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23 Jul, 2018 | multiset max_size() in C++ STL with Examples
23 Jul, 2018
The multiset::max_size() is a built-in function in C++ STL which returns the maximum number of elements a multiset container can hold.
Syntax:
multiset_name.max_size()
Parameters: The function does not accept any parameters.
Return Value: The function returns the maximum number of elements a multiset container can hold.
Below programs illustrate the above function:
Program 1:
// CPP program to demonstrate the
// multiset::max_size() function
// when multiset is non-empty
#include <bits/stdc++.h>
using namespace std;
int main()
{
multiset<int> s;
// Function to insert elements
// in the multiset container
s.insert(10);
s.insert(13);
s.insert(13);
s.insert(25);
s.insert(24);
cout << "The multiset elements are: ";
for (auto it = s.begin(); it != s.end(); it++)
cout << *it << " ";
cout << "\nThe max size of multiset: " << s.max_size();
return 0;
}
Output:
The multiset elements are: 10 13 13 24 25
The max size of multiset: 461168601842738790
Program 2:
// CPP program to demonstrate the
// multiset::max_size() function
// when multiset is empty
#include <bits/stdc++.h>
using namespace std;
int main()
{
multiset<int> s;
cout << "\nThe max size of multiset: " << s.max_size();
return 0;
}
Output:
The max size of multiset: 461168601842738790
All functions of multiset
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20 Aug, 2018 | unordered_multimap max_size() function in C++ STL
20 Aug, 2018
The unordered_multimap::max_size() is a built-in function in C++ STL which returns the maximum number of elements that the unordered_multimap container can hold.
Syntax:
unordered_multimap_name.max_size()
Parameters: The function does not accepts any parameters.
Return Value: It returns an integral values which denotes the maximum size of elements that the container can hold.
Below programs illustrates the above function:
Program 1:
// C++ program to illustrate the
// unordered_multimap::max_size()
#include <bits/stdc++.h>
using namespace std;
int main()
{
// declaration
unordered_multimap<int, int> sample1;
// inserts key and element
// in sample1
sample1.insert({ 10, 100 });
sample1.insert({ 50, 500 });
cout << "The max number of elements that sample1 can hold: "
<< sample1.size();
cout << "\nKey and Elements of Sample1 are:";
for (auto it = sample1.begin(); it != sample1.end(); it++) {
cout << "{" << it->first << ", " << it->second << "} ";
}
return 0;
}
Output:
The max number of elements that sample1 can hold: 2
Key and Elements of Sample1 are:{50, 500} {10, 100}
Program 2:
// C++ program to illustrate the
// unordered_multimap::max_size()
#include <bits/stdc++.h>
using namespace std;
int main()
{
// declaration
unordered_multimap<char, char> sample1, sample2;
// inserts key and element
// in sample1
sample1.insert({ 'a', 'A' });
sample1.insert({ 'g', 'G' });
cout << "The max number of elements that sample1 can hold: "
<< sample1.size();
cout << "\nKey and Elements of Sample1 are:";
for (auto it = sample1.begin(); it != sample1.end(); it++) {
cout << "{" << it->first << ", " << it->second << "} ";
}
return 0;
}
Output:
The max number of elements that sample1 can hold: 2
Key and Elements of Sample1 are:{g, G} {a, A}
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08 Aug, 2018 | unordered_multimap bucket() function in C++ STL
08 Aug, 2018
The unordered_multimap::bucket() is a built-in function in C++ STL which returns the bucket number in which a given key is. Bucket size varies from 0 to bucket_count-1.
Syntax:
unordered_multimap_name.bucket(key)
Parameters: The function accepts a single mandatory parameter key which specifies the key whose bucket number is to be returned.
Return Value: It returns an unsigned integral type which signifies the bucket number in which the key is.
Below programs illustrates the above function:
Program 1:
// C++ program to illustrate the
// unordered_multimap::bucket()
#include <bits/stdc++.h>
using namespace std;
int main()
{
// declaration
unordered_multimap<int, int> sample;
// inserts key and element
sample.insert({ 10, 100 });
sample.insert({ 10, 100 });
sample.insert({ 20, 200 });
sample.insert({ 30, 300 });
sample.insert({ 15, 150 });
// iterate for all elements and print its bucket number
for (auto it = sample.begin();
it != sample.end(); it++) {
cout << "The bucket number in which {"
<< it->first << ", "
<< it->second << "} is "
<< sample.bucket(it->first) << endl;
}
return 0;
}
Output:
The bucket number in which {15, 150} is 1
The bucket number in which {30, 300} is 2
The bucket number in which {20, 200} is 6
The bucket number in which {10, 100} is 3
The bucket number in which {10, 100} is 3
Program 2:
// C++ program to illustrate the
// unordered_multimap::bucket()
#include <bits/stdc++.h>
using namespace std;
int main()
{
// declaration
unordered_multimap<char, char> sample;
// inserts key and element
sample.insert({ 'a', 'b' });
sample.insert({ 'a', 'b' });
sample.insert({ 'b', 'c' });
sample.insert({ 'r', 'a' });
sample.insert({ 'c', 'b' });
// iterate for all elements and print its bucket number
for (auto it = sample.begin();
it != sample.end(); it++) {
cout << "The bucket number in which {"
<< it->first << ", "
<< it->second << "} is "
<< sample.bucket(it->first) << endl;
}
return 0;
}
Output:
The bucket number in which {c, b} is 1
The bucket number in which {r, a} is 2
The bucket number in which {b, c} is 0
The bucket number in which {a, b} is 6
The bucket number in which {a, b} is 6
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function in C++ STL, vector rbegin() and rend() Functions in C++ STL, array::cbegin() and array::cend() in C++ STL, PHP Tutorial, jQWidgets jqxTreeMap showLegend Property, jQWidgets jqxScrollView animationDuration Property, unordered_multiset end() function in C++ STL, How to Sort an Array Having Optional Properties in TypeScript ?, unordered_multimap find() function in C++ STL | GeeksforGeeks | [-0.0264237933, -0.00306629622, -0.0111431554, -0.00388502702, 0.0228473246, -0.0213185605, -0.0124755651, 0.0330718197, -0.0306314044, 0.0148388399, -0.0214027129, 0.0103366962, 0.011108092, -0.0135905817, -0.0358488411, -0.0130926818, 0.00178385153, 0.00958633889, -0.0374477319, -0.0224546157, 0.0242638867, 0.0143760024, -0.0459471084, -0.00352562708, -0.0223424118, 0.00636401074, -0.0191446282, -0.00122371339, 0.00781213026, 0.0085695, -0.0211502556, 0.017349381, -0.0071038492, -0.0347548611, 0.000116805022, 0.0171530247, 0.00868871529, 0.0297337808, -0.0382331535, -0.00276650395, 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21 Aug, 2018 | unordered_multimap rehash() function in C++ STL
21 Aug, 2018
The unordered_multimap::rehash(N) is a built-in function in C++ STL which sets the number of buckets in the container to N or more. If N is greater than the current number of buckets in the container (bucket_count), a rehash is forced.
The new bucket count can either be equal or greater than N. If n is lower than the current number of buckets in the container (bucket_count), the function may have no effect on the bucket count and may not force a rehash.
A rehash is the reconstruction of the hash table: All the elements in the container are rearranged according to their hash value into the new set of buckets. This may alter the order of iteration of elements within the container, although the relative order of the elements with equivalent keys is preserved. Rehashes are automatically performed by the container whenever its load factor is going to surpass its max_load_factor in an operation. By calling rehash to reserve a certain minimum amount of buckets in the hash table, we avoid the multiple rehashes that the expansion of the container may cause.
Syntax:
unordered_multimap_name.rehash(N)
Parameters: The function accepts a single mandatory parameter N which specifies the minimum number of buckets for the container hash table.
Return Value: The function does not return anything.
Below programs illustrates the above function:
Program 1:
// C++ program to illustrate the
// unordered_multimap::rehash()
#include <bits/stdc++.h>
using namespace std;
int main()
{
// declaration
unordered_multimap<int, int> sample1, sample2;
// the sample1 size is reserved for
// the bucket to contain a minimum of
// one elements
sample1.rehash(1);
// inserts key and element
// in sample1
sample1.insert({ 10, 100 });
sample1.insert({ 50, 500 });
// inserts key and element
// in sample1
// the sample1 size is reserved for
// the bucket to contain a minimum of
// three elements
sample2.rehash(3);
sample2.insert({ 20, 200 });
sample2.insert({ 30, 300 });
sample2.insert({ 30, 150 });
cout << "The size of Sample1 is: " << sample1.size();
cout << "\nKey and Elements of Sample1 are:";
for (auto it = sample1.begin(); it != sample1.end(); it++) {
cout << "{" << it->first << ", " << it->second << "} ";
}
cout << "\n\nThe size of Sample2 is: " << sample2.size();
cout << "\nKey and Elements of Sample2 are:";
for (auto it = sample2.begin(); it != sample2.end(); it++) {
cout << "{" << it->first << ", " << it->second << "} ";
}
return 0;
}
Output:
The size of Sample1 is: 2
Key and Elements of Sample1 are:{50, 500} {10, 100}
The size of Sample2 is: 3
Key and Elements of Sample2 are:{30, 150} {30, 300} {20, 200}
Program 2:
// C++ program to illustrate the
// unordered_multimap::rehash()
#include <bits/stdc++.h>
using namespace std;
int main()
{
// declaration
unordered_multimap<char, char> sample1, sample2;
// the sample1 size is reserved for
// the bucket to contain a minimum of
// one elements
sample1.rehash(1);
// inserts key and element
// in sample1
sample1.insert({ 'a', 'A' });
sample1.insert({ 'g', 'G' });
// inserts key and element
// in sample1
// the sample1 size is reserved for
// the bucket to contain a minimum of
// three elements
sample2.rehash(3);
sample2.insert({ 'b', 'B' });
sample2.insert({ 'c', 'C' });
sample2.insert({ 'd', 'D' });
cout << "The size of Sample1 is: " << sample1.size();
cout << "\nKey and Elements of Sample1 are:";
for (auto it = sample1.begin(); it != sample1.end(); it++) {
cout << "{" << it->first << ", " << it->second << "} ";
}
cout << "\n\nThe size of Sample2 is: " << sample2.size();
cout << "\nKey and Elements of Sample2 are:";
for (auto it = sample2.begin(); it != sample2.end(); it++) {
cout << "{" << it->first << ", " << it->second << "} ";
}
return 0;
}
Output:
The size of Sample1 is: 2
Key and Elements of Sample1 are:{g, G} {a, A}
The size of Sample2 is: 3
Key and Elements of Sample2 are:{d, D} {c, C} {b, B}
Reference: http://www.cplusplus.com/reference/unordered_map/unordered_multimap/rehash/
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function in C++ STL, std::bitset::to_ullong and std::bitset::to_ulong in C++ STL, unordered_multiset emplace_hint() function in C++ STL, multimap::begin() and multimap::end() in C++ STL, forward_list max_size() in C++ STL with Examples, unordered_multimap max_size() function in C++ STL, unordered_multiset bucket_count() function in C++ STL, unordered_multiset find() function in C++STL, unordered_multimap bucket_count() function in C++ STL, unordered_multiset bucket() function in C++ STL, Impact of Three-way Handshake and Slow Start Algorithm, array::rbegin() and array::rend() in C++ STL, multimap value_comp() function in C++ STL, How to declare a module in TypeScript ?, Node.js date-and-time Date.isLeapYear() Method, jQWidgets jqxTreeMap selectionEnabled Property, jQWidgets jqxSplitter orientation Property, unordered_multimap load_factor() function in C++ STL, multiset::emplace() in C++ STL, unordered_set equal_range in C++ STL, jQWidgets jqxSwitchButton orientation Property, SSL vs HTTPS – Which One is More Secure?, unordered_multimap equal_range() function in C++ STL, unordered_set count() function in C++ STL, vector rbegin() and rend() Functions in C++ STL, array::cbegin() and array::cend() in C++ STL, PHP Tutorial, jQWidgets jqxTreeMap showLegend Property, jQWidgets jqxScrollView animationDuration Property, unordered_multiset end() function in C++ STL, How to Sort an Array Having Optional Properties in TypeScript ?, unordered_multimap find() function in C++ STL | GeeksforGeeks | [-0.0463604331, 0.0120742526, -0.0125730671, 0.0300755985, 0.0566594936, 0.00681835832, -0.00809840485, 0.0243832413, -0.0275081694, 0.0172971375, 0.0021731453, 0.0376165025, 0.0172677953, -0.0285204705, 0.0175465439, -0.0338313803, -0.0225787051, 0.00601145206, -0.0306624398, -0.0416070223, 0.000477725203, 0.0172531232, -0.02623179, -0.00334682735, -0.0157566797, 0.0143702673, -0.01067317, -0.0137907621, 0.00930876471, 0.0222852845, -0.00793702342, 0.0209942348, -0.000317260885, 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23 Jun, 2021 | unordered_multiset rehash() function in C++ STL
23 Jun, 2021
The unordered_multiset::rehash() is a built-in function in C++ STL which sets the number of buckets in the container to N or more. If N is greater than the current number of buckets in the container (bucket_count), a rehash is forced.The new bucket count can either be equal or greater than N. If n is lower than the current number of buckets in the container (bucket_count), the function may have no effect on the bucket count and may not force a rehash.
A rehash is the reconstruction of the hash table: All the elements in the container are rearranged according to their hash value into the new set of buckets. This may alter the order of iteration of elements within the container, although the relative order of the elements with equivalent keys is preserved. Rehashes are automatically performed by the container whenever its load factor is going to surpass its max_load_factor in an operation. By calling rehash to reserve a certain minimum amount of buckets in the hash table, we avoid the multiple rehashes that the expansion of the container may cause.
Syntax:
unordered_multset_name.rehash(N);
Parameters: The function accepts only one parameter as listed below:
count: It is the new number of buckets.
Return Value: none(void type function)
Below programs illustrate the above method:
Program 1:
C++
// C++ program to illustrate
// unordered_multiset::rehash()
#include <iostream>
#include <unordered_set>
using namespace std;
// function to display values in multiset
void display(unordered_multiset<int> s)
{
for (auto it = s.begin(); it != s.end(); it++)
cout << *it << endl;
}
int main()
{
// declaration
unordered_multiset<int> s1;
// inserting initial values
s1.insert(1);
s1.insert(2);
s1.insert(3);
// displaying Initial values
cout << "Initial values are:\n";
display(s1);
cout << endl;
// displaying initial parameters
cout << "initial parameters are: \n";
cout << "bucketcount() = " << s1.bucket_count() << endl;
cout << "load factor = " << s1.load_factor() << endl;
cout << "Max_load_factor = " << s1.max_load_factor() << endl;
cout << endl;
// performing rehash
s1.rehash(200);
// displaying final parameters
cout << "final parameters are: \n";
cout << "bucketcount() = " << s1.bucket_count() << endl;
cout << "load factor = " << s1.load_factor() << endl;
cout << "Max_load_factor = " << s1.max_load_factor() << endl;
cout << endl;
return 0;
}
Output:
Initial values are:
3
1
2
initial parameters are:
bucketcount() = 7
load factor = 0.428571
Max_load_factor = 1
final parameters are:
bucketcount() = 211
load factor = 0.014218
Max_load_factor = 1
Program 2:
C++
// C++ program to illustrate
// unordered_multiset::rehash()
#include <iostream>
#include <unordered_set>
using namespace std;
// function to display values in multiset
void display(unordered_multiset<char> s)
{
for (auto it = s.begin(); it != s.end(); it++)
cout << *it << endl;
}
int main()
{
// declaration
unordered_multiset<char> s1;
// inserting initial values
s1.insert('a');
s1.insert('b');
s1.insert('c');
// displaying Initial values
cout << "Initial values are:\n";
display(s1);
cout << endl;
// displaying initial parameters
cout << "initial parameters are: \n";
cout << "bucketcount() = " << s1.bucket_count() << endl;
cout << "load factor = " << s1.load_factor() << endl;
cout << "Max_load_factor = " << s1.max_load_factor() << endl;
cout << endl;
// performing rehash
s1.rehash(200);
// displaying final parameters
cout << "final parameters are: \n";
cout << "bucketcount() = " << s1.bucket_count() << endl;
cout << "load factor = " << s1.load_factor() << endl;
cout << "Max_load_factor = " << s1.max_load_factor() << endl;
cout << endl;
return 0;
}
Output:
Initial values are:
c
a
b
initial parameters are:
bucketcount() = 7
load factor = 0.428571
Max_load_factor = 1
final parameters are:
bucketcount() = 211
load factor = 0.014218
Max_load_factor = 1
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in C++ STL/unordered_multimap bucket() function in C++ STL/unordered_multimap rehash() function in C++ STL/unordered_multiset rehash() function in C++ STL | https://www.geeksforgeeks.org/unordered_multiset-rehash-function-in-c-stl?ref=asr3 | PHP | unordered_multiset rehash() function in C++ STL | unordered_multiset clear() function in C++ STL, What is SSL, Optional Property Class in TypeScript, jQWidgets jqxScrollBar step Property, unordered_map max_size in C++ STL, jQWidgets jqxTreeMap width Property, Round Robin Scheduling Algorithm with Different Arrival Time, Difference between Flow and TypeScript, set::begin() and set::end() in C++ STL, unordered_multiset emplace() function in C++ STL, jQWidgets jqxTree destroy() Method, unordered_set bucket_count() function in C++ STL, unordered_map load_factor in C++ STL, jQWidgets jqxTree collapseAll() Method, Find the order of execution of given N processes in Round Robin Scheduling, jQWidgets jqxScrollView buttonsOffset Property, jQWidgets 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23 Jun, 2022 | unordered_multiset key_eq() function in C++ STL
23 Jun, 2022
The unordered_multiset::key_eq() is a built-in function in C++ STL which returns a boolean value according to the comparison. It depends on the key equivalence comparison predicate used by the unordered_multiset container. The key equivalence comparison is a predicate which takes two arguments and returns a boolean value indicating whether they are to be considered equivalent. It returns true if they are equivalent else it returns false. It is adopted by the container on construction and is similar to the (==) operator used in the comparison. Syntax:
unordered_multiset_name.key_eq()(args1, args2)
Parameter: The function accepts two mandatory parameters args1 and args2, between whom the comparison is to be done. The data_type is same as that of the unordered_multiset. Return Value: The function returns a boolean value. Below programs illustrate the unordered_multiset::key_eq() function: Program 1:
CPP
// CPP program to illustrate the
// unordered_multiset::key_eq() function
#include <iostream>
#include <string>
#include <unordered_set>
using namespace std;
int main()
{
unordered_multiset<string> sampleSet;
bool answer = sampleSet.key_eq()("GEEKS", "geeks");
// checks if both are same
if (answer)
cout << "GEEKS and geeks are treated similarly in the container\n";
else
cout << "GEEKS and geeks are treated dissimilarly in the container\n";
return 0;
}
Output:
GEEKS and geeks are treated dissimilarly in the container
Time Complexity-O(1)
Program 2:
CPP
// CPP program to illustrate the
// unordered_multiset::key_eq() function
#include <iostream>
#include <string>
#include <unordered_set>
using namespace std;
int main()
{
unordered_multiset<int> sampleSet;
bool answer = sampleSet.key_eq()(100, 200);
// check
if (answer)
cout << "100 and 200 are treated similarly in the container\n";
else
cout << "100 and 200 are treated dissimilarly in the container\n";
answer = sampleSet.key_eq()(100, 100);
if (answer)
cout << "100 and 100 are treated similarly in the container\n";
else
cout << "100 and 100 are treated dissimilarly in the container\n";
return 0;
}
Output:
100 and 200 are treated dissimilarly in the container
100 and 100 are treated similarly in the container
Time Complexity: O(1)
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17 Dec, 2018 | unordered_map key_eq() function in C++ STL
17 Dec, 2018
unordered_map::key_eq() is a built-in function in C++ STL which returns a boolean value according to the comparison. It depends on the key equivalence comparison predicate used by the unordered_map container. The key equivalence comparison is a predicate which takes two arguments and returns a boolean value indicating whether they are to be considered equivalent. It returns true if they are equivalent else it returns false. It is adopted by the container on construction and is similar to the (==) operator used in the comparison.
Syntax
unordered_map_name.key_eq()(args1, args2)
Parameter: The function accepts two mandatory parameters args1 and args2, between whom the comparison is to be done. The data_type is same as that of the unordered_map.
Return Value: The function returns a boolean value.
Below programs illustrate the unordered_map::key_eq() function.
Example 1:
// CPP program to illustrate the
// unordered_map::key_eq() function
#include <bits/stdc++.h>
using namespace std;
int main()
{
// Declaring unordered_map
unordered_map<string, string> sample;
// check details
bool answer
= sample.key_eq()("GEEKS", "geeks");
// checks if both are same
if (answer)
cout << "GEEKS and geeks are treated"
<< " similarly in the container\n";
else
cout << "GEEKS and geeks are treated"
<< " dissimilarly in the container\n";
return 0;
}
Output:
GEEKS and geeks are treated dissimilarly in the container
Example 2:
// CPP program to illustrate the
// unordered_map::key_eq() function
#include <bits/stdc++.h>
using namespace std;
int main()
{
unordered_map<int, int> sample;
bool answer = sample.key_eq()(100, 200);
// check
if (answer)
cout << "100 and 200 are treated "
<< "similarly in the container\n";
else
cout << "100 and 200 are treated"
<< " dissimilarly in the container\n";
answer = sample.key_eq()(100, 100);
if (answer)
cout << "100 and 100 are treated "
<< "similarly in the container\n";
else
cout << "100 and 100 are treated "
<< "dissimilarly in the container\n";
return 0;
}
Output:
100 and 200 are treated dissimilarly in the container
100 and 100 are treated similarly in the container
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14 Dec, 2018 | unordered_map max_bucket_count in C++ STL
14 Dec, 2018
The unordered_map::max_bucket_count is a built in function in C++ STL. It returns the maximum number of buckets unordered_map container can have.
Syntax
unordered_map.max_bucket_count()
Parameters : It does not accept any parameter.
Return Type : Returns maximum number of buckets. Return type is an unsigned integer.
Example-1:
// C++ program to illustrate the
// unordered_map::max_bucket_count function
#include <bits/stdc++.h>
using namespace std;
int main()
{
// declaration of unordered_map
unordered_map<int, int> sample;
cout << "Size is : " << sample.size() << endl;
cout << "Max bucket count is : " << sample.max_bucket_count() << endl;
// insert elements
sample.insert({ 5, 10 });
sample.insert({ 10, 10 });
sample.insert({ 15, 10 });
sample.insert({ 20, 10 });
sample.insert({ 21, 10 });
cout << "Size is : " << sample.size() << endl;
cout << "Max bucket count is : " << sample.max_bucket_count() << endl;
return 0;
}
Output:
Size is : 0
Max bucket count is : 1152921504606846975
Size is : 5
Max bucket count is : 1152921504606846975
Example-2:
// C++ program to illustrate the
// unordered_map::max_bucket_count function
#include <bits/stdc++.h>
using namespace std;
int main()
{
// declaration of unordered_map
unordered_map<char, int> sample;
cout << "Size is : " << sample.size() << endl;
cout << "Max bucket count is : " << sample.max_bucket_count() << endl;
// insert elements
sample.insert({ 'a', 10 });
sample.insert({ 'b', 10 });
sample.insert({ 'c', 10 });
sample.insert({ 'd', 10 });
sample.insert({ 'e', 10 });
sample.insert({ 'f', 10 });
cout << "Size is : " << sample.size() << endl;
cout << "Max bucket count is : " << sample.max_bucket_count() << endl;
return 0;
}
Output:
Size is : 0
Max bucket count is : 1152921504606846975
Size is : 6
Max bucket count is : 1152921504606846975
Complexity: Its Complexity is constant.
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19 Sep, 2018 | unordered_map end( ) function in C++ STL
19 Sep, 2018
The unordered_map::end() is a built-in function in C++ STL which returns an iterator pointing to the position past the last element in the container in the unordered_map container. In an unordered_map object, there is no guarantee that which specific element is considered its first element. But all the elements in the container are covered since the range goes from its begin to its end until invalidated.
Syntax:
iterator unordered_map_name.end(n)
Parameters : This function accepts one parameter n which is an optional parameter that specifies the bucket number. If it is set, the iterator retrieves points to the past-the-end element of a bucket, otherwise, it points to the past-the-end element of the container.
Return value: The function returns an iterator to the element past the end of the container.
Below programs illustrates the above-mentioned function:
Program 1:
// CPP program to demonstrate the
// unordered_map::end() function
// returning all the elements of the multimap
#include <iostream>
#include <string>
#include <unordered_map>
using namespace std;
int main()
{
unordered_map<string, int> marks;
// Declaring the elements of the multimap
marks = { { "Rohit", 64 }, { "Aman", 37 }, { "Ayush", 96 } };
// Printing all the elements of the multimap
cout << "marks bucket contains : " << endl;
for (int i = 0; i < marks.bucket_count(); ++i) {
cout << "bucket #" << i << " contains:";
for (auto iter = marks.begin(i); iter != marks.end(i); ++iter) {
cout << "(" << iter->first << ", " << iter->second << "), ";
}
cout << endl;
}
return 0;
}
Output:
marks bucket contains :
bucket #0 contains:
bucket #1 contains:
bucket #2 contains:
bucket #3 contains:(Aman, 37), (Rohit, 64),
bucket #4 contains:(Ayush, 96),
Program 2:
// CPP program to demonstrate the
// unordered_map::end() function
// returning the elements along
// with their bucket number
#include <iostream>
#include <string>
#include <unordered_map>
using namespace std;
int main()
{
unordered_map<string, int> marks;
// Declaring the elements of the multimap
marks = { { "Rohit", 64 }, { "Aman", 37 }, { "Ayush", 96 } };
// Printing all the elements of the multimap
for (auto iter = marks.begin(); iter != marks.end(); ++iter) {
cout << "Marks of " << iter->first << " is "
<< iter->second << " and his bucket number is "
<< marks.bucket(iter->first) << endl;
}
return 0;
}
Output:
Marks of Ayush is 96 and his bucket number is 4
Marks of Aman is 37 and his bucket number is 3
Marks of Rohit is 64 and his bucket number is 3
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using JavaScript, jQWidgets jqxScrollView slideDuration Property, jQWidgets jqxScrollBar rtl Property, jQWidgets jqxTabs position Property, unordered_map max_bucket_count in C++ STL, unordered_multimap bucket() function in C++ STL, Differences between Wireless Adhoc Network and Wireless Sensor Network, jQWidgets jqxTabs keyboardNavigation Property, Calculation of TCP Checksum, unordered_multimap begin() and end() function in C++ STL, std::bitset::to_ullong and std::bitset::to_ulong in C++ STL, unordered_multiset emplace_hint() function in C++ STL, multimap::begin() and multimap::end() in C++ STL, forward_list max_size() in C++ STL with Examples, unordered_multimap max_size() function in C++ STL, unordered_multiset bucket_count() function in C++ STL, unordered_multiset find() function in C++STL, unordered_multimap bucket_count() function in C++ STL, unordered_multiset bucket() function in C++ STL, Impact of Three-way Handshake and Slow Start Algorithm, array::rbegin() and array::rend() in C++ STL, multimap value_comp() function in C++ STL, How to declare a module in TypeScript ?, Node.js date-and-time Date.isLeapYear() Method, jQWidgets jqxTreeMap selectionEnabled Property, jQWidgets jqxSplitter orientation Property, unordered_multimap load_factor() function in C++ STL, multiset::emplace() in C++ STL, unordered_set equal_range in C++ STL, jQWidgets jqxSwitchButton orientation Property, SSL vs HTTPS – Which One is More Secure?, unordered_multimap equal_range() function in C++ STL, unordered_set count() function in C++ STL, vector rbegin() and rend() Functions in C++ STL, array::cbegin() and array::cend() in C++ STL, PHP Tutorial, jQWidgets jqxTreeMap showLegend Property, jQWidgets jqxScrollView animationDuration Property, unordered_multiset end() function in C++ STL, How to Sort an Array Having Optional Properties in TypeScript ?, unordered_multimap find() function in C++ STL | GeeksforGeeks | [-0.041343, -0.0172359142, -0.00678057084, 0.0166415721, 0.0110170683, 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19 Sep, 2022 | unordered_map emplace_hint() function in C++ STL
19 Sep, 2022
The unordered_map::emplace_hint() is a built-in function in C++ STL which inserts the key and its element in the unordered_map container with a given hint. It effectively increases the container size by one as unordered_map is the container that stores keys with the element value. The hint provided does not affect the position to be entered, it only increases the speed of insertion as it points to the position from where the search for the ordering is to be started. It inserts in the same order which is followed by the container. It works similarly to unordered_map::emplace() function but is at times faster than it if the user provides position accurately. It does not insert the key with the element if it is already present in the map container as the map stores unique key only. Syntax:
unordered_map_name.emplace_hint(position, key, element)
Parameters: The function accepts the following parameters which are described below.
position: specifies the position from where the search operation for the ordering is to be started, hence making the insertion faster.
key: specifies the key to be inserted in the unordered_map container.
element: specifies the element to the key which is to be inserted in the unordered_map container.
Return Type: This function does not return anything. Time Complexity: O(n) in worst case. Below programs illustrate emplace_hint() method: Example 1:
CPP
// C++ program to illustrate the
// unordered_map::emplace_hint() function
#include <bits/stdc++.h>
using namespace std;
int main()
{
// initialize container
unordered_map<int, int> mp;
// insert elements in random order
mp.emplace_hint(mp.begin(), 2, 30);
mp.emplace_hint(mp.begin(), 1, 40);
mp.emplace_hint(mp.begin(), 3, 60);
// prints the elements
cout << "\nThe unordered_map is : \n";
cout << "KEY\tELEMENT\n";
for (auto itr = mp.begin(); itr != mp.end(); itr++)
cout << itr->first << "\t"
<< itr->second << endl;
return 0;
}
Output:
The unordered_map is :
KEY ELEMENT
3 60
2 30
1 40
Example 2
CPP
// C++ program to illustrate the
// unordered_map::emplace_hint() function
#include <bits/stdc++.h>
using namespace std;
int main()
{
// initialize container
unordered_map<char, int> mp;
// insert elements in random order
mp.emplace_hint(mp.begin(), 'b', 30);
mp.emplace_hint(mp.begin(), 'a', 40);
mp.emplace_hint(mp.begin(), 'c', 60);
// prints the elements
cout << "\nThe unordered_map is : \n";
cout << "KEY\tELEMENT\n";
for (auto itr = mp.begin(); itr != mp.end(); itr++)
cout << itr->first << "\t"
<< itr->second << endl;
return 0;
}
Output:
The unordered_map is :
KEY ELEMENT
c 60
b 30
a 40
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05 Jun, 2023 | unordered_set emplace_hint() function in C++ STL
05 Jun, 2023
The unordered_set::emplace_hint() function is an inbuilt function in C++ STL which inserts a new element in the unordered_set only if the value to be inserted is unique, with a given hint.
Syntax:
unordered_set_name.emplace_hint( position, value )
Parameter: This function accepts two parameters as mentioned above and described below:
position: This parameter is used to describe the position for inserted operation.
value: This parameter is used to hold the which needs to insert.
Return Value: If the value is not present in the unordered_set, then the function inserts the value and returns an iterator pointing to the inserted element. Else, if the value is already present in the unordered_set, then the function returns the iterator pointing to that element.
Below program illustrates the unordered_set::emplace_hint() function in C++ STL:
Program 1:
CPP
// CPP program to illustrate
// unordered_set::emplace_hint() function
#include <iostream>
#include <unordered_set>
using namespace std;
// main program
int main()
{
// Initialize an unordered_set
unordered_set<int> uset = { 20, 40, 50, 60 };
// Insert an element that is not present
uset.emplace_hint(uset.begin(), 80);
// Display uset
cout << "uset: ";
for (auto it = uset.begin(); it != uset.end(); it++)
cout << *it << " ";
}
Output:
uset: 80 20 40 50 60
Program 2:
CPP
// CPP program to illustrate
// unordered_set::emplace_hint() function
#include <iostream>
#include <unordered_set>
using namespace std;
// main program
int main()
{
// Initialize an unordered_set
unordered_set<int> uset = { 20, 40, 50, 60 };
// Try to Insert an element that is not present
uset.emplace_hint(uset.begin(), 50);
// Display uset
cout << "uset: ";
for (auto it = uset.begin(); it != uset.end(); it++)
cout << *it << " ";
}
Output:
uset: 60 50 40 20
Time complexity: O(n)
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C++ STL/multiset::emplace() in C++ STL/multiset find() function in C++ STL/multiset cbegin() and cend() function in C++ STL/multimap::cbegin() and multimap::cend() in C++ STL/multimap::begin() and multimap::end() in C++ STL/set::begin() and set::end() in C++ STL/unordered_multimap begin() and end() function in C++ STL/unordered_multimap empty() function in C++ STL/unordered_multimap find() function in C++ STL/unordered_multimap equal_range() function in C++ STL/unordered_multimap bucket_count() function in C++ STL/unordered_multimap bucket_size() function in C++ STL/unordered_multimap operator= in C++/unordered_multimap load_factor() function in C++ STL/unordered_map load_factor in C++ STL/unordered_map operator= in C++ STL/unordered_map swap in C++ STL/unordered_map rehash in C++ STL/unordered_map max_size in C++ STL/forward_list max_size() in C++ STL with Examples/list max_size() function in C++ STL/multiset max_size() in C++ STL with Examples/unordered_multimap max_size() function in C++ STL/unordered_multimap bucket() function in C++ STL/unordered_multimap rehash() function in C++ STL/unordered_multiset rehash() function in C++ STL/unordered_multiset key_eq() function in C++ STL/unordered_map key_eq() function in C++ STL/unordered_map max_bucket_count in C++ STL/unordered_map end( ) function in C++ STL/unordered_map emplace_hint() function in C++ STL/unordered_set emplace_hint() function in C++ STL | https://www.geeksforgeeks.org/unordered_set-emplace_hint-function-in-c-stl?ref=asr7 | PHP | unordered_set emplace_hint() function in C++ STL | unordered_multiset clear() function in C++ STL, What is SSL, Optional Property Class in TypeScript, jQWidgets jqxScrollBar step Property, unordered_map max_size in C++ STL, jQWidgets jqxTreeMap width Property, Round Robin Scheduling Algorithm with Different Arrival Time, Difference between Flow and TypeScript, set::begin() and set::end() in C++ STL, unordered_multiset emplace() function in C++ STL, jQWidgets jqxTree 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05 Jun, 2023 | unordered_set swap() function in C++ STL
05 Jun, 2023
The unordered_set::swap() method is a builtin function in C++ STL which is used to exchange values of two unordered_set containers. It swaps the element of two unordered_set containers. The sizes may differ but it swaps elements and changes the order of elements also.Syntax:
unordered_set_firstname.swap(unordered_set_secondname)
Parameter: The function accepts one mandatory parameter second_name which specifies the second unordered_set which is to be swapped with the first one. Return Value: This function doesn’t returns anything.Below program illustrates the unordered_set::swap() function:
CPP
// C++ program to illustrate the
// unordered_set_swap() function
#include <iostream>
#include <unordered_set>
using namespace std;
int main()
{
unordered_set<int> arr1 = { 1, 2, 3, 4, 5 };
unordered_set<int> arr2 = { 5, 6, 7, 8, 9 };
cout << "The elements of arr1 before swap(): ";
for (auto it = arr1.begin(); it != arr1.end(); it++) {
cout << *it << " ";
}
cout << "\nThe elements of arr2 before swap(): ";
for (auto it = arr2.begin(); it != arr2.end(); it++) {
cout << *it << " ";
}
// inbuilt swap function to swap
// elements of two unordered_set
swap(arr1, arr2);
cout << "\n\nThe elements of arr1 after swap(): ";
// element
for (auto it = arr1.begin(); it != arr1.end(); it++) {
cout << *it << " ";
}
cout << "\nThe elements of arr2 after swap(): ";
for (auto it = arr2.begin(); it != arr2.end(); it++) {
cout << *it << " ";
}
return 0;
}
Output:
The elements of arr1 before swap(): 5 1 2 3 4
The elements of arr2 before swap(): 9 5 6 7 8
The elements of arr1 after swap(): 9 5 6 7 8
The elements of arr2 after swap(): 5 1 2 3 4
Time complexity: O(1)Auxiliary Space: O(1)
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05 Jun, 2023 | unordered_set begin() function in C++ STL
05 Jun, 2023
The unordered_set::begin() method is a builtin function in C++ STL which is used to return an iterator pointing to the first element in the unordered_set container. All of the iterators of an unordered_set can be used to only access the elements, iterators are not allowed to modify elements present in an unordered_set container.
Note: This iterator can point to either the very first element or the first element of any specified bucket in the unordered_set container.
Syntax:
unordered_set_name.begin(n)
Parameter: This is an optional parameter and specifies the bucket number. If this parameter is not passed then the begin() method will return an iterator pointing to the first element of the container and if this parameter is passed then the begin() method will return an iterator pointing to the first element of the specific bucket in the unordered_set container.
Return Value: This function returns an iterator pointing to the first element in the container or a specified bucket in the container. Below program illustrate the unordered_set::begin() function:
CPP
// CPP program to illustrate the
// unordered_set::begin() function
#include <iostream>
#include <unordered_set>
using namespace std;
int main()
{
unordered_set<int> sampleSet;
// Inserting elements in the std
sampleSet.insert(5);
sampleSet.insert(10);
sampleSet.insert(15);
sampleSet.insert(20);
sampleSet.insert(25);
auto itr1 = sampleSet.begin();
auto itr2 = sampleSet.begin(4);
cout << "First element in the container is: " << *itr1;
cout << "\nFirst element in the bucket 4 is: " << *itr2;
return 0;
}
Output:
First element in the container is: 25
First element in the bucket 4 is: 15
Time Complexity: O(1)Auxiliary Space: O(1)
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05 Jun, 2023 | unordered_set end() in C++ STL
05 Jun, 2023
The unordered_set::end() function is a built-in function in C++ STL which returns an iterator pointing to the past-the-end-element. This iterator does not directly point to an element, rather it points to the location just after the last element.
Syntax
umap_name.end()
or,
umap_name.end(int i)
Parameters: This function takes a single integer parameter which is optional.
Return value:
If the parameter is not passed then the function returns an iterator pointing to the past-the-end element. Actually, it does not point to any element of the set, but it points to the position following the last element of the container.If the parameter is passed then the function returns an iterator pointing to the past-the-end element of i-th bucket. As in the previous case, it does not point to any element of the set, but it points to the position following the last element of i-th bucket. So the iterator returned by unordered_set::end() cannot be dereferenced.
Below programs illustrate the unordered_set::end() function:
Program 1:
CPP
// CPP program to illustrate the unordered_set::end() // function #include <iostream> #include <unordered_set> using namespace std; int main() { unordered_set<int> sampleSet = { 5, 10, 15, 4, 2, 7, 8, 6 }; // Continue the loop until it points to the // past-the-end position returned by sampleSet.end() for (auto it = sampleSet.begin(); it != sampleSet.end(); it++) { cout << *it << " "; } return 0; }
Output:6 8 7 2 4 15 10 5
Time Complexity: O(1)
Auxiliary Space: O(1)
Program 2:
CPP
// CPP program to illustrate the // unordered_set::end() function #include <iostream> #include <unordered_set> using namespace std; int main() { unordered_set<int> sampleSet = { 5, 10, 15, 4, 2, 7, 8, 6 }; // displaying all the buckets of the set. // Continue the loop until it points to the // past-the-end position returned by sampleset.end(i) for (unsigned i = 0; i < sampleSet.bucket_count(); ++i) { cout << "Bucket " << i << " Contains: "; for (auto it1 = sampleSet.begin(i); it1 != sampleSet.end(i); ++it1) cout << " " << *it1; cout << endl; } return 0; }
Output:Bucket 0 Contains:
Bucket 1 Contains:
Bucket 2 Contains: 2
Bucket 3 Contains:
Bucket 4 Contains: 4 15
Bucket 5 Contains: 5
Bucket 6 Contains: 6
Bucket 7 Contains: 7
Bucket 8 Contains: 8
Bucket 9 Contains:
Bucket 10 Contains: 10
Time Complexity: O(1)
Auxiliary Space: O(1)
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05 Jun, 2023 | unordered_set cend() function in C++ STL
05 Jun, 2023
The unordered_set::cend() method is a built-in function in C++ STL which is used to return a const_iterator pointing to past-the-end element in the unordered_set container or in one of it’s bucket. This function does not directly point to any element in the container. It is only used to denote the end of a container or the open end of a range as in [cbegin, cend).
Note: A const_iterator can only be used to access elements, it cannot modify the elements present in the container.
Syntax:
unordered_set_name.cend(n);
Parameter: This function accepts a single parameter n. This is an optional parameter and specifies the bucket number. If this parameter is not passed then the cend() method will return a const_iterator pointing to the position just after the last element of the container and if this parameter is passed then the cend() method will return a const_iterator pointing to the position just after the last element in a specific bucket in the unordered_set container.
Return Value: This function returns a const_iterator pointing to the position just after the last element in the container or a specified bucket in the container. Below programs illustrate the unordered_set::cend() function:
Program 1:
CPP
// C++ program to illustrate the
// unordered_set::cend() function
#include <iostream>
#include <unordered_set>
using namespace std;
int main()
{
unordered_set<int> sampleSet;
// Inserting elements in the std
sampleSet.insert(5);
sampleSet.insert(10);
sampleSet.insert(15);
sampleSet.insert(20);
sampleSet.insert(25);
// Here, the cend() method is used to
// iterate in the range of elements
// present in the unordered_set container
cout << "Elements present in sampleSet are: \n";
for (auto itr = sampleSet.cbegin(); itr != sampleSet.cend();
itr++) {
cout << *itr << endl;
}
return 0;
}
Output:
Elements present in sampleSet are:
25
5
10
15
20
Program 2:
CPP
// C++ program to illustrate the
// unordered_set::cend() function
#include <iostream>
#include <unordered_set>
using namespace std;
int main()
{
unordered_set<string> sampleSet;
// Inserting elements
sampleSet.insert("Welcome");
sampleSet.insert("To");
sampleSet.insert("GeeksforGeeks");
sampleSet.insert("Computer Science Portal");
sampleSet.insert("For Geeks");
// Here, the cend() method is used to
// iterate in the range of elements
// present in the unordered_set container
cout << "Elements present in sampleSet are: \n";
for (auto itr = sampleSet.cbegin(); itr != sampleSet.cend();
itr++) {
cout << *itr << endl;
}
return 0;
}
Output:
Elements present in sampleSet are:
Welcome
To
GeeksforGeeks
For Geeks
Computer Science Portal
Time complexity: O(1)
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function in C++ STL, multimap::begin() and multimap::end() in C++ STL, unordered_set emplace_hint() function in C++ STL, forward_list max_size() in C++ STL with Examples, unordered_multimap max_size() function in C++ STL, unordered_multiset bucket_count() function in C++ STL, unordered_multiset find() function in C++STL, unordered_multimap bucket_count() function in C++ STL, unordered_multiset bucket() function in C++ STL, Impact of Three-way Handshake and Slow Start Algorithm, array::rbegin() and array::rend() in C++ STL, multimap value_comp() function in C++ STL, How to declare a module in TypeScript ?, Node.js date-and-time Date.isLeapYear() Method, jQWidgets jqxTreeMap selectionEnabled Property, jQWidgets jqxSplitter orientation Property, unordered_multimap load_factor() function in C++ STL, multiset::emplace() in C++ STL, unordered_set equal_range in C++ STL, jQWidgets jqxSwitchButton orientation Property, SSL vs HTTPS – Which One is More Secure?, unordered_multimap equal_range() function in C++ STL, unordered_set count() function in C++ STL, vector rbegin() and rend() Functions in C++ STL, array::cbegin() and array::cend() in C++ STL, PHP Tutorial, jQWidgets jqxTreeMap showLegend Property, jQWidgets jqxScrollView animationDuration Property, unordered_multiset end() function in C++ STL, How to Sort an Array Having Optional Properties in TypeScript ?, unordered_multimap find() function in C++ STL | GeeksforGeeks | [-0.037143264, -0.0139940148, -0.00982990675, 0.0258116666, 0.0180347953, -0.0459938087, -0.0208640676, 0.023316104, -0.0192390513, -0.0221698862, -0.0259277392, 0.00766079826, -0.0165403597, -0.0307012293, 0.0153070875, -0.0202837046, 0.00477349, 0.0169321056, 0.0309914108, -0.0125938887, 0.00699700741, 0.0101491073, -0.020544868, -0.0235917773, 0.0102434158, 0.0291632675, -0.0358084291, 0.00369981746, -0.00447605364, 0.00119337253, -0.0144147789, 0.0101708705, 0.033806175, -0.0090536708, -0.00589069, 0.0466031916, 0.037752647, 0.0230839588, 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18 Dec, 2018 | unordered_map cend in C++ STL
18 Dec, 2018
The unordered_map::cend() is a built-in function in C++ STL which returns an iterator pointing to the position past the end element in the container or in one of its bucket. In an unordered_map object, there is no guarantee that which specific element is considered its first element. But all the elements in the container are covered since the range goes from its begin to its end until invalidated.
There are two variant of this function.
Syntax-1:
unordered_map.cend()
Parameters: This function does not accept any parameter.
Return type: The function returns an iterator to the element past the end of the container.
// CPP program to illustrate
// unordered_map cend()
#include <bits/stdc++.h>
using namespace std;
int main()
{
unordered_map<int, int> ump;
// inserting data into unordered_map
ump[1] = 2;
ump[3] = 4;
ump[5] = 6;
// here 'it' can not be modified
for (auto it = ump.cbegin(); it != ump.cend(); ++it)
cout << it->first << " " << it->second << endl;
return 0;
}
Output:
5 6
1 2
3 4
Syntax-2:
unordered_map.cend ( size n )
Parameters: This function accepts parameter size n which should be lower than bucket count.
Return type: The function returns an iterator to the one of its bucket count.
// CPP program to illustrate
// unordered_map cend()
#include <bits/stdc++.h>
using namespace std;
int main()
{
unordered_map<int, int> ump;
// inserting data into unordered_map
ump[1] = 2;
ump[3] = 4;
ump[5] = 6;
cout << "unordered_map bucket contains \n";
for (int i = 0; i < ump.bucket_count(); i++) {
cout << "Bucket " << i << " contains ";
for (auto it = ump.cbegin(i); it != ump.cend(i); ++it)
cout << it->first << " " << it->second;
cout << endl;
}
return 0;
}
Output:
unordered_map bucket contains
Bucket 0 contains
Bucket 1 contains 1 2
Bucket 2 contains
Bucket 3 contains 3 4
Bucket 4 contains
Bucket 5 contains 5 6
Bucket 6 contains
How is cend() different from end()?
cend() is const version of end(). Similarly cbegin() is a const version of begin(). For example, the following code shows compiler error because we try to modify value in iterator.
// CPP program to illustrate
// unordered_map cend()
#include <bits/stdc++.h>
using namespace std;
int main()
{
unordered_map<int, int> ump;
// inserting data into unordered_map
ump[1] = 2;
ump[3] = 4;
ump[5] = 6;
// here 'it' can not be modified
for (auto it = ump.cbegin(); it != ump.cend(); ++it)
it->second = 10; // COMPILER ERROR
return 0;
}
Output :
Compilation Error in CPP code :- prog.cpp: In function 'int main()':
prog.cpp:19:20: error: assignment of member 'std::pair::second' in read-only object
it->second = 10; // COMPILER ERROR
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13 Jun, 2022 | list cbegin() and cend() function in C++ STL
13 Jun, 2022
The list::cbegin() is a built-in function in C++ STL which returns a constant random access iterator which points to the beginning of the list. Hence the iterator obtained can be used to iterate container but cannot be used to modify the content of the object to which it is pointing even if the object itself is not constant.Syntax:
list_name.cbegin()
Parameters: The function does not accept any parameters.Return value: It returns a constant random access iterator which points to the beginning of the list.Below programs illustrate the above function:
CPP
// C++ program to illustrate the
// cbegin() function
#include <bits/stdc++.h>
using namespace std;
int main()
{
// declaration of list
list<int> lis = { 5, 6, 7, 8, 9 };
// Prints the first element
cout << "The first element is: " << *lis.cbegin();
// printing list elements
cout << "\nList: ";
for (auto it = lis.cbegin(); it != lis.end(); ++it)
cout << *it << " ";
return 0;
}
Output:
The first element is: 5
List: 5 6 7 8 9
Time Complexity: O(1)
Auxiliary Space: O(1)
The list::cend() is a built-in function in C++ STL which returns a constant random access iterator which points to the end of the list. Hence the iterator obtained can be used to iterate container but cannot be used to modify the content of the object to which it is pointing even if the object itself is not constant.Syntax:
list_name.cend()
Parameters: The function does not accepts any parameter.Return value: It returns a constant random access iterator which points to the end of the list.Below program illustrates the function:
CPP
// C++ program to illustrate the
// cend() function
#include <bits/stdc++.h>
using namespace std;
int main()
{
// declaration of list
list<int> lis = { 10, 20, 30, 40, 50 };
// printing list elements
cout << "List: " << endl;
for (auto it = lis.cbegin(); it != lis.cend(); ++it)
cout << *it << " ";
return 0;
}
Output:
List:
10 20 30 40 50
Time Complexity: O(1)
Auxiliary Space: O(1)
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26 Jun, 2023 | list crbegin() and crend() function in C++ STL
26 Jun, 2023
The list::crbegin() is a built-in function in c++ STL that returns a constant reverse iterator which points to the last element of the list i.e reversed beginning of container. The elements cannot be modified or changed as the iterator is a constant one.
Syntax:
list_name.crbegin()
Parameters: The function does not accept any parameters.
Return value: It returns a random access reverse iterator which points to the reverse beginning of the list.
Below program illustrates the above function:
CPP
// C++ program to illustrate the
// list::crbegin() function
#include <bits/stdc++.h>
using namespace std;
int main()
{
// declaration of the list
list<int> lis = { 10, 20, 30, 40, 50 };
// prints the last element
cout << "The last element is: " << *lis.crbegin();
cout << "\nList: ";
for (auto it = lis.crbegin(); it != lis.crend(); ++it)
cout << *it << " ";
return 0;
}
Output
The last element is: 50
List: 50 40 30 20 10
Time Complexity: O(1)Auxiliary Space: O(1)
The list::crend() is a built-in function in C++ STL that returns a constant reverse iterator which points to the theoretical element preceding the first element in the list i.e. the reverse end of the list. The elements cannot be modified or changed as the iterator is a constant one.
Syntax:
list_name.crend()
Parameters: The function does not accept any parameters.
Return value: It returns a constant random reverse iterator which points to the reverse end of the list.
Below program illustrates the above function:
CPP
// C++ program to illustrate the
// list::crend() function
#include <bits/stdc++.h>
using namespace std;
int main()
{
// declaration of the list
list<int> lis = { 7, 6, 5, 4, 3, 2 };
cout << "List: " << endl;
for (auto it = lis.crbegin(); it != lis.crend(); ++it)
cout << *it << " ";
return 0;
}
Output
List:
2 3 4 5 6 7
Time Complexity: O(1)Auxiliary Space: O(1)
Let us see the differences in a tabular form -:
list crbegin()
list crend()
1.
It is used to return a const_reverse_iterator pointing to the last element in the container
It is used to return a const_reverse_iterator pointing to the theoretical element preceding the first element in the container
2.
Its syntax is -:
const_reverse_iterator crbegin();
Its syntax is -:
const_reverse_iterator crend();
3.
It does not take any parameters.
It does not take any parameters.
4.
Its complexity is constant.
Its complexity is constant.
5.
Its iterator validity does not changes.
Its iterator validity does not changes.
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20 Feb, 2023 | deque crend in C++ STL
20 Feb, 2023
The deque::crend() is an inbuilt function in C++ STL which returns a constant reverse iterator which points to the position before the first element of the deque. Syntax
deque_name.crend()
Parameters: This function does not accept any parameters. Return Type: This function returns constant reverse iterator of deque. Example-1:
CPP
// C++ program to illustrate the
// deque::crend() function
#include <bits/stdc++.h>
using namespace std;
int main()
{
deque<int> dq = { 10, 20, 30, 40, 50 };
cout << "The deque in reverse order: \n";
// prints the elements in reverse order
for (auto it = dq.crend() - 1; it >= dq.crbegin(); --it)
cout << *it << endl;
return 0;
}
Output:
The deque in reverse order:
10
20
30
40
50
Example-2: Since the iterator is constant, making an attempt to change it would cause error.
CPP
// C++ program to illustrate the
// deque::crend() function
#include <bits/stdc++.h>
using namespace std;
int main()
{
deque<char> dq = { 'a', 'b', 'c', 'd', 'e', 'f' };
cout << "The deque in reverse order: \n";
// prints the elements in reverse order
for (auto it = dq.crend() - 1; it >= dq.crbegin(); --it)
*it = 'g'
return 0;
}
Compilation Error in CPP code :- prog.cpp: In function ‘int main()’: prog.cpp:15:13: error: assignment of read-only location ‘it.std::reverse_iterator<_Iterator>::operator* >()’ *it = ‘g’ ^ prog.cpp:17:5: error: expected ‘;’ before ‘return’ return 0; ^
Time complexity: O(N). // N is the size of the deque.
Auxiliary space: O(1)
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29 Dec, 2022 | multimap::crbegin() and multimap::crend() in C++ STL
29 Dec, 2022
multimap::crbegin() is a built-in function in C++ STL which returns a constant reverse iterator referring to the last element in the multimap container. Since multimap container contains the element in an ordered way, crbegin() will point to that element that will come last according to the container’s sorting criterion.
Syntax:
multimap_name.crbegin()
Parameters: The function does not accept any parameter.
Return Value: The function returns a constant reverse iterator referring to the last element in the multimap container.
Simple Example :
C++
#include <vector>
#include <iostream>
int main() {
std::vector<int> vec {1, 2, 3, 4, 5};
// Iterate through the elements of vec in reverse order
for (auto it = vec.crbegin(); it != vec.crend(); ++it) {
std::cout << *it << ' ';
}
std::cout << std::endl;
return 0;
}
Output
5 4 3 2 1
C++
// C++ program to illustrate
// multimap::crbegin() function
#include <bits/stdc++.h>
using namespace std;
int main()
{
// initialize container
multimap<int, int> mp;
// insert elements in random order
mp.insert({ 2, 30 });
mp.insert({ 1, 40 });
mp.insert({ 3, 60 });
mp.insert({ 4, 20 });
mp.insert({ 5, 50 });
auto ite = mp.crbegin();
cout << "The last element is {" << ite->first
<< ", " << ite->second << "}\n";
// prints the elements
cout << "\nThe multimap in reverse order is: \n";
cout << "KEY\tELEMENT\n";
for (auto itr = mp.crbegin(); itr != mp.crend(); ++itr) {
cout << itr->first
<< '\t' << itr->second << '\n';
}
return 0;
}
Output
The last element is {5, 50}
The multimap in reverse order is:
KEY ELEMENT
5 50
4 20
3 60
2 30
1 40
multimap::crend() is a built-in function in C++ STL which returns a constant reverse iterator pointing to the theoretical element before the first element in the multimap. Since multimap container contains the element in an ordered way, crend() will point to the element theoretically before the first element according to the container’s sorting criterion.
Syntax:
multimap_name.crend()
Parameters: The function does not accept any parameter.
Return Value: The function returns a constant reverse iterator pointing to the theoretical element before the first element in the multimap.
C++
// C++ program to illustrate
// multimap::crend() function
#include <bits/stdc++.h>
using namespace std;
int main()
{
// initialize container
multimap<int, int> mp;
// insert elements in random order
mp.insert({ 2, 30 });
mp.insert({ 1, 40 });
mp.insert({ 3, 60 });
mp.insert({ 4, 20 });
mp.insert({ 5, 50 });
// prints the elements
cout << "\nThe multimap in reverse order is : \n";
cout << "KEY\tELEMENT\n";
for (auto itr = mp.crbegin(); itr != mp.crend(); ++itr) {
cout << itr->first
<< '\t' << itr->second << '\n';
}
return 0;
}
Output
The multimap in reverse order is :
KEY ELEMENT
5 50
4 20
3 60
2 30
1 40
Let us see the differences in a tabular form -:
multimap::crbegin()
multimap::crend()
1.
It is used to return a const_reverse_iterator pointing to the last element in the container
It is used to return a const_reverse_iterator pointing to the theoretical element preceding the first element in the container
2.
Its syntax is -:
const_reverse_iterator crbegin();
Its syntax is -:
const_reverse_iterator crend();
3.
It does not take any parameters.
It does not take any parameters.
4.
Its complexity is constant.
Its complexity is constant.
5.
Its iterator validity does not change.
Its iterator validity does not change.
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to Diagnose and Resolve a Slow Network, unordered_map end( ) function in C++ STL, How to use Optional Chaining with Arrays and Functions in TypeScript ?, Calculate server loads using Round Robin Scheduling, unordered_map operator= in C++ STL, Difference Between Flow Control and Error Control, Design Issues in Network Layer, jQWidgets jqxScrollBar showButtons Property, unordered_map cend in C++ STL, jQWidgets jqxScrollView showButtons Property, unordered_map rehash in C++ STL, set::emplace() in C++ STL, Difference between Multi Level Queue (MLQ) Scheduling and Round Robin (RR) algorithms, jQWidgets jqxScrollView disabled Property, multimap::cbegin() and multimap::cend() in C++ STL, jQWidgets jqxSplitter destroy() Method, jQWidgets jqxTabs contentTransitionDuration Property, jQWidgets jqxTreeMap destroy Method, set::lower_bound() Function in C++ STL, jQWidgets jqxSwitchButton enable() Method, jQWidgets jqxSplitter height Property, How to Make a Single Property Optional in TypeScript ?, 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jQWidgets jqxToolBar rtl Property, jQWidgets jqxSplitter width Property, list crbegin() and crend() function in C++ STL, jQWidgets jqxToolBar tools Property, multimap empty() function in C++ STL, PHP Date and Time, jQWidgets jqxComboBox destroy() Method, multimap::crbegin() and multimap::crend() in C++ STL, jQWidgets jqxTree width Property, multimap::swap() in C++ STL, unordered_multimap bucket_size() function in C++ STL, multimap equal_range() in C++ STL, Implementation of lower_bound() and upper_bound() in List of Pairs in C++, jQWidgets jqxTree clear() Method, TLS Handshake?, multiset rbegin() and rend() function in C++ STL, unordered_multimap operator= in C++, Algorithm for Dynamic Time out timer Calculation, Adhoc TCP, unordered_map swap in C++ STL, jQWidgets jqxSortable disabled Property, How to Declare Optional Properties in TypeScript ?, Convert string into date using JavaScript, jQWidgets jqxScrollView slideDuration Property, jQWidgets jqxScrollBar rtl Property, jQWidgets jqxTabs position Property, unordered_map max_bucket_count in C++ STL, unordered_multimap bucket() function in C++ STL, Differences between Wireless Adhoc Network and Wireless Sensor Network, jQWidgets jqxTabs keyboardNavigation Property, Calculation of TCP Checksum, unordered_multimap begin() and end() function in C++ STL, std::bitset::to_ullong and std::bitset::to_ulong in C++ STL, unordered_multiset emplace_hint() function in C++ STL, multimap::begin() and multimap::end() in C++ STL, unordered_set emplace_hint() function in C++ STL, forward_list max_size() in C++ STL with Examples, unordered_multimap max_size() function in C++ STL, unordered_multiset bucket_count() function in C++ STL, unordered_multiset find() function in C++STL, unordered_multimap bucket_count() function in C++ STL, unordered_multiset bucket() function in C++ STL, Impact of Three-way Handshake and Slow Start Algorithm, array::rbegin() and array::rend() in C++ STL, multimap value_comp() function in C++ STL, How to declare a module in TypeScript ?, Node.js date-and-time Date.isLeapYear() Method, jQWidgets jqxTreeMap selectionEnabled Property, jQWidgets jqxSplitter orientation Property, unordered_multimap load_factor() function in C++ STL, multiset::emplace() in C++ STL, unordered_set equal_range in C++ STL, jQWidgets jqxSwitchButton orientation Property, SSL vs HTTPS – Which One is More Secure?, unordered_multimap equal_range() function in C++ STL, unordered_set count() function in C++ STL, vector rbegin() and rend() Functions in C++ STL, array::cbegin() and array::cend() in C++ STL, PHP Tutorial, jQWidgets jqxTreeMap showLegend Property, jQWidgets jqxScrollView animationDuration Property, unordered_multiset end() function in C++ STL, How to Sort an Array Having Optional Properties in TypeScript ?, unordered_multimap find() function in C++ STL | GeeksforGeeks | [-0.0213415567, -0.00154917326, -0.0131642018, 0.0309935175, 0.014263453, -0.0463830344, -0.0325753689, 0.00285202032, -0.0129832281, 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27 Dec, 2018 | deque crbegin in C++ STL
27 Dec, 2018
deque::crbegin means constant_reverse_beginner and as the name suggests it returns a constant_reverse_iterator pointing to the last element of the deque.
What is a constant iterator?
A constant iterator is not used for modification. It is only used for accessing the elements. You can use non_const iterators for modifying the elements.
Syntax:
dequename.crbegin()
Return Value: It returns a const_reverse_iterator to the reverse beginning of the sequence.
Application:
Given a deque with numbers in the increasing order, print them in non increasing order.
Input: deque{1, 2, 3, 4, 5, 6};
for (auto reverseit = deque.crbegin(); reverseit != deque.crend(); ++reverseit)
cout << ' ' << *reverseit;
Output : 6 5 4 3 2 1
Below program illustrates the working of crbegin function:
// deque::crbegin and crend
#include <deque>
#include <iostream>
using namespace std;
int main()
{
// Declare a deque with the name numdeque
deque<int> numdeque = { 1, 2, 3, 4, 5, 6 };
// Print the deque backwards using crbegin and crend
cout << "Printing the numdeque backwards:";
for (auto rit = numdeque.crbegin(); rit != numdeque.crend(); ++rit)
cout << ' ' << *rit;
return 0;
}
Output:
Printing the numdeque backwards: 6 5 4 3 2 1
Since the returned iterator is constant, if we try to change value, we get compiler error.
