JediKnightChan

from sklearn import datasets
from sklearn.decomposition import PCA
from sklearn.model_selection import train_test_split
from sklearn.neighbors import KNeighborsClassifier
import matplotlib.pyplot as plt
import numpy as np

digits = datasets.load_digits()
X = digits["data"]
Y = digits["target"]

JediKnightChan

<!--
  Don't use the "5-unsafe" CDN version in your own code. It will break on you. 
  Instead go to videojs.com and copy the CDN urls for the latest version.
-->

<div id="instructions">

  <video id="my_video_1" class="video-js vjs-default-skin" width="640px" height="267px"
      controls preload="none" poster='http://video-js.zencoder.com/oceans-clip.jpg'
      data-setup='{ "aspectRatio":"640:267", "playbackRates": [1, 1.5, 2] }'>

JediKnightChan

package main

import (
	"errors"
	"fmt"
	"math"
)

type Vector struct {
	Body []float64

JediKnightChan

from base64 import b64encode, b64decode
import random

pjs_b64_separator = b"//"
pjs_b64_keys = ["", "", "", "", ""]

def pjs_b64_encrypt(string):
    """
    Encrypts given string using base64 and pjs_b64_keys,
    returns the encrypted string

JediKnightChan

import os
import re
import requests
import urllib.parse
from bs4 import BeautifulSoup


common = "https://www.example.com/"
start_url = "https://www.example.com/index.html"

JediKnightChan

import pandas as pd
from Bio import SeqIO
from Bio.Seq import Seq
from Bio.SeqRecord import SeqRecord
import os
from sklearn.model_selection import train_test_split
import pyhmmer


def generate_dataset():

JediKnightChan

JediKnightChan

"""
      _____                    _____                    _____                            _____                    _____                    _____                    _____                    _____          
     /\    \                  /\    \                  /\    \                          /\    \                  /\    \                  /\    \                  /\    \                  /\    \         
    /::\    \                /::\____\                /::\    \                        /::\    \                /::\    \                /::\    \                /::\    \                /::\    \        
    \:::\    \              /:::/    /               /::::\    \                      /::::\    \              /::::\    \               \:::\    \               \:::\    \              /::::\    \       
     \:::\    \            /:::/    /               /::::::\    \                    /::::::\    \            /::::::\    \               \:::\    \               \:::\    \            /::::::\    \  

JediKnightChan

import json
import re
from Bio.Seq import Seq
from Bio.SeqRecord import SeqRecord
from Bio import SeqIO


# CHANGEME
json_filepath = "./output/NC_015434.json"
with open(json_filepath, "r") as f:

JediKnightChan

import requests
from bs4 import BeautifulSoup
from urllib.parse import urljoin, urlsplit
import os

save = True
headers = {'User-Agent': 'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_10_1)'}
base_dir = "./parse-results/"