diff --git a/.gitignore b/.gitignore
index 6c1cfb9b..67ec4c67 100644
--- a/.gitignore
+++ b/.gitignore
@@ -6,6 +6,8 @@ data/GDSC1
 data/GDSC2
 data/CCLE
 data/Toy_Data
+data/CTRPv1
+data/CTRPv2
 
 # Byte-compiled / optimized / DLL files
 __pycache__/
diff --git a/create_report.py b/create_report.py
index a38ce223..97ed1c31 100644
--- a/create_report.py
+++ b/create_report.py
@@ -267,8 +267,10 @@ def draw_per_grouping_algorithm_plots(
 if __name__ == "__main__":
     parser = argparse.ArgumentParser(description="Generate reports from evaluation results")
     parser.add_argument("--run_id", required=True, help="Run ID for the current execution")
+    parser.add_argument("--dataset", required=True, help="Dataset name for which to render the result file")
     args = parser.parse_args()
     run_id = args.run_id
+    dataset = args.dataset
 
     # assert that the run_id folder exists
     if not os.path.exists(f"results/{run_id}"):
@@ -280,7 +282,7 @@ def draw_per_grouping_algorithm_plots(
         evaluation_results_per_drug,
         evaluation_results_per_cell_line,
         true_vs_pred,
-    ) = parse_results(path_to_results=f"results/{run_id}")
+    ) = parse_results(path_to_results=f"results/{run_id}", dataset=dataset)
 
     # part of pipeline: EVALUATE_FINAL, COLLECT_RESULTS
     (
diff --git a/docs/requirements.txt b/docs/requirements.txt
index a5ccf32c..b59bc675 100644
--- a/docs/requirements.txt
+++ b/docs/requirements.txt
@@ -1,4 +1,4 @@
 sphinx-autobuild==2024.10.3 ; python_version >= "3.11" and python_version < "3.13"
-sphinx-autodoc-typehints==3.0.1 ; python_version >= "3.11" and python_version < "3.13"
+sphinx-autodoc-typehints==3.1.0 ; python_version >= "3.11" and python_version < "3.13"
 sphinx-click==6.0.0 ; python_version >= "3.11" and python_version < "3.13"
 sphinx-rtd-theme==3.0.2 ; python_version >= "3.11" and python_version < "3.13"
diff --git a/drevalpy/datasets/dataset.py b/drevalpy/datasets/dataset.py
index bef2fa06..9f13dd19 100644
--- a/drevalpy/datasets/dataset.py
+++ b/drevalpy/datasets/dataset.py
@@ -55,7 +55,7 @@ def from_csv(
         - response:         the drug response values as floating point values
         - cell_line_ids:    a string identifier for cell lines
         - drug_ids:         a string identifier for drugs
-        - predictions:      an optional column containing a predicted value TODO what exactly?
+        - predictions:      an optional column containing drug response predictions
 
         :param input_file: Path to the csv file containing the data to be loaded
         :param dataset_name: Optional name to associate the dataset with, default = "unknown"
@@ -64,6 +64,8 @@ def from_csv(
         :returns: DrugResponseDataset object containing data from provided csv file.
         """
         data = pd.read_csv(input_file)
+        data["drug_id"] = data["drug_id"].astype(str)
+
         if "predictions" in data.columns:
             predictions = data["predictions"].values
         else:
@@ -152,9 +154,9 @@ def __init__(
         """
         super().__init__()
         if len(response) != len(cell_line_ids):
-            raise AssertionError("Response and cell_line_ids have different lengths.")
+            raise AssertionError("Response and cell line identifiers have different lengths.")
         if len(response) != len(drug_ids):
-            raise AssertionError("Response and drug_ids have different lengths.")
+            raise AssertionError("Response and drug identifiers have different lengths.")
         if predictions is not None and len(response) != len(predictions):
             raise AssertionError("Response and predictions have different lengths.")
         self._response = response
diff --git a/drevalpy/datasets/loader.py b/drevalpy/datasets/loader.py
index f8537e8a..1ecf92e6 100644
--- a/drevalpy/datasets/loader.py
+++ b/drevalpy/datasets/loader.py
@@ -9,13 +9,13 @@
 from ..pipeline_function import pipeline_function
 from .curvecurator import fit_curves
 from .dataset import DrugResponseDataset
-from .utils import download_dataset
+from .utils import CELL_LINE_IDENTIFIER, DRUG_IDENTIFIER, download_dataset
 
 
 def load_gdsc1(
     path_data: str = "data",
-    measure: str = "LN_IC50",
-    file_name: str = "response_GDSC1.csv",
+    measure: str = "LN_IC50_curvecurator",
+    file_name: str = "GDSC1.csv",
     dataset_name: str = "GDSC1",
 ) -> DrugResponseDataset:
     """
@@ -32,18 +32,18 @@ def load_gdsc1(
     if not os.path.exists(path):
         download_dataset(dataset_name, path_data, redownload=True)
 
-    response_data = pd.read_csv(path)
-    response_data["DRUG_NAME"] = response_data["DRUG_NAME"].str.replace(",", "")
+    response_data = pd.read_csv(path, dtype={"pubchem_id": str})
+    response_data[DRUG_IDENTIFIER] = response_data[DRUG_IDENTIFIER].str.replace(",", "")
 
     return DrugResponseDataset(
         response=response_data[measure].values,
-        cell_line_ids=response_data["CELL_LINE_NAME"].values,
-        drug_ids=response_data["DRUG_NAME"].values,
+        cell_line_ids=response_data[CELL_LINE_IDENTIFIER].values,
+        drug_ids=response_data[DRUG_IDENTIFIER].values,
         dataset_name=dataset_name,
     )
 
 
-def load_gdsc2(path_data: str = "data", measure: str = "LN_IC50", file_name: str = "response_GDSC2.csv"):
+def load_gdsc2(path_data: str = "data", measure: str = "LN_IC50_curvecurator", file_name: str = "GDSC2.csv"):
     """
     Loads the GDSC2 dataset.
 
@@ -57,7 +57,7 @@ def load_gdsc2(path_data: str = "data", measure: str = "LN_IC50", file_name: str
 
 
 def load_ccle(
-    path_data: str = "data", measure: str = "LN_IC50", file_name: str = "response_CCLE.csv"
+    path_data: str = "data", measure: str = "LN_IC50_curvecurator", file_name: str = "CCLE.csv"
 ) -> DrugResponseDataset:
     """
     Loads the CCLE dataset.
@@ -73,18 +73,18 @@ def load_ccle(
     if not os.path.exists(path):
         download_dataset(dataset_name, path_data, redownload=True)
 
-    response_data = pd.read_csv(path)
-    response_data["DRUG_NAME"] = response_data["DRUG_NAME"].str.replace(",", "")
+    response_data = pd.read_csv(path, dtype={"pubchem_id": str})
+    response_data[DRUG_IDENTIFIER] = response_data[DRUG_IDENTIFIER].str.replace(",", "")
 
     return DrugResponseDataset(
         response=response_data[measure].values,
-        cell_line_ids=response_data["CELL_LINE_NAME"].values,
-        drug_ids=response_data["DRUG_NAME"].values,
+        cell_line_ids=response_data[CELL_LINE_IDENTIFIER].values,
+        drug_ids=response_data[DRUG_IDENTIFIER].values,
         dataset_name=dataset_name,
     )
 
 
-def load_toy(path_data: str = "data", measure: str = "response") -> DrugResponseDataset:
+def load_toy(path_data: str = "data", measure: str = "LN_IC50_curvecurator") -> DrugResponseDataset:
     """
     Loads small Toy dataset, subsampled from GDSC1.
 
@@ -94,20 +94,67 @@ def load_toy(path_data: str = "data", measure: str = "response") -> DrugResponse
     :return: DrugResponseDataset containing response, cell line IDs, and drug IDs.
     """
     dataset_name = "Toy_Data"
-    measure = "response"  # overwrite this explicitly to avoid problems, should be changed in the future
     path = os.path.join(path_data, dataset_name, "toy_data.csv")
     if not os.path.exists(path):
         download_dataset(dataset_name, path_data, redownload=True)
-    response_data = pd.read_csv(path)
+    response_data = pd.read_csv(path, dtype={"pubchem_id": str})
 
     return DrugResponseDataset(
         response=response_data[measure].values,
-        cell_line_ids=response_data["cell_line_id"].values,
-        drug_ids=response_data["drug_id"].values,
+        cell_line_ids=response_data[CELL_LINE_IDENTIFIER].values,
+        drug_ids=response_data[DRUG_IDENTIFIER].values,
         dataset_name=dataset_name,
     )
 
 
+def _load_ctrpv(version: str, path_data: str = "data", measure: str = "LN_IC50_curvecurator") -> DrugResponseDataset:
+    """
+    Load CTRPv1 dataset.
+
+    :param version: The version of the CTRP dataset to load.
+    :param path_data: Path to location of CTRPv1 dataset
+    :param measure: The name of the column containing the measure to predict, default = "response"
+
+    :return: DrugResponseDataset containing response, cell line IDs, and drug IDs
+    """
+    dataset_name = "CTRPv" + version
+    path = os.path.join(path_data, dataset_name, f"{dataset_name}.csv")
+    if not os.path.exists(path):
+        download_dataset(dataset_name, path_data, redownload=True)
+    response_data = pd.read_csv(path, dtype={"pubchem_id": str})
+
+    return DrugResponseDataset(
+        response=response_data[measure].values,
+        cell_line_ids=response_data[CELL_LINE_IDENTIFIER].values,
+        drug_ids=response_data[DRUG_IDENTIFIER].values,
+        dataset_name=dataset_name,
+    )
+
+
+def load_ctrpv1(path_data: str = "data", measure: str = "LN_IC50_curvecurator") -> DrugResponseDataset:
+    """
+    Load CTRPv2 dataset.
+
+    :param path_data: Path to location of CTRPv2 dataset
+    :param measure: The name of the column containing the measure to predict, default = "LN_IC50_curvecurator"
+
+    :return: DrugResponseDataset containing response, cell line IDs, and drug IDs
+    """
+    return _load_ctrpv("1", path_data, measure)
+
+
+def load_ctrpv2(path_data: str = "data", measure: str = "LN_IC50_curvecurator") -> DrugResponseDataset:
+    """
+    Load CTRPv2 dataset.
+
+    :param path_data: Path to location of CTRPv2 dataset
+    :param measure: The name of the column containing the measure to predict, default: LN_IC50_curvecurator
+
+    :return: DrugResponseDataset containing response, cell line IDs, and drug IDs
+    """
+    return _load_ctrpv("2", path_data, measure)
+
+
 def load_custom(path_data: str | Path, measure: str = "response") -> DrugResponseDataset:
     """
     Load custom dataset.
@@ -125,6 +172,8 @@ def load_custom(path_data: str | Path, measure: str = "response") -> DrugRespons
     "GDSC2": load_gdsc2,
     "CCLE": load_ccle,
     "Toy_Data": load_toy,
+    "CTRPv1": load_ctrpv1,
+    "CTRPv2": load_ctrpv2,
 }
 
 
diff --git a/drevalpy/datasets/utils.py b/drevalpy/datasets/utils.py
index 254e914b..28a0d5cd 100644
--- a/drevalpy/datasets/utils.py
+++ b/drevalpy/datasets/utils.py
@@ -9,6 +9,9 @@
 import numpy as np
 import requests
 
+DRUG_IDENTIFIER = "pubchem_id"
+CELL_LINE_IDENTIFIER = "cell_line_name"
+
 
 def download_dataset(
     dataset_name: str,
@@ -26,18 +29,18 @@ def download_dataset(
     file_name = f"{dataset_name}.zip"
     file_path = Path(data_path) / file_name
     extracted_folder_path = file_path.with_suffix("")
-
+    timeout = 120
     # Check if the extracted data exists and skip download if not redownloading
     if extracted_folder_path.exists() and not redownload:
         print(f"{dataset_name} is already extracted, skipping download.")
     else:
         url = "https://zenodo.org/doi/10.5281/zenodo.12633909"
         # Fetch the latest record
-        response = requests.get(url, timeout=60)
+        response = requests.get(url, timeout=timeout)
         if response.status_code != 200:
             raise requests.exceptions.HTTPError(f"Error fetching record: {response.status_code}")
         latest_url = response.links["linkset"]["url"]
-        response = requests.get(latest_url, timeout=60)
+        response = requests.get(latest_url, timeout=timeout)
         if response.status_code != 200:
             raise requests.exceptions.HTTPError(f"Error fetching record: {response.status_code}")
         data = response.json()
@@ -50,7 +53,7 @@ def download_dataset(
         file_url = name_to_url[file_name]
         # Download the file
         print(f"Downloading {dataset_name} from {file_url}...")
-        response = requests.get(file_url, timeout=60)
+        response = requests.get(file_url, timeout=timeout)
         if response.status_code != 200:
             raise requests.exceptions.HTTPError(f"Error downloading file {dataset_name}: " f"{response.status_code}")
 
@@ -61,7 +64,7 @@ def download_dataset(
         with zipfile.ZipFile(file_path, "r") as z:
             for member in z.infolist():
                 if not member.filename.startswith("__MACOSX/"):
-                    z.extract(member, os.path.join(data_path, dataset_name))
+                    z.extract(member, os.path.join(data_path))
         file_path.unlink()  # Remove zip file after extraction
 
         print(f"{dataset_name} data downloaded and extracted to {data_path}")
diff --git a/drevalpy/models/SimpleNeuralNetwork/hyperparameters.yaml b/drevalpy/models/SimpleNeuralNetwork/hyperparameters.yaml
index abd34123..3fbaa559 100644
--- a/drevalpy/models/SimpleNeuralNetwork/hyperparameters.yaml
+++ b/drevalpy/models/SimpleNeuralNetwork/hyperparameters.yaml
@@ -22,6 +22,8 @@ SimpleNeuralNetwork:
       - 128
       - 64
       - 16
+  max_epochs:
+    - 100
 
 MultiOmicsNeuralNetwork:
   dropout_prob:
@@ -44,3 +46,5 @@ MultiOmicsNeuralNetwork:
       - 32
   methylation_pca_components:
     - 100
+  max_epochs:
+    - 100
diff --git a/drevalpy/models/SimpleNeuralNetwork/multiomics_neural_network.py b/drevalpy/models/SimpleNeuralNetwork/multiomics_neural_network.py
index 8caebc45..ef374534 100644
--- a/drevalpy/models/SimpleNeuralNetwork/multiomics_neural_network.py
+++ b/drevalpy/models/SimpleNeuralNetwork/multiomics_neural_network.py
@@ -110,6 +110,10 @@ def train(
                 cell_line_views=self.cell_line_views,
                 drug_views=self.drug_views,
                 output_earlystopping=output_earlystopping,
+                trainer_params={
+                    "max_epochs": self.hyperparameters.get("max_epochs", 100),
+                    "progress_bar_refresh_rate": 500,
+                },
                 batch_size=16,
                 patience=5,
                 num_workers=1,
diff --git a/drevalpy/models/SimpleNeuralNetwork/simple_neural_network.py b/drevalpy/models/SimpleNeuralNetwork/simple_neural_network.py
index ee8765f0..ed4c015d 100644
--- a/drevalpy/models/SimpleNeuralNetwork/simple_neural_network.py
+++ b/drevalpy/models/SimpleNeuralNetwork/simple_neural_network.py
@@ -105,6 +105,10 @@ def train(
                 cell_line_views=self.cell_line_views,
                 drug_views=self.drug_views,
                 output_earlystopping=output_earlystopping,
+                trainer_params={
+                    "max_epochs": self.hyperparameters.get("max_epochs", 100),
+                    "progress_bar_refresh_rate": 500,
+                },
                 batch_size=16,
                 patience=5,
                 num_workers=1 if platform.system() == "Windows" else 8,
diff --git a/drevalpy/models/SimpleNeuralNetwork/utils.py b/drevalpy/models/SimpleNeuralNetwork/utils.py
index 0a6c5801..50ed7bba 100644
--- a/drevalpy/models/SimpleNeuralNetwork/utils.py
+++ b/drevalpy/models/SimpleNeuralNetwork/utils.py
@@ -180,16 +180,15 @@ def fit(
         :param model_checkpoint_dir: directory to save the model checkpoints
         :raises ValueError: if drug_input is missing
         """
-        if drug_input is None:
-            raise ValueError(
-                "Drug input (fingerprints) are required for SimpleNeuralNetwork and " "MultiOMICsNeuralNetwork."
-            )
-
         if trainer_params is None:
             trainer_params = {
+                "max_epochs": 100,
                 "progress_bar_refresh_rate": 500,
-                "max_epochs": 70,
             }
+        if drug_input is None:
+            raise ValueError(
+                "Drug input (fingerprints) are required for SimpleNeuralNetwork and " "MultiOMICsNeuralNetwork."
+            )
 
         train_dataset = RegressionDataset(
             output=output_train,
diff --git a/drevalpy/models/baselines/hyperparameters.yaml b/drevalpy/models/baselines/hyperparameters.yaml
index cd37b5e7..dc746a68 100644
--- a/drevalpy/models/baselines/hyperparameters.yaml
+++ b/drevalpy/models/baselines/hyperparameters.yaml
@@ -1,7 +1,7 @@
 NaivePredictor:
 NaiveDrugMeanPredictor:
 NaiveCellLineMeanPredictor:
-NaiveANOVAPredictor:
+NaiveMeanEffectsPredictor:
 ElasticNet:
   l1_ratio:
     - 0
diff --git a/drevalpy/models/baselines/naive_pred.py b/drevalpy/models/baselines/naive_pred.py
index 75a50768..5198c54d 100644
--- a/drevalpy/models/baselines/naive_pred.py
+++ b/drevalpy/models/baselines/naive_pred.py
@@ -12,6 +12,7 @@
 import numpy as np
 
 from drevalpy.datasets.dataset import DrugResponseDataset, FeatureDataset
+from drevalpy.datasets.utils import CELL_LINE_IDENTIFIER, DRUG_IDENTIFIER
 from drevalpy.models.drp_model import DRPModel
 from drevalpy.models.utils import load_cl_ids_from_csv, load_drug_ids_from_csv, unique
 
@@ -19,8 +20,8 @@
 class NaivePredictor(DRPModel):
     """Naive predictor model that predicts the overall mean of the response."""
 
