def branch6 = new DefaultMultiCauseException("sixth failure", intermediateFailure2)

        Throwable exception = new ContextAwareException(new TypedResolveException("task dependencies", "org:example:1.0", [branch1, branch2, branch3, branch4, branch5, branch6]))

        when:
        reporter.buildFinished(result(exception))
        print(output.value)

        then:
        output.value == """

  // CHECK-NEXT: [[idx:%.*]] = corert.tensorhandle_to_int32 [[th_idx]]
  // CHECK-NEXT: [[out:%.*]] = tfrt.case [[idx]] [@branch0, @branch1]([[chain]], [[branch_arg0]], [[branch_arg1]])
  %0 = "tf.Case"(%arg0, %arg1, %arg2) {_lower_using_switch_merge = true, branches = [@branch0, @branch1], is_stateless = true} : (tensor<i32>, tensor<f32>, tensor<f32>) -> tensor<f32>
  func.return %0 : tensor<f32>

  //
  // Two ops with the same groups and different branches are considered
  // parallel so are not made dependent. For example if `OpA` has parallel_ids
  //   `{group0:branch0, group1:branch0}`
  // and `OpB` has parallel_ids
  //   `{group0:branch1, graph1:branch0}`
  // then `OpA` and `OpB` are executed in parallel because `group0` is common
  // with a different branch.
  //

  // CHECK: [[idx:%.*]] = tf_mlrt.tensor_to_int32 [[tf_idx]]
  // CHECK-NEXT: [[out:%.*]] = mlrt.case [[idx]] [@branch0, @branch1]([[branch_arg0]], [[branch_arg1]])
  %0 = "tf.Case"(%arg0, %arg1, %arg2) {_lower_using_switch_merge = true, branches = [@branch0, @branch1], is_stateless = true} : (tensor<i32>, tensor<f32>, tensor<f32>) -> tensor<f32>
  func.return %0 : tensor<f32>
}

// -----

//          which represents the second branch of replicate group 0 and
//          the first branch of parallel group 0.
// First instance of "tf.OpD" after flattening will have
//          `_parallel_execution_ids = "r0:0,p0:1"`
//          which represents the first branch of replicate group 0 and
//          the second branch of parallel group 0.
// Second instance of "tf.OpD" after flattening will have

  }

  func.func private @branch0(tensor<2xf32>) -> tensor<2xf32>
  func.func private @branch1(tensor<2xf32>) -> tensor<2xf32>

  func.func @case_with_symbol_ref(%arg0: tensor<i32>, %arg1: tensor<2xf32>) -> tensor<2xf32> {
    // CHECK: tf.Case
    // expected-remark@+1 {{ops with symbol references are not supported}}

```
λ git checkout RELEASE.2021-04-22T15-44-28Z
```

Create a branch and proceed to push the branch **upstream**
> (upstream here points to ******@****.***:minio/minio.git)

```
λ git branch -m RELEASE.2021-04-22T15-44-28Z.hotfix
λ git push -u upstream RELEASE.2021-04-22T15-44-28Z.hotfix
```

Pick the relevant commit-id say for example commit-id from the master branch

```
commit 4f3317effea38c203c358af9cb5ce3c0e4173976

// branch functions to (a) drop the ununsed return values, and (b) as a result
// if some argument becomes unused in all branches, drop that argument and the
// corresponding if/case input operand.
void EliminateUnusedResultsForIfCase(Operation *op,
                                     ArrayRef<func::FuncOp> branches) {
  // Clone branch functions if needed since we will be mutating them.

name: Scorecard supply-chain security
on:
  # For Branch-Protection check. Only the default branch is supported. See
  # https://github.com/ossf/scorecard/blob/main/docs/checks.md#branch-protection
  branch_protection_rule:
  # To guarantee Maintained check is occasionally updated. See
  # https://github.com/ossf/scorecard/blob/main/docs/checks.md#maintained
  schedule:
    - cron: '45 9 * * 0'
  push:
    branches: [ "master" ]

  // Rewrite the branches.
  RegionRange branches = case_op.getRegions();

  for (Region* branch : branches) {
    if (failed(DecomposeTensorListOpsInternal(
            &branch->front(), module, buffer_to_size,
            decomposed_partitioned_call_callees)))
      return failure();
  }

  // Get the output buffer index to size index mapping one of the branches. It