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<h1>Source code for apache_beam.runners.interactive.display.pipeline_graph</h1><div class="highlight"><pre>
<span></span><span class="c1">#</span>
<span class="c1"># Licensed to the Apache Software Foundation (ASF) under one or more</span>
<span class="c1"># contributor license agreements. See the NOTICE file distributed with</span>
<span class="c1"># this work for additional information regarding copyright ownership.</span>
<span class="c1"># The ASF licenses this file to You under the Apache License, Version 2.0</span>
<span class="c1"># (the &quot;License&quot;); you may not use this file except in compliance with</span>
<span class="c1"># the License. You may obtain a copy of the License at</span>
<span class="c1">#</span>
<span class="c1"># http://www.apache.org/licenses/LICENSE-2.0</span>
<span class="c1">#</span>
<span class="c1"># Unless required by applicable law or agreed to in writing, software</span>
<span class="c1"># distributed under the License is distributed on an &quot;AS IS&quot; BASIS,</span>
<span class="c1"># WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.</span>
<span class="c1"># See the License for the specific language governing permissions and</span>
<span class="c1"># limitations under the License.</span>
<span class="c1">#</span>
<span class="sd">&quot;&quot;&quot;For generating Beam pipeline graph in DOT representation.</span>
<span class="sd">This module is experimental. No backwards-compatibility guarantees.</span>
<span class="sd">&quot;&quot;&quot;</span>
<span class="kn">from</span> <span class="nn">__future__</span> <span class="k">import</span> <span class="n">absolute_import</span>
<span class="kn">from</span> <span class="nn">__future__</span> <span class="k">import</span> <span class="n">division</span>
<span class="kn">from</span> <span class="nn">__future__</span> <span class="k">import</span> <span class="n">print_function</span>
<span class="kn">import</span> <span class="nn">collections</span>
<span class="kn">import</span> <span class="nn">threading</span>
<span class="kn">import</span> <span class="nn">pydot</span>
<span class="kn">import</span> <span class="nn">apache_beam</span> <span class="k">as</span> <span class="nn">beam</span>
<span class="kn">from</span> <span class="nn">apache_beam.portability.api</span> <span class="k">import</span> <span class="n">beam_runner_api_pb2</span>
<div class="viewcode-block" id="PipelineGraph"><a class="viewcode-back" href="../../../../../apache_beam.runners.interactive.display.pipeline_graph.html#apache_beam.runners.interactive.display.pipeline_graph.PipelineGraph">[docs]</a><span class="k">class</span> <span class="nc">PipelineGraph</span><span class="p">(</span><span class="nb">object</span><span class="p">):</span>
<span class="sd">&quot;&quot;&quot;Creates a DOT representation of the pipeline. Thread-safe.&quot;&quot;&quot;</span>
<span class="k">def</span> <span class="nf">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span>
<span class="n">pipeline</span><span class="p">,</span>
<span class="n">default_vertex_attrs</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span>
<span class="n">default_edge_attrs</span><span class="o">=</span><span class="kc">None</span><span class="p">):</span>
<span class="sd">&quot;&quot;&quot;Constructor of PipelineGraph.</span>
<span class="sd"> Examples:</span>
<span class="sd"> graph = pipeline_graph.PipelineGraph(pipeline_proto)</span>
<span class="sd"> graph.display_graph()</span>
<span class="sd"> or</span>
<span class="sd"> graph = pipeline_graph.PipelineGraph(pipeline)</span>
<span class="sd"> graph.display_graph()</span>
<span class="sd"> Args:</span>
<span class="sd"> pipeline: (Pipeline proto) or (Pipeline) pipeline to be rendered.</span>
<span class="sd"> default_vertex_attrs: (Dict[str, str]) a dict of default vertex attributes</span>
<span class="sd"> default_edge_attrs: (Dict[str, str]) a dict of default edge attributes</span>
<span class="sd"> &quot;&quot;&quot;</span>
<span class="bp">self</span><span class="o">.</span><span class="n">_lock</span> <span class="o">=</span> <span class="n">threading</span><span class="o">.</span><span class="n">Lock</span><span class="p">()</span>
<span class="bp">self</span><span class="o">.</span><span class="n">_graph</span> <span class="o">=</span> <span class="kc">None</span>
