std::unique_ptr<OperationPass<func::FuncOp>>
CreateReplicateTensorListInitOpsPass();

// Performs Shape Inference on the TensorFlow dialect using the global registry.
std::unique_ptr<OperationPass<ModuleOp>> CreateTFShapeInferencePass(
    ArrayRef<ArrayRef<int64_t>> input_shapes = {});

// Performs TF.data optimizations.
std::unique_ptr<OperationPass<func::FuncOp>> CreateTFDataOptimizationPass();

func (api objectAPIHandlers) ListObjectsV2Handler(w http.ResponseWriter, r *http.Request) {
	ctx := newContext(r, w, "ListObjectsV2")
	api.listObjectsV2Handler(ctx, w, r, false)
}

// listObjectsV2Handler performs listing either with or without extra metadata.
func (api objectAPIHandlers) listObjectsV2Handler(ctx context.Context, w http.ResponseWriter, r *http.Request, metadata bool) {

            }
          }
        } catch (Throwable e) {
          throw sanityError(classToTest, SERIALIZABLE_TEST_METHOD_NAMES, "serializable test", e);
        }
      }
    }
  }

  /**
   * Performs {@link NullPointerTester} checks for all top-level classes in the package. For a class
   * {@code C}
   *
   * <ul>
   *   <li>All visible static methods are checked such that passing null for any parameter that's

            }
          }
        } catch (Throwable e) {
          throw sanityError(classToTest, SERIALIZABLE_TEST_METHOD_NAMES, "serializable test", e);
        }
      }
    }
  }

  /**
   * Performs {@link NullPointerTester} checks for all top-level classes in the package. For a class
   * {@code C}
   *
   * <ul>
   *   <li>All visible static methods are checked such that passing null for any parameter that's

		if err != nil {
			return nil, 0, 0, err
		}
		var decRangeLength int64
		decRangeLength, err = rs.GetLength(decSize)
		if err != nil {
			return nil, 0, 0, err
		}

		// We define a closure that performs decryption given
		// a reader that returns the desired range of
		// encrypted bytes. The header parameter is used to
		// provide encryption parameters.

           "callees.";
  let constructor = "TF::CreateResourceDeviceInferencePass()";
  let description = [{
    A pass that propagates device assignment of resources on a module. It
    performs in-function propagation, as well as cross-function propagation from
    callers to callees.

    This pass changes the module by adding "tf.device" attribute to function
    arguments and adding "device" attribute to TF ops.

		storageRESTDiskID: *client.diskID.Load(),
		storageRESTVolume: volume,
	}))
	if err != nil {
		return vol, toStorageErr(err)
	}
	vol = *v
	// Performs shallow copy, so we can reuse.
	storageStatVolRPC.PutResponse(v)
	return vol, nil
}

// DeleteVol - Deletes a volume over the network.

  let summary = [{
Perform hybrid quantized convolution of float Tensor `lhs` and quantized Tensor `rhs`.
  }];

  let description = [{
Given float `lhs` and quantized `rhs`, internally performs quantization on `lhs`,
and then performs quantized convolution on quantized `lhs` and `rhs`.

	PrevObjLabels   labels.Set
	PrevObjFields   fields.Set
	Key             string
	ResourceVersion uint64
	RecordTime      time.Time
}

// Computing a key of an object is generally non-trivial (it performs
// e.g. validation underneath). Similarly computing object fields and
// labels. To avoid computing them multiple times (to serve the event
// in different List/Watch requests), in the underlying store we are

        this.ignoreCleanupAssertions = true;
        return this;
    }

    @Override
    public void resetExpectations() {
        cleanup();
    }

    /**
     * Performs cleanup at completion of the test.
     */
    public void cleanup() {
        stopRunningBuilds();
        cleanupIsolatedDaemons();
        checkForDaemonCrashesInSharedLocations();