prompt: We are currently solving the following issue within our repository. Here is the issue text:
  --- BEGIN ISSUE ---
  [modin] Importing Modin before Ray can sometimes cause ImportError
  
  ### Describe the problem
  <!-- Describe the problem clearly here. -->
  When running Modin with Ray installed from source, I am sometimes running into `ImportError` and `ModuleNotFoundError` which is occurring when I am running a modified version of Modin. This forces me to modify Ray's source such that it does not try to use the Modin that is bundled with Ray.
  
  I will work on a solution for this.
  
  ### Source code / logs
  
  `import modin.pandas as pd`
  ```
  Traceback (most recent call last):
    File "/home/ubuntu/ray/python/ray/function_manager.py", line 165, in fetch_and_register_remote_function
      function = pickle.loads(serialized_function)
  ModuleNotFoundError: No module named 'modin.data_management.utils'
  ```
  
  --- END ISSUE ---
  
  Below are some code segments, each from a relevant file. One or more of these files may contain bugs.
  --- BEGIN FILES ---
  Path: `python/ray/__init__.py`
  Content:
  ```
  1 from __future__ import absolute_import
  2 from __future__ import division
  3 from __future__ import print_function
  4 
  5 import os
  6 import sys
  7 
  8 if "pyarrow" in sys.modules:
  9     raise ImportError("Ray must be imported before pyarrow because Ray "
  10                       "requires a specific version of pyarrow (which is "
  11                       "packaged along with Ray).")
  12 
  13 # Add the directory containing pyarrow to the Python path so that we find the
  14 # pyarrow version packaged with ray and not a pre-existing pyarrow.
  15 pyarrow_path = os.path.join(
  16     os.path.abspath(os.path.dirname(__file__)), "pyarrow_files")
  17 sys.path.insert(0, pyarrow_path)
  18 
  19 # See https://github.com/ray-project/ray/issues/131.
  20 helpful_message = """
  21 
  22 If you are using Anaconda, try fixing this problem by running:
  23 
  24     conda install libgcc
  25 """
  26 
  27 try:
  28     import pyarrow  # noqa: F401
  29 except ImportError as e:
  30     if ((hasattr(e, "msg") and isinstance(e.msg, str)
  31          and ("libstdc++" in e.msg or "CXX" in e.msg))):
  32         # This code path should be taken with Python 3.
  33         e.msg += helpful_message
  34     elif (hasattr(e, "message") and isinstance(e.message, str)
  35           and ("libstdc++" in e.message or "CXX" in e.message)):
  36         # This code path should be taken with Python 2.
  37         condition = (hasattr(e, "args") and isinstance(e.args, tuple)
  38                      and len(e.args) == 1 and isinstance(e.args[0], str))
  39         if condition:
  40             e.args = (e.args[0] + helpful_message, )
  41         else:
  42             if not hasattr(e, "args"):
  43                 e.args = ()
  44             elif not isinstance(e.args, tuple):
  45                 e.args = (e.args, )
  46             e.args += (helpful_message, )
  47     raise
  48 
  49 modin_path = os.path.join(os.path.abspath(os.path.dirname(__file__)), "modin")
  50 sys.path.insert(0, modin_path)
  51 
  52 from ray.raylet import ObjectID, _config  # noqa: E402
  53 from ray.profiling import profile  # noqa: E402
  54 from ray.worker import (error_info, init, connect, disconnect, get, put, wait,
  55                         remote, get_gpu_ids, get_resource_ids, get_webui_url,
  56                         register_custom_serializer, shutdown,
  57                         is_initialized)  # noqa: E402
  58 from ray.worker import (SCRIPT_MODE, WORKER_MODE, LOCAL_MODE,
  59                         PYTHON_MODE)  # noqa: E402
  60 from ray.worker import global_state  # noqa: E402
  61 import ray.internal  # noqa: E402
  62 # We import ray.actor because some code is run in actor.py which initializes
  63 # some functions in the worker.
  64 import ray.actor  # noqa: F401
  65 from ray.actor import method  # noqa: E402
  66 
  67 # Ray version string.
  68 __version__ = "0.6.0"
  69 
  70 __all__ = [
  71     "error_info", "init", "connect", "disconnect", "get", "put", "wait",
  72     "remote", "profile", "actor", "method", "get_gpu_ids", "get_resource_ids",
  73     "get_webui_url", "register_custom_serializer", "shutdown",
  74     "is_initialized", "SCRIPT_MODE", "WORKER_MODE", "LOCAL_MODE",
  75     "PYTHON_MODE", "global_state", "ObjectID", "_config", "__version__",
  76     "internal"
  77 ]
  78 
  79 import ctypes  # noqa: E402
  80 # Windows only
  81 if hasattr(ctypes, "windll"):
  82     # Makes sure that all child processes die when we die. Also makes sure that
  83     # fatal crashes result in process termination rather than an error dialog
  84     # (the latter is annoying since we have a lot of processes). This is done
  85     # by associating all child processes with a "job" object that imposes this
  86     # behavior.
  87     (lambda kernel32: (lambda job: (lambda n: kernel32.SetInformationJobObject(job, 9, "\0" * 17 + chr(0x8 | 0x4 | 0x20) + "\0" * (n - 18), n))(0x90 if ctypes.sizeof(ctypes.c_void_p) > ctypes.sizeof(ctypes.c_int) else 0x70) and kernel32.AssignProcessToJobObject(job, ctypes.c_void_p(kernel32.GetCurrentProcess())))(ctypes.c_void_p(kernel32.CreateJobObjectW(None, None))) if kernel32 is not None else None)(ctypes.windll.kernel32)  # noqa: E501
  88
  ```
  --- END FILES ---
  
