def test_unary_list_with_key(self): dataset = tabular.from_data(('key_a', [2, 7, 1, 8, 4, 5, 9, 0, 3, 6])) assert isinstance(dataset, ppe.dataset.TabularDataset) assert len(dataset) == 10 assert dataset.keys == ('key_a', ) assert dataset.mode is None output = dataset.slice[[1, 3]].fetch() np.testing.assert_equal(output, [7, 8]) assert isinstance(output, list)
def test_unary_array_with_key(self): dataset = tabular.from_data(('key_a', np.arange(10))) assert isinstance(dataset, ppe.dataset.TabularDataset) assert len(dataset) == 10 assert dataset.keys == ('key_a', ) assert dataset.mode is None output = dataset.slice[[1, 3]].fetch() np.testing.assert_equal(output, [1, 3]) assert isinstance(output, np.ndarray)
def test_unary_array(self): dataset = tabular.from_data(np.arange(10)) assert isinstance(dataset, ppe.dataset.TabularDataset) assert len(dataset) == 10 assert len(dataset.keys) == 1 assert dataset is not None output = dataset.slice[[1, 3]].fetch() np.testing.assert_equal(output, [1, 3]) assert isinstance(output, np.ndarray)
def test_unary_callable_unary(self): dataset = tabular.from_data(('key_a', lambda i: i * i), size=10) assert isinstance(dataset, ppe.dataset.TabularDataset) assert len(dataset) == 10 assert dataset.keys == ('key_a', ) assert (dataset.mode) is None output = dataset.slice[[1, 3]].fetch() np.testing.assert_equal(output, [1, 9]) assert isinstance(output, list)
def test_dict_array_callable_unary(self): dataset = tabular.from_data({'a': np.arange(10), 'b': lambda i: i * i}) assert isinstance(dataset, ppe.dataset.TabularDataset) assert len(dataset) == 10 assert set(dataset.keys) == {'a', 'b'} assert dataset.mode == dict output = dataset.slice[[1, 3]].fetch() np.testing.assert_equal(output, {'a': [1, 3], 'b': [1, 9]}) assert isinstance(output['a'], np.ndarray) assert isinstance(output['b'], list)
def test_tuple_array_with_key_callable_unary(self): dataset = tabular.from_data( (('key_a', np.arange(10)), ('key_b', lambda i: i * i))) assert isinstance(dataset, ppe.dataset.TabularDataset) assert len(dataset) == 10 assert dataset.keys == ('key_a', 'key_b') assert dataset.mode == tuple output = dataset.slice[[1, 3]].fetch() np.testing.assert_equal(output, ([1, 3], [1, 9])) assert isinstance(output[0], np.ndarray) assert isinstance(output[1], list)
def test_tuple_array_list(self): dataset = tabular.from_data( (np.arange(10), [2, 7, 1, 8, 4, 5, 9, 0, 3, 6])) assert isinstance(dataset, ppe.dataset.TabularDataset) assert len(dataset) == 10 assert len(dataset.keys) == 2 assert dataset.mode == tuple output = dataset.slice[[1, 3]].fetch() np.testing.assert_equal(output, ([1, 3], [7, 8])) assert isinstance(output[0], np.ndarray) assert isinstance(output[1], list)
def test_unary_callable_tuple(self): dataset = tabular.from_data((('a', 'b'), lambda i: (i * i, -i)), size=10) assert isinstance(dataset, ppe.dataset.TabularDataset) assert len(dataset) == 10 assert dataset.keys == ('a', 'b') assert dataset.mode == tuple output = dataset.slice[[1, 3]].fetch() np.testing.assert_equal(output, ([1, 9], [-1, -3])) for out in output: assert isinstance(out, list)
def test_tuple_callable_unary_callable_unary(self): dataset = tabular.from_data( (('key_a', lambda i: i * i), ('key_b', lambda i: -i)), size=10) assert isinstance(dataset, ppe.dataset.TabularDataset) assert len(dataset) == 10 assert dataset.keys == ('key_a', 'key_b') assert dataset.mode == tuple output = dataset.slice[[1, 3]].fetch() np.testing.assert_equal(output, ([1, 9], [-1, -3])) assert isinstance(output[0], list) assert isinstance(output[1], list)
