class_docstr: Immutable Index implementing a monotonic integer range.
  
  RangeIndex is a memory-saving special case of Int64Index limited to
  representing monotonic ranges. Using RangeIndex may in some instances
  improve computing speed.
  
  This is the default index type used
  by DataFrame and Series when no explicit index is provided by the user.
  
  Parameters
  ----------
  start : int (default: 0), or other RangeIndex instance
      If int and "stop" is not given, interpreted as "stop" instead.
  stop : int (default: 0)
  step : int (default: 1)
  name : object, optional
      Name to be stored in the index
  copy : bool, default False
      Unused, accepted for homogeneity with other index types.
  
  Attributes
  ----------
  None
  
  Methods
  -------
  from_range
  
  See Also
  --------
  Index : The base pandas Index type.
  Int64Index : Index of int64 data.
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code: def has_duplicates(self):
      return False
  
imports: from datetime import timedelta
  import operator
  from sys import getsizeof
  import warnings
  import numpy
  from pandas._libs import index, lib
  import pandas.compat
  from pandas.compat import get_range_parameters, lrange, range
  from pandas.compat.numpy import function
  from pandas.util._decorators import Appender, cache_readonly
  from pandas.core.dtypes import concat
  from pandas.core.dtypes.common import is_int64_dtype, is_integer, is_scalar, is_timedelta64_dtype
  from pandas.core.dtypes.generic import ABCDataFrame, ABCSeries, ABCTimedeltaIndex
  from pandas.core import ops
  import pandas.core.common
  import pandas.core.indexes.base
  from pandas.core.indexes.base import Index, _index_shared_docs
  from pandas.core.indexes.numeric import Int64Index
label_desc: Use image node_id 18 for calling the RangeIndex obj's underlying member method code with example usage: obj.has_duplicates() and returns: False