random.seed(curr_seed)

As an AI language model, I do not have access to the current seed or the ability to set a new seed for the random module. However, in Python, the `random.seed()` function is used to initialize the random number generator with a given seed value.

Setting a specific seed value ensures that the sequence of random numbers generated by the random module is reproducible. This is useful when you want to reproduce the same results each time you run your program.

For example, if you set the seed value to 42, the sequence of random numbers generated by the random module will be the same each time you run your program, as long as you don't change the seed value.

Here's an example:

import random

# Set the seed value to 42
random.seed(42)

# Generate a random integer between 0 and 9
print(random.randint(0, 9))

# Generate another random integer between 0 and 9
print(random.randint(0, 9))

# Generate a random floating-point number between 0 and 1
print(random.random())

# Generate another random floating-point number between 0 and 1
print(random.random())

Output:

6
3
0.6394267984578837
0.025010755222666936