from starlette.datastructures import UploadFile as StarletteUploadFile


class UploadFile(StarletteUploadFile):
    """
    A file uploaded in a request.

    Define it as a *path operation function* (or dependency) parameter.

    If you are using a regular `def` function, you can use the `upload_file.file`
    attribute to access the raw standard Python file (blocking, not async), useful and
    needed for non-async code.

          .isEqualTo(Strings.lenientFormat("", Arrays.copyOfRange(params, 2, params.length)));
    }
  }

  /**
   * Returns an array containing parameters for invoking a checkArgument, checkNotNull or checkState
   * method reflectively
   *
   * @param firstParam The first parameter
   * @param sig The method signature
   */
  @GwtIncompatible // ArbitraryInstances
  @J2ktIncompatible

          .isEqualTo(Strings.lenientFormat("", Arrays.copyOfRange(params, 2, params.length)));
    }
  }

  /**
   * Returns an array containing parameters for invoking a checkArgument, checkNotNull or checkState
   * method reflectively
   *
   * @param firstParam The first parameter
   * @param sig The method signature
   */
  @GwtIncompatible // ArbitraryInstances
  @J2ktIncompatible

  SampleElements<E> samples();

  /**
   * Creates a new container containing the given elements. TODO: would be nice to figure out how to
   * use E... or E[] as a parameter type, but this doesn't seem to work because Java creates an
   * array of the erased type.
   */
  T create(Object... elements);

  /**

        }).when(mockClearScrollBuilder).execute(any(ActionListener.class));

        // Call deprecated method with type parameter
        final int deleted = fesenClient.deleteByQuery("test-index", "_doc", QueryBuilders.matchAllQuery());

        assertEquals(0, deleted);
        // Verify it used the same search logic (type parameter is ignored)
        verify(mockClient).prepareSearch("test-index");
    }

    /**

        await websocket.send_text(
            f"Session cookie or query token value is: {cookie_or_token}"
        )
        if q is not None:
            await websocket.send_text(f"Query parameter q is: {q}")

你可以將屬性定義為某個子型別。例如，Python 的 `list`：

{* ../../docs_src/body_nested_models/tutorial001_py310.py hl[12] *}

這會讓 `tags` 成為一個列表，儘管尚未宣告列表元素的型別。

## 具有型別參數的列表欄位 { #list-fields-with-type-parameter }

不過，Python 有一種專門的方式來宣告具有內部型別（「型別參數」）的列表：

### 宣告帶有型別參數的 `list` { #declare-a-list-with-a-type-parameter }

要宣告具有型別參數（內部型別）的型別，例如 `list`、`dict`、`tuple`，使用方括號 `[` 與 `]` 傳入內部型別作為「型別參數」：

```Python
my_list: list[str]
```

以上都是標準的 Python 型別宣告語法。

     */
    public static final String ROLE = "admin-accesstoken";

    /**
     * The token parameter.
     */
    public static final String TOKEN = "token";

    /**
     * The expires parameter.
     */
    public static final String EXPIRES = "expires";

    /**
     * The expired time parameter.
     */
    public static final String EXPIRED_TIME = "expiredTime";

          .when(mockFlushable)
          .flush();
    }
  }

  // Flush the flushable using the Flushables, passing in the swallowException
  // parameter. expectThrown determines whether we expect an exception to
  // be thrown by Flushables.flush;
  private void doFlush(Flushable flushable, boolean swallowException, boolean expectThrown)
      throws IOException {
    try {

#include "tensorflow/c/eager/unified_api_testutil.h"

namespace tensorflow {
namespace gradients {

/* Returns numerical grad inside `dtheta_approx` given `forward` model and
 * parameter specified by `input_index`.
 *
 * I.e. if y = <output of the forward model> and w = inputs[input_index],
 * this will calculate dy/dw numerically.
 *