 | 2858,191706.36
1400 | 2859,123166.26
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1402 | 2861,133322.16
1403 | 2862,189622.69
1404 | 2863,129079.375
1405 | 2864,253867.45
1406 | 2865,129450.945
1407 | 2866,130616.484
1408 | 2867,89636.74
1409 | 2868,114813.15
1410 | 2869,129752.695
1411 | 2870,119547.65
1412 | 2871,110059.125
1413 | 2872,28801.918
1414 | 2873,99911.734
1415 | 2874,136962.3
1416 | 2875,107727.31
1417 | 2876,157198.0
1418 | 2877,140792.52
1419 | 2878,180468.64
1420 | 2879,131696.61
1421 | 2880,89989.93
1422 | 2881,163116.08
1423 | 2882,178553.62
1424 | 2883,174833.11
1425 | 2884,190986.47
1426 | 2885,207351.36
1427 | 2886,208135.17
1428 | 2887,99631.49
1429 | 2888,118713.85
1430 | 2889,35217.223
1431 | 2890,86248.85
1432 | 2891,139558.47
1433 | 2892,45256.54
1434 | 2893,110429.42
1435 | 2894,47751.66
1436 | 2895,326163.2
1437 | 2896,270808.84
1438 | 2897,190766.36
1439 | 2898,154586.89
1440 | 2899,222136.67
1441 | 2900,163857.27
1442 | 2901,218108.5
1443 | 2902,197196.2
1444 | 2903,351961.6
1445 | 2904,357835.56
1446 | 2905,116751.07
1447 | 2906,202068.11
1448 | 2907,115122.5
1449 | 2908,134733.86
1450 | 2909,126885.945
1451 | 2910,85072.234
1452 | 2911,81068.266
1453 | 2912,157502.92
1454 | 2913,86447.68
1455 | 2914,70758.31
1456 | 2915,75573.914
1457 | 2916,81232.71
1458 | 2917,169300.45
1459 | 2918,108080.62
1460 | 2919,233303.56
1461 | 


--------------------------------------------------------------------------------
/README.md:
--------------------------------------------------------------------------------
 1 | # Hacktoberfest2022 ✌️
 2 | This repository is made with the purpose of guiding people about Hacktoberfest
 3 | 
 4 | </br>
 5 | 
 6 | # What is Hacktoberfest? 🤔
 7 | </br>
 8 | 
 9 | Hacktoberfest is a month-long celebration of open source projects, their maintainers, and the entire community of contributors. Each October, open source maintainers give new contributors extra attention as they guide developers through their first pull requests on GitHub.
10 | 
11 | You can read the official details and rules at the Hacktoberfest website. Check out the official website here! [Hacktoberfest](https://hacktoberfest.com/)
12 | 
13 | </br>
14 | 
15 | # 🌱 Contributing to Hacktoberfest 2022
16 | 
17 | </br>
18 | 
19 | ## Process are as follows :- 
20 | 
21 | </br>
22 | 
23 | * Login using github (or gitlab) @[Hacktoberfest](https://hacktoberfest.com/)
24 | * Create at least four valid pull requests (PRs) between 1st - 31st October
25 | * You can check the progress of pull/merge requests [here](https://hacktoberfest.com/profile/)
26 | * Search for a Hacktoberfest accepted repository on Github, pick up any of those based on your interest and skills
27 | 
28 | ## How to Contribute to a repo ❓
29 | 
30 | ** NOTE: This is just a guide and not a Hacktoberfest accepted repository. Although, feel free to practice the below steps on this repository. **
31 | 
32 | </br>
33 | 
34 | **Prerequisite:** Install and setup git on your local machine
35 | 
36 | </br>
37 | 
38 | * Fork the repository (Click the Fork button in the top right of the page, click your Profile Image)
39 | * Clone the forked repository to your local machine
40 | ```markdown
41 | git clone https://github.com/your-username/Hacktoberfest2022.git
42 | ```
43 | </br>
44 | 
45 | * change the present working directory
46 | ```markdown
47 | cd Hacktoberfest2022
48 | ```
49 | </br>
50 | 
51 | * Add/Create your project to the specific folder as described in what you can contribute section
52 | * Make a new branch
53 | ```markdown
54 | git checkout -b branch-name
55 | ```
56 | </br>
57 | 
58 | * Make a few changes in the repository with the new branch
59 | * push the changes
60 | ```markdown
61 | git add .
62 | git commit -m "Your commit message"
63 | git push origin branch-name
64 | ```
65 | </br>
66 | 
67 | * Make a pull request
68 | * Star the repository
69 | 
70 | 
71 | ### 🤠 Check out the awesome list of swags you can win in Hacktoberfest 2022
72 | [Hacktoberfest 2022 Swag List](https://hacktoberfestswaglist.com/list/#d)
73 | 
74 | Happy Coding! 😎
75 | 
76 | ## Connect with me on [LinkedIn](https://www.linkedin.com/in/shumbul/)
77 | 


