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  <h1>Source code for macop.callbacks.MultiCheckpoint</h1><div class="highlight"><pre>
<span></span><span class="sd">&quot;&quot;&quot;Multi Checkpoint class implementation</span>
<span class="sd">&quot;&quot;&quot;</span>

<span class="c1"># main imports</span>
<span class="kn">import</span> <span class="nn">os</span>
<span class="kn">import</span> <span class="nn">logging</span>
<span class="kn">import</span> <span class="nn">numpy</span> <span class="k">as</span> <span class="nn">np</span>

<span class="c1"># module imports</span>
<span class="kn">from</span> <span class="nn">.Callback</span> <span class="kn">import</span> <span class="n">Callback</span>
<span class="kn">from</span> <span class="nn">..utils.color</span> <span class="kn">import</span> <span class="n">macop_text</span><span class="p">,</span> <span class="n">macop_line</span>


<div class="viewcode-block" id="MultiCheckpoint"><a class="viewcode-back" href="../../../macop/macop.callbacks.MultiCheckpoint.html#macop.callbacks.MultiCheckpoint.MultiCheckpoint">[docs]</a><span class="k">class</span> <span class="nc">MultiCheckpoint</span><span class="p">(</span><span class="n">Callback</span><span class="p">):</span>
    <span class="sd">&quot;&quot;&quot;</span>
<span class="sd">    MultiCheckpoint is used for loading previous computations and start again after loading checkpoint</span>

<span class="sd">    Attributes:</span>
<span class="sd">        algo: {Algorithm} -- main algorithm instance reference</span>
<span class="sd">        every: {int} -- checkpoint frequency used (based on number of evaluations)</span>
<span class="sd">        filepath: {str} -- file path where checkpoints will be saved</span>
<span class="sd">    &quot;&quot;&quot;</span>
<div class="viewcode-block" id="MultiCheckpoint.run"><a class="viewcode-back" href="../../../macop/macop.callbacks.MultiCheckpoint.html#macop.callbacks.MultiCheckpoint.MultiCheckpoint.run">[docs]</a>    <span class="k">def</span> <span class="nf">run</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
        <span class="sd">&quot;&quot;&quot;</span>
<span class="sd">        Check if necessary to do backup based on `every` variable</span>
<span class="sd">        &quot;&quot;&quot;</span>
        <span class="c1"># get current population</span>
        <span class="n">population</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">_algo</span><span class="o">.</span><span class="n">_population</span>

        <span class="n">currentEvaluation</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">_algo</span><span class="o">.</span><span class="n">getGlobalEvaluation</span><span class="p">()</span>

        <span class="c1"># backup if necessary</span>
        <span class="k">if</span> <span class="n">currentEvaluation</span> <span class="o">%</span> <span class="bp">self</span><span class="o">.</span><span class="n">_every</span> <span class="o">==</span> <span class="mi">0</span><span class="p">:</span>

            <span class="n">logging</span><span class="o">.</span><span class="n">info</span><span class="p">(</span><span class="s2">&quot;Checkpoint is done into &quot;</span> <span class="o">+</span> <span class="bp">self</span><span class="o">.</span><span class="n">_filepath</span><span class="p">)</span>

            <span class="k">with</span> <span class="nb">open</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">_filepath</span><span class="p">,</span> <span class="s1">&#39;w&#39;</span><span class="p">)</span> <span class="k">as</span> <span class="n">f</span><span class="p">:</span>

                <span class="k">for</span> <span class="n">solution</span> <span class="ow">in</span> <span class="n">population</span><span class="p">:</span>
                    <span class="n">solutionData</span> <span class="o">=</span> <span class="s2">&quot;&quot;</span>
                    <span class="n">solutionSize</span> <span class="o">=</span> <span class="nb">len</span><span class="p">(</span><span class="n">solution</span><span class="o">.</span><span class="n">_data</span><span class="p">)</span>

                    <span class="k">for</span> <span class="n">index</span><span class="p">,</span> <span class="n">val</span> <span class="ow">in</span> <span class="nb">enumerate</span><span class="p">(</span><span class="n">solution</span><span class="o">.</span><span class="n">_data</span><span class="p">):</span>
                        <span class="n">solutionData</span> <span class="o">+=</span> <span class="nb">str</span><span class="p">(</span><span class="n">val</span><span class="p">)</span>

