def test_convert_significance_results_to_arrows(self):
m,x = _make_matrix()
self._addStatsTestsToMatrix(m)
x.convert_significance_results_to_arrows()
utilities.print_matrix(m)
self.assertEqual(m[0][0].SigTestResult, u'\xea')
print "test_convert_significance_results_to_arrows ", m[0][0].SigTestResult
def test_sort_rows_with_all_options(self):
m, x = _make_matrix()
_by_column = 2
_using_cell_value = 0
_descending = False
_file_name = "utils\\file_name.txt"
if use_test_data == True:
_client_name = "myRow 2"
else:
_client_name = "Somewhat Agree"
_matrix_labels = self._sorting_order_rows(
m,
by_column=_by_column,
using_cell_value=_using_cell_value,
descending=_descending,
file_name=_file_name,
client_name=_client_name)
x.sort_rows(by_column=_by_column,
using_cell_value=_using_cell_value,
descending=_descending,
file_name=_file_name,
client_name=_client_name)
_labels = self._get_labels_from_m_rows(
m,
by_column=_by_column,
using_cell_value=_using_cell_value,
descending=_descending,
file_name=_file_name,
client_name=_client_name)
utilities.print_matrix(m)
print "_labels", _labels
print "_matrix_labels", _matrix_labels
self.assertTrue(_labels.difference(_matrix_labels) == set([]))
print "test_sort_rows_with_all_options", _labels
def insert_category(self,
matrix,
logger,
row_number=0,
column_number=0,
label="",
*args):
"""Insert a column into the Matrix.
:param column_number: position to insert the column. Default = 0
:param label: label for the inserted column. Default = ""
Example:
| tr = transformations.MatrixManipulator(Matrix)
| tr.insert_category(column_number=3, label = "Inserted Column")
"""
if column_number > matrix.TopAxis.DataMembers.Count - 1:
logger("cannot insert category, not enough columns")
return
_member = matrix[0][column_number].TopMember
_name = "new_column" + str(column_number)
_new_column = matrix.InsertBlankColumnAfter(_member, _name, label)
import utils.utilities as utilities
utilities.print_matrix(matrix)
matrix.SwitchColumns(_member.DataIndex, _new_column.DataIndex)
def test_sort_columns_ascending(self):
m, x = _make_matrix()
utilities.print_matrix(m)
_descending = False
x.sort_columns(descending=_descending)
_matrix_labels = self._sorting_order_columns(m, descending=_descending)
_labels = self._get_labels_from_m_columns(m, descending=_descending)
self.assertTrue(_labels.difference(_matrix_labels) == set([]))
print "test_sort_columns_ascending", _labels
def test_get_category_labels_failure(self):
m, x = make_matrix()
_matrix_labels = [col.TopMember.Label for col in m[0]]
#add failure scenario to matrix
m.DeleteColumn(0)
_labels = x.get_category_labels()
with self.assertRaises(AssertionError):
self.assertEqual(_labels, _matrix_labels)
print "test_get_category_labels_failure - col0 missing:"
utilities.print_matrix(m)
def test_sort_columns_nets_client_name(self):
global mtd_filepath
mtd_filepath = os.path.abspath(os.path.join('utils\\SmokeTest_v3.mtd'))
table_selected = 86
print ""
print "This regression test is run using DATA Containing Nets"
print ""
m, x = _make_matrix(table_selected=table_selected)
_sort_row = 0
_using_cell_value = 0
_descending = True
_file_name = None
_client_name = "25-34 years"
_matrix_labels = self._sorting_order_columns(
m,
by_row=_sort_row,
using_cell_value=_using_cell_value,
descending=_descending,
file_name=_file_name,
client_name=_client_name)
x.sort_columns(m,
by_row=_sort_row,
using_cell_value=_using_cell_value,
descending=_descending,
file_name=_file_name,
client_name=_client_name)
_labels = self._get_labels_from_m_columns(
m,
by_row=_sort_row,
using_cell_value=_using_cell_value,
descending=_descending,
file_name=_file_name,
client_name=_client_name)
#print "test_sort_columns_default", _labels
#print "_matrix_labels", _matrix_labels
self.assertTrue(_labels.difference(_matrix_labels) == set([]))
print "test_sort_rows_nets_client_name", _labels
utilities.print_matrix(m)