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Question 1: Sliding Window Averagerator Complete the code below, defining a sliding window averagerator. The class should have methods: _init_(self, window_size) to initialize the method and specify the window size; • add(self, x) , to add a value as well as properties avg and std, as in the previous averagerator classes. ### Question 1: Implement a `SlidingWindowAveragerator` class SlidingWindowAveragerator(object): # YOUR CODE HERE def _init_(self, window_size): self.window_size window_size %3D self.values = [] def add(self, x): self.values.append(x) def avg(self): def std(self): # YOUR CODE HERE

Question 1: Sliding Window Averagerator Complete the code below, defining a sliding window averagerator. The class should have methods: _init_(self, window_size) to initialize the method and specify the window size; • add(self, x) , to add a value as well as properties avg and std, as in the previous averagerator classes. ### Question 1: Implement a `SlidingWindowAveragerator` class SlidingWindowAveragerator(object): # YOUR CODE HERE def _init_(self, window_size): self.window_size window_size %3D self.values = [] def add(self, x): self.values.append(x) def avg(self): def std(self): # YOUR CODE HERE

Computer Networking: A Top-Down Approach (7th Edition)
Computer Networking: A Top-Down Approach (7th Edition)
7th Edition
ISBN:9780133594140
Author:James Kurose, Keith Ross
Publisher:James Kurose, Keith Ross
Chapter1: Computer Networks And The Internet
Section: Chapter Questions
Problem R1RQ: What is the difference between a host and an end system? List several different types of end...
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Implement a `SlidingWindowAveragerator` in PYTHON
second image are test cases for the functions
 
- Question 1: Sliding Window Averagerator Complete the code below, defining a sliding window averagerator. The class should have methods: _init_(self, window_size) to initialize the method and specify the window size; • add(self, x), to add a value as well as properties avg and std, as in the previous averagerator classes. ### Question 1: Implement a `SlidingWindowAveragerator` class SlidingWindowAveragerator(object): # YOUR CODE HERE def _init_(self, window_size): self.window_size = window_size [] self.values def add(self, x): self.values.append(x) def avg(self): def std(self): # YOUR CODE HERE
Transcribed Image Text:- Question 1: Sliding Window Averagerator Complete the code below, defining a sliding window averagerator. The class should have methods: _init_(self, window_size) to initialize the method and specify the window size; • add(self, x), to add a value as well as properties avg and std, as in the previous averagerator classes. ### Question 1: Implement a `SlidingWindowAveragerator` class SlidingWindowAveragerator(object): # YOUR CODE HERE def _init_(self, window_size): self.window_size = window_size [] self.values def add(self, x): self.values.append(x) def avg(self): def std(self): # YOUR CODE HERE
# 10 points. Then, for more complex cases. SlidingWindowAveragerator(10) in range(10): sa.add(1) assert sa.avg assert sa.std sa = for 1 SlidingWindowAveragerator(4) for _ in range (4): sa.add (3) assert sa.avg sa = 3 in range(4): sa.add(2) assert sa.avg for 2 assert sa.std for _ in range(4): sa.add(1) assert sa.avg assert sa.std SlidingWindowAveragerator(4) for x in range(10): sa.add(x) if x < 4: sa = assert sa.avg x / 2 else: assert sa.avg (2 * X - 3) / 2 SlidingWindowAveragerator(5) for x in range(10): sa.add(x) if x < 5: assert sa.avg sa = = x / 2 = else: (2 * x - 4) / 2 assert abs(sa.std - np.sqrt(2)) < 0.001 assert sa.avg ==
Transcribed Image Text:# 10 points. Then, for more complex cases. SlidingWindowAveragerator(10) in range(10): sa.add(1) assert sa.avg assert sa.std sa = for 1 SlidingWindowAveragerator(4) for _ in range (4): sa.add (3) assert sa.avg sa = 3 in range(4): sa.add(2) assert sa.avg for 2 assert sa.std for _ in range(4): sa.add(1) assert sa.avg assert sa.std SlidingWindowAveragerator(4) for x in range(10): sa.add(x) if x < 4: sa = assert sa.avg x / 2 else: assert sa.avg (2 * X - 3) / 2 SlidingWindowAveragerator(5) for x in range(10): sa.add(x) if x < 5: assert sa.avg sa = = x / 2 = else: (2 * x - 4) / 2 assert abs(sa.std - np.sqrt(2)) < 0.001 assert sa.avg ==
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