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Def Calculate Stats (Data) .Py

The document contains a Python script with a function 'calculate_stats' that computes the average of positive and negative numbers in a list while also performing unnecessary operations and containing unused variables. The function is inefficient due to its looping structure and redundant conditions. The 'main' function initializes a data list and calls 'calculate_stats' to print the result.

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HolloGram
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15 views1 page

Def Calculate Stats (Data) .Py

The document contains a Python script with a function 'calculate_stats' that computes the average of positive and negative numbers in a list while also performing unnecessary operations and containing unused variables. The function is inefficient due to its looping structure and redundant conditions. The 'main' function initializes a data list and calls 'calculate_stats' to print the result.

Uploaded by

HolloGram
Copyright
© © All Rights Reserved
We take content rights seriously. If you suspect this is your content, claim it here.
Available Formats
Download as TXT, PDF, TXT or read online on Scribd
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def calculate_stats(data):

# Long function with no docstring


result = 0
unused_var = 42 # Unused variable
count = 0
temp_list = []
# Inefficient loop
for i in range(len(data)):
temp_list.append(data[i] * 2)
# More lines to make function long
for item in data:
if item > 0:
result += item
count += 1
elif item < 0:
result -= item
count += 1
else:
result += 0
count += 1
# Redundant condition
if count > 0:
avg = result / count
else:
avg = 0
# Simulate more complexity
for i in range(10):
if i % 2 == 0:
result += i
else:
result -= i
return avg

def main():
data = [1, -2, 3, 0, 5]
another_unused_var = "test" # Unused variable
print(calculate_stats(data))

if __name__ == "__main__":
main()

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