ЛАБОРАТОРНАЯ РАБОТА
по дисциплине “Основы программирования”
на тему
Алгоритмические языки: использование множеств
Цель работы: получение навыков работы с множествами.
Постановка задачи:
1. Изучить способы описания и использования множеств.
2. Разработать алгоритм и составить программу для решения задачи соответствующего варианта.
Задание к работе:
1. Найти в последовательности целых чисел такие, которые встречаются в ней ровно два раза.
2. Набрать программу, отладить ее, протестировать. Распечатать текст программы и результаты ее работы на тестовых данных.
3. Подобрать наборы тестовых данных.
Ход выполнения работы
Блок-схема:
Рисунок 1. Блок-схема программы.
-
![](data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAAwAAAAPCAYAAADQ4S5JAAAAAXNSR0ICQMB9xQAAAAlwSFlzAAAOxAAADsQBlSsOGwAAABl0RVh0U29mdHdhcmUATWljcm9zb2Z0IE9mZmljZX/tNXEAAABlSURBVCjPY2hsbGTAhoGgAas4Hg3/B1gDEFiA3I2E/6PxLdA1SADxd6hCdAwSl8BwEhD049DQj9UPOGyBm47V01hs6ccbSmi2oJiOM1iRbOknKh6gtrxHN51QxBmQFNM4DSJVAwBKwuTbGtotxgAAAABJRU5ErkJggg==)
+
Рисунок 2. Блок-схема элемента Code программы.
![](data:image/png;base64,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Рисунок 3. Блок-схема элемента Code2 программы.
Текст программы:
Program lab;
Uses crt;
Type
bin=byte;
maxlen=byte;
Const
max=100;
max_bin=255;
Var
a:array[1..max] of bin;
len:maxlen;
Procedure Vvod(Var a: array of bin;Var len:maxlen);
Var
x:maxlen;
begin
Write('Введите длинну последовательности: ');
Readln(len);
Writeln('Введите элементы последовательности: ');
for x:= 1 to len do
Begin
Write('a[',x,']=');
Readln(a[x]);
End;
End;
Procedure Code(a:array of bin;len:maxlen);
Var
x:maxlen;
b:array[1..max_bin] of byte;
Begin
for x:=1 to max_bin do b[x]:=0;
for x:=1 to len do inc(b[a[x]]);
for x:=1 to max_bin do if b[x]=2 then
Begin
Writeln('Число ',x,' повторяется ровно два раза');
End;
End;
Procedure Code2(a:array of bin;len:maxlen);
Var
b,c:set of bin;
x,y:maxlen;
k:byte;
Begin
y:=1;
b:=[];
c:=[];
for x:=1 to len do b:=b+[a[x]];
for y:=1 to len do
Begin
x:=0;
k:=0;
Repeat
Begin
inc(x);
if (a[x] in b)and(a[x]=a[y]) then inc(k);
End;
Until (x=len) or (k>2);
if k=2 then c:=c+[a[y]];
End;
for x:=1 to max_bin do if x in c then
Begin
Writeln('Число ',x,' повторяется ровно два раза');
End;
End;
Clrscr;
Begin
Vvod(a,len);
Writeln('Первый алгоритм: ');
Code(a,len);
Writeln('Второй алгоритм: ');
Code2(a,len);
End.
Результаты работы программы.
1) Введенные данные:
a[1]=1; a[2]=2; a[3]=3; a[4]=8; a[5]=10; a[6]=25; a[7]=44; a[8]=2; a[9]=9; a[10]=33;
Результаты работы программы
Первый алгоритм:
Числа повторяющиеся ровно два раза: 2;
Второй алгоритм:
Числа повторяющиеся ровно два раза: 2;
![](data:image/jpeg;base64,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Рисунок 4. Результаты теста №1.
2) Введенные данные:
a[1]=1; a[2]=1; a[3]=2; a[4]=2; a[5]=3; a[6]=3; a[7]=4; a[8]=4;
Результаты работы программы
Первый алгоритм:
Числа, повторяющиеся ровно два раза: 1; 2; 3; 4;
Второй алгоритм:
Числа, повторяющиеся ровно два раза: 1; 2; 3; 4;
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Рисунок 5. Результаты теста №2.