added multi paramter funtion to example project

docs/build/html/_sources/user/index.rst.txt

@@ -62,6 +62,26 @@ Afterwards, we add some attributes to this parameter::
     parameter1.attrs['variable'] = '-'
     parameter1.attrs['origin'] = 'this'
 
+A more efficient way to add the paramters can be achieved by using the function build_multi_paramters.
+First, you need to include the function as follows::
+
+    from pykkn.build_multi_parameters import build_multi_parameters
+
+Then you can create a dictionary with all the parameters::
+
+    dic = {
+    "list_of_parameters": [
+        {"name": "gain", "value": 1, "units": '-', "variables": '-', "orign": 'this'}
+    ]
+    }
+
+This dictionary can be adding more parameters by just adding another line in curly brackets. |br|
+The builrd_multi_parameters uses the before created dictionary::
+
+    paramter1 = build_multi_paramters(dic)
+
+You can choose one of the two shown ways to create parameters.
+
 The next step is to create model to which we can add the parameters.
 In this case, we create the model1 which is called "feedthrough".
 Afterwards we add the parameters to this model::
@@ -196,9 +216,9 @@ The output of this short project can be seen below:
 
 .. start of the explanation of the recurring functionalities of the differen modules
 
-=======================================
+=========================================
 Recurring functionalities and attributes
-=======================================
+=========================================
 
 In PYKKN, you will find several functions that are avalaible in different modules. To achieve this, the library is based on object-oriented programming 
 and several modules inherit functions from the storable class. The functions of this class will be explained below in more detail to avoid explaining again for each module. 

docs/build/html/user/index.html

@@ -157,6 +157,25 @@ Afterwards, we add some attributes to this parameter:</p>
 <span class="n">parameter1</span><span class="o">.</span><span class="n">attrs</span><span class="p">[</span><span class="s1">&#39;origin&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="s1">&#39;this&#39;</span>
 </pre></div>
 </div>
+<p>A more efficient way to add the paramters can be achieved by using the function build_multi_paramters.
+First, you need to include the function as follows:</p>
+<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="kn">from</span> <span class="nn">pykkn.build_multi_parameters</span> <span class="kn">import</span> <span class="n">build_multi_parameters</span>
+</pre></div>
+</div>
+<p>Then you can create a dictionary with all the parameters:</p>
+<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="n">dic</span> <span class="o">=</span> <span class="p">{</span>
+<span class="s2">&quot;list_of_parameters&quot;</span><span class="p">:</span> <span class="p">[</span>
+    <span class="p">{</span><span class="s2">&quot;name&quot;</span><span class="p">:</span> <span class="s2">&quot;gain&quot;</span><span class="p">,</span> <span class="s2">&quot;value&quot;</span><span class="p">:</span> <span class="mi">1</span><span class="p">,</span> <span class="s2">&quot;units&quot;</span><span class="p">:</span> <span class="s1">&#39;-&#39;</span><span class="p">,</span> <span class="s2">&quot;variables&quot;</span><span class="p">:</span> <span class="s1">&#39;-&#39;</span><span class="p">,</span> <span class="s2">&quot;orign&quot;</span><span class="p">:</span> <span class="s1">&#39;this&#39;</span><span class="p">}</span>
+<span class="p">]</span>
+<span class="p">}</span>
+</pre></div>
+</div>
+<p>This dictionary can be adding more parameters by just adding another line in curly brackets. <br>
+The builrd_multi_parameters uses the before created dictionary:</p>
+<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="n">paramter1</span> <span class="o">=</span> <span class="n">build_multi_paramters</span><span class="p">(</span><span class="n">dic</span><span class="p">)</span>
+</pre></div>
+</div>
+<p>You can choose one of the two shown ways to create parameters.</p>
 <p>The next step is to create model to which we can add the parameters.
 In this case, we create the model1 which is called “feedthrough”.
 Afterwards we add the parameters to this model:</p>

docs/source/user/index.rst

@@ -62,6 +62,26 @@ Afterwards, we add some attributes to this parameter::
     parameter1.attrs['variable'] = '-'
     parameter1.attrs['origin'] = 'this'
 
+A more efficient way to add the paramters can be achieved by using the function build_multi_paramters.
+First, you need to include the function as follows::
+
+    from pykkn.build_multi_parameters import build_multi_parameters
+
+Then you can create a dictionary with all the parameters::
+
+    dic = {
+    "list_of_parameters": [
+        {"name": "gain", "value": 1, "units": '-', "variables": '-', "orign": 'this'}
+    ]
+    }
+
+This dictionary can be adding more parameters by just adding another line in curly brackets. |br|
+The builrd_multi_parameters uses the before created dictionary::
+
+    paramter1 = build_multi_paramters(dic)
+
+You can choose one of the two shown ways to create parameters.
+
 The next step is to create model to which we can add the parameters.
 In this case, we create the model1 which is called "feedthrough".
 Afterwards we add the parameters to this model::
@@ -196,9 +216,9 @@ The output of this short project can be seen below:
 
 .. start of the explanation of the recurring functionalities of the differen modules
 
-=======================================
+=========================================
 Recurring functionalities and attributes
-=======================================
+=========================================
 
 In PYKKN, you will find several functions that are avalaible in different modules. To achieve this, the library is based on object-oriented programming 
 and several modules inherit functions from the storable class. The functions of this class will be explained below in more detail to avoid explaining again for each module.