| # Copyright 2025 Individual Contributor: Mert Unsal | |
| # | |
| # Licensed under the Apache License, Version 2.0 (the "License"); | |
| # you may not use this file except in compliance with the License. | |
| # You may obtain a copy of the License at | |
| # | |
| # http://www.apache.org/licenses/LICENSE-2.0 | |
| # | |
| # Unless required by applicable law or agreed to in writing, software | |
| # distributed under the License is distributed on an "AS IS" BASIS, | |
| # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. | |
| # See the License for the specific language governing permissions and | |
| # limitations under the License. | |
| from .math import compute_score | |
| def compute_score_batched(data_sources, solution_strs, ground_truths, extra_infos): | |
| """ | |
| This is a demonstration of how the batched reward function should look like. | |
| Typically, you want to use batched reward to speed up the process with parallelization | |
| """ | |
| return [compute_score(solution_str, ground_truth) for solution_str, ground_truth in zip(solution_strs, ground_truths)] | |