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Write a function ngrams(n, tokens) that produces a list of all n-grams of the specified size from the input token list. Each n-gram should consist of a 2-element tuple (context, token), where the context is itself an (n-1)-element tuple comprised of the n-1 words preceding the current token. The sentence should be padded with n-1 "" tokens at the beginning and a single "" token at the end. If n = 1, all contexts should be empty tuples. You may assume that n ≥ 1.

>>> ngrams(1, 'abc')
[('~', 'a'), ('a', 'b'), ('b', 'c')]
>>> ngrams(2, 'abc')
[('~~', 'a'), ('~a', 'b'), ('ab', 'c')]

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