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  <h1>Source code for macop.algorithms.Algorithm</h1><div class="highlight"><pre>
<span></span><span class="sd">&quot;&quot;&quot;Abstract Algorithm class used as basic algorithm implementation with some specific initialization</span>
<span class="sd">&quot;&quot;&quot;</span>

<span class="c1"># main imports</span>
<span class="kn">import</span> <span class="nn">logging</span>


<span class="c1"># Generic algorithm class</span>
<div class="viewcode-block" id="Algorithm"><a class="viewcode-back" href="../../../macop/macop.algorithms.Algorithm.html#macop.algorithms.Algorithm.Algorithm">[docs]</a><span class="k">class</span> <span class="nc">Algorithm</span><span class="p">():</span>
    <span class="sd">&quot;&quot;&quot;Algorithm class used as basic algorithm</span>

<span class="sd">    Attributes:</span>
<span class="sd">        initalizer: {function} -- basic function strategy to initialize solution</span>
<span class="sd">        evaluator: {function} -- basic function in order to obtained fitness (mono or multiple objectives)</span>
<span class="sd">        operators: {[Operator]} -- list of operator to use when launching algorithm</span>
<span class="sd">        policy: {Policy} -- Policy class implementation strategy to select operators</span>
<span class="sd">        validator: {function} -- basic function to check if solution is valid or not under some constraints</span>
<span class="sd">        maximise: {bool} -- specify kind of optimization problem </span>
<span class="sd">        currentSolution: {Solution} -- current solution managed for current evaluation</span>
<span class="sd">        bestSolution: {Solution} -- best solution found so far during running algorithm</span>
<span class="sd">        checkpoint: {Checkpoint} -- Checkpoint class implementation to keep track of algorithm and restart</span>
<span class="sd">        parent: {Algorithm} -- parent algorithm reference in case of inner Algorithm instance (optional)</span>
<span class="sd">    &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">_initalizer</span><span class="p">,</span>
                 <span class="n">_evaluator</span><span class="p">,</span>
                 <span class="n">_operators</span><span class="p">,</span>
                 <span class="n">_policy</span><span class="p">,</span>
                 <span class="n">_validator</span><span class="p">,</span>
                 <span class="n">_maximise</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span>
                 <span class="n">_parent</span><span class="o">=</span><span class="kc">None</span><span class="p">):</span>

        <span class="bp">self</span><span class="o">.</span><span class="n">initializer</span> <span class="o">=</span> <span class="n">_initalizer</span>
        <span class="bp">self</span><span class="o">.</span><span class="n">evaluator</span> <span class="o">=</span> <span class="n">_evaluator</span>
        <span class="bp">self</span><span class="o">.</span><span class="n">operators</span> <span class="o">=</span> <span class="n">_operators</span>
        <span class="bp">self</span><span class="o">.</span><span class="n">policy</span> <span class="o">=</span> <span class="n">_policy</span>
        <span class="bp">self</span><span class="o">.</span><span class="n">validator</span> <span class="o">=</span> <span class="n">_validator</span>
        <span class="bp">self</span><span class="o">.</span><span class="n">checkpoint</span> <span class="o">=</span> <span class="kc">None</span>
        <span class="bp">self</span><span class="o">.</span><span class="n">bestSolution</span> <span class="o">=</span> <span class="kc">None</span>

        <span class="c1"># other parameters</span>
        <span class="bp">self</span><span class="o">.</span><span class="n">parent</span> <span class="o">=</span> <span class="n">_parent</span>  <span class="c1"># parent algorithm if it&#39;s sub algorithm</span>
        <span class="c1">#self.maxEvaluations = 0 # by default</span>
        <span class="bp">self</span><span class="o">.</span><span class="n">maximise</span> <span class="o">=</span> <span class="n">_maximise</span>

        <span class="bp">self</span><span class="o">.</span><span class="n">initRun</span><span class="p">()</span>

