spaCy/spacy/tests/doc/test_array.py
Ines Montani db55577c45
Drop Python 2.7 and 3.5 (#4828)
* Remove unicode declarations

* Remove Python 3.5 and 2.7 from CI

* Don't require pathlib

* Replace compat helpers

* Remove OrderedDict

* Use f-strings

* Set Cython compiler language level

* Fix typo

* Re-add OrderedDict for Table

* Update setup.cfg

* Revert CONTRIBUTING.md

* Revert lookups.md

* Revert top-level.md

* Small adjustments and docs [ci skip]
2019-12-22 01:53:56 +01:00

66 lines
2.3 KiB
Python

import pytest
from spacy.tokens import Doc
from spacy.attrs import ORTH, SHAPE, POS, DEP
from ..util import get_doc
def test_doc_array_attr_of_token(en_vocab):
doc = Doc(en_vocab, words=["An", "example", "sentence"])
example = doc.vocab["example"]
assert example.orth != example.shape
feats_array = doc.to_array((ORTH, SHAPE))
assert feats_array[0][0] != feats_array[0][1]
assert feats_array[0][0] != feats_array[0][1]
def test_doc_stringy_array_attr_of_token(en_vocab):
doc = Doc(en_vocab, words=["An", "example", "sentence"])
example = doc.vocab["example"]
assert example.orth != example.shape
feats_array = doc.to_array((ORTH, SHAPE))
feats_array_stringy = doc.to_array(("ORTH", "SHAPE"))
assert feats_array_stringy[0][0] == feats_array[0][0]
assert feats_array_stringy[0][1] == feats_array[0][1]
def test_doc_scalar_attr_of_token(en_vocab):
doc = Doc(en_vocab, words=["An", "example", "sentence"])
example = doc.vocab["example"]
assert example.orth != example.shape
feats_array = doc.to_array(ORTH)
assert feats_array.shape == (3,)
def test_doc_array_tag(en_vocab):
words = ["A", "nice", "sentence", "."]
pos = ["DET", "ADJ", "NOUN", "PUNCT"]
doc = get_doc(en_vocab, words=words, pos=pos)
assert doc[0].pos != doc[1].pos != doc[2].pos != doc[3].pos
feats_array = doc.to_array((ORTH, POS))
assert feats_array[0][1] == doc[0].pos
assert feats_array[1][1] == doc[1].pos
assert feats_array[2][1] == doc[2].pos
assert feats_array[3][1] == doc[3].pos
def test_doc_array_dep(en_vocab):
words = ["A", "nice", "sentence", "."]
deps = ["det", "amod", "ROOT", "punct"]
doc = get_doc(en_vocab, words=words, deps=deps)
feats_array = doc.to_array((ORTH, DEP))
assert feats_array[0][1] == doc[0].dep
assert feats_array[1][1] == doc[1].dep
assert feats_array[2][1] == doc[2].dep
assert feats_array[3][1] == doc[3].dep
@pytest.mark.parametrize("attrs", [["ORTH", "SHAPE"], "IS_ALPHA"])
def test_doc_array_to_from_string_attrs(en_vocab, attrs):
"""Test that both Doc.to_array and Doc.from_array accept string attrs,
as well as single attrs and sequences of attrs.
"""
words = ["An", "example", "sentence"]
doc = Doc(en_vocab, words=words)
Doc(en_vocab, words=words).from_array(attrs, doc.to_array(attrs))