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* add natural_sort.py * fix doctest * add 're' to requirements.txt and fix spelling errors * delete 're' from requirements.txt * fixing linting errors * Update sorts/natural_sort.py Co-authored-by: Christian Clauss <cclauss@me.com> * Update sorts/natural_sort.py Co-authored-by: Christian Clauss <cclauss@me.com> * Update natural_sort.py Co-authored-by: Christian Clauss <cclauss@me.com>
37 lines
1.2 KiB
Python
37 lines
1.2 KiB
Python
from __future__ import annotations
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import re
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def natural_sort(input_list: list[str]) -> list[str]:
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"""
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Sort the given list of strings in the way that humans expect.
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The normal Python sort algorithm sorts lexicographically,
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so you might not get the results that you expect...
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>>> example1 = ['2 ft 7 in', '1 ft 5 in', '10 ft 2 in', '2 ft 11 in', '7 ft 6 in']
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>>> sorted(example1)
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['1 ft 5 in', '10 ft 2 in', '2 ft 11 in', '2 ft 7 in', '7 ft 6 in']
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>>> # The natural sort algorithm sort based on meaning and not computer code point.
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>>> natural_sort(example1)
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['1 ft 5 in', '2 ft 7 in', '2 ft 11 in', '7 ft 6 in', '10 ft 2 in']
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>>> example2 = ['Elm11', 'Elm12', 'Elm2', 'elm0', 'elm1', 'elm10', 'elm13', 'elm9']
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>>> sorted(example2)
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['Elm11', 'Elm12', 'Elm2', 'elm0', 'elm1', 'elm10', 'elm13', 'elm9']
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>>> natural_sort(example2)
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['elm0', 'elm1', 'Elm2', 'elm9', 'elm10', 'Elm11', 'Elm12', 'elm13']
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"""
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def alphanum_key(key):
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return [int(s) if s.isdigit() else s.lower() for s in re.split("([0-9]+)", key)]
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return sorted(input_list, key=alphanum_key)
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if __name__ == "__main__":
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import doctest
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doctest.testmod()
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