<div class="viewcode-block" id="Algorithm.addCheckpoint"><a class="viewcode-back" href="../../../macop/macop.algorithms.Algorithm.html#macop.algorithms.Algorithm.Algorithm.addCheckpoint">[docs]</a>    <span class="k">def</span> <span class="nf">addCheckpoint</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">_class</span><span class="p">,</span> <span class="n">_every</span><span class="p">,</span> <span class="n">_filepath</span><span class="p">):</span>
        <span class="sd">&quot;&quot;&quot;Add checkpoint to algorithm specifying usefull parameters</span>

<span class="sd">        Attributes:</span>
<span class="sd">            _class: {class} -- Checkpoint class type</span>
<span class="sd">            _every: {int} -- checkpoint frequency based on evaluations</span>
<span class="sd">            _filepath: {str} -- file path where checkpoints will be saved</span>
<span class="sd">        &quot;&quot;&quot;</span>
        <span class="bp">self</span><span class="o">.</span><span class="n">checkpoint</span> <span class="o">=</span> <span class="n">_class</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">_every</span><span class="p">,</span> <span class="n">_filepath</span><span class="p">)</span></div>

<div class="viewcode-block" id="Algorithm.setCheckpoint"><a class="viewcode-back" href="../../../macop/macop.algorithms.Algorithm.html#macop.algorithms.Algorithm.Algorithm.setCheckpoint">[docs]</a>    <span class="k">def</span> <span class="nf">setCheckpoint</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">_checkpoint</span><span class="p">):</span>
        <span class="sd">&quot;&quot;&quot;Set checkpoint instance directly</span>

<span class="sd">        Attributes:</span>
<span class="sd">            _checkpoint: {Checkpoint} -- checkpoint instance</span>
<span class="sd">        &quot;&quot;&quot;</span>
        <span class="bp">self</span><span class="o">.</span><span class="n">checkpoint</span> <span class="o">=</span> <span class="n">_checkpoint</span></div>

<div class="viewcode-block" id="Algorithm.resume"><a class="viewcode-back" href="../../../macop/macop.algorithms.Algorithm.html#macop.algorithms.Algorithm.Algorithm.resume">[docs]</a>    <span class="k">def</span> <span class="nf">resume</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
        <span class="sd">&quot;&quot;&quot;Resume algorithm using checkpoint instance</span>

<span class="sd">        Raises:</span>
<span class="sd">            ValueError: No checkpoint initialize (use `addCheckpoint` or `setCheckpoint` is you want to use this process)</span>
<span class="sd">        &quot;&quot;&quot;</span>
        <span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">checkpoint</span> <span class="ow">is</span> <span class="kc">None</span><span class="p">:</span>
            <span class="k">raise</span> <span class="ne">ValueError</span><span class="p">(</span>
                <span class="s2">&quot;Need to `addCheckpoint` or `setCheckpoint` is you want to use this process&quot;</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="s1">&#39;Checkpoint loading is called&#39;</span><span class="p">)</span>
            <span class="bp">self</span><span class="o">.</span><span class="n">checkpoint</span><span class="o">.</span><span class="n">load</span><span class="p">()</span></div>

<div class="viewcode-block" id="Algorithm.initRun"><a class="viewcode-back" href="../../../macop/macop.algorithms.Algorithm.html#macop.algorithms.Algorithm.Algorithm.initRun">[docs]</a>    <span class="k">def</span> <span class="nf">initRun</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
        <span class="sd">&quot;&quot;&quot;</span>
<span class="sd">        Method which initialiazes or re-initializes the whole algorithm context: operators, current solution, best solution (by default current solution)</span>
<span class="sd">        &quot;&quot;&quot;</span>

        <span class="c1"># add track reference of algo into operator (keep an eye into best solution)</span>
        <span class="k">for</span> <span class="n">operator</span> <span class="ow">in</span> <span class="bp">self</span><span class="o">.</span><span class="n">operators</span><span class="p">:</span>
            <span class="n">operator</span><span class="o">.</span><span class="n">setAlgo</span><span class="p">(</span><span class="bp">self</span><span class="p">)</span>

        <span class="bp">self</span><span class="o">.</span><span class="n">currentSolution</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">initializer</span><span class="p">()</span>

