dr-alberto

import numpy as np
from scipy.linalg import lu
 
def linearly_dependent(x, y):
  if len(x) == 2 and len(y) == 2:
    matrix = np.array([x, y]).T
    return np.linalg.det(matrix) == 0.0
  else:
    matrix = np.array([x, y])
    _, u = lu(matrix, permute_l=True)

dr-alberto

def readmail(volume):
    time.sleep(1.5)
    m = imaplib.IMAP4_SSL("imap.gmail.com")
    m.login(user, pwd)
    m.select('"[Gmail]/All Mail"')
    resp, items = m.search(None,
                           "NOT SEEN FROM tradingview")
    items = items[0].split()
    for emailid in items:
        resp, data = m.fetch(emailid,