Python number of rng seeds

In the docs (python 3.5) for initializing a random number from a seed:

random.seed(a=None, version=2)

Initialize the random number generator.

If a is omitted or None, the current system time is used. If randomness sources are provided by the operating system, they are used instead of the system time (see the os.urandom() function for details on availability).

If a is an int, it is used directly.

With version 2 (the default), a str, bytes, or bytearray object gets converted to an int and all of its bits are used. With version 1, the hash() of a is used instead.

It does not make it clear how many seeds there are. An int has normally only 4 billion distinct values, but pythons include arbitrary precision:

x = 1
type(x) # <class 'int'>
y = 123456789123456789123456789123456789123456789123456789123456789123456789
type(y) # <class 'int'>
z = x+y
z-y # 1 (no rounding error for a 71 digit number)

They say all of its bits are used but that could mean that the bits are used to make a digest that is a normal 32 bit int. Why does this matter? I need a make random patterns from seeds. In turn, I need to makes random sequences of patterns (the sequence in turn has a seed). A stream of random number generators will be subject to a "birthday attack" in which after a 100 thousand or so there is almost certainly going to be a duplicate if it's only 32 bits. Although this is not for cryptography, it's still undesirable.