pymc4/distributions/distribution.py
def sample_numpy(self, shape=(), seed=None):
        """
        Forward sampling implementation returning raw numpy arrays.

        Parameters
        ----------
        shape : tuple
            sample shape
        seed : int|None
            random seed
        Returns
        ----------
        array of given shape
        """
        return self.sample(shape, seed).numpy()

        Forward sampling implementation returning raw numpy arrays.

        Parameters
        ----------
        shape : tuple
            sample shape
        seed : int|None
            random seed
        Returns
        ----------
        array of given shape
        
Forward sampling implementation returning raw numpy arrays.
Parameters

shape : tuple
sample shape
seed : int|None
random seed
Returns

array of given shape
Forward sampling implementation returning raw numpy arrays . Parameters shape : tuple sample shape seed : int|None random seed Returns array of given shape
def sample_numpy(self, shape=(), seed=None):
        return self.sample(shape, seed).numpy()
def sample_numpy ( self , shape = ( ) , seed = None ) : return self . sample ( shape , seed ) . numpy ( )
Forward sampling implementation returning raw numpy arrays.
Forward sampling implementation returning raw numpy arrays .
"""
        Forward sampling implementation returning raw numpy arrays.

        Parameters
        ----------
        shape : tuple
            sample shape
        seed : int|None
            random seed
        Returns
        ----------
        array of given shape
        """
self
shape
seed