AppliedDataS

def test_energy(countries):
    """
    Input: a series/ the Country column in Energy
    utf-8 encoded i.e. when reading Energy use
    encoding='utf-8'
    """
    encodedC = '11,7,7,14,7,6,8,19,9,7,5,9,7,10,7,7,10,8,7,7,6,5,7,6,7,32,22,8,6,22,17,8,12,7,10,8,8,6,14,24,4,5,5,9,42,8,7,5,12,10,13,7,4,7,6,14,37,32,7,8,8,18,7,5,11,17,7,7,8,14,16,4,7,6,13,16,5,6,7,7,5,9,6,9,7,10,4,9,8,6,13,6,5,8,7,7,5,9,4,4,7,11,6,5,7,5,6,6,10,5,8,6,10,32,6,7,7,7,5,13,9,10,10,6,8,8,4,5,16,10,10,9,6,10,8,10,10,7,10,7,7,5,5,11,13,11,9,5,7,4,24,6,4,8,5,6,16,8,4,11,6,8,11,5,11,19,7,7,18,6,12,21,11,25,32,5,21,12,7,6,10,12,9,12,8,8,15,7,12,11,5,9,18,5,8,9,6,11,20,10,8,41,11,4,5,19,7,6,12,24,6,6,7,20,14,27,13,28,7,10,7,9,8,25,5,6,8'
    outcome = ['Failed\n', 'Passed\n']
    
    

AppliedDataS

def test_gdp(countries):
    """
    Input: a series/ the Country column in GDP
    utf-8 encoded i.e. when reading GDP use
    encoding='utf-8'
    """
    encodedC = '5,7,11,6,7,10,20,9,7,14,19,9,7,10,7,7,5,12,10,8,7,12,22,7,6,7,7,6,8,17,6,8,24,6,30,11,15,5,5,13,8,11,8,7,10,10,22,4,7,14,6,14,7,8,8,7,18,7,43,26,19,45,21,7,16,9,7,5,7,8,14,40,7,4,6,13,21,5,14,7,5,9,6,11,13,17,6,7,9,9,4,6,11,9,8,38,7,5,7,9,16,9,9,9,8,11,5,14,7,4,4,7,6,5,7,6,5,10,5,15,8,8,19,11,6,6,49,7,7,7,5,9,25,44,10,13,9,19,19,7,25,9,10,6,16,24,7,6,7,10,8,26,6,16,13,14,4,5,7,50,10,8,24,10,10,9,6,8,13,7,13,5,7,9,11,6,5,5,11,12,4,18,8,6,4,11,5,16,6,24,11,25,8,8,27,25,16,5,7,18,6,10,12,5,7,9,15,12,11,10,7,6,42,11,18,12,21,8,15,8,6,9,25,10,20,24,4,42,44,4,8,10,12,52,49,11,5,23,41,19,7,6,6,8,6,7,19,7,13,10,30,13,22,21,7,7,18,5,5,11,12,16,6,8'
    outcome = ['Failed\n', 'Passed\n']
    
    

AppliedDataS

import re
import pandas as pd
import numpy as np
# list of unique states
stateStr = """
Ohio, Kentucky, American Samoa, Nevada, Wyoming
,National, Alabama, Maryland, Alaska, Utah
,Oregon, Montana, Illinois, Tennessee, District of Columbia
,Vermont, Idaho, Arkansas, Maine, Washington
,Hawaii, Wisconsin, Michigan, Indiana, New Jersey