Download 123/solution/_reference.py from PRHW/loom-benchmark-mbpp: direct link, hf CLI and curl.
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- Download file 586 Bytes
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https://huggingface.co/datasets/PRHW/loom-benchmark-mbpp/resolve/main/123/solution/_reference.py
- Command line
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hf download hf://datasets/PRHW/loom-benchmark-mbpp/123/solution/_reference.py
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curl -L -o _reference.py https://huggingface.co/datasets/PRHW/loom-benchmark-mbpp/resolve/main/123/solution/_reference.py
586 Bytes
| def amicable_numbers_sum(limit): | |
| if not isinstance(limit, int): | |
| return "Input is not an integer!" | |
| if limit < 1: | |
| return "Input must be bigger than 0!" | |
| amicables = set() | |
| for num in range(2, limit+1): | |
| if num in amicables: | |
| continue | |
| sum_fact = sum([fact for fact in range(1, num) if num % fact == 0]) | |
| sum_fact2 = sum([fact for fact in range(1, sum_fact) if sum_fact % fact == 0]) | |
| if num == sum_fact2 and num != sum_fact: | |
| amicables.add(num) | |
| amicables.add(sum_fact2) | |
| return sum(amicables) |