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File Content: `test_kddcup99.py`

"""Test  kddcup99 loader. Only 'percent10' mode is tested, as the full data
is too big to use in unit-testing.

The test is skipped if the data wasn't previously fetched and saved to
scikit-learn data folder.
"""

import errno
from sklearn.datasets import fetch_kddcup99
from sklearn.utils.testing import assert_equal, SkipTest


def test_percent10():
    try:
        data = fetch_kddcup99(download_if_missing=False)
    except IOError as e:
        if e.errno == errno.ENOENT:
            raise SkipTest("kddcup99 dataset can not be loaded.")

    assert_equal(data.data.shape, (494021, 41))
    assert_equal(data.target.shape, (494021,))

    data_shuffled = fetch_kddcup99(shuffle=True, random_state=0)
    assert_equal(data.data.shape, data_shuffled.data.shape)
    assert_equal(data.target.shape, data_shuffled.target.shape)

    data = fetch_kddcup99('SA')
    assert_equal(data.data.shape, (100655, 41))
    assert_equal(data.target.shape, (100655,))

    data = fetch_kddcup99('SF')
    assert_equal(data.data.shape, (73237, 4))
    assert_equal(data.target.shape, (73237,))

    data = fetch_kddcup99('http')
    assert_equal(data.data.shape, (58725, 3))
    assert_equal(data.target.shape, (58725,))

    data = fetch_kddcup99('smtp')
    assert_equal(data.data.shape, (9571, 3))
    assert_equal(data.target.shape, (9571,))

Name	Size	Permission
__pycache__	---	0755
data	---	0755
__init__.py	0 bytes	0644
test_20news.py	3266 bytes	0644
test_base.py	8862 bytes	0644
test_covtype.py	857 bytes	0644
test_kddcup99.py	1336 bytes	0644
test_lfw.py	7877 bytes	0644
test_mldata.py	5221 bytes	0644
test_rcv1.py	2414 bytes	0644
test_samples_generator.py	15664 bytes	0644
test_svmlight_format.py	13398 bytes	0644

File Content: test_kddcup99.py

File Content: `test_kddcup99.py`