def test_from_xml(self):
f = open(self.tmpfile)
data = f.read()
f.close()
ByteArray.to_parent_element([data], ns_test, element)
element = element[0]
a2 = ByteArray.from_xml(element)
self.assertEquals(data, a2.data)
def test_to_parent_element_data(self):
f = open(self.tmpfile)
data = f.read()
f.close()
element = etree.Element("test")
ByteArray.to_parent_element([data], ns_test, element)
element = element[0]
encoded_data = base64.encodestring(data)
self.assertNotEquals(element.text, None)
self.assertEquals(element.text, encoded_data)
def execute_algorithm(algorithm_name, data_set_name, num_nodes, command_line_args):
algo = [algo for algo in list_algorithms() if algo[0] == algorithm_name]
dataset = [ds for ds in list_datasets() if ds == data_set_name]
if len(algo) == 0:
logging.error("No Algorithm with name: "+algorithm_name)
elif len(dataset) == 0:
logging.error("No data set with name: "+data_set_name)
else:
input = base_dfs_dir+"snat_datasets/"+dataset[0]
output = base_dfs_dir+"snat_output/"+algorithm_name+"-"+data_set_name+"-"+str(int(time()))
cmd = [hadoop_dir+"bin/hadoop","jar","algorithms/"+algo[0][1],algo[0][2],input,output]
logging.info(cmd)
ret = subprocess.call(cmd)
cmd = [hadoop_dir+"bin/hadoop","dfs","-cat",output+"/part-r-00000"]
ret2 = subprocess.check_output(cmd)
return ByteArray.from_string(ret2)
return ByteArray.from_string("fail!")
def test_get_datatype(self):
dt = ByteArray.get_type_name()
self.assertEquals("base64Binary", dt)
dt = ByteArray.get_namespace()
assert dt == ns_xsd
def test_add_to_schema(self):
schema = {}
ByteArray.add_to_schema(schema)
self.assertEquals(0, len(schema.keys()))
