spaCy/spacy/tests/tokenizer/test_tokenizer.py

# coding: utf-8
from __future__ import unicode_literals
from os import path

import pytest
import io
import pickle
import cloudpickle
import tempfile

from ... import util
from ...language_data import TOKENIZER_PREFIXES
from spacy.util import utf8open

en_search_prefixes = util.compile_prefix_regex(TOKENIZER_PREFIXES).search

# @pytest.mark.xfail
# def test_pickle(en_tokenizer):
#     file_ = io.BytesIO()
#     cloudpickle.dump(en_tokenizer, file_)
#     file_.seek(0)
#     loaded = pickle.load(file_)
#     assert loaded is not None

    assert len(tokens) == 0


def test_single_word(en_tokenizer):
    tokens = en_tokenizer(u'hello')
    assert tokens[0].orth_ == 'hello'


def test_two_words(en_tokenizer):
    tokens = en_tokenizer('hello possums')
    assert len(tokens) == 2
    assert tokens[0].orth_ != tokens[1].orth_


def test_punct(en_tokenizer):
    tokens = en_tokenizer('hello, possums.')
    assert len(tokens) == 4
    assert tokens[0].orth_ == 'hello'
    assert tokens[1].orth_ == ','
    assert tokens[2].orth_ == 'possums'
    assert tokens[1].orth_ != 'hello'


def test_digits(en_tokenizer):
    tokens = en_tokenizer('The year: 1984.')
    assert len(tokens) == 5
    assert tokens[0].orth == en_tokenizer.vocab['The'].orth
    assert tokens[3].orth == en_tokenizer.vocab['1984'].orth


def test_contraction(en_tokenizer):
    tokens = en_tokenizer("don't giggle")
    assert len(tokens) == 3
    assert tokens[1].orth == en_tokenizer.vocab["n't"].orth
    tokens = en_tokenizer("i said don't!")
    assert len(tokens) == 5
    assert tokens[4].orth == en_tokenizer.vocab['!'].orth

    assert len(tokens) == 3


def test_sample(en_tokenizer):
    text = """Tributes pour in for late British Labour Party leader

Tributes poured in from around the world Thursday
to the late Labour Party leader John Smith, who died earlier from a massive
heart attack aged 55.

In Washington, the US State Department issued a statement regretting "the
untimely death" of the rapier-tongued Scottish barrister and parliamentarian.

"Mr. Smith, throughout his distinguished"""

    tokens = en_tokenizer(text)
    assert len(tokens) > 5


def test_cnts1(en_tokenizer):
    text = u"""The U.S. Army likes Shock and Awe."""
@pytest.mark.parametrize('file_name', ["sun.txt"])
def test_tokenizer_handle_text_from_file(en_tokenizer, file_name):
    loc = path.join(path.dirname(__file__), file_name)
    text = utf8open(loc).read()
    assert len(text) != 0
    tokens = en_tokenizer(text)
    assert len(tokens) == 8


def test_cnts2(en_tokenizer):
    text = u"""U.N. regulations are not a part of their concern."""
    tokens = en_tokenizer(text)
    assert len(tokens) == 10


def test_cnts3(en_tokenizer):
    text = u"“Isn't it?”"
    tokens = en_tokenizer(text)
    words = [t.orth_ for t in tokens]
    assert len(words) == 6


def test_cnts4(en_tokenizer):
    text = u"""Yes! "I'd rather have a walk", Ms. Comble sighed. """
    tokens = en_tokenizer(text)
    words = [t.orth_ for t in tokens]
    assert len(words) == 15


def test_cnts5(en_tokenizer):
    text = """'Me too!', Mr. P. Delaware cried. """
    tokens = en_tokenizer(text)
    assert len(tokens) == 11


@pytest.mark.xfail
def test_mr(en_tokenizer):
    text = """Today is Tuesday.Mr."""
    tokens = en_tokenizer(text)
    assert len(tokens) == 5
    assert [w.orth_ for w in tokens] == ['Today', 'is', 'Tuesday', '.', 'Mr.']


def test_cnts6(en_tokenizer):
    text = u'They ran about 10km.'
    tokens = en_tokenizer(text)
    words = [t.orth_ for t in tokens]
    assert len(words) == 6

def test_bracket_period(en_tokenizer):
    text = u'(And a 6a.m. run through Washington Park).'
    tokens = en_tokenizer(text)
    assert tokens[len(tokens) - 1].orth_ == u'.'


def test_ie(en_tokenizer):
    text = u"It's mediocre i.e. bad."
    tokens = en_tokenizer(text)
    assert len(tokens) == 6
    assert tokens[3].orth_ == "i.e."




#def test_cnts7():
#    text = 'But then the 6,000-year ice age came...'
#    tokens = EN.tokenize(text)
#    assert len(tokens) == 10
def test_tokenizer_suspected_freeing_strings(en_tokenizer):
    text1 = "Betty Botter bought a pound of butter."
    text2 = "Betty also bought a pound of butter."
    tokens1 = en_tokenizer(text1)
    tokens2 = en_tokenizer(text2)
    assert tokens1[0].text == "Betty"
    assert tokens2[0].text == "Betty"