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"""#
### 谜题描述
You are given an integer m.
Let M = 2m - 1.
You are also given a set of n integers denoted as the set T. The integers will be provided in base 2 as n binary strings of length m.
A set of integers S is called \"good\" if the following hold.
1. If <image>, then <image>.
2. If <image>, then <image>
3. <image>
4. All elements of S are less than or equal to M.
Here, <image> and <image> refer to the bitwise XOR and bitwise AND operators, respectively.
Count the number of good sets S, modulo 109 + 7.
Input
The first line will contain two integers m and n (1 m 1 000, 1 n min(2m, 50)).
The next n lines will contain the elements of T. Each line will contain exactly m zeros and ones. Elements of T will be distinct.
Output
Print a single integer, the number of good sets modulo 109 + 7.
Examples
Input
5 3
11010
00101
11000
Output
4
Input
30 2
010101010101010010101010101010
110110110110110011011011011011
Output
860616440
Note
An example of a valid set S is {00000, 00101, 00010, 00111, 11000, 11010, 11101, 11111}.
Here is a reference code to solve this task. You can use this to help you genereate cases or validate the solution.
```python
#Nice now I'm sumproduct of gps times bell function
mod=10**9+7
def Blist(m):
A = [0 for i in range(0, m)]
A[0] = 1
R = [1, 1]
for n in range(1, m):
A[n] = A[0]
for k in range(n, 0, -1):
A[k-1] += A[k]
A[k-1]%=mod
R.append(A[0])
return R
m,n=[int(k) for k in raw_input().split(\" \")]
t=[]
for i in range(n):
t+=[[k for k in raw_input()]]
ti=[int(\"\".join([t[i][k] for i in range(n)]),2) for k in range(m)]
left=set(range(m))
potes=[]
gps=[]
mxl=0
for k in range(m):
if k in left:
totej=set()
for j in left:
if ti[k]^ti[j]==0:
totej.add(j)
left=left-totej
gps+=[len(totej)]
mxl=max(mxl,len(totej))
bl=Blist(m)
res=1
for k in gps:
res*=bl[k]
res%=mod
print res
```
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
import random
import re
mod = 10**9 + 7
class Enewyearandentityenumerationbootcamp(Basebootcamp):
def __init__(self, **params):
self.m_min = params.get('m_min', 1)
self.m_max = params.get('m_max', 5)
@staticmethod
def _generate_binary_strings(m, n):
binaries = set()
while len(binaries) < n:
num = random.randint(0, (1 << m) - 1)
binary = bin(num)[2:].zfill(m)
binaries.add(binary)
return list(binaries)
@staticmethod
def _Blist(m_val):
A = [0] * m_val
A[0] = 1
R = [1, 1]
for n in range(1, m_val):
A[n] = A[0]
for k in range(n, 0, -1):
A[k-1] += A[k]
A[k-1] %= mod
R.append(A[0])
return R
@staticmethod
def _compute_answer(m, T):
n = len(T)
t = [list(s) for s in T]
ti = [int(''.join(row[k] for row in t), 2) for k in range(m)]
left = set(range(m))
gps = []
while left:
k = next(iter(left))
current = ti[k]
group = {j for j in left if ti[j] == current}
left -= group
gps.append(len(group))
bell_numbers = Enewyearandentityenumerationbootcamp._Blist(m)
res = 1
for size in gps:
res = res * bell_numbers[size] % mod
return res
def case_generator(self):
m = random.randint(self.m_min, self.m_max)
max_n = min(2**m, 50)
n = random.randint(1, max_n)
T = self._generate_binary_strings(m, n)
correct_answer = self._compute_answer(m, T)
return {
'm': m,
'n': n,
'T': T,
'correct_answer': correct_answer
}
@staticmethod
def prompt_func(question_case):
m = question_case['m']
n = question_case['n']
T = question_case['T']
T_str = '\n'.join(T)
return f"""You are given an integer m = {m} and a set T of {n} distinct binary strings of length {m}. Determine the number of good sets S modulo 10^9 + 7.
A good set S must satisfy:
1. For any x, y in S, x ^ y is in S.
2. For any x, y in S, x & y is in S.
3. All elements of T are in S.
4. Every element in S 2^{m} - 1.
Input Format:
{m} {n}
{T_str}
Output Format:
A single integer, the count modulo 10^9 + 7.
Example:
Input:
5 3
11010
00101
11000
Output:
4
Place your answer within [answer] and [/answer] tags, e.g., [answer]4[/answer]."""
@staticmethod
def extract_output(output):
matches = re.findall(r'\[answer\](.*?)\[/answer\]', output, re.DOTALL)
if not matches:
return None
try:
return int(matches[-1].strip())
except:
return None
@classmethod
def _verify_correction(cls, solution, identity):
return solution == identity.get('correct_answer', None)