<span class="k">if</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">pipeline</span><span class="p">,</span> <span class="n">beam_runner_api_pb2</span><span class="o">.</span><span class="n">Pipeline</span><span class="p">):</span>
<span class="bp">self</span><span class="o">.</span><span class="n">_pipeline_proto</span> <span class="o">=</span> <span class="n">pipeline</span>
<span class="k">elif</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">pipeline</span><span class="p">,</span> <span class="n">beam</span><span class="o">.</span><span class="n">Pipeline</span><span class="p">):</span>
<span class="bp">self</span><span class="o">.</span><span class="n">_pipeline_proto</span> <span class="o">=</span> <span class="n">pipeline</span><span class="o">.</span><span class="n">to_runner_api</span><span class="p">()</span>
<span class="k">else</span><span class="p">:</span>
<span class="k">raise</span> <span class="ne">TypeError</span><span class="p">(</span><span class="s1">&#39;pipeline should either be a </span><span class="si">%s</span><span class="s1"> or </span><span class="si">%s</span><span class="s1">, while </span><span class="si">%s</span><span class="s1"> is given&#39;</span>
<span class="o">%</span> <span class="p">(</span><span class="n">beam_runner_api_pb2</span><span class="o">.</span><span class="n">Pipeline</span><span class="p">,</span> <span class="n">beam</span><span class="o">.</span><span class="n">Pipeline</span><span class="p">,</span>
<span class="nb">type</span><span class="p">(</span><span class="n">pipeline</span><span class="p">)))</span>
<span class="c1"># A dict from PCollection ID to a list of its consuming Transform IDs</span>
<span class="bp">self</span><span class="o">.</span><span class="n">_consumers</span> <span class="o">=</span> <span class="n">collections</span><span class="o">.</span><span class="n">defaultdict</span><span class="p">(</span><span class="nb">list</span><span class="p">)</span>
<span class="c1"># A dict from PCollection ID to its producing Transform ID</span>
<span class="bp">self</span><span class="o">.</span><span class="n">_producers</span> <span class="o">=</span> <span class="p">{}</span>
<span class="k">for</span> <span class="n">transform_id</span><span class="p">,</span> <span class="n">transform_proto</span> <span class="ow">in</span> <span class="bp">self</span><span class="o">.</span><span class="n">_top_level_transforms</span><span class="p">():</span>
<span class="k">for</span> <span class="n">pcoll_id</span> <span class="ow">in</span> <span class="n">transform_proto</span><span class="o">.</span><span class="n">inputs</span><span class="o">.</span><span class="n">values</span><span class="p">():</span>
<span class="bp">self</span><span class="o">.</span><span class="n">_consumers</span><span class="p">[</span><span class="n">pcoll_id</span><span class="p">]</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">transform_id</span><span class="p">)</span>
<span class="k">for</span> <span class="n">pcoll_id</span> <span class="ow">in</span> <span class="n">transform_proto</span><span class="o">.</span><span class="n">outputs</span><span class="o">.</span><span class="n">values</span><span class="p">():</span>
<span class="bp">self</span><span class="o">.</span><span class="n">_producers</span><span class="p">[</span><span class="n">pcoll_id</span><span class="p">]</span> <span class="o">=</span> <span class="n">transform_id</span>
<span class="c1"># Set the default vertex color to blue.</span>
<span class="n">default_vertex_attrs</span> <span class="o">=</span> <span class="n">default_vertex_attrs</span> <span class="ow">or</span> <span class="p">{}</span>
<span class="k">if</span> <span class="s1">&#39;color&#39;</span> <span class="ow">not</span> <span class="ow">in</span> <span class="n">default_vertex_attrs</span><span class="p">:</span>
<span class="n">default_vertex_attrs</span><span class="p">[</span><span class="s1">&#39;color&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="s1">&#39;blue&#39;</span>
<span class="k">if</span> <span class="s1">&#39;fontcolor&#39;</span> <span class="ow">not</span> <span class="ow">in</span> <span class="n">default_vertex_attrs</span><span class="p">:</span>
<span class="n">default_vertex_attrs</span><span class="p">[</span><span class="s1">&#39;fontcolor&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="s1">&#39;blue&#39;</span>
