Generated C code inspection in Simulink - Mini Project: Build & Apply

Generated C code inspection

📖 Scenario: You work as a data analyst in a company that uses Simulink to generate C code for embedded systems. Your task is to inspect the generated C code metrics to understand code complexity and size.

🎯 Goal: Build a Python program that stores generated C code metrics, filters metrics based on a threshold, and displays the filtered results.

📋 What You'll Learn

Create a dictionary with exact metric names and values

Add a threshold variable to filter metrics

Use a dictionary comprehension to filter metrics above the threshold

Print the filtered dictionary

💡 Why This Matters

🌍 Real World

Inspecting generated C code metrics helps engineers understand code complexity and maintainability in embedded systems.

💼 Career

Data analysts and software engineers often analyze code metrics to improve software quality and performance.

1

Create the metrics dictionary

Create a dictionary called code_metrics with these exact entries: 'Lines of Code': 1200, 'Cyclomatic Complexity': 15, 'Function Count': 45, 'Comment Percentage': 20

Simulink

# Create the dictionary code_metrics with the given entries
# Your code here

Hint

Use curly braces {} to create a dictionary with key-value pairs separated by commas.

2

Add a threshold variable

Create a variable called threshold and set it to 30 to filter metrics with values greater than this number.

Simulink

code_metrics = {'Lines of Code': 1200, 'Cyclomatic Complexity': 15, 'Function Count': 45, 'Comment Percentage': 20}
# Create the variable threshold and set it to 30
# Your code here

Hint

Just assign the number 30 to the variable threshold.

3

Filter metrics above threshold

Use a dictionary comprehension to create a new dictionary called filtered_metrics that contains only the entries from code_metrics where the value is greater than threshold. Use for metric, value in code_metrics.items() in your comprehension.

Simulink

code_metrics = {'Lines of Code': 1200, 'Cyclomatic Complexity': 15, 'Function Count': 45, 'Comment Percentage': 20}
threshold = 30
# Create filtered_metrics using dictionary comprehension
# Your code here

Hint

Use the syntax: {key: value for key, value in dictionary.items() if condition}

4

Display the filtered metrics

Print the filtered_metrics dictionary to display the metrics with values above the threshold.

Simulink

code_metrics = {'Lines of Code': 1200, 'Cyclomatic Complexity': 15, 'Function Count': 45, 'Comment Percentage': 20}
threshold = 30
filtered_metrics = {metric: value for metric, value in code_metrics.items() if value > threshold}
# Print the filtered_metrics dictionary
# Your code here

Hint

Use print(filtered_metrics) to show the filtered dictionary.