Create a function called words_in_texts that takes in a list of words and a pandas Series of email texts. It should output a 2-dimensional NumPy array containing one row for each email text. The row should contain either a 0 or a 1 for each word in the list: 0 if the word doesn't appear in the text and 1 if the word does. For example: >>> words in texts(['hello', 'bye', 'world'], pd. Series(['hello', 'hello worldhello'])) array([[1, 0, 0],
[1, 0, 1]])
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