lolipopshock

"""
Efficiently downloads HuggingFace models by circumventing the `.git` directory.

Speeds up the download process by approximately 2x by avoiding downloading the 
`.git` folder, which contains a copy of the models (thanks to git-lfs). This script 
can be especially beneficial for large models (e.g., Meta-Llama-3.1-405B). 

Usage:
    python download_hf.py \
        <hf_repo_id> <destination_folder> \

lolipopshock

var scriptProperties = PropertiesService.getScriptProperties();
const NOTION_API_TOKEN = scriptProperties.getProperty('NOTION_TOKEN');
const NOTION_PAGE_ID = scriptProperties.getProperty('NOTION_PAGE_URL');

function main(e) {

    var itemResponses = e.response.getItemResponses();

    var rawResponseData = {};
    for (var j = 0; j < itemResponses.length; j++) {

lolipopshock

import os
import plistlib
import argparse


parser = argparse.ArgumentParser()
parser.add_argument("--META_NAME", type=str, default="programName")
parser.add_argument("--LOG_PATH", type=str, default="/var/log/programName")

lolipopshock

"""Download the paper information from thecvf website and save them into csv files 

Examples:
    >> python download_cvf_paper.py --save_path 'save'

Saved Files:
    
    * cvf_all.csv
        both paper and workshop papers listed on the thecvf website
    * cvf_papers.csv

lolipopshock

import cv2
import matplotlib.pyplot as plt
from skimage import measure

####
# Ref to https://github.com/Vasistareddy/python-rlsa/blob/master/rlsa.py
import numpy as np

def iteration(image: np.ndarray, value: int) -> np.ndarray:
    """