Code samples - CodeGrove

45 snippets

Published:

Check if a file exists or not in Go

package main

import (
	"errors"
	"fmt"
	"os"
)

func main() {
	filePath := "file.txt"

	if _, err := os.Stat(filePath); errors.Is(err, os.ErrNotExist) {
		fmt.Println("file not exists")
	} else {
		fmt.Println("file exists")
	}
}

To check if a certain file exists inside a given directory in Golang, the Stat() and isNotExists() functions from the os package can be used. The Stat() function is used to return a file information structure that describes the file.

1 Burnfires

montana

Published:

Bash

How to detect OS in bash script?

#!/bin/bash

die()
{
    echo "ERROR: $*" >&2
    exit 1
}

detect_os ()
{
    OS="$(uname -s)"
    ARCH="$(uname -m)"

    case "$OS" in
        Linux)
            if [ -e /etc/lsb-release ]; then
                source /etc/lsb-release

                DIST_ID="${DISTRIB_ID}"
                OS_VERSION="${DISTRIB_RELEASE}"
                OS_CODENAME="${DISTRIB_CODENAME}"
            elif [ -e /etc/os-release]; then
                source /etc/os-release

                DIST_ID="${ID}"
                OS_VERSION="${VERSION_ID}"
                OS_CODENAME="${VERSION_CODENAME}"

            elif [ $(which lsb_release 2>/dev/null) ]; then
                DIST_ID="$(lsb_release -s -i)"
                OS_VERSION="$(lsb_release -s -r)"
                OS_CODENAME="$(lsb_release -s -c)"
            else
                die "Colud not get OS information"
            fi

            case "$DIST_ID" in
                RedHat*)
                    OS_NAME="RedHat" ;;
                debian)
                    OS_NAME="Debian" ;;
                *)
                    OS_NAME="${DIST_ID}" ;;
            esac
            ;;
        *)
            die "Unsupported OS family: $OS"
            ;;
    esac

    echo "${OS}"
    echo "${OS_NAME}"
    echo "${OS_VERSION}"
    echo "${OS_CODENAME}"
}

This script returns OS information such as type, name, codename and version. It supports the following Linux distributions: Ubuntu, Debian, CentOS, RedHat. If you want to add support for other distributions, write in the comments below.

0 Burnfires

alexsib

Published:

Python

Implementation of the Quick Sort algorithm in Python

def quick_sort(arr):
    if len(arr) <= 1:
        return arr
    else:
        pivot = arr[0]
        left = [x for x in arr[1:] if x <= pivot]
        right = [x for x in arr[1:] if x > pivot]
        return quick_sort(left) + [pivot] + quick_sort(right)

# Example usage:
input_array = [3, 1, 4, 1, 5, 9, 2, 6, 5, 3, 5]
sorted_array = quick_sort(input_array)

print("Original Array:", input_array)
print("Sorted Array:", sorted_array)

In this code, the quick_sort function is a recursive implementation of the Quick Sort algorithm. The pivot element is chosen as the first element of the array, and elements are partitioned into two sub-arrays (left and right) based on their relationship to the pivot. The function is then called recursively on the left and right sub-arrays until the entire array is sorted.

2 Burnfires

alexsib

Published:

PHP

Simple implementation of the Quick Sort algorithm in PHP

<?php

function quickSort(array $array): array
{
    $length = count($array);

    if ($length <= 1) {
        return $array;
    }

    $pivot = $array[0];
    $left = $right = [];

    for ($i = 1; $i < $length; $i++) {
        if ($array[$i] < $pivot) {
            $left[] = $array[$i];
        } else {
            $right[] = $array[$i];
        }
    }

    return array_merge(quickSort($left), [$pivot], quickSort($right));
}

// Example usage:
$array = [3, 1, 4, 1, 5, 9, 2, 6, 5, 3, 5];
$sortedArray = quickSort($array);

echo "Original Array: " . implode(", ", $array) . "\n";
echo "Sorted Array: " . implode(", ", $sortedArray) . "\n";

Here's a simple implementation of the Quick Sort algorithm in PHP

1 Burnfires

alexsib

Published:

Python

CSV file handling in Python

import csv

# Writing to a CSV file
with open('data.csv', 'w', newline='') as csvfile:
    fieldnames = ['name', 'age', 'city']
    writer = csv.DictWriter(csvfile, fieldnames=fieldnames)

    writer.writeheader()
    writer.writerow({'name': 'John', 'age': 30, 'city': 'New York'})
    writer.writerow({'name': 'Alice', 'age': 25, 'city': 'London'})

# Reading from a CSV file
with open('data.csv', newline='') as csvfile:
    reader = csv.DictReader(csvfile)
    for row in reader:
        print(row)

Examples of code for writing to a csv file and reading from a csv file.

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