<span class="n">vertex_dict</span><span class="p">,</span> <span class="n">edge_dict</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">_generate_graph_dicts</span><span class="p">()</span>
<span class="bp">self</span><span class="o">.</span><span class="n">_construct_graph</span><span class="p">(</span><span class="n">vertex_dict</span><span class="p">,</span>
<span class="n">edge_dict</span><span class="p">,</span>
<span class="n">default_vertex_attrs</span><span class="p">,</span>
<span class="n">default_edge_attrs</span><span class="p">)</span>
<div class="viewcode-block" id="PipelineGraph.get_dot"><a class="viewcode-back" href="../../../../../apache_beam.runners.interactive.display.pipeline_graph.html#apache_beam.runners.interactive.display.pipeline_graph.PipelineGraph.get_dot">[docs]</a> <span class="k">def</span> <span class="nf">get_dot</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
<span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">_get_graph</span><span class="p">()</span><span class="o">.</span><span class="n">to_string</span><span class="p">()</span></div>
<span class="k">def</span> <span class="nf">_top_level_transforms</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
<span class="sd">&quot;&quot;&quot;Yields all top level PTransforms (subtransforms of the root PTransform).</span>
<span class="sd"> Yields: (str, PTransform proto) ID, proto pair of top level PTransforms.</span>
<span class="sd"> &quot;&quot;&quot;</span>
<span class="n">transforms</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">_pipeline_proto</span><span class="o">.</span><span class="n">components</span><span class="o">.</span><span class="n">transforms</span>
<span class="k">for</span> <span class="n">root_transform_id</span> <span class="ow">in</span> <span class="bp">self</span><span class="o">.</span><span class="n">_pipeline_proto</span><span class="o">.</span><span class="n">root_transform_ids</span><span class="p">:</span>
<span class="n">root_transform_proto</span> <span class="o">=</span> <span class="n">transforms</span><span class="p">[</span><span class="n">root_transform_id</span><span class="p">]</span>
<span class="k">for</span> <span class="n">top_level_transform_id</span> <span class="ow">in</span> <span class="n">root_transform_proto</span><span class="o">.</span><span class="n">subtransforms</span><span class="p">:</span>
<span class="n">top_level_transform_proto</span> <span class="o">=</span> <span class="n">transforms</span><span class="p">[</span><span class="n">top_level_transform_id</span><span class="p">]</span>
<span class="k">yield</span> <span class="n">top_level_transform_id</span><span class="p">,</span> <span class="n">top_level_transform_proto</span>
<span class="k">def</span> <span class="nf">_generate_graph_dicts</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
<span class="sd">&quot;&quot;&quot;From pipeline_proto and other info, generate the graph.</span>
<span class="sd"> Returns:</span>
<span class="sd"> vertex_dict: (Dict[str, Dict[str, str]]) vertex mapped to attributes.</span>
<span class="sd"> edge_dict: (Dict[(str, str), Dict[str, str]]) vertex pair mapped to the</span>
<span class="sd"> edge&#39;s attribute.</span>
<span class="sd"> &quot;&quot;&quot;</span>
<span class="n">transforms</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">_pipeline_proto</span><span class="o">.</span><span class="n">components</span><span class="o">.</span><span class="n">transforms</span>
<span class="c1"># A dict from vertex name (i.e. PCollection ID) to its attributes.</span>
<span class="n">vertex_dict</span> <span class="o">=</span> <span class="n">collections</span><span class="o">.</span><span class="n">defaultdict</span><span class="p">(</span><span class="nb">dict</span><span class="p">)</span>
<span class="c1"># A dict from vertex name pairs defining the edge (i.e. a pair of PTransform</span>
<span class="c1"># IDs defining the PCollection) to its attributes.</span>
<span class="n">edge_dict</span> <span class="o">=</span> <span class="n">collections</span><span class="o">.</span><span class="n">defaultdict</span><span class="p">(</span><span class="nb">dict</span><span class="p">)</span>
<span class="bp">self</span><span class="o">.</span><span class="n">_edge_to_vertex_pairs</span> <span class="o">=</span> <span class="n">collections</span><span class="o">.</span><span class="n">defaultdict</span><span class="p">(</span><span class="nb">list</span><span class="p">)</span>
