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(

)

func TestKVFields(t *testing.T) {
	tests := []struct {
		input          string
		keys           []string
		expectedFields map[string]struct{}
	}{
		// No keys present
		{
			input:          "",
			keys:           []string{"comment"},
			expectedFields: map[string]struct{}{},
		},
		// No keys requested for tokenizing
		{
			input:          `comment="Hi this is my comment ="`,
			keys:           []string{},

	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 {

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},

                                    <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"

                         absl::Span<AbstractTensorHandle*> outputs) {
  return ops::MatMul(ctx, inputs[0], inputs[1], &outputs[0],
                     /*transpose_a=*/false,
                     /*transpose_b=*/false, "MatMul");
}

absl::Status MulModel(AbstractContext* ctx,
                      absl::Span<AbstractTensorHandle* const> inputs,

		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.

					<div class="input-group mb-3">
						<c:set var="ph_new_password">
							<la:message key="labels.profile.placeholder_new_password" />
						</c:set>
						<la:password property="newPassword" class="form-control"
									 placeholder="${ph_new_password}" />
						<div class="input-group-append">
							<span class="input-group-text"><em class="fa fa-lock fa-fw"></span>
						</div>
					</div>
					<div class="input-group mb-3">

        }
        assertImageSize(outputFile, 100, 66);

        imagePath = "thumbnail/600x400.jpg";
        try (ImageInputStream input = ImageIO.createImageInputStream(classLoader.getResourceAsStream(imagePath))) {
            generator.saveImage(input, outputFile);
        }
        assertImageSize(outputFile, 100, 66);

        imagePath = "thumbnail/400x400.png";

	readCloser   io.ReadCloser    // raw input
	buf          *bufio.Reader    // input to the splitter
	columnNames  []string         // names of columns
	nameIndexMap map[string]int64 // name to column index
	current      [][]string       // current block of results to be returned
	recordsRead  int              // number of records read in current slice
	input        chan *queueItem  // input for workers