2 files changed, 24 insertions, 5 deletions
diff --git a/tests/tableflow_test_data/tableOut1nonProcessed.csv b/tests/tableflow_test_data/tableOut1nonProcessed.csv
new file mode 100644
index 0000000..a3bda44
--- /dev/null
+++ b/tests/tableflow_test_data/tableOut1nonProcessed.csv
@@ -0,0 +1,8 @@
+# this is comment line1
+# this is comment line2
+# make sure that the very first column has numbers in it
+x,y,z
+1,2,3
+2,3,4
+4,5,6
+
diff --git a/tests/test_tableflow.py b/tests/test_tableflow.py
index 6b16046..9d6bb3e 100644
--- a/tests/test_tableflow.py
+++ b/tests/test_tableflow.py
@@ -2,23 +2,34 @@ import pytest
 import qolab.tableflow as tblfl
 import pandas as pd
 
-def test_noinputs():
+def test_table_load_noinputs():
     assert tblfl.loadInOutTables() == (None, None)
     assert tblfl.loadInOutTables(inputFileName=None, outputFileName="non_existing_file") == (None, None)
 
-def test_wrong_comment():
+def test_wrong_comment_in_table_file_to_load():
     with pytest.raises(Exception) as exc_info:
         # should raise ParserError
         tblfl.loadInOutTables(inputFileName='tests/tableflow_test_data/tableIn1.csv', outputFileName=None, comment='%')
 
-def test_right_comment():
+def test_right_comment_in_table_file_to_load():
     tIn,tOut = tblfl.loadInOutTables(inputFileName='tests/tableflow_test_data/tableIn1.csv', outputFileName=None, comment='#')
     assert type(tIn) == pd.core.frame.DataFrame
 
-def test_right_comment():
+def test_table_equality_with_no_output_file_name():
     tIn,tOut = tblfl.loadInOutTables(inputFileName='tests/tableflow_test_data/tableIn1.csv', outputFileName=None, comment='#')
     assert type(tIn) == pd.core.frame.DataFrame
-
+    assert type(tOut) == pd.core.frame.DataFrame
+    assert tIn.equals(tOut)
+    col0 = tIn.keys()[0]
+    vBefore = tIn.at[0, col0]
+    tIn.at[0, col0] = vBefore + 1
+    assert not tIn.equals(tOut)
+
+def test_table_load_with_in_out_file_names():
+    tIn,tOut = tblfl.loadInOutTables(inputFileName='tests/tableflow_test_data/tableIn1.csv', outputFileName='tests/tableflow_test_data/tableOut1nonProcessed.csv', comment='#')
+    assert type(tIn) == pd.core.frame.DataFrame
+    assert type(tOut) == pd.core.frame.DataFrame
+    assert tIn.equals(tOut)
 
 def test_for_existing_row():
     tbl1 = pd.DataFrame( {'a':[1,2,3], 'b':[1,4,6]})