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Replace bandit, flake8, isort, and pyupgrade with ruff (#8178)
* Replace bandit, flake8, isort, and pyupgrade with ruff * Comment on ruff rules * updating DIRECTORY.md --------- Co-authored-by: github-actions <${GITHUB_ACTOR}@users.noreply.github.com>
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@ -6,13 +6,13 @@ to find edit distance.
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The aim is to demonstate up bottom approach for solving the task.
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The implementation was tested on the
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leetcode: https://leetcode.com/problems/edit-distance/
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"""
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"""
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Levinstein distance
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Dynamic Programming: up -> down.
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"""
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import functools
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def min_distance_up_bottom(word1: str, word2: str) -> int:
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"""
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@ -25,13 +25,10 @@ def min_distance_up_bottom(word1: str, word2: str) -> int:
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>>> min_distance_up_bottom("zooicoarchaeologist", "zoologist")
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10
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"""
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from functools import lru_cache
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len_word1 = len(word1)
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len_word2 = len(word2)
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@lru_cache(maxsize=None)
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@functools.cache
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def min_distance(index1: int, index2: int) -> int:
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# if first word index is overflow - delete all from the second word
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if index1 >= len_word1:
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@ -22,7 +22,7 @@ Minimum Cost For Tickets
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Dynamic Programming: up -> down.
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"""
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from functools import lru_cache
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import functools
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def mincost_tickets(days: list[int], costs: list[int]) -> int:
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@ -106,7 +106,7 @@ def mincost_tickets(days: list[int], costs: list[int]) -> int:
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days_set = set(days)
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@lru_cache(maxsize=None)
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@functools.cache
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def dynamic_programming(index: int) -> int:
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if index > 365:
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return 0
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@ -20,7 +20,7 @@ Runtime: O(n * n)
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Space: O(n)
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"""
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from functools import lru_cache
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import functools
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from typing import Any
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@ -80,7 +80,7 @@ def word_break(string: str, words: list[str]) -> bool:
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len_string = len(string)
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# Dynamic programming method
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@lru_cache(maxsize=None)
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@functools.cache
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def is_breakable(index: int) -> bool:
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"""
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>>> string = 'a'
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