We are currently solving the following issue within our repository. Here is the issue text:
--- BEGIN ISSUE ---
Improve chainerx import check
#7518 has disabled the following:
1. Check out the source code and `import chainer` without pip install.
2. pip install chainer in non-editable mode (with/without chainerx) and import chainer from the source root directory.

\1. should be supported. In 2., we should give more comprehensible error.

--- 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 warnings
3 
4 from chainerx import _build_info
5 
6 
7 if _build_info.build_chainerx:
8     from chainerx import _core
9     _available = True
10 else:
11     _available = False
12 
13 
14 if _available:
15     from numpy import dtype  # NOQA
16     from numpy import (  # NOQA
17         Inf, Infinity, NAN, NINF, NZERO, NaN, PINF, PZERO,
18         e, euler_gamma,
19         inf, infty, nan,
20         newaxis,
21         pi)
22     from numpy import (
23         bool_, int8, int16, int32, int64, uint8, float16, float32, float64)  # NOQA
24     all_dtypes = (
25         bool_, int8, int16, int32, int64, uint8, float16, float32, float64)
26 
27     from chainerx._core import *  # NOQA
28     from chainerx._core import _to_cupy  # NOQA
29 
30     from builtins import bool, int, float  # NOQA
31 
32     from chainerx import _device  # NOQA
33 
34     from chainerx.creation.from_data import asanyarray  # NOQA
35     from chainerx.creation.from_data import fromfile  # NOQA
36     from chainerx.creation.from_data import fromfunction  # NOQA
37     from chainerx.creation.from_data import fromiter  # NOQA
38     from chainerx.creation.from_data import fromstring  # NOQA
39     from chainerx.creation.from_data import loadtxt  # NOQA
40 
41     from chainerx.manipulation.shape import ravel  # NOQA
42 
43     from chainerx.math.misc import clip  # NOQA
44 
45     from chainerx import random  # NOQA
46 
47     _global_context = _core.Context()
48     _core.set_global_default_context(_global_context)
49 
50     # Implements ndarray methods in Python
51     from chainerx import _ndarray
52     _ndarray.populate()
53 
54     # Temporary workaround implementations that fall back to NumPy/CuPy's
55     # respective functions.
56     from chainerx import _fallback_workarounds
57     _fallback_workarounds.populate()
58 
59     # Dynamically inject docstrings
60     from chainerx import _docs
61     _docs.set_docs()
62 
63     from chainerx import _cuda
64     # Share memory pool with CuPy.
65     if bool(int(os.getenv('CHAINERX_CUDA_CUPY_SHARE_ALLOCATOR', '0'))):
66         _cuda.cupy_share_allocator()
67 else:
68     class ndarray(object):
69 
70         """Dummy class for type testing."""
71 
72         def __init__(self, *args, **kwargs):
73             raise RuntimeError('chainerx is not available.')
74 
75 
76 def is_available():
77     return _available
78 
79 
80 if _available and _core._is_debug():
81     # Warn if the ChainerX core binary is built in debug mode
82     warnings.warn(
83         'ChainerX core binary is built in debug mode.', stacklevel=2)
84
```
--- 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/chainerx/__init__.py b/chainerx/__init__.py
--- a/chainerx/__init__.py
+++ b/chainerx/__init__.py
@@ -1,8 +1,22 @@
 import os
 import warnings
 
-from chainerx import _build_info
-
+try:
+    from chainerx import _build_info
+except ImportError:
+    raise ImportError(
+        '''\
+Cannot import chainerx because _build_info.py cannot be found.
+
+The chainer and chainerx module being imported was not correctly \
+installed by `pip install`.
+
+It may be caused by either of the following reasons.
+
+1. You are directly importing chainer source files without installing it with \
+`pip install`.
+2. You installed chainer in non-editable mode (`pip install` without -e) and \
+are importing chainer source files instead of the installed module.''')
 
 if _build_info.build_chainerx:
     from chainerx import _core

{"golden_diff": "diff --git a/chainerx/__init__.py b/chainerx/__init__.py\n--- a/chainerx/__init__.py\n+++ b/chainerx/__init__.py\n@@ -1,8 +1,22 @@\n import os\n import warnings\n \n-from chainerx import _build_info\n-\n+try:\n+    from chainerx import _build_info\n+except ImportError:\n+    raise ImportError(\n+        '''\\\n+Cannot import chainerx because _build_info.py cannot be found.\n+\n+The chainer and chainerx module being imported was not correctly \\\n+installed by `pip install`.\n+\n+It may be caused by either of the following reasons.\n+\n+1. You are directly importing chainer source files without installing it with \\\n+`pip install`.\n+2. You installed chainer in non-editable mode (`pip install` without -e) and \\\n+are importing chainer source files instead of the installed module.''')\n \n if _build_info.build_chainerx:\n     from chainerx import _core\n", "issue": "Improve chainerx import check\n#7518 has disabled the following:\r\n1. Check out the source code and `import chainer` without pip install.\r\n2. pip install chainer in non-editable mode (with/without chainerx) and import chainer from the source root directory.\r\n\r\n\\1. should be supported. In 2., we should give more comprehensible error.\n", "before_files": [{"content": "import os\nimport warnings\n\nfrom chainerx import _build_info\n\n\nif _build_info.build_chainerx:\n    from chainerx import _core\n    _available = True\nelse:\n    _available = False\n\n\nif _available:\n    from numpy import dtype  # NOQA\n    from numpy import (  # NOQA\n        Inf, Infinity, NAN, NINF, NZERO, NaN, PINF, PZERO,\n        e, euler_gamma,\n        inf, infty, nan,\n        newaxis,\n        pi)\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"}], "after_files": [{"content": "import os\nimport warnings\n\ntry:\n    from chainerx import _build_info\nexcept ImportError:\n    raise ImportError(\n        '''\\\nCannot import chainerx because _build_info.py cannot be found.\n\nThe chainer and chainerx module being imported was not correctly \\\ninstalled by `pip install`.\n\nIt may be caused by either of the following reasons.\n\n1. You are directly importing chainer source files without installing it with \\\n`pip install`.\n2. You installed chainer in non-editable mode (`pip install` without -e) and \\\nare importing chainer source files instead of the installed module.''')\n\nif _build_info.build_chainerx:\n    from chainerx import _core\n    _available = True\nelse:\n    _available = False\n\n\nif _available:\n    from numpy import dtype  # NOQA\n    from numpy import (  # NOQA\n        Inf, Infinity, NAN, NINF, NZERO, NaN, PINF, PZERO,\n        e, euler_gamma,\n        inf, infty, nan,\n        newaxis,\n        pi)\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"}]}