ConversionPatternRewriter& rewriter) const {
    mhlo::ConvDimensionNumbersAttr dnums = conv_op.getDimensionNumbers();
    // Transposes lhs and rhs if their formats are not NHWC.
    Value lhs = InsertTranspose(
        conv_op.getLhs(), dnums.getInputBatchDimension(),
        dnums.getInputFeatureDimension(), dnums.getInputSpatialDimensions(),
        /*default_batch_dim=*/0, /*default_feature_dim=*/num_spatial_dims + 1,

  xla::ConvolutionDimensionNumbers dnums;
  dnums.ParseFromString(op.getDimensionNumbersAttr().getValue().str());
  if (dnums.input_spatial_dimensions_size() !=
      dnums.kernel_spatial_dimensions_size()) {
    return op.emitOpError() << "Both arguments to convolution must have "
                            << "same number of dimensions.\n";
  }

  if (dnums.input_spatial_dimensions_size() !=

	}

	// Parsing the numbers
	num1, err := strconv.ParseUint(parts[2], 10, 32)
	if err != nil {
		return 0, 0, fmt.Errorf("error parsing line %q: %w", input, err)
	}

	num2, err := strconv.ParseUint(parts[3], 10, 32)
	if err != nil {
		return 0, 0, fmt.Errorf("error parsing line %q: %w", input, err)
	}

	return uint32(num1), uint32(num2), nil
}

      fi
      i=$((i+1))
    else
      echo "No local SCSI SSD disks found."
    fi
  done

  # The following mounts or symlinks NVMe devices
  get-local-disk-num "nvme" "block"
  local nvmeblocknum="${localdisknum}"
  get-local-disk-num "nvme" "fs"
  local nvmefsnum="${localdisknum}"
  # Check if NVMe SSD specified.
  if [ "${nvmeblocknum}" -eq "0" ] && [ "${nvmefsnum}" -eq "0" ]; then

    // to `next`s yield.

    // The number of values we're passing along.
    int num = getNext().front().getTerminator()->getNumOperands();

    // The number of extra values from the parent ops that should go to `next`
    // and `finalize`.
    regions.push_back(RegionSuccessor(
        &getNext(), getNext().front().getArguments().slice(0, num)));
    regions.push_back(RegionSuccessor(

				t.Errorf("Unexpected diff (-want, +got):\n%s", diff)
			}
		})
	}
}

func makeQueuedPodInfos(num int, namePrefix, label string, timestamp time.Time) []*framework.QueuedPodInfo {
	var pInfos = make([]*framework.QueuedPodInfo, 0, num)
	for i := 1; i <= num; i++ {
		p := &framework.QueuedPodInfo{
			PodInfo: mustNewPodInfo(

        else:
            current_generate_unique_id = generate_unique_id_function
        self.unique_id = self.operation_id or current_generate_unique_id(self)
        # normalize enums e.g. http.HTTPStatus
        if isinstance(status_code, IntEnum):
            status_code = int(status_code)
        self.status_code = status_code
        if self.response_model:

  |
  | o need to clean up all the descriptions, matching anything to the current project-descriptor.xml file and
  |   improving on that
  |
  | o use enums where appropriate (eg dependency scope)
  |
  | o a number of elements have a groupId/artifactId and sometimes version. It would be good to have them all extend one
  |   definition of these types
  |
-->

				"timestamp(-62135596801)":            "compilation failed: ERROR: <input>:1:11: invalid timestamp",
			},
		},
		{name: "enums",
			obj: map[string]interface{}{"enumStr": "Pending"},
			schema: objectTypePtr(map[string]schema.Structural{"enumStr": {
				Generic: schema.Generic{
					Type: "string",
				},

from tensorflow.python.saved_model import tag_constants
from tensorflow.python.training import checkpoint_utils
from tensorflow.python.types import core


# Type aliases for quantization method protobuf enums.
_PresetMethod = quant_opts_pb2.QuantizationMethod.PresetMethod
_CalibrationMethod = (
    stablehlo_quant_config_pb2.CalibrationOptions.CalibrationMethod
)

_QuantizationComponent = (