### Create Pydantic *models* / schemas for reading / returning

Now create Pydantic *models* (schemas) that will be used when reading data, when returning it from the API.

For example, before creating an item, we don't know what will be the ID assigned to it, but when reading it (when returning it from the API) we will already know its ID.

		ver := &x.versions[i]
		_, err = ver.header.unmarshalV(headerV, hdr)
		if err != nil {
			return err
		}
		ver.meta = meta

		// Fix inconsistent x-minio-internal-replication-timestamp by loading and reindexing.
		if metaV < 2 && ver.header.Type == DeleteType {
			// load (and convert) version.
			version, err := x.getIdx(i)
			if err == nil {
				// Only reindex if set.

        shape_handle, static_cast<DataType>(types[i]));
  }

  ic->set_output_handle_shapes_and_types(output.index, shape_and_type_vec);
}

// Helpers for loading a TensorFlow plugin (a .so file).
Status LoadDynamicLibrary(const char* library_filename, void** result,
                          const void** buf, size_t* len);

    assertEquals("2", result.get("second"));
    assertEquals("item :   a short  phrase   ", result.get("Third"));
    assertFalse(result.containsKey("not here"));

    // Test loading system properties
    result = Maps.fromProperties(System.getProperties());
    assertTrue(result.containsKey("java.version"));

    // Test that defaults work, too.

    assertEquals("2", result.get("second"));
    assertEquals("item :   a short  phrase   ", result.get("Third"));
    assertFalse(result.containsKey("not here"));

    // Test loading system properties
    result = Maps.fromProperties(System.getProperties());
    assertTrue(result.containsKey("java.version"));

    // Test that defaults work, too.

build:ios_x86_64 --cpu=ios_x86_64
build:ios_fat --config=ios
build:ios_fat --ios_multi_cpus=armv7,arm64,i386,x86_64

# Config to use a mostly-static build and disable modular op registration
# support (this will revert to loading TensorFlow with RTLD_GLOBAL in Python).
# By default, TensorFlow will build with a dependence on
# //tensorflow:libtensorflow_framework.so.
build:monolithic --define framework_shared_object=false

        "//tensorflow/lite/kernels:builtin_ops",
        "//tensorflow/lite/kernels:reference_ops",
        "//tensorflow/lite/schema:schema_fbs",
        "//tensorflow/lite/toco/logging:conversion_log_util",
        "//tensorflow/lite/toco/logging:toco_conversion_log_proto_cc",
        "//tensorflow/lite/toco:model_flags_proto_cc",
        "//tensorflow/lite/toco:toco_convert",
        "//tensorflow/lite/toco:toco_flags_proto_cc",

  // reports this record in Assigned. Assigned only updates in the status after
  // the record has been checkpointed to disk. When the Kubelet is restarted,
  // it tries to make the Assigned config the Active config by loading and
  // validating the checkpointed payload identified by Assigned.
  // +optional
  optional NodeConfigSource assigned = 1;

  // Active reports the checkpointed config the node is actively using.

}

func kmsLogIf(ctx context.Context, err error, errKind ...interface{}) {
	logger.LogIf(ctx, "kms", err, errKind...)
}

// KMSLogger permits access to kms module specific logging
type KMSLogger struct{}

// LogOnceIf is the implementation of LogOnceIf, accessible using the Logger interface
func (l KMSLogger) LogOnceIf(ctx context.Context, err error, id string, errKind ...interface{}) {

- [`KT-62318`](https://youtrack.jetbrains.com/issue/KT-62318) Android Studio sync memory leak in 1.9.20-Beta
- [`KT-62496`](https://youtrack.jetbrains.com/issue/KT-62496) Configuration time regression with KGP 1.9.20-Beta caused by loading of properties
- [`KT-61426`](https://youtrack.jetbrains.com/issue/KT-61426) Enabling compilation via the build tools API may cause high metaspace usage

#### Fixes