InternBootcamp/internbootcamp/bootcamp/afoxandnames/afoxandnames.py
2025-05-23 15:27:15 +08:00

313 lines
9.1 KiB
Python
Executable file
Raw Blame History

This file contains ambiguous Unicode characters

This file contains Unicode characters that might be confused with other characters. If you think that this is intentional, you can safely ignore this warning. Use the Escape button to reveal them.

"""#
### 谜题描述
Fox Ciel is going to publish a paper on FOCS (Foxes Operated Computer Systems, pronounce: \"Fox\"). She heard a rumor: the authors list on the paper is always sorted in the lexicographical order.
After checking some examples, she found out that sometimes it wasn't true. On some papers authors' names weren't sorted in lexicographical order in normal sense. But it was always true that after some modification of the order of letters in alphabet, the order of authors becomes lexicographical!
She wants to know, if there exists an order of letters in Latin alphabet such that the names on the paper she is submitting are following in the lexicographical order. If so, you should find out any such order.
Lexicographical order is defined in following way. When we compare s and t, first we find the leftmost position with differing characters: si ≠ ti. If there is no such position (i. e. s is a prefix of t or vice versa) the shortest string is less. Otherwise, we compare characters si and ti according to their order in alphabet.
Input
The first line contains an integer n (1 ≤ n ≤ 100): number of names.
Each of the following n lines contain one string namei (1 ≤ |namei| ≤ 100), the i-th name. Each name contains only lowercase Latin letters. All names are different.
Output
If there exists such order of letters that the given names are sorted lexicographically, output any such order as a permutation of characters 'a''z' (i. e. first output the first letter of the modified alphabet, then the second, and so on).
Otherwise output a single word \"Impossible\" (without quotes).
Examples
Input
3
rivest
shamir
adleman
Output
bcdefghijklmnopqrsatuvwxyz
Input
10
tourist
petr
wjmzbmr
yeputons
vepifanov
scottwu
oooooooooooooooo
subscriber
rowdark
tankengineer
Output
Impossible
Input
10
petr
egor
endagorion
feferivan
ilovetanyaromanova
kostka
dmitriyh
maratsnowbear
bredorjaguarturnik
cgyforever
Output
aghjlnopefikdmbcqrstuvwxyz
Input
7
car
care
careful
carefully
becarefuldontforgetsomething
otherwiseyouwillbehacked
goodluck
Output
acbdefhijklmnogpqrstuvwxyz
Here is a reference code to solve this task. You can use this to help you genereate cases or validate the solution.
```python
l=int(raw_input())
a=list()
for j in range(l):
a.append(raw_input())
def topologicalSortUtil(v,visited,stack,imp,exp):
exp[ord(v)-ord('a')] = True
visited[v] = True
if v in graph.keys():
for i in graph[v]:
if exp[ord(i)-ord('a')] == True and visited[i] == False:
pass
elif visited[i] == False:
topologicalSortUtil(i,visited,stack,imp,exp)
if imp[0] == True:
break
else:
imp[0] = True
return
visited[v] = False
stack.insert(0,v)
def TOPSORT(graph):
alpha_bets = list(map(chr, range(97, 123)))
visited = { i : False for i in alpha_bets }
all_explored = [False for i in range(0,26)]
stack =[]
impossible = list()
impossible.append(False)
for i in reversed(alpha_bets):
if all_explored[ord(i)-ord('a')] == False :
topologicalSortUtil(i,visited,stack,impossible,all_explored)
if impossible[0] == True:
return -1
return stack
graph = dict()
np = False
for i in range(0,l-1):
first = a[i]
second = a[i+1]
k=0
while k<min(len(first),len(second)) and first[k] == second[k]:
k=k+1
if k == len(first):
continue
elif k == len(second):
np = True
