We are currently solving the following issue within our repository. Here is the issue text:
--- BEGIN ISSUE ---
Error on using hvd.mpi_threads_supported()  error: undefined symbol: mpi_threads_supported
Error on using hvd.mpi_threads_supported() 

error: undefined symbol: mpi_threads_supported

`mpi_threads_supported = MPI_COMMON_LIB_CTYPES.mpi_threads_supported()`
 should be 
`mpi_threads_supported = MPI_COMMON_LIB_CTYPES.horovod_mpi_threads_supported()`


--- END ISSUE ---

Below are some code segments, each from a relevant file. One or more of these files may contain bugs.
--- BEGIN FILES ---
Path: `horovod/common/__init__.py`
Content:
```
1 # Copyright 2016 The TensorFlow Authors. All Rights Reserved.
2 # Modifications copyright (C) 2018 Uber Technologies, Inc.
3 #
4 # Licensed under the Apache License, Version 2.0 (the "License");
5 # you may not use this file except in compliance with the License.
6 # You may obtain a copy of the License at
7 #
8 #     http://www.apache.org/licenses/LICENSE-2.0
9 #
10 # Unless required by applicable law or agreed to in writing, software
11 # distributed under the License is distributed on an "AS IS" BASIS,
12 # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
13 # See the License for the specific language governing permissions and
14 # limitations under the License.
15 # =============================================================================
16 
17 import ctypes
18 import os
19 import sysconfig
20 
21 
22 def get_ext_suffix():
23     """Determine library extension for various versions of Python."""
24     ext_suffix = sysconfig.get_config_var('EXT_SUFFIX')
25     if ext_suffix:
26         return ext_suffix
27 
28     ext_suffix = sysconfig.get_config_var('SO')
29     if ext_suffix:
30         return ext_suffix
31 
32     return '.so'
33 
34 
35 MPI_COMMON_LIB_CTYPES = \
36     ctypes.CDLL(os.path.join(os.path.dirname(__file__),
37                              'mpi_lib' + get_ext_suffix()), mode=ctypes.RTLD_GLOBAL)
38 
39 
40 def init():
41     """A function that initializes Horovod.
42     """
43     return MPI_COMMON_LIB_CTYPES.horovod_init()
44 
45 
46 def size():
47     """A function that returns the number of Horovod processes.
48 
49     Returns:
50       An integer scalar containing the number of Horovod processes.
51     """
52     size = MPI_COMMON_LIB_CTYPES.horovod_size()
53     if size == -1:
54         raise ValueError(
55             'Horovod has not been initialized; use hvd.init().')
56     return size
57 
58 
59 def local_size():
60     """A function that returns the number of Horovod processes within the
61     node the current process is running on.
62 
63     Returns:
64       An integer scalar containing the number of local Horovod processes.
65     """
66     local_size = MPI_COMMON_LIB_CTYPES.horovod_local_size()
67     if local_size == -1:
68         raise ValueError(
69             'Horovod has not been initialized; use hvd.init().')
70     return local_size
71 
72 
73 def rank():
74     """A function that returns the Horovod rank of the calling process.
75 
76     Returns:
77       An integer scalar with the Horovod rank of the calling process.
78     """
79     rank = MPI_COMMON_LIB_CTYPES.horovod_rank()
80     if rank == -1:
81         raise ValueError(
82             'Horovod has not been initialized; use hvd.init().')
83     return rank
84 
85 
86 def local_rank():
87     """A function that returns the local Horovod rank of the calling process, within the
88     node that it is running on. For example, if there are seven processes running
89     on a node, their local ranks will be zero through six, inclusive.
90 
91     Returns:
92       An integer scalar with the local Horovod rank of the calling process.
93     """
94     local_rank = MPI_COMMON_LIB_CTYPES.horovod_local_rank()
95     if local_rank == -1:
96         raise ValueError(
97             'Horovod has not been initialized; use hvd.init().')
98     return local_rank
99 
100 
101 def mpi_threads_supported():
102     """A function that returns a flag indicating whether MPI multi-threading is supported.
103 
104     If MPI multi-threading is supported, users may mix and match Horovod usage with other
105     MPI libraries, such as `mpi4py`.
106 
107     Returns:
108       A boolean value indicating whether MPI multi-threading is supported.
109     """
110     mpi_threads_supported = MPI_COMMON_LIB_CTYPES.mpi_threads_supported()
111     if mpi_threads_supported == -1:
112         raise ValueError(
113             'Horovod has not been initialized; use hvd.init().')
114     return bool(mpi_threads_supported)
115
```
--- 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()

```

diff --git a/horovod/common/__init__.py b/horovod/common/__init__.py
--- a/horovod/common/__init__.py
+++ b/horovod/common/__init__.py
@@ -107,7 +107,7 @@
     Returns:
       A boolean value indicating whether MPI multi-threading is supported.
