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  <h1>Source code for pyFTS.models.nonstationary.cvfts</h1><div class="highlight"><pre>
<span></span><span class="kn">import</span> <span class="nn">numpy</span> <span class="k">as</span> <span class="nn">np</span>
<span class="kn">from</span> <span class="nn">pyFTS.models</span> <span class="kn">import</span> <span class="n">hofts</span>
<span class="kn">from</span> <span class="nn">pyFTS.models.nonstationary</span> <span class="kn">import</span> <span class="n">common</span><span class="p">,</span><span class="n">nsfts</span>
<span class="kn">from</span> <span class="nn">pyFTS.common</span> <span class="kn">import</span> <span class="n">FLR</span><span class="p">,</span> <span class="n">flrg</span><span class="p">,</span> <span class="n">tree</span>


<div class="viewcode-block" id="HighOrderNonstationaryFLRG"><a class="viewcode-back" href="../../../../pyFTS.models.nonstationary.html#pyFTS.models.nonstationary.cvfts.HighOrderNonstationaryFLRG">[docs]</a><span class="k">class</span> <span class="nc">HighOrderNonstationaryFLRG</span><span class="p">(</span><span class="n">hofts</span><span class="o">.</span><span class="n">HighOrderFTS</span><span class="p">):</span>
    <span class="sd">&quot;&quot;&quot;Conventional High Order Fuzzy Logical Relationship Group&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">order</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">):</span>
        <span class="nb">super</span><span class="p">(</span><span class="n">HighOrderNonstationaryFLRG</span><span class="p">,</span> <span class="bp">self</span><span class="p">)</span><span class="o">.</span><span class="fm">__init__</span><span class="p">(</span><span class="n">order</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">)</span>
        <span class="bp">self</span><span class="o">.</span><span class="n">LHS</span> <span class="o">=</span> <span class="p">[]</span>
        <span class="bp">self</span><span class="o">.</span><span class="n">RHS</span> <span class="o">=</span> <span class="p">{}</span>
        <span class="bp">self</span><span class="o">.</span><span class="n">strlhs</span> <span class="o">=</span> <span class="s2">&quot;&quot;</span>

<div class="viewcode-block" id="HighOrderNonstationaryFLRG.append_rhs"><a class="viewcode-back" href="../../../../pyFTS.models.nonstationary.html#pyFTS.models.nonstationary.cvfts.HighOrderNonstationaryFLRG.append_rhs">[docs]</a>    <span class="k">def</span> <span class="nf">append_rhs</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">c</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">):</span>
        <span class="k">if</span> <span class="n">c</span> <span class="ow">not</span> <span class="ow">in</span> <span class="bp">self</span><span class="o">.</span><span class="n">RHS</span><span class="p">:</span>
            <span class="bp">self</span><span class="o">.</span><span class="n">RHS</span><span class="p">[</span><span class="n">c</span><span class="p">]</span> <span class="o">=</span> <span class="n">c</span></div>

<div class="viewcode-block" id="HighOrderNonstationaryFLRG.append_lhs"><a class="viewcode-back" href="../../../../pyFTS.models.nonstationary.html#pyFTS.models.nonstationary.cvfts.HighOrderNonstationaryFLRG.append_lhs">[docs]</a>    <span class="k">def</span> <span class="nf">append_lhs</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">c</span><span class="p">):</span>
        <span class="bp">self</span><span class="o">.</span><span class="n">LHS</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">c</span><span class="p">)</span></div>

    <span class="k">def</span> <span class="fm">__str__</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
        <span class="n">tmp</span> <span class="o">=</span> <span class="s2">&quot;&quot;</span>
        <span class="k">for</span> <span class="n">c</span> <span class="ow">in</span> <span class="nb">sorted</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">RHS</span><span class="p">):</span>
            <span class="k">if</span> <span class="nb">len</span><span class="p">(</span><span class="n">tmp</span><span class="p">)</span> <span class="o">&gt;</span> <span class="mi">0</span><span class="p">:</span>
                <span class="n">tmp</span> <span class="o">=</span> <span class="n">tmp</span> <span class="o">+</span> <span class="s2">&quot;,&quot;</span>
            <span class="n">tmp</span> <span class="o">=</span> <span class="n">tmp</span> <span class="o">+</span> <span class="n">c</span>
        <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">get_key</span><span class="p">()</span> <span class="o">+</span> <span class="s2">&quot; -&gt; &quot;</span> <span class="o">+</span> <span class="n">tmp</span>


    <span class="k">def</span> <span class="fm">__len__</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
        <span class="k">return</span> <span class="nb">len</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">RHS</span><span class="p">)</span></div>


<div class="viewcode-block" id="ConditionalVarianceFTS"><a class="viewcode-back" href="../../../../pyFTS.models.nonstationary.html#pyFTS.models.nonstationary.cvfts.ConditionalVarianceFTS">[docs]</a><span class="k">class</span> <span class="nc">ConditionalVarianceFTS</span><span class="p">(</span><span class="n">hofts</span><span class="o">.</span><span class="n">HighOrderFTS</span><span class="p">):</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="o">**</span><span class="n">kwargs</span><span class="p">):</span>
        <span class="nb">super</span><span class="p">(</span><span class="n">ConditionalVarianceFTS</span><span class="p">,</span> <span class="bp">self</span><span class="p">)</span><span class="o">.</span><span class="fm">__init__</span><span class="p">(</span><span class="o">**</span><span class="n">kwargs</span><span class="p">)</span>
        <span class="bp">self</span><span class="o">.</span><span class="n">name</span> <span class="o">=</span> <span class="s2">&quot;Conditional Variance FTS&quot;</span>
        <span class="bp">self</span><span class="o">.</span><span class="n">shortname</span> <span class="o">=</span> <span class="s2">&quot;CVFTS &quot;</span>
        <span class="bp">self</span><span class="o">.</span><span class="n">detail</span> <span class="o">=</span> <span class="s2">&quot;&quot;</span>
        <span class="bp">self</span><span class="o">.</span><span class="n">flrgs</span> <span class="o">=</span> <span class="p">{}</span>
        <span class="bp">self</span><span class="o">.</span><span class="n">is_high_order</span> <span class="o">=</span> <span class="kc">False</span>
        <span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">partitioner</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span><span class="p">:</span>
            <span class="bp">self</span><span class="o">.</span><span class="n">append_transformation</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">partitioner</span><span class="o">.</span><span class="n">transformation</span><span class="p">)</span>

