}
			return listTags(context.Background(), kubeClient.Kube(), cmd.OutOrStdout())
		},
	}

	cmd.PersistentFlags().StringVarP(&outputFormat, "output", "o", util.TableFormat, "Output format for tag description "+
		"(available formats: table,json,yaml)")
	return cmd
}

func tagRemoveCommand(ctx cli.Context) *cobra.Command {
	cmd := &cobra.Command{

	cmd.SilenceUsage = true

	fErr := cmd.Execute()
	output := out.String()

	if c.ExpectedOutput != "" && c.ExpectedOutput != output {
		t.Fatalf("Unexpected output for '%s %s'\n got: %q\nwant: %q", cmd.Name(),
			strings.Join(c.Args, " "), output, c.ExpectedOutput)
	}

	if c.ExpectedRegexp != nil && !c.ExpectedRegexp.MatchString(output) {
		t.Fatalf("Output didn't match for '%s %s'\n got %v\nwant: %v", cmd.Name(),

	return s.Sprintf("%s", cell.Value)
}

func (c *ColoredTableWriter) getTableOutput(allRows []Row) [][]Cell {
	output := [][]Cell{}
	if len(c.header.Cells) != 0 {
		output = append(output, c.header.Cells)
	}
	for _, row := range allRows {
		output = append(output, row.Cells)
	}
	return output
}

func (c *ColoredTableWriter) SetAddRowFunc(f func(obj interface{}) Row) {
	c.addRowFunc = f
}

            CACHEBUSTER=${{ steps.tf-version.outputs.DATE }}
          tags: |
            tensorflow/build:latest-${{ matrix.python-version }}
            tensorflow/build:${{ steps.tf-version.outputs.TF_VERSION }}-${{ matrix.python-version }}
            gcr.io/tensorflow-sigs/build:latest-${{ matrix.python-version }}
            gcr.io/tensorflow-sigs/build:${{ steps.tf-version.outputs.TF_VERSION }}-${{ matrix.python-version }}

		for len(output) > 0 && (output[0] < want || output[0] != want && len(output[0]) >= 5 && output[0][:5] == want[:5]) {
			if len(output[0]) >= 5 && output[0][:5] == want[:5] {
				t.Errorf("mismatched output:\nhave %s\nwant %s", output[0], want)
				output = output[1:]
				continue Diff
			}
			t.Errorf("unexpected output: %q", output[0])
			output = output[1:]
		}

  unwrap(o)->expected_num_outputs = num_outputs;
  unwrap(o)->outputs.clear();
  unwrap(o)->outputs.resize(num_outputs);
}
int TF_OutputListNumOutputs(TF_OutputList* o) {
  return unwrap(o)->outputs.size();
}
TF_AbstractTensor* TF_OutputListGet(TF_OutputList* o, int i) {
  return wrap(unwrap(o)->outputs[i]);
}
void TF_OutputListPushBack(TF_OutputList* o, TF_AbstractTensor* tensor,

  int num_retvals = 1;
  std::vector<AbstractTensorHandle*> outputs(1);
  GradientRegistry registry;
  s = RegisterGradients(&registry);
  ASSERT_EQ(errors::OK, s.code()) << s.message();
  auto tape = std::make_unique<Tape>(/*persistent=*/false);
  s = Execute(check_numerics_op.get(), ctx.get(), absl::MakeSpan(outputs),
              &num_retvals, &forward_op, tape.get(), registry);

Because of that, the JSON Schema for a model can be different depending on if it's used for **input or output**:

* for **input** the `description` will **not be required**
* for **output** it will be **required** (and possibly `None`, or in JSON terms, `null`)

### Model for Output in Docs

You can check the output model in the docs too, **both** `name` and `description` are marked as **required** with a **red asterisk**:

    private final String input;

    private final String output;

    private String newInput;

    private String newOutput;

    public StemmerOverrideItem(final long id, final String input, final String output) {
        this.id = id;
        this.input = input;
        this.output = output;

        if (id == 0) {
            // create
            newInput = input;

        run: |
          groovy .github/workflows/CheckBadMerge.groovy $(<pr_commits.txt) > output.txt 2>&1
      - name: Read output file
        id: read_output
        if: ${{ always() }}
        run: |
          cat output.txt
          OUTPUT=$(cat output.txt)
          echo "OUTPUT<<EOF" >> $GITHUB_ENV
          echo "$OUTPUT" >> $GITHUB_ENV
          echo "EOF" >> $GITHUB_ENV
      - name: Comment on PR if check failed