code: def _from_series_repr(m: re.Match[str]) -> Series:
      """Reconstruct a Series from a regex-matched series repr."""
      from polars.datatypes.convert import dtype_short_repr_to_dtype
  
      shape = m.groups()[0]
      name = m.groups()[1][1:-1]
      length = int(shape[1:-2] if shape else -1)
      dtype = dtype_short_repr_to_dtype(m.groups()[2])
  
      if length == 0:
          string_values = []
      else:
          string_values = [
              v.strip()
              for v in re.findall(
                  r"[\s>#]*(?:\t|\s{4,})([^\n]*)\n", m.groups()[-1]
              )
          ]
          if string_values == ["[", "]"]:
              string_values = []
          elif string_values and string_values[0].lstrip("#> ") == "[":
              string_values = string_values[1:]
  
      values = string_values[:length] if length > 0 else string_values
      values = [
          (None if v == "null" else v)
          for v in values
          if v not in ("…", "...")
      ]
  
      if not values:
          return pl.Series(name=name, values=values, dtype=dtype)
      else:
          srs = pl.Series(name=name, values=values, dtype=String)
          if dtype is None:
              return srs
          elif dtype in (Categorical, String):
              return srs.str.replace('^"(.*)"$', r"$1").cast(dtype)
  
          return _cast_repr_strings_with_schema(
              srs.to_frame(), schema={srs.name: dtype}
          ).to_series()
  
imports: from __future__ import annotations
  import io
  import re
  from itertools import chain, zip_longest
  from typing import TYPE_CHECKING, Any, Iterable, Mapping, Sequence, overload
  import polars._reexport
  from polars import functions
  from polars.datatypes import N_INFER_DEFAULT, Categorical, List, Object, String, Struct
  from polars.dependencies import pandas
  from polars.dependencies import pyarrow
  from polars.exceptions import NoDataError
  from polars.io import read_csv
  from polars.utils.various import _cast_repr_strings_with_schema
label_desc: Use image node_id 5 for calling a global function with example usage: _from_series_repr(m) and returns: pl, _cast_repr_strings_with_schema, srs, srs