def test_if_feature_consolidation_creates_recent_job_intern():
dataxmllist = []
dataxml = etree.parse('test_divya/samples/11.txt')
dataxmllist.append((dataxml, 'software engineer', '13.txt'))
uni = ['software','engineer']
bi=['software engineer','University of','of California']
result = feature_consolidation(dataxmllist,uni,bi)
eq_('Intern',result[0][2]["jobs"][0])
def test_if_feature_consolidation_creates_degree_information_management():
dataxmllist = []
dataxml = etree.parse('test_divya/samples/13.txt')
dataxmllist.append((dataxml, 'software engineer', '13.txt'))
uni = ['software','engineer', 'intern']
bi=['software engineer','University of','of California']
result = feature_consolidation(dataxmllist,uni,bi)
eq_('Master of Information Management and Systems',result[0][2]["degree"][0])
def test_if_feature_consolidation_creates_employers_names_length_3():
dataxmllist = []
dataxml = etree.parse('test_divya/samples/13.txt')
dataxmllist.append((dataxml, 'software engineer', '13.txt'))
uni = ['software','engineer']
bi=['software engineer','University of','of California']
result = feature_consolidation(dataxmllist,uni,bi)
eq_(3,len(result[0][2]["employers"]))
def test_if_feature_consolidation_creates_list_of_features_of_length_2_for_2_files():
dataxmllist = []
dataxml = etree.parse('test_divya/samples/13.txt')
dataxml1 = etree.parse('test_divya/samples/11.txt')
dataxmllist.append((dataxml, 'software engineer', '13.txt'))
dataxmllist.append((dataxml1,'researcher','11,txt'))
uni = ['software','engineer','intern','java','c', 'responsible']
bi=['software engineer','University of','of California']
result = feature_consolidation(dataxmllist,uni,bi)
eq_(2,len(result))