// deque::crbegin and crend
#include <deque>
#include <iostream>
using namespace std;
int main()
{
// Declare a deque with the name numdeque
deque<int> numdeque = { 1, 2, 3, 4, 5, 6 };
// Print the deque backwards using crbegin and crend
cout << "Printing the numdeque backwards:";
for (auto rit = numdeque.crbegin(); rit != numdeque.crend(); ++rit)
*rit = 10;
return 0;
}
Output:
prog.cpp: In function ‘int main()’:
prog.cpp:14:8: error: assignment of read-only location ‘rit.std::reverse_iterator<_Iterator>::operator* >()’
*rit = 10;
^
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C++ STL/multiset::emplace() in C++ STL/multiset find() function in C++ STL/multiset cbegin() and cend() function in C++ STL/multimap::cbegin() and multimap::cend() in C++ STL/multimap::begin() and multimap::end() in C++ STL/set::begin() and set::end() in C++ STL/unordered_multimap begin() and end() function in C++ STL/unordered_multimap empty() function in C++ STL/unordered_multimap find() function in C++ STL/unordered_multimap equal_range() function in C++ STL/unordered_multimap bucket_count() function in C++ STL/unordered_multimap bucket_size() function in C++ STL/unordered_multimap operator= in C++/unordered_multimap load_factor() function in C++ STL/unordered_map load_factor in C++ STL/unordered_map operator= in C++ STL/unordered_map swap in C++ STL/unordered_map rehash in C++ STL/unordered_map max_size in C++ STL/forward_list max_size() in C++ STL with Examples/list max_size() function in C++ STL/multiset max_size() in C++ STL with Examples/unordered_multimap max_size() function in C++ STL/unordered_multimap bucket() function in C++ STL/unordered_multimap rehash() function in C++ STL/unordered_multiset rehash() function in C++ STL/unordered_multiset key_eq() function in C++ STL/unordered_map key_eq() function in C++ STL/unordered_map max_bucket_count in C++ STL/unordered_map end( ) function in C++ STL/unordered_map emplace_hint() function in C++ STL/unordered_set emplace_hint() function in C++ STL/unordered_set swap() function in C++ STL/unordered_set begin() function in C++ STL/unordered_set end() in C++ STL/unordered_set cend() function in C++ STL/unordered_map cend in C++ STL/list cbegin() and cend() function in C++ STL/list crbegin() and crend() function in C++ STL/deque crend in C++ STL/multimap::crbegin() and multimap::crend() in C++ STL/deque crbegin in C++ STL | https://www.geeksforgeeks.org/deque-crbegin-in-c-stl?ref=asr10 | PHP | deque crbegin in C++ STL | unordered_multiset clear() function in C++ STL, What is SSL, Optional Property Class in 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18 Mar, 2019 | deque cbegin() in C++ STL
18 Mar, 2019
The cbegin() method in deque is a function in C++ STL which returns an iterator pointing to the first element of the container.
Syntax:
deque_name.cbegin()
Return value: It returns a constant iterator pointing to the first element of the deque. This means, that the iterator can be used to traverse the queue, but not to modify it. That is, functions like insert, erase would throw an error if called using a constant iterator.
The constant iterator should be used when you want no part of your code to modify the contents of the deque.
The following programs illustrates the function.
Program 1:
#include <deque>
#include <iostream>
using namespace std;
int main()
{
// Create a deque
deque<int> dq = { 2, 5, 7, 8, 6 };
// Print the first element of deque
// using cbegin() method
cout << "First element of the deque is: ";
// Get the iterator pointing to the first element
// And dereference it
cout << *dq.cbegin();
}
Output:
First element of the deque is: 2
Program 2:
#include <deque>
#include <iostream>
using namespace std;
int main()
{
// Create a deque
deque<int> dq = { 1, 5, 2, 4, 7 };
// Insert an element at the front
dq.push_front(45);
// Insert an element at the back
dq.push_back(56);
// Print the first element of deque
// using cbegin() method
cout << "First element of the deque is: ";
// Get the iterator pointing to the first element
// And dereference it
cout << *dq.cbegin();
}
Output:
First element of the deque is: 45
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jqxScrollView animationDuration Property/jQWidgets jqxScrollView buttonsOffset Property/jQWidgets jqxSlider buttonsPosition Property/jQWidgets jqxSlider rtl Property/jQWidgets jqxSlider height Property/jQWidgets jqxSplitter height Property/jQWidgets jqxSplitter destroy() Method/jQWidgets jqxSplitter width Property/jQWidgets jqxSplitter orientation Property/jQWidgets jqxSwitchButton orientation Property/jQWidgets jqxSwitchButton enable() Method/jQWidgets jqxSwitchButton onLabel Property/How to declare a module in TypeScript ?/How to Declare Optional Properties in TypeScript ?/TypeScript Optional Parameters/How to Make a Single Property Optional in TypeScript ?/How to Sort an Array Having Optional Properties in TypeScript ?/How to use Optional Chaining with Arrays and Functions in TypeScript ?/Optional Property Class in TypeScript/Introduction to TypeScript/Difference between Flow and TypeScript/Difference Between Flow Control and Error Control/What are Issues in Flow Control Related to 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27 Jun, 2023 | deque::emplace_front() and deque::emplace_back() in C++ STL
27 Jun, 2023
Deque or Double-ended queues are sequence containers with the feature of expansion and contraction on both the ends. They are similar to vectors, but are more efficient in case of insertion and deletion of elements at the end, and also the beginning. Unlike vectors, contiguous storage allocation may not be guaranteed.
deque::emplace_front()
This function is used to insert a new element into the deque container, the new element is added to the beginning of the deque.
Syntax :
dequename.emplace_front(value)Parameters :The element to be inserted into the dequeis passed as the parameter.Result :The parameter is added to thedeque at the beginning.
Examples:
Input : mydeque{1, 2, 3, 4, 5}; mydeque.emplace_front(6);Output : mydeque = 6, 1, 2, 3, 4, 5Input : mydeque{}; mydeque.emplace_front(4);Output : mydeque = 4
Errors and Exceptions
1. It has a strong exception guarantee, therefore, no changes are made if an exception is thrown.
2. The parameter should be of the same type as that of the container, otherwise, an error is thrown.
CPP
// INTEGER DEQUE EXAMPLE
// CPP program to illustrate
// Implementation of emplace_front() function
#include <deque>
#include <iostream>
using namespace std;
int main()
{
deque<int> mydeque;
mydeque.emplace_front(1);
mydeque.emplace_front(2);
mydeque.emplace_front(3);
mydeque.emplace_front(4);
mydeque.emplace_front(5);
mydeque.emplace_front(6);
// deque becomes 6, 5, 4, 3, 2, 1
// printing the deque
for (auto it = mydeque.begin();
it != mydeque.end(); ++it)
cout << ' ' << *it;
return 0;
}
Output:
6 5 4 3 2 1
CPP
// STRING DEQUE EXAMPLE
// CPP program to illustrate
// Implementation of emplace_front() function
#include <deque>
#include <iostream>
#include <string>
using namespace std;
int main()
{
deque<string> mydeque;
mydeque.emplace_front("portal");
mydeque.emplace_front("science");
mydeque.emplace_front("computer");
mydeque.emplace_front("a");
mydeque.emplace_front("is");
mydeque.emplace_front("GEEKSFORGEEKS");
// deque becomes GEEKSFORGEEKS, is, a,
// computer, science, portal
// printing the deque
for (auto it = mydeque.begin();
it != mydeque.end(); ++it)
cout << ' ' << *it;
return 0;
}
Output:
GEEKSFORGEEKS is a computer science portal
Time Complexity : O(1)
Application
Given an empty deque, add integers to it using emplace_front() function and then calculate its size without using size function().
Input : 1, 2, 3, 4, 5, 6Output : 6
Algorithm
1. Add elements to the deque using emplace_front() function
2. Check if the deque is empty, if not, increment the counter variable initialised as 0, and pop the back element.
3. Repeat this step until the deque becomes empty.
4. Print the final value of the variable.
CPP
// CPP program to illustrate
// Application of emplace_front() function
#include <deque>
#include <iostream>
using namespace std;
int main()
{
// variable declaration
int count = 0;
// deque declaration
deque<int> mydeque;
// adding elements to deque
mydeque.emplace_front(1);
mydeque.emplace_front(2);
mydeque.emplace_front(3);
mydeque.emplace_front(4);
mydeque.emplace_front(5);
mydeque.emplace_front(6);
// counting elements in deque
while (!mydeque.empty()) {
count++;
mydeque.pop_back();
}
cout << count;
return 0;
}
Output :
6
deque::emplace_back()
This function is used to insert a new element into the deque container, the new element is added to the end of the deque.
Syntax :
dequename.emplace_back(value)Parameters :The element to be inserted into the dequeis passed as the parameter.Result :The parameter is added to thedeque at the end.
Examples:
Input : mydeque{1, 2, 3, 4, 5}; mydeque.emplace_back(6);Output : mydeque = 1, 2, 3, 4, 5, 6Input : mydeque{}; mydeque.emplace_back(4);Output : mydeque = 4
Errors and Exceptions
1. It has a strong exception guarantee, therefore, no changes are made if an exception is thrown.
2. Parameter should be of same type as that of the container, otherwise an error is thrown.
CPP
// INTEGER DEQUE EXAMPLE
// CPP program to illustrate
// Implementation of emplace_back() function
#include <deque>
#include <iostream>
using namespace std;
int main()
{
deque<int> mydeque;
mydeque.emplace_back(1);
mydeque.emplace_back(2);
mydeque.emplace_back(3);
mydeque.emplace_back(4);
mydeque.emplace_back(5);
mydeque.emplace_back(6);
// deque becomes 1, 2, 3, 4, 5, 6
// printing the deque
for (auto it = mydeque.begin();
it != mydeque.end(); ++it)
cout << ' ' << *it;
return 0;
}
Output:
1 2 3 4 5 6
CPP
// STRING DEQUE EXAMPLE
// CPP program to illustrate
// Implementation of emplace_back() function
#include <deque>
#include <iostream>
using namespace std;
int main()
{
deque<string> mydeque;
mydeque.emplace_back("Hi");
mydeque.emplace_back("this");
mydeque.emplace_back("is");
mydeque.emplace_back("geeksforgeeks");
// deque becomes Hi this is geeksforgeeks
// printing the deque
for (auto it = mydeque.begin();
it != mydeque.end(); ++it)
cout << ' ' << *it;
return 0;
}
Output:
Hi this is geeksforgeeks
Time Complexity : O(1)
Application
Given an empty deque, add integers to it using emplace_front() function and then calculate the sum of the elements.
Input : 4, 5, 9, 2, 6Output : 26
Algorithm
1. Add elements to the deque using emplace_back() function
2. Check if the deque is empty, if not, add the back value to the sum variable initialised as 0, and pop the back element.
3. Repeat this step until the deque becomes empty.
4. Print the final value of the variable.
CPP
// CPP program to illustrate
// Application of emplace_back() function
#include <deque>
#include <iostream>
using namespace std;
int main()
{
// variable declaration
int sum = 0;
// deque declaration
deque<int> mydeque;
// adding elements to deque
mydeque.emplace_back(4);
mydeque.emplace_back(5);
mydeque.emplace_back(9);
mydeque.emplace_back(2);
mydeque.emplace_back(6);
// counting sum of elements in deque
while (!mydeque.empty()) {
sum = sum + mydeque.back();
mydeque.pop_back();
}
cout << sum;
return 0;
}
Output :
6
Time complexity: O(n), // n is the number of elements in the dequeue.Auxiliary Space: O(n).
Let us see the differences in a tabular form -:
deque::emplace_front()
deque::emplace_back()
1.
It is used to insert a new element at the beginning of the deque
It is used to insert a new element at the end of the deque
2.
Its syntax is -:
emplace_front (Args&&… args);
Its syntax is -:
emplace_back (Args&&… args);
3.
It does not have any return value.
It does not have any return value.
4.
Its complexity is constant.
Its complexity is constant.
5.
It is present in
<deque>
header file
It is present in
<deque>
header file
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27 Jun, 2023 | deque::begin() and deque::end in C++ STL
27 Jun, 2023
Deque or Double ended queues are sequence containers with the feature of expansion and contraction on both the ends. They are similar to vectors, but are more efficient in case of insertion and deletion of elements at the end, and also the beginning. Unlike vectors, contiguous storage allocation may not be guaranteed.
deque::begin()
begin() function is used to return an iterator pointing to the first element of the deque container. begin() function returns a bidirectional iterator to the first element of the container.
Syntax :
dequename.begin()Parameters :No parameters are passed.Returns :This function returns a bidirectionaliterator pointing to the first element.
Examples:
Input : mydeque{1, 2, 3, 4, 5}; mydeque.begin();Output : returns an iterator to the element 1Input : mydeque{8, 7}; mydeque.begin();Output : returns an iterator to the element 8
Errors and Exceptions
1. It has a no exception throw guarantee.
2. Shows error when a parameter is passed.
CPP
// CPP program to illustrate
// Implementation of begin() function
#include <deque>
#include <iostream>
using namespace std;
int main()
{
// declaration of deque container
deque<int> mydeque{ 1, 2, 3, 4, 5 };
// using begin() to print deque
for (auto it = mydeque.begin(); it != mydeque.end(); ++it)
cout << ' ' << *it;
return 0;
}
Output:
1 2 3 4 5
Time Complexity : O(1)
deque::end()
end() function is used to return an iterator pointing to the last element of the deque container. end() function returns a bidirectional iterator to the last element of the container. Note : The last element of any container is considered as the theoretical element next to the last value stored in the container.
Syntax :
dequename.end()Parameters :No parameters are passed.Returns :This function returns a bidirectionaliterator pointing to the last element.
Examples:
Input : mydeque{1, 2, 3, 4, 5}; mydeque.end();Output : returns an iterator to the element next to the element 5Input : mydeque{8, 7}; mydeque.end();Output : returns an iterator to the element next to the element 7
Errors and Exceptions
1. It has a no exception throw guarantee.
2. Shows error when a parameter is passed.
CPP
// CPP program to illustrate
// Implementation of end() function
#include <deque>
#include <iostream>
using namespace std;
int main()
{
// declaration of deque container
deque<int> mydeque{ 1, 2, 3, 4, 5 };
// using end() to print deque
for (auto it = mydeque.begin(); it != mydeque.end(); ++it)
cout << ' ' << *it;
return 0;
}
Output:
1 2 3 4 5
Time Complexity : O(1)
Let us see the differences in a tabular form -:
deque::begin()
deque::end
1.
It is used to return an iterator pointing to the first element in the deque container.
It is used to return an iterator referring to the past-the-end element in the deque container.
2.
Its syntax is -:
iterator begin();
Its syntax is -:
iterator end();
3.
It does not takes any parameters.
It does not take any parameters.
4.
Its complexity is constant.
Its time complexity is constant.
5.
Its iterator validity does not changes.
Its iterator validity does not changes.
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17 Jun, 2022 | multiset begin() and end() function in C++ STL
17 Jun, 2022
The multiset::begin() is a built-in function in C++ STL that returns an iterator pointing to the first element in the multiset container. Since multiset always contains elements in an ordered way, begin() always points to the first element according to the sorting criterion.
Syntax:
iterator multiset_name.begin()
Parameters: The function does not accept any parameters.
Return value: The function returns an iterator pointing to the first element in the container.
Below program illustrate the above-mentioned function:
CPP
// CPP program to demonstrate the
// multiset::begin() function
#include <bits/stdc++.h>
using namespace std;
int main()
{
int arr[] = { 14, 10, 15, 11, 10 };
// initializes the set from an array
multiset<int> s(arr, arr + 5);
// Print the first element
cout << "The first element is: " << *(s.begin()) << endl;
// prints all elements in set
for (auto it = s.begin(); it != s.end(); it++)
cout << *it << " ";
return 0;
}
Output:
The first element is: 10
10 10 11 14 15
The multiset::end() is a built-in function in C++ STL that returns an iterator pointing to the position past the last element in the container.
Syntax:
iterator multiset_name.end()
Parameters: The function does not accept any parameters.
Return value: The function returns an iterator pointing to the position past the last element in the container in the multiset container.
Below program illustrate the above-mentioned function:
CPP
// CPP program to demonstrate the
// multiset::end() function
#include <bits/stdc++.h>
using namespace std;
int main()
{
int arr[] = { 14, 10, 15, 11, 10, 12, 17, 12 };
// initializes the set from an array
multiset<int> s(arr, arr + 8);
// prints all elements in set
for (auto it = s.begin(); it != s.end(); it++)
cout << *it << " ";
return 0;
}
Output:
10 10 11 12 12 14 15 17
Let us see the differences in a tabular form as shown below as follows:
multiset begin()
multiset end()
It is used to return an iterator referring to the first element in the multiset container.
It is used to return an iterator referring to the past-the-end element in the multiset container.
Its syntax is -:
iterator begin();
Its syntax is -:
iterator end();
It does not take any parameters.
It does not take any parameters.
Its complexity is constant.
Its complexity is constant.
Its iterator validity does not change.
Its iterator validity does not change.
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-0.00848067738, -0.0121767139, -0.0102146203] |
17 Jun, 2022 | match_results begin() and end() function in C++ STL
17 Jun, 2022
match_results::cbegin() is an inbuilt function in C++ STL that returns an iterator that points to the first match in the match_results object.
Syntax:
smatch_name.begin()
Parameters: This function does not accept any parameters.
Return value: This function returns an iterator pointing to the first match in the match_results object. The matches contained in the match_results object are always constant.
Note: The first element always contains the whole regex match while the others contain the particular Capturing Group.
Below program illustrate the above function:
CPP
// C++ program to illustrate the
// match_results begin() function
#include <bits/stdc++.h>
using namespace std;
int main()
{
string sp("geeksforgeeks");
regex re("(geeks)(.*)");
smatch match;
// we can use member function on match
// to extract the matched pattern.
std::regex_match(sp, match, re);
// The size() member function indicates the
// number of capturing groups plus one for the overall match
// match size = Number of capturing group + 1
// (.*) which "forgeeks" ).
cout << "Match size = " << match.size() << endl;
cout << "matches:" << endl;
for (smatch::iterator it = match.begin(); it != match.end(); ++it)
cout << *it << endl;
return 0;
}
Output:
Match size = 3
matches:
geeksforgeeks
geeks
forgeeks
match_results::end() is an inbuilt function in C++ STL that returns an iterator that points to the past-the-end match in the match_results object.
Syntax:
smatch_name.end()
Parameters: This function does not accept any parameters.
Return value: This function returns an iterator pointing to the past-the-end match in the match_results object. The matches contained in the match_results object are always constant.
Note: First element always contains the whole regex match while the others contain the particular Capturing Group.
Below program illustrate the above function
CPP
// C++ program to illustrate the
// match_results end() function
#include <bits/stdc++.h>
using namespace std;
int main()
{
string sp("matchresult");
regex re("(match)(.*)");
smatch match;
// we can use member function on match
// to extract the matched pattern.
std::regex_match(sp, match, re);
// The size() member function indicates the
// number of capturing groups plus one for the overall match
// match size = Number of capturing group + 1
// (.*) which "results" ).
cout << "Match size = " << match.size() << endl;
cout << "matches:" << endl;
for (smatch::iterator it = match.begin(); it != match.end(); ++it)
cout << *it << endl;
return 0;
}
Output:
Match size = 3
matches:
matchresult
match
result
Let us see the differences in a tabular form as follows:
match_results begin()
match_results end()
It is used to return an iterator pointing to the first match in the match_results object.
It is used to return an iterator pointing to the past-the-end match in the match_results object.
Its syntax is -:
const_iterator begin() const;
Its syntax is -:
const_iterator end() const;
It does not take any parameters.
It does not take any parameters.
Its complexity is constant.
Its complexity is constant.
Its iterator validity does not change.
Its iterator validity does not change.
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09 Aug, 2021 | match_results prefix() and suffix() in C++
09 Aug, 2021
The match_results::prefix() is an inbuilt function in C++ which is used to get the string which is preceding the matched string in the input target string.Syntax:
smatch_name.prefix()
Note: smatch_name is an object of match_results class.
Parameters: This function accept no parameters.Return Value: This function returns the sequence preceding the matched sequence in the target string.Note: First element always contains the whole regex match while the others contain the particular Capturing Group.Below program illustrate the above function:
CPP
// CPP program to illustrate
// match_results prefix() function
#include <bits/stdc++.h>
using namespace std;
int main()
{
string s("Geeksforgeeks is a computer science portal");
regex re("computer");
smatch match;
regex_search(s, match, re);
cout << "Prefix is: [";
if (!match.empty()) {
cout << match.prefix() << "]" << endl;
}
return 0;
}
Output:
Prefix is: [Geeksforgeeks is a ]
The match_results::suffix() is an inbuilt function in C++ which is used to get the string which is succeeding the matched string in the input target string.Syntax:
smatch_name.suffix()
Note: smatch_name is an object of match_results class.
Parameters: This function accepts no parameters.Return Value:T his function returns the sequence succeeding the matched sequence in the target string.Note: First element always contains the whole regex match while the others contain the particular Capturing Group.Below program illustrate the above function:
CPP
// CPP program to illustrate
// match_results suffix() function
#include <bits/stdc++.h>
using namespace std;
int main()
{
string s("Geeksforgeeks is a computer science portal");
regex re("computer");
smatch match;
regex_search(s, match, re);
cout << "Suffix is: [";
if (!match.empty()) {
cout << match.suffix() << "]" << endl;
}
return 0;
}
Output:
Suffix is: [ science portal]
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equal_range() function in C++ STL, unordered_set count() function in C++ STL, vector rbegin() and rend() Functions in C++ STL, array::cbegin() and array::cend() in C++ STL, PHP Tutorial, jQWidgets jqxTreeMap showLegend Property, jQWidgets jqxScrollView animationDuration Property, unordered_multiset end() function in C++ STL, How to Sort an Array Having Optional Properties in TypeScript ?, unordered_multimap find() function in C++ STL | GeeksforGeeks | [0.0332826, 0.0306232814, -0.0148455752, 0.0341324843, -0.00492110942, 0.00700127194, -0.0271003712, 0.0257295892, -0.0310071018, -0.0131526589, -0.0510753579, 0.00409521302, 0.00506161433, -0.0342421494, -0.000909856928, -0.0146947885, 0.00283580646, 0.0278680082, 0.00778604485, -0.00419802172, -0.0399720185, -0.00205274695, 0.00867705327, 0.00162951776, 0.00834806543, 0.0117133372, -0.0396978632, 0.000209579797, -0.0294992402, -0.0146125415, 0.035229113, 0.0180943292, 0.00785458367, -0.0139202969, -0.0301298, 0.0279502552, 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30 Sep, 2024 | C++ Program to Implement Suffix Array
30 Sep, 2024
A suffix array is a data structure which can be used to store all possible suffixes of a given string in the sorted order. It stores the starting indices of the suffixes in lexicographical order. It is similar to trie data structure but is more space efficient then tries.ExampleLet the given string be "banana".0 banana 5 a1 anana Sort the Suffixes 3 ana2 nana ----------------> 1 anana 3 ana alphabetically 0 banana 4 na 4 na 5 a 2 nanaSo the suffix array for "banana" is {5, 3, 1, 0, 4, 2}In this article, we will learn how to implement a suffix array for a given string in C++.How to Create Suffix Array?Following are the steps involved in creating the suffix array:Create the vector of string where we will store all the suffixes and also create the vector of integer where we will store staring position of all suffixes.Now generate all the suffixes simply using the loop and store all the suffixes in the vector of string.Sort all the suffixes alphabetically.Now according to the alphabetically sorted suffixes we have to create suffix array using the staring position of all the suffixes.Code ImplementationBelow is the program for creating the suffix array:
C++
// C++ Program to illustrate how to create the
// suffix array
#include <bits/stdc++.h>
using namespace std;
vector<int> buildSufArr(string &s) {
int n = s.length();
vector<int> sufArr(n);
vector<string> suf(n);
// Generating all the suffixes
for (int i = 0; i < n; i++)
suf[i] = s.substr(i);
// Sort all suffixes alphabetically
sort(suf.begin(), suf.end());
// Create the suffix array using the
// starting position of all the suffixes
// by subtracting it from the length of
// the original string
for (int i = 0; i < n; i++)
sufArr[i] = n - suf[i].length();
return sufArr;
}
int main() {
string s = "banana";
vector<int> sufArr = buildSufArr(s);
for (int i : sufArr)
cout << i << " ";
return 0;
}
Output5 3 1 0 4 2 Time Complexity: O(k * n log n), where n is the length of string and k is the maximum length of suffixes.Auxiliary Space: O(n), where n is the length of the string. Applications of Suffix ArraysSuffix Arrays can be used in various problems some of which are given below:Pattern Matching: It Quickly finds a substring within a larger string.Data Compression: It helps in algorithms that reduce the size of data.Bioinformatics: This algorithm is used in analysing DNA sequences.AdvantagesAfter it is built it allows for quick substring searches.It uses less space compared to other structures like suffix trees.
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21 Jul, 2021 | C/C++ program to implement the cricket game
21 Jul, 2021
In this article, the task is to create a 2- player cricket game where Player 1 is the user operating the program and Player 2 is the computer. In this game, the following series of steps are followed:
First, the program will generate a random number between 0 and 25. That number will be the score that Player 1 needs to make to win this match. Suppose the program-generated random number is 15, then this number will be the score that Player 1 needs to achieve.
The second step is a real match between Player 1(User) and Player 2(Computer).
The user will give input from numbers 1 to 6 using the keyboard. The system will then again generate a random number between 1 and 6. If the input of the user differs from the random number generated by the system, then it is a hit and the user will get the score as the same number that was given as input by the user. If the two numbers match, the user will be out and the final total score will be printed.
The total score scored by the user is the sum of all the numbers entered by the user. The score is calculated after each input by the user. Previous Input + Current Input of the user.
Example:
Random Number generated by System is 15. This is the winning score.
Now Player will enter number between 1 and 6.Player: 2System will now generate a random number between 1 and 6.System: 1The player is safe he can play further as both numbers are different.
Player will input a random number between 1 and 6.Player: 3System will now generate a random number between 1 and 6.System: 4
This process keeps ongoing till same number is chosen by Player and System
Player: 6
System: 6
Now, as both numbers are same(player’s and system’s) then player is out.
Result: You lose, your total score is 5.
GAME OVER.
Below is the C++ program to implement the above approach:
C++
// C++ program for the above approach
#include <cstdlib>
#include <ctime>
#include <iostream>
using namespace std;
// Driver Code
int main()
{
int totalrun = 0;
srand(time(0));
int i;
// Generate a random number
// and store in variable
i = (rand() % 25) + 1;
cout << "~~~~~~~~ CRICKET GAME ~~~"
<< "~~~~~~~" << endl;
// Displaying the winning score
cout << "Your winning score "
<< i << "\n";
// while loop for true condition
while (1) {
int player = 0;
int a;
if (totalrun > i) {
cout << "you won your score="
<< totalrun << "\n";
// To exit loop
exit(0);
}
else {
// Generate random no. and
// store in a variable
a = (rand() % 6) + 1;
cout << "Enter no. between "
<< "1 to 6" << endl;
// Taking input from user
// to score runs
cin >> player;
// Checking if user's score
// exceeds the winning score
// Displaying random number
// taken by system on screen
cout << "System: " << a << endl;
// Check if number inserted
// by user is the same random
// number generated by system
// inside loop
if (player == a) {
cout << "OUT your score ="
<< totalrun
<< endl;
// To exit loop
exit(0);
}
// Storing total runs scored
// by user
else {
totalrun = totalrun + player;
}
}
}
return 0;
}
Output:
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24 May, 2024 | C++ Program to Implement Circular Queue
24 May, 2024
In C++, Queues are a fundamental data structure in computer science which works on the principle of FIFO (First In, First Out). They can be implemented using both array and linked list. A circular queue is a type of queue in which the last element is connected to the first element, forming a circular structure. In this article, we'll learn about circular queue, how to implement it in C++, and analyze its complexity.
What is Circular Queue in C++?In a circular queue is a queue where the last element of the queue is connected to the first element of the queue. As it is a queue, it follows the FIFO (First-In-First-Out) order of operation. It is also known as "Ring buffer" as the resulted data structure is logically circular.
Consider a scenario where you're simulating a printer queue. New documents are constantly being added to the queue, and as they are printed, they are removed. In a circular queue, if the queue becomes full and documents are printed, new documents can still be added at the beginning of the queue, as it is circular in nature.
Why we need Circular Queue in C++?Circular queue concept is especially helpful when the queue is implemented using an array. In linear implementation, when the rear pointer reaches the end of the queue, we cannot insert new elements even if there are empty locations in the queue.
Circular queues address this limitation by connecting the front and rear ends, allowing the rear to go back to the start in when the rear reaches the end of the queue.
Concept Behind Circular QueueThere are two different concepts behind circular queue depending upon which data structure it is using in its implementation:
For Linked List Implementation, we can directly use the circular linked list where the last element of the list points to the head of the list.
For Array ImplementationFor array implementation for circular queue, we use the mathematical concept of modular (or circular) increment. In this concept, a value that is being incremented will wrap around a particular threshold value. It can be achieved using the formula.
value = (value + 1) % threshold_value;For Example, if value is 9, and threshold is 10. Incrementing the value by 1 will make it 10 and dividing it with 10 will yield the remainder 0.
Basic Operations on Circular Queue in C++The basic operations of the circular queue are same as that of normal queue but the implementation is different. The following table list the basic operations in circular queue:
Operation
Description
Time Complexity
Space Complexity
Enqueue
This function is used to insert an element into the circular queue.
O(1)
O(1)
Dequeue
This function is used to delete an element from the circular queue.
O(1)
O(1)
Peek
Returns the front element of the queue.
O(1)
O(1)
IsFull
Returns true is the queue is full otherwise returns false.
O(1)
O(1)
IsEmpty
Returns true is the queue is empty otherwise returns false.O(1)
O(1)Representation of Circular Queue in C++The circular queue in C++ can be represented as a class which contains the rear and front index pointers, array to store queue elements, and the member functions to provide the basic operations.
class Queue {private: int front, rear; int arr[MAX_SIZE];public ........}Implementation of isEmpty for Circular QueueThe queue is only empty when the front == rear pointer
Algorithm of isEmpty
if front is equal to rear return trueelse return falseImplementation of isFull for Circular QueueThe queue will be full when the incremented rear pointer is equal to the front pointer.
Algorithm of isFull
if (rear + 1) % size is equal to front return true;else return false;Implementation of Enqueue for Circular QueueWe insert the new elements at the end of the queue using rear pointer. We first check if the queue is full or not.
Algorithm of Enqueue
if (isFull(queue)) { print "Queue Overflow" returnelse rear = (rear + 1) % size arr[rear] = new_elementImplementation of Dequeue for Circular QueueThe elements are removed from the queue at the front of the queue. We first need to check whether queue is empty or not.
Algorithm of Enqueue
if (isEmpty(queue)) { print "Queue Underflow" returnelse front = (front + 1) % sizeC++ Program to Implement Circular Queue Using Array
C++
// C++ program to implement the circular queue using array
#include <bits/stdc++.h>
// defining the max size of the queue
#define MAX_SIZE 5
using namespace std;
// class that represents queue
class Queue {
public:
// index pointers and data array
int front, rear;
int arr[MAX_SIZE];
// constructor to initialize the index pointers
Queue() { front = rear = 0; }
// checking if queue is empty
bool isEmpty()
{
if (front == rear)
return true;
return false;
}
// checking if the queue is full
bool isFull()
{
if ((rear + 1) % MAX_SIZE == front)
return true;
return false;
}
// enqueue operation
void enqueue(int val)
{
if (this->isFull()) {
printf("Queue Overflow!\n");
return;
}
rear = (rear + 1) % MAX_SIZE;
arr[rear] = val;
}
// dequeue operation
void dequeue()
{
if (this->isEmpty()) {
printf("Queue Underflow!\n");
return;
}
front = (front + 1) % MAX_SIZE;
}
// peek function
int peek()
{
if (this->isEmpty()) {
printf("Queue is Empty!\n");
return -1;
}
return arr[(front + 1) % MAX_SIZE];
}
// utility to print queue
void print()
{
if (this->isEmpty())
return;
for (int i = (front + 1) % MAX_SIZE; i < rear;
i = (i + 1) % MAX_SIZE) {
printf("%d ", arr[i]);
}
cout << arr[rear];
}
};
// driver code
int main()
{
Queue q;
q.enqueue(11);
q.enqueue(11);
q.enqueue(11);
q.enqueue(11);
q.enqueue(11);
q.enqueue(11);
q.dequeue();
q.dequeue();
q.enqueue(123);
q.print();
return 0;
}
OutputQueue Overflow!
Queue Overflow!
123C++ Program for Circular Linked List Queue ImplementationThis C++ program demonstrates the implementation of a queue using a circular linked list. It includes operations to enqueue (add) and dequeue (remove) elements, as well as check if the queue is empty or full. The circular nature of the linked list ensures efficient use of memory by reusing nodes, without the use of any extra concept like in the array implementation
C++
// C++ Program to Implement the circular queue using
// circular linked list
#include <bits/stdc++.h>
using namespace std;
// linked list node
class Node {
public:
int val;
Node* next;
Node(int v)
{
val = v;
next = nullptr;
}
};
// class representing circular queue
class Queue {
private:
// pointer to the end of the linked list.
Node* rear;
public:
// constructors
Queue() { rear = nullptr; }
// checking if the queue is empty
bool isEmpty()
{
if (!rear)
return true;
return false;
}
// enqueueing data in ciruclar linked list queue
void enqueue(int val)
{
// creating new node
Node* newNode = new Node(val);
// only condition for the queue overflow
// is when the dynamic memory allocation fails
if (!newNode) {
cout << "Queue Overflow!\n";
return;
}
// inserting depending on the multiple cases
if (this->isEmpty()) {
newNode->next = newNode;
rear = newNode;
}
else {
newNode->next = rear->next;
rear->next = newNode;
rear = newNode;
}
}
// dequeing data
void dequeue()
{
if (this->isEmpty()) {
cout << "Queue Underflow\n";
return;
}
// code for different cases
if (rear->next == rear) {
delete rear;
rear = nullptr;
}
else {
Node* temp = rear->next;
rear->next = temp->next;
delete temp;
}
}
// returning the first element in the queue
int peek()
{
if (this->isEmpty()) {
cout << "Queue is Empty!" << endl;
return -1;
}
return rear->next->val;
}
// utility function to print the queue
void print()
{
if (!rear) {
cout << "Queue is Empty!" << endl;
return;
}
Node* temp = rear->next;
do {
cout << temp->val << " ";
temp = temp->next;
} while (temp != rear->next);
cout << endl;
}
};
// driver code
int main()
{
Queue q;
q.enqueue(2);
q.enqueue(4);
q.enqueue(3);
q.enqueue(6);
q.enqueue(5);
cout << "Queue after all enqueue: ";
q.print();
q.dequeue();
cout << "Queue after one dequeue: ";
q.print();
return 0;
}
OutputQueue after all enqueue: 2 4 3 6 5
Queue after one dequeue: 4 3 6 5
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STL, unordered_multimap load_factor() function in C++ STL, multiset::emplace() in C++ STL, unordered_set equal_range in C++ STL, jQWidgets jqxSwitchButton orientation Property, SSL vs HTTPS – Which One is More Secure?, unordered_multimap equal_range() function in C++ STL, unordered_set count() function in C++ STL, vector rbegin() and rend() Functions in C++ STL, array::cbegin() and array::cend() in C++ STL, PHP Tutorial, jQWidgets jqxTreeMap showLegend Property, jQWidgets jqxScrollView animationDuration Property, unordered_multiset end() function in C++ STL, How to Sort an Array Having Optional Properties in TypeScript ?, unordered_multimap find() function in C++ STL | GeeksforGeeks | [-0.0489476286, -0.00237171934, -0.0133354645, 0.0494423434, 0.0354448333, -0.0106290849, 0.0146086263, 0.0203269441, -0.0193084143, 0.00987246353, -0.0258561056, -0.013015355, 0.0171258505, -0.0420798287, -0.020850759, 0.000270546967, 0.00317563023, 0.0265399758, 0.00709696952, -0.0178970229, 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18 Aug, 2023 | C++ Program to Check if a string can be formed from another string by at most X circular clockwise shifts
18 Aug, 2023
Given an integer X and two strings S1 and S2, the task is to check that string S1 can be converted to the string S2 by shifting characters circular clockwise atmost X times.
Input: S1 = “abcd”, S2 = “dddd”, X = 3 Output: Yes Explanation: Given string S1 can be converted to string S2 as- Character “a” – Shift 3 times – “d” Character “b” – Shift 2 times – “d” Character “c” – Shift 1 times – “d” Character “d” – Shift 0 times – “d”
Input: S1 = “you”, S2 = “ara”, X = 6 Output: Yes Explanation: Given string S1 can be converted to string S2 as – Character “y” – Circular Shift 2 times – “a” Character “o” – Shift 3 times – “r” Character “u” – Circular Shift 6 times – “a”
Approach: The idea is to traverse the string and for each index and find the difference between the ASCII values of the character at the respective indices of the two strings. If the difference is less than 0, then for a circular shift, add 26 to get the actual difference. If for any index, the difference exceeds X, then S2 can’t be formed from S1, otherwise possible. Below is the implementation of the above approach:
C++
// C++ implementation to check
// that a given string can be
// converted to another string
// by circular clockwise shift
// of each character by atmost
// X times
#include <bits/stdc++.h>
using namespace std;
// Function to check that all
// characters of s1 can be
// converted to s2 by circular
// clockwise shift atmost X times
void isConversionPossible(string s1,
string s2, int x)
{
int diff, n;
n = s1.length();
// Check for all characters of
// the strings whether the
// difference between their
// ascii values is less than
// X or not
for (int i = 0; i < n; i++) {
// If both the characters
// are same
if (s1[i] == s2[i])
continue;
// Calculate the difference
// between the ASCII values
// of the characters
diff = (int(s2[i] - s1[i])
+ 26)
% 26;
// If difference exceeds X
if (diff > x) {
cout << "NO" << endl;
return;
}
}
cout << "YES" << endl;
}
// Driver Code
int main()
{
string s1 = "you";
string s2 = "ara";
int x = 6;
// Function call
isConversionPossible(s1, s2, x);
return 0;
}
Output:
YES
Time Complexity:O(N),N=Length(S1)
Auxiliary Space:O(1)
Please refer complete article on Check if a string can be formed from another string by at most X circular clockwise shifts for more details!
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and end() function in C++ STL/match_results prefix() and suffix() in C++/C++ Program to Implement Suffix Array/C/C++ program to implement the cricket game/C++ Program to Implement Circular Queue/C++ Program to Check if a string can be formed from another string by at most X circular clockwise shifts | https://www.geeksforgeeks.org/cpp-program-to-check-if-a-string-can-be-formed-from-another-string-by-at-most-x-circular-clockwise-shifts?ref=asr10 | PHP | C++ Program to Check if a string can be formed from another string by at most X circular clockwise shifts | unordered_multiset clear() function in C++ STL, What is SSL, Optional Property Class in TypeScript, jQWidgets jqxScrollBar step Property, unordered_map max_size in C++ STL, jQWidgets jqxTreeMap width Property, Round Robin Scheduling Algorithm with Different Arrival Time, Difference between Flow and TypeScript, set::begin() and set::end() in C++ STL, unordered_multiset emplace() function in C++ STL, jQWidgets jqxTree destroy() 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31 Mar, 2022 | Find array sum using Bitwise OR after splitting given array in two halves after K circular shifts
31 Mar, 2022
Given an array A[] of length N, where N is an even number, the task is to answer Q independent queries where each query consists of a positive integer K representing the number of circular shifts performed on the array and find the sum of elements by performing Bitwise OR operation on the divided array.Note: Each query begins with the original array.Examples:
Input: A[] = {12, 23, 4, 21, 22, 76}, Q = 1, K = 2 Output: 117 Explanation: Since K is 2, modified array A[]={22, 76, 12, 23, 4, 21}. Bitwise OR of first half of array = (22 | 76 | 12) = 94 Bitwise OR of second half of array = (21 | 23 | 4) = 23 Sum of OR values is 94 + 23 = 117Input: A[] = {7, 44, 19, 86, 65, 39, 75, 101}, Q = 1, K = 4 Output: 238 Since K is 4, modified array A[]={65, 39, 75, 101, 7, 44, 19, 86}. Bitwise OR of first half of array = 111 Bitwise OR of second half of array = 127 Sum of OR values is 111 + 127 = 238
Naive Approach: To solve the problem mentioned above the simplest approach is to shift each element of the array by K % (N / 2) and then traverse the array to calculate the OR of the two halves for every query. But this method is not efficient and hence can be optimized further.Efficient Approach: To optimize the above mentioned approach we can take the help of Segment Tree data structure.
Observation:
We can observe that after exactly N / 2 right circular shifts the two halves of the array become the same as in the original array. This effectively reduces the number of rotations to K % (N / 2).
Performing a right circular shift is basically shifting the last element of the array to the front. So for any positive integer X performing X right circular shifts is equal to shifting the last X elements of the array to the front.
Following are the steps to solve the problem :
Construct a segment tree for the original array A[] and assign a variable let’s say i = K % (N / 2).
Then for each query we use the segment tree of find the bitwise OR; that is Bitwise OR of i elements from the end OR bitwise OR of the first (N / 2) – i – 1 elements.
Then calculate the bitwise OR of elements in range [(N / 2) – i, N – i – 1].
Add the two results to get the answer for the ith query.Below is the implementation of the above approach:
C++
// C++ Program to find Bitwise OR of two
// equal halves of an array after performing
// K right circular shifts
#include <bits/stdc++.h>
const int MAX = 100005;
using namespace std;
// Array for storing
// the segment tree
int seg[4 * MAX];
// Function to build the segment tree
void build(int node, int l, int r, int a[])
{
if (l == r)
seg[node] = a[l];
else {
int mid = (l + r) / 2;
build(2 * node, l, mid, a);
build(2 * node + 1, mid + 1, r, a);
seg[node] = (seg[2 * node]
| seg[2 * node + 1]);
}
}
// Function to return the OR
// of elements in the range [l, r]
int query(int node, int l, int r,
int start, int end, int a[])
{
// Check for out of bound condition
if (l > end or r < start)
return 0;
if (start <= l and r <= end)
return seg[node];
// Find middle of the range
int mid = (l + r) / 2;
// Recurse for all the elements in array
return ((query(2 * node, l, mid,
start, end, a))
| (query(2 * node + 1, mid + 1,
r, start, end, a)));
}
// Function to find the OR sum
void orsum(int a[], int n, int q, int k[])
{
// Function to build the segment Tree
build(1, 0, n - 1, a);
// Loop to handle q queries
for (int j = 0; j < q; j++) {
// Effective number of
// right circular shifts
int i = k[j] % (n / 2);
// Calculating the OR of
// the two halves of the
// array from the segment tree
// OR of second half of the
// array [n/2-i, n-1-i]
int sec = query(1, 0, n - 1,
n / 2 - i, n - i - 1, a);
// OR of first half of the array
// [n-i, n-1]OR[0, n/2-1-i]
int first = (query(1, 0, n - 1, 0,
n / 2 - 1 - i, a)
| query(1, 0, n - 1,
n - i, n - 1, a));
int temp = sec + first;
// Print final answer to the query
cout << temp << endl;
}
}
// Driver Code
int main()
{
int a[] = { 7, 44, 19, 86, 65, 39, 75, 101 };
int n = sizeof(a) / sizeof(a[0]);
int q = 2;
int k[q] = { 4, 2 };
orsum(a, n, q, k);
return 0;
}
Java
// Java program to find Bitwise OR of two
// equal halves of an array after performing
// K right circular shifts
import java.util.*;
class GFG{
static int MAX = 100005;
// Array for storing
// the segment tree
static int []seg = new int[4 * MAX];
// Function to build the segment tree
static void build(int node, int l,
int r, int a[])
{
if (l == r)
seg[node] = a[l];
else
{
int mid = (l + r) / 2;
build(2 * node, l, mid, a);
build(2 * node + 1, mid + 1, r, a);
seg[node] = (seg[2 * node] |
seg[2 * node + 1]);
}
}
// Function to return the OR
// of elements in the range [l, r]
static int query(int node, int l, int r,
int start, int end, int a[])
{
// Check for out of bound condition
if (l > end || r < start)
return 0;
if (start <= l && r <= end)
return seg[node];
// Find middle of the range
int mid = (l + r) / 2;
// Recurse for all the elements in array
return ((query(2 * node, l, mid,
start, end, a)) |
(query(2 * node + 1, mid + 1,
r, start, end, a)));
}
// Function to find the OR sum
static void orsum(int a[], int n,
int q, int k[])
{
// Function to build the segment Tree
build(1, 0, n - 1, a);
// Loop to handle q queries
for(int j = 0; j < q; j++)
{
// Effective number of
// right circular shifts
int i = k[j] % (n / 2);
// Calculating the OR of
// the two halves of the
// array from the segment tree
// OR of second half of the
// array [n/2-i, n-1-i]
int sec = query(1, 0, n - 1,
n / 2 - i,
n - i - 1, a);
// OR of first half of the array
// [n-i, n-1]OR[0, n/2-1-i]
int first = (query(1, 0, n - 1, 0,
n / 2 - 1 - i, a) |
query(1, 0, n - 1,
n - i, n - 1, a));
int temp = sec + first;
// Print final answer to the query
System.out.print(temp + "\n");
}
}
// Driver Code
public static void main(String[] args)
{
int a[] = { 7, 44, 19, 86, 65, 39, 75, 101 };
int n = a.length;
int q = 2;
int k[] = { 4, 2 };
orsum(a, n, q, k);
}
}
// This code is contributed by 29AjayKumar
Python3
# Python3 program to find Bitwise OR of two
# equal halves of an array after performing
# K right circular shifts
MAX = 100005
# Array for storing
# the segment tree
seg = [0] * (4 * MAX)
# Function to build the segment tree
def build(node, l, r, a):
if (l == r):
seg[node] = a[l]
else:
mid = (l + r) // 2
build(2 * node, l, mid, a)
build(2 * node + 1, mid + 1, r, a)
seg[node] = (seg[2 * node] |
seg[2 * node + 1])
# Function to return the OR
# of elements in the range [l, r]
def query(node, l, r, start, end, a):
# Check for out of bound condition
if (l > end or r < start):
return 0
if (start <= l and r <= end):
return seg[node]
# Find middle of the range
mid = (l + r) // 2
# Recurse for all the elements in array
return ((query(2 * node, l, mid,
start, end, a)) |
(query(2 * node + 1, mid + 1,
r, start, end, a)))
# Function to find the OR sum
def orsum(a, n, q, k):
# Function to build the segment Tree
build(1, 0, n - 1, a)
# Loop to handle q queries
for j in range(q):
# Effective number of
# right circular shifts
i = k[j] % (n // 2)
# Calculating the OR of
# the two halves of the
# array from the segment tree
# OR of second half of the
# array [n/2-i, n-1-i]
sec = query(1, 0, n - 1, n // 2 - i,
n - i - 1, a)
# OR of first half of the array
# [n-i, n-1]OR[0, n/2-1-i]
first = (query(1, 0, n - 1, 0,
n // 2 -
1 - i, a) |
query(1, 0, n - 1,
n - i,
n - 1, a))
temp = sec + first
# Print final answer to the query
print(temp)
# Driver Code
if __name__ == "__main__":
a = [ 7, 44, 19, 86, 65, 39, 75, 101 ]
n = len(a)
q = 2
k = [ 4, 2 ]
orsum(a, n, q, k)
# This code is contributed by chitranayal
C#
// C# program to find Bitwise OR of two
// equal halves of an array after performing
// K right circular shifts
using System;
class GFG{
static int MAX = 100005;
// Array for storing
// the segment tree
static int []seg = new int[4 * MAX];
// Function to build the segment tree
static void build(int node, int l,
int r, int []a)
{
if (l == r)
seg[node] = a[l];
else
{
int mid = (l + r) / 2;
build(2 * node, l, mid, a);
build(2 * node + 1, mid + 1, r, a);
seg[node] = (seg[2 * node] |
seg[2 * node + 1]);
}
}
// Function to return the OR
// of elements in the range [l, r]
static int query(int node, int l, int r,
int start, int end, int []a)
{
// Check for out of bound condition
if (l > end || r < start)
return 0;
if (start <= l && r <= end)
return seg[node];
// Find middle of the range
int mid = (l + r) / 2;
// Recurse for all the elements in array
return ((query(2 * node, l, mid,
start, end, a)) |
(query(2 * node + 1, mid + 1,
r, start, end, a)));
}
// Function to find the OR sum
static void orsum(int []a, int n,
int q, int []k)
{
// Function to build the segment Tree
build(1, 0, n - 1, a);
// Loop to handle q queries
for(int j = 0; j < q; j++)
{
// Effective number of
// right circular shifts
int i = k[j] % (n / 2);
// Calculating the OR of
// the two halves of the
// array from the segment tree
// OR of second half of the
// array [n/2-i, n-1-i]
int sec = query(1, 0, n - 1,
n / 2 - i,
n - i - 1, a);
// OR of first half of the array
// [n-i, n-1]OR[0, n/2-1-i]
int first = (query(1, 0, n - 1, 0,
n / 2 - 1 - i, a) |
query(1, 0, n - 1,
n - i, n - 1, a));
int temp = sec + first;
// Print readonly answer to the query
Console.Write(temp + "\n");
}
}
// Driver Code
public static void Main(String[] args)
{
int []a = { 7, 44, 19, 86, 65, 39, 75, 101 };
int n = a.Length;
int q = 2;
int []k = { 4, 2 };
orsum(a, n, q, k);
}
}
// This code is contributed by 29AjayKumar
Javascript
<script>
// javascript program to find Bitwise OR of two
// equal halves of an array after performing
// K right circular shifts
const MAX = 100005;
// Array for storing
// the segment tree
var seg = Array(4 * MAX).fill(0);
// Function to build the segment tree
function build(node , l , r , a) {
if (l == r)
seg[node] = a[l];
else {
var mid = parseInt((l + r) / 2);
build(2 * node, l, mid, a);
build(2 * node + 1, mid + 1, r, a);
seg[node] = (seg[2 * node] | seg[2 * node + 1]);
}
}
// Function to return the OR
// of elements in the range [l, r]
function query(node , l , r , start , end , a) {
// Check for out of bound condition
if (l > end || r < start)
return 0;
if (start <= l && r <= end)
return seg[node];
// Find middle of the range
var mid = parseInt((l + r) / 2);
// Recurse for all the elements in array
return ((query(2 * node, l, mid, start, end, a)) | (query(2 * node + 1, mid + 1, r, start, end, a)));
}
// Function to find the OR sum
function orsum(a , n , q , k) {
// Function to build the segment Tree
build(1, 0, n - 1, a);
// Loop to handle q queries
for (j = 0; j < q; j++) {
// Effective number of
// right circular shifts
var i = k[j] % (n / 2);
// Calculating the OR of
// the two halves of the
// array from the segment tree
// OR of second half of the
// array [n/2-i, n-1-i]
var sec = query(1, 0, n - 1, n / 2 - i, n - i - 1, a);
// OR of first half of the array
// [n-i, n-1]OR[0, n/2-1-i]
var first = (query(1, 0, n - 1, 0, n / 2 - 1 - i, a) | query(1, 0, n - 1, n - i, n - 1, a));
var temp = sec + first;
// Print final answer to the query
document.write(temp + "<br/>");
}
}
// Driver Code
var a = [ 7, 44, 19, 86, 65, 39, 75, 101 ];
var n = a.length;
var q = 2;
var k = [ 4, 2 ];
orsum(a, n, q, k);
// This code is contributed by Rajput-Ji.
</script>
Output:
238
230
Time Complexity: O(N + Q*log(N))
Auxiliary Space: O(4*MAX)
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14 Mar, 2023 | Check if a string can be formed from another string by at most X circular clockwise shifts
14 Mar, 2023
Given an integer X and two strings S1 and S2, the task is to check that string S1 can be converted to the string S2 by shifting characters circular clockwise atmost X times.
Input: S1 = “abcd”, S2 = “dddd”, X = 3 Output: Yes Explanation: Given string S1 can be converted to string S2 as- Character “a” – Shift 3 times – “d” Character “b” – Shift 2 times – “d” Character “c” – Shift 1 times – “d” Character “d” – Shift 0 times – “d”
Input: S1 = “you”, S2 = “ara”, X = 6 Output: Yes Explanation: Given string S1 can be converted to string S2 as – Character “y” – Circular Shift 2 times – “a” Character “o” – Shift 3 times – “r” Character “u” – Circular Shift 6 times – “a”
Approach: The idea is to traverse the string and for each index and find the difference between the ASCII values of the character at the respective indices of the two strings. If the difference is less than 0, then for a circular shift, add 26 to get the actual difference. If for any index, the difference exceeds X, then S2 can’t be formed from S1, otherwise possible.
Follow the below steps to implement the above idea:
Declare integer variables diff and n.
Assign the length of string s1 to variable n.
Iterate over each character of the strings.
If the characters at the current index are the same, continue to the next iteration of the loop.
Calculate the difference between the ASCII values of the characters at the current index of both strings.
To handle the circular shift, add 26 to the difference and then take the result modulo 26.
Check if the resulting difference is greater than x. If yes, output “NO” and return from the function.
If the loop completes without returning, output “YES” to indicate that the conversion is possible.
Below is the implementation of the above approach:
C++
// C++ implementation to check
// that a given string can be
// converted to another string
// by circular clockwise shift
// of each character by atmost
// X times
#include <bits/stdc++.h>
using namespace std;
// Function to check that all
// characters of s1 can be
// converted to s2 by circular
// clockwise shift atmost X times
void isConversionPossible(string s1,
string s2, int x)
{
int diff, n;
n = s1.length();
// Check for all characters of
// the strings whether the
// difference between their
// ascii values is less than
// X or not
for (int i = 0; i < n; i++) {
// If both the characters
// are same
if (s1[i] == s2[i])
continue;
// Calculate the difference
// between the ASCII values
// of the characters
diff = (int(s2[i] - s1[i])
+ 26)
% 26;
// If difference exceeds X
if (diff > x) {
cout << "NO" << endl;
return;
}
}
cout << "YES" << endl;
}
// Driver Code
int main()
{
string s1 = "you";
string s2 = "ara";
int x = 6;
// Function call
isConversionPossible(s1, s2, x);
return 0;
}
Java
// Java implementation to check
// that a given string can be
// converted to another string
// by circular clockwise shift
// of each character by atmost
// X times
import java.io.*;
import java.util.*;
class GFG{
// Function to check that all
// characters of s1 can be
// converted to s2 by circular
// clockwise shift atmost X times
static void isConversionPossible(String s1,
String s2,
int x)
{
int diff = 0, n;
n = s1.length();
// Check for all characters of
// the strings whether the
// difference between their
// ascii values is less than
// X or not
for(int i = 0; i < n; i++)
{
// If both the characters
// are same
if (s1.charAt(i) == s2.charAt(i))
continue;
// Calculate the difference
// between the ASCII values
// of the characters
diff = ((int)(s2.charAt(i) -
s1.charAt(i)) + 26) % 26;
// If difference exceeds X
if (diff > x)
{
System.out.println("NO");
return;
}
}
System.out.println("YES");
}
// Driver Code
public static void main (String[] args)
{
String s1 = "you";
String s2 = "ara";
int x = 6;
// Function call
isConversionPossible(s1, s2, x);
}
}
// This code is contributed by Ganeshchowdharysadanala
Python3
# Python3 implementation to check
# that the given string can be
# converted to another string
# by circular clockwise shift
# Function to check that the
# string s1 can be converted
# to s2 by clockwise circular
# shift of all characters of
# str1 atmost X times
def isConversionPossible(s1, s2, x):
n = len(s1)
s1 = list(s1)
s2 = list(s2)
for i in range(n):
# Difference between the
# ASCII numbers of characters
diff = ord(s2[i]) - ord(s1[i])
# If both characters
# are the same
if diff == 0:
continue
# Condition to check if the
# difference less than 0 then
# find the circular shift by
# adding 26 to it
if diff < 0:
diff = diff + 26
# If difference between
# their ASCII values
# exceeds X
if diff > x:
return False
return True
# Driver Code
if __name__ == "__main__":
s1 = "you"
s2 = "ara"
x = 6
# Function Call
result = isConversionPossible(s1, s2, x)
if result:
print("YES")
else:
print("NO")
C#
// C# implementation to check
// that a given string can be
// converted to another string
// by circular clockwise shift
// of each character by atmost
// X times
using System;
class GFG{
// Function to check that all
// characters of s1 can be
// converted to s2 by circular
// clockwise shift atmost X times
static void isConversionPossible(String s1,
String s2,
int x)
{
int diff = 0, n;
n = s1.Length;
// Check for all characters of
// the strings whether the
// difference between their
// ascii values is less than
// X or not
for(int i = 0; i < n; i++)
{
// If both the characters
// are same
if (s1[i] == s2[i])
continue;
// Calculate the difference
// between the ASCII values
// of the characters
diff = ((int)(s2[i] -
s1[i]) + 26) % 26;
// If difference exceeds X
if (diff > x)
{
Console.Write("NO");
return;
}
}
Console.Write("YES");
}
// Driver Code
public static void Main ()
{
String s1 = "you";
String s2 = "ara";
int x = 6;
// Function call
isConversionPossible(s1, s2, x);
}
}
// This code is contributed by chitranayal
Javascript
<script>
// Javascript implementation to check
// that a given string can be
// converted to another string
// by circular clockwise shift
// of each character by atmost
// X times
// Function to check that all
// characters of s1 can be
// converted to s2 by circular
// clockwise shift atmost X times
function isConversionPossible(s1,s2,x)
{
let diff = 0, n;
n = s1.length;
// Check for all characters of
// the strings whether the
// difference between their
// ascii values is less than
// X or not
for(let i = 0; i < n; i++)
{
// If both the characters
// are same
if (s1[i] == s2[i])
continue;
// Calculate the difference
// between the ASCII values
// of the characters
diff = ((s2[i].charCodeAt(0) -
s1[i].charCodeAt(0)) + 26) % 26;
// If difference exceeds X
if (diff > x)
{
document.write("NO<br>");
return;
}
}
document.write("YES<br>");
}
// Driver Code
let s1 = "you";
let s2 = "ara";
let x = 6;
// Function call
isConversionPossible(s1, s2, x);
// This code is contributed by avanitrachhadiya2155
</script>
Output:
YES
Time Complexity:O(N),N=Length(S1)Auxiliary Space:O(1)
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17 Mar, 2023 | Cyclic shifts of integer N by another integer m
17 Mar, 2023
Given an integer N represented as a binary representation of X = 16 bits. We are also given a number ‘m’ and a character c which is either L or R. The task is to determine a number M that is generated after cyclically shifting the binary representation of N by m positions either left if c = L or right if c = R.Examples:
Input : N = 7881, m = 5, c = L Output : 55587 Explanation: N in binary is 0001 1110 1100 1001 and shifting it left by 5 positions, it becomes 1101 1001 0010 0011 which in the decimal system is 55587.Input : N = 7881, m = 3, c = R Output : 9177 Explanation: N in binary is 0001 1110 1100 1001 and shifted 3 positions to right, it becomes 0010 0011 1101 1001 which in the decimal system is 9177.
Approach:To solve the problem mentioned above we observe that we have to right shift the number by m if the char is R, else we will do a left shift by m if the char is L where left shifts is equivalent to multiplying a number by 2, right shifts is equivalent to dividing a number by 2.Below is the implementation of the above approach:
C++
// C++ implementation of the approach
#include<bits/stdc++.h>
using namespace std;
// Cyclic shifts of integer N by another integer m
void Count(int N, int m, char turn)
{
// str represents bitwise representation of N
string str = bitset<16>(N).to_string();
m%=(int)str.size();
// rotate the string by a specific count
if(turn=='R')
str = str.substr((int)str.size()-m) + str.substr(0,(int)str.size());
else
str = str.substr(m) + str.substr(0,m);
// printing the number represented by the bitset
// in str
cout << bitset<16> (str).to_ulong() << '\n';
}
int main()
{
int N = 7881 ;
int m = 5;
char turn = 'L';
Count(N,m,turn);
}
Java
import java.math.*;
public class CyclicShift {
static int N = 7881;
static int count = 5;
static char turn = 'L';
public static void main(String[] args) {
Count(N, count, turn);
}
static void Count(int N, int count, char turn) {
// Convert N into hexadecimal number and
// remove the initial zeros in it
String N_hex = Integer.toHexString(N);
// Convert hexadecimal term binary
// string of length = 16 with padded 0s
String S = String.format("%16s", Integer.toBinaryString(Integer.parseInt(N_hex, 16))).replace(' ', '0');
// rotate the string by a specific count
count = count % S.length();
if (turn == 'R') {
S = S.substring(S.length() - count) + S.substring(0, S.length() - count);
} else {
S = S.substring(count) + S.substring(0, count);
}
// Convert the rotated binary string
// in decimal form, here 2 means in binary form.
System.out.println(Integer.parseInt(S, 2));
}
}
Python3
# Python implementation to make
# Cyclic shifts of integer N by another integer m
def Count(N, count, turn):
# Convert N into hexadecimal number and
# remove the initial zeros in it
N = hex(int(N)).split('x')[-1]
# Convert hexadecimal term binary
# string of length = 16 with padded 0s
S = ( bin(int(N, 16))[2:] ).zfill(16)
# rotate the string by a specific count
if(turn == 'R'):
S = (S[16 - int(count) : ] + S[0 : 16 - int(count)])
else:
S = (S[int(count) : ] + S[0 : int(count)])
# Convert the rotated binary string
# in decimal form, here 2 means in binary form.
print(int(S, 2))
# driver code
N = 7881
count = 5
turn = 'L'
Count(N, count, turn)
Javascript
// Javascript code of above approach
function Count(N, count, turn) {
// Convert N into hexadecimal number and remove the initial zeros in it
N = N.toString(16).replace(/^0+/, '');
// Convert hexadecimal term binary string of length = 16 with padded 0s
let S = parseInt(N, 16).toString(2).padStart(16, '0');
// rotate the string by a specific count
if (turn === 'R') {
S = S.slice(16 - count) + S.slice(0, 16 - count);
} else {
S = S.slice(count) + S.slice(0, count);
}
// Convert the rotated binary string in decimal form
console.log(parseInt(S, 2));
}
// driver code
const N = 7881;
const count = 5;
const turn = 'L';
Count(N, count, turn);
// This code is contributed by princekumaras
C#
// C# program for the above approach
using System;
public class CyclicShift {
static int N = 7881;
static int count = 5;
static char turn = 'L';
public static void Main(string[] args) {
Count(N, count, turn);
}
static void Count(int N, int count, char turn) {
// Convert N into hexadecimal number and
// remove the initial zeros in it
string N_hex = N.ToString("X");
// Convert hexadecimal term binary
// string of length = 16 with padded 0s
string S = Convert.ToString(Convert.ToInt32(N_hex, 16), 2).PadLeft(16, '0');
// rotate the string by a specific count
count = count % S.Length;
if (turn == 'R') {
S = S.Substring(S.Length - count) + S.Substring(0, S.Length - count);
} else {
S = S.Substring(count) + S.Substring(0, count);
}
// Convert the rotated binary string
// in decimal form, here 2 means in binary form.