  Please first localize the bug based on the issue statement, and then generate a patch according to the `git diff` format fenced by three backticks.
  
  Here is an example:
  
  ```diff
  diff --git a/examples/server_async.py b/examples/server_async.py
  --- a/examples/server_async.py
  +++ b/examples/server_async.py
  @@ -313,4 +313,4 @@
   
   
   if __name__ == "__main__":
  -    asyncio.run(run_async_server("."), debug=True)
  +    asyncio.run(run_async_server(), debug=True)
  diff --git a/examples/server_sync.py b/examples/server_sync.py
  --- a/examples/server_sync.py
  +++ b/examples/server_sync.py
  @@ -313,5 +313,5 @@
   
   
   if __name__ == "__main__":
  -    server = run_sync_server(".")
  +    server = run_sync_server()
       server.shutdown()
  
  ```
  
golden_diff: diff --git a/python/ray/__init__.py b/python/ray/__init__.py
  --- a/python/ray/__init__.py
  +++ b/python/ray/__init__.py
  @@ -47,7 +47,7 @@
       raise
   
   modin_path = os.path.join(os.path.abspath(os.path.dirname(__file__)), "modin")
  -sys.path.insert(0, modin_path)
  +sys.path.append(modin_path)
   
   from ray.raylet import ObjectID, _config  # noqa: E402
   from ray.profiling import profile  # noqa: E402
  
