You can not select more than 25 topics
Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
51 lines
1.6 KiB
51 lines
1.6 KiB
def add_prefix_un(word: str) -> str: |
|
"""This function takes `word` as a parameter and returns a new word with an |
|
'un' prefix. |
|
|
|
:param word: str of a root word |
|
:return: str of root word with un prefix |
|
""" |
|
return f'un{word}' |
|
|
|
|
|
def make_word_groups(vocab_words): |
|
"""This function takes a `vocab_words` list and returns a string with the |
|
prefix and the words with prefix applied, separated by ' :: '. |
|
|
|
:param vocab_words: list of vocabulary words with a prefix. |
|
:return: str of prefix followed by vocabulary words with |
|
prefix applied, separated by ' :: '. |
|
""" |
|
prefix = vocab_words[0] |
|
return ' :: '.join( |
|
[prefix] + |
|
[f'{prefix}{word}' |
|
for word |
|
in vocab_words[1:]] |
|
) |
|
|
|
|
|
def remove_suffix_ness(word): |
|
"""This function takes in a word and returns the base word with `ness` |
|
removed. |
|
|
|
:param word: str of word to remove suffix from. |
|
:return: str of word with suffix removed & spelling adjusted. |
|
""" |
|
no_suffix = word[:-4] |
|
if no_suffix[-1] == 'i': |
|
no_suffix = no_suffix[:-1] + 'y' |
|
return no_suffix |
|
|
|
|
|
def noun_to_verb(sentence, index): |
|
"""A function takes a `sentence` using the vocabulary word, and the `index` |
|
of the word once that sentence is split apart. The function should return |
|
the extracted adjective as a verb. |
|
|
|
:param sentence: str that uses the word in sentence |
|
:param index: index of the word to remove and transform |
|
:return: str word that changes the extracted adjective to a verb. |
|
""" |
|
word = sentence.split()[index].replace('.', '') |
|
return f'{word}en'
|
|
|