job_application_code

flattened_array.py

L = [[1,2,[3]],4]
#test_list = [1, 2, 3,[[4]],[[[5]]],[6],[[7]]]
model = 9
empty = []

def get_numbers(mod,L):
	global empty
	#For each item in the list
	for item in L:
		#If the type of the model is the same as the item:
		if type(mod) == type(item):
			#Append the item to an empty list.
			[empty.append(item)]
		#Otherwise, if the type of the model is not the same as the type of the item:
		elif type(mod) != type(item):
			#Run this function against the item.
			get_numbers(mod,item)
			print('box')

get_numbers(model,L)
print(empty)
    
# This algorithm was modeled using the diagram below. "n" is a number and the boxes model the list.
##########################
#  #################     #  
#  #       ######  #     #
#  #  nn   # n  #  #  n  #
#  #       ######  #     #
#  ##################    #
##########################