<span class="k">for</span> <span class="n">_</span><span class="p">,</span> <span class="n">transform</span> <span class="ow">in</span> <span class="bp">self</span><span class="o">.</span><span class="n">_top_level_transforms</span><span class="p">():</span>
<span class="n">vertex_dict</span><span class="p">[</span><span class="n">transform</span><span class="o">.</span><span class="n">unique_name</span><span class="p">]</span> <span class="o">=</span> <span class="p">{}</span>
<span class="k">for</span> <span class="n">pcoll_id</span> <span class="ow">in</span> <span class="n">transform</span><span class="o">.</span><span class="n">outputs</span><span class="o">.</span><span class="n">values</span><span class="p">():</span>
<span class="c1"># For PCollections without consuming PTransforms, we add an invisible</span>
<span class="c1"># PTransform node as the consumer.</span>
<span class="k">if</span> <span class="n">pcoll_id</span> <span class="ow">not</span> <span class="ow">in</span> <span class="bp">self</span><span class="o">.</span><span class="n">_consumers</span><span class="p">:</span>
<span class="n">invisible_leaf</span> <span class="o">=</span> <span class="s1">&#39;leaf</span><span class="si">%s</span><span class="s1">&#39;</span> <span class="o">%</span> <span class="p">(</span><span class="nb">hash</span><span class="p">(</span><span class="n">pcoll_id</span><span class="p">)</span> <span class="o">%</span> <span class="mi">10000</span><span class="p">)</span>
<span class="n">vertex_dict</span><span class="p">[</span><span class="n">invisible_leaf</span><span class="p">]</span> <span class="o">=</span> <span class="p">{</span><span class="s1">&#39;style&#39;</span><span class="p">:</span> <span class="s1">&#39;invis&#39;</span><span class="p">}</span>
<span class="bp">self</span><span class="o">.</span><span class="n">_edge_to_vertex_pairs</span><span class="p">[</span><span class="n">pcoll_id</span><span class="p">]</span><span class="o">.</span><span class="n">append</span><span class="p">(</span>
<span class="p">(</span><span class="n">transform</span><span class="o">.</span><span class="n">unique_name</span><span class="p">,</span> <span class="n">invisible_leaf</span><span class="p">))</span>
<span class="n">edge_dict</span><span class="p">[(</span><span class="n">transform</span><span class="o">.</span><span class="n">unique_name</span><span class="p">,</span> <span class="n">invisible_leaf</span><span class="p">)]</span> <span class="o">=</span> <span class="p">{}</span>
<span class="k">else</span><span class="p">:</span>
<span class="k">for</span> <span class="n">consumer</span> <span class="ow">in</span> <span class="bp">self</span><span class="o">.</span><span class="n">_consumers</span><span class="p">[</span><span class="n">pcoll_id</span><span class="p">]:</span>
<span class="n">producer_name</span> <span class="o">=</span> <span class="n">transform</span><span class="o">.</span><span class="n">unique_name</span>
<span class="n">consumer_name</span> <span class="o">=</span> <span class="n">transforms</span><span class="p">[</span><span class="n">consumer</span><span class="p">]</span><span class="o">.</span><span class="n">unique_name</span>
<span class="bp">self</span><span class="o">.</span><span class="n">_edge_to_vertex_pairs</span><span class="p">[</span><span class="n">pcoll_id</span><span class="p">]</span><span class="o">.</span><span class="n">append</span><span class="p">(</span>
<span class="p">(</span><span class="n">producer_name</span><span class="p">,</span> <span class="n">consumer_name</span><span class="p">))</span>
<span class="n">edge_dict</span><span class="p">[(</span><span class="n">producer_name</span><span class="p">,</span> <span class="n">consumer_name</span><span class="p">)]</span> <span class="o">=</span> <span class="p">{}</span>
<span class="k">return</span> <span class="n">vertex_dict</span><span class="p">,</span> <span class="n">edge_dict</span>
<span class="k">def</span> <span class="nf">_get_graph</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
<span class="sd">&quot;&quot;&quot;Returns pydot.Dot object for the pipeline graph.</span>
<span class="sd"> The purpose of this method is to avoid accessing the graph while it is</span>