Console.WriteLine(Convert.ToInt32(S, 2));
}
}
// This code is contributed by princekumaras
Output:
55587
Time Complexity: O(n)
Auxiliary Space: O(1)
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06 Sep, 2024 | Python3 Program to Find array sum using Bitwise OR after splitting given array in two halves after K circular shifts
06 Sep, 2024
Given an array A[] of length N, where N is an even number, the task is to answer Q independent queries where each query consists of a positive integer K representing the number of circular shifts performed on the array and find the sum of elements by performing Bitwise OR operation on the divided array.Note: Each query begins with the original array.Examples:
Input: A[] = {12, 23, 4, 21, 22, 76}, Q = 1, K = 2 Output: 117 Explanation: Since K is 2, modified array A[]={22, 76, 12, 23, 4, 21}. Bitwise OR of first half of array = (22 | 76 | 12) = 94 Bitwise OR of second half of array = (21 | 23 | 4) = 23 Sum of OR values is 94 + 23 = 117Input: A[] = {7, 44, 19, 86, 65, 39, 75, 101}, Q = 1, K = 4 Output: 238 Since K is 4, modified array A[]={65, 39, 75, 101, 7, 44, 19, 86}. Bitwise OR of first half of array = 111 Bitwise OR of second half of array = 127 Sum of OR values is 111 + 127 = 238
Naive Approach: To solve the problem mentioned above the simplest approach is to shift each element of the array by K % (N / 2) and then traverse the array to calculate the OR of the two halves for every query. But this method is not efficient and hence can be optimized further.Efficient Approach: To optimize the above mentioned approach we can take the help of Segment Tree data structure.
Observation:
We can observe that after exactly N / 2 right circular shifts the two halves of the array become the same as in the original array. This effectively reduces the number of rotations to K % (N / 2).Performing a right circular shift is basically shifting the last element of the array to the front. So for any positive integer X performing X right circular shifts is equal to shifting the last X elements of the array to the front.Following are the steps to solve the problem :
Construct a segment tree for the original array A[] and assign a variable let’s say i = K % (N / 2).Then for each query we use the segment tree of find the bitwise OR; that is Bitwise OR of i elements from the end OR bitwise OR of the first (N / 2) – i – 1 elements.Then calculate the bitwise OR of elements in range [(N / 2) – i, N – i – 1].Add the two results to get the answer for the ith query.Below is the implementation of the above approach:
Python3
# Python3 program to find Bitwise OR of two
# equal halves of an array after performing
# K right circular shifts
MAX = 100005
# Array for storing
# the segment tree
seg = [0] * (4 * MAX)
# Function to build the segment tree
def build(node, l, r, a):
if (l == r):
seg[node] = a[l]
else:
mid = (l + r) // 2
build(2 * node, l, mid, a)
build(2 * node + 1, mid + 1, r, a)
seg[node] = (seg[2 * node] |
seg[2 * node + 1])
# Function to return the OR
# of elements in the range [l, r]
def query(node, l, r, start, end, a):
# Check for out of bound condition
if (l > end or r < start):
return 0
if (start <= l and r <= end):
return seg[node]
# Find middle of the range
mid = (l + r) // 2
# Recurse for all the elements in array
return ((query(2 * node, l, mid,
start, end, a)) |
(query(2 * node + 1, mid + 1,
r, start, end, a)))
# Function to find the OR sum
def orsum(a, n, q, k):
# Function to build the segment Tree
build(1, 0, n - 1, a)
# Loop to handle q queries
for j in range(q):
# Effective number of
# right circular shifts
i = k[j] % (n // 2)
# Calculating the OR of
# the two halves of the
# array from the segment tree
# OR of second half of the
# array [n/2-i, n-1-i]
sec = query(1, 0, n - 1, n // 2 - i,
n - i - 1, a)
# OR of first half of the array
# [n-i, n-1]OR[0, n/2-1-i]
first = (query(1, 0, n - 1, 0,
n // 2 -
1 - i, a) |
query(1, 0, n - 1,
n - i,
n - 1, a))
temp = sec + first
# Print final answer to the query
print(temp)
# Driver Code
if __name__ == "__main__":
a = [ 7, 44, 19, 86, 65, 39, 75, 101 ]
n = len(a)
q = 2
k = [ 4, 2 ]
orsum(a, n, q, k)
# This code is contributed by chitranayal
Output238
230Time Complexity: O(N + Q*logN)
Auxiliary Space: O(4*MAX)
Please refer complete article on Find array sum using Bitwise OR after splitting given array in two halves after K circular shifts for more details!
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25 Jan, 2022 | Java Program for Check if a string can be formed from another string by at most X circular clockwise shifts
25 Jan, 2022
Given an integer X and two strings S1 and S2, the task is to check that string S1 can be converted to the string S2 by shifting characters circular clockwise atmost X times.
Input: S1 = “abcd”, S2 = “dddd”, X = 3 Output: Yes Explanation: Given string S1 can be converted to string S2 as- Character “a” – Shift 3 times – “d” Character “b” – Shift 2 times – “d” Character “c” – Shift 1 times – “d” Character “d” – Shift 0 times – “d”
Input: S1 = “you”, S2 = “ara”, X = 6 Output: Yes Explanation: Given string S1 can be converted to string S2 as – Character “y” – Circular Shift 2 times – “a” Character “o” – Shift 3 times – “r” Character “u” – Circular Shift 6 times – “a”
Approach: The idea is to traverse the string and for each index and find the difference between the ASCII values of the character at the respective indices of the two strings. If the difference is less than 0, then for a circular shift, add 26 to get the actual difference. If for any index, the difference exceeds X, then S2 can’t be formed from S1, otherwise possible. Below is the implementation of the above approach:
Java
// Java implementation to check
// that a given string can be
// converted to another string
// by circular clockwise shift
// of each character by atmost
// X times
import java.io.*;
import java.util.*;
class GFG{
// Function to check that all
// characters of s1 can be
// converted to s2 by circular
// clockwise shift atmost X times
static void isConversionPossible(String s1,
String s2,
int x)
{
int diff = 0, n;
n = s1.length();
// Check for all characters of
// the strings whether the
// difference between their
// ascii values is less than
// X or not
for(int i = 0; i < n; i++)
{
// If both the characters
// are same
if (s1.charAt(i) == s2.charAt(i))
continue;
// Calculate the difference
// between the ASCII values
// of the characters
diff = ((int)(s2.charAt(i) -
s1.charAt(i)) + 26) % 26;
// If difference exceeds X
if (diff > x)
{
System.out.println("NO");
return;
}
}
System.out.println("YES");
}
// Driver Code
public static void main (String[] args)
{
String s1 = "you";
String s2 = "ara";
int x = 6;
// Function call
isConversionPossible(s1, s2, x);
}
}
// This code is contributed by Ganeshchowdharysadanala
Output:
YES
Time Complexity:O(N),N=Length(S1)
Auxiliary Space:O(1)
Please refer complete article on Check if a string can be formed from another string by at most X circular clockwise shifts for more details!
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31 Mar, 2022 | Java Program to Find array sum using Bitwise OR after splitting given array in two halves after K circular shifts
31 Mar, 2022
Given an array A[] of length N, where N is an even number, the task is to answer Q independent queries where each query consists of a positive integer K representing the number of circular shifts performed on the array and find the sum of elements by performing Bitwise OR operation on the divided array.Note: Each query begins with the original array.Examples:
Input: A[] = {12, 23, 4, 21, 22, 76}, Q = 1, K = 2 Output: 117 Explanation: Since K is 2, modified array A[]={22, 76, 12, 23, 4, 21}. Bitwise OR of first half of array = (22 | 76 | 12) = 94 Bitwise OR of second half of array = (21 | 23 | 4) = 23 Sum of OR values is 94 + 23 = 117Input: A[] = {7, 44, 19, 86, 65, 39, 75, 101}, Q = 1, K = 4 Output: 238 Since K is 4, modified array A[]={65, 39, 75, 101, 7, 44, 19, 86}. Bitwise OR of first half of array = 111 Bitwise OR of second half of array = 127 Sum of OR values is 111 + 127 = 238
Naive Approach: To solve the problem mentioned above the simplest approach is to shift each element of the array by K % (N / 2) and then traverse the array to calculate the OR of the two halves for every query. But this method is not efficient and hence can be optimized further.Efficient Approach: To optimize the above mentioned approach we can take the help of Segment Tree data structure.
Observation:
We can observe that after exactly N / 2 right circular shifts the two halves of the array become the same as in the original array. This effectively reduces the number of rotations to K % (N / 2).
Performing a right circular shift is basically shifting the last element of the array to the front. So for any positive integer X performing X right circular shifts is equal to shifting the last X elements of the array to the front.
Following are the steps to solve the problem :
Construct a segment tree for the original array A[] and assign a variable let’s say i = K % (N / 2).
Then for each query we use the segment tree of find the bitwise OR; that is Bitwise OR of i elements from the end OR bitwise OR of the first (N / 2) – i – 1 elements.
Then calculate the bitwise OR of elements in range [(N / 2) – i, N – i – 1].
Add the two results to get the answer for the ith query.
Below is the implementation of the above approach:
Java
// Java program to find Bitwise OR of two
// equal halves of an array after performing
// K right circular shifts
import java.util.*;
class GFG{
static int MAX = 100005;
// Array for storing
// the segment tree
static int []seg = new int[4 * MAX];
// Function to build the segment tree
static void build(int node, int l,
int r, int a[])
{
if (l == r)
seg[node] = a[l];
else
{
int mid = (l + r) / 2;
build(2 * node, l, mid, a);
build(2 * node + 1, mid + 1, r, a);
seg[node] = (seg[2 * node] |
seg[2 * node + 1]);
}
}
// Function to return the OR
// of elements in the range [l, r]
static int query(int node, int l, int r,
int start, int end, int a[])
{
// Check for out of bound condition
if (l > end || r < start)
return 0;
if (start <= l && r <= end)
return seg[node];
// Find middle of the range
int mid = (l + r) / 2;
// Recurse for all the elements in array
return ((query(2 * node, l, mid,
start, end, a)) |
(query(2 * node + 1, mid + 1,
r, start, end, a)));
}
// Function to find the OR sum
static void orsum(int a[], int n,
int q, int k[])
{
// Function to build the segment Tree
build(1, 0, n - 1, a);
// Loop to handle q queries
for(int j = 0; j < q; j++)
{
// Effective number of
// right circular shifts
int i = k[j] % (n / 2);
// Calculating the OR of
// the two halves of the
// array from the segment tree
// OR of second half of the
// array [n/2-i, n-1-i]
int sec = query(1, 0, n - 1,
n / 2 - i,
n - i - 1, a);
// OR of first half of the array
// [n-i, n-1]OR[0, n/2-1-i]
int first = (query(1, 0, n - 1, 0,
n / 2 - 1 - i, a) |
query(1, 0, n - 1,
n - i, n - 1, a));
int temp = sec + first;
// Print final answer to the query
System.out.print(temp + "
");
}
}
// Driver Code
public static void main(String[] args)
{
int a[] = { 7, 44, 19, 86, 65, 39, 75, 101 };
int n = a.length;
int q = 2;
int k[] = { 4, 2 };
orsum(a, n, q, k);
}
}
// This code is contributed by 29AjayKumar
Output:
238
230
Time Complexity: O(N + Q*logN)
Auxiliary Space: O(4*MAX)
Please refer complete article on Find array sum using Bitwise OR after splitting given array in two halves after K circular shifts for more details!
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14 Feb, 2023 | Java Program for Given a sorted and rotated array, find if there is a pair with a given sum
14 Feb, 2023
Given an array that is sorted and then rotated around an unknown point. Find if the array has a pair with a given sum ‘x’. It may be assumed that all elements in the array are distinct.
Examples :
Input: arr[] = {11, 15, 6, 8, 9, 10}, x = 16
Output: true
There is a pair (6, 10) with sum 16
Input: arr[] = {11, 15, 26, 38, 9, 10}, x = 35
Output: true
There is a pair (26, 9) with sum 35
Input: arr[] = {11, 15, 26, 38, 9, 10}, x = 45
Output: false
There is no pair with sum 45.
We have discussed a O(n) solution for a sorted array (See steps 2, 3 and 4 of Method 1). We can extend this solution for rotated array as well. The idea is to first find the largest element in array which is the pivot point also and the element just after largest is the smallest element. Once we have indexes largest and smallest elements, we use similar meet in middle algorithm (as discussed here in method 1) to find if there is a pair. The only thing new here is indexes are incremented and decremented in rotational manner using modular arithmetic.
Following is the implementation of above idea.
Java
// Java program to find
// number of pairs with
// a given sum in a sorted
// and rotated array.
import java.io.*;
class GFG
{
// This function returns
// count of number of pairs
// with sum equals to x.
static int pairsInSortedRotated(int arr[],
int n, int x)
{
// Find the pivot element.
// Pivot element is largest
// element of array.
int i;
for (i = 0; i < n - 1; i++)
if (arr[i] > arr[i + 1])
break;
// l is index of
// smallest element.
int l = (i + 1) % n;
// r is index of
// largest element.
int r = i;
// Variable to store
// count of number
// of pairs.
int cnt = 0;
// Find sum of pair
// formed by arr[l]
// and arr[r] and
// update l, r and
// cnt accordingly.
while (l != r)
{
// If we find a pair with
// sum x, then increment
// cnt, move l and r to
// next element.
if (arr[l] + arr[r] == x)
{
cnt++;
// This condition is required
// to be checked, otherwise
// l and r will cross each
// other and loop will never
// terminate.
if(l == (r - 1 + n) % n)
{
return cnt;
}
l = (l + 1) % n;
r = (r - 1 + n) % n;
}
// If current pair sum
// is less, move to
// the higher sum side.
else if (arr[l] + arr[r] < x)
l = (l + 1) % n;
// If current pair sum
// is greater, move
// to the lower sum side.
else
r = (n + r - 1) % n;
}
return cnt;
}
// Driver Code
public static void main (String[] args)
{
int arr[] = {11, 15, 6, 7, 9, 10};
int sum = 16;
int n = arr.length;
System.out.println(
pairsInSortedRotated(arr, n, sum));
}
}
// This code is contributed by ajit
Output :
Array has two elements with sum 16
The time complexity of the above solution is O(n). The step to find the pivot can be optimized to O(Logn) using the Binary Search approach discussed here.Space complexity: O(1),as we only need a few variables to store intermediate values.
How to count all pairs having sum x? The stepwise algo is:
Find the pivot element of the sorted and the rotated array. The pivot element is the largest element in the array. The smallest element will be adjacent to it.
Use two pointers (say left and right) with the left pointer pointing to the smallest element and the right pointer pointing to largest element.
Find the sum of the elements pointed by both the pointers.
If the sum is equal to x, then increment the count. If the sum is less than x, then to increase sum move the left pointer to next position by incrementing it in a rotational manner. If the sum is greater than x, then to decrease sum move the right pointer to next position by decrementing it in rotational manner.
Repeat step 3 and 4 until the left pointer is not equal to the right pointer or until the left pointer is not equal to right pointer – 1.
Print final count.
Below is implementation of above algorithm:
Java
Output:
2
Time Complexity: O(n) Auxiliary Space: O(1) This method is suggested by Nikhil Jindal.
Exercise: 1) Extend the above solution to work for arrays with duplicates allowed.
Please refer complete article on Given a sorted and rotated array, find if there is a pair with a given sum for more details!
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19 Sep, 2023 | C# Program for Search an element in a sorted and rotated array
19 Sep, 2023
An element in a sorted array can be found in O(log n) time via binary search. But suppose we rotate an ascending order sorted array at some pivot unknown to you beforehand. So for instance, 1 2 3 4 5 might become 3 4 5 1 2. Devise a way to find an element in the rotated array in O(log n) time.
Example:
Input : arr[] = {5, 6, 7, 8, 9, 10, 1, 2, 3};
key = 3
Output : Found at index 8
Input : arr[] = {5, 6, 7, 8, 9, 10, 1, 2, 3};
key = 30
Output : Not found
Input : arr[] = {30, 40, 50, 10, 20}
key = 10
Output : Found at index 3
Recommended: Please solve it on “PRACTICE ” first, before moving on to the solution.
All solutions provided here assume that all elements in the array are distinct.Basic Solution: Approach:
The idea is to find the pivot point, divide the array in two sub-arrays and perform binary search.
The main idea for finding pivot is – for a sorted (in increasing order) and pivoted array, pivot element is the only element for which next element to it is smaller than it.
Using the above statement and binary search pivot can be found.
After the pivot is found out divide the array in two sub-arrays.
Now the individual sub – arrays are sorted so the element can be searched using Binary Search.
Implementation:
Input arr[] = {3, 4, 5, 1, 2}
Element to Search = 1
1) Find out pivot point and divide the array in two
sub-arrays. (pivot = 2) /*Index of 5*/
2) Now call binary search for one of the two sub-arrays.
(a) If element is greater than 0th element then
search in left array
(b) Else Search in right array
(1 will go in else as 1 < 0th element(3))
3) If element is found in selected sub-array then return index
Else return -1.
Below is the implementation of the above approach:
C#
// C# program to search an element
// in a sorted and pivoted array
using System;
class main {
// Searches an element key in a
// pivoted sorted array arrp[]
// of size n
static int pivotedBinarySearch(int[] arr,
int n, int key)
{
int pivot = findPivot(arr, 0, n - 1);
// If we didn't find a pivot, then
// array is not rotated at all
if (pivot == -1)
return binarySearch(arr, 0, n - 1, key);
// If we found a pivot, then first
// compare with pivot and then
// search in two subarrays around pivot
if (arr[pivot] == key)
return pivot;
if (arr[0] <= key)
return binarySearch(arr, 0, pivot - 1, key);
return binarySearch(arr, pivot + 1, n - 1, key);
}
/* Function to get pivot. For array
3, 4, 5, 6, 1, 2 it returns
3 (index of 6) */
static int findPivot(int[] arr, int low, int high)
{
// base cases
if (high < low)
return -1;
if (high == low)
return low;
/* low + (high - low)/2; */
int mid = (low + high) / 2;
if (mid < high && arr[mid] > arr[mid + 1])
return mid;
if (mid > low && arr[mid] < arr[mid - 1])
return (mid - 1);
if (arr[low] >= arr[mid])
return findPivot(arr, low, mid - 1);
return findPivot(arr, mid + 1, high);
}
/* Standard Binary Search function */
static int binarySearch(int[] arr, int low,
int high, int key)
{
if (high < low)
return -1;
/* low + (high - low)/2; */
int mid = (low + high) / 2;
if (key == arr[mid])
return mid;
if (key > arr[mid])
return binarySearch(arr, (mid + 1), high, key);
return binarySearch(arr, low, (mid - 1), key);
}
// Driver Code
public static void Main()
{
// Let us search 3 in below array
int[] arr1 = { 5, 6, 7, 8, 9, 10, 1, 2, 3 };
int n = arr1.Length;
int key = 3;
Console.Write("Index of the element is : "
+ pivotedBinarySearch(arr1, n, key));
}
}
// This code is contributed by vt_m.
Output:
Index of the element is : 8
Complexity Analysis:
Time Complexity: O(log n). Binary Search requires log n comparisons to find the element. So time complexity is O(log n).
Space Complexity:O(1), No extra space is required.
Thanks to Ajay Mishra for initial solution.Improved Solution: Approach: Instead of two or more pass of binary search the result can be found in one pass of binary search. The binary search needs to be modified to perform the search. The idea is to create a recursive function that takes l and r as range in input and the key.
1) Find middle point mid = (l + h)/2
2) If key is present at middle point, return mid.
3) Else If arr[l..mid] is sorted
a) If key to be searched lies in range from arr[l]
to arr[mid], recur for arr[l..mid].
b) Else recur for arr[mid+1..h]
4) Else (arr[mid+1..h] must be sorted)
a) If key to be searched lies in range from arr[mid+1]
to arr[h], recur for arr[mid+1..h].
b) Else recur for arr[l..mid]
Below is the implementation of above idea:
C#
/* C# program to search an element in
sorted and rotated array using
single pass of Binary Search*/
using System;
class GFG {
// Returns index of key in arr[l..h]
// if key is present, otherwise
// returns -1
static int search(int[] arr, int l, int h,
int key)
{
if (l > h)
return -1;
int mid = (l + h) / 2;
if (arr[mid] == key)
return mid;
/* If arr[l...mid] is sorted */
if (arr[l] <= arr[mid]) {
/* As this subarray is sorted, we
can quickly check if key lies in
half or other half */
if (key >= arr[l] && key <= arr[mid])
return search(arr, l, mid - 1, key);
return search(arr, mid + 1, h, key);
}
/* If arr[l..mid] is not sorted,
then arr[mid... r] must be sorted*/
if (key >= arr[mid] && key <= arr[h])
return search(arr, mid + 1, h, key);
return search(arr, l, mid - 1, key);
}
// main function
public static void Main()
{
int[] arr = { 4, 5, 6, 7, 8, 9, 1, 2, 3 };
int n = arr.Length;
int key = 6;
int i = search(arr, 0, n - 1, key);
if (i != -1)
Console.WriteLine("Index: " + i);
else
Console.WriteLine("Key not found");
}
}
// This code is contributed by anuj_67.
Output:
Index: 2
Complexity Analysis:
Time Complexity: O(log n). Binary Search requires log n comparisons to find the element. So time complexity is O(log n).
Space Complexity: O(1). As no extra space is required.
Thanks to Gaurav Ahirwar for suggesting above solution. How to handle duplicates? It doesn’t look possible to search in O(Logn) time in all cases when duplicates are allowed. For example consider searching 0 in {2, 2, 2, 2, 2, 2, 2, 2, 0, 2} and {2, 0, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2}. It doesn’t look possible to decide whether to recur for the left half or right half by doing a constant number of comparisons at the middle.
Similar Articles:
Find the minimum element in a sorted and rotated array
Given a sorted and rotated array, find if there is a pair with a given sum.
Please write comments if you find any bug in the above codes/algorithms, or find other ways to solve the same problem.
Please refer complete article on Search an element in a sorted and rotated array for more details!
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07 Dec, 2024 | Search in a Sorted and Rotated Array
07 Dec, 2024
Try it on GfG Practice
Given a sorted and rotated array arr[] of n distinct elements, the task is to find the index of given key in the array. If the key is not present in the array, return -1.
Examples:
Input: arr[] = [5, 6, 7, 8, 9, 10, 1, 2, 3], key = 3Output: 8Explanation: 3 is present at index 8 in arr[].
Input: arr[] = [3, 5, 1, 2], key = 6Output: -1Explanation: 6 is not present in arr[].
Input: arr[] = [33, 42, 72, 99], key = 42Output: 1Explanation: 42 is found at index 1.
Table of Content
[Naive Approach] Using Linear Search – O(n) Time and O(1) Space[Expected Approach 1] Using Binary Search Twice – O(log n) Time and O(1) Space[Expected Approach 2] Using Single Binary Search – O(log n) Time and O(1) Space[Naive Approach] Using Linear Search – O(n) Time and O(1) SpaceA simple approach is to iterate through the array and check for each element, if it matches the target then return the index, otherwise return –1. To know more about the implementation, please refer Introduction to Linear Search Algorithm.
[Expected Approach 1] Using Binary Search Twice – O(log n) Time and O(1) SpaceThe idea is to use binary search twice:
1. Find the pivot point (or index of the min element) : For example, the min in [4, 5, 6, 7, 0, 1, 2] is 0 at index 4. Refer Minimum in a Sorted and Rotated Array to find the index of the minimum element.
2. Binary Search in the Sorted Subarray: Once we find the pivot, we can easily divide the given array into two sorted subarrays using the index of the minimum element. For example, the index of the minimum element in [4, 5, 6, 7, 0, 1, 2] is 4, so the two sorted subarrays are [4, 5, 6, 7] and [1, 2]. Following are the cases that arise
If the minimum element = key, then return index of the minimum element. If index of minimum element is 0, then the whole array is sorted, we call binary search for the whole array.If index of minimum element > 0, then instead of calling binary search for both sides, we can save one binary search by comparing the given key with the first element on left side. If key is greater than equal to the first element, we do binary search in the first subarray else in the second.
C++
// C++ program to search an element in sorted and rotated
// array using binary search twice
#include <iostream>
#include <vector>
using namespace std;
// An iterative binary search function
int binarySearch(vector<int> &arr, int lo, int hi, int x) {
while (lo <= hi) {
int mid = lo + (hi - lo) / 2;
if (arr[mid] == x) return mid;
if (arr[mid] < x) lo = mid + 1;
else hi = mid - 1;
}
return -1;
}
// Function to return pivot (index of the smallest element)
int findPivot(vector<int> &arr, int lo, int hi) {
while (lo < hi) {
// The current subarray is already sorted,
// the minimum is at the low index
if (arr[lo] <= arr[hi])
return lo;
int mid = (lo + hi) / 2;
// The right half is not sorted. So
// the minimum element must be in the
// right half.
if (arr[mid] > arr[hi])
lo = mid + 1;
// The right half is sorted. Note that in
// this case, we do not change high to mid - 1
// but keep it to mid. The mid element
// itself can be the smallest
else
hi = mid;
}
return lo;
}
// Searches an element key in a pivoted
// sorted array arr of size n
int search(vector<int> &arr, int key) {
int n = arr.size();
int pivot = findPivot(arr, 0, n - 1);
// If we found a pivot, then first compare with pivot
// and then search in two subarrays around pivot
if (arr[pivot] == key)
return pivot;
// If the minimum element is present at index
// 0, then the whole array is sorted
if (pivot == 0)
return binarySearch(arr, 0, n - 1, key);
if (arr[0] <= key)
return binarySearch(arr, 0, pivot - 1, key);
return binarySearch(arr, pivot + 1, n - 1, key);
}
int main() {
vector<int> arr = {5, 6, 7, 8, 9, 10, 1, 2, 3};
int key = 3;
cout << search(arr, key);
return 0;
}
C
// C program to search an element in sorted and rotated
// array using binary search twice
#include <stdio.h>
// An iterative binary search function
int binarySearch(int arr[], int lo, int hi, int x) {
while (lo <= hi) {
int mid = lo + (hi - lo) / 2;
if (arr[mid] == x) return mid;
if (arr[mid] < x) lo = mid + 1;
else hi = mid - 1;
}
return -1;
}
// Function to return pivot (index of the smallest element)
int findPivot(int arr[], int lo, int hi) {
while (lo < hi) {
// The current subarray is already sorted,
// the minimum is at the low index
if (arr[lo] <= arr[hi])
return lo;
int mid = (lo + hi) / 2;
// The right half is not sorted. So
// the minimum element must be in the
// right half.
if (arr[mid] > arr[hi])
lo = mid + 1;
// The right half is sorted. Note that in
// this case, we do not change high to mid - 1
// but keep it to mid. The mid element
// itself can be the smallest
else
hi = mid;
}
return lo;
}
// Searches an element key in a pivoted
// sorted array arr of size n
int search(int arr[], int n, int key) {
int pivot = findPivot(arr, 0, n - 1);
// If we found a pivot, then first compare with pivot
// and then search in two subarrays around pivot
if (arr[pivot] == key)
return pivot;
// If the minimum element is present at index
// 0, then the whole array is sorted
if (pivot == 0)
return binarySearch(arr, 0, n - 1, key);
if (arr[0] <= key)
return binarySearch(arr, 0, pivot - 1, key);
return binarySearch(arr, pivot + 1, n - 1, key);
}
int main() {
int arr[] = {5, 6, 7, 8, 9, 10, 1, 2, 3};
int n = sizeof(arr) / sizeof(arr[0]);
int key = 3;
printf("%d\n", search(arr, n, key));
return 0;
}
Java
// Java program to search an element in sorted and rotated
// array using binary search twice
import java.util.*;
class GfG {
// An iterative binary search function
static int binarySearch(int[] arr, int lo, int hi, int x) {
while (lo <= hi) {
int mid = lo + (hi - lo) / 2;
if (arr[mid] == x) return mid;
if (arr[mid] < x) lo = mid + 1;
else hi = mid - 1;
}
return -1;
}
// Function to return pivot (index of the smallest element)
static int findPivot(int[] arr, int lo, int hi) {
while (lo < hi) {
// The current subarray is already sorted,
// the minimum is at the low index
if (arr[lo] <= arr[hi])
return lo;
int mid = (lo + hi) / 2;
// The right half is not sorted. So
// the minimum element must be in the
// right half
if (arr[mid] > arr[hi])
lo = mid + 1;
// The right half is sorted. Note that in
// this case, we do not change high to mid - 1
// but keep it to mid. The mid element
// itself can be the smallest
else
hi = mid;
}
return lo;
}
// Searches an element key in a pivoted
// sorted array arr of size n
static int search(int[] arr, int key) {
int n = arr.length;
int pivot = findPivot(arr, 0, n - 1);
// If we found a pivot, then first compare with pivot
// and then search in two subarrays around pivot
if (arr[pivot] == key)
return pivot;
// If the minimum element is present at index
// 0, then the whole array is sorted
if (pivot == 0)
return binarySearch(arr, 0, n - 1, key);
if (arr[0] <= key)
return binarySearch(arr, 0, pivot - 1, key);
return binarySearch(arr, pivot + 1, n - 1, key);
}
public static void main(String[] args) {
int[] arr = {5, 6, 7, 8, 9, 10, 1, 2, 3};
int key = 3;
System.out.println(search(arr, key));
}
}
Python
# Python program to search an element in sorted and rotated
# array using binary search twice
# An iterative binary search function
def binarySearch(arr, lo, hi, x):
while lo <= hi:
mid = lo + (hi - lo) // 2
if arr[mid] == x:
return mid
if arr[mid] < x:
lo = mid + 1
else:
hi = mid - 1
return -1
# Function to return pivot (index of the smallest element)
def findPivot(arr, lo, hi):
while lo < hi:
# The current subarray is already sorted,
# the minimum is at the low index
if arr[lo] <= arr[hi]:
return lo
mid = (lo + hi) // 2
# The right half is not sorted. So
# the minimum element must be in the
# right half.
if arr[mid] > arr[hi]:
lo = mid + 1
# The right half is sorted. Note that in
# this case, we do not change high to mid - 1
# but keep it to mid. The mid element
# itself can be the smallest
else:
hi = mid
return lo
# Searches an element key in a pivoted
# sorted array arr of size n
def search(arr, key):
n = len(arr)
pivot = findPivot(arr, 0, n - 1)
# If we found a pivot, then first compare with pivot
# and then search in two subarrays around pivot
if arr[pivot] == key:
return pivot
# If the minimum element is present at index
# 0, then the whole array is sorted
if pivot == 0:
return binarySearch(arr, 0, n - 1, key)
if arr[0] <= key:
return binarySearch(arr, 0, pivot - 1, key)
return binarySearch(arr, pivot + 1, n - 1, key)
if __name__ == "__main__":
arr = [5, 6, 7, 8, 9, 10, 1, 2, 3]
key = 3
print(search(arr, key))
C#
// C# program to search an element in sorted and rotated
// array using binary search twice
using System;
class GfG {
// An iterative binary search function
static int binarySearch(int[] arr, int lo, int hi, int x) {
while (lo <= hi) {
int mid = lo + (hi - lo) / 2;
if (arr[mid] == x) return mid;
if (arr[mid] < x) lo = mid + 1;
else hi = mid - 1;
}
return -1;
}
// Function to return pivot (index of the smallest element)
static int findPivot(int[] arr, int lo, int hi) {
while (lo < hi) {
// The current subarray is already sorted,
// the minimum is at the low index
if (arr[lo] <= arr[hi])
return lo;
int mid = (lo + hi) / 2;
// The right half is not sorted. So
// the minimum element must be in the
// right half.
if (arr[mid] > arr[hi])
lo = mid + 1;
// The right half is sorted. Note that in
// this case, we do not change high to mid - 1
// but keep it to mid. The mid element
// itself can be the smallest
else
hi = mid;
}
return lo;
}
// Searches an element key in a pivoted
// sorted array arr of size n
static int search(int[] arr, int key) {
int n = arr.Length;
int pivot = findPivot(arr, 0, n - 1);
// If we found a pivot, then first compare with pivot
// and then search in two subarrays around pivot
if (arr[pivot] == key)
return pivot;
// If the minimum element is present at index
// 0, then the whole array is sorted
if (pivot == 0)
return binarySearch(arr, 0, n - 1, key);
if (arr[0] <= key)
return binarySearch(arr, 0, pivot - 1, key);
return binarySearch(arr, pivot + 1, n - 1, key);
}
static void Main(string[] args) {
int[] arr = { 5, 6, 7, 8, 9, 10, 1, 2, 3 };
int key = 3;
Console.WriteLine(search(arr, key));
}
}
JavaScript
// JavaScript program to search an element in sorted and rotated
// array using binary search twice
// An iterative binary search function
function binarySearch(arr, lo, hi, x) {
while (lo <= hi) {
let mid = lo + Math.floor((hi - lo) / 2);
if (arr[mid] === x) return mid;
if (arr[mid] < x) lo = mid + 1;
else hi = mid - 1;
}
return -1;
}
// Function to return pivot (index of the smallest element)
function findPivot(arr, lo, hi) {
while (lo < hi) {
// The current subarray is already sorted,
// the minimum is at the low index
if (arr[lo] <= arr[hi])
return lo;
let mid = Math.floor((lo + hi) / 2);
// The right half is not sorted. So
// the minimum element must be in the
// right half.
if (arr[mid] > arr[hi])
lo = mid + 1;
// The right half is sorted. Note that in
// this case, we do not change high to mid - 1
// but keep it to mid. The mid element
// itself can be the smallest
else
hi = mid;
}
return lo;
}
// Searches an element key in a pivoted
// sorted array arr of size n
function search(arr, key) {
let n = arr.length;
let pivot = findPivot(arr, 0, n - 1);
// If we found a pivot, then first compare with pivot
// and then search in two subarrays around pivot
if (arr[pivot] === key)
return pivot;
// If the minimum element is present at index
// 0, then the whole array is sorted
if (pivot === 0)
return binarySearch(arr, 0, n - 1, key);
if (arr[0] <= key)
return binarySearch(arr, 0, pivot - 1, key);
return binarySearch(arr, pivot + 1, n - 1, key);
}
// Driver code
let arr = [5, 6, 7, 8, 9, 10, 1, 2, 3];
let key = 3;
console.log(search(arr, key));
Output8[Expected Approach 2] Using Single Binary Search – O(log n) Time and O(1) SpaceThe idea is based on the fact that in a sorted and rotated array, if we go to mid, then either the left half would be sorted or the right half (both can also be sorted). For example, arr[] = [5, 6, 0, 1, 2, 3, 4], mid = 3 and we can see that the subarray from mid + 1 to high is sorted. And in [5, 6, 7, 8, 9, 3, 4], we can see that the subarray from low to mid-1 is sorted. We can check which half is sorted by comparing arr[low] and arr[mid] (We could also compare arr[high] and arr[mid]).
Find the mid point. If key is same as the mid, return the mid.Find which half is sorted. If the key lies in the sorted half, move to that half. Otherwise move to the other half.Note that once we find which half is sorted, we can easily check if the key lies here by checking if key lies in the range from smallest to largest in this half.
C++
// C++ program to search an element in sorted and rotated
// array using binary search
#include <iostream>
#include <vector>
using namespace std;
int search(vector<int>& arr, int key) {
// Initialize two pointers, lo and hi, at the start
// and end of the array
int lo = 0, hi = arr.size() - 1;
while (lo <= hi) {
int mid = lo + (hi - lo) / 2;
// If key found, return the index
if (arr[mid] == key)
return mid;
// If Left half is sorted
if (arr[mid] >= arr[lo]) {
// If the key lies within this sorted half,
// move the hi pointer to mid - 1
if (key >= arr[lo] && key < arr[mid])
hi = mid - 1;
// Otherwise, move the lo pointer to mid + 1
else
lo = mid + 1;
}
// If Right half is sorted
else {
// If the key lies within this sorted half,
// move the lo pointer to mid + 1
if (key > arr[mid] && key <= arr[hi])
lo = mid + 1;
// Otherwise, move the hi pointer to mid - 1
else
hi = mid - 1;
}
}
// Key not found
return -1;
}
int main() {
vector<int> arr1 = {5, 6, 7, 8, 9, 10, 1, 2, 3};
int key1 = 3;
cout << search(arr1, key1) << endl;
return 0;
}
C
// C program to search an element in sorted and rotated
// array using binary search
#include <stdio.h>
int search(int arr[], int n, int key) {
// Initialize two pointers, lo and hi, at the start
// and end of the array
int lo = 0, hi = n - 1;
while (lo <= hi) {
int mid = lo + (hi - lo) / 2;
// If key found, return the index
if (arr[mid] == key)
return mid;
// If Left half is sorted
if (arr[mid] >= arr[lo]) {
// If the key lies within this sorted half,
// move the hi pointer to mid - 1
if (key >= arr[lo] && key < arr[mid])
hi = mid - 1;
// Otherwise, move the lo pointer to mid + 1
else
lo = mid + 1;
}
// If Right half is sorted
else {
// If the key lies within this sorted half,
// move the lo pointer to mid + 1
if (key > arr[mid] && key <= arr[hi])
lo = mid + 1;
// Otherwise, move the hi pointer to mid - 1
else
hi = mid - 1;
}
}
// Key not found
return -1;
}
int main() {
int arr1[] = {5, 6, 7, 8, 9, 10, 1, 2, 3};
int n1 = sizeof(arr1) / sizeof(arr1[0]);
int key1 = 3;
printf("%d\n", search(arr1, n1, key1));
return 0;
}
Java
// Java program to search an element in sorted and rotated
// array using binary search
import java.util.*;
class GfG {
static int search(int[] arr, int key) {
// Initialize two pointers, lo and hi, at the start
// and end of the array
int lo = 0, hi = arr.length - 1;
while (lo <= hi) {
int mid = lo + (hi - lo) / 2;
// If key found, return the index
if (arr[mid] == key)
return mid;
// If Left half is sorted
if (arr[mid] >= arr[lo]) {
// If the key lies within this sorted half,
// move the hi pointer to mid - 1
if (key >= arr[lo] && key < arr[mid])
hi = mid - 1;
// Otherwise, move the lo pointer to mid + 1
else
lo = mid + 1;
}
// If Right half is sorted
else {
// If the key lies within this sorted half,
// move the lo pointer to mid + 1
if (key > arr[mid] && key <= arr[hi])
lo = mid + 1;
// Otherwise, move the hi pointer to mid - 1
else
hi = mid - 1;
}
}
// Key not found
return -1;
}
public static void main(String[] args) {
int[] arr1 = {5, 6, 7, 8, 9, 10, 1, 2, 3};
int key1 = 3;
System.out.println(search(arr1, key1));
}
}
Python
# Python program to search an element in sorted and rotated
# array using binary search
def search(arr, key):
# Initialize two pointers, lo and hi, at the start
# and end of the array
lo = 0
hi = len(arr) - 1
while lo <= hi:
mid = lo + (hi - lo) // 2
# If key found, return the index
if arr[mid] == key:
return mid
# If Left half is sorted
if arr[mid] >= arr[lo]:
# If the key lies within this sorted half,
# move the hi pointer to mid - 1
if key >= arr[lo] and key < arr[mid]:
hi = mid - 1
# Otherwise, move the lo pointer to mid + 1
else:
lo = mid + 1
# If Right half is sorted
else:
# If the key lies within this sorted half,
# move the lo pointer to mid + 1
if key > arr[mid] and key <= arr[hi]:
lo = mid + 1
# Otherwise, move the hi pointer to mid - 1
else:
hi = mid - 1
# Key not found
return -1
if __name__ == "__main__":
arr1 = [5, 6, 7, 8, 9, 10, 1, 2, 3]
key1 = 3
print(search(arr1, key1))
C#
// C# program to search an element in sorted and rotated
// array using binary search
using System;
class GfG {
static int search(int[] arr, int key) {
// Initialize two pointers, lo and hi, at the start
// and end of the array
int lo = 0, hi = arr.Length - 1;
while (lo <= hi) {
int mid = lo + (hi - lo) / 2;
// If key found, return the index
if (arr[mid] == key)
return mid;
// If Left half is sorted
if (arr[mid] >= arr[lo]) {
// If the key lies within this sorted half,
// move the hi pointer to mid - 1
if (key >= arr[lo] && key < arr[mid])
hi = mid - 1;
// Otherwise, move the lo pointer to mid + 1
else
lo = mid + 1;
}
// If Right half is sorted
else {
// If the key lies within this sorted half,
// move the lo pointer to mid + 1
if (key > arr[mid] && key <= arr[hi])
lo = mid + 1;
// Otherwise, move the hi pointer to mid - 1
else
hi = mid - 1;
}
}
// Key not found
return -1;
}
static void Main(string[] args) {
int[] arr1 = { 5, 6, 7, 8, 9, 10, 1, 2, 3 };
int key1 = 3;
Console.WriteLine(search(arr1, key1));
}
}
JavaScript
// JavaScript program to search an element in sorted and rotated
// array using binary search
function search(arr, key) {
// Initialize two pointers, lo and hi, at the start
// and end of the array
let lo = 0, hi = arr.length - 1;
while (lo <= hi) {
let mid = lo + Math.floor((hi - lo) / 2);
// If key found, return the index
if (arr[mid] === key)
return mid;
// If Left half is sorted
if (arr[mid] >= arr[lo]) {
// If the key lies within this sorted half,
// move the hi pointer to mid - 1
if (key >= arr[lo] && key < arr[mid])
hi = mid - 1;
// Otherwise, move the lo pointer to mid + 1
else
lo = mid + 1;
}
// If Right half is sorted
else {
// If the key lies within this sorted half,
// move the lo pointer to mid + 1
if (key > arr[mid] && key <= arr[hi])
lo = mid + 1;
// Otherwise, move the hi pointer to mid - 1
else
hi = mid - 1;
}
}
// Key not found
return -1;
}
// Driver code
let arr1 = [5, 6, 7, 8, 9, 10, 1, 2, 3];
let key1 = 3;
console.log(search(arr1, key1));
Output8
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22 Jul, 2024 | PHP Program for Search an element in a sorted and rotated array
22 Jul, 2024
An element in a sorted array can be found in O(log n) time via binary search. But suppose we rotate an ascending order sorted array at some pivot unknown to you beforehand. So for instance, 1 2 3 4 5 might become 3 4 5 1 2. Devise a way to find an element in the rotated array in O(log n) time.
Example: Input : arr[] = {5, 6, 7, 8, 9, 10, 1, 2, 3}; key = 3Output : Found at index 8Input : arr[] = {5, 6, 7, 8, 9, 10, 1, 2, 3}; key = 30Output : Not foundInput : arr[] = {30, 40, 50, 10, 20} key = 10 Output : Found at index 3All solutions provided here assume that all elements in the array are distinct.
Basic Solution: Approach: The idea is to find the pivot point, divide the array in two sub-arrays and perform binary search.The main idea for finding pivot is – for a sorted (in increasing order) and pivoted array, pivot element is the only element for which next element to it is smaller than it.Using the above statement and binary search pivot can be found.After the pivot is found out divide the array in two sub-arrays.Now the individual sub – arrays are sorted so the element can be searched using Binary Search.Implementation: Input arr[] = {3, 4, 5, 1, 2}Element to Search = 1 1) Find out pivot point and divide the array in two sub-arrays. (pivot = 2) /*Index of 5*/ 2) Now call binary search for one of the two sub-arrays. (a) If element is greater than 0th element then search in left array (b) Else Search in right array (1 will go in else as 1 < 0th element(3)) 3) If element is found in selected sub-array then return index Else return -1.Below is the implementation of the above approach:
PHP
<?php
// PHP Program to search an element
// in a sorted and pivoted array
// Standard Binary Search function
function binarySearch($arr, $low,
$high, $key)
{
if ($high < $low)
return -1;
/*low + (high - low)/2;*/
$mid = floor($low + $high) / 2;
if ($key == $arr[$mid])
return $mid;
if ($key > $arr[$mid])
return binarySearch($arr, ($mid + 1),
$high, $key);
else
return binarySearch($arr, $low,
($mid -1), $key);
}
// Function to get pivot.
// For array 3, 4, 5, 6, 1, 2
// it returns 3 (index of 6)
function findPivot($arr, $low, $high)
{
// base cases
if ($high < $low)
return -1;
if ($high == $low)
return $low;
/*low + (high - low)/2;*/
$mid = ($low + $high)/2;
if ($mid < $high and $arr[$mid] >
$arr[$mid + 1])
return $mid;
if ($mid > $low and $arr[$mid] <
$arr[$mid - 1])
return ($mid - 1);
if ($arr[$low] >= $arr[$mid])
return findPivot($arr, $low,
$mid - 1);
return findPivot($arr, $mid + 1, $high);
}
// Searches an element key
// in a pivoted sorted array
// arr[] of size n */
function pivotedBinarySearch($arr, $n, $key)
{
$pivot = findPivot($arr, 0, $n - 1);
// If we didn't find a pivot,
// then array is not rotated
// at all
if ($pivot == -1)
return binarySearch($arr, 0,
$n - 1, $key);
// If we found a pivot,
// then first compare
// with pivot and then
// search in two subarrays
// around pivot
if ($arr[$pivot] == $key)
return $pivot;
if ($arr[0] <= $key)
return binarySearch($arr, 0,
$pivot - 1, $key);
return binarySearch($arr, $pivot + 1,
$n - 1, $key);
}
// Driver Code
// Let us search 3
// in below array
$arr1 = array(5, 6, 7, 8, 9, 10, 1, 2, 3);
$n = count($arr1);
$key = 3;
// Function calling
echo "Index of the element is : ",
pivotedBinarySearch($arr1, $n, $key);
// This code is contributed by anuj_67.
?>
OutputIndex of the element is : 8Complexity Analysis: Time Complexity: O(log n). Binary Search requires log n comparisons to find the element. So time complexity is O(log n).Space Complexity:O(1), No extra space is required.Improved Solution: Approach: Instead of two or more pass of binary search the result can be found in one pass of binary search. The binary search needs to be modified to perform the search. The idea is to create a recursive function that takes l and r as range in input and the key.
1) Find middle point mid = (l + h)/22) If key is present at middle point, return mid.3) Else If arr[l..mid] is sorted a) If key to be searched lies in range from arr[l] to arr[mid], recur for arr[l..mid]. b) Else recur for arr[mid+1..h]4) Else (arr[mid+1..h] must be sorted) a) If key to be searched lies in range from arr[mid+1] to arr[h], recur for arr[mid+1..h]. b) Else recur for arr[l..mid] Below is the implementation of above idea:
PHP
<?php
// Search an element in sorted and rotated
// array using single pass of Binary Search
// Returns index of key in arr[l..h] if
// key is present, otherwise returns -1
function search($arr, $l, $h, $key)
{
if ($l > $h) return -1;
$mid = ($l + $h) / 2;
if ($arr[$mid] == $key)
return $mid;
/* If arr[l...mid] is sorted */
if ($arr[$l] <= $arr[$mid])
{
/* As this subarray is
sorted, we can quickly
check if key lies in
half or other half */
if ($key >= $arr[$l] &&
$key <= $arr[$mid])
return search($arr, $l,
$mid - 1, $key);
return search($arr, $mid + 1,
$h, $key);
}
/* If arr[l..mid] is not
sorted, then arr[mid... r]
must be sorted*/
if ($key >= $arr[$mid] &&
$key <= $arr[$h])
return search($arr, $mid + 1,
$h, $key);
return search($arr, $l,
$mid-1, $key);
}
// Driver Code
$arr = array(4, 5, 6, 7, 8, 9, 1, 2, 3);
$n = sizeof($arr);
$key = 6;
$i = search($arr, 0, $n-1, $key);
if ($i != -1)
echo "Index: ", floor($i), "
";
else
echo "Key not found";
// This code is contributed by ajit
?>
OutputIndex: 2
Complexity Analysis: Time Complexity: O(log n). Binary Search requires log n comparisons to find the element. So time complexity is O(log n).Space Complexity: O(1). As no extra space is required.Thanks to Gaurav Ahirwar for suggesting above solution.
How to handle duplicates? It doesn’t look possible to search in O(Logn) time in all cases when duplicates are allowed. For example consider searching 0 in {2, 2, 2, 2, 2, 2, 2, 2, 0, 2} and {2, 0, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2}. It doesn’t look possible to decide whether to recur for the left half or right half by doing a constant number of comparisons at the middle.
Similar Articles: Find the minimum element in a sorted and rotated arrayGiven a sorted and rotated array, find if there is a pair with a given sum.Please refer complete article on Search an element in a sorted and rotated array for more details!
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23 Mar, 2023 | Java Program To Find Longest Common Prefix Using Sorting
23 Mar, 2023
Problem Statement: Given a set of strings, find the longest common prefix.Examples:
Input: {"geeksforgeeks", "geeks", "geek", "geezer"}
Output: "gee"
Input: {"apple", "ape", "april"}
Output: "ap"
The longest common prefix for an array of strings is the common prefix between 2 most dissimilar strings. For example, in the given array {“apple”, “ape”, “zebra”}, there is no common prefix because the 2 most dissimilar strings of the array “ape” and “zebra” do not share any starting characters. We have discussed five different approaches in below posts.
Word by Word Matching
Character by Character Matching
Divide and Conquer
Binary Search.
Using Trie)
In this post a new method based on sorting is discussed. The idea is to sort the array of strings and find the common prefix of the first and last string of the sorted array.
Java
// Java program to find longest common prefix of
// given array of words.
import java.util.*;
public class GFG
{
public String longestCommonPrefix(String[] a)
{
int size = a.length;
/* if size is 0, return empty string */
if (size == 0)
return "";
if (size == 1)
return a[0];
/* sort the array of strings */
Arrays.sort(a);
/* find the minimum length from first and last string */
int end = Math.min(a[0].length(), a[size-1].length());
/* find the common prefix between the first and
last string */
int i = 0;
while (i < end && a[0].charAt(i) == a[size-1].charAt(i) )
i++;
String pre = a[0].substring(0, i);
return pre;
}
/* Driver Function to test other function */
public static void main(String[] args)
{
GFG gfg = new GFG();
String[] input = {"geeksforgeeks", "geeks", "geek", "geezer"};
System.out.println( "The longest Common Prefix is : " +
gfg.longestCommonPrefix(input));
}
}
Output
The longest Common Prefix is : gee
Time Complexity: O(MAX * n * log n ) where n is the number of strings in the array and MAX is maximum number of characters in any string. Please note that comparison of two strings would take at most O(MAX) time and for sorting n strings, we would need O(MAX * n * log n ) time.
Space Complexity: O(1) as no extra space has been used.
Please refer complete article on Longest Common Prefix using Sorting for more details!
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Date.isLeapYear() Method, jQWidgets jqxTreeMap selectionEnabled Property, jQWidgets jqxSplitter orientation Property, Search in a Sorted and Rotated Array, match_results begin() and end() function in C++ STL, unordered_multimap load_factor() function in C++ STL, multiset::emplace() in C++ STL, unordered_set equal_range in C++ STL, jQWidgets jqxSwitchButton orientation Property, SSL vs HTTPS – Which One is More Secure?, unordered_multimap equal_range() function in C++ STL, unordered_set count() function in C++ STL, PHP Program for Search an element in a sorted and rotated array, vector rbegin() and rend() Functions in C++ STL, array::cbegin() and array::cend() in C++ STL, PHP Tutorial, jQWidgets jqxTreeMap showLegend Property, jQWidgets jqxScrollView animationDuration Property, unordered_multiset end() function in C++ STL, How to Sort an Array Having Optional Properties in TypeScript ?, unordered_multimap find() function in C++ STL | GeeksforGeeks | [0.0176508892, 0.0298282448, 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25 Jul, 2022 | Find minimum shift for longest common prefix
25 Jul, 2022
Try it on GfG Practice
You are given two strings str1 and str2 of the same length. In a single shift, you can rotate one string (str2) by 1 element such that its 1st element becomes the last and the second one becomes the first like “abcd” will change to “bcda” after the one-shift operation. You have to find the minimum shift operation required to get the common prefix of maximum length from str1 and str2.
Examples:
Input : str1[] = "geeks",
str2 = "dgeek"
Output : Shift = 1,
Prefix = geek
Input : str1[] = "practicegeeks",
str2 = "coderpractice"
Output : Shift = 5
Prefix = practice
Recommended Practice
Longest common prefix
Try It!
Naive Approach: Shift second string one by one and keep track of the length of the longest prefix for each shift, there is a total of n shifts and for each shift finding the length of the common prefix will take O(n) time. Hence, the overall time complexity for this approach is O(n^2).
Better Approach: If we will add a second string at the end of itself that is str2 = str2 + str2 then there is no need of finding a prefix for each shift separately. Now, after adding str2 to itself we have to only find the longest prefix of str1 present in str2 and the starting position of that prefix in str2 will give us the actual number of shifts required. For finding the longest prefix we can use KMP pattern search algorithm.
So, in this way, our time-complexity will reduce to O(n) only.
Implementation
C++
// CPP program to find longest common prefix
// after rotation of second string.
#include <bits/stdc++.h>
using namespace std;
// function for KMP search
void KMP(int m, int n, string str2, string str1)
{
int pos = 0, len = 0;
// preprocessing of longest proper prefix
int p[m + 1];
int k = 0;
p[1] = 0;
for (int i = 2; i <= n; i++) {
while (k > 0 && str1[k] != str1[i - 1])
k = p[k];
if (str1[k] == str1[i - 1])
++k;
p[i] = k;
}
// find out the longest prefix and position
for (int j = 0, i = 0; i < m; i++) {
while (j > 0 && str1[j] != str2[i])
j = p[j];
if (str1[j] == str2[i])
j++;
// for new position with longer prefix in str2
// update pos and len
if (j > len) {
len = j;
pos = i - j + 1;
}
}
// print result
cout << "Shift = " << pos << endl;
cout << "Prefix = " << str1.substr(0, len);
}
// driver function
int main()
{
string str1 = "geeksforgeeks";
string str2 = "forgeeksgeeks";
int n = str1.size();
str2 = str2 + str2;
KMP(2 * n, n, str2, str1);
return 0;
}
Java
// Java program to find longest common prefix
// after rotation of second string.
class GFG {
// function for KMP search
static void KMP(int m, int n,
String str2, String str1)
{
int pos = 0, len = 0;
int []p = new int[m + 1];
int k = 0;
//p[1] = 0;
char []ch1 = str1.toCharArray();
char []ch2 = str2.toCharArray();
for (int i = 2; i <= n; i++)
{
while (k > 0 && ch1[k] != ch1[i - 1])
k = p[k];
if (ch1[k] == ch1[i - 1])
++k;
p[i] = k;
}
// find out the longest prefix and position
for (int j = 0, i = 0; i < m; i++)
{
while (j > 0 && j < n && ch1[j] != ch2[i])
j = p[j];
if (j < n && ch1[j] == ch2[i])
j++;
// for new position with longer prefix in str2
// update pos and len
if (j > len)
{
len = j;
pos = i - j + 1;
}
}
// print result
System.out.println("Shift = " + pos);
System.out.println("Prefix = " +
str1.substring(0,len));
}
// Driver code
public static void main(String[] args)
{
String str1 = "geeksforgeeks";
String str2 = "forgeeksgeeks";
int n = str1.length();
str2 = str2 + str2;
KMP(2 * n, n, str2, str1);
}
}
// This code is contributed by Ita_c.
Python3
# Python3 program to find longest common prefix
# after rotation of second string.
# function for KMP search
def KMP(m, n, str2, str1):
pos = 0
Len = 0
# preprocessing of longest proper prefix
p = [0 for i in range(m + 1)]
k = 0
for i in range(2, n + 1):
while (k > 0 and str1[k] != str1[i - 1]):
k = p[k]
if (str1[k] == str1[i - 1]):
k += 1
p[i] = k
# find out the longest prefix and position
j = 0
for i in range(m):
while (j > 0 and j < n and str1[j] != str2[i]):
j = p[j]
if (j < n and str1[j] == str2[i]):
j += 1
# for new position with longer prefix
# in str2 update pos and Len
if (j > Len):
Len = j
pos = i - j + 1
# print result
print("Shift = ", pos)
print("Prefix = ", str1[:Len])
# Driver Code
str1 = "geeksforgeeks"
str2 = "forgeeksgeeks"
n = len(str1)
str2 = str2 + str2
KMP(2 * n, n, str2, str1)
# This code is contributed by Mohit kumar 29
C#
// C# program to find longest common prefix
// after rotation of second string.
using System;
class GFG {
// function for KMP search
static void KMP(int m, int n,
String str2, String str1)
{
int pos = 0, len = 0;
int []p = new int[m + 1];
int k = 0;
//p[1] = 0;
char []ch1 = str1.ToCharArray();
char []ch2 = str2.ToCharArray();
for (int i = 2; i <= n; i++)
{
while (k > 0 && ch1[k] != ch1[i - 1])
k = p[k];
if (ch1[k] == ch1[i - 1])
++k;
p[i] = k;
}
// find out the longest prefix and position
for (int j = 0, i = 0; i < m; i++)
{
while (j > 0 && j < n && ch1[j] != ch2[i])
j = p[j];
if (j < n && ch1[j] == ch2[i])
j++;
// for new position with longer prefix in str2
// update pos and len
if (j > len)
{
len = j;
pos = i - j + 1;
}
}
// print result
Console.WriteLine("Shift = " + pos);
Console.WriteLine("Prefix = " +
str1.Substring(0,len));
}
// Driver code
public static void Main(String[] args)
{
String str1 = "geeksforgeeks";
String str2 = "forgeeksgeeks";
int n = str1.Length;
str2 = str2 + str2;
KMP(2 * n, n, str2, str1);
}
}
/* This code contributed by PrinciRaj1992 */
Javascript
<script>
// Javascript program to find longest common prefix
// after rotation of second string.
// function for KMP search
function KMP(m, n, str2, str1)
{
var pos = 0, len = 0;
// preprocessing of longest proper prefix
var p = Array(m+1).fill(0);
var k = 0;
p[1] = 0;
for (var i = 2; i <= n; i++) {
while (k > 0 && str1[k] != str1[i - 1])
k = p[k];
if (str1[k] == str1[i - 1])
++k;
p[i] = k;
}
// find out the longest prefix and position
for (var j = 0, i = 0; i < m; i++) {
while (j > 0 && str1[j] != str2[i])
j = p[j];
if (str1[j] == str2[i])
j++;
// for new position with longer prefix in str2
// update pos and len
if (j > len) {
len = j;
pos = i - j + 1;
}
}
// print result
document.write( "Shift = " + pos + "<br>");
document.write( "Prefix = " + str1.substr(0, len));
}
// driver function
var str1 = "geeksforgeeks";
var str2 = "forgeeksgeeks";
var n = str1.length;
str2 = str2 + str2;
KMP(2 * n, n, str2, str1);
</script>
Output:
Shift = 8
Prefix = geeksforgeeks
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14 Nov, 2024 | Longest Common Prefix using Word by Word Matching
14 Nov, 2024
Try it on GfG Practice
Given an array of strings arr[], the task is to return the longest common prefix among each and every strings present in the array. If there’s no prefix common in all the strings, return “”.
Examples:
Input: arr[] = [“geeksforgeeks”, “geeks”, “geek”, “geezer”]Output: “gee”Explanation: “gee” is the longest common prefix in all the given strings: “geeksforgeeks”, “geeks”, “geeks” and “geezer”.
Input: arr[] = [“apple”, “ape”, “april”]Output : “ap”Explanation: “ap” is the longest common prefix in all the given strings: “apple”, “ape” and “april”.
Input: arr[] = [“hello”, “world”]Output: “”Explanation: There’s no common prefix in the given strings.
Approach:
The idea is to use the fact that Longest Common Prefix holds the associative property, that is:
LCP (string1, string2, string3) = LCP (LCP (string1, string2), string3)
Example:LCP (“geeksforgeeks”, “geeks”, “geek”) = LCP (LCP (“geeksforgeeks”, “geeks”), “geek”) = LCP (“geeks”, “geek”) = “geek”
So, we can make use of the above associative property to find the LCP of the given strings. Firstly, we can initialize the first string as the LCP. Then starting from the second string, calculate the LCP of each of the given string with the LCP so far. The final result will be our longest common prefix of all the strings.Note that it is possible that the given strings have no common prefix. This happens when the first character of all the strings are not same.
