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algorithms/labs/lab6/assets/1.png
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algorithms/labs/lab6/assets/1.png
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algorithms/labs/lab6/assets/2.png
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algorithms/labs/lab6/assets/2.png
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algorithms/labs/lab6/assets/3.png
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algorithms/labs/lab6/assets/3.png
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29
algorithms/labs/lab6/code/1.py
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29
algorithms/labs/lab6/code/1.py
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def thief_knapsack(weights, values, M, K):
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cap = M * K
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n = len(weights)
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dp = [0] * (cap + 1)
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take = [[False] * (cap + 1) for _ in range(n)]
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for i in range(n):
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w = weights[i]
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v = values[i]
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for c in range(cap, w - 1, -1):
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if dp[c - w] + v > dp[c]:
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dp[c] = dp[c - w] + v
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take[i][c] = True
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c = cap
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items = []
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for i in range(n - 1, -1, -1):
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if take[i][c]:
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items.append(i)
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c -= weights[i]
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items.reverse()
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return dp[cap], items
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if __name__ == "__main__":
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weights = [2, 3, 4, 5, 9, 7, 3]
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values = [3, 4, 5, 8, 10, 7, 6]
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M = 2
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K = 10
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best, items = thief_knapsack(weights, values, M, K)
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print(best, items)
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35
algorithms/labs/lab6/code/2.py
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35
algorithms/labs/lab6/code/2.py
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def matrix_chain_order(p):
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n = len(p) - 1
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m = [[0] * n for _ in range(n)]
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s = [[0] * n for _ in range(n)]
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for L in range(2, n + 1):
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for i in range(n - L + 1):
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j = i + L - 1
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m[i][j] = 10**18
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for k in range(i, j):
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q = m[i][k] + m[k + 1][j] + p[i] * p[k + 1] * p[j + 1]
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if q < m[i][j]:
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m[i][j] = q
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s[i][j] = k
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return m, s
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def build_parenthesization(s, i, j, names):
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if i == j:
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return names[i]
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k = s[i][j]
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return (
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"("
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+ build_parenthesization(s, i, k, names)
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+ build_parenthesization(s, k + 1, j, names)
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+ ")"
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)
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if __name__ == "__main__":
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p = [30, 35, 15, 5, 10, 20, 25]
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names = ["A", "B", "C", "D", "E", "F"][: len(p) - 1]
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m, s = matrix_chain_order(p)
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expr = build_parenthesization(s, 0, len(p) - 2, names)
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print(m[0][len(p) - 2])
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print(expr)
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29
algorithms/labs/lab6/code/3.py
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algorithms/labs/lab6/code/3.py
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def longest_increasing_run(a):
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if not a:
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return 0, -1, -1
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best_len = 1
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best_l = 0
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best_r = 0
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cur_len = 1
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cur_l = 0
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for i in range(1, len(a)):
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if a[i] > a[i - 1]:
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cur_len += 1
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else:
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if cur_len > best_len:
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best_len = cur_len
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best_l = cur_l
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best_r = i - 1
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cur_len = 1
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cur_l = i
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if cur_len > best_len:
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best_len = cur_len
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best_l = cur_l
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best_r = len(a) - 1
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return best_len, best_l, best_r
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if __name__ == "__main__":
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a = [1, 2, 3, -1, 0, 1, 1, 2, 3, 4, -5]
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length, l, r = longest_increasing_run(a)
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print(length, l, r)
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algorithms/labs/lab6/in/task.pdf
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algorithms/labs/lab6/in/task.pdf
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algorithms/labs/lab6/in/theory.pdf
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algorithms/labs/lab6/in/theory.pdf
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1
algorithms/labs/lab6/leetcode/1/link.txt
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algorithms/labs/lab6/leetcode/1/link.txt
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https://leetcode.com/problems/regular-expression-matching/submissions/1769086671/?envType=problem-list-v2&envId=dynamic-programming
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14
algorithms/labs/lab6/leetcode/1/solution.py
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algorithms/labs/lab6/leetcode/1/solution.py
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class Solution:
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def isMatch(self, s: str, p: str) -> bool:
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from functools import lru_cache
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@lru_cache(None)
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def dp(i: int, j: int) -> bool:
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if j == len(p):
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return i == len(s)
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first = i < len(s) and (p[j] == s[i] or p[j] == ".")
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if j + 1 < len(p) and p[j + 1] == "*":
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return dp(i, j + 2) or (first and dp(i + 1, j))
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return first and dp(i + 1, j + 1)
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return dp(0, 0)
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1
algorithms/labs/lab6/leetcode/2/link.txt
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1
algorithms/labs/lab6/leetcode/2/link.txt
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https://leetcode.com/problems/longest-valid-parentheses/submissions/1769090768/?envType=problem-list-v2&envId=dynamic-programming
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15
algorithms/labs/lab6/leetcode/2/solution.py
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algorithms/labs/lab6/leetcode/2/solution.py
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class Solution:
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def longestValidParentheses(self, s: str) -> int:
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n = len(s)
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dp = [0] * n
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best = 0
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for i in range(1, n):
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if s[i] == ")":
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if s[i - 1] == "(":
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dp[i] = (dp[i - 2] if i >= 2 else 0) + 2
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elif i - dp[i - 1] - 1 >= 0 and s[i - dp[i - 1] - 1] == "(":
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dp[i] = dp[i - 1] + 2
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if i - dp[i - 1] - 2 >= 0:
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dp[i] += dp[i - dp[i - 1] - 2]
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best = max(best, dp[i])
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return best
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1
algorithms/labs/lab6/leetcode/3/link.txt
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1
algorithms/labs/lab6/leetcode/3/link.txt
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https://leetcode.com/problems/trapping-rain-water/?envType=problem-list-v2&envId=dynamic-programming
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20
algorithms/labs/lab6/leetcode/3/solution.py
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algorithms/labs/lab6/leetcode/3/solution.py
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from typing import List
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class Solution:
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def trap(self, height: List[int]) -> int:
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n = len(height)
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if n == 0:
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return 0
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left = [0] * n
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right = [0] * n
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left[0] = height[0]
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for i in range(1, n):
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left[i] = max(left[i - 1], height[i])
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right[-1] = height[-1]
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for i in range(n - 2, -1, -1):
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right[i] = max(right[i + 1], height[i])
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ans = 0
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for i in range(n):
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ans += min(left[i], right[i]) - height[i]
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return ans
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algorithms/labs/lab6/out/report.docx
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algorithms/labs/lab6/out/report.docx
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algorithms/labs/lab6/out/report.pdf
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algorithms/labs/lab6/out/report.pdf
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