prompt: We are currently solving the following issue within our repository. Here is the issue text:
  --- BEGIN ISSUE ---
  Emit warning if compiled in Debug mode
  In debug mode ChainerX runs significantly slower.
  However sometimes it's difficult notice that.
  
  --- END ISSUE ---
  
  Below are some code segments, each from a relevant file. One or more of these files may contain bugs.
  --- BEGIN FILES ---
  Path: `chainerx/__init__.py`
  Content:
  ```
  1 import os
  2 import sys
  3 
  4 
  5 if sys.version_info[0] < 3:
  6     _available = False
  7 else:
  8     try:
  9         from chainerx import _core
  10         _available = True
  11     except Exception:
  12         _available = False
  13 
  14 
  15 if _available:
  16     from numpy import dtype  # NOQA
  17     from numpy import (
  18         bool_, int8, int16, int32, int64, uint8, float16, float32, float64)  # NOQA
  19     all_dtypes = (
  20         bool_, int8, int16, int32, int64, uint8, float16, float32, float64)
  21 
  22     from chainerx._core import *  # NOQA
  23     from chainerx._core import _to_cupy  # NOQA
  24 
  25     from builtins import bool, int, float  # NOQA
  26 
  27     from chainerx import _device  # NOQA
  28 
  29     from chainerx.creation.from_data import asanyarray  # NOQA
  30     from chainerx.creation.from_data import fromfile  # NOQA
  31     from chainerx.creation.from_data import fromfunction  # NOQA
  32     from chainerx.creation.from_data import fromiter  # NOQA
  33     from chainerx.creation.from_data import fromstring  # NOQA
  34     from chainerx.creation.from_data import loadtxt  # NOQA
  35 
  36     from chainerx.manipulation.shape import ravel  # NOQA
  37 
  38     from chainerx.math.misc import clip  # NOQA
  39 
  40     from chainerx import random  # NOQA
  41 
  42     _global_context = _core.Context()
  43     _core.set_global_default_context(_global_context)
  44 
  45     # Implements ndarray methods in Python
  46     from chainerx import _ndarray
  47     _ndarray.populate()
  48 
  49     # Temporary workaround implementations that fall back to NumPy/CuPy's
  50     # respective functions.
  51     from chainerx import _fallback_workarounds
  52     _fallback_workarounds.populate()
  53 
  54     # Dynamically inject docstrings
  55     from chainerx import _docs
  56     _docs.set_docs()
  57 
  58     from chainerx import _cuda
  59     # Share memory pool with CuPy.
  60     if bool(int(os.getenv('CHAINERX_CUDA_CUPY_SHARE_ALLOCATOR', '0'))):
  61         _cuda.cupy_share_allocator()
  62 else:
  63     class ndarray(object):
  64 
  65         """Dummy class for type testing."""
  66 
  67         def __init__(self, *args, **kwargs):
  68             raise RuntimeError('chainerx is not available.')
  69 
  70 
  71 def is_available():
  72     return _available
  73
  ```
  --- 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/chainerx/__init__.py b/chainerx/__init__.py
  --- a/chainerx/__init__.py
  +++ b/chainerx/__init__.py
  @@ -1,5 +1,6 @@
   import os
   import sys
  +import warnings
   
   
   if sys.version_info[0] < 3:
  @@ -70,3 +71,9 @@
   
   def is_available():
       return _available
  +
  +
  +if _available and _core._is_debug():
  +    # Warn if the ChainerX core binary is built in debug mode
  +    warnings.warn(
  +        'ChainerX core binary is built in debug mode.', stacklevel=2)
  
