My goal is to grab a specific part of a very large number and concatenate that part with another number, then continue. Since integers only go so high, I have a string of the number. I do NOT know what this number could be, so I can't input it in myself. I can use substr for the first part, but I am stuck shortly after.
An example
"435509590420924949"
I want to take the first 5 characters out, convert to integer, do my own calculation to them, then concatenate them with the rest of the string. So I will take 43550 out, do formula to get 49, then add 49 to another 5 in a row after the original string "95904" so the new answer will be "4995904".
This is my code for the first part I made up,
string temp;
int number;
temp = data.substr(0, 5);
number = atoi(temp.c_str());
This grabs the first first characters in the strings, converts to integers where I can calculate it, but I don't know how to grab the next 5 of the long string.
You can get the length of the string, so something like:
std::size_t startIndex = 0;
std::size_t blockLength = 5;
std::size_t length = data.length();
while(startIndex < length)
{
std::string temp = data.substr(startIndex, blockLength);
// do something with temp
startIndex += blockLength;
// TODO: this will skip the last "block" if it is < blockLength,
// so you need to modify it a bit for this case.
}
You can use loops. For example:
std::size_t subStrSize = 5;
for (std::size_t k = 0; k < data.size(); k+=subStrSize) {
std::size_t h = std::min(k + subStrSize - 1, data.size() - 1);
int number = 0;
for (std::size_t l = k; l <= h; ++l)
number = number * 10 + data[l] - '0';
//-- Some work with number --
}
Given a string 12345 and a alphabet to number mapping like a =1, b =2.., y=25, z=26; write a code to find the number of possible alphabet strings from the given string.
E.x. string 12345 has possible alphabet strings as {lcde,awde, abcde} from the mappings {12-3-4-5, 1-23-4-5, 1-2-3-4-5}.
I have a general idea of how to do it. I imagine it would be recursive. Look at the first digit and add it's char mapping to the result and then recurse with the sub array (1, size - 1). Also look at the two first digits and see if they are <= 26. If so, add that to the result and recurse (2, size - 2). Do this until number array is empty.
I get stuck on the actual implementation though. Is there a smarter way to do this than recursion?
This is similar to Word Break Problem. You can use same approach to solve it .you can use memoization to reduce overall running time. If you see in your given example:
12-3-4-5, 1-23-4-5, 1-2-3-4-5
4 and 5 is getting repeated and you are calculating it again and again. You can store permutation of given index first time you calculated and use it later whenever you visit same index.
pseudo code:
recursive_function(string,index)
if you have already calculated values for this index in previous call
return value
recursive_function(string,index+1)
if possible
recursive_function(string,index+2)
store this value for future use.
Detail:
when you have recursive call for say index i ,when you are done with this call (basically returning from current recursion) you have already used/calculated/found all possible values (all permutation for sub-string starting at index i). you can store these values because if you will see there may be times when you will come again to index i from some other index sayj (j<i). so now this time you can return from this place itself instead of more recursive call for index i as you have already calculated values for index i and that will be same irrespective of j
Just finish this coding, idea is from #dream_machine
Basically, it's a backtracking algorithm, complexity is O(2n!),
Need keep tracking the left to know should put string to output.
Seems the algorithm is too slow, maybe need add some memo to speed it up.
void helper(int start, string &s, string &path, vector<string> &result, int);
vector<string>
getPossibleCombo(string &s) {
vector<string> result;
string path;
helper(0, s, path, result, s.size());
return result;
}
void helper(int start, string &s, string &path, vector<string> &result, int left) {
if (start == s.size() && left == 0) {
result.push_back(path);
return;
}
for (int i = start; i < s.size(); i++) {
path.push_back('a' + (s[i] - '0') - 1);
helper(i + 1, s, path, result, left - 1);
path.pop_back();
if (i < s.size() - 1 && s[i] > '0' && s[i] <= '2') { // can try two.
if (s[i] == '2' && s[i+1] > '6')
continue;
int c = (s[i] - '0') * 10 + s[i + 1] - '0';
path.push_back('a' + c - 1);
helper(i + 2, s, path, result, left - 2);
path.pop_back();
}
}
}
int main() {
string s("12345");
auto r = getPossibleCombo(s);
for (auto &s : r) {
cout << s << endl;
}
}
output is
bash-3.2$ g++ -std=c++11 -g test2.cpp && ./a.out
abcde
awde
lcde
The Fibonacci strings are defined as follows:
The first Fibonacci string is "a"
The second Fibonacci string is "bc"
The (n + 2)nd Fibonacci string is the concatenation of the two previous Fibonacci strings.
