use DeepSeek V3 instead of R1 for benchmarking

ktransformers/tests/score.py

 import subprocess
 import time
+import requests
+import sys
+import os
+
+def wait_for_server(base_url: str, timeout: int = None) -> None:
+    start_time = time.time()
+    while True:
+        try:
+            response = requests.get(
+                f"{base_url}/v1/models",
+                headers={"Authorization": "Bearer None"},
+            )
+            if response.status_code == 200:
+                print("Server is ready.")
+                break
+        except requests.exceptions.RequestException:
+            time.sleep(1)
+            if timeout and time.time() - start_time > timeout:
+                raise TimeoutError("Server did not become ready within timeout period")
 
 server_cmd = [
+    "numactl", "-N", "1", "-m", "1",
     "/home/qujing3/anaconda3/envs/ktransformers-dev/bin/ktransformers",
     "--model_path", "/home/qujing3/models/DeepSeek-R1-Q4_K_M/config",
-    "--gguf_path", "/home/qujing3/models/DeepSeek-R1-Q4_K_M/",
+    "--gguf_path", "/home/qujing3/models/DeepSeek-V3-GGUF/DeepSeek-V3-Q4_K_M",
     "--port", "10002",
-    "--cpu-infer", "48"
+    "--cpu_infer", "64"
 ]
 
 print("Starting ktransformers server...")
-server_process = subprocess.Popen(server_cmd, stdout=subprocess.PIPE, stderr=subprocess.PIPE, text=True)
-
-while True:
-    output = server_process.stdout.readline()
-    if not output:
-        break
-    print(output.strip())
-    if "Uvicorn running on http://0.0.0.0:10002" in output:
-        print("Server started successfully!")
-        break
-
-eval_cmd = ["python", "ktransformers/tests/humaneval/eval_api.py"]
-print("Running eval_api.py...")
-eval_process = subprocess.run(eval_cmd, capture_output=True, text=True)
-
-print("Stopping ktransformers server...")
-server_process.terminate()
-server_process.wait()
-
-evaluate_cmd = [
-    "evaluate_functional_correctness",
-    "ktransformers/tests/humaneval/results/api/eval_b.jsonl"
-]
-print("Running evaluate_functional_correctness...")
-evaluate_process = subprocess.run(evaluate_cmd, capture_output=True, text=True)
+print(" ".join(server_cmd))
+with open("/tmp/server_log.txt", "w") as f:
+    server_process = subprocess.Popen(server_cmd, stdout=f, stderr=f, text=True)
+
+try:
+    wait_for_server("http://localhost:10002", timeout=300)
+
+    eval_cmd = ["python", "ktransformers/tests/humaneval/eval_api.py"]
+    print("Running eval_api.py...")
+    print(f"Command: {' '.join(eval_cmd)}")
+    
+    env = os.environ.copy()
+    env["PYTHONUNBUFFERED"] = "1"
+    
+    eval_process = subprocess.Popen(
+        eval_cmd,
+        stdout=subprocess.PIPE,
+        stderr=subprocess.PIPE,
+        text=True,
+        bufsize=1,
+        env=env,
+        universal_newlines=True
+    )
+    
+    import threading
+    import queue
+    
+    def enqueue_output(out, queue):
+        for line in iter(out.readline, ''):
+            queue.put(line)
+        out.close()
+    
+    stdout_queue = queue.Queue()
+    stderr_queue = queue.Queue()
+    
+    stdout_thread = threading.Thread(target=enqueue_output, args=(eval_process.stdout, stdout_queue))
+    stderr_thread = threading.Thread(target=enqueue_output, args=(eval_process.stderr, stderr_queue))
+    
+    stdout_thread.daemon = True
+    stderr_thread.daemon = True
+    stdout_thread.start()
+    stderr_thread.start()
+    
+    while eval_process.poll() is None:
+        try:
+            line = stdout_queue.get_nowait()
+            print(line, end='', flush=True)
+        except queue.Empty:
+            pass
+            
+        try:
+            line = stderr_queue.get_nowait()
+            print(line, end='', file=sys.stderr, flush=True)
+        except queue.Empty:
+            pass
+        
+        time.sleep(1)
+
+    while not stdout_queue.empty():
+        print(stdout_queue.get(), end='', flush=True)
+    while not stderr_queue.empty():
+        print(stderr_queue.get(), end='', file=sys.stderr, flush=True)
+        
+    eval_process.wait()
+    print(f"eval_api.py completed with exit code: {eval_process.returncode}")
+
+    evaluate_cmd = [
+        "evaluate_functional_correctness",
+        "ktransformers/tests/humaneval/results/api/eval_b.jsonl"
+    ]
+    print("Running evaluate_functional_correctness...")
+    print(f"Command: {' '.join(evaluate_cmd)}")
+    
+    evaluate_process = subprocess.Popen(
+        evaluate_cmd,
+        stdout=subprocess.PIPE,
+        stderr=subprocess.PIPE,
+        text=True,
+        bufsize=1,
+        universal_newlines=True
+    )
+    
+    for line in evaluate_process.stdout:
+        print(line, end='', flush=True)
+    for line in evaluate_process.stderr:
+        print(line, end='', file=sys.stderr, flush=True)
+        
+    evaluate_process.wait()
+    
+    print(f"evaluate_functional_correctness completed with exit code: {evaluate_process.returncode}")
+    if evaluate_process.returncode != 0:
+        print(f"evaluate_functional_correctness exited with code {evaluate_process.returncode}")
+        sys.exit(evaluate_process.returncode)
 
-print("Evaluation Output:")
-print(evaluate_process.stdout)
-print(evaluate_process.stderr)
+finally:
+    print("Stopping ktransformers server...")
+    server_process.terminate()
+    try:
+        server_process.wait(timeout=30)
+    except subprocess.TimeoutExpired:
+        print("Server did not terminate gracefully, forcing...")
+        server_process.kill()
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