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<h1>Source code for apache_beam.runners.dask.overrides</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="kn">import</span> <span class="nn">dataclasses</span>
<span class="kn">import</span> <span class="nn">typing</span> <span class="k">as</span> <span class="nn">t</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</span> <span class="kn">import</span> <span class="n">typehints</span>
<span class="kn">from</span> <span class="nn">apache_beam.io.iobase</span> <span class="kn">import</span> <span class="n">SourceBase</span>
<span class="kn">from</span> <span class="nn">apache_beam.pipeline</span> <span class="kn">import</span> <span class="n">AppliedPTransform</span>
<span class="kn">from</span> <span class="nn">apache_beam.pipeline</span> <span class="kn">import</span> <span class="n">PTransformOverride</span>
<span class="kn">from</span> <span class="nn">apache_beam.runners.direct.direct_runner</span> <span class="kn">import</span> <span class="n">_GroupAlsoByWindowDoFn</span>
<span class="kn">from</span> <span class="nn">apache_beam.transforms</span> <span class="kn">import</span> <span class="n">ptransform</span>
<span class="kn">from</span> <span class="nn">apache_beam.transforms.window</span> <span class="kn">import</span> <span class="n">GlobalWindows</span>
<span class="n">K</span> <span class="o">=</span> <span class="n">t</span><span class="o">.</span><span class="n">TypeVar</span><span class="p">(</span><span class="s2">&quot;K&quot;</span><span class="p">)</span>
<span class="n">V</span> <span class="o">=</span> <span class="n">t</span><span class="o">.</span><span class="n">TypeVar</span><span class="p">(</span><span class="s2">&quot;V&quot;</span><span class="p">)</span>
<span class="nd">@dataclasses</span><span class="o">.</span><span class="n">dataclass</span>
<span class="k">class</span> <span class="nc">_Create</span><span class="p">(</span><span class="n">beam</span><span class="o">.</span><span class="n">PTransform</span><span class="p">):</span>
<span class="n">values</span><span class="p">:</span> <span class="n">t</span><span class="o">.</span><span class="n">Tuple</span><span class="p">[</span><span class="n">t</span><span class="o">.</span><span class="n">Any</span><span class="p">]</span>
<span class="k">def</span> <span class="nf">expand</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">input_or_inputs</span><span class="p">):</span>
<span class="k">return</span> <span class="n">beam</span><span class="o">.</span><span class="n">pvalue</span><span class="o">.</span><span class="n">PCollection</span><span class="o">.</span><span class="n">from_</span><span class="p">(</span><span class="n">input_or_inputs</span><span class="p">)</span>
<span class="k">def</span> <span class="nf">get_windowing</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">inputs</span><span class="p">:</span> <span class="n">t</span><span class="o">.</span><span class="n">Any</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">beam</span><span class="o">.</span><span class="n">Windowing</span><span class="p">:</span>
<span class="k">return</span> <span class="n">beam</span><span class="o">.</span><span class="n">Windowing</span><span class="p">(</span><span class="n">GlobalWindows</span><span class="p">())</span>
<span class="nd">@typehints</span><span class="o">.</span><span class="n">with_input_types</span><span class="p">(</span><span class="n">K</span><span class="p">)</span>
<span class="nd">@typehints</span><span class="o">.</span><span class="n">with_output_types</span><span class="p">(</span><span class="n">K</span><span class="p">)</span>
<span class="k">class</span> <span class="nc">_Reshuffle</span><span class="p">(</span><span class="n">beam</span><span class="o">.</span><span class="n">PTransform</span><span class="p">):</span>
<span class="k">def</span> <span class="nf">expand</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">input_or_inputs</span><span class="p">):</span>
<span class="k">return</span> <span class="n">beam</span><span class="o">.</span><span class="n">pvalue</span><span class="o">.</span><span class="n">PCollection</span><span class="o">.</span><span class="n">from_</span><span class="p">(</span><span class="n">input_or_inputs</span><span class="p">)</span>
<span class="nd">@dataclasses</span><span class="o">.</span><span class="n">dataclass</span>
<span class="k">class</span> <span class="nc">_Read</span><span class="p">(</span><span class="n">beam</span><span class="o">.</span><span class="n">PTransform</span><span class="p">):</span>
<span class="n">source</span><span class="p">:</span> <span class="n">SourceBase</span>
<span class="k">def</span> <span class="nf">expand</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">input_or_inputs</span><span class="p">):</span>
<span class="k">return</span> <span class="n">beam</span><span class="o">.</span><span class="n">pvalue</span><span class="o">.</span><span class="n">PCollection</span><span class="o">.</span><span class="n">from_</span><span class="p">(</span><span class="n">input_or_inputs</span><span class="p">)</span>