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/crud-typescript/.gitignore:
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1 | node_modules/
2 | .env


--------------------------------------------------------------------------------
/crud-typescript/package.json:
--------------------------------------------------------------------------------
 1 | {
 2 |   "name": "typescript",
 3 |   "version": "1.0.0",
 4 |   "description": "",
 5 |   "main": "index.js",
 6 |   "scripts": {
 7 |     "start": "node public/app.js",
 8 |     "dev": "nodemon src/app.ts",
 9 |     "build": "tsc -p ."
10 |   },
11 |   "keywords": [],
12 |   "author": "",
13 |   "license": "ISC",
14 |   "dependencies": {
15 |     "@types/ejs": "^3.1.1",
16 |     "dotenv": "^16.0.2",
17 |     "ejs": "^3.1.8",
18 |     "express": "^4.18.1",
19 |     "mongoose": "^6.6.1",
20 |     "nodemon": "^2.0.20",
21 |     "typescript": "^4.8.3"
22 |   },
23 |   "devDependencies": {
24 |     "@types/express": "^4.17.14",
25 |     "@types/node": "^18.7.18",
26 |     "ts-node": "^10.9.1"
27 |   }
28 | }
29 | 


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/crud-typescript/public/app.js:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/shumbul/Hacktoberfest-Guide/70f3989c472e0e3f078e56025b3d5e62ca0c980c/crud-typescript/public/app.js


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/crud-typescript/src/app.ts:
--------------------------------------------------------------------------------
 1 | import express, {Request,Response} from "express";
 2 | import http from "http";
 3 | import dotenv from "dotenv";
 4 | import { router } from "./routes/routes";
 5 | import mongoose, {ConnectOptions} from "mongoose";
 6 | import { config } from "./config/config";
 7 | 
 8 | mongoose.connect(config.mongo.url as string, {
 9 |     useUnifiedTopology: true,
10 |     useNewUrlParser: true,
11 | } as ConnectOptions)
12 | .then((db) => {
13 |     console.log("Database Connected Successfully");
14 | })
15 | .catch((err) => {
16 |     console.log("Error Connectiong to the Database");
17 | });
18 | 
19 | const app = express();
20 | const PORT = config.server.port || 3000;
21 | 
22 | app.use(express.json());
23 | app.use(express.urlencoded({ extended: false }));
24 | 
25 | app.set("view engine", "ejs");
26 | app.set('views', __dirname + '/views');
27 | 
28 | app.use('/', router);
29 | 
30 | app.listen(PORT, () => {
31 |     console.log(`Running on port http://localhost:${PORT}`);
32 | });


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/crud-typescript/src/config/config.ts:
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 1 | import dotenv from 'dotenv';
 2 | 
 3 | dotenv.config();
 4 | 
 5 | const MONGO_USERNAME = process.env.MONGO_USERNAME || '';
 6 | const MONGO_PASSWORD = process.env.MONGO_PASSWORD || '';
 7 | const MONGO_URL = `mongodb+srv://${MONGO_USERNAME}:${MONGO_PASSWORD}@cluster0.mo3sc7h.mongodb.net/?retryWrites=true&w=majority`;
 8 | 
 9 | const SERVER_PORT = process.env.SERVER_PORT ? Number(process.env.SERVER_PORT) : 3000;
10 | 
11 | export const config = {
12 |     mongo: {
13 |         username: MONGO_USERNAME,
14 |         password: MONGO_PASSWORD,
15 |         url: MONGO_URL
16 |     },
17 |     server: {
18 |         port: SERVER_PORT
19 |     }
20 | };
21 | 


