bucket_sort has no dedicated error handling when the number of buckets in inputted as a float instead of an integer.

[ThayerMarvin]

Feature description

Issue:

The bucket_sort function accepts an integer passed as an argument

def bucket_sort(my_list: list, bucket_count: int = 10)

When passing a float it causes an unhandled TypeError

Test used:

>>> data = [12, 7 , 22, 11, 4]
>>> bucket_sort(data, 2.5) == sorted(data)
True

TypeError: 'float' object cannot be interpreted as an integer

Proposed solution:

Either return an empty list for consistency to match when a bucket count of less than 0 is used

if len(my_list) == 0 or bucket_count <= 0 or not isinstance(bucket_count, int):
return [ ]

Or raise a clearer TypeError

if not isinstance(bucket_count, int):
raise TypeError("bucket_count must be an integer")

I would like to implement either solution.