        <span class="bp">self</span><span class="o">.</span><span class="n">min_stack</span> <span class="o">=</span> <span class="p">[</span><span class="mi">0</span><span class="p">,</span><span class="mi">0</span><span class="p">,</span><span class="mi">0</span><span class="p">]</span>
        <span class="bp">self</span><span class="o">.</span><span class="n">max_stack</span> <span class="o">=</span> <span class="p">[</span><span class="mi">0</span><span class="p">,</span><span class="mi">0</span><span class="p">,</span><span class="mi">0</span><span class="p">]</span>
        <span class="bp">self</span><span class="o">.</span><span class="n">uod_clip</span> <span class="o">=</span> <span class="kc">False</span>
        <span class="bp">self</span><span class="o">.</span><span class="n">order</span> <span class="o">=</span> <span class="mi">1</span>
        <span class="bp">self</span><span class="o">.</span><span class="n">min_order</span> <span class="o">=</span> <span class="mi">1</span>
        <span class="bp">self</span><span class="o">.</span><span class="n">max_lag</span> <span class="o">=</span> <span class="mi">1</span>
        <span class="bp">self</span><span class="o">.</span><span class="n">inputs</span> <span class="o">=</span> <span class="p">[]</span>
        <span class="bp">self</span><span class="o">.</span><span class="n">forecasts</span> <span class="o">=</span> <span class="p">[]</span>
        <span class="bp">self</span><span class="o">.</span><span class="n">residuals</span> <span class="o">=</span> <span class="p">[]</span>
        <span class="bp">self</span><span class="o">.</span><span class="n">variance_residual</span> <span class="o">=</span> <span class="mf">0.</span>
        <span class="bp">self</span><span class="o">.</span><span class="n">mean_residual</span> <span class="o">=</span> <span class="mf">0.</span>
        <span class="bp">self</span><span class="o">.</span><span class="n">memory_window</span> <span class="o">=</span> <span class="n">kwargs</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="s2">&quot;memory_window&quot;</span><span class="p">,</span><span class="mi">5</span><span class="p">)</span>
        <span class="bp">self</span><span class="o">.</span><span class="n">sets</span> <span class="o">=</span> <span class="p">{}</span>

<div class="viewcode-block" id="ConditionalVarianceFTS.train"><a class="viewcode-back" href="../../../../pyFTS.models.nonstationary.html#pyFTS.models.nonstationary.cvfts.ConditionalVarianceFTS.train">[docs]</a>    <span class="k">def</span> <span class="nf">train</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">ndata</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">):</span>

        <span class="n">tmpdata</span> <span class="o">=</span> <span class="n">common</span><span class="o">.</span><span class="n">fuzzySeries</span><span class="p">(</span><span class="n">ndata</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span class="n">sets</span><span class="p">,</span>
                                     <span class="bp">self</span><span class="o">.</span><span class="n">partitioner</span><span class="o">.</span><span class="n">ordered_sets</span><span class="p">,</span>
                                     <span class="n">method</span><span class="o">=</span><span class="s1">&#39;fuzzy&#39;</span><span class="p">,</span> <span class="n">const_t</span><span class="o">=</span><span class="mi">0</span><span class="p">)</span>
        <span class="n">flrs</span> <span class="o">=</span> <span class="n">FLR</span><span class="o">.</span><span class="n">generate_non_recurrent_flrs</span><span class="p">(</span><span class="n">tmpdata</span><span class="p">)</span>
        <span class="bp">self</span><span class="o">.</span><span class="n">generate_flrg</span><span class="p">(</span><span class="n">flrs</span><span class="p">)</span>

        <span class="bp">self</span><span class="o">.</span><span class="n">forecasts</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">forecast</span><span class="p">(</span><span class="n">ndata</span><span class="p">,</span> <span class="n">no_update</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
        <span class="bp">self</span><span class="o">.</span><span class="n">residuals</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">array</span><span class="p">(</span><span class="n">ndata</span><span class="p">[</span><span class="mi">1</span><span class="p">:])</span> <span class="o">-</span> <span class="n">np</span><span class="o">.</span><span class="n">array</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">forecasts</span><span class="p">[:</span><span class="o">-</span><span class="mi">1</span><span class="p">])</span>

        <span class="bp">self</span><span class="o">.</span><span class="n">variance_residual</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">var</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">residuals</span><span class="p">)</span> <span class="c1"># np.max(self.residuals</span>
        <span class="bp">self</span><span class="o">.</span><span class="n">mean_residual</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">mean</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">residuals</span><span class="p">)</span>