verification_info: {"golden_diff": "diff --git a/chainerx/__init__.py b/chainerx/__init__.py\n--- a/chainerx/__init__.py\n+++ b/chainerx/__init__.py\n@@ -1,5 +1,6 @@\n import os\n import sys\n+import warnings\n \n \n if sys.version_info[0] < 3:\n@@ -70,3 +71,9 @@\n \n def is_available():\n     return _available\n+\n+\n+if _available and _core._is_debug():\n+    # Warn if the ChainerX core binary is built in debug mode\n+    warnings.warn(\n+        'ChainerX core binary is built in debug mode.', stacklevel=2)\n", "issue": "Emit warning if compiled in Debug mode\nIn debug mode ChainerX runs significantly slower.\r\nHowever sometimes it's difficult notice that.\n", "before_files": [{"content": "import os\nimport sys\n\n\nif sys.version_info[0] < 3:\n    _available = False\nelse:\n    try:\n        from chainerx import _core\n        _available = True\n    except Exception:\n        _available = False\n\n\nif _available:\n    from numpy import dtype  # NOQA\n    from numpy import (\n        bool_, int8, int16, int32, int64, uint8, float16, float32, float64)  # NOQA\n    all_dtypes = (\n        bool_, int8, int16, int32, int64, uint8, float16, float32, float64)\n\n    from chainerx._core import *  # NOQA\n    from chainerx._core import _to_cupy  # NOQA\n\n    from builtins import bool, int, float  # NOQA\n\n    from chainerx import _device  # NOQA\n\n    from chainerx.creation.from_data import asanyarray  # NOQA\n    from chainerx.creation.from_data import fromfile  # NOQA\n    from chainerx.creation.from_data import fromfunction  # NOQA\n    from chainerx.creation.from_data import fromiter  # NOQA\n    from chainerx.creation.from_data import fromstring  # NOQA\n    from chainerx.creation.from_data import loadtxt  # NOQA\n\n    from chainerx.manipulation.shape import ravel  # NOQA\n\n    from chainerx.math.misc import clip  # NOQA\n\n    from chainerx import random  # NOQA\n\n    _global_context = _core.Context()\n    _core.set_global_default_context(_global_context)\n\n    # Implements ndarray methods in Python\n    from chainerx import _ndarray\n    _ndarray.populate()\n\n    # Temporary workaround implementations that fall back to NumPy/CuPy's\n    # respective functions.\n    from chainerx import _fallback_workarounds\n    _fallback_workarounds.populate()\n\n    # Dynamically inject docstrings\n    from chainerx import _docs\n    _docs.set_docs()\n\n    from chainerx import _cuda\n    # Share memory pool with CuPy.\n    if bool(int(os.getenv('CHAINERX_CUDA_CUPY_SHARE_ALLOCATOR', '0'))):\n        _cuda.cupy_share_allocator()\nelse:\n    class ndarray(object):\n\n        \"\"\"Dummy class for type testing.\"\"\"\n\n        def __init__(self, *args, **kwargs):\n            raise RuntimeError('chainerx is not available.')\n\n\ndef is_available():\n    return _available\n", "path": "chainerx/__init__.py"}], "after_files": [{"content": "import os\nimport sys\nimport warnings\n\n\nif sys.version_info[0] < 3:\n    _available = False\nelse:\n    try:\n        from chainerx import _core\n        _available = True\n    except Exception:\n        _available = False\n\n\nif _available:\n    from numpy import dtype  # NOQA\n    from numpy import (\n        bool_, int8, int16, int32, int64, uint8, float16, float32, float64)  # NOQA\n    all_dtypes = (\n        bool_, int8, int16, int32, int64, uint8, float16, float32, float64)\n\n    from chainerx._core import *  # NOQA\n    from chainerx._core import _to_cupy  # NOQA\n\n    from builtins import bool, int, float  # NOQA\n\n    from chainerx import _device  # NOQA\n\n    from chainerx.creation.from_data import asanyarray  # NOQA\n    from chainerx.creation.from_data import fromfile  # NOQA\n    from chainerx.creation.from_data import fromfunction  # NOQA\n    from chainerx.creation.from_data import fromiter  # NOQA\n    from chainerx.creation.from_data import fromstring  # NOQA\n    from chainerx.creation.from_data import loadtxt  # NOQA\n\n    from chainerx.manipulation.shape import ravel  # NOQA\n\n    from chainerx.math.misc import clip  # NOQA\n\n    from chainerx import random  # NOQA\n\n    _global_context = _core.Context()\n    _core.set_global_default_context(_global_context)\n\n    # Implements ndarray methods in Python\n    from chainerx import _ndarray\n    _ndarray.populate()\n\n    # Temporary workaround implementations that fall back to NumPy/CuPy's\n    # respective functions.\n    from chainerx import _fallback_workarounds\n    _fallback_workarounds.populate()\n\n    # Dynamically inject docstrings\n    from chainerx import _docs\n    _docs.set_docs()\n\n    from chainerx import _cuda\n    # Share memory pool with CuPy.\n    if bool(int(os.getenv('CHAINERX_CUDA_CUPY_SHARE_ALLOCATOR', '0'))):\n        _cuda.cupy_share_allocator()\nelse:\n    class ndarray(object):\n\n        \"\"\"Dummy class for type testing.\"\"\"\n\n        def __init__(self, *args, **kwargs):\n            raise RuntimeError('chainerx is not available.')\n\n\ndef is_available():\n    return _available\n\n\nif _available and _core._is_debug():\n    # Warn if the ChainerX core binary is built in debug mode\n    warnings.warn(\n        'ChainerX core binary is built in debug mode.', stacklevel=2)\n", "path": "chainerx/__init__.py"}]}