-    cell_line_views = ["cell_line_id"]
-    drug_views = ["drug_id"]
+    cell_line_views = [CELL_LINE_IDENTIFIER]
+    drug_views = [DRUG_IDENTIFIER]
 
     def __init__(self):
         """
@@ -109,8 +110,8 @@ def load_drug_features(self, data_path: str, dataset_name: str) -> FeatureDatase
 class NaiveDrugMeanPredictor(DRPModel):
     """Naive predictor model that predicts the mean of the response per drug."""
 
-    cell_line_views = ["cell_line_id"]
-    drug_views = ["drug_id"]
+    cell_line_views = [CELL_LINE_IDENTIFIER]
+    drug_views = [DRUG_IDENTIFIER]
 
     def __init__(self):
         """
@@ -159,7 +160,7 @@ def train(
         """
         if drug_input is None:
             raise ValueError("drug_input (drug_id) is required for the NaiveDrugMeanPredictor.")
-        drug_ids = drug_input.get_feature_matrix(view="drug_id", identifiers=output.drug_ids)
+        drug_ids = drug_input.get_feature_matrix(view=DRUG_IDENTIFIER, identifiers=output.drug_ids)
         self.dataset_mean = np.mean(output.response)
         self.drug_means = {}
 
@@ -226,8 +227,8 @@ def load_drug_features(self, data_path: str, dataset_name: str) -> FeatureDatase
 class NaiveCellLineMeanPredictor(DRPModel):
     """Naive predictor model that predicts the mean of the response per cell line."""
 
-    cell_line_views = ["cell_line_id"]
-    drug_views = ["drug_id"]
+    cell_line_views = [CELL_LINE_IDENTIFIER]
+    drug_views = [DRUG_IDENTIFIER]
 
     def __init__(self):
         """
@@ -274,7 +275,7 @@ def train(
         :param output_earlystopping: not needed
         :param model_checkpoint_dir: not needed
         """
-        cell_line_ids = cell_line_input.get_feature_matrix(view="cell_line_id", identifiers=output.cell_line_ids)
+        cell_line_ids = cell_line_input.get_feature_matrix(view=CELL_LINE_IDENTIFIER, identifiers=output.cell_line_ids)
         self.dataset_mean = np.mean(output.response)
         self.cell_line_means = {}
 
@@ -353,8 +354,8 @@ class NaiveMeanEffectsPredictor(DRPModel):
     This formulation ensures that the overall mean is not counted twice.
     """
 
-    cell_line_views = ["cell_line_id"]
-    drug_views = ["drug_id"]
+    cell_line_views = [CELL_LINE_IDENTIFIER]
+    drug_views = [DRUG_IDENTIFIER]
 
     def __init__(self):
         """
@@ -412,7 +413,7 @@ def train(
         self.dataset_mean = np.mean(output.response)
 
         # Obtain cell line features.
-        cell_line_ids = cell_line_input.get_feature_matrix(view="cell_line_id", identifiers=output.cell_line_ids)
+        cell_line_ids = cell_line_input.get_feature_matrix(view=CELL_LINE_IDENTIFIER, identifiers=output.cell_line_ids)
         cell_line_means = {}
         for cl_output, cl_feature in zip(unique(output.cell_line_ids), unique(cell_line_ids), strict=True):
             responses_cl = output.response[cl_feature == output.cell_line_ids]
@@ -420,7 +421,7 @@ def train(
                 cell_line_means[cl_output] = np.mean(responses_cl)
 
         # Obtain drug features.
-        drug_ids = drug_input.get_feature_matrix(view="drug_id", identifiers=output.drug_ids)
+        drug_ids = drug_input.get_feature_matrix(view=DRUG_IDENTIFIER, identifiers=output.drug_ids)
         drug_means = {}
         for drug_output, drug_feature in zip(unique(output.drug_ids), unique(drug_ids), strict=True):
             responses_drug = output.response[drug_feature == output.drug_ids]
diff --git a/drevalpy/models/baselines/singledrug_elastic_net.py b/drevalpy/models/baselines/singledrug_elastic_net.py
index 2000644d..f6052d60 100644
--- a/drevalpy/models/baselines/singledrug_elastic_net.py
+++ b/drevalpy/models/baselines/singledrug_elastic_net.py
@@ -49,11 +49,7 @@ def train(
         :param drug_input: not needed
         :param output_earlystopping: not needed
         :param model_checkpoint_dir: not needed as checkpoints are not saved
-        :raises ValueError: if drug_input is not None
         """
-        if drug_input is not None:
-            raise ValueError("SingleDrugElasticNet does not support drug_input!")
-
         if len(output) > 0:
             x = self.get_concatenated_features(
                 cell_line_view="gene_expression",
@@ -168,11 +164,7 @@ def train(
         :param drug_input: not needed
         :param output_earlystopping: not needed
         :param model_checkpoint_dir: not needed as checkpoints are not saved
-        :raises ValueError: if drug_input is not None
         """
-        if drug_input is not None:
-            raise ValueError("SingleDrugElasticNet does not support drug_input!")
-
         if len(output) > 0:
             x = self.get_concatenated_features(
                 cell_line_view="proteomics",
diff --git a/drevalpy/models/utils.py b/drevalpy/models/utils.py
index af371531..375c0075 100644
--- a/drevalpy/models/utils.py
+++ b/drevalpy/models/utils.py
@@ -1,12 +1,12 @@
 """Utility functions for loading and processing data."""
 
 import os.path
-import warnings
 
 import numpy as np
 import pandas as pd
 
 from drevalpy.datasets.dataset import FeatureDataset
+from drevalpy.datasets.utils import CELL_LINE_IDENTIFIER, DRUG_IDENTIFIER
 
 
 def load_cl_ids_from_csv(path: str, dataset_name: str) -> FeatureDataset:
@@ -18,7 +18,7 @@ def load_cl_ids_from_csv(path: str, dataset_name: str) -> FeatureDataset:
     :returns: FeatureDataset with the cell line ids
     """
     cl_names = pd.read_csv(f"{path}/{dataset_name}/cell_line_names.csv", index_col=1)
-    return FeatureDataset(features={cl: {"cell_line_id": np.array([cl])} for cl in cl_names.index})
+    return FeatureDataset(features={cl: {CELL_LINE_IDENTIFIER: np.array([cl])} for cl in cl_names.index})
 
 
 def load_and_reduce_gene_features(
@@ -88,17 +88,16 @@ def iterate_features(df: pd.DataFrame, feature_type: str) -> dict[str, dict[str,
     :param feature_type: type of feature, e.g., gene_expression, methylation, etc.
     :returns: dictionary with the features
     """
-    features = {}
+    features: dict[str, dict[str, np.ndarray]] = {}
     for cl in df.index:
+        if cl in features.keys():
+            continue
         rows = df.loc[cl]
-        if len(rows.shape) > 1 and rows.shape[0] > 1:  # multiple rows returned
-            warnings.warn(
-                f"Multiple rows returned for {cl} in feature {feature_type}, taking the first one.", stacklevel=2
-            )
-            rows = rows.iloc[0]
-        # convert to float values
-        rows = rows.astype(float)
-        features[cl] = {feature_type: rows.values}
+        rows = rows.astype(float).to_numpy()
+        if (len(rows.shape) > 1) and (rows.shape[0] > 1):  # multiple rows returned
+            # take mean
+            rows = np.mean(rows, axis=0)
+        features[cl] = {feature_type: rows}
     return features
 
 
@@ -111,24 +110,27 @@ def load_drug_ids_from_csv(data_path: str, dataset_name: str) -> FeatureDataset:
     :returns: FeatureDataset with the drug ids
     """
     drug_names = pd.read_csv(f"{data_path}/{dataset_name}/drug_names.csv", index_col=0)
-    return FeatureDataset(features={drug: {"drug_id": np.array([drug])} for drug in drug_names.index})
+    drug_names.index = drug_names.index.astype(str)
+    return FeatureDataset(features={drug: {DRUG_IDENTIFIER: np.array([drug])} for drug in drug_names.index})
 
 
-def load_drug_fingerprint_features(data_path: str, dataset_name: str) -> FeatureDataset:
+def load_drug_fingerprint_features(data_path: str, dataset_name: str, default_random=True) -> FeatureDataset:
     """
     Load drug features from fingerprints.
 
     :param data_path: path to the data, e.g., data/
     :param dataset_name: name of the dataset, e.g., GDSC2
+    :param default_random: whether to use default random fingerprints if fingerprint is not available
     :returns: FeatureDataset with the drug fingerprints
     """
-    if dataset_name == "Toy_Data":
-        fingerprints = pd.read_csv(os.path.join(data_path, dataset_name, "fingerprints.csv"), index_col=0)
-    else:
-        fingerprints = pd.read_csv(
-            os.path.join(data_path, dataset_name, "drug_fingerprints", "drug_name_to_demorgan_128_map.csv"),
-            index_col=0,
-        ).T
+    fingerprints = pd.read_csv(
+        os.path.join(data_path, dataset_name, "drug_fingerprints", "pubchem_id_to_demorgan_128_map.csv"), index_col=None
+    ).T
+    if default_random:
+        for drug in fingerprints.index:
+            if not np.all(fingerprints.loc[drug].values == 0):
+                continue
+            fingerprints.loc[drug] = np.random.randint(0, 2, size=fingerprints.loc[drug])
     return FeatureDataset(
         features={drug: {"fingerprints": fingerprints.loc[drug].values} for drug in fingerprints.index}
     )
diff --git a/drevalpy/visualization/utils.py b/drevalpy/visualization/utils.py
index a643b12e..078bdf5c 100644
--- a/drevalpy/visualization/utils.py
+++ b/drevalpy/visualization/utils.py
@@ -37,11 +37,12 @@ def _parse_layout(f: TextIO, path_to_layout: str) -> None:
     f.write("".join(layout))
 
 
-def parse_results(path_to_results: str) -> tuple[pd.DataFrame, pd.DataFrame, pd.DataFrame, pd.DataFrame]:
+def parse_results(path_to_results: str, dataset: str) -> tuple[pd.DataFrame, pd.DataFrame, pd.DataFrame, pd.DataFrame]:
     """
     Parse the results from the given directory.
 
     :param path_to_results: path to the results directory
+    :param dataset: dataset name, e.g., GDSC2
     :returns: evaluation results, evaluation results per drug, evaluation results per cell line, and true vs. predicted
         values
     """
@@ -54,7 +55,7 @@ def parse_results(path_to_results: str) -> tuple[pd.DataFrame, pd.DataFrame, pd.
     # Convert the path to a forward-slash version for the regex (for Windows)
     result_dir_str = str(result_dir).replace("\\", "/")
     pattern = re.compile(
-        rf"{result_dir_str}/(LPO|LCO|LDO)/[^/]+/(predictions|cross_study|randomization|robustness)/.*\.csv$"
+        rf"{result_dir_str}/{dataset}/(LPO|LCO|LDO)/[^/]+/(predictions|cross_study|randomization|robustness)/.*\.csv$"
     )
     result_files = [file for file in result_files if pattern.match(str(file).replace("\\", "/"))]
 
@@ -69,8 +70,9 @@ def parse_results(path_to_results: str) -> tuple[pd.DataFrame, pd.DataFrame, pd.
         rel_file = str(os.path.normpath(file.relative_to(result_dir))).replace("\\", "/")
         print(f'Evaluating file: "{rel_file}" ...')
         file_parts = rel_file.split("/")
-        lpo_lco_ldo = file_parts[0]
-        algorithm = file_parts[1]
+        dataset = file_parts[0]
+        lpo_lco_ldo = file_parts[1]
+        algorithm = file_parts[2]
         (
             overall_eval,
             eval_results_per_drug,
diff --git a/poetry.lock b/poetry.lock
index 64628322..8fb0bfb7 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -2,102 +2,107 @@
 
 [[package]]
 name = "aiohappyeyeballs"
-version = "2.4.4"
+version = "2.4.6"
 description = "Happy Eyeballs for asyncio"
 optional = false
-python-versions = ">=3.8"
+python-versions = ">=3.9"
 groups = ["main"]
 markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
-    {file = "aiohappyeyeballs-2.4.4-py3-none-any.whl", hash = "sha256:a980909d50efcd44795c4afeca523296716d50cd756ddca6af8c65b996e27de8"},
-    {file = "aiohappyeyeballs-2.4.4.tar.gz", hash = "sha256:5fdd7d87889c63183afc18ce9271f9b0a7d32c2303e394468dd45d514a757745"},
+    {file = "aiohappyeyeballs-2.4.6-py3-none-any.whl", hash = "sha256:147ec992cf873d74f5062644332c539fcd42956dc69453fe5204195e560517e1"},
+    {file = "aiohappyeyeballs-2.4.6.tar.gz", hash = "sha256:9b05052f9042985d32ecbe4b59a77ae19c006a78f1344d7fdad69d28ded3d0b0"},
 ]
 
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 ]
 
 [package.dependencies]
@@ -147,7 +152,7 @@ version = "4.8.0"
 description = "High level compatibility layer for multiple asynchronous event loop implementations"
 optional = false
 python-versions = ">=3.9"
-groups = ["development"]
+groups = ["main", "development"]
 markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
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@@ -182,15 +187,15 @@ test = ["coverage", "mypy", "pexpect", "ruff", "wheel"]
 
 [[package]]
 name = "attrs"
-version = "24.3.0"
+version = "25.1.0"
 description = "Classes Without Boilerplate"
 optional = false
 python-versions = ">=3.8"
 groups = ["main", "development"]
 markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
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 ]
 
 [package.extras]
@@ -203,19 +208,19 @@ tests-mypy = ["mypy (>=1.11.1)", "pytest-mypy-plugins"]
 
 [[package]]
 name = "babel"
-version = "2.16.0"
+version = "2.17.0"
 description = "Internationalization utilities"
 optional = false
 python-versions = ">=3.8"
 groups = ["development"]
 markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
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-    {file = "babel-2.16.0.tar.gz", hash = "sha256:d1f3554ca26605fe173f3de0c65f750f5a42f924499bf134de6423582298e316"},
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+    {file = "babel-2.17.0.tar.gz", hash = "sha256:0c54cffb19f690cdcc52a3b50bcbf71e07a808d1c80d549f2459b9d2cf0afb9d"},
 ]
 