        <span class="bp">self</span><span class="o">.</span><span class="n">residuals</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">residuals</span><span class="p">[</span><span class="o">-</span><span class="bp">self</span><span class="o">.</span><span class="n">memory_window</span><span class="p">:]</span><span class="o">.</span><span class="n">tolist</span><span class="p">()</span>
        <span class="bp">self</span><span class="o">.</span><span class="n">forecasts</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">forecasts</span><span class="p">[</span><span class="o">-</span><span class="bp">self</span><span class="o">.</span><span class="n">memory_window</span><span class="p">:]</span>
        <span class="bp">self</span><span class="o">.</span><span class="n">inputs</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">array</span><span class="p">(</span><span class="n">ndata</span><span class="p">[</span><span class="o">-</span><span class="bp">self</span><span class="o">.</span><span class="n">memory_window</span><span class="p">:])</span><span class="o">.</span><span class="n">tolist</span><span class="p">()</span></div>


<div class="viewcode-block" id="ConditionalVarianceFTS.generate_flrg"><a class="viewcode-back" href="../../../../pyFTS.models.nonstationary.html#pyFTS.models.nonstationary.cvfts.ConditionalVarianceFTS.generate_flrg">[docs]</a>    <span class="k">def</span> <span class="nf">generate_flrg</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">flrs</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">):</span>
        <span class="k">for</span> <span class="n">flr</span> <span class="ow">in</span> <span class="n">flrs</span><span class="p">:</span>
            <span class="k">if</span> <span class="n">flr</span><span class="o">.</span><span class="n">LHS</span><span class="o">.</span><span class="n">name</span> <span class="ow">in</span> <span class="bp">self</span><span class="o">.</span><span class="n">flrgs</span><span class="p">:</span>
                <span class="bp">self</span><span class="o">.</span><span class="n">flrgs</span><span class="p">[</span><span class="n">flr</span><span class="o">.</span><span class="n">LHS</span><span class="o">.</span><span class="n">name</span><span class="p">]</span><span class="o">.</span><span class="n">append_rhs</span><span class="p">(</span><span class="n">flr</span><span class="o">.</span><span class="n">RHS</span><span class="o">.</span><span class="n">name</span><span class="p">)</span>
            <span class="k">else</span><span class="p">:</span>
                <span class="bp">self</span><span class="o">.</span><span class="n">flrgs</span><span class="p">[</span><span class="n">flr</span><span class="o">.</span><span class="n">LHS</span><span class="o">.</span><span class="n">name</span><span class="p">]</span> <span class="o">=</span> <span class="n">nsfts</span><span class="o">.</span><span class="n">ConventionalNonStationaryFLRG</span><span class="p">(</span><span class="n">flr</span><span class="o">.</span><span class="n">LHS</span><span class="o">.</span><span class="n">name</span><span class="p">)</span>
                <span class="bp">self</span><span class="o">.</span><span class="n">flrgs</span><span class="p">[</span><span class="n">flr</span><span class="o">.</span><span class="n">LHS</span><span class="o">.</span><span class="n">name</span><span class="p">]</span><span class="o">.</span><span class="n">append_rhs</span><span class="p">(</span><span class="n">flr</span><span class="o">.</span><span class="n">RHS</span><span class="o">.</span><span class="n">name</span><span class="p">)</span></div>


    <span class="k">def</span> <span class="nf">_smooth</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">a</span><span class="p">):</span>
        <span class="k">return</span> <span class="o">.</span><span class="mi">1</span> <span class="o">*</span> <span class="n">a</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span> <span class="o">+</span> <span class="o">.</span><span class="mi">3</span> <span class="o">*</span> <span class="n">a</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span> <span class="o">+</span> <span class="o">.</span><span class="mi">6</span> <span class="o">*</span> <span class="n">a</span><span class="p">[</span><span class="mi">2</span><span class="p">]</span>

<div class="viewcode-block" id="ConditionalVarianceFTS.perturbation_factors"><a class="viewcode-back" href="../../../../pyFTS.models.nonstationary.html#pyFTS.models.nonstationary.cvfts.ConditionalVarianceFTS.perturbation_factors">[docs]</a>    <span class="k">def</span> <span class="nf">perturbation_factors</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">data</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">):</span>
        <span class="n">npart</span> <span class="o">=</span> <span class="nb">len</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">partitioner</span><span class="o">.</span><span class="n">sets</span><span class="p">)</span>
        <span class="n">_max</span> <span class="o">=</span> <span class="mi">0</span>
        <span class="n">_min</span> <span class="o">=</span> <span class="mi">0</span>
        <span class="k">if</span> <span class="n">data</span> <span class="o">&lt;</span> <span class="bp">self</span><span class="o">.</span><span class="n">original_min</span><span class="p">:</span>
            <span class="n">_min</span> <span class="o">=</span> <span class="n">data</span> <span class="o">-</span> <span class="bp">self</span><span class="o">.</span><span class="n">original_min</span> <span class="k">if</span> <span class="n">data</span> <span class="o">&lt;</span> <span class="mi">0</span> <span class="k">else</span> <span class="bp">self</span><span class="o">.</span><span class="n">original_min</span> <span class="o">-</span> <span class="n">data</span>
        <span class="k">elif</span> <span class="n">data</span> <span class="o">&gt;</span> <span class="bp">self</span><span class="o">.</span><span class="n">original_max</span><span class="p">:</span>
            <span class="n">_max</span> <span class="o">=</span> <span class="n">data</span> <span class="o">-</span> <span class="bp">self</span><span class="o">.</span><span class="n">original_max</span> <span class="k">if</span> <span class="n">data</span> <span class="o">&gt;</span> <span class="mi">0</span> <span class="k">else</span> <span class="bp">self</span><span class="o">.</span><span class="n">original_max</span> <span class="o">-</span> <span class="n">data</span>
        <span class="bp">self</span><span class="o">.</span><span class="n">min_stack</span><span class="o">.</span><span class="n">pop</span><span class="p">(</span><span class="mi">2</span><span class="p">)</span>
        <span class="bp">self</span><span class="o">.</span><span class="n">min_stack</span><span class="o">.</span><span class="n">insert</span><span class="p">(</span><span class="mi">0</span><span class="p">,</span> <span class="n">_min</span><span class="p">)</span>
        <span class="n">_min</span> <span class="o">=</span> <span class="nb">min</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">min_stack</span><span class="p">)</span>
        <span class="bp">self</span><span class="o">.</span><span class="n">max_stack</span><span class="o">.</span><span class="n">pop</span><span class="p">(</span><span class="mi">2</span><span class="p">)</span>
        <span class="bp">self</span><span class="o">.</span><span class="n">max_stack</span><span class="o">.</span><span class="n">insert</span><span class="p">(</span><span class="mi">0</span><span class="p">,</span> <span class="n">_max</span><span class="p">)</span>
        <span class="n">_max</span> <span class="o">=</span> <span class="nb">max</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">max_stack</span><span class="p">)</span>

