package main

import (
	"encoding/binary"
	"errors"
	"flag"
	"fmt"
	"log"
	"os"

	"github.com/olekukonko/tablewriter"
	"github.com/pkg/xattr"
)

var (
	path, name string
	value      uint64
	set, list  bool
)

func getxattr(path, name string) (uint64, error) {
	buf, err := xattr.LGet(path, name)
	if err != nil {
		return 0, err
	}

	MOVF	$1, X5				// ERROR "unsupported constant load"
	MOVBU	X5, (X6)			// ERROR "unsupported unsigned store"
	MOVHU	X5, (X6)			// ERROR "unsupported unsigned store"
	MOVWU	X5, (X6)			// ERROR "unsupported unsigned store"
	MOVF	F0, F1, F2			// ERROR "illegal MOV instruction"
	MOVD	F0, F1, F2			// ERROR "illegal MOV instruction"
	MOV	X10, X11, X12			// ERROR "illegal MOV instruction"

                .desc("Quiet output - only show errors")
                .build());
        options.addOption(Option.builder(Character.toString(VERBOSE))
                .longOpt("verbose")
                .desc("Produce execution verbose output")
                .build());
        options.addOption(Option.builder(Character.toString(ERRORS))
                .longOpt("errors")
                .desc("Produce execution error messages")

   * data, and vertical if there is variance in the {@code y} data but not the {@code x} data.
   *
   * <p>This fit minimizes the root-mean-square error in {@code y} as a function of {@code x}. This
   * error is defined as the square root of the mean of the squares of the differences between the
   * actual {@code y} values of the data and the values predicted by the fit for the {@code x}

			tx.Rollback()
		}
	}()
	if err := tx.Error; err != nil {
		t.Errorf("Failed to start transaction, got error %v\n", err)
	}

	if err := tx.Where("name=?", "zzjin").Delete(&User{}).Error; err != nil {
		tx.Rollback()
		t.Errorf("Failed to run one transaction, got error %v\n", err)
	}

	if err := tx.Create(&User{Name: "zzjin"}).Error; err != nil {
		tx.Rollback()
		t.Errorf("Failed to run one transaction, got error %v\n", err)

#      compress: false # S2/Snappy compressed archive
#      smallerThan: 5MiB # create archive for all objects smaller than 5MiB
#      skipErrs: false # skips any source side read() errors

  # target where the objects must be replicated
  target:
    type: minio # valid values are "s3" or "minio"
    bucket: mytest
    prefix: stage # 'PREFIX' is optional

	assert.NoError(t, err)

	client.RunAndWait(ctx.Done())

	t.Run("found pod", func(t *testing.T) {
		p, err := pluginServer.getPodWithRetry(log, pod.Name, pod.Namespace)
		assert.NoError(t, err)
		assert.Equal(t, p, pod)
	})
	t.Run("no pod", func(t *testing.T) {
		p, err := pluginServer.getPodWithRetry(log, "fake", pod.Namespace)
		assert.Error(t, err)
		assert.Equal(t, p, nil)
	})

using tensorflow::string;
using tensorflow::Tensor;
using tensorflow::TensorId;
using tensorflow::TensorShapeProto;
using tensorflow::VersionDef;
using tensorflow::errors::FailedPrecondition;
using tensorflow::errors::InvalidArgument;
using tensorflow::errors::OutOfRange;
using tensorflow::gtl::ArraySlice;
using tensorflow::strings::StrCat;

extern "C" {

		}
	}

	return m.DB.Exec("ALTER TABLE ? RENAME TO ?", oldTable, newTable).Error
}

// AddColumn create `name` column for value
func (m Migrator) AddColumn(value interface{}, name string) error {
	return m.RunWithValue(value, func(stmt *gorm.Statement) error {
		// avoid using the same name field
		if stmt.Schema == nil {
			return errors.New("failed to get schema")
		}
		f := stmt.Schema.LookUpField(name)

	var fi FileInfo
	var err error
	var inData xlMetaInlineData
	if buf, data, e := isIndexedMetaV2(xlMetaBuf); e != nil {
		return FileInfo{}, e
	} else if buf != nil {
		inData = data
		fi, err = buf.ToFileInfo(volume, path, versionID, true)
		if len(buf) != 0 && errors.Is(err, errFileNotFound) {