C++
// C++ program to find the longest common prefix
// using Word by Word Matching
#include <iostream>
#include <vector>
using namespace std;
// Function to find the maximum length of common
// prefix between strings s1 and s2
int commonPrefixLen(string& s1, string& s2) {
int idx = 0;
int len = min(s1.length(), s2.length());
// Compare s1 and s2
while (idx < len && s1[idx] == s2[idx]) {
idx++;
}
return idx;
}
// Function that returns the longest common prefix
// from the vector of strings
string longestCommonPrefix(vector<string>& arr) {
string res = arr[0];
for (int i = 1; i < arr.size(); i++) {
int len = commonPrefixLen(res, arr[i]);
res = res.substr(0, len);
}
return res;
}
int main() {
vector<string> arr = {"geeksforgeeks", "geeks",
"geek", "geezer"};
cout << longestCommonPrefix(arr) << endl;
return 0;
}
Java
// Java program to find the longest common prefix
// using Word by Word Matching
import java.util.*;
class GfG {
// Function to find the maximum length of common
// prefix between strings s1 and s2
static int commonPrefixLen(String s1, String s2) {
int idx = 0;
int len = Math.min(s1.length(), s2.length());
// Compare s1 and s2
while (idx < len && s1.charAt(idx) == s2.charAt(idx)) {
idx++;
}
return idx;
}
// Function that returns the longest common prefix
// from the array of strings
static String longestCommonPrefix(String[] arr) {
String res = arr[0];
for (int i = 1; i < arr.length; i++) {
int len = commonPrefixLen(res, arr[i]);
res = res.substring(0, len);
}
return res;
}
public static void main(String[] args) {
String[] arr = {"geeksforgeeks", "geeks",
"geek", "geezer"};
System.out.println(longestCommonPrefix(arr));
}
}
Python
# Python program to find the longest common prefix
# using Word by Word Matching
# Function to find the maximum length of common
# prefix between strings s1 and s2
def commonPrefixLen(s1, s2):
idx = 0
minLen = min(len(s1), len(s2))
# Compare s1 and s2
while idx < minLen and s1[idx] == s2[idx]:
idx += 1
return idx
# Function that returns the longest common prefix
# from the list of strings
def longestCommonPrefix(arr):
res = arr[0]
for i in range(1, len(arr)):
minLen = commonPrefixLen(res, arr[i])
res = res[:minLen]
return res
if __name__ == "__main__":
arr = ["geeksforgeeks", "geeks", "geek", "geezer"]
print(longestCommonPrefix(arr))
C#
// C# program to find the longest common prefix
// using Word by Word Matching
using System;
class GfG {
// Function to find the maximum length of common
// prefix between strings s1 and s2
static int commonPrefixLen(string s1, string s2) {
int idx = 0;
int len = Math.Min(s1.Length, s2.Length);
// Compare s1 and s2
while (idx < len && s1[idx] == s2[idx]) {
idx++;
}
return idx;
}
// Function that returns the longest common prefix
// from the array of strings
static string longestCommonPrefix(string[] arr) {
string res = arr[0];
for (int i = 1; i < arr.Length; i++) {
int len = commonPrefixLen(res, arr[i]);
res = res.Substring(0, len);
}
return res;
}
static void Main() {
string[] arr = { "geeksforgeeks", "geeks",
"geek", "geezer" };
Console.WriteLine(longestCommonPrefix(arr));
}
}
JavaScript
// JavaScript program to find the longest common prefix
// using Word by Word Matching
// Function to find the maximum length of common
// prefix between strings s1 and s2
function commonPrefixLen(s1, s2) {
let idx = 0;
let len = Math.min(s1.length, s2.length);
// Compare s1 and s2
while (idx < len && s1[idx] === s2[idx]) {
idx++;
}
return idx;
}
// Function that returns the longest common prefix
// from the array of strings
function longestCommonPrefix(arr) {
let res = arr[0];
for (let i = 1; i < arr.length; i++) {
let len = commonPrefixLen(res, arr[i]);
res = res.substring(0, len);
}
return res;
}
// Driver code
const arr = ["geeksforgeeks", "geeks",
"geek", "geezer"];
console.log(longestCommonPrefix(arr));
Outputgee
Time Complexity : O(n*m), as we are iterating through all the strings and for each string we are iterating though each characters, where n is number of strings and m is length of the longest string.Auxiliary Space : O(m), to store the longest prefix string.
Related Articles:
Longest Common Prefix using SortingLongest Common Prefix Character by Character MatchingLongest Common Prefix Divide and ConquerLongest Common Prefix Binary SearchLongest Common Prefix Using Trie
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14 Nov, 2024 | Longest Common Prefix using Divide and Conquer Algorithm
14 Nov, 2024
Given an array of strings arr[], the task is to return the longest common prefix among each and every strings present in the array. If there’s no prefix common in all the strings, return “”.
Examples:
Input: arr[] = [“geeksforgeeks”, “geeks”, “geek”, “geezer”]Output: “gee”Explanation: “gee” is the longest common prefix in all the given strings: “geeksforgeeks”, “geeks”, “geeks” and “geezer”.
Input: arr[] = [“apple”, “ape”, “april”]Output : “ap”Explanation: “ap” is the longest common prefix in all the given strings: “apple”, “ape” and “april”.
Input: arr[] = [“hello”, “world”]Output: “”Explanation: There’s no common prefix in the given strings.
Approach
We have discussed word by word matching and character by character matching approaches. Now, we will discuss divide and conquer approach.
The idea is simple, first divide the array of strings into two equal parts. Then find the Longest Common Prefix for all strings in each part individually using recursion. Once we got the Longest Common Prefix of both parts, the Longest Common Prefix of this array will be Longest Common Prefix of these two parts.
C++
// C++ program to find the longest common prefix
// using Divide and Conquer Algorithm
#include <iostream>
#include <vector>
using namespace std;
// A Utility Function to find the common prefix between
// strings s1 and s2
string commonPrefixUtil(string &s1, string &s2) {
string res;
int n1 = s1.length(), n2 = s2.length();
for (int i = 0; i < n1 && i < n2; i++) {
if (s1[i] != s2[i])
break;
res.push_back(s1[i]);
}
return res;
}
// A Divide and Conquer based function to find the
// longest common prefix. This is similar to the
// merge sort technique
string commonPrefix(vector<string> &arr, int l, int r) {
// Base Case: common prefix for a single string is
// the string itself
if (l == r)
return arr[l];
if (l < r) {
int mid = l + (r - l) / 2;
// Find Longest Common Prefix of first part
string p1 = commonPrefix(arr, l, mid);
// Find Longest Common Prefix of second part
string p2 = commonPrefix(arr, mid + 1, r);
// Find and return the Longest Common Prefix
// of subarray arr[l ... r]
return commonPrefixUtil(p1, p2);
}
return "";
}
string longestCommonPrefix(vector<string> &arr) {
return commonPrefix(arr, 0, arr.size() - 1);
}
int main() {
vector<string> arr = {"geeksforgeeks", "geeks", "geek", "geezer"};
cout << longestCommonPrefix(arr);
return 0;
}
Java
// Java program to find the longest common prefix
// using Divide and Conquer Algorithm
import java.util.*;
class GfG {
// Utility function to find the common prefix between
// strings s1 and s2
static String commonPrefixUtil(String s1, String s2) {
StringBuilder res = new StringBuilder();
int n1 = s1.length(), n2 = s2.length();
for (int i = 0; i < n1 && i < n2; i++) {
if (s1.charAt(i) != s2.charAt(i))
break;
res.append(s1.charAt(i));
}
return res.toString();
}
// Divide and Conquer function to find the longest common prefix
// This is similar to the merge sort technique
static String commonPrefix(String[] arr, int l, int r) {
// Base Case: common prefix for a set of single string
// is string itself
if (l == r)
return arr[l];
if (l < r) {
int mid = l + (r - l) / 2;
// Find Longest Common Prefix of first part
String p1 = commonPrefix(arr, l, mid);
// Find Longest Common Prefix of second part
String p2 = commonPrefix(arr, mid + 1, r);
// Find and return the Longest Common Prefix
// of sub array arr[l ... r]
return commonPrefixUtil(p1, p2);
}
return "";
}
static String longestCommonPrefix(String[] arr) {
return commonPrefix(arr, 0, arr.length - 1);
}
public static void main(String[] args) {
String[] arr = {"geeksforgeeks", "geeks", "geek", "geezer"};
System.out.println(longestCommonPrefix(arr));
}
}
Python
# Python program to find the longest common prefix
# using Divide and Conquer Algorithm
# Utility function to find the common prefix between
# strings s1 and s2
def commonPrefixUtil(s1, s2):
res = []
n1, n2 = len(s1), len(s2)
for i in range(min(n1, n2)):
if s1[i] != s2[i]:
break
res.append(s1[i])
return ''.join(res)
# Divide and Conquer function to find the longest common prefix
# This is similar to the merge sort technique
def commonPrefix(arr, l, r):
# Base Case: common prefix for a set of single string
# is string itself
if l == r:
return arr[l]
if l < r:
mid = l + (r - l) // 2
# Find Longest Common Prefix of first part
p1 = commonPrefix(arr, l, mid)
# Find Longest Common Prefix of second part
p2 = commonPrefix(arr, mid + 1, r)
# Find and return the Longest Common Prefix
# of sub array arr[l ... r]
return commonPrefixUtil(p1, p2)
def longestCommonPrefix(arr):
return commonPrefix(arr, 0, len(arr) - 1)
if __name__ == "__main__":
arr = ["geeksforgeeks", "geeks", "geek", "geezer"]
print(longestCommonPrefix(arr))
C#
// C# program to find the longest common prefix
// using Divide and Conquer Algorithm
using System;
using System.Collections.Generic;
using System.Text;
class GfG {
// Utility function to find the common prefix between
// strings s1 and s2
static string commonPrefixUtil(string s1, string s2) {
StringBuilder res = new StringBuilder();
int n1 = s1.Length, n2 = s2.Length;
for (int i = 0; i < n1 && i < n2; i++) {
if (s1[i] != s2[i])
break;
res.Append(s1[i]);
}
return res.ToString();
}
// Divide and Conquer function to find the longest common prefix
// This is similar to the merge sort technique
static string commonPrefix(string[] arr, int l, int r) {
// Base Case: common prefix for a set of single string
// is string itself
if (l == r)
return arr[l];
if (l < r) {
int mid = l + (r - l) / 2;
// Find Longest Common Prefix of first part
string p1 = commonPrefix(arr, l, mid);
// Find Longest Common Prefix of second part
string p2 = commonPrefix(arr, mid + 1, r);
// Find and return the Longest Common Prefix
// of sub array arr[l ... r]
return commonPrefixUtil(p1, p2);
}
return "";
}
static string longestCommonPrefix(string[] arr) {
return commonPrefix(arr, 0, arr.Length - 1);
}
static void Main() {
string[] arr = {"geeksforgeeks", "geeks", "geek", "geezer"};
Console.WriteLine(longestCommonPrefix(arr));
}
}
JavaScript
// JavaScript program to find the longest common prefix
// using Divide and Conquer Algorithm
// Utility function to find the common prefix between
// strings s1 and s2
function commonPrefixUtil(s1, s2) {
let res = [];
let n1 = s1.length, n2 = s2.length;
for (let i = 0; i < n1 && i < n2; i++) {
if (s1[i] != s2[i])
break;
res.push(s1[i]);
}
return res.join("");
}
// Divide and Conquer function to find the longest common prefix
// This is similar to the merge sort technique
function commonPrefix(arr, l, r) {
// Base Case: common prefix for a set of single string
// is string itself
if (l === r)
return arr[l];
if (l < r) {
let mid = l + Math.floor((r - l) / 2);
// Find Longest Common Prefix of first part
let p1 = commonPrefix(arr, l, mid);
// Find Longest Common Prefix of second part
let p2 = commonPrefix(arr, mid + 1, r);
// Find and return the Longest Common Prefix
// of sub array arr[l ... r]
return commonPrefixUtil(p1, p2);
}
}
function longestCommonPrefix(arr) {
return commonPrefix(arr, 0, arr.length - 1);
}
// Driver Code
let arr = ["geeksforgeeks", "geeks", "geek", "geezer"];
console.log(longestCommonPrefix(arr));
OutputgeeTime Complexity: O(n*m), where n is number of strings and m is length of the longest string. In the worst case, we can have n equal strings of length m, so the recurrence relation will be T(n) = 2*T(n/2) + O(m), which can be simplified to O(n*m).Auxiliary Space: O(m), to store the longest prefix string.
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06 Mar, 2025 | Introduction to Divide and Conquer Algorithm
06 Mar, 2025
Divide and Conquer Algorithm is a problem-solving technique used to solve problems by dividing the main problem into subproblems, solving them individually and then merging them to find solution to the original problem. Divide and Conquer is mainly useful when we divide a problem into independent subproblems. If we have overlapping subproblems, then we use Dynamic Programming.
In this article, we are going to discuss how Divide and Conquer Algorithm is helpful and how we can use it to solve problems.
Working of Divide and Conquer Algorithm
Divide and Conquer Algorithm can be divided into three steps: Divide, Conquer and Merge.
The above diagram shows working with the example of Merge Sort which is used for sorting
1. Divide:
Break down the original problem into smaller subproblems.
Each subproblem should represent a part of the overall problem.
The goal is to divide the problem until no further division is possible.
In Merge Sort, we divide the input array in two halves. Please note that the divide step of Merge Sort is simple, but in Quick Sort, the divide step is critical. In Quick Sort, we partition the array around a pivot.
2. Conquer:
Solve each of the smaller subproblems individually.
If a subproblem is small enough (often referred to as the “base case”), we solve it directly without further recursion.
The goal is to find solutions for these subproblems independently.
In Merge Sort, the conquer step is to sort the two halves individually.
3. Merge:
Combine the sub-problems to get the final solution of the whole problem.
Once the smaller subproblems are solved, we recursively combine their solutions to get the solution of larger problem.
The goal is to formulate a solution for the original problem by merging the results from the subproblems.
In Merge Sort, the merge step is to merge two sorted halves to create one sorted array. Please note that the merge step of Merge Sort is critical, but in Quick Sort, the merge step does not do anything as both parts become sorted in place and the left part has all elements smaller (or equal( than the right part.
Characteristics of Divide and Conquer Algorithm
Divide and Conquer Algorithm involves breaking down a problem into smaller, more manageable parts, solving each part individually, and then combining the solutions to solve the original problem. The characteristics of Divide and Conquer Algorithm are:
Dividing the Problem: The first step is to break the problem into smaller, more manageable subproblems. This division can be done recursively until the subproblems become simple enough to solve directly.
Independence of Subproblems: Each subproblem should be independent of the others, meaning that solving one subproblem does not depend on the solution of another. This allows for parallel processing or concurrent execution of subproblems, which can lead to efficiency gains.
Conquering Each Subproblem: Once divided, the subproblems are solved individually. This may involve applying the same divide and conquer approach recursively until the subproblems become simple enough to solve directly, or it may involve applying a different algorithm or technique.
Combining Solutions: After solving the subproblems, their solutions are combined to obtain the solution to the original problem. This combination step should be relatively efficient and straightforward, as the solutions to the subproblems should be designed to fit together seamlessly.
Examples of Divide and Conquer Algorithm
1. Merge Sort:
We can use Divide and Conquer Algorithm to sort the array in ascending or descending order by dividing the array into smaller subarrays, sorting the smaller subarrays and then merging the sorted arrays to sort the original array.
Read more about Merge Sort
2. Quicksort:
It is a sorting algorithm that picks a pivot element and rearranges the array elements so that all elements smaller than the picked pivot element move to the left side of the pivot, and all greater elements move to the right side. Finally, the algorithm recursively sorts the subarrays on the left and right of the pivot element.
Read more about Quick Sort
Complexity Analysis of Divide and Conquer Algorithm
T(n) = aT(n/b) + f(n), where n = size of input a = number of subproblems in the recursion n/b = size of each subproblem. All subproblems are assumed to have the same size. f(n) = cost of the work done outside the recursive call, which includes the cost of dividing the problem and cost of merging the solutions
Applications of Divide and Conquer Algorithm
The following are some standard algorithms that follow Divide and Conquer algorithm:
Binary Search is an efficient algorithm for finding an element in a sorted array by repeatedly dividing the search interval in half. It works by comparing the target value with the middle element and narrowing the search to either the left or right half, depending on the comparison.
Quicksort is a sorting algorithm that picks a pivot element and rearranges the array elements so that all elements smaller than the picked pivot element move to the left side of the pivot, and all greater elements move to the right side. Finally, the algorithm recursively sorts the subarrays on the left and right of the pivot element.
Merge Sort is also a sorting algorithm. The algorithm divides the array into two halves, recursively sorts them, and finally merges the two sorted halves.
Closest Pair of Points The problem is to find the closest pair of points in a set of points in the x-y plane. The problem can be solved in O(n^2) time by calculating the distances of every pair of points and comparing the distances to find the minimum. The Divide and Conquer algorithm solves the problem in O(N log N) time.
Strassen’s Algorithm is an efficient algorithm to multiply two matrices. A simple method to multiply two matrices needs 3 nested loops and is O(n^3). Strassen’s algorithm multiplies two matrices in O(n^2.8974) time.
Cooley–Tukey Fast Fourier Transform (FFT) algorithm is the most common algorithm for FFT. It is a divide and conquer algorithm which works in O(N log N) time.
Karatsuba algorithm for fast multiplication does the multiplication of two binary strings in O(n1.59) where n is the length of binary string.
Advantages of Divide and Conquer Algorithm
Solving difficult problems: Divide and conquer technique is a tool for solving difficult problems conceptually. e.g. Tower of Hanoi puzzle. It requires a way of breaking the problem into sub-problems, and solving all of them as an individual cases and then combining sub- problems to the original problem.
Algorithm efficiency: The divide-and-conquer algorithm often helps in the discovery of efficient algorithms. It is the key to algorithms like Quick Sort and Merge Sort, and fast Fourier transforms.
Parallelism: Normally Divide and Conquer algorithms are used in multi-processor machines having shared-memory systems where the communication of data between processors does not need to be planned in advance, because distinct sub-problems can be executed on different processors.
Memory access: These algorithms naturally make an efficient use of memory caches. Since the subproblems are small enough to be solved in cache without using the main memory that is slower one. Any algorithm that uses cache efficiently is called cache oblivious.
Disadvantages of Divide and Conquer Algorithm
Overhead: The process of dividing the problem into subproblems and then combining the solutions can require additional time and resources. This overhead can be significant for problems that are already relatively small or that have a simple solution.
Complexity: Dividing a problem into smaller subproblems can increase the complexity of the overall solution. This is particularly true when the subproblems are interdependent and must be solved in a specific order.
Difficulty of implementation: Some problems are difficult to divide into smaller subproblems or require a complex algorithm to do so. In these cases, it can be challenging to implement a divide and conquer solution.
Memory limitations: When working with large data sets, the memory requirements for storing the intermediate results of the subproblems can become a limiting factor.
Frequently Asked Questions (FAQs) on Divide and Conquer Algorithm
1. What is the Divide and Conquer algorithm?
Divide and Conquer is a problem-solving technique where a problem is divided into smaller, more manageable subproblems. These subproblems are solved recursively, and then their solutions are combined to solve the original problem.
2. What are the key steps involved in the Divide and Conquer algorithm?
The main steps are:
Divide: Break the problem into smaller subproblems.
Conquer: Solve the subproblems recursively.
Combine: Merge or combine the solutions of the subproblems to obtain the solution to the original problem.
3. What are some examples of problems solved using Divide and Conquer?
Divide and Conquer Algorithm is used in sorting algorithms like Merge Sort and Quick Sort, finding closest pair of points, Strassen’s Algorithm, etc.
4. How does Merge Sort use the Divide and Conquer approach?
Merge Sort divides the array into two halves, recursively sorts each half, and then merges the sorted halves to produce the final sorted array.
5. What is the time complexity of Divide and Conquer algorithms?
The time complexity varies depending on the specific problem and how it’s implemented. Generally, many Divide and Conquer algorithms have a time complexity of O(n log n) or better.
6. Can Divide and Conquer algorithms be parallelized?
Yes, Divide and Conquer algorithms are often naturally parallelizable because independent subproblems can be solved concurrently. This makes them suitable for parallel computing environments.
7. What are some strategies for choosing the base case in Divide and Conquer algorithms?
The base case should be simple enough to solve directly, without further division. It’s often chosen based on the smallest input size where the problem can be solved trivially.
8. Are there any drawbacks or limitations to using Divide and Conquer?
While Divide and Conquer can lead to efficient solutions for many problems, it may not be suitable for all problem types. Overhead from recursion and combining solutions can also be a concern for very large problem sizes.
9. How do you analyze the space complexity of Divide and Conquer algorithms?
Space complexity depends on factors like the recursion depth and auxiliary space required for combining solutions. Analyzing space complexity typically involves considering the space used by each recursive call.
10. What are some common advantages of Divide and Conquer Algorithm?
Divide and Conquer Algorithm has numerous advantages. Some of them include:
Solving difficult problems
Algorithm efficiency
Parallelism
Memory access
Divide and Conquer is a popular algorithmic technique in computer science that involves breaking down a problem into smaller sub-problems, solving each sub-problem independently, and then combining the solutions to the sub-problems to solve the original problem. The basic idea behind this technique is to divide a problem into smaller, more manageable sub-problems that can be solved more easily.
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15 Nov, 2024 | Divide and Conquer Algorithm
15 Nov, 2024
Divide and Conquer algorithm is a problem-solving strategy that involves. Divide : Break the given problem into smaller non-overlapping problems.Conquer : Solve Smaller ProblemsCombine : Use the Solutions of Smaller Problems to find the overall result.Examples of Divide and Conquer are Merge Sort, Quick Sort, Binary Search and Closest Pair of Points.Basics of Divide and Conquer Algorithm:Introduction to Divide and ConquerDynamic Programming vs Divide-and-ConquerDecrease and ConquerAdvanced master theorem for divide and conquer recurrencesStandard Algorithms on Divide and Conquer Algorithm:Binary SearchMerge SortQuick SortCalculate pow(x, n)Karatsuba algorithm for fast multiplicationStrassen’s Matrix MultiplicationConvex Hull (Simple Divide and Conquer Algorithm)Quickhull Algorithm for Convex HullPractice problems on Divide and Conquer Algorithm:Square root of an integerMaximum and minimum of an array using minimum number of comparisonsFind frequency of each element in a limited range array in less than O(n) timeTiling ProblemCount InversionsThe Skyline ProblemSearch in a Row-wise and Column-wise Sorted 2D ArrayAllocate minimum number of pagesModular Exponentiation (Power in Modular Arithmetic)Problems Based on Standard Divide and Conquer AlgorithmsBinary Search Based ProblemsMerge Sort Based ProblemsQuick Sort Based Problems Quick Links :Learn Data Structure and Algorithms | DSA Tutorial‘Practice Problems’ on Divide and Conquer‘Quizzes’ on Divide and Conquer
Master Data Structures and Algorithms at your own pace with our DSA Self-Paced course. In just 90 days, you’ll cover core concepts, solve real-world problems, and sharpen your problem-solving skills. Take the Three 90 Challenge: complete 90% of the course in 90 days and get a 90% refund. Stay motivated, track progress, and achieve DSA mastery. 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27 Jan, 2025 | Propositional Logic
27 Jan, 2025
Logic is the basis of all mathematical reasoning and all automated reasoning. The rules of logic specify the meaning of mathematical statements. These rules help us understand and reason with statements such as –
[Tex]\exists~x~such~that~x~\neq~a^2~+~b^2,~where~\:x,~a,~b\in~Z[/Tex]Which in Simple English means “There exists an integer that is not the sum of two squares“.
Importance of Mathematical LogicThe rules of logic give precise meaning to mathematical statements. These rules are used to distinguish between valid and invalid mathematical arguments. Apart from its importance in understanding mathematical reasoning, logic has numerous applications in Computer Science, varying from the design of digital circuits to the construction of computer programs and verification of the correctness of programs.
Table of Content
Types of PropositionsPropositional LogicTruth Table of Propositional LogicPropositional Logic ExamplesTypes of PropositionsIn propositional logic, propositions are statements that can be evaluated as true or false. They are the building blocks of more complex logical statements. Here’s a breakdown of the two main types of propositions:
Atomic PropositionsCompound PropositionsPropositional LogicPropositional logic is a branch of mathematics that studies the logical relationships between propositions (or statements, sentences, assertions) taken as a whole, and connected via logical connectives.
For Example,
The sun rises in the East and sets in the West.1 + 1 = 2‘b’ is a vowel.Above 3 sentences are propositions, where the first two are Valid(True) and the third one is Invalid(False).
All of the above sentences are propositions, where the first two are Valid(True) and the third one is Invalid(False). Some sentences that do not have a truth value or may have more than one truth value are not propositions. For Example,
What time is it?Go out and Playx + 1 = 2The above sentences are not propositions as the first two do not have a truth value, and the third one may be true or false. To represent propositions, propositional variables are used. By Convention, these variables are represented by small alphabets such as [Tex]p,\:q,\:r,\:s [/Tex]. The area of logic which deals with propositions is called propositional calculus or propositional logic. It also includes producing new propositions using existing ones. Propositions constructed using one or more propositions are called compound propositions. The propositions are combined together using Logical Connectives or Logical Operators.
Propositional LogicTruth Table of Propositional LogicSince we need to know the truth value of a proposition in all possible scenarios, we consider all the possible combinations of the propositions which are joined together by Logical Connectives to form the given compound proposition. This compilation of all possible scenarios in a tabular format is called a truth table. Most Common Logical Connectives-
1. NegationIf [Tex]p [/Tex]is a proposition, then the negation of [Tex]p [/Tex]is denoted by [Tex]\neg p [/Tex], which when translated to simple English means- “It is not the case that p” or simply “not p“. The truth value of -p is the opposite of the truth value of p. The truth table of -p is:
p¬pTFFTExample, Negation of “It is raining today”, is “It is not the case that is raining today” or simply “It is not raining today”.
2. ConjunctionFor any two propositions [Tex]p [/Tex]and [Tex]q [/Tex], their conjunction is denoted by [Tex]p\wedge q [/Tex], which means “[Tex]p [/Tex]and [Tex]q [/Tex]“. The conjunction [Tex]p\wedge q [/Tex]is True when both [Tex]p [/Tex]and [Tex]q [/Tex]are True, otherwise False. The truth table of [Tex]p\wedge q [/Tex]is:
pqp ∧ qTTTTFFFTFFFFExample, Conjunction of the propositions [Tex]p [/Tex]– “Today is Friday” and [Tex]q [/Tex]– “It is raining today”, [Tex]p\wedge q [/Tex]is “Today is Friday and it is raining today”. This proposition is true only on rainy Fridays and is false on any other rainy day or on Fridays when it does not rain.
3. DisjunctionFor any two propositions [Tex]p [/Tex]and [Tex]q [/Tex], their disjunction is denoted by [Tex]p\vee q [/Tex], which means “[Tex]p [/Tex]or [Tex]q [/Tex]“. The disjunction [Tex]p\vee q [/Tex]is True when either [Tex]p [/Tex]or [Tex]q [/Tex]is True, otherwise False. The truth table of [Tex]p\vee q [/Tex]is:
pqp ∨ qTTTTFTFTTFFFExample, Disjunction of the propositions [Tex]p [/Tex]– “Today is Friday” and [Tex]q [/Tex]– “It is raining today”, [Tex]p\vee q [/Tex]is “Today is Friday or it is raining today”. This proposition is true on any day that is a Friday or a rainy day(including rainy Fridays) and is false on any day other than Friday when it also does not rain.
4. Exclusive OrFor any two propositions [Tex]p [/Tex]and [Tex]q [/Tex], their exclusive or is denoted by [Tex]p\oplus q [/Tex], which means “either [Tex]p [/Tex]or [Tex]q [/Tex]but not both”. The exclusive or [Tex]p\oplus q [/Tex]is True when either [Tex]p [/Tex]or [Tex]q [/Tex]is True, and False when both are true or both are false. The truth table of [Tex]p\oplus q [/Tex]is:
pqp ⊕ qTTFTFTFTTFFFExample, Exclusive or of the propositions [Tex]p [/Tex]– “Today is Friday” and [Tex]q [/Tex]– “It is raining today”, [Tex]p\oplus q [/Tex]is “Either today is Friday or it is raining today, but not both”. This proposition is true on any day that is a Friday or a rainy day(not including rainy Fridays) and is false on any day other than Friday when it does not rain or rainy Fridays.
5. ImplicationFor any two propositions [Tex]p [/Tex]and [Tex]q [/Tex], the statement “if [Tex]p [/Tex]then [Tex]q [/Tex]” is called an implication and it is denoted by [Tex]p\rightarrow q [/Tex]. In the implication [Tex]p\rightarrow q [/Tex], [Tex]p [/Tex]is called the hypothesis or antecedent or premise and [Tex]q [/Tex]is called the conclusion or consequence. The implication is [Tex]p\rightarrow q [/Tex]is also called a conditional statement. The implication is false when [Tex]p [/Tex]is true and [Tex]q [/Tex]is false otherwise it is true. The truth table of [Tex]p\rightarrow q [/Tex]is:
pqp → qTTTTFFFTTFFTOne might wonder that why is [Tex]p\rightarrow q [/Tex]true when [Tex]p [/Tex]is false. This is because the implication guarantees that when [Tex]p [/Tex]and [Tex]q [/Tex]are true then the implication is true. But the implication does not guarantee anything when the premise [Tex]p [/Tex]is false. There is no way of knowing whether or not the implication is false since [Tex]p [/Tex]did not happen. This situation is similar to the “Innocent until proven Guilty” stance, which means that the implication [Tex]p\rightarrow q [/Tex]is considered true until proven false. Since we cannot call the implication [Tex]p\rightarrow q [/Tex]false when [Tex]p [/Tex]is false, our only alternative is to call it true.
This follows from the Explosion Principle which says: “A False statement implies anything” Conditional statements play a very important role in mathematical reasoning, thus a variety of terminology is used to express [Tex]p\rightarrow q [/Tex], some of which are listed below.
“If p, then “q”p is sufficient for q””q when p””a necessary condition for p is q””p only if q””q unless ≠p””q follows from p”
Example, “If it is Friday then it is raining today” is a proposition which is of the form [Tex]p\rightarrow q [/Tex]. The above proposition is true if it is not Friday(premise is false) or if it is Friday and it is raining, and it is false when it is Friday but it is not raining.
6. Biconditional or Double ImplicationFor any two propositions [Tex]p [/Tex]and [Tex]q [/Tex], the statement “[Tex]p [/Tex]if and only if(iff) [Tex]q [/Tex]” is called a biconditional and it is denoted by [Tex]p\leftrightarrow q [/Tex]. The statement [Tex]p\leftrightarrow q [/Tex]is also called a bi-implication. [Tex]p\leftrightarrow q [/Tex]has the same truth value as [Tex](p\rightarrow q) \wedge (q\rightarrow p) [/Tex]The implication is true when [Tex]p [/Tex]and [Tex]q [/Tex]have same truth values, and is false otherwise. The truth table of [Tex]p\leftrightarrow q [/Tex]is:
pqp ↔ qTTTTFFFTFFFTSome other common ways of expressing [Tex]p\leftrightarrow q [/Tex]are:
“p is necessary and sufficient for q””if p then q, and conversely””p if q”
Example, “It is raining today if and only if it is Friday today.” is a proposition which is of the form [Tex]p\leftrightarrow q [/Tex]. The above proposition is true if it is not Friday and it is not raining or if it is Friday and it is raining, and it is false when it is not Friday or it is not raining.
Propositional Logic Examples1) Consider the following statements:
P: Good mobile phones are not cheap.Q: Cheap mobile phones are not good.L: P implies QM: Q implies PN: P is equivalent to QWhich one of the following about L, M, and N is CORRECT?
(A) Only L is TRUE.
(B) Only M is TRUE.
(C) Only N is TRUE.
(D) L, M and N are TRUE.
Solution:
Let a and b be two propositiona: Good Mobile phones.b: Cheap Mobile Phones.P and Q can be written in logic asP: a–>~bQ: b–>~a.Truth Tablea b ~a ~b P QT T F F F FT F F T T TF T T F T TF F T T T Tit clearly shows P and Q are equivalent.so option D is Correct
2) Which one of the following is not equivalent to p <-> q
[Tex](A)(\neg p \vee q)\wedge(p \vee \neg q ) (B)(\neg p \vee q)\wedge(q \rightarrow p ) (C)(\neg p \wedge q)\vee(p \wedge \neg q ) (D)(\neg p \wedge \neg q)\vee(p \wedge q ) [/Tex]
Conjunction of p and q, denoted by p∧q, is the proposition ‘p and q’. The conjunction p ∧ q is True, when both p and q is True. Disjunction of p and q, denoted by p∨q, is the proposition ‘p or q’. The disjunction p∨q is False when both p and q is False.
Logical Implication – It is a type of relationship between two statements or sentence. Denoted by ‘p → q’. The conditional statement p → q is false when p is true and q is false, and true otherwise. i.e. p → q = ¬p ∨ q
Bi-Condition A bi-conditional statement is a compound statement formed by combining two conditionals under “and.” Bi-conditionals are true when both statements have the exact same truth value.
Solution:
p↔q means both p→q and q→p p→q is equivalent to ⌉p ∨ q and q is equivalent to ⌉q ∨ p So A and B are fine. D is a different way of writing A p ↔ q = (p→ q) ∧ (q→p) = (⌉p ∨ q) ∧ (q → p) [ Since p→ q = ⌉p ∨ q ] = (⌉p ∨ q) ∧ (⌉q ∨ p) = (¬p ∧ p )∨ (¬p ∧¬q )∨ (q ∧p ) ∨(q ∧¬q ) (Distributive law) [As ((¬p∧ p )=0,(q ∧¬q )=0) (Complementation) ] (⌉p ∧ ⌉q) ∨ (p ∧ q) which is Option (D) Only option which is not equivalent to p↔q is option (C). So, option (C) is correct.
ConclusionPropositional logic is a fundamental branch of mathematical logic that deals with propositions (statements that are either true or false) and their relationships. It uses logical connectives such as AND (∧), OR (∨), NOT (¬), IMPLIES (→), and IF AND ONLY IF (↔) to form compound propositions. The truth or falsity of these compound propositions can be determined using truth tables. Propositional logic provides a foundation for more complex logical systems and is essential in various fields, including computer science, mathematics, and philosophy.
FAQs on Propositional LogicWhat is a proposition in logic?A proposition is a declarative statement that is either true or false, but not both.
What are the basic logical connectives in propositional logic?The basic logical connectives are AND (∧), OR (∨), NOT (¬), IMPLIES (→), and IF AND ONLY IF (↔).
What is a tautology?A tautology is a compound proposition that is always true, regardless of the truth values of its component propositions.
What is the difference between inclusive OR and exclusive OR?Inclusive OR (∨) is true when at least one of the propositions is true, while exclusive OR (XOR) is true when exactly one of the propositions is true, but not both.
What is the law of contraposition?The law of contraposition states that (P → Q) is logically equivalent to (¬Q → ¬P).
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C++ STL/multiset begin() and end() function in C++ STL/match_results begin() and end() function in C++ STL/match_results prefix() and suffix() in C++/C++ Program to Implement Suffix Array/C/C++ program to implement the cricket game/C++ Program to Implement Circular Queue/C++ Program to Check if a string can be formed from another string by at most X circular clockwise shifts/Find array sum using Bitwise OR after splitting given array in two halves after K circular shifts/Check if a string can be formed from another string by at most X circular clockwise shifts/Cyclic shifts of integer N by another integer m/Python3 Program to Find array sum using Bitwise OR after splitting given array in two halves after K circular shifts/Java Program for Check if a string can be formed from another string by at most X circular clockwise shifts/Java Program to Find array sum using Bitwise OR after splitting given array in two halves after K circular shifts/Java Program for Given a sorted and rotated 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06 Jan, 2025 | Digital Logic and Design – GATE CSE Previous Year Questions
06 Jan, 2025
In this article, we are mainly focusing on the Digital Logic & Design GATE Questions that have been asked in Previous Years, with their solutions. And where an explanation is required, we have also provided the reason.
Topic-Wise Quizzes to Practice Previous Year’s Questions
Logic functions and Minimization
Combinational Circuits
Sequential circuits
Number Representation
Below mentioned are the links to the Digital Logic & Design PYQ’s pages. On each page, you will get the questions asked in DLD along with the years asked.
GATE DLD Previous Year Questions
Digital Logic & Number Representation
GATE CSE Previous Year Question Papers
These previous year’s questions help you understand the question patterns followed by GATE that directly help a candidate in scoring good marks in GATE. Below is the links to year-wise GATE Previous Question Papers.
GATE CSE Previous Year Question Papers
These GATE CSE question papers span over 15 years, along with their official answer keys. We’ve also provided Quiz tests to help you practice key topics, improve speed, track your progress, and build confidence for the GATE exam 2025.
These previous year’s questions help you in understanding the question patterns followed by GATE that directly help a candidate in scoring good marks in GATE.
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06 Jan, 2025 | Computer Networks – GATE CSE Previous Year Questions
06 Jan, 2025
In this article, we are mainly focusing on the Computer Networks GATE Questions that are asked in Previous Years with their solutions, and where an explanation is required, we have also provided the reason.
Topic Wise Quizzes to Practice Previous Year Questions
Data Link Layer
Network Layer
IP Addressing
Transport Layer
Application Layer
Network Security
Misc Computer Network Topics
Below mentioned are the links to the Computer Networks PYQ’s pages. On each page, you will get the questions asked in CN along with the years asked.
GATE CN Previous Year Questions
Computer Networks | Set 1, 2
Computer Networks | Set 3
Computer Networks | Set 4
Computer Networks | Set 5
Computer Networks | Set 6
Computer Networks | Set 7
Computer Networks | Set 8
Computer Networks | Set 9
Computer Networks | Set 10
GATE CSE Previous Year Question Papers
These previous year’s questions help you understand the question patterns followed by GATE that directly help a candidate in scoring good marks in GATE. Below is the links to year-wise GATE Previous Question Papers.
GATE CSE Previous Year Question Papers
These GATE CSE question papers span over 15 years, along with their official answer keys. We’ve also provided Quiz tests to help you practice key topics, improve speed, track your progress, and build confidence for the GATE exam 2025.
These previous year’s questions help you in understanding the question patterns followed by GATE that directly help a candidate in scoring good marks in GATE.
Dreaming of M.Tech in IIT? Get AIR under 100 with our GATE 2026 CSE & DA courses! Get flexible weekday/weekend options, live mentorship, and mock tests. 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Property/jQWidgets jqxButtonGroup enableHover Property/jQWidgets jqxListBox enableHover Property/jQWidgets jqxTabs enabledHover Property/jQWidgets jqxTabs position Property/jQWidgets jqxTabs keyboardNavigation Property/jQWidgets jqxTabs contentTransitionDuration Property/jQWidgets jqxTabs disabled Property/jQWidgets jqxSortable disabled Property/jQWidgets jqxSortable opacity Property/jQWidgets jqxTooltip opacity Property/jQWidgets jqxTooltip height Property/jQWidgets jqxToolBar height Property/jQWidgets jqxToolBar close Event/jQWidgets jqxToolBar tools Property/jQWidgets jqxToolBar theme Property/jQWidgets jqxToolBar rtl Property/jQWidgets jqxScrollBar rtl Property/jQWidgets jqxScrollBar step Property/jQWidgets jqxScrollBar theme Property/jQWidgets jqxScrollBar showButtons Property/jQWidgets jqxScrollBar disabled Property/jQWidgets jqxScrollView disabled Property/jQWidgets jqxScrollView slideDuration Property/jQWidgets jqxScrollView showButtons Property/jQWidgets jqxScrollView moveThreshold Property/jQWidgets jqxScrollView refresh() Method/jQWidgets jqxScrollView animationDuration Property/jQWidgets jqxScrollView buttonsOffset Property/jQWidgets jqxSlider buttonsPosition Property/jQWidgets jqxSlider rtl Property/jQWidgets jqxSlider height Property/jQWidgets jqxSplitter height Property/jQWidgets jqxSplitter destroy() Method/jQWidgets jqxSplitter width Property/jQWidgets jqxSplitter orientation Property/jQWidgets jqxSwitchButton orientation Property/jQWidgets jqxSwitchButton enable() Method/jQWidgets jqxSwitchButton onLabel Property/How to declare a module in TypeScript ?/How to Declare Optional Properties in TypeScript ?/TypeScript Optional Parameters/How to Make a Single Property Optional in TypeScript ?/How to Sort an Array Having Optional Properties in TypeScript ?/How to use Optional Chaining with Arrays and Functions in TypeScript ?/Optional Property Class in TypeScript/Introduction to TypeScript/Difference between Flow and TypeScript/Difference Between Flow Control and Error Control/What are Issues in Flow Control Related to LANs?/Design Issues in Network Layer/Difference Between Secure Socket Layer (SSL) and Transport Layer Security (TLS)/SSL vs HTTPS – Which One is More Secure?/What is SSL/TLS Handshake?/Impact of Three-way Handshake and Slow Start Algorithm/Steps to Diagnose and Resolve a Slow Network/Differences between Wireless Adhoc Network and Wireless Sensor Network/Adhoc TCP/Calculation of TCP Checksum/Algorithm for Dynamic Time out timer Calculation/Difference between Round trip time (RTT) and Time to live (TTL)/Difference between Multi Level Queue (MLQ) Scheduling and Round Robin (RR) algorithms/Difference between First Come First Served (FCFS) and Round Robin (RR) Scheduling Algorithm/Round Robin Scheduling Algorithm with Different Arrival Time/Selfish Round Robin CPU Scheduling/Find the order of execution of given N processes in Round Robin Scheduling/Calculate server loads using Round Robin Scheduling/set::lower_bound() Function in C++ STL/Implementation of lower_bound() and upper_bound() in List of Pairs in C++/Difference between std::set::lower_bound and std::lower_bound in C++/Difference between std::set vs std::vector in C++ STL/std::minmax() and std::minmax_element() in C++ STL/std::rotate vs std::rotate_copy in C++ STL/std::bitset::to_ullong and std::bitset::to_ulong in C++ STL/std::upper_bound and std::lower_bound for Vector in C++ STL/std::fixed, std::scientific, std::hexfloat, std::defaultfloat in C++/std::string::append vs std::string::push_back() vs Operator += in C++/Vector push_back() in C++ STL/vector :: cbegin() and vector :: cend() in C++ STL/unordered_multiset cend() function in C++ STL/unordered_multiset bucket() function in C++ STL/unordered_multiset emplace_hint() function in C++ STL/unordered_multiset end() function in C++ STL/unordered_multiset size() in C++ STL/unordered_multiset emplace() function in C++ STL/unordered_multiset find() function in C++STL/unordered_multiset erase() function in C++ STL/unordered_multiset clear() function in C++ STL/unordered_multiset swap() function in C++ STL/unordered_multiset bucket_size() function in C++ STL/unordered_multiset bucket_count() function in C++ STL/unordered_set bucket_count() function in C++ STL/unordered_set cbegin() function in C++ STL/array::cbegin() and array::cend() in C++ STL/array::rbegin() and array::rend() in C++ STL/multimap rbegin in C++ STL/vector rbegin() and rend() Functions in C++ STL/multiset rbegin() and rend() function in C++ STL/map rbegin() function in C++ STL/map upper_bound() function in C++ STL/Set upper_bound() in C++ STL/multimap upper_bound() function in C++ STL/multimap empty() function in C++ STL/multimap value_comp() function in C++ STL/multimap swap() function in C++ STL/multimap::swap() in C++ STL/multimap equal_range() in C++ STL/unordered_set equal_range in C++ STL/set vs unordered_set in C++ STL/unordered_set count() function in C++ STL/unordered_set bucket() function in 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max_size() in C++ STL with Examples/unordered_multimap max_size() function in C++ STL/unordered_multimap bucket() function in C++ STL/unordered_multimap rehash() function in C++ STL/unordered_multiset rehash() function in C++ STL/unordered_multiset key_eq() function in C++ STL/unordered_map key_eq() function in C++ STL/unordered_map max_bucket_count in C++ STL/unordered_map end( ) function in C++ STL/unordered_map emplace_hint() function in C++ STL/unordered_set emplace_hint() function in C++ STL/unordered_set swap() function in C++ STL/unordered_set begin() function in C++ STL/unordered_set end() in C++ STL/unordered_set cend() function in C++ STL/unordered_map cend in C++ STL/list cbegin() and cend() function in C++ STL/list crbegin() and crend() function in C++ STL/deque crend in C++ STL/multimap::crbegin() and multimap::crend() in C++ STL/deque crbegin in C++ STL/deque cbegin() in C++ STL/deque::emplace_front() and deque::emplace_back() in C++ STL/deque::begin() and deque::end in C++ STL/multiset begin() and end() function in C++ STL/match_results begin() and end() function in C++ STL/match_results prefix() and suffix() in C++/C++ Program to Implement Suffix Array/C/C++ program to implement the cricket game/C++ Program to Implement Circular Queue/C++ Program to Check if a string can be formed from another string by at most X circular clockwise shifts/Find array sum using Bitwise OR after splitting given array in two halves after K circular shifts/Check if a string can be formed from another string by at most X circular clockwise shifts/Cyclic shifts of integer N by another integer m/Python3 Program to Find array sum using Bitwise OR after splitting given array in two halves after K circular shifts/Java Program for Check if a string can be formed from another string by at most X circular clockwise shifts/Java Program to Find array sum using Bitwise OR after splitting given array in two halves after K circular shifts/Java Program for Given a sorted and rotated array, find if there is a pair with a given sum/C# Program for Search an element in a sorted and rotated array/Search in a Sorted and Rotated Array/PHP Program for Search an element in a sorted and rotated array/Check if an array is sorted and rotated using Binary Search/Longest Common Prefix using Binary Search/Java Program To Find Longest Common Prefix Using Sorting/Find minimum shift for longest common prefix/Longest Common Prefix using Word by Word Matching/Longest Common Prefix using Divide and Conquer Algorithm/Introduction to Divide and Conquer Algorithm/Divide and Conquer Algorithm////////////////////////////////////////////////////////////////////////////////////////////////////////////Propositional Logic/Digital Logic and Design – GATE CSE Previous Year Questions/Database Management System – GATE CSE Previous Year Questions/Computer Networks – GATE CSE Previous Year Questions | https://www.geeksforgeeks.org/computer-networks-gate-questions?ref=asr10 | PHP | Computer Networks – GATE CSE Previous Year Questions | , unordered_multiset clear() function in C++ STL, What is SSL, Optional Property Class in TypeScript, jQWidgets jqxScrollBar step Property, unordered_map max_size in C++ STL, jQWidgets jqxTreeMap width Property, Round Robin Scheduling Algorithm with Different Arrival Time, Difference between Flow and TypeScript, set::begin() and set::end() in C++ STL, unordered_multiset emplace() function in C++ STL, jQWidgets jqxTree destroy() Method, Check if a string can be formed from another string by at most X circular clockwise shifts, unordered_set bucket_count() function in C++ STL, unordered_map load_factor in C++ STL, jQWidgets jqxTree collapseAll() Method, Find the order of execution of given N processes in Round Robin Scheduling, jQWidgets jqxScrollView buttonsOffset Property, Introduction to Divide and Conquer Algorithm, jQWidgets jqxScrollView moveThreshold Property, jQWidgets jqxScrollView refresh() Method, Vector push_back() in C++ STL, jQWidgets jqxListBox enableHover Property, unordered_multimap rehash() function in C++ STL, Difference between First Come First Served (FCFS) and Round Robin (RR) Scheduling Algorithm, std::rotate vs std::rotate_copy in C++ STL, Selfish Round Robin CPU Scheduling, unordered_map key_eq() function in C++ STL, Java Program to Find array sum using Bitwise OR after splitting given array in two halves after K circular shifts, jQWidgets jqxToolBar close Event, jQWidgets jqxTreeMap theme Property, How to convert UTC date time into local date time using JavaScript ?, deque crend in C++ STL, jQWidgets jqxTree ensureVisible() Method, unordered_set cend() function in C++ STL, jQWidgets jqxSlider buttonsPosition Property, std::fixed, std::scientific, std::hexfloat, std::defaultfloat in C++, std::upper_bound and std::lower_bound for Vector in C++ STL, unordered_multiset rehash() function in C++ STL, Difference between Round trip time (RTT) and Time to live (TTL), jQWidgets jqxSlider rtl Property, Difference between std::set::lower_bound and std::lower_bound in C++, unordered_multiset key_eq() function in C++ STL, jQWidgets jqxTooltip opacity Property, list max_size() function in C++ STL, jQWidgets jqxScrollBar disabled Property, jQWidgets jqxComboBox checkAll() Method, unordered_multiset erase() function in C++ STL, multiset find() function in C++ STL, set vs unordered_set in C++ STL, unordered_set end() in C++ STL, multiset max_size() in C++ STL with Examples, jQWidgets jqxToolBar height Property, PHP, std::minmax() and std::minmax_element() in C++ STL, Node.js Stream transform.destroy() Method, What are Issues in Flow Control Related to LANs?, jQWidgets jqxTree checkAll() Method, jQWidgets jqxTooltip height Property, Computer Networks – GATE CSE Previous Year Questions, unordered_set emplace() function in C++ STL, unordered_set swap() function in C++ STL, unordered_multimap empty() function in C++ STL, unordered_set bucket() function in C++ STL, map rbegin() function in C++ STL, jQWidgets jqxTree enableHover Property, jQWidgets jqxButtonGroup enableHover Property, Java Program To Find Longest Common Prefix Using Sorting, map upper_bound() function in C++ STL, Propositional Logic, Node.js date-and-time Date.transform() Method, unordered_multiset size() in C++ STL, TypeScript Optional Parameters, Java Program for Check if a string can be formed from another string by at most X circular clockwise shifts, jQWidgets jqxToolBar theme Property, Difference between std::set vs std::vector in C++ STL, jQWidgets jqxTabs enabledHover Property, jQWidgets jqxScrollBar theme Property, Longest Common Prefix using Word by Word Matching, C# Program for Search an element in a sorted and rotated array, Steps to Diagnose and Resolve a Slow Network, unordered_map end( ) function in C++ STL, How to use Optional Chaining with Arrays and Functions in TypeScript ?, C++ Program to Check if a string can be formed from another string by at most X circular clockwise shifts, Calculate 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Property, Calculation of TCP Checksum, unordered_multimap begin() and end() function in C++ STL, std::bitset::to_ullong and std::bitset::to_ulong in C++ STL, unordered_multiset emplace_hint() function in C++ STL, multimap::begin() and multimap::end() in C++ STL, unordered_set emplace_hint() function in C++ STL, forward_list max_size() in C++ STL with Examples, unordered_multimap max_size() function in C++ STL, unordered_multiset bucket_count() function in C++ STL, deque crbegin in C++ STL, unordered_multiset find() function in C++STL, unordered_multimap bucket_count() function in C++ STL, unordered_multiset bucket() function in C++ STL, Impact of Three-way Handshake and Slow Start Algorithm, array::rbegin() and array::rend() in C++ STL, multimap value_comp() function in C++ STL, C++ Program to Implement Suffix Array, How to declare a module in TypeScript ?, Node.js date-and-time Date.isLeapYear() Method, jQWidgets jqxTreeMap selectionEnabled Property, jQWidgets jqxSplitter orientation Property, Search in a Sorted and Rotated Array, match_results begin() and end() function in C++ STL, unordered_multimap load_factor() function in C++ STL, multiset::emplace() in C++ STL, Divide and Conquer Algorithm, unordered_set equal_range in C++ STL, jQWidgets jqxSwitchButton orientation Property, SSL vs HTTPS – Which One is More Secure?, unordered_multimap equal_range() function in C++ STL, Database Management System – GATE CSE Previous Year Questions, unordered_set count() function in C++ STL, PHP Program for Search an element in a sorted and rotated array, vector rbegin() and rend() Functions in C++ STL, array::cbegin() and array::cend() in C++ STL, PHP Tutorial, jQWidgets jqxTreeMap showLegend Property, jQWidgets jqxScrollView animationDuration Property, unordered_multiset end() function in C++ STL, How to Sort an Array Having Optional Properties in TypeScript ?, unordered_multimap find() function in C++ STL | GeeksforGeeks | [-0.0668203235, 0.0180304851, -0.0163174644, 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06 Jan, 2025 | Compiler Design – GATE CSE Previous Year Questions
06 Jan, 2025
In this article, we are mainly focusing on the Compiler Design GATE Questions that have been asked in Previous Years, with their solutions. And where an explanation is required, we have also provided the reason.
Topic-Wise Quizzes to Practice Previous Year’s Questions
Lexical Analysis
Parsing
Syntax-Directed Translation
Intermediate Code Generation
Below mentioned are the links to the Compiler Design PYQ’s pages. On each page, you will get the questions asked in CD along with the years asked.
GATE CD Previous Year Questions
Compiler Theory | Set 1, 2
GATE CSE Previous Year Question Papers
These previous year’s questions help you understand the question patterns followed by GATE that directly help a candidate in scoring good marks in GATE. Below is the links to year-wise GATE Previous Question Papers.
GATE CSE Previous Year Question Papers
These GATE CSE question papers span over 15 years, along with their official answer keys. We’ve also provided Quiz tests to help you practice key topics, improve speed, track your progress, and build confidence for the GATE exam 2025.
These previous year’s questions help you in understanding the question patterns followed by GATE that directly help a candidate in scoring good marks in GATE.
Dreaming of M.Tech in IIT? Get AIR under 100 with our GATE 2026 CSE & DA courses! Get flexible weekday/weekend options, live mentorship, and mock tests. Access exclusive features like All India Mock Tests, and Doubt Solving—your GATE success starts now! | PHP/PHP Tutorial/PHP Date and Time/Node.js date-and-time Date.isLeapYear() Method/How to convert UTC date time into local date time using JavaScript ?/Convert string into date using JavaScript/Node.js date-and-time Date.transform() Method/Node.js Stream transform.destroy() Method/jQWidgets jqxComboBox destroy() Method/jQWidgets jqxComboBox enableItem() Method/jQWidgets jqxComboBox checkAll() Method/jQWidgets jqxTree checkAll() Method/jQWidgets jqxTree collapseItem() Method/jQWidgets jqxTree ensureVisible() Method/jQWidgets jqxTree clear() Method/jQWidgets jqxTree collapseAll() Method/jQWidgets jqxTree destroy() Method/jQWidgets jqxTreeMap destroy Method/jQWidgets jqxTreeMap showLegend Property/jQWidgets jqxTreeMap selectionEnabled Property/jQWidgets jqxTreeMap theme Property/jQWidgets jqxTreeMap width Property/jQWidgets jqxTree width Property/jQWidgets jqxTree enableHover Property/jQWidgets jqxButtonGroup enableHover Property/jQWidgets jqxListBox enableHover Property/jQWidgets jqxTabs enabledHover Property/jQWidgets jqxTabs position Property/jQWidgets jqxTabs keyboardNavigation Property/jQWidgets jqxTabs contentTransitionDuration Property/jQWidgets jqxTabs disabled Property/jQWidgets jqxSortable disabled Property/jQWidgets jqxSortable opacity Property/jQWidgets jqxTooltip opacity Property/jQWidgets jqxTooltip height Property/jQWidgets jqxToolBar height Property/jQWidgets jqxToolBar close Event/jQWidgets jqxToolBar tools Property/jQWidgets jqxToolBar theme Property/jQWidgets jqxToolBar rtl Property/jQWidgets jqxScrollBar rtl Property/jQWidgets jqxScrollBar step Property/jQWidgets jqxScrollBar theme Property/jQWidgets jqxScrollBar showButtons Property/jQWidgets jqxScrollBar disabled Property/jQWidgets jqxScrollView disabled Property/jQWidgets jqxScrollView slideDuration Property/jQWidgets jqxScrollView showButtons Property/jQWidgets jqxScrollView moveThreshold Property/jQWidgets jqxScrollView refresh() Method/jQWidgets jqxScrollView animationDuration Property/jQWidgets jqxScrollView buttonsOffset Property/jQWidgets jqxSlider buttonsPosition Property/jQWidgets jqxSlider rtl Property/jQWidgets jqxSlider height Property/jQWidgets jqxSplitter height Property/jQWidgets jqxSplitter destroy() Method/jQWidgets jqxSplitter width Property/jQWidgets jqxSplitter orientation Property/jQWidgets jqxSwitchButton orientation Property/jQWidgets jqxSwitchButton enable() Method/jQWidgets jqxSwitchButton onLabel Property/How to declare a module in TypeScript ?/How to Declare Optional Properties in TypeScript ?/TypeScript Optional Parameters/How to Make a Single Property Optional in TypeScript ?/How to Sort an Array Having Optional Properties in TypeScript ?/How to use Optional Chaining with Arrays and Functions in TypeScript ?/Optional Property Class in TypeScript/Introduction to TypeScript/Difference between Flow and TypeScript/Difference Between Flow Control and Error Control/What are Issues in Flow Control Related to LANs?/Design Issues in Network Layer/Difference Between Secure Socket Layer (SSL) and Transport Layer Security (TLS)/SSL vs HTTPS – Which One is More Secure?/What is SSL/TLS Handshake?/Impact of Three-way Handshake and Slow Start Algorithm/Steps to Diagnose and Resolve a Slow Network/Differences between Wireless Adhoc Network and Wireless Sensor Network/Adhoc TCP/Calculation of TCP Checksum/Algorithm for Dynamic Time out timer Calculation/Difference between Round trip time (RTT) and Time to live (TTL)/Difference between Multi Level Queue (MLQ) Scheduling and Round Robin (RR) algorithms/Difference between First Come First Served (FCFS) and Round Robin (RR) Scheduling Algorithm/Round Robin Scheduling Algorithm with Different Arrival Time/Selfish Round Robin CPU Scheduling/Find the order of execution of given N processes in Round Robin Scheduling/Calculate server loads using Round Robin Scheduling/set::lower_bound() 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array, find if there is a pair with a given sum/C# Program for Search an element in a sorted and rotated array/Search in a Sorted and Rotated Array/PHP Program for Search an element in a sorted and rotated array/Check if an array is sorted and rotated using Binary Search/Longest Common Prefix using Binary Search/Java Program To Find Longest Common Prefix Using Sorting/Find minimum shift for longest common prefix/Longest Common Prefix using Word by Word Matching/Longest Common Prefix using Divide and Conquer Algorithm/Introduction to Divide and Conquer Algorithm/Divide and Conquer Algorithm////////////////////////////////////////////////////////////////////////////////////////////////////////////Propositional Logic/Digital Logic and Design – GATE CSE Previous Year Questions/Database Management System – GATE CSE Previous Year Questions/Computer Networks – GATE CSE Previous Year Questions/Compiler Design – GATE CSE Previous Year Questions | 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13 Dec, 2022 | Compiler Theory | Set 2
13 Dec, 2022
The following questions have been asked in the GATE CS exam.
1. Given the following expression grammar: E -> E * F | F+E | F F -> F-F | id which of the following is true? (GATE CS 2000) (a) * has higher precedence than + (b) – has higher precedence than * (c) + and — have same precedence (d) + has higher precedence than *
Answer(b)
Precedence in grammar is enforced by making sure that a production rule with a higher precedence operator will never produce an expression with an operator with lower precedence. In the given grammar ‘-’ has higher precedence than ‘*’
2. Consider a program P that consists of two source modules M1 and M2 contained in two different files. If M1 contains a reference to a function defined in M2 the reference will be resolved at (GATE CS 2004) a) Edit time b) Compile time c) Link time d) Load time
Answer (c) The compiler transforms source code into the target language. The target language is generally in a binary form known as object code. Typically, an object file can contain three kinds of symbols:
* defined symbols, which allow it to be called by other modules, * undefined symbols, which call the other modules where these symbols are defined, and * local symbols used internally within the object file to facilitate relocation.
When a program comprises multiple object files, the linker combines these files into a unified executable program, resolving the symbols as it goes along. http://en.wikipedia.org/wiki/Compiler http://en.wikipedia.org/wiki/Linker_%28computing%29
3. Which of the following suffices to convert an arbitrary CFG to an LL(1) grammar? (GATE CS 2003) (a) Removing left recursion alone (b) Factoring the grammar alone (c) Removing left recursion and factoring the grammar (d) None of the above
Answer(d) Removing left recursion and factoring the grammar does not suffice to convert an arbitrary CFG to LL(1) grammar. http://pages.cpsc.ucalgary.ca/~robin/class/411/LL1.3.html
4. Assume that the SLR parser for a grammar G has n1 states and the LALR parser for G has n2 states. The relationship between n1 and n2 is (GATE CS 2003) (a) n1 is necessarily less than n2 (b) n1 is necessarily equal to n2 (c) n1 is necessarily greater than n2 (d) none of the above
Answer (b)
http://parasol.tamu.edu/people/rwerger/Courses/434/lec10.pdf http://dragonbook.stanford.edu/lecture-notes/Stanford-CS143/11-LALR-Parsing.pdf
Please see GATE Corner for all previous year papers/solutions/explanations, syllabus, important dates, notes, etc.
Please write comments if you find any of the answers/explanations incorrect, or you want to share more information about the topics discussed above.
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25 Jan, 2025 | Phases of a Compiler
25 Jan, 2025
A compiler is a software tool that converts high-level programming code into machine code that a computer can understand and execute. It acts as a bridge between human-readable code and machine-level instructions, enabling efficient program execution. The process of compilation is divided into six phases:
Lexical Analysis: The first phase, where the source code is broken down into tokens such as keywords, operators, and identifiers for easier processing.
Syntax Analysis or Parsing: This phase checks if the source code follows the correct syntax rules, building a parse tree or abstract syntax tree (AST).
Semantic Analysis: It ensures the program’s logic makes sense, checking for errors like type mismatches or undeclared variables.
Intermediate Code Generation: In this phase, the compiler converts the source code into an intermediate, machine-independent representation, simplifying optimization and translation.
Code Optimization: This phase improves the intermediate code to make it run more efficiently, reducing resource usage or increasing speed.
Target Code Generation: The final phase where the optimized code is translated into the target machine code or assembly language that can be executed on the computer.
The whole compilation process is divided into two parts, front-end and back-end. These six phases are divided into two main parts, front-end and back-end with the intermediate code generation phase acting as a link between them. The front end analyzes source code for syntax and semantics, generating intermediate code, while ensuring correctness. The back end optimizes this intermediate code and converts it into efficient machine code for execution. The front end is mostly machine-independent, while the back end is machine-dependent.
The compilation process is an essential part of transforming high-level source code into machine-readable code. A compiler performs this transformation through several phases, each with a specific role in making the code efficient and correct. Broadly, the compilation process can be divided into two main parts:
Analysis Phase: The analysis phase breaks the source program into its basic components and creates an intermediate representation of the program. It is sometimes referred to as front end.
Synthesis Phase: The synthesis phase creates the final target program from the intermediate representation. It is sometimes referred to as back end.
Phases of a Compiler
The compiler consists of two main parts: the front-end and the back-end. The front-end includes the lexical analyzer, syntax analyzer, semantic analyzer, and intermediate code generator. The back-end takes over from there, handling optimization, code generation, and assembly.
Phases of Compiler
1. Lexical Analysis
Lexical analysis is the first phase of a compiler, responsible for converting the raw source code into a sequence of tokens. A token is the smallest unit of meaningful data in a programming language. Lexical analysis involves scanning the source code, recognizing patterns, and categorizing groups of characters into distinct tokens.
The lexical analyzer scans the source code character by character, grouping these characters into meaningful units (tokens) based on the language’s syntax rules. These tokens can represent keywords, identifiers, constants, operators, or punctuation marks. By converting the source code into tokens, lexical analysis simplifies the process of understanding and processing the code in later stages of compilation.
