r.Close()
				t.Fatalf("Test %d: %s: Failed to fetch the copied object: <ERROR> %s", i+1, instanceType, err)
			}
			r.Close()
			if !bytes.Equal(testCase.data, buffer.Bytes()) {
				t.Errorf("Test %d: %s: Data Mismatch: Data fetched back from the uploaded object doesn't match the original one.", i+1, instanceType)
			}
		}
	}
}

						if _, ok := first[dbName].(string); !ok {
							t.Errorf("invalid data type for %v, got %#v", dbName, first[dbName])
						}
					case "Age":
						if _, ok := first[dbName].(uint); !ok {
							t.Errorf("invalid data type for %v, got %#v", dbName, first[dbName])
						}
					case "Birthday":
						if _, ok := first[dbName].(*time.Time); !ok {
							t.Errorf("invalid data type for %v, got %#v", dbName, first[dbName])
						}
					}

    val trigger: Trigger = Trigger.NEVER,
    val runsIndependent: Boolean = false,
) {
    val id = stageName.id
}

data class DocsTestCoverage(
    val os: Os,
    val testJava: JvmCategory,
    val docsTestTypes: List<DocsTestType>,
)

data class TestCoverage(
    val uuid: Int,
    val testType: TestType,
    val os: Os,
    val testJvmVersion: JvmVersion,

        when(response.getHeaderStart()).thenReturn(0);

        // Write FileInternalInfo data at the large offset
        SMBUtil.writeInt8(0x123456789ABCDEFL, buffer, 1000);

        int result = response.readBytesWireFormat(buffer, bufferIndex);

        // Should return at least to the end of the data
        assertTrue(result >= 900); // 1000 + 8 - 100
        assertNotNull(response.getInfo());
    }

        assertEquals(0, result);
    }

    @Test
    void readBodyWireFormat_shouldDelegateToReadResourceRecordWireFormat() throws Exception {
        // Prepare test data with minimal valid resource record
        byte[] src = new byte[100];
        int srcIndex = 10;

        // Set up a minimal resource record response
        // Name pointer (0xC00C)
        src[srcIndex] = (byte) 0xC0;

*.pbxproj
*.xcworkspace
/*.podspec
/tensorflow/lite/**/coreml/**/BUILD
/tensorflow/lite/**/ios/BUILD
/tensorflow/lite/**/objc/BUILD
/tensorflow/lite/**/swift/BUILD
/tensorflow/lite/examples/ios/simple/data/*.tflite
/tensorflow/lite/examples/ios/simple/data/*.txt
Podfile.lock
Pods

                                                void* data, size_t len,
                                                TF_Status* status) {
  auto dtype = static_cast<tensorflow::DataType>(data_type);
  DCHECK(tensorflow::DataTypeCanUseMemcpy(dtype));

  tensorflow::Tensor tensor(dtype, tensorflow::TensorShape({}));
  std::memcpy(tensorflow::TensorCApi::Buffer(tensor)->data(), data, len);

  status->status = absl::OkStatus();

      this.headerBlock = headerBlock
    }

    override fun data(
      inFinished: Boolean,
      streamId: Int,
      source: BufferedSource,
      length: Int,
    ) {
      check(type == -1)
      this.type = Http2.TYPE_DATA
      this.inFinished = inFinished
      this.streamId = streamId
      this.data = source.readByteString(length.toLong()).toByteArray()
    }

    /**
     * Function code to peek at named pipe data without removing it
     */
    public static final int FSCTL_PIPE_PEEK = 0x0011400C;
    /**
     * Function code to wait for a named pipe to become available
     */
    public static final int FSCTL_PIPE_WAIT = 0x00110018;
    /**
     * Function code to transceive data on a named pipe
     */

* 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.