How many times more in current unbilled receivables than long-term unbilled receivables did the company have in its opening balance?
{"Opening Balance as of March 31, 2018": {"Accounts Receivable": 152219, "Unbilled Receivable (current)": 9900, "Unbilled Receivable (long-term)": 4380, "Deferred Revenue (current)": 241113, "Deferred Revenue (long-term)": 84661}, "Increase/(decrease), net": {"Accounts Receivable": 9351, "Unbilled Receivable (current)": 5366, "Unbilled Receivable (long-term)": 2836, "Deferred Revenue (current)": -2674, "Deferred Revenue (long-term)": 14596}, "Ending Balance as of March 31, 2019": {"Accounts Receivable": 161570, "Unbilled Receivable (current)": 15266, "Unbilled Receivable (long-term)": 7216, "Deferred Revenue (current)": 238439, "Deferred Revenue (long-term)": 99257}}
current_unbilled = df["Opening Balance as of March 31, 2018"]["Unbilled Receivable (current)"]
long_term_unbilled = df["Opening Balance as of March 31, 2018"]["Unbilled Receivable (long-term)"]
answer = current_unbilled / long_term_unbilled