Fix docstrings

src/graph_tool/__init__.py

@@ -1186,7 +1186,7 @@ def edge_endpoint_property(g, prop, endpoint, eprop=None):
     >>> g = gt.random_graph(100, lambda: (3, 3))
     >>> esource = gt.edge_endpoint_property(g, g.vertex_index, "source")
     >>> print(esource.a)
-   [ 0  0  0 96 96 96 92 92 92 88 88 88 84 84 84 80 80 80 76 76 76 72 72 72
+    [ 0  0  0 96 96 96 92 92 92 88 88 88 84 84 84 80 80 80 76 76 76 72 72 72
      68 68 68 64 64 64 60 60 60 56 56 56 52 52 52 48 48 48 44 44 44 40 40 40
      36 36 36 32 32 32 28 28 28 24 24 24 20 20 20 16 16 16 12 12 12  8  8  8
       4  4  4 99 99 99  1  1  1  2  2  2  3  3  3  5  5  5  6  6  6  7  7  7

src/graph_tool/inference/blockmodel.py

@@ -2056,10 +2056,10 @@ class BlockState(object):
            >>> state.mcmc_sweep(niter=1000)   # remove part of the transient
            (...)
            >>> for i in range(1000):
-           ...     state.mcmc_sweep(niter=10)
+           ...     ret = state.mcmc_sweep(niter=10)
            ...     pe = state.collect_edge_marginals(pe)
            >>> gt.bethe_entropy(g, pe)[0]
-           -21.162075...
+           -0.901611...
         """
 
         if p is None:
@@ -2110,10 +2110,10 @@ class BlockState(object):
            >>> state.mcmc_sweep(niter=1000)   # remove part of the transient
            (...)
            >>> for i in range(1000):
-           ...     state.mcmc_sweep(niter=10)
+           ...     ret = state.mcmc_sweep(niter=10)
            ...     pv = state.collect_vertex_marginals(pv)
            >>> gt.mf_entropy(g, pv)
-           7.578883...
+           26.887021...
            >>> gt.graph_draw(g, pos=g.vp["pos"], vertex_shape="pie",
            ...               vertex_pie_fractions=pv, output="polbooks_blocks_soft_B4.pdf")
            <...>
@@ -2176,10 +2176,10 @@ class BlockState(object):
            >>> state.mcmc_sweep(niter=1000)   # remove part of the transient
            (...)
            >>> for i in range(1000):
-           ...     state.mcmc_sweep(niter=10)
+           ...     ret = state.mcmc_sweep(niter=10)
            ...     ph = state.collect_partition_histogram(ph)
            >>> gt.microstate_entropy(ph)
-           146.181674...
+           129.330077...
         """
 
         if h is None:

src/graph_tool/topology/__init__.py

@@ -1230,18 +1230,18 @@ def label_biconnected_components(g, eprop=None, vprop=None):
     >>> g = gt.random_graph(100, lambda: poisson(2), directed=False)
     >>> comp, art, hist = gt.label_biconnected_components(g)
     >>> print(comp.a)
-    [26 26 26 26 26 26 26 26 19 25 26 26 23 26 26 26 26  6 26 24 18 26 26 13 26
-     26 26 26 26 26 26 26 26 26 26 16 29 26 26 26 26 26 26 15 26 26 26 26 26  0
-     26 26 12  2 26 26 26 26 26 26 26 26  9  3 26 28 26 26  8 26  4 26 26 26 14
-     26 26 26 26 30 11 26 26 26 20 26 26 27 26 33 26 22 17  7  5 32 21 26  1 10
-     31]
+    [26 26 26 26 26 26 26 26 19 25 26 26 23 26 26 26 26  6 26 24 18 26 26 13
+     26 26 26 26 26 26 26 26 26 26 26 16 29 26 26 26 26 26 26 15 26 26 26 26
+     26  0 26 26 12  2 26 26 26 26 26 26 26 26  9  3 26 28 26 26  8 26  4 26
+     26 26 14 26 26 26 26 30 11 26 26 26 20 26 26 27 26 33 26 22 17  7  5 32
+     21 26  1 10 31]
     >>> print(art.a)
     [1 0 1 1 0 0 0 0 0 0 0 0 1 0 0 1 1 0 0 0 0 0 0 0 0 0 0 0 1 1 0 0 0 0 1 1 0
      1 1 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 1 1 0 1 0 0 0 0 1 0 0 1 0 0 0 0 0 0 0 0
      1 0 0 1 0 0 0 1 1 0 0 1 0 0 1 1 0 0 0 1 0 0 1 0 0 0]
     >>> print(hist)
-    [ 1  1  1  1  1  1  1  1  1  1  1  1  1  1  1  1  1  1  1  1  1  1  1  1  1
-      1 68  1  1  1  1  1  1  1]
+    [ 1  1  1  1  1  1  1  1  1  1  1  1  1  1  1  1  1  1  1  1  1  1  1  1
+      1  1 68  1  1  1  1  1  1  1]
 
     """