 [package.extras]
-dev = ["freezegun (>=1.0,<2.0)", "pytest (>=6.0)", "pytest-cov"]
+dev = ["backports.zoneinfo", "freezegun (>=1.0,<2.0)", "jinja2 (>=3.0)", "pytest (>=6.0)", "pytest-cov", "pytz", "setuptools", "tzdata"]
 
 [[package]]
 name = "backports-tarfile"
@@ -236,15 +241,15 @@ testing = ["jaraco.test", "pytest (!=8.0.*)", "pytest (>=6,!=8.1.*)", "pytest-ch
 
 [[package]]
 name = "bandit"
-version = "1.8.0"
+version = "1.8.3"
 description = "Security oriented static analyser for python code."
 optional = false
 python-versions = ">=3.9"
 groups = ["development"]
 markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
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+    {file = "bandit-1.8.3.tar.gz", hash = "sha256:f5847beb654d309422985c36644649924e0ea4425c76dec2e89110b87506193a"},
 ]
 
 [package.dependencies]
@@ -262,35 +267,35 @@ yaml = ["PyYAML"]
 
 [[package]]
 name = "black"
-version = "24.10.0"
+version = "25.1.0"
 description = "The uncompromising code formatter."
 optional = false
 python-versions = ">=3.9"
 groups = ["development"]
 markers = "python_version == \"3.11\" or python_version >= \"3.12\""
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 ]
 
 [package.dependencies]
@@ -380,15 +385,15 @@ redis = ["redis (>=2.10.5)"]
 
 [[package]]
 name = "certifi"
-version = "2024.12.14"
+version = "2025.1.31"
 description = "Python package for providing Mozilla's CA Bundle."
 optional = false
 python-versions = ">=3.6"
 groups = ["main", "development"]
 markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
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 ]
 
 [[package]]
@@ -398,7 +403,7 @@ description = "Foreign Function Interface for Python calling C code."
 optional = false
 python-versions = ">=3.8"
 groups = ["main"]
-markers = "python_version == \"3.11\" and sys_platform == \"linux\" and platform_python_implementation != \"PyPy\" or python_version == \"3.11\" and sys_platform == \"darwin\" or python_version >= \"3.12\" and sys_platform == \"linux\" and platform_python_implementation != \"PyPy\" or python_version >= \"3.12\" and sys_platform == \"darwin\""
+markers = "python_version == \"3.11\" and (sys_platform == \"linux\" or sys_platform == \"darwin\") or python_version == \"3.11\" and platform_python_implementation == \"PyPy\" or python_version >= \"3.12\" and (sys_platform == \"linux\" or sys_platform == \"darwin\") or python_version >= \"3.12\" and platform_python_implementation == \"PyPy\""
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@@ -743,40 +748,44 @@ files = [
 
 [[package]]
 name = "cryptography"
-version = "44.0.0"
+version = "44.0.1"
 description = "cryptography is a package which provides cryptographic recipes and primitives to Python developers."
 optional = false
 python-versions = "!=3.9.0,!=3.9.1,>=3.7"
 groups = ["main"]
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@@ -789,7 +798,7 @@ nox = ["nox (>=2024.4.15)", "nox[uv] (>=2024.3.2)"]
 pep8test = ["check-sdist", "click (>=8.0.1)", "mypy (>=1.4)", "ruff (>=0.3.6)"]
 sdist = ["build (>=1.0.0)"]
 ssh = ["bcrypt (>=3.1.5)"]
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+test = ["certifi (>=2024)", "cryptography-vectors (==44.0.1)", "pretend (>=0.7)", "pytest (>=7.4.0)", "pytest-benchmark (>=4.0)", "pytest-cov (>=2.10.1)", "pytest-xdist (>=3.5.0)"]
 test-randomorder = ["pytest-randomly"]
 
 [[package]]
@@ -843,6 +852,25 @@ files = [
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 ]
 
+[[package]]
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+version = "1.3.0"
+description = "A tool for resolving PEP 735 Dependency Group data"
+optional = false
+python-versions = ">=3.8"
+groups = ["development"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
+files = [
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+
+[package.dependencies]
+packaging = "*"
+
+[package.extras]
+cli = ["tomli"]
+
 [[package]]
 name = "distlib"
 version = "0.3.9"
@@ -950,33 +978,49 @@ devel = ["colorama", "json-spec", "jsonschema", "pylint", "pytest", "pytest-benc
 
 [[package]]
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+version = "3.17.0"
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-python-versions = ">=3.8"
+python-versions = ">=3.9"
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+optional = false
+python-versions = ">=3.8"
+groups = ["main"]
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+
 [[package]]
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 ]
 
 [package.dependencies]
@@ -1074,63 +1118,63 @@ files = [
 
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 [package.extras]
@@ -1252,15 +1296,15 @@ files = [
 
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+version = "2025.2.0"
 description = "File-system specification"
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 python-versions = ">=3.8"
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 [package.dependencies]
@@ -1290,7 +1334,7 @@ sftp = ["paramiko"]
 smb = ["smbprotocol"]
 ssh = ["paramiko"]
 test = ["aiohttp (!=4.0.0a0,!=4.0.0a1)", "numpy", "pytest", "pytest-asyncio (!=0.22.0)", "pytest-benchmark", "pytest-cov", "pytest-mock", "pytest-recording", "pytest-rerunfailures", "requests"]
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 test-full = ["adlfs", "aiohttp (!=4.0.0a0,!=4.0.0a1)", "cloudpickle", "dask", "distributed", "dropbox", "dropboxdrivefs", "fastparquet", "fusepy", "gcsfs", "jinja2", "kerchunk", "libarchive-c", "lz4", "notebook", "numpy", "ocifs", "pandas", "panel", "paramiko", "pyarrow", "pyarrow (>=1)", "pyftpdlib", "pygit2", "pytest", "pytest-asyncio (!=0.22.0)", "pytest-benchmark", "pytest-cov", "pytest-mock", "pytest-recording", "pytest-rerunfailures", "python-snappy", "requests", "smbprotocol", "tqdm", "urllib3", "zarr", "zstandard"]
 tqdm = ["tqdm"]
 
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 optional = false
 python-versions = ">=3.7"
-groups = ["development"]
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+python-versions = ">=3.8"
+groups = ["main"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
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+
+[package.dependencies]
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+h11 = ">=0.13,<0.15"
+
+[package.extras]
+asyncio = ["anyio (>=4.0,<5.0)"]
+http2 = ["h2 (>=3,<5)"]
+socks = ["socksio (==1.*)"]
+trio = ["trio (>=0.22.0,<1.0)"]
+
+[[package]]
+name = "httpx"
+version = "0.28.1"
+description = "The next generation HTTP client."
+optional = false
+python-versions = ">=3.8"
+groups = ["main"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
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+
+[package.extras]
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+http2 = ["h2 (>=3,<5)"]
+socks = ["socksio (==1.*)"]
+zstd = ["zstandard (>=0.18.0)"]
+
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+    {file = "identify-2.6.7-py2.py3-none-any.whl", hash = "sha256:155931cb617a401807b09ecec6635d6c692d180090a1cedca8ef7d58ba5b6aa0"},
+    {file = "identify-2.6.7.tar.gz", hash = "sha256:3fa266b42eba321ee0b2bb0936a6a6b9e36a1351cbb69055b3082f4193035684"},
 ]
 
 [package.extras]
@@ -1354,15 +1447,15 @@ files = [
 
 [[package]]
 name = "importlib-metadata"
-version = "8.5.0"
+version = "8.6.1"
 description = "Read metadata from Python packages"
 optional = false
-python-versions = ">=3.8"
+python-versions = ">=3.9"
 groups = ["main"]
 markers = "python_version == \"3.11\""
 files = [
-    {file = "importlib_metadata-8.5.0-py3-none-any.whl", hash = "sha256:45e54197d28b7a7f1559e60b95e7c567032b602131fbd588f1497f47880aa68b"},
-    {file = "importlib_metadata-8.5.0.tar.gz", hash = "sha256:71522656f0abace1d072b9e5481a48f07c138e00f079c38c8f883823f9c26bd7"},
+    {file = "importlib_metadata-8.6.1-py3-none-any.whl", hash = "sha256:02a89390c1e15fdfdc0d7c6b25cb3e62650d0494005c97d6f148bf5b9787525e"},
+    {file = "importlib_metadata-8.6.1.tar.gz", hash = "sha256:310b41d755445d74569f993ccfc22838295d9fe005425094fad953d7f15c8580"},
 ]
 
 [package.dependencies]
@@ -1374,7 +1467,7 @@ cover = ["pytest-cov"]
 doc = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-lint"]
 enabler = ["pytest-enabler (>=2.2)"]
 perf = ["ipython"]
-test = ["flufl.flake8", "importlib-resources (>=1.3)", "jaraco.test (>=5.4)", "packaging", "pyfakefs", "pytest (>=6,!=8.1.*)", "pytest-perf (>=0.9.2)"]
+test = ["flufl.flake8", "importlib_resources (>=1.3)", "jaraco.test (>=5.4)", "packaging", "pyfakefs", "pytest (>=6,!=8.1.*)", "pytest-perf (>=0.9.2)"]
 type = ["pytest-mypy"]
 
 [[package]]
@@ -1426,19 +1519,20 @@ files = [
 
 [[package]]
 name = "isort"
-version = "5.13.2"
+version = "6.0.0"
 description = "A Python utility / library to sort Python imports."
 optional = false
-python-versions = ">=3.8.0"
+python-versions = ">=3.9.0"
 groups = ["development"]
 markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
-    {file = "isort-5.13.2-py3-none-any.whl", hash = "sha256:8ca5e72a8d85860d5a3fa69b8745237f2939afe12dbf656afbcb47fe72d947a6"},
-    {file = "isort-5.13.2.tar.gz", hash = "sha256:48fdfcb9face5d58a4f6dde2e72a1fb8dcaf8ab26f95ab49fab84c2ddefb0109"},
+    {file = "isort-6.0.0-py3-none-any.whl", hash = "sha256:567954102bb47bb12e0fae62606570faacddd441e45683968c8d1734fb1af892"},
+    {file = "isort-6.0.0.tar.gz", hash = "sha256:75d9d8a1438a9432a7d7b54f2d3b45cad9a4a0fdba43617d9873379704a8bdf1"},
 ]
 
 [package.extras]
-colors = ["colorama (>=0.4.6)"]
+colors = ["colorama"]
+plugins = ["setuptools"]
 
 [[package]]
 name = "jaraco-classes"
@@ -1716,26 +1810,26 @@ files = [
 
 [[package]]
 name = "lightning-utilities"
-version = "0.11.9"
+version = "0.12.0"
 description = "Lightning toolbox for across the our ecosystem."
 optional = false
-python-versions = ">=3.8"
+python-versions = ">=3.9"
 groups = ["main"]
 markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
-    {file = "lightning_utilities-0.11.9-py3-none-any.whl", hash = "sha256:ac6d4e9e28faf3ff4be997876750fee10dc604753dbc429bf3848a95c5d7e0d2"},
-    {file = "lightning_utilities-0.11.9.tar.gz", hash = "sha256:f5052b81344cc2684aa9afd74b7ce8819a8f49a858184ec04548a5a109dfd053"},
+    {file = "lightning_utilities-0.12.0-py3-none-any.whl", hash = "sha256:b827f5768607e81ccc7b2ada1f50628168d1cc9f839509c7e87c04b59079e66c"},
+    {file = "lightning_utilities-0.12.0.tar.gz", hash = "sha256:95b5f22a0b69eb27ca0929c6c1d510592a70080e1733a055bf154903c0343b60"},
 ]
 
 [package.dependencies]
 packaging = ">=17.1"
 setuptools = "*"
-typing-extensions = "*"
+typing_extensions = "*"
 
 [package.extras]
 cli = ["fire"]
 docs = ["requests (>=2.0.0)"]
-typing = ["mypy (>=1.0.0)", "types-setuptools"]
+typing = ["fire", "mypy (>=1.0.0)", "types-setuptools"]
 
 [[package]]
 name = "markdown-it-py"
@@ -1922,15 +2016,15 @@ files = [
 
 [[package]]
 name = "more-itertools"
-version = "10.5.0"
+version = "10.6.0"
 description = "More routines for operating on iterables, beyond itertools"
 optional = false
-python-versions = ">=3.8"
+python-versions = ">=3.9"
 groups = ["main"]
 markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
-    {file = "more-itertools-10.5.0.tar.gz", hash = "sha256:5482bfef7849c25dc3c6dd53a6173ae4795da2a41a80faea6700d9f5846c5da6"},
-    {file = "more_itertools-10.5.0-py3-none-any.whl", hash = "sha256:037b0d3203ce90cca8ab1defbbdac29d5f993fc20131f3664dc8d6acfa872aef"},
+    {file = "more-itertools-10.6.0.tar.gz", hash = "sha256:2cd7fad1009c31cc9fb6a035108509e6547547a7a738374f10bd49a09eb3ee3b"},
+    {file = "more_itertools-10.6.0-py3-none-any.whl", hash = "sha256:6eb054cb4b6db1473f6e15fcc676a08e4732548acd47c708f0e179c2c7c01e89"},
 ]
 
 [[package]]
@@ -2143,6 +2237,36 @@ files = [
     {file = "mypy_extensions-1.0.0.tar.gz", hash = "sha256:75dbf8955dc00442a438fc4d0666508a9a97b6bd41aa2f0ffe9d2f2725af0782"},
 ]
 
+[[package]]
+name = "narwhals"
+version = "1.27.1"
+description = "Extremely lightweight compatibility layer between dataframe libraries"
+optional = false
+python-versions = ">=3.8"
+groups = ["main"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
+files = [
+    {file = "narwhals-1.27.1-py3-none-any.whl", hash = "sha256:71e4a126007886e3dd9d71d0d5921ebd2e8c1f9be9c405fe11850ece2b066c59"},
+    {file = "narwhals-1.27.1.tar.gz", hash = "sha256:68505d0cee1e6c00382ac8b65e922f8b694a11cbe482a057fa63139de8d0ea03"},
+]
+
+[package.extras]
+core = ["duckdb", "pandas", "polars", "pyarrow", "pyarrow-stubs"]
+cudf = ["cudf (>=24.10.0)"]
+dask = ["dask[dataframe] (>=2024.8)"]
+dev = ["covdefaults", "hypothesis", "mypy (>=1.15.0,<1.16.0)", "pandas-stubs", "pre-commit", "pytest", "pytest-cov", "pytest-env", "pytest-randomly", "typing-extensions"]
+docs = ["black", "duckdb", "jinja2", "markdown-exec[ansi]", "mkdocs", "mkdocs-autorefs", "mkdocs-material", "mkdocstrings[python]", "pandas", "polars (>=1.0.0)", "pyarrow"]
+duckdb = ["duckdb (>=1.0)"]
+extra = ["scikit-learn"]
+ibis = ["ibis-framework (>=6.0.0)", "packaging", "pyarrow-hotfix", "rich"]
+modin = ["modin"]
+pandas = ["pandas (>=0.25.3)"]
+polars = ["polars (>=0.20.3)"]
+pyarrow = ["pyarrow (>=11.0.0)"]
+pyspark = ["pyspark (>=3.5.0)"]
+tests = ["covdefaults", "hypothesis", "pytest", "pytest-cov", "pytest-env", "pytest-randomly", "typing-extensions"]
+typing = ["mypy (>=1.15.0,<1.16.0)", "pandas-stubs", "typing-extensions"]
+
 [[package]]
 name = "networkx"
 version = "3.4.2"
@@ -2179,38 +2303,40 @@ files = [
 
