This project has been created as part of the 42 curriculum by ipinto-m.

GetNextLine

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📝 Description

The get_next_line project consists of implementing a function in C that reads a file (or input) line by line.
Each call to the function returns the next line from the file until reaching the End Of File (EOF).

This project helps develop a deeper understanding of:

• File descriptors and file handling
• Dynamic memory allocation
• Buffer management
• Maintaining state between function calls

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🚀 Instructions

Compilation

To compile the project:

cc -Wall -Wextra -Werror -D BUFFER_SIZE=42 get_next_line.c get_next_line_utils.c

You can change the value of BUFFER_SIZE as needed.

Usage

Basicc usage example:

#include "get_next_line.h"
#include <fcntl.h>
#include <stdio.h>

int main(void)
{
    int fd = open("file.txt", O_RDONLY);
    char *line;

    while ((line = get_next_line(fd)) != NULL)
    {
        printf("%s", line);
        free(line);
    }
    close(fd);
    return (0);
}

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📚 Resources

References

• Static Variables in C (GeeksforGeeks): Explanation of static variables in C, essential for maintaining state between function calls in this project.
• read(2) — Linux Manual Page (Man7.org): Official documentation of the read system call, which is central to file reading operations in get_next_line.
• 42 Norminette Documentation: Guide to the coding standards enforced by the 42 Network.

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Use of AI

For this project, Artificial Intelligence was used as an educational assistant for the following tasks:

• Logic Clarification: Assisting in the understanding of file descriptors, static variables, and buffer management for line-by-line file reading.
• Edge Case Identification: Generating test scenarios involving empty files, files without newline characters, multiple file descriptors, and varying BUFFER_SIZE values.
• Memory Management Guidance: Helping clarify proper allocation and deallocation strategies to avoid memory leaks.
• Documentation Formatting: Structuring and proofreading this README.md file to ensure it meets project requirements and professional standards.
• Note: All project code was implemented manually. AI was used exclusively to clarify concepts and assist with documentation, ensuring the learning process remained central to the project.