In the lecture, you have been given the design of a Python function that computes net monthly income when monthly gross income is known for year 2023 in Turkiye. You are required to design a Python function that computes gross monthly income when net monthly income is known for the same year and regulations. 1 keys = [ 2 3 4 5 "Gross Income "Insurance", "Unemployment", "Stamp Tax", "Cumulative Tax Base", "Cumulative Income Tax", "Monthly Income Tax", "Exclusion for Income Tax", 7 "Tax Ratio", 8 9 10. 11 12 13 14 15 16] 17 "Exclusion for Stamp Tax", "Net Income" "Employer's Share for Insurance", "Employer's Share for Unemployment", "Total Cost for Employee" 18 factor = f 19 20 21 22 23 24} 25 "insurance": 0.14, "unemployment": 0.01, "stamp_tax": 0.00759, "insurance_employer": 0.155, "unemployment employer": 0.02 26 def check_keys (p, keys, skip=""): 111 Checks the keys in the dict p. If present ensures its value to be a list of size 12, If not, creates the key and assigns a list of size 12, with 0 values for key in keys: 27 28 20 30 31 32 34 if key skip: 35 30 37 p[key] = continue if key not in p: [0 for i in range (12)] 38 else: 39 if not (type (p[key] == 40 = list) and len (p[key]) == 12): p[key] =[0 for i in range (12)] 41 42 def insurance_base (gross, imonth = 1) : 43 44 limit 75060.00 if imonth = 0 and cumulative_base = 70000.0 and cumulative_base < 150000.00: r, Tprev, Cmin = 0.20, 10500.00, 70000.00 elif cumulative_base >= 150000.0 and cumulative_base = 550000.0 and cumulative_base = 1900000.0: r, Tprev, Cmin = 0.40, 607000.00, 1900000.00 60 61 return { 62 63 641 65 66 67 } "ratio": r, "Tprev": Tprev, "Cmin": Cmin 68 def gross _to_net (p): 69 70 71 72 73 check_keys (p, keys) cumulative = 0 income tax = 0 for i in range (12): imonth i + 1 1 69 70 71 68 def gross_to_net (p): check_keys (p, keys) cumulative = 0 income tax = 0 72 for i in range (12): 73 imonth i + 1 74 75 76 77 78 79 80 81 82 base_for_insurance = insurance_base (p["Gross Income"] [i], imonth) p["Insurance"] [i] = factor ["insurance"] base_for_insurance p["Unemployment"] [i] = factor ["unemployment"] base_for_insurance cumulative = cumulative + p["Gross Income"][i]p["Insurance"] [i]p["Unemployment" ][i] p["Cumulative Tax Base"] [i] = cumulative p["Stamp Tax"] [i] = factor ["stamp_tax"] * p["Gross Income"][i]. p["Exclusion for Income Tax"] [i] = 1276.02 if imonth < 7 else 2280.47 75.96 if imonth < 7 else 101.82 p["Exclusion for Stamp Tax"] [i] p["Employer's Share for Insurance"] [i] = base for insurance factor ["insurance_employer"] * 83 p["Employer's Share for Unemployment"] [i] base for insurance = factor ["unemployment employer"] * 84 tax_data = get_tax_data (cumulative) 85 p["Tax Ratio"] [i] = tax_data["ratio"] 86 tax_data["Cmin"]) + p["Cumulative Income Tax"] [i] = tax_data["ratio"] (cumulative tax_data["Tprev"] - p["Monthly Income Tax"] [i] = p["Cumulative Income Tax"] [i]- income_tax income tax = p["Cumulative Income Tax"] [i] p["Net Income"] [i] = p["Gross Income"] [i]\ - p["Insurance"] [i]\ - p["Unemployment"] [i] \ - p["Stamp Tax"] [i] \ - p["Monthly Income Tax"] [i]\ 87 88 89 90 91 92 93 94 95 96 97 p["Total Cost for Employee"] [i] = p["Gross Income"] [i]\ 98 99 + p["Exclusion for Income Tax"] [i]\ + p["Exclusion for Stamp Tax"] [i] +p["Employer's Share for Insurance"] [i] \ + p["Employer's Share for Unemployment"] [i] You can check your results using the web application at [1]. Please note that computations depend on some upper and lower limits. For simplicity we can disregard lower limits and use sufficiently large amounts (> 20000,00 TL). However, upper limits must be considered. That is, insurance and unemployment cuts are limited to 75060,00 TL gross income for the first six months of 2023, and to 100608,90 TL for the last six months of 2023. All field included in the lecture solution must also be present in the data structure returned by the function.