old_contents: # -*- coding: utf-8 -*-
  
  """Functions for deleting nodes and edges in networks."""
  
  from ...filters.edge_filters import filter_edges
  from ...filters.edge_predicates import is_associative_relation
  from ...filters.node_filters import get_nodes
  from ...filters.node_predicate_builders import function_inclusion_filter_builder
  from ...pipeline import in_place_transformation
  from ....constants import PATHOLOGY
  
  __all__ = [
      'remove_filtered_edges',
      'remove_associations',
      'remove_pathologies',
  ]
  
  
  @in_place_transformation
  def remove_filtered_edges(graph, edge_predicates=None):
      """Remove edges passing the given edge predicates.
  
      :param pybel.BELGraph graph: A BEL graph
      :param edge_predicates: A predicate or list of predicates
      :type edge_predicates: Optional[(pybel.BELGraph, tuple, tuple, int) -> bool or iter[(pybel.BELGraph, tuple, tuple, int) -> bool]]
      :return:
      """
      edges = list(filter_edges(graph, edge_predicates=edge_predicates))
      graph.remove_edges_from(edges)
  
  
  @in_place_transformation
  def remove_filtered_nodes(graph, node_predicates=None):
      """Remove nodes passing the given node predicates.
  
      :param pybel.BELGraph graph: A BEL graph
      """
      nodes = get_nodes(graph, node_predicates=node_predicates)
      graph.remove_nodes_from(nodes)
  
  
  @in_place_transformation
  def remove_associations(graph):
      """Remove all associative relationships from the graph.
  
      :param pybel.BELGraph graph: A BEL graph
      """
      remove_filtered_edges(graph, is_associative_relation)
  
  
  @in_place_transformation
  def remove_pathologies(graph):
      """Remove pathology nodes from the graph.
  
      :param pybel.BELGraph graph: A BEL graph
      """
      remove_filtered_nodes(graph, node_predicates=function_inclusion_filter_builder(PATHOLOGY))
  
new_contents: # -*- coding: utf-8 -*-
  
  """Functions for deleting nodes and edges in networks."""
  
  from ...filters.edge_filters import filter_edges
  from ...filters.edge_predicates import is_associative_relation
  from ...filters.node_filters import filter_nodes
  from ...filters.node_predicate_builders import function_inclusion_filter_builder
  from ...pipeline import in_place_transformation
  from ....constants import BIOPROCESS, PATHOLOGY
  
  __all__ = [
      'remove_filtered_edges',
      'remove_filtered_nodes',
      'remove_associations',
      'remove_pathologies',
  ]
  
  
  @in_place_transformation
  def remove_filtered_edges(graph, edge_predicates=None):
      """Remove edges passing the given edge predicates.
  
      :param pybel.BELGraph graph: A BEL graph
      :param edge_predicates: A predicate or list of predicates
      :type edge_predicates: Optional[(pybel.BELGraph, tuple, tuple, int) -> bool or iter[(pybel.BELGraph, tuple, tuple, int) -> bool]]
      :return:
      """
      edges = list(filter_edges(graph, edge_predicates=edge_predicates))
      graph.remove_edges_from(edges)
  
  
  @in_place_transformation
  def remove_filtered_nodes(graph, node_predicates=None):
      """Remove nodes passing the given node predicates.
  
      :param pybel.BELGraph graph: A BEL graph
      """
      nodes = list(filter_nodes(graph, node_predicates=node_predicates))
      graph.remove_nodes_from(nodes)
  
  
  @in_place_transformation
  def remove_associations(graph):
      """Remove all associative relationships from the graph.
  
      :param pybel.BELGraph graph: A BEL graph
      """
      remove_filtered_edges(graph, is_associative_relation)
  
  
  @in_place_transformation
  def remove_pathologies(graph):
      """Remove pathology nodes from the graph.
  
      :param pybel.BELGraph graph: A BEL graph
      """
      remove_filtered_nodes(graph, node_predicates=function_inclusion_filter_builder(PATHOLOGY))
  
  
  @in_place_transformation
  def remove_biological_processes(graph):
      """Remove biological process nodes from the graph.
  
      :param pybel.BELGraph graph: A BEL graph
      """
      remove_filtered_nodes(graph, node_predicates=function_inclusion_filter_builder(BIOPROCESS))
  
subject: Update deletion transformation functions