/**
     * @return the sessionFlags
     */
    public int getSessionFlags () {
        return this.sessionFlags;
    }


    /**
     * @return security blob
     */
    public byte[] getBlob () {
        return this.blob;
    }

     * @return the isLoggedInAsGuest
     */
    public final boolean isLoggedInAsGuest () {
        return this.isLoggedInAsGuest;
    }


    /**
     * @return the blob
     */
    public final byte[] getBlob () {
        return this.blob;
    }


    @Override
    protected int writeParameterWordsWireFormat ( byte[] dst, int dstIndex ) {
        return 0;
    }


    @Override

                        this.preauthIntegrityHash = trans.calculatePreauthHash(respBytes, 0, respBytes.length, this.preauthIntegrityHash);
                    }
                }

                token = response.getBlob();
            }

            if ( ctx.isEstablished() ) {
                log.debug("Context is established");
                setNetbiosName(ctx.getNetbiosName());
                byte[] sk = ctx.getSigningKey();

    // Create the TF op
    OperationState op_state(op.getLoc(), tf_op_full_name);
    op_state.addOperands(op.getOperands());
    op_state.addTypes(op.getResultTypes());

    SmallVector<NamedAttribute, 2> attrs;
    std::string parsed_op_name;
    tensorflow::NodeDef node_def;
    if (failed(ParseCustomOption(op.getCustomOption().getValue(), op.getLoc(),
                                 parsed_op_name, attrs, node_def))) {

                                                write.getLoc())});
    elem =
        cutil::AccumulateBuffers(elem, original_elem, builder, write.getLoc());
  }
  buffer =
      cutil::SetElement(index_reshape, buffer, elem, builder, write.getLoc());
  cutil::WriteLocalVariable(local_var, buffer, builder, write.getLoc());
  write.getFlowOut().replaceAllUsesWith(write.getFlowIn());
  write.erase();
  return success();
}

        bn_op.getLoc(), bn_op.getVariance(), epsilon);
    multiplier = rewriter.create<mhlo::RsqrtOp>(bn_op.getLoc(), multiplier);
    multiplier = rewriter.create<mhlo::MulOp>(bn_op.getLoc(), multiplier,
                                              bn_op.getScale());

    // Compute rhs = offset - mean * multiplier
    Value rhs = rewriter.create<mhlo::MulOp>(bn_op.getLoc(), multiplier,

        assertEquals("http://www.example.com/", sitemaps[0].getLoc());
        assertEquals("monthly", ((SitemapUrl) sitemaps[0]).getChangefreq());
        assertEquals("0.8", ((SitemapUrl) sitemaps[0]).getPriority());

        assertNull(sitemaps[1].getLastmod());
        assertEquals("http://www.example.com/catalog?item=12&desc=vacation_hawaii", sitemaps[1].getLoc());
        assertEquals("weekly", ((SitemapUrl) sitemaps[1]).getChangefreq());

  weight_transposed_ =
      Transpose2D(&builder_, weight_, weight_type_, fused_func_op_.getLoc());
  projection_transposed_ = Transpose2D(&builder_, projection_, projection_type_,
                                       fused_func_op_.getLoc());

  none_ = CreateNoneValue(&builder_, fused_func_op_.getLoc());
  // Extract input to cifg gates via slicing the weight tensor
  SetWeightForInputToCellGate();

  auto new_buffer = builder.create<TF::IdentityOp>(
      pop.getLoc(), ArrayRef<Type>{buffer.getType()}, ArrayRef<Value>{buffer});
  auto new_size = builder.create<TF::SubOp>(
      pop.getLoc(), ArrayRef<Type>{size.getType()},
      ArrayRef<Value>{size, cutil::GetR1Const({1LL}, builder, pop.getLoc())});
  auto element = cutil::GetElement(new_size, new_buffer, builder, pop.getLoc());
  pop.getOutputHandle().replaceAllUsesWith(new_buffer);

    Type cast_type = quant_type.castFromExpressedType(expressed_type);
    rewriter.setInsertionPointAfter(const_op);
    auto q = rewriter.create<Q>(const_op->getLoc(), cast_type,
                                const_op->getResult(0));
    auto dq = rewriter.create<DQ>(const_op->getLoc(), expressed_type, q);
    op.setOperand(input_index, dq.getResult());
    return success();
  }

  LogicalResult replaceStatsOp(