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authorgramanas <anastasis.gramm2@gmail.com>2020-10-21 17:50:32 +0300
committergramanas <anastasis.gramm2@gmail.com>2020-10-21 17:50:32 +0300
commitf538e38f9499bcc93bc26a690ef1b8f1adfd811b (patch)
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parent26ae760f5e1ab04ea855bc17bcd697cc786ce58a (diff)
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3d challenge
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+#!/usr/bin/python2
+
+# Ion Flux Relabeling
+# ===================
+
+# Oh no! Commander Lambda's latest experiment to improve the efficiency of her
+# LAMBCHOP doomsday device has backfired spectacularly. She had been improving
+# the structure of the ion flux converter tree, but something went terribly
+# wrong and the flux chains exploded. Some of the ion flux converters survived
+# the explosion intact, but others had their position labels blasted off. She's
+# having her henchmen rebuild the ion flux converter tree by hand, but you
+# think you can do it much more quickly - quickly enough, perhaps, to earn a
+# promotion!
+
+# Flux chains require perfect binary trees, so Lambda's design arranged the ion
+# flux converters to form one. To label them, she performed a post-order
+# traversal of the tree of converters and labeled each converter with the order
+# of that converter in the traversal, starting at 1. For example, a tree of 7
+# converters would look like the following:
+
+# 7
+# 3 6
+# 1 2 4 5
+
+# Write a function solution(h, q) - where h is the height of the perfect tree
+# of converters and q is a list of positive integers representing different
+# flux converters - which returns a list of integers p where each element in p
+# is the label of the converter that sits on top of the respective converter in
+# q, or -1 if there is no such converter. For example, solution(3, [1, 4, 7])
+# would return the converters above the converters at indexes 1, 4, and 7 in a
+# perfect binary tree of height 3, which is [3, 6, -1].
+
+# The domain of the integer h is 1 <= h <= 30, where h = 1 represents a perfect
+# binary tree containing only the root, h = 2 represents a perfect binary tree
+# with the root and two leaf nodes, h = 3 represents a perfect binary tree with
+# the root, two internal nodes and four leaf nodes (like the example above),
+# and so forth. The lists q and p contain at least one but no more than 10000
+# distinct integers, all of which will be between 1 and 2^h-1, inclusive.
+
+
+def findParent(h, n):
+ start = 1
+ end = 2**h - 1
+
+ if end == n:
+ return -1
+
+ while(True):
+ end = end - 1
+ mid = start + (end - start)//2
+ if mid == n or end == n:
+ return end + 1
+ elif n < mid:
+ end = mid
+ else:
+ start = mid
+
+def solution(h, q):
+ p = []
+ for i in q:
+ p.append(findParent(h, i))
+
+ return p
+
+print(solution(5, [19, 14, 28])) # 21,15,29
+print(solution(3, [7, 3, 5, 1])) # -1,7,6,3