<span class="sd"> updated. No one except for this method should be accessing _graph directly.</span>
<span class="sd"> Returns:</span>
<span class="sd"> (pydot.Dot)</span>
<span class="sd"> &quot;&quot;&quot;</span>
<span class="k">with</span> <span class="bp">self</span><span class="o">.</span><span class="n">_lock</span><span class="p">:</span>
<span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">_graph</span>
<span class="k">def</span> <span class="nf">_construct_graph</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">vertex_dict</span><span class="p">,</span> <span class="n">edge_dict</span><span class="p">,</span>
<span class="n">default_vertex_attrs</span><span class="p">,</span> <span class="n">default_edge_attrs</span><span class="p">):</span>
<span class="sd">&quot;&quot;&quot;Constructs the pydot.Dot object for the pipeline graph.</span>
<span class="sd"> Args:</span>
<span class="sd"> vertex_dict: (Dict[str, Dict[str, str]]) maps vertex names to attributes</span>
<span class="sd"> edge_dict: (Dict[(str, str), Dict[str, str]]) maps vertex name pairs to</span>
<span class="sd"> attributes</span>
<span class="sd"> default_vertex_attrs: (Dict[str, str]) a dict of attributes</span>
<span class="sd"> default_edge_attrs: (Dict[str, str]) a dict of attributes</span>
<span class="sd"> &quot;&quot;&quot;</span>
<span class="k">with</span> <span class="bp">self</span><span class="o">.</span><span class="n">_lock</span><span class="p">:</span>
<span class="bp">self</span><span class="o">.</span><span class="n">_graph</span> <span class="o">=</span> <span class="n">pydot</span><span class="o">.</span><span class="n">Dot</span><span class="p">()</span>
<span class="k">if</span> <span class="n">default_vertex_attrs</span><span class="p">:</span>
<span class="bp">self</span><span class="o">.</span><span class="n">_graph</span><span class="o">.</span><span class="n">set_node_defaults</span><span class="p">(</span><span class="o">**</span><span class="n">default_vertex_attrs</span><span class="p">)</span>
<span class="k">if</span> <span class="n">default_edge_attrs</span><span class="p">:</span>
<span class="bp">self</span><span class="o">.</span><span class="n">_graph</span><span class="o">.</span><span class="n">set_edge_defaults</span><span class="p">(</span><span class="o">**</span><span class="n">default_edge_attrs</span><span class="p">)</span>
<span class="bp">self</span><span class="o">.</span><span class="n">_vertex_refs</span> <span class="o">=</span> <span class="p">{}</span> <span class="c1"># Maps vertex name to pydot.Node</span>
<span class="bp">self</span><span class="o">.</span><span class="n">_edge_refs</span> <span class="o">=</span> <span class="p">{}</span> <span class="c1"># Maps vertex name pairs to pydot.Edge</span>
<span class="k">for</span> <span class="n">vertex</span><span class="p">,</span> <span class="n">vertex_attrs</span> <span class="ow">in</span> <span class="n">vertex_dict</span><span class="o">.</span><span class="n">items</span><span class="p">():</span>
<span class="n">vertex_ref</span> <span class="o">=</span> <span class="n">pydot</span><span class="o">.</span><span class="n">Node</span><span class="p">(</span><span class="n">vertex</span><span class="p">,</span> <span class="o">**</span><span class="n">vertex_attrs</span><span class="p">)</span>
<span class="bp">self</span><span class="o">.</span><span class="n">_vertex_refs</span><span class="p">[</span><span class="n">vertex</span><span class="p">]</span> <span class="o">=</span> <span class="n">vertex_ref</span>
<span class="bp">self</span><span class="o">.</span><span class="n">_graph</span><span class="o">.</span><span class="n">add_node</span><span class="p">(</span><span class="n">vertex_ref</span><span class="p">)</span>
<span class="k">for</span> <span class="n">edge</span><span class="p">,</span> <span class="n">edge_attrs</span> <span class="ow">in</span> <span class="n">edge_dict</span><span class="o">.</span><span class="n">items</span><span class="p">():</span>
<span class="n">vertex_src</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">_vertex_refs</span><span class="p">[</span><span class="n">edge</span><span class="p">[</span><span class="mi">0</span><span class="p">]]</span>
<span class="n">vertex_dst</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">_vertex_refs</span><span class="p">[</span><span class="n">edge</span><span class="p">[</span><span class="mi">1</span><span class="p">]]</span>
