We are currently solving the following issue within our repository. Here is the issue text:
--- BEGIN ISSUE ---
Typo in `identifier.py`
https://github.com/scikit-hep/awkward-1.0/blob/a0ec3bcacacc81a47fe61a1d99b0bc512a8bb3cf/src/awkward/_v2/identifier.py#L30

--- END ISSUE ---

Below are some code segments, each from a relevant file. One or more of these files may contain bugs.
--- BEGIN FILES ---
Path: `src/awkward/_v2/identifier.py`
Content:
```
1 # BSD 3-Clause License; see https://github.com/scikit-hep/awkward-1.0/blob/main/LICENSE
2 
3 from __future__ import absolute_import
4 
5 import awkward as ak
6 
7 np = ak.nplike.NumpyMetadata.instance()
8 
9 
10 class Identifier(object):
11     _numrefs = 0
12 
13     @staticmethod
14     def newref():
15         out = Identifier._numrefs
16         Identifier._numrefs += 1
17         return out
18 
19     def __init__(self, ref, fieldloc, data):
20         self._ref = ref
21         self._fieldloc = fieldloc
22         if not isinstance(fieldloc, dict) or not all(
23             isinstance(k, int) and isinstance(v, str) for k, v in fieldloc.items()
24         ):
25             raise TypeError("Identifier fieldloc must be a dict of int -> str")
26         self._nplike = ak.nplike.of(data)
27 
28         self._data = self._nplike.asarray(data, order="C")
29         if len(self._data.shape) != 2:
30             raise TypeError("Identifer data must be 2-dimensional")
31 
32         # TypeError for unsupported types?
33         self._T = self._data.dtype
34         if self._T not in (np.dtype(np.int32), np.dtype(np.int64)):
35             raise TypeError("Identifier data must be int32, int64")
36 
37     @classmethod
38     # cpp takes width, length?
39     def zeros(cls, ref, fieldloc, length, width, nplike, dtype):
40         return Identifier(ref, fieldloc, nplike.zeros((length, width), dtype=dtype))
41 
42     @classmethod
43     def empty(cls, ref, fieldloc, length, width, nplike, dtype):
44         return Identifier(ref, fieldloc, nplike.empty((length, width), dtype=dtype))
45 
46     @property
47     def ref(self):
48         return self._ref
49 
50     @property
51     def filedloc(self):
52         return self._fieldloc
53 
54     @property
55     def data(self):
56         return self._data
57 
58     @property
59     def nplike(self):
60         return self._nplike
61 
62     def __len__(self):
63         return len(self._data)
64 
65     def width(self):
66         return self._data.shape[1]
67 
68     def to64(self):
69         return Identifier(self._ref, self._fieldloc, self._data.astype(np.int64))
70 
71     def __getitem__(self, where):
72         return self._data[where]
73 
74     def __copy__(self):
75         return Identifier(self._ref, self._fieldloc, self._data.copy())
76 
77     def __repr__(self):
78         return self._repr("", "", "")
79 
80     def _repr(self, indent, pre, post):
81         out = [indent, pre, "<Identifier ref=" + repr(str(self._ref)) + " fieldloc="]
82         out.append(repr(str(self._fieldloc)))
83         out.append(" length=")
84         out.append(repr(str(len(self._data))))
85         out.append(" width=")
86         out.append(repr(str(self._data.shape[1])))
87         out.append(" at=")
88         out.append(repr(hex(self._data.ctypes.data)))
89         out.append(">\n")
90         out.append(indent + "    ")
91         out.append(
92             self._nplike.array_str(self._data, max_line_width=30).replace(
93                 "\n", "\n" + indent + "    "
94             )
95         )
96         out.append("\n")
97         out.append(indent)
98         out.append("</Identifier>")
99         out.append(post)
100         return "".join(out)
101 
102     def convert_to(self, nplike):
103         return Identifier(self._ref, self._fieldloc, nplike.asarray(self._data))
104 
105     def referentially_equal(self, other):
106         return (
107             self._ref == other._ref
108             and self._fieldloc == other._fieldloc
109             and self._data.ctypes.data == other._data.ctypes.data
110             and self._data.shape == other._data.shape
111             and self._data.strides == other._data.strides
112             and self._data.dtype == other._data.dtype
113         )
114
```
--- 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/src/awkward/_v2/identifier.py b/src/awkward/_v2/identifier.py
--- a/src/awkward/_v2/identifier.py
+++ b/src/awkward/_v2/identifier.py
@@ -27,7 +27,7 @@
 
         self._data = self._nplike.asarray(data, order="C")
         if len(self._data.shape) != 2:
-            raise TypeError("Identifer data must be 2-dimensional")
+            raise TypeError("Identifier data must be 2-dimensional")
 
