Random Dictionary Generator with Hypothesis Library

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Code introduction


This function uses the Hypothesis library to generate a random dictionary of words and their definitions. The size of the dictionary is randomly chosen between a specified minimum and maximum size.


Technology Stack : Hypothesis, strategies, zip

Code Type : Python Function

Code Difficulty : Intermediate


                
                    
import random

def random_word_dictionary_size(min_size=10, max_size=100):
    """
    Generates a random dictionary with random words and their definitions.
    The size of the dictionary is randomly chosen between min_size and max_size.
    """
    import hypothesis
    from hypothesis import strategies as st
    from hypothesis import assume

    # Generate random words and definitions
    words = st.text(min_length=5, max_length=10).list()
    definitions = st.text(min_length=20, max_length=100).list()

    # Ensure the dictionary has the correct number of words and definitions
    assume(len(words) == len(definitions))

    # Generate the dictionary
    dictionary = dict(zip(words, definitions))

    # Ensure the dictionary size is within the specified range
    if min_size <= len(dictionary) <= max_size:
        return dictionary
    else:
        return random_word_dictionary_size(min_size, max_size)

# Code Explanation
# The function generates a random dictionary with words and their definitions.
# It uses the Hypothesis library to generate random words and definitions.
# The size of the dictionary is randomly chosen between a specified minimum and maximum size.

# JSON Explanation