#     dynamic_kernels:  Try to link all kernels dynamically (experimental).
#     dbg:              Build with debug info
#
# TF version options;
#     v2: Build TF v2
#
# Feature and Third party library support options:
#     xla:          Build TF with XLA
#     tpu:          Build TF with TPU support
#     cuda:         Build with CUDA support.

[kotlin_1_9_23]: https://github.com/JetBrains/kotlin/releases/tag/v1.9.23
[kotlin_2_1_21]: https://github.com/JetBrains/kotlin/releases/tag/v2.1.21
[kotlin_2_2_0]: https://github.com/JetBrains/kotlin/releases/tag/v2.2.0
[kotlin_2_2_20]: https://github.com/JetBrains/kotlin/releases/tag/v2.2.20
[kotlin_2_2_21]: https://github.com/JetBrains/kotlin/releases/tag/v2.2.21
[loom]: https://docs.oracle.com/en/java/javase/21/core/virtual-threads.html

if (_os.getenv("TF_USE_MODULAR_FILESYSTEM", "0") == "true" or
    _os.getenv("TF_USE_MODULAR_FILESYSTEM", "0") == "1"):
  import tensorflow_io_gcs_filesystem as _tensorflow_io_gcs_filesystem

# Lazy-load Keras v2/3.
_tf_uses_legacy_keras = (
    _os.environ.get("TF_USE_LEGACY_KERAS", None) in ("true", "True", "1"))
setattr(_current_module, "keras", _KerasLazyLoader(globals()))

    "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

    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"):

	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() {

            .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