* part of the smeared hash of the element not covered by the hashtable mask, whereas the low bits
   * are the "next" pointer (pointing to the next entry in the bucket chain), which will always be
   * less than or equal to the hashtable mask.
   *
   * <pre>
   * hash  = aaaaaaaa
   * mask  = 00000fff
   * next  = 00000bbb
   * entry = aaaaabbb

   * part of the smeared hash of the key not covered by the hashtable mask, whereas the low bits are
   * the "next" pointer (pointing to the next entry in the bucket chain), which will always be less
   * than or equal to the hashtable mask.
   *
   * <pre>
   * hash  = aaaaaaaa
   * mask  = 00000fff
   * next  = 00000bbb
   * entry = aaaaabbb

   * part of the smeared hash of the key not covered by the hashtable mask, whereas the low bits are
   * the "next" pointer (pointing to the next entry in the bucket chain), which will always be less
   * than or equal to the hashtable mask.
   *
   * <pre>
   * hash  = aaaaaaaa
   * mask  = 00000fff
   * next  = 00000bbb
   * entry = aaaaabbb

// pass is a part of the ConvertTpuModelToCpu pass to support BF16 optimized TPU
// model quantization.
std::unique_ptr<OperationPass<ModuleOp>> CreateCastBf16OpsToF32Pass();

// Creates a pass that lifts HashTable ops as function arguments. In the graph
// execution mode, resource ops with the same `shared_name` attribute point to
// the same underlying resource. This is not true in the eager execution mode.

			return tx.Exec("DROP TABLE IF EXISTS ?", m.CurrentTable(stmt)).Error
		}); err != nil {
			return err
		}
	}
	return nil
}

// HasTable returns table exists or not for value, value could be a struct or string
func (m Migrator) HasTable(value interface{}) bool {
	var count int64

	m.RunWithValue(value, func(stmt *gorm.Statement) error {
		currentDatabase := m.DB.Migrator().CurrentDatabase()

	// behave differently.
	m[nan] = 1
	m[nan] = 2
	m[nan] += 4

	cnt := 0
	s := 0
	growflag := true
	for k, v := range m {
		if growflag {
			// force a hashtable resize
			for i := 0; i < 50; i++ {
				m[float64(i)] = i
			}
			for i := 50; i < 100; i++ {
				m[float64(i)] += i
			}
			growflag = false
		}
		if k != k {
			cnt++
			s |= v
		}

  let constructor = "CreateInsertCallOnceOpFromSessionInitializerPass()";
  let dependentDialects = ["TFL::TensorFlowLiteDialect"];
}

def LegalizeHashTablesPass : Pass<"tfl-legalize-hashtables-tf", "mlir::ModuleOp"> {
  let summary = "Legalize TensorFlow hash tables to TensorFlow Lite dialect.";
  let constructor = "CreateLegalizeHashTablesPass()";
  let dependentDialects = ["TFL::TensorFlowLiteDialect"];
}

  PLACEHOLDER_FOR_GREATER_OP_CODES = 127,
  CUMSUM = 128,
  CALL_ONCE = 129,
  BROADCAST_TO = 130,
  RFFT2D = 131,
  CONV_3D = 132,
  IMAG=133,
  REAL=134,
  COMPLEX_ABS=135,
  HASHTABLE = 136,
  HASHTABLE_FIND = 137,
  HASHTABLE_IMPORT = 138,
  HASHTABLE_SIZE = 139,
  REDUCE_ALL = 140,
  CONV_3D_TRANSPOSE = 141,
  VAR_HANDLE = 142,
  READ_VARIABLE = 143,
  ASSIGN_VARIABLE = 144,
}

  PLACEHOLDER_FOR_GREATER_OP_CODES = 127,
  CUMSUM = 128,
  CALL_ONCE = 129,
  BROADCAST_TO = 130,
  RFFT2D = 131,
  CONV_3D = 132,
  IMAG=133,
  REAL=134,
  COMPLEX_ABS=135,
  HASHTABLE = 136,
  HASHTABLE_FIND = 137,
  HASHTABLE_IMPORT = 138,
  HASHTABLE_SIZE = 139,
  REDUCE_ALL = 140,
  CONV_3D_TRANSPOSE = 141,
  VAR_HANDLE = 142,
  READ_VARIABLE = 143,
  ASSIGN_VARIABLE = 144,

//     consistent. For now, we require we know the current package
//     path so we can always expand symbol names. (Otherwise,
//     symbols with relocations are not considered hashable.)
//
// For now, we assume there is no circular dependencies among
// hashed symbols.
func (w *writer) contentHash(s *LSym) goobj.HashType {
	h := notsha256.New()
	var tmp [14]byte