コード例 #1
0
    def test_initialization(self):
        n_partitions = 4
        n_samples = 100

        data = [np.array([1, 2]) for i in range(n_samples)]
        rdd = self.sc.parallelize(data, n_partitions)

        assert_raises(TypeError, ArrayRDD, data)
        assert_raises(TypeError, ArrayRDD, data, False)
        assert_raises(TypeError, ArrayRDD, data, 10)

        assert_is_instance(ArrayRDD(rdd), ArrayRDD)
        assert_is_instance(ArrayRDD(rdd, 10), ArrayRDD)
        assert_is_instance(ArrayRDD(rdd, None), ArrayRDD)
コード例 #2
0
ファイル: test_rdd.py プロジェクト: schevalier/sparkit-learn
    def test_initialization(self):
        n_partitions = 4
        n_samples = 100

        data = [np.array([1, 2]) for i in range(n_samples)]
        rdd = self.sc.parallelize(data, n_partitions)

        assert_raises(TypeError, ArrayRDD, data)
        assert_raises(TypeError, ArrayRDD, data, False)
        assert_raises(TypeError, ArrayRDD, data, 10)

        assert_is_instance(ArrayRDD(rdd), ArrayRDD)
        assert_is_instance(ArrayRDD(rdd, 10), ArrayRDD)
        assert_is_instance(ArrayRDD(rdd, None), ArrayRDD)
コード例 #3
0
    def test_initialization(self):
        n_partitions = 4
        n_samples = 100

        data = [(1, 2) for i in range(n_samples)]
        rdd = self.sc.parallelize(data, n_partitions)

        assert_raises(TypeError, DictRDD, data)
        assert_raises(TypeError, DictRDD, data, bsize=False)
        assert_raises(TypeError, DictRDD, data, bsize=10)

        assert_is_instance(DictRDD(rdd), DictRDD)
        assert_is_instance(DictRDD(rdd), BlockRDD)
        assert_is_instance(DictRDD(rdd, bsize=10), DictRDD)
        assert_is_instance(DictRDD(rdd), BlockRDD)
        assert_is_instance(DictRDD(rdd, bsize=None), DictRDD)
        assert_is_instance(DictRDD(rdd), BlockRDD)
コード例 #4
0
ファイル: test_rdd.py プロジェクト: schevalier/sparkit-learn
    def test_initialization(self):
        n_partitions = 4
        n_samples = 100

        data = [(1, 2) for i in range(n_samples)]
        rdd = self.sc.parallelize(data, n_partitions)

        assert_raises(TypeError, DictRDD, data)
        assert_raises(TypeError, DictRDD, data, bsize=False)
        assert_raises(TypeError, DictRDD, data, bsize=10)

        assert_is_instance(DictRDD(rdd), DictRDD)
        assert_is_instance(DictRDD(rdd), BlockRDD)
        assert_is_instance(DictRDD(rdd, bsize=10), DictRDD)
        assert_is_instance(DictRDD(rdd), BlockRDD)
        assert_is_instance(DictRDD(rdd, bsize=None), DictRDD)
        assert_is_instance(DictRDD(rdd), BlockRDD)
コード例 #5
0
 def test_empty(self):
     n_partitions = 3
     empty_data = self.sc.parallelize([], n_partitions)
     assert_raises(ValueError, block, empty_data)
コード例 #6
0
ファイル: test_rdd.py プロジェクト: schevalier/sparkit-learn
 def test_empty(self):
     n_partitions = 3
     empty_data = self.sc.parallelize([], n_partitions)
     assert_raises(ValueError, block, empty_data)