<jupyter_start><jupyter_text>Bit CountingWrite a function that takes an (unsigned) integer as input, and returns the number of bits that are equal to one in the binary representation of that number. Example:The binary representation of `1234` is `10011010010`, so the function should return `5` in this case<jupyter_code>def countBits(n):
    count = 0
    while n > 0:
        count += (n & 1)
        n = n >> 1
        
    return count
print countBits(1234)<jupyter_output>5<jupyter_text>Remove the MinGiven an array of integers, remove the smallest value. Do not mutate the original array/list. If there are multiple elements with the same value, remove the one with a lower index. If you get an empty array/list, return an empty array/list.Don't change the order of the elements that are left. Examples```pythonremove_smallest([1,2,3,4,5]) = [2,3,4,5]remove_smallest([5,3,2,1,4]) = [5,3,2,4]remove_smallest([2,2,1,2,1]) = [2,2,2,1]```<jupyter_code>def remove_smallest(numbers):
    if len(numbers) < 1: 
        return numbers
    
    idx = numbers.index(min(numbers))
    return numbers[0:idx] + numbers[idx+1:]
print remove_smallest([5,3,2,1,4])<jupyter_output>[5, 3, 2, 4]
{'fraction_non_alphanumeric': 0.11505922165820642, 'fraction_numerical': 0.05414551607445008, 'mean_word_length': 4.451612903225806, 'pattern_counts': {'":': 0, '<': 8, '<?xml version=': 0, '>': 10, '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': '2', 'dir': 'jupyter-structured-clean-dedup', 'id': '99094', 'license': 'MIT', 'n_tokens_mistral': 424, 'n_tokens_neox': 389, 'n_words': 132, 'path': 'Bit Counting & Remove Min.ipynb', 'repo_name': 'spacedrabbit/python_code_wars', 'size': '1182'}