        <span class="c1"># evaluate current solution</span>
        <span class="bp">self</span><span class="o">.</span><span class="n">currentSolution</span><span class="o">.</span><span class="n">evaluate</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">evaluator</span><span class="p">)</span>

        <span class="c1"># reinitialize policy</span>
        <span class="c1"># if self.parent is not None:</span>
        <span class="c1">#     self.policy = globals()[type(self.policy).__name__]()</span>

        <span class="c1"># keep in memory best known solution (current solution)</span>
        <span class="bp">self</span><span class="o">.</span><span class="n">bestSolution</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">currentSolution</span></div>

<div class="viewcode-block" id="Algorithm.increaseEvaluation"><a class="viewcode-back" href="../../../macop/macop.algorithms.Algorithm.html#macop.algorithms.Algorithm.Algorithm.increaseEvaluation">[docs]</a>    <span class="k">def</span> <span class="nf">increaseEvaluation</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
        <span class="sd">&quot;&quot;&quot;</span>
<span class="sd">        Increase number of evaluation once a solution is evaluated</span>
<span class="sd">        &quot;&quot;&quot;</span>
        <span class="bp">self</span><span class="o">.</span><span class="n">numberOfEvaluations</span> <span class="o">+=</span> <span class="mi">1</span>

        <span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">parent</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">parent</span><span class="o">.</span><span class="n">numberOfEvaluations</span> <span class="o">+=</span> <span class="mi">1</span></div>

<div class="viewcode-block" id="Algorithm.getGlobalEvaluation"><a class="viewcode-back" href="../../../macop/macop.algorithms.Algorithm.html#macop.algorithms.Algorithm.Algorithm.getGlobalEvaluation">[docs]</a>    <span class="k">def</span> <span class="nf">getGlobalEvaluation</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
        <span class="sd">&quot;&quot;&quot;Get the global number of evaluation (if inner algorithm)</span>

<span class="sd">        Returns:</span>
<span class="sd">            {int} -- current global number of evaluation</span>
<span class="sd">        &quot;&quot;&quot;</span>

        <span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">parent</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span><span class="p">:</span>
            <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">parent</span><span class="o">.</span><span class="n">numberOfEvaluations</span>

        <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">numberOfEvaluations</span></div>

<div class="viewcode-block" id="Algorithm.stop"><a class="viewcode-back" href="../../../macop/macop.algorithms.Algorithm.html#macop.algorithms.Algorithm.Algorithm.stop">[docs]</a>    <span class="k">def</span> <span class="nf">stop</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
        <span class="sd">&quot;&quot;&quot;</span>
<span class="sd">        Global stopping criteria (check for inner algorithm too)</span>
<span class="sd">        &quot;&quot;&quot;</span>
        <span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">parent</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span><span class="p">:</span>
            <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">parent</span><span class="o">.</span><span class="n">numberOfEvaluations</span> <span class="o">&gt;=</span> <span class="bp">self</span><span class="o">.</span><span class="n">parent</span><span class="o">.</span><span class="n">maxEvaluations</span> <span class="ow">or</span> <span class="bp">self</span><span class="o">.</span><span class="n">numberOfEvaluations</span> <span class="o">&gt;=</span> <span class="bp">self</span><span class="o">.</span><span class="n">maxEvaluations</span>

        <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">numberOfEvaluations</span> <span class="o">&gt;=</span> <span class="bp">self</span><span class="o">.</span><span class="n">maxEvaluations</span></div>

<div class="viewcode-block" id="Algorithm.evaluate"><a class="viewcode-back" href="../../../macop/macop.algorithms.Algorithm.html#macop.algorithms.Algorithm.Algorithm.evaluate">[docs]</a>    <span class="k">def</span> <span class="nf">evaluate</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">solution</span><span class="p">):</span>
        <span class="sd">&quot;&quot;&quot;</span>
<span class="sd">        Returns: </span>
<span class="sd">            fitness score of solution which is not already evaluated or changed</span>

<span class="sd">        Note: </span>
<span class="sd">            if multi-objective problem this method can be updated using array of `evaluator`</span>
<span class="sd">        &quot;&quot;&quot;</span>
        <span class="k">return</span> <span class="n">solution</span><span class="o">.</span><span class="n">evaluate</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">evaluator</span><span class="p">)</span></div>

