// Load the weight of a variable
TF_CAPI_EXPORT extern TF_Tensor* TF_CheckpointReaderGetTensor(
    TF_CheckpointReader* reader, const char* name, TF_Status* status);

// TF_NewAttrBuilder() returns an object that you can set attributes on as
// though it were an op. This allows querying properties of that op for
// type-checking purposes like if the op will run on a particular device type.
typedef struct TF_AttrBuilder TF_AttrBuilder;

    protected String defaultField = null;

    /**
     * Constructs a new QueryContext with the specified query string.
     * Processes special query prefixes (allinurl:, allintitle:) and initializes
     * request-scoped attributes for highlighting and field logging.
     * @param queryString The query string to process.
     * @param isQuery Whether this is a search query (enables highlighting and logging).
     */
    @SuppressWarnings("unchecked")

Строка будет проверена на соответствие допустимому URL-адресу и задокументирована в JSON Schema / OpenAPI как таковая.

## Атрибуты, содержащие списки подмоделей { #attributes-with-lists-of-submodels }

Вы также можете использовать модели Pydantic в качестве подтипов для `list`, `set` и т.д.:

{* ../../docs_src/body_nested_models/tutorial006_py310.py hl[18] *}

/**
 * The SuggestItem class represents an item used for suggestions in the Fess search engine.
 * It contains various attributes such as text, readings, fields, tags, roles, languages, kinds, and frequencies.
 * The class provides methods to manipulate and retrieve these attributes, as well as to convert the item to and from different formats.
 */
public class SuggestItem {

    /**
     * The kind of suggest item.

        final DosFileFilter dff = unwrapDOSFilter(ff);
        if (dff != null) {
            if (dff.wildcard != null) {
                wildcard = dff.wildcard;
            }
            searchAttributes = dff.attributes;
        }
        final SmbResourceLocator locator = parent.getLocator();
        if (locator.getURL().getHost().isEmpty()) {
            // smb:// -> enumerate servers through browsing
            Address addr;

         * File was modified in the directory
         */
        FILE_MODIFIED,
        /**
         * Directory was renamed
         */
        DIRECTORY_RENAMED,
        /**
         * File or directory attributes were changed
         */
        ATTRIBUTES_CHANGED
    }

    /**
     * SMB2 File Action constants
     */
    private static final int FILE_ACTION_ADDED = 0x00000001;

	AmzMaxParts             = "X-Amz-Max-Parts"
	AmzPartNumberMarker     = "X-Amz-Part-Number-Marker"

	// Constants used for GetObjectAttributes and GetObjectVersionAttributes
	AmzObjectAttributes = "X-Amz-Object-Attributes"

	AmzMetaUnencryptedContentLength = "X-Amz-Meta-X-Amz-Unencrypted-Content-Length"
	AmzMetaUnencryptedContentMD5    = "X-Amz-Meta-X-Amz-Unencrypted-Content-Md5"

By inheriting from `str` the API docs will be able to know that the values must be of type `string` and will be able to render correctly.

Then create class attributes with fixed values, which will be the available valid values:

{* ../../docs_src/path_params/tutorial005_py39.py hl[1,6:9] *}

/// tip

  modularity.inferModulePath.set(true)
}

// Call the convention when the task has finished, to modify the jar to contain OSGi metadata.
tasks.named<Jar>("jvmJar").configure {
  manifest {
    attributes(
      "Multi-Release" to true,
    )
  }

  from(compileJavaModuleInfo.get().destinationDirectory) {
    into("META-INF/versions/9/")
  }
}

project.applyOsgiMultiplatform(

### Create the `Settings` object { #create-the-settings-object }

Import `BaseSettings` from Pydantic and create a sub-class, very much like with a Pydantic model.

The same way as with Pydantic models, you declare class attributes with type annotations, and possibly default values.

You can use all the same validation features and tools you use for Pydantic models, like different data types and additional validations with `Field()`.