for (auto sharding_and_retval :
       llvm::zip(sharding_for_rets, terminator->getOpOperands())) {
    const auto& sharding = std::get<0>(sharding_and_retval);
    OpOperand& retval = std::get<1>(sharding_and_retval);
    if (failed(VerifySharding(retval.get().getType(), sharding)))
      return mlir::failure();
  }
  return mlir::success();
}

// Assign the logical device if an op has an attribute `TPU_REPLICATED_CORE:n`,

	}
	for _, pod := range pods.Items {
		retval[resource.Namespace(pod.GetNamespace())] = append(retval[resource.Namespace(pod.GetNamespace())], pod)
	}
	return retval, nil
}

// getInjectedImages() returns a map of revision->dockerimage
func getInjectedImages(ctx context.Context, client kube.CLIClient) (map[string]string, error) {
	retval := map[string]string{}

	// All configs in all namespaces that are Istio revisioned

        }

        def process = ["ls", "-ld", file.absolutePath].execute()
        def result = process.inputStream.text
        def error = process.errorStream.text
        def retval = process.waitFor()
        if (retval != 0) {
            throw new RuntimeException("Could not list permissions for '$file': $error")
        }
        def perms = result.split()[0]

                        if (subResult != null) {
                            retVal += subResult;
                        } else {
                            retVal += "$" + expr.substring(index + 1, lastIndex + 1);
                        }
                    }

                    retVal += evaluate(expr.substring(lastIndex + 1));
                    return retVal;
                }
            }

	retval := discovery.DiscoveryResponse{}
	if len(responses) == 0 {
		return &retval, nil
	}

	for _, response := range responses {
		// Combine all the shards as one, even if that means losing information about
		// the control plane version from each shard.
		retval.ControlPlane = response.ControlPlane
		retval.Resources = append(retval.Resources, response.Resources...)
	}

				}
				if retVal, err = util.MergeAnyWithAny(filter.GetTypedConfig(), userFilter.GetTypedConfig()); err != nil {
					retVal = filter.GetTypedConfig()
				}
			}
			filter.Name = filterName
			if retVal != nil {
				filter.ConfigType = &listener.Filter_TypedConfig{TypedConfig: retVal}
			}
		}
	}
	if filter.Name == wellknown.HTTPConnectionManager {

                        if (subResult != null) {
                            retVal += subResult;
                        } else {
                            retVal += "$" + expr.substring(index + 1, lastIndex + 1);
                        }
                    }

                    retVal += evaluate(expr.substring(lastIndex + 1));
                    return retVal;
                }
            }

  TFE_TensorHandle* retvals[1] = {nullptr};
  int num_retvals = 1;
  TFE_Execute(func, &retvals[0], &num_retvals, status);
  ASSERT_EQ(TF_OK, TF_GetCode(status)) << TF_Message(status);
  ASSERT_EQ(1, num_retvals);
  TF_Tensor* t = TFE_TensorHandleResolve(retvals[0], status);
  ASSERT_EQ(TF_OK, TF_GetCode(status)) << TF_Message(status);
  TFE_DeleteTensorHandle(retvals[0]);
  float sum = 0;

                              PatternRewriter &rewriter) {
  if (concat.getVal().size() < 2)
    return rewriter.notifyMatchFailure(
        concat, "Concatenate op should have at least two operands");

  auto first = concat.getVal()[0].getDefiningOp<mhlo::SliceOp>();
  auto second = concat.getVal()[1].getDefiningOp<mhlo::SliceOp>();
  if (!first || !second)

    ASSERT_TRUE(TF_GetCode(status.get()) == TF_OK) << TF_Message(status.get());
    TFE_TensorHandle* retvals[1];
    int num_retvals = 1;
    TFE_Execute(shape_op, &retvals[0], &num_retvals, status.get());
    ASSERT_TRUE(TF_GetCode(status.get()) == TF_OK) << TF_Message(status.get());

    device_type = TFE_TensorHandleDeviceType(retvals[0], status.get());
    ASSERT_EQ(TF_OK, TF_GetCode(status.get())) << TF_Message(status.get());