Example: int x = 10;
The lexical analyzer would break this line into the following tokens:
int – Keyword token (data type)x – Identifier token (variable name)= – Operator token (assignment operator)10 – Numeric literal token (integer value); – Punctuation token (semicolon, used to terminate statements)
Each of these tokens is then passed on to the next phase of the compiler for further processing, such as syntax analysis.
To know more about Lexical Analysis refer to this article – Lexical Analysis.
2. Syntax Analysis
Syntax analysis, also known as parsing, is the second phase of a compiler where the structure of the source code is checked. This phase ensures that the code follows the correct grammatical rules of the programming language.
The role of syntax analysis is to verify that the sequence of tokens produced by the lexical analyzer is arranged in a valid way according to the language’s syntax. It checks whether the code adheres to the language’s rules, such as correct use of operators, keywords, and parentheses. If the source code is not structured correctly, the syntax analyzer will generate errors.
To represent the structure of the source code, syntax analysis uses parse trees or syntax trees.
Parse Tree: A parse tree is a tree-like structure that represents the syntactic structure of the source code. It shows how the tokens relate to each other according to the grammar rules. Each branch in the tree represents a production rule of the language, and the leaves represent the tokens.
Syntax Tree: A syntax tree is a more abstract version of the parse tree. It represents the hierarchical structure of the source code but with less detail, focusing on the essential syntactic structure. It helps in understanding how different parts of the code relate to each other.
Parse Tree
To know more about Syntax Analysis refer to this article – Syntax Analysis.
3. Semantic Analysis
Semantic analysis is the phase of the compiler that ensures the source code makes sense logically. It goes beyond the syntax of the code and checks whether the program has any semantic errors, such as type mismatches or undeclared variables.
Semantic analysis checks the meaning of the program by validating that the operations performed in the code are logically correct. This phase ensures that the source code follows the rules of the programming language in terms of its logic and data usage.
Some key checks performed during semantic analysis include:
Type Checking: The compiler ensures that operations are performed on compatible data types. For example, trying to add a string and an integer would be flagged as an error because they are incompatible types.
Variable Declaration: It checks whether variables are declared before they are used. For example, using a variable that has not been defined earlier in the code would result in a semantic error.
Example:
int a = 5;float b = 3.5;a = a + b;
Type Checking:
a is int and b is float. Adding them (a + b) results in float, which cannot be assigned to int a.
Error: Type mismatch: cannot assign float to int.
To know more about Semantic Analysis refer to this article – Semantic Analysis.
4. Intermediate Code Generation
Intermediate code is a form of code that lies between the high-level source code and the final machine code. It is not specific to any particular machine, making it portable and easier to optimize. Intermediate code acts as a bridge, simplifying the process of converting source code into executable code.
The use of intermediate code plays a crucial role in optimizing the program before it is turned into machine code.
Platform Independence: Since the intermediate code is not tied to any specific hardware, it can be easily optimized for different platforms without needing to recompile the entire source code. This makes the process more efficient for cross-platform development.
Simplifying Optimization: Intermediate code simplifies the optimization process by providing a clearer, more structured view of the program. This makes it easier to apply optimization techniques such as:
Dead Code Elimination: Removing parts of the code that don’t affect the program’s output.
Loop Optimization: Improving loops to make them run faster or consume less memory.
Common Subexpression Elimination: Reusing previously calculated values to avoid redundant calculations.
Easier Translation: Intermediate code is often closer to machine code, but not specific to any one machine, making it easier to convert into the target machine code. This step is typically handled in the back end of the compiler, allowing for smoother and more efficient code generation.
Example: a = b + c * d;
t1 = c * dt2 = b + t1a = t2
To know more about Intermediate Code Generation refer to this article – Intermediate Code Generation.
5. Code Optimization
Code Optimization is the process of improving the intermediate or target code to make the program run faster, use less memory, or be more efficient, without altering its functionality. It involves techniques like removing unnecessary computations, reducing redundancy, and reorganizing code to achieve better performance. Optimization is classified broadly into two types:
Machine-Independent
Machine-Dependent
Common Techniques:
Constant Folding: Precomputing constant expressions.
Dead Code Elimination: Removing unreachable or unused code.
Loop Optimization: Improving loop performance through invariant code motion or unrolling.
Strength Reduction: Replacing expensive operations with simpler ones.
Example:
Code Before Optimization
Code After Optimization
for ( int j = 0 ; j < n ; j ++)
{
x = y + z ;
a[j] = 6 x j;
}
x = y + z ;
for ( int j = 0 ; j < n ; j ++)
{
a[j] = 6 x j;
}
To know more about Code Optimization refer to this article – Code Optimization.
6. Code Generation
Code Generation is the final phase of a compiler, where the intermediate representation of the source program (e.g., three-address code or abstract syntax tree) is translated into machine code or assembly code. This machine code is specific to the target platform and can be executed directly by the hardware.
The code generated by the compiler is an object code of some lower-level programming language, for example, assembly language. The source code written in a higher-level language is transformed into a lower-level language that results in a lower-level object code, which should have the following minimum properties:
It should carry the exact meaning of the source code.
It should be efficient in terms of CPU usage and memory management.
Example:
Three Address Code
Assembly Code
t1 = c * d
t2 = b + t1
a = t2
LOAD R1, c ; Load the value of ‘c’ into register R1
LOAD R2, d ; Load the value of ‘d’ into register R2
MUL R1, R2 ; R1 = c * d, store result in R1
LOAD R3, b ; Load the value of ‘b’ into register R3
ADD R3, R1 ; R3 = b + (c * d), store result in R3
STORE a, R3 ; Store the final result in variable ‘a’
Symbol Table – It is a data structure being used and maintained by the compiler, consisting of all the identifier’s names along with their types. It helps the compiler to function smoothly by finding the identifiers quickly.
To know more about Symbol Table refer to this article – Symbol Table.
Error Handling in Phases of Compiler
Error Handling refers to the mechanism in each phase of the compiler to detect, report and recover from errors without terminating the entire compilation process.
Lexical Analysis: Detects errors in the character stream and ensures valid token formation.
Example: Identifies illegal characters or invalid tokens (e.g., @var as an identifier).
Syntax Analysis: Checks for structural or grammatical errors based on the language’s grammar.
Example: Detects missing semicolons or unmatched parentheses.
Semantic Analysis: Verifies the meaning of the code and ensures it follows language semantics.
Example: Reports undeclared variables or type mismatches (e.g., adding a string to an integer).
Intermediate Code Generation: Ensures the correctness of intermediate representations used in further stages.
Example: Detects invalid operations, such as dividing by zero.
Code Optimization: Ensures that the optimization process doesn’t produce errors or alter code functionality.
Example: Identifies issues with unreachable or redundant code.
Code Generation: Handles errors in generating machine code or allocating resources.
Example: Reports insufficient registers or invalid machine instructions.
To know more about Error Handling refer to this article – Error Handling.
Frequently Asked Questions on Phases of Compiler
What is the role of the lexical analyzer?
The lexical analyzer (or scanner) reads the source code and breaks it into tokens like identifiers, keywords, operators, etc., while removing whitespace, comments, and illegal characters.
What is lex and yacc in compiler design?
Lex and Yacc are tools used in compiler design:
Lex: Handles lexical analysis. It breaks the source code into tokens using patterns (like keywords, identifiers, numbers, etc.).
Example: Identifies 123 as a number or if as a keyword.
Yacc: Handles syntax analysis. It uses grammar rules to check if the sequence of tokens is valid and builds a parse tree.
Example: Checks if a + b is a valid expression.
What are the four types of compilers?
Native Compiler: Generates machine code for the same platform it runs on.
Cross Compiler: Produces machine code for a different platform than the one it runs on.
Just-In-Time (JIT) Compiler: Compiles code at runtime to improve execution speed.
Interpreter-Based Compiler (Transpiler): Converts code from one high-level language to another.
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C++ STL/multiset begin() and end() function in C++ STL/match_results begin() and end() function in C++ STL/match_results prefix() and suffix() in C++/C++ Program to Implement Suffix Array/C/C++ program to implement the cricket game/C++ Program to Implement Circular Queue/C++ Program to Check if a string can be formed from another string by at most X circular clockwise shifts/Find array sum using Bitwise OR after splitting given array in two halves after K circular shifts/Check if a string can be formed from another string by at most X circular clockwise shifts/Cyclic shifts of integer N by another integer m/Python3 Program to Find array sum using Bitwise OR after splitting given array in two halves after K circular shifts/Java Program for Check if a string can be formed from another string by at most X circular clockwise shifts/Java Program to Find array sum using Bitwise OR after splitting given array in two halves after K circular shifts/Java Program for Given a sorted and rotated array, find if there is a pair with a given sum/C# Program for Search an element in a sorted and rotated array/Search in a Sorted and Rotated Array/PHP Program for Search an element in a sorted and rotated array/Check if an array is sorted and rotated using Binary Search/Longest Common Prefix using Binary Search/Java Program To Find Longest Common Prefix Using Sorting/Find minimum shift for longest common prefix/Longest Common Prefix using Word by Word Matching/Longest Common Prefix using Divide and Conquer Algorithm/Introduction to Divide and Conquer Algorithm/Divide and Conquer Algorithm////////////////////////////////////////////////////////////////////////////////////////////////////////////Propositional Logic/Digital Logic and Design – GATE CSE Previous Year Questions/Database Management System – GATE CSE Previous Year Questions/Computer Networks – GATE CSE Previous Year Questions/Compiler Design – GATE CSE Previous Year Questions/Compiler Theory | Set 2/Phases of a Compiler | 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04 Feb, 2025 | Shift Reduce Parser in Compiler
04 Feb, 2025
Shift-reduce parsing is a popular bottom-up technique used in syntax analysis, where the goal is to create a parse tree for a given input based on grammar rules. The process works by reading a stream of tokens (the input), and then working backwards through the grammar rules to discover how the input can be generated.
Input Buffer: This stores the string or sequence of tokens that needs to be parsed.Stack: The parser uses a stack to keep track of which symbols or parts of the parse it has already processed. As it processes the input, symbols are pushed onto and popped off the stack.Parsing Table: Similar to a predictive parser, a parsing table helps the parser decide what action to take next.Shift-reduce parsing works by processing the input left to right and gradually building up a parse tree by shifting tokens onto the stack and reducing them using grammar rules, until it reaches the start symbol of the grammar.
Four Main Operations of Shift Reduce ParserShift: Move the next input symbol onto the stack when no reduction is possible.
Reduce: Replace a sequence of symbols at the top of the stack with the left-hand side of a grammar rule.
Accept: Successfully complete parsing when the entire input is processed and the stack contains only the start symbol.
Error: Handle unexpected or invalid input when no shift or reduce action is possible.
Working of Shift Reduce ParserShift-reduce parsers use a Deterministic Finite Automaton (DFA) to help recognize these handles. The DFA helps track what symbols are on the stack and decides when to shift or reduce by following a set of rules. Instead of directly analyzing the structure, the DFA helps the parser determine when reductions should occur based on the stack’s contents.
The shift-reduce parser is a bottom-up parsing technique that breaks down a string into two parts: the undigested part and the semi-digested part. Here’s how it works:
Undigested Part: This part contains the remaining tokens that still need to be processed. It is the input that hasn’t been handled yet.Semi-Digested Part: This part is on a stack. It’s where tokens or parts of the string that have been processed are stored.Parsing Process At the beginning, the input string is entirely undigested, and the stack is empty.
The parser performs one of three actions at each step:
1. ShiftWhen the parser can’t reduce the sequence on the stack (because the stack doesn’t match any production rule), it shifts the next token from the input to the stack.This means the parser takes one token from the undigested part (the input) and places it on the stack.The stack keeps growing as tokens are added until a valid reduction is possible.2. ReduceIf the sequence of tokens on the stack matches the right side of a production rule, the parser can reduce it. This means the sequence of tokens on the stack is replaced with a non-terminal symbol (the left side of the production rule).For example, if the stack has id, and there’s a production rule T → id, the stack would change from id to T.This process is like reversing the rule. It’s called a reduction.The reduction continues until the stack is reduced all the way to the start symbol of the grammar, which indicates that the input has been successfully parsed.There’s one special case of reduction: If the entire stack contains the start symbol and there’s no more input left, the parse is successful (the input is valid).The sequence being reduced (e.g., id in the rule T → id) is called a handle. Identifying the handle is one of the most important tasks of a shift-reduce parser.3. ErrorIf neither shift nor reduce actions are possible, the parser encounters an error.An error happens when: The sequence on the stack doesn’t match any rule in the grammar (so no reduction can be made).If shifting a token would create a sequence on the stack that cannot eventually be reduced to the start symbol, continuing the shift would be pointless.For example, if the parser has E + on the stack and the next input token is ), no reduction is possible, and shifting ) would result in an invalid sequence.Example 1 – Consider the grammar S –> S + S S –> S * S S –> id
Perform Shift Reduce parsing for input string “id + id + id”.
Example 2 – Consider the grammar E –> 2E2 E –> 3E3 E –> 4 Perform Shift Reduce parsing for input string “32423”.
Example 3 – Consider the grammar S –> ( L ) | a L –> L , S | S Perform Shift Reduce parsing for input string “( a, ( a, a ) ) “.
Stack Input Buffer Parsing Action $ ( a , ( a , a ) ) $Shift$ ( a , ( a , a ) ) $Shift$ ( a , ( a , a ) ) $Reduce S → a$ ( S , ( a , a ) ) $Reduce L → S$ ( L , ( a , a ) ) $Shift$ ( L , ( a , a ) ) $Shift$ ( L , ( a , a ) ) $Shift$ ( L , ( a , a ) ) $Reduce S → a$ ( L , ( S , a ) ) $Reduce L → S$ ( L , ( L , a ) ) $Shift$ ( L , ( L , a ) ) $Shift$ ( L , ( L , a ) ) $Reduce S → a$ ( L, ( L, S ) ) $Reduce L →L, S$ ( L, ( L ) ) $Shift$ ( L, ( L ) ) $Reduce S → (L)$ ( L, S ) $Reduce L → L, S$ ( L ) $Shift$ ( L ) $Reduce S → (L)$ S $AcceptProgram to Simulate Shift-Reduce Parsing Following is the implementation-
C++
// Including Libraries
#include <bits/stdc++.h>
using namespace std;
// Global Variables
int z = 0, i = 0, j = 0, c = 0;
// Modify array size to increase
// length of string to be parsed
char a[16], ac[20], stk[15], act[10];
// This Function will check whether
// the stack contain a production rule
// which is to be Reduce.
// Rules can be E->2E2 , E->3E3 , E->4
void check()
{
// Copying string to be printed as action
strcpy(ac,"REDUCE TO E -> ");
// c=length of input string
for(z = 0; z < c; z++)
{
// checking for producing rule E->4
if(stk[z] == '4')
{
printf("%s4", ac);
stk[z] = 'E';
stk[z + 1] = '\0';
//printing action
printf("\n$%s\t%s$\t", stk, a);
}
}
for(z = 0; z < c - 2; z++)
{
// checking for another production
if(stk[z] == '2' && stk[z + 1] == 'E' &&
stk[z + 2] == '2')
{
printf("%s2E2", ac);
stk[z] = 'E';
stk[z + 1] = '\0';
stk[z + 2] = '\0';
printf("\n$%s\t%s$\t", stk, a);
i = i - 2;
}
}
for(z = 0; z < c - 2; z++)
{
//checking for E->3E3
if(stk[z] == '3' && stk[z + 1] == 'E' &&
stk[z + 2] == '3')
{
printf("%s3E3", ac);
stk[z]='E';
stk[z + 1]='\0';
stk[z + 2]='\0';
printf("\n$%s\t%s$\t", stk, a);
i = i - 2;
}
}
return ; // return to main
}
// Driver Function
int main()
{
printf("GRAMMAR is -\nE->2E2 \nE->3E3 \nE->4\n");
// a is input string
strcpy(a,"32423");
// strlen(a) will return the length of a to c
c=strlen(a);
// "SHIFT" is copied to act to be printed
strcpy(act,"SHIFT");
// This will print Labels (column name)
printf("\nstack \t input \t action");
// This will print the initial
// values of stack and input
printf("\n$\t%s$\t", a);
// This will Run upto length of input string
for(i = 0; j < c; i++, j++)
{
// Printing action
printf("%s", act);
// Pushing into stack
stk[i] = a[j];
stk[i + 1] = '\0';
// Moving the pointer
a[j]=' ';
// Printing action
printf("\n$%s\t%s$\t", stk, a);
// Call check function ..which will
// check the stack whether its contain
// any production or not
check();
}
// Rechecking last time if contain
// any valid production then it will
// replace otherwise invalid
check();
// if top of the stack is E(starting symbol)
// then it will accept the input
if(stk[0] == 'E' && stk[1] == '\0')
printf("Accept\n");
else //else reject
printf("Reject\n");
}
C
//Including Libraries
#include<stdio.h>
#include<stdlib.h>
#include<string.h>
//Global Variables
int z = 0, i = 0, j = 0, c = 0;
// Modify array size to increase
// length of string to be parsed
char a[16], ac[20], stk[15], act[10];
// This Function will check whether
// the stack contain a production rule
// which is to be Reduce.
// Rules can be E->2E2 , E->3E3 , E->4
void check()
{
// Copying string to be printed as action
strcpy(ac,"REDUCE TO E -> ");
// c=length of input string
for(z = 0; z < c; z++)
{
//checking for producing rule E->4
if(stk[z] == '4')
{
printf("%s4", ac);
stk[z] = 'E';
stk[z + 1] = '\0';
//printing action
printf("\n$%s\t%s$\t", stk, a);
}
}
for(z = 0; z < c - 2; z++)
{
//checking for another production
if(stk[z] == '2' && stk[z + 1] == 'E' &&
stk[z + 2] == '2')
{
printf("%s2E2", ac);
stk[z] = 'E';
stk[z + 1] = '\0';
stk[z + 2] = '\0';
printf("\n$%s\t%s$\t", stk, a);
i = i - 2;
}
}
for(z=0; z<c-2; z++)
{
//checking for E->3E3
if(stk[z] == '3' && stk[z + 1] == 'E' &&
stk[z + 2] == '3')
{
printf("%s3E3", ac);
stk[z]='E';
stk[z + 1]='\0';
stk[z + 1]='\0';
printf("\n$%s\t%s$\t", stk, a);
i = i - 2;
}
}
return ; //return to main
}
//Driver Function
int main()
{
printf("GRAMMAR is -\nE->2E2 \nE->3E3 \nE->4\n");
// a is input string
strcpy(a,"32423");
// strlen(a) will return the length of a to c
c=strlen(a);
// "SHIFT" is copied to act to be printed
strcpy(act,"SHIFT");
// This will print Labels (column name)
printf("\nstack \t input \t action");
// This will print the initial
// values of stack and input
printf("\n$\t%s$\t", a);
// This will Run upto length of input string
for(i = 0; j < c; i++, j++)
{
// Printing action
printf("%s", act);
// Pushing into stack
stk[i] = a[j];
stk[i + 1] = '\0';
// Moving the pointer
a[j]=' ';
// Printing action
printf("\n$%s\t%s$\t", stk, a);
// Call check function ..which will
// check the stack whether its contain
// any production or not
check();
}
// Rechecking last time if contain
// any valid production then it will
// replace otherwise invalid
check();
// if top of the stack is E(starting symbol)
// then it will accept the input
if(stk[0] == 'E' && stk[1] == '\0')
printf("Accept\n");
else //else reject
printf("Reject\n");
}
// This code is contributed by Ritesh Aggarwal
OutputGRAMMAR is -
E->2E2
E->3E3
E->4
stack input action
$ 32423$ SHIFT
$3 2423$ SHIFT
$32 423$ SHIFT
$324 23$ REDUCE TO E -> 4
$32E 23$ SHIFT
$32E2 3$ REDUCE TO E -> 2E2
$3E 3$ SHIFT
$3E3 $ REDUCE TO E -> 3E3
$E $ AcceptAdvantages:Shift-reduce parsing is efficient and can handle a wide range of context-free grammars. It can parse a large variety of programming languages and is widely used in practice. It is capable of handling both left- and right-recursive grammars, which can be important in parsing certain programming languages. The parse table generated for shift-reduce parsing is typically small, which makes the parser efficient in terms of memory usage. Disadvantages:Shift-reduce parsing has a limited lookahead, which means that it may miss some syntax errors that require a larger lookahead. It may also generate false-positive shift-reduce conflicts, which can require additional manual intervention to resolve. Shift-reduce parsers may have difficulty in parsing ambiguous grammars, where there are multiple possible parse trees for a given input sequence. In some cases, the parse tree generated by shift-reduce parsing may be more complex than other parsing techniques.Frequently Asked Questions on Shift Reduce Parser in CompilerWhat is the use of LR parser?An LR parser is a type of bottom-up parser used for syntax analysis in compiler construction. It is designed to parse context-free grammars (CFGs), and it is particularly efficient and powerful in handling a wide range of grammars.
What is shift-reduce conflict with examples?A shift-reduce conflict arises when the parser cannot decide whether to shift or reduce based on the current state. It typically occurs in grammars that are not LR(1) or have ambiguous rules. Resolving this conflict requires additional rules such as precedence and associativity to guide the parser’s decision-making process.
What is the difference between LR and LL parsers?LR Parser: Bottom-up, can handle more complex grammars, uses right-to-left derivation with one symbol lookahead.LL Parser: Top-down, simpler, handles less complex grammars, uses left-to-right derivation with one symbol lookahead.
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31 Mar, 2021 | LR Parser
31 Mar, 2021
In this article, we will discuss LR parser, and it’s overview and then will discuss the algorithm. Also, we will discuss the parsing table and LR parser working diagram. Let’s discuss it one by one.
LR parser :LR parser is a bottom-up parser for context-free grammar that is very generally used by computer programming language compiler and other associated tools. LR parser reads their input from left to right and produces a right-most derivation. It is called a Bottom-up parser because it attempts to reduce the top-level grammar productions by building up from the leaves. LR parsers are the most powerful parser of all deterministic parsers in practice.
Description of LR parser :The term parser LR(k) parser, here the L refers to the left-to-right scanning, R refers to the rightmost derivation in reverse and k refers to the number of unconsumed “look ahead” input symbols that are used in making parser decisions. Typically, k is 1 and is often omitted. A context-free grammar is called LR (k) if the LR (k) parser exists for it. This first reduces the sequence of tokens to the left. But when we read from above, the derivation order first extends to non-terminal.
The stack is empty, and we are looking to reduce the rule by S’→S$.
Using a “.” in the rule represents how many of the rules are already on the stack.
A dotted item, or simply, the item is a production rule with a dot indicating how much RHS has so far been recognized. Closing an item is used to see what production rules can be used to expand the current structure. It is calculated as follows:
Rules for LR parser :The rules of LR parser as follows.
The first item from the given grammar rules adds itself as the first closed set.
If an object is present in the closure of the form A→ α. β. γ, where the next symbol after the symbol is non-terminal, add the symbol’s production rules where the dot precedes the first item.
Repeat steps (B) and (C) for new items added under (B).
LR parser algorithm :LR Parsing algorithm is the same for all the parser, but the parsing table is different for each parser. It consists following components as follows.
Input Buffer – It contains the given string, and it ends with a $ symbol.
Stack – The combination of state symbol and current input symbol is used to refer to the parsing table in order to take the parsing decisions.
Parsing Table : Parsing table is divided into two parts- Action table and Go-To table. The action table gives a grammar rule to implement the given current state and current terminal in the input stream. There are four cases used in action table as follows.
Shift Action- In shift action the present terminal is removed from the input stream and the state n is pushed onto the stack, and it becomes the new present state.
Reduce Action- The number m is written to the output stream.
The symbol m mentioned in the left-hand side of rule m says that state is removed from the stack.
The symbol m mentioned in the left-hand side of rule m says that a new state is looked up in the goto table and made the new current state by pushing it onto the stack.
An accept - the string is accepted
No action - a syntax error is reported
Note –The go-to table indicates which state should proceed.
LR parser diagram :
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C++ STL/multiset begin() and end() function in C++ STL/match_results begin() and end() function in C++ STL/match_results prefix() and suffix() in C++/C++ Program to Implement Suffix Array/C/C++ program to implement the cricket game/C++ Program to Implement Circular Queue/C++ Program to Check if a string can be formed from another string by at most X circular clockwise shifts/Find array sum using Bitwise OR after splitting given array in two halves after K circular shifts/Check if a string can be formed from another string by at most X circular clockwise shifts/Cyclic shifts of integer N by another integer m/Python3 Program to Find array sum using Bitwise OR after splitting given array in two halves after K circular shifts/Java Program for Check if a string can be formed from another string by at most X circular clockwise shifts/Java Program to Find array sum using Bitwise OR after splitting given array in two halves after K circular shifts/Java Program for Given a sorted and rotated array, find if there is a pair with a given sum/C# Program for Search an element in a sorted and rotated array/Search in a Sorted and Rotated Array/PHP Program for Search an element in a sorted and rotated array/Check if an array is sorted and rotated using Binary Search/Longest Common Prefix using Binary Search/Java Program To Find Longest Common Prefix Using Sorting/Find minimum shift for longest common prefix/Longest Common Prefix using Word by Word Matching/Longest Common Prefix using Divide and Conquer Algorithm/Introduction to Divide and Conquer Algorithm/Divide and Conquer Algorithm////////////////////////////////////////////////////////////////////////////////////////////////////////////Propositional Logic/Digital Logic and Design – GATE CSE Previous Year Questions/Database Management System – GATE CSE Previous Year Questions/Computer Networks – GATE CSE Previous Year Questions/Compiler Design – GATE CSE Previous Year Questions/Compiler Theory | Set 2/Phases of a Compiler/Shift 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05 Feb, 2025 | Recursive Descent Parser
05 Feb, 2025
A recursive descent parser is a top-down parser that processes input based on a set of recursive functions, where each function corresponds to a grammar rule. It parses the input from left to right, constructing a parse tree by matching the grammar’s production rules. This parser is simple to implement and is suitable for LL(1) grammars, where decisions can be made based on a single lookahead token. While straightforward, recursive descent parsers struggle with left-recursive grammars and may require grammar transformations to handle such cases effectively.
A Predictive Parser is a special case of Recursive Descent Parser, where no Back Tracking is required. By carefully writing a grammar, means eliminating left recursion and left factoring from it, the resulting grammar will be a grammar that can be parsed by a recursive descent parser.
By carefully writing a grammar means eliminating left recursion and left factoring from it, the resulting grammar will be a grammar that can be parsed by a recursive descent parser.
Example:
Before removing left recursionAfter removing left recursionE –> E + T | T T –> T * F | F F –> ( E ) | idE –> T E’ E’ –> + T E’ | e T –> F T’ T’ –> * F T’ | e F –> ( E ) | idAlgorithm for Recursive Descent ParserS(){ Choose any S production, S ->X1X2…..Xk; for (i = 1 to k) { If ( Xi is a non-terminal) Call procedure Xi(); else if ( Xi equals the current input, increment input) Else /* error has occurred, backtrack and try another possibility */ }}Let’s understand it better with an example:
The given grammar is:
E → i E'E' → + i E' | εFunction E()
E(){ if (input == 'i') { // If the input is 'i' (identifier) input++; // Consume 'i' } E'(); // Call E' to check for further expressions}It checks for i (identifier).If found, it moves the input pointer ahead.Calls E'() to check if a + operation exists.Function E'()
void E`() { if (input == '+') { input++; // Consume the '+' if (input == 'i') { input++; // Consume the 'i' } E`(); // Recursively process more additions } else { return; // If no '+', return (ε production) }}It checks for + i.If found, it consumes them and calls E'() recursively.If no +, it returns (ε production).Main Function
Main(){ E(); // Start parsing from E if (input == '$') // If we reach end of input Parsing Successful;}Calls E() to start parsing.Checks if the input ends with $, which indicates a successful parse.Example Input Parsing
Let’s consider the example input:
i + i $Processing step by step:
E() starts → input == i, so consume iCall E'() → input == +, so consume +input == i, so consume iCall E'() again → no +, so return.Back to Main(), input == $ → Parsing SuccessfulImportant points about recursive descent parsersTop-Down Parsing: It starts from the start symbol and recursively applies grammar rules to break down the input.One Function per Non-Terminal: Each grammar rule has a corresponding function in the parser, making the implementation straightforward.Uses Recursion: The parser calls functions within themselves to process different parts of the input, matching the recursive nature of grammar rules.Works Best with LL(1) Grammars: It’s most effective for grammars that can be parsed with a single token lookahead, typically simple, non-left-recursive grammars.Easy to Implement: The structure is easy to follow and implement, making it a good choice for small compilers or interpreters.Error Handling: It can detect syntax errors and report them, making it useful for debugging input strings.Code Implementation of a Recursive Descent Parser
C
#include <stdio.h>
#include <string.h>
#define SUCCESS 1
#define FAILED 0
// Function prototypes
int E(), Edash(), T(), Tdash(), F();
const char *cursor;
char string[64];
int main()
{
puts("Enter the string");
scanf("%s", string); // Read input from the user
cursor = string;
puts("");
puts("Input Action");
puts("--------------------------------");
// Call the starting non-terminal E
if (E() && *cursor == '\0')
{ // If parsing is successful and the cursor has reached the end
puts("--------------------------------");
puts("String is successfully parsed");
return 0;
}
else
{
puts("--------------------------------");
puts("Error in parsing String");
return 1;
}
}
// Grammar rule: E -> T E'
int E()
{
printf("%-16s E -> T E'\n", cursor);
if (T())
{ // Call non-terminal T
if (Edash())
{ // Call non-terminal E'
return SUCCESS;
}
else
{
return FAILED;
}
}
else
{
return FAILED;
}
}
// Grammar rule: E' -> + T E' | $
int Edash()
{
if (*cursor == '+')
{
printf("%-16s E' -> + T E'\n", cursor);
cursor++;
if (T())
{ // Call non-terminal T
if (Edash())
{ // Call non-terminal E'
return SUCCESS;
}
else
{
return FAILED;
}
}
else
{
return FAILED;
}
}
else
{
printf("%-16s E' -> $\n", cursor);
return SUCCESS;
}
}
// Grammar rule: T -> F T'
int T()
{
printf("%-16s T -> F T'\n", cursor);
if (F())
{ // Call non-terminal F
if (Tdash())
{ // Call non-terminal T'
return SUCCESS;
}
else
{
return FAILED;
}
}
else
{
return FAILED;
}
}
// Grammar rule: T' -> * F T' | $
int Tdash()
{
if (*cursor == '*')
{
printf("%-16s T' -> * F T'\n", cursor);
cursor++;
if (F())
{ // Call non-terminal F
if (Tdash())
{ // Call non-terminal T'
return SUCCESS;
}
else
{
return FAILED;
}
}
else
{
return FAILED;
}
}
else
{
printf("%-16s T' -> $\n", cursor);
return SUCCESS;
}
}
// Grammar rule: F -> ( E ) | i
int F()
{
if (*cursor == '(')
{
printf("%-16s F -> ( E )\n", cursor);
cursor++;
if (E())
{ // Call non-terminal E
if (*cursor == ')')
{
cursor++;
return SUCCESS;
}
else
{
return FAILED;
}
}
else
{
return FAILED;
}
}
else if (*cursor == 'i')
{
printf("%-16s F -> i\n", cursor);
cursor++;
return SUCCESS;
}
else
{
return FAILED;
}
}
Frequently Asked Questions on Recursive Descent ParserDoes GCC use recursive-descent?No, GCC (GNU Compiler Collection) does not use a recursive descent parser. Instead, GCC uses a more complex parsing technique known as an LR parser (specifically, an LALR parser—Look-Ahead LR parser).
What is top-down recursive parsing?Top-down recursive parsing is a parsing technique where the parser begins with the start symbol of the grammar and works its way down, recursively applying grammar rules to break down the input.
Is LL-1 a recursive descent parser?Yes, LL(1) parsing is a specific type of recursive descent parser, but with some important constraints.
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showLegend Property, jQWidgets jqxScrollView animationDuration Property, unordered_multiset end() function in C++ STL, How to Sort an Array Having Optional Properties in TypeScript ?, unordered_multimap find() function in C++ STL | GeeksforGeeks | [-0.0266008675, 0.0354024209, -0.0199436434, -0.0133635029, 0.012795887, 0.0208966769, 0.00540286349, 0.0198175069, -0.0387100093, 0.00335664279, 0.0221580472, -0.0382615216, 0.0429986641, -0.0213872101, -0.00221965881, 0.0336925648, 0.0292637572, -0.00721783284, 0.00268741651, -0.0158652179, 0.0182478037, -0.0248209368, -0.0125856586, -0.00379461795, 0.00835306477, -0.00375257246, 0.010322202, -0.0310857352, -0.0151784718, -0.00964947231, 0.0562850833, 0.0161315072, 0.0366637893, -0.0311698262, -0.0230970662, 0.0173648447, 0.0109598944, -0.0122633083, -0.025535712, 0.00796063896, -0.0144076357, 0.0114854649, -0.00224418542, 0.00461450778, -0.0179675, 0.0263485946, 0.0316463448, -0.00941822119, -0.020560313, -0.0239519943, -0.0308334623, 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30 Jul, 2024 | SLR Parser (with Examples)
30 Jul, 2024
LR parsers is an efficient bottom-up syntax analysis technique that can be used to parse large classes of context-free grammar is called LR(k) parsing. L stands for left-to-right scanningR stands for rightmost derivation in reversek is several input symbols. when k is omitted k is assumed to be 1.
Advantages of LR parsing
LR parsers handle context-free grammars. These grammars describe the structure of programming languages-how statements, expressions, and other language constructs fit together.
LR parsers ensure that your code adheres to these rules.
It is able to detect syntactic errors
It is an efficient non-backtracking shift shift-reducing parsing method.
Types of LR Parsing Methods
SLR parser
LALR parser
Canonical LR parser
SLR Parser
LR parser is also called as SLR parser
it is weakest of the three methods but easier to implement
a grammar for which SLR parser can be constructed is called SLR grammar
Steps for constructing the SLR parsing table
Writing augmented grammar
LR(0) collection of items to be found
Find FOLLOW of LHS of production
Defining 2 functions:goto[list of terminals] and action[list of non-terminals] in the parsing table
EXAMPLE – Construct LR parsing table for the given context-free grammar
S–>AA A–>aA|b
Solution:
STEP1: Find augmented grammarThe augmented grammar of the given grammar is:-
S’–>.S [0th production] S–>.AA [1st production] A–>.aA [2nd production] A–>.b [3rd production]
STEP2: Find LR(0) collection of itemsBelow is the figure showing the LR(0) collection of items. We will understand everything one by one.
The terminals of this grammar are {a,b}.The non-terminals of this grammar are {S,A}
RULE – If any non-terminal has ‘ . ‘ preceding it, we have to write all its production and add ‘ . ‘ preceding each of its production.
RULE – from each state to the next state, the ‘ . ‘ shifts to one place to the right.
In the figure, I0 consists of augmented grammar.
Io goes to I1 when ‘ . ‘ of 0th production is shifted towards the right of S(S’->S.). this state is the accepted state. S is seen by the compiler.
Io goes to I2 when ‘ . ‘ of 1st production is shifted towards right (S->A.A) . A is seen by the compiler
I0 goes to I3 when ‘ . ‘ of the 2nd production is shifted towards right (A->a.A) . a is seen by the compiler.
I0 goes to I4 when ‘ . ‘ of the 3rd production is shifted towards right (A->b.) . b is seen by the compiler.
I2 goes to I5 when ‘ . ‘ of 1st production is shifted towards right (S->AA.) . A is seen by the compiler
I2 goes to I4 when ‘ . ‘ of 3rd production is shifted towards right (A->b.) . b is seen by the compiler.
I2 goes to I3 when ‘ . ‘ of the 2nd production is shifted towards right (A->a.A) . a is seen by the compiler.
I3 goes to I4 when ‘ . ‘ of the 3rd production is shifted towards right (A->b.) . b is seen by the compiler.
I3 goes to I6 when ‘ . ‘ of 2nd production is shifted towards the right (A->aA.) . A is seen by the compiler
I3 goes to I3 when ‘ . ‘ of the 2nd production is shifted towards right (A->a.A) . a is seen by the compiler.
STEP3: Find FOLLOW of LHS of production
FOLLOW(S)=$FOLLOW(A)=a,b,$
To find FOLLOW of non-terminals, please read follow set in syntax analysis.
STEP 4: Defining 2 functions:goto[list of non-terminals] and action[list of terminals] in the parsing table. Below is the SLR parsing table.
$ is by default a nonterminal that takes accepting state.
0,1,2,3,4,5,6 denotes I0,I1,I2,I3,I4,I5,I6
I0 gives A in I2, so 2 is added to the A column and 0 rows.
I0 gives S in I1,so 1 is added to the S column and 1 row.
similarly 5 is written in A column and 2 row, 6 is written in A column and 3 row.
I0 gives a in I3 .so S3(shift 3) is added to a column and 0 row.
I0 gives b in I4 .so S4(shift 4) is added to the b column and 0 row.
Similarly, S3(shift 3) is added on a column and 2,3 row ,S4(shift 4) is added on b column and 2,3 rows.
I4 is reduced state as ‘ . ‘ is at the end. I4 is the 3rd production of grammar(A–>.b).LHS of this production is A. FOLLOW(A)=a,b,$ . write r3(reduced 3) in the columns of a,b,$ and 4th row
I5 is reduced state as ‘ . ‘ is at the end. I5 is the 1st production of grammar(S–>.AA). LHS of this production is S.FOLLOW(S)=$ . write r1(reduced 1) in the column of $ and 5th row
I6 is a reduced state as ‘ . ‘ is at the end. I6 is the 2nd production of grammar( A–>.aA). The LHS of this production is A.FOLLOW(A)=a,b,$ . write r2(reduced 2) in the columns of a,b,$ and 6th row
APPLICATIONS GALORE:
Compiler
Data Validation
Natural Language Processing(NLP)
Protocol Parsing
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29 Oct, 2022 | CLR Parser (with Examples)
29 Oct, 2022
LR parsers :It is an efficient bottom-up syntax analysis technique that can be used to parse large classes of context-free grammar is called LR(k) parsing. L stands for the left to right scanningR stands for rightmost derivation in reversek stands for no. of input symbols of lookahead
Advantages of LR parsing :
It recognizes virtually all programming language constructs for which CFG can be written
It is able to detect syntactic errors
It is an efficient non-backtracking shift reducing parsing method.
Types of LR parsing methods :
SLR
CLR
LALR
CLR Parser :The CLR parser stands for canonical LR parser.It is a more powerful LR parser.It makes use of lookahead symbols. This method uses a large set of items called LR(1) items.The main difference between LR(0) and LR(1) items is that, in LR(1) items, it is possible to carry more information in a state, which will rule out useless reduction states.This extra information is incorporated into the state by the lookahead symbol. The general syntax becomes [A->∝.B, a ]where A->∝.B is the production and a is a terminal or right end marker $LR(1) items=LR(0) items + look ahead
How to add lookahead with the production?CASE 1 –
A->∝.BC, a
Suppose this is the 0th production.Now, since ‘ . ‘ precedes B,so we have to write B’s productions as well.
B->.D [1st production]
Suppose this is B’s production. The look ahead of this production is given as we look at previous productions ie 0th production. Whatever is after B, we find FIRST(of that value) , that is the lookahead of 1st production.So,here in 0th production, after B, C is there. assume FIRST(C)=d, then 1st production become
B->.D, d
CASE 2 –Now if the 0th production was like this,
A->∝.B, a
Here, we can see there’s nothing after B. So the lookahead of 0th production will be the lookahead of 1st production. ie-
B->.D, a
CASE 3 –Assume a production A->a|b
A->a,$ [0th production]
A->b,$ [1st production]
Here, the 1st production is a part of the previous production, so the lookahead will be the same as that of its previous production.These are the 2 rules of look ahead.
Steps for constructing CLR parsing table :
Writing augmented grammar
LR(1) collection of items to be found
Defining 2 functions: goto[list of terminals] and action[list of non-terminals] in the CLR parsing table
EXAMPLE Construct a CLR parsing table for the given context-free grammar
S-->AA
A-->aA|b
Solution :STEP 1 – Find augmented grammar
The augmented grammar of the given grammar is:-
S'-->.S ,$ [0th production]
S-->.AA ,$ [1st production]
A-->.aA ,a|b [2nd production]
A-->.b ,a|b [3rd production]
Let’s apply the rule of lookahead to the above productions
The initial look ahead is always $
Now, the 1st production came into existence because of ‘ . ‘ Before ‘S’ in 0th production.There is nothing after ‘S’, so the lookahead of 0th production will be the lookahead of 1st production. ie: S–>.AA ,$
Now, the 2nd production came into existence because of ‘ . ‘ Before ‘A’ in the 1st production.After ‘A’, there’s ‘A’. So, FIRST(A) is a,bTherefore,the look ahead for the 2nd production becomes a|b.
Now, the 3rd production is a part of the 2nd production.So, the look ahead will be the same.
STEP 2 – Find LR(1) collection of itemsBelow is the figure showing the LR(1) collection of items. We will understand everything one by one.
The terminals of this grammar are {a,b}The non-terminals of this grammar are {S,A}
RULE-
If any non-terminal has ‘ . ‘ preceding it, we have to write all its production and add ‘ . ‘ preceding each of its production.
from each state to the next state, the ‘ . ‘ shifts to one place to the right.
All the rules of lookahead apply here.
In the figure, I0 consists of augmented grammar.
Io goes to I1 when ‘ . ‘ of 0th production is shifted towards the right of S(S’->S.). This state is the accept state . S is seen by the compiler. Since I1 is a part of the 0th production, the lookahead is the same ie $
Io goes to I2 when ‘ . ‘ of 1st production is shifted towards right (S->A.A) . A is seen by the compiler. Since I2 is a part of the 1st production, the lookahead is the same i.e. $.
I0 goes to I3 when ‘ . ‘ of the 2nd production is shifted towards right (A->a.A) . a is seen by the compiler. Since I3 is a part of the 2nd production, the lookahead is the same ie a|b.
I0 goes to I4 when ‘ . ‘ of the 3rd production is shifted towards right (A->b.) . b is seen by the compiler. Since I4 is a part of the 3rd production, the lookahead is the same i.e. a | b.
I2 goes to I5 when ‘ . ‘ of 1st production is shifted towards right (S->AA.) . A is seen by the compiler. Since I5 is a part of the 1st production, the lookahead is the same i.e. $.
I2 goes to I6 when ‘ . ‘ of 2nd production is shifted towards the right (A->a.A) . A is seen by the compiler. Since I6 is a part of the 2nd production, the lookahead is the same i.e. $.
I2 goes to I7 when ‘ . ‘ of 3rd production is shifted towards right (A->b.) . A is seen by the compiler. Since I6 is a part of the 3rd production, the lookahead is the same i.e. $.
I3 goes to I3 when ‘ . ‘ of the 2nd production is shifted towards right (A->a.A) . a is seen by the compiler. Since I3 is a part of the 2nd production, the lookahead is the same i.e. a|b.
I3 goes to I8 when ‘ . ‘ of 2nd production is shifted towards the right (A->aA.) . A is seen by the compiler. Since I8 is a part of the 2nd production, the lookahead is the same i.e. a|b.
I6 goes to I9 when ‘ . ‘ of 2nd production is shifted towards the right (A->aA.) . A is seen by the compiler. Since I9 is a part of the 2nd production, the lookahead is the same i.e. $.
I6 goes to I6 when ‘ . ‘ of the 2nd production is shifted towards right (A->a.A) . a is seen by the compiler. Since I6 is a part of the 2nd production, the lookahead is the same i.e. $.
I6 goes to I7 when ‘ . ‘ of the 3rd production is shifted towards right (A->b.) . b is seen by the compiler. Since I6 is a part of the 3rd production, the lookahead is the same ie $.
STEP 3- defining 2 functions:goto[list of terminals] and action[list of non-terminals] in the parsing table.Below is the CLR parsing table
$ is by default a non terminal which takes accepting state.
0,1,2,3,4,5,6,7,8,9 denotes I0,I1,I2,I3,I4,I5,I6,I7,I8,I9
I0 gives A in I2, so 2 is added to the A column and 0 row.
I0 gives S in I1,so 1 is added to the S column and 1st row.
similarly 5 is written in A column and 2nd row, 8 is written in A column and 3rd row, 9 is written in A column and 6th row.
I0 gives a in I3, so S3(shift 3) is added to a column and 0 row.
I0 gives b in I4, so S4(shift 4) is added to the b column and 0 row.
Similarly, S6(shift 6) is added on ‘a’ column and 2,6 row ,S7(shift 7) is added on b column and 2,6 row,S3(shift 3) is added on ‘a’ column and 3 row ,S4(shift 4) is added on b column and 3 row.
I4 is reduced as ‘ . ‘ is at the end. I4 is the 3rd production of grammar. So write r3(reduce 3) in lookahead columns. The lookahead of I4 are a and b, so write R3 in a and b column.
I5 is reduced as ‘ . ‘ is at the end. I5 is the 1st production of grammar. So write r1(reduce 1) in lookahead columns. The lookahead of I5 is $ so write R1 in $ column.
Similarly, write R2 in a,b column and 8th row, write R2 in $ column and 9th row.
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Functions in C++ STL, array::cbegin() and array::cend() in C++ STL, PHP Tutorial, jQWidgets jqxTreeMap showLegend Property, jQWidgets jqxScrollView animationDuration Property, unordered_multiset end() function in C++ STL, How to Sort an Array Having Optional Properties in TypeScript ?, unordered_multimap find() function in C++ STL | GeeksforGeeks | [-0.0146695273, 0.00949503109, -0.0190577041, 0.0202414114, 0.0104673635, 0.00453191157, -0.00887781195, 0.0341246203, -0.0167917479, 0.0275804028, 0.00626097154, -0.0292714145, 0.0403813645, -0.0331438333, -0.00270984648, 0.00818449724, 0.0171722248, 0.00342429895, -0.0186180398, -0.0135111846, 0.00609187037, 0.0036969746, -0.0197510179, 0.0126741342, -0.018854782, -0.00348137063, 0.0036229929, -0.014897814, -0.0292375945, 0.0140523082, 0.0490393452, 0.0329747312, 0.0297787189, -0.0372022614, -0.0522522666, -0.013435089, 0.00556342909, -0.0119131785, -0.0209516361, 0.0279186051, -0.0181276463, 0.0131307067, 0.000851318764, 0.0263628755, 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05 Sep, 2022 | Compiler Design SLR(1) Parser Using Python
05 Sep, 2022
Prerequisite: LR Parser, SLR Parser
SLR (1) grammar
SLR stands for Simple LR grammar. It is an example of a bottom-up parser. The “L” in SLR represents the scanning that advances from left to right and the “R” stands for constructions of derivation in reverse order, and the “(1)” represents the number of input symbols of lookahead.
Shift and Reduce Operations
The next important concept is SHIFT and REDUCE operations. During parsing, we can enter two types of states. First, we may have a state where ‘·’ is at the end of production. This state is called “Handle”. Here comes the role of REDUCE operation. Second, while parsing we may have a state where ‘·’ is pointing at some grammar symbol and there is still scope for advancement. In this scenario, a Shift operation is performed.
Use of Dot [ · ]
In LR parsing we use Dot ‘·’ as a character in the rule so that we know the progress in parsing at any given point. Note that ‘·’ is like an informer and, it should not be considered as a grammar symbol. In SLR (1), we have only one input symbol as lookahead, which is ultimately helping us determine the current state during parsing activity.
Parsing Decisions
For making the parsing decisions we need to construct the deterministic finite automaton. It helps us determine the current state to which we have arrived while we are parsing. When we design it for SLR parser it is referred to as LR automaton. The states of this automaton are the set of “Items” related to the production rules set.
Generating LR Collection
The first step is to create an augmented grammar. The augmentation process starts by bringing the start symbol on the right-hand side of a production rule. We cannot alter the existing rule so we add a new rule in the productions. Bringing the start symbol on RHS ensures that the parsing reaches the acceptance state. The REDUCE operation on this newly added rule determines the string acceptance.
For example,
IF we have ‘K’ as a start symbol
THEN L → K is added in productions
(where ‘L’ represents any non-preexisting symbol in the collection)
CLOSURE and GOTO Operations
In the process of construction of deterministic finite automaton, there are two requirements. The first is creating “States” and the second is developing “Transitions” in the automaton.
1) CLOSURE
Closure operation helps us to form the “States”. Before taking the closure operation all the rules must be separated. Then number all the rules. This will be helpful later for making the Shift and Reduce entries in the parsing table. Let I0 be the collection of rules obtained after grammar augmentation. This means we also have a newly added rule in collection I0.
Assumption – (consider [L, K] are non-terminals and [m, t, p] are set of zero or more terminals or non-terminals)
DO REPEAT (Till-No-New-Rule-Gets-Added) {
IF (any production of the form “ L → m · K t ” exists) and (we have production K → · p)
THEN {add production K → · p to the Closure set if not preexisting}
}
2) GOTO
GOTO operation helps us to form the “Transitions”. In operation GOTO (I, X), ‘I’ can be elaborated as the state we are looking at and ‘X’ is the symbol pointed by Dot (·). So, GOTO takes in a state with items and a grammar symbol and produces the new or existing state as output.
The GOTO (I, X) represents the state transition from “I” on the input symbol “X”.
For any production rule “ L → m · K t ” in “I”
GOTO (I, X) outputs the closure of a set of all the productions “ L → m K · t ”
Program approach
The input for the program is the list of rules having a set of items and lists determining terminal and non-terminal symbols. The control starts form grammarAugmentation() function, then we have to calculate I0 state, that is calculated by calling findClosure(), now for new states generation generateStates() function is called and finally createParseTable() function is called.
A) grammarAugmentation
In this function firstly we create a unique symbol and use it to create a new item to bring the start symbol on RHS. Then we format the items into a nested list and add a dot at the start of the item’s RHS. Also, we keep only one derivation in one item. Thus we have generated a list named separatedRulesList.
B) findClosure
This function runs differently for I0 state. For I0 state, we directly append to closureSet the newly created item from augmentation. In any other case, closureSet gets initialized with the received argument “input_state”.
Now continue iterations till we are receiving new items in closureSet. We follow the rules mentioned under “Item-set Closure” title above to look for the next items to be added in closureSet.
C) generateStates
In this function we are starting with GOTO computation. “statesDict” is a dictionary that stores all the states and is used as a global variable. We iterate over the statesDict till new states are getting added to it. We call the compute_GOTO() function on each added state only once.
D) compute_GOTO
Now control reaches compute_GOTO, this function doesn’t have actual goto logic, but it creates metadata to call the GOTO() function iteratively. For the given input state, we call GOTO(state,Xi), where Xi represents a symbol pointed by a dot. There can be multiple Xi, so isolating iteration procedure from actual GOTO() logic implementation reduces complexity.
E) GOTO
This function is called by compute_GOTO() function, we receive “input_state” and “charNextToDot”, we perform the shift operation and generate a new state.
Now for any item in a new state, dot can point to some symbol for which we may have another item, so to include all the items for the new state, we call findClosure() function that I discussed above.
To store this information of “GOTO(state, symbol) = newState”, the stateMap dictionary is created having key of type tuple and value of type integer. This will help in parsing table generation and printing output.
F) createParseTable
Firstly we create the table in its initial empty state. Columns will have ACTION (Terminals and $) and GOTO (Non-terminals). Rows will have numbered states (I0-In).
Using stateMap fill in the SHIFT and GOTO entries. To add reduce entries in LR parser, find the “handles” (item with the dot at the end) in the generated states, and place Rn (n is the item number in separatedRulesList), in Table[ stateNo ] [ Ai ], where “stateNo” is the state in which item belongs.
“Ai” is any symbol belonging to FOLLOW of LHS symbol of the current item that we are traversing. REDUCE entry for the new augmented rule shows “Acceptance”. The parser may have RR (Reduce-Reduce) and SR (Shift-Reduce) conflicts.
Python3
# SLR(1)
import copy
# perform grammar augmentation
def grammarAugmentation(rules, nonterm_userdef,
start_symbol):
# newRules stores processed output rules
newRules = []
# create unique 'symbol' to
# - represent new start symbol
newChar = start_symbol + "'"
while (newChar in nonterm_userdef):
newChar += "'"
# adding rule to bring start symbol to RHS
newRules.append([newChar,
['.', start_symbol]])
# new format => [LHS,[.RHS]],
# can't use dictionary since
# - duplicate keys can be there
for rule in rules:
# split LHS from RHS
k = rule.split("->")
lhs = k[0].strip()
rhs = k[1].strip()
# split all rule at '|'
# keep single derivation in one rule
multirhs = rhs.split('|')
for rhs1 in multirhs:
rhs1 = rhs1.strip().split()
# ADD dot pointer at start of RHS
rhs1.insert(0, '.')
newRules.append([lhs, rhs1])
return newRules
# find closure
def findClosure(input_state, dotSymbol):
global start_symbol, \
separatedRulesList, \
statesDict
# closureSet stores processed output
closureSet = []
# if findClosure is called for
# - 1st time i.e. for I0,
# then LHS is received in "dotSymbol",
# add all rules starting with
# - LHS symbol to closureSet
if dotSymbol == start_symbol:
for rule in separatedRulesList:
if rule[0] == dotSymbol:
closureSet.append(rule)
else:
# for any higher state than I0,
# set initial state as
# - received input_state
closureSet = input_state
# iterate till new states are
# - getting added in closureSet
prevLen = -1
while prevLen != len(closureSet):
prevLen = len(closureSet)
# "tempClosureSet" - used to eliminate
# concurrent modification error
tempClosureSet = []
# if dot pointing at new symbol,
# add corresponding rules to tempClosure
for rule in closureSet:
indexOfDot = rule[1].index('.')
if rule[1][-1] != '.':
dotPointsHere = rule[1][indexOfDot + 1]
for in_rule in separatedRulesList:
if dotPointsHere == in_rule[0] and \
in_rule not in tempClosureSet:
tempClosureSet.append(in_rule)
# add new closure rules to closureSet
for rule in tempClosureSet:
if rule not in closureSet:
closureSet.append(rule)
return closureSet
def compute_GOTO(state):
global statesDict, stateCount
# find all symbols on which we need to
# make function call - GOTO
generateStatesFor = []
for rule in statesDict[state]:
# if rule is not "Handle"
if rule[1][-1] != '.':
indexOfDot = rule[1].index('.')
dotPointsHere = rule[1][indexOfDot + 1]
if dotPointsHere not in generateStatesFor:
generateStatesFor.append(dotPointsHere)
# call GOTO iteratively on all symbols pointed by dot
if len(generateStatesFor) != 0:
for symbol in generateStatesFor:
GOTO(state, symbol)
return
def GOTO(state, charNextToDot):
global statesDict, stateCount, stateMap
# newState - stores processed new state
newState = []
for rule in statesDict[state]:
indexOfDot = rule[1].index('.')
if rule[1][-1] != '.':
if rule[1][indexOfDot + 1] == \
charNextToDot:
# swapping element with dot,
# to perform shift operation
shiftedRule = copy.deepcopy(rule)
shiftedRule[1][indexOfDot] = \
shiftedRule[1][indexOfDot + 1]
shiftedRule[1][indexOfDot + 1] = '.'
newState.append(shiftedRule)
# add closure rules for newState
# call findClosure function iteratively
# - on all existing rules in newState
# addClosureRules - is used to store
# new rules temporarily,
# to prevent concurrent modification error
addClosureRules = []
for rule in newState:
indexDot = rule[1].index('.')
# check that rule is not "Handle"
if rule[1][-1] != '.':
closureRes = \
findClosure(newState, rule[1][indexDot + 1])
for rule in closureRes:
if rule not in addClosureRules \
and rule not in newState:
addClosureRules.append(rule)
# add closure result to newState
for rule in addClosureRules:
newState.append(rule)
# find if newState already present
# in Dictionary
stateExists = -1
for state_num in statesDict:
if statesDict[state_num] == newState:
stateExists = state_num
break
# stateMap is a mapping of GOTO with
# its output states
if stateExists == -1:
# if newState is not in dictionary,
# then create new state
stateCount += 1
statesDict[stateCount] = newState
stateMap[(state, charNextToDot)] = stateCount
else:
# if state repetition found,
# assign that previous state number
stateMap[(state, charNextToDot)] = stateExists
return
def generateStates(statesDict):
prev_len = -1
called_GOTO_on = []
# run loop till new states are getting added
while (len(statesDict) != prev_len):
prev_len = len(statesDict)
keys = list(statesDict.keys())
# make compute_GOTO function call
# on all states in dictionary
for key in keys:
if key not in called_GOTO_on:
called_GOTO_on.append(key)
compute_GOTO(key)
return
# calculation of first
# epsilon is denoted by '#' (semi-colon)
# pass rule in first function
def first(rule):
global rules, nonterm_userdef, \
term_userdef, diction, firsts
# recursion base condition
# (for terminal or epsilon)
if len(rule) != 0 and (rule is not None):
if rule[0] in term_userdef:
return rule[0]
elif rule[0] == '#':
return '#'
# condition for Non-Terminals
if len(rule) != 0:
if rule[0] in list(diction.keys()):
# fres temporary list of result
fres = []
rhs_rules = diction[rule[0]]
# call first on each rule of RHS
# fetched (& take union)
for itr in rhs_rules:
indivRes = first(itr)
if type(indivRes) is list:
for i in indivRes:
fres.append(i)
else:
fres.append(indivRes)
# if no epsilon in result
# - received return fres
if '#' not in fres:
return fres
else:
# apply epsilon
# rule => f(ABC)=f(A)-{e} U f(BC)
newList = []
fres.remove('#')
if len(rule) > 1:
ansNew = first(rule[1:])
if ansNew != None:
if type(ansNew) is list:
newList = fres + ansNew
else:
newList = fres + [ansNew]
else:
newList = fres
return newList
# if result is not already returned
# - control reaches here
# lastly if eplison still persists
# - keep it in result of first
fres.append('#')
return fres
# calculation of follow
def follow(nt):
global start_symbol, rules, nonterm_userdef, \
term_userdef, diction, firsts, follows
# for start symbol return $ (recursion base case)
solset = set()
if nt == start_symbol:
# return '$'
solset.add('$')
# check all occurrences
# solset - is result of computed 'follow' so far
# For input, check in all rules
for curNT in diction:
rhs = diction[curNT]
# go for all productions of NT
for subrule in rhs:
if nt in subrule:
# call for all occurrences on
# - non-terminal in subrule
while nt in subrule:
index_nt = subrule.index(nt)
subrule = subrule[index_nt + 1:]
# empty condition - call follow on LHS
if len(subrule) != 0:
# compute first if symbols on
# - RHS of target Non-Terminal exists
res = first(subrule)
# if epsilon in result apply rule
# - (A->aBX)- follow of -
# - follow(B)=(first(X)-{ep}) U follow(A)
if '#' in res:
newList = []
res.remove('#')
ansNew = follow(curNT)
if ansNew != None:
if type(ansNew) is list:
newList = res + ansNew
else:
newList = res + [ansNew]
else:
newList = res
res = newList
else:
# when nothing in RHS, go circular
# - and take follow of LHS
# only if (NT in LHS)!=curNT
if nt != curNT:
res = follow(curNT)
# add follow result in set form
if res is not None:
if type(res) is list:
for g in res:
solset.add(g)
else:
solset.add(res)
return list(solset)
def createParseTable(statesDict, stateMap, T, NT):
global separatedRulesList, diction
# create rows and cols
rows = list(statesDict.keys())
cols = T+['$']+NT
# create empty table
Table = []
tempRow = []
for y in range(len(cols)):
tempRow.append('')
for x in range(len(rows)):
Table.append(copy.deepcopy(tempRow))
# make shift and GOTO entries in table
for entry in stateMap:
state = entry[0]
symbol = entry[1]
# get index
a = rows.index(state)
b = cols.index(symbol)
if symbol in NT:
Table[a][b] = Table[a][b]\
+ f"{stateMap[entry]} "
elif symbol in T:
Table[a][b] = Table[a][b]\
+ f"S{stateMap[entry]} "
# start REDUCE procedure
# number the separated rules
numbered = {}
key_count = 0
for rule in separatedRulesList:
tempRule = copy.deepcopy(rule)
tempRule[1].remove('.')
numbered[key_count] = tempRule
key_count += 1
# start REDUCE procedure
# format for follow computation
addedR = f"{separatedRulesList[0][0]} -> " \
f"{separatedRulesList[0][1][1]}"
rules.insert(0, addedR)
for rule in rules:
k = rule.split("->")
# remove un-necessary spaces
k[0] = k[0].strip()
k[1] = k[1].strip()
rhs = k[1]
multirhs = rhs.split('|')
# remove un-necessary spaces
for i in range(len(multirhs)):
multirhs[i] = multirhs[i].strip()
multirhs[i] = multirhs[i].split()
diction[k[0]] = multirhs
# find 'handle' items and calculate follow.
for stateno in statesDict:
for rule in statesDict[stateno]:
if rule[1][-1] == '.':
# match the item
temp2 = copy.deepcopy(rule)
temp2[1].remove('.')
for key in numbered:
if numbered[key] == temp2:
# put Rn in those ACTION symbol columns,
# who are in the follow of
# LHS of current Item.
follow_result = follow(rule[0])
for col in follow_result:
index = cols.index(col)
if key == 0:
Table[stateno][index] = "Accept"
else:
Table[stateno][index] =\
Table[stateno][index]+f"R{key} "
# printing table
print("\nSLR(1) parsing table:\n")
frmt = "{:>8}" * len(cols)
print(" ", frmt.format(*cols), "\n")
ptr = 0
j = 0
for y in Table:
frmt1 = "{:>8}" * len(y)
print(f"{{:>3}} {frmt1.format(*y)}"
.format('I'+str(j)))
j += 1
def printResult(rules):
for rule in rules:
print(f"{rule[0]} ->"
f" {' '.join(rule[1])}")
def printAllGOTO(diction):
for itr in diction:
print(f"GOTO ( I{itr[0]} ,"
f" {itr[1]} ) = I{stateMap[itr]}")
# *** MAIN *** - Driver Code
# uncomment any rules set to test code
# follow given format to add -
# user defined grammar rule set
# rules section - *START*
# example sample set 01
rules = ["E -> E + T | T",
"T -> T * F | F",
"F -> ( E ) | id"
]
nonterm_userdef = ['E', 'T', 'F']
term_userdef = ['id', '+', '*', '(', ')']
start_symbol = nonterm_userdef[0]
# example sample set 02
# rules = ["S -> a X d | b Y d | a Y e | b X e",
# "X -> c",
# "Y -> c"
# ]
# nonterm_userdef = ['S','X','Y']
# term_userdef = ['a','b','c','d','e']
# start_symbol = nonterm_userdef[0]
# rules section - *END*
print("\nOriginal grammar input:\n")
for y in rules:
print(y)
# print processed rules
print("\nGrammar after Augmentation: \n")
separatedRulesList = \
grammarAugmentation(rules,
nonterm_userdef,
start_symbol)
printResult(separatedRulesList)
# find closure
start_symbol = separatedRulesList[0][0]
print("\nCalculated closure: I0\n")
I0 = findClosure(0, start_symbol)
printResult(I0)
# use statesDict to store the states
# use stateMap to store GOTOs
statesDict = {}
stateMap = {}
# add first state to statesDict
# and maintain stateCount
# - for newState generation
statesDict[0] = I0
stateCount = 0
# computing states by GOTO
generateStates(statesDict)
# print goto states
print("\nStates Generated: \n")
for st in statesDict:
print(f"State = I{st}")
printResult(statesDict[st])
print()
print("Result of GOTO computation:\n")
printAllGOTO(stateMap)
# "follow computation" for making REDUCE entries
diction = {}
# call createParseTable function
createParseTable(statesDict, stateMap,
term_userdef,
nonterm_userdef)
Output:
Original grammar input:
E -> E + T | T
T -> T * F | F
F -> ( E ) | id
Grammar after Augmentation:
E' -> . E
E -> . E + T
E -> . T
T -> . T * F
T -> . F
F -> . ( E )
F -> . id
Calculated closure: I0
E' -> . E
E -> . E + T
E -> . T
T -> . T * F
T -> . F
F -> . ( E )
F -> . id
States Generated:
State = I0
E' -> . E
E -> . E + T
E -> . T
T -> . T * F
T -> . F
F -> . ( E )
F -> . id
State = I1
E' -> E .
