Create python generator files for gsm symbolic templates

reasoning_gym/arithmetic/gsm_symbolic/generator_58.py

@@ -0,0 +1,61 @@
+from random import Random
+from typing import Dict, Any
+
+def generate_from_variables(name: str, container: str, liquid: str, volume: int, unit: str,
+                          num_containers: int, calories: int) -> Dict[str, Any]:
+    total_volume = volume * num_containers
+    total_calories = total_volume * calories
+    
+    question = f"A {container} of {liquid} is {volume} {unit}s of {liquid}. {name} drinks {num_containers} {container}s of {liquid}. If {liquid} has {calories} calories per {unit} how many calories did he consume?"
+    
+    answer_cot = f"He drank {volume}*{num_containers}={total_volume} {unit}s of {liquid}.\nSo he drank {total_volume}*{calories}={total_calories} calories of {liquid}\n#### {total_calories}"
+    
+    return {
+        'question': question,
+        'answer': str(total_calories),
+        'answer_cot': answer_cot,
+        'answer_value': total_calories,
+        'variables': {
+            'name': name,
+            'container': container,
+            'liquid': liquid,
+            'volume': volume,
+            'unit': unit,
+            'num_containers': num_containers,
+            'calories': calories,
+            'total_volume': total_volume,
+            'total_calories': total_calories
+        }
+    }
+
+def generate_example(rng: Random, difficulty: float = 1.0) -> Dict[str, Any]:
+    names = ["John", "Mike", "James", "David", "Robert", "William"]
+    containers = ["cup", "bottle", "carton"] 
+    liquids = ["juice", "soda", "sparkling water", "tea", "lemonade"]
+    units = ["ounce", "mL", "cc", "oz"]
+
+    name = rng.choice(names)
+    container = rng.choice(containers)
+    liquid = rng.choice(liquids)
+    unit = rng.choice(units)
+    
+    volume = int(rng.randint(6, int(16 * difficulty)))
+    num_containers = int(rng.randint(2, int(6 * difficulty)))
+    calories = int(rng.randint(2, int(10 * difficulty)))
+
+    result = generate_from_variables(name, container, liquid, volume, unit,
+                                   num_containers, calories)
+    
+    return {
+        'question': result['question'],
+        'answer': result['answer'],
+        'metadata': {
+            'difficulty': difficulty,
+            'answer_value': result['answer_value'],
+            'answer_cot': result['answer_cot'],
+            'variables': result['variables']
+        }
+    }
+
+def original_example() -> Dict[str, Any]:
+    return generate_from_variables("John", "glass", "milk", 8, "ounce", 2, 3)