<span class="nd">@typehints</span><span class="o">.</span><span class="n">with_input_types</span><span class="p">(</span><span class="n">t</span><span class="o">.</span><span class="n">Tuple</span><span class="p">[</span><span class="n">K</span><span class="p">,</span> <span class="n">V</span><span class="p">])</span>
<span class="nd">@typehints</span><span class="o">.</span><span class="n">with_output_types</span><span class="p">(</span><span class="n">t</span><span class="o">.</span><span class="n">Tuple</span><span class="p">[</span><span class="n">K</span><span class="p">,</span> <span class="n">t</span><span class="o">.</span><span class="n">Iterable</span><span class="p">[</span><span class="n">V</span><span class="p">]])</span>
<span class="k">class</span> <span class="nc">_GroupByKeyOnly</span><span class="p">(</span><span class="n">beam</span><span class="o">.</span><span class="n">PTransform</span><span class="p">):</span>
<span class="k">def</span> <span class="nf">expand</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">input_or_inputs</span><span class="p">):</span>
<span class="k">return</span> <span class="n">beam</span><span class="o">.</span><span class="n">pvalue</span><span class="o">.</span><span class="n">PCollection</span><span class="o">.</span><span class="n">from_</span><span class="p">(</span><span class="n">input_or_inputs</span><span class="p">)</span>
<span class="k">def</span> <span class="nf">infer_output_type</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">input_type</span><span class="p">):</span>
<span class="n">key_type</span><span class="p">,</span> <span class="n">value_type</span> <span class="o">=</span> <span class="n">typehints</span><span class="o">.</span><span class="n">trivial_inference</span><span class="o">.</span><span class="n">key_value_types</span><span class="p">(</span>
<span class="n">input_type</span>
<span class="p">)</span>
<span class="k">return</span> <span class="n">typehints</span><span class="o">.</span><span class="n">KV</span><span class="p">[</span><span class="n">key_type</span><span class="p">,</span> <span class="n">typehints</span><span class="o">.</span><span class="n">Iterable</span><span class="p">[</span><span class="n">value_type</span><span class="p">]]</span>
<span class="nd">@typehints</span><span class="o">.</span><span class="n">with_input_types</span><span class="p">(</span><span class="n">t</span><span class="o">.</span><span class="n">Tuple</span><span class="p">[</span><span class="n">K</span><span class="p">,</span> <span class="n">t</span><span class="o">.</span><span class="n">Iterable</span><span class="p">[</span><span class="n">V</span><span class="p">]])</span>
<span class="nd">@typehints</span><span class="o">.</span><span class="n">with_output_types</span><span class="p">(</span><span class="n">t</span><span class="o">.</span><span class="n">Tuple</span><span class="p">[</span><span class="n">K</span><span class="p">,</span> <span class="n">t</span><span class="o">.</span><span class="n">Iterable</span><span class="p">[</span><span class="n">V</span><span class="p">]])</span>
<span class="k">class</span> <span class="nc">_GroupAlsoByWindow</span><span class="p">(</span><span class="n">beam</span><span class="o">.</span><span class="n">ParDo</span><span class="p">):</span>
<span class="w"> </span><span class="sd">&quot;&quot;&quot;Not used yet...&quot;&quot;&quot;</span>
<span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">windowing</span><span class="p">):</span>
<span class="nb">super</span><span class="p">()</span><span class="o">.</span><span class="fm">__init__</span><span class="p">(</span><span class="n">_GroupAlsoByWindowDoFn</span><span class="p">(</span><span class="n">windowing</span><span class="p">))</span>
<span class="bp">self</span><span class="o">.</span><span class="n">windowing</span> <span class="o">=</span> <span class="n">windowing</span>
<span class="k">def</span> <span class="nf">expand</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">input_or_inputs</span><span class="p">):</span>
<span class="k">return</span> <span class="n">beam</span><span class="o">.</span><span class="n">pvalue</span><span class="o">.</span><span class="n">PCollection</span><span class="o">.</span><span class="n">from_</span><span class="p">(</span><span class="n">input_or_inputs</span><span class="p">)</span>
<span class="nd">@typehints</span><span class="o">.</span><span class="n">with_input_types</span><span class="p">(</span><span class="n">t</span><span class="o">.</span><span class="n">Tuple</span><span class="p">[</span><span class="n">K</span><span class="p">,</span> <span class="n">V</span><span class="p">])</span>
