if (rootModel == null) {
            rootModel = source;
        }
    }

    private String getSource() {
        if (source == null && sourceModel != null) {
            source = ModelProblemUtils.toPath(sourceModel);
        }
        return source;
    }

    private String getModelId() {
        return ModelProblemUtils.toId(sourceModel);
    }

    public void setRootModel(Model rootModel) {

			continue
		}
		if parity != tt.expectedParity {
			t.Errorf("Test %d, Expected parity drives %d, got %d", i+1, tt.expectedParity, parity)
		}
	}
}

// Test IsValid method with valid and invalid inputs
func TestIsValidStorageClassKind(t *testing.T) {
	tests := []struct {
		sc   string
		want bool
	}{
		{"STANDARD", true},
		{"REDUCED_REDUNDANCY", true},
		{"", false},
		{"INVALID", false},

    <dependency>
      <groupId>org.slf4j</groupId>
      <artifactId>slf4j-simple</artifactId>
      <scope>test</scope>
    </dependency>
    <dependency>
      <groupId>commons-jxpath</groupId>
      <artifactId>commons-jxpath</artifactId>
      <scope>test</scope>
    </dependency>
    <dependency>
      <groupId>org.xmlunit</groupId>
      <artifactId>xmlunit-assertj</artifactId>
      <scope>test</scope>

      if (MappedRange.InlineDelta.MAX_VALUE >= abs(codePointDelta)) {
        return MappedRange.InlineDelta(mapping.rangeStart, codePointDelta)
      }
    }
  }
  return null
}

/**
 * Inputs must have applied [withoutSectionSpans].
 */
internal fun sections(mappings: List<Mapping>): Map<Int, List<MappedRange>> {
  val result = mutableMapOf<Int, MutableList<MappedRange>>()

  for (mapping in mappings) {

	}, {
		input: makeInput(FormatGNU, "",
			makeSparseStrings(sparseDatas{{10 << 30, 512}, {20 << 30, 512}})...),
		wantMap: sparseDatas{{10 << 30, 512}, {20 << 30, 512}},
	}}

	for i, v := range vectors {
		var blk block
		var hdr Header
		v.input = v.input[copy(blk[:], v.input):]
		tr := Reader{r: bytes.NewReader(v.input)}
		got, err := tr.readOldGNUSparseMap(&hdr, &blk)
		if !slices.Equal(got, v.wantMap) {

/**
 * Tests for {@link HostAndPort}
 *
 * @author Paul Marks
 */
@GwtCompatible
public class HostAndPortTest extends TestCase {

  public void testFromStringWellFormed() {
    // Well-formed inputs.
    checkFromStringCase("google.com", 80, "google.com", 80, false);
    checkFromStringCase("google.com", 80, "google.com", 80, false);
    checkFromStringCase("192.0.2.1", 82, "192.0.2.1", 82, false);

import java.util.Random;
import junit.framework.TestSuite;

/**
 * A generator of {@code TestSuite} instances for testing {@code ByteSource} implementations.
 * Generates tests of all methods on a {@code ByteSource} given various inputs the source is
 * expected to contain as well as sub-suites for testing the {@code CharSource} view and {@code
 * slice()} views in the same way.
 *
 * @author Colin Decker
 */

    *   Switched Keras `fit/evaluate/predict` execution to use only a single
        unified path by default unless eager execution has been explicitly
        disabled, regardless of input type. This unified path places an
        eager-friendly training step inside of a `tf.function`. With this
    *   All input types are converted to `Dataset`.
    *   The path assumes there is always a distribution strategy. when

## Importer Path

Tout d'abord, importez `Path` de `fastapi`, et importez `Annotated` :

{* ../../docs_src/path_params_numeric_validations/tutorial001_an_py310.py hl[1,3] *}

/// info

### Using the *path operation function* name as the operationId

If you want to use your APIs' function names as `operationId`s, you can iterate over all of them and override each *path operation's* `operation_id` using their `APIRoute.name`.

You should do it after adding all your *path operations*.

```Python hl_lines="2  12-21  24"
{!../../docs_src/path_operation_advanced_configuration/tutorial002.py!}
```

/// tip