1) Sort(arrau moditifed in place) program myprog(input, output); type   dataset = array[1..3] of integer;  var   mydata: dataset;   i:

1) Sort(arrau moditifed in place)

program myprog(input, output);

type

  dataset = array[1..3] of integer; 

var

  mydata: dataset;

  i: integer;

procedure sortArray(var srcdata: dataset); 

var

  i, j: integer;

  temp: integer;

begin

  for i := 1 to 2 do  

    for j := 1 to 3 – i do

      if srcdata[j] > srcdata[j + 1] then

      begin

        temp := srcdata[j];

        srcdata[j] := srcdata[j + 1];

        srcdata[j + 1] := temp;

      end;

end;

begin

  mydata[1] := 49;

  mydata[2] := 8;

  mydata[3] := 45;

  sortArray(mydata);

  writeln(‘Sorted Array:’);

  for i := 1 to 3 do

    write(mydata[i], ‘ ‘);

  writeln;

end.

Output:

Target OS: Linux for x86-64

Compiling main.pas

Linking a.out

41 lines compiled, 0.0 sec

Sorted Array:

8 45 49 

…Program finished with exit code 0

Press ENTER to exit console.

2) FindLargestEven (array -> real

program myprog(input, output);

type

  dataset = array[1..4] of real; 

var

  mydata: dataset;

  largestEven: real;

function FindLargestEven(srcdata: dataset): real; 

var

  index: integer;

  largestEven: real;

begin

  largestEven := -1; 

  for index := 1 to 4 do begin

    if (trunc(srcdata[index]) mod 2 = 0) then begin 

      if (srcdata[index] > largestEven) then

        largestEven := srcdata[index]; 

    end;

  end;

  FindLargestEven := largestEven; 

end;

begin

  mydata[1] := 2.5;

  mydata[2] := 7.0;

  mydata[3] := 6.0;

  mydata[4] := 5.8;

  largestEven := FindLargestEven(mydata);

  if largestEven = -1 then

    writeln(‘No even number.’)

  else

    writeln(‘largest even number: ‘, largestEven, ‘ ‘); 

end.

Output: 

Copyright (c) 1993-2021 by Florian Klaempfl and others

Target OS: Linux for x86-64

Compiling main.pas

Linking a.out

44 lines compiled, 0.0 sec

largest even number:  6.0000000000000000E+000 

…Program finished with exit code 0

Press ENTER to exit console.

3) Distance (array -> real)

program myprog(input, output);

type

  dataset = array[1..2] of real;

var

  mydata: dataset;

  mydistance: real;

function Distanceformula(srcdata: dataset): real;

var

  distance: real;

begin

  distance := sqrt(sqr(srcdata[1]) + sqr(srcdata[2]));

  Distanceformula := distance;

end;

begin

  mydata[1] := 400.0;

  mydata[2] := 750.0;

  mydistance := Distanceformula(mydata);

  writeln(‘distance from start (0.0,0.0) to (‘, mydata[1], ‘,’, mydata[2], ‘) is: ‘, mydistance, ‘ ‘);

end.

 

      

  Output:

Free Pascal Compiler version 3.2.2+dfsg-9ubuntu1 [2022/04/11] for x86_64

Copyright (c) 1993-2021 by Florian Klaempfl and others

Target OS: Linux for x86-64

Compiling main.pas

Linking a.out

29 lines compiled, 0.0 sec

distance from start (0.0,0.0) to ( 4.0000000000000000E+002, 7.5000000000000000E+002) is:  8.5000000000000000E+002 

…Program finished with exit code 0

Press ENTER to exit console.

4) Multiply (array num, var array)

program myprog(input, output);

type

  dataset = array[1..4] of integer;

var

  mydata: dataset;

  i: integer;

procedure Multiply(srcdata: array of integer; var ans: array of integer);

var

  i: integer;

begin

  for i := 1 to 4 do

    ans[i] := srcdata[i] * 70;

end;

begin

  mydata[1] := 2;

  mydata[2] := 78;

  mydata[3] := 22;

  mydata[4] := 45;

  Multiply(mydata, mydata);

  for i := 1 to 4 do

    writeln(‘mydata[‘, i, ‘] = ‘, mydata[i], ‘ ‘);

end.

Output:

Free Pascal Compiler version 3.2.2+dfsg-9ubuntu1 [2022/04/11] for x86_64

Copyright (c) 1993-2021 by Florian Klaempfl and others

Target OS: Linux for x86-64

Compiling main.pas

Linking a.out

33 lines compiled, 0.0 sec

mydata[1] = 2 

mydata[2] = 5460 

mydata[3] = 1540 

mydata[4] = 3150 

…Program finished with exit code 0

Press ENTER to exit console.

5) AddElements (array array, var array)

program myprog(input, output);

type

  dataset = array[1..3] of integer;

var

  array1, array2, resultArray: dataset;

  i: integer;

procedure AddElements(srcdata1, srcdata2: dataset; var result: dataset);

var

  i: integer;

begin

  for i := 1 to 3 do

    result[i] := srcdata1[i] + srcdata2[i];

end;

begin

  array1[1] := 50;

  array1[2] := 26;

  array1[3] := 24;

  array2[1] := 1022;

  array2[2] := 472;

  array2[3] := 334;

  AddElements(array1, array2, resultArray);

  for i := 1 to 3 do

    writeln(‘resultArray[‘, i, ‘] = ‘, resultArray[i]);

End.

Output:

Free Pascal Compiler version 3.2.2+dfsg-9ubuntu1 [2022/04/11] for x86_64

Copyright (c) 1993-2021 by Florian Klaempfl and others

Target OS: Linux for x86-64

Compiling main.pas

Linking a.out

37 lines compiled, 0.0 sec

resultArray[1] = 1072

resultArray[2] = 498

resultArray[3] = 358

Share This Post

Email
WhatsApp
Facebook
Twitter
LinkedIn
Pinterest
Reddit

Order a Similar Paper and get 15% Discount on your First Order

Related Questions

 The Rest of the resources and instructions are provided in the screenshots below. You will need the Project overview to complete this

 The Rest of the resources and instructions are provided in the screenshots below. You will need the Project overview to complete this assignment. Project Overview This project includes the following tasks: Gather product information Analyze and differentiate product vulnerabilities Recommendation based on empirical data collection Objective: Product Selection Recommendation Organizations

 How Does Surescripts Integration Improve Prescription Management?  The Future of E-Prescriptions: Why Surescripts Integration is a Must-Have In

 How Does Surescripts Integration Improve Prescription Management?  The Future of E-Prescriptions: Why Surescripts Integration is a Must-Have In today’s fast-evolving healthcare landscape, seamless data exchange is essential for improving patient care and optimizing workflows. Surescripts integration solutions provide a secure and efficient way to connect pharmacies, healthcare providers, and electronic

[url= Integration Services[/url] are transforming businesses by streamlining operations, enhancing customer experiences, and enabling data-driven

[url= Integration Services[/url] are transforming businesses by streamlining operations, enhancing customer experiences, and enabling data-driven decisions. By automating repetitive tasks, AI frees up resources for more strategic activities, improving productivity. AI tools like chatbots and recommendation engines offer personalized solutions, fostering customer loyalty. AI also helps businesses analyze large datasets