Merge pull request #13 from ikostan/exercism-sync/ced40755b2f3e38d

[Sync Iteration] python/little-sisters-vocab/1

Author: ikostan

solutions/python/little-sisters-vocab/1/strings.py

@@ -0,0 +1,57 @@
+"""Functions for creating, transforming, and adding prefixes to strings."""
+
+
+def add_prefix_un(word: str) -> str:
+    """
+    Take the given word and add the 'un' prefix.
+
+    :param word: str - containing the root word.
+    :return: str - of root word prepended with 'un'.
+    """
+    return f'un{word}'
+
+
+def make_word_groups(vocab_words: list) -> str:
+    """
+    Transform a list containing a prefix and words into a string with the prefix
+    followed by the words with prefix prepended.
+
+    :param vocab_words: list - of vocabulary words with prefix in first index.
+    :return: str - of prefix followed by vocabulary words with
+            prefix applied.
+
+    This function takes a `vocab_words` list and returns a string
+    with the prefix and the words with prefix applied, separated
+     by ' :: '.
+
+    For example: list('en', 'close', 'joy', 'lighten'),
+    produces the following string: 'en :: enclose :: enjoy :: enlighten'.
+    """
+    return f' :: {vocab_words[0]}'.join(vocab_words)
+
+
+def remove_suffix_ness(word: str) -> str:
+    """
+    Remove the suffix from the word while keeping spelling in mind.
+
+    :param word: str - of word to remove suffix from.
+    :return: str - of word with suffix removed & spelling adjusted.
+
+    For example: "heaviness" becomes "heavy", but "sadness" becomes "sad".
+    """
+    return f'{word[:-5]}y' if word[-5] == 'i' else word[:-4]
+
+
+def adjective_to_verb(sentence: str, index: int):
+    """
+    Change the adjective within the sentence to a verb.
+
+    :param sentence: str - that uses the word in sentence.
+    :param index: int - index of the word to remove and transform.
+    :return: str - word that changes the extracted adjective to a verb.
+
+    For example, ("It got dark as the sun set.", 2) becomes "darken".
+    """
+    words: list[str] = sentence.split()
+    word: str = words[index].strip('.,!?')
+    return f'{word}en'