adding tests for the loading with split method in csv_loader

bin/src/data/csv.py

@@ -35,7 +35,7 @@ class CsvLoader(CsvHandler): # change to CsvHandler
 
     def __init__(self, experiment: Any, csv_path: str, split: Union[int, None] = None) -> None:
         super().__init__(experiment, csv_path)
-        if split:
+        if split is not None:
             # if split is present, we defined the prefered load method to be the load_csv_per_split method with default argument split
             prefered_load_method = partial(self.load_csv_per_split, split=split)
         else:
@@ -55,10 +55,10 @@ def load_csv_per_split(self, csv_path: str, split: int) -> pl.DataFrame:
         """
         data = pl.read_csv(csv_path)
         # check that the selected split value is present in the column split:meta:int
-        if split not in data.column("split:meta:int").unique().to_list():
-            raise ValueError(f"The split value {split} is not present in the column split:meta:int. The available values are {data.column('split:meta:int').unique().to_list()}")
+        if split not in data["split:meta:int"].unique().to_list():
+            raise ValueError(f"The split value {split} is not present in the column split:meta:int. The available values are {data['split:meta:int'].unique().to_list()}")
 
-        return data.filter(data.column("split:meta:int") == split)
+        return data.filter(data["split:meta:int"] == split)
 
     def get_and_encode(self, dictionary: dict, idx: Any) -> dict:
         """

bin/tests/test_csv.py

@@ -7,6 +7,7 @@ class TestDnaToFloatCsvLoader(unittest.TestCase):
 
     def setUp(self):
         self.csv_loader = CsvLoader(DnaToFloatExperiment(), os.path.abspath("bin/tests/test_data/test.csv"))
+        self.csv_loader_split = CsvLoader(DnaToFloatExperiment(), os.path.abspath("bin/tests/test_data/test_with_split.csv"), split=0)
 
     def test_get_encoded_item_unique(self):
         """ 
@@ -69,4 +70,16 @@ def test_get_encoded_item_multiple(self):
 
     def test_len(self):
         self.assertEqual(len(self.csv_loader), 2)
+
+    def test_load_with_split(self):
+        # try loading with different split values, should run with 0,1 and 2 and raise an error for other values
+        self.csv_loader_split = CsvLoader(DnaToFloatExperiment(), os.path.abspath("bin/tests/test_data/test_with_split.csv"), split=0)
+        # self.csv_loader_split.input['hello'] should have only one value 
+        self.assertEqual(len(self.csv_loader_split.input['hello:dna']), 1)
+        self.csv_loader_split = CsvLoader(DnaToFloatExperiment(), os.path.abspath("bin/tests/test_data/test_with_split.csv"), split=1)
+        self.csv_loader_split = CsvLoader(DnaToFloatExperiment(), os.path.abspath("bin/tests/test_data/test_with_split.csv"), split=2)
+        with self.assertRaises(ValueError): # should raise an error
+            self.csv_loader_split = CsvLoader(DnaToFloatExperiment(), os.path.abspath("bin/tests/test_data/test_with_split.csv"), split=3)
+
+