error when running NAS:minionn_cifar10.py

Unable to ray.init() on windows. This is the printout

C:\Users\16335\anaconda3\envs\delphi\python.exe C:\Users\16335\delphi\python\minionn\minionn_cifar10.py
2023-06-29 00:18:13,094 INFO resource_spec.py:212 -- Starting Ray with 4.05 GiB memory available for workers and up to 2.03 GiB for objects. You can adjust these settings with ray.init(memory=, object_store_memory=).
2023-06-29 00:18:13,402 INFO services.py:1165 -- View the Ray dashboard at localhost:8265
E0629 00:18:20.501169 23688 6524 raylet_client.cc:69] Retrying to connect to socket for pathname tcp://127.0.0.1:31180 (num_attempts = 1, num_retries = 10)
E0629 00:18:23.538391 23688 6524 raylet_client.cc:69] Retrying to connect to socket for pathname tcp://127.0.0.1:31180 (num_attempts = 2, num_retries = 10)
E0629 00:18:26.571873 23688 6524 raylet_client.cc:69] Retrying to connect to socket for pathname tcp://127.0.0.1:31180 (num_attempts = 3, num_retries = 10)
E0629 00:18:29.599208 23688 6524 raylet_client.cc:69] Retrying to connect to socket for pathname tcp://127.0.0.1:31180 (num_attempts = 4, num_retries = 10)
E0629 00:18:32.631668 23688 6524 raylet_client.cc:69] Retrying to connect to socket for pathname tcp://127.0.0.1:31180 (num_attempts = 5, num_retries = 10)
E0629 00:18:35.681198 23688 6524 raylet_client.cc:69] Retrying to connect to socket for pathname tcp://127.0.0.1:31180 (num_attempts = 6, num_retries = 10)
E0629 00:18:38.727272 23688 6524 raylet_client.cc:69] Retrying to connect to socket for pathname tcp://127.0.0.1:31180 (num_attempts = 7, num_retries = 10)
E0629 00:18:41.749498 23688 6524 raylet_client.cc:69] Retrying to connect to socket for pathname tcp://127.0.0.1:31180 (num_attempts = 8, num_retries = 10)
E0629 00:18:44.785377 23688 6524 raylet_client.cc:69] Retrying to connect to socket for pathname tcp://127.0.0.1:31180 (num_attempts = 9, num_retries = 10)
F0629 00:18:45.786785 23688 6524 raylet_client.cc:78] Could not connect to socket tcp://127.0.0.1:31180
*** Check failure stack trace: ***
@ 00007FFFC2D63A8C public: __cdecl google::LogMessage::~LogMessage(void) __ptr64
@ 00007FFFC2BD8954 public: virtual __cdecl google::NullStreamFatal::~NullStreamFatal(void) __ptr64
@ 00007FFFC2C1351B public: void __cdecl google::NullStreamFatal::vbase destructor'(void) __ptr64 @ 00007FFFC2C15B5E public: void __cdecl google::NullStreamFatal::vbase destructor'(void) __ptr64
@ 00007FFFC2B23B98 public: class google::LogMessageVoidify & __ptr64 __cdecl google::LogMessageVoidify::operator=(class google::LogMessageVoidify const & __ptr64) __ptr64
@ 00007FFFC2B21C00 public: class google::LogMessageVoidify & __ptr64 __cdecl google::LogMessageVoidify::operator=(class google::LogMessageVoidify const & __ptr64) __ptr64
@ 00007FFFC2B200ED public: class google::LogMessageVoidify & __ptr64 __cdecl google::LogMessageVoidify::operator=(class google::LogMessageVoidify const & __ptr64) __ptr64
@ 00007FFFC2B1F9C3 public: class google::LogMessageVoidify & __ptr64 __cdecl google::LogMessageVoidify::operator=(class google::LogMessageVoidify const & __ptr64) __ptr64
@ 00007FFFC2A9F179 public: virtual __cdecl google::LogSink::~LogSink(void) __ptr64
@ 00007FFFF48EE4E4 _PyType_Name
@ 00007FFFF4896702 _PyObject_FastCallKeywords
@ 00007FFFF4964646 PyEval_GetFuncDesc
@ 00007FFFF4961438 _PyEval_EvalFrameDefault
@ 00007FFFF4963285 _PyEval_EvalCodeWithName
@ 00007FFFF4896D8B _PyFunction_FastCallKeywords
@ 00007FFFF496463F PyEval_GetFuncDesc
@ 00007FFFF496148C _PyEval_EvalFrameDefault
@ 00007FFFF4963285 _PyEval_EvalCodeWithName
@ 00007FFFF4896D8B _PyFunction_FastCallKeywords
@ 00007FFFF496463F PyEval_GetFuncDesc
@ 00007FFFF496148C _PyEval_EvalFrameDefault
@ 00007FFFF4963285 _PyEval_EvalCodeWithName
@ 00007FFFF49BDF2D PyRun_FileExFlags
@ 00007FFFF49BDBA7 PyRun_FileExFlags
@ 00007FFFF49BBAFE PyRun_SimpleFileExFlags
@ 00007FFFF49BA763 PyRun_AnyFileExFlags
@ 00007FFFF4818B00 _PyCoreConfig_SetGlobalConfig
@ 00007FFFF481D08A _PyMainInterpreterConfig_Read
@ 00007FFFF481DCD2 _PyMainInterpreterConfig_Read
@ 00007FFFF481DED7 Py_Main
@ 00007FF6365814F8 OPENSSL_Applink
@ 00007FF8388055A0 BaseThreadInitThunk

and the port of tcp://127.0.0.1:31180 is a random number. the version are as follows:
python3.7
tensorflow1.15.0
ray[tune]0.8.6

-1073740791 (0xC0000409)

Start with python/minionn/minionn_cifar10.py and run the reported command on Windows, focusing on the ray.init() call and the raylet socket failure in the output. Compare the behavior with the listed Python, TensorFlow, and Ray versions. Done means the script can initialize Ray on Windows without the connection failure.