djinn

const users = [
  { id: 'user_111', email: 'tom_the_cat@gmail.com' },
  { id: 'user_222', email: 'jerry_mouse@gmail.com' },
  { id: 'user_333', email: 'mickey_mouse@gmail.com' },
]
// Wait for all the get operations to complete and store the results.
const getResults = await Promise.all(
  users.map((user) => {
    console.log(`Getting document: ${user.id}`)
    return usersCollection.get(user.id, user)

djinn

import time
import random
from pymongo import MongoClient
from couchbase.cluster import Cluster
from couchbase.management.buckets import BucketManager
from couchbase.options import ClusterOptions
from couchbase.auth import PasswordAuthenticator
import os
import string
from tqdm import tqdm

djinn

#include <iostream>
#include <vector>
#include <random>
#include <algorithm>
#include <numeric>
#include <thread>
#include <mutex>

const int num_simulations = 10000; // Number of Monte Carlo simulations
const int num_days = 252;          // Number of trading days in a year

djinn

import numpy as np
import math

# Define the Transformer model architecture
class Transformer:
    def __init__(self, input_vocab_size, output_vocab_size, max_seq_length, d_model, num_heads, num_layers):
        self.input_vocab_size = input_vocab_size
        self.output_vocab_size = output_vocab_size
        self.max_seq_length = max_seq_length
        self.d_model = d_model

djinn

#!/bin/sh
# The cheapest CUDA instance on AWS is Graviton2 based g5g instances
# 1) Install right CUDA Drivers on the system. Whilst this script has been tested on Ubuntu 22.04. It should work on others
# 2) Install torch with GPU support. Compiling from source works the best 
# 3) Preferably Quantize the models - https://huggingface.co/docs/transformers/main/en/main_classes/quantization
#
# Author: Supreet Sethi <supreet.sethi@gmail.com>
# Web: https://www.linkedin.com/in/djinn
# 
# Step 1) is here 

djinn

#!/usr/bin/env python3
from json import dumps

test_load = """SQL statistics:
    queries performed:
        read:                            845684
        write:                           241589
        other:                           120831
        total:                           1208104
    transactions:                        60398  (1506.89 per sec.)

djinn

#!/bin/sh
# Author Supreet Sethi <supreet.sethi@gmail.com>
# Dated Thu Jul 21 13:26:06 +08 2022
# Instructions - wget <script>; chmod +x yubikey.sh; ./yubikey.sh

sudo pmset -a hibernatemode 25 && sudo pmset -a standbydelay 15
echo "Yubikey hibernation changes installed"

djinn

#include <iostream>
#include <string>
#include <cinttypes> // for uint32_t 
#include <cfenv>
#include <cmath>



std::string float_to_binary(float f) {
	union {float f; uint32_t i;} u;

djinn

#!/usr/bin/env python3
# Copyright(C) 2020 Supreet Sethi <supreet.sethi@gmail.com>
# I do Hindi, Punjabi and Urdu in Python dude!

बोल = print
बोल("ਬੋਲ ਕੇ ਲਾਬ ਆਜ਼ਾਦ ਹੈਂ ਤੇਰੇ - فیض احمد فیض")

djinn

#!/usr/bin/env python3
# Author: Supreet Sethi <supreet.sethi@gmail.com>
# Dated: 16/10/2020
# Please use it has working prototype
# Lot can be done from process management and general housekeeping perspective



from multiprocessing import Pool, cpu_count, Manager
from collections import namedtuple