For example, the first few Fibonacci strings are
a
bc
abc
bcabc
abcbcabc
The goal is, given a row and an offset, to determine what character is at that offset. More formally:
Input: Two integers separated by a space - K and P(0 < K ≤ 109), ( < P ≤ 109), where K is the line number of the Fibonacci string and P is the position number in a row.
Output: The desired character for the relevant test: "a", "b" or "c". If P is greater than the kth row (K ≤ 109), it is necessary to derive «No solution»
Example:
input: 18 58
output: a
I wrote this code to solve the problem:
#include <iostream>
#include <string>
#include <vector>
using namespace std;
int main()
{
int k, p;
string s1 = "a";
string s2 = "bc";
vector < int >fib_numb;
fib_numb.push_back(1);
fib_numb.push_back(2);
cin >> k >> p;
k -= 1;
p -= 1;
while (fib_numb.back() < p) {
fib_numb.push_back(fib_numb[fib_numb.size() - 1] + fib_numb[fib_numb.size() - 2]);
}
if (fib_numb[k] <= p) {
cout << "No solution";
return 0;
}
if ((k - fib_numb.size()) % 2 == 1)
k = fib_numb.size() + 1;
else
k = fib_numb.size();
while (k > 1) {
if (fib_numb[k - 2] > p)
k -= 2;
else {
p -= fib_numb[k - 2];
k -= 1;
}
}
if (k == 1)
cout << s2[p];
else
cout << s1[0];
return 0;
}
Is it correct? How would you have done?
You can solve this problem without explicitly computing any of the strings, and this is probably the best way to solve the problem. After all, if you're asked to compute the 50th Fibonacci string, you're almost certain to run out of memory; F(50) is 12,586,269,025, so you'd need over 12Gb of memory just to hold it!
The intuition behind the solution is that because each line of the Fibonacci strings are composed of the characters of the previous lines, you can convert an (row, offset) pair into a different (row', offset') pair where the new row is always for a smaller Fibonacci string than the one you started with. If you repeat this enough times, eventually you will arrive back at the Fibonacci strings for either row 0 or row 1, in which case the answer can immediately be read off.
In order to make this algorithm work, we need to establish a few facts. First, let's define the Fibonacci series to be zero-indexed; that is, the sequence is
F(0) = 0
F(1) = 1
F(n+2) = F(n) + F(n + 1)
Given this, we know that the nth row (one-indexed) of the Fibonacci strings has a total of F(n + 1) characters in it. You can see this quickly by induction:
Row 1 has length 1 = F(2) = F(1 + 1)
Row 2 has length 2 = F(3) = F(2 + 1).
