本文整理匯總了Python中FileIO.getThirdFavNationalityArray方法的典型用法代碼示例。如果您正苦於以下問題:Python FileIO.getThirdFavNationalityArray方法的具體用法?Python FileIO.getThirdFavNationalityArray怎麽用?Python FileIO.getThirdFavNationalityArray使用的例子?那麽, 這裏精選的方法代碼示例或許可以為您提供幫助。您也可以進一步了解該方法所在類FileIO
的用法示例。
在下文中一共展示了FileIO.getThirdFavNationalityArray方法的1個代碼示例,這些例子默認根據受歡迎程度排序。您可以為喜歡或者感覺有用的代碼點讚,您的評價將有助於係統推薦出更棒的Python代碼示例。
示例1: main
# 需要導入模塊: import FileIO [as 別名]
# 或者: from FileIO import getThirdFavNationalityArray [as 別名]
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