        <span class="n">_range</span> <span class="o">=</span> <span class="p">(</span><span class="n">_max</span> <span class="o">-</span> <span class="n">_min</span><span class="p">)</span><span class="o">/</span><span class="mi">2</span>

        <span class="n">translate</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">linspace</span><span class="p">(</span><span class="n">_min</span><span class="p">,</span> <span class="n">_max</span><span class="p">,</span> <span class="n">npart</span><span class="p">)</span>

        <span class="n">var</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">std</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">residuals</span><span class="p">)</span>

        <span class="n">var</span> <span class="o">=</span> <span class="mi">0</span> <span class="k">if</span> <span class="n">var</span> <span class="o">&lt;</span> <span class="mi">1</span> <span class="k">else</span> <span class="n">var</span>

        <span class="n">loc</span> <span class="o">=</span> <span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">mean_residual</span> <span class="o">+</span> <span class="n">np</span><span class="o">.</span><span class="n">mean</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">residuals</span><span class="p">))</span>

        <span class="n">location</span> <span class="o">=</span> <span class="p">[</span><span class="n">_range</span> <span class="o">+</span> <span class="n">w</span> <span class="o">+</span> <span class="n">loc</span> <span class="o">+</span> <span class="n">k</span> <span class="k">for</span> <span class="n">k</span> <span class="ow">in</span> <span class="n">np</span><span class="o">.</span><span class="n">linspace</span><span class="p">(</span><span class="o">-</span><span class="n">var</span><span class="p">,</span><span class="n">var</span><span class="p">,</span> <span class="n">npart</span><span class="p">)</span> <span class="k">for</span> <span class="n">w</span> <span class="ow">in</span> <span class="n">translate</span><span class="p">]</span>

        <span class="n">scale</span> <span class="o">=</span> <span class="p">[</span><span class="nb">abs</span><span class="p">(</span><span class="n">location</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span> <span class="o">-</span> <span class="n">location</span><span class="p">[</span><span class="mi">2</span><span class="p">])]</span>
        <span class="n">scale</span><span class="o">.</span><span class="n">extend</span><span class="p">([</span><span class="nb">abs</span><span class="p">(</span><span class="n">location</span><span class="p">[</span><span class="n">k</span> <span class="o">-</span> <span class="mi">1</span><span class="p">]</span> <span class="o">-</span> <span class="n">location</span><span class="p">[</span><span class="n">k</span> <span class="o">+</span> <span class="mi">1</span><span class="p">])</span> <span class="k">for</span> <span class="n">k</span> <span class="ow">in</span> <span class="n">np</span><span class="o">.</span><span class="n">arange</span><span class="p">(</span><span class="mi">1</span><span class="p">,</span> <span class="n">npart</span><span class="p">)])</span>
        <span class="n">scale</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="nb">abs</span><span class="p">(</span><span class="n">location</span><span class="p">[</span><span class="o">-</span><span class="mi">1</span><span class="p">]</span> <span class="o">-</span> <span class="n">location</span><span class="p">[</span><span class="o">-</span><span class="mi">3</span><span class="p">]))</span>

        <span class="n">perturb</span> <span class="o">=</span> <span class="p">[[</span><span class="n">location</span><span class="p">[</span><span class="n">k</span><span class="p">],</span> <span class="n">scale</span><span class="p">[</span><span class="n">k</span><span class="p">]]</span> <span class="k">for</span> <span class="n">k</span> <span class="ow">in</span> <span class="n">np</span><span class="o">.</span><span class="n">arange</span><span class="p">(</span><span class="n">npart</span><span class="p">)]</span>

