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chore: import upstream snapshot with attribution
2026-07-13 12:31:33 +08:00

81 lines
1.8 KiB
Python

#!/usr/bin/env python3
"""Sample code with intentional issues for code assistant demo."""
import json
def process_users(user_list):
"""Process a list of user dictionaries."""
results = []
for user in user_list:
if not isinstance(user, dict):
continue
if 'name' not in user or 'email' not in user or 'age' not in user:
continue
name = user['name']
email = user['email']
age = user['age']
if age >= 18:
status = 'adult'
else:
status = 'minor'
results.append({
'name': name,
'email': email,
'status': status
})
return results
def read_config(path):
"""Read configuration from JSON file."""
with open(path, 'r') as f:
data = json.load(f)
return data
def calculate_average(numbers):
"""Calculate the average of a list of numbers."""
if not numbers:
return 0
return sum(numbers) / len(numbers)
class DataProcessor:
def __init__(self):
self.data = []
self.processed = False
def load(self, items):
for item in items:
self.data.append(item)
def process(self):
new_data = []
for d in self.data:
new_data.append(d.upper())
self.data = new_data
self.processed = True
def save(self, filename):
with open(filename, 'w') as f:
for item in self.data:
f.write(item + '\n')
if __name__ == '__main__':
users = [
{'name': 'Alice', 'email': 'alice@example.com', 'age': 25},
{'name': 'Bob', 'email': 'bob@example.com', 'age': 17},
]
processed = process_users(users)
print(processed)
numbers = [1, 2, 3, 4, 5]
avg = calculate_average(numbers)
print(f'Average: {avg}')