ehzawad

import zipfile
import os
import torch
import torch.nn as nn
import torch.optim as optim
import torchvision.transforms as transforms
from torchvision.datasets import ImageFolder
from torch.utils.data import DataLoader
from PIL import Image
import matplotlib.pyplot as plt

ehzawad

asrserver(){
ssh [email protected]
}

voicebotMTB() {
    ssh -t [email protected] "ssh -t [email protected] 'sudo -i'"
}

MTBproj() {

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])