E -> E . + T
State = I2
E -> T .
T -> T . * F
State = I3
T -> F .
State = I4
F -> ( . E )
E -> . E + T
E -> . T
T -> . T * F
T -> . F
F -> . ( E )
F -> . id
State = I5
F -> id .
State = I6
E -> E + . T
T -> . T * F
T -> . F
F -> . ( E )
F -> . id
State = I7
T -> T * . F
F -> . ( E )
F -> . id
State = I8
F -> ( E . )
E -> E . + T
State = I9
E -> E + T .
T -> T . * F
State = I10
T -> T * F .
State = I11
F -> ( E ) .
Result of GOTO computation:
GOTO ( I0 , E ) = I1
GOTO ( I0 , T ) = I2
GOTO ( I0 , F ) = I3
GOTO ( I0 , ( ) = I4
GOTO ( I0 , id ) = I5
GOTO ( I1 , + ) = I6
GOTO ( I2 , * ) = I7
GOTO ( I4 , E ) = I8
GOTO ( I4 , T ) = I2
GOTO ( I4 , F ) = I3
GOTO ( I4 , ( ) = I4
GOTO ( I4 , id ) = I5
GOTO ( I6 , T ) = I9
GOTO ( I6 , F ) = I3
GOTO ( I6 , ( ) = I4
GOTO ( I6 , id ) = I5
GOTO ( I7 , F ) = I10
GOTO ( I7 , ( ) = I4
GOTO ( I7 , id ) = I5
GOTO ( I8 , ) ) = I11
GOTO ( I8 , + ) = I6
GOTO ( I9 , * ) = I7
SLR(1) parsing table:
id + * ( ) $ E T F
I0 S5 S4 1 2 3
I1 S6 Accept
I2 R2 S7 R2 R2
I3 R4 R4 R4 R4
I4 S5 S4 8 2 3
I5 R6 R6 R6 R6
I6 S5 S4 9 3
I7 S5 S4 10
I8 S6 S11
I9 R1 S7 R1 R1
I10 R3 R3 R3 R3
I11 R5 R5 R5 R5
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a sorted and rotated array, vector rbegin() and rend() Functions in C++ STL, array::cbegin() and array::cend() in C++ STL, PHP Tutorial, jQWidgets jqxTreeMap showLegend Property, jQWidgets jqxScrollView animationDuration Property, unordered_multiset end() function in C++ STL, How to Sort an Array Having Optional Properties in TypeScript ?, unordered_multimap find() function in C++ STL | GeeksforGeeks | [0.0101987477, 0.005103915, -0.0107527319, 0.0347284153, -0.0218868945, -0.00587585941, 0.028680006, 0.0497677103, 0.0107618133, 0.0562702082, 0.0175821688, -0.00449544098, 0.0326577909, -0.0330392197, 0.00422071945, 0.0371804759, 0.00568060298, 0.0174731892, -0.0224681236, -0.0168374702, 0.021541791, -0.0103440555, -0.0441733859, 0.0177002307, -0.0100080324, 0.00301739457, -0.0097719077, 0.00658423174, 0.00712913368, -0.0231401697, 0.00415487727, 0.0187809542, 0.0342743322, -0.0291704182, 0.010816304, 0.00407314207, 0.0207062736, -0.00524014048, -0.0305145085, 0.040068455, 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27 Sep, 2024 | Difference Between Native Compiler and Cross Compiler
27 Sep, 2024
Compilers are essential tools in software development, helping to convert high-level programming languages into machine-readable code. Among various types of compilers, native and cross-compilers are commonly used for different purposes. This article explains the difference between a native compiler and a cross compiler, shedding light on their functions and use cases.
What is a Native Compiler?
Native compilers generate code for the same platform on which it runs. It converts high language into the computer’s native language. For example, Turbo C or GCC compiler. if a compiler runs on a Windows machine and produces executable code for Windows, it is a native compiler. Native compilers are widely used because they can optimize code for the specific processor and operating system of the host machine, resulting in faster and more efficient code execution. They are also easier to use since they don’t require any additional setup or configuration.
How do Native Compilers Work?
Native compilers work by analyzing the source code and generating machine code that is specific to the processor and operating system of the host machine. They can perform various optimizations, such as loop unrolling, function inlining, and instruction scheduling, to produce code that executes faster and more efficiently.
Advantages
Native compilers produce highly optimized code that can run very quickly on the same system.
They are easy to set up and use since they don’t require any additional tools or software.
Native compilers are usually more efficient in terms of memory usage than cross-compilers.
Disadvantages
Native compilers are limited to the hardware and operating system on which they are running. This means that they cannot be used to compile code for other platforms.
They are not suitable for cross-platform development, which requires the ability to compile code for different hardware and operating systems.
What is Cross compiler?
A cross-compiler is a compiler that generates executable code for a platform other than the one on which the compiler is running. For example, a compiler that runs on Linux/x86 box is building a program that will run on a separate Arduino/ARM. if a compiler runs on a Linux machine and produces executable code for Windows, then it is a cross-compiler. Cross compilers are typically used in embedded systems or when targeting platforms that are not available on the host machine. They are more difficult to set up and use than native compilers because they require additional configuration and libraries to generate code for the target platform.
How do Cross Compilers Work?
Cross-compilers operate by examining the source code and producing machine code tailored for a different processor and/or operating system than that of the compilation host. These compilers facilitate the development of software for platforms distinct from the one on which the compilation occurs. Similar to native compilers, cross-compilers can implement optimizations like loop unrolling, function inlining, and instruction scheduling to enhance the performance and efficiency of the generated code for the target system.
Advantages
Cross-compilers can be used to develop software for multiple platforms.
They can optimize code for a specific platform, even if the development environment is different.
Cross compilers are often used in embedded systems development, where resources are limited.
Disadvantages
Cross compilers can be complex to set up and use, and require additional software and tools.
They may not be as efficient as native compilers in terms of memory usage.
Cross compilers require the developer to have a good understanding of the target system’s hardware and operating system.
Difference Between Native Compiler and Cross Compiler
Native Compiler
Cross Compiler
Translates program for same hardware/platform/machine on it is running.
Translates program for different hardware/platform/machine other than the platform which it is running.
It is used to build programs for same system/machine & OS it is installed.
It is used to build programs for other system/machine like AVR/ARM.
It is dependent on System/machine and OS.
It is independent of System/machine and OS.
It can generate executable file like .exe
It can generate raw code .hex
Generates machine code for the same platform it’s running on.
Generates machine code for a different platform than it’s running on.
Turbo C or GCC is native Compiler.
Keil is a cross compiler.
Used for development and testing on the same system.
Used for cross-platform development, porting, and cross-compiling.
Example :- GCC compiler on a Linux machine.
Example:- ARM compiler on a Windows machine for compiling code for a Raspberry Pi.
Conclusion
In summary, native compilers and cross compilers serve different purposes in software development. Native compilers are designed for use on the same system and produce highly optimized code, while cross compilers are used to develop software for multiple platforms. Each has its advantages and disadvantages, and the choice of which one to use depends on the specific needs of the development project.
Difference Between Native compiler and Cross Compiler – FAQs
What is the main application of native compiler?
Native compilers are usually employed with applications developed for the Windows or Linux desktops or server environment in which the application is to run.
When would a developer decide to use a cross compiler?
Cross compilers are employed by developers when they wish to compile their source code for a distinct platform or architecture, for example, to build programs for a specific electronic device, for example, an embedded system, a mobile device or a custom built piece of hardware.
Is it possible for a cross compiler to create work that will be functional in different systems?
However, a cross compiler generally compiles code for one target architecture. Thus if you wanted to build for multiple platforms then you would require cross compilers for each of the platforms.
When using native and cross compilers is there any kind of performance difference in the executable produced?
The time taken by the executable to run depends on the target platform of the computer through which it is run and the optimization level of the compiler. Optimization may be better done on a native compiler as they directly compile code for the system, however a cross compiler configured properly can also deliver the best optimized code for an another architecture.
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17 Jan, 2023 | Difference between native, host and user objects
17 Jan, 2023
JavaScript objects are broadly classified into the following categories: native javascript objects, user objects, and host javascript objects.
Native objects: Native javascript objects are standard javascript objects which are provided by javascript itself. They are also known as built-in objects, pre-defined objects, or global objects. In JavaScript, native objects are objects that are built into the JavaScript language. These include objects like Array, Date, Math, and Object, as well as many others. Native objects are a fundamental part of the language and are always available to use in your code.
Example:
Javascript
<script>
// Native object: Array
let arr = [1, 2, 3];
console.log(arr);
</script>
Output:
Host objects: These are objects that are provided by the environment in which JavaScript is running. For example, if you are running JavaScript in a web browser, the window object and the document object are host objects. If you are running JavaScript in a Node.js server, the process object is a host object. Host objects are not part of the JavaScript language itself, but are provided by the environment in which the code is running.
Example:
Javascript
<script>
// Host object: window
let window = window;
console.log(window);
</script>
Output:
User objects: These are objects that you create in your own code. These can be objects that you create using the Object constructor or using any of the other built-in object constructors (such as Array, Date, etc.). User objects are objects that you define and create in your own code, as opposed to being provided by the language or the environment.
Example:
Javascript
// User object: object created using object literal
let myObject = {
name: "John",
age: 30
};
console.log(myObject); // Output: { name: "John", age: 30 }
Output:
Main differences between native, host, and user objects in JavaScript:
Property
Native Objects
Host Objects
User Objects
Definition
Built into the JavaScript language and provided by the runtime environment
Provided by the host environment in which JavaScript is running
Created by the user using JavaScript code
Examples
Array, String, Math, global object
window, document, XMLHttpRequest (in a web browser)
Custom objects created using object literals, constructor functions, or class syntax
Method of creation
Created automatically by the runtime environment
Provided by the host environment
Created by the user using JavaScript code
Availability
Available in all JavaScript environments
Dependent on the host environment
Dependent on the user’s code
Modifiability
Cannot be modified
Maybe modifiable depending on the host environment
Can be modified by the user
Inheritance
Can be inherited using prototypal inheritance
May not be inheritable
Can be inherited using prototypal inheritance
Standardization
Part of the official JavaScript language specification
May not be part of the official JavaScript language specification
Not part of the official JavaScript language specification
Compatibility
Consistently available and compatible across all JavaScript environments
May not be consistently available or compatible across all JavaScript environments
May not be consistently available or compatible across all JavaScript environments
Native objects are an essential part of the JavaScript language and are always available to use in your code. Host objects are provided by the environment in which the code is running and may vary depending on the environment. User objects are objects that you create yourself in your own code.
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enableHover Property/jQWidgets jqxTabs enabledHover Property/jQWidgets jqxTabs position Property/jQWidgets jqxTabs keyboardNavigation Property/jQWidgets jqxTabs contentTransitionDuration Property/jQWidgets jqxTabs disabled Property/jQWidgets jqxSortable disabled Property/jQWidgets jqxSortable opacity Property/jQWidgets jqxTooltip opacity Property/jQWidgets jqxTooltip height Property/jQWidgets jqxToolBar height Property/jQWidgets jqxToolBar close Event/jQWidgets jqxToolBar tools Property/jQWidgets jqxToolBar theme Property/jQWidgets jqxToolBar rtl Property/jQWidgets jqxScrollBar rtl Property/jQWidgets jqxScrollBar step Property/jQWidgets jqxScrollBar theme Property/jQWidgets jqxScrollBar showButtons Property/jQWidgets jqxScrollBar disabled Property/jQWidgets jqxScrollView disabled Property/jQWidgets jqxScrollView slideDuration Property/jQWidgets jqxScrollView showButtons Property/jQWidgets jqxScrollView moveThreshold Property/jQWidgets jqxScrollView refresh() Method/jQWidgets jqxScrollView animationDuration Property/jQWidgets jqxScrollView buttonsOffset Property/jQWidgets jqxSlider buttonsPosition Property/jQWidgets jqxSlider rtl Property/jQWidgets jqxSlider height Property/jQWidgets jqxSplitter height Property/jQWidgets jqxSplitter destroy() Method/jQWidgets jqxSplitter width Property/jQWidgets jqxSplitter orientation Property/jQWidgets jqxSwitchButton orientation Property/jQWidgets jqxSwitchButton enable() Method/jQWidgets jqxSwitchButton onLabel Property/How to declare a module in TypeScript ?/How to Declare Optional Properties in TypeScript ?/TypeScript Optional Parameters/How to Make a Single Property Optional in TypeScript ?/How to Sort an Array Having Optional Properties in TypeScript ?/How to use Optional Chaining with Arrays and Functions in TypeScript ?/Optional Property Class in TypeScript/Introduction to TypeScript/Difference between Flow and TypeScript/Difference Between Flow Control and Error Control/What are Issues in Flow Control Related to 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List of Pairs in C++/Difference between std::set::lower_bound and std::lower_bound in C++/Difference between std::set vs std::vector in C++ STL/std::minmax() and std::minmax_element() in C++ STL/std::rotate vs std::rotate_copy in C++ STL/std::bitset::to_ullong and std::bitset::to_ulong in C++ STL/std::upper_bound and std::lower_bound for Vector in C++ STL/std::fixed, std::scientific, std::hexfloat, std::defaultfloat in C++/std::string::append vs std::string::push_back() vs Operator += in C++/Vector push_back() in C++ STL/vector :: cbegin() and vector :: cend() in C++ STL/unordered_multiset cend() function in C++ STL/unordered_multiset bucket() function in C++ STL/unordered_multiset emplace_hint() function in C++ STL/unordered_multiset end() function in C++ STL/unordered_multiset size() in C++ STL/unordered_multiset emplace() function in C++ STL/unordered_multiset find() function in C++STL/unordered_multiset erase() function in C++ STL/unordered_multiset clear() function in C++ 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C++ STL/multiset::emplace() in C++ STL/multiset find() function in C++ STL/multiset cbegin() and cend() function in C++ STL/multimap::cbegin() and multimap::cend() in C++ STL/multimap::begin() and multimap::end() in C++ STL/set::begin() and set::end() in C++ STL/unordered_multimap begin() and end() function in C++ STL/unordered_multimap empty() function in C++ STL/unordered_multimap find() function in C++ STL/unordered_multimap equal_range() function in C++ STL/unordered_multimap bucket_count() function in C++ STL/unordered_multimap bucket_size() function in C++ STL/unordered_multimap operator= in C++/unordered_multimap load_factor() function in C++ STL/unordered_map load_factor in C++ STL/unordered_map operator= in C++ STL/unordered_map swap in C++ STL/unordered_map rehash in C++ STL/unordered_map max_size in C++ STL/forward_list max_size() in C++ STL with Examples/list max_size() function in C++ STL/multiset max_size() in C++ STL with Examples/unordered_multimap max_size() function in C++ STL/unordered_multimap bucket() function in C++ STL/unordered_multimap rehash() function in C++ STL/unordered_multiset rehash() function in C++ STL/unordered_multiset key_eq() function in C++ STL/unordered_map key_eq() function in C++ STL/unordered_map max_bucket_count in C++ STL/unordered_map end( ) function in C++ STL/unordered_map emplace_hint() function in C++ STL/unordered_set emplace_hint() function in C++ STL/unordered_set swap() function in C++ STL/unordered_set begin() function in C++ STL/unordered_set end() in C++ STL/unordered_set cend() function in C++ STL/unordered_map cend in C++ STL/list cbegin() and cend() function in C++ STL/list crbegin() and crend() function in C++ STL/deque crend in C++ STL/multimap::crbegin() and multimap::crend() in C++ STL/deque crbegin in C++ STL/deque cbegin() in C++ STL/deque::emplace_front() and deque::emplace_back() in C++ STL/deque::begin() and deque::end in C++ STL/multiset begin() and end() function in C++ STL/match_results begin() and end() function in C++ STL/match_results prefix() and suffix() in C++/C++ Program to Implement Suffix Array/C/C++ program to implement the cricket game/C++ Program to Implement Circular Queue/C++ Program to Check if a string can be formed from another string by at most X circular clockwise shifts/Find array sum using Bitwise OR after splitting given array in two halves after K circular shifts/Check if a string can be formed from another string by at most X circular clockwise shifts/Cyclic shifts of integer N by another integer m/Python3 Program to Find array sum using Bitwise OR after splitting given array in two halves after K circular shifts/Java Program for Check if a string can be formed from another string by at most X circular clockwise shifts/Java Program to Find array sum using Bitwise OR after splitting given array in two halves after K circular shifts/Java Program for Given a sorted and rotated array, find if there is a pair with a given sum/C# Program for Search an element in a sorted and rotated array/Search in a Sorted and Rotated Array/PHP Program for Search an element in a sorted and rotated array/Check if an array is sorted and rotated using Binary Search/Longest Common Prefix using Binary Search/Java Program To Find Longest Common Prefix Using Sorting/Find minimum shift for longest common prefix/Longest Common Prefix using Word by Word Matching/Longest Common Prefix using Divide and Conquer Algorithm/Introduction to Divide and Conquer Algorithm/Divide and Conquer Algorithm////////////////////////////////////////////////////////////////////////////////////////////////////////////Propositional Logic/Digital Logic and Design – GATE CSE Previous Year Questions/Database Management System – GATE CSE Previous Year Questions/Computer Networks – GATE CSE Previous Year Questions/Compiler Design – GATE CSE Previous Year Questions/Compiler Theory | Set 2/Phases of a Compiler/Shift Reduce Parser in Compiler/LR Parser/Recursive Descent Parser/SLR Parser (with Examples)/CLR Parser (with Examples)/Compiler Design SLR(1) Parser Using Python/Difference Between Native Compiler and Cross Compiler/Difference between native, host and user objects | https://www.geeksforgeeks.org/difference-between-native-host-and-user-objects?ref=asr10 | PHP | Difference between native, host and user objects | , unordered_multiset clear() function in C++ STL, What is SSL, Optional Property Class in TypeScript, jQWidgets jqxScrollBar step Property, unordered_map max_size in C++ STL, jQWidgets jqxTreeMap width Property, Round Robin Scheduling Algorithm with Different Arrival Time, Difference between Flow and TypeScript, set::begin() and set::end() in C++ STL, unordered_multiset emplace() function in C++ STL, jQWidgets jqxTree destroy() Method, Check if a string can be formed from another string by at most X circular clockwise shifts, unordered_set bucket_count() function in C++ STL, unordered_map load_factor in C++ STL, jQWidgets jqxTree collapseAll() Method, 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function in C++ STL, Phases of a Compiler, Shift Reduce Parser in Compiler, unordered_multiset bucket_count() function in C++ STL, deque crbegin in C++ STL, unordered_multiset find() function in C++STL, unordered_multimap bucket_count() function in C++ STL, unordered_multiset bucket() function in C++ STL, Impact of Three-way Handshake and Slow Start Algorithm, array::rbegin() and array::rend() in C++ STL, multimap value_comp() function in C++ STL, C++ Program to Implement Suffix Array, How to declare a module in TypeScript ?, Node.js date-and-time Date.isLeapYear() Method, jQWidgets jqxTreeMap selectionEnabled Property, jQWidgets jqxSplitter orientation Property, Search in a Sorted and Rotated Array, match_results begin() and end() function in C++ STL, unordered_multimap load_factor() function in C++ STL, multiset::emplace() in C++ STL, Divide and Conquer Algorithm, unordered_set equal_range in C++ STL, jQWidgets jqxSwitchButton orientation Property, SSL vs HTTPS – Which One is More Secure?, unordered_multimap equal_range() function in C++ STL, Database Management System – GATE CSE Previous Year Questions, unordered_set count() function in C++ STL, PHP Program for Search an element in a sorted and rotated array, vector rbegin() and rend() Functions in C++ STL, array::cbegin() and array::cend() in C++ STL, PHP Tutorial, jQWidgets jqxTreeMap showLegend Property, jQWidgets jqxScrollView animationDuration Property, unordered_multiset end() function in C++ STL, How to Sort an Array Having Optional Properties in TypeScript ?, unordered_multimap find() function in C++ STL | GeeksforGeeks | [-0.019383885, 0.024205884, -0.0204386972, 0.0368773267, 0.00377746043, -0.000201309012, -0.00699326722, -0.0120344479, -0.00898645166, -0.0054042, 0.0257264562, -0.0102741439, -0.0254113823, -0.0213839188, -0.00891110767, -0.0109111415, -0.0358910114, 0.00754807144, -0.005092551, -0.0105481213, 0.00512679806, 0.00375348725, -0.0185619537, -0.0140687283, -0.0167811029, 0.0201647207, 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29 Jul, 2024 | Difference Between Host and Guest Operating System
29 Jul, 2024
An Operating System (OS) can be defined as a mediator, which works between the software & hardware of a computer The common task of OS includes memory management, managing different resources, device management, file handling, and others. Examples of some popular OS are Linux, MacOS, and Windows.
In this article, we will see the difference between a Host Operating System and a Guest Operating System. First of all, it’s important to understand what the host and guest operating systems are. Let us take the introduction to them one by one.
Host Operating System
A host operating system is a piece of software that runs on a computer and allows it to communicate with its hardware. It has the ability to run a type 2 hypervisor. Type 2 hypervisors, in other words, run on the host operating system.
Container-based virtualization may also be used by the host OS. The logical partitioning of server programs is aided by the use of containers. As a result, containers can be used without requiring each application to have its own operating system. It enables apps to share the operating system kernel while accessing distinct hardware resources. This form of the shared operating system is also known as a host operating system.
A single physical server can be separated into numerous virtual machines, which are separate pieces of hardware with loads of processing, storage, network capacity, and memory, thanks to virtualization. When it comes to sharing resources between the host and guest operating systems, virtualization is more efficient and less expensive.
Features of Host Operating System
Hardware Abstraction: Host OS enables communication between software and hardware using a common language.
Resource Management: Host OS efficiently manages CPU, memory, and disk space allocation among running programs.
File System Management: Host OS organizes and maintains files and folders for easy access and structured data storage.
Security: Host OS implements locks, firewalls, and safeguards to protect against unauthorized access and malware.
Device Driver Support: Host OS enables effective communication between software and hardware through driver support.
User Interface: Host OS provides a user-friendly interface, either through a visual interface or command-line interface.
Networking: Host OS manages network connections, allowing devices to communicate and share data over the internet.
Guest Operating System
Hypervisors of type 2 can produce several Virtual Machines. Each computer has its own operating system, which is referred to as the guest OS. In other words, a guest OS is a piece of software that runs inside a virtual machine. As a result, the guest operating system is run by a virtual machine. In virtualization, the guest operating system differs from the host operating system in numerous respects, and it can be used as a portioned system component or a virtual machine part. It’s primarily used for apps that run on a different operating system.
While the visitor and host operating systems share resources, their operations are completely separate. Although it is possible for these operating systems to run in parallel, the host operating system should be started first. Running applications and programs that are incompatible with the host OS is one of the main benefits of using a guest OS.
Features of Guest Operating System
Application Support: Guest OS runs applications in the virtual environment.
Hardware Abstraction: Guest OS mediates between applications and hardware using standardized interfaces.
Resource Management: Guest OS efficiently manages system resources in the virtual environment.
Device Driver Support: Guest OS includes drivers for communication with virtual hardware.
Virtualization Support: Guest OS is designed for virtualized environments and manages virtual machines.
Key Differences
The main distinctions between the Host OS and the Guest OS are explained here. The following are some of the major differences between the host and guest operating systems:
A host operating system is a piece of software that runs on a computer and connects with the hardware. A guest OS, on the other hand, is software that is installed on a virtual computer.
It’s possible that the host OS is a single one. The guest OS can be single or numerous.
The host OS runs on the hardware directly. The guest OS runs on a virtual machine.
Feature-Based Comparison
The following are some examples of head-to-head comparisons between the host OS and the guest OS:
Features
Guest Operating System
Host Operating System
Definition
A guest operating system is a piece of software that runs inside a virtual computer.
A host operating system is a piece of software that runs on a computer and connects with the hardware.
Resource Management:
the guest operating system is responsible for managing its own resources inside the virtual machine.
The host operating system is responsible for managing system resources such as memory, CPU, and disk space
Compatibility
the guest operating system must be compatible with the virtual machine software and hardware abstraction layer provided by the host operating system.
The host operating system must be compatible with the physical hardware or virtual machine,
Purpose
the guest operating system is a secondary operating system that runs inside the virtual machine.
The host operating system is the primary operating system that runs on the physical hardware or virtual machine,
Control
the guest operating system only has control over the virtual resources provided by the virtual machine.
The host operating system has complete control over the physical hardware or virtual machine,
Execution
It executes on a virtual machine
It executes directly on the hardware
Functionality
The guest operating system interacts with the virtual machine.
The host operating system interacts with the hardware.
Quantity
It is possible for the guest OS to be several or single.
It’s possible that the host OS is all-in-one.
Operating system on computer
It is secondary to the originally installed operating system on a computer,
Host operating systems use container-based virtualization
Uses
It is used to run more than one application requiring different operating system on the same hardware.
It helps to partition the application in a server
Conclusion
In summary, a guest operating system resides within a virtual machine (VM), managing its own resources. It interacts with the VM and runs multiple applications requiring different OS on the same hardware. On the other hand, the host operating system runs directly on physical hardware, managing system resources and interacting with the hardware. It helps partition applications in a server environment.
Difference Between Host and Guest Operating System – FAQs
What characterizes a guest operating system?
A guest OS operates within a virtualized environment, independent of the host OS, providing an OS for applications in virtual machines (VMs).
How do resource allocations differ between host and guest OSs?
While the host OS allocates resources based on priority and demand, the guest OS shares resources within VMs.
What role does the host OS play in virtualization?
The host OS serves as the foundation for VMs, managing hardware resources and enabling guest OS execution.
Why are host OSs essential?
Host OSs ensure efficient resource management and system stability, supporting everyday computing tasks and VM execution.
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26 Apr, 2023 | Xv6 Operating System -adding a new system call
26 Apr, 2023
Prerequisite – Xv6 Operating System -add a user program
In last post we got to know how to add user program in Xv6 Operating System. Now here you will see how to add new system call in Xv6 Operating System. A
dding new system call to xv6: A system call is way for programs to interact with operating system. A computer program makes system call when it makes request to operating system’s kernel. System calls are used for hardware services, to create or execute processes, and for communicating with kernel services, including application and process scheduling.
Overview: You are going to implement system call called getyear which will return 1975 from kernel always. Unix version 6 was released in that year. In order to define your own system call in xv6, you need to make changes to 5 files. Namely, these files are as follows.
Create system call to return year Unix version 6 was released: You could start working from syscall.h file where the number is assigned to every system call in this Xv6 system. As you can see, there are 21 system calls already defined in this file. Let’s go ahead and add the following line to the reserver system call number for your own system call.
#define SYS_getyear 22
Next, you need to add pointer to system call in syscall.c file. This file contains an array of function pointers which uses above-defined numbers (indexes) as pointers to system calls which are defined in different location. In order to add your custom system call, add following line to this file.
[SYS_getyear] sys_getyear
What changes happen here ? This means, when system call occurred with system call number 22, function pointed by function pointer sys_getyear will be called. So, you have to implement this function. However, this file is not place you are going to implement it. You will just put function prototype here inside this file. So, find suitable place inside this file and add following line. You can see that all other 21 system call functions are defined similarly. The function prototype which needs to be added to syscall.c file is as follows.
extern int sys_getyear(void)
Next, you will implement system call function. In order to do this, open sysproc.c file where system call functions are defined.
//return the year of which
//Unix version 6 was released
int
sys_getyear(void)
{
return 1975;
}
Now you have just two little files to edit and these files will contain interface for your user program to access system call. Open file called usys.S and add line below at the end.
SYSCALL(getyear)
Next,open file called user.h and add following line. This is function that user program will be calling. As you know now, there’s no such function implemented in system. Instead, call to below function from user program will be simply mapped to system call number 22 which is defined as SYS_getyear preprocessor directive. The system knows what exactly is this system call and how to handle it.
int getyear(void);
If you have completed all above procedure, you have successfully added new system call to xv6. However, in order to test functionality of this, you would need to add user program which calls this system call. The user program could be as follows:
#include "types.h"
#include "stat.h"
#include "user.h"
int main(void)
{
printf(1, "Note: Unix V6 was released in year %d\n", getyear());
exit();
}
In order to add this user program to xv6, you need to follow above steps for adding user program. At last, run user program in qemu window which can be obtained by running command make qemu on terminal. After executing everything successfully, you will get on terminal. Output:
"Note:Unix V6 was released in year 1975"
Xv6 is a simple Unix-like operating system used for educational purposes. Adding a new system call to Xv6 requires modifying the kernel code and adding a new entry to the system call table. Here are the high-level steps involved:
Define the new system call: Define the new system call by creating a new function in the kernel code. The function should take the necessary arguments and return the required value. The function should also check for any errors and return an appropriate error code.
Add the system call number: Choose a unique system call number for the new system call and add it to the system call table in the kernel code. This table is typically defined in the file syscall.h.
Modify the system call dispatcher: Modify the system call dispatcher function in the kernel code to handle the new system call. The dispatcher function reads the system call number from the process’s register and calls the corresponding system call function.
Add the user-level interface: Add a user-level interface to the new system call by adding a new entry to the system call library in the file usys.S. This entry should call the system call with the appropriate arguments and return the result.
Modify the user-level program: Modify the user-level program to use the new system call by including the header file that defines the new system call and calling the system call function with the appropriate arguments.
Build and test: Build the Xv6 kernel and user-level programs and test the new system call to ensure that it works correctly.
Adding a new system call to Xv6 can be a challenging task, as it requires a good understanding of the operating system’s architecture and programming in C. However, it can also be a valuable learning experience for students interested in operating system design and implementation.
xv6 is a simple Unix-like operating system designed for teaching purposes. Adding a new system call to xv6 involves modifying several components of the operating system, including the system call interface, system call dispatching mechanism, and the kernel code that implements the new system call.
Here are the general steps to add a new system call to xv6:
Define the system call interface: The first step is to define the interface for the new system call, including its name, arguments, and return value. This information should be added to the syscall.h header file.
Assign a system call number: Next, assign a unique number to the new system call. This number should be added to the syscall.h header file, as well as to the syscall() function in the syscall.c file.
Modify the system call dispatcher: The system call dispatcher is responsible for determining which system call to execute based on the system call number passed by the user program. This mechanism should be updated to handle the new system call number.
Implement the new system call: The final step is to implement the new system call in the kernel code. This involves modifying the appropriate kernel function to handle the new system call and adding any necessary data structures or helper functions.
Once these steps are completed, the modified xv6 operating system can be recompiled and tested to ensure that the new system call is functioning as expected.
It is worth noting that adding a new system call to xv6 is a complex task that requires a deep understanding of operating system design and implementation. It is recommended to consult the xv6 documentation and other relevant resources before attempting to add a new system call.
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13 Oct, 2023 | Code for Fork System Call in OS
13 Oct, 2023
Fork is a system call in the Operating System used to create a copy of the process, the copied process created is known as the child process. The main process or the process from which the child process is created is known as the parent process. The parent and child processes are in separate address spaces in fork(). A Child process will have its Process ID different from the parent's ID.
Primary Terminologies related to Fork System Call in OSProcess: The task or job performed by the computer. Example: running a program.
System call: A system call is a way to shift between user mode and kernel node to access the Functionalities of Operating Systems.Child process: The child process is the new process that is created by the parent process. It is essentially a copy of the parent process, and A system inherits many of its attributes, such as code, data, and open files.Parent process: The parent process is the original process that initiates the creation of a new process. It serves as the starting point for the new processProcess ID (PID): Process ID is a special identification that OS assigns to every process. It returns an integer value.We use fork() one time in a parent (P) then a child process is created (C1) and there is also a parent process (P) present. Similarly, if we write fork again, here C1 becomes the parent and creates a new child process C2 and there is a parent process (C1) available. P also creates a child process (C3) and P is also present (P).
Example 1: Fork system call in OS
Example 2: Fork system call in OS
By observing, we can conclude:Total no. of child process generated will be: 2^n - 1.Total no of processes executed: 2^n. Here n is the number of times forks called.
Remember that child processes return 0, while parent processes return a positive value (probably +1) at the fork call.
Examples of Fork System call in OS1. Simple Fork:
C
#include <stdio.h>
#include <unistd.h>
int main() {
pid_t child_pid;
// Create a child process
child_pid = fork();
if (child_pid == 0) {
printf("Child process\n");
} else if (child_pid > 0) {
printf("Parent process\n");
} else {
perror("Fork failed");
}
return 0;
}
Output:
Fork example in linux OS2. Parent and Child Processes Printing with PIDs:
C
#include <stdio.h>
#include <unistd.h>
int main() {
pid_t child_pid;
// Create a child process
child_pid = fork();
if (child_pid == 0) {
printf("Child process: PID=%d\n", getpid());
} else if (child_pid > 0) {
printf("Parent process: PID=%d, Child PID=%d\n", getpid(), child_pid);
} else {
perror("Fork failed");
}
return 0;
}
Output:
Fork example in linux OS3. Forking Multiple Child Processes:
C
#include <stdio.h>
#include <unistd.h>
int main() {
int i;
for (i = 0; i < 3; i++) {
pid_t child_pid = fork();
if (child_pid == 0) {
printf("Child process %d: PID=%d\n", i + 1, getpid());
break; // Each child process should exit the loop
} else if (child_pid < 0) {
perror("Fork failed");
}
}
if (getpid() != 1) {
// This code is executed only by the parent process
printf("Parent process: PID=%d\n", getpid());
}
return 0;
}
Output:
Fork example in linux OSConclusionfork() system call is the fundamental tool that allows processes to duplicate themselves. It makes a copy of process in a separate memory space, it provides both child and parents a different process ID (PIDs) for identification. The uses of fork are multitasking, parallel processing and complex process structure.
Frequently Asked Questions (FAQ's)Question 1. How does 'fork()' work?Answer:
When a process calls fork, it creates duplicate of the process. Both processes continue executing from the same point but have their separate memory and resource.
Question 2. What's the difference between parent and child processes created by 'fork()' ?Answer:
They have different Process IDs (PIDs), and changes made in one process don't affect the other process.
Question 3. What are some common uses of 'fork()'?Answer:
Common uses of fork() are : Creating parallel processing, implementing multitasking and building complex process hierarchies.
Question 4. Can child processes also call 'fork()'?Answer:
Yes, child processes can call fork() which will create additional child processes.
Question 5. What are the values returned by 'fork()' and what they indicate?
Answer:
Fork can return 3 values 0, positive (maybe +1) or -1. In case of child process it will return 0 and for parent, it will return positive value. Otherwise if fork returns -1, it indicates failure typically due to resource limitations.
Question 6. The child process can run independently from the parent?
Answer:
Yes, the child process can run independently from the parent intentionally or unintentionally. Those processes that are runs even after their parent process has terminated or finished are known as Orphan processes.
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08 Jun, 2022 | Linux system call in Detail
08 Jun, 2022
A system call is a procedure that provides the interface between a process and the operating system. It is the way by which a computer program requests a service from the kernel of the operating system.
Different operating systems execute different system calls.
In Linux, making a system call involves transferring control from unprivileged user mode to privileged kernel mode; the details of this transfer vary from architecture to architecture. The libraries take care of collecting the system-call arguments and, if necessary, arranging those arguments in the special form necessary to make the system call.
System calls are divided into 5 categories mainly :
Process Control
File Management
Device Management
Information Maintenance
Communication
Process Control :
This system calls perform the task of process creation, process termination, etc.
The Linux System calls under this are fork() , exit() , exec().
fork()
A new process is created by the fork() system call.
A new process may be created with fork() without a new program being run-the new sub-process simply continues to execute exactly the same program that the first (parent) process was running.
It is one of the most widely used system calls under process management.
exit()
The exit() system call is used by a program to terminate its execution.
The operating system reclaims resources that were used by the process after the exit() system call.
exec()
A new program will start executing after a call to exec()
Running a new program does not require that a new process be created first: any process may call exec() at any time. The currently running program is immediately terminated, and the new program starts executing in the context of the existing process.
File Management :
File management system calls handle file manipulation jobs like creating a file, reading, and writing, etc. The Linux System calls under this are open(), read(), write(), close().
open():
It is the system call to open a file.
This system call just opens the file, to perform operations such as read and write, we need to execute different system call to perform the operations.
read():
This system call opens the file in reading mode
We can not edit the files with this system call.
Multiple processes can execute the read() system call on the same file simultaneously.
write():
This system call opens the file in writing mode
We can edit the files with this system call.
Multiple processes can not execute the write() system call on the same file simultaneously.
close():
This system call closes the opened file.
Device Management :
Device management does the job of device manipulation like reading from device buffers, writing into device buffers, etc. The Linux System calls under this is ioctl().
ioctl():
ioctl() is referred to as Input and Output Control.
ioctl is a system call for device-specific input/output operations and other operations which cannot be expressed by regular system calls.
Information Maintenance:
It handles information and its transfer between the OS and the user program. In addition, OS keeps the information about all its processes and system calls are used to access this information. The System calls under this are getpid(), alarm(), sleep().
getpid():
getpid stands for Get the Process ID.
The getpid() function shall return the process ID of the calling process.
The getpid() function shall always be successful and no return value is reserved to indicate an error.
alarm():
This system call sets an alarm clock for the delivery of a signal that when it has to be reached.
It arranges for a signal to be delivered to the calling process.
sleep():
This System call suspends the execution of the currently running process for some interval of time
Meanwhile, during this interval, another process is given chance to execute
Communication :
These types of system calls are specially used for inter-process communications.
Two models are used for inter-process communication
Message Passing(processes exchange messages with one another)
Shared memory(processes share memory region to communicate)
The system calls under this are pipe() , shmget() ,mmap().
pipe():
The pipe() system call is used to communicate between different Linux processes.
It is mainly used for inter-process communication.
The pipe() system function is used to open file descriptors.
shmget():
shmget stands for shared memory segment.
It is mainly used for Shared memory communication.
This system call is used to access the shared memory and access the messages in order to communicate with the process.
mmap():
This function call is used to map or unmap files or devices into memory.
The mmap() system call is responsible for mapping the content of the file to the virtual memory space of the process.
These are the various system calls involved in LINUX operating system.
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16 Jan, 2025 | Remote Procedure Call (RPC) in Operating System
16 Jan, 2025
Remote Procedure Call (RPC) is a powerful technique for constructing distributed, client-server based applications. It is based on extending the conventional local procedure calling so that the called procedure does not exist in the same address space as the calling procedure. The two processes may be on the same system, or they may be on different systems with a network connecting them.
What is Remote Procedure Call (RPC)?
Remote Procedure Call (RPC) is a type of technology used in computing to enable a program to request a service from software located on another computer in a network without needing to understand the network’s details. RPC abstracts the complexities of the network by allowing the developer to think in terms of function calls rather than network details, facilitating the process of making a piece of software distributed across different systems.
RPC works by allowing one program (a client) to directly call procedures (functions) on another machine (the server). The client makes a procedure call that appears to be local but is run on a remote machine. When an RPC is made, the calling arguments are packaged and transmitted across the network to the server. The server unpacks the arguments, performs the desired procedure, and sends the results back to the client.
Working of a RPC
1. A client invokes a client stub procedure, passing parameters in the usual way. The client stub resides within the client’s own address space.
2. The client stub marshalls(pack) the parameters into a message. Marshalling includes converting the representation of the parameters into a standard format, and copying each parameter into the message.
3. The client stub passes the message to the transport layer, which sends it to the remote server machine. On the server, the transport layer passes the message to a server stub, which demarshalls(unpack) the parameters and calls the desired server routine using the regular procedure call mechanism.
4. When the server procedure completes, it returns to the server stub (e.g., via a normal procedure call return), which marshalls the return values into a message.
5. The server stub then hands the message to the transport layer. The transport layer sends the result message back to the client transport layer, which hands the message back to the client stub.
6. The client stub demarshalls the return parameters and execution returns to the caller.
How to Make a Remote Procedure Call?
The calling environment is suspended, procedure parameters are transferred across the network to the environment where the procedure is to execute, and the procedure is executed there. When the procedure finishes and produces its results, its results are transferred back to the calling environment, where execution resumes as if returning from a regular procedure call.
Note : RPC is especially well suited for client-server (e.g. query-response) interaction in which the flow of control alternates between the caller and callee. Conceptually, the client and server do not both execute at the same time. Instead, the thread of execution jumps from the caller to the callee and then back again.
Types of RPC
Callback RPC: Callback RPC allows processes to act as both clients and servers. It helps with remote processing of interactive applications. The server gets a handle to the client, and the client waits during the callback. This type of RPC manages callback deadlocks and enables peer-to-peer communication between processes.
Broadcast RPC: In Broadcast RPC, a client’s request is sent to all servers on the network that can handle it. This type of RPC lets you specify that a client’s message should be broadcast. You can set up special broadcast ports. Broadcast RPC helps reduce the load on the network.
Batch-mode RPC: Batch-mode RPC collects multiple RPC requests on the client side and sends them to the server in one batch. This reduces the overhead of sending many separate requests. Batch-mode RPC works best for applications that don’t need to make calls very often. It requires a reliable way to send data.
What Does RPC do?
RPC stands for Remote Procedure Call. It lets a program on one computer use code on another computer as if it were on the same computer. When a program with RPC is made ready to run, it includes a helper part called a stub. This stub acts like the remote code. When the program runs and tries to use the remote code, the stub gets this request. It then sends it to another helper program on the same computer. The first time this happens, the helper program asks a special computer where to find the remote code.
The helper program then sends a message over the internet to the other computer, asking it to run the remote code. The other computer also has helper programs that work with the remote code. When the remote code is done, it sends the results back the same way. This whole process makes it seem like the remote code is running on the local computer, even though it’s actually running somewhere else.
Issues of the RPC
RPC Runtime: RPC run-time system is a library of routines and a set of services that handle the network communications that underlie the RPC mechanism. In the course of an RPC call, client-side and server-side run-time systems’ code handle binding, establish communications over an appropriate protocol, pass call data between the client and server, and handle communications errors.
Stub: The function of the stub is to provide transparency to the programmer-written application code. On the client side, the stub handles the interface between the client’s local procedure call and the run-time system, marshalling and unmarshalling data, invoking the RPC run-time protocol, and if requested, carrying out some of the binding steps.
On the server side, the stub provides a similar interface between the run-time system and the local manager procedures that are executed by the server.
Binding: The most flexible solution is to use dynamic binding and find the server at run time when the RPC is first made. The first time the client stub is invoked, it contacts a name server to determine the transport address at which the server resides. Binding consists of two parts
Naming: A Server having a service to offer exports an interface for it. Exporting an interface registers it with the system so that clients can use it.
Locating: A Client must import an (exported) interface before communication can begin.
The call semantics associated with RPC
Retry Request Message: Whether to retry sending a request message when a server has failed or the receiver didn’t receive the message.
Duplicate Filtering: Remove the duplicate server requests.
Retransmission of Results: To resend lost messages without re-executing the operations at the server side.
Advantages
Easy Communication: RPC lets clients talk to servers using normal procedure calls in high-level programming languages. This makes it simple for programmers to work with.
Hidden Complexity: RPC hides the details of how messages are sent between computers. This means programmers don’t need to worry about the underlying network communication.
Flexibility: RPC can be used in both local and distributed environments. This makes it versatile for different types of applications.
Disadvantages
Limited Parameter Passing: RPC can only pass parameters by value. It can’t pass pointers, which limits what can be sent between computers.
Slower Than Local Calls: Remote procedure calls take longer than local procedure calls because they involve network communication.
Vulnerable to Failures: RPC depends on network connections, other machines, and separate processes. This makes it more likely to fail than local procedure calls.
RPC vs REST
RPC and REST are two ways to make computer programs talk to each other over the internet. They’re different, but both are useful. RPC is good for some things, and REST is good for others. Some companies need RPC, while others prefer REST. Sometimes, developers use both RPC and REST in the same project, but not in the same part of the program. RPC is an old idea, but new versions like gRPC and DRPC are making it popular again. Developers are still using and improving these new types of RPC.
It’s hard to say which one is better – RPC or REST. They’re both good when used the right way. The best choice depends on what you’re trying to do with your program.
Conclusion
Remote Procedure Call (RPC) in operating systems allows programs to run functions on other computers as if they were on the same machine. It simplifies building distributed programs by hiding the complexities of network communication. RPC works by having the operating system handle the details of sending requests and receiving responses between computers.
While it makes programming easier and enables better use of multiple computers, RPC can be slower than local function calls and depends on network reliability. Despite these challenges, RPC remains a useful tool for creating systems that work across multiple computers, making it an important concept in modern operating systems.
Frequently Asked Questions on RPC – FAQs
What is RPC in simple terms?
RPC is like a phone call between computers. It lets a program on one computer use a function on another computer as if it were on the same machine.
Why is RPC useful in operating systems?
RPC makes it easier to create programs that work across multiple computers. It hides the complex details of network communication, so programmers can focus on writing their main code.
What’s a drawback of using RPC?
RPC can be slower than running functions on the same computer. This is because it takes time to send requests and receive responses over a network.
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24 Jan, 2025 | Introduction of System Call
24 Jan, 2025
A system call is a programmatic way in which a computer program requests a service from the kernel of the operating system it is executed on. A system call is a way for programs to interact with the operating system. A computer program makes a system call when it requests the operating system’s kernel. System call provides the services of the operating system to the user programs via the Application Program Interface(API). System calls are the only entry points into the kernel system and are executed in kernel mode.
A user program can interact with the operating system using a system call. A number of services are requested by the program, and the OS responds by launching a number of systems calls to fulfill the request.A system call can be written in high-level languages like C or Pascal or in assembly language. If a high-level language is used, the operating system may directly invoke system calls, which are predefined functions.A system call is initiated by the program executing a specific instruction, which triggers a switch to kernel mode, allowing the program to request a service from the OS. The OS then handles the request, performs the necessary operations, and returns the result back to the program.System calls are essential for the proper functioning of an operating system, as they provide a standardized way for programs to access system resources. Without system calls, each program would need to implement its methods for accessing hardware and system services, leading to inconsistent and error-prone behavior.Services Provided by System CallsProcess Creation and ManagementMain Memory ManagementFile Access, Directory, and File System ManagementDevice Handling(I/O)ProtectionNetworking, etc.Process Control: end, abort, create, terminate, allocate, and free memory.File Management: create, open, close, delete, read files, etc.Device ManagementInformation MaintenanceCommunicationFeatures of System CallsInterface: System calls provide a well-defined interface between user programs and the operating system. Programs make requests by calling specific functions, and the operating system responds by executing the requested service and returning a result.Protection: System calls are used to access privileged operations that are not available to normal user programs. The operating system uses this privilege to protect the system from malicious or unauthorized access.Kernel Mode: When a system call is made, the program is temporarily switched from user mode to kernel mode. In kernel mode, the program has access to all system resources, including hardware, memory, and other processes.Context Switching: A system call requires a context switch, which involves saving the state of the current process and switching to the kernel mode to execute the requested service. This can introduce overhead, which can impact system performance.Error Handling: System calls can return error codes to indicate problems with the requested service. Programs must check for these errors and handle them appropriately.Synchronization: System calls can be used to synchronize access to shared resources, such as files or network connections. The operating system provides synchronization mechanisms, such as locks or semaphores, to ensure that multiple programs can access these resources safely.How does System Call Work?Here is a detailed explanation step by step how system calls work:
Users need special resources: Sometimes programs need to do some special things that can’t be done without the permission of the OS like reading from a file, writing to a file, getting any information from the hardware, or requesting a space in memory. The program makes a system call request: There are special predefined instructions to make a request to the operating system. These instructions are nothing but just a “system call”. The program uses these system calls in its code when needed.Operating system sees the system call: When the OS sees the system call then it recognizes that the program needs help at this time so it temporarily stops the program execution and gives all the control to a special part of itself called ‘Kernel’. Now ‘Kernel’ solves the need of the program.The operating system performs the operations: Now the operating system performs the operation that is requested by the program. Example: reading content from a file etc.Operating system give control back to the program : After performing the special operation, OS give control back to the program for further execution of program.Types of System CallsServices provided by an OS are typically related to any kind of operation that a user program can perform like creation, termination, forking, moving, communication, etc. Similar types of operations are grouped into one single system call category. System calls are classified into the following categories:
read more about – Different Types of System Calls in OS
Examples of a System Call in Windows and UnixSystem calls for Windows and Unix come in many different forms. These are listed in the table below as follows:
ProcessWindowsUnixProcess ControlCreateProcess()
ExitProcess()
WaitForSingleObject()
Fork()
Exit()
Wait()
File manipulationCreateFile()
ReadFile()
WriteFile()
Open()
Read()
Write()
Close()
Device ManagementSetConsoleMode()
ReadConsole()
WriteConsole()
Ioctl()
Read()
Write()
Information MaintenanceGetCurrentProcessID()
SetTimer()
Sleep()
Getpid()
Alarm()
Sleep()
CommunicationCreatePipe()
CreateFileMapping()
MapViewOfFile()
Pipe()
Shmget()
Mmap()
ProtectionSetFileSecurity()
InitializeSecurityDescriptor()
SetSecurityDescriptorgroup()
Chmod()
Umask()
Chown()
Open(): Accessing a file on a file system is possible with the open() system call. It gives the file resources it needs and a handle the process can use. A file can be opened by multiple processes simultaneously or just one process. Everything is based on the structure and file system.
Read(): Data from a file on the file system is retrieved using it. In general, it accepts three arguments:
A description of a file.A buffer for read data storage.How many bytes should be read from the fileBefore reading, the file to be read could be identified by its file descriptor and opened using the open() function.Wait(): In some systems, a process might need to hold off until another process has finished running before continuing. When a parent process creates a child process, the execution of the parent process is halted until the child process is complete. The parent process is stopped using the wait() system call. The parent process regains control once the child process has finished running.
Write(): Data from a user buffer is written using it to a device like a file. A program can produce data in one way by using this system call. generally, there are three arguments:
A description of a file.A reference to the buffer where data is stored.The amount of data that will be written from the buffer in bytes.Fork(): The fork() system call is used by processes to create copies of themselves. It is one of the methods used the most frequently in operating systems to create processes. When a parent process creates a child process, the parent process’s execution is suspended until the child process is finished. The parent process regains control once the child process has finished running.
Exit(): A system call called exit() is used to terminate a program. In environments with multiple threads, this call indicates that the thread execution is finished. After using the exit() system function, the operating system recovers the resources used by the process.
Methods to Pass Parameters to OSIf a system call occur, we have to pass parameter to the Kernal part of the Operating system.
For example look at the given open() system call:
C
//function call example
#include <fcntl.h>
int open(const char *pathname, int flags, mode_t mode);
Here pathname, flags and mode_t are the parameters.
So it is to be noted that :
We can’t pass the parameters directly like in an ordinary function call.In Kernal mode there is a different way to perform a function call. So we can’t run it in the normal address space that the process had already created and hence we cant place the parameters in the top of the stack because it is not available to the Kernal of the operating system for processing. so we have to adopt any other methods to pass the parameters to the Kernal of the OS.
We can done it through,
Passing parameters in registers Address of the block is passed as a parameter in a register. Parameters are pushed into a stack.Let us discuss about each points in detail:
1. Passing Parameters in Registers It is the simplest method among the three Here we directly pass the parameters to registers. But it will it is limited when, number of parameters are greater than the number of registers. Here is the C program code:
C
// Passing parameters in registers.
#include <fcntl.h>
#include <stdio.h>
int main()
{
const char* pathname = "example.txt";
int flags = O_RDONLY;
mode_t mode = 0644;
int fd = open(pathname, flags, mode);
// in function call open(), we passed the parameters pathanme,flags,mode to the kernal directly
if (fd == -1) {
perror("Error opening file");
return 1;
}
// File operations here...
close(fd);
return 0;
}
2. Address of The Block is Passed as Parameters It can be applied when the number of parameters are greater than the number of registers. Parameters are stored in blocks or table. The address of the block is passed to a register as a parameter.Most commonly used in Linux and Solaris. Here is the C program code:
C
//Address of the block is passed as parameters
#include <stdio.h>
#include <fcntl.h>
int main() {
const char *pathname = "example.txt";
int flags = O_RDONLY;
mode_t mode = 0644;
int params[3];
// Block of data(parameters) in array
params[0] = (int)pathname;
params[1] = flags;
params[2] = mode;
int fd = syscall(SYS_open, params);
// system call
if (fd == -1) {
perror("Error opening file");
return 1;
}
// File operations here...
close(fd);
return 0;
}
3. Parameters Are Pushed in a Stack In this method parameters can be pushed in using the program and popped out using the operating systemSo the Kernal can easily access the data by retrieving information from the top of the stack.Here is the C program code
C
//parameters are pushed into the stack
#include <stdio.h>
#include <fcntl.h>
#include <unistd.h>
int main() {
const char *pathname = "example.txt";
int flags = O_RDONLY;
mode_t mode = 0644;
int fd;
asm volatile(
"mov %1, %%rdi\n"
"mov %2, %%rsi\n"
"mov %3, %%rdx\n"
"mov $2, %%rax\n"
"syscall"
: "=a" (fd)
: "r" (pathname), "r" (flags), "r" (mode)
: "%rdi", "%rsi", "%rdx"
);
if (fd == -1) {
perror("Error opening file");
return 1;
}
// File operations here...
close(fd);
return 0;
}
Advantages of System CallsAccess to Hardware Resources: System calls allow programs to access hardware resources such as disk drives, printers, and network devices.Memory Management: System calls provide a way for programs to allocate and deallocate memory, as well as access memory-mapped hardware devices.Process Management: System calls allow programs to create and terminate processes, as well as manage inter-process communication.Security: System calls provide a way for programs to access privileged resources, such as the ability to modify system settings or perform operations that require administrative permissions.Standardization: System calls provide a standardized interface for programs to interact with the operating system, ensuring consistency and compatibility across different hardware platforms and operating system versions.Disadvantages of System CallPerformance Overhead: System calls involve switching between user mode and kernel mode, which can slow down program execution.Security Risks: Improper use or vulnerabilities in system calls can lead to security breaches or unauthorized access to system resources.Error Handling Complexity: Handling errors in system calls, such as resource allocation failures or timeouts, can be complex and require careful programming.Compatibility Challenges: System calls may vary between different operating systems, requiring developers to write code that works across multiple platforms.Resource Consumption: System calls can consume significant system resources, especially in environments with many concurrent processes making frequent calls.ConclusionIn conclusion, system calls are a important part of how computer programs interact with the operating system. They provide a way for applications to request services from the OS, such as accessing files, managing memory, or communicating over networks. System calls act as a bridge between user-level programs and the low-level operations handled by the operating system kernel. Understanding system calls is essential for developers to create efficient and functional software that can leverage the full capabilities of the underlying operating system.
Frequently Asked Questions on System Call in Operating Systems – FAQsHow does a system call work?When a program executes a system call, it transitions from user mode to kernel mode, which is a higher privileged mode. The transition is typically initiated by invoking a specific function or interrupting instruction provided by the programming language or the operating system.
Once in kernel mode, the system call is handled by the operating system. The kernel performs the requested operation on behalf of the program and returns the result. Afterward, control is returned to the user-level program, which continues its execution.
Why do programs need to use system calls?Programs use system calls to interact with the underlying operating system and perform essential tasks that require privileged access or system-level resources.
What are some examples of system calls?Examples include opening and closing files, reading and writing data, creating processes, allocating memory, and performing network operations like sending and receiving data.
Why are system calls necessary?System calls are necessary as they enable applications to request essential services from the operating system, such as file access, memory management, and hardware control, ensuring secure and efficient interaction with computer resources.
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Sort an Array Having Optional Properties in TypeScript ?, unordered_multimap find() function in C++ STL | GeeksforGeeks | [-0.0325638205, 0.0247966014, -0.0129101574, 0.054988008, 0.0113664633, 0.0331975482, -0.0291026961, 0.0310688745, 0.00693037407, 0.0194180459, 0.0129670305, -0.0146244699, 0.0550530069, -0.0222129449, 0.00289848866, 0.0193205494, 0.00382876745, 0.014185736, 0.00729192328, -0.00345096877, 0.026064055, 0.00287411455, -0.0415659957, -0.00172040646, -0.0246991049, -0.0162006635, 0.0105052441, 0.00663382234, -0.0227816738, -0.0070359949, 0.0016391594, 0.0243903659, -0.00638195639, -0.025316583, 0.0127720376, -0.031166371, -0.0518031232, -0.0257390682, -0.0172243752, -0.00304473331, -0.0213517267, 0.00218351465, 0.0146407196, 0.00405016588, -0.0346762426, -0.00279083638, 0.00820595305, -0.0297526717, -0.0118051972, -0.0248615984, -0.0151850749, -0.0187030714, 0.0648026541, 0.0288102068, 0.0223266911, 0.0126745403, 0.00947340671, -0.0341562629, -0.0253328327, 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14 Sep, 2022 | How much Stack size required for BIOS interrupt call?
14 Sep, 2022
Stack: It is a linear data structure that follows the LIFO( Last In First Out ) order for performing the operations.
BIOS: It provides a set of instructions and is responsible for booting the computer. The BIOS performs all the tests needed at startup time.
Stack size required for bios interrupt calls?
1) For No interrupts generated in task
Formula For calculating Stack size required for bios no interrupt call
Task stack size = size used by user + argument size of the service-call + 6 (bytes)
2) For Interrupts generated in task
The formula for calculating Stack size required for bios interrupt call
Task stack size = size used by user + service-call argument size + 6 + 20 (bytes)
Example:
Suppose If we are given a task “Task1”, function GFG1 (using 12 bytes of the stack) makes a gfg_geek1 service call, and function GFG2 (using 20 bytes of the stack) makes a gfg_geek2 service call.
Since this is a interrupts generated task we will use Formula 2 for calculating the size.
Pattern of gfg_geek1 = size used by user (for function A) + service-call argument size (gfg_geek1) + 6 + 20= 124620= 42 bytes
Pattern of gfg_geek2 = size used by user (for function B) + service-call argument size (gfg_geek2) + 6 + 20= 200620= 26 bytes
Now we will compare the pattern of gfg_geek1 with the pattern of gfg_geek2 now the pattern that uses the most stack is pattern gfg_geek1, at 42 bytes. The size that needs to be specified in the system for the file will be 42 minus 6 bytes, which equals 36 bytes.
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02 Sep, 2024 | Difference between Interrupt and Polling
02 Sep, 2024
As modern computer systems grow increasingly complex, efficient communication between the CPU and peripheral devices becomes more critical. Devices like keyboards, mouse, printers, and network interfaces require timely interaction with the CPU to ensure smooth operation and user experience. Interrupts and polling represent two fundamental strategies for handling these interactions.
What is Interrupt?
Interrupt is a hardware mechanism in which, the device notices the CPU that it requires its attention. Interruptions can take place at any time. So when the CPU gets an interrupt signal through the indication interrupt-request line, the CPU stops the current process and responds to the interrupt by passing the control to the interrupt handler which services the device.
Advantages
Sleep Modes
Parallel Processing
Disadvantages
Context Switching
Interrupt Latency
What is Polling?
Polling is not a hardware mechanism, its a protocol in which CPU steadily checks whether the device needs attention. Whenever device tells process unit that it desires hardware processing, in polling process unit keeps asking the I/O device whether or not it desires CPU processing. The CPU ceaselessly check every and each device hooked up thereto for sleuthing whether or not any device desires hardware attention. Each device features a command-ready bit that indicates the standing of that device, i.e., whether or not it’s some command to be read by hardware or not. If command bit is ready one, then it’s some command to be read else if the bit is zero, then it’s no commands.
Advantages
No context switching
Reduced interrupt overhead
Disadvantages
Inefficiency
Increased Power Consumption
Difference Between Interrupt and Polling
Interrupt
Polling
In interrupt, the device notices the CPU that it requires its attention.
Whereas, in polling, CPU steadily checks whether the device needs attention.
An interrupt is not a protocol, its a hardware mechanism.
Whereas it isn’t a hardware mechanism, its a protocol.
In interrupt, the device is serviced by interrupt handler.
While in polling, the device is serviced by CPU.
Interrupt can take place at any time.
Whereas CPU steadily ballots the device at regular or proper interval.
In interrupt, interrupt request line is used as indication for indicating that device requires servicing.
While in polling, Command ready bit is used as indication for indicating that device requires servicing.
In interrupts, processor is simply disturbed once any device interrupts it.
On the opposite hand, in polling, processor waste countless processor cycles by repeatedly checking the command-ready little bit of each device.