        <span class="k">return</span> <span class="n">perturb</span></div>

<div class="viewcode-block" id="ConditionalVarianceFTS.perturbation_factors__old"><a class="viewcode-back" href="../../../../pyFTS.models.nonstationary.html#pyFTS.models.nonstationary.cvfts.ConditionalVarianceFTS.perturbation_factors__old">[docs]</a>    <span class="k">def</span> <span class="nf">perturbation_factors__old</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">data</span><span class="p">):</span>
        <span class="n">npart</span> <span class="o">=</span> <span class="nb">len</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">partitioner</span><span class="o">.</span><span class="n">sets</span><span class="p">)</span>
        <span class="n">_max</span> <span class="o">=</span> <span class="mi">0</span>
        <span class="n">_min</span> <span class="o">=</span> <span class="mi">0</span>
        <span class="k">if</span> <span class="n">data</span> <span class="o">&lt;</span> <span class="bp">self</span><span class="o">.</span><span class="n">original_min</span><span class="p">:</span>
            <span class="n">_min</span> <span class="o">=</span> <span class="n">data</span> <span class="o">-</span> <span class="bp">self</span><span class="o">.</span><span class="n">original_min</span> <span class="k">if</span> <span class="n">data</span> <span class="o">&lt;</span> <span class="mi">0</span> <span class="k">else</span> <span class="bp">self</span><span class="o">.</span><span class="n">original_min</span> <span class="o">-</span> <span class="n">data</span>
        <span class="k">elif</span> <span class="n">data</span> <span class="o">&gt;</span> <span class="bp">self</span><span class="o">.</span><span class="n">original_max</span><span class="p">:</span>
            <span class="n">_max</span> <span class="o">=</span> <span class="n">data</span> <span class="o">-</span> <span class="bp">self</span><span class="o">.</span><span class="n">original_max</span> <span class="k">if</span> <span class="n">data</span> <span class="o">&gt;</span> <span class="mi">0</span> <span class="k">else</span> <span class="bp">self</span><span class="o">.</span><span class="n">original_max</span> <span class="o">-</span> <span class="n">data</span>
        <span class="bp">self</span><span class="o">.</span><span class="n">min_stack</span><span class="o">.</span><span class="n">pop</span><span class="p">(</span><span class="mi">2</span><span class="p">)</span>
        <span class="bp">self</span><span class="o">.</span><span class="n">min_stack</span><span class="o">.</span><span class="n">insert</span><span class="p">(</span><span class="mi">0</span><span class="p">,</span><span class="n">_min</span><span class="p">)</span>
        <span class="n">_min</span> <span class="o">=</span> <span class="nb">min</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">min_stack</span><span class="p">)</span>
        <span class="bp">self</span><span class="o">.</span><span class="n">max_stack</span><span class="o">.</span><span class="n">pop</span><span class="p">(</span><span class="mi">2</span><span class="p">)</span>
        <span class="bp">self</span><span class="o">.</span><span class="n">max_stack</span><span class="o">.</span><span class="n">insert</span><span class="p">(</span><span class="mi">0</span><span class="p">,</span> <span class="n">_max</span><span class="p">)</span>
        <span class="n">_max</span> <span class="o">=</span> <span class="nb">max</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">max_stack</span><span class="p">)</span>

        <span class="n">location</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">linspace</span><span class="p">(</span><span class="n">_min</span><span class="p">,</span> <span class="n">_max</span><span class="p">,</span> <span class="n">npart</span><span class="p">)</span>
        <span class="n">scale</span> <span class="o">=</span> <span class="p">[</span><span class="nb">abs</span><span class="p">(</span><span class="n">location</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span> <span class="o">-</span> <span class="n">location</span><span class="p">[</span><span class="mi">2</span><span class="p">])]</span>
        <span class="n">scale</span><span class="o">.</span><span class="n">extend</span><span class="p">([</span><span class="nb">abs</span><span class="p">(</span><span class="n">location</span><span class="p">[</span><span class="n">k</span><span class="o">-</span><span class="mi">1</span><span class="p">]</span> <span class="o">-</span> <span class="n">location</span><span class="p">[</span><span class="n">k</span><span class="o">+</span><span class="mi">1</span><span class="p">])</span> <span class="k">for</span> <span class="n">k</span> <span class="ow">in</span> <span class="n">np</span><span class="o">.</span><span class="n">arange</span><span class="p">(</span><span class="mi">1</span><span class="p">,</span> <span class="n">npart</span><span class="p">)])</span>
        <span class="n">scale</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="nb">abs</span><span class="p">(</span><span class="n">location</span><span class="p">[</span><span class="o">-</span><span class="mi">1</span><span class="p">]</span> <span class="o">-</span> <span class="n">location</span><span class="p">[</span><span class="o">-</span><span class="mi">3</span><span class="p">]))</span>

        <span class="n">perturb</span> <span class="o">=</span> <span class="p">[[</span><span class="n">location</span><span class="p">[</span><span class="n">k</span><span class="p">],</span> <span class="n">scale</span><span class="p">[</span><span class="n">k</span><span class="p">]]</span> <span class="k">for</span> <span class="n">k</span> <span class="ow">in</span> <span class="n">np</span><span class="o">.</span><span class="n">arange</span><span class="p">(</span><span class="mi">0</span><span class="p">,</span> <span class="n">npart</span><span class="p">)]</span>

        <span class="k">return</span> <span class="n">perturb</span></div>

    <span class="k">def</span> <span class="nf">_fsset_key</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">ix</span><span class="p">):</span>
        <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">partitioner</span><span class="o">.</span><span class="n">ordered_sets</span><span class="p">[</span><span class="n">ix</span><span class="p">]</span>

    <span class="k">def</span> <span class="nf">_affected_sets</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">sample</span><span class="p">,</span> <span class="n">perturb</span><span class="p">):</span>

