# -*- coding: utf-8 -*-
# Natural Language Toolkit: Transformation-based learning
#
# Copyright (C) 2001-2019 NLTK Project
# Author: Marcus Uneson <marcus.uneson@gmail.com>
#   based on previous (nltk2) version by
#   Christopher Maloof, Edward Loper, Steven Bird
# URL: <http://nltk.org/>
# For license information, see  LICENSE.TXT

from __future__ import print_function


# returns a list of errors in string format


def error_list(train_sents, test_sents):
    """
    Returns a list of human-readable strings indicating the errors in the
    given tagging of the corpus.

    :param train_sents: The correct tagging of the corpus
    :type train_sents: list(tuple)
    :param test_sents: The tagged corpus
    :type test_sents: list(tuple)
    """
    hdr = ('%25s | %s | %s\n' + '-' * 26 + '+' + '-' * 24 + '+' + '-' * 26) % (
        'left context',
        'word/test->gold'.center(22),
        'right context',
    )
    errors = [hdr]
    for (train_sent, test_sent) in zip(train_sents, test_sents):
        for wordnum, (word, train_pos) in enumerate(train_sent):
            test_pos = test_sent[wordnum][1]
            if train_pos != test_pos:
                left = ' '.join('%s/%s' % w for w in train_sent[:wordnum])
                right = ' '.join('%s/%s' % w for w in train_sent[wordnum + 1 :])
                mid = '%s/%s->%s' % (word, test_pos, train_pos)
                errors.append(
                    '%25s | %s | %s' % (left[-25:], mid.center(22), right[:25])
                )

    return errors