Split cases (#3297)

* add repitation early stop cases

* add repitation early stop cases

* split repetition_early_stop from the base test

test/ce/server/test_base_chat.py

@@ -9,14 +9,7 @@ some basic check for fd web api
 
 import json
 
-from core import (
-    TEMPLATE,
-    URL,
-    build_request_payload,
-    get_probs_list,
-    get_token_list,
-    send_request,
-)
+from core import TEMPLATE, URL, build_request_payload, get_token_list, send_request
 
 
 def test_stream_response():
@@ -278,50 +271,3 @@ def test_bad_words_filtering1():
     assert word in token_list, f"'{word}' 应出现在生成结果中"
 
     print("test_bad_words_filtering1 正例验证通过")
-
-
-def test_repetition_early_stop():
-    """
-    用于验证 repetition early stop 功能是否生效：
-    设置 window_size=6，threshold=0.93，输入内容设计成易重复，观察模型是否提前截断输出。
-    threshold = 0.93
-    window_size = 6 这个必须是启动模型的时候加上这个参数 负责不能用！！！！
-    """
-
-    data = {
-        "stream": False,
-        "messages": [
-            {"role": "user", "content": "输出'我爱吃果冻' 10次"},
-        ],
-        "max_tokens": 10000,
-        "temperature": 0.8,
-        "top_p": 0,
-    }
-
-    payload = build_request_payload(TEMPLATE, data)
-    response = send_request(URL, payload).json()
-    content = response["choices"][0]["message"]["content"]
-
-    print("🧪 repetition early stop 输出内容:\n", content)
-    probs_list = get_probs_list(response)
-
-    threshold = 0.93
-    window_size = 6
-
-    assert len(probs_list) >= window_size, "列表长度不足 window_size"
-
-    # 条件 1：末尾 6 个都 > threshold
-    tail = probs_list[-window_size:]
-    assert all(v > threshold for v in tail), "末尾 window_size 个数不全大于阈值"
-
-    # 条件 2：前面不能有连续 >=6 个值 > threshold
-    head = probs_list[:-window_size]
-    count = 0
-    for v in head:
-        if v > threshold:
-            count += 1
-            assert count < window_size, f"在末尾之前出现了连续 {count} 个大于阈值的数"
-        else:
-            count = 0
-
-    print("repetition early stop 功能验证通过")