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<!DOCTYPE html> | |
<html lang="en"> | |
<head> | |
<meta charset="UTF-8"> | |
<meta name="viewport" content="width=device-width, initial-scale=1.0"> | |
<title>React D3.js Interactive Directed Graph Representation</title> | |
<script src="https://cdnjs.cloudflare.com/ajax/libs/react/16.8.6/umd/react.production.min.js"></script> | |
<script src="https://cdnjs.cloudflare.com/ajax/libs/react-dom/16.8.6/umd/react-dom.production.min.js"></script> | |
<script src="https://cdnjs.cloudflare.com/ajax/libs/d3/5.16.0/d3.min.js"></script> | |
<script src="https://cdnjs.cloudflare.com/ajax/libs/babel-standalone/6.26.0/babel.min.js"></script> |
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# Intermediate server (Jump Host) | |
Host jumphost | |
HostName 45.251.56.227 | |
User root | |
IdentityFile ~/.ssh/id_rsa_legacy | |
PubkeyAuthentication yes | |
PasswordAuthentication yes | |
PreferredAuthentications publickey,password | |
ConnectTimeout 30 | |
ServerAliveInterval 60 |
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import requests | |
from typing import Any, Text, Dict, List | |
class BankAPI: | |
def __init__(self): | |
self.headers = {"Content-Type": "application/json"} | |
def data_validation(self, data_list): | |
data_list = list(map(str, data_list)) | |
return data_list |
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# OTP Implementation Flow and Code | |
## 1. Generate OTP | |
When a sensitive operation is requested, a new OTP is generated. | |
```python | |
def opt_generator(self): | |
opt_number = random.randint(self.otp_srange, self.opt_erange) | |
return opt_number |
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# Cell 1: Install dependencies | |
!pip install -q -U transformers llama-index accelerate pypdf einops bitsandbytes | |
!pip install -q llama-index-llms-huggingface | |
!pip install -q llama-index-embeddings-huggingface | |
# Cell 2: Import libraries and set up warnings | |
import warnings | |
warnings.filterwarnings('ignore') | |
from llama_index.core import VectorStoreIndex, SimpleDirectoryReader, ServiceContext |
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version: "3.1" | |
intents: | |
- greet | |
- goodbye | |
- affirm | |
- deny | |
- mood_great | |
- mood_unhappy |
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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 |
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asrserver(){ | |
ssh root@192.168.10.98 | |
} | |
voicebotMTB() { | |
ssh -t root@192.168.10.98 "ssh -t appadm@10.45.57.103 'sudo -i'" | |
} | |
MTBproj() { |
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Part_1.pdf: | |
topics: | |
- Algorithms | |
- Design and analysis | |
- Computational procedures | |
- Input/output relationship | |
- Sorting problem definition | |
- Pseudocode | |
- Insertion sort | |
- Incremental approach |
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