def test_tuple_array_callable_tuple(self): dataset = tabular.from_data( (np.arange(10), (('key_b', 'key_c'), lambda i: (i * i, -i)))) assert isinstance(dataset, ppe.dataset.TabularDataset) assert len(dataset) == 10 assert len(dataset.keys) == 3 assert dataset.keys[1] == ('key_b') assert dataset.mode == tuple output = dataset.slice[[1, 3]].fetch() np.testing.assert_equal(output, ([1, 3], [1, 9], [-1, -3])) assert isinstance(output[0], np.ndarray) assert isinstance(output[1], list)
def test_dict_callable_unary_callable_unary(self): dataset = tabular.from_data( { 'key_a': lambda i: i * i, 'key_b': lambda i: -i }, size=10) assert isinstance(dataset, ppe.dataset.TabularDataset) assert len(dataset) == 10 assert set(dataset.keys) == {'key_a', 'key_b'} output = dataset.slice[[1, 3]].fetch() np.testing.assert_equal(output, {'key_a': [1, 9], 'key_b': [-1, -3]}) assert isinstance(output['key_a'], list) assert isinstance(output['key_b'], list)
def test_dict_array_list(self): dataset = tabular.from_data({ 'key_a': np.arange(10), 'key_b': [2, 7, 1, 8, 4, 5, 9, 0, 3, 6] }) assert isinstance(dataset, ppe.dataset.TabularDataset) assert len(dataset) == 10 assert set(dataset.keys) == {'key_a', 'key_b'} assert dataset.mode == dict output = dataset.slice[[1, 3]].fetch() np.testing.assert_equal(output, {'key_a': [1, 3], 'key_b': [7, 8]}) assert isinstance(output['key_a'], np.ndarray) assert isinstance(output['key_b'], list)
def test_unary_callable_dict(self): dataset = tabular.from_data((('key_a', 'key_b'), lambda i: { 'key_a': i * i, 'key_b': -i }), size=10) assert isinstance(dataset, ppe.dataset.TabularDataset) assert len(dataset) == 10 assert dataset.keys == ('key_a', 'key_b') assert dataset.mode == dict output = dataset.slice[[1, 3]].fetch() np.testing.assert_equal(output, {'key_a': [1, 9], 'key_b': [-1, -3]}) for out in output.values(): assert isinstance(out, list)
def test_dict_array_callable_tuple(self): dataset = tabular.from_data({ 'key_a': np.arange(10), ('key_b', 'key_c'): lambda i: (i * i, -i) }) assert isinstance(dataset, ppe.dataset.TabularDataset) assert len(dataset) == 10 assert set(dataset.keys) == {'key_a', 'key_b', 'key_c'} assert dataset.mode == dict output = dataset.slice[[1, 3]].fetch() np.testing.assert_equal(output, { 'key_a': [1, 3], 'key_b': [1, 9], 'key_c': [-1, -3] }) assert isinstance(output['key_a'], np.ndarray) assert isinstance(output['key_b'], list) assert isinstance(output['key_c'], list)
def test_unary_callable_without_key(self): with pytest.raises(ValueError): tabular.from_data(lambda i: i * i, size=10)
def test_unique(self): dataset_a = tabular.from_data(np.arange(10)) dataset_b = tabular.from_data(np.arange(10)) assert dataset_a != dataset_b
def test_dict_callable_unary_callable_unary_without_size(self): with pytest.raises(ValueError): tabular.from_data(({ 'key_a': lambda i: i * i, 'key_b': lambda i: -i }))
def test_tuple_callable_unary_callable_unary_without_size(self): with pytest.raises(ValueError): tabular.from_data( (('key_a', lambda i: i * i), ('key_b', lambda i: -i)))
def test_unary_callable_without_size(self): with pytest.raises(ValueError): tabular.from_data(('a', lambda i: i * i))