modin/pandas/series.py
def to_numpy(
        self, dtype=None, copy=False, na_value=no_default, **kwargs
    ):  # noqa: PR01, RT01, D200
        """
        Return the NumPy ndarray representing the values in this Series or Index.
        """
        return (
            super(Series, self)
            .to_numpy(
                dtype=dtype,
                copy=copy,
                na_value=na_value,
            )
            .flatten()
        )

        Return the NumPy ndarray representing the values in this Series or Index.
        
Return the NumPy ndarray representing the values in this Series or Index.
Return the NumPy ndarray representing the values in this Series or Index .
def to_numpy(
        self, dtype=None, copy=False, na_value=no_default, **kwargs
    ):  
        return (
            super(Series, self)
            .to_numpy(
                dtype=dtype,
                copy=copy,
                na_value=na_value,
            )
            .flatten()
        )
def to_numpy ( self , dtype = None , copy = False , na_value = no_default , ** kwargs ) : return ( super ( Series , self ) . to_numpy ( dtype = dtype , copy = copy , na_value = na_value , ) . flatten ( ) )
Return the NumPy ndarray representing the values in this Series or Index.
Return the NumPy ndarray representing the values in this Series or Index .
# noqa: PR01, RT01, D200 """
        Return the NumPy ndarray representing the values in this Series or Index.
        """
self
dtype
copy
na_value