<jupyter_start><jupyter_text>R-1.1<jupyter_code>def is_multiple(n,m):
    if n%m == 0:
        return True
    else:
        return False
is_multiple(32,11)<jupyter_output><empty_output><jupyter_text>R-1.2<jupyter_code>def is_even(k):
    q,r = divmod(k,2)
    if r == 0:
        return True
    else:
        return False
is_even(3)<jupyter_output><empty_output><jupyter_text>R-1.3<jupyter_code>def minmax(data):
    data = sorted(data)
    if len(data) != 0:
        return data[0], data[len(data)-1]
    return
minmax([23,56,98,34,1984])<jupyter_output><empty_output><jupyter_text>R-1.4<jupyter_code>def sumsqr(k):
    y = None
    for x in range(k):
        y += x*x
    return y<jupyter_output><empty_output>
{'fraction_non_alphanumeric': 0.14726507713884993, 'fraction_numerical': 0.043478260869565216, 'mean_word_length': 3.6666666666666665, 'pattern_counts': {'":': 0, '<': 17, '<?xml version=': 0, '>': 17, 'https://': 0, 'lorem ipsum': 0, 'www.': 0, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 0, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
{'chain_length': '4', 'dir': 'jupyter-structured-clean-dedup', 'id': '614377', 'license': 'MIT', 'n_tokens_mistral': 322, 'n_tokens_neox': 307, 'n_words': 45, 'path': 'PythonPrimer/.ipynb_checkpoints/Exercises-checkpoint.ipynb', 'repo_name': 'Dheepan-Manoharan/PythonDataStructures', 'size': '713'}