vashu1

""" Output:
T   Efficiency
100 1.6
200 5.4
300 7.8
400 9.6
500 11.0
600 12.2
700 13.1
"""

vashu1

# download https://github.com/Basistiy/duma/blob/master/data/edata.csv
from collections import Counter
import matplotlib.pyplot as plt
lines = open('edata.csv').readlines()[1:]
lines = [i.strip() for i in lines]
totals = [int(i.split(',')[-4]) for i in lines]
ers = [int(i.split(',')[-5]) for i in lines]
rats = [b/a*100 for a, b in zip(totals, ers) if a>0]
from matplotlib import pyplot

vashu1

ssm = 100
S = ssm / (100**2)
sr = 0.03+math.sqrt(ssm)/2/100

r = 0.03
m = 0.3

reff=r/2*3

import math

vashu1

import os
import functools
import operator
from datetime import datetime
from collections import defaultdict
import random
import numpy as np

DATE_FILTER_PATTERN = ' 12:00"' # take noon data
CSVS_FOLDER = 'csvs'

vashu1

import random
import math

random.seed(1) # to make reproducible results

def rand(): # +/- 10
  return (random.random() - 0.5) * 20

def avg(lst):
  return sum(lst) / len(lst)