Axhat

# Online Python compiler (interpreter) to run Python online.
# Write Python 3 code in this online editor and run it.


# LLM Failover router 
# Prvovider - OpenAI, Azure, Google, Anthropic, Cohere, HuggingFace
# Configurable - 
# Ideal scenaria - 100% requests would goes to primary provider
# when primary fails / degreaded state then 95% goes to secondary provider and 5% goes to primary provider for testing
# when primary recovers then 100% goes to primary provider

Axhat

echo "Startup git bash"

path_to_key = "" # Enter path of the key to add 
path_to_repo = "" # Enter path of repo to cd into

cd "$path_to_repo"

eval $(ssh-agent -s) # Starting up the ssh-agent

Axhat

#HILL CIPHER
#include <bits/stdc++.h>
using namespace std;
vector<int> multiply(vector<vector<int>> mat,vector<int> vec){
    vector<int> ans(vec.size(),0);
    for(int i=0;i<mat.size();i++){
        for(int j=0;j<vec.size();j++){
            ans[i] += mat[i][j]*vec[j];
        }
        ans[i]%=26;

Axhat

1. Find S 
import pandas as pd
import numpy as np


def train(X, y):
    # Create the most specific hypothesis
    hypothesis = []
    for i in range(len(X[0])):
        hypothesis.append("null")