<span class="nd">@typehints</span><span class="o">.</span><span class="n">with_output_types</span><span class="p">(</span><span class="n">t</span><span class="o">.</span><span class="n">Tuple</span><span class="p">[</span><span class="n">K</span><span class="p">,</span> <span class="n">t</span><span class="o">.</span><span class="n">Iterable</span><span class="p">[</span><span class="n">V</span><span class="p">]])</span>
<span class="k">class</span> <span class="nc">_GroupByKey</span><span class="p">(</span><span class="n">beam</span><span class="o">.</span><span class="n">PTransform</span><span class="p">):</span>
<span class="k">def</span> <span class="nf">expand</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">input_or_inputs</span><span class="p">):</span>
<span class="k">return</span> <span class="n">input_or_inputs</span> <span class="o">|</span> <span class="s2">&quot;GroupByKey&quot;</span> <span class="o">&gt;&gt;</span> <span class="n">_GroupByKeyOnly</span><span class="p">()</span>
<span class="k">class</span> <span class="nc">_Flatten</span><span class="p">(</span><span class="n">beam</span><span class="o">.</span><span class="n">PTransform</span><span class="p">):</span>
<span class="k">def</span> <span class="nf">expand</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">input_or_inputs</span><span class="p">):</span>
<span class="n">is_bounded</span> <span class="o">=</span> <span class="nb">all</span><span class="p">(</span><span class="n">pcoll</span><span class="o">.</span><span class="n">is_bounded</span> <span class="k">for</span> <span class="n">pcoll</span> <span class="ow">in</span> <span class="n">input_or_inputs</span><span class="p">)</span>
<span class="k">return</span> <span class="n">beam</span><span class="o">.</span><span class="n">pvalue</span><span class="o">.</span><span class="n">PCollection</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">pipeline</span><span class="p">,</span> <span class="n">is_bounded</span><span class="o">=</span><span class="n">is_bounded</span><span class="p">)</span>
<div class="viewcode-block" id="dask_overrides"><a class="viewcode-back" href="../../../../apache_beam.runners.dask.overrides.html#apache_beam.runners.dask.overrides.dask_overrides">[docs]</a><span class="k">def</span> <span class="nf">dask_overrides</span><span class="p">()</span> <span class="o">-&gt;</span> <span class="n">t</span><span class="o">.</span><span class="n">List</span><span class="p">[</span><span class="n">PTransformOverride</span><span class="p">]:</span>
<span class="k">class</span> <span class="nc">CreateOverride</span><span class="p">(</span><span class="n">PTransformOverride</span><span class="p">):</span>
<span class="k">def</span> <span class="nf">matches</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">applied_ptransform</span><span class="p">:</span> <span class="n">AppliedPTransform</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="nb">bool</span><span class="p">:</span>
<span class="k">return</span> <span class="n">applied_ptransform</span><span class="o">.</span><span class="n">transform</span><span class="o">.</span><span class="vm">__class__</span> <span class="o">==</span> <span class="n">beam</span><span class="o">.</span><span class="n">Create</span>
<span class="k">def</span> <span class="nf">get_replacement_transform_for_applied_ptransform</span><span class="p">(</span>
<span class="bp">self</span><span class="p">,</span> <span class="n">applied_ptransform</span><span class="p">:</span> <span class="n">AppliedPTransform</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">ptransform</span><span class="o">.</span><span class="n">PTransform</span><span class="p">:</span>
<span class="k">return</span> <span class="n">_Create</span><span class="p">(</span><span class="n">t</span><span class="o">.</span><span class="n">cast</span><span class="p">(</span><span class="n">beam</span><span class="o">.</span><span class="n">Create</span><span class="p">,</span> <span class="n">applied_ptransform</span><span class="o">.</span><span class="n">transform</span><span class="p">)</span><span class="o">.</span><span class="n">values</span><span class="p">)</span>
<span class="k">class</span> <span class="nc">ReshuffleOverride</span><span class="p">(</span><span class="n">PTransformOverride</span><span class="p">):</span>
<span class="k">def</span> <span class="nf">matches</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">applied_ptransform</span><span class="p">:</span> <span class="n">AppliedPTransform</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="nb">bool</span><span class="p">:</span>
<span class="k">return</span> <span class="n">applied_ptransform</span><span class="o">.</span><span class="n">transform</span><span class="o">.</span><span class="vm">__class__</span> <span class="o">==</span> <span class="n">beam</span><span class="o">.</span><span class="n">Reshuffle</span>
<span class="k">def</span> <span class="nf">get_replacement_transform_for_applied_ptransform</span><span class="p">(</span>
