CreateLoop(
      [](const Scope& s, const std::vector<Output>& inputs, Output* output) {
        *output = ops::Less(s, inputs[0], 10);
        return s.status();
      },
      [](const Scope& s, const std::vector<Output>& inputs,
         std::vector<Output>* outputs) {
        outputs->push_back(ops::AddN(s, {inputs[0], inputs[1]}));
        outputs->push_back(ops::AddN(s, {inputs[1], 1}));
        outputs->push_back(inputs[2]);

    }

    inputs.emplace_back(feed_name, tensor);
  }

  if (!request_inputs.empty() &&
      seen_request_inputs.size() != request_inputs.size()) {
    return absl::InvalidArgumentError(absl::StrCat(
        "Inputs contains invalid name. Used request inputs: ",
        absl::StrJoin(seen_request_inputs, ","),
        ", request input: ", absl::StrJoin(GetMapKeys(request_inputs), ",")));
  }

        }
        return inputs.build();
    }

    private static DataSource packSample(String name, List<DataSource> inputs, Packer packer, DataAccessor accessor) throws IOException {
        long sumLength = 0;
        for (DataSource input : inputs) {
            sumLength += input.getLength();
        }
        DataTarget target = accessor.createTarget(name, Level.Trial);
        packer.pack(inputs, target);

    }

    @Override
    public void pack(List<DataSource> inputs, DataTarget output) throws IOException {
        TarOutputStream tarOutput = new TarOutputStream(output.openOutput());
        for (DataSource input : inputs) {
            @SuppressWarnings("OctalInteger")
            TarHeader header = TarHeader.createHeader(input.getName(), input.getLength(), 0, false, 0644);
            TarEntry entry = new TarEntry(header);

     *
     * @return The input files. Returns an empty collection if this task has no input files.
     */
    FileCollection getFiles();

    /**
     * Registers some input files for this task.
     *
     * @param paths The input files. The given paths are evaluated as per {@link org.gradle.api.Project#files(Object...)}.
     * @return a property builder to further configure the property.
     */

    }

    @Override
    public void pack(List<DataSource> inputs, DataTarget output) throws IOException {
        TarArchiveOutputStream tarOutput = new TarArchiveOutputStream(output.openOutput());
        for (DataSource input : inputs) {
            TarArchiveEntry entry = new TarArchiveEntry(input.getName());
            entry.setSize(input.getLength());
            tarOutput.putArchiveEntry(entry);

 * limitations under the License.
 */

package org.gradle.normalization;

/**
 * Input normalization configuration.
 *
 * Input normalization is used when Gradle tries to determine if two task inputs are different.
 * Gradle normalizes both inputs and the inputs are considered different if and only if the normalizations are different.
 *
 * @since 4.0
 */

# RUN: tf-mlir-translate -graphdef-to-mlir %s

node {
  name: "input"
  op: "Placeholder"
  attr {
    key: "dtype"
    value {
      type: DT_BOOL
    }
  }
}

node {
  name: "func0"
  op: "func_name"
  input: "input"
}

library {
  function {
    signature {
      name: "func_name"
      input_arg {
        name: "arg0"
        type: DT_BOOL
      }
    }
    ret {

		}
	}

	var inputs []string

	// Parse parameters
	switch {
	case *stdin:
		// Parse 'mc support inspect --json' output
		input := struct {
			File string `json:"file"`
			Key  string `json:"key"`
		}{}
		got, err := io.ReadAll(os.Stdin)
		if err != nil {
			fatalErr(err)
		}
		fatalErr(json.Unmarshal(got, &input))
		inputs = []string{input.File}
		*keyHex = input.Key

	}
}

func TestConvertSliceStringToDeletionPropagation(t *testing.T) {
	tcs := []struct {
		Input  []string
		Output v1.DeletionPropagation
	}{
		{
			Input:  nil,
			Output: "",
		},
		{
			Input:  []string{},
			Output: "",
		},
		{
			Input:  []string{"foo"},
			Output: "foo",
		},
		{
			Input:  []string{"bar", "foo"},
			Output: "bar",
		},
	}

	for _, tc := range tcs {