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/crud-typescript/src/models/todo.model.ts:
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 1 | import mongoose from "mongoose";
 2 | 
 3 | const todoSchema = new mongoose.Schema({
 4 |     title: { 
 5 |         type: String, 
 6 |         required: true
 7 |     },
 8 |     description: {
 9 |         type: String,
10 |         required: true
11 |     },
12 |     someMoreDetails: {
13 |         type: String,
14 |         required: true
15 |     }
16 | });
17 | 
18 | export const Todo = mongoose.model("Todo", todoSchema);


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/crud-typescript/src/routes/routes.ts:
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 1 | import express, {Request, Response} from "express";
 2 | import { Todo } from "../models/todo.model";
 3 | const router = express.Router();
 4 | 
 5 | // Index Page
 6 | router.get("/todo", async(req: Request, res: Response) => {
 7 |     Todo.find({}, (err: any, todos: any) => {
 8 |         if (err) {
 9 |             console.log(err);
10 |         } else {
11 |             res.render("landing", { todos: todos });
12 |         }
13 |     });
14 | });
15 | 
16 | // Add Todo
17 | router.get("/todo/new", async(req: Request, res: Response) => {
18 |     res.render("new")
19 | });
20 | 
21 | // Create Todo
22 | router.post("/todo", async(req: Request, res: Response) => {
23 |     const { title, description, someMoreDetails } = req.body;
24 |     Todo.create({ title, description, someMoreDetails }, (err: any, todo: any) => {
25 |         if (err) {
26 |             res.render("new");
27 |         } else {
28 |             res.redirect("/todo");
29 |         }
30 |     });
31 | });
32 | 
33 | // Show Page
34 | router.get("/todo/:id", async(req: Request, res: Response) => {
35 |     const { title, description, someMoreDetails } = req.body;
36 |     Todo.findById(req.params.id, { title, description, someMoreDetails }, (err: any, todo: any) => {
37 |         if (err) {
38 |             res.redirect("/landing");
39 |         } else {
40 |             res.render("show", { todo: todo });
41 |         }
42 |     });
43 | });
44 | 
45 | // Edit Page
46 | router.get("/todo/:id/edit", async(req: Request, res: Response) => {
47 |     Todo.findById(req.params.id, (err: any, todo: any) => {
48 |         if (err) {
49 |             res.redirect("/landing");
50 |         } else {
51 |             res.render("edit", { todo: todo });
52 |         }
53 |     });
54 | });
55 | 
56 | // Update Todo
57 | router.put("/todo/:id/", async(req: Request, res: Response) => {
58 |     const { title, description, someMoreDetails } = req.body;
59 |     Todo.findByIdAndUpdate(req.params.id, { title, description, someMoreDetails }, (err: any, todo: any) => {
60 |         if(err) {
61 |             res.redirect("/todo");
62 |         } else {
63 |             res.redirect("/todo/" + req.params.id);
64 |         }  
65 |     });
66 | });
67 | 
68 | // Delete Todo
69 | router.delete("/todo/:id", async(req: Request, res: Response) => {
70 |     Todo.findByIdAndRemove(req.params.id, (err: any, todo: any) => {
71 |         if(err) {
72 |             res.redirect("/todo");
73 |         } else {
74 |             res.redirect("/todo");
75 |         }
76 |     });
77 | });
78 | 
79 | 
80 | export { router };


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/crud-typescript/src/views/edit.ejs:
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https://raw.githubusercontent.com/shumbul/Hacktoberfest-Guide/70f3989c472e0e3f078e56025b3d5e62ca0c980c/crud-typescript/src/views/edit.ejs


