mkbabb

Hair Loss Prevention Protocol

TL;DR: Fin, Min, and Pray (microneedling).

This protocol outlines a comprehensive plan, starting with the least aggressive
treatments and progressing to more intensive options if necessary.

Remember, hair growth is a slow process, and patience is key. It can take more than a
year to see results.

mkbabb

#!/bin/bash

# Check if sufficient arguments are provided
if [ $# -ne 2 ]; then
    echo "Usage: $0 <folder_path> <user>"
    exit 1
fi

folder_path=$1
user=$2

mkbabb

import json
import os
import pathlib
from typing import Any, Callable, Dict, List

import pandas as pd
import sqlalchemy
import openai
import re

mkbabb

def generate_proxy_endpoint(
    username: str,
    password: str,
    country: str | None = "us",
    state: str | None = None,
    city: str | None = None,
    sticky_session_duration: str | None = None,
) -> dict:
    BASE_URL = "pr.oxylabs.io"
    base_username = f"customer-{username}"

mkbabb

import bisect
import random
import time
from functools import wraps


def timeit(func):
    @wraps(func)
    def timeit_wrapper(*args, **kwargs):
        start_time = time.perf_counter()

mkbabb

import math

# processes = [
#     {"arrival": 0, "burst": 20, "name": "p1"},
#     {"arrival": 5, "burst": 15, "name": "p2"},
#     {"arrival": 6, "burst": 30, "name": "p3"},
#     {"arrival": 11, "burst": 5, "name": "p4"},
# ]

processes = [

mkbabb

from typing import *


def insert(dest: list, src: list, ix: int) -> list:
    left, right = dest[:ix], dest[ix:]
    return left + src + right


def interleave(arrs: List[list]) -> List[list]:
    def recurse(dest: list, i: int, j: int, k: int) -> List[list]:

mkbabb

from dataclasses import dataclass
from typing import *


@dataclass
class Item:
    weight: int
    value: int

mkbabb

from typing import *
import random

random.seed(1)

T = TypeVar("T")


def reorder(arr: List[T], ixs: List[int]) -> List[T]:
    arr, tmp = list(arr), list(arr)