# coding: utf-8
from __future__ import unicode_literals

from ...util import get_doc

import pytest


def test_de_parser_noun_chunks_standard_de(de_tokenizer):
    text = "Eine Tasse steht auf dem Tisch."
    heads = [1, 1, 0, -1, 1, -2, -4]
    tags = ['ART', 'NN', 'VVFIN', 'APPR', 'ART', 'NN', '$.']
    deps = ['nk', 'sb', 'ROOT', 'mo', 'nk', 'nk', 'punct']

    tokens = de_tokenizer(text)
    doc = get_doc(tokens.vocab, [t.text for t in tokens], tags=tags, deps=deps, heads=heads)
    chunks = list(doc.noun_chunks)
    assert len(chunks) == 2
    assert chunks[0].text_with_ws == "Eine Tasse "
    assert chunks[1].text_with_ws == "dem Tisch "


def test_de_extended_chunk(de_tokenizer):
    text = "Die Sängerin singt mit einer Tasse Kaffee Arien."
    heads = [1, 1, 0, -1, 1, -2, -1, -5, -6]
    tags = ['ART', 'NN', 'VVFIN', 'APPR', 'ART', 'NN', 'NN', 'NN', '$.']
    deps = ['nk', 'sb', 'ROOT', 'mo', 'nk', 'nk', 'nk', 'oa', 'punct']

    tokens = de_tokenizer(text)
    doc = get_doc(tokens.vocab, [t.text for t in tokens], tags=tags, deps=deps, heads=heads)
    chunks = list(doc.noun_chunks)
    assert len(chunks) == 3
    assert chunks[0].text_with_ws == "Die Sängerin "
    assert chunks[1].text_with_ws == "einer Tasse Kaffee "
    assert chunks[2].text_with_ws == "Arien "
