fix extra_match low if batch_size > 1 (#2595)

* fix extra_match low if batch_size > 1
Signed-off-by: Wang, Yi A <yi.a.wang@intel.com>

* add sorting to logprobs

* nit

---------
Signed-off-by: Wang, Yi A <yi.a.wang@intel.com>
Co-authored-by: Baber <baber@hey.com>

lm_eval/models/openai_completions.py

 import os
 from functools import cached_property
+from operator import itemgetter
 from typing import Any, Dict, List, Optional, Tuple, Union
 
 from lm_eval.api.registry import register_model
@@ -68,7 +69,9 @@ class LocalCompletionsAPI(TemplateAPI):
         if not isinstance(outputs, list):
             outputs = [outputs]
         for out in outputs:
-            for choice, ctxlen in zip(out["choices"], ctxlens):
+            for choice, ctxlen in zip(
+                sorted(out["choices"], key=itemgetter("index")), ctxlens
+            ):
                 assert ctxlen > 0, "Context length must be greater than 0"
                 logprobs = sum(choice["logprobs"]["token_logprobs"][ctxlen:-1])
                 tokens_logprobs = choice["logprobs"]["token_logprobs"][ctxlen:-1]
@@ -87,8 +90,10 @@ class LocalCompletionsAPI(TemplateAPI):
         if not isinstance(outputs, list):
             outputs = [outputs]
         for out in outputs:
+            tmp = [None] * len(out["choices"])
             for choices in out["choices"]:
-                res.append(choices["text"])
+                tmp[choices["index"]] = choices["text"]
+            res = res + tmp
         return res
 
     @property
@@ -157,8 +162,10 @@ class LocalChatCompletion(LocalCompletionsAPI):
         if not isinstance(outputs, list):
             outputs = [outputs]
         for out in outputs:
+            tmp = [None] * len(out["choices"])
             for choices in out["choices"]:
-                res.append(choices["message"]["content"])
+                tmp[choices["index"]] = choices["message"]["content"]
+            res = res + tmp
         return res
 
     def tok_encode(