# 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)]