 [[package]]
 name = "nox"
-version = "2024.10.9"
+version = "2025.2.9"
 description = "Flexible test automation."
 optional = false
 python-versions = ">=3.8"
 groups = ["development"]
 markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
-    {file = "nox-2024.10.9-py3-none-any.whl", hash = "sha256:1d36f309a0a2a853e9bccb76bbef6bb118ba92fa92674d15604ca99adeb29eab"},
-    {file = "nox-2024.10.9.tar.gz", hash = "sha256:7aa9dc8d1c27e9f45ab046ffd1c3b2c4f7c91755304769df231308849ebded95"},
+    {file = "nox-2025.2.9-py3-none-any.whl", hash = "sha256:7d1e92d1918c6980d70aee9cf1c1d19d16faa71c4afe338fffd39e8a460e2067"},
+    {file = "nox-2025.2.9.tar.gz", hash = "sha256:d50cd4ca568bd7621c2e6cbbc4845b3b7f7697f25d5fb0190ce8f4600be79768"},
 ]
 
 [package.dependencies]
 argcomplete = ">=1.9.4,<4"
+attrs = ">=23.1"
 colorlog = ">=2.6.1,<7"
+dependency-groups = ">=1.1"
 packaging = ">=20.9"
 virtualenv = ">=20.14.1"
 
 [package.extras]
-tox-to-nox = ["jinja2", "tox"]
+tox-to-nox = ["importlib-resources", "jinja2", "tox (>=4)"]
 uv = ["uv (>=0.1.6)"]
 
 [[package]]
 name = "nox-poetry"
-version = "1.0.3"
+version = "1.1.0"
 description = "nox-poetry"
 optional = false
-python-versions = ">=3.7,<4.0"
+python-versions = ">=3.8"
 groups = ["development"]
 markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
-    {file = "nox_poetry-1.0.3-py3-none-any.whl", hash = "sha256:a2fffeb70ae81840479e68287afe1c772bf376f70f1e92f99832a20b3c64d064"},
-    {file = "nox_poetry-1.0.3.tar.gz", hash = "sha256:dc7ecbbd812a333a0c0b558f57e5b37f7c12926cddbcecaf2264957fd373824e"},
+    {file = "nox_poetry-1.1.0-py3-none-any.whl", hash = "sha256:30510b183f92f63f6b8d3d9b0d371b8d5ac57e7934dcf4a7042474bb91691756"},
+    {file = "nox_poetry-1.1.0.tar.gz", hash = "sha256:b19c597ec20cfb071eaa853aee2e28cedf8d88799d68b482e7b6c915948a2817"},
 ]
 
 [package.dependencies]
@@ -2267,54 +2393,58 @@ files = [
 
 [[package]]
 name = "nvidia-cublas-cu12"
-version = "12.1.3.1"
+version = "12.4.5.8"
 description = "CUBLAS native runtime libraries"
 optional = false
 python-versions = ">=3"
 groups = ["main"]
 markers = "python_version == \"3.11\" and platform_system == \"Linux\" and platform_machine == \"x86_64\" or python_version >= \"3.12\" and platform_system == \"Linux\" and platform_machine == \"x86_64\""
 files = [
-    {file = "nvidia_cublas_cu12-12.1.3.1-py3-none-manylinux1_x86_64.whl", hash = "sha256:ee53ccca76a6fc08fb9701aa95b6ceb242cdaab118c3bb152af4e579af792728"},
-    {file = "nvidia_cublas_cu12-12.1.3.1-py3-none-win_amd64.whl", hash = "sha256:2b964d60e8cf11b5e1073d179d85fa340c120e99b3067558f3cf98dd69d02906"},
+    {file = "nvidia_cublas_cu12-12.4.5.8-py3-none-manylinux2014_aarch64.whl", hash = "sha256:0f8aa1706812e00b9f19dfe0cdb3999b092ccb8ca168c0db5b8ea712456fd9b3"},
+    {file = "nvidia_cublas_cu12-12.4.5.8-py3-none-manylinux2014_x86_64.whl", hash = "sha256:2fc8da60df463fdefa81e323eef2e36489e1c94335b5358bcb38360adf75ac9b"},
+    {file = "nvidia_cublas_cu12-12.4.5.8-py3-none-win_amd64.whl", hash = "sha256:5a796786da89203a0657eda402bcdcec6180254a8ac22d72213abc42069522dc"},
 ]
 
 [[package]]
 name = "nvidia-cuda-cupti-cu12"
-version = "12.1.105"
+version = "12.4.127"
 description = "CUDA profiling tools runtime libs."
 optional = false
 python-versions = ">=3"
 groups = ["main"]
 markers = "python_version == \"3.11\" and platform_system == \"Linux\" and platform_machine == \"x86_64\" or python_version >= \"3.12\" and platform_system == \"Linux\" and platform_machine == \"x86_64\""
 files = [
-    {file = "nvidia_cuda_cupti_cu12-12.1.105-py3-none-manylinux1_x86_64.whl", hash = "sha256:e54fde3983165c624cb79254ae9818a456eb6e87a7fd4d56a2352c24ee542d7e"},
-    {file = "nvidia_cuda_cupti_cu12-12.1.105-py3-none-win_amd64.whl", hash = "sha256:bea8236d13a0ac7190bd2919c3e8e6ce1e402104276e6f9694479e48bb0eb2a4"},
+    {file = "nvidia_cuda_cupti_cu12-12.4.127-py3-none-manylinux2014_aarch64.whl", hash = "sha256:79279b35cf6f91da114182a5ce1864997fd52294a87a16179ce275773799458a"},
+    {file = "nvidia_cuda_cupti_cu12-12.4.127-py3-none-manylinux2014_x86_64.whl", hash = "sha256:9dec60f5ac126f7bb551c055072b69d85392b13311fcc1bcda2202d172df30fb"},
+    {file = "nvidia_cuda_cupti_cu12-12.4.127-py3-none-win_amd64.whl", hash = "sha256:5688d203301ab051449a2b1cb6690fbe90d2b372f411521c86018b950f3d7922"},
 ]
 
 [[package]]
 name = "nvidia-cuda-nvrtc-cu12"
-version = "12.1.105"
+version = "12.4.127"
 description = "NVRTC native runtime libraries"
 optional = false
 python-versions = ">=3"
 groups = ["main"]
 markers = "python_version == \"3.11\" and platform_system == \"Linux\" and platform_machine == \"x86_64\" or python_version >= \"3.12\" and platform_system == \"Linux\" and platform_machine == \"x86_64\""
 files = [
-    {file = "nvidia_cuda_nvrtc_cu12-12.1.105-py3-none-manylinux1_x86_64.whl", hash = "sha256:339b385f50c309763ca65456ec75e17bbefcbbf2893f462cb8b90584cd27a1c2"},
-    {file = "nvidia_cuda_nvrtc_cu12-12.1.105-py3-none-win_amd64.whl", hash = "sha256:0a98a522d9ff138b96c010a65e145dc1b4850e9ecb75a0172371793752fd46ed"},
+    {file = "nvidia_cuda_nvrtc_cu12-12.4.127-py3-none-manylinux2014_aarch64.whl", hash = "sha256:0eedf14185e04b76aa05b1fea04133e59f465b6f960c0cbf4e37c3cb6b0ea198"},
+    {file = "nvidia_cuda_nvrtc_cu12-12.4.127-py3-none-manylinux2014_x86_64.whl", hash = "sha256:a178759ebb095827bd30ef56598ec182b85547f1508941a3d560eb7ea1fbf338"},
+    {file = "nvidia_cuda_nvrtc_cu12-12.4.127-py3-none-win_amd64.whl", hash = "sha256:a961b2f1d5f17b14867c619ceb99ef6fcec12e46612711bcec78eb05068a60ec"},
 ]
 
 [[package]]
 name = "nvidia-cuda-runtime-cu12"
-version = "12.1.105"
+version = "12.4.127"
 description = "CUDA Runtime native Libraries"
 optional = false
 python-versions = ">=3"
 groups = ["main"]
 markers = "python_version == \"3.11\" and platform_system == \"Linux\" and platform_machine == \"x86_64\" or python_version >= \"3.12\" and platform_system == \"Linux\" and platform_machine == \"x86_64\""
 files = [
-    {file = "nvidia_cuda_runtime_cu12-12.1.105-py3-none-manylinux1_x86_64.whl", hash = "sha256:6e258468ddf5796e25f1dc591a31029fa317d97a0a94ed93468fc86301d61e40"},
-    {file = "nvidia_cuda_runtime_cu12-12.1.105-py3-none-win_amd64.whl", hash = "sha256:dfb46ef84d73fababab44cf03e3b83f80700d27ca300e537f85f636fac474344"},
+    {file = "nvidia_cuda_runtime_cu12-12.4.127-py3-none-manylinux2014_aarch64.whl", hash = "sha256:961fe0e2e716a2a1d967aab7caee97512f71767f852f67432d572e36cb3a11f3"},
+    {file = "nvidia_cuda_runtime_cu12-12.4.127-py3-none-manylinux2014_x86_64.whl", hash = "sha256:64403288fa2136ee8e467cdc9c9427e0434110899d07c779f25b5c068934faa5"},
+    {file = "nvidia_cuda_runtime_cu12-12.4.127-py3-none-win_amd64.whl", hash = "sha256:09c2e35f48359752dfa822c09918211844a3d93c100a715d79b59591130c5e1e"},
 ]
 
 [[package]]
@@ -2335,41 +2465,47 @@ nvidia-cublas-cu12 = "*"
 
 [[package]]
 name = "nvidia-cufft-cu12"
-version = "11.0.2.54"
+version = "11.2.1.3"
 description = "CUFFT native runtime libraries"
 optional = false
 python-versions = ">=3"
 groups = ["main"]
 markers = "python_version == \"3.11\" and platform_system == \"Linux\" and platform_machine == \"x86_64\" or python_version >= \"3.12\" and platform_system == \"Linux\" and platform_machine == \"x86_64\""
 files = [
-    {file = "nvidia_cufft_cu12-11.0.2.54-py3-none-manylinux1_x86_64.whl", hash = "sha256:794e3948a1aa71fd817c3775866943936774d1c14e7628c74f6f7417224cdf56"},
-    {file = "nvidia_cufft_cu12-11.0.2.54-py3-none-win_amd64.whl", hash = "sha256:d9ac353f78ff89951da4af698f80870b1534ed69993f10a4cf1d96f21357e253"},
+    {file = "nvidia_cufft_cu12-11.2.1.3-py3-none-manylinux2014_aarch64.whl", hash = "sha256:5dad8008fc7f92f5ddfa2101430917ce2ffacd86824914c82e28990ad7f00399"},
+    {file = "nvidia_cufft_cu12-11.2.1.3-py3-none-manylinux2014_x86_64.whl", hash = "sha256:f083fc24912aa410be21fa16d157fed2055dab1cc4b6934a0e03cba69eb242b9"},
+    {file = "nvidia_cufft_cu12-11.2.1.3-py3-none-win_amd64.whl", hash = "sha256:d802f4954291101186078ccbe22fc285a902136f974d369540fd4a5333d1440b"},
 ]
 
+[package.dependencies]
+nvidia-nvjitlink-cu12 = "*"
+
 [[package]]
 name = "nvidia-curand-cu12"
-version = "10.3.2.106"
+version = "10.3.5.147"
 description = "CURAND native runtime libraries"
 optional = false
 python-versions = ">=3"
 groups = ["main"]
 markers = "python_version == \"3.11\" and platform_system == \"Linux\" and platform_machine == \"x86_64\" or python_version >= \"3.12\" and platform_system == \"Linux\" and platform_machine == \"x86_64\""
 files = [
-    {file = "nvidia_curand_cu12-10.3.2.106-py3-none-manylinux1_x86_64.whl", hash = "sha256:9d264c5036dde4e64f1de8c50ae753237c12e0b1348738169cd0f8a536c0e1e0"},
-    {file = "nvidia_curand_cu12-10.3.2.106-py3-none-win_amd64.whl", hash = "sha256:75b6b0c574c0037839121317e17fd01f8a69fd2ef8e25853d826fec30bdba74a"},
+    {file = "nvidia_curand_cu12-10.3.5.147-py3-none-manylinux2014_aarch64.whl", hash = "sha256:1f173f09e3e3c76ab084aba0de819c49e56614feae5c12f69883f4ae9bb5fad9"},
+    {file = "nvidia_curand_cu12-10.3.5.147-py3-none-manylinux2014_x86_64.whl", hash = "sha256:a88f583d4e0bb643c49743469964103aa59f7f708d862c3ddb0fc07f851e3b8b"},
+    {file = "nvidia_curand_cu12-10.3.5.147-py3-none-win_amd64.whl", hash = "sha256:f307cc191f96efe9e8f05a87096abc20d08845a841889ef78cb06924437f6771"},
 ]
 
 [[package]]
 name = "nvidia-cusolver-cu12"
-version = "11.4.5.107"
+version = "11.6.1.9"
 description = "CUDA solver native runtime libraries"
 optional = false
 python-versions = ">=3"
 groups = ["main"]
 markers = "python_version == \"3.11\" and platform_system == \"Linux\" and platform_machine == \"x86_64\" or python_version >= \"3.12\" and platform_system == \"Linux\" and platform_machine == \"x86_64\""
 files = [
-    {file = "nvidia_cusolver_cu12-11.4.5.107-py3-none-manylinux1_x86_64.whl", hash = "sha256:8a7ec542f0412294b15072fa7dab71d31334014a69f953004ea7a118206fe0dd"},
-    {file = "nvidia_cusolver_cu12-11.4.5.107-py3-none-win_amd64.whl", hash = "sha256:74e0c3a24c78612192a74fcd90dd117f1cf21dea4822e66d89e8ea80e3cd2da5"},
+    {file = "nvidia_cusolver_cu12-11.6.1.9-py3-none-manylinux2014_aarch64.whl", hash = "sha256:d338f155f174f90724bbde3758b7ac375a70ce8e706d70b018dd3375545fc84e"},
+    {file = "nvidia_cusolver_cu12-11.6.1.9-py3-none-manylinux2014_x86_64.whl", hash = "sha256:19e33fa442bcfd085b3086c4ebf7e8debc07cfe01e11513cc6d332fd918ac260"},
+    {file = "nvidia_cusolver_cu12-11.6.1.9-py3-none-win_amd64.whl", hash = "sha256:e77314c9d7b694fcebc84f58989f3aa4fb4cb442f12ca1a9bde50f5e8f6d1b9c"},
 ]
 
 [package.dependencies]
@@ -2379,58 +2515,73 @@ nvidia-nvjitlink-cu12 = "*"
 
 [[package]]
 name = "nvidia-cusparse-cu12"
-version = "12.1.0.106"
+version = "12.3.1.170"
 description = "CUSPARSE native runtime libraries"
 optional = false
 python-versions = ">=3"
 groups = ["main"]
 markers = "python_version == \"3.11\" and platform_system == \"Linux\" and platform_machine == \"x86_64\" or python_version >= \"3.12\" and platform_system == \"Linux\" and platform_machine == \"x86_64\""
 files = [
-    {file = "nvidia_cusparse_cu12-12.1.0.106-py3-none-manylinux1_x86_64.whl", hash = "sha256:f3b50f42cf363f86ab21f720998517a659a48131e8d538dc02f8768237bd884c"},
-    {file = "nvidia_cusparse_cu12-12.1.0.106-py3-none-win_amd64.whl", hash = "sha256:b798237e81b9719373e8fae8d4f091b70a0cf09d9d85c95a557e11df2d8e9a5a"},
+    {file = "nvidia_cusparse_cu12-12.3.1.170-py3-none-manylinux2014_aarch64.whl", hash = "sha256:9d32f62896231ebe0480efd8a7f702e143c98cfaa0e8a76df3386c1ba2b54df3"},
+    {file = "nvidia_cusparse_cu12-12.3.1.170-py3-none-manylinux2014_x86_64.whl", hash = "sha256:ea4f11a2904e2a8dc4b1833cc1b5181cde564edd0d5cd33e3c168eff2d1863f1"},
+    {file = "nvidia_cusparse_cu12-12.3.1.170-py3-none-win_amd64.whl", hash = "sha256:9bc90fb087bc7b4c15641521f31c0371e9a612fc2ba12c338d3ae032e6b6797f"},
 ]
 
 [package.dependencies]
 nvidia-nvjitlink-cu12 = "*"
 
