refac(mod): Adapt contant names to PEP8

itten/corpus.py

@@ -3,7 +3,7 @@ from cv2 import imread, imwrite
 import numpy as np
 from .movie import Movie
 
-SUMMARY = {'seqmean': {'monochromatic': ['luminance'],
+_summary = {'seqmean': {'monochromatic': ['luminance'],
                        'saturation': ['saturation', 'colourfulness'],
                        'hue': ['hsV', 'labHcl']},
            'distribution': {'monochromatic': ['luminance'],
@@ -20,7 +20,7 @@ class Corpus(object):
     """
     def __init__(self, path='./', summary=False):
         self.basedir = Path(path)
-        self.summary = summary if summary else SUMMARY
+        self.summary = summary if summary else _summary
         self.status = self._report()  # Aktualisieren nach jeder Digitalisier.
         self.movies = self._instantiate_movies()
 
@@ -106,17 +106,17 @@ class Corpus(object):
         tasks = {}
         for m in self.status.keys():
             print(m)
-            for view in SUMMARY.keys():
+            for view in _summary.keys():
                 print(view)
                 print(self.status[m].keys())
                 if view not in self.status[m]['data'].keys():
-                    tasks[view] = SUMMARY[view]
+                    tasks[view] = _summary[view]
                 else:
-                    for contrast in SUMMARY[view].keys():
+                    for contrast in _summary[view].keys():
                         if contrast not in self.status[m]['data'][view].keys():
-                            tasks.setdefault(view, {})[contrast] = (SUMMARY[view][contrast])
+                            tasks.setdefault(view, {})[contrast] = (_summary[view][contrast])
                         else:
-                            for method in SUMMARY[view][contrast]:
+                            for method in _summary[view][contrast]:
                                 if method not in self.status[m]['data'][view][contrast].keys():
                                     tasks.setdefault(view, {}).setdefault(contrast, []).append(method)
         print(tasks)
@@ -151,12 +151,19 @@ class Corpus(object):
         Returns:
             numpy.ndarray -- A numpy ndarry with the data type uint8
                 showing the tableau as an image.
+
+        Todo:
+            FEATURE Allow to create tableaus for all diagrams available for a
+                specific movie
+            FIXME Move tableau methods to the visuals module
         """
         components = self._filter_diagrams(shape=shape, ctrst=ctrst, meth=meth)
         layout = self.layout_tableau(len(components))
         tableau = self._fit_components(components, layout)
         if write:
-            imwrite('tableau.png', tableau)
+            file_name = self.basedir / (shape + '_' + ctrst + '_' +
+                                        meth + '.png')
+            imwrite(str(file_name), tableau)
         return tableau
 
     def _filter_diagrams(self,