def test_jobs_employers_must_equal_3():
xml_file = etree.parse("test_divya/samples/13.txt")
features = xml_features(xml_file)
eq_(3, len(features["employers"]))
eq_(3, len(features["jobs"]))
def test_most_recent_job_is_vp():
xml_file = etree.parse("test_divya/samples/13.txt")
features = xml_features(xml_file)
eq_("VP", features["jobs"][0])
def test_most_recent_employer_is_calcentral():
xml_file = etree.parse("test_divya/samples/13.txt")
features = xml_features(xml_file)
eq_("CalCentral, University of California, Berkeley",
features["employers"][0])
def test_degree_is_information_management():
xml_file = etree.parse("test_divya/samples/13.txt")
features = xml_features(xml_file)
eq_("Master of Information Management and Systems", features["degree"][0])
def test_first_job_is_systems_engineer():
xml_file = etree.parse("test_divya/samples/13.txt")
features = xml_features(xml_file)
eq_("Systems Engineer", features["jobs"][len(features["jobs"]) - 1])
def test_gives_5_features_from_xml():
xml_file = etree.parse("test_divya/samples/13.txt")
features = xml_features(xml_file)
eq_(5, len(features))
def test_institution_is_berkeley():
xml_file = etree.parse("test_divya/samples/13.txt")
features = xml_features(xml_file)
eq_("University of California", features["institution"][0])
def test_most_recent_employer_is_calcentral():
xml_file = etree.parse("test_divya/samples/13.txt")
features = xml_features(xml_file)
eq_("CalCentral, University of California, Berkeley",features["employers"][0])
def test_jobs_employers_must_equal_3():
xml_file = etree.parse("test_divya/samples/13.txt")
features = xml_features(xml_file)
eq_(3,len(features["employers"]))
eq_(3,len(features["jobs"]))
def test_most_recent_job_is_vp():
xml_file = etree.parse("test_divya/samples/13.txt")
features = xml_features(xml_file)
eq_("VP",features["jobs"][0])
def test_first_job_is_systems_engineer():
xml_file = etree.parse("test_divya/samples/13.txt")
features = xml_features(xml_file)
eq_("Systems Engineer",features["jobs"][len(features["jobs"])-1])
def test_degree_is_information_management():
xml_file = etree.parse("test_divya/samples/13.txt")
features = xml_features(xml_file)
eq_("Master of Information Management and Systems",features["degree"][0])
def test_institution_is_berkeley():
xml_file = etree.parse("test_divya/samples/13.txt")
features = xml_features(xml_file)
eq_("University of California",features["institution"][0])
def test_gives_5_features_from_xml():
xml_file = etree.parse("test_divya/samples/13.txt")
features = xml_features(xml_file)
eq_(5,len(features))