ehzawad

Part_1.pdf:
  topics:
    - Algorithms
    - Design and analysis
    - Computational procedures
    - Input/output relationship
    - Sorting problem definition
    - Pseudocode
    - Insertion sort
    - Incremental approach

ehzawad

#!/bin/bash

merge_md_files() {
    for dir in "$1"/*; do
        if [ -d "$dir" ]; then
            md_files=("$dir"/*.md)
            if [ ${#md_files[@]} -gt 1 ]; then
                merged_file="$dir/$(basename "$dir").md"
                cat "${md_files[@]}" > "$merged_file"
            fi

ehzawad

import yaml

# Define the Unicode ranges for Bengali characters
# The ranges are tuples of start and end points, inclusive
# Unassigned code points will be skipped
bengali_char_ranges = [
    (0x0980, 0x0983),  # Bengali Anji, etc.
    (0x0985, 0x098C),  # Bengali vowels
    (0x098F, 0x0990),  # Bengali E, AI
    (0x0993, 0x09A8),  # Bengali O, etc.

ehzawad

import re
import csv

def is_bangla_word(word):
    # Check if the word contains Bangla characters (Unicode range for Bangla: U+0980 to U+09FF)
    return bool(re.search('[\u0980-\u09FF]', word))

def extract_bangla_words(line):
    # Split the line into potential words, filtering out non-Bangla words
    words = re.findall('[\u0980-\u09FF]+', line)

ehzawad

class ActionAnalyzePreviousMessages(Action):
    def name(self) -> Text:
        return "action_analyze_previous_messages"

    def run(self, dispatcher, tracker: Tracker, domain: Dict[Text, Any]) -> List[EventType]:
        # Your predefined list or dictionary of keywords
        keywords = ["খতিয়ান", "পর্চা", "পর্চার", "খাজনা"]

        # Get the list of events
        events = tracker.events

ehzawad

import requests
from bs4 import BeautifulSoup

def scrape_page(url):
    try:
        response = requests.get(url)
        response.raise_for_status()

        soup = BeautifulSoup(response.content, 'html.parser')
        faqs = []

ehzawad

// // const puppeteer = require('puppeteer');

// // async function downloadWikipediaPDF(url) {
// //     // Launch a new browser instance in headless mode
// //     const browser = await puppeteer.launch({ headless: true });

// //     // Create a new page in the browser
// //     const page = await browser.newPage();

// //     // Navigate to the provided URL

ehzawad

```python
from PyPDF2 import PdfReader, PdfWriter

def extract_pages(pdf_path, start_page, end_page, output_path):
    reader = PdfReader(pdf_path)
    writer = PdfWriter()

    # Page numbers are zero-indexed in PyPDF2, hence the -1
    for page_num in range(start_page - 1, end_page):
        writer.add_page(reader.pages[page_num])

ehzawad

import requests
import time

def send_to_rasa(sender_id, message, rasa_server_url):
    """Send a message to Rasa and return the bot's response."""
    try:
        response = requests.post(
            f"{rasa_server_url}/webhooks/rest/webhook",
            json={"sender": sender_id, "message": message, "respType": "F", "inputType": "AN", "inputKey": "", "ivrStatus": "STOPPED", "cli": "0111111111", "metadata": "bn", "va_id": "AA"}
        )

ehzawad

```js
// const puppeteer = require('puppeteer');

// async function convertWebpageToPDF(url, outputFilename) {
//     const browser = await puppeteer.launch({ headless: "new" });
//     const page = await browser.newPage();

//     // Increase the timeout to 60 seconds (60000 milliseconds)
//     await page.goto(url, { waitUntil: 'networkidle2', timeout: 60000 });