import static eu.maveniverse.domtrip.maven.MavenPomElements.ModelVersions.MODEL_VERSION_4_1_0;

/**
 * Strategy for applying Maven inference optimizations.
 * For 4.0.0 models: applies limited inference (parent-related only).
 * For 4.1.0+ models: applies full inference optimizations.
 * Removes redundant information that can be inferred by Maven during model building.
 */
@Named
@Singleton
@Priority(30)

 * If a plugin version is defined via a property, the property value is updated instead.
 *
 * <h3>Inference Optimizations (Optional)</h3>
 * When {@code --infer} option is enabled, applies inference optimizations to remove redundant information:
 *
 * <h4>Limited Inference for 4.0.0 Models (Maven 3.x POMs)</h4>
 * <ul>

import static org.mockito.Mockito.mock;
import static org.mockito.Mockito.when;

/**
 * Unit tests for the {@link InferenceStrategy} class.
 * Tests Maven 4.1.0+ inference optimizations including dependency and parent inference.
 */
@DisplayName("InferenceStrategy")
class InferenceStrategyTest {

    private InferenceStrategy strategy;

    @BeforeEach
    void setUp() {

        }
    }

    @Nested
    @DisplayName("Inference Eligibility")
    class InferenceEligibilityTests {

        @ParameterizedTest(name = "for model version {0}")
        @ValueSource(strings = {"4.0.0", "4.1.0"})
        @DisplayName("should determine inference eligibility correctly")
        void shouldDetermineInferenceEligibilityCorrectly(String modelVersion) {

func (v *Value) InferBytesType() (err error) {
	b, ok := v.ToBytes()
	if !ok {
		return fmt.Errorf("InferByteType: Input is not bytes, but %v", v.GetTypeString())
	}

	// Check for numeric inference
	if x, ok := v.bytesToInt(); ok {
		v.setInt(x)
		return nil
	}
	if x, ok := v.bytesToFloat(); ok {
		v.setFloat(x)
		return nil
	}
	if x, ok := v.bytesToBool(); ok {
		v.setBool(x)

// `shape_inference::InferenceContext` constructor. Note the following:
//   - The inputs of the `op` are not used for shape inference. So, it is
//     OK to not have the inputs properly set in `op`. See `input_tensors`
//     if you want shape inference to consider the input tensors of the
//     op for shape inference.
//   - The types need not be set in `input_shapes` as it is not used.

  }

  ~ShapeInferenceTest() override {
    TFE_DeleteContextOptions(tfe_context_options_);
    TFE_DeleteContext(tfe_context_);
    TF_DeleteStatus(status_);
  }

  // Checks the expected result of shape inference for the given `op`.
  void CheckOutputShapes(
      TFE_Op* op,
      const std::vector<absl::optional<std::vector<int64_t>>>& input_shapes_vec,
      const std::vector<TF_Tensor*>& input_tensors,

      status->status = TF_TensorToTensor(input_tensors[i], &input_tensor);
      if (!status->status.ok()) return;
      input_tensors_vector[i] = &input_tensor;
    }
  }

  // Create an inference context with dummy values, which will be updated later.
  InferenceContext c(TF_GRAPH_DEF_VERSION, node_def, op_reg_data->op_def,
                     std::vector<ShapeHandle>(num_inputs), input_tensors_vector,

<span style="color: green;">INFO</span>:     Waiting for application startup.
<span style="color: green;">INFO</span>:     Application startup complete.
```

</div>

/// note

La commande `uvicorn main:app` fait référence à :

* `main` : le fichier `main.py` (le module Python).
* `app` : l'objet créé dans `main.py` via la ligne `app = FastAPI()`.

          <version>1.0.0+</version>
          <type>String</type>
          <description>Reference the invocation phase of the Mojo.</description>
        </field>
        <field>
          <name>executeGoal</name>
          <version>1.0.0+</version>
          <type>String</type>
          <description>Reference the invocation goal of the Mojo.</description>
        </field>
        <field>