Conclusion
Interrupts provide a more efficient and responsive method by allowing the CPU to perform tasks without constant monitoring, while polling, though simpler, can result in unnecessary CPU cycles being consumed. The choice between these mechanisms depends on the specific requirements of the system, such as the need for real-time processing, resource availability, and the complexity of the hardware.
Difference Between Interrupt and Polling – FAQs
When is polling preferred over interrupts?
Polling may be preferred in systems where simplicity is more important than efficiency or when dealing with devices that don’t generate frequent interrupts. It can also be used in situations where the overhead of handling interrupts is undesirable.
Can polling be used in real-time systems?
Polling can be used in real-time systems, but it might not be ideal due to its inherent latency. Interrupts are often preferred for their immediate responsiveness in real-time applications.
What is a command-ready bit?
The command-ready bit is a status flag in a device’s status register that indicates whether the device has a command or data that needs to be processed by the CPU.
How does the command-ready bit work?
The command-ready bit is typically a single-bit flag within a device’s status register. When the bit is set (1), it signals that the device has a command or data ready for processing. When the bit is cleared (0), it indicates that there are no commands or data pending.
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30 Sep, 2024 | Difference between Difference Engine and Analytical Engine
30 Sep, 2024
The development of computing technology has a rich history, with many inventions and innovations leading to the creation of the modern computer. Two such machines, the Difference Engine and Analytical Engine, were created by the English mathematician and inventor Charles Babbage in the 19th century. While these machines share some similarities, they are fundamentally different in their design, functionality, and impact on computing history. In this article, we will explore the differences between the Difference Engine and Analytical Engine.
What is Analytical Engine?
Analytical engine Is a fully controlled general-purpose computer which includes automatic mechanical digital computer into it. Any of the calculation set is being programmed with the help of punch cards. It also includes integrated memory and programs flow control and also ALU into it. It is the first general mechanical computer system were Any of the other finite calculations are being carried or performed by it.
Advantages of the Analytical Engine
Flexibility: Unlike the Difference Engine, the Analytical Engine was designed to be programmable, which gave it a much wider range of functionality and made it adaptable to a variety of tasks.
Storage: The machine had a “memory” in the form of punched cards, which allowed it to store and recall data for future use.
Potential for automation: The Analytical Engine had the potential to be fully automatic, which would have made it even more efficient and accurate than the Difference Engine.
Disadvantages of the Analytical Engine
Complexity: The Analytical Engine was even more complex than the Difference Engine, which made it even more expensive to build and maintain.
Lack of funding: Babbage struggled to secure funding for the project, which ultimately led to its abandonment.
Technological limitations: The technology of the time was not advanced enough to fully realize the potential of the Analytical Engine, which made it difficult to build and test.
What is Difference Engine?
The word difference engine is derived from the Latin method of divide difference. A difference engine is the type of automatic mechanical calculators that are designed or developed to calculate or tabulate the polynomial function. It can calculate in a way to tabulate the polynomial functions by using the small sets of coefficients.
Advantages of the Difference Engine
Accuracy: The Difference Engine was designed to be highly accurate, capable of performing complex mathematical calculations with a high degree of precision.
Speed: The machine was capable of performing calculations much faster than humans could, which made it a valuable tool for scientific research, engineering, and other fields that required rapid computation.
Automation: The Difference Engine was designed to be fully automatic, eliminating the need for manual calculation and reducing the possibility of errors.
Disadvantages of the Difference Engine
Limited functionality: The Difference Engine was designed to perform a specific set of calculations, and could not be easily adapted to other tasks.
Complexity: The machine was highly complex and expensive to build, which made it difficult to produce and maintain.
Lack of funding: Babbage struggled to secure funding for the project, which ultimately led to its abandonment.
Similarities between the two machines
Designed by Charles Babbage: Both the Difference Engine and the Analytical Engine were designed by Charles Babbage, a British mathematician, philosopher, and inventor.
Mechanical Computers: The Difference Engine and the Analytical Engine were both mechanical computers, meaning they were designed to perform calculations using physical mechanisms rather than electronic circuits.
Shared Some Components: The Analytical Engine was actually designed as an extension of the Difference Engine, so it shared some components with its predecessor. For example, both machines used punch cards to input instructions and data.
Used a Similar Design: The design of the Analytical Engine was based on that of the Difference Engine, with some additional features added. Both machines had a central processing unit that used gears and other mechanical components to perform calculations.
Never Fully Built: While Babbage designed both the Difference Engine and the Analytical Engine, neither machine was fully built during his lifetime due to lack of funding and technical difficulties. However, some working prototypes have been constructed in modern times based on Babbage’s original plans.
Difference between Difference Engine and Analytical Engine
Here are the following difference between Difference Engine and Analytical Engine:
Analytical Engine
Difference Engine
It can do the 4 basic mathematical operation.
It can only do one mathematical operation.
It can perform addition, subtraction, multiplication, and division.
It can only perform the addition function.
It is a general-purpose computer system.
It is a type of simple mechanical computer.
It is an intendedly controlled machine.
It is created in a way to tabulate the mechanical functions.
It is a type of automatic mechanical digital computer.
It includes the material expression of any indefinite function.
It can perform any calculation sets before it.
It is performed to calculate the polynomial functions.
In this engine, it is not intended for tabulating the results for a particular function
It is intended to tabulate the results of a particular function.
It contains the memory and storage which is equal to the CPU.
It includes the other operations which are done by the addition operation.
The basic arithmetic operations in this are independent of each other.
It can perform various calculations that the analytical engine can not perform.
It is slower in speed.
It is faster in speed.
Analytical Engine is not been constructed because of its mechanical complexities.
Difference Engines are constructed.
It is very heavily detailed and technical in nature.
It is very impressive in nature.
It does not provide much overview of the designs general-purpose.
It helps in solving the various types of complex problems.
More complex, designed to handle multiple tasks and logical operations.
Less complex, focused on a single task.
Analytical Engine designed by Charles Babbage in 1837.
Difference Engine designed by also Charles Babbage but in 1820.
Some key differences between the Difference Engine and Analytical Engine include:
Purpose: The Difference Engine was designed to calculate polynomial functions, while the Analytical Engine was intended to be a general-purpose computer capable of performing a wide range of calculations.
Complexity: The Analytical Engine was a much more complex machine than the Difference Engine, with more advanced features like conditional branching and memory storage.
Input/output: The Difference Engine had no input/output capabilities, while the Analytical Engine used punched cards for input and output.
Automation: The Difference Engine was designed to automate the process of creating mathematical tables, while the Analytical Engine was intended to automate a wider range of tasks.
In summary, the Difference Engine and Analytical Engine were two early mechanical computers designed by Charles Babbage. The Difference Engine was a large calculator designed to compute polynomial functions, while the Analytical Engine was a more advanced general-purpose computer that used punched cards for input and output, and was capable of performing a wide range of calculations.
Conclusion
The Difference Engine and the Analytical Engine were two mechanical computing machines designed by Charles Babbage in the 19th century. Despite their differences in complexity and capabilities, the two machines shared several similarities in design and purpose, including the use of punch cards and a system of gears and wheels to perform calculations. The legacy of Babbage’s designs can still be seen in modern computing, and his pioneering work continues to inspire generations of computer scientists and engineers.
FAQs: Difference Engine and Analytical Engine
What is the Difference Engine?
The Difference Engine is a mechanical calculator designed by Charles Babbage in the early 19th century. It was intended to compute and print mathematical tables using a method called finite differences.
What is the Analytical Engine?
Analytical engine Is a fully controlled general-purpose computer which includes automatic mechanical digital computer into it. Any of the calculation set is being programmed with the help of punch cards. It also includes integrated memory and programs flow control and also ALU into it.
How do the Difference Engine and Analytical Engine differ in functionality?
The Difference Engine is specifically designed for polynomial calculations and generating tables, while the Analytical Engine is capable of performing any mathematical operation and could be programmed for various tasks.
What mathematical method does the Difference Engine use?
This mathematical approach involves approximating mathematical functions using polynomials, creating tables of differences between consecutive values of the function, and using these differences to interpolate new values.
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12 Aug, 2024 | Difference Between Store‑and‑Forward Switching and Cut‑Through Switching
12 Aug, 2024
Switching is a technique to transmit data between networks using switches that connect multiple LANs. Switches forward data packets based on MAC addresses, efficiently using bandwidth and reducing collisions. The three main types are:
Circuit Switching: Dedicated path for the entire connection, used in traditional telephony.
Message Switching: Entire messages are stored and forwarded, allowing flexible use but with potential delays.
Packet Switching: Data is broken into packets sent independently and reassembled at the destination, used in modern networks like the Internet.
Switching Methods
Cut-through Switching: Forwards packets as soon as the destination address is read, ensuring low latency but no error checking.
Store-and-Forward Switching: Receives the entire frame, checks for errors, and then forwards it, ensuring reliable transmission with higher latency.
What is Store-and-Forward Switching?
Store-and-forward switching is a method of switching data packets by the switching device that receives the data frame and then checks for errors before forwarding the packets. It supports the efficient transmission of non-corrupted frames. It is generally used in telecommunication networks.
In store-and-forward switching, the switching device waits to receive the entire frame and then stores the frame in the buffer memory. Then the frame is checked for errors by using CRC(Cyclic Redundancy Check) if the error is found then the packet is discarded else it is forwarded to the next device.
Store and Forward Switching
What is Cut-through Switching?
Cut-through switching is a method of switching data packets by the switching device that forwards the packets as soon as the destination address is available without waiting for the rest of the data to arrive. It supports low latency and high-speed transmission and requires less storage space. It is used in fiber channel transmission, SCSI traffic transmission, etc.
In cut−through switching, data transmission starts as soon as the destination address field arrives at the switching device. Then the device performs a lookup operation to check whether the destination address is valid or not. If the address is found valid and the link to the destination is available then the switching device starts to transmit the packets to the destination without waiting for the rest of the frame to arrive.
Cut through Switching
Difference Between Cut-through Switching and Store-and-Forward Switching
Store-and-Forward Switching
Cut-through Switching
The switching device waits to receive the entire frame before forwarding the data packet.
The switching device forwards the data packet as soon as the destination address is received and doesn’t wait for the entire frame to be received.
It supports error checking and collided/ bad frames are discarded before forwarding the packets.
There is no error-checking technique.
It checks for errors based on FCS bits of the data frame.
It relies on higher-level protocols to detect the error.
Frames are stored in the buffer memory of the switching device.
Frames are not stored in the switching device.
It is not further classified into different types.
Cut through switching is further classified as Rapid frame forwarding and Fragment free.
It has a high latency rate as the device waits for the entire frame to be received before sending the packets to the destination.
It has a low latency rate as the device does not wait for the entire frame to be received before sending the packets to the destination.
It is more secure as it does not forward corrupted frames to the destination.
It is less secure as it sometimes forwards corrupted frames to the destination.
It has a high waiting time as the switching device waits for the entire frame to be received before forwarding it.
It has a low waiting time as it forwards the frame as soon as the destination address is received.
It does not limit routing or arbitration decisions in switches.
It puts a limit on routing or arbitration decisions in switches between source and destination.
It has networks with more storage requirements.
It has less storage requirement.
Example: Telecommunication networks or transmission across networks requiring high mobility.
Example: Communication via fiber channel and low latency transmission for SCSI transmission.
Conclusion
Store-and-forward switching as well as cut-through switching are two techniques which are employed in switches so as to transfer packets arrived from the source to the destination. Store-and-forward switching is more reliable, can handle packets of any size but is slower and has lower throughput than cut-through switching. Cut-through switching has greater characteristics by way of throughput but it will transmit packets with errors and can only work on packets whose size is greater than a particular length.
Difference Between Store‑and‑Forward Switching and Cut‑Through Switching – FAQs
What is the main advantage of store-and-forward switching?
Store-and-forward switching is characterized by the main advantage of checking the error in the entire data frame before sending while eliminating the defective frame.
Why is cut-through switching faster than store-and-forward switching?
Cut-through switching is faster because it begins to forward the packet immediately the address of the switch destination is obtained, not waiting until the whole of the frame is received implying less delay.
In what scenarios is store-and-forward switching commonly used?
Store and forward switching is used in the telecommunication networks mostly in the cases when data delivery reliability is crucial.
What are the limitations of cut-through switching?
Like every other technique that is employed in LANs, cut-through switching does not perform error checking and might forward useless messages that are disturbed in the process. It also has the disadvantage of managing packets that are larger a given size limit.
Can cut-through switching handle any packet size?
No, cut-through switching can only work on packets that are of over a definite size because it forwards the packet as soon as the destination address is received.
Which switching method is more secure, and why?
Store-and-forward switching is less secure than cut-through switching because when being switched through the network, frames are checked for errors and corrupted frames are discarded but a cut-through switch forwards corrupted frames.
How does store-and-forward switching impact network latency?
Store-and-forward switching also endures a high amount of network delay as the device has to wait for the complete frame along with the possible errors before passing the packet on.
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29 Oct, 2024 | Difference between Message and Packet Switching
29 Oct, 2024
The Message and the Packet Switching are a two fundamental methods of the data transmission in a computer networks. A Message Switching transmits the entire message as a single unit through a intermediate nodes using store and forward technique where each node must receive the complete message before forwarding it. A Packet Switching divides a messages into the smaller packets that are sent independently through the different network paths and reassembled at a destination. While the Message Switching requires a more storage and can cause the delays. Packet Switching offers a efficient resource utilization and forms the basis of a modern internet communications.
What is Message Switching?
In this technique the entire message is transmitted without any break from one node to another. It firstly stores and then forwards information that requires more time. Due to this, the access time is increased. No direct link is present between the sender and the receiver.
Advantages of Message
Messaging allows for a quick and a convenient communication enabling the people to stay connected regardless of distance or time zones. It provides written record of a conversations which can be useful for a reference or documentation purposes.
Messaging platforms support the multimedia sharing allowing users to easily exchange the photos, videos and files. This versatility enhances the richness of a communication and facilitates collaboration in the both personal and professional settings.
Messaging offers less intrusive form of a communication compared to the phone calls allowing recipients to respond at convenience. It also provides the options for group conversations making it easier to coordinate with a multiple people at same time.
Disadvantages of Message
The instantaneous nature of a messaging can create the pressure for immediate responses leading to stress and a constant interruptions. This can negatively impact the productivity and personal time blurring the lines between a work and leisure.
Messaging lacks the variation of face-to-face communication such as a tone of voice and body language which can lead to the misunderstandings. This limitation can sometimes result in a miscommunication or misinterpretation of the sender intent.
Excessive reliance on a messaging can reduce in person interactions and potentially impact the development of a social skills. It may also contribute to sense of disconnection or isolation despite the increase in communication frequency.
What is Packet Switching?
The packet switching information is transferred in the form of a data packets between the sender and the receiver. These packets are forwarded one by one from a sender to a receiver. Each packet is associated with a Header. Then, these packets then reassembled into the original message. This improves the performance as the time require to access the data packet is reduced. Due to this, the overall performance of the network is improved.
Advantages of Packet Switching
Efficient use of network resources as multiple users can share the same communication lines simultaneously. This leads to better utilization of available bandwidth and reduced costs.
Improved reliability through dynamic routing, allowing data to find alternative paths if one route is congested or fails. This enhances network resilience and ensures data delivery even in partial network failures.
Flexibility in handling various types of data and traffic patterns. Packet switching can easily accommodate different data types and varying loads, making it adaptable to diverse network requirements.
Disadvantages of Packet Switching
Potential for packet loss or out-of-order delivery, requiring additional protocols for error checking and sequencing. This can lead to increased complexity in network management and potential data integrity issues.
Variable latency due to different routing paths and network conditions, which can affect real-time applications. This unpredictability can be problematic for time-sensitive services like voice or video communications.
Overhead from packet headers and routing information, reducing the effective data transmission rate. Each packet carries extra information for routing and reassembly, which consumes some of the available bandwidth.
Difference between Message and Packet Switching
Message Switching
Packet Switching
A complete message is passed across a network.
Message is broken into smaller units known as Packets.
In this, computer language used is ASCII, baudot, morse.
In packet switching, binary type is used.
In message switching there is no limit on block size.
Packet switching places a tight upper limit on block size.
Message exist only in one location in the network.
Parts i.e. packets of the message exist in many places in the network.
Example: Hop-by-hop Telex forwarding and UUCP(UNIX-to-UNIX Copy Protocol)
Example: Frame Relay, IP, and X. 25
Physical links are allocated dynamically.
Virtual links are made simultaneously.
Access time is reduced due to increase in performance as packets are stored in disk.
Packets are stored in main memory.
Conclusion
Message switching and packet switching are two ways to send data across networks. Message switching sends entire messages as one unit, like a complete letter. Packet switching breaks data into smaller packets, sending each separately, like mailing a letter in pieces. Packet switching is more efficient and flexible, allowing better use of network resources. It’s the basis for how the internet works, while message switching is mostly obsolete for data communications. Think of message switching as sending a postcard, and packet switching as sending a series of text messages.
Frequently Asked Questions on Message and Packet Switching – FAQ’s
Which method is more efficient?
A Packet switching is efficient. It allows the network resources to be shared better as small packets from a different sources can be interwoven on the same lines reducing wait times and making it better use of a available bandwidth.
Give the real world analogy for the message and packet switching?
A Message switching means sending a complete postcard through a mail. The Packet switching is more like sending the series of a text messages where each message can take its own route to reach the recipient quickly.
Which method is used for a internet?
The internet uses a packet switching. This allows fast & more flexible data transmission enabling the quick loading of a web pages and smooth video streaming and rapid file downloads.
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31 May, 2021 | How to Connect Between Devices Via Network Wire on Cisco Packet Tracer(Virtual Program)?
31 May, 2021
In this article, we will look into how we can connect two computers/laptops using a virtual program called CISCO Packet Tracer. It can help us share files among the systems easily. A virtual program is used to set up the appropriate connection as it gives us a brief idea about the requirements for establishing a physical connection like hubs, switches, and routers, etc.
Prerequisites:
Laptop/Desktop
CISCO Packet Tracer program
Setting Up:
Follow the below steps to initiate the setup for the connection:
Step 1: Download Cisco Packet Tracer.
Step 2: Run and install the setup (You can be requested to log in to your Cisco Networking Academy Account or you can also log in as a guest).
Step 3: After the installation procedure has completed this display (below) will appear when you run the Cisco Packet Tracer-Start the application.
Cisco Packet Tracer
Implementation:
Follow the below steps to implement the connection:
Step 1: From the bottom toolbar, click on ‘End Devices’ and select ‘PC’ and then click on the screen (for two PC’s do this step twice).
Bottom toolbar->End devices->PC
This is how it will appear on the screen
Step 2: Now to connect the PC’s, we require a wire; we use cross-over wire to connect similar devices.
Select Connections from the bottom toolbar, and select cross-over wire (that is the fourth wire).
A Cross-Over Wire is largely used to connect the computing gadgets, additionally, cross wire cables are used to connect devices of equal type.
Step 3: After selecting the wire click on the computer on the screen(here PC0) and select FastEthernet0.
Then, drag the wire to the other pc (here PC1) and do the same.
Step 4: Now, we will assign the IP address to both the PCs (PC0 & PC1).
An IP address (Internet Protocol) is nothing but the numerical designation of the devices connected to the network, that use the Internet protocol as a communication medium.
Click on PC0. A dialog box will appear on the screen, select Desktop and then select IP configuration :
After clicking on IP configuration this is what will appear
Now in IPv4 Address, write 192.168.1.1, Subnet mask will be 255.255.2550
Similarly, assign 192.168.1.2 to PC1
We have successfully connected two computers.
Now to check this, we will transfer data from one computer to another and check whether the transfer is successful or not. To do so follow the below steps:
Step 1: From the Secondary Toolbar at the top, select ‘Add sample PDU’ that is the second last icon.
Step 2: Now click on PC0 and then PC1.
Now if in Realtime box- PDU list window it shows successful, that means all the connections are correct and the data transfer is successful
You have successfully connected two computers, using the virtual program Cisco Packet Tracer.
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03 Apr, 2023 | Types of Node Devices in a Computer Network: End devices and Intermediary Devices
03 Apr, 2023
Pre-Requisite: Physical Components of Computer Network
The computer network is a term used to refer to any group (or system) of interconnected nodes (computers, printers, or any other devices) connected by communication links known as transmission media (or channels) usually meant for the exchange of information and resource sharing.
What is Node in Computer Networks?
In Computer Networks, a Node is any device that is capable of sending or receiving data, to and from other nodes at definite and desired flow rates securely and reliably. In simple words, you can say that Nodes are the connection point among network devices that results in the transfer of data from one point to another. In a Network, more than one node can be used at one time.
On the basis of functionality and usage, the node devices can be broadly classified into the following types:
End Devices
Intermediary Devices
End Devices and Intermediary Devices
1. End Devices
End devices are node devices that serve as a source point or a destination point in the communication that occurs on a computer network. With the coming advancements in computer networking systems, we have nodes that can act as a client, a server, or both. The rest of the network is built around these end devices to establish communication links between them. Software installed on the node devices determines the role they offer to play in a computer network. According to their usage, the end devices can be broadly grouped into the following categories:
End Devices as Clients: Perform the tasks of requesting data, displaying received data, etc. meant usually for usage by end clients.
End Devices as Servers: Equipped with programs that provide information and services such as webpages or e-mails to other nodes (or hosts) on the network.
Functions of End Devices
They serve as the originator of the data or information that flows through the network.
Act as an interface between end-users (humans) and the communication network having several node devices.
Examples of the End Devices
Some examples of End Devices are Work Stations, Laptops, Desktop Computers, Printers and Scanners, Servers (File Servers, Web Servers), Mobile Phones, Tablets, Smart Phones, etc.
2. Intermediary Devices
Intermediary devices are node devices that are designed to forward data from one side to another side in a computer network. These intermediary devices work as a connecting medium (along with other services being offered) for other nodes and handle the tasks in the background ensuring that the data flows effectively at desired flow rates across the entire computer network.
The intermediary devices for the management of the data flowing through them use various addressing systems such as IP Addresses, MAC Addresses, and Port Numbers (or Port addresses) along with information about the network interconnections. Further various types of switching in computer networks determine the path that messages take through the network during communication.
Functions of Intermediary Devices
Signal damping is a common phenomenon that is overcome via the regeneration and retransmission of the data signals done by these devices.
To ensure successful transfers these devices keep a record of information on the source address, destination address, or different pathways existing through the network depending upon the switching technique being employed.
They also detect faults and errors effectively using redundancy bits, etc. and notify the devices to further ensure fault tolerance by performing corrections while transferring data in a computer network.
Maintenance of a definitely desired flow control and response timeout during the entire course of the communication.
Setup, grouping, and direction of messages (or packets) according to their priorities are done by these devices.
Provide network security by permitting or denying the flow of data, based on security settings.
Examples of the intermediary devices
Some examples of Intermediary Devices are Hubs, Switches, wireless access points, and other devices used for accessing the network, file servers, web servers, print servers, modems, and devices used for internetworking such as routers, bridges, repeaters, security firewalls, etc.
Some Other Nodes in Computer Network
Data Communications
Telecommunication Nodes
Cable TV Network Nodes
Distributed Network Nodes
LANs & WANs
1. Data Communications: Data Communication is defined as the exchange of data between two devices via some form of transmission media such as a cable, wire or it can be air, or vacuum also. For the occurrence of data communication, communicating devices must be part of a communication system made up of a combination of hardware or software devices and programs.
Data Communications
2. Telecommunication Nodes: Telecommunication Nodes are the nodes connected in the telephone networks which might be used privately or publicly to communicate with one another.
3. Cable TV Network Nodes: Nodes in cable TV Network Devices basically deals with the Fibre Optics cables, which are connected in homes and business areas.
4. Distributed Network Devices: Distributed network nodes are the nodes that are distributed among servers and clients.
5. LANs & WANs: LAN & WAN are used to perform actions. Here, for every Network Interface Card, we require a MAC Address.
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12 Sep, 2023 | Types of Errors in Computer Network
12 Sep, 2023
Computer networks are the backbone of communication systems by which data and information can be exchanged between multiple communicating devices and users. In modern days, computer networks are essential for daily work life real-time video streaming, online gaming, various communicative applications, etc. However, there are many types of errors present in computer networks which can lead to restricted communication, and delay in packet transmission that produces glitches in videos and distorts the audio in real-time applications. In this article, we will discuss various types of errors in computer networks with their cause and countermeasures.
Common Network Problems
There are basically 5 ways through which errors occurred during transmission that are mentioned below.
1. Transmission Error
During the data transmission phase, data may be transmitted inaccurately due to many reasons like external electromagnetic interference, interrupted/degraded signal faulty hardware, etc. This leads to loss of data or corrupted data packets and inconsistency in data packet arrivals which triggers non-reliable data communication. This type of mis-transmission of data is called Transmission error. Transmission errors can easily resolved by using error detection and correction mechanisms(CRC, checksums etc.), and high-quality networking equipment and data cables can reduce this error.
2. Data Packet Loss
Data packets can be lost during data transmission due to the presence of errors in routing protocols, highly congested networks, or may be for faulty networking devices. Data packet losses can lead to back-to-back packet retransmission which results in delay in next packet arrival and reduced network performance. During real-time communication, data-packet loss may badly affect the live streaming with distorted audio and videos with glitches. Countermeasures involve implementing forward error correction and congestion control technique reduces packet loss. Also, it is required to ensure that all networking devices are up-to-date and these devices are using optimized network configurations as per requirements.
3. Network Latency
If one of the two communicating devices uses high latency but another one is running at low latency then the delay may occur during data transmission which is called a network latency problem. It can be a consequence of high network congestion and different processing power of two communicating devices which leads to processing delays. The latency problem can directly effect real-time applications like online gaming and video conferencing. In modern technology, this problem can be easily solved by only implementing Quality of Service(QoS) techniques. Also, increasing the network bandwidth, optimizing network routing protocols, and utilizing a caching system can reduce this problem.
4. Configuration Errors
Misconfigured or pirated software faces configuration errors which results in inaccurate network operations. Configuration errors may lead to security vulnerabilities(mainly unauthorized access), instability in network connectivity, and incorrect packet routing which results in communication failures.
5. Hardware Failures
Using very old and unmaintained network devices(switches, routers etc.), no backups for power-cuts or manufacturing defect lead to hardware failure. This results network outages, high downtime, restricted productivity for business farms or users and loss of data if no backup taken. This problem can be handled by performing regular maintenance of networking devices, preparing alternative device if possible, taking data backups and disaster management tools to minimize the data loss and downtime and it is also required to replace the aged hardware in time.
Types of Errors in Computer Network
1. Single-Bit Error
It is nothing but a special type of transmission error. During transmission of data packets from one networking device to another, if only one bit from this whole data packet is being changed/corrupted/altered then Single-bit transmission error occurs. This single bit corruption can be occurred due to induced noise in data transmission cable or presence of electromagnetic interference.
The word single-bit error can lead to be sound a very simple and harmless but in reality single-bit errors can corrupt the whole data and the receiver may get fully incorrect data when they decode it. Also a very worthy error detection mechanism is required to detect it as the error is truly very small but results high data damage. For example say one sender sent a data packet to a receiver and the data packet is 0111. And during transmission single-bit error occurred and receiver receives 0011 instead 0111 i.e. only one bit is flipped. Now let receiver will decode it to decimal and so receiver will get 3(0011) instead of the correct data 7(0111). So, when this data is used for complex logic a huge data corruption will occur. Countermeasures involve implementing error detection and correction methods like CRC, parity bits etc.
2. Burst Error
Similarly it is one kind of Transmission error and very likely to single bit error. But in Burst error, multiple data bits of a data packets are being changed/corrupted/ altered during transmission. And these multibit corruption occurs in a very short period so it is called ‘Burst’. Communication line interference, impulsive noise are the main factors which lead to burst error. As multiple bit are being corrupted so it can fully corrupt a data packet and making it fully valueless. Burst errors can be rectified by retransmission but it consumes additional network resources and burst error can occur in that also. So, we need to implement robust error detection and correction techniques like Reed-Solomon codes or convolutional codes. These algorithms adds redundancy bits of data so that the receiver can reconstruct the original data from that if burst error occurred. For example the sender sends a data block of 110001 and receiver receives 101101. Here, we can see that in a single instance total 3bits of data corrupted i.e. burst error occurred.
Difference Between Single Bit Error and Burst Error in Computer Network
Single-Bit error
Burst Error
Only one bit of a data packet is altered or corrupted.
Multiple bits of a data packet is being corrupted in a very short period of time(bursting).
May occur randomly and can affect individual bits in a data packet.
It occurs like a cluster and affect consecutive bits of a data packet.
Minor data corruption and easy to restore the original. This error can be handled using CRC, parity bit etc.
High data corruption(Clustered errors) and hard to detect and restore to original. Robust coding required like Reed-Solomon codes or convolutional codes.
As only one bit is altered so it is easy to correct the wrong sequence.
In a short sequence multiple bits are altered so it is hard to correct and may lead to entire corruption of data packet.
FAQs On Types of Errors in Computer Network
Q.1: Write some common causes of errors in computer networks?
Answer:
Various factors can lead to result in errors in computer networks like transmission problem(electromagnetic interference, signal degradation etc.), malfunctioning communication cables or outdated networking devices, misconfigured networking devices, excessive network traffic, data packet loss etc.
Q.2: How to detect and correct errors in computer network?
Answer:
Implementing error detection and correction mechanisms within the transmission network can restrict errors. Some very common and widely used algorithms are Cyclic Redundancy Check (CRC), parity bits , checksum etc. Also some more robust codes are Reed-Solomon codes(for Burst error) and Hamming codes(For single-bit error) etc.
Q.3: What are some potential consequences of errors in a computer network?
Answer:
What kind or amount of error is occurring that measures the consequences of that particular error. Like a single-bit error may lead to minor glitches where as a burst error may harm the whole data block. A hardware failure may lead to huge data loss, service breakdown etc.
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11 Sep, 2024 | Difference between Storage Area Network (SAN) and Network Attached Storage (NAS)
11 Sep, 2024
When it comes to managing and storing data in an IT setup it’s important to know the different storage options available. Two key technologies are Storage Area Network (SAN) and Network Attached Storage (NAS). SAN is a high-speed network that connects servers to storage devices, enabling efficient data transfer and centralized management making it ideal for large enterprises with demanding storage needs. NAS, on the other hand, is a simpler system that connects to your network letting multiple devices easily share and access files. It’s more affordable and user friendly making it a great choice for smaller businesses and home setups. Both SAN and NAS are essential for data management each offering its own set of benefits depending on what you need.
What is a Storage Area Network (SAN) ?
It is used for transferring the data between the servers and the storage devices’ fiber channels and switches. In SAN (Storage Area Network), data is identified by disk block. Protocols that are used in SAN are SCSI (Small Computer System Interface), SATA (Serial Advanced Technology Attachment), etc.
Components of Storage Area Network (SAN):
Node ports
Cables
Interconnect devices such as Hubs, switches, directors
Storage arrays
SAN management software
How SAN work?
A Storage Area Network (SAN) is a dedicated, high-speed network that links servers to storage devices, enabling multiple servers to share and access storage resources efficiently. Key components include storage devices, switches, Host Bus Adapters (HBAs), and high-speed cabling. By operating separately from regular networks, SANs avoid traffic congestion and use protocols like Fibre Channel or iSCSI for fast data transfer. They offer improved performance, scalability, and centralized management of storage, making them suitable for demanding applications and extensive storage needs.
SAN Use Cases
Disaster Recovery: In disaster recovery scenarios, a SAN provides a reliable solution for ensuring data availability and continuity in the event of a site failure or disaster. Effective disaster recovery strategies involve replicating data to offsite locations to safeguard against data loss and ensure business continuity.
SANs facilitate data replication between primary and secondary storage locations. This replication can be synchronous or asynchronous, depending on the organization’s recovery point objectives (RPO) and recovery time objectives (RTO). Synchronous replication ensures that data is mirrored in real-time, while asynchronous replication updates the backup data at scheduled intervals.
SANs support disaster recovery by enabling storage to be located at geographically dispersed sites. This geographic separation protects against localized disasters, such as fires or floods, ensuring that data remains accessible even if one site is affected.
What is Network Attached Storage (NAS) ?
data is identified by file name as well as byte offset. In-Network Attached Storage, the file system is managed by Head units such as CPU and Memory. In this for backup and recovery, files are used instead of the block-by-block copying technique.
Components of Network Attached Storage (NAS):
Head unit: CPU, Memory
Network Interface Card (NIC)
Optimized operating system
Protocols
Storage protocols: ATA (Advanced Technology Attachment), SCSI, FC (Fibre Channel)
How NAS works?
Network-Attached Storage (NAS) is a file storage solution that connects to a network, enabling multiple devices to access and share files easily. The NAS device houses storage drives and connects to the network via an Ethernet port. It operates with its own system designed to handle file management and network connections, supporting various file-sharing protocols like SMB, NFS, or AFP. Users can access files from the NAS as if it were a local drive, with features such as data redundancy through RAID, automatic backups, and access controls to manage permissions. The NAS can be managed through a web-based interface or mobile apps, providing a centralized, efficient storage solution for collaborative work and data sharing.
NAS use cases
File Sharing and Collaboration: NAS is perfect for settings where multiple people need to access and work on the same files. It provides a single place where everyone can store and retrieve documents, which makes team projects much smoother for example Small offices, home workspaces or teams collaborating on shared documents or media.
Data Backup and Recovery: NAS devices often include backup features that help you keep your important files safe. You can use them to back up data from different computers or devices to one secure spot example backing up personal files, protecting small business data or planning for disaster recovery.
Media Storage and Streaming with NAS you can store and stream your music, photos and videos across your network. It turns your NAS into a home media hub letting you enjoy your digital library on various devices like setting up a home media server, organizing your digital photo collection, or streaming videos and music to your TV and other devices.
Difference Between Storage Area Network (SAN) and Network Attached Storage (NAS) are as Follows
SAN
NAS
SAN stands for Storage Area Network.
NAS stands for Network Attached Storage.
In SAN (Storage Area Network), data is identified by disk block.
In NAS (Network Attached Storage), data is identified by file name as well as byte offset.
In SAN (Storage Area Network), the file system is managed by servers.
In NAS (Network Attached Storage), file system is managed by Head unit.
SAN (Storage Area Network) is more costly.
NAS (Network Attached Storage) is less expensive than SAN.
SAN(Storage Area Network) is more complex than NAS.
NAS (Network Attached Storage) is less complex than SAN.
Protocols used in SAN are: SCSI, SATA, etc.
Protocols used in NAS are: File server, CIFS (Common Internet File System), etc.
For backups and recovery in SAN, Block by block copying technique is used.
For backups and recovery in NAS, Files are used.
SAN gives high performance in high-speedefforthigh-speed traffic systems.
While NAS is not suitable for that environment which has high speed traffic.
SAN needs more time and efforts in organizing and controlling.
NAS is easy to manage and provides a simple interface for organizing and controlling.
SAN does not depends on the LAN and uses a high-speedfiber channel network.
NAS needs TCP/IP networks and depends on the LAN.
Mostly used in enterprise environments.
Applications include small-sized organizations high-speed and homes.
It has lower latency.
Compared to SAN, NAS has higher latency.
SAN supports virtualization.
NAS does not support virtualization.
The working of SAN is not affected by network traffic bottlenecks.
The working of NAS is affected by network traffic bottlenecks.
Conclusion
Both SAN and NAS each offer distinct advantages depending on your storage needs. SAN is a robust highspeed network that’s perfect for large businesses needing centralized storage and the capacity to handle big data loads efficiently. NAS on the other hand is a simpler and more budget friendly option ideal for smaller businesses or home use where easy access and file sharing are the priorities. By understanding what each option brings to the table you can make the best choice for your specific situation ensuring your data is stored and managed smoothly.
Difference Between Storage Area Network (SAN) and Network Attached Storage (NAS) – FAQs
What is the main difference between SAN and NAS?
SAN (Storage Area Network) connects servers directly to storage devices over a high speed network ideal for large scale data management. NAS (Network Attached Storage) connects to a network allowing multiple devices to access and share files making it more suitable for smaller setups.
Which is more cost-effective, SAN or NAS?
NAS is generally more cost effective than SAN. It’s simpler to set up and maintain making it a better choice for smaller businesses or home environments.
Is SAN better for high-performance needs?
Yes, SAN is designed for high-performance environments. It can handle large volumes of data with low latency making it ideal for enterprises with demanding storage and data transfer requirements.
Where are SAN and NAS typically used?
SAN is commonly used in large enterprise environments where performance and centralized storage are critical. NAS is more often found in smaller businesses, homes or any setting where easy file sharing is the main priority.
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22 Mar, 2023 | Difference Between Network Security and Network Administration
22 Mar, 2023
In the world of information technology, there are two important and distinct roles that are often confused: network security and network administration. While these two jobs may be closely related, they require different sets of skills and responsibilities. It’s significant to understand the differences between network security and network administration in order to determine which role is best suited for your particular organization.
Network Security
Network security is the practice of protecting a network from malicious attacks and unauthorized access. This involves implementing measures such as firewalls, antivirus software, intrusion detection systems, and encryption algorithms to protect data, systems, and networks from unauthorized access. Network security professionals are responsible for developing and implementing policies and procedures that protect the integrity and confidentiality of the network. Network security professionals must have a thorough understanding of security protocols and technologies, as well as the ability to identify and respond to potential vulnerabilities and threats. They must also be familiar with common security tools and technologies, such as firewalls, antivirus software, and intrusion detection systems.
Advantages of Network Security:
Network Security helps to protect against unauthorized access and other security threats, such as malware and viruses.
Network Security can ensure the confidentiality, integrity, and availability of network resources, data, and services.
Network Security can help organizations comply with regulations and standards related to data privacy and security.
Network Security can help improve the overall performance and reliability of the network.
Disadvantages of Network Security:
Network Security measures can be costly and time-consuming to implement and maintain.
Network Security measures can introduce additional complexity to the network, which may increase the risk of human error.
Network Security measures may not be foolproof and can be bypassed by determined attackers.
Network Administration
Network administration is the practice of managing a network’s physical hardware, software, and operating systems. This includes tasks such as installing and configuring hardware, developing and maintaining software and operating systems, and providing technical support for users. Network administrators must have a thorough understanding of networking technologies and protocols, and must be able to troubleshoot any problems that may arise. Network administrators must also be familiar with network topology, which involves designing and configuring a network’s physical layout. In addition, they must be able to manage and maintain a network’s user accounts and access privileges.
Advantages of Network Administration:
Network Administration involves managing and maintaining the network infrastructure, including hardware, software, and services.
Network Administration can help ensure the smooth and efficient operation of the network, minimizing downtime and maximizing productivity.
Network Administration can help optimize network performance and scalability, ensuring that the network can meet the needs of the organization as it grows.
Network Administration can help diagnose and resolve network issues, minimizing the impact of problems on users and the business.
Disadvantages of Network Administration:
Network Administration can be a complex and demanding job, requiring specialized skills and knowledge.
Network Administration can be time-consuming and may involve working outside of normal business hours to perform maintenance and upgrades.
Network Administration can be stressful, particularly in high-pressure situations such as network outages or security breaches.
Similarities between Network Security and Network Administration:
Both Network Security and Network Administration are essential components of a well-functioning network.
Both Network Security and Network Administration require specialized skills and knowledge, as well as ongoing training and professional development.
Both Network Security and Network Administration require careful planning and attention to detail to ensure that the network is secure, stable, and reliable.
Difference Between Network Security and Network Administration
Factor
Network Security
Network Administration
Knowledge
Network Security requires a deeper understanding of security-related concepts and technologies, such as encryption, firewalls, and access control.
Network Administration requires a broad knowledge of networking and server technologies, such as routers, switches, and virtualization.
Skills
Network Security requires specialized skills such as cryptography, malware analysis, and intrusion detection.
Network Administration requires skills such as scripting, configuration management, and server administration.
Training
Network Security personnel must be trained in security-related concepts and technologies,
Network Administration personnel must have a broad knowledge of networking and server technologies.
Certifications
Network Security personnel must typically have a certification in a specific security technology or protocol.
Network Administration personnel typically have a certification in a specific vendor’s product or technology.
Scope
Network Security focuses on protecting the network from external threats,
Network Administration focuses on ensuring the network is running optimally.
Tools
Network Security personnel use tools such as firewalls, IDS/IPS, and antivirus software to protect the network.
Network Administration personnel use tools such as routers, switches, and monitoring software to manage the network.
Compliance
Network Security personnel must ensure that the network is compliant with security policies and regulations.
Network Administration personnel must ensure that the network is compliant with policies and regulations related to performance and availability.
Troubleshooting
Network Security personnel must troubleshoot security-related issues.
Network Administration personnel must troubleshoot performance-related and availability-related issues.
Monitoring
Network Security personnel must monitor the network for security incidents and unauthorized access attempts,
Network Administration personnel must monitor the network for performance issues and availability problems.
Conclusion:
In conclusion, Network Security and Network Administration are both essential components of a well-functioning network. While they share some similarities, such as the need for specialized skills and knowledge, they are distinct areas with different goals and priorities. Network Administrators focus on optimizing network performance and ensuring that the network is running smoothly, while Network Security professionals focus on protecting the network from security threats. Both are critical components of a well-designed and secure network.
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28 Dec, 2020 | Internet Administration
28 Dec, 2020
Internet Administration is basically a group that coordinates and guides the Internet with its growth and development. It makes sure that all the protocols are followed by the devices and network for the smooth functioning of the internetwork. Some of the organizations that overlook the growth and development of the internet are –
Internet Society (ISOC) :
An international, non-profit organization, ISOC formed to provide support for the Internet standard process accomplishes its goals by maintaining and supporting other Internet administrative bodies such as IAB, IETF, IRTF, and IANA. It also promotes research and other activities relating to the Internet.
Internet Architecture Board (IAB) :
The technical advisor to the ISOC, the IAB’s main purpose is to oversee the continuing development of the TCP/IP Protocol Suite and to serve in a technical advisory capacity to research members of the Internet community, which is accomplished by its two components, the Internet Engineering Task Force (IETF) and the Internet Research Task Force (IRTF). Additionally, IAB is also the editorial manager of the RFCs and is the external liaison between the Internet and the other standards, organizations, and forums.
Internet Engineering Task Force (IETF) :
Managed by the Internet Engineering Steering Group (IESG), the IETF is a forum of working groups responsible for identifying operational problems, proposing solutions to them, and developing and reviewing specifications intended as Internet Standards. The groups are collected into areas, like, applications, routing, security, protocols, and network management, and each area concentrates on a specific topic.
Internet Research Task Force (IRTF) :
Managed by the Internet Research Steering Group (IRSG), the IRTF is a forum of working groups focusing on long-term research topics related to Internet protocol, technology, applications, and architecture.
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22 Sep, 2020 | Internet Telephony Protocol | H.323
22 Sep, 2020
Internet Telephony Protocol is also called Voice Over IP . It is a real-time interactive audio/video application. As from the name Internet Telephony, it uses internet as a telephone network with additional features. To communicate between two parties, it uses packet-switched Internet.
There are two different types of protocols that enable Internet Telephony.
H.323
Session Initiation Protocol (SIP)
H.323 :
Basically, H.323 may be a standard set by ITU which allows telephones on the general public telephone network to speak to computers connected to internet. The architecture of H.323 is shown as shown as:
H.323 Architecture Model
At the center, there is gateway placed which connects the internet to the telephone network. Gateway translates a message from one protocol to another. It speaks H.323 protocol on Internet site and PSTN i.e. Public Switched Telephone Network protocol on telephone side. It will act as both computer and telephone. A LAN may have a gatekeeper which controls the terminals under its jurisdiction calledzone.
Protocols of H.323 :
To maintain audio or video communication, H.323 uses a number of protocols. The various protocols used are as shown in the following figure.
H.323 Protocol Stack
G.711 or G.723.1 –
These protocols are used for compression.
H.245 –
In this, multiple compression protocols are permitted, H.245 allows the terminals to negotiate which protocol to use for compression. H.245 also negotiates bit rate.
RTCP –
It is used to control RTP channels.
Q.931 –
This protocol is required for establishing and releasing connections, providing dial tones, making ringing sounds.
H.225 –
This protocol enables the terminals to talk to gatekeepers. This protocol also manages PC-to-gatekeeper channel called RAS channel. This channel allows the terminals to join and leave the zone, request and return bandwidth and provide status updates.
RTP –
It is used for actual data transmission.
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16 Oct, 2023 | IPsec (Internet Protocol Security) Tunnel and Transport Modes
16 Oct, 2023
IPsec (Internet Protocol Security) is an important generation for shielding statistics transmitted over IP networks. IPsec (Internet Protocol Security) is a set of protocols and methods used to steady communications over IP networks along with the Internet. It gives a sturdy framework for ensuring the confidentiality, integrity, and authenticity of data transmitted between network gadgets. The two principal IPsec modes are Tunnel Mode and Transport Mode, each with unique capability and traits.
Terminologies Used in IPsecBefore we dive into IPsec modes, here are a few important terms:
IPsec: Internet Protocol Security (IPsec) is a protocol and tactic used for securing IP communications through statistics authentication and encryption.Tunnel mode: In tunnel mode, the complete original IP packet which includes the header and payload is encrypted and inserted into the brand-new IP packet. This mode is normally used for network-to-network connections.Transport mode: Transport mode encrypts only the payload (records) of the authentic IP packet, leaving the IP header intact. Typically used for end-to-end communication between hosts or gadgets.Authentication: The process of verifying the identification to ensure a secure trade of networks.Integrity: Protection from statistics corruption for the duration of transmission, completed through cryptographic hash capabilities.Privacy: Encryption of facts to save you unauthorized access or eavesdropping.IPsecIPsec Tunnel ModeFull Header and Payload Encryption: In Tunnel Mode, the complete original IP packet (header and payload) is encrypted after which it is encapsulated inside a new IP packet. This new packet has a different IP header, normally with exclusive source and destination spotted on its IP addresses.Used for Site-to-Site VPNs: Tunnel Mode is normally utilized in site-to-web page VPNs (Virtual Private Networks) in which entire networks or subnets need to talk securely over an untrusted network, including the Internet.Protects Network-to-Network Communication: Network to network Communication secures communication between all the networks, for encryption and protection from attacks.ExplanationUse CaseTunnel Mode is frequently used in website-to-web site VPNs, in which complete networks or subnets need secure communication. It protects the entire conversation between two networks.
Example:
Consider branch places of work of an organization. They join over the internet the usage of Tunnel Mode to safely change sensitive information. The authentic IP packets are encapsulated within new IP packets with extraordinary supply and destination addresses.
IPsec Transport ModePayload encryption simplest: In shipping mode, preferably the payload (information) of a valid IP packet is encrypted, while the valid IP header stays intact. This mode is usually used to pause communication between hosts or gadgets.Used for host-to-host communication: The host-to-host communication mode is generally used to guard communication among hosts or devices in preference to the whole network.Less overhead: Since the original IP header no longer trades, new headers may have less overhead in keeping with the sentence compared to Tunnel Mode.ExplanationUse CaseTransport mode is suitable for drop-off connections among hosts or devices in the location.
Example:
Transport mode is used when employees in an employer need to soundly trade their documents locally. Only the payload of a valid IP packet is encrypted, at the same time as the IP header no longer alternates.
In each Tunnel Mode and Transport Mode, IPsec gives the subsequent key safety offerings:
Authentication: Ensures the identification of the speaking parties through the use of mechanisms like virtual signatures or pre-shared keys.Integrity: Protects the information from tampering at some point of transmission by using cryptographic hash features.Confidentiality: Encrypts the data to ensure that it can't be studied by using unauthorized events.Anti-Replay Protection: Prevents attackers from intercepting and retransmitting data packets.The desire between Tunnel Mode and Transport Mode relies upon the specific requirements of the conversation and the structure of the community. Site-to-web site VPNs usually use Tunnel Mode to stabilize complete networks, at the same time as Transport Mode is appropriate for end-to-end encryption between hosts.
Step-by-Step Process IPsec Tunnel ModeConfigure the IPsec Tunnel on each end of the community.Define the encryption and authentication strategies.Establish a secure tunnel between the networks.All traffic among the networks is encrypted and guarded.IPsec Transport ModeConfigure IPsec guidelines on the hosts.Define the encryption and authentication techniques.Establish a stable connection between the hosts.Data dispatched between the hosts is encrypted, ensuring its confidentiality.ConclusionIt is critical to apprehend IPsec tunnels and shipping modes to guard information in diverse network environments. Whether you’re securing an entire network or seeking to steady it in containers in hosts, IPsec offers the tools and functions you want to keep your statistics secure and secure.
FAQs on IPsec Q.1: What is the primary purpose of IPsec?Answer:
The primary purpose of IPsec is to secure IP networks with the aid of supplying integrity, honesty and confidentiality.
Q.2: When to use IPsec Tunnel Mode?Answer:
Use tunnel mode for neighbourhood-net conversations, together with connecting to faraway workstations or securing visitors to registers.
Q.3: Can I use IPsec Transport Mode to avoid internet traffic?Answer:
Generally, the shipping mode is not appropriate for securing internet site visitors, because it is not used for stop-to-forestall networks that depend upon community constants lots extra than they do now.
Q.4: Is IPsec used for VPNs?Answer:
Although IPsec is typically utilized in VPNs, it could be used to facilitate basically any IP-based conversation, inclusive of web site visitors from the inner environment
Q.5: What techniques may be utilized in IPsec?Answer:
IPsec helps a couple of authentication mechanisms consisting of shared keys, virtual certificate, and public key infrastructure (PKI).
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23 Jan, 2025 | Real-time Transport Control Protocol (RTCP)
23 Jan, 2025
Real-time Transport Protocol (RTP) allows only that type of message, which carries data from the source to the destination. But in some cases, we need some other type of message in a session. The messages can control the transmission and quality of data as well as also allow the recipients to they can send feedback to the source or sources. A protocol designed for this purpose is known as Real-time Transport Control Protocol (RTCP).
RTCP and RTP
RTCP (Real-Time Transport Control Protocol) and RTP (Real-Time Protocol) are closely related network protocol standards used for managing media streams over IP networks, particularly in streaming media systems and video conferencing applications. Both protocols are typically used together, with RTP carrying the media streams and RTCP monitoring transmission statistics and quality of service, providing necessary feedback to maintain the performance and quality of the streaming experience. They do not provide any encryption or authentication themselves, but they can be used in conjunction with security protocols such as SRTP (Secure RTP) to enhance privacy and data integrity in sensitive applications.
RTCP (Real-Time Transport Control Protocol)
RTCP works in conjunction with RTP to provide control services for media streaming by offering feedback on the quality of service being provided.
RTCP collects and sends control data to participants in a streaming media session, with the primary function of providing feedback on the quality of the data distribution.
This protocol is used to monitor transmission statistics and quality of service and aids in controlling congestion.
RTCP provides a standard way to carry statistical and control data, such as sender or receiver reports that describe the quality of service, bandwidth, media characteristics, and network delay.
RTP (Real-Time Protocol)
RTP is used primarily for delivering audio and video over IP networks.
It enables the transmission of data in real-time, making it crucial for applications such as video conferencing, streaming media, and telephony.
RTP does not provide any mechanism for guaranteeing timely delivery or quality of service, as it operates over UDP (User Datagram Protocol), which is connectionless and does not guarantee delivery.
RTP packets contain sequence numbers and timestamp information to allow the receiver to reconstruct the timing and sequence of the incoming media stream.
Working of RTCP
Real-Time Transport Control Protocol
The above diagram shows the flow structure of RTP and RTCP protocols. RTCP has five types of messages that are given below:
Sender Report (SR): The sender report is sent after a fixed interval by the active sender in a conference to report transmission as well as statistics of reception for all RTP packets transmitted during the period. The report sent by the sender contains the detail of absolute time-stamp, that is the number of seconds elapsed since midnight on January 1, 1970. After receiving the RTP messages from the receiver, these details of absolute timestamps help the receiver in the synchronization process. This is very important in audio-video transmission for finding the relative timestamp.
Receiver Report (RR): Passive participants are those participants that do not send RTP packets, and for them the Receiver report is used. This report is used to informs the sender and other receivers about the quality of service.
Source Description Message (SDES): The source sends a source description message within a fixed interval to give some extra information about itself. It contains the details about the name of the source, its mail ID, contact number or source controller.
Bye Message (BYE): To shut down a stream, a source sends a type of message which is known as Bye message. It is used by the source to announcing for leaving the conference. This message is a direct announcement for other sources about the absence of a source. It can be used for combining different media file.
Application-Specific Message (APP): If we want to make our application extensible then RTCP allows application-specific RTCP packets which is introduced by RTC 3611. It can be used to extend the type of application.
History of RTCP
The Real-time Transport Control Protocol (RTCP) was initially developed as part of the RTP specification in RFC 1889 by the Audio-Video Transport Working Group of the Internet Engineering Task Force (IETF) in January 1996. This foundational standard was revised with RFC 3550 in 2003, which addressed protocol scalability, enhanced security, and provided more detailed mechanisms for reporting and congestion control.
RTCP, alongside RTP, has been essential for the standardized transmission of audio and video over the internet, particularly for applications like streaming media and interactive communications. Its development reflects its crucial role in multimedia transmissions across various network types, from small-scale media streaming to large-scale broadcasts and conferencing systems. RTCP helps in adjusting the flow of data and reports on network characteristics like packet loss, delay, and jitter, enhancing the overall quality of multimedia communications.
Conclusion
Real-time Transport Control Protocol (RTCP) is a fundamental component of modern multimedia streaming technologies, working in tandem with RTP to ensure the effective delivery of audio and video content over IP networks. By using a variety of packet types, such as Sender Reports, Receiver Reports, Source Description, Bye, and Application-Defined packets, RTCP provides critical feedback and control mechanisms that help manage network conditions and participant interactions. As streaming media continues to evolve and demand for real-time communication grows, the role of RTCP in maintaining high-quality, synchronized multimedia experiences remains crucial, ensuring that users enjoy reliable and seamless media consumption and interaction.
Real-Time Transport Control Protocol (RTCP) – FAQs
How does RTCP work with RTP?
RTCP works alongside RTP by providing control and monitoring functions for streaming media. While RTP carries the actual media streams (audio and video), RTCP is responsible for the delivery reports, participant information, and session control messages necessary for managing the transmission.
What types of information does an RTCP packet contain?
RTCP packets contain a variety of information, including sender and receiver reports that provide feedback on the quality of the media stream, source descriptions, and goodbye messages that notify participants when a user is leaving the session.
Why is RTCP important for streaming media?
RTCP is crucial for streaming media because it allows for effective management and adaptation of the stream based on network conditions. It provides metrics such as packet loss, jitter, and network latency, which are essential for adjusting stream quality to maintain smooth playback and synchronization.
How does RTCP improve media streaming quality?
RTCP improves streaming quality by enabling the dynamic adjustment of streaming parameters in response to network conditions reported via RTCP messages. This adaptive behavior helps in optimizing the streaming experience even under varying network conditions.
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27 Aug, 2019 | Cisco Discovery Protocol (CDP) and Link Layer Discovery Protocol (LLDP) in Data Link Layer
27 Aug, 2019
Layer 2 or the Datalink layer provides physical addressing and access to media. It defines how data is to be formatted for transmission and how access to the network is to be controlled. It also provides error detection, ensuring data on higher layers is formatted correctly for transmission.
Cisco Discovery Protocol (CDP) and Link Layer Discovery Protocol (LLDP) in Data Link Layer are layer 2 (Datalink layer) protocols. They both help to discover how devices are connected to each other in a network. They both run independently of protocols IPv4/IPv6. They also help to verify and create documentation.
Cisco Discovery Protocol (CDP):
CDP is a Cisco proprietary protocol developed by Cisco Systems. It is used to discover other Cisco devices and can be used to share information such as OS version IP address, etc. CDP uses multicast frames for transmission and doesn’t rely on higher layer protocols. It can also be used for On Demand Routing to include routing information in CDP announcements so that dynamic routing protocols do not need to be used in simple networks.
Link Layer Discovery Protocol (LLDP):
LLDP on the other hand is the industry standard version of CDP. It is used by network devices for advertising themselves and their neighbors on a local area network based on IEEE 802 technology.
Consider the following diagram:
In the above diagram: connection 1 is possible as the connection is between 2 Cisco devices and both would use CDP to discover their neighbors and share their information. The same goes for connection 2 which is between 2 non Cisco devices. It will be using LLDP instead of CDP to discover its neighbors. A Cisco device cannot locate a non Cisco device using CDP and vice versa. Therefore, we can say that connection 3 is not possible.
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25 Jun, 2020 | Data Link Layer Communication Protocols in IoT
25 Jun, 2020
Several Communication Protocols are used in Internet of Things (IoT) to provide service to the network layer.
As we know IoT is based on networking of things where smart devices communicate with each other by sending and receiving data. So for that several network protocols (Communication protocols) are used to connect the IoT enabled devices and to establish the communication.
Some of the popular Standard IoT communication protocols are:
Bluetooth :
Bluetooth is a PAN (Personal Area Network) or it is a short-range wireless communication network for exchanging data between the connected devices through that network. It is very cheaper in price and effective in a performance point of view for short-range distance. It is a 2.4GHz network that works well for personal wireless network communication. It provides a data transfer rate of 3 Mbps in a range of 50m to 150m. Nowadays Bluetooth is almost present in all smartphones and it is highly used in wearable devices connected with the mobile applications.
ZigBee :
Zigbee is similar to Bluetooth technology with 2.4Ghz frequency. It is a low power personal communication network. It is cheaper and is widely used for several applications. It is used for specific commercial and industrial applications. Its range varies from 10-100m. Mesh networking is one of the important advantages of Zigbee technology. Zigbee supports star or mesh network topology.
BLE (Bluetooth Low Energy) :
Bluetooth Low Energy is also known as Bluetooth smart which is a wireless PAN(Personal Area Network). The range is similar to that of Bluetooth but it consumes low power than Bluetooth. In 2011 BLE was introduced as Bluetooth 4.0. BLE goes to sleep mode when there is no transmission of data. It is a low-cost networking protocol. The smartphones operating systems like android, ios, etc uses this BLE technology and provide a Bluetooth network.
Wi-Fi (Wireless Fidelity) :
WiFi is a local area network which is a wireless network there is no wired connection. It is Proposed by Wi-Fi Alliance. WiFi provides Internet access to devices within a range of 60 feet to 100 feet. It uses high-frequency radio signals for sending and receiving data. It uses the IEEE 802.11 standard. Its data rate varies from 2Mbps to 1.73Gbps. We can set up PAN (Personal Area Network) or LAN (Local Area Network) or WAN (Wide Area Network) in IoT systems. By Routing, we can increase the network area.
Z-Wave :
Z-wave technology is a wireless communication protocol that creates a wireless Mesh network. It is based on low power RF(Radio Frequency) based technology. It is mainly used for home automation applications and devices. It operates in 900 Mhz frequency bands. It is a more secure technology. It offers data transfer rates of 9.6Kbps, 40Kbps, or 100Kbps. Its range varies from 98 to 328 feet. It is low power and longer range IoT technology.
RFID (Radio-Frequency Identification) :
Radio Frequency Identification technology uses radiofrequency waves to transfer data between a reader and a movable item to identify and track. It does not require contact between reader and tagged item. RFID tag, RFID reader, RFID antenna are the key components of RFID technology. Tags operate depending upon their frequency bands of 13.56 and are mostly used.
Cellular :
Increased quantities of data can be sent over longer distances or range by using Cellular communications (GSM/3G/4G/5G etc). But it is very useful in sending a small quantity of data over the internet. Cellular carriers manage the infrastructure so when we use it we don’t need to worry about infrastructure costs and support costs.
Sigfox :
Sigfox is a form of wireless communications that provides low power and long-range wireless connectivity for devices. The messages are transmitted over the Sigfox global network. Sigfox provides one of the largest IoT networks. It is like Cellular network type which sets up antennas on towers. It is a Low Power Wide Area Networks (LPWAN).
Ethernet:
Ethernet is used to connect the devices in a Local Area Network (LAN) which is based on IEEE 802.3 standard. Ethernet is a LAN technology in which the devices are wired connection which provides data transfer rates as high as 100 Mbps. Choosing Ethernet for IoT ecosystem is a little bit costly in terms of setup and management.
NFC (Near Field Communication) :
NFC is an IoT which helps to connect devices. It provides short-range wireless connectivity technology but NFC transmission is slower than Bluetooth. It is based on Radio Frequency Identity (RFID) technology. It can operate in low power. It operates at 13.56 MHz frequency.
LPWAN (Low Power Wide Area Network) :
LPWAN (Low Power Wide Area Network) is a wireless wide area network technology whose range varies from 2 km to 1000 km depending on the technology. Siggfox, LoRa is the examples involve all major LPWAN technology.
LoRaWAN :
LoRaWAN(Long Range Wide Area Network) is a wide area network protocol. It is a low power consumption protocol that targets the wide-area network (WAN) applications with better security and mobility. It supports a large network with millions and millions of low power devices deployed on public networks. It is along with range bidirectional communication which has a range of more than 15 km.
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24 Jun, 2024 | Network Layer Protocols
24 Jun, 2024
Network Layer is responsible for the transmission of data or communication from one host to another host connected in a network. Rather than describing how data is transferred, it implements the technique for efficient transmission. In order to provide efficient communication protocols are used at the network layer. The data is being grouped into packets or in the case of extremely large data it is divided into smaller sub packets. Each protocol used has specific features and advantages. The below article covers in detail the protocols used at the network layer.
