%res#60, %res#61, %res#62, %res#63, %res#64, %res#65, %res#66, %res#67, %res#68, %res#69, %res#70, %res#71, %res#72, %res#73, %res#74,
      %res#75, %res#76, %res#77, %res#78, %res#79, %res#80, %res#81, %res#82, %res#83, %res#84, %res#85, %res#86, %res#87, %res#88, %res#89,

func (tt h12Compare) normalizeRes(t *testing.T, res *Response, wantProto string) {
	if res.Proto == wantProto || res.Proto == "HTTP/IGNORE" {
		res.Proto, res.ProtoMajor, res.ProtoMinor = "", 0, 0
	} else {
		t.Errorf("got %q response; want %q", res.Proto, wantProto)
	}
	slurp, err := io.ReadAll(res.Body)

	res.Body.Close()
	res.Body = slurpResult{
		ReadCloser: io.NopCloser(bytes.NewReader(slurp)),

	res := map[string]*route.RouteConfiguration{}
	for _, l := range rc {
		res[l.Name] = l
	}
	return res
}

func ExtractListenerFilters(l *listener.Listener) map[string]*listener.ListenerFilter {
	res := map[string]*listener.ListenerFilter{}
	for _, lf := range l.ListenerFilters {
		res[lf.Name] = lf
	}
	return res
}

def LiftBatchMatMul : Pat<
  (TF_BatchMatMulV2Op:$res $x, $y, $adj_x, $adj_y, $grad_x, $grad_y),
  (LiftAsTFPartitionedCall<"composite_batch_matmul_fn">
    (ArgumentList $x, $y),
    (ResultList $res),
    (NamedAttributeList
      (NamedAttr<"adj_x"> $adj_x),
      (NamedAttr<"adj_y"> $adj_y))),
  [(IsNotInLiftedFunc $res)], [], (addBenefit 1)>;

def LiftEinsum : Pat<

    (ArgumentList $lhs, $rhs, $bias),
    (ResultList $res),
    (NamedAttributeList
      (NamedAttr<"dot_dimension_numbers"> $dot_dimension_numbers),
      (NamedAttr<"precision_config"> (DefaultOrNullAttr $precision_config)))),
  [(IsNotInLiftedFunc $res), (IsStableHLOConstantOp $bias)], [], (addBenefit 5)>;

def LiftConvWithBiasDynamic : Pat<
  (StableHLO_AddOp:$res

			results = append(results, cachedItem)
			cached++
			continue
		}
		regenerated++
		res := s.generate(sr, configClusterSecrets, proxyClusterSecrets, proxy)
		if res != nil {
			s.cache.Add(sr, req, res)
			results = append(results, res)
		}
	}
	return results, model.XdsLogDetails{
		Incremental:    updatedSecrets != nil,

      "tf.Yield"(%cond, %ca, %cb, %cc) : (tensor<i1>, !res, !res, !res) -> ()
    }, {
      ^bb0(%ba: !res, %bb: !res, %bc: !res):
      "tf.Yield"(%bb, %bc, %ba) : (!res, !res, !res) -> ()
    }) { is_stateless = false} : (!res, !res, !res) -> (!res, !res, !res)

    %3 = "tf.ReadVariableOp"(%2) : (!res) -> tensor<10xf32>
    return
  }

			} else {
				kvsrc.Value = "off"
			}
		}
		res = append(res, madmin.IDPCfgInfo{
			Key:   kvsrc.Key,
			Value: kvsrc.Value,
			IsCfg: true,
			IsEnv: kvsrc.Src == config.ValueSourceEnv,
		})
	}

	if provCfg, exists := r.ProviderCfgs[cfgName]; exists && provCfg.RolePolicy != "" {
		// Append roleARN
		res = append(res, madmin.IDPCfgInfo{
			Key:   "roleARN",
			Value: provCfg.roleArn.String(),

				return res, io.ErrUnexpectedEOF
			}
			return res, err
		}

		var err error
		var name string
		if name, err = r.mr.ReadString(); err != nil {
			r.err = err
			return res, err
		}
		if err = r.mr.Skip(); err != nil {
			if err == io.EOF {
				err = io.ErrUnexpectedEOF
			}
			r.err = err
			return res, err
		}
		res = append(res, name)
	}
	return res, nil
}

        ArtifactResolutionResult res = collect(createSet(new Object[] {a.artifact, b.artifact}));
        assertEquals(createSet(new Object[] {a.artifact, b.artifact}), res.getArtifacts(), "Check artifact list");
        assertEquals("3.8.1", getArtifact("junit", res.getArtifacts()).getVersion(), "Check version");
        assertEquals(
                Artifact.SCOPE_TEST, getArtifact("junit", res.getArtifacts()).getScope(), "Check artifactScope");