if (entry != null) {
            entry.breaking = true;
            entry.updateState(newState);
            // Flush any cached data if losing write cache
            if (!entry.hasWriteCache()) {
                flushCachedWrites(entry.path);
            }
            // Invalidate cached data if losing read cache
            if (!entry.hasReadCache()) {
                invalidateReadCache(entry.path);
            }

    assertEquals(I18N, Files.toString(temp, UTF_16LE));
  }

  public void testWriteBytes() throws IOException {
    File temp = createTempFile();
    byte[] data = newPreFilledByteArray(2000);
    Files.write(data, temp);
    assertThat(Files.toByteArray(temp)).isEqualTo(data);

    assertThrows(NullPointerException.class, () -> Files.write(null, temp));
  }

  public void testAppendString() throws IOException {

* To pass a JSON body, pass a Python object (e.g. a `dict`) to the parameter `json`.
* If you need to send *Form Data* instead of JSON, use the `data` parameter instead.
* To pass *headers*, use a `dict` in the `headers` parameter.
* For *cookies*, a `dict` in the `cookies` parameter.

# Request Parameters

Here's the reference information for the request parameters.

These are the special functions that you can put in *path operation function* parameters or dependency functions with `Annotated` to get data from the request.

It includes:

* `Query()`
* `Path()`
* `Body()`
* `Cookie()`
* `Header()`
* `Form()`
* `File()`

You can import them all directly from `fastapi`:

```python

 */
package jcifs.internal.dfs;

import java.util.Map;

import jcifs.DfsReferralData;

/**
 * Internal interface for DFS referral data with extended functionality.
 * Extends the public DFS referral data interface with internal operations like
 * hostname resolution and referral data manipulation for internal DFS management.
 *
 * @author mbechler
 */
public interface DfsReferralDataInternal extends DfsReferralData {

        }

        i = j = 0;
    }

    /**
     * Encrypts or decrypts data using the RC4 stream cipher.
     * Since RC4 is a stream cipher, the same operation is used for both encryption and decryption.
     *
     * @param src the source data array
     * @param soff the offset in the source array
     * @param slen the length of data to process
     * @param dst the destination array for the result

        "x_tag": ["one", "two"],
    }


def test_header_param_model_no_underscore(client: TestClient):
    response = client.get(
        "/items/",
        headers=[
            ("save-data", "true"),
            ("if-modified-since", "yesterday"),
            ("traceparent", "123"),
            ("x-tag", "one"),
            ("x-tag", "two"),
        ],
    )
    assert response.status_code == 422

                throw new FessSystemException("Failed to import data.", e);
            }
        });
        return asJson(new ApiResult.ApiResponse().status(ApiResult.Status.OK).result());
    }

    // GET /api/admin/elevateword/download
    /**
     * Downloads all elevate words as a CSV file.
     * Creates a temporary file with the exported data for download.
     *
     * @param body download parameters

	}
	AssertAssociationCount(t, user2, "Manager", 1, "after delete non-existing data")

	if err := DB.Model(&user2).Association("Manager").Delete(manager2); err != nil {
		t.Fatalf("Error happened when delete Manager, got %v", err)
	}
	AssertAssociationCount(t, user2, "Manager", 0, "after delete")

	// Prepare Data for Clear
	if err := DB.Model(&user2).Association("Company").Append(&company); err != nil {

		<property name="queueIndex">"fess_crawler.queue"</property>
		<property name="queueShards">5</property>
		<property name="queueReplicas">1</property>
		<property name="dataIndex">"fess_crawler.data"</property>
		<property name="dataShards">5</property>
		<property name="dataReplicas">1</property>
		<property name="filterIndex">"fess_crawler.filter"</property>
		<property name="filterShards">5</property>