docstr: Find indices to insert `value` so as to maintain order.
  
  For full documentation, see `numpy.searchsorted`
  
  See Also
  --------
  numpy.searchsorted : Equivalent function.
docstr_tok: ["Find","indices","to","insert","`","value","`","so","as","to","maintain","order",".","For","full","documentation",",","see","`","numpy.searchsorted","`","See","Also","--","--","--","--","numpy.searchsorted",":","Equivalent","function","."]
code: def searchsorted(self, value, side="left", sorter=None):
      """
      Find indices to insert `value` so as to maintain order.
  
      For full documentation, see `numpy.searchsorted`
  
      See Also
      --------
      numpy.searchsorted : Equivalent function.
      """
  
      # We are much more performant if the searched
      # indexer is the same type as the array.
      #
      # This doesn't matter for int64, but DOES
      # matter for smaller int dtypes.
      #
      # xref: https://github.com/numpy/numpy/issues/5370
      try:
          value = self.dtype.type(value)
      except ValueError:
          pass
  
      return super(FrozenNDArray, self).searchsorted(
          value, side=side, sorter=sorter
      )
  
imports: import warnings
  import numpy
  from pandas.util._decorators import deprecate_kwarg
  from pandas.core.dtypes.cast import coerce_indexer_dtype
  from pandas.core.base import PandasObject
  from pandas.io.formats.printing import pprint_thing
label_desc: Use image node_id 6 for calling the FrozenNDArray obj's underlying member method code with example usage: obj.searchsorted(value, side, sorter) and returns: super