auto tensor_type = mlir::cast<mlir::TensorType>(mlir_arg.getType());
      if (tensor_type.hasRank()) {
        mlir_arg.setType(
            GetTypeFromTFTensorShape(tensor_type.getShape(), resource_type));
      } else {
        mlir_arg.setType(mlir::UnrankedTensorType::get(resource_type));
      }
      has_resource_args = true;
    }

          << type_or_err.status().ToString();
      return type_or_err.status();
    }
    auto type = std::move(type_or_err).value();
    ret_types.push_back(type);
  }
  auto func_type = builder.getFunctionType(input_types, ret_types);

  // Construct function object
  auto func = FuncOp::create(func_loc, name, func_type, /* attrs= */ {});
  func.addEntryBlock();
  auto& body = func.getBody();

			var arr ir.Node
			if t.IsPtr() {
				arr = ha
			} else {
				arr = typecheck.NodAddr(ha)
				arr.SetType(t.PtrTo())
				arr.SetTypecheck(1)
			}
			hs = ir.NewSliceExpr(base.Pos, ir.OSLICEARR, arr, nil, nil, nil)
			// old typechecker doesn't know OSLICEARR, so we set types explicitly
			hs.SetType(types.NewSlice(elem))
			hs.SetTypecheck(1)
		}

              graph->NewName(absl::StrCat("var_shape_", var_node->name())));
          DataType dtype = n->output_type(0);
          AddNodeAttr("dtype", dtype, &const_def);
          TensorProto value;
          value.set_dtype(dtype);
          value.mutable_tensor_shape()->add_dim()->set_size(
              shape_proto.dim_size());
          for (const auto& dim : shape_proto.dim()) {
            if (dtype == DT_INT32) {

        });

        variant.getOutgoing().artifact(target.getTestTask().map(task -> task.getExtensions().getByType(JacocoTaskExtension.class).getDestinationFile()), artifact -> {
            artifact.setType(ArtifactTypeDefinition.BINARY_DATA_TYPE);
            artifact.builtBy(target.getTestTask());
        });
    }

    /**
     * Creates the configurations used by plugin.
     */

      /**
       * Set the MIME type. Expected values for `type` are [MIXED] (the default), [ALTERNATIVE],
       * [DIGEST], [PARALLEL] and [FORM].
       */
      fun setType(type: MediaType) =
        apply {
          require(type.type == "multipart") { "multipart != $type" }
          this.type = type
        }

      /** Add a part to the body. */

  for (int i = 0; i < num_devices; ++i) {
    const string dev_type(TF_DeviceListType(devices, i, status.get()));
    CHECK_EQ(TF_GetCode(status.get()), TF_OK) << TF_Message(status.get());
    const string dev_name(TF_DeviceListName(devices, i, status.get()));
    CHECK_EQ(TF_GetCode(status.get()), TF_OK) << TF_Message(status.get());
    if (dev_type == device_type) {
      *device_name = dev_name;

                .lookupPrincipalByName(getUsername());
        ImmutableList<AclEntry> acl =
            ImmutableList.of(
                AclEntry.newBuilder()
                    .setType(ALLOW)
                    .setPrincipal(user)
                    .setPermissions(EnumSet.allOf(AclEntryPermission.class))
                    .setFlags(DIRECTORY_INHERIT, FILE_INHERIT)
                    .build());

    }
  }

  /** Confirm that [MultipartBody] and [MultipartReader] can work together. */
  @Test fun `multipart round trip`() {
    val body =
      MultipartBody.Builder("boundary")
        .setType(MultipartBody.PARALLEL)
        .addPart("Quick".toRequestBody("text/plain".toMediaType()))
        .addFormDataPart("color", "Brown")
        .addFormDataPart("animal", "fox.txt", "Fox".toRequestBody())
        .build()

                .lookupPrincipalByName(getUsername());
        ImmutableList<AclEntry> acl =
            ImmutableList.of(
                AclEntry.newBuilder()
                    .setType(ALLOW)
                    .setPrincipal(user)
                    .setPermissions(EnumSet.allOf(AclEntryPermission.class))
                    .setFlags(DIRECTORY_INHERIT, FILE_INHERIT)
                    .build());