// Use, run, and verify
  TF_Operation* func_feed = Placeholder(host_graph_, s_);
  TF_Operation* func_op = Use({func_feed});
  Run({{func_feed, Int32Tensor(3)}}, func_op, -3);
  VerifyFDef({"neg_0"}, {{"feed", DT_INT32}}, {{"neg", DT_INT32}},
             {{"feed", "neg_0:0"}, {"neg_0:y:0", "neg"}}, {});
}

TEST_F(CApiFunctionTest, OneOutput_OutputNames) {
  /*
   *                   |
   *                   v

  EXPECT_NE(attr_found, attr_values.cend());
  EXPECT_EQ(attr_found->second.list().type(0), tensorflow::DataType::DT_BOOL);
  EXPECT_EQ(attr_found->second.list().type(1), tensorflow::DataType::DT_FLOAT);
  EXPECT_EQ(attr_found->second.list().type(2), tensorflow::DataType::DT_INT32);

  TFE_TensorHandle* retvals[1] = {nullptr};
  int num_retvals = 1;
  TFE_Execute(assertOp, &retvals[0], &num_retvals, status);

	GOPATH = ""

	// GOROOT - GOROOT value at the time of build.
	GOROOT = ""

	// Version - version time.RFC3339.
	Version = "DEVELOPMENT.GOGET"

	// ReleaseTag - release tag in TAG.%Y-%m-%dT%H-%M-%SZ.
	ReleaseTag = "DEVELOPMENT.GOGET"

	// CommitID - latest commit id.
	CommitID = "DEVELOPMENT.GOGET"

	// ShortCommitID - first 12 characters from CommitID.
	ShortCommitID = "DEVELOPMENT.GOGET"

namespace tensorflow {
namespace {

Status ValidateNonRefOutput(const Node* node, int idx) {
  const DataType& dt = node->output_type(idx);
  return IsRefType(dt)
             ? InvalidArgument("Output ", idx, " of node '", node->name(),
                               "' has a reference type ", DataTypeString(dt))
             : absl::OkStatus();
}

// Converts `ninputs` and `inputs` into `inputs_tensors` and `input_nodes` and

 *
 * <dl>
 *   <dt>The IPv4 loopback address, {@code "127.0.0.1"}.
 *   <dd>{@code 7f 00 00 01}
 *   <dt>The IPv6 loopback address, {@code "::1"}.
 *   <dd>{@code 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 01}
 *   <dt>From the IPv6 reserved documentation prefix ({@code 2001:db8::/32}), {@code "2001:db8::1"}.
 *   <dd>{@code 20 01 0d b8 00 00 00 00 00 00 00 00 00 00 00 01}

        this.useLocalFesen = useLocalFesen;
        return this;
    }

    public ExecJob remoteDebug() {
        return jvmOptions("-Xdebug", "-Xrunjdwp:transport=dt_socket,server=y,suspend=y,address=localhost:8000");
    }

    public ExecJob gcLogging() {
        final StringBuilder buf = new StringBuilder(100);
        buf.append("-Xlog:gc*,gc+age=trace,safepoint:file=");

  }
}

void ParallelDevice::AsyncWait(TFE_Context* context, TF_Status* status) const {
  StatusPtr first_bad_status(nullptr);

  for (const auto& dt : device_threads_) {
    StatusPtr async_wait_status(TF_NewStatus());
    dt->AsyncWait(async_wait_status.get());
    // Prefer non cancelled errors to uncover real failures.
    if (TF_GetCode(async_wait_status.get()) != TF_OK &&

      DataTypeIsInteger(BaseType(dtype))) {
    return tensorflow::ops::Identity(ctx, input, output, name);
  } else if (!DataTypeIsComplex(BaseType(dtype)) &&
             BaseType(dtype) != DT_VARIANT) {
    return errors::InvalidArgument(
        "Expected numeric or variant tensor, got dtype ", dtype);
  }
  return tensorflow::ops::Conj(ctx, input, output, name);
}

			if !ok {
				d = bandwidth.Details{
					LimitInBytesPerSecond: report.BucketStats[opts].LimitInBytesPerSecond,
				}
			}
			dt, ok := report.BucketStats[opts]
			if ok {
				d.CurrentBandwidthInBytesPerSecond += dt.CurrentBandwidthInBytesPerSecond
			}
			consolidatedReport.BucketStats[opts] = d
		}
	}
	return consolidatedReport
}

					Prefix: Prefix{
						string: "folder1/folder1/exp_dt=2022-",
						set:    true,
					},
				},
				Expiration: Expiration{
					Days: 1,
					set:  true,
				},
			},
		},
	}
	tests := []struct {
		opts ObjectOpts
		lc   Lifecycle
		want int
	}{
		{
			opts: ObjectOpts{
				Name:        "folder1/folder1/exp_dt=2022-08-01/obj-1",