Python max_mergeの例

コード例 #1

ファイル: test_hierarchical.py プロジェクト: zofuthan/scikit-learn

def test_int_float_dict():
    rng = np.random.RandomState(0)
    keys = np.unique(rng.randint(100, size=10).astype(np.intp))
    values = rng.rand(len(keys))

    d = IntFloatDict(keys, values)
    for key, value in zip(keys, values):
        assert d[key] == value

    other_keys = np.arange(50).astype(np.intp)[::2]
    other_values = 0.5 * np.ones(50)[::2]
    other = IntFloatDict(other_keys, other_values)
    # Complete smoke test
    max_merge(d, other, mask=np.ones(100, dtype=np.intp), n_a=1, n_b=1)
    average_merge(d, other, mask=np.ones(100, dtype=np.intp), n_a=1, n_b=1)

コード例 #2

ファイル: test_hierarchical.py プロジェクト: foresthz/scikit-learn

def test_int_float_dict():
    rng = np.random.RandomState(0)
    keys = np.unique(rng.randint(100, size=10).astype(np.intp))
    values = rng.rand(len(keys))

    d = IntFloatDict(keys, values)
    for key, value in zip(keys, values):
        assert d[key] == value

    other_keys = np.arange(50).astype(np.intp)[::2]
    other_values = 0.5 * np.ones(50)[::2]
    other = IntFloatDict(other_keys, other_values)
    # Complete smoke test
    max_merge(d, other, mask=np.ones(100, dtype=np.intp), n_a=1, n_b=1)
    average_merge(d, other, mask=np.ones(100, dtype=np.intp), n_a=1, n_b=1)