{ "metadata": { "name": "" }, "nbformat": 3, "nbformat_minor": 0, "worksheets": [ { "cells": [ { "cell_type": "code", "collapsed": false, "input": [ "%load_ext autoreload\n", "%autoreload 2\n" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 1 }, { "cell_type": "code", "collapsed": false, "input": [ "%run nb_init.py" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 2 }, { "cell_type": "code", "collapsed": false, "input": [ "eptm = lj.Epithelium(graphXMLfile='../saved_graphs/01000_2014-02-19T14_07_40.552058/xml/after_apopto.xml',\n", " identifier='01000_2014-02-19T14_07_40.552058')" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 3 }, { "cell_type": "code", "collapsed": false, "input": [ "eptm_before = lj.Epithelium(graphXMLfile=\"../saved_graphs/xml/before_apoptosis.xml\", identifier='0',\n", " paramfile='../default/params.xml')" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 7 }, { "cell_type": "code", "collapsed": false, "input": [ "anisotropies, alignments = eptm.cells.get_anisotropies()\n", "#" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 8 }, { "cell_type": "code", "collapsed": false, "input": [ "eptm.graph.set_vertex_filter(eptm.is_cell_vert)\n", "fig, axes = plt.subplots(2, 1, sharex=True)\n", "axes[0].plot(eptm.zeds.fa, anisotropies.fa.clip(0, 4), 'ro', alpha=0.5)\n", "axes[1].plot(eptm.zeds.fa, alignments.fa, 'ro', alpha=0.5)\n", "eptm.graph.set_vertex_filter(None)\n", "axes[1]\n", "\n", "\n" ], "language": "python", "metadata": {}, "outputs": [ { "metadata": {}, "output_type": "display_data", "png": "iVBORw0KGgoAAAANSUhEUgAAAxAAAAJICAYAAADxUwLTAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nrkJggg==\n", "text": [ "" ] } ], "prompt_number": 10 }, { "cell_type": "code", "collapsed": false, "input": [ "fig, axes = plt.subplots(2, 1, sharex=True)\n", "\n", "eptm_before.graph.set_vertex_filter(eptm_before.is_cell_vert)\n", "axes[0].plot(eptm_before.zeds.fa, anisotropies_before.fa, 'bo', alpha=0.5)\n", "axes[1].plot(eptm_before.zeds.fa, alignments_before.fa, 'bo', alpha=0.5)\n", "eptm_before.graph.set_vertex_filter(None)\n" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 66 }, { "cell_type": "code", "collapsed": false, "input": [ "anisotropies_before, alignments_before = eptm_before.cells.get_anisotropies()" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 10 }, { "cell_type": "code", "collapsed": false, "input": [ "eptm_before.graph.set_vertex_filter(eptm_before.is_cell_vert)\n", "print(anisotropies_before.fa.mean())\n", "print(alignments_before.fa.mean())\n", "eptm_before.graph.set_vertex_filter(None)\n" ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "stream", "stream": "stdout", "text": [ "2.61395914876\n", "0.364363485998\n" ] } ], "prompt_number": 72 }, { "cell_type": "code", "collapsed": false, "input": [ "lj.local_slice(eptm_before, zed_amp=1., theta_amp=np.pi/2, theta_c=0)" ], "language": "python", "metadata": {}, "outputs": [ { "ename": "NameError", "evalue": "name 'eptm_before' is not defined", "output_type": "pyerr", "traceback": [ "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m\n\u001b[1;31mNameError\u001b[0m Traceback (most recent call last)", "\u001b[1;32m\u001b[0m in \u001b[0;36m\u001b[1;34m()\u001b[0m\n\u001b[1;32m----> 1\u001b[1;33m \u001b[0mlj\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mlocal_slice\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0meptm_before\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mzed_amp\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;36m1.