''' Demonstrate functions can be pass as arguments
'''

import functions_are_first_class

values = [ 3, 1, 4, 1, 5, 9, 2, 6, 5, 3, 5 ]

# The analyze function takes in two parameters (a list of values and a function to call on
# that list).
# In a1, we pass in the values list on line 7 and the len function identifier (len)
# as arguments to the function analyze to call len(values) in the function analyze.

print('id(len)=', id(len)) # The id function will tell you where in memory the thing in parentheses is.
# We have used id() on variables but keep in mind that len can be used as a variable and is stored
# in memory somewhere so we can use it. Functions also take up memory since functions
# are identified using the names of the functions!

# def function_name( parameters ):  # function_name as a variable is stored in memory

a1 = functions_are_first_class.analyze( values, len )

print( "len(", values, "):", a1 )
print()
# In a2, we pass in the values list on line 7 and the max function identifier (max)
# as arguments to the function analyze to call max(values) in the function analyze.
a2 = functions_are_first_class.analyze( values, max )

print( "max(", values, "):", a2 )
print()

# In a3, we pass in the values list on line 7 and the min function identifier (min)
# as arguments to the function analyze to call min(values) in the function analyze.
a3 = functions_are_first_class.analyze( values, min )

print( "max(", values, "):", a3 )
print()
# In a4, we pass in the values list on line 7 and the sum function identifier (sum)
# as arguments to the function analyze to call sum(values) in the function analyze.
a4 = functions_are_first_class.analyze( values, sum )

print( "sum(", values, "):", a4 )
print()