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internbootcamp/bootcamp/dminimumdiametertree/dminimumdiametertree.py
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internbootcamp/bootcamp/dminimumdiametertree/dminimumdiametertree.py
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"""#
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### 谜题描述
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You are given a tree (an undirected connected graph without cycles) and an integer s.
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Vanya wants to put weights on all edges of the tree so that all weights are non-negative real numbers and their sum is s. At the same time, he wants to make the diameter of the tree as small as possible.
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Let's define the diameter of a weighed tree as the maximum sum of the weights of the edges lying on the path between two some vertices of the tree. In other words, the diameter of a weighed tree is the length of the longest simple path in the tree, where length of a path is equal to the sum of weights over all edges in the path.
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Find the minimum possible diameter that Vanya can get.
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Input
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The first line contains two integer numbers n and s (2 ≤ n ≤ 10^5, 1 ≤ s ≤ 10^9) — the number of vertices in the tree and the sum of edge weights.
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Each of the following n−1 lines contains two space-separated integer numbers a_i and b_i (1 ≤ a_i, b_i ≤ n, a_i ≠ b_i) — the indexes of vertices connected by an edge. The edges are undirected.
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It is guaranteed that the given edges form a tree.
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Output
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Print the minimum diameter of the tree that Vanya can get by placing some non-negative real weights on its edges with the sum equal to s.
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Your answer will be considered correct if its absolute or relative error does not exceed 10^{-6}.
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Formally, let your answer be a, and the jury's answer be b. Your answer is considered correct if \frac {|a-b|} {max(1, b)} ≤ 10^{-6}.
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Examples
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Input
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4 3
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1 2
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1 3
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1 4
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Output
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2.000000000000000000
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Input
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6 1
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2 1
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2 3
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2 5
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5 4
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5 6
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Output
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0.500000000000000000
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Input
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5 5
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1 2
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2 3
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3 4
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3 5
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Output
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3.333333333333333333
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Note
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In the first example it is necessary to put weights like this:
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<image>
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It is easy to see that the diameter of this tree is 2. It can be proved that it is the minimum possible diameter.
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In the second example it is necessary to put weights like this:
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<image>
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Here is a reference code to solve this task. You can use this to help you genereate cases or validate the solution.
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```python
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from __future__ import division
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from sys import stdin
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rints = lambda: [int(x) for x in stdin.readline().split()]
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n, s = rints()
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deg = [0] * (n + 1)
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for i in range(n - 1):
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u, v = rints()
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deg[u] += 1
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deg[v] += 1
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print((2 * s) / len(list(filter(lambda x: x == 1, deg))))
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```
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请完成上述谜题的训练场环境类实现,包括所有必要的方法。
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"""
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from bootcamp import Basebootcamp
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import random
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import re
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from collections import defaultdict
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from bootcamp import Basebootcamp
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class Dminimumdiametertreebootcamp(Basebootcamp):
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def __init__(self, min_n=2, max_n=10, min_s=1, max_s=10**9):
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self.min_n = min_n
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self.max_n = max_n
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self.min_s = min_s
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self.max_s = max_s
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def case_generator(self):
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n = random.randint(self.min_n, self.max_n)
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s = random.randint(self.min_s, self.max_s)
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edges = self._generate_tree(n)
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L = self._count_leaves(edges, n)
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correct_answer = (2 * s) / L
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return {
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'n': n,
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's': s,
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'edges': edges,
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'correct_answer': correct_answer
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}
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def _generate_tree(self, n):
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"""Generates a random tree using BFS-based approach for better diversity"""
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if n == 1:
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return []
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nodes = list(range(1, n+1))
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random.shuffle(nodes)
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root = nodes[0]
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parent = {}
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q = [root]
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for node in nodes[1:]:
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u = random.choice(q)
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parent[node] = u
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q.append(node)
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if random.random() < 0.3: # Control branching factor
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q.remove(u)
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edges = []
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for v, u in parent.items():
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edges.append((u, v))
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return edges
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def _count_leaves(self, edges, n):
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degree = defaultdict(int)
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for u, v in edges:
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degree[u] += 1
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degree[v] += 1
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return sum(1 for d in degree.values() if d == 1)
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@staticmethod
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def prompt_func(question_case):
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input_lines = [f"{question_case['n']} {question_case['s']}"]
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for u, v in sorted(question_case['edges']):
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input_lines.append(f"{u} {v}")
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input_str = '\n'.join(input_lines)
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prompt = f"""Given a tree with {question_case['n']} nodes and total edge weight sum {question_case['s']}, find the minimal possible diameter.
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Use [answer]result[/answer] with 12 decimal places.
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Input:
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{input_str}"""
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return prompt
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@staticmethod
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def extract_output(output):
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matches = re.findall(r'\[answer\](.*?)\[/answer\]', output, re.DOTALL)
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return matches[-1].strip() if matches else None
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@classmethod
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def _verify_correction(cls, solution, identity):
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try:
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user_val = float(solution)
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correct = identity['correct_answer']
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abs_err = abs(user_val - correct)
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return abs_err <= 1e-6 or abs_err / max(1.0, correct) <= 1e-6
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except (ValueError, TypeError, KeyError):
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return False
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