How to get the seed according to the MT19937 array in python's random module?

I use the random.seed() to set a seed for random module, for example:

>>> import random
>>> random.seed(123456)

Then i use random.getstate() to get the MT19937 array, it should be 624 32-bit integers:

>>> MT = random.getstate()[1][:-1]
>>> len(MT)
624

But when i check the value of these 624 numbers, i have no idea what is the relationship between these numbers and the seed, at first i thought these 624 numbers was just calculated using the MT19937 way, but it's not so:

>>> import random
>>> 
>>> class MT19937RNG:
...     def __init__(self, seed):
...         self.MT = [0] * 624
...         self.index = 0
...         self.MT[0] = seed & 0xffffffff
...         for i in range(1, 623+1):
...             self.MT[i] = ((0x6c078965 * (self.MT[i-1] ^ (self.MT[i-1] >> 30))) + i) & 0xffffffff
...     def generate_numbers(self):
...         for i in range(0, 623+1):
...             y = (self.MT[i] & 0x80000000) + (self.MT[(i+1) % 624] & 0x7fffffff)  
...             self.MT[i] = self.MT[(i + 397) % 624] ^ (y >> 1)
...             if (y % 2) != 0:
...                 self.MT[i] = self.MT[i] ^ (2567483615)
...     def extract_number(self):
...             if self.index == 0:
...                 self.generate_numbers()
...             y = self.MT[self.index]
...             y = y ^ (y >> 11)
...             y = y ^ ((y << 7) & (0x9d2c5680))
...             y = y ^ ((y << 15) & (0xefc60000))
...             y = y ^ (y >> 18)
...             self.index = (self.index + 1) % 624
...             return y
... 
>>> x = MT19937RNG(123456)
>>> random.seed(123456)
>>> 
>>> MT1 = x.MT
>>> MT2 = list(random.getstate()[1][:-1])
>>> 
>>> MT1==MT2
False

So i wonder why the value of MT1 is different from MT2, which means why random.getstate() doesn't using MT19937 to generate its 624 MT numbers, how can we get seed=123456 from MT2?