        <span class="n">affected_sets</span> <span class="o">=</span> <span class="p">[[</span><span class="n">ct</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span class="n">sets</span><span class="p">[</span><span class="bp">self</span><span class="o">.</span><span class="n">_fsset_key</span><span class="p">(</span><span class="n">ct</span><span class="p">)]</span><span class="o">.</span><span class="n">membership</span><span class="p">(</span><span class="n">sample</span><span class="p">,</span> <span class="n">perturb</span><span class="p">[</span><span class="n">ct</span><span class="p">])]</span>
                         <span class="k">for</span> <span class="n">ct</span> <span class="ow">in</span> <span class="n">np</span><span class="o">.</span><span class="n">arange</span><span class="p">(</span><span class="nb">len</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">partitioner</span><span class="o">.</span><span class="n">sets</span><span class="p">))</span>
                         <span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">sets</span><span class="p">[</span><span class="bp">self</span><span class="o">.</span><span class="n">_fsset_key</span><span class="p">(</span><span class="n">ct</span><span class="p">)]</span><span class="o">.</span><span class="n">membership</span><span class="p">(</span><span class="n">sample</span><span class="p">,</span> <span class="n">perturb</span><span class="p">[</span><span class="n">ct</span><span class="p">])</span> <span class="o">&gt;</span> <span class="mf">0.0</span><span class="p">]</span>

        <span class="k">if</span> <span class="nb">len</span><span class="p">(</span><span class="n">affected_sets</span><span class="p">)</span> <span class="o">==</span> <span class="mi">0</span><span class="p">:</span>

            <span class="k">if</span> <span class="n">sample</span> <span class="o">&lt;</span> <span class="bp">self</span><span class="o">.</span><span class="n">partitioner</span><span class="o">.</span><span class="n">lower_set</span><span class="p">()</span><span class="o">.</span><span class="n">get_lower</span><span class="p">(</span><span class="n">perturb</span><span class="p">[</span><span class="mi">0</span><span class="p">]):</span>
                <span class="n">affected_sets</span><span class="o">.</span><span class="n">append</span><span class="p">([</span><span class="mi">0</span><span class="p">,</span> <span class="mi">1</span><span class="p">])</span>
            <span class="k">elif</span> <span class="n">sample</span> <span class="o">&gt;</span> <span class="bp">self</span><span class="o">.</span><span class="n">partitioner</span><span class="o">.</span><span class="n">upper_set</span><span class="p">()</span><span class="o">.</span><span class="n">get_upper</span><span class="p">(</span><span class="n">perturb</span><span class="p">[</span><span class="o">-</span><span class="mi">1</span><span class="p">]):</span>
                <span class="n">affected_sets</span><span class="o">.</span><span class="n">append</span><span class="p">([</span><span class="nb">len</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">sets</span><span class="p">)</span> <span class="o">-</span> <span class="mi">1</span><span class="p">,</span> <span class="mi">1</span><span class="p">])</span>

        <span class="k">return</span> <span class="n">affected_sets</span>

<div class="viewcode-block" id="ConditionalVarianceFTS.forecast"><a class="viewcode-back" href="../../../../pyFTS.models.nonstationary.html#pyFTS.models.nonstationary.cvfts.ConditionalVarianceFTS.forecast">[docs]</a>    <span class="k">def</span> <span class="nf">forecast</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">ndata</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">):</span>
        <span class="n">l</span> <span class="o">=</span> <span class="nb">len</span><span class="p">(</span><span class="n">ndata</span><span class="p">)</span>

        <span class="n">ret</span> <span class="o">=</span> <span class="p">[]</span>

        <span class="n">no_update</span> <span class="o">=</span> <span class="n">kwargs</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="s2">&quot;no_update&quot;</span><span class="p">,</span><span class="kc">False</span><span class="p">)</span>

        <span class="k">for</span> <span class="n">k</span> <span class="ow">in</span> <span class="n">np</span><span class="o">.</span><span class="n">arange</span><span class="p">(</span><span class="mi">0</span><span class="p">,</span> <span class="n">l</span><span class="p">):</span>

            <span class="n">sample</span> <span class="o">=</span> <span class="n">ndata</span><span class="p">[</span><span class="n">k</span><span class="p">]</span>

            <span class="k">if</span> <span class="ow">not</span> <span class="n">no_update</span><span class="p">:</span>
                <span class="n">perturb</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">perturbation_factors</span><span class="p">(</span><span class="n">sample</span><span class="p">)</span>
            <span class="k">else</span><span class="p">:</span>
                <span class="n">perturb</span> <span class="o">=</span> <span class="p">[[</span><span class="mi">0</span><span class="p">,</span> <span class="mi">1</span><span class="p">]</span> <span class="k">for</span> <span class="n">k</span> <span class="ow">in</span> <span class="n">np</span><span class="o">.</span><span class="n">arange</span><span class="p">(</span><span class="nb">len</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">partitioner</span><span class="o">.</span><span class="n">sets</span><span class="p">))]</span>

            <span class="n">affected_sets</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">_affected_sets</span><span class="p">(</span><span class="n">sample</span><span class="p">,</span> <span class="n">perturb</span><span class="p">)</span>

            <span class="n">numerator</span> <span class="o">=</span> <span class="p">[]</span>
            <span class="n">denominator</span> <span class="o">=</span> <span class="p">[]</span>

