Can a function with multiple input parameters use the Python multiprocessing pool, but with only a single iterable?

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Yes, a function with multiple input parameters can use the Python multiprocessing pool with only a single iterable.

In this case, the iterable would contain tuples of the input parameters for each function call. For example, suppose we have a function add that takes two arguments x and y and returns their sum:

def add(x, y):
    return x + y

We can use the multiprocessing pool with a single iterable as follows:

import multiprocessing

# create a list of tuples of input parameters
inputs = [(1, 2), (3, 4), (5, 6)]

# create a multiprocessing pool with 2 processes
pool = multiprocessing.Pool(2)

# apply the function to the iterable of input parameters
results = pool.starmap(add, inputs)

# print the results
print(results) # Output: [3, 7, 11]

In this example, we create a list of tuples inputs that contains the input parameters for each function call. We then create a multiprocessing pool with 2 processes and use the starmap method to apply the add function to the iterable inputs. The starmap method will automatically unpack each tuple and pass its elements as separate arguments to the add function. Finally, we print the results of the function calls.