                        <span class="k">if</span> <span class="n">index</span> <span class="o">&lt;</span> <span class="n">solutionSize</span> <span class="o">-</span> <span class="mi">1</span><span class="p">:</span>
                            <span class="n">solutionData</span> <span class="o">+=</span> <span class="s1">&#39; &#39;</span>

                    <span class="n">line</span> <span class="o">=</span> <span class="nb">str</span><span class="p">(</span><span class="n">currentEvaluation</span><span class="p">)</span> <span class="o">+</span> <span class="s1">&#39;;&#39;</span>

                    <span class="k">for</span> <span class="n">i</span> <span class="ow">in</span> <span class="nb">range</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">_algo</span><span class="o">.</span><span class="n">_evaluator</span><span class="p">)):</span>
                        <span class="n">line</span> <span class="o">+=</span> <span class="nb">str</span><span class="p">(</span><span class="n">solution</span><span class="o">.</span><span class="n">_scores</span><span class="p">[</span><span class="n">i</span><span class="p">])</span> <span class="o">+</span> <span class="s1">&#39;;&#39;</span>

                    <span class="n">line</span> <span class="o">+=</span> <span class="n">solutionData</span> <span class="o">+</span> <span class="s1">&#39;;</span><span class="se">\n</span><span class="s1">&#39;</span>

                    <span class="n">f</span><span class="o">.</span><span class="n">write</span><span class="p">(</span><span class="n">line</span><span class="p">)</span></div>

<div class="viewcode-block" id="MultiCheckpoint.load"><a class="viewcode-back" href="../../../macop/macop.callbacks.MultiCheckpoint.html#macop.callbacks.MultiCheckpoint.MultiCheckpoint.load">[docs]</a>    <span class="k">def</span> <span class="nf">load</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
        <span class="sd">&quot;&quot;&quot;</span>
<span class="sd">        Load backup lines as population and set algorithm state (population and pareto front) at this backup</span>
<span class="sd">        &quot;&quot;&quot;</span>
        <span class="k">if</span> <span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">exists</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">_filepath</span><span class="p">):</span>

            <span class="n">logging</span><span class="o">.</span><span class="n">info</span><span class="p">(</span><span class="s1">&#39;Load best solution from last checkpoint&#39;</span><span class="p">)</span>
            <span class="k">with</span> <span class="nb">open</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">_filepath</span><span class="p">)</span> <span class="k">as</span> <span class="n">f</span><span class="p">:</span>

                <span class="c1"># read data for each line</span>
                <span class="k">for</span> <span class="n">i</span><span class="p">,</span> <span class="n">line</span> <span class="ow">in</span> <span class="nb">enumerate</span><span class="p">(</span><span class="n">f</span><span class="o">.</span><span class="n">readlines</span><span class="p">()):</span>

                    <span class="n">data</span> <span class="o">=</span> <span class="n">line</span><span class="o">.</span><span class="n">replace</span><span class="p">(</span><span class="s1">&#39;;</span><span class="se">\n</span><span class="s1">&#39;</span><span class="p">,</span> <span class="s1">&#39;&#39;</span><span class="p">)</span><span class="o">.</span><span class="n">split</span><span class="p">(</span><span class="s1">&#39;;&#39;</span><span class="p">)</span>

                    <span class="c1"># only the first time</span>
                    <span class="k">if</span> <span class="n">i</span> <span class="o">==</span> <span class="mi">0</span><span class="p">:</span>
                        <span class="c1"># get evaluation  information</span>
                        <span class="n">globalEvaluation</span> <span class="o">=</span> <span class="nb">int</span><span class="p">(</span><span class="n">data</span><span class="p">[</span><span class="mi">0</span><span class="p">])</span>

