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<div class="section" id="module-pymatgen.transformations.transformation_abc">
<span id="pymatgen-transformations-transformation-abc-module"></span><h1>pymatgen.transformations.transformation_abc module<a class="headerlink" href="#module-pymatgen.transformations.transformation_abc" title="Permalink to this headline">¶</a></h1>
<p>Defines an abstract base class contract for Transformation object.</p>
<dl class="py class">
<dt id="pymatgen.transformations.transformation_abc.AbstractTransformation">
<em class="property">class </em><code class="sig-name descname">AbstractTransformation</code><a class="reference external" href="https://github.com/materialsproject/pymatgen/blob/v2021.1.28/pymatgen/transformations/transformation_abc.py#L21-L83"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#pymatgen.transformations.transformation_abc.AbstractTransformation" title="Permalink to this definition">¶</a></dt>
<dd><p>Bases: <code class="xref py py-class docutils literal notranslate"><span class="pre">monty.json.MSONable</span></code></p>
<p>Abstract transformation class.</p>
<dl class="py method">
<dt id="pymatgen.transformations.transformation_abc.AbstractTransformation.apply_transformation">
<em class="property">abstract </em><code class="sig-name descname">apply_transformation</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">structure</span></em><span class="sig-paren">)</span><a class="reference external" href="https://github.com/materialsproject/pymatgen/blob/v2021.1.28/pymatgen/transformations/transformation_abc.py#L26-L53"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#pymatgen.transformations.transformation_abc.AbstractTransformation.apply_transformation" title="Permalink to this definition">¶</a></dt>
<dd><p>Applies the transformation to a structure. Depending on whether a
transformation is one-to-many, there may be an option to return a
ranked list of structures.</p>
<dl class="field-list simple">
<dt class="field-odd">Parameters</dt>
<dd class="field-odd"><ul class="simple">
<li><p><strong>structure</strong> – input structure</p></li>
<li><p><strong>return_ranked_list</strong> – Boolean stating whether or not multiple structures are
returned. If return_ranked_list is a number, that number of
structures is returned.</p></li>
</ul>
</dd>
<dt class="field-even">Returns</dt>
<dd class="field-even"><p>depending on returned_ranked list, either a transformed structure
or
a list of dictionaries, where each dictionary is of the form
{‘structure’ = …. , ‘other_arguments’}
the key ‘transformation’ is reserved for the transformation that
was actually applied to the structure.
This transformation is parsed by the alchemy classes for generating
a more specific transformation history. Any other information will
be stored in the transformation_parameters dictionary in the
transmuted structure class.</p>
</dd>
</dl>
</dd></dl>
<dl class="py method">
<dt id="pymatgen.transformations.transformation_abc.AbstractTransformation.inverse">
<em class="property">abstract property </em><code class="sig-name descname">inverse</code><a class="reference external" href="https://github.com/materialsproject/pymatgen/blob/v2021.1.28/pymatgen/transformations/transformation_abc.py"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#pymatgen.transformations.transformation_abc.AbstractTransformation.inverse" title="Permalink to this definition">¶</a></dt>
<dd><p>Returns the inverse transformation if available.
Otherwise, should return None.</p>
</dd></dl>
<dl class="py method">
<dt id="pymatgen.transformations.transformation_abc.AbstractTransformation.is_one_to_many">
<em class="property">abstract property </em><code class="sig-name descname">is_one_to_many</code><a class="reference external" href="https://github.com/materialsproject/pymatgen/blob/v2021.1.28/pymatgen/transformations/transformation_abc.py"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#pymatgen.transformations.transformation_abc.AbstractTransformation.is_one_to_many" title="Permalink to this definition">¶</a></dt>
<dd><p>Determines if a Transformation is a one-to-many transformation. If a
Transformation is a one-to-many transformation, the
apply_transformation method should have a keyword arg
“return_ranked_list” which allows for the transformed structures to be
returned as a ranked list.</p>
</dd></dl>
<dl class="py method">
<dt id="pymatgen.transformations.transformation_abc.AbstractTransformation.use_multiprocessing">
<em class="property">property </em><code class="sig-name descname">use_multiprocessing</code><a class="reference external" href="https://github.com/materialsproject/pymatgen/blob/v2021.1.28/pymatgen/transformations/transformation_abc.py"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#pymatgen.transformations.transformation_abc.AbstractTransformation.use_multiprocessing" title="Permalink to this definition">¶</a></dt>
<dd><p>Indicates whether the transformation can be applied by a
subprocessing pool. This should be overridden to return True for
transformations that the transmuter can parallelize.</p>
</dd></dl>
</dd></dl>
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