初始化项目，由ModelHub XC社区提供模型

Model: ayh015/myLightningOPD
Source: Original Platform

slime/rollout/rm_hub/deepscaler.py

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+# SPDX-FileCopyrightText: Copyright (c) 2026 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-License-Identifier: Apache-2.0
+
+from .math_utils import extract_answer, grade_answer_mathd, grade_answer_sympy
+
+
+def get_deepscaler_rule_based_reward(response, label):
+    if "</think>" in response:
+        model_solution = response.split("</think>")[-1]
+    elif "###Response" in response:
+        model_solution = response.split("###Response")[1]
+    else:
+        return 0
+
+    model_answer = extract_answer(model_solution)
+    if model_answer is None:
+        return 0
+    if label == "":
+        return 0
+
+    # Convert single answer to list for uniform processing
+    assert isinstance(label, (str, float, int))
+    ground_truths = [label]
+
+    # Process each ground truth
+    processed_ground_truths = []
+    for truth in ground_truths:
+        truth = str(truth)
+        if "\\boxed" in truth:
+            processed_truth = extract_answer(truth)
+            if processed_truth is not None:
+                processed_ground_truths.append(processed_truth)
+        else:
+            processed_ground_truths.append(truth)
+
+    if not processed_ground_truths:
+        return 0
+
+    # Check against all possible correct answers
+    for ground_truth in processed_ground_truths:
+        is_correct = grade_answer_mathd(model_answer, ground_truth) or grade_answer_sympy(model_answer, ground_truth)
+        if is_correct:
+            return 1
+
+    return 0