<div class="viewcode-block" id="Algorithm.update"><a class="viewcode-back" href="../../../macop/macop.algorithms.Algorithm.html#macop.algorithms.Algorithm.Algorithm.update">[docs]</a>    <span class="k">def</span> <span class="nf">update</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">solution</span><span class="p">):</span>
        <span class="sd">&quot;&quot;&quot;</span>
<span class="sd">        Apply update function to solution using specific `policy`</span>

<span class="sd">        Check if solution is valid after modification and returns it</span>

<span class="sd">        Returns:</span>
<span class="sd">            {Solution} -- updated solution obtained by the selected operator</span>
<span class="sd">        &quot;&quot;&quot;</span>

        <span class="c1"># two parameters are sent if specific crossover solution are wished</span>
        <span class="n">sol</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">policy</span><span class="o">.</span><span class="n">apply</span><span class="p">(</span><span class="n">solution</span><span class="p">)</span>

        <span class="k">if</span> <span class="p">(</span><span class="n">sol</span><span class="o">.</span><span class="n">isValid</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">validator</span><span class="p">)):</span>
            <span class="k">return</span> <span class="n">sol</span>
        <span class="k">else</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;-- New solution is not valid </span><span class="si">%s</span><span class="s2">&quot;</span> <span class="o">%</span> <span class="n">sol</span><span class="p">)</span>
            <span class="k">return</span> <span class="n">solution</span></div>

<div class="viewcode-block" id="Algorithm.isBetter"><a class="viewcode-back" href="../../../macop/macop.algorithms.Algorithm.html#macop.algorithms.Algorithm.Algorithm.isBetter">[docs]</a>    <span class="k">def</span> <span class="nf">isBetter</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">solution</span><span class="p">):</span>
        <span class="sd">&quot;&quot;&quot;</span>
<span class="sd">        Check if solution is better than best found</span>

<span class="sd">        Returns:</span>
<span class="sd">            {bool} -- `True` if better</span>
<span class="sd">        &quot;&quot;&quot;</span>
        <span class="c1"># depending of problem to solve (maximizing or minimizing)</span>
        <span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">maximise</span><span class="p">:</span>
            <span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">evaluate</span><span class="p">(</span><span class="n">solution</span><span class="p">)</span> <span class="o">&gt;</span> <span class="bp">self</span><span class="o">.</span><span class="n">bestSolution</span><span class="o">.</span><span class="n">fitness</span><span class="p">():</span>
                <span class="k">return</span> <span class="kc">True</span>
        <span class="k">else</span><span class="p">:</span>
            <span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">evaluate</span><span class="p">(</span><span class="n">solution</span><span class="p">)</span> <span class="o">&lt;</span> <span class="bp">self</span><span class="o">.</span><span class="n">bestSolution</span><span class="o">.</span><span class="n">fitness</span><span class="p">():</span>
                <span class="k">return</span> <span class="kc">True</span>

        <span class="c1"># by default</span>
        <span class="k">return</span> <span class="kc">False</span></div>

<div class="viewcode-block" id="Algorithm.run"><a class="viewcode-back" href="../../../macop/macop.algorithms.Algorithm.html#macop.algorithms.Algorithm.Algorithm.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="n">_evaluations</span><span class="p">):</span>
        <span class="sd">&quot;&quot;&quot;</span>
<span class="sd">        Run the specific algorithm following number of evaluations to find optima</span>
<span class="sd">        &quot;&quot;&quot;</span>

        <span class="bp">self</span><span class="o">.</span><span class="n">maxEvaluations</span> <span class="o">=</span> <span class="n">_evaluations</span>

        <span class="bp">self</span><span class="o">.</span><span class="n">initRun</span><span class="p">()</span>

        <span class="c1"># check if global evaluation is used or not</span>
        <span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">parent</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span> <span class="ow">and</span> <span class="bp">self</span><span class="o">.</span><span class="n">getGlobalEvaluation</span><span class="p">()</span> <span class="o">!=</span> <span class="mi">0</span><span class="p">:</span>

