code: def pandas_read_text(
      reader,
      b,
      header,
      kwargs,
      dtypes=None,
      columns=None,
      write_header=True,
      enforce=False,
      path=None,
  ):
      """Convert a block of bytes to a Pandas DataFrame
  
      Parameters
      ----------
      reader : callable
          ``pd.read_csv`` or ``pd.read_table``.
      b : bytestring
          The content to be parsed with ``reader``
      header : bytestring
          An optional header to prepend to ``b``
      kwargs : dict
          A dictionary of keyword arguments to be passed to ``reader``
      dtypes : dict
          dtypes to assign to columns
      path : tuple
          A tuple containing path column name, path to file, and an ordered list of paths.
  
      See Also
      --------
      dask.dataframe.csv.read_pandas_from_bytes
      """
      bio = BytesIO()
      if write_header and not b.startswith(header.rstrip()):
          bio.write(header)
      bio.write(b)
      bio.seek(0)
      df = reader(bio, **kwargs)
      if dtypes:
          coerce_dtypes(df, dtypes)
  
      if enforce and columns and (list(df.columns) != list(columns)):
          raise ValueError("Columns do not match", df.columns, columns)
      if path:
          colname, path, paths = path
          code = paths.index(path)
          df = df.assign(
              **{
                  colname: pd.Categorical.from_codes(
                      np.full(len(df), code), paths
                  )
              }
          )
      return df
  
imports: from __future__ import annotations
  import os
  from collections.abc import Mapping
  from io import BytesIO
  from warnings import catch_warnings, simplefilter, warn
  import numpy
  import pandas
  from fsspec.compression import compr
  from fsspec.core import get_fs_token_paths
  from fsspec.core import open
  from fsspec.core import open_files
  from fsspec.utils import infer_compression
  from pandas.api.types import CategoricalDtype, is_datetime64_any_dtype, is_float_dtype, is_integer_dtype, is_object_dtype
  from dask.base import tokenize
  from dask.bytes import read_bytes
  from dask.core import flatten
  from dask.dataframe.backends import dataframe_creation_dispatch
  from dask.dataframe.io.io import from_map
  from dask.dataframe.io.utils import DataFrameIOFunction
  from dask.dataframe.utils import clear_known_categories
  from dask.delayed import delayed
  from dask.utils import asciitable, parse_bytes
  from dask.dataframe.core import _Frame
label_desc: Use image node_id 1 for calling a global function with example usage: pandas_read_text(reader, b, header, kwargs, dtypes, columns, write_header, enforce, path) and returns: df