verification_info: {"golden_diff": "diff --git a/python/ray/__init__.py b/python/ray/__init__.py\n--- a/python/ray/__init__.py\n+++ b/python/ray/__init__.py\n@@ -47,7 +47,7 @@\n     raise\n \n modin_path = os.path.join(os.path.abspath(os.path.dirname(__file__)), \"modin\")\n-sys.path.insert(0, modin_path)\n+sys.path.append(modin_path)\n \n from ray.raylet import ObjectID, _config  # noqa: E402\n from ray.profiling import profile  # noqa: E402\n", "issue": "[modin] Importing Modin before Ray can sometimes cause ImportError\n\r\n### Describe the problem\r\n<!-- Describe the problem clearly here. -->\r\nWhen running Modin with Ray installed from source, I am sometimes running into `ImportError` and `ModuleNotFoundError` which is occurring when I am running a modified version of Modin. This forces me to modify Ray's source such that it does not try to use the Modin that is bundled with Ray.\r\n\r\nI will work on a solution for this.\r\n\r\n### Source code / logs\r\n\r\n`import modin.pandas as pd`\r\n```\r\nTraceback (most recent call last):\r\n  File \"/home/ubuntu/ray/python/ray/function_manager.py\", line 165, in fetch_and_register_remote_function\r\n    function = pickle.loads(serialized_function)\r\nModuleNotFoundError: No module named 'modin.data_management.utils'\r\n```\n", "before_files": [{"content": "from __future__ import absolute_import\nfrom __future__ import division\nfrom __future__ import print_function\n\nimport os\nimport sys\n\nif \"pyarrow\" in sys.modules:\n    raise ImportError(\"Ray must be imported before pyarrow because Ray \"\n                      \"requires a specific version of pyarrow (which is \"\n                      \"packaged along with Ray).\")\n\n# Add the directory containing pyarrow to the Python path so that we find the\n# pyarrow version packaged with ray and not a pre-existing pyarrow.\npyarrow_path = os.path.join(\n    os.path.abspath(os.path.dirname(__file__)), \"pyarrow_files\")\nsys.path.insert(0, pyarrow_path)\n\n# See https://github.com/ray-project/ray/issues/131.\nhelpful_message = \"\"\"\n\nIf you are using Anaconda, try fixing this problem by running:\n\n    conda install libgcc\n\"\"\"\n\ntry:\n    import pyarrow  # noqa: F401\nexcept ImportError as e:\n    if ((hasattr(e, \"msg\") and isinstance(e.msg, str)\n         and (\"libstdc++\" in e.msg or \"CXX\" in e.msg))):\n        # This code path should be taken with Python 3.\n        e.msg += helpful_message\n    elif (hasattr(e, \"message\") and isinstance(e.message, str)\n          and (\"libstdc++\" in e.message or \"CXX\" in e.message)):\n        # This code path should be taken with Python 2.\n        condition = (hasattr(e, \"args\") and isinstance(e.args, tuple)\n                     and len(e.args) == 1 and isinstance(e.args[0], str))\n        if condition:\n            e.args = (e.args[0] + helpful_message, )\n        else:\n            if not hasattr(e, \"args\"):\n                e.args = ()\n            elif not isinstance(e.args, tuple):\n                e.args = (e.args, )\n            e.args += (helpful_message, )\n    raise\n\nmodin_path = os.path.join(os.path.abspath(os.path.dirname(__file__)), \"modin\")\nsys.path.insert(0, modin_path)\n\nfrom ray.raylet import ObjectID, _config  # noqa: E402\nfrom ray.profiling import profile  # noqa: E402\nfrom ray.worker import (error_info, init, connect, disconnect, get, put, wait,\n                        remote, get_gpu_ids, get_resource_ids, get_webui_url,\n                        register_custom_serializer, shutdown,\n                        is_initialized)  # noqa: E402\nfrom ray.worker import (SCRIPT_MODE, WORKER_MODE, LOCAL_MODE,\n                        PYTHON_MODE)  # noqa: E402\nfrom ray.worker import global_state  # noqa: E402\nimport ray.internal  # noqa: E402\n# We import ray.actor because some code is run in actor.py which initializes\n# some functions in the worker.\nimport ray.actor  # noqa: F401\nfrom ray.actor import method  # noqa: E402\n\n# Ray version string.\n__version__ = \"0.6.0\"\n\n__all__ = [\n    \"error_info\", \"init\", \"connect\", \"disconnect\", \"get\", \"put\", \"wait\",\n    \"remote\", \"profile\", \"actor\", \"method\", \"get_gpu_ids\", \"get_resource_ids\",\n    \"get_webui_url\", \"register_custom_serializer\", \"shutdown\",\n    \"is_initialized\", \"SCRIPT_MODE\", \"WORKER_MODE\", \"LOCAL_MODE\",\n    \"PYTHON_MODE\", \"global_state\", \"ObjectID\", \"_config\", \"__version__\",\n    \"internal\"\n]\n\nimport ctypes  # noqa: E402\n# Windows only\nif hasattr(ctypes, \"windll\"):\n    # Makes sure that all child processes die when we die. Also makes sure that\n    # fatal crashes result in process termination rather than an error dialog\n    # (the latter is annoying since we have a lot of processes). This is done\n    # by associating all child processes with a \"job\" object that imposes this\n    # behavior.