         # TypeError for unsupported types?
         self._T = self._data.dtype

{"golden_diff": "diff --git a/src/awkward/_v2/identifier.py b/src/awkward/_v2/identifier.py\n--- a/src/awkward/_v2/identifier.py\n+++ b/src/awkward/_v2/identifier.py\n@@ -27,7 +27,7 @@\n \n         self._data = self._nplike.asarray(data, order=\"C\")\n         if len(self._data.shape) != 2:\n-            raise TypeError(\"Identifer data must be 2-dimensional\")\n+            raise TypeError(\"Identifier data must be 2-dimensional\")\n \n         # TypeError for unsupported types?\n         self._T = self._data.dtype\n", "issue": "Typo in `identifier.py`\nhttps://github.com/scikit-hep/awkward-1.0/blob/a0ec3bcacacc81a47fe61a1d99b0bc512a8bb3cf/src/awkward/_v2/identifier.py#L30\n", "before_files": [{"content": "# BSD 3-Clause License; see https://github.com/scikit-hep/awkward-1.0/blob/main/LICENSE\n\nfrom __future__ import absolute_import\n\nimport awkward as ak\n\nnp = ak.nplike.NumpyMetadata.instance()\n\n\nclass Identifier(object):\n    _numrefs = 0\n\n    @staticmethod\n    def newref():\n        out = Identifier._numrefs\n        Identifier._numrefs += 1\n        return out\n\n    def __init__(self, ref, fieldloc, data):\n        self._ref = ref\n        self._fieldloc = fieldloc\n        if not isinstance(fieldloc, dict) or not all(\n            isinstance(k, int) and isinstance(v, str) for k, v in fieldloc.items()\n        ):\n            raise TypeError(\"Identifier fieldloc must be a dict of int -> str\")\n        self._nplike = ak.nplike.of(data)\n\n        self._data = self._nplike.asarray(data, order=\"C\")\n        if len(self._data.shape) != 2:\n            raise TypeError(\"Identifer data must be 2-dimensional\")\n\n        # TypeError for unsupported types?\n        self._T = self._data.dtype\n        if self._T not in (np.dtype(np.int32), np.dtype(np.int64)):\n            raise TypeError(\"Identifier data must be int32, int64\")\n\n    @classmethod\n    # cpp takes width, length?\n    def zeros(cls, ref, fieldloc, length, width, nplike, dtype):\n        return Identifier(ref, fieldloc, nplike.zeros((length, width), dtype=dtype))\n\n    @classmethod\n    def empty(cls, ref, fieldloc, length, width, nplike, dtype):\n        return Identifier(ref, fieldloc, nplike.empty((length, width), dtype=dtype))\n\n    @property\n    def ref(self):\n        return self._ref\n\n    @property\n    def filedloc(self):\n        return self._fieldloc\n\n    @property\n    def data(self):\n        return self._data\n\n    @property\n    def nplike(self):\n        return self._nplike\n\n    def __len__(self):\n        return len(self._data)\n\n    def width(self):\n        return self._data.shape[1]\n\n    def to64(self):\n        return Identifier(self._ref, self._fieldloc, self._data.astype(np.int64))\n\n    def __getitem__(self, where):\n        return self._data[where]\n\n    def __copy__(self):\n        return Identifier(self._ref, self._fieldloc, self._data.copy())\n\n    def __repr__(self):\n        return self._repr(\"\", \"\", \"\")\n\n    def _repr(self, indent, pre, post):\n        out = [indent, pre, \"<Identifier ref=\" + repr(str(self._ref)) + \" fieldloc=\"]\n        out.append(repr(str(self._fieldloc)))\n        out.append(\" length=\")\n        out.append(repr(str(len(self._data))))\n        out.append(\" width=\")\n        out.append(repr(str(self._data.shape[1])))\n        out.append(\" at=\")\n        out.append(repr(hex(self._data.ctypes.data)))\n        out.append(\">\\n\")\n        out.append(indent + \"    \")\n        out.append(\n            self._nplike.array_str(self._data, max_line_width=30).replace(\n                \"\\n\", \"\\n\" + indent + \"    \"\n            )\n        )\n        out.append(\"\\n\")\n        out.append(indent)\n        out.append(\"</Identifier>\")\n        out.append(post)\n        return \"\".join(out)\n\n    def convert_to(self, nplike):\n        return Identifier(self._ref, self._fieldloc, nplike.asarray(self._data))\n\n    def referentially_equal(self, other):\n        return (\n            self._ref == other._ref\n            and self._fieldloc == other._fieldloc\n            and self._data.ctypes.data == other._data.ctypes.data\n            and self._data.shape == other._data.shape\n            and self._data.strides == other._data.strides\n            and self._data.dtype == other._data.dtype\n        )\n", "path": "src/awkward/_v2/identifier.py"}], "after_files": [{"content": "# BSD 3-Clause License; see https://github.com/scikit-hep/awkward-1.0/blob/main/LICENSE\n\nfrom __future__ import absolute_import\n\nimport awkward as ak\n\nnp = ak.nplike.NumpyMetadata.instance()\n\n\nclass Identifier(object):\n    _numrefs = 0\n\n    @staticmethod\n    def newref():\n        out = Identifier._numrefs\n        Identifier._numrefs += 1\n        return out\n\n    def __init__(self, ref, fieldloc, data):\n        self._ref = ref\n        self._fieldloc = fieldloc\n        if not isinstance(fieldloc, dict) or not all(\n            isinstance(k, int) and isinstance(v, str) for k, v in fieldloc.items()\n        ):\n            raise TypeError(\"Identifier fieldloc must be a dict of int -> str\")\n        self._nplike = ak.nplike.of(data)\n\n        self._data = self._nplike.asarray(data, order=\"C\")\n        if len(self._data.shape) != 2:\n            raise TypeError(\"Identifier data must be 2-dimensional\")\n\n        # TypeError for unsupported types?\n        self._T = self._data.dtype\n        if self._T not in (np.dtype(np.int32), np.dtype(np.int64)):\n            raise TypeError(\"Identifier data must be int32, int64\")\n\n    @classmethod\n    # cpp takes width, length?\n    def zeros(cls, ref, fieldloc, length, width, nplike, dtype):\n        return Identifier(ref, fieldloc, nplike.zeros((length, width), dtype=dtype))\n\n    @classmethod\n    def empty(cls, ref, fieldloc, length, width, nplike, dtype):\n        return Identifier(ref, fieldloc, nplike.empty((length, width), dtype=dtype))\n\n    @property\n    def ref(self):\n        return self._ref\n\n    @property\n    def filedloc(self):\n        return self._fieldloc\n\n    @property\n    def data(self):\n        return self._data\n\n    @property\n    def nplike(self):\n        return self._nplike\n\n    def __len__(self):\n        return len(self._data)\n\n    def width(self):\n        return self._data.shape[1]\n\n    def to64(self):\n        return Identifier(self._ref, self._fieldloc, self._data.astype(np.int64))\n\n    def __getitem__(self, where):\n        return self._data[where]\n\n    def __copy__(self):\n        return Identifier(self._ref, self._fieldloc, self._data.copy())\n\n    def __repr__(self):\n        return self._repr(\"\", \"\", \"\")\n\n    def _repr(self, indent, pre, post):\n        out = [indent, pre, \"<Identifier ref=\" + repr(str(self._ref)) + \" fieldloc=\"]\n        out.append(repr(str(self._fieldloc)))\n        out.append(\" length=\")\n        out.append(repr(str(len(self._data))))\n        out.append(\" width=\")\n        out.append(repr(str(self._data.shape[1])))\n        out.append(\" at=\")\n        out.append(repr(hex(self._data.ctypes.data)))\n        out.append(\">\\n\")\n        out.append(indent + \"    \")\n        out.append(\n            self._nplike.array_str(self._data, max_line_width=30).replace(\n                \"\\n\", \"\\n\" + indent + \"    \"\n            )\n        )\n        out.append(\"\\n\")\n        out.append(indent)\n        out.append(\"</Identifier>\")\n        out.append(post)\n        return \"\".join(out)\n\n    def convert_to(self, nplike):\n        return Identifier(self._ref, self._fieldloc, nplike.asarray(self._data))\n\n    def referentially_equal(self, other):\n        return (\n            self._ref == other._ref\n            and self._fieldloc == other._fieldloc\n            and self._data.ctypes.data == other._data.ctypes.data\n            and self._data.shape == other._data.shape\n            and self._data.strides == other._data.strides\n            and self._data.dtype == other._data.dtype\n        )\n", "path": "src/awkward/_v2/identifier.py"}]}