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def get_balance(base_url, username, password): | |
url = base_url + "/v1/client/balance" | |
b64str = base64.b64encode("{}:{}".format(username,password).encode('utf-8')) | |
headers = {'Content-length' : '0', | |
'Content-type' : 'application/json', | |
'Authorization' : "Basic " + b64str.decode('utf-8')} | |
req = ulib.Request(url, headers=headers) | |
responseData = ulib.urlopen(req).read() | |
balance = json.loads(responseData.decode('utf-8')) |
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def get_sport_odds(base_url, username, password, sport = '15'): | |
url = base_url + '/v1/odds?sportId=' + str(sport) + '&oddsFormat=DECIMAL' | |
b64str = base64.b64encode("{}:{}".format(username,password).encode('utf-8')) | |
headers = {'Content-length' : '0', | |
'Content-type' : 'application/json', | |
'Authorization' : "Basic " + b64str.decode('utf-8') | |
} | |
req = ulib.Request(url, headers=headers) | |
responseData = ulib.urlopen(req).read() |
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def find_bet(all_odds): | |
bet_info = {} | |
favourable_odds = 1.91 | |
bet_info['sportId'] = all_odds['sportId'] | |
for i in all_odds['leagues']: | |
bet_info['leagueId'] = i['id'] | |
for j in i['events']: | |
bet_info['eventId'] = j['id'] | |
for k in j['periods']: | |
bet_info['period'] = k['number'] |
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def get_bet_info(base_url, username, password, bet, favourable_odds = 1.91): | |
b64str = base64.b64encode("{}:{}".format(username,password).encode('utf-8')) | |
headers = {'Content-length' : '0', | |
'Content-type' : 'application/json', | |
'Authorization' : "Basic " + b64str.decode('utf-8')} | |
url_without_team = base_url + "/v1/line?sportId={0}&leagueId={1}&eventId={2}&periodNumber={3}&betType=MONEYLINE&OddsFormat=DECIMAL"\ | |
.format(bet['sportId'], bet['leagueId'], bet['eventId'],bet['period']) | |
url = url_without_team + "&Team=Team1" |
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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'): |
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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'] | |
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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 |
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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: |
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#planet info which can be added as parameters | |
sun = {"location":point(0,0,0), "mass":2e30, "velocity":point(0,0,0)} | |
mercury = {"location":point(0,5.0e7,0), "mass":3.285e23, "velocity":point(47000,0,0)} | |
venus = {"location":point(0,1.1e11,0), "mass":4.8e24, "velocity":point(35000,0,0)} | |
earth = {"location":point(0,1.5e11,0), "mass":6e24, "velocity":point(30000,0,0)} | |
mars = {"location":point(0,2.2e11,0), "mass":2.4e24, "velocity":point(24000,0,0)} | |
jupiter = {"location":point(0,7.7e11,0), "mass":1e28, "velocity":point(13000,0,0)} | |
saturn = {"location":point(0,1.4e12,0), "mass":5.7e26, "velocity":point(9000,0,0)} | |
uranus = {"location":point(0,2.8e12,0), "mass":8.7e25, "velocity":point(6835,0,0)} | |
neptune = {"location":point(0,4.5e12,0), "mass":1e26, "velocity":point(5477,0,0)} |
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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) |
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