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/crud-typescript/src/views/landing.ejs:
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 1 | <html lang="en">
 2 | <head>
 3 |     <meta charset="UTF-8">
 4 |     <meta http-equiv="X-UA-Compatible" content="IE=edge">
 5 |     <meta name="viewport" content="width=device-width, initial-scale=1.0">
 6 |     <title>Landing Page</title>
 7 | </head>
 8 | <body>
 9 |     <h1>Landing Page</h1>
10 |     <a href="/todo/new">New Todo</a>
11 |     <% todos.forEach(function(todo) { %>
12 |         <ul>
13 |             <li><a href="/todo/<%= todo._id %>"><%= todo.title %></a></li>
14 |             <!-- <li><a href=""><%= todo.description %></a></li>
15 |             <li><a href=""><%= todo.someMoreDetails %></a></li> -->
16 |         </ul>
17 |     <% }) %>
18 |     </ul>
19 | </body>
20 | </html>


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/crud-typescript/src/views/new.ejs:
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 1 | <!DOCTYPE html>
 2 | <html lang="en">
 3 | <head>
 4 |     <meta charset="UTF-8">
 5 |     <meta http-equiv="X-UA-Compatible" content="IE=edge">
 6 |     <meta name="viewport" content="width=device-width, initial-scale=1.0">
 7 |     <title>New</title>
 8 | </head>
 9 | <body>
10 |     <h1>New Page</h1>
11 |     <form action="/todo" method="POST">
12 |         <input type="text" name="todo[title]" placeholder="Title" required>
13 |         <input type="text" name="todo[description]" placeholder="Description" required>
14 |         <input type="text" name="todo[someMoreDetails]" placeholder="Some More Details" required>
15 |         <button type="submit">Add Todo</button>
16 |     </form>
17 | </body>
18 | </html>


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/crud-typescript/src/views/show.ejs:
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 1 | <!DOCTYPE html>
 2 | <html lang="en">
 3 | <head>
 4 |     <meta charset="UTF-8">
 5 |     <meta http-equiv="X-UA-Compatible" content="IE=edge">
 6 |     <meta name="viewport" content="width=device-width, initial-scale=1.0">
 7 |     <title>Show Page</title>
 8 | </head>
 9 | <body>
10 |     <h1>Show Page</h1>
11 | </body>
12 | </html>


