.expectedValuesPerKey(2)
            .orderValuesBy(Ordering.natural());
    HashHostileComparable v1 = new HashHostileComparable("value1");
    HashHostileComparable v2 = new HashHostileComparable("value2");
    builder.put("key", v1);
    builder.put("key", v2);
    assertThat(builder.build().entries()).hasSize(2);
  }

  public void testBuilder_withImmutableEntry() {
    ImmutableSetMultimap<String, Integer> multimap =

### Replicating Deletes

    return e1().getKey();
  }

  protected final V v1() {
    return e1().getValue();
  }

  protected final K k2() {
    return e2().getKey();
  }

  protected final V v2() {
    return e2().getValue();
  }

  protected final K k3() {
    return e3().getKey();
  }

  protected final V v3() {
    return e3().getValue();
  }

  protected final K k4() {

    "price": 50.2
}
```

/// info | Информация

В Pydantic v1 метод назывался `.dict()`, в Pydantic v2 он был помечен как устаревший (но всё ещё поддерживается) и переименован в `.model_dump()`.

Примеры здесь используют `.dict()` для совместимости с Pydantic v1, но если вы используете Pydantic v2, применяйте `.model_dump()`.

///

/// info | Информация

          # See https://cloud.google.com/architecture/using-container-images#exploring_image_manifests_digests_and_tags
          echo -n "Trying to map name $1 to tag $2... "
          digest=$(curl -s --head "https://gcr.io/v2/tensorflow-sigs/build/manifests/$2" | egrep -o "sha256:[[:alnum:]]*")
          # Find the line matching the regex "sigbuild-r2.9" (with quotes) and
          # replace just the digest portion in it

				}
			case 1, 2:
				v, b, err := msgp.ReadBytesZC(b)
				if err != nil {
					return nil, err
				}
				if _, nbuf, err := msgp.ReadUint32Bytes(b); err == nil {
					// Read metadata CRC (added in v2, ignore if not found)
					b = nbuf
				}

				_, err = msgp.CopyToJSON(buf, bytes.NewReader(v))
				if err != nil {
					return nil, err
				}
				data = b
			case 3:

	report()
	fatalErr(err)

	// At this point the version stack must look as below,
	// v3 --> free version      00000000-0000-0000-0000-0000000000f2 (from removal of null version)
	// v2 --> free version      00000000-0000-0000-0000-0000000000f1 (from overwriting of null version )
	// v1 --> non-free version  00000000-0000-0000-0000-000000000001

	// Check number of free-versions

    return e1().getKey();
  }

  protected final V v1() {
    return e1().getValue();
  }

  protected final K k2() {
    return e2().getKey();
  }

  protected final V v2() {
    return e2().getValue();
  }

  protected final K k3() {
    return e3().getKey();
  }

  protected final V v3() {
    return e3().getValue();
  }

  protected final K k4() {

# Hook external TensorFlow modules.
# Import compat before trying to import summary from tensorboard, so that
# reexport_tf_summary can get compat from sys.modules. Only needed if using
# lazy loading.
_current_module.compat.v2  # pylint: disable=pointless-statement

# Load tensorflow-io-gcs-filesystem if enabled
if (_os.getenv("TF_USE_MODULAR_FILESYSTEM", "0") == "true" or
    _os.getenv("TF_USE_MODULAR_FILESYSTEM", "0") == "1"):

                final String[] v1 = s.split("=");
                if (v1.length == 2) {
                    final String[] v2 = v1[0].split(":", 2);
                    if (v2.length == 2) {
                        return new Tuple3<>(v2[0].trim(), v2[1].trim(), v1[1].replaceAll("[^a-zA-Z0-9_]", StringUtil.EMPTY).trim());
                    }
                }
                return null;