WhiteHat Coding

We can solve all assignments of AUS, UK, Canada, Ireland, Germany, New Zealand and USA universities. Contact us for the following services. 1- Thesis writing 2- Any type of Assignment writing 3- Exams 4- Tests 5- Software engineering 6- Dissertation 7- Reaserch paper 8-Term paper 9- Software and Web developments Join this👇👇 https://t.me/assignment_project_usa https://t.me/assignment_project_usa https://t.me/assignment_project_usa

Guys i need 140 more pls click on this...😅✌️ Share 2 ur Friends  help eachother.😍❤️

https://gpay.app.goo.gl/nxXGyp 👆👆😅 click on this guys...✌️

https://gpay.app.goo.gl/nxXGyp 👆👆😅 click on this guys...✌️

Dm @ILOVEU_143✅ For Coding Help or Any Exam Help 😄 💯 Clearance ✅ Check the previous proofs 👆👆 Share @Coding_000❤️

Global Outage - Meta Down 👀

TECH Mahindra Exam Round 1 & 2 Help available.👨‍💻 100% Clearance GUARANTEE.✅ Check our past Results. 👇👇 https://t.me/Coding_000/6136 https://t.me/Coding_000/6134 https://t.me/Coding_000/5563?single Contact @ILOVEU_143 ✅

TECH MAHINDRA Round 1 & ROUND 2 Exam Help Available Msg: @ILOVEU_143 😊👨‍💻 Note: It's Paid 💰💰 Test Clearance Guaranteed ✅ Your Job Our Responsibility 😉

Deloitte first code all test cases pass ✅💯

Tech mahindra 3rd round pattern..✅

Deloitte ✅ python3🆓✅

Tech Mahindra Help available Very cheap around 2 Contact @ILOVEU_143✅

Deloitte NLA exam help available for(15th, 16th, 17th Feb) 11am, 2pm, 5pm and 8pm slots (All Mcqs+2 Coding) Contact me 👉👉 @ILOVEU_143✅ Book your slots Asap 👍 (Few slots left) 💯 Genuine help ✅ 💯 All correct answers we provide 👍 💯 All test cases pass ✅ 💯 Exam clearance guarantee guys 👍 Note: Don't miss this opportunity guys 👍 Alert: Don't waste your attempt 💯

🚀 Welcome to Coding_000 Empower your projects with our state-of-the-art services: 👉 Source Code 👉 Research Papers 👉 Reports 👉 Deployment 👉 Online Support 💡 Explore Expertise in: 🤖 Machine Learning 🧠 Deep Learning 🐍 Python 🌐 Pyspark ☁️ Azure Cloud 🐼 Pandas 💻 HTML/CSS 📊 Data Science 🔧 MySQL 🪿 PHP 💬 Connect with us on Telegram or Whatsapp! Let's innovate together! 🚀✨ If you are interested in purchasing above listed domain-related projects' code, please reach out to us at the following details: 📡 Telegram ID: @ILOVEU_143 👨‍💻 🌐 Website: https://coding000.github.io/Projects/ #Coding_000 #MachineLearning #Python#Coding000 #DataScience #iloveu_143 #TrustUsExpectUs Contact @ILOVEU_143 ✅ Share @Coding_000❤️ ✌️

Accenture Hackdiva Scuba Diving code All test cases passed 🔥 🔥

def find_paths(matrix, n, m, i, j, oxygen, path, paths):     if i < 0 or i >= n or j < 0 or j >= n or matrix[i][j] == 0:         return         oxygen -= matrix[i][j]     path += directions[(0, 1)]  # 'R'         if i == n-1 and (j == n-1 or j == 0):  # Reached destination         if oxygen >= 0:             paths.append((path, oxygen))         return         temp = matrix[i][j]     matrix[i][j] = 0  # Mark as visited         for di, dj in directions:         find_paths(matrix, n, m, i + di, j + dj, oxygen, path, paths)         matrix[i][j] = temp  # Backtrack     path = path[:-1]  # Remove the last direction n = int(input()) matrix = [list(map(int, input().split())) for _ in range(n)] m = int(input()) directions = [(0, 1), (1, 0), (0, -1), (-1, 0)] paths = [] find_paths(matrix, n, m, 0, 0, m, '', paths) print("The available paths are") for path, _ in paths:     print(path) feasible_paths = [(path, oxygen) for path, oxygen in paths if oxygen >= 0] if feasible_paths:     print("\nThe feasible paths with remaining oxygen levels are")     for path, oxygen in feasible_paths:         print(path, oxygen) else:     print("\nNo feasible path") Scuba driving✅ python✅🆓