\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mtheta_amp\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mnp\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mpi\u001b[0m\u001b[1;33m/\u001b[0m\u001b[1;36m2\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mtheta_c\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;36m0\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m", "\u001b[1;31mNameError\u001b[0m: name 'eptm_before' is not defined" ] } ], "prompt_number": 8 }, { "cell_type": "code", "collapsed": false, "input": [ "eptm_before.sigmas.a = eptm_before.thetas.a * eptm_before.rhos.a.mean()\n", "ax = lj.draw_polygons(eptm_before, eptm_before.zeds, eptm_before.sigmas, \n", " colors=anisotropies_before,\n", " efilt=eptm_before.is_local_edge,\n", " vfilt=eptm_before.is_local_vert)" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 11 }, { "cell_type": "code", "collapsed": false, "input": [ "lj.local_slice(eptm, zed_amp=15., theta_amp=np.pi/2, theta_c=0)\n", "#eptm.update_rhotheta()\n", "ax = lj.draw_polygons(eptm, eptm.zeds, eptm.sigmas, \n", " colors=alignments,\n", " efilt=eptm.is_local_edge,\n", " vfilt=eptm.is_local_vert)" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 12 }, { "cell_type": "code", "collapsed": false, "input": [ "fig, ax = plt.subplots()\n", "ax.plot(eptm.zeds.a, eptm.contractile_grad.a, 'o')" ], "language": "python", "metadata": {}, "outputs": [ { "metadata": {}, "output_type": "pyout", "prompt_number": 26, "text": [ "[]" ] }, { "metadata": {}, "output_type": "display_data", "png": "iVBORw0KGgoAAAANSUhEUgAAAxAAAAJICAYAAADxUwLTAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nANhGAAEAAADAtv8P7u+c8J/mjfQAAAAASUVORK5CYII=\n", "text": [ "" ] } ], "prompt_number": 26 }, { "cell_type": "code", "collapsed": false, "input": [ "lj.draw_polygons(eptm, eptm.zeds, eptm.thetas, colors=eptm.contractile_grad.a)" ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "stream", "stream": "stderr", "text": [ "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n" ] }, { "output_type": "stream", "stream": "stderr", "text": [ "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n" ] }, { "output_type": "stream", "stream": "stderr", "text": [ "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n" ] }, { "output_type": "stream", "stream": "stderr", "text": [ "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n" ] }, { "output_type": "stream", "stream": "stderr", "text": [ "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n" ] }, { "output_type": "stream", "stream": "stderr", "text": [ "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n", "/usr/lib/python3/dist-packages/graph_tool/__init__.py:332: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", " return method(self, *args, **kwargs)\n" ] }, { "metadata": {}, "output_type": "pyout", "prompt_number": 24, "text": [ "" ] }, { "metadata": {}, "output_type": "display_data", "png": "iVBORw0KGgoAAAANSUhEUgAAAxAAAABqCAYAAAAsqLfHAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nfQuXAAAAAElFTkSuQmCC\n", "text": [ "" ] } ], "prompt_number": 24 }, { "cell_type": "code", "collapsed": false, "input": [ "eptm.graph.set_vertex_filter(None)" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 105 }, { "cell_type": "code", "collapsed": false, "input": [ "eptm.graph.set_vertex_filter(eptm.is_cell_vert)\n", "fig, ax = plt.subplots()\n", "ax.plot(eptm.zeds.fa, eptm.cells.areas.fa, 'o', alpha=0.4)\n", "eptm.graph.set_vertex_filter(None)" ], "language": "python", "metadata": {}, "outputs": [ { "metadata": {}, "output_type": "display_data", "png": "iVBORw0KGgoAAAANSUhEUgAAAxAAAAJICAYAAADxUwLTAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nlCmAEBERERGRlCmAEBERERGRlP0fenT12cclthEAAAAASUVORK5CYII=\n", "text": [ "" ] } ], "prompt_number": 15 }, { "cell_type": "code", "collapsed": false, "input": [ "eptm.set_local_mask(None)\n", "lj.running_local_optimum(eptm, 1e-4)" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 14 }, { "cell_type": "code", "collapsed": false, "input": [ "lj.draw(eptm, output3d='tissue_2d.png')" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 17 }, { "cell_type": "code", "collapsed": false, "input": [], "language": "python", "metadata": {}, "outputs": [] } ], "metadata": {} } ] }