matplotlib
diff --git a/‎lib/matplotlib/offsetbox.py‎
Lines changed: 0 additions & 41 deletions b/‎lib/matplotlib/offsetbox.py‎
Lines changed: 0 additions & 41 deletions
diff --git a/‎lib/matplotlib/rcsetup.py‎
Lines changed: 3 additions & 11 deletions b/‎lib/matplotlib/rcsetup.py‎
Lines changed: 3 additions & 11 deletions
diff --git a/‎lib/mpl_toolkits/axes_grid1/mpl_axes.py‎
Lines changed: 0 additions & 8 deletions b/‎lib/mpl_toolkits/axes_grid1/mpl_axes.py‎
Lines changed: 0 additions & 8 deletions
@@ -1765,44 +1765,3 @@ def update_offset(self, dx, dy):
         ann = self.annotation
         ann.xyann = ann.get_transform().inverted().transform(
             (self.ox + dx, self.oy + dy))
-
-
-if __name__ == "__main__":
-    import matplotlib.pyplot as plt
-    fig = plt.figure()
-    ax = plt.subplot(121)
-
-    #txt = ax.text(0.5, 0.5, "Test", size=30, ha="center", color="w")
-    kwargs = dict()
-
-    a = np.arange(256).reshape(16, 16) / 256.
-    myimage = OffsetImage(a,
-                          zoom=2,
-                          norm=None,
-                          origin=None,
-                          **kwargs
-                          )
-    ax.add_artist(myimage)
-
-    myimage.set_offset((100, 100))
-
-    myimage2 = OffsetImage(a,
-                           zoom=2,
-                           norm=None,
-                           origin=None,
-                           **kwargs
-                           )
-    ann = AnnotationBbox(myimage2, (0.5, 0.5),
-                         xybox=(30, 30),
-                         xycoords='data',
-                         boxcoords="offset points",
-                         frameon=True, pad=0.4,  # BboxPatch
-                         bboxprops=dict(boxstyle="round", fc="y"),
-                         fontsize=None,
-                         arrowprops=dict(arrowstyle="->"),
-                         )
-
-    ax.add_artist(ann)
-
-    plt.draw()
-    plt.show()
@@ -1115,7 +1115,7 @@ def _validate_linestyle(ls):
     'text.color':          ['black', validate_color],
     'text.usetex':         [False, validate_bool],
     'text.latex.unicode':  [True, validate_bool],
-    'text.latex.preamble': [[''], validate_stringlist],
+    'text.latex.preamble': [[], validate_stringlist],
     'text.latex.preview':  [False, validate_bool],
     'text.dvipnghack':     [None, validate_bool_maybe_none],
     'text.hinting':        ['auto', validate_hinting],
@@ -1391,7 +1391,7 @@ def _validate_linestyle(ls):
     # use matplotlib rc settings for font configuration
     'pgf.rcfonts':   [True, validate_bool],
     # provide a custom preamble for the latex process
-    'pgf.preamble':  [[''], validate_stringlist],
+    'pgf.preamble':  [[], validate_stringlist],
 
     # write raster image data directly into the svg file
     'svg.image_inline':     [True, validate_bool],
@@ -1412,7 +1412,7 @@ def _validate_linestyle(ls):
     'agg.path.chunksize': [0, validate_int],       # 0 to disable chunking;
 
     # key-mappings (multi-character mappings should be a list/tuple)
-    'keymap.fullscreen':   [('f', 'ctrl+f'), validate_stringlist],
+    'keymap.fullscreen':   [['f', 'ctrl+f'], validate_stringlist],
     'keymap.home':         [['h', 'r', 'home'], validate_stringlist],
     'keymap.back':         [['left', 'c', 'backspace'], validate_stringlist],
     'keymap.forward':      [['right', 'v'], validate_stringlist],
@@ -1463,11 +1463,3 @@ def _validate_linestyle(ls):
     # altogether.  For that use `matplotlib.style.use('classic')`.
     '_internal.classic_mode': [False, validate_bool]
 }
-
-
-if __name__ == '__main__':
-    rc = defaultParams
-    rc['datapath'][0] = '/'
-    for key in rc:
-        if not rc[key][1](rc[key][0]) == rc[key][0]:
-            print("%s: %s != %s" % (key, rc[key][1](rc[key][0]), rc[key][0]))
@@ -131,11 +131,3 @@ def toggle(self, all=None, ticks=None, ticklabels=None, label=None):
             elif _label:
                 self._axis.label.set_visible(True)
                 self._axis.set_label_position(self._axis_direction)
-
-
-if __name__ == '__main__':
-    import matplotlib.pyplot as plt
-    fig = plt.figure()
-    ax = Axes(fig, [0.1, 0.1, 0.8, 0.8])
-    fig.add_axes(ax)
-    ax.cla()