本文整理汇总了Python中FileIO.getSecondFavNationalityArray方法的典型用法代码示例。如果您正苦于以下问题：Python FileIO.getSecondFavNationalityArray方法的具体用法？Python FileIO.getSecondFavNationalityArray怎么用？Python FileIO.getSecondFavNationalityArray使用的例子？那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类FileIO的用法示例。
在下文中一共展示了FileIO.getSecondFavNationalityArray方法的1个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Python代码示例。
示例1: main
# 需要导入模块: import FileIO [as 别名]
# 或者: from FileIO import getSecondFavNationalityArray [as 别名]
def main():
fileInteraction = FileIO() # Create instances of FileIO and UserIO
userInteraction = UserIO()
userInteraction.printWelcomeMessage() # Print the welcome message
fileInteraction.getInfoFromFile() # Get the infro from the file
ageArray = fileInteraction.getAgeArray() # Retreive the variablies required from the file
countryArray = fileInteraction.getCountryArray()
firstNationalityArray = fileInteraction.getFavNationalityArray()
secondNationalityArray = fileInteraction.getSecondFavNationalityArray()
thirdNationalityArray = fileInteraction.getThirdFavNationalityArray()
genderArray = fileInteraction.getGenderArray()
nationalityArray = fileInteraction.getNationalityArray()
spicyArray = fileInteraction.getSpicyArray()
userInteraction.getInitialInformation() # Get the user's information
age = userInteraction.getAgeRange() # Retreive the variables required from the user
country = userInteraction.getLocation()
favourites = userInteraction.getFoodFavorites()
firstFavourite = favourites[0]
secondFavourite = favourites[1]
thirdFavourite = favourites[2]
gender = userInteraction.getGender()
nationality = userInteraction.getNationality()
spicy = userInteraction.getSpicy()
sortClass = Sort(gender, nationality, age, spicy, favourites, country, genderArray, nationalityArray, ageArray, spicyArray, countryArray, firstNationalityArray, secondNationalityArray, thirdNationalityArray)
recommendations = sortClass.getRankings() # Sort the recommendations and then get the rankings from the class
userInteraction.displayRecommendations(recommendations) # Display the recommendations