For some row n + 2, the length of that row is given by Size(n) + Size(n + 1) = F(n + 1) + F(n + 2) = F(n + 3) = F((n + 2) + 1)
Using this knowledge, let's suppose that we want to find the seventh character of the seventh row of the Fibonacci strings. We know that row seven is composed of the concatenation of rows five and six, so the string looks like this:
R(7) = R(5) R(6)
Row five has F(5 + 1) = F(6) = 8 characters in it, which means that the first eight characters of row seven come from R(5). Since we want the seventh character out of this row, and since 7 ≤ 8, we know that we now need to look at the seventh character of row 5 to get this value. Well, row 5 looks like the concatenation of rows 3 and 4:
R(5) = R(3) R(4)
We want to find the seventh character of this row. Now, R(3) has F(4) = 3 characters in it, which means that if we are looking for the seventh character of R(5), it's going to be in the R(4) part, not the R(3) part. Since we're looking for the seventh character of this row, it means that we're looking for the the 7 - F(4) = 7 - 3 = 4th character of R(4), so now we look there. Again, R(4) is defined as
R(4) = R(2) R(3)
R(2) has F(3) = 2 characters in it, so we don't want to look in it to find the fourth character of the row; that's going to be contained in R(3). The fourth character of the line must be the second character of R(3). Let's look there. R(3) is defined as
R(3) = R(1) R(2)
R(1) has one character in it, so the second character of this line must be the first character of R(1), so we look there. We know, however, that
R(2) = bc
So the first character of this string is b, which is our answer. Let's see if this is right. The first seven rows of the Fibonacci strings are
1 a
2 bc
3 abc
4 bcabc
5 abcbcabc
6 bcabcabcbcabc
7 abcbcabcbcabcabcbcabc
Sure enough, if you look at the seventh character of the seventh string, you'll see that it is indeed a b. Looks like this works!
More formally, the recurrence relation we are interested in looks like this:
char NthChar(int row, int index) {
if (row == 1) return 'a';
if (row == 2 && index == 1) return 'b';
if (row == 2 && index == 2) return 'c';
if (index < Fibonacci(row - 1)) return NthChar(row - 2, index);
return NthChar(row - 1, index - Fibonacci(row - 1));
}
Now, of course, there's a problem with the implementation as written here. Because the row index can range up to 109, we can't possibly compute Fibonacci(row) in all cases; the one billionth Fibonacci number is far too large to represent!
Fortunately, we can get around this. If you look at a table of Fibonacci numbers, you'll find that F(45) = 1,134,903,170, which is greater than 109 (and no smaller Fibonacci number is greater than this). Moreover, since we know that the index we care about must also be no greater than one billion, if we're in row 46 or greater, we will always take the branch where we look in the first half of the Fibonacci string. This means that we can rewrite the code as
char NthChar(int row, int index) {
if (row == 1) return 'a';
if (row == 2 && index == 1) return 'b';
if (row == 2 && index == 2) return 'c';
/* Avoid integer overflow! */
if (row >= 46) return NthChar(row - 2, index);
if (index < Fibonacci(row - 1)) return NthChar(row - 2, index);
return NthChar(row - 1, index - Fibonacci(row - 1));
}
At this point we're getting very close to a solution. There are still a few problems to address. First, the above code will almost certainly blow out the stack unless the compiler is good enough to use tail recursion to eliminate all the stack frames. While some compilers (gcc, for example) can detect this, it's probably not a good idea to rely on it, and so we probably should rewrite this recursive function iteratively. Here's one possible implementation:
char NthChar(int row, int index) {
while (true) {
if (row == 1) return 'a';
if (row == 2 && index == 1) return 'b';
if (row == 2 && index == 2) return 'c';
/* Avoid integer overflow! */
if (row >= 46 || index < Fibonacci(row - 1)) {
row -= 2;
} else {
index -= Fibonacci(row - 1);
row --;
}
}
}
But of course we can still do much better than this. In particular, if you're given a row number that's staggeringly huge (say, one billion), it's really silly to keep looping over and over again subtracting two from the row until it becomes less than 46. It makes a lot more sense to just determine what value it's ultimately going to become after we do all the subtraction. But we can do this quite easily. If we have an even row that's at least 46, we'll end up subtracting out 2 until it becomes 44. If we have an odd row that's at least 46, we'll end up subtracting out 2 until it becomes 45. Consequently, we can rewrite the above code to explicitly handle this case:
char NthChar(int row, int index) {
/* Preprocess the row to make it a small value. */
if (row >= 46) {
if (row % 2 == 0)
row = 45;
else
row = 44;
}
while (true) {
if (row == 1) return 'a';
if (row == 2 && index == 1) return 'b';
if (row == 2 && index == 2) return 'c';
if (index < Fibonacci(row - 1)) {
row -= 2;
} else {
index -= Fibonacci(row - 1);
row --;
}
}
}
There's one last thing to handle, which is what happens if there isn't a solution to the problem because the character is out of range. But we can easily fix this up:
string NthChar(int row, int index) {
/* Preprocess the row to make it a small value. */
if (row >= 46) {
if (row % 2 == 0)
row = 45;
else
row = 44;
}
while (true) {
if (row == 1 && index == 1) return "a"
if (row == 2 && index == 1) return "b";
if (row == 2 && index == 2) return "c";
/* Bounds-checking. */
if (row == 1) return "no solution";
if (row == 2) return "no solution";
if (index < Fibonacci(row - 1)) {
row -= 2;
} else {
index -= Fibonacci(row - 1);
row --;
}
}
}
And we've got a working solution.
