std::vector<TFE_TensorHandle*> device_inputs;
    device_inputs.reserve(inputs.size());
    for (int input_index = 0; input_index < inputs.size(); ++input_index) {
      // Parallel tensors are divided between operations by device.
      device_inputs.push_back(inputs[input_index]->tensor(device_index));
    }
    device_thread->StartExecute(

					Signature: [4]byte{2, 1, 1, 1},
					Type:      ObjectType,
					Flags:     0,
				}},
			},
		},
	}
	inputSerialized := make([]metaCacheEntry, len(inputs))
	for i, xl := range inputs {
		xl.sortByModTime()
		var err error
		entry := metaCacheEntry{
			name: "testobject",
		}
		entry.metadata, err = xl.AppendTo(nil)
		if err != nil {
			t.Fatal(err)
		}

	for i = 0; i < 8; i++ {
		fi := FileInfo{
			TransitionTier:      inputs[0].tier,
			TransitionedObjName: inputs[0].remoteObjName,
			TransitionVersionID: inputs[0].remoteVersionID,
			TransitionStatus:    inputs[0].status,
		}
		ofi := fi
		if i&(1<<0) != 0 {
			ofi.TransitionTier = inputs[1].tier
		}
		if i&(1<<1) != 0 {
			ofi.TransitionedObjName = inputs[1].remoteObjName
		}
		if i&(1<<2) != 0 {

                                    <label for="inputs" class="col-sm-3 text-sm-right col-form-label"><la:message
                                            key="labels.dict_synonym_source"/></label>
                                    <div class="col-sm-9">
                                        <la:errors property="inputs"/>
                                        <la:textarea styleId="inputs" property="inputs" rows="5"

package etcd

import (
	"reflect"
	"testing"
)

// TestParseEndpoints - tests parseEndpoints function with valid and invalid inputs.
func TestParseEndpoints(t *testing.T) {
	testCases := []struct {
		s         string
		endpoints []string
		secure    bool
		success   bool
	}{
		// Invalid inputs
		{"https://localhost:2379,http://localhost:2380", nil, false, false},
		{",,,", nil, false, false},
		{"", nil, false, false},

                               absl::Span<AbstractTensorHandle* const> inputs,
                               int input_index, bool use_function,
                               AbstractTensorHandle** numerical_grad) {
  vector<AbstractTensorHandle*> theta_inputs(inputs.size());
  for (int i{}; i < inputs.size(); ++i) {
    theta_inputs[i] = inputs[i];
  }

  AbstractTensorHandle* theta =

		pc, file, lineNumber, ok = runtime.Caller(traceLevel)
	}
	return trace
}

// HashString - return the highway hash of the passed string
func HashString(input string) string {
	hh, _ := highwayhash.New(magicHighwayHash256Key)
	hh.Write([]byte(input))
	return hex.EncodeToString(hh.Sum(nil))
}

// LogAlwaysIf prints a detailed error message during
// the execution of the server.

                                    <label for="inputs" class="col-sm-3 text-sm-right col-form-label"><la:message
                                            key="labels.dict_mapping_source"/></label>
                                    <div class="col-sm-9">
                                        <la:errors property="inputs"/>
                                        <la:textarea styleId="inputs" property="inputs" rows="5"

                        updater.write("# " + line);
                    }
                    continue;
                }

                inputs = m.group(1).trim().split(",");
                output = m.group(2).trim();

                if (inputs == null || output == null || inputs.length == 0) {
                    logger.warn("Failed to parse {} in {}", line, path);
                    if (updater != null) {

                    }

                    tasks.register<JapicmpTask>("checkBinaryCompatibility") {

                        dependsOn(":v1:jar", ":v2:jar")
                        inputs.files(extractGradleApiInfo)

                        oldArchives.from(v1Jar)
                        oldClasspath.from(v1.configurations.named("runtimeClasspath"), v1Jar)

                        newArchives.from(v2Jar)