angr/analyses/datagraph_meta.py
def pp(self, imarks=False):
        """
        Pretty print the graph.  @imarks determine whether the printed graph
        represents instructions (coarse grained) for easier navigation,  or
        exact statements.
        """
        for e in self.graph.edges():
            data = dict(self.graph.get_edge_data(e[0], e[1]))
            data['label'] = str(data['label']) + " ; " +  self._simproc_info(e[0]) + self._simproc_info(e[1])
            self._print_edge(e, data, imarks)

        Pretty print the graph.  @imarks determine whether the printed graph
        represents instructions (coarse grained) for easier navigation,  or
        exact statements.
        
Pretty print the graph.  @imarks determine whether the printed graph
represents instructions (coarse grained) for easier navigation,  or
exact statements.
Pretty print the graph . @imarks determine whether the printed graph represents instructions ( coarse grained ) for easier navigation or exact statements .
def pp(self, imarks=False):
        for e in self.graph.edges():
            data = dict(self.graph.get_edge_data(e[0], e[1]))
            data['label'] = str(data['label']) + " ; " +  self._simproc_info(e[0]) + self._simproc_info(e[1])
            self._print_edge(e, data, imarks)
def pp ( self , imarks = False ) : for e in self . graph . edges ( ) : data = dict ( self . graph . get_edge_data ( e [ 0 ] , e [ 1 ] ) ) data [ 'label' ] = str ( data [ 'label' ] ) + " ; " + self . _simproc_info ( e [ 0 ] ) + self . _simproc_info ( e [ 1 ] ) self . _print_edge ( e , data , imarks )
Pretty print the graph.
Pretty print the graph .
"""
        Pretty print the graph.  @imarks determine whether the printed graph
        represents instructions (coarse grained) for easier navigation,  or
        exact statements.
        """
self
imarks