code: def read(self, nrows: int | None = None) -> pd.DataFrame:
      if nrows is None:
          nrows = self.nobs
  
      read_lines = min(nrows, self.nobs - self._lines_read)
      read_len = read_lines * self.record_length
      if read_len <= 0:
          self.close()
          raise StopIteration
      raw = self.filepath_or_buffer.read(read_len)
      data = np.frombuffer(raw, dtype=self._dtype, count=read_lines)
  
      df_data = {}
      for j, x in enumerate(self.columns):
          vec = data["s" + str(j)]
          ntype = self.fields[j]["ntype"]
          if ntype == "numeric":
              vec = _handle_truncated_float_vec(
                  vec, self.fields[j]["field_length"]
              )
              miss = self._missing_double(vec)
              v = _parse_float_vec(vec)
              v[miss] = np.nan
          elif self.fields[j]["ntype"] == "char":
              v = [y.rstrip() for y in vec]
  
              if self._encoding is not None:
                  v = [y.decode(self._encoding) for y in v]
  
          df_data.update({x: v})
      df = pd.DataFrame(df_data)
  
      if self._index is None:
          df.index = pd.Index(
              range(self._lines_read, self._lines_read + read_lines)
          )
      else:
          df = df.set_index(self._index)
  
      self._lines_read += read_lines
  
      return df
  
imports: from __future__ import annotations
  from collections import abc
  from datetime import datetime
  import struct
  import warnings
  import numpy
  from pandas._typing import CompressionOptions, DatetimeNaTType, FilePath, ReadBuffer
  from pandas.util._decorators import Appender
  from pandas.util._exceptions import find_stack_level
  import pandas
  from pandas.io.common import get_handle
  from pandas.io.sas.sasreader import ReaderBase
label_desc: Use image node_id 9 for calling the XportReader obj's underlying member method code with example usage: obj.read(nrows) and returns: df