class_docstr: Represent data from pandas Index
code: def _tile_from_pandas(cls, op):
      index = op.outputs[0]
      raw_index = op.data
  
      memory_usage = raw_index.memory_usage(deep=True)
      chunk_size = (
          index.extra_params.raw_chunk_size or options.chunk_size
      )
      chunk_size = decide_series_chunk_size(
          index.shape, chunk_size, memory_usage
      )
      chunk_size_idxes = (range(len(size)) for size in chunk_size)
  
      out_chunks = []
      for chunk_index, chunk_shape in zip(
          itertools.product(*chunk_size_idxes),
          itertools.product(*chunk_size),
      ):
          chunk_op = op.copy().reset_key()
          slc = get_chunk_slices(chunk_size, chunk_index)
          if is_cudf(raw_index):  # pragma: no cover
              chunk_op.data = chunk_data = raw_index[slc[0]]
          else:
              chunk_op.data = chunk_data = raw_index[slc]
          out_chunk = chunk_op.new_chunk(
              None,
              shape=chunk_shape,
              dtype=index.dtype,
              index=chunk_index,
              name=index.name,
              index_value=parse_index(
                  chunk_data, store_data=op.store_data
              ),
          )
          out_chunks.append(out_chunk)
  
      new_op = op.copy()
      return new_op.new_indexes(
          None,
          index.shape,
          dtype=index.dtype,
          index_value=index.index_value,
          name=index.name,
          chunks=out_chunks,
          nsplits=chunk_size,
      )
  
imports: import itertools
  import numpy
  import pandas
  from ...None import opcodes
  from ...config import options
  from ...core import OutputType
  from ...serialization.serializables import IndexField, DataTypeField, BoolField
  from ...tensor.utils import get_chunk_slices
  from ..operands import DataFrameOperand, DataFrameOperandMixin
  from ..utils import parse_index, decide_series_chunk_size, is_cudf
label_desc: Use image node_id 3 for calling the IndexDataSource obj's underlying member method code with example usage: obj._tile_from_pandas(cls, op) and returns: new_op