}
	data = data[len(line):]
	line, isPrefix, err = l.ReadLine()
	if isPrefix || !bytes.Equal(line, data[:minReadBufferSize/2]) || err != nil {
		t.Errorf("bad result for third line: got %q want %q %v", line, data[:minReadBufferSize/2], err)
	}
	line, isPrefix, err = l.ReadLine()
	if isPrefix || err == nil {
		t.Errorf("expected no more lines: %x %s", line, err)
	}
}

            "axisCenteredZero": false,
            "axisColorMode": "text",
            "axisLabel": "",
            "axisPlacement": "auto",
            "barAlignment": 0,
            "drawStyle": "line",
            "fillOpacity": 10,
            "gradientMode": "none",
            "hideFrom": {
              "legend": false,
              "tooltip": false,
              "viz": false
            },

            "axisCenteredZero": false,
            "axisColorMode": "text",
            "axisLabel": "",
            "axisPlacement": "auto",
            "barAlignment": 0,
            "drawStyle": "line",
            "fillOpacity": 10,
            "gradientMode": "none",
            "hideFrom": {
              "legend": false,
              "tooltip": false,
              "viz": false
            },

	b.WriteString(f.Preamble)
	stdout := p.gccDefines(b.Bytes())

	for _, line := range strings.Split(stdout, "\n") {
		if len(line) < 9 || line[0:7] != "#define" {
			continue
		}

		line = strings.TrimSpace(line[8:])

		var key, val string
		spaceIndex := strings.Index(line, " ")
		tabIndex := strings.Index(line, "\t")

		if spaceIndex == -1 && tabIndex == -1 {
			continue

          "custom": {
            "axisCenteredZero": false,
            "axisColorMode": "text",
            "axisLabel": "",
            "axisPlacement": "auto",
            "barAlignment": 0,
            "drawStyle": "line",
            "fillOpacity": 10,
            "gradientMode": "none",
            "hideFrom": {
              "legend": false,
              "tooltip": false,
              "viz": false
            },

        'details.')
  config_info_line('mkl', 'Build with MKL support.')
  config_info_line(
      'mkl_aarch64',
      'Build with oneDNN and Compute Library for the Arm Architecture (ACL).')
  config_info_line('monolithic', 'Config for mostly static monolithic build.')
  config_info_line('numa', 'Build with NUMA support.')
  config_info_line(
      'dynamic_kernels',

            "axisCenteredZero": false,
            "axisColorMode": "text",
            "axisLabel": "",
            "axisPlacement": "auto",
            "barAlignment": 0,
            "drawStyle": "line",
            "fillOpacity": 10,
            "gradientMode": "none",
            "hideFrom": {
              "legend": false,
              "tooltip": false,
              "viz": false
            },

    ASSERT_EQ(src.NumElements(), output.NumElements()) << line;
    for (int64_t i = 0; i < src.NumElements(); ++i) {
      ASSERT_EQ(data[i], output.flat<tstring>()(i)) << line;
    }

    TF_DeleteTensor(dst);
  }
}

TEST(CAPI, TensorEncodeDecodeStrings) {
  TestEncodeDecode(__LINE__, {});
  TestEncodeDecode(__LINE__, {"hello"});
  TestEncodeDecode(__LINE__,

# Default build options. These are applied first and unconditionally.

# For projects which use TensorFlow as part of a Bazel build process, putting
# nothing in a bazelrc will default to a monolithic build. The following line
# opts in to modular op registration support by default.
build --define framework_shared_object=true
build --define tsl_protobuf_header_only=true

build --define=use_fast_cpp_protos=true

```

Use `mc admin config set` command to update the configuration for the deployment.Restart the MinIO server to put the changes into effect. The server will print a line like `SQS ARNs: arn:minio:sqs::1:amqp` at start-up if there were no errors.

An example configuration for RabbitMQ is shown below:

```sh