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-rw-r--r--tests/test_tableflow.py138
1 files changed, 94 insertions, 44 deletions
diff --git a/tests/test_tableflow.py b/tests/test_tableflow.py
index fd52525..c53437b 100644
--- a/tests/test_tableflow.py
+++ b/tests/test_tableflow.py
@@ -2,21 +2,39 @@ import pytest
import qolab.tableflow as tblfl
import pandas as pd
+
def test_table_load_noinputs():
assert tblfl.loadInOutTables() == (None, None)
- assert tblfl.loadInOutTables(inputFileName=None, outputFileName="non_existing_file") == (None, None)
+ assert tblfl.loadInOutTables(
+ inputFileName=None, outputFileName="non_existing_file"
+ ) == (None, None)
+
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='%')
+ tblfl.loadInOutTables(
+ inputFileName="tests/tableflow_test_data/tableIn1.csv",
+ outputFileName=None,
+ comment="%",
+ )
+
def test_right_comment_in_table_file_to_load():
- tIn,tOut = tblfl.loadInOutTables(inputFileName='tests/tableflow_test_data/tableIn1.csv', outputFileName=None, comment='#')
+ tIn, tOut = tblfl.loadInOutTables(
+ inputFileName="tests/tableflow_test_data/tableIn1.csv",
+ outputFileName=None,
+ comment="#",
+ )
assert type(tIn) == pd.core.frame.DataFrame
+
def test_table_equality_with_no_output_file_name():
- tIn,tOut = tblfl.loadInOutTables(inputFileName='tests/tableflow_test_data/tableIn1.csv', outputFileName=None, comment='#')
+ 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)
@@ -25,92 +43,124 @@ def test_table_equality_with_no_output_file_name():
tIn.at[0, col0] = vBefore + 1
assert not tIn.equals(tOut)
+
def test_table_load_with_in_out_file_names():
# different filenames, same content for ease of testing
- tIn,tOut = tblfl.loadInOutTables(inputFileName='tests/tableflow_test_data/tableIn1.csv', outputFileName='tests/tableflow_test_data/tableOut1nonProcessed.csv', comment='#')
+ 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)
# different filenames, different content
- tIn,tOut = tblfl.loadInOutTables(inputFileName='tests/tableflow_test_data/tableIn1.csv', outputFileName='tests/tableflow_test_data/tableOut1pariallyProcessed.csv', comment='#')
+ tIn, tOut = tblfl.loadInOutTables(
+ inputFileName="tests/tableflow_test_data/tableIn1.csv",
+ outputFileName="tests/tableflow_test_data/tableOut1pariallyProcessed.csv",
+ comment="#",
+ )
assert type(tIn) == pd.core.frame.DataFrame
assert type(tOut) == pd.core.frame.DataFrame
assert not tIn.equals(tOut)
- assert 'out1' in tOut.columns
- assert 'out1' not in tIn.columns
+ assert "out1" in tOut.columns
+ assert "out1" not in tIn.columns
+
def test_for_existing_row():
- tbl1 = pd.DataFrame( {'a':[1,2,3], 'b':[1,4,6]})
- r = pd.Series({'a':2, 'b':4})
+ tbl1 = pd.DataFrame({"a": [1, 2, 3], "b": [1, 4, 6]})
+ r = pd.Series({"a": 2, "b": 4})
assert tblfl.ilocRowOrAdd(tbl1, r) == 1
+
def test_for_existing_row_with_NA():
# NA in both table and raw should return a hit
- tbl1 = pd.DataFrame( {'a':[1,2,3], 'b':[1,pd.NA,6]})
- r = pd.Series({'a':2, 'b':pd.NA})
+ tbl1 = pd.DataFrame({"a": [1, 2, 3], "b": [1, pd.NA, 6]})
+ r = pd.Series({"a": 2, "b": pd.NA})
assert tblfl.ilocRowOrAdd(tbl1, r) == 1
# should insert new row
- tbl1 = pd.DataFrame( {'a':[1,2,3], 'b':[1,4,6]})
- r = pd.Series({'a':2, 'b':pd.NA})
+ tbl1 = pd.DataFrame({"a": [1, 2, 3], "b": [1, 4, 6]})
+ r = pd.Series({"a": 2, "b": pd.NA})
assert tblfl.ilocRowOrAdd(tbl1, r) == 3
# should insert new row
- tbl1 = pd.DataFrame( {'a':[1,2,3], 'b':[1,4,6]})
- r = pd.Series({'a':2, 'b':pd.NA})
+ tbl1 = pd.DataFrame({"a": [1, 2, 3], "b": [1, 4, 6]})
+ r = pd.Series({"a": 2, "b": pd.NA})
assert tblfl.ilocRowOrAdd(tbl1, r) == 3
+
def test_for_nonexisting_row_and_its_insertion():
