Create python generator files for gsm symbolic templates

reasoning_gym/arithmetic/gsm_symbolic/generator_99.py

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+from random import Random
+from typing import Dict, Any
+
+def generate_from_variables(name: str, currency: str, initial_amount: float, 
+                          quantity: int, item: str, store_type: str, 
+                          unit_price: float) -> Dict[str, Any]:
+    total_cost = quantity * unit_price
+    remaining = initial_amount - total_cost
+    
+    question = f"{name} has {currency}{initial_amount:.2f} and wants to buy {quantity} {item}s from a bin at the {store_type} store. Each {item} costs {currency}{unit_price:.2f}. How much money does {name} have left after paying for the {item}s?"
+    
+    answer_cot = f"{name} paid {quantity} * {currency}{unit_price:.2f} = {currency}{total_cost:.2f} for the {item}s.\n{name} has {currency}{initial_amount:.2f} - {currency}{total_cost:.2f} = {currency}{int(remaining)} left.\n#### {int(remaining)}"
+
+    return {
+        'question': question,
+        'answer': str(int(remaining)),
+        'answer_cot': answer_cot,
+        'answer_value': int(remaining),
+        'variables': {
+            'name': name,
+            'currency': currency,
+            'initial_amount': initial_amount,
+            'quantity': quantity,
+            'item': item,
+            'store_type': store_type,
+            'unit_price': unit_price,
+            'total_cost': total_cost,
+            'remaining': remaining
+        }
+    }
+
+def generate_example(rng: Random, difficulty: float = 1.0) -> Dict[str, Any]:
+    names = ["David", "John", "Michael", "James", "William", "Robert"]
+    currencies = ["$", "€", "£"]
+    items = ["screw", "nail", "washer", "nut", "anchor"]
+    store_types = ["hardware", "home improvement", "construction supply"]
+    
+    name = rng.choice(names)
+    currency = rng.choice(currencies)
+    item = rng.choice(items)
+    store_type = rng.choice(store_types)
+    
+    # Generate values ensuring conditions are met
+    quantity = int(rng.randint(15, int(60 * difficulty)))
+    unit_price = round(rng.uniform(0.01, min(1.0, 1.0 * difficulty)), 2)
+    
+    # Ensure initial amount is sufficient and result is integer
+    total_cost = quantity * unit_price
+    remaining = rng.randint(1, int(100 * difficulty))
+    initial_amount = total_cost + remaining
+    
+    result = generate_from_variables(name, currency, initial_amount, quantity, 
+                                   item, store_type, unit_price)
+    
+    return {
+        'question': result['question'],
+        'answer': result['answer'],
+        'metadata': {
+            'difficulty': difficulty,
+            'answer_value': result['answer_value'],
+            'answer_cot': result['answer_cot'],
+            'variables': result['variables']
+        }
+    }
+
+def original_example() -> Dict[str, Any]:
+    return generate_from_variables("David", "$", 12.48, 16, "bolt", "hardware", 0.03)