#58EasyFunctions· Lambda and Higher-Order Functions

Lambda, Map, Filter, Reduce

Write `word_stats(words)` that returns a dictionary with four keys, in this order. Use `lambda` with the built-in higher-order functions for each one: - `"upper"`: every word in upper case, using `map`. - `"long_words"`: the words with more than 4 characters, in their original order, using `filter`. - `"total_letters"`: the total number of characters in all words, using `functools.reduce` with a starting value of 0. - `"by_length"`: the words sorted by length, and alphabetically among words of the same length, using `sorted` with a `key`.

Input format

`words`: a list of lower-case words.

Output format

A dictionary with keys `upper`, `long_words`, `total_letters` and `by_length`.

Examples

Input: words = ["pear","fig","banana","kiwi","apple"]

Output: {"upper":["PEAR","FIG","BANANA","KIWI","APPLE"],"long_words":["banana","apple"],"total_letters":22,"by_length":["fig","kiwi","pear","apple","banana"]}

`banana` and `apple` have more than 4 letters. Among the 4-letter words, `kiwi` sorts before `pear`.

Input: words = []

Output: {"upper":[],"long_words":[],"total_letters":0,"by_length":[]}

Every value is empty, and the reduction starts from 0.

Constraints

0 <= len(words) <= 100
1 <= len(word) <= 20

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Functions in Python

#python
#lambda
#map
#filter
#reduce
#sorting