text element search time in python: list vs. set

text_search_profiling.py

import timeit
import random
import string

# Function to generate random text of length 32
def generate_random_text():
    return ''.join(random.choices(string.ascii_letters + string.digits, k=32))

# Generate a list of a couple of hundred random text values
random_text_list = [generate_random_text() for _ in range(400000)]
random_text_set = set(random_text_list)


# Function to search for a text in the list
def search_text_in_list(text):
    return text in random_text_list

# Function to search for a text in the set
def search_text_in_set(text):
    return text in random_text_set

# Profile the code using timeit
test_attempts = 1000
search_text = generate_random_text()  # Replace with the text you want to search
time_taken = timeit.timeit(lambda: search_text_in_list(search_text), number=test_attempts)
time_taken_set = timeit.timeit(lambda: search_text_in_set(search_text), number=test_attempts)

print(f"Time taken to search for '{search_text}' in the list: {time_taken:.6f} seconds, {time_taken/test_attempts:.6f} per search")
print(f"Time taken to search for '{search_text}' in the set: {time_taken_set:.6f} seconds, {time_taken_set/test_attempts:.6f} per search")
print(f"Searching set is faster {time_taken/time_taken_set:.2f} times")

Time taken to search for '5cH8gIlXYLFBJlfzwR8GclSY43L9c3lq' in the list: 7.061913 seconds, 0.007062 per search
Time taken to search for '5cH8gIlXYLFBJlfzwR8GclSY43L9c3lq' in the set: 0.000223 seconds, 0.000000 per search
Searching set is faster 31628.20 times