\n    (lambda kernel32: (lambda job: (lambda n: kernel32.SetInformationJobObject(job, 9, \"\\0\" * 17 + chr(0x8 | 0x4 | 0x20) + \"\\0\" * (n - 18), n))(0x90 if ctypes.sizeof(ctypes.c_void_p) > ctypes.sizeof(ctypes.c_int) else 0x70) and kernel32.AssignProcessToJobObject(job, ctypes.c_void_p(kernel32.GetCurrentProcess())))(ctypes.c_void_p(kernel32.CreateJobObjectW(None, None))) if kernel32 is not None else None)(ctypes.windll.kernel32)  # noqa: E501\n", "path": "python/ray/__init__.py"}], "after_files": [{"content": "from __future__ import absolute_import\nfrom __future__ import division\nfrom __future__ import print_function\n\nimport os\nimport sys\n\nif \"pyarrow\" in sys.modules:\n    raise ImportError(\"Ray must be imported before pyarrow because Ray \"\n                      \"requires a specific version of pyarrow (which is \"\n                      \"packaged along with Ray).\")\n\n# Add the directory containing pyarrow to the Python path so that we find the\n# pyarrow version packaged with ray and not a pre-existing pyarrow.\npyarrow_path = os.path.join(\n    os.path.abspath(os.path.dirname(__file__)), \"pyarrow_files\")\nsys.path.insert(0, pyarrow_path)\n\n# See https://github.com/ray-project/ray/issues/131.\nhelpful_message = \"\"\"\n\nIf you are using Anaconda, try fixing this problem by running:\n\n    conda install libgcc\n\"\"\"\n\ntry:\n    import pyarrow  # noqa: F401\nexcept ImportError as e:\n    if ((hasattr(e, \"msg\") and isinstance(e.msg, str)\n         and (\"libstdc++\" in e.msg or \"CXX\" in e.msg))):\n        # This code path should be taken with Python 3.\n        e.msg += helpful_message\n    elif (hasattr(e, \"message\") and isinstance(e.message, str)\n          and (\"libstdc++\" in e.message or \"CXX\" in e.message)):\n        # This code path should be taken with Python 2.\n        condition = (hasattr(e, \"args\") and isinstance(e.args, tuple)\n                     and len(e.args) == 1 and isinstance(e.args[0], str))\n        if condition:\n            e.args = (e.args[0] + helpful_message, )\n        else:\n            if not hasattr(e, \"args\"):\n                e.args = ()\n            elif not isinstance(e.args, tuple):\n                e.args = (e.args, )\n            e.args += (helpful_message, )\n    raise\n\nmodin_path = os.path.join(os.path.abspath(os.path.dirname(__file__)), \"modin\")\nsys.path.append(modin_path)\n\nfrom ray.raylet import ObjectID, _config  # noqa: E402\nfrom ray.profiling import profile  # noqa: E402\nfrom ray.worker import (error_info, init, connect, disconnect, get, put, wait,\n                        remote, get_gpu_ids, get_resource_ids, get_webui_url,\n                        register_custom_serializer, shutdown,\n                        is_initialized)  # noqa: E402\nfrom ray.worker import (SCRIPT_MODE, WORKER_MODE, LOCAL_MODE,\n                        PYTHON_MODE)  # noqa: E402\nfrom ray.worker import global_state  # noqa: E402\nimport ray.internal  # noqa: E402\n# We import ray.actor because some code is run in actor.py which initializes\n# some functions in the worker.\nimport ray.actor  # noqa: F401\nfrom ray.actor import method  # noqa: E402\n\n# Ray version string.\n__version__ = \"0.6.0\"\n\n__all__ = [\n    \"error_info\", \"init\", \"connect\", \"disconnect\", \"get\", \"put\", \"wait\",\n    \"remote\", \"profile\", \"actor\", \"method\", \"get_gpu_ids\", \"get_resource_ids\",\n    \"get_webui_url\", \"register_custom_serializer\", \"shutdown\",\n    \"is_initialized\", \"SCRIPT_MODE\", \"WORKER_MODE\", \"LOCAL_MODE\",\n    \"PYTHON_MODE\", \"global_state\", \"ObjectID\", \"_config\", \"__version__\",\n    \"internal\"\n]\n\nimport ctypes  # noqa: E402\n# Windows only\nif hasattr(ctypes, \"windll\"):\n    # Makes sure that all child processes die when we die. Also makes sure that\n    # fatal crashes result in process termination rather than an error dialog\n    # (the latter is annoying since we have a lot of processes). This is done\n    # by associating all child processes with a \"job\" object that imposes this\n    # behavior.\n    (lambda kernel32: (lambda job: (lambda n: kernel32.SetInformationJobObject(job, 9, \"\\0\" * 17 + chr(0x8 | 0x4 | 0x20) + \"\\0\" * (n - 18), n))(0x90 if ctypes.sizeof(ctypes.c_void_p) > ctypes.sizeof(ctypes.c_int) else 0x70) and kernel32.AssignProcessToJobObject(job, ctypes.c_void_p(kernel32.GetCurrentProcess())))(ctypes.c_void_p(kernel32.CreateJobObjectW(None, None))) if kernel32 is not None else None)(ctypes.windll.kernel32)  # noqa: E501\n", "path": "python/ray/__init__.py"}]}