Create python generator files for gsm symbolic templates

reasoning_gym/arithmetic/gsm_symbolic/generator_69.py

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+from random import Random
+from typing import Dict, Any
+
+def generate_from_variables(name: str, document: str, total_pages: int, fraction: str) -> Dict[str, Any]:
+    frac_num = eval(fraction)
+    pages_done = int(total_pages * frac_num)
+    pages_remaining = total_pages - pages_done
+
+    question = f"{name} is required to submit a {total_pages}-page {document}. She already finished writing {fraction} of the {document}. How many pages does she have left to write?"
+    
+    answer_cot = f"{name} has already written {fraction} of the {document} which is {total_pages} pages x {fraction} = {pages_done} pages.\nSo, she still needs to write {total_pages} pages - {pages_done} pages = {pages_remaining} pages.\n#### {pages_remaining}"
+
+    return {
+        'question': question,
+        'answer': str(pages_remaining),
+        'answer_cot': answer_cot,
+        'answer_value': pages_remaining,
+        'variables': {
+            'name': name,
+            'document': document,
+            'total_pages': total_pages,
+            'fraction': fraction,
+            'pages_done': pages_done,
+            'pages_remaining': pages_remaining
+        }
+    }
+
+def generate_example(rng: Random, difficulty: float = 1.0) -> Dict[str, Any]:
+    names_female = ["Emma", "Olivia", "Ava", "Isabella", "Sophia", "Mia", "Charlotte", "Amelia", "Harper", "Evelyn"]
+    documents = ["essay", "report", "thesis", "dissertation", "assignment"]
+    fractions = ["1/2", "1/3", "1/4", "2/3", "3/4"]
+
+    name = rng.choice(names_female)
+    document = rng.choice(documents)
+    fraction = rng.choice(fractions)
+    
+    # Generate total pages ensuring it's divisible by denominator
+    denominator = int(fraction.split('/')[1])
+    max_pages = int(325 * difficulty)
+    total_pages = denominator * rng.randint(1, max_pages // denominator)
+    
+    result = generate_from_variables(name, document, total_pages, fraction)
+    
+    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("Shiela", "research paper", 15, "1/3")