# coding: utf8
from __future__ import unicode_literals

import spacy
from spacy.tokens import Span, Doc


class CustomPipe:
    name = "my_pipe"

    def __init__(self):
        Span.set_extension("my_ext", getter=self._get_my_ext)
        Doc.set_extension("my_ext", default=None)

    def __call__(self, doc):
        gathered_ext = []
        for sent in doc.sents:
            sent_ext = self._get_my_ext(sent)
            sent._.set("my_ext", sent_ext)
            gathered_ext.append(sent_ext)

        doc._.set("my_ext", "\n".join(gathered_ext))

        return doc

    @staticmethod
    def _get_my_ext(span):
        return str(span.end)


def test_issue4903():
    # ensures that this runs correctly and doesn't hang or crash on Windows / macOS
    nlp = spacy.load("en_core_web_sm")
    custom_component = CustomPipe()
    nlp.add_pipe(custom_component, after="parser")

    text = ["I like bananas.", "Do you like them?", "No, I prefer wasabi."]
    # works without 'n_process'
    for doc in nlp.pipe(text, n_process=2):
        print(doc)