"60b420bb3851d9d47acb933dbe70399bf6c92da33af01d4fb770e98c0325f41d3ebaf8986da71" +
          "2c82bcd4d554bf0b54023c2"
      ).decodeHex()
    serverWriter.writeMessageFrame(OPCODE_BINARY, payload)
    assertData("8232")
    assertData(payload)
  }

  @Test fun serverMessageLengthShort() {
    // Create a payload which will overflow the normal payload byte size.
    val payload = Buffer()

  integrity sha512-OO0pH2lK6a0hZnAdau5ItzHPI6pUlvI7jMVnxUQRtw4owF2wk8lOSabtGDCTP4Ggrg2MbGnWO9X8K1t4+fGMDw==

fsevents@~2.3.2:
  version "2.3.2"
  resolved "https://registry.yarnpkg.com/fsevents/-/fsevents-2.3.2.tgz#8a526f78b8fdf4623b709e0b975c52c24c02fd1a"
  integrity sha512-xiqMQR4xAeHTuB9uWm+fFRcIOgKBMiOBP+eXiyT7jsgVCq1bkVygt00oASowB7EdtpOHaaPgKt812P9ab+DDKA==

function-bind@^1.1.1:

        long bHi = b >>> 32; // < 2^31
        long aLo = a & 0xFFFFFFFFL; // < 2^32
        long bLo = b & 0xFFFFFFFFL; // < 2^32

        /*
         * a * b == aHi * bHi * 2^64 + (aHi * bLo + aLo * bHi) * 2^32 + aLo * bLo.
         *       == (aHi * bHi * 2^32 + aHi * bLo + aLo * bHi) * 2^32 + aLo * bLo
         *

		},
		// Keys and input order of k=v is same.
		{
			input: `connection_string="host=localhost port=2832" comment="really long comment"`,
			keys:  []string{"connection_string", "comment"},
			expectedFields: map[string]struct{}{
				`connection_string="host=localhost port=2832"`: {},
				`comment="really long comment"`:                {},
			},
		},
		// Keys with spaces in between
		{

        long bHi = b >>> 32; // < 2^31
        long aLo = a & 0xFFFFFFFFL; // < 2^32
        long bLo = b & 0xFFFFFFFFL; // < 2^32

        /*
         * a * b == aHi * bHi * 2^64 + (aHi * bLo + aLo * bHi) * 2^32 + aLo * bLo.
         *       == (aHi * bHi * 2^32 + aHi * bLo + aLo * bHi) * 2^32 + aLo * bLo
         *

1.23.2...

    public AvSingleHost ( byte[] customData, byte[] machineId ) {
        this(encode(customData, machineId));
    }


    private static byte[] encode ( byte[] customData, byte[] machineId ) {
        int size = 8 + 8 + 32;
        byte[] enc = new byte[size];
        SMBUtil.writeInt4(size, enc, 0);
        SMBUtil.writeInt4(0, enc, 4);
        System.arraycopy(customData, 0, enc, 8, 8);
        System.arraycopy(machineId, 0, enc, 16, 32);

# CuDNN: https://docs.nvidia.com/deeplearning/sdk/cudnn-install/index.html#ubuntu-network-installation
libcudnn9-dev-cuda-12=9.1.1.17-1
libcudnn9-cuda-12=9.1.1.17-1

# This can be removed once NVIDIA publishes a cuda-12.3.2 Docker image.
# For now it ensures that we install at least version 12.3.107 of PTXAS,
# since 12.3.103 has a bug.

keras-nightly ~= 3.0.0.dev
tb-nightly ~= 2.19.0.a
# Test dependencies
grpcio >= 1.24.3, < 2.0
portpicker == 1.6.0
scipy >= 1.13.0
requests >= 2.31.0
packaging==23.2
setuptools==70.0.0
jax==0.4.7
# The dependencies below are needed for TF wheel testing.
tensorflow-io-gcs-filesystem==0.37.1
libclang >= 13.0.0
google_pasta ~= 0.2

@test "Pip package doesn't depend on CUDA" {
  bazel cquery \
    --experimental_cc_shared_library \
    --@local_config_cuda//:enable_cuda \
    --repo_env=HERMETIC_CUDA_VERSION="12.3.2" \
    --repo_env=HERMETIC_CUDNN_VERSION="8.9.7.29" \
    "somepath(//tensorflow/tools/pip_package:build_pip_package, " \
    "@local_config_cuda//cuda:cudart + "\
    "@local_config_cuda//cuda:cudart + "\