if err != nil {
		t.Fatalf("Unable to create temporary file. %v", err)
	}
	defer os.Remove(tempFile5)

	testCases := []struct {
		certFile          string
		expectedResultLen int
		expectedErr       bool
	}{
		{"nonexistent-file", 0, true},
		{tempFile1, 0, true},
		{tempFile2, 0, true},
		{tempFile3, 0, true},
		{tempFile4, 1, false},
		{tempFile5, 2, false},
	}

package ioutil

import (
	"io"
	"os"

	"github.com/minio/minio/internal/lock"
)

// AppendFile - appends the file "src" to the file "dst"
func AppendFile(dst string, src string, osync bool) error {
	appendFile, err := lock.Open(dst, os.O_WRONLY|os.O_APPEND|os.O_CREATE, 0o666)
	if err != nil {
		return err
	}
	defer appendFile.Close()

	srcFile, err := lock.Open(src, os.O_RDONLY, 0o666)

func RegisterSerializer(name string, serializer SerializerInterface) {
	serializerMap.Store(strings.ToLower(name), serializer)
}

// GetSerializer get serializer
func GetSerializer(name string) (serializer SerializerInterface, ok bool) {
	v, ok := serializerMap.Load(strings.ToLower(name))
	if ok {
		serializer, ok = v.(SerializerInterface)
	}
	return serializer, ok
}

func init() {
	RegisterSerializer("json", JSONSerializer{})

        new TensorSliceReader::VarToShapeMap(reader_->GetVariableToShapeMap()));
    var_to_data_type_map_.reset(new TensorSliceReader::VarToDataTypeMap(
        reader_->GetVariableToDataTypeMap()));
  }
}

bool CheckpointReader::HasTensor(const string& name) const {
  if (reader_ != nullptr) {
    return reader_->HasTensor(name, nullptr, nullptr);
  }
  return v2_reader_->Contains(name);
}

package cmd

import (
	"context"
	"reflect"
	"testing"
)

func TestServerConfigFile(t *testing.T) {
	for _, testcase := range []struct {
		config      string
		expectedErr bool
		hash        string
	}{
		{
			config:      "testdata/config/1.yaml",
			expectedErr: false,
			hash:        "hash:02bf70285dc71f76",
		},
		{
			config:      "testdata/config/2.yaml",

// license that can be found in the LICENSE file.

package asm

import (
	"cmd/asm/internal/lex"
	"strings"
	"testing"
	"text/scanner"
)

type exprTest struct {
	input  string
	output int64
	atEOF  bool
}

var exprTests = []exprTest{
	// Simple
	{"0", 0, true},
	{"3", 3, true},
	{"070", 8 * 7, true},
	{"0x0f", 15, true},
	{"0xFF", 255, true},

  // one PriorityClasses exists with their `globalDefault` field set to true,
  // the smallest value of such global default PriorityClasses will be used as the default priority.
  // +optional
  optional bool globalDefault = 3;

  // description is an arbitrary string that usually provides guidelines on
  // when this priority class should be used.
  // +optional
  optional string description = 4;

)

// String returns string representation of status
func (s StatusType) String() string {
	return string(s)
}

// Empty returns true if this status is not set
func (s StatusType) Empty() bool {
	return string(s) == ""

 */
absl::Status CalcNumericalGrad(AbstractContext* ctx, Model forward,
                               absl::Span<AbstractTensorHandle* const> inputs,
                               int input_index, bool use_function,
                               AbstractTensorHandle** numerical_grad);

}  // namespace gradients
}  // namespace tensorflow

  absl::StatusOr<core::RefCountPtr<FunctionRecord>> GetFunctionRecord()
      override {
    return func_record_.GetNewRef();
  }

  // For LLVM style RTTI.
  static bool classof(const AbstractFunction* ptr) {
    return ptr->getKind() == kGraph;
  }

 private:
  core::RefCountPtr<FunctionRecord> func_record_;
};
}  // namespace graph
}  // namespace tracing