code: def index_astype(ix, dtype, copy=True):
      """
      Create an Index with values cast to dtypes.
  
      The class of a new Index is determined by dtype. When conversion is
      impossible, a ValueError exception is raised.
  
      Parameters
      ----------
      dtype : numpy dtype or pandas type
          Note that any signed integer `dtype` is treated as ``'int64'``,
          and any unsigned integer `dtype` is treated as ``'uint64'``,
          regardless of the size.
      copy : bool, default True
          By default, astype always returns a newly allocated object.
          If copy is set to False and internal requirements on dtype are
          satisfied, the original data is used to create a new Index
          or the original Index is returned.
  
      Returns
      -------
      Index
          Index with values cast to specified dtype.
      """
      return astype(ix, dtype, copy=copy)
  
imports: import numpy
  import pandas
  from pandas.api.types import CategoricalDtype
  from ...None import opcodes
  from ...core import recursive_tile
  from ...serialization.serializables import AnyField, StringField, ListField
  from ...tensor.base import sort
  from ...utils import pd_release_version
  from ..core import DATAFRAME_TYPE, SERIES_TYPE
  from ..operands import DataFrameOperand, DataFrameOperandMixin
  from ..utils import build_empty_df, build_empty_series, parse_index
label_desc: Use image node_id 2 for calling a global function with example usage: index_astype(ix, dtype, copy) and returns: astype