public void Computes_Result_For_Two_Reviews()
{
var data = BuildRestaurantsAndReviews(ratings: new [] {4, 8});
var rater = new RestaurantRater(data);
var result = rater.ComputeRating(10);
Assert.AreEqual(6, result.Rating);
}
public void Compute_Result_For_One_Review()
{
var data = BuildRestaurantAndReviews(ratings: 4);
var rater = new RestaurantRater(data);
var result = rater.ComputeRating(10);
Assert.AreEqual(4, result.Rating);
}
public void Weighted_Averaging_For_Two_Reviews()
{
var data = BuildRestaurantAndReviews(3, 9);
var rater = new RestaurantRater(data);
var result = rater.ComputeRating(10);
Assert.AreEqual(6, result.Rating);
}
public void Computes_Result_For_One_Review()
{
// Arrange
var data = BuildRestaurantAndReviews(ratings: 4);
// Act
var rater = new RestaurantRater(data);
var result = rater.ComputeRating(10);
// Assert
Assert.AreEqual(4, result.Rating);
}
public void Computes_Result_For_One_Review()
{
//First we need a restaurant
var data = BuildRestaurantsAndReviews(ratings: 4);
//Lets create some method to calculate our rating - "rater"
var rater = new RestaurantRater(data);
//ComputerRating accepts number of reviews to use
var result = rater.ComputeRating(10);
//Assert the result
Assert.AreEqual(4,result.Rating);
}
public void Computes_Result_For_One_Review()
{
var data = new Restaurant();
data.Reviews = new List <RestaurantReview>();
data.Reviews.Add(new RestaurantReview()
{
Rating = 4
});
var rater = new RestaurantRater(data);
var result = rater.ComputeRating(10);
Assert.AreEqual(4, result.Rating);
}
