File not found error for loss

Author: aditya0by0

chebai/preprocessing/datasets/base.py

@@ -96,9 +96,9 @@ def __init__(
         self.prediction_kind = prediction_kind
         self.data_limit = data_limit
         self.label_filter = label_filter
-        assert (balance_after_filter is not None) or (
-            self.label_filter is None
-        ), "Filter balancing requires a filter"
+        assert (balance_after_filter is not None) or (self.label_filter is None), (
+            "Filter balancing requires a filter"
+        )
         self.balance_after_filter = balance_after_filter
         self.num_workers = num_workers
         self.persistent_workers: bool = bool(persistent_workers)
@@ -108,13 +108,13 @@ def __init__(
         self.use_inner_cross_validation = (
             inner_k_folds > 1
         )  # only use cv if there are at least 2 folds
-        assert (
-            fold_index is None or self.use_inner_cross_validation is not None
-        ), "fold_index can only be set if cross validation is used"
+        assert fold_index is None or self.use_inner_cross_validation is not None, (
+            "fold_index can only be set if cross validation is used"
+        )
         if fold_index is not None and self.inner_k_folds is not None:
-            assert (
-                fold_index < self.inner_k_folds
-            ), "fold_index can't be larger than the total number of folds"
+            assert fold_index < self.inner_k_folds, (
+                "fold_index can't be larger than the total number of folds"
+            )
         self.fold_index = fold_index
         self._base_dir = base_dir
         self.n_token_limit = n_token_limit
@@ -137,9 +137,9 @@ def num_of_labels(self):
 
     @property
     def feature_vector_size(self):
-        assert (
-            self._feature_vector_size is not None
-        ), "size of feature vector must be set"
+        assert self._feature_vector_size is not None, (
+            "size of feature vector must be set"
+        )
         return self._feature_vector_size
 
     @property
@@ -1173,9 +1173,7 @@ def _retrieve_splits_from_csv(self) -> None:
         splits_df = pd.read_csv(self.splits_file_path)
 
         filename = self.processed_file_names_dict["data"]
-        data = self.load_processed_data_from_file(
-            os.path.join(self.processed_dir, filename)
-        )
+        data = self.load_processed_data_from_file(filename)
         df_data = pd.DataFrame(data)
 
         if self.apply_id_filter:
@@ -1255,7 +1253,9 @@ def load_processed_data(
         return self.load_processed_data_from_file(filename)
 
     def load_processed_data_from_file(self, filename):
-        return torch.load(os.path.join(filename), weights_only=False)
+        return torch.load(
+            os.path.join(self.processed_dir, filename), weights_only=False
+        )
 
     # ------------------------------ Phase: Raw Properties -----------------------------------
     @property

chebai/preprocessing/datasets/chebi.py

@@ -144,9 +144,9 @@ def __init__(
         **kwargs,
     ):
         if bool(augment_smiles):
-            assert (
-                int(aug_smiles_variations) > 0
-            ), "Number of variations must be greater than 0"
+            assert int(aug_smiles_variations) > 0, (
+                "Number of variations must be greater than 0"
+            )
             aug_smiles_variations = int(aug_smiles_variations)
 
             if not kwargs.get("splits_file_path", None):
@@ -516,9 +516,7 @@ def _get_data_splits(self) -> tuple[pd.DataFrame, pd.DataFrame, pd.DataFrame]:
         """
         try:
             filename = self.processed_file_names_dict["data"]
-            data_chebi_version = self.load_processed_data_from_file(
-                os.path.join(self.processed_dir, filename)
-            )
+            data_chebi_version = self.load_processed_data_from_file(filename)
         except FileNotFoundError:
             raise FileNotFoundError(
                 "File data.pt doesn't exists. "