code: def _tile_compressed(cls, op):
      # Compression does not support break into small parts
      df = op.outputs[0]
      chunk_op = op.copy().reset_key()
      chunk_op.offset = 0
      chunk_op.size = file_size(
          op.path, storage_options=op.storage_options
      )
      shape = df.shape
      new_chunk = chunk_op.new_chunk(
          None,
          shape=shape,
          index=(0, 0),
          index_value=df.index_value,
          columns_value=df.columns_value,
          dtypes=df.dtypes,
      )
      new_op = op.copy()
      nsplits = ((np.nan,), (df.shape[1],))
      return new_op.new_dataframes(
          None,
          df.shape,
          dtypes=df.dtypes,
          index_value=df.index_value,
          columns_value=df.columns_value,
          chunks=[new_chunk],
          nsplits=nsplits,
      )
  
imports: from io import BytesIO
  from urllib.parse import urlparse
  import pandas
  import numpy
  from ...None import opcodes
  from ...config import options
  from ...core import OutputType
  from ...lib.filesystem import get_fs, open_file, file_size, glob
  from ...serialization.serializables import StringField, DictField, ListField, Int32Field, Int64Field, BoolField, AnyField
  from ...utils import parse_readable_size, lazy_import, FixedSizeFileObject
  from ..arrays import ArrowStringDtype
  from ..utils import parse_index, build_empty_df, to_arrow_dtypes, contain_arrow_dtype
  from .core import IncrementalIndexDatasource, ColumnPruneSupportedDataSourceMixin, IncrementalIndexDataSourceMixin, merge_small_files
label_desc: Use image node_id 3 for calling the DataFrameReadCSV obj's underlying member method code with example usage: obj._tile_compressed(cls, op) and returns: new_op