jszym

# First download 'per-proteins.h5' from https://ftp.uniprot.org/pub/databases/uniprot/knowledgebase/embeddings/uniprot_sprot/
# We'll also need tables (pip install tables)

import tables
h5file = tables.open_file("per-protein.h5", mode="r")

# This variable will now hold a 1024 dimensional embedding
# for the Cathelicidin antimicrobial peptide with 
# UniProt AC "P49913" 
embedding = h5file.root['P49913'].read()

jszym

from random import random

state_codes = ['al','ak','az','ar','ca','co','ct','de','dc','fl','ga','hi','id','il','in','ia','ks','ky','la','me','me1','me2','md','ma','mi','mn','ms','mo','mt','ne','ne1','ne2','ne3','nv','nh','nj','nm','ny','nc','nd','oh','ok','or','pa','ri','sc','sd','tn','tx','ut','vt','va','wa','wv','wi','wy']

# Probabilities from an average of the following state-level forecasts:
# - Nate Silver Bulletin
# - FiveThirtyEight
# - 338Canada
# - The Economist
# - RaceToTheWH

jszym

"""
Copyright (C) 2024 by Joseph Szymborski (jszym.com)

Permission to use, copy, modify, and/or distribute this software for 
any purpose with or without fee is hereby granted.

THE SOFTWARE IS PROVIDED "AS IS" AND THE AUTHOR DISCLAIMS 
ALL WARRANTIES WITH REGARD TO THIS SOFTWARE INCLUDING ALL 
IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS. IN NO 
EVENT SHALL THE AUTHOR BE LIABLE FOR ANY SPECIAL, DIRECT, 

jszym

from base64 import urlsafe_b64encode

from blake3 import blake3
import krock32
from time import time
import secrets
import math

def generate_token(namespace: str) -> str:
    """

jszym

# adapted from https://github.com/nateraw/quickdraw-pytorch/blob/main/quickdraw.ipynb
from typing import List, Optional
import urllib.request
from tqdm.auto import tqdm
from pathlib import Path
import requests
import torch
import math
import numpy as np

jszym

from pytorch_lightning.utilities import rank_zero_only
from pytorch_lightning.loggers import Logger
from pytorch_lightning.loggers.logger import rank_zero_experiment
from collections import defaultdict 


class DictLogger(Logger):

    def __init__(self):
        super().__init__()

jszym

# a library for discovering paths
from glob import glob
from sklearn.model_selection import train_test_split

# you may need to look up the documentation for glob
# "*" is a stand=in for any string
# this assumes that the subfolders are in the same folder as the script
# if the subfolders were in a folder "data", the argument to glob would be
# "./data/*.png"
paths = glob("./*/*.png")

jszym

from urllib.parse import parse_qs, urlparse, urlencode, urlunparse
import copy

def clean_trackers_url(url):

    url_obj = urlparse(url)
    raw_query = parse_qs(url_obj.query)
    clean_query = copy.deepcopy(raw_query)

    # add query keys to ban (exact matches)

jszym

Keybase proof

I hereby claim:

• I am jszym on github.
• I am jszym (https://keybase.io/jszym) on keybase.
• I have a public key whose fingerprint is 9961 76AC EF9F 41DA EF59 8151 AAFD DADA 459E F326

To claim this, I am signing this object:

jszym

/**
VALIDATE URL
------------------------------------------------------
Requires punycode.js found at https://mths.be/punycode
to handle UTF-8. Has a very high true-positive rate, 
and low false-positive rate on this test-suite 
https://mathiasbynens.be/demo/url-regex
**/

function validate_url(link){