                        <span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">_algo</span><span class="o">.</span><span class="n">getParent</span><span class="p">()</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">_algo</span><span class="o">.</span><span class="n">getParen</span><span class="p">()</span><span class="o">.</span><span class="n">_numberOfEvaluations</span> <span class="o">=</span> <span class="n">globalEvaluation</span>
                        <span class="k">else</span><span class="p">:</span>
                            <span class="bp">self</span><span class="o">.</span><span class="n">_algo</span><span class="o">.</span><span class="n">_numberOfEvaluations</span> <span class="o">=</span> <span class="n">globalEvaluation</span>

                    <span class="n">nObjectives</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">_algo</span><span class="o">.</span><span class="n">_evaluator</span><span class="p">)</span>
                    <span class="n">scores</span> <span class="o">=</span> <span class="p">[</span><span class="nb">float</span><span class="p">(</span><span class="n">s</span><span class="p">)</span> <span class="k">for</span> <span class="n">s</span> <span class="ow">in</span> <span class="n">data</span><span class="p">[</span><span class="mi">1</span><span class="p">:</span><span class="n">nObjectives</span> <span class="o">+</span> <span class="mi">1</span><span class="p">]]</span>

                    <span class="c1"># get best solution data information</span>
                    <span class="n">solutionData</span> <span class="o">=</span> <span class="nb">list</span><span class="p">(</span><span class="nb">map</span><span class="p">(</span><span class="nb">int</span><span class="p">,</span> <span class="n">data</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">split</span><span class="p">(</span><span class="s1">&#39; &#39;</span><span class="p">)))</span>

                    <span class="c1"># initialize and fill with data</span>
                    <span class="bp">self</span><span class="o">.</span><span class="n">_algo</span><span class="o">.</span><span class="n">_population</span><span class="p">[</span><span class="n">i</span><span class="p">]</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">_algo</span><span class="o">.</span><span class="n">_initializer</span><span class="p">()</span>
                    <span class="bp">self</span><span class="o">.</span><span class="n">_algo</span><span class="o">.</span><span class="n">_population</span><span class="p">[</span><span class="n">i</span><span class="p">]</span><span class="o">.</span><span class="n">_data</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">solutionData</span><span class="p">)</span>
                    <span class="bp">self</span><span class="o">.</span><span class="n">_algo</span><span class="o">.</span><span class="n">_population</span><span class="p">[</span><span class="n">i</span><span class="p">]</span><span class="o">.</span><span class="n">_scores</span> <span class="o">=</span> <span class="n">scores</span>

                    <span class="bp">self</span><span class="o">.</span><span class="n">_algo</span><span class="o">.</span><span class="n">_pfPop</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">_algo</span><span class="o">.</span><span class="n">_population</span><span class="p">[</span><span class="n">i</span><span class="p">])</span>

            <span class="nb">print</span><span class="p">(</span><span class="n">macop_line</span><span class="p">())</span>
            <span class="nb">print</span><span class="p">(</span><span class="n">macop_text</span><span class="p">(</span><span class="sa">f</span><span class="s1">&#39;Load of available population from `</span><span class="si">{</span><span class="bp">self</span><span class="o">.</span><span class="n">_filepath</span><span class="si">}</span><span class="s1">`&#39;</span><span class="p">))</span>
            <span class="nb">print</span><span class="p">(</span><span class="n">macop_text</span><span class="p">(</span><span class="sa">f</span><span class="s1">&#39;Restart algorithm from evaluation </span><span class="si">{</span><span class="bp">self</span><span class="o">.</span><span class="n">_algo</span><span class="o">.</span><span class="n">_numberOfEvaluations</span><span class="si">}</span><span class="s1">.&#39;</span><span class="p">))</span>

        <span class="k">else</span><span class="p">:</span>
            <span class="nb">print</span><span class="p">(</span><span class="n">macop_text</span><span class="p">(</span><span class="s1">&#39;No backup found... Start running algorithm from evaluation 0.&#39;</span><span class="p">))</span>
            <span class="n">logging</span><span class="o">.</span><span class="n">info</span><span class="p">(</span><span class="s2">&quot;Can&#39;t load backup... Backup filepath not valid in Checkpoint&quot;</span><span class="p">)</span>

        <span class="nb">print</span><span class="p">(</span><span class="n">macop_line</span><span class="p">())</span></div></div>
</pre></div>

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