X-Git-Url: https://scm.cri.ensmp.fr/git/linpy.git/blobdiff_plain/997e3c68590b274c372a6785cda5a69887683891..35c965895771a3df79744ae54f1eda91f0b62862:/doc/examples.rst

diff --git a/doc/examples.rst b/doc/examples.rst
index 13c59fc..1884f49 100644
--- a/doc/examples.rst
+++ b/doc/examples.rst
@@ -9,27 +9,27 @@ Basic Examples
     >>> x, y = symbols('x y')
     >>> # define the constraints of the polyhedron
     >>> square1 = Le(0, x) & Le(x, 2) & Le(0, y) & Le(y, 2)
-    >>> print(square1)
+    >>> square1
     And(Ge(x, 0), Ge(-x + 2, 0), Ge(y, 0), Ge(-y + 2, 0))
     
     Binary operations and properties examples:
     
-    >>> square2 = Le(2, x) & Le(x, 4) & Le(2, y) & Le(y, 4)
+    >>> square2 = Le(1, x) & Le(x, 3) & Le(1, y) & Le(y, 3)
     >>> #test equality 
     >>> square1 == square2
     False
-    >>> # compute the union of two polygons 
+    >>> # compute the union of two polyhedrons
     >>> square1 | square2
-    Or(And(Ge(x, 0), Ge(-x + 2, 0), Ge(y, 0), Ge(-y + 2, 0)), And(Ge(x - 2, 0), Ge(-x + 4, 0), Ge(y - 2, 0), Ge(-y + 4, 0)))
+    Or(And(Ge(x, 0), Ge(-x + 2, 0), Ge(y, 0), Ge(-y + 2, 0)), And(Ge(x - 1, 0), Ge(-x + 3, 0), Ge(y - 1, 0), Ge(-y + 3, 0)))
     >>> # check if square1 and square2 are disjoint
     >>> square1.disjoint(square2)
     False
-    >>> # compute the intersection of two polygons
+    >>> # compute the intersection of two polyhedrons
     >>> square1 & square2
-    And(Eq(y - 2, 0), Eq(x - 2, 0))
-    >>> # compute the convex union of two polygons
+    And(Ge(x - 1, 0), Ge(-x + 2, 0), Ge(y - 1, 0), Ge(-y + 2, 0))
+    >>> # compute the convex union of two polyhedrons
     >>> Polyhedron(square1 | sqaure2)
-    And(Ge(x, 0), Ge(-x + 4, 0), Ge(y, 0), Ge(-y + 4, 0), Ge(x - y + 2, 0), Ge(-x + y + 2, 0))
+    And(Ge(x, 0), Ge(y, 0), Ge(-y + 3, 0), Ge(-x + 3, 0), Ge(x - y + 2, 0), Ge(-x + y + 2, 0))
     
     Unary operation and properties examples:
     
@@ -55,24 +55,31 @@ Plot Examples
      >>> # define the symbols
      >>> x, y, z = symbols('x y z')
      >>> fig = plt.figure()
-     >>> cham_plot = fig.add_subplot(2, 2, 3, projection='3d')
+     >>> cham_plot = fig.add_subplot(1, 1, 1, projection='3d', aspect='equal')
      >>> cham_plot.set_title('Chamfered cube')
-     >>> cham = Le(0, x) & Le(x, 3) & Le(0, y) & Le(y, 3) & Le(0, z) & Le(z, 3) & Le(z - 2, x) & Le(x, z + 2) & Le(1 - z, x) & Le(x, 5 - z) & Le(z - 2, y) & Le(y, z + 2) & Le(1 - z, y) & Le(y, 5 - z) & Le(y - 2, x) & Le(x, y + 2) & Le(1 - y, x) & Le(x, 5 - y)
-     >>> cham.plot(cham_plot, facecolors=(1, 0, 0, 0.75))
+     >>> cham = Le(0, x) & Le(x, 3) & Le(0, y) & Le(y, 3) & Le(0, z) & \
+     Le(z, 3) & Le(z - 2, x) & Le(x, z + 2) & Le(1 - z, x) & \
+     Le(x, 5 - z) & Le(z - 2, y) & Le(y, z + 2) & Le(1 - z, y) & \
+     Le(y, 5 - z) & Le(y - 2, x) & Le(x, y + 2) & Le(1 - y, x) & Le(x, 5 - y)
+     >>> cham.plot(cham_plot, facecolor='red', alpha=0.75)
      >>> pylab.show()
 
-     .. figure:: images/cube.jpg
+     .. figure:: images/cham_cube.jpg
         :align:  center
 
-     LinPy can also inspect a polygon's vertices and the integer points included in the polygon.
+LinPy can also inspect a polygon's vertices and the integer points included in the polygon.
 
      >>> diamond = Ge(y, x - 1) & Le(y, x + 1) & Ge(y, -x - 1) & Le(y, -x + 1)
      >>> diamond.vertices()
-     [Point({x: Fraction(0, 1), y: Fraction(1, 1)}), Point({x: Fraction(-1, 1), y: Fraction(0, 1)}), Point({x: Fraction(1, 1), y: Fraction(0, 1)}), Point({x: Fraction(0, 1), y: Fraction(-1, 1)})]
+     [Point({x: Fraction(0, 1), y: Fraction(1, 1)}), \
+     Point({x: Fraction(-1, 1), y: Fraction(0, 1)}), \
+     Point({x: Fraction(1, 1), y: Fraction(0, 1)}), \
+     Point({x: Fraction(0, 1), y: Fraction(-1, 1)})]
      >>> diamond.points()
-     [Point({x: -1, y: 0}), Point({x: 0, y: -1}), Point({x: 0, y: 0}), Point({x: 0, y: 1}), Point({x: 1, y: 0})]
+     [Point({x: -1, y: 0}), Point({x: 0, y: -1}), Point({x: 0, y: 0}), \
+     Point({x: 0, y: 1}), Point({x: 1, y: 0})]
      
-     The user also can pass another plot to the :meth:`plot` method. This can be useful to compare two polyhedrons on the same axis. This example illustrates the union of two squares.
+The user also can pass another plot to the :meth:`plot` method. This can be useful to compare two polyhedrons on the same axis. This example illustrates the union of two squares.
      
     >>> from linpy import *
     >>> import matplotlib.pyplot as plt