One further optimization you might do is precomputing all of the Fibonacci numbers that you'll need and storing them in a giant array. You only need Fibonacci values for F(2) through F(44), so you could do something like this:
const int kFibonacciNumbers[45] = {
0, 1, 1, 2, 3, 5,
8, 13, 21, 34, 55, 89,
144, 233, 377, 610,
987, 1597, 2584, 4181,
6765, 10946, 17711, 28657,
46368, 75025, 121393, 196418,
317811, 514229, 832040,
1346269, 2178309, 3524578,
5702887, 9227465, 14930352,
24157817, 39088169, 63245986,
102334155, 165580141, 267914296,
433494437, 701408733
};
With this precomputed array, the final version of the code would look like this:
string NthChar(int row, int index) {
/* Preprocess the row to make it a small value. */
if (row >= 46) {
if (row % 2 == 0)
row = 45;
else
row = 44;
}
while (true) {
if (row == 1 && index == 1) return "a"
if (row == 2 && index == 1) return "b";
if (row == 2 && index == 2) return "c";
/* Bounds-checking. */
if (row == 1) return "no solution";
if (row == 2) return "no solution";
if (index < kFibonacciNumbers[row - 1]) {
row -= 2;
} else {
index -= kFibonacciNumbers[row - 1];
row --;
}
}
}
I have not yet tested this; to paraphrase Don Knuth, I've merely proved it correct. :-) But I hope this helps answer your question. I really loved this problem!
I guess your general idea should be OK, but I don't see how your code is going to deal with larger values of K, because the numbers will get enormous quickly, and even with large integer libraries it might take virtually forever to compute fibonacci(10^9) exactly.
Fortunately, you are only asked about the first 10^9 characters. The string will reach that many characters already on the 44th line (f(44) = 1134903170).
And if I'm not mistaken, from there on the first 10^9 characters will be simply alternating between the prefixes of line 44 and 45, and therefore in pseudocode:
def solution(K, P):
if K > 45:
if K % 2 == 0:
return solution(44, P)
else:
return solution(45, P)
#solution for smaller values of K here
I found this. I did not do a pre-check (get the size of the k-th fibo string to test p againt it) because if the check is successful you'll have to compute it anyway. Of course as soon as k becomes big, you may have an overflow issue (the length of the fibo string is an exponential function of the index n...).
#include <iostream>
#include <string>
using namespace std;
string fibo(unsigned int n)
{
if (n == 0)
return "a";
else if (n == 1)
return "bc";
else
return fibo(n - 2) + fibo(n - 1);
}
int main()
{
unsigned int k, p;
cin >> k >> p;
--k;
--p;
string fiboK = fibo(k);
if (p > fiboK.size())
cout << "No solution" << endl;
else
cout << fiboK[p] << endl;
return 0;
}
EDIT: ok, I now see your point, i.e. checking in which part of the k-th string p resides (i.e. in string k - 2 or k - 1, and updating p if needed). Of course this is the good way to do it, since as I was saying above my naive solution will explode quite too quickly.
Your way looks correct to me from an algorithm point of view (saves memory and complexity).
