tx.Statement.attrs = attrs
	return
}

// Assign provide attributes used in [FirstOrCreate] or [FirstOrInit]
//
// Assign adds attributes even if the record is found. If using FirstOrCreate, this means that
// records will be updated even if they are found.
//
//	// assign an email regardless of if the record is not found
//	db.Where(User{Name: "non_existing"}).Assign(User{Email: "******@****.***"}).FirstOrInit(&user)

	DB.Where(&User{Name: "find or create 3"}).Assign("age", 55).FirstOrCreate(&user4)

	if user4.Age != 55 {
		t.Errorf("Failed to set change to 55, got %v", user4.Age)
	}

	if updatedAt1.Format(time.RFC3339Nano) == user4.UpdatedAt.Format(time.RFC3339Nano) {
		t.Errorf("UpdateAt should be changed when update values with assign")
	}

	DB.Where(&User{Name: "find or create 4"}).Assign(User{Age: 44}).FirstOrCreate(&user4)

		"birthday":   time.Now(),
		"active":     f,
	}

	for k, v := range newValues {
		if err := userSchema.FieldsByDBName[k].Set(context.Background(), reflectValue, v); err != nil {
			t.Errorf("no error should happen when assign value to field %v, but got %v", k, err)
		}
	}
	newValues["updated_at"] = time.Time{}
	newValues["active"] = false
	checkField(t, userSchema, reflectValue, newValues)

	// test valuer and other type

// FirstOrInit never modifies the database. It is often used with Assign and Attrs.
//
//	// assign an email if the record is not found
//	db.Where(User{Name: "non_existing"}).Attrs(User{Email: "******@****.***"}).FirstOrInit(&user)
//	// user -> User{Name: "non_existing", Email: "******@****.***"}
//
//	// assign email regardless of if record is found
//	db.Where(User{Name: "jinzhu"}).Assign(User{Email: "******@****.***"}).FirstOrInit(&user)

TEST(CAPI_EXPERIMENTAL, IsStateful) {
  std::unique_ptr<TF_Status, decltype(&TF_DeleteStatus)> status(
      TF_NewStatus(), TF_DeleteStatus);
  int assign = TF_OpIsStateful("AssignAddVariableOp", status.get());
  ASSERT_EQ(TF_OK, TF_GetCode(status.get())) << TF_Message(status.get());
  EXPECT_EQ(assign, 1);
  int id = TF_OpIsStateful("Identity", status.get());
  ASSERT_EQ(TF_OK, TF_GetCode(status.get())) << TF_Message(status.get());
  EXPECT_EQ(id, 0);

   * </ul>
   *
   * <p>This method is suitable for the common use case of dividing work among buckets that meet the
   * following conditions:
   *
   * <ul>
   *   <li>You want to assign the same fraction of inputs to each bucket.
   *   <li>When you reduce the number of buckets, you can accept that the most recently added

                (v1, v2) -> {
                  throw new IllegalArgumentException("Multiple values for key: " + v1 + ", " + v2);
                }),
        (accum, t) -> {
          /*
           * We assign these to variables before calling checkNotNull to work around a bug in our
           * nullness checker.
           */
          K key = keyFunction.apply(t);
          V newValue = valueFunction.apply(t);

- `users[].existingSecret` - secret name that contains the secretKey of user
- `users[].existingSecretKey` - data key in existingSecret secret containing the secretKey
- `users[].policy` - name of the policy to assign to user

### Create service account after install

Install the chart, specifying the service accounts you want to create after install:

```bash

  TFE_Execute(op, &var_handle, &num_retvals, status);
  if (TF_GetCode(status) != TF_OK) return nullptr;
  TFE_DeleteOp(op);
  if (TF_GetCode(status) != TF_OK) return nullptr;
  CHECK_EQ(1, num_retvals);

  // Assign 'value' to it.
  op = TFE_NewOp(ctx, "AssignVariableOp", status);
  if (TF_GetCode(status) != TF_OK) return nullptr;
  TFE_OpSetAttrType(op, "dtype", TF_FLOAT);
  TFE_OpAddInput(op, var_handle, status);

  ASSERT_TRUE(executed);
  auto handle_cleaner = tensorflow::gtl::MakeCleanup(
      [var_handle]() { TFE_DeleteTensorHandle(var_handle); });

  // Assign to the variable, copying to the custom device.
  std::unique_ptr<TFE_TensorHandle, decltype(&TFE_DeleteTensorHandle)> one(
      TestScalarTensorHandle(context.get(), 111.f), TFE_DeleteTensorHandle);