Python >>> sentence = ( ... "The rocket, who was named Ted, came back " ... "from Mars because he missed his friends." ... ) >>> def is_consonant(letter): ... vowels = "aeiou" ... return letter.isalpha() and letter.lower() not in vowels ... >>> [char for ...
isalpha(): raise ValueError("Text must be ASCII and contain no numbers.") lowercase = string.ascii_lowercase uppercase = string.ascii_uppercase result = "" if decrypt: shift = shift * -1 for char in text: if char.islower(): index = lowercase.index(char) result += lowercase[(index ...
size() == 1 && std::isalpha(arg[0]); }; char c = ' '; // matches required positional repeatable value(is_char, "c", c); // one character yes yes noGroupsgroup mutually compatible parameters with parentheses and commas: auto cli = ( option("-a"), option("-b"), option("-c...
isalpha()] # make lower case tokens = [word.lower() for word in tokens] return tokens We can run this cleaning operation on our loaded document and print out some of the tokens and statistics as a sanity check. 1 2 3 4 5 # clean document tokens = clean_doc(doc) print(tokens[:...
The real test comes when you input text of your own into the model and see how it performs — that is, how adept it is at quantifying the sentiment expressed in that text. In this unit, you'll write a Python function that accepts a text string as input, passes...