def test_correct_num_points_for_10pt_curves(self, mock_input1, mock_input2): df_result = spr_setup_sheet() df_result = df_result[df_result['BRD'] == 'BRD-6261_1'] self.assertEqual(12, len(df_result))
def test_correct_BRD_format(self, mock_input1, mock_input2): """ Test that confirms that the length of the BRD's are truncated to 10 characters. """ df_result = spr_setup_sheet() self.assertEqual(10, len(str(df_result.iloc[1]['BRD'])))
def test_spr_setup_sheet_method_input(self, mock_input1, mock_input2): """ Test that confirms that the a DataFrame is returned from spr setup sheet method. """ result = spr_setup_sheet() self.assertEqual(result.__class__, pd.DataFrame)
def test_correct_order_and_calc_off_concentrations(self, mock_input1, mock_input2): """ Using the test setup tbl verify that the correct concentrations are calculated and sorted given different starting concentrations. """ ls_corr = [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0390625, 0.0390625, 0.0390625, 0.0390625, 0.0390625, 0.0390625, 0.0390625, 0.0390625, 0.0390625, 0.078125, 0.078125, 0.078125, 0.078125, 0.078125, 0.078125, 0.078125, 0.078125, 0.078125, 0.09765625, 0.09765625, 0.15625, 0.15625, 0.15625, 0.15625, 0.15625, 0.15625, 0.15625, 0.15625, 0.15625, 0.1953125, 0.1953125, 0.1953125, 0.1953125, 0.1953125, 0.1953125, 0.1953125, 0.3125, 0.3125, 0.3125, 0.3125, 0.3125, 0.3125, 0.3125, 0.3125, 0.3125, 0.390625, 0.390625, 0.390625, 0.390625, 0.390625, 0.390625, 0.390625, 0.625, 0.625, 0.625, 0.625, 0.625, 0.625, 0.625, 0.625, 0.625, 0.78125, 0.78125, 0.78125, 0.78125, 0.78125, 0.78125, 0.78125, 1.25, 1.25, 1.25, 1.25, 1.25, 1.25, 1.25, 1.25, 1.25, 1.5625, 1.5625, 1.5625, 1.5625, 1.5625, 1.5625, 1.5625, 2.5, 2.5, 2.5, 2.5, 2.5, 2.5, 2.5, 2.5, 2.5, 3.125, 3.125, 3.125, 3.125, 3.125, 3.125, 3.125, 5.0, 5.0, 5.0, 5.0, 5.0, 5.0, 5.0, 5.0, 5.0, 6.25, 6.25, 6.25, 6.25, 6.25, 6.25, 6.25, 10.0, 10.0, 10.0, 10.0, 10.0, 10.0, 10.0, 10.0, 10.0, 12.5, 12.5, 12.5, 12.5, 12.5, 12.5, 12.5, 20.0, 20.0, 20.0, 20.0, 20.0, 20.0, 20.0, 20.0, 20.0, 25.0, 25.0, 25.0, 25.0, 25.0, 25.0, 25.0, 50.0, 50.0, 50.0, 50.0, 50.0, 50.0, 50.0, 100.0, 100.0, 100.0, 100.0, 100.0 ] df_result = spr_setup_sheet() df_result = df_result.loc[:, 'CONC'] self.assertEqual(ls_corr, list(df_result))
def test_correct_column_headers(self, monkeypatch, mock_input2): """ :return: """ expected_headers = ['BRD', 'MW', 'CONC', 'BAR'] df_result = spr_setup_sheet() self.assertEqual(expected_headers, list(df_result.columns))
def test_correct_3_fold_dilution_6_pts(self, mock_input1, mock_input2): ls_corr = [ 0.0, 0.0, 0.20576131687242802, 0.617283950617284, 1.851851851851852, 5.555555555555556, 16.666666666666668, 50.0 ] df_result = spr_setup_sheet() df_result = df_result[df_result['BRD'] == 'BRD-4351_3'] con_series = list(df_result.loc[:, 'CONC']) self.assertEqual(ls_corr, con_series)
def test_correct_two_fold_dilution_10_pts(self, mock_input1, mock_input2): ls_corr = [ 0, 0, 0.09765625, 0.1953125, 0.390625, 0.78125, 1.5625, 3.125, 6.25, 12.5, 25, 50 ] df_result = spr_setup_sheet() df_result = df_result[df_result['BRD'] == 'BRD-6261_1'] con_series = list(df_result.loc[:, 'CONC']) self.assertEqual(ls_corr, con_series)
def test_two_zero_conc_points_first_cmpd(self, mock_input1, mock_input2): """ Test to verify that the first to concentration points are zero """ df_result = spr_setup_sheet() zero_one = df_result.iloc[1]['CONC'] zero_two = df_result.iloc[1]['CONC'] self.assertEqual(0, zero_one) self.assertEqual(0, zero_two)
