Home insulation is important and helps reduce electricity consumption. The quality of home insulation is represented by a variable called "rValue", {0.0 < rValue < 50.0}, with three digits of precision. A home with good insulation has a high rValue while a home with poor insulation has a low rValue.

Make a program to rate homes according to rValue and assign a rank from 1 to 10 (10 being best) for specific regions.

• Each rValue is to be compared against values of the same region, with region being either country, state or city.

  Ex: "John Doe" "Canada/Ontario/Toronto" 1.5 --> calculate score based on Toronto region.
  Ex: "Adam Xin" "Canada/British Columbia" 2.110 --> calculate score based on BC region.

• Given a specific home and region, the rank is determined as follows: If the percentage of homes with a higher rValue is:

  • [90,100) --> rank = 1
  • [80,90) --> rank = 2
  • ...
  • [0,10) --> rank = 10

"John Doe" "Canada/Ontario/Toronto" 1.5
"Samanta Smith" "Canada/Ontario/London" 3.7
"Adam Xin" "Canada/British Columbia/Vancouver" 2.110
"Monica Taylor" "Canada/Ontario/Toronto" 2.110
"Alicia Yazzie" "US/Arizona/Phoenix" 5.532
"Mohammed Zadeh" "Canada/Ontario/Toronto" 1.43

"John Doe" "Canada"
"John Doe" "Canada/Ontario"
"Alicia Yazzie" "US/Arizona" 

The first set of lines represent raw data with rValue scores. A query set of lines come after the space.

"John Doe" "Canada" 4
"John Doe" "Canada/Ontario" 5
"Alicia Yazzie" "US/Arizona" 10

The program outputs one line with the resulting score for each query

• Requirements:
  • Java 10
  • Maven 3.5.3

Clone this repo and run "mvn clean install" in directory. Go to mvn repo and get jar.

$ cat testData.txt | java -jar rValueRank.jar

As always, more testing can be done. The program performance is dependent on how many queries there are. The more queries, the more time it takes to finish. Possible performance gains could be made by opening a new thread for every query, and processing it asynchronously.