// temporary to pass to the runtime conversion routine.
	case ir.OCONVIFACE:
		n := n.(*ir.ConvExpr)
		n.X = o.expr(n.X, nil)
		if n.X.Type().IsInterface() {
			return n
		}
		if _, _, needsaddr := dataWordFuncName(n.X.Type()); needsaddr || isStaticCompositeLiteral(n.X) {
			// Need a temp if we need to pass the address to the conversion function.

        });
  }
  return absl::OkStatus();
}

// The hlo->tf conversion is done in three steps; pre-quantization,
// quantization, and post-quantization. Quantization is optional, enabled only
// when `pass_config.enable_stablehlo_quantizer` is `true`. If quantization is
// not run, it only performs the hlo->tf conversion.
//
// All parameters except for `pass_config`, `pass_manager`, `status_handler`,

	// against the claims. This is done once here so that we don't have to convert
	// the claims to unstructured multiple times in the CEL mapper for each mapping.
	// Only perform this conversion if any of the mapping or validation rules contain
	// CEL expressions.
	// TODO(aramase): In the future when we look into making distributed claims work,

// Copyright 2009 The Go Authors. All rights reserved.
// Use of this source code is governed by a BSD-style
// license that can be found in the LICENSE file.

// Binary to decimal floating point conversion.
// Algorithm:
//   1) store mantissa in multiprecision decimal
//   2) shift decimal by exponent
//   3) read digits out & format

package strconv

import "math"

// TODO: move elsewhere?
type floatInfo struct {
	mantbits uint

		// comparison is okay as long as one side is
		// assignable to the other.  convert so they have
		// the same type.
		//
		// the only conversion that isn't a no-op is concrete == interface.
		// in that case, check comparability of the concrete type.
		// The conversion allocates, so only do it if the concrete type is huge.
		converted := false
		if r.Type().Kind() != types.TBLANK {
			aop, _ = assignOp(l.Type(), r.Type())

  // ConstantOp, the quantizable_op will be rewired to the existing ConvertOp.
  // This guarantees at most one ConvertOp is created for float32 to float16
  // conversion.
  void QuantizeOpAsFloat16(PatternRewriter& rewriter, ConstantOp op,
                           const std::pair<Operation*, int> quant_op) const {
    const auto [quantizable_op, quantize_operand_num] = quant_op;

		if err != nil {
			return nil, fmt.Errorf("failed to split the SPIFFE bundle URL: %v", err)
		}

		config := &tls.Config{
			ServerName: u.Hostname(),
			RootCAs:    caCertPool,
			MinVersion: tls.VersionTLS12,
		}

		httpClient.Transport = &http.Transport{
			Proxy:           http.ProxyFromEnvironment,
			TLSClientConfig: config,
			DialContext: (&net.Dialer{
				Timeout: time.Second * 10,

    Operation* tf_op = rewriter.create(op_state);
    rewriter.replaceOp(op, tf_op->getResults());

    // Special type fixes for TF Resource Tensors that are casted to
    // Int32 tensor during MLIR->TFLite flatbuffer conversion.
    // TODO(b/146131919): correct handling of resource type
    if (auto tensor_array_v3_op = dyn_cast<TF::TensorArrayV3Op>(tf_op)) {
      Value handle = tensor_array_v3_op.getHandle();

                           "type: opStatus = "
                        << static_cast<int>(status);
      return nullptr;
    }
    if (loses_info) {
      op->emitWarning("Conversion of epsilon loses precision");
    }
    epsilon_attr = b.getFloatAttr(fp_type, epsilon_float);
  }

  auto scalar_type = RankedTensorType::get(/*shape=*/{}, fp_type);
  auto epsilon_tensor_attr = DenseElementsAttr::get(

		},
	}

	for _, tc := range testCases {
		options := mergeDNSOptions(tc.existingDNSConfigOptions, tc.dnsConfigOptions)
		// Options order may be changed after conversion.
		if !sets.New[string](options...).Equal(sets.New[string](tc.expectedOptions...)) {
			t.Errorf("%s: mergeDNSOptions(%v, %v)=%v, want %v", tc.desc, tc.existingDNSConfigOptions, tc.dnsConfigOptions, options, tc.expectedOptions)