adapted docs

Author: benmaier

docs/dev_notes/img/test_config.png

@@ -18,7 +18,19 @@ with an output looking like this
 
 .. code:: bash
 
-    PLACEHOLDER
+	---------- coverage: platform darwin, python 3.7.3-final-0 -----------
+	Name                        Stmts   Miss  Cover
+	-----------------------------------------------
+	netwulf/__init__.py             4      0   100%
+	netwulf/interactive.py        154     24    84%
+	netwulf/metadata.py             9      0   100%
+	netwulf/tests/__init__.py       1      0   100%
+	netwulf/tests/test_all.py      70      2    97%
+	netwulf/tools.py               92      1    99%
+	-----------------------------------------------
+	TOTAL                         330     27    92%
+	
+	================ 5 passed, 4 warnings in 58.81 seconds ================
 
 If you open a pull request, make sure you ran the tests and copy the test report
 as a comment with your pull request like so
@@ -61,6 +73,23 @@ A browser window will be opened with a visualization looking like this.
 
 It will close automatically.
 
+Config
+~~~~~~~
+
+The config test starts a visualization with a configuration where each entry differs from its default value.
+
+.. code:: python
+
+    T.test_config_adaption()
+
+A browser window will be opened with a visualization looking like this.
+
+.. figure:: img/test_config.png
+
+    Posting test
+
+It will close automatically. The test checks wether the returned configuration is equal to the posted configuration.
+
 Reproducibility
 ~~~~~~~~~~~~~~~
 

docs/dev_notes/img/test_matplotlib.png

@@ -87,32 +87,33 @@ which was used to generate this figure will resemble
 
     default_config = {
         # Input/output
-        'zoom': 1.5,
+        'zoom': 1,
         # Physics
-        'node_charge': -30,
+        'node_charge': -45,
         'node_gravity': 0.1,
-        'link_distance': 10,
-        'node_collision': False,
+        'link_distance': 15,
+        'link_distance_variation': 0,
+        'node_collision': True,
         'wiggle_nodes': False,
         'freeze_nodes': False,
         # Nodes
-        'node_fill_color': '#16a085',
-        'node_stroke_color': '#000000',
+        'node_fill_color': '#79aaa0',
+        'node_stroke_color': '#555555',
         'node_label_color': '#000000',
         'display_node_labels': False,
         'scale_node_size_by_strength': False,
-        'node_size': 10,
-        'node_stroke_width': 0.5,
-        'node_size_unevenness': 0.5,
+        'node_size': 5,
+        'node_stroke_width': 1,
+        'node_size_variation': 0.5,
         # Links
         'link_color': '#7c7c7c',
-        'link_width': 5,
+        'link_width': 2,
         'link_alpha': 0.5,
-        'link_width_unevenness': 0.5,
+        'link_width_variation': 0.5,
         # Thresholding
-        'display_singleton_nodes': False,
-        'min_link_weight_percentage': 0,
-        'max_link_weight_percentage': 100
+        'display_singleton_nodes': True,
+        'min_link_weight_percentile': 0,
+        'max_link_weight_percentile': 1
     }
 
 If the visualization was started from a Jupyter notebook, a picture of the stylized

docs/dev_notes/testing.rst

@@ -196,35 +196,35 @@ def visualize(network,
 
             default_config = {
                 # Input/output
-                'zoom': 1.5,
+                'zoom': 1,
                 # Physics
-                'node_charge': -30,
+                'node_charge': -45,
                 'node_gravity': 0.1,
-                'link_distance': 10,
+                'link_distance': 15,
                 'link_distance_variation': 0,
-                'node_collision': False,
+                'node_collision': True,
                 'wiggle_nodes': False,
                 'freeze_nodes': False,
                 # Nodes
-                'node_fill_color': '#16a085',
-                'node_stroke_color': '#000000',
+                'node_fill_color': '#79aaa0',
+                'node_stroke_color': '#555555',
                 'node_label_color': '#000000',
                 'display_node_labels': False,
                 'scale_node_size_by_strength': False,
-                'node_size': 10,
-                'node_stroke_width': 0.5,
+                'node_size': 5,
+                'node_stroke_width': 1,
                 'node_size_variation': 0.5,
                 # Links
                 'link_color': '#7c7c7c',
-                'link_width': 5,
+                'link_width': 2,
                 'link_alpha': 0.5,
                 'link_width_variation': 0.5,
                 # Thresholding
-                'display_singleton_nodes': False,
+                'display_singleton_nodes': True,
                 'min_link_weight_percentile': 0,
                 'max_link_weight_percentile': 1
             }
-    plot_in_cell_below : bool, default : True
+
         When started from a Jupyter notebook, this will show a
         reproduced matplotlib figure of the stylized network
         in a cell below. Only works if ``verbose = False``.