Minor fixes to the evaluation

Author: shubhamugare

syncode/evaluation/fol_eval.py

@@ -98,7 +98,7 @@ def run_eval(syncode, out_path: Optional[str]=None, debug_task_id=None):
         for task_id, problem in enumerate(problems):
             results[task_id] = []
             full_prompt = FOLEval._prompt_folio(problem)
-            completion = syncode.model.generate_batch_completion_grammar(
+            completion = syncode.model.generate_grammar_constrained_completion(
                 full_prompt, 
                 syncode.num_samples,
                 stop_words=['\n\n', '------']

syncode/evaluation/json_eval.py

@@ -70,7 +70,7 @@ def run_eval_for_task(syncode, num_samples_per_task, problem, samples, pbar, tas
 
         prompt = syncode.model.tokenizer.apply_chat_template(problem["prompt"], tokenize = False)
 
-        batch_completions = syncode.model.generate_batch_completion_grammar(prompt, num_samples_per_task)
+        batch_completions = syncode.model.generate_grammar_constrained_completion(prompt, num_samples_per_task)
         for completion_id, completion in enumerate(batch_completions):
             result = dict(
                     task_id = task_id, 

syncode/evaluation/math_eval.py

@@ -22,7 +22,7 @@ def run_math_eval(syncode, out_path: Optional[str], debug_task_id=None, logger=c
 
         for task_id, problem in enumerate(problems):
             results[task_id] = []
-            batch_completions = syncode.model.generate_batch_completion_grammar(
+            batch_completions = syncode.model.generate_grammar_constrained_completion(
                 problem['question'], 
                 syncode.num_samples
                 )

tests/test_language_model.py

@@ -55,7 +55,7 @@ def get_vocab(self) -> Dict[str, int]:
         return {v: i for i, v in enumerate(self.vocab)}
 
 class TestHuggingFaceModel(unittest.TestCase):
-    def test_generate_batch_completion_grammar(self):
+    def test_generate_grammar_constrained_completion(self):
         torch.manual_seed(0)
         model = TestModel()
         tokenizer = TestTokenizer()
@@ -65,7 +65,7 @@ def test_generate_batch_completion_grammar(self):
         output = lm.generate_grammar_constrained_completion(prompt, 1)
         self.assertEqual(len(output[0]), 15, "The output length does not match the expected value.")
 
-    def test_generate_batch_completion_grammar2(self):
+    def test_generate_grammar_constrained_completion2(self):
         torch.manual_seed(0)
         model = TestModel()
         tokenizer = TestTokenizer()