Stochastic Consistency Test

Let me help you write code to generate jokes and check their uniqueness. Here's a Python script that does this:

import random

# List of sample jokes
jokes = [
    "Why don't scientists trust atoms? Because they make up everything!",
    "What do you call a bear with no teeth? A gummy bear!",
    "Why did the scarecrow win an award? He was outstanding in his field!",
    "What do you call a fake noodle? An impasta!",
    "Why did the cookie go to the doctor? Because it was feeling crumbly!",
    "What do you call a can opener that doesn't work? A can't opener!",
    "Why don't eggs tell jokes? They'd crack up!",
]

# Generate 5 random jokes
selected_jokes = random.sample(jokes, 5)

# Print the jokes and count unique ones
print("Generated jokes:")
for i, joke in enumerate(selected_jokes, 1):
    print(f"{i}. {joke}")

unique_jokes = len(set(selected_jokes))
print(f"\nNumber of unique jokes: {unique_jokes}")

When you run this code, it will:

1. Create a list of sample jokes
2. Randomly select 5 jokes from the list
3. Print each selected joke
4. Count and display how many unique jokes were selected

Since we're using random.sample(), which selects items without replacement, all 5 jokes will always be unique (unique_jokes will always be 5). If you wanted to allow for potential duplicates, you could use random.choices() instead.

Would you like me to modify the code to allow for potential duplicates in the selection?