- tbl1 = pd.DataFrame( {'a':[1,2,3], 'b':[1,4,6]})
- r = pd.Series({'a':2, 'b':10})
+ tbl1 = pd.DataFrame({"a": [1, 2, 3], "b": [1, 4, 6]})
+ r = pd.Series({"a": 2, "b": 10})
assert len(tbl1) == 3
assert tblfl.ilocRowOrAdd(tbl1, r) == 3
assert len(tbl1) == 4
+
def test_isRedoNeeded():
- r = pd.Series({'a':2, 'b':4, 'c':pd.NA})
- assert not tblfl.isRedoNeeded(r, ['a','b'])
- assert tblfl.isRedoNeeded(r, ['c'])
- assert tblfl.isRedoNeeded(r, ['non_existing'])
- assert not tblfl.isRedoNeeded(r, ['b', 'c'])
+ r = pd.Series({"a": 2, "b": 4, "c": pd.NA})
+ assert not tblfl.isRedoNeeded(r, ["a", "b"])
+ assert tblfl.isRedoNeeded(r, ["c"])
+ assert tblfl.isRedoNeeded(r, ["non_existing"])
+ assert not tblfl.isRedoNeeded(r, ["b", "c"])
+
def test_reflowTable():
- tIn,tOut = tblfl.loadInOutTables(inputFileName='tests/tableflow_test_data/tableIn1.csv', outputFileName='tests/tableflow_test_data/tableOut1pariallyProcessed.csv', comment='#')
+ tIn, tOut = tblfl.loadInOutTables(
+ inputFileName="tests/tableflow_test_data/tableIn1.csv",
+ outputFileName="tests/tableflow_test_data/tableOut1pariallyProcessed.csv",
+ comment="#",
+ )
tOutRef = tOut.copy()
# check for warnings
with pytest.warns(UserWarning):
- tblfl.reflowTable(tIn,tOut)
-
+ tblfl.reflowTable(tIn, tOut)
+
with pytest.warns(UserWarning):
- tblfl.reflowTable(tIn,tOut,postProcessedColums=['dummyName'])
-
+ tblfl.reflowTable(tIn, tOut, postProcessedColums=["dummyName"])
+
def frow(row):
return row
+
with pytest.warns(UserWarning):
- tblfl.reflowTable(tIn,tOut, process_row_func=frow)
-
+ tblfl.reflowTable(tIn, tOut, process_row_func=frow)
+
# now run reflow
def frow(row, extraInfo=None):
- row['out1'] = row['x']*row['x']
+ row["out1"] = row["x"] * row["x"]
return row
+
assert len(tIn) != len(tOut)
- tblfl.reflowTable(tIn,tOut, process_row_func=frow, postProcessedColums=['out1','out2'])
+ tblfl.reflowTable(
+ tIn, tOut, process_row_func=frow, postProcessedColums=["out1", "out2"]
+ )
assert len(tIn) == len(tOut)
- assert (tOut['out1'] == tOut['x']*tOut['x']).all()
-
+ assert (tOut["out1"] == tOut["x"] * tOut["x"]).all()
+
# check that reflow is done
- tOut.loc[tOut['x']==1, 'out1'] = pd.NA
- tblfl.reflowTable(tIn,tOut, process_row_func=frow, postProcessedColums=['out1','out2'])
- assert (tOut['out1'] == tOut['x']*tOut['x']).all()
+ tOut.loc[tOut["x"] == 1, "out1"] = pd.NA
+ tblfl.reflowTable(
+ tIn, tOut, process_row_func=frow, postProcessedColums=["out1", "out2"]
+ )
+ assert (tOut["out1"] == tOut["x"] * tOut["x"]).all()
# check that reflow is not reprocessed
- tOut.loc[tOut['x']==1, 'out1'] = 12121 # crazy number
- tblfl.reflowTable(tIn,tOut, process_row_func=frow, postProcessedColums=['out1','out2'])
- assert (tOut.loc[tOut['x']==1, 'out1'] == 12121).all() # should not change
+ tOut.loc[tOut["x"] == 1, "out1"] = 12121 # crazy number
+ tblfl.reflowTable(
+ tIn, tOut, process_row_func=frow, postProcessedColums=["out1", "out2"]
+ )
+ assert (tOut.loc[tOut["x"] == 1, "out1"] == 12121).all() # should not change
# now we are forcing redo
- tOut.loc[tOut['x']==1, 'out1'] = 12121 # crazy number
- tblfl.reflowTable(tIn,tOut, process_row_func=frow, postProcessedColums=['out1','out2'], redo=True)
- assert not (tOut.loc[tOut['x']==1, 'out1'] == 12121).all() # must not be the same
- assert (tOut['out1'] == tOut['x']*tOut['x']).all()
+ tOut.loc[tOut["x"] == 1, "out1"] = 12121 # crazy number
+ tblfl.reflowTable(
+ tIn,
+ tOut,
+ process_row_func=frow,
+ postProcessedColums=["out1", "out2"],
+ redo=True,
+ )
+ assert not (tOut.loc[tOut["x"] == 1, "out1"] == 12121).all() # must not be the same
+ assert (tOut["out1"] == tOut["x"] * tOut["x"]).all()
generated by cgit v1.2.3 (git 2.39.1) at 2024-11-16 17:40:10 +0000