code: def testCompileMinCount(self, trigger_strategy):
      class DummyComponentSpec(component_spec.ComponentSpec):
          INPUTS = {
              "required": component_spec.ChannelParameter(
                  DummyArtifact, optional=False
              ),
              "optional_but_not_allow_empty": component_spec.ChannelParameter(
                  DummyArtifact, optional=True, allow_empty=False
              ),
              "optional_and_allow_empty": component_spec.ChannelParameter(
                  DummyArtifact, optional=True, allow_empty=True
              ),
          }
          OUTPUTS = {}
          PARAMETERS = {}
  
      class DummyComponent(base_component.BaseComponent):
          SPEC_CLASS = DummyComponentSpec
          EXECUTOR_SPEC = executor_spec.ExecutorSpec()
  
          def __init__(self, **inputs):
              super().__init__(DummyComponentSpec(**inputs))
  
      producer = DummyNode("Producer")
      optional_producer = DummyNode("OptionalProducer")
      optional_producer.node_execution_options = (
          execution_options_utils.NodeExecutionOptions(
              success_optional=True
          )
      )
      c1 = DummyComponent(required=producer.output("x")).with_id(
          "Consumer1"
      )
      c2 = DummyComponent(
          required=producer.output("x"),
          optional_but_not_allow_empty=producer.output("x"),
      ).with_id("Consumer2")
      c3 = DummyComponent(
          required=producer.output("x"),
          optional_and_allow_empty=producer.output("x"),
      ).with_id("Consumer3")
      c4 = DummyComponent(
          required=optional_producer.output("x")
      ).with_id("Consumer4")
      c5 = DummyComponent(required=producer.output("x")).with_id(
          "Consumer5"
      )
      c5.node_execution_options = (
          execution_options_utils.NodeExecutionOptions(
              trigger_strategy=trigger_strategy
          )
      )
  
      p = self._prepare_pipeline(
          [producer, optional_producer, c1, c2, c3, c4, c5]
      )
      ctx = compiler_context.PipelineContext(p)
      # Add dummy already compiled output channels to compiler context.
      ctx.channels[
          producer.output("x")
      ] = pipeline_pb2.InputSpec.Channel()
      ctx.channels[
          optional_producer.output("x")
      ] = pipeline_pb2.InputSpec.Channel()
  
      r1 = pipeline_pb2.NodeInputs()
      node_inputs_compiler.compile_node_inputs(ctx, c1, r1)
      r2 = pipeline_pb2.NodeInputs()
      node_inputs_compiler.compile_node_inputs(ctx, c2, r2)
      r3 = pipeline_pb2.NodeInputs()
      node_inputs_compiler.compile_node_inputs(ctx, c3, r3)
  
      self.assertEqual(r1.inputs["required"].min_count, 1)
      self.assertEqual(
          r2.inputs["optional_but_not_allow_empty"].min_count, 1
      )
      self.assertEqual(
          r2.inputs["optional_and_allow_empty"].min_count, 0
      )
      # Validation should catch invalid min counts against node_execution_options.
      with self.assertRaises(ValueError):
          r4 = pipeline_pb2.NodeInputs()
          node_inputs_compiler.compile_node_inputs(ctx, c4, r4)
      with self.assertRaises(ValueError):
          r5 = pipeline_pb2.NodeInputs()
          node_inputs_compiler.compile_node_inputs(ctx, c5, r5)
  
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 16 for calling the NodeInputsCompilerTest obj's underlying member method code with example usage: obj.testCompileMinCount(trigger_strategy) without return types