neuman

import random
hash_tag_string = ""
description_text_string = ""

  # return bool(random.getrandbits(1))


# [subject]}, [prepositional details]}, [setting]}, [meta modifiers and artist]
# a beautiful symmetrical painting of a lighthouse at sunset, overlooking a calm ocean, as seen from below, by thomas kinkade
#"FORMULA": ["MEDIA_TYPES","THINGS","PLACES","VIEWPOINTS","ARTISTS","MODIFIERS"],

neuman

10;https://trello.com/b/ejFbDwWP/fridge-door
10;http://10.0.0.181:2202/ubooquity/comics/25819/?random=true
10;https://trello.com/b/omLiMCaX/house
10;http://10.0.0.181:32400/web/index.html
10;https://sharptools.io/dashboard/view/XeC32e8uq6XwNMgzW5wD
10;https://trello.com/b/raQF7oGp/recipes
20;https://www.ecobee.com/consumerportal/index.html#/devices/thermostats/311036220143/homeiq/diagnostics/system
10;https://photos.google.com/share/AF1QipMNFBoE8PfxvoOyg3CId_Vby4Ln_r6OGk8jTlPqGb6IEe4AgrhQhQLhJETKNr5sbA?key=OHJTcUlSVXE2UEYxWm5NeU95aFZlTml6WGN3bndn
10;http://10.0.0.181:3003/d/A4ESkhbMz/temp?orgId=1
10;http://10.0.0.181:3003/d/oXkEf1xGz/iot?orgId=1

neuman

for i in *.pdf 
do
    if test -f "$i" 
    then
       echo "Converting $i to ${i%.*}.cbz"
       convert -density 150 "$i" -quality 90 output.png
       zip -R "${i%.*}".cbz '*.png'
       rm *.png

    fi

neuman

class TweetScraper(object):

    def scrape(self, query, when=None, tokens=None):
        output = []
        if when == None:
            when = (datetime.datetime.now() - datetime.timedelta(hours=24)).strftime('%Y-%m-%d')

        for tweet in self.get_tweets_since(query, when, tokens):
            blob = TextBlob(tweet['text'])
            new_tweet = cm.Tweet(text=tweet['text'], url=tweet['id'], profile_image_url=tweet['user']['profile_image_url'], screen_name=tweet['user']['screen_name'], favourites_count=tweet['favorite_count'], retweet_count=tweet['retweet_count'], followers_count=tweet['user']['followers_count'], polarity=blob.polarity, subjectivity=blob.subjectivity)

neuman

  o.centerOriginToTopLeft = (x, y, w, h) =>{
    return new THREE.Vector2((w/2)-x, (h/2)-y);
  };

  o.latLonToVector3 = (lat, lng, radius)  => {
    // convert latitude / longitude to angles between 0 and 2*phi
    var phi = (90 - lat) * Math.PI / 180;
    var theta = (180 - lng) * Math.PI / 180;

    // Calculate the xyz coordinate from the angles

neuman

using System;
using UnityEngine;
using System.Collections.Generic;

public static class DDD
{
    /*
    MILKCRATE.ddd.latLongToVector3 = function(lat, lng, radius, h)
    {
        // convert latitude / longitude to angles between 0 and 2*phi

neuman

from __future__ import division, unicode_literals
import math
from textblob import TextBlob as tb
from goose import Goose

def tf(word, blob):
    return blob.words.count(word) / len(blob.words)

def n_containing(word, bloblist):
    return sum(1 for blob in bloblist if word in blob)

neuman

using UnityEngine;
using System.Collections;
using System;


public class HoverBob : MonoBehaviour {
	float originalY;
	public float floatSpeed = 1;
	
	public float floatStrength = 1;

neuman

from __future__ import division, unicode_literals
import math
from textblob import TextBlob as tb
from goose import Goose

def tf(word, blob):
    return blob.words.count(word) / len(blob.words)

def n_containing(word, bloblist):
    return sum(1 for blob in bloblist if word in blob)

neuman

class EmbeddedMixin(object):

    def get_embedded(self, hierarchy, key, value, depth=0, indexes=False):
        index = 0
        domain = hierarchy.pop(0)
        if len(hierarchy) == 0:
            for embedded in self[domain]:
                if embedded[key] == value:
                    if indexes == True:
                        return [index]