docstr: Tile when input data has only one chunk on rows
docstr_tok: ["Tile","when","input","data","has","only","one","chunk","on","rows"]
code: def _tile_single(cls, op: "DataFrameMemoryUsage"):
      """
      Tile when input data has only one chunk on rows
      """
      df_or_series = op.inputs[0]
      output = op.outputs[0]
  
      chunks = []
      for c in df_or_series.chunks:
          new_op = op.copy().reset_key()
          if c.ndim == 1:
              # Tile for series
              chunks.append(
                  new_op.new_chunk(
                      [c], index=c.index, dtype=output.dtype, shape=()
                  )
              )
          else:
              # tile for dataframes
              # only calculate with index=True on the initial chunk
              new_op.index = op.index and c.index[-1] == 0
  
              # calculate shape of returning chunk given ``op.index``
              new_shape = (
                  (c.shape[-1] + 1,)
                  if c.index[-1] == 0 and op.index
                  else (c.shape[-1],)
              )
              chunks.append(
                  new_op.new_chunk(
                      [c],
                      shape=new_shape,
                      dtype=output.dtype,
                      index=(c.index[-1],),
                      index_value=op._adapt_index(
                          c.columns_value, c.index[-1]
                      ),
                  )
              )
  
      new_op = op.copy().reset_key()
      # return objects with chunks and nsplits (if needed)
      if df_or_series.ndim == 1:
          return new_op.new_scalar(
              [df_or_series], dtype=output.dtype, chunks=chunks
          )
      else:
          return new_op.new_series(
              [df_or_series],
              shape=output.shape,
              dtype=output.dtype,
              index_value=output.index_value,
              chunks=chunks,
              nsplits=op._adapt_nsplits(df_or_series.nsplits),
          )
  
imports: import operator
  from functools import reduce
  import numpy
  import pandas
  from ...None import opcodes
  from ...config import options
  from ...core.operand import OperandStage
  from ...serialization.serializables import BoolField, Int64Field
  from ...utils import ceildiv, lazy_import
  from ..operands import DataFrameOperand, DataFrameOperandMixin
  from ..core import IndexValue
  from ..utils import parse_index
label_desc: Use image node_id 10 for calling the DataFrameMemoryUsage obj's underlying member method code with example usage: obj._tile_single(cls, op) and returns: new_op, new_op