def expand_to_chunk_size(self, chunk_size, offset=Vec(0,0,0, dtype=int)):
    """
    Align a potentially non-axis aligned bbox to the grid by growing it
    to the nearest grid lines.

    Required:
      chunk_size: arraylike (x,y,z), the size of chunks in the 
                    dataset e.g. (64,64,64)
    Optional:
      offset: arraylike (x,y,z), the starting coordinate of the dataset
    """
    chunk_size = np.array(chunk_size, dtype=np.float32)
    result = self.clone()
    result = result - offset
    result.minpt = np.floor(result.minpt / chunk_size) * chunk_size
    result.maxpt = np.ceil(result.maxpt / chunk_size) * chunk_size 
    return (result + offset).astype(self.dtype)
def expand_to_chunk_size ( self , chunk_size , offset = Vec ( 0 , 0 , 0 , dtype = int ) ) : chunk_size = np . array ( chunk_size , dtype = np . float32 ) result = self . clone ( ) result = result - offset result . minpt = np . floor ( result . minpt / chunk_size ) * chunk_size result . maxpt = np . ceil ( result . maxpt / chunk_size ) * chunk_size return ( result + offset ) . astype ( self . dtype )
Align a potentially non-axis aligned bbox to the grid by growing it
    to the nearest grid lines.

    Required:
      chunk_size: arraylike (x,y,z), the size of chunks in the 
                    dataset e.g. (64,64,64)
    Optional:
      offset: arraylike (x,y,z), the starting coordinate of the dataset