+[[package]]
+name = "nvidia-cusparselt-cu12"
+version = "0.6.2"
+description = "NVIDIA cuSPARSELt"
+optional = false
+python-versions = "*"
+groups = ["main"]
+markers = "python_version == \"3.11\" and platform_system == \"Linux\" and platform_machine == \"x86_64\" or python_version >= \"3.12\" and platform_system == \"Linux\" and platform_machine == \"x86_64\""
+files = [
+    {file = "nvidia_cusparselt_cu12-0.6.2-py3-none-manylinux2014_aarch64.whl", hash = "sha256:067a7f6d03ea0d4841c85f0c6f1991c5dda98211f6302cb83a4ab234ee95bef8"},
+    {file = "nvidia_cusparselt_cu12-0.6.2-py3-none-manylinux2014_x86_64.whl", hash = "sha256:df2c24502fd76ebafe7457dbc4716b2fec071aabaed4fb7691a201cde03704d9"},
+    {file = "nvidia_cusparselt_cu12-0.6.2-py3-none-win_amd64.whl", hash = "sha256:0057c91d230703924c0422feabe4ce768841f9b4b44d28586b6f6d2eb86fbe70"},
+]
+
 [[package]]
 name = "nvidia-nccl-cu12"
-version = "2.20.5"
+version = "2.21.5"
 description = "NVIDIA Collective Communication Library (NCCL) Runtime"
 optional = false
 python-versions = ">=3"
 groups = ["main"]
 markers = "python_version == \"3.11\" and platform_system == \"Linux\" and platform_machine == \"x86_64\" or python_version >= \"3.12\" and platform_system == \"Linux\" and platform_machine == \"x86_64\""
 files = [
-    {file = "nvidia_nccl_cu12-2.20.5-py3-none-manylinux2014_aarch64.whl", hash = "sha256:1fc150d5c3250b170b29410ba682384b14581db722b2531b0d8d33c595f33d01"},
-    {file = "nvidia_nccl_cu12-2.20.5-py3-none-manylinux2014_x86_64.whl", hash = "sha256:057f6bf9685f75215d0c53bf3ac4a10b3e6578351de307abad9e18a99182af56"},
+    {file = "nvidia_nccl_cu12-2.21.5-py3-none-manylinux2014_x86_64.whl", hash = "sha256:8579076d30a8c24988834445f8d633c697d42397e92ffc3f63fa26766d25e0a0"},
 ]
 
 [[package]]
 name = "nvidia-nvjitlink-cu12"
-version = "12.6.85"
+version = "12.4.127"
 description = "Nvidia JIT LTO Library"
 optional = false
 python-versions = ">=3"
 groups = ["main"]
 markers = "python_version == \"3.11\" and platform_system == \"Linux\" and platform_machine == \"x86_64\" or python_version >= \"3.12\" and platform_system == \"Linux\" and platform_machine == \"x86_64\""
 files = [
-    {file = "nvidia_nvjitlink_cu12-12.6.85-py3-none-manylinux2010_x86_64.manylinux_2_12_x86_64.whl", hash = "sha256:eedc36df9e88b682efe4309aa16b5b4e78c2407eac59e8c10a6a47535164369a"},
-    {file = "nvidia_nvjitlink_cu12-12.6.85-py3-none-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:cf4eaa7d4b6b543ffd69d6abfb11efdeb2db48270d94dfd3a452c24150829e41"},
-    {file = "nvidia_nvjitlink_cu12-12.6.85-py3-none-win_amd64.whl", hash = "sha256:e61120e52ed675747825cdd16febc6a0730537451d867ee58bee3853b1b13d1c"},
+    {file = "nvidia_nvjitlink_cu12-12.4.127-py3-none-manylinux2014_aarch64.whl", hash = "sha256:4abe7fef64914ccfa909bc2ba39739670ecc9e820c83ccc7a6ed414122599b83"},
+    {file = "nvidia_nvjitlink_cu12-12.4.127-py3-none-manylinux2014_x86_64.whl", hash = "sha256:06b3b9b25bf3f8af351d664978ca26a16d2c5127dbd53c0497e28d1fb9611d57"},
+    {file = "nvidia_nvjitlink_cu12-12.4.127-py3-none-win_amd64.whl", hash = "sha256:fd9020c501d27d135f983c6d3e244b197a7ccad769e34df53a42e276b0e25fa1"},
 ]
 
 [[package]]
 name = "nvidia-nvtx-cu12"
-version = "12.1.105"
+version = "12.4.127"
 description = "NVIDIA Tools Extension"
 optional = false
 python-versions = ">=3"
 groups = ["main"]
 markers = "python_version == \"3.11\" and platform_system == \"Linux\" and platform_machine == \"x86_64\" or python_version >= \"3.12\" and platform_system == \"Linux\" and platform_machine == \"x86_64\""
 files = [
-    {file = "nvidia_nvtx_cu12-12.1.105-py3-none-manylinux1_x86_64.whl", hash = "sha256:dc21cf308ca5691e7c04d962e213f8a4aa9bbfa23d95412f452254c2caeb09e5"},
-    {file = "nvidia_nvtx_cu12-12.1.105-py3-none-win_amd64.whl", hash = "sha256:65f4d98982b31b60026e0e6de73fbdfc09d08a96f4656dd3665ca616a11e1e82"},
+    {file = "nvidia_nvtx_cu12-12.4.127-py3-none-manylinux2014_aarch64.whl", hash = "sha256:7959ad635db13edf4fc65c06a6e9f9e55fc2f92596db928d169c0bb031e88ef3"},
+    {file = "nvidia_nvtx_cu12-12.4.127-py3-none-manylinux2014_x86_64.whl", hash = "sha256:781e950d9b9f60d8241ccea575b32f5105a5baf4c2351cab5256a24869f12a1a"},
+    {file = "nvidia_nvtx_cu12-12.4.127-py3-none-win_amd64.whl", hash = "sha256:641dccaaa1139f3ffb0d3164b4b84f9d253397e38246a4f2f36728b48566d485"},
 ]
 
 [[package]]
@@ -2584,17 +2735,42 @@ test = ["pytest", "pytest-cov", "scipy"]
 
 [[package]]
 name = "pbr"
-version = "6.1.0"
+version = "6.1.1"
 description = "Python Build Reasonableness"
 optional = false
 python-versions = ">=2.6"
 groups = ["development"]
 markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
-    {file = "pbr-6.1.0-py2.py3-none-any.whl", hash = "sha256:a776ae228892d8013649c0aeccbb3d5f99ee15e005a4cbb7e61d55a067b28a2a"},
-    {file = "pbr-6.1.0.tar.gz", hash = "sha256:788183e382e3d1d7707db08978239965e8b9e4e5ed42669bf4758186734d5f24"},
+    {file = "pbr-6.1.1-py2.py3-none-any.whl", hash = "sha256:38d4daea5d9fa63b3f626131b9d34947fd0c8be9b05a29276870580050a25a76"},
+    {file = "pbr-6.1.1.tar.gz", hash = "sha256:93ea72ce6989eb2eed99d0f75721474f69ad88128afdef5ac377eb797c4bf76b"},
+]
+
+[package.dependencies]
+setuptools = "*"
+
+[[package]]
+name = "pbs-installer"
+version = "2025.2.12"
+description = "Installer for Python Build Standalone"
+optional = false
+python-versions = ">=3.8"
+groups = ["main"]
+markers = "python_version == \"3.11\" or python_version >= \"3.12\""
+files = [
+    {file = "pbs_installer-2025.2.12-py3-none-any.whl", hash = "sha256:3d9034047945b2d5f169cd9bb324f1f28c37d0ec120d6110ddb10aa07016fb79"},
+    {file = "pbs_installer-2025.2.12.tar.gz", hash = "sha256:c6815165babf312c90d27ccd16afe598de641d616860f88e1855f183b0253b39"},
 ]
 
+[package.dependencies]
+httpx = {version = ">=0.27.0,<1", optional = true, markers = "extra == \"download\""}
+zstandard = {version = ">=0.21.0", optional = true, markers = "extra == \"install\""}
+
+[package.extras]
+all = ["pbs-installer[download,install]"]
+download = ["httpx (>=0.27.0,<1)"]
+install = ["zstandard (>=0.21.0)"]
+
 [[package]]
 name = "pep8-naming"
 version = "0.14.1"
@@ -2731,15 +2907,15 @@ test = ["codecov", "coverage[toml] (>=5.3)", "mpmath", "openpyxl", "pytest (>=6)
 
 [[package]]
 name = "pkginfo"
-version = "1.12.0"
+version = "1.12.1.2"
 description = "Query metadata from sdists / bdists / installed packages."
 optional = false
 python-versions = ">=3.8"
 groups = ["main"]
 markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
-    {file = "pkginfo-1.12.0-py3-none-any.whl", hash = "sha256:dcd589c9be4da8973eceffa247733c144812759aa67eaf4bbf97016a02f39088"},
-    {file = "pkginfo-1.12.0.tar.gz", hash = "sha256:8ad91a0445a036782b9366ef8b8c2c50291f83a553478ba8580c73d3215700cf"},
+    {file = "pkginfo-1.12.1.2-py3-none-any.whl", hash = "sha256:c783ac885519cab2c34927ccfa6bf64b5a704d7c69afaea583dd9b7afe969343"},
+    {file = "pkginfo-1.12.1.2.tar.gz", hash = "sha256:5cd957824ac36f140260964eba3c6be6442a8359b8c48f4adf90210f33a04b7b"},
 ]
 
 [package.extras]
@@ -2765,20 +2941,23 @@ type = ["mypy (>=1.11.2)"]
 
 [[package]]
 name = "plotly"
-version = "5.24.1"
+version = "6.0.0"
 description = "An open-source, interactive data visualization library for Python"
 optional = false
 python-versions = ">=3.8"
 groups = ["main"]
 markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
-    {file = "plotly-5.24.1-py3-none-any.whl", hash = "sha256:f67073a1e637eb0dc3e46324d9d51e2fe76e9727c892dde64ddf1e1b51f29089"},
-    {file = "plotly-5.24.1.tar.gz", hash = "sha256:dbc8ac8339d248a4bcc36e08a5659bacfe1b079390b8953533f4eb22169b4bae"},
+    {file = "plotly-6.0.0-py3-none-any.whl", hash = "sha256:f708871c3a9349a68791ff943a5781b1ec04de7769ea69068adcd9202e57653a"},
+    {file = "plotly-6.0.0.tar.gz", hash = "sha256:c4aad38b8c3d65e4a5e7dd308b084143b9025c2cc9d5317fc1f1d30958db87d3"},
 ]
 
 [package.dependencies]
+narwhals = ">=1.15.1"
 packaging = "*"
-tenacity = ">=6.2.0"
+
+[package.extras]
+express = ["numpy"]
 
 [[package]]
 name = "pluggy"
@@ -2799,15 +2978,15 @@ testing = ["pytest", "pytest-benchmark"]
 
 [[package]]
 name = "poetry"
-version = "2.0.1"
+version = "2.1.1"
 description = "Python dependency management and packaging made easy."
 optional = false
 python-versions = "<4.0,>=3.9"
 groups = ["main"]
 markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
-    {file = "poetry-2.0.1-py3-none-any.whl", hash = "sha256:eb780a8acbd6eec4bc95e8ba104058c5129ea5a44115fc9b1fc0a2235412734d"},
-    {file = "poetry-2.0.1.tar.gz", hash = "sha256:a2987c3162f6ded6db890701a6fc657d2cfcc702e9421ef4c345211c8bffc5d5"},
+    {file = "poetry-2.1.1-py3-none-any.whl", hash = "sha256:1d433880bd5b401327ddee789ccfe9ff197bf3b0cd240f0bc7cc99c84d14b16c"},
+    {file = "poetry-2.1.1.tar.gz", hash = "sha256:d82673865bf13d6cd0dacf28c69a89670456d8df2f9e5da82bfb5f833ba00efc"},
 ]
 
 [package.dependencies]
@@ -2816,12 +2995,14 @@ cachecontrol = {version = ">=0.14.0,<0.15.0", extras = ["filecache"]}
 cleo = ">=2.1.0,<3.0.0"
 dulwich = ">=0.22.6,<0.23.0"
 fastjsonschema = ">=2.18.0,<3.0.0"
+findpython = ">=0.6.2,<0.7.0"
 installer = ">=0.7.0,<0.8.0"
 keyring = ">=25.1.0,<26.0.0"
 packaging = ">=24.0"
+pbs-installer = {version = ">=2025.1.6,<2026.0.0", extras = ["download", "install"]}
 pkginfo = ">=1.12,<2.0"
 platformdirs = ">=3.0.0,<5"
-poetry-core = "2.0.1"
+poetry-core = "2.1.1"
 pyproject-hooks = ">=1.0.0,<2.0.0"
 requests = ">=2.26,<3.0"
 requests-toolbelt = ">=1.0.0,<2.0.0"
@@ -2833,45 +3014,45 @@ xattr = {version = ">=1.0.0,<2.0.0", markers = "sys_platform == \"darwin\""}
 
 [[package]]
 name = "poetry-core"
-version = "2.0.1"
+version = "2.1.1"
 description = "Poetry PEP 517 Build Backend"
 optional = false
 python-versions = "<4.0,>=3.9"
 groups = ["main"]
 markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
-    {file = "poetry_core-2.0.1-py3-none-any.whl", hash = "sha256:a3c7009536522cda4eb0fb3805c9dc935b5537f8727dd01efb9c15e51a17552b"},
-    {file = "poetry_core-2.0.1.tar.gz", hash = "sha256:10177c2772469d9032a49f0d8707af761b1c597cea3b4fb31546e5cd436eb157"},
+    {file = "poetry_core-2.1.1-py3-none-any.whl", hash = "sha256:bc3b0382ab4d00d5d780277fd0aad1580eb4403613b37fc60fec407b5bee1fe6"},
+    {file = "poetry_core-2.1.1.tar.gz", hash = "sha256:c1a1f6f00e4254742f40988a8caf665549101cf9991122cd5de1198897768b1a"},
 ]
 
 [[package]]
 name = "poetry-plugin-export"
-version = "1.8.0"
+version = "1.9.0"
 description = "Poetry plugin to export the dependencies to various formats"
 optional = false
-python-versions = "<4.0,>=3.8"
+python-versions = "<4.0,>=3.9"
 groups = ["main"]
 markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
-    {file = "poetry_plugin_export-1.8.0-py3-none-any.whl", hash = "sha256:adbe232cfa0cc04991ea3680c865cf748bff27593b9abcb1f35fb50ed7ba2c22"},
-    {file = "poetry_plugin_export-1.8.0.tar.gz", hash = "sha256:1fa6168a85d59395d835ca564bc19862a7c76061e60c3e7dfaec70d50937fc61"},
+    {file = "poetry_plugin_export-1.9.0-py3-none-any.whl", hash = "sha256:e2621dd8c260dd705a8227f076075246a7ff5c697e18ddb90ff68081f47ee642"},
+    {file = "poetry_plugin_export-1.9.0.tar.gz", hash = "sha256:6fc8755cfac93c74752f85510b171983e2e47d782d4ab5be4ffc4f6945be7967"},
 ]
 
 [package.dependencies]
-poetry = ">=1.8.0,<3.0.0"
+poetry = ">=2.0.0,<3.0.0"
 poetry-core = ">=1.7.0,<3.0.0"
 
 [[package]]
 name = "pre-commit"
-version = "4.0.1"
+version = "4.1.0"
 description = "A framework for managing and maintaining multi-language pre-commit hooks."
 optional = false
 python-versions = ">=3.9"
 groups = ["development"]
 markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
-    {file = "pre_commit-4.0.1-py2.py3-none-any.whl", hash = "sha256:efde913840816312445dc98787724647c65473daefe420785f885e8ed9a06878"},
-    {file = "pre_commit-4.0.1.tar.gz", hash = "sha256:80905ac375958c0444c65e9cebebd948b3cdb518f335a091a670a89d652139d2"},
+    {file = "pre_commit-4.1.0-py2.py3-none-any.whl", hash = "sha256:d29e7cb346295bcc1cc75fc3e92e343495e3ea0196c9ec6ba53f49f10ab6ae7b"},
+    {file = "pre_commit-4.1.0.tar.gz", hash = "sha256:ae3f018575a588e30dfddfab9a05448bfbd6b73d78709617b5a2b853549716d4"},
 ]
 
