Use the main method as a driver to test your methods. To generate the weather for location at longitude -98.76 and latitude 26.70 for the month ofFebruary do:java WeatherGenerator111 -98.76 26.7O 3public static void main (String[] args) {int number0fRows= 4001; // Total number of locations// Total number of 14 columns in file// File format: longitude, latitude, 12 months of transition probabilitiesint number0fColumns =14;// Allocate and populate arrays that hold the transition probabilitiesdouble[][] drywetdouble[][] wetwet = new double[numberofRows ] [ numberOfColumns];populateTransitionProbabilitiesArrays (drywet, wetwet, numberofRows);new double[number0fRows ] [numberOfColumns];%D/*** WRITE YOUR CODE BELLOW THIS LINE. DO NOT erase any of the lines above. ***/// Read command line inputsdouble longituteDouble.parseDouble(args[0]);Double.parseDouble(args[1]);= Integer.parseInt(args[2]);double latitude%3Dintmonthint[] forecast = oneMonthGenerator(longitute, latitude, month, drywet, wetwet);int drySpellint wetSpelllengthofLongestSpell(forecast, DRY);lengthofLongestSpell(forecast, WET);%3D%3D+ month);Stdout.println("There areStdOut.println(drySpell ++ forecast.length +days of dry spell.");days in the forecast for monthfor ( int i =0; i < forecast.length; i++ ) {// This is the ternary operator. (conditional) ? executed if true : executed if falseString weather =StdOut.println("DayWET) ? "Wet"is forecasted to be: "Dry";(forecast[i]+ (i+1) ++ weather);}} Future transition probability table as a 2D arrayThe oneMonthGenerator method receives as arguments the transition probability tables (dry to wet, and wet to wet) as 2D arrays.Each table row corresponds to a location (longitude, latitude) in the USA and contains the transition probabilitiesfor each month of the year.Longitude Latitude January February March April May June July August September October November December-97.5826.020.760.750.77 0.74 0.80 0.86 0.94 0.970.890.770.740.77Following are the methods to be completed in WeatherGenerator.java:public class WeatherGenerator {/* Given a location (longitude, latitude) in the USA and a month of the year, the method* returns the forecast for the month based on the drywet and wetwet transition* probabilities tables.** month will be a value between 2 and 13: 2 corresponds to January, 3 corresponds to February* and so on. These are the column indexes of each month in the transition probabilities tables.* The first day of the month has a 50% chance to be a wet day, 0-0.49 (wet), 0.50-0.99 (dry)* Use StdRandom.uniform() to generate a real number uniformly in [0,1)* /int[] oneMonthGenerator (double longitute, double latitude, int month, double0] drywet, double[][] wetwet)// Returns the longest number of consecutive mode (WET or DRY) days in forecast.int numberofWetDryDays (int[] forecast, int mode)/ ** Analyzes the forecast array and returns the longest number of* consecutive mode (which can be WET or DRY) days in forecast.* /int lengthofLongestWetDrySpell (int[] forecast, int mode)}

A weather generator produces a “synthetic” time series of weather data for a location based on the…

Use the main method as a driver to test your methods. To generate the weather for location at longitude -98.76 and lat February do: java WeatherGenerator111 -98.76 26.70 3 public static void main (String[] args) { int numberOfROWS int numberOfColumns = 14; = 4001; // Total number of locations // Total number of 14 columns in file // File format: longitude, latitude, 12 months of transition probabilit // Allocate and populate arrays that hold the transition probabilities double[][] drywet = new double[numberOfRows] [ number0fColumns]; double[][] wetwet = new double[number0fRows ] [ number0fColumns]; populateTransitionProbabilitiesArrays(drywet, wetwet, numberOfRows); /*** WRITE YOoUR CODE BELLOW THIS LINE. DO NOT erase any of the lines above. ***/ // Read command line inputs double longitute = Double.parseDouble(args[0]); double latitude = Double.parseDouble (args(1]); int month - Integer.parseInt(args[2]); int[] forecast = oneMonthGenerator(longitute, latitude, month, drywet, wetwet); int drySpeli int wetSpeli lengthOfLongestSpell(forecast, DRY); lengthOfLongestSpell(forecast, WET);

