Deloitte | COGNIZANT | IBM | CAPGEMINI@python_java_Coding · channel · 7 178 subscribers

Postimport heapq

7 August 2024

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Machine Learning coder

import heapq def get_greatest_elements(arr, k): n = len(arr) result = [] min_heap = [] for i in range(n): heapq.heappush(min_heap, arr[i]) if len(min_heap) > k: heapq.heappop(min_heap) if i >= k - 1: result.append(min_heap[0]) return result Get Greatest Elements ✅ #GamesKraft

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Machine Learning coder11:48def answer(arr, i, dp): if i >= len(arr): return 0 if dp[i] != -1: return dp[i] include = arr[i] | answer(arr, i + 1, dp) exclude = answer(arr, i + 1, dp)M

Machine Learning coder11:48from collections import defaultdict def getMaxRacers(speed, k): ans = 0 D = defaultdict(list) for i, e in enumerate(speed): D[e].append(i) for arr in D.values()

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Machine Learning coder11:50def collect_max(mat): n = len(mat) if n == 0: return 0 dp = [[[ -1 for _ in range(2)] for _ in range(n)] for _ in range(n)] dp[0][0][1] = 1 if mat[0][0] == 1 el M

Machine Learning coder11:52def solve(A, N, M, L, x): B = A[:] op = 0 for i in range(N): if B[i] > x: dec = B[i] - x length = min(L, N - i) for j in range(len

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