-
Notifications
You must be signed in to change notification settings - Fork 17
New issue
Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.
By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.
Already on GitHub? Sign in to your account
pull request #5
base: master
Are you sure you want to change the base?
pull request #5
Changes from all commits
File filter
Filter by extension
Conversations
Jump to
Diff view
Diff view
There are no files selected for viewing
Original file line number | Diff line number | Diff line change |
---|---|---|
@@ -0,0 +1,2 @@ | ||
#!/usr/bin/env python | ||
print "this is a python script!" |
Original file line number | Diff line number | Diff line change |
---|---|---|
|
@@ -2,73 +2,107 @@ | |
# Return the number of words in the string s. Words are separated by spaces. | ||
# e.g. num_words("abc def") == 2 | ||
def num_words(s): | ||
return 0 | ||
return len(s.split()) | ||
|
||
# PROB 2 | ||
# Return the sum of all the numbers in lst. If lst is empty, return 0. | ||
def sum_list(lst): | ||
return 0 | ||
sum = 0 | ||
for elt in lst: | ||
sum += elt | ||
return sum | ||
|
||
# PROB 3 | ||
# Return True if x is in lst, otherwise return False. | ||
def appears_in_list(x, lst): | ||
return False | ||
return x in lst | ||
|
||
# PROB 4 | ||
# Return the number of unique strings in lst. | ||
# e.g. num_unique(["a", "b", "a", "c", "a"]) == 3 | ||
def num_unique(lst): | ||
return 0 | ||
seen = set([]) | ||
There was a problem hiding this comment. Choose a reason for hiding this commentThe reason will be displayed to describe this comment to others. Learn more. you can just call |
||
for elt in lst: | ||
seen.add(elt) | ||
return len(seen) | ||
|
||
# PROB 5 | ||
# Return a new list, where the contents of the new list are lst in reverse order. | ||
# e.g. reverse_list([3, 2, 1]) == [1, 2, 3] | ||
def reverse_list(lst): | ||
return [] | ||
return lst[::-1] | ||
There was a problem hiding this comment. Choose a reason for hiding this commentThe reason will be displayed to describe this comment to others. Learn more. there is also a builtin |
||
|
||
# PROB 6 | ||
# Return a new list containing the elements of lst in sorted decreasing order. | ||
# e.g. sort_reverse([5, 7, 6, 8]) == [8, 7, 6, 5] | ||
def sort_reverse(lst): | ||
return [] | ||
return sorted(lst, key=lambda num : -1 * num) | ||
There was a problem hiding this comment. Choose a reason for hiding this commentThe reason will be displayed to describe this comment to others. Learn more. can also call |
||
|
||
# PROB 7 | ||
# Return a new string containing the same contents of s, but with all the | ||
# vowels (upper and lower case) removed. Vowels do not include 'y' | ||
# e.g. remove_vowels("abcdeABCDE") == "bcdBCD" | ||
def remove_vowels(s): | ||
return s | ||
outstr = '' | ||
for character in s: | ||
if not(character.lower() in ['a','e','i','o','u']): | ||
There was a problem hiding this comment. Choose a reason for hiding this commentThe reason will be displayed to describe this comment to others. Learn more. or simply: for character in 'aeiouAEIOU':
... |
||
outstr += character | ||
return outstr | ||
|
||
# PROB 8 | ||
# Return the longest word in the lst. If the lst is empty, return None. | ||
# e.g. longest_word(["a", "aaaaaa", "aaa", "aaaa"]) == "aaaaaa" | ||
def longest_word(lst): | ||
return None | ||
if not lst: | ||
return None | ||
else: | ||
newlst = sorted(lst, key=lambda word : len(word)) | ||
There was a problem hiding this comment. Choose a reason for hiding this commentThe reason will be displayed to describe this comment to others. Learn more. can just do |
||
return newlst[-1] | ||
|
||
# PROB 9 | ||
# Return a dictionary, mapping each word to the number of times the word | ||
# appears in lst. | ||
# e.g. word_frequency(["a", "a", "aaa", "b", "b", "b"]) == {"a": 2, "aaa": 1, "b": 3} | ||
def word_frequency(lst): | ||
return {} | ||
dict = {} | ||
for word in lst: | ||
if word in dict: | ||
dict[word]=dict[word]+1 | ||
There was a problem hiding this comment. Choose a reason for hiding this commentThe reason will be displayed to describe this comment to others. Learn more. FYI python has a += operator |
||
else: | ||
dict[word]=1 | ||
return dict | ||
|
||
# PROB 10 | ||
# Return the tuple (word, count) for the word that appears the most frequently | ||
# in the list, and the number of times the word appears. If the list is empty, return None. | ||
# e.g. most_frequent_word(["a", "a", "aaa", "b", "b", "b"]) == ("b", 3) | ||
def most_frequent_word(lst): | ||
return None | ||
if not lst: | ||
return None | ||
else: | ||
dict = word_frequency(lst) | ||
keys = dict.keys() | ||
sortedkeys = sorted(keys, key=lambda word : dict[word]) | ||
return (sortedkeys[-1], dict[sortedkeys[-1]]) | ||
|
||
# PROB 11 | ||
# Compares the two lists and finds all the positions that are mismatched in the list. | ||
# Assume that len(lst1) == len(lst2). Return a list containing the indices of all the | ||
# mismatched positions in the list. | ||
# e.g. find_mismatch(["a", "b", "c", "d", "e"], ["f", "b", "c", "g", "e"]) == [0, 3] | ||
def find_mismatch(lst1, lst2): | ||
return [] | ||
mismatches = [] | ||
for pos in range(len(lst1)): | ||
if (lst1[pos]!=lst2[pos]): | ||
mismatches.append(pos) | ||
return mismatches | ||
|
||
# PROB 12 | ||
# Returns the list of words that are in word_list but not in vocab_list. | ||
def spell_checker(vocab_list, word_list): | ||
return [] | ||
returnme = [] | ||
for word in word_list: | ||
if not(word in vocab_list): | ||
returnme.append(word) | ||
return returnme | ||
|
Original file line number | Diff line number | Diff line change |
---|---|---|
|
@@ -16,22 +16,26 @@ def load(dictionary_name): | |
Each line in the file contains exactly one word. | ||
""" | ||
# TODO: remove the pass line and write your own code | ||
pass | ||
lines = set([line.strip() for line in open(dictionary_name)]) | ||
There was a problem hiding this comment. Choose a reason for hiding this commentThe reason will be displayed to describe this comment to others. Learn more. nice! python also has set comprehensions: return {line.strip() for line in open(dictionary_name)} |
||
return lines | ||
|
||
def check(dictionary, word): | ||
""" | ||
Returns True if `word` is in the English `dictionary`. | ||
""" | ||
pass | ||
if word in dictionary: | ||
There was a problem hiding this comment. Choose a reason for hiding this commentThe reason will be displayed to describe this comment to others. Learn more. just: |
||
return True | ||
else: | ||
return False | ||
|
||
def size(dictionary): | ||
""" | ||
Returns the number of words in the English `dictionary`. | ||
""" | ||
pass | ||
return len(dictionary) | ||
|
||
def unload(dictionary): | ||
""" | ||
Removes everything from the English `dictionary`. | ||
""" | ||
pass | ||
dictionary=set([]) | ||
There was a problem hiding this comment. Choose a reason for hiding this commentThe reason will be displayed to describe this comment to others. Learn more. dictionary.clear() |
There was a problem hiding this comment.
Choose a reason for hiding this comment
The reason will be displayed to describe this comment to others. Learn more.
careful with indentation
also, use the builtin
sum
function!