I'm having difficulty understanding the code for the Longest Common Substring problem on my regular resource. I'm not getting the desired output when I try to run the code. Here is the code I'm trying to use:

// Function to find Longest Common Substring

// of two given strings

string LCS(string X, string Y)

{

// Find lengths of given strings

intm = X.length ();

int n = Y.length();




// Declare the 2D array

int L[m+1][n+1];




//Fill values ​​​​in the array

for (int i = 0; i <= m; i++)

{

for (int j = 0; j <= n; j++)

{

if (i == 0 || j == 0)

Lj = 0;

else if (X[i - 1] == Y[j - 1])

L j = L[i - 1][j - 1] + 1;

else

L j = max(L[i - 1]j, L [j - 1]);

}

}




// Backtrack to find the substring

int index = Lmn;




// Create a string length index+1

string lcs(index+1, ' ');




// Start from the right-most-bottom-most corner

// and one by one store characters in lcs[]

int i = m, j = n;

while (i > 0 && j > 0)

{

// If current character in X[] and Y are same

if (X[i - 1] == Y[j - 1])

{

// Put current character into result

lcs [index - 1] = X[i - 1];




// reduce values ​​of i, j and index

the--;

j--;

index--;

}




// If not same, then find the larger of two and

// go in the direction of larger values

​​else if (L[i - 1]j > L [j - 1])

the--;

else

j--;

}




// Return the result

return lcs;

}

I'm hoping someone can help me figure out what's wrong with the code and help me get the desired output. Thanks in advance!


--- Ultima modifica di Rosaline in data 2023-04-19 14:08:33 ---

RESPONSES:




Yes, you are correct. To make this service available on other PCs, you will need to deploy it on a server and make it accessible through a common endpoint. The easiest way to do this is to use a cloud hosting provider like AWS or Azure. With a cloud hosting provider, you can easily spin up a virtual server, deploy your application on it, and make it accessible to the world. You will also need to register a domain name, create an SSL certificate, and point the domain to your server so that the service is accessible through a secure connection. Once these steps are completed, you should be able to access the service from any computer in the world. I hope this helps!

You can refer to this resource as well.

--- Ultima modifica di Rosaline in data 2023-02-02 06:48:16 ---

Consider that you wish to use Python to create a complex desktop (not web) application for end users. What folder hierarchy for the project would be the best?




Maintenance simplicity, IDE friendliness, suitability for source control branching/merging, and simplicity in creating install packages are all desired attributes.




more specifically




Where should the source be placed?

Scripts used to launch applications should go where?

Where should I store my IDE project clutter?

Where do you place the acceptance and unit tests?

Where should non-Python data, such configuration files, go?

Where should non-Python sources for pyd/so binary extension modules be placed, such as C++?

Per il database, puoi usare un database leggero come SQLite, che è gratuito e open-source e può essere utilizzato con Python. Per spostare il database tra i PC, puoi utilizzare una soluzione di cloud storage come Dropbox, Google Drive o Microsoft OneDrive. Puoi anche usare FTP e SFTP per trasferire il database da un computer all'altro.

Per accedere al database, puoi utilizzare un sistema di gestione di database come SQLiteStudio, oppure una libreria Python come SQLAlchemy o SQLite3 per accedervi direttamente dal codice Python.