<span class="bp">self</span><span class="p">,</span> <span class="n">applied_ptransform</span><span class="p">:</span> <span class="n">AppliedPTransform</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">ptransform</span><span class="o">.</span><span class="n">PTransform</span><span class="p">:</span>
<span class="k">return</span> <span class="n">_Reshuffle</span><span class="p">()</span>
<span class="k">class</span> <span class="nc">ReadOverride</span><span class="p">(</span><span class="n">PTransformOverride</span><span class="p">):</span>
<span class="k">def</span> <span class="nf">matches</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">applied_ptransform</span><span class="p">:</span> <span class="n">AppliedPTransform</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="nb">bool</span><span class="p">:</span>
<span class="k">return</span> <span class="n">applied_ptransform</span><span class="o">.</span><span class="n">transform</span><span class="o">.</span><span class="vm">__class__</span> <span class="o">==</span> <span class="n">beam</span><span class="o">.</span><span class="n">io</span><span class="o">.</span><span class="n">Read</span>
<span class="k">def</span> <span class="nf">get_replacement_transform_for_applied_ptransform</span><span class="p">(</span>
<span class="bp">self</span><span class="p">,</span> <span class="n">applied_ptransform</span><span class="p">:</span> <span class="n">AppliedPTransform</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">ptransform</span><span class="o">.</span><span class="n">PTransform</span><span class="p">:</span>
<span class="k">return</span> <span class="n">_Read</span><span class="p">(</span><span class="n">t</span><span class="o">.</span><span class="n">cast</span><span class="p">(</span><span class="n">beam</span><span class="o">.</span><span class="n">io</span><span class="o">.</span><span class="n">Read</span><span class="p">,</span> <span class="n">applied_ptransform</span><span class="o">.</span><span class="n">transform</span><span class="p">)</span><span class="o">.</span><span class="n">source</span><span class="p">)</span>
<span class="k">class</span> <span class="nc">GroupByKeyOverride</span><span class="p">(</span><span class="n">PTransformOverride</span><span class="p">):</span>
<span class="k">def</span> <span class="nf">matches</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">applied_ptransform</span><span class="p">:</span> <span class="n">AppliedPTransform</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="nb">bool</span><span class="p">:</span>
<span class="k">return</span> <span class="n">applied_ptransform</span><span class="o">.</span><span class="n">transform</span><span class="o">.</span><span class="vm">__class__</span> <span class="o">==</span> <span class="n">beam</span><span class="o">.</span><span class="n">GroupByKey</span>
<span class="k">def</span> <span class="nf">get_replacement_transform_for_applied_ptransform</span><span class="p">(</span>
<span class="bp">self</span><span class="p">,</span> <span class="n">applied_ptransform</span><span class="p">:</span> <span class="n">AppliedPTransform</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">ptransform</span><span class="o">.</span><span class="n">PTransform</span><span class="p">:</span>
<span class="k">return</span> <span class="n">_GroupByKey</span><span class="p">()</span>
<span class="k">class</span> <span class="nc">FlattenOverride</span><span class="p">(</span><span class="n">PTransformOverride</span><span class="p">):</span>
<span class="k">def</span> <span class="nf">matches</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">applied_ptransform</span><span class="p">:</span> <span class="n">AppliedPTransform</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="nb">bool</span><span class="p">:</span>
<span class="k">return</span> <span class="n">applied_ptransform</span><span class="o">.</span><span class="n">transform</span><span class="o">.</span><span class="vm">__class__</span> <span class="o">==</span> <span class="n">beam</span><span class="o">.</span><span class="n">Flatten</span>
<span class="k">def</span> <span class="nf">get_replacement_transform_for_applied_ptransform</span><span class="p">(</span>
<span class="bp">self</span><span class="p">,</span> <span class="n">applied_ptransform</span><span class="p">:</span> <span class="n">AppliedPTransform</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">ptransform</span><span class="o">.</span><span class="n">PTransform</span><span class="p">:</span>
<span class="k">return</span> <span class="n">_Flatten</span><span class="p">()</span>
<span class="k">return</span> <span class="p">[</span>
<span class="n">CreateOverride</span><span class="p">(),</span>
<span class="n">ReshuffleOverride</span><span class="p">(),</span>
<span class="n">ReadOverride</span><span class="p">(),</span>
<span class="n">GroupByKeyOverride</span><span class="p">(),</span>
<span class="n">FlattenOverride</span><span class="p">(),</span>
<span class="p">]</span></div>
</pre></div>
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