Need help creating a function (minimize)in python

Python
1

Code a function called “minimize”

ACCEPT one input: a function.

function will take a single argument, a number between 0 and 50 exclusive
and then, the function will return a numpy array of 1000 numbers.

RETURN the value that makes the mean of the array returned by ‘passed_func’ as close to 0 as possible

Note, you will almost certainly NOT be able to find the number that makes the mean exactly 0

example
def minimize( passed_func):
“”"
Find the numeric value that makes the mean of the
output array returned from ‘passed_func’ as close to 0 as possible.

Positional Argument:
    passed_func -- a function that takes a single number (between 0 and 50 exclusive)
        as input, and returns a list of 1000 floats.
    
Example:
    passed_func = hidden
    min_hidden = minimize(passed_func)
    print(round(min_hidden,4))
    #--> 43.1204 (answers will vary, must be close to 43.123985172351)### GRADED

Code a function called “minimize”

ACCEPT one input: a function.

That function will be similar to hidden created above and available for your exploration.

Like ‘hidden’, the passed function will take a single argument, a number between 0 and 50 exclusive

and then, the function will return a numpy array of 1000 numbers.

RETURN the value that makes the mean of the array returned by ‘passed_func’ as close to 0 as possible

Note, you will almost certainly NOT be able to find the number that makes the mean exactly 0

def minimize( passed_func):
“”"
Find the numeric value that makes the mean of the
output array returned from ‘passed_func’ as close to 0 as possible.

Positional Argument:
    passed_func -- a function that takes a single number (between 0 and 50 exclusive)
        as input, and returns a list of 1000 floats.
    
Example:
    passed_func = hidden
    min_hidden = minimize(passed_func)
    print(round(min_hidden,4))
    #--> 43.1204 (answers will vary, must be close to 43.123985172351)
2

Perhaps you could consider using the Golden Section search technique for minimizing a function.