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)
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Author:James Kurose, Keith Ross
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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](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F293032ce-89a7-4d5a-8a29-aae96cb1d151%2F33a2f149-577c-4c48-bf5b-37cbd4d90cbe%2Ff0ynsd_processed.png&w=3840&q=75)
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
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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