269 lines
8.3 KiB
Python
269 lines
8.3 KiB
Python
import os
|
|
import shutil
|
|
import tempfile
|
|
import warnings
|
|
import numpy
|
|
from pickle import loads
|
|
from pickle import dumps
|
|
from functools import partial
|
|
|
|
import pytest
|
|
|
|
from sklearn.datasets import get_data_home
|
|
from sklearn.datasets import clear_data_home
|
|
from sklearn.datasets import load_files
|
|
from sklearn.datasets import load_sample_images
|
|
from sklearn.datasets import load_sample_image
|
|
from sklearn.datasets import load_digits
|
|
from sklearn.datasets import load_diabetes
|
|
from sklearn.datasets import load_linnerud
|
|
from sklearn.datasets import load_iris
|
|
from sklearn.datasets import load_breast_cancer
|
|
from sklearn.datasets import load_boston
|
|
from sklearn.datasets import load_wine
|
|
from sklearn.datasets.base import Bunch
|
|
from sklearn.datasets.tests.test_common import check_return_X_y
|
|
|
|
from sklearn.externals.six import b, u
|
|
from sklearn.externals._pilutil import pillow_installed
|
|
|
|
from sklearn.utils.testing import assert_false
|
|
from sklearn.utils.testing import assert_true
|
|
from sklearn.utils.testing import assert_equal
|
|
from sklearn.utils.testing import assert_raises
|
|
|
|
|
|
def _remove_dir(path):
|
|
if os.path.isdir(path):
|
|
shutil.rmtree(path)
|
|
|
|
|
|
@pytest.fixture(scope="module")
|
|
def data_home(tmpdir_factory):
|
|
tmp_file = str(tmpdir_factory.mktemp("scikit_learn_data_home_test"))
|
|
yield tmp_file
|
|
_remove_dir(tmp_file)
|
|
|
|
|
|
@pytest.fixture(scope="module")
|
|
def load_files_root(tmpdir_factory):
|
|
tmp_file = str(tmpdir_factory.mktemp("scikit_learn_load_files_test"))
|
|
yield tmp_file
|
|
_remove_dir(tmp_file)
|
|
|
|
|
|
@pytest.fixture
|
|
def test_category_dir_1(load_files_root):
|
|
test_category_dir1 = tempfile.mkdtemp(dir=load_files_root)
|
|
sample_file = tempfile.NamedTemporaryFile(dir=test_category_dir1,
|
|
delete=False)
|
|
sample_file.write(b("Hello World!\n"))
|
|
sample_file.close()
|
|
yield str(test_category_dir1)
|
|
_remove_dir(test_category_dir1)
|
|
|
|
|
|
@pytest.fixture
|
|
def test_category_dir_2(load_files_root):
|
|
test_category_dir2 = tempfile.mkdtemp(dir=load_files_root)
|
|
yield str(test_category_dir2)
|
|
_remove_dir(test_category_dir2)
|
|
|
|
|
|
def test_data_home(data_home):
|
|
# get_data_home will point to a pre-existing folder
|
|
data_home = get_data_home(data_home=data_home)
|
|
assert_equal(data_home, data_home)
|
|
assert_true(os.path.exists(data_home))
|
|
|
|
# clear_data_home will delete both the content and the folder it-self
|
|
clear_data_home(data_home=data_home)
|
|
assert_false(os.path.exists(data_home))
|
|
|
|
# if the folder is missing it will be created again
|
|
data_home = get_data_home(data_home=data_home)
|
|
assert_true(os.path.exists(data_home))
|
|
|
|
|
|
def test_default_empty_load_files(load_files_root):
|
|
res = load_files(load_files_root)
|
|
assert_equal(len(res.filenames), 0)
|
|
assert_equal(len(res.target_names), 0)
|
|
assert_equal(res.DESCR, None)
|
|
|
|
|
|
def test_default_load_files(test_category_dir_1, test_category_dir_2,
|
|
load_files_root):
|
|
res = load_files(load_files_root)
|
|
assert_equal(len(res.filenames), 1)
|
|
assert_equal(len(res.target_names), 2)
|
|
assert_equal(res.DESCR, None)
|
|
assert_equal(res.data, [b("Hello World!\n")])
|
|
|
|
|
|
def test_load_files_w_categories_desc_and_encoding(
|
|
test_category_dir_1, test_category_dir_2, load_files_root):
|
|
category = os.path.abspath(test_category_dir_1).split('/').pop()
|
|
res = load_files(load_files_root, description="test",
|
|
categories=category, encoding="utf-8")
|
|
assert_equal(len(res.filenames), 1)
|
|
assert_equal(len(res.target_names), 1)
|
|
assert_equal(res.DESCR, "test")
|
|
assert_equal(res.data, [u("Hello World!\n")])
|
|
|
|
|
|
def test_load_files_wo_load_content(
|
|
test_category_dir_1, test_category_dir_2, load_files_root):
|
|
res = load_files(load_files_root, load_content=False)
|
|
assert_equal(len(res.filenames), 1)
|
|
assert_equal(len(res.target_names), 2)
|
|
assert_equal(res.DESCR, None)
|
|
assert_equal(res.get('data'), None)
|
|
|
|
|
|
def test_load_sample_images():
|
|
try:
|
|
res = load_sample_images()
|
|
assert_equal(len(res.images), 2)
|
|
assert_equal(len(res.filenames), 2)
|
|
assert_true(res.DESCR)
|
|
except ImportError:
|
|
warnings.warn("Could not load sample images, PIL is not available.")