break
if first[k] in graph.keys() and second[k] not in graph[first[k]] :
graph[first[k]].append(second[k])
else:
if first[k] not in graph.keys():
graph[first[k]] = list()
graph[first[k]].append(second[k])
order_req = TOPSORT(graph)
if order_req == -1 or np:
print \"Impossible\"
else:
print ''.join(str(i) for i in order_req)
```
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。
"""
from bootcamp import Basebootcamp
from bootcamp import Basebootcamp
import random
import json
class Afoxandnamesbootcamp(Basebootcamp):
def __init__(self, **params):
self.n = params.get('n', 3) # Number of names
self.names = params.get('names', self.generate_random_names(self.n))
def generate_random_names(self, n=3):
"""Generate random names for testing"""
letters = 'abcdefghijklmnopqrstuvwxyz'
names = []
for _ in range(n):
length = random.randint(3, 6)
name = ''.join(random.choice(letters) for _ in range(length))
names.append(name)
return names
def case_generator(self):
"""Generate a puzzle instance with random names"""
# Generate random names and ensure they can form a valid order
names = []
while True:
names = self.generate_random_names(self.n)
# Check if these names can form a valid order
valid = True
for i in range(len(names) - 1):
if len(names[i]) == len(names[i+1]):
if names[i] > names[i+1]:
valid = False
break
else:
if not (names[i] < names[i+1]):
valid = False
break
if valid:
break
# Shuffle the names to create a puzzle instance
shuffled_names = names.copy()
random.shuffle(shuffled_names)
return {
'n': self.n,
'names': shuffled_names
}
@staticmethod
def prompt_func(question_case):
names = question_case['names']
names_str = ', '.join(names)
prompt = (
"你是一名科学家Fox Ciel正在准备提交一篇论文。你需要确保作者列表按某种字母顺序排列。给你一组名字"
f"{names_str},判断是否存在一种字母顺序,使得这些名字按字典序排列。如果存在,输出该顺序;否则,输出'Impossible'"
"注意:名字的比较规则是逐字符比较,遇到第一个不同的字符按字母顺序决定大小。如果一个名字是另一个的前缀,则较短的名字排在前面。"
"请将答案放在[answer]和[/answer]之间。"
)
return prompt
@staticmethod
def extract_output(output):
parts = output.split('[answer]')
if len(parts) < 2:
return None
last_answer = parts[-1].split('[/answer]')[0].strip()
return last_answer
@classmethod
def _verify_correction(cls, solution, identity):
if solution == 'Impossible':
names = identity['names']
graph = {}
for i in range(len(names) - 1):
first = names[i]
second = names[i+1]
k = 0
while k < min(len(first), len(second)) and first[k] == second[k]:
k += 1
if k == len(first):
continue
elif k == len(second):
return False # Cannot be ordered
if first[k] not in graph:
graph[first[k]] = []
if second[k] not in graph[first[k]]:
graph[first[k]].append(second[k])
try:
order = cls.topological_sort(graph)
if order == -1:
return True # Impossible is correct
else:
return False # Solution is not Impossible
except:
return False
else:
order = solution
if len(order) != 26 or len(set(order)) != 26:
return False
order_dict = {char: idx for idx, char in enumerate(order)}
for i in range(len(identity['names']) - 1):
first = identity['names'][i]
second = identity['names'][i+1]
if not cls.is_ordered(first, second, order_dict):
return False
return True
@staticmethod
def topological_sort(graph):
visited = set()
stack = []
has_cycle = [False]
def dfs(node):
visited.add(node)
if node in graph:
for neighbor in graph[node]:
if neighbor in visited:
has_cycle[0] = True
return
if neighbor not in visited:
dfs(neighbor)
stack.append(node)
for char in 'abcdefghijklmnopqrstuvwxyz':
if char not in visited:
dfs(char)
if has_cycle[0]:
return -1
return ''.join(stack[::-1])
@staticmethod
def is_ordered(a, b, order_dict):
min_len = min(len(a), len(b))
for i in range(min_len):
if a[i] != b[i]:
return order_dict[a[i]] < order_dict[b[i]]
return len(a) <= len(b)