Answer:
## http://pastebin.com/nQWtHb3B
#use above link for formatted program #Python3
c=[float(cord) for cord in input('Enter a point with 2 coordinate :').split(' ')]
base=[0,0]
w=10
h=5
if((abs(c[0]-base[0])<= float(w)/2) and (abs(c[1]-base[1])<= float(h)/2)):
print('Point (',c[0],', ',c[1],') is in the rectange')
else:
print('Point (',c[0],', ',c[1],') is not in the rectange')
Over the last decade, the overall energy consumption of cloud data centers worldwide has remained relatively the same because the technology supporting cloud data centers has become much more energy efficient.
<h3>Why has the energy consumption of cloud data centers remained the same?</h3>
The reason is that servers are said to be six times as heavy as data in terms of energy consumption is one that is seen to be due to improved hardware efficiency.
In regards to cloud, the machines are said to be running by giving web services and other machines room to consumes some level or amount of energy that can be used for working.
Hence, Over the last decade, the overall energy consumption of cloud data centers worldwide has remained relatively the same because the technology supporting cloud data centers has become much more energy efficient.
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See full question below
Over the last decade, the overall energy consumption of cloud data centers worldwide has remained relatively the same. Why is this so? The technology supporting cloud data centers has become much more energy efficient. There is significantly less customer demand for cloud computing than a decade ago. Cloud providers have placed limits on the amount of data stored at each center. Cloud data centers operate with less computing power than they did in the past.
Explanation:
Overlay analysis is an approach, taking in data from two or more layers to create a single output layer.
For example, if we have a layer of land use and a layer of soil fertility, we can derive from the two layers the percentage of agricultural land developed over fertile soil.