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/crud-typescript/tsconfig.json:
--------------------------------------------------------------------------------
  1 | {
  2 |   "compilerOptions": {
  3 |     /* Visit https://aka.ms/tsconfig to read more about this file */
  4 | 
  5 |     /* Projects */
  6 |     // "incremental": true,                              /* Save .tsbuildinfo files to allow for incremental compilation of projects. */
  7 |     // "composite": true,                                /* Enable constraints that allow a TypeScript project to be used with project references. */
  8 |     // "tsBuildInfoFile": "./.tsbuildinfo",              /* Specify the path to .tsbuildinfo incremental compilation file. */
  9 |     // "disableSourceOfProjectReferenceRedirect": true,  /* Disable preferring source files instead of declaration files when referencing composite projects. */
 10 |     // "disableSolutionSearching": true,                 /* Opt a project out of multi-project reference checking when editing. */
 11 |     // "disableReferencedProjectLoad": true,             /* Reduce the number of projects loaded automatically by TypeScript. */
 12 | 
 13 |     /* Language and Environment */
 14 |     "target": "es6",                                  /* Set the JavaScript language version for emitted JavaScript and include compatible library declarations. */
 15 |     "lib": [
 16 |       "ES2017","DOM"
 17 |     ],                                        /* Specify a set of bundled library declaration files that describe the target runtime environment. */
 18 |     // "jsx": "preserve",                                /* Specify what JSX code is generated. */
 19 |     // "experimentalDecorators": true,                   /* Enable experimental support for TC39 stage 2 draft decorators. */
 20 |     // "emitDecoratorMetadata": true,                    /* Emit design-type metadata for decorated declarations in source files. */
 21 |     // "jsxFactory": "",                                 /* Specify the JSX factory function used when targeting React JSX emit, e.g. 'React.createElement' or 'h'. */
 22 |     // "jsxFragmentFactory": "",                         /* Specify the JSX Fragment reference used for fragments when targeting React JSX emit e.g. 'React.Fragment' or 'Fragment'. */
 23 |     // "jsxImportSource": "",                            /* Specify module specifier used to import the JSX factory functions when using 'jsx: react-jsx*'. */
 24 |     // "reactNamespace": "",                             /* Specify the object invoked for 'createElement'. This only applies when targeting 'react' JSX emit. */
 25 |     // "noLib": true,                                    /* Disable including any library files, including the default lib.d.ts. */
 26 |     // "useDefineForClassFields": true,                  /* Emit ECMAScript-standard-compliant class fields. */
 27 |     // "moduleDetection": "auto",                        /* Control what method is used to detect module-format JS files. */
 28 | 
 29 |     /* Modules */
 30 |     "module": "commonjs",                                /* Specify what module code is generated. */
 31 |     "rootDir": "./src",                                  /* Specify the root folder within your source files. */
 32 |     // "moduleResolution": "node",                       /* Specify how TypeScript looks up a file from a given module specifier. */
 33 |     // "baseUrl": "./",                                  /* Specify the base directory to resolve non-relative module names. */
 34 |     // "paths": {},                                      /* Specify a set of entries that re-map imports to additional lookup locations. */
 35 |     // "rootDirs": [],                                   /* Allow multiple folders to be treated as one when resolving modules. */
 36 |     // "typeRoots": [],                                  /* Specify multiple folders that act like './node_modules/@types'. */
 37 |     // "types": [],                                      /* Specify type package names to be included without being referenced in a source file. */
 38 |     // "allowUmdGlobalAccess": true,                     /* Allow accessing UMD globals from modules. */
 39 |     // "moduleSuffixes": [],                             /* List of file name suffixes to search when resolving a module. */
 40 |     // "resolveJsonModule": true,                        /* Enable importing .json files. */
 41 |     // "noResolve": true,                                /* Disallow 'import's, 'require's or '<reference>'s from expanding the number of files TypeScript should add to a project. */
 42 | 
 43 |     /* JavaScript Support */
 44 |     // "allowJs": true,                                  /* Allow JavaScript files to be a part of your program. Use the 'checkJS' option to get errors from these files. */
 45 |     // "checkJs": true,                                  /* Enable error reporting in type-checked JavaScript files. */
 46 |     // "maxNodeModuleJsDepth": 1,                        /* Specify the maximum folder depth used for checking JavaScript files from 'node_modules'. Only applicable with 'allowJs'. */
 47 | 
 48 |     /* Emit */
 49 |     // "declaration": true,                              /* Generate .d.ts files from TypeScript and JavaScript files in your project. */
 50 |     // "declarationMap": true,                           /* Create sourcemaps for d.ts files. */
 51 |     // "emitDeclarationOnly": true,                      /* Only output d.ts files and not JavaScript files. */
 52 |     // "sourceMap": true,                                /* Create source map files for emitted JavaScript files. */
 53 |     // "outFile": "./",                                  /* Specify a file that bundles all outputs into one JavaScript file. If 'declaration' is true, also designates a file that bundles all .d.ts output. */
 54 |     "outDir": "./public",                                   /* Specify an output folder for all emitted files. */
