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All settings as JSON and documentation updated

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Tasio Mendez
2017-05-16 14:02:50 +02:00
parent 23fc9671c3
commit a643735ddb
20 changed files with 90 additions and 81 deletions
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8
docs/_build/html/models.html vendored
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@@ -51,7 +51,7 @@
In practice, a model consists of at least two parts:</p>
<ul class="simple">
<li>Python module: the actual code that describes the behaviour.</li>
<li>Setting up the variables in the Simulation Settings JSON file.</li>
<li>Setting up the variables in the Settings JSON file.</li>
</ul>
<p>This separation allows us to run the simulation with different agents.</p>
</div>
@@ -63,10 +63,10 @@ In practice, a model consists of at least two parts:</p>
<span class="n">networkStatus</span> <span class="o">=</span> <span class="p">{}</span> <span class="c1"># Dict that will contain the status of every agent in the network</span>
<span class="n">sentimentCorrelationNodeArray</span> <span class="o">=</span> <span class="p">[]</span>
<span class="k">for</span> <span class="n">x</span> <span class="ow">in</span> <span class="nb">range</span><span class="p">(</span><span class="mi">0</span><span class="p">,</span> <span class="n">settings</span><span class="o">.</span><span class="n">number_of_nodes</span><span class="p">):</span>
<span class="k">for</span> <span class="n">x</span> <span class="ow">in</span> <span class="nb">range</span><span class="p">(</span><span class="mi">0</span><span class="p">,</span> <span class="n">settings</span><span class="o">.</span><span class="n">network_params</span><span class="p">[</span><span class="s2">&quot;number_of_nodes&quot;</span><span class="p">]):</span>
<span class="n">sentimentCorrelationNodeArray</span><span class="o">.</span><span class="n">append</span><span class="p">({</span><span class="s1">&#39;id&#39;</span><span class="p">:</span> <span class="n">x</span><span class="p">})</span>
<span class="c1"># Initialize agent states. Let&#39;s assume everyone is normal.</span>
<span class="n">init_states</span> <span class="o">=</span> <span class="p">[{</span><span class="s1">&#39;id&#39;</span><span class="p">:</span> <span class="mi">0</span><span class="p">,</span> <span class="p">}</span> <span class="k">for</span> <span class="n">_</span> <span class="ow">in</span> <span class="nb">range</span><span class="p">(</span><span class="n">settings</span><span class="o">.</span><span class="n">number_of_nodes</span><span class="p">)]</span>
<span class="n">init_states</span> <span class="o">=</span> <span class="p">[{</span><span class="s1">&#39;id&#39;</span><span class="p">:</span> <span class="mi">0</span><span class="p">,</span> <span class="p">}</span> <span class="k">for</span> <span class="n">_</span> <span class="ow">in</span> <span class="nb">range</span><span class="p">(</span><span class="n">settings</span><span class="o">.</span><span class="n">network_params</span><span class="p">[</span><span class="s2">&quot;number_of_nodes&quot;</span><span class="p">])]</span>
<span class="c1"># add keys as as necessary, but &quot;id&quot; must always refer to that state category</span>
</pre></div>
</div>
@@ -114,7 +114,7 @@ passed as a parameter to the simulation.</p>
</pre></div>
</div>
<p>In this file you will also define the models you are going to simulate. You can simulate as many models as you want.
The simulation returns one result for each model. For the usage, see <a class="reference internal" href="usage.html"><span class="doc">Usage</span></a>.</p>
The simulation returns one result for each model, executing each model separately. For the usage, see <a class="reference internal" href="usage.html"><span class="doc">Usage</span></a>.</p>
</div>
<div class="section" id="example-model">
<h2>Example Model<a class="headerlink" href="#example-model" title="Permalink to this headline"></a></h2>