            <span class="k">if</span> <span class="nb">len</span><span class="p">(</span><span class="n">affected_sets</span><span class="p">)</span> <span class="o">==</span> <span class="mi">1</span><span class="p">:</span>
                <span class="n">ix</span> <span class="o">=</span> <span class="n">affected_sets</span><span class="p">[</span><span class="mi">0</span><span class="p">][</span><span class="mi">0</span><span class="p">]</span>
                <span class="n">aset</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">partitioner</span><span class="o">.</span><span class="n">ordered_sets</span><span class="p">[</span><span class="n">ix</span><span class="p">]</span>
                <span class="k">if</span> <span class="n">aset</span> <span class="ow">in</span> <span class="bp">self</span><span class="o">.</span><span class="n">flrgs</span><span class="p">:</span>
                    <span class="n">numerator</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">flrgs</span><span class="p">[</span><span class="n">aset</span><span class="p">]</span><span class="o">.</span><span class="n">get_midpoint</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">sets</span><span class="p">,</span> <span class="n">perturb</span><span class="p">[</span><span class="n">ix</span><span class="p">]))</span>
                <span class="k">else</span><span class="p">:</span>
                    <span class="n">fuzzy_set</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">sets</span><span class="p">[</span><span class="n">aset</span><span class="p">]</span>
                    <span class="n">numerator</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">fuzzy_set</span><span class="o">.</span><span class="n">get_midpoint</span><span class="p">(</span><span class="n">perturb</span><span class="p">[</span><span class="n">ix</span><span class="p">]))</span>
                <span class="n">denominator</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="mi">1</span><span class="p">)</span>
            <span class="k">else</span><span class="p">:</span>
                <span class="k">for</span> <span class="n">aset</span> <span class="ow">in</span> <span class="n">affected_sets</span><span class="p">:</span>
                    <span class="n">ix</span> <span class="o">=</span> <span class="n">aset</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span>
                    <span class="n">fs</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">partitioner</span><span class="o">.</span><span class="n">ordered_sets</span><span class="p">[</span><span class="n">ix</span><span class="p">]</span>
                    <span class="n">tdisp</span> <span class="o">=</span> <span class="n">perturb</span><span class="p">[</span><span class="n">ix</span><span class="p">]</span>
                    <span class="k">if</span> <span class="n">fs</span> <span class="ow">in</span> <span class="bp">self</span><span class="o">.</span><span class="n">flrgs</span><span class="p">:</span>
                        <span class="n">numerator</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">flrgs</span><span class="p">[</span><span class="n">fs</span><span class="p">]</span><span class="o">.</span><span class="n">get_midpoint</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">sets</span><span class="p">,</span> <span class="n">tdisp</span><span class="p">)</span> <span class="o">*</span> <span class="n">aset</span><span class="p">[</span><span class="mi">1</span><span class="p">])</span>
                    <span class="k">else</span><span class="p">:</span>
                        <span class="n">fuzzy_set</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">sets</span><span class="p">[</span><span class="n">fs</span><span class="p">]</span>
                        <span class="n">numerator</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">fuzzy_set</span><span class="o">.</span><span class="n">get_midpoint</span><span class="p">(</span><span class="n">tdisp</span><span class="p">)</span> <span class="o">*</span> <span class="n">aset</span><span class="p">[</span><span class="mi">1</span><span class="p">])</span>
                    <span class="n">denominator</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">aset</span><span class="p">[</span><span class="mi">1</span><span class="p">])</span>

            <span class="k">if</span> <span class="nb">sum</span><span class="p">(</span><span class="n">denominator</span><span class="p">)</span> <span class="o">&gt;</span> <span class="mi">0</span><span class="p">:</span>
                <span class="n">pto</span> <span class="o">=</span> <span class="nb">sum</span><span class="p">(</span><span class="n">numerator</span><span class="p">)</span> <span class="o">/</span><span class="nb">sum</span><span class="p">(</span><span class="n">denominator</span><span class="p">)</span>
            <span class="k">else</span><span class="p">:</span>
                <span class="n">pto</span> <span class="o">=</span> <span class="nb">sum</span><span class="p">(</span><span class="n">numerator</span><span class="p">)</span>

            <span class="n">ret</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">pto</span><span class="p">)</span>

            <span class="k">if</span> <span class="ow">not</span> <span class="n">no_update</span><span class="p">:</span>
                <span class="bp">self</span><span class="o">.</span><span class="n">forecasts</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">pto</span><span class="p">)</span>
                <span class="bp">self</span><span class="o">.</span><span class="n">residuals</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">inputs</span><span class="p">[</span><span class="o">-</span><span class="mi">1</span><span class="p">]</span> <span class="o">-</span> <span class="bp">self</span><span class="o">.</span><span class="n">forecasts</span><span class="p">[</span><span class="o">-</span><span class="mi">1</span><span class="p">])</span>
                <span class="bp">self</span><span class="o">.</span><span class="n">inputs</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">sample</span><span class="p">)</span>

                <span class="bp">self</span><span class="o">.</span><span class="n">inputs</span><span class="o">.</span><span class="n">pop</span><span class="p">(</span><span class="mi">0</span><span class="p">)</span>
                <span class="bp">self</span><span class="o">.</span><span class="n">forecasts</span><span class="o">.</span><span class="n">pop</span><span class="p">(</span><span class="mi">0</span><span class="p">)</span>
                <span class="bp">self</span><span class="o">.</span><span class="n">residuals</span><span class="o">.</span><span class="n">pop</span><span class="p">(</span><span class="mi">0</span><span class="p">)</span>

        <span class="k">return</span> <span class="n">ret</span></div>


<div class="viewcode-block" id="ConditionalVarianceFTS.forecast_interval"><a class="viewcode-back" href="../../../../pyFTS.models.nonstationary.html#pyFTS.models.nonstationary.cvfts.ConditionalVarianceFTS.forecast_interval">[docs]</a>    <span class="k">def</span> <span class="nf">forecast_interval</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">ndata</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">):</span>
        <span class="n">l</span> <span class="o">=</span> <span class="nb">len</span><span class="p">(</span><span class="n">ndata</span><span class="p">)</span>

        <span class="n">ret</span> <span class="o">=</span> <span class="p">[]</span>

        <span class="k">for</span> <span class="n">k</span> <span class="ow">in</span> <span class="n">np</span><span class="o">.</span><span class="n">arange</span><span class="p">(</span><span class="mi">0</span><span class="p">,</span> <span class="n">l</span><span class="p">):</span>

