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import pandas as pd
import time
import csv
import os
from time import gmtime, strftime
import numpy as np
import matplotlib.pyplot as plt
CONSTANT = 3_6000_000 / 24
# Largest to smallest failure traces:
# Facebook (112115 failures), Twitter (64128 failures), Youtube (56286) Whatsapp (19769), Gmail (14622)
# Threshold is everywhere 218
def get_name() -> str:
curr = time.time()
s = strftime("%d_%b_%Y_%H%M%S", gmtime(curr))
return s
def iterate(frame):
red_alarms = 0
yellow_alarms = 0
for i, row in frame.iterrows():
s = row["alarm"]
if s == "red":
red_alarms = red_alarms + 1
if s == "yellow":
yellow_alarms = yellow_alarms + 1
return (yellow_alarms, red_alarms)
def main():
df = pd.read_csv("NoColumn.txt")
print(df)
result = iterate(df)
print(result)
if __name__ == "__main__":
main()
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