Answer:
The solution code is written in Python:
- class Carpet:
- def __init__(self, rect, cost):
- self.size = rect
- self.costPerSqFoot = cost
-
- def cost(self):
- carpetCost = self.size.area() * self.costPerSqFoot
- return carpetCost
Explanation:
Presume that there is existence of Rectangle class as given in the question, Carpet class is written. The Carpet constructor is defined that take Rectangle object,<em> rect</em>, and <em>cost</em> as parameter (Line 2). To create data member of Carpet class, keyword "self" is used to precede with the name of the data members, <em>size </em>and <em>costPerSqFoot </em>(Line 3-4).<em> </em>The data members are initialized with the parameter <em>rect </em>and <em>cost</em>, respectively.
Next, cost method is defined (Line6 - 8). Within the <em>cost </em>method, the area method of Rectangle object is invoked by expression, <em>self.size.area() </em>and<em> </em>this will return the area value and multiplied with the costPerSqFoot to get the carpet cost and return it as output (Line 8).
Answer:
B. The hardware devices that are in your system
Answer:
20/20 vision, and quick internal math if you are talking about human characteristics. If you are talking about the sight survey itself and considering other aspects; You would want to make sure the site has an easily accessible area for the client, doing this by considering the following: easy access, building height (cell phone tower correspondents), multi-channel sight points, and wiring less visible than the access point.
Explanation:
AACAdvanced Audio Coding Computing » Software -- and more..
Answer:
option C
Explanation:
The correct answer is option C
the uploaded image shape is ( 433 , 650 )
this shape means that the image is a grayscale image which is 433 pixels high by 650 pixels wide.
a gray scale image is in white and black color.
433 pixels high by 650 pixel wide means that the image is formed with the combination of 433 vertical dots and 650 horizontal dots.
Resolution of an image can be found out by the pixels present in the images.
higher the pixel higher is he resolution of the image.
