mirror of
https://github.com/explosion/spaCy.git
synced 2024-12-26 18:06:29 +03:00
141 lines
4.0 KiB
Python
141 lines
4.0 KiB
Python
import pytest
|
|
import os
|
|
import ctypes
|
|
from pathlib import Path
|
|
from spacy.about import __version__ as spacy_version
|
|
from spacy import util
|
|
from spacy import prefer_gpu, require_gpu
|
|
from spacy.ml._precomputable_affine import PrecomputableAffine
|
|
from spacy.ml._precomputable_affine import _backprop_precomputable_affine_padding
|
|
|
|
|
|
@pytest.fixture
|
|
def is_admin():
|
|
"""Determine if the tests are run as admin or not."""
|
|
try:
|
|
admin = os.getuid() == 0
|
|
except AttributeError:
|
|
admin = ctypes.windll.shell32.IsUserAnAdmin() != 0
|
|
|
|
return admin
|
|
|
|
|
|
@pytest.mark.parametrize("text", ["hello/world", "hello world"])
|
|
def test_util_ensure_path_succeeds(text):
|
|
path = util.ensure_path(text)
|
|
assert isinstance(path, Path)
|
|
|
|
|
|
@pytest.mark.parametrize(
|
|
"package,result", [("numpy", True), ("sfkodskfosdkfpsdpofkspdof", False)]
|
|
)
|
|
def test_util_is_package(package, result):
|
|
"""Test that an installed package via pip is recognised by util.is_package."""
|
|
assert util.is_package(package) is result
|
|
|
|
|
|
@pytest.mark.parametrize("package", ["thinc"])
|
|
def test_util_get_package_path(package):
|
|
"""Test that a Path object is returned for a package name."""
|
|
path = util.get_package_path(package)
|
|
assert isinstance(path, Path)
|
|
|
|
|
|
def test_PrecomputableAffine(nO=4, nI=5, nF=3, nP=2):
|
|
model = PrecomputableAffine(nO=nO, nI=nI, nF=nF, nP=nP).initialize()
|
|
assert model.get_param("W").shape == (nF, nO, nP, nI)
|
|
tensor = model.ops.alloc((10, nI))
|
|
Y, get_dX = model.begin_update(tensor)
|
|
assert Y.shape == (tensor.shape[0] + 1, nF, nO, nP)
|
|
dY = model.ops.alloc((15, nO, nP))
|
|
ids = model.ops.alloc((15, nF))
|
|
ids[1, 2] = -1
|
|
dY[1] = 1
|
|
assert not model.has_grad("pad")
|
|
d_pad = _backprop_precomputable_affine_padding(model, dY, ids)
|
|
assert d_pad[0, 2, 0, 0] == 1.0
|
|
ids.fill(0.0)
|
|
dY.fill(0.0)
|
|
dY[0] = 0
|
|
ids[1, 2] = 0
|
|
ids[1, 1] = -1
|
|
ids[1, 0] = -1
|
|
dY[1] = 1
|
|
ids[2, 0] = -1
|
|
dY[2] = 5
|
|
d_pad = _backprop_precomputable_affine_padding(model, dY, ids)
|
|
assert d_pad[0, 0, 0, 0] == 6
|
|
assert d_pad[0, 1, 0, 0] == 1
|
|
assert d_pad[0, 2, 0, 0] == 0
|
|
|
|
|
|
def test_prefer_gpu():
|
|
try:
|
|
import cupy # noqa: F401
|
|
except ImportError:
|
|
assert not prefer_gpu()
|
|
|
|
|
|
def test_require_gpu():
|
|
try:
|
|
import cupy # noqa: F401
|
|
except ImportError:
|
|
with pytest.raises(ValueError):
|
|
require_gpu()
|
|
|
|
|
|
def test_ascii_filenames():
|
|
"""Test that all filenames in the project are ASCII.
|
|
See: https://twitter.com/_inesmontani/status/1177941471632211968
|
|
"""
|
|
root = Path(__file__).parent.parent
|
|
for path in root.glob("**/*"):
|
|
assert all(ord(c) < 128 for c in path.name), path.name
|
|
|
|
|
|
def test_load_model_blank_shortcut():
|
|
"""Test that using a model name like "blank:en" works as a shortcut for
|
|
spacy.blank("en").
|
|
"""
|
|
nlp = util.load_model("blank:en")
|
|
assert nlp.lang == "en"
|
|
assert nlp.pipeline == []
|
|
with pytest.raises(ImportError):
|
|
util.load_model("blank:fjsfijsdof")
|
|
|
|
|
|
@pytest.mark.parametrize(
|
|
"version,constraint,compatible",
|
|
[
|
|
(spacy_version, spacy_version, True),
|
|
(spacy_version, f">={spacy_version}", True),
|
|
("3.0.0", "2.0.0", False),
|
|
("3.2.1", ">=2.0.0", True),
|
|
("2.2.10a1", ">=1.0.0,<2.1.1", False),
|
|
("3.0.0.dev3", ">=1.2.3,<4.5.6", True),
|
|
("n/a", ">=1.2.3,<4.5.6", None),
|
|
("1.2.3", "n/a", None),
|
|
("n/a", "n/a", None),
|
|
],
|
|
)
|
|
def test_is_compatible_version(version, constraint, compatible):
|
|
assert util.is_compatible_version(version, constraint) is compatible
|
|
|
|
|
|
@pytest.mark.parametrize(
|
|
"constraint,expected",
|
|
[
|
|
("3.0.0", False),
|
|
("==3.0.0", False),
|
|
(">=2.3.0", True),
|
|
(">2.0.0", True),
|
|
("<=2.0.0", True),
|
|
(">2.0.0,<3.0.0", False),
|
|
(">=2.0.0,<3.0.0", False),
|
|
("!=1.1,>=1.0,~=1.0", True),
|
|
("n/a", None),
|
|
],
|
|
)
|
|
def test_is_unconstrained_version(constraint, expected):
|
|
assert util.is_unconstrained_version(constraint) is expected
|