benrules2

def update_location(bodies, time_step = 1):
    for target_body in bodies:
        target_body.location.x += target_body.velocity.x * time_step
        target_body.location.y += target_body.velocity.y * time_step
        target_body.location.z += target_body.velocity.z * time_step

benrules2

def compute_velocity(bodies, time_step = 1):
    for body_index, target_body in enumerate(bodies):
        acceleration = calculate_single_body_acceleration(bodies, body_index)
        target_body.velocity.x += acceleration.x * time_step
        target_body.velocity.y += acceleration.y * time_step
        target_body.velocity.z += acceleration.z * time_step 

benrules2

def calculate_single_body_acceleration(bodies, body_index):
    G_const = 6.67408e-11 #m3 kg-1 s-2
    acceleration = point(0,0,0)
    target_body = bodies[body_index]
    for index, external_body in enumerate(bodies):
        if index != body_index:
            r = (target_body.location.x - external_body.location.x)**2 + (target_body.location.y - external_body.location.y)**2 + (target_body.location.z - external_body.location.z)**2
            r = math.sqrt(r)
            tmp = G_const * external_body.mass / r**3
            acceleration.x += tmp * (external_body.location.x - target_body.location.x)

benrules2

import praw
import sys

def get_subreddit_comments(reddit_agent, subreddit, comments_out = [], count = 100):
    try:
        sub = reddit_agent.get_subreddit(subreddit)
        comments_raw = sub.get_comments(sub, limit=count)
        comments_flat = praw.helpers.flatten_tree(comments_raw)
        for comment in comments_flat:
            try:

benrules2

import praw

def get_subreddit_comments(reddit_agent, subreddit, comments_out = [], count = 100):
    try:
        sub = reddit_agent.get_subreddit(subreddit)
        comments_raw = sub.get_comments(sub, limit=count)
        comments_flat = praw.helpers.flatten_tree(comments_raw)
        for comment in comments_flat:
            try:
                if hasattr(comment, 'comments'):

benrules2

if __name__ == "__main__":
        
    client_id = 'your_client_id'
    client_secret = 'your_client_secret'
    reddit_agent = get_reddit_agent('custom name for app', client_id, client_secret)

    #list of canadian reddits to search
    canada_reddits = ['canada','alberta','britishcolumbia','Manitoba','NewBrunswickCanada', 'newfoundland',
                       'NovaScotia','nunavut','NWT','ontario','PEI', 'saskatchewan','Yukon']
    

benrules2

def get_sorry_and_word_count(comment_list, apologies = ['sorry', 'apologies']):
    sorry_count = 0
    word_count = 0
    for comment in comment_list:
        words = comment.split(' ')
        word_count += int(len(words))
        for word in words:
            for apology in apologies:
                sorry_count += word.lower().count(apology)
    return sorry_count, word_count

benrules2

def get_subreddit_comments(reddit_agent, subreddit, comments_out = [], count = 100):
    #surrounded by try catch in case API calls get exceed
    try:
        sub = reddit_agent.get_subreddit(subreddit)
        comments_raw = sub.get_comments(sub, limit=count)
        comments_flat = praw.helpers.flatten_tree(comments_raw)
        for comment in comments_flat:
            #try catch handles end of reply tree containing a null comment
            try:
                if hasattr(comment, 'comments'):

benrules2

def get_reddit_agent(user_agent, client_id, client_secret, redirect='http://127.0.0.1'):
    reddit_agent = praw.Reddit(user_agent = user_agent)
    reddit_agent.set_oauth_app_info(client_id = client_id,
                      client_secret = client_secret,
                      redirect_uri = redirect)
    return reddit_agent

benrules2

def read_messages(twitter_account, since = 0):
    mentions = tweepy.Cursor(twitter_account.mentions_timeline, since_id = str(since)).items()
    tweets = []

    for tweet in tweets:
        tweets.append(tweet.text)
        if (tweet.id > since):
            since = tweet.id

    return {"messages":tweets, "since_id": since}