def test_correct_1pt5_fold_dilution_8_pts(self, mock_input1, mock_input2): ls_corr = [ 0.0, 0.0, 2.9263831732967542, 4.389574759945131, 6.584362139917697, 9.876543209876544, 14.814814814814817, 22.222222222222225, 33.333333333333336, 50.0 ] df_result = spr_setup_sheet() df_result = df_result[df_result['BRD'] == 'BRD-4350_2'] con_series = list(df_result.loc[:, 'CONC']) self.assertEqual(ls_corr, con_series)
def test_correct_output_barcodes(self, mock_input1, mock_input2): """ Test to verify that the barcodes for the output file are in the correct order. """ ls_corr = [ 1172907815, 1196291078, 1196291070, 1196293322, 1196293323, 1196293331, 1196293339, 1196293347, 1196293324, 1196291038, 1172907815, 1196291030, 1196291046, 1196291062, 1196291022, 1196291054, 1172907815, 1196291078, 1196291070, 1196293322, 1196293323, 1196293331, 1196293339, 1196293347, 1196293324, 1196291038, 1172907815, 1196291030, 1196291046, 1196291062, 1196291022, 1196291054, 1196291078, 1196291070, 1196293322, 1196293323, 1196293331, 1196293339, 1196293347, 1196293324, 1196291038, 1196291078, 1196291070, 1196293322, 1196293323, 1196293331, 1196293339, 1196293347, 1196293324, 1196291038, 1172907815, 1172907815, 1196291078, 1196291070, 1196293322, 1196293323, 1196293331, 1196293339, 1196293347, 1196293324, 1196291038, 1172907815, 1172907815, 1196291030, 1196291046, 1196291062, 1196291022, 1196291054, 1196291078, 1196291070, 1196293322, 1196293323, 1196293331, 1196293339, 1196293347, 1196293324, 1196291038, 1172907815, 1172907815, 1196291030, 1196291046, 1196291062, 1196291022, 1196291054, 1196291078, 1196291070, 1196293322, 1196293323, 1196293331, 1196293339, 1196293347, 1196293324, 1196291038, 1172907815, 1172907815, 1196291030, 1196291046, 1196291062, 1196291022, 1196291054, 1196291078, 1196291070, 1196293322, 1196293323, 1196293331, 1196293339, 1196293347, 1196293324, 1196291038, 1172907815, 1172907815, 1196291030, 1196291046, 1196291062, 1196291022, 1196291054, 1196291078, 1196291070, 1196293322, 1196293323, 1196293331, 1196293339, 1196293347, 1196293324, 1196291038, 1172907815, 1172907815, 1196291030, 1196291046, 1196291062, 1196291022, 1196291054, 1196291078, 1196291070, 1196293322, 1196293323, 1196293331, 1196293339, 1196293347, 1196293324, 1196291038, 1172907815, 1172907815, 1196291030, 1196291046, 1196291062, 1196291022, 1196291054, 1196291078, 1196291070, 1196293322, 1196293323, 1196293331, 1196293339, 1196293347, 1196293324, 1196291038, 1172907815, 1172907815, 1196291030, 1196291046, 1196291062, 1196291022, 1196291054, 1196291078, 1196291070, 1196293322, 1196293323, 1196293331, 1196293339, 1196293347, 1196293324, 1196291038, 1172907815, 1172907815, 1196291030, 1196291046, 1196291062, 1196291022, 1196291054, 1172907815, 1172907815, 1196291030, 1196291046, 1196291062, 1196291022, 1196291054, 1196291030, 1196291046, 1196291062, 1196291022, 1196291054 ] df_result = spr_setup_sheet() df_result = df_result.loc[:, 'BAR'] self.assertEqual(ls_corr, list(df_result))
def test_correct_cmpd_order(self, mock_input1, mock_input2): """ Test to verify that the compounds have been sorted correctly """ ls_corr = [ 'BRD-6261_1', 'BRD-4350_2', 'BRD-4351_3', 'BRD-4580_4', 'BRD-4582_5', 'BRD-4581_6', 'BRD-4583_7', 'BRD-4585_8', 'BRD-4584_9', 'BRD-4344_10', 'BRD-6261_11', 'BRD-4340_12', 'BRD-4341_13', 'BRD-4349_14', 'BRD-4348_15', 'BRD-4345_16' ] df_result = spr_setup_sheet() self.assertEqual(ls_corr, list(df_result.iloc[0:16]['BRD']))
from script_spr_setup_file.Create_SPR_setup_file import spr_setup_sheet if __name__ == '__main__': spr_setup_sheet()