parameters: (self, keep="first")
return_statement: return result.__finalize__(self, method="duplicated")
docstring: Indicate duplicate Series values.
  
          Duplicated values are indicated as ``True`` values in the resulting
          Series. Either all duplicates, all except the first or all except the
          last occurrence of duplicates can be indicated.
  
          Parameters
          ----------
          keep : {'first', 'last', False}, default 'first'
              Method to handle dropping duplicates:
  
              - 'first' : Mark duplicates as ``True`` except for the first
                occurrence.
              - 'last' : Mark duplicates as ``True`` except for the last
                occurrence.
              - ``False`` : Mark all duplicates as ``True``.
  
          Returns
          -------
          Series[bool]
              Series indicating whether each value has occurred in the
              preceding values.
  
          See Also
          --------
          Index.duplicated : Equivalent method on pandas.Index.
          DataFrame.duplicated : Equivalent method on pandas.DataFrame.
          Series.drop_duplicates : Remove duplicate values from Series.
  
          Examples
          --------
          By default, for each set of duplicated values, the first occurrence is
          set on False and all others on True:
  
          >>> animals = pd.Series(['lama', 'cow', 'lama', 'beetle', 'lama'])
          >>> animals.duplicated()
          0    False
          1    False
          2     True
          3    False
          4     True
          dtype: bool
  
          which is equivalent to
  
          >>> animals.duplicated(keep='first')
          0    False
          1    False
          2     True
          3    False
          4     True
          dtype: bool
  
          By using 'last', the last occurrence of each set of duplicated values
          is set on False and all others on True:
  
          >>> animals.duplicated(keep='last')
          0     True
          1    False
          2     True
          3    False
          4    False
          dtype: bool
  
          By setting keep on ``False``, all duplicates are True:
  
          >>> animals.duplicated(keep=False)
          0     True
          1    False
          2     True
          3    False
          4     True
          dtype: bool
docstring_summary: Indicate duplicate Series values.
docstring_tokens: Indicate duplicate Series values .
function: def duplicated(self, keep="first") -> Series:
          """
          Indicate duplicate Series values.
  
          Duplicated values are indicated as ``True`` values in the resulting
          Series. Either all duplicates, all except the first or all except the
          last occurrence of duplicates can be indicated.
  
          Parameters
          ----------
          keep : {'first', 'last', False}, default 'first'
              Method to handle dropping duplicates:
  
              - 'first' : Mark duplicates as ``True`` except for the first
                occurrence.
              - 'last' : Mark duplicates as ``True`` except for the last
                occurrence.
              - ``False`` : Mark all duplicates as ``True``.
  
          Returns
          -------
          Series[bool]
              Series indicating whether each value has occurred in the
              preceding values.
  
          See Also
          --------
          Index.duplicated : Equivalent method on pandas.Index.
          DataFrame.duplicated : Equivalent method on pandas.DataFrame.
          Series.drop_duplicates : Remove duplicate values from Series.
  
          Examples
          --------
          By default, for each set of duplicated values, the first occurrence is
          set on False and all others on True:
  
          >>> animals = pd.Series(['lama', 'cow', 'lama', 'beetle', 'lama'])
          >>> animals.duplicated()
          0    False
          1    False
          2     True
          3    False
          4     True
          dtype: bool
  
          which is equivalent to
  
          >>> animals.duplicated(keep='first')
          0    False
          1    False
          2     True
          3    False
          4     True
          dtype: bool
  
          By using 'last', the last occurrence of each set of duplicated values
          is set on False and all others on True:
  
          >>> animals.duplicated(keep='last')
          0     True
          1    False
          2     True
          3    False
          4    False
          dtype: bool
  
          By setting keep on ``False``, all duplicates are True:
  
          >>> animals.duplicated(keep=False)
          0     True
          1    False
          2     True
          3    False
          4     True
          dtype: bool
          """
          res = self._duplicated(keep=keep)
          result = self._constructor(res, index=self.index)
          return result.__finalize__(self, method="duplicated")
function_tokens: def duplicated ( self , keep = "first" ) -> Series : res = self . _duplicated ( keep = keep ) result = self . _constructor ( res , index = self . index ) return result . __finalize__ ( self , method = "duplicated" )