def test_to_dict(self):
node = schema.Time()
node_dict = node.to_dict()
assert 'node_type' in node_dict
assert node_dict['node_type'] == 'Time'
assert 'config' in node_dict
assert node_dict['config'] == {'set_on_create': False}
def test_default_value_set_on_create(self, backend):
data_node = backend.module.Time(schema.Time(set_on_create=True),
parent=None,
new_params=backend.new_params)
assert data_node._storage is not None
dt = datetime.datetime.now().time()
assert ((data_node.value.hour, data_node.value.minute) == (dt.hour,
dt.minute))
class TestTime(ItemNodeTestBase):
class_name = 'Time'
schema_node = schema.Time()
valid_data = datetime.time(13, 37, 42, 23)
def test_default_value(self, data_node):
assert data_node._storage is None
def test_default_value_set_on_create(self, backend):
data_node = backend.module.Time(schema.Time(set_on_create=True),
parent=None,
new_params=backend.new_params)
assert data_node._storage is not None
dt = datetime.datetime.now().time()
assert ((data_node.value.hour, data_node.value.minute) == (dt.hour,
dt.minute))
import numpy as np
import pytest
from dsch import data, schema
from dsch.backends import npz
@pytest.mark.parametrize('schema_node,valid_data', (
(schema.Array(dtype='int32'), np.array([23, 42], dtype='int32')),
(schema.Bool(), True),
(schema.Date(), datetime.date.today()),
(schema.DateTime(), datetime.datetime.now()),
(schema.Scalar(dtype='int32'), np.int32(42)),
(schema.String(), 'spam'),
(schema.Time(), datetime.datetime.now().time()),
))
def test_save_item_node(schema_node, valid_data):
data_node = data.data_node_from_schema(schema_node,
module_name='dsch.backends.npz',
parent=None)
data_node.value = valid_data
assert np.all(data_node.save() == data_node._storage)
class TestCompilation:
def test_init_from_storage(self):
schema_node = schema.Compilation({'spam': schema.Bool(),
'eggs': schema.Bool()})
data_storage = {'spam': np.array([True]),
'eggs': np.array([False])}
class TestBool(ItemNodeTestBase):
class_name = 'Bool'
schema_node = schema.Bool()
valid_data = True
@pytest.mark.parametrize('schema_subnode,valid_subnode_data', (
(schema.Array(dtype='int32'), np.array([23, 42], dtype='int32')),
(schema.Bytes(), b'spam'),
(schema.Bool(), True),
(schema.Date(), datetime.date.today()),
(schema.DateTime(), datetime.datetime.now()),
(schema.Scalar(dtype='int32'), np.int32(42)),
(schema.String(), 'spam'),
(schema.Time(), datetime.time(13, 37, 42, 23)),
))
class TestCompilation:
@pytest.fixture()
def data_node(self, backend, schema_subnode):
schema_node = schema.Compilation({
'spam': schema_subnode,
'eggs': schema_subnode
})
data_node = backend.module.Compilation(schema_node,
parent=None,
new_params=backend.new_params)
return data_node
def test_clear(self, data_node, valid_subnode_data):
data_node.spam.value = valid_subnode_data
def test_validate_fail(self, test_data):
node = schema.Time()
with pytest.raises(ValidationError):
node.validate(test_data)
def test_validate(self):
node = schema.Time()
node.validate(datetime.time(13, 37, 42))
def test_init_defaults(self):
node = schema.Time()
assert not node.set_on_create
def test_init(self):
node = schema.Time(set_on_create=True)
assert node.set_on_create
import datetime
import json
import numpy as np
import pytest
from dsch import schema
from dsch.exceptions import ValidationError
@pytest.mark.parametrize(
'node', (schema.Array(dtype='int32'), schema.Bool(), schema.Bytes(),
schema.Compilation({'spam': schema.Bool()}), schema.Date(),
schema.DateTime(), schema.List(schema.Bool()),
schema.Scalar(dtype='int32'), schema.String(), schema.Time()))
class TestGenericSchemaNode:
def test_to_json(self, node):
json_str = node.to_json()
node_dict = json.loads(json_str)
assert isinstance(node_dict, dict)
def test_hash(self, node):
hash = node.hash()
assert len(hash) == 64
@pytest.mark.parametrize('node1, node2', (
(schema.Array(dtype='float'), schema.Array(dtype='float')),
(schema.Bool(), schema.Bool()),
(schema.Bytes(), schema.Bytes()),
(schema.Compilation({'spam': schema.Bool()
