List & tuple exercises

Copy/Paste the code below into 2 files and call it list1.py & list2.py

Do the exercises and run it. When the tests all pass, you have solved the exercise.

All exercises should be done with List Comprehensions whenever possible.

List1.py

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# Copyright 2010 Google Inc.
# Licensed under the Apache License, Version 2.0
# http://www.apache.org/licenses/LICENSE-2.0

# Basic list & tuples exercises
# Fill in the code for the functions below. main() is already set up
# to call the functions with a few different inputs,
# printing 'OK' when each function is correct.
# The starter code for each function includes a 'return'
# which is just a placeholder for your code.
# It's ok if you do not complete all the functions, and there
# are some additional functions to try in list2.py.

# A. match_ends
# Given a list of strings, return the count of the number of
# strings where the string length is 2 or more and the first
# and last chars of the string are the same.
# Note: python does not have a ++ operator, but += works.
def match_ends(words):
    # +++your code here+++
    return 


# B. front_x
# Given a list of strings, return a list with the strings
# in sorted order, except group all the strings that begin with 'x' first.
# e.g. ['mix', 'xyz', 'apple', 'xanadu', 'aardvark'] yields
# ['xanadu', 'xyz', 'aardvark', 'apple', 'mix']
# Hint: this can be done by making 2 lists and sorting each of them
# before combining them.
def front_x(words):
    # +++your code here+++
    return 



# C. sort_last
# Given a list of non-empty tuples, return a list sorted in increasing
# order by the last element in each tuple.
# e.g. [(1, 7), (1, 3), (3, 4, 5), (2, 2)] yields
# [(2, 2), (1, 3), (3, 4, 5), (1, 7)]
# Hint: use a custom key= function to extract the last element form each tuple.



def sort_last(tuples):
    # +++your code here+++
    return 


# Simple provided test() function used in main() to print
# what each function returns vs. what it's supposed to return.
def test(got, expected):
  if got == expected:
    prefix = ' OK '
  else:
    prefix = '  X '
  print (f'{prefix} got: {got} expected: {expected}')


# Calls the above functions with interesting inputs.
def main():
  print ('match_ends')
  test(match_ends(['aba', 'xyz', 'aa', 'x', 'bbb']), 3)
  test(match_ends(['', 'x', 'xy', 'xyx', 'xx']), 2)
  test(match_ends(['aaa', 'be', 'abc', 'hello']), 1)

  print()
  print ('front_x')
  test(front_x(['bbb', 'ccc', 'axx', 'xzz', 'xaa']),
       ['xaa', 'xzz', 'axx', 'bbb', 'ccc'])
  test(front_x(['ccc', 'bbb', 'aaa', 'xcc', 'xaa']),
       ['xaa', 'xcc', 'aaa', 'bbb', 'ccc'])
  test(front_x(['mix', 'xyz', 'apple', 'xanadu', 'aardvark']),
       ['xanadu', 'xyz', 'aardvark', 'apple', 'mix'])

       
  print()
  print ('sort_last')
  test(sort_last([(1, 3), (3, 2), (2, 1)]),
       [(2, 1), (3, 2), (1, 3)])
  test(sort_last([(2, 3), (1, 2), (3, 1)]),
       [(3, 1), (1, 2), (2, 3)])
  test(sort_last([(1, 7), (1, 3), (3, 4, 5), (2, 2)]),
       [(2, 2), (1, 3), (3, 4, 5), (1, 7)])


main()

List2.py

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# Copyright 2010 Google Inc.
# Licensed under the Apache License, Version 2.0
# http://www.apache.org/licenses/LICENSE-2.0

# Additional basic list exercises

# D. Given a list of numbers, return a tuple where
# all adjacent == elements have been reduced to a single element,
# so [1, 2, 2, 3] returns (1, 2, 3). You may create a new list or
# modify the passed in list.


def remove_adjacent(nums):
    # +++your code here+++
    return
    

# E. Given two lists sorted in increasing order, create and return a merged
# list of all the elements in sorted order. You may modify the passed in lists.
# Ideally, the solution should work in "linear" time, making a single
# pass of both lists.
def linear_merge(list1, list2):
    # +++your code here+++
   return

# Note: the solution above is kind of cute, but unforunately list.pop(0)
# is not constant time with the standard python list implementation, so
# the above is not strictly linear time.
# An alternate approach uses pop(-1) to remove the endmost elements
# from each list, building a solution list which is backwards.
# Then use reversed() to put the result back in the correct order. That
# solution works in linear time, but is more ugly.


# Simple provided test() function used in main() to print
# what each function returns vs. what it's supposed to return.
def test(got, expected):
    if got == expected:
        prefix = ' OK '
    else:
        prefix = '  X '
    print (f'{prefix} got: {got} expected: {expected}')


# Calls the above functions with interesting inputs.
def main():
    print()
    print('remove_adjacent')
    test(remove_adjacent([1, 2, 2, 3]), (1, 2, 3))
    test(remove_adjacent([2, 2, 3, 3, 3]), (2, 3))
    test(remove_adjacent([]), ())

    print()
    print('linear_merge')
    test(linear_merge(['aa', 'xx', 'zz'], ['bb', 'cc']),
         ['aa', 'bb', 'cc', 'xx', 'zz'])
    test(linear_merge(['aa', 'xx'], ['bb', 'cc', 'zz']),
         ['aa', 'bb', 'cc', 'xx', 'zz'])
    test(linear_merge(['aa', 'aa'], ['aa', 'bb', 'bb']),
         ['aa', 'aa', 'aa', 'bb', 'bb'])


main()