 [package.dependencies]
@@ -2899,95 +3080,111 @@ files = [
 
 [[package]]
 name = "propcache"
-version = "0.2.1"
+version = "0.3.0"
 description = "Accelerated property cache"
 optional = false
 python-versions = ">=3.9"
 groups = ["main"]
 markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
-    {file = "propcache-0.2.1-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:6b3f39a85d671436ee3d12c017f8fdea38509e4f25b28eb25877293c98c243f6"},
-    {file = "propcache-0.2.1-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:39d51fbe4285d5db5d92a929e3e21536ea3dd43732c5b177c7ef03f918dff9f2"},
-    {file = "propcache-0.2.1-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:6445804cf4ec763dc70de65a3b0d9954e868609e83850a47ca4f0cb64bd79fea"},
-    {file = "propcache-0.2.1-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:f9479aa06a793c5aeba49ce5c5692ffb51fcd9a7016e017d555d5e2b0045d212"},
-    {file = "propcache-0.2.1-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:d9631c5e8b5b3a0fda99cb0d29c18133bca1e18aea9effe55adb3da1adef80d3"},
-    {file = "propcache-0.2.1-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:3156628250f46a0895f1f36e1d4fbe062a1af8718ec3ebeb746f1d23f0c5dc4d"},
-    {file = "propcache-0.2.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:6b6fb63ae352e13748289f04f37868099e69dba4c2b3e271c46061e82c745634"},
-    {file = "propcache-0.2.1-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:887d9b0a65404929641a9fabb6452b07fe4572b269d901d622d8a34a4e9043b2"},
-    {file = "propcache-0.2.1-cp310-cp310-musllinux_1_2_aarch64.whl", hash = "sha256:a96dc1fa45bd8c407a0af03b2d5218392729e1822b0c32e62c5bf7eeb5fb3958"},
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 [[package]]
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 [[package]]
 name = "psutil"
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-description = "Cross-platform lib for process and system monitoring in Python."
+version = "7.0.0"
+description = "Cross-platform lib for process and system monitoring in Python.  NOTE: the syntax of this script MUST be kept compatible with Python 2.7."
 optional = false
-python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,!=3.5.*,>=2.7"
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 groups = ["main"]
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 [package.dependencies]
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 jupyter = ["ipywidgets (>=7.5.1,<9)"]
 
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 ]
 
 [package.dependencies]
@@ -3922,7 +4137,7 @@ version = "75.8.0"
 description = "Easily download, build, install, upgrade, and uninstall Python packages"
 optional = false
 python-versions = ">=3.9"
-groups = ["main"]
+groups = ["main", "development"]
 markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "setuptools-75.8.0-py3-none-any.whl", hash = "sha256:e3982f444617239225d675215d51f6ba05f845d4eec313da4418fdbb56fb27e3"},
@@ -3970,7 +4185,7 @@ version = "1.3.1"
 description = "Sniff out which async library your code is running under"
 optional = false
 python-versions = ">=3.7"
-groups = ["development"]
+groups = ["main", "development"]
 markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
     {file = "sniffio-1.3.1-py3-none-any.whl", hash = "sha256:2f6da418d1f1e0fddd844478f41680e794e6051915791a034ff65e5f100525a2"},
@@ -3992,15 +4207,15 @@ files = [
 
 [[package]]
 name = "sphinx"
-version = "8.1.3"
+version = "8.2.0"
 description = "Python documentation generator"
 optional = false
-python-versions = ">=3.10"
+python-versions = ">=3.11"
 groups = ["development"]
 markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
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 ]
 
 [package.dependencies]
@@ -4013,6 +4228,7 @@ Jinja2 = ">=3.1"
 packaging = ">=23.0"
 Pygments = ">=2.17"
 requests = ">=2.30.0"
+roman-numerals-py = ">=1.0.0"
 snowballstemmer = ">=2.2"
 sphinxcontrib-applehelp = ">=1.0.7"
 sphinxcontrib-devhelp = ">=1.0.6"
@@ -4023,8 +4239,8 @@ sphinxcontrib-serializinghtml = ">=1.1.9"
 
 [package.extras]
 docs = ["sphinxcontrib-websupport"]
-lint = ["flake8 (>=6.0)", "mypy (==1.11.1)", "pyright (==1.1.384)", "pytest (>=6.0)", "ruff (==0.6.9)", "sphinx-lint (>=0.9)", "tomli (>=2)", "types-Pillow (==10.2.0.20240822)", "types-Pygments (==2.18.0.20240506)", "types-colorama (==0.4.15.20240311)", "types-defusedxml (==0.7.0.20240218)", "types-docutils (==0.21.0.20241005)", "types-requests (==2.32.0.20240914)", "types-urllib3 (==1.26.25.14)"]
-test = ["cython (>=3.0)", "defusedxml (>=0.7.1)", "pytest (>=8.0)", "setuptools (>=70.0)", "typing_extensions (>=4.9)"]
+lint = ["betterproto (==2.0.0b6)", "mypy (==1.15.0)", "pypi-attestations (==0.0.21)", "pyright (==1.1.394)", "pytest (>=8.0)", "ruff (==0.9.6)", "sphinx-lint (>=0.9)", "types-Pillow (==10.2.0.20240822)", "types-Pygments (==2.19.0.20250107)", "types-colorama (==0.4.15.20240311)", "types-defusedxml (==0.7.0.20240218)", "types-docutils (==0.21.0.20241128)", "types-requests (==2.32.0.20241016)", "types-urllib3 (==1.26.25.14)"]
+test = ["cython (>=3.0)", "defusedxml (>=0.7.1)", "pytest (>=8.0)", "pytest-xdist[psutil] (>=3.4)", "setuptools (>=70.0)", "typing_extensions (>=4.9)"]
 
 [[package]]
 name = "sphinx-autobuild"
@@ -4052,23 +4268,23 @@ test = ["httpx", "pytest (>=6)"]
 
 [[package]]
 name = "sphinx-autodoc-typehints"
-version = "3.0.1"
+version = "3.1.0"
 description = "Type hints (PEP 484) support for the Sphinx autodoc extension"
 optional = false
-python-versions = ">=3.10"
+python-versions = ">=3.11"
 groups = ["development"]
 markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
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 ]
 
 [package.dependencies]
-sphinx = ">=8.1.3"
+sphinx = ">=8.2"
 
 [package.extras]
 docs = ["furo (>=2024.8.6)"]
-testing = ["covdefaults (>=2.3)", "coverage (>=7.6.10)", "defusedxml (>=0.7.1)", "diff-cover (>=9.2.1)", "pytest (>=8.3.4)", "pytest-cov (>=6)", "sphobjinv (>=2.3.1.2)", "typing-extensions (>=4.12.2)"]
+testing = ["covdefaults (>=2.3)", "coverage (>=7.6.12)", "defusedxml (>=0.7.1)", "diff-cover (>=9.2.3)", "pytest (>=8.3.4)", "pytest-cov (>=6)", "sphobjinv (>=2.3.1.2)", "typing-extensions (>=4.12.2)"]
 
 [[package]]
 name = "sphinx-click"
@@ -4233,15 +4449,15 @@ test = ["pytest"]
 
 [[package]]
 name = "starlette"
-version = "0.45.2"
+version = "0.45.3"
 description = "The little ASGI library that shines."
 optional = false
 python-versions = ">=3.9"
 groups = ["development"]
 markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
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-    {file = "starlette-0.45.2.tar.gz", hash = "sha256:bba1831d15ae5212b22feab2f218bab6ed3cd0fc2dc1d4442443bb1ee52260e0"},
+    {file = "starlette-0.45.3-py3-none-any.whl", hash = "sha256:dfb6d332576f136ec740296c7e8bb8c8a7125044e7c6da30744718880cdd059d"},
+    {file = "starlette-0.45.3.tar.gz", hash = "sha256:2cbcba2a75806f8a41c722141486f37c28e30a0921c5f6fe4346cb0dcee1302f"},
 ]
 
 [package.dependencies]
@@ -4305,15 +4521,15 @@ docs = ["ipykernel", "jupyter-client", "matplotlib", "nbconvert", "nbformat", "n
 
 [[package]]
 name = "stevedore"
-version = "5.4.0"
+version = "5.4.1"
 description = "Manage dynamic plugins for Python applications"
 optional = false
 python-versions = ">=3.9"
 groups = ["development"]
 markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
-    {file = "stevedore-5.4.0-py3-none-any.whl", hash = "sha256:b0be3c4748b3ea7b854b265dcb4caa891015e442416422be16f8b31756107857"},
-    {file = "stevedore-5.4.0.tar.gz", hash = "sha256:79e92235ecb828fe952b6b8b0c6c87863248631922c8e8e0fa5b17b232c4514d"},
+    {file = "stevedore-5.4.1-py3-none-any.whl", hash = "sha256:d10a31c7b86cba16c1f6e8d15416955fc797052351a56af15e608ad20811fcfe"},
+    {file = "stevedore-5.4.1.tar.gz", hash = "sha256:3135b5ae50fe12816ef291baff420acb727fcd356106e3e9cbfa9e5985cd6f4b"},
 ]
 
 [package.dependencies]
@@ -4321,15 +4537,15 @@ pbr = ">=2.0.0"
 
 [[package]]
 name = "sympy"
-version = "1.13.3"
+version = "1.13.1"
 description = "Computer algebra system (CAS) in Python"
 optional = false
 python-versions = ">=3.8"
 groups = ["main"]
 markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
-    {file = "sympy-1.13.3-py3-none-any.whl", hash = "sha256:54612cf55a62755ee71824ce692986f23c88ffa77207b30c1368eda4a7060f73"},
-    {file = "sympy-1.13.3.tar.gz", hash = "sha256:b27fd2c6530e0ab39e275fc9b683895367e51d5da91baa8d3d64db2565fec4d9"},
+    {file = "sympy-1.13.1-py3-none-any.whl", hash = "sha256:db36cdc64bf61b9b24578b6f7bab1ecdd2452cf008f34faa33776680c26d66f8"},
+    {file = "sympy-1.13.1.tar.gz", hash = "sha256:9cebf7e04ff162015ce31c9c6c9144daa34a93bd082f54fd8f12deca4f47515f"},
 ]
 
 [package.dependencies]
@@ -4354,23 +4570,6 @@ files = [
 [package.extras]
 widechars = ["wcwidth"]
 
-[[package]]
-name = "tenacity"
-version = "9.0.0"
-description = "Retry code until it succeeds"
-optional = false
-python-versions = ">=3.8"
-groups = ["main"]
-markers = "python_version == \"3.11\" or python_version >= \"3.12\""
-files = [
-    {file = "tenacity-9.0.0-py3-none-any.whl", hash = "sha256:93de0c98785b27fcf659856aa9f54bfbd399e29969b0621bc7f762bd441b4539"},
-    {file = "tenacity-9.0.0.tar.gz", hash = "sha256:807f37ca97d62aa361264d497b0e31e92b8027044942bfa756160d908320d73b"},
-]
-
-[package.extras]
-doc = ["reno", "sphinx"]
-test = ["pytest", "tornado (>=4.5)", "typeguard"]
-
 [[package]]
 name = "threadpoolctl"
 version = "3.5.0"
@@ -4425,33 +4624,33 @@ files = [
 
 [[package]]
 name = "torch"
-version = "2.4.0"
+version = "2.6.0"
 description = "Tensors and Dynamic neural networks in Python with strong GPU acceleration"
 optional = false
-python-versions = ">=3.8.0"
+python-versions = ">=3.9.0"
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 [package.dependencies]
@@ -4459,24 +4658,27 @@ filelock = "*"
 fsspec = "*"
 jinja2 = "*"
 networkx = "*"
-nvidia-cublas-cu12 = {version = "12.1.3.1", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
-nvidia-cuda-cupti-cu12 = {version = "12.1.105", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
-nvidia-cuda-nvrtc-cu12 = {version = "12.1.105", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
-nvidia-cuda-runtime-cu12 = {version = "12.1.105", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
+nvidia-cublas-cu12 = {version = "12.4.5.8", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
+nvidia-cuda-cupti-cu12 = {version = "12.4.127", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
+nvidia-cuda-nvrtc-cu12 = {version = "12.4.127", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
+nvidia-cuda-runtime-cu12 = {version = "12.4.127", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
 nvidia-cudnn-cu12 = {version = "9.1.0.70", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
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-nvidia-curand-cu12 = {version = "10.3.2.106", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
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-nvidia-nvtx-cu12 = {version = "12.1.105", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
-sympy = "*"
-triton = {version = "3.0.0", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\" and python_version < \"3.13\""}
-typing-extensions = ">=4.8.0"
+nvidia-cufft-cu12 = {version = "11.2.1.3", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
+nvidia-curand-cu12 = {version = "10.3.5.147", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
+nvidia-cusolver-cu12 = {version = "11.6.1.9", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
+nvidia-cusparse-cu12 = {version = "12.3.1.170", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
+nvidia-cusparselt-cu12 = {version = "0.6.2", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
+nvidia-nccl-cu12 = {version = "2.21.5", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
+nvidia-nvjitlink-cu12 = {version = "12.4.127", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
+nvidia-nvtx-cu12 = {version = "12.4.127", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
+setuptools = {version = "*", markers = "python_version >= \"3.12\""}
+sympy = {version = "1.13.1", markers = "python_version >= \"3.9\""}
+triton = {version = "3.2.0", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
+typing-extensions = ">=4.10.0"
 
 [package.extras]
 opt-einsum = ["opt-einsum (>=3.3)"]
-optree = ["optree (>=0.11.0)"]
+optree = ["optree (>=0.13.0)"]
 
 [[package]]
 name = "torch-geometric"
@@ -4586,23 +4788,20 @@ telegram = ["requests"]
 
 [[package]]
 name = "triton"
-version = "3.0.0"
+version = "3.2.0"
 description = "A language and compiler for custom Deep Learning operations"
 optional = false
 python-versions = "*"
 groups = ["main"]
 markers = "python_version == \"3.11\" and platform_system == \"Linux\" and platform_machine == \"x86_64\" or python_version >= \"3.12\" and platform_system == \"Linux\" and platform_machine == \"x86_64\""
 files = [
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 ]
 
-[package.dependencies]
-filelock = "*"
-
 [package.extras]
 build = ["cmake (>=3.20)", "lit"]
 tests = ["autopep8", "flake8", "isort", "llnl-hatchet", "numpy", "pytest", "scipy (>=1.7.1)"]
@@ -4610,15 +4809,15 @@ tutorials = ["matplotlib", "pandas", "tabulate"]
 
 [[package]]
 name = "trove-classifiers"
-version = "2025.1.7.14"
+version = "2025.2.18.16"
 description = "Canonical source for classifiers on PyPI (pypi.org)."
 optional = false
 python-versions = "*"
 groups = ["main"]
 markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
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 ]
 
 [[package]]
@@ -4636,15 +4835,15 @@ files = [
 
 [[package]]
 name = "tzdata"
-version = "2024.2"
+version = "2025.1"
 description = "Provider of IANA time zone data"
 optional = false
 python-versions = ">=2"
 groups = ["main"]
 markers = "python_version == \"3.11\" or python_version >= \"3.12\""
 files = [
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 ]
 
 [[package]]
@@ -4688,15 +4887,15 @@ standard = ["colorama (>=0.4)", "httptools (>=0.6.3)", "python-dotenv (>=0.13)",
 
 [[package]]
 name = "virtualenv"
-version = "20.28.1"
+version = "20.29.2"
 description = "Virtual Python Environment builder"
 optional = false
 python-versions = ">=3.8"
 groups = ["main", "development"]
 markers = "python_version == \"3.11\" or python_version >= \"3.12\""
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 ]
 
 [package.dependencies]
@@ -4795,95 +4994,95 @@ anyio = ">=3.0.0"
 
