diff --git a/pyproject.toml b/pyproject.toml
index 7123b0750..ffe50d244 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -7,7 +7,7 @@ build-backend = "setuptools.build_meta"
 
 [project]
 name = "chakra"
-requires-python = ">=3.7"
+requires-python = ">=3.10"
 version = "1.0.0"
 readme = "README.md"
 license = {file = "LICENSE.md"}
@@ -49,7 +49,7 @@ chakra_trace_link = "chakra.src.trace_link.trace_link:main"
 chakra_visualizer = "chakra.src.visualizer.visualizer:main"
 
 [tool.ruff]
-target-version = "py39"
+target-version = "py310"
 line-length = 120
 exclude = [
     "src/converter/text_converter.py",
diff --git a/setup.py b/setup.py
index cf2036f1c..1be724b2b 100644
--- a/setup.py
+++ b/setup.py
@@ -1,6 +1,7 @@
 from setuptools import setup
 from setuptools.command.build import build
 
+
 class build_grpc(build):
     """
     Custom build class to include gRPC build commands.
diff --git a/src/converter/pytorch_node.py b/src/converter/pytorch_node.py
index cb7bab703..f366421db 100644
--- a/src/converter/pytorch_node.py
+++ b/src/converter/pytorch_node.py
@@ -47,7 +47,13 @@ class PyTorchNode:
         pg_name (str): Process Group name for the inter-GPU communication.
     """
 
-    SUPPORTED_VERSIONS = ["1.0.2-chakra.0.0.4", "1.0.3-chakra.0.0.4", "1.1.0-chakra.0.0.4", "1.1.1-chakra.0.0.4", "1.1.1-chakra.1.0.0"]
+    SUPPORTED_VERSIONS = [
+        "1.0.2-chakra.0.0.4",
+        "1.0.3-chakra.0.0.4",
+        "1.1.0-chakra.0.0.4",
+        "1.1.1-chakra.0.0.4",
+        "1.1.1-chakra.1.0.0"
+    ]
 
     def __init__(self, schema: str, node_data: Dict[str, Any]) -> None:
         """
@@ -218,7 +224,7 @@ def comm_size(self) -> int:
             int: The calculated communication size.
         """
         comm_size = 0
-        for input_value, input_type in zip(self.inputs["values"], self.inputs["types"]):
+        for input_value, input_type in zip(self.inputs["values"], self.inputs["types"], strict=False):
             if "Tensor" in input_type:
                 if input_type.startswith("GenericList[Tensor"):
                     for inner_value in input_value: