add Levinstein distance with Dynamic Programming: up -> down approach #7171
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The task: #7171 |
…ntyukhin/Python into min_distance_dp_up_bottom # Conflicts: # dynamic_programming/min_distance_up_bottom.py
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There is an inner function in the implementation. It doesn't requires tests, because outer function is tested. |
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@Kush1101 could you please review this PR |
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| len_word2 = len(word2) | ||
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| @lru_cache(maxsize=None) | ||
| def min_distance(index1: int, index2: int) -> int: |
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As there is no test file in this pull request nor any test function or class in the file dynamic_programming/min_distance_up_bottom.py, please provide doctest for the function min_distance
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| len_word2 = len(word2) | ||
|
|
||
| @lru_cache(maxsize=None) | ||
| def min_distance(index1: int, index2: int) -> int: |
There was a problem hiding this comment.
As there is no test file in this pull request nor any test function or class in the file dynamic_programming/min_distance_up_bottom.py, please provide doctest for the function min_distance
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| len_word2 = len(word2) | ||
|
|
||
| @lru_cache(maxsize=None) | ||
| def min_distance(index1: int, index2: int) -> int: |
There was a problem hiding this comment.
As there is no test file in this pull request nor any test function or class in the file dynamic_programming/min_distance_up_bottom.py, please provide doctest for the function min_distance
for more information, see https://pre-commit.ci
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| len_word2 = len(word2) | ||
|
|
||
| @lru_cache(maxsize=None) | ||
| def min_distance(index1: int, index2: int) -> int: |
There was a problem hiding this comment.
As there is no test file in this pull request nor any test function or class in the file dynamic_programming/min_distance_up_bottom.py, please provide doctest for the function min_distance
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Describe your change:
Levinstein distance with Dynamic Programming: up -> down approach. some tests are copied from https://github.com/TheAlgorithms/Python/blob/master/dynamic_programming/edit_distance.py#L61 .
Checklist:
Fixes: #{$ISSUE_NO}.