int readDataWireFormat( byte[] buffer, int bufferIndex, int len ) {
        int start = bufferIndex;
        SmbShareInfo e;

        useUnicode = false;

        results = new SmbShareInfo[numEntries];
        for( int i = 0; i < numEntries; i++ ) {
            results[i] = e = new SmbShareInfo();
            e.netName = readString( buffer, bufferIndex, 13, false );
            bufferIndex += 14;

```

### 3. Failure after conversion
If the conversion is successful, but the generated model is wrong, then state what is wrong:

- Model produces wrong results and/or has lesser accuracy.
- Model produces correct results, but it is slower than expected.

### 4. (optional) RNN conversion support
If converting TF RNN to TFLite fused RNN ops, please prefix [RNN] in the title.

@app.put("/items/{item_id}")
async def update_item(
    item_id: int, item: Item, user: User, importance: Annotated[int, Body()]
):
    results = {"item_id": item_id, "item": item, "user": user, "importance": importance}

                {
                    "name": "Baz",
                    "price": "thirty five point four",
                },
            ],
        ),
    ],
):
    results = {"item_id": item_id, "item": item}

    tax: Union[float, None] = None


@app.put("/items/{item_id}")
async def update_item(item_id: int, item: Annotated[Item, Body(embed=True)]):
    results = {"item_id": item_id, "item": item}

void TF_ImportGraphDefResultsReturnOutputs(TF_ImportGraphDefResults* results,
                                           int* num_outputs,
                                           TF_Output** outputs) {
  *num_outputs = results->return_tensors.size();
  *outputs = results->return_tensors.data();
}

void TF_ImportGraphDefResultsReturnOperations(TF_ImportGraphDefResults* results,
                                              int* num_opers,

                "value": {
                    "name": "Baz",
                    "price": "thirty five point four",
                },
            },
        },
    ),
):
    results = {"item_id": item_id, "item": item}

						},
					},
				},
			}, clause.From{}},
			"SELECT `age` = ? as name FROM `users`",
			[]interface{}{18},
		},
	}

	for idx, result := range results {
		t.Run(fmt.Sprintf("case #%v", idx), func(t *testing.T) {
			checkBuildClauses(t, result.Clauses, result.Result, result.Vars)
		})
	}

    results[idx] = *static_cast<float*>(TF_TensorData(f_t));
    TF_DeleteTensor(f_t);
  }
  ASSERT_EQ(results[0], 5.0);
  ASSERT_EQ(results[1], 6.0);

  for (int idx = 0; idx < 2; ++idx) {
    TF_AbstractTensor* result = TF_OutputListGet(func_outputs, idx);
    TF_DeleteAbstractTensor(result);
  }
  TF_DeleteOutputList(func_outputs);
  TF_DeleteExecutionContext(eager_execution_ctx);

interface AsyncDns {
  /**
   * Query DNS records for `hostname`, in the order they are received.
   */
  fun query(
    hostname: String,
    callback: Callback,
  )

  /**
   * Callback to receive results from the DNS Queries.
   */
  @ExperimentalOkHttpApi
  interface Callback {
    /**
     * Return addresses for a dns query for a single class of IPv4 (A) or IPv6 (AAAA).