            <span class="c1"># init number evaluations of inner algorithm depending of globalEvaluation</span>
            <span class="c1"># allows to restart from `checkpoint` last evaluation into inner algorithm</span>
            <span class="n">rest</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">getGlobalEvaluation</span><span class="p">()</span> <span class="o">%</span> <span class="bp">self</span><span class="o">.</span><span class="n">maxEvaluations</span>
            <span class="bp">self</span><span class="o">.</span><span class="n">numberOfEvaluations</span> <span class="o">=</span> <span class="n">rest</span>

        <span class="k">else</span><span class="p">:</span>
            <span class="bp">self</span><span class="o">.</span><span class="n">numberOfEvaluations</span> <span class="o">=</span> <span class="mi">0</span>

        <span class="n">logging</span><span class="o">.</span><span class="n">info</span><span class="p">(</span><span class="s2">&quot;Run </span><span class="si">%s</span><span class="s2"> with </span><span class="si">%s</span><span class="s2"> evaluations&quot;</span> <span class="o">%</span>
                     <span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="fm">__str__</span><span class="p">(),</span> <span class="n">_evaluations</span><span class="p">))</span></div>

<div class="viewcode-block" id="Algorithm.progress"><a class="viewcode-back" href="../../../macop/macop.algorithms.Algorithm.html#macop.algorithms.Algorithm.Algorithm.progress">[docs]</a>    <span class="k">def</span> <span class="nf">progress</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
        <span class="sd">&quot;&quot;&quot;</span>
<span class="sd">        Log progress and apply checkpoint if necessary</span>
<span class="sd">        &quot;&quot;&quot;</span>
        <span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">checkpoint</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">checkpoint</span><span class="o">.</span><span class="n">run</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;-- </span><span class="si">%s</span><span class="s2"> evaluation </span><span class="si">%s</span><span class="s2"> of </span><span class="si">%s</span><span class="s2"> (</span><span class="si">%s%%</span><span class="s2">) - BEST SCORE </span><span class="si">%s</span><span class="s2">&quot;</span> <span class="o">%</span>
                     <span class="p">(</span><span class="nb">type</span><span class="p">(</span><span class="bp">self</span><span class="p">)</span><span class="o">.</span><span class="vm">__name__</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span class="n">numberOfEvaluations</span><span class="p">,</span>
                      <span class="bp">self</span><span class="o">.</span><span class="n">maxEvaluations</span><span class="p">,</span> <span class="s2">&quot;</span><span class="si">{0:.2f}</span><span class="s2">&quot;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span>
                          <span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">numberOfEvaluations</span><span class="p">)</span> <span class="o">/</span> <span class="bp">self</span><span class="o">.</span><span class="n">maxEvaluations</span> <span class="o">*</span>
                          <span class="mf">100.</span><span class="p">),</span> <span class="bp">self</span><span class="o">.</span><span class="n">bestSolution</span><span class="o">.</span><span class="n">fitness</span><span class="p">()))</span></div>

    <span class="k">def</span> <span class="nf">information</span><span class="p">(</span><span class="bp">self</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;-- Best </span><span class="si">%s</span><span class="s2"> - SCORE </span><span class="si">%s</span><span class="s2">&quot;</span> <span class="o">%</span>
                     <span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">bestSolution</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span class="n">bestSolution</span><span class="o">.</span><span class="n">fitness</span><span class="p">()))</span>

    <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="k">return</span> <span class="s2">&quot;</span><span class="si">%s</span><span class="s2"> using </span><span class="si">%s</span><span class="s2">&quot;</span> <span class="o">%</span> <span class="p">(</span><span class="nb">type</span><span class="p">(</span><span class="bp">self</span><span class="p">)</span><span class="o">.</span><span class="vm">__name__</span><span class="p">,</span> <span class="nb">type</span><span class="p">(</span>
            <span class="bp">self</span><span class="o">.</span><span class="n">bestSolution</span><span class="p">)</span><span class="o">.</span><span class="vm">__name__</span><span class="p">)</span></div>
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