code: def _compile_node_inputs(
      self, node, components=None
  ) -> pipeline_pb2.NodeInputs:
      if not components:
          components = [node]
      p = self._prepare_pipeline(components)
      ctx = compiler_context.PipelineContext(p)
      result = pipeline_pb2.NodeInputs()
      node_inputs_compiler.compile_node_inputs(ctx, node, result)
      return result
  
imports: from typing import List, Type
  from absl.testing import parameterized
  import tensorflow
  from tfx import types
  from tfx.dsl.compiler import compiler_context
  from tfx.dsl.compiler import node_inputs_compiler
  from tfx.dsl.components.base import base_component
  from tfx.dsl.components.base import base_node
  from tfx.dsl.components.base import executor_spec
  from tfx.dsl.control_flow import for_each
  from tfx.dsl.experimental.conditionals import conditional
  from tfx.dsl.experimental.node_execution_options import utils
  from tfx.dsl.input_resolution import resolver_function
  from tfx.dsl.input_resolution import resolver_op
  from tfx.dsl.placeholder import placeholder
  from tfx.orchestration import pipeline
  from tfx.proto.orchestration import pipeline_pb2
  from tfx.types import channel
  from tfx.types import channel_utils
  from tfx.types import component_spec
  from tfx.types import standard_artifacts
  from google.protobuf import text_format
label_desc: Use image node_id 2 for calling the NodeInputsCompilerTest obj's underlying member method code with example usage: obj._compile_node_inputs(node, components) and returns: result