     """
-    mpi_threads_supported = MPI_COMMON_LIB_CTYPES.mpi_threads_supported()
+    mpi_threads_supported = MPI_COMMON_LIB_CTYPES.horovod_mpi_threads_supported()
     if mpi_threads_supported == -1:
         raise ValueError(
             'Horovod has not been initialized; use hvd.init().')

{"golden_diff": "diff --git a/horovod/common/__init__.py b/horovod/common/__init__.py\n--- a/horovod/common/__init__.py\n+++ b/horovod/common/__init__.py\n@@ -107,7 +107,7 @@\n     Returns:\n       A boolean value indicating whether MPI multi-threading is supported.\n     \"\"\"\n-    mpi_threads_supported = MPI_COMMON_LIB_CTYPES.mpi_threads_supported()\n+    mpi_threads_supported = MPI_COMMON_LIB_CTYPES.horovod_mpi_threads_supported()\n     if mpi_threads_supported == -1:\n         raise ValueError(\n             'Horovod has not been initialized; use hvd.init().')\n", "issue": "Error on using hvd.mpi_threads_supported()  error: undefined symbol: mpi_threads_supported\nError on using hvd.mpi_threads_supported() \r\n\r\nerror: undefined symbol: mpi_threads_supported\r\n\r\n`mpi_threads_supported = MPI_COMMON_LIB_CTYPES.mpi_threads_supported()`\r\n should be \r\n`mpi_threads_supported = MPI_COMMON_LIB_CTYPES.horovod_mpi_threads_supported()`\r\n\n", "before_files": [{"content": "# Copyright 2016 The TensorFlow Authors. All Rights Reserved.\n# Modifications copyright (C) 2018 Uber Technologies, Inc.\n#\n# Licensed under the Apache License, Version 2.0 (the \"License\");\n# you may not use this file except in compliance with the License.\n# You may obtain a copy of the License at\n#\n#     http://www.apache.org/licenses/LICENSE-2.0\n#\n# Unless required by applicable law or agreed to in writing, software\n# distributed under the License is distributed on an \"AS IS\" BASIS,\n# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n# See the License for the specific language governing permissions and\n# limitations under the License.\n# =============================================================================\n\nimport ctypes\nimport os\nimport sysconfig\n\n\ndef get_ext_suffix():\n    \"\"\"Determine library extension for various versions of Python.\"\"\"\n    ext_suffix = sysconfig.get_config_var('EXT_SUFFIX')\n    if ext_suffix:\n        return ext_suffix\n\n    ext_suffix = sysconfig.get_config_var('SO')\n    if ext_suffix:\n        return ext_suffix\n\n    return '.so'\n\n\nMPI_COMMON_LIB_CTYPES = \\\n    ctypes.CDLL(os.path.join(os.path.dirname(__file__),\n                             'mpi_lib' + get_ext_suffix()), mode=ctypes.RTLD_GLOBAL)\n\n\ndef init():\n    \"\"\"A function that initializes Horovod.\n    \"\"\"\n    return MPI_COMMON_LIB_CTYPES.horovod_init()\n\n\ndef size():\n    \"\"\"A function that returns the number of Horovod processes.\n\n    Returns:\n      An integer scalar containing the number of Horovod processes.\n    \"\"\"\n    size = MPI_COMMON_LIB_CTYPES.horovod_size()\n    if size == -1:\n        raise ValueError(\n            'Horovod has not been initialized; use hvd.init().')\n    return size\n\n\ndef local_size():\n    \"\"\"A function that returns the number of Horovod processes within the\n    node the current process is running on.\n\n    Returns:\n      An integer scalar containing the number of local Horovod processes.\n    \"\"\"\n    local_size = MPI_COMMON_LIB_CTYPES.horovod_local_size()\n    if local_size == -1:\n        raise ValueError(\n            'Horovod has not been initialized; use hvd.init().')\n    return local_size\n\n\ndef rank():\n    \"\"\"A function that returns the Horovod rank of the calling process.\n\n    Returns:\n      An integer scalar with the Horovod rank of the calling process.\n    \"\"\"\n    rank = MPI_COMMON_LIB_CTYPES.horovod_rank()\n    if rank == -1:\n        raise ValueError(\n            'Horovod has not been initialized; use hvd.init().')\n    return rank\n\n\ndef local_rank():\n    \"\"\"A function that returns the local Horovod rank of the calling process, within the\n    node that it is running on. For example, if there are seven processes running\n    on a node, their local ranks will be zero through six, inclusive.\n\n    Returns:\n      An integer scalar with the local Horovod rank of the calling process.\n    \"\"\"\n    local_rank = MPI_COMMON_LIB_CTYPES.horovod_local_rank()\n    if local_rank == -1:\n        raise ValueError(\n            'Horovod has not been initialized; use hvd.init().')