            <span class="n">sample</span> <span class="o">=</span> <span class="n">ndata</span><span class="p">[</span><span class="n">k</span><span class="p">]</span>

            <span class="n">perturb</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">perturbation_factors</span><span class="p">(</span><span class="n">sample</span><span class="p">)</span>

            <span class="n">affected_sets</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">_affected_sets</span><span class="p">(</span><span class="n">sample</span><span class="p">,</span> <span class="n">perturb</span><span class="p">)</span>

            <span class="n">upper</span> <span class="o">=</span> <span class="p">[]</span>
            <span class="n">lower</span> <span class="o">=</span> <span class="p">[]</span>

            <span class="k">if</span> <span class="nb">len</span><span class="p">(</span><span class="n">affected_sets</span><span class="p">)</span> <span class="o">==</span> <span class="mi">1</span><span class="p">:</span>
                <span class="n">ix</span> <span class="o">=</span> <span class="n">affected_sets</span><span class="p">[</span><span class="mi">0</span><span class="p">][</span><span class="mi">0</span><span class="p">]</span>
                <span class="n">aset</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">partitioner</span><span class="o">.</span><span class="n">ordered_sets</span><span class="p">[</span><span class="n">ix</span><span class="p">]</span>
                <span class="k">if</span> <span class="n">aset</span> <span class="ow">in</span> <span class="bp">self</span><span class="o">.</span><span class="n">flrgs</span><span class="p">:</span>
                    <span class="n">lower</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">flrgs</span><span class="p">[</span><span class="n">aset</span><span class="p">]</span><span class="o">.</span><span class="n">get_lower</span><span class="p">(</span><span class="n">perturb</span><span class="p">[</span><span class="n">ix</span><span class="p">]))</span>
                    <span class="n">upper</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">flrgs</span><span class="p">[</span><span class="n">aset</span><span class="p">]</span><span class="o">.</span><span class="n">get_upper</span><span class="p">(</span><span class="n">perturb</span><span class="p">[</span><span class="n">ix</span><span class="p">]))</span>
                <span class="k">else</span><span class="p">:</span>
                    <span class="n">fuzzy_set</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">sets</span><span class="p">[</span><span class="n">aset</span><span class="p">]</span>
                    <span class="n">lower</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">fuzzy_set</span><span class="o">.</span><span class="n">get_lower</span><span class="p">(</span><span class="n">perturb</span><span class="p">[</span><span class="n">ix</span><span class="p">]))</span>
                    <span class="n">upper</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">fuzzy_set</span><span class="o">.</span><span class="n">get_upper</span><span class="p">(</span><span class="n">perturb</span><span class="p">[</span><span class="n">ix</span><span class="p">]))</span>
            <span class="k">else</span><span class="p">:</span>
                <span class="k">for</span> <span class="n">aset</span> <span class="ow">in</span> <span class="n">affected_sets</span><span class="p">:</span>
                    <span class="n">ix</span> <span class="o">=</span> <span class="n">aset</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span>
                    <span class="n">fs</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">partitioner</span><span class="o">.</span><span class="n">ordered_sets</span><span class="p">[</span><span class="n">ix</span><span class="p">]</span>
                    <span class="n">tdisp</span> <span class="o">=</span> <span class="n">perturb</span><span class="p">[</span><span class="n">ix</span><span class="p">]</span>
                    <span class="k">if</span> <span class="n">fs</span> <span class="ow">in</span> <span class="bp">self</span><span class="o">.</span><span class="n">flrgs</span><span class="p">:</span>
                        <span class="n">lower</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">flrgs</span><span class="p">[</span><span class="n">fs</span><span class="p">]</span><span class="o">.</span><span class="n">get_lower</span><span class="p">(</span><span class="n">tdisp</span><span class="p">)</span> <span class="o">*</span> <span class="n">aset</span><span class="p">[</span><span class="mi">1</span><span class="p">])</span>
                        <span class="n">upper</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">flrgs</span><span class="p">[</span><span class="n">fs</span><span class="p">]</span><span class="o">.</span><span class="n">get_upper</span><span class="p">(</span><span class="n">tdisp</span><span class="p">)</span> <span class="o">*</span> <span class="n">aset</span><span class="p">[</span><span class="mi">1</span><span class="p">])</span>
                    <span class="k">else</span><span class="p">:</span>
                        <span class="n">fuzzy_set</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">sets</span><span class="p">[</span><span class="n">fs</span><span class="p">]</span>
                        <span class="n">lower</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">fuzzy_set</span><span class="o">.</span><span class="n">get_lower</span><span class="p">(</span><span class="n">tdisp</span><span class="p">)</span> <span class="o">*</span> <span class="n">aset</span><span class="p">[</span><span class="mi">1</span><span class="p">])</span>
                        <span class="n">upper</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">fuzzy_set</span><span class="o">.</span><span class="n">get_upper</span><span class="p">(</span><span class="n">tdisp</span><span class="p">)</span> <span class="o">*</span> <span class="n">aset</span><span class="p">[</span><span class="mi">1</span><span class="p">])</span>

            <span class="n">itvl</span> <span class="o">=</span> <span class="p">[</span><span class="nb">sum</span><span class="p">(</span><span class="n">lower</span><span class="p">),</span> <span class="nb">sum</span><span class="p">(</span><span class="n">upper</span><span class="p">)]</span>

            <span class="n">ret</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">itvl</span><span class="p">)</span>

        <span class="k">return</span> <span class="n">ret</span></div></div>
</pre></div>

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