docstr: Determines if two Index objects contain the same elements.
code: def equals(self, other):
      """
      Determines if two Index objects contain the same elements.
      """
      if self is other:
          return True
  
      if not isinstance(other, Index):
          return False
  
      # need to compare nans locations and make sure that they are the same
      # since nans don't compare equal this is a bit tricky
      try:
          if not isinstance(other, Float64Index):
              other = self._constructor(other)
          if (
              not is_dtype_equal(self.dtype, other.dtype)
              or self.shape != other.shape
          ):
              return False
          left, right = self._ndarray_values, other._ndarray_values
          return ((left == right) | (self._isnan & other._isnan)).all()
      except (TypeError, ValueError):
          return False
  
imports: import warnings
  import numpy
  from pandas._libs import index
  import pandas.compat
  from pandas.util._decorators import Appender, cache_readonly
  from pandas.core.dtypes.common import is_bool, is_bool_dtype, is_dtype_equal, is_extension_array_dtype, is_float, is_integer_dtype, is_scalar, needs_i8_conversion, pandas_dtype
  import pandas.core.dtypes.concat
  from pandas.core.dtypes.missing import isna
  from pandas.core import algorithms
  import pandas.core.common
  import pandas.core.indexes.base
  from pandas.core.indexes.base import Index, InvalidIndexError, _index_shared_docs
  from pandas.core.ops import get_op_result_name
label_desc: Use image node_id 7 for calling the Float64Index obj's underlying member method code with example usage: obj.equals(other) and returns: True, False, unknown, False, False