# # DEPRECATED - use AutomobileTypeFuelYearAge
# Feature: Data import for AutomobileTypeFuelAge
#   As a data user
#   I want to import AutomobileTypeFuelAge data
#   So that I can perform type fuel age-based calculations
#   
#   Scenario: Successfully verifying that type name and fuel common name are not missing
#     Given a "AutomobileTypeFuelAge" data import fetches results listed in "automobile_type_fuel_age_good"
#     When a data import verifies "Type name and fuel common name should never be missing"
#     Then the verification should be successful
#   
#   Scenario: Successfully verifying that age is from zero to thirty
#     Given a "AutomobileTypeFuelAge" data import fetches results listed in "automobile_type_fuel_age_good"
#     When a data import verifies "Age should be from zero to thirty"
#     Then the verification should be successful
#   
#   Scenario: Successfully verifying that age percent and total travel percent are from zero to one
#     Given a "AutomobileTypeFuelAge" data import fetches results listed in "automobile_type_fuel_age_good"
#     When a data import verifies "Age percent and total travel percent should be from zero to one"
#     Then the verification should be successful
#   
#   Scenario: Successfully verifying that annual distance and vehicles are greater than zero
#     Given a "AutomobileTypeFuelAge" data import fetches results listed in "automobile_type_fuel_age_good"
#     When a data import verifies "Annual distance and vehicles should be greater than zero"
#     Then the verification should be successful
#   
#   Scenario: Successfully verifying that annual distance units are kilometres
#     Given a "AutomobileTypeFuelAge" data import fetches results listed in "automobile_type_fuel_age_good"
#     When a data import verifies "Annual distance units should be kilometres"
#     Then the verification should be successful
#   
#   Scenario: Failing to verify that type name and fuel common name are not missing
#     Given a "AutomobileTypeFuelAge" data import fetches results listed in "automobile_type_fuel_age_bad"
#     When a data import verifies "Type name and fuel common name should never be missing"
#     Then the verification should not be successful
#   
#   Scenario: Failing to verify that age is from zero to thirty
#     Given a "AutomobileTypeFuelAge" data import fetches results listed in "automobile_type_fuel_age_bad"
#     When a data import verifies "Age should be from zero to thirty"
#     Then the verification should not be successful
#   
#   Scenario: Failing to verify that age percent and total travel percent are from zero to one
#     Given a "AutomobileTypeFuelAge" data import fetches results listed in "automobile_type_fuel_age_bad"
#     When a data import verifies "Age percent and total travel percent should be from zero to one"
#     Then the verification should not be successful
#   
#   Scenario: Failing to verify that annual distance and vehicles are greater than zero
#     Given a "AutomobileTypeFuelAge" data import fetches results listed in "automobile_type_fuel_age_bad"
#     When a data import verifies "Annual distance and vehicles should be greater than zero"
#     Then the verification should not be successful
#   
#   Scenario: Failing to verify that annual distance units are kilometres
#     Given a "AutomobileTypeFuelAge" data import fetches results listed in "automobile_type_fuel_age_bad"
#     When a data import verifies "Annual distance units should be kilometres"
#     Then the verification should not be successful