code: def create_homogeneous_static_graph(
      cls,
      nodes_data: _typing.Mapping[str, torch.Tensor],
      edges_connections: torch.Tensor,
      edges_data: _typing.Optional[
          _typing.Mapping[str, torch.Tensor]
      ] = ...,
      graph_data: _typing.Optional[
          _typing.Mapping[str, torch.Tensor]
      ] = ...,
  ) -> _general_static_graph.GeneralStaticGraph:
      _heterogeneous_nodes_container: HeterogeneousNodesContainer = (
          HeterogeneousNodesContainerImplementation({"": nodes_data})
      )
      _heterogeneous_edges_aggregation: HeterogeneousEdgesAggregation = (
          HeterogeneousEdgesAggregationImplementation()
      )
      _heterogeneous_edges_aggregation[
          ("", "", "")
      ] = HomogeneousEdgesContainerImplementation(
          edges_connections, edges_data
      )
      return GeneralStaticGraphImplementation(
          _heterogeneous_nodes_container,
          _heterogeneous_edges_aggregation,
          StaticGraphDataAggregation(graph_data),
      )
  
imports: import torch
  import typing
  from .None import _general_static_graph
  from ._general_static_graph_default_implementation import HeterogeneousNodesContainer, HeterogeneousNodesContainerImplementation, HomogeneousEdgesContainerImplementation, HeterogeneousEdgesAggregation, HeterogeneousEdgesAggregationImplementation, StaticGraphDataAggregation, GeneralStaticGraphImplementation
label_desc: Use image node_id 2 for calling the GeneralStaticGraphGenerator obj's underlying member method code with example usage: obj.create_homogeneous_static_graph(cls, nodes_data, edges_connections, edges_data, graph_data) and returns: GeneralStaticGraphImplementation