 [[package]]
 name = "websockets"
-version = "14.1"
+version = "15.0"
 description = "An implementation of the WebSocket Protocol (RFC 6455 & 7692)"
 optional = false
 python-versions = ">=3.9"
 groups = ["development"]
 markers = "python_version == \"3.11\" or python_version >= \"3.12\""
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 python-versions = ">=3.10"
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 [package.dependencies]
@@ -4989,15 +5188,15 @@ test = ["pytest"]
 
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 type = ["pytest-mypy"]
 
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+]
+
+[package.dependencies]
+cffi = {version = ">=1.11", markers = "platform_python_implementation == \"PyPy\""}
+
+[package.extras]
+cffi = ["cffi (>=1.11)"]
+
 [extras]
 multiprocessing = ["ray"]
 
 [metadata]
 lock-version = "2.1"
 python-versions = ">=3.11,<3.13"
-content-hash = "bf0f826f8f395e1a264fd633e045bd60e57945e152008f1e7c8916c71e85a5a3"
+content-hash = "d6f635d579d7c39c80fbfbb3a1a2949aa504302b8c528408fa2230b2bab79263"
diff --git a/pyproject.toml b/pyproject.toml
index 17cd1dbd..4f1101d9 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -14,8 +14,8 @@ scikit-learn = ">=1.4,<1.7"
 pandas = "*"
 networkx = "*"
 pyyaml = "*"
-pytorch-lightning = "*"
-torch = ">=2.1,<=2.4"
+pytorch-lightning = ">=2.5"
+torch = ">=2.1,<=2.6"
 torch-geometric = "*"
 flaky = "*"
 requests = "*"
diff --git a/requirements.txt b/requirements.txt
index 76c23d00..6d78adb3 100644
--- a/requirements.txt
+++ b/requirements.txt
@@ -1,32 +1,36 @@
-aiohappyeyeballs==2.4.4 ; python_version >= "3.11" and python_version < "3.13"
-aiohttp==3.11.11 ; python_version >= "3.11" and python_version < "3.13"
+aiohappyeyeballs==2.4.6 ; python_version >= "3.11" and python_version < "3.13"
+aiohttp==3.11.12 ; python_version >= "3.11" and python_version < "3.13"
 aiosignal==1.3.2 ; python_version >= "3.11" and python_version < "3.13"
+anyio==4.8.0 ; python_version >= "3.11" and python_version < "3.13"
 attrs==25.1.0 ; python_version >= "3.11" and python_version < "3.13"
-backports-tarfile==1.2.0 ; python_version >= "3.11" and python_version < "3.12"
+backports-tarfile==1.2.0 ; python_version == "3.11"
 bokeh==3.4.3 ; python_version >= "3.11" and python_version < "3.13"
 build==1.2.2.post1 ; python_version >= "3.11" and python_version < "3.13"
-cachecontrol[filecache]==0.14.2 ; python_version >= "3.11" and python_version < "3.13"
-certifi==2024.12.14 ; python_version >= "3.11" and python_version < "3.13"
-cffi==1.17.1 ; python_version >= "3.11" and python_version < "3.13" and (sys_platform == "darwin" or sys_platform == "linux") and (sys_platform == "darwin" or platform_python_implementation != "PyPy")
+cachecontrol==0.14.2 ; python_version >= "3.11" and python_version < "3.13"
+certifi==2025.1.31 ; python_version >= "3.11" and python_version < "3.13"
+cffi==1.17.1 ; python_version >= "3.11" and python_version < "3.13" and (sys_platform == "linux" or sys_platform == "darwin" or platform_python_implementation == "PyPy")
 charset-normalizer==3.4.1 ; python_version >= "3.11" and python_version < "3.13"
 cleo==2.1.0 ; python_version >= "3.11" and python_version < "3.13"
 colorama==0.4.6 ; python_version >= "3.11" and python_version < "3.13" and (platform_system == "Windows" or sys_platform == "win32" or os_name == "nt")
 contourpy==1.3.1 ; python_version >= "3.11" and python_version < "3.13"
 crashtest==0.4.1 ; python_version >= "3.11" and python_version < "3.13"
-cryptography==44.0.0 ; python_version >= "3.11" and python_version < "3.13" and sys_platform == "linux"
+cryptography==44.0.1 ; python_version >= "3.11" and python_version < "3.13" and sys_platform == "linux"
 curve-curator==0.5.1 ; python_version >= "3.11" and python_version < "3.13"
 cycler==0.12.1 ; python_version >= "3.11" and python_version < "3.13"
 distlib==0.3.9 ; python_version >= "3.11" and python_version < "3.13"
 dulwich==0.22.7 ; python_version >= "3.11" and python_version < "3.13"
 fastjsonschema==2.21.1 ; python_version >= "3.11" and python_version < "3.13"
-filelock==3.16.1 ; python_version >= "3.11" and python_version < "3.13"
+filelock==3.17.0 ; python_version >= "3.11" and python_version < "3.13"
+findpython==0.6.2 ; python_version >= "3.11" and python_version < "3.13"
 flaky==3.8.1 ; python_version >= "3.11" and python_version < "3.13"
-fonttools==4.55.3 ; python_version >= "3.11" and python_version < "3.13"
+fonttools==4.56.0 ; python_version >= "3.11" and python_version < "3.13"
 frozenlist==1.5.0 ; python_version >= "3.11" and python_version < "3.13"
-fsspec==2024.12.0 ; python_version >= "3.11" and python_version < "3.13"
-fsspec[http]==2024.12.0 ; python_version >= "3.11" and python_version < "3.13"
+fsspec==2025.2.0 ; python_version >= "3.11" and python_version < "3.13"
+h11==0.14.0 ; python_version >= "3.11" and python_version < "3.13"
+httpcore==1.0.7 ; python_version >= "3.11" and python_version < "3.13"
+httpx==0.28.1 ; python_version >= "3.11" and python_version < "3.13"
 idna==3.10 ; python_version >= "3.11" and python_version < "3.13"
-importlib-metadata==8.5.0 ; python_version >= "3.11" and python_version < "3.12"
+importlib-metadata==8.6.1 ; python_version == "3.11"
 importlib-resources==6.5.2 ; python_version >= "3.11" and python_version < "3.13"
 iniconfig==2.0.0 ; python_version >= "3.11" and python_version < "3.13"
 installer==0.7.0 ; python_version >= "3.11" and python_version < "3.13"
@@ -38,81 +42,85 @@ jinja2==3.1.5 ; python_version >= "3.11" and python_version < "3.13"
 joblib==1.4.2 ; python_version >= "3.11" and python_version < "3.13"
 keyring==25.6.0 ; python_version >= "3.11" and python_version < "3.13"
 kiwisolver==1.4.8 ; python_version >= "3.11" and python_version < "3.13"
-lightning-utilities==0.11.9 ; python_version >= "3.11" and python_version < "3.13"
+lightning-utilities==0.12.0 ; python_version >= "3.11" and python_version < "3.13"
 markupsafe==3.0.2 ; python_version >= "3.11" and python_version < "3.13"
 matplotlib==3.10.0 ; python_version >= "3.11" and python_version < "3.13"
 more-itertools==10.6.0 ; python_version >= "3.11" and python_version < "3.13"
 mpmath==1.3.0 ; python_version >= "3.11" and python_version < "3.13"
 msgpack==1.1.0 ; python_version >= "3.11" and python_version < "3.13"
 multidict==6.1.0 ; python_version >= "3.11" and python_version < "3.13"
+narwhals==1.27.1 ; python_version >= "3.11" and python_version < "3.13"
 networkx==3.4.2 ; python_version >= "3.11" and python_version < "3.13"
 numpy==1.26.4 ; python_version >= "3.11" and python_version < "3.13"
-nvidia-cublas-cu12==12.1.3.1 ; platform_system == "Linux" and platform_machine == "x86_64" and python_version >= "3.11" and python_version < "3.13"
-nvidia-cuda-cupti-cu12==12.1.105 ; platform_system == "Linux" and platform_machine == "x86_64" and python_version >= "3.11" and python_version < "3.13"
-nvidia-cuda-nvrtc-cu12==12.1.105 ; platform_system == "Linux" and platform_machine == "x86_64" and python_version >= "3.11" and python_version < "3.13"
-nvidia-cuda-runtime-cu12==12.1.105 ; platform_system == "Linux" and platform_machine == "x86_64" and python_version >= "3.11" and python_version < "3.13"
-nvidia-cudnn-cu12==9.1.0.70 ; platform_system == "Linux" and platform_machine == "x86_64" and python_version >= "3.11" and python_version < "3.13"
-nvidia-cufft-cu12==11.0.2.54 ; platform_system == "Linux" and platform_machine == "x86_64" and python_version >= "3.11" and python_version < "3.13"
-nvidia-curand-cu12==10.3.2.106 ; platform_system == "Linux" and platform_machine == "x86_64" and python_version >= "3.11" and python_version < "3.13"
-nvidia-cusolver-cu12==11.4.5.107 ; platform_system == "Linux" and platform_machine == "x86_64" and python_version >= "3.11" and python_version < "3.13"
-nvidia-cusparse-cu12==12.1.0.106 ; platform_system == "Linux" and platform_machine == "x86_64" and python_version >= "3.11" and python_version < "3.13"
-nvidia-nccl-cu12==2.20.5 ; platform_system == "Linux" and platform_machine == "x86_64" and python_version >= "3.11" and python_version < "3.13"
-nvidia-nvjitlink-cu12==12.6.85 ; platform_system == "Linux" and platform_machine == "x86_64" and python_version >= "3.11" and python_version < "3.13"
-nvidia-nvtx-cu12==12.1.105 ; platform_system == "Linux" and platform_machine == "x86_64" and python_version >= "3.11" and python_version < "3.13"
+nvidia-cublas-cu12==12.4.5.8 ; python_version >= "3.11" and python_version < "3.13" and platform_system == "Linux" and platform_machine == "x86_64"
+nvidia-cuda-cupti-cu12==12.4.127 ; python_version >= "3.11" and python_version < "3.13" and platform_system == "Linux" and platform_machine == "x86_64"
+nvidia-cuda-nvrtc-cu12==12.4.127 ; python_version >= "3.11" and python_version < "3.13" and platform_system == "Linux" and platform_machine == "x86_64"
+nvidia-cuda-runtime-cu12==12.4.127 ; python_version >= "3.11" and python_version < "3.13" and platform_system == "Linux" and platform_machine == "x86_64"
+nvidia-cudnn-cu12==9.1.0.70 ; python_version >= "3.11" and python_version < "3.13" and platform_system == "Linux" and platform_machine == "x86_64"
+nvidia-cufft-cu12==11.2.1.3 ; python_version >= "3.11" and python_version < "3.13" and platform_system == "Linux" and platform_machine == "x86_64"
+nvidia-curand-cu12==10.3.5.147 ; python_version >= "3.11" and python_version < "3.13" and platform_system == "Linux" and platform_machine == "x86_64"
+nvidia-cusolver-cu12==11.6.1.9 ; python_version >= "3.11" and python_version < "3.13" and platform_system == "Linux" and platform_machine == "x86_64"
+nvidia-cusparse-cu12==12.3.1.170 ; python_version >= "3.11" and python_version < "3.13" and platform_system == "Linux" and platform_machine == "x86_64"
+nvidia-cusparselt-cu12==0.6.2 ; python_version >= "3.11" and python_version < "3.13" and platform_system == "Linux" and platform_machine == "x86_64"
+nvidia-nccl-cu12==2.21.5 ; python_version >= "3.11" and python_version < "3.13" and platform_system == "Linux" and platform_machine == "x86_64"
+nvidia-nvjitlink-cu12==12.4.127 ; python_version >= "3.11" and python_version < "3.13" and platform_system == "Linux" and platform_machine == "x86_64"
+nvidia-nvtx-cu12==12.4.127 ; python_version >= "3.11" and python_version < "3.13" and platform_system == "Linux" and platform_machine == "x86_64"
 packaging==24.2 ; python_version >= "3.11" and python_version < "3.13"
 pandas-flavor==0.6.0 ; python_version >= "3.11" and python_version < "3.13"
 pandas==2.2.3 ; python_version >= "3.11" and python_version < "3.13"
 patsy==1.0.1 ; python_version >= "3.11" and python_version < "3.13"
+pbs-installer==2025.2.12 ; python_version >= "3.11" and python_version < "3.13"
 pillow==11.1.0 ; python_version >= "3.11" and python_version < "3.13"
 pingouin==0.5.5 ; python_version >= "3.11" and python_version < "3.13"
-pkginfo==1.12.0 ; python_version >= "3.11" and python_version < "3.13"
+pkginfo==1.12.1.2 ; python_version >= "3.11" and python_version < "3.13"
 platformdirs==4.3.6 ; python_version >= "3.11" and python_version < "3.13"
-plotly==5.24.1 ; python_version >= "3.11" and python_version < "3.13"
+plotly==6.0.0 ; python_version >= "3.11" and python_version < "3.13"
 pluggy==1.5.0 ; python_version >= "3.11" and python_version < "3.13"
-poetry-core==2.0.1 ; python_version >= "3.11" and python_version < "3.13"
-poetry-plugin-export==1.8.0 ; python_version >= "3.11" and python_version < "3.13"
-poetry==2.0.1 ; python_version >= "3.11" and python_version < "3.13"
-propcache==0.2.1 ; python_version >= "3.11" and python_version < "3.13"
-psutil==6.1.1 ; python_version >= "3.11" and python_version < "3.13"
-pycparser==2.22 ; python_version >= "3.11" and python_version < "3.13" and (sys_platform == "darwin" or sys_platform == "linux") and (sys_platform == "darwin" or platform_python_implementation != "PyPy")
+poetry-core==2.1.1 ; python_version >= "3.11" and python_version < "3.13"
+poetry-plugin-export==1.9.0 ; python_version >= "3.11" and python_version < "3.13"
+poetry==2.1.1 ; python_version >= "3.11" and python_version < "3.13"
+propcache==0.3.0 ; python_version >= "3.11" and python_version < "3.13"
+psutil==7.0.0 ; python_version >= "3.11" and python_version < "3.13"
+pycparser==2.22 ; python_version >= "3.11" and python_version < "3.13" and (sys_platform == "linux" or sys_platform == "darwin" or platform_python_implementation == "PyPy")
 pyparsing==3.2.1 ; python_version >= "3.11" and python_version < "3.13"
 pyproject-hooks==1.2.0 ; python_version >= "3.11" and python_version < "3.13"
 pytest==7.4.4 ; python_version >= "3.11" and python_version < "3.13"
 python-dateutil==2.9.0.post0 ; python_version >= "3.11" and python_version < "3.13"
 pytorch-lightning==2.5.0.post0 ; python_version >= "3.11" and python_version < "3.13"
-pytz==2024.2 ; python_version >= "3.11" and python_version < "3.13"
+pytz==2025.1 ; python_version >= "3.11" and python_version < "3.13"
 pywin32-ctypes==0.2.3 ; python_version >= "3.11" and python_version < "3.13" and sys_platform == "win32"
 pyyaml==6.0.2 ; python_version >= "3.11" and python_version < "3.13"
-rapidfuzz==3.11.0 ; python_version >= "3.11" and python_version < "3.13"
+rapidfuzz==3.12.1 ; python_version >= "3.11" and python_version < "3.13"
 requests-toolbelt==1.0.0 ; python_version >= "3.11" and python_version < "3.13"
 requests==2.32.3 ; python_version >= "3.11" and python_version < "3.13"
 scikit-learn==1.6.1 ; python_version >= "3.11" and python_version < "3.13"
-scipy==1.15.0 ; python_version >= "3.11" and python_version < "3.13"
+scipy==1.15.2 ; python_version >= "3.11" and python_version < "3.13"
 seaborn==0.13.2 ; python_version >= "3.11" and python_version < "3.13"
 secretstorage==3.3.3 ; python_version >= "3.11" and python_version < "3.13" and sys_platform == "linux"
 setuptools==75.8.0 ; python_version >= "3.11" and python_version < "3.13"
 shellingham==1.5.4 ; python_version >= "3.11" and python_version < "3.13"
 six==1.17.0 ; python_version >= "3.11" and python_version < "3.13"
+sniffio==1.3.1 ; python_version >= "3.11" and python_version < "3.13"
 statsmodels==0.14.4 ; python_version >= "3.11" and python_version < "3.13"
-sympy==1.13.3 ; python_version >= "3.11" and python_version < "3.13"
+sympy==1.13.1 ; python_version >= "3.11" and python_version < "3.13"
 tabulate==0.9.0 ; python_version >= "3.11" and python_version < "3.13"
-tenacity==9.0.0 ; python_version >= "3.11" and python_version < "3.13"
 threadpoolctl==3.5.0 ; python_version >= "3.11" and python_version < "3.13"
 toml==0.10.2 ; python_version >= "3.11" and python_version < "3.13"
 tomlkit==0.13.2 ; python_version >= "3.11" and python_version < "3.13"
 torch-geometric==2.6.1 ; python_version >= "3.11" and python_version < "3.13"
-torch==2.4.0 ; python_version >= "3.11" and python_version < "3.13"
+torch==2.6.0 ; python_version >= "3.11" and python_version < "3.13"
 torchmetrics==1.6.1 ; python_version >= "3.11" and python_version < "3.13"
 tornado==6.4.2 ; python_version >= "3.11" and python_version < "3.13"
 tqdm==4.67.1 ; python_version >= "3.11" and python_version < "3.13"
-triton==3.0.0 ; platform_system == "Linux" and platform_machine == "x86_64" and python_version < "3.13" and python_version >= "3.11"
-trove-classifiers==2025.1.7.14 ; python_version >= "3.11" and python_version < "3.13"
+triton==3.2.0 ; python_version >= "3.11" and python_version < "3.13" and platform_system == "Linux" and platform_machine == "x86_64"
+trove-classifiers==2025.2.18.16 ; python_version >= "3.11" and python_version < "3.13"
 typing-extensions==4.12.2 ; python_version >= "3.11" and python_version < "3.13"
-tzdata==2024.2 ; python_version >= "3.11" and python_version < "3.13"
+tzdata==2025.1 ; python_version >= "3.11" and python_version < "3.13"
 urllib3==2.3.0 ; python_version >= "3.11" and python_version < "3.13"
 virtualenv==20.29.2 ; python_version >= "3.11" and python_version < "3.13"
-xarray==2025.1.1 ; python_version >= "3.11" and python_version < "3.13"
+xarray==2025.1.2 ; python_version >= "3.11" and python_version < "3.13"
 xattr==1.1.4 ; python_version >= "3.11" and python_version < "3.13" and sys_platform == "darwin"
-xyzservices==2024.9.0 ; python_version >= "3.11" and python_version < "3.13"
+xyzservices==2025.1.0 ; python_version >= "3.11" and python_version < "3.13"
 yarl==1.18.3 ; python_version >= "3.11" and python_version < "3.13"
-zipp==3.21.0 ; python_version >= "3.11" and python_version < "3.12"
+zipp==3.21.0 ; python_version == "3.11"
+zstandard==0.23.0 ; python_version >= "3.11" and python_version < "3.13"
diff --git a/tests/individual_models/conftest.py b/tests/individual_models/conftest.py
index ea1025ef..3f2beb66 100644
--- a/tests/individual_models/conftest.py
+++ b/tests/individual_models/conftest.py
@@ -21,6 +21,7 @@ def sample_dataset() -> tuple[DrugResponseDataset, FeatureDataset, FeatureDatase
     """
     path_data = "../data"
     drug_response = load_toy(path_data)
+    drug_response.remove_nan_responses()
     cell_line_input = get_multiomics_feature_dataset(data_path=path_data, dataset_name="Toy_Data", gene_list=None)
     cell_line_ids = load_cl_ids_from_csv(path=path_data, dataset_name="Toy_Data")
     cell_line_input.add_features(cell_line_ids)
diff --git a/tests/individual_models/test_baselines.py b/tests/individual_models/test_baselines.py
index 9639beb2..d9a3fcca 100644
--- a/tests/individual_models/test_baselines.py
+++ b/tests/individual_models/test_baselines.py
@@ -28,6 +28,7 @@
         "NaivePredictor",
         "NaiveDrugMeanPredictor",
         "NaiveCellLineMeanPredictor",
+        "NaiveMeanEffectsPredictor",
         "ElasticNet",
         "RandomForest",
         "SVR",
@@ -86,6 +87,8 @@ def test_baselines(
             drug_input,
             test_mode,
         )
+    elif model_name == "NaiveMeanEffectsPredictor":
+        _call_naive_mean_effects_predictor(train_dataset, val_dataset, cell_line_input, drug_input, test_mode)
     else:
         _call_other_baselines(
             model_name,
@@ -97,7 +100,12 @@ def test_baselines(
 