|
|
|
|
|
|
def test_load_digits():
|
|
digits = load_digits()
|
|
assert_equal(digits.data.shape, (1797, 64))
|
|
assert_equal(numpy.unique(digits.target).size, 10)
|
|
|
|
# test return_X_y option
|
|
check_return_X_y(digits, partial(load_digits))
|
|
|
|
|
|
def test_load_digits_n_class_lt_10():
|
|
digits = load_digits(9)
|
|
assert_equal(digits.data.shape, (1617, 64))
|
|
assert_equal(numpy.unique(digits.target).size, 9)
|
|
|
|
|
|
def test_load_sample_image():
|
|
try:
|
|
china = load_sample_image('china.jpg')
|
|
assert_equal(china.dtype, 'uint8')
|
|
assert_equal(china.shape, (427, 640, 3))
|
|
except ImportError:
|
|
warnings.warn("Could not load sample images, PIL is not available.")
|
|
|
|
|
|
def test_load_missing_sample_image_error():
|
|
if pillow_installed:
|
|
assert_raises(AttributeError, load_sample_image,
|
|
'blop.jpg')
|
|
else:
|
|
warnings.warn("Could not load sample images, PIL is not available.")
|
|
|
|
|
|
def test_load_diabetes():
|
|
res = load_diabetes()
|
|
assert_equal(res.data.shape, (442, 10))
|
|
assert_true(res.target.size, 442)
|
|
assert_equal(len(res.feature_names), 10)
|
|
assert_true(res.DESCR)
|
|
|
|
# test return_X_y option
|
|
check_return_X_y(res, partial(load_diabetes))
|
|
|
|
|
|
def test_load_linnerud():
|
|
res = load_linnerud()
|
|
assert_equal(res.data.shape, (20, 3))
|
|
assert_equal(res.target.shape, (20, 3))
|
|
assert_equal(len(res.target_names), 3)
|
|
assert_true(res.DESCR)
|
|
assert_true(os.path.exists(res.data_filename))
|
|
assert_true(os.path.exists(res.target_filename))
|
|
|
|
# test return_X_y option
|
|
check_return_X_y(res, partial(load_linnerud))
|
|
|
|
|
|
def test_load_iris():
|
|
res = load_iris()
|
|
assert_equal(res.data.shape, (150, 4))
|
|
assert_equal(res.target.size, 150)
|
|
assert_equal(res.target_names.size, 3)
|
|
assert_true(res.DESCR)
|
|
assert_true(os.path.exists(res.filename))
|
|
|
|
# test return_X_y option
|
|
check_return_X_y(res, partial(load_iris))
|
|
|
|
|
|
def test_load_wine():
|
|
res = load_wine()
|
|
assert_equal(res.data.shape, (178, 13))
|
|
assert_equal(res.target.size, 178)
|
|
assert_equal(res.target_names.size, 3)
|
|
assert_true(res.DESCR)
|
|
|
|
# test return_X_y option
|
|
check_return_X_y(res, partial(load_wine))
|
|
|
|
|
|
def test_load_breast_cancer():
|
|
res = load_breast_cancer()
|
|
assert_equal(res.data.shape, (569, 30))
|
|
assert_equal(res.target.size, 569)
|
|
assert_equal(res.target_names.size, 2)
|
|
assert_true(res.DESCR)
|
|
assert_true(os.path.exists(res.filename))
|
|
|
|
# test return_X_y option
|
|
check_return_X_y(res, partial(load_breast_cancer))
|
|
|
|
|
|
def test_load_boston():
|
|
res = load_boston()
|
|
assert_equal(res.data.shape, (506, 13))
|
|
assert_equal(res.target.size, 506)
|
|
assert_equal(res.feature_names.size, 13)
|
|
assert_true(res.DESCR)
|
|
assert_true(os.path.exists(res.filename))
|
|
|
|
# test return_X_y option
|
|
check_return_X_y(res, partial(load_boston))
|
|
|
|
|
|
def test_loads_dumps_bunch():
|
|
bunch = Bunch(x="x")
|
|
bunch_from_pkl = loads(dumps(bunch))
|
|
bunch_from_pkl.x = "y"
|
|
assert_equal(bunch_from_pkl['x'], bunch_from_pkl.x)
|
|
|
|
|
|
def test_bunch_pickle_generated_with_0_16_and_read_with_0_17():
|
|
bunch = Bunch(key='original')
|
|
# This reproduces a problem when Bunch pickles have been created
|
|
# with scikit-learn 0.16 and are read with 0.17. Basically there
|
|
# is a surprising behaviour because reading bunch.key uses
|
|
# bunch.__dict__ (which is non empty for 0.16 Bunch objects)
|
|
# whereas assigning into bunch.key uses bunch.__setattr__. See
|
|
# https://github.com/scikit-learn/scikit-learn/issues/6196 for
|
|
# more details
|
|
bunch.__dict__['key'] = 'set from __dict__'
|
|
bunch_from_pkl = loads(dumps(bunch))
|
|
# After loading from pickle the __dict__ should have been ignored
|
|
assert_equal(bunch_from_pkl.key, 'original')
|
|
assert_equal(bunch_from_pkl['key'], 'original')
|
|
# Making sure that changing the attr does change the value
|
|
# associated with __getitem__ as well
|
|
bunch_from_pkl.key = 'changed'
|
|
assert_equal(bunch_from_pkl.key, 'changed')
|
|
assert_equal(bunch_from_pkl['key'], 'changed')
|
|
|
|
|
|
def test_bunch_dir():
|
|
# check that dir (important for autocomplete) shows attributes
|
|
data = load_iris()
|
|
assert_true("data" in dir(data))
|