Functions of Network LayerThe network layer is responsible for providing the below-given tasks:
Logical Addressing: Each device on the network needs to be identified uniquely. Therefore network layer provides an addressing scheme to identify the device. It places the IP address of every sender and the receiver in the header. This header consists of the network ID and host ID of the network.Host-to-host Delivery of Data: The network layer ensures that the packet is being delivered successfully from the sender to the receiver. This layer makes sure that the packet reaches the intended recipient only.Fragmentation: In order to transmit the larger data from sender to receiver, the network layer fragments it into smaller packets. Fragmentation is required because every node has its own fixed capacity for receiving data.Congestion Control: Congestion is defined as a situation where the router is not able to route the packets property which results in aggregation of packets in the network. Congestion occurs when a large amount of packets are flooded in the network. Therefore network layer controls the congestion of data packets in the network.Routing and Forwarding: Routing is the process that decides the route for transmission of packets from sender to receiver. It mostly chooses the shortest path between the sender and the receiver. Routing protocols that are mostly used are path vector, distance vector routing, link state routing, etc.Network Layer ProtocolsThere are various protocols used in the network layer. Each protocol is used for a different task. Below are the protocols used in the network layer:
Protocols at each Layer1. IP (Internet Protocol)IP stands for Internet Protocol. Internet Protocol helps to uniquely identify each device on the network. Internet protocol is responsible for transferring the data from one node to another node in the network. Internet protocol is a connectionless protocol therefore it does not guarantee the delivery of data. For the successful delivery higher level protocols such as TCP are used to guarantee the data transmission. The Internet Protocol is divided in two types. They are:
IPv4: IPv4 provides with the 32 bit address scheme. IPv4 addressing has four numeric fields and are separated by dot. IPv4 can be configured either using DHCP or manually. IPv4 does not provide with more security features as it does not support authentication or encryption techniques. IPv4 is further divided into five classes as Class A, Class B, Class C, Class D and Class E.IPv6: IPv6 is the most recent version of IP. If provided with a 128 bit addressing scheme. IP address has eight fields that are separated by colon, and these fields are alphanumeric. The IPv6 address is represented in hexadecimal. IPv6 provides with more security features such as authentication and encryption. IPv6 supports end-to-end connection integrity. IPv6 provides with more range of IP address as compared to IPv4. Difference between IPv4 and IPv6: IPv4 vs IPv6
2. ARP (Address Resolution Protocol)ARP stands for Address Resolution Protocol. ARP is used to convert the logical address ie. IP address into physical address ie. MAC address. While communicating with other nodes, it is necessary to know the MAC address or physical address of the destination node. If any of the node in a network wants to know the physical address of another node in the same network, the host then sends an ARP query packet. This ARP query packet consists of IP address and MAC address of source host and only the IP address of destination host. This ARP packet is then received to every node present in the network. The node with its own IP address recognises it and sends it MAC address to the requesting node. But sending and receiving such packets to know the MAC address of destination node it increases the traffic load. Therefore in order to reduce this traffic and improve the performance, the systems that makes use of ARP maintain a cache of recently acquired IP into MAC address bindings.
How Does ARP Work?The host broadcasts an ARP inquiry packet containing the IP address over the network in order to find out the physical address of another computer on its network. The ARP packet is received and processed by all hosts on the network; however, only the intended recipient can identify the IP address and reply with the physical address. After adding the physical address to the datagram header and cache memory, the host storing the datagram transmits it back to the sender.ARPTypes of ARP EntriesStatic Entry: This type of entry is created when a user uses the ARP command utility to manually enter the IP to MAC address association.Dynamic Entry: A dynamic entry is one that is automatically formed when a sender broadcasts their message to the whole network. Dynamic entries are periodically removed and are not permanent.3. RARPRARP stands for Reverse Address Resolution Protocol. RARP works opposite of ARP. Reverse Address Resolution Protocol is used to convert MAC address ie. physical address into IP address ie. logical address. RARP provides with a feature for the systems and applications to get their own IP address from a DNS( Domain Name System) or router. This type of resolution is required for various tasks such as executing reverse DNS lookup. As Reverse Address Resolution Protocol works at low level it requires direct network addresses. The reply from the server mostly carries a small information but the 32 bit internet address is used and it does not exploit the full potential of a network such as ethernet.
How Does RARP Work?Data is sent between two places in a network using the RARP, which is on the Network Access Layer. Every user on the network has two distinct addresses: their MAC (physical) address and their IP (logical) address. Software assigns the IP address, and the hardware then builds the MAC address into the device. Any regular computer connected to the network can function as the RARP server, answering to RARP queries. It must, however, store all of the MAC addresses' associated IP addresses. Only these RARP servers are able to respond to RARP requests that are received by the network. The information package must be transmitted over the network's lowest tiers.Using both its physical address and Ethernet broadcast address, the client transmits a RARP request. In response, the server gives the client its IP address. RARPDifference between ARP and RARP: ARP vs RARP
4. ICMPICMP stands for Internet Control Message Protocol. ICMP is a part of IP protocol suite. ICMP is an error reporting and network diagnostic protocol. Feedback in the network is reported to the designated host. Meanwhile, if any kind of error occur it is then reported to ICMP. ICMP protocol consists of many error reporting and diagnostic messages. ICMP protocol handles various kinds of errors such as time exceeded, redirection, source quench, destination unreachable, parameter problems etc. The messages in ICMP are divided into two types. They are given below:
Error Message: Error message states about the issues or problems that are faced by the host or routers during processing of IP packet.Query Message: Query messages are used by the host in order to get information from a router or another host.How Does ICMP Work?The main and most significant protocol in the IP suite is called ICMP. However, unlike TCP and UDP, ICMP is a connectionless protocol, meaning it doesn't require a connection to be established with the target device in order to transmit a message.TCP and ICMP operate differently from one another; TCP is a connection-oriented protocol, while ICMP operates without a connection. Every time a connection is made prior to a message being sent, a TCP Handshake is required of both devices.Datagrams including an IP header containing ICMP data are used to transmit ICMP packets. An independent data item like a packet is comparable to an ICMP datagram. ICMP5. IGMPIGMP stands for Internet Group Message Protocol. IGMP is a multicasting communication protocol. It utilizes the resources efficiently while broadcasting the messages and data packets. IGMP is also a protocol used by TCP/IP. Other hosts connected in the network and routers makes use of IGMP for multicasting communication that have IP networks. In many networks multicast routers are used in order to transmit the messages to all the nodes. Multicast routers therefore receives large number of packets that needs to be sent. But to broadcast this packets is difficult as it would increase the overall network load. Therefore IGMP helps the multicast routers by addressing them while broadcasting. As multicast communication consists of more than one senders and receivers the Internet Group Message Protocol is majorly used in various applications such as streaming media, web conference tools, games, etc.
How Does IGMP Work?Devices that can support dynamic multicasting and multicast groups can use IGMP.The host has the ability to join or exit the multicast group using these devices. It is also possible to add and remove customers from the group using these devices. The host and local multicast router use this communication protocol. Upon creation of a multicast group, the packet's destination IP address is changed to the multicast group address, which falls inside the class D IP address range.Difference between ICMP and IGMP: ICMP vs IGMP
Frequesntly Asked Question on Network Layer Protocols - FAQs Is Transmission Control Protocol(TCP) a network layer protocol?No, TCP is a transport layer protocol. TCP provides with a reliable connection between all the applications. Data is being sent from one host to another without any error and duplication issues.
Which layer protocols are designed for end- users?Application layer protocols are designed for end-users. Application layer consists of protocols such as HTTP, HTTPS, FTP, SMTP, SSH etc.
State the format of ICMP message?The ICMP message is of 32 bit. It consists of 3 fields. First field is of 8 bit that states type of message, second field is of 8 bit that states the reason of message and the third field is of 16 but that consists of actual ICMP message.
What is CIDR?CIDR stands for Classless Inter-Domain Routing , it is basically addressing type which allows more effective and efficient use of IP address.
What is NAT?
Network Address Translation (NAT) is a process in which one or more local IP address is translated into one or more Global IP address and vice versa in order to provide Internet access to the local hosts.
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27 Mar, 2024 | Which Layer Called Error Detection Layer?
27 Mar, 2024
Answer: The Data Link layer is often referred to as the error detection layer.And, Transport Layer is also responsible for error detection and recovery in data communication.
Error DetectionThe Data Link layer is responsible for transferring data frames between adjacent network nodes. During this process, it employs error detection techniques to ensure data integrity.
CRC (Cyclic Redundancy Check)One of the primary methods used for error detection at this layer is CRC. CRC involves appending a checksum to the data frame based on its contents.
Acknowledgments and Retransmissions
The Data Link layer also implements mechanisms like acknowledgments and retransmissions to detect and recover from transmission errors.
Ethernet and Wi-FiIn Ethernet networks, the Data Link layer is implemented through protocols like Ethernet II or IEEE 802.3, which include error detection mechanisms.
Conclusion The Data Link layer plays a crucial role in error detection within a network. By implementing techniques like CRC and mechanisms for acknowledgments and retransmissions, it ensures the reliable transmission of data frames between network nodes.
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28 Dec, 2024 | Error Control in Data Link Layer
28 Dec, 2024
Data-link layer uses the techniques of error control simply to ensure and confirm that all the data frames or packets, i.e. bit streams of data, are transmitted or transferred from sender to receiver with certain accuracy. Using or providing error control at this data link layer is an optimization, it was never a requirement. Error control is basically process in data link layer of detecting or identifying and re-transmitting data frames that might be lost or corrupted during transmission. In both of these cases, receiver or destination does not receive correct data frame and sender or source does not even know anything about any such loss regarding data frames. Therefore, in such type of cases, both sender and receiver are provided with some essential protocols that are required to detect or identify such types of errors as loss of data frames. The Data-link layer follows a technique known as re-transmission of frames to detect or identify transit errors and also to take necessary actions that are required to reduce or remove such errors. Each and every time an error is detected during transmission, particular data frames are retransmitted and this process is known as ARQ (Automatic Repeat Request).
Ways of doing Error Control : There are basically two ways of doing Error control as given below :
Ways of Error Control
Error Detection : Error detection, as the name suggests, simply means detection or identification of errors. These errors may occur due to noise or any other impairments during transmission from transmitter to the receiver, in communication system. It is a class of techniques for detecting garbled i.e. unclear and distorted data or messages.
Error Correction : Error correction, as the name suggests, simply means correction or solving or fixing of errors. It simply means reconstruction and rehabilitation of original data that is error-free. But error correction method is very costly and very hard.
Various Techniques for Error Control : There are various techniques of error control as given below :1. Stop-and-Wait ARQ : Stop-and-Wait ARQ is also known as alternating bit protocol. It is one of the simplest flow and error control techniques or mechanisms. This mechanism is generally required in telecommunications to transmit data or information between two connected devices. Receiver simply indicates its readiness to receive data for each frame. In these, sender sends information or data packets to receiver. Sender then stops and waits for ACK (Acknowledgment) from receiver. Further, if ACK does not arrive within given time period i.e., time-out, sender then again resends frame and waits for ACK. But, if sender receives ACK, then it will transmit the next data packet to receiver and then again wait for ACK from receiver. This process to stop and wait continues until sender has no data frame or packet to send. 2. Sliding Window ARQ : This technique is generally used for continuous transmission error control. It is further categorized into two categories as given below :
Go-Back-N ARQ : Go-Back-N ARQ is form of ARQ protocol in which transmission process continues to send or transmit total number of frames that are specified by window size even without receiving an ACK (Acknowledgement) packet from the receiver. It uses sliding window flow control protocol. If no errors occur, then operation is identical to sliding window.
Selective Repeat ARQ : Selective Repeat ARQ is also form of ARQ protocol in which only suspected or damaged or lost data frames are only retransmitted. This technique is similar to Go-Back-N ARQ though much more efficient than the Go-Back-N ARQ technique due to reason that it reduces number of retransmission. In this, the sender only retransmits frames for which NAK is received. But this technique is used less because of more complexity between sender and receiver and each frame must be needed to be acknowledged individually.
The main difference between Go Back ARQ and Selective Repeat ARQ is that in Go Back ARQ, the sender has to retransmit the whole window of frame again if any of the frame is lost but in Selective Repeat ARQ only the data frame that is lost is retransmitted.
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20 May, 2024 | Design Issues in Data Link Layer
20 May, 2024
Prerequisite – Layers of OSI Model Data-link layer is the second layer after the physical layer. The data link layer is responsible for maintaining the data link between two hosts or nodes.
Before going through the design issues in the data link layer. Some of its sub-layers and their functions are as following below.
The data link layer is divided into two sub-layers :
Logical Link Control Sub-layer (LLC) – Provides the logic for the data link, Thus it controls the synchronization, flow control, and error checking functions of the data link layer. Functions are –
(i) Error Recovery.
(ii) It performs the flow control operations.
(iii) User addressing.
Media Access Control Sub-layer (MAC) – It is the second sub-layer of data-link layer. It controls the flow and multiplexing for transmission medium. Transmission of data packets is controlled by this layer. This layer is responsible for sending the data over the network interface card. Functions are –
(i) To perform the control of access to media.
(ii) It performs the unique addressing to stations directly connected to LAN.
(iii) Detection of errors.
Design issues with data link layer are :
1. Services provided to the network layer – The data link layer act as a service interface to the network layer. The principle service is transferring data from network layer on sending machine to the network layer on destination machine. This transfer also takes place via DLL (Data link-layer).
It provides three types of services:
Unacknowlwdged and connectionless services.
Acknowledged and connectionless services.
Acknowledged and connection-oriented services
Unacknowledged and connectionless services.
Here the sender machine sends the independent frames without any acknowledgement from the sender.
There is no logical connection established.
Acknowledged and connectionless services.
There is no logical connection between sender and receiver established.
Each frame is acknowledged by the receiver.
If the frame didn’t reach the receiver in a specific time interval it has to be sent again.
It is very useful in wireless systems.
Acknowledged and connection-oriented services
A logical connection is established between sender and receiver before data is trimester.
Each frame is numbered so the receiver can ensure all frames have arrived and exactly once.
2. Frame synchronization – The source machine sends data in the form of blocks called frames to the destination machine. The starting and ending of each frame should be identified so that the frame can be recognized by the destination machine.
3. Flow control – Flow control is done to prevent the flow of data frame at the receiver end. The source machine must not send data frames at a rate faster than the capacity of destination machine to accept them.
4. Error control – Error control is done to prevent duplication of frames. The errors introduced during transmission from source to destination machines must be detected and corrected at the destination machine.
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18 Apr, 2023 | Framing in Data Link Layer
18 Apr, 2023
Frames are the units of digital transmission, particularly in computer networks and telecommunications. Frames are comparable to the packets of energy called photons in the case of light energy. Frame is continuously used in Time Division Multiplexing process.
Framing is a point-to-point connection between two computers or devices consisting of a wire in which data is transmitted as a stream of bits. However, these bits must be framed into discernible blocks of information. Framing is a function of the data link layer. It provides a way for a sender to transmit a set of bits that are meaningful to the receiver. Ethernet, token ring, frame relay, and other data link layer technologies have their own frame structures. Frames have headers that contain information such as error-checking codes.
At the data link layer, it extracts the message from the sender and provides it to the receiver by providing the sender’s and receiver’s addresses. The advantage of using frames is that data is broken up into recoverable chunks that can easily be checked for corruption.
The process of dividing the data into frames and reassembling it is transparent to the user and is handled by the data link layer.
Framing is an important aspect of data link layer protocol design because it allows the transmission of data to be organized and controlled, ensuring that the data is delivered accurately and efficiently.
Problems in Framing
Detecting start of the frame: When a frame is transmitted, every station must be able to detect it. Station detects frames by looking out for a special sequence of bits that marks the beginning of the frame i.e. SFD (Starting Frame Delimiter).
How does the station detect a frame: Every station listens to link for SFD pattern through a sequential circuit. If SFD is detected, sequential circuit alerts station. Station checks destination address to accept or reject frame.
Detecting end of frame: When to stop reading the frame.
Handling errors: Framing errors may occur due to noise or other transmission errors, which can cause a station to misinterpret the frame. Therefore, error detection and correction mechanisms, such as cyclic redundancy check (CRC), are used to ensure the integrity of the frame.
Framing overhead: Every frame has a header and a trailer that contains control information such as source and destination address, error detection code, and other protocol-related information. This overhead reduces the available bandwidth for data transmission, especially for small-sized frames.
Framing incompatibility: Different networking devices and protocols may use different framing methods, which can lead to framing incompatibility issues. For example, if a device using one framing method sends data to a device using a different framing method, the receiving device may not be able to correctly interpret the frame.
Framing synchronization: Stations must be synchronized with each other to avoid collisions and ensure reliable communication. Synchronization requires that all stations agree on the frame boundaries and timing, which can be challenging in complex networks with many devices and varying traffic loads.
Framing efficiency: Framing should be designed to minimize the amount of data overhead while maximizing the available bandwidth for data transmission. Inefficient framing methods can lead to lower network performance and higher latency.
Types of framing
There are two types of framing:
1. Fixed-size: The frame is of fixed size and there is no need to provide boundaries to the frame, the length of the frame itself acts as a delimiter.
Drawback: It suffers from internal fragmentation if the data size is less than the frame size
Solution: Padding
2. Variable size: In this, there is a need to define the end of the frame as well as the beginning of the next frame to distinguish. This can be done in two ways:
Length field – We can introduce a length field in the frame to indicate the length of the frame. Used in Ethernet(802.3). The problem with this is that sometimes the length field might get corrupted.
End Delimiter (ED) – We can introduce an ED(pattern) to indicate the end of the frame. Used in Token Ring. The problem with this is that ED can occur in the data. This can be solved by:
1. Character/Byte Stuffing: Used when frames consist of characters. If data contains ED then, a byte is stuffed into data to differentiate it from ED.
Let ED = “$” –> if data contains ‘$’ anywhere, it can be escaped using ‘\O’ character. –> if data contains ‘\O$’ then, use ‘\O\O\O$'($ is escaped using \O and \O is escaped using \O).
Disadvantage – It is very costly and obsolete method.
2. Bit Stuffing: Let ED = 01111 and if data = 01111 –> Sender stuffs a bit to break the pattern i.e. here appends a 0 in data = 011101. –> Receiver receives the frame. –> If data contains 011101, receiver removes the 0 and reads the data.
Examples:
If Data –> 011100011110 and ED –> 0111 then, find data after bit stuffing.
--> 011010001101100
If Data –> 110001001 and ED –> 1000 then, find data after bit stuffing?
--> 11001010011
framing in the Data Link Layer also presents some challenges, which include:
Variable frame length: The length of frames can vary depending on the data being transmitted, which can lead to inefficiencies in transmission. To address this issue, protocols such as HDLC and PPP use a flag sequence to mark the start and end of each frame.
Bit stuffing: Bit stuffing is a technique used to prevent data from being interpreted as control characters by inserting extra bits into the data stream. However, bit stuffing can lead to issues with synchronization and increase the overhead of the transmission.
Synchronization: Synchronization is critical for ensuring that data frames are transmitted and received correctly. However, synchronization can be challenging, particularly in high-speed networks where frames are transmitted rapidly.
Error detection: Data Link Layer protocols use various techniques to detect errors in the transmitted data, such as checksums and CRCs. However, these techniques are not foolproof and can miss some types of errors.
Efficiency: Efficient use of available bandwidth is critical for ensuring that data is transmitted quickly and reliably. However, the overhead associated with framing and error detection can reduce the overall efficiency of the transmission.
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25 Aug, 2020 | Services provided by Data Link Layer
25 Aug, 2020
Prerequisite – Data Link Layer
Data Link Layer is generally representing protocol layer in program that is simply used to handle and control the transmission of data between source and destination machines. It is simply responsible for exchange of frames among nodes or machines over physical network media. This layer is often closest and nearest to Physical Layer (Hardware).
Data Link Layer is basically second layer of seven-layer Open System Interconnection (OSI) reference model of computer networking and lies just above Physical Layer.
This layer usually provides and gives data reliability and provides various tools to establish, maintain, and also release data link connections between network nodes. It is responsible for receiving and getting data bits usually from Physical Layer and also then converting these bits into groups, known as data link frames so that it can be transmitted further. It is also responsible to handle errors that might arise due to transmission of bits.
Service Provided to Network Layer :
The important and essential function of Data Link Layer is to provide an interface to Network Layer. Network Layer is third layer of seven-layer OSI reference model and is present just above Data Link Layer.
The main aim of Data Link Layer is to transmit data frames they have received to destination machine so that these data frames can be handed over to network layer of destination machine. At the network layer, these data frames are basically addressed and routed.
This process is shown in diagram :
1. Actual Communication :
In this communication, physical medium is present through which Data Link Layer simply transmits data frames. The actual path is Network Layer -> Data link layer -> Physical Layer on sending machine, then to physical media and after that to Physical Layer -> Data link layer -> Network Layer on receiving machine.
2. Virtual Communication :
In this communication, no physical medium is present for Data Link Layer to transmit data. It can be only be visualized and imagined that two Data Link Layers are communicating with each other with the help of or using data link protocol.
Types of Services provided by Data Link Layer :
The Data link layer generally provides or offers three types of services as given below :
1. Unacknowledged Connectionless Service
2. Acknowledged Connectionless Service
3. Acknowledged Connection-Oriented Service
Unacknowledged Connectionless Service :
Unacknowledged connectionless service simply provides datagram styles delivery without any error, issue, or flow control. In this service, source machine generally transmits independent frames to destination machine without having destination machine to acknowledge these frames.
This service is called as connectionless service because there is no connection established among sending or source machine and destination or receiving machine before data transfer or release after data transfer.
In Data Link Layer, if anyhow frame is lost due to noise, there will be no attempt made just to detect or determine loss or recovery from it. This simply means that there will be no error or flow control. An example can be Ethernet.
Acknowledged Connectionless Service :
This service simply provides acknowledged connectionless service i.e. packet delivery is simply acknowledged, with help of stop and wait for protocol.
In this service, each frame that is transmitted by Data Link Layer is simply acknowledged individually and then sender usually knows whether or not these transmitted data frames received safely. There is no logical connection established and each frame that is transmitted is acknowledged individually.
This mode simply provides means by which user of data link can just send or transfer data and request return of data at the same time. It also uses particular time period that if it has passed frame without getting acknowledgment, then it will resend data frame on time period.
This service is more reliable than unacknowledged connectionless service. This service is generally useful over several unreliable channels, like wireless systems, Wi-Fi services, etc.
Acknowledged Connection-Oriented Service :
In this type of service, connection is established first among sender and receiver or source and destination before data is transferred.
Then data is transferred or transmitted along with this established connection. In this service, each of frames that are transmitted is provided individual numbers first, so as to confirm and guarantee that each of frames is received only once that too in an appropriate order and sequence.
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27 Feb, 2025 | CSS Tutorial
27 Feb, 2025
CSS stands for Cascading Style Sheets. It is a stylesheet language used to style and enhance website presentation.CSS is one of the main three components of a webpage along with HTML and JavaScript.HTML adds Structure to a web page.JavaScript adds logic to it and CSS makes it visually appealing or stylish. It controls the layout of a web page i.e. how HTML elements will be displayed on a webpage.CSS was released (in 1996), 3 years after HTML (in 1993). The main idea behind its use is, it allows the separation of content (HTML) from presentation (CSS). This makes websites easier to maintain and more flexible.How to Add CSS to HTML?There are three different ways to add CSS styles to an HTML document:1. Inline CSSUse the style attribute on the HTML element to add styles to the web page. It is used for small projects.
HTML
<!-- File name: index.html -->
<html>
<body>
<!-- Using Inline CSS -->
<h3 style="text-align: center;">
Welcome To GFG
</h3>
<p>CSS Tutorial - GeeksforGeeks</p>
</body>
</html>
2. Internal CSSPlace the CSS styles within a <style> tag inside the HTML file, usually inside the <head> section.
HTML
<!-- File name: index.html -->
<html>
<head>
<!-- Using Internal CSS -->
<style>
h3 {
color: green;
}
</style>
</head>
<body>
<!-- CSS is applied here -->
<h3>Welcome To GFG</h3>
<p>CSS Tutorial - GeeksforGeeks</p>
</body>
</html>
3. External CSSCreate a separate CSS file with a .css extension and link this file to your HTML file using the <link> tag. It consider the best practice to add CSS into HTML File.
HTML
<!-- File name: index.html -->
<html>
<head>
<!-- Importing External CSS -->
<link rel="stylesheet" href="style.css" />
</head>
<body>
<p>CSS Tutorial - GeeksforGeeks</p>
</body>
</html>
CSS
/* Write CSS Here *//* External CSS */
/* File name: style.css */
p {
text-align: center;
}
CSS FundamentalsThis section covers the fundamental topics of CSS.Introduction to CSSCSS SyntaxCSS CommentsCSS RulesetCSS SelectorsCSS CombinatorsCSS Measurement UnitsCSS PropertiesCSS DisplayCSS BackgroundsCSS BordersCSS FontCSS ColorsCSS MarginsCSS PaddingCSS PositionCSS White SpaceCSS Height and WidthCSS OverFlowCSS ShadowStyling HTML Elements with CSSThis Section contains all the information about various styling techniques in CSS.CSS TextCSS ImagesCSS ListsCSS TablesCSS FormsCSS linksCSS MediaCSS Projects for BeginnersNow you have a basic understanding of CSS. So start with some beginner level projects to clear your concept and to implement in real world applications.Design Geeks for Geeks logoMeet the Team Page DesignTribute Page DesignDesign a web pageContact Us Page DesignCreate Browsers WindowDesign Email NewsletterCSS Responsive DesignThis Section contains all the designing techniques in CSS used for various use casesCSS Website LayoutCSS Box ModelResponsive DesignCSS PositioningCSS Nesting style rulesLogic Implementations in CSSThis Section Covers all the mathematical logic that can be applied in CSS.CSS CountersCSS ColumnsCSS Conditional RulesCSS Logical PropertiesCSS Math functionsInteresting Facts in CSSThis section covers all the interesting facts and features that make CSS a powerful and versatile tool for web design. CSS Image StylingCSS Text StylingCSS GridCSS Box ModelCSS FlexboxComplete CSSAdvanced CSS TopicsThis Section contains various information about advanced topics in CSSCSS SpecificityCSS VariablesCSS InheritanceCSS TransformsCSS TransitionsCSS AnimationsCSS VariablesCSS FunctionCSS Shadow DOMCSS Online QuizzesTo achieve a solid understanding of CSS, it’s essential to engage with CSS quizzes and MCQs. These CSS quizzes can enhance your ability to solve similar questions and improve your problem-solving skills.Here are some quiz articles related to CSS 3:Basic CSS QuizIntermediate CSS QuizAdvanced CSS QuizCSS Interview QuestionsDon't miss our CSS Interview Questions and Answers before going for your interview.CSS Interview Questions and Answers (2025) For BeginnersAdvance CSS Interview Questions and Answers (2025) For ExperiencedBonus Resource: CSS Cheat-Sheet for Beginners (2025) - A Basic Guide to CSS.CSS FrameworksCSS Frameworks are a collection of pre-written CSS files (and sometimes JavaScript components) that offer reusable code for common tasks such as buttons, grids, forms, and navigation menus.These CSS frameworks provide a set of standardized, reusable components and a predefined structure, allowing developers to create responsive and aesthetically pleasing websites with reduced effort.Other Useful CSS ResourcesCSS Complete Guide - A to Z CSS ConceptsLearn CSS: Free CSS Course For BeginnersCSS VersionsCSS 1: The foundation, released in 1996, introduced basic styling capabilities for fonts, colors, and margins.CSS 2: Expanded in 1998, adding positioning elements, pseudo-classes, and improved layout options.CSS 2.1: Further refinements in 2004, including improvements to inheritance and box model properties.CSS 3: Introduced from 2001 onwards, CSS3 isn't a single version but a collection of modules adding features like animations, media queries, and web fonts. It's constantly evolving.CSS Preprocessors This section contains information about the preprocessors used in CSS.CSS Preprocessor SASSCSS Preprocessor LESSCSS Preprocessors LESS vs SASSWhy learn CSS?CSS is essential for modern web development. Here's why you should learn it:1. Enhance Visual AppealCSS allows you to style your web pages, making them visually appealing and engaging. Here’s why it matters:User Experience (UX): Well-designed websites attract and retain users. CSS enables you to create beautiful layouts, choose fonts, and apply colors that resonate with your audience.2. Responsive Design In today’s mobile-first world, responsive design is crucial. CSS empowers you to:Media Queries: Adapt your layout based on screen size (desktop, tablet, mobile).Flexbox and Grid: Create flexible, adaptive designs that look great on any device.3. Improve Website Performance and SEOCSS indirectly impacts your site’s SEO. Here’s how:Page Load Speed: Well-organized CSS files load faster, improving user experience. Google considers page speed as a ranking factor.Structured Content: Properly styled HTML (thanks to CSS) enhances readability for search engines and users.Mobile Friendliness: Responsive CSS ensures your site performs well on mobile devices, positively affecting rankings.4. Efficient MaintenanceCSS promotes clean code and separation of concerns:Modularity: Separate CSS files allow easy updates without affecting other parts of your site.Consistency: Apply styles consistently across your site using classes and IDs.5. Career OpportunitiesLearning CSS opens doors to various roles:Front-End Developer: Mastering CSS is essential for front-end development.Web Designer: CSS skills are fundamental for creating stunning web layouts.Full-Stack Developer: Understanding CSS complements back-end skills.CSS Tutorial - FAQsWhat is CSS?CSS (Cascading Style Sheets) is a stylesheet language used to control the presentation and layout of HTML elements on a webpage. It defines styles such as colors, fonts, spacing, and positioning, enhancing the visual appearance of web content.What does "Cascading" mean in CSS?"Cascading" means that styles can be applied in different ways, and the browser has rules to decide which style wins if there are conflicts. Think of it like water flowing down, different streams (styles) can combine, and some are stronger than others.What are the types of CSS?The term "types of CSS" refers to the different methods used to apply CSS to an HTML document. These methods include Inline CSS, Internal CSS, and External CSS.How do I link an external CSS file to an HTML document?Use the <link> element within the <head> section of your HTML document. Example: <link rel="stylesheet" type="text/css" href="styles.css">What are some common challenges faced when working with CSS?Cross-browser compatibility issues, specificity conflicts, maintaining large codebases, and debugging complex layouts are common challenges.
Ready to go from coding beginner to development pro? Our DSA to Development Coding Guide has everything you need to crush coding interviews and ace real-world projects! Limited spots available!Enroll Now and Transform Your Coding Skills! Also get 90% fee refund on completing 90% of the course in 90 days! 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24 Jul, 2024 | How to Play and Pause CSS Animations using CSS Custom Properties ?
24 Jul, 2024
In this article, we will see how to control CSS animations using custom properties, along with knowing their implementation through examples.
CSS Animations are the automatic transitions that can be made on the web page which lets an element change from one style to another. CSS Custom Properties are variables defined by CSS developers that contain specific values to be reused throughout a document. They are set using custom property notation and are accessed using the var() function.
For instance, the –main-by-color is the custom property that is scoped for the entire web page ( :root ) and accessed like var(–main-bg-color, red) where the second argument is the default value.
:root { --main-bg-color : green;}div {background-color : var(--main-bg-color,red)}Adding CSS Animations using Custom Properties: To play a CSS animation initially we need to add the animation using the @keyframes rule. But, we will add the animation with custom properties. The animation starts playing as soon as it is embedded in the element
We will understand the above concepts through examples.
Example 1: In the below code example, we will make a simple animation of a slide. we are adding, –animn , –animdur , –animps as custom properties for animation-name , animation-duration , animation-play-state respectively. infinite as the iteration count, 3s as duration & alternate as the animation direction.
HTML
<!DOCTYPE html>
<html>
<head>
<title>
How to Play and Pause CSS Animations
using CSS Custom Properties ?
</title>
<style>
.block{
background-color: tomato;
padding : 10px;
width : 200px;
text-align: center;
--anim : slide;
--animdur : 3s;
--animps : running;
animation: var(--animn, slide)
var(--animdur, 0s) 0s infinite alternate
var(--animps,running);
}
@keyframes slide {
from { margin-left: 0%; }
to { margin-left: calc(100% - 250px); }
}
</style>
</head>
<body>
<h1 style="color:green">GeeksForGeeks</h1>
<h3>How to Play and Pause CSS Animations
using CSS Custom Properties ?
</h3>
<div class="block">I Am Moving</div>
</body>
</html>
Output: The tomato color box is sliding after we added the animation as shown in the code above. Now, you can toggle the same animation using the custom properties and the :checked pseudo-class.
https://media.geeksforgeeks.org/wp-content/uploads/20240724152550/ezgifcom-gif-to-mp4-converter-(24).mp4
Toggling (play/pause) the CSS animations: We can toggle the animations in two ways :
By changing the animation durationBy using animation-play-stateWe will understand both approaches for toggling the CSS Animations sequentially & will know their implementation through the examples.
By changing the animation duration: In this method, you simply change the value of animation to zero to pause and some positive value to play
Approach: The following approach will be utilized to change the animation duration:
Create an <div> element and style it with CSSSelect the <div> and add an animation property with duration 0s through a custom variable (animation-duration)Create some animation as shown in the below exampleAdd a radio button to the documentAdd a pseudo-class :checked to the radio button and with that add a property where you are changing the custom variable from 0s to some positive valueNow you can toggle the animation with the radio buttonExample 2: In this example (which is the same as above), we have used the :checked pseudo-class to toggle the animation. Also, we are changing the –animdur between 0s to 3s to toggle the sliding of the element.
HTML
<!DOCTYPE html>
<html>
<head>
<title>
How to Play and Pause CSS Animations
using CSS Custom Properties ?
</title>
<style>
input[type]:checked ~ .block{
--animdur : 3s;
}
.block{
background-color: tomato;
padding : 10px;
width : 200px;
text-align: center;
--anim : slide;
--animdur : 0s;
animation: var(--animn, slide)
var(--animdur, 0s) 0s infinite alternate;
}
@keyframes slide {
from { margin-left: 0%; }
to { margin-left: calc(100% - 250px); }
}
</style>
</head>
<body>
<h1 style="color:green">GeeksForGeeks</h1>
<h3>
How to Play and Pause CSS Animations
using CSS Custom Properties ?
</h3>
<input type="checkbox" />
<div class="block">I Am Moving</div>
</body>
</html>
Output: This method does not retain the position of the element which is moving, use the second method to do the actual animation.
https://media.geeksforgeeks.org/wp-content/uploads/20240724152550/ezgifcom-gif-to-mp4-converter-(24).mp4By using animation-play-state: You can use the CSS property animation-play-state to toggle between the state of the animation.
Approach: The following approach will be utilized for the animation-play-state:
Create a <div/> element and style it with CSSSelect the <div/> and add an animation property with the paused state through a custom variable (animation-play-state)Create some animation as shown in the below exampleAdd a radio button to the documentAdd a pseudo-class :checked to the radio button and with that add a property where you are changing the custom variable from paused to runningNow you can toggle the animation with the radio buttonExample 3: In this example(which is the same as above), we have used the :checked pseudo-class to toggle the animation. –animps is the important custom property that accepts two values [paused / running] that are used to toggle animation. On check of the checkbox, the animation-play-state is changed to running.
HTML
<!DOCTYPE html>
<html>
<head>
<title>
How to Play and Pause CSS Animations
using CSS Custom Properties ?
</title>
<style>
input[type]:checked ~ .block{
--animps : running;
}
.block{
background-color: tomato;
padding : 10px;
width : 200px;
text-align: center;
--anim : slide;
--animps : paused;
animation: var(--animn, slide) 3s 0s infinite alternate
var(--animps,paused);
}
@keyframes slide {
from { margin-left: 0%; }
to { margin-left: calc(100% - 250px); }
}
</style>
</head>
<body>
<h1 style="color:green">GeeksForGeeks</h1>
<h3>
How to Play and Pause CSS Animations
using CSS Custom Properties ?
</h3>
<input type="checkbox" />
<div class="block">I Am Moving</div>
</body>
</html>
Output:
https://media.geeksforgeeks.org/wp-content/uploads/20240724152550/ezgifcom-gif-to-mp4-converter-(24).mp4
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Take the Three 90 Challenge today. | CSS/CSS Tutorial/How to Play and Pause CSS Animations using CSS Custom Properties ? | https://www.geeksforgeeks.org/how-to-play-and-pause-css-animations-using-css-custom-properties?ref=asr10 | CSS | How to Play and Pause CSS Animations using CSS Custom Properties ? | CSS, How to Play and Pause CSS Animations using CSS Custom Properties ?, CSS Tutorial | GeeksforGeeks | [-0.0299271848, 0.0137054864, -0.02575971, 0.00891682319, 0.0458894, 0.0300058164, -0.0329623632, 0.00341064529, -0.024501605, 0.0302259848, 0.020680109, 0.00660112221, 0.0266089309, -0.0713345855, 0.000411587243, -0.0161666553, -0.0385609344, 0.0271908045, -0.0266403835, 0.0022468979, -0.00265774783, 0.000554844213, -0.0848592147, -0.0173146762, 0.00340081635, 0.0220640246, -0.00678197481, 0.0378689766, -0.0225829929, 0.00862588547, 0.0196421724, 0.00228817947, 0.0147748766, -0.000722919242, -0.0298957322, -0.0197994355, 0.00181442406, -0.00774914352, -0.0440336913, -0.0192490146, 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08 Jun, 2023 | CSS pause-before Property
08 Jun, 2023
The CSS pause-before property is used to define the pause time before the element. This property can be seen as the speech media equivalent to the margin-top property in visual media.
Syntax:
pause-before: time | percentage;
Parameters: This property accepts two parameters as mentioned above and described below:
time: This parameter holds a value that pause will be the length of the value specified.
percentage: The length of the pause is depended on the value of speech-rate. If it is set to pause-before: 50% that would yield 250ms.
Example 1:
HTML
<!DOCTYPE html>
<html>
<head>
<style>
audio {
pause-before: 20ms;
}
</style>
</head>
<body style="text-align: center;">
<h1 style="color: green;">GeeksforGeeks</h1>
<p>CSS pause-before Property</p>
<audio controls>
<source src=
"https://media.geeksforgeeks.org/wp-content/uploads/20190625153922/frog.mp3"
type="audio/mp3">
</audio>
</body>
</html>
Output:
Example 2:
HTML
<!DOCTYPE html>
<html>
<head>
<style>
audio {
pause-before: 25%;
}
</style>
</head>
<body style="text-align: center;">
<h1 style="color: green;">GeeksforGeeks</h1>
<p>CSS pause-before Property</p>
<audio controls>
<source src=
"https://media.geeksforgeeks.org/wp-content/uploads/20190625153922/frog.mp3"
type="audio/mp3">
</audio>
</body>
</html>
Output:
Supported Browsers: This property is deprecated in CSS3 so the major browsers are not supported by this property
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Take the Three 90 Challenge today. | CSS/CSS Tutorial/How to Play and Pause CSS Animations using CSS Custom Properties ?/CSS pause-before Property | https://www.geeksforgeeks.org/css-pause-before-property?ref=asr10 | CSS | CSS pause-before Property | CSS, How to Play and Pause CSS Animations using CSS Custom Properties ?, CSS Tutorial, CSS pause-before Property | GeeksforGeeks | [-0.0273691602, -0.00101420924, -0.0139671098, 0.0215302128, 0.0384530202, -0.0192554872, -0.0225009564, 0.0334689058, -0.0334109515, 0.00478851655, 0.00738923857, 0.0155463787, 0.0107723512, -0.0388587, 0.00857006758, -0.0215012357, -0.031585373, 0.0262390412, 0.00416550227, 0.0270214323, -0.0164301898, -0.00997547247, -0.058099702, -0.0370041467, -0.031034803, 0.0226458441, -0.0102580022, 0.0320779905, -0.00579910353, 0.00298648397, 0.0246597733, 0.0157637093, 0.0100913821, -0.0427126959, -0.0541587733, 0.0155898444, 0.0275575127, 0.00219866075, -0.030252412, -0.038974613, -0.011293944, 0.0114460755, 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17 Jan, 2020 | p5.js | pause() Function
17 Jan, 2020
The pause() function is an inbuilt function in p5.js library. This function is used to pause the played audio on the web. The pause function should call after the play() function. If you call before that it has nothing to pause.
Syntax:
pause( startTime )
Note: All the sound-related functions only work when the sound library is included in the head section of the index.html file.
Parameter: This function accepts a single parameter as mentioned above and described below:
startTime: This parameter holds an integer number as seconds that defines the scheduled event and it is an optional parameter.
Below given example illustrate the p5.js pause() function in JavaScript:
Example:
var sound;
function preload() {
// Initialize sound
sound = loadSound("song.mp3");
}
function setup() {
sound.loop();
}
function keyTyped() {
if (key == 'g') {
sound.pause();
}
}
function keyReleased() {
if (key == 'g') {
sound.play();
}
}
Online editor: https://editor.p5js.org/
Environment Setup: https://www.geeksforgeeks.org/p5-js-soundfile-object-installation-and-methods/
Supported Browsers: The browsers supported by p5.js pause() function are listed below:
Google Chrome
Internet Explorer
Firefox
Safari
Opera
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Take the Three 90 Challenge today. | CSS/CSS Tutorial/How to Play and Pause CSS Animations using CSS Custom Properties ?/CSS pause-before Property/p5.js | pause() Function | https://www.geeksforgeeks.org/p5-js-pause-function?ref=asr6 | CSS | p5.js | pause() Function | CSS pause-before Property, CSS, How to Play and Pause CSS Animations using CSS Custom Properties ?, CSS Tutorial, p5.js | pause() Function | GeeksforGeeks | [-0.0269531459, 0.00282482035, -0.0143421637, 0.0358487517, 0.00929510687, -0.0167258661, -0.0243563764, 0.039311111, -0.030308973, 0.0276456177, -0.0170055181, 0.0577415228, -7.83400756e-05, -0.034703508, -0.00199751579, -0.0211736672, -0.0468484052, 0.0152477035, -0.00874246098, 0.00410489505, -0.00738415029, 0.00176447234, -0.0313476808, -0.030628575, 0.0030944848, 0.00583274616, -0.0208274312, 0.0230113827, -0.0295632333, -0.00496382685, 0.00878241099, 0.0156072564, -0.0102006476, -0.0192161016, -0.00631547906, 0.00378529239, 0.00053142244, -0.00546986423, 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12 Oct, 2021 | Node.js Stream readable.pause() Method
12 Oct, 2021
The readable.pause() method is an inbuilt application programming interface of Stream module which is used to stop the flowing mode from emitting ‘data’ events. If any data that becomes accessible will continue to exist in the internal buffer.
Syntax:
readable.pause()
Parameters: This method does not accept any parameters.
Return Value: If this method is used then the reading of data is paused at that time.
Below examples illustrate the use of readable.pause() method in Node.js:
Example 1:
// Node.js program to demonstrate the
// readable.pause() method
// Including fs module
const fs = require('fs');
// Constructing readable stream
const readable = fs.createReadStream("input.txt");
readable.on('data', (chunk) => {
console.log(`${chunk}`);
});
// Calling pause method
readable.pause();
// Checking if paused or not
readable.isPaused();
Output:
true
Example 2:
// Node.js program to demonstrate the
// readable.pause() method
// Include fs module
const fs = require('fs');
// Create readable stream
const readable = fs.createReadStream("input.txt");
// Handling data event
readable.on('data', (chunk) => {
console.log(`Received ${chunk.length} bytes of data.`);
// Calling pause method
readable.pause();
// After this any data will be displayed
// after 1 sec.
console.log('No further data will be displayed for 1 second.');
// Using setTimeout function
setTimeout(() => {
console.log('Now data starts flowing again.');
readable.resume();
}, 1000);
});
// Displays that program
// is ended
console.log("Program ends!!");
Output:
Program ends!!
Received 5 bytes of data.
No further data will be displayed for 1 second.
Now data starts flowing again.
However, you can see while running, that after the execution of pause() method, no further data will be displayed for 1 second.
Reference: https://nodejs.org/api/stream.html#stream_readable_pause.
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Take the Three 90 Challenge today. | CSS/CSS Tutorial/How to Play and Pause CSS Animations using CSS Custom Properties ?/CSS pause-before Property/p5.js | pause() Function/Node.js Stream readable.pause() Method | https://www.geeksforgeeks.org/node-js-stream-readable-pause-method?ref=asr10 | CSS | Node.js Stream readable.pause() Method | CSS pause-before Property, CSS, How to Play and Pause CSS Animations using CSS Custom Properties ?, Node.js Stream readable.pause() Method, CSS Tutorial, p5.js | pause() Function | GeeksforGeeks | [-0.0391304493, 0.0232811514, -0.0099158, 0.06318409, 0.0326309055, -0.0249859504, -0.036546614, 0.0286885593, -0.025665205, 0.0242401, 0.0067426106, 0.0648888871, 0.00631308137, -0.0207772292, 0.0180735253, -0.0469352268, -0.0286352839, 0.0229215454, 0.00560052879, 0.0233477466, -0.0013568463, -0.00165651785, 0.00582028786, -0.0218427293, -0.00522427447, 0.00913665351, -0.0249060374, 0.00706559, -0.0182333514, -0.01602244, 0.00312324381, 0.0267040674, 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05 Jun, 2024 | Node.js Stream readable.resume() Method
05 Jun, 2024
Node.js streams are powerful tools for handling data transfer efficiently, especially when dealing with large datasets or real-time data. The readable.resume() method is a part of the readable stream interface, playing a crucial role in managing the flow of data. This article will delve into what readable.resume() does, how it works, and when to use it.
Table of Content
What is a Readable Stream What is readable.resume( )How Does readable.resume( ) WorkWhat is a Readable Stream In Node.js, a readable stream is an abstraction for a source of data that you can read from. Examples include reading from a file, receiving HTTP requests, or processing data from other data sources. Readable streams are instances of the Readable class, which is part of the stream module.
Readable streams can operate in two modes:
Paused Mode: The stream does not emit data events and you must explicitly call methods like read() to get data.Flowing Mode: The stream emits data events as soon as data is available, and it is automatically consumed.What is readable.resume( )The readable.resume() method is used to switch a readable stream into flowing mode. When a stream is in flowing mode, data is read from the underlying source and provided to your program without requiring explicit calls to read().
How Does readable.resume( ) Work ?When you call readable.resume(), the stream starts emitting data events, delivering chunks of data to the provided listeners. This method is particularly useful when you want to process data as it becomes available, rather than waiting for the entire dataset to be loaded.
Syntax:
readable.resume()In the below example:
A readable stream is created from a file named example.txt.The data event listener logs each chunk of data received.The end event listener logs a message when the stream ends.The resume() method is called to switch the stream to flowing mode and start processing data immediately.const fs = require('fs');// Create a readable stream from a fileconst readableStream = fs.createReadStream('example.txt');// Handle the data eventreadableStream.on('data', (chunk) => { console.log(`Received ${chunk.length} bytes of data.`); console.log(chunk.toString());});// Handle the end eventreadableStream.on('end', () => { console.log('No more data.');});// Resume the stream to start flowing datareadableStream.resume();Example 1: Below examples illustrate the use of readable.resume() method in Node.js.
javascript
// Node.js program to demonstrate the
// readable.resume() method
// Including fs module
const fs = require('fs');
// Constructing readable stream
const readable = fs.createReadStream("input.text");
readable.on('data', (chunk) => {
console.log(`${chunk}`);
});
// Calling pause method
readable.pause();
// Calling resume method
readable.resume();
console.log("Data starts flowing again!!");
Output:
Data starts flowing again!!Hello!!!Example 2: Below examples illustrate the use of readable.resume() method in Node.js.
App.js
// Node.js program to demonstrate the
// readable.resume() method
// Include fs module
const fs = require('fs');
// Create readable stream
const readable = fs.createReadStream("input.text");
// Handling data event
readable.on('data', (chunk) => {
console.log(`${chunk}`);
// Calling pause method
readable.pause();
// After this any data will be displayed
// after 3 sec.
console.log('No additional data will be '
+ 'displayed for 3 seconds.');
// Using setTimeout function
setTimeout(() => {
console.log('Now data starts flowing again.');
// Calling resume method
readable.resume();
}, 3000);
});
// Displays that program
// is ended
console.log("Program ends!!");
Output:
Program ends!!Hello!!!No additional data will be displayed for 3 seconds.Now data starts flowing again.When to Use readable.resume()Processing Data in Real-Time: Use resume() when you need to handle data as soon as it arrives, such as streaming media or real-time analytics.Avoiding Memory Overhead: By processing data in chunks, you avoid loading the entire dataset into memory, which is beneficial for handling large files.Compatibility with Event Listeners: If you have set up data event listeners and want to ensure they start receiving data, resume() will trigger the flow.Important ConsiderationsError Handling: Always attach an error event listener to handle potential errors in the stream.Backpressure: While resume() switches the stream to flowing mode, be aware of backpressure mechanisms that help manage the rate of data flow, preventing overwhelming the application.Pausing a Stream: If you need to temporarily stop the flow of data, you can call readable.pause().ConclusionThe readable.resume() method is a crucial tool in the Node.js streaming API, enabling efficient, real-time data processing. By understanding how to switch between paused and flowing modes, you can better manage data flow and build performant, scalable applications. Remember to handle errors gracefully and consider backpressure when dealing with high-throughput data streams.
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Take the Three 90 Challenge today. | CSS/CSS Tutorial/How to Play and Pause CSS Animations using CSS Custom Properties ?/CSS pause-before Property/p5.js | pause() Function/Node.js Stream readable.pause() Method/Node.js Stream readable.resume() Method | https://www.geeksforgeeks.org/node-js-stream-readable-resume-method?ref=asr10 | CSS | Node.js Stream readable.resume() Method | CSS pause-before Property, CSS, How to Play and Pause CSS Animations using CSS Custom Properties ?, Node.js Stream readable.resume() Method, Node.js Stream readable.pause() Method, CSS Tutorial, p5.js | pause() Function | GeeksforGeeks | [-0.0302309804, 0.0127361249, -0.0112693924, 0.0506185591, 0.0139258076, -0.00107254798, -0.0304102469, 0.0237447638, -0.027199734, 0.0342889391, 0.0219683889, 0.0553446934, 0.0190186277, -0.0317954943, 0.00222658087, -0.0276397541, -0.014031738, 0.0104463929, -0.00911818538, 0.007908131, -0.0215772595, 0.0167859346, -0.017177064, -0.00140256272, -0.00700364634, 0.00950116571, 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12 Oct, 2021 | Node.js Readable Stream resume Event
12 Oct, 2021
The ‘resume’ Event in a Readable Stream is emitted when stream.resume() is being called and readableFlowing property is not true.
Syntax:
Event: 'resume'
Return Value: It is emitted if readable.resume() is being called else it is not emitted.
Below examples illustrate the use of resume event in Node.js:
Example 1:
// Node.js program to demonstrate the
// readable resume event
// Including fs module
const fs = require('fs');
// Constructing readable stream
const readable = fs.createReadStream("input.txt");
// Handling data event
readable.on('data', (chunk) => {
console.log(`${chunk}`);
});
// Calling pause method
readable.pause()
// Calling resume method
readable.resume();
// Handling resume event
readable.on('resume', () => {
console.log("resume emitted!");
});
console.log("Program ends....");
Output:
Program ends....
resume emitted!
GeeksforGeeks
Example 2:
// Node.js program to demonstrate the
// readable resume event
// Including fs module
const fs = require('fs');
// Constructing readable stream
const readable = fs.createReadStream("input.txt");
// Handling data event
readable.on('data', (chunk) => {
console.log(`${chunk}`);
// Calling pause method
readable.pause();
// After this any data will be displayed
// after 3 sec.
console.log('No additional data will "
+ "be displayed for 3 seconds.');
// Using setTimeout function
setTimeout(() => {
console.log('Now data starts flowing again.');
// Calling resume method
readable.resume();
// Emitting resume event
readable.on("resume", () => {
console.log("resume emitted!");
});
}, 3000);
});
console.log("Done....");
Output:
Done....
GeeksforGeeks
No additional data will be displayed for 3 seconds.
Now data starts flowing again.
resume emitted!
Reference: https://nodejs.org/api/stream.html#stream_event_resume
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Take the Three 90 Challenge today. | CSS/CSS Tutorial/How to Play and Pause CSS Animations using CSS Custom Properties ?/CSS pause-before Property/p5.js | pause() Function/Node.js Stream readable.pause() Method/Node.js Stream readable.resume() Method/Node.js Readable Stream resume Event | https://www.geeksforgeeks.org/node-js-readable-stream-resume-event?ref=asr3 | CSS | Node.js Readable Stream resume Event | CSS pause-before Property, CSS, How to Play and Pause CSS Animations using CSS Custom Properties ?, Node.js Stream readable.resume() Method, Node.js Readable Stream resume Event, Node.js Stream readable.pause() Method, CSS Tutorial, p5.js | pause() Function | GeeksforGeeks | [-0.0320430212, 0.016623931, -0.0120484065, 0.039788425, 0.00119677244, 0.00058718049, -0.0261479095, 0.0390712582, -0.0275535565, 0.0176853389, 0.000547736301, 0.04391931, 0.0171259493, -0.00533213699, 0.0207404699, -0.0164087825, -0.0266068969, 0.00959569495, 0.00214612228, 0.0133966804, -0.0201667361, 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12 Oct, 2021 | Node.js Readable Stream close Event
12 Oct, 2021
The ‘close’ Event in a Readable Stream is emitted when the stream and any of its hidden resources are being closed This event implies that no further events can be emitted, and no further computations can take place. Moreover, if a Readable stream is created with the emitClose option then it can always emit ‘close’ event.
Syntax:
Event: 'close '
Below examples illustrate the use of close event in Node.js:
Example 1:
// Node.js program to demonstrate the
// readable close event
// Including fs module
const fs = require('fs');
// Constructing readable stream
const readable = fs.createReadStream("input.txt");
// Calling close method
readable.close();
// Handling close event
readable.on("close", () => {
console.log("Stream ended");
});
console.log("Done...");
Output:
Done...
Stream ended
Example 2:
// Node.js program to demonstrate the
// readable close event
// Including fs module
const fs = require('fs');
// Constructing readable stream
const readable = fs.createReadStream("input.txt");
// Handling close event
readable.on("close", () => {
console.log("Stream ended");
});
console.log("Done...");
Output:
Done...
Here, close method is not called so close event is not emitted.
Reference: https://nodejs.org/api/stream.html#stream_event_close_1.
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Take the Three 90 Challenge today. | CSS/CSS Tutorial/How to Play and Pause CSS Animations using CSS Custom Properties ?/CSS pause-before Property/p5.js | pause() Function/Node.js Stream readable.pause() Method/Node.js Stream readable.resume() Method/Node.js Readable Stream resume Event/Node.js Readable Stream close Event | https://www.geeksforgeeks.org/node-js-readable-stream-close-event?ref=asr7 | CSS | Node.js Readable Stream close Event | Node.js Readable Stream close Event, CSS pause-before Property, CSS, How to Play and Pause CSS Animations using CSS Custom Properties ?, Node.js Stream readable.resume() Method, Node.js Readable Stream resume Event, Node.js Stream readable.pause() Method, CSS Tutorial, p5.js | pause() Function | GeeksforGeeks | [-0.0183119532, -0.00549751241, -0.00827244762, 0.0667031556, 0.00282892841, -0.0170161109, -0.00755253527, 0.030786071, -0.0270687044, -0.00101033156, -0.00975154061, 0.0157464463, -0.0127555383, -0.0260477383, 0.0238487329, -0.0267152935, 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12 Oct, 2021 | Node.js Stream readable.destroyed Property
12 Oct, 2021
The readable.destroyed property is an inbuilt application programming interface of Stream module which is used to check the readable.destroy() function is being called or not.
Syntax:
readable.destroyed
Return Value: It returns true if readable.destroy() method is being called otherwise returns false.
Below examples illustrate the use of readable.destroyed property in Node.js:
Example 1:
// Node.js program to demonstrate the
// readable.destroyed Property
// Include fs module
const fs = require("fs");
// Constructing readable stream
const readable = fs.createReadStream("input.txt");
// Instructions for reading data
readable.on('readable', () => {
let chunk;
// Using while loop and calling
// read method with parameter
while (null !== (chunk = readable.read())) {
// Displaying the chunk
console.log(`read: ${chunk}`);
}
});
// Handling error event
readable.on('error', err => {
console.log(err);
});
// Calling destroy method
// with parameter
readable.destroy('error');
// Displays that the stream is
// destroyed
console.log("Stream destroyed");
// Calling readable.destroyed
// Property
readable.destroyed;
Output:
Stream destroyed
true
error
Example 2:
// Node.js program to demonstrate the
// readable.destroyed Property
// Include fs module
const fs = require("fs");
// Constructing readable stream
const readable = fs.createReadStream("input.txt");
// Instructions for reading data
readable.on('readable', () => {
let chunk;
// Using while loop and calling
// read method with parameter
while (null !== (chunk = readable.read())) {
// Displaying the chunk
console.log(`read: ${chunk}`);
}
});
// Displays that the stream is
// destroyed
console.log("Program completed!!");
// Calling readable.destroyed
// Property
readable.destroyed;
Output:
Program completed!!
false
read: hello
So, here readable.destroy() method is not called before readable.destroyed property so it returns false.
Reference: https://nodejs.org/api/stream.html#stream_readable_destroyed
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Take the Three 90 Challenge today. | CSS/CSS Tutorial/How to Play and Pause CSS Animations using CSS Custom Properties ?/CSS pause-before Property/p5.js | pause() Function/Node.js Stream readable.pause() Method/Node.js Stream readable.resume() Method/Node.js Readable Stream resume Event/Node.js Readable Stream close Event/Node.js Stream readable.destroyed Property | https://www.geeksforgeeks.org/node-js-stream-readable-destroyed-property?ref=asr10 | CSS | Node.js Stream readable.destroyed Property | Node.js Stream readable.destroyed Property, Node.js Readable Stream close Event, CSS pause-before Property, CSS, How to Play and Pause CSS Animations using CSS Custom Properties ?, Node.js Stream readable.resume() Method, Node.js Readable Stream resume Event, Node.js Stream readable.pause() Method, CSS Tutorial, p5.js | pause() Function | GeeksforGeeks | [-7.74835644e-05, -0.0132103395, -0.0049927514, 0.053409256, -0.00697700633, -0.025474187, -0.0245682579, 0.00644291379, -0.0144813452, 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12 Oct, 2021 | Node.js Stream readable.readableObjectMode Property
12 Oct, 2021
The readable.readableObjectMode property in a Readable Stream that is used to check the objectMode of the stream.
Syntax:
readable.readableObjectMode
Return Value: It returns the Boolean value.
Below examples illustrate the use of readable.readableObjectMode property in Node.js:
Example 1:
// Node.js program to demonstrate the
// readable.readableObjectMode Property
// Accessing readable stream module
const Readable = require('readable-stream').Readable;
// Constructing readable stream and
// setting the objectMode value
const readable = Readable({objectMode: true});
// Defining ._read method
readable._read = () => {};
// Instructions for reading data
readable.on('readable', () => {
let chunk;
// Using while loop and calling
// read method with parameter
while (null !== (chunk = readable.read(4))) {
// Displaying the chunk
console.log(`read: ${chunk}`);
}
});
// Calling readableObjectMode
// Property
readable.readableObjectMode;
console.log("objectMode is true!!");
Output:
objectMode is true!!
Example 2:
// Node.js program to demonstrate the
// readable.readableObjectMode Property
// Accessing readable stream module
const Readable = require('readable-stream').Readable;
// Constructing readable stream and
// setting the objectMode value
const readable = Readable({objectMode: false});
// Defining ._read method
readable._read = () => {};
// Instructions for reading data
readable.on('readable', () => {
let chunk;
// Using while loop and calling
// read method with parameter
while (null !== (chunk = readable.read(4))) {
// Displaying the chunk
console.log(`read: ${chunk}`);
}
});
// Calling readableObjectMode
// Property
readable.readableObjectMode;
console.log("objectMode is false!!");
Output:
objectMode is false!!
Reference: https://nodejs.org/api/stream.html#stream_readable_readableobjectmode
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Take the Three 90 Challenge today. | CSS/CSS Tutorial/How to Play and Pause CSS Animations using CSS Custom Properties ?/CSS pause-before Property/p5.js | pause() Function/Node.js Stream readable.pause() Method/Node.js Stream readable.resume() Method/Node.js Readable Stream resume Event/Node.js Readable Stream close Event/Node.js Stream readable.destroyed Property/Node.js Stream readable.readableObjectMode Property | https://www.geeksforgeeks.org/node-js-stream-readable-readableobjectmode-property?ref=asr9 | CSS | Node.js Stream readable.readableObjectMode Property | Node.js Stream readable.destroyed Property, Node.js Readable Stream close Event, Node.js Stream readable.readableObjectMode Property, CSS pause-before Property, CSS, How to Play and Pause CSS Animations using CSS Custom Properties ?, Node.js Stream readable.resume() Method, Node.js Readable Stream resume Event, Node.js Stream readable.pause() Method, CSS Tutorial, p5.js | pause() Function | GeeksforGeeks | [-0.0296649709, 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12 Oct, 2021 | Node.js Stream readable.readableLength Property
12 Oct, 2021
The readable.readableLength property in a readable Stream that is used to check the number of bytes in the queue which is ready to be read.
Syntax:
readable.readableLength
Return Values: It returns the number of bytes in the queue which are ready to be read.
Below examples illustrate the use of readable.readableLength property in Node.js:
Example 1:
// Node.js program to demonstrate the
// readable.readableLength Property
// Accessing stream module
const stream = require('stream');
// Creating a Readable stream
const readable = new stream.Readable("input.txt");
// Calling readable.readableLength
// Property
readable.readableLength;
Output:
0
Example 2:
// Node.js program to demonstrate the
// readable.readableLength property
// Include fs module
const fs = require("fs");
// Constructing readable stream
const readable = fs.createReadStream("input.txt");
// Instructions for reading data
readable.on('readable', () => {
let chunk;
// Using while loop and calling
// read method
while (null !== (chunk = readable.read())) {
// Displaying the chunk length
console.log(`read: ${chunk.length}`);
}
});
// Calling readableLength property
readable.readableLength;
Output:
0
read: 13
Reference: https://nodejs.org/api/stream.html#stream_readable_readablelength.
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Take the Three 90 Challenge today. | CSS/CSS Tutorial/How to Play and Pause CSS Animations using CSS Custom Properties ?/CSS pause-before Property/p5.js | pause() Function/Node.js Stream readable.pause() Method/Node.js Stream readable.resume() Method/Node.js Readable Stream resume Event/Node.js Readable Stream close Event/Node.js Stream readable.destroyed Property/Node.js Stream readable.readableLength Property | https://www.geeksforgeeks.org/node-js-stream-readable-readablelength-property?ref=asr8 | CSS | Node.js Stream readable.readableLength Property | Node.js Stream readable.destroyed Property, Node.js Readable Stream close Event, CSS pause-before Property, CSS, How to Play and Pause CSS Animations using CSS Custom Properties ?, Node.js Stream readable.resume() Method, Node.js Readable Stream resume Event, Node.js Stream readable.pause() Method, Node.js Stream readable.readableLength Property, CSS Tutorial, p5.js | pause() Function | GeeksforGeeks | [-0.0245201886, 0.0260234885, 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