Use the main method as a driver to test your methods. To generate the weather for location at longitude -98.76 and lat February do: java WeatherGenerator111 -98.76 26.70 3 public static void main (String[] args) { int numberOfROWS int numberOfColumns = 14; = 4001; // Total number of locations // Total number of 14 columns in file // File format: longitude, latitude, 12 months of transition probabilit // Allocate and populate arrays that hold the transition probabilities double[][] drywet = new double[numberOfRows] [ number0fColumns]; double[][] wetwet = new double[number0fRows ] [ number0fColumns]; populateTransitionProbabilitiesArrays(drywet, wetwet, numberOfRows); /* WRITE YOoUR CODE BELLOW THIS LINE. DO NOT erase any of the lines above. */ // Read command line inputs double longitute = Double.parseDouble(args[0]); double latitude = Double.parseDouble (args(1]); int month - Integer.parseInt(args[2]); int[] forecast = oneMonthGenerator(longitute, latitude, month, drywet, wetwet); int drySpeli int wetSpeli lengthOfLongestSpell(forecast, DRY); lengthOfLongestSpell(forecast, WET);

Database System Concepts

7th Edition

ISBN:9780078022159

Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan

Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan

Chapter1: Introduction

Section: Chapter Questions

Problem 1PE

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Concept explainers

Array

The simplest way to start thinking about an array is as a collection, or a set of elements. In programming, these elements may be constants, variables, functions and pointers.

Question

Use the main method as a driver to test your methods. To generate the weather for location at longitude -98.76 and latitude 26.70 for the month of
February do:
java WeatherGenerator111 -98.76 26.7O 3
public static void main (String[] args) {
int number0fRows
= 4001; // Total number of locations
// Total number of 14 columns in file
// File format: longitude, latitude, 12 months of transition probabilities
int number0fColumns =
14;
// Allocate and populate arrays that hold the transition probabilities
double[][] drywet
double[][] wetwet = new double[numberofRows ] [ numberOfColumns];
populateTransitionProbabilitiesArrays (drywet, wetwet, numberofRows);
new double[number0fRows ] [numberOfColumns];
%D
/*** WRITE YOUR CODE BELLOW THIS LINE. DO NOT erase any of the lines above. ***/
// Read command line inputs
double longitute
Double.parseDouble(args[0]);
Double.parseDouble(args[1]);
= Integer.parseInt(args[2]);
double latitude
%3D
int
month
int[] forecast = oneMonthGenerator(longitute, latitude, month, drywet, wetwet);
int drySpell
int wetSpell
lengthofLongestSpell(forecast, DRY);
lengthofLongestSpell(forecast, WET);
%3D
%3D
+ month);
Stdout.println("There are
StdOut.println(drySpell +
+ forecast.length +
days of dry spell.");
days in the forecast for month
for ( int i =
0; i < forecast.length; i++ ) {
// This is the ternary operator. (conditional) ? executed if true : executed if false
String weather =
StdOut.println("Day
WET) ? "Wet"
is forecasted to be
: "Dry";
(forecast[i]
+ (i+1) +
+ weather);
}
}

Future transition probability table as a 2D array
The oneMonthGenerator method receives as arguments the transition probability tables (dry to wet, and wet to wet) as 2D arrays.
Each table row corresponds to a location (longitude, latitude) in the USA and contains the transition probabilities
for each month of the year.
Longitude Latitude January February March April May June July August September October November December
-97.58
26.02
0.76
0.75
0.77 0.74 0.80 0.86 0.94 0.97
0.89
0.77
0.74
0.77
Following are the methods to be completed in WeatherGenerator.java:
public class WeatherGenerator {
/* Given a location (longitude, latitude) in the USA and a month of the year, the method
* returns the forecast for the month based on the drywet and wetwet transition
* probabilities tables.
*
* month will be a value between 2 and 13: 2 corresponds to January, 3 corresponds to February
* and so on. These are the column indexes of each month in the transition probabilities tables.
* The first day of the month has a 50% chance to be a wet day, 0-0.49 (wet), 0.50-0.99 (dry)
* Use StdRandom.uniform() to generate a real number uniformly in [0,1)
* /
int[] oneMonthGenerator (double longitute, double latitude, int month, double0] drywet, double[][] wetwet)
// Returns the longest number of consecutive mode (WET or DRY) days in forecast.
int numberofWetDryDays (int[] forecast, int mode)
/ *
* Analyzes the forecast array and returns the longest number of
* consecutive mode (which can be WET or DRY) days in forecast.
* /
int lengthofLongestWetDrySpell (int[] forecast, int mode)
}

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