// CHECK: "tfl.space_to_batch_nd"
}

func.func @split(%arg0: tensor<i32>, %arg1: tensor<1x4x3x3xf32>) -> tensor<1x4x3xf32> {
  %0:3 = "tf.Split"(%arg0, %arg1) : (tensor<i32>, tensor<1x4x3x3xf32>) -> (tensor<1x4x3xf32>, tensor<1x4x3xf32>, tensor<1x4x3xf32>)
  func.return %0#0 : tensor<1x4x3xf32>

  // CHECK-LABEL: split

    return success();
  }
};

// Converts the tf.SplitV op into a series of HLO slice ops when the tensor to
// be split has fully static shape and the dimension to split and split sizes
// are constants.
//
// This is similar to the conversion for tf.Split op other than that the size of
// each chunk on the dimension to split is explicitly given as an op operand
// and they are not necessarily the same.
//

    SameOperandsAndResultsScale]> {
  let summary = "Splits a tensor into `num_split` tensors along one dimension.";

  let description = [{
    Splits the `value` tensor along `split_dim` into a number of sub-tensors
    with same shape as the original one, except for `split_dim`. The grouping
    of the resultant sub-tensors is decided by `size-splits`. Same as tf.SplitV.
  }];

  let arguments = (ins

        `tf.sparse.cross`/`tf.ragged.cross` directly.
    *   Added additional `standardize` and `split` modes to `TextVectorization`:
        *   `standardize="lower"` will lowercase inputs.
        *   `standardize="string_punctuation"` will remove all punctuation.
        *   `split="character"` will split on every unicode character.
    *   Added an `output_mode` argument to the `Discretization` and `Hashing`

func extractXDSHeadersFromEnv(o *istioagent.AgentOptions) {
	envs := os.Environ()
	for _, e := range envs {
		if strings.HasPrefix(e, xdsHeaderPrefix) {
			parts := strings.SplitN(e, "=", 2)
			if len(parts) != 2 {
				continue
			}
			o.XDSHeaders[parts[0][len(xdsHeaderPrefix):]] = parts[1]
		}
	}

			allowPubKeys = filterAlgos(arg, strings.Split(tokens[1], ","), supportedPubKeyAuthAlgos)
		case "kex-algos":
			allowKexAlgos = filterAlgos(arg, strings.Split(tokens[1], ","), supportedKexAlgos)
		case "cipher-algos":
			allowCiphers = filterAlgos(arg, strings.Split(tokens[1], ","), supportedCiphers)
		case "mac-algos":
			allowMACs = filterAlgos(arg, strings.Split(tokens[1], ","), supportedMACs)
		case "trusted-user-ca-key":

        fun String.runIfNotEmpty(action: String.() -> String): String =
            if (this.isEmpty()) this else action()

        return pathWithWildcards.split("**").joinToString(separator = ".*", prefix = "^", postfix = "$") { outerPart ->
            outerPart.runIfNotEmpty {
                split("*").joinToString("[^/]*") { innerPart ->
                    innerPart.runIfNotEmpty(Regex::escape)
                }
            }
        }
    }

	HasLoopBackIP bool
}

func split(s string) []string {
	return config.Split(s)
}

func (cfg *IptablesConfigurator) separateV4V6(cidrList string) (NetworkRange, NetworkRange, error) {
	if cidrList == "*" {
		return NetworkRange{IsWildcard: true}, NetworkRange{IsWildcard: true}, nil
	}
	ipv6Ranges := NetworkRange{}
	ipv4Ranges := NetworkRange{}
	for _, ipRange := range split(cidrList) {

		for _, join := range joins {
			if _, ok := relationships.Relations[join]; ok && name == join {
				joined = true
				continue
			}
			joinNames := strings.SplitN(join, ".", 2)
			if len(joinNames) == 2 {
				if _, ok := relationships.Relations[joinNames[0]]; ok && name == joinNames[0] {
					joined = true
					nestedJoins = append(nestedJoins, joinNames[1])
				}
			}

  python_paths = []
  if environ_cp.get('PYTHONPATH'):
    python_paths = environ_cp.get('PYTHONPATH').split(':')
  try:
    stderr = open(os.devnull, 'wb')
    library_paths = run_shell([
        python_bin_path, '-c',
        'import site; print("\\n".join(site.getsitepackages()))'
    ],
                              stderr=stderr).split('\n')
  except subprocess.CalledProcessError:
    library_paths = [
        run_shell([