 55 |     // "removeComments": true,                           /* Disable emitting comments. */
 56 |     // "noEmit": true,                                   /* Disable emitting files from a compilation. */
 57 |     // "importHelpers": true,                            /* Allow importing helper functions from tslib once per project, instead of including them per-file. */
 58 |     // "importsNotUsedAsValues": "remove",               /* Specify emit/checking behavior for imports that are only used for types. */
 59 |     // "downlevelIteration": true,                       /* Emit more compliant, but verbose and less performant JavaScript for iteration. */
 60 |     // "sourceRoot": "",                                 /* Specify the root path for debuggers to find the reference source code. */
 61 |     // "mapRoot": "",                                    /* Specify the location where debugger should locate map files instead of generated locations. */
 62 |     // "inlineSourceMap": true,                          /* Include sourcemap files inside the emitted JavaScript. */
 63 |     // "inlineSources": true,                            /* Include source code in the sourcemaps inside the emitted JavaScript. */
 64 |     // "emitBOM": true,                                  /* Emit a UTF-8 Byte Order Mark (BOM) in the beginning of output files. */
 65 |     // "newLine": "crlf",                                /* Set the newline character for emitting files. */
 66 |     // "stripInternal": true,                            /* Disable emitting declarations that have '@internal' in their JSDoc comments. */
 67 |     // "noEmitHelpers": true,                            /* Disable generating custom helper functions like '__extends' in compiled output. */
 68 |     // "noEmitOnError": true,                            /* Disable emitting files if any type checking errors are reported. */
 69 |     // "preserveConstEnums": true,                       /* Disable erasing 'const enum' declarations in generated code. */
 70 |     // "declarationDir": "./",                           /* Specify the output directory for generated declaration files. */
 71 |     // "preserveValueImports": true,                     /* Preserve unused imported values in the JavaScript output that would otherwise be removed. */
 72 | 
 73 |     /* Interop Constraints */
 74 |     // "isolatedModules": true,                          /* Ensure that each file can be safely transpiled without relying on other imports. */
 75 |     // "allowSyntheticDefaultImports": true,             /* Allow 'import x from y' when a module doesn't have a default export. */
 76 |     "esModuleInterop": true,                             /* Emit additional JavaScript to ease support for importing CommonJS modules. This enables 'allowSyntheticDefaultImports' for type compatibility. */
 77 |     // "preserveSymlinks": true,                         /* Disable resolving symlinks to their realpath. This correlates to the same flag in node. */
 78 |     "forceConsistentCasingInFileNames": true,            /* Ensure that casing is correct in imports. */
 79 | 
 80 |     /* Type Checking */
 81 |     "strict": true,                                      /* Enable all strict type-checking options. */
 82 |     // "noImplicitAny": true,                            /* Enable error reporting for expressions and declarations with an implied 'any' type. */
 83 |     // "strictNullChecks": true,                         /* When type checking, take into account 'null' and 'undefined'. */
 84 |     // "strictFunctionTypes": true,                      /* When assigning functions, check to ensure parameters and the return values are subtype-compatible. */
 85 |     // "strictBindCallApply": true,                      /* Check that the arguments for 'bind', 'call', and 'apply' methods match the original function. */
 86 |     // "strictPropertyInitialization": true,             /* Check for class properties that are declared but not set in the constructor. */
 87 |     // "noImplicitThis": true,                           /* Enable error reporting when 'this' is given the type 'any'. */
 88 |     // "useUnknownInCatchVariables": true,               /* Default catch clause variables as 'unknown' instead of 'any'. */
 89 |     // "alwaysStrict": true,                             /* Ensure 'use strict' is always emitted. */
 90 |     // "noUnusedLocals": true,                           /* Enable error reporting when local variables aren't read. */
 91 |     // "noUnusedParameters": true,                       /* Raise an error when a function parameter isn't read. */
 92 |     // "exactOptionalPropertyTypes": true,               /* Interpret optional property types as written, rather than adding 'undefined'. */
 93 |     // "noImplicitReturns": true,                        /* Enable error reporting for codepaths that do not explicitly return in a function. */
 94 |     // "noFallthroughCasesInSwitch": true,               /* Enable error reporting for fallthrough cases in switch statements. */
 95 |     // "noUncheckedIndexedAccess": true,                 /* Add 'undefined' to a type when accessed using an index. */
 96 |     // "noImplicitOverride": true,                       /* Ensure overriding members in derived classes are marked with an override modifier. */
 97 |     // "noPropertyAccessFromIndexSignature": true,       /* Enforces using indexed accessors for keys declared using an indexed type. */
 98 |     // "allowUnusedLabels": true,                        /* Disable error reporting for unused labels. */
 99 |     // "allowUnreachableCode": true,                     /* Disable error reporting for unreachable code. */
100 | 
101 |     /* Completeness */
102 |     // "skipDefaultLibCheck": true,                      /* Skip type checking .d.ts files that are included with TypeScript. */
103 |     "skipLibCheck": true                                 /* Skip type checking all .d.ts files. */
104 |   }
105 | }
106 | 


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