\n    return local_rank\n\n\ndef mpi_threads_supported():\n    \"\"\"A function that returns a flag indicating whether MPI multi-threading is supported.\n\n    If MPI multi-threading is supported, users may mix and match Horovod usage with other\n    MPI libraries, such as `mpi4py`.\n\n    Returns:\n      A boolean value indicating whether MPI multi-threading is supported.\n    \"\"\"\n    mpi_threads_supported = MPI_COMMON_LIB_CTYPES.mpi_threads_supported()\n    if mpi_threads_supported == -1:\n        raise ValueError(\n            'Horovod has not been initialized; use hvd.init().')\n    return bool(mpi_threads_supported)\n", "path": "horovod/common/__init__.py"}], "after_files": [{"content": "# Copyright 2016 The TensorFlow Authors. All Rights Reserved.\n# Modifications copyright (C) 2018 Uber Technologies, Inc.\n#\n# Licensed under the Apache License, Version 2.0 (the \"License\");\n# you may not use this file except in compliance with the License.\n# You may obtain a copy of the License at\n#\n#     http://www.apache.org/licenses/LICENSE-2.0\n#\n# Unless required by applicable law or agreed to in writing, software\n# distributed under the License is distributed on an \"AS IS\" BASIS,\n# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n# See the License for the specific language governing permissions and\n# limitations under the License.\n# =============================================================================\n\nimport ctypes\nimport os\nimport sysconfig\n\n\ndef get_ext_suffix():\n    \"\"\"Determine library extension for various versions of Python.\"\"\"\n    ext_suffix = sysconfig.get_config_var('EXT_SUFFIX')\n    if ext_suffix:\n        return ext_suffix\n\n    ext_suffix = sysconfig.get_config_var('SO')\n    if ext_suffix:\n        return ext_suffix\n\n    return '.so'\n\n\nMPI_COMMON_LIB_CTYPES = \\\n    ctypes.CDLL(os.path.join(os.path.dirname(__file__),\n                             'mpi_lib' + get_ext_suffix()), mode=ctypes.RTLD_GLOBAL)\n\n\ndef init():\n    \"\"\"A function that initializes Horovod.\n    \"\"\"\n    return MPI_COMMON_LIB_CTYPES.horovod_init()\n\n\ndef size():\n    \"\"\"A function that returns the number of Horovod processes.\n\n    Returns:\n      An integer scalar containing the number of Horovod processes.\n    \"\"\"\n    size = MPI_COMMON_LIB_CTYPES.horovod_size()\n    if size == -1:\n        raise ValueError(\n            'Horovod has not been initialized; use hvd.init().')\n    return size\n\n\ndef local_size():\n    \"\"\"A function that returns the number of Horovod processes within the\n    node the current process is running on.\n\n    Returns:\n      An integer scalar containing the number of local Horovod processes.\n    \"\"\"\n    local_size = MPI_COMMON_LIB_CTYPES.horovod_local_size()\n    if local_size == -1:\n        raise ValueError(\n            'Horovod has not been initialized; use hvd.init().')\n    return local_size\n\n\ndef rank():\n    \"\"\"A function that returns the Horovod rank of the calling process.\n\n    Returns:\n      An integer scalar with the Horovod rank of the calling process.\n    \"\"\"\n    rank = MPI_COMMON_LIB_CTYPES.horovod_rank()\n    if rank == -1:\n        raise ValueError(\n            'Horovod has not been initialized; use hvd.init().')\n    return rank\n\n\ndef local_rank():\n    \"\"\"A function that returns the local Horovod rank of the calling process, within the\n    node that it is running on. For example, if there are seven processes running\n    on a node, their local ranks will be zero through six, inclusive.\n\n    Returns:\n      An integer scalar with the local Horovod rank of the calling process.\n    \"\"\"\n    local_rank = MPI_COMMON_LIB_CTYPES.horovod_local_rank()\n    if local_rank == -1:\n        raise ValueError(\n            'Horovod has not been initialized; use hvd.init().')\n    return local_rank\n\n\ndef mpi_threads_supported():\n    \"\"\"A function that returns a flag indicating whether MPI multi-threading is supported.\n\n    If MPI multi-threading is supported, users may mix and match Horovod usage with other\n    MPI libraries, such as `mpi4py`.\n\n    Returns:\n      A boolean value indicating whether MPI multi-threading is supported.\n    \"\"\"\n    mpi_threads_supported = MPI_COMMON_LIB_CTYPES.horovod_mpi_threads_supported()\n    if mpi_threads_supported == -1:\n        raise ValueError(\n            'Horovod has not been initialized; use hvd.init().')\n    return bool(mpi_threads_supported)\n", "path": "horovod/common/__init__.py"}]}