I would have computed the K-th Fibonacci String, and then retrieve the P-th character of it. Something like that:
#include <iostream>
#include <string>
#include <vector>
std::string FibonacciString(unsigned int k)
{
std::vector<char> buffer;
buffer.push_back('a');
buffer.push_back('b');
buffer.push_back('c');
unsigned int curr = 1;
unsigned int next = 2;
while (k --)
{
buffer.insert(
buffer.end(),
buffer.begin(),
buffer.end());
buffer.erase(
buffer.begin(),
buffer.begin() + curr);
unsigned int prev = curr;
curr = next;
next = prev + next;
}
return std::string(
buffer.begin(),
buffer.begin() + curr);
}
int main(int argc, char** argv)
{
unsigned int k, p;
std::cin >> k >> p;
-- p;
-- k;
std::string fiboK = FibonacciString(k);
if (p > fiboK.size())
std::cout << "No solution";
else
std::cout << fiboK[p];
std::cout << std::endl;
return 0;
}
It does use more memory than your version since it needs to store both the N-th and the (N+1)-th Fibonacci string at every instant. However, since it is really close to the definition, it does work for every value.
Your algorithm seems to have some issue when k is large while p is small. The test fib_num[k] < p will dereference an item outside of the range of the array with k = 30 and p = 1, won't it ?
I made another example where each corresponding number of Fibonnaci series corresponds to the letter in the alfabet. So for 1 is a, for 2 is b, for 3 is c, for 5 is e... etc:
#include <iostream>
#include <string>
using namespace std;
int main()
{
string a = "abcdefghijklmnopqrstuvwxyz"; //the alphabet
string a1 = a.substr(0,0); string a2 = a.substr(1,1); string nexT = a.substr(0,0);
nexT = a1 + a2;
while(nexT.length() <= a.length())
{
//cout << nexT.length() << ", "; //show me the Fibonacci numbers
cout << a.substr(nexT.length()-1,1) << ", "; //show me the Fibonacci letters
a1 = a2;
a2 = nexT;
nexT = a1 + a2;
}
return 0;
}
Output: a, b, c, e, h, m, u,
Quote from Wikipedia, Fibonacci_word:
The nth digit of the word is 2+[nφ]-[(n+1)φ] where φ is the golden ratio ...
(The only characters used in the Wikipedia page are 1 and 0.)
But note that the strings in the Wikipedia page, and in Knuth s Fundamental Algorithms, are built up in the opposite order of the above shown strings; there it becomes clear when the strings are listed, with ever repeating leading part, that there is only one infinitely long Fibonacci string. It is less clear when generated in the above used order, for the ever repeating part is the string s trailing part, but it is no less true. Therefore the term "the word" in the quotation, and, except for the question "is n too great for this row?", the row is not important.
Unhappily, though, it is too hard to apply this formula to the poster s problem, because in this formula the original strings are of the same length, and poster began with "a" and "bc".
This J(ava)Script script generates the Fibonacci string over the characters the poster chose, but in the opposite order. (It contains the Microsoft object WScript used for fetching command-line argument and outputting to the standard output.)
var u, v /*Fibonacci numbers*/, g, i, k, R;
v = 2;
u = 1;
k = 0;
g = +WScript.arguments.item(0); /*command-line argument for desired length of string*/
/*Two consecutiv Fibonacci numbers, with the greater no less than the
Fibonacci string s length*/
while (v < g)
{ v += u;
u = v - u;
k = 1 - k;
}
i = u - k;
while (g-- > 0)
{ /*In this operation, i += u with i -= v when i >= v (carry),
since the Fibonacci numbers are relativly prime, i takes on
every value from 0 up to v. Furthermore, there are u carries,
and, therefore, u instances of character 'cb', and v-u instances
of 'a' (no-carry). The characters are spread as evenly as can be.*/
if ((i += u) < v)
{ R = 'a'; // WScript.StdOut.write('a'); /* no-carry */
} else
{ i -= v; /* carry */
R = 'cb'; // WScript.StdOut.write('cb')
}
}
/*result is in R*/ // WScript.StdOut.writeLine()
I suggest it because actually outputting the string is not required. One can simply stop at the desired length, and show the last thing about to be outputted. (The code for output is commented out with '//'). Of course, using this to find the character at position n has cost proportional to n. The formula at the top costs much less.