prompt: 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()
  
  ```
  
golden_diff: 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
  
verification_info: {"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"}]}