<span class="n">edge_ref</span> <span class="o">=</span> <span class="n">pydot</span><span class="o">.</span><span class="n">Edge</span><span class="p">(</span><span class="n">vertex_src</span><span class="p">,</span> <span class="n">vertex_dst</span><span class="p">,</span> <span class="o">**</span><span class="n">edge_attrs</span><span class="p">)</span>
<span class="bp">self</span><span class="o">.</span><span class="n">_edge_refs</span><span class="p">[</span><span class="n">edge</span><span class="p">]</span> <span class="o">=</span> <span class="n">edge_ref</span>
<span class="bp">self</span><span class="o">.</span><span class="n">_graph</span><span class="o">.</span><span class="n">add_edge</span><span class="p">(</span><span class="n">edge_ref</span><span class="p">)</span>
<span class="k">def</span> <span class="nf">_update_graph</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">vertex_dict</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span> <span class="n">edge_dict</span><span class="o">=</span><span class="kc">None</span><span class="p">):</span>
<span class="sd">&quot;&quot;&quot;Updates the pydot.Dot object with the given attribute update</span>
<span class="sd"> Args:</span>
<span class="sd"> vertex_dict: (Dict[str, Dict[str, str]]) maps vertex names to attributes</span>
<span class="sd"> edge_dict: This should be</span>
<span class="sd"> Either (Dict[str, Dict[str, str]]) which maps edge names to attributes</span>
<span class="sd"> Or (Dict[(str, str), Dict[str, str]]) which maps vertex pairs to edge</span>
<span class="sd"> attributes</span>
<span class="sd"> &quot;&quot;&quot;</span>
<span class="k">def</span> <span class="nf">set_attrs</span><span class="p">(</span><span class="n">ref</span><span class="p">,</span> <span class="n">attrs</span><span class="p">):</span>
<span class="k">for</span> <span class="n">attr_name</span><span class="p">,</span> <span class="n">attr_val</span> <span class="ow">in</span> <span class="n">attrs</span><span class="o">.</span><span class="n">items</span><span class="p">():</span>
<span class="n">ref</span><span class="o">.</span><span class="n">set</span><span class="p">(</span><span class="n">attr_name</span><span class="p">,</span> <span class="n">attr_val</span><span class="p">)</span>
<span class="k">with</span> <span class="bp">self</span><span class="o">.</span><span class="n">_lock</span><span class="p">:</span>
<span class="k">if</span> <span class="n">vertex_dict</span><span class="p">:</span>
<span class="k">for</span> <span class="n">vertex</span><span class="p">,</span> <span class="n">vertex_attrs</span> <span class="ow">in</span> <span class="n">vertex_dict</span><span class="o">.</span><span class="n">items</span><span class="p">():</span>
<span class="n">set_attrs</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">_vertex_refs</span><span class="p">[</span><span class="n">vertex</span><span class="p">],</span> <span class="n">vertex_attrs</span><span class="p">)</span>
<span class="k">if</span> <span class="n">edge_dict</span><span class="p">:</span>
<span class="k">for</span> <span class="n">edge</span><span class="p">,</span> <span class="n">edge_attrs</span> <span class="ow">in</span> <span class="n">edge_dict</span><span class="o">.</span><span class="n">items</span><span class="p">():</span>
<span class="k">if</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">edge</span><span class="p">,</span> <span class="nb">tuple</span><span class="p">):</span>
<span class="n">set_attrs</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">_edge_refs</span><span class="p">[</span><span class="n">edge</span><span class="p">],</span> <span class="n">edge_attrs</span><span class="p">)</span>
<span class="k">else</span><span class="p">:</span>
<span class="k">for</span> <span class="n">vertex_pair</span> <span class="ow">in</span> <span class="bp">self</span><span class="o">.</span><span class="n">_edge_to_vertex_pairs</span><span class="p">[</span><span class="n">edge</span><span class="p">]:</span>
<span class="n">set_attrs</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">_edge_refs</span><span class="p">[</span><span class="n">vertex_pair</span><span class="p">],</span> <span class="n">edge_attrs</span><span class="p">)</span></div>
</pre></div>
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