ws := new(restful.WebService)
	ws.
		Path("/run")
	ws.Route(ws.POST("/{podNamespace}/{podID}/{containerName}").
		To(s.getRun).
		Operation("getRun"))
	ws.Route(ws.POST("/{podNamespace}/{podID}/{uid}/{containerName}").
		To(s.getRun).
		Operation("getRun"))
	s.restfulCont.Add(ws)

	s.addMetricsBucketMatcher("exec")
	ws = new(restful.WebService)
	ws.
		Path("/exec")

          new_results.push_back(element_op.getOut());
        }
      }
    }
    for (auto res : llvm::zip(op->getResults(), new_results)) {
      auto casted = builder.create<CastOp>(
          op->getLoc(), std::get<0>(res).getType(), std::get<1>(res));
      std::get<0>(res).replaceAllUsesWith(casted.getOut());
    }

    // Copy all the unregisted attributes to the new op.

  // check that inputs length is same as num_replicas.
  if (inputs.size() != replicate.getN()) {
    return replicate.emitError()
           << "Expected numper of inputs (" << inputs.size()
           << ") to append to replicate to be num_replicas ("
           << replicate.getN() << ")";
  }

  // add block arg to region. This is in $body.

            calibrated_type.getMin(), calibrated_type.getMax(),
            /*narrowRange=*/false, calibrated_type.getExpressedType(),
            /*isSigned=*/this->quant_specs_.IsSignedInferenceType());
        if (this->quant_specs_.legacy_float_scale) {
          qtype = mlir::cast<UniformQuantizedType>(
              quant::DownCastScale(qtype, calibrated_type.getMin(),

        auto casted =
            rewriter.create<CastOp>(loc, unconstrainted_type, new_res);
        tensor_list.push_back(casted.getOut());
      }
      auto list_op = rewriter.create<BuildListOp>(loc, res_type, tensor_list);
      new_results.push_back(list_op.getOut());
    }
  }

  // Copy all the allowed attributes to the new op.
  if (failed(CopyNonSymbolRefAttrs(call_op, new_op))) return failure();

                }

                public SubDependencies getSub() {
                    return sub;
                }

                @Configuring
                public void sub(Action<? super SubDependencies> configure) {
                    configure.execute(getSub());
                }
            }
        """

	msg.Iovlen = 1
	if n, err = sendmsg(fd, &msg, flags); err != nil {
		return 0, err
	}
	if len(oob) > 0 && len(p) == 0 {
		n = 0
	}
	return n, nil
}

func (sa *RawSockaddrUnix) getLen() (int, error) {
	// Some versions of AIX have a bug in getsockname (see IV78655).
	// We can't rely on sa.Len being set correctly.
	n := SizeofSockaddrUnix - 3 // subtract leading Family, Len, terminating NUL.

  assert(metadata_str && "Missing compilation metadata");
  tensorflow::tpu::TPUCompileMetadataProto metadata;
  metadata.ParseFromString(std::string(metadata_str.getValue()));
  int64_t num_replicas = replicate.getN();
  // Find the formattable operands of `execute`, which must be mirrored
  // variables (arguments of `replicate`), and must be pass-throughs from while
  // operands.

    auto min_max_type = GetUniformQuantizedType(
        op, op.getMin().getType(), op.getScales(), op.getZeroPoints(),
        /*expressed_type=*/rewriter.getF32Type(), op.getQuantizationMinVal(),
        op.getQuantizationMaxVal(), op.getQuantizationAxis(), rewriter);
    if (failed(min_max_type)) {
      return failure();
    }
    auto min_or = CreateConstantOrConvertOp(op, adaptor.getMin(), *min_max_type,

	require.NoError(t, c.rotateLogs(ctx))

	// Start a routine that can monitor the queue and shutdown the queue to trigger the retrun from the processQueueItems
	// Keeping the monitor duration smaller in order to keep the unwanted delay in the test to a minimal.
	go func() {
		pollTimeoutCtx, cancel := context.WithTimeout(ctx, 10*time.Second)