{* ../../docs_src/body/tutorial002_py310.py *}

/// info

In Pydantic v1 the method was called `.dict()`, it was deprecated (but still supported) in Pydantic v2, and renamed to `.model_dump()`.

The examples here use `.dict()` for compatibility with Pydantic v1, but you should use `.model_dump()` instead if you can use Pydantic v2.

///

{* ../../docs_src/generate_clients/tutorial004.py *}

//// tab | Node.js

```Javascript
{!> ../../docs_src/generate_clients/tutorial004.js!}
```

////

With that, the operation IDs would be renamed from things like `items-get_items` to just `get_items`, that way the client generator can generate simpler method names.

{* ../../docs_src/extra_models/tutorial001_py310.py hl[7,9,14,20,22,27:28,31:33,38:39] *}


/// info

In Pydantic v1 the method was called `.dict()`, it was deprecated (but still supported) in Pydantic v2, and renamed to `.model_dump()`.

The examples here use `.dict()` for compatibility with Pydantic v1, but you should use `.model_dump()` instead if you can use Pydantic v2.

///

### About `**user_in.dict()` { #about-user-in-dict }

Spark/Hadoop workloads which use Hadoop MR Committer v1/v2 algorithm upload objects to a temporary prefix in a bucket. These objects are 'renamed' to a different prefix on Job commit. Object storage admins are forced to configure separate ILM policies to expire these objects and their versions to reclaim space.

### Solution

Template.`var_scope` property renamed to `.variable_scope` *
SyncReplicasOptimizer is removed and SyncReplicasOptimizerV2 renamed to
SyncReplicasOptimizer. * `tf.zeros_initializer()` and `tf.ones_initializer()`
now return a callable that must be called with initializer arguments, in your
code replace `tf.zeros_initializer` with `tf.zeros_initializer()`. *
`SparseTensor.shape` has been renamed to `SparseTensor.dense_shape`. Same for

         * File was removed from the directory
         */
        FILE_REMOVED,
        /**
         * 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
     */

		gorm.Model
		Name string
	}

	if err := DB.Migrator().RenameTable(&TableStruct{}, &NewTableStruct{}); err != nil {
		t.Fatalf("Failed to rename table, got error %v", err)
	}

	if !DB.Migrator().HasTable("new_table_structs") {
		t.Fatal("should found renamed table")
	}

	DB.Migrator().DropTable("new_table_structs")

	if DB.Migrator().HasTable(&NewTableStruct{}) {

```JSON
{
    "name": "Foo",
    "price": 50.2
}
```

/// info

In Pydantic v1 the method was called `.dict()`, it was deprecated (but still supported) in Pydantic v2, and renamed to `.model_dump()`.

The examples here use `.dict()` for compatibility with Pydantic v1, but you should use `.model_dump()` instead if you can use Pydantic v2.

///

/// info

In this example, to be able to have both `HTTPException`s in the same code, Starlette's exceptions is renamed to `StarletteHTTPException`:

```Python
from starlette.exceptions import HTTPException as StarletteHTTPException
```

### Reuse **FastAPI**'s exception handlers { #reuse-fastapis-exception-handlers }

    `OkResponseCache` interfaces. Both of these APIs have been dropped. In
    OkHttp 2 the built-in disk cache is the only supported response cache.

 *  **HttpResponseCache has been renamed to Cache.** Install it with
    `OkHttpClient.setCache(...)` instead of `OkHttpClient.setResponseCache(...)`.

 *  **OkAuthenticator has been replaced with Authenticator.** This new