for (Value operand : op_to_inline.getOperands())
          updated_results.push_back(mapper.lookup(operand));
        break;
      }

      // Otherwise, clone the op here.
      rewriter.clone(op_to_inline, mapper);
    }
    rewriter.replaceOp(op, updated_results);

    // Here, shapes of the updated_results may not match the original values. If
    // any of the values are operands of the terminator op, then the function

import java.util.Arrays;

import org.apache.logging.log4j.Level;
import org.apache.logging.log4j.core.Core;
import org.apache.logging.log4j.core.LogEvent;
import org.apache.logging.log4j.core.appender.rewrite.RewritePolicy;
import org.apache.logging.log4j.core.config.plugins.Plugin;
import org.apache.logging.log4j.core.config.plugins.PluginAttribute;
import org.apache.logging.log4j.core.config.plugins.PluginFactory;

                                PatternRewriter& rewriter) const override {
    auto module_op = op->getParentOfType<ModuleOp>();
    SymbolTable symbol_table(module_op);

    auto entry_func_op = dyn_cast_or_null<func::FuncOp>(
        symbol_table.lookup(GetEntryFunctionName(op)));
    if (!entry_func_op) return failure();

    // Replace the XlaCallModuleOp with a new CallOp.

  LogicalResult matchAndRewrite(TF::HashTableV2Op hashtable_op,
                                PatternRewriter& rewriter) const override {
    auto output_type = RankedTensorType::get(
        {1}, TF::ResourceType::get(rewriter.getContext()));

    // Hash the shared name to generate integer hash table id. The TFLite
    // native resource design is based on integer keys to identify the

				name     string
				rewrite  bool
				success  bool
				openPort bool
			}{
				{name: "norewrite-success", rewrite: false, success: true, openPort: false},
				{name: "rewrite-success", rewrite: true, success: true, openPort: true},
			} {
				t.NewSubTest(testCase.name).Run(func(t framework.TestContext) {
					runTCPProbeDeployment(t, ns, testCase.name, testCase.rewrite, testCase.success, testCase.openPort)
				})

                                        OpBuilder &rewriter) {
  auto i64_type = rewriter.getIntegerType(64);
  if (types.size() > 1) {
    llvm::SmallVector<mlir::Attribute> v;
    v.reserve(types.size());
    for (const mlir::Type &t : types) {
      if (mlir::isa<mhlo::TokenType>(t)) continue;
      auto layout = GetTPUInfeedLayout({t}, rewriter);
      if (failed(layout)) return failure();

			for _, testCase := range []struct {
				name     string
				rewrite  bool
				ready    bool
				openPort bool
			}{
				{name: "rewrite-ready", rewrite: true, ready: true, openPort: true},
			} {
				t.NewSubTest(testCase.name).Run(func(t framework.TestContext) {
					runGRPCProbeDeployment(t, ns, testCase.name, testCase.rewrite, testCase.ready, testCase.openPort)
				})
			}
		})
}

    rewriter.setInsertionPointAfter(tf_op.getOperation());
    IntegerAttr num_bits = rewriter.getI64IntegerAttr(tf_op.getNumBits());
    BoolAttr narrow_range = rewriter.getBoolAttr(tf_op.getNarrowRange());
    Type res_type = tf_op.getType();
    TypeAttr qtype = quant::GetQuantizedTypeAttr(
        rewriter, res_type, min_value, max_value, quant_dim, num_bits,

			},
		},
		{
			name: "TestZeroAttemptsShouldReturnNilPolicy",
			// Create a route with a retry policy with zero attempts configured.
			route: &networking.HTTPRoute{
				Retries: &networking.HTTPRetry{
					// Explicitly not retrying.
					Attempts: 0,
				},
			},
			assertFunc: func(g *WithT, policy *envoyroute.RetryPolicy) {
				g.Expect(policy).To(BeNil())
			},
		},
		{

std::unique_ptr<OperationPass<ModuleOp>> CreateCompositeLoweringPass();

// Adds the HLO to TF rewrite patterns to the specified pattern list.
void PopulateLegalizeHloToTfPatterns(RewritePatternSet* patterns,
                                     MLIRContext* context);

// Adds the HLO to TFLite rewrite patterns to the specified pattern list.
void PopulateLegalizeHloToTFLitePatterns(RewritePatternSet* patterns,