 
 @pytest.mark.parametrize(
-    "model_name", ["SingleDrugRandomForest", "SingleDrugElasticNet", "SingleDrugProteomicsElasticNet"]
+    "model_name",
+    [
+        "SingleDrugRandomForest",
+        "SingleDrugElasticNet",
+        "SingleDrugProteomicsElasticNet",
+    ],
 )
 @pytest.mark.parametrize("test_mode", ["LPO", "LCO"])
 def test_single_drug_baselines(
@@ -120,9 +128,19 @@ def test_single_drug_baselines(
     train_dataset = split["train"]
     val_dataset = split["validation"]
 
+    cell_lines_to_keep = cell_line_input.identifiers
+    drugs_to_keep = drug_input.identifiers
+
+    len_train_before = len(train_dataset)
+    len_pred_before = len(val_dataset)
+    train_dataset.reduce_to(cell_line_ids=cell_lines_to_keep, drug_ids=drugs_to_keep)
+    val_dataset.reduce_to(cell_line_ids=cell_lines_to_keep, drug_ids=drugs_to_keep)
+    print(f"Reduced training dataset from {len_train_before} to {len(train_dataset)}")
+    print(f"Reduced val dataset from {len_pred_before} to {len(val_dataset)}")
+
     all_unique_drugs = np.unique(train_dataset.drug_ids)
     # randomly sample a drug to speed up testing
-    np.random.seed(42)
+    np.random.seed(123)
     np.random.shuffle(all_unique_drugs)
     random_drug = all_unique_drugs[:1]
 
@@ -153,10 +171,13 @@ def test_single_drug_baselines(
         cell_line_ids=val_dataset.cell_line_ids[val_mask],
         cell_line_input=cell_line_input,
     )
-    pcc_drug = pearson(val_dataset.response[val_mask], all_predictions[val_mask])
-    print(f"{test_mode}: Performance of {model_name} for drug {random_drug}: PCC = {pcc_drug}")
-
-    assert pcc_drug >= -1.0
+    # check whether predictions are constant
+    if np.all(all_predictions[val_mask] == all_predictions[val_mask][0]):
+        print("Predictions are constant")
+    else:
+        pcc_drug = pearson(val_dataset.response[val_mask], all_predictions[val_mask])
+        print(f"{test_mode}: Performance of {model_name} for drug {random_drug}: PCC = {pcc_drug}")
+        assert pcc_drug >= -1.0
 
 
 def _call_naive_predictor(
@@ -316,33 +337,22 @@ def _call_other_baselines(
 
 
 @pytest.mark.parametrize("test_mode", ["LPO", "LCO", "LDO"])
-def test_naive_anova_predictor(
-    sample_dataset: tuple[DrugResponseDataset, FeatureDataset, FeatureDataset], test_mode: str
+def _call_naive_mean_effects_predictor(
+    train_dataset: DrugResponseDataset,
+    val_dataset: DrugResponseDataset,
+    cell_line_input: FeatureDataset,
+    drug_input: FeatureDataset,
+    test_mode: str,
 ) -> None:
     """
     Test the NaiveMeanEffectsPredictor model.
 
-    :param sample_dataset: from conftest.py
+    :param train_dataset: training dataset
+    :param val_dataset: validation dataset
+    :param cell_line_input: features cell lines
+    :param drug_input: features drugs
     :param test_mode: either LPO, LCO, or LDO
     """
-    drug_response, cell_line_input, drug_input = sample_dataset
-    drug_response.split_dataset(n_cv_splits=5, mode=test_mode)
-
-    assert drug_response.cv_splits is not None
-    split = drug_response.cv_splits[0]
-    train_dataset = split["train"]
-    val_dataset = split["validation"]
-
-    cell_lines_to_keep = cell_line_input.identifiers
-    drugs_to_keep = drug_input.identifiers
-
-    len_train_before = len(train_dataset)
-    len_pred_before = len(val_dataset)
-    train_dataset.reduce_to(cell_line_ids=cell_lines_to_keep, drug_ids=drugs_to_keep)
-    val_dataset.reduce_to(cell_line_ids=cell_lines_to_keep, drug_ids=drugs_to_keep)
-    print(f"Reduced training dataset from {len_train_before} to {len(train_dataset)}")
-    print(f"Reduced val dataset from {len_pred_before} to {len(val_dataset)}")
-
     naive = NaiveMeanEffectsPredictor()
     naive.train(output=train_dataset, cell_line_input=cell_line_input, drug_input=drug_input)
     val_dataset._predictions = naive.predict(
diff --git a/tests/individual_models/test_simple_neural_network.py b/tests/individual_models/test_simple_neural_network.py
index 357b5a3d..8fca61e9 100644
--- a/tests/individual_models/test_simple_neural_network.py
+++ b/tests/individual_models/test_simple_neural_network.py
@@ -50,6 +50,7 @@ def test_simple_neural_network(
     hpams = model.get_hyperparameter_set()
     hpam_combi = hpams[0]
     hpam_combi["units_per_layer"] = [2, 2]
+    hpam_combi["max_epochs"] = 1
     model.build_model(hyperparameters=hpam_combi)
 
     with tempfile.TemporaryDirectory() as tmpdirname:
diff --git a/tests/test_available_data.py b/tests/test_available_data.py
index 53301a13..32a441ed 100644
--- a/tests/test_available_data.py
+++ b/tests/test_available_data.py
@@ -11,25 +11,48 @@ def test_factory() -> None:
     assert "GDSC2" in AVAILABLE_DATASETS
     assert "CCLE" in AVAILABLE_DATASETS
     assert "Toy_Data" in AVAILABLE_DATASETS
-    assert len(AVAILABLE_DATASETS) == 4
+    assert "CTRPv1" in AVAILABLE_DATASETS
+    assert "CTRPv2" in AVAILABLE_DATASETS
+    assert len(AVAILABLE_DATASETS) == 6
 
 
 def test_gdsc1() -> None:
     """Test the GDSC1 dataset."""
     tempdir = tempfile.TemporaryDirectory()
     gdsc1 = AVAILABLE_DATASETS["GDSC1"](path_data=tempdir.name)
-    assert len(gdsc1) == 333161
+    assert len(gdsc1) == 316506
 
 
 def test_gdsc2():
     """Test the GDSC2 dataset."""
     tempdir = tempfile.TemporaryDirectory()
     gdsc2 = AVAILABLE_DATASETS["GDSC2"](path_data=tempdir.name)
-    assert len(gdsc2) == 242036
+    assert len(gdsc2) == 234436
 
 
 def test_ccle():
     """Test the CCLE dataset."""
     tempdir = tempfile.TemporaryDirectory()
     ccle = AVAILABLE_DATASETS["CCLE"](path_data=tempdir.name)
-    assert len(ccle) == 12096
+    assert len(ccle) == 11670
+
+
+def test_ctrpv1():
+    """Test the CTRPv1 dataset."""
+    tempdir = tempfile.TemporaryDirectory()
+    ctrpv1 = AVAILABLE_DATASETS["CTRPv1"](path_data=tempdir.name)
+    assert len(ctrpv1) == 60757
+
+
+def test_ctrpv2():
+    """Test the CTRPv2 dataset."""
+    tempdir = tempfile.TemporaryDirectory()
+    ctrpv2 = AVAILABLE_DATASETS["CTRPv2"](path_data=tempdir.name)
+    assert len(ctrpv2) == 395024
+
+
+def test_toy_data():
+    """Test the Toy_Data dataset."""
+    tempdir = tempfile.TemporaryDirectory()
+    toy_data = AVAILABLE_DATASETS["Toy_Data"](path_data=tempdir.name)
+    assert len(toy_data) == 3426
diff --git a/tests/test_drp_model.py b/tests/test_drp_model.py
index 35cd0dcd..32db04e4 100644
--- a/tests/test_drp_model.py
+++ b/tests/test_drp_model.py
@@ -151,10 +151,9 @@ def test_iterate_features() -> None:
     """Test the iteration over features."""
     df = pd.DataFrame({"GeneA": [1, 2, 3, 2], "GeneB": [4, 5, 6, 2], "GeneC": [7, 8, 9, 2]})
     df.index = ["CellLine1", "CellLine2", "CellLine3", "CellLine1"]
-    with pytest.warns(UserWarning):
-        features = iterate_features(df, "gene_expression")
+    features = iterate_features(df, "gene_expression")
     assert len(features) == 3
-    assert np.all(features["CellLine1"]["gene_expression"] == [1, 4, 7])
+    assert np.all(features["CellLine1"]["gene_expression"] == [1.5, 3, 4.5])
 
 
 def test_load_drug_ids_from_csv() -> None:
@@ -178,27 +177,27 @@ def test_load_drugs_from_fingerprints() -> None:
         temp.name,
         "GDSC1_small",
         "drug_fingerprints",
-        "drug_name_to_demorgan_128_map.csv",
+        "pubchem_id_to_demorgan_128_map.csv",
     )
     with open(temp_file, "w") as f:
         f.write(
-            ",Zibotentan,AZD1208,CI-1040,A-83-01,GSK269962A\n"
-            "0,1,1,1,1,1\n"
-            "1,1,1,0,0,1\n"
-            "2,0,1,1,0,1\n"
-            "3,1,0,1,1,1\n"
-            "4,1,1,0,1,1\n"
+            "3827738,5311510,46883536,73707530,16720766\n"
+            "1,1,1,1,1\n"
+            "1,1,0,0,1\n"
+            "0,1,1,0,1\n"
+            "1,0,1,1,1\n"
+            "1,1,0,1,1\n"
         )
     drug_features_gdsc1 = load_drug_fingerprint_features(temp.name, "GDSC1_small")
     assert len(drug_features_gdsc1.features) == 5
     assert drug_features_gdsc1.features.keys() == {
-        "Zibotentan",
-        "AZD1208",
-        "CI-1040",
-        "A-83-01",
-        "GSK269962A",
+        "3827738",
+        "5311510",
+        "46883536",
+        "73707530",
+        "16720766",
     }
-    assert np.all(drug_features_gdsc1.features["Zibotentan"]["fingerprints"] == [1, 1, 0, 1, 1])
+    assert np.all(drug_features_gdsc1.features["3827738"]["fingerprints"] == [1, 1, 0, 1, 1])
 
 
 @pytest.mark.parametrize(
diff --git a/tests/test_evaluation.py b/tests/test_evaluation.py
index 2fcbba71..8928e5ca 100644
--- a/tests/test_evaluation.py
+++ b/tests/test_evaluation.py
@@ -248,7 +248,7 @@ def test_kendall_uncorrelated(generate_mock_uncorrelated_data):
 
 
 def test_correlations_constant_prediction(
-    generate_mock_data_constant_prediction: tuple[np.ndarray, np.ndarray]
+    generate_mock_data_constant_prediction: tuple[np.ndarray, np.ndarray],
 ) -> None:
     """
     Test the correlation functions with constant prediction.
diff --git a/tests/test_run_suite.py b/tests/test_run_suite.py
index 87d31afa..9ad1173c 100644
--- a/tests/test_run_suite.py
+++ b/tests/test_run_suite.py
@@ -32,7 +32,7 @@
             "response_transformation": "None",
             "multiprocessing": False,
             "path_data": "../data",
-            "model_checkpoint_dir": "None",
+            "model_checkpoint_dir": "TEMPORARY",
         }
     ],
 )
@@ -53,7 +53,7 @@ def test_run_suite(args):
         evaluation_results_per_drug,
         evaluation_results_per_cell_line,
         true_vs_pred,
-    ) = parse_results(path_to_results=os.path.join(temp_dir.name, args.run_id, args.dataset_name))
+    ) = parse_results(path_to_results=os.path.join(temp_dir.name, args.run_id), dataset="Toy_Data")
 
     (
         evaluation_results,