mysqlInsertRow = `INSERT INTO %s (event_time, event_data) VALUES (?, ?);`
)

// MySQL related constants
const (
	MySQLFormat             = "format"
	MySQLDSNString          = "dsn_string"
	MySQLTable              = "table"
	MySQLHost               = "host"
	MySQLPort               = "port"
	MySQLUsername           = "username"
	MySQLPassword           = "password"
	MySQLDatabase           = "database"

  // Async compilation returns nullptr executable without an error.
  if (!executable && !pjrt_executable) {
    DCHECK(!must_compile_);
    Tensor compilation_key(cpu_allocator, DT_STRING, TensorShape({}));
    Tensor compilation_successful(cpu_allocator, DT_BOOL, TensorShape({}));
    compilation_successful.scalar<bool>()() = false;
    ctx->set_output(0, compilation_key);

	DefaultDeploymentUniqueLabelKey string = "pod-template-hash"
)

// GetNodeMetaData function uses an environment variable contract
// ISTIO_METAJSON_* env variables contain json_string in the value.
// The name of variable is ignored.
// ISTIO_META_* env variables are passed through
func GetNodeMetaData(options MetadataOptions) (*model.Node, error) {
	meta := &model.BootstrapNodeMetadata{}

*   Fixes an integer truncation vulnerability in code using the work sharder
    API,
    ([CVE-2020-15202](https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2020-15202))
*   Fixes a format string vulnerability in `tf.strings.as_string`,
    ([CVE-2020-15203](https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2020-15203))
*   Fixes segfault raised by calling session-only ops in eager mode,

    return std::nullopt;
  }

  // TensorFlow and TensorFlow Lite use different string encoding formats.
  // Convert to TensorFlow Lite format is it's a constant string tensor.
  if (tensor.dtype() == tensorflow::DT_STRING) {
    ::mlir::TFL::MiniDynamicBuffer dynamic_buffer;
    auto flat = tensor.flat<::tensorflow::tstring>();
    for (int i = 0; i < flat.size(); ++i) {
      const auto& str = flat(i);

For Unicode, see the
[https://www.tensorflow.org/tutorials/representation/unicode](Working with Unicode text)
tutorial.

Examples:

>>> tf.strings.as_string([3, 2])
<tf.Tensor: shape=(2,), dtype=string, numpy=array([b'3', b'2'], dtype=object)>
>>> tf.strings.as_string([3.1415926, 2